diff --git a/30/paper.pdf b/30/paper.pdf new file mode 100644 index 0000000000000000000000000000000000000000..7b842bf0dd28fd8c510c9d266bfc9f45e6303f92 --- /dev/null +++ b/30/paper.pdf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7a4d6d6dfe479cf46d6d94f1f1c9f35333e47722eb11986151953e99e7aecd79 +size 523522 diff --git a/30/replication_package/Adofiles/DCdensity_2009/DCdensity.ado b/30/replication_package/Adofiles/DCdensity_2009/DCdensity.ado new file mode 100644 index 0000000000000000000000000000000000000000..b76aa0ab28b7c2d7ad847c6884c8176af271640a --- /dev/null +++ b/30/replication_package/Adofiles/DCdensity_2009/DCdensity.ado @@ -0,0 +1,440 @@ +//Notes: +// This ado file was created by Brian Kovak, a Ph.D. student at the University +// of Michigan, under the direction of Justin McCrary. McCrary made some +// cosmetic alterations to the code, added some further error traps, and +// ran some simulations to ensure that +// there was no glitch in implementation. This file is not the basis for +// the estimates in McCrary (2008), however. + +// The purpose of the file is to create a STATA command, -DCdensity-, which +// will allow for ready estimation of a discontinuous density function, as +// outlined in McCrary (2008), "Manipulation of the Running Variable in the +// Regression Discontinuity Design: A Density Test", Journal of Econometrics. + +// The easiest way to use the file is to put it in your ado subdirectory. If +// you don't know where that is, try using -sysdir- at the Stata prompt. + +// A feature of the program is that it is much faster than older STATA routines +// (e.g., -kdensity-). The source of the speed improvements is the use of +// MATA for both looping and for estimation of the regressions, and the lack of +// use of -preserve-. + +// An example program showing how to use -DCdensity- is given in the file +// DCdensity_example.do + +// JRM, 9/2008 + +// Update: Fixed bug that occurs when issuing something like +// DCdensity Z if female==1, breakpoint(0) generate(Xj Yj r0 fhat se_fhat) graphname(DCdensity_example.eps) + +// Update 11.17.2009: Fixed bugs in XX matrix (see comments) and in hright (both code typos) + + +capture program drop DCdensity +program DCdensity, rclass +{ + version 9.0 + set more off + pause on + syntax varname(numeric) [if/] [in/], breakpoint(real) GENerate(string) /// + [ b(real 0) h(real 0) at(string) graphname(string) noGRaph] + + marksample touse + + //Advanced user switch + //0 - supress auxiliary output 1 - display aux output + local verbose 1 + + //Bookkeeping before calling MATA function + //"running variable" in terminology of McCrary (2008) + local R "`varlist'" + + tokenize `generate' + local wc : word count `generate' + if (`wc'!=5) { + //generate(Xj Yj r0 fhat se_fhat) is suggested + di "Specify names for five variables in generate option" + di "1. Name of variable in which to store cell midpoints of histogram" + di "2. Name of variable in which to store cell heights of histogram" + di "3. Name of variable in which to store evaluation sequence for local linear regression loop" + di "4. Name of variable in which to store local linear density estimate" + di "5. Name of variable in which to store standard error of local linear density estimate" + error 198 + } + else { + local cellmpname = "`1'" + local cellvalname = "`2'" + local evalname = "`3'" + local cellsmname = "`4'" + local cellsmsename = "`5'" + confirm new var `1' + confirm new var `2' + capture confirm new var `3' + if (_rc!=0 & "`at'"!="`3'") error 198 + confirm new var `4' + confirm new var `5' + } + + //If the user does not specify the evaluation sequence, this it is taken to be the histogram midpoints + if ("`at'" == "") { + local at = "`1'" + } + + //Call MATA function + mata: DCdensitysub("`R'", "`touse'", `breakpoint', `b', `h', `verbose', "`cellmpname'", "`cellvalname'", /// + "`evalname'", "`cellsmname'", "`cellsmsename'", "`at'") + + //Dump MATA return codes into STATA return codes + return scalar theta = r(theta) + return scalar se = r(se) + return scalar binsize = r(binsize) + return scalar bandwidth = r(bandwidth) + + //if user wants the graph... + if ("`graph'"!="nograph") { + tempvar hi + quietly gen `hi' = `cellsmname' + 1.96*`cellsmsename' + tempvar lo + quietly gen `lo' = `cellsmname' - 1.96*`cellsmsename' + gr twoway (scatter `cellvalname' `cellmpname', msymbol(circle_hollow) mcolor(gray)) /// + (line `cellsmname' `evalname' if `evalname' < `breakpoint', lcolor(black) lwidth(medthick)) /// + (line `cellsmname' `evalname' if `evalname' > `breakpoint', lcolor(black) lwidth(medthick)) /// + (line `hi' `evalname' if `evalname' < `breakpoint', lcolor(black) lwidth(vthin)) /// + (line `lo' `evalname' if `evalname' < `breakpoint', lcolor(black) lwidth(vthin)) /// + (line `hi' `evalname' if `evalname' > `breakpoint', lcolor(black) lwidth(vthin)) /// + (line `lo' `evalname' if `evalname' > `breakpoint', lcolor(black) lwidth(vthin)), /// + xline(`breakpoint', lcolor(black)) ylabel(0(0.0005)0.001,labsize(huge)) xlabel(`breakpoint', labsize(huge)) graphregion(color(white)) legend(off) + if ("`graphname'"!="") { + di "Exporting graph as `graphname'" + graph export `graphname', replace + } + } +} +end + + +mata: +mata set matastrict on + +void DCdensitysub(string scalar runvar, string scalar tousevar, real scalar c, real scalar b, /// + real scalar h, real scalar verbose, string scalar cellmpname, string scalar cellvalname, /// + string scalar evalname, string scalar cellsmname, string scalar cellsmsename, /// + string scalar atname) { + // inputs: runvar - name of stata running variable ("R" in McCrary (2008)) + // tousevar - name of variable indicating which obs to use + // c - point of potential discontinuity + // b - bin size entered by user (zero if default is to be used) + // h - bandwidth entered by user (zero if default is to be used) + // verbose - flag for extra messages printing to screen + // cellmpname - name of new variable that will hold the histogram cell midpoints + // cellvalname - name of new variable that will hold the histogram values + // evalname - name of new variable that will hold locations where the histogram smoothing was + // evaluated + // cellsmname - name of new variable that will hold the smoothed histogram cell values + // cellsmsename - name of new variable that will hold standard errors for smoothed histogram cells + // atname - name of existing stata variable holding points at which to eval smoothed histogram + + //declarations for general use and histogram generation + real colvector run // stata running variable + string scalar statacom // string to hold stata commands + real scalar errcode // scalar to hold return code for stata commands + real scalar rn, rsd, rmin, rmax, rp75, rp25, riqr // scalars for summary stats of running var + real scalar l, r // midpoint of lowest bin and highest bin in histogram + real scalar lc, rc // midpoint of bin just left of and just right of breakpoint + real scalar j // number of bins spanned by running var + real colvector binnum // each obs bin number + real colvector cellval // histogram cell values + real scalar i // counter + real scalar cellnum // cell value holder for histogram generation + real colvector cellmp // histogram cell midpoints + + //Set up histogram grid + + st_view(run, ., runvar, tousevar) //view of running variable--only observations for which `touse'=1 + + //Get summary stats on running variable + statacom = "quietly summarize " + runvar + " if " + tousevar + ", det" + errcode=_stata(statacom,1) + if (errcode!=0) { + "Unable to successfully execute the command "+statacom + "Check whether you have given Stata enough memory" + } + rn = st_numscalar("r(N)") + rsd = st_numscalar("r(sd)") + rmin = st_numscalar("r(min)") + rmax = st_numscalar("r(max)") + rp75 = st_numscalar("r(p75)") + rp25 = st_numscalar("r(p25)") + riqr = rp75 - rp25 + + if ( (c<=rmin) | (c>=rmax) ) { + printf("Breakpoint must lie strictly within range of running variable\n") + _error(3498) + } + + //set bin size to default in paper sec. III.B unless provided by the user + if (b == 0) { + b = 2*rsd*rn^(-1/2) + if (verbose) printf("Using default bin size calculation, bin size = %f\n", b) + } + + //bookkeeping + l = floor((rmin-c)/b)*b+b/2+c // midpoint of lowest bin in histogram + r = floor((rmax-c)/b)*b+b/2+c // midpoint of lowest bin in histogram + lc = c-(b/2) // midpoint of bin just left of breakpoint + rc = c+(b/2) // midpoint of bin just right of breakpoint + j = floor((rmax-rmin)/b)+2 + + //create bin numbers corresponding to run... See McCrary (2008, eq 2) + binnum = round((((floor((run :- c):/b):*b:+b:/2:+c) :- l):/b) :+ 1) // bin number for each obs + + //generate histogram + cellval = J(j,1,0) // initialize cellval as j-vector of zeros + for (i = 1; i <= rn; i++) { + cellnum = binnum[i] + cellval[cellnum] = cellval[cellnum] + 1 + } + + cellval = cellval :/ rn // convert counts into fractions + cellval = cellval :/ b // normalize histogram to integrate to 1 + cellmp = range(1,j,1) // initialize cellmp as vector of integers from 1 to j + cellmp = floor(((l :+ (cellmp:-1):*b):-c):/b):*b:+b:/2:+c // convert bin numbers into cell midpoints + + //place histogram info into stata data set + real colvector stcellval // stata view for cell value variable + real colvector stcellmp // stata view for cell midpoint variable + + (void) st_addvar("float", cellvalname) + st_view(stcellval, ., cellvalname) + (void) st_addvar("float", cellmpname) + st_view(stcellmp, ., cellmpname) + stcellval[|1\j|] = cellval + stcellmp[|1\j|] = cellmp + + //Run 4th order global polynomial on histogram to get optimal bandwidth (if necessary) + real matrix P // projection matrix returned from orthpoly command + real matrix betaorth4 // coeffs from regression of orthogonal powers of cellmp + real matrix beta4 // coeffs from normal regression of powers of cellmp + real scalar mse4 // mean squared error from polynomial regression + real scalar hleft, hright // bandwidth est from polynomial left of and right of breakpoint + real scalar leftofc, rightofc // bin number just left of and just right of breakpoint + real colvector cellmpleft, cellmpright // cell midpoints left of and right of breakpoint + real colvector fppleft, fppright // fit second deriv of hist left of and right of breakpoint + + //only calculate optimal bandwidth if user hasn't provided one + if (h == 0) { + //separate cells left of and right of the cutoff + leftofc = round((((floor((lc - c)/b)*b+b/2+c) - l)/b) + 1) // bin number just left of breakpoint + rightofc = round((((floor((rc - c)/b)*b+b/2+c) - l)/b) + 1) // bin number just right of breakpoint + if (rightofc-leftofc != 1) { + printf("Error occurred in optimal bandwidth calculation\n") + _error(3498) + } + cellmpleft = cellmp[|1\leftofc|] + cellmpright = cellmp[|rightofc\j|] + + //estimate 4th order polynomial left of the cutoff + statacom = "orthpoly " + cellmpname + ", generate(" + cellmpname + "*) deg(4) poly(P)" + errcode=_stata(statacom,1) + if (errcode!=0) { + "Unable to successfully execute the command "+statacom + "Check whether you have given Stata enough memory" + } + P = st_matrix("P") + statacom = "reg " + cellvalname + " " + cellmpname + "1-" + cellmpname + "4 if " + cellmpname + " < " + strofreal(c) + errcode=_stata(statacom,1) + if (errcode!=0) { + "Unable to successfully execute the command "+statacom + "Check whether you have given Stata enough memory" + } + mse4 = st_numscalar("e(rmse)")^2 + betaorth4 = st_matrix("e(b)") + beta4 = betaorth4 * P + fppleft = 2*beta4[2] :+ 6*beta4[3]:*cellmpleft + 12*beta4[4]:*cellmpleft:^2 + hleft = 3.348 * ( mse4*(c-l) / sum( fppleft:^2) )^(1/5) + + //estimate 4th order polynomial right of the cutoff + P = st_matrix("P") + statacom = "reg " + cellvalname + " " + cellmpname + "1-" + cellmpname + "4 if " + cellmpname + " > " + strofreal(c) + errcode=_stata(statacom,1) + if (errcode!=0) { + "Unable to successfully execute the command "+statacom + "Check whether you have given Stata enough memory" + } + mse4 = st_numscalar("e(rmse)")^2 + betaorth4 = st_matrix("e(b)") + beta4 = betaorth4 * P + fppright = 2*beta4[2] :+ 6*beta4[3]:*cellmpright + 12*beta4[4]:*cellmpright:^2 + hright = 3.348 * ( mse4*(r-c) / sum( fppright:^2) )^(1/5) + statacom = "drop " + cellmpname + "1-" + cellmpname + "4" + errcode=_stata(statacom,1) + if (errcode!=0) { + "Unable to successfully execute the command "+statacom + "Check whether you have given Stata enough memory" + } + + //set bandwidth to average of calculations from left and right + h = 0.5*(hleft + hright) + if (verbose) printf("Using default bandwidth calculation, bandwidth = %f\n", h) + } + + //Add padding zeros to histogram (to assist smoothing) + real scalar padzeros // number of zeros to pad on each side of hist + real scalar jp // number of histogram bins including padded zeros + + padzeros = ceil(h/b) // number of zeros to pad on each side of hist + jp = j + 2*padzeros + if (padzeros >= 1) { + //add padding to histogram variables + cellval = ( J(padzeros,1,0) \ cellval \ J(padzeros,1,0) ) + cellmp = ( range(l-padzeros*b,l-b,b) \ cellmp \ range(r+b,r+padzeros*b,b) ) + //dump padded histogram variables out to stata + stcellval[|1\jp|] = cellval + stcellmp[|1\jp|] = cellmp + } + + //Generate point estimate of discontinuity + real colvector dist // distance from a given observation + real colvector w // triangle kernel weights + real matrix XX, Xy // regression matrcies for weighted regression + real rowvector xmean, ymean // means for demeaning regression vars + real colvector beta // regression estimates from weighted reg. + real colvector ehat // predicted errors from weighted reg. + real scalar fhatr, fhatl // local linear reg. estimates at discontinuity + // estimated from right and left, respectively + real scalar thetahat // discontinuity estimate + real scalar sethetahat // standard error of discontinuity estimate + + //Estimate left of discontinuity + dist = cellmp :- c // distance from potential discontinuity + w = rowmax( (J(jp,1,0), (1:-abs(dist:/h))) ):*(cellmp:=c) // triangle kernel weights for right + w = (w:/sum(w)) :* jp // normalize weights to sum to number of cells (as does stata aweights) + xmean = mean(dist, w) + ymean = mean(cellval, w) + XX = quadcrossdev(dist,xmean,w,dist,xmean) //fixed error on 11.17.2009 + Xy = quadcrossdev(dist,xmean,w,cellval,ymean) + beta = invsym(XX)*Xy + beta = beta \ ymean-xmean*beta + fhatr = beta[2,1] + + //Calculate and display discontinuity estimate + thetahat = ln(fhatr) - ln(fhatl) + sethetahat = sqrt( (1/(rn*h)) * (24/5) * ((1/fhatr) + (1/fhatl)) ) + printf("\nDiscontinuity estimate (log difference in height): %f\n", thetahat) + printf(" (%f)\n", sethetahat) + + loopover=1 //This is an advanced user switch to get rid of LLR smoothing + //Can be used to speed up simulation runs--the switch avoids smoothing at + //eval points you aren't studying + + //Perform local linear regression (LLR) smoothing + if (loopover==1) { + real scalar cellsm // smoothed histogram cell values + real colvector stcellsm // stata view for smoothed values + real colvector atstata // stata view for at variable (evaluation points) + real colvector at // points at which to evaluate LLR smoothing + real scalar evalpts // number of evaluation points + real colvector steval // stata view for LLR smothing eval points + + // if evaluating at cell midpoints + if (atname == cellmpname) { + at = cellmp[|padzeros+1\padzeros+j|] + evalpts = j + } + else { + st_view(atstata, ., atname) + evalpts = nonmissing(atstata) + at = atstata[|1\evalpts|] + } + + if (verbose) printf("Performing LLR smoothing.\n") + if (verbose) printf("%f iterations will be performed \n",j) + + cellsm = J(evalpts,1,0) // initialize smoothed histogram cell values to zero + // loop over all evaluation points + for (i = 1; i <= evalpts; i++) { + dist = cellmp :- at[i] + //set weights relative to current bin - note comma below is row join operator, not two separate args + w = rowmax( (J(jp,1,0), /// + (1:-abs(dist:/h))):*((cellmp:>=c)*(at[i]>=c):+(cellmp: c) { + m = max((-1, (c-at[i])/h)) + cellsmse[i] = ((12*cellsm[i])/(5*rn*h))* /// + (2-3*m^11-24*m^10-83*m^9-72*m^8+42*m^7+18*m^6-18*m^5+18*m^4-3*m^3+18*m^2-15*m)/ /// + (1+m^6+6*m^5-3*m^4-4*m^3+9*m^2-6*m)^2 + cellsmse[i] = sqrt(cellsmse[i]) + } + if (at[i] < c) { + m = min(((c-at[i])/h, 1)) + cellsmse[i] = ((12*cellsm[i])/(5*rn*h))* /// + (2+3*m^11-24*m^10+83*m^9-72*m^8-42*m^7+18*m^6+18*m^5+18*m^4-3*m^3+18*m^2+15*m)/ /// + (1+m^6-6*m^5-3*m^4+4*m^3+9*m^2+6*m)^2 + cellsmse[i] = sqrt(cellsmse[i]) + } + } + //set up stata variable to hold standard errors for smoothed values + (void) st_addvar("float", cellsmsename) + st_view(stcellsmse, ., cellsmsename) + stcellsmse[|1\evalpts|] = cellsmse + } + //End of loop over evaluation points + + //Fill in STATA return codes + st_rclear() + st_numscalar("r(theta)", thetahat) + st_numscalar("r(se)", sethetahat) + st_numscalar("r(binsize)", b) + st_numscalar("r(bandwidth)", h) +} +end + diff --git a/30/replication_package/Adofiles/rd_2021/rdbwdensity.ado b/30/replication_package/Adofiles/rd_2021/rdbwdensity.ado new file mode 100644 index 0000000000000000000000000000000000000000..8228bd2c69b4c4590a5e9168a9f4d9c8324697f8 --- /dev/null +++ b/30/replication_package/Adofiles/rd_2021/rdbwdensity.ado @@ -0,0 +1,342 @@ +******************************************************************************** +* RDDENSITY STATA PACKAGE -- rdbwdensity +* Authors: Matias D. Cattaneo, Michael Jansson, Xinwei Ma +******************************************************************************** +*!version 2.3 2021-02-28 + +capture program drop rdbwdensity + +program define rdbwdensity, eclass +syntax varlist(max=1) [if] [in] [, /// + C(real 0) /// + P(integer 2) /// + KERnel(string) /// + FITselect(string) /// + VCE(string) /// + noREGularize /// + NLOCalmin (integer -1) /// + NUNIquemin (integer -1) /// + noMASSpoints /// + ] + + marksample touse + + if ("`kernel'"=="") local kernel = "triangular" + local kernel = lower("`kernel'") + if ("`fitselect'"=="") local fitselect = "unrestricted" + local fitselect = lower("`fitselect'") + if ("`vce'"=="") local vce = "jackknife" + local vce = lower("`vce'") + + preserve + qui keep if `touse' + + local x "`varlist'" + + qui drop if `x'==. + + qui su `x' + local x_min = r(min) + local x_max = r(max) + local N = r(N) + + qui su `x' if `x'<`c' + local xl_min = r(min) + local xl_max = r(max) + local Nl = r(N) + + qui su `x' if `x'>=`c' + local xr_min = r(min) + local xr_max = r(max) + local Nr = r(N) + + **************************************************************************** + *** BEGIN ERROR HANDLING *************************************************** + if (`c'<=`x_min' | `c'>=`x_max'){ + di "{err}{cmd:c()} should be set within the range of `x'." + exit 125 + } + + if (`Nl'<10 | `Nr'<10){ + di "{err}Not enough observations to perform calculations." + exit 2001 + } + + if (`p'!=1 & `p'!=2 & `p'!=3 & `p'!=4 & `p'!=5 & `p'!=6 & `p'!=7){ + di "{err}{cmd:p()} should be an integer value less or equal than 7." + exit 125 + } + + if ("`kernel'"!="uniform" & "`kernel'"!="triangular" & "`kernel'"!="epanechnikov"){ + di "{err}{cmd:kernel()} incorrectly specified." + exit 7 + } + + if ("`fitselect'"!="restricted" & "`fitselect'"!="unrestricted"){ + di "{err}{cmd:fitselect()} incorrectly specified." + exit 7 + } + + if ("`vce'"!="jackknife" & "`vce'"!="plugin"){ + di "{err}{cmd:vce()} incorrectly specified." + exit 7 + } + + if ("`regularize'" == "") { + local regularize = 1 + } + else { + local regularize = 0 + } + + if ("`masspoints'" == "") { + local masspoints = 1 + } + else { + local masspoints = 0 + } + + if (`nlocalmin' < 0) { + local nlocalmin = 20 + `p' + 1 + } + + if (`nuniquemin' < 0) { + local nuniquemin = 20 + `p' + 1 + } + *** END ERROR HANDLING ***************************************************** + **************************************************************************** + + qui replace `x' = `x'-`c' + qui sort `x' + + **************************************************************************** + *** BEGIN MATA ESTIMATION ************************************************** + mata{ + *display("got here!") + X = st_data(.,("`x'"), 0); + + XUnique = rddensity_unique(X) + freqUnique = XUnique[., 2] + indexUnique = XUnique[., 4] + XUnique = XUnique[., 1] + NUnique = length(XUnique) + NlUnique = sum(XUnique :< 0) + NrUnique = sum(XUnique :>= 0) + + masspoints_flag = sum(freqUnique :!= 1) > 0 & `masspoints' + st_numscalar("masspoints_flag", masspoints_flag) + + **************************************************************************** + ** Kernel Constants + **************************************************************************** + if ("`fitselect'"=="unrestricted") { + if ("`kernel'"=="uniform") { + Bsq_p=(0.24999999999999966693,0.01000000000000004878,0.00014172335600917503246,0.00000098418997230168060921,0.0000000039855627124297920874,0.000000000010481435883708594505,0.000000000000019251413808407223054,0.000000000000000026041096146069883723) + } + else if ("`kernel'"=="triangular") { + Bsq_p=(0.15999999999999992006,0.0051020408163267062795,0.00006298815822632821272,0.00000039855626977185269366,0.0000000015093255191922687787,0.0000000000037733140674455142929,0.0000000000000066614606382066531783,0.00000000000000000871923521295076001) + } + else if ("`kernel'"=="epanechnikov") { + Bsq_p=(0.17728531855955703689,0.0059878117913833833058,0.000076742107318398123782,0.00000049855793475223530487,0.0000000019253854002580922299,0.0000000000048868584327480008077,0.0000000000000087317551910484345913,0.000000000000000011557177676615075784) + } + } + else if ("`fitselect'"=="restricted") { + if ("`kernel'"=="uniform") { + 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+ } + } + Psi=(0,-1,0,0,0,0,0,0,0,0,0,0\-1,0,0,0,0,0,0,0,0,0,0,0\0,0,1,0,0,0,0,0,0,0,0,0\0,0,0,1,0,0,0,0,0,0,0,0\0,0,0,0,-1,0,0,0,0,0,0,0\0,0,0,0,0,1,0,0,0,0,0,0\0,0,0,0,0,0,-1,0,0,0,0,0\0,0,0,0,0,0,0,1,0,0,0,0\0,0,0,0,0,0,0,0,-1,0,0,0\0,0,0,0,0,0,0,0,0,1,0,0\0,0,0,0,0,0,0,0,0,0,-1,0\0,0,0,0,0,0,0,0,0,0,0,1) + + **************************************************************************** + ** Select preliminary bandwidths. + **************************************************************************** + mu = mean(X); sd = (variance(X))^(1/2) + + fhatb = sd^(2*`p'+5) * normalden(-mu/sd) / (rddensity_h(-mu/sd,`p'+2) * normalden(-mu/sd))^2 + C_b = (25884.444444494150957,3430865.4551236177795,845007948.04262602329,330631733667.03808594,187774809656037.3125,145729502641999264,146013502974449876992) + b = ((2*`p'+1)/4 * fhatb * C_b[`p']/`N')^(1/(2*`p'+5)) + + fhatc = sd^(2*`p'+1) * normalden(-mu/sd) / (rddensity_h(-mu/sd,`p') * normalden(-mu/sd))^2 + C_c = (4.8000000000000246914,548.57142857155463389,100800.00000020420703,29558225.458100609481,12896196859.612621307,7890871468221.609375,6467911284037581) + c = (1/(2*`p') * fhatc * C_c[`p']/`N')^(1/(2*`p'+1)) + + // b is for higher-order derivative estimation + // c is for density estimation + + if (`regularize') { + + // bandwidth should not exceed the range of data + b = min( (b, max(abs(XUnique))) ) + c = min( (c, max(abs(XUnique))) ) + + // nlocalmin check + + if (`nlocalmin' > 0) { + b = max((b, sort(abs(X[selectindex(X :< 0)]), 1)[min((20+`p'+2+1, `Nl'))], (X[selectindex(X :>= 0)])[min((20+`p'+2+1, `Nr'))])) + c = max((c, sort(abs(X[selectindex(X :< 0)]), 1)[min((20+`p'+ 1, `Nl'))], (X[selectindex(X :>= 0)])[min((20+`p' +1, `Nr'))])) + } + + // nuniquemin check + if (`nuniquemin' > 0) { + b = max((b, sort(abs(XUnique[selectindex(XUnique :< 0)]), 1)[min((20+`p'+2+1, NlUnique))], (XUnique[selectindex(XUnique :>= 0)])[min((20+`p'+2+1, NrUnique))])) + c = max((c, sort(abs(XUnique[selectindex(XUnique :< 0)]), 1)[min((20+`p' +1, NlUnique))], (XUnique[selectindex(XUnique :>= 0)])[min((20+`p' +1, NrUnique))])) + } + } + + st_numscalar("BW_b", b) + st_numscalar("BW_c", c) + + **************************************************************************** + ** Estimate main bandwidths. + **************************************************************************** + Xb = select(X, -b:<=X :& X:<=b) + Nlb = sum(-b:<=X :& X:<0) + Nrb = rows(Xb) - Nlb + + Xc = select(X, -c:<=X :& X:<=c) + Nlc = sum(-c:<=X :& X:<0) + Nrc = rows(Xc) - Nlc + + Ytemp = (0..(`N'-1))' :/ (`N'-1) + if (`masspoints') { + Ytemp = rddensity_rep(Ytemp[indexUnique], freqUnique) + } + Yb = select(Ytemp, -b:<=X :& X:<=b) + Yc = select(Ytemp, -c:<=X :& X:<=c) + + h = J(4,3,0) + + fV_b = rddensity_fv(Yb, Xb, `Nl', `Nr', Nlb, Nrb, b, b, `p'+2 , `p'+1, "`kernel'", "`fitselect'", "`vce'", `masspoints') + fV_c = rddensity_fv(Yc, Xc, `Nl', `Nr', Nlc, Nrc, c, c, `p' , 1 , "`kernel'", "`fitselect'", "`vce'", `masspoints') + + + h[.,2] = `N'*c*fV_c[.,2] + + if ("`fitselect'"=="unrestricted") { + h[1,3] = fV_b[1,3] * Bsq_p[`p']^(1/2) * (-1)^`p' * factorial(`p'+1) + h[2,3] = fV_b[2,3] * Bsq_p[`p']^(1/2) * factorial(`p'+1) + } + else if ("`fitselect'"=="restricted") { + Psi = Psi[1..`p'+2,1..`p'+2]; + Gplus = Gplus[1..`p'+2,1..`p'+2]; Gminus = Psi*Gplus*Psi; + vplus = Splus[1..`p'+2,`p'+3]; vminus = Psi*vplus; + Splus = Splus[1..`p'+2,1..`p'+2]; Sminus = Psi*Splus*Psi; + S = invsym(fV_c[2,1] * Splus + fV_c[1,1] * Sminus); + B = fV_b[1,3] * S[1..2,] * (fV_c[1,1] * (-1)^(`p'+1) * vminus + fV_c[2,1] * vplus) + h[1,3] = B[1,1] + h[2,3] = B[2,1] + } + + h[3,3] = h[2,3] - h[1,3]; h[4,3] = h[2,3] + h[1,3]; h[.,3] = h[.,3]:^2; + h[.,1] = ((1/(2*`p')) * (h[.,2]:/h[.,3]) * (1/`N')):^(1/(2*`p'+1)); + + if (`regularize') { + + for (i=1; i<=4; i++) { + if (h[i, 2] < 0) { + h[i, 1] = 0 + h[i, 2] = . + } + if (h[i, 1] == .) { + h[i, 1] = 0 + } + } + + // bandwidth should not exceed the range of data + h[1,1] = min((h[1,1], abs(XUnique[1]))) + h[2,1] = min((h[2,1], XUnique[NUnique])) + h[3,1] = min((h[3,1], max((abs(XUnique[1]), XUnique[NUnique])))) + h[4,1] = min((h[4,1], max((abs(XUnique[1]), XUnique[NUnique])))) + + // nlocalmin check + if (`nlocalmin' > 0) { + hlMin = sort(abs(X[selectindex(X :< 0)]), 1)[min((`Nl', `nlocalmin'))] + hrMin = (X[selectindex(X :>= 0)])[min((`Nr', `nlocalmin'))] + h[1,1] = max((h[1,1], hlMin)) + h[2,1] = max((h[2,1], hrMin)) + h[3,1] = max((h[3,1], hlMin, hrMin)) + h[4,1] = max((h[4,1], hlMin, hrMin)) + } + + // nuniquemin check + if (`nuniquemin' > 0) { + hlMin = sort(abs(XUnique[selectindex(XUnique :< 0)]),1)[min((NlUnique, `nuniquemin'))] + hrMin = (XUnique[selectindex(XUnique :>= 0)])[min((NrUnique, `nuniquemin'))] + h[1,1] = max((h[1,1], hlMin)) + h[2,1] = max((h[2,1], hrMin)) + h[3,1] = max((h[3,1], hlMin, hrMin)) + h[4,1] = max((h[4,1], hlMin, hrMin)) + } + } + + st_matrix("h", h); + + *display("Estimation completed."); + } + *** END MATA ESTIMATION **************************************************** + **************************************************************************** + + **************************************************************************** + *** BEGIN OUTPUT TABLE ***************************************************** + if (masspoints_flag == 1) { + disp "" + disp "Point estimates and standard errors have been adjusted for repeated observations." + disp "(Use option {it:nomasspoints} to suppress this adjustment.)" + } + + disp "" + disp "Bandwidth selection for manipulation testing." + + disp "" + disp in smcl in gr "Cutoff " in ye "c = " %10.3f `c' _col(22) " {c |} " _col(23) in gr "Left of " in ye "c" _col(36) in gr "Right of " in y "c" _col(58) in gr "Number of obs = " in ye %12.0f `N' + disp in smcl in gr "{hline 22}{c +}{hline 22}" _col(58) in gr "Model = " in ye "{ralign 12:`fitselect'}" + disp in smcl in gr "{ralign 21:Number of obs}" _col(22) " {c |} " _col(23) as result %9.0f `Nl' _col(37) as result %9.0f `Nr' _col(58) in gr "Kernel = " in ye "{ralign 12:`kernel'}" + disp in smcl in gr "{ralign 21:Min Running var.}" _col(22) " {c |} " _col(23) as result %9.3f `xl_min' _col(37) as result %9.3f `xr_min' _col(58) in gr "VCE method = " in ye "{ralign 12:`vce'}" + disp in smcl in gr "{ralign 21:Max Running var.}" _col(22) " {c |} " _col(23) as result %9.3f `xl_max' _col(37) as result %9.3f `xr_max' + disp in smcl in gr "{ralign 21:Order loc. poly. (p)}" _col(22) " {c |} " _col(23) as result %9.0f `p' _col(37) as result %9.0f `p' + + disp "" + disp "Running variable: `x'." + disp in smcl in gr "{hline 22}{c TT}{hline 34}" + disp in smcl in gr "{ralign 21:Target}" _col(22) " {c |} " _col(23) in gr "Bandwidth" _col(37) " Variance" _col(49) " Bias^2" + disp in smcl in gr "{hline 22}{c +}{hline 34}" + disp in smcl in gr "{ralign 21:left density}" _col(22) " {c |} " _col(23) as result %9.3f h[1,1] _col(37) as result %9.3f h[1,2] _col(49) as result %9.3f h[1,3] + disp in smcl in gr "{ralign 21:right density}" _col(22) " {c |} " _col(23) as result %9.3f h[2,1] _col(37) as result %9.3f h[2,2] _col(49) as result %9.3f h[2,3] + disp in smcl in gr "{ralign 21:difference densities}" _col(22) " {c |} " _col(23) as result %9.3f h[3,1] _col(37) as result %9.3f h[3,2] _col(49) as result %9.3f h[3,3] + disp in smcl in gr "{ralign 21:sum densities}" _col(22) " {c |} " _col(23) as result %9.3f h[4,1] _col(37) as result %9.3f h[4,2] _col(49) as result %9.3f h[4,3] + disp in smcl in gr "{hline 22}{c BT}{hline 34}" + disp "" + *** END OUTPUT TABLE ******************************************************* + **************************************************************************** + + restore + + ereturn clear + ereturn scalar c = `c' + ereturn scalar p = `p' + ereturn scalar N_l = `Nl' + ereturn scalar N_r = `Nr' + mat rown h = f_left f_right f_diff f_sum + mat coln h = bandwidth var bias2 + ereturn matrix h = h + ereturn scalar BW_b = BW_b + ereturn scalar BW_c = BW_c + + ereturn local runningvar "`x'" + ereturn local kernel = "`kernel'" + ereturn local fitmethod = "`fitselect'" + ereturn local vce = "`vce'" + + mata: mata clear + +end + diff --git a/30/replication_package/Adofiles/rd_2021/rdbwdensity.sthlp b/30/replication_package/Adofiles/rd_2021/rdbwdensity.sthlp new file mode 100644 index 0000000000000000000000000000000000000000..958b792629981c24db13ad549332534209f542c9 --- /dev/null +++ b/30/replication_package/Adofiles/rd_2021/rdbwdensity.sthlp @@ -0,0 +1,147 @@ +{smcl} +{* *!version 2.3 2021-02-28}{...} +{viewerjumpto "Syntax" "rdrobust##syntax"}{...} +{viewerjumpto "Description" "rdrobust##description"}{...} +{viewerjumpto "Options" "rdrobust##options"}{...} +{viewerjumpto "Examples" "rdrobust##examples"}{...} +{viewerjumpto "Saved results" "rdrobust##saved_results"}{...} + +{title:Title} + +{p 4 8}{cmd:rdbwdensity} {hline 2} Bandwidth Selection for Manipulation Testing Using Local Polynomial Density Estimation.{p_end} + +{marker syntax}{...} +{title:Syntax} + +{p 4 8}{cmd:rdbwdensity} {it:Var} {ifin} +[{cmd:,} {p_end} +{p 16 20} +{cmd:c(}{it:#}{cmd:)} +{cmd:p(}{it:#}{cmd:)} +{cmd:kernel(}{it:KernelFn}{cmd:)} +{cmd:fitselect(}{it:FitMethod}{cmd:)} +{cmd:vce(}{it:VceMethod}{cmd:)} +{cmd:nomasspoints}{p_end} +{p 16 20} +{cmd:nlocalmin(}{it:#}{cmd:)} +{cmd:nuniquemin(}{it:#}{cmd:)} +{cmd:noregularize}{p_end} +{p 16 20}]{p_end} + +{marker description}{...} +{title:Description} + +{p 4 8}{cmd:rdbwdensity} implements several data-driven bandwidth selection methods useful to construct manipulation testing procedures using the local polynomial density estimators proposed in +{browse "https://rdpackages.github.io/references/Cattaneo-Jansson-Ma_2020_JASA.pdf":Cattaneo, Jansson and Ma (2020)}.{p_end} + +{p 4 8}A detailed introduction to this Stata command is given in {browse "https://rdpackages.github.io/references/Cattaneo-Jansson-Ma_2018_Stata.pdf":Cattaneo, Jansson and Ma (2018)}.{p_end} +{p 8 8}Companion {browse "www.r-project.org":R} functions are also available {browse "https://rdpackages.github.io/rddensity":here}.{p_end} + +{p 4 8}Companion function is {help rddensity:rddensity}. +See also the +{browse "https://nppackages.github.io/lpdensity":lpdensity} +package for other related bandwidth selection methods.{p_end} + +{p 4 8}Related Stata and R packages useful for inference in regression discontinuity (RD) designs are described in the following website:{p_end} + +{p 8 8}{browse "https://rdpackages.github.io/":https://rdpackages.github.io/}{p_end} + +{marker options}{...} +{title:Options} + +{dlgtab:Bandwidth Selection} + +{p 4 8}{opt c:}{cmd:(}{it:#}{cmd:)} specifies the threshold or cutoff value in the support of {it:Var}, which determines the two samples (e.g., control and treatment units in RD settings). +Default is {cmd:c(0)}.{p_end} + +{p 4 8}{opt p:}{cmd:(}{it:#}{cmd:)} specifies the local polynomial order used to construct the density estimators. +Default is {cmd:p(2)} (local quadratic approximation).{p_end} + +{p 4 8}{opt fit:select}{cmd:(}{it:FitMethod}{cmd:)} specifies the density estimation method.{p_end} +{p 8 12}{opt unrestricted}{bind:} for density estimation without any restrictions (two-sample, unrestricted inference). +This is the default option.{p_end} +{p 8 12}{opt restricted}{bind:} for density estimation assuming equal distribution function and higher-order derivatives.{p_end} + +{p 4 8}{opt ker:nel}{cmd:(}{it:KernelFn}{cmd:)} specifies the kernel function used to construct the local polynomial estimators.{p_end} +{p 8 12}{opt triangular}{bind: } {it:K(u) = (1 - |u|) * (|u|<=1)}. +This is the default option.{p_end} +{p 8 12}{opt epanechnikov}{bind:} {it:K(u) = 0.75 * (1 - u^2) * (|u|<=1)}.{p_end} +{p 8 12}{opt uniform}{bind: } {it:K(u) = 0.5 * (|u|<=1)}.{p_end} + +{p 4 8}{opt vce:}{cmd:(}{it:VceMethod}{cmd:)} specifies the procedure used to compute the variance-covariance matrix estimator.{p_end} +{p 8 12}{opt plugin}{bind: } for asymptotic plug-in standard errors.{p_end} +{p 8 12}{opt jackknife}{bind:} for jackknife standard errors. +This is the default option.{p_end} + +{p 4 8}{opt nomass:points} will not adjust for mass points in the data.{p_end} + +{dlgtab:Local Sample Size Checking} + +{p 4 8}{opt nloc:almin}{cmd:(}{it:#}{cmd:)} specifies the minimum number of observations in each local neighborhood. +This option will be ignored if set to 0, or if {cmd:noregularize} is used. +The default value is {cmd:20+p(}{it:#}{cmd:)+1}.{p_end} + +{p 4 8}{opt nuni:quemin}{cmd:(}{it:#}{cmd:)} specifies the minimum number of unique observations in each local neighborhood. +This option will be ignored if set to 0, or if {cmd:noregularize} is used. +The default value is {cmd:20+p(}{it:#}{cmd:)+1}.{p_end} + +{p 4 8}{opt noreg:ularize} suppresses the local sample size checking feature.{p_end} + + +{marker examples}{...} +{title:Example: Cattaneo, Frandsen and Titiunik (2015) Incumbency Data}. + +{p 4 8}Load dataset (cutoff is 0 in this dataset):{p_end} +{p 8 8}{cmd:. use rddensity_senate.dta}{p_end} + +{p 4 8}Bandwidth selection for manipulation test using default options: {p_end} +{p 8 8}{cmd:. rdbwdensity margin}{p_end} + +{p 4 8}Bandwidth selection for manipulation test using plug-in standard errors:{p_end} +{p 8 8}{cmd:. rdbwdensity margin, vce(plugin)}{p_end} + + +{marker saved_results}{...} +{title:Saved results} + +{p 4 8}{cmd:rddensity} saves the following in {cmd:e()}: + +{synoptset 20 tabbed}{...} +{p2col 5 20 24 2: Macros}{p_end} +{synopt:{cmd:e(c)}}cutoff value{p_end} +{synopt:{cmd:e(p)}}order of the polynomial used for density estimation{p_end} +{synopt:{cmd:e(N_l)}}sample size to the left of the cutoff{p_end} +{synopt:{cmd:e(N_r)}}sample size to the right of the cutoff{p_end} +{synopt:{cmd:e(h)}}matrix of estimated bandwidth (including underlying estimated constants){p_end} +{synopt:{cmd:e(runningvar)}}running variable used{p_end} +{synopt:{cmd:e(kernel)}}kernel used{p_end} +{synopt:{cmd:e(fitmethod)}}model used{p_end} +{synopt:{cmd:e(vce)}}standard errors estimator used{p_end} + + +{title:References} + +{p 4 8}Cattaneo, M. D., B. Frandsen, and R. Titiunik. 2015. +{browse "https://rdpackages.github.io/references/Cattaneo-Frandsen-Titiunik_2015_JCI.pdf":Randomization Inference in the Regression Discontinuity Design: An Application to the Study of Party Advantages in the U.S. Senate}.{p_end} +{p 8 8}{it:Journal of Causal Inference} 3(1): 1-24.{p_end} + +{p 4 8}Cattaneo, M. D., M. Jansson, and X. Ma. 2018. +{browse "https://rdpackages.github.io/references/Cattaneo-Jansson-Ma_2018_Stata.pdf": Manipulation Testing based on Density Discontinuity}.{p_end} +{p 8 8}{it:Stata Journal} 18(1): 234-261.{p_end} + +{p 4 8}Cattaneo, M. D., M. Jansson, and X. Ma. 2020. +{browse "https://rdpackages.github.io/references/Cattaneo-Jansson-Ma_2020_JASA.pdf":Simple Local Polynomial Density Estimators}.{p_end} +{p 8 8}{it:Journal of the American Statistical Association} 115(531): 1449-1455.{p_end} + +{title:Authors} + +{p 4 8}Matias D. Cattaneo, Princeton University, Princeton, NJ. +{browse "mailto:cattaneo@princeton.edu":cattaneo@princeton.edu}.{p_end} + +{p 4 8}Michael Jansson, University of California Berkeley, Berkeley, CA. +{browse "mailto:mjansson@econ.berkeley.edu":mjansson@econ.berkeley.edu}.{p_end} + +{p 4 8}Xinwei Ma, University of California San Diego, La Jolla, CA. +{browse "mailto:x1ma@ucsd.edu":x1ma@ucsd.edu}.{p_end} + + diff --git a/30/replication_package/Adofiles/rd_2021/rdbwselect.ado b/30/replication_package/Adofiles/rd_2021/rdbwselect.ado new file mode 100644 index 0000000000000000000000000000000000000000..f26d680f84b8e8645aeb951658faa50e11f96b55 --- /dev/null +++ b/30/replication_package/Adofiles/rd_2021/rdbwselect.ado @@ -0,0 +1,679 @@ +*!version 8.1.0 2021-02-22 + +capture program drop rdbwselect +program define rdbwselect, eclass + syntax anything [if] [in] [, c(real 0) fuzzy(string) deriv(real 0) p(real 1) q(real 0) covs(string) covs_drop(string) kernel(string) weights(string) bwselect(string) vce(string) scaleregul(real 1) all nochecks masspoints(string) bwcheck(real 0) bwrestrict(string) stdvars(string)] + + marksample touse + preserve + qui keep if `touse' + tokenize "`anything'" + local y `1' + local x `2' + local kernel = lower("`kernel'") + local bwselect = lower("`bwselect'") + + ******************** Set VCE *************************** + local nnmatch = 3 + tokenize `vce' + local w : word count `vce' + if `w' == 1 { + local vce_select `"`1'"' + } + if `w' == 2 { + local vce_select `"`1'"' + if ("`vce_select'"=="nn") local nnmatch `"`2'"' + if ("`vce_select'"=="cluster" | "`vce_select'"=="nncluster") local clustvar `"`2'"' + } + if `w' == 3 { + local vce_select `"`1'"' + local clustvar `"`2'"' + local nnmatch `"`3'"' + if ("`vce_select'"!="cluster" & "`vce_select'"!="nncluster") di as error "{err}{cmd:vce()} incorrectly specified" + } + if `w' > 3 { + di as error "{err}{cmd:vce()} incorrectly specified" + exit 125 + } + + local vce_type = "NN" + if ("`vce_select'"=="hc0") local vce_type = "HC0" + if ("`vce_select'"=="hc1") local vce_type = "HC1" + if ("`vce_select'"=="hc2") local vce_type = "HC2" + if ("`vce_select'"=="hc3") local vce_type = "HC3" + if ("`vce_select'"=="cluster") local vce_type = "Cluster" + if ("`vce_select'"=="nncluster") local vce_type = "NNcluster" + + if ("`vce_select'"=="cluster" | "`vce_select'"=="nncluster") local cluster = "cluster" + if ("`vce_select'"=="cluster") local vce_select = "hc0" + if ("`vce_select'"=="nncluster") local vce_select = "nn" + if ("`vce_select'"=="") local vce_select = "nn" + + ******************** Set Fuzzy*************************** + tokenize `fuzzy' + local w : word count `fuzzy' + if `w' == 1 { + local fuzzyvar `"`1'"' + } + if `w' == 2 { + local fuzzyvar `"`1'"' + local sharpbw `"`2'"' + if `"`2'"' != "sharpbw" { + di as error "{err}fuzzy() only accepts sharpbw as a second input" + exit 125 + } + } + if `w' >= 3 { + di as error "{err}{cmd:fuzzy()} only accepts two inputs" + exit 125 + } + ************************************************************ + + **** DROP MISSINGS ****************************************** + qui drop if `y'==. | `x'==. + if ("`cluster'"!="") qui drop if `clustvar'==. + if ("`fuzzy'"~="") { + qui drop if `fuzzyvar'==. + qui su `fuzzyvar' + *qui replace `fuzzyvar' = `fuzzyvar'/r(sd) + } + + if ("`covs'"~="") { + qui ds `covs', alpha + local covs_list = r(varlist) + local ncovs: word count `covs_list' + foreach z in `covs_list' { + qui drop if `z'==. + } + } + + + **** CHECK colinearity ****************************************** + local covs_drop_coll = 0 + if ("`covs_drop'"=="") local covs_drop = "pinv" + if ("`covs'"~="") { + + if ("`covs_drop'"=="invsym") local covs_drop_coll = 1 + if ("`covs_drop'"=="pinv") local covs_drop_coll = 2 + + qui _rmcoll `covs_list' + local nocoll_controls_cat `r(varlist)' + local nocoll_controls "" + foreach myString of local nocoll_controls_cat { + if ~strpos("`myString'", "o."){ + if ~strpos("`myString'", "MYRUNVAR"){ + local nocoll_controls "`nocoll_controls' `myString'" + } + } + } + local covs_new `nocoll_controls' + qui ds `covs_new', alpha + local covs_list_new = r(varlist) + local ncovs_new: word count `covs_list_new' + + if (`ncovs_new'<`ncovs') { + if ("`covs_drop'"=="off") { + di as error "{err}Multicollinearity issue detected in {cmd:covs}. Please rescale and/or remove redundant covariates, or add {cmd:covs_drop} option." + exit 125 + } + else { + local ncovs = "`ncovs_new'" + local covs_list = "`covs_list_new'" + *local covs_drop_coll = 1 + } + } + } + + + + + + **** DEFAULTS *************************************** + if ("`masspoints'"=="") local masspoints = "adjust" + if ("`stdvars'"=="") local stdvars = "off" + if ("`bwrestrict'"=="") local bwrestrict = "on" + ***************************************************************** + + qui su `x', d + local x_min = r(min) + local x_max = r(max) + local N = r(N) + local x_iq = r(p75)-r(p25) + local x_sd = r(sd) + + if ("`deriv'">"0" & "`p'"=="1" & "`q'"=="0") local p = (`deriv'+1) + if ("`q'"=="0") local q = (`p'+1) + + **************************** BEGIN ERROR CHECKING ************************************************ + if ("`nochecks'"=="") { + + if (`c'<=`x_min' | `c'>=`x_max'){ + di as error "{err}{cmd:c()} should be set within the range of `x'" + exit 125 + } + + if (`N'<20){ + di as error "{err}Not enough observations to perform bandwidth calculations" + exit 2001 + } + + if ("`kernel'"~="uni" & "`kernel'"~="uniform" & "`kernel'"~="tri" & "`kernel'"~="triangular" & "`kernel'"~="epa" & "`kernel'"~="epanechnikov" & "`kernel'"~="" ){ + di as error "{err}{cmd:kernel()} incorrectly specified" + exit 7 + } + + if ("`bwselect'"=="CCT" | "`bwselect'"=="IK" | "`bwselect'"=="CV" |"`bwselect'"=="cct" | "`bwselect'"=="ik" | "`bwselect'"=="cv"){ + di as error "{err}{cmd:bwselect()} options IK, CCT and CV have been depricated. Please see help for new options" + exit 7 + } + + if ("`bwselect'"!="mserd" & "`bwselect'"!="msetwo" & "`bwselect'"!="msesum" & "`bwselect'"!="msecomb1" & "`bwselect'"!="msecomb2" & "`bwselect'"!="cerrd" & "`bwselect'"!="certwo" & "`bwselect'"!="cersum" & "`bwselect'"!="cercomb1" & "`bwselect'"!="cercomb2" & "`bwselect'"~=""){ + di as error "{err}{cmd:bwselect()} incorrectly specified" + exit 7 + } + + if ("`vce_select'"~="nn" & "`vce_select'"~="" & "`vce_select'"~="cluster" & "`vce_select'"~="nncluster" & "`vce_select'"~="hc1" & "`vce_select'"~="hc2" & "`vce_select'"~="hc3" & "`vce_select'"~="hc0"){ + di as error "{err}{cmd:vce()} incorrectly specified" + exit 7 + } + + if ("`p'"<"0" | "`q'"<="0" | "`deriv'"<"0" | "`nnmatch'"<="0" ){ + di as error "{err}{cmd:p()}, {cmd:q()}, {cmd:deriv()}, {cmd:nnmatch()} imson should be positive" + exit 411 + } + + if ("`p'">="`q'" & "`q'">"0"){ + di as error "{err}{cmd:q()} should be higher than {cmd:p()}" + exit 125 + } + + if ("`deriv'">"`p'" & "`deriv'">"0" ){ + di as error "{err}{cmd:deriv()} can not be higher than {cmd:p()}" + exit 125 + } + + if ("`p'">"0" ) { + local p_round = round(`p')/`p' + local q_round = round(`q')/`q' + local d_round = round(`deriv'+1)/(`deriv'+1) + local m_round = round(`nnmatch')/`nnmatch' + + if (`p_round'!=1 | `q_round'!=1 |`d_round'!=1 |`m_round'!=1 ){ + di as error "{err}{cmd:p()}, {cmd:q()}, {cmd:deriv()} and {cmd:nnmatch()} should be integers" + exit 126 + } + } + } + + if ("`kernel'"=="epanechnikov" | "`kernel'"=="epa") { + local kernel_type = "Epanechnikov" + local C_c = 2.34 + } + else if ("`kernel'"=="uniform" | "`kernel'"=="uni") { + local kernel_type = "Uniform" + local C_c = 1.843 + } + else { + local kernel_type = "Triangular" + local C_c = 2.576 + } + + if ("`vce_select'"=="nn" | "`masspoints'"=="check" | "`masspoints'"=="adjust") { + sort `x', stable + if ("`vce_select'"=="nn") { + tempvar dups dupsid + by `x': gen dups = _N + by `x': gen dupsid = _n + } + } + + + mata{ + c = `c' + p = `p' + q = `q' + covs_drop_coll = `covs_drop_coll' + nnmatch = strtoreal("`nnmatch'") + + Y = st_data(.,("`y'"), 0); X = st_data(.,("`x'"), 0) + + BWp = min((`x_sd',`x_iq'/1.349)) + x_sd = y_sd = 1 + if ("`stdvars'"=="on") { + y_sd = sqrt(variance(Y)) + x_sd = sqrt(variance(X)) + Y = Y/y_sd + X = X/x_sd + c = c/x_sd + BWp = min((1, (`x_iq'/x_sd)/1.349)) + } + + ind_r = X:>=c + ind_l = abs(1:-ind_r) + + X_l = select(X,ind_l); X_r = select(X,ind_r) + Y_l = select(Y,ind_l); Y_r = select(Y,ind_r) + + N = length(X); N_l = length(X_l); N_r = length(X_r) + + x_l_min = min(X_l); x_l_max = max(X_l) + x_r_min = min(X_r); x_r_max = max(X_r) + + range_l = c - x_l_min + range_r = x_r_max - c + + dZ=Z_l=Z_r=T_l=T_r=Cind_l=Cind_r=g_l=g_r=dups_l=dups_r=dupsid_l=dupsid_r=0 + + if ("`vce_select'"=="nn") { + dups = st_data(.,("dups"), 0); dupsid = st_data(.,("dupsid"), 0) + dups_l = select(dups,ind_l); dups_r = select(dups,ind_r) + dupsid_l = select(dupsid,ind_l); dupsid_r = select(dupsid,ind_r) + } + + if ("`covs'"~="") { + Z = st_data(.,tokens("`covs_list'"), 0) + dZ = cols(Z) + Z_l = select(Z,ind_l); Z_r = select(Z,ind_r) + } + + if ("`fuzzy'"~="") { + T = st_data(.,("`fuzzyvar'"), 0) + T_l = select(T,ind_l); T_r = select(T,ind_r) + if (variance(T_l)==0 | variance(T_r)==0){ + T_l = T_r =0 + st_local("perf_comp","perf_comp") + } + if ("`sharpbw'"!=""){ + T_l = T_r =0 + st_local("sharpbw","sharpbw") + } + } + + C_l=C_r=0 + if ("`cluster'"!="") { + C = st_data(.,("`clustvar'"), 0) + C_l = select(C,ind_l); C_r = select(C,ind_r) + indC_l = order(C_l,1); indC_r = order(C_r,1) + g_l = rows(panelsetup(C_l[indC_l],1)); g_r = rows(panelsetup(C_r[indC_r],1)) + st_numscalar("g_l", g_l); st_numscalar("g_r", g_r) + } + + fw_l = fw_r = 0 + if ("`weights'"~="") { + fw = st_data(.,("`weights'"), 0) + fw_l = select(fw,ind_l); fw_r = select(fw,ind_r) + } + + mN = N + bwcheck = `bwcheck' + masspoints_found = 0 + if ("`masspoints'"=="check" | "`masspoints'"=="adjust") { + X_uniq_l = sort(uniqrows(X_l),-1) + X_uniq_r = uniqrows(X_r) + M_l = length(X_uniq_l) + M_r = length(X_uniq_r) + M = M_l + M_r + st_numscalar("M_l", M_l); st_numscalar("M_r", M_r) + mass_l = 1-M_l/N_l + mass_r = 1-M_r/N_r + if (mass_l>=0.1 | mass_r>=0.1){ + masspoints_found = 1 + display("{err}Mass points detected in the running variable.") + if ("`masspoints'"=="adjust" & "`bwcheck'"=="0") bwcheck = 10 + if ("`masspoints'"=="check") display("{err}Try using option {cmd:masspoints(adjust)}") + } + } + + *if ("`masspoints'"=="adjust") mN = M + + + *********************************************************************** + ******** Computing bandwidth selector ********************************* + *********************************************************************** + c_bw = `C_c'*BWp*mN^(-1/5) + if ("`masspoints'"=="adjust") c_bw = `C_c'*BWp*M^(-1/5) + + if ("`bwrestrict'"=="on") { + bw_max = max((range_l,range_r)) + c_bw = min((c_bw, bw_max)) + } + + if (bwcheck > 0) { + bwcheck_l = min((bwcheck, M_l)) + bwcheck_r = min((bwcheck, M_r)) + bw_min_l = abs(X_uniq_l:-c)[bwcheck_l] + 1e-8 + bw_min_r = abs(X_uniq_r:-c)[bwcheck_r] + 1e-8 + c_bw = max((c_bw, bw_min_l, bw_min_r)) + } + + c_bw_l = c_bw_r = c_bw + + + *** Step 1: d_bw + C_d_l = rdrobust_bw(Y_l, X_l, T_l, Z_l, C_l, fw_l, c=c, o=q+1, nu=q+1, o_B=q+2, h_V=c_bw_l, h_B=range_l+1e-8, 0, "`vce_select'", nnmatch, "`kernel'", dups_l, dupsid_l, covs_drop_coll) + C_d_r = rdrobust_bw(Y_r, X_r, T_r, Z_r, C_r, fw_r, c=c, o=q+1, nu=q+1, o_B=q+2, h_V=c_bw_r, h_B=range_r+1e-8, 0, "`vce_select'", nnmatch, "`kernel'", dups_r, dupsid_r, covs_drop_coll) + + *printf("i=%g\n ",C_d_l[5]) + *printf("i=%g\n ",C_d_r[5]) + + + if (C_d_l[1]==. | C_d_l[2]==. | C_d_l[3]==. |C_d_r[1]==. | C_d_r[2]==. | C_d_r[3]==.) printf("{err}Invertibility problem in the computation of preliminary bandwidth. Try checking for mass points with option {cmd:masspoints(check)}.\n") + if (C_d_l[1]==0 | C_d_l[2]==0 | C_d_r[1]==0 | C_d_r[2]==0) printf("{err}Not enough variability to compute the preliminary bandwidth. Try checking for mass points with option {cmd:masspoints(check)}.\n") + + + + *** TWO + if ("`bwselect'"=="msetwo" | "`bwselect'"=="certwo" | "`bwselect'"=="msecomb2" | "`bwselect'"=="cercomb2" | "`all'"!="") { + d_bw_l = ( (C_d_l[1] / C_d_l[2]^2) * (N/mN) )^C_d_l[4] + d_bw_r = ( (C_d_r[1] / C_d_r[2]^2) * (N/mN) )^C_d_l[4] + if ("`bwrestrict'"=="on") { + d_bw_l = min((d_bw_l, range_l)) + d_bw_r = min((d_bw_r, range_r)) + } + if (bwcheck > 0) { + d_bw_l = max((d_bw_l, bw_min_l)) + d_bw_r = max((d_bw_r, bw_min_r)) + } + C_b_l = rdrobust_bw(Y_l, X_l, T_l, Z_l, C_l, fw_l, c=c, o=q, nu=p+1, o_B=q+1, h_V=c_bw_l, h_B=d_bw_l, `scaleregul', "`vce_select'", nnmatch, "`kernel'", dups_l, dupsid_l, covs_drop_coll) + b_bw_l = ( (C_b_l[1] / (C_b_l[2]^2 + `scaleregul'*C_b_l[3])) * (N/mN) )^C_b_l[4] + C_b_r = rdrobust_bw(Y_r, X_r, T_r, Z_r, C_r, fw_r, c=c, o=q, nu=p+1, o_B=q+1, h_V=c_bw_r, h_B=d_bw_r, `scaleregul', "`vce_select'", nnmatch, "`kernel'", dups_r, dupsid_r, covs_drop_coll) + b_bw_r = ( (C_b_r[1] / (C_b_r[2]^2 + `scaleregul'*C_b_r[3])) * (N/mN) )^C_b_l[4] + if ("`bwrestrict'"=="on") { + b_bw_l = min((b_bw_l, range_l)) + b_bw_r = min((b_bw_r, range_r)) + } + *if ("`bwcheck'" != "0") { + * b_bw_l = max((b_bw_l, bw_min_l)) + * b_bw_r = max((b_bw_r, bw_min_r)) + *} + C_h_l = rdrobust_bw(Y_l, X_l, T_l, Z_l, C_l, fw_l, c=c, o=p, nu=`deriv', o_B=q, h_V=c_bw_l, h_B=b_bw_l, `scaleregul', "`vce_select'", nnmatch, "`kernel'", dups_l, dupsid_l, covs_drop_coll) + h_bw_l = ( (C_h_l[1] / (C_h_l[2]^2 + `scaleregul'*C_h_l[3])) * (N/mN) )^C_h_l[4] + C_h_r = rdrobust_bw(Y_r, X_r, T_r, Z_r, C_r, fw_r, c=c, o=p, nu=`deriv', o_B=q, h_V=c_bw_r, h_B=b_bw_r, `scaleregul', "`vce_select'", nnmatch, "`kernel'", dups_r, dupsid_r, covs_drop_coll) + h_bw_r = ( (C_h_r[1] / (C_h_r[2]^2 + `scaleregul'*C_h_r[3])) * (N/mN) )^C_h_l[4] + + if ("`bwrestrict'"=="on") { + h_bw_l = min((h_bw_l, range_l)) + h_bw_r = min((h_bw_r, range_r)) + } + *if ("`bwcheck'" != "0") { + * h_bw_l = max((h_bw_l, bw_min_l)) + * h_bw_r = max((h_bw_r, bw_min_r)) + *} + } + + *** SUM + if ("`bwselect'"=="msesum" | "`bwselect'"=="cersum" | "`bwselect'"=="msecomb1" | "`bwselect'"=="msecomb2" | "`bwselect'"=="cercomb1" | "`bwselect'"=="cercomb2" | "`all'"!="") { + d_bw_s = ( ((C_d_l[1] + C_d_r[1]) / (C_d_r[2] + C_d_l[2])^2) * (N/mN) )^C_d_l[4] + if ("`bwrestrict'"=="on") d_bw_s = min((d_bw_s, bw_max)) + if (bwcheck > 0) d_bw_s = max((d_bw_s, bw_min_l, bw_min_r)) + C_b_l = rdrobust_bw(Y_l, X_l, T_l, Z_l, C_l, fw_l, c=c, o=q, nu=p+1, o_B=q+1, h_V=c_bw_l, h_B=d_bw_s, `scaleregul', "`vce_select'", nnmatch, "`kernel'", dups_l, dupsid_l, covs_drop_coll) + C_b_r = rdrobust_bw(Y_r, X_r, T_r, Z_r, C_r, fw_r, c=c, o=q, nu=p+1, o_B=q+1, h_V=c_bw_r, h_B=d_bw_s, `scaleregul', "`vce_select'", nnmatch, "`kernel'", dups_r, dupsid_r, covs_drop_coll) + b_bw_s = ( ((C_b_l[1] + C_b_r[1]) / ((C_b_r[2] + C_b_l[2])^2 + `scaleregul'*(C_b_r[3]+C_b_l[3]))) * (N/mN) )^C_b_l[4] + if ("`bwrestrict'"=="on") b_bw_s = min((b_bw_s, bw_max)) + *if ("`bwcheck'" != "0") b_bw_s = max((b_bw_s, bw_min_l, bw_min_r)) + C_h_l = rdrobust_bw(Y_l, X_l, T_l, Z_l, C_l, fw_l, c=c, o=p, nu=`deriv', o_B=q, h_V=c_bw_l, h_B=b_bw_s, `scaleregul', "`vce_select'", nnmatch, "`kernel'", dups_l, dupsid_l, covs_drop_coll) + C_h_r = rdrobust_bw(Y_r, X_r, T_r, Z_r, C_r, fw_r, c=c, o=p, nu=`deriv', o_B=q, h_V=c_bw_r, h_B=b_bw_s, `scaleregul', "`vce_select'", nnmatch, "`kernel'", dups_r, dupsid_r, covs_drop_coll) + h_bw_s = ( ((C_h_l[1] + C_h_r[1]) / ((C_h_r[2] + C_h_l[2])^2 + `scaleregul'*(C_h_r[3] + C_h_l[3]))) * (N/mN) )^C_h_l[4] + if ("`bwrestrict'"=="on") h_bw_s = min((h_bw_s, bw_max)) + *if ("`bwcheck'" != "0") h_bw_s = max((h_bw_s, bw_min_l, bw_min_r)) + } + + *** RD + if ("`bwselect'"=="mserd" | "`bwselect'"=="cerrd" | "`bwselect'"=="msecomb1" | "`bwselect'"=="msecomb2" | "`bwselect'"=="cercomb1" | "`bwselect'"=="cercomb2" | "`bwselect'"=="" | "`all'"!="" ) { + d_bw_d = ( ((C_d_l[1] + C_d_r[1]) / (C_d_r[2] - C_d_l[2])^2) * (N/mN) )^C_d_l[4] + if ("`bwrestrict'"=="on") d_bw_d = min((d_bw_d, bw_max)) + if (bwcheck > 0) d_bw_d = max((d_bw_d, bw_min_l, bw_min_r)) + C_b_l = rdrobust_bw(Y_l, X_l, T_l, Z_l, C_l, fw_l, c=c, o=q, nu=p+1, o_B=q+1, h_V=c_bw_l, h_B=d_bw_d, `scaleregul', "`vce_select'", nnmatch, "`kernel'", dups_l, dupsid_l, covs_drop_coll) + C_b_r = rdrobust_bw(Y_r, X_r, T_r, Z_r, C_r, fw_r, c=c, o=q, nu=p+1, o_B=q+1, h_V=c_bw_r, h_B=d_bw_d, `scaleregul', "`vce_select'", nnmatch, "`kernel'", dups_r, dupsid_r, covs_drop_coll) + b_bw_d = ( ((C_b_l[1] + C_b_r[1]) / ((C_b_r[2] - C_b_l[2])^2 + `scaleregul'*(C_b_r[3] + C_b_l[3]))) * (N/mN) )^C_b_l[4] + if ("`bwrestrict'"=="on") b_bw_d = min((b_bw_d, bw_max)) + *if ("`bwcheck'" != "0") b_bw_d = max((b_bw_d, bw_min_l, bw_min_r)) + C_h_l = rdrobust_bw(Y_l, X_l, T_l, Z_l, C_l, fw_l, c=c, o=p, nu=`deriv', o_B=q, h_V=c_bw_l, h_B=b_bw_d, `scaleregul', "`vce_select'", nnmatch, "`kernel'", dups_l, dupsid_l, covs_drop_coll) + C_h_r = rdrobust_bw(Y_r, X_r, T_r, Z_r, C_r, fw_r, c=c, o=p, nu=`deriv', o_B=q, h_V=c_bw_r, h_B=b_bw_d, `scaleregul', "`vce_select'", nnmatch, "`kernel'", dups_r, dupsid_r, covs_drop_coll) + h_bw_d = ( ((C_h_l[1] + C_h_r[1]) / ((C_h_r[2] - C_h_l[2])^2 + `scaleregul'*(C_h_r[3] + C_h_l[3]))) * (N/mN) )^C_h_l[4] + if ("`bwrestrict'"=="on") h_bw_d = min((h_bw_d, bw_max)) + + *if ("`bwcheck'" != "0") h_bw_d = max((h_bw_d, bw_min_l, bw_min_r)) + } + + + + if (C_b_l[1]==0 | C_b_l[2]==0 | C_b_r[1]==0 | C_b_r[2]==0 |C_b_l[1]==. | C_b_l[2]==. | C_b_l[3]==. | C_b_r[1]==. | C_b_r[2]==. | C_b_r[3]==.) printf("{err}Not enough variability to compute the bias bandwidth (b). Try checking for mass points with option {cmd:masspoints(check)}. \n") + if (C_h_l[1]==0 | C_h_l[2]==0 | C_h_r[1]==0 | C_h_r[2]==0 |C_h_l[1]==. | C_h_l[2]==. | C_h_l[3]==. | C_h_r[1]==. | C_h_r[2]==. | C_h_r[3]==.) printf("{err}Not enough variability to compute the loc. poly. bandwidth (h). Try checking for mass points with option {cmd:masspoints(check)}.\n") + + st_numscalar("N", N) + st_numscalar("N_l", N_l) + st_numscalar("N_r", N_r) + st_numscalar("x_l_min", x_sd*x_l_min) + st_numscalar("x_l_max", x_sd*x_l_max) + st_numscalar("x_r_min", x_sd*x_r_min) + st_numscalar("x_r_max", x_sd*x_r_max) + st_numscalar("masspoints_found", masspoints_found) + + if ("`bwselect'"=="mserd" | "`bwselect'"=="cerrd" | "`bwselect'"=="msecomb1" | "`bwselect'"=="msecomb2" | "`bwselect'"=="cercomb1" | "`bwselect'"=="cercomb2" | "`bwselect'"=="" | "`all'"!="" ) { + h_mserd = x_sd*h_bw_d + b_mserd = x_sd*b_bw_d + st_numscalar("h_mserd", h_mserd); st_numscalar("b_mserd", b_mserd) + } + if ("`bwselect'"=="msesum" | "`bwselect'"=="cersum" | "`bwselect'"=="msecomb1" | "`bwselect'"=="msecomb2" | "`bwselect'"=="cercomb1" | "`bwselect'"=="cercomb2" | "`all'"!="") { + h_msesum = x_sd*h_bw_s + b_msesum = x_sd*b_bw_s + st_numscalar("h_msesum", h_msesum); st_numscalar("b_msesum", b_msesum) + } + if ("`bwselect'"=="msetwo" | "`bwselect'"=="certwo" | "`bwselect'"=="msecomb2" | "`bwselect'"=="cercomb2" | "`all'"!="") { + h_msetwo_l = x_sd*h_bw_l + h_msetwo_r = x_sd*h_bw_r + b_msetwo_l = x_sd*b_bw_l + b_msetwo_r = x_sd*b_bw_r + st_numscalar("h_msetwo_l", h_msetwo_l); st_numscalar("h_msetwo_r", h_msetwo_r) + st_numscalar("b_msetwo_l", b_msetwo_l); st_numscalar("b_msetwo_r", b_msetwo_r) + } + if ("`bwselect'"=="msecomb1" | "`bwselect'"=="cercomb1" | "`all'"!="" ) { + h_msecomb1 = min((h_mserd,h_msesum)) + b_msecomb1 = min((b_mserd,b_msesum)) + st_numscalar("h_msecomb1", h_msecomb1); st_numscalar("b_msecomb1", b_msecomb1) + } + if ("`bwselect'"=="msecomb2" | "`bwselect'"=="cercomb2" | "`all'"!="" ) { + h_msecomb2_l = (sort((h_mserd,h_msesum,h_msetwo_l)',1))[2] + h_msecomb2_r = (sort((h_mserd,h_msesum,h_msetwo_r)',1))[2] + b_msecomb2_l = (sort((b_mserd,b_msesum,b_msetwo_l)',1))[2] + b_msecomb2_r = (sort((b_mserd,b_msesum,b_msetwo_r)',1))[2] + st_numscalar("h_msecomb2_l", h_msecomb2_l); st_numscalar("h_msecomb2_r", h_msecomb2_r); + st_numscalar("b_msecomb2_l", b_msecomb2_l); st_numscalar("b_msecomb2_r", b_msecomb2_r); + } + + cer_h = N^(-(`p'/((3+`p')*(3+2*`p')))) + if ("`cluster'"!="") cer_h = (g_l+g_r)^(-(`p'/((3+`p')*(3+2*`p')))) + cer_b = 1 + + if ("`bwselect'"=="cerrd" | "`all'"!="" ){ + h_cerrd = h_mserd*cer_h + b_cerrd = b_mserd*cer_b + st_numscalar("h_cerrd", h_cerrd); st_numscalar("b_cerrd", b_cerrd) + } + if ("`bwselect'"=="cersum" | "`all'"!="" ){ + h_cersum = h_msesum*cer_h + b_cersum= b_msesum*cer_b + st_numscalar("h_cersum", h_cersum); st_numscalar("b_cersum", b_cersum) + } + if ("`bwselect'"=="certwo" | "`all'"!="" ){ + h_certwo_l = h_msetwo_l*cer_h + h_certwo_r = h_msetwo_r*cer_h + b_certwo_l = b_msetwo_l*cer_b + b_certwo_r = b_msetwo_r*cer_b + st_numscalar("h_certwo_l", h_certwo_l); st_numscalar("h_certwo_r", h_certwo_r); + st_numscalar("b_certwo_l", b_certwo_l); st_numscalar("b_certwo_r", b_certwo_r); + } + if ("`bwselect'"=="cercomb1" | "`all'"!="" ){ + h_cercomb1 = h_msecomb1*cer_h + b_cercomb1 = b_msecomb1*cer_b + st_numscalar("h_cercomb1", h_cercomb1); st_numscalar("b_cercomb1", b_cercomb1) + } + if ("`bwselect'"=="cercomb2" | "`all'"!="" ){ + h_cercomb2_l = h_msecomb2_l*cer_h + h_cercomb2_r = h_msecomb2_r*cer_h + b_cercomb2_l = b_msecomb2_l*cer_b + b_cercomb2_r = b_msecomb2_r*cer_b + st_numscalar("h_cercomb2_l", h_cercomb2_l); st_numscalar("h_cercomb2_r", h_cercomb2_r); + st_numscalar("b_cercomb2_l", b_cercomb2_l); st_numscalar("b_cercomb2_r", b_cercomb2_r); + } +} + + ******************************************************************************* + disp "" + if ("`fuzzy'"=="") { + if ("`covs'"=="") { + if ("`deriv'"=="0") disp in yellow "Bandwidth estimators for sharp RD local polynomial regression." + else if ("`deriv'"=="1") disp in yellow "Bandwidth estimators for sharp kink RD local polynomial regression." + else disp in yellow "Bandwidth estimators for sharp RD local polynomial regression. Derivative of order " `deriv' "." + } + else { + if ("`deriv'"=="0") disp in yellow "Bandwidth estimators for covariate-adjusted sharp RD local polynomial regression." + else if ("`deriv'"=="1") disp in yellow "Bandwidth estimators for covariate-adjusted sharp kink RD local polynomial regression." + else disp in yellow "Bandwidth estimators for covariate-adjusted sharp RD local polynomial regression. Derivative of order " `deriv' "." + } + } + else { + if ("`covs'"=="") { + if ("`deriv'"=="0") disp in yellow "Bandwidth estimators for fuzzy RD local polynomial regression." + else if ("`deriv'"=="1") disp in yellow "Bandwidth estimators for fuzzy kink RD local polynomial regression." + else disp in yellow "Bandwidth estimators for fuzzy RD local polynomial regression. Derivative of order " `deriv' "." + } + else { + if ("`deriv'"=="0") disp in yellow "Bandwidth estimators for covariate-adjusted fuzzy RD local polynomial regression." + else if ("`deriv'"=="1") disp in yellow "Bandwidth estimators for covariate-adjusted fuzzy kink RD local polynomial regression." + else disp in yellow "Bandwidth estimators for covariate-adjusted fuzzy RD local polynomial regression. Derivative of order " `deriv' "." + } + } + disp "" + + disp in smcl in gr "{ralign 18: Cutoff c = `c_orig'}" _col(19) " {c |} " _col(21) in gr "Left of " in yellow "c" _col(33) in gr "Right of " in yellow "c" _col(55) in gr "Number of obs = " in yellow %10.0f scalar(N) + disp in smcl in gr "{hline 19}{c +}{hline 22}" _col(55) in gr "Kernel = " in yellow "{ralign 10:`kernel_type'}" + disp in smcl in gr "{ralign 18:Number of obs}" _col(19) " {c |} " _col(21) as result %9.0f scalar(N_l) _col(34) %9.0f scalar(N_r) _col(55) in gr "VCE method = " in yellow "{ralign 10:`vce_type'}" + disp in smcl in gr "{ralign 18:Min of `x'}" _col(19) " {c |} " _col(21) as result %9.3f scalar(x_l_min) _col(34) %9.3f scalar(x_r_min) + disp in smcl in gr "{ralign 18:Max of `x'}" _col(19) " {c |} " _col(21) as result %9.3f scalar(x_l_max) _col(34) %9.3f scalar(x_r_max) + disp in smcl in gr "{ralign 18:Order est. (p)}" _col(19) " {c |} " _col(21) as result %9.0f `p' _col(34) %9.0f `p' + disp in smcl in gr "{ralign 18:Order bias (q)}" _col(19) " {c |} " _col(21) as result %9.0f `q' _col(34) %9.0f `q' + if ("`masspoints'"=="check" | masspoints_found==1) disp in smcl in gr "{ralign 18:Unique obs}" _col(19) " {c |} " _col(21) as result %9.0f scalar(M_l) _col(34) %9.0f scalar(M_r) + if ("`cluster'"!="") disp in smcl in gr "{ralign 18:Number of clusters}" _col(19) " {c |} " _col(21) as result %9.0f scalar(g_l) _col(34) %9.0f scalar(g_r) + + + disp "" + if ("`fuzzy'"=="") disp "Outcome: `y'. Running variable: `x'." + else disp in yellow "Outcome: `y'. Running variable: `x'. Treatment Status: `fuzzyvar'." + disp in smcl in gr "{hline 19}{c TT}{hline 30}{c TT}{hline 29}" + disp in smcl in gr _col(19) " {c |} " _col(30) "BW est. (h)" _col(50) " {c |} " _col(60) "BW bias (b)" + disp in smcl in gr "{ralign 18:Method}" _col(19) " {c |} " _col(22) "Left of " in yellow "c" _col(40) in green "Right of " in yellow "c" in green _col(50) " {c |} " _col(53) "Left of " in yellow "c" _col(70) in green "Right of " in yellow "c" + disp in smcl in gr "{hline 19}{c +}{hline 30}{c +}{hline 29}" + + if ("`bwselect'"=="mserd" | "`bwselect'"=="" | "`all'"!="" ) { + disp in smcl in gr "{ralign 18:mserd}" _col(19) " {c |} " _col(22) as result %9.3f scalar(h_mserd) _col(41) %9.3f scalar(h_mserd) in green _col(50) " {c |} " _col(51) as result %9.3f scalar(b_mserd) _col(71) %9.3f scalar(b_mserd) + } + if ("`bwselect'"=="msetwo" | "`all'"!="") { + disp in smcl in gr "{ralign 18:msetwo}" _col(19) " {c |} " _col(22) as result %9.3f scalar(h_msetwo_l) _col(41) %9.3f scalar(h_msetwo_r) in green _col(50) " {c |} " _col(51) as result %9.3f scalar(b_msetwo_l) _col(71) %9.3f scalar(b_msetwo_r) + } + if ("`bwselect'"=="msesum" | "`all'"!="") { + disp in smcl in gr "{ralign 18:msesum}" _col(19) " {c |} " _col(22) as result %9.3f scalar(h_msesum) _col(41) %9.3f scalar(h_msesum) in green _col(50) " {c |} " _col(51) as result %9.3f scalar(b_msesum) _col(71) %9.3f scalar(b_msesum) + } + if ("`bwselect'"=="msecomb1" | "`all'"!="" ) { + disp in smcl in gr "{ralign 18:msecomb1}" _col(19) " {c |} " _col(22) as result %9.3f scalar(h_msecomb1) _col(41) %9.3f scalar(h_msecomb1) in green _col(50) " {c |} " _col(51) as result %9.3f scalar(b_msecomb1) _col(71) %9.3f scalar(b_msecomb1) + } + if ("`bwselect'"=="msecomb2" | "`all'"!="" ) { + disp in smcl in gr "{ralign 18:msecomb2}" _col(19) " {c |} " _col(22) as result %9.3f scalar(h_msecomb2_l) _col(41) %9.3f scalar(h_msecomb2_r) in green _col(50) " {c |} " _col(51) as result %9.3f scalar(b_msecomb2_l) _col(71) %9.3f scalar(b_msecomb2_r) + } + if ("`all'"!="" ) disp in smcl in gr "{hline 19}{c +}{hline 30}{c +}{hline 29}" + if ("`bwselect'"=="cerrd" | "`all'"!="" ){ + disp in smcl in gr "{ralign 18:cerrd}" _col(19) " {c |} " _col(22) as result %9.3f scalar(h_cerrd) _col(41) %9.3f scalar(h_cerrd) in green _col(50) " {c |} " _col(51) as result %9.3f scalar(b_cerrd) _col(71) %9.3f scalar(b_cerrd) + } + if ("`bwselect'"=="certwo" | "`all'"!="" ){ + disp in smcl in gr "{ralign 18:certwo}" _col(19) " {c |} " _col(22) as result %9.3f scalar(h_certwo_l) _col(41) %9.3f scalar(h_certwo_r) in green _col(50) " {c |} " _col(51) as result %9.3f scalar(b_certwo_l) _col(71) %9.3f scalar(b_certwo_r) + } + if ("`bwselect'"=="cersum" | "`all'"!="" ){ + disp in smcl in gr "{ralign 18:cersum}" _col(19) " {c |} " _col(22) as result %9.3f scalar(h_cersum) _col(41) %9.3f scalar(h_cersum) in green _col(50) " {c |} " _col(51) as result %9.3f scalar(b_cersum) _col(71) %9.3f scalar(b_cersum) + } + if ("`bwselect'"=="cercomb1" | "`all'"!="" ){ + disp in smcl in gr "{ralign 18:cercomb1}" _col(19) " {c |} " _col(22) as result %9.3f scalar(h_cercomb1) _col(41) %9.3f scalar(h_cercomb1) in green _col(50) " {c |} " _col(51) as result %9.3f scalar(b_cercomb1) _col(71) %9.3f scalar(b_cercomb1) + } + if ("`bwselect'"=="cercomb2" | "`all'"!="" ){ + disp in smcl in gr "{ralign 18:cercomb2}" _col(19) " {c |} " _col(22) as result %9.3f scalar(h_cercomb2_l) _col(41) %9.3f scalar(h_cercomb2_r) in green _col(50) " {c |} " _col(51) as result %9.3f scalar(b_cercomb2_l) _col(71) %9.3f scalar(b_cercomb2_r) + } + disp in smcl in gr "{hline 19}{c BT}{hline 30}{c BT}{hline 29}" + if ("`covs'"!="") di "Covariate-adjusted estimates. Additional covariates included: `ncovs'" +* if (`covs_drop_coll'>=1) di "Variables dropped due to multicollinearity." + if ("`masspoints'"=="check") di "Running variable checked for mass points." + if ("`masspoints'"=="adjust" & masspoints_found==1) di "Estimates adjusted for mass points in the running variable." + + if ("`cluster'"!="") di "Std. Err. adjusted for clusters in " "`clustvar'" + if ("`scaleregul'"!="1") di "Scale regularization: " `scaleregul' + if ("`sharpbw'"~="") di in red "WARNING: bandwidths automatically computed for sharp RD estimation." + if ("`perf_comp'"~="") di in red "WARNING: bandwidths automatically computed for sharp RD estimation because perfect compliance was detected on at least one side of the threshold." + + restore + ereturn clear + ereturn scalar N_l = scalar(N_l) + ereturn scalar N_r = scalar(N_r) + ereturn scalar c = `c' + ereturn scalar p = `p' + ereturn scalar q = `q' + ereturn local kernel = "`kernel_type'" + ereturn local bwselect = "`bwselect'" + ereturn local vce_select = "`vce_type'" + if ("`covs'"!="") ereturn local covs "`covs'" + if ("`cluster'"!="") ereturn local clustvar "`clustvar'" + ereturn local outcomevar "`y'" + ereturn local runningvar "`x'" + ereturn local depvar "`y'" + ereturn local cmd "rdbwselect" + + if ("`bwselect'"=="mserd" | "`bwselect'"=="" | "`all'"!="" ) { + ereturn scalar h_mserd = scalar(h_mserd) + ereturn scalar b_mserd = scalar(b_mserd) + } + if ("`bwselect'"=="msesum" | "`all'"!="") { + ereturn scalar h_msesum = scalar(h_msesum) + ereturn scalar b_msesum = scalar(b_msesum) + } + if ("`bwselect'"=="msetwo" | "`all'"!="") { + ereturn scalar h_msetwo_l = scalar(h_msetwo_l) + ereturn scalar h_msetwo_r = scalar(h_msetwo_r) + ereturn scalar b_msetwo_l = scalar(b_msetwo_l) + ereturn scalar b_msetwo_r = scalar(b_msetwo_r) + } + if ("`bwselect'"=="msecomb1" | "`all'"!="" ) { + ereturn scalar h_msecomb1 = scalar(h_msecomb1) + ereturn scalar b_msecomb1 = scalar(b_msecomb1) + } + if ("`bwselect'"=="msecomb2" | "`all'"!="" ) { + ereturn scalar h_msecomb2_l = scalar(h_msecomb2_l) + ereturn scalar h_msecomb2_r = scalar(h_msecomb2_r) + ereturn scalar b_msecomb2_l = scalar(b_msecomb2_l) + ereturn scalar b_msecomb2_r = scalar(b_msecomb2_r) + } + if ("`bwselect'"=="cerrd" | "`all'"!="") { + ereturn scalar h_cerrd = scalar(h_cerrd) + ereturn scalar b_cerrd = scalar(b_cerrd) + } + if ("`bwselect'"=="cersum" | "`all'"!="") { + ereturn scalar h_cersum = scalar(h_cersum) + ereturn scalar b_cersum = scalar(b_cersum) + } + if ("`bwselect'"=="certwo" | "`all'"!="") { + ereturn scalar h_certwo_l = scalar(h_certwo_l) + ereturn scalar h_certwo_r = scalar(h_certwo_r) + ereturn scalar b_certwo_l = scalar(b_certwo_l) + ereturn scalar b_certwo_r = scalar(b_certwo_r) + } + if ("`bwselect'"=="cercomb1" | "`all'"!="") { + ereturn scalar h_cercomb1 = scalar(h_cercomb1) + ereturn scalar b_cercomb1 = scalar(b_cercomb1) + } + if ("`bwselect'"=="cercomb2" | "`all'"!="") { + ereturn scalar h_cercomb2_l = scalar(h_cercomb2_l) + ereturn scalar h_cercomb2_r = scalar(h_cercomb2_r) + ereturn scalar b_cercomb2_l = scalar(b_cercomb2_l) + ereturn scalar b_cercomb2_r = scalar(b_cercomb2_r) + } + + mata mata clear + +end diff --git a/30/replication_package/Adofiles/rd_2021/rdbwselect.sthlp b/30/replication_package/Adofiles/rd_2021/rdbwselect.sthlp new file mode 100644 index 0000000000000000000000000000000000000000..0cce991bdcfb101e3c03099362612c441fb9c35b --- /dev/null +++ b/30/replication_package/Adofiles/rd_2021/rdbwselect.sthlp @@ -0,0 +1,275 @@ +{smcl} +{* *!version 8.1.0 2021-02-22}{...} +{viewerjumpto "Syntax" "rdbwselect##syntax"}{...} +{viewerjumpto "Description" "rdbwselect##description"}{...} +{viewerjumpto "Options" "rdbwselect##options"}{...} +{viewerjumpto "Examples" "rdbwselect##examples"}{...} +{viewerjumpto "Stored results" "rdbwselect##stored_results"}{...} +{viewerjumpto "References" "rdbwselect##references"}{...} +{viewerjumpto "Authors" "rdbwselect##authors"}{...} + +{title:Title} + +{p 4 8}{cmd:rdbwselect} {hline 2} Bandwidth Selection Procedures for Local Polynomial Regression Discontinuity Estimators.{p_end} + +{marker syntax}{...} +{title:Syntax} + +{p 4 8}{cmd:rdbwselect } {it:depvar} {it:indepvar} {ifin} +[{cmd:,} +{cmd:c(}{it:#}{cmd:)} +{cmd:fuzzy(}{it:fuzzyvar [sharpbw]}{cmd:)} +{cmd:deriv(}{it:#}{cmd:)} +{cmd:p(}{it:#}{cmd:)} +{cmd:q(}{it:#}{cmd:)} +{cmd:covs(}{it:covars}{cmd:)} +{cmd:covs_drop(}{it:covsdropoption}{cmd:)} +{cmd:kernel(}{it:kernelfn}{cmd:)} +{cmd:weights(}{it:weightsvar}{cmd:)} +{cmd:bwselect(}{it:bwmethod}{cmd:)} +{cmd:all} +{cmd:scaleregul(}{it:#}{cmd:)} +{cmd:masspoints(}{it:masspointsoption}{cmd:)} +{cmd:bwcheck(}{it:bwcheck}{cmd:)} +{cmd:bwrestrict(}{it:bwropt}{cmd:)} +{cmd:stdvars(}{it:stdopt}{cmd:)} +{cmd:vce(}{it:vcetype [vceopt1 vceopt2]}{cmd:)} +]{p_end} + +{synoptset 28 tabbed}{...} + +{marker description}{...} +{title:Description} + +{p 4 8}{cmd:rdbwselect} implements bandwidth selectors for local polynomial Regression Discontinuity (RD) point estimators and inference procedures developed in +{browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Titiunik_2014_ECMA.pdf":Calonico, Cattaneo and Titiunik (2014a)}, +{browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Farrell_2018_JASA.pdf":Calonico, Cattaneo and Farrell (2018)}, +{browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Farrell-Titiunik_2019_RESTAT.pdf":Calonico, Cattaneo, Farrell and Titiunik (2019)}, +and {browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Farrell_2020_ECTJ.pdf":Calonico, Cattaneo and Farrell (2020)}.{p_end} + +{p 8 8} Companion commands are: {help rdrobust:rdrobust} for point estimation and inference procedures, and {help rdplot:rdplot} for data-driven RD plots (see +{browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Titiunik_2015_JASA.pdf":Calonico, Cattaneo and Titiunik (2015a)} for details).{p_end} + +{p 8 8}A detailed introduction to this command is given in +{browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Titiunik_2014_Stata.pdf":Calonico, Cattaneo and Titiunik (2014b)}, +and {browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Farrell-Titiunik_2017_Stata.pdf":Calonico, Cattaneo, Farrell and Titiunik (2017)}. A companion {browse "www.r-project.org":R} package is also described in +{browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Titiunik_2015_R.pdf":Calonico, Cattaneo and Titiunik (2015b)}.{p_end} + +{p 4 8}Related Stata and R packages useful for inference in RD designs are described in the following website:{p_end} + +{p 8 8}{browse "https://rdpackages.github.io/":https://rdpackages.github.io/}{p_end} + + +{marker options}{...} +{title:Options} + +{dlgtab:Estimand} + +{p 4 8}{cmd:c(}{it:#}{cmd:)} specifies the RD cutoff for {it:indepvar}. +Default is {cmd:c(0)}.{p_end} + +{p 4 8}{cmd:fuzzy(}{it:fuzzyvar [sharpbw]}{cmd:)} specifies the treatment status variable used to implement fuzzy RD estimation (or Fuzzy Kink RD if {cmd:deriv(1)} is also specified). +Default is Sharp RD design and hence this option is not used. +If the option {it:sharpbw} is set, the fuzzy RD estimation is performed using a bandwidth selection procedure for the sharp RD model. This option is automatically selected if there is perfect compliance at either side of the threshold. +{p_end} + +{p 4 8}{cmd:deriv(}{it:#}{cmd:)} specifies the order of the derivative of the regression functions to be estimated. +Default is {cmd:deriv(0)} (for Sharp RD, or for Fuzzy RD if {cmd:fuzzy(.)} is also specified). Setting {cmd:deriv(1)} results in estimation of a Kink RD design (up to scale), or Fuzzy Kink RD if {cmd:fuzzy(.)} is also specified.{p_end} + +{dlgtab:Local Polynomial Regression} + +{p 4 8}{cmd:p(}{it:#}{cmd:)} specifies the order of the local polynomial used to construct the point estimator. +Default is {cmd:p(1)} (local linear regression).{p_end} + +{p 4 8}{cmd:q(}{it:#}{cmd:)} specifies the order of the local polynomial used to construct the bias correction. +Default is {cmd:q(2)} (local quadratic regression).{p_end} + +{p 4 8}{cmd:covs(}{it:covars}{cmd:)} specifies additional covariates to be used for estimation and inference.{p_end} + +{p 4 8}{cmd:covs_drop(}{it:covsdropoption}{cmd:)} assess collinearity in additional covariates used for estimation and inference. Options {opt pinv} (default choice) and {opt invsym} drops collinear additional covariates, differing only in the type of inverse function used. Option {opt off} only checks collinear additional covariates but does not drop them.{p_end} + +{p 4 8}{cmd:kernel(}{it:kernelfn}{cmd:)} specifies the kernel function used to construct the local-polynomial estimator(s). Options are: {opt tri:angular}, {opt epa:nechnikov}, and {opt uni:form}. +Default is {cmd:kernel(triangular)}.{p_end} + +{p 4 8}{cmd:weights(}{it:weightsvar}{cmd:)} is the variable used for optional weighting of the estimation procedure. The unit-specific weights multiply the kernel function.{p_end} + +{dlgtab:Bandwidth Selection} + +{p 4 8}{cmd:bwselect(}{it:bwmethod}{cmd:)} specifies the bandwidth selection procedure to be used. +Options are:{p_end} +{p 8 12}{opt mserd} one common MSE-optimal bandwidth selector for the RD treatment effect estimator.{p_end} +{p 8 12}{opt msetwo} two different MSE-optimal bandwidth selectors (below and above the cutoff) for the RD treatment effect estimator.{p_end} +{p 8 12}{opt msesum} one common MSE-optimal bandwidth selector for the sum of regression estimates (as opposed to difference thereof).{p_end} +{p 8 12}{opt msecomb1} for min({opt mserd},{opt msesum}).{p_end} +{p 8 12}{opt msecomb2} for median({opt msetwo},{opt mserd},{opt msesum}), for each side of the cutoff separately.{p_end} +{p 8 12}{opt cerrd} one common CER-optimal bandwidth selector for the RD treatment effect estimator.{p_end} +{p 8 12}{opt certwo} two different CER-optimal bandwidth selectors (below and above the cutoff) for the RD treatment effect estimator.{p_end} +{p 8 12}{opt cersum} one common CER-optimal bandwidth selector for the sum of regression estimates (as opposed to difference thereof).{p_end} +{p 8 12}{opt cercomb1} for min({opt cerrd},{opt cersum}).{p_end} +{p 8 12}{opt cercomb2} for median({opt certwo},{opt cerrd},{opt cersum}), for each side of the cutoff separately.{p_end} +{p 8 12}Note: MSE = Mean Square Error; CER = Coverage Error Rate.{p_end} +{p 8 12}Default is {cmd:bwselect(mserd)}. For details on implementation see +{browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Titiunik_2014_ECMA.pdf":Calonico, Cattaneo and Titiunik (2014a)}, +{browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Farrell_2018_JASA.pdf":Calonico, Cattaneo and Farrell (2018)}, +{browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Farrell-Titiunik_2019_RESTAT.pdf":Calonico, Cattaneo, Farrell and Titiunik (2019)}, +and {browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Farrell_2020_ECTJ.pdf":Calonico, Cattaneo and Farrell (2020)}, +and the companion software articles.{p_end} + +{p 4 8}{cmd:all} if specified, {cmd:rdbwselect} reports all available bandwidth selection procedures.{p_end} + +{p 4 8}{cmd:scaleregul(}{it:#}{cmd:)} specifies scaling factor for the regularization term added to the denominator of the bandwidth selectors. Setting {cmd:scaleregul(0)} removes the regularization term from the bandwidth selectors. +Default is {cmd:scaleregul(1)}.{p_end} + +{p 4 8}{cmd:masspoints(}{it:masspointsoption}{cmd:)} checks and controls for repeated observations in the running variable. +Options are:{p_end} +{p 8 12}{opt off} ignores the presence of mass points. {p_end} +{p 8 12}{opt check} looks for and reports the number of unique observations at each side of the cutoff. {p_end} +{p 8 12}{opt adjust} controls that the preliminary bandwidths used in the calculations contain a minimal number of unique observations. By default it uses 10 observations, but it can be manually adjusted with the option {cmd:bwcheck}.{p_end} +{p 8 12} Default option is {cmd:masspoints(adjust)}.{p_end} + +{p 4 8}{cmd:bwcheck(}{it:bwcheck}{cmd:)} if a positive integer is provided, the preliminary bandwidth used in the calculations is enlarged so that at least {it:bwcheck} unique observations are used. {p_end} + +{p 4 8}{cmd:bwrestrict(}{it:bwropt}{cmd:)} if set {opt on}, computed bandwidths are restricted to lie within the range of {it:runvar}. Default is {opt on}.{p_end} + +{p 4 8}{cmd:stdvars(}{it:stdopt}{cmd:)} if set {opt on}, {it:depvar} and {it:runvar} are standardized before computing the bandwidths. Default is {opt off}.{p_end} + +{dlgtab:Variance-Covariance Estimation} + +{p 4 8}{cmd:vce(}{it:vcetype [vceopt1 vceopt2]}{cmd:)} specifies the procedure used to compute the variance-covariance matrix estimator. +Options are:{p_end} +{p 8 12}{cmd:vce(nn }{it:[nnmatch]}{cmd:)} for heteroskedasticity-robust nearest neighbor variance estimator with {it:nnmatch} indicating the minimum number of neighbors to be used.{p_end} +{p 8 12}{cmd:vce(hc0)} for heteroskedasticity-robust plug-in residuals variance estimator without weights.{p_end} +{p 8 12}{cmd:vce(hc1)} for heteroskedasticity-robust plug-in residuals variance estimator with {it:hc1} weights.{p_end} +{p 8 12}{cmd:vce(hc2)} for heteroskedasticity-robust plug-in residuals variance estimator with {it:hc2} weights.{p_end} +{p 8 12}{cmd:vce(hc3)} for heteroskedasticity-robust plug-in residuals variance estimator with {it:hc3} weights.{p_end} +{p 8 12}{cmd:vce(nncluster }{it:clustervar [nnmatch]}{cmd:)} for cluster-robust nearest neighbor variance estimation using with {it:clustervar} indicating the cluster ID variable and {it: nnmatch} matches indicating the minimum number of neighbors to be used.{p_end} +{p 8 12}{cmd:vce(cluster }{it:clustervar}{cmd:)} for cluster-robust plug-in residuals variance estimation with degrees-of-freedom weights and {it:clustervar} indicating the cluster ID variable.{p_end} +{p 8 12}Default is {cmd:vce(nn 3)}.{p_end} + + {hline} + + +{marker examples}{...} +{title:Example: Cattaneo, Frandsen and Titiunik (2015) Incumbency Data} + + +{p 4 8}Setup{p_end} +{p 8 8}{cmd:. use rdrobust_senate.dta}{p_end} + +{p 4 8}MSE bandwidth selection procedure{p_end} +{p 8 8}{cmd:. rdbwselect vote margin}{p_end} + +{p 4 8}All bandwidth bandwidth selection procedures{p_end} +{p 8 8}{cmd:. rdbwselect vote margin, all}{p_end} + + +{marker stored_results}{...} +{title:Stored results} + +{p 4 8}{cmd:rdbwselect} stores the following in {cmd:e()}: + +{synoptset 20 tabbed}{...} +{p2col 5 20 24 2: Scalars}{p_end} +{synopt:{cmd:e(N_l)}}number of observations to the left of the cutoff{p_end} +{synopt:{cmd:e(N_r)}}number of observations to the right of the cutoff{p_end} +{synopt:{cmd:e(c)}}cutoff value{p_end} +{synopt:{cmd:e(p)}}order of the polynomial used for estimation of the regression function{p_end} +{synopt:{cmd:e(q)}}order of the polynomial used for estimation of the bias of the regression function estimator{p_end} + +{synopt:{cmd:e(h_mserd)}} MSE-optimal bandwidth selector for the RD treatment effect estimator.{p_end} +{synopt:{cmd:e(h_msetwo_l)}} MSE-optimal bandwidth selectors below the cutoff for the RD treatment effect estimator.{p_end} +{synopt:{cmd:e(h_msetwo_r)}} MSE-optimal bandwidth selectors above the cutoff for the RD treatment effect estimator.{p_end} +{synopt:{cmd:e(h_msesum)}} MSE-optimal bandwidth selector for the sum of regression estimates.{p_end} +{synopt:{cmd:e(h_msecomb1)}} for min({opt mserd},{opt msesum}).{p_end} +{synopt:{cmd:e(h_msecomb2_l)}} for median({opt msetwo},{opt mserd},{opt msesum}), below the cutoff.{p_end} +{synopt:{cmd:e(h_msecomb2_r)}} for median({opt msetwo},{opt mserd},{opt msesum}), above the cutoff.{p_end} + +{synopt:{cmd:e(h_cerrd)}} CER-optimal bandwidth selector for the RD treatment effect estimator.{p_end} +{synopt:{cmd:e(h_certwo_l)}} CER-optimal bandwidth selectors below the cutoff for the RD treatment effect estimator.{p_end} +{synopt:{cmd:e(h_certwo_r)}} CER-optimal bandwidth selectors above the cutoff for the RD treatment effect estimator.{p_end} +{synopt:{cmd:e(h_cersum)}} CER-optimal bandwidth selector for the sum of regression estimates.{p_end} +{synopt:{cmd:e(h_cercomb1)}} for min({opt cerrd},{opt cersum}).{p_end} +{synopt:{cmd:e(h_cercomb2_l)}} for median({opt certwo_l},{opt cerrd},{opt cersum}), below the cutoff.{p_end} +{synopt:{cmd:e(h_cercomb2_r)}} for median({opt certwo_r},{opt cerrd},{opt cersum}), above the cutoff.{p_end} + +{synopt:{cmd:e(b_mserd)}} MSE-optimal bandwidth selector for the bias of the RD treatment effect estimator.{p_end} +{synopt:{cmd:e(b_msetwo_l)}} MSE-optimal bandwidth selectors below the cutoff for the bias of the RD treatment effect estimator.{p_end} +{synopt:{cmd:e(b_msetwo_r)}} MSE-optimal bandwidth selectors above the cutoff for the bias of the RD treatment effect estimator.{p_end} +{synopt:{cmd:e(b_msesum)}} MSE-optimal bandwidth selector for the sum of regression estimates for the bias of the RD treatment effect estimator.{p_end} +{synopt:{cmd:e(b_msecomb1)}} for min({opt mserd},{opt msesum}).{p_end} +{synopt:{cmd:e(b_msecomb2_l)}} for median({opt msetwo},{opt mserd},{opt msesum}), below the cutoff.{p_end} +{synopt:{cmd:e(b_msecomb2_r)}} for median({opt msetwo},{opt mserd},{opt msesum}), above the cutoff.{p_end} + +{synopt:{cmd:e(b_cerrd)}} CER-optimal bandwidth selector for the bias of the RD treatment effect estimator.{p_end} +{synopt:{cmd:e(b_certwo_l)}} CER-optimal bandwidth selectors below the cutoff for the bias of the RD treatment effect estimator.{p_end} +{synopt:{cmd:e(b_certwo_r)}} CER-optimal bandwidth selectors above the cutoff for the bias of the RD treatment effect estimator.{p_end} +{synopt:{cmd:e(b_cersum)}} CER-optimal bandwidth selector for the sum of regression estimates for the bias of the RD treatment effect estimator.{p_end} +{synopt:{cmd:e(b_cercomb1)}} for min({opt cerrd},{opt cersum}).{p_end} +{synopt:{cmd:e(b_cercomb2_l)}} for median({opt certwo_l},{opt cerrd},{opt cersum}), below the cutoff.{p_end} +{synopt:{cmd:e(b_cercomb2_r)}} for median({opt certwo_r},{opt cerrd},{opt cersum}), above the cutoff.{p_end} + +{p2col 5 20 24 2: Macros}{p_end} +{synopt:{cmd:e(runningvar)}}name of running variable{p_end} +{synopt:{cmd:e(outcomevar)}}name of outcome variable{p_end} +{synopt:{cmd:e(clustvar)}}name of cluster variable{p_end} +{synopt:{cmd:e(covs)}}name of covariates{p_end} +{synopt:{cmd:e(vce_select)}}vcetype specified in vce(){p_end} +{synopt:{cmd:e(bwselect)}}bandwidth selection choice{p_end} +{synopt:{cmd:e(kernel)}}kernel choice{p_end} + + +{marker references}{...} +{title:References} + +{p 4 8}Calonico, S., M. D. Cattaneo, and M. H. Farrell. 2020. +{browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Farrell_2020_ECTJ.pdf":Optimal Bandwidth Choice for Robust Bias Corrected Inference in Regression Discontinuity Designs}. +{it:Econometrics Journal} 23(2): 192-210.{p_end} + +{p 4 8}Calonico, S., M. D. Cattaneo, and M. H. Farrell. 2018. +{browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Farrell_2018_JASA.pdf":On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference}. +{it:Journal of the American Statistical Association} 113(522): 767-779.{p_end} + +{p 4 8}Calonico, S., M. D. Cattaneo, M. H. Farrell, and R. Titiunik. 2019. +{browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Farrell-Titiunik_2019_RESTAT.pdf":Regression Discontinuity Designs using Covariates}. +{it:Review of Economics and Statistics}, 101(3): 442-451.{p_end} + +{p 4 8}Calonico, S., M. D. Cattaneo, M. H. Farrell, and R. Titiunik. 2017. +{browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Farrell-Titiunik_2017_Stata.pdf":rdrobust: Software for Regression Discontinuity Designs}. +{it:Stata Journal} 17(2): 372-404.{p_end} + +{p 4 8}Calonico, S., M. D. Cattaneo, and R. Titiunik. 2014a. +{browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Titiunik_2014_ECMA.pdf":Robust Nonparametric Confidence Intervals for Regression-Discontinuity Designs}. +{it:Econometrica} 82(6): 2295-2326.{p_end} + +{p 4 8}Calonico, S., M. D. Cattaneo, and R. Titiunik. 2014b. +{browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Titiunik_2014_Stata.pdf":Robust Data-Driven Inference in the Regression-Discontinuity Design}. +{it:Stata Journal} 14(4): 909-946.{p_end} + +{p 4 8}Calonico, S., M. D. Cattaneo, and R. Titiunik. 2015a. +{browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Titiunik_2015_JASA.pdf":Optimal Data-Driven Regression Discontinuity Plots}. +{it:Journal of the American Statistical Association} 110(512): 1753-1769.{p_end} + +{p 4 8}Calonico, S., M. D. Cattaneo, and R. Titiunik. 2015b. +{browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Titiunik_2015_R.pdf":rdrobust: An R Package for Robust Nonparametric Inference in Regression-Discontinuity Designs}. +{it:R Journal} 7(1): 38-51.{p_end} + +{p 4 8}Cattaneo, M. D., B. Frandsen, and R. Titiunik. 2015. +{browse "https://rdpackages.github.io/references/Cattaneo-Frandsen-Titiunik_2015_JCI.pdf":Randomization Inference in the Regression Discontinuity Design: An Application to Party Advantages in the U.S. Senate}. +{it:Journal of Causal Inference} 3(1): 1-24.{p_end} + +{marker authors}{...} +{title:Authors} + +{p 4 8}Sebastian Calonico, Columbia University, New York, NY. +{browse "mailto:sebastian.calonico@columbia.edu":sebastian.calonico@columbia.edu}.{p_end} + +{p 4 8}Matias D. Cattaneo, Princeton University, Princeton, NJ. +{browse "mailto:cattaneo@princeton.edu":cattaneo@princeton.edu}.{p_end} + +{p 4 8}Max H. Farrell, University of Chicago, Chicago, IL. +{browse "mailto:max.farrell@chicagobooth.edu":max.farrell@chicagobooth.edu}.{p_end} + +{p 4 8}Rocio Titiunik, Princeton University, Princeton, NJ. +{browse "mailto:titiunik@princeton.edu":titiunik@princeton.edu}.{p_end} + + diff --git a/30/replication_package/Adofiles/rd_2021/rdbwselect_2014.ado b/30/replication_package/Adofiles/rd_2021/rdbwselect_2014.ado new file mode 100644 index 0000000000000000000000000000000000000000..d78878ac2425c715ebe93f39c1b58057468428d1 --- /dev/null +++ b/30/replication_package/Adofiles/rd_2021/rdbwselect_2014.ado @@ -0,0 +1,596 @@ +*!version 6.0 2014-10-14 + +capture program drop rdbwselect_2014 +program define rdbwselect_2014, eclass + syntax anything [if] [in] [, c(real 0) deriv(real 0) p(real 1) q(real 0) kernel(string) bwselect(string) rho(real 0) vce(string) matches(real 3) delta(real 0.5) cvgrid_min(real 0) cvgrid_max(real 0) cvgrid_length(real 0) cvplot all precalc scaleregul(real 1) ] + + local kernel = lower("`kernel'") + local bwselect = upper("`bwselect'") + local vce = lower("`vce'") + + marksample touse + preserve + qui keep if `touse' + tokenize "`anything'" + local y `1' + local x `2' + qui drop if `y'==. | `x'==. + tempvar x_l x_r y_l y_r + local b_calc = 0 + + if (`rho'==0){ + local b_calc = 1 + local rho = 1 + } + + qui su `x' if `x'<`c', d + local medX_l = r(p50) + qui su `x' if `x'>=`c', d + local medX_r = r(p50) + + if ("`precalc'"==""){ + qui gen `x_l' = `x' if `x'<`c' + qui gen `x_r' = `x' if `x'>=`c' + qui gen `y_l' = `y' if `x'<`c' + qui gen `y_r' = `y' if `x'>=`c' + + qui su `x' + local x_min = r(min) + local x_max = r(max) + qui su `x_l',d + local N_l = r(N) + local range_l = abs(r(max)-r(min)) + qui su `x_r',d + local N_r = r(N) + local range_r = abs(r(max)-r(min)) + local N = `N_r' + `N_l' + + if ("`deriv'">"0" & "`p'"=="1" & "`q'"=="0"){ + local p = `deriv'+1 + } + + if ("`q'"=="0") { + local q = `p'+1 + } + + + **************************** ERRORS + if (`c'<=`x_min' | `c'>=`x_max'){ + di "{err}{cmd:c()} should be set within the range of `x'" + exit 125 + } + + if (`N_l'<20 | `N_r'<20){ + di "{err}Not enough observations to perform calculations" + exit 2001 + } + + if ("`p'">"8"){ + di "{err}{cmd:p()} should be less or equal than 8 for this version of the software package" + exit 125 + } + + + if ("`kernel'"~="uni" & "`kernel'"~="uniform" & "`kernel'"~="tri" & "`kernel'"~="triangular" & "`kernel'"~="epa" & "`kernel'"~="epanechnikov" & "`kernel'"~="" ){ + di "{err}{cmd:kernel()} incorrectly specified" + exit 7 + } + + if ("`bwselect'"~="CCT" & "`bwselect'"~="IK" & "`bwselect'"~="CV" & "`bwselect'"~=""){ + di "{err}{cmd:bwselect()} incorrectly specified" + exit 7 + } + + if ("`vce'"~="resid" & "`vce'"~="nn" & "`vce'"~=""){ + di "{err}{cmd:vce()} incorrectly specified" + exit 7 + } + + if ("`p'"<"0" | "`q'"<="0" | "`deriv'"<"0" | "`matches'"<="0" | `scaleregul'<0){ + di "{err}{cmd:p()}, {cmd:q()}, {cmd:deriv()}, {cmd:matches()} and {cmd:scaleregul()} should be positive" + exit 411 + } + + if ("`p'">="`q'" & "`q'">"0"){ + di "{err}{cmd:q()} should be higher than {cmd:p()}" + exit 125 + } + + if ("`deriv'">"`p'" & "`deriv'">"0" ){ + di "{err}{cmd:deriv()} can not be higher than {cmd:p()}" + exit 125 + } + + if ("`p'">"0" ) { + local p_round = round(`p')/`p' + local q_round = round(`q')/`q' + local d_round = round(`deriv'+1)/(`deriv'+1) + local m_round = round(`matches')/`matches' + + if (`p_round'!=1 | `q_round'!=1 |`d_round'!=1 |`m_round'!=1 ){ + di "{err}{cmd:p()}, {cmd:q()}, {cmd:deriv()} and {cmd:matches()} should be integers" + exit 126 + } + } + + if (`delta'>1 | `delta'<=0){ + di "{err}{cmd:delta()}should be set between 0 and 1" + exit 125 + } + + if (`rho'>1 | `rho'<0){ + di "{err}{cmd:rho()}should be set between 0 and 1" + exit 125 + } + + if (`cvgrid_min'<0 | `cvgrid_max'<0 | `cvgrid_length'<0 ){ + di "{err}{cmd:cvgrid_min()}, {cmd:cvgrid_max()} and {cmd:cvgrid_length()} should be positive numbers" + exit 126 + } + + if (`cvgrid_min'>`cvgrid_max' ){ + di "{err}{cmd:cvgrid_min()} should be lower than {cmd:cvgrid_max()}" + exit 125 + } + + if (`deriv'>0 & ("`bwselect'"=="IK" | "`bwselect'"=="CV" | "`all'"!="")) { + di "{err}{cmd:IK} and {cmd:CV} implementations are not availale for {cmd:deriv}>0; use CCT instead" + exit 125 + } + + if ("`exit'">"0") { + exit + } + + if ("`kernel'"=="epanechnikov" | "`kernel'"=="epa") { + local kernel_type = "Epanechnikov" + } + else if ("`kernel'"=="uniform" | "`kernel'"=="uni") { + local kernel_type = "Uniform" + } + else { + local kernel_type = "Triangular" + } + } + + local p1 = `p' + 1 + local p2 = `p' + 2 + local q1 = `q' + 1 + local q2 = `q' + 2 + local q3 = `q' + 3 + quietly count if `x'<`c' + local N_l = r(N) + quietly count if `c'<=`x' + local N_r = r(N) + local N = `N_r' + `N_l' + local m = `matches' + 1 + + if ("`kernel'"=="epanechnikov" | "`kernel'"=="epa") { + local kid=3 + local C_pilot=2.34 + } + else if ("`kernel'"=="uniform" | "`kernel'"=="uni") { + local kid=2 + local C_pilot=1.84 + } + else { + local kid=1 + local C_pilot=2.58 + } + + rdbwselect_2014_kconst `p' `deriv' `kid' + local C1_h = e(C1) + local C2_h = e(C2) + rdbwselect_2014_kconst `q' `q' `kid' + local C1_b = e(C1) + local C2_b = e(C2) + rdbwselect_2014_kconst `q1' `q1' `kid' + local C1_q = e(C1) + local C2_q = e(C2) + + rdbwselect_2014_kconst `q' `q' 2 + local C1_b_uni = e(C1) + local C2_b_uni = e(C2) + rdbwselect_2014_kconst `q1' `q1' 2 + local C1_q_uni = e(C1) + local C2_q_uni = e(C2) + + *********************************************************************** + **************************** CCT Approach + *********************************************************************** + qui su `x', d + local h_pilot_CCT = `C_pilot'*min(r(sd),(r(p75)-r(p25))/1.349)*r(N)^(-1/5) + + mata{ + h_pilot_CCT=`h_pilot_CCT' + N_l = `N_l' + N_r = `N_r' + p = `p' + q = `q' + c = `c' + C1_h=`C1_h' + C2_h=`C2_h' + C1_b=`C1_b' + C2_b=`C2_b' + C1_q=`C1_q' + C2_q=`C2_q' + + C1_b_uni=`C1_b_uni' + C2_b_uni=`C2_b_uni' + C1_q_uni=`C1_q_uni' + C2_q_uni=`C2_q_uni' + + deriv = `deriv' + p1 = p+1; q1 = q+1; p2 = p+2; q2 = q+2; p3 = p+3; q3 = q+3 + Y = st_data(.,("`y'"), 0); X = st_data(.,("`x'"), 0) + X_l = select(X,X:=c) + Y_l = select(Y,X:=c) + X_lq2 = J(N_l, q+3, .); X_rq2 = J(N_r, q+3, .) + for (j=1; j<=q3; j++) { + X_lq2[.,j] = (X_l:-c):^(j-1) + X_rq2[.,j] = (X_r:-c):^(j-1) + } + + X_lq1 = X_lq2[.,1::q2];X_rq1 = X_rq2[.,1::q2] + X_lq = X_lq2[.,1::q1];X_rq = X_rq2[.,1::q1] + X_lp = X_lq2[.,1::p1];X_rp = X_rq2[.,1::p1] + + if ("`bwselect'"=="CCT" | "`bwselect'"=="" | "`all'"!="") { + + display("Computing CCT bandwidth selector.") + + *** Step 1: q_CCT + * Variances for all CCT estimators + w_pilot_l = rdbwselect_2014_kweight(X_l,c,h_pilot_CCT,"`kernel'") + w_pilot_r = rdbwselect_2014_kweight(X_r,c,h_pilot_CCT,"`kernel'") + Gamma_pilot_lq1 = cross(X_lq1, w_pilot_l, X_lq1); Gamma_pilot_rq1 = cross(X_rq1, w_pilot_r, X_rq1) + Gamma_pilot_lq = Gamma_pilot_lq1[1::`q1',1::`q1']; Gamma_pilot_rq = Gamma_pilot_rq1[1::`q1',1::`q1'] + Gamma_pilot_lp = Gamma_pilot_lq1[1::`p1',1::`p1']; Gamma_pilot_rp = Gamma_pilot_rq1[1::`p1',1::`p1'] + invGamma_pilot_lq1 = invsym(Gamma_pilot_lq1); invGamma_pilot_rq1 = invsym(Gamma_pilot_rq1) + invGamma_pilot_lq = invsym(Gamma_pilot_lq); invGamma_pilot_rq = invsym(Gamma_pilot_rq) + invGamma_pilot_lp = invsym(Gamma_pilot_lp); invGamma_pilot_rp = invsym(Gamma_pilot_rp) + sigma_l_pilot = rdbwselect_2014_rdvce(X_l, Y_l, Y_l, `p', `h_pilot_CCT', `matches', "`vce'", "`kernel'") + sigma_r_pilot = rdbwselect_2014_rdvce(X_r, Y_r, Y_r, `p', `h_pilot_CCT', `matches', "`vce'", "`kernel'") + Psi_pilot_lq1 = cross(X_lq1, w_pilot_l:*sigma_l_pilot:*w_pilot_l, X_lq1) + Psi_pilot_rq1 = cross(X_rq1, w_pilot_r:*sigma_r_pilot:*w_pilot_r, X_rq1) + Psi_pilot_lq = Psi_pilot_lq1[1::`q1',1::`q1']; Psi_pilot_rq = Psi_pilot_rq1[1::`q1',1::`q1'] + Psi_pilot_lp = Psi_pilot_lq1[1::`p1',1::`p1']; Psi_pilot_rp = Psi_pilot_rq1[1::`p1',1::`p1'] + V_m3_pilot_CCT = (invGamma_pilot_lq1*Psi_pilot_lq1*invGamma_pilot_lq1)[`q'+2,`q'+2] + (invGamma_pilot_rq1*Psi_pilot_rq1*invGamma_pilot_rq1)[`q'+2,`q'+2] + V_m2_pilot_CCT = (invGamma_pilot_lq*Psi_pilot_lq*invGamma_pilot_lq)[`q'+1,`q'+1] + (invGamma_pilot_rq*Psi_pilot_rq*invGamma_pilot_rq)[`q'+1,`q'+1] + V_m0_pilot_CCT = (invGamma_pilot_lp*Psi_pilot_lp*invGamma_pilot_lp)[`deriv'+1,`deriv'+1] + (invGamma_pilot_rp*Psi_pilot_rp*invGamma_pilot_rp)[`deriv'+1,`deriv'+1] + * Numerator + N_q_CCT=(2*q+3)*`N'*`h_pilot_CCT'^(2*q+3)*V_m3_pilot_CCT + * Denominator + m4_l_pilot_CCT = (invsym(cross(X_lq2,X_lq2))*cross(X_lq2,Y_l))[`q3',1] + m4_r_pilot_CCT = (invsym(cross(X_rq2,X_rq2))*cross(X_rq2,Y_r))[`q3',1] + D_q_CCT = 2*(C1_q*(m4_r_pilot_CCT-(-1)^(deriv+q)*m4_l_pilot_CCT))^2 + * Final + q_CCT = (N_q_CCT/(`N'*D_q_CCT))^(1/(2*q+5)) + + *** Step 2: b_CCT + * Numerator + N_b_CCT = (2*p+3)*`N'*`h_pilot_CCT'^(2*p+3)*V_m2_pilot_CCT + * Denominator + w_q_l=rdbwselect_2014_kweight(X_l,c,q_CCT,"`kernel'") + w_q_r=rdbwselect_2014_kweight(X_r,c,q_CCT,"`kernel'") + m3_l_CCT = (invsym(cross(X_lq1, w_q_l, X_lq1))*cross(X_lq1, w_q_l, Y_l))[q2,1] + m3_r_CCT = (invsym(cross(X_rq1, w_q_r, X_rq1))*cross(X_rq1, w_q_r, Y_r))[q2,1] + D_b_CCT = 2*(q-p)*(C1_b*(m3_r_CCT - (-1)^(deriv+q+1)*m3_l_CCT))^2 + * Regul + invGamma_q_lq1_CCT = invsym(cross(X_lq1, w_q_l, X_lq1)) + invGamma_q_rq1_CCT = invsym(cross(X_rq1, w_q_r, X_rq1)) + Psi_q_lq1_CCT = cross(X_lq1, w_q_l:*sigma_l_pilot:*w_q_l, X_lq1) + Psi_q_rq1_CCT = cross(X_rq1, w_q_r:*sigma_r_pilot:*w_q_r, X_rq1) + V_m3_q_CCT = (invGamma_q_lq1_CCT*Psi_q_lq1_CCT*invGamma_q_lq1_CCT)[`q'+2,`q'+2] + (invGamma_q_rq1_CCT*Psi_q_rq1_CCT*invGamma_q_rq1_CCT)[`q'+2,`q'+2] + R_b_CCT = `scaleregul'*2*(q-p)*C1_b^2*3*V_m3_q_CCT + * Final + b_CCT = (N_b_CCT / (`N'*(D_b_CCT + R_b_CCT)))^(1/(2*q+3)) + + *** Step 3: h_CCT + * Numerator + N_h_CCT = (2*`deriv'+1)*`N'*`h_pilot_CCT'^(2*`deriv'+1)*V_m0_pilot_CCT + * Denominator + w_b_l=rdbwselect_2014_kweight(X_l,`c',b_CCT,"`kernel'") + w_b_r=rdbwselect_2014_kweight(X_r,`c',b_CCT,"`kernel'") + m2_l_CCT = (invsym(cross(X_lq, w_b_l, X_lq))*cross(X_lq, w_b_l, Y_l))[`p2',1] + m2_r_CCT = (invsym(cross(X_rq, w_b_r, X_rq))*cross(X_rq, w_b_r, Y_r))[`p2',1] + D_h_CCT = 2*(p+1-`deriv')*(C1_h*(m2_r_CCT - (-1)^(`deriv'+p+1)*m2_l_CCT))^2 + * Regul + invGamma_b_lq_CCT = invsym(cross(X_lq, w_b_l, X_lq)) + invGamma_b_rq_CCT = invsym(cross(X_rq, w_b_r, X_rq)) + Psi_b_lq_CCT = cross(X_lq, w_b_l:*sigma_l_pilot:*w_b_l, X_lq) + Psi_b_rq_CCT = cross(X_rq, w_b_r:*sigma_r_pilot:*w_b_r, X_rq) + V_m2_b_CCT = (invGamma_b_lq_CCT*Psi_b_lq_CCT*invGamma_b_lq_CCT)[`p2',`p2'] + (invGamma_b_rq_CCT*Psi_b_rq_CCT*invGamma_b_rq_CCT)[`p2',`p2'] + R_h_CCT = `scaleregul'*2*(`p'+1-`deriv')*C1_h^2*3*V_m2_b_CCT + * Final + h_CCT = (N_h_CCT / (`N'*(D_h_CCT+R_h_CCT)))^(1/(2*p+3)) + + st_numscalar("h_CCT",h_CCT) + st_numscalar("q_CCT",q_CCT) + + if (`b_calc'==0) { + b_CCT = h_CCT/`rho' + } + st_numscalar("b_CCT",b_CCT) + } + + *************************************************************************************************** + ******************** IK + ************************************************************************************************** + if ("`bwselect'"=="IK" | "`all'"~="") { + + display("Computing IK bandwidth selector.") + h_pilot_IK = 1.84*sqrt(variance(X))*length(X)^(-1/5) + n_l_h1 = length(select(X_l,X_l:>=`c'-h_pilot_IK)) + n_r_h1 = length(select(X_r,X_r:<=`c'+h_pilot_IK)) + f0_pilot=(n_r_h1+n_l_h1)/(2*`N'*h_pilot_IK) + s2_l_pilot = variance(select(Y_l,X_l:>=`c'-h_pilot_IK)) + s2_r_pilot = variance(select(Y_r,X_r:<=`c'+h_pilot_IK)) + + if (s2_l_pilot==0){ + s2_l_pilot=variance(select(Y_l,X_l:>=`c'-2*h_pilot_IK)) + } + + if (s2_r_pilot==0){ + s2_r_pilot=variance(select(Y_r,X_r:<=`c'+2*h_pilot_IK)) + } + + V_IK_pilot = (s2_r_pilot+s2_l_pilot)/f0_pilot + Vm0_pilot_IK = C2_h*V_IK_pilot + Vm2_pilot_IK = C2_b*V_IK_pilot + Vm3_pilot_IK = C2_q*V_IK_pilot + + * Select Median Sample to compute derivative (as in IK code) + x_IK_med_l = select(X_l,X_l:>=`medX_l'); y_IK_med_l = select(Y_l,X_l:>=`medX_l') + x_IK_med_r = select(X_r,X_r:<=`medX_r'); y_IK_med_r = select(Y_r,X_r:<=`medX_r') + x_IK_med = x_IK_med_r \ x_IK_med_l + y_IK_med = y_IK_med_r \ y_IK_med_l + sample_IK = length(x_IK_med) + X_IK_med_q2 = J(sample_IK, `q3', .) + for (j=1; j<= `q3' ; j++) { + X_IK_med_q2[.,j] = (x_IK_med:-`c'):^(j-1) + } + X_IK_med_q1 = X_IK_med_q2[.,1::`q2'] + * Add cutoff dummy + X_IK_med_q2 = (X_IK_med_q2, x_IK_med:>=c) + X_IK_med_q1 = (X_IK_med_q1, x_IK_med:>=c) + + *** Compute b_IK + * Pilot Bandwidth + N_q_r_pilot_IK = (2*q+3)*C2_q_uni*(s2_r_pilot/f0_pilot) + N_q_l_pilot_IK = (2*q+3)*C2_q_uni*(s2_l_pilot/f0_pilot) + m4_pilot_IK = (invsym(cross(X_IK_med_q2, X_IK_med_q2))*cross(X_IK_med_q2, y_IK_med))[q+3,1] + D_q_pilot_IK = 2*(C1_q_uni*m4_pilot_IK)^2 + h3_r_pilot_IK = (N_q_r_pilot_IK / (N_r*D_q_pilot_IK))^(1/(2*q+5)) + h3_l_pilot_IK = (N_q_l_pilot_IK / (N_l*D_q_pilot_IK))^(1/(2*q+5)) + * Data for derivative + X_lq_IK_h3=select(X_lq1,X_l:>=c-h3_l_pilot_IK); Y_l_IK_h3 =select(Y_l,X_l:>=c-h3_l_pilot_IK) + X_rq_IK_h3=select(X_rq1,X_r:<=c+h3_r_pilot_IK); Y_r_IK_h3 =select(Y_r,X_r:<=c+h3_r_pilot_IK) + m3_l_IK = (invsym(cross(X_lq_IK_h3, X_lq_IK_h3))*cross(X_lq_IK_h3, Y_l_IK_h3))[q+2,1] + m3_r_IK = (invsym(cross(X_rq_IK_h3, X_rq_IK_h3))*cross(X_rq_IK_h3, Y_r_IK_h3))[q+2,1] + D_b_IK = 2*(q-p)*(C1_b*(m3_r_IK - (-1)^(`deriv'+`q'+1)*m3_l_IK))^2 + N_b_IK = (2*p+3)*Vm2_pilot_IK + * Regularization + temp = rdbwselect_2014_regconst(`q1',1) + con = temp[`q2',`q2'] + n_l_h3 = length(Y_l_IK_h3); n_r_h3 = length(Y_r_IK_h3) + r_l_b = (con*s2_l_pilot)/(n_l_h3*h3_l_pilot_IK^(2*`q1')) + r_r_b = (con*s2_r_pilot)/(n_r_h3*h3_r_pilot_IK^(2*`q1')) + R_b_IK = `scaleregul'*2*(q-p)*C1_b^2*3*(r_l_b + r_r_b) + * Final bandwidth: + b_IK = (N_b_IK / (`N'*(D_b_IK + R_b_IK)))^(1/(2*q+3)) + + *** Compute h_IK + * Pilot Bandwidth + N_b_r_pilot_IK = (2*p+3)*C2_b_uni*(s2_r_pilot/f0_pilot) + N_b_l_pilot_IK = (2*p+3)*C2_b_uni*(s2_l_pilot/f0_pilot) + m3_pilot_IK = (invsym(cross(X_IK_med_q1, X_IK_med_q1))*cross(X_IK_med_q1, y_IK_med))[q+2,1] + D_b_pilot_IK = 2*(q-p)*(C1_b_uni*m3_pilot_IK)^2 + h2_l_pilot_IK = (N_b_l_pilot_IK / (N_l*D_b_pilot_IK))^(1/(2*q+3)) + h2_r_pilot_IK = (N_b_r_pilot_IK / (N_r*D_b_pilot_IK))^(1/(2*q+3)) + * Data for derivative + X_lq_IK_h2=select(X_lq,X_l:>=c-h2_l_pilot_IK); Y_l_IK_h2 =select(Y_l,X_l:>=c-h2_l_pilot_IK) + X_rq_IK_h2=select(X_rq,X_r:<=c+h2_r_pilot_IK); Y_r_IK_h2 =select(Y_r,X_r:<=c+h2_r_pilot_IK) + m2_l_IK = (invsym(cross(X_lq_IK_h2, X_lq_IK_h2))*cross(X_lq_IK_h2, Y_l_IK_h2))[p+2,1] + m2_r_IK = (invsym(cross(X_rq_IK_h2, X_rq_IK_h2))*cross(X_rq_IK_h2, Y_r_IK_h2))[p+2,1] + D_h_IK = 2*(`p'+1-`deriv')*(C1_h*(m2_r_IK - (-1)^(`deriv'+`p'+1)*m2_l_IK))^2 + N_h_IK = (2*`deriv'+1)*Vm0_pilot_IK + * Regularization + temp = rdbwselect_2014_regconst(`p1',1) + con = temp[`p2',`p2'] + n_l_h2 = length(Y_l_IK_h2); n_r_h2 = length(Y_r_IK_h2) + r_l_h = (con*s2_l_pilot)/(n_l_h2*h2_l_pilot_IK^(2*`p1')) + r_r_h = (con*s2_r_pilot)/(n_r_h2*h2_r_pilot_IK^(2*`p1')) + R_h_IK = `scaleregul'*2*(`p'+1-`deriv')*C1_h^2*3*(r_l_h + r_r_h) + * Final bandwidth + h_IK = (N_h_IK / (`N'*(D_h_IK + R_h_IK)))^(1/(2*p+3)) + + *** DJMC (not documented) + D_h_DM = 2*(`p'+1-`deriv')*C1_h^2*(m2_r_IK^2 + m2_l_IK^2) + D_b_DM = 2*(`q'-`p')*C1_b^2*(m3_r_IK^2 + m3_l_IK^2) + h_DM = (N_h_IK / (`N'*D_h_DM))^(1/(2*`p'+3)) + b_DM = (N_b_IK / (`N'*D_b_DM))^(1/(2*`q'+3)) + + st_numscalar("h_IK", h_IK) + st_numscalar("b_IK", b_IK) + + if (`b_calc'==0) { + b_IK = h_IK/`rho' + } + st_numscalar("b_IK",b_IK) + } + + ********************************************************************* + ********************************** C-V ***************************** + ********************************************************************* + if ("`bwselect'"=="CV" | "`all'"~="") { + + display("Computing CV bandwidth selector.") + v_CV_l = 0;w_CV_l = 0 + minindex(X_l, `N_l', v_CV_l, w_CV_l) + x_sort_l = X_l[v_CV_l];y_sort_l = Y_l[v_CV_l] + v_CV_r = 0;w_CV_r = 0 + maxindex(X_r, `N_r', v_CV_r, w_CV_r) + x_sort_r = X_r[v_CV_r];y_sort_r = Y_r[v_CV_r] + h_CV_min = 0 + if (`N_r'>20 & `N_l'>20){ + h_CV_min = min((abs(x_sort_r[`N_r']-x_sort_r[`N_r'-20]),abs(x_sort_l[`N_l']-x_sort_l[`N_l'-20]))) + } + h_CV_max = min((abs(x_sort_r[1]-x_sort_r[`N_r']),abs(x_sort_l[1]-x_sort_l[`N_l']))) + h_CV_jump = min((abs(x_sort_r[1]-x_sort_r[`N_r'])/10,abs(x_sort_l[1]-x_sort_l[`N_l']))/10) + st_numscalar("h_CV_min", h_CV_min[1,1]) + st_numscalar("h_CV_max", h_CV_max[1,1]) + st_numscalar("h_CV_jump", h_CV_jump[1,1]) + if ("`cvgrid_min'"=="0") { + cvgrid_min = h_CV_min + } + else if ("`cvgrid_min'"!="0") { + cvgrid_min = `cvgrid_min' + } + if ("`cvgrid_max'"=="0") { + cvgrid_max = h_CV_max + } + else if ("`cvgrid_max'"!="0") { + cvgrid_max = `cvgrid_max' + } + if ("`cvgrid_length'"=="0") { + cvgrid_length = abs(cvgrid_max-cvgrid_min)/20 + } + else if ("`cvgrid_length'"!="0") { + cvgrid_length = `cvgrid_length' + } + if (cvgrid_min>=cvgrid_max){ + cvgrid_min = 0 + } + st_numscalar("cvgrid_min", cvgrid_min) + st_numscalar("cvgrid_max", cvgrid_max) + st_numscalar("cvgrid_length", cvgrid_length) + h_CV_seq = range(cvgrid_min, cvgrid_max, cvgrid_length) + s_CV = length(h_CV_seq) + CV_l = CV_r = J(1, s_CV, 0) + n_CV_l = round(`delta'*`N_l')-3 + n_CV_r = round(`delta'*`N_r')-3 + + for (v=1; v<=s_CV; v++) { + for (k=0; k<=n_CV_l; k++) { + ind_l = `N_l'-k-1 + x_CV_sort_l = x_sort_l[1::ind_l] + y_CV_sort_l = y_sort_l[1::ind_l] + w_CV_sort_l = rdbwselect_2014_kweight(x_CV_sort_l,x_sort_l[ind_l+1],h_CV_seq[v],"`kernel'") + x_CV_l = select(x_CV_sort_l,w_CV_sort_l:>0) + y_CV_l = select(y_CV_sort_l,w_CV_sort_l:>0) + w_CV_l = select(w_CV_sort_l,w_CV_sort_l:>0) + XX_CV_l = J(length(w_CV_l),`p1',.) + for (j=1; j<=`p1'; j++) { + XX_CV_l[.,j] = (x_CV_l :- x_sort_l[ind_l+1]):^(j-1) + } + y_CV_hat_l = (invsym(cross(XX_CV_l,w_CV_l,XX_CV_l))*cross(XX_CV_l,w_CV_l,y_CV_l))[1] + mse_CV_l = (y_sort_l[ind_l+1] - y_CV_hat_l)^2 + CV_l[v] = CV_l[v] + mse_CV_l + } + for (k=0; k<=n_CV_r; k++) { + ind_r = `N_r'-k-1 + x_CV_sort_r = x_sort_r[1::ind_r] + y_CV_sort_r = y_sort_r[1::ind_r] + w_CV_sort_r = rdbwselect_2014_kweight(x_CV_sort_r,x_sort_r[ind_r+1],h_CV_seq[v],"`kernel'") + x_CV_r = select(x_CV_sort_r,w_CV_sort_r:>0) + y_CV_r = select(y_CV_sort_r,w_CV_sort_r:>0) + w_CV_r = select(w_CV_sort_r,w_CV_sort_r:>0) + XX_CV_r = J(length(w_CV_r),`p1',.) + + for (j=1; j<= `p1' ; j++) { + XX_CV_r[.,j] = (x_CV_r :- x_sort_r[ind_r+1]):^(j-1) + } + + y_CV_hat_r = (invsym(cross(XX_CV_r,w_CV_r,XX_CV_r))*cross(XX_CV_r,w_CV_r,y_CV_r))[1] + mse_CV_r = (y_sort_r[ind_r+1] - y_CV_hat_r)^2 + CV_r[v] = CV_r[v] + mse_CV_r + } + } + + CV_sum = CV_l + CV_r + CV_sum_order = order(abs(CV_sum'),1) + h_CV = h_CV_seq[CV_sum_order] + h_CV = h_CV[1,1] + + if (`b_calc'==0) { + b_CV = h_CV/`rho' + } + st_numscalar("h_CV", h_CV) + st_numscalar("b_CV", b_CV) + } + } + + ******************************************************************************* + + disp "" + disp in smcl in gr "Bandwidth estimators for RD local polynomial regression" + disp "" + disp "" + disp in smcl in gr "{ralign 21: Cutoff c = `c'}" _col(22) " {c |} " _col(23) in gr "Left of " in yellow "c" _col(36) in gr "Right of " in yellow "c" _col(61) in gr "Number of obs = " in yellow %10.0f `N_l'+`N_r' + disp in smcl in gr "{hline 22}{c +}{hline 22}" _col(61) in gr "NN matches = " in yellow %10.0f `matches' + disp in smcl in gr "{ralign 21:Number of obs}" _col(22) " {c |} " _col(23) as result %9.0f `N_l' _col(37) %9.0f `N_r' _col(61) in gr "Kernel type = " in yellow "{ralign 10:`kernel_type'}" + if ("`all'"=="" & "`bwselect'"!="CV") { + disp in smcl in gr "{ralign 21:Order loc. poly. (p)}" _col(22) " {c |} " _col(23) as result %9.0f `p' _col(37) %9.0f `p' + disp in smcl in gr "{ralign 21:Order bias (q)}" _col(22) " {c |} " _col(23) as result %9.0f `q' _col(37) %9.0f `q' + disp in smcl in gr "{ralign 21:Range of `x'}" _col(22) " {c |} " _col(23) as result %9.3f `range_l' _col(37) %9.3f `range_r' + } + if ("`bwselect'"=="CV" | "`all'"!="") { + disp in smcl in gr "{ralign 21:Order loc. poly. (p)}" _col(22) " {c |} " _col(23) as result %9.0f `p' _col(37) %9.0f `p' _col(61) in gr "Min BW grid = " in yellow %10.5f cvgrid_min + disp in smcl in gr "{ralign 21:Order bias (q)}" _col(22) " {c |} " _col(23) as result %9.0f `q' _col(37) %9.0f `q' _col(61) in gr "Max BW grid = " in yellow %10.5f cvgrid_max + disp in smcl in gr "{ralign 21:Range of `x'}" _col(22) " {c |} " _col(23) as result %9.3f `range_l' _col(37) %9.3f `range_r' _col(61) in gr "Length BW grid = " in yellow %10.5f cvgrid_length + } + + disp "" + disp in smcl in gr "{hline 10}{c TT}{hline 35}" + disp in smcl in gr "{ralign 9:Method}" _col(10) " {c |} " _col(18) "h" _col(30) "b" _col(41) "rho" _n "{hline 10}{c +}{hline 35}" + if ("`bwselect'"=="IK") { + disp in smcl in gr "{ralign 9:IK }" _col(10) " {c |} " _col(11) in ye %9.0g h_IK _col(25) in ye %9.0g b_IK _col(38) in ye %9.0g h_IK/b_IK + } + if ("`bwselect'"=="CV") { + disp in smcl in gr "{ralign 9:CV }" _col(10) " {c |} " _col(11) in ye %9.0g h_CV _col(30) in ye "NA" _col(42) in ye %9.0g "NA" + } + if ("`all'"~="") { + disp in smcl in gr "{ralign 9:CCT}" _col(10) " {c |} " _col(11) in ye %9.0g h_CCT _col(25) in ye %9.0g b_CCT _col(38) in ye %9.0g h_CCT/b_CCT + disp in smcl in gr "{ralign 9:IK}" _col(10) " {c |} " _col(11) in ye %9.0g h_IK _col(25) in ye %9.0g b_IK _col(38) in ye %9.0g h_IK/b_IK + disp in smcl in gr "{ralign 9:CV}" _col(10) " {c |} " _col(11) in ye %9.0g h_CV _col(30) in ye "NA" _col(42) in ye "NA" + } + if ("`bwselect'"=="" & "`all'"=="") | ("`bwselect'"=="CCT" & "`all'"=="") { + disp in smcl in gr "{ralign 9:CCT}" _col(10) " {c |} " _col(11) in ye %9.0g h_CCT _col(25) in ye %9.0g b_CCT _col(38) in ye %9.0g h_CCT/b_CCT + } + disp in smcl in gr "{hline 10}{c BT}{hline 35}" + + if ("`bwselect'"=="CV" & "`cvplot'"!="" | "`all'"!="" & "`cvplot'"!="") { + local h_CV= h_CV + mata rdbwselect_2014_cvplot(CV_sum', h_CV_seq, "xtitle(Grid of bandwidth (h)) ytitle(Cross-Validation objective function) c(l) ylabel(none) xline(`h_CV') title(Cross-Validation objective function)") + } + + restore + ereturn clear + ereturn scalar N_l = `N_l' + ereturn scalar N_r = `N_r' + ereturn scalar c = `c' + ereturn scalar p = `p' + ereturn scalar q = `q' + + if ("`bwselect'"=="CCT" | "`bwselect'"=="" | "`all'"~="") { + ereturn scalar h_CCT = h_CCT + ereturn scalar b_CCT = b_CCT + *ereturn scalar q_CCT = q_CCT + } + if ("`bwselect'"=="IK" | "`all'"~="") { + ereturn scalar h_IK = h_IK + ereturn scalar b_IK = b_IK + *ereturn scalar h_djmc = `h_DJMC' + *ereturn scalar b_djmc = `b_DJMC' + } + if ("`bwselect'"=="CV" | "`all'"~="") { + ereturn scalar h_CV = h_CV + *ereturn scalar b_CV = b_cv + } + + mata mata clear + +end + + diff --git a/30/replication_package/Adofiles/rd_2021/rdbwselect_2014.sthlp b/30/replication_package/Adofiles/rd_2021/rdbwselect_2014.sthlp new file mode 100644 index 0000000000000000000000000000000000000000..f5fa9c343f76e3a3ac7b9acf29dc5c5c89af456d --- /dev/null +++ b/30/replication_package/Adofiles/rd_2021/rdbwselect_2014.sthlp @@ -0,0 +1,135 @@ +{smcl} +{* *! version 6.0 2014-10-14}{...} +{viewerjumpto "Syntax" "rdbwselect##syntax"}{...} +{viewerjumpto "Description" "rdbwselect##description"}{...} +{viewerjumpto "Options" "rdbwselect##options"}{...} +{viewerjumpto "Examples" "rdbwselect##examples"}{...} +{viewerjumpto "Saved results" "rdbwselect##saved_results"}{...} + +{title:Title} + +{p 4 8}{cmd:rdbwselect_2014} {hline 2} Deprecated Bandwidth Selection Procedures for Local-Polynomial Regression-Discontinuity Estimators.{p_end} + +{p 4 8}{ul:Important}: this command is no longer supported or updated, and it is made available only for backward compatibility purposes. Please use {help rdbwselect:rdbwselect} instead.{p_end} + + +{marker syntax}{...} +{title:Syntax} + +{p 4 8}{cmd:rdbwselect_2014} {it:depvar} {it:indepvar} {ifin} +[{cmd:,} +{cmd:c(}{it:#}{cmd:)} +{cmd:p(}{it:#}{cmd:)} +{cmd:q(}{it:#}{cmd:)} +{cmd:deriv(}{it:#}{cmd:)} +{cmd:rho(}{it:#}{cmd:)} +{cmd:kernel(}{it:kernelfn}{cmd:)} +{cmd:bwselect(}{it:bwmethod}{cmd:)} +{cmd:scaleregul(}{it:#}{cmd:)} +{cmd:delta(}{it:#}{cmd:)} +{cmd:cvgrid_min(}{it:#}{cmd:)} +{cmd:cvgrid_max(}{it:#}{cmd:)} +{cmd:cvgrid_length(}{it:#}{cmd:)} +{cmd:cvplot} +{cmd:vce(}{it:vcemethod}{cmd:)} +{cmd:matches(}{it:#}{cmd:)} +{cmd:all} +]{p_end} + +{synoptset 28 tabbed}{...} + +{marker description}{...} +{title:Description} + +{p 4 8}{cmd:rdbwselect_2014} is a deprecated command implementing three bandwidth selectors for local polynomial Regression Discontinuity (RD) point estimators and inference procedures, as described in +{browse "https://sites.google.com/site/rdpackages/rdrobust/Calonico-Cattaneo-Titiunik_2014_Stata.pdf":Calonico, Cattaneo and Titiunik (2014)}. +This command is no longer supported or updated, and it is made available only for backward compatibility purposes.{p_end} +{p 8 8}This command uses compiled MATA functions given in +{it:rdbwselect_2014_functions.do}.{p_end} + +{p 4 8}The latest version of the {cmd:rdrobust} package includes the following commands:{p_end} +{p 8 8}{help rdrobust:rdrobust} for point estimation and inference procedures.{p_end} +{p 8 8}{help rdbwselect:rdbwselect} for data-driven bandwidth selection.{p_end} +{p 8 8}{help rdplot:rdplot} for data-driven RD plots.{p_end} + +{p 4 8}For more details, and related Stata and R packages useful for analysis of RD designs, visit: +{browse "https://sites.google.com/site/rdpackages/"}{p_end} + + +{marker options}{...} +{title:Options} + +{p 4 8}{cmd:c(}{it:#}{cmd:)} specifies the RD cutoff in {it:indepvar}. +Default is {cmd:c(0)}. + +{p 4 8}{cmd:p(}{it:#}{cmd:)} specifies the order of the local-polynomial used to construct the point estimator. +Default is {cmd:p(1)} (local linear regression). + +{p 4 8}{cmd:q(}{it:#}{cmd:)} specifies the order of the local-polynomial used to construct the bias-correction. +Default is {cmd:q(2)} (local quadratic regression). + +{p 4 8}{cmd:deriv(}{it:#}{cmd:)} specifies the order of the derivative of the regression functions to be estimated. +Default is {cmd:deriv(0)} (Sharp RD, or Fuzzy RD if {cmd:fuzzy(.)} is also specified). Setting {cmd:deriv(1)} results in estimation of a Kink RD design (up to scale), or Fuzzy Kink RD if {cmd:fuzzy(.)} is also specified. + +{p 4 8}{cmd:rho(}{it:#}{cmd:)} if specified, sets the pilot bandwidth {it:b} equal to {it:h}/{it:rho}, where {it:h} is computed using the method and options chosen below. + +{p 4 8}{cmd:kernel(}{it:kernelfn}{cmd:)} specifies the kernel function used to construct the local-polynomial estimator(s). Options are: {opt tri:angular}, {opt epa:nechnikov}, and {opt uni:form}. +Default is {opt triangular}. + +{p 4 8}{cmd:bwselect(}{it:bwmethod}{cmd:)} specifies the bandwidth selection procedure to be used. By default it computes both {it:h} and {it:b}, unless {it:rho} is specified, in which case it only computes {it:h} and sets {it:b}={it:h}/{it:rho}. +Options are:{p_end} +{p 8 12}{opt CCT} for bandwidth selector proposed by Calonico, Cattaneo and Titiunik (2014a). This is the default option.{p_end} +{p 8 12}{opt IK} for bandwidth selector proposed by Imbens and Kalyanaraman (2012) (only available for Sharp RD design).{p_end} +{p 8 12}{opt CV} for cross-validation method proposed by Ludwig and Miller (2007) (only available for Sharp RD design).{p_end} + +{p 4 8}{cmd:scaleregul(}{it:#}{cmd:)} specifies scaling factor for the regularization terms of {opt CCT} and {opt IK} bandwidth selectors. Setting {cmd:scaleregul(0)} removes the regularization term from the bandwidth selectors. +Default is {cmd:scaleregul(1)}. + +{p 4 8}{cmd:delta(}{it:#}{cmd:)} specifies the quantile that defines the sample used in the cross-validation procedure. This option is used only if {cmd:bwselect(}{opt CV}{cmd:)} is specified. +Default is {cmd:delta(0.5)}, that is, the median of the control and treated subsamples. + +{p 4 8}{cmd:cvgrid_min(}{it:#}{cmd:)} specifies the minimum value of the bandwidth grid used in the cross-validation procedure. This option is used only if {cmd:bwselect(}{opt CV}{cmd:)} is specified. + +{p 4 8}{cmd:cvgrid_max(}{it:#}{cmd:)} specifies the maximum value of the bandwidth grid used in the cross-validation procedure. This option is used only if {cmd:bwselect(}{opt CV}{cmd:)} is specified. + +{p 4 8}{cmd:cvgrid_length(}{it:#}{cmd:)} specifies the bin length of the (evenly-spaced) bandwidth grid used in the cross-validation procedure. This option is used only if {cmd:bwselect(}{opt CV}{cmd:)} is specified. + +{p 4 8}{cmd:cvplot} if specified, {cmd:rdbwselect} also reports a graph of the CV objective function. This option is used only if {cmd:bwselect(}{opt CV}{cmd:)} is specified. + +{p 4 8}{cmd:vce(}{it:vcemethod}{cmd:)} specifies the procedure used to compute the variance-covariance matrix estimator. This option is used only if {opt CCT} or {opt IK} bandwidth procedures are used. +Options are:{p_end} +{p 8 12}{opt nn} for nearest-neighbor matches residuals using {cmd:matches(}{it:#}{cmd:)} matches. This is the default option (with {cmd:matches(3)}, see below).{p_end} +{p 8 12}{opt resid} for estimated plug-in residuals using {it:h} bandwidth.{p_end} + +{p 4 8}{cmd:matches(}{it:#}{cmd:)} specifies the number of matches in the nearest-neighbor based variance-covariance matrix estimator. This option is used only when nearest-neighbor matches residuals are employed. +Default is {cmd:matches(3)}. + +{p 4 8}{cmd:all} if specified, {cmd:rdbwselect} reports three different procedures:{p_end} +{p 8 12}{opt CCT} for bandwidth selector proposed by Calonico, Cattaneo and Titiunik (2014).{p_end} +{p 8 12}{opt IK} for bandwidth selector proposed by Imbens and Kalyanaraman (2012).{p_end} +{p 8 12}{opt CV} for cross-validation method proposed by Ludwig and Miller (2007).{p_end} + + {hline} + + +{title:References} + +{p 4 8}Calonico, S., Cattaneo, M. D., and R. Titiunik. 2014. Robust Data-Driven Inference in the Regression-Discontinuity Design. {it:Stata Journal} 14(4): 909-946. +{browse "https://sites.google.com/site/rdpackages/rdrobust/Calonico-Cattaneo-Titiunik_2014_Stata.pdf"}. + + +{title:Authors} + +{p 4 8}Sebastian Calonico, Columbia University, New York, NY. +{browse "mailto:sebastian.calonico@columbia.edu":sebastian.calonico@columbia.edu}.{p_end} + +{p 4 8}Matias D. Cattaneo, Princeton University, Princeton, NJ. +{browse "mailto:cattaneo@princeton.edu":cattaneo@princeton.edu}.{p_end} + +{p 4 8}Max H. Farrell, University of Chicago, Chicago, IL. +{browse "mailto:max.farrell@chicagobooth.edu":max.farrell@chicagobooth.edu}.{p_end} + +{p 4 8}Rocio Titiunik, Princeton University, Princeton, NJ. +{browse "mailto:titiunik@princeton.edu":titiunik@princeton.edu}.{p_end} + + diff --git a/30/replication_package/Adofiles/rd_2021/rdbwselect_2014_cvplot.mo b/30/replication_package/Adofiles/rd_2021/rdbwselect_2014_cvplot.mo new file mode 100644 index 0000000000000000000000000000000000000000..4ce7656cb250ece1e3c1421a7c2702db8a538c8d Binary files /dev/null and b/30/replication_package/Adofiles/rd_2021/rdbwselect_2014_cvplot.mo differ diff --git a/30/replication_package/Adofiles/rd_2021/rdbwselect_2014_kconst.ado b/30/replication_package/Adofiles/rd_2021/rdbwselect_2014_kconst.ado new file mode 100644 index 0000000000000000000000000000000000000000..3f4d6755c97aa82f9d1716103d12557878645569 --- /dev/null +++ b/30/replication_package/Adofiles/rd_2021/rdbwselect_2014_kconst.ado @@ -0,0 +1,885 @@ +*!version 6.0 2014-10-14 + +capture program drop rdbwselect_2014_kconst +program define rdbwselect_2014_kconst, eclass + syntax anything + + tokenize "`anything'" + local p1 `1' + local p2 `2' + local kid `3' + + + if (`kid'==1) { + if (`p1'==0){ + if (`p2'==0) { + local C1=0.333333333333333 + local C2=1.33333333333333 + } + } + if (`p1'==1){ + if (`p2'==0) { + local C1=-0.1 + local C2=4.8 + } + if (`p2'==1) { + local C1=0.8 + local C2=19.2 + } + } + if (`p1'==2){ + if (`p2'==0) { + local C1=0.0285714285714287 + local C2=10.2857142857143 + } + if (`p2'==1) { + local C1=-0.428571428571427 + local C2=274.285714285714 + } + if (`p2'==2) { + local C1=1.28571428571428 + local C2=308.571428571429 + } + } + if (`p1'==3){ + if (`p2'==0) { + local C1=-0.00793650793649814 + local C2=17.7777777777783 + } + if (`p2'==1) { + local C1=0.190476190476176 + local C2=1600.00000000012 + } + if (`p2'==2) { + local C1=-1.00000000000003 + local C2=10080.0000000008 + } + if (`p2'==3) { + local C1=1.77777777777777 + local C2=4977.77777777821 + } + } + if (`p1'==4){ + if (`p2'==0) { + local C1=0.00216450216449893 + local C2=27.2727272727347 + } + if (`p2'==1) { + local C1=-0.0757575757576774 + local C2=6109.0909090921 + } + if (`p2'==2) { + local C1=0.606060606059373 + local C2=115461.818181807 + } + if (`p2'==3) { + local C1=-1.81818181818016 + local C2=293236.363636312 + } + if (`p2'==4) { + local C1=2.27272727272634 + local C2=80181.8181817951 + } + } + if (`p1'==5){ + if (`p2'==0) { + local C1=-0.000582750584072755 + local C2=38.7692307691143 + } + if (`p2'==1) { + local C1=0.0279720279806952 + local C2=18092.3076921598 + } + if (`p2'==2) { + local C1=-0.314685314702729 + local C2=781587.692308313 + } + if (`p2'==3) { + local C1=1.39860139862503 + local C2=5582769.23070759 + } + if (`p2'==4) { + local C1=-2.88461538463889 + local C2=7463076.92303863 + } + if (`p2'==5) { + local C1=2.76923076923777 + local C2=1289619.69231728 + } + } + if (`p1'==6){ + if (`p2'==0) { + local C1=0.000155400158703856 + local C2=52.2666666813375 + } + if (`p2'==1) { + local C1=-0.00979020967770339 + local C2=45158.4000232623 + } + if (`p2'==2) { + local C1=0.146853146718058 + local C2=3810240.00305634 + } + if (`p2'==3) { + local C1=-0.897435898077674 + local C2=59136000.0516687 + } + if (`p2'==4) { + local C1=2.69230769423302 + local C2=213444000.281064 + } + if (`p2'==5) { + local C1=-4.20000000228174 + local C2=174356582.583545 + } + if (`p2'==6) { + local C1=3.266666667565 + local C2=20718297.6275418 + } + } + if (`p1'==7){ + if (`p2'==0) { + local C1=-4.11365348327308e-05 + local C2=67.7647062980167 + } + if (`p2'==1) { + local C1=0.00329083788165008 + local C2=99614.1186678147 + } + if (`p2'==2) { + local C1=-0.0633484429563396 + local C2=14792696.6380086 + } + if (`p2'==3) { + local C1=0.506787375546992 + local C2=430475298.36917 + } + if (`p2'==4) { + local C1=-2.05882356315851 + local C2=3264437686.45156 + } + if (`p2'==5) { + local C1=4.61176469177008 + local C2=6999904063.30826 + } + if (`p2'==6) { + local C1=-5.76470586378127 + local C2=3838978717.71456 + } + if (`p2'==7) { + local C1=3.76470587169752 + local C2=332572914.642903 + } + } + if (`p1'==8){ + if (`p2'==0) { + local C1=1.07820976609219e-05 + local C2=85.2631303268003 + } + if (`p2'==1) { + local C1=-0.0010711795912357 + local C2=200084.040818939 + } + if (`p2'==2) { + local C1=0.0257188626565039 + local C2=48530367.293081 + } + if (`p2'==3) { + local C1=-0.260059123858809 + local C2=2403408146.73831 + } + if (`p2'==4) { + local C1=1.36532014608383 + local C2=33224189297.6117 + } + if (`p2'==5) { + local C1=-4.09596675634384 + local C2=146138075172.791 + } + if (`p2'==6) { + local C1=7.2817234992981 + local C2=206092142381.58 + } + if (`p2'==7) { + local C1=-7.57894077897072 + local C2=80937582484.7007 + } + if (`p2'==8) { + local C1=4.2631561756134 + local C2=5335240470.92272 + } + } + if (`p1'==9){ + if (`p2'==0) { + local C1=-4.34125468018465e-06 + local C2=104.759683619607 + } + if (`p2'==1) { + local C1=0.000359364319592714 + local C2=373351.594641908 + } + if (`p2'==2) { + local C1=-0.0100117437541485 + local C2=139779902.485658 + } + if (`p2'==3) { + local C1=0.123909175395966 + local C2=10992402108.5829 + } + if (`p2'==4) { + local C1=-0.812669515609741 + local C2=252479011669.66 + } + if (`p2'==5) { + local C1=3.12047624588013 + local C2=1983097707753.03 + } + if (`p2'==6) { + local C1=-7.36788511276245 + local C2=5634749358454.49 + } + if (`p2'==7) { + local C1=10.8265118598938 + local C2=5601398362056.87 + } + if (`p2'==8) { + local C1=-9.64254522323608 + local C2=1650683628680.73 + } + if (`p2'==9) { + local C1=4.76183295249939 + local C2=85540403080.8251 + } + } + if (`p1'==10){ + if (`p2'==0) { + local C1=-5.92561264056712e-07 + local C2=126.173458124805 + } + if (`p2'==1) { + local C1=2.24271789193153e-05 + local C2=655457.487684009 + } + if (`p2'==2) { + local C1=0.00358942896127701 + local C2=362125556.143413 + } + if (`p2'==3) { + local C1=-0.057509183883667 + local C2=42895674678.736 + } + if (`p2'==4) { + local C1=0.448391914367676 + local C2=1532214531495.65 + } + if (`p2'==5) { + local C1=-2.11321067810059 + local C2=19636178554116.5 + } + if (`p2'==6) { + local C1=6.33000183105469 + local C2=98056668493842 + } + if (`p2'==7) { + local C1=-12.2766418457031 + local C2=193660165481737 + } + if (`p2'==8) { + local C1=15.3532409667969 + local C2=142664371644737 + } + if (`p2'==9) { + local C1=-11.9469718933105 + local C2=32680235535116.8 + } + if (`p2'==10) { + local C1=5.25889778137207 + local C2=1366106680644.88 + } + } + } + if (`kid'==2) { + if (`p1'==0){ + if (`p2'==0) { + local C1=0.5 + local C2=1 + } + } + if (`p1'==1){ + if (`p2'==0) { + local C1=-0.166666666666666 + local C2=4 + } + if (`p2'==1) { + local C1=0.999999999999999 + local C2=12 + } + } + if (`p1'==2){ + if (`p2'==0) { + local C1=0.0499999999999927 + local C2=8.99999999999989 + } + if (`p2'==1) { + local C1=-0.599999999999969 + local C2=191.999999999998 + } + if (`p2'==2) { + local C1=1.49999999999998 + local C2=179.999999999997 + } + } + if (`p1'==3){ + if (`p2'==0) { + local C1=-0.0142857142856023 + local C2=15.9999999999967 + } + if (`p2'==1) { + local C1=0.285714285713908 + local C2=1199.99999999958 + } + if (`p2'==2) { + local C1=-1.28571428571377 + local C2=6479.99999999822 + } + if (`p2'==3) { + local C1=1.99999999999972 + local C2=2799.99999999933 + } + } + if (`p1'==4){ + if (`p2'==0) { + local C1=0.00396825396776279 + local C2=24.999999999904 + } + if (`p2'==1) { + local C1=-0.119047619048388 + local C2=4799.99999999096 + } + if (`p2'==2) { + local C1=0.83333333333394 + local C2=79379.9999999445 + } + if (`p2'==3) { + local C1=-2.22222222222626 + local C2=179199.999999687 + } + if (`p2'==4) { + local C1=2.50000000000273 + local C2=44099.9999998837 + } + } + if (`p1'==5){ + if (`p2'==0) { + local C1=-0.00108225108795068 + local C2=36.0000000009544 + } + if (`p2'==1) { + local C1=0.0454545455922926 + local C2=14700.0000007333 + } + if (`p2'==2) { + local C1=-0.454545454842446 + local C2=564480.000082575 + } + if (`p2'==3) { + local C1=1.81818181864219 + local C2=3628800.00023153 + } + if (`p2'==4) { + local C1=-3.40909090952482 + local C2=4410000.00041152 + } + if (`p2'==5) { + local C1=3.00000000013097 + local C2=698544.000095851 + } + } + if (`p1'==6){ + if (`p2'==0) { + local C1=0.000291375558163054 + local C2=49.0000000807229 + } + if (`p2'==1) { + local C1=-0.0163170211235411 + local C2=37632.0000808351 + } + if (`p2'==2) { + local C1=0.2202797360369 + local C2=2857680.00223594 + } + if (`p2'==3) { + local C1=-1.22377624921501 + local C2=40320000.092693 + } + if (`p2'==4) { + local C1=3.36538464389741 + local C2=133402500.284745 + } + if (`p2'==5) { + local C1=-4.84615386696532 + local C2=100590336.250403 + } + if (`p2'==6) { + local C1=3.5000000068685 + local C2=11099088.0082191 + } + } + if (`p1'==7){ + if (`p2'==0) { + local C1=-7.77092654971057e-05 + local C2=64.0000038038176 + } + if (`p2'==1) { + local C1=0.0055944790947251 + local C2=84672.0058301801 + } + if (`p2'==2) { + local C1=-0.0979024390690029 + local C2=11430721.0463556 + } + if (`p2'==3) { + local C1=0.717949407175183 + local C2=304920057.289328 + } + if (`p2'==4) { + local C1=-2.69230864942074 + local C2=2134440363.92093 + } + if (`p2'==5) { + local C1=5.60000113397837 + local C2=4249942482.73742 + } + if (`p2'==6) { + local C1=-6.53333409875631 + local C2=2175421444.25063 + } + if (`p2'==7) { + local C1=4.00000020302832 + local C2=176679380.680557 + } + } + if (`p1'==8){ + if (`p2'==0) { + local C1=2.18183413380757e-05 + local C2=81.0000794511867 + } + if (`p2'==1) { + local C1=-0.00185953138861805 + local C2=172800.541412919 + } + if (`p2'==2) { + local C1=0.0407402217388153 + local C2=38420009.7178256 + } + if (`p2'==3) { + local C1=-0.380106568336487 + local C2=1756346185.84028 + } + if (`p2'==4) { + local C1=1.85295575857162 + local C2=22545053348.8166 + } + if (`p2'==5) { + local C1=-5.1882472038269 + local C2=92554313087.018 + } + if (`p2'==6) { + local C1=8.64706671237946 + local C2=122367438459.692 + } + if (`p2'==7) { + local C1=-8.47059142589569 + local C2=45230142568.556 + } + if (`p2'==8) { + local C1=4.50000092387199 + local C2=2815835708.811 + } + } + if (`p1'==9){ + if (`p2'==0) { + local C1=4.68557118438184e-06 + local C2=100.001152185784 + } + if (`p2'==1) { + local C1=0.000529960263520479 + local C2=326698.901377387 + } + if (`p2'==2) { + local C1=-0.0157094746828079 + local C2=112913004.163799 + } + if (`p2'==3) { + local C1=0.18475353717804 + local C2=8245154393.28242 + } + if (`p2'==4) { + local C1=-1.13636112213135 + local C2=176755900163.269 + } + if (`p2'==5) { + local C1=4.09473609924316 + local C2=1301601790390.11 + } + if (`p2'==6) { + local C1=-9.10118865966797 + local C2=3480802183163.29 + } + if (`p2'==7) { + local C1=12.6308746337891 + local C2=3267931174533.81 + } + if (`p2'==8) { + local C1=-10.6575126647949 + local C2=912326437703.479 + } + if (`p2'==9) { + local C1=4.99992036819458 + local C2=44916975840.9114 + } + } + if (`p1'==10){ + if (`p2'==0) { + local C1=0.000199975620489568 + local C2=120.969780523265 + } + if (`p2'==1) { + local C1=-0.0060248076915741 + local C2=580633.742406933 + } + if (`p2'==2) { + local C1=0.0271593332290649 + local C2=298292189.248646 + } + if (`p2'==3) { + local C1=-0.118029594421387 + local C2=32946394271.3983 + } + if (`p2'==4) { + local C1=0.678001403808594 + local C2=1103315909981.8 + } + if (`p2'==5) { + local C1=-2.8924560546875 + local C2=13331592042473 + } + if (`p2'==6) { + local C1=8.1068115234375 + local C2=62878798430702.7 + } + if (`p2'==7) { + local C1=-14.8649291992188 + local C2=117374454020910 + } + if (`p2'==8) { + local C1=17.6541748046875 + local C2=82487887927301 + } + if (`p2'==9) { + local C1=-13.0838928222656 + local C2=17947030260316.1 + } + if (`p2'==10) { + local C1=5.49765396118164 + local C2=715867764128.387 + } + } + } + if (`kid'==3) { + if (`p1'==0){ + if (`p2'==0) { + local C1=0.375 + local C2=1.2 + } + } + if (`p1'==1){ + if (`p2'==0) { + local C1=-0.115789473684211 + local C2=4.49798179659677 + } + if (`p2'==1) { + local C1=0.842105263157895 + local C2=16.7154728927583 + } + } + if (`p1'==2){ + if (`p2'==0) { + local C1=0.033482142857143 + local C2=9.81646825396846 + } + if (`p2'==1) { + local C1=-0.464285714285726 + local C2=246.349206349214 + } + if (`p2'==2) { + local C1=1.32812500000002 + local C2=266.631944444454 + } + } + if (`p1'==3){ + if (`p2'==0) { + local C1=-0.00936222792511199 + local C2=17.1423583607642 + } + if (`p2'==1) { + local C1=0.2102461743182 + local C2=1465.2713806652 + } + if (`p2'==2) { + local C1=-1.05655355954787 + local C2=8911.29621722357 + } + if (`p2'==3) { + local C1=1.82035928143731 + local C2=4288.56473226901 + } + } + if (`p1'==4){ + if (`p2'==0) { + local C1=0.00256405887983036 + local C2=26.471726419711 + } + if (`p2'==1) { + local C1=-0.0847303620927278 + local C2=5670.24522674757 + } + if (`p2'==2) { + local C1=0.651151696880333 + local C2=103766.558129494 + } + if (`p2'==3) { + local C1=-1.89587024669527 + local C2=257166.288749527 + } + if (`p2'==4) { + local C1=2.31540479760156 + local C2=68979.7265596946 + } + } + if (`p1'==5){ + if (`p2'==0) { + local C1=-0.000692327266378356 + local C2=37.8030101065867 + } + if (`p2'==1) { + local C1=0.0315930338813359 + local C2=16958.7194854538 + } + if (`p2'==2) { + local C1=-0.342512696563062 + local C2=711237.176273326 + } + if (`p2'==3) { + local C1=1.47962261931389 + local C2=4964148.04675615 + } + if (`p2'==4) { + local C1=-2.98356568117015 + local C2=6513914.18146154 + } + if (`p2'==5) { + local C1=2.8119664051992 + local C2=1108538.27359325 + } + } + if (`p1'==6){ + if (`p2'==0) { + local C1=0.000185013186126071 + local C2=51.1354623094499 + } + if (`p2'==1) { + local C1=-0.0111415456649411 + local C2=42649.1227734126 + } + if (`p2'==2) { + local C1=0.161503519528196 + local C2=3501503.85604356 + } + if (`p2'==3) { + local C1=-0.960724128526635 + local C2=53169992.4514926 + } + if (`p2'==4) { + local C1=2.81992441765033 + local C2=188508235.652391 + } + if (`p2'==5) { + local C1=-4.32027687039226 + local C2=151705648.524794 + } + if (`p2'==6) { + local C1=3.30943989104708 + local C2=17800087.7625795 + } + } + if (`p1'==7){ + if (`p2'==0) { + local C1=-4.90504635308753e-05 + local C2=66.4686791385977 + } + if (`p2'==1) { + local C1=0.00376765715918737 + local C2=94641.1544249395 + } + if (`p2'==2) { + local C1=-0.0702605819096789 + local C2=13702534.6421256 + } + if (`p2'==3) { + local C1=0.547905247658491 + local C2=390598570.447533 + } + if (`p2'==4) { + local C1=-2.17951306328177 + local C2=2911582861.44089 + } + if (`p2'==5) { + local C1=4.79666758701205 + local C2=6153252223.55684 + } + if (`p2'==6) { + local C1=-5.90634610503912 + local C2=3332903726.62978 + } + if (`p2'==7) { + local C1=3.80750473635271 + local C2=285633131.714089 + } + } + if (`p1'==8){ + if (`p2'==0) { + local C1=1.28009644413396e-05 + local C2=83.8024160962497 + } + if (`p2'==1) { + local C1=-0.0012318922963459 + local C2=191016.021735915 + } + if (`p2'==2) { + local C1=0.0287254140712321 + local C2=45250162.0718378 + } + if (`p2'==3) { + local C1=-0.283516984432936 + local C2=2197551933.29091 + } + if (`p2'==4) { + local C1=1.4586429297924 + local C2=29881663369.7835 + } + if (`p2'==5) { + local C1=-4.30135545134544 + local C2=129595889329.345 + } + if (`p2'==6) { + local C1=7.53462833166122 + local C2=180547839391.581 + } + if (`p2'==7) { + local C1=-7.74197471141815 + local C2=70153904195.6161 + } + if (`p2'==8) { + local C1=4.30597522854805 + local C2=4581150539.5851 + } + } + if (`p1'==9){ + if (`p2'==0) { + local C1=-2.56981365964748e-06 + local C2=103.136967120782 + } + if (`p2'==1) { + local C1=0.000382994418032467 + local C2=357882.128373971 + } + if (`p2'==2) { + local C1=-0.0111749973148108 + local C2=131065694.25377 + } + if (`p2'==3) { + local C1=0.136033833026886 + local C2=10117813548.0377 + } + if (`p2'==4) { + local C1=-0.875308513641357 + local C2=228745243443.724 + } + if (`p2'==5) { + local C1=3.30519819259644 + local C2=1772311718505.28 + } + if (`p2'==6) { + local C1=-7.69141054153442 + local C2=4976168741761.24 + } + if (`p2'==7) { + local C1=11.1589169502258 + local C2=4895118462920.4 + } + if (`p2'==8) { + local C1=-9.82742595672607 + local C2=1429179266718.81 + } + if (`p2'==9) { + local C1=4.80476921796799 + local C2=73448661555.592 + } + } + if (`p1'==10){ + if (`p2'==0) { + local C1=0.000106673240225064 + local C2=124.520672499749 + } + if (`p2'==1) { + local C1=-0.00113465404137969 + local C2=632044.740476285 + } + if (`p2'==2) { + local C1=0.00709155201911926 + local C2=342376453.533928 + } + if (`p2'==3) { + local C1=-0.0642940998077393 + local C2=39880130461.1472 + } + if (`p2'==4) { + local C1=0.481655120849609 + local C2=1403708230458.23 + } + if (`p2'==5) { + local C1=-2.25773620605469 + local C2=17759178822082.7 + } + if (`p2'==6) { + local C1=6.68578338623047 + local C2=87680850871448.7 + } + if (`p2'==7) { + local C1=-12.7984313964844 + local C2=171433376795336 + } + if (`p2'==8) { + local C1=15.8130035400391 + local C2=125143858240646 + } + if (`p2'==9) { + local C1=-12.1715126037598 + local C2=28437327354854.3 + } + if (`p2'==10) { + local C1=5.30557250976562 + local C2=1179682266812.88 + } + } + } + + + ereturn scalar C1=`C1' + ereturn scalar C2=`C2' + + + + end + diff --git a/30/replication_package/Adofiles/rd_2021/rdbwselect_2014_kweight.mo b/30/replication_package/Adofiles/rd_2021/rdbwselect_2014_kweight.mo new file mode 100644 index 0000000000000000000000000000000000000000..4abcf31d549efac363e50d5a039b1eb660297bd5 Binary files /dev/null and b/30/replication_package/Adofiles/rd_2021/rdbwselect_2014_kweight.mo differ diff --git a/30/replication_package/Adofiles/rd_2021/rdbwselect_2014_rdvce.mo b/30/replication_package/Adofiles/rd_2021/rdbwselect_2014_rdvce.mo new file mode 100644 index 0000000000000000000000000000000000000000..38515227a3d13b8e513a2dc9d7d0ef35c489f410 Binary files /dev/null and b/30/replication_package/Adofiles/rd_2021/rdbwselect_2014_rdvce.mo differ diff --git a/30/replication_package/Adofiles/rd_2021/rdbwselect_2014_regconst.mo b/30/replication_package/Adofiles/rd_2021/rdbwselect_2014_regconst.mo new file mode 100644 index 0000000000000000000000000000000000000000..ea56a174855b343992237007a680b8b753251429 Binary files /dev/null and b/30/replication_package/Adofiles/rd_2021/rdbwselect_2014_regconst.mo differ diff --git a/30/replication_package/Adofiles/rd_2021/rddensity.ado b/30/replication_package/Adofiles/rd_2021/rddensity.ado new file mode 100644 index 0000000000000000000000000000000000000000..586b1ec283c0620afa049a9d1c060a8d0513fc78 --- /dev/null +++ b/30/replication_package/Adofiles/rd_2021/rddensity.ado @@ -0,0 +1,1406 @@ +******************************************************************************** +* RDDENSITY STATA PACKAGE -- rddensity +* Authors: Matias D. Cattaneo, Michael Jansson, Xinwei Ma +******************************************************************************** +*!version 2.3 2021-02-28 + +capture program drop rddensityEST + +program define rddensityEST, eclass +syntax varlist(max=1) [if] [in] [, /// +c(real 0) /// +p(integer 2) /// +q(integer 0) /// +fitselect(string) /// +kernel(string) /// +h(string) /// +bwselect(string) /// +vce(string) /// +all /// +noMASSpoints /// +noREGularize /// +NLOCalmin (integer -1) /// +NUNIquemin (integer -1) /// +] + + marksample touse + + if (`q'==0) local q = `p' + 1 + if ("`fitselect'"=="") local fitselect = "unrestricted" + local fitselect = lower("`fitselect'") + if ("`kernel'"=="") local kernel = "triangular" + local kernel = lower("`kernel'") + if ("`bwselect'"=="") local bwselect = "comb" + local bwselect = lower("`bwselect'") + if ("`vce'"=="") local vce = "jackknife" + local vce = lower("`vce'") + + tokenize `h' + local w : word count `h' + if `w' == 0 { + local hl 0 + local hr 0 + } + if `w' == 1 { + local hl `"`1'"' + local hr `"`1'"' + } + if `w' == 2 { + local hl `"`1'"' + local hr `"`2'"' + } + if `w' >= 3 { + di as error "{err}{cmd:h()} only accepts two inputs." + exit 125 + } + + preserve + qui keep if `touse' + + local x "`varlist'" + + qui drop if `x'==. + + qui su `x' + local x_min = r(min) + local x_max = r(max) + local N = r(N) + + qui count if `x'<`c' + local Nl = r(N) + qui count if `x'>=`c' + local Nr = r(N) + + **************************************************************************** + *** BEGIN ERROR HANDLING *************************************************** + if (`c'<=`x_min' | `c'>=`x_max'){ + di "{err}{cmd:c()} should be set within the range of `x'." + exit 125 + } + + if (`Nl'<10 | `Nr'<10){ + di "{err}Not enough observations to perform calculations." + exit 2001 + } + + if (`p'!=1 & `p'!=2 & `p'!=3 & `p'!=4 & `p'!=5 & `p'!=6 & `p'!=7){ + di "{err}{cmd:p()} should be an integer value less or equal than 7." + exit 125 + } + + if (`p'>`q'){ + di "{err}{cmd:p()} should be an integer value no larger than {cmd:q()}." + exit 125 + } + + if ("`kernel'"!="uniform" & "`kernel'"!="triangular" & "`kernel'"!="epanechnikov"){ + di "{err}{cmd:kernel()} incorrectly specified." + exit 7 + } + + if ("`fitselect'"!="restricted" & "`fitselect'"!="unrestricted"){ + di "{err}{cmd:fitselect()} incorrectly specified." + exit 7 + } + + if (`hl'<0){ + di "{err}{cmd:hl()} must be a positive real number." + exit 411 + } + + if (`hr'<0){ + di "{err}{cmd:hr()} must be a positive real number." + exit 411 + } + + if ("`fitselect'"=="restricted" & `hl'!=`hr'){ + di "{err}{{cmd:hl()} and {cmd:hr()} must be equal in the restricted model." + exit 7 + } + + if ("`bwselect'"!="each" & "`bwselect'"!="diff" & "`bwselect'"!="sum" & "`bwselect'"!="comb"){ + di "{err}{cmd:bwselect()} incorrectly specified." + exit 7 + } + + if ("`fitselect'"=="restricted" & "`bwselect'"=="each"){ + di "{err}{cmd:bwselect(each)} is not available in the restricted model." + exit 7 + } + + if ("`vce'"!="jackknife" & "`vce'"!="plugin"){ + di "{err}{cmd:vce()} incorrectly specified." + exit 7 + } + + if ("`regularize'" == "") { + local regularize = 1 + local Tempregularize = "regularize" + } + else { + local regularize = 0 + local Tempregularize = "noregularize" + } + + if ("`masspoints'" == "") { + local masspoints = 1 + local Tempmasspoints = "masspoints" + } + else { + local masspoints = 0 + local Tempmasspoints = "nomasspoints" + } + + if (`nlocalmin' < 0) { + local nlocalmin = 20 + `p' + 1 + } + + if (`nuniquemin' < 0) { + local nuniquemin = 20 + `p' + 1 + } + *** END ERROR HANDLING ***************************************************** + **************************************************************************** + + **************************************************************************** + *** BEGIN BANDWIDTH SELECTION ********************************************** + if ("`h'"!="") { + local bwmethod = "manual" + } + + if (`hl'==0 | `hr'==0) { + local bwmethod = "`bwselect'" + disp in ye "Computing data-driven bandwidth selectors." + qui rdbwdensity `x', c(`c') p(`p') kernel(`kernel') fitselect(`fitselect') vce(`vce') /// + nlocalmin(`nlocalmin') nuniquemin(`nuniquemin') `Tempregularize' `Tempmasspoints' + mat out = e(h) + if ("`fitselect'"=="unrestricted" & "`bwselect'"=="each" & `hl'==0) local hl = out[1,1] + if ("`fitselect'"=="unrestricted" & "`bwselect'"=="each" & `hr'==0) local hr = out[2,1] + if ("`fitselect'"=="unrestricted" & "`bwselect'"=="diff" & `hl'==0) local hl = out[3,1] + if ("`fitselect'"=="unrestricted" & "`bwselect'"=="diff" & `hr'==0) local hr = out[3,1] + if ("`fitselect'"=="unrestricted" & "`bwselect'"=="sum" & `hl'==0) local hl = out[4,1] + if ("`fitselect'"=="unrestricted" & "`bwselect'"=="sum" & `hr'==0) local hr = out[4,1] + if ("`fitselect'"=="unrestricted" & "`bwselect'"=="comb" & `hl'==0) local hl = out[1,1]+out[3,1]+out[4,1] - min(out[1,1],out[3,1],out[4,1]) - max(out[1,1],out[3,1],out[4,1]) + if ("`fitselect'"=="unrestricted" & "`bwselect'"=="comb" & `hr'==0) local hr = out[2,1]+out[3,1]+out[4,1] - min(out[2,1],out[3,1],out[4,1]) - max(out[2,1],out[3,1],out[4,1]) + + if ("`fitselect'"=="restricted" & "`bwselect'"=="diff" & `hl'==0) local hl = out[3,1] + if ("`fitselect'"=="restricted" & "`bwselect'"=="diff" & `hr'==0) local hr = out[3,1] + if ("`fitselect'"=="restricted" & "`bwselect'"=="sum" & `hl'==0) local hl = out[4,1] + if ("`fitselect'"=="restricted" & "`bwselect'"=="sum" & `hr'==0) local hr = out[4,1] + if ("`fitselect'"=="restricted" & "`bwselect'"=="comb" & `hl'==0) local hl = min(out[3,1],out[4,1]) + if ("`fitselect'"=="restricted" & "`bwselect'"=="comb" & `hr'==0) local hr = min(out[3,1],out[4,1]) + } + *** END BANDWIDTH SELECTION ************************************************ + **************************************************************************** + qui replace `x' = `x'-`c' + + qui count if `x'<0 & `x'>= -`hl' + if (`r(N)'<5){ + display("{err}Not enough observations on the left to perform calculations.") + exit(1) + } + local Nlh = r(N) + + qui count if `x'>=0 & `x'<=`hr' + if (`r(N)'<5){ + display("{err}Not enough observations on the right to perform calculations.") + exit(1) + } + local Nrh = r(N) + local Nh = `Nlh' + `Nrh' + + qui sort `x' + + **************************************************************************** + *** BEGIN MATA ESTIMATION ************************************************** + mata{ + X = st_data(.,("`x'"), 0) + + XUnique = rddensity_unique(X) + freqUnique = XUnique[., 2] + indexUnique = XUnique[., 4] + XUnique = XUnique[., 1] + NUnique = length(XUnique) + NlUnique = sum(XUnique :< 0) + NrUnique = sum(XUnique :>= 0) + + Y = (0..(`N'-1))' :/ (`N'-1) + if (`masspoints') { + Y = rddensity_rep(Y[indexUnique], freqUnique) + } + masspoints_flag = sum(freqUnique :!= 1) > 0 & `masspoints' + + Y = select(Y, X :>= -`hl' :& X :<= `hr') + X = select(X, X :>= -`hl' :& X :<= `hr') + fV_q = rddensity_fv(Y, X, `Nl', `Nr', `Nlh', `Nrh', `hl', `hr', `q', 1, "`kernel'", "`fitselect'", "`vce'", `masspoints') + T_q = fV_q[3,1] / sqrt(fV_q[3,2]) + st_numscalar("f_ql", fV_q[1,1]); st_numscalar("f_qr", fV_q[2,1]) + st_numscalar("se_ql", sqrt(fV_q[1,2])); st_numscalar("se_qr", sqrt(fV_q[2,2])) + st_numscalar("se_q", sqrt(fV_q[3,2])) + st_numscalar("T_q", T_q); st_numscalar("pval_q", 2*normal(-abs(T_q))) + + if ("`all'"!=""){ + fV_p = rddensity_fv(Y, X, `Nl', `Nr', `Nlh', `Nrh', `hl', `hr', `p', 1, "`kernel'", "`fitselect'", "`vce'", `masspoints') + T_p = fV_p[3,1] / sqrt(fV_p[3,2]) + st_numscalar("f_pl", fV_p[1,1]); st_numscalar("f_pr", fV_p[2,1]) + st_numscalar("se_pl", sqrt(fV_p[1,2])); st_numscalar("se_pr", sqrt(fV_p[2,2])) + st_numscalar("se_p", sqrt(fV_p[3,2])) + st_numscalar("T_p", T_p); st_numscalar("pval_p", 2*normal(-abs(T_p))) + } + st_numscalar("masspoints_flag", masspoints_flag) + *display("Estimation completed.") + } + *** END MATA ESTIMATION **************************************************** + **************************************************************************** + + **************************************************************************** + *** BEGIN OUTPUT TABLE ***************************************************** + + if (`hl' > `c'-`x_min') { + disp "" + disp "Bandwidth {it:hl} greater than the range of the data." + } + if (`hr' > `x_max'-`c') { + disp "" + disp "Bandwidth {it:hr} greater than the range of the data." + } + if (`Nlh'<20 | `Nrh'<20) disp in red "Bandwidth {it:h} may be too small." + if (masspoints_flag == 1) { + disp "" + disp "Point estimates and standard errors have been adjusted for repeated observations." + disp "(Use option {it:nomasspoints} to suppress this adjustment.)" + } + + disp "" + disp "RD Manipulation test using local polynomial density estimation." + + disp "" + disp in smcl in gr "{ralign 9: c = }" in ye %9.3f `c' _col(19) " {c |}" _col(22) in gr "Left of c" _col(33) in gr "Right of c" _col(53) in gr "Number of obs = " in ye %12.0f `N' + disp in smcl in gr "{hline 19}{c +}{hline 22}" _col(53) in gr "Model = " in ye "{ralign 12:`fitselect'}" + disp in smcl in gr "{ralign 18:Number of obs}" _col(19) " {c |} " _col(21) as result %9.0f `Nl' _col(34) %9.0f `Nr' _col(53) in gr "BW method = " in ye "{ralign 12:`bwmethod'}" + disp in smcl in gr "{ralign 18:Eff. Number of obs}" _col(19) " {c |} " _col(21) as result %9.0f `Nlh' _col(34) %9.0f `Nrh' _col(53) in gr "Kernel = " in ye "{ralign 12:`kernel'}" + disp in smcl in gr "{ralign 18:Order est. (p)}" _col(19) " {c |} " _col(21) as result %9.0f `p' _col(34) %9.0f `p' _col(53) in gr "VCE method = " in ye "{ralign 12:`vce'}" + disp in smcl in gr "{ralign 18:Order bias (q)}" _col(19) " {c |} " _col(21) as result %9.0f `q' _col(34) %9.0f `q' + disp in smcl in gr "{ralign 18:BW est. (h)}" _col(19) " {c |} " _col(21) as result %9.3f `hl' _col(34) %9.3f `hr' + + disp "" + disp "Running variable: `x'." + disp in smcl in gr "{hline 19}{c TT}{hline 22}" + disp in smcl in gr "{ralign 18:Method}" _col(19) " {c |} " _col(23) " T" _col(38) "P>|T|" + disp in smcl in gr "{hline 19}{c +}{hline 22}" + if ("`all'"!="" & `q'>`p'){ + disp in smcl in gr "{ralign 18:Conventional}" _col(19) " {c |} " _col(21) in ye %9.4f T_p _col(34) %9.4f pval_p + } + if (`q'>`p') { + disp in smcl in gr "{ralign 18:Robust}" _col(19) " {c |} " _col(21) in ye %9.4f T_q _col(34) %9.4f pval_q + } + else { + disp in smcl in gr "{ralign 18:Conventional}" _col(19) " {c |} " _col(21) in ye %9.4f T_q _col(34) %9.4f pval_q + } + + + disp in smcl in gr "{hline 19}{c BT}{hline 22}" + disp "" + + *** END OUTPUT TABLE ******************************************************* + **************************************************************************** + + restore + + ereturn clear + ereturn scalar c = `c' + ereturn scalar p = `p' + ereturn scalar q = `q' + ereturn scalar N_l = `Nl' + ereturn scalar N_r = `Nr' + ereturn scalar N_h_l = `Nlh' + ereturn scalar N_h_r = `Nrh' + ereturn scalar h_l = `hl' + ereturn scalar h_r = `hr' + ereturn scalar f_ql = f_ql + ereturn scalar f_qr = f_qr + ereturn scalar se_ql = se_ql + ereturn scalar se_qr = se_qr + ereturn scalar se_q = se_q + ereturn scalar pv_q = pval_q + ereturn scalar T_q = T_q + + if ("`all'"!=""){ + ereturn scalar f_pl = f_pl + ereturn scalar f_pr = f_pr + ereturn scalar se_pl = se_pl + ereturn scalar se_pr = se_pr + ereturn scalar se_p = se_p + ereturn scalar pv_p = pval_p + ereturn scalar T_p = T_p + } + + ereturn local runningvar "`x'" + ereturn local kernel = "`kernel'" + ereturn local bwmethod = "`bwmethod'" + ereturn local vce = "`vce'" + + mata: mata clear + +end + +******************************************************************************** +* MAIN PROGRAM +******************************************************************************** + +capture program drop rddensity + +program define rddensity, eclass + syntax varlist(max=1) /// + [if] [in] [, /// + /* Estimation */ /// + C(real 0) /// + P(integer 2) /// + Q(integer 0) /// + FITselect(string) /// + KERnel(string) /// + VCE(string) /// + noMASSpoints /// + /* Bandwidth selection */ /// + H(string) /// + BWselect(string) /// + noREGularize /// + NLOCalmin (integer -1) /// + NUNIquemin (integer -1) /// + /* Binomial test */ /// + noBINOmial /// + bino_n(integer 0) /// + bino_nstep(integer 0) /// + bino_w(string) /// + bino_wstep(string) /// + bino_nw(integer 10) /// + bino_p(real 0.5) /// + /* Plot */ /// + PLot /// + plot_range(string) /// + plot_n(string) /// + plot_grid(string) /// + plot_bwselect(string) /// + plot_ciuniform /// + plot_cisimul(integer 2000) /// + plotl_estype(string) /// + esll_opt(string) /// + espl_opt(string) /// + plotr_estype(string) /// + eslr_opt(string) /// + espr_opt(string) /// + plotl_citype(string) /// + cirl_opt(string) /// + cill_opt(string) /// + cibl_opt(string) /// + plotr_citype(string) /// + cirr_opt(string) /// + cilr_opt(string) /// + cibr_opt(string) /// + /* Histogram */ /// + noHISTogram /// + hist_range(string) /// + hist_n(string) /// + hist_width(string) /// + histl_opt(string) /// + histr_opt(string) /// + /* Additional grph options */ /// + graph_opt(string) /// + GENVars(string) /// + /* Reporting */ /// + LEVel(real 95) /// + ALL /// + ] + + marksample touse + + local x "`varlist'" + + **************************************************************************** + *** CALL: RDDENSITYEST ******************************************************** + + if ("`regularize'" == "") { + local regularize = "regularize" + } + else { + local regularize = "noregularize" + } + + if ("`masspoints'" == "") { + local masspoints = "masspoints" + } + else { + local masspoints = "nomasspoints" + } + + if ("`all'" != "") { + local all = "all" + } + else { + local all = "" + } + + rddensityEST `x' if `touse', /// + c(`c') p(`p') q(`q') fitselect(`fitselect') kernel(`kernel') h(`h') bwselect(`bwselect') vce(`vce') /// + `regularize' `masspoints' `all' nlocalmin(`nlocalmin') nuniquemin(`nuniquemin') + + /// save ereturn results + local c = e(c) + local p = e(p) + local q = e(q) + local N_l = e(N_l) + local N_r = e(N_r) + local N_h_l = e(N_h_l) + local N_h_r = e(N_h_r) + local h_l = e(h_l) + local h_r = e(h_r) + local f_ql = e(f_ql) + local f_qr = e(f_qr) + local se_ql = e(se_ql) + local se_qr = e(se_qr) + local se_q = e(se_q) + local pv_q = e(pv_q) + local T_q = e(T_q) + + if ("`all'" != ""){ + local f_pl = e(f_pl) + local f_pr = e(f_pr) + local se_pl = e(se_pl) + local se_pr = e(se_pr) + local se_p = e(se_p) + local pv_p = e(pv_p) + local T_p = e(T_p) + } + + local vce = e(vce) + local bwmethod = e(bwmethod) + local kernel = e(kernel) + local runningvar = e(runningvar) + + **************************************************************************** + *** BINOMIAL TEST ********************************************************** + + // determine initial window width + if ("`bino_w'" != "") { + local flag_ini_window = "w_provided" + } + else if (`bino_n' != 0) { + local flag_ini_window = "n_provided" + } + else { + local flag_ini_window = "automatic" + } + + // determine window increment + if ("`bino_wstep'" != "") { + local flag_step_window = "w_provided" + } + else if (`bino_nstep' != 0) { + local flag_step_window = "n_provided" + } + else { + local flag_step_window = "automatic" + } + + // bino_w check + tokenize `bino_w' + local w : word count `bino_w' + if (`w' == 0) { + local bino_w_l = 0 + local bino_w_r = 0 + } + else if (`w' == 1) { + local bino_w_l `"`1'"' + local bino_w_r `"`1'"' + if (`bino_w_l' <= 0) { + di as err `"{err}{cmd:bino_w()}: incorrectly specified (should be a positive number)"' + exit 198 + } + } + else if (`w' == 2) { + local bino_w_l `"`1'"' + local bino_w_r `"`2'"' + if (`bino_w_l' <= 0 | `bino_w_r' <= 0) { + di as err `"{err}{cmd:bino_w()}: incorrectly specified (should be positive numbers)"' + exit 198 + } + } + else { + di as error "{err}{cmd:bino_w()} takes at most two inputs." + exit 125 + } + + // bino_n check + if (`bino_n' > 0) { + // do nothing + } + else if (`bino_n' < 0) { + di as err `"{err}{cmd:bino_n()}: incorrectly specified (should be a positive integer)"' + exit 198 + } + else { + local bino_n = 20 + } + + // bino_wstep check + tokenize `bino_wstep' + local w : word count `bino_wstep' + if (`w' == 0) { + local bino_wstep_l = 0 + local bino_wstep_r = 0 + } + else if (`w' == 1) { + local bino_wstep_l `"`1'"' + local bino_wstep_r `"`1'"' + if (`bino_wstep_l' <= 0) { + di as err `"{err}{cmd:bino_wstep()}: incorrectly specified (should be a positive number)"' + exit 198 + } + } + else if (`w' == 2) { + local bino_wstep_l `"`1'"' + local bino_wstep_r `"`2'"' + if (`bino_wstep_l' <= 0 | `bino_wstep_r' <= 0) { + di as err `"{err}{cmd:bino_wstep()}: incorrectly specified (should be positive numbers)"' + exit 198 + } + } + else { + di as error "{err}{cmd:bino_wstep()} takes at most two inputs." + exit 125 + } + + // bino_nstep check + if (`bino_nstep' > 0) { + // do nothing + } + else if (`bino_nstep' < 0) { + di as err `"{err}{cmd:bino_nstep()}: incorrectly specified (should be a positive integer)"' + exit 198 + } + else { + // do nothing + } + + // bino_nw check + if (`bino_nw' <= 0) { + di as err `"{err}{cmd:bino_nw()}: incorrectly specified (should be a positive integer)"' + exit 198 + } + + // bino_p check + if (`bino_p'<=0 | `bino_p'>=1) { + di as err `"{err}{cmd:bino_p()}: incorrectly specified (should be between 0 and 1)"' + exit 198 + } + + // calculate windows + mata { + if ("`binomial'" == "") { + + X = st_data(.,("`x'"), 0) + XL = sort(abs(select(X, X :< `c') :- `c'), 1) + XR = sort(select(X, X :>= `c') :- `c', 1) + Y = sort(abs(X :- `c'), 1) + binomTempLWindow = J(`bino_nw', 1, .) + binomTempRWindow = J(`bino_nw', 1, .) + + // initial window width + if ("`flag_ini_window'" == "w_provided") { + binomTempLWindow[1] = `bino_w_l' + binomTempRWindow[1] = `bino_w_r' + } + else { + binomTempLWindow[1] = Y[min((`bino_n', `N_l'+`N_r'))] + binomTempRWindow[1] = binomTempLWindow[1] + } + + // window increment + if (`bino_nw' > 1) { + if ("`flag_step_window'" == "w_provided") { + binomTempLWindow[2..`bino_nw', 1] = (1..(`bino_nw'-1))' :* `bino_wstep_l' :+ binomTempLWindow[1] + binomTempRWindow[2..`bino_nw', 1] = (1..(`bino_nw'-1))' :* `bino_wstep_r' :+ binomTempRWindow[1] + } + else if ("`flag_step_window'" == "n_provided") { + for (jj=2; jj<=`bino_nw'; jj++) { + if ("`flag_ini_window'" == "w_provided") { + binomTempLWindow[jj] = Y[min((sum(XL :<= binomTempLWindow[1]) + sum(XR :<= binomTempRWindow[1]) + (jj-1) * `bino_nstep', `N_l'+`N_r'))] + binomTempRWindow[jj] = binomTempLWindow[jj] + } + else { + binomTempLWindow[jj] = Y[min((`bino_n' + (jj-1) * `bino_nstep', `N_l'+`N_r'))] + binomTempRWindow[jj] = binomTempLWindow[jj] + } + } + } + else { + if (binomTempLWindow[1] >= `h_l' | binomTempRWindow[1] >= `h_r') { + // exceed bandwidth on either side + binomTempLWindow = binomTempLWindow[1] + binomTempRWindow = binomTempRWindow[1] + } + else { + if (binomTempLWindow[1]*`bino_nw' > `h_l') { + binomTempLWindow[2..`bino_nw', 1] = (1..(`bino_nw'-1))' :* ((`h_l'-binomTempLWindow[1])/(`bino_nw'-1)) :+ binomTempLWindow[1] + } + else { + binomTempLWindow[2..`bino_nw', 1] = (1..(`bino_nw'-1))' :* binomTempLWindow[1] :+ binomTempLWindow[1] + } + + if (binomTempRWindow[1]*`bino_nw' > `h_r') { + binomTempRWindow[2..`bino_nw', 1] = (1..(`bino_nw'-1))' :* ((`h_r'-binomTempRWindow[1])/(`bino_nw'-1)) :+ binomTempRWindow[1] + } + else { + binomTempRWindow[2..`bino_nw', 1] = (1..(`bino_nw'-1))' :* binomTempRWindow[1] :+ binomTempRWindow[1] + } + } + } + } + + // window sample size + binomTempLN = J(rows(binomTempLWindow), 1, .) + binomTempRN = J(rows(binomTempLWindow), 1, .) + + for (jj=1; jj<=rows(binomTempLWindow); jj++) { + binomTempLN[jj] = sum(XL :<= binomTempLWindow[jj]) + binomTempRN[jj] = sum(XR :<= binomTempRWindow[jj]) + } + + // binomTempLWindow + // binomTempRWindow + // binomTempLN + // binomTempRN + // rows(binomTempLWindow) + + st_matrix("binomTempLeftWindow" , binomTempLWindow) + st_matrix("binomTempRightWindow", binomTempRWindow) + st_matrix("binomTempLeftN" , binomTempLN) + st_matrix("binomTempRightN", binomTempRN) + st_matrix("binomTempNumber", rows(binomTempLWindow)) + st_matrix("binomTempEqualWindow", sum(binomTempLWindow != binomTempRWindow) == 0) + + } + } + + local binomTempNumber = binomTempNumber[1,1] + local binomTempEqualWindow = binomTempEqualWindow[1,1] + + if ("`binomial'" == "") { + disp in ye "P-values of binomial tests." in gr " (H0: prob = `bino_p')" + disp in smcl in gr "{hline 19}{c TT}{hline 22}{c TT}{hline 10}" + + + + if (`binomTempEqualWindow' == 1) { + disp in smcl in gr "{ralign 18: Window Length / 2}" _col(20) "{c |}" "{ralign 9: =c}" _col(43) "{c |}" _col(49) "P>|T|" + } + else { + disp in smcl in gr "{ralign 18: Window Length}" _col(20) "{c |}" "{ralign 9: =c}" _col(43) "{c |}" _col(49) "P>|T|" + } + + disp in smcl in gr "{hline 19}{c +}{hline 22}{c +}{hline 10}" + + forvalues i = 1(1)`binomTempNumber' { + local binomTempTotal = binomTempLeftN[`i', 1] + binomTempRightN[`i', 1] + local binomTempSuccess = binomTempLeftN[`i', 1] + if (`binomTempTotal' > 0) { + qui bitesti `binomTempTotal' `binomTempSuccess' `bino_p' + if (`binomTempEqualWindow' == 1) { + disp in smcl in ye _col(10) %9.3f binomTempLeftWindow[`i',1] _col(20) "{c |}" %9.0f binomTempLeftN[`i',1] _col(33) %9.0f binomTempRightN[`i',1] _col(43) "{c |}" _col(45) %9.4f r(p) + } + else { + disp in smcl in ye %8.3f binomTempLeftWindow[`i',1] _col(10) "+" %8.3f binomTempRightWindow[`i',1] _col(20) "{c |}" %9.0f binomTempLeftN[`i',1] _col(33) %9.0f binomTempRightN[`i',1] _col(43) "{c |}" _col(45) %9.4f r(p) + } + } + else { + if (`binomTempEqualWindow' == 1) { + disp in smcl in ye _col(10) %9.3f binomTempLeftWindow[`i',1] _col(20) "{c |}" %9.0f 0 _col(33) %9.0f 0 _col(43) "{c |}" _col(45) %9.4f 1.0000 + } + else { + disp in smcl in ye %8.3f binomTempLeftWindow[`i',1] _col(10) "+" %8.3f binomTempRightWindow[`i',1] _col(20) "{c |}" %9.0f 0 _col(33) %9.0f 0 _col(43) "{c |}" _col(45) %9.4f 1.0000 + } + } + } + + disp in smcl in gr "{hline 19}{c BT}{hline 22}{c BT}{hline 10}" + + } + + **************************************************************************** + *** LPDENSITY ************************************************************** + + // plot_range + tokenize `plot_range' + local w : word count `plot_range' + if `w' == 0 { + qui sum `x' + if (`c' - 3 * `h_l' < r(min)) { + local plot_range_l = r(min) + } + else { + local plot_range_l = `c' - 3 * `h_l' + } + if (`c' + 3 * `h_r' > r(max)) { + local plot_range_r = r(max) + } + else { + local plot_range_r = `c' + 3 * `h_r' + } + } + if `w' == 1 { + di as error "{err}{cmd:plot_range()} takes two inputs." + exit 125 + } + if `w' == 2 { + local plot_range_l `"`1'"' + local plot_range_r `"`2'"' + } + if `w' >= 3 { + di as error "{err}{cmd:plot_range()} takes two inputs." + exit 125 + } + + // plot_n + tokenize `plot_n' + local w : word count `plot_n' + if `w' == 0 { + local plot_n_l = 10 + local plot_n_r = 10 + } + if `w' == 1 { + local plot_n_l `"`1'"' + local plot_n_r `"`1'"' + if (`plot_n_l' <= 0) { + di as err `"{err}{cmd:plot_n()}: incorrectly specified (should be a positive integer)"' + exit 198 + } + } + if `w' == 2 { + local plot_n_l `"`1'"' + local plot_n_r `"`2'"' + if (`plot_n_l' <= 0 | `plot_n_r' <= 0) { + di as err `"{err}{cmd:plot_n()}: incorrectly specified (should be positive integers)"' + exit 198 + } + } + if `w' >= 3 { + di as error "{err}{cmd:plot_n()} takes two inputs." + exit 125 + } + + // plot_grid + if ("`plot_grid'" == "") { + local plot_grid "es" + } + else { + if ("`plot_grid'" != "es" & "`plot_grid'" != "qs") { + di as error "{err}{cmd:plot_grid()} incorrectly specified." + exit 125 + } + } + + // level + if (`level' <= 0 | `level' >= 100) { + di as err `"{err}{cmd:level()}: incorrectly specified"' + exit 198 + } + + // plot + if ("`plot'" != "") { + local plot = 1 + capture which lpdensity + if (_rc == 111) { + di as error `"{err}plotting feature requires command {cmd:lpdensity}, install with"' + di as error `"{err}net install lpdensity, from(https://raw.githubusercontent.com/nppackages/lpdensity/master/stata) replace"' + exit 111 + } + } + else { + local plot = 0 + } + + if (`plot' == 1) { + + if (`plot_n_l' + `plot_n_r' > _N) { + local newN = `plot_n_l' + `plot_n_r' + set obs `newN' + } + tempvar temp_grid + qui gen `temp_grid' = . + tempvar temp_bw + qui gen `temp_bw' = . + tempvar temp_f + qui gen `temp_f' = . + tempvar temp_cil + qui gen `temp_cil' = . + tempvar temp_cir + qui gen `temp_cir' = . + tempvar temp_group + qui gen `temp_group' = . + + } + + // MATA + mata{ + ng = `plot_n_l' + `plot_n_r' + if (`plot' == 1) { + // generate grid + if ("`plot_grid'" == "es") { + grid = ( rangen(`plot_range_l', `c' - ( (`c' - `plot_range_l') / (`plot_n_l' - 1) ), `plot_n_l' - 1) \ `c' \ `c' \ rangen(`c' + ( (`plot_range_r' - `c') / (`plot_n_r' - 1) ), `plot_range_r', `plot_n_r' - 1) ) + } else { + x = st_data(., "`x'", "`touse'") + temp1 = mean(x :<= `plot_range_l') + temp2 = mean(x :<= `c') + temp3 = mean(x :<= `plot_range_r') + grid = ( rangen(temp1, temp2 - ( (temp2 - temp1) / (`plot_n_l' - 1) ), `plot_n_l' - 1) \ temp2 \ temp2 \ rangen(temp2 + ( (temp3 - temp2) / (`plot_n_r' - 1) ), temp3, `plot_n_r' - 1) ) + for (j=1; j<=length(grid); j++) { + grid[j] = rddensity_quantile(x, grid[j]) + } + grid[`plot_n_l'] = `c' + grid[`plot_n_l' + 1] = `c' + } + + // generate group + group = ( J(`plot_n_l', 1, 0) \ J(`plot_n_r', 1, 1) ) + // generate bandwidth + bw = ( J(`plot_n_l', 1, `h_l') \ J(`plot_n_r', 1, `h_r') ) + + st_store((1..ng)', "`temp_grid'", grid) + st_store((1..ng)', "`temp_group'", group) + st_store((1..ng)', "`temp_bw'", bw) + } + } + + if (`plot' == 1) { + local scale_l = (`N_l' - 1) / (`N_l' + `N_r' - 1) + local scale_r = (`N_r' - 1) / (`N_l' + `N_r' - 1) + + // left estimation + tempvar temp_grid_l + qui gen `temp_grid_l' = `temp_grid' if `temp_group' == 0 + tempvar temp_bw_l + qui gen `temp_bw_l' = `temp_bw' if `temp_group' == 0 + + // bandwidth selection + if ("`plot_bwselect'" == "") { + local plot_bwselect_l = `"bw(`temp_bw_l')"' + } + else { + local plot_bwselect_l = `"bwselect(`plot_bwselect')"' + } + + // uniform confidence band + if ("`plot_ciuniform'" != "") { + local plot_ciuniform = `"ciuniform cisimul(`plot_cisimul')"' + } + else { + local plot_ciuniform = "" + } + + capture lpdensity `x' if `touse' & `x' <= `c', /// + grid(`temp_grid_l') `plot_bwselect_l' p(`p') q(`q') v(1) kernel(`kernel') scale(`scale_l') level(`level') /// + `regularize' `masspoints' nlocalmin(`nlocalmin') nuniquemin(`nuniquemin') /// + `plot_ciuniform' + if (_rc != 0) { + di as error `"{err}{cmd:lpdensity} failed. Please try to install the latest version using"' + di as error `"{err}net install lpdensity, from(https://raw.githubusercontent.com/nppackages/lpdensity/master/stata) replace"' + di as error `"{err}If error persists, please contact the authors."' + di as error `"{err}{cmd:lpdensity} error message:"' + lpdensity `x' if `touse' & `x' <= `c', /// + grid(`temp_grid_l') `plot_bwselect_l' p(`p') q(`q') v(1) kernel(`kernel') scale(`scale_l') level(`level') /// + `regularize' `masspoints' nlocalmin(`nlocalmin') nuniquemin(`nuniquemin') /// + `plot_ciuniform' + exit 111 + } + } + + mata{ + if (`plot' == 1) { + left = st_matrix("e(result)") + st_store((1..`plot_n_l')', "`temp_bw'", left[., 2]) + st_store((1..`plot_n_l')', "`temp_f'", left[., 4]) + st_store((1..`plot_n_l')', "`temp_cil'", left[., 8]) + st_store((1..`plot_n_l')', "`temp_cir'", left[., 9]) + } + } + + if (`plot' == 1) { + // right estimation + tempvar temp_grid_r + qui gen `temp_grid_r' = `temp_grid' if `temp_group' == 1 + tempvar temp_bw_r + qui gen `temp_bw_r' = `temp_bw' if `temp_group' == 1 + + if ("`plot_bwselect'" == "") { + local plot_bwselect_r = `"bw(`temp_bw_r')"' + } + else { + local plot_bwselect_r = `"bwselect(`plot_bwselect')"' + } + + capture lpdensity `x' if `touse' & `x' >= `c', /// + grid(`temp_grid_r') `plot_bwselect_r' p(`p') q(`q') v(1) kernel(`kernel') scale(`scale_r') level(`level') /// + `regularize' `masspoints' nlocalmin(`nlocalmin') nuniquemin(`nuniquemin') /// + `plot_ciuniform' + if (_rc != 0) { + di as error `"{err}{cmd:lpdensity} failed. Please try to install the latest version using"' + di as error `"{err}net install lpdensity, from(https://raw.githubusercontent.com/nppackages/lpdensity/master/stata) replace"' + di as error `"{err}If error persists, please contact the authors."' + di as error `"{err}{cmd:lpdensity} error message:"' + lpdensity `x' if `touse' & `x' >= `c', /// + grid(`temp_grid_r') `plot_bwselect_r' p(`p') q(`q') v(1) kernel(`kernel') scale(`scale_r') level(`level') /// + `regularize' `masspoints' nlocalmin(`nlocalmin') nuniquemin(`nuniquemin') /// + `plot_ciuniform' + exit 111 + } + } + + mata{ + if (`plot' == 1) { + right = st_matrix("e(result)") + st_store(((`plot_n_l'+1)..(`plot_n_l'+`plot_n_r'))', "`temp_bw'", right[., 2]) + st_store(((`plot_n_l'+1)..(`plot_n_l'+`plot_n_r'))', "`temp_f'", right[., 4]) + st_store(((`plot_n_l'+1)..(`plot_n_l'+`plot_n_r'))', "`temp_cil'", right[., 8]) + st_store(((`plot_n_l'+1)..(`plot_n_l'+`plot_n_r'))', "`temp_cir'", right[., 9]) + } + } + + if ("`genvars'" != "" & `plot' == 1) { + qui gen `genvars'_grid = `temp_grid' + qui gen `genvars'_bw = `temp_bw' + qui gen `genvars'_f = `temp_f' + qui gen `genvars'_cil = `temp_cil' + qui gen `genvars'_cir = `temp_cir' + qui gen `genvars'_group = `temp_group' + label variable `genvars'_grid "rddensity plot: grid" + label variable `genvars'_bw "rddensity plot: bandwidth" + label variable `genvars'_f "rddensity plot: point estimate" + label variable `genvars'_cil "rddensity plot: `level'% CI, left" + label variable `genvars'_cir "rddensity plot: `level'% CI, right" + label variable `genvars'_group "rddensity plot: =1 if grid >= `c'" + } + + + **************************************************************************** + *** DEFAULT OPTIONS: HISTOGRAM ********************************************* + + // hist_range + tokenize `hist_range' + local w : word count `hist_range' + if `w' == 0 { + qui sum `x' + if (`c' - 3 * `h_l' < r(min)) { + local hist_range_l = r(min) + } + else { + local hist_range_l = `c' - 3 * `h_l' + } + if (`c' + 3 * `h_r' > r(max)) { + local hist_range_r = r(max) + } + else { + local hist_range_r = `c' + 3 * `h_r' + } + } + if `w' == 1 { + di as error "{err}{cmd:hist_range()} takes two inputs." + exit 125 + } + if `w' == 2 { + local hist_range_l `"`1'"' + local hist_range_r `"`2'"' + } + if `w' >= 3 { + di as error "{err}{cmd:hist_range()} takes two inputs." + exit 125 + } + + // hist_n + tokenize `hist_n' + local w : word count `hist_n' + if `w' == 0 { + // check if hist_width is provided + if ("`hist_width'" == "") { + // do shonething + qui count if `x' < `c' & `x' >= `hist_range_l' + local hist_n_l = ceil(min( sqrt(r(N)) , 10 * log(r(N)) / log(10) )) + qui count if `x' >= `c' & `x' <= `hist_range_r' + local hist_n_r = ceil(min( sqrt(r(N)) , 10 * log(r(N)) / log(10) )) + } + else { + // do nothing. wait until hist_width + } + + } + if `w' == 1 { + local hist_n_l `"`1'"' + local hist_n_r `"`1'"' + if (`hist_n_l' <= 0) { + di as err `"{err}{cmd:hist_n()}: incorrectly specified (should be a positive integer)"' + exit 198 + } + } + if `w' == 2 { + local hist_n_l `"`1'"' + local hist_n_r `"`2'"' + if (`hist_n_l' <= 0 | `hist_n_r' <= 0) { + di as err `"{err}{cmd:hist_n()}: incorrectly specified (should be positive integers)"' + exit 198 + } + } + if `w' >= 3 { + di as error "{err}{cmd:hist_n()} takes at most two inputs." + exit 125 + } + + // hist_width + tokenize `hist_width' + local w : word count `hist_width' + if `w' == 0 { + local hist_width_l = (`c' - `hist_range_l') / `hist_n_l' + local hist_width_r = (`hist_range_r' - `c') / `hist_n_r' + } + if `w' == 1 { + if ("`hist_n'" == "") { + // only hist_width is provided + local hist_width_l `"`1'"' + local hist_width_r `"`1'"' + if (`hist_width_l' <= 0) { + di as err `"{err}{cmd:hist_width()}: incorrectly specified (should be a positive number)"' + exit 198 + } + local hist_n_l = ceil((`c' - `hist_range_l') / `hist_width_l') + local hist_n_r = ceil((`hist_range_r' - `c') / `hist_width_r') + } + else { + // ignore hist_width input, because hist_n is provided + local hist_width_l = (`c' - `hist_range_l') / `hist_n_l' + local hist_width_r = (`hist_range_r' - `c') / `hist_n_r' + } + } + if `w' == 2 { + if ("`hist_n'" == "") { + // only hist_width is provided + local hist_width_l `"`1'"' + local hist_width_r `"`2'"' + if (`hist_width_l' <= 0 | `hist_width_r' <= 0) { + di as err `"{err}{cmd:hist_width()}: incorrectly specified (should be positive numbers)"' + exit 198 + } + local hist_n_l = ceil((`c' - `hist_range_l') / `hist_width_l') + local hist_n_r = ceil((`hist_range_r' - `c') / `hist_width_r') + } + else { + // ignore hist_width input, because hist_n is provided + local hist_width_l = (`c' - `hist_range_l') / `hist_n_l' + local hist_width_r = (`hist_range_r' - `c') / `hist_n_r' + } + } + if `w' >= 3 { + di as error "{err}{cmd:hist_width()} takes two inputs." + exit 125 + } + + // histogram + if ("`histogram'" != "") { + local histogram = 0 + } + else { + local histogram = 1 + } + + if (`histogram' == 1) { + if (`hist_n_l' + `hist_n_r' > _N) { + local newN = `hist_n_l' + `hist_n_r' + set obs `newN' + } + + tempvar temp_hist_center + qui gen `temp_hist_center' = . + tempvar temp_hist_end_l + qui gen `temp_hist_end_l' = . + tempvar temp_hist_end_r + qui gen `temp_hist_end_r' = . + tempvar temp_hist_width + qui gen `temp_hist_width' = . + tempvar temp_hist_height + qui gen `temp_hist_height' = . + tempvar temp_hist_group + qui gen `temp_hist_group' = . + } + + // MATA + mata{ + + if (`histogram' == 1) { + ng = `hist_n_l' + `hist_n_r' + temp_hist_width = (J(`hist_n_l', 1, `hist_width_l') \ J(`hist_n_r', 1, `hist_width_r')) + temp_hist_center = (`c' :- (((`hist_n_l'..1) :- 0.5)' :* `hist_width_l') \ `c' :+ (((1..`hist_n_r') :- 0.5)' :* `hist_width_r')) + temp_hist_end_l = (`c' :- (((`hist_n_l'..1))' :* `hist_width_l') \ `c' :+ (((1..`hist_n_r') :- 1)' :* `hist_width_r')) + temp_hist_end_r = (`c' :- (((`hist_n_l'..1) :- 1)' :* `hist_width_l') \ `c' :+ (((1..`hist_n_r'))' :* `hist_width_r')) + temp_hist_group = (J(`hist_n_l', 1, 0) \ J(`hist_n_r', 1, 1)) + temp_hist_height = J(ng, 1, .) + + x = st_data(., "`x'", "`touse'") + + for (jj=1; jj<=ng; jj++) { + temp_hist_height[jj] = sum(x :>= temp_hist_end_l[jj] :& x :< temp_hist_end_r[jj]) / (`N_l' + `N_r') / temp_hist_width[jj] + } + + st_store((1..ng)', "`temp_hist_width'", temp_hist_width) + st_store((1..ng)', "`temp_hist_center'", temp_hist_center) + st_store((1..ng)', "`temp_hist_end_l'", temp_hist_end_l) + st_store((1..ng)', "`temp_hist_end_r'", temp_hist_end_r) + st_store((1..ng)', "`temp_hist_height'", temp_hist_height) + st_store((1..ng)', "`temp_hist_group'", temp_hist_group) + } + } + + if ("`genvars'" != "" & `plot' == 1 & `histogram' == 1) { + qui gen `genvars'_hist_width = `temp_hist_width' + qui gen `genvars'_hist_center = `temp_hist_center' + qui gen `genvars'_hist_height = `temp_hist_height' + qui gen `genvars'_hist_group = `temp_hist_group' + qui gen `genvars'_hist_endl = `temp_hist_end_l' + qui gen `genvars'_hist_endr = `temp_hist_end_r' + label variable `genvars'_hist_width "histogram plot: histogram bar width" + label variable `genvars'_hist_center "histogram plot: histogram bar center" + label variable `genvars'_hist_endl "histogram plot: histogram bar left end" + label variable `genvars'_hist_endr "histogram plot: histogram bar right end" + label variable `genvars'_hist_height "histogram plot: histogram bar height" + label variable `genvars'_hist_group "histogram plot: =1 if cell center > `c'" + } + + **************************************************************************** + *** PLOT ******************************************************************* + + if (`plot' == 1) { + + // ci type check, left + if ("`plotl_citype'" == "") { + local plotl_citype = "region" + } + else if ("`plotl_citype'" != "all" & "`plotl_citype'" != "region" & "`plotl_citype'" != "line" & "`plotl_citype'" != "ebar" & "`plotl_citype'" != "none") { + di as err `"plotl_citype(): incorrectly specified: options(region, line, ebar, all, none)"' + exit 198 + } + + if ("`plotl_citype'" == "region" | "`plotl_citype'" == "all") { + if ("`cirl_opt'" == "") { + local ci_plot_region_l = `"(rarea `temp_cil' `temp_cir' `temp_grid' if `temp_group' == 0, sort lcolor(white%0) color(red%30))"' + } + else { + local ci_plot_region_l = `"(rarea `temp_cil' `temp_cir' `temp_grid' if `temp_group' == 0, sort `cirl_opt')"' + } + } + else { + local ci_plot_region_l = `""' + } + if ("`plotl_citype'" == "line" | "`plotl_citype'" == "all") { + if ("`cill_opt'" == "") { + local ci_plot_line_l = `"(rline `temp_cil' `temp_cir' `temp_grid' if `temp_group' == 0, sort color(red%70))"' + } + else { + local ci_plot_line_l = `"(rline `temp_cil' `temp_cir' `temp_grid' if `temp_group' == 0, sort `cill_opt')"' + } + } + else { + local ci_plot_line_l = `""' + } + if ("`plotl_citype'" == "ebar" | "`plotl_citype'" == "all") { + if ("`cibl_opt'" == "") { + local ci_plot_ebar_l = `"(rcap `temp_cil' `temp_cir' `temp_grid' if `temp_group' == 0, sort color(red%70))"' + } + else { + local ci_plot_ebar_l = `"(rcap `temp_cil' `temp_cir' `temp_grid' if `temp_group' == 0, sort `cibl_opt')"' + } + } + else { + local ci_plot_ebar_l = `""' + } + + // ci type check, right + if ("`plotr_citype'" == "") { + local plotr_citype = "region" + } + else if ("`plotr_citype'" != "all" & "`plotr_citype'" != "region" & "`plotr_citype'" != "line" & "`plotr_citype'" != "ebar" & "`plotr_citype'" != "none") { + di as err `"plotr_citype(): incorrectly specified: options(region, line, ebar, all, none)"' + exit 198 + } + + if ("`plotr_citype'" == "region" | "`plotr_citype'" == "all") { + if ("`cirr_opt'" == "") { + local ci_plot_region_r = `"(rarea `temp_cil' `temp_cir' `temp_grid' if `temp_group' == 1, sort lcolor(white%0) color(blue%30))"' + } + else { + local ci_plot_region_r = `"(rarea `temp_cil' `temp_cir' `temp_grid' if `temp_group' == 1, sort `cirr_opt')"' + } + } + else { + local ci_plot_region_r = `""' + } + if ("`plotr_citype'" == "line" | "`plotr_citype'" == "all") { + if ("`cilr_opt'" == "") { + local ci_plot_line_r = `"(rline `temp_cil' `temp_cir' `temp_grid' if `temp_group' == 1, sort color(blue%70))"' + } + else { + local ci_plot_line_r = `"(rline `temp_cil' `temp_cir' `temp_grid' if `temp_group' == 1, sort `cilr_opt')"' + } + } + else { + local ci_plot_line_r = `""' + } + if ("`plotr_citype'" == "ebar" | "`plotr_citype'" == "all") { + if ("`cibr_opt'" == "") { + local ci_plot_ebar_r = `"(rcap `temp_cil' `temp_cir' `temp_grid' if `temp_group' == 1, sort color(blue%70))"' + } + else { + local ci_plot_ebar_r = `"(rcap `temp_cil' `temp_cir' `temp_grid' if `temp_group' == 1, sort `cibr_opt')"' + } + } + else { + local ci_plot_ebar_r = `""' + } + + // point est type check, left + + if ("`plotl_estype'" == "") { + local plotl_estype = "line" + } + else if ("`plotl_estype'" != "both" & "`plotl_estype'" != "line" & "`plotl_estype'" != "point" & "`plotl_estype'" != "none") { + di as err `"plotl_estype(): incorrectly specified: options(line, point, both, none)"' + exit 198 + } + + if ("`plotl_estype'" == "line" | "`plotl_estype'" == "both") { + if ("`esll_opt'" == "") { + local es_plot_line_l = `"(line `temp_f' `temp_grid' if `temp_group' == 0, sort lcolor(red) lwidth("medthin") lpattern(solid))"' + } + else { + local es_plot_line_l = `"(line `temp_f' `temp_grid' if `temp_group' == 0, sort `esll_opt')"' + } + } + else { + local es_plot_line_l = `""' + } + if ("`plotl_estype'" == "point" | "`plotl_estype'" == "both") { + if ("`espl_opt'" == "") { + local es_plot_point_l = `"(scatter `temp_f' `temp_grid' if `temp_group' == 0, sort color(red))"' + } + else { + local es_plot_point_l = `"(scatter `temp_f' `temp_grid' if `temp_group' == 0, sort `espl_opt')"' + } + } + else { + local es_plot_point_l = `""' + } + + // point est type check, right + + if ("`plotr_estype'" == "") { + local plotr_estype = "line" + } + else if ("`plotr_estype'" != "both" & "`plotr_estype'" != "line" & "`plotr_estype'" != "point" & "`plotr_estype'" != "none") { + di as err `"plotr_estype(): incorrectly specified: options(line, point, both, none)"' + exit 198 + } + + if ("`plotr_estype'" == "line" | "`plotr_estype'" == "both") { + if ("`eslr_opt'" == "") { + local es_plot_line_r = `"(line `temp_f' `temp_grid' if `temp_group' == 1, sort lcolor(blue) lwidth("medthin") lpattern(solid))"' + } + else { + local es_plot_line_r = `"(line `temp_f' `temp_grid' if `temp_group' == 1, sort `eslr_opt')"' + } + } + else { + local es_plot_line_r = `""' + } + if ("`plotr_estype'" == "point" | "`plotr_estype'" == "both") { + if ("`espr_opt'" == "") { + local es_plot_point_r = `"(scatter `temp_f' `temp_grid' if `temp_group' == 1, sort color(blue))"' + } + else { + local es_plot_point_r = `"(scatter `temp_f' `temp_grid' if `temp_group' == 1, sort `espr_opt')"' + } + } + else { + local es_plot_point_r = `""' + } + + if (`histogram' == 1) { + if ("`histl_opt'" == "") { + local plot_histogram_l = `"(bar `temp_hist_height' `temp_hist_center' if `temp_hist_center' < `c', barwidth(`hist_width_l') color(red%20))"' + } + else { + local plot_histogram_l = `"(bar `temp_hist_height' `temp_hist_center' if `temp_hist_center' < `c', `histl_opt')"' + } + if ("`histr_opt'" == "") { + local plot_histogram_r = `"(bar `temp_hist_height' `temp_hist_center' if `temp_hist_center' >= `c', barwidth(`hist_width_r') color(blue%20))"' + } + else { + local plot_histogram_r = `"(bar `temp_hist_height' `temp_hist_center' if `temp_hist_center' >= `c', `histr_opt')"' + } + } + else { + local plot_histogram_l = "" + local plot_histogram_r = "" + } + + // graph option check + if (`"`graph_opt'"' == "" ) { + local graph_opt = `"xline(`c', lcolor(black) lwidth(medthin) lpattern(solid)) legend(off) title("Manipulation Testing Plot", color(gs0)) xtitle("`x'") ytitle("")"' + } + + twoway `plot_histogram_l' /// + `plot_histogram_r' /// + `ci_plot_region_l' /// + `ci_plot_line_l' /// + `ci_plot_ebar_l' /// + `ci_plot_region_r' /// + `ci_plot_line_r' /// + `ci_plot_ebar_r' /// + `es_plot_line_l' /// + `es_plot_point_l' /// + `es_plot_line_r' /// + `es_plot_point_r' /// + , /// + `graph_opt' + } + + ereturn clear + ereturn scalar c = `c' + ereturn scalar p = `p' + ereturn scalar q = `q' + ereturn scalar N_l = `N_l' + ereturn scalar N_r = `N_r' + ereturn scalar N_h_l = `N_h_l' + ereturn scalar N_h_r = `N_h_r' + ereturn scalar h_l = `h_l' + ereturn scalar h_r = `h_r' + ereturn scalar f_ql = `f_ql' + ereturn scalar f_qr = `f_qr' + ereturn scalar se_ql = `se_ql' + ereturn scalar se_qr = `se_qr' + ereturn scalar se_q = `se_q' + ereturn scalar pv_q = `pv_q' + ereturn scalar T_q = `T_q' + + if ("`all'"!=""){ + ereturn scalar f_pl = `f_pl' + ereturn scalar f_pr = `f_pr' + ereturn scalar se_pl = `se_pl' + ereturn scalar se_pr = `se_pr' + ereturn scalar se_p = `se_p' + ereturn scalar pv_p = `pv_p' + ereturn scalar T_p = `T_p' + } + + ereturn local runningvar "`runningvar'" + ereturn local kernel "`kernel'" + ereturn local bwmethod "`bwmethod'" + ereturn local vce "`vce'" + + mata: mata clear + +end + diff --git a/30/replication_package/Adofiles/rd_2021/rddensity.sthlp b/30/replication_package/Adofiles/rd_2021/rddensity.sthlp new file mode 100644 index 0000000000000000000000000000000000000000..b9814264c5ec1499a0e362a101a178f827dd7636 --- /dev/null +++ b/30/replication_package/Adofiles/rd_2021/rddensity.sthlp @@ -0,0 +1,450 @@ +{smcl} +{* *!version 2.3 2021-02-28}{...} +{viewerjumpto "Syntax" "rdrobust##syntax"}{...} +{viewerjumpto "Description" "rdrobust##description"}{...} +{viewerjumpto "Options" "rdrobust##options"}{...} +{viewerjumpto "Examples" "rdrobust##examples"}{...} +{viewerjumpto "Saved results" "rdrobust##saved_results"}{...} + +{title:Title} + +{p 4 8}{cmd:rddensity} {hline 2} Manipulation Testing Using Local Polynomial Density Estimation.{p_end} + +{marker syntax}{...} +{title:Syntax} + +{p 4 8}{cmd:rddensity} {it:Var} {ifin} +[{cmd:,} +{p_end} +{p 14 18} +{cmd:c(}{it:#}{cmd:)} +{cmd:p(}{it:#}{cmd:)} +{cmd:q(}{it:#}{cmd:)} +{cmd:fitselect(}{it:FitMethod}{cmd:)} +{cmd:kernel(}{it:KernelFn}{cmd:)} +{cmd:vce(}{it:VceMethod}{cmd:)} +{cmd:nomasspoints} +{cmd:level(}{it:#}{cmd:)} +{cmd:all} +{p_end} +{p 14 18} +{cmd:h(}{it:# #}{cmd:)} +{cmd:bwselect(}{it:BwMethod}{cmd:)} +{cmd:nlocalmin(}{it:#}{cmd:)} +{cmd:nuniquemin(}{it:#}{cmd:)} +{cmd:noregularize} +{p_end} +{p 14 18} +{cmd:bino_n(}{it:#}{cmd:)} +{cmd:bino_nstep(}{it:#}{cmd:)} +{cmd:bino_w(}{it:# #}{cmd:)} +{cmd:bino_wstep(}{it:# #}{cmd:)} +{cmd:bino_nw(}{it:#}{cmd:)} +{cmd:bino_p(}{it:#}{cmd:)} +{cmd:nobinomial} +{p_end} +{p 14 18} +{cmd:plot} +{cmd:plot_range(}{it:# #}{cmd:)} +{cmd:plot_n(}{it:# #}{cmd:)} +{cmd:plot_grid(}{it:GridMethod}{cmd:)} +{cmd:plot_bwselect(}{it:BwMethod}{cmd:)} +{p_end} +{p 14 18} +{cmd:plot_ciuniform} +{cmd:plot_cisimul(}{it:# #}{cmd:)} +{p_end} +{p 14 18} +{cmd:graph_opt(}{it:GraphOpt}{cmd:)} +{cmd:genvars(}{it:NewVarName}{cmd:)} +{p_end} +{p 14 18} +{cmd:plotl_estype(}{it:EstType}{cmd:)} +{cmd:esll_opt(}{it:LineOpt}{cmd:)} +{cmd:espl_opt(}{it:PtOpt}{cmd:)} +{p_end} +{p 14 18} +{cmd:plotr_estype(}{it:EstType}{cmd:)} +{cmd:eslr_opt(}{it:LineOpt}{cmd:)} +{cmd:espr_opt(}{it:PtOpt}{cmd:)} +{p_end} +{p 14 18} +{cmd:plotl_citype(}{it:CIType}{cmd:)} +{cmd: cirl_opt(}{it:AreaOpt}{cmd:)} +{cmd: cill_opt(}{it:LineOpt}{cmd:)} +{cmd: cibl_opt(}{it:EbarOpt}{cmd:)} +{p_end} +{p 14 18} +{cmd:plotr_citype(}{it:CIType}{cmd:)} +{cmd:cirr_opt(}{it:AreaOpt}{cmd:)} +{cmd:cilr_opt(}{it:LineOpt}{cmd:)} +{cmd:cibr_opt(}{it:EbarOpt}{cmd:)} +{p_end} +{p 14 18} +{cmd:hist_range(}{it:# #}{cmd:)} +{cmd:hist_n(}{it:# #}{cmd:)} +{cmd:hist_width(}{it:# #}{cmd:)} +{cmd:histl_opt(}{it:BarOpt}{cmd:)} +{cmd:histr_opt(}{it:BarOpt}{cmd:)} +{cmd:nohistogram} +{p_end} +{p 14 18} +]{p_end} + +{synoptset 28 tabbed}{...} + +{marker description}{...} +{title:Description} + +{p 4 8}{cmd:rddensity} implements manipulation testing procedures using the local polynomial density estimators proposed in +{browse "https://rdpackages.github.io/references/Cattaneo-Jansson-Ma_2020_JASA.pdf":Cattaneo, Jansson and Ma (2020)}, +and implements graphical procedures with valid confidence bands using the results in +{browse "https://rdpackages.github.io/references/Cattaneo-Jansson-Ma_2021_JoE.pdf":Cattaneo, Jansson and Ma (2021)}. +In addition, the command provides complementary manipulation testing based on finite sample exact binomial testing following the results in +{browse "https://rdpackages.github.io/references/Cattaneo-Frandsen-Titiunik_2015_JCI.pdf":Cattaneo, Frandsen and Titiunik (2015)} +and +{browse "https://rdpackages.github.io/references/Cattaneo-Titiunik-VazquezBare_2017_JPAM.pdf":Cattaneo, Frandsen and Vazquez-Bare (2017)}. +For an introduction to manipulation testing see McCrary (2008).{p_end} + +{p 4 8}A detailed introduction to this Stata command is given in {browse "https://rdpackages.github.io/references/Cattaneo-Jansson-Ma_2018_Stata.pdf":Cattaneo, Jansson and Ma (2018)}.{p_end} +{p 8 8}Companion {browse "www.r-project.org":R} functions are also available {browse "https://rdpackages.github.io/rddensity":here}.{p_end} + +{p 4 8}Companion function is {help rdbwdensity:rdbwdensity}. +For graphical procedures, the +{browse "https://nppackages.github.io/lpdensity":lpdensity} +package is required.{p_end} + +{p 4 8}Related Stata and R packages useful for inference in regression discontinuity (RD) designs are described in the following website:{p_end} + +{p 8 8}{browse "https://rdpackages.github.io/":https://rdpackages.github.io/}{p_end} + +{marker options}{...} +{title:Options} + +{dlgtab:Density Estimation} + +{p 4 8}{opt c:}{cmd:(}{it:#}{cmd:)} specifies the threshold or cutoff value in the support of {it:Var}, which determines the two samples (e.g., control and treatment units in RD settings). +Default is {cmd:c(0)}.{p_end} + +{p 4 8}{opt p:}{cmd:(}{it:#}{cmd:)} specifies the local polynomial order used to construct the density estimators. +Default is {cmd:p(2)} (local quadratic approximation).{p_end} + +{p 4 8}{opt q:}{cmd:(}{it:#}{cmd:)} specifies the local polynomial order used to construct the bias-corrected density estimators. +Default is {cmd:q(p(}{it:#}{cmd:)+1)} (local cubic approximation for default {cmd:p(2)}).{p_end} + +{p 4 8}{opt fit:select}{cmd:(}{it:FitMethod}{cmd:)} specifies the density estimation method.{p_end} +{p 8 12}{opt unrestricted}{bind:} for density estimation without any restrictions (two-sample, unrestricted inference). +This is the default option.{p_end} +{p 8 12}{opt restricted}{bind: } for density estimation assuming equal distribution function and higher-order derivatives.{p_end} + +{p 4 8}{opt ker:nel}{cmd:(}{it:KernelFn}{cmd:)} specifies the kernel function used to construct the local polynomial estimators.{p_end} +{p 8 12}{opt triangular}{bind: } {it:K(u) = (1 - |u|) * (|u|<=1)}. +This is the default option.{p_end} +{p 8 12}{opt epanechnikov}{bind:} {it:K(u) = 0.75 * (1 - u^2) * (|u|<=1)}.{p_end} +{p 8 12}{opt uniform}{bind: } {it:K(u) = 0.5 * (|u|<=1)}.{p_end} + +{p 4 8}{opt vce:}{cmd:(}{it:VceMethod}{cmd:)} specifies the procedure used to compute the variance-covariance matrix estimator.{p_end} +{p 8 12}{opt plugin}{bind: } for asymptotic plug-in standard errors.{p_end} +{p 8 12}{opt jackknife}{bind:} for jackknife standard errors. +This is the default option.{p_end} + +{p 4 8}{opt nomass:points} will not adjust for mass points in the data.{p_end} + +{p 4 8}{opt lev:el}{cmd:(}{it:#}{cmd:)} specifies the level of the confidence interval, which should be between 0 and 100. +Default is {cmd:level(95)}.{p_end} + +{p 4 8}{opt all} if specified, {cmd:rddensity} reports two testing procedures:{p_end} +{p 8 12}Conventional test statistic (not valid when using MSE-optimal bandwidth choice).{p_end} +{p 8 12}Robust bias-corrected statistic. +This is the default option.{p_end} + + +{dlgtab:Bandwidth Selection} + +{p 4 8}{opt h:}{cmd:(}{it:#} {it:#}{cmd:)} specifies the bandwidth ({it:h}) used to construct the density estimators on the two sides of the cutoff. +If not specified, the bandwidth {it:h} is computed by the companion command +{help rdbwdensity:rdbwdensity}. +If two bandwidths are specified, the first bandwidth is used for the data below the cutoff and the second bandwidth is used for the data above the cutoff.{p_end} + +{p 4 8}{opt bw:select}{cmd:(}{it:BwMethod}{cmd:)} specifies the bandwidth selection procedure to be used.{p_end} +{p 8 12}{opt each}{bind:} based on MSE of each density estimator separately (two distinct bandwidths, {it:hl} and {it:hr}).{p_end} +{p 8 12}{opt diff}{bind:} based on MSE of difference of two density estimators (one common bandwidth, {it:hl}={it:hr}).{p_end} +{p 8 12}{opt sum}{bind: } based on MSE of sum of two density estimators (one common bandwidth, {it:hl}={it:hr}).{p_end} +{p 8 12}{opt comb}{bind:} bandwidth is selected as a combination of the alternatives above. +This is the default option.{p_end} +{p 13 17}For {cmd:fitselect(}{opt unrestricted}{cmd:)}, it selects median({opt each},{opt diff},{opt sum}).{p_end} +{p 13 17}For {cmd:fitselect(}{opt restricted}{cmd:)}, it selects min({opt diff},{opt sum}).{p_end} + +{p 4 8}{opt nloc:almin}{cmd:(}{it:#}{cmd:)} specifies the minimum number of observations in each local neighborhood. +This option will be ignored if set to 0, or if {cmd:noregularize} is used. +Default is {cmd:20+p(}{it:#}{cmd:)+1}.{p_end} + +{p 4 8}{opt nuni:quemin}{cmd:(}{it:#}{cmd:)} specifies the minimum number of unique observations in each local neighborhood. +This option will be ignored if set to 0, or if {cmd:noregularize} is used. +Default is {cmd:20+p(}{it:#}{cmd:)+1}.{p_end} + +{p 4 8}{opt noreg:ularize} suppresses local sample size checking.{p_end} + + +{dlgtab:Binomial Test} + +{p 4 8}{opt bino_w:}{cmd:(}{it:# #}{cmd:)} specifies the half length(s) of the initial window. +If two values are provided, they will be used for the data below and above the cutoff separately.{p_end} + +{p 4 8}{opt bino_n:}{cmd:(}{it:#}{cmd:)} specifies the sample size in the initial window. +This option will be ignored if {opt bino_w:}{cmd:(}{it:# #}{cmd:)} is provided.{p_end} + +{p 4 8}{opt bino_wstep:}{cmd:(}{it:# #}{cmd:)} specifies the increment in half length(s).{p_end} + +{p 4 8}{opt bino_nstep:}{cmd:(}{it:#}{cmd:)} specifies the increment in sample size. +This option will be ignored if {opt bino_wstep:}{cmd:(}{it:# #}{cmd:)} is provided.{p_end} + +{p 4 8}{opt bino_nw:}{cmd:(}{it:#}{cmd:)} specifies the total number of windows. +Default is {cmd:10}.{p_end} + +{p 4 8}{opt bino_p}{cmd:(}{it:#}{cmd:)} specifies the null hypothesis of the binomial test. +Default is 0.5.{p_end} + +{p 4 8}{opt nobino:mial} suppresses the binomial test. +By default, the initial (smallest) window contains 20 observations, and its length is also used as the increment for subsequent windows.{p_end} + + +{dlgtab:Plotting} + +{p 4 8}{opt pl:ot} if specified, {cmd:rddensity} plots density estimates and confidence intervals/bands around the cutoff (this feature depends on a companion package {help lpdensity:lpdensity}). +Note that additional estimation (computing time) is needed.{p_end} + +{p 4 8}{opt plot_range}{cmd:(}{it:#} {it:#}{cmd:)} specifies the lower and upper bound of the plotting region. +Default is {it:[c-3*hl,c+3*hr]} (three bandwidths around the cutoff).{p_end} + +{p 4 8}{opt plot_n}{cmd:(}{it:#} {it:#}{cmd:)} specifies the number of grid points used for plotting on the two sides of the cutoff. +Default is {cmd:plot_n(10 10)} (i.e., 10 points are used on each side).{p_end} + +{p 4 8}{opt plot_grid}{cmd:(}{it:GridMethod}{cmd:)} specifies how the grid points are positioned. +Options are {opt es} (evenly spaced) and {opt qs} (quantile spaced).{p_end} + +{p 4 8}{opt plot_bwselect}{cmd:(}{it:BwMwthod}{cmd:)} specifies the method for data-driven bandwidth selection. +Options are {cmd:mse-dpi}, {cmd:imse-dpi}, {cmd:mse-rot}, and {cmd:imse-rot}. +See {help lpdensity:lpdensity} for additional details. +If this option is omitted, the same bandwidth(s) used for manipulation testing will be employed.{p_end} + +{p 4 8}{opt plot_ciuniform} plots uniform confidence bands instead of pointwise confidence intervals. +The companion option, {opt plot_cisimul}({it:#}), specifies the number of simulations used to construct critical values. +Default is 2000.{p_end} + +{p 4 8}{opt graph_opt}({it:GraphOpt}) specifies additional options for plotting, such as legends and labels.{p_end} + +{p 4 8}{opt genv:ars}({it:NewVarName}) specifies if new variables should be generated to store estimation results.{p_end} + +{p 4 8}{bf: Remark}. Bias correction is only used for the construction of confidence intervals/bands, but not for point estimation. The point estimates, denoted by f_p, are constructed using local polynomial estimates of order +{cmd:p(}{it:#}{cmd:)}, +while the centering of the confidence intervals/bands, denoted by f_q, are constructed using local polynomial estimates of order +{cmd:q(}{it:#}{cmd:)}. +The confidence intervals/bands take the form: +[f_q - cv * SE(f_q) , f_q + cv * SE(f_q)], +where cv denotes the appropriate critical value and SE(f_q) denotes a standard error estimate for the centering of the confidence interval/band. +As a result, the confidence intervals/bands may not be centered at the point estimates because they have been bias-corrected. Setting +{cmd:q(}{it:#}{cmd:)} +and +{cmd:p(}{it:#}{cmd:)} +to be equal results on centered at the point estimate confidence intervals/bands, but requires undersmoothing for valid inference (i.e., (I)MSE-optimal bandwdith for the density point estimator cannot be used). +Hence the bandwidth would need to be specified manually when +{cmd:q(}{it:#}{cmd:)} = {cmd:p(}{it:#}{cmd:)}, +and the point estimates will not be (I)MSE optimal. See Cattaneo, Jansson and Ma +({browse "https://rdpackages.github.io/references/Cattaneo-Jansson-Ma_2020_JoE.pdf":2020b}, {browse "https://rdpackages.github.io/references/Cattaneo-Jansson-Ma_2020_JSS.pdf":2020c}) +for details, and also Calonico, Cattaneo, and Farrell +({browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Farrell_2018_JASA.pdf":2018}, +{browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Farrell_2020_CEopt.pdf":2020}) +for robust bias correction methods.{p_end} + +{p 8 8} Sometimes the density point estimates may lie outside of the confidence intervals/bands, which can happen if the underlying distribution exhibits high curvature at some evaluation point(s). +One possible solution in this case is to increase the polynomial order {cmd:p(}{it:#}{cmd:)} or to employ a smaller bandwidth.{p_end} + + +{dlgtab:Additional Plotting Options: Histogram} + +{p 4 8}{opt hist_range}{cmd:(}{it:#} {it:#}{cmd:)} specifies the lower and upper bound of the histogram plot. +Default is {it:[c-3*hl,c+3*hr]} (three bandwidths around the cutoff).{p_end} + +{p 4 8}{opt hist_n}{cmd:(}{it:#} {it:#}{cmd:)} specifies the number of histogram bars. +Default is {it:min[sqrt(N),10*log(N)/log(10)]}, where {it:N} is the number of observations within the range specified by {opt hist_range}{cmd:(}{it:#} {it:#}{cmd:)}.{p_end} + +{p 4 8}{opt hist_width}{cmd:(}{it:#} {it:#}{cmd:)} specifies the width of histogram bars. +This option will be ignored if {opt hist_range}{cmd:(}{it:#} {it:#}{cmd:)} is provided.{p_end} + +{p 4 8}{opt nohist:ogram} suppresses the histogram in the background of the plot.{p_end} + + +{dlgtab:Additional Plotting Options: Below the Cutoff} + +{p 4 8}{opt plotl_estype}{cmd:(}{it:EstType}{cmd:)} specifies the plotting style of point estimates.{p_end} +{p 8 12}{opt line}{bind: } a curve. +This is the default option.{p_end} +{p 8 12}{opt points}{bind:} individual points.{p_end} +{p 8 12}{opt both}{bind: } both of the above.{p_end} +{p 8 12}{opt none}{bind: } will not plot point estimates.{p_end} + +{p 4 8}{opt esll_opt}{cmd:(}{it:LineOpt}{cmd:)}{bind:} specifies additional {cmd:twoway line}{bind: } options for plotting point estimates.{p_end} + +{p 4 8}{opt espl_opt}{cmd:(}{it:PtOpt}{cmd:)}{bind: } specifies additional {cmd:twoway scatter}{bind:} options for plotting point estimates.{p_end} + +{p 4 8}{opt plotl_citype}{cmd:(}{it:EstType}{cmd:)} specifies the plotting style of confidence intervals/bands.{p_end} +{p 8 12}{opt region}{bind:} shaded region. +This is the default option.{p_end} +{p 8 12}{opt line}{bind: } upper and lower bounds.{p_end} +{p 8 12}{opt ebar}{bind: } error bars.{p_end} +{p 8 12}{opt all}{bind: } all of the above.{p_end} +{p 8 12}{opt none}{bind: } will not plot confidence intervals/bands.{p_end} + +{p 4 8}{opt cirl_opt}{cmd:(}{it:AreaOpt}{cmd:)}{bind:} specifies additional {cmd:twoway rarea}{bind:} options for plotting confidence intervals/regions.{p_end} + +{p 4 8}{opt cill_opt}{cmd:(}{it:LineOpt}{cmd:)}{bind:} specifies additional {cmd:twoway rline}{bind:} options for plotting confidence intervals/regions.{p_end} + +{p 4 8}{opt cibl_opt}{cmd:(}{it:EbarOpt}{cmd:)}{bind:} specifies additional {cmd:twoway rcap}{bind:} options for plotting confidence intervals/regions.{p_end} + +{p 4 8}{opt histl_opt}{cmd:(}{it:BarOpt}{cmd:)}{bind:} specifies additional {cmd:twoway bar}{bind:} options for histogram.{p_end} + + +{dlgtab:Additional Plotting Options: Above the Cutoff} + +{p 4 8}{opt plotr_estype}{cmd:(}{it:EstType}{cmd:)} specifies the plotting style of point estimates.{p_end} +{p 8 12}{opt line}{bind: } a curve. +This is the default option.{p_end} +{p 8 12}{opt points}{bind:} individual points.{p_end} +{p 8 12}{opt both}{bind: } both of the above.{p_end} +{p 8 12}{opt none}{bind: } will not plot point estimates.{p_end} + +{p 4 8}{opt eslr_opt}{cmd:(}{it:LineOpt}{cmd:)}{bind:} specifies additional {cmd:twoway line}{bind:} options for plotting point estimates.{p_end} + +{p 4 8}{opt espr_opt}{cmd:(}{it:PtOpt}{cmd:)}{bind:} specifies additional {cmd:twoway scatter}{bind:} options for plotting point estimates.{p_end} + +{p 4 8}{opt plotr_citype}{cmd:(}{it:EstType}{cmd:)} specifies the plotting style of confidence intervals/bands.{p_end} +{p 8 12}{opt region}{bind:} shaded region. +This is the default option.{p_end} +{p 8 12}{opt line}{bind: } upper and lower bounds.{p_end} +{p 8 12}{opt ebar}{bind: } error bars.{p_end} +{p 8 12}{opt all}{bind: } all of the above.{p_end} +{p 8 12}{opt none}{bind: } will not plot confidence intervals/bands.{p_end} + +{p 4 8}{opt cirr_opt}{cmd:(}{it:AreaOpt}{cmd:)}{bind:} specifies additional {cmd:twoway rarea}{bind:} options for plotting confidence intervals/regions.{p_end} + +{p 4 8}{opt cilr_opt}{cmd:(}{it:LineOpt}{cmd:)}{bind:} specifies additional {cmd:twoway rline}{bind:} options for plotting confidence intervals/regions.{p_end} + +{p 4 8}{opt cibr_opt}{cmd:(}{it:EbarOpt}{cmd:)}{bind:} specifies additional {cmd:twoway rcap}{bind:} options for plotting confidence intervals/regions.{p_end} + +{p 4 8}{opt histr_opt}{cmd:(}{it:BarOpt}{cmd:)}{bind:} specifies additional {cmd:twoway bar}{bind:} options for histogram.{p_end} + + +{marker examples}{...} +{title:Example: Cattaneo, Frandsen and Titiunik (2015) Incumbency Data}. + +{p 4 8}Load dataset (cutoff is 0 in this dataset):{p_end} +{p 8 8}{cmd:. use rddensity_senate.dta}{p_end} + +{p 4 8}Manipulation test using default options: {p_end} +{p 8 8}{cmd:. rddensity margin}{p_end} + +{p 4 8}Reporting both conventional and robust bias-corrected statistics:{p_end} +{p 8 8}{cmd:. rddensity margin, all}{p_end} + +{p 4 8}Manipulation test using manual bandwidths choices and plug-in standard errors:{p_end} +{p 8 8}{cmd:. rddensity margin, h(10 20) vce(plugin)}{p_end} + +{p 4 8}Plot density and save results to variables:{p_end} +{p 8 8}{cmd:. capture drop temp_*}{p_end} +{p 8 8}{cmd:. rddensity margin, pl plot_range(-50 50) plot_n(100 100) genvars(temp) }{p_end} + + +{marker saved_results}{...} +{title:Saved results} + +{p 4 8}{cmd:rddensity} saves the following in {cmd:e()}: + +{synoptset 20 tabbed}{...} +{p2col 5 20 24 2: Macros}{p_end} +{synopt:{cmd:e(c)}}cutoff value{p_end} +{synopt:{cmd:e(p)}}order of the polynomial used for density estimation{p_end} +{synopt:{cmd:e(q)}}order of the polynomial used for bias-correction estimation{p_end} + +{synopt:{cmd:e(N_l)}}sample size to the left of the cutoff{p_end} +{synopt:{cmd:e(N_r)}}sample size to the right of the cutoff{p_end} +{synopt:{cmd:e(N_h_l)}}effective sample size (within bandwidth) to the left of the cutoff{p_end} +{synopt:{cmd:e(N_h_r)}}effective sample size (within bandwidth) to the right of the cutoff{p_end} +{synopt:{cmd:e(h_l)}}bandwidth used to the left of the cutoff{p_end} +{synopt:{cmd:e(h_r)}}bandwidth used to the right of the cutoff{p_end} + +{synopt:{cmd:e(f_ql)}}bias-corrected density estimate to the left of the cutoff{p_end} +{synopt:{cmd:e(f_qr)}}bias-corrected density estimate to the right of the cutoff{p_end} +{synopt:{cmd:e(se_ql)}}standard error for bias-corrected density estimate to the left of the cutoff{p_end} +{synopt:{cmd:e(se_qr)}}standard error for bias-corrected density estimate to the right of the cutoff{p_end} +{synopt:{cmd:e(se_q)}}standard error for bias-corrected density test{p_end} +{synopt:{cmd:e(T_q)}}bias-corrected t-statistic{p_end} +{synopt:{cmd:e(pv_q)}}p-value for bias-corrected density test{p_end} + +{synopt:{cmd:e(runningvar)}}running variable used{p_end} +{synopt:{cmd:e(kernel)}}kernel used{p_end} +{synopt:{cmd:e(fitmethod)}}model used{p_end} +{synopt:{cmd:e(bwmethod)}}bandwidth selection method used{p_end} +{synopt:{cmd:e(vce)}}standard errors estimator used{p_end} + +{p2col 5 20 24 2: Only available if {cmd:all} is specified:}{p_end} +{synopt:{cmd:e(f_pl)}}density estimate to the left of the cutoff without bias correction {p_end} +{synopt:{cmd:e(f_pr)}}density estimate to the right of the cutoff without bias correction{p_end} +{synopt:{cmd:e(se_pl)}}standard error for density estimate to the left of the cutoff without bias correction{p_end} +{synopt:{cmd:e(se_pr)}}standard error for density estimate to the right of the cutoff without bias correction{p_end} +{synopt:{cmd:e(se_p)}}standard error for density test without bias correction{p_end} +{synopt:{cmd:e(T_p)}}t-statistic without bias correction{p_end} +{synopt:{cmd:e(pv_p)}}p-value for density test without bias correction{p_end} + + +{title:References} + +{p 4 8}Calonico, S., M. D. Cattaneo, and M. H. Farrell. 2018. +{browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Farrell_2018_JASA.pdf":On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference}.{p_end} +{p 8 8}{it:Journal of the American Statistical Association} 113(522): 767-779.{p_end} + +{p 4 8}Calonico, S., M. D. Cattaneo, and M. H. Farrell. 2020. +{browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Farrell_2020_CEopt.pdf":Coverage Error Optimal Confidence Intervals for Local Polynomial Regression}.{p_end} +{p 8 8}Working paper.{p_end} + +{p 4 8}Cattaneo, M. D., B. Frandsen, and R. Titiunik. 2015. +{browse "https://rdpackages.github.io/references/Cattaneo-Frandsen-Titiunik_2015_JCI.pdf":Randomization Inference in the Regression Discontinuity Design: An Application to the Study of Party Advantages in the U.S. Senate}.{p_end} +{p 8 8}{it:Journal of Causal Inference} 3(1): 1-24.{p_end} + +{p 4 8}Cattaneo, M. D., M. Jansson, and X. Ma. 2018. +{browse "https://rdpackages.github.io/references/Cattaneo-Jansson-Ma_2018_Stata.pdf": Manipulation Testing based on Density Discontinuity}.{p_end} +{p 8 8}{it:Stata Journal} 18(1): 234-261.{p_end} + +{p 4 8}Cattaneo, M. D., M. Jansson, and X. Ma. 2020. +{browse "https://rdpackages.github.io/references/Cattaneo-Jansson-Ma_2020_JASA.pdf":Simple Local Polynomial Density Estimators}.{p_end} +{p 8 8}{it:Journal of the American Statistical Association} 115(531): 1449-1455.{p_end} + +{p 4 8}Cattaneo, M. D., M. Jansson, and X. Ma. 2021a. +{browse "https://rdpackages.github.io/references/Cattaneo-Jansson-Ma_2021_JoE.pdf":Local Regression Distribution Estimators}.{p_end} +{p 8 8}{it:Journal of Econometrics}, forthcoming.{p_end} + +{p 4 8}Cattaneo, M. D., Michael Jansson, and Xinwei Ma. 2021b. +{browse "https://rdpackages.github.io/references/Cattaneo-Jansson-Ma_2021_JSS.pdf":lpdensity: Local Polynomial Density Estimation and Inference}.{p_end} +{p 8 8}{it:Journal of Statistical Software}, forthcoming.{p_end} + +{p 4 8}Cattaneo, M. D., Titiunik, R. and G. Vazquez-Bare. 2017. +{browse "https://rdpackages.github.io/references/Cattaneo-Titiunik-VazquezBare_2017_JPAM.pdf":Comparing Inference Approaches for RD Designs: A Reexamination of the Effect of Head Start on Child Mortality}.{p_end} +{p 8 8}{it:Journal of Policy Analysis and Management} 36(3): 643-681.{p_end} + +{p 4 8}McCrary, J. 2008. Manipulation of the Running Variable in the Regression Discontinuity Design: A Density Test.{p_end} +{p 8 8}{it:Journal of Econometrics} 142(2): 698-714.{p_end} + + +{title:Authors} + +{p 4 8}Matias D. Cattaneo, Princeton University, Princeton, NJ. +{browse "mailto:cattaneo@princeton.edu":cattaneo@princeton.edu}.{p_end} + +{p 4 8}Michael Jansson, University of California Berkeley, Berkeley, CA. +{browse "mailto:mjansson@econ.berkeley.edu":mjansson@econ.berkeley.edu}.{p_end} + +{p 4 8}Xinwei Ma, University of California San Diego, La Jolla, CA. +{browse "mailto:x1ma@ucsd.edu":x1ma@ucsd.edu}.{p_end} + + + diff --git a/30/replication_package/Adofiles/rd_2021/rddensity_fv.mo b/30/replication_package/Adofiles/rd_2021/rddensity_fv.mo new file mode 100644 index 0000000000000000000000000000000000000000..ce101e5351e7266103f62b0576f1aa74136d4a40 Binary files /dev/null and b/30/replication_package/Adofiles/rd_2021/rddensity_fv.mo differ diff --git a/30/replication_package/Adofiles/rd_2021/rddensity_h.mo b/30/replication_package/Adofiles/rd_2021/rddensity_h.mo new file mode 100644 index 0000000000000000000000000000000000000000..7ce0af47f3f4968ce7538b4706be83b50f6f5ff2 Binary files /dev/null and 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/dev/null and b/30/replication_package/Adofiles/rd_2021/rddensity_unique.mo differ diff --git a/30/replication_package/Adofiles/rd_2021/rdplot.ado b/30/replication_package/Adofiles/rd_2021/rdplot.ado new file mode 100644 index 0000000000000000000000000000000000000000..633af644d782fd868788478a20c2ae7b1a675b06 --- /dev/null +++ b/30/replication_package/Adofiles/rd_2021/rdplot.ado @@ -0,0 +1,796 @@ +*!version 8.1.0 2021-02-22 + +capture program drop rdplot +program define rdplot, eclass + syntax anything [if] [, c(real 0) p(integer 4) nbins(string) covs(string) covs_eval(string) covs_drop(string) binselect(string) scale(string) kernel(string) weights(string) h(string) k(integer 4) support(string) masspoints(string) genvars hide ci(real 0) shade graph_options(string) nochecks *] + + marksample touse + tokenize "`anything'" + local y `1' + local x `2' + + ******************** Set BW *************************** + tokenize `h' + local w : word count `h' + if `w' == 1 { + local h_r = `"`1'"' + local h_l = `"`1'"' + } + if `w' == 2 { + local h_l `"`1'"' + local h_r `"`2'"' + } + if `w' >= 3 { + di as error "{err}{cmd:h()} accepts at most two inputs" + exit 125 + } + ******************** Set scale *************************** + tokenize `scale' + local w : word count `scale' + if `w' == 1 { + local scale_r = `"`1'"' + local scale_l = `"`1'"' + } + if `w' == 2 { + local scale_l `"`1'"' + local scale_r `"`2'"' + } + if `w' >= 3 { + di as error "{err}{cmd:scale()} accepts at most two inputs" + exit 125 + } + ******************** Set nbins *************************** + tokenize `nbins' + local w : word count `nbins' + if `w' == 1 { + local nbins_r = `"`1'"' + local nbins_l = `"`1'"' + } + if `w' == 2 { + local nbins_l `"`1'"' + local nbins_r `"`2'"' + } + if `w' >= 3 { + di as error "{err}{cmd:nbins()} accepts at most two inputs" + exit 125 + } + ******************** Set support *************************** + tokenize `support' + local w : word count `support' + if `w' == 2 { + local support_l = `"`1'"' + local support_r = `"`2'"' + } + if (`w' != 2 & "`support'"!="") { + di as error "{err}{cmd:support()} only accepts two inputs" + exit 125 + } + + ***************************************** + preserve + sort `x', stable + qui keep if `touse' + + ***************************************************************** + **** DROP MISSINGS ****************************************** + ***************************************************************** + qui drop if `y'==. | `x'==. + if ("`covs'"~="") { + qui ds `covs' + local covs_list = r(varlist) + local ncovs: word count `covs_list' + foreach z in `covs_list' { + qui drop if `z'==. + } + } + + **** CHECK colinearity ****************************************** + local covs_drop_coll = 0 + if ("`covs_drop'"=="") local covs_drop = "pinv" + if ("`covs'"~="") { + + if ("`covs_drop'"=="invsym") local covs_drop_coll = 1 + if ("`covs_drop'"=="pinv") local covs_drop_coll = 2 + + qui _rmcoll `covs_list' + local nocoll_controls_cat `r(varlist)' + local nocoll_controls "" + foreach myString of local nocoll_controls_cat { + if ~strpos("`myString'", "o."){ + if ~strpos("`myString'", "MYRUNVAR"){ + local nocoll_controls "`nocoll_controls' `myString'" + } + } + } + local covs_new `nocoll_controls' + qui ds `covs_new', alpha + local covs_list_new = r(varlist) + local ncovs_new: word count `covs_list_new' + + if (`ncovs_new'<`ncovs') { + if ("`covs_drop'"=="off") { + di as error "{err}Multicollinearity issue detected in {cmd:covs}. Please rescale and/or remove redundant covariates, or add {cmd:covs_drop} option." + exit 125 + } + else { + local ncovs = "`ncovs_new'" + local covs_list = "`covs_list_new'" + *local covs_drop_coll = 1 + } + } + } + + + + + **** DEFAULTS *************************************** + if ("`masspoints'"=="") local masspoints = "adjust" + if ("`covs_eval'"=="") local covs_eval = "mean" + ***************************************************************** + + + + qui su `x' + local N = r(N) + local x_min = r(min) + local x_max = r(max) + if ("`support'"!="") { + if (`support_l'<`x_min') { + local x_min = `support_l' + } + if (`support_r'>`x_max') { + local x_max = `support_r' + } + } + local range_l = abs(`c'-`x_min') + local range_r = abs(`x_max'-`c') + + qui su `x' if `x'<`c', d + local n_l = r(N) + + qui su `x' if `x'>=`c', d + local n_r = r(N) + local n = `n_r' + `n_l' + + qui su `y' if `x'<`c' + local var_l = r(sd) + + qui su `y' if `x'>=`c' + local var_r = r(sd) + + if ("`h_l'"=="" & "`h_r'"=="") { + local h_l = `range_l' + local h_r = `range_r' + } + if "`kernel'"=="" local kernel = "uni" + + qui count if `x'<`c' & `x'>=`c'-`h_l' + local n_h_l = r(N) + qui count if `x'>=`c' & `x'<=`c'+`h_r' + local n_h_r = r(N) + + **************************** ERRORS + if ("`scale_l'"=="" & "`scale_r'"=="") { + local scale_r = 1 + local scale_l = 1 + } + if ("`nbins_l'"=="" & "`nbins_r'"=="") { + local nbins_r = 0 + local nbins_l = 0 + } + + if ("`binselect'"=="") { + local binselect = "esmv" + } + + if ("`nochecks'"=="") { + if (`c'<=`x_min' | `c'>=`x_max'){ + di as error "{err}{cmd:c()} should be set within the range of `x'" + exit 125 + } + + if ("`p'"<"0" | "`nbins_l'"<"0" | "`nbins_r'"<"0"){ + di as error "{err}{cmd:p()} and {cmd:nbins()} should be a positive integers" + exit 411 + } + + if ("`k'"<="0"){ + di as error "{err}{cmd:k()} should be a positive integer" + exit 411 + } + + if (`n'<20){ + di as error "{err}Not enough observations to perform bin calculations" + exit 2001 + } + } + + + ******************************* + ****** Start MATA ************* + ******************************* + mata{ + n_l=`n_l' + n_r=`n_r' + p=`p' + k=`k' + n=`n' + c=`c' + x_min = `x_min' + x_max = `x_max' + h_l = strtoreal("`h_l'"); h_r = strtoreal("`h_r'") + nbins_l = strtoreal("`nbins_l'"); nbins_r = strtoreal("`nbins_r'") + scale_l = strtoreal("`scale_l'"); scale_r = strtoreal("`scale_r'") + + y = st_data(.,("`y'"), 0); x = st_data(.,("`x'"), 0) + x_l = select(x,x:=c) + y_l = select(y,x:=c) + + *** Mass points check ******************************************** + masspoints_found = 0 + if ("`masspoints'"=="check" | "`masspoints'"=="adjust") { + X_uniq_l = sort(uniqrows(x_l),-1) + X_uniq_r = uniqrows(x_r) + M_l = length(X_uniq_l) + M_r = length(X_uniq_r) + M = M_l + M_r + st_numscalar("M_l", M_l); st_numscalar("M_r", M_r) + mass_l = 1-M_l/n_l + mass_r = 1-M_r/n_r + if (mass_l>=0.1 | mass_r>=0.1){ + masspoints_found = 1 + display("{err}Mass points detected in the running variable.") + if ("`masspoints'"=="adjust") { + if ("`binselect'"=="es") st_local("binselect","espr") + if ("`binselect'"=="esmv") st_local("binselect","esmvpr") + if ("`binselect'"=="qs") st_local("binselect","qspr") + if ("`binselect'"=="qsmv") st_local("binselect","qsmvpr") + } + if ("`masspoints'"=="check") display("{err}Try using option {cmd:masspoints(adjust)}.") + + } + } + ****************************************************************************************** + + } + + mata{ + + *if ("`hide'"=="" | "`genvars'"!="" ){ + + ************************************************************ + ************ Polynomial curve (order = p) ****************** + ************************************************************ + + if ("`covs'"=="") { + + rp_l = J(n_l,(p+1),.) + rp_r = J(n_r,(p+1),.) + for (j=1; j<=(p+1); j++) { + rp_l[.,j] = (x_l:-c):^(j-1) + rp_r[.,j] = (x_r:-c):^(j-1) + } + + wh_l = rdrobust_kweight(x_l,c,h_l,"`kernel'") + wh_r = rdrobust_kweight(x_r,c,h_r,"`kernel'") + + if ("`weights'"~="") { + fw = st_data(.,("`weights'"), 0) + fw_l = select(fw,x:=c) + wh_l = fw_l:*wh_l; wh_r = fw_r:*wh_r + } + + + gamma_p1_l = cholinv(cross(rp_l,wh_l,rp_l))*cross(rp_l, wh_l, y_l) + gamma_p1_r = cholinv(cross(rp_r,wh_r,rp_r))*cross(rp_r, wh_r, y_r) + + + + } else { + + Y = st_data(.,("`y'"), 0); X = st_data(.,("`x'"), 0) + X_l = select(X,X:<`c'); X_r = select(X,X:>=`c') + Y_l = select(Y,X:<`c'); Y_r = select(Y,X:>=`c') + h_l = strtoreal("`h_l'"); h_r = strtoreal("`h_r'") + w_h_l = rdrobust_kweight(X_l,`c',h_l,"`kernel'"); w_h_r = rdrobust_kweight(X_r,`c',h_r,"`kernel'") + ind_l = selectindex(w_h_l:> 0); ind_r = selectindex(w_h_r:> 0) + + eY_l = Y_l[ind_l]; eY_r = Y_r[ind_r] + eX_l = X_l[ind_l]; eX_r = X_r[ind_r] + W_h_l = w_h_l[ind_l]; W_h_r = w_h_r[ind_r] + + u_l = (eX_l:-`c')/h_l; u_r = (eX_r:-`c')/h_r; + R_p_l = J(length(ind_l),(`p'+1),.); R_p_r = J(length(ind_r),(`p'+1),.) + for (j=1; j<=(`p'+1); j++) { + R_p_l[.,j] = (eX_l:-`c'):^(j-1); R_p_r[.,j] = (eX_r:-`c'):^(j-1) + } + + L_l = quadcross(R_p_l:*W_h_l,u_l:^(`p'+1)); L_r = quadcross(R_p_r:*W_h_r,u_r:^(`p'+1)) + + + invG_p_l = cholinv(quadcross(R_p_l,W_h_l,R_p_l)); + invG_p_r = cholinv(quadcross(R_p_r,W_h_r,R_p_r)) + + Z = st_data(.,tokens("`covs'"), 0); dZ = cols(Z) + Z_l = select(Z,X:<`c'); eZ_l = Z_l[ind_l,] + Z_r = select(Z,X:>=`c'); eZ_r = Z_r[ind_r,] + D_l = eY_l,eZ_l; D_r = eY_r,eZ_r + U_p_l = quadcross(R_p_l:*W_h_l,D_l); U_p_r = quadcross(R_p_r:*W_h_r,D_r) + + beta_p_l = invG_p_l*quadcross(R_p_l:*W_h_l,D_l) + beta_p_r = invG_p_r*quadcross(R_p_r:*W_h_r,D_r) + + ZWD_p_l = quadcross(eZ_l,W_h_l,D_l) + ZWD_p_r = quadcross(eZ_r,W_h_r,D_r) + colsZ = (2)::(2+dZ-1) + + UiGU_p_l = quadcross(U_p_l[,colsZ],invG_p_l*U_p_l) + UiGU_p_r = quadcross(U_p_r[,colsZ],invG_p_r*U_p_r) + ZWZ_p_l = ZWD_p_l[,colsZ] - UiGU_p_l[,colsZ] + ZWZ_p_r = ZWD_p_r[,colsZ] - UiGU_p_r[,colsZ] + ZWY_p_l = ZWD_p_l[,1] - UiGU_p_l[,1] + ZWY_p_r = ZWD_p_r[,1] - UiGU_p_r[,1] + ZWZ_p = ZWZ_p_r + ZWZ_p_l + ZWY_p = ZWY_p_r + ZWY_p_l + + if ("`covs_drop_coll'"=="0") gamma_p = cholinv(ZWZ_p)*ZWY_p + if ("`covs_drop_coll'"=="1") gamma_p = invsym(ZWZ_p)*ZWY_p + if ("`covs_drop_coll'"=="2") gamma_p = pinv(ZWZ_p)*ZWY_p + + + s_Y = (1 \ -gamma_p[,1]) + gamma_p1_l = (s_Y'*beta_p_l')' + gamma_p1_r = (s_Y'*beta_p_r')' + } + + st_matrix("gamma_p1_l", gamma_p1_l) + st_matrix("gamma_p1_r", gamma_p1_r) + + *********** Preparte data for polynomial curve plot ***** + nplot = 500 + x_plot_l = rangen(c-h_l,c,nplot) + x_plot_r = rangen(c,c+h_r,nplot) + rplot_l = J(nplot,(p+1),.) + rplot_r = J(nplot,(p+1),.) + for (j=1; j<=(p+1); j++) { + rplot_l[.,j] = (x_plot_l:-c):^(j-1) + rplot_r[.,j] = (x_plot_r:-c):^(j-1) + } + + gammaZ = 0 + if ("`covs_eval'"=="mean" & "`covs'"!="") gammaZ = mean(Z)*gamma_p + + *yhat_x = (R_p_l*gamma_p1_l \ R_p_r*gamma_p1_r ) :+ gammaZ + *resid_yz = y-Z*gamma_p + + y_plot_l = rplot_l*gamma_p1_l :+ gammaZ + y_plot_r = rplot_r*gamma_p1_r :+ gammaZ + + *} + + ******************************************************* + **** Optimal Bins (using polynomial order k) ********** + ******************************************************* + rk_l = J(n_l,(k+1),.) + rk_r = J(n_r,(k+1),.) + for (j=1; j<=(k+1); j++) { + rk_l[.,j] = x_l:^(j-1) + rk_r[.,j] = x_r:^(j-1) + } + gamma_k1_l = invsym(cross(rk_l,rk_l))*cross(rk_l,y_l) + gamma_k2_l = invsym(cross(rk_l,rk_l))*cross(rk_l,y_l:^2) + gamma_k1_r = invsym(cross(rk_r,rk_r))*cross(rk_r,y_r) + gamma_k2_r = invsym(cross(rk_r,rk_r))*cross(rk_r,y_r:^2) + + *** Bias w/sample + mu0_k1_l = rk_l*gamma_k1_l + mu0_k1_r = rk_r*gamma_k1_r + mu0_k2_l = rk_l*gamma_k2_l + mu0_k2_r = rk_r*gamma_k2_r + drk_l = J(n_l,k,.) + drk_r = J(n_r,k,.) + for (j=1; j<=k; j++) { + drk_l[.,j] = j*x_l:^(j-1) + drk_r[.,j] = j*x_r:^(j-1) + } + + dxi_l=(x_l[2::length(x_l)]-x_l[1::(length(x_l)-1)]) + dxi_r=(x_r[2::length(x_r)]-x_r[1::(length(x_r)-1)]) + dyi_l=(y_l[2::length(y_l)]-y_l[1::(length(y_l)-1)]) + dyi_r=(y_r[2::length(y_r)]-y_r[1::(length(y_r)-1)]) + + x_bar_i_l = (x_l[2::length(x_l)]+x_l[1::(length(x_l)-1)])/2 + x_bar_i_r = (x_r[2::length(x_r)]+x_r[1::(length(x_r)-1)])/2 + + drk_i_l = J(n_l-1,k,.); rk_i_l = J(n_l-1,(k+1),.) + drk_i_r = J(n_r-1,k,.); rk_i_r = J(n_r-1,(k+1),.) + + for (j=1; j<=(k+1); j++) { + rk_i_l[.,j] = x_bar_i_l:^(j-1) + rk_i_r[.,j] = x_bar_i_r:^(j-1) + } + + for (j=1; j<=k; j++) { + drk_i_l[.,j] = j*x_bar_i_l:^(j-1) + drk_i_r[.,j] = j*x_bar_i_r:^(j-1) + } + mu1_i_hat_l = drk_i_l*(gamma_k1_l[2::(k+1)]) + mu1_i_hat_r = drk_i_r*(gamma_k1_r[2::(k+1)]) + + mu0_i_hat_l = rk_i_l*gamma_k1_l + mu0_i_hat_r = rk_i_r*gamma_k1_r + mu2_i_hat_l = rk_i_l*gamma_k2_l + mu2_i_hat_r = rk_i_r*gamma_k2_r + + mu0_hat_l = rk_l*gamma_k1_l + mu0_hat_r = rk_r*gamma_k1_r + mu2_hat_l = rk_l*gamma_k2_l + mu2_hat_r = rk_r*gamma_k2_r + + mu1_hat_l = drk_l*(gamma_k1_l[2::(k+1)]) + mu1_hat_r = drk_r*(gamma_k1_r[2::(k+1)]) + + mu1_i_hat_l = drk_i_l*(gamma_k1_l[2::(k+1)]) + mu1_i_hat_r = drk_i_r*(gamma_k1_r[2::(k+1)]) + + sigma2_hat_l_bar = mu2_i_hat_l - mu0_i_hat_l:^2 + sigma2_hat_r_bar = mu2_i_hat_r - mu0_i_hat_r:^2 + + sigma2_hat_l = mu2_hat_l - mu0_hat_l:^2 + sigma2_hat_r = mu2_hat_r - mu0_hat_r:^2 + + var_y_l = variance(y_l) + var_y_r = variance(y_r) + + B_es_hat_dw = (((c-x_min)^2/(12*n))*sum(mu1_hat_l:^2),((x_max-c)^2/(12*n))*sum(mu1_hat_r:^2)) + V_es_hat_dw = ((0.5/(c-x_min))*sum(dxi_l:*dyi_l:^2),(0.5/(x_max-c))*sum(dxi_r:*dyi_r:^2)) + V_es_chk_dw = ((1/(c-x_min))*sum(dxi_l:*sigma2_hat_l_bar),(1/(x_max-c))*sum(dxi_r:*sigma2_hat_r_bar)) + J_es_hat_dw = ceil((((2*B_es_hat_dw):/V_es_hat_dw)*n):^(1/3)) + J_es_chk_dw = ceil((((2*B_es_hat_dw):/V_es_chk_dw)*n):^(1/3)) + + B_qs_hat_dw = ((n_l^2/(24*n))*sum(dxi_l:^2:*mu1_i_hat_l:^2), (n_r^2/(24*n))*sum(dxi_r:^2:*mu1_i_hat_r:^2)) + V_qs_hat_dw = ((1/(2*n_l))*sum(dyi_l:^2),(1/(2*n_r))*sum(dyi_r:^2)) + V_qs_chk_dw = ((1/n_l)*sum(sigma2_hat_l), (1/n_r)*sum(sigma2_hat_r)) + J_qs_hat_dw = ceil((((2*B_qs_hat_dw):/V_qs_hat_dw)*n):^(1/3)) + J_qs_chk_dw = ceil((((2*B_qs_hat_dw):/V_qs_chk_dw)*n):^(1/3)) + + J_es_hat_mv = (ceil((var_y_l/V_es_hat_dw[1])*(n/log(n)^2)), ceil((var_y_r/V_es_hat_dw[2])*(n/log(n)^2))) + J_es_chk_mv = (ceil((var_y_l/V_es_chk_dw[1])*(n/log(n)^2)), ceil((var_y_r/V_es_chk_dw[2])*(n/log(n)^2))) + J_qs_hat_mv = (ceil((var_y_l/V_qs_hat_dw[1])*(n/log(n)^2)), ceil((var_y_r/V_qs_hat_dw[2])*(n/log(n)^2))) + J_qs_chk_mv = (ceil((var_y_l/V_qs_chk_dw[1])*(n/log(n)^2)), ceil((var_y_r/V_qs_chk_dw[2])*(n/log(n)^2))) + + if ("`binselect'"=="es" ) { + J_star_l_orig = J_es_hat_dw[1] + J_star_r_orig = J_es_hat_dw[2] + } + + if ("`binselect'"=="esmv" | "`binselect'"=="") { + J_star_l_orig = J_es_hat_mv[1] + J_star_r_orig = J_es_hat_mv[2] + } + + if ("`binselect'"=="espr" ) { + J_star_l_orig = J_es_chk_dw[1] + J_star_r_orig = J_es_chk_dw[2] + } + + if ("`binselect'"=="esmvpr" ) { + J_star_l_orig = J_es_chk_mv[1] + J_star_r_orig = J_es_chk_mv[2] + } + + if ("`binselect'"=="qs" ) { + J_star_l_orig = J_qs_hat_dw[1] + J_star_r_orig = J_qs_hat_dw[2] + } + + if ("`binselect'"=="qsmv" ) { + J_star_l_orig = J_qs_hat_mv[1] + J_star_r_orig = J_qs_hat_mv[2] + } + + if ("`binselect'"=="qspr" ) { + J_star_l_orig = J_qs_chk_dw[1] + J_star_r_orig = J_qs_chk_dw[2] + } + + if ("`binselect'"=="qsmvpr" ) { + J_star_l_orig = J_qs_chk_mv[1] + J_star_r_orig = J_qs_chk_mv[2] + } + + if (nbins_l!=0 & nbins_r!=0) { + J_star_l_orig = nbins_l + J_star_r_orig = nbins_r + } + + if (`var_l'==0) { + J_star_l = 1 + J_star_l_orig = 1 + display("{err}Warning: not enough variability in the outcome variable below the threshold") + } + if (`var_r'==0) { + J_star_r = 1 + J_star_r_orig = 1 + display("{err}Warning: not enough variability in the outcome variable above the threshold") + } + + J_star_l = round(`scale_l'*J_star_l_orig) + J_star_r = round(`scale_r'*J_star_r_orig) + + st_numscalar("nbins_l", nbins_l) + st_numscalar("nbins_r", nbins_r) + st_numscalar("J_star_l", J_star_l) + st_numscalar("J_star_r", J_star_r) + st_numscalar("J_star_l_orig", J_star_l_orig) + st_numscalar("J_star_r_orig", J_star_r_orig) + + st_matrix("J_es_hat_dw", J_es_hat_dw) + st_matrix("J_qs_hat_dw", J_qs_hat_dw) + st_matrix("J_es_chk_dw", J_es_chk_dw) + st_matrix("J_qs_chk_dw", J_qs_chk_dw) + st_matrix("J_es_hat_mv", J_es_hat_mv) + st_matrix("J_qs_hat_mv", J_qs_hat_mv) + st_matrix("J_es_chk_mv", J_es_chk_mv) + st_matrix("J_qs_chk_mv", J_qs_chk_mv) + } + + + ******************************************************** + **** Generate id and rdplot vars *********************** + ******************************************************** + local J_star_l = J_star_l + local J_star_r = J_star_r + + qui gen rdplot_id = . + qui gen rdplot_min_bin = . + qui gen rdplot_max_bin = . + qui gen rdplot_mean_bin = . + + + if ("`binselect'"=="qs" | "`binselect'"=="qspr" | "`binselect'"=="qsmv" | "`binselect'"=="qsmvpr") { + pctile binsL = `x' if `x'<`c', nq(`J_star_l') + pctile binsR = `x' if `x'>=`c', nq(`J_star_r') + } + +mata { + x_min = `x_min' + x_max = `x_max' + + if ("`binselect'"=="es" | "`binselect'"=="espr" | "`binselect'"=="esmv" | "`binselect'"=="esmvpr" | "`binselect'"=="") { + binsL = rangen(x_min,c , `J_star_l'+1) + binsR = rangen(c ,x_max, `J_star_r'+1) + bins = binsL[1..length(binsL)-1]\binsR + } + + if ("`binselect'"=="qs" | "`binselect'"=="qspr" | "`binselect'"=="qsmv" | "`binselect'"=="qsmvpr") { + bins = (x_min \ st_data(.,"binsL",0) \ c \ st_data(.,"binsR",0) \ x_max ) + } + + st_view(ZZ=.,., "`x' rdplot_id rdplot_min_bin rdplot_max_bin rdplot_mean_bin", "`touse'") + bin_i = 2 + for(i=1; i<=rows(ZZ); i++) { + while(ZZ[i,1] >= bins[bin_i] & bin_i < length(bins)) bin_i++ + /* PUT rdplot_id */ + ZZ[i,2] = bin_i - `J_star_l' - 2 + if (ZZ[i,2] >= 0) ZZ[i,2] = ZZ[i,2] + 1 + /* PUT rdplot_min_bin rdplot_max_bin rdplot_mean_bin */ + ZZ[i,3] = bins[bin_i-1] + ZZ[i,4] = bins[bin_i] + ZZ[i,5] = (bins[bin_i]+bins[bin_i-1])/2 + } + +} + +** STATA: Generate inputs for RDPLOT (and possibly for reporting back to user) +if ("`covs_eval'"=="" | "`covs_eval'"=="0") { +collapse (count) rdplot_N=`x' (mean) rdplot_min_bin rdplot_max_bin rdplot_mean_bin /// + (mean) rdplot_mean_x=`x' rdplot_mean_y=`y' /// + (semean) rdplot_se_y=`y', by(rdplot_id) fast +} + +************************************************************************** +**** covs_eval ********************************************************** +************************************************************************** +if ("`covs_eval'"=="mean") { + tempvar rdplot_id2 yhat_tmp yhatZ + qui gen `rdplot_id2' = rdplot_id + `J_star_l' + qui reg `y' `covs_list' i.`rdplot_id2' + qui predict `yhatZ' + + collapse (count) rdplot_N=`x' (mean) rdplot_min_bin rdplot_max_bin rdplot_mean_bin /// + (mean) rdplot_mean_x=`x' rdplot_mean_y=`yhatZ' /// + (semean) rdplot_se_y=`y', by(rdplot_id) fast +} + + qui replace rdplot_N=rdplot_N-1 + qui gen quant = -invt(rdplot_N, abs((1-(`ci'/100))/2)) + qui gen rdplot_ci_l = rdplot_mean_y - quant*rdplot_se_y + qui gen rdplot_ci_r = rdplot_mean_y + quant*rdplot_se_y + qui drop quant + + mata{ + if ("`genvars'"!="") { + ** MATA: Save rdplot inputs to return to user in original dataset + rdplot = st_data(.,.) + } + } + + qui gen bin_length = rdplot_max_bin-rdplot_min_bin + qui su bin_length if rdplot_id<0, d + local bin_avg_l = r(mean) + local bin_med_l = r(p50) + qui su bin_length if rdplot_id>0, d + local bin_avg_r = r(mean) + local bin_med_r = r(p50) + + if ("`binselect'"=="es"){ + local binselect_type="evenly spaced number of bins using spacings estimators." + scalar J_star_l_IMSE = J_es_hat_dw[1,1] + scalar J_star_r_IMSE = J_es_hat_dw[1,2] + scalar J_star_l_MV = J_es_hat_mv[1,1] + scalar J_star_r_MV = J_es_hat_mv[1,2] + } + if ("`binselect'"=="espr"){ + local binselect_type="evenly spaced number of bins using polynomial regression." + scalar J_star_l_IMSE = J_es_chk_dw[1,1] + scalar J_star_r_IMSE = J_es_chk_dw[1,2] + scalar J_star_l_MV = J_es_chk_mv[1,1] + scalar J_star_r_MV = J_es_chk_mv[1,2] + } + if ("`binselect'"=="esmv" | "`binselect'"==""){ + local binselect_type="evenly spaced mimicking variance number of bins using spacings estimators." + scalar J_star_l_IMSE = J_es_hat_dw[1,1] + scalar J_star_r_IMSE = J_es_hat_dw[1,2] + scalar J_star_l_MV = J_es_hat_mv[1,1] + scalar J_star_r_MV = J_es_hat_mv[1,2] + } + if ("`binselect'"=="esmvpr"){ + local binselect_type="evenly spaced mimicking variance number of bins using polynomial regression." + scalar J_star_l_IMSE = J_es_chk_dw[1,1] + scalar J_star_r_IMSE = J_es_chk_dw[1,2] + scalar J_star_l_MV = J_es_chk_mv[1,1] + scalar J_star_r_MV = J_es_chk_mv[1,2] + } + if ("`binselect'"=="qs"){ + local binselect_type="quantile spaced number of bins using spacings estimators." + scalar J_star_l_IMSE = J_qs_hat_dw[1,1] + scalar J_star_r_IMSE = J_qs_hat_dw[1,2] + scalar J_star_l_MV = J_qs_hat_mv[1,1] + scalar J_star_r_MV = J_qs_hat_mv[1,2] + } + if ("`binselect'"=="qspr"){ + local binselect_type="quantile spaced number of bins using polynomial regression." + scalar J_star_l_IMSE = J_qs_chk_dw[1,1] + scalar J_star_r_IMSE = J_qs_chk_dw[1,2] + scalar J_star_l_MV = J_qs_chk_mv[1,1] + scalar J_star_r_MV = J_qs_chk_mv[1,2] + } + if ("`binselect'"=="qsmv"){ + local binselect_type="quantile spaced mimicking variance quantile spaced using spacings estimators." + scalar J_star_l_IMSE = J_qs_hat_dw[1,1] + scalar J_star_r_IMSE = J_qs_hat_dw[1,2] + scalar J_star_l_MV = J_qs_hat_mv[1,1] + scalar J_star_r_MV = J_qs_hat_mv[1,2] + } + if ("`binselect'"=="qsmvpr"){ + local binselect_type="quantile spaced mimicking variance number of bins using polynomial regression." + scalar J_star_l_IMSE = J_qs_chk_dw[1,1] + scalar J_star_r_IMSE = J_qs_chk_dw[1,2] + scalar J_star_l_MV = J_qs_chk_mv[1,1] + scalar J_star_r_MV = J_qs_chk_mv[1,2] + } + if (nbins_l!=0 | nbins_r!=0 ) local binselect_type= "RD plot with manually set number of bins." + + scalar scale_l = J_star_l / J_star_l_IMSE + scalar scale_r = J_star_r / J_star_r_IMSE + + qui getmata x_plot_l x_plot_r y_plot_l y_plot_r, force + + ereturn clear + ereturn scalar N_l = `n_l' + ereturn scalar N_r = `n_r' + ereturn scalar c = `c' + ereturn scalar J_star_l = J_star_l + ereturn scalar J_star_r = J_star_r + ereturn matrix coef_l = gamma_p1_l + ereturn matrix coef_r = gamma_p1_r + ereturn local binselect = "`binselect'" + + if ("`kernel'"=="epanechnikov" | "`kernel'"=="epa") local kernel_type = "Epanechnikov" + else if ("`kernel'"=="uniform" | "`kernel'"=="uni") local kernel_type = "Uniform" + else local kernel_type = "Triangular" + + disp "" + disp in smcl in yellow "RD Plot with " "`binselect_type'" + disp "" + + disp in smcl in gr "{ralign 21: Cutoff c = `c'}" _col(22) " {c |} " _col(23) in gr "Left of " in yellow "c" _col(36) in gr "Right of " in yellow "c" _col(54) in gr "Number of obs = " in yellow %10.0f `n' + disp in smcl in gr "{hline 22}{c +}{hline 22}" _col(54) in gr "Kernel = " in yellow "{ralign 10:`kernel_type'}" + disp in smcl in gr "{ralign 21:Number of obs}" _col(22) " {c |} " _col(23) as result %9.0f `n_l' _col(37) %9.0f `n_r' + disp in smcl in gr "{ralign 21:Eff. Number of obs}" _col(22) " {c |} " _col(23) as result %9.0f `n_h_l' _col(37) %9.0f `n_h_r' + disp in smcl in gr "{ralign 21:Order poly. fit (p)}" _col(22) " {c |} " _col(23) as result %9.0f `p' _col(37) %9.0f `p' + disp in smcl in gr "{ralign 21:BW poly. fit (h)}" _col(22) " {c |} " _col(23) as result %9.3f `h_l' _col(37) %9.3f `h_r' + disp in smcl in gr "{ralign 21:Number of bins scale}" _col(22) " {c |} " _col(23) as result %9.3f `scale_l' _col(37) %9.3f `scale_r' + disp "" + disp "Outcome: `y'. Running variable: `x'." + disp in smcl in gr "{hline 22}{c TT}{hline 22}" + disp in smcl in gr _col(22) " {c |} " _col(23) in gr "Left of " in yellow "c" _col(36) in gr "Right of " in yellow "c" + disp in smcl in gr "{hline 22}{c +}{hline 22}" + disp in smcl in gr "{ralign 21:Bins selected}" _col(22) " {c |} " _col(23) as result %9.0f e(J_star_l) _col(37) %9.0f e(J_star_r) + disp in smcl in gr "{ralign 21:Average bin length}" _col(22) " {c |} " _col(23) as result %9.3f `bin_avg_l' _col(37) %9.3f `bin_avg_r' + disp in smcl in gr "{ralign 21:Median bin length}" _col(22) " {c |} " _col(23) as result %9.3f `bin_med_l' _col(37) %9.3f `bin_med_r' + disp in smcl in gr "{hline 22}{c +}{hline 22}" + disp in smcl in gr "{ralign 21:IMSE-optimal bins}" _col(22) " {c |} " _col(23) as result %9.0f J_star_l_IMSE _col(37) %9.0f J_star_r_IMSE + disp in smcl in gr "{ralign 21:Mimicking Var. bins}" _col(22) " {c |} " _col(23) as result %9.0f J_star_l_MV _col(37) %9.0f J_star_r_MV + disp in smcl in gr "{hline 22}{c +}{hline 22}" + disp in smcl in gr "{lalign 1:Rel. to IMSE-optimal:}" _col(22) " {c |} " + disp in smcl in gr "{ralign 21:Implied scale}" _col(22) " {c |} " _col(23) as result %9.3f scale_l _col(37) %9.3f scale_r + disp in smcl in gr "{ralign 21:WIMSE var. weight}" _col(22) " {c |} " _col(23) as result %9.3f 1/(1+scale_l^3) _col(37) %9.3f 1/(1+scale_r^3) + disp in smcl in gr "{ralign 21:WIMSE bias weight}" _col(22) " {c |} " _col(23) as result %9.3f scale_l^3/(1+scale_l^3) _col(37) %9.3f scale_r^3/(1+scale_r^3) + disp in smcl in gr "{hline 22}{c BT}{hline 22}" + disp "" + if ("`covs'"!="") disp "Covariate-adjusted estimates. Additional covariates included: `ncovs'" + if (`covs_drop_coll'==1) di as error "{err}Variables dropped due to multicollinearity." + + + if ("`hide'"==""){ + if (`"`graph_options'"'=="" ) local graph_options = `"title("Regression function fit", color(gs0)) "' + + if (`ci'==0) { + twoway (scatter rdplot_mean_y rdplot_mean_bin, sort msize(small) mcolor(gs10)) /// + (line y_plot_l x_plot_l, lcolor(black) sort lwidth(medthin) lpattern(solid) ) /// + (line y_plot_r x_plot_r, lcolor(black) sort lwidth(medthin) lpattern(solid) ), /// + xline(`c', lcolor(black) lwidth(medthin)) xscale(r(`x_min' `x_max')) legend(cols(2) order(1 "Sample average within bin" 2 "Polynomial fit of order `p'" )) `graph_options' + } + else { + if ("`shade'"==""){ + twoway (rcap rdplot_ci_l rdplot_ci_r rdplot_mean_bin, color(gs11)) /// + (scatter rdplot_mean_y rdplot_mean_bin, sort msize(small) mcolor(gs10)) /// + (line y_plot_l x_plot_l, lcolor(black) sort lwidth(medthin) lpattern(solid)) /// + (line y_plot_r x_plot_r, lcolor(black) sort lwidth(medthin) lpattern(solid)), /// + xline(`c', lcolor(black) lwidth(medthin)) xscale(r(`x_min' `x_max')) legend(cols(2) order(2 "Sample average within bin" 3 "Polynomial fit of order `p'" )) `graph_options' + } + else { + twoway (rarea rdplot_ci_l rdplot_ci_r rdplot_mean_bin if rdplot_id<0, sort color(gs11)) /// + (rarea rdplot_ci_l rdplot_ci_r rdplot_mean_bin if rdplot_id>0, sort color(gs11)) /// + (scatter rdplot_mean_y rdplot_mean_bin, sort msize(small) mcolor(gs10)) /// + (line y_plot_l x_plot_l, lcolor(black) sort lwidth(medthin) lpattern(solid)) /// + (line y_plot_r x_plot_r, lcolor(black) sort lwidth(medthin) lpattern(solid)) , /// + xline(`c', lcolor(black) lwidth(medthin)) xscale(r(`x_min' `x_max')) legend(cols(2) order(2 "Sample average within bin" 3 "Polynomial fit of order `p'" )) `graph_options' + } + } + } + +restore + +**************************** +** PART 2: genvars=TRUE +**************************** +if ("`genvars'"!="") { + qui for any id N min_bin max_bin mean_bin mean_x mean_y se_y ci_l ci_r hat_y: qui gen rdplot_X = . +} + +mata{ + if ("`genvars'"~="") { + st_view(ZZ=.,., "`x' rdplot_id rdplot_N rdplot_min_bin rdplot_max_bin rdplot_mean_bin rdplot_mean_x rdplot_mean_y rdplot_se_y rdplot_ci_l rdplot_ci_r rdplot_hat_y", "`touse'") + for (i=1; i<=rows(ZZ); i++) { + if (ZZ[i,1]!=.) { + bin_i = 2; while(ZZ[i,1] >= bins[bin_i] & bin_i < length(bins)) bin_i++ + rdplot_i = bin_i - `J_star_l' - 2 + if (rdplot_i >= 0) rdplot_i = rdplot_i + 1 + ZZ[i,2..11] = select(rdplot, rdplot[.,1]:==rdplot_i) + ZZ[i,12] = 0; for (j=0; j<=p; j++) { + if (ZZ[i,2] <0) ZZ[i,12] = ZZ[i,12] + ((ZZ[i,1]-c)^j)*gamma_p1_l[j+1] + else ZZ[i,12] = ZZ[i,12] + ((ZZ[i,1]-c)^j)*gamma_p1_r[j+1] + } + } + } + } +} + +mata mata clear +end + + + diff --git a/30/replication_package/Adofiles/rd_2021/rdplot.sthlp b/30/replication_package/Adofiles/rd_2021/rdplot.sthlp new file mode 100644 index 0000000000000000000000000000000000000000..455efbd98f4e102f20bfa9d66e6f96b42fa33669 --- /dev/null +++ b/30/replication_package/Adofiles/rd_2021/rdplot.sthlp @@ -0,0 +1,222 @@ +{smcl} +{* *!version 8.1.0 2021-02-22}{...} +{viewerjumpto "Syntax" "rdplot##syntax"}{...} +{viewerjumpto "Description" "rdplot##description"}{...} +{viewerjumpto "Options" "rdplot##options"}{...} +{viewerjumpto "Examples" "rdplot##examples"}{...} +{viewerjumpto "Stored results" "rdplot##stored_results"}{...} +{viewerjumpto "References" "rdplot##references"}{...} +{viewerjumpto "Authors" "rdplot##authors"}{...} + +{title:Title} + +{p 4 8}{cmd:rdplot} {hline 2} Data-Driven Regression Discontinuity Plots.{p_end} + +{marker syntax}{...} +{title:Syntax} + +{p 4 8}{cmd:rdplot } {it:depvar} {it:indepvar} {ifin} +[{cmd:,} +{cmd:c(}{it:#}{cmd:)} +{cmd:nbins(}{it:# #}{cmd:)} +{cmd:binselect(}{it:binmethod}{cmd:)} +{cmd:scale(}{it:# #}{cmd:)} +{cmd:support(}{it:# #}{cmd:)} +{cmd:p(}{it:#}{cmd:)} +{cmd:h(}{it:# #}{cmd:)} +{cmd:kernel(}{it:kernelfn}{cmd:)} +{cmd:weights(}{it:weightsvar}{cmd:)} +{cmd:covs(}{it:covars}{cmd:)} +{cmd:covs_eval(}{it:covars_eval}{cmd:)} +{cmd:covs_drop(}{it:covsdropoption}{cmd:)} +{cmd:masspoints(}{it:masspointsoption}{cmd:)} +{cmd:ci(}{it:cilevel}{cmd:)} +{it:shade} +{cmd:graph_options(}{it:gphopts}{cmd:)} +{it:hide} +{it:genvars} +]{p_end} + +{synoptset 28 tabbed}{...} + +{marker description}{...} +{title:Description} + +{p 4 8}{cmd:rdplot} implements several data-driven Regression Discontinuity (RD) plots, using either evenly-spaced or quantile-spaced partitioning. Two type of RD plots are constructed: (i) RD plots with binned sample means tracing out the underlying regression function, and (ii) RD plots with binned sample means +mimicking the underlying variability of the data. For technical and methodological details see +{browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Titiunik_2015_JASA.pdf":Calonico, Cattaneo and Titiunik (2015a)}.{p_end} + +{p 8 8} Companion commands are: {help rdrobust:rdrobust} for point estimation and inference procedures, and {help rdbwselect:rdbwselect} for data-driven bandwidth selection.{p_end} + +{p 8 8}A detailed introduction to this command is given in +{browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Titiunik_2014_Stata.pdf":Calonico, Cattaneo and Titiunik (2014)}, +and {browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Farrell-Titiunik_2017_Stata.pdf":Calonico, Cattaneo, Farrell and Titiunik (2017)}. A companion {browse "www.r-project.org":R} package is also described in +{browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Titiunik_2015_R.pdf":Calonico, Cattaneo and Titiunik (2015b)}.{p_end} + +{p 4 8}Related Stata and R packages useful for inference in RD designs are described in the following website:{p_end} + +{p 8 8}{browse "https://rdpackages.github.io":https://rdpackages.github.io}{p_end} + + +{marker options}{...} +{title:Options} + +{dlgtab:Estimand} + +{p 4 8}{cmd:c(}{it:#}{cmd:)} specifies the RD cutoff in {it:indepvar}. +Default is {cmd:c(0)}. + +{dlgtab:Bin Selection} + +{p 4 8}{cmd:nbins(}{it:# #}{cmd:)} specifies the number of bins used to the left of the cutoff, denoted {it:J-}, and to the right of the cutoff, denoted {it:J+}, respectively. +If not specified, {it:J+} and {it:J-} are estimated using the method and options chosen below. + +{p 4 8}{cmd:binselect(}{it:binmethod}{cmd:)} specifies the data-driven procedure to select the number of bins. This option is available only if {it:J-} and {it:J+} are not set manually using {cmd:nbins(.)}. +Options are:{p_end} +{p 8 12}{opt es} IMSE-optimal evenly-spaced method using spacings estimators.{p_end} +{p 8 12}{opt espr} IMSE-optimal evenly-spaced method using polynomial regression.{p_end} +{p 8 12}{opt esmv} mimicking variance evenly-spaced method using spacings estimators.{p_end} +{p 8 12}{opt esmvpr} mimicking variance evenly-spaced method using polynomial regression.{p_end} +{p 8 12}{opt qs} IMSE-optimal quantile-spaced method using spacings estimators.{p_end} +{p 8 12}{opt qspr} IMSE-optimal quantile-spaced method using polynomial regression.{p_end} +{p 8 12}{opt qsmv} mimicking variance quantile-spaced method using spacings estimators.{p_end} +{p 8 12}{opt qsmvpr} mimicking variance quantile-spaced method using polynomial regression.{p_end} +{p 8 12}Default is {cmd:binselect(esmv)}.{p_end} +{p 8 12}Note: procedures involving spacing estimators are not invariant to rearrangements of {it:depvar} when there are repeated values (i.e., mass points in the running variable).{p_end} + +{p 4 8}{cmd:scale(}{it:# #}{cmd:)} specifies multiplicative factors, denoted {it:s-} and {it:s+}, respectively, to adjust the number of bins selected. Specifically, the number of bins used for the treatment and control groups will be +ceil({cmd:s- * J-}) and ceil({cmd:s+ * J+}), where J- and J+ denote the optimal numbers of bins originally computed for each group. +Default is {cmd:scale(1 1)}. + +{p 4 8}{cmd:support(}{it:# #}{cmd:)} sets an optional extended support of the running variable to be used in the construction of the bins. Default is the sample range. + +{p 4 8}{cmd:masspoints(}{it:masspointsoption}{cmd:)} checks and controls for repeated observations in the running variable. +Options are:{p_end} +{p 8 12}{opt off} ignores the presence of mass points. {p_end} +{p 8 12}{opt check} looks for and reports the number of unique observations at each side of the cutoff. {p_end} +{p 8 12}{opt adjust} sets {cmd:binselect(}{it:binmethod}{cmd:)} as polynomial regression when mass points are present. {p_end} +{p 8 12} Default option is {cmd:masspoints(adjust)}.{p_end} + +{dlgtab:Polynomial Fit} + +{p 4 8}{cmd:p(}{it:#}{cmd:)} specifies the order of the (global) polynomial fit used to approximate the population conditional expectation functions for control and treated units. +Default is {cmd:p(4)}. + +{p 4 8}{cmd:h(}{it:# #}{cmd:)} specifies the bandwidth used to construct the (global) polynomial fits given the kernel choice {cmd:kernel(.)}. +If not specified, the bandwidths are chosen to span the full support of the data. If two bandwidths are specified, the first bandwidth is used for the data below the cutoff and the second bandwidth is used for the data above the cutoff. + +{p 4 8}{cmd:kernel(}{it:kernelfn}{cmd:)} specifies the kernel function used to construct the local-polynomial estimator(s). Options are: {opt tri:angular}, {opt epa:nechnikov}, and {opt uni:form}. +Default is {cmd:kernel(uniform)} (i.e., equal/no weighting to all observations on the support of the kernel). + +{p 4 8}{cmd:weights(}{it:weightsvar}{cmd:)} is the variable used for optional weighting of the estimation procedure. The unit-specific weights multiply the kernel function.{p_end} + +{p 4 8}{cmd:covs(}{it:covars}{cmd:)} additional covariates used to construct the local-polynomial estimator(s).{p_end} + +{p 4 8}{cmd:covs_eval(}{it:covars_eval}{cmd:)} sets the evaluation points for the additional covariates, when included in the estimation. Options are: {opt 0} (default) and {opt mean}. + +{p 4 8}{cmd:covs_drop(}{it:covsdropoption}{cmd:)} assess collinearity in additional covariates used for estimation and inference. Options {opt pinv} (default choice) and {opt invsym} drops collinear additional covariates, differing only in the type of inverse function used. Option {opt off} only checks collinear additional covariates but does not drop them.{p_end} + +{dlgtab:Plot Options} + +{p 4 8}{cmd:ci(}{it:cilevel}{cmd:)} graphical option to display confidence intervals of level {it:cilevel} for each bin. + +{p 4 8}{cmd:shade} graphical option to replace confidence intervals with shaded areas. + +{p 4 8}{cmd:graph_options(}{it:gphopts}{cmd:)} graphical options to be passed on to the underlying graph command. + +{p 4 8}{cmd:hide} omits the RD plot. + +{dlgtab:Generate Variables} + +{p 4 8}{it:genvars} generates new variables storing the following results.{p_end} +{p 8 12}{opt rdplot_id} unique bin ID for each observation. Negative natural numbers are assigned to observations to the left of the cutoff, and positive natural numbers are assigned to observations to the right of the cutoff.{p_end} +{p 8 12}{opt rdplot_N} number of observations in the corresponding bin for each observation.{p_end} +{p 8 12}{opt rdplot_min_bin} lower end value of the bin for each observation.{p_end} +{p 8 12}{opt rdplot_max_bin} upper end value of the bin for each observation.{p_end} +{p 8 12}{opt rdplot_mean_bin} middle point of the corresponding bin for each observation.{p_end} +{p 8 12}{opt rdplot_mean_x} sample mean of the running variable within the corresponding bin for each observation.{p_end} +{p 8 12}{opt rdplot_mean_y} sample mean of the outcome variable within the corresponding bin for each observation.{p_end} +{p 8 12}{opt rdplot_se_y} standard deviation of the mean of the outcome variable within the corresponding bin for each observation.{p_end} +{p 8 12}{opt rdplot_ci_l} lower end value of the confidence interval for the sample mean of the outcome variable within the corresponding bin for each observation.{p_end} +{p 8 12}{opt rdplot_ci_r} upper end value of the confidence interval for the sample mean of the outcome variable within the corresponding bin for each observation.{p_end} +{p 8 12}{opt rdplot_hat_y} predicted value of the outcome variable given by the global polynomial estimator.{p_end} + + + {hline} + + +{marker examples}{...} +{title:Example: Cattaneo, Frandsen and Titiunik (2015) Incumbency Data} + +{p 4 8}Setup{p_end} +{p 8 8}{cmd:. use rdrobust_senate.dta}{p_end} + +{p 4 8}Basic specification with title{p_end} +{p 8 8}{cmd:. rdplot vote margin, graph_options(title(RD Plot))}{p_end} + +{p 4 8}Quadratic global polynomial with confidence bands{p_end} +{p 8 8}{cmd:. rdplot vote margin, p(2) ci(95) shade}{p_end} + +{marker stored_results}{...} +{title:Stored results} + +{p 4 8}{cmd:rdplot} stores the following in {cmd:e()}: + +{synoptset 20 tabbed}{...} +{p2col 5 20 24 2: Scalars}{p_end} +{synopt:{cmd:e(N_l)}}original number of observations to the left of the cutoff{p_end} +{synopt:{cmd:e(N_r)}}original number of observations to the right of the cutoff{p_end} +{synopt:{cmd:e(c)}}cutoff value{p_end} +{synopt:{cmd:e(J_star_l)}}selected number of bins to the left of the cutoff{p_end} +{synopt:{cmd:e(J_star_r)}}selected number of bins to the right of the cutoff{p_end} + +{p2col 5 20 24 2: Macros}{p_end} +{synopt:{cmd:e(binselect)}}method used to compute the optimal number of bins{p_end} + +{synoptset 20 tabbed}{...} +{p2col 5 20 24 2: Matrices}{p_end} +{synopt:{cmd:e(coef_l)}}coefficients of the {it:p}-th order polynomial estimated to the left of the cutoff{p_end} +{synopt:{cmd:e(coef_r)}}coefficients of the {it:p}-th order polynomial estimated to the right of the cutoff{p_end} + + +{marker references}{...} +{title:References} + +{p 4 8}Calonico, S., M. D. Cattaneo, M. H. Farrell, and R. Titiunik. 2017. +{browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Farrell-Titiunik_2017_Stata.pdf":rdrobust: Software for Regression Discontinuity Designs}. +{it:Stata Journal} 17(2): 372-404.{p_end} + +{p 4 8}Calonico, S., M. D. Cattaneo, and R. Titiunik. 2014b. +{browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Titiunik_2014_Stata.pdf":Robust Data-Driven Inference in the Regression-Discontinuity Design}. +{it:Stata Journal} 14(4): 909-946.{p_end} + +{p 4 8}Calonico, S., M. D. Cattaneo, and R. Titiunik. 2015a. +{browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Titiunik_2015_JASA.pdf":Optimal Data-Driven Regression Discontinuity Plots}. +{it:Journal of the American Statistical Association} 110(512): 1753-1769.{p_end} + +{p 4 8}Calonico, S., M. D. Cattaneo, and R. Titiunik. 2015b. +{browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Titiunik_2015_R.pdf":rdrobust: An R Package for Robust Nonparametric Inference in Regression-Discontinuity Designs}. +{it:R Journal} 7(1): 38-51.{p_end} + +{p 4 8}Cattaneo, M. D., B. Frandsen, and R. Titiunik. 2015. +{browse "https://rdpackages.github.io/references/Cattaneo-Frandsen-Titiunik_2015_JCI.pdf":Randomization Inference in the Regression Discontinuity Design: An Application to Party Advantages in the U.S. Senate}. +{it:Journal of Causal Inference} 3(1): 1-24.{p_end} + + +{marker authors}{...} +{title:Authors} + +{p 4 8}Sebastian Calonico, Columbia University, New York, NY. +{browse "mailto:sebastian.calonico@columbia.edu":sebastian.calonico@columbia.edu}.{p_end} + +{p 4 8}Matias D. Cattaneo, Princeton University, Princeton, NJ. +{browse "mailto:cattaneo@princeton.edu":cattaneo@princeton.edu}.{p_end} + +{p 4 8}Max H. Farrell, University of Chicago, Chicago, IL. +{browse "mailto:max.farrell@chicagobooth.edu":max.farrell@chicagobooth.edu}.{p_end} + +{p 4 8}Rocio Titiunik, Princeton University, Princeton, NJ. +{browse "mailto:titiunik@princeton.edu":titiunik@princeton.edu}.{p_end} + + + diff --git a/30/replication_package/Adofiles/rd_2021/rdrobust.ado b/30/replication_package/Adofiles/rd_2021/rdrobust.ado new file mode 100644 index 0000000000000000000000000000000000000000..06fa70471bf44537ae584da9a9ff8ee1c8bef5fa --- /dev/null +++ b/30/replication_package/Adofiles/rd_2021/rdrobust.ado @@ -0,0 +1,1009 @@ +*!version 8.1.0 2021-02-22 + +capture program drop rdrobust +program define rdrobust, eclass + syntax anything [if] [in] [, c(real 0) fuzzy(string) deriv(real 0) p(real 1) q(real 0) h(string) b(string) rho(real 0) covs(string) covs_drop(string) kernel(string) weights(string) bwselect(string) vce(string) level(real 95) all scalepar(real 1) scaleregul(real 1) nochecks masspoints(string) bwcheck(real 0) bwrestrict(string) stdvars(string)] + *disp in yellow "Preparing data." + marksample touse + preserve + qui keep if `touse' + tokenize "`anything'" + local y `1' + local x `2' + local kernel = lower("`kernel'") + local bwselect = lower("`bwselect'") + + ******************** Set VCE *************************** + local nnmatch = 3 + tokenize `vce' + local w : word count `vce' + if `w' == 1 { + local vce_select `"`1'"' + } + if `w' == 2 { + local vce_select `"`1'"' + if ("`vce_select'"=="nn") local nnmatch `"`2'"' + if ("`vce_select'"=="cluster" | "`vce_select'"=="nncluster") local clustvar `"`2'"' + } + if `w' == 3 { + local vce_select `"`1'"' + local clustvar `"`2'"' + local nnmatch `"`3'"' + if ("`vce_select'"!="cluster" & "`vce_select'"!="nncluster") di as error "{err}{cmd:vce()} incorrectly specified" + } + if `w' > 3 { + di as error "{err}{cmd:vce()} incorrectly specified" + exit 125 + } + + local vce_type = "NN" + if ("`vce_select'"=="hc0") local vce_type = "HC0" + if ("`vce_select'"=="hc1") local vce_type = "HC1" + if ("`vce_select'"=="hc2") local vce_type = "HC2" + if ("`vce_select'"=="hc3") local vce_type = "HC3" + if ("`vce_select'"=="cluster") local vce_type = "Cluster" + if ("`vce_select'"=="nncluster") local vce_type = "NNcluster" + + if ("`vce_select'"=="cluster" | "`vce_select'"=="nncluster") local cluster = "cluster" + if ("`vce_select'"=="cluster") local vce_select = "hc0" + if ("`vce_select'"=="nncluster") local vce_select = "nn" + if ("`vce_select'"=="") local vce_select = "nn" + + ******************** Set BW *************************** + tokenize `h' + local w : word count `h' + if `w' == 1 { + local h_l `"`1'"' + local h_r `"`1'"' + } + if `w' == 2 { + local h_l `"`1'"' + local h_r `"`2'"' + } + if `w' >= 3 { + di as error "{err}{cmd:h()} only accepts two inputs" + exit 125 + } + + tokenize `b' + local w : word count `b' + if `w' == 1 { + local b_l `"`1'"' + local b_r `"`1'"' + } + if `w' == 2 { + local b_l `"`1'"' + local b_r `"`2'"' + } + if `w' >= 3 { + di as error "{err}{cmd:b()} only accepts two inputs" + exit 125 + } + + *** Manual bandwidth + if ("`h'"!="") { + local bwselect = "Manual" + *if ("`b_l'"=="" & "`b_r'"=="" & "`h_l'"!="" & "`h_r'"!="") { + if ("`b'"=="") { + local b_r = `h_r' + local b_l = `h_l' + } + if ("`rho'">"0") { + local b_l = `h_l'/`rho' + local b_r = `h_r'/`rho' + } + } + + *** Default bandwidth + if ("`h'"=="" & "`bwselect'"=="") local bwselect= "mserd" + + ******************** Set Fuzzy*************************** + tokenize `fuzzy' + local w : word count `fuzzy' + if `w' == 1 { + local fuzzyvar `"`1'"' + } + if `w' == 2 { + local fuzzyvar `"`1'"' + local sharpbw `"`2'"' + if `"`2'"' != "sharpbw" { + di as error "{err}fuzzy() only accepts sharpbw as a second input" + exit 125 + } + } + if `w' >= 3 { + di as error "{err}{cmd:fuzzy()} only accepts two inputs" + exit 125 + } + + **** DROP MISSINGS ********************************************** + qui drop if `y'==. | `x'==. + if ("`fuzzy'"~="") qui drop if `fuzzyvar'==. + if ("`cluster'"!="") qui drop if `clustvar'==. + if ("`covs'"~="") { + qui ds `covs', alpha + local covs_list = r(varlist) + local ncovs: word count `covs_list' + foreach z in `covs_list' { + qui drop if `z'==. + } + } + + **** CHECK colinearity ****************************************** + local covs_drop_coll = 0 + if ("`covs_drop'"=="") local covs_drop = "pinv" + if ("`covs'"~="") { + + if ("`covs_drop'"=="invsym") local covs_drop_coll = 1 + if ("`covs_drop'"=="pinv") local covs_drop_coll = 2 + + qui _rmcoll `covs_list' + local nocoll_controls_cat `r(varlist)' + local nocoll_controls "" + foreach myString of local nocoll_controls_cat { + if ~strpos("`myString'", "o."){ + if ~strpos("`myString'", "MYRUNVAR"){ + local nocoll_controls "`nocoll_controls' `myString'" + } + } + } + local covs_new `nocoll_controls' + qui ds `covs_new', alpha + local covs_list_new = r(varlist) + local ncovs_new: word count `covs_list_new' + + if (`ncovs_new'<`ncovs') { + if ("`covs_drop'"=="off") { + di as error "{err}Multicollinearity issue detected in {cmd:covs}. Please rescale and/or remove redundant covariates, or add {cmd:covs_drop} option." + exit 125 + } + else { + local ncovs = "`ncovs_new'" + local covs_list = "`covs_list_new'" + *local covs_drop_coll = 1 + } + } + } + + + **** DEFAULTS *************************************** + if ("`masspoints'"=="") local masspoints = "adjust" + if ("`stdvars'"=="") local stdvars = "off" + if ("`bwrestrict'"=="") local bwrestrict = "on" + ***************************************************************** + + qui su `x', d + local N = r(N) + local x_min = r(min) + local x_max = r(max) + local x_iq = r(p75)-r(p25) + local x_sd = r(sd) + + if ("`deriv'">"0" & "`p'"=="1" & "`q'"=="0") local p = `deriv'+1 + if ("`q'"=="0") local q = `p'+1 + + **************************** BEGIN ERROR CHECKING ************************************************ + if ("`nochecks'"=="") { + if (`c'<=`x_min' | `c'>=`x_max'){ + di as error "{err}{cmd:c()} should be set within the range of `x'" + exit 125 + } + + + if (`N'<20){ + di as error "{err}Not enough observations to perform bandwidth calculations" + di as error "{err}Estimates computed using entire sample" + local bwselect= "Manual" + + qui su `x' if `x'<`c' + local range_l = abs(r(max)-r(min)) + qui su `x' if `x'>=`c' + local range_r = abs(r(max)-r(min)) + local bw_range = max(`range_l',`range_r') + + local h = `bw_range' + local b = `bw_range' + local h_l = `bw_range' + local h_r = `bw_range' + local b_l = `bw_range' + local b_r = `bw_range' + } + + if ("`kernel'"~="uni" & "`kernel'"~="uniform" & "`kernel'"~="tri" & "`kernel'"~="triangular" & "`kernel'"~="epa" & "`kernel'"~="epanechnikov" & "`kernel'"~="" ){ + di as error "{err}{cmd:kernel()} incorrectly specified" + exit 7 + } + + if ("`bwselect'"=="CCT" | "`bwselect'"=="IK" | "`bwselect'"=="CV" |"`bwselect'"=="cct" | "`bwselect'"=="ik" | "`bwselect'"=="cv"){ + di as error "{err}{cmd:bwselect()} options IK, CCT and CV have been depricated. Please see help for new options" + exit 7 + } + + if ("`bwselect'"!="mserd" & "`bwselect'"!="msetwo" & "`bwselect'"!="msesum" & "`bwselect'"!="msecomb1" & "`bwselect'"!="msecomb2" & "`bwselect'"!="cerrd" & "`bwselect'"!="certwo" & "`bwselect'"!="cersum" & "`bwselect'"!="cercomb1" & "`bwselect'"!="cercomb2" & "`bwselect'"~="Manual"){ + di as error "{err}{cmd:bwselect()} incorrectly specified" + exit 7 + } + + if ("`vce_select'"~="nn" & "`vce_select'"~="" & "`vce_select'"~="cluster" & "`vce_select'"~="nncluster" & "`vce_select'"~="hc1" & "`vce_select'"~="hc2" & "`vce_select'"~="hc3" & "`vce_select'"~="hc0"){ + di as error "{err}{cmd:vce()} incorrectly specified" + exit 7 + } + + if ("`p'"<"0" | "`q'"<="0" | "`deriv'"<"0" | "`nnmatch'"<="0" ){ + di as error "{err}{cmd:p()}, {cmd:q()}, {cmd:deriv()}, {cmd:nnmatch()} should be positive" + exit 411 + } + + if ("`p'">="`q'" & "`q'">"0"){ + di as error "{err}{cmd:q()} should be higher than {cmd:p()}" + exit 125 + } + + if ("`deriv'">"`p'" & "`deriv'">"0" ){ + di as error "{err}{cmd:deriv()} can not be higher than {cmd:p()}" + exit 125 + } + + if ("`p'">"0" ) { + local p_round = round(`p')/`p' + local q_round = round(`q')/`q' + local d_round = round(`deriv'+1)/(`deriv'+1) + local m_round = round(`nnmatch')/`nnmatch' + + if (`p_round'!=1 | `q_round'!=1 |`d_round'!=1 |`m_round'!=1 ){ + di as error "{err}{cmd:p()}, {cmd:q()}, {cmd:deriv()} and {cmd:nnmatch()} should be integers" + exit 126 + } + } + if (`level'>100 | `level'<=0){ + di as error "{err}{cmd:level()}should be set between 0 and 100" + exit 125 + } + } + *********************** END ERROR CHECKING ************************************************************ + + if ("`vce_select'"=="nn" | "`masspoints'"=="check" | "`masspoints'"=="adjust") { + sort `x', stable + if ("`vce_select'"=="nn") { + tempvar dups dupsid + by `x': gen dups = _N + by `x': gen dupsid = _n + } + } + + if ("`kernel'"=="epanechnikov" | "`kernel'"=="epa") { + local kernel_type = "Epanechnikov" + local C_c = 2.34 + } + else if ("`kernel'"=="uniform" | "`kernel'"=="uni") { + local kernel_type = "Uniform" + local C_c = 1.843 + } + else { + local kernel_type = "Triangular" + local C_c = 2.576 + } + + *** Start MATA ******************************************************** + + mata{ + + *** Preparing data + Y = st_data(.,("`y'"), 0); X = st_data(.,("`x'"), 0) + ind_l = selectindex(X:<`c'); ind_r = selectindex(X:>=`c') + X_l = X[ind_l]; X_r = X[ind_r] + Y_l = Y[ind_l]; Y_r = Y[ind_r] + dZ=dT=dC=Z_l=Z_r=T_l=T_r=C_l=C_r=fw_l=fw_r=g_l=g_r=dups_l=dups_r=dupsid_l=dupsid_r=g_l=g_r=eT_l=eT_r=eZ_l=eZ_r=indC_l=indC_r=eC_l=eC_r=0 + + N = length(X); N_l = length(X_l); N_r = length(X_r) + + if ("`covs'"~="") { + Z = st_data(.,tokens("`covs_list'"), 0); dZ = cols(Z) + Z_l = Z[ind_l,]; Z_r = Z[ind_r,] + } + + if ("`fuzzy'"~="") { + T = st_data(.,("`fuzzyvar'"), 0); T_l = T[ind_l]; T_r = T[ind_r]; dT = 1 + if (variance(T_l)==0 | variance(T_r)==0){ + T_l = T_r = 0 + st_local("perf_comp","perf_comp") + } + if ("`sharpbw'"!=""){ + T_l = T_r = 0 + st_local("sharpbw","sharpbw") + } + } + + if ("`cluster'"!="") { + C = st_data(.,("`clustvar'"), 0) + C_l = C[ind_l]; C_r = C[ind_r] + indC_l = order(C_l,1); indC_r = order(C_r,1) + g_l = rows(panelsetup(C_l[indC_l],1)); g_r = rows(panelsetup(C_r[indC_r],1)) + st_numscalar("g_l", g_l); st_numscalar("g_r", g_r) + } + + if ("`weights'"~="") { + fw = st_data(.,("`weights'"), 0) + fw_l = fw[ind_l]; fw_r = fw[ind_r] + } + + if ("`vce_select'"=="nn") { + dups = st_data(.,("dups"), 0); dupsid = st_data(.,("dupsid"), 0) + dups_l = dups[ind_l]; dups_r = dups[ind_r] + dupsid_l = dupsid[ind_l]; dupsid_r = dupsid[ind_r] + } + + + h_l = `h_l' + h_r = `h_r' + b_l = `b_l' + b_r = `b_r' + + *********************************************************************** + ******** Computing bandwidth selector ********************************* + *********************************************************************** +masspoints_found = 0 + + if ("`h'"=="") { + + BWp = min((`x_sd',`x_iq'/1.349)) + x_sd = y_sd = 1 + c = `c' + *** Starndardized ****************** + if ("`stdvars'"=="on") { + y_sd = sqrt(variance(Y)) + x_sd = sqrt(variance(X)) + X_l = X_l/x_sd; X_r = X_r/x_sd + Y_l = Y_l/y_sd; Y_r = Y_r/y_sd + c = `c'/x_sd + BWp = min((1, (`x_iq'/x_sd)/1.349)) + } + x_l_min = min(X_l); x_l_max = max(X_l) + x_r_min = min(X_r); x_r_max = max(X_r) + + range_l = c - x_l_min + range_r = x_r_max - c + ************************************ + + mN = `N' + bwcheck = `bwcheck' + covs_drop_coll = `covs_drop_coll' + + if ("`masspoints'"=="check" | "`masspoints'"=="adjust") { + X_uniq_l = sort(uniqrows(X_l),-1) + X_uniq_r = uniqrows(X_r) + M_l = length(X_uniq_l) + M_r = length(X_uniq_r) + M = M_l + M_r + st_numscalar("M_l", M_l); st_numscalar("M_r", M_r) + mass_l = 1-M_l/N_l + mass_r = 1-M_r/N_r + if (mass_l>=0.1 | mass_r>=0.1){ + masspoints_found = 1 + display("{err}Mass points detected in the running variable.") + if ("`masspoints'"=="adjust" & "`bwcheck'"=="0") bwcheck = 10 + if ("`masspoints'"=="check") display("{err}Try using option {cmd:masspoints(adjust)}.") + } + } + + + c_bw = `C_c'*BWp*mN^(-1/5) + if ("`masspoints'"=="adjust") c_bw = `C_c'*BWp*M^(-1/5) + if ("`bwrestrict'"=="on") { + bw_max = max((range_l,range_r)) + c_bw = min((c_bw, bw_max)) + } + if (bwcheck > 0) { + bwcheck_l = min((bwcheck, M_l)) + bwcheck_r = min((bwcheck, M_r)) + bw_min_l = abs(X_uniq_l:-c)[bwcheck_l] + 1e-8 + bw_min_r = abs(X_uniq_r:-c)[bwcheck_r] + 1e-8 + c_bw = max((c_bw, bw_min_l, bw_min_r)) + } + + + *** Step 1: d_bw + C_d_l = rdrobust_bw(Y_l, X_l, T_l, Z_l, C_l, fw_l, c=c, o=`q'+1, nu=`q'+1, o_B=`q'+2, h_V=c_bw, h_B=range_l+1e-8, 0, "`vce_select'", `nnmatch', "`kernel'", dups_l, dupsid_l, covs_drop_coll) + C_d_r = rdrobust_bw(Y_r, X_r, T_r, Z_r, C_r, fw_r, c=c, o=`q'+1, nu=`q'+1, o_B=`q'+2, h_V=c_bw, h_B=range_r+1e-8, 0, "`vce_select'", `nnmatch', "`kernel'", dups_r, dupsid_r, covs_drop_coll) + if (C_d_l[1]==0 | C_d_l[2]==0 | C_d_r[1]==0 | C_d_r[2]==0 |C_d_l[1]==. | C_d_l[2]==. | C_d_l[3]==. |C_d_r[1]==. | C_d_r[2]==. | C_d_r[3]==.) printf("{err}Not enough variability to compute the preliminary bandwidth. Try checking for mass points with option {cmd:masspoints(check)}.\n") + + *printf("i=%g\n ",C_d_l[5]) + *printf("i=%g\n ",C_d_r[5]) + + + *** BW-TWO + if ("`bwselect'"=="msetwo" | "`bwselect'"=="certwo" | "`bwselect'"=="msecomb2" | "`bwselect'"=="cercomb2" ) { + * Preliminar bw + d_bw_l = ( (C_d_l[1] / C_d_l[2]^2) * (`N'/mN) )^C_d_l[4] + d_bw_r = ( (C_d_r[1] / C_d_r[2]^2) * (`N'/mN) )^C_d_l[4] + if ("`bwrestrict'"=="on") { + d_bw_l = min((d_bw_l, range_l)) + d_bw_r = min((d_bw_r, range_r)) + } + if (bwcheck > 0) { + d_bw_l = max((d_bw_l, bw_min_l)) + d_bw_r = max((d_bw_r, bw_min_r)) + } + * Bias bw + C_b_l = rdrobust_bw(Y_l, X_l, T_l, Z_l, C_l, fw_l, c=c, o=`q', nu=`p'+1, o_B=`q'+1, h_V=c_bw, h_B=d_bw_l, `scaleregul', "`vce_select'", `nnmatch', "`kernel'", dups_l, dupsid_l, covs_drop_coll) + b_bw_l = ( (C_b_l[1] / (C_b_l[2]^2 + `scaleregul'*C_b_l[3])) * (`N'/mN) )^C_b_l[4] + C_b_r = rdrobust_bw(Y_r, X_r, T_r, Z_r, C_r, fw_r, c=c, o=`q', nu=`p'+1, o_B=`q'+1, h_V=c_bw, h_B=d_bw_r, `scaleregul', "`vce_select'", `nnmatch', "`kernel'", dups_r, dupsid_r, covs_drop_coll) + b_bw_r = ( (C_b_r[1] / (C_b_r[2]^2 + `scaleregul'*C_b_r[3])) * (`N'/mN) )^C_b_l[4] + if ("`bwrestrict'"=="on") { + b_bw_l = min((b_bw_l, range_l)) + b_bw_r = min((b_bw_r, range_r)) + } + * Main bw + C_h_l = rdrobust_bw(Y_l, X_l, T_l, Z_l, C_l, fw_l, c=c, o=`p', nu=`deriv', o_B=`q', h_V=c_bw, h_B=b_bw_l, `scaleregul', "`vce_select'", `nnmatch', "`kernel'", dups_l, dupsid_l, covs_drop_coll) + h_bw_l = ( (C_h_l[1] / (C_h_l[2]^2 + `scaleregul'*C_h_l[3])) * (`N'/mN) )^C_h_l[4] + C_h_r = rdrobust_bw(Y_r, X_r, T_r, Z_r, C_r, fw_r, c=c, o=`p', nu=`deriv', o_B=`q', h_V=c_bw, h_B=b_bw_r, `scaleregul', "`vce_select'", `nnmatch', "`kernel'", dups_r, dupsid_r, covs_drop_coll) + h_bw_r = ( (C_h_r[1] / (C_h_r[2]^2 + `scaleregul'*C_h_r[3])) * (`N'/mN) )^C_h_l[4] + if ("`bwrestrict'"=="on") { + h_bw_l = min((h_bw_l, range_l)) + h_bw_r = min((h_bw_r, range_r)) + } + } + + *** BW-SUM + if ("`bwselect'"=="msesum" | "`bwselect'"=="cersum" | "`bwselect'"=="msecomb1" | "`bwselect'"=="msecomb2" | "`bwselect'"=="cercomb1" | "`bwselect'"=="cercomb2") { + * Preliminar bw + d_bw_s = ( ((C_d_l[1] + C_d_r[1]) / (C_d_r[2] + C_d_l[2])^2) * (`N'/mN) )^C_d_l[4] + if ("`bwrestrict'"=="on") d_bw_s = min((d_bw_s, bw_max)) + if (bwcheck > 0) d_bw_s = max((d_bw_s, bw_min_l, bw_min_r)) + * Bias bw + C_b_l = rdrobust_bw(Y_l, X_l, T_l, Z_l, C_l, fw_l, c=c, o=`q', nu=`p'+1, o_B=`q'+1, h_V=c_bw, h_B=d_bw_s, `scaleregul', "`vce_select'", `nnmatch', "`kernel'", dups_l, dupsid_l, covs_drop_coll) + C_b_r = rdrobust_bw(Y_r, X_r, T_r, Z_r, C_r, fw_r, c=c, o=`q', nu=`p'+1, o_B=`q'+1, h_V=c_bw, h_B=d_bw_s, `scaleregul', "`vce_select'", `nnmatch', "`kernel'", dups_r, dupsid_r, covs_drop_coll) + b_bw_s = ( ((C_b_l[1] + C_b_r[1]) / ((C_b_r[2] + C_b_l[2])^2 + `scaleregul'*(C_b_r[3]+C_b_l[3]))) * (`N'/mN) )^C_b_l[4] + if ("`bwrestrict'"=="on") b_bw_s = min((b_bw_s, bw_max)) + * Main bw + C_h_l = rdrobust_bw(Y_l, X_l, T_l, Z_l, C_l, fw_l, c=c, o=`p', nu=`deriv', o_B=`q', h_V=c_bw, h_B=b_bw_s, `scaleregul', "`vce_select'", `nnmatch', "`kernel'", dups_l, dupsid_l, covs_drop_coll) + C_h_r = rdrobust_bw(Y_r, X_r, T_r, Z_r, C_r, fw_r, c=c, o=`p', nu=`deriv', o_B=`q', h_V=c_bw, h_B=b_bw_s, `scaleregul', "`vce_select'", `nnmatch', "`kernel'", dups_r, dupsid_r, covs_drop_coll) + h_bw_s = ( ((C_h_l[1] + C_h_r[1]) / ((C_h_r[2] + C_h_l[2])^2 + `scaleregul'*(C_h_r[3] + C_h_l[3]))) * (`N'/mN) )^C_h_l[4] + if ("`bwrestrict'"=="on") h_bw_s = min((h_bw_s, bw_max)) + } + + *** RD + if ("`bwselect'"=="mserd" | "`bwselect'"=="cerrd" | "`bwselect'"=="msecomb1" | "`bwselect'"=="msecomb2" | "`bwselect'"=="cercomb1" | "`bwselect'"=="cercomb2" | "`bwselect'"=="") { + * Preliminar bw + d_bw_d = ( ((C_d_l[1] + C_d_r[1]) / (C_d_r[2] - C_d_l[2])^2) * (`N'/mN) )^C_d_l[4] + if ("`bwrestrict'"=="on") d_bw_d = min((d_bw_d, bw_max)) + + if (bwcheck > 0) d_bw_d = max((d_bw_d, bw_min_l, bw_min_r)) + * Bias bw + C_b_l = rdrobust_bw(Y_l, X_l, T_l, Z_l, C_l, fw_l, c=c, o=`q', nu=`p'+1, o_B=`q'+1, h_V=c_bw, h_B=d_bw_d, `scaleregul', "`vce_select'", `nnmatch', "`kernel'", dups_l, dupsid_l, covs_drop_coll) + C_b_r = rdrobust_bw(Y_r, X_r, T_r, Z_r, C_r, fw_r, c=c, o=`q', nu=`p'+1, o_B=`q'+1, h_V=c_bw, h_B=d_bw_d, `scaleregul', "`vce_select'", `nnmatch', "`kernel'", dups_r, dupsid_r, covs_drop_coll) + b_bw_d = ( ((C_b_l[1] + C_b_r[1]) / ((C_b_r[2] - C_b_l[2])^2 + `scaleregul'*(C_b_r[3] + C_b_l[3]))) * (`N'/mN) )^C_b_l[4] + if ("`bwrestrict'"=="on") b_bw_d = min((b_bw_d, bw_max)) + + * Main bw + C_h_l = rdrobust_bw(Y_l, X_l, T_l, Z_l, C_l, fw_l, c=c, o=`p', nu=`deriv', o_B=`q', h_V=c_bw, h_B=b_bw_d, `scaleregul', "`vce_select'", `nnmatch', "`kernel'", dups_l, dupsid_l, covs_drop_coll) + C_h_r = rdrobust_bw(Y_r, X_r, T_r, Z_r, C_r, fw_r, c=c, o=`p', nu=`deriv', o_B=`q', h_V=c_bw, h_B=b_bw_d, `scaleregul', "`vce_select'", `nnmatch', "`kernel'", dups_r, dupsid_r, covs_drop_coll) + h_bw_d = ( ((C_h_l[1] + C_h_r[1]) / ((C_h_r[2] - C_h_l[2])^2 + `scaleregul'*(C_h_r[3] + C_h_l[3]))) * (`N'/mN) )^C_h_l[4] + if ("`bwrestrict'"=="on") h_bw_d = min((h_bw_d, bw_max)) + + } + + + + if (C_b_l[1]==0 | C_b_l[2]==0 | C_b_r[1]==0 | C_b_r[2]==0 |C_b_l[1]==. | C_b_l[2]==. | C_b_l[3]==. | C_b_r[1]==. | C_b_r[2]==. | C_b_r[3]==.) printf("{err}Not enough variability to compute the bias bandwidth (b). Try checking for mass points with option {cmd:masspoints(check)}. \n") + if (C_h_l[1]==0 | C_h_l[2]==0 | C_h_r[1]==0 | C_h_r[2]==0 |C_h_l[1]==. | C_h_l[2]==. | C_h_l[3]==. | C_h_r[1]==. | C_h_r[2]==. | C_h_r[3]==.) printf("{err}Not enough variability to compute the loc. poly. bandwidth (h). Try checking for mass points with option {cmd:masspoints(check)}.\n") + + cer_h = mN^(-(`p'/((3+`p')*(3+2*`p')))) + if ("`cluster'"!="") cer_h = (g_l+g_r)^(-(`p'/((3+`p')*(3+2*`p')))) + cer_b = 1 + + if ("`bwselect'"=="mserd" | "`bwselect'"=="cerrd" | "`bwselect'"=="msecomb1" | "`bwselect'"=="msecomb2" | "`bwselect'"=="cercomb1" | "`bwselect'"=="cercomb2") { + h_l = h_r = h_mserd = x_sd*h_bw_d + b_l = b_r = b_mserd = x_sd*b_bw_d + } + if ("`bwselect'"=="msesum" | "`bwselect'"=="cersum" | "`bwselect'"=="msecomb1" | "`bwselect'"=="msecomb2" | "`bwselect'"=="cercomb1" | "`bwselect'"=="cercomb2") { + h_l = h_r = h_msesum = x_sd*h_bw_s + b_l = b_r = b_msesum = x_sd*b_bw_s + } + if ("`bwselect'"=="msetwo" | "`bwselect'"=="certwo" | "`bwselect'"=="msecomb2" | "`bwselect'"=="cercomb2") { + h_l = h_msetwo_l = x_sd*h_bw_l + h_r = h_msetwo_r = x_sd*h_bw_r + b_l = b_msetwo_l = x_sd*b_bw_l + b_r = b_msetwo_r = x_sd*b_bw_r + } + if ("`bwselect'"=="msecomb1" | "`bwselect'"=="cercomb1") { + h_l = h_r = h_msecomb1 = min((h_mserd,h_msesum)) + b_l = b_r = b_msecomb1 = min((b_mserd,b_msesum)) + } + if ("`bwselect'"=="msecomb2" | "`bwselect'"=="cercomb2") { + h_l = (sort((h_mserd,h_msesum,h_msetwo_l)',1))[2] + h_r = (sort((h_mserd,h_msesum,h_msetwo_r)',1))[2] + b_l = (sort((b_mserd,b_msesum,b_msetwo_l)',1))[2] + b_r = (sort((b_mserd,b_msesum,b_msetwo_r)',1))[2] + } + if ("`bwselect'"=="cerrd" | "`bwselect'"=="cersum" | "`bwselect'"=="certwo" | "`bwselect'"=="cercomb1" | "`bwselect'"=="cercomb2"){ + h_l = h_l*cer_h + h_r = h_r*cer_h + b_l = b_l*cer_b + b_r = b_r*cer_b + } + + if ("`rho'">"0") { + b_l = h_l/`rho' + b_r = h_r/`rho' + } + + *** De-Starndardized ********************************* + c = `c'*x_sd + X_uniq_l = X_uniq_l*x_sd + X_uniq_r = X_uniq_r*x_sd + X_l = X_l*x_sd; X_r = X_r*x_sd + Y_l = Y_l*y_sd; Y_r = Y_r*y_sd + range_l = range_l*x_sd + range_r = range_r*x_sd + ***************************************************** + + + } /* close if for bw selector */ + + } + + + mata{ + + *** Estimation and Inference + + c = strtoreal("`c'") + + w_h_l = rdrobust_kweight(X_l,`c',h_l,"`kernel'"); w_h_r = rdrobust_kweight(X_r,`c',h_r,"`kernel'") + w_b_l = rdrobust_kweight(X_l,`c',b_l,"`kernel'"); w_b_r = rdrobust_kweight(X_r,`c',b_r,"`kernel'") + + if ("`weights'"~="") { + w_h_l = fw_l:*w_h_l; w_h_r = fw_r:*w_h_r + w_b_l = fw_l:*w_b_l; w_b_r = fw_r:*w_b_r + } + + ind_h_l = selectindex(w_h_l:> 0); ind_h_r = selectindex(w_h_r:> 0) + ind_b_l = selectindex(w_b_l:> 0); ind_b_r = selectindex(w_b_r:> 0) + N_h_l = length(ind_h_l); N_b_l = length(ind_b_l) + N_h_r = length(ind_h_r); N_b_r = length(ind_b_r) + + if (N_h_l<10 | N_h_r<10 | N_b_l<10 | N_b_r<10){ + display("{err}Estimates might be unreliable due to low number of effective observations.") + *exit(1) + } + + ind_l = ind_b_l; ind_r = ind_b_r + if (h_l>b_l) ind_l = ind_h_l + if (h_r>b_r) ind_r = ind_h_r + eN_l = length(ind_l); eN_r = length(ind_r) + eY_l = Y_l[ind_l]; eY_r = Y_r[ind_r] + eX_l = X_l[ind_l]; eX_r = X_r[ind_r] + W_h_l = w_h_l[ind_l]; W_h_r = w_h_r[ind_r] + W_b_l = w_b_l[ind_l]; W_b_r = w_b_r[ind_r] + + edups_l = edups_r = edupsid_l= edupsid_r = 0 + if ("`vce_select'"=="nn") { + edups_l = dups_l[ind_l]; edups_r = dups_r[ind_r] + edupsid_l = dupsid_l[ind_l]; edupsid_r = dupsid_r[ind_r] + } + + u_l = (eX_l:-`c')/h_l; u_r = (eX_r:-`c')/h_r; + R_q_l = J(eN_l,(`q'+1),.); R_q_r = J(eN_r,(`q'+1),.) + for (j=1; j<=(`q'+1); j++) { + R_q_l[.,j] = (eX_l:-`c'):^(j-1); R_q_r[.,j] = (eX_r:-`c'):^(j-1) + } + R_p_l = R_q_l[,1::(`p'+1)]; R_p_r = R_q_r[,1::(`p'+1)] + + ******************************************************************************** + ************ Computing RD estimates ******************************************** + ******************************************************************************** + L_l = quadcross(R_p_l:*W_h_l,u_l:^(`p'+1)); L_r = quadcross(R_p_r:*W_h_r,u_r:^(`p'+1)) + invG_q_l = cholinv(quadcross(R_q_l,W_b_l,R_q_l)); invG_q_r = cholinv(quadcross(R_q_r,W_b_r,R_q_r)) + invG_p_l = cholinv(quadcross(R_p_l,W_h_l,R_p_l)); invG_p_r = cholinv(quadcross(R_p_r,W_h_r,R_p_r)) + + if (rank(invG_p_l)==. | rank(invG_p_r)==. | rank(invG_q_l)==. | rank(invG_q_r)==. ){ + display("{err}Invertibility problem: check variability of running variable around cutoff. Try checking for mass points with option {cmd:masspoints(check)}.") + exit(1) + } + + e_p1 = J((`q'+1),1,0); e_p1[`p'+2]=1 + e_v = J((`p'+1),1,0); e_v[`deriv'+1]=1 + Q_q_l = ((R_p_l:*W_h_l)' - h_l^(`p'+1)*(L_l*e_p1')*((invG_q_l*R_q_l')':*W_b_l)')' + Q_q_r = ((R_p_r:*W_h_r)' - h_r^(`p'+1)*(L_r*e_p1')*((invG_q_r*R_q_r')':*W_b_r)')' + D_l = eY_l; D_r = eY_r + + if ("`fuzzy'"~="") { + T = st_data(.,("`fuzzyvar'"), 0); dT = 1 + T_l = select(T,X:<`c'); eT_l = T_l[ind_l] + T_r = select(T,X:>=`c'); eT_r = T_r[ind_r] + D_l = D_l,eT_l; D_r = D_r,eT_r + } + + if ("`covs'"~="") { + eZ_l = Z_l[ind_l,]; eZ_r = Z_r[ind_r,] + D_l = D_l,eZ_l; D_r = D_r,eZ_r + U_p_l = quadcross(R_p_l:*W_h_l,D_l); U_p_r = quadcross(R_p_r:*W_h_r,D_r) + } + + if ("`cluster'"~="") { + eC_l = C_l[ind_l]; eC_r = C_r[ind_r] + indC_l = order(eC_l,1); indC_r = order(eC_r,1) + g_l = rows(panelsetup(eC_l[indC_l],1)); g_r = rows(panelsetup(eC_r[indC_r],1)) + } + + beta_p_l = invG_p_l*quadcross(R_p_l:*W_h_l,D_l); beta_q_l = invG_q_l*quadcross(R_q_l:*W_b_l,D_l); beta_bc_l = invG_p_l*quadcross(Q_q_l,D_l) + beta_p_r = invG_p_r*quadcross(R_p_r:*W_h_r,D_r); beta_q_r = invG_q_r*quadcross(R_q_r:*W_b_r,D_r); beta_bc_r = invG_p_r*quadcross(Q_q_r,D_r) + beta_p = beta_p_r - beta_p_l + beta_q = beta_q_r - beta_q_l + beta_bc = beta_bc_r - beta_bc_l + + if (dZ==0) { + tau_cl = tau_Y_cl = `scalepar'*factorial(`deriv')*beta_p[(`deriv'+1),1] + tau_bc = tau_Y_bc = `scalepar'*factorial(`deriv')*beta_bc[(`deriv'+1),1] + s_Y = 1 + tau_Y_cl_l = `scalepar'*factorial(`deriv')*beta_p_l[(`deriv'+1),1] + tau_Y_cl_r = `scalepar'*factorial(`deriv')*beta_p_r[(`deriv'+1),1] + tau_Y_bc_l = `scalepar'*factorial(`deriv')*beta_bc_l[(`deriv'+1),1] + tau_Y_bc_r = `scalepar'*factorial(`deriv')*beta_bc_r[(`deriv'+1),1] + bias_l = tau_Y_cl_l-tau_Y_bc_l + bias_r = tau_Y_cl_r-tau_Y_bc_r + if (dT>0) { + tau_T_cl = factorial(`deriv')*beta_p[(`deriv'+1),2] + tau_T_bc = factorial(`deriv')*beta_bc[(`deriv'+1),2] + s_Y = (1/tau_T_cl \ -(tau_Y_cl/tau_T_cl^2)) + B_F = tau_Y_cl-tau_Y_bc \ tau_T_cl-tau_T_bc + tau_cl = tau_Y_cl/tau_T_cl + tau_bc = tau_cl - s_Y'*B_F + sV_T = 0 \ 1 + tau_T_cl_l = factorial(`deriv')*beta_p_l[(`deriv'+1),2] + tau_T_cl_r = factorial(`deriv')*beta_p_r[(`deriv'+1),2] + tau_T_bc_l = factorial(`deriv')*beta_bc_l[(`deriv'+1),2] + tau_T_bc_r = factorial(`deriv')*beta_bc_r[(`deriv'+1),2] + B_F_l = tau_Y_cl_l-tau_Y_bc_l \ tau_T_cl_l-tau_T_bc_l + B_F_r = tau_Y_cl_r-tau_Y_bc_r \ tau_T_cl_r-tau_T_bc_r + bias_l = s_Y'*B_F_l + bias_r = s_Y'*B_F_r + } + } + + if (dZ>0) { + ZWD_p_l = quadcross(eZ_l,W_h_l,D_l) + ZWD_p_r = quadcross(eZ_r,W_h_r,D_r) + colsZ = (2+dT)::(2+dT+dZ-1) + UiGU_p_l = quadcross(U_p_l[,colsZ],invG_p_l*U_p_l) + UiGU_p_r = quadcross(U_p_r[,colsZ],invG_p_r*U_p_r) + ZWZ_p_l = ZWD_p_l[,colsZ] - UiGU_p_l[,colsZ] + ZWZ_p_r = ZWD_p_r[,colsZ] - UiGU_p_r[,colsZ] + ZWY_p_l = ZWD_p_l[,1::1+dT] - UiGU_p_l[,1::1+dT] + ZWY_p_r = ZWD_p_r[,1::1+dT] - UiGU_p_r[,1::1+dT] + ZWZ_p = ZWZ_p_r + ZWZ_p_l + ZWY_p = ZWY_p_r + ZWY_p_l + if ("`covs_drop_coll'"=="0") gamma_p = cholinv(ZWZ_p)*ZWY_p + if ("`covs_drop_coll'"=="1") gamma_p = invsym(ZWZ_p)*ZWY_p + if ("`covs_drop_coll'"=="2") gamma_p = pinv(ZWZ_p)*ZWY_p + + s_Y = (1 \ -gamma_p[,1]) + + if (dT==0) { + tau_cl = `scalepar'*s_Y'*beta_p[(`deriv'+1),]' + tau_bc = `scalepar'*s_Y'*beta_bc[(`deriv'+1),]' + tau_Y_cl_l = `scalepar'*s_Y'*beta_p_l[(`deriv'+1),]' + tau_Y_cl_r = `scalepar'*s_Y'*beta_p_r[(`deriv'+1),]' + tau_Y_bc_l = `scalepar'*s_Y'*beta_bc_l[(`deriv'+1),]' + tau_Y_bc_r = `scalepar'*s_Y'*beta_bc_r[(`deriv'+1),]' + bias_l = tau_Y_cl_l-tau_Y_bc_l + bias_r = tau_Y_cl_r-tau_Y_bc_r + + } + + if (dT>0) { + s_T = 1 \ -gamma_p[,2] + sV_T = (0 \ 1 \ -gamma_p[,2] ) + tau_Y_cl = `scalepar'*factorial(`deriv')*s_Y'*vec((beta_p[(`deriv'+1),1],beta_p[(`deriv'+1),colsZ])) + tau_T_cl = factorial(`deriv')*s_T'*vec((beta_p[(`deriv'+1),2],beta_p[(`deriv'+1),colsZ])) + tau_Y_bc = `scalepar'*factorial(`deriv')*s_Y'*vec((beta_bc[(`deriv'+1),1],beta_bc[(`deriv'+1),colsZ])) + tau_T_bc = factorial(`deriv')*s_T'*vec((beta_bc[(`deriv'+1),2],beta_bc[(`deriv'+1),colsZ])) + + tau_Y_cl_l = `scalepar'*factorial(`deriv')*s_Y'*vec((beta_p_l[(`deriv'+1),1], beta_p_l[(`deriv'+1),colsZ])) + tau_Y_cl_r = `scalepar'*factorial(`deriv')*s_Y'*vec((beta_p_r[(`deriv'+1),2], beta_p_r[(`deriv'+1),colsZ])) + tau_Y_bc_l = `scalepar'*factorial(`deriv')*s_Y'*vec((beta_bc_l[(`deriv'+1),1],beta_bc_l[(`deriv'+1),colsZ])) + tau_Y_bc_r = `scalepar'*factorial(`deriv')*s_Y'*vec((beta_bc_r[(`deriv'+1),2],beta_bc_r[(`deriv'+1),colsZ])) + + tau_T_cl_l = factorial(`deriv')*s_T'*vec((beta_p_l[(`deriv'+1),1], beta_p_l[(`deriv'+1),colsZ])) + tau_T_cl_r = factorial(`deriv')*s_T'*vec((beta_p_r[(`deriv'+1),2], beta_p_r[(`deriv'+1),colsZ])) + tau_T_bc_l = factorial(`deriv')*s_T'*vec((beta_bc_l[(`deriv'+1),1],beta_bc_l[(`deriv'+1),colsZ])) + tau_T_bc_r = factorial(`deriv')*s_T'*vec((beta_bc_r[(`deriv'+1),2],beta_bc_r[(`deriv'+1),colsZ])) + + + B_F = tau_Y_cl-tau_Y_bc \ tau_T_cl-tau_T_bc + s_Y = 1/tau_T_cl \ -(tau_Y_cl/tau_T_cl^2) + tau_cl = tau_Y_cl/tau_T_cl + tau_bc = tau_cl - s_Y'*B_F + + B_F_l = tau_Y_cl_l-tau_Y_bc_l \ tau_T_cl_l-tau_T_bc_l + B_F_r = tau_Y_cl_r-tau_Y_bc_r \ tau_T_cl_r-tau_T_bc_r + + bias_l = s_Y'*B_F_l + bias_r = s_Y'*B_F_r + + s_Y = (1/tau_T_cl \ -(tau_Y_cl/tau_T_cl^2) \ -(1/tau_T_cl)*gamma_p[,1] + (tau_Y_cl/tau_T_cl^2)*gamma_p[,2]) + } + } + + ************************************************************************** + ************ Computing variance-covariance matrix ************************ + ************************************************************************** + hii_l=hii_r=predicts_p_l=predicts_p_r=predicts_q_l=predicts_q_r=0 + if ("`vce_select'"=="hc0" | "`vce_select'"=="hc1" | "`vce_select'"=="hc2" | "`vce_select'"=="hc3") { + predicts_p_l=R_p_l*beta_p_l + predicts_p_r=R_p_r*beta_p_r + predicts_q_l=R_q_l*beta_q_l + predicts_q_r=R_q_r*beta_q_r + if ("`vce_select'"=="hc2" | "`vce_select'"=="hc3") { + hii_l=J(eN_l,1,.) + for (i=1; i<=eN_l; i++) { + hii_l[i] = R_p_l[i,]*invG_p_l*(R_p_l:*W_h_l)[i,]' + } + hii_r=J(eN_r,1,.) + for (i=1; i<=eN_r; i++) { + hii_r[i] = R_p_r[i,]*invG_p_r*(R_p_r:*W_h_r)[i,]' + } + } + } + + res_h_l = rdrobust_res(eX_l, eY_l, eT_l, eZ_l, predicts_p_l, hii_l, "`vce_select'", `nnmatch', edups_l, edupsid_l, `p'+1) + res_h_r = rdrobust_res(eX_r, eY_r, eT_r, eZ_r, predicts_p_r, hii_r, "`vce_select'", `nnmatch', edups_r, edupsid_r, `p'+1) + if ("`vce_select'"=="nn") { + res_b_l = res_h_l; res_b_r = res_h_r + } + else { + res_b_l = rdrobust_res(eX_l, eY_l, eT_l, eZ_l, predicts_q_l, hii_l, "`vce_select'", `nnmatch', edups_l, edupsid_l, `q'+1) + res_b_r = rdrobust_res(eX_r, eY_r, eT_r, eZ_r, predicts_q_r, hii_r, "`vce_select'", `nnmatch', edups_r, edupsid_r, `q'+1) + } + + V_Y_cl_l = invG_p_l*rdrobust_vce(dT+dZ, s_Y, R_p_l:*W_h_l, res_h_l, eC_l, indC_l)*invG_p_l + V_Y_cl_r = invG_p_r*rdrobust_vce(dT+dZ, s_Y, R_p_r:*W_h_r, res_h_r, eC_r, indC_r)*invG_p_r + V_Y_bc_l = invG_p_l*rdrobust_vce(dT+dZ, s_Y, Q_q_l, res_b_l, eC_l, indC_l)*invG_p_l + V_Y_bc_r = invG_p_r*rdrobust_vce(dT+dZ, s_Y, Q_q_r, res_b_r, eC_r, indC_r)*invG_p_r + V_tau_cl = (`scalepar')^2*factorial(`deriv')^2*(V_Y_cl_l+V_Y_cl_r)[`deriv'+1,`deriv'+1] + V_tau_rb = (`scalepar')^2*factorial(`deriv')^2*(V_Y_bc_l+V_Y_bc_r)[`deriv'+1,`deriv'+1] + se_tau_cl = sqrt(V_tau_cl); se_tau_rb = sqrt(V_tau_rb) + + if ("`fuzzy'"!="") { + V_T_cl_l = invG_p_l*rdrobust_vce(dT+dZ, sV_T, R_p_l:*W_h_l, res_h_l, eC_l, indC_l)*invG_p_l + V_T_cl_r = invG_p_r*rdrobust_vce(dT+dZ, sV_T, R_p_r:*W_h_r, res_h_r, eC_r, indC_r)*invG_p_r + V_T_bc_l = invG_p_l*rdrobust_vce(dT+dZ, sV_T, Q_q_l, res_b_l, eC_l, indC_l)*invG_p_l + V_T_bc_r = invG_p_r*rdrobust_vce(dT+dZ, sV_T, Q_q_r, res_b_r, eC_r, indC_r)*invG_p_r + V_T_cl = factorial(`deriv')^2*(V_T_cl_l+V_T_cl_r)[`deriv'+1,`deriv'+1] + V_T_rb = factorial(`deriv')^2*(V_T_bc_l+V_T_bc_r)[`deriv'+1,`deriv'+1] + se_tau_T_cl = sqrt(V_T_cl); se_tau_T_rb = sqrt(V_T_rb) + } + + + **** Stored results + st_numscalar("N", N) + st_numscalar("N_l", N_l) + st_numscalar("N_r", N_r) + st_numscalar("x_l_min", x_l_min) + st_numscalar("x_l_max", x_l_max) + st_numscalar("x_r_min", x_r_min) + st_numscalar("x_r_max", x_r_max) + + st_numscalar("h_l", h_l) + st_numscalar("h_r", h_r) + st_numscalar("b_l", b_l) + st_numscalar("b_r", b_r) + + st_numscalar("quant", -invnormal(abs((1-(`level'/100))/2))) + st_numscalar("N_h_l", N_h_l); st_numscalar("N_b_l", N_b_l) + st_numscalar("N_h_r", N_h_r); st_numscalar("N_b_r", N_b_r) + st_numscalar("tau_cl", tau_cl); st_numscalar("se_tau_cl", se_tau_cl) + st_numscalar("tau_bc", tau_bc); st_numscalar("se_tau_rb", se_tau_rb) + st_numscalar("tau_Y_cl_r", tau_Y_cl_r); st_numscalar("tau_Y_cl_l", tau_Y_cl_l) + st_numscalar("tau_Y_bc_r", tau_Y_bc_r); st_numscalar("tau_Y_bc_l", tau_Y_bc_l) + st_numscalar("bias_l", bias_l); st_numscalar("bias_r", bias_r) + st_matrix("beta_p_r", beta_p_r); st_matrix("beta_p_l", beta_p_l) + st_matrix("beta_q_r", beta_q_r); st_matrix("beta_q_l", beta_q_l) + st_numscalar("g_l", g_l); st_numscalar("g_r", g_r) + st_matrix("b", (tau_cl)) + st_matrix("V", (V_tau_cl)) + st_matrix("V_Y_cl_r", V_Y_cl_r); st_matrix("V_Y_cl_l", V_Y_cl_l) + st_matrix("V_Y_bc_r", V_Y_bc_r); st_matrix("V_Y_bc_l", V_Y_bc_l) + st_numscalar("masspoints_found", masspoints_found) + + if ("`all'"~="") { + st_matrix("b", (tau_cl,tau_bc,tau_bc)) + st_matrix("V", (V_tau_cl,0,0 \ 0,V_tau_cl,0 \0,0,V_tau_rb)) + } + + if ("`fuzzy'"!="") { + st_numscalar("tau_T_cl", tau_T_cl); st_numscalar("se_tau_T_cl", se_tau_T_cl) + st_numscalar("tau_T_bc", tau_T_bc); st_numscalar("se_tau_T_rb", se_tau_T_rb) + + st_numscalar("tau_T_cl_r", tau_T_cl_r); st_numscalar("tau_T_cl_l", tau_T_cl_l) + st_numscalar("tau_T_bc_r", tau_T_bc_r); st_numscalar("tau_T_bc_l", tau_T_bc_l) + } + } + + ************************************************ + ********* OUTPUT TABLE ************************* + ************************************************ + local rho_l = scalar(h_l)/scalar(b_l) + local rho_r = scalar(h_r)/scalar(b_r) + + disp "" + if "`fuzzy'"=="" { + if ("`covs'"=="") { + if ("`deriv'"=="0") disp "Sharp RD estimates using local polynomial regression." + else if ("`deriv'"=="1") disp "Sharp kink RD estimates using local polynomial regression." + else disp "Sharp RD estimates using local polynomial regression. Derivative of order " `deriv' "." + } + else { + if ("`deriv'"=="0") disp "Covariate-adjusted sharp RD estimates using local polynomial regression." + else if ("`deriv'"=="1") disp "Covariate-adjusted sharp kink RD estimates using local polynomial regression." + else disp "Covariate-adjusted sharp RD estimates using local polynomial regression. Derivative of order " `deriv' "." + } + } + else { + if ("`covs'"=="") { + if ("`deriv'"=="0") disp "Fuzzy RD estimates using local polynomial regression." + else if ("`deriv'"=="1") disp "Fuzzy kink RD estimates using local polynomial regression." + else disp "Fuzzy RD estimates using local polynomial regression. Derivative of order " `deriv' "." + } + else { + if ("`deriv'"=="0") disp "Covariate-adjusted sharp RD estimates using local polynomial regression." + else if ("`deriv'"=="1") disp "Covariate-adjusted sharp kink RD estimates using local polynomial regression." + else disp "Covariate-adjusted sharp RD estimates using local polynomial regression. Derivative of order " `deriv' "." + } + } + + disp "" + disp in smcl in gr "{ralign 18: Cutoff c = `c'}" _col(19) " {c |} " _col(21) in gr "Left of " in yellow "c" _col(33) in gr "Right of " in yellow "c" _col(55) in gr "Number of obs = " in yellow %10.0f scalar(N) + disp in smcl in gr "{hline 19}{c +}{hline 22}" _col(55) in gr "BW type = " in yellow "{ralign 10:`bwselect'}" + disp in smcl in gr "{ralign 18:Number of obs}" _col(19) " {c |} " _col(21) as result %9.0f scalar(N_l) _col(34) %9.0f scalar(N_r) _col(55) in gr "Kernel = " in yellow "{ralign 10:`kernel_type'}" + disp in smcl in gr "{ralign 18:Eff. Number of obs}" _col(19) " {c |} " _col(21) as result %9.0f scalar(N_h_l) _col(34) %9.0f scalar(N_h_r) _col(55) in gr "VCE method = " in yellow "{ralign 10:`vce_type'}" + disp in smcl in gr "{ralign 18:Order est. (p)}" _col(19) " {c |} " _col(21) as result %9.0f `p' _col(34) %9.0f `p' + disp in smcl in gr "{ralign 18:Order bias (q)}" _col(19) " {c |} " _col(21) as result %9.0f `q' _col(34) %9.0f `q' + disp in smcl in gr "{ralign 18:BW est. (h)}" _col(19) " {c |} " _col(21) as result %9.3f scalar(h_l) _col(34) %9.3f scalar(h_r) + disp in smcl in gr "{ralign 18:BW bias (b)}" _col(19) " {c |} " _col(21) as result %9.3f scalar(b_l) _col(34) %9.3f scalar(b_r) + disp in smcl in gr "{ralign 18:rho (h/b)}" _col(19) " {c |} " _col(21) as result %9.3f `rho_l' _col(34) %9.3f `rho_r' + if ("`masspoints'"=="check" | masspoints_found==1) disp in smcl in gr "{ralign 18:Unique obs}" _col(19) " {c |} " _col(21) as result %9.0f scalar(M_l) _col(34) %9.0f scalar(M_r) + if ("`cluster'"!="") disp in smcl in gr "{ralign 18:Number of clusters}" _col(19) " {c |} " _col(21) as result %9.0f scalar(g_l) _col(34) %9.0f scalar(g_r) + disp "" + + if ("`fuzzy'"~="") { + disp in yellow "First-stage estimates. Outcome: `fuzzyvar'. Running variable: `x'." + disp in smcl in gr "{hline 19}{c TT}{hline 60}" + disp in smcl in gr "{ralign 18:Method}" _col(19) " {c |} " _col(24) "Coef." _col(33) `"Std. Err."' _col(46) "z" _col(52) "P>|z|" _col(61) `"[`level'% Conf. Interval]"' + disp in smcl in gr "{hline 19}{c +}{hline 60}" + + if ("`all'"=="") { + disp in smcl in gr "{ralign 18:Conventional}" _col(19) " {c |} " _col(22) in ye %7.0g scalar(tau_T_cl) _col(33) %7.0g scalar(se_tau_T_cl) _col(43) %5.4f scalar(tau_T_cl/se_tau_T_cl) _col(52) %5.3f scalar(2*normal(-abs(tau_T_cl/se_tau_T_cl))) _col(60) %8.0g scalar(tau_T_cl) - scalar(quant*se_tau_T_cl) _col(73) %8.0g scalar(tau_T_cl + quant*se_tau_T_cl) + disp in smcl in gr "{ralign 18:Robust}" _col(19) " {c |} " _col(22) in ye %7.0g " -" _col(33) %7.0g " -" _col(43) %5.4f scalar(tau_T_bc/se_tau_T_rb) _col(52) %5.3f scalar(2*normal(-abs(tau_T_bc/se_tau_T_rb))) _col(60) %8.0g scalar(tau_T_bc - quant*se_tau_T_rb) _col(73) %8.0g scalar(tau_T_bc + quant*se_tau_T_rb) + } + else { + disp in smcl in gr "{ralign 18:Conventional}" _col(19) " {c |} " _col(22) in ye %7.0g scalar(tau_T_cl) _col(33) %7.0g scalar(se_tau_T_cl) _col(43) %5.4f scalar(tau_T_cl/se_tau_T_cl) _col(52) %5.3f scalar(2*normal(-abs(tau_T_cl/se_tau_T_cl))) _col(60) %8.0g scalar(tau_T_cl - quant*se_tau_T_cl) _col(73) %8.0g scalar(tau_T_cl + quant*se_tau_T_cl) + disp in smcl in gr "{ralign 18:Bias-corrected}" _col(19) " {c |} " _col(22) in ye %7.0g scalar(tau_T_bc) _col(33) %7.0g scalar(se_tau_T_cl) _col(43) %5.4f scalar(tau_T_bc/se_tau_T_cl) _col(52) %5.3f scalar(2*normal(-abs(tau_T_bc/se_tau_T_cl))) _col(60) %8.0g scalar(tau_T_bc - quant*se_tau_T_cl) _col(73) %8.0g scalar(tau_T_bc + quant*se_tau_T_cl) + disp in smcl in gr "{ralign 18:Robust}" _col(19) " {c |} " _col(22) in ye %7.0g scalar(tau_T_bc) _col(33) %7.0g scalar(se_tau_T_rb) _col(43) %5.4f scalar(tau_T_bc/se_tau_T_rb) _col(52) %5.3f scalar(2*normal(-abs(tau_T_bc/se_tau_T_rb))) _col(60) %8.0g scalar(tau_T_bc - quant*se_tau_T_rb) _col(73) %8.0g scalar(tau_T_bc + quant*se_tau_T_rb) + } + disp in smcl in gr "{hline 19}{c BT}{hline 60}" + disp "" + } + + if ("`fuzzy'"=="") disp "Outcome: `y'. Running variable: `x'." + else disp in yellow "Treatment effect estimates. Outcome: `y'. Running variable: `x'. Treatment Status: `fuzzyvar'." + + disp in smcl in gr "{hline 19}{c TT}{hline 60}" + disp in smcl in gr "{ralign 18:Method}" _col(19) " {c |} " _col(24) "Coef." _col(33) `"Std. Err."' _col(46) "z" _col(52) "P>|z|" _col(61) `"[`level'% Conf. Interval]"' + disp in smcl in gr "{hline 19}{c +}{hline 60}" + + if ("`all'"=="") { + disp in smcl in gr "{ralign 18:Conventional}" _col(19) " {c |} " _col(22) in ye %7.0g scalar(tau_cl) _col(33) %7.0g scalar(se_tau_cl) _col(43) %5.4f scalar(tau_cl/se_tau_cl) _col(52) %5.3f scalar(2*normal(-abs(tau_cl/se_tau_cl))) _col(60) %8.0g scalar(tau_cl - quant*se_tau_cl) _col(73) %8.0g scalar(tau_cl + quant*se_tau_cl) + disp in smcl in gr "{ralign 18:Robust}" _col(19) " {c |} " _col(22) in ye %7.0g " -" _col(33) %7.0g " -" _col(43) %5.4f scalar(tau_bc/se_tau_rb) _col(52) %5.3f scalar(2*normal(-abs(tau_bc/se_tau_rb))) _col(60) %8.0g scalar(tau_bc - quant*se_tau_rb) _col(73) %8.0g scalar(tau_bc + quant*se_tau_rb) + } + else { + disp in smcl in gr "{ralign 18:Conventional}" _col(19) " {c |} " _col(22) in ye %7.0g scalar(tau_cl) _col(33) %7.0g scalar(se_tau_cl) _col(43) %5.4f scalar(tau_cl/se_tau_cl) _col(52) %5.3f scalar(2*normal(-abs(tau_cl/se_tau_cl))) _col(60) %8.0g scalar(tau_cl - quant*se_tau_cl) _col(73) %8.0g scalar(tau_cl + quant*se_tau_cl) + disp in smcl in gr "{ralign 18:Bias-corrected}" _col(19) " {c |} " _col(22) in ye %7.0g scalar(tau_bc) _col(33) %7.0g scalar(se_tau_cl) _col(43) %5.4f scalar(tau_bc/se_tau_cl) _col(52) %5.3f scalar(2*normal(-abs(tau_bc/se_tau_cl))) _col(60) %8.0g scalar(tau_bc - quant*se_tau_cl) _col(73) %8.0g scalar(tau_bc + quant*se_tau_cl) + disp in smcl in gr "{ralign 18:Robust}" _col(19) " {c |} " _col(22) in ye %7.0g scalar(tau_bc) _col(33) %7.0g scalar(se_tau_rb) _col(43) %5.4f scalar(tau_bc/se_tau_rb) _col(52) %5.3f scalar(2*normal(-abs(tau_bc/se_tau_rb))) _col(60) %8.0g scalar(tau_bc - quant*se_tau_rb) _col(73) %8.0g scalar(tau_bc + quant*se_tau_rb) + } + disp in smcl in gr "{hline 19}{c BT}{hline 60}" + + if ("`covs'"!="") di "Covariate-adjusted estimates. Additional covariates included: `ncovs'" +* if (`covs_drop_coll'>=1) di "Variables dropped due to multicollinearity." + if ("`cluster'"!="") di "Std. Err. adjusted for clusters in " "`clustvar'" + if ("`scalepar'"!="1") di "Scale parameter: " `scalepar' + if ("`scaleregul'"!="1") di "Scale regularization: " `scaleregul' + if ("`masspoints'"=="check") di "Running variable checked for mass points." + if ("`masspoints'"=="adjust" & masspoints_found==1) di "Estimates adjusted for mass points in the running variable." + + if ("`nowarnings'"!="") { + if (scalar(h_l)>=`range_l' | scalar(h_r)>=`range_r') disp in red "WARNING: bandwidth {it:h} greater than the range of the data." + if (scalar(b_l)>=`range_l' | scalar(b_r)>=`range_r') disp in red "WARNING: bandwidth {it:b} greater than the range of the data." + if (scalar(N_h_l)<20 | scalar(N_h_r)<20) disp in red "WARNING: bandwidth {it:h} too low." + if (scalar(N_b_l)<20 | scalar(N_b_r)<20) disp in red "WARNING: bandwidth {it:b} too low." + if ("`sharpbw'"~="") disp in red "WARNING: bandwidths automatically computed for sharp RD estimation." + if ("`perf_comp'"~="") disp in red "WARNING: bandwidths automatically computed for sharp RD estimation because perfect compliance was detected on at least one side of the threshold." + } + + local ci_l_rb = round(scalar(tau_bc - quant*se_tau_rb),0.001) + local ci_r_rb = round(scalar(tau_bc + quant*se_tau_rb),0.001) + + matrix rownames V = RD_Estimate + matrix colnames V = RD_Estimate + matrix colnames b = RD_Estimate + + local tempo: colfullnames V + matrix rownames V = `tempo' + + if ("`all'"~="") { + matrix rownames V = Conventional Bias-corrected Robust + matrix colnames V = Conventional Bias-corrected Robust + matrix colnames b = Conventional Bias-corrected Robust + } + + restore + + ereturn clear + cap ereturn post b V, esample(`touse') + ereturn scalar N = `N' + ereturn scalar N_l = scalar(N_l) + ereturn scalar N_r = scalar(N_r) + ereturn scalar N_h_l = scalar(N_h_l) + ereturn scalar N_h_r = scalar(N_h_r) + ereturn scalar N_b_l = scalar(N_b_l) + ereturn scalar N_b_r = scalar(N_b_r) + ereturn scalar c = `c' + ereturn scalar p = `p' + ereturn scalar q = `q' + ereturn scalar h_l = scalar(h_l) + ereturn scalar h_r = scalar(h_r) + ereturn scalar b_l = scalar(b_l) + ereturn scalar b_r = scalar(b_r) + ereturn scalar level = `level' + ereturn scalar tau_cl = scalar(tau_cl) + ereturn scalar tau_bc = scalar(tau_bc) + ereturn scalar tau_cl_l = scalar(tau_Y_cl_l) + ereturn scalar tau_cl_r = scalar(tau_Y_cl_r) + ereturn scalar tau_bc_l = scalar(tau_Y_bc_l) + ereturn scalar tau_bc_r = scalar(tau_Y_bc_r) + ereturn scalar bias_l = scalar(bias_l) + ereturn scalar bias_r = scalar(bias_r) + ereturn scalar se_tau_cl = scalar(se_tau_cl) + ereturn scalar se_tau_rb = scalar(se_tau_rb) + ereturn scalar ci_l_cl = scalar(tau_cl - quant*se_tau_cl) + ereturn scalar ci_r_cl = scalar(tau_cl + quant*se_tau_cl) + ereturn scalar pv_cl = scalar(2*normal(-abs(tau_cl/se_tau_cl))) + ereturn scalar ci_l_rb = scalar(tau_bc - quant*se_tau_rb) + ereturn scalar ci_r_rb = scalar(tau_bc + quant*se_tau_rb) + ereturn scalar pv_rb = scalar(2*normal(-abs(tau_bc/se_tau_rb))) + + if ("`fuzzy'"!="") { + ereturn scalar tau_T_cl = scalar(tau_T_cl) + ereturn scalar tau_T_bc = scalar(tau_T_bc) + ereturn scalar se_tau_T_cl = scalar(se_tau_T_cl) + ereturn scalar se_tau_T_rb = scalar(se_tau_T_rb) + + ereturn scalar tau_T_cl_l = scalar(tau_T_cl_l) + ereturn scalar tau_T_cl_r = scalar(tau_T_cl_r) + ereturn scalar tau_T_bc_l = scalar(tau_T_bc_l) + ereturn scalar tau_T_bc_r = scalar(tau_T_bc_r) + } + + ereturn matrix beta_p_r = beta_p_r + ereturn matrix beta_p_l = beta_p_l + + ereturn matrix V_cl_l = V_Y_cl_l + ereturn matrix V_cl_r = V_Y_cl_r + ereturn matrix V_rb_l = V_Y_bc_l + ereturn matrix V_rb_r = V_Y_bc_r + + ereturn local ci_rb [`ci_l_rb' ; `ci_r_rb'] + ereturn local kernel = "`kernel_type'" + ereturn local bwselect = "`bwselect'" + ereturn local vce_select = "`vce_type'" + if ("`covs'"!="") ereturn local covs "`covs_list'" + if ("`cluster'"!="") ereturn local clustvar "`clustvar'" + ereturn local outcomevar "`y'" + ereturn local runningvar "`x'" + ereturn local depvar "`y'" + ereturn local cmd "rdrobust" + + mata mata clear + +end diff --git a/30/replication_package/Adofiles/rd_2021/rdrobust.sthlp b/30/replication_package/Adofiles/rd_2021/rdrobust.sthlp new file mode 100644 index 0000000000000000000000000000000000000000..5d6c0e6f97b2c85bbe7d447ba8301b274939ef7f --- /dev/null +++ b/30/replication_package/Adofiles/rd_2021/rdrobust.sthlp @@ -0,0 +1,309 @@ +{smcl} +{* *!version 8.1.0 2021-02-22}{...} +{viewerjumpto "Syntax" "rdrobust##syntax"}{...} +{viewerjumpto "Description" "rdrobust##description"}{...} +{viewerjumpto "Options" "rdrobust##options"}{...} +{viewerjumpto "Examples" "rdrobust##examples"}{...} +{viewerjumpto "Stored results" "rdrobust##stored_results"}{...} +{viewerjumpto "References" "rdrobust##references"}{...} +{viewerjumpto "Authors" "rdrobust##authors"}{...} + + +{title:Title} + +{p 4 8}{cmd:rdrobust} {hline 2} Local Polynomial Regression Discontinuity Estimation with Robust Bias-Corrected Confidence Intervals and Inference Procedures.{p_end} + +{marker syntax}{...} +{title:Syntax} + +{p 4 8}{cmd:rdrobust} {it:depvar} {it:runvar} {ifin} +[{cmd:,} +{cmd:c(}{it:#}{cmd:)} +{cmd:fuzzy(}{it:fuzzyvar [sharpbw]}{cmd:)} +{cmd:deriv(}{it:#}{cmd:)} +{cmd:scalepar(}{it:#}{cmd:)} +{cmd:p(}{it:#}{cmd:)} +{cmd:q(}{it:#}{cmd:)} +{cmd:h(}{it:# #}{cmd:)} +{cmd:b(}{it:# #}{cmd:)} +{cmd:rho(}{it:#}{cmd:)} +{cmd:covs(}{it:covars}{cmd:)} +{cmd:covs_drop(}{it:covsdropoption}{cmd:)} +{cmd:kernel(}{it:kernelfn}{cmd:)} +{cmd:weights(}{it:weightsvar}{cmd:)} +{cmd:bwselect(}{it:bwmethod}{cmd:)} +{cmd:scaleregul(}{it:#}{cmd:)} +{cmd:masspoints(}{it:masspointsoption}{cmd:)} +{cmd:bwcheck(}{it:#}{cmd:)} +{cmd:bwrestrict(}{it:bwropt}{cmd:)} +{cmd:stdvars(}{it:stdopt}{cmd:)} +{cmd:vce(}{it:vcetype [vceopt1 vceopt2]}{cmd:)} +{cmd:level(}{it:#}{cmd:)} +{cmd:all} +]{p_end} + +{synoptset 28 tabbed}{...} + +{marker description}{...} +{title:Description} + +{p 4 8}{cmd:rdrobust} implements local polynomial Regression Discontinuity (RD) point estimators with robust bias-corrected confidence intervals and inference procedures developed in +{browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Titiunik_2014_ECMA.pdf":Calonico, Cattaneo and Titiunik (2014a)}, +{browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Farrell_2018_JASA.pdf":Calonico, Cattaneo and Farrell (2018)}, +{browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Farrell-Titiunik_2019_RESTAT.pdf":Calonico, Cattaneo, Farrell and Titiunik (2019)}, +and {browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Farrell_2020_ECTJ.pdf":Calonico, Cattaneo and Farrell (2020)}. +It also computes alternative estimation and inference procedures available in the literature.{p_end} + +{p 8 8} Companion commands are: {help rdbwselect:rdbwselect} for data-driven bandwidth selection, and {help rdplot:rdplot} for data-driven RD plots (see +{browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Titiunik_2015_JASA.pdf":Calonico, Cattaneo and Titiunik (2015a)} for details).{p_end} + +{p 8 8}A detailed introduction to this command is given in +{browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Titiunik_2014_Stata.pdf":Calonico, Cattaneo and Titiunik (2014b)}, +and {browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Farrell-Titiunik_2017_Stata.pdf":Calonico, Cattaneo, Farrell and Titiunik (2017)}. A companion {browse "www.r-project.org":R} package is also described in +{browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Titiunik_2015_R.pdf":Calonico, Cattaneo and Titiunik (2015b)}.{p_end} + +{p 4 8}Related Stata and R packages useful for inference in RD designs are described in the following website:{p_end} + +{p 8 8}{browse "https://rdpackages.github.io/":https://rdpackages.github.io/}{p_end} + + +{marker options}{...} +{title:Options} + +{dlgtab:Estimand} + +{p 4 8}{cmd:c(}{it:#}{cmd:)} specifies the RD cutoff for {it:indepvar}. +Default is {cmd:c(0)}.{p_end} + +{p 4 8}{cmd:fuzzy(}{it:fuzzyvar [sharpbw]}{cmd:)} specifies the treatment status variable used to implement fuzzy RD estimation (or Fuzzy Kink RD if {cmd:deriv(1)} is also specified). +Default is Sharp RD design and hence this option is not used. +If the option {it:sharpbw} is set, the fuzzy RD estimation is performed using a bandwidth selection procedure for the sharp RD model. This option is automatically selected if there is perfect compliance at either side of the threshold. +{p_end} + +{p 4 8}{cmd:deriv(}{it:#}{cmd:)} specifies the order of the derivative of the regression functions to be estimated. +Default is {cmd:deriv(0)} (for Sharp RD, or for Fuzzy RD if {cmd:fuzzy(.)} is also specified). Setting {cmd:deriv(1)} results in estimation of a Kink RD design (up to scale), or Fuzzy Kink RD if {cmd:fuzzy(.)} is also specified.{p_end} + +{p 4 8}{cmd:scalepar(}{it:#}{cmd:)} specifies scaling factor for RD parameter of interest. This option is useful when the estimator of interest requires a known multiplicative factor rescaling (e.g., Sharp Kink RD). +Default is {cmd:scalepar(1)} (no rescaling).{p_end} + +{dlgtab:Local Polynomial Regression} + +{p 4 8}{cmd:p(}{it:#}{cmd:)} specifies the order of the local polynomial used to construct the point estimator. +Default is {cmd:p(1)} (local linear regression).{p_end} + +{p 4 8}{cmd:q(}{it:#}{cmd:)} specifies the order of the local polynomial used to construct the bias correction. +Default is {cmd:q(2)} (local quadratic regression).{p_end} + +{p 4 8}{cmd:h(}{it:# #}{cmd:)} specifies the main bandwidth ({it:h}) used to construct the RD point estimator. If not specified, bandwidth {it:h} is computed by the companion command {help rdbwselect:rdbwselect}. +If two bandwidths are specified, the first bandwidth is used for the data below the cutoff and the second bandwidth is used for the data above the cutoff.{p_end} + +{p 4 8}{cmd:b(}{it:# #}{cmd:)} specifies the bias bandwidth ({it:b}) used to construct the bias-correction estimator. If not specified, bandwidth {it:b} is computed by the companion command {help rdbwselect:rdbwselect}. +If two bandwidths are specified, the first bandwidth is used for the data below the cutoff and the second bandwidth is used for the data above the cutoff.{p_end} + +{p 4 8}{cmd:rho(}{it:#}{cmd:)} specifies the value of {it:rho}, so that the bias bandwidth {it:b} equals {it:b}={it:h}/{it:rho}. +Default is {cmd:rho(1)} if {it:h} is specified but {it:b} is not.{p_end} + +{p 4 8}{cmd:covs(}{it:covars}{cmd:)} specifies additional covariates to be used for estimation and inference.{p_end} + +{p 4 8}{cmd:covs_drop(}{it:covsdropoption}{cmd:)} assess collinearity in additional covariates used for estimation and inference. Options {opt pinv} (default choice) and {opt invsym} drops collinear additional covariates, differing only in the type of inverse function used. Option {opt off} only checks collinear additional covariates but does not drop them.{p_end} + +{p 4 8}{cmd:kernel(}{it:kernelfn}{cmd:)} specifies the kernel function used to construct the local-polynomial estimator(s). Options are: {opt tri:angular}, {opt epa:nechnikov}, and {opt uni:form}. +Default is {cmd:kernel(triangular)}.{p_end} + +{p 4 8}{cmd:weights(}{it:weightsvar}{cmd:)} is the variable used for optional weighting of the estimation procedure. The unit-specific weights multiply the kernel function.{p_end} + +{dlgtab:Bandwidth Selection} + +{p 4 8}{cmd:bwselect(}{it:bwmethod}{cmd:)} specifies the bandwidth selection procedure to be used. By default it computes both {it:h} and {it:b}, unless {it:rho} is specified, in which case it only computes {it:h} and sets {it:b}={it:h}/{it:rho}. +Options are:{p_end} +{p 8 12}{opt mserd} one common MSE-optimal bandwidth selector for the RD treatment effect estimator.{p_end} +{p 8 12}{opt msetwo} two different MSE-optimal bandwidth selectors (below and above the cutoff) for the RD treatment effect estimator.{p_end} +{p 8 12}{opt msesum} one common MSE-optimal bandwidth selector for the sum of regression estimates (as opposed to difference thereof).{p_end} +{p 8 12}{opt msecomb1} for min({opt mserd},{opt msesum}).{p_end} +{p 8 12}{opt msecomb2} for median({opt msetwo},{opt mserd},{opt msesum}), for each side of the cutoff separately.{p_end} +{p 8 12}{opt cerrd} one common CER-optimal bandwidth selector for the RD treatment effect estimator.{p_end} +{p 8 12}{opt certwo} two different CER-optimal bandwidth selectors (below and above the cutoff) for the RD treatment effect estimator.{p_end} +{p 8 12}{opt cersum} one common CER-optimal bandwidth selector for the sum of regression estimates (as opposed to difference thereof).{p_end} +{p 8 12}{opt cercomb1} for min({opt cerrd},{opt cersum}).{p_end} +{p 8 12}{opt cercomb2} for median({opt certwo},{opt cerrd},{opt cersum}), for each side of the cutoff separately.{p_end} +{p 8 12}Note: MSE = Mean Square Error; CER = Coverage Error Rate.{p_end} +{p 8 12}Default is {cmd:bwselect(mserd)}. For details on implementation see +{browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Titiunik_2014_ECMA.pdf":Calonico, Cattaneo and Titiunik (2014a)}, +{browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Farrell_2018_JASA.pdf":Calonico, Cattaneo and Farrell (2017)}, +{browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Farrell_2020_ECTJ.pdf":Calonico, Cattaneo and Farrell (2020)}, +and {browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Farrell-Titiunik_2019_RESTAT.pdf":Calonico, Cattaneo, Farrell and Titiunik (2019)}, +and the companion software articles.{p_end} + +{p 4 8}{cmd:scaleregul(}{it:#}{cmd:)} specifies scaling factor for the regularization term added to the denominator of the bandwidth selectors. Setting {cmd:scaleregul(0)} removes the regularization term from the bandwidth selectors. +Default is {cmd:scaleregul(1)}.{p_end} + +{p 4 8}{cmd:masspoints(}{it:masspointsoption}{cmd:)} checks and controls for repeated observations in the running variable. +Options are:{p_end} +{p 8 12}{opt off} ignores the presence of mass points. {p_end} +{p 8 12}{opt check} looks for and reports the number of unique observations at each side of the cutoff. {p_end} +{p 8 12}{opt adjust} controls that the preliminary bandwidths used in the calculations contain a minimal number of unique observations. By default it uses 10 observations, but it can be manually adjusted with the option {cmd:bwcheck}.{p_end} +{p 8 12} Default option is {cmd:masspoints(adjust)}.{p_end} + +{p 4 8}{cmd:bwcheck(}{it:bwcheck}{cmd:)} if a positive integer is provided, the preliminary bandwidth used in the calculations is enlarged so that at least {it:bwcheck} unique observations are used. {p_end} + +{p 4 8}{cmd:bwrestrict(}{it:bwropt}{cmd:)} if set {opt on}, computed bandwidths are restricted to lie within the range of {it:runvar}. Default is {opt on}.{p_end} + +{p 4 8}{cmd:stdvars(}{it:stdopt}{cmd:)} if set {opt on}, {it:depvar} and {it:runvar} are standardized before computing the bandwidths. Default is {opt off}.{p_end} + +{dlgtab:Variance-Covariance Estimation} + +{p 4 8}{cmd:vce(}{it:vcetype [vceopt1 vceopt2]}{cmd:)} specifies the procedure used to compute the variance-covariance matrix estimator. +Options are:{p_end} +{p 8 12}{cmd:vce(nn }{it:[nnmatch]}{cmd:)} for heteroskedasticity-robust nearest neighbor variance estimator with {it:nnmatch} indicating the minimum number of neighbors to be used.{p_end} +{p 8 12}{cmd:vce(hc0)} for heteroskedasticity-robust plug-in residuals variance estimator without weights.{p_end} +{p 8 12}{cmd:vce(hc1)} for heteroskedasticity-robust plug-in residuals variance estimator with {it:hc1} weights.{p_end} +{p 8 12}{cmd:vce(hc2)} for heteroskedasticity-robust plug-in residuals variance estimator with {it:hc2} weights.{p_end} +{p 8 12}{cmd:vce(hc3)} for heteroskedasticity-robust plug-in residuals variance estimator with {it:hc3} weights.{p_end} +{p 8 12}{cmd:vce(nncluster }{it:clustervar [nnmatch]}{cmd:)} for cluster-robust nearest neighbor variance estimation using with {it:clustervar} indicating the cluster ID variable and {it: nnmatch} matches indicating the minimum number of neighbors to be used.{p_end} +{p 8 12}{cmd:vce(cluster }{it:clustervar}{cmd:)} for cluster-robust plug-in residuals variance estimation with degrees-of-freedom weights and {it:clustervar} indicating the cluster ID variable.{p_end} +{p 8 12}Default is {cmd:vce(nn 3)}.{p_end} + +{p 4 8}{cmd:level(}{it:#}{cmd:)} specifies confidence level for confidence intervals. +Default is {cmd:level(95)}.{p_end} + +{dlgtab:Other Options} + +{p 4 8}{cmd:all} if specified, {cmd:rdrobust} reports three different procedures:{p_end} +{p 8 12} (i) conventional RD estimates with conventional variance estimator.{p_end} +{p 8 12} (ii) bias-corrected RD estimates with conventional variance estimator.{p_end} +{p 8 12} (iii) bias-corrected RD estimates with robust variance estimator.{p_end} + + {hline} + + +{marker examples}{...} +{title:Example: Cattaneo, Frandsen and Titiunik (2015) Incumbency Data} + +{p 4 8}Setup{p_end} +{p 8 8}{cmd:. use rdrobust_senate.dta}{p_end} + +{p 4 8}Robust RD Estimation using MSE bandwidth selection procedure{p_end} +{p 8 8}{cmd:. rdrobust vote margin}{p_end} + +{p 4 8}Robust RD Estimation with both bandwidths set to 15{p_end} +{p 8 8}{cmd:. rdrobust vote margin, h(15)}{p_end} + +{p 4 8}Other generic examples ({cmd:y} outcome variable, {cmd:x} running variable, {cmd:t} treatment take-up indicator): + +{p 8 8}Estimation for Sharp RD designs{p_end} +{p 12 12}{cmd:. rdrobust y x, deriv(0)}{p_end} + +{p 8 8}Estimation for Sharp Kink RD designs{p_end} +{p 12 12}{cmd:. rdrobust y x, deriv(1)}{p_end} + +{p 8 8}Estimation for Fuzzy RD designs{p_end} +{p 12 12}{cmd:. rdrobust y x, fuzzy(t)}{p_end} + +{p 8 8}Estimation for Fuzzy Kink RD designs{p_end} +{p 12 12}{cmd:. rdrobust y x, fuzzy(t) deriv(1)}{p_end} + + +{marker stored_results}{...} +{title:Stored results} + +{p 4 8}{cmd:rdrobust} stores the following in {cmd:e()}: + +{synoptset 20 tabbed}{...} +{p2col 5 20 24 2: Scalars}{p_end} +{synopt:{cmd:e(N)}}original number of observations{p_end} +{synopt:{cmd:e(N_l)}}original number of observations to the left of the cutoff{p_end} +{synopt:{cmd:e(N_r)}}original number of observations to the right of the cutoff{p_end} +{synopt:{cmd:e(N_h_l)}}effective number of observations (given by the bandwidth h_l) used to the left of the cutoff{p_end} +{synopt:{cmd:e(N_h_r)}}effective number of observations (given by the bandwidth h_r) used to the right of the cutoff{p_end} +{synopt:{cmd:e(N_b_l)}}effective number of observations (given by the bandwidth b_l) used to the left of the cutoff{p_end} +{synopt:{cmd:e(N_b_r)}}effective number of observations (given by the bandwidth b_r) used to the right of the cutoff{p_end} +{synopt:{cmd:e(c)}}cutoff value{p_end} +{synopt:{cmd:e(p)}}order of the polynomial used for estimation of the regression function{p_end} +{synopt:{cmd:e(q)}}order of the polynomial used for estimation of the bias of the regression function estimator{p_end} +{synopt:{cmd:e(h_l)}}bandwidth used for estimation of the regression function below the cutoff{p_end} +{synopt:{cmd:e(h_r)}}bandwidth used for estimation of the regression function above the cutoff{p_end} +{synopt:{cmd:e(b_l)}}bandwidth used for estimation of the bias of the regression function estimator below the cutoff{p_end} +{synopt:{cmd:e(b_r)}}bandwidth used for estimation of the bias of the regression function estimator above the cutoff{p_end} +{synopt:{cmd:e(tau_cl)}}conventional local-polynomial RD estimate{p_end} +{synopt:{cmd:e(tau_cl_l)}}conventional local-polynomial left estimate{p_end} +{synopt:{cmd:e(tau_cl_r)}}conventional local-polynomial right estimate{p_end} +{synopt:{cmd:e(tau_bc)}}bias-corrected local-polynomial RD estimate{p_end} +{synopt:{cmd:e(tau_bc_l)}}bias-corrected local-polynomial left estimate{p_end} +{synopt:{cmd:e(tau_bc_r)}}bias-corrected local-polynomial right estimate{p_end} +{synopt:{cmd:e(se_tau_cl)}}conventional standard error of the local-polynomial RD estimator{p_end} +{synopt:{cmd:e(se_tau_rb)}}robust standard error of the local-polynomial RD estimator{p_end} +{synopt:{cmd:e(bias_l)}}estimated bias for the local-polynomial RD estimator below the cutoff{p_end} +{synopt:{cmd:e(bias_r)}}estimated bias for the local-polynomial RD estimator above the cutoff{p_end} + +{p2col 5 20 24 2: Macros}{p_end} +{synopt:{cmd:e(runningvar)}}name of running variable{p_end} +{synopt:{cmd:e(outcomevar)}}name of outcome variable{p_end} +{synopt:{cmd:e(clustvar)}}name of cluster variable{p_end} +{synopt:{cmd:e(covs)}}name of covariates{p_end} +{synopt:{cmd:e(vce_select)}}vcetype specified in vce(){p_end} +{synopt:{cmd:e(bwselect)}}bandwidth selection choice{p_end} +{synopt:{cmd:e(kernel)}}kernel choice{p_end} + +{p2col 5 20 24 2: Matrices}{p_end} +{synopt:{cmd:e(beta_p_r)}}conventional p-order local-polynomial estimates to the right of the cutoff{p_end} +{synopt:{cmd:e(beta_p_l)}}conventional p-order local-polynomial estimates to the left of the cutoff{p_end} +{synopt:{cmd:e(V_cl_r)}}conventional variance-covariance matrix to the right of the cutoff{p_end} +{synopt:{cmd:e(V_cl_l)}}conventional variance-covariance matrix to the left of the cutoff{p_end} +{synopt:{cmd:e(V_rb_r)}}robust variance-covariance matrix to the right of the cutoff{p_end} +{synopt:{cmd:e(V_rb_l)}}robust variance-covariance matrix to the left of the cutoff{p_end} + +{marker references}{...} +{title:References} + +{p 4 8}Calonico, S., M. D. Cattaneo, and M. H. Farrell. 2020. +{browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Farrell_2020_ECTJ.pdf":Optimal Bandwidth Choice for Robust Bias Corrected Inference in Regression Discontinuity Designs}. +{it:Econometrics Journal} 23(2): 192-210.{p_end} + +{p 4 8}Calonico, S., M. D. Cattaneo, and M. H. Farrell. 2018. +{browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Farrell_2018_JASA.pdf":On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference}. +{it:Journal of the American Statistical Association} 113(522): 767-779.{p_end} + +{p 4 8}Calonico, S., M. D. Cattaneo, M. H. Farrell, and R. Titiunik. 2019. +{browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Farrell-Titiunik_2019_RESTAT.pdf":Regression Discontinuity Designs using Covariates}. +{it:Review of Economics and Statistics}, 101(3): 442-451.{p_end} + +{p 4 8}Calonico, S., M. D. Cattaneo, M. H. Farrell, and R. Titiunik. 2017. +{browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Farrell-Titiunik_2017_Stata.pdf":rdrobust: Software for Regression Discontinuity Designs}. +{it:Stata Journal} 17(2): 372-404.{p_end} + +{p 4 8}Calonico, S., M. D. Cattaneo, and R. Titiunik. 2014a. +{browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Titiunik_2014_ECMA.pdf":Robust Nonparametric Confidence Intervals for Regression-Discontinuity Designs}. +{it:Econometrica} 82(6): 2295-2326.{p_end} + +{p 4 8}Calonico, S., M. D. Cattaneo, and R. Titiunik. 2014b. +{browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Titiunik_2014_Stata.pdf":Robust Data-Driven Inference in the Regression-Discontinuity Design}. +{it:Stata Journal} 14(4): 909-946.{p_end} + +{p 4 8}Calonico, S., M. D. Cattaneo, and R. Titiunik. 2015a. +{browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Titiunik_2015_JASA.pdf":Optimal Data-Driven Regression Discontinuity Plots}. +{it:Journal of the American Statistical Association} 110(512): 1753-1769.{p_end} + +{p 4 8}Calonico, S., M. D. Cattaneo, and R. Titiunik. 2015b. +{browse "https://rdpackages.github.io/references/Calonico-Cattaneo-Titiunik_2015_R.pdf":rdrobust: An R Package for Robust Nonparametric Inference in Regression-Discontinuity Designs}. +{it:R Journal} 7(1): 38-51.{p_end} + +{p 4 8}Cattaneo, M. D., B. Frandsen, and R. Titiunik. 2015. +{browse "https://rdpackages.github.io/references/Cattaneo-Frandsen-Titiunik_2015_JCI.pdf":Randomization Inference in the Regression Discontinuity Design: An Application to Party Advantages in the U.S. Senate}. +{it:Journal of Causal Inference} 3(1): 1-24.{p_end} + +{marker authors}{...} +{title:Authors} + +{p 4 8}Sebastian Calonico, Columbia University, New York, NY. +{browse "mailto:sebastian.calonico@columbia.edu":sebastian.calonico@columbia.edu}.{p_end} + +{p 4 8}Matias D. Cattaneo, Princeton University, Princeton, NJ. +{browse "mailto:cattaneo@princeton.edu":cattaneo@princeton.edu}.{p_end} + +{p 4 8}Max H. Farrell, University of Chicago, Chicago, IL. +{browse "mailto:max.farrell@chicagobooth.edu":max.farrell@chicagobooth.edu}.{p_end} + +{p 4 8}Rocio Titiunik, Princeton University, Princeton, NJ. +{browse "mailto:titiunik@princeton.edu":titiunik@princeton.edu}.{p_end} + + diff --git a/30/replication_package/Adofiles/rd_2021/rdrobust_bw.mo b/30/replication_package/Adofiles/rd_2021/rdrobust_bw.mo new file mode 100644 index 0000000000000000000000000000000000000000..3eb0bdd71bf0a540f0da360796bda3784e3b1a49 Binary files /dev/null and b/30/replication_package/Adofiles/rd_2021/rdrobust_bw.mo differ diff --git a/30/replication_package/Adofiles/rd_2021/rdrobust_kweight.mo b/30/replication_package/Adofiles/rd_2021/rdrobust_kweight.mo new file mode 100644 index 0000000000000000000000000000000000000000..0f0f55d2da8f9faca21e2748fd79e42a8a80215f Binary files /dev/null and b/30/replication_package/Adofiles/rd_2021/rdrobust_kweight.mo differ diff --git a/30/replication_package/Adofiles/rd_2021/rdrobust_res.mo b/30/replication_package/Adofiles/rd_2021/rdrobust_res.mo new file mode 100644 index 0000000000000000000000000000000000000000..6e49e320f187cd1120006a012de789ca2c35f427 Binary files /dev/null and b/30/replication_package/Adofiles/rd_2021/rdrobust_res.mo differ diff --git a/30/replication_package/Adofiles/rd_2021/rdrobust_vce.mo b/30/replication_package/Adofiles/rd_2021/rdrobust_vce.mo new file mode 100644 index 0000000000000000000000000000000000000000..ac3f0747f2e5074e8b63907625387485dff0ba61 Binary files /dev/null and b/30/replication_package/Adofiles/rd_2021/rdrobust_vce.mo differ diff --git a/30/replication_package/Adofiles/reghdfe_2019/reghdfe.ado b/30/replication_package/Adofiles/reghdfe_2019/reghdfe.ado new file mode 100644 index 0000000000000000000000000000000000000000..7dd0a6769f6b99dd9457818a606674b8b2b4383e --- /dev/null +++ b/30/replication_package/Adofiles/reghdfe_2019/reghdfe.ado @@ -0,0 +1,539 @@ +*! version 5.7.3 13nov2019 + +program reghdfe, eclass + * Intercept old+version + cap syntax, version old + if !c(rc) { + reghdfe_old, version + exit + } + + * Intercept old + cap syntax anything(everything) [fw aw pw/], [*] old + if !c(rc) { + di as error "(running historical version of reghdfe)" + if ("`weight'"!="") local weightexp [`weight'=`exp'] + reghdfe_old `anything' `weightexp', `options' + exit + } + + * Aux. subcommands + cap syntax, [*] + if inlist("`options'", "check", "compile", "reload", "update", "version", "requirements", "store_alphas") { + if ("`options'"=="compile") loc args force + if ("`options'"=="check") loc options compile + if ("`options'"=="update") { + loc args 1 + loc options reload + } + loc subcmd = proper("`options'") + `subcmd' `args' + } + else if replay() { + Replay `0' + } + else { + Cleanup 0 + ms_get_version ftools, min_version("2.36.1") // Compile // takes 0.01s to run this useful check (ensures .mlib exists) + cap noi Estimate `0' + Cleanup `c(rc)' + } +end + + +program Compile + args force + + * Check dependencies + ftools, check // in case lftools.mlib does not exist or is outdated + ms_get_version ftools, min_version("2.34.0") + ms_get_version reghdfe // save local package_version + loc list_objects "FixedEffects() fixed_effects() BipartiteGraph()" + loc list_functions "reghdfe_*() transform_*() accelerate_*() panelmean() panelsolve_*() lsmr()" + loc list_misc "weighted_quadcolsum() safe_divide() check_convergence() precompute_inv_xx() _st_data_wrapper()" + // TODO: prefix everything with reghdfe_* + + ms_compile_mata, /// + package(reghdfe) /// + version(`package_version') /// + fun("`list_objects' `list_functions' `list_misc'") /// + verbose /// + `force' +end + + +program Reload + * Internal debugging tool. + * Updates dependencies and reghdfe from local path or from github + * Usage: + * reghdfe, update // from c:\git\.. + * reghdfe, reload // from github + + args online + if ("`online'" == "") loc online 0 + + di as text _n "{bf:reghdfe: updating required packages}" + di as text "{hline 64}" + + * -ftools- https://github.com/sergiocorreia/ftools/ + cap ado uninstall ftools + if (`online') net install ftools, from("https://github.com/sergiocorreia/ftools/raw/master/src/") + if (!`online') net install ftools, from("c:\git\ftools\src") + di as text "{hline 64}" + ftools, compile + di as text "{hline 64}" + + * Update -reghdfe- + di as text _n _n "{bf:reghdfe: updating self}" + di as text "{hline 64}" + qui ado uninstall reghdfe + if (`online') net install reghdfe, from("https://github.com/sergiocorreia/reghdfe/raw/master/src/") + if (!`online') net install reghdfe, from("c:\git\reghdfe\src") + qui which reghdfe + di as text "{hline 64}" + reghdfe, compile + di as text "{hline 64}" + + * Cleaning up + di as text _n "{bf:Note:} You need to run {stata program drop _all} now." +end + + +program Version + which reghdfe + Requirements +end + + +program Requirements + di as text _n "Required packages installed?" + loc reqs ftools + // ivreg2 avar tuples group3hdfe + if (c(stata_version)<13) loc reqs `reqs' boottest + + loc ftools_github "https://github.com/sergiocorreia/ftools/raw/master/src/" + + loc error 0 + + foreach req of local reqs { + loc fn `req'.ado + cap findfile `fn' + if (_rc) { + loc error 1 + di as text "{lalign 20:- `req'}" as error "not" _c + di as text " {stata ssc install `req':install from SSC}" _c + if inlist("`req'", "ftools") { + loc github ``req'_github' + di as text `" {stata `"net install `req', from(`"`github'"')"':install from github}"' + } + else { + di as text // newline + } + } + else { + di as text "{lalign 20:- `req'}" as text "yes" + } + } + + if (`error') exit 601 +end + + +program Store_Alphas, eclass + mata: st_local("save_any_fe", strofreal(HDFE.save_any_fe)) + assert inlist(`save_any_fe', 0, 1) + if (`save_any_fe') { + _assert e(depvar) != "", msg("e(depvar) is empty") + _assert e(resid) != "", msg("e(resid) is empty") + // we can't use -confirm var- because it might have TS operators + fvrevar `e(depvar)', list + confirm numeric var `e(resid)', exact + tempvar d + if (e(rank)) { + qui _predict double `d' if e(sample), xb + } + else if (e(report_constant)) { + gen double `d' = _b[_cons] if e(sample) + } + else { + gen double `d' = 0 if e(sample) + } + qui replace `d' = `e(depvar)' - `d' - `e(resid)' if e(sample) + + mata: HDFE.store_alphas("`d'") + drop `d' + + // Drop resid if we don't want to save it; and update e(resid) + cap drop __temp_reghdfe_resid__ + if (!c(rc)) ereturn local resid + } +end + + +program Cleanup + args rc + cap mata: mata drop HDFE + cap mata: mata drop hdfe_* + cap drop __temp_reghdfe_resid__ + cap matrix drop reghdfe_statsmatrix + if (`rc' == 132) { + di as text "- If you got the {it:parentheses unbalanced} error, note that IV/2SLS was moved to {help ivreghdfe}" + di as smcl `"- Latest version: {browse "https://github.com/sergiocorreia/ivreghdfe":https://github.com/sergiocorreia/ivreghdfe}"' + di as smcl `"- SSC version: {stata "net describe ivreghdfe, from(http://fmwww.bc.edu/RePEc/bocode/i)"}"' + di as smcl `"- Note: the older functionality can still be accessed through the {it:old} option"' + } + if (`rc') exit `rc' +end + + +program Parse + * Trim whitespace (caused by "///" line continuations; aesthetic only) + mata: st_local("0", stritrim(st_local("0"))) + + * Main syntax + #d; + syntax varlist(fv ts numeric) [if] [in] [aw pw fw/] , [ + + /* Model */ + Absorb(string) NOAbsorb + SUmmarize SUmmarize2(string asis) /* simulate implicit options */ + + /* Standard Errors */ + VCE(string) CLuster(string) + + /* Diagnostic */ + Verbose(numlist min=1 max=1 >=-1 <=5 integer) + TIMEit + + /* Speedup and memory Tricks */ + NOSAMPle /* do not save e(sample) */ + COMPACT /* use as little memory as possible but is slower */ + + /* Extra display options (based on regress) */ + noHEader noTABle noFOOTnote + + /* Undocumented */ + KEEPSINgletons + OLD /* use latest v3 */ + NOTES(string) /* NOTES(key=value ...), will be stored on e() */ + + ] [*] /* capture optimization options, display options, etc. */ + ; + #d cr + + * Unused + * SAVEcache + * USEcache + * CLEARcache + + * Convert options to boolean + if ("`verbose'" == "") loc verbose 0 + loc timeit = ("`timeit'"!="") + loc drop_singletons = ("`keepsingletons'" == "") + loc compact = ("`compact'" != "") + + if (`timeit') timer on 29 + + * Sanity checks + if (`verbose'>-1 & "`keepsingletons'"!="") { + loc url "http://scorreia.com/reghdfe/nested_within_cluster.pdf" + loc msg "WARNING: Singleton observations not dropped; statistical significance is biased" + di as error `"`msg' {browse "`url'":(link)}"' + } + if ("`cluster'"!="") { + _assert ("`vce'"==""), msg("cannot specify both cluster() and vce()") + loc vce cluster `cluster' + loc cluster // clear it to avoid bugs in subsequent lines + } + + * Split varlist into and + ms_parse_varlist `varlist' + if (`verbose' > 0) { + di as text _n "## Parsing varlist: {res}`varlist'" + return list + } + loc depvar `r(depvar)' + loc indepvars `r(indepvars)' + loc fe_format "`r(fe_format)'" + loc basevars `r(basevars)' + + * Parse Weights + if ("`weight'"!="") { + unab exp : `exp', min(1) max(1) // simple weights only + } + + * Parse VCE + ms_parse_vce, vce(`vce') weighttype(`weight') + if (`verbose' > 0) { + di as text _n "## Parsing vce({res}`vce'{txt})" + sreturn list + } + loc vcetype = "`s(vcetype)'" + loc num_clusters = `s(num_clusters)' + loc clustervars = "`s(clustervars)'" + loc base_clustervars = "`s(base_clustervars)'" + loc vceextra = "`s(vceextra)'" + + * Select sample (except for absvars) + loc varlist `depvar' `indepvars' `base_clustervars' + tempvar touse + marksample touse, strok // based on varlist + cluster + if + in + weight + + * Parse noabsorb + _assert ("`absorb'`noabsorb'" != ""), msg("option {bf:absorb()} or {bf:noabsorb} required") + if ("`noabsorb'" != "") { + _assert ("`absorb'" == ""), msg("{bf:absorb()} and {bf:noabsorb} are mutually exclusive") + } + + if (`timeit') timer off 29 + + * Construct HDFE object + // SYNTAX: fixed_effects(absvars | , touse, wtype, wtvar, dropsing, verbose) + ms_add_comma, loc(absorb) cmd(`"`absorb'"') opt(`"`options'"') + if (`timeit') timer on 20 + mata: HDFE = fixed_effects(`"`absorb'"', "`touse'", "`weight'", "`exp'", `drop_singletons', `verbose') + if (`timeit') timer off 20 + mata: HDFE.cmdline = "reghdfe " + st_local("0") + loc options `s(options)' + + mata: st_local("N", strofreal(HDFE.N)) + if (`N' == 0) error 2000 + + * Fill out HDFE object + * mata: HDFE.varlist = "`base_varlist'" + mata: HDFE.depvar = "`depvar'" + mata: HDFE.indepvars = "`indepvars'" + mata: HDFE.vcetype = "`vcetype'" + mata: HDFE.num_clusters = `num_clusters' + mata: HDFE.clustervars = tokens("`clustervars'") + mata: HDFE.base_clustervars = tokens("`base_clustervars'") + mata: HDFE.vceextra = "`vceextra'" + + * Preserve memory + mata: HDFE.compact = `compact' + if (`compact') { + loc panelvar "`_dta[_TSpanel]'" + loc timevar "`_dta[_TStvar]'" + + cap conf var `panelvar', exact + if (c(rc)) loc panelvar + + cap conf var `timevar', exact + if (c(rc)) loc timevar + + mata: HDFE.panelvar = "`panelvar'" + mata: HDFE.timevar = "`timevar'" + c_local keepvars `basevars' `base_clustervars' `panelvar' `timevar' // `exp' + } + + * Parse summarize + if ("`summarize'" != "") { + _assert ("`summarize2'" == ""), msg("summarize() syntax error") + loc summarize2 mean min max // default values + } + ParseSummarize `summarize2' + mata: HDFE.summarize_stats = "`s(stats)'" + mata: HDFE.summarize_quietly = `s(quietly)' + + + * Parse misc options + mata: HDFE.notes = `"`notes'"' + mata: HDFE.store_sample = ("`nosample'"=="") + mata: HDFE.timeit = `timeit' + + + * Parse Coef Table Options (do this last!) + _get_diopts diopts options, `options' // store in `diopts', and the rest back to `options' + loc diopts `diopts' `header' `table' `footnote' + _assert (`"`options'"'==""), msg(`"invalid options: `options'"') + if ("`hascons'"!="") di in ye "(option ignored: `hascons')" + if ("`tsscons'"!="") di in ye "(option ignored: `tsscons')" + mata: HDFE.diopts = `"`diopts'"' +end + + +program ParseSummarize, sclass + sreturn clear + syntax [namelist(name=stats)] , [QUIetly] + local quietly = ("`quietly'"!="") + sreturn loc stats "`stats'" + sreturn loc quietly = `quietly' +end + +// -------------------------------------------------------------------------- + +program Estimate, eclass + ereturn clear + + * Parse and fill out HDFE object + Parse `0' + mata: st_local("timeit", strofreal(HDFE.timeit)) + mata: st_local("compact", strofreal(HDFE.compact)) + mata: st_local("verbose", strofreal(HDFE.verbose)) + + * Compute degrees-of-freedom + if (`timeit') timer on 21 + mata: HDFE.estimate_dof() + if (`timeit') timer off 21 + + * Save updated e(sample) (singletons reduce sample); + * required to parse factor variables to partial out + if (`timeit') timer on 29 + tempvar touse + mata: HDFE.save_touse("`touse'") + if (`timeit') timer off 29 + + * Expand varlists + if (`timeit') timer on 22 + mata: st_local("depvar", HDFE.depvar) + mata: st_local("indepvars", HDFE.indepvars) + if (`verbose' > 0) di as text _n "## Parsing and expanding indepvars: {res}`indepvars'" + ms_expand_varlist `indepvars' if `touse' + if (`verbose' > 0) return list + mata: HDFE.fullindepvars = "`r(fullvarlist)'" + mata: HDFE.indepvars = "`r(varlist)'" + mata: HDFE.not_basevar = strtoreal(tokens("`r(not_omitted)'")) + mata: HDFE.varlist = "`depvar' `r(varlist)'" + if (`timeit') timer off 22 + + * Stats + mata: st_local("stats", HDFE.summarize_stats) + if ("`stats'" != "") Stats `touse' + + * Condition number + mata: HDFE.estimate_cond() + + * Preserve + if (`compact') { + if (`verbose' > 0) di as text "## Preserving dataset" + preserve + novarabbrev keep `keepvars' + } + + * Partial out; save TSS of depvar + if (`timeit') timer on 23 + // SYNTAX: partial_out(Varlist/Matrix | , Save TSS if HDFE.tss is missing? [0], Standardize data? [1], First col is depvar? [1]) + // Note: standardize=2 will standardize, partial out, and return the data standardized! + mata: hdfe_variables = HDFE.partial_out(HDFE.varlist, 1, 2, .) + if (`timeit') timer off 23 + + * Regress + if (`timeit') timer on 24 + tempname b V N rank df_r + mata: reghdfe_post_ols(HDFE, hdfe_variables, "`b'", "`V'", "`N'", "`rank'", "`df_r'") + mata: hdfe_variables = . + * Restore + if (`compact') { + if (`verbose' > 0) di as text "## Restoring dataset" + restore + mata: st_local("residuals", HDFE.residuals) + if ("`residuals'" != "") mata: HDFE.save_variable(HDFE.residuals, HDFE.residuals_vector, "Residuals") + } + RegressOLS `touse' `b' `V' `N' `rank' `df_r' + if (`timeit') timer off 24 + + * (optional) Store FEs + if (`timeit') timer on 29 + reghdfe, store_alphas + if (`timeit') timer off 29 + + * View estimation tables + mata: st_local("diopts", HDFE.diopts) + Replay, `diopts' + + if (`timeit') { + di as text _n "{bf: Timer results:}" + timer list + di as text "Legend: 20: Create HDFE object; 21: Estimate DoF; 22: expand varlists; 23: partial out; 24: regress; 29: rest" + di + } +end + + +program RegressOLS, eclass + args touse b V N rank df_r + + mata: st_local("store_sample", strofreal(HDFE.store_sample)) + if (`store_sample') loc esample "esample(`touse')" + + mata: st_local("indepvars", HDFE.fullindepvars) + if ("`indepvars'" != "") { + matrix colnames `b' = `indepvars' + matrix colnames `V' = `indepvars' + matrix rownames `V' = `indepvars' + _ms_findomitted `b' `V' + ereturn post `b' `V', `esample' buildfvinfo depname(`depvar') + } + else { + ereturn post, `esample' buildfvinfo depname(`depvar') + } + + ereturn scalar N = `N' + ereturn scalar rank = `rank' + ereturn scalar df_r = `df_r' + ereturn local cmd "reghdfe" + mata: HDFE.post() + + * Post stats + cap conf matrix reghdfe_statsmatrix + if (!c(rc)) { + ereturn matrix summarize = reghdfe_statsmatrix + mata: st_local("summarize_quietly", strofreal(HDFE.summarize_quietly)) + ereturn scalar summarize_quietly = `summarize_quietly' + } +end + + +program Replay, rclass + syntax [, noHEader noTABle noFOOTnote *] + + if `"`e(cmd)'"' != "reghdfe" { + error 301 + } + + _get_diopts options, `options' + if ("`header'" == "") { + reghdfe_header // _coef_table_header + di "" + } + if ("`table'" == "") { + _coef_table, `options' // ereturn display, `options' + return add // adds r(level), r(table), etc. to ereturn (before the footnote deletes them) + } + if ("`footnote'" == "") { + reghdfe_footnote + } + + * Replay stats + if (e(summarize_quietly)==0) { + di as text _n "{sf:Regression Summary Statistics:}" _c + matlist e(summarize)', border(top bottom) rowtitle(Variable) // twidth(18) + } +end + + +program Stats + args touse + * Optional weights + mata: st_local("weight", sprintf("[%s=%s]", HDFE.weight_type, HDFE.weight_var)) + assert "`weight'" != "" + if ("`weight'" == "[=]") loc weight + loc weight : subinstr local weight "[pweight" "[aweight" + + mata: st_local("stats", HDFE.summarize_stats) + mata: st_local("varlist", HDFE.varlist) + mata: st_local("cvars", invtokens(HDFE.cvars)) + loc full_varlist `varlist' `cvars' + + * quick workaround b/c -tabstat- does not support factor variables + fvrevar `full_varlist', list + loc full_varlist `r(varlist)' + + qui tabstat `full_varlist' if `touse' `weight' , stat(`stats') col(stat) save + matrix reghdfe_statsmatrix = r(StatTotal) +end + +findfile "reghdfe.mata" +include "`r(fn)'" + +exit diff --git a/30/replication_package/Adofiles/reghdfe_2019/reghdfe.mata b/30/replication_package/Adofiles/reghdfe_2019/reghdfe.mata new file mode 100644 index 0000000000000000000000000000000000000000..13ebdb56f9da6eb41ef0bb9801d0d24a951af217 --- /dev/null +++ b/30/replication_package/Adofiles/reghdfe_2019/reghdfe.mata @@ -0,0 +1,62 @@ +// -------------------------------------------------------------------------- +// Mata Code: FE Estimator (REGHDFE) +// -------------------------------------------------------------------------- +// - Project URL: https://github.com/sergiocorreia/reghdfe +// - Dependency: https://github.com/sergiocorreia/ftools + + *mata: mata clear + *mata: mata set matastrict on + mata: mata set mataoptimize on + *mata: mata set matadebug off + *mata: mata set matalnum off + +// Include ftools ----------------------------------------------------------- + cap findfile "ftools.mata" + if (_rc) { + di as error "reghdfe requires the {bf:ftools} package, which is not installed" + di as error `" - install from {stata ssc install ftools:SSC}"' + di as error `" - install from {stata `"net install ftools, from("https://github.com/sergiocorreia/ftools/raw/master/src/")"':Github}"' + exit 9 + } + include "`r(fn)'" + + +// Custom types ------------------------------------------------------------- + loc FixedEffects class FixedEffects scalar + loc Factors class Factor rowvector + loc BipartiteGraph class BipartiteGraph scalar + loc FactorPointer pointer(`Factor') scalar + + +// Versioning --------------------------------------------------------------- + ms_get_version reghdfe // from parsetools package + assert("`package_version'" != "") + mata: string scalar reghdfe_version() return("`package_version'") + mata: string scalar reghdfe_stata_version() return("`c(stata_version)'") + mata: string scalar reghdfe_joint_version() return("`package_version'|`c(stata_version)'") + + +// Includes ----------------------------------------------------------------- + findfile "reghdfe_bipartite.mata" + include "`r(fn)'" + + findfile "reghdfe_class.mata" + include "`r(fn)'" + + findfile "reghdfe_constructor.mata" + include "`r(fn)'" + + findfile "reghdfe_common.mata" + include "`r(fn)'" + + findfile "reghdfe_projections.mata" + include "`r(fn)'" + + findfile "reghdfe_transforms.mata" + include "`r(fn)'" + + findfile "reghdfe_accelerations.mata" + include "`r(fn)'" + + findfile "reghdfe_lsmr.mata" + include "`r(fn)'" diff --git a/30/replication_package/Adofiles/reghdfe_2019/reghdfe.sthlp b/30/replication_package/Adofiles/reghdfe_2019/reghdfe.sthlp new file mode 100644 index 0000000000000000000000000000000000000000..b130417c5ac23dba9a4af3340307fa0fbcf064ec --- /dev/null +++ b/30/replication_package/Adofiles/reghdfe_2019/reghdfe.sthlp @@ -0,0 +1,801 @@ +{smcl} +{* *! version 5.7.3 13nov2019}{...} +{vieweralsosee "[R] areg" "help areg"}{...} +{vieweralsosee "[R] xtreg" "help xtreg"}{...} +{vieweralsosee "[R] ivregress" "help ivregress"}{...} +{vieweralsosee "" "--"}{...} +{vieweralsosee "reghdfe_mata" "help reghdfe_mata"}{...} +{vieweralsosee "ivreghdfe" "help ivreghdfe"}{...} +{vieweralsosee "ppmlhdfe" "help ppmlhdfe"}{...} +{vieweralsosee "ivreg2" "help ivreg2"}{...} +{vieweralsosee "ftools" "help ftools"}{...} +{vieweralsosee "" "--"}{...} +{vieweralsosee "ivregress" "help ivregress"}{...} +{vieweralsosee "reg2hdfe" "help reg2hdfe"}{...} +{vieweralsosee "a2reg" "help a2reg"}{...} +{viewerjumpto "Syntax" "reghdfe##syntax"}{...} +{viewerjumpto "description" "reghdfe##description"}{...} +{viewerjumpto "Options" "reghdfe##options"}{...} +{viewerjumpto "Postestimation Syntax" "reghdfe##postestimation"}{...} +{viewerjumpto "Remarks" "reghdfe##remarks"}{...} +{viewerjumpto "Examples" "reghdfe##examples"}{...} +{viewerjumpto "Stored results" "reghdfe##results"}{...} +{viewerjumpto "Author" "reghdfe##contact"}{...} +{viewerjumpto "Updates" "reghdfe##updates"}{...} +{viewerjumpto "Acknowledgements" "reghdfe##acknowledgements"}{...} +{viewerjumpto "References" "reghdfe##references"}{...} +{title:Title} + +{p2colset 5 18 20 2}{...} +{p2col :{cmd:reghdfe} {hline 2}}Linear regression absorbing multiple levels of fixed effects{p_end} +{p2colreset}{...} + +{marker syntax}{...} +{title:Syntax} + +{p 8 15 2} {cmd:reghdfe} +{depvar} [{indepvars}] +{ifin} {it:{weight}} {cmd:,} {opth a:bsorb(reghdfe##absvar:absvars)} [{help reghdfe##options:options}] {p_end} + +{marker opt_summary}{...} +{synoptset 22 tabbed}{...} +{synopthdr} +{synoptline} +{syntab:Model {help reghdfe##opt_model:[+]}} +{p2coldent:* {opth a:bsorb(reghdfe##absvar:absvars)}}categorical variables that identify the fixed effects to be absorbed{p_end} +{synopt: {cmdab:a:bsorb(}{it:...}{cmd:,} {cmdab:save:fe)}}save all fixed effect estimates with the {it:__hdfe*} prefix{p_end} +{synopt: {cmdab:noa:bsorb}}only absorb the constant; alternative to +{cmd:regress} that supports for multi-way-clustering{p_end} +{synopt : {opth res:iduals(newvar)}}save residuals; {it:predict, d} requires this option{p_end} +{synopt :{opth su:mmarize(tabstat##statname:stats)}}equivalent to the postestimation command {help reghdfe##postestimation:estat summarize}, +but more flexible, faster, and saves results on {it:e(summarize)}{p_end} + +{syntab:SE/Robust {help reghdfe##opt_vce:[+]}} +{p2coldent:+ {opt vce}{cmd:(}{help reghdfe##opt_vce:vcetype} [{cmd:,}{it:opt}]{cmd:)}}{it:vcetype} +may be {opt un:adjusted} (default), {opt r:obust} or {opt cl:uster} {help fvvarlist} (allowing two- and multi-way clustering){p_end} + +{syntab:Diagnostic {help reghdfe##opt_diagnostic:[+]}} +{synopt :{opt v:erbose(#)}}amount of debugging information to show (0=None, 1=Some, 2=More, 3=Parsing/convergence details, 4=Every iteration){p_end} +{synopt :{opt time:it}}show elapsed times by stage of computation{p_end} + +{syntab:Optimization {help reghdfe##opt_optimization:[+]}} +{p2coldent:+ {opth tol:erance(#)}}criterion for convergence (default=1e-8){p_end} +{synopt :{opth maxit:erations(#)}}maximum number of iterations (default=10,000); if set to missing ({cmd:.}) it will run for as long as it takes.{p_end} +{synopt :{opt accel:eration(str)}}acceleration method; options are conjugate_gradient (cg), steep_descent (sd), aitken (a), +{browse "http://web.stanford.edu/group/SOL/software/lsmr/":lsmr} (with diagonal preconditioner), and none (no){p_end} +{synopt :{opt transf:orm(str)}}transform operation that defines the type of alternating projection; options are Kaczmarz (kac), Cimmino (cim), Symmetric Kaczmarz (sym). +This is ignored with LSMR acceleration{p_end} +{synopt :{opt prune}}prune vertices of degree-1; acts as a preconditioner +that is useful if the underlying network is very sparse{p_end} +{synopt :{opt cond}}compute the finite condition number; +will only run successfully with few fixed effects +(because it computes the eigenvalues of the graph Laplacian){p_end} + +{syntab:Memory Usage {help reghdfe##memory:[+]}} +{synopt :{opth pool:size(#)}}apply the within algorithm in groups of {it:#} variables (else, it will run on all variables at the same time). +A large pool size is usually faster but uses more memory{p_end} +{synopt :{opt compact}}preserve the dataset and drop variables as much as possible on every step{p_end} + +{syntab:Speedup Tricks {help reghdfe##opt_speedup:[+]}} +{synopt :{opt nosamp:le}}will not create {it:e(sample)}, +saving some space and speed{p_end} + +{syntab:Degrees-of-Freedom Adjustments {help reghdfe##opt_dof:[+]}} +{synopt :{opt dof:adjustments(list)}}allows selecting the desired adjustments for degrees of freedom; +rarely used{p_end} +{synopt: {opth groupv:ar(newvar)}}unique identifier for the first mobility group{p_end} + +{syntab:Reporting {help reghdfe##opt_reporting:[+]}} +{synopt :{opt version:}}reports the version number and date of reghdfe, and the list of required packages. standalone option{p_end} +{synopt :{opt l:evel(#)}}set confidence level; default is {cmd:level(95)}{p_end} +{synopt :{it:{help reghdfe##display_options:display_options}}}control column formats, row spacing, line width, display of omitted variables and base and empty cells, and factor-variable labeling.{p_end} +{synopt :}particularly useful are the {opt noomit:ted} and {opt noempty} options to hide regressors omitted due to collinearity{p_end} + +{syntab:Undocumented} +{synopt :{opt keepsin:gletons}}do not drop singleton groups{p_end} +{synopt :{opt nocon:stant}}Do not report estimates for {it:_cons}{p_end} +{synopt :{opt old}}will call the latest 3.x version of reghdfe instead (see the {help reghdfe_old:old help file}){p_end} +{synopt :{opth rre(varname)}}where varname is the residual of a proven prev. regression of y against only the FEs{p_end} +{synopt :{opt check}}compile {it:lreghdfe.mlib} if it does not exist or if it needs to be updated; +use {cmd:reghdfe,compile} to force an update{p_end} +{synopt :{opt update}}update reghdfe and dependencies from the respective Github repositories; +use {cmd:reghdfe,reload} to do so from {it:c:\git\*}{p_end} +{synoptline} +{p2colreset}{...} +{p 4 6 2}* either {opt a:bsorb(absvars)} or {opt noa:bsorb} is required.{p_end} +{p 4 6 2}+ indicates a recommended or important option.{p_end} +{p 4 6 2}the regression variables may contain {help tsvarlist:time-series operators} and {help fvvarlist:factor variables}; +the dependent variable cannot be of the form {it:i.turn}, but {it:42.turn} is allowed{p_end} +{p 4 6 2}{cmd:fweight}s, {cmd:aweight}s and {cmd:pweight}s are allowed; see {help weight}.{p_end} + + +{marker absvar}{...} +{title:Absvar Syntax} + +{synoptset 22}{...} +{synopthdr:absvar} +{synoptline} +{synopt:{cmd:i.}{it:varname}}categorical variable to be absorbed (the {cmd:i.} prefix is tacit){p_end} +{synopt:{cmd:i.}{it:var1}{cmd:#i.}{it:var2}}absorb the interactions of multiple categorical variables{p_end} +{synopt:{cmd:i.}{it:var1}{cmd:#}{cmd:c.}{it:var2}}absorb heterogeneous slopes, where {it:var2} has a different slope coef. depending on the category of {it:var1}{p_end} +{synopt:{it:var1}{cmd:##}{cmd:c.}{it:var2}}equivalent to "{cmd:i.}{it:var1} {cmd:i.}{it:var1}{cmd:#}{cmd:c.}{it:var2}", but {it:much} faster{p_end} +{synopt:{it:var1}{cmd:##c.(}{it:var2 var3}{cmd:)}}multiple heterogeneous slopes are allowed together. Alternative syntax: {it:var1}{cmd:##(c.}{it:var2} {cmd:c.}{it:var3}{cmd:)}{p_end} +{synopt:{it:v1}{cmd:#}{it:v2}{cmd:#}{it:v3}{cmd:##c.(}{it:v4 v5}{cmd:)}}factor operators can be combined{p_end} +{synoptline} +{p2colreset}{...} +{p 4 6 2}To save the estimates specific absvars, write {newvar}{inp:={it:absvar}}.{p_end} +{p 4 6 2}Please be aware that in most cases these estimates are neither consistent nor econometrically identified.{p_end} +{p 4 6 2}Using categorical interactions (e.g. {it:x}{cmd:#}{it:z}) is faster than running {it:egen group(...)} beforehand.{p_end} +{p 4 6 2}Singleton obs. are dropped iteratively until no more singletons are found (see ancilliary article for details).{p_end} +{p 4 6 2}Slope-only absvars ("state#c.time") have poor numerical stability and slow convergence. +If you need those, either i) increase tolerance or +ii) use slope-and-intercept absvars ("state##c.time"), even if the intercept is redundant. +For instance if absvar is "i.zipcode i.state##c.time" then i.state is redundant given i.zipcode, but +convergence will still be {it:much} faster.{p_end} + +{marker description}{...} +{title:Description} + +{pstd} +{cmd:reghdfe} is a generalization of {help areg} (and {help xtreg:xtreg,fe}, {help xtivreg:xtivreg,fe}) for multiple levels of fixed effects +(including heterogeneous slopes), alternative estimators (2sls, gmm2s, liml), and additional robust standard errors (multi-way clustering, HAC standard errors, etc).{p_end} + +{pstd}Additional features include:{p_end} + +{p2col 8 12 12 2: a)}A novel and robust algorithm to efficiently absorb the fixed effects (extending the work of Guimaraes and Portugal, 2010).{p_end} +{p2col 8 12 12 2: b)}Coded in Mata, which in most scenarios makes it even faster than {it:areg} and {it:xtreg} for a single fixed effect (see benchmarks on the Github page).{p_end} +{p2col 8 12 12 2: c)}Can save the point estimates of the fixed effects ({it:caveat emptor}: the fixed effects may not be identified, see the {help reghdfe##references:references}).{p_end} +{p2col 8 12 12 2: d)}Calculates the degrees-of-freedom lost due to the fixed effects +(note: beyond two levels of fixed effects, this is still an open problem, but we provide a conservative approximation).{p_end} +{p2col 8 12 12 2: e)}Iteratively removes singleton groups by default, to avoid biasing the standard errors (see ancillary document).{p_end} + +{pstd} +For a description of its internal Mata API, see {help reghdfe_mata}. + +{marker options}{...} +{title:Options} + +{marker opt_model}{...} +{dlgtab:Model and Miscellanea} + +{phang} +{opth a:bsorb(reghdfe##absvar:absvars)} list of categorical variables (or interactions) representing the fixed effects to be absorbed. +this is equivalent to including an indicator/dummy variable for each category of each {it:absvar}. {cmd:absorb()} is required. + +{pmore} +To save a fixed effect, prefix the absvar with "{newvar}{cmd:=}". +For instance, the option {cmd:absorb(firm_id worker_id year_coefs=year_id)} will include firm, +worker and year fixed effects, but will only save the estimates for the year fixed effects (in the new variable {it:year_coefs}). + +{pmore} +If you want to {help reghdfe##postestimation:predict} afterwards but don't care about setting the names of each fixed effect, use the {cmdab:save:fe} suboption. +This will delete all variables named {it:__hdfe*__} and create new ones as required. +Example: {it:reghdfe price weight, absorb(turn trunk, savefe)} + +{phang} +{opth res:iduals(newvar)} will save the regression residuals in a new variable. + +{pmore} {opt res:iduals} (without parenthesis) saves the residuals +in the variable {it:_reghdfe_resid}. + +{pmore} +This option does not require additional computations, and is required for +subsequent calls to {cmd:predict, d}. + +{phang} +{opth su:mmarize(tabstat##statname:stats)} will report and save a table of summary of statistics of the regression +variables (including the instruments, if applicable), using the same sample as the regression. + +{pmore} {opt su:mmarize} (without parenthesis) saves the default set of statistics: {it:mean min max}. + +{pmore} The complete list of accepted statistics is available in the {help tabstat##statname:tabstat help}. The most useful are {it:count range sd median p##}. + +{pmore} The summary table is saved in {it:e(summarize)} + +{pmore} To save the summary table silently (without showing it after the regression table), use the {opt qui:etly} suboption. You can use it by itself ({cmd:summarize(,quietly)}) or with custom statistics ({cmd:summarize(mean, quietly)}). + +{phang} +{opt subopt:ions(...)} +options that will be passed directly to the regression command (either {help regress}, {help ivreg2}, or {help ivregress}) + +{marker opt_vce}{...} +{dlgtab:SE/Robust} + +{phang} +{opth vce:(reghdfe##vcetype:vcetype, subopt)} +specifies the type of standard error reported. +Note that all the advanced estimators rely on asymptotic theory, and will likely have poor performance with small samples +(but again if you are using reghdfe, that is probably not your case) + +{pmore} +{opt un:adjusted}/{opt ols:} estimates conventional standard errors, valid even in small samples +under the assumptions of homoscedasticity and no correlation between observations + +{pmore} +{opt r:obust} estimates heteroscedasticity-consistent standard errors (Huber/White/sandwich estimators), but still assuming independence between observations + +{pmore}Warning: in a FE panel regression, using {opt r:obust} will +lead to inconsistent standard errors if for every fixed effect, the {it:other} dimension is fixed. +For instance, in an standard panel with individual and time fixed effects, we require both the number of +individuals and time periods to grow asymptotically. +If that is not the case, an alternative may be to use clustered errors, +which as discussed below will still have their own asymptotic requirements. +For a discussion, see +{browse "http://www.princeton.edu/~mwatson/papers/ecta6489.pdf":Stock and Watson, "Heteroskedasticity-robust standard errors for fixed-effects panel-data regression," Econometrica 76 (2008): 155-174} + +{pmore} +{opt cl:uster} {it:clustervars} estimates consistent standard errors even when the observations +are correlated within groups. + +{pmore} +Multi-way-clustering is allowed. Thus, you can indicate as many {it:clustervar}s as desired +(e.g. allowing for intragroup correlation across individuals, time, country, etc). + +{pmore} +Each {it:clustervar} permits interactions of the type {it:var1{cmd:#}var2} +(this is faster than using {cmd:egen group()} for a one-off regression). + +{pmore} Warning: The number of clusters, for all of the cluster variables, must go off to infinity. +A frequent rule of thumb is that each cluster variable must have at least 50 different categories +(the number of categories for each clustervar appears on the header of the regression table). + +{pstd} +The following suboptions require either the {help ivreg2} or the {help avar} package from SSC. +For a careful explanation, see the {help ivreg2##s_robust:ivreg2 help file}, from which the comments below borrow. + +{pmore} +{opt u:nadjusted}{cmd:, }{opt bw(#)} (or just {cmd:, }{opt bw(#)}) estimates autocorrelation-consistent standard errors (Newey-West). + +{pmore} +{opt r:obust}{cmd:, }{opt bw(#)} estimates autocorrelation-and-heteroscedasticity consistent standard errors (HAC). + +{pmore} +{opt cl:uster} {it:clustervars}{cmd:, }{opt bw(#)} estimates standard errors consistent to common autocorrelated disturbances (Driscoll-Kraay). At most two cluster variables can be used in this case. + +{pmore} +{cmd:, }{opt kiefer} estimates standard errors consistent under arbitrary intra-group autocorrelation (but not heteroskedasticity) (Kiefer). + +{pmore} +{opt kernel(str)} is allowed in all the cases that allow {opt bw(#)} +The default kernel is {it:bar} (Bartlett). Valid kernels are Bartlett (bar); Truncated (tru); Parzen (par); +Tukey-Hanning (thann); Tukey-Hamming (thamm); Daniell (dan); Tent (ten); and Quadratic-Spectral (qua or qs). + +{pstd} +Advanced suboptions: + +{pmore} +{cmd:, }{opt suite(default|mwc|avar)} overrides the package chosen by reghdfe to estimate the VCE. +{it:default} uses the default Stata computation (allows unadjusted, robust, and at most one cluster variable). +{it:mwc} allows multi-way-clustering (any number of cluster variables), but without the {it:bw} and {it:kernel} suboptions. +{it:avar} uses the avar package from SSC. Is the same package used by ivreg2, and allows the {it:bw}, {it:kernel}, {it:dkraay} and {it:kiefer} suboptions. +This is useful almost exclusively for debugging. + +{pmore} +{cmd:, }{opt twice:robust} will compute robust standard errors not only on the first but on the second step of the gmm2s estimation. Requires {opt ivsuite(ivregress)}, but will not give the exact same results as ivregress. + +{pmore}{it:Explanation:} When running instrumental-variable regressions with the {cmd:ivregress} package, +robust standard errors, and a gmm2s estimator, reghdfe will translate +{opt vce(robust)} into {opt wmatrix(robust)} {opt vce(unadjusted)}. +This maintains compatibility with {cmd:ivreg2} and other packages, but may unadvisable as described in {help ivregress} (technical note). Specifying this option will instead use {opt wmatrix(robust)} {opt vce(robust)}. + +{pmore}However, computing the second-step vce matrix requires computing updated estimates (including updated fixed effects). +Since reghdfe currently does not allow this, the resulting standard errors +{hi:will not be exactly the same as with ivregress}. +This issue is similar to applying the CUE estimator, described further below. + +{pmore}Note: The above comments are also appliable to clustered standard error. + +{marker opt_iv}{...} +{dlgtab:IV/2SLS/GMM} + +{phang} +The IV functionality of {cmd:reghdfe} has been moved into {ivreghdfe}. + +{marker opt_diagnostic}{...} +{dlgtab:Diagnostic} + +{phang} +{opt v:erbose(#)} orders the command to print debugging information. + +{pmore} +Possible values are 0 (none), 1 (some information), 2 (even more), 3 (adds dots for each iteration, and reportes parsing details), 4 (adds details for every iteration step) + +{pmore} +For debugging, the most useful value is 3. For simple status reports, set verbose to 1. + +{phang} +{opt time:it} shows the elapsed time at different steps of the estimation. Most time is usually spent on three steps: map_precompute(), map_solve() and the regression step. + +{marker opt_dof}{...} +{dlgtab:Degrees-of-Freedom Adjustments} + +{phang} +{opt dof:adjustments(doflist)} selects how the degrees-of-freedom, as well as e(df_a), are adjusted due to the absorbed fixed effects. + +{pmore} +Without any adjustment, we would assume that the degrees-of-freedom used by the fixed effects is equal to the count of all the fixed effects +(e.g. number of individuals + number of years in a typical panel). +However, in complex setups (e.g. fixed effects by individual, firm, job position, and year), +there may be a huge number of fixed effects collinear with each other, so we want to adjust for that. + +{pmore} +Note: changing the default option is rarely needed, except in benchmarks, and to obtain a marginal speed-up by excluding the {opt pair:wise} option. + +{pmore} +{opt all} is the default and almost always the best alternative. It is equivalent to {opt dof(pairwise clusters continuous)} + +{pmore} +{opt none} assumes no collinearity across the fixed effects (i.e. no redundant fixed effects). This is overtly conservative, although it is the faster method by virtue of not doing anything. + +{pmore} +{opt first:pair} will exactly identify the number of collinear fixed effects across the first two sets of fixed effects +(i.e. the first absvar and the second absvar). +The algorithm used for this is described in Abowd et al (1999), and relies on results from graph theory +(finding the number of connected sub-graphs in a bipartite graph). +It will not do anything for the third and subsequent sets of fixed effects. + +{pmore} +For more than two sets of fixed effects, there are no known results that provide exact degrees-of-freedom as in the case above. +One solution is to ignore subsequent fixed effects (and thus oversestimate e(df_a) and understimate the degrees-of-freedom). +Another solution, described below, applies the algorithm between pairs of fixed effects to obtain a better (but not exact) estimate: + +{pmore} +{opt pair:wise} applies the aforementioned connected-subgraphs algorithm between pairs of fixed effects. +For instance, if there are four sets of FEs, the first dimension will usually have no redundant coefficients (i.e. e(M1)==1), since we are running the model without a constant. +For the second FE, the number of connected subgraphs with respect to the first FE will provide an exact estimate of the degrees-of-freedom lost, e(M2). + +{pmore} +For the third FE, we do not know exactly. +However, we can compute the number of connected subgraphs between the first and third {it:G(1,3)}, +and second and third {it:G(2,3)} fixed effects, and choose the higher of those as the closest estimate for e(M3). +For the fourth FE, we compute {it:G(1,4)}, {it:G(2,4)} and {it:G(3,4)} and again choose the highest for e(M4). + +{pmore} +Finally, we compute e(df_a) = e(K1) - e(M1) + e(K2) - e(M2) + e(K3) - e(M3) + e(K4) - e(M4); +where e(K#) is the number of levels or dimensions for the #-th fixed effect (e.g. number of individuals or years). +Note that e(M3) and e(M4) are only conservative estimates and thus we will usually be overestimating the standard errors. However, given the sizes of the datasets typically used with reghdfe, the difference should be small. + +{pmore} +Since the gain from {opt pair:wise} is usually {it:minuscule} for large datasets, and the computation is expensive, it may be a good practice to exclude this option for speedups. + +{pmore} +{opt cl:usters} +will check if a fixed effect is nested within a {it:clustervar}. +In that case, it will set e(K#)==e(M#) and no degrees-of-freedom will be lost due to this fixed effect. +The rationale is that we are already assuming that the number of effective observations is the number of cluster levels. +This is the same adjustment that {cmd:xtreg, fe} does, but {cmd:areg} does not use it. + +{pmore} +{opt cont:inuous} +Fixed effects with continuous interactions (i.e. individual slopes, instead of individual intercepts) are dealt with differently. +In an i.categorical#c.continuous interaction, we will do one check: we count the number of categories where c.continuous is always zero. +In an i.categorical##c.continuous interaction, we do the above check but replace zero for any particular constant. +In the case where continuous is constant for a level of categorical, we know it is collinear with the intercept, so we adjust for it. + +{pmore} +Additional methods, such as {opt bootstrap} are also possible but not yet implemented. +Some preliminary simulations done by the author showed a very poor convergence of this method. + +{phang} +{opth groupv:ar(newvar)} name of the new variable that will contain the first mobility group. +Requires {opt pair:wise}, {opt first:pair}, or the default {opt all}. + +{marker opt_speedup}{...} +{dlgtab:Speeding Up Estimation} + +{phang} +{opt nosample} avoids saving {it:e(sample)} into the regression. +Since saving the variable only involves copying a Mata vector, the speedup is currently quite small. +Future versions of reghdfe may change this as features are added. + +{pmore} +Note that {opt nosample} will be disabled when adding variables to the dataset (i.e. when saving residuals, fixed effects, or mobility groups), and is incompatible with most postestimation commands. + +{pmore} +If you wish to use {opt nosample} while reporting {cmd:estat summarize}, see the {opt summarize} option. + +{marker opt_optimization}{...} +{dlgtab:Optimization} + +{phang} +{opth tol:erance(#)} specifies the tolerance criterion for convergence; default is {cmd:tolerance(1e-8)} + +{pmore} +Note that for tolerances beyond 1e-14, the limits of the {it:double} precision are reached and the results will most likely not converge. + +{pmore} +At the other end, is not tight enough, the regression may not identify perfectly collinear regressors. However, those cases can be easily spotted due to their extremely high standard errors. + +{pmore} +Warning: when absorbing heterogeneous slopes without the accompanying heterogeneous intercepts, convergence is quite poor and a tight tolerance is strongly suggested (i.e. higher than the default). In other words, an absvar of {it:var1##c.var2} converges easily, but an absvar of {it:var1#c.var2} will converge slowly and may require a tighter tolerance. + +{phang} +{opth maxit:erations(#)} +specifies the maximum number of iterations; the default is {cmd:maxiterations(10000)}; set it to missing ({cmd:.}) to run forever until convergence. + +{phang} +{opth pool:size(#)} +Number of variables that are {it:pooled together} into a matrix that will then be transformed. +The default is to pool variables in groups of 5. Larger groups are faster with more than one processor, but may cause out-of-memory errors. In that case, set poolsize to 1. + +{phang} +{it:Advanced options:} + +{phang} +{opt acceleration(str)} allows for different acceleration techniques, from the simplest case of +no acceleration ({opt no:ne}), to steep descent ({opt st:eep_descent} or {opt sd}), Aitken ({opt a:itken}), +and finally Conjugate Gradient ({opt co:njugate_gradient} or {opt cg}). + +{pmore} +Note: Each acceleration is just a plug-in Mata function, so a larger number of acceleration techniques are available, albeit undocumented (and slower). + +{phang} +{opt transf:orm(str)} allows for different "alternating projection" transforms. The classical transform is Kaczmarz ({opt kac:zmarz}), and more stable alternatives are Cimmino ({opt cim:mino}) and Symmetric Kaczmarz ({opt sym:metric_kaczmarz}) + +{pmore} +Note: Each transform is just a plug-in Mata function, so a larger number of acceleration techniques are available, albeit undocumented (and slower). + +{pmore} +Note: The default acceleration is Conjugate Gradient and the default transform is Symmetric Kaczmarz. Be wary that different accelerations often work better with certain transforms. For instance, do not use conjugate gradient with plain Kaczmarz, as it will not converge. + +{phang} +{opt precondition} {it:(currently disabled)} + +{marker opt_reporting}{...} +{dlgtab:Reporting} + +{phang} +{opt l:evel(#)} sets confidence level; default is {cmd:level(95)} + +{marker display_options}{...} +{phang} +{it:display_options}: +{opt noomit:ted}, +{opt vsquish}, +{opt noempty:cells}, +{opt base:levels}, +{opt allbase:levels}, +{opt nofvlabel}, +{opt fvwrap(#)}, +{opt fvwrapon(style)}, +{opth cformat(%fmt)}, +{opt pformat(%fmt)}, +{opt sformat(%fmt)}, and +{opt nolstretch}; + see {helpb estimation options##display_options:[R] estimation options}. + {p_end} + + +{marker postestimation}{...} +{title:Postestimation Syntax} + +Only {cmd:estat summarize}, {cmd:predict} and {cmd:test} are currently supported and tested. + +{p 8 13 2} +{cmd:estat summarize} +{p_end}{col 23}Summarizes {it:depvar} and the variables described in {it:_b} (i.e. not the excluded instruments) + +{p 8 16 2} +{cmd:predict} +{newvar} +{ifin} +[{cmd:,} {it:statistic}] +{p_end}{col 23}May require you to previously save the fixed effects (except for option {opt xb}). +{col 23}To see how, see the details of the {help reghdfe##absvar:absorb} option +{col 23}Equation: y = xb + d_absorbvars + e + +{synoptset 20 tabbed}{...} +{synopthdr:statistic} +{synoptline} +{syntab :Main} +{p2coldent: {opt xb}}xb fitted values; the default{p_end} +{p2coldent: {opt xbd}}xb + d_absorbvars{p_end} +{p2coldent: {opt d}}d_absorbvars{p_end} +{p2coldent: {opt r:esiduals}}residual{p_end} +{p2coldent: {opt sc:ore}}score; equivalent to {opt residuals}{p_end} +{p2coldent: {opt stdp}}standard error of the prediction (of the xb component){p_end} +{synoptline} +{p2colreset}{...} +{p 4 6 2}although {cmd:predict} {help data_types:type} {help newvar} is allowed, +the resulting variable will always be of type {it:double}.{p_end} + + +{col 8}{cmd:test}{col 23}Performs significance test on the parameters, see the {help test:stata help} + +{col 8}{cmd:suest}{col 23}Do not use {cmd:suest}. It will run, but the results will be incorrect. See workaround below + +{pmore}If you want to perform tests that are usually run with {cmd:suest}, +such as non-nested models, tests using alternative specifications of the variables, +or tests on different groups, you can replicate it manually, as described +{browse "http://www.stata.com/statalist/archive/2009-11/msg01485.html":here}. +{p_end} + +{marker remarks}{...} + +{title:Possible Pitfalls and Common Mistakes} + +{p2col 8 12 12 2: 1.}Ignore the constant; it doesn't tell you much. If you want to use descriptive stats, that's what the {opt sum:marize()} and {cmd:estat summ} commands are for. +Even better, use {opt noconstant} to hide it{p_end} +{p2col 8 12 12 2: 2.}Think twice before saving the fixed effects. They are probably inconsistent / not identified and you will likely be using them wrong.{p_end} +{p2col 8 12 12 2: 3.}(note: as of version 3.0 singletons are dropped by default) It's good practice to drop singletons. {opt dropsi:ngleton} is your friend.{p_end} +{p2col 8 12 12 2: 4.}If you use {opt vce(robust)}, be sure that your {it:other} dimension is not "fixed" but grows with N, or your SEs will be wrong.{p_end} +{p2col 8 12 12 2: 5.}If you use {opt vce(cluster ...)}, check that your number of clusters is high enough (50+ is a rule of thumb). If not, you are making the SEs even worse!{p_end} +{p2col 8 12 12 2: 6.}The panel variables (absvars) should probably be nested within the clusters (clustervars) due to the within-panel correlation induced by the FEs. +(this is not the case for *all* the absvars, only those that are treated as growing as N grows){p_end} +{p2col 8 12 12 2: 7.}If you run analytic or probability weights, +you are responsible for ensuring that the weights stay +constant within each unit of a fixed effect (e.g. individual), +or that it is correct to allow varying-weights for that case. +{p_end} +{p2col 8 12 12 2: 8.}Be aware that adding several HDFEs is not a panacea. +The first limitation is that it only uses within variation (more than acceptable if you have a large enough dataset). +The second and subtler limitation occurs if the fixed effects are themselves outcomes of the variable of interest (as crazy as it sounds). +For instance, imagine a regression where we study the effect of past corporate fraud on future firm performance. +We add firm, CEO and time fixed-effects (standard practice). This introduces a serious flaw: whenever a fraud event is discovered, +i) future firm performance will suffer, and ii) a CEO turnover will likely occur. +Moreover, after fraud events, the new CEOs are usually specialized in dealing with the aftershocks of such events +(and are usually accountants or lawyers). +The fixed effects of these CEOs will also tend to be quite low, as they tend to manage firms with very risky outcomes. +Therefore, the regressor (fraud) affects the fixed effect (identity of the incoming CEO). +Adding particularly low CEO fixed effects will then overstate the performance of the firm, +and thus {it:understate} the negative effects of fraud on future firm performance.{p_end} + +{title:Missing Features} + +{phang}(If you are interested in discussing these or others, feel free to {help reghdfe##contact:contact me}) + +{phang}Code, medium term: + +{p2col 8 12 12 2: -}Complete GT preconditioning (v4){p_end} +{p2col 8 12 12 2: -}Improve algorithm that recovers the fixed effects (v5){p_end} +{p2col 8 12 12 2: -}Improve statistics and tests related to the fixed effects (v5){p_end} +{p2col 8 12 12 2: -}Implement a -bootstrap- option in DoF estimation (v5){p_end} + +{phang}Code, long term: + +{p2col 8 12 12 2: -}The interaction with cont vars (i.a#c.b) may suffer from numerical accuracy issues, as we are dividing by a sum of squares{p_end} +{p2col 8 12 12 2: -}Calculate exact DoF adjustment for 3+ HDFEs (note: not a problem with cluster VCE when one FE is nested within the cluster){p_end} +{p2col 8 12 12 2: -}More postestimation commands (lincom? margins?){p_end} + +{phang}Theory: + +{p2col 8 12 12 2: -}Add a more thorough discussion on the possible identification issues{p_end} +{p2col 8 12 12 2: -}Find out a way to use reghdfe iteratively with CUE +(right now only OLS/2SLS/GMM2S/LIML give the exact same results){p_end} +{p2col 8 12 12 2: -}Not sure if I should add an F-test for the absvars in the vce(robust) and vce(cluster) cases. +Discussion on e.g. -areg- (methods and formulas) and textbooks suggests not; +on the other hand, there may be alternatives: +{it:{browse "http://www.socialsciences.manchester.ac.uk/disciplines/economics/research/discussionpapers/pdf/EDP-1124.pdf" :A Heteroskedasticity-Robust F-Test Statistic for Individual Effects}}{p_end} + +{marker examples}{...} +{title:Examples} + +{hline} +{pstd}Setup{p_end} +{phang2}{cmd:. sysuse auto}{p_end} + +{pstd}Simple case - one fixed effect{p_end} +{phang2}{cmd:. reghdfe price weight length, absorb(rep78)}{p_end} +{hline} + +{pstd}As above, but also compute clustered standard errors{p_end} +{phang2}{cmd:. reghdfe price weight length, absorb(rep78) vce(cluster rep78)}{p_end} +{hline} + +{pstd}Two and three sets of fixed effects{p_end} +{phang2}{cmd:. webuse nlswork}{p_end} +{phang2}{cmd:. reghdfe ln_w grade age ttl_exp tenure not_smsa south , absorb(idcode year)}{p_end} +{phang2}{cmd:. reghdfe ln_w grade age ttl_exp tenure not_smsa south , absorb(idcode year occ)}{p_end} +{hline} + +{title:Advanced examples} + +{pstd}Save the FEs as variables{p_end} +{phang2}{cmd:. reghdfe ln_w grade age ttl_exp tenure not_smsa south , absorb(FE1=idcode FE2=year)}{p_end} + +{pstd}Save first mobility group{p_end} +{phang2}{cmd:. reghdfe ln_w grade age ttl_exp tenure not_smsa , absorb(idcode occ) groupv(mobility_occ)}{p_end} + +{pstd}Factor interactions in the independent variables{p_end} +{phang2}{cmd:. reghdfe ln_w i.grade#i.age ttl_exp tenure not_smsa , absorb(idcode occ)}{p_end} + +{pstd}Interactions in the absorbed variables (notice that only the {it:#} symbol is allowed){p_end} +{phang2}{cmd:. reghdfe ln_w grade age ttl_exp tenure not_smsa , absorb(idcode#occ)}{p_end} + +{pstd}Factorial interactions{p_end} +{phang2}{cmd:. reghdfe price weight length, absorb(rep78 turn##c.price)}{p_end} + +{pstd}IV regression (this does NOT work anymore, please use the ivreghdfe package instead{p_end} +{phang2}{cmd:. sysuse auto}{p_end} +{phang2}{cmd:. ivreghdfe price weight (length=head), absorb(rep78)}{p_end} +{phang2}{cmd:. ivreghdfe price weight (length=head), absorb(rep78, resid)}{p_end} + + +{marker results}{...} +{title:Stored results} + +{pstd} +{cmd:reghdfe} stores the following in {cmd:e()}: + +{pstd} +{it:Note: it also keeps most e() results placed by the regression subcommands (ivreg2, ivregress)} + +{synoptset 24 tabbed}{...} +{syntab:Scalars} +{synopt:{cmd:e(N)}}number of observations{p_end} +{synopt:{cmd:e(num_singletons)}}number of singleton observations{p_end} +{synopt:{cmd:e(N_full)}}number of observations including singletons{p_end} + +{synopt:{cmd:e(N_hdfe)}}number of absorbed fixed-effects{p_end} +{synopt:{cmd:e(tss)}}total sum of squares{p_end} +{synopt:{cmd:e(rss)}}residual sum of squares{p_end} +{synopt:{cmd:e(r2)}}R-squared{p_end} +{synopt:{cmd:e(r2_a)}}adjusted R-squared{p_end} +{synopt:{cmd:e(r2_within)}}Within R-squared{p_end} +{synopt:{cmd:e(r2_a_within)}}Adjusted Within R-squared{p_end} +{synopt:{cmd:e(df_a)}}degrees of freedom lost due to the fixed effects{p_end} +{synopt:{cmd:e(rmse)}}root mean squared error{p_end} +{synopt:{cmd:e(ll)}}log-likelihood{p_end} +{synopt:{cmd:e(ll_0)}}log-likelihood of fixed-effect-only regression{p_end} +{synopt:{cmd:e(F)}}F statistic{p_end} +{synopt:{cmd:e(F_absorb)}}F statistic for absorbed effect {it:note: currently disabled}{p_end} +{synopt:{cmd:e(rank)}}rank of {cmd:e(V)}{p_end} +{synopt:{cmd:e(N_clustervars)}}number of cluster variables{p_end} + +{synopt:{cmd:e(clust}#{cmd:)}}number of clusters for the #th cluster variable{p_end} +{synopt:{cmd:e(N_clust)}}number of clusters; minimum of {it:e(clust#)}{p_end} + +{synopt:{cmd:e(K}#{cmd:)}}Number of categories of the #th absorbed FE{p_end} +{synopt:{cmd:e(M}#{cmd:)}}Number of redundant categories of the #th absorbed FE{p_end} +{synopt:{cmd:e(mobility)}}Sum of all {cmd:e(M#)}{p_end} +{synopt:{cmd:e(df_m)}}model degrees of freedom{p_end} +{synopt:{cmd:e(df_r)}}residual degrees of freedom{p_end} + +{synopt:{cmd:e(report_constant)}}whether _cons was included in the regressions (default) +or as part of the fixed effects{p_end} + +{synoptset 24 tabbed}{...} +{syntab:Macros} +{synopt:{cmd:e(cmd)}}{cmd:reghdfe}{p_end} +{synopt:{cmd:e(subcmd)}}either {cmd:regress}, {cmd:ivreg2} or {cmd:ivregress}{p_end} +{synopt:{cmd:e(model)}}{cmd:ols}, {cmd:iv}, {cmd:gmm2s}, {cmd:liml} or {cmd:cue}{p_end} +{synopt:{cmd:e(cmdline)}}command as typed{p_end} +{synopt:{cmd:e(dofmethod)}}dofmethod employed in the regression{p_end} +{synopt:{cmd:e(depvar)}}name of dependent variable{p_end} +{synopt:{cmd:e(indepvars)}}names of independent variables{p_end} +{synopt:{cmd:e(absvars)}}name of the absorbed variables or interactions{p_end} +{synopt:{cmd:e(title)}}title in estimation output{p_end} +{synopt:{cmd:e(clustvar)}}name of cluster variable{p_end} +{synopt:{cmd:e(clustvar}#{cmd:)}}name of the #th cluster variable{p_end} +{synopt:{cmd:e(vce)}}{it:vcetype} specified in {cmd:vce()}{p_end} +{synopt:{cmd:e(vcetype)}}title used to label Std. Err.{p_end} +{synopt:{cmd:e(stage)}}stage within an IV-regression; only if {it:stages()} was used{p_end} +{synopt:{cmd:e(properties)}}{cmd:b V}{p_end} + +{synoptset 24 tabbed}{...} +{syntab:Matrices} +{synopt:{cmd:e(b)}}coefficient vector{p_end} +{synopt:{cmd:e(V)}}variance-covariance matrix of the estimators{p_end} + +{synoptset 24 tabbed}{...} +{syntab:Functions} +{synopt:{cmd:e(sample)}}marks estimation sample{p_end} +{p2colreset}{...} + +{marker contact}{...} +{title:Author} + +{pstd}Sergio Correia{break} +Board of Governors of the Federal Reserve{break} +Email: {browse "mailto:sergio.correia@gmail.com":sergio.correia@gmail.com} +{p_end} + +{marker user_guide}{...} +{title:User Guide} + +{pstd} +A copy of this help file, as well as a more in-depth user guide is in development and will be available at {browse "http://scorreia.com/reghdfe"}.{p_end} + +{marker updates}{...} +{title:Latest Updates} + +{pstd} +{cmd:reghdfe} is updated frequently, and upgrades or minor bug fixes may not be immediately available in SSC. +To check or contribute to the latest version of reghdfe, explore the +{browse "https://github.com/sergiocorreia/reghdfe":Github repository}. +Bugs or missing features can be discussed through email or at the {browse "https://github.com/sergiocorreia/reghdfe/issues":Github issue tracker}.{p_end} + +{pstd} +To see your current version and installed dependencies, type {cmd:reghdfe, version} +{p_end} + +{marker acknowledgements}{...} +{title:Acknowledgements} + +{pstd} +This package wouldn't have existed without the invaluable feedback and contributions of Paulo Guimaraes, Amine Ouazad, Mark Schaffer and Kit Baum. Also invaluable are the great bug-spotting abilities of many users.{p_end} + +{pstd}In addition, {it:reghdfe} is build upon important contributions from the Stata community:{p_end} + +{phang}{browse "https://ideas.repec.org/c/boc/bocode/s457101.html":reg2hdfe}, from Paulo Guimaraes, +and {browse "https://ideas.repec.org/c/boc/bocode/s456942.html":a2reg} from Amine Ouazad, + were the inspiration and building blocks on which reghdfe was built.{p_end} + +{phang}{browse "http://www.repec.org/bocode/i/ivreg2.html":ivreg2}, by Christopher F Baum, Mark E Schaffer and Steven Stillman, is the package used by default for instrumental-variable regression.{p_end} + +{phang}{browse "https://ideas.repec.org/c/boc/bocode/s457689.html":avar} by Christopher F Baum and Mark E Schaffer, is the package used for estimating the HAC-robust standard errors of ols regressions.{p_end} + +{phang}{browse "http://econpapers.repec.org/software/bocbocode/s456797.htm":tuples} by Joseph Lunchman and Nicholas Cox, is used when computing standard errors with multi-way clustering (two or more clustering variables).{p_end} + +{marker references}{...} +{title:References} + +{p 0 0 2} +The algorithm underlying reghdfe is a generalization of the works by: + +{phang} +Paulo Guimaraes and Pedro Portugal. "A Simple Feasible Alternative Procedure to Estimate +Models with High-Dimensional Fixed Effects". +{it:Stata Journal, 10(4), 628-649, 2010.} +{browse "http://www.stata-journal.com/article.html?article=st0212":[link]} +{p_end} + +{phang} +Simen Gaure. "OLS with Multiple High Dimensional Category Dummies". +{it:Memorandum 14/2010, Oslo University, Department of Economics, 2010.} +{browse "https://ideas.repec.org/p/hhs/osloec/2010_014.html":[link]} +{p_end} + +{p 0 0 2} +It addresses many of the limitation of previous works, such as possible lack of convergence, arbitrary slow convergence times, +and being limited to only two or three sets of fixed effects (for the first paper). +The paper explaining the specifics of the algorithm is a work-in-progress and available upon request. + +{p 0 0 0} +If you use this program in your research, please cite either +the {browse "https://ideas.repec.org/c/boc/bocode/s457874.html":REPEC entry} +or the aforementioned papers.{p_end} + +{title:Additional References} + +{p 0 0 0} +For details on the Aitken acceleration technique employed, please see "method 3" as described by: + +{phang} +Macleod, Allan J. "Acceleration of vector sequences by multi-dimensional Delta-2 methods." +{it:Communications in Applied Numerical Methods 2.4 (1986): 385-392.} +{p_end} + +{p 0 0 0} +For the rationale behind interacting fixed effects with continuous variables, see: + +{phang} +Duflo, Esther. "The medium run effects of educational expansion: Evidence from a large school construction program in Indonesia." +{it:Journal of Development Economics 74.1 (2004): 163-197.}{browse "http://www.sciencedirect.com/science/article/pii/S0304387803001846": [link]} +{p_end} + +{p 0 0 0} +Also see: + +{phang}Abowd, J. M., R. H. Creecy, and F. Kramarz 2002. +Computing person and firm effects using linked longitudinal employer-employee data. +{it:Census Bureau Technical Paper TP-2002-06.} +{p_end} + +{phang} +Cameron, A. Colin & Gelbach, Jonah B. & Miller, Douglas L., 2011. +"Robust Inference With Multiway Clustering," +{it:Journal of Business & Economic Statistics, American Statistical Association, vol. 29(2), pages 238-249.} +{p_end} + +{phang} +Gormley, T. & Matsa, D. 2014. +"Common errors: How to (and not to) control for unobserved heterogeneity." +{it:The Review of Financial Studies, vol. 27(2), pages 617-661.} +{p_end} + +{phang} +Mittag, N. 2012. +"New methods to estimate models with large sets of fixed effects with an application to matched employer-employee data from Germany." +{it:{browse "http://doku.iab.de/fdz/reporte/2012/MR_01-12_EN.pdf":FDZ-Methodenreport 02/2012}.} +{p_end} diff --git a/30/replication_package/Adofiles/reghdfe_2019/reghdfe_accelerations.mata b/30/replication_package/Adofiles/reghdfe_2019/reghdfe_accelerations.mata new file mode 100644 index 0000000000000000000000000000000000000000..7b8e69ccb1b474e904751238cb21e4ab1fa0de46 --- /dev/null +++ b/30/replication_package/Adofiles/reghdfe_2019/reghdfe_accelerations.mata @@ -0,0 +1,323 @@ +mata: + +// -------------------------------------------------------------------------- +// Acceleration Schemes +// -------------------------------------------------------------------------- + +`Variables' function accelerate_test(`FixedEffects' S, `Variables' y, `FunctionP' T) { + `Integer' iter, g + `Variables' resid + `Factor' f + pragma unset resid + + assert(S.converged == 0) + + for (iter=1; iter<=S.maxiter; iter++) { + for (g=1; g<=S.G; g++) { + f = S.factors[g] + if (g==1) resid = y - panelmean(f.sort(y), f)[f.levels, .] + else resid = resid - panelmean(f.sort(resid), f)[f.levels, .] + } + if (check_convergence(S, iter, resid, y)) break + y = resid + } + return(resid) +} + +// -------------------------------------------------------------------------- + +`Variables' function accelerate_none(`FixedEffects' S, `Variables' y, `FunctionP' T) { + `Integer' iter + `Variables' resid + pragma unset resid + + assert(S.converged == 0) + + for (iter=1; iter<=S.maxiter; iter++) { + (*T)(S, y, resid) // Faster version of "resid = S.T(y)" + if (check_convergence(S, iter, resid, y)) break + y = resid + } + return(resid) +} +// -------------------------------------------------------------------------- + +// Start w/out acceleration, then switch to CG +`Variables' function accelerate_hybrid(`FixedEffects' S, `Variables' y, `FunctionP' T) { + `Integer' iter, accel_start + `Variables' resid + pragma unset resid + + accel_start = 6 + assert(S.converged == 0) + + for (iter=1; iter<=accel_start; iter++) { + (*T)(S, y, resid) // Faster version of "resid = S.T(y)" + if (check_convergence(S, iter, resid, y)) break + y = resid + } + + T = &transform_sym_kaczmarz() // Override + + return(accelerate_cg(S, y, T)) +} + +// -------------------------------------------------------------------------- +// Memory cost is approx = 4*size(y) (actually 3 since y is already there) +// But we need to add maybe 1 more due to u:*v +// And I also need to check how much does project and T use.. +// Double check with a call to memory + +// For discussion on the stopping criteria, see the following presentation: +// Arioli & Gratton, "Least-squares problems, normal equations, and stopping criteria for the conjugate gradient method". URL: https://www.stfc.ac.uk/SCD/resources/talks/Arioli-NAday2008.pdf + +// Basically, we will use the Hestenes and Stiefel rule + +`Variables' function accelerate_cg(`FixedEffects' S, `Variables' y, `FunctionP' T) { + // BUGBUG iterate the first 6? without acceleration?? + `Integer' iter, d, Q + `Variables' r, u, v + `RowVector' alpha, beta, ssr, ssr_old, improvement_potential + `Matrix' recent_ssr + pragma unset r + pragma unset v + + assert(S.converged == 0) + if (S.timeit) timer_on(70) + Q = cols(y) + + d = 1 // BUGBUG Set it to 2/3 // Number of recent SSR values to use for convergence criteria (lower=faster & riskier) + // A discussion on the stopping criteria used is described in + // http://scicomp.stackexchange.com/questions/582/stopping-criteria-for-iterative-linear-solvers-applied-to-nearly-singular-system/585#585 + + if (S.timeit) timer_on(73) + improvement_potential = weighted_quadcolsum(S, y, y) + recent_ssr = J(d, Q, .) + if (S.timeit) timer_off(73) + + if (S.timeit) timer_on(71) + (*T)(S, y, r, 1) + if (S.timeit) timer_off(71) + if (S.timeit) timer_on(73) + ssr = weighted_quadcolsum(S, r, r) // cross(r,r) when cols(y)==1 // BUGBUG maybe diag(quadcross()) is faster? + u = r + if (S.timeit) timer_off(73) + + for (iter=1; iter<=S.maxiter; iter++) { + if (S.timeit) timer_on(71) + (*T)(S, u, v, 1) // This is the hottest loop in the entire program + if (S.timeit) timer_off(71) + if (S.timeit) timer_on(73) + alpha = safe_divide( ssr , weighted_quadcolsum(S, u, v) ) + if (S.timeit) timer_off(73) + if (S.timeit) timer_on(74) + recent_ssr[1 + mod(iter-1, d), .] = alpha :* ssr + improvement_potential = improvement_potential - alpha :* ssr + y = y - alpha :* u + if (S.timeit) timer_off(74) + if (S.timeit) timer_on(75) + if (S.compute_rre & !S.prune) reghdfe_rre_benchmark(y[., 1], S.rre_true_residual, S.rre_depvar_norm) + r = r - alpha :* v + ssr_old = ssr + if (S.timeit) timer_off(75) + if (S.timeit) timer_on(73) + if (S.verbose>=5) r + ssr = weighted_quadcolsum(S, r, r) + beta = safe_divide( ssr , ssr_old) // Fletcher-Reeves formula, but it shouldn't matter in our problem + if (S.timeit) timer_off(73) + u = r + beta :* u + // Convergence if sum(recent_ssr) > tol^2 * improvement_potential + if (S.timeit) timer_on(76) + if ( check_convergence(S, iter, colsum(recent_ssr), improvement_potential, "hestenes") ) { + break + if (S.timeit) timer_off(76) + } + if (S.timeit) timer_off(76) + } + if (S.timeit) timer_off(70) + return(y) +} + +// -------------------------------------------------------------------------- + +`Variables' function accelerate_sd(`FixedEffects' S, `Variables' y, `FunctionP' T) { + `Integer' iter, g + `Variables' proj + `RowVector' t + pragma unset proj + + assert(S.converged == 0) + + for (iter=1; iter<=S.maxiter; iter++) { + (*T)(S, y, proj, 1) + if (check_convergence(S, iter, y-proj, y)) break + t = safe_divide( weighted_quadcolsum(S, y, proj) , weighted_quadcolsum(S, proj, proj) ) + if (uniform(1,1)<0.1) t = 1 // BUGBUG: Does this REALLY help to randomly unstuck an iteration? + + y = y - t :* proj + if (S.compute_rre & !S.prune) reghdfe_rre_benchmark(y[., 1], S.rre_true_residual, S.rre_depvar_norm) + + if (S.storing_alphas) { + for (g=1; g<=S.G; g++) { + //g, ., ., t + //asarray(S.factors[g].extra, "alphas"), asarray(S.factors[g].extra, "tmp_alphas") + if (S.save_fe[g]) { + asarray(S.factors[g].extra, "alphas", + asarray(S.factors[g].extra, "alphas") + + t :* asarray(S.factors[g].extra, "tmp_alphas") + ) + } + } + } + } + return(y-proj) +} + +// -------------------------------------------------------------------------- +// This is method 3 of Macleod (1986), a vector generalization of the Aitken-Steffensen method +// Also: "when numerically computing the sequence.. stop.. when rounding errors become too +// important in the denominator, where the ^2 operation may cancel too many significant digits" +// Note: Sometimes the iteration gets "stuck"; can we unstuck it with adding randomness +// in the accelerate decision? There should be a better way.. (maybe symmetric kacz instead of standard one?) + +`Variables' function accelerate_aitken(`FixedEffects' S, `Variables' y, `FunctionP' T) { + `Integer' iter + `Variables' resid, y_old, delta_sq + `Boolean' accelerate + `RowVector' t + pragma unset resid + + assert(S.converged == 0) + y_old = J(rows(y), cols(y), .) + + for (iter=1; iter<=S.maxiter; iter++) { + + (*T)(S, y, resid) + accelerate = iter>=S.accel_start & !mod(iter,S.accel_freq) + + // Accelerate + if (accelerate) { + delta_sq = resid - 2 * y + y_old // = (resid - y) - (y - y_old) // Equivalent to D2.resid + // t is just (d'd2) / (d2'd2) + t = safe_divide( weighted_quadcolsum(S, (resid - y) , delta_sq) , weighted_quadcolsum(S, delta_sq , delta_sq) ) + resid = resid - t :* (resid - y) + } + + + // Only check converge on non-accelerated iterations + // BUGBUG: Do we need to disable the check when accelerating? + // if (check_convergence(S, iter, accelerate? resid :* . : resid, y)) break + if (S.compute_rre & !S.prune) reghdfe_rre_benchmark(resid[., 1], S.rre_true_residual, S.rre_depvar_norm) + if (check_convergence(S, iter, resid, y)) break + y_old = y // y_old is resid[iter-2] + y = resid // y is resid[iter-1] + } + return(resid) +} + +// -------------------------------------------------------------------------- + +`Boolean' check_convergence(`FixedEffects' S, `Integer' iter, `Variables' y_new, `Variables' y_old,| `String' method) { + `Boolean' is_last_iter + `Real' update_error + `Real' eps_threshold + + // max() ensures that the result when bunching vars is at least as good as when not bunching + if (args()<5) method = "vectors" + + if (S.G==1 & !S.storing_alphas) { + // Shortcut for trivial case (1 FE) + update_error = 0 + } + else if (method=="vectors") { + update_error = max(mean(reldif(y_new, y_old), S.weight)) + } + else if (method=="hestenes") { + // If the regressor is perfectly explained by the absvars, we can have SSR very close to zero but negative + // (so sqrt is missing) + + eps_threshold = 1e-15 // 10 * epsilon(1) ; perhaps too aggressive and should be 1e-14 ? + if (S.verbose > 0 & all(y_new :< eps_threshold)) { + printf("{txt} note: eps. is very close to zero (%g), so hestenes assumed convergence to avoid numerical precision errors\n", min(y_new)) + } + update_error = safe_divide(edittozerotol(y_new, eps_threshold ), + editmissing(y_old, epsilon(1)), + epsilon(1) ) + update_error = sqrt(max(update_error)) + } + else { + exit(error(100)) + } + + assert_msg(!missing(update_error), "update error is missing") + + S.converged = S.converged + (update_error <= S.tolerance) + is_last_iter = iter==S.maxiter + + if (S.converged >= S.min_ok) { + S.iteration_count = max((iter, S.iteration_count)) + S.accuracy = max((S.accuracy, update_error)) + if (S.verbose==1) printf("{txt} converged in %g iterations (last error =%3.1e)\n", iter, update_error) + if (S.verbose>1) printf("\n{txt} - Converged in %g iterations (last error =%3.1e)\n", iter, update_error) + } + else if (is_last_iter & S.abort) { + printf("\n{err}convergence not achieved in %g iterations (last error=%e); try increasing maxiter() or decreasing tol().\n", S.maxiter, update_error) + exit(430) + } + else { + if ((S.verbose>=2 & S.verbose<=3 & mod(iter,1)==0) | (S.verbose==1 & mod(iter,1)==0)) { + printf("{res}.{txt}") + displayflush() + } + if ( (S.verbose>=2 & S.verbose<=3 & mod(iter,100)==0) | (S.verbose==1 & mod(iter,100)==0) ) { + printf("{txt}%9.1f\n ", update_error/S.tolerance) + } + + if (S.verbose==4 & method!="hestenes") printf("{txt} iter={res}%4.0f{txt}\tupdate_error={res}%-9.6e\n", iter, update_error) + if (S.verbose==4 & method=="hestenes") printf("{txt} iter={res}%4.0f{txt}\tupdate_error={res}%-9.6e {txt}norm(ssr)={res}%g\n", iter, update_error, norm(y_new)) + + if (S.verbose>=5) { + printf("\n{txt} iter={res}%4.0f{txt}\tupdate_error={res}%-9.6e{txt}\tmethod={res}%s\n", iter, update_error, method) + "old:" + y_old + "new:" + y_new + } + } + return(S.converged >= S.min_ok) +} + +// -------------------------------------------------------------------------- + +`Matrix' weighted_quadcolsum(`FixedEffects' S, `Matrix' x, `Matrix' y) { + // BUGBUG: override S.has_weights with pruning + // One approach is faster for thin matrices + // We are using cross instead of quadcross but it should not matter for this use + if (S.has_weights) { + if (cols(x) < 14) { + return(quadcross(x :* y, S.weight)') + } + else { + return(diagonal(quadcross(x, S.weight, y))') + } + } + else { + if (cols(x) < 25) { + return(diagonal(quadcross(x, y))') + } + else { + return(colsum(x :* y)) + } + } +} + + +// RRE benchmarking +// || yk - y || / || y || === || ek - e || / || y || +`Real' reghdfe_rre_benchmark(`Vector' resid, `Vector' true_resid, `Real' norm_y) { + `Real' ans + ans = norm(resid - true_resid) / norm_y + return(ans) +} + +end diff --git a/30/replication_package/Adofiles/reghdfe_2019/reghdfe_bipartite.mata b/30/replication_package/Adofiles/reghdfe_2019/reghdfe_bipartite.mata new file mode 100644 index 0000000000000000000000000000000000000000..e84f528920b1e237f23383c85fde4e120b9f2db3 --- /dev/null +++ b/30/replication_package/Adofiles/reghdfe_2019/reghdfe_bipartite.mata @@ -0,0 +1,546 @@ +// Bipartite Graphs --------------------------------------------------------- +// - For simplicity, assume the graph represent (firm, ceo) pairs +// - TODO: Check when we don't need all these objects anymore and clean them up! + +mata: + +class BipartiteGraph +{ + // Computed by init() + `Boolean' verbose + `Integer' N // Num. obs + `Integer' N1 // Num. levels of FE 1 + `Integer' N2 // Num. levels of FE 2 + `Integer' N12 // N1 + N2 + `FactorPointer' PF1 + `FactorPointer' PF2 + `Factor' F12 + `Factor' F12_1 + `Factor' F12_2 + + // Computed by init_zigzag() + `Vector' queue + `Vector' stack + `Vector' keys1_by_2 + `Vector' keys2_by_1 + `Integer' num_subgraphs + `Variable' subgraph_id // (optional) + + // Computed by compute_cores() + `Vector' cores + `Vector' drop_order + + // Computed after prune_1core() + `Integer' N_drop + `Variable' mask // mask (0|1) of obs that are dropped after prunning of degree-1 edges + `Boolean' prune // Whether to recursively prune degree-1 edges + `Vector' drop2idx + `Matrix' drop2info + `Variable' sorted_w + `Boolean' has_weights + `Variable' sorted_true_weight + + + // Methods + `Void' init() + `Real' init_zigzag() + `Void' compute_cores() + `Void' prune_1core() + `Variables' expand_1core() + `Variables' partial_out() + `Variables' __partial_out_map() + `Variables' __partial_out_laplacian() +} + + +`Void' BipartiteGraph::init(`FactorPointer' PF1, + `FactorPointer' PF2, + `Boolean' verbose) +{ + if (verbose) { + printf("\n{txt}## Initializing bipartite graph\n\n") + printf(" - FE #1: {res}%s{txt}\n", invtokens((*PF1).varlist)) + printf(" - FE #2: {res}%s{txt}\n", invtokens((*PF2).varlist)) + } + this.verbose = verbose + this.PF1 = PF1 + this.PF2 = PF2 + + N = (*PF1).num_obs + N1 = (*PF1).num_levels + N2 = (*PF2).num_levels + N12 = N1 + N2 + (*PF1).panelsetup() // Just in case + (*PF2).panelsetup() // Just in case + + // F12 must be created from F1.levels and F2.levels (not from the original keys) + // This is set automatically by join_factors() with the correct flag: + // F12 = join_factors(F1, F2, ., ., 1) + // But you can also run (slower) + // F12 = _factor( (F1.levels, F2.levels) ) + // asarray(F12.extra, "levels_as_keys", 1) + if (verbose) printf("{txt} - computing F12: ") + // join_factors(F1, (*PF2) [, count_levels, save_keys, levels_as_keys]) + F12 = join_factors((*PF1), (*PF2), ., ., 1) + if (verbose) printf("{txt} edges found: {res}%-10.0gc{txt}\n", F12.num_levels) + F12.panelsetup() + + if (verbose) printf("{txt} - computing F12_1:") + // _factor(data [, integers_only, verbose, method, sort_levels, count_levels, hash_ratio, save_keys]) + F12_1 = _factor(F12.keys[., 1], 1, 0, "", 1, 1, ., 0) + if (verbose) printf("{txt} edges found: {res}%-10.0gc{txt}\n", F12_1.num_levels) + F12_1.panelsetup() + + if (verbose) printf("{txt} - computing F12_2:") + F12_2 = _factor(F12.keys[., 2], 1, 0, "", 1, 1, ., 0) + if (verbose) printf("{txt} edges found: {res}%-10.0gc{txt}\n", F12_2.num_levels) + F12_2.panelsetup() +} + + +// -------------------------------------------------------------------------- +// init_zigzag() +// -------------------------------------------------------------------------- +// Construct -queue- and -stack- vectors that allow zigzag iteration +// +// queue: firm and CEOs that will be processed, in the required order +// note: negative values indicate CEOs +// +// stack: for each firm/CEO, the list of nodes it connects to +// note: stacks are zero-separated +// +// -------------------------------------------------------------------------- +// As a byproduct, also computes the number of disjoint subgraphs. +// See the algorithm from on Abowd, Creecy and Kramarz (WP 2002) p4. Sketch: +// +// g = 0 +// While there are firms w/out a group: +// g++ +// Assign the first firm w/out a group to group g +// Repeat until no further changes: +// Add all persons employed by a firm in g to g +// Add all firms that employ persons in g to g +// return(g) +// -------------------------------------------------------------------------- +// -------------------------------------------------------------------------- +`Real' BipartiteGraph::init_zigzag(| `Boolean' save_subgraphs) +{ + `Vector' counter1 + `Vector' counter2 + `Vector' done1 + `Vector' done2 + + `Integer' i_stack // use to process the queue + `Integer' last_i // use to fill out the queue + `Integer' start_j // use to search for firms to start graph enumeration + `Integer' i_queue + `Integer' id // firm number if id>0; error if id=0; ceo number if id<0 + `Integer' j // firm # (or viceversa) + `Integer' k // ceo # (or viceversa) + `Integer' c // temporary counter + `Integer' i // temporary iterator + + `Matrix' matches // list of CEOs that matched with firm j (or viceversa) + + if (verbose) printf("\n{txt}## Initializing zigzag iterator for bipartite graph\n\n") + assert(F12_1.panel_is_setup) + assert(F12_2.panel_is_setup) + assert(asarray(F12.extra, "levels_as_keys") == 1) + + // If subgraph_id (mobility groups) is anything BUT zero, we will save them + if (args()==0 | save_subgraphs==.) save_subgraphs = 0 + if (save_subgraphs) { + subgraph_id = J(N2, 1, .) + } + + queue = J(N12, 1, 0) + stack = J(F12.num_levels + N12, 1, .) // there are N12 zeros + counter1 = J(N1, 1, 0) + counter2 = J(N2, 1, 0) + + keys1_by_2 = F12_2.sort(F12.keys[., 1]) + keys2_by_1 = F12_1.sort(F12.keys[., 2]) + done1 = J(N1, 1, 0) // if a firm is already on the queue + done2 = J(N2, 1, 0) // if a CEO is already on the queue + + // Use -j- for only for firms and -k- only for CEOs + // Use -i_queue- to iterate over the queue and -i_stack- over the stack + // Use -last_i- to fill out the queue (so its the last filled value) + // Use -i- to iterate arbitrary vectors + // Use -id- to indicate a possible j or k (negative for k) + // Use -start_j- to remember where to start searching for new subgraphs + + i_stack = 0 + last_i = 0 + start_j = 1 + num_subgraphs = 0 + + for (i_queue=1; i_queue<=N12; i_queue++) { + id = queue[i_queue] // >0 if firm ; <0 if CEO; ==0 if nothing yet + j = k = . // just to avoid bugs + + // Pick starting point (useful if the graph is disjoint!) + if (id == 0) { + assert(last_i + 1 == i_queue) + for (j=start_j; j<=N1; j++) { + if (!done1[j]) { + queue[i_queue] = id = j + start_j = j + 1 + ++last_i + break + } + } + // printf("{txt} - starting subgraph with firm %g\n", j) + ++num_subgraphs + assert(id != 0) // Sanity check + } + + if (id > 0) { + // It's a firm + j = id + done1[j] = 1 + matches = panelsubmatrix(keys2_by_1, j, F12_1.info) + for (i=1; i<=rows(matches); i++) { + k = matches[i] + c = counter2[k] + counter2[k] = c + 1 + if (!done2[k]) { + if (!c) { + queue[++last_i] = -k + } + stack[++i_stack] = k + } + } + stack[++i_stack] = 0 + } + else { + // It's a CEO + k = -id + done2[k] = 1 + matches = panelsubmatrix(keys1_by_2, k, F12_2.info) + for (i=1; i<=rows(matches); i++) { + j = matches[i] + c = counter1[j] + counter1[j] = c + 1 + if (!done1[j]) { + if (!c) { + queue[++last_i] = j + } + stack[++i_stack] = j + } + } + stack[++i_stack] = 0 + if (save_subgraphs) subgraph_id[k] = num_subgraphs + } + } + + // Sanity checks + assert(counter1 == F12_1.counts) + assert(counter2 == F12_2.counts) + assert(!anyof(queue, 0)) // queue can't have zeros at the end + assert(allof(done1, 1)) + assert(allof(done2, 1)) + assert(!missing(queue)) + assert(!missing(stack)) + + if (save_subgraphs) subgraph_id = subgraph_id[(*PF2).levels] + + if (verbose) printf("{txt} - disjoint subgraphs found: {res}%g{txt}\n", num_subgraphs) + return(num_subgraphs) +} + + +// -------------------------------------------------------------------------- +// compute_cores() +// -------------------------------------------------------------------------- +// Computes vertex core numbers, which allows k-core pruning +// Algorithm used is listed here: https://arxiv.org/abs/cs/0310049 +// -------------------------------------------------------------------------- +// Note: +// maybe use the k-cores for something useful? eg: +// we might want to weight the core numbers by the strength (# of obs together) +// https://arxiv.org/pdf/1611.02756.pdf --> # of butterflies in bipartite graph +// this paper also has useful data sources for benchmarks +// # of primary and secondary vertices, edges +// -------------------------------------------------------------------------- + +`Void' BipartiteGraph::compute_cores() +{ + `Factor' Fbin + `Boolean' is_firm + `Integer' M, ND, j, jj + `Integer' i_v, i_u, i_w + `Integer' pv, pu, pw + `Integer' v, u, w + `Integer' dv, du + `Vector' bin, deg, pos, invpos, vert, neighbors + + if (verbose) printf("\n{txt}## Computing vertex core numbers\n\n") + + // v, u, w are vertices; <0 for CEOs and >0 for firms + // vert is sorted by degree; deg is unsorted + // pos[i] goes from sorted to unsorted, so: + // vert[i] === original_vert[ pos[i] ] + // invpos goes from unsorted to sorted, so: + // vert[invpos[j]] === original_vert[j] + + // i_u represents the pos. of u in the sorted tables + // pu represents the pos. of u in the unsorted/original tables + + assert(F12_1.panel_is_setup==1) + assert(F12_2.panel_is_setup==1) + assert(rows(queue)==N12) + assert(rows(keys1_by_2)==F12.num_levels) + assert(rows(keys2_by_1)==F12.num_levels) + + deg = F12_1.counts \ F12_2.counts + ND = max(deg) // number of degrees + + Fbin = _factor(deg, 1, 0) + Fbin.panelsetup() + + bin = J(ND, 1, 0) + bin[Fbin.keys] = Fbin.counts + bin = rows(bin) > 1 ? runningsum(1 \ bin[1..ND-1]) : 1 + + pos = Fbin.p + invpos = invorder(Fbin.p) + + vert = Fbin.sort(( (1::N1) \ (-1::-N2) )) + + for (i_v=1; i_v<=N12; i_v++) { + v = vert[i_v] + is_firm = (v > 0) + + neighbors = is_firm ? panelsubmatrix(keys2_by_1, v, F12_1.info) : panelsubmatrix(keys1_by_2, -v, F12_2.info) + M = rows(neighbors) + + for (j=1; j<=M; j++) { + pv = pos[i_v] + jj = neighbors[j] + pu = is_firm ? N1 + jj : jj // is_firm is *not* for the neighbor + dv = deg[pv] + du = deg[pu] + + if (dv < du) { + i_w = bin[du] + w = vert[i_w] + u = is_firm ? -jj : jj // is_firm is *not* for the neighbor + if (u != w) { + pw = pos[i_w] + i_u = invpos[pu] + pos[i_u] = pw + pos[i_w] = pu + vert[i_u] = w + vert[i_w] = u + invpos[pu] = i_w + invpos[pw] = i_u + } + bin[du] = bin[du] + 1 + deg[pu] = deg[pu] - 1 + } + } // end for neighbor u (u ~ v) + } // end for each node v + + if (verbose) { + //printf("{txt} Table: core numbers and vertex count\n") + Fbin = _factor(deg, 1, 0) + //printf("\n") + mm_matlist(Fbin.counts, "%-8.0gc", 2, strofreal(Fbin.keys), "Freq.", "Core #") + printf("\n") + } + + // ((F1.keys \ F2.keys), (F12_1.keys \ -F12_2.keys))[selectindex(deg:==1), .] + + // Store the values in the class + swap(drop_order, vert) + swap(cores, deg) +} + +// -------------------------------------------------------------------------- +// prune_1core() +// -------------------------------------------------------------------------- +// Prune edges with degree-1 +// That is, recursively remove CEOs that only worked at one firm, +// and firms that only had one CEO in the sample, until every agent +// in the dataset has at least two matches +// -------------------------------------------------------------------------- +`Void' BipartiteGraph::prune_1core(| `Variable' weight) +{ + `Integer' N_drop2, i, j, i1, i2, j1, j2, K_drop2 + `Vector' drop1, drop2 + `Vector' tmp_mask + `Vector' proj1, proj2 + `Variable' w, tmp_weight + + has_weights = (args()>0 & rows(weight) > 1) + if (has_weights) sorted_true_weight = (*PF1).sort(weight) + tmp_weight = has_weights ? weight : J(N, 1, 1) + + N_drop = sum(cores :== 1) + if (!N_drop) { + if (verbose) printf("{txt} - no 1-core vertices found\n") + prune = 0 + return + } + if (verbose) printf("{txt} - 1-core vertices found: {res}%g{txt}\n", N_drop) + + drop_order = drop_order[1..N_drop] + drop1 = `selectindex'(cores[1..N1] :== 1) + cores = . + drop1 = (1::N1)[drop1] + drop2 = -select(drop_order, drop_order:<0) + + K_drop2 = rows(drop2) + N_drop2 = K_drop2 ? sum((*PF2).info[drop2, 2] :- (*PF2).info[drop2, 1] :+ 1) : 0 + + tmp_mask = J(N1, 1, 0) + if (rows(drop1)) tmp_mask[drop1] = J(rows(drop1), 1, 1) + mask = tmp_mask[(*PF1).levels, 1] + tmp_mask = J(N2, 1, 0) + if (K_drop2) tmp_mask[drop2] = J(K_drop2, 1, 1) + mask = mask :| tmp_mask[(*PF2).levels, 1] + tmp_mask = . + + drop2idx = J(N_drop2, 1, .) + drop2info = J(N2, 2, .) + + j1 = 1 + for (i=1; i<=K_drop2; i++) { + j = drop2[i] + i1 = (*PF2).info[j, 1] + i2 = (*PF2).info[j, 2] + + j2 = j1 + i2 - i1 + drop2idx[j1::j2] = i1::i2 + drop2info[j, .] = (j1, j2) + j1 = j2 + 1 + } + + if (!(*PF2).is_sorted) { + assert(((*PF2).p != J(0, 1, .))) + drop2idx = (*PF2).p[drop2idx, .] + } + + if (!(*PF1).is_sorted) { + assert(((*PF1).inv_p != J(0, 1, .))) + drop2idx = invorder((*PF1).p)[drop2idx, .] + } + + // To undo pruning, I need (*PF1).info[drop1, .] & drop2info & drop2idx + + // Set weights of pruned obs. to zero + tmp_weight[`selectindex'(mask)] = J(sum(mask), 1, 0) + + // Update sorted weights for g=1,2 + w = (*PF1).sort(tmp_weight) + asarray((*PF1).extra, "has_weights", 1) + asarray((*PF1).extra, "weights", w) + asarray((*PF1).extra, "weighted_counts", `panelsum'(w, (*PF1).info)) + w = . + + w = (*PF2).sort(tmp_weight) + tmp_weight = . // cleanup + asarray((*PF2).extra, "has_weights", 1) + asarray((*PF2).extra, "weights", w) + asarray((*PF2).extra, "weighted_counts", `panelsum'(w, (*PF2).info)) + w = . + + // Select obs where both FEs are degree-1 (and thus omitted) + sorted_w = J(N, 1, 1) + + proj1 = panelmean((*PF1).sort(sorted_w), *PF1)[(*PF1).levels, .] + proj2 = panelmean((*PF2).sort(sorted_w), *PF2)[(*PF2).levels, .] + sorted_w = ((sorted_w - proj1) :!= 1) :| ((sorted_w - proj2) :!= 1) + proj1 = proj2 = . + sorted_w = (*PF1).sort(sorted_w) + + prune = 1 +} + +// -------------------------------------------------------------------------- +// prune_1core() +// -------------------------------------------------------------------------- +// Prune edges with degree-1 +// That is, recursively remove CEOs that only worked at one firm, +// and firms that only had one CEO in the sample, until every agent +// in the dataset has at least two matches +// -------------------------------------------------------------------------- +`Variables' BipartiteGraph::expand_1core(`Variables' y) +{ + `Boolean' zero_weights + `Variable' sorted_y + `Integer' i, j, j1, j2, i2, k1, k2, nk + `Matrix' tmp_y + `Vector' tmp_w, tmp_idx, new_w + `RowVector' tmp_mean + + if (prune==0) return(y) + if (verbose) printf("\n{txt}## Expanding 2-core into original dataset\n\n") + assert(N_drop == rows(drop_order)) + + sorted_y = (*PF1).sort(y) + + i2 = 0 + for (i=N_drop; i>=1; i--) { + j = drop_order[i] + if (j > 0) { + j1 = (*PF1).info[j, 1] + j2 = (*PF1).info[j, 2] + + tmp_y = sorted_y[| j1 , 1 \ j2 , . |] // panelsubmatrix(sorted_y, j, (*PF1).info) + tmp_w = sorted_w[|j1, 1 \ j2, .|] // panelsubmatrix(sorted_w, j, (*PF1).info) + new_w = has_weights ? sorted_true_weight[|j1, 1 \ j2, .|] : J(j2-j1+1, 1, 1) + zero_weights = !sum(tmp_w) + if (!zero_weights) { + tmp_mean = mean(tmp_y, tmp_w) + assert(!missing(tmp_mean)) // bugbug remove later + sorted_y[| j1 , 1 \ j2 , . |] = tmp_y :- tmp_mean + } + sorted_w[| j1 , 1 \ j2 , 1 |] = new_w + } + else { + ++i2 + j1 = drop2info[-j, 1] + j2 = drop2info[-j, 2] + tmp_idx = drop2idx[| j1 , 1 \ j2 , 1 |] + tmp_y = sorted_y[tmp_idx, .] + tmp_w = sorted_w[tmp_idx] + zero_weights = !sum(tmp_w) + if (zero_weights) { + tmp_w = has_weights ? sorted_true_weight[tmp_idx] : J(j2-j1+1, 1, 1) + } + tmp_mean = mean(tmp_y, tmp_w) + assert(!missing(tmp_mean)) // bugbug remove later + nk = rows(tmp_idx) + for (k1=1; k1<=nk; k1++) { + k2 = tmp_idx[k1] + sorted_y[k2, .] = sorted_y[k2, .] - tmp_mean + sorted_w[k2] = has_weights ? sorted_true_weight[k2] : 1 + } + } + } + + if (verbose) printf("{txt} - number of coefficients solved triangularly: {res}%s{txt}\n", strofreal(rows(drop_order))) + return((*PF1).invsort(sorted_y)) +} + + +`Variables' BipartiteGraph::partial_out(`Variables' y) +{ + +} + + +`Variables' BipartiteGraph::__partial_out_map(`Variables' y) +{ + +} + + +`Variables' BipartiteGraph::__partial_out_laplacian(`Variables' y) +{ + +} + +end diff --git a/30/replication_package/Adofiles/reghdfe_2019/reghdfe_class.mata b/30/replication_package/Adofiles/reghdfe_2019/reghdfe_class.mata new file mode 100644 index 0000000000000000000000000000000000000000..4fbfb8fae52a388ccb31783abf3b030f87e06e0d --- /dev/null +++ b/30/replication_package/Adofiles/reghdfe_2019/reghdfe_class.mata @@ -0,0 +1,1384 @@ +// -------------------------------------------------------------------------- +// FixedEffects main class +// -------------------------------------------------------------------------- + +mata: + +class FixedEffects +{ + // Factors + `Integer' G // Number of sets of FEs + `Integer' N // number of obs + `Integer' M // Sum of all possible FE coefs + `Factors' factors + `Vector' sample + `Varlist' absvars + `Varlist' ivars + `Varlist' cvars + `Boolean' has_intercept + `RowVector' intercepts + `RowVector' num_slopes + `Integer' num_singletons + `Boolean' save_any_fe + `Boolean' save_all_fe + `Varlist' targets + `RowVector' save_fe + + // Constant-related (also see -has_intercept-) + `Boolean' report_constant + `Boolean' compute_constant + + // Optimization options + `Real' tolerance + `Real' extra_tolerance // Try to achieve this tol if it only takes a few more iters: ceil(10%) + `Integer' maxiter + `String' transform // Kaczmarz Cimmino Symmetric_kaczmarz (k c s) + `String' acceleration // Acceleration method. None/No/Empty is none\ + `Integer' accel_start // Iteration where we start to accelerate // set it at 6? 2?3? + `string' slope_method + `Boolean' prune // Whether to recursively prune degree-1 edges + `Boolean' abort // Raise error if convergence failed? + `Integer' accel_freq // Specific to Aitken's acceleration + `Boolean' storing_alphas // 1 if we should compute the alphas/fes + `Real' conlim // specific to LSMR + `Real' btol // specific to LSMR + `Boolean' always_run_lsmr_preconditioner + `Integer' min_ok + + // Optimization objects + `BipartiteGraph' bg // Used when pruning 1-core vertices + `Vector' pruned_weight // temp. weight for the factors that were pruned + `Integer' prune_g1 // Factor 1/2 in the bipartite subgraph that gets pruned + `Integer' prune_g2 // Factor 2/2 in the bipartite subgraph that gets pruned + `Integer' num_pruned // Number of vertices (levels) that were pruned + + // Misc + `Integer' verbose + `Boolean' timeit + `Boolean' compact + `Integer' poolsize + `Boolean' store_sample + `Real' finite_condition + `Real' compute_rre // Relative residual error: || e_k - e || / || e || + `Real' rre_depvar_norm + `Vector' rre_varname + `Vector' rre_true_residual + `String' panelvar + `String' timevar + + `RowVector' not_basevar // Boolean vector indicating whether each regressor is or not a basevar + `String' fullindepvars // indepvars including basevars + + // Weight-specific + `Boolean' has_weights + `Variable' weight // unsorted weight + `String' weight_var // Weighting variable + `String' weight_type // Weight type (pw, fw, etc) + + // Absorbed degrees-of-freedom computations + `Integer' G_extended // Number of intercepts plus slopes + `Integer' df_a_redundant // e(mobility) + `Integer' df_a_initial + `Integer' df_a // df_a_inital - df_a_redundant + `Vector' doflist_M + `Vector' doflist_K + `Vector' doflist_M_is_exact + `Vector' doflist_M_is_nested + `Vector' is_slope + `Integer' df_a_nested // Redundant due to bein nested; used for: r2_a r2_a_within rmse + + // VCE and cluster variables + `String' vcetype + `Integer' num_clusters + `Varlist' clustervars + `Varlist' base_clustervars + `String' vceextra + + // Regression-specific + `String' varlist // y x1 x2 x3 + `String' depvar // y + `String' indepvars // x1 x2 x3 + `String' tousevar + + `Boolean' drop_singletons + `String' absorb // contents of absorb() + `String' select_if // If condition + `String' select_in // In condition + `String' model // ols, iv + `String' summarize_stats + `Boolean' summarize_quietly + `StringRowVector' dofadjustments // firstpair pairwise cluster continuous + `Varname' groupvar + `String' residuals + `Variable' residuals_vector + `RowVector' kept // 1 if the regressors are not deemed as omitted (by partial_out+cholsolve+invsym) + `String' diopts + + // Output + `String' cmdline + `String' subcmd + `String' title + `Boolean' converged + `Integer' iteration_count // e(ic) + `Varlist' extended_absvars + `String' notes + `Integer' df_r + `Integer' df_m + `Integer' N_clust + `Integer' N_clust_list + `Real' rss + `Real' rmse + `Real' F + `Real' tss + `Real' tss_within + `Real' sumweights + `Real' r2 + `Real' r2_within + `Real' r2_a + `Real' r2_a_within + `Real' ll + `Real' ll_0 + `Real' accuracy + `RowVector' means + `RowVector' all_stdevs + + // Methods + `Void' new() + `Void' destroy() + `Void' load_weights() // calls update_sorted_weights, etc. + `Void' update_sorted_weights() + `Void' update_cvar_objects() + `Matrix' partial_out() + `Matrix' partial_out_pool() + `Void' _partial_out() + `Variables' project_one_fe() + `Void' prune_1core() + `Void' _expand_1core() + `Void' estimate_dof() + `Void' estimate_cond() + `Void' save_touse() + `Void' store_alphas() + `Void' save_variable() + `Void' post_footnote() + `Void' post() + `FixedEffects' reload() // create new instance of object + + // LSMR-Specific Methods + `Real' lsmr_norm() + `Vector' lsmr_A_mult() + `Vector' lsmr_At_mult() +} + + +// Set default value of properties +`Void' FixedEffects::new() +{ + num_singletons = . + sample = J(0, 1, .) + weight = 1 // set to 1 so cross(x, S.weight, y)==cross(x, y) + + verbose = 0 + timeit = 0 + compact = 0 + poolsize = . + finite_condition = . + residuals = "" + residuals_vector = . + panelvar = timevar = "" + iteration_count = 0 + accuracy = -1 // Epsilon at the time of convergence + + // Optimization defaults + slope_method = "invsym" + maxiter = 1e4 + tolerance = 1e-8 + transform = "symmetric_kaczmarz" + acceleration = "conjugate_gradient" + accel_start = 6 + conlim = 1e+8 // lsmr only + btol = 1e-8 // lsmr only (note: atol is just tolerance) + always_run_lsmr_preconditioner = 0 + min_ok = 1 + + prune = 0 + converged = 0 + abort = 1 + storing_alphas = 0 + report_constant = compute_constant = 1 + + // Specific to Aitken: + accel_freq = 3 + + not_basevar = J(1, 0, .) + + means = all_stdevs = J(1, 0, .) // necessary with pool() because we append to it + kept = J(1, 0, .) // necessary with pool() because we append to it +} + + +`Void' FixedEffects::destroy() +{ + // stata(sprintf("cap drop %s", tousevar)) +} + + +// This adds/removes weights or changes their type +`Void' FixedEffects::load_weights(`String' weighttype, `String' weightvar, `Variable' weight, `Boolean' verbose) +{ + `Integer' g + `FactorPointer' pf + `Matrix' precond // used for lsmr + `Varname' cvars_g + + this.has_weights = (weighttype != "" & weightvar != "") + if (this.verbose > 0 & verbose > 0 & this.has_weights) printf("{txt}## Loading weights [%s=%s]\n", weighttype, weightvar) + + // Update main properties + this.weight_var = weightvar + this.weight_type = weighttype + + // Update booleans + for (g=1; g<=this.G; g++) { + asarray(this.factors[g].extra, "has_weights", this.has_weights) + } + + // Optionally load weight from dataset + if (this.has_weights & weight==J(0,1,.)) { + weight = st_data(this.sample, this.weight_var) + } + + // Update weight vectors + if (this.has_weights) { + if (this.verbose > 0 & verbose > 0) printf("{txt}## Sorting weights for each absvar\n") + this.update_sorted_weights(weight) + } + else { + // If no weights, clear this up + this.weight = 1 // same as defined by new() + for (g=1; g<=this.G; g++) { + asarray(this.factors[g].extra, "weights", .) + asarray(this.factors[g].extra, "weighted_counts", .) + } + } + + // Update cvar objects (do AFTER updating weights!) + // (this is meaningless with iweights) + if (weighttype != "iweight") this.update_cvar_objects() + + // Preconditioners for LSMR + if (acceleration=="lsmr" | always_run_lsmr_preconditioner) { + + // Compute M + M = 0 + for (g=1; g<=G; g++) { + M = M + factors[g].num_levels * (intercepts[g] + num_slopes[g]) + } + + // Preconditioner + for (g=1; g<=G; g++) { + pf = &(factors[g]) + if (intercepts[g]) { + precond = has_weights ? asarray((*pf).extra, "weighted_counts") : (*pf).counts + asarray((*pf).extra, "precond_intercept", sqrt(1 :/ precond)) + } + + if (num_slopes[g]) { + cvars_g = tokens(this.cvars[g]) + precond = st_data(this.sample, cvars_g) + precond = reghdfe_panel_precondition(precond, (*pf)) + asarray((*pf).extra, "precond_slopes", precond) + } + + precond = . + } + } + +} + + +// This just updates the weight but doesn't change the type or variable of the weight +`Void' FixedEffects::update_sorted_weights(`Variable' weight) +{ + `Integer' g + `Real' min_w + `Variable' w + `FactorPointer' pf + + assert_msg(!hasmissing(weight), "weights can't be missing") + this.weight = weight + assert(rows(weight)==rows(sample)) + if (verbose > 0) printf("{txt} - loading %s weight from variable %s\n", weight_type, weight_var) + for (g=1; g<=G; g++) { + if (verbose > 0) printf("{txt} - sorting weight for factor {res}%s{txt}\n", absvars[g]) + pf = &(factors[g]) + w = (*pf).sort(weight) + + // Rescale weights so there are no weights below 1 + if (weight_type != "fweight") { + min_w = colmin(w) + if (min_w < 1e-6) min_w = 1e-6 // Prevent bugs if a weight is very close to zero + //assert_msg(min_w > 0, "weights must be positive") + //if (min_w <= 0) printf("{err} not all weights are positive\n") + if (0 < min_w & min_w < 1) { + w = w :/ min_w + } + } + + asarray((*pf).extra, "weights", w) + asarray((*pf).extra, "weighted_counts", `panelsum'(w, (*pf).info)) + } +} + + +`Void' FixedEffects::update_cvar_objects() +{ + `Integer' g + `FactorPointer' pf + + for (g=1; g<=G; g++) { + pf = &(factors[g]) + // Update mean(z; w) and inv(z'z; w) where z is a slope variable and w is the weight + if (num_slopes[g]) { + if (verbose > 0) printf("{txt} - precomputing cvar objects for factor {res}%s{txt}\n", absvars[g]) + if (intercepts[g]) { + asarray((*pf).extra, "xmeans", + panelmean(asarray((*pf).extra, "x"), *pf)) + } + asarray((*pf).extra, "inv_xx", precompute_inv_xx(*pf, intercepts[g])) + } + } +} + + +`Variables' FixedEffects::partial_out(`Anything' data, + | `Boolean' save_tss, + `Boolean' standardize_data, + `Boolean' first_is_depvar) +{ + // -data- is either a varlist or a matrix + `Variables' y + `Varlist' vars + `Integer' i + `Integer' k + + if (args()<2 | save_tss==.) save_tss = 0 + if (args()<3 | standardize_data==.) standardize_data = 1 + if (args()<4 | first_is_depvar==.) first_is_depvar = 1 + + if (eltype(data) == "string") { + vars = tokens(invtokens(data)) // tweak to allow string scalars and string vectors + k = cols(vars) + + if (poolsize < k) { + if (verbose > 0) printf("\n{txt}## Loading and partialling out %g variables in blocks of %g\n\n", k, poolsize) + if (timeit) timer_on(50) + partial_out_pool(vars, save_tss, standardize_data, first_is_depvar, poolsize, y=.) + if (timeit) timer_off(50) + } + else { + if (verbose > 0) printf("\n{txt}## Partialling out %g variables: {res}%s{txt}\n\n", cols(vars), invtokens(vars)) + if (verbose > 0) printf("{txt} - Loading variables into Mata\n") + if (timeit) timer_on(50) + _st_data_wrapper(sample, invtokens(vars), y=., verbose) + if (timeit) timer_off(50) + + // Workaround to odd Stata quirk + if (timeit) timer_on(51) + if (cols(y) > cols(vars)) { + printf("{err}(some empty columns were added due to a bug/quirk in {bf:st_data()}; %g cols created instead of %g for {it:%s}; running slower workaround)\n", cols(y), cols(vars), invtokens(vars)) + partial_out_pool(vars, save_tss, standardize_data, first_is_depvar, 1, y=.) + } + else { + _partial_out(y, save_tss, standardize_data, first_is_depvar) + } + if (timeit) timer_off(51) + + } + } + else { + if (verbose > 0) printf("\n{txt}## Partialling out %g variables\n\n", cols(data)) + if (timeit) timer_on(54) + _partial_out(y=data, save_tss, standardize_data, first_is_depvar) + if (timeit) timer_off(54) + } + + if (verbose==0) printf(`"{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in %s iteration%s)\n"', strofreal(iteration_count), iteration_count > 1 ? "s" : "s") + return(y) +} + + + +`Variables' FixedEffects::partial_out_pool(`Anything' vars, + `Boolean' save_tss, + `Boolean' standardize_data, + `Boolean' first_is_depvar, + `Integer' step, + `Variables' y) +{ + `Variables' part_y + `Integer' i, j, ii + `Integer' k + `StringRowVector' keepvars + + k = cols(vars) + assert(step > 0) + assert(step < k) + y = J(rows(sample), 0, .) + + for (i=1; i<=k; i=i+step) { + + j = i + step - 1 + if (j>k) j = k + + // Load data + _st_data_wrapper(sample, vars[i..j], part_y=., verbose) + + if (cols(part_y) > j - i + 1) { + printf("{err}(some empty columns were added due to a bug/quirk in {bf:st_data()}; running slower workaround)\n") + if (timeit) timer_on(51) + part_y = J(rows(sample), 0, .) + for (ii=i; ii<=j; ii++) { + part_y = part_y, st_data(sample, vars[ii]) + } + if (timeit) timer_off(51) + } + + // Drop loaded vars as quickly as possible + if (compact) { + // st_dropvar(vars[i..j]) // bugbug what if repeated?? + keepvars = base_clustervars , timevar, panelvar, (j == k ? "" : vars[j+1..k]) + keepvars = tokens(invtokens(keepvars)) + if (cols(keepvars)) { + stata(sprintf("fvrevar %s, list", invtokens(keepvars))) + stata(sprintf("keep %s", st_global("r(varlist)"))) + } + else { + stata("clear") + } + } + + _partial_out(part_y, save_tss, standardize_data, first_is_depvar) + y = y, part_y + part_y = . + } +} + + +`Void' FixedEffects::store_alphas(`Anything' d_varname) +{ + `Integer' g, i, j + `StringRowVector' varlabel + `Variable' d + `RowVector' tmp_stdev + + if (verbose > 0) printf("\n{txt}## Storing estimated fixed effects\n\n") + + // -d- can be either the data or the variable name + + // Load -d- variable + if (eltype(d_varname) == "string") { + if (verbose > 0) printf("{txt} - Loading d = e(depvar) - xb - e(resid)\n") + d = st_data(sample, d_varname) + } + else { + d = d_varname + } + assert(!missing(d)) + + // Create empty alphas + if (verbose > 0) printf("{txt} - Initializing alphas\n") + for (g=j=1; g<=G; g++) { + if (!save_fe[g]) continue + asarray(factors[g].extra, "alphas", J(factors[g].num_levels, intercepts[g] + num_slopes[g], 0)) + asarray(factors[g].extra, "tmp_alphas", J(factors[g].num_levels, intercepts[g] + num_slopes[g], 0)) + } + + // Fill out alphas + if (verbose > 0) printf("{txt} - Computing alphas\n") + storing_alphas = 1 + converged = 0 + d = accelerate_sd(this, d, &transform_kaczmarz()) + storing_alphas = 0 + + if (verbose > 0) printf("{txt} - SSR of d wrt FEs: %g\n", quadcross(d,d)) + + // Store alphas in dataset + if (verbose > 0) printf("{txt} - Creating varlabels\n") + for (g=j=1; g<=G; g++) { + if (!save_fe[g]) { + j = j + intercepts[g] + num_slopes[g] + continue + } + varlabel = J(1, intercepts[g] + num_slopes[g], "") + for (i=1; i<=cols(varlabel); i++) { + varlabel[i] = sprintf("[FE] %s", extended_absvars[j]) + j++ + } + + if (num_slopes[g]) { + if (verbose > 0) printf("{txt} - Recovering unstandardized variables\n") + tmp_stdev = asarray(factors[g].extra, "x_stdevs") + if (intercepts[g]) tmp_stdev = 1, tmp_stdev + + // We need to *divide* the coefs by the stdev, not multiply! + asarray(factors[g].extra, "alphas", + asarray(factors[g].extra, "alphas") :/ tmp_stdev + ) + } + + if (verbose > 0) printf("{txt} - Storing alphas in dataset\n") + save_variable(targets[g], asarray(factors[g].extra, "alphas")[factors[g].levels, .], varlabel) + asarray(factors[g].extra, "alphas", .) + asarray(factors[g].extra, "tmp_alphas", .) + } +} + + +`Void' FixedEffects::_partial_out(`Variables' y, + | `Boolean' save_tss, + `Boolean' standardize_data, + `Boolean' first_is_depvar, + `Boolean' flush) +{ + `RowVector' stdevs, needs_zeroing, kept2 + `FunctionP' funct_transform, func_accel // transform + `Real' y_mean, collinear_tol + `Vector' lhs + `Vector' alphas + `StringRowVector' vars + `Integer' i + + if (args()<2 | save_tss==.) save_tss = 0 + if (args()<3 | standardize_data==.) standardize_data = 1 + if (args()<4 | first_is_depvar==.) first_is_depvar = 1 + if (args()<5 | flush==.) flush = 0 // whether or not to flush the values of means & kept + + assert(anyof((0, 1, 2), standardize_data)) // 0=Don't standardize; 1=Std. and REVERT after partial; 2=Std., partial, and KEEP STANDARDIZED + + if (flush) { + iteration_count = 0 + accuracy = -1 + means = stdevs = J(1, 0, .) + kept = J(1, 0, .) + } + + // Shortcut for trivial case (1 FE) + if (G==1) acceleration = "none" + + // Solver Warnings + if (transform=="kaczmarz" & acceleration=="conjugate_gradient") { + printf("{err}(WARNING: convergence is {bf:unlikely} with transform=kaczmarz and accel=CG)\n") + } + + // Load transform pointer + if (transform=="cimmino") funct_transform = &transform_cimmino() + if (transform=="kaczmarz") funct_transform = &transform_kaczmarz() + if (transform=="symmetric_kaczmarz") funct_transform = &transform_sym_kaczmarz() + if (transform=="random_kaczmarz") funct_transform = &transform_rand_kaczmarz() + + // Pointer to acceleration routine + if (acceleration=="test") func_accel = &accelerate_test() + if (acceleration=="none") func_accel = &accelerate_none() + if (acceleration=="conjugate_gradient") func_accel = &accelerate_cg() + if (acceleration=="steepest_descent") func_accel = &accelerate_sd() + if (acceleration=="aitken") func_accel = &accelerate_aitken() + if (acceleration=="hybrid") func_accel = &accelerate_hybrid() + + // Compute TSS of depvar + if (timeit) timer_on(60) + if (save_tss & tss==.) { + lhs = y[., 1] + if (has_intercept) { + y_mean = mean(lhs, weight) + tss = crossdev(lhs, y_mean, weight, lhs, y_mean) // Sum of w[i] * (y[i]-y_mean) ^ 2 + } + else { + tss = cross(lhs, weight, lhs) // Sum of w[i] * y[i] ^ 2 + } + lhs = . + if (weight_type=="aweight" | weight_type=="pweight") tss = tss * rows(y) / sum(weight) + } + if (timeit) timer_off(60) + + + // Compute 2-norm of each var, to see if we need to drop as regressors + kept2 = diagonal(cross(y, y))' + + // Compute and save means of each var + means = means , ( compute_constant ? mean(y, weight) : J(1, cols(y), 1) ) + + // Intercept LSMR case + if (acceleration=="lsmr") { + // RRE benchmarking + if (compute_rre) rre_depvar_norm = norm(y[., 1]) + if (cols(y)==1) { + y = lsmr(this, y, alphas=.) + alphas = . // or return them! + } + else { + for (i=1; i<=cols(y); i++) { + y[., i] = lsmr(this, y[., i], alphas=.) + } + alphas = . + } + } + else { + + // Standardize variables + if (timeit) timer_on(61) + if (standardize_data) { + if (verbose > 0) printf("{txt} - Standardizing variables\n") + stdevs = reghdfe_standardize(y) + all_stdevs = all_stdevs, stdevs + kept2 = kept2 :/ stdevs :^ 2 + } + if (timeit) timer_off(61) + + // RRE benchmarking + if (compute_rre) { + rre_true_residual = rre_true_residual / (standardize_data ? stdevs[1] : 1) + rre_depvar_norm = norm(y[., 1]) + } + + // Solve + if (verbose>0) printf("{txt} - Running solver (acceleration={res}%s{txt}, transform={res}%s{txt} tol={res}%-1.0e{txt})\n", acceleration, transform, tolerance) + if (verbose==1) printf("{txt} - Iterating:") + if (verbose>1) printf("{txt} ") + converged = 0 // converged will get updated by check_convergence() + + if (timeit) timer_on(62) + if (G==1 & factors[1].method=="none" & num_slopes[1]==0 & !(storing_alphas & save_fe[1])) { + // Speedup for constant-only case (no fixed effects) + assert(factors[1].num_levels == 1) + iteration_count = 1 + accuracy = 0 + if (standardize_data == 1) { + y = stdevs :* y :- stdevs :* mean(y, has_weights ? asarray(factors[1].extra, "weights") : 1) // Undoing standardization + } + else { + y = y :- mean(y, has_weights ? asarray(factors[1].extra, "weights") : 1) + } + } + else { + if (standardize_data == 1) { + y = (*func_accel)(this, y, funct_transform) :* stdevs // Undoing standardization + } + else { + y = (*func_accel)(this, y, funct_transform) // 'this' is like python's self + } + } + if (timeit) timer_off(62) + + if (prune) { + assert_msg(G==2, "prune option requires only two FEs") + if (timeit) timer_on(63) + _expand_1core(y) + if (timeit) timer_off(63) + } + } + + assert_msg(!hasmissing(y), "error partialling out; missing values found") + + // Standardizing makes it hard to detect values that are perfectly collinear with the absvars + // in which case they should be 0.00 but they end up as e.g. 1e-16 + // EG: reghdfe price ibn.foreign , absorb(foreign) + + // This will edit to zero entire columns where *ALL* values are very close to zero + if (timeit) timer_on(64) + vars = cols(varlist) > 1 ? varlist : tokens(varlist) + if (cols(vars)!=cols(y)) vars ="variable #" :+ strofreal(1..cols(y)) + collinear_tol = min(( 1e-6 , tolerance / 10)) + + kept2 = (diagonal(cross(y, y))' :/ kept2) :> (collinear_tol) + if (first_is_depvar & kept2[1]==0) { + kept2[1] = 1 + if (verbose > -1) printf("{txt}warning: %s might be perfectly explained by fixed effects (tol =%3.1e)\n", vars[1], collinear_tol) + } + needs_zeroing = `selectindex'(!kept2) + if (cols(needs_zeroing)) { + y[., needs_zeroing] = J(rows(y), cols(needs_zeroing), 0) + for (i=1; i<=cols(vars); i++) { + if (!kept2[i] & verbose>-1 & (i > 1 | !first_is_depvar)) { + printf("{txt}note: {res}%s{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol =%3.1e)\n", vars[i], collinear_tol) + } + } + } + + kept = kept, kept2 + if (timeit) timer_off(64) +} + + +`Variables' FixedEffects::project_one_fe(`Variables' y, `Integer' g) +{ + `Factor' f + `Boolean' store_these_alphas + `Matrix' alphas, proj_y + + // Cons+K+W, Cons+K, K+W, K, Cons+W, Cons = 6 variants + + f = factors[g] + store_these_alphas = storing_alphas & save_fe[g] + if (store_these_alphas) assert(cols(y)==1) + + if (num_slopes[g]==0) { + if (store_these_alphas) { + alphas = panelmean(f.sort(y), f) + asarray(factors[g].extra, "tmp_alphas", alphas) + return(alphas[f.levels, .]) + } + else { + if (cols(y)==1 & f.num_levels > 1) { + return(panelmean(f.sort(y), f)[f.levels]) + } + else { + return(panelmean(f.sort(y), f)[f.levels, .]) + } + } + } + else { + // This includes both cases, with and w/out intercept (## and #) + if (store_these_alphas) { + alphas = J(f.num_levels, intercepts[g] + num_slopes[g], .) + proj_y = panelsolve_invsym(f.sort(y), f, intercepts[g], alphas) + asarray(factors[g].extra, "tmp_alphas", alphas) + return(proj_y) + } + else { + return(panelsolve_invsym(f.sort(y), f, intercepts[g])) + } + } +} + + +`Void' FixedEffects::estimate_dof() +{ + `Boolean' has_int + `Integer' g, h // index FEs (1..G) + `Integer' num_intercepts // Number of absvars with an intercept term + `Integer' i_cluster, i_intercept, j_intercept + `Integer' i // index 1..G_extended + `Integer' j + `Integer' bg_verbose // verbose level when calling BipartiteGraph() + `Integer' m // Mobility groups between a specific pair of FEs + `RowVector' SubGs + `RowVector' offsets, idx, zeros, results + `Matrix' tmp + `Variables' data + `DataCol' cluster_data + `String' absvar, clustervar + `Factor' F + `BipartiteGraph' BG + `Integer' pair_count + + if (verbose > 0) printf("\n{txt}## Estimating degrees-of-freedom absorbed by the fixed effects\n\n") + + // Count all FE intercepts and slopes + SubGs = intercepts + num_slopes + G_extended = sum(SubGs) + num_intercepts = sum(intercepts) + offsets = runningsum(SubGs) - SubGs :+ 1 // start of each FE within the extended list + idx = `selectindex'(intercepts) // Select all FEs with intercepts + if (verbose > 0) printf("{txt} - there are %f fixed intercepts and slopes in the %f absvars\n", G_extended, G) + + // Initialize result vectors and scalars + doflist_M_is_exact = J(1, G_extended, 0) + doflist_M_is_nested = J(1, G_extended, 0) + df_a_nested = 0 + + // (1) M will hold the redundant coefs for each extended absvar (G_extended, not G) + doflist_M = J(1, G_extended, 0) + assert(0 <= num_clusters & num_clusters <= 10) + if (num_clusters > 0 & anyof(dofadjustments, "clusters")) { + + // (2) (Intercept-Only) Look for absvars that are clustervars + for (i_intercept=1; i_intercept<=length(idx); i_intercept++) { + g = idx[i_intercept] + i = offsets[g] + absvar = invtokens(tokens(ivars[g]), "#") + if (anyof(clustervars, absvar)) { + doflist_M[i] = factors[g].num_levels + df_a_nested = df_a_nested + doflist_M[i] + doflist_M_is_exact[i] = doflist_M_is_nested[i] = 1 + idx[i_intercept] = 0 + if (verbose > 0) printf("{txt} - categorical variable {res}%s{txt} is also a cluster variable, so it doesn't reduce DoF\n", absvar) + } + } + idx = select(idx, idx) + + // (3) (Intercept-Only) Look for absvars that are nested within a clustervar + for (i_cluster=1; i_cluster<= num_clusters; i_cluster++) { + cluster_data = . + if (!length(idx)) break // no more absvars to process + for (i_intercept=1; i_intercept<=length(idx); i_intercept++) { + + g = idx[i_intercept] + i = offsets[g] + absvar = invtokens(tokens(ivars[g]), "#") + clustervar = clustervars[i_cluster] + if (doflist_M_is_exact[i]) continue // nothing to do + + if (cluster_data == .) { + if (strpos(clustervar, "#")) { + clustervar = subinstr(clustervars[i_cluster], "#", " ", .) + F = factor(clustervar, sample, ., "", 0, 0, ., 0) + cluster_data = F.levels + F = Factor() // clear + } + else { + cluster_data = __fload_data(clustervar, sample, 0) + } + } + + if (factors[g].nested_within(cluster_data)) { + doflist_M[i] = factors[g].num_levels + doflist_M_is_exact[i] = doflist_M_is_nested[i] = 1 + df_a_nested = df_a_nested + doflist_M[i] + idx[i_intercept] = 0 + if (verbose > 0) printf("{txt} - categorical variable {res}%s{txt} is nested within a cluster variable, so it doesn't reduce DoF\n", absvar) + } + } + idx = select(idx, idx) + } + cluster_data = . // save memory + } // end of the two cluster checks (absvar is clustervar; absvar is nested within clustervar) + + + // (4) (Intercept-Only) Every intercept but the first has at least one redundant coef. + if (length(idx) > 1) { + if (verbose > 0) printf("{txt} - there is at least one redundant coef. for every set of FE intercepts after the first one\n") + doflist_M[offsets[idx[2..length(idx)]]] = J(1, length(idx)-1, 1) // Set DoF loss of all intercepts but the first one to 1 + } + + // (5) (Intercept-only) Mobility group algorithm + // Excluding those already solved, the first absvar is exact + + if (length(idx)) { + i = idx[1] + doflist_M_is_exact[i] = 1 + } + + // Compute number of dijsoint subgraphs / mobility groups for each pair of remaining FEs + if (anyof(dofadjustments, "firstpair") | anyof(dofadjustments, "pairwise")) { + BG = BipartiteGraph() + bg_verbose = max(( verbose - 1 , 0 )) + pair_count = 0 + + for (i_intercept=1; i_intercept<=length(idx)-1; i_intercept++) { + for (j_intercept=i_intercept+1; j_intercept<=length(idx); j_intercept++) { + g = idx[i_intercept] + h = idx[j_intercept] + i = offsets[h] + BG.init(&factors[g], &factors[h], bg_verbose) + m = BG.init_zigzag() + ++pair_count + if (verbose > 0) printf("{txt} - mobility groups between FE intercepts #%f and #%f: {res}%f\n", g, h, m) + doflist_M[i] = max(( doflist_M[i] , m )) + if (j_intercept==2) doflist_M_is_exact[i] = 1 + if (pair_count & anyof(dofadjustments, "firstpair")) break + } + if (pair_count & anyof(dofadjustments, "firstpair")) break + } + BG = BipartiteGraph() // clear + } + // TODO: add group3hdfe + + // (6) See if cvars are zero (w/out intercept) or just constant (w/intercept) + if (anyof(dofadjustments, "continuous")) { + for (i=g=1; g<=G; g++) { + // If model has intercept, redundant cvars are those that are CONSTANT + // Without intercept, a cvar has to be zero within a FE for it to be redundant + // Since S.fes[g].x are already demeaned IF they have intercept, we don't have to worry about the two cases + has_int = intercepts[g] + if (has_int) i++ + if (!num_slopes[g]) continue + + data = asarray(factors[g].extra, "x") + assert(num_slopes[g]==cols(data)) + results = J(1, cols(data), 0) + // float(1.1) - 1 == 2.384e-08 , so let's pick something bigger, 1e-6 + zeros = J(1, cols(data), 1e-6) + // This can be speed up by moving the -if- outside the -for- + for (j = 1; j <= factors[g].num_levels; j++) { + tmp = colminmax(panelsubmatrix(data, j, factors[g].info)) + if (has_int) { + results = results + ((tmp[2, .] - tmp[1, .]) :<= zeros) + } + else { + results = results + (colsum(abs(tmp)) :<= zeros) + } + } + data = . + if (sum(results)) { + if (has_int & verbose) printf("{txt} - the slopes in the FE #%f are constant for {res}%f{txt} levels, which don't reduce DoF\n", g, sum(results)) + if (!has_int & verbose) printf("{txt} - the slopes in the FE #%f are zero for {res}%f{txt} levels, which don't reduce DoF\n", g, sum(results)) + doflist_M[i..i+num_slopes[g]-1] = results + } + i = i + num_slopes[g] + } + } + + // Store results (besides doflist_..., etc.) + doflist_K = J(1, G_extended, .) + for (g=1; g<=G; g++) { + i = offsets[g] + j = g==G ? G_extended : offsets[g+1] + doflist_K[i..j] = J(1, j-i+1, factors[g].num_levels) + } + df_a_initial = sum(doflist_K) + df_a_redundant = sum(doflist_M) + df_a = df_a_initial - df_a_redundant +} + + + +`Void' FixedEffects::prune_1core() +{ + // Note that we can't prune degree-2 nodes, or the graph stops being bipartite + `Integer' i, j, g + `Vector' subgraph_id + + `Vector' idx + `RowVector' i_prune + + // For now; too costly to use prune for G=3 and higher + // (unless there are *a lot* of degree-1 vertices) + if (G!=2) return //assert_msg(G==2, "G==2") // bugbug remove? + + // Abort if the user set HDFE.prune = 0 + if (!prune) return + + // Pick two factors, and check if we really benefit from pruning + prune = 0 + i_prune = J(1, 2, 0) + for (g=i=1; g<=2; g++) { + //if (intercepts[g] & !num_slopes[g] & factors[g].num_levels>100) { + if (intercepts[g] & !num_slopes[g]) { + i_prune[i++] = g // increments at the end + if (i > 2) { // success! + prune = 1 + break + } + } + } + + if (!prune) return + + // for speed, the factor with more levels goes first + i = i_prune[1] + j = i_prune[2] + //if (factors[i].num_levels < factors[j].num_levels) swap(i, j) // bugbug uncomment it! + prune_g1 = i + prune_g2 = j + + bg = BipartiteGraph() + bg.init(&factors[prune_g1], &factors[prune_g2], verbose) + (void) bg.init_zigzag(1) // 1 => save subgraphs into bg.subgraph_id + bg.compute_cores() + bg.prune_1core(weight) + num_pruned = bg.N_drop +} + +// bugbug fix or remove this fn altogether +`Void' FixedEffects::_expand_1core(`Variables' y) +{ + y = bg.expand_1core(y) +} + + +`Void' FixedEffects::save_touse(| `Varname' touse, `Boolean' replace) +{ + `Integer' idx + `Vector' mask + + // Set default arguments + if (args()<1 | touse=="") { + assert(tousevar != "") + touse = tousevar + } + // Note that args()==0 implies replace==1 (else how would you find the name) + if (args()==0) replace = 1 + if (args()==1 | replace==.) replace = 0 + + if (verbose > 0) printf("\n{txt}## Saving e(sample)\n") + + // Compute dummy vector + mask = create_mask(st_nobs(), 0, sample, 1) + + // Save vector as variable + if (replace) { + st_store(., touse, mask) + } + else { + idx = st_addvar("byte", touse, 1) + st_store(., idx, mask) + } +} + + +`Void' FixedEffects::save_variable(`Varname' varname, + `Variables' data, + | `Varlist' varlabel) +{ + `RowVector' idx + `Integer' i + idx = st_addvar("double", tokens(varname)) + st_store(sample, idx, data) + if (args()>=3 & varlabel!="") { + for (i=1; i<=cols(data); i++) { + st_varlabel(idx[i], varlabel[i]) + } + } + +} + + + +`Void' FixedEffects::post_footnote() +{ + `Matrix' table + `StringVector' rowstripe + `StringRowVector' colstripe + `String' text + + assert(!missing(G)) + st_numscalar("e(N_hdfe)", G) + st_numscalar("e(N_hdfe_extended)", G_extended) + st_numscalar("e(df_a)", df_a) + st_numscalar("e(df_a_initial)", df_a_initial) + st_numscalar("e(df_a_redundant)", df_a_redundant) + st_numscalar("e(df_a_nested)", df_a_nested) + st_global("e(dofmethod)", invtokens(dofadjustments)) + + if (absvars == "") { + absvars = extended_absvars = "_cons" + } + + st_global("e(absvars)", invtokens(absvars)) + text = invtokens(extended_absvars) + text = subinstr(text, "1.", "") + st_global("e(extended_absvars)", text) + + // Absorbed degrees-of-freedom table + table = (doflist_K \ doflist_M \ (doflist_K-doflist_M) \ !doflist_M_is_exact \ doflist_M_is_nested)' + rowstripe = extended_absvars' + rowstripe = J(rows(table), 1, "") , extended_absvars' // add equation col + colstripe = "Categories" \ "Redundant" \ "Num Coefs" \ "Exact?" \ "Nested?" // colstripe cannot have dots on Stata 12 or earlier + colstripe = J(cols(table), 1, "") , colstripe // add equation col + st_matrix("e(dof_table)", table) + st_matrixrowstripe("e(dof_table)", rowstripe) + st_matrixcolstripe("e(dof_table)", colstripe) + + st_numscalar("e(ic)", iteration_count) + st_numscalar("e(drop_singletons)", drop_singletons) + st_numscalar("e(num_singletons)", num_singletons) + st_numscalar("e(N_full)", st_numscalar("e(N)") + num_singletons) + + // Prune specific + if (prune==1) { + st_numscalar("e(pruned)", 1) + st_numscalar("e(num_pruned)", num_pruned) + } + + if (!missing(finite_condition)) st_numscalar("e(finite_condition)", finite_condition) +} + + +`Void' FixedEffects::post() +{ + `String' text + `Integer' i + + post_footnote() + + // ---- constants ------------------------------------------------------- + + st_global("e(predict)", "reghdfe_p") + st_global("e(estat_cmd)", "reghdfe_estat") + st_global("e(footnote)", "reghdfe_footnote") + //st_global("e(marginsok)", "") + st_global("e(marginsnotok)", "Residuals SCore") + st_numscalar("e(df_m)", df_m) + + + assert(title != "") + text = sprintf("HDFE %s", title) + st_global("e(title)", text) + + text = sprintf("Absorbing %g HDFE %s", G, plural(G, "group")) + st_global("e(title2)", text) + + st_global("e(model)", model) + st_global("e(cmdline)", cmdline) + + st_numscalar("e(tss)", tss) + st_numscalar("e(tss_within)", tss_within) + st_numscalar("e(rss)", rss) + st_numscalar("e(mss)", tss - rss) + st_numscalar("e(rmse)", rmse) + st_numscalar("e(F)", F) + + st_numscalar("e(ll)", ll) + st_numscalar("e(ll_0)", ll_0) + + st_numscalar("e(r2)", r2) + st_numscalar("e(r2_within)", r2_within) + st_numscalar("e(r2_a)", r2_a) + st_numscalar("e(r2_a_within)", r2_a_within) + + if (!missing(N_clust)) { + st_numscalar("e(N_clust)", N_clust) + for (i=1; i<=num_clusters; i++) { + text = sprintf("e(N_clust%g)", i) + st_numscalar(text, N_clust_list[i]) + } + text = "Statistics robust to heteroskedasticity" + st_global("e(title3)", text) + } + + if (!missing(sumweights)) st_numscalar("e(sumweights)", sumweights) + + st_numscalar("e(report_constant)", compute_constant & report_constant) + + + // ---- .options properties --------------------------------------------- + + st_global("e(depvar)", depvar) + st_global("e(indepvars)", invtokens(indepvars)) + + if (!missing(N_clust)) { + st_numscalar("e(N_clustervars)", num_clusters) + st_global("e(clustvar)", invtokens(clustervars)) + for (i=1; i<=num_clusters; i++) { + text = sprintf("e(clustvar%g)", i) + st_global(text, clustervars[i]) + } + } + + if (residuals != "") { + st_global("e(resid)", residuals) + } + + // Stata uses e(vcetype) for the SE column headers + // In the default option, leave it empty. + // In the cluster and robust options, set it as "Robust" + text = strproper(vcetype) + if (text=="Cluster") text = "Robust" + if (text=="Unadjusted") text = "" + assert(anyof( ("", "Robust", "Jackknife", "Bootstrap") , text)) + if (text!="") st_global("e(vcetype)", text) + + text = vcetype + if (text=="unadjusted") text = "ols" + st_global("e(vce)", text) + + // Weights + if (weight_type != "") { + st_global("e(wexp)", "= " + weight_var) + st_global("e(wtype)", weight_type) + } +} + + +// -------------------------------------------------------------------------- +// Recreate HDFE object +// -------------------------------------------------------------------------- +`FixedEffects' FixedEffects::reload(`Boolean' copy) +{ + `FixedEffects' ans + assert(copy==0 | copy==1) + + // Trim down current object as much as possible + // this. is optional but useful for clarity + if (copy==0) { + this.factors = Factor() + this.sample = . + this.bg = BipartiteGraph() + this.pruned_weight = . + this.rre_varname = . + this.rre_true_residual = . + } + + // Initialize new object + ans = fixed_effects(this.absorb, this.tousevar, this.weight_type, this.weight_var, this.drop_singletons, this.verbose) + + // Fill out new object with values of current one + ans.depvar = this.depvar + ans.indepvars = this.indepvars + ans.varlist = this.varlist + ans.model = this.model + ans.vcetype = this.vcetype + ans.num_clusters = this.num_clusters + ans.clustervars = this.clustervars + ans.base_clustervars = this.base_clustervars + ans.vceextra = this.vceextra + ans.summarize_stats = this.summarize_stats + ans.summarize_quietly = this.summarize_quietly + ans.notes = this.notes + ans.store_sample = this.store_sample + ans.timeit = this.timeit + ans.compact = this.compact + ans.poolsize = this.poolsize + ans.diopts = this.diopts + + ans.fullindepvars = this.fullindepvars + ans.not_basevar = this.not_basevar + + ans.compute_constant = this.compute_constant + ans.report_constant = this.report_constant + ans.tolerance = this.tolerance + ans.save_any_fe = this.save_any_fe + + ans.slope_method = this.slope_method + ans.maxiter = this.maxiter + ans.transform = this.transform + ans.acceleration = this.acceleration + ans.accel_start = this.accel_start + ans.conlim = this.conlim + ans.btol = this.btol + ans.min_ok = this.min_ok + ans.prune = this.prune + ans.always_run_lsmr_preconditioner = this.always_run_lsmr_preconditioner + + return(ans) +} + + +// -------------------------------------------------------------------------- +// Estimate finite condition number of the graph Laplacian +// -------------------------------------------------------------------------- +`Void' FixedEffects::estimate_cond() +{ + `Matrix' D1, D2, L + `Vector' lambda + `RowVector' tmp + `Factor' F12 + + if (finite_condition!=-1) return + + if (verbose > 0) printf("\n{txt}## Computing finite condition number of the Laplacian\n\n") + + if (verbose > 0) printf("{txt} - Constructing vectors of levels\n") + F12 = join_factors(factors[1], factors[2], ., ., 1) + + // Non-sparse (lots of memory usage!) + if (verbose > 0) printf("{txt} - Constructing design matrices\n") + D1 = designmatrix(F12.keys[., 1]) + D2 = designmatrix(F12.keys[., 2]) + assert_msg(rows(D1)<=2000, "System is too big!") + assert_msg(rows(D2)<=2000, "System is too big!") + + if (verbose > 0) printf("{txt} - Constructing graph Laplacian\n") + L = D1' * D1 , - D1' * D2 \ + - D2' * D1 , D2' * D2 + if (verbose > 0) printf("{txt} - L is %g x %g \n", rows(L), rows(L)) + + if (verbose > 0) printf("{txt} - Computing eigenvalues\n") + assert_msg(rows(L)<=2000, "System is too big!") + eigensystem(L, ., lambda=.) + lambda = Re(lambda') + + if (verbose > 0) printf("{txt} - Selecting positive eigenvalues\n") + lambda = edittozerotol(lambda, 1e-8) + tmp = select(lambda, edittozero(lambda, 1)) + tmp = minmax(tmp) + finite_condition = tmp[2] / tmp[1] + + if (verbose > 0) printf("{txt} - Finite condition number: {res}%s{txt}\n", strofreal(finite_condition)) +} + + +`Real' FixedEffects::lsmr_norm(`Matrix' x) +{ + assert(cols(x)==1 | rows(x)==1) + // BUGBUG: what if we have a corner case where there are as many obs as params? + if (has_weights & cols(x)==1 & rows(x)==rows(weight)) { + return(sqrt(quadcross(x, weight, x))) + } + else if (cols(x)==1) { + return(sqrt(quadcross(x, x))) + } + else { + return(sqrt(quadcross(x', x'))) + } +} + + +// Ax: given the coefs 'x', return the projection 'Ax' +`Vector' FixedEffects::lsmr_A_mult(`Vector' x) +{ + `Integer' g, k, idx_start, idx_end, i + `Vector' ans + `FactorPointer' pf + + ans = J(N, 1, 0) + idx_start = 1 + + for (g=1; g<=G; g++) { + pf = &(factors[g]) + k = (*pf).num_levels + + if (intercepts[g]) { + idx_end = idx_start + k - 1 + ans = ans + (x[|idx_start, 1 \ idx_end , 1 |] :* asarray((*pf).extra, "precond_intercept") )[(*pf).levels, .] + idx_start = idx_end + 1 + } + + if (num_slopes[g]) { + for (i=1; i<=num_slopes[g]; i++) { + idx_end = idx_start + k - 1 + ans = ans + x[|idx_start, 1 \ idx_end , 1 |][(*pf).levels] :* asarray((*pf).extra, "precond_slopes") + idx_start = idx_end + 1 + } + } + + } + //assert(!missing(ans)) + return(ans) +} + + +// A'x: Compute the FEs and store them in a big stacked vector +`Vector' FixedEffects::lsmr_At_mult(`Vector' x) +{ + `Integer' m, g, i, idx_start, idx_end, k + `Vector' ans + `FactorPointer' pf + `Vector' alphas + `Matrix' tmp_alphas + + alphas = J(M, 1, .) + idx_start = 1 + + for (g=1; g<=G; g++) { + pf = &(factors[g]) + k = (*pf).num_levels + + if (intercepts[g]) { + idx_end = idx_start + k - 1 + if (has_weights) { + alphas[| idx_start , 1 \ idx_end , 1 |] = `panelsum'((*pf).sort(x :* weight), (*pf).info) :* asarray((*pf).extra, "precond_intercept") + } + else { + alphas[| idx_start , 1 \ idx_end , 1 |] = `panelsum'((*pf).sort(x), (*pf).info) :* asarray((*pf).extra, "precond_intercept") + } + idx_start = idx_end + 1 + } + + if (num_slopes[g]) { + idx_end = idx_start + k * num_slopes[g] - 1 + if (has_weights) { + tmp_alphas = `panelsum'((*pf).sort(x :* weight :* asarray((*pf).extra, "precond_slopes")), (*pf).info) + } + else { + tmp_alphas = `panelsum'((*pf).sort(x :* asarray((*pf).extra, "precond_slopes")), (*pf).info) + } + alphas[| idx_start , 1 \ idx_end , 1 |] = vec(tmp_alphas) + idx_start = idx_end + 1 + } + } + //assert(!missing(alphas)) + return(alphas) +} + +end diff --git a/30/replication_package/Adofiles/reghdfe_2019/reghdfe_common.mata b/30/replication_package/Adofiles/reghdfe_2019/reghdfe_common.mata new file mode 100644 index 0000000000000000000000000000000000000000..664c7232e82a2ee88922ac007fe00394eedac5db --- /dev/null +++ b/30/replication_package/Adofiles/reghdfe_2019/reghdfe_common.mata @@ -0,0 +1,838 @@ +// Common functions --------------------------------------------------------- +mata: + +// -------------------------------------------------------------------------- +// BUGBUG: not sure if this is still used... +// -------------------------------------------------------------------------- +`StringRowVector' clean_tokens(`String' vars) +{ + `StringRowVector' ans + `Integer' i + ans = tokens(vars) + for (i=1; i<=cols(ans); i++) { + ans[i] = invtokens(tokens(ans[i])) + } + return(ans) +} + + +// -------------------------------------------------------------------------- +// Workaround to st_data's odd behavior +// -------------------------------------------------------------------------- +// This does three things: +// 1) Wrap up interactions in parens (up to four) to avoid Stata's quirk/bug +// 2) If issue persists, load columns one-by-one +// 1) Instead of returning it reuses existing matrices (might use less mem?) +// +// Example of the issue: +// sysuse auto, clear +// mata: cols(st_data(., "1.rep78 2.rep78 3.rep78#1.foreign")) // expected 3, got 6 +// Happens b/c st_data doesn't work variable by variable but expands the interactions +// We can partly fix it by surrounding interactions with parens +// But st_data() only supports up to 4 parens + + +`Void' _st_data_wrapper(`Variables' index, `StringRowVector' vars, `Variables' data, `Boolean' verbose) +{ + `RowVector' is_interaction + `StringRowVector' fixed_vars + `Integer' i, k + + vars = tokens(invtokens(vars)) + + // Add parenthesis only for Stata 11-14, as on Stata 15+ they are i) not needed and ii) corrupt output + // For i) see "help set fvtrack" + // For ii) see "test/stdata3.do" on Github + if (st_numscalar("c(stata_version)") < 15) { + is_interaction = strpos(vars, "#") :> 0 + is_interaction = is_interaction :& (runningsum(is_interaction) :<= 4) // Only up to 4 parenthesis supported + fixed_vars = subinstr(strofreal(is_interaction), "0", "") + fixed_vars = subinstr(fixed_vars, "1", "(") :+ vars :+ subinstr(fixed_vars, "1", ")") + } + else { + fixed_vars = vars + } + + // Override code above, to minimize any risk of incorrect data + // Since this is an undocumented feature, it might or might not work on some older versions of Stata + // (See also email from jpitblado@stata.com) + fixed_vars = vars + + data = st_data(index, fixed_vars) + k = cols(vars) + + if (cols(data) > k) { + if (verbose > 0) printf("{err}(some empty columns were added due to a bug/quirk in {bf:st_data()}; %g cols created instead of %g for {it:%s}; running slower workaround)\n", cols(data), k, invtokens(vars)) + data = J(rows(data), 0, .) + for (i=1; i<=k; i++) { + data = data, st_data(index, vars[i]) + } + } + assert(cols(data)==k) +} + + +// -------------------------------------------------------------------------- +// Each col of A will have stdev of 1 unless stdev is quite close to 0 +// -------------------------------------------------------------------------- +`RowVector' function reghdfe_standardize(`Matrix' A) +{ + `RowVector' stdevs, means + `Integer' K, N // i, + + // We don't need to good accuracy for the stdevs, so we have a few alternatives: + // Note: cross(1,A) is the same as colsum(A), but faster + // Note: cross(A, A) is very fast, but we only need the main diagonals + // [A: 1sec] stdevs = sqrt( (colsum(A:*A) - (cross(1, A) :^ 2 / N)) / (N-1) ) + // [B: .61s] stdevs = sqrt( (diagonal(cross(A, A))' - (cross(1, A) :^ 2 / N)) / (N-1) ) + // [C: .80s] stdevs = diagonal(sqrt(variance(A)))' + // [D: .67s] means = cross(1, A) / N; stdevs = sqrt(diagonal(crossdev(A, means, A, means))' / (N-1)) + + assert_msg(!isfleeting(A), "input cannot be fleeting") + N = rows(A) + K = cols(A) + + stdevs = J(1, K, .) + + // (A) Very precise + + // (B) Precise + // means = cross(1, A) / N + // stdevs = sqrt(diagonal(quadcrossdev(A, means, A, means))' / (N-1)) + + // (C) 20% faster; don't use it if you care about accuracy + stdevs = sqrt( (diagonal(cross(A, A))' - (cross(1, A) :^ 2 / N)) / (N-1) ) + assert_msg(!missing(stdevs), "stdevs are missing; is N==1?") // Shouldn't happen as we don't expect N==1 + stdevs = colmax(( stdevs \ J(1, K, 1e-3) )) + A = A :/ stdevs + + // (D) Equilibrate matrix columns instead of standardize (i.e. just divide by column max) + // _perhapsequilc(A, stdevs=.) + // stdevs = 1 :/ stdevs + // assert_msg(!missing(stdevs), "stdevs are missing; is N==1?") + + // (E) Don't do anything + // stdevs = J(1, cols(A), 1) + + return(stdevs) +} + + +// -------------------------------------------------------------------------- +// Divide two row vectors but adjust the denominator if it's too small +// -------------------------------------------------------------------------- +`RowVector' safe_divide(`RowVector' numerator, `RowVector' denominator, | `Real' epsi) { + // If the numerator goes below machine precision, we lose accuracy + // If the denominator goes below machine precision, the division explodes + if (args()<3 | epsi==.) epsi = epsilon(1) + return( numerator :/ colmax(denominator \ J(1,cols(denominator),epsi)) ) +} + + +// If X is not square... +// `Matrix' R +// real colvector tau, p + +// _hqrdp(A, tau, R, p=.) +// B = hqrdmultq1t(A, tau, B) +// rank = _solveupper(R, B, tol) +// B = B[invorder(p),.] +// +- +- + +// invsym(makesymmetric(..)) + + + + + +// -------------------------------------------------------------------------- +// Robust solver for Ax=b +// -------------------------------------------------------------------------- +// Mata utility for sequential use of solvers +// Default is cholesky; +// if that fails, use QR; +// if overridden, use QR. +// Author: Schaffer, Mark E +// -------------------------------------------------------------------------- +// Warning: +// cholqrsolve calls qrsolve which calls _qrsolve which calls ... +// Does all the indirection makes it too slow to use within a panel? +// -------------------------------------------------------------------------- +`Matrix' function reghdfe_cholqrsolve(`Matrix' A, + `Matrix' B, + | `Boolean' useqr) +{ + `Matrix' C + if (args()<3 | useqr==.) useqr = 0 + + if (!useqr) { + C = cholsolve(A, B) + if (hasmissing(C)) useqr = 1 + } + + if (useqr) { + C = qrsolve(A, B) + } + + return(C) +} + + +// -------------------------------------------------------------------------- +// OLS Regression +// -------------------------------------------------------------------------- +`Void' function reghdfe_post_ols(`FixedEffects' S, + `Variables' X, + `String' bname, + `String' Vname, + `String' nname, + `String' rname, + `String' dfrname) +{ + `Integer' N + `Integer' rank + `Integer' df_r + `Vector' b + `Matrix' V + `Variable' resid + `Real' eps + `Integer' i + `RowVector' kept + `Vector' not_basevar + + + `Vector' idx + `Vector' temp_b + `Matrix' temp_V + `Integer' k + + if (S.timeit) timer_on(90) + reghdfe_solve_ols(S, X, b=., V=., N=., rank=., df_r=., resid=., kept=., "vce_small") + assert(cols(X) - 1 == rows(b) - S.compute_constant) // The 1st column of X is actually Y + assert((rows(b) == rows(V)) & (rows(b) == cols(V))) + if (S.timeit) timer_off(90) + + // Add base vars + if (S.compute_constant) { + if (S.verbose > 1) printf("\n{txt}## Adding _cons to varlist\n") + assert_msg(rows(S.not_basevar) == 1, "rows(S.not_basevar) == 1") + S.not_basevar = S.not_basevar, 1 + S.fullindepvars = S.fullindepvars + " _cons" + S.indepvars = S.indepvars + " _cons" + } + if (S.not_basevar != J(1, 0, .)) { + if (S.verbose > 1) printf("\n{txt}## Adding base variables to varlist\n") + k = cols(S.not_basevar) + assert_msg(cols(S.not_basevar) == k, "cols(S.not_basevar) == k") + idx = `selectindex'(S.not_basevar) + swap(b, temp_b) + swap(V, temp_V) + b = J(k, 1, 0) + V = J(k, k, 0) + b[idx, 1] = temp_b + V[idx, idx] = temp_V + } + + st_matrix(bname, b') + + if (S.verbose > 1) printf("\n{txt}## Reporting omitted variables\n") + // Add "o." prefix to omitted regressors + eps = sqrt(epsilon(1)) + for (i=1; i<=rows(b); i++) { + if (b[i]==0 & S.not_basevar[i] & S.verbose > -1) { + printf("{txt}note: %s omitted because of collinearity\n", tokens(S.fullindepvars)[i]) + //stata(sprintf("_ms_put_omit %s", indepvars[i])) + //indepvars[i] = st_global("s(ospec)") + // This is now one in reghdfe.ado with -_ms_findomitted- + } + } + + st_matrix(Vname, V) + st_numscalar(nname, N) + st_numscalar(rname, rank) + st_numscalar(dfrname, df_r) + + // Need to save resids if saving FEs, even if temporarily + if (S.residuals == "" & S.save_any_fe) { + S.residuals = "__temp_reghdfe_resid__" + } + + if (S.residuals != "") { + if (S.verbose > 0) printf("\n{txt}## Storing residuals in {res}%s{txt}\n\n", S.residuals) + if (S.compact == 1) { + S.residuals_vector = resid + } + else { + S.save_variable(S.residuals, resid, "Residuals") + } + } +} + + +`Void' function reghdfe_solve_ols(`FixedEffects' S, + `Variables' X, + `Vector' b, + `Matrix' V, + `Integer' N, + `Integer' rank, + `Integer' df_r, + `Vector' resid, + `RowVector' kept, + `String' vce_mode, + | `Variable' true_w) +{ + // Hack: the first col of X is actually y! + `Integer' K, KK, tmp_N + `Matrix' xx, inv_xx, W, inv_V, just_X + `Vector' w + `Integer' used_df_r + `Integer' dof_adj + + `Boolean' is_standardized + `Real' stdev_y + `RowVector' stdev_x + + if (true_w == . | args() < 11) true_w = J(0, 1, .) + if (S.vcetype == "unadjusted" & S.weight_type=="pweight") S.vcetype = "robust" + if (S.verbose > 0) printf("\n{txt}## Solving least-squares regression of partialled-out variables\n\n") + assert_in(vce_mode, ("vce_none", "vce_small", "vce_asymptotic")) + + is_standardized = S.all_stdevs != J(1, 0, .) + if (is_standardized) S.means = S.means :/ S.all_stdevs + + // Weight FAQ: + // - fweight: obs. i represents w[i] duplicate obs. (there is no loss of info wrt to having the "full" dataset) + // - aweight: obs. i represents w[i] distinct obs. that were mean-collapsed (so there is loss of info and hetero) + // soln: normalize them so they sum to N (the true number of obs in our sample), and then treat them as fweight + // - pweight: each obs. represents only one obs. from the pop, that was drawn from w[i] individuals + // we want to make inference on the population, so if we interviewed 100% of the men and only 10% of women, + // then without weighting we would be over-representing men, which leads to a loss of efficiency +-+- + // it is the same as aweight + robust + // We need to pick N and w + N = rows(X) // Default; will change with fweights + S.sumweights = S.weight_type != "" ? quadsum(S.weight) : N + assert(rows(S.means) == 1) + assert(cols(S.means) == cols(X)) + + w = 1 + if (rows(true_w)) { + // Custom case for IRLS (ppmlhdfe) where S.weight = mu * true_w + assert_msg(S.weight_type == "aweight") + N = sum(true_w) + w = S.weight * sum(true_w) / sum(S.weight) + } + else if (S.weight_type=="fweight") { + N = S.sumweights + w = S.weight + } + else if (S.weight_type=="aweight" | S.weight_type=="pweight") { + w = S.weight * (N / S.sumweights) + } + + // Build core matrices + if (S.timeit) timer_on(91) + + K = cols(X) - 1 + xx = quadcross(X, w, X) + S.tss_within = xx[1,1] + xx = K ? xx[| 2 , 2 \ K+1 , K+1 |] : J(0, 0, .) + if (S.timeit) timer_off(91) + + // This matrix indicates what regressors are not collinear + assert_msg(cols(S.kept)==K+1, "partial_out() was run with a different set of vars") + + // Bread of the robust VCV matrix + // Compute this early so we can update the list of collinear regressors + if (S.timeit) timer_on(95) + assert_msg( cols(tokens(invtokens(S.indepvars)))==cols(xx) , "HDFE.indepvars is missing or has the wrong number of columns") + inv_xx = reghdfe_rmcoll(tokens(invtokens(S.indepvars)), xx, kept) // this modifies -kept- + + // // Workaround for case with extremely high weights, where ivnsym loses precision and incorrectly excludes vars + // if (S.has_weights) { + // if (max(S.weight) > 1e5) { + // kept = (1..K) + // } + // } + + S.df_m = rank = K - diag0cnt(inv_xx) + KK = S.df_a + S.df_m + S.df_r = N - KK // replaced when clustering + if (S.timeit) timer_off(95) + + // Compute betas + // - There are two main options + // a) Use cholqrsolve on xx and xy. Faster but numerically inaccurate + // See: http://www.stata.com/statalist/archive/2012-02/msg00956.html + // b) Use qrsolve. More accurate but doesn't handle weights easily + // - Ended up doing (b) with a hack for weights + b = J(K, 1, 0) + if (cols(kept)) { + if (S.has_weights) { + b[kept] = qrsolve(X[., 1:+kept] :* sqrt(S.weight), X[., 1] :* sqrt(S.weight)) + } + else { + b[kept] = qrsolve(X[., 1:+kept], X[., 1]) + } + } + + if (S.timeit) timer_on(92) + if (!isfleeting(resid) | vce_mode != "vce_none") resid = X * (1 \ -b) // y - X * b + if (S.timeit) timer_off(92) + + if (S.compute_constant) { + tmp_N = (S.weight_type=="aweight" | S.weight_type=="pweight") ? N : S.sumweights + if (rows(true_w)) tmp_N = N + reghdfe_extend_b_and_inv_xx(S.means, tmp_N, b, inv_xx) + } + + // Stop if no VCE/R2/RSS needed + if (vce_mode == "vce_none") { + assert(!is_standardized) + return + } + + if (S.timeit) timer_on(93) + if (S.vcetype != "unadjusted") { + if (S.compute_constant) { + if (isfleeting(X)) { + // Save some memory... unsure if it helps + swap(just_X, X) + just_X = K ? just_X[., 2..K+1] :+ S.means[2..cols(S.means)] : J(rows(just_X), 0, .) + } + else { + just_X = K ? X[., 2..K+1] :+ S.means[2..cols(S.means)] : J(rows(X), 0, .) + } + } + else { + just_X = K ? X[., 2..K+1] : J(rows(X), 0, .) + } + } + if (S.timeit) timer_off(93) + + if (S.timeit) timer_on(94) + S.rss = quadcross(resid, w, resid) // do before reghdfe_robust() modifies w + if (S.timeit) timer_off(94) + + // Compute full VCE + if (S.timeit) timer_on(96) + assert_msg(anyof( ("unadjusted", "robust", "cluster") , S.vcetype), "invalid vcetype" + S.vcetype) + if (S.vcetype == "unadjusted") { + if (S.verbose > 0) { + printf("{txt} - Small-sample-adjustment: q = N / (N-df_m-df_a) = %g / (%g - %g - %g) = %g\n", N, N, rank, S.df_a, N / S.df_r ) + } + dof_adj = N / S.df_r + if (vce_mode == "vce_asymptotic") dof_adj = N / (N-1) // 1.0 + V = (S.rss / N) * dof_adj * inv_xx + } + else if (S.vcetype == "robust") { + V = reghdfe_robust(S, just_X, inv_xx, resid, w, N, KK, vce_mode, true_w) + } + else { + V = reghdfe_cluster(S, just_X, inv_xx, resid, w, N, KK, vce_mode) + } + if (S.timeit) timer_off(96) + + // Wald test: joint significance + if (S.timeit) timer_on(97) + inv_V = invsym(V[kept, kept]) // this might not be of full rank but numerical inaccuracies hide it + if (diag0cnt(inv_V)) { + if (S.verbose > -1) printf("{txt}warning: missing F statistic; dropped variables due to collinearity or too few clusters\n") + W = . + } + else if (length(b[kept])==0) { + W = . + } + else { + // We could probably do this with the simpler formula instead of Wald + W = b[kept]' * inv_V * b[kept] / S.df_m + if (missing(W) & S.verbose > -1) printf("{txt}warning: missing F statistic\n") + } + if (S.timeit) timer_off(97) + + // V can be missing if b is completely absorbed by the FEs + if (missing(V)) { + if (S.verbose > 0) printf("{txt} - VCE has missing values, setting it to zeroes (are your regressors all collinear?)\n") + V = J(rows(V), rows(V), 0) + } + + // Undo standardization + if (is_standardized) { + // Sanity checks + assert(rows(S.all_stdevs)==1) + assert(cols(S.all_stdevs) - 1 == rows(b) - S.compute_constant) // Subtract "y" on left; subtract "_cons" on right + + // Recover stdevs + stdev_y = S.all_stdevs[1] + stdev_x = K ? S.all_stdevs[2..cols(S.all_stdevs)] : J(1, 0, .) + if (S.compute_constant) stdev_x = stdev_x, 1 + stdev_x = stdev_x :/ stdev_y + + // Transform output (note that S.tss is already ok) + S.rss = S.rss * stdev_y ^ 2 + S.tss_within = S.tss_within * stdev_y ^ 2 + resid = resid * stdev_y + V = V :/ (stdev_x' * stdev_x) + b = b :/ stdev_x' + } + + // Results + S.title = "Linear regression" + // S.model = "ols" + used_df_r = N - KK - S.df_a_nested + S.r2 = 1 - S.rss / S.tss + S.r2_a = 1 - (S.rss / used_df_r) / (S.tss / (N - S.has_intercept ) ) + S.r2_within = 1 - S.rss / S.tss_within + S.r2_a_within = 1 - (S.rss / used_df_r) / (S.tss_within / (used_df_r + rank)) + + S.ll = - 0.5 * N * (1 + ln(2 * pi()) + ln(S.rss / N)) + S.ll_0 = - 0.5 * N * (1 + ln(2 * pi()) + ln(S.tss_within / N)) + + S.rmse = sqrt(S.rss / used_df_r) + if (used_df_r==0) S.rmse = sqrt(S.rss) + S.F = W + df_r = S.df_r // reghdfe_cluster might have updated it (this gets returned to the caller function) +} + + +// -------------------------------------------------------------------------- +// Robust VCE +// -------------------------------------------------------------------------- +// Advice: Delegate complicated regressions to -avar- and specialized routines +// BUGBUG: do we standardize X again? so V is well behaved? +// Notes: +// - robust is the same as cluster robust where cluster==_n +// - cluster just "collapses" X_i * e_i for each group, and builds M from that + +`Matrix' reghdfe_robust(`FixedEffects' S, + `Variables' X, + `Matrix' D, + `Variable' resid, + `Variable' w, + `Integer' N, + `Integer' K, + `String' vce_mode, + `Variable' true_w) +{ + `Matrix' M, V + `Integer' dof_adj + + if (S.verbose > 0) printf("\n{txt}## Estimating Robust Variance-Covariance Matrix of the Estimators (VCE)\n\n") + if (S.verbose > 0) printf("{txt} - VCE type: {res}%s{txt}\n", S.vcetype) + if (S.verbose > 0) printf("{txt} - Weight type: {res}%s{txt}\n", S.weight_type=="" ? "" : S.weight_type) + + if (rows(true_w)) { + assert(S.weight_type=="aweight") + w = (resid :* w) :^ 2 :/ true_w // resid^2 * aw^2 * fw + } + else if (S.weight_type=="") { + w = resid :^ 2 + } + else if (S.weight_type=="fweight") { + w = resid :^ 2 :* w + } + else if (S.weight_type=="aweight" | S.weight_type=="pweight") { + w = (resid :* w) :^ 2 + } + + dof_adj = N / (N - K) + if (vce_mode == "vce_asymptotic") dof_adj = N / (N-1) // 1.0 + M = S.compute_constant ? quadcross(X, 1, w, X, 1) : quadcross(X, w, X) + if (S.verbose > 0) { + printf("{txt} - Small-sample-adjustment: q = N / (N-df_m-df_a) = %g / (%g - %g - %g) = %g\n", N, N, K-S.df_a, S.df_a, N / (N-K) ) + } + V = D * M * D * dof_adj + return(V) +} + +`Matrix' reghdfe_cluster(`FixedEffects' S, + `Variables' X, + `Matrix' D, + `Variable' resid, + `Variable' w, + `Integer' N, + `Integer' K, + `String' vce_mode) +{ + `Matrix' M, V + `Integer' dof_adj, N_clust, df_r, nested_adj + `Integer' Q, q, g, sign, i, j + pointer(`Factor') rowvector FPlist + `FactorPointer' FP + `Varlist' vars + `String' var, var_with_spaces + `Boolean' clustervar_is_absvar, required_fix + `Matrix' tuples + `RowVector' tuple + `RowVector' N_clust_list + `Matrix' joined_levels + `Integer' Msize + + w = resid :* w + Msize = cols(X) + S.compute_constant + + vars = S.clustervars + Q = cols(vars) + if (S.verbose > 0) printf("\n{txt}## Estimating Cluster Robust Variance-Covariance Matrix of the Estimators (VCE)\n\n") + if (S.verbose > 0) printf("{txt} - VCE type: {res}%s{txt} (%g-way clustering)\n", S.vcetype, Q) + if (S.verbose > 0) printf("{txt} - Cluster variables: {res}%s{txt}\n", invtokens(vars)) + if (S.verbose > 0) printf("{txt} - Weight type: {res}%s{txt}\n", S.weight_type=="" ? "" : S.weight_type) + assert_msg(0 < Q & Q < 10) + + // Get or build factors associated with the clustervars + FPlist = J(1, Q, NULL) + N_clust_list = J(1, Q, .) + for (q=1; q<=Q; q++) { + var = vars[q] + clustervar_is_absvar = 0 + for (g=1; g<=S.G; g++) { + if (invtokens(S.factors[g].varlist, "#") == var) { + clustervar_is_absvar = 1 + FP = &(S.factors[g]) + break + } + } + var_with_spaces = subinstr(var, "#", " ") + if (!clustervar_is_absvar) FP = &(factor(var_with_spaces, S.sample, ., "", ., ., ., 0)) + N_clust_list[q] = (*FP).num_levels + if (S.verbose > 0) printf("{txt} - {res}%s{txt} has {res}%g{txt} levels\n", var, N_clust_list[q]) + FPlist[q] = FP + } + + // Build the meat part of the V matrix + if (S.verbose > 0) printf("{txt} - Computing the 'meat' of the VCE\n") + M = J(Msize, Msize, 0) + tuples = . + for (q=1; q<=Q; q++) { + tuples = reghdfe_choose_n_k(Q, q, tuples) + sign = mod(q, 2) ? 1 : -1 // + with odd number of variables, - with even + for (j=1; j<=rows(tuples); j++) { + tuple = tuples[j, .] + if (S.verbose > 0) printf("{txt} - Level %g/%g; sublevel %g/%g; M = M %s ClusterVCE(%s)\n", q, Q, j, rows(tuples), sign > 0 ? "+" : "-" , invtokens(strofreal(tuple))) + if (q==1) { + assert(tuple==j) + FP = FPlist[j] + } + else if (q==2) { + FP = &join_factors( *FPlist[tuple[1]] , *FPlist[tuple[2]] , ., ., 1) + } + else { + joined_levels = (*FPlist[tuple[1]]).levels + for (i=2; i<=cols(tuple); i++) { + joined_levels = joined_levels, (*FPlist[tuple[i]]).levels + } + FP = &_factor(joined_levels, ., ., "", ., ., ., 0) + } + M = M + sign * reghdfe_vce_cluster_meat(FP, X, w, Msize, S.compute_constant) + } + } + + // Build VCE + N_clust = min(N_clust_list) + nested_adj = (S.df_a==0) // minor adj. so we match xtreg when the absvar is nested within cluster + // (when ..nested.., df_a is zero so we divide N-1 by something that can potentially be N (!)) + // so we either add the 1 back, or change the numerator (and the N_clust-1 factor!) + dof_adj = (N - 1) / (N - nested_adj - K) * N_clust / (N_clust - 1) // adjust for more than 1 cluster + if (vce_mode == "vce_asymptotic") dof_adj = N_clust / (N_clust - 1) // 1.0 + if (S.verbose > 0) { + printf("{txt} - Small-sample-adjustment: q = (%g - 1) / (%g - %g) * %g / (%g - 1) = %g\n", N, N, K+nested_adj, N_clust, N_clust, dof_adj) + } + V = D * M * D * dof_adj + if (Q > 1) { + required_fix = reghdfe_fix_psd(V) + if (required_fix) printf("{txt}Warning: VCV matrix was non-positive semi-definite; adjustment from Cameron, Gelbach & Miller applied.\n") + } + + // Store e() + assert(!missing(S.df_r)) + df_r = N_clust - 1 + if (S.df_r > df_r) { + S.df_r = df_r + } + else if (S.verbose > 0) { + printf("{txt} - Unclustered df_r (N - df_m - df_a = %g) are {it:lower} than clustered df_r (N_clust-1 = %g)\n", S.df_r, df_r) + printf("{txt} Thus, we set e(df_r) as the former.\n") + printf("{txt} This breaks consistency with areg but ensures internal consistency\n") + printf("{txt} between vce(robust) and vce(cluster _n)\n") + } + + S.N_clust = N_clust + S.N_clust_list = N_clust_list + + return(V) +} + + +`Matrix' reghdfe_vce_cluster_meat(`FactorPointer' FP, + `Variables' X, + `Variable' resid, + `Integer' Msize, + `Boolean' compute_constant) +{ + `Integer' i, N_clust + `Variables' X_sorted + `Variable' resid_sorted + `Matrix' X_tmp + `Vector' resid_tmp + `RowVector' Xe_tmp + `Matrix' M + + if (cols(X)==0 & !compute_constant) return(J(0,0,0)) + + N_clust = (*FP).num_levels + (*FP).panelsetup() + X_sorted = (*FP).sort(X) + resid_sorted = (*FP).sort(resid) + M = J(Msize, Msize, 0) + + if (cols(X)) { + for (i=1; i<=N_clust; i++) { + X_tmp = panelsubmatrix(X_sorted, i, (*FP).info) + resid_tmp = panelsubmatrix(resid_sorted, i, (*FP).info) + Xe_tmp = quadcross(1, 0, resid_tmp, X_tmp, compute_constant) // Faster than colsum(e_tmp :* X_tmp) + M = M + quadcross(Xe_tmp, Xe_tmp) + } + } + else { + // Workaround for when there are no Xs except for _cons + assert(compute_constant) + for (i=1; i<=N_clust; i++) { + resid_tmp = panelsubmatrix(resid_sorted, i, (*FP).info) + M = M + quadsum(resid_tmp) ^ 2 + } + } + + return(M) +} + + +// Enumerate all combinations of K integers from N integers +// Kroneker approach based on njc's tuples.ado +`Matrix' reghdfe_choose_n_k(`Integer' n, `Integer' k, `Matrix' prev_ans) +{ + `RowVector' v + `Integer' q + `Matrix' candidate + `Matrix' ans + v = 1::n + if (k==1) return(v) + + q = rows(prev_ans) + assert(q==comb(n, k-1)) + assert(cols(prev_ans)==k-1) + candidate = v # J(q, 1, 1) + candidate = candidate , J(n, 1, prev_ans) + ans = select(candidate, candidate[., 1] :< candidate[., 2]) + return(ans) +} + + +// -------------------------------------------------------------------------- +// Fix non-positive VCV +// -------------------------------------------------------------------------- +// If the VCV matrix is not positive-semidefinite, use the fix from +// Cameron, Gelbach & Miller - Robust Inference with Multi-way Clustering (JBES 2011) +// 1) Use eigendecomposition V = U Lambda U' where U are the eigenvectors and Lambda = diag(eigenvalues) +// 2) Replace negative eigenvalues into zero and obtain FixedLambda +// 3) Recover FixedV = U * FixedLambda * U' +`Boolean' function reghdfe_fix_psd(`Matrix' V) { + `Matrix' U + `Matrix' lambda + `Boolean' required_fix + + if (!issymmetric(V)) _makesymmetric(V) + if (!issymmetric(V)) exit(error(505)) + symeigensystem(V, U=., lambda=.) + if (min(lambda)<0) { + lambda = lambda :* (lambda :>= 0) + // V = U * diag(lambda) * U' + V = quadcross(U', lambda, U') + required_fix = 1 + } + else { + required_fix = 0 + } + return(required_fix) +} + + +// -------------------------------------------------------------------------- +// Remove collinear variables +// -------------------------------------------------------------------------- +// Based on ivreg2's s_rmcoll2 +`Matrix' reghdfe_rmcoll(`Varlist' varnames, + `Matrix' xx, + `RowVector' kept) +{ + `Integer' K, num_dropped + `Matrix' inv_xx, smat, alt_inv_xx + `RowVector' vl_drop, vl_keep + + assert(rows(xx)==cols(xx)) + K = cols(xx) + inv_xx = K ? invsym(xx, 1..K) : J(0, 0, .) + + // Specifying the sweep order in invsym() can lead to incorrectly dropped regressors + // (EG: with very VERY high weights) + // We'll double check in this case + num_dropped = diag0cnt(inv_xx) + if (K & num_dropped) { + alt_inv_xx = invsym(xx) + if (num_dropped != diag0cnt(alt_inv_xx)) { + inv_xx = alt_inv_xx + num_dropped = diag0cnt(alt_inv_xx) + } + } + + st_numscalar("r(k_omitted)", num_dropped) + smat = (diagonal(inv_xx) :== 0)' + vl_drop = select(varnames, smat) + vl_keep = select(varnames, !smat) + if (cols(vl_keep)) st_global("r(varlist)", invtokens(vl_keep)) + if (cols(vl_drop)) st_global("r(omitted)", invtokens(vl_drop)) + kept = `selectindex'(!smat) // Return it, so we can exclude these variables from the joint Wald test + return(inv_xx) +} + + +// -------------------------------------------------------------------------- +// Use regression-through-mean and block partition formula to enlarge b and inv(XX) +// -------------------------------------------------------------------------- +`Void' reghdfe_extend_b_and_inv_xx( + `RowVector' means, + `Integer' N, + `Vector' b, + `Matrix' inv_xx) +{ + // How to add back _cons: + // 1) To recover coefficient, apply "regression through means formula": + // b0 = mean(y) - mean(x) * b1 + + // 2) To recover variance ("full_inv_xx") + // apply formula for inverse of partitioned symmetric matrix + // http://fourier.eng.hmc.edu/e161/lectures/gaussianprocess/node6.html + // http://www.cs.nthu.edu.tw/~jang/book/addenda/matinv/matinv/ + // + // Given A = [X'X X'1] B = [B11 B21'] B = inv(A) + // [1'X 1'1] [B21 B22 ] + // + // B11 is just inv(xx) (because of Frisch-Waugh) + // B21 ("side") = means * B11 + // B22 ("corner") = 1 / sumweights * (1 - side * means') + // + // - Note that means is NOT A12, but A12/N or A12 / (sum_weights) + + // - Note: aw and pw (and unweighted) use normal weights, + // but for fweights we expected S.sumweights + + `RowVector' means_x, side + `Real' corner + + means_x = cols(means) > 1 ? means[2..cols(means)] : J(1, 0, .) + b = b \ means[1] - means_x * b // means * (1 \ -b) + corner = (1 / N) + means_x * inv_xx * means_x' + side = - means_x * inv_xx + inv_xx = (inv_xx , side' \ side , corner) + +} + +end diff --git a/30/replication_package/Adofiles/reghdfe_2019/reghdfe_constructor.mata b/30/replication_package/Adofiles/reghdfe_2019/reghdfe_constructor.mata new file mode 100644 index 0000000000000000000000000000000000000000..d04dd1d686e4b51f2cf3718b66f4aa9ebd37efe3 --- /dev/null +++ b/30/replication_package/Adofiles/reghdfe_2019/reghdfe_constructor.mata @@ -0,0 +1,286 @@ +// -------------------------------------------------------------------------- +// FixedEffects constructor (also precomputes factors) +// -------------------------------------------------------------------------- + +mata: + +`FixedEffects' fixed_effects(`Varlist' absvars, + | `Varname' touse, + `String' weighttype, + `Varname' weightvar, + `Boolean' drop_singletons, + `Boolean' verbose) +{ + `FixedEffects' S + `Varname' absvar, cvars + `Integer' i, j, g, gg, remaining + `Vector' idx + `Integer' spaces + `Integer' num_singletons_i + `Variables' cvar_data + `FactorPointer' pf + + // Set default value of arguments + if (args()<2) touse = "" + if (args()<3) weighttype = "" + if (args()<4) weightvar = "" + if (args()<5 | drop_singletons==.) drop_singletons = 1 + if (args()<6 | verbose==.) verbose = 0 + + S = FixedEffects() + S.verbose = verbose + S.drop_singletons = drop_singletons + + // Parse absvars + if (S.verbose > 0) printf("\n{txt}## Parsing absvars and HDFE options\n") + + if (touse == "") touse = st_tempname() + st_global("reghdfe_touse", touse) + stata(`"reghdfe_parse "' + absvars) + S.sample = `selectindex'(st_data(., touse)) + S.tousevar = touse // useful if later on we want to clone the HDFE object + st_global("reghdfe_touse", "") + + if (st_global("s(residuals)") != "") S.residuals = st_global("s(residuals)") + if (st_global("s(verbose)")!="") S.verbose = verbose = strtoreal(st_global("s(verbose)")) + if (st_global("s(drop_singletons)")!="") S.drop_singletons = drop_singletons = strtoreal(st_global("s(drop_singletons)")) + assert(S.verbose < .) + assert(S.drop_singletons==0 | S.drop_singletons==1) + + if (S.verbose > 0) stata("sreturn list") + S.G = strtoreal(st_global("s(G)")) + S.absorb = absvars // useful if later on we want to clone the HDFE object + S.absvars = tokens(st_global("s(absvars)")) + S.has_intercept = strtoreal(st_global("s(has_intercept)")) + S.save_any_fe = strtoreal(st_global("s(save_any_fe)")) + S.save_all_fe = strtoreal(st_global("s(save_all_fe)")) + S.ivars = tokens(st_global("s(ivars)")) + S.cvars = tokens(st_global("s(cvars)")) + S.targets = strtrim(tokens(st_global("s(targets)"))) + S.intercepts = strtoreal(tokens(st_global("s(intercepts)"))) + S.num_slopes = strtoreal(tokens(st_global("s(num_slopes)"))) + S.save_fe = S.targets :!= "" + S.report_constant = strtoreal(st_global("s(report_constant)")) + S.always_run_lsmr_preconditioner = strtoreal(st_global("s(precondition)")) + + // Ensure that S.report_constant and S.has_intercept are 0/1 + assert(anyof((0,1), S.has_intercept)) + assert(anyof((0,1), S.report_constant)) + S.compute_constant = S.has_intercept & S.report_constant + + if (st_global("s(tolerance)") != "") S.tolerance = strtoreal(st_global("s(tolerance)")) + if (st_global("s(maxiter)") != "") S.maxiter = strtoreal(st_global("s(maxiter)")) + if (st_global("s(prune)") != "") S.prune = strtoreal(st_global("s(prune)")) + if (st_global("s(transform)") != "") S.transform = st_global("s(transform)") + if (st_global("s(acceleration)") != "") S.acceleration = st_global("s(acceleration)") + + // Override LSMR if G=1 + if (S.G==1 & S.acceleration=="lsmr") S.acceleration = "conjugate_gradient" + + S.dofadjustments = tokens(st_global("s(dofadjustments)")) + S.groupvar = st_global("s(groupvar)") + if (st_global("s(finite_condition)")=="1") S.finite_condition = -1 // signal to compute it + S.compute_rre = (st_global("s(compute_rre)")=="1") + if (S.compute_rre) S.rre_varname = st_global("s(rre)") + + S.poolsize = strtoreal(st_global("s(poolsize)")) + + if (S.verbose > -1 & !S.has_intercept) printf("{txt}(warning: no intercepts terms in absorb(); regression lacks constant term)\n") + + S.extended_absvars = tokens(st_global("s(extended_absvars)")) + S.tss = . + + assert(1<=S.G) + if (S.G>10) printf("{txt}(warning: absorbing %2.0f dimensions of fixed effects; check that you really want that)\n", S.G) + assert(S.G == cols(S.ivars)) + assert(S.G == cols(S.cvars)) + assert(S.G == cols(S.targets)) + assert(S.G == cols(S.intercepts)) + assert(S.G == cols(S.num_slopes)) + + // Fill out object + S.G = cols(S.absvars) + S.factors = Factor(S.G) + + assert_msg(anyof(("", "fweight", "pweight", "aweight", "iweight"), weighttype), "wrong weight type") + S.weight_type = weighttype + S.weight_var = weightvar + + S.num_singletons = 0 + if (drop_singletons) { + num_singletons_i = 0 + if (weighttype=="fweight" | weighttype=="iweight") { + S.weight = st_data(S.sample, weightvar) // just to use it in F.drop_singletons() + } + } + + + // (1) create the factors and remove singletons + remaining = S.G + i = 0 + if (S.verbose > 0) { + printf("\n{txt}## Initializing Mata object for %g fixed effects\n\n", S.G) + spaces = max((0, max(strlen(S.absvars))-4)) + printf("{txt} {c TLC}{hline 4}{c TT}{hline 3}{c TT}{hline 1}%s{hline 6}{c TT}{hline 6}{c TT}{hline 9}{c TT}{hline 11}{c TT}{hline 12}{c TT}{hline 9}{c TT}{hline 14}{c TRC}\n", "{hline 1}" * spaces) + printf("{txt} {c |} i {c |} g {c |} %s Name {c |} Int? {c |} #Slopes {c |} Obs. {c |} Levels {c |} Sorted? {c |} #Drop Singl. {c |}\n", " " * spaces) + printf("{txt} {c LT}{hline 4}{c +}{hline 3}{c +}{hline 1}%s{hline 6}{c +}{hline 6}{c +}{hline 9}{c +}{hline 11}{c +}{hline 12}{c +}{hline 9}{c +}{hline 14}{c RT}\n", "{hline 1}" * spaces) + displayflush() + } + + while (remaining) { + ++i + g = 1 + mod(i-1, S.G) + absvar = S.absvars[g] + + if (S.verbose > 0) { + printf("{txt} {c |} %2.0f {c |} %1.0f {c |} {res}%s{txt} {c |} ", i, g, (spaces+5-strlen(absvar)) * " " + absvar) + printf("{txt}{%s}%3s{txt} {c |} %1.0f {c |}", S.intercepts[g] ? "txt" : "err", S.intercepts[g] ? "Yes" : "No", S.num_slopes[g]) + displayflush() + } + + if (S.verbose > 0) { + printf("{res}%10.0g{txt} {c |}", rows(S.sample)) + displayflush() + } + + if (rows(S.sample) < 2) { + if (S.verbose > 0) printf("\n") + exit(error(2001)) + } + + if (i<=S.G) { + if (S.ivars[g] == "_cons" & S.G == 1) { + // Special case without any fixed effects + + S.factors[g] = Factor() + pf = &(S.factors[g]) + (*pf).num_obs = (*pf).counts = rows(S.sample) + (*pf).num_levels = 1 + //(*pf).levels = . // Not filled to save space + (*pf).levels = J(rows(S.sample), 1, 1) + (*pf).is_sorted = 1 + (*pf).method = "none" + + // The code below is equivalent but 3x slower + // S.factors[g] = _factor(J(rows(S.sample),1,1), 1, ., "hash0", ., 1, ., 0) + } + else { + // We don't need to save keys (or sort levels but that might change estimates of FEs) + S.factors[g] = factor(S.ivars[g], S.sample, ., "", ., 1, ., 0) + } + } + + if (S.verbose > 0) { + printf(" {res}%10.0g{txt} {c |} %7s {c |}", S.factors[g].num_levels, S.factors[g].is_sorted ? "Yes" : "No") + displayflush() + } + + if (drop_singletons) { + + if (weighttype=="fweight") { + idx = S.factors[g].drop_singletons(S.weight) + } + else if (weighttype=="iweight") { + idx = S.factors[g].drop_singletons(S.weight, 1) // zero_threshold==1 + } + else { + idx = S.factors[g].drop_singletons() + } + + num_singletons_i = rows(idx) + S.num_singletons = S.num_singletons + num_singletons_i + if (S.verbose > 0) { + printf(" %10.0g {c |}", num_singletons_i) + displayflush() + } + + if (num_singletons_i==0) { + --remaining + } + else { + remaining = S.G - 1 + + // sample[idx] = . // not allowed in Mata; instead, make 0 and then select() + S.sample[idx] = J(rows(idx), 1, 0) + S.sample = select(S.sample, S.sample) + + for (j=i-1; j>=max((1, i-remaining)); j--) { + gg = 1 + mod(j-1, S.G) + S.factors[gg].drop_obs(idx) + if (S.verbose > 0) printf("{res} .") + } + } + } + else { + if (S.verbose > 0) printf(" n/a {c |}") + --remaining + } + if (S.verbose > 0) printf("\n") + } + if (S.verbose > 0) { + printf("{txt} {c BLC}{hline 4}{c BT}{hline 3}{c BT}{hline 1}%s{hline 6}{c BT}{hline 6}{c BT}{hline 9}{c BT}{hline 11}{c BT}{hline 12}{c BT}{hline 9}{c BT}{hline 14}{c BRC}\n", "{hline 1}" * spaces) + } + + if ( drop_singletons & S.num_singletons>0 & S.verbose>-1 | S.factors[1].num_obs<2) { + if (weighttype=="iweight") { + // PPML-specific + printf(`"{txt}(dropped %s observations that are either {browse "http://scorreia.com/research/singletons.pdf":singletons} or {browse "http://scorreia.com/research/separation.pdf":separated} by a fixed effect)\n"', strofreal(S.num_singletons)) + } + else { + printf(`"{txt}(dropped %s {browse "http://scorreia.com/research/singletons.pdf":singleton observations})\n"', strofreal(S.num_singletons)) + } + } + + if (S.factors[1].num_obs < 2) { + exit(error(2001)) + } + + S.N = S.factors[1].num_obs // store number of obs. + assert(S.N = S.factors[S.G].num_obs) + assert(S.N > 1) + + + // (2) run *.panelsetup() after the sample is defined + if (S.verbose > 0) printf("\n{txt}## Initializing panelsetup() for each fixed effect\n\n") + for (g=1; g<=S.G; g++) { + absvar = S.absvars[g] + if (S.verbose > 0) printf("{txt} - panelsetup({res}%s{txt})\n", absvar) + S.factors[g].panelsetup() + } + + // (3) load cvars + if (sum(S.num_slopes)) { + if (S.verbose > 0) printf("\n{txt}## Loading slope variables\n\n") + for (g=1; g<=S.G; g++) { + cvars = tokens(S.cvars[g]) + if (S.num_slopes[g]) { + // Load, standardize, sort by factor and store + // Don't precompute aux objects (xmeans, inv_xx) as they depend on the weights + // and will be computed on step (5) + if (S.verbose > 0) printf("{txt} - cvars({res}%s{txt})\n", invtokens(cvars)) + pf = &(S.factors[g]) + cvar_data = (*pf).sort(st_data(S.sample, cvars)) + asarray((*pf).extra, "x_stdevs", reghdfe_standardize(cvar_data)) + asarray((*pf).extra, "x", cvar_data) + } + } + cvar_data = . + } + + // (4) prune edges of degree-1 + // S.prune = 0 // bugbug + if (S.prune) S.prune_1core() + + // (5) load weight + S.load_weights(weighttype, weightvar, J(0,1,.), 1) // update S.has_weights, S.factors, etc. + + // Save "true" residuals for RRE + if (S.compute_rre) { + assert_msg(S.rre_varname != "") + S.rre_true_residual = st_data(S.sample, S.rre_varname) + } + + return(S) +} + +end diff --git a/30/replication_package/Adofiles/reghdfe_2019/reghdfe_estat.ado b/30/replication_package/Adofiles/reghdfe_2019/reghdfe_estat.ado new file mode 100644 index 0000000000000000000000000000000000000000..2da6d522a4724117b428ff316174d2b05d422f13 --- /dev/null +++ b/30/replication_package/Adofiles/reghdfe_2019/reghdfe_estat.ado @@ -0,0 +1,36 @@ +program reghdfe_estat, rclass + version `=cond(c(version)<14, c(version), 13)' + if !inlist("`e(cmd)'", "reghdfe", "ppmlhdfe") { + error 301 + } + + gettoken key 0 : 0, parse(", ") + local lkey = length(`"`key'"') + + if `"`key'"' == substr("summarize",1,max(2,`lkey')) { + + local 0 `rest' + syntax [anything] , [*] [noheader] // -noheader- gets silently ignored b/c it will always be -on- + + **if ("`anything'"=="") { + ** * By default include the instruments + ** local anything // `e(depvar)' `e(indepvars)' `e(endogvars)' `e(instruments)' + **} + + * Need to use -noheader- as a workaround to the bug in -estat_summ- + estat_summ `anything' , `options' noheader + + } + else if `"`key'"' == "vce" { + vce `0' + } + else if `"`key'"' == "ic" { + syntax, [*] + estat_default ic, df(`=e(df_m)+1') `options' + } + else { + di as error `"invalid subcommand `key'"' + exit 321 + } + return add // ? +end diff --git a/30/replication_package/Adofiles/reghdfe_2019/reghdfe_footnote.ado b/30/replication_package/Adofiles/reghdfe_2019/reghdfe_footnote.ado new file mode 100644 index 0000000000000000000000000000000000000000..873594f8e0115d4aba5b4685f479158ab4c3db35 --- /dev/null +++ b/30/replication_package/Adofiles/reghdfe_2019/reghdfe_footnote.ado @@ -0,0 +1,60 @@ +// ------------------------------------------------------------- +// Display Regression Footnote +// ------------------------------------------------------------- +program reghdfe_footnote +syntax [, width(int 13)] + + if (`"`e(absvars)'"' == "_cons") { + exit + } + + tempname table + matrix `table' = e(dof_table) + mata: st_local("var_width", strofreal(max(strlen(st_matrixrowstripe("`table'")[., 2])))) + if (`var_width' > `width') loc width = `var_width' + loc rows = rowsof("`table'") + loc cols = rowsof("`table'") + local vars : rownames `table' + + // Setup table + di as text _n "Absorbed degrees of freedom:" + tempname mytab + .`mytab' = ._tab.new, col(5) lmargin(0) + .`mytab'.width `width' | 12 12 14 1 | + .`mytab'.pad . 1 1 1 0 + .`mytab'.numfmt . %9.0g %9.0g %9.0g . + .`mytab'.numcolor . text text result . + .`mytab'.sep, top + + local explain_exact 0 + local explain_nested 0 + + // Header + .`mytab'.titles "Absorbed FE" "Categories" " - Redundant" " = Num. Coefs" "" + .`mytab'.sep, middle + + // Body + forval i = 1/`rows' { + local var : word `i' of `vars' + loc var = subinstr("`var'", "1.", "", .) + loc note " " + if (`=`table'[`i', 4]'==1) { + loc note "?" + loc explain_exact 1 + } + if (`=`table'[`i', 5]'==1) { + loc note "*" + loc explain_nested 1 + } + + // noabsorb + if (`rows'==1 & `=`table'[`i', 1]'==1 & strpos("`var'", "__")==1) loc var "_cons" + + .`mytab'.row "`var'" `=`table'[`i', 1]' `=`table'[`i', 2]' `=`table'[`i', 3]' "`note'" + } + + // Bottom + .`mytab'.sep, bottom + if (`explain_exact') di as text "? = number of redundant parameters may be higher" + if (`explain_nested') di as text `"* = FE nested within cluster; treated as redundant for DoF computation"' +end diff --git a/30/replication_package/Adofiles/reghdfe_2019/reghdfe_header.ado b/30/replication_package/Adofiles/reghdfe_2019/reghdfe_header.ado new file mode 100644 index 0000000000000000000000000000000000000000..4be05899c57e32eccf5f933965e2b8a4182183c9 --- /dev/null +++ b/30/replication_package/Adofiles/reghdfe_2019/reghdfe_header.ado @@ -0,0 +1,181 @@ +* (Modified from _coef_table_header.ado) + +program reghdfe_header + if !c(noisily) exit + + tempname left right + .`left' = {} + .`right' = {} + + local width 78 + local colwidths 1 30 51 67 + local i 0 + foreach c of local colwidths { + local ++i + local c`i' `c' + local C`i' _col(`c') + } + + local c2wfmt 10 + local c4wfmt 10 + local max_len_title = `c3' - 2 + local c4wfmt1 = `c4wfmt' + 1 + local title `"`e(title)'"' + local title2 `"`e(title2)'"' + local title3 `"`e(title3)'"' + local title4 `"`e(title4)'"' + local title5 `"`e(title5)'"' + + // Right hand header ************************************************ + + *N obs + .`right'.Arrpush `C3' "Number of obs" `C4' "= " as res %`c4wfmt'.0fc e(N) + + * Ftest + if `"`e(chi2)'"' != "" | "`e(df_r)'" == "" { + Chi2test `right' `C3' `C4' `c4wfmt' + } + else { + Ftest `right' `C3' `C4' `c4wfmt' + } + + * display R-squared + if !missing(e(r2)) { + .`right'.Arrpush `C3' "R-squared" `C4' "= " as res %`c4wfmt'.4f e(r2) + } + *if !missing(e(r2_p)) { + * .`right'.Arrpush `C3' "Pseudo R2" `C4' "= " as res %`c4wfmt'.4f e(r2_p) + *} + if !missing(e(r2_a)) { + .`right'.Arrpush `C3' "Adj R-squared" `C4' "= " as res %`c4wfmt'.4f e(r2_a) + } + if !missing(e(r2_within)) { + .`right'.Arrpush `C3' "Within R-sq." `C4' "= " as res %`c4wfmt'.4f e(r2_within) + } + if !missing(e(rmse)) { + .`right'.Arrpush `C3' "Root MSE" `C4' "= " as res %`c4wfmt'.4f e(rmse) + } + + // Left hand header ************************************************* + + * make title line part of the header if it fits + local len_title : length local title + forv i=2/5 { + if (`"`title`i''"'!="") { + local len_title = max(`len_title',`:length local title`i'') + } + } + + if `len_title' < `max_len_title' { + .`left'.Arrpush `"`"`title'"'"' + local title + forv i=2/5 { + if `"`title`i''"' != "" { + .`left'.Arrpush `"`"`title`i''"'"' + local title`i' + } + } + .`left'.Arrpush "" // Empty + } + + * Clusters + local kr = `.`right'.arrnels' // number of elements in the right header + local kl = `.`left'.arrnels' // number of elements in the left header + local N_clustervars = e(N_clustervars) + if (`N_clustervars'==.) local N_clustervars 0 + local space = `kr' - `kl' - `N_clustervars' + local clustvar = e(clustvar) + forv i=1/`space' { + .`left'.Arrpush "" + } + forval i = 1/`N_clustervars' { + gettoken cluster clustvar : clustvar + local num = e(N_clust`i') + .`left'.Arrpush `C1' "Number of clusters (" as res "`cluster'" as text ") " `C2' as text "= " as res %`c2wfmt'.0fc `num' + } + + HeaderDisplay `left' `right' `"`title'"' `"`title2'"' `"`title3'"' `"`title4'"' `"`title5'"' +end + +program HeaderDisplay + args left right title1 title2 title3 title4 title5 + + local nl = `.`left'.arrnels' + local nr = `.`right'.arrnels' + local K = max(`nl',`nr') + + di + if `"`title1'"' != "" { + di as txt `"`title'"' + forval i = 2/5 { + if `"`title`i''"' != "" { + di as txt `"`title`i''"' + } + } + if `K' { + di + } + } + + local c _c + forval i = 1/`K' { + di as txt `.`left'[`i']' as txt `.`right'[`i']' + } +end + +program Ftest + args right C3 C4 c4wfmt is_svy + + local df = e(df_r) + if !missing(e(F)) { + .`right'.Arrpush /// + `C3' "F(" /// + as res %4.0f e(df_m) /// + as txt "," /// + as res %7.0f `df' as txt ")" `C4' "= " /// + as res %`c4wfmt'.2f e(F) + .`right'.Arrpush /// + `C3' "Prob > F" `C4' "= " /// + as res %`c4wfmt'.4f Ftail(e(df_m),`df',e(F)) + } + else { + local dfm_l : di %4.0f e(df_m) + local dfm_l2: di %7.0f `df' + local j_robust "{help j_robustsingular##|_new:F(`dfm_l',`dfm_l2')}" + .`right'.Arrpush /// + `C3' "`j_robust'" /// + as txt `C4' "= " as result %`c4wfmt's "." + .`right'.Arrpush /// + `C3' "Prob > F" `C4' "= " as res %`c4wfmt's "." + } +end + +program Chi2test + + args right C3 C4 c4wfmt + + local type `e(chi2type)' + if `"`type'"' == "" { + local type Wald + } + if !missing(e(chi2)) { + .`right'.Arrpush /// + `C3' "`type' chi2(" /// + as res e(df_m) /// + as txt ")" `C4' "= " /// + as res %`c4wfmt'.2f e(chi2) + .`right'.Arrpush /// + `C3' "Prob > chi2" `C4' "= " /// + as res %`c4wfmt'.4f chi2tail(e(df_m),e(chi2)) + } + else { + local j_robust /// + "{help j_robustsingular##|_new:`type' chi2(`e(df_m)')}" + .`right'.Arrpush /// + `C3' "`j_robust'" /// + as txt `C4' "= " as res %`c4wfmt's "." + .`right'.Arrpush /// + `C3' "Prob > chi2" `C4' "= " /// + as res %`c4wfmt's "." + } +end diff --git a/30/replication_package/Adofiles/reghdfe_2019/reghdfe_lsmr.mata b/30/replication_package/Adofiles/reghdfe_2019/reghdfe_lsmr.mata new file mode 100644 index 0000000000000000000000000000000000000000..93f462fd8f0deeeb182fd4fcc9f7c890650549a9 --- /dev/null +++ b/30/replication_package/Adofiles/reghdfe_2019/reghdfe_lsmr.mata @@ -0,0 +1,235 @@ +mata: + +// -------------------------------------------------------------------------- +// LSMR estimation: Solve Ax=b with LS (ignore consistent case) (A?=y) (Z=D?) +// -------------------------------------------------------------------------- +// Source: http://web.stanford.edu/group/SOL/software/lsmr/ +// Code based on https://github.com/timtylin/lsmr-SLIM/blob/master/lsmr.m +// Copyright (BSD2): https://github.com/timtylin/lsmr-SLIM/blob/master/license.txt + +// Requirements +// A(x, 1) = Ax Projections "xβ" +// A(x, 2) = A'x Sum of y by group; panelmean() if dummies and w/precond + +`Vector' lsmr(`FixedEffects' S, `Vector' b, `Vector' x) { + `Real' eps + `Integer' iter // m, n + `Real' beta, zetabar, alphabar, rho, rhobar, cbar, sbar + `Real' betadd, betad, rhodold, tautildeold, thetatilde, zeta, d + `Real' normA2, maxrbar, minrbar + `Real' normb, normr + `Real' test1, test2, test3 + `Vector' u, v, h, hbar + + `Real' alpha, alphahat, lambda, chat, shat, rhoold, c, s, thetanew, rhobarold, zetaold, stildeold + `Real' thetabar, rhotemp, betaacute, betacheck, betahat, thetatildeold, rhotildeold, ctildeold, taud + `Real' normA, normAr, condA, normx, rtol + + assert(cols(b)==1) + if (S.verbose > 0) printf("\n{txt}## Computing LSMR\n\n") + + // Constants + eps = epsilon(1) + + lambda = 0 // not used + S.converged = 0 + + beta = S.lsmr_norm(b) + assert_msg(beta < . , "beta is missing") + u = (beta > eps) ? (b / beta) : b + v = S.lsmr_At_mult(u) // v = (*A)(u, 2) + assert_msg(!missing(v), "-v- missing") + // m = rows(v) // A is m*n + // n = rows(u) + + alpha = S.lsmr_norm(v) + assert_msg(alpha < . , "alpha is missing") + if (alpha > eps) v = v / alpha + + // Initialize variables for 1st iteration. + zetabar = alpha * beta + alphabar = alpha + rho = rhobar = cbar = 1 + sbar = 0 + + h = v + hbar = J(rows(h), 1, 0) // remove this + //x = J(rows(h), 1, 0) + + // Initialize variables for estimation of ||r|| + betadd = beta + betad = 0 + rhodold = 1 + tautildeold = 0 + thetatilde = 0 + zeta = 0 + d = 0 + + // Initialize variables for estimation of ||A|| and cond(A) + normA2 = alpha ^ 2 + maxrbar = 0 + minrbar = 1e+100 + + // Items for use in stopping rules. + normb = beta + normr = beta + + // Exit if b=0 or A'b = 0. + normAr = alpha * beta + if (normAr == 0) { + "DONE -> UPDATE THIS STOPPING CONDITION" + return + } + + if (S.verbose > 1) { + "< < < <" + test1 = 1 + test2 = alpha / beta + printf(" %10.3e %10.3e\n", normr, normAr ) + printf(" %8.1e %8.1e\n" , test1, test2 ) + "> > > > " + } + + // Main loop + + for (iter=1; iter<=S.maxiter; iter++) { + + // Update (1) βu = Av - αu (2) αv = A'u - βv + u = S.lsmr_A_mult(v) - alpha * u // u = (*A)(v, 1) - alpha * u + + //"hash of u" + //hash1(round(u*1e5)) + //u[1..5] + + beta = S.lsmr_norm(u) + if (beta > eps) u = u / beta + + v = S.lsmr_At_mult(u) - beta * v // v = (*A)(u, 2) - beta * v + alpha = S.lsmr_norm(v) + if (alpha > eps) v = v / alpha + + // α and β are now on iteration {k+1} + + // Construct rotation Qhat_{k, 2k+1} + alphahat = S.lsmr_norm((alphabar, lambda)) + assert_msg(alphahat < . , "alphahat is missing") + chat = alphabar / alphahat + shat = lambda / alphahat + + // Use a plane rotation (Q_i) to turn B_i to R_i. + rhoold = rho + rho = norm((alphahat, beta)) + c = alphahat / rho + s = beta / rho + thetanew = s * alpha + alphabar = c * alpha + + // Use a plane rotation (Qbar_i) to turn R_i^T to R_i^bar. + rhobarold = rhobar + zetaold = zeta + thetabar = sbar * rho + rhotemp = cbar * rho + rhobar = norm((cbar * rho, thetanew)) + cbar = cbar * rho / rhobar + sbar = thetanew / rhobar + zeta = cbar * zetabar + zetabar = -sbar * zetabar + + // Update h, h_hat, x + hbar = iter > 1 ? h - (thetabar * rho / (rhoold * rhobarold)) * hbar : h + assert_msg(!missing(hbar), "hbar missing") + x = iter > 1 ? x + (zeta / (rho * rhobar)) * hbar : (zeta / (rho * rhobar)) * hbar + assert_msg(!missing(x), "x missing") + h = v - (thetanew / rho) * h + + // Estimate of ||r|| + + // Apply rotation Qhat_{k,2k+1} + betaacute = chat * betadd + betacheck = -shat * betadd + + // Apply rotation Q_{k,k+1} + betahat = c * betaacute; + betadd = -s * betaacute; + + // Apply rotation Qtilde_{k-1} + // betad = betad_{k-1} here + thetatildeold = thetatilde + rhotildeold = norm((rhodold, thetabar)) + ctildeold = rhodold / rhotildeold + stildeold = thetabar / rhotildeold + thetatilde = stildeold * rhobar + rhodold = ctildeold * rhobar + betad = -stildeold * betad + ctildeold * betahat + + // betad = betad_k here + // rhodold = rhod_k here + tautildeold = (zetaold - thetatildeold * tautildeold) / rhotildeold + taud = (zeta - thetatilde * tautildeold) / rhodold + d = d + betacheck^2 + normr = sqrt(d + (betad - taud)^2 + betadd^2) + + // Estimate ||A||. + normA2 = normA2 + beta^2 + normA = sqrt(normA2) + normA2 = normA2 + alpha^2 + + // Estimate cond(A) + maxrbar = max((maxrbar,rhobarold)) + if (iter > 1) minrbar = min((minrbar,rhobarold)) + condA = max((maxrbar,rhotemp)) / min((minrbar,rhotemp)) + + // Test for convergence. + + // Compute norms for convergence testing. + normAr = abs(zetabar) + normx = S.lsmr_norm(x) + + // Now use these norms to estimate certain other quantities, + // some of which will be small near a solution. + test1 = normr / normb + test2 = normAr / (normA*normr) + test3 = 1 / condA + rtol = S.btol + S.tolerance *normA*normx / normb + + // The following tests guard against extremely small values of + // atol, btol or ctol. (The user may have set any or all of + // the parameters atol, btol, conlim to 0.) + // The effect is equivalent to the normAl tests using + // atol = eps, btol = eps, conlim = 1/eps. + + // Allow for tolerances set by the user. + + if (test3 <= 1 / S.conlim) S.converged = 3 + if (test2 <= S.tolerance) S.converged = 2 + if (test1 <= rtol) S.converged = 1 + + if (S.verbose > 1) { + printf(" - Convergence: %g\n", S.converged) + "iter normr normAr" + iter, normr, normAr + "test1 test2 test3" + test1, test2, test3 + "criteria1 criteria2 criteria3" + 1/S.conlim , S.tolerance, rtol + ">>>" + } + + if (S.compute_rre & !S.prune) { + reghdfe_rre_benchmark(b - S.lsmr_A_mult(x), S.rre_true_residual, S.rre_depvar_norm) + } + + if (S.converged) break + } + + if (!S.converged) { + printf("\n{err}convergence not achieved in %g iterations (last error=%e); try increasing maxiter() or decreasing tol().\n", S.maxiter, test2) + exit(430) + } + + S.iteration_count = max((iter, S.iteration_count)) + + u = b - S.lsmr_A_mult(x) + return(u) +} +end diff --git a/30/replication_package/Adofiles/reghdfe_2019/reghdfe_mata.sthlp b/30/replication_package/Adofiles/reghdfe_2019/reghdfe_mata.sthlp new file mode 100644 index 0000000000000000000000000000000000000000..78c657280304bf7ce2b007d3f3b47f56d21a59fd --- /dev/null +++ b/30/replication_package/Adofiles/reghdfe_2019/reghdfe_mata.sthlp @@ -0,0 +1,346 @@ +{smcl} +{* *! version 4.4.0 11sep2017}{...} +{vieweralsosee "reghdfe" "help reghdfe"}{...} +{vieweralsosee "ftools" "help ftools"}{...} +{viewerjumpto "Syntax" "ftools##syntax"}{...} +{viewerjumpto "Creation" "ftools##creation"}{...} +{viewerjumpto "Properties and methods" "ftools##properties"}{...} +{viewerjumpto "Description" "ftools##description"}{...} +{viewerjumpto "Usage" "ftools##usage"}{...} +{viewerjumpto "Example" "ftools##example"}{...} +{viewerjumpto "Remarks" "ftools##remarks"}{...} +{viewerjumpto "Using functions from collapse" "ftools##collapse"}{...} +{viewerjumpto "Experimental/advanced" "ftools##experimental"}{...} +{viewerjumpto "Source code" "ftools##source"}{...} +{viewerjumpto "Author" "ftools##contact"}{...} + +{title:Title} + +{p2colset 5 22 22 2}{...} +{p2col :{cmd:FixedEffects} {hline 2}}Mata class behind {cmd:reghdfe}{p_end} +{p2colreset}{...} + +{marker syntax}{...} +{title:Syntax} + +{pstd} +{it}To construct the object: + + +{p 8 16 2} +{it:class FixedEffects} +{cmd:fixed_effects(}{space 1}{it:absvars} [ +{cmd:,} +{it:touse}{cmd:,} +{it:weighttype}{cmd:,} +{it:weightvar}{cmd:,} +{it:drop_singletons}{cmd:,} +{it:verbose}]{cmd:)} + +{marker arguments}{...} +{synoptset 38 tabbed}{...} +{synopthdr} +{synoptline} +{p2coldent:* {it:string} absvars}names of variables that identify each set of fixed effects{p_end} +{synopt:{it:string} touse}name of dummy {help mark:touse} variable{p_end} +{synopt:{it:string} weighttype}type of weight (fweight, pweight, aweight, iweight){p_end} +{synopt:{it:string} weightvar}name of weight variable{p_end} +{synopt:{it:string} drop_singletons}whether to drop singleton groups or not{p_end} +{synopt:{it:string} verbose}how much information to report +(0: report warnings, 1 to 4 reports more details, -1 is silent){p_end} +{p2colreset}{...} + + +{marker usage}{...} +{title:Standard usage} + +{pstd}(optional) First, you can declare the FixedEffects object: + +{p 8 8 2} +{cmd:class FixedEffects}{it: HDFE}{break} + +{pstd}Then, you create the object from categorical variables, categorical-continuous interactions, etc.: + +{p 8 8 2} +{it:HDFE }{cmd:=}{bind: }{cmd:fixed_effects(}{it:varnames}{cmd:)} + +{pstd} +Then you can modify the object and add important properties: + +{p 8 8 2}{it:HDFE.varlist }{cmd:=}{bind: }{it:varlist} // used to report messages about all demeaned variables{p_end} +{p 8 8 2}{it:HDFE.indepvars }{cmd:=}{bind: }{it:indepvars} // used to report messages about demeaned regressors{p_end} +{p 8 8 2}{it:HDFE.num_clusters }{cmd:=}{bind: }{it:#} // Number of clusters{p_end} + +{p 8 8 2} +{it: ... see reghdfe.ado for more options and how to combine them} + + +{marker properties}{...} +{title:Properties and Methods} + +{marker arguments}{...} +{synoptset 38 tabbed}{...} + +{synopthdr:properties (factors)} +{synoptline} + +{synopt:{it:Integer} {cmd:N}}number of obs{p_end} +{synopt:{it:Integer} {cmd:M}}Sum of all possible FE coefs{p_end} +{synopt:{it:Factors} {cmd:factors}}{p_end} +{synopt:{it:Vector} {cmd:sample}}{p_end} +{synopt:{it:Varlist} {cmd:absvars}}{p_end} +{synopt:{it:Varlist} {cmd:ivars}}{p_end} +{synopt:{it:Varlist} {cmd:cvars}}{p_end} +{synopt:{it:Boolean} {cmd:has_intercept}}{p_end} +{synopt:{it:RowVector} {cmd:intercepts}}{p_end} +{synopt:{it:RowVector} {cmd:num_slopes}}{p_end} +{synopt:{it:Integer} {cmd:num_singletons}}{p_end} +{synopt:{it:Boolean} {cmd:save_any_fe}}{p_end} +{synopt:{it:Boolean} {cmd:save_all_fe}}{p_end} +{synopt:{it:Varlist} {cmd:targets}}{p_end} +{synopt:{it:RowVector} {cmd:save_fe}}{p_end} + +{synopthdr:properties (optimization options)} +{synoptline} + +{synopt:{it:Real} {cmd:tolerance}}{p_end} +{synopt:{it:Integer} {cmd:maxiter}}{p_end} +{synopt:{it:String} {cmd:transform}}Kaczmarz Cimmino Symmetric_kaczmarz (k c s){p_end} +{synopt:{it:String} {cmd:acceleration}}Acceleration method. None/No/Empty is none\{p_end} +{synopt:{it:Integer} {cmd:accel_start}}Iteration where we start to accelerate /set it at 6? 2?3?{p_end} +{synopt:{it:string} {cmd:slope_method}}{p_end} +{synopt:{it:Boolean} {cmd:prune}}Whether to recursively prune degree-1 edges{p_end} +{synopt:{it:Boolean} {cmd:abort}}Raise error if convergence failed?{p_end} +{synopt:{it:Integer} {cmd:accel_freq}}Specific to Aitken's acceleration{p_end} +{synopt:{it:Boolean} {cmd:storing_alphas}}1 if we should compute the alphas/fes{p_end} +{synopt:{it:Real} {cmd:conlim}}specific to LSMR{p_end} +{synopt:{it:Real} {cmd:btol}}specific to LSMR{p_end} + +{synopthdr:properties (optimization objects)} +{synoptline} + + +{synopt:{it:BipartiteGraph} {cmd:bg}}Used when pruning 1-core vertices{p_end} +{synopt:{it:Vector} {cmd:pruned_weight}}temp. weight for the factors that were pruned{p_end} +{synopt:{it:Integer} {cmd:prune_g1}}Factor 1/2 in the bipartite subgraph that gets pruned{p_end} +{synopt:{it:Integer} {cmd:prune_g2}}Factor 2/2 in the bipartite subgraph that gets pruned{p_end} +{synopt:{it:Integer} {cmd:num_pruned}}Number of vertices (levels) that were pruned{p_end} + +{synopthdr:properties (misc)} +{synoptline} + +{synopt:{it:Integer} {cmd:verbose}}{p_end} +{synopt:{it:Boolean} {cmd:timeit}}{p_end} +{synopt:{it:Boolean} {cmd:store_sample}}{p_end} +{synopt:{it:Real} {cmd:finite_condition}}{p_end} +{synopt:{it:Real} {cmd:compute_rre}}Relative residual error: || e_k - e || / || e ||{p_end} +{synopt:{it:Real} {cmd:rre_depvar_norm}}{p_end} +{synopt:{it:Vector} {cmd:rre_varname}}{p_end} +{synopt:{it:Vector} {cmd:rre_true_residual}}{p_end} + +{synopthdr:properties (weight-specific)} +{synoptline} + +{synopt:{it:Boolean} {cmd:has_weights}}{p_end} +{synopt:{it:Variable} {cmd:weight}}unsorted weight{p_end} +{synopt:{it:String} {cmd:weight_var}}Weighting variable{p_end} +{synopt:{it:String} {cmd:weight_type}}Weight type (pw, fw, etc){p_end} + +{synopthdr:properties (absorbed degrees-of-freedom computations)} +{synoptline} + +{synopt:{it:Integer} {cmd:G_extended}}Number of intercepts plus slopes{p_end} +{synopt:{it:Integer} {cmd:df_a_redundant}}e(mobility){p_end} +{synopt:{it:Integer} {cmd:df_a_initial}}{p_end} +{synopt:{it:Integer} {cmd:df_a}}df_a_inital - df_a_redundant{p_end} +{synopt:{it:Vector} {cmd:doflist_M}}{p_end} +{synopt:{it:Vector} {cmd:doflist_K}}{p_end} +{synopt:{it:Vector} {cmd:doflist_M_is_exact}}{p_end} +{synopt:{it:Vector} {cmd:doflist_M_is_nested}}{p_end} +{synopt:{it:Vector} {cmd:is_slope}}{p_end} +{synopt:{it:Integer} {cmd:df_a_nested}}Redundant due to bein nested; used for: r2_a r2_a_within rmse{p_end} + +{synopthdr:properties (VCE and cluster variables)} +{synoptline} + +{synopt:{it:String} {cmd:vcetype}}{p_end} +{synopt:{it:Integer} {cmd:num_clusters}}{p_end} +{synopt:{it:Varlist} {cmd:clustervars}}{p_end} +{synopt:{it:Varlist} {cmd:base_clustervars}}{p_end} +{synopt:{it:String} {cmd:vceextra}}{p_end} + +{synopthdr:properties (regression-specific)} +{synoptline} + +{synopt:{it:String} {cmd:varlist}}y x1 x2 x3 x4 z1 z2 z3{p_end} +{synopt:{it:String} {cmd:depvar}}y{p_end} +{synopt:{it:String} {cmd:indepvars}}x1 x2{p_end} + +{synopt:{it:Boolean} {cmd:drop_singletons}}{p_end} +{synopt:{it:String} {cmd:absorb}}contents of absorb(){p_end} +{synopt:{it:String} {cmd:select_if}}If condition{p_end} +{synopt:{it:String} {cmd:select_in}}In condition{p_end} +{synopt:{it:String} {cmd:model}}ols, iv{p_end} +{synopt:{it:String} {cmd:summarize_stats}}{p_end} +{synopt:{it:Boolean} {cmd:summarize_quietly}}{p_end} +{synopt:{it:StringRowVector} {cmd:dofadjustments}}firstpair pairwise cluster continuous{p_end} +{synopt:{it:Varname} {cmd:groupvar}}{p_end} +{synopt:{it:String} {cmd:residuals}}{p_end} +{synopt:{it:RowVector} {cmd:kept}}1 if the regressors are not deemed as omitted (by partial_out+cholsolve+invsym){p_end} +{synopt:{it:String} {cmd:diopts}}{p_end} + +{synopthdr:properties (output)} +{synoptline} + +{synopt:{it:String} {cmd:cmdline}}{p_end} +{synopt:{it:String} {cmd:subcmd}}{p_end} +{synopt:{it:String} {cmd:title}}{p_end} +{synopt:{it:Boolean} {cmd:converged}}{p_end} +{synopt:{it:Integer} {cmd:iteration_count}}e(ic){p_end} +{synopt:{it:Varlist} {cmd:extended_absvars}}{p_end} +{synopt:{it:String} {cmd:notes}}{p_end} +{synopt:{it:Integer} {cmd:df_r}}{p_end} +{synopt:{it:Integer} {cmd:df_m}}{p_end} +{synopt:{it:Integer} {cmd:N_clust}}{p_end} +{synopt:{it:Integer} {cmd:N_clust_list}}{p_end} +{synopt:{it:Real} {cmd:rss}}{p_end} +{synopt:{it:Real} {cmd:rmse}}{p_end} +{synopt:{it:Real} {cmd:F}}{p_end} +{synopt:{it:Real} {cmd:tss}}{p_end} +{synopt:{it:Real} {cmd:tss_within}}{p_end} +{synopt:{it:Real} {cmd:sumweights}}{p_end} +{synopt:{it:Real} {cmd:r2}}{p_end} +{synopt:{it:Real} {cmd:r2_within}}{p_end} +{synopt:{it:Real} {cmd:r2_a}}{p_end} +{synopt:{it:Real} {cmd:r2_a_within}}{p_end} +{synopt:{it:Real} {cmd:ll}}{p_end} +{synopt:{it:Real} {cmd:ll_0}}{p_end} + +{synopthdr:methods} +{synoptline} + +{synopt:{it:Void} {cmd:update_sorted_weights}()}{p_end} +{synopt:{it:Matrix} {cmd:partial_out}()}{p_end} +{synopt:{it:Void} {cmd:_partial_out}()}in-place alternative to {cmd:partial_out()}{p_end} +{synopt:{it:Variables} {cmd:project_one_fe}()}{p_end} +{synopt:{it:Void} {cmd:prune_1core}()}{p_end} +{synopt:{it:Void} {cmd:_expand_1core}()}{p_end} +{synopt:{it:Void} {cmd:estimate_dof}()}{p_end} +{synopt:{it:Void} {cmd:estimate_cond}()}{p_end} +{synopt:{it:Void} {cmd:save_touse}()}{p_end} +{synopt:{it:Void} {cmd:store_alphas}()}{p_end} +{synopt:{it:Void} {cmd:save_variable}()}{p_end} +{synopt:{it:Void} {cmd:post_footnote}()}{p_end} +{synopt:{it:Void} {cmd:post}()}{p_end} +{synopt:{it:Void} {cmd:reload}(copy=0)}{p_end} (run this if e.g. touse changes) + +{synopthdr:methods (LSMR-specific)} +{synoptline} + +{synopt:{it:Real} {cmd:lsmr_norm}()}{p_end} +{synopt:{it:Vector} {cmd:lsmr_A_mult}()}{p_end} +{synopt:{it:Vector} {cmd:lsmr_At_mult}()}{p_end} + + +{marker functions}{...} +{title:Additional functions} + +{pstd} +Several useful Mata functions are included. For instance, + +{p 8 16 2} +{it:void} +{cmd:reghdfe_solve_ols(}{it:HDFE} +{cmd:,} +{it:X}{cmd:,} +{it:...} +{cmd:)} + +{pstd} +See {stata "mata: mata desc using lreghdfe"} for full list of functions and classes. + + +{marker description}{...} +{title:Description} + +{pstd} +TBD + + +{marker example}{...} +{title:Example: OLS regression} + +{pstd} +TBD + + +{inp} + {hline 60} + sysuse auto, clear + local depvar price + local indepvars weight gear + mata: HDFE = fixed_effects("turn", "", "fweight", "trunk", 0, 2) + mata: HDFE.varlist = "`depvar' `indepvars'" + mata: HDFE.indepvars = "`indepvars'" + mata: data = HDFE.partial_out("`depvar' `indepvars'") + mata: reghdfe_solve_ols(HDFE, data, b=., V=., N=., rank=., df_r=., resid=., kept=., "vce_none") + mata: b + {hline 60} +{text} + + +{marker remarks}{...} +{title:Remarks} + +{pstd} +TBD + +{marker experimental}{...} +{title:Experimental/advanced functions} + +{pstd} +TBD (LSMR, Prune, Bipartite?) + +{marker source}{...} +{title:Source code} + +{pstd} +{view reghdfe.mata, adopath asis:reghdfe.mata}; +{view reghdfe_bipartite.mata, adopath asis:reghdfe_bipartite.mata}; +{view reghdfe_class.mata, adopath asis:reghdfe_class.mata}; +{view reghdfe_constructor.mata, adopath asis:reghdfe_constructor.mata}; +{view reghdfe_common.mata, adopath asis:reghdfe_common.mata}; +{view reghdfe_projections.mata, adopath asis:reghdfe_projections.mata}; +{view reghdfe_transforms.mata, adopath asis:reghdfe_transforms.mata}; +{view reghdfe_accelerations.mata, adopath asis:reghdfe_accelerations.mata}; +{view reghdfe_lsmr.mata, adopath asis:reghdfe_lsmr.mata} +{p_end} + +{pstd} +Also, the latest version is available online: {browse "https://github.com/sergiocorreia/reghdfe/tree/master/src"} + + +{marker author}{...} +{title:Author} + +{pstd}Sergio Correia{break} +{break} +{browse "http://scorreia.com"}{break} +{browse "mailto:sergio.correia@gmail.com":sergio.correia@gmail.com}{break} +{p_end} + + +{marker project}{...} +{title:More Information} + +{pstd}{break} +To report bugs, contribute, ask for help, etc. please see the project URL in Github:{break} +{browse "https://github.com/sergiocorreia/reghdfe"}{break} +{p_end} + + +{marker acknowledgment}{...} +{title:Acknowledgment} + +{pstd} +TBD diff --git a/30/replication_package/Adofiles/reghdfe_2019/reghdfe_old.ado b/30/replication_package/Adofiles/reghdfe_2019/reghdfe_old.ado new file mode 100644 index 0000000000000000000000000000000000000000..17be69fbf03be2b944d119e8086f92e9a9860c88 --- /dev/null +++ b/30/replication_package/Adofiles/reghdfe_2019/reghdfe_old.ado @@ -0,0 +1,4849 @@ +*! reghdfe 3.2.9 21feb2016 +*! Sergio Correia (sergio.correia@gmail.com) + + +// Mata code is first, then main reghdfe.ado, then auxiliary .ado files + +// ------------------------------------------------------------------------------------------------- +// Mata Code: Method of Alternating Projections with Acceleration +// ------------------------------------------------------------------------------------------------- + // To debug the mata code, uncomment this three lines, and then -do- the file + //discard + //pr drop _all + //clear all + +* Type Aliases + local Boolean real scalar + local Integer real scalar + local Real real scalar + local Vector real colvector + local Matrix real matrix + local Series real colvector // Should be N*1 + local Group real matrix // Should be N*K + local String string scalar + local Varname string scalar + local Varlist string rowvector // rowvector so they match tokens() + local Problem struct MapProblem scalar + local FE struct FixedEffect scalar + local FunctionPointer pointer(`Group' function) scalar // Used for the Accelerate & Transform fns + +// ------------------------------------------------------------------------------------------------- + +mata: +mata set matastrict on + //void assert_msg(real scalar t, | string scalar msg) + //{ + // if (args()<2 | msg=="") msg = "assertion is false" + // if (t==0) _error(msg) + //} + +// ------------------------------------------------------------------------------------------------- +// Structure of a Fixed Effect +// ------------------------------------------------------------------------------------------------- + + struct FixedEffect { + `Integer' order // "g", the position in varlist + `Varname' varlabel // Original label of this absvar + `Integer' num_slopes + `Integer' has_intercept + `Integer' levels // Number of categories spanned by the ivars + `Varlist' ivars // number of i.var elements + `Varlist' cvars // number of c.var elements or slopes + `Boolean' is_sortedby // 1 if the dataset is sorted by the ivars of this FE + `Varname' idvarname // (optional) Name of variable with the absvar categories + `Varlist' target // Name of the variable that will hold the estimates for the FE + + `Series' p // Permutation vector + `Series' inv_p // Precompute invorder(p) because we'll use it a lot + + `Vector' offsets // Pos. of last obs. with that category (when sorted) + `Vector' counts // number of obs. (weighted) with that value + `Group' x // Vector/Matrix of (optionally demeaned) cvars + `Matrix' inv_xx // Blocks of the inv(x'x) matrix; size KL*K (k=num_slopes, L=levels) + `Matrix' xmeans + + `Boolean' is_clustervar, in_clustervar + `Integer' nesting_clustervar // Clustervar that nests this FE, if any + + // Temporary matrices for the stored FEs + `Matrix' alphas + `Matrix' tmp_alphas + } + +// ------------------------------------------------------------------------------------------------- +// Structure of the MAP Problem +// ------------------------------------------------------------------------------------------------- + +struct MapProblem { + struct FixedEffect vector fes // The G*1 vector of FE structures + `Integer' G // Number of FEs when bunching slopes + `Boolean' has_intercept // 1 if the model is not a pure-slope one + `Varname' weightvar // Name variable contaning the fw/pw/aw + `String' weighttype // fw/pw/aw + `String' weights // "[weighttype=weightvar]" + `Series' w // Contents of variable contaning the fw/pw/aw + `Integer' verbose // Number of debug messages to show (0=None, 1=A little, 4=A *lot*) + `Integer' N // Number of obs; after map_precompute() the dataset CANNOT CHANGE! + `Varlist' keepvars // By default we drop cvars and ivars ASAP; this prevents it (useful for clustervars and for timevar+panelvar under HAC errors) + + `Boolean' will_save_fe // True if at least one FE will be saved + `Boolean' keepsingletons // If set to 1, it will not drop singletons (do not touch this!) + + `Integer' C // Number of cluster variables + `Varlist' clustervars + `Varlist' clustervars_original // Note: need to apply tokens() + `Varname' panelvar + `Varname' timevar + `Boolean' vce_is_hac + + `Boolean' timeit + `Varlist' sortedby // Variables on which the dataset is sorted (if anything) + + // Optimization parameters + `Integer' poolsize // Group variables when demeaning (more is faster but uses more memory) + `Real' tolerance + `Integer' maxiterations + `String' transform // Kaczmarz Cimmino Symmetric_kaczmarz (k c s) + `String' acceleration // Acceleration method. None/No/Empty is none\ + `Integer' accel_start // Iteration where we start to accelerate // set it at 6? 2?3? + + // Specific to Aitken's acceleration + `Integer' accel_freq + `Integer' stuck_threshold // Call the improvement "slow" when it's less than e.g. 1% + `Integer' bad_loop_threshold // If acceleration seems stuck X times in a row, pause it + `Integer' pause_length // This is in terms of candidate accelerations, not iterations (i.e. x3)? + + // Temporary + `Boolean' storing_betas + `Varname' groupvar // Name of the variable that will hold the mobility group + `Varname' grouptype // Long, double, etc. + `Varname' grouplabel + `Series' groupseries // The actual data of the mobility group variable + `Series' uid + `Series' resid + `Varname' residname + `Integer' num_iters_last_run + `Integer' num_iters_max + + // Temporary storage for DoFs + `Integer' dof_M + `Integer' dof_M_due_to_nested + `Integer' dof_KminusM + `Integer' dof_N_hdfe_extended + `Vector' doflist_M + `Vector' doflist_M_is_exact + `Vector' doflist_M_is_nested + `Vector' dof_SubGs +} + +real rowvector safe_divide(real rowvector numerator, real rowvector denominator, | real scalar epsi) { + // If the denominator goes below machine precision, the division explodes + if (args()<3) epsi = epsilon(1) + return( numerator :/ colmax(denominator \ J(1,cols(denominator),epsi)) ) +} + +// ------------------------------------------------------------------------------------------------- + +void verbose2local(`Problem' S, string scalar loc) { + st_local(loc, strofreal(S.verbose)) +} + +// ------------------------------------------------------------------------------------------------- + +void function store_uid(`Problem' S, `Varname' varname) { + S.uid = st_data(., varname) + assert_msg(rows(S.uid)==S.N, "assertion failed: rows(S.uid)==S.N") +} + +void function drop_uid(`Problem' S) { + S.uid = J(0,0,.) +} + +// ------------------------------------------------------------------------------------------------- + +void function store_resid(`Problem' S, `Varname' varname) { + S.resid = st_data(., varname) + S.residname = varname + assert_msg(rows(S.resid)==S.N, "assertion failed: rows(S.resid)==S.N") +} + +void function resid2dta(`Problem' S, `Boolean' original_dta, `Boolean' cleanup) { + if (original_dta) { + st_store(S.uid, st_addvar("double", S.residname), S.resid) + } + else { + st_store(., st_addvar("double", S.residname), S.resid) + } + + if (cleanup) { + S.resid = J(0,0,.) + S.residname = "" + } +} + +// ------------------------------------------------------------------------------------------------- + +void function groupvar2dta(`Problem' S, | `Boolean' original_dta) { + if (args()<2) original_dta = 1 + + // If grouptype has not been set, that's because there was no need to + // EG: Only one FE, or two FEs but one is the clustervar + if (S.grouptype!="") { + if (S.verbose>2) printf("{txt} - Saving identifier for the first mobility group: {res}%s\n", S.groupvar) + + if (original_dta) { + st_store(S.uid, st_addvar(S.grouptype, S.groupvar), S.groupseries) + S.groupseries = J(0,0,0) + } + else { + st_store(., st_addvar(S.grouptype, S.groupvar), S.groupseries) + } + + st_varlabel(S.groupvar, S.grouplabel) + } + else { + if (S.verbose>=0) printf("{txt}Note: mobility group not saved as there was no need to compute it (e.g. there are less than two absvars not nested within a cluster)\n") + } +} + +// ------------------------------------------------------------------------------------------------- + +void function drop_ids(`Problem' S) { + `Integer' g + for (g=1;g<=S.G;g++) { + if (!S.fes[g].is_clustervar & S.fes[g].target=="") st_dropvar(S.fes[g].idvarname) + } +} + +// ------------------------------------------------------------------------------------------------- + +void function esample2dta(`Problem' S, `Varname' esample) { + assert(length(S.uid)>0) + st_store(S.uid, st_addvar("byte", esample), J(rows(S.uid),1,1) ) +} + +// ------------------------------------------------------------------------------------------------- + +// Copy the fixed effect estimates (the alphas back into the original dataset) +void function alphas2dta(`Problem' S) { + `Integer' g, i + `Varlist' target + `String' varlabel + assert(S.will_save_fe==1) + if (S.verbose>1) printf("{txt} - Storing fixed effects in the original dataset\n") + for (g=1; g<=S.G; g++) { + target = S.fes[g].target + if (length(target)>0) { + st_store(S.uid, st_addvar("double", target), S.fes[g].alphas) + S.fes[g].alphas = J(0,0,0) + for (i=1; i<=length(target);i++) { + varlabel = invtokens(S.fes[g].ivars, "#") + if (i>1 | !S.fes[g].has_intercept) varlabel = varlabel + "#c." + S.fes[g].cvars[i-S.fes[g].has_intercept] + st_varlabel(target[i], sprintf("[FE] %s", varlabel)) + } + } + } +} + +// Parse absvars and initialize the almost empty MapProblem struct +`Problem' function map_init() +{ + `Integer' g, G, num_slopes, has_intercept, i, H, j + `Problem' S + `Boolean' auto_target // Automatically assign target names to all FEs + `Varname' basetarget + `Varlist' target, original_absvars, extended_absvars + `String' equation_d + `Boolean' equation_d_valid + pointer(`FE') fe + + S.weightvar = S.weighttype = S.weights = "" + S.verbose = 0 + S.transform = "symmetric_kaczmarz" // cimmino ? + S.acceleration = "conjugate_gradient" + S.tolerance = 1e-8 + S.maxiterations = 1e4 + S.accel_start = 6 + S.poolsize = 10 + + // If clustering by timevar or panelvar and VCE is HAC, we CANNOT touch the clustervars to create compact ids! + S.timevar = "" + S.panelvar = "" + S.vce_is_hac = 0 + + // Specific to Aitken: + S.accel_freq = 3 + S.pause_length = 20 + S.bad_loop_threshold = 1 + S.stuck_threshold = 5e-3 + S.N = . + + S.groupvar = "" // Initialize as empty + S.grouptype = "" // Initialize as empty + S.sortedby = "" // Initialize as empty (prevents bugs if we change the dataset before map_precompute) + + + S.keepsingletons = 0 + S.G = G = st_numscalar("r(G)") + S.has_intercept = st_numscalar("r(has_intercept)") + S.C = 0 + S.clustervars = S.clustervars_original = J(0,0,"") + S.fes = FixedEffect(G) + S.will_save_fe = 0 + auto_target = st_numscalar("r(savefe)") + assert(auto_target==1 | auto_target==0) + if (auto_target) stata(sprintf("cap drop __hdfe*__*")) + + original_absvars = extended_absvars = J(1, G, "") + + for (g=1; g<=G; g++) { + fe = &(S.fes[g]) + // recall a->b is the same as (*a).b + num_slopes = st_numscalar(sprintf("r(num_slopes%f)",g)) + has_intercept = st_numscalar(sprintf("r(has_intercept%1.0f)",g)) + + fe->order = g + fe->num_slopes = num_slopes + fe->has_intercept = has_intercept + fe->varlabel = st_global(sprintf("r(varlabel%f)",g)) + fe->ivars = tokens(st_global( sprintf("r(ivars%f)",g) )) + fe->cvars = tokens(st_global( sprintf("r(cvars%f)",g) )) + fe->idvarname = sprintf("__ID%f__", g) + fe->levels = . + fe->target = J(0,0,"") + fe->is_clustervar = 0 + fe->in_clustervar = 0 + fe->nesting_clustervar = . + + extended_absvars[g] = original_absvars[g] = invtokens(fe->ivars, "#") + if (num_slopes>0) { + original_absvars[g] = original_absvars[g] + (has_intercept ? "##c." : "#c.") + original_absvars[g] = original_absvars[g] + (num_slopes==1 ? (fe->cvars) : "("+invtokens(fe->cvars)+")") + + extended_absvars[g] = (has_intercept ? extended_absvars[g] + " " : "") + invtokens(extended_absvars[g] + "#c." :+ (fe->cvars)) + } + + basetarget = st_global(sprintf("r(target%f)",g)) + if (basetarget=="" & auto_target) basetarget = sprintf("__hdfe%f__", g) + if (basetarget!="") { + S.will_save_fe = 1 + target = J(1, has_intercept + num_slopes, basetarget) + if (has_intercept) stata(sprintf("confirm new variable %s", target[1])) + for (i=1+has_intercept; i<=length(target); i++) { + target[i] = target[i] + sprintf("_Slope%f", i-has_intercept) + stata(sprintf("confirm new variable %s", target[i])) + } + fe->target = target + } + } + + equation_d_valid = 1 + equation_d = "" + for (g=1; g<=S.G; g++) { + H = S.fes[g].has_intercept + S.fes[g].num_slopes + if (length(S.fes[g].target)==0) { + equation_d_valid = 0 + break + } + assert(length(S.fes[g].target==H)) + + j = 0 + for (i=1; i<=H;i++) { + equation_d = equation_d + sprintf("%s%s", equation_d=="" ? "" : " + ", S.fes[g].target[i]) + if (i>1 | !S.fes[g].has_intercept) j++ // j is the cvar counter + if (j>0) equation_d = equation_d + sprintf(" * %s", S.fes[g].cvars[j]) + } + } + if (equation_d_valid) st_global("r(equation_d)", invtokens(equation_d) ) + + st_numscalar("r(will_save_fe)", S.will_save_fe) + st_global("r(original_absvars)", invtokens(original_absvars) ) + st_global("r(extended_absvars)", invtokens(extended_absvars) ) + return(S) +} + +void function map_init_clustervars(`Problem' S, `String' clustervars) { + S.clustervars = S.clustervars_original = tokens(clustervars) + S.C = length(S.clustervars) +} + +void function map_init_weights(`Problem' S, `Varname' weightvar, `String' weighttype) { + assert_msg(weightvar!="" & weighttype!="", "map_init_weights() requires weight var and type") + stata(sprintf("confirm numeric variable %s, exact", weightvar)) + assert_msg(anyof(("fweight", "pweight", "aweight"), weighttype), "wrong weight type") + S.weightvar = weightvar + S.weighttype = weighttype + S.weights = sprintf("[%s=%s]", weighttype, weightvar) +} + +void function map_init_keepvars(`Problem' S, `Varname' keepvars) { + //if (keepvars!="") stata(sprintf("confirm numeric variable %s, exact", keepvars)) + S.keepvars = tokens(keepvars) +} + +void function map_init_transform(`Problem' S, `String' transform) { + transform = strlower(transform) + // Convert abbreviations + if (strpos("cimmino", transform)==1) transform = "cimmino" + if (strpos("kaczmarz", transform)==1) transform = "kaczmarz" + if (strpos("symmetric_kaczmarz", transform)==1) transform = "symmetric_kaczmarz" + if (strpos("rand_kaczmarz", transform)==1) transform = "random_kaczmarz" // experimental + if (strpos("random_kaczmarz", transform)==1) transform = "random_kaczmarz" // experimental + assert_msg(anyof(("cimmino","kaczmarz","symmetric_kaczmarz", "random_kaczmarz"),transform), "invalid transform") + S.transform = transform +} + +void function map_init_verbose(`Problem' S, `Integer' verbose) { + assert_msg(round(verbose)==verbose, "verbose must be an integer") + assert_msg(0<=verbose & verbose<=5, "verbose must be between 0 and 5") + S.verbose = verbose +} + +void function map_init_timeit(`Problem' S, `Integer' timeit) { + assert_msg(timeit==0 | timeit==1, "timeit must be 0 or 1") + S.timeit = timeit +} + +void function map_init_poolsize(`Problem' S, `Integer' poolsize) { + assert_msg(round(poolsize)==poolsize & poolsize>0, "poolsize must be a positive integer") + S.poolsize = poolsize +} + +void function map_init_panelvar(`Problem' S, `Varname' panelvar) { + S.panelvar = panelvar +} + +void function map_init_timevar(`Problem' S, `Varname' timevar) { + S.timevar = timevar +} + +void function map_init_groupvar(`Problem' S, `Varname' groupvar) { + S.groupvar = groupvar +} + +void function map_init_acceleration(`Problem' S, `String' acceleration) { + acceleration = strlower(acceleration) + // Convert abbreviations + if (strpos("conjugate_gradient", acceleration)==1 | acceleration=="cg") acceleration = "conjugate_gradient" + if (strpos("steepest_descent", acceleration)==1 | acceleration=="sd") acceleration = "steepest_descent" + if (strpos("aitken", acceleration)==1) acceleration = "aitken" + if (strpos("hybrid", acceleration)==1) acceleration = "hybrid" // experimental + if (acceleration=="no" | acceleration=="none" | acceleration=="off") acceleration = "none" + assert_msg(anyof(("conjugate_gradient","steepest_descent", "aitken", "none", "hybrid"),acceleration), "invalid acceleration") + S.acceleration = acceleration +} + +void function map_init_tolerance(`Problem' S, `Real' tolerance) { + assert_msg(1e-16<=tolerance & tolerance<1, "tolerance must be in the range [1e-16, 1).") + S.tolerance = tolerance +} + +void function map_init_maxiterations(`Problem' S, `Integer' maxiterations) { + assert_msg(round(maxiterations)==maxiterations, "maxiterations must be an integer") + assert_msg(maxiterations>0, "maxiterations must be positive") + S.maxiterations = maxiterations +} + +void function map_init_keepsingletons(`Problem' S, `Boolean' keepsingletons) { + assert_msg(keepsingletons==0 | keepsingletons==1, "keepsingletons must be 0 or 1") + S.keepsingletons = keepsingletons +} + +void function map_init_vce_is_hac(`Problem' S, `Boolean' vce_is_hac) { + assert_msg(vce_is_hac==0 | vce_is_hac==1, "vce_is_hac must be 0 or 1") + S.vce_is_hac = vce_is_hac +} + +void function map_precompute(`Problem' S) { + `Integer' i, g, h, value + `Varlist' keepvars, cl_ivars + transmorphic counter, loc + `Varname' key + `String' all_clustervars + `Boolean' has_intercept + if (S.verbose>0) printf("\n{txt}{bf:mata: map_precompute()}\n") + + // Warn if there are no fixed intercepts (i.e. heterogeneous intercepts) + has_intercept = 0 + for (g=1; g<=S.G; g++) { + if (S.fes[g].has_intercept) has_intercept = 1 + } + if (has_intercept==0) printf("{txt}(WARNING: no intercepts terms in absorb(); regression lacks constant term)\n") + + // Count how many times each var is used, so we can drop them when the counter reaches zero + counter = asarray_create() + asarray_notfound(counter, 0) + // Variables passed through map_init_keepvars() + keepvars = S.keepvars + // ivars and cvars of the FEs + for (g=1; g<=S.G; g++) { + keepvars = keepvars, S.fes[g].ivars , S.fes[g].cvars + } + // Weight var + if (S.weightvar!="") keepvars = keepvars, S.weightvar + // Cluster vars + for (h=1; h<=S.C; h++) { + cl_ivars = tokens(S.clustervars[h], "#") + cl_ivars = select(cl_ivars, cl_ivars:!="#") + keepvars = keepvars, cl_ivars + } + // Time and panel vars + if (S.vce_is_hac & S.timevar!="") keepvars = keepvars, S.timevar + if (S.vce_is_hac & S.panelvar!="") keepvars = keepvars, S.panelvar + + // Fill + for (i=1; i<=length(keepvars); i++) { + asarray(counter, keepvars[i], asarray(counter, keepvars[i])+1) + } + + // Report + if (S.verbose>3) printf("{txt}{bf: 0. Usage count of each variable (dropped if it reaches zero)}\n") + for (i=1; i<=asarray_elements(counter); i++) { + if (S.verbose>3) printf("{txt} - key=%s {col 30}count=%f\n", keepvars[i], asarray(counter,keepvars[i])) + } + + // 0. Store sort order (used in steps 1 and 3) + S.sortedby = tokens(st_macroexpand("`" + ": sortedby" + "'")) + + // 1. Store permutation vectors and their invorder, generate ID variables, drop singletons + if (S.verbose>0) printf("{txt}{bf: 1. Storing permutation vectors, generating ids, dropping singletons}\n") + if (S.timeit) timer_on(21) + map_precompute_part1(S, counter) + if (S.timeit) { + timer_off(21) + printf("{res}{col 20}%6.3f{txt}{col 30}precompute 1 (sorts, ids, drop singletons)\n", timer_value(21)[1]) + timer_clear(21) + } + + // 2. Store group offsets, group counters; demeaned(x), inv(xx) if num_slopes>0; weightvars + if (S.verbose>0) printf("{txt}{bf: 2. Storing counters and offsets; processing cvars}\n") + if (S.timeit) timer_on(22) + map_precompute_part2(S, counter) + if (S.timeit) { + timer_off(22) + printf("{res}{col 20}%6.3f{txt}{col 30}precompute 2 (counters, offsets, cvars)\n", timer_value(22)[1]) + timer_clear(22) + } + + // 3. Create cluster IDs, report whether is/in/nested wrt cluster; store precomputed inv(p) + if (S.verbose>0) printf("{txt}{bf: 3. Storing reverse permutation vectors, creating cluster IDs}\n") + if (S.timeit) timer_on(23) + map_precompute_part3(S, counter) + if (S.timeit) { + timer_off(23) + printf("{res}{col 20}%6.3f{txt}{col 30}precompute 3 (reverse permutations, cluster ids)\n", timer_value(23)[1]) + timer_clear(23) + } + + // 4. Keep only the essential variables + keepvars = J(1,0,"") + for (loc=asarray_first(counter); loc!=NULL; loc=asarray_next(counter, loc)) { + key = asarray_key(counter, loc) + value = asarray_contents(counter, loc) + if (value>0) keepvars = keepvars, key + } + if (S.verbose>3) printf("{txt}{bf: 4. Keeping the following variables}") + st_keepvar(keepvars) + // if (S.verbose>3) printf("\n{txt} %s\n", invtokens(keepvars)) + if (S.verbose>3) stata("describe _all, numbers") // This resets r(..)! + if (S.verbose>3) printf("\n") + + // Store N (todo: add other details) to ensure the dataset doesn't change from now on + S.N = st_nobs() + + // Store updated clustervars (run after describe!) + for (h=1; h<=S.C;h++) { + all_clustervars = all_clustervars, S.clustervars[h] + } + st_rclear() + st_global("r(updated_clustervars)", invtokens(all_clustervars)) +} + +void map_precompute_part1(`Problem' S, transmorphic counter) { + + `Integer' G, i, j, n, g, h, i_last_singleton, num_singletons, initial_N + `Boolean' sortedby + `Group' id + `Series' singleton, sum_singleton, inv_p + `Varlist' idvarnames + string scalar vartype + pointer(`Series') scalar pp // Just to shorten code + + G = length(S.fes) + i = i_last_singleton = g = 1 + + // Give huge warning if keeping singletons + if (S.keepsingletons) printf(`"{txt}(WARNING: singletons are not dropped; statistical significance might be biased {browse "http://scorreia.com/reghdfe/nested_within_cluster.pdf":[link]})\n"') + + initial_N = st_nobs() + + // Loop until we stop discovering singletons (and then a bit more to be sure; G-1 to be exact) + while (iG) g = 1 + if (S.verbose>1) printf("{txt} - i=%f (g=%f/%f)\t(N=%f)\t", i, g, G, st_nobs()) + + idvarnames = i<=G ? S.fes[g].ivars : S.fes[g].idvarname + id = st_data(., idvarnames) // 2% of runtime + if (i<=G) { + for (j=1; j<=length(idvarnames); j++) { + n = asarray(counter, idvarnames[j]) - 1 + asarray(counter, idvarnames[j], n) + if (n==0) { + st_dropvar(idvarnames[j]) + } + } + } + if (i<=G) S.fes[g].is_sortedby = already_sorted(S, idvarnames) + sortedby = S.fes[g].is_sortedby + if (i<=G & !sortedby) { + if (S.timeit) timer_on(31) + S.fes[g].p = order( id , 1..length(idvarnames) ) // 55% of function time + if (S.timeit) { + timer_off(31) + printf("{res}{col 30}%6.3f{txt}{col 40}mata order()\n", timer_value(31)[1]) + timer_clear(31) + } + } + + if (!sortedby) { + _collate(id, S.fes[g].p) // sort id by p // 12% of function time + inv_p = invorder(S.fes[g].p) // construct inv(p) that we'll use later + } + + // Note that the lhs is actually the deltas, as in "bys id: gen delta = _n==1" + id = rows_that_change(id) // 7% of function time + if (!S.keepsingletons) singleton = select_singletons(id) // 5% of function time + + // Save IDs in dataset before dropping observations + id = S.keepsingletons ? runningsum(id) : runningsum(id :* !singleton) // this is the ID now, not the deltas anymore + S.fes[g].levels = id[length(id)] + vartype = S.fes[g].levels<=100 ? "byte" : (S.fes[g].levels<=32740? "int" : "long") + if (i<=G) { + st_store(., st_addvar(vartype, S.fes[g].idvarname), sortedby? id : id[inv_p]) + } + else { + st_store(., S.fes[g].idvarname, sortedby? id : id[inv_p]) + } + + num_singletons = S.keepsingletons ? 0 : sum(singleton) + if (num_singletons>0) { + if (S.verbose>1) printf("{txt}(%f singletons)", num_singletons) + i_last_singleton = i + + // Sort -singleton- as in the dataset, and use it to drop observations + // 5% of function time + singleton = sortedby? singleton : singleton[inv_p] + st_dropobsif(singleton) + if (!st_nobs()) { + printf("{err}\nno observations left after dropping singletons (%f obs. dropped)\n", initial_N) + exit(error(2001)) + } + + // But now our precious sort orders (the p's) are useless! Fix them + sum_singleton = runningsum(singleton) + for (h=1;h<=G & h<=i; h++) { // 6% of function time + if (S.fes[h].is_sortedby) continue + pp = &(S.fes[h].p) + (*pp) = select(*pp - sum_singleton[*pp] , !singleton[*pp] ) + } + } + + if (S.verbose>1) printf("{txt}\n") + i++ + g++ + } + + if (initial_N>st_nobs()) printf("{txt}(dropped %f singleton observations)\n", initial_N-st_nobs()) +} + +// ------------------------------------------------------------- +// ALREADY_SORTED: +// ------------------------------------------------------------- +`Integer' already_sorted(`Problem' S, string vector vars) { + return(length(vars) > length(S.sortedby) ? 0 : vars==S.sortedby[1..length(vars)]) +} + +// ------------------------------------------------------------- +// ROWS_THAT_CHANGE: Return a 0/1 vector indicating what are diff from the previous row +// ------------------------------------------------------------- + // Idea: compromise between doing the operation in one go (uses lots of memory) vs doing loops (2x slower) + // Other alternatives: loop row-by-row (slower), loop col-by-col and take max() (slower) +`Vector' rows_that_change(`Matrix' input) { + `Vector' ans + `Integer' i, j, K, N, stepsize + + // Size of blocks of matrices used (larger=faster smaller=less memory) + // Benchmarks with 3 unsorted ivars showed 1e4 was fastest, followed by 1e3 and then 1e5 + stepsize = 1e4 + + N = rows(input) + K = cols(input) + ans = J(N,1,0) + ans[1] = 1 + for (i=2; i<=N;i=i+stepsize) { + j = min((i+stepsize-1, N)) + ans[|i\j|] = rowmax(input[|i-1,1\j-1,K|] :!= input[|i,1\j,K|]) + } + return(ans) +} + +// ------------------------------------------------------------- +// SELECT_SINGLETONS: +// ------------------------------------------------------------- +`Vector' select_singletons(`Vector' input) { + // Code modified from + `Vector' ans + `Integer' i, j, N, stepsize + + // Size of blocks of matrices used (larger= hopefully faster, but smaller=less memory) + // Benchmarks with 3 unsorted ivars showed 1e4 was fastest, followed by 1e3 and then 1e5 + stepsize = 1e4 + + N = rows(input) + ans = J(N,1,0) + for (i=1; i<=N-1;i=i+stepsize) { + j = min((i+stepsize-1, N-1)) + // We need that ans[i]==1 and ans[i+1]==1 + // Since ans is either 0 or 1, this is equivalent to + ans[|i\j|] = (input[|i\j|] + input[|i+1\j+1|] :== 2) + } + ans[N] = (input[N]==1) // Special case, last obs is singleton if it's the first obs in the group + return(ans) +} + +void map_precompute_part2(`Problem' S, transmorphic counter) { + `Integer' G, g, k, K, n + real scalar stdev + `Boolean' sortedby + `Series' id + + G = length(S.fes) + if (S.weightvar!="") S.w = st_data(., S.weightvar) + + for (g=1; g<=G; g++) { + sortedby = S.fes[g].is_sortedby + K = S.fes[g].num_slopes + assert(K==length(S.fes[g].cvars)) + if (S.verbose>1) printf("{txt} - g=%f/%f\t\t(K=%f)\n", g, G, K) + + id = st_data(., S.fes[g].idvarname) + if (!sortedby) id = id[S.fes[g].p] + + // Store offsets, counts (optionally weighted) + S.fes[g].counts = count_by_group(id) // this line accounts for 95% of the runtime of map_precompute_part2() + S.fes[g].offsets = runningsum(S.fes[g].counts) + if (S.weightvar!="") S.fes[g].counts = count_by_group(id, sortedby? S.w : S.w[S.fes[g].p]) + + // Store cvars and related structures + if (K>0) { + + // Store the cvars + S.fes[g].x = st_data(., S.fes[g].cvars) + + // Drop cvars from dataset if not needed anymore + for (k=1; k<=K; k++) { + n = asarray(counter, S.fes[g].cvars[k]) - 1 + asarray(counter, S.fes[g].cvars[k], n) + if (n==0) { + st_dropvar(S.fes[g].cvars[k]) + } + } + + // Sort the cvars if needed + if (!sortedby) S.fes[g].x = S.fes[g].x[S.fes[g].p,] + + // Standardize + // BUGBUG: Check that results don't change; specially on corner cases + // EG: weights, no intercept, intercept, only one slope, etc. + for (k=1; k<=K; k++) { + // BUGBUG + stdev = 1 // sqrt(quadvariance(S.fes[g].x[., k])) + if (stdev<1e-5) stdev = 1e-5 // Reduce accuracy errors + S.fes[g].x[., k] = S.fes[g].x[., k] :/ stdev + } + + // Demean X and precompute inv(X'X) (where X excludes the constant due to demeaning, if applicable) + // Note that the demeaning is done directly in the S. structure + S.fes[g].inv_xx = demean_and_compute_invxx(S, g) + } // end of slope part + + } // next g +} + +// ------------------------------------------------------------- +// COUNT_BY_GROUP: alternative to mm_freq(group) (~10% of runtime) +// ------------------------------------------------------------- +// Assume -id- (groups) and -w- (the weights) are sorted by id! +`Vector' function count_by_group(`Series' id, | `Series' w) +{ + `Integer' i, j, obs, levels, count + `Boolean' has_weights + `Vector' ans + + obs = rows(id) + levels = id[length(id)] + assert_msg(obs>levels, "Error: more levels of FE than observations!") + has_weights = args()>1 + + ans = J(levels, 1, 0) + count = 0 + + // Avoid conditional op. within loop as it gets *really* slow + // indexes observations, indexes groups + if (has_weights) { + for (i=j=1; i<=obs; i++) { + if (id[i]>j) { + ans[j++] = count + count = 0 + } + count = count + w[i] + } + } + else { + for (i=j=1; i<=obs; i++) { + if (id[i]>j) { + ans[j++] = count + count = 0 + } + ++count + } + } + + ans[j] = count // Last group + assert( all(ans) ) // Counts *must* be positive for all levels + return(ans) +} + +// ------------------------------------------------------------- +// DEMEAN_AND_COMPUTE_INVXX +// ------------------------------------------------------------- +`Matrix' function demean_and_compute_invxx(`Problem' S, `Integer' g) { + + // j iterates over LEVELS; i iterates over OBS + `Integer' K, L, j, i_lower, i_upper + `Boolean' has_weights, sortedby, has_intercept + `Matrix' ans, tmp_x + `Vector' w, tmp_w + real scalar tmp_count + K = S.fes[g].num_slopes // Exclude intercept + L = S.fes[g].levels + ans = J(L*K, K, 0) + has_weights = S.weightvar !="" + sortedby = S.fes[g].is_sortedby + has_intercept = S.fes[g].has_intercept + + if (has_weights) { + w = sortedby ? S.w : S.w[S.fes[g].p] + assert(rows(w)==rows(S.fes[g].x)) + } + + if (has_intercept) S.fes[g].xmeans = J(L, K, .) + + i_lower = 1 + for (j=1; j<=L; j++) { + i_upper = S.fes[g].offsets[j] + tmp_count = S.fes[g].counts[j] + tmp_w = has_weights ? w[| i_lower \ i_upper |] : 1 + tmp_x = S.fes[g].x[| i_lower , 1 \ i_upper , . |] + if (has_intercept) { + S.fes[g].xmeans[j, .] = quadcolsum(has_weights ? tmp_x :* tmp_w : tmp_x) / tmp_count + S.fes[g].x[| i_lower , 1 \ i_upper , . |] = tmp_x = tmp_x :- S.fes[g].xmeans[j, .] + } + ans[| 1+(j-1)*K , 1 \ j*K , . |] = invsym(quadcross(tmp_x, tmp_w, tmp_x)) + i_lower = i_upper + 1 + + // BUGBUG: quadcolsum???? quadcross???? + // use crossdev(x,means,w,x,means) if we don't demean beforehand + } + return(ans) +} + +void map_precompute_part3(`Problem' S, transmorphic counter) { + `Integer' g, h, i, j, n, L, i_lower, i_upper + `Varname' var + `Boolean' done, is_nested, sortedby, hac_exception + `Vector' need_to_create_clustervar, range + `Varlist' sorted_fe_ivars, sorted_cl_ivars, cl_ivars + `String' vartype + `Group' id + `Series' p, sorted_cl_id + + need_to_create_clustervar = J(S.C, 1, 1) + + for (g=1;g<=S.G;g++) { + S.fes[g].inv_p = invorder(S.fes[g].p) + var = S.fes[g].idvarname + st_varlabel(var, sprintf("[ID] %s", S.fes[g].varlabel)) + asarray(counter, var, asarray(counter, var)+1) + + done = 0 + sorted_fe_ivars = sort(S.fes[g].ivars', 1)' + + // 1. Check if the FE has the same ivars as a cluster (is_clustervar=1) + for (h=1; h<=S.C;h++) { + sorted_cl_ivars = tokens(S.clustervars[h], "#") + sorted_cl_ivars = sort(select(sorted_cl_ivars, sorted_cl_ivars:!="#")', 1)' + hac_exception = (sorted_cl_ivars==S.panelvar | sorted_cl_ivars==S.timevar) & S.vce_is_hac + if (sorted_fe_ivars==sorted_cl_ivars & !hac_exception) { + need_to_create_clustervar[h] = 0 + S.clustervars[h] = var + st_varlabel(var, sprintf("[CLUSTER] %s", st_varlabel(var))) + S.fes[g].is_clustervar = 1 + done = 1 + break + } + } + } + + // Create the cluster IDs if needed + for (h=1; h<=S.C;h++) { + cl_ivars = tokens(S.clustervars_original[h], "#") + cl_ivars = select(cl_ivars, cl_ivars:!="#") + + + for (j=1; j<=length(cl_ivars); j++) { + n = asarray(counter, cl_ivars[j]) - 1 + assert_msg(n>=0, sprintf("counter[%s] was negative", cl_ivars[j])) + asarray(counter, cl_ivars[j], n) + } + + if (!need_to_create_clustervar[h]) continue + if (cl_ivars==S.panelvar & S.vce_is_hac) continue + if (cl_ivars==S.timevar & S.vce_is_hac) continue + + id = st_data(., cl_ivars) + + // Construct and save cluster ID + sortedby = already_sorted(S, cl_ivars) + p = order( id , 1..length(cl_ivars) ) + if (!sortedby) { + _collate(id, p) // sort id by p // 12% of function time + } + id = runningsum(rows_that_change(id)) + L = id[rows(id)] + vartype = L<=100 ? "byte" : (L<=32740? "int" : "long") + S.clustervars[h] = sprintf("__CL%f__", h) + asarray(counter, S.clustervars[h], asarray(counter, S.clustervars[h])+1) + st_store(., st_addvar(vartype, S.clustervars[h]), sortedby ? id : id[invorder(p)]) + st_varlabel(S.clustervars[h], sprintf("[CLUSTER] %s", S.clustervars_original[h])) + } + + for (g=1;g<=S.G;g++) { + var = S.fes[g].idvarname + if (S.fes[g].is_clustervar) continue + done = 0 + sorted_fe_ivars = sort(S.fes[g].ivars', 1)' + + // 2. Check if the FE ivars are a superset of those of the cluster (in_clustervar=1) + for (h=1; h<=S.C;h++) { + sorted_cl_ivars = tokens(S.clustervars_original[h], "#") + sorted_cl_ivars = sort(select(sorted_cl_ivars, sorted_cl_ivars:!="#"), 1) + if (length(sorted_cl_ivars)>=length(sorted_fe_ivars)) continue + is_nested = 1 + for (i=1;i<=length(sorted_cl_ivars);i++) { + if (!anyof(sorted_fe_ivars, sorted_cl_ivars[i])) { + is_nested = 0 + break + } + } + if (is_nested) { + S.fes[g].in_clustervar = 1 + S.fes[g].nesting_clustervar = h + done = 1 + break + } + } + if (done) continue + + // 3. Check if the FE is nested within a cluster (e.g. cluster=state FE=zipcode) + L = S.fes[g].levels + for (h=1; h<=S.C; h++) { + sorted_cl_id = st_data(., S.clustervars[h]) + if (!S.fes[g].is_sortedby) sorted_cl_id = sorted_cl_id[S.fes[g].p] + i_lower = 1 + is_nested = 1 + for (j=1; j<=L; j++) { + i_upper = S.fes[g].offsets[j] + range = minmax(sorted_cl_id[| i_lower , 1 \ i_upper , . |]) + i_lower = i_upper + 1 + if (range[1]!=range[2]) { + is_nested = 0 + break + } + } + if (is_nested) { + S.fes[g].in_clustervar = 1 + S.fes[g].nesting_clustervar = h + break + } + } + } +} + +`Group' function map_projection(`Problem' S, `Integer' g, `Group' y) { + `Integer' K, L, Q // Q is the number of depvars + `Integer' j, i_lower, i_upper // j loops over levels, i loops over observations + `Boolean' has_weights, sortedby, has_intercept, storing_betas + `Series' sorted_w + `Group' ans + `Vector' tmp_w, tmp_count + real rowvector b + real rowvector ymean, alpha // 1*Q + real rowvector zero // 1*K + `Matrix' tmp_y, tmp_x + pointer(`Series') scalar p_sorted_w + pragma unset sorted_w // If we just set the pointer, what happens to the underlying data? + + // PROFILE TO SEE IF THIS HELPS OR NOT AT ALL + //pointer(`Vector') scalar p_offset + //p_offset = &(S.fes[g].offsets) + + has_weights = S.weightvar !="" + sortedby = S.fes[g].is_sortedby + has_intercept = S.fes[g].has_intercept + K = S.fes[g].num_slopes + Q = cols(y) + L = S.fes[g].levels + tmp_w = 1 // Harmless value for when there are no weights + + // Minimize copy+order operations on y + if (has_weights) p_sorted_w = sortedby ? &(S.w) : &(sorted_w = S.w[S.fes[g].p, .]) + if (K>0) zero = J(1,K,0) + + ans = sortedby ? y : y[S.fes[g].p, .] + + i_lower = 1 + storing_betas = S.storing_betas & length(S.fes[g].target)>0 + for (j=1; j<=L; j++) { + i_upper = S.fes[g].offsets[j] + tmp_count = S.fes[g].counts[j] + + if (has_weights) tmp_w = (*p_sorted_w)[| i_lower \ i_upper |] + tmp_y = ans[| i_lower , 1 \ i_upper , . |] + // BUGBUG: quadcolsum or colsum ? Depends if there are dense FEs. Maybe condition it on L?? + if (has_weights) { + ymean = has_intercept ? (quadcolsum(tmp_y :* tmp_w) / tmp_count) : 0 + } + else { + ymean = has_intercept ? (quadcolsum(tmp_y) / tmp_count) : 0 + } + + if (K>0) { + tmp_x = S.fes[g].x[| i_lower , 1 \ i_upper , . |] + // BUGBUG crossdev/cross or their quad version? + if (has_intercept) { + b = S.fes[g].inv_xx[| 1+(j-1)*K , 1 \ j*K , . |] * quadcrossdev(tmp_x, zero, tmp_w, tmp_y, ymean) + alpha = ymean - S.fes[g].xmeans[j, .] * b + } + else { + b = S.fes[g].inv_xx[| 1+(j-1)*K , 1 \ j*K , . |] * quadcross(tmp_x, tmp_w, tmp_y) + } + } + + if (storing_betas) { + if (has_intercept) S.fes[g].tmp_alphas[j, 1] = K==0 ? ymean : alpha + if (K>0) S.fes[g].tmp_alphas[j, (has_intercept+1)..(has_intercept+K) ] = b' + } + + // BUGBUG if we split this ternary will it be faster? + //ans[| i_lower , 1 \ i_upper , . |] = K>0 ? (ymean :+ tmp_x*b) : (ymean :+ J(i_upper-i_lower+1,Q,0)) + if (K==0) { + ans[| i_lower , 1 \ i_upper , . |] = ymean :+ J(i_upper-i_lower+1,Q,0) + } + else if (has_intercept) { + ans[| i_lower , 1 \ i_upper , . |] = ymean :+ tmp_x*b + } + else { + ans[| i_lower , 1 \ i_upper , . |] = tmp_x*b + } + + + i_lower = i_upper + 1 + } + + return(sortedby ? ans : ans[S.fes[g].inv_p, .]) +} + +void function map_solve(`Problem' S, `Varlist' vars, | `Varlist' newvars, `Boolean' restore_dta) { + + `Integer' i, j, h, Q + `Group' y, residuals + `Varlist' chars + real rowvector stdevs + `FunctionPointer' transform, accelerate + + if (S.verbose>0) printf("{txt}{bf:mata: map_solve()}\n") + assert_msg(S.N!=., "map_solve() needs to be run after map_precompute()") + assert_msg(S.N==st_nobs(), "dataset cannot change after map_precompute()") + S.storing_betas = 0 + + if (S.verbose>0) printf("{txt} - Loading variables into Mata\n") + vars = tokens(vars) + Q = cols(vars) + + // Store chars var[name] that contain the original varname (e.g. L.var) + chars = J(1, Q, "") + for (i=1;i<=Q;i++) { + chars[i] = st_global(sprintf("%s[name]", vars[i])) + } + + // Optional arguments + newvars = (args()<3 | newvars=="") ? vars : tokens(newvars) + assert_msg(length(vars)==length(newvars), "map_solve error: newvars must have the same size as vars") + if (args()<4) restore_dta = 0 // restore dataset (only for hdfe.ado) + assert_msg(restore_dta==0 | restore_dta==1, "restore_dta must be 0 or 1") + + // Solver Warnings + if (S.transform=="kaczmarz" & S.acceleration=="conjugate_gradient") { + printf("{err}(WARNING: convergence is {bf:unlikely} with transform=kaczmarz and accel=CG)\n") + } + + // Load transform pointer + if (S.transform=="cimmino") transform = &transform_cimmino() + if (S.transform=="kaczmarz") transform = &transform_kaczmarz() + if (S.transform=="symmetric_kaczmarz") transform = &transform_sym_kaczmarz() + if (S.transform=="random_kaczmarz") transform = &transform_rand_kaczmarz() + + // Pointer to acceleration routine + if (S.acceleration=="none") accelerate = &accelerate_none() + if (S.acceleration=="conjugate_gradient") accelerate = &accelerate_cg() + if (S.acceleration=="steepest_descent") accelerate = &accelerate_sd() + if (S.acceleration=="aitken") accelerate = &accelerate_aitken() + if (S.acceleration=="hybrid") accelerate = &accelerate_hybrid() + + // Shortcut for trivial case (1 FE) + if (S.G==1) accelerate = &accelerate_none() + + // Iterate on variables grouped by poolsize: subset = data[i..j] + S.num_iters_max = 0 + if (restore_dta) residuals = J(S.N, 0, .) + + for (i=1;i<=Q;i=i+S.poolsize) { + + j = i + S.poolsize - 1 + if (j>Q) j = Q + + // Load data + y = st_data(., vars[i..j]) + + // Drop loaded vars as quickly as possible (also they might not even be -double-) + st_dropvar(vars[i..j]) + + // Standardize variables + if (S.verbose>0) printf("{txt} - Standardizing variables\n") + stdevs = J(1, cols(y), .) + for (h=1; h<=cols(y); h++) { + stdevs[h] = max(( sqrt(quadvariance(y[., h])) , sqrt(epsilon(1)) )) + } + y = y :/ stdevs + + // Solve! + if (S.verbose>0) printf("{txt} - Solving problem (acceleration={res}%s{txt}, transform={res}%s{txt} tol={res}%-1.0e{txt} poolsize={res}%f{txt} varsize={res}%f{txt})\n", S.acceleration, S.transform, S.tolerance, S.poolsize, cols(y)) + if (S.verbose>1) printf("{txt} - Variables: {res}" + invtokens(vars[i..j])+"{txt}\n") + y = (*accelerate)(S, y, transform) :* stdevs + if (S.num_iters_last_run>S.num_iters_max) S.num_iters_max = S.num_iters_last_run + + // Return residuals + if (restore_dta) { + residuals = residuals , y + } + else { + if (S.verbose>1) printf("{txt} - Saving transformed variables\n") + st_store(., st_addvar("double", newvars[i..j]), y) + } + y = J(0,0,.) // clear space (not really needed) + + } + + // this is max(iter) across all vars + if (S.verbose==0) printf("{txt}(converged in %g iterations)\n", S.num_iters_max) + + // Restore dataset; used by hdfe.ado with generate() instead of clear + if (restore_dta) { + stata("restore") + st_store(S.uid, st_addvar("double", newvars), residuals) + residuals = J(0,0,.) // clear space (not really needed) + } + + // Add chars with original names to new variables + for (i=1;i<=Q;i++) { + st_global(sprintf("%s[name]", newvars[i]), chars[i]) + } + +} + +void function map_save_fe(`Problem' S, `Varname' sum_fe) { + + // Storing FEs and returning them requires 6 changes + // 1) Extend the S and FE structures (add S.storing_betas, FE.alphas FE.tmp_alphas) + // 2) Allocate them here + // 3) Return results at the end of this function + // 4) Within the accelerators, modify the SD to update the alphas + // 5) Within map_projection, add a conditional to update tmp_alphas if needed + + `Integer' g + `Vector' y + `Varlist' target + + if (S.verbose>0) printf("{txt}{bf:mata: map_save_fe()}\n") + assert_msg(S.N!=., "map_save_fe() needs to be run after map_precompute()") + assert_msg(S.N==st_nobs(), "dataset cannot change after map_precompute()") + + if (S.verbose>0) printf("{txt} - Loading variable into Mata\n") + assert_msg(length(tokens(sum_fe))==1, "sum_fe should be a varname, not a varlist") + y = st_data(., sum_fe) + + st_dropvar(sum_fe) + + if (S.verbose>0) printf("{txt} - Allocating objects to save the fixed effect estimates\n") + S.storing_betas = 1 + for (g=1; g<=S.G; g++) { + if (length(S.fes[g].target)>0) { + S.fes[g].alphas = S.fes[g].tmp_alphas = + J(S.fes[g].levels, S.fes[g].has_intercept + S.fes[g].num_slopes, 0) + } + } + + // No need to standardize b/c it's only one variable + if (S.verbose>0) printf("{txt} - Solving problem (acceleration={res}%s{txt}, transform={res}%s{txt} tol={res}%-1.0e{txt} poolsize={res}%f{txt} varsize={res}%f{txt})\n", "steepest_descent", "kaczmarz", S.tolerance, S.poolsize, 1) + + y = accelerate_sd(S, y, &transform_kaczmarz()) + if (S.verbose==0) printf("{txt}(converged in %g iterations)\n", S.num_iters_last_run) + + if (S.verbose>1) printf("{txt} - Saving transformed variable\n") + st_store(., st_addvar("double", sum_fe), y) + y = J(0,0,.) // clear space + + // Store FEs + if (S.verbose>1) printf("{txt} - Saving fixed effects\n") + for (g=1; g<=S.G; g++) { + target = S.fes[g].target + if (length(target)>0) { + S.fes[g].tmp_alphas = J(0,0,.) + S.fes[g].alphas = S.fes[g].alphas[ st_data(., S.fes[g].idvarname) , . ] + } + } +} + +// ------------------------------------------------------------------------------------------------- +// Acceleration Schemes +// ------------------------------------------------------------------------------------------------- + +`Group' function accelerate_none(`Problem' S, `Group' y, `FunctionPointer' T) { + `Integer' iter + `Group' resid + pragma unset resid + + for (iter=1; iter<=S.maxiterations; iter++) { + (*T)(S, y, resid) // Faster version of "resid = S.T(y)" + if (check_convergence(S, iter, resid, y)) break + y = resid + } + return(resid) +} +// ------------------------------------------------------------------------------------------------- + +// Start w/out acceleration, then switch to CG +`Group' function accelerate_hybrid(`Problem' S, `Group' y, `FunctionPointer' T) { + `Integer' iter, accel_start + `Group' resid + pragma unset resid + + accel_start = 3 + + for (iter=1; iter<=accel_start; iter++) { + (*T)(S, y, resid) // Faster version of "resid = S.T(y)" + if (check_convergence(S, iter, resid, y)) break + y = resid + } + + return(accelerate_cg(S, y, T)) +} + +// ------------------------------------------------------------------------------------------------- +// Memory cost is approx = 4*size(y) (actually 3 since y is already there) +// But we need to add maybe 1 more due to u:*v +// And I also need to check how much does project and T use.. +// Double check with a call to memory + +// For discussion on the stopping criteria, see the following presentation: +// Arioli & Gratton, "Least-squares problems, normal equations, and stopping criteria for the conjugate gradient method". URL: https://www.stfc.ac.uk/SCD/resources/talks/Arioli-NAday2008.pdf + +// Basically, we will use the Hestenes and Stiefel rule + +`Group' function accelerate_cg(`Problem' S, `Group' y, `FunctionPointer' T) { + // BUGBUG iterate the first 6? without acceleration?? + `Integer' iter, d, Q + `Group' r, u, v + real rowvector alpha, beta, ssr, ssr_old, improvement_potential + `Matrix' recent_ssr + pragma unset r + pragma unset v + + Q = cols(y) + + d = 2 // BUGBUG Set it to 2/3 // Number of recent SSR values to use for convergence criteria (lower=faster & riskier) + // A discussion on the stopping criteria used is described in + // http://scicomp.stackexchange.com/questions/582/stopping-criteria-for-iterative-linear-solvers-applied-to-nearly-singular-system/585#585 + + improvement_potential = weighted_quadcolsum(S, y, y) + recent_ssr = J(d, Q, .) + + (*T)(S, y, r, 1) + ssr = weighted_quadcolsum(S, r, r) // cross(r,r) when cols(y)==1 // BUGBUG maybe diag(quadcross()) is faster? + u = r + + for (iter=1; iter<=S.maxiterations; iter++) { + (*T)(S, u, v, 1) // This is the hottest loop in the entire program + alpha = safe_divide( ssr , weighted_quadcolsum(S, u, v) ) + recent_ssr[1 + mod(iter-1, d), .] = alpha :* ssr + improvement_potential = improvement_potential - alpha :* ssr + y = y - alpha :* u + r = r - alpha :* v + ssr_old = ssr + ssr = weighted_quadcolsum(S, r, r) + beta = safe_divide( ssr , ssr_old) // Fletcher-Reeves formula, but it shouldn't matter in our problem + u = r + beta :* u + // Convergence if sum(recent_ssr) > tol^2 * improvement_potential + if ( check_convergence(S, iter, colsum(recent_ssr), improvement_potential, "hestenes") ) break + } + return(y) +} + +// ------------------------------------------------------------------------------------------------- + +`Group' function accelerate_sd(`Problem' S, `Group' y, `FunctionPointer' T) { + `Integer' iter, g + `Group' proj + real rowvector t + pragma unset proj + + for (iter=1; iter<=S.maxiterations; iter++) { + (*T)(S, y, proj, 1) + if (check_convergence(S, iter, y-proj, y)) break + t = safe_divide( weighted_quadcolsum(S, y, proj) , weighted_quadcolsum(S, proj, proj) ) + if (uniform(1,1)<0.1) t = 1 // BUGBUG: Does this help to randomly unstuck an iteration? + y = y - t :* proj + + if (S.storing_betas) { + for (g=1; g<=S.G; g++) { + if (length(S.fes[g].target)>0) { + S.fes[g].alphas = S.fes[g].alphas + t :* S.fes[g].tmp_alphas + } + } + } + } + return(y-proj) +} + +// ------------------------------------------------------------------------------------------------- +// This is method 3 of Macleod (1986), a vector generalization of the Aitken-Steffensen method +// Also: "when numerically computing the sequence.. stop.. when rounding errors become too +// important in the denominator, where the ^2 operation may cancel too many significant digits" +// Note: Sometimes the iteration gets "stuck"; can we unstuck it with adding randomness +// in the accelerate decision? There should be a better way.. (maybe symmetric kacz instead of standard one?) + +`Group' function accelerate_aitken(`Problem' S, `Group' y, `FunctionPointer' T) { + `Integer' iter + `Group' resid, y_old, delta_sq + `Boolean' accelerate + real rowvector t + pragma unset resid + + //S.pause_length = 20 + //S.bad_loop_threshold = 1 + //S.stuck_threshold = 5e-3 + // old_error = oldest_error = bad_loop = acceleration_countdown = 0 + + y_old = J(rows(y), cols(y), .) + + for (iter=1; iter<=S.maxiterations; iter++) { + + (*T)(S, y, resid) + accelerate = iter>=S.accel_start & !mod(iter,S.accel_freq) + + // Accelerate + if (accelerate) { + delta_sq = resid - 2 * y + y_old // = (resid - y) - (y - y_old) // Equivalent to D2.resid + // t is just (d'd2) / (d2'd2) + t = safe_divide( weighted_quadcolsum(S, (resid - y) , delta_sq) , weighted_quadcolsum(S, delta_sq , delta_sq) ) + resid = resid - t :* (resid - y) + } + + // Only check converge on non-accelerated iterations + // BUGBUG: Do we need to disable the check when accelerating? + // if (check_convergence(S, iter, accelerate? resid :* . : resid, y)) break + if (check_convergence(S, iter, resid, y)) break + + // Experimental: Pause acceleration + //if (accelerate) { + // improvement = max(( (old_error-update_error)/update_error , (oldest_error-update_error)/update_error )) + // bad_loop = improvement < stuck_threshold ? bad_loop+1 : 0 + // // bad_loop, improvement, update_error, old_error, oldest_error + // // Tolerate two problems (i.e. 6+2=8 iters) and then try to unstuck + // if (bad_loop>bad_loop_threshold) { + // bad_loop = 0 + // if (VERBOSE==3) printf(" Fixed point iteration seems stuck, acceleration paused\n") + // acceleration_countdown = pause_length + // } + // assert(bad_loop<=3) + // oldest_error = old_error + // old_error = update_error + //} + // + y_old = y // y_old is resid[iter-2] + y = resid // y is resid[iter-1] + } + return(resid) +} + +// ------------------------------------------------------------------------------------------------- + +`Boolean' check_convergence(`Problem' S, `Integer' iter, `Group' y_new, `Group' y_old,| `String' method) { + `Boolean' done, is_last_iter + `Real' update_error + + // max() ensures that the result when bunching vars is at least as good as when not bunching + if (args()<5) method = "vectors" + + if (S.G==1 & !S.storing_betas) { + // Shortcut for trivial case (1 FE) + update_error = 0 + } + else if (method=="vectors") { + update_error = max(mean(reldif(y_new, y_old))) + } + else if (method=="hestenes") { + // If the regressor is perfectly explained by the absvars, we can have SSR very close to zero but negative + // (so sqrt is missing) + update_error = max(safe_divide( sqrt(y_new) , editmissing(sqrt(y_old), sqrt(epsilon(1)) ) , sqrt(epsilon(1)) )) + } + else { + exit(error(100)) + } + + done = update_error <= S.tolerance + is_last_iter = iter==S.maxiterations + + if (done) { + S.num_iters_last_run = iter + if (S.verbose==1) printf("{txt} converged in %g iterations last error =%3.1e)\n", iter, update_error) + if (S.verbose>1) printf("\n{txt} - Converged in %g iterations (last error =%3.1e)\n", iter, update_error) + } + else if (is_last_iter) { + printf("\n{err}convergence not achieved in %g iterations (last error=%e); try increasing maxiter() or decreasing tol().\n", S.maxiterations, update_error) + exit(430) + } + else { + if ((S.verbose>=2 & S.verbose<=3 & mod(iter,1)==0) | (S.verbose==1 & mod(iter,10)==0)) { + printf("{txt}.") + displayflush() + } + if ( (S.verbose>=2 & S.verbose<=3 & mod(iter,100)==0) | (S.verbose==1 & mod(iter,1000)==0) ) printf("{txt}%9.1f\n", update_error/S.tolerance) + + if (S.verbose==4 & method!="hestenes") printf("{txt} iter={res}%4.0f{txt}\tupdate_error={res}%-9.6e\n", iter, update_error) + if (S.verbose==4 & method=="hestenes") printf("{txt} iter={res}%4.0f{txt}\tupdate_error={res}%-9.6e {txt}norm(ssr)={res}%g\n", iter, update_error, norm(y_new)) + + if (S.verbose==5) { + printf("\n{txt} iter={res}%4.0f{txt}\tupdate_error={res}%-9.6e{txt}\tmethod={res}%s\n", iter, update_error, method) + "old:" + y_old + "new:" + y_new + } + } + return(done) +} + +// ------------------------------------------------------------------------------------------------- + +`Matrix' weighted_quadcolsum(`Problem' S, `Matrix' x, `Matrix' y) { + // BUGBUG: colsum or quadcolsum?? + return( quadcolsum(S.weightvar=="" ? (x :* y) : (x :* y :* S.w) ) ) +} + +// ------------------------------------------------------------------------------------------------- +// Transformations: Compute RESIDUALS, not projections +// ------------------------------------------------------------------------------------------------- + +void function transform_cimmino(`Problem' S, `Group' y, `Group' ans,| `Boolean' get_proj) { + `Integer' g, G + G = S.G + if (args()<4) get_proj = 0 + + ans = map_projection(S, 1, y) + for (g=2; g<=G; g++) { + ans = ans + map_projection(S, g, y) + } + ans = get_proj ? ans / G : y - ans / G +} + +// ------------------------------------------------------------------------------------------------- + +void function transform_kaczmarz(`Problem' S, `Group' y, `Group' ans,| `Boolean' get_proj) { + `Integer' g, G + G = S.G + if (args()<4) get_proj = 0 + + ans = y - map_projection(S, 1, y) + for (g=2; g<=G; g++) { + ans = ans - map_projection(S, g, ans) + } + if (get_proj) ans = y - ans +} + +// ------------------------------------------------------------------------------------------------- +// This seems slower than kaczmarz (sym kaczmarz!); not used currently +void function transform_rand_kaczmarz(`Problem' S, `Group' y, `Group' ans,| `Boolean' get_proj) { + `Integer' g, G + G = S.G + `Vector' rand + if (args()<4) get_proj = 0 + rand = sort( ( (1::G) , uniform(G,1) ) , 2 )[.,1] + + ans = y - map_projection(S, rand[1], y) + for (g=2; g<=G; g++) { + ans = ans - map_projection(S, rand[g], ans) + } + for (g=G-1; g>=1; g--) { + ans = ans - map_projection(S, rand[g], ans) + } + if (get_proj) ans = y - ans +} + +// ------------------------------------------------------------------------------------------------- + + void function transform_sym_kaczmarz(`Problem' S, `Group' y, `Group' ans,| `Boolean' get_proj) { + `Integer' g, G + // BUGBUG: Streamline and remove all those "ans - .." lines? + G = S.G + if (args()<4) get_proj = 0 + + ans = y - map_projection(S, 1, y) + for (g=2; g<=G; g++) { + ans = ans - map_projection(S, g, ans) + } + for (g=G-1; g>=1; g--) { + ans = ans - map_projection(S, g, ans) + } + if (get_proj) ans = y - ans +} + +void map_estimate_dof(`Problem' S, string rowvector adjustments, + | `Varname' groupvar, `String' cond) { + `Boolean' adj_firstpairs, adj_pairwise, adj_clusters, adj_continuous, belongs, already_first_constant + string rowvector all_adjustments + `String' adj, label, basestring + `Integer' i, g, SuperG, h, M_due_to_nested, j, m, sum_levels + `Vector' M, M_is_exact, M_is_nested, is_slope, solved, prev_g, SubGs + + // TODO - BY + // With by, I need to i) discard the first FE, ii) use only the `cond' sample in the calculations + + // Parse list of adjustments/tricks to do + if (S.verbose>1) printf("\n") + if (S.verbose>0) printf("{txt}{bf:mata: map_estimate_dof()}\n") + if (S.verbose>1) printf("{txt} - Estimating degrees-of-freedom used by the fixed effects\n") + all_adjustments = "firstpairs", "pairwise", "clusters", "continuous" + adjustments = tokens(adjustments) + for (i=1; i<=length(adjustments);i++) { + assert_msg(anyof(all_adjustments, adjustments[i]), + sprintf("map_estimate_dof error: adjustment %s invalid", adjustments[i])) + } + if (S.verbose>1) printf("{txt} - Adjustments:\n") + for (i=1;i<=length(all_adjustments);i++) { + adj = all_adjustments[i] + belongs = anyof(adjustments, adj) + if (S.verbose>1) printf("{txt} - %s: {col 20}{res} %s\n", adj, belongs ? "yes" : "no") + if (adj=="firstpairs") adj_firstpairs = belongs + if (adj=="pairwise") adj_pairwise = belongs + if (adj=="clusters") adj_clusters = belongs + if (adj=="continuous") adj_continuous = belongs + } + + // Assert that the clustervars exist + for (i=1;i<=S.C;i++) { + stata(sprintf("confirm numeric variable %s, exact", S.clustervars[i])) + } + + // Can only save connected group if firstpairs or pairwise are active + if (args()<3) groupvar = "" + if (groupvar!="") { + assert_msg(adj_firstpairs | adj_pairwise, "map_estimate_dof error: group option requires 'pairwise' or 'firstpairs' adjustments") + } + + // Count all fixed intercepts and slopes + SubGs = J(S.G, 1, 0) // Intercept + # of slopes in an absvar + for (g=1;g<=S.G;g++) { + SubGs[g] = S.fes[g].has_intercept + S.fes[g].num_slopes + } + SuperG = sum(SubGs) + if (S.verbose>1) printf("{txt} - There are %f fixed intercepts and slopes in the %f absvars\n", SuperG, S.G) + + // Initialize result vectors and scalars + M = J(SuperG, 1, 1) + M_is_exact = J(SuperG, 1, 0) + M_is_nested = J(SuperG, 1, 0) + is_slope = J(SuperG, 1, .) + solved = J(SuperG, 1, 0) + + // Initial Fill + h = 0 + already_first_constant = 0 + for (g=1;g<=S.G;g++) { + for (i=1;i<=SubGs[g];i++) { + h++ + if (is_slope[h] = i>S.fes[g].has_intercept) { + M[h] = 0 + } + else if (!already_first_constant) { + already_first_constant = 1 + M[h] = 0 + } + + } + } + + // (Intercept-Only) Look for absvars that are clustervars or are nested within a clustervar + h = 1 + M_due_to_nested = 0 + if (adj_clusters) { + for (g=1;g<=S.G;g++) { + if (S.fes[g].has_intercept & (S.fes[g].is_clustervar | S.fes[g].in_clustervar)) { + M[h] = S.fes[g].levels + M_is_exact[h] = M_is_nested[h] = 1 + M_due_to_nested = M_due_to_nested + M[h] + solved[h] = 1 + if (S.verbose>1 & S.fes[g].is_clustervar) printf(" {txt}(categorical variable {res}%s{txt} is also a cluster variable, so it doesn't count towards DoF)\n", invtokens(S.fes[g].ivars,"#")) + if (S.verbose>1 & S.fes[g].in_clustervar) printf(" {txt}(categorical variable {res}%s{txt} is nested within cluster {res}%s{txt}, so it doesn't count towards DoF)\n", invtokens(S.fes[g].ivars,"#"), S.clustervars_original[S.fes[g].nesting_clustervar]) + } + h = h + SubGs[g] + } + } + + // (Intercept-only) Excluding those already solved, the first absvar is exact, and the second can be with pairwise/firstpairs + + // Note: I dont't include the FEs that are clusters or are nested within cluster when computing redundant coefs + // On principle, that would be nice to have. EG: reghdfe .... abs(zipcode state##c.time) vce(zipcode) + // I know state is collinear with zipcode so I would also want to consider state to be redundant + + // However, the number of states should be much smaller than the number of zipcodes, which in turn is smaller + // Than the number of observations; so I don't worry much about that case (also, there may be possible + // complications with that) + + i = 0 + h = 1 + prev_g = J(S.G, 1, 0) + for (g=1;g<=S.G;g++) { + if (!solved[h] & S.fes[g].has_intercept) { + i++ + if (i==1) { + M_is_exact[h] = 1 + } + else if (i==2 & (adj_pairwise | adj_firstpairs)) { + M_is_exact[h] = 1 + m = map_connected_groups(S, prev_g[1], g, groupvar) + if (S.verbose>2) printf("{txt} - Mobility groups between fixed intercept #%f and #%f: {res}%f\n", prev_g[1], g, m) + M[h] = m + } + else if (i>2 & adj_pairwise) { + // Call connected in a LOOP (but I need to save the list of those that I needed to check) + for (j=1; j2) printf("{txt} - Mobility groups between fixed intercept #%f and #%f: {res}%f\n", prev_g[j], g, m) + M[h] = max((M[h], m)) + } + if (S.verbose>2) printf("{txt} - Maximum of mobility groups wrt fixed intercept #%f: {res}%f\n", g, M[h]) + + } + prev_g[i] = g + } + h = h + SubGs[g] + } + + // See if cvars are zero (w/out intercept) or just constant (w/intercept) + if (adj_continuous) { + h = 0 + for (g=1;g<=S.G;g++) { + for (i=1;i<=SubGs[g];i++) { + h++ + // If model has intercept, redundant cvars are those that are CONSTANT + // Without intercept, a cvar has to be zero within a FE for it to be redundant + // Since S.fes[g].x are already demeaned IF they have intercept, we don't have to worry about the two cases + if (is_slope[h]) { + M[h] = count_redundant_cvars(S, g, i) + } + } + } + } + + // Store results + S.dof_SubGs = SubGs + + S.doflist_M = M + S.doflist_M_is_exact = M_is_exact + S.doflist_M_is_nested = M_is_nested + + sum_levels = 0 + for (g=1;g<=S.G;g++) sum_levels = sum_levels + S.fes[g].levels * (S.fes[g].has_intercept + S.fes[g].num_slopes) + S.dof_M = sum(M) + S.dof_KminusM = sum_levels - S.dof_M + S.dof_M_due_to_nested = M_due_to_nested + S.dof_N_hdfe_extended = SuperG + + st_numscalar("e(df_a)", S.dof_KminusM) // We need this in the regression stage! + + // Report results + if (S.verbose>=2) { + printf("{txt} - Degrees-of-freedom used by each fixed effect (K=total levels; M=redundant levels)\n") + h = 0 + for (g=1;g<=S.G;g++) { + for (i=1;i<=SubGs[g];i++) { + h++ + label = invtokens(S.fes[g].ivars, "#") + if (i>S.fes[g].has_intercept) label = label + "#c." + S.fes[g].cvars[i-S.fes[g].has_intercept] + basestring = "{txt} - FE%f ({res}%s{txt}): {col 40}K=%f {col 50}M=%f {col 60}is_exact=%f\n" + printf(basestring, g, label, S.fes[g].levels, M[h], M_is_exact[h]) + } + } + } + if (S.verbose>0) printf(" - Results: N=%f ; K=%f ; M=%f ; (K-M)==df_a=%f\n", S.N, sum_levels, sum(M), sum_levels-sum(M)) +} +// ------------------------------------------------------------------------------------------------- + +void function map_ereturn_dof(`Problem' S) { + `Integer' h, g, i + + st_numscalar("e(N_hdfe)", S.G) + st_numscalar("e(N_hdfe_extended)", S.dof_N_hdfe_extended) + st_numscalar("e(mobility)", S.dof_M) + st_numscalar("e(M_due_to_nested)", S.dof_M_due_to_nested) + st_numscalar("e(df_a)", S.dof_KminusM) + + h = 0 + for (g=1;g<=S.G;g++) { + for (i=1;i<=S.dof_SubGs[g];i++) { + h++ + st_numscalar( sprintf("e(M%f)",h) , S.doflist_M[h] ) + st_numscalar( sprintf("e(K%f)",h) , S.fes[g].levels ) + + st_numscalar( sprintf("e(M%f_exact)",h) , S.doflist_M_is_exact[h]) + st_numscalar( sprintf("e(M%f_nested)",h) , S.doflist_M_is_nested[h]) + st_numscalar( sprintf("e(G%f)",h) , g) // unused? + } + } +} + +// ------------------------------------------------------------------------------------------------- + +`Integer' function count_redundant_cvars(`Problem' S, `Integer' g, `Integer' i) { + `Integer' j, i_lower, i_upper, ans, L, ii + real rowvector min_max + `Series' x + + ii = i-S.fes[g].has_intercept + ans = 0 + L = S.fes[g].levels + x = S.fes[g].x[., ii] + + i_lower = 1 + for (j=1;j<=L; j++) { + i_upper = S.fes[g].offsets[j] + min_max = minmax(x[| i_lower \ i_upper |]) + if (sqrt(epsilon(1))>abs(min_max[1]) & sqrt(epsilon(1))>abs(min_max[2])) ans++ + i_lower = i_upper + 1 + } + if (S.verbose>=2) printf("{txt} - Fixed slope {res}%s#c.%s {txt}has {res}%f/%f{txt} redundant coefs.\n", invtokens(S.fes[g].ivars,"#"), S.fes[g].cvars[ii], ans, L) + return(ans) +} + +/* + In general, we can't know the exact number of DoF lost because we don't know when multiple FEs are collinear + When we have two pure FEs, we can use an existing algorithm, but besides that we'll just use an upper (conservative) bound + + Features: + - Save the first mobility group if asked + - Within the pure FEs, we can use the existing algorithm pairwise (FE1 vs FE2, FE3, .., FE2 vs FE3, ..) + - If there are n pure FEs, that means the algo gets called n! times, which may be kinda slow + - With FEs interacted with continuous variables, we can't do this, but can do two things: + a) With i.a#c.b , whenever b==0 for all values of a group (of -a-), add one redundant + b) With i.a##c.b, do the same but whenever b==CONSTANT (so not just zero) + - With clusters, it gets trickier but in summary you don't need to penalize DoF for params that only exist within a cluster. This happens: + a) if absvar==clustervar + b) if absvar is nested within a clustervar. EG: if we do vce(cluster state), and -absorb(district)- or -absorb(state#year) + c) With cont. interactions, e.g. absorb(i.state##c.year) vce(cluster year), then i) state FE is redundant, but ii) also state#c.year + The reason is that at the param for each "fixed slope" is shared only within a state + + Procedure: + - Go through all FEs and see if i) they share the same ivars as any clusters, and if not, ii) if they are nested within clusters + - For each pure FE in the list, run the algorithm pairwise, BUT DO NOT RUN IT BEETWEEN TWO PAIRS OF redundant + (since the redundants are on the left, we just need to check the rightmost FE for whether it was tagged) + - For the ones with cont interactions, do either of the two tests depending on the case + + Misc: + - There are two places where DoFs enter in the results: + a) When computing e(V), we do a small sample adjustment (seen in Stata documentation as the -q-) + Instead of doing V*q with q = N/(N-k), we use q = N / (N-k-kk), so THE PURPOSE OF THIS PROGRAM IS TO COMPUTE "kk" + This kk will be used to adjust V and also stored in e(df_a) + With clusters, q = (N-1) / (N-k-kk) * M / (M-1) + With multiway clustering, we use the smallest N_clust as our M + b) In the DoF of the F and t tests (not when doing chi/normal) + When there are clusters, note that e(df_r) is M-1 instead of N-1-k + Again, here we want to use the smallest M with multiway clustering + + Inputs: +-+- if we just use -fe2local- we can avoid passing stuff around when building subroutines + - We need the current name of the absvars and clustervars (remember a#b is replaced by something different) + - Do a conf var at this point to be SURE that we didn't mess up before + - We need the ivars and cvars in a list + - For the c. interactions, we need to know if they are bivariate or univariate + - SOLN -> mata: fe2local(`g') ; from mata: ivars_clustervar`i' (needed???) , and G + - Thus, do we really needed the syntax part?? + - fe2local saves: ivars cvars target varname varlabel is_interaction is_cont_interaction is_bivariate is_mock levels // Z group_k weightvar + + DOF Syntax: + DOFadjustments(none | all | CLUSTERs | PAIRwise | FIRSTpair | CONTinuous) + dof() = dof(all) = dof(cluster pairwise continuous) + dof(none) -> do nothing; all Ms = 0 + dof(first) dof(first cluster) dof(cluster) dof(continuous) + + For this to work, the program MUST be modular +*/ + +`Integer' function map_connected_groups(`Problem' S, `Integer' g1, `Integer' g2, | `Varname' groupvar) { + `Boolean' changed + `Series' group, p + `Integer' gg, g, j, i_lower, i_upper, num_groups, L + real rowvector min_max + + changed = 1 + group = st_data(., S.fes[g1].idvarname) + if (args()<4) groupvar = "" + + while (changed) { + changed = 0 + for (gg=1;gg<=2;gg++) { + g = gg==1 ? g2 : g1 + L = S.fes[g].levels + if (!S.fes[g].is_sortedby) _collate(group, S.fes[g].p) // Sort it by g1 or g2 + i_lower = 1 + for (j=1;j<=L; j++) { + i_upper = S.fes[g].offsets[j] + min_max = minmax(group[| i_lower , 1 \ i_upper , 1 |]) + if (min_max[1]!=min_max[2]) changed = 1 + group[| i_lower , 1 \ i_upper , 1 |] = min_max[1] :* J(i_upper-i_lower+1,1,1) + i_lower = i_upper + 1 + } + if (!S.fes[g].is_sortedby) _collate(group, S.fes[g].inv_p) // Sort it back + } + } + + // Create compact group id + p = order(group, 1) + _collate(group, p) + group = runningsum(rows_that_change(group)) + num_groups = group[rows(group)] + _collate(group, invorder(p)) + + // (optional) save group variable + // Don't save until back in the main dataset! + // S.groupvar = groupvar // already saved in map_init_groupvar + S.grouptype = num_groups<=100 ? "byte" : (num_groups<=32740? "int" : "long") + S.grouplabel = sprintf("Mobility Group: %s <--> %s", invtokens(S.fes[g1].ivars,"#") , invtokens(S.fes[g2].ivars,"#")) + S.groupseries = group + return(num_groups) +} + + // This is not part of the MAP code but for simplicity we'll put it here + +// ------------------------------------------------------------------------------------------------- +// Fix nonpositive VCV; called from Wrapper_mwc.ado +// ------------------------------------------------------------------------------------------------- +void function fix_psd(string scalar Vname) { + real matrix V, U, lambda + + V = st_matrix(Vname) + if (!issymmetric(V)) exit(error(505)) + symeigensystem(V, U=., lambda=.) + st_local("eigenfix", "0") + if (min(lambda)<0) { + lambda = lambda :* (lambda :>= 0) + // V = U * diag(lambda) * U' + V = quadcross(U', lambda, U') + st_local("eigenfix", "1") + } + st_replacematrix(Vname, V) +} + +end +// ------------------------------------------------------------------------------------------------- + +program define reghdfe_old + +* Set Stata version + version `=clip(`c(version)', 11.2, 13.1)' // 11.2 minimum, 13+ preferred + +* Intercept old+version + cap syntax, version old + if !c(rc) { + reghdfe_old, version + exit + } + +* Intercept version + cap syntax, version + if !c(rc) { + Version + exit + } + +* Intercept old + cap syntax anything(everything) [fw aw pw/], [*] old + if !c(rc) { + di as error "(running historical version of reghdfe)" + if ("`weight'"!="") local weightexp [`weight'=`exp'] + reghdfe_old `anything' `weightexp', `options' + exit + } + +* Intercept cache(clear) (must be before replay) + local cache + cap syntax, CACHE(string) + if ("`cache'"=="clear") { + cap mata: mata drop HDFE_S // overwrites c(rc) + cap mata: mata drop varlist_cache + cap mata: mata drop tss_cache + cap global updated_clustervars + cap matrix drop reghdfe_statsmatrix + exit + } + +* Intercept replay + if replay() { + if (`"`e(cmd)'"'!="reghdfe") error 301 + if ("`0'"=="") local comma "," + Replay `comma' `0' stored // also replays stored regressions (first stages, reduced, etc.) + exit + } + +* Intercept cache(save) + local cache + cap syntax anything(everything) [fw aw pw/], [*] CACHE(string) + if (strpos("`cache'", "save")==1) { + cap noi InnerSaveCache `0' + if (c(rc)) { + local rc = c(rc) + cap mata: mata drop HDFE_S // overwrites c(rc) + cap mata: mata drop varlist_cache + cap mata: mata drop tss_cache + global updated_clustervars + cap matrix drop reghdfe_statsmatrix + exit `rc' + } + exit + } + +* Intercept cache(use) + local cache + cap syntax anything(everything) [fw aw pw/], [*] CACHE(string) + if ("`cache'"=="use") { + InnerUseCache `0' + exit + } + +* Finally, call Inner if not intercepted before + local is_cache : char _dta[reghdfe_cache] + Assert ("`is_cache'"!="1"), msg("reghdfe error: data transformed with -savecache- requires option -usecache-") + cap noi Inner `0' + if (c(rc)) { + local rc = c(rc) + cap mata: mata drop HDFE_S // overwrites c(rc) + exit `rc' + } +end + +// ------------------------------------------------------------------------------------------------- + +// ------------------------------------------------------------- +// Simple assertions +// ------------------------------------------------------------- + +program define Assert + syntax anything(everything equalok) [, MSG(string asis) RC(integer 198)] + if !(`anything') { + di as error `msg' + exit `rc' + } +end + + +// ------------------------------------------------------------- +// Simple debugging +// ------------------------------------------------------------- + +program define Debug + + syntax, [MSG(string asis) Level(integer 1) NEWline COLOR(string)] [tic(integer 0) toc(integer 0)] + + mata: verbose2local(HDFE_S, "VERBOSE") + assert "`VERBOSE'"!="" + assert inrange(`VERBOSE',0, 5) + + assert inrange(`level',0, 5) + assert (`tic'>0) + (`toc'>0)<=1 + + if ("`color'"=="") local color text + assert inlist("`color'", "text", "res", "result", "error", "input") + + if (`VERBOSE'>=`level') { + + if (`tic'>0) { + timer clear `tic' + timer on `tic' + } + if (`toc'>0) { + timer off `toc' + qui timer list `toc' + local time = r(t`toc') + if (`time'<10) local time = string(`time'*1000, "%tcss.ss!s") + else if (`time'<60) local time = string(`time'*1000, "%tcss!s") + else if (`time'<3600) local time = string(`time'*1000, "%tc+mm!m! SS!s") + else if (`time'<24*3600) local time = string(`time'*1000, "%tc+hH!h! mm!m! SS!s") + timer clear `toc' + local time `" as result " `time'""' + } + + if (`"`msg'"'!="") di as `color' `msg'`time' + if ("`newline'"!="") di + } +end + + +// ------------------------------------------------------------- +// Report HDFE/REGHDFE version +// ------------------------------------------------------------- + +program define Version, eclass + local version "3.2.9 21feb2016" + ereturn clear + di as text "`version'" + ereturn local version "`version'" + + di as text _n "Dependencies installed?" + local dependencies ivreg2 avar tuples + foreach dependency of local dependencies { + cap findfile `dependency'.ado + if (_rc) { + di as text "{lalign 20:- `dependency'}" as error "not" + } + else { + di as text "{lalign 20:- `dependency'}" as result "yes" + } + } + +end + +program define Tic +syntax, n(integer) + timer clear `n' + timer on `n' +end + +program define Toc +syntax, n(integer) msg(string) + timer off `n' + qui timer list `n' + di as text "[timer]{tab}" as result %8.3f `r(t`n')' as text "{col 20}`msg'{col 77}`n'" + timer clear `n' +end + +program define Inner, eclass + +* INITIAL CLEANUP + ereturn clear // Clear previous results and drops e(sample) + cap estimates drop reghdfe_* + +* PARSE - inject opts with c_local, create Mata structure HDFE_S (use verbose>2 for details) + Parse `0' + assert !`savecache' + assert !`usecache' + if (`timeit') Tic, n(50) + +* PRESERVE (optional) + if (`timeit') Tic, n(51) + preserve + Debug, level(2) newline + Debug, level(2) msg("(dataset preserved)") + if (`timeit') Toc, n(51) msg(preserve) + +* MEMORY REPORT - Store dataset size + qui de, simple + local old_mem = string(r(width) * r(N) / 2^20, "%6.2f") + local raw_n = c(N) + local raw_k = c(k) + +* CREATE UID - allows attaching e(sample) and the FE estimates into the restored dataset + if (!`fast') { + if (`timeit') Tic, n(52) + tempvar uid + GenUID `uid' + if (`timeit') Toc, n(52) msg(generate uid) + } + +* COMPACT - Expand time and factor variables, and drop unused variables and obs. + foreach cat in depvar indepvars endogvars instruments { + local original_`cat' "``cat''" + } + if (`timeit') Tic, n(53) + Compact, basevars(`basevars') depvar(`depvar') indepvars(`indepvars') endogvars(`endogvars') instruments(`instruments') uid(`uid') timevar(`timevar') panelvar(`panelvar') weightvar(`weightvar') weighttype(`weighttype') absorb_keepvars(`absorb_keepvars') clustervars(`clustervars') if(`if') in(`in') verbose(`verbose') vceextra(`vceextra') + // Injects locals: depvar indepvars endogvars instruments expandedvars + if (`timeit') Toc, n(53) msg(compact) + +* PRECOMPUTE MATA OBJECTS (means, counts, etc.) + if (`timeit') Tic, n(54) + mata: map_init_keepvars(HDFE_S, "`expandedvars' `uid'") // Non-essential vars will be deleted (e.g. interactions of a clustervar) + mata: map_precompute(HDFE_S) + if (`timeit') Toc, n(54) msg(map_precompute()) + + * Replace vceoption with the correct cluster names (e.g. if it's a FE or a new variable) + if (`num_clusters'>0) { + assert "`r(updated_clustervars)'"!="" + local vceoption : subinstr local vceoption "" "`r(updated_clustervars)'" + } + +* MEMORY REPORT + Debug, level(2) msg("(dataset compacted: observations " as result "`raw_n' -> `c(N)'" as text " ; variables " as result "`raw_k' -> `c(k)'" as text ")") + qui de, simple + local new_mem = string(r(width) * r(N) / 2^20, "%6.2f") + Debug, level(2) msg("(dataset compacted, c(memory): " as result "`old_mem'" as text "M -> " as result "`new_mem'" as text "M)") + if (`verbose'>3) { + di as text "(memory usage including mata:)" + memory + di as text "" + } + +* PREPARE - Compute untransformed tss, R2 of eqn w/out FEs +if (`timeit') Tic, n(55) + Prepare, weightexp(`weightexp') depvar(`depvar') stages(`stages') model(`model') expandedvars(`expandedvars') vcetype(`vcetype') endogvars(`endogvars') has_intercept(`has_intercept') + * Injects tss, tss_`endogvar' (with stages), and r2c + if (`timeit') Toc, n(55) msg(prepare) + +* STORE UID - Used to add variables to original dataset: e(sample), mobility group, and FE estimates + if (!`fast') mata: store_uid(HDFE_S, "`uid'") + if (`fast') Debug, msg("(option {opt fast} specified; will not save e(sample))") + +* BACKUP UNTRANSFORMED VARIABLES - If we are saving the FEs, we need to backup the untransformed variables + if (`will_save_fe') { + if (`timeit') Tic, n(56) + tempfile untransformed + qui save "`untransformed'" + if (`timeit') Toc, n(56) msg(save untransformed tempfile) + } + +* COMPUTE e(stats) - Summary statistics for the all the regression variables + if ("`stats'"!="") { + if (`timeit') Tic, n(57) + tempname statsmatrix + Stats `expandedvars', weightexp(`weightexp') stats(`stats') statsmatrix(`statsmatrix') + if (`timeit') Toc, n(57) msg(stats matrix) + } + +* COMPUTE DOF + if (`timeit') Tic, n(62) + mata: map_estimate_dof(HDFE_S, "`dofadjustments'", "`groupvar'") // requires the IDs + if (`timeit') Toc, n(62) msg(estimate dof) + assert e(df_a)<. // estimate_dof() only sets e(df_a); map_ereturn_dof() is for setting everything aferwards + local kk = e(df_a) // we need this for the regression step + +* DROP FE IDs - Except if they are also a clustervar or we are saving their respecting alphas + if (`timeit') Tic, n(64) + mata: drop_ids(HDFE_S) + if (`timeit') Toc, n(64) msg(drop ids) + +* MAP_SOLVE() - WITHIN TRANFORMATION (note: overwrites variables) + if (`timeit') Tic, n(60) + qui ds `expandedvars' + local NUM_VARS : word count `r(varlist)' + Debug, msg("(computing residuals for `NUM_VARS' variables)") + mata: map_solve(HDFE_S, "`expandedvars'") + if (`timeit') Toc, n(60) msg(map_solve()) + +* STAGES SETUP - Deal with different stages + assert "`stages'"!="" + if ("`stages'"!="none") { + Debug, level(1) msg(_n "{title:Stages to run}: " as result "`stages'") + * Need to backup some locals + local backuplist residuals groupvar fast will_save_fe depvar indepvars endogvars instruments original_depvar tss suboptions + foreach loc of local backuplist { + local backup_`loc' ``loc'' + } + + local num_stages : word count `stages' + local last_stage : word `num_stages' of `stages' + assert "`last_stage'"=="iv" + } + +* STAGES LOOPS +foreach stage of local stages { +Assert inlist("`stage'", "none", "iv", "first", "ols", "reduced", "acid") +if ("`stage'"=="first") { + local lhs_endogvars "`backup_endogvars'" + local i_endogvar 0 +} +else { + local lhs_endogvars "" + local i_endogvar +} + +foreach lhs_endogvar of local lhs_endogvars { + + if ("`stage'"!="none") { + * Start with backup values + foreach loc of local backuplist { + local `loc' `backup_`loc'' + } + + if ("`stage'"=="ols") { + local indepvars `endogvars' `indepvars' + } + else if ("`stage'"=="reduced") { + local indepvars `instruments' `indepvars' + } + else if ("`stage'"=="acid") { + local indepvars `endogvars' `instruments' `indepvars' + } + else if ("`stage'"=="first") { + local ++i_endogvar + local tss = `tss_`lhs_endogvar'' + assert `tss'<. + local depvar `lhs_endogvar' + local indepvars `instruments' `indepvars' + local original_depvar : char `depvar'[name] + } + + if ("`stage'"!="iv") { + local fast 1 + local will_save_fe 0 + local endogvars + local instruments + local groupvar + local residuals + local suboptions `stage_suboptions' + } + } + +* REGRESS - Call appropiate wrapper (regress, avar, mwc for ols; ivreg2, ivregress for iv) + ereturn clear + if ("`stage'"=="none") Debug, level(2) msg("(running regresion: `model'.`ivsuite')") + local wrapper "Wrapper_`subcmd'" // regress ivreg2 ivregress + if ("`subcmd'"=="regress" & "`vcesuite'"=="avar") local wrapper "Wrapper_avar" + if ("`subcmd'"=="regress" & "`vcesuite'"=="mwc") local wrapper "Wrapper_mwc" + if (!inlist("`stage'","none", "iv")) { + if ("`vcesuite'"=="default") local wrapper Wrapper_regress + if ("`vcesuite'"!="default") local wrapper Wrapper_`vcesuite' + } + local opt_list + local opts /// + depvar indepvars endogvars instruments /// + vceoption vcetype /// + kk suboptions ffirst weightexp /// + estimator twicerobust /// Whether to run or not two-step gmm + num_clusters clustervars // Used to fix e() of ivreg2 first stages + foreach opt of local opts { + local opt_list `opt_list' `opt'(``opt'') + } + Debug, level(3) msg(_n "call to wrapper:" _n as result "`wrapper', `opt_list'") + if (`timeit') Tic, n(66) + `wrapper', `opt_list' + if (`timeit') Toc, n(66) msg(regression) + +* COMPUTE AND STORE RESIDS (based on SaveFE.ado) + local drop_resid_vector + if ("`residuals'"!="") { + local drop_resid_vector drop_resid_vector(0) + local subpredict = e(predict) + local score = cond("`model'"=="ols", "score", "resid") + if e(df_m)>0 { + `subpredict' double `residuals', `score' // equation: y = xb + d + e, we recovered "e" + } + else { + gen double `residuals' = `depvar' + } + mata: store_resid(HDFE_S, "`residuals'") + } + +* SAVE FE - This loads back the untransformed dataset! + if (`will_save_fe') { + if (`timeit') Tic, n(68) + local subpredict = e(predict) // used to recover the FEs + SaveFE, model(`model') depvar(`depvar') untransformed(`untransformed') weightexp(`weightexp') has_intercept(`has_intercept') subpredict(`subpredict') `drop_resid_vector' + if (`timeit') Toc, n(68) msg(save fes in mata) + } + +* FIX VARNAMES - Replace tempnames in the coefs table (run AFTER regress and BEFORE restore) + * (e.g. __00001 -> L.somevar) + tempname b + matrix `b' = e(b) + local backup_colnames : colnames `b' + FixVarnames `backup_colnames' + local newnames "`r(newnames)'" + matrix colnames `b' = `newnames' + // ereturn repost b=`b', rename // I cannot run repost before preserve. Why? Who knows... (running it in Post.ado) + ereturn local depvar = "`original_depvar'" // Run after SaveFE + +* (optional) Restore + if inlist("`stage'","none", "iv") { + if (`timeit') Tic, n(70) + restore + Debug, level(2) newline + Debug, level(2) msg("(dataset restored)") + // TODO: Format alphas + if (`timeit') Toc, n(70) msg(restore) + } + +* SAVE RESIDS (after restore) + if ("`residuals'"!="") mata: resid2dta(HDFE_S, 1, 1) + +* (optional) Save mobility groups + if ("`groupvar'"!="") mata: groupvar2dta(HDFE_S) + +* (optional) Save alphas (fixed effect estimates) + if (`will_save_fe') { + if (`timeit') Tic, n(74) + mata: alphas2dta(HDFE_S) + if (`timeit') Toc, n(74) msg(save fes in dta) + } + +* (optional) Add e(sample) + if (!`fast') { + if (`timeit') Tic, n(76) + tempvar sample + mata: esample2dta(HDFE_S, "`sample'") + qui replace `sample' = 0 if `sample'==. + la var `sample' "[HDFE Sample]" + ereturn repost , esample(`sample') + mata: drop_uid(HDFE_S) + if (`timeit') Toc, n(76) msg(add e(sample)) + } + +* POST ERETURN - Add e(...) (besides e(sample) and those added by the wrappers) + local opt_list + local opts dofadjustments subpredict model stage stages subcmd cmdline vceoption equation_d original_absvars extended_absvars vcetype vcesuite tss r2c savestages diopts weightvar estimator dkraay by level num_clusters clustervars timevar backup_original_depvar original_indepvars original_endogvars original_instruments has_intercept + foreach opt of local opts { + local opt_list `opt_list' `opt'(``opt'') + } + if (`timeit') Tic, n(78) + Post, `opt_list' coefnames(`b') + if (`timeit') Toc, n(78) msg(post) + +* REPLAY - Show the regression table + Replay + +* ATTACH - Add e(stats) and e(notes) + Attach, notes(`notes') statsmatrix(`statsmatrix') summarize_quietly(`summarize_quietly') + +* Store stage result + if (!inlist("`stage'","none", "iv") & `savestages') est store reghdfe_`stage'`i_endogvar', nocopy + +} // lhs_endogvar +} // stage + +* CLEANUP + mata: mata drop HDFE_S // cleanup + if (`timeit') Toc, n(50) msg([TOTAL]) +end + + +// ------------------------------------------------------------- +// Parsing and basic sanity checks for REGHDFE.ado +// ------------------------------------------------------------- + +program define Parse + +* Remove extra spacing from cmdline (just for aesthetics) + mata: st_local("cmdline", stritrim(`"reghdfe_old `0'"') ) + +* Parse the broad syntax (also see map_init(), ParseAbsvars.ado, ParseVCE.ado, etc.) + syntax anything(id="varlist" name=0 equalok) [if] [in] [aw pw fw/] , /// + /// Model /// + Absorb(string) [ /// + RESiduals(name) /// + SUBOPTions(string) /// Options to be passed to the estimation command (e.g . to regress) + /// Standard Errors /// + VCE(string) CLuster(string) /// cluster() is an undocumented alternative to vce(cluster ...) + /// IV/2SLS/GMM /// + ESTimator(string) /// 2SLS GMM2s CUE LIML + STAGEs(string) /// besides iv (always on), first reduced ols acid (and all) + FFirst /// Save first-stage stats (only with ivreg2) + IVsuite(string) /// ivreg2 or ivregress + /// Diagnostic /// + Verbose(string) /// + TIMEit /// + /// Optimization /// Defaults are handled within Mata + TOLerance(string) /// + MAXITerations(string) /// + POOLsize(string) /// Process variables in batches of # + ACCELeration(string) /// + TRAnsform(string) /// + /// Speedup Tricks /// + CACHE(string) /// + FAST /// + /// Degrees-of-freedom Adjustments /// + DOFadjustments(string) /// + GROUPVar(name) /// Variable that will contain the first connected group between FEs + /// Undocumented /// + KEEPSINgletons /// (UNDOCUMENTED) Will keep singletons + NOTES(string) /// NOTES(key=value ...), will be stored on e() + ] [*] // Captures i) display options, ii) SUmmarize|SUmmarize(...) + + local allkeys cmdline if in timeit + +* Do this early + local timeit = "`timeit'"!="" + local fast = "`fast'"!="" + local ffirst = "`ffirst'"!="" + + if ("`cluster'"!="") { + Assert ("`vce'"==""), msg("cannot specify both cluster() and vce()") + local vce cluster `cluster' + local cluster // Set it to empty to avoid bugs in subsequent lines + } + +* Also early + ParseCache, cache(`cache') ifin(`if'`in') absorb(`absorb') vce(`vce') + local keys savecache keepvars usecache + foreach key of local keys { + local `key' "`s(`key')'" + } + local allkeys `allkeys' `keys' + +* Parse varlist: depvar indepvars (endogvars = iv_vars) + ParseIV `0', estimator(`estimator') ivsuite(`ivsuite') + local keys subcmd model ivsuite estimator depvar indepvars endogvars instruments fe_format basevars + foreach key of local keys { + local `key' "`s(`key')'" + } + local allkeys `allkeys' `keys' + +* Weights + if ("`weight'"!="") { + local weightvar `exp' + local weighttype `weight' + local weightexp [`weight'=`weightvar'] + confirm var `weightvar', exact // just allow simple weights + + * Check that weights are correct (e.g. with fweight they need to be integers) + local num_type = cond("`weight'"=="fweight", "integers", "reals") + local basenote "{txt}weight {res}`weightvar'{txt} can only contain strictly positive `num_type', but" + local if_and "if" + if ("`if'"!="") local if_and "`if' &" + qui cou `if_and' `weightvar'<0 + Assert (`r(N)'==0), msg("`basenote' `r(N)' negative values were found!") rc(402) + qui cou `if_and' `weightvar'==0 + if (`r(N)'>0) di as text "`basenote' `r(N)' zero values were found (will be dropped)" + qui cou `if_and' `weightvar'>=. + if (`r(N)'>0) di as text "`basenote' `r(N)' missing values were found (will be dropped)" + if ("`weight'"=="fweight") { + qui cou `if_and' mod(`weightvar',1) & `weightvar'<. + Assert (`r(N)'==0), msg("`basenote' `r(N)' non-integer values were found!" "{err} Stopping execution") rc(401) + } + } + local allkeys `allkeys' weightvar weighttype weightexp + +* Parse Absvars and optimization options +if (!`usecache') { + ParseAbsvars `absorb' // Stores results in r() + if (inlist("`verbose'", "4", "5")) return list + local absorb_keepvars `r(all_ivars)' `r(all_cvars)' + local N_hdfe `r(G)' + local has_intercept = `r(has_intercept)' + assert inlist(`has_intercept', 0, 1) + + mata: HDFE_S = map_init() // Reads results from r() + local will_save_fe = `r(will_save_fe)' // Returned from map_init() + local original_absvars "`r(original_absvars)'" + local extended_absvars "`r(extended_absvars)'" + local equation_d "`r(equation_d)'" +} +else { + local will_save_fe 0 + local original_absvars : char _dta[original_absvars] + local extended_absvars : char _dta[extended_absvars] + local equation_d + local N_hdfe : char _dta[N_hdfe] + local has_intercept : char _dta[has_intercept] +} + local allkeys `allkeys' absorb_keepvars N_hdfe will_save_fe original_absvars extended_absvars equation_d has_intercept + + * Tell Mata what weightvar we have + if ("`weightvar'"!="" & !`usecache') mata: map_init_weights(HDFE_S, "`weightvar'", "`weighttype'") + + * Time/panel variables (need to give them to Mata) + local panelvar `_dta[_TSpanel]' + local timevar `_dta[_TStvar]' + if ("`panelvar'"!="") { + cap conf var `panelvar' + if (c(rc)==111) local panelvar // if the var doesn't exist, set it empty + } + if ("`timevar'"!="") { + cap conf var `timevar' + if (c(rc)==111) local timevar // if the var doesn't exist, set it empty + } + + * Parse optimization options (pass them to map_init_*) + * String options + local optlist transform acceleration panelvar timevar + foreach opt of local optlist { + if ("``opt''"!="" & !`usecache') mata: map_init_`opt'(HDFE_S, "``opt''") + } + local allkeys `allkeys' `optlist' + + * This allows changing the groupvar name with -usecache- + if ("`groupvar'"!="") mata: map_init_groupvar(HDFE_S, "`groupvar'") + + * Numeric options + local keepsingletons = ("`keepsingletons'"!="") + local optlist poolsize verbose tolerance maxiterations keepsingletons timeit + foreach opt of local optlist { + if ( "``opt''"!="" & (!`usecache' | "`opt'"=="verbose") ) mata: map_init_`opt'(HDFE_S, ``opt'') + } + local allkeys `allkeys' `optlist' + + * Return back default value of -verbose- + mata: verbose2local(HDFE_S, "verbose") + local allkeys `allkeys' verbose + +* Stages (before vce) + ParseStages, stages(`stages') model(`model') + local stages "`s(stages)'" + local stage_suboptions "`s(stage_suboptions)'" + local savestages = `s(savestages)' + local allkeys `allkeys' stages stage_suboptions savestages + +* Parse VCE options (after stages) + local keys vceoption vcetype vcesuite vceextra num_clusters clustervars bw kernel dkraay kiefer twicerobust + if (!`usecache') { + mata: st_local("hascomma", strofreal(strpos("`vce'", ","))) // is there a commma already in `vce'? + local vcetmp `vce' + if (!`hascomma') local vcetmp `vce' , + ParseVCE `vcetmp' weighttype(`weighttype') ivsuite(`ivsuite') model(`model') + foreach key of local keys { + local `key' "`s(`key')'" + } + } + else { + foreach key of local keys { + local `key' : char _dta[`key'] + } + } + + local allkeys `allkeys' `keys' + +* Parse FFIRST (save first stage statistics) + local allkeys `allkeys' ffirst + if (`ffirst') Assert "`model'"!="ols", msg("ols does not support {cmd}ffirst") + if (`ffirst') Assert "`ivsuite'"=="ivreg2", msg("option {cmd}ffirst{err} requires ivreg2") + +* Update Mata + if ("`clustervars'"!="" & !`usecache') mata: map_init_clustervars(HDFE_S, "`clustervars'") + if ("`vceextra'"!="" & !`usecache') mata: map_init_vce_is_hac(HDFE_S, 1) + +* DoF Adjustments + if ("`dofadjustments'"=="") local dofadjustments all + ParseDOF , `dofadjustments' + local dofadjustments "`s(dofadjustments)'" + * Mobility groups + if ("`groupvar'"!="") conf new var `groupvar' + local allkeys `allkeys' dofadjustments groupvar + +* Parse residuals + if ("`residuals'"!="") { + Assert !`will_save_fe', msg("option residuals() is mutually exclusive with saving fixed effects") + Assert !`savecache', msg("option residuals() is mutually exclusive with -savecache-") + conf new var `residuals' + local allkeys `allkeys' residuals + } + +* Parse summarize option: [summarize | summarize( stats... [,QUIetly])] + * Note: ParseImplicit deals with "implicit" options and fills their default values + local default_stats mean min max + ParseImplicit, opt(SUmmarize) default(`default_stats') input(`options') syntax([namelist(name=stats)] , [QUIetly]) inject(stats quietly) + local summarize_quietly = ("`quietly'"!="") + if ("`stats'"=="" & "`quietly'"!="") local stats `default_stats' + local allkeys `allkeys' stats summarize_quietly + +* Parse speedups + if (`fast' & ("`groupvar'"!="" | `will_save_fe'==1 | "`residuals'"!="")) { + di as error "(warning: option -fast- disabled; not allowed when saving variables: saving fixed effects, mobility groups, residuals)" + local fast 0 + } + local allkeys `allkeys' fast level + +* Nested + local nested = cond("`nested'"!="", 1, 0) // 1=Yes + if (`nested' & !("`model'"=="ols" & "`vcetype'"=="unadjusted") ) { + di as error "-nested- not implemented currently" + Debug, level(0) msg("(option nested ignored, only works with OLS and conventional/unadjusted VCE)") color("error") + } + local allkeys `allkeys' nested + +* Sanity checks on speedups +* With -savecache-, this adds chars (modifies the dta!) so put it close to the end + if (`savecache') { + * Savecache "requires" a previous preserve, so we can directly modify the dataset + Assert "`endogvars'`instruments'"=="", msg("cache(save) option requires a normal varlist, not an iv varlist") + char _dta[reghdfe_cache] 1 + local chars absorb N_hdfe has_intercept original_absvars extended_absvars vce vceoption vcetype vcesuite vceextra num_clusters clustervars bw kernel dkraay kiefer twicerobust + foreach char of local chars { + char _dta[`char'] ``char'' + } + } + +* Parse Coef Table Options (do this last!) + _get_diopts diopts options, `options' // store in `diopts', and the rest back to `options' + Assert `"`options'"'=="", msg(`"invalid options: `options'"') + if ("`hascons'`tsscons'"!="") di in ye "(option `hascons'`tsscons' ignored)" + local allkeys `allkeys' diopts + +* Other keys: + local allkeys `allkeys' suboptions notes + // Missing keys: check + +* Return values + Debug, level(3) newline + Debug, level(3) msg("{title:Parsed options:}") + foreach key of local allkeys { + if (`"``key''"'!="") Debug, level(3) msg(" `key' = " as result `"``key''"') + c_local `key' `"``key''"' // Inject values into caller (reghdfe.ado) + } + +end + +program define ParseCache, sclass + syntax, [CACHE(string)] [IFIN(string) ABSORB(string) VCE(string)] + if ("`cache'"!="") { + local 0 `cache' + syntax name(name=opt id="cache option"), [KEEPvars(varlist)] + Assert inlist("`opt'", "save", "use"), msg("invalid cache option {cmd`opt'}") // -clear- is also a valid option but intercepted earlier + } + + local savecache = ("`opt'"=="save") + local usecache = ("`opt'"=="use") + local is_cache : char _dta[reghdfe_cache] + + * Sanity checks on usecache + if (`usecache') { + local cache_obs : char _dta[cache_obs] + local cache_absorb : char _dta[absorb] + local cache_vce : char _dta[vce] + + Assert "`is_cache'"=="1" , msg("cache(use) requires a previous cache(save) operation") + Assert `cache_obs'==`c(N)', msg("dataset cannot change after cache(save)") + Assert "`cache_absorb'"=="`absorb'", msg("cached dataset has different absorb()") + Assert "`ifin'"=="", msg("cannot use if/in with cache(use); data has already been transformed") + Assert "`cache_vce'"=="`vce'", msg("cached dataset has a different vce()") + } + else { + Assert "`is_cache'"!="1", msg("reghdfe error: data transformed with cache(save) requires cache(use)") + } + + if (!`savecache') Assert "`keepvars'"=="", msg("reghdfe error: {cmd:keepvars()} suboption requires {cmd:cache(save)}") + + local keys savecache keepvars usecache + foreach key of local keys { + sreturn local `key' ``key'' + } +end + +program define ParseIV, sclass + syntax anything(id="varlist" name=0 equalok), [ /// + estimator(string) ivsuite(string) ] + + * Parses varlist: depvar indepvars [(endogvars = instruments)] + * depvar: dependent variable + * indepvars: included exogenous regressors + * endogvars: included endogenous regressors + * instruments: excluded exogenous regressors + + * Model: OLS or IV-type? + local model ols + foreach _ of local 0 { + if (substr(`"`_'"', 1, 1)=="(") { + local model iv + continue, break + } + } + + * IV Suite + if ("`model'"=="iv") { + if ("`ivsuite'"=="") local ivsuite ivreg2 // Set default + Assert inlist("`ivsuite'","ivreg2","ivregress") , /// + msg("error: wrong IV routine (`ivsuite'), valid options are -ivreg2- and -ivregress-") + cap findfile `ivsuite'.ado + Assert !_rc , msg("error: -`ivsuite'- not installed, please run {stata ssc install `ivsuite'} or change the option -ivsuite-") + local subcmd `ivsuite' + } + else { + local subcmd regress + } + + * Estimator + if ("`estimator'"=="" & "`model'"=="iv") local estimator 2sls // Set default + if ("`estimator'"!="") { + Assert "`model'"=="iv", /// + msg("reghdfe error: estimator() requires an instrumental-variable regression") + if (substr("`estimator'", 1, 3)=="gmm") local estimator gmm2s + Assert inlist("`estimator'", "2sls", "gmm2s", "liml", "cue"), /// + msg("reghdfe error: invalid estimator `estimator'") + if ("`estimator'"=="cue") Assert "`ivsuite'"=="ivreg2", /// + msg("reghdfe error: estimator `estimator' only available with the ivreg2 command, not ivregress") + if ("`estimator'"=="cue") di as text "(WARNING: -cue- estimator is not exact, see help file)" + } + + * For this, _iv_parse would have been useful, but I don't want to do factor expansions when parsing + if ("`model'"=="iv") { + + * get part before parentheses + local wrongparens 1 + while (`wrongparens') { + gettoken tmp 0 : 0 ,p("(") + local left `left'`tmp' + * Avoid matching the parens of e.g. L(-1/2) and L.(var1 var2) + * Using Mata to avoid regexm() and trim() space limitations + mata: st_local("tmp1", subinstr(`"`0'"', " ", "") ) // wrong parens if ( and then a number + mata: st_local("tmp2", substr(strtrim(`"`left'"'), -1) ) // wrong parens if dot + local wrongparens = regexm(`"`tmp1'"', "^\([0-9-]") | (`"`tmp2'"'==".") + if (`wrongparens') { + gettoken tmp 0 : 0 ,p(")") + local left `left'`tmp' + } + } + + * get part in parentheses + gettoken right 0 : 0 ,bind match(parens) + Assert trim(`"`0'"')=="" , msg("error: remaining argument: `0'") + + * now parse part in parentheses + gettoken endogvars instruments : right ,p("=") + gettoken equalsign instruments : instruments ,p("=") + + Assert "`endogvars'"!="", msg("iv: endogvars required") + local 0 `endogvars' + syntax varlist(fv ts numeric) + local endogvars `varlist' + + Assert "`instruments'"!="", msg("iv: instruments required") + local 0 `instruments' + syntax varlist(fv ts numeric) + local instruments `varlist' + + local 0 `left' // So OLS part can handle it + } + +* OLS varlist + syntax varlist(fv ts numeric) + gettoken depvar indepvars : varlist + _fv_check_depvar `depvar' + +* Extract format of depvar so we can format FEs like this + fvrevar `depvar', list + local fe_format : format `r(varlist)' // The format of the FEs that will be saved + +* Variables shouldn't be repeated +* This is not perfect (e.g. doesn't deal with "x1-x10") but still helpful + local allvars `depvar' `indepvars' `endogvars' `instruments' + local dupvars : list dups allvars + Assert "`dupvars'"=="", msg("error: there are repeated variables: <`dupvars'>") + +* Get base variables of time and factor variables (e.g. i.foo L(1/3).bar -> foo bar) + foreach vars in depvar indepvars endogvars instruments { + if ("``vars''"!="") { + fvrevar ``vars'' , list + local basevars `basevars' `r(varlist)' + } + } + + local keys subcmd model ivsuite estimator depvar indepvars endogvars instruments fe_format /// + basevars + foreach key of local keys { + sreturn local `key' ``key'' + } +end + +program define ParseStages, sclass + syntax, model(string) [stages(string)] // model can't be blank at this point! + local 0 `stages' + syntax [namelist(name=stages)], [noSAVE] [*] + + if ("`stages'"=="") local stages none + if ("`stages'"=="all") local stages iv first ols reduced acid + + if ("`stages'"!="none") { + Assert "`model'"!="ols", msg("{cmd:stages(`stages')} not allowed with ols") + local special iv none + local valid_stages first ols reduced acid + local stages : list stages - special + local wrong_stages : list stages - valid_stages + Assert "`wrong_stages'"=="", msg("Error, invalid stages(): `wrong_stages'") + * The "iv" stage will be always on for IV-type regressions + local stages `stages' iv // put it last so it does the restore + } + + sreturn local stages `stages' + sreturn local stage_suboptions `options' + sreturn local savestages = ("`save'"!="nosave") +end + +program define ParseVCE, sclass + * Note: bw=1 *usually* means just do HC instead of HAC + * BUGBUG: It is not correct to ignore the case with "bw(1) kernel(Truncated)" + * but it's too messy to add -if-s everywhere just for this rare case (see also Mark Schaffer's email) + + syntax [anything(id="VCE type")] , /// + [bw(integer 1) KERnel(string) dkraay(integer 1) kiefer] /// + [suite(string) TWICErobust] /// + [weighttype(string)] /// + model(string) /// + [ivsuite(string)] + + Assert `bw'>0, msg("VCE bandwidth must be a positive integer") + gettoken vcetype clustervars : anything + * Expand variable abbreviations; but this adds unwanted i. prefixes + if ("`clustervars'"!="") { + fvunab clustervars : `clustervars' + local clustervars : subinstr local clustervars "i." "", all + } + + * vcetype abbreviations: + if (substr("`vcetype'",1,3)=="ols") local vcetype unadjusted + if (substr("`vcetype'",1,2)=="un") local vcetype unadjusted + if (substr("`vcetype'",1,1)=="r") local vcetype robust + if (substr("`vcetype'",1,2)=="cl") local vcetype cluster + if ("`vcetype'"=="conventional") local vcetype unadjusted // Conventional is the name given in e.g. xtreg + Assert strpos("`vcetype'",",")==0, msg("Unexpected contents of VCE: <`vcetype'> has a comma") + + * Implicit defaults + if ("`vcetype'"=="" & "`weighttype'"=="pweight") local vcetype robust + if ("`vcetype'"=="") local vcetype unadjusted + + * Sanity checks on vcetype + Assert inlist("`vcetype'", "unadjusted", "robust", "cluster"), /// + msg("vcetype '`vcetype'' not allowed") + + Assert !("`vcetype'"=="unadjusted" & "`weighttype'"=="pweight"), /// + msg("pweights do not work with vce(unadjusted), use a different vce()") + * Recall that [pw] = [aw] + _robust http://www.stata.com/statalist/archive/2007-04/msg00282.html + + * Also see: http://www.stata.com/statalist/archive/2004-11/msg00275.html + * "aweights are for cell means data, i.e. data which have been collapsed through averaging, + * and pweights are for sampling weights" + + * Cluster vars + local num_clusters : word count `clustervars' + Assert inlist( (`num_clusters'>0) + ("`vcetype'"=="cluster") , 0 , 2), msg("Can't specify cluster without clustervars and viceversa") // XOR + + * VCE Suite + local vcesuite `suite' + if ("`vcesuite'"=="") local vcesuite default + if ("`vcesuite'"=="default") { + if (`bw'>1 | `dkraay'>1 | "`kiefer'"!="" | "`kernel'"!="") { + local vcesuite avar + } + else if (`num_clusters'>1) { + local vcesuite mwc + } + } + + Assert inlist("`vcesuite'", "default", "mwc", "avar"), msg("Wrong vce suite: `vcesuite'") + + if ("`vcesuite'"=="mwc") { + cap findfile tuples.ado + Assert !_rc , msg("error: -tuples- not installed, please run {stata ssc install tuples} to estimate multi-way clusters.") + } + + if ("`vcesuite'"=="avar") { + cap findfile avar.ado + Assert !_rc , msg("error: -avar- not installed, please run {stata ssc install avar} or change the option -vcesuite-") + } + + * Some combinations are not coded + Assert !("`ivsuite'"=="ivregress" & (`num_clusters'>1 | `bw'>1 | `dkraay'>1 | "`kiefer'"!="" | "`kernel'"!="") ), msg("option vce(`vce') incompatible with ivregress") + Assert !("`ivsuite'"=="ivreg2" & (`num_clusters'>2) ), msg("ivreg2 doesn't allow more than two cluster variables") + Assert !("`model'"=="ols" & "`vcesuite'"=="avar" & (`num_clusters'>2) ), msg("avar doesn't allow more than two cluster variables") + Assert !("`model'"=="ols" & "`vcesuite'"=="default" & (`bw'>1 | `dkraay'>1 | "`kiefer'"!="" | "`kernel'"!="") ), msg("to use those vce options you need to use -avar- as the vce suite") + if (`num_clusters'>0) local temp_clustervars " " + if (`bw'==1 & `dkraay'==1 & "`kernel'"!="") local kernel // No point in setting kernel here + if (`bw'>1 | "`kernel'"!="") local vceextra `vceextra' bw(`bw') + if (`dkraay'>1) local vceextra `vceextra' dkraay(`dkraay') + if ("`kiefer'"!="") local vceextra `vceextra' kiefer + if ("`kernel'"!="") local vceextra `vceextra' kernel(`kernel') + if ("`vceextra'"!="") local vceextra , `vceextra' + local vceoption "`vcetype'`temp_clustervars'`vceextra'" // this excludes "vce(", only has the contents + +* Parse -twicerobust- + * If true, will use wmatrix(...) vce(...) instead of wmatrix(...) vce(unadjusted) + * The former is closer to -ivregress- but not exact, the later matches -ivreg2- + local twicerobust = ("`twicerobust'"!="") + + local keys vceoption vcetype vcesuite vceextra num_clusters clustervars bw kernel dkraay twicerobust kiefer + foreach key of local keys { + sreturn local `key' ``key'' + } +end + +program define ParseAbsvars, rclass +syntax anything(id="absvars" name=absvars equalok everything), [SAVEfe] + * Logic: split absvars -> expand each into factors -> split each into parts + + local g 0 + local all_cvars + local all_ivars + + * Convert "target = absvar" into "target=absvar" + * Need to deal with "= " " =" " = " and similar cases + while (regexm("`absvars'", "[ ][ ]+")) { + local absvars : subinstr local absvars " " " ", all + } + local absvars : subinstr local absvars " =" "=", all + local absvars : subinstr local absvars "= " "=", all + + while ("`absvars'"!="") { + local ++g + gettoken absvar absvars : absvars, bind + local target + if strpos("`absvar'","=") gettoken target absvar : absvar, parse("=") + if ("`target'"!="") { + conf new var `target' + gettoken eqsign absvar : absvar, parse("=") + } + + local hasdot = strpos("`absvar'", ".") + local haspound = strpos("`absvar'", "#") + if (!`hasdot' & !`haspound') local absvar i.`absvar' + + local 0 `absvar' + syntax varlist(numeric fv) + * This will expand very aggressively: + * EG: x##c.y -> i.x c.y i.x#c.y + * di as error " varlist=<`varlist'>" + + local ivars + local cvars + + local absvar_has_intercept 0 + local has_intercept 0 + + foreach factor of local varlist { + local hasdot = strpos("`factor'", ".") + local haspound = strpos("`factor'", "#") + local factor_has_cvars 0 + + if (!`hasdot') continue + while ("`factor'"!="") { + gettoken part factor : factor, parse("#") + local is_indicator = strpos("`part'", "i.") + local is_continuous = strpos("`part'", "c.") + local basevar = substr("`part'", 3, .) + if (`is_indicator') local ivars `ivars' `basevar' + if (`is_continuous') { + local cvars `cvars' `basevar' + local factor_has_cvars 1 + } + } + if (!`factor_has_cvars') local absvar_has_intercept 1 + } + + local ivars : list uniq ivars + local num_slopes : word count `cvars' + Assert "`ivars'"!="", msg("error parsing absvars: no indicator variables in absvar <`absvar'> (expanded to `varlist')") + local unique_cvars : list uniq cvars + Assert (`: list unique_cvars == cvars'), msg("error parsing absvars: factor interactions such as i.x##i.y not allowed") + + local all_cvars `all_cvars' `cvars' + local all_ivars `all_ivars' `ivars' + + if (`absvar_has_intercept') local has_intercept 1 + + return local target`g' `target' + return local ivars`g' `ivars' + return local cvars`g' `cvars' + return scalar has_intercept`g' = `absvar_has_intercept' + return scalar num_slopes`g' = `num_slopes' + + local label : subinstr local ivars " " "#", all + if (`num_slopes'==1) { + local label `label'#c.`cvars' + } + else if (`num_slopes'>1) { + local label `label'#c.(`cvars') + } + return local varlabel`g' `label' + + } + + local all_ivars : list uniq all_ivars + local all_cvars : list uniq all_cvars + + return scalar G = `g' + return scalar savefe = ("`savefe'"!="") + return local all_ivars `all_ivars' + return local all_cvars `all_cvars' + return scalar has_intercept = `has_intercept' // 1 if the model is not a pure-intercept one +end + +program define ParseDOF, sclass + syntax, [ALL NONE] [PAIRwise FIRSTpair] [CLusters] [CONTinuous] + opts_exclusive "`all' `none'" dofadjustments + opts_exclusive "`pairwise' `firstpair'" dofadjustments + if ("`none'"!="") { + Assert "`pairwise'`firstpair'`clusters'`continuous'"=="", msg("option {bf:dofadjustments()} invalid; {bf:none} not allowed with other alternatives") + local dofadjustments + } + if ("`all'"!="") { + Assert "`pairwise'`firstpair'`clusters'`continuous'"=="", msg("option {bf:dofadjustments()} invalid; {bf:all} not allowed with other alternatives") + local dofadjustments pairwise clusters continuous + } + else { + local dofadjustments `pairwise' `firstpair' `clusters' `continuous' + } + sreturn local dofadjustments "`dofadjustments'" +end + +program define ParseImplicit +* Parse options in the form NAME|NAME(arguments) + * opt() name of the option (so if opt=spam, we can have spam or spam(...)) + * default() default value for the implicit form (in case we don't have a parenthesis) + * syntax() syntax of the contents of the parenthesis + * input() text to parse (usually `options', the result of a previous syntax .. , .. [*] ) + * inject() what locals to inject on the caller (depend on -syntax) + * xor opt is mandatory (one of the two versions must occur) + syntax, opt(name local) default(string) syntax(string asis) [input(string asis)] inject(namelist local) [xor] + + * First see if the implicit version is possible + local lower_opt = lower("`opt'") + local 0 , `input' + cap syntax, `opt' [*] + if ("`xor'"=="") local capture capture + local rc = _rc + if (`rc') { + `capture' syntax, `opt'(string asis) [*] + if ("`capture'"!="" & _rc) exit + } + else { + local `lower_opt' `default' + } + local 0 ``lower_opt'' + syntax `syntax' + foreach loc of local inject { + c_local `loc' ``loc'' + } + c_local options `options' +end + +program define GenUID + args uid + local uid_type = cond(c(N)>c(maxlong), "double", "long") + gen `uid_type' `uid' = _n // Useful for later merges + la var `uid' "[UID]" +end + +program define Compact, sclass +syntax, basevars(string) verbose(integer) [depvar(string) indepvars(string) endogvars(string) instruments(string)] /// + [uid(string) timevar(string) panelvar(string) weightvar(string) weighttype(string) /// + absorb_keepvars(string) clustervars(string)] /// + [if(string) in(string) vceextra(string)] [savecache(integer 0) more_keepvars(varlist)] + +* Drop unused variables + local weight "`weighttype'" + local exp "= `weightvar'" + + marksample touse, novar // Uses -if- , -in- and -exp- ; can't drop any var until this + local cluster_keepvars `clustervars' + local cluster_keepvars : subinstr local cluster_keepvars "#" " ", all + local cluster_keepvars : subinstr local cluster_keepvars "i." "", all + keep `uid' `touse' `basevars' `timevar' `panelvar' `weightvar' `absorb_keepvars' `cluster_keepvars' `more_keepvars' + +* Expand factor and time-series variables + local expandedvars + local sets depvar indepvars endogvars instruments // depvar MUST be first + Debug, level(4) newline + Debug, level(4) msg("{title:Expanding factor and time-series variables:}") + foreach set of local sets { + local varlist ``set'' + if ("`varlist'"=="") continue + // local original_`set' `varlist' + * the -if- prevents creating dummies for categories that have been excluded + ExpandFactorVariables `varlist' if `touse', setname(`set') verbose(`verbose') savecache(`savecache') + local `set' "`r(varlist)'" + local expandedvars `expandedvars' ``set'' + } + +* Variables needed for savecache + if (`savecache') { + local cachevars `timevar' `panelvar' + foreach basevar of local basevars { + local in_expanded : list basevar in expandedvars + if (!`in_expanded') { + local cachevars `cachevars' `basevar' + } + } + c_local cachevars `cachevars' + if ("`cachevars'"!="") Debug, level(0) msg("(cachevars: {res}`cachevars'{txt})") + } + +* Drop unused basevars and tsset vars (usually no longer needed) + if ("`vceextra'"!="") local tsvars `panelvar' `timevar' // We need to keep them only with autoco-robust VCE + keep `uid' `touse' `expandedvars' `weightvar' `absorb_keepvars' `cluster_keepvars' `tsvars' `cachevars' `more_keepvars' + +* Drop excluded observations and observations with missing values + markout `touse' `expandedvars' `weightvar' `absorb_keepvars' `cluster_keepvars' + qui keep if `touse' + if ("`weightvar'"!="") assert `weightvar'>0 // marksample should have dropped those // if ("`weightvar'"!="") qui drop if (`weightvar'==0) + Assert c(N)>0, rc(2000) msg("Empty sample, check for missing values or an always-false if statement") + if ("`weightvar'"!="") { + la var `weightvar' "[WEIGHT] `: var label `weightvar''" + } + foreach set of local sets { + if ("``set''"!="") c_local `set' ``set'' + } + c_local expandedvars `expandedvars' +end + + +// ------------------------------------------------------------------------------------------------- +// Expand factor time-series variables +// ------------------------------------------------------------------------------------------------- +* Steps: +* 1) Call -fvrevar- +* 2) Label newly generated temporary variables +* 3) Drop i) omitted variables, and ii) base variables (if not part of a #c.var interaction) + +program define ExpandFactorVariables, rclass +syntax varlist(min=1 numeric fv ts) [if] [,setname(string)] [SAVECACHE(integer 0)] verbose(integer) + + * If saving the data for later regressions -savecache(..)- we will need to match each expansion to its newvars + * The mata array is used for that + * Note: This explains why we need to wrap -fvrevar- in a loop + if (`savecache') { + mata: varlist_cache = asarray_create() + mata: asarray_notfound(varlist_cache, "") + } + + local expanded_msg `"" - variable expansion for `setname': {res}`varlist'{txt} ->""' + while (1) { + gettoken factorvar varlist : varlist, bind + if ("`factorvar'"=="") continue, break + + * Create temporary variables from time and factor expressions + * -fvrevar- is slow so only call it if needed + mata: st_local("hasdot", strofreal(strpos("`factorvar'", ".")>0)) + if (`hasdot') { + fvrevar `factorvar' `if' // , stub(__V__) // stub doesn't work in Stata 11.2 + local subvarlist `r(varlist)' + } + else { + local subvarlist `factorvar' + } + + local contents + foreach var of varlist `subvarlist' { + LabelRenameVariable `var' // Tempvars not renamed will be dropped automatically + if !r(is_dropped) { + local contents `contents' `r(varname)' + // if (`savecache') di as error `""' + if (`savecache') mata: asarray(varlist_cache, "`factorvar'", asarray(varlist_cache, "`factorvar'") + " " + "`r(varname)'") + } + * Yellow=Already existed, White=Created, Red=NotCreated (omitted or base) + local color = cond(r(is_dropped), "error", cond(r(is_newvar), "input", "result")) + if (`verbose'>3) { + local expanded_msg `"`expanded_msg' as `color' " `r(name)'" as text " (`r(varname)')""' + } + } + Assert "`contents'"!="", msg("error: variable -`factorvar'- in varlist -`varlist'- in category -`setname'- is empty after factor/time expansion") + local newvarlist `newvarlist' `contents' + } + + Debug, level(4) msg(`expanded_msg') + return clear + return local varlist "`newvarlist'" +end + +program define LabelRenameVariable, rclass +syntax varname + local var `varlist' + local fvchar : char `var'[fvrevar] + local tschar : char `var'[tsrevar] + local is_newvar = ("`fvchar'`tschar'"!="") & substr("`var'", 1, 2)=="__" + local name "`var'" + local will_drop 0 + + if (`is_newvar') { + local name "`fvchar'`tschar'" + local parts : subinstr local fvchar "#" " ", all + local has_cont_interaction = strpos("`fvchar'", "c.")>0 + local is_omitted 0 + local is_base 0 + foreach part of local parts { + if (regexm("`part'", "b.*\.")) local is_base 1 + if (regexm("`part'", "o.*\.")) local is_omitted 1 + } + + local will_drop = (`is_omitted') | (`is_base' & !`has_cont_interaction') + if (!`will_drop') { + char `var'[name] `name' + la var `var' "[TEMPVAR] `name'" + local newvar : subinstr local name "." "__", all + local newvar : subinstr local newvar "#" "_X_", all + * -permname- selects newname# if newname is taken (# is the first number available) + local newvar : permname __`newvar', length(30) + rename `var' `newvar' + local var `newvar' + } + } + else { + char `var'[name] `var' + } + + return scalar is_newvar = `is_newvar' + return scalar is_dropped = `will_drop' + return local varname "`var'" + return local name "`name'" +end + +program define Prepare, sclass + +syntax, depvar(string) stages(string) model(string) expandedvars(string) vcetype(string) /// + has_intercept(integer) /// + [weightexp(string) endogvars(string)] + +* Save the statistics we need before transforming the variables + * Compute TSS of untransformed depvar + local tmpweightexp = subinstr("`weightexp'", "[pweight=", "[aweight=", 1) + qui su `depvar' `tmpweightexp' + + local tss = r(Var)*(r(N)-1) + if (!`has_intercept') local tss = `tss' + r(sum)^2 / (r(N)) + c_local tss = `tss' + + if (`: list posof "first" in stages') { + foreach var of varlist `endogvars' { + qui su `var' `tmpweightexp' + + local tss = r(Var)*(r(N)-1) + if (!`has_intercept') local tss = `tss' + r(sum)^2 / (r(N)) + c_local tss_`var' = `tss' + } + } + +* (optional) Compute R2/RSS to run nested Ftests on the FEs + * a) Compute R2 of regression without FE, to build the joint FTest for all the FEs + * b) Also, compute RSS of regressions with less FEs so we can run nested FTests on the FEs + if ("`model'"=="ols" & inlist("`vcetype'", "unadjusted", "ols")) { + qui _regress `expandedvars' `weightexp', noheader notable + c_local r2c = e(r2) + } +end + + +// ----------------------------------------------------------------------------- +// Matrix of summary statistics +// ----------------------------------------------------------------------------- + +program define Stats + syntax varlist(numeric), [weightexp(string)] stats(string) statsmatrix(string) [USEcache] + + if ("`usecache'"=="") { + local tabstat_weight : subinstr local weightexp "[pweight" "[aweight" + qui tabstat `varlist' `tabstat_weight' , stat(`stats') col(stat) save + matrix `statsmatrix' = r(StatTotal) + + * Fix names (__L__.price -> L.price) + local colnames : colnames `statsmatrix' + FixVarnames `colnames' + local colnames "`r(newnames)'" + matrix colnames `statsmatrix' = `colnames' + } + else { + cap conf matrix reghdfe_statsmatrix + + * Fix names + FixVarnames `varlist' + local sample_names "`r(newnames)'" + + * Trim matrix + local all_names : colnames reghdfe_statsmatrix + local first 1 // 1 if `statsmatrix' is still empty + foreach name of local all_names { + local is_match : list name in sample_names + if (`is_match' & `first') { + local first 0 + matrix `statsmatrix' = reghdfe_statsmatrix[1..., "`name'"] + } + else if (`is_match') { + matrix `statsmatrix' = `statsmatrix' , reghdfe_statsmatrix[1..., "`name'"] + } + } + } +end + + +* Compute model F-test; called by regress/mwc/avar wrappers + +program define JointTest, eclass + args K + if (`K'>0) { + RemoveOmitted + qui test `r(indepvars)' // Wald test + if (r(drop)==1) { + Debug, level(0) msg("WARNING: Missing F statistic (dropped variables due to collinearity or too few clusters).") + ereturn scalar F = . + } + else { + ereturn scalar F = r(F) + if missing(e(F)) di as error "WARNING! Missing FStat" + } + ereturn scalar df_m = r(df) + ereturn scalar rank = r(df) // Not adding constant anymore + } + else { + ereturn scalar F = 0 + ereturn scalar df_m = 0 + ereturn scalar rank = 0 // Not adding constant anymore + } +end + +* Remove omitted variables from a beta matrix, and return remaining indepvars + +program define RemoveOmitted, rclass + tempname b + matrix `b' = e(b) + local names : colnames `b' + foreach name of local names { + _ms_parse_parts `name' + assert inlist(r(omit),0,1) + if !r(omit) { + local indepvars `indepvars' `name' + } + } + return local indepvars `indepvars' +end + +program define Wrapper_regress, eclass + syntax , depvar(varname) [indepvars(varlist)] /// + vceoption(string asis) /// + kk(integer) /// + [weightexp(string)] /// + [SUBOPTions(string)] [*] // [*] are ignored! + + if ("`options'"!="") Debug, level(3) msg("(ignored options: `options')") + if (`c(version)'>=12) local hidden hidden + +* Convert -vceoption- to what -regress- expects + gettoken vcetype clustervars : vceoption + local clustervars `clustervars' // Trim + local vceoption : subinstr local vceoption "unadjusted" "ols" + local vceoption "vce(`vceoption')" + + RemoveCollinear, depvar(`depvar') indepvars(`indepvars') weightexp(`weightexp') + local K = r(df_m) + local vars `r(vars)' + +* Run -regress- + local subcmd regress `vars' `weightexp', `vceoption' `suboptions' noconstant noheader notable + Debug, level(3) msg("Subcommand: " in ye "`subcmd'") + qui `subcmd' + + local N = e(N) // We can't use c(N) due to possible frequency weights + local WrongDoF = `N' - `K' + if ("`vcetype'"!="cluster" & e(df_r)!=`WrongDoF') { + local difference = `WrongDoF' - e(df_r) + local NewDFM = e(df_m) - `difference' + di as result "(warning: regress returned e(df_r)==`e(df_r)', but we expected it to be `WrongDoF')" + Assert e(df_m)>=0, msg("try removing collinear regressors or setting a higher tol()") + di as result "(workaround: we will set e(df_m)=`NewDFM' instead of `e(df_m)')" + } + local CorrectDoF = `WrongDoF' - `kk' // kk = Absorbed DoF + +* Store results for the -ereturn post- + tempname b V + matrix `b' = e(b) + matrix `V' = e(V) + local N = e(N) + local marginsok = e(marginsok) + local rmse = e(rmse) + local rss = e(rss) + local tss = e(mss) + e(rss) // Regress doesn't report e(tss) + local N_clust = e(N_clust) + + local predict = e(predict) + local cmd = e(cmd) + local cmdline "`e(cmdline)'" + local title = e(title) + + * Fix V + if (`K'>0) matrix `V' = `V' * (`WrongDoF' / `CorrectDoF') + + * DoF + if ("`vcetype'"=="cluster") { + Assert e(df_r) == e(N_clust) - 1 + Assert e(N_clust) > `K', msg("insufficient observations (N_clust=`e(N_clust)', K=`K')") rc(2001) + } + local df_r = cond( "`vcetype'"=="cluster" , e(df_r) , max( `CorrectDoF' , 0 ) ) + + * Post + * Note: the dof() option of regress is *useless* with robust errors, + * and overriding e(df_r) is also useless because -test- ignores it, + * so we have to go all the way and do a -post- from scratch + capture ereturn post `b' `V' `weightexp', dep(`depvar') obs(`N') dof(`df_r') properties(b V) + local rc = _rc + Assert inlist(_rc,0,504), msg("error `=_rc' when adjusting the VCV") // 504 = Matrix has MVs + Assert `rc'==0, msg("Error: estimated variance-covariance matrix has missing values") + ereturn local marginsok = "`marginsok'" + ereturn local predict = "`predict'" + ereturn local cmd = "`cmd'" + ereturn local cmdline `"`cmdline'"' + ereturn local title = "`title'" + ereturn local clustvar = "`clustervars'" + ereturn scalar rmse = `rmse' + ereturn scalar rss = `rss' + ereturn scalar tss = `tss' + if (`N_clust'<.) ereturn scalar N_clust = `N_clust' + if (`N_clust'<.) ereturn scalar N_clust1 = `N_clust' + ereturn `hidden' scalar unclustered_df_r = `CorrectDoF' // Used later in R2 adj + +* Compute model F-test + JointTest `K' // adds e(F), e(df_m), e(rank) +end + + +* Tag Collinear Variables with an o. and compute correct e(df_m) + * Obtain K so we can obtain DoF = N - K - kk + * This is already done by regress EXCEPT when clustering + * (but we still need the unclustered version for r2_a, etc.) + +program define RemoveCollinear, rclass + syntax, depvar(varname numeric) [indepvars(varlist numeric) weightexp(string)] + + qui _rmcoll `indepvars' `weightexp', forcedrop + local okvars "`r(varlist)'" + if ("`okvars'"==".") local okvars + local df_m : list sizeof okvars + + foreach var of local indepvars { + local ok : list var in okvars + local prefix = cond(`ok', "", "o.") + local label : char `var'[name] + if (!`ok') di as text "note: `label' omitted because of collinearity" + local varlist `varlist' `prefix'`var' + } + + mata: st_local("vars", strtrim(stritrim( "`depvar' `varlist'" )) ) // Just for aesthetic purposes + return local vars "`vars'" + return scalar df_m = `df_m' + +end + +program define Wrapper_avar, eclass + syntax , depvar(varname) [indepvars(varlist)] /// + vceoption(string asis) /// + kk(integer) /// + [weightexp(string)] /// + [SUBOPTions(string)] [*] // [*] are ignored! + + if ("`options'"!="") Debug, level(3) msg("(ignored options: `options')") + if (`c(version)'>=12) local hidden hidden + + local tmpweightexp = subinstr("`weightexp'", "[pweight=", "[aweight=", 1) + +* Convert -vceoption- to what -avar- expects + local 0 `vceoption' + syntax namelist(max=3) , [bw(integer 1) dkraay(integer 1) kernel(string) kiefer] + gettoken vcetype clustervars : namelist + local clustervars `clustervars' // Trim + Assert inlist("`vcetype'", "unadjusted", "robust", "cluster") + local vceoption = cond("`vcetype'"=="unadjusted", "", "`vcetype'") + if ("`clustervars'"!="") local vceoption `vceoption'(`clustervars') + if (`bw'>1) local vceoption `vceoption' bw(`bw') + if (`dkraay'>1) local vceoption `vceoption' dkraay(`dkraay') + if ("`kernel'"!="") local vceoption `vceoption' kernel(`kernel') + if ("`kiefer'"!="") local vceoption `vceoption' kiefer + +* Before -avar- we need: +* i) inv(X'X) +* ii) DoF lost due to included indepvars +* iii) resids + +* Remove collinear variables; better than what -regress- does + RemoveCollinear, depvar(`depvar') indepvars(`indepvars') weightexp(`weightexp') + local K = r(df_m) + local vars `r(vars)' + +* Note: It would be shorter to use -mse1- (b/c then invSxx==e(V)*e(N)) but then I don't know e(df_r) + local subcmd regress `vars' `weightexp', noconstant + Debug, level(3) msg("Subcommand: " in ye "`subcmd'") + qui `subcmd' + qui cou if !e(sample) + assert r(N)==0 + + local K = e(df_m) // Should also be equal to e(rank)+1 + local WrongDoF = e(df_r) + + * Store some results for the -ereturn post- + tempname b + matrix `b' = e(b) + local N = e(N) + local marginsok = e(marginsok) + local rmse = e(rmse) + local rss = e(rss) + local tss = e(mss) + e(rss) // Regress doesn't report e(tss) + + local predict = e(predict) + local cmd = e(cmd) + local cmdline `"`e(cmdline)'"' + local title = e(title) + + * Compute the bread of the sandwich inv(X'X/N) + tempname XX invSxx + qui mat accum `XX' = `indepvars' `tmpweightexp', noconstant + * WHY DO I NEED TO REPLACE PWEIGHT WITH AWEIGHT HERE?!? + + * (Is this precise enough? i.e. using -matrix- commands instead of mata?) + mat `invSxx' = syminv(`XX' * 1/`N') + + * Resids + tempvar resid + predict double `resid', resid + + * DoF + local df_r = max( `WrongDoF' - `kk' , 0 ) + +* Use -avar- to get meat of sandwich + local subcmd avar `resid' (`indepvars') `weightexp', `vceoption' noconstant // dofminus(0) + Debug, level(3) msg("Subcommand: " in ye "`subcmd'") + cap `subcmd' + local rc = _rc + if (`rc') { + di as error "Error in -avar- module:" + noi `subcmd' + exit 198 + } + + local N_clust = r(N_clust) + local N_clust1 = cond(r(N_clust1)<., r(N_clust1), r(N_clust)) + local N_clust2 = r(N_clust2) + +* Get the entire sandwich + * Without clusters it's as if every obs. is is own cluster + local M = cond( r(N_clust) < . , r(N_clust) , r(N) ) + local q = ( `N' - 1 ) / `df_r' * `M' / (`M' - 1) // General formula, from Stata PDF + tempname V + + * A little worried about numerical precision + matrix `V' = `invSxx' * r(S) * `invSxx' / r(N) // Large-sample version + matrix `V' = `V' * `q' // Small-sample adjustments + * At this point, we have the true V and just need to add it to e() + +* Avoid corner case error when all the RHS vars are collinear with the FEs + local unclustered_df_r = `df_r' // Used later in R2 adj + if (`dkraay'>1) local clustervars "`_dta[_TStvar]'" // BUGBUG ? + if ("`clustervars'"!="") local df_r = `M' - 1 + + capture ereturn post `b' `V' `weightexp', dep(`depvar') obs(`N') dof(`df_r') properties(b V) + + local rc = _rc + Assert inlist(_rc,0,504), msg("error `=_rc' when adjusting the VCV") // 504 = Matrix has MVs + Assert `rc'==0, msg("Error: estimated variance-covariance matrix has missing values") + ereturn local marginsok = "`marginsok'" + ereturn local predict = "`predict'" + ereturn local cmd = "`cmd'" + ereturn local cmdline `"`cmdline'"' + ereturn local title = "`title'" + ereturn local clustvar = "`clustervars'" + + ereturn scalar rmse = `rmse' + ereturn scalar rss = `rss' + ereturn scalar tss = `tss' + if ("`N_clust'"!="") ereturn scalar N_clust = `N_clust' + if ("`N_clust1'"!="" & "`N_clust1'"!=".") ereturn scalar N_clust1 = `N_clust1' + if ("`N_clust2'"!="" & "`N_clust2'"!=".") ereturn scalar N_clust2 = `N_clust2' + ereturn `hidden' scalar unclustered_df_r = `unclustered_df_r' + + if (`bw'>1) { + ereturn scalar bw = `bw' + if ("`kernel'"=="") local kernel Bartlett // Default + } + if ("`kernel'"!="") ereturn local kernel = "`kernel'" + if ("`kiefer'"!="") ereturn local kiefer = "`kiefer'" + if (`dkraay'>1) ereturn scalar dkraay = `dkraay' + +* Compute model F-test + JointTest `K' // adds e(F), e(df_m), e(rank) +end + +program define Wrapper_mwc, eclass +* This will compute an ols regression with 2+ clusters +syntax , depvar(varname) [indepvars(varlist)] /// + vceoption(string asis) /// + kk(integer) /// + [weightexp(string)] /// + [SUBOPTions(string)] [*] // [*] are ignored! + + if ("`options'"!="") Debug, level(3) msg("(ignored options: `options')") + if (`c(version)'>=12) local hidden hidden + +* Parse contents of VCE() + local 0 `vceoption' + syntax namelist(max=11) // Of course clustering by anything beyond 2-3 is insane + gettoken vcetype clustervars : namelist + assert "`vcetype'"=="cluster" + local clustervars `clustervars' // Trim + +* Remove collinear variables; better than what -regress- does + RemoveCollinear, depvar(`depvar') indepvars(`indepvars') weightexp(`weightexp') + local K = r(df_m) + local vars `r(vars)' + +* Obtain e(b), e(df_m), and resids + local subcmd regress `vars' `weightexp', noconstant + Debug, level(3) msg("Subcommand: " in ye "`subcmd'") + qui `subcmd' + + local K = e(df_m) + local WrongDoF = e(df_r) + + * Store some results for the -ereturn post- + tempname b + matrix `b' = e(b) + local N = e(N) + local marginsok = e(marginsok) + local rmse = e(rmse) + local rss = e(rss) + local tss = e(mss) + e(rss) // Regress doesn't report e(tss) + + local predict = e(predict) + local cmd = e(cmd) + local cmdline "`e(cmdline)'" + local title = e(title) + + * Compute the bread of the sandwich D := inv(X'X/N) + tempname XX invSxx + qui mat accum `XX' = `indepvars' `weightexp', noconstant + mat `invSxx' = syminv(`XX') // This line is different from + + * Resids + tempvar resid + predict double `resid', resid + + * DoF + local df_r = max( `WrongDoF' - `kk' , 0 ) + +* Use MWC to get meat of sandwich "M" (notation: V = DMD) + local size = rowsof(`invSxx') + tempname M V // Will store the Meat and the final Variance + matrix `V' = J(`size', `size', 0) + +* This gives all the required combinations of clustervars (ssc install tuples) + tuples `clustervars' // create locals i) ntuples, ii) tuple1 .. tuple# + tempvar group + local N_clust = . + local j 0 + + forval i = 1/`ntuples' { + matrix `M' = `invSxx' + local vars `tuple`i'' + local numvars : word count `vars' + local sign = cond(mod(`numvars', 2), "+", "-") // + with odd number of variables, - with even + + GenerateID `vars', gen(`group') + + if (`numvars'==1) { + su `group', mean + local ++j + local h : list posof "`vars'" in clustervars + local N_clust`h' = r(max) + + local N_clust = min(`N_clust', r(max)) + Debug, level(2) msg(" - multi-way-clustering: `vars' has `r(max)' groups") + } + + * Compute the full sandwich (will be saved in `M') + + _robust `resid' `weightexp', variance(`M') minus(0) cluster(`group') // Use minus==1 b/c we adjust the q later + Debug, level(3) msg(as result "`sign' `vars'") + * Add it to the other sandwiches + matrix `V' = `V' `sign' `M' + drop `group' + } + + local N_clustervars = `j' + +* If the VCV matrix is not positive-semidefinite, use the fix from +* Cameron, Gelbach & Miller - Robust Inference with Multi-way Clustering (JBES 2011) +* 1) Use eigendecomposition V = U Lambda U' where U are the eigenvectors and Lambda = diag(eigenvalues) +* 2) Replace negative eigenvalues into zero and obtain FixedLambda +* 3) Recover FixedV = U * FixedLambda * U' +* This will fail if V is not symmetric (we could use -mata makesymmetric- to deal with numerical precision errors) + + mata: fix_psd("`V'") // This will update `V' making it PSD + assert inlist(`eigenfix', 0, 1) + if (`eigenfix') Debug, level(0) msg("Warning: VCV matrix was non-positive semi-definite; adjustment from Cameron, Gelbach & Miller applied.") + + local M = `N_clust' // cond( `N_clust' < . , `N_clust' , `N' ) + local q = ( `N' - 1 ) / `df_r' * `M' / (`M' - 1) // General formula, from Stata PDF + matrix `V' = `V' * `q' + + * At this point, we have the true V and just need to add it to e() + + local unclustered_df_r = `df_r' // Used later in R2 adj + local df_r = `M' - 1 // Cluster adjustment + + capture ereturn post `b' `V' `weightexp', dep(`depvar') obs(`N') dof(`df_r') properties(b V) + + local rc = _rc + Assert inlist(_rc,0,504), msg("error `=_rc' when adjusting the VCV") // 504 = Matrix has MVs + Assert `rc'==0, msg("Error: estimated variance-covariance matrix has missing values") + ereturn local marginsok = "`marginsok'" + ereturn local predict = "`predict'" + ereturn local cmd = "`cmd'" + ereturn local cmdline `"`cmdline'"' + ereturn local title = "`title'" + ereturn scalar rmse = `rmse' + ereturn scalar rss = `rss' + ereturn scalar tss = `tss' + ereturn `hidden' scalar unclustered_df_r = `unclustered_df_r' + + ereturn local clustvar = "`clustervars'" + assert `N_clust'<. + ereturn scalar N_clust = `N_clust' + forval i = 1/`N_clustervars' { + ereturn scalar N_clust`i' = `N_clust`i'' + } + +* Compute model F-test + JointTest `K' // adds e(F), e(df_m), e(rank) +end + +program define Wrapper_ivreg2, eclass + syntax , depvar(varname) endogvars(varlist) instruments(varlist) /// + [indepvars(varlist)] /// + vceoption(string asis) /// + KK(integer) /// + ffirst(integer) /// + [weightexp(string)] /// + [ESTimator(string)] /// + [num_clusters(string) clustervars(string)] /// + [SUBOPTions(string)] [*] // [*] are ignored! + if ("`options'"!="") Debug, level(3) msg("(ignored options: `options')") + if (`c(version)'>=12) local hidden hidden + + * Disable some options + local 0 , `suboptions' + syntax , [SAVEFPrefix(name)] [*] // Will ignore SAVEFPREFIX + local suboptions `options' + + * Convert -vceoption- to what -ivreg2- expects + local 0 `vceoption' + syntax namelist(max=3) , [bw(string) dkraay(string) kernel(string) kiefer] + gettoken vcetype transformed_clustervars : namelist + local transformed_clustervars `transformed_clustervars' // Trim + Assert inlist("`vcetype'", "unadjusted", "robust", "cluster") + local vceoption = cond("`vcetype'"=="unadjusted", "", "`vcetype'") + if ("`transformed_clustervars'"!="") local vceoption `vceoption'(`transformed_clustervars') + if ("`bw'"!="") local vceoption `vceoption' bw(`bw') + if ("`dkraay'"!="") local vceoption `vceoption' dkraay(`dkraay') + if ("`kernel'"!="") local vceoption `vceoption' kernel(`kernel') + if ("`kiefer'"!="") local vceoption `vceoption' kiefer + + mata: st_local("vars", strtrim(stritrim( "`depvar' `indepvars' (`endogvars'=`instruments')" )) ) + + local opt small nocons sdofminus(`kk') `vceoption' `suboptions' + if (`ffirst') local opt `opt' ffirst + if ("`estimator'"!="2sls") local opt `opt' `estimator' + + local subcmd ivreg2 `vars' `weightexp', `opt' + Debug, level(3) msg(_n "call to subcommand: " _n as result "`subcmd'") + qui `subcmd' + ereturn scalar tss = e(mss) + e(rss) // ivreg2 doesn't report e(tss) + ereturn scalar unclustered_df_r = e(N) - e(df_m) + + if ("`e(vce)'"=="robust cluster") ereturn local vce = "cluster" + + if !missing(e(ecollin)) { + di as error "endogenous covariate <`e(ecollin)'> was perfectly predicted by the instruments!" + error 2000 + } + + local cats depvar instd insts inexog exexog collin dups ecollin clist redlist /// + exexog1 inexog1 instd1 + foreach cat in `cats' { + FixVarnames `e(`cat')' + ereturn local `cat' = "`r(newnames)'" + } +end + +program define Wrapper_ivregress, eclass + syntax , depvar(varname) endogvars(varlist) instruments(varlist) /// + [indepvars(varlist)] /// + vceoption(string asis) /// + KK(integer) /// + [weightexp(string)] /// + [ESTimator(string) TWICErobust(integer 0)] /// + [SUBOPTions(string)] [*] // [*] are ignored! + + if ("`options'"!="") Debug, level(3) msg("(ignored options: `options')") + mata: st_local("vars", strtrim(stritrim( "`depvar' `indepvars' (`endogvars'=`instruments')" )) ) + if (`c(version)'>=12) local hidden hidden + + local opt_estimator = cond("`estimator'"=="gmm2s", "gmm", "`estimator'") + + * Convert -vceoption- to what -ivreg2- expects + local 0 `vceoption' + syntax namelist(max=2) + gettoken vceoption clustervars : namelist + local clustervars `clustervars' // Trim + Assert inlist("`vceoption'", "unadjusted", "robust", "cluster") + if ("`clustervars'"!="") local vceoption `vceoption' `clustervars' + local vceoption "vce(`vceoption')" + + if ("`estimator'"=="gmm2s") { + local wmatrix : subinstr local vceoption "vce(" "wmatrix(" + local vceoption = cond(`twicerobust', "", "vce(unadjusted)") + } + + * Note: the call to -ivregress- could be optimized. + * EG: -ivregress- calls ereturn post .. ESAMPLE(..) but we overwrite the esample and its SLOW + * But it's a 1700 line program so let's not worry about it + +* Subcmd + local subcmd ivregress `opt_estimator' `vars' `weightexp', `wmatrix' `vceoption' small noconstant `suboptions' + Debug, level(3) msg("Subcommand: " in ye "`subcmd'") + qui `subcmd' + qui test `indepvars' `endogvars' // Wald test + ereturn scalar F = r(F) + + + * Fix DoF if needed + local N = e(N) + local K = e(df_m) + local WrongDoF = `N' - `K' + local CorrectDoF = `WrongDoF' - `kk' + Assert !missing(`CorrectDoF') + + * We should have used M/M-1 instead of N/N-1, but we are making ivregress to do the wrong thing by using vce(unadjusted) (which makes it fit with ivreg2) + local q 1 + if ("`estimator'"=="gmm2s" & "`clustervars'"!="") { + local N = e(N) + tempvar group + GenerateID `clustervars', gen(`group') + su `group', mean + drop `group' + local M = r(max) // N_clust + local q = ( `M' / (`M' - 1)) / ( `N' / (`N' - 1) ) // multiply correct, divide prev wrong one + ereturn scalar df_r = `M' - 1 + } + + tempname V + matrix `V' = e(V) * (`WrongDoF' / `CorrectDoF') * `q' + ereturn repost V=`V' + + if ("`clustervars'"=="") ereturn scalar df_r = `CorrectDoF' + + * ereturns specific to this command + ereturn scalar F = e(F) * `CorrectDoF' / `WrongDoF' + + ereturn scalar tss = e(mss) + e(rss) // ivreg2 doesn't report e(tss) + ereturn `hidden' scalar unclustered_df_r = `CorrectDoF' // Used later in R2 adj +end + + +// ------------------------------------------------------------- +// Faster alternative to -egen group-. MVs, IF, etc not allowed! +// ------------------------------------------------------------- + +program define GenerateID, sortpreserve +syntax varlist(numeric) , [REPLACE Generate(name)] [CLUSTERVARS(namelist) NESTED] +assert ("`replace'"!="") + ("`generate'"!="") == 1 + + foreach var of varlist `varlist' { + assert !missing(`var') + } + + local numvars : word count `varlist' + if ("`replace'"!="") assert `numvars'==1 // Can't replace more than one var! + + // Create ID + tempvar new_id + sort `varlist' + by `varlist': gen long `new_id' = (_n==1) + qui replace `new_id' = sum(`new_id') + qui compress `new_id' + assert !missing(`new_id') + + local name = "i." + subinstr("`varlist'", " ", "#i.", .) + char `new_id'[name] `name' + la var `new_id' "[ID] `name'" + + // Could use these chars to speed up DropSingletons and Wrapper_mwc + *char `new_id'[obs] `c(N)' + *char `new_id'[id] 1 + + // Either replace or generate + if ("`replace'"!="") { + drop `varlist' + rename `new_id' `varlist' + local new_id `varlist' // I need to keep track of the variable for the clustervar part + } + else { + rename `new_id' `generate' + local new_id `generate' + } + + // See if var. is nested within a clustervar + local in_clustervar 0 + local is_clustervar 0 + + if ("`clustervars'"!="") { + + * Check if clustervar===ID + foreach clustervar of local clustervars { + if ("`new_id'"=="`clustervar'") { + local is_clustervar 1 + local nesting_clustervar "`clustervar'" + continue, break + } + } + + * Check if ID is nested within cluster ("if two obs. belong to the same ID, they belong to the same cluster") + if (!`is_clustervar' & "`nested'"!="") { + tempvar same + qui gen byte `same' = . + foreach clustervar of local clustervars { + + * Avoid check if clustervar is another absvar + * Reason: it would be stupid to have one absvar nested in another (same result as dropping nesting one) + local clustervar_is_absvar = regexm("`clustervar'","__FE[0-9]+__") + if (`clustervar_is_absvar') continue + + qui bys `new_id' (`clustervar'): replace `same' = (`clustervar'[1] == `clustervar'[_N]) + qui cou if (`same'==0) + if r(N)==0 { + local in_clustervar 1 + local nesting_clustervar "`clustervar'" + continue, break + } + } + } + } + + char `new_id'[is_clustervar] `is_clustervar' + char `new_id'[in_clustervar] `in_clustervar' + char `new_id'[nesting_clustervar] `nesting_clustervar' +end + +program define SaveFE + syntax, model(string) depvar(string) untransformed(string) subpredict(string) /// + has_intercept(integer) /// + [weightexp(string)] [drop_resid_vector(integer 1)] + + Debug, level(2) msg("(calculating fixed effects)") + tempvar resid + local score = cond("`model'"=="ols", "score", "resid") + Debug, level(3) msg(" - predicting resid (equation: y=xb+d+cons+resid)") + if e(df_m)>0 { + `subpredict' double `resid', `score' // equation: y = xb + d + e, we recovered "e" + } + else { + gen double `resid' = `depvar' + } + mata: store_resid(HDFE_S, "`resid'") + + Debug, level(3) msg(" - reloading untransformed dataset") + qui use "`untransformed'", clear + erase "`untransformed'" + mata: resid2dta(HDFE_S, 0, `drop_resid_vector') + + Debug, level(3) msg(" - predicting resid+d+cons (equation: y=xb+d+cons+resid)") + tempvar resid_d + if e(df_m)>0 { + `subpredict' double `resid_d', `score' // This is "d+e" (including constant) + } + else { + gen double `resid_d' = `depvar' + } + + Debug, level(3) msg(" - computing d = resid_d - mean(resid_d) - resid") + tempvar d + + * Computing mean(resid_d), the constant term (only if there is an intercept in absorb) + if (`has_intercept') { + local tmpweightexp = subinstr("`weightexp'", "[pweight=", "[aweight=", 1) + su `resid_d' `tmpweightexp', mean + gen double `d' = `resid_d' - r(mean) - `resid' + } + else { + gen double `d' = `resid_d' - `resid' + } + + drop `resid' `resid_d' + //clonevar dd = `d' + + Debug, level(3) msg(" - disaggregating d = z1 + z2 + ...") + mata: map_save_fe(HDFE_S, "`d'") + //regress dd __hdfe*, nocons + drop `d' +end + +program define Post, eclass + syntax, coefnames(string) /// + model(string) stage(string) stages(string) subcmd(string) cmdline(string) vceoption(string) original_absvars(string) extended_absvars(string) vcetype(string) vcesuite(string) tss(string) num_clusters(string) /// + has_intercept(integer) /// + [dofadjustments(string) clustervars(string) timevar(string) r2c(string) equation_d(string) subpredict(string) savestages(string) diopts(string) weightvar(string) dkraay(string) estimator(string) by(string) level(string)] /// + [backup_original_depvar(string) original_indepvars(string) original_endogvars(string) original_instruments(string)] + + if (`c(version)'>=12) local hidden hidden // ereturn hidden requires v12+ + + Assert e(tss)<., msg("within tss is missing") + Assert `tss'<., msg("overall tss is missing") + Assert e(N)<., msg("# obs. missing in e()") + + * Why is this here and not right after FixVarnames? + * Because of some Stata black magic, if I repost *before* the restore this will not work + ereturn repost b=`coefnames', rename + + if ("`weightvar'"!="") { + qui su `weightvar', mean + ereturn scalar sumweights = r(sum) + } + +* Absorbed-specific returns + * e(N_hdfe) e(N_hdfe_extended) e(mobility)==M e(df_a)==K-M + * e(M#) e(K#) e(M#_exact) e(M#_nested) -> for #=1/e(N_hdfe_extended) + mata: map_ereturn_dof(HDFE_S) + local N_hdfe = e(N_hdfe) + Assert e(df_r)<. , msg("e(df_r) is missing") + +* MAIN LOCALS + ereturn local cmd = "reghdfe" + ereturn local cmdline `"`cmdline'"' + ereturn local subcmd = cond(inlist("`stage'", "none", "iv"), "`subcmd'", "regress") + + ereturn local model = cond("`model'"=="iv" & "`estimator'"!="2sls", "`estimator'", "`model'") + Assert inlist("`e(model)'", "ols", "iv", "gmm2s", "cue", "liml"), msg("tried to save invalid model: `e(model)'") + + ereturn local dofadjustments = "`dofadjustments'" + ereturn local title = "HDFE " + e(title) + ereturn local title2 = "Absorbing `N_hdfe' HDFE " + plural(`N_hdfe', "group") + ereturn local predict = "reghdfe_old_p" + ereturn local estat_cmd = "reghdfe_old_estat" + ereturn local footnote = "reghdfe_old_footnote" + ereturn `hidden' local equation_d "`equation_d'" // The equation used to construct -d- (used to predict) + ereturn local absvars "`original_absvars'" + ereturn `hidden' local extended_absvars "`extended_absvars'" + + + ereturn `hidden' local diopts = "`diopts'" + ereturn `hidden' local subpredict = "`subpredict'" + +* CLUSTER AND VCE + + ereturn local vcesuite = "`vcesuite'" + if ("`e(subcmd)'"=="ivreg2") local vcesuite = "avar" // This is what ivreg2 uses + if ("`e(subcmd)'"=="ivregress") local vcesuite = "default" + + * Replace __CL#__ and __ID#__ from cluster subtitles + + if ("`e(clustvar)'"!="") { + if ("`e(subcmd)'"=="ivreg2") local subtitle = "`e(hacsubtitleV)'" + if (`num_clusters'>1) { + local rest `clustervars' + forval i = 1/`num_clusters' { + gettoken token rest : rest + if ("`e(subcmd)'"=="ivreg2" & strpos("`e(clustvar`i')'", "__")==1) { + local subtitle = subinstr("`subtitle'", "`e(clustvar`i')'", "`token'", 1) + } + ereturn local clustvar`i' `token' + } + } + else { + local subtitle = subinstr("`subtitle'", "`e(clustvar)'", "`clustervars'", 1) + } + ereturn scalar N_clustervars = `num_clusters' + ereturn local clustvar `clustervars' + if ("`e(subcmd)'"=="ivreg2") ereturn local hacsubtitleV = "`subtitle'" + } + if (`dkraay'>1) { + ereturn local clustvar `timevar' + ereturn scalar N_clustervars = 1 + } + + + * Stata uses e(vcetype) for the SE column headers + * In the default option, leave it empty. + * In the cluster and robust options, set it as "Robust" + ereturn local vcetype = proper("`vcetype'") // + if (e(vcetype)=="Cluster") ereturn local vcetype = "Robust" + if (e(vcetype)=="Unadjusted") ereturn local vcetype + if ("`e(vce)'"=="." | "`e(vce)'"=="") ereturn local vce = "`vcetype'" // +-+- + Assert inlist("`e(vcetype)'", "", "Robust", "Jackknife", "Bootstrap") + +* STAGE + if ("`stage'"!="none") ereturn local iv_depvar = "`backup_original_depvar'" + +* VARLISTS + * Besides each cmd's naming style (e.g. exogr, exexog, etc.) keep one common one + foreach cat in indepvars endogvars instruments { + if ("`original_`cat''"=="") continue + ereturn local `cat' "`original_`cat''" + } + +* MAIN NUMERICS + ereturn `hidden' scalar tss_within = e(tss) + ereturn scalar tss = `tss' + ereturn scalar mss = e(tss) - e(rss) + ereturn scalar ll = -0.5 * (e(N)*ln(2*_pi) + e(N)*ln(e(rss) /e(N)) + e(N)) + ereturn scalar ll_0 = -0.5 * (e(N)*ln(2*_pi) + e(N)*ln(e(tss_within)/e(N)) + e(N)) + ereturn scalar r2 = 1 - e(rss) / e(tss) + ereturn scalar r2_within = 1 - e(rss) / e(tss_within) + + * ivreg2 uses e(r2c) and e(r2u) for centered/uncetered R2; overwrite first and discard second + if (e(r2c)!=.) { + ereturn scalar r2c = e(r2) + ereturn scalar r2u = . + } + + * Computing Adj R2 with clustered SEs is tricky because it doesn't use the adjusted inputs: + * 1) It uses N instead of N_clust + * 2) For the DoFs, it uses N - Parameters instead of N_clust-1 + * 3) Further, to compute the parameters, it includes those nested within clusters + + * Note that this adjustment is NOT PERFECT because we won't compute the mobility groups just for improving the r2a + * (when a FE is nested within a cluster, we don't need to compute mobilty groups; but to get the same R2a as other estimators we may want to do it) + * Instead, you can set by hand the dof() argument and remove -cluster- from the list + + if ("`model'"=="ols" & `num_clusters'>0) Assert e(unclustered_df_r)<., msg("wtf-`vcesuite'") + local used_df_r = cond(e(unclustered_df_r)<., e(unclustered_df_r), e(df_r)) - e(M_due_to_nested) + ereturn scalar r2_a = 1 - (e(rss)/`used_df_r') / ( e(tss) / (e(N)-`has_intercept') ) + ereturn scalar rmse = sqrt( e(rss) / `used_df_r' ) + ereturn scalar r2_a_within = 1 - (e(rss)/`used_df_r') / ( e(tss_within) / (`used_df_r'+e(df_m)) ) + + if (e(N_clust)<.) Assert e(df_r) == e(N_clust) - 1, msg("Error, `wrapper' should have made sure that N_clust-1==df_r") + *if (e(N_clust)<.) ereturn scalar df_r = e(N_clust) - 1 + + if ("`model'"=="ols" & inlist("`vcetype'", "unadjusted", "ols")) { + // -1 b/c we exclude constant for this + ereturn scalar F_absorb = (e(r2)-`r2c') / (1-e(r2)) * e(df_r) / (e(df_a)-1) + + //if (`nested') { + // local rss`N_hdfe' = e(rss) + // local temp_dof = e(N) - e(df_m) // What if there are absorbed collinear with the other RHS vars? + // local j 0 + // ereturn `hidden' scalar rss0 = `rss0' + // forv g=1/`N_hdfe' { + // local temp_dof = `temp_dof' - e(K`g') + e(M`g') + // *di in red "g=`g' RSS=`rss`g'' and was `rss`j''. dof=`temp_dof'" + // ereturn `hidden' scalar rss`g' = `rss`g'' + // ereturn `hidden' scalar df_a`g' = e(K`g') - e(M`g') + // local df_a_g = e(df_a`g') - (`g'==1) + // ereturn scalar F_absorb`g' = (`rss`j''-`rss`g'') / `rss`g'' * `temp_dof' / `df_a_g' + // ereturn `hidden' scalar df_r`g' = `temp_dof' + // local j `g' + // } + //} + } + + if ("`savestages'"!="") ereturn `hidden' scalar savestages = `savestages' + + * We have to replace -unadjusted- or else subsequent calls to -suest- will fail + Subtitle `vceoption' // will set title2, etc. Run after e(bw) and all the others are set! + if (e(vce)=="unadjusted") ereturn local vce = "ols" + + if ("`stages'"!="none") { + ereturn local stage = "`stage'" + ereturn `hidden' local stages = "`stages'" + } + + * List of stored estimates + if ("`e(savestages)'"=="1" & "`e(model)'"=="iv") { + local stages = "`e(stages)'" + local endogvars "`e(endogvars)'" + foreach stage of local stages { + if ("`stage'"=="first") { + local i 0 + foreach endogvar of local endogvars { + local stored_estimates `stored_estimates' reghdfe_`stage'`++i' + } + } + else if ("`stage'"!="iv"){ + local stored_estimates `stored_estimates' reghdfe_`stage' + } + } + + } + + * Add e(first) (first stage STATISTICS, from ffirst option) to each first stage + * For that we require 3 things: ffirst, that we save stages, and that first is in the stage list + cap conf matrix e(first) + if (c(rc)==0 & "`e(savestages)'"=="1" & strpos("`e(stages)'", "first")) { + tempname firststats hold + matrix `firststats' = e(first) + local rownames : rownames `firststats' + local colnames : colnames `firststats' + local endogvars "`e(endogvars)'" + + estimates store `hold' + local i 0 + ereturn clear + foreach endogvar of local endogvars { + local est reghdfe_first`++i' + qui estimates restore `est' + gettoken colname colnames : colnames + Assert "`endogvar'"=="`colname'", msg("expected `endogvar'==`colname' from e(first)") + Assert "`endogvar'"=="`e(depvar)'", msg("expected `endogvar'==`e(depvar)' from e(depvar)") + + local j 0 + foreach stat of local rownames { + Assert "`e(first_`stat')'"=="", msg("expected e(first_`stat') to be empty") + ereturn scalar first_`stat' = `firststats'[`++j', `i'] + } + estimates store `est', nocopy + } + ereturn clear // Need this because -estimates restore- behaves oddly + qui estimates restore `hold' + assert e(cmd)=="reghdfe" + estimates drop `hold' + } + + ereturn local stored_estimates "`stored_estimates'" + + if ("`e(model)'"=="iv") { + if ("`e(stage)'"=="first") estimates title: First-stage regression: `e(depvar)' + if ("`e(stage)'"=="ols") estimates title: OLS regression + if ("`e(stage)'"=="reduced") estimates title: Reduced-form regression + if ("`e(stage)'"=="acid") estimates title: Acid regression + } +end + + +//------------------------------------------------------------------------------ +// Name tempvars into e.g. L.x i1.y i2.y AvgE:z , etc. +//------------------------------------------------------------------------------ + +program define FixVarnames, rclass +local vars `0' + + foreach var of local vars { + * Note: -var- can be + _ms_parse_parts `var' + local is_omitted = r(omit) + local name = r(name) + + local is_temp = substr("`name'",1,2)=="__" + local newname : char `name'[name] + *local label : var label `basevar' + + * Stata requires all parts of an omitted interaction to have an o. + if (`is_omitted' & `is_temp') { + while regexm("`newname'", "^(.*[^bo])\.(.*)$") { + local newname = regexs(1) + "o." + regexs(2) + } + } + else if (`is_omitted') { + local newname "o.`name'" // same as initial `var'! + } + + Assert ("`newname'"!=""), msg("var=<`var'> --> new=<`newname'>") + local newnames `newnames' `newname' + } + + local A : word count `vars' + local B : word count `newnames' + Assert `A'==`B', msg("`A' vars but `B' newnames") + return local newnames "`newnames'" +end + +program define Subtitle, eclass + * Fill e(title3/4/5) based on the info of the other e(..) + + if (inlist("`e(vcetype)'", "Robust", "Cluster")) local hacsubtitle1 "heteroskedasticity" + if ("`e(kernel)'"!="" & "`e(clustvar)'"=="") local hacsubtitle3 "autocorrelation" + if ("`e(kiefer)'"!="") local hacsubtitle3 "within-cluster autocorrelation (Kiefer)" + if ("`hacsubtitle1'"!="" & "`hacsubtitle3'" != "") local hacsubtitle2 " and " + local hacsubtitle "`hacsubtitle1'`hacsubtitle2'`hacsubtitle3'" + if strlen("`hacsubtitle'")>30 { + local hacsubtitle : subinstr local hacsubtitle "heteroskedasticity" "heterosk.", all word + local hacsubtitle : subinstr local hacsubtitle "autocorrelation" "autocorr.", all word + } + if ("`hacsubtitle'"!="") { + ereturn local title3 = "Statistics robust to `hacsubtitle'" + + if ("`e(kernel)'"!="") local notes " `notes' kernel=`e(kernel)'" + if ("`e(bw)'"!="") local notes " `notes' bw=`e(bw)'" + if ("`e(dkraay)'"!="") local notes " `notes' dkraay=`e(dkraay)'" + local notes `notes' // remove initial space + if ("`notes'"!="") ereturn local title4 = " (`notes')" + if ("`notes'"!="") { + if ("`_dta[_TSpanel]'"!="") local tsset panel=`_dta[_TSpanel]' + if ("`_dta[_TStvar]'"!="") local tsset `tsset' time=`_dta[_TStvar]' + local tsset `tsset' + ereturn local title5 = " (`tsset')" + } + } +end + +program define Attach, eclass + syntax, [NOTES(string)] [statsmatrix(string)] summarize_quietly(integer) + + * Summarize + * This needs to happen after all the missing obs. have been dropped and the only obs. are those that *WILL* be in the regression + if ("`statsmatrix'"!="") { + * Update beta vector + * ... + + ereturn matrix summarize = `statsmatrix', copy // If we move instead of copy, stages() will fail + if (!`summarize_quietly' & "`statsmatrix'"!="") { + di as text _n "{sf:Regression Summary Statistics:}" _c + matlist e(summarize)', border(top bottom) twidth(18) rowtitle(Variable) + } + } + + * Parse key=value options and append to ereturn as hidden + mata: st_local("notes", strtrim(`"`notes'"')) // trim (supports large strings) + local keys + while (`"`notes'"'!="") { + gettoken key notes : notes, parse(" =") + Assert !inlist("`key'","sample","time"), msg("Key cannot be -sample- or -time-") // Else -estimates- will fail + gettoken _ notes : notes, parse("=") + gettoken value notes : notes, quotes + local keys `keys' `key' + ereturn hidden local `key' `value' + } + if ("`keys'"!="") ereturn hidden local keys `keys' + +end + + +// ------------------------------------------------------------- +// Display Regression Table +// ------------------------------------------------------------- + + program define Replay, eclass + syntax , [stored] [*] + Assert e(cmd)=="reghdfe" + local subcmd = e(subcmd) + Assert "`subcmd'"!="" , msg("e(subcmd) is empty") + if (`c(version)'>=12) local hidden hidden + + if ("`stored'"!="" & "`e(stored_estimates)'"!="" & "`e(stage)'"=="iv") { + local est_list "`e(stored_estimates)'" + tempname hold + estimates store `hold' + foreach est of local est_list { + cap estimates restore `est' + if (!c(rc)) Replay + } + ereturn clear // Need this because -estimates restore- behaves oddly + qui estimates restore `hold' + assert e(cmd)=="reghdfe" + estimates drop `hold' + } + + if ("`e(stage)'"=="first") local first_depvar " - `e(depvar)'" + if ("`e(stage)'"!="") di as text _n "{inp}{title:Stage: `e(stage)'`first_depvar'}" + + local diopts = "`e(diopts)'" + if ("`options'"!="") { // Override + _get_diopts diopts /* options */, `options' + } + + if ("`subcmd'"=="ivregress") { + * Don't want to display anova table or footnote + _coef_table_header + _coef_table, `diopts' + } + else if ("`subcmd'"=="ivreg2") { + cap conf matrix e(first) + if (c(rc)==0) local ffirst ffirst + ereturn local cmd = "`subcmd'" + `subcmd' , `diopts' `ffirst' + ereturn local cmd = "reghdfe" + } + else { + + * Regress-specific code, because it doesn't play nice with ereturn + sreturn clear + + if "`e(prefix)'" != "" { + _prefix_display, `diopts' + exit + } + + Header // _coef_table_header + + di + local plus = cond("`e(model)'"=="ols" & inlist("`e(vce)'", "unadjusted", "ols"), "plus", "") + _coef_table, `plus' `diopts' + } + reghdfe_old_footnote +end + + +* (Modified from _coef_table_header.ado) + +program define Header + if !c(noisily) exit + + tempname left right + .`left' = {} + .`right' = {} + + local width 78 + local colwidths 1 30 51 67 + local i 0 + foreach c of local colwidths { + local ++i + local c`i' `c' + local C`i' _col(`c') + } + + local c2wfmt 10 + local c4wfmt 10 + local max_len_title = `c3' - 2 + local c4wfmt1 = `c4wfmt' + 1 + local title `"`e(title)'"' + local title2 `"`e(title2)'"' + local title3 `"`e(title3)'"' + local title4 `"`e(title4)'"' + local title5 `"`e(title5)'"' + + // Right hand header ************************************************ + + *N obs + .`right'.Arrpush `C3' "Number of obs" `C4' "= " as res %`c4wfmt'.0fc e(N) + + * Ftest + if `"`e(chi2)'"' != "" | "`e(df_r)'" == "" { + Chi2test `right' `C3' `C4' `c4wfmt' + } + else { + Ftest `right' `C3' `C4' `c4wfmt' + } + + * display R-squared + if !missing(e(r2)) { + .`right'.Arrpush `C3' "R-squared" `C4' "= " as res %`c4wfmt'.4f e(r2) + } + *if !missing(e(r2_p)) { + * .`right'.Arrpush `C3' "Pseudo R2" `C4' "= " as res %`c4wfmt'.4f e(r2_p) + *} + if !missing(e(r2_a)) { + .`right'.Arrpush `C3' "Adj R-squared" `C4' "= " as res %`c4wfmt'.4f e(r2_a) + } + if !missing(e(r2_within)) { + .`right'.Arrpush `C3' "Within R-sq." `C4' "= " as res %`c4wfmt'.4f e(r2_within) + } + if !missing(e(rmse)) { + .`right'.Arrpush `C3' "Root MSE" `C4' "= " as res %`c4wfmt'.4f e(rmse) + } + + // Left hand header ************************************************* + + * make title line part of the header if it fits + local len_title : length local title + forv i=2/5 { + if (`"`title`i''"'!="") { + local len_title = max(`len_title',`:length local title`i'') + } + } + + if `len_title' < `max_len_title' { + .`left'.Arrpush `"`"`title'"'"' + local title + forv i=2/5 { + if `"`title`i''"' != "" { + .`left'.Arrpush `"`"`title`i''"'"' + local title`i' + } + } + .`left'.Arrpush "" // Empty + } + + * Clusters + local kr = `.`right'.arrnels' // number of elements in the right header + local kl = `.`left'.arrnels' // number of elements in the left header + local N_clustervars = e(N_clustervars) + if (`N_clustervars'==.) local N_clustervars 0 + local space = `kr' - `kl' - `N_clustervars' + local clustvar = e(clustvar) + forv i=1/`space' { + .`left'.Arrpush "" + } + forval i = 1/`N_clustervars' { + gettoken cluster clustvar : clustvar + local num = e(N_clust`i') + .`left'.Arrpush `C1' "Number of clusters (" as res "`cluster'" as text ") " `C2' as text "= " as res %`c2wfmt'.0fc `num' + } + + HeaderDisplay `left' `right' `"`title'"' `"`title2'"' `"`title3'"' `"`title4'"' `"`title5'"' +end + +program define HeaderDisplay + args left right title1 title2 title3 title4 title5 + + local nl = `.`left'.arrnels' + local nr = `.`right'.arrnels' + local K = max(`nl',`nr') + + di + if `"`title1'"' != "" { + di as txt `"`title'"' + forval i = 2/5 { + if `"`title`i''"' != "" { + di as txt `"`title`i''"' + } + } + if `K' { + di + } + } + + local c _c + forval i = 1/`K' { + di as txt `.`left'[`i']' as txt `.`right'[`i']' + } +end + +program define Ftest + args right C3 C4 c4wfmt is_svy + + local df = e(df_r) + if !missing(e(F)) { + .`right'.Arrpush /// + `C3' "F(" /// + as res %4.0f e(df_m) /// + as txt "," /// + as res %7.0f `df' as txt ")" `C4' "= " /// + as res %`c4wfmt'.2f e(F) + .`right'.Arrpush /// + `C3' "Prob > F" `C4' "= " /// + as res %`c4wfmt'.4f Ftail(e(df_m),`df',e(F)) + } + else { + local dfm_l : di %4.0f e(df_m) + local dfm_l2: di %7.0f `df' + local j_robust "{help j_robustsingular##|_new:F(`dfm_l',`dfm_l2')}" + .`right'.Arrpush /// + `C3' "`j_robust'" /// + as txt `C4' "= " as result %`c4wfmt's "." + .`right'.Arrpush /// + `C3' "Prob > F" `C4' "= " as res %`c4wfmt's "." + } +end + +program define Chi2test + + args right C3 C4 c4wfmt + + local type `e(chi2type)' + if `"`type'"' == "" { + local type Wald + } + if !missing(e(chi2)) { + .`right'.Arrpush /// + `C3' "`type' chi2(" /// + as res e(df_m) /// + as txt ")" `C4' "= " /// + as res %`c4wfmt'.2f e(chi2) + .`right'.Arrpush /// + `C3' "Prob > chi2" `C4' "= " /// + as res %`c4wfmt'.4f chi2tail(e(df_m),e(chi2)) + } + else { + local j_robust /// + "{help j_robustsingular##|_new:`type' chi2(`e(df_m)')}" + .`right'.Arrpush /// + `C3' "`j_robust'" /// + as txt `C4' "= " as res %`c4wfmt's "." + .`right'.Arrpush /// + `C3' "Prob > chi2" `C4' "= " /// + as res %`c4wfmt's "." + } +end + +program define InnerSaveCache, eclass +* (note: based on Inner.ado) + +* INITIAL CLEANUP + ereturn clear // Clear previous results and drops e(sample) + +* PARSE - inject opts with c_local, create Mata structure HDFE_S (use verbose>2 for details) + Parse `0' + assert `savecache' + Assert !`will_save_fe', msg("savecache disallows saving FEs") + +* PROBLEM: + * I can translate L(1/2).x into __L__x __L2__x + * But how can I translate i.x if I don't have the original anymore? + +* SOLUTION + * The cache option of ExpandFactorVariables (called from Compact.ado) + +* COMPACT - Expand time and factor variables, and drop unused variables and obs. + Compact, basevars(`basevars') depvar(`depvar' `indepvars') uid(`uid') timevar(`timevar') panelvar(`panelvar') weightvar(`weightvar') weighttype(`weighttype') /// + absorb_keepvars(`absorb_keepvars') clustervars(`clustervars') /// + if(`if') in(`in') verbose(`verbose') vceextra(`vceextra') savecache(1) more_keepvars(`keepvars') + // Injects locals: depvar indepvars endogvars instruments expandedvars cachevars + +* PRECOMPUTE MATA OBJECTS (means, counts, etc.) + mata: map_init_keepvars(HDFE_S, "`expandedvars' `uid' `cachevars' `keepvars'") // Non-essential vars will be deleted (e.g. interactions of a clustervar) + mata: map_precompute(HDFE_S) + global updated_clustervars = "`r(updated_clustervars)'" + +* PREPARE - Compute untransformed tss *OF ALL THE VARIABLES* + mata: tss_cache = asarray_create() + mata: asarray_notfound(tss_cache, .) + local tmpweightexp = subinstr("`weightexp'", "[pweight=", "[aweight=", 1) + foreach var of local expandedvars { + qui su `var' `tmpweightexp' // BUGBUG: Is this correct?! + local tss = r(Var)*(r(N)-1) + if (!`has_intercept') local tss = `tss' + r(sum)^2 / (r(N)) + mata: asarray(tss_cache, "`var'", "`tss'") + } + *NOTE: r2c is too slow and thus won't be saved + *ALTERNATIVE: Allow a varlist of the form (depvars) (indepvars) and only compute for those + +* COMPUTE e(stats) - Summary statistics for the all the regression variables + if ("`stats'"!="") { + Stats `expandedvars', weightexp(`weightexp') stats(`stats') statsmatrix(reghdfe_statsmatrix) + } + +* COMPUTE DOF + if (`timeit') Tic, n(62) + mata: map_estimate_dof(HDFE_S, "`dofadjustments'", "`groupvar'") // requires the IDs + if (`timeit') Toc, n(62) msg(estimate dof) + assert e(df_a)<. // estimate_dof() only sets e(df_a); map_ereturn_dof() is for setting everything aferwards + local kk = e(df_a) // we need this for the regression step + +* MAP_SOLVE() - WITHIN TRANFORMATION (note: overwrites variables) + qui ds `expandedvars' + local NUM_VARS : word count `r(varlist)' + Debug, msg("(computing residuals for `NUM_VARS' variables)") + mata: map_solve(HDFE_S, "`expandedvars'") + +* This was in -parse- but we are dropping observations through the code + char _dta[cache_obs] `c(N)' + +end + +program define InnerUseCache, eclass + +* INITIAL CLEANUP + ereturn clear // Clear previous results and drops e(sample) + cap estimates drop reghdfe_* + +* PARSE - inject opts with c_local, create Mata structure HDFE_S (use verbose>2 for details) + Parse `0' + assert `usecache' + if (`timeit') Tic, n(50) + + foreach cat in depvar indepvars endogvars instruments { + local original_`cat' "``cat''" + } + +* Match "L.price" --> __L__price +* Expand factor and time-series variables +* (based on part of Compact.ado) + if (`timeit') Tic, n(52) + local expandedvars + local sets depvar indepvars endogvars instruments // depvar MUST be first + Debug, level(4) newline + Debug, level(4) msg("{title:Expanding factor and time-series variables:}") + foreach set of local sets { + local varlist ``set'' + local `set' // empty + if ("`varlist'"=="") continue + fvunab factors : `varlist', name("error parsing `set'") + foreach factor of local factors { + mata: st_local("var", asarray(varlist_cache, "`factor'")) + Assert "`var'"!="", msg("couldn't find the match of {res}`factor'{error} in the cache (details: set=`set'; factors=`factors')") + local `set' ``set'' `var' + } + local expandedvars `expandedvars' ``set'' + } + if (`timeit') Toc, n(52) msg(fix names) + +* Replace vceoption with the correct cluster names (e.g. if it's a FE or a new variable) + if (`num_clusters'>0) { + assert "$updated_clustervars"!="" + local vceoption : subinstr local vceoption "" "$updated_clustervars" + } + +* PREPARE - Compute untransformed tss, R2 of eqn w/out FEs + if (`timeit') Tic, n(54) + mata: st_local("tss", asarray(tss_cache, "`depvar'")) + Assert `tss'<., msg("tss of depvar `depvar' not found in cache") + foreach var of local endogvars { + mata: st_local("tss_`var'", asarray(tss_cache, "`var'")) + } + local r2c = . // BUGBUG!!! + if (`timeit') Toc, n(54) msg(use cached tss) + + * COMPUTE DOF - Already precomputed in InnerSaveCache.ado + if (`timeit') Tic, n(62) + mata: map_ereturn_dof(HDFE_S) // this gives us e(df_a)==`kk', which we need + assert e(df_a)<. + local kk = e(df_a) // we need this for the regression step + if (`timeit') Toc, n(62) msg(load dof estimates) + +* STAGES SETUP - Deal with different stages + assert "`stages'"!="" + if ("`stages'"!="none") { + Debug, level(1) msg(_n "{title:Stages to run}: " as result "`stages'") + * Need to backup some locals + local backuplist residuals groupvar fast will_save_fe depvar indepvars endogvars instruments original_depvar tss suboptions + foreach loc of local backuplist { + local backup_`loc' ``loc'' + } + + local num_stages : word count `stages' + local last_stage : word `num_stages' of `stages' + assert "`last_stage'"=="iv" + } + +* STAGES LOOPS +foreach stage of local stages { +Assert inlist("`stage'", "none", "iv", "first", "ols", "reduced", "acid") +if ("`stage'"=="first") { + local lhs_endogvars "`backup_endogvars'" + local i_endogvar 0 +} +else { + local lhs_endogvars "" + local i_endogvar +} + +foreach lhs_endogvar of local lhs_endogvars { + + if ("`stage'"!="none") { + * Start with backup values + foreach loc of local backuplist { + local `loc' `backup_`loc'' + } + + if ("`stage'"=="ols") { + local indepvars `endogvars' `indepvars' + } + else if ("`stage'"=="reduced") { + local indepvars `instruments' `indepvars' + } + else if ("`stage'"=="acid") { + local indepvars `endogvars' `instruments' `indepvars' + } + else if ("`stage'"=="first") { + local ++i_endogvar + local tss = `tss_`lhs_endogvar'' + assert `tss'<. + local depvar `lhs_endogvar' + local indepvars `instruments' `indepvars' + local original_depvar : char `depvar'[name] + } + + if ("`stage'"!="iv") { + local fast 1 + local will_save_fe 0 + local endogvars + local instruments + local groupvar + local residuals + local suboptions `stage_suboptions' + } + } + +* REGRESS - Call appropiate wrapper (regress, avar, mwc for ols; ivreg2, ivregress for iv) + ereturn clear + if ("`stage'"=="none") Debug, level(2) msg("(running regresion: `model'.`ivsuite')") + local wrapper "Wrapper_`subcmd'" // regress ivreg2 ivregress + if ("`subcmd'"=="regress" & "`vcesuite'"=="avar") local wrapper "Wrapper_avar" + if ("`subcmd'"=="regress" & "`vcesuite'"=="mwc") local wrapper "Wrapper_mwc" + if (!inlist("`stage'","none", "iv")) { + if ("`vcesuite'"=="default") local wrapper Wrapper_regress + if ("`vcesuite'"!="default") local wrapper Wrapper_`vcesuite' + } + local opt_list + local opts /// cond // BUGUBG: Add by() (cond) options + depvar indepvars endogvars instruments /// + vceoption vcetype /// + kk suboptions ffirst weightexp /// + estimator twicerobust /// Whether to run or not two-step gmm + num_clusters clustervars // Used to fix e() of ivreg2 first stages + foreach opt of local opts { + local opt_list `opt_list' `opt'(``opt'') + } + Debug, level(3) msg(_n "call to wrapper:" _n as result "`wrapper', `opt_list'") + if (`timeit') Tic, n(66) + `wrapper', `opt_list' + if (`timeit') Toc, n(66) msg(regression) + +* COMPUTE AND STORE RESIDS (based on SaveFE.ado) + local drop_resid_vector + if ("`residuals'"!="") { + local drop_resid_vector drop_resid_vector(0) + local subpredict = e(predict) + local score = cond("`model'"=="ols", "score", "resid") + if e(df_m)>0 { + `subpredict' double `residuals', `score' // equation: y = xb + d + e, we recovered "e" + } + else { + gen double `residuals' = `depvar' + } + // No need to store in Mata + } + +* (optional) Save mobility groups (note: group vector will stay on HDFE_S) + if ("`groupvar'"!="") mata: groupvar2dta(HDFE_S, 0) + +* FIX VARNAMES - Replace tempnames in the coefs table (run AFTER regress) + * (e.g. __00001 -> L.somevar) + if (`timeit') Tic, n(68) + tempname b + matrix `b' = e(b) + local backup_colnames : colnames `b' + FixVarnames `backup_colnames' + local newnames "`r(newnames)'" + matrix colnames `b' = `newnames' + ereturn local depvar = "`original_depvar'" // Run after SaveFE + if (`timeit') Toc, n(68) msg(fix varnames) + +* POST ERETURN - Add e(...) (besides e(sample) and those added by the wrappers) + local opt_list + local opts dofadjustments subpredict model stage stages subcmd cmdline vceoption equation_d original_absvars extended_absvars vcetype vcesuite tss r2c savestages diopts weightvar estimator dkraay by level num_clusters clustervars timevar backup_original_depvar original_indepvars original_endogvars original_instruments has_intercept + foreach opt of local opts { + local opt_list `opt_list' `opt'(``opt'') + } + if (`timeit') Tic, n(69) + Post, `opt_list' coefnames(`b') + if (`timeit') Toc, n(69) msg(Post) + +* REPLAY - Show the regression table + Replay + +* ATTACH - Add e(stats) and e(notes) + if ("`stats'"!="") { + if (`timeit') Tic, n(71) + tempname statsmatrix + Stats `expandedvars', weightexp(`weightexp') stats(`stats') statsmatrix(`statsmatrix') usecache + // stats() will be ignored + if (`timeit') Toc, n(71) msg(Stats.ado) + } + if (`timeit') Tic, n(72) + Attach, notes(`notes') statsmatrix(`statsmatrix') summarize_quietly(`summarize_quietly') // Attach only once, not per stage + if (`timeit') Toc, n(72) msg(Attach.ado) + +* Store stage result + if (!inlist("`stage'","none", "iv") & `savestages') estimates store reghdfe_`stage'`i_endogvar', nocopy + +} // lhs_endogvar +} // stage + + if (`timeit') Toc, n(50) msg([TOTAL]) +end + +// ------------------------------------------------------------------------------------------------- diff --git a/30/replication_package/Adofiles/reghdfe_2019/reghdfe_old.sthlp b/30/replication_package/Adofiles/reghdfe_2019/reghdfe_old.sthlp new file mode 100644 index 0000000000000000000000000000000000000000..3f35764c41913fa87b584a14147a2f9a52b7ff94 --- /dev/null +++ b/30/replication_package/Adofiles/reghdfe_2019/reghdfe_old.sthlp @@ -0,0 +1,872 @@ +{smcl} +{* *! version 3.2.9 21feb2016}{...} +{vieweralsosee "[R] areg" "help areg"}{...} +{vieweralsosee "[R] xtreg" "help xtreg"}{...} +{vieweralsosee "[R] ivregress" "help ivregress"}{...} +{vieweralsosee "" "--"}{...} +{vieweralsosee "ivreg2" "help ivreg2"}{...} +{vieweralsosee "ivregress" "help ivregress"}{...} +{vieweralsosee "reg2hdfe" "help reg2hdfe"}{...} +{vieweralsosee "a2reg" "help a2reg"}{...} +{viewerjumpto "Syntax" "reghdfe##syntax"}{...} +{viewerjumpto "Description" "reghdfe##description"}{...} +{viewerjumpto "Options" "reghdfe##options"}{...} +{viewerjumpto "Postestimation Syntax" "reghdfe##postestimation"}{...} +{viewerjumpto "Remarks" "reghdfe##remarks"}{...} +{viewerjumpto "Examples" "reghdfe##examples"}{...} +{viewerjumpto "Stored results" "reghdfe##results"}{...} +{viewerjumpto "Author" "reghdfe##contact"}{...} +{viewerjumpto "Updates" "reghdfe##updates"}{...} +{viewerjumpto "Acknowledgements" "reghdfe##acknowledgements"}{...} +{viewerjumpto "References" "reghdfe##references"}{...} +{title:Title} + +{p2colset 5 18 20 2}{...} +{p2col :{cmd:reghdfe} {hline 2}}Linear and instrumental-variable/GMM regression absorbing multiple levels of fixed effects{p_end} +{p2colreset}{...} + +{marker syntax}{...} +{title:Syntax} + +{p 8 15 2} {cmd:reghdfe} +{depvar} [{indepvars}] [{cmd:(}{it:{help varlist:endogvars}} {cmd:=} {it:{help varlist:iv_vars}}{cmd:)}] +{ifin} {it:{weight}} {cmd:,} {opth a:bsorb(reghdfe##absvar:absvars)} [{help reghdfe##options:options}] {p_end} + +{marker opt_summary}{...} +{synoptset 22 tabbed}{...} +{synopthdr} +{synoptline} +{syntab:Model {help reghdfe##opt_model:[+]}} +{p2coldent:* {opth a:bsorb(reghdfe##absvar:absvars)}}identifiers of the absorbed fixed effects; each {help reghdfe##absvar:absvar} represents one set of fixed effects{p_end} +{synopt: {cmdab:a:bsorb(}{it:...}{cmd:,} {cmdab:save:fe)}}save all fixed effect estimates ({it:__hdfe*} prefix); useful for a subsequent {help reghdfe##postestimation:predict}. +However, see also the {it:resid} option.{p_end} +{synopt : {opth res:iduals(newvar)}}save residuals; more direct and much faster than saving the fixed effects and then running predict{p_end} +{synopt :{opth su:mmarize(tabstat##statname:stats)}}equivalent to {help reghdfe##postestimation:estat summarize} after the regression, +but more flexible, compatible with the {opt fast:} option, and saves results on {it:e(summarize)}{p_end} +{synopt : {opt subopt:ions(...)}}additional options that will be passed to the regression command (either {help regress}, {help ivreg2}, or {help ivregress}){p_end} + +{syntab:SE/Robust {help reghdfe##opt_vce:[+]}} +{p2coldent:+ {opt vce}{cmd:(}{help reghdfe##opt_vce:vcetype} [{cmd:,}{it:opt}]{cmd:)}}{it:vcetype} +may be {opt un:adjusted} (default), {opt r:obust} or {opt cl:uster} {help fvvarlist} (allowing two- and multi-way clustering){p_end} +{synopt :}suboptions {opt bw(#)}, {opt ker:nel(str)}, {opt dkraay(#)} and {opt kiefer} allow for AC/HAC estimates; see the {help avar} package{p_end} + +{syntab:Instrumental-Variable/2SLS/GMM {help reghdfe##opt_iv:[+]}} +{synopt :{opt est:imator(str)}}either {opt 2sls} (default), {opt gmm:2s} (two-stage GMM), +{opt liml} (limited-information maximum likelihood) or {opt cue} (which gives approximate results, see discussion below){p_end} +{synopt :{opt stage:s(list)}}estimate additional regressions; choose any of {opt first} {opt ols} {opt reduced} {opt acid} (or {opt all}){p_end} +{synopt :{opt ff:irst}}compute first-stage diagnostic and identification statistics{p_end} +{synopt :{opth iv:suite(subcmd)}}package used in the IV/GMM regressions; +options are {opt ivreg2} (default; needs installing) and {opt ivregress}{p_end} + +{syntab:Diagnostic {help reghdfe##opt_diagnostic:[+]}} +{synopt :{opt v:erbose(#)}}amount of debugging information to show (0=None, 1=Some, 2=More, 3=Parsing/convergence details, 4=Every iteration){p_end} +{synopt :{opt time:it}}show elapsed times by stage of computation{p_end} + +{syntab:Optimization {help reghdfe##opt_optimization:[+]}} +{p2coldent:+ {opth tol:erance(#)}}criterion for convergence (default=1e-8){p_end} +{synopt :{opth maxit:erations(#)}}maximum number of iterations (default=10,000); if set to missing ({cmd:.}) it will run for as long as it takes.{p_end} +{synopt :{opth pool:size(#)}}apply the within algorithm in groups of {it:#} variables (default 10). a large poolsize is usually faster but uses more memory{p_end} +{synopt :{opt accel:eration(str)}}acceleration method; options are conjugate_gradient (cg), steep_descent (sd), aitken (a), and none (no){p_end} +{synopt :{opt transf:orm(str)}}transform operation that defines the type of alternating projection; options are Kaczmarz (kac), Cimmino (cim), Symmetric Kaczmarz (sym){p_end} + +{syntab:Speedup Tricks {help reghdfe##opt_speedup:[+]}} +{synopt :{cmd: cache(save} [,opt]{cmd:)}}absorb all variables without regressing (destructive; combine it with {help preserve:preserve/restore}){p_end} +{synopt :}suboption {opth keep(varlist)} adds additional untransformed variables to the resulting dataset{p_end} +{synopt :{cmd: cache(use)}}run regressions on cached data; {it:vce()} must be the same as with {cmd: cache(save)}.{p_end} +{synopt :{cmd: cache(clear)}}delete Mata objects to clear up memory; no more regressions can be run after this{p_end} +{synopt :{opt fast}}will not create {it:e(sample)}; disabled when saving fixed effects, residuals or mobility groups{p_end} + +{syntab:Degrees-of-Freedom Adjustments {help reghdfe##opt_dof:[+]}} +{synopt :{opt dof:adjustments(list)}}allows selecting the desired adjustments for degrees of freedom; +rarely used{p_end} +{synopt: {opth groupv:ar(newvar)}}unique identifier for the first mobility group{p_end} + +{syntab:Reporting {help reghdfe##opt_reporting:[+]}} +{synopt :{opt version:}}reports the version number and date of reghdfe, and saves it in e(version). standalone option{p_end} +{synopt :{opt l:evel(#)}}set confidence level; default is {cmd:level(95)}{p_end} +{synopt :{it:{help reghdfe##display_options:display_options}}}control column formats, row spacing, line width, display of omitted variables and base and empty cells, and factor-variable labeling.{p_end} +{synopt :}particularly useful are the {opt noomit:ted} and {opt noempty} options to hide regressors omitted due to collinearity{p_end} + +{syntab:Undocumented} +{synopt :{opt keepsin:gletons}}do not drop singleton groups{p_end} +{synopt :{opt old}}will call the latest 2.x version of reghdfe instead (see the {help reghdfe_old:old help file}){p_end} +{synoptline} +{p2colreset}{...} +{p 4 6 2}* {opt absorb(absvars)} is required.{p_end} +{p 4 6 2}+ indicates a recommended or important option.{p_end} +{p 4 6 2}{it:indepvars}, {it:endogvars} and {it:iv_vars} may contain factor variables; see {help fvvarlist}.{p_end} +{p 4 6 2}all the regression variables may contain time-series operators; see {help tsvarlist}.{p_end} +{p 4 6 2}{cmd:fweight}s, {cmd:aweight}s and {cmd:pweight}s are allowed; see {help weight}.{p_end} + + +{marker absvar}{...} +{title:Absvar Syntax} + +{synoptset 22}{...} +{synopthdr:absvar} +{synoptline} +{synopt:{cmd:i.}{it:varname}}categorical variable to be absorbed (the {cmd:i.} prefix is tacit){p_end} +{synopt:{cmd:i.}{it:var1}{cmd:#i.}{it:var2}}absorb the interactions of multiple categorical variables{p_end} +{synopt:{cmd:i.}{it:var1}{cmd:#}{cmd:c.}{it:var2}}absorb heterogeneous slopes, where {it:var2} has a different slope coef. depending on the category of {it:var1}{p_end} +{synopt:{it:var1}{cmd:##}{cmd:c.}{it:var2}}equivalent to "{cmd:i.}{it:var1} {cmd:i.}{it:var1}{cmd:#}{cmd:c.}{it:var2}", but {it:much} faster{p_end} +{synopt:{it:var1}{cmd:##c.(}{it:var2 var3}{cmd:)}}multiple heterogeneous slopes are allowed together. Alternative syntax: {it:var1}{cmd:##(c.}{it:var2} {cmd:c.}{it:var3}{cmd:)}{p_end} +{synopt:{it:v1}{cmd:#}{it:v2}{cmd:#}{it:v3}{cmd:##c.(}{it:v4 v5}{cmd:)}}factor operators can be combined{p_end} +{synoptline} +{p2colreset}{...} +{p 4 6 2}To save the estimates specific absvars, write {newvar}{inp:={it:absvar}}.{p_end} +{p 4 6 2}Please be aware that in most cases these estimates are neither consistent nor econometrically identified.{p_end} +{p 4 6 2}Using categorical interactions (e.g. {it:x}{cmd:#}{it:z}) is faster than running {it:egen group(...)} beforehand.{p_end} +{p 4 6 2}Singleton obs. are dropped iteratively until no more singletons are found (see ancilliary article for details).{p_end} +{p 4 6 2}Slope-only absvars ("state#c.time") have poor numerical stability and slow convergence. +If you need those, either i) increase tolerance or +ii) use slope-and-intercept absvars ("state##c.time"), even if the intercept is redundant. +For instance if absvar is "i.zipcode i.state##c.time" then i.state is redundant given i.zipcode, but +convergence will still be {it:much} faster.{p_end} + +{marker description}{...} +{title:Description} + +{pstd} +{cmd:reghdfe} is a generalization of {help areg} (and {help xtreg:xtreg,fe}, {help xtivreg:xtivreg,fe}) for multiple levels of fixed effects +(including heterogeneous slopes), alternative estimators (2sls, gmm2s, liml), and additional robust standard errors (multi-way clustering, HAC standard errors, etc).{p_end} + +{pstd}Additional features include:{p_end} + +{p2col 8 12 12 2: a)}A novel and robust algorithm to efficiently absorb the fixed effects (extending the work of Guimaraes and Portugal, 2010).{p_end} +{p2col 8 12 12 2: b)}Coded in Mata, which in most scenarios makes it even faster than {it:areg} and {it:xtreg} for a single fixed effect (see benchmarks on the Github page).{p_end} +{p2col 8 12 12 2: c)}Can save the point estimates of the fixed effects ({it:caveat emptor}: the fixed effects may not be identified, see the {help reghdfe##references:references}).{p_end} +{p2col 8 12 12 2: d)}Calculates the degrees-of-freedom lost due to the fixed effects +(note: beyond two levels of fixed effects, this is still an open problem, but we provide a conservative approximation).{p_end} +{p2col 8 12 12 2: e)}Iteratively removes singleton groups by default, to avoid biasing the standard errors (see ancillary document).{p_end} + +{marker options}{...} +{title:Options} + +{marker opt_model}{...} +{dlgtab:Model and Miscellanea} + +{phang} +{opth a:bsorb(reghdfe##absvar:absvars)} list of categorical variables (or interactions) representing the fixed effects to be absorbed. +this is equivalent to including an indicator/dummy variable for each category of each {it:absvar}. {cmd:absorb()} is required. + +{pmore} +To save a fixed effect, prefix the absvar with "{newvar}{cmd:=}". +For instance, the option {cmd:absorb(firm_id worker_id year_coefs=year_id)} will include firm, +worker and year fixed effects, but will only save the estimates for the year fixed effects (in the new variable {it:year_coefs}). + +{pmore} +If you want to {help reghdfe##postestimation:predict} afterwards but don't care about setting the names of each fixed effect, use the {cmdab:save:fe} suboption. +This will delete all variables named {it:__hdfe*__} and create new ones as required. +Example: {it:reghdfe price weight, absorb(turn trunk, savefe)} + +{phang} +{opth res:iduals(newvar)} will save the regression residuals in a new variable. + +{pmore} +This is a superior alternative than running {cmd:predict, resid} afterwards as it's faster and doesn't require saving the fixed effects. + +{phang} +{opth su:mmarize(tabstat##statname:stats)} will report and save a table of summary of statistics of the regression +variables (including the instruments, if applicable), using the same sample as the regression. + +{pmore} {opt su:mmarize} (without parenthesis) saves the default set of statistics: {it:mean min max}. + +{pmore} The complete list of accepted statistics is available in the {help tabstat##statname:tabstat help}. The most useful are {it:count range sd median p##}. + +{pmore} The summary table is saved in {it:e(summarize)} + +{pmore} To save the summary table silently (without showing it after the regression table), use the {opt qui:etly} suboption. You can use it by itself ({cmd:summarize(,quietly)}) or with custom statistics ({cmd:summarize(mean, quietly)}). + +{phang} +{opt subopt:ions(...)} +options that will be passed directly to the regression command (either {help regress}, {help ivreg2}, or {help ivregress}) + +{marker opt_vce}{...} +{dlgtab:SE/Robust} + +{phang} +{opth vce:(reghdfe##vcetype:vcetype, subopt)} +specifies the type of standard error reported. +Note that all the advanced estimators rely on asymptotic theory, and will likely have poor performance with small samples +(but again if you are using reghdfe, that is probably not your case) + +{pmore} +{opt un:adjusted}/{opt ols:} estimates conventional standard errors, valid even in small samples +under the assumptions of homoscedasticity and no correlation between observations + +{pmore} +{opt r:obust} estimates heteroscedasticity-consistent standard errors (Huber/White/sandwich estimators), but still assuming independence between observations + +{pmore}Warning: in a FE panel regression, using {opt r:obust} will +lead to inconsistent standard errors if for every fixed effect, the {it:other} dimension is fixed. +For instance, in an standard panel with individual and time fixed effects, we require both the number of +individuals and time periods to grow asymptotically. +If that is not the case, an alternative may be to use clustered errors, +which as discussed below will still have their own asymptotic requirements. +For a discussion, see +{browse "http://www.princeton.edu/~mwatson/papers/ecta6489.pdf":Stock and Watson, "Heteroskedasticity-robust standard errors for fixed-effects panel-data regression," Econometrica 76 (2008): 155-174} + +{pmore} +{opt cl:uster} {it:clustervars} estimates consistent standard errors even when the observations +are correlated within groups. + +{pmore} +Multi-way-clustering is allowed. Thus, you can indicate as many {it:clustervar}s as desired +(e.g. allowing for intragroup correlation across individuals, time, country, etc). + +{pmore} +Each {it:clustervar} permits interactions of the type {it:var1{cmd:#}var2} +(this is faster than using {cmd:egen group()} for a one-off regression). + +{pmore} Warning: The number of clusters, for all of the cluster variables, must go off to infinity. +A frequent rule of thumb is that each cluster variable must have at least 50 different categories +(the number of categories for each clustervar appears on the header of the regression table). + +{pstd} +The following suboptions require either the {help ivreg2} or the {help avar} package from SSC. +For a careful explanation, see the {help ivreg2##s_robust:ivreg2 help file}, from which the comments below borrow. + +{pmore} +{opt u:nadjusted}{cmd:, }{opt bw(#)} (or just {cmd:, }{opt bw(#)}) estimates autocorrelation-consistent standard errors (Newey-West). + +{pmore} +{opt r:obust}{cmd:, }{opt bw(#)} estimates autocorrelation-and-heteroscedasticity consistent standard errors (HAC). + +{pmore} +{opt cl:uster} {it:clustervars}{cmd:, }{opt bw(#)} estimates standard errors consistent to common autocorrelated disturbances (Driscoll-Kraay). At most two cluster variables can be used in this case. + +{pmore} +{cmd:, }{opt kiefer} estimates standard errors consistent under arbitrary intra-group autocorrelation (but not heteroskedasticity) (Kiefer). + +{pmore} +{opt kernel(str)} is allowed in all the cases that allow {opt bw(#)} +The default kernel is {it:bar} (Bartlett). Valid kernels are Bartlett (bar); Truncated (tru); Parzen (par); +Tukey-Hanning (thann); Tukey-Hamming (thamm); Daniell (dan); Tent (ten); and Quadratic-Spectral (qua or qs). + +{pstd} +Advanced suboptions: + +{pmore} +{cmd:, }{opt suite(default|mwc|avar)} overrides the package chosen by reghdfe to estimate the VCE. +{it:default} uses the default Stata computation (allows unadjusted, robust, and at most one cluster variable). +{it:mwc} allows multi-way-clustering (any number of cluster variables), but without the {it:bw} and {it:kernel} suboptions. +{it:avar} uses the avar package from SSC. Is the same package used by ivreg2, and allows the {it:bw}, {it:kernel}, {it:dkraay} and {it:kiefer} suboptions. +This is useful almost exclusively for debugging. + +{pmore} +{cmd:, }{opt twice:robust} will compute robust standard errors not only on the first but on the second step of the gmm2s estimation. Requires {opt ivsuite(ivregress)}, but will not give the exact same results as ivregress. + +{pmore}{it:Explanation:} When running instrumental-variable regressions with the {cmd:ivregress} package, +robust standard errors, and a gmm2s estimator, reghdfe will translate +{opt vce(robust)} into {opt wmatrix(robust)} {opt vce(unadjusted)}. +This maintains compatibility with {cmd:ivreg2} and other packages, but may unadvisable as described in {help ivregress} (technical note). Specifying this option will instead use {opt wmatrix(robust)} {opt vce(robust)}. + +{pmore}However, computing the second-step vce matrix requires computing updated estimates (including updated fixed effects). +Since reghdfe currently does not allow this, the resulting standard errors +{hi:will not be exactly the same as with ivregress}. +This issue is similar to applying the CUE estimator, described further below. + +{pmore}Note: The above comments are also appliable to clustered standard error. + +{marker opt_iv}{...} +{dlgtab:IV/2SLS/GMM} + +{phang} +{opt est:imator}{cmd:(}{opt 2sls}|{opt gmm:2s}|{opt liml}|{opt cue}{cmd:)} +estimator used in the instrumental-variable estimation + +{pmore} +{opt 2sls} (two-stage least squares, default), {opt gmm:2s} (two-stage efficient GMM), {opt liml} (limited-information maximum likelihood), and +{opt cue} ("continuously-updated" GMM) are allowed.{p_end} + +{pmore} +Warning: {opt cue} will not give the same results as ivreg2. See the discussion in +{browse "http://www.stata-journal.com/sjpdf.html?articlenum=st0030_3": Baum, Christopher F., Mark E. Schaffer, and Steven Stillman. "Enhanced routines for instrumental variables/GMM estimation and testing." Stata Journal 7.4 (2007): 465-506} +(page 484). +Note that even if this is not exactly {opt cue}, it may still be a desirable/useful alternative to standard cue, as explained in the article. + +{phang} +{opt stage:s(list)} +adds and saves up to four auxiliary regressions useful when running instrumental-variable regressions: + +{phang2}{cmd:first} all first-stage regressions{p_end} +{phang2}{cmd:ols} ols regression (between dependent variable and endogenous variables; useful as a benchmark){p_end} +{phang2}{cmd:reduced} reduced-form regression (ols regression with included and excluded instruments as regressors){p_end} +{phang2}{cmd:acid} an "acid" regression that includes both instruments and endogenous variables as regressors; in this setup, excluded instruments should not be significant.{p_end} + +{pmore} +You can pass suboptions not just to the iv command but to all stage regressions with a comma after the list of stages. Example:{break} +{cmd:reghdfe price (weight=length), absorb(turn) subopt(nocollin) stages(first, eform(exp(beta)) )} + +{pmore} +By default all stages are saved (see {help estimates dir}). +The suboption {cmd:,nosave} will prevent that. +However, future {cmd:replay}s will only replay the iv regression. + +{phang} +{opt ffirst} +compute and report first stage statistics ({help ivreg2##s_relevance:details}); requires the ivreg2 package. + +{pmore} +These statistics will be saved on the {it:e(first)} matrix. +If the first-stage estimates are also saved (with the {cmd:stages()} option), the respective statistics will be copied to {cmd:e(first_*)}. + +{phang} +{opth iv:suite(subcmd)} +allows the IV/2SLS regression to be run either using {opt ivregress} or {opt ivreg2}. + +{pmore} {opt ivreg2} is the default, but needs to be installed for that option to work. + +{marker opt_diagnostic}{...} +{dlgtab:Diagnostic} + +{phang} +{opt v:erbose(#)} orders the command to print debugging information. + +{pmore} +Possible values are 0 (none), 1 (some information), 2 (even more), 3 (adds dots for each iteration, and reportes parsing details), 4 (adds details for every iteration step) + +{pmore} +For debugging, the most useful value is 3. For simple status reports, set verbose to 1. + +{phang} +{opt time:it} shows the elapsed time at different steps of the estimation. Most time is usually spent on three steps: map_precompute(), map_solve() and the regression step. + +{marker opt_dof}{...} +{dlgtab:Degrees-of-Freedom Adjustments} + +{phang} +{opt dof:adjustments(doflist)} selects how the degrees-of-freedom, as well as e(df_a), are adjusted due to the absorbed fixed effects. + +{pmore} +Without any adjustment, we would assume that the degrees-of-freedom used by the fixed effects is equal to the count of all the fixed effects +(e.g. number of individuals + number of years in a typical panel). +However, in complex setups (e.g. fixed effects by individual, firm, job position, and year), +there may be a huge number of fixed effects collinear with each other, so we want to adjust for that. + +{pmore} +Note: changing the default option is rarely needed, except in benchmarks, and to obtain a marginal speed-up by excluding the {opt pair:wise} option. + +{pmore} +{opt all} is the default and almost always the best alternative. It is equivalent to {opt dof(pairwise clusters continuous)} + +{pmore} +{opt none} assumes no collinearity across the fixed effects (i.e. no redundant fixed effects). This is overtly conservative, although it is the faster method by virtue of not doing anything. + +{pmore} +{opt first:pair} will exactly identify the number of collinear fixed effects across the first two sets of fixed effects +(i.e. the first absvar and the second absvar). +The algorithm used for this is described in Abowd et al (1999), and relies on results from graph theory +(finding the number of connected sub-graphs in a bipartite graph). +It will not do anything for the third and subsequent sets of fixed effects. + +{pmore} +For more than two sets of fixed effects, there are no known results that provide exact degrees-of-freedom as in the case above. +One solution is to ignore subsequent fixed effects (and thus oversestimate e(df_a) and understimate the degrees-of-freedom). +Another solution, described below, applies the algorithm between pairs of fixed effects to obtain a better (but not exact) estimate: + +{pmore} +{opt pair:wise} applies the aforementioned connected-subgraphs algorithm between pairs of fixed effects. +For instance, if there are four sets of FEs, the first dimension will usually have no redundant coefficients (i.e. e(M1)==1), since we are running the model without a constant. +For the second FE, the number of connected subgraphs with respect to the first FE will provide an exact estimate of the degrees-of-freedom lost, e(M2). + +{pmore} +For the third FE, we do not know exactly. +However, we can compute the number of connected subgraphs between the first and third {it:G(1,3)}, +and second and third {it:G(2,3)} fixed effects, and choose the higher of those as the closest estimate for e(M3). +For the fourth FE, we compute {it:G(1,4)}, {it:G(2,4)} and {it:G(3,4)} and again choose the highest for e(M4). + +{pmore} +Finally, we compute e(df_a) = e(K1) - e(M1) + e(K2) - e(M2) + e(K3) - e(M3) + e(K4) - e(M4); +where e(K#) is the number of levels or dimensions for the #-th fixed effect (e.g. number of individuals or years). +Note that e(M3) and e(M4) are only conservative estimates and thus we will usually be overestimating the standard errors. However, given the sizes of the datasets typically used with reghdfe, the difference should be small. + +{pmore} +Since the gain from {opt pair:wise} is usually {it:minuscule} for large datasets, and the computation is expensive, it may be a good practice to exclude this option for speedups. + +{pmore} +{opt cl:usters} +will check if a fixed effect is nested within a {it:clustervar}. +In that case, it will set e(K#)==e(M#) and no degrees-of-freedom will be lost due to this fixed effect. +The rationale is that we are already assuming that the number of effective observations is the number of cluster levels. +This is the same adjustment that {cmd:xtreg, fe} does, but {cmd:areg} does not use it. + +{pmore} +{opt cont:inuous} +Fixed effects with continuous interactions (i.e. individual slopes, instead of individual intercepts) are dealt with differently. +In an i.categorical#c.continuous interaction, we will do one check: we count the number of categories where c.continuous is always zero. +In an i.categorical##c.continuous interaction, we do the above check but replace zero for any particular constant. +In the case where continuous is constant for a level of categorical, we know it is collinear with the intercept, so we adjust for it. + +{pmore} +Additional methods, such as {opt bootstrap} are also possible but not yet implemented. +Some preliminary simulations done by the author showed a very poor convergence of this method. + +{phang} +{opth groupv:ar(newvar)} name of the new variable that will contain the first mobility group. +Requires {opt pair:wise}, {opt first:pair}, or the default {opt all}. + +{marker opt_speedup}{...} +{dlgtab:Speeding Up Estimation} + +{phang} +{cmd:reghdfe} {varlist} {ifin}{cmd:,} {opt a:bsorb(absvars)} {cmd:save(cache)} [{it:options}] + +{pmore} +This will transform {it:varlist}, absorbing the fixed effects indicated by {it:absvars}. +It is useful when running a series of alternative specifications with common variables, as the variables will only be transformed once instead of every time a regression is run. + +{pmore} +It replaces the current dataset, so it is a good idea to precede it with a {help preserve} command + +{pmore} +To keep additional (untransformed) variables in the new dataset, use the {opth keep(varlist)} suboption. + +{phang} +{cmd:cache(use)} is used when running reghdfe after a {it:save(cache)} operation. Both the {it:absorb()} and {it:vce()} options must be the same as when the cache was created (the latter because the degrees of freedom were computed at that point). + +{phang} +{cmd:cache(clear)} will delete the Mata objects created by {it:reghdfe} and kept in memory after the {it:save(cache)} operation. These objects may consume a lot of memory, so it is a good idea to clean up the cache. Additionally, if you previously specified {it:preserve}, it may be a good time to {it:restore}. + +{pmore}Example:{p_end} +{phang2}{cmd:. sysuse auto}{p_end} +{phang2}{cmd:. preserve}{p_end} +{phang2}{cmd:.}{p_end} +{phang2}{cmd:. * Save the cache}{p_end} +{phang2}{cmd:. reghdfe price weight length, a(turn rep) vce(turn) cache(save, keep(foreign))}{p_end} +{phang2}{cmd:.}{p_end} +{phang2}{cmd:. * Run regressions}{p_end} +{phang2}{cmd:. reghdfe price weight, a(turn rep) cache(use)}{p_end} +{phang2}{cmd:. reghdfe price length, a(turn rep) cache(use)}{p_end} +{phang2}{cmd:.}{p_end} +{phang2}{cmd:. * Clean up}{p_end} +{phang2}{cmd:. reghdfe, cache(clear)}{p_end} +{phang2}{cmd:. restore}{p_end} + +{phang} +{opt fast} avoids saving {it:e(sample)} into the regression. +Since saving the variable only involves copying a Mata vector, the speedup is currently quite small. +Future versions of reghdfe may change this as features are added. + +{pmore} +Note that {opt fast} will be disabled when adding variables to the dataset (i.e. when saving residuals, fixed effects, or mobility groups), and is incompatible with most postestimation commands. + +{pmore} +If you wish to use {opt fast} while reporting {cmd:estat summarize}, see the {opt summarize} option. + +{marker opt_optimization}{...} +{dlgtab:Optimization} + +{phang} +{opth tol:erance(#)} specifies the tolerance criterion for convergence; default is {cmd:tolerance(1e-8)} + +{pmore} +Note that for tolerances beyond 1e-14, the limits of the {it:double} precision are reached and the results will most likely not converge. + +{pmore} +At the other end, is not tight enough, the regression may not identify perfectly collinear regressors. However, those cases can be easily spotted due to their extremely high standard errors. + +{pmore} +Warning: when absorbing heterogeneous slopes without the accompanying heterogeneous intercepts, convergence is quite poor and a tight tolerance is strongly suggested (i.e. higher than the default). In other words, an absvar of {it:var1##c.var2} converges easily, but an absvar of {it:var1#c.var2} will converge slowly and may require a tighter tolerance. + +{phang} +{opth maxit:erations(#)} +specifies the maximum number of iterations; the default is {cmd:maxiterations(10000)}; set it to missing ({cmd:.}) to run forever until convergence. + +{phang} +{opth pool:size(#)} +Number of variables that are {it:pooled together} into a matrix that will then be transformed. +The default is to pool variables in groups of 5. Larger groups are faster with more than one processor, but may cause out-of-memory errors. In that case, set poolsize to 1. + +{phang} +{it:Advanced options:} + +{phang} +{opt acceleration(str)} allows for different acceleration techniques, from the simplest case of +no acceleration ({opt no:ne}), to steep descent ({opt st:eep_descent} or {opt sd}), Aitken ({opt a:itken}), +and finally Conjugate Gradient ({opt co:njugate_gradient} or {opt cg}). + +{pmore} +Note: Each acceleration is just a plug-in Mata function, so a larger number of acceleration techniques are available, albeit undocumented (and slower). + +{phang} +{opt transf:orm(str)} allows for different "alternating projection" transforms. The classical transform is Kaczmarz ({opt kac:zmarz}), and more stable alternatives are Cimmino ({opt cim:mino}) and Symmetric Kaczmarz ({opt sym:metric_kaczmarz}) + +{pmore} +Note: Each transform is just a plug-in Mata function, so a larger number of acceleration techniques are available, albeit undocumented (and slower). + +{pmore} +Note: The default acceleration is Conjugate Gradient and the default transform is Symmetric Kaczmarz. Be wary that different accelerations often work better with certain transforms. For instance, do not use conjugate gradient with plain Kaczmarz, as it will not converge. + +{phang} +{opt precondition} {it:(currently disabled)} + +{marker opt_reporting}{...} +{dlgtab:Reporting} + +{phang} +{opt l:evel(#)} sets confidence level; default is {cmd:level(95)} + +{marker display_options}{...} +{phang} +{it:display_options}: +{opt noomit:ted}, +{opt vsquish}, +{opt noempty:cells}, +{opt base:levels}, +{opt allbase:levels}, +{opt nofvlabel}, +{opt fvwrap(#)}, +{opt fvwrapon(style)}, +{opth cformat(%fmt)}, +{opt pformat(%fmt)}, +{opt sformat(%fmt)}, and +{opt nolstretch}; + see {helpb estimation options##display_options:[R] estimation options}. + {p_end} + + +{marker postestimation}{...} +{title:Postestimation Syntax} + +Only {cmd:estat summarize}, {cmd:predict} and {cmd:test} are currently supported and tested. + +{p 8 13 2} +{cmd:estat summarize} +{p_end}{col 23}Summarizes {it:depvar} and the variables described in {it:_b} (i.e. not the excluded instruments) + +{p 8 16 2} +{cmd:predict} +{newvar} +{ifin} +[{cmd:,} {it:statistic}] +{p_end}{col 23}May require you to previously save the fixed effects (except for option {opt xb}). +{col 23}To see how, see the details of the {help reghdfe##absvar:absorb} option +{col 23}Equation: y = xb + d_absorbvars + e + +{synoptset 20 tabbed}{...} +{synopthdr:statistic} +{synoptline} +{syntab :Main} +{p2coldent: {opt xb}}xb fitted values; the default{p_end} +{p2coldent: {opt xbd}}xb + d_absorbvars{p_end} +{p2coldent: {opt d}}d_absorbvars{p_end} +{p2coldent: {opt r:esiduals}}residual{p_end} +{p2coldent: {opt sc:ore}}score; equivalent to {opt residuals}{p_end} +{p2coldent: {opt stdp}}standard error of the prediction (of the xb component){p_end} +{synoptline} +{p2colreset}{...} +{p 4 6 2}although {cmd:predict} {help data_types:type} {help newvar} is allowed, +the resulting variable will always be of type {it:double}.{p_end} + + +{col 8}{cmd:test}{col 23}Performs significance test on the parameters, see the {help test:stata help} + +{col 8}{cmd:suest}{col 23}Do not use {cmd:suest}. It will run, but the results will be incorrect. See workaround below + +{pmore}If you want to perform tests that are usually run with {cmd:suest}, +such as non-nested models, tests using alternative specifications of the variables, +or tests on different groups, you can replicate it manually, as described +{browse "http://www.stata.com/statalist/archive/2009-11/msg01485.html":here}. +{p_end} + +{marker remarks}{...} + +{title:Possible Pitfalls and Common Mistakes} + +{p2col 8 12 12 2: 1.}(note: as of version 2.1, the constant is no longer reported) Ignore the constant; it doesn't tell you much. If you want to use descriptive stats, that's what the {opt sum:marize()} and {cmd:estat summ} commands are for. +Even better, use {opt noconstant} to drop it (although it's not really dropped as it never existed on the first place!){p_end} +{p2col 8 12 12 2: 2.}Think twice before saving the fixed effects. They are probably inconsistent / not identified and you will likely be using them wrong.{p_end} +{p2col 8 12 12 2: 3.}(note: as of version 3.0 singletons are dropped by default) It's good practice to drop singletons. {opt dropsi:ngleton} is your friend.{p_end} +{p2col 8 12 12 2: 4.}If you use {opt vce(robust)}, be sure that your {it:other} dimension is not "fixed" but grows with N, or your SEs will be wrong.{p_end} +{p2col 8 12 12 2: 5.}If you use {opt vce(cluster ...)}, check that your number of clusters is high enough (50+ is a rule of thumb). If not, you are making the SEs even worse!{p_end} +{p2col 8 12 12 2: 6.}The panel variables (absvars) should probably be nested within the clusters (clustervars) due to the within-panel correlation induced by the FEs. +(this is not the case for *all* the absvars, only those that are treated as growing as N grows){p_end} +{p2col 8 12 12 2: 7.}If you run analytic or probability weights, +you are responsible for ensuring that the weights stay +constant within each unit of a fixed effect (e.g. individual), +or that it is correct to allow varying-weights for that case. +{p_end} +{p2col 8 12 12 2: 8.}Be aware that adding several HDFEs is not a panacea. +The first limitation is that it only uses within variation (more than acceptable if you have a large enough dataset). +The second and subtler limitation occurs if the fixed effects are themselves outcomes of the variable of interest (as crazy as it sounds). +For instance, imagine a regression where we study the effect of past corporate fraud on future firm performance. +We add firm, CEO and time fixed-effects (standard practice). This introduces a serious flaw: whenever a fraud event is discovered, +i) future firm performance will suffer, and ii) a CEO turnover will likely occur. +Moreover, after fraud events, the new CEOs are usually specialized in dealing with the aftershocks of such events +(and are usually accountants or lawyers). +The fixed effects of these CEOs will also tend to be quite low, as they tend to manage firms with very risky outcomes. +Therefore, the regressor (fraud) affects the fixed effect (identity of the incoming CEO). +Adding particularly low CEO fixed effects will then overstate the performance of the firm, +and thus {it:understate} the negative effects of fraud on future firm performance.{p_end} + +{title:Missing Features} + +{phang}(If you are interested in discussing these or others, feel free to {help reghdfe##contact:contact me}) + +{phang}Code, medium term: + +{p2col 8 12 12 2: -}Complete GT preconditioning (v4){p_end} +{p2col 8 12 12 2: -}Improve algorithm that recovers the fixed effects (v5){p_end} +{p2col 8 12 12 2: -}Improve statistics and tests related to the fixed effects (v5){p_end} +{p2col 8 12 12 2: -}Implement a -bootstrap- option in DoF estimation (v5){p_end} + +{phang}Code, long term: + +{p2col 8 12 12 2: -}The interaction with cont vars (i.a#c.b) may suffer from numerical accuracy issues, as we are dividing by a sum of squares{p_end} +{p2col 8 12 12 2: -}Calculate exact DoF adjustment for 3+ HDFEs (note: not a problem with cluster VCE when one FE is nested within the cluster){p_end} +{p2col 8 12 12 2: -}More postestimation commands (lincom? margins?){p_end} + +{phang}Theory: + +{p2col 8 12 12 2: -}Add a more thorough discussion on the possible identification issues{p_end} +{p2col 8 12 12 2: -}Find out a way to use reghdfe iteratively with CUE +(right now only OLS/2SLS/GMM2S/LIML give the exact same results){p_end} +{p2col 8 12 12 2: -}Not sure if I should add an F-test for the absvars in the vce(robust) and vce(cluster) cases. +Discussion on e.g. -areg- (methods and formulas) and textbooks suggests not; +on the other hand, there may be alternatives: +{it:{browse "http://www.socialsciences.manchester.ac.uk/disciplines/economics/research/discussionpapers/pdf/EDP-1124.pdf" :A Heteroskedasticity-Robust F-Test Statistic for Individual Effects}}{p_end} + +{marker examples}{...} +{title:Examples} + +{hline} +{pstd}Setup{p_end} +{phang2}{cmd:. sysuse auto}{p_end} + +{pstd}Simple case - one fixed effect{p_end} +{phang2}{cmd:. reghdfe price weight length, absorb(rep78)}{p_end} +{hline} + +{pstd}As above, but also compute clustered standard errors{p_end} +{phang2}{cmd:. reghdfe price weight length, absorb(rep78) vce(cluster rep78)}{p_end} +{hline} + +{pstd}Two and three sets of fixed effects{p_end} +{phang2}{cmd:. webuse nlswork}{p_end} +{phang2}{cmd:. reghdfe ln_w grade age ttl_exp tenure not_smsa south , absorb(idcode year)}{p_end} +{phang2}{cmd:. reghdfe ln_w grade age ttl_exp tenure not_smsa south , absorb(idcode year occ)}{p_end} +{hline} + +{title:Advanced examples} + +{pstd}Save the FEs as variables{p_end} +{phang2}{cmd:. reghdfe ln_w grade age ttl_exp tenure not_smsa south , absorb(FE1=idcode FE2=year)}{p_end} + +{pstd}Report nested F-tests{p_end} +{phang2}{cmd:. reghdfe ln_w grade age ttl_exp tenure not_smsa south , absorb(idcode year) nested}{p_end} + +{pstd}Do AvgE instead of absorb() for one FE{p_end} +{phang2}{cmd:. reghdfe ln_w grade age ttl_exp tenure not_smsa south , absorb(idcode year) avge(occ)}{p_end} +{phang2}{cmd:. reghdfe ln_w grade age ttl_exp tenure not_smsa south , absorb(idcode year) avge(AvgByOCC=occ)}{p_end} + +{pstd}Check that FE coefs are close to 1.0{p_end} +{phang2}{cmd:. reghdfe ln_w grade age ttl_exp tenure not_smsa , absorb(idcode year) check}{p_end} + +{pstd}Save first mobility group{p_end} +{phang2}{cmd:. reghdfe ln_w grade age ttl_exp tenure not_smsa , absorb(idcode occ) group(mobility_occ)}{p_end} + +{pstd}Factor interactions in the independent variables{p_end} +{phang2}{cmd:. reghdfe ln_w i.grade#i.age ttl_exp tenure not_smsa , absorb(idcode occ)}{p_end} + +{pstd}Interactions in the absorbed variables (notice that only the {it:#} symbol is allowed){p_end} +{phang2}{cmd:. reghdfe ln_w grade age ttl_exp tenure not_smsa , absorb(idcode#occ)}{p_end} + +{pstd}Interactions in both the absorbed and AvgE variables (again, only the {it:#} symbol is allowed){p_end} +{phang2}{cmd:. reghdfe ln_w grade age ttl_exp not_smsa , absorb(idcode#occ) avge(tenure#occ)}{p_end} + +{pstd}IV regression{p_end} +{phang2}{cmd:. sysuse auto}{p_end} +{phang2}{cmd:. reghdfe price weight (length=head), absorb(rep78)}{p_end} +{phang2}{cmd:. reghdfe price weight (length=head), absorb(rep78) first}{p_end} +{phang2}{cmd:. reghdfe price weight (length=head), absorb(rep78) ivsuite(ivregress)}{p_end} + +{pstd}Factorial interactions{p_end} +{phang2}{cmd:. reghdfe price weight (length=head), absorb(rep78)}{p_end} +{phang2}{cmd:. reghdfe price weight length, absorb(rep78 turn##c.price)}{p_end} + + +{marker results}{...} +{title:Stored results} + +{pstd} +{cmd:reghdfe} stores the following in {cmd:e()}: + +{pstd} +{it:Note: it also keeps most e() results placed by the regression subcommands (ivreg2, ivregress)} + +{synoptset 24 tabbed}{...} +{syntab:Scalars} +{synopt:{cmd:e(N)}}number of observations{p_end} +{synopt:{cmd:e(N_hdfe)}}number of absorbed fixed-effects{p_end} +{synopt:{cmd:e(tss)}}total sum of squares{p_end} +{synopt:{cmd:e(rss)}}residual sum of squares{p_end} +{synopt:{cmd:e(r2)}}R-squared{p_end} +{synopt:{cmd:e(r2_a)}}adjusted R-squared{p_end} +{synopt:{cmd:e(r2_within)}}Within R-squared{p_end} +{synopt:{cmd:e(r2_a_within)}}Adjusted Within R-squared{p_end} +{synopt:{cmd:e(df_a)}}degrees of freedom lost due to the fixed effects{p_end} +{synopt:{cmd:e(rmse)}}root mean squared error{p_end} +{synopt:{cmd:e(ll)}}log-likelihood{p_end} +{synopt:{cmd:e(ll_0)}}log-likelihood of fixed-effect-only regression{p_end} +{synopt:{cmd:e(F)}}F statistic{p_end} +{synopt:{cmd:e(F_absorb)}}F statistic for absorbed effect {it:note: currently disabled}{p_end} +{synopt:{cmd:e(rank)}}rank of {cmd:e(V)}{p_end} +{synopt:{cmd:e(N_clustervars)}}number of cluster variables{p_end} + +{synopt:{cmd:e(clust}#{cmd:)}}number of clusters for the #th cluster variable{p_end} +{synopt:{cmd:e(N_clust)}}number of clusters; minimum of {it:e(clust#)}{p_end} + +{synopt:{cmd:e(K}#{cmd:)}}Number of categories of the #th absorbed FE{p_end} +{synopt:{cmd:e(M}#{cmd:)}}Number of redundant categories of the #th absorbed FE{p_end} +{synopt:{cmd:e(mobility)}}Sum of all {cmd:e(M#)}{p_end} +{synopt:{cmd:e(df_m)}}model degrees of freedom{p_end} +{synopt:{cmd:e(df_r)}}residual degrees of freedom{p_end} + +{synoptset 24 tabbed}{...} +{syntab:Macros} +{synopt:{cmd:e(cmd)}}{cmd:reghdfe}{p_end} +{synopt:{cmd:e(subcmd)}}either {cmd:regress}, {cmd:ivreg2} or {cmd:ivregress}{p_end} +{synopt:{cmd:e(model)}}{cmd:ols}, {cmd:iv}, {cmd:gmm2s}, {cmd:liml} or {cmd:cue}{p_end} +{synopt:{cmd:e(cmdline)}}command as typed{p_end} +{synopt:{cmd:e(dofmethod)}}dofmethod employed in the regression{p_end} +{synopt:{cmd:e(depvar)}}name of dependent variable{p_end} +{synopt:{cmd:e(indepvars)}}names of independent variables{p_end} +{synopt:{cmd:e(endogvars)}}names of endogenous right-hand-side variables{p_end} +{synopt:{cmd:e(instruments)}}names of excluded instruments{p_end} +{synopt:{cmd:e(absvars)}}name of the absorbed variables or interactions{p_end} +{synopt:{cmd:e(title)}}title in estimation output{p_end} +{synopt:{cmd:e(clustvar)}}name of cluster variable{p_end} +{synopt:{cmd:e(clustvar}#{cmd:)}}name of the #th cluster variable{p_end} +{synopt:{cmd:e(vce)}}{it:vcetype} specified in {cmd:vce()}{p_end} +{synopt:{cmd:e(vcetype)}}title used to label Std. Err.{p_end} +{synopt:{cmd:e(stage)}}stage within an IV-regression; only if {it:stages()} was used{p_end} +{synopt:{cmd:e(properties)}}{cmd:b V}{p_end} + +{synoptset 24 tabbed}{...} +{syntab:Matrices} +{synopt:{cmd:e(b)}}coefficient vector{p_end} +{synopt:{cmd:e(V)}}variance-covariance matrix of the estimators{p_end} + +{synoptset 24 tabbed}{...} +{syntab:Functions} +{synopt:{cmd:e(sample)}}marks estimation sample{p_end} +{p2colreset}{...} + +{marker contact}{...} +{title:Author} + +{pstd}Sergio Correia{break} +Fuqua School of Business, Duke University{break} +Email: {browse "mailto:sergio.correia@gmail.com":sergio.correia@gmail.com} +{p_end} + +{marker user_guide}{...} +{title:User Guide} + +{pstd} +A copy of this help file, as well as a more in-depth user guide is in development and will be available at {browse "http://scorreia.com/reghdfe"}.{p_end} + +{marker updates}{...} +{title:Latest Updates} + +{pstd} +{cmd:reghdfe} is updated frequently, and upgrades or minor bug fixes may not be immediately available in SSC. +To check or contribute to the latest version of reghdfe, explore the +{browse "https://github.com/sergiocorreia/reghdfe":Github repository}. +Bugs or missing features can be discussed through email or at the {browse "https://github.com/sergiocorreia/reghdfe/issues":Github issue tracker}.{p_end} + +{pstd} +To see your current version and installed dependencies, type {cmd:reghdfe, version} +{p_end} + +{marker acknowledgements}{...} +{title:Acknowledgements} + +{pstd} +This package wouldn't have existed without the invaluable feedback and contributions of Paulo Guimaraes, Amine Ouazad, Mark Schaffer and Kit Baum. Also invaluable are the great bug-spotting abilities of many users.{p_end} + +{pstd}In addition, {it:reghdfe} is build upon important contributions from the Stata community:{p_end} + +{phang}{browse "https://ideas.repec.org/c/boc/bocode/s457101.html":reg2hdfe}, from Paulo Guimaraes, +and {browse "https://ideas.repec.org/c/boc/bocode/s456942.html":a2reg} from Amine Ouazad, + were the inspiration and building blocks on which reghdfe was built.{p_end} + +{phang}{browse "http://www.repec.org/bocode/i/ivreg2.html":ivreg2}, by Christopher F Baum, Mark E Schaffer and Steven Stillman, is the package used by default for instrumental-variable regression.{p_end} + +{phang}{browse "https://ideas.repec.org/c/boc/bocode/s457689.html":avar} by Christopher F Baum and Mark E Schaffer, is the package used for estimating the HAC-robust standard errors of ols regressions.{p_end} + +{phang}{browse "http://econpapers.repec.org/software/bocbocode/s456797.htm":tuples} by Joseph Lunchman and Nicholas Cox, is used when computing standard errors with multi-way clustering (two or more clustering variables).{p_end} + +{marker references}{...} +{title:References} + +{p 0 0 2} +The algorithm underlying reghdfe is a generalization of the works by: + +{phang} +Paulo Guimaraes and Pedro Portugal. "A Simple Feasible Alternative Procedure to Estimate +Models with High-Dimensional Fixed Effects". +{it:Stata Journal, 10(4), 628-649, 2010.} +{browse "http://www.stata-journal.com/article.html?article=st0212":[link]} +{p_end} + +{phang} +Simen Gaure. "OLS with Multiple High Dimensional Category Dummies". +{it:Memorandum 14/2010, Oslo University, Department of Economics, 2010.} +{browse "https://ideas.repec.org/p/hhs/osloec/2010_014.html":[link]} +{p_end} + +{p 0 0 2} +It addresses many of the limitation of previous works, such as possible lack of convergence, arbitrary slow convergence times, +and being limited to only two or three sets of fixed effects (for the first paper). +The paper explaining the specifics of the algorithm is a work-in-progress and available upon request. + +{p 0 0 0} +If you use this program in your research, please cite either +the {browse "https://ideas.repec.org/c/boc/bocode/s457874.html":REPEC entry} +or the aforementioned papers.{p_end} + +{title:Additional References} + +{p 0 0 0} +For details on the Aitken acceleration technique employed, please see "method 3" as described by: + +{phang} +Macleod, Allan J. "Acceleration of vector sequences by multi-dimensional Delta-2 methods." +{it:Communications in Applied Numerical Methods 2.4 (1986): 385-392.} +{p_end} + +{p 0 0 0} +For the rationale behind interacting fixed effects with continuous variables, see: + +{phang} +Duflo, Esther. "The medium run effects of educational expansion: Evidence from a large school construction program in Indonesia." +{it:Journal of Development Economics 74.1 (2004): 163-197.}{browse "http://www.sciencedirect.com/science/article/pii/S0304387803001846": [link]} +{p_end} + +{p 0 0 0} +Also see: + +{phang}Abowd, J. M., R. H. Creecy, and F. Kramarz 2002. +Computing person and firm effects using linked longitudinal employer-employee data. +{it:Census Bureau Technical Paper TP-2002-06.} +{p_end} + +{phang} +Cameron, A. Colin & Gelbach, Jonah B. & Miller, Douglas L., 2011. +"Robust Inference With Multiway Clustering," +{it:Journal of Business & Economic Statistics, American Statistical Association, vol. 29(2), pages 238-249.} +{p_end} + +{phang} +Gormley, T. & Matsa, D. 2014. +"Common errors: How to (and not to) control for unobserved heterogeneity." +{it:The Review of Financial Studies, vol. 27(2), pages 617-661.} +{p_end} + +{phang} +Mittag, N. 2012. +"New methods to estimate models with large sets of fixed effects with an application to matched employer-employee data from Germany." +{it:{browse "http://doku.iab.de/fdz/reporte/2012/MR_01-12_EN.pdf":FDZ-Methodenreport 02/2012}.} +{p_end} diff --git a/30/replication_package/Adofiles/reghdfe_2019/reghdfe_old_estat.ado b/30/replication_package/Adofiles/reghdfe_2019/reghdfe_old_estat.ado new file mode 100644 index 0000000000000000000000000000000000000000..3c0c6101aa73ee18fed4b74be11cd681ca36480d --- /dev/null +++ b/30/replication_package/Adofiles/reghdfe_2019/reghdfe_old_estat.ado @@ -0,0 +1,32 @@ +program reghdfe_old_estat, rclass + version `=cond(c(version)<14, c(version), 13)' + if "`e(cmd)'" != "reghdfe" { + error 301 + } + + gettoken key 0 : 0, parse(", ") + local lkey = length(`"`key'"') + + if `"`key'"' == substr("summarize",1,max(2,`lkey')) { + + local 0 `rest' + syntax [anything] , [*] [noheader] // -noheader- gets silently ignored b/c it will always be -on- + + if ("`anything'"=="") { + * By default include the instruments + local anything `e(depvar)' `e(indepvars)' `e(endogvars)' `e(instruments)' + } + + * Need to use -noheader- as a workaround to the bug in -estat_summ- + estat_summ `anything' , `options' noheader + + } + else if `"`key'"' == "vce" { + vce `0' + } + else { + di as error `"invalid subcommand `key'"' + exit 321 + } + return add // ? +end diff --git a/30/replication_package/Adofiles/reghdfe_2019/reghdfe_old_footnote.ado b/30/replication_package/Adofiles/reghdfe_2019/reghdfe_old_footnote.ado new file mode 100644 index 0000000000000000000000000000000000000000..f3f6e02781ce79dba8a2859d4db8ed8820fcf55f --- /dev/null +++ b/30/replication_package/Adofiles/reghdfe_2019/reghdfe_old_footnote.ado @@ -0,0 +1,113 @@ +// ------------------------------------------------------------- +// Display Regression Footnote +// ------------------------------------------------------------- + +program reghdfe_old_footnote +syntax [, linesize(int 79)] + + local skip1 = max(`s(width_col1)'-1, 12) // works with both _coef_table, ivreg2 and ivregress + +if ("`e(model)'"=="ols" & inlist("`e(vce)'", "unadjusted", "ols")) { + local dfa1 = e(df_a) + 1 + local todisp `"F(`=e(df_a)-1', `e(df_r)') = "' + local skip3 = max(23-length(`"`todisp'"')-2,0) + local skip2 = max(14-length(`"`dfa1'"')-2,0) + local skip0 `skip1' + + foreach fe in `e(extended_absvars)' { + local skip1 = max(`skip1', length("`fe'")) + } + + di as text %`skip0's "Absorbed" " {c |}" /// + _skip(`skip3') `"`todisp'"' /// + as res %10.3f e(F_absorb) %8.3f fprob(e(df_a),e(df_r),e(F_absorb)) /// + as text _skip(13) `"(Joint test)"' + + * Col width + local WX = `skip1' + 1 + + * Show by-fe FStats + * Relevant macros: NUM_FE, FE1, .., FE_TARGET1, .., FE_VARLIST + local r2 = 1 - e(rss0)/e(tss) + local r2_report %4.3f `r2' + forval i = 1/`e(N_hdfe_extended)' { + local fe : word `i' of `e(extended_absvars)' + if (e(F_absorb`i')<.) { + di as text %`skip1's "`fe'" " {c |}" _continue + + local df_a_i = e(df_a`i') - (`i'==1) + local df_r_i = e(df_r`i') + local todisp `"F(`df_a_i', `df_r_i') = "' + local skip3 = max(23-length(`"`todisp'"')-2,0) + di as text _skip(`skip3') `"`todisp'"' _continue + + di as res %10.3f e(F_absorb`i') %8.3f fprob(e(df_a`i'),e(df_r`i'),e(F_absorb`i')) _continue + di as text _skip(12) `"(Nested test)"' + + local r2 = 1 - e(rss`i')/e(tss) + local r2_report `r2_report' " -> " %4.3f `r2' + *local cats = e(K`i') - e(M`i') + *local data = "`e(K`i')' categories, `e(M`i')' collinear, `cats' unique" + *local skip = 62 - length("`data'") + *di as text _skip(`skip') `"(`data')"' + } + } + di as text "{hline `=1+`skip0''}{c BT}{hline 64}" + if (e(rss0)<.) di as text " R-squared as we add HDFEs: " `r2_report' +} // regress-unadjusted specific +else { + foreach fe in `e(absvars)' { + local skip1 = max(`skip1', length("`fe'")) + } + local WX = `skip1' + 1 +} + +* Show category data +di as text +di as text "Absorbed degrees of freedom:" +di as text "{hline `WX'}{c TT}{hline 49}{c TRC}" // {c TT}{hline 14}" +di as text %`skip1's "Absorbed FE" " {c |}" /// + %13s "Num. Coefs." /// + %16s "= Categories" /// + %15s "- Redundant" /// + " {c |} " _continue + +// if ("`e(corr1)'"!="") di as text %13s "Corr. w/xb" _continue +di as text _n "{hline `WX'}{c +}{hline 49}{c RT}" // {c +}{hline 14}" + + local i 0 + local explain_exact 0 + local explain_nested 0 + + forval i = 1/`e(N_hdfe_extended)' { + local fe : word `i' of `e(extended_absvars)' + + + di as text %`skip1's "`fe'" " {c |}" _continue + local numcoefs = e(K`i') - e(M`i') + assert `numcoefs'<. & `numcoefs'>=0 + local note = cond(`e(M`i'_exact)'==0, "?", " ") + if ("`note'"=="?") { + local explain_exact 1 + } + else if (`e(M`i'_nested)'==1) { + local note * + local explain_nested 1 + } + + di as text %13s "`numcoefs'" _continue + di as text %16s "`e(K`i')'" _continue + + di as text %15s "`e(M`i')'" _continue + di as text %2s "`note'" " {c |} " _continue + //if ("`e(corr`i')'"!="") { + // di as text %13.4f `e(corr`i')' _continue + //} + di + } +di as text "{hline `WX'}{c BT}{hline 49}{c BRC}" // {c BT}{hline 14}" +if (`explain_exact') di as text "? = number of redundant parameters may be higher" +if (`explain_nested') di as text `"* = fixed effect nested within cluster; treated as redundant for DoF computation"' +// di as text _skip(4) "Fixed effect indicators: " in ye "`e(absvars)'" + +end diff --git a/30/replication_package/Adofiles/reghdfe_2019/reghdfe_old_p.ado b/30/replication_package/Adofiles/reghdfe_2019/reghdfe_old_p.ado new file mode 100644 index 0000000000000000000000000000000000000000..7a3c6aae14ac8dd7b35087ca6bbf92d85a55a923 --- /dev/null +++ b/30/replication_package/Adofiles/reghdfe_2019/reghdfe_old_p.ado @@ -0,0 +1,99 @@ +program define reghdfe_old_p + * (Maybe refactor using _pred_se ??) + + local version `clip(`c(version)', 11.2, 13.1)' // 11.2 minimum, 13+ preferred + qui version `version' + + *if "`e(cmd)'" != "reghdfe" { + * error 301 + *} + syntax anything [if] [in] , [XB XBD D Residuals SCores STDP] + if (`"`scores'"' != "") { + _score_spec `anything' + local varlist `s(varlist)' + } + else { + local 0 `anything' + syntax newvarname // [if] [in] , [XB XBD D Residuals SCores] + } + + local weight "[`e(wtype)'`e(wexp)']" // After -syntax-!!! + local option `xb' `xbd' `d' `residuals' `scores' `stdp' + if ("`option'"=="") local option xb // The default, as in -areg- + local numoptions : word count `option' + if (`numoptions'!=1) { + di as error "(predict reghdfe) syntax error; specify one and only one option" + exit 112 + } + if ("`option'"=="scores") local option residuals + + local fixed_effects "`e(absvars)'" + + * Intercept stdp call + if ("`option'"=="stdp") { + _predict double `varlist' `if' `in', stdp + * la var `varlist' "STDP" + exit + } + + * We need to have saved FEs and AvgEs for every option except -xb- + if ("`option'"!="xb") { + + * Only estimate using e(sample) except when computing xb (when we don't need -d- and can predict out-of-sample) + if (`"`if'"'!="") { + local if `if' & e(sample)==1 + } + else { + local if "if e(sample)==1" + } + + * Construct -d- (sum of FEs) + tempvar d + if ("`e(equation_d)'"=="") { + di as error "In order to predict, all the FEs need to be saved with the absorb option (#`g' was not)" + di as error "For instance, instead of {it:absorb(i.year i.firm)}, set absorb(FE_YEAR=i.year FE_FIRM=i.firm)" + exit 112 + } + qui gen double `d' = `e(equation_d)' `if' `in' + + } // Finished creating `d' if needed + + tempvar xb // XB will eventually contain XBD and RESID if that's the output + _predict double `xb' `if' `in', xb + + if ("`option'"=="xb") { + rename `xb' `varlist' + } + else { + * Make residual have mean zero (and add that to -d-) + su `e(depvar)' `if' `in' `weight', mean + local mean = r(mean) + su `xb' `if' `in' `weight', mean + local mean = `mean' - r(mean) + su `d' `if' `in' `weight', mean + local mean = `mean' - r(mean) + qui replace `d' = `d' + `mean' `if' `in' + + if ("`option'"=="d") { + rename `d' `varlist' + la var `varlist' "d[`fixed_effects']" + } + else if ("`option'"=="xbd") { + qui replace `xb' = `xb' + `d' `if' `in' + rename `xb' `varlist' + la var `varlist' "Xb + d[`fixed_effects']" + } + else if ("`option'"=="residuals") { + qui replace `xb' = `e(depvar)' - `xb' - `d' `if' `in' + rename `xb' `varlist' + la var `varlist' "Residuals" + } + else { + error 112 + } + } + + fvrevar `e(depvar)', list + local format : format `r(varlist)' + format `format' `varlist' +end diff --git a/30/replication_package/Adofiles/reghdfe_2019/reghdfe_p.ado b/30/replication_package/Adofiles/reghdfe_2019/reghdfe_p.ado new file mode 100644 index 0000000000000000000000000000000000000000..d39e35194a9e9d4fe5a1cf4045ff11f041fac491 --- /dev/null +++ b/30/replication_package/Adofiles/reghdfe_2019/reghdfe_p.ado @@ -0,0 +1,78 @@ +program define reghdfe_p, rclass + * Note: we IGNORE typlist and generate the newvar as double + * Note: e(resid) is missing outside of e(sample), so we don't need to condition on e(sample) + + * HACK: Intersect -score- and replace with -residuals- + cap syntax anything [if] [in], SCore + loc was_score = !c(rc) + if (`was_score') { + * Call _score_spec to get newvarname; discard type + * - This resolves wildcards that -margins- sends to predict (e.g. var* -> var1) + * - Do we really need to pass it `if' and `in' ? + _score_spec `anything', score + loc 0 `s(varlist)' `if' `in' , residuals + } + + syntax newvarname [if] [in] [, XB STDP Residuals D XBD DResiduals] + + * Ensure there is only one option + opts_exclusive "`xb' `stdp' `residuals' `d' `xbd' `dresiduals'" + + * Default option is xb + cap opts_exclusive "`xb' `stdp' `residuals' `d' `xbd' `dresiduals' placeholder" + if (!c(rc)) { + di as text "(option xb assumed; fitted values)" + loc xb "xb" + } + + local fixed_effects "`e(absvars)'" + + * Except for xb and stdp, we need the previously computed residuals + if ("`xb'" == "" & "`stdp'" == "") { + _assert ("`e(resid)'" != ""), msg("you must add the {bf:resid} option to reghdfe before running this prediction") + conf numeric var `e(resid)', exact + } + + if ("`xb'" != "" | "`stdp'" != "") { + * xb: normal treatment + PredictXB `varlist' `if' `in', `xb' `stdp' + } + else if ("`residuals'" != "") { + * resid: just return the preexisting variable + gen double `varlist' = `e(resid)' `if' `in' + la var `varlist' "Residuals" + if (`was_score') return local scorevars `varlist' + } + else if ("`d'" != "") { + * d: y - xb - resid + tempvar xb + PredictXB `xb' `if' `in', xb + gen double `varlist' = `e(depvar)' - `xb' - `e(resid)' `if' `in' + la var `varlist' "d[`fixed_effects']" + } + else if ("`xbd'" != "") { + * xbd: y - resid + gen double `varlist' = `e(depvar)' - `e(resid)' `if' `in' + la var `varlist' "Xb + d[`fixed_effects']" + } + else if ("`dresiduals'" != "") { + * dresid: y - xb + tempvar xb + PredictXB `xb' `if' `in', xb + gen double `varlist' = `e(depvar)' - `xb' `if' `in' + } + else { + error 100 + } +end + +program PredictXB + syntax newvarname [if] [in], [*] + cap matrix list e(b) // if there are no regressors, _predict fails + if (c(rc)) { + gen double `varlist' = 0 `if' `in' + } + else { + _predict double `varlist' `if' `in', `options' + } +end diff --git a/30/replication_package/Adofiles/reghdfe_2019/reghdfe_parse.ado b/30/replication_package/Adofiles/reghdfe_2019/reghdfe_parse.ado new file mode 100644 index 0000000000000000000000000000000000000000..5f14dd2af1c310caeb6b10973bd398243249841f --- /dev/null +++ b/30/replication_package/Adofiles/reghdfe_2019/reghdfe_parse.ado @@ -0,0 +1,139 @@ +* This program should only be called by fixed_effects() +program reghdfe_parse, sclass + +* Parse absorb + cap drop __hdfe* // destructive! + ms_parse_absvars `0' + loc extended_absvars `"`s(extended_absvars)'"' + mata: st_local("unquoted_absvars", subinstr(st_global("s(absvars)"), `"""', "")) + loc 0, `s(options)' + loc G = `s(G)' + +* Main syntax + #d; + syntax, [ + + /* Model */ + RESiduals(name) RESiduals2 /* use _reghdfe_resid */ + + /* Optimization (defaults are handled within Mata) */ + TOLerance(real -1) + MAXITerations(real -1) + ALGorithm(string) /* map gt lsmr cg */ + TRAnsform(string) + ACCELeration(string) + SLOPEmethod(string) + PRUNE + PRECONDition /* always compute LSMR preconditioner */ + + /* Memory usage (also see -compact- option) */ + POOLsize(integer 0) /* Process variables in batches of # ; 0 turns it off */ + + /* Degrees-of-freedom Adjustments */ + DOFadjustments(string) + GROUPVar(name) /* var with the first connected group between FEs */ + + CONDition // Report finite condition number; SLOW! + RRE(varname) // Report relative residual error + noCONstant // Report constant; enabled by default as otherwise -margins- fails + + /* Duplicated options */ + KEEPSINgletons + Verbose(numlist min=1 max=1 >=-1 <=5 integer) + + ] [*] /* capture display options, etc. */ + ; + #d cr + + if ("`keepsingletons'"!="") sreturn loc drop_singletons = 0 + if ("`verbose'"!="") sreturn loc verbose = `verbose' + sreturn loc report_constant = "`constant'" != "noconstant" + + sreturn loc options `"`options'"' + + assert "$reghdfe_touse" != "" + cap conf var $reghdfe_touse + if (c(rc)) gen byte $reghdfe_touse = 1 + markout $reghdfe_touse `unquoted_absvars', strok + +* Optimization + loc maxiterations = int(`maxiterations') + if (`tolerance' > 0) sreturn loc tolerance = `tolerance' + if (`maxiterations' > 0) sreturn loc maxiter = `maxiterations' + + * Transforms: allow abbreviations (cim --> cimmino) + if ("`transform'" != "") { + loc transform = lower("`transform'") + loc valid_transforms cimmino kaczmarz symmetric_kaczmarz rand_kaczmarz + foreach x of local valid_transforms { + if (strpos("`x'", "`transform'")==1) loc transform `x' + } + _assert (`: list transform in valid_transforms'), msg("invalid transform: `transform'") + sreturn loc transform "`transform'" + } + + * Accelerations + if ("`acceleration'" != "") { + loc acceleration = lower("`acceleration'") + if ("`acceleration'"=="cg") loc acceleration conjugate_gradient + if ("`acceleration'"=="sd") loc acceleration steepest_descent + if ("`acceleration'"=="off") loc acceleration none + loc valid_accelerations conjugate_gradient steepest_descent aitken none hybrid lsmr + foreach x of local valid_accelerations { + if (strpos("`x'", "`acceleration'")==1) loc acceleration `x' + } + _assert (`: list acceleration in valid_accelerations'), msg("invalid acceleration: `acceleration'") + sreturn loc acceleration "`acceleration'" + } + + * Disable prune of degree-1 edges + if ("`prune'" == "prune") sreturn loc prune = 1 + +* Parse DoF Adjustments + if ("`dofadjustments'"=="") local dofadjustments all + loc 0 , `dofadjustments' + syntax, [ALL NONE] [FIRSTpair PAIRwise] [CLusters] [CONTinuous] + local opts `pairwise' `firstpair' `clusters' `continuous' + local n : word count `opts' + local first_opt : word 1 of `opt' + opts_exclusive "`all' `none'" dofadjustments + opts_exclusive "`pairwise' `firstpair'" dofadjustments + opts_exclusive "`all' `first_opt'" dofadjustments + opts_exclusive "`none' `first_opt'" dofadjustments + if ("`none'" != "") local opts + if ("`all'" != "") local opts pairwise clusters continuous + //if (`: list posof "three" in opts') { + // cap findfile group3hdfe.ado + // _assert !_rc , msg("error: -group3hdfe- not installed, please run {stata ssc install group3hdfe}") + //} + if ("`groupvar'"!="") conf new var `groupvar' + sreturn local dofadjustments "`opts'" + sreturn loc groupvar "`s(groupvar)'" + +* Residuals + if ("`residuals2'" != "") { + _assert ("`residuals'" == ""), msg("residuals() syntax error") + cap drop _reghdfe_resid // destructive! + sreturn loc residuals _reghdfe_resid + } + else if ("`residuals'"!="") { + conf new var `residuals' + sreturn loc residuals `residuals' + } + +* Misc + if ("`condition'"!="") { + _assert `G'==2, msg("Computing finite condition number requires two FEs") + sreturn loc finite_condition 1 + } + + sreturn loc compute_rre = ("`rre'" != "") + if ("`rre'" != "") { + sreturn loc rre `rre' + } + + if (`poolsize' < 1) loc poolsize . + sreturn loc poolsize `poolsize' + + sreturn loc precondition = "`precondition'" != "" +end diff --git a/30/replication_package/Adofiles/reghdfe_2019/reghdfe_projections.mata b/30/replication_package/Adofiles/reghdfe_2019/reghdfe_projections.mata new file mode 100644 index 0000000000000000000000000000000000000000..2fac6ad769ad90376e3c90cb3af829b6a252cb06 --- /dev/null +++ b/30/replication_package/Adofiles/reghdfe_2019/reghdfe_projections.mata @@ -0,0 +1,166 @@ +// Code that partials out (demean) a specific fixed effect +mata: + +`Variables' panelmean(`Variables' y, + `Factor' f) +{ + pointer(`Variable') Pw, Pcounts + `Boolean' has_weights + has_weights = asarray(f.extra, "has_weights") == J(0,0,.) ? 0 : asarray(f.extra, "has_weights") + assert(has_weights==0 | has_weights==1) + + if (has_weights) { + Pw = &asarray(f.extra, "weights") + Pcounts = &asarray(f.extra, "weighted_counts") + return(editmissing(`panelsum'(y, *Pw, f.info) :/ *Pcounts, 0)) + } + else { + return(`panelsum'(y, f.info) :/ f.counts) + } +} + + +`Matrix' precompute_inv_xx(`Factor' f, + `Boolean' has_intercept) +{ + `Integer' i, L, K, offset + `Variables' x, tmp_x + `Variable' w, tmp_w + `Matrix' xmeans, inv_xx + `RowVector' tmp_xmeans + `Matrix' tmp_inv_xx + `Boolean' has_weights + + has_weights = asarray(f.extra, "has_weights") + + // x and w must be already sorted by the factor f + x = asarray(f.extra, "x") + L = f.num_levels + K = cols(x) + inv_xx = J(L * K, K, .) + + if (has_weights) w = asarray(f.extra, "weights") + if (has_intercept) xmeans = asarray(f.extra, "xmeans") + + for (i = 1; i <= L; i++) { + tmp_x = panelsubmatrix(x, i, f.info) + tmp_w = has_weights ? panelsubmatrix(w, i, f.info) : 1 + if (has_intercept) { + tmp_xmeans = K > 1 ? xmeans[i, .] : xmeans[i] + tmp_inv_xx = invsym(quadcrossdev(tmp_x, tmp_xmeans, tmp_w, tmp_x, tmp_xmeans)) + } + else { + tmp_inv_xx = invsym(quadcross(tmp_x, tmp_w, tmp_x)) + } + offset = K * (i - 1) + inv_xx[|offset + 1, 1 \ offset + K , . |] = tmp_inv_xx + } + return(inv_xx) +} + + +`Variables' panelsolve_invsym(`Variables' y, + `Factor' f, + `Boolean' has_intercept, + | `Matrix' alphas) +{ + `Integer' i, L, K, offset + `Variables' x, tmp_x, tmp_y, xbd, tmp_xbd + `Variable' w, tmp_w + `Matrix' xmeans, inv_xx + `RowVector' tmp_xmeans, tmp_ymeans + `Matrix' tmp_xy, tmp_inv_xx + `Boolean' has_weights + `Boolean' save_alphas + `Vector' b + + has_weights = asarray(f.extra, "has_weights") + save_alphas = args()>=4 & alphas!=J(0,0,.) + // assert(has_weights==0 | has_weights==1) + if (save_alphas) assert(cols(y)==1) + + // x, y and w must be already sorted by the factor f + L = f.num_levels + xbd = J(rows(y), cols(y), .) + x = asarray(f.extra, "x") + inv_xx = asarray(f.extra, "inv_xx") + K = cols(x) + + if (has_weights) w = asarray(f.extra, "weights") + if (has_intercept) xmeans = asarray(f.extra, "xmeans") + + for (i = 1; i <= L; i++) { + tmp_y = panelsubmatrix(y, i, f.info) + tmp_x = panelsubmatrix(x, i, f.info) + tmp_w = has_weights ? panelsubmatrix(w, i, f.info) : 1 + offset = K * (i - 1) + tmp_inv_xx = inv_xx[|offset + 1, 1 \ offset + K , . |] + + if (has_intercept) { + tmp_ymeans = mean(tmp_y, tmp_w) + tmp_xmeans = K > 1 ? xmeans[i, .] : xmeans[i] + tmp_xy = quadcrossdev(tmp_x, tmp_xmeans, tmp_w, tmp_y, tmp_ymeans) + if (save_alphas) { + b = tmp_inv_xx * tmp_xy + alphas[i, .] = tmp_ymeans - tmp_xmeans * b, b' + tmp_xbd = (tmp_x :- tmp_xmeans) * b :+ tmp_ymeans + } + else { + tmp_xbd = (tmp_x :- tmp_xmeans) * (tmp_inv_xx * tmp_xy) :+ tmp_ymeans + } + } + else { + tmp_xy = quadcross(tmp_x, tmp_w, tmp_y) + if (save_alphas) { + b = tmp_inv_xx * tmp_xy + alphas[i, .] = b' + tmp_xbd = tmp_x * b + } + else { + tmp_xbd = tmp_x * (tmp_inv_xx * tmp_xy) + } + } + xbd[|f.info[i,1], 1 \ f.info[i,2], .|] = tmp_xbd + } + return(f.invsort(xbd)) +} + +/* +`Variables' panelsolve_qrsolve(`Variables' Y, `Variables' X, `Factor' f) +{ + `Integer' i + `Variables' x, y, betas + + betas = J(f.num_levels, 1 + cols(X), .) + + for (i = 1; i <= f.num_levels; i++) { + y = panelsubmatrix(Y, i, F.info) + x = panelsubmatrix(X, i, F.info) , J(rows(y), 1, 1) + betas[i, .] = qrsolve(x, y)' + } + return(betas) +} + +*/ + +// used with lsmr if we have fixed slopes +`Variables' reghdfe_panel_precondition(`Variables' y, `Factor' f) +{ + `Vector' ans + pointer(`Variable') Pw + `Boolean' has_weights + + has_weights = asarray(f.extra, "has_weights") + if (has_weights) { + Pw = &asarray(f.extra, "weights") + ans = `panelsum'(y:^2, *Pw, f.info) + } + else { + ans = `panelsum'(y, f.info) + } + + ans = y :/ sqrt(ans)[f.levels] + return(ans) +} +end + diff --git a/30/replication_package/Adofiles/reghdfe_2019/reghdfe_store_alphas.ado b/30/replication_package/Adofiles/reghdfe_2019/reghdfe_store_alphas.ado new file mode 100644 index 0000000000000000000000000000000000000000..117997298d29f858d555a21d6e3339c11e80a448 --- /dev/null +++ b/30/replication_package/Adofiles/reghdfe_2019/reghdfe_store_alphas.ado @@ -0,0 +1,29 @@ +program define reghdfe_store_alphas, eclass + mata: st_local("save_any_fe", strofreal(HDFE.save_any_fe)) + assert inlist(`save_any_fe', 0, 1) + if (`save_any_fe') { + _assert e(depvar) != "", msg("e(depvar) is empty") + _assert e(resid) != "", msg("e(resid) is empty") + // we can't use -confirm var- because it might have TS operators + fvrevar `e(depvar)', list + confirm numeric var `e(resid)', exact + tempvar d + if (e(rank)) { + qui _predict double `d' if e(sample), xb + } + else if (e(report_constant)) { + gen double `d' = _b[_cons] if e(sample) + } + else { + gen double `d' = 0 if e(sample) + } + qui replace `d' = `e(depvar)' - `d' - `e(resid)' if e(sample) + + mata: HDFE.store_alphas("`d'") + drop `d' + + // Drop resid if we don't want to save it; and update e(resid) + cap drop __temp_reghdfe_resid__ + if (!c(rc)) ereturn local resid + } +end diff --git a/30/replication_package/Adofiles/reghdfe_2019/reghdfe_transforms.mata b/30/replication_package/Adofiles/reghdfe_2019/reghdfe_transforms.mata new file mode 100644 index 0000000000000000000000000000000000000000..397b61c4fd9b7a57c5f84d3a0d248e3d9b38abfb --- /dev/null +++ b/30/replication_package/Adofiles/reghdfe_2019/reghdfe_transforms.mata @@ -0,0 +1,68 @@ +mata: + +// -------------------------------------------------------------------------- +// Transformations: Compute RESIDUALS, not projections +// -------------------------------------------------------------------------- + +`Void' function transform_cimmino(`FixedEffects' S, `Variables' y, `Variables' ans,| `Boolean' get_proj) { + `Integer' g + if (args()<4 | get_proj==.) get_proj = 0 + ans = S.project_one_fe(y, 1) + for (g=2; g<=S.G; g++) { + ans = ans + S.project_one_fe(y, g) + } + ans = get_proj ? ans / S.G : y - ans / S.G +} + +// -------------------------------------------------------------------------- + +`Void' function transform_kaczmarz(`FixedEffects' S, `Variables' y, `Variables' ans,| `Boolean' get_proj) { + `Integer' g + + if (args()<4 | get_proj==.) get_proj = 0 + + ans = y - S.project_one_fe(y, 1) + for (g=2; g<=S.G; g++) { + ans = ans - S.project_one_fe(ans, g) + } + if (get_proj) ans = y - ans +} + +// -------------------------------------------------------------------------- +// This seems slower than kaczmarz (sym kaczmarz!); not used currently +`Void' function transform_rand_kaczmarz(`FixedEffects' S, `Variables' y, `Variables' ans,| `Boolean' get_proj) { + `Integer' g + `Vector' rand + if (args()<4 | get_proj==.) get_proj = 0 + rand = sort( ( (1::S.G) , uniform(S.G,1) ) , 2 )[.,1] + ans = y - S.project_one_fe(y, rand[1]) + for (g=2; g<=S.G; g++) { + ans = ans - S.project_one_fe(ans, rand[g]) + } + for (g=S.G-1; g>=1; g--) { + ans = ans - S.project_one_fe(ans, rand[g]) + } + if (get_proj) ans = y - ans +} + +// -------------------------------------------------------------------------- + + `Void' function transform_sym_kaczmarz(`FixedEffects' S, `Variables' y, `Variables' ans,| `Boolean' get_proj) { + `Integer' g + if (args()<4 | get_proj==.) get_proj = 0 + if (S.timeit) timer_on(72) + ans = y - S.project_one_fe(y, 1) + if (S.timeit) timer_off(72) + for (g=2; g<=S.G; g++) { + if (S.timeit) timer_on(72) + ans = ans - S.project_one_fe(ans, g) + if (S.timeit) timer_off(72) + } + for (g=S.G-1; g>=1; g--) { + if (S.timeit) timer_on(72) + ans = ans - S.project_one_fe(ans, g) + if (S.timeit) timer_off(72) + } + if (get_proj) ans = y - ans +} +end diff --git a/30/replication_package/Data/AnalysisData/bills_analysis_101-111_replication.csv b/30/replication_package/Data/AnalysisData/bills_analysis_101-111_replication.csv new file mode 100644 index 0000000000000000000000000000000000000000..50601b56eb5de8f818d1539bc549cbca5f6ae37a --- /dev/null +++ b/30/replication_package/Data/AnalysisData/bills_analysis_101-111_replication.csv @@ -0,0 +1,3 @@ +version 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a/30/replication_package/Data/RawData/votes_rollcall_analysis_102-111_clean.dta b/30/replication_package/Data/RawData/votes_rollcall_analysis_102-111_clean.dta new file mode 100644 index 0000000000000000000000000000000000000000..85363c9cec4d24c25d922fc6440b80c5816b1068 --- /dev/null +++ b/30/replication_package/Data/RawData/votes_rollcall_analysis_102-111_clean.dta @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a1765b0fa10ac5c47db0317694dae15c251103732197689ebfefe2b5c4ce0a01 +size 9097738 diff --git a/30/replication_package/Dofiles/002_prepare_data_full.do b/30/replication_package/Dofiles/002_prepare_data_full.do new file mode 100644 index 0000000000000000000000000000000000000000..d42278b9d8eb87a69d12a42cf38754213fe3019c --- /dev/null +++ b/30/replication_package/Dofiles/002_prepare_data_full.do @@ -0,0 +1,638 @@ +* LAST CHANGED: DP March 2021 + +clear + +set mem 500m +set more off +set logtype text +set matsize 100 + +cap log close +log using "$Log/002_prepare_data_full.log", replace + + +* Outline: +* (1) Use the clean data, get the data into shape for analysis + +* (1a) Use the Clean Cosponsor Data, add to it individual and district characteristics +use "$RawData/Cosponsors_Clean.dta", clear +sort v2 state_abbrev district term_served +merge v2 state_abbrev district term_served using "$RawData/IndividualCharacteristics_Clean.dta", /* +*/ keep(v2 state_abbrev state_icpsr district term_served name_clean v1_fix female party age tenure_run pus comc comr dwnom1 dwnom2 /* +*/ borninstate agestart privatesec anycoll namedcoll ivycoll statecoll anygrad jd mba phd military /* +*/ occ0 occ1 occ2 occ3 occ4 occ5 occ6 DSpndPct DDonaPct CQRating3 CQRating3_01 black native asian latino) +tab _merge +drop if _merge==2 +drop _merge + +gen DSpndPct_miss=DSpndPct==. +replace DSpndPct=50 if DSpndPct==. + +sort v2 state_abbrev district term_served +merge v2 state_abbrev district term_served using "$RawData/Committee_Clean.dta", /* +*/ keep(c_*) +tab _merge +drop _merge + +sort v2 state_abbrev district +merge v2 state_abbrev district using "$RawData/DistrictCharacteristics_Clean.dta", /* +*/ keep(v2 state_abbrev district losing_candidate_clean_cqq losing_candidate_gender mixed_gender_election /* +*/ sample1 demshare1 repshare1 MV1_democrat tot_pop pct_age_over65 pct_black pct_for_born pct_urban med_inc_all lnpop lnarea lninc /* +*/ charisma_dem predicted_dem rep_incumbent_cqq dem_incumbent_cqq minor_incumbent_cqq lag_demshare1) +tab _merge +drop _merge + +foreach var of varlist state_abbrev state_icpsr district term_served name_clean v1_fix female party age tenure_run pus comc comr dwnom1 dwnom2 /* +*/ losing_candidate_clean_cqq losing_candidate_gender mixed_gender_election /* +*/ sample1 demshare1 repshare1 MV1_democrat charisma_dem predicted_dem /* +*/ tot_pop pct_age_over65 pct_black pct_for_born pct_urban med_inc_all lnpop lnarea lninc /* +*/ rep_incumbent_cqq dem_incumbent_cqq minor_incumbent_cqq lag_demshare1 /* +*/ borninstate agestart privatesec anycoll namedcoll ivycoll statecoll anygrad jd mba phd military /* +*/ occ0 occ1 occ2 occ3 occ4 occ5 occ6 DSpndPct DSpndPct_miss DDonaPct CQRating3 CQRating3_01 c_* black native asian latino { + ren `var' cosp_`var' +} + +foreach name in "state_abbrev" "state_icpsr" "district" "term_served" "v1_fix" "age" "female" "tenure_run" "party" { + ren cosp_`name' cosponsor_`name' // this to be consistent with previous code +} + +egen cosponsor_v1_flex=group(cosponsor_v1_fix v2) + +sort v2 HRnumber +save "$IntermediateData/CosponsorsWithInfo_Clean_v2.dta", replace + + + +* (1b) Use the Clean Bill data, add to it individual and district characteristics +clear +use "$RawData/BillCharacteristics_Clean.dta", clear +sort v2 state_abbrev district term_served +merge v2 state_abbrev district term_served using "$RawData/IndividualCharacteristics_Clean.dta", /* +*/ keep(v2 state_abbrev state_icpsr district term_served name_clean v1_fix female party age pus tenure_run comc comr dwnom1 dwnom2 /* +*/ borninstate agestart privatesec anycoll namedcoll ivycoll statecoll anygrad jd mba phd military /* +*/ occ0 occ1 occ2 occ3 occ4 occ5 occ6 DSpndPct DDonaPct CQRating3 CQRating3_01 black native asian latino) +tab _merge +drop if _merge==2 +drop _merge + +merge m:1 v2 state_abbrev district term_served using "$RawData/PrimaryElections.dta", keepusing(v2 state_abbrev district term_served mixed_gender_primary MVprim_female) +compress + +drop if _merge==2 +drop _merge + + +gen DSpndPct_miss=DSpndPct==. +replace DSpndPct=50 if DSpndPct==. + +sort v2 state_abbrev district term_served +merge v2 state_abbrev district term_served using "$RawData/Committee_Clean.dta", /* +*/ keep(c_*) +tab _merge +drop _merge + +sort v2 state_abbrev district +merge v2 state_abbrev district using "$RawData/DistrictCharacteristics_Clean.dta", /* +*/ keep(v2 state_abbrev district sample1 republican democratic minor1_vote /* +*/ demshare1 repshare1 MV1_democrat mixed_gender_election /* +*/ losing_candidate_clean_cqq losing_candidate_gender /* +*/ tot_pop pct_age_over65 pct_black pct_for_born pct_urban med_inc_all lnpop lnarea lninc/* +*/ charisma_dem predicted_dem rep_incumbent_cqq dem_incumbent_cqq minor_incumbent_cqq lag_demshare1) +tab _merge +drop _merge + +******************************************************************************* +* IMPORTANT ADDITION (DANIELE, 2013/06/04): Keep only non-private bills +count +keep if private==0 +count +******************************************************************************* + + +keep v2 HRnumber state_abbrev state_icpsr district term_served name_clean sponsor v1_fix intro_date /* +*/ numb_cosponsors numb_committees_master plaw_master lma_date iter_length mult commem house_* /* +*/ major minor passh passs plaw_cbp plawdate female party age pus tenure_run /* +*/ comc comr dwnom1 dwnom2 republican democratic minor1_vote losing_candidate_clean_cqq /* +*/ losing_candidate_gender mixed_gender_election sample1 demshare1 repshare1 MV1_democrat /* +*/ tot_pop pct_age_over65 pct_black pct_urban pct_for_born med_inc_all lnpop lnarea lninc /* +*/ charisma_dem predicted_dem rep_incumbent_cqq dem_incumbent_cqq minor_incumbent_cqq lag_demshare1 private /* +*/ borninstate agestart privatesec anycoll namedcoll ivycoll statecoll anygrad jd mba phd military /* +*/ occ0 occ1 occ2 occ3 occ4 occ5 occ6 DSpndPct DSpndPct_miss DDonaPct CQRating3 CQRating3_01 c_* /* +*/ black native asian latino mixed_gender_primary MVprim_female + + + +sort v2 HRnumber +merge v2 HRnumber using "$IntermediateData/CosponsorsWithInfo_Clean_v2.dta" +tab _merge +drop _merge + +gen int sponsor_party = party +gen byte sponsor_female = female +gen byte sponsor_tenure_run = tenure_run +gen byte sponsor_age = age +gen str2 sponsor_state_abbrev = state_abbrev +gen sponsor_state_icpsr = state_icpsr +gen int sponsor_district = district +gen byte sponsor_term_served = term_served +gen sponsor_v1_fix = v1_fix + + + +* Identify bills cosponsored by the opposite party +gen byte cosponsor_opposite_party = (cosponsor_party==100 & sponsor_party==200) | (cosponsor_party==200 & sponsor_party==100) if sponsor_party~=. & cosponsor_party~=. +egen numb_cosponsors_opposite = sum(cosponsor_opposite_party), by(v2 HRnumber) +gen pct_cosponsors_opposite = numb_cosponsors_opposite/(numb_cosponsors) + +egen tag_bill = tag(v2 HRnumber) + +* calculate number of bills cosponsored +egen nbills_cosponsored = count(HRnumber), by(v2 cosponsor_state_abbrev cosponsor_district cosponsor_term_served) + +egen nbills_cosponsored_opposite = sum(cosponsor_opposite_party), by(v2 cosponsor_state_abbrev cosponsor_district cosponsor_term_served) +gen pctbills_cosponsored_opposite = nbills_cosponsored_opposite/(nbills_cosponsored) + + +egen tag_cosponsor = tag(v2 cosponsor_state_abbrev cosponsor_district cosponsor_term_served) +egen tag_sponsor = tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) + + +compress + + + +********************************************************************************************************* + +* (1) Create the RD forcing variable for sponsors and cosponsors + + +* (1a) Create RD forcing variables for sponsors... +gen MV1_female = MV1_democrat if sponsor_party==100 & sponsor_female==1 & mixed_gender_election==1 +replace MV1_female = -MV1_democrat if sponsor_party==200 & sponsor_female==1 & mixed_gender_election==1 +replace MV1_female = MV1_democrat if sponsor_party==200 & sponsor_female==0 & mixed_gender_election==1 +replace MV1_female = -MV1_democrat if sponsor_party==100 & sponsor_female==0 & mixed_gender_election==1 + + + + +*****UPDATE, FEBRUARY 2014 +gen charisma_winner = charisma_dem if sponsor_party==100 +replace charisma_winner = -charisma_dem if sponsor_party==200 + +gen predicted_winner = predicted_dem if sponsor_party==100 +replace predicted_winner = 1-predicted_dem if sponsor_party==200 + +*************************************************** + + + + +drop if sponsor=="Rep Herseth, Stephanie" | cosponsor=="Rep Herseth, Stephanie" + +replace MV1_female = 100*MV1_female +label var MV1_female "Margin victory female sponsor" + +* interactions between gender dummy and RD forcing variable +gen femaleXMV1_female=sponsor_female*MV1_female +forvalues j = 2/4{ + gen MV1_female__`j' = MV1_female^`j' + gen femaleXMV1_female__`j' = sponsor_female*MV1_female__`j' +} + + +* (1b) Create RD forcing variables for cosponsors... +gen cosp_MV1_female = cosp_MV1_democrat if cosponsor_party==100 & cosponsor_female==1 & cosp_mixed_gender_election==1 +replace cosp_MV1_female = -cosp_MV1_democrat if cosponsor_party==200 & cosponsor_female==1 & cosp_mixed_gender_election==1 +replace cosp_MV1_female = cosp_MV1_democrat if cosponsor_party==200 & cosponsor_female==0 & cosp_mixed_gender_election==1 +replace cosp_MV1_female = -cosp_MV1_democrat if cosponsor_party==100 & cosponsor_female==0 & cosp_mixed_gender_election==1 + +replace cosp_MV1_female = 100*cosp_MV1_female +label var cosp_MV1_female "Margin victory female cosponsor" + +*****UPDATE, FEBRUARY 2014 +gen cosp_charisma_winner = cosp_charisma_dem if cosponsor_party==100 +replace cosp_charisma_winner = -cosp_charisma_dem if cosponsor_party==200 + +gen cosp_predicted_winner = cosp_predicted_dem if cosponsor_party==100 +replace cosp_predicted_winner = 1-cosp_predicted_dem if cosponsor_party==200 + +*************************************************** + + + + +* interactions between gender dummy and RD forcing variable +gen femaleXcosp_MV1_female=cosponsor_female*cosp_MV1_female +forvalues j = 2/4 { + gen cosp_MV1_female__`j' = cosp_MV1_female^`j' + gen femaleXcosp_MV1_female__`j' = cosponsor_female*cosp_MV1_female__`j' +} + +* discretize running variable +gen MV1_female_bins = int(MV1_female)+0.5 if MV1_female>0 & MV1_female~=. +replace MV1_female_bins = int(MV1_female)-0.5 if MV1_female<0 & MV1_female~=. + +gen MV1_female_bins2 = 2*int(MV1_female/2)+1 if MV1_female>0 & MV1_female~=. +replace MV1_female_bins2 = 2*int(MV1_female/2)-1 if MV1_female<0 & MV1_female~=. + +gen cosp_MV1_female_bins = int(cosp_MV1_female)+.5 if cosp_MV1_female>0 & cosp_MV1_female~=. +replace cosp_MV1_female_bins = int(cosp_MV1_female)-0.5 if cosp_MV1_female<0 & cosp_MV1_female~=. + +gen cosp_MV1_female_bins2 = 2*int(cosp_MV1_female/2)+1 if cosp_MV1_female>0 & cosp_MV1_female~=. +replace cosp_MV1_female_bins2 = 2*int(cosp_MV1_female/2)-1 if cosp_MV1_female<0 & cosp_MV1_female~=. + +* these two variables may come in handy later +gen byte sponsor_democrat = sponsor_party==100 +gen MV1_democratXsponsor_democrat = MV1_democrat*sponsor_democrat + + +* NEW OUTCOMES * + +* identify bills cosponsored by women, and by women of the opposite party +gen byte cosponsor_fem = (cosponsor_female==1) if cosponsor_female~=. +egen numb_cosponsors_fem = sum(cosponsor_fem), by(v2 HRnumber) +gen pct_cosponsors_fem = numb_cosponsors_fem/(numb_cosponsors) + +gen byte cosponsor_fem_opposite = (cosponsor_party==100 & sponsor_party==200 & cosponsor_female==1) | (cosponsor_party==200 & sponsor_party==100 & cosponsor_female==1) if sponsor_party~=. & cosponsor_party~=. & cosponsor_female~=. +egen numb_cosponsors_fem_opposite = sum(cosponsor_fem_opposite), by(v2 HRnumber) +gen pct_cosponsors_fem_opposite = numb_cosponsors_fem_opposite/(numb_cosponsors) + +gen byte cosponsor_male_sp = (cosponsor_party==100 & sponsor_party==100 & cosponsor_female==0) | (cosponsor_party==200 & sponsor_party==200 & cosponsor_female==0) if sponsor_party~=. & cosponsor_party~=. & cosponsor_female~=. +egen numb_cosponsors_male_sp = sum(cosponsor_male_sp), by(v2 HRnumber) +gen pct_cosponsors_male_sp = numb_cosponsors_male_sp/(numb_cosponsors) + +* identify cosponsored bills by women, and women of opposite party +egen nbills_cosponsored_fem = sum(sponsor_female), by(v2 cosponsor_state_abbrev cosponsor_district cosponsor_term_served) +gen pctbills_cosponsored_fem = nbills_cosponsored_fem/(nbills_cosponsored) + +gen byte sponsor_female_opposite = (cosponsor_party==100 & sponsor_party==200 & sponsor_female==1) | (cosponsor_party==200 & sponsor_party==100 & sponsor_female==1) if sponsor_party~=. & cosponsor_party~=. & sponsor_female~=. +egen nbills_cosponsored_fem_opp = sum(sponsor_female_opposite), by(v2 cosponsor_state_abbrev cosponsor_district cosponsor_term_served) +gen pctbills_cosponsored_fem_opp = nbills_cosponsored_fem_opp/(nbills_cosponsored) + +* identify variance/sd/distance in DW among cosponsors +egen sd_cosp_dwnom1_nospons = sd(cosp_dwnom1), by(v2 HRnumber) +replace sd_cosp_dwnom1_nospons = . if numb_cosponsors==0 +gen var_cosp_dwnom1_nospons = sd_cosp_dwnom1_nospons^2 +replace var_cosp_dwnom1_nospons = . if numb_cosponsors==0 +egen m_cosp_dwnom1_nospons=mean(cosp_dwnom1), by(v2 HRnumber) +replace m_cosp_dwnom1_nospons = . if numb_cosponsors==0 +gen a_cosp_dwnom1=abs(cosp_dwnom1) +egen ma_cosp_dwnom1_nospons=mean(a_cosp_dwnom1), by(v2 HRnumber) +replace ma_cosp_dwnom1_nospons = . if numb_cosponsors==0 +gen d_cosp_dwnom1=cosp_dwnom1-dwnom1 +egen md_cosp_dwnom1_nospons=mean(d_cosp_dwnom1), by(v2 HRnumber) +replace md_cosp_dwnom1_nospons = . if numb_cosponsors==0 +gen ad_cosp_dwnom1=abs(cosp_dwnom1-dwnom1) +egen mad_cosp_dwnom1_nospons=mean(d_cosp_dwnom1), by(v2 HRnumber) +replace mad_cosp_dwnom1_nospons = . if numb_cosponsors==0 +drop a_cosp_dwnom1 d_cosp_dwnom1 ad_cosp_dwnom1 + +expand 2, gen(new) +bysort v2 HRnumber new: gen counter=_n +drop if new==1 & counter!=1 +replace cosp_dwnom1=dwnom1 if new==1 +egen sd_cosp_dwnom1_spons = sd(cosp_dwnom1), by(v2 HRnumber) +replace sd_cosp_dwnom1_spons = 0 if numb_cosponsors==0 +gen var_cosp_dwnom1_spons = sd_cosp_dwnom1_spons^2 +replace var_cosp_dwnom1_spons = 0 if numb_cosponsors==0 +egen m_cosp_dwnom1_spons=mean(cosp_dwnom1), by(v2 HRnumber) +*replace m_cosp_dwnom1_spons = . if numb_cosponsors==0 +gen a_cosp_dwnom1=abs(cosp_dwnom1) +egen ma_cosp_dwnom1_spons=mean(a_cosp_dwnom1), by(v2 HRnumber) +*replace ma_cosp_dwnom1_spons = . if numb_cosponsors==0 +gen d_cosp_dwnom1=cosp_dwnom1-dwnom1 +egen md_cosp_dwnom1_spons=mean(d_cosp_dwnom1), by(v2 HRnumber) +replace md_cosp_dwnom1_spons = 0 if numb_cosponsors==0 +gen ad_cosp_dwnom1=abs(cosp_dwnom1-dwnom1) +egen mad_cosp_dwnom1_spons=mean(d_cosp_dwnom1), by(v2 HRnumber) +replace mad_cosp_dwnom1_spons = 0 if numb_cosponsors==0 +drop a_cosp_dwnom1 d_cosp_dwnom1 ad_cosp_dwnom1 + +drop if new==1 +drop new counter + +* add network measures +merge m:1 v2 cosponsor_state_abbrev cosponsor_district cosponsor_term_served using "$RawData/CentralityMeasures_all.dta", keep(master matched) keepusing(degree closeness betweenness eigenvector closeness_w betweenness_w eigenvector_w) +drop _m +foreach var of varlist degree closeness betweenness eigenvector closeness_w betweenness_w eigenvector_w { + rename `var' cosponsor_`var' + egen m_`var'_nospons = mean(cosponsor_`var'), by(v2 HRnumber) + replace m_`var'_nospons=. if numb_cosponsors==0 +} + +expand 2, gen(new) +bysort v2 HRnumber new: gen counter=_n +drop if new==1 & counter!=1 +merge m:1 v2 sponsor_state_abbrev sponsor_district sponsor_term_served using "$RawData/CentralityMeasures_all.dta", keep(master matched) keepusing(degree closeness betweenness eigenvector closeness_w betweenness_w eigenvector_w) +drop _m +foreach var of varlist degree closeness betweenness eigenvector closeness_w betweenness_w eigenvector_w { + replace cosponsor_`var'=`var' if new==1 + egen m_`var'_spons = mean(cosponsor_`var'), by(v2 HRnumber) +* replace m_`var'_spons=. if numb_cosponsors==0 + drop `var' cosponsor_`var' +} + +drop if new==1 +drop new counter + + + +**************************************************************************************** +***** UPDATE, FEBRUARY 2014: Create some additional variables measuring the characteristics of cosponsors + +* identify whether cosponsor is committee chair or committee ranking members +gen byte cosponsor_leader = (cosp_comc==1) | (cosp_comr==1) if cosp_comc~=. & cosp_comr~=. +egen numb_cosponsors_leader = sum(cosponsor_leader), by(v2 HRnumber) +gen pct_cosponsors_leader = numb_cosponsors_leader/(numb_cosponsors) + +* Calculate average tenure and age of cosponsors, pct of cosponsors that are rookies +egen avgtenure_cosponsors = mean(cosponsor_tenure_run), by(v2 HRnumber) +egen avgage_cosponsors = mean(cosponsor_age), by(v2 HRnumber) + +gen byte cosponsor_rookie=(cosponsor_tenure_run==1) if cosponsor_tenure_run!=. +gen byte cosponsor_tenure_24 = cosponsor_tenure_run>=2 & cosponsor_tenure_run<=4 if cosponsor_tenure_run~=. +gen byte cosponsor_tenure_59 = cosponsor_tenure_run>=5 & cosponsor_tenure_run<=9 if cosponsor_tenure_run~=. +gen byte cosponsor_tenure_10plus = cosponsor_tenure_run>=10 if cosponsor_tenure_run~=. +gen diff=date_cosponsored-intro_date if date_cosponsored!=. & intro_date!=. +replace diff=. if diff<0 & diff!=. +gen byte cosponsor_samedate=(diff<=0) if diff!=. +gen byte cosponsor_samedate_opp=cosponsor_samedate*cosponsor_opposite +gen byte cosponsor_samedate_fem=cosponsor_samedate*cosponsor_female + +foreach type in "rookie" "tenure_24" "tenure_59" "tenure_10plus" "samedate" "samedate_opp" "samedate_fem" { + egen numb_cosponsors_`type' = sum(cosponsor_`type'), by(v2 HRnumber) + gen pct_cosponsors_`type' = numb_cosponsors_`type'/(numb_cosponsors) +} + +**************************************************************************************** + + +**************************************************************************************** +* MODIFIED BY DANIELE , 2013.06.04 + +* Identify women-friendly bills +* Three definition of Women-Friendly Bills: + +* women_friend1: Based on 6 major categories (subjectively defined) +* women_friend2: identify minor topics where the fraction of female *cosponsors* is above some threshold (which threshold?) +* Women_friend3: identify minor topics in which the fraction of female *sponsors* is above the 80th percentile + + +* women_friend1: Based on 6 major categories (subjectively defined) +gen women_friend1=(major==2 | major==3 | major==5 | major==6 | major==12 | major==13) if major!=. +label var women_friend1 "1 if CR, HE, LA, ED, LAW, SW" +/* +1. Macroeconomics +2. Civil Rights, Minority Issues, and Civil Liberties +3. Health +4. Agriculture +5. Labor, Employment, and Immigration +6. Education +7. Environment +8. Energy +10. Transportation +12. Law, Crime, and Family Issues +13. Social Welfare +14. Community Development and Housing Issues +15. Banking, Finance, and Domestic Commerce +16. Defense +17. Space, Science, Technology and Communications +18. Foreign Trade +19. International Affairs and Foreign Aid +20. Government Operations +21. Public Lands and Water Management +*/ + +* women_friend2: identify minor topics where the fraction of female *cosponsors* is above the 75th percentile +* Important: the 75th percentile means the 75th percentile of the distribution of minor topics (227 observations overall) +egen tag_minor = tag(minor) + +egen x = mean(pct_cosponsors_fem) if tag_bill==1, by(minor) +egen pct_cosponsors_fem_minor = mean(x), by(v2 HRnumber) /* assign thie number you just calculated to every observation */ +sum pct_cosponsors_fem_minor if tag_minor==1, d +gen byte women_friend2 = (pct_cosponsors_fem_minor)>r(p75) if pct_cosponsors_fem_min~=. +drop x +label var women_friend2 "1 if topic where fraction of F *cosp* > 75th pctile" + +* women_friend3: identify minor topics in which the fraction of female *sponsors* is above the 75th percentile +egen x = mean(sponsor_female) if tag_bill==1, by(minor) +egen pct_sponsors_fem_min = mean(x), by(v2 HRnumber) +sum pct_sponsors_fem_min if tag_minor==1, d +gen byte women_friend3 = (pct_sponsors_fem_min)>r(p75) if pct_sponsors_fem_min~=. +label var women_friend3 "1 if topic where fraction of F *sponsors* > 75th pctile" +drop x +**************************************************************************************** + + +* identify cosponsored women-friendly bills by the opposite party, and by women +forvalues j = 1/3 { + * identify the number of women-friendly bills cosponsored + egen x = count(HRnumber) if women_friend`j'==1, by(v2 cosponsor_state_abbrev cosponsor_district cosponsor_term_served) + bysort v2 cosponsor_state_abbrev cosponsor_district cosponsor_term_served: egen nwfbills_cosponsored`j'=max(x) + replace nwfbills_cosponsored`j'=0 if nwfbills_cosponsored`j'==. + drop x + + * calculate the percentage of women_friendly bills cosponsored that were sponsored by the opposite party, + * out of the total number of women-friendly bills cosponsored + egen x = sum(cosponsor_opposite_party) if women_friend`j'==1, by(v2 cosponsor_state_abbrev cosponsor_district cosponsor_term_served) + bysort v2 cosponsor_state_abbrev cosponsor_district cosponsor_term_served: egen nwfbills_cosponsored_opposite`j'=max(x) + replace nwfbills_cosponsored_opposite`j'=0 if nwfbills_cosponsored_opposite`j'==. + drop x + gen pctwfbills_cosponsored_opposite`j' = nwfbills_cosponsored_opposite`j'/(nwfbills_cosponsored`j') + + * calculate the percentage of women_friendly bills cosponsored that were sponsored by a female, + * out of the total number of women-friendly bills cosponsored + egen x = sum(sponsor_female) if women_friend`j'==1, by(v2 cosponsor_state_abbrev cosponsor_district cosponsor_term_served) + bysort v2 cosponsor_state_abbrev cosponsor_district cosponsor_term_served: egen nwfbills_cosponsored_female`j'=max(x) + replace nwfbills_cosponsored_female`j'=0 if nwfbills_cosponsored_female`j'==. + drop x + gen pctwfbills_cosponsored_female`j' = nwfbills_cosponsored_female`j'/(nwfbills_cosponsored`j') + + * calculate the percentage of women_friendly bills cosponsored that were sponsored by a female opposite, + * out of the total number of women-friendly bills cosponsored + egen x = sum(sponsor_female_opp) if women_friend`j'==1, by(v2 cosponsor_state_abbrev cosponsor_district cosponsor_term_served) + bysort v2 cosponsor_state_abbrev cosponsor_district cosponsor_term_served: egen nwfbills_cosponsored_femopp`j'=max(x) + replace nwfbills_cosponsored_femopp`j'=0 if nwfbills_cosponsored_femopp`j'==. + drop x + gen pctwfbills_cosponsored_femopp`j' = nwfbills_cosponsored_femopp`j'/(nwfbills_cosponsored`j') +} +**************************************************************************************** + +**************************************************************************************** +*** UPDATE, FEBRUARY 2014: Some measures of network +*** Can probably be done a lot better + +* Calculate the number of different cosponsors had per congress +* This is done in a bit of a roundabout way +sort sponsor v2 sponsor_state_abbrev sponsor_district sponsor_term_served cosponsor_v1_fix +by sponsor v2 sponsor_state_abbrev sponsor_district sponsor_term_served: gen byte x = 1 if cosponsor_v1_fix~=cosponsor_v1_fix[_n-1] & cosponsor_v1_fix~=. +sort sponsor v2 sponsor_state_abbrev sponsor_district sponsor_term_served x cosponsor_v1_fix +by sponsor v2 sponsor_state_abbrev sponsor_district sponsor_term_served: replace x = x[_n-1]+1 if x~=. & _n>=2 +sort sponsor v2 sponsor_state_abbrev sponsor_district sponsor_term_served cosponsor_v1_fix x +by sponsor v2 sponsor_state_abbrev sponsor_district sponsor_term_served: replace x = x[_n-1] if x==. & x[_n-1]~=. +egen sponsor_ndistinct_cosponsors = max(x), by(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) + +egen sponsor_total_cosponsors = count(cosponsor_v1_fix), by(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +gen sponsor_distinctbytotal = sponsor_ndistinct_cosponsors/sponsor_total_cosponsors + +gen byte cons=1 +egen nbills_with_cosponsor = count(cons), by(sponsor v2 sponsor_state_abbrev sponsor_district sponsor_term_served cosponsor_v1_fix) +gen cosponsor_share_sq= (nbills_with_cosponsor/sponsor_total_cosponsors)^2 +egen tag_pair = tag(sponsor v2 sponsor_state_abbrev sponsor_district sponsor_term_served cosponsor_v1_fix) +egen y = sum(cosponsor_share_sq) if tag_pair==1, by(sponsor v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +egen sponsor_herfindahl = mean(y), by(sponsor v2 sponsor_state_abbrev sponsor_district sponsor_term_served) + +drop x y cons tag_pair cosponsor_share_sq nbills_with_cosponsor +**************************************************************************************** + + + + + +**************************************************************************************** +*** UPDATE, FEBRUARY 2014: Identify which bills made it to the floor +* Identify which bills got to the floor +preserve +drop _all +use "$RawData/votes_rollcall_analysis_102-111_clean.dta", clear +egen tag_bill2 = tag(v2 b_HRnumber) +keep if tag_bill2==1 +keep v2 b_HRnumber +ren b_HRnumber HRnumber +gen byte reached_floor = 1 +sort v2 HRnumber +save "$IntermediateData/reached_floor_102-111_clean.dta", replace +restore + +sort v2 HRnumber +merge v2 HRnumber using "$IntermediateData/reached_floor_102-111_clean.dta" +tab _merge +drop _merge +replace reached_floor = 0 if reached_floor==. & v2>=102 +**************************************************************************************** + + + +* save datasets +preserve +keep v2 sponsor_state_abbrev sponsor_district sponsor_term_served cosponsor_state_abbrev cosponsor_district cosponsor_term_served +egen tag_sponsor_cosponsor=tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served cosponsor_state_abbrev cosponsor_district cosponsor_term_served) +keep if tag_sponsor_cosponsor==1 +foreach var of varlist cosponsor_state_abbrev cosponsor_district cosponsor_term_served { + rename `var' `var'2 +} +foreach var of varlist sponsor_state_abbrev sponsor_district sponsor_term_served { + rename `var' co`var' +} +compress +drop tag_sponsor_cosponsor +save "$IntermediateData/cosponsors_names_101-111_clean.dta", replace +restore + + +preserve +merge m:m v2 cosponsor_state_abbrev cosponsor_district cosponsor_term_served using "$AnalysisData/cosponsors_names_101-111_clean.dta", keep(master matched) +gen cross=sponsor_state_abbrev==cosponsor_state_abbrev2 & sponsor_district==cosponsor_district2 & sponsor_term_served==cosponsor_term_served2 +gen cross_opp=sponsor_state_abbrev==cosponsor_state_abbrev2 & sponsor_district==cosponsor_district2 & sponsor_term_served==cosponsor_term_served2 & [sponsor_party==100 & cosponsor_party==200 | sponsor_party==200 & cosponsor_party==100] +egen tag_cosponsor2=tag(v2 HRnumber cosponsor_state_abbrev cosponsor_district cosponsor_term_served) +replace cross=cross*tag_cosponsor2 +bysort v2 HRnumber sponsor_state_abbrev sponsor_district sponsor_term_served: egen numb_cosponsors_cross=sum(cross) +replace numb_cosponsors_cross=. if numb_cosponsors==. +replace cross_opp=cross_opp*tag_cosponsor2 +bysort v2 HRnumber sponsor_state_abbrev sponsor_district sponsor_term_served: egen numb_cosponsors_cross_opp=sum(cross_opp) +replace numb_cosponsors_cross_opp=. if numb_cosponsors==. +drop tag_bill tag_cosponsor2 +egen tag_bill = tag(v2 HRnumber) +keep if tag_bill==1 +keep v2 HRnumber /* +*/ name_clean sponsor sponsor_female sponsor_tenure_run sponsor_age sponsor_party /* +*/ sponsor_state_abbrev sponsor_state_icpsr sponsor_district sponsor_term_served sponsor_v1_fix /* +*/ comc comr dwnom1 dwnom2 pus /* +*/ borninstate agestart privatesec anycoll namedcoll ivycoll statecoll anygrad jd mba phd military /* +*/ occ0 occ1 occ2 occ3 occ4 occ5 occ6 DSpndPct DSpndPct_miss DDonaPct CQRating3 CQRating3_01 /* +*/ pct_cosponsors_opposite numb_cosponsors_opposite numb_cosponsors /* +*/ pct_cosponsors_leader numb_cosponsors_leader /* +*/ avgtenure_cosponsors avgage_cosponsors /* +*/ numb_cosponsors_rookie numb_cosponsors_tenure_24 numb_cosponsors_tenure_59 numb_cosponsors_tenure_10plus numb_cosponsors_samedate /* +*/ pct_cosponsors_rookie pct_cosponsors_tenure_24 pct_cosponsors_tenure_59 pct_cosponsors_tenure_10plus pct_cosponsors_samedate /* +*/ numb_cosponsors_fem pct_cosponsors_fem numb_cosponsors_fem_opposite pct_cosponsors_fem_opposite numb_cosponsors_male_sp pct_cosponsors_male_sp /* +*/ numb_cosponsors_samedate_opp numb_cosponsors_samedate_fem pct_cosponsors_samedate_opp pct_cosponsors_samedate_fem /* +*/ MV1_female MV1_female__2 MV1_female__3 MV1_female__4 MV1_female_bins MV1_female_bins2 /* +*/ femaleXMV1_female femaleXMV1_female__2 femaleXMV1_female__3 femaleXMV1_female__4 /* +*/ mixed_gender_election republican democratic minor1_vote /* +*/ losing_candidate_clean_cqq losing_candidate_gender sample1 demshare1 repshare1 MV1_democrat /* +*/ intro_date numb_committees_master plaw_master lma_date iter_length mult commem house_* /* +*/ major minor passh passs plaw_cbp plawdate reached_floor /* +*/ tot_pop pct_age_over65 pct_black pct_urban pct_for_born med_inc_all lninc lnpop lnarea /* +*/ charisma_winner charisma_dem predicted_winner predicted_dem/* +*/ rep_incumbent_cqq dem_incumbent_cqq minor_incumbent_cqq lag_demshare1 /* +*/ women_friend1 women_friend2 women_friend3 private c_* numb_cosponsors_cross numb_cosponsors_cross_opp /* +*/ black native asian latino sd_cosp_* var_cosp_* m_cosp_* ma_cosp_* md_cosp_* mad_cosp_* /* +*/ m_degree_* m_betweenness_* m_eigenvector_* m_closeness_w_* mixed_gender_primary MVprim_female + +egen sponsor_v1_flex=group(sponsor_v1_fix v2) + +save "$IntermediateData/bills_analysis_101-111_clean.dta", replace // This smaller sample keeps just one observation per bill, allows to quickly reproduce the regression results +restore + + +preserve +tab minor, gen(minor_) +foreach var of varlist house_* minor_* { + bysort v2 cosponsor_state_abbrev cosponsor_district cosponsor_term_served: egen `var'_m=mean(`var') + drop `var' +} +keep if tag_cosponsor==1 +keep cosponsor v2 cosponsor_state_abbrev cosponsor_state_icpsr cosponsor_district cosponsor_term_served cosponsor_v1_fix /* +*/ cosp_mixed_gender_election cosp_MV1_democrat/* +*/ cosponsor_age cosponsor_female cosponsor_tenure_run cosponsor_party /* +*/ cosp_name_clean cosp_pus cosp_comc cosp_comr cosp_dwnom1 cosp_dwnom2 /* +*/ cosp_losing_candidate_clean_cqq cosp_losing_candidate_gender cosp_mixed_gender_election /* +*/ cosp_sample1 cosp_demshare1 cosp_repshare1 cosp_MV1_democrat /* +*/ cosp_tot_pop cosp_pct_age_over65 cosp_pct_black cosp_pct_urban cosp_pct_for_born cosp_med_inc_all /* +*/ cosp_lninc cosp_lnarea cosp_lnpop /* +*/ cosp_charisma_winner cosp_charisma_dem cosp_predicted_winner cosp_predicted_dem /* +*/ cosp_rep_incumbent_cqq cosp_dem_incumbent_cqq cosp_minor_incumbent_cqq cosp_lag_demshare1 /* +*/ cosp_borninstate cosp_agestart cosp_privatesec cosp_anycoll cosp_namedcoll cosp_ivycoll cosp_statecoll cosp_anygrad cosp_jd cosp_mba cosp_phd /* +*/ cosp_military cosp_occ0 cosp_occ1 cosp_occ2 cosp_occ3 cosp_occ4 cosp_occ5 cosp_occ6 cosp_DSpndPct cosp_DSpndPct_miss cosp_DDonaPct cosp_CQRating3 cosp_CQRating3_01 /* +*/ nbills_cosponsored nbills_cosponsored_opposite pctbills_cosponsored_opposite /* +*/ nbills_cosponsored_fem pctbills_cosponsored_fem nbills_cosponsored_fem_opp pctbills_cosponsored_fem_opp /* +*/ cosp_MV1_female femaleXcosp_MV1_female cosp_MV1_female__2 femaleXcosp_MV1_female__2 /* +*/ cosp_MV1_female__3 femaleXcosp_MV1_female__3 cosp_MV1_female__4 femaleXcosp_MV1_female__4 /* +*/ cosp_MV1_female_bins cosp_MV1_female_bins2 /* +*/ nwfbills_cosponsored* nwfbills_cosponsored_opposite* pctwfbills_cosponsored_opposite* /* +*/ nwfbills_cosponsored_femopp* pctwfbills_cosponsored_femopp* /* +*/ nwfbills_cosponsored_female* pctwfbills_cosponsored_female* cosp_c_* cosp_black cosp_native cosp_asian cosp_latino /* +*/ house_* minor_* + +egen cosponsor_v1_flex=group(cosponsor_v1_fix v2) + +save "$IntermediateData/cosponsors_analysis_101-111_clean.dta", replace // keep this smaller dataset that can allow quick reproduction of the regressions in table 2 +restore + +preserve +keep if tag_sponsor==1 +keep v2 sponsor_state_abbrev sponsor_district sponsor_term_served /* +*/ name_clean sponsor sponsor_female sponsor_tenure_run sponsor_age sponsor_party /* +*/ sponsor_state_icpsr sponsor_v1_fix /* +*/ comc comr dwnom1 dwnom2 pus /* +*/ borninstate agestart privatesec anycoll namedcoll ivycoll statecoll anygrad jd mba phd military /* +*/ occ0 occ1 occ2 occ3 occ4 occ5 occ6 DSpndPct DSpndPct_miss DDonaPct CQRating3 CQRating3_01 /* +*/ MV1_female MV1_female__2 MV1_female__3 MV1_female__4 MV1_female_bins MV1_female_bins2 /* +*/ femaleXMV1_female femaleXMV1_female__2 femaleXMV1_female__3 femaleXMV1_female__4 /* +*/ mixed_gender_election republican democratic minor1_vote /* +*/ losing_candidate_clean_cqq losing_candidate_gender sample1 demshare1 repshare1 MV1_democrat /* +*/ tot_pop pct_age_over65 pct_black pct_urban pct_for_born med_inc_all lninc lnarea lnpop /* +*/ charisma_winner charisma_dem predicted_winner predicted_dem/* +*/ rep_incumbent_cqq dem_incumbent_cqq minor_incumbent_cqq lag_demshare1 /* +*/ sponsor_ndistinct_cosponsors sponsor_total_cosponsors sponsor_distinctbytotal sponsor_herfindahl c_* /* +*/ black native asian latino mixed_gender_primary MVprim_female + +egen sponsor_v1_flex=group(sponsor_v1_fix v2) + +save "$IntermediateData/sponsors_analysis_101-111_clean.dta", replace // keep this smaller dataset that can allow quick reproduction of the regressions in table 2 +restore + + + +log close diff --git a/30/replication_package/Dofiles/003_prepare_data_replication.do b/30/replication_package/Dofiles/003_prepare_data_replication.do new file mode 100644 index 0000000000000000000000000000000000000000..773916b210ac2d31af11042e60d2a73d6d2f8fb5 --- /dev/null +++ b/30/replication_package/Dofiles/003_prepare_data_replication.do @@ -0,0 +1,273 @@ +clear +set scheme s1color +set more off +set logtype text + + +cap log close +log using "$Log/003_prepare_data_replication.log", replace + + +******************************************************************************** + +* From the Bills analysis data, make a cleaner data set with only the variables that will be used in the analysis +use "$IntermediateData/bills_analysis_101-111_clean.dta" + +ren sponsor sponsor_name + +* keep only relevant variables +keep private v2 HRnumber sponsor_state_abbrev sponsor_district sponsor_term_served /* +*/ sponsor_name sponsor_female sponsor_party sponsor_age sponsor_tenure_run sponsor_state_icpsr /* +*/ agestart comc comr anycoll ivycoll black occ0 occ1 occ2 occ3 occ4 occ5 occ6 borninstate dwnom1 DSpndPct /* +*/ mixed_gender_election MV1_democrat MV1_female femaleXMV1_female lag_demshare1 lnpop lnarea lninc pct_black pct_urban pct_for_born pct_age_over65 /* +*/ numb_cosponsors numb_cosponsors_opposite pct_cosponsors_opposite plaw_cbp passh women_friend1 women_friend3 minor house_* /* +*/ numb_cosponsors_tenure_59 numb_cosponsors_tenure_10plus numb_cosponsors_fem numb_cosponsors_leader var_cosp_dwnom1_spons m_betweenness_w_spons + +* Order the variables +order private v2 HRnumber sponsor_state_abbrev sponsor_district sponsor_term_served /* +*/ sponsor_name sponsor_female sponsor_party sponsor_age sponsor_tenure_run sponsor_state_icpsr /* +*/ agestart comc comr anycoll ivycoll black occ0 occ1 occ2 occ3 occ4 occ5 occ6 borninstate dwnom1 DSpndPct /* +*/ mixed_gender_election MV1_democrat MV1_female femaleXMV1_female lag_demshare1 lnpop lnarea lninc pct_black pct_urban pct_for_born pct_age_over65 /* +*/ numb_cosponsors numb_cosponsors_opposite pct_cosponsors_opposite plaw_cbp passh women_friend1 women_friend3 minor house_* /* +*/ numb_cosponsors_tenure_59 numb_cosponsors_tenure_10plus numb_cosponsors_fem numb_cosponsors_leader var_cosp_dwnom1_spons m_betweenness_w_spons + + +*label commands +label data "Bill-level data set. Each observation is an individual bill." + +label var HRnumber "Bill H.R. number (B)" +label var sponsor_state_abbrev "Sponsor state - postal code (I)" +label var sponsor_district "Sponsor district (I)" +label var sponsor_term_served "Sponsor order seated (I)" +label var sponsor_name "Sponsor name (Congress.gov) (B)" +label var sponsor_female "1 if sponsor is female (I)" +label var sponsor_party "Sponsor party (I)" +label var sponsor_age "Sponsor age (I)" +label var sponsor_tenure_run "Sponsor tenure in Congress (I)" +label var sponsor_state_icpsr "Sponsor state (ICPSR code) (I)" +label var agestart "Age at start of term (I)" +label var comc "Chair of any committee? (CBP) (I)" +label var comr "Ranking member of any committee (CBP) (I)" +label var anycoll "Any college degree? (ICPSR + congress.gov) (I)" +label var ivycoll "Attended an Ivy League college (ICPSR + congress.gov) (I)" +label var black "1 if black (ICPSR + congress.gov) (I)" +label var occ0 "Last occupation unknown (ICPSR + congress.gov) (I)" +label var occ1 "Last occupation: Education (ICPSR + congress.gov) (I)" +label var occ2 "Last occupation: Lawyer(ICPSR + congress.gov) (I)" +label var occ3 "Last occupation: Professional (ICPSR + congress.gov) (I)" +label var occ4 "Last occupation: Business(ICPSR + congress.gov) (I)" +label var occ5 "Last occupation: Agriculture (ICPSR + congress.gov) (I)" +label var occ6 "Last occupation: Miscellaneous (ICPSR + congress.gov) (I)" +label var borninstate "1 if born in state (ICPSR + congress.gov) (I)" +label var dwnom1 "DW-Nominate, 1st dimension (Poole-Rosenthal) (I)" +label var mixed_gender_election "1 if mixed gender election (D)" +label var MV1_democrat "Margin of victory of the Democratic candidate (D)" +label var MV1_female "Margin of victory of the female candidate in mixed-gender elections (D)" +label var femaleXMV1_female "Sponsor female * MV1_female (D)" +label var lag_demshare1 "Lagged Democratic share (D)" +label var lnpop "ln(population) in cong. district (Scott Adler + Census Summary Files) (D)" +label var lnarea "Ln(area in sq. miles) of cong. district (Scott Adler + Census Summary Files) (D)" +label var lninc "Ln(median family income) of cong. district (Scott Adler + Census Summary Files) (D)" +label var pct_black "% black in cong. district (Scott Adler + Census Summary Files) (D)" +label var pct_urban "% urban in cong. district (Scott Adler + Census Summary Files) (D)" +label var pct_for_born "% foreign born in cong. district (Scott Adler + Census Summary Files) (D)" +label var pct_age_over65 "% age over 65 in cong. district (Scott Adler + Census Summary Files) (D)" +label var numb_cosponsors "Number of cosponsors (B)" +label var numb_cosponsors_opposite "Number of cosponsors of the opposite party(B)" +label var pct_cosponsors_opposite "Percent cosponsors of the opposite party(B)" +label var plaw_cbp "Bill became public law (CBP) (B)" +label var passh "Bill passed the House (CBP) (B)" +label var women_friend1 "1 if CR, HE, LA, ED, LAW, SW (CBP) (B)" +label var women_friend3 "1 if topic where fraction of F *sponsors* > 75th pctile (B)" +label var minor "Minor topic code (CBP) (B)" + +foreach housecomm in "administration" /* +*/ "agriculture" /* +*/ "appropriations" /* +*/ "armedservices" /* +*/ "budget" /* +*/ "dc" /* +*/ "educlabor" /* +*/ "energycommerce" /* +*/ "foreignaffairs" /* +*/ "governmentop" /* +*/ "intelligence" /* +*/ "interior" /* +*/ "judiciary" /* +*/ "mmf" /* +*/ "pocs" /* +*/ "pwt" /* +*/ "rules" /* +*/ "sst" /* +*/ "smallbusi" /* +*/ "soc" /* +*/ "veterans" /* +*/ "waysandmeans" /* +*/ "naturalresources" /* +*/ "bfs" /* +*/ "eeo" /* +*/ "govreform" /* +*/ "ir" /* +*/ "natsecur" /* +*/ "oversight" /* +*/ "resources" /* +*/ "science" /* +*/ "transp" /* +*/ "homeland" { + label var house_`housecomm' "House Committee: `housecomm' (congress.gov) (B)" +} + +label var numb_cosponsors_tenure_59 "Number of cosponsors with tenure 5-9 (number of Congresses) (B)" +label var numb_cosponsors_tenure_10plus "Number of cosponsors with tenure 10+ (number of Congresses) (B)" +label var numb_cosponsors_fem "Number of female cosponsors (B)" +label var numb_cosponsors_leader "Number of cosponsors who are either Committe chairs or ranking members (B)" +label var var_cosp_dwnom1_spons "Variance of DW-Nominate1 among all cosponsors (including sponsor) (B)" +label var m_betweenness_w_spons "Mean weighted betweenness centrality of all cosponsors (including sponsor) (B)" + +compress +save "$AnalysisData/bills_analysis_101-111_replication.dta", replace + +******************************************************************************** +******************************************************************************** +******************************************************************************** +******************************************************************************** + +* From the cosponsors_analysis data, make a cleaner data set with only the variables that will be used in the analysis +use "$IntermediateData/cosponsors_analysis_101-111_clean.dta", clear + +*drop if v2==103 & cosponsor_state_abbrev=="FL" & cosponsor_district==41 /* This Congressional District does not exist */ + +gen cosponsor_name = cosponsor /* Cosponsor name as in congress.gov */ +replace cosponsor_name = cosp_name_clean if cosponsor_name=="" /* If congress.gov name is missing, replace with name from other source */ + +* keep only relevant variables +keep v2 cosponsor_state_abbrev cosponsor_district cosponsor_term_served cosponsor_name cosponsor_v1_fix /* +*/ pctbills_cosponsored_opp nbills_cosponsored_opp nbills_cosponsored /* +*/ cosponsor_female cosponsor_party cosponsor_age cosponsor_tenure_run cosponsor_state_icpsr /* +*/ cosp_comc cosp_comr cosp_ivycoll cosp_black cosp_occ0 cosp_occ1 cosp_occ2 cosp_occ3 cosp_occ4 cosp_occ5 cosp_occ6 /* +*/ cosp_borninstate cosp_dwnom1 cosp_DSpndPct /* +*/ cosp_mixed_gender_election cosp_MV1_democrat cosp_MV1_female femaleXcosp_MV1_female /* +*/ cosp_lnpop cosp_lnarea cosp_lninc cosp_pct_b cosp_pct_u cosp_pct_f cosp_pct_a house_*_m + +* Order the variables +order v2 cosponsor_state_abbrev cosponsor_district cosponsor_term_served cosponsor_name cosponsor_v1_fix/* +*/ pctbills_cosponsored_opp nbills_cosponsored_opp nbills_cosponsored /* +*/ cosponsor_female cosponsor_party cosponsor_age cosponsor_tenure_run cosponsor_state_icpsr /* +*/ cosp_comc cosp_comr cosp_ivycoll cosp_black cosp_occ0 cosp_occ1 cosp_occ2 cosp_occ3 cosp_occ4 cosp_occ5 cosp_occ6 /* +*/ cosp_borninstate cosp_dwnom1 cosp_DSpndPct /* +*/ cosp_mixed_gender_election cosp_MV1_democrat cosp_MV1_female femaleXcosp_MV1_female /* +*/ cosp_lnpop cosp_lnarea cosp_lninc cosp_pct_b cosp_pct_u cosp_pct_f cosp_pct_a house_*_m + + +*label commands +label data "Individual-level data set. Each observation is an individual congress member." + +label var cosponsor_state_abbrev "State - postal code (I)" +label var cosponsor_district "District (I)" +label var cosponsor_term_served "Order seated (I)" +label var cosponsor_name "Name (congress.gov) (I)" +label var cosponsor_v1_fix "Congress member ICPSR code (v1), fixed and updated (I)" +label var pctbills_cosponsored_opposite "Pct. bills cosponsored that were sponsored by a member of the opposite party (I)" +label var nbills_cosponsored_opposite "Number of bills cosponsored that were sponsored by a member of the opposite party (I)" +label var nbills_cosponsored "Number of bills cosponsored (I)" +label var cosponsor_female "1 if female (I)" +label var cosponsor_party "Party (I)" +label var cosponsor_age "Age (I)" +label var cosponsor_tenure_run "Tenure in Congress (I)" +label var cosponsor_state_icpsr "State (ICPSR code) (I)" +label var cosp_comc "Chair of any committee? (CBP) (I)" +label var cosp_comr "Ranking member of any committee (CBP) (I)" +label var cosp_ivycoll "Attended an Ivy League college (ICPSR + congress.gov) (I)" +label var cosp_black "1 if black (ICPSR + congress.gov) (I)" +label var cosp_occ0 "Last occupation unknown (ICPSR + congress.gov) (I)" +label var cosp_occ1 "Last occupation: Education (ICPSR + congress.gov) (I)" +label var cosp_occ2 "Last occupation: Lawyer(ICPSR + congress.gov) (I)" +label var cosp_occ3 "Last occupation: Professional (ICPSR + congress.gov) (I)" +label var cosp_occ4 "Last occupation: Business(ICPSR + congress.gov) (I)" +label var cosp_occ5 "Last occupation: Agriculture (ICPSR + congress.gov) (I)" +label var cosp_occ6 "Last occupation: Miscellaneous (ICPSR + congress.gov) (I)" +label var cosp_borninstate "1 if born in state (ICPSR + congress.gov) (I)" +label var cosp_dwnom1 "DW-Nominate, 1st dimension (Poole-Rosenthal) (I)" +label var cosp_mixed_gender_election "1 if mixed-gender election (D)" +label var cosp_MV1_democrat "Margin of victory of the Democratic candidate (D)" +label var cosp_MV1_female "Margin of victory of the female candidate in mixed-gender elections (D)" +label var femaleXcosp_MV1_female "female * cosp_MV1_female (D)" +label var cosp_lnpop "ln(population) in cong. district (Scott Adler + Census Summary Files) (D)" +label var cosp_lnarea "Ln(area in sq. miles) of cong. district (Scott Adler + Census Summary Files) (D)" +label var cosp_lninc "Ln(median family income) of cong. district (Scott Adler + Census Summary Files) (D)" +label var cosp_pct_b "% black in cong. district (Scott Adler + Census Summary Files) (D)" +label var cosp_pct_u "% urban in cong. district (Scott Adler + Census Summary Files) (D)" +label var cosp_pct_f "% foreign born in cong. district (Scott Adler + Census Summary Files) (D)" +label var cosp_pct_a "% age over 65 in cong. district (Scott Adler + Census Summary Files) (D)" + +foreach housecomm in "administration" /* +*/ "agriculture" /* +*/ "appropriations" /* +*/ "armedservices" /* +*/ "budget" /* +*/ "dc" /* +*/ "educlabor" /* +*/ "energycommerce" /* +*/ "foreignaffairs" /* +*/ "governmentop" /* +*/ "intelligence" /* +*/ "interior" /* +*/ "judiciary" /* +*/ "mmf" /* +*/ "pocs" /* +*/ "pwt" /* +*/ "rules" /* +*/ "sst" /* +*/ "smallbusi" /* +*/ "soc" /* +*/ "veterans" /* +*/ "waysandmeans" /* +*/ "naturalresources" /* +*/ "bfs" /* +*/ "eeo" /* +*/ "govreform" /* +*/ "ir" /* +*/ "natsecur" /* +*/ "oversight" /* +*/ "resources" /* +*/ "science" /* +*/ "transp" /* +*/ "homeland" { + label var house_`housecomm'_m "House Committee: `housecomm' (congress.gov) (B)" +} + +compress +save "$AnalysisData/cosponsors_analysis_101-111_replication.dta", replace + + +******************************************************************************** +clear +use "$IntermediateData/sponsors_analysis_101-111_clean.dta" + +ren sponsor sponsor_name + +keep v2 sponsor_state_abbrev sponsor_district sponsor_term_served sponsor_name /* +*/ sponsor_female sponsor_party dwnom1 predicted_dem + +order v2 sponsor_state_abbrev sponsor_district sponsor_term_served sponsor_name /* +*/ sponsor_female sponsor_party dwnom1 predicted_dem + + +*label commands +label data "Sponsor-level data set. Each observation is an individual congress member." + +label var sponsor_state_abbrev "Sponsor state - postal code (I)" +label var sponsor_district "Sponsor district (I)" +label var sponsor_term_served "Sponsor order seated (I)" +label var sponsor_name "Sponsor name (Congress.gov) (B)" +label var sponsor_female "1 if sponsor is female (I)" +label var sponsor_party "Sponsor party (I)" +label var dwnom1 "DW-Nominate, 1st dimension (Poole-Rosenthal) (I)" +label var predicted_dem "Predicted democratic share (D)" + +save "$AnalysisData/sponsors_analysis_101-111_replication.dta", replace + + +log close + + diff --git a/30/replication_package/Dofiles/AppendixC_simulations.do b/30/replication_package/Dofiles/AppendixC_simulations.do new file mode 100644 index 0000000000000000000000000000000000000000..0e095aa6bd75dc911eacb6efd6fc38ae0157aecd --- /dev/null +++ b/30/replication_package/Dofiles/AppendixC_simulations.do @@ -0,0 +1,535 @@ +clear +set more off +set logtype text + +******************************************************************************** +* This file is the same as rd_simulations__02.do, but cleans up some variable +* names and labels, only does the analysis for scenarios that eventually make it +* into Appendix version +******************************************************************************** + + +cap log close +log using "$Log/AppendixC_simulations.log", replace + + +cap prog drop rd_sim +prog def rd_sim, rclass + version 15.1 + syntax [, nobs(integer 10000) beta_a(real 1.0) beta_b(real 1.0) rho_x(real 0.7) /* + */ zbar_R(real 0.5) zbar_D(real -0.5) /* + */ alpha_R(real 0.5) alpha_D(real 0.5) /* + */ kappa_ksi_R(real 0.0) beta_ksi_R(real 10.0) kappa_ksi_D(real 0.0) beta_ksi_D(real 10.0) /* + */ phi0_R(real -1.0) phi1_R(real -1.0) phi0_D(real -1.0) phi1_D(real -1.0) /* + */ kappa_u(real 0.0) beta_u(real 1.0) /* + */ gamma0(real 0.0) gamma1(real -5.0) gamma2(real 0.0) gamma3(real 0.0)/* + */ tau0(real 0.3) tau1(real -1.0) tau2(real 0.0)] + drop _all + set obs `nobs' + + * Overall district ideology + gen z = 2*(rbeta(`beta_a',`beta_b')-0.5) + gen x = z + (sqrt((1-`rho_x'^2)/`rho_x'^2))*(2*(rbeta(`beta_a',`beta_b')-0.5)) + + * Ideology of R and candidates: weighted average of national party and local ideology, plus noise + gen z_R = `alpha_R'*`zbar_R' + (1-`alpha_R')*z + `kappa_ksi_R'*(rbeta(`beta_ksi_R',`beta_ksi_R')-0.5) + gen z_D = `alpha_D'*`zbar_D' + (1-`alpha_D')*z + `kappa_ksi_D'*(rbeta(`beta_ksi_D',`beta_ksi_D')-0.5) + + * Gender is correlated with candidate ideology + gen byte female_D = rnormal(`phi0_D' + `phi1_D'*z_D)>0 + gen byte female_R = rnormal(`phi0_R' + `phi1_R'*z_R)>0 + + * Voteshare depends on ideology of the candidates plus noise + gen u = `kappa_u'*(rbeta(`beta_u', `beta_u')-0.5) + gen voteshare_D = (exp(`gamma0' + `gamma1'*(z - (z_D+z_R)/2) + `gamma2'*female_D - `gamma3'*female_R + u)/ /* + */ (1+ exp(`gamma0' + `gamma1'*(z - (z_D+z_R)/2) + `gamma2'*female_D - `gamma3'*female_R + u ))) + + gen voteshare_female = voteshare_D if female_D==1 & female_R==0 + replace voteshare_female = (1-voteshare_D) if female_D==0 & female_R==1 + + * Outcome: depends on who is elected + gen y = `tau0' + `tau1'*abs(z_D) + `tau2'*female_D + rnormal() if voteshare_D>=0.5 + replace y = `tau0' + `tau1'*abs(z_R) +`tau2'*female_R + rnormal() if voteshare_D<0.5 + + * Now four types of RD analyses + * (1) Density test + rddensity voteshare_female, c(0.5) + local denstest_pval_all = e(pv_q) + + rddensity voteshare_female if voteshare_D>=0.5, c(0.5) + local denstest_pval_D = e(pv_q) + + rddensity voteshare_female if voteshare_D<0.5, c(0.5) + local denstest_pval_R = e(pv_q) + + * (2) is ideology continuous at the threshold + rdrobust z voteshare_female, c(0.5) kernel(uniform) + mat b = e(b) + mat V = e(V) + local b_ideology_all = b[1,1] + local se_ideology_all = sqrt(V[1,1]) + + rdrobust z voteshare_female if voteshare_D>=0.5, c(0.5) kernel(uniform) + mat b = e(b) + mat V = e(V) + local b_ideology_D = b[1,1] + local se_ideology_D = sqrt(V[1,1]) + + rdrobust z voteshare_female if voteshare_D<0.5, c(0.5) kernel(uniform) + mat b = e(b) + mat V = e(V) + local b_ideology_R = b[1,1] + local se_ideology_R = sqrt(V[1,1]) + + * (3) Estimate treatment effect with simple RD + rdrobust y voteshare_female, c(0.5) kernel(uniform) + mat b = e(b) + mat V = e(V) + local b_rd_all = b[1,1] + local se_rd_all = sqrt(V[1,1]) + local band_all = e(h_l) + + rdrobust y voteshare_female if voteshare_D>=0.5, c(0.5) kernel(uniform) + mat b = e(b) + mat V = e(V) + local b_rd_D = b[1,1] + local se_rd_D = sqrt(V[1,1]) + local band_D = e(h_l) + + rdrobust y voteshare_female if voteshare_D<0.5, c(0.5) kernel(uniform) + mat b = e(b) + mat V = e(V) + local b_rd_R = b[1,1] + local se_rd_R = sqrt(V[1,1]) + local band_R = e(h_l) + + * (4-5) Estimate the treatment effect with weighted RD + gen byte female = female_D if voteshare_D>=0.5 + replace female = female_R if voteshare_D<0.5 + gen voteshare_female_adj = voteshare_female-0.5 + + * (4) using x + probit female x if abs(voteshare_female_adj)<=`band_all' + predict pscore if e(sample)==1 + gen wt =1/pscore if female==1 + replace wt = 1/(1-pscore) if female==0 + reg y female voteshare_female_adj i.female#c.voteshare_female_adj [aw=wt] if abs(voteshare_female_adj)<=`band_all' + local b_rdwt_all = _b[female] + local se_rdwt_all = _se[female] + drop pscore wt + + probit female x if voteshare_D>=0.5 & abs(voteshare_female_adj)<=`band_D' + predict pscore if e(sample)==1 + gen wt =1/pscore if female==1 + replace wt = 1/(1-pscore) if female==0 + reg y female voteshare_female_adj i.female#c.voteshare_female_adj [aw=wt] if voteshare_D>=0.5 & abs(voteshare_female_adj)<=`band_D' + local b_rdwt_D = _b[female] + local se_rdwt_D = _se[female] + drop pscore wt + + probit female x if voteshare_D<0.5 & abs(voteshare_female_adj)<=`band_R' + predict pscore if e(sample)==1 + gen wt =1/pscore if female==1 + replace wt = 1/(1-pscore) if female==0 + reg y female voteshare_female_adj i.female#c.voteshare_female_adj [aw=wt] if voteshare_D<0.5 & abs(voteshare_female_adj)<=`band_R' + local b_rdwt_R = _b[female] + local se_rdwt_R = _se[female] + drop pscore wt + + + + * (5a) using ideology of the district + probit female z if abs(voteshare_female_adj)<=`band_all' + predict pscore if e(sample)==1 + gen wt =1/pscore if female==1 + replace wt = 1/(1-pscore) if female==0 + reg y female voteshare_female_adj i.female#c.voteshare_female_adj [aw=wt] if abs(voteshare_female_adj)<=`band_all' + local b_rdwtideodistrict_all = _b[female] + local se_rdwtideodistrict_all = _se[female] + drop pscore wt + + probit female z if voteshare_D>=0.5 & abs(voteshare_female_adj)<=`band_D' + predict pscore if e(sample)==1 + gen wt =1/pscore if female==1 + replace wt = 1/(1-pscore) if female==0 + reg y female voteshare_female_adj i.female#c.voteshare_female_adj [aw=wt] if voteshare_D>=0.5 & abs(voteshare_female_adj)<=`band_D' + local b_rdwtideodistrict_D = _b[female] + local se_rdwtideodistrict_D = _se[female] + drop pscore wt + + probit female z if voteshare_D<0.5 & abs(voteshare_female_adj)<=`band_R' + predict pscore if e(sample)==1 + gen wt =1/pscore if female==1 + replace wt = 1/(1-pscore) if female==0 + reg y female voteshare_female_adj i.female#c.voteshare_female_adj [aw=wt] if voteshare_D<0.5 & abs(voteshare_female_adj)<=`band_R' + local b_rdwtideodistrict_R = _b[female] + local se_rdwtideodistrict_R = _se[female] + drop pscore wt + + * (5b) using ideology of the elected representative + gen z_elected = z_D if voteshare_D>=0.5 + replace z_elected = z_R if voteshare_D<0.5 + + probit female z_elected if abs(voteshare_female_adj)<=`band_all' + predict pscore if e(sample)==1 + gen wt =1/pscore if female==1 + replace wt = 1/(1-pscore) if female==0 + reg y female voteshare_female_adj i.female#c.voteshare_female_adj [aw=wt] if abs(voteshare_female_adj)<=`band_all' + local b_rdwtideoelected_all = _b[female] + local se_rdwtideoelected_all = _se[female] + drop pscore wt + + probit female z_elected if voteshare_D>=0.5 & abs(voteshare_female_adj)<=`band_D' + predict pscore if e(sample)==1 + gen wt =1/pscore if female==1 + replace wt = 1/(1-pscore) if female==0 + reg y female voteshare_female_adj i.female#c.voteshare_female_adj [aw=wt] if voteshare_D>=0.5 & abs(voteshare_female_adj)<=`band_D' + local b_rdwtideoelected_D = _b[female] + local se_rdwtideoelected_D = _se[female] + drop pscore wt + + probit female z_elected if voteshare_D<0.5 & abs(voteshare_female_adj)<=`band_R' + predict pscore if e(sample)==1 + gen wt =1/pscore if female==1 + replace wt = 1/(1-pscore) if female==0 + reg y female voteshare_female_adj i.female#c.voteshare_female_adj [aw=wt] if voteshare_D<0.5 & abs(voteshare_female_adj)<=`band_R' + local b_rdwtideoelected_R = _b[female] + local se_rdwtideoelected_R = _se[female] + drop pscore wt + + * (6-7) Propensity score methods + gen absMV = abs(voteshare_D-0.5) + + * (6a) pscore - x + cap teffects ipw (y) (female x absMV, probit), pstolerance(1e-6) osample(osample) + teffects ipw (y) (female x absMV, probit) if osample==0, pstolerance(1e-6) + drop osample + mat b = e(b) + mat V = e(V) + local b_pscorex_all = b[1,1] + local se_pscorex_all = sqrt(V[1,1]) + + cap teffects ipw (y) (female x absMV, probit) if voteshare_D>=0.5, pstolerance(1e-6) osample(osample) + teffects ipw (y) (female x absMV, probit) if voteshare_D>=0.5 & osample==0, pstolerance(1e-6) + drop osample + mat b = e(b) + mat V = e(V) + local b_pscorex_D = b[1,1] + local se_pscorex_D = sqrt(V[1,1]) + + cap teffects ipw (y) (female x absMV, probit) if voteshare_D<0.5, pstolerance(1e-6) osample(osample) + teffects ipw (y) (female x absMV, probit) if voteshare_D<0.5 & osample==0, pstolerance(1e-6) + drop osample + mat b = e(b) + mat V = e(V) + local b_pscorex_R = b[1,1] + local se_pscorex_R = sqrt(V[1,1]) + + + * (7a) pscore - district ideology + cap teffects ipw (y) (female z absMV, probit), pstolerance(1e-6) osample(osample) + teffects ipw (y) (female z absMV, probit) if osample==0, pstolerance(1e-6) + drop osample + mat b = e(b) + mat V = e(V) + local b_pscoreideodistrict_all = b[1,1] + local se_pscoreideodistrict_all = sqrt(V[1,1]) + + cap teffects ipw (y) (female z absMV, probit) if voteshare_D>=0.5, pstolerance(1e-6) osample(osample) + teffects ipw (y) (female z absMV, probit) if voteshare_D>=0.5 & osample==0, pstolerance(1e-6) + drop osample + mat b = e(b) + mat V = e(V) + local b_pscoreideodistrict_D = b[1,1] + local se_pscoreideodistrict_D = sqrt(V[1,1]) + + cap teffects ipw (y) (female z absMV, probit) if voteshare_D<0.5, pstolerance(1e-6) osample(osample) + teffects ipw (y) (female z absMV, probit) if voteshare_D<0.5 & osample==0, pstolerance(1e-6) + drop osample + mat b = e(b) + mat V = e(V) + local b_pscoreideodistrict_R = b[1,1] + local se_pscoreideodistrict_R = sqrt(V[1,1]) + + + * (7b) pscore - elected representative ideology + cap teffects ipw (y) (female z_elected absMV, probit), pstolerance(1e-6) osample(osample) + teffects ipw (y) (female z_elected absMV, probit) if osample==0, pstolerance(1e-6) + drop osample + mat b = e(b) + mat V = e(V) + local b_pscoreideoelected_all = b[1,1] + local se_pscoreideoelected_all = sqrt(V[1,1]) + + cap teffects ipw (y) (female z_elected absMV, probit) if voteshare_D>=0.5, pstolerance(1e-6) osample(osample) + teffects ipw (y) (female z_elected absMV, probit) if voteshare_D>=0.5 & osample==0, pstolerance(1e-6) + drop osample + mat b = e(b) + mat V = e(V) + local b_pscoreideoelected_D = b[1,1] + local se_pscoreideoelected_D = sqrt(V[1,1]) + + cap teffects ipw (y) (female z_elected absMV, probit) if voteshare_D<0.5, pstolerance(1e-6) osample(osample) + teffects ipw (y) (female z_elected absMV, probit) if voteshare_D<0.5 & osample==0, pstolerance(1e-6) + drop osample + mat b = e(b) + mat V = e(V) + local b_pscoreideoelected_R = b[1,1] + local se_pscoreideoelected_R = sqrt(V[1,1]) + + + * (8) OLS + reg y female + local b_ols_all =_b[female] + local se_ols_all = _se[female] + + reg y female if voteshare_D>=0.5 + local b_ols_D = _b[female] + local se_ols_D = _se[female] + + reg y female if voteshare_D<0.5 + local b_ols_R = _b[female] + local se_ols_R = _se[female] + + * (9) Return + return scalar denstest_pval_all = `denstest_pval_all' + return scalar denstest_pval_D = `denstest_pval_D' + return scalar denstest_pval_R = `denstest_pval_R' + + return scalar b_ideology_all = `b_ideology_all' + return scalar se_ideology_all = `se_ideology_all' + return scalar b_ideology_D = `b_ideology_D' + return scalar se_ideology_D = `se_ideology_D' + return scalar b_ideology_R = `b_ideology_R' + return scalar se_ideology_R = `se_ideology_R' + + return scalar b_rd_all = `b_rd_all' + return scalar se_rd_all = `se_rd_all' + return scalar b_rd_D = `b_rd_D' + return scalar se_rd_D = `se_rd_D' + return scalar b_rd_R = `b_rd_R' + return scalar se_rd_R = `se_rd_R' + + return scalar b_rdwt_all = `b_rdwt_all' + return scalar se_rdwt_all = `se_rdwt_all' + return scalar b_rdwt_D = `b_rdwt_D' + return scalar se_rdwt_D = `se_rdwt_D' + return scalar b_rdwt_R = `b_rdwt_R' + return scalar se_rdwt_R = `se_rdwt_R' + + return scalar b_rdwtideodistrict_all = `b_rdwtideodistrict_all' + return scalar se_rdwtideodistrict_all = `se_rdwtideodistrict_all' + return scalar b_rdwtideodistrict_D = `b_rdwtideodistrict_D' + return scalar se_rdwtideodistrict_D = `se_rdwtideodistrict_D' + return scalar b_rdwtideodistrict_R = `b_rdwtideodistrict_R' + return scalar se_rdwtideodistrict_R = `se_rdwtideodistrict_R' + + return scalar b_rdwtideoelected_all = `b_rdwtideoelected_all' + return scalar se_rdwtideoelected_all = `se_rdwtideoelected_all' + return scalar b_rdwtideoelected_D = `b_rdwtideoelected_D' + return scalar se_rdwtideoelected_D = `se_rdwtideoelected_D' + return scalar b_rdwtideoelected_R = `b_rdwtideoelected_R' + return scalar se_rdwtideoelected_R = `se_rdwtideoelected_R' + + return scalar b_pscorex_all = `b_pscorex_all' + return scalar se_pscorex_all = `se_pscorex_all' + return scalar b_pscorex_D = `b_pscorex_D' + return scalar se_pscorex_D = `se_pscorex_D' + return scalar b_pscorex_R = `b_pscorex_R' + return scalar se_pscorex_R = `se_pscorex_R' + + return scalar b_pscoreideodistrict_all = `b_pscoreideodistrict_all' + return scalar se_pscoreideodistrict_all = `se_pscoreideodistrict_all' + return scalar b_pscoreideodistrict_D = `b_pscoreideodistrict_D' + return scalar se_pscoreideodistrict_D = `se_pscoreideodistrict_D' + return scalar b_pscoreideodistrict_R = `b_pscoreideodistrict_R' + return scalar se_pscoreideodistrict_R = `se_pscoreideodistrict_R' + + return scalar b_pscoreideoelected_all = `b_pscoreideoelected_all' + return scalar se_pscoreideoelected_all = `se_pscoreideoelected_all' + return scalar b_pscoreideoelected_D = `b_pscoreideoelected_D' + return scalar se_pscoreideoelected_D = `se_pscoreideoelected_D' + return scalar b_pscoreideoelected_R = `b_pscoreideoelected_R' + return scalar se_pscoreideoelected_R = `se_pscoreideoelected_R' + + return scalar b_ols_all = `b_ols_all' + return scalar se_ols_all = `se_ols_all' + return scalar b_ols_D = `b_ols_D' + return scalar se_ols_D = `se_ols_D' + return scalar b_ols_R = `b_ols_R' + return scalar se_ols_R = `se_ols_R' + +end + + +******************************************************************************** +******************************************************************************** +******************************************************************************** + +* Now actually run the simulations + +set seed 1234567 + +* Run one simulation as a test +rd_sim, beta_a(5) beta_b(5) kappa_ksi_R(0.4) kappa_ksi_D(0.4) kappa_u(1) tau1(-5) rho_x(0.6) nobs(100000) /* +*/ gamma2(0.0) gamma3(0.6) phi1_D(-1) phi1_R(-1) + + + + +set seed 1234567 + +forvalues j = 1/4 { + if `j'==1 { + * BASELINE: Everything balanced + local gamma2 = 0 // No preference for female D + local gamma3 = 0 // No preference for female R + local phi1_D = 0 // No relationship between gender and ideology + local phi1_R = 0 + local DataDescr`j' = "Baseline - Everything Balanced" + } + else if `j'==2 { + * Variant 1: Women are more left-wing, no preference for female candidates + local gamma2 = 0 // No preference for female D + local gamma3 = 0 // No preference for female R + local phi1_D = -1 // No relationship between gender and ideology + local phi1_R = -1 + local DataDescr`j' = "Variant 1 - Women are more left-wing, no preference for female candidates" + } + else if `j'==3 { + * Variant 2: Women are more left-wing, equal preference for female candidates + local gamma2 = 0.3 // No preference for female D + local gamma3 = 0.3 // No preference for female R + local phi1_D = -1 // No relationship between gender and ideology + local phi1_R = -1 + local DataDescr`j' = "Variant 2 - Women are more left-wing, equal preference for female candidates" + } + + else if `j'==4 { + * Variant 3: Women are more left-wing, only D's prefer female candidates + local gamma2 = 0.6 // No preference for female D + local gamma3 = 0 // No preference for female R + local phi1_D = -1 // No relationship between gender and ideology + local phi1_R = -1 + local DataDescr`j' = "Variant 3 - Women are more left-wing, only Ds prefer female candidates" + } + + simulate denstest_pval_all=r(denstest_pval_all) denstest_pval_D=r(denstest_pval_D) denstest_pval_R=r(denstest_pval_R) /* + */ b_ideology_all=r(b_ideology_all) se_ideology_all=r(se_ideology_all) /* + */ b_ideology_D=r(b_ideology_D) se_ideology_D=r(se_ideology_D) /* + */ b_ideology_R=r(b_ideology_R) se_ideology_R=r(se_ideology_R) /* + */ b_rd_all=r(b_rd_all) se_rd_all=r(se_rd_all) /* + */ b_rd_D=r(b_rd_D) se_rd_D=r(se_rd_D) /* + */ b_rd_R=r(b_rd_R) se_rd_R=r(se_rd_R) /* + */ b_rdwt_all=r(b_rdwt_all) se_rdwt_all=r(se_rdwt_all) /* + */ b_rdwt_D=r(b_rdwt_D) se_rdwt_D=r(se_rdwt_D) /* + */ b_rdwt_R=r(b_rdwt_R) se_rdwt_R=r(se_rdwt_R) /* + */ b_rdwtideodistrict_all=r(b_rdwtideodistrict_all) se_rdwtideodistrict_all=r(se_rdwtideodistrict_all) /* + */ b_rdwtideodistrict_D=r(b_rdwtideodistrict_D) se_rdwtideodistrict_D=r(se_rdwtideodistrict_D) /* + */ b_rdwtideodistrict_R=r(b_rdwtideodistrict_R) se_rdwtideodistrict_R=r(se_rdwtideodistrict_R) /* + */ b_rdwtideoelected_all=r(b_rdwtideoelected_all) se_rdwtideoelected_all=r(se_rdwtideoelected_all) /* + */ b_rdwtideoelected_D=r(b_rdwtideoelected_D) se_rdwtideoelected_D=r(se_rdwtideoelected_D) /* + */ b_rdwtideoelected_R=r(b_rdwtideoelected_R) se_rdwtideoelected_R=r(se_rdwtideoelected_R) /* + */ b_pscorex_all=r(b_pscorex_all) se_pscorex_all=r(se_pscorex_all) /* + */ b_pscorex_D=r(b_pscorex_D) se_pscorex_D=r(se_pscorex_D) /* + */ b_pscorex_R=r(b_pscorex_R) se_pscorex_R=r(se_pscorex_R) /* + */ b_pscoreideodistrict_all=r(b_pscoreideodistrict_all) se_pscoreideodistrict_all=r(se_pscoreideodistrict_all) /* + */ b_pscoreideodistrict_D=r(b_pscoreideodistrict_D) se_pscoreideodistrict_D=r(se_pscoreideodistrict_D) /* + */ b_pscoreideodistrict_R=r(b_pscoreideodistrict_R) se_pscoreideodistrict_R=r(se_pscoreideodistrict_R) /* + */ b_pscoreideoelected_all=r(b_pscoreideoelected_all) se_pscoreideoelected_all=r(se_pscoreideoelected_all) /* + */ b_pscoreideoelected_D=r(b_pscoreideoelected_D) se_pscoreideoelected_D=r(se_pscoreideoelected_D) /* + */ b_pscoreideoelected_R=r(b_pscoreideoelected_R) se_pscoreideoelected_R=r(se_pscoreideoelected_R) /* + */ b_ols_all=r(b_ols_all) se_ols_all=r(se_ols_all) /* + */ b_ols_D=r(b_ols_D) se_ols_D=r(se_ols_D) /* + */ b_ols_R=r(b_ols_R) se_ols_R=r(se_ols_R) /* + */ , reps(1000) saving("$AppendixC_simulations/rd_simulations`j'.dta", replace): /* + */ rd_sim, beta_a(5) beta_b(5) kappa_ksi_R(0.4) kappa_ksi_D(0.4) kappa_u(1) tau1(-5) rho_x(0.6) nobs(10000) /* + */ gamma2(`gamma2') gamma3(`gamma3') phi1_D(`phi1_D') phi1_R(`phi1_R') + + gen gamma2 = `gamma2' + gen gamma3 = `gamma3' + gen phi1_D = `phi1_D' + gen phi1_R = `phi1_R' + label data "`DataDescr`j''" + save "$AppendixC_simulations/rd_simulations`j'.dta", replace + + foreach type in "rd" "rdwt" "rdwtideodistrict" "rdwtideoelected" "pscorex" "pscoreideodistrict" "pscoreideoelected" "ols" { + di "" + di "" + di in ye "type = `type'" + foreach party in "all" "D" "R" { + gen byte hit_`type'_`party' = b_`type'_`party' - 1.96*se_`type'_`party'<=0 & /* + */ b_`type'_`party' + 1.96*se_`type'_`party'>=0 + } + sum b_`type'_D se_`type'_D hit_`type'_D b_`type'_R se_`type'_R hit_`type'_R + } +} + + + +******************************************************************************** +******************************************************************************** +******************************************************************************** + +* From here on, display results +clear + +foreach j of numlist 1 2 4 { + if `j'<=2 { + local jtex = `j' + } + else if `j'==4 { + local jtex = `j'-1 + } + use "$AppendixC_simulations/rd_simulations`j'.dta", clear + foreach type in "ideology" "rd" "rdwt" "rdwtideodistrict" "rdwtideoelected" "pscorex" "pscoreideodistrict" "pscoreideoelected" "ols" { + di "" + di "" + di in ye "type = `type'" + foreach party in "all" "D" "R" { + gen byte rejrate_`type'_`party' = b_`type'_`party' - 1.96*se_`type'_`party'>0 | /* + */ b_`type'_`party' + 1.96*se_`type'_`party'<0 + } + } + foreach party in "all" "D" "R" { + gen denstest_reject_`party' = denstest_pval_`party'<0.05 + } + + foreach esttype in "ideology" "rd" "rdwt" "rdwtideodistrict" "rdwtideoelected" "pscorex" "pscoreideodistrict" "pscoreideoelected" "ols"{ + ren b_`esttype'_all `esttype'1 + ren rejrate_`esttype'_all `esttype'2 + ren b_`esttype'_D `esttype'3 + ren rejrate_`esttype'_D `esttype'4 + ren b_`esttype'_R `esttype'5 + ren rejrate_`esttype'_R `esttype'6 + } + + ren denstest_pval_all denstest1 + ren denstest_reject_all denstest2 + ren denstest_pval_D denstest3 + ren denstest_reject_D denstest4 + ren denstest_pval_R denstest5 + ren denstest_reject_R denstest6 + + gen iterno=_n + drop se_* + reshape long denstest ideology rd rdwt rdwtideodistrict rdwtideoelected pscorex pscoreideodistrict pscoreideoelected ols, i(iterno) j(stype) + label def stype 1 "All - estimate" 2 "All - Rej.Rate" 3 "D - estimate" 4 "D - Rej.Rate" 5 "R - estimate" 6 "R - Rej.Rate" + label value stype stype + + label var denstest "Density test (p-value)" + label var ideology "Discontinuity in ideology" + label var rd "RD - simple" + label var rdwt "P-score weighted RD - x" + label var rdwtideodistrict "P-score weighted RD - district ideology" + label var rdwtideoelected "P-score weighted RD - ideology of elected representative" + label var pscorex "P-score weighted, x" + label var pscoreideodistrict "P-score weighted, district ideology" + label var pscoreideoelected "P-score weighted, ideology of elected representative" + label var ols "OLS" + + estpost tabstat denstest ideology rd rdwt rdwtideodistrict rdwtideoelected /* + */ pscorex pscoreideodistrict pscoreideoelected ols, by(stype) column(statistics) nototal + esttab using "$AppendixC_simulations/results_AppendixTableC`jtex'.tex", main(mean %6.3f) unstack tex replace noobs nomtitles nonumbers nonotes label +} + diff --git a/30/replication_package/Dofiles/Figure1_2.do b/30/replication_package/Dofiles/Figure1_2.do new file mode 100644 index 0000000000000000000000000000000000000000..6e933ac6fe42fa2959c9a0dfdf714a7dcf610423 --- /dev/null +++ b/30/replication_package/Dofiles/Figure1_2.do @@ -0,0 +1,50 @@ +clear +set scheme s1color +set mem 500m +set more off +set logtype text +set matsize 100 + +cap log close +log using "$Log/Figure1_2.log", replace + +use "$AnalysisData/sponsors_analysis_101-111_replication.dta", clear + +tabstat dwnom1 if sponsor_party==100 & sponsor_female==0, by(v2) +tabstat dwnom1 if sponsor_party==100 & sponsor_female==1, by(v2) +tabstat dwnom1 if sponsor_party==200 & sponsor_female==0, by(v2) +tabstat dwnom1 if sponsor_party==200 & sponsor_female==1, by(v2) + +sort sponsor_state_abbrev sponsor_district v2 sponsor_term_served +bysort sponsor_state_abbrev sponsor_district: gen dwnom1_lag=dwnom1[_n-1] + +gen predicted_rep= 100*(1-predicted_dem) +cumul predicted_rep if sponsor_party==100 & sponsor_female==0, generate(cum_predicted_repD0) +cumul predicted_rep if sponsor_party==100 & sponsor_female==1, generate(cum_predicted_repD1) +cumul predicted_rep if sponsor_party==200 & sponsor_female==0, generate(cum_predicted_repR0) +cumul predicted_rep if sponsor_party==200 & sponsor_female==1, generate(cum_predicted_repR1) +label var cum_predicted_repD0 "Male, Democrat" +label var cum_predicted_repD1 "Female, Democrat" +label var cum_predicted_repR0 "Male, Republican" +label var cum_predicted_repR1 "Female, Republican" +sort predicted_rep +scatter cum_predicted_repD0 cum_predicted_repD1 cum_predicted_repR0 cum_predicted_repR1 predicted_rep, /* +*/ c(l l l l) lpattern(solid dash solid dash) clcolor(black black gs12 gs12) msym(none none none none) xtitle("") /* +*/ saving("$Output/Figure1.gph", replace) +graph export "$Output/Figure1.eps", as(eps) replace fontface(Times) + +cumul dwnom1_lag if sponsor_party==100 & sponsor_female==0, generate(cum_dwnom1D0) +cumul dwnom1_lag if sponsor_party==100 & sponsor_female==1, generate(cum_dwnom1D1) +cumul dwnom1_lag if sponsor_party==200 & sponsor_female==0, generate(cum_dwnom1R0) +cumul dwnom1_lag if sponsor_party==200 & sponsor_female==1, generate(cum_dwnom1R1) +label var cum_dwnom1D0 "Male, Democrat" +label var cum_dwnom1D1 "Female, Democrat" +label var cum_dwnom1R0 "Male, Republican" +label var cum_dwnom1R1 "Female, Republican" +sort dwnom1_lag +scatter cum_dwnom1D0 cum_dwnom1D1 cum_dwnom1R0 cum_dwnom1R1 dwnom1_lag, /* +*/ c(l l l l) lpattern(solid dash solid dash) clcolor(black black gs12 gs12) msym(none none none none) xtitle("") /* +*/ saving("$Output/Figure2.gph", replace) +graph export "$Output/Figure2.eps", as(eps) replace fontface(Times) + +log close diff --git a/30/replication_package/Dofiles/Figure3.do b/30/replication_package/Dofiles/Figure3.do new file mode 100644 index 0000000000000000000000000000000000000000..3b4ee4a43ef4578f40eeb7f4778f8aa73f013b64 --- /dev/null +++ b/30/replication_package/Dofiles/Figure3.do @@ -0,0 +1,50 @@ +* LAST CHANGED: SG, 20 Apr 2015 + +clear +set scheme s1color +set mem 500m +set more off +set logtype text +set matsize 100 + +cap log close +log using "$Log/Figure3.log", replace + +use "$AnalysisData/sponsors_analysis_101-111_replication.dta", clear + +egen fraction_female=mean(sponsor_female), by(v2) +replace fraction_female= fraction_female*100 + +gen byte x = sponsor_female if sponsor_party==100 +egen fraction_female_D =mean(x), by(v2) +replace fraction_female_D= fraction_female_D*100 +drop x + +gen byte x = sponsor_female if sponsor_party==200 +egen fraction_female_R = mean(x), by(v2) +replace fraction_female_R= fraction_female_R*100 +drop x + +label var fraction_female "All" +label var fraction_female_D "Democrats" +label var fraction_female_R "Republicans" +label var v2 "Congress" + +egen tag_congress = tag(v2) + +keep if tag_congress==1 + + +gen int year_elections = 1988 + 2*(v2-101) +label var year_elections "Year Congress Elected" + +sort v2 +scatter fraction_female fraction_female_D fraction_female_R year_elections, c(l l l) msym(o t s) /* +*/ mcolor(black black black) msize(*1.5 *1.5 *1.5) clcolor(black black black) lpattern(solid dash dash_dot) ytitle("Pct. female")/* +*/ saving("$Output/Figure3.gph", replace) name(Figure3,replace) + +graph export "$Output/Figure3.eps", as(eps) replace fontface(Times) + + + +log close diff --git a/30/replication_package/Dofiles/Figure4a_4b.do b/30/replication_package/Dofiles/Figure4a_4b.do new file mode 100644 index 0000000000000000000000000000000000000000..cdf32281ae3159ec03101016b372fd5f4eb2b6e1 --- /dev/null +++ b/30/replication_package/Dofiles/Figure4a_4b.do @@ -0,0 +1,72 @@ +clear +set scheme s1color +set mem 500m +set more off +set logtype text +set matsize 100 + +cap log close +log using "$Log/Figure4a_4b.log", replace + +clear +use "$AnalysisData/bills_analysis_101-111_replication.dta", clear + +replace numb_cosponsors_opposite=0 if numb_cosponsors==0 +replace pct_cosponsors_opposite = numb_cosponsors_opposite/(numb_cosponsors+1) + +egen mean_numb_cosponsors = mean(numb_cosponsors), by(v2) + +gen int x = numb_cosponsors if sponsor_female==1 +egen mean_numb_cosponsors_F = mean(x), by(v2) +drop x + +gen int x = numb_cosponsors if sponsor_female==0 +egen mean_numb_cosponsors_M = mean(x), by(v2) +drop x + +egen mean_pct_cosp_opposite = mean(pct_cosponsors_opposite), by(v2) +replace mean_pct_cosp_opposite=mean_pct_cosp_opposite*100 + +gen x = pct_cosponsors_opposite if sponsor_female==1 +egen mean_pct_cosp_opposite_F = mean(x), by(v2) +replace mean_pct_cosp_opposite_F=mean_pct_cosp_opposite_F*100 +drop x + +gen x = pct_cosponsors_opposite if sponsor_female==0 +egen mean_pct_cosp_opposite_M = mean(x), by(v2) +replace mean_pct_cosp_opposite_M=mean_pct_cosp_opposite_M*100 +drop x + + +egen tag_v2 = tag(v2) +keep if tag_v2==1 + +label var mean_numb_cosponsors "Total" +label var mean_numb_cosponsors_F "Females" +label var mean_numb_cosponsors_M "Males" + +label var mean_pct_cosp_opposite "Total" +label var mean_pct_cosp_opposite_F "Females" +label var mean_pct_cosp_opposite_M "Males" + +label var v2 "Congress" + +sort v2 + +gen int year_elections = 1988 + 2*(v2-101) +label var year_elections "Year Congress Elected" + +scatter mean_numb_cosponsors mean_numb_cosponsors_F mean_numb_cosponsors_M year_elections, c(l l l) msym(o t s) /* +*/ mcolor(black black black) clcolor(black black black) lpattern(solid dash dash_dot)/* +*/ ytitle("Mean number of cosponsors") saving("$Output/Figure4a.gph", replace) name(Figure4a, replace) +graph export "$Output/Figure4a.eps", as(eps) replace fontface(Times) + +scatter mean_pct_cosp_opposite mean_pct_cosp_opposite_F mean_pct_cosp_opposite_M year_elections, c(l l l) msym(o t s) /* +*/ mcolor(black black black) clcolor(black black black) lpattern(solid dash dash_dot) /* +*/ ytitle("Pct. of Cosponsors of Opposite Party") saving("$Output/Figure4b.gph", replace) name(Figure4b, replace) +graph export "$Output/Figure4b.eps", as(eps) replace fontface(Times) + + + + +log close diff --git a/30/replication_package/Dofiles/Figure5.do b/30/replication_package/Dofiles/Figure5.do new file mode 100644 index 0000000000000000000000000000000000000000..b67fb4c4a09669697039b4f0992ed945918a3fc9 --- /dev/null +++ b/30/replication_package/Dofiles/Figure5.do @@ -0,0 +1,72 @@ +clear +set scheme s1color +set mem 500m +set more off +set logtype text +set matsize 100 + + +cap log close +log using "$Log/Figure5.log", replace + +use "$AnalysisData/bills_analysis_101-111_replication.dta", clear + +egen tag_sponsor = tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +sum MV1_female +sum MV1_female if tag_sponsor==1 + +forvalues h=15/15 { + DCdensity MV1_female if tag_sponsor==1 , breakpoint(0) h(`h') b(1) generate(Xj Yj r0 fhat se_fhat) + local bandwidth = r(bandwidth) + gen hi = fhat + 1.96*se_fhat + gen lo = fhat - 1.96*se_fhat + graph twoway (scatter Yj Xj, msym(circle_hollow) mcolor(gray)) /* + */ (line fhat r0 if r0 < 0, lcolor(black) lwidth(medthick)) /* + */ (line fhat r0 if r0 > 0, lcolor(black) lwidth(medthick)) /* + */ (line hi r0 if r0 < 0, lcolor(black) lwidth(vthin)) /* + */ (line lo r0 if r0 < 0, lcolor(black) lwidth(vthin)) /* + */ (line hi r0 if r0 > 0, lcolor(black) lwidth(vthin)) /* + */ (line lo r0 if r0 > 0, lcolor(black) lwidth(vthin)), /* + */ xline(0, lcolor(black)) legend(off) title("All") + graph save "$Output/Figure5_McCraryDensityTest_PartyAll_bw`bandwidth'.gph", replace + drop Xj Yj r0 fhat se_fhat hi lo +} + + +foreach num of numlist 100 200 { + if `num'==100 { + local PARTYletter = "D" + local PARTYlong = "Democrats" + } + else { + local PARTYletter= "R" + local PARTYlong= "Republicans" + } + forvalues h=15/15 { + DCdensity MV1_female if tag_sponsor==1 & sponsor_party==`num', breakpoint(0) h(`h') b(1) generate(Xj Yj r0 fhat se_fhat) + local bandwidth = r(bandwidth) + gen hi = fhat + 1.96*se_fhat + gen lo = fhat - 1.96*se_fhat + graph twoway (scatter Yj Xj, msym(circle_hollow) mcolor(gray)) /* + */ (line fhat r0 if r0 < 0, lcolor(black) lwidth(medthick)) /* + */ (line fhat r0 if r0 > 0, lcolor(black) lwidth(medthick)) /* + */ (line hi r0 if r0 < 0, lcolor(black) lwidth(vthin)) /* + */ (line lo r0 if r0 < 0, lcolor(black) lwidth(vthin)) /* + */ (line hi r0 if r0 > 0, lcolor(black) lwidth(vthin)) /* + */ (line lo r0 if r0 > 0, lcolor(black) lwidth(vthin)), /* + */ xline(0, lcolor(black)) legend(off) /* + */ title("`PARTYlong'") + graph save "$Output/Figure5_McCraryDensityTest_Party`PARTYletter'_bw`bandwidth'.gph", replace + drop Xj Yj r0 fhat se_fhat hi lo + } +} + +graph combine "$Output/Figure5_McCraryDensityTest_PartyAll_bw15.gph" /* +*/ "$Output/Figure5_McCraryDensityTest_PartyD_bw15.gph" /* +*/ "$Output/Figure5_McCraryDensityTest_PartyR_bw15.gph", /* +*/ holes(2) saving("$Output/Figure5.gph", replace) name(Figure5,replace) +graph export "$Output/Figure5.eps", as(eps) replace fontface(Times) + + + +log close diff --git a/30/replication_package/Dofiles/Table1.do b/30/replication_package/Dofiles/Table1.do new file mode 100644 index 0000000000000000000000000000000000000000..d7e871b9378f5ecbb6bc6b621264d7a4104fd086 --- /dev/null +++ b/30/replication_package/Dofiles/Table1.do @@ -0,0 +1,85 @@ +clear +set scheme s1color +set mem 500m +set more off +set logtype text +set matsize 1000 + +cap log close +log using "$Log/Table1.log", replace + + +use "$AnalysisData/bills_analysis_101-111_replication.dta", clear +keep if private==0 + +bysort v2 sponsor_state_abbrev sponsor_district sponsor_term_served: egen tot_bills=count(v2) + +gen byte sponsor_democrat = sponsor_party==100 if sponsor_party~=. + +gen byte NE = sponsor_state_icpsr>=1 & sponsor_state_icpsr<=14 if sponsor_state_icpsr~=. +gen byte MW = sponsor_state_icpsr>=21 & sponsor_state_icpsr<=37 if sponsor_state_icpsr~=. +gen byte SO = sponsor_state_icpsr>=40 & sponsor_state_icpsr<=56 if sponsor_state_icpsr~=. +gen byte WE = sponsor_state_icpsr>=61 & sponsor_state_icpsr<=82 if sponsor_state_icpsr~=. + +replace sponsor_age=. if sponsor_age>100 +gen sponsor_rookie=(sponsor_tenure_run==1) if sponsor_tenure_run!=. +gen byte leader = (comc==1) | (comr==1) if comc~=. & comr~=. + +gen lnpden=lnpop-lnarea +gen absMV=abs(MV1_democrat) + +egen tag_congressmen=tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +egen group_congressmen = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +egen tag_sponsor = tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +egen group_sponsor = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) + +cap drop pct_cosponsors_opposite +gen pct_cosponsors_opposite=numb_cosponsors_opposite/(numb_cosponsors+1) +replace pct_cosponsors_opposite=. if pct_cosponsors_opposite>1 + +foreach num of numlist 1 3 { + foreach depvar of varlist plaw_cbp passh { + gen `depvar'`num'=`depvar' if women_friend`num'==1 + replace `depvar'`num'=0 if women_friend`num'==0 + } +} + +compress + +egen tag_bill = tag(v2 HRnumber) + +gen int decade = 1980 if v2<=102 +replace decade=1990 if v2>=103 & v2<=107 +replace decade=2000 if v2>=108 + +egen district_id = group(decade sponsor_state_abbrev sponsor_district) + +local controls1 = "i.v2 " +local controls2 = "i.v2 MV1_female femaleXMV1_female " +local controls3 = "i.v2 MV1_female femaleXMV1_female " +local controls4 = "i.v2 " +local controls5 = "i.v2 " + +local other_controls = "i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden" +local billchars = "i.minor house_*" +local indivchars = "sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate tot_bills" +local districtchars = "NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden" + +local if1 = "if tag_bill==1" +local if2 = "if sponsor_party==100 & tag_bill==1" +local if3 = "if sponsor_party==200 & tag_bill==1" + +local and1 = "& women_friend1==0" +local and2 = "& women_friend1==1" + +local n_cosp1 = " " +local n_cosp2 = "numb_cosponsors pct_cosponsors_opposite" + +replace numb_cosponsors=numb_cosponsors/100 +reg passh c.numb_cosponsors##c.pct_cosponsors_opposite i.v2 `billchars' `indivchars' `districtchars', cluster(group_sponsor) +reg passh i.sponsor_female##(c.numb_cosponsors##c.pct_cosponsors_opposite) i.v2 `billchars' `indivchars' `districtchars', cluster(group_sponsor) + +test 1.sponsor_female#c.numb_cosponsors 1.sponsor_female#c.pct_cosponsors_opposite 1.sponsor_female#c.numb_cosponsors#c.pct_cosponsors_opposite +test 1.sponsor_female 1.sponsor_female#c.numb_cosponsors 1.sponsor_female#c.pct_cosponsors_opposite 1.sponsor_female#c.numb_cosponsors#c.pct_cosponsors_opposite + +log close diff --git a/30/replication_package/Dofiles/Table10.do b/30/replication_package/Dofiles/Table10.do new file mode 100644 index 0000000000000000000000000000000000000000..493e3c776d9fc9440d978828b6f9cce570b9001e --- /dev/null +++ b/30/replication_package/Dofiles/Table10.do @@ -0,0 +1,197 @@ +clear +set mem 500m +set more off +set logtype text +set matsize 3000 + +cap log close +log using "$Log/Table10.log", replace + + +use "$AnalysisData/bills_analysis_101-111_replication.dta" +keep if private==0 + +bysort v2 sponsor_state_abbrev sponsor_district sponsor_term_served: egen tot_bills=count(v2) + +gen byte sponsor_democrat = sponsor_party==100 if sponsor_party~=. + +gen byte NE = sponsor_state_icpsr>=1 & sponsor_state_icpsr<=14 if sponsor_state_icpsr~=. +gen byte MW = sponsor_state_icpsr>=21 & sponsor_state_icpsr<=37 if sponsor_state_icpsr~=. +gen byte SO = sponsor_state_icpsr>=40 & sponsor_state_icpsr<=56 if sponsor_state_icpsr~=. +gen byte WE = sponsor_state_icpsr>=61 & sponsor_state_icpsr<=82 if sponsor_state_icpsr~=. + +replace sponsor_age=. if sponsor_age>100 +gen sponsor_rookie=(sponsor_tenure_run==1) if sponsor_tenure_run!=. +gen byte leader = (comc==1) | (comr==1) if comc~=. & comr~=. + +gen lnpden=lnpop-lnarea +gen absMV=abs(MV1_democrat) + +egen tag_congressmen=tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +egen group_congressmen = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +egen tag_sponsor = tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +egen group_sponsor = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) + +cap drop pct_cosponsors_opposite +gen pct_cosponsors_opposite=100*numb_cosponsors_opposite/(numb_cosponsors+1) +replace pct_cosponsors_opposite=. if pct_cosponsors_opposite>100 + +foreach num of numlist 1 3 { + foreach var of varlist numb_cosponsors numb_cosponsors_opposite { + gen `var'`num'=`var' if women_friend`num'==1 + replace `var'`num'=0 if women_friend`num'==0 + } + gen pct_cosponsors_opposite`num'=100*numb_cosponsors_opposite`num'/(numb_cosponsors`num'+1) + replace pct_cosponsors_opposite`num'=. if pct_cosponsors_opposite`num'>100 +} + +compress + +egen tag_bill = tag(v2 HRnumber) + +gen int decade = 1980 if v2<=102 +replace decade=1990 if v2>=103 & v2<=107 +replace decade=2000 if v2>=108 + +egen district_id = group(decade sponsor_state_abbrev sponsor_district) + +local controls1 = "i.v2 " +local controls2 = "i.v2 MV1_female femaleXMV1_female " +local controls3 = "i.v2 MV1_female femaleXMV1_female " +local controls4 = "i.v2 " +local controls5 = "i.v2 " + +local other_controls = "i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden" +local billchars = "i.minor house_*" +local indivchars = "sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate tot_bills" +local districtchars = "NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden" + +local if1 = "if tag_bill==1" +local if2 = "if sponsor_party==100 & tag_bill==1" +local if3 = "if sponsor_party==200 & tag_bill==1" + +foreach depvar of varlist pct_cosponsors_opposite { + foreach num of numlist 1 { + forvalues l = 0/1 { + forvalues j = 1/5 { + forvalues k = 1/3 { + qui reg `depvar' sponsor_female `controls2' `other_controls' `if`k'' & mixed_gender_election==1 & women_friend`num'==`l', robust cluster(group_sponsor) + qui gen sample=e(sample) + + di "" + di "" + di "j = ", `j', "k = ", `k' + di "" + di "" + + di "rdbwselect_2014 `depvar' MV1_female `if`k'', c(0) kernel(uniform)" + rdbwselect_2014 `depvar' MV1_female `if`k'', c(0) kernel(uniform) + local band = e(h_CCT) + + if `j'==1 { + di "reg `depvar' sponsor_female `controls`j'' `other_controls' `if`k'' & women_friend`num'==`l', robust cluster(group_sponsor)" + reg `depvar' sponsor_female `controls`j'' `other_controls' `if`k'' & women_friend`num'==`l', robust cluster(group_sponsor) + } + else if `j'==2 { + di "reg `depvar' sponsor_female `controls`j'' `if`k'' & sample==1 & abs(MV1_female)<=`band' & women_friend`num'==`l', robust cluster(group_sponsor)" + reg `depvar' sponsor_female `controls`j'' `if`k'' & sample==1 & abs(MV1_female)<=`band' & women_friend`num'==`l', robust cluster(group_sponsor) + } + else if `j'==3 { + qui probit sponsor_female i.v2 `districtchars' `if`k'' & tag_sponsor==1 & abs(MV1_female)<=`band' + predict pscore if sample==1 + gen wt = 1/pscore if sponsor_female==1 + replace wt =1/(1-pscore) if sponsor_female==0 + di "reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & sample==1 & women_friend`num'==`l' & abs(MV1_female)<=`band', robust cluster(group_sponsor)" + reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & sample==1 & women_friend`num'==`l' & abs(MV1_female)<=`band', robust cluster(group_sponsor) + drop pscore wt + } + else if `j'==4 { + qui probit sponsor_female i.v2 `districtchars' absMV `if`k'' & tag_sponsor==1 + predict pscore + gen wt = 1/pscore if sponsor_female==1 + replace wt =1/(1-pscore) if sponsor_female==0 + di "reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & women_friend`num'==`l', robust cluster(group_sponsor)" + reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & women_friend`num'==`l', robust cluster(group_sponsor) + drop pscore wt + } + else if `j'==5 { + qui probit sponsor_female i.v2 `districtchars' `indivchars' absMV `if`k'' & tag_sponsor==1 + predict pscore + gen wt = 1/pscore if sponsor_female==1 + replace wt =1/(1-pscore) if sponsor_female==0 + di "reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & women_friend`num'==`l', robust cluster(group_sponsor)" + reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & women_friend`num'==`l', robust cluster(group_sponsor) + drop pscore wt + } + + if `j'~=2 & `j'~=3 { + scalar b_col`j'_row`k' = _b[sponsor_female] + scalar se_col`j'_row`k' = _se[sponsor_female] + scalar n_col`j'_row`k' = e(N) + sum tag_congressmen if tag_congressmen==1 & e(sample) + scalar ni_col`j'_row`k' = e(N_clust) + scalar ob_col`j'_row`k' = . + } + else if `j'==2 | `j'==3 { + scalar b_col`j'_row`k' = _b[sponsor_female] + scalar se_col`j'_row`k' = _se[sponsor_female] + scalar n_col`j'_row`k' = e(N) + sum tag_congressmen if tag_congressmen==1 & e(sample) + scalar ni_col`j'_row`k' = e(N_clust) + scalar ob_col`j'_row`k' = round(`band') + } + + drop sample + } // closes j loop + } // closes k loop + + preserve + +* Display results + +forvalues i = 1/5 { + gen var`i' =. +} +gen str20 var6 = "" + +forvalues j=1/5 { + forvalues k = 1/3 { + replace var`j' = b_col`j'_row`k' if _n==6*(`k'-1)+1 + replace var`j' = se_col`j'_row`k' if _n==6*(`k'-1)+2 + replace var`j' = n_col`j'_row`k' if _n==6*(`k'-1)+3 + replace var`j' = ni_col`j'_row`k' if _n==6*(`k'-1)+4 + replace var`j' = ob_col`j'_row`k' if _n==6*(`k'-1)+5 + } +} + +keep var1-var6 +keep if _n<=18 + +order var6 var1-var5 + +ren var6 sampletype +ren var1 OLS_all +ren var2 RD_bwidth +ren var3 RD_match_bw +ren var4 PS_match +ren var5 PS_match_indiv + +foreach var of varlist OLS_all RD_bwidth RD_match_bw PS_match PS_match_indiv { + gen str3 `var'_stars ="*" if abs(`var'/`var'[_n+1])>=1.645 & mod(_n,6)==1 + replace `var'_stars ="**" if abs(`var'/`var'[_n+1])>=1.96 & mod(_n,6)==1 + replace `var'_stars="***" if abs(`var'/`var'[_n+1])>=2.58 & mod(_n,6)==1 +} + +replace sampletype = "All" if _n>=1 & _n<=5 +replace sampletype = "Democrats" if _n>=7 & _n<=11 +replace sampletype = "Republicans" if _n>=13 & _n<=17 + +order sampletype OLS_all OLS_all_stars RD_bwidth RD_bwidth_stars RD_match_bw RD_match_bw_stars PS_match PS_match_stars PS_match_indiv PS_match_indiv_stars + export excel using "$Output/Table10_`depvar'_WF`num'`l'", firstrow(var) replace + restore + } // closes l loop + } // closes num loop +} + +log close + diff --git a/30/replication_package/Dofiles/Table2.do b/30/replication_package/Dofiles/Table2.do new file mode 100644 index 0000000000000000000000000000000000000000..c804c61c5fcff1270a9cf183c36441f6268803f2 --- /dev/null +++ b/30/replication_package/Dofiles/Table2.do @@ -0,0 +1,90 @@ +clear +set scheme s1color +set mem 500m +set more off +set logtype text +set matsize 100 + +cap log close +log using "$Log/Table2.log", replace + + +use "$AnalysisData/bills_analysis_101-111_replication.dta", clear +keep private v2 sponsor_state_abbrev sponsor_district sponsor_term_served sponsor_female sponsor_party sponsor_age sponsor_tenure_run comc comr /* +*/ lnpop lnarea MV1_democrat numb_cosponsors_opposite numb_cosponsors pct_cosponsors_opposite plaw_cbp passh women_friend* HRnumber /* +*/ MV1_female minor house_* sponsor_age ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate /* +*/ pct_black pct_urban pct_for_born pct_age_over65 lninc sponsor_state_icpsr + +cap drop pct_cosponsors_opposite +gen pct_cosponsors_opposite = 100*numb_cosponsors_opposite/(1+numb_cosponsors) +replace pct_cosponsors_opposite=. if pct_cosponsors_opposite>100 +egen tag_bill = tag(v2 HRnumber) +egen tag_sponsor = tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) + +keep if tag_bill==1 + +bysort v2 sponsor_state_abbrev sponsor_district sponsor_term_served: egen tot_bills=count(v2) + + +local if1 = "if sponsor_party==100 | sponsor_party==200" +local if2 = "if sponsor_party==100" +local if3 = "if sponsor_party==200" + +local and1 = "& (sponsor_party==100 | sponsor_party==200)" +local and2 = "& sponsor_party==100" +local and3 = "& sponsor_party==200" + + +forvalue j=1/3{ + if `j'==1 { + di in ye "" + di in ye "" + di in ye "**********************************" + di in ye " ALL " + di in ye "**********************************" + di in ye "" + di in ye "" + } + else if `j'==2 { + di in ye "" + di in ye "" + di in ye "**********************************" + di in ye " DEMOCRATS " + di in ye "**********************************" + di in ye "" + di in ye "" + } + else if `j'==3 { + di in ye "" + di in ye "" + di in ye "**********************************" + di in ye " REPUBLICANS " + di in ye "**********************************" + di in ye "" + di in ye "" + } + + di "sum tot_bills if tag_sponsor==1 & sponsor_female!=. `and`j'', d" + sum tot_bills if tag_sponsor==1 & sponsor_female!=. `and`j'', d + di "sum tot_bills if tag_sponsor==1 & sponsor_female==0 `and`j'', d" + sum tot_bills if tag_sponsor==1 & sponsor_female==0 `and`j'', d + di "sum tot_bills if tag_sponsor==1 & sponsor_female==1 `and`j'', d" + sum tot_bills if tag_sponsor==1 & sponsor_female==1 `and`j'', d + + di "sum numb_cosponsors `if`j'', d" + sum numb_cosponsors `if`j'', d + di "sum pct_cosponsors_opposite `if`j'', d" + sum pct_cosponsors_opposite `if`j'', d + + di "sum numb_cosponsors if sponsor_female==0 `and`j'', d" + sum numb_cosponsors if sponsor_female==0 `and`j'', d + di "sum pct_cosponsors_opposite if sponsor_female==0 `and`j'', d" + sum pct_cosponsors_opposite if sponsor_female==0 `and`j'', d + + di "sum numb_cosponsors if sponsor_female==1 `and`j'', d" + sum numb_cosponsors if sponsor_female==1 `and`j'', d + di "sum pct_cosponsors_opposite if sponsor_female==1 `and`j'', d" + sum pct_cosponsors_opposite if sponsor_female==1 `and`j'', d +} + +log close diff --git a/30/replication_package/Dofiles/Table3a_3b.do b/30/replication_package/Dofiles/Table3a_3b.do new file mode 100644 index 0000000000000000000000000000000000000000..5f945d5097f56b4b2746902e9fb58bf6580f5df1 --- /dev/null +++ b/30/replication_package/Dofiles/Table3a_3b.do @@ -0,0 +1,280 @@ +clear +set mem 500m +set more off +set logtype text +set matsize 3000 + +cap log close +log using "$Log/Table3a_3b.log", replace + + +use "$AnalysisData/bills_analysis_101-111_replication.dta", clear +keep private v2 sponsor_state_abbrev sponsor_district sponsor_term_served sponsor_female sponsor_party sponsor_age sponsor_tenure_run comc comr /* +*/ lnpop lnarea MV1_democrat numb_cosponsors_opposite numb_cosponsors pct_cosponsors_opposite plaw_cbp passh women_friend* HRnumber /* +*/ MV1_female minor house_* sponsor_age ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate /* +*/ pct_black pct_urban pct_for_born pct_age_over65 lninc sponsor_state_icpsr +keep if private==0 + +bysort v2 sponsor_state_abbrev sponsor_district sponsor_term_served: egen tot_bills=count(v2) + +gen byte sponsor_democrat = sponsor_party==100 if sponsor_party~=. + +gen byte NE = sponsor_state_icpsr>=1 & sponsor_state_icpsr<=14 if sponsor_state_icpsr~=. +gen byte MW = sponsor_state_icpsr>=21 & sponsor_state_icpsr<=37 if sponsor_state_icpsr~=. +gen byte SO = sponsor_state_icpsr>=40 & sponsor_state_icpsr<=56 if sponsor_state_icpsr~=. +gen byte WE = sponsor_state_icpsr>=61 & sponsor_state_icpsr<=82 if sponsor_state_icpsr~=. + +replace sponsor_age=. if sponsor_age>100 +gen sponsor_rookie=(sponsor_tenure_run==1) if sponsor_tenure_run!=. +gen byte leader = (comc==1) | (comr==1) if comc~=. & comr~=. + +gen lnpden=lnpop-lnarea +gen absMV=abs(MV1_democrat) + +egen tag_congressmen=tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +egen tag_sponsor = tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +egen group_sponsor = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) + +cap drop pct_cosponsors_opposite +gen pct_cosponsors_opposite=100*numb_cosponsors_opposite/(numb_cosponsors+1) +replace pct_cosponsors_opposite=. if pct_cosponsors_opposite>100 + +compress + +egen tag_bill = tag(v2 HRnumber) + +gen int decade = 1980 if v2<=102 +replace decade=1990 if v2>=103 & v2<=107 +replace decade=2000 if v2>=108 + +egen district_id = group(decade sponsor_state_abbrev sponsor_district) + +local other_controls1 = "i.v2" +local other_controls2 = "i.v2 i.minor house_*" +local other_controls3 = "i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate tot_bills" +local other_controls4 = "i.v2 i.minor house_* NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden" +local other_controls5 = "i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden" + +local if1 = "if tag_bill==1" +local if2 = "if sponsor_party==100 & tag_bill==1" +local if3 = "if sponsor_party==200 & tag_bill==1" + +foreach depvar of varlist numb_cosponsors pct_cosponsors_opposite { + forvalues j=1/5 { + forvalues k = 1/3 { + + if "`depvar'"=="numb_cosponsors_opposite" { + local other_controls`j' = "numb_cosponsors `other_controls`j''" + } + if `j'==1 { + di "reg `depvar' sponsor_female `other_controls`j'' `if`k'', robust cluster(group_sponsor)" + reg `depvar' sponsor_female `other_controls`j'' `if`k'', robust cluster(group_sponsor) + } + else if `j'==2 { + di "reg `depvar' sponsor_female `other_controls`j'' `if`k'', robust cluster(group_sponsor)" + reg `depvar' sponsor_female `other_controls`j'' `if`k'', robust cluster(group_sponsor) + } + else if `j'==3 { + di "reg `depvar' sponsor_female `other_controls`j'' `if`k'', robust cluster(group_sponsor)" + reg `depvar' sponsor_female `other_controls`j'' `if`k'', robust cluster(group_sponsor) + } + else if `j'==4 { + di "reg `depvar' sponsor_female `other_controls`j'' `if`k'', robust cluster(group_sponsor)" + reg `depvar' sponsor_female `other_controls`j'' `if`k'', robust cluster(group_sponsor) + } + else if `j'==5 { + di "reg `depvar' sponsor_female `other_controls`j'' `if`k'', robust cluster(group_sponsor)" + reg `depvar' sponsor_female `other_controls`j'' `if`k'', robust cluster(group_sponsor) + } + scalar b_col`j'_row`k' = _b[sponsor_female] + scalar se_col`j'_row`k' = _se[sponsor_female] + scalar n_col`j'_row`k' = e(N) + sum tag_congressmen if tag_congressmen==1 & e(sample) + scalar ni_col`j'_row`k' = e(N_clust) + scalar ob_col`j'_row`k' = . + + } + } + + preserve + + * Display results + + forvalues i = 1/5 { + gen var`i' =. + } + gen str20 var6 = "" + + forvalues j=1/5 { + forvalues k = 1/3 { + replace var`j' = b_col`j'_row`k' if _n==6*(`k'-1)+1 + replace var`j' = se_col`j'_row`k' if _n==6*(`k'-1)+2 + replace var`j' = n_col`j'_row`k' if _n==6*(`k'-1)+3 + replace var`j' = ni_col`j'_row`k' if _n==6*(`k'-1)+4 + replace var`j' = ob_col`j'_row`k' if _n==6*(`k'-1)+5 + } + } + + keep var1-var6 + keep if _n<=18 + + order var6 var1-var5 + + ren var6 sampletype + ren var1 OLS_bas + ren var2 OLS_maj + ren var3 OLS_ind + ren var4 OLS_dis + ren var5 OLS_all + + foreach var of varlist OLS_bas OLS_maj OLS_ind OLS_dis OLS_all { + gen str3 `var'_stars ="*" if abs(`var'/`var'[_n+1])>=1.645 & mod(_n,6)==1 + replace `var'_stars ="**" if abs(`var'/`var'[_n+1])>=1.96 & mod(_n,6)==1 + replace `var'_stars="***" if abs(`var'/`var'[_n+1])>=2.58 & mod(_n,6)==1 + } + + replace sampletype = "All" if _n>=1 & _n<=5 + replace sampletype = "Democrats" if _n>=7 & _n<=11 + replace sampletype = "Republicans" if _n>=13 & _n<=17 + + order sampletype OLS_bas* OLS_maj* OLS_ind* OLS_dis* OLS_all* + export excel using "$Output/Table3a_`depvar'_OLS", firstrow(var) replace + restore +} + + +********************************************************************************************************************************* + + +use "$AnalysisData/cosponsors_analysis_101-111_replication.dta", clear + +gen byte tag_cosponsor=1 + +gen byte cosponsor_democrat = cosponsor_party==100 if cosponsor_party~=. + +gen byte cosponsor_region_NE = cosponsor_state_icpsr>=1 & cosponsor_state_icpsr<=14 if cosponsor_state_icpsr~=. +gen byte cosponsor_region_MW = cosponsor_state_icpsr>=21 & cosponsor_state_icpsr<=37 if cosponsor_state_icpsr~=. +gen byte cosponsor_region_SO = cosponsor_state_icpsr>=40 & cosponsor_state_icpsr<=56 if cosponsor_state_icpsr~=. +gen byte cosponsor_region_WE = cosponsor_state_icpsr>=61 & cosponsor_state_icpsr<=82 if cosponsor_state_icpsr~=. + +replace cosponsor_age=. if cosponsor_age>100 +gen cosponsor_rookie=(cosponsor_tenure_run==1) if cosponsor_tenure_run!=. +gen byte leader = (cosp_comc==1) | (cosp_comr==1) if cosp_comc~=. & cosp_comr~=. + +egen tag_congressmen=tag(v2 cosponsor_state_abbrev cosponsor_district cosponsor_term_served) + +gen lnpden=cosp_lnpop-cosp_lnarea +gen absMV=abs(cosp_MV1_democrat) + +cap drop pctbills_cosponsored_opp +gen pctbills_cosponsored_opp=100*nbills_cosponsored_opp/(nbills_cosponsored+1) +replace pctbills_cosponsored_opp=. if pctbills_cosponsored_opp>100 + +gen int decade = 1980 if v2<=102 +replace decade=1990 if v2>=103 & v2<=107 +replace decade=2000 if v2>=108 + +egen district_id = group(decade cosponsor_state_abbrev cosponsor_district) + +foreach name in "democrat" "tenure_run" "age" "rookie" "region_NE" "region_MW" "region_WE" { + ren cosponsor_`name' cosp_`name' +} +foreach name in "democrat" "tenure_run" "age" "rookie" "comc" "comr" "borninstate" /* +*/ "ivycoll" "black" "occ0" "occ1" "occ2" "occ3" "occ4" /* +*/ "region_NE" "region_MW" "region_WE" "pct_b" "pct_u" "pct_f" "pct_a" "lnpop" "lninc" "lnarea" { + ren cosp_`name' `name' +} + +local cosp_controls1 = "i.v2 " +local cosp_controls2 = "i.v2 house_* " +local cosp_controls3 = "i.v2 house_* democrat rookie tenure_run age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate " +local cosp_controls4 = "i.v2 house_* region_NE region_MW region_WE pct_b pct_u pct_f pct_a lninc lnpden " +local cosp_controls5 = "i.v2 house_* democrat rookie tenure_run age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate region_NE region_MW region_WE pct_b pct_u pct_f pct_a lninc lnpden " + +local cosp_if1 = "if tag_cosponsor==1" +local cosp_if2 = "if cosponsor_party==100 & tag_cosponsor==1" +local cosp_if3 = "if cosponsor_party==200 & tag_cosponsor==1" + +foreach depvar of varlist nbills_cosponsored pctbills_cosponsored_opp { + forvalues j=1/5 { + forvalues k = 1/3 { + if `j'==1 { + di "reg `depvar' cosponsor_female `cosp_controls`j'' `cosp_if`k'', robust cluster(cosponsor_v1_fix)" + reg `depvar' cosponsor_female `cosp_controls`j'' `cosp_if`k'', robust cluster(cosponsor_v1_fix) + } + else if `j'==2 { + di "reg `depvar' cosponsor_female `cosp_controls`j'' `cosp_if`k'', robust cluster(cosponsor_v1_fix)" + reg `depvar' cosponsor_female `cosp_controls`j'' `cosp_if`k'', robust cluster(cosponsor_v1_fix) + } + else if `j'==3 { + di "reg `depvar' cosponsor_female `cosp_controls`j'' `cosp_if`k'', robust cluster(cosponsor_v1_fix)" + reg `depvar' cosponsor_female `cosp_controls`j'' `cosp_if`k'', robust cluster(cosponsor_v1_fix) + } + else if `j'==4 { + di "reg `depvar' cosponsor_female `cosp_controls`j'' `cosp_if`k'', robust cluster(cosponsor_v1_fix)" + reg `depvar' cosponsor_female `cosp_controls`j'' `cosp_if`k'', robust cluster(cosponsor_v1_fix) + } + else if `j'==5 { + di "reg `depvar' cosponsor_female `cosp_controls`j'' `cosp_if`k'', robust cluster(cosponsor_v1_fix)" + reg `depvar' cosponsor_female `cosp_controls`j'' `cosp_if`k'', robust cluster(cosponsor_v1_fix) + } + scalar b_col`j'_row`k' = _b[cosponsor_female] + scalar se_col`j'_row`k' = _se[cosponsor_female] + scalar n_col`j'_row`k' = e(N) + sum tag_congressmen if tag_congressmen==1 & e(sample) + scalar ni_col`j'_row`k' = e(N_clust) + scalar ob_col`j'_row`k' = . + + } + } + + preserve + + * Display results + + forvalues i = 1/5 { + gen var`i' =. + } + gen str20 var6 = "" + + forvalues j=1/5 { + forvalues k = 1/3 { + replace var`j' = b_col`j'_row`k' if _n==6*(`k'-1)+1 + replace var`j' = se_col`j'_row`k' if _n==6*(`k'-1)+2 + replace var`j' = n_col`j'_row`k' if _n==6*(`k'-1)+3 + replace var`j' = ni_col`j'_row`k' if _n==6*(`k'-1)+4 + replace var`j' = ob_col`j'_row`k' if _n==6*(`k'-1)+5 + } + } + + keep var1-var6 + keep if _n<=18 + + order var6 var1-var5 + + ren var6 sampletype + ren var1 OLS_bas + ren var2 OLS_maj + ren var3 OLS_ind + ren var4 OLS_dis + ren var5 OLS_all + + foreach var of varlist OLS_bas OLS_maj OLS_ind OLS_dis OLS_all { + gen str3 `var'_stars ="*" if abs(`var'/`var'[_n+1])>=1.645 & mod(_n,6)==1 + replace `var'_stars ="**" if abs(`var'/`var'[_n+1])>=1.96 & mod(_n,6)==1 + replace `var'_stars="***" if abs(`var'/`var'[_n+1])>=2.58 & mod(_n,6)==1 + } + + replace sampletype = "All" if _n>=1 & _n<=5 + replace sampletype = "Democrats" if _n>=7 & _n<=11 + replace sampletype = "Republicans" if _n>=13 & _n<=17 + + order sampletype OLS_bas* OLS_maj* OLS_ind* OLS_dis* OLS_all* + export excel using "$Output/Table3b_`depvar'_OLS.xlsx", firstrow(var) replace + restore + + +} + + +log close diff --git a/30/replication_package/Dofiles/Table4a_4b.do b/30/replication_package/Dofiles/Table4a_4b.do new file mode 100644 index 0000000000000000000000000000000000000000..4dac2c1d2961560a493596cb42d2f7505457f1f6 --- /dev/null +++ b/30/replication_package/Dofiles/Table4a_4b.do @@ -0,0 +1,201 @@ +clear +set scheme s1color +set mem 500m +set more off +set logtype text +set matsize 100 + + +cap log close +log using "$Log/Table4a_4b.log", replace + + +use "$AnalysisData/bills_analysis_101-111_replication.dta" +keep if private==0 + +gen byte sponsor_democrat = sponsor_party==100 if sponsor_party~=. + +gen byte sponsor_NE = sponsor_state_icpsr>=1 & sponsor_state_icpsr<=14 if sponsor_state_icpsr~=. +gen byte sponsor_MW = sponsor_state_icpsr>=21 & sponsor_state_icpsr<=37 if sponsor_state_icpsr~=. +gen byte sponsor_SO = sponsor_state_icpsr>=40 & sponsor_state_icpsr<=56 if sponsor_state_icpsr~=. +gen byte sponsor_WE = sponsor_state_icpsr>=61 & sponsor_state_icpsr<=82 if sponsor_state_icpsr~=. + +replace sponsor_age=. if sponsor_age>100 +gen sponsor_rookie=(sponsor_tenure_run==1) if sponsor_tenure_run!=. +gen byte leader = (comc==1) | (comr==1) if comc~=. & comr~=. + +gen lnpden=lnpop-lnarea +gen absMV=abs(MV1_democrat) + +compress + +egen tag_bill = tag(v2 HRnumber) +egen tag_sponsor = tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +egen group_sponsor = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) + +gen int decade = 1980 if v2<=102 +replace decade=1990 if v2>=103 & v2<=107 +replace decade=2000 if v2>=108 + +egen district_id = group(decade sponsor_state_abbrev sponsor_district) + + +** Balance tests + +label var sponsor_NE "North-East" +label var sponsor_MW "Mid-West" +label var sponsor_SO "South" +label var sponsor_WE "West" +replace pct_black=pct_black*100 +label var pct_black "% Black" +replace pct_urban=pct_urban*100 +label var pct_urban "% Urban" +replace pct_for_born=pct_for_born*100 +label var pct_for_born "% Foreign" +replace pct_age_over65=pct_age_over65*100 +label var pct_age_over65 "% Over-65" +label var lnpden "Ln Pop. Density" +label var lag_demshare1 "Democratic t-1" +label var DSpndPct "% Camp. Exp. D/R" +label var sponsor_female "Female candidate" + +replace sponsor_age=. if sponsor_age>100 +sort tag_sponsor sponsor_state_abbrev sponsor_district v2 +bysort tag_sponsor sponsor_state_abbrev sponsor_district: gen inc=sponsor_name[_n-1]==sponsor_name if sponsor_name!="" & sponsor_name[_n-1]!="" & tag_sponsor==1 +bysort sponsor_state_abbrev sponsor_district v2 sponsor_name: egen sponsor_incumbent=max(inc) +replace sponsor_incumbent=. if v2==103 | v2==108 +drop inc + +label var sponsor_age "Age" +label var sponsor_tenure_run "Terms in office" +label var sponsor_rookie "Rookie" +label var sponsor_incumbent "Incumbent" +label var sponsor_democrat "Democrat" +label var comc "Chair committee" +label var comr "Rank committee" +label var leader "Chair/Rank committee" +label var dwnom1 "DW-nominate" +label var borninstate "Born in State" +label var agestart "Entry age" +label var anycoll "Any college" +label var ivycoll "Ivy-league college" +label var occ0 "No occupation" +label var occ1 "Education" +label var occ2 "Lawyer" +label var occ3 "Professional" +label var occ4 "Business" +label var occ5 "Agriculture" +label var occ6 "Other" +label var black "Black" + +local if1 = "if tag_sponsor==1" +local if2 = "if tag_sponsor==1 & sponsor_party==100" +local if3 = "if tag_sponsor==1 & sponsor_party==200" +local Party1 = "ALL" +local Party2 = "D" +local Party3 = "R" + +forvalues j = 1/3 { + foreach var of varlist sponsor_NE sponsor_MW sponsor_SO sponsor_WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden lag_demshare1 DSpndPct /* + */ absMV sponsor_democrat sponsor_tenure_run sponsor_rookie sponsor_age leader borninstate ivycoll occ0 occ1 occ2 occ3 occ4 occ6 black { + local ct: var label `var' + sum `var' `if`j'' & sponsor_female==1 + scalar S1_`var' = r(sd) + + sum `var' `if`j'' & sponsor_female==0 + scalar S0_`var' = r(sd) + + rdbwselect_2014 `var' MV1_female `if`j'', c(0) kernel(uniform) + local band = e(h_CCT) + + forvalues i=1/5 { + if `i'==1 { + * 1) OLS balancing: simple diff. in means + reg `var' sponsor_female `if`j'', robust cluster(group_sponsor) + scalar b_`var'_`j'_`i' = _b[sponsor_female] + scalar se_`var'_`j'_`i' = _se[sponsor_female] + scalar t_`var'_`j'_`i' = b_`var'_`j'_`i'/se_`var'_`j'_`i' + scalar stdiff_`var'_`j'_`i' = b_`var'_`j'_`i'/sqrt(S1_`var'^2 + S0_`var'^2) + } + else if `i'==2 { + * 2) RD: optimal bandwidth + reg `var' sponsor_female MV1_female femaleXMV1_female `if`j'' & abs(MV1_female)<=`band', robust cluster(group_sponsor) + scalar b_`var'_`j'_`i' = _b[sponsor_female] + scalar se_`var'_`j'_`i' = _se[sponsor_female] + scalar t_`var'_`j'_`i' = b_`var'_`j'_`i'/se_`var'_`j'_`i' + scalar stdiff_`var'_`j'_`i' = b_`var'_`j'_`i'/sqrt(S1_`var'^2 + S0_`var'^2) + } + else if `i'==3 { + * 3) RD + Pscore matching: pscore=f(district) + qui probit sponsor_female i.v2 sponsor_NE sponsor_MW sponsor_SO sponsor_WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden `if`j'' & abs(MV1_female)<=`band' + predict pscore if e(sample)==1 + gen wt = 1/pscore if sponsor_female==1 + replace wt =1/(1-pscore) if sponsor_female==0 + reg `var' sponsor_female MV1_female femaleXMV1_female [aw=wt] `if`j'' & abs(MV1_female)<=`band', robust cluster(group_sponsor) + scalar b_`var'_`j'_`i' = _b[sponsor_female] + scalar se_`var'_`j'_`i' = _se[sponsor_female] + scalar t_`var'_`j'_`i' = b_`var'_`j'_`i'/se_`var'_`j'_`i' + scalar stdiff_`var'_`j'_`i' = b_`var'_`j'_`i'/sqrt(S1_`var'^2 + S0_`var'^2) + drop pscore wt + } + else if `i'==4 { + * 4) Pscore matching: pscore=f(district, absMV), sample=all + qui probit sponsor_female i.v2 sponsor_NE sponsor_MW sponsor_SO sponsor_WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden absMV `if`j'' + predict pscore if e(sample)==1 + gen wt = 1/pscore if sponsor_female==1 + replace wt =1/(1-pscore) if sponsor_female==0 + reg `var' sponsor_female [aw=wt] `if`j'', robust cluster(group_sponsor) + scalar b_`var'_`j'_`i' = _b[sponsor_female] + scalar se_`var'_`j'_`i' = _se[sponsor_female] + scalar t_`var'_`j'_`i' = b_`var'_`j'_`i'/se_`var'_`j'_`i' + scalar stdiff_`var'_`j'_`i' = b_`var'_`j'_`i'/sqrt(S1_`var'^2 + S0_`var'^2) + drop pscore wt + } + } + } +} + + + + +* Display results + +forvalues j=1/3{ + gen str50 statistic_`j' = "" + forvalues i = 1/4 { + gen var_`j'_`i' =. + } +} + + +forvalues j=1/3 { + local k = 0 + foreach var in "sponsor_NE" "sponsor_MW" "sponsor_SO" "sponsor_WE" "pct_black" "pct_urban" "pct_for_born" "pct_age_over65" "lninc" "lnpden" "lag_demshare1" "DSpndPct" /* + */ "absMV" "sponsor_democrat" "sponsor_tenure_run" "sponsor_rookie" "sponsor_age" "leader" "borninstate" "ivycoll" "occ0" "occ1" "occ2" "occ3" "occ4" "occ6" "black" { + local k = `k'+1 + replace statistic_`j' = "stdiff_`var'_`j'" if _n==2*(`k'-1)+1 + forvalues i=1/4 { + replace var_`j'_`i' = stdiff_`var'_`j'_`i' if _n==2*(`k'-1)+1 + } + } +} + +forvalues j=1/3 { + preserve + keep statistic_`j' var_`j'_* + order statistic_`j' var_`j'_* + keep if _n<=200 + ren var_`j'_1 raw + ren var_`j'_2 rd_llr + ren var_`j'_3 rd_ps + ren var_`j'_4 ps1_all + export excel using "$Output/Table4_BalancingTests_`Party`j''", firstrow(var) replace + restore +} + + +log close + + + + diff --git a/30/replication_package/Dofiles/Table5.do b/30/replication_package/Dofiles/Table5.do new file mode 100644 index 0000000000000000000000000000000000000000..4f65479e3b5f803f72759070d1b13e8f27b4dc88 --- /dev/null +++ b/30/replication_package/Dofiles/Table5.do @@ -0,0 +1,194 @@ +clear +set mem 500m +set more off +set logtype text +set matsize 3000 + +cap log close +log using "$Log/Table5.log", replace + + +use "$AnalysisData/bills_analysis_101-111_replication.dta" +keep if private==0 + +bysort v2 sponsor_state_abbrev sponsor_district sponsor_term_served: egen tot_bills=count(v2) + +gen byte sponsor_democrat = sponsor_party==100 if sponsor_party~=. + +gen byte NE = sponsor_state_icpsr>=1 & sponsor_state_icpsr<=14 if sponsor_state_icpsr~=. +gen byte MW = sponsor_state_icpsr>=21 & sponsor_state_icpsr<=37 if sponsor_state_icpsr~=. +gen byte SO = sponsor_state_icpsr>=40 & sponsor_state_icpsr<=56 if sponsor_state_icpsr~=. +gen byte WE = sponsor_state_icpsr>=61 & sponsor_state_icpsr<=82 if sponsor_state_icpsr~=. + +replace sponsor_age=. if sponsor_age>100 +gen sponsor_rookie=(sponsor_tenure_run==1) if sponsor_tenure_run!=. +gen byte leader = (comc==1) | (comr==1) if comc~=. & comr~=. + +gen lnpden=lnpop-lnarea +gen absMV=abs(MV1_democrat) + +egen tag_congressmen=tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +egen group_congressmen = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +egen tag_sponsor = tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +egen group_sponsor = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) + +bysort v2 sponsor_state_abbrev sponsor_district sponsor_term_served: egen numb_cosponsors_m=mean(numb_cosponsors) + +cap drop pct_cosponsors_opposite +gen pct_cosponsors_opposite=100*numb_cosponsors_opposite/(numb_cosponsors+1) +replace pct_cosponsors_opposite=. if pct_cosponsors_opposite>100 + +compress + +egen tag_bill = tag(v2 HRnumber) + +gen int decade = 1980 if v2<=102 +replace decade=1990 if v2>=103 & v2<=107 +replace decade=2000 if v2>=108 + +egen district_id = group(decade sponsor_state_abbrev sponsor_district) + +local controls1 = "i.v2 " +local controls2 = "i.v2 MV1_female femaleXMV1_female " +local controls3 = "i.v2 MV1_female femaleXMV1_female " +local controls4 = "i.v2 " +local controls5 = "i.v2 " + +local other_controls = "i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden" +local billchars = "i.minor house_*" +local indivchars = "sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate tot_bills" +local districtchars = "NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden" + +local if1 = "if tag_bill==1" +local if2 = "if sponsor_party==100 & tag_bill==1" +local if3 = "if sponsor_party==200 & tag_bill==1" + +foreach depvar of varlist numb_cosponsors pct_cosponsors_opposite { + forvalues j=1/5 { + forvalues k = 1/3 { + qui reg `depvar' sponsor_female `controls2' `other_controls' `if`k'' & mixed_gender_election==1, robust cluster(group_sponsor) + qui gen sample=e(sample) + + di "" + di "" + di "j = ", `j', "k = ", `k' + di "" + di "" + + di "rdbwselect_2014 `depvar' MV1_female `if`k'', c(0) kernel(uniform)" + rdbwselect_2014 `depvar' MV1_female `if`k'', c(0) kernel(uniform) + local band = e(h_CCT) + + if `j'==1 { + di "reg `depvar' sponsor_female `controls`j'' `other_controls' `if`k'', robust cluster(group_sponsor)" + reg `depvar' sponsor_female `controls`j'' `other_controls' `if`k'', robust cluster(group_sponsor) + } + else if `j'==2 { + di "reg `depvar' sponsor_female `controls`j'' `if`k'' & sample==1 & abs(MV1_female)<=`band', robust cluster(group_sponsor)" + reg `depvar' sponsor_female `controls`j'' `if`k'' & sample==1 & abs(MV1_female)<=`band', robust cluster(group_sponsor) + } + else if `j'==3 { + qui probit sponsor_female i.v2 `districtchars' `if`k'' & tag_sponsor==1 & abs(MV1_female)<=`band' + predict pscore if sample==1 + gen wt = 1/pscore if sponsor_female==1 + replace wt =1/(1-pscore) if sponsor_female==0 + di "reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & sample==1 & abs(MV1_female)<=`band', robust cluster(group_sponsor)" + reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & sample==1 & abs(MV1_female)<=`band', robust cluster(group_sponsor) + drop pscore wt + } + else if `j'==4 { + qui probit sponsor_female i.v2 `districtchars' absMV `if`k'' & tag_sponsor==1 + predict pscore + gen wt = 1/pscore if sponsor_female==1 + replace wt =1/(1-pscore) if sponsor_female==0 + di "reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'', robust cluster(group_sponsor)" + reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'', robust cluster(group_sponsor) + drop pscore wt + } + else if `j'==5 { + qui probit sponsor_female i.v2 `districtchars' `indivchars' absMV `if`k'' & tag_sponsor==1 + predict pscore + gen wt = 1/pscore if sponsor_female==1 + replace wt =1/(1-pscore) if sponsor_female==0 + di "reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'', robust cluster(group_sponsor)" + reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'', robust cluster(group_sponsor) + drop pscore wt + } + + if `j'~=2 & `j'~=3 { + scalar b_col`j'_row`k' = _b[sponsor_female] + scalar se_col`j'_row`k' = _se[sponsor_female] + scalar n_col`j'_row`k' = e(N) + sum tag_congressmen if tag_congressmen==1 & e(sample) + scalar ni_col`j'_row`k' = e(N_clust) + scalar ob_col`j'_row`k' = . + } + else if `j'==2 | `j'==3 { + scalar b_col`j'_row`k' = _b[sponsor_female] + scalar se_col`j'_row`k' = _se[sponsor_female] + scalar n_col`j'_row`k' = e(N) + sum tag_congressmen if tag_congressmen==1 & e(sample) + scalar ni_col`j'_row`k' = e(N_clust) + scalar ob_col`j'_row`k' = round(`band') + } + + drop sample + + } + } + + preserve + + * Display results + + forvalues i = 1/5 { + gen var`i' =. + } + gen str20 var6 = "" + + forvalues j=1/5 { + forvalues k = 1/3 { + replace var`j' = b_col`j'_row`k' if _n==6*(`k'-1)+1 + replace var`j' = se_col`j'_row`k' if _n==6*(`k'-1)+2 + replace var`j' = n_col`j'_row`k' if _n==6*(`k'-1)+3 + replace var`j' = ni_col`j'_row`k' if _n==6*(`k'-1)+4 + replace var`j' = ob_col`j'_row`k' if _n==6*(`k'-1)+5 + } + } + + keep var1-var6 + keep if _n<=18 + + order var6 var1-var5 + + ren var6 sampletype + ren var1 OLS_all + ren var2 RD_bwidth + ren var3 RD_match_bw + ren var4 PS_match + ren var5 PS_match_indiv + + foreach var of varlist OLS_all RD_bwidth RD_match_bw PS_match PS_match_indiv { + gen str3 `var'_stars ="*" if abs(`var'/`var'[_n+1])>=1.645 & mod(_n,6)==1 + replace `var'_stars ="**" if abs(`var'/`var'[_n+1])>=1.96 & mod(_n,6)==1 + replace `var'_stars="***" if abs(`var'/`var'[_n+1])>=2.58 & mod(_n,6)==1 + } + + replace sampletype = "All" if _n>=1 & _n<=5 + replace sampletype = "Democrats" if _n>=7 & _n<=11 + replace sampletype = "Republicans" if _n>=13 & _n<=17 + + order sampletype OLS_all OLS_all_stars RD_bwidth RD_bwidth_stars RD_match_bw RD_match_bw_stars PS_match PS_match_stars PS_match_indiv PS_match_indiv_stars + if "`depvar'"=="numb_cosponsors" { + export excel using "$Output/Table5_TopPanel_Cosponsors", firstrow(var) replace + } + else if "`depvar'"=="pct_cosponsors_opposite" { + export excel using "$Output/Table5_BottomPanel_PctCosponsorsOpposite", firstrow(var) replace + } + + restore +} + + +log close + diff --git a/30/replication_package/Dofiles/Table6.do b/30/replication_package/Dofiles/Table6.do new file mode 100644 index 0000000000000000000000000000000000000000..e26de595a14497ad3780809de7e3c69d6aba0e18 --- /dev/null +++ b/30/replication_package/Dofiles/Table6.do @@ -0,0 +1,216 @@ +clear +set mem 500m +set more off +set logtype text +set matsize 3000 + +cap log close +log using "$Log/Table6.log", replace + + +use "$AnalysisData/bills_analysis_101-111_replication.dta" +keep if private==0 + +bysort v2 sponsor_state_abbrev sponsor_district sponsor_term_served: egen tot_bills=count(v2) + +gen byte sponsor_democrat = sponsor_party==100 if sponsor_party~=. + +gen byte NE = sponsor_state_icpsr>=1 & sponsor_state_icpsr<=14 if sponsor_state_icpsr~=. +gen byte MW = sponsor_state_icpsr>=21 & sponsor_state_icpsr<=37 if sponsor_state_icpsr~=. +gen byte SO = sponsor_state_icpsr>=40 & sponsor_state_icpsr<=56 if sponsor_state_icpsr~=. +gen byte WE = sponsor_state_icpsr>=61 & sponsor_state_icpsr<=82 if sponsor_state_icpsr~=. + +replace sponsor_age=. if sponsor_age>100 +gen sponsor_rookie=(sponsor_tenure_run==1) if sponsor_tenure_run!=. +gen byte leader = (comc==1) | (comr==1) if comc~=. & comr~=. + +gen lnpden=lnpop-lnarea +gen absMV=abs(MV1_democrat) + +egen group_congressmen = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +egen tag_sponsor = tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +egen group_sponsor = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) + +rename numb_cosponsors_tenure_59 numb_cosponsors_ten_59 +rename numb_cosponsors_tenure_10plus numb_cosponsors_ten_10p +egen tag_congressmen=tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) + +cap drop pct_cosponsors_fem +gen pct_cosponsors_fem=100*numb_cosponsors_fem/(numb_cosponsors+1) +replace pct_cosponsors_fem=. if pct_cosponsors_fem>100 + +cap drop pct_cosponsors_leader +gen pct_cosponsors_leader=100*numb_cosponsors_leader/(numb_cosponsors+1) +replace pct_cosponsors_leader=. if pct_cosponsors_leader>100 + +gen numb_cosponsors_ten_5p=numb_cosponsors_ten_59+numb_cosponsors_ten_10p +gen pct_cosponsors_ten_5p=100*numb_cosponsors_ten_5p/(numb_cosponsors+1) +replace pct_cosponsors_ten_5p=. if pct_cosponsors_ten_5p>100 + +compress + +egen tag_bill = tag(v2 HRnumber) + +gen int decade = 1980 if v2<=102 +replace decade=1990 if v2>=103 & v2<=107 +replace decade=2000 if v2>=108 + +egen district_id = group(decade sponsor_state_abbrev sponsor_district) + +gen maj_house=0 +replace maj_house=1 if v2==101 & sponsor_party==100 +replace maj_house=1 if v2==102 & sponsor_party==100 +replace maj_house=1 if v2==103 & sponsor_party==100 +replace maj_house=1 if v2==104 & sponsor_party==200 +replace maj_house=1 if v2==105 & sponsor_party==200 +replace maj_house=1 if v2==106 & sponsor_party==200 +replace maj_house=1 if v2==107 & sponsor_party==200 +replace maj_house=1 if v2==108 & sponsor_party==200 +replace maj_house=1 if v2==109 & sponsor_party==200 +replace maj_house=1 if v2==110 & sponsor_party==100 +replace maj_house=1 if v2==111 & sponsor_party==100 +replace maj_house=1 if v2==112 & sponsor_party==200 +replace maj_house=1 if v2==113 & sponsor_party==200 + +local controls1 = "i.v2 " +local controls2 = "i.v2 MV1_female femaleXMV1_female " +local controls3 = "i.v2 MV1_female femaleXMV1_female " +local controls4 = "i.v2 " +local controls5 = "i.v2 " + +local other_controls = "i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden" +local billchars = "i.minor house_*" +local indivchars = "sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate tot_bills" +local districtchars = "NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden" + +local if1 = "if tag_bill==1" +local if2 = "if sponsor_party==100 & tag_bill==1" +local if3 = "if sponsor_party==200 & tag_bill==1" + +foreach var of varlist var_cosp_dwnom1_spons m_betweenness_w_spons { + replace `var'=`var'*1000 +} + + + +foreach depvar of varlist pct_cosponsors_fem pct_cosponsors_leader pct_cosponsors_ten_5p m_betweenness_w_spons var_cosp_dwnom1_spons { + forvalues j=1/5 { + forvalues k = 1/3 { + qui reg `depvar' sponsor_female `controls3' `other_controls' `if`k'' & mixed_gender_election==1, robust cluster(group_sponsor) + qui gen sample=e(sample) + + di "" + di "" + di "j = ", `j', "k = ", `k' + di "" + di "" + + di "rdbwselect_2014 `depvar' MV1_female `if`k'', c(0) kernel(uniform)" + rdbwselect_2014 `depvar' MV1_female `if`k'', c(0) kernel(uniform) + local band = e(h_CCT) + + if `j'==1 { + di "reg `depvar' sponsor_female `controls`j'' `other_controls' `if`k'', robust cluster(group_sponsor)" + reg `depvar' sponsor_female `controls`j'' `other_controls' `if`k'', robust cluster(group_sponsor) + } + else if `j'==2 { + di "reg `depvar' sponsor_female `controls`j'' `if`k'' & sample==1 & abs(MV1_female)<=`band', robust cluster(group_sponsor)" + reg `depvar' sponsor_female `controls`j'' `if`k'' & sample==1 & abs(MV1_female)<=`band', robust cluster(group_sponsor) + } + else if `j'==3 { + qui probit sponsor_female i.v2 `districtchars' `if`k'' & tag_sponsor==1 & abs(MV1_female)<=`band' + predict pscore if sample==1 + gen wt = 1/pscore if sponsor_female==1 + replace wt =1/(1-pscore) if sponsor_female==0 + di "reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & sample==1 & abs(MV1_female)<=`band', robust cluster(group_sponsor)" + reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & sample==1 & abs(MV1_female)<=`band', robust cluster(group_sponsor) + drop pscore wt + } + else if `j'==4 { + qui probit sponsor_female i.v2 `districtchars' absMV `if`k'' & tag_sponsor==1 + predict pscore + gen wt = 1/pscore if sponsor_female==1 + replace wt =1/(1-pscore) if sponsor_female==0 + di "reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'', robust cluster(group_sponsor)" + reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'', robust cluster(group_sponsor) + drop pscore wt + } + else if `j'==5 { + qui probit sponsor_female i.v2 `districtchars' `indivchars' absMV `if`k'' & tag_sponsor==1 + predict pscore + gen wt = 1/pscore if sponsor_female==1 + replace wt =1/(1-pscore) if sponsor_female==0 + di "reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'', robust cluster(group_sponsor)" + reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'', robust cluster(group_sponsor) + drop pscore wt + } + + if `j'~=2 & `j'~=3 { + scalar b_col`j'_row`k' = _b[sponsor_female] + scalar se_col`j'_row`k' = _se[sponsor_female] + scalar n_col`j'_row`k' = e(N) + sum tag_congressmen if tag_congressmen==1 & e(sample) + scalar ni_col`j'_row`k' = e(N_clust) + scalar ob_col`j'_row`k' = . + } + else if `j'==2 | `j'==3 { + scalar b_col`j'_row`k' = _b[sponsor_female] + scalar se_col`j'_row`k' = _se[sponsor_female] + scalar n_col`j'_row`k' = e(N) + sum tag_congressmen if tag_congressmen==1 & e(sample) + scalar ni_col`j'_row`k' = e(N_clust) + scalar ob_col`j'_row`k' = round(`band') + } + drop sample + + } + } + +preserve + +* Display results + +forvalues i = 1/5 { + gen var`i' =. +} +gen str20 var6 = "" + +forvalues j=1/5 { + forvalues k = 1/3 { + replace var`j' = b_col`j'_row`k' if _n==6*(`k'-1)+1 + replace var`j' = se_col`j'_row`k' if _n==6*(`k'-1)+2 + replace var`j' = n_col`j'_row`k' if _n==6*(`k'-1)+3 + replace var`j' = ni_col`j'_row`k' if _n==6*(`k'-1)+4 + replace var`j' = ob_col`j'_row`k' if _n==6*(`k'-1)+5 + } +} + +keep var1-var6 +keep if _n<=18 + +order var6 var1-var5 + +ren var6 sampletype +ren var1 OLS_all +ren var2 RD_bwidth +ren var3 RD_match_bw +ren var4 PS_match +ren var5 PS_match_indiv + +foreach var of varlist OLS_all RD_bwidth RD_match_bw PS_match PS_match_indiv { + gen str3 `var'_stars ="*" if abs(`var'/`var'[_n+1])>=1.645 & mod(_n,6)==1 + replace `var'_stars ="**" if abs(`var'/`var'[_n+1])>=1.96 & mod(_n,6)==1 + replace `var'_stars="***" if abs(`var'/`var'[_n+1])>=2.58 & mod(_n,6)==1 +} + +replace sampletype = "All" if _n>=1 & _n<=5 +replace sampletype = "Democrats" if _n>=7 & _n<=11 +replace sampletype = "Republicans" if _n>=13 & _n<=17 + +order sampletype OLS_all OLS_all_stars RD_bwidth RD_bwidth_stars RD_match_bw RD_match_bw_stars PS_match PS_match_stars PS_match_indiv PS_match_indiv_stars + export excel using "$Output/Table6_`depvar'", firstrow(var) replace +restore +} + +log close + diff --git a/30/replication_package/Dofiles/Table7.do b/30/replication_package/Dofiles/Table7.do new file mode 100644 index 0000000000000000000000000000000000000000..12c2ce6f3760b349d94ca390d20c987bc90e9ca3 --- /dev/null +++ b/30/replication_package/Dofiles/Table7.do @@ -0,0 +1,187 @@ +clear +set mem 500m +set more off +set logtype text +set matsize 3000 + +cap log close +log using "$Log/Table7.log", replace + + +use "$AnalysisData/bills_analysis_101-111_replication.dta" +keep if private==0 + +bysort v2 sponsor_state_abbrev sponsor_district sponsor_term_served: egen tot_bills=count(v2) + +gen byte sponsor_democrat = sponsor_party==100 if sponsor_party~=. + +gen byte NE = sponsor_state_icpsr>=1 & sponsor_state_icpsr<=14 if sponsor_state_icpsr~=. +gen byte MW = sponsor_state_icpsr>=21 & sponsor_state_icpsr<=37 if sponsor_state_icpsr~=. +gen byte SO = sponsor_state_icpsr>=40 & sponsor_state_icpsr<=56 if sponsor_state_icpsr~=. +gen byte WE = sponsor_state_icpsr>=61 & sponsor_state_icpsr<=82 if sponsor_state_icpsr~=. + +replace sponsor_age=. if sponsor_age>100 +gen sponsor_rookie=(sponsor_tenure_run==1) if sponsor_tenure_run!=. +gen byte leader = (comc==1) | (comr==1) if comc~=. & comr~=. + +gen lnpden=lnpop-lnarea +gen absMV=abs(MV1_democrat) + +egen tag_congressmen=tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +egen group_congressmen = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +egen tag_sponsor = tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +egen group_sponsor = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) + +cap drop pct_cosponsors_opposite +gen pct_cosponsors_opposite=100*numb_cosponsors_opposite/(numb_cosponsors+1) +replace pct_cosponsors_opposite=. if pct_cosponsors_opposite>100 + +compress + +egen tag_bill = tag(v2 HRnumber) + +gen int decade = 1980 if v2<=102 +replace decade=1990 if v2>=103 & v2<=107 +replace decade=2000 if v2>=108 + +egen district_id = group(decade sponsor_state_abbrev sponsor_district) + +local controls1 = "i.v2 " +local controls2 = "i.v2 MV1_female femaleXMV1_female " +local controls3 = "i.v2 MV1_female femaleXMV1_female " +local controls4 = "i.v2 " +local controls5 = "i.v2 " + +local other_controls = "i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden" +local billchars = "i.minor house_*" +local indivchars = "sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate tot_bills" +local districtchars = "NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden" + +local if1 = "if tag_bill==1" +local if2 = "if sponsor_party==100 & tag_bill==1" +local if3 = "if sponsor_party==200 & tag_bill==1" + +gen tenured=sponsor_tenure>=5 if sponsor_tenure!=. + +foreach depvar of varlist numb_cosponsors { + forvalues l = 0/1 { + forvalues j = 1/5 { + forvalues k = 1/3 { + qui reg `depvar' sponsor_female `controls3' `other_controls' `if`k'' & mixed_gender_election==1 & tenured==`l', robust cluster(group_sponsor) + qui gen sample=e(sample) + + di "" + di "" + di "j = ", `j', "k = ", `k' + di "" + di "" + + di "rdbwselect_2014 `depvar' MV1_female `if`k'', c(0) kernel(uniform)" + rdbwselect_2014 `depvar' MV1_female `if`k'', c(0) kernel(uniform) + local band = e(h_CCT) + + if `j'==1 { + di "reg `depvar' sponsor_female `controls`j'' `other_controls' `if`k'' & tenured==`l', robust cluster(group_sponsor)" + reg `depvar' sponsor_female `controls`j'' `other_controls' `if`k'' & tenured==`l', robust cluster(group_sponsor) + } + else if `j'==2 { + di "reg `depvar' sponsor_female `controls`j'' `if`k'' & sample==1 & abs(MV1_female)<=`band' & tenured==`l', robust cluster(group_sponsor)" + reg `depvar' sponsor_female `controls`j'' `if`k'' & sample==1 & abs(MV1_female)<=`band' & tenured==`l', robust cluster(group_sponsor) + } + else if `j'==3 { + qui probit sponsor_female i.v2 `districtchars' `if`k'' & tag_sponsor==1 & abs(MV1_female)<=`band' + predict pscore if sample==1 + gen wt = 1/pscore if sponsor_female==1 + replace wt =1/(1-pscore) if sponsor_female==0 + di "reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & sample==1 & tenured==`l' & abs(MV1_female)<=`band', robust cluster(group_sponsor)" + reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & sample==1 & tenured==`l' & abs(MV1_female)<=`band', robust cluster(group_sponsor) + drop pscore wt + } + else if `j'==4 { + qui probit sponsor_female i.v2 `districtchars' absMV `if`k'' & tag_sponsor==1 + predict pscore + gen wt = 1/pscore if sponsor_female==1 + replace wt =1/(1-pscore) if sponsor_female==0 + di "reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & tenured==`l', robust cluster(group_sponsor)" + reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & tenured==`l', robust cluster(group_sponsor) + drop pscore wt + } + else if `j'==5 { + qui probit sponsor_female i.v2 `districtchars' `indivchars' absMV `if`k'' & tag_sponsor==1 + predict pscore + gen wt = 1/pscore if sponsor_female==1 + replace wt =1/(1-pscore) if sponsor_female==0 + di "reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & tenured==`l', robust cluster(group_sponsor)" + reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & tenured==`l', robust cluster(group_sponsor) + drop pscore wt + } + + if `j'~=2 & `j'~=3 { + scalar b_col`j'_row`k' = _b[sponsor_female] + scalar se_col`j'_row`k' = _se[sponsor_female] + scalar n_col`j'_row`k' = e(N) + sum tag_congressmen if tag_congressmen==1 & e(sample) + scalar ni_col`j'_row`k' = e(N_clust) + scalar ob_col`j'_row`k' = . + } + else if `j'==2 | `j'==3 { + scalar b_col`j'_row`k' = _b[sponsor_female] + scalar se_col`j'_row`k' = _se[sponsor_female] + scalar n_col`j'_row`k' = e(N) + sum tag_congressmen if tag_congressmen==1 & e(sample) + scalar ni_col`j'_row`k' = e(N_clust) + scalar ob_col`j'_row`k' = round(`band') + } + + drop sample + } // closes j loop + } // closes k loop + + preserve + +* Display results + +forvalues i = 1/5 { + gen var`i' =. +} +gen str20 var6 = "" + +forvalues j=1/5 { + forvalues k = 1/3 { + replace var`j' = b_col`j'_row`k' if _n==6*(`k'-1)+1 + replace var`j' = se_col`j'_row`k' if _n==6*(`k'-1)+2 + replace var`j' = n_col`j'_row`k' if _n==6*(`k'-1)+3 + replace var`j' = ni_col`j'_row`k' if _n==6*(`k'-1)+4 + replace var`j' = ob_col`j'_row`k' if _n==6*(`k'-1)+5 + } +} + +keep var1-var6 +keep if _n<=18 + +order var6 var1-var5 + +ren var6 sampletype +ren var1 OLS_all +ren var2 RD_bwidth +ren var3 RD_match_bw +ren var4 PS_match +ren var5 PS_match_indiv + +foreach var of varlist OLS_all RD_bwidth RD_match_bw PS_match PS_match_indiv { + gen str3 `var'_stars ="*" if abs(`var'/`var'[_n+1])>=1.645 & mod(_n,6)==1 + replace `var'_stars ="**" if abs(`var'/`var'[_n+1])>=1.96 & mod(_n,6)==1 + replace `var'_stars="***" if abs(`var'/`var'[_n+1])>=2.58 & mod(_n,6)==1 +} + +replace sampletype = "All" if _n>=1 & _n<=5 +replace sampletype = "Democrats" if _n>=7 & _n<=11 +replace sampletype = "Republicans" if _n>=13 & _n<=17 + +order sampletype OLS_all OLS_all_stars RD_bwidth RD_bwidth_stars RD_match_bw RD_match_bw_stars PS_match PS_match_stars PS_match_indiv PS_match_indiv_stars + export excel using "$Output/Table7_`depvar'_T`l'", firstrow(var) replace + restore + } // closes l loop +} + +log close diff --git a/30/replication_package/Dofiles/Table8.do b/30/replication_package/Dofiles/Table8.do new file mode 100644 index 0000000000000000000000000000000000000000..40236222e78564d2d3b2ab6f26b5d631090a7b2b --- /dev/null +++ b/30/replication_package/Dofiles/Table8.do @@ -0,0 +1,197 @@ +clear +set mem 500m +set more off +set logtype text +set matsize 3000 + +cap log close +log using "$Log/Table8.log", replace + + +use "$AnalysisData/bills_analysis_101-111_replication.dta" + +keep if private==0 + +bysort v2 sponsor_state_abbrev sponsor_district sponsor_term_served: egen tot_bills=count(v2) + +gen byte sponsor_democrat = sponsor_party==100 if sponsor_party~=. + +gen byte NE = sponsor_state_icpsr>=1 & sponsor_state_icpsr<=14 if sponsor_state_icpsr~=. +gen byte MW = sponsor_state_icpsr>=21 & sponsor_state_icpsr<=37 if sponsor_state_icpsr~=. +gen byte SO = sponsor_state_icpsr>=40 & sponsor_state_icpsr<=56 if sponsor_state_icpsr~=. +gen byte WE = sponsor_state_icpsr>=61 & sponsor_state_icpsr<=82 if sponsor_state_icpsr~=. + +replace sponsor_age=. if sponsor_age>100 +gen sponsor_rookie=(sponsor_tenure_run==1) if sponsor_tenure_run!=. +gen byte leader = (comc==1) | (comr==1) if comc~=. & comr~=. + +gen lnpden=lnpop-lnarea +gen absMV=abs(MV1_democrat) + +egen tag_congressmen=tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +egen group_congressmen = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +egen tag_sponsor = tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +egen group_sponsor = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) + +cap drop pct_cosponsors_opposite +gen pct_cosponsors_opposite=100*numb_cosponsors_opposite/(numb_cosponsors+1) +replace pct_cosponsors_opposite=. if pct_cosponsors_opposite>100 + +foreach num of numlist 1 3 { + foreach var of varlist numb_cosponsors numb_cosponsors_opposite { + gen `var'`num'=`var' if women_friend`num'==1 + replace `var'`num'=0 if women_friend`num'==0 + } + gen pct_cosponsors_opposite`num'=100*numb_cosponsors_opposite`num'/(numb_cosponsors`num'+1) + replace pct_cosponsors_opposite`num'=. if pct_cosponsors_opposite`num'>100 +} + +compress + +egen tag_bill = tag(v2 HRnumber) + +gen int decade = 1980 if v2<=102 +replace decade=1990 if v2>=103 & v2<=107 +replace decade=2000 if v2>=108 + +egen district_id = group(decade sponsor_state_abbrev sponsor_district) + +local controls1 = "i.v2 " +local controls2 = "i.v2 MV1_female femaleXMV1_female " +local controls3 = "i.v2 MV1_female femaleXMV1_female " +local controls4 = "i.v2 " +local controls5 = "i.v2 " + +local other_controls = "i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden" +local billchars = "i.minor house_*" +local indivchars = "sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate tot_bills" +local districtchars = "NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden" + +local if1 = "if tag_bill==1" +local if2 = "if sponsor_party==100 & tag_bill==1" +local if3 = "if sponsor_party==200 & tag_bill==1" + +foreach depvar of varlist numb_cosponsors { + foreach num of numlist 1 { + forvalues l = 0/1 { + forvalues j = 1/5 { + forvalues k = 1/3 { + qui reg `depvar' sponsor_female `controls3' `other_controls' `if`k'' & mixed_gender_election==1 & women_friend`num'==`l', robust cluster(group_sponsor) + qui gen sample=e(sample) + + di "" + di "" + di "j = ", `j', "k = ", `k' + di "" + di "" + + di "rdbwselect_2014 `depvar' MV1_female `if`k'', c(0) kernel(uniform)" + rdbwselect_2014 `depvar' MV1_female `if`k'', c(0) kernel(uniform) + local band = e(h_CCT) + + if `j'==1 { + di "reg `depvar' sponsor_female `controls`j'' `other_controls' `if`k'' & women_friend`num'==`l', robust cluster(group_sponsor)" + reg `depvar' sponsor_female `controls`j'' `other_controls' `if`k'' & women_friend`num'==`l', robust cluster(group_sponsor) + } + else if `j'==2 { + di "reg `depvar' sponsor_female `controls`j'' `if`k'' & sample==1 & abs(MV1_female)<=`band' & women_friend`num'==`l', robust cluster(group_sponsor)" + reg `depvar' sponsor_female `controls`j'' `if`k'' & sample==1 & abs(MV1_female)<=`band' & women_friend`num'==`l', robust cluster(group_sponsor) + } + else if `j'==3 { + qui probit sponsor_female i.v2 `districtchars' `if`k'' & tag_sponsor==1 & abs(MV1_female)<=`band' + predict pscore if sample==1 + gen wt = 1/pscore if sponsor_female==1 + replace wt =1/(1-pscore) if sponsor_female==0 + di "reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & sample==1 & women_friend`num'==`l' & abs(MV1_female)<=`band', robust cluster(group_sponsor)" + reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & sample==1 & women_friend`num'==`l' & abs(MV1_female)<=`band', robust cluster(group_sponsor) + drop pscore wt + } + else if `j'==4 { + qui probit sponsor_female i.v2 `districtchars' absMV `if`k'' & tag_sponsor==1 + predict pscore + gen wt = 1/pscore if sponsor_female==1 + replace wt =1/(1-pscore) if sponsor_female==0 + di "reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & women_friend`num'==`l', robust cluster(group_sponsor)" + reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & women_friend`num'==`l', robust cluster(group_sponsor) + drop pscore wt + } + else if `j'==5 { + qui probit sponsor_female i.v2 `districtchars' `indivchars' absMV `if`k'' & tag_sponsor==1 + predict pscore + gen wt = 1/pscore if sponsor_female==1 + replace wt =1/(1-pscore) if sponsor_female==0 + di "reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & women_friend`num'==`l', robust cluster(group_sponsor)" + reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & women_friend`num'==`l', robust cluster(group_sponsor) + drop pscore wt + } + + if `j'~=2 & `j'~=3 { + scalar b_col`j'_row`k' = _b[sponsor_female] + scalar se_col`j'_row`k' = _se[sponsor_female] + scalar n_col`j'_row`k' = e(N) + sum tag_congressmen if tag_congressmen==1 & e(sample) + scalar ni_col`j'_row`k' = e(N_clust) + scalar ob_col`j'_row`k' = . + } + else if `j'==2 | `j'==3 { + scalar b_col`j'_row`k' = _b[sponsor_female] + scalar se_col`j'_row`k' = _se[sponsor_female] + scalar n_col`j'_row`k' = e(N) + sum tag_congressmen if tag_congressmen==1 & e(sample) + scalar ni_col`j'_row`k' = e(N_clust) + scalar ob_col`j'_row`k' = round(`band') + } + + drop sample + } // closes j loop + } // closes k loop + + preserve + +* Display results + +forvalues i = 1/5 { + gen var`i' =. +} +gen str20 var6 = "" + +forvalues j=1/5 { + forvalues k = 1/3 { + replace var`j' = b_col`j'_row`k' if _n==6*(`k'-1)+1 + replace var`j' = se_col`j'_row`k' if _n==6*(`k'-1)+2 + replace var`j' = n_col`j'_row`k' if _n==6*(`k'-1)+3 + replace var`j' = ni_col`j'_row`k' if _n==6*(`k'-1)+4 + replace var`j' = ob_col`j'_row`k' if _n==6*(`k'-1)+5 + } +} + +keep var1-var6 +keep if _n<=18 + +order var6 var1-var5 + +ren var6 sampletype +ren var1 OLS_all +ren var2 RD_bwidth +ren var3 RD_match_bw +ren var4 PS_match +ren var5 PS_match_indiv + +foreach var of varlist OLS_all RD_bwidth RD_match_bw PS_match PS_match_indiv { + gen str3 `var'_stars ="*" if abs(`var'/`var'[_n+1])>=1.645 & mod(_n,6)==1 + replace `var'_stars ="**" if abs(`var'/`var'[_n+1])>=1.96 & mod(_n,6)==1 + replace `var'_stars="***" if abs(`var'/`var'[_n+1])>=2.58 & mod(_n,6)==1 +} + +replace sampletype = "All" if _n>=1 & _n<=5 +replace sampletype = "Democrats" if _n>=7 & _n<=11 +replace sampletype = "Republicans" if _n>=13 & _n<=17 + +order sampletype OLS_all OLS_all_stars RD_bwidth RD_bwidth_stars RD_match_bw RD_match_bw_stars PS_match PS_match_stars PS_match_indiv PS_match_indiv_stars + export excel using "$Output/Table8_`depvar'_WF`num'`l'", firstrow(var) replace + restore + } // closes l loop + } // closes num loop +} + +log close diff --git a/30/replication_package/Dofiles/Table9.do b/30/replication_package/Dofiles/Table9.do new file mode 100644 index 0000000000000000000000000000000000000000..f6f2e974c848c9e65be7e6be3d99bdb21849458d --- /dev/null +++ b/30/replication_package/Dofiles/Table9.do @@ -0,0 +1,188 @@ +clear +set mem 500m +set more off +set logtype text +set matsize 3000 + +cap log close +log using "$Log/Table9.log", replace + + +use "$AnalysisData/bills_analysis_101-111_replication.dta" + +keep if private==0 + +bysort v2 sponsor_state_abbrev sponsor_district sponsor_term_served: egen tot_bills=count(v2) + +gen byte sponsor_democrat = sponsor_party==100 if sponsor_party~=. + +gen byte NE = sponsor_state_icpsr>=1 & sponsor_state_icpsr<=14 if sponsor_state_icpsr~=. +gen byte MW = sponsor_state_icpsr>=21 & sponsor_state_icpsr<=37 if sponsor_state_icpsr~=. +gen byte SO = sponsor_state_icpsr>=40 & sponsor_state_icpsr<=56 if sponsor_state_icpsr~=. +gen byte WE = sponsor_state_icpsr>=61 & sponsor_state_icpsr<=82 if sponsor_state_icpsr~=. + +replace sponsor_age=. if sponsor_age>100 +gen sponsor_rookie=(sponsor_tenure_run==1) if sponsor_tenure_run!=. +gen byte leader = (comc==1) | (comr==1) if comc~=. & comr~=. + +gen lnpden=lnpop-lnarea +gen absMV=abs(MV1_democrat) + +egen tag_congressmen=tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +egen group_congressmen = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +egen tag_sponsor = tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +egen group_sponsor = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) + +cap drop pct_cosponsors_opposite +gen pct_cosponsors_opposite=100*numb_cosponsors_opposite/(numb_cosponsors+1) +replace pct_cosponsors_opposite=. if pct_cosponsors_opposite>100 + +compress + +egen tag_bill = tag(v2 HRnumber) + +gen int decade = 1980 if v2<=102 +replace decade=1990 if v2>=103 & v2<=107 +replace decade=2000 if v2>=108 + +egen district_id = group(decade sponsor_state_abbrev sponsor_district) + +local controls1 = "i.v2 " +local controls2 = "i.v2 MV1_female femaleXMV1_female " +local controls3 = "i.v2 MV1_female femaleXMV1_female " +local controls4 = "i.v2 " +local controls5 = "i.v2 " + +local other_controls = "i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden" +local billchars = "i.minor house_*" +local indivchars = "sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate tot_bills" +local districtchars = "NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden" + +local if1 = "if tag_bill==1" +local if2 = "if sponsor_party==100 & tag_bill==1" +local if3 = "if sponsor_party==200 & tag_bill==1" + +gen tenured=sponsor_tenure>=5 if sponsor_tenure!=. + +foreach depvar of varlist pct_cosponsors_opposite { + forvalues l = 0/1 { + forvalues j = 1/5 { + forvalues k = 1/3 { + qui reg `depvar' sponsor_female `controls3' `other_controls' `if`k'' & mixed_gender_election==1 & tenured==`l', robust cluster(group_sponsor) + qui gen sample=e(sample) + + di "" + di "" + di "j = ", `j', "k = ", `k' + di "" + di "" + + di "rdbwselect_2014 `depvar' MV1_female `if`k'', c(0) kernel(uniform)" + rdbwselect_2014 `depvar' MV1_female `if`k'', c(0) kernel(uniform) + local band = e(h_CCT) + + if `j'==1 { + di "reg `depvar' sponsor_female `controls`j'' `other_controls' `if`k'' & tenured==`l', robust cluster(group_sponsor)" + reg `depvar' sponsor_female `controls`j'' `other_controls' `if`k'' & tenured==`l', robust cluster(group_sponsor) + } + else if `j'==2 { + di "reg `depvar' sponsor_female `controls`j'' `if`k'' & sample==1 & abs(MV1_female)<=`band' & tenured==`l', robust cluster(group_sponsor)" + reg `depvar' sponsor_female `controls`j'' `if`k'' & sample==1 & abs(MV1_female)<=`band' & tenured==`l', robust cluster(group_sponsor) + } + else if `j'==3 { + qui probit sponsor_female i.v2 `districtchars' `if`k'' & tag_sponsor==1 & abs(MV1_female)<=`band' + predict pscore if sample==1 + gen wt = 1/pscore if sponsor_female==1 + replace wt =1/(1-pscore) if sponsor_female==0 + di "reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & sample==1 & tenured==`l' & abs(MV1_female)<=`band', robust cluster(group_sponsor)" + reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & sample==1 & tenured==`l' & abs(MV1_female)<=`band', robust cluster(group_sponsor) + drop pscore wt + } + else if `j'==4 { + qui probit sponsor_female i.v2 `districtchars' absMV `if`k'' & tag_sponsor==1 + predict pscore + gen wt = 1/pscore if sponsor_female==1 + replace wt =1/(1-pscore) if sponsor_female==0 + di "reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & tenured==`l', robust cluster(group_sponsor)" + reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & tenured==`l', robust cluster(group_sponsor) + drop pscore wt + } + else if `j'==5 { + qui probit sponsor_female i.v2 `districtchars' `indivchars' absMV `if`k'' & tag_sponsor==1 + predict pscore + gen wt = 1/pscore if sponsor_female==1 + replace wt =1/(1-pscore) if sponsor_female==0 + di "reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & tenured==`l', robust cluster(group_sponsor)" + reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & tenured==`l', robust cluster(group_sponsor) + drop pscore wt + } + + if `j'~=2 & `j'~=3 { + scalar b_col`j'_row`k' = _b[sponsor_female] + scalar se_col`j'_row`k' = _se[sponsor_female] + scalar n_col`j'_row`k' = e(N) + sum tag_congressmen if tag_congressmen==1 & e(sample) + scalar ni_col`j'_row`k' = e(N_clust) + scalar ob_col`j'_row`k' = . + } + else if `j'==2 | `j'==3 { + scalar b_col`j'_row`k' = _b[sponsor_female] + scalar se_col`j'_row`k' = _se[sponsor_female] + scalar n_col`j'_row`k' = e(N) + sum tag_congressmen if tag_congressmen==1 & e(sample) + scalar ni_col`j'_row`k' = e(N_clust) + scalar ob_col`j'_row`k' = round(`band') + } + + drop sample + } // closes j loop + } // closes k loop + + preserve + +* Display results + +forvalues i = 1/5 { + gen var`i' =. +} +gen str20 var6 = "" + +forvalues j=1/5 { + forvalues k = 1/3 { + replace var`j' = b_col`j'_row`k' if _n==6*(`k'-1)+1 + replace var`j' = se_col`j'_row`k' if _n==6*(`k'-1)+2 + replace var`j' = n_col`j'_row`k' if _n==6*(`k'-1)+3 + replace var`j' = ni_col`j'_row`k' if _n==6*(`k'-1)+4 + replace var`j' = ob_col`j'_row`k' if _n==6*(`k'-1)+5 + } +} + +keep var1-var6 +keep if _n<=18 + +order var6 var1-var5 + +ren var6 sampletype +ren var1 OLS_all +ren var2 RD_bwidth +ren var3 RD_match_bw +ren var4 PS_match +ren var5 PS_match_indiv + +foreach var of varlist OLS_all RD_bwidth RD_match_bw PS_match PS_match_indiv { + gen str3 `var'_stars ="*" if abs(`var'/`var'[_n+1])>=1.645 & mod(_n,6)==1 + replace `var'_stars ="**" if abs(`var'/`var'[_n+1])>=1.96 & mod(_n,6)==1 + replace `var'_stars="***" if abs(`var'/`var'[_n+1])>=2.58 & mod(_n,6)==1 +} + +replace sampletype = "All" if _n>=1 & _n<=5 +replace sampletype = "Democrats" if _n>=7 & _n<=11 +replace sampletype = "Republicans" if _n>=13 & _n<=17 + +order sampletype OLS_all OLS_all_stars RD_bwidth RD_bwidth_stars RD_match_bw RD_match_bw_stars PS_match PS_match_stars PS_match_indiv PS_match_indiv_stars + export excel using "$Output/Table9_`depvar'_T`l'", firstrow(var) replace + restore + } // closes l loop +} + +log close diff --git a/30/replication_package/Dofiles/TableD1.do b/30/replication_package/Dofiles/TableD1.do new file mode 100644 index 0000000000000000000000000000000000000000..0db68b5bbbe831ed0b2e8d22c3e0193bea2961aa --- /dev/null +++ b/30/replication_package/Dofiles/TableD1.do @@ -0,0 +1,184 @@ +clear +set mem 500m +set more off +set logtype text +set matsize 300 + +cap log close +log using "$Log/TableD1.log", replace + +use "$AnalysisData/cosponsors_analysis_101-111_replication.dta", clear +gen byte tag_cosponsor=1 + +gen byte cosponsor_democrat = cosponsor_party==100 if cosponsor_party~=. + +gen byte cosponsor_region_NE = cosponsor_state_icpsr>=1 & cosponsor_state_icpsr<=14 if cosponsor_state_icpsr~=. +gen byte cosponsor_region_MW = cosponsor_state_icpsr>=21 & cosponsor_state_icpsr<=37 if cosponsor_state_icpsr~=. +gen byte cosponsor_region_SO = cosponsor_state_icpsr>=40 & cosponsor_state_icpsr<=56 if cosponsor_state_icpsr~=. +gen byte cosponsor_region_WE = cosponsor_state_icpsr>=61 & cosponsor_state_icpsr<=82 if cosponsor_state_icpsr~=. + +replace cosponsor_age=. if cosponsor_age>100 +gen cosponsor_rookie=(cosponsor_tenure_run==1) if cosponsor_tenure_run!=. +gen byte leader = (cosp_comc==1) | (cosp_comr==1) if cosp_comc~=. & cosp_comr~=. + +egen tag_congressmen=tag(v2 cosponsor_state_abbrev cosponsor_district cosponsor_term_served) + +gen lnpden=cosp_lnpop-cosp_lnarea +gen absMV=abs(cosp_MV1_democrat) + +cap drop pctbills_cosponsored_opp +gen pctbills_cosponsored_opp=100*nbills_cosponsored_opp/(nbills_cosponsored+1) +replace pctbills_cosponsored_opp=. if pctbills_cosponsored_opp>100 + +gen int decade = 1980 if v2<=102 +replace decade=1990 if v2>=103 & v2<=107 +replace decade=2000 if v2>=108 + +egen district_id = group(decade cosponsor_state_abbrev cosponsor_district) + +foreach name in "democrat" "tenure_run" "age" "rookie" "region_NE" "region_MW" "region_WE" { + ren cosponsor_`name' cosp_`name' +} +foreach name in "democrat" "tenure_run" "age" "rookie" "comc" "comr" "borninstate" /* +*/ "ivycoll" "black" "occ0" "occ1" "occ2" "occ3" "occ4" "region_NE" "region_MW" "region_WE" /* +*/ "pct_b" "pct_u" "pct_f" "pct_a" "lnpop" "lninc" "lnarea" { + ren cosp_`name' `name' +} + +local cosp_controls1 = "i.v2 " +local cosp_controls2 = "i.v2 cosp_MV1_female femaleXcosp_MV1_female " +local cosp_controls3 = "i.v2 cosp_MV1_female femaleXcosp_MV1_female " +local cosp_controls4 = "i.v2 " +local cosp_controls5 = "i.v2 " + +local cosp_other_controls = "house_* democrat rookie tenure_run age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate region_NE region_MW region_WE pct_b pct_u pct_f pct_a lninc lnpden" +local cosp_billchars = "house_*" +local cosp_indivchars = "democrat rookie tenure_run age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate" +local cosp_districtchars = "region_NE region_MW region_WE pct_b pct_u pct_f pct_a lninc lnpden" + +local cosp_if1 = "if tag_cosponsor==1" +local cosp_if2 = "if cosponsor_party==100 & tag_cosponsor==1" +local cosp_if3 = "if cosponsor_party==200 & tag_cosponsor==1" + +foreach depvar of varlist nbills_cosponsored pctbills_cosponsored_opp { + forvalues j=1/5 { + forvalues k = 1/3 { + qui reg `depvar' cosponsor_female `cosp_controls2' `cosp_other_controls' `cosp_if`k'' & cosp_mixed_gender_election==1, robust cluster(cosponsor_v1_fix) + qui gen sample=e(sample) + + di "" + di "" + di "j = ", `j', "k = ", `k' + di "" + di "" + + di "rdbwselect_2014 `depvar' cosp_MV1_female `cosp_if`k'', c(0) kernel(uniform)" + rdbwselect_2014 `depvar' cosp_MV1_female `cosp_if`k'', c(0) kernel(uniform) + local band = e(h_CCT) + + if `j'==1 { + di "reg `depvar' cosponsor_female `cosp_controls`j'' `cosp_other_controls' `cosp_if`k'', robust cluster(cosponsor_v1_fix)" + reg `depvar' cosponsor_female `cosp_controls`j'' `cosp_other_controls' `cosp_if`k'', robust cluster(cosponsor_v1_fix) + } + else if `j'==2 { + di "reg `depvar' cosponsor_female `controls`j'' `cosp_if`k'' & sample==1 & abs(cosp_MV1_female)<=`band', robust cluster(cosponsor_v1_fix)" + reg `depvar' cosponsor_female `cosp_controls`j'' `cosp_if`k'' & sample==1 & abs(cosp_MV1_female)<=`band', robust cluster(cosponsor_v1_fix) + } + else if `j'==3 { + qui probit cosponsor_female i.v2 `cosp_districtchars' `cosp_if`k'' & tag_cosponsor==1 & abs(cosp_MV1_female)<=`band' + predict pscore if sample==1 + gen wt = 1/pscore if cosponsor_female==1 + replace wt =1/(1-pscore) if cosponsor_female==0 + di "reg `depvar' cosponsor_female `cosp_controls`j'' [aw=wt] `cosp_if`k'' & sample==1 & abs(cosp_MV1_female)<=`band', robust cluster(cosponsor_v1_fix)" + reg `depvar' cosponsor_female `cosp_controls`j'' `cosp_billchars' [aw=wt] `cosp_if`k'' & sample==1 & abs(cosp_MV1_female)<=`band', robust cluster(cosponsor_v1_fix) + drop pscore wt + } + else if `j'==4 { + qui probit cosponsor_female i.v2 `cosp_districtchars' absMV `cosp_if`k'' & tag_cosponsor==1 + predict pscore + gen wt = 1/pscore if cosponsor_female==1 + replace wt =1/(1-pscore) if cosponsor_female==0 + di "reg `depvar' cosponsor_female `cosp_controls`j'' [aw=wt] `cosp_if`k'', robust cluster(cosponsor_v1_fix)" + reg `depvar' cosponsor_female `cosp_controls`j'' `cosp_billchars' [aw=wt] `cosp_if`k'', robust cluster(cosponsor_v1_fix) + drop pscore wt + } + else if `j'==5 { + qui probit cosponsor_female i.v2 `cosp_districtchars' `cosp_indivchars' absMV `cosp_if`k'' & tag_cosponsor==1 + predict pscore + gen wt = 1/pscore if cosponsor_female==1 + replace wt =1/(1-pscore) if cosponsor_female==0 + di "reg `depvar' cosponsor_female `cosp_controls`j'' [aw=wt] `cosp_if`k'', robust cluster(cosponsor_v1_fix)" + reg `depvar' cosponsor_female `cosp_controls`j'' `cosp_billchars' [aw=wt] `cosp_if`k'', robust cluster(cosponsor_v1_fix) + drop pscore wt + } + + if `j'~=2 & `j'~=3{ + scalar b_col`j'_row`k' = _b[cosponsor_female] + scalar se_col`j'_row`k' = _se[cosponsor_female] + scalar n_col`j'_row`k' = e(N) + sum tag_congressmen if tag_congressmen==1 & e(sample) + scalar ni_col`j'_row`k' = e(N_clust) + scalar ob_col`j'_row`k' = . + } + if `j'==2 | `j'==3 { + scalar b_col`j'_row`k' = _b[cosponsor_female] + scalar se_col`j'_row`k' = _se[cosponsor_female] + scalar n_col`j'_row`k' = e(N) + sum tag_congressmen if tag_congressmen==1 & e(sample) + scalar ni_col`j'_row`k' = e(N_clust) + scalar ob_col`j'_row`k' = round(`band') + } + + drop sample + + } + } + + preserve + +* Display results + +forvalues i = 1/5 { + gen var`i' =. +} +gen str20 var6 = "" + +forvalues j=1/5 { + forvalues k = 1/3 { + replace var`j' = b_col`j'_row`k' if _n==6*(`k'-1)+1 + replace var`j' = se_col`j'_row`k' if _n==6*(`k'-1)+2 + replace var`j' = n_col`j'_row`k' if _n==6*(`k'-1)+3 + replace var`j' = ni_col`j'_row`k' if _n==6*(`k'-1)+4 + replace var`j' = ob_col`j'_row`k' if _n==6*(`k'-1)+5 + } +} + +keep var1-var6 +keep if _n<=18 + +order var6 var1-var5 + +ren var6 sampletype +ren var1 OLS_all +ren var2 RD_bwidth +ren var3 RD_match_bw +ren var4 PS_match +ren var5 PS_match_indiv + +foreach var of varlist OLS_all RD_bwidth RD_match_bw PS_match PS_match_indiv { + gen str3 `var'_stars ="*" if abs(`var'/`var'[_n+1])>=1.645 & mod(_n,6)==1 + replace `var'_stars ="**" if abs(`var'/`var'[_n+1])>=1.96 & mod(_n,6)==1 + replace `var'_stars="***" if abs(`var'/`var'[_n+1])>=2.58 & mod(_n,6)==1 +} + +replace sampletype = "All" if _n>=1 & _n<=5 +replace sampletype = "Democrats" if _n>=7 & _n<=11 +replace sampletype = "Republicans" if _n>=13 & _n<=17 + +order sampletype OLS_all OLS_all_stars RD_bwidth RD_bwidth_stars RD_match_bw RD_match_bw_stars PS_match PS_match_stars PS_match_indiv PS_match_indiv_stars + export excel using "$Output/TableD1_ReactiveCooperativeness_RDIPW_`depvar'.xlsx", firstrow(var) replace + restore + +} + +log close diff --git a/30/replication_package/Dofiles/TableD2.do b/30/replication_package/Dofiles/TableD2.do new file mode 100644 index 0000000000000000000000000000000000000000..34c5fff1475f1986c770731092a437ee7250398f --- /dev/null +++ b/30/replication_package/Dofiles/TableD2.do @@ -0,0 +1,401 @@ +clear +set mem 500m +set more off +set logtype text +set matsize 3000 + +cap log close +log using "$Log/TableD2.log", replace + +use "$AnalysisData/bills_analysis_101-111_replication.dta" +keep if private==0 + +bysort v2 sponsor_state_abbrev sponsor_district sponsor_term_served: egen tot_bills=count(v2) + +gen byte sponsor_democrat = sponsor_party==100 if sponsor_party~=. + +gen byte NE = sponsor_state_icpsr>=1 & sponsor_state_icpsr<=14 if sponsor_state_icpsr~=. +gen byte MW = sponsor_state_icpsr>=21 & sponsor_state_icpsr<=37 if sponsor_state_icpsr~=. +gen byte SO = sponsor_state_icpsr>=40 & sponsor_state_icpsr<=56 if sponsor_state_icpsr~=. +gen byte WE = sponsor_state_icpsr>=61 & sponsor_state_icpsr<=82 if sponsor_state_icpsr~=. + +replace sponsor_age=. if sponsor_age>100 +gen sponsor_rookie=(sponsor_tenure_run==1) if sponsor_tenure_run!=. +gen byte leader = (comc==1) | (comr==1) if comc~=. & comr~=. + +gen lnpden=lnpop-lnarea +gen absMV=abs(MV1_democrat) + +egen tag_congressmen=tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +egen group_congressmen = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +*egen tag_sponsor = tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +sort v2 sponsor_state_abbrev sponsor_district sponsor_term_served HRnumber +bysort v2 sponsor_state_abbrev sponsor_district sponsor_term_served: gen tag_sponsor=_n +egen group_sponsor = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) + +bysort v2 sponsor_state_abbrev sponsor_district sponsor_term_served: egen numb_cosponsors_m=mean(numb_cosponsors) + +compress + +*egen tag_bill = tag(v2 HRnumber) +sort v2 HRnumber +bysort v2 HRnumber: gen tag_bill=_n + +gen int decade = 1980 if v2<=102 +replace decade=1990 if v2>=103 & v2<=107 +replace decade=2000 if v2>=108 + +egen district_id = group(decade sponsor_state_abbrev sponsor_district) + +sort district_id v2 HRnumber +bysort district_id v2: gen counter=_n +foreach var of varlist tot_bills sponsor_female MV1_female MV1_democrat mixed_gender_ele /* +*/ sponsor_party sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age /* +*/ leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate { + sort counter district_id v2 + bysort counter district_id: gen X=`var'[_n+1] if counter==1 & `var'[_n+1]!=. + bysort district_id v2: egen `var'_l1=max(X) + drop X +} +gen female_l1XMV1_female_l1=MV1_female_l1*sponsor_female_l1 +gen absMV_l1=abs(MV1_democrat_l1) + +local controls1 = "i.v2 " +local controls2 = "i.v2 MV1_female_l1 female_l1XMV1_female_l1 " +local controls3 = "i.v2 MV1_female_l1 female_l1XMV1_female_l1 " +local controls4 = "i.v2 " +local controls5 = "i.v2 " + +local other_controls = "i.minor house_* sponsor_democrat_l1 sponsor_rookie_l1 sponsor_tenure_run_l1 sponsor_age_l1 leader_l1 ivycoll_l1 black_l1 occ0_l1 occ1_l1 occ2_l1 occ3_l1 occ4_l1 borninstate_l1 tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden" +local billchars = "i.minor house_*" +local indivchars = "sponsor_democrat_l1 sponsor_rookie_l1 sponsor_tenure_run_l1 sponsor_age_l1 leader_l1 ivycoll_l1 black_l1 occ0_l1 occ1_l1 occ2_l1 occ3_l1 occ4_l1 borninstate_l1 tot_bills" +local districtchars = "NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden" + +local if1 = "if tag_bill==1 & sponsor_female==0" +local if2 = "if sponsor_party_l1==100 & tag_bill==1 & sponsor_female==0" +local if3 = "if sponsor_party_l1==200 & tag_bill==1 & sponsor_female==0" + +forvalues j=1/5 { + forvalues k = 1/3 { + qui reg numb_cosponsors sponsor_female_l1 `controls2' `other_controls' `if`k'' & mixed_gender_election_l1==1, robust cluster(group_sponsor) + qui gen sample=e(sample) + + di "" + di "" + di "j = ", `j', "k = ", `k' + di "" + di "" + + di "rdbwselect_2014 numb_cosponsors MV1_female_l1 `if`k'', c(0) kernel(uniform)" + rdbwselect_2014 numb_cosponsors MV1_female_l1 `if`k'', c(0) kernel(uniform) + local band = e(h_CCT) + + if `j'==1 { + di "reg numb_cosponsors sponsor_female_l1 `controls`j'' `other_controls' `if`k'', robust cluster(group_sponsor)" + reg numb_cosponsors sponsor_female_l1 `controls`j'' `other_controls' `if`k'', robust cluster(group_sponsor) + } + else if `j'==2 { + di "reg numb_cosponsors sponsor_female_l1 `controls`j'' `if`k'' & sample==1 & abs(MV1_female_l1)<=`band', robust cluster(group_sponsor)" + reg numb_cosponsors sponsor_female_l1 `controls`j'' `if`k'' & sample==1 & abs(MV1_female_l1)<=`band', robust cluster(group_sponsor) + } + else if `j'==3 { + qui probit sponsor_female_l1 i.v2 `districtchars' `if`k'' & tag_sponsor==1 & abs(MV1_female_l1)<=`band' + predict pscore if sample==1 + gen wt = 1/pscore if sponsor_female_l1==1 + replace wt =1/(1-pscore) if sponsor_female_l1==0 + di "reg numb_cosponsors sponsor_female_l1 `controls`j'' `billchars' [aw=wt] `if`k'' & sample==1 & abs(MV1_female_l1)<=`band', robust cluster(group_sponsor)" + reg numb_cosponsors sponsor_female_l1 `controls`j'' `billchars' [aw=wt] `if`k'' & sample==1 & abs(MV1_female_l1 )<=`band', robust cluster(group_sponsor) + drop pscore wt + } + else if `j'==4 { + qui probit sponsor_female_l1 i.v2 `districtchars' absMV_l1 `if`k'' & tag_sponsor==1 + predict pscore + gen wt = 1/pscore if sponsor_female_l1==1 + replace wt =1/(1-pscore) if sponsor_female_l1==0 + di "reg numb_cosponsors sponsor_female_l1 `controls`j'' `billchars' [aw=wt] `if`k'', robust cluster(group_sponsor)" + reg numb_cosponsors sponsor_female_l1 `controls`j'' `billchars' [aw=wt] `if`k'', robust cluster(group_sponsor) + drop pscore wt + } + else if `j'==5 { + qui probit sponsor_female_l1 i.v2 `districtchars' `indivchars' absMV_l1 `if`k'' & tag_sponsor==1 + predict pscore + gen wt = 1/pscore if sponsor_female_l1==1 + replace wt =1/(1-pscore) if sponsor_female_l1==0 + di "reg numb_cosponsors sponsor_female_l1 `controls`j'' `billchars' [aw=wt] `if`k'', robust cluster(group_sponsor)" + reg numb_cosponsors sponsor_female_l1 `controls`j'' `billchars' [aw=wt] `if`k'', robust cluster(group_sponsor) + drop pscore wt + } + + if `j'~=2 & `j'~=3 { + scalar b_col`j'_row`k' = _b[sponsor_female_l1] + scalar se_col`j'_row`k' = _se[sponsor_female_l1] + scalar n_col`j'_row`k' = e(N) + sum tag_congressmen if tag_congressmen==1 & e(sample) + scalar ni_col`j'_row`k' = e(N_clust) + scalar ob_col`j'_row`k' = . + } + else if `j'==2 | `j'==3 { + scalar b_col`j'_row`k' = _b[sponsor_female_l1] + scalar se_col`j'_row`k' = _se[sponsor_female_l1] + scalar n_col`j'_row`k' = e(N) + sum tag_congressmen if tag_congressmen==1 & e(sample) + scalar ni_col`j'_row`k' = e(N_clust) + scalar ob_col`j'_row`k' = round(`band') + } + + drop sample + + } +} + +preserve + +* Display results + +forvalues i = 1/5 { + gen var`i' =. +} +gen str20 var6 = "" + +forvalues j=1/5 { + forvalues k = 1/3 { + replace var`j' = b_col`j'_row`k' if _n==6*(`k'-1)+1 + replace var`j' = se_col`j'_row`k' if _n==6*(`k'-1)+2 + replace var`j' = n_col`j'_row`k' if _n==6*(`k'-1)+3 + replace var`j' = ni_col`j'_row`k' if _n==6*(`k'-1)+4 + replace var`j' = ob_col`j'_row`k' if _n==6*(`k'-1)+5 + } +} + +keep var1-var6 +keep if _n<=18 + +order var6 var1-var5 + +ren var6 sampletype +ren var1 OLS_all +ren var2 RD_bwidth +ren var3 RD_match_bw +ren var4 PS_match +ren var5 PS_match_indiv + +foreach var of varlist OLS_all RD_bwidth RD_match_bw PS_match PS_match_indiv { + gen str3 `var'_stars ="*" if abs(`var'/`var'[_n+1])>=1.645 & mod(_n,6)==1 + replace `var'_stars ="**" if abs(`var'/`var'[_n+1])>=1.96 & mod(_n,6)==1 + replace `var'_stars="***" if abs(`var'/`var'[_n+1])>=2.58 & mod(_n,6)==1 +} + +replace sampletype = "All" if _n>=1 & _n<=5 +replace sampletype = "Democrats" if _n>=7 & _n<=11 +replace sampletype = "Republicans" if _n>=13 & _n<=17 + +order sampletype OLS_all OLS_all_stars RD_bwidth RD_bwidth_stars RD_match_bw RD_match_bw_stars PS_match PS_match_stars PS_match_indiv PS_match_indiv_stars + export excel using "$Output/TableD2_Placebo_Cosponsors", firstrow(var) replace + +restore + + +********************************************************************************************************************************************* + + +* use "$Data/bills_analysis_101-111_clean.dta", clear +use "$AnalysisData/bills_analysis_101-111_replication.dta", clear +keep if private==0 + +bysort v2 sponsor_state_abbrev sponsor_district sponsor_term_served: egen tot_bills=count(v2) + +gen byte sponsor_democrat = sponsor_party==100 if sponsor_party~=. + +gen byte NE = sponsor_state_icpsr>=1 & sponsor_state_icpsr<=14 if sponsor_state_icpsr~=. +gen byte MW = sponsor_state_icpsr>=21 & sponsor_state_icpsr<=37 if sponsor_state_icpsr~=. +gen byte SO = sponsor_state_icpsr>=40 & sponsor_state_icpsr<=56 if sponsor_state_icpsr~=. +gen byte WE = sponsor_state_icpsr>=61 & sponsor_state_icpsr<=82 if sponsor_state_icpsr~=. + +replace sponsor_age=. if sponsor_age>100 +gen sponsor_rookie=(sponsor_tenure_run==1) if sponsor_tenure_run!=. +gen byte leader = (comc==1) | (comr==1) if comc~=. & comr~=. + +gen lnpden=lnpop-lnarea +gen absMV=abs(MV1_democrat) + +egen tag_congressmen=tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +egen group_congressmen = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +*egen tag_sponsor = tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +sort v2 sponsor_state_abbrev sponsor_district sponsor_term_served HRnumber +bysort v2 sponsor_state_abbrev sponsor_district sponsor_term_served: gen tag_sponsor=_n +egen group_sponsor = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) + +cap drop pct_cosponsors_opposite +gen pct_cosponsors_opposite=100*numb_cosponsors_opposite/(numb_cosponsors+1) +replace pct_cosponsors_opposite=. if pct_cosponsors_opposite>100 + +compress + +*egen tag_bill = tag(v2 HRnumber) +sort v2 HRnumber +bysort v2 HRnumber: gen tag_bill=_n + +gen int decade = 1980 if v2<=102 +replace decade=1990 if v2>=103 & v2<=107 +replace decade=2000 if v2>=108 + +egen district_id = group(decade sponsor_state_abbrev sponsor_district) + +/* Deletion, Daniele 2021-03-12 +gen MVprim_female2=MVprim_female^2 +gen MVprim_female3=MVprim_female^3 +gen femaleXMVprim_female=sponsor_female*MVprim_female +gen femaleXMVprim_female2=sponsor_female*MVprim_female2 +gen femaleXMVprim_female3=sponsor_female*MVprim_female3 +gen safe=MV1_democrat>=0.2 & sponsor_party==100 | MV1_democrat<=-0.2 & sponsor_party==200 if MV1_democrat!=. +*/ + +sort district_id v2 HRnumber +bysort district_id v2: gen counter=_n +foreach var of varlist tot_bills sponsor_female MV1_female MV1_democrat mixed_gender_ele /* +*/ sponsor_party sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age /* +*/ leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate { + sort counter district_id v2 + bysort counter district_id: gen X=`var'[_n+1] if counter==1 & `var'[_n+1]!=. + bysort district_id v2: egen `var'_l1=max(X) + drop X +} + +gen female_l1XMV1_female_l1=MV1_female_l1*sponsor_female_l1 +gen absMV_l1=abs(MV1_democrat_l1) + +local controls1 = "i.v2 " +local controls2 = "i.v2 MV1_female_l1 female_l1XMV1_female_l1 " +local controls3 = "i.v2 MV1_female_l1 female_l1XMV1_female_l1 " +local controls4 = "i.v2 " +local controls5 = "i.v2 " + +local other_controls = "i.minor house_* sponsor_democrat_l1 sponsor_rookie_l1 sponsor_tenure_run_l1 sponsor_age_l1 leader_l1 ivycoll_l1 black_l1 occ0_l1 occ1_l1 occ2_l1 occ3_l1 occ4_l1 borninstate_l1 tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden" +local billchars = "i.minor house_*" +local indivchars = "sponsor_democrat_l1 sponsor_rookie_l1 sponsor_tenure_run_l1 sponsor_age_l1 leader_l1 ivycoll_l1 black_l1 occ0_l1 occ1_l1 occ2_l1 occ3_l1 occ4_l1 borninstate_l1 tot_bills" +local districtchars = "NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden" + +local if1 = "if tag_bill==1 & sponsor_female==0" +local if2 = "if sponsor_party_l1==100 & tag_bill==1 & sponsor_female==0" +local if3 = "if sponsor_party_l1==200 & tag_bill==1 & sponsor_female==0" + +forvalues j=1/5 { + forvalues k = 1/3 { + qui reg pct_cosponsors_opposite sponsor_female_l1 `controls2' `other_controls' `if`k'' & mixed_gender_election_l1==1, robust cluster(group_sponsor) + qui gen sample=e(sample) + + di "" + di "" + di "j = ", `j', "k = ", `k' + di "" + di "" + + di "rdbwselect_2014 pct_cosponsors_opposite MV1_female_l1 `if`k'', c(0) kernel(uniform)" + rdbwselect_2014 pct_cosponsors_opposite MV1_female_l1 `if`k'', c(0) kernel(uniform) + local band = e(h_CCT) + + if `j'==1 { + di "reg pct_cosponsors_opposite sponsor_female_l1 `controls`j'' `other_controls' `if`k'', robust cluster(group_sponsor)" + reg pct_cosponsors_opposite sponsor_female_l1 `controls`j'' `other_controls' `if`k'', robust cluster(group_sponsor) + } + else if `j'==2 { + di "reg pct_cosponsors_opposite sponsor_female_l1 `controls`j'' `if`k'' & sample==1 & abs(MV1_female_l1)<=`band', robust cluster(group_sponsor)" + reg pct_cosponsors_opposite sponsor_female_l1 `controls`j'' `if`k'' & sample==1 & abs(MV1_female_l1)<=`band', robust cluster(group_sponsor) + } + else if `j'==3 { + qui probit sponsor_female_l1 i.v2 `districtchars' `if`k'' & tag_sponsor==1 & abs(MV1_female_l1)<=`band' + predict pscore if sample==1 + gen wt = 1/pscore if sponsor_female_l1==1 + replace wt =1/(1-pscore) if sponsor_female_l1==0 + di "reg pct_cosponsors_opposite sponsor_female_l1 `controls`j'' `billchars' [aw=wt] `if`k'' & sample==1 & abs(MV1_female_l1)<=`band', robust cluster(group_sponsor)" + reg pct_cosponsors_opposite sponsor_female_l1 `controls`j'' `billchars' [aw=wt] `if`k'' & sample==1 & abs(MV1_female_l1)<=`band', robust cluster(group_sponsor) + drop pscore wt + } + else if `j'==4 { + qui probit sponsor_female_l1 i.v2 `districtchars' absMV_l1 `if`k'' & tag_sponsor==1 + predict pscore + gen wt = 1/pscore if sponsor_female_l1==1 + replace wt =1/(1-pscore) if sponsor_female_l1==0 + di "reg pct_cosponsors_opposite sponsor_female_l1 `controls`j'' `billchars' [aw=wt] `if`k'', robust cluster(group_sponsor)" + reg pct_cosponsors_opposite sponsor_female_l1 `controls`j'' `billchars' [aw=wt] `if`k'', robust cluster(group_sponsor) + drop pscore wt + } + else if `j'==5 { + qui probit sponsor_female_l1 i.v2 `districtchars' `indivchars' absMV_l1 `if`k'' & tag_sponsor==1 + predict pscore + gen wt = 1/pscore if sponsor_female_l1==1 + replace wt =1/(1-pscore) if sponsor_female_l1==0 + di "reg pct_cosponsors_opposite sponsor_female_l1 `controls`j'' `billchars' [aw=wt] `if`k'', robust cluster(group_sponsor)" + reg pct_cosponsors_opposite sponsor_female_l1 `controls`j'' `billchars' [aw=wt] `if`k'', robust cluster(group_sponsor) + drop pscore wt + } + + if `j'~=2 & `j'~=3 { + scalar b_col`j'_row`k' = _b[sponsor_female_l1] + scalar se_col`j'_row`k' = _se[sponsor_female_l1] + scalar n_col`j'_row`k' = e(N) + sum tag_congressmen if tag_congressmen==1 & e(sample) + scalar ni_col`j'_row`k' = e(N_clust) + scalar ob_col`j'_row`k' = . + } + else if `j'==2 | `j'==3 { + scalar b_col`j'_row`k' = _b[sponsor_female_l1] + scalar se_col`j'_row`k' = _se[sponsor_female_l1] + scalar n_col`j'_row`k' = e(N) + sum tag_congressmen if tag_congressmen==1 & e(sample) + scalar ni_col`j'_row`k' = e(N_clust) + scalar ob_col`j'_row`k' = round(`band') + } + + drop sample + + } +} + +preserve + +* Display results + +forvalues i = 1/5 { + gen var`i' =. +} +gen str20 var6 = "" + +forvalues j=1/5 { + forvalues k = 1/3 { + replace var`j' = b_col`j'_row`k' if _n==6*(`k'-1)+1 + replace var`j' = se_col`j'_row`k' if _n==6*(`k'-1)+2 + replace var`j' = n_col`j'_row`k' if _n==6*(`k'-1)+3 + replace var`j' = ni_col`j'_row`k' if _n==6*(`k'-1)+4 + replace var`j' = ob_col`j'_row`k' if _n==6*(`k'-1)+5 + } +} + +keep var1-var6 +keep if _n<=18 + +order var6 var1-var5 + +ren var6 sampletype +ren var1 OLS_all +ren var2 RD_bwidth +ren var3 RD_match_bw +ren var4 PS_match +ren var5 PS_match_indiv + +foreach var of varlist OLS_all RD_bwidth RD_match_bw PS_match PS_match_indiv { + gen str3 `var'_stars ="*" if abs(`var'/`var'[_n+1])>=1.645 & mod(_n,6)==1 + replace `var'_stars ="**" if abs(`var'/`var'[_n+1])>=1.96 & mod(_n,6)==1 + replace `var'_stars="***" if abs(`var'/`var'[_n+1])>=2.58 & mod(_n,6)==1 +} + +replace sampletype = "All" if _n>=1 & _n<=5 +replace sampletype = "Democrats" if _n>=7 & _n<=11 +replace sampletype = "Republicans" if _n>=13 & _n<=17 + +order sampletype OLS_all OLS_all_stars RD_bwidth RD_bwidth_stars RD_match_bw RD_match_bw_stars PS_match PS_match_stars PS_match_indiv PS_match_indiv_stars + export excel using "$Output/TableD2_Placebo_CosponsorsOpposite", firstrow(var) replace + +restore + +log close diff --git a/30/replication_package/Dofiles/master.do b/30/replication_package/Dofiles/master.do new file mode 100644 index 0000000000000000000000000000000000000000..05b76c4253338a87f79c205f21211b54da43e74e --- /dev/null +++ b/30/replication_package/Dofiles/master.do @@ -0,0 +1,96 @@ + +capture cd "/Users/stefanogagliarducci/Dropbox" +if _rc==0 { + global Dofiles = "/Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Dofiles" + global Log = "/Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Log" + global Output = "/Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output" + global Data = "/Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Data" + global RawData = "/Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Data/RawData" + global IntermediateData = "/Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Data/IntermediateData" + global AnalysisData = "/Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Data/AnalysisData" + global AppendixC_simulations= "/Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/AppendixC_simulations_output" + adopath ++ "/Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Adofiles/rd_2021" + adopath ++ "/Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Adofiles/reghdfe_2019" + adopath ++ "/Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Adofiles/DCdensity_2009" +} +else { + capture cd "D:/Dropbox" + if _rc==0 { + global Dofiles = "D:/Dropbox/Research/GenderCooperativeness/EJ/3 replication package/Dofiles" + global Log = "D:/Dropbox/Research/GenderCooperativeness/EJ/3 replication package/Log" + global Output = "D:/Dropbox/Research/GenderCooperativeness/EJ/3 replication package/Output" + global Data = "D:/Dropbox/Research/GenderCooperativeness/EJ/3 replication package/Data" + global RawData = "D:/Dropbox/Research/GenderCooperativeness/EJ/3 replication package/Data/RawData" + global IntermediateData = "D:/Dropbox/Research/GenderCooperativeness/EJ/3 replication package/Data/IntermediateData" + global AnalysisData = "D:/Dropbox/Research/GenderCooperativeness/EJ/3 replication package/Data/AnalysisData" + global AppendixC_simulations= "D:/Dropbox/Research/GenderCooperativeness/EJ/3 replication package/Output/AppendixC_simulations_output" + adopath ++ "D:/Dropbox/Research/GenderCooperativeness/EJ/3 replication package/Adofiles/rd_2021" + adopath ++ "D:/Dropbox/Research/GenderCooperativeness/EJ/3 replication package/Adofiles/reghdfe_2019" + adopath ++ "D:/Dropbox/Research/GenderCooperativeness/EJ/3 replication package/Adofiles/DCdensity_2009" + } +} +else { + capture cd "C:/Users/paserman/Dropbox" + if _rc==0 { + global Dofiles = "C:/Users/paserman/Dropbox/Research/GenderCooperativeness/EJ/3 replication package/Dofiles" + global Log = "C:/Users/paserman/Dropbox/Research/GenderCooperativeness/EJ/3 replication package/Log" + global Output = "C:/Users/paserman/Dropbox/Research/GenderCooperativeness/EJ/3 replication package/Output" + global Data = "C:/Users/paserman/Dropbox/Research/GenderCooperativeness/EJ/3 replication package/Data" + global RawData = "C:/Users/paserman/Dropbox/Research/GenderCooperativeness/EJ/3 replication package/Data/RawData" + global IntermediateData = "C:/Users/paserman/Dropbox/Research/GenderCooperativeness/EJ/3 replication package/Data/IntermediateData" + global AnalysisData = "C:/Users/paserman/Dropbox/Research/GenderCooperativeness/EJ/3 replication package/Data/AnalysisData" + global AppendixC_simulations = "C:/Users/paserman/Dropbox/Research/GenderCooperativeness/EJ/3 replication package/Output/AppendixC_simulations_output" + adopath ++ "C:/Users/paserman/Dropbox/Research/GenderCooperativeness/EJ/3 replication package/Adofiles/rd_2021" + adopath ++ "C:/Users/paserman/Dropbox/Research/GenderCooperativeness/EJ/3 replication package/Adofiles/reghdfe_2019" + adopath ++ "C:/Users/paserman/Dropbox/Research/GenderCooperativeness/EJ/3 replication package/Adofiles/DCdensity_2009" + } +} + +/* Insert here your home folder +else { + capture cd "[Name of Home Folder]" + if _rc==0 { + global Dofiles = "[Name of Home Folder]/3 replication package/Dofiles" + global Log= "[Name of Home Folder]/3 replication package/Log" + global Output = "[Name of Home Folder]/3 replication package/Output" + global Data = "[Name of Home Folder]/3 replication package/Data" + global RawData = "[Name of Home Folder]/3 replication package/Data/RawData" + global IntermediateData = "[Name of Home Folder]/3 replication package/Data/IntermediateData" + global AnalysisData = "[Name of Home Folder]/3 replication package/Data/AnalysisData" + global AppendixC_simulations= "[Name of Home Folder]/3 replication package/Output/AppendixC_simulations_output" + adopath ++ "[Name of Home Folder]/3 replication package/Adofiles/rd_2021" + adopath ++ "[Name of Home Folder]/3 replication package/Adofiles/reghdfe_2019" + adopath ++ "[Name of Home Folder]/3 replication package/Adofiles/DCdensity_2009" + } +} +*/ + + +* Do all files need to replicate results + +/* +do "$Dofiles/002_prepare_data_full.do" +do "$Dofiles/003_prepare_data_replication.do" +*/ +do "$Dofiles/Figure1_2.do" +do "$Dofiles/Figure3.do" +do "$Dofiles/Figure4a_4b.do" +do "$Dofiles/Figure5.do" +do "$Dofiles/Table1.do" +do "$Dofiles/Table2.do" +do "$Dofiles/Table3a_3b.do" +do "$Dofiles/Table4a_4b.do" +do "$Dofiles/Table5.do" +do "$Dofiles/Table6.do" +do "$Dofiles/Table7.do" +do "$Dofiles/Table8.do" +do "$Dofiles/Table9.do" +do "$Dofiles/Table10.do" +do "$Dofiles/TableD1.do" +do "$Dofiles/TableD2.do" + + +do "$Dofiles/AppendixC_simulations.do" + + + diff --git a/30/replication_package/Log/002_prepare_data_full.log b/30/replication_package/Log/002_prepare_data_full.log new file mode 100644 index 0000000000000000000000000000000000000000..219dc2db5dcdf00dd10fe3d93ff24e5065abe885 --- /dev/null +++ b/30/replication_package/Log/002_prepare_data_full.log @@ -0,0 +1,819 @@ +--------------------------------------------------------------------------------------------------------------------------------------------------------------------- + name: + log: /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Log/002_prepare_data_full.log + log type: text + opened on: 5 May 2021, 22:15:24 + +. +. +. * Outline: +. * (1) Use the clean data, get the data into shape for analysis +. +. * (1a) Use the Clean Cosponsor Data, add to it individual and district characteristics +. use "$RawData/Cosponsors_Clean.dta", clear + +. sort v2 state_abbrev district term_served + +. merge v2 state_abbrev district term_served using "$RawData/IndividualCharacteristics_Clean.dta", /* +> */ keep(v2 state_abbrev state_icpsr district term_served name_clean v1_fix female party age tenure_run pus comc comr dwnom1 dwnom2 /* +> */ borninstate agestart privatesec anycoll namedcoll ivycoll statecoll anygrad jd mba phd military /* +> */ occ0 occ1 occ2 occ3 occ4 occ5 occ6 DSpndPct DDonaPct CQRating3 CQRating3_01 black native asian latino) +(note: you are using old merge syntax; see [D] merge for new syntax) +variables v2 state_abbrev district term_served do not uniquely identify observations in the master data +(note: variable v2 was int, now long to accommodate using data's values) +(note: variable district was byte, now double to accommodate using data's values) +(note: variable term_served was byte, now float to accommodate using data's values) + +. tab _merge + + _merge | Freq. Percent Cum. +------------+----------------------------------- + 1 | 22,493 2.13 2.13 + 2 | 3 0.00 2.13 + 3 | 1,035,492 97.87 100.00 +------------+----------------------------------- + Total | 1,057,988 100.00 + +. drop if _merge==2 +(3 observations deleted) + +. drop _merge + +. +. gen DSpndPct_miss=DSpndPct==. + +. replace DSpndPct=50 if DSpndPct==. +(208,766 real changes made) + +. +. sort v2 state_abbrev district term_served + +. merge v2 state_abbrev district term_served using "$RawData/Committee_Clean.dta", /* +> */ keep(c_*) +(note: you are using old merge syntax; see [D] merge for new syntax) +variables v2 state_abbrev district term_served do not uniquely identify observations in the master data + +. tab _merge + + _merge | Freq. Percent Cum. +------------+----------------------------------- + 1 | 15,803 1.49 1.49 + 2 | 1 0.00 1.49 + 3 | 1,042,182 98.51 100.00 +------------+----------------------------------- + Total | 1,057,986 100.00 + +. drop _merge + +. +. sort v2 state_abbrev district + +. merge v2 state_abbrev district using "$RawData/DistrictCharacteristics_Clean.dta", /* +> */ keep(v2 state_abbrev district losing_candidate_clean_cqq losing_candidate_gender mixed_gender_election /* +> */ sample1 demshare1 repshare1 MV1_democrat tot_pop pct_age_over65 pct_black pct_for_born pct_urban med_inc_all lnpop lnarea lninc /* +> */ charisma_dem predicted_dem rep_incumbent_cqq dem_incumbent_cqq minor_incumbent_cqq lag_demshare1) +(note: you are using old merge syntax; see [D] merge for new syntax) +variables v2 state_abbrev district do not uniquely identify observations in the master data + +. tab _merge + + _merge | Freq. Percent Cum. +------------+----------------------------------- + 1 | 21,611 2.04 2.04 + 3 | 1,036,375 97.96 100.00 +------------+----------------------------------- + Total | 1,057,986 100.00 + +. drop _merge + +. +. foreach var of varlist state_abbrev state_icpsr district term_served name_clean v1_fix female party age tenure_run pus comc comr dwnom1 dwnom2 /* +> */ losing_candidate_clean_cqq losing_candidate_gender mixed_gender_election /* +> */ sample1 demshare1 repshare1 MV1_democrat charisma_dem predicted_dem /* +> */ tot_pop pct_age_over65 pct_black pct_for_born pct_urban med_inc_all lnpop lnarea lninc /* +> */ rep_incumbent_cqq dem_incumbent_cqq minor_incumbent_cqq lag_demshare1 /* +> */ borninstate agestart privatesec anycoll namedcoll ivycoll statecoll anygrad jd mba phd military /* +> */ occ0 occ1 occ2 occ3 occ4 occ5 occ6 DSpndPct DSpndPct_miss DDonaPct CQRating3 CQRating3_01 c_* black native asian latino { + 2. ren `var' cosp_`var' + 3. } + +. +. foreach name in "state_abbrev" "state_icpsr" "district" "term_served" "v1_fix" "age" "female" "tenure_run" "party" { + 2. ren cosp_`name' cosponsor_`name' // this to be consistent with previous code + 3. } + +. +. egen cosponsor_v1_flex=group(cosponsor_v1_fix v2) +(23105 missing values generated) + +. +. sort v2 HRnumber + +. save "$IntermediateData/CosponsorsWithInfo_Clean_v2.dta", replace +file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Data/IntermediateData/CosponsorsWithInfo_Clean_v2.dta saved + +. +. +. +. * (1b) Use the Clean Bill data, add to it individual and district characteristics +. clear + +. use "$RawData/BillCharacteristics_Clean.dta", clear + +. sort v2 state_abbrev district term_served + +. merge v2 state_abbrev district term_served using "$RawData/IndividualCharacteristics_Clean.dta", /* +> */ keep(v2 state_abbrev state_icpsr district term_served name_clean v1_fix female party age pus tenure_run comc comr dwnom1 dwnom2 /* +> */ borninstate agestart privatesec anycoll namedcoll ivycoll statecoll anygrad jd mba phd military /* +> */ occ0 occ1 occ2 occ3 occ4 occ5 occ6 DSpndPct DDonaPct CQRating3 CQRating3_01 black native asian latino) +(note: you are using old merge syntax; see [D] merge for new syntax) +variables v2 state_abbrev district term_served do not uniquely identify observations in the master data +(note: variable v2 was int, now long to accommodate using data's values) +(note: variable district was byte, now double to accommodate using data's values) +(note: variable term_served was byte, now float to accommodate using data's values) +(note: variable name_clean was str30, now str39 to accommodate using data's values) + +. tab _merge + + _merge | Freq. Percent Cum. +------------+----------------------------------- + 1 | 1,031 1.61 1.61 + 2 | 3 0.00 1.62 + 3 | 62,990 98.38 100.00 +------------+----------------------------------- + Total | 64,024 100.00 + +. drop if _merge==2 +(3 observations deleted) + +. drop _merge + +. +. merge m:1 v2 state_abbrev district term_served using "$RawData/PrimaryElections.dta", keepusing(v2 state_abbrev district term_served mixed_gender_primary MVprim_fe +> male) + + Result # of obs. + ----------------------------------------- + not matched 1,034 + from master 1,031 (_merge==1) + from using 3 (_merge==2) + + matched 62,990 (_merge==3) + ----------------------------------------- + +. compress + variable v2 was long now int + variable term_served was float now byte + variable CQRating3_01 was float now byte + variable black was float now byte + variable native was float now byte + variable asian was float now byte + variable latino was float now byte + variable district was double now byte + variable CQRating3 was double now byte + variable name_clean was str39 now str30 + (2,753,032 bytes saved) + +. +. drop if _merge==2 +(3 observations deleted) + +. drop _merge + +. +. +. gen DSpndPct_miss=DSpndPct==. + +. replace DSpndPct=50 if DSpndPct==. +(12,365 real changes made) + +. +. sort v2 state_abbrev district term_served + +. merge v2 state_abbrev district term_served using "$RawData/Committee_Clean.dta", /* +> */ keep(c_*) +(note: you are using old merge syntax; see [D] merge for new syntax) +variables v2 state_abbrev district term_served do not uniquely identify observations in the master data + +. tab _merge + + _merge | Freq. Percent Cum. +------------+----------------------------------- + 1 | 426 0.67 0.67 + 2 | 1 0.00 0.67 + 3 | 63,595 99.33 100.00 +------------+----------------------------------- + Total | 64,022 100.00 + +. drop _merge + +. +. sort v2 state_abbrev district + +. merge v2 state_abbrev district using "$RawData/DistrictCharacteristics_Clean.dta", /* +> */ keep(v2 state_abbrev district sample1 republican democratic minor1_vote /* +> */ demshare1 repshare1 MV1_democrat mixed_gender_election /* +> */ losing_candidate_clean_cqq losing_candidate_gender /* +> */ tot_pop pct_age_over65 pct_black pct_for_born pct_urban med_inc_all lnpop lnarea lninc/* +> */ charisma_dem predicted_dem rep_incumbent_cqq dem_incumbent_cqq minor_incumbent_cqq lag_demshare1) +(note: you are using old merge syntax; see [D] merge for new syntax) +variables v2 state_abbrev district do not uniquely identify observations in the master data +(label _merge already defined) + +. tab _merge + + _merge | Freq. Percent Cum. +------------+----------------------------------- + 1 | 1,032 1.61 1.61 + 3 | 62,990 98.39 100.00 +------------+----------------------------------- + Total | 64,022 100.00 + +. drop _merge + +. +. ******************************************************************************* +. * IMPORTANT ADDITION (DANIELE, 2013/06/04): Keep only non-private bills +. count + 64,022 + +. keep if private==0 +(1,626 observations deleted) + +. count + 62,396 + +. ******************************************************************************* +. +. +. keep v2 HRnumber state_abbrev state_icpsr district term_served name_clean sponsor v1_fix intro_date /* +> */ numb_cosponsors numb_committees_master plaw_master lma_date iter_length mult commem house_* /* +> */ major minor passh passs plaw_cbp plawdate female party age pus tenure_run /* +> */ comc comr dwnom1 dwnom2 republican democratic minor1_vote losing_candidate_clean_cqq /* +> */ losing_candidate_gender mixed_gender_election sample1 demshare1 repshare1 MV1_democrat /* +> */ tot_pop pct_age_over65 pct_black pct_urban pct_for_born med_inc_all lnpop lnarea lninc /* +> */ charisma_dem predicted_dem rep_incumbent_cqq dem_incumbent_cqq minor_incumbent_cqq lag_demshare1 private /* +> */ borninstate agestart privatesec anycoll namedcoll ivycoll statecoll anygrad jd mba phd military /* +> */ occ0 occ1 occ2 occ3 occ4 occ5 occ6 DSpndPct DSpndPct_miss DDonaPct CQRating3 CQRating3_01 c_* /* +> */ black native asian latino mixed_gender_primary MVprim_female + +. +. +. +. sort v2 HRnumber + +. merge v2 HRnumber using "$IntermediateData/CosponsorsWithInfo_Clean_v2.dta" +(note: you are using old merge syntax; see [D] merge for new syntax) +(note: variable v2 was int, now long to accommodate using data's values) +variables v2 HRnumber do not uniquely identify observations in /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication + package/Data/IntermediateData/CosponsorsWithInfo_Clean_v2.dta + +. tab _merge + + _merge | Freq. Percent Cum. +------------+----------------------------------- + 2 | 2,019 0.19 0.19 + 3 | 1,055,967 99.81 100.00 +------------+----------------------------------- + Total | 1,057,986 100.00 + +. drop _merge + +. +. gen int sponsor_party = party +(8,664 missing values generated) + +. gen byte sponsor_female = female +(8,537 missing values generated) + +. gen byte sponsor_tenure_run = tenure_run +(8,537 missing values generated) + +. gen byte sponsor_age = age +(8,649 missing values generated) + +. gen str2 sponsor_state_abbrev = state_abbrev +(8,537 missing values generated) + +. gen sponsor_state_icpsr = state_icpsr +(8,537 missing values generated) + +. gen int sponsor_district = district +(8,537 missing values generated) + +. gen byte sponsor_term_served = term_served +(8,537 missing values generated) + +. gen sponsor_v1_fix = v1_fix +(8,702 missing values generated) + +. +. +. +. * Identify bills cosponsored by the opposite party +. gen byte cosponsor_opposite_party = (cosponsor_party==100 & sponsor_party==200) | (cosponsor_party==200 & sponsor_party==100) if sponsor_party~=. & cosponsor_party +> ~=. +(29,028 missing values generated) + +. egen numb_cosponsors_opposite = sum(cosponsor_opposite_party), by(v2 HRnumber) + +. gen pct_cosponsors_opposite = numb_cosponsors_opposite/(numb_cosponsors) +(28,056 missing values generated) + +. +. egen tag_bill = tag(v2 HRnumber) + +. +. * calculate number of bills cosponsored +. egen nbills_cosponsored = count(HRnumber), by(v2 cosponsor_state_abbrev cosponsor_district cosponsor_term_served) + +. +. egen nbills_cosponsored_opposite = sum(cosponsor_opposite_party), by(v2 cosponsor_state_abbrev cosponsor_district cosponsor_term_served) + +. gen pctbills_cosponsored_opposite = nbills_cosponsored_opposite/(nbills_cosponsored) +(76 missing values generated) + +. +. +. egen tag_cosponsor = tag(v2 cosponsor_state_abbrev cosponsor_district cosponsor_term_served) + +. egen tag_sponsor = tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) + +. +. +. compress + variable v2 was long now int + variable DSpndPct_miss was float now byte + variable cosponsor_term_served was float now byte + variable cosp_CQRating3_01 was float now byte + variable cosp_black was float now byte + variable cosp_native was float now byte + variable cosp_asian was float now byte + variable cosp_latino was float now byte + variable cosp_DSpndPct_miss was float now byte + variable cosponsor_v1_flex was float now int + variable sponsor_state_icpsr was float now byte + variable sponsor_district was int now byte + variable numb_cosponsors_opposite was float now int + variable nbills_cosponsored was float now int + variable nbills_cosponsored_opposite was float now int + variable cosponsor_district was double now byte + variable cosp_CQRating3 was double now byte + variable cosp_name_clean was str39 now str30 + (64,537,146 bytes saved) + +. +. +. +. ********************************************************************************************************* +. +. * (1) Create the RD forcing variable for sponsors and cosponsors +. +. +. * (1a) Create RD forcing variables for sponsors... +. gen MV1_female = MV1_democrat if sponsor_party==100 & sponsor_female==1 & mixed_gender_election==1 +(976,107 missing values generated) + +. replace MV1_female = -MV1_democrat if sponsor_party==200 & sponsor_female==1 & mixed_gender_election==1 +(34,512 real changes made) + +. replace MV1_female = MV1_democrat if sponsor_party==200 & sponsor_female==0 & mixed_gender_election==1 +(61,535 real changes made) + +. replace MV1_female = -MV1_democrat if sponsor_party==100 & sponsor_female==0 & mixed_gender_election==1 +(35,070 real changes made) + +. +. +. +. +. *****UPDATE, FEBRUARY 2014 +. gen charisma_winner = charisma_dem if sponsor_party==100 +(539,472 missing values generated) + +. replace charisma_winner = -charisma_dem if sponsor_party==200 +(429,341 real changes made) + +. +. gen predicted_winner = predicted_dem if sponsor_party==100 +(539,472 missing values generated) + +. replace predicted_winner = 1-predicted_dem if sponsor_party==200 +(429,341 real changes made) + +. +. *************************************************** +. +. +. +. +. drop if sponsor=="Rep Herseth, Stephanie" | cosponsor=="Rep Herseth, Stephanie" +(1,060 observations deleted) + +. +. replace MV1_female = 100*MV1_female +(212,265 real changes made) + +. label var MV1_female "Margin victory female sponsor" + +. +. * interactions between gender dummy and RD forcing variable +. gen femaleXMV1_female=sponsor_female*MV1_female +(844,661 missing values generated) + +. forvalues j = 2/4{ + 2. gen MV1_female__`j' = MV1_female^`j' + 3. gen femaleXMV1_female__`j' = sponsor_female*MV1_female__`j' + 4. } +(844,661 missing values generated) +(844,661 missing values generated) +(844,661 missing values generated) +(844,661 missing values generated) +(844,661 missing values generated) +(844,661 missing values generated) + +. +. +. * (1b) Create RD forcing variables for cosponsors... +. gen cosp_MV1_female = cosp_MV1_democrat if cosponsor_party==100 & cosponsor_female==1 & cosp_mixed_gender_election==1 +(977,135 missing values generated) + +. replace cosp_MV1_female = -cosp_MV1_democrat if cosponsor_party==200 & cosponsor_female==1 & cosp_mixed_gender_election==1 +(26,772 real changes made) + +. replace cosp_MV1_female = cosp_MV1_democrat if cosponsor_party==200 & cosponsor_female==0 & cosp_mixed_gender_election==1 +(60,172 real changes made) + +. replace cosp_MV1_female = -cosp_MV1_democrat if cosponsor_party==100 & cosponsor_female==0 & cosp_mixed_gender_election==1 +(43,701 real changes made) + +. +. replace cosp_MV1_female = 100*cosp_MV1_female +(210,436 real changes made) + +. label var cosp_MV1_female "Margin victory female cosponsor" + +. +. *****UPDATE, FEBRUARY 2014 +. gen cosp_charisma_winner = cosp_charisma_dem if cosponsor_party==100 +(495,602 missing values generated) + +. replace cosp_charisma_winner = -cosp_charisma_dem if cosponsor_party==200 +(375,333 real changes made) + +. +. gen cosp_predicted_winner = cosp_predicted_dem if cosponsor_party==100 +(495,602 missing values generated) + +. replace cosp_predicted_winner = 1-cosp_predicted_dem if cosponsor_party==200 +(375,333 real changes made) + +. +. *************************************************** +. +. +. +. +. * interactions between gender dummy and RD forcing variable +. gen femaleXcosp_MV1_female=cosponsor_female*cosp_MV1_female +(846,490 missing values generated) + +. forvalues j = 2/4 { + 2. gen cosp_MV1_female__`j' = cosp_MV1_female^`j' + 3. gen femaleXcosp_MV1_female__`j' = cosponsor_female*cosp_MV1_female__`j' + 4. } +(846,490 missing values generated) +(846,490 missing values generated) +(846,490 missing values generated) +(846,490 missing values generated) +(846,490 missing values generated) +(846,490 missing values generated) + +. +. * discretize running variable +. gen MV1_female_bins = int(MV1_female)+0.5 if MV1_female>0 & MV1_female~=. +(941,200 missing values generated) + +. replace MV1_female_bins = int(MV1_female)-0.5 if MV1_female<0 & MV1_female~=. +(96,539 real changes made) + +. +. gen MV1_female_bins2 = 2*int(MV1_female/2)+1 if MV1_female>0 & MV1_female~=. +(941,200 missing values generated) + +. replace MV1_female_bins2 = 2*int(MV1_female/2)-1 if MV1_female<0 & MV1_female~=. +(96,539 real changes made) + +. +. gen cosp_MV1_female_bins = int(cosp_MV1_female)+.5 if cosp_MV1_female>0 & cosp_MV1_female~=. +(950,363 missing values generated) + +. replace cosp_MV1_female_bins = int(cosp_MV1_female)-0.5 if cosp_MV1_female<0 & cosp_MV1_female~=. +(103,873 real changes made) + +. +. gen cosp_MV1_female_bins2 = 2*int(cosp_MV1_female/2)+1 if cosp_MV1_female>0 & cosp_MV1_female~=. +(950,363 missing values generated) + +. replace cosp_MV1_female_bins2 = 2*int(cosp_MV1_female/2)-1 if cosp_MV1_female<0 & cosp_MV1_female~=. +(103,873 real changes made) + +. +. * these two variables may come in handy later +. gen byte sponsor_democrat = sponsor_party==100 + +. gen MV1_democratXsponsor_democrat = MV1_democrat*sponsor_democrat +(108,617 missing values generated) + +. +. +. * NEW OUTCOMES * +. +. * identify bills cosponsored by women, and by women of the opposite party +. gen byte cosponsor_fem = (cosponsor_female==1) if cosponsor_female~=. +(22,496 missing values generated) + +. egen numb_cosponsors_fem = sum(cosponsor_fem), by(v2 HRnumber) + +. gen pct_cosponsors_fem = numb_cosponsors_fem/(numb_cosponsors) +(28,037 missing values generated) + +. +. gen byte cosponsor_fem_opposite = (cosponsor_party==100 & sponsor_party==200 & cosponsor_female==1) | (cosponsor_party==200 & sponsor_party==100 & cosponsor_female +> ==1) if sponsor_party~=. & cosponsor_party~=. & cosponsor_female~=. +(29,009 missing values generated) + +. egen numb_cosponsors_fem_opposite = sum(cosponsor_fem_opposite), by(v2 HRnumber) + +. gen pct_cosponsors_fem_opposite = numb_cosponsors_fem_opposite/(numb_cosponsors) +(28,037 missing values generated) + +. +. gen byte cosponsor_male_sp = (cosponsor_party==100 & sponsor_party==100 & cosponsor_female==0) | (cosponsor_party==200 & sponsor_party==200 & cosponsor_female==0) +> if sponsor_party~=. & cosponsor_party~=. & cosponsor_female~=. +(29,009 missing values generated) + +. egen numb_cosponsors_male_sp = sum(cosponsor_male_sp), by(v2 HRnumber) + +. gen pct_cosponsors_male_sp = numb_cosponsors_male_sp/(numb_cosponsors) +(28,037 missing values generated) + +. +. * identify cosponsored bills by women, and women of opposite party +. egen nbills_cosponsored_fem = sum(sponsor_female), by(v2 cosponsor_state_abbrev cosponsor_district cosponsor_term_served) + +. gen pctbills_cosponsored_fem = nbills_cosponsored_fem/(nbills_cosponsored) +(76 missing values generated) + +. +. gen byte sponsor_female_opposite = (cosponsor_party==100 & sponsor_party==200 & sponsor_female==1) | (cosponsor_party==200 & sponsor_party==100 & sponsor_female== +> 1) if sponsor_party~=. & cosponsor_party~=. & sponsor_female~=. +(29,009 missing values generated) + +. egen nbills_cosponsored_fem_opp = sum(sponsor_female_opposite), by(v2 cosponsor_state_abbrev cosponsor_district cosponsor_term_served) + +. gen pctbills_cosponsored_fem_opp = nbills_cosponsored_fem_opp/(nbills_cosponsored) +(76 missing values generated) + +. +. * identify variance/sd/distance in DW among cosponsors +. egen sd_cosp_dwnom1_nospons = sd(cosp_dwnom1), by(v2 HRnumber) +(27939 missing values generated) + +. replace sd_cosp_dwnom1_nospons = . if numb_cosponsors==0 +(166 real changes made, 166 to missing) + +. gen var_cosp_dwnom1_nospons = sd_cosp_dwnom1_nospons^2 +(28,105 missing values generated) + +. replace var_cosp_dwnom1_nospons = . if numb_cosponsors==0 +(0 real changes made) + +. egen m_cosp_dwnom1_nospons=mean(cosp_dwnom1), by(v2 HRnumber) +(21685 missing values generated) + +. replace m_cosp_dwnom1_nospons = . if numb_cosponsors==0 +(166 real changes made, 166 to missing) + +. gen a_cosp_dwnom1=abs(cosp_dwnom1) +(36,648 missing values generated) + +. egen ma_cosp_dwnom1_nospons=mean(a_cosp_dwnom1), by(v2 HRnumber) +(21685 missing values generated) + +. replace ma_cosp_dwnom1_nospons = . if numb_cosponsors==0 +(166 real changes made, 166 to missing) + +. gen d_cosp_dwnom1=cosp_dwnom1-dwnom1 +(53,124 missing values generated) + +. egen md_cosp_dwnom1_nospons=mean(d_cosp_dwnom1), by(v2 HRnumber) +(38498 missing values generated) + +. replace md_cosp_dwnom1_nospons = . if numb_cosponsors==0 +(166 real changes made, 166 to missing) + +. gen ad_cosp_dwnom1=abs(cosp_dwnom1-dwnom1) +(53,124 missing values generated) + +. egen mad_cosp_dwnom1_nospons=mean(d_cosp_dwnom1), by(v2 HRnumber) +(38498 missing values generated) + +. replace mad_cosp_dwnom1_nospons = . if numb_cosponsors==0 +(166 real changes made, 166 to missing) + +. drop a_cosp_dwnom1 d_cosp_dwnom1 ad_cosp_dwnom1 + +. +. expand 2, gen(new) +(1,056,926 observations created) + +. bysort v2 HRnumber new: gen counter=_n + +. drop if new==1 & counter!=1 +(993,020 observations deleted) + +. replace cosp_dwnom1=dwnom1 if new==1 +(61,460 real changes made, 789 to missing) + +. egen sd_cosp_dwnom1_spons = sd(cosp_dwnom1), by(v2 HRnumber) +(43640 missing values generated) + +. replace sd_cosp_dwnom1_spons = 0 if numb_cosponsors==0 +(38,840 real changes made) + +. gen var_cosp_dwnom1_spons = sd_cosp_dwnom1_spons^2 +(4,970 missing values generated) + +. replace var_cosp_dwnom1_spons = 0 if numb_cosponsors==0 +(0 real changes made) + +. egen m_cosp_dwnom1_spons=mean(cosp_dwnom1), by(v2 HRnumber) +(4752 missing values generated) + +. *replace m_cosp_dwnom1_spons = . if numb_cosponsors==0 +. gen a_cosp_dwnom1=abs(cosp_dwnom1) +(39,821 missing values generated) + +. egen ma_cosp_dwnom1_spons=mean(a_cosp_dwnom1), by(v2 HRnumber) +(4752 missing values generated) + +. *replace ma_cosp_dwnom1_spons = . if numb_cosponsors==0 +. gen d_cosp_dwnom1=cosp_dwnom1-dwnom1 +(56,297 missing values generated) + +. egen md_cosp_dwnom1_spons=mean(d_cosp_dwnom1), by(v2 HRnumber) +(22370 missing values generated) + +. replace md_cosp_dwnom1_spons = 0 if numb_cosponsors==0 +(598 real changes made) + +. gen ad_cosp_dwnom1=abs(cosp_dwnom1-dwnom1) +(56,297 missing values generated) + +. egen mad_cosp_dwnom1_spons=mean(d_cosp_dwnom1), by(v2 HRnumber) +(22370 missing values generated) + +. replace mad_cosp_dwnom1_spons = 0 if numb_cosponsors==0 +(598 real changes made) + +. drop a_cosp_dwnom1 d_cosp_dwnom1 ad_cosp_dwnom1 + +. +. drop if new==1 +(63,906 observations deleted) + +. drop new counter + +. +. * add network measures +. merge m:1 v2 cosponsor_state_abbrev cosponsor_district cosponsor_term_served using "$RawData/CentralityMeasures_all.dta", keep(master matched) keepusing(degree clo +> seness betweenness eigenvector closeness_w betweenness_w eigenvector_w) + + Result # of obs. + ----------------------------------------- + not matched 21,592 + from master 21,592 (_merge==1) + from using 0 (_merge==2) + + matched 1,035,334 (_merge==3) + ----------------------------------------- + +. drop _m + +. foreach var of varlist degree closeness betweenness eigenvector closeness_w betweenness_w eigenvector_w { + 2. rename `var' cosponsor_`var' + 3. egen m_`var'_nospons = mean(cosponsor_`var'), by(v2 HRnumber) + 4. replace m_`var'_nospons=. if numb_cosponsors==0 + 5. } +(21664 missing values generated) +(166 real changes made, 166 to missing) +(21664 missing values generated) +(166 real changes made, 166 to missing) +(21664 missing values generated) +(166 real changes made, 166 to missing) +(21664 missing values generated) +(166 real changes made, 166 to missing) +(21664 missing values generated) +(166 real changes made, 166 to missing) +(21664 missing values generated) +(166 real changes made, 166 to missing) +(21664 missing values generated) +(166 real changes made, 166 to missing) + +. +. expand 2, gen(new) +(1,056,926 observations created) + +. bysort v2 HRnumber new: gen counter=_n + +. drop if new==1 & counter!=1 +(993,020 observations deleted) + +. merge m:1 v2 sponsor_state_abbrev sponsor_district sponsor_term_served using "$RawData/CentralityMeasures_all.dta", keep(master matched) keepusing(degree closeness +> betweenness eigenvector closeness_w betweenness_w eigenvector_w) + + Result # of obs. + ----------------------------------------- + not matched 11,108 + from master 11,108 (_merge==1) + from using 0 (_merge==2) + + matched 1,109,724 (_merge==3) + ----------------------------------------- + +. drop _m + +. foreach var of varlist degree closeness betweenness eigenvector closeness_w betweenness_w eigenvector_w { + 2. replace cosponsor_`var'=`var' if new==1 + 3. egen m_`var'_spons = mean(cosponsor_`var'), by(v2 HRnumber) + 4. * replace m_`var'_spons=. if numb_cosponsors==0 +. drop `var' cosponsor_`var' + 5. } +(61,589 real changes made, 414 to missing) +(4382 missing values generated) +(61,597 real changes made, 414 to missing) +(4382 missing values generated) +(61,747 real changes made, 414 to missing) +(4382 missing values generated) +(61,747 real changes made, 414 to missing) +(4382 missing values generated) +(61,247 real changes made, 414 to missing) +(4382 missing values generated) +(61,747 real changes made, 414 to missing) +(4382 missing values generated) +(61,747 real changes made, 414 to missing) +(4382 missing values generated) + +. +. drop if new==1 +(63,906 observations deleted) + +. drop new counter + +. +. +. +. **************************************************************************************** +. ***** UPDATE, FEBRUARY 2014: Create some additional variables measuring the characteristics of cosponsors +. +. * identify whether cosponsor is committee chair or committee ranking members +. gen byte cosponsor_leader = (cosp_comc==1) | (cosp_comr==1) if cosp_comc~=. & cosp_comr~=. +(29,033 missing values generated) + +. egen numb_cosponsors_leader = sum(cosponsor_leader), by(v2 HRnumber) + +. gen pct_cosponsors_leader = numb_cosponsors_leader/(numb_cosponsors) +(28,037 missing values generated) + +. +. * Calculate average tenure and age of cosponsors, pct of cosponsors that are rookies +. egen avgtenure_cosponsors = mean(cosponsor_tenure_run), by(v2 HRnumber) +--Break-- +r(1); + +end of do-file +--Break-- +r(1); + +end of do-file + +--Break-- +r(1); + +. do "/Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Dofiles/Table6.do" + +. clear + +. set mem 500m +set memory ignored. + Memory no longer needs to be set in modern Statas; memory adjustments are performed on the fly automatically. + +. set more off + +. set logtype text + +. set matsize 3000 + +. +. cap log close diff --git a/30/replication_package/Log/003_prepare_data_replication.log b/30/replication_package/Log/003_prepare_data_replication.log new file mode 100644 index 0000000000000000000000000000000000000000..198d1e052bd518ac2708bb5268e080aae9f75ae6 --- /dev/null +++ b/30/replication_package/Log/003_prepare_data_replication.log @@ -0,0 +1,411 @@ +--------------------------------------------------------------------------------------------------------------------------------------------------------------------- + name: + log: /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Log/003_prepare_data_replication.log + log type: text + opened on: 29 Mar 2021, 22:08:36 + +. +. +. ******************************************************************************** +. +. * From the Bills analysis data, make a cleaner data set with only the variables that will be used in the analysis +. use "$IntermediateData/bills_analysis_101-111_clean.dta" + +. +. ren sponsor sponsor_name + +. +. * keep only relevant variables +. keep private v2 HRnumber sponsor_state_abbrev sponsor_district sponsor_term_served /* +> */ sponsor_name sponsor_female sponsor_party sponsor_age sponsor_tenure_run sponsor_state_icpsr /* +> */ agestart comc comr anycoll ivycoll black occ0 occ1 occ2 occ3 occ4 occ5 occ6 borninstate dwnom1 DSpndPct /* +> */ mixed_gender_election MV1_democrat MV1_female femaleXMV1_female lag_demshare1 lnpop lnarea lninc pct_black pct_urban pct_for_born pct_age_over65 /* +> */ numb_cosponsors numb_cosponsors_opposite pct_cosponsors_opposite plaw_cbp passh women_friend1 women_friend3 minor house_* /* +> */ numb_cosponsors_tenure_59 numb_cosponsors_tenure_10plus numb_cosponsors_fem numb_cosponsors_leader var_cosp_dwnom1_spons m_betweenness_w_spons + +. +. * Order the variables +. order private v2 HRnumber sponsor_state_abbrev sponsor_district sponsor_term_served /* +> */ sponsor_name sponsor_female sponsor_party sponsor_age sponsor_tenure_run sponsor_state_icpsr /* +> */ agestart comc comr anycoll ivycoll black occ0 occ1 occ2 occ3 occ4 occ5 occ6 borninstate dwnom1 DSpndPct /* +> */ mixed_gender_election MV1_democrat MV1_female femaleXMV1_female lag_demshare1 lnpop lnarea lninc pct_black pct_urban pct_for_born pct_age_over65 /* +> */ numb_cosponsors numb_cosponsors_opposite pct_cosponsors_opposite plaw_cbp passh women_friend1 women_friend3 minor house_* /* +> */ numb_cosponsors_tenure_59 numb_cosponsors_tenure_10plus numb_cosponsors_fem numb_cosponsors_leader var_cosp_dwnom1_spons m_betweenness_w_spons + +. +. +. *label commands +. label data "Bill-level data set. Each observation is an individual bill." + +. +. label var HRnumber "Bill H.R. number (B)" + +. label var sponsor_state_abbrev "Sponsor state - postal code (I)" + +. label var sponsor_district "Sponsor district (I)" + +. label var sponsor_term_served "Sponsor order seated (I)" + +. label var sponsor_name "Sponsor name (Congress.gov) (B)" + +. label var sponsor_female "1 if sponsor is female (I)" + +. label var sponsor_party "Sponsor party (I)" + +. label var sponsor_age "Sponsor age (I)" + +. label var sponsor_tenure_run "Sponsor tenure in Congress (I)" + +. label var sponsor_state_icpsr "Sponsor state (ICPSR code) (I)" + +. label var agestart "Age at start of term (I)" + +. label var comc "Chair of any committee? (CBP) (I)" + +. label var comr "Ranking member of any committee (CBP) (I)" + +. label var anycoll "Any college degree? (ICPSR + congress.gov) (I)" + +. label var ivycoll "Attended an Ivy League college (ICPSR + congress.gov) (I)" + +. label var black "1 if black (ICPSR + congress.gov) (I)" + +. label var occ0 "Last occupation unknown (ICPSR + congress.gov) (I)" + +. label var occ1 "Last occupation: Education (ICPSR + congress.gov) (I)" + +. label var occ2 "Last occupation: Lawyer(ICPSR + congress.gov) (I)" + +. label var occ3 "Last occupation: Professional (ICPSR + congress.gov) (I)" + +. label var occ4 "Last occupation: Business(ICPSR + congress.gov) (I)" + +. label var occ5 "Last occupation: Agriculture (ICPSR + congress.gov) (I)" + +. label var occ6 "Last occupation: Miscellaneous (ICPSR + congress.gov) (I)" + +. label var borninstate "1 if born in state (ICPSR + congress.gov) (I)" + +. label var dwnom1 "DW-Nominate, 1st dimension (Poole-Rosenthal) (I)" + +. label var mixed_gender_election "1 if mixed gender election (D)" + +. label var MV1_democrat "Margin of victory of the Democratic candidate (D)" + +. label var MV1_female "Margin of victory of the female candidate in mixed-gender elections (D)" + +. label var femaleXMV1_female "Sponsor female * MV1_female (D)" + +. label var lag_demshare1 "Lagged Democratic share (D)" + +. label var lnpop "ln(population) in cong. district (Scott Adler + Census Summary Files) (D)" + +. label var lnarea "Ln(area in sq. miles) of cong. district (Scott Adler + Census Summary Files) (D)" + +. label var lninc "Ln(median family income) of cong. district (Scott Adler + Census Summary Files) (D)" +note: label truncated to 80 characters + +. label var pct_black "% black in cong. district (Scott Adler + Census Summary Files) (D)" + +. label var pct_urban "% urban in cong. district (Scott Adler + Census Summary Files) (D)" + +. label var pct_for_born "% foreign born in cong. district (Scott Adler + Census Summary Files) (D)" + +. label var pct_age_over65 "% age over 65 in cong. district (Scott Adler + Census Summary Files) (D)" + +. label var numb_cosponsors "Number of cosponsors (B)" + +. label var numb_cosponsors_opposite "Number of cosponsors of the opposite party(B)" + +. label var pct_cosponsors_opposite "Percent cosponsors of the opposite party(B)" + +. label var plaw_cbp "Bill became public law (CBP) (B)" + +. label var passh "Bill passed the House (CBP) (B)" + +. label var women_friend1 "1 if CR, HE, LA, ED, LAW, SW (CBP) (B)" + +. label var women_friend3 "1 if topic where fraction of F *sponsors* > 75th pctile (B)" + +. label var minor "Minor topic code (CBP) (B)" + +. +. foreach housecomm in "administration" /* +> */ "agriculture" /* +> */ "appropriations" /* +> */ "armedservices" /* +> */ "budget" /* +> */ "dc" /* +> */ "educlabor" /* +> */ "energycommerce" /* +> */ "foreignaffairs" /* +> */ "governmentop" /* +> */ "intelligence" /* +> */ "interior" /* +> */ "judiciary" /* +> */ "mmf" /* +> */ "pocs" /* +> */ "pwt" /* +> */ "rules" /* +> */ "sst" /* +> */ "smallbusi" /* +> */ "soc" /* +> */ "veterans" /* +> */ "waysandmeans" /* +> */ "naturalresources" /* +> */ "bfs" /* +> */ "eeo" /* +> */ "govreform" /* +> */ "ir" /* +> */ "natsecur" /* +> */ "oversight" /* +> */ "resources" /* +> */ "science" /* +> */ "transp" /* +> */ "homeland" { + 2. label var house_`housecomm' "House Committee: `housecomm' (congress.gov) (B)" + 3. } + +. +. label var numb_cosponsors_tenure_59 "Number of cosponsors with tenure 5-9 (number of Congresses) (B)" + +. label var numb_cosponsors_tenure_10plus "Number of cosponsors with tenure 10+ (number of Congresses) (B)" + +. label var numb_cosponsors_fem "Number of female cosponsors (B)" + +. label var numb_cosponsors_leader "Number of cosponsors who are either Committe chairs or ranking members (B)" + +. label var var_cosp_dwnom1_spons "Variance of DW-Nominate1 among all cosponsors (including sponsor) (B)" + +. label var m_betweenness_w_spons "Mean weighted betweenness centrality of all cosponsors (including sponsor) (B)" + +. +. compress + variable v2 was long now int + variable women_friend1 was float now byte + variable numb_cosponsors_tenure_59 was float now int + variable numb_cosponsors_tenure_10plus was float now byte + variable numb_cosponsors_fem was float now byte + variable numb_cosponsors_leader was float now byte + (1,022,320 bytes saved) + +. save "$AnalysisData/bills_analysis_101-111_replication.dta", replace +file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Data/AnalysisData/bills_analysis_101-111_replication.dta saved + +. +. ******************************************************************************** +. ******************************************************************************** +. ******************************************************************************** +. ******************************************************************************** +. +. * From the cosponsors_analysis data, make a cleaner data set with only the variables that will be used in the analysis +. use "$IntermediateData/cosponsors_analysis_101-111_clean.dta", clear + +. +. *drop if v2==103 & cosponsor_state_abbrev=="FL" & cosponsor_district==41 /* This Congressional District does not exist */ +. +. gen cosponsor_name = cosponsor /* Cosponsor name as in congress.gov */ +(18 missing values generated) + +. replace cosponsor_name = cosp_name_clean if cosponsor_name=="" /* If congress.gov name is missing, replace with name from other source */ +(17 real changes made) + +. +. * keep only relevant variables +. keep v2 cosponsor_state_abbrev cosponsor_district cosponsor_term_served cosponsor_name cosponsor_v1_fix /* +> */ pctbills_cosponsored_opp nbills_cosponsored_opp nbills_cosponsored /* +> */ cosponsor_female cosponsor_party cosponsor_age cosponsor_tenure_run cosponsor_state_icpsr /* +> */ cosp_comc cosp_comr cosp_ivycoll cosp_black cosp_occ0 cosp_occ1 cosp_occ2 cosp_occ3 cosp_occ4 cosp_occ5 cosp_occ6 /* +> */ cosp_borninstate cosp_dwnom1 cosp_DSpndPct /* +> */ cosp_mixed_gender_election cosp_MV1_democrat cosp_MV1_female femaleXcosp_MV1_female /* +> */ cosp_lnpop cosp_lnarea cosp_lninc cosp_pct_b cosp_pct_u cosp_pct_f cosp_pct_a house_*_m + +. +. * Order the variables +. order v2 cosponsor_state_abbrev cosponsor_district cosponsor_term_served cosponsor_name cosponsor_v1_fix/* +> */ pctbills_cosponsored_opp nbills_cosponsored_opp nbills_cosponsored /* +> */ cosponsor_female cosponsor_party cosponsor_age cosponsor_tenure_run cosponsor_state_icpsr /* +> */ cosp_comc cosp_comr cosp_ivycoll cosp_black cosp_occ0 cosp_occ1 cosp_occ2 cosp_occ3 cosp_occ4 cosp_occ5 cosp_occ6 /* +> */ cosp_borninstate cosp_dwnom1 cosp_DSpndPct /* +> */ cosp_mixed_gender_election cosp_MV1_democrat cosp_MV1_female femaleXcosp_MV1_female /* +> */ cosp_lnpop cosp_lnarea cosp_lninc cosp_pct_b cosp_pct_u cosp_pct_f cosp_pct_a house_*_m + +. +. +. *label commands +. label data "Individual-level data set. Each observation is an individual congress member." + +. +. label var cosponsor_state_abbrev "State - postal code (I)" + +. label var cosponsor_district "District (I)" + +. label var cosponsor_term_served "Order seated (I)" + +. label var cosponsor_name "Name (congress.gov) (I)" + +. label var cosponsor_v1_fix "Congress member ICPSR code (v1), fixed and updated (I)" + +. label var pctbills_cosponsored_opposite "Pct. bills cosponsored that were sponsored by a member of the opposite party (I)" + +. label var nbills_cosponsored_opposite "Number of bills cosponsored that were sponsored by a member of the opposite party (I)" +note: label truncated to 80 characters + +. label var nbills_cosponsored "Number of bills cosponsored (I)" + +. label var cosponsor_female "1 if female (I)" + +. label var cosponsor_party "Party (I)" + +. label var cosponsor_age "Age (I)" + +. label var cosponsor_tenure_run "Tenure in Congress (I)" + +. label var cosponsor_state_icpsr "State (ICPSR code) (I)" + +. label var cosp_comc "Chair of any committee? (CBP) (I)" + +. label var cosp_comr "Ranking member of any committee (CBP) (I)" + +. label var cosp_ivycoll "Attended an Ivy League college (ICPSR + congress.gov) (I)" + +. label var cosp_black "1 if black (ICPSR + congress.gov) (I)" + +. label var cosp_occ0 "Last occupation unknown (ICPSR + congress.gov) (I)" + +. label var cosp_occ1 "Last occupation: Education (ICPSR + congress.gov) (I)" + +. label var cosp_occ2 "Last occupation: Lawyer(ICPSR + congress.gov) (I)" + +. label var cosp_occ3 "Last occupation: Professional (ICPSR + congress.gov) (I)" + +. label var cosp_occ4 "Last occupation: Business(ICPSR + congress.gov) (I)" + +. label var cosp_occ5 "Last occupation: Agriculture (ICPSR + congress.gov) (I)" + +. label var cosp_occ6 "Last occupation: Miscellaneous (ICPSR + congress.gov) (I)" + +. label var cosp_borninstate "1 if born in state (ICPSR + congress.gov) (I)" + +. label var cosp_dwnom1 "DW-Nominate, 1st dimension (Poole-Rosenthal) (I)" + +. label var cosp_mixed_gender_election "1 if mixed-gender election (D)" + +. label var cosp_MV1_democrat "Margin of victory of the Democratic candidate (D)" + +. label var cosp_MV1_female "Margin of victory of the female candidate in mixed-gender elections (D)" + +. label var femaleXcosp_MV1_female "female * cosp_MV1_female (D)" + +. label var cosp_lnpop "ln(population) in cong. district (Scott Adler + Census Summary Files) (D)" + +. label var cosp_lnarea "Ln(area in sq. miles) of cong. district (Scott Adler + Census Summary Files) (D)" + +. label var cosp_lninc "Ln(median family income) of cong. district (Scott Adler + Census Summary Files) (D)" +note: label truncated to 80 characters + +. label var cosp_pct_b "% black in cong. district (Scott Adler + Census Summary Files) (D)" + +. label var cosp_pct_u "% urban in cong. district (Scott Adler + Census Summary Files) (D)" + +. label var cosp_pct_f "% foreign born in cong. district (Scott Adler + Census Summary Files) (D)" + +. label var cosp_pct_a "% age over 65 in cong. district (Scott Adler + Census Summary Files) (D)" + +. +. foreach housecomm in "administration" /* +> */ "agriculture" /* +> */ "appropriations" /* +> */ "armedservices" /* +> */ "budget" /* +> */ "dc" /* +> */ "educlabor" /* +> */ "energycommerce" /* +> */ "foreignaffairs" /* +> */ "governmentop" /* +> */ "intelligence" /* +> */ "interior" /* +> */ "judiciary" /* +> */ "mmf" /* +> */ "pocs" /* +> */ "pwt" /* +> */ "rules" /* +> */ "sst" /* +> */ "smallbusi" /* +> */ "soc" /* +> */ "veterans" /* +> */ "waysandmeans" /* +> */ "naturalresources" /* +> */ "bfs" /* +> */ "eeo" /* +> */ "govreform" /* +> */ "ir" /* +> */ "natsecur" /* +> */ "oversight" /* +> */ "resources" /* +> */ "science" /* +> */ "transp" /* +> */ "homeland" { + 2. label var house_`housecomm'_m "House Committee: `housecomm' (congress.gov) (B)" + 3. } + +. +. compress + variable v2 was long now int + (9,754 bytes saved) + +. save "$AnalysisData/cosponsors_analysis_101-111_replication.dta", replace +file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Data/AnalysisData/cosponsors_analysis_101-111_replication.dta saved + +. +. +. ******************************************************************************** +. clear + +. use "$IntermediateData/sponsors_analysis_101-111_clean.dta" + +. +. ren sponsor sponsor_name + +. +. keep v2 sponsor_state_abbrev sponsor_district sponsor_term_served sponsor_name /* +> */ sponsor_female sponsor_party dwnom1 predicted_dem + +. +. order v2 sponsor_state_abbrev sponsor_district sponsor_term_served sponsor_name /* +> */ sponsor_female sponsor_party dwnom1 predicted_dem + +. +. +. *label commands +. label data "Sponsor-level data set. Each observation is an individual congress member." + +. +. label var sponsor_state_abbrev "Sponsor state - postal code (I)" + +. label var sponsor_district "Sponsor district (I)" + +. label var sponsor_term_served "Sponsor order seated (I)" + +. label var sponsor_name "Sponsor name (Congress.gov) (B)" + +. label var sponsor_female "1 if sponsor is female (I)" + +. label var sponsor_party "Sponsor party (I)" + +. label var dwnom1 "DW-Nominate, 1st dimension (Poole-Rosenthal) (I)" + +. label var predicted_dem "Predicted democratic share (D)" + +. +. save "$AnalysisData/sponsors_analysis_101-111_replication.dta", replace +file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Data/AnalysisData/sponsors_analysis_101-111_replication.dta saved + +. +. +. log close + name: + log: /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Log/003_prepare_data_replication.log + log type: text + closed on: 29 Mar 2021, 22:08:37 +--------------------------------------------------------------------------------------------------------------------------------------------------------------------- diff --git a/30/replication_package/Log/AppendixC_simulations.log b/30/replication_package/Log/AppendixC_simulations.log new file mode 100644 index 0000000000000000000000000000000000000000..5482e4c61eb5a95ce89358d2d8a652de3cfc3e9d --- /dev/null +++ b/30/replication_package/Log/AppendixC_simulations.log @@ -0,0 +1,2522 @@ +--------------------------------------------------------------------------------------------------------------------------------------------------------------------- + name: + log: /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Log/AppendixC_simulations.log + log type: text + opened on: 12 May 2021, 00:03:12 + +. +. +. cap prog drop rd_sim + +. prog def rd_sim, rclass + 1. version 15.1 + 2. syntax [, nobs(integer 10000) beta_a(real 1.0) beta_b(real 1.0) rho_x(real 0.7) /* +> */ zbar_R(real 0.5) zbar_D(real -0.5) /* +> */ alpha_R(real 0.5) alpha_D(real 0.5) /* +> */ kappa_ksi_R(real 0.0) beta_ksi_R(real 10.0) kappa_ksi_D(real 0.0) beta_ksi_D(real 10.0) /* +> */ phi0_R(real -1.0) phi1_R(real -1.0) phi0_D(real -1.0) phi1_D(real -1.0) /* +> */ kappa_u(real 0.0) beta_u(real 1.0) /* +> */ gamma0(real 0.0) gamma1(real -5.0) gamma2(real 0.0) gamma3(real 0.0)/* +> */ tau0(real 0.3) tau1(real -1.0) tau2(real 0.0)] + 3. drop _all + 4. set obs `nobs' + 5. +. * Overall district ideology +. gen z = 2*(rbeta(`beta_a',`beta_b')-0.5) + 6. gen x = z + (sqrt((1-`rho_x'^2)/`rho_x'^2))*(2*(rbeta(`beta_a',`beta_b')-0.5)) + 7. +. * Ideology of R and candidates: weighted average of national party and local ideology, plus noise +. gen z_R = `alpha_R'*`zbar_R' + (1-`alpha_R')*z + `kappa_ksi_R'*(rbeta(`beta_ksi_R',`beta_ksi_R')-0.5) + 8. gen z_D = `alpha_D'*`zbar_D' + (1-`alpha_D')*z + `kappa_ksi_D'*(rbeta(`beta_ksi_D',`beta_ksi_D')-0.5) + 9. +. * Gender is correlated with candidate ideology +. gen byte female_D = rnormal(`phi0_D' + `phi1_D'*z_D)>0 + 10. gen byte female_R = rnormal(`phi0_R' + `phi1_R'*z_R)>0 + 11. +. * Voteshare depends on ideology of the candidates plus noise +. gen u = `kappa_u'*(rbeta(`beta_u', `beta_u')-0.5) + 12. gen voteshare_D = (exp(`gamma0' + `gamma1'*(z - (z_D+z_R)/2) + `gamma2'*female_D - `gamma3'*female_R + u)/ /* +> */ (1+ exp(`gamma0' + `gamma1'*(z - (z_D+z_R)/2) + `gamma2'*female_D - `gamma3'*female_R + u ))) + 13. +. gen voteshare_female = voteshare_D if female_D==1 & female_R==0 + 14. replace voteshare_female = (1-voteshare_D) if female_D==0 & female_R==1 + 15. +. * Outcome: depends on who is elected +. gen y = `tau0' + `tau1'*abs(z_D) + `tau2'*female_D + rnormal() if voteshare_D>=0.5 + 16. replace y = `tau0' + `tau1'*abs(z_R) +`tau2'*female_R + rnormal() if voteshare_D<0.5 + 17. +. * Now four types of RD analyses +. * (1) Density test +. rddensity voteshare_female, c(0.5) + 18. local denstest_pval_all = e(pv_q) + 19. +. rddensity voteshare_female if voteshare_D>=0.5, c(0.5) + 20. local denstest_pval_D = e(pv_q) + 21. +. rddensity voteshare_female if voteshare_D<0.5, c(0.5) + 22. local denstest_pval_R = e(pv_q) + 23. +. * (2) is ideology continuous at the threshold +. rdrobust z voteshare_female, c(0.5) kernel(uniform) + 24. mat b = e(b) + 25. mat V = e(V) + 26. local b_ideology_all = b[1,1] + 27. local se_ideology_all = sqrt(V[1,1]) + 28. +. rdrobust z voteshare_female if voteshare_D>=0.5, c(0.5) kernel(uniform) + 29. mat b = e(b) + 30. mat V = e(V) + 31. local b_ideology_D = b[1,1] + 32. local se_ideology_D = sqrt(V[1,1]) + 33. +. rdrobust z voteshare_female if voteshare_D<0.5, c(0.5) kernel(uniform) + 34. mat b = e(b) + 35. mat V = e(V) + 36. local b_ideology_R = b[1,1] + 37. local se_ideology_R = sqrt(V[1,1]) + 38. +. * (3) Estimate treatment effect with simple RD +. rdrobust y voteshare_female, c(0.5) kernel(uniform) + 39. mat b = e(b) + 40. mat V = e(V) + 41. local b_rd_all = b[1,1] + 42. local se_rd_all = sqrt(V[1,1]) + 43. local band_all = e(h_l) + 44. +. rdrobust y voteshare_female if voteshare_D>=0.5, c(0.5) kernel(uniform) + 45. mat b = e(b) + 46. mat V = e(V) + 47. local b_rd_D = b[1,1] + 48. local se_rd_D = sqrt(V[1,1]) + 49. local band_D = e(h_l) + 50. +. rdrobust y voteshare_female if voteshare_D<0.5, c(0.5) kernel(uniform) + 51. mat b = e(b) + 52. mat V = e(V) + 53. local b_rd_R = b[1,1] + 54. local se_rd_R = sqrt(V[1,1]) + 55. local band_R = e(h_l) + 56. +. * (4-5) Estimate the treatment effect with weighted RD +. gen byte female = female_D if voteshare_D>=0.5 + 57. replace female = female_R if voteshare_D<0.5 + 58. gen voteshare_female_adj = voteshare_female-0.5 + 59. +. * (4) using x +. probit female x if abs(voteshare_female_adj)<=`band_all' + 60. predict pscore if e(sample)==1 + 61. gen wt =1/pscore if female==1 + 62. replace wt = 1/(1-pscore) if female==0 + 63. reg y female voteshare_female_adj i.female#c.voteshare_female_adj [aw=wt] if abs(voteshare_female_adj)<=`band_all' + 64. local b_rdwt_all = _b[female] + 65. local se_rdwt_all = _se[female] + 66. drop pscore wt + 67. +. probit female x if voteshare_D>=0.5 & abs(voteshare_female_adj)<=`band_D' + 68. predict pscore if e(sample)==1 + 69. gen wt =1/pscore if female==1 + 70. replace wt = 1/(1-pscore) if female==0 + 71. reg y female voteshare_female_adj i.female#c.voteshare_female_adj [aw=wt] if voteshare_D>=0.5 & abs(voteshare_female_adj)<=`band_D' + 72. local b_rdwt_D = _b[female] + 73. local se_rdwt_D = _se[female] + 74. drop pscore wt + 75. +. probit female x if voteshare_D<0.5 & abs(voteshare_female_adj)<=`band_R' + 76. predict pscore if e(sample)==1 + 77. gen wt =1/pscore if female==1 + 78. replace wt = 1/(1-pscore) if female==0 + 79. reg y female voteshare_female_adj i.female#c.voteshare_female_adj [aw=wt] if voteshare_D<0.5 & abs(voteshare_female_adj)<=`band_R' + 80. local b_rdwt_R = _b[female] + 81. local se_rdwt_R = _se[female] + 82. drop pscore wt + 83. +. +. +. * (5a) using ideology of the district +. probit female z if abs(voteshare_female_adj)<=`band_all' + 84. predict pscore if e(sample)==1 + 85. gen wt =1/pscore if female==1 + 86. replace wt = 1/(1-pscore) if female==0 + 87. reg y female voteshare_female_adj i.female#c.voteshare_female_adj [aw=wt] if abs(voteshare_female_adj)<=`band_all' + 88. local b_rdwtideodistrict_all = _b[female] + 89. local se_rdwtideodistrict_all = _se[female] + 90. drop pscore wt + 91. +. probit female z if voteshare_D>=0.5 & abs(voteshare_female_adj)<=`band_D' + 92. predict pscore if e(sample)==1 + 93. gen wt =1/pscore if female==1 + 94. replace wt = 1/(1-pscore) if female==0 + 95. reg y female voteshare_female_adj i.female#c.voteshare_female_adj [aw=wt] if voteshare_D>=0.5 & abs(voteshare_female_adj)<=`band_D' + 96. local b_rdwtideodistrict_D = _b[female] + 97. local se_rdwtideodistrict_D = _se[female] + 98. drop pscore wt + 99. +. probit female z if voteshare_D<0.5 & abs(voteshare_female_adj)<=`band_R' +100. predict pscore if e(sample)==1 +101. gen wt =1/pscore if female==1 +102. replace wt = 1/(1-pscore) if female==0 +103. reg y female voteshare_female_adj i.female#c.voteshare_female_adj [aw=wt] if voteshare_D<0.5 & abs(voteshare_female_adj)<=`band_R' +104. local b_rdwtideodistrict_R = _b[female] +105. local se_rdwtideodistrict_R = _se[female] +106. drop pscore wt +107. +. * (5b) using ideology of the elected representative +. gen z_elected = z_D if voteshare_D>=0.5 +108. replace z_elected = z_R if voteshare_D<0.5 +109. +. probit female z_elected if abs(voteshare_female_adj)<=`band_all' +110. predict pscore if e(sample)==1 +111. gen wt =1/pscore if female==1 +112. replace wt = 1/(1-pscore) if female==0 +113. reg y female voteshare_female_adj i.female#c.voteshare_female_adj [aw=wt] if abs(voteshare_female_adj)<=`band_all' +114. local b_rdwtideoelected_all = _b[female] +115. local se_rdwtideoelected_all = _se[female] +116. drop pscore wt +117. +. probit female z_elected if voteshare_D>=0.5 & abs(voteshare_female_adj)<=`band_D' +118. predict pscore if e(sample)==1 +119. gen wt =1/pscore if female==1 +120. replace wt = 1/(1-pscore) if female==0 +121. reg y female voteshare_female_adj i.female#c.voteshare_female_adj [aw=wt] if voteshare_D>=0.5 & abs(voteshare_female_adj)<=`band_D' +122. local b_rdwtideoelected_D = _b[female] +123. local se_rdwtideoelected_D = _se[female] +124. drop pscore wt +125. +. probit female z_elected if voteshare_D<0.5 & abs(voteshare_female_adj)<=`band_R' +126. predict pscore if e(sample)==1 +127. gen wt =1/pscore if female==1 +128. replace wt = 1/(1-pscore) if female==0 +129. reg y female voteshare_female_adj i.female#c.voteshare_female_adj [aw=wt] if voteshare_D<0.5 & abs(voteshare_female_adj)<=`band_R' +130. local b_rdwtideoelected_R = _b[female] +131. local se_rdwtideoelected_R = _se[female] +132. drop pscore wt +133. +. * (6-7) Propensity score methods +. gen absMV = abs(voteshare_D-0.5) +134. +. * (6a) pscore - x +. cap teffects ipw (y) (female x absMV, probit), pstolerance(1e-6) osample(osample) +135. teffects ipw (y) (female x absMV, probit) if osample==0, pstolerance(1e-6) +136. drop osample +137. mat b = e(b) +138. mat V = e(V) +139. local b_pscorex_all = b[1,1] +140. local se_pscorex_all = sqrt(V[1,1]) +141. +. cap teffects ipw (y) (female x absMV, probit) if voteshare_D>=0.5, pstolerance(1e-6) osample(osample) +142. teffects ipw (y) (female x absMV, probit) if voteshare_D>=0.5 & osample==0, pstolerance(1e-6) +143. drop osample +144. mat b = e(b) +145. mat V = e(V) +146. local b_pscorex_D = b[1,1] +147. local se_pscorex_D = sqrt(V[1,1]) +148. +. cap teffects ipw (y) (female x absMV, probit) if voteshare_D<0.5, pstolerance(1e-6) osample(osample) +149. teffects ipw (y) (female x absMV, probit) if voteshare_D<0.5 & osample==0, pstolerance(1e-6) +150. drop osample +151. mat b = e(b) +152. mat V = e(V) +153. local b_pscorex_R = b[1,1] +154. local se_pscorex_R = sqrt(V[1,1]) +155. +. +. * (7a) pscore - district ideology +. cap teffects ipw (y) (female z absMV, probit), pstolerance(1e-6) osample(osample) +156. teffects ipw (y) (female z absMV, probit) if osample==0, pstolerance(1e-6) +157. drop osample +158. mat b = e(b) +159. mat V = e(V) +160. local b_pscoreideodistrict_all = b[1,1] +161. local se_pscoreideodistrict_all = sqrt(V[1,1]) +162. +. cap teffects ipw (y) (female z absMV, probit) if voteshare_D>=0.5, pstolerance(1e-6) osample(osample) +163. teffects ipw (y) (female z absMV, probit) if voteshare_D>=0.5 & osample==0, pstolerance(1e-6) +164. drop osample +165. mat b = e(b) +166. mat V = e(V) +167. local b_pscoreideodistrict_D = b[1,1] +168. local se_pscoreideodistrict_D = sqrt(V[1,1]) +169. +. cap teffects ipw (y) (female z absMV, probit) if voteshare_D<0.5, pstolerance(1e-6) osample(osample) +170. teffects ipw (y) (female z absMV, probit) if voteshare_D<0.5 & osample==0, pstolerance(1e-6) +171. drop osample +172. mat b = e(b) +173. mat V = e(V) +174. local b_pscoreideodistrict_R = b[1,1] +175. local se_pscoreideodistrict_R = sqrt(V[1,1]) +176. +. +. * (7b) pscore - elected representative ideology +. cap teffects ipw (y) (female z_elected absMV, probit), pstolerance(1e-6) osample(osample) +177. teffects ipw (y) (female z_elected absMV, probit) if osample==0, pstolerance(1e-6) +178. drop osample +179. mat b = e(b) +180. mat V = e(V) +181. local b_pscoreideoelected_all = b[1,1] +182. local se_pscoreideoelected_all = sqrt(V[1,1]) +183. +. cap teffects ipw (y) (female z_elected absMV, probit) if voteshare_D>=0.5, pstolerance(1e-6) osample(osample) +184. teffects ipw (y) (female z_elected absMV, probit) if voteshare_D>=0.5 & osample==0, pstolerance(1e-6) +185. drop osample +186. mat b = e(b) +187. mat V = e(V) +188. local b_pscoreideoelected_D = b[1,1] +189. local se_pscoreideoelected_D = sqrt(V[1,1]) +190. +. cap teffects ipw (y) (female z_elected absMV, probit) if voteshare_D<0.5, pstolerance(1e-6) osample(osample) +191. teffects ipw (y) (female z_elected absMV, probit) if voteshare_D<0.5 & osample==0, pstolerance(1e-6) +192. drop osample +193. mat b = e(b) +194. mat V = e(V) +195. local b_pscoreideoelected_R = b[1,1] +196. local se_pscoreideoelected_R = sqrt(V[1,1]) +197. +. +. * (8) OLS +. reg y female +198. local b_ols_all =_b[female] +199. local se_ols_all = _se[female] +200. +. reg y female if voteshare_D>=0.5 +201. local b_ols_D = _b[female] +202. local se_ols_D = _se[female] +203. +. reg y female if voteshare_D<0.5 +204. local b_ols_R = _b[female] +205. local se_ols_R = _se[female] +206. +. * (9) Return +. return scalar denstest_pval_all = `denstest_pval_all' +207. return scalar denstest_pval_D = `denstest_pval_D' +208. return scalar denstest_pval_R = `denstest_pval_R' +209. +. return scalar b_ideology_all = `b_ideology_all' +210. return scalar se_ideology_all = `se_ideology_all' +211. return scalar b_ideology_D = `b_ideology_D' +212. return scalar se_ideology_D = `se_ideology_D' +213. return scalar b_ideology_R = `b_ideology_R' +214. return scalar se_ideology_R = `se_ideology_R' +215. +. return scalar b_rd_all = `b_rd_all' +216. return scalar se_rd_all = `se_rd_all' +217. return scalar b_rd_D = `b_rd_D' +218. return scalar se_rd_D = `se_rd_D' +219. return scalar b_rd_R = `b_rd_R' +220. return scalar se_rd_R = `se_rd_R' +221. +. return scalar b_rdwt_all = `b_rdwt_all' +222. return scalar se_rdwt_all = `se_rdwt_all' +223. return scalar b_rdwt_D = `b_rdwt_D' +224. return scalar se_rdwt_D = `se_rdwt_D' +225. return scalar b_rdwt_R = `b_rdwt_R' +226. return scalar se_rdwt_R = `se_rdwt_R' +227. +. return scalar b_rdwtideodistrict_all = `b_rdwtideodistrict_all' +228. return scalar se_rdwtideodistrict_all = `se_rdwtideodistrict_all' +229. return scalar b_rdwtideodistrict_D = `b_rdwtideodistrict_D' +230. return scalar se_rdwtideodistrict_D = `se_rdwtideodistrict_D' +231. return scalar b_rdwtideodistrict_R = `b_rdwtideodistrict_R' +232. return scalar se_rdwtideodistrict_R = `se_rdwtideodistrict_R' +233. +. return scalar b_rdwtideoelected_all = `b_rdwtideoelected_all' +234. return scalar se_rdwtideoelected_all = `se_rdwtideoelected_all' +235. return scalar b_rdwtideoelected_D = `b_rdwtideoelected_D' +236. return scalar se_rdwtideoelected_D = `se_rdwtideoelected_D' +237. return scalar b_rdwtideoelected_R = `b_rdwtideoelected_R' +238. return scalar se_rdwtideoelected_R = `se_rdwtideoelected_R' +239. +. return scalar b_pscorex_all = `b_pscorex_all' +240. return scalar se_pscorex_all = `se_pscorex_all' +241. return scalar b_pscorex_D = `b_pscorex_D' +242. return scalar se_pscorex_D = `se_pscorex_D' +243. return scalar b_pscorex_R = `b_pscorex_R' +244. return scalar se_pscorex_R = `se_pscorex_R' +245. +. return scalar b_pscoreideodistrict_all = `b_pscoreideodistrict_all' +246. return scalar se_pscoreideodistrict_all = `se_pscoreideodistrict_all' +247. return scalar b_pscoreideodistrict_D = `b_pscoreideodistrict_D' +248. return scalar se_pscoreideodistrict_D = `se_pscoreideodistrict_D' +249. return scalar b_pscoreideodistrict_R = `b_pscoreideodistrict_R' +250. return scalar se_pscoreideodistrict_R = `se_pscoreideodistrict_R' +251. +. return scalar b_pscoreideoelected_all = `b_pscoreideoelected_all' +252. return scalar se_pscoreideoelected_all = `se_pscoreideoelected_all' +253. return scalar b_pscoreideoelected_D = `b_pscoreideoelected_D' +254. return scalar se_pscoreideoelected_D = `se_pscoreideoelected_D' +255. return scalar b_pscoreideoelected_R = `b_pscoreideoelected_R' +256. return scalar se_pscoreideoelected_R = `se_pscoreideoelected_R' +257. +. return scalar b_ols_all = `b_ols_all' +258. return scalar se_ols_all = `se_ols_all' +259. return scalar b_ols_D = `b_ols_D' +260. return scalar se_ols_D = `se_ols_D' +261. return scalar b_ols_R = `b_ols_R' +262. return scalar se_ols_R = `se_ols_R' +263. +. end + +. +. +. ******************************************************************************** +. ******************************************************************************** +. ******************************************************************************** +. +. * Now actually run the simulations +. +. set seed 1234567 + +. +. * Run one simulation as a test +. rd_sim, beta_a(5) beta_b(5) kappa_ksi_R(0.4) kappa_ksi_D(0.4) kappa_u(1) tau1(-5) rho_x(0.6) nobs(100000) /* +> */ gamma2(0.0) gamma3(0.6) phi1_D(-1) phi1_R(-1) +number of observations (_N) was 0, now 100,000 +(79,715 missing values generated) +(8,263 real changes made) +(53,038 missing values generated) +(53,038 real changes made) +Computing data-driven bandwidth selectors. + +Point estimates and standard errors have been adjusted for repeated observations. +(Use option nomasspoints to suppress this adjustment.) + +RD Manipulation test using local polynomial density estimation. + + c = 0.500 | Left of c Right of c Number of obs = 28548 +-------------------+---------------------- Model = unrestricted + Number of obs | 11425 17123 BW method = comb +Eff. Number of obs | 4542 4450 Kernel = triangular + Order est. (p) | 2 2 VCE method = jackknife + Order bias (q) | 3 3 + BW est. (h) | 0.096 0.083 + +Running variable: voteshare_female. +------------------------------------------ + Method | T P>|T| +-------------------+---------------------- + Robust | -0.2327 0.8160 +------------------------------------------ + +P-values of binomial tests. (H0: prob = .5) +----------------------------------------------------- + Window Length / 2 | =c | P>|T| +-------------------+----------------------+---------- + 0.000 | 5 15 | 0.0414 + 0.000 | 19 29 | 0.1934 + 0.001 | 31 40 | 0.3425 + 0.001 | 42 54 | 0.2615 + 0.001 | 51 69 | 0.1203 + 0.001 | 64 83 | 0.1374 + 0.002 | 69 97 | 0.0358 + 0.002 | 83 112 | 0.0447 + 0.002 | 100 127 | 0.0842 + 0.002 | 115 132 | 0.3086 +----------------------------------------------------- +Computing data-driven bandwidth selectors. + +Point estimates and standard errors have been adjusted for repeated observations. +(Use option nomasspoints to suppress this adjustment.) + +RD Manipulation test using local polynomial density estimation. + + c = 0.500 | Left of c Right of c Number of obs = 13774 +-------------------+---------------------- Model = unrestricted + Number of obs | 2457 11317 BW method = comb +Eff. Number of obs | 1615 6442 Kernel = triangular + Order est. (p) | 2 2 VCE method = jackknife + Order bias (q) | 3 3 + BW est. (h) | 0.141 0.173 + +Running variable: voteshare_female. +------------------------------------------ + Method | T P>|T| +-------------------+---------------------- + Robust | 9.3618 0.0000 +------------------------------------------ + +P-values of binomial tests. (H0: prob = .5) +----------------------------------------------------- + Window Length / 2 | =c | P>|T| +-------------------+----------------------+---------- + 0.000 | 5 15 | 0.0414 + 0.000 | 19 29 | 0.1934 + 0.001 | 31 40 | 0.3425 + 0.001 | 42 54 | 0.2615 + 0.001 | 51 69 | 0.1203 + 0.001 | 64 83 | 0.1374 + 0.002 | 69 97 | 0.0358 + 0.002 | 83 112 | 0.0447 + 0.002 | 100 127 | 0.0842 + 0.002 | 115 132 | 0.3086 +----------------------------------------------------- +Computing data-driven bandwidth selectors. + +Point estimates and standard errors have been adjusted for repeated observations. +(Use option nomasspoints to suppress this adjustment.) + +RD Manipulation test using local polynomial density estimation. + + c = 0.500 | Left of c Right of c Number of obs = 14774 +-------------------+---------------------- Model = unrestricted + Number of obs | 8968 5806 BW method = comb +Eff. Number of obs | 6647 2312 Kernel = triangular + Order est. (p) | 2 2 VCE method = jackknife + Order bias (q) | 3 3 + BW est. (h) | 0.211 0.148 + +Running variable: voteshare_female. +------------------------------------------ + Method | T P>|T| +-------------------+---------------------- + Robust | -12.2100 0.0000 +------------------------------------------ + +P-values of binomial tests. (H0: prob = .5) +----------------------------------------------------- + Window Length / 2 | =c | P>|T| +-------------------+----------------------+---------- + 0.000 | 5 15 | 0.0414 + 0.000 | 19 29 | 0.1934 + 0.001 | 31 40 | 0.3425 + 0.001 | 42 54 | 0.2615 + 0.001 | 51 69 | 0.1203 + 0.001 | 64 83 | 0.1374 + 0.002 | 69 97 | 0.0358 + 0.002 | 83 112 | 0.0447 + 0.002 | 100 127 | 0.0842 + 0.002 | 115 132 | 0.3086 +----------------------------------------------------- + +Sharp RD estimates using local polynomial regression. + + Cutoff c = .5 | Left of c Right of c Number of obs = 28548 +-------------------+---------------------- BW type = mserd + Number of obs | 11425 17123 Kernel = Uniform +Eff. Number of obs | 2282 2410 VCE method = NN + Order est. (p) | 1 1 + Order bias (q) | 2 2 + BW est. (h) | 0.046 0.046 + BW bias (b) | 0.092 0.092 + rho (h/b) | 0.497 0.497 + +Outcome: z. Running variable: voteshare_female. +-------------------------------------------------------------------------------- + Method | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------------+------------------------------------------------------------ + Conventional | .01855 .00924 2.0073 0.045 .000437 .036665 + Robust | - - 2.0807 0.037 .001262 .042242 +-------------------------------------------------------------------------------- + +Sharp RD estimates using local polynomial regression. + + Cutoff c = .5 | Left of c Right of c Number of obs = 13774 +-------------------+---------------------- BW type = mserd + Number of obs | 2457 11317 Kernel = Uniform +Eff. Number of obs | 882 2485 VCE method = NN + Order est. (p) | 1 1 + Order bias (q) | 2 2 + BW est. (h) | 0.065 0.065 + BW bias (b) | 0.118 0.118 + rho (h/b) | 0.552 0.552 + +Outcome: z. Running variable: voteshare_female. +-------------------------------------------------------------------------------- + Method | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------------+------------------------------------------------------------ + Conventional | .2107 .00961 21.9190 0.000 .191862 .229544 + Robust | - - 18.9995 0.000 .191055 .235007 +-------------------------------------------------------------------------------- + +Sharp RD estimates using local polynomial regression. + + Cutoff c = .5 | Left of c Right of c Number of obs = 14774 +-------------------+---------------------- BW type = mserd + Number of obs | 8968 5806 Kernel = Uniform +Eff. Number of obs | 2933 1286 VCE method = NN + Order est. (p) | 1 1 + Order bias (q) | 2 2 + BW est. (h) | 0.083 0.083 + BW bias (b) | 0.151 0.151 + rho (h/b) | 0.551 0.551 + +Outcome: z. Running variable: voteshare_female. +-------------------------------------------------------------------------------- + Method | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------------+------------------------------------------------------------ + Conventional | -.19744 .0082 -24.0813 0.000 -.213511 -.181372 + Robust | - - -20.4594 0.000 -.214516 -.177009 +-------------------------------------------------------------------------------- + +Sharp RD estimates using local polynomial regression. + + Cutoff c = .5 | Left of c Right of c Number of obs = 28548 +-------------------+---------------------- BW type = mserd + Number of obs | 11425 17123 Kernel = Uniform +Eff. Number of obs | 4751 5448 VCE method = NN + Order est. (p) | 1 1 + Order bias (q) | 2 2 + BW est. (h) | 0.101 0.101 + BW bias (b) | 0.190 0.190 + rho (h/b) | 0.530 0.530 + +Outcome: y. Running variable: voteshare_female. +-------------------------------------------------------------------------------- + Method | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------------+------------------------------------------------------------ + Conventional | .17272 .04322 3.9964 0.000 .088013 .257427 + Robust | - - 3.2304 0.001 .063486 .25937 +-------------------------------------------------------------------------------- + +Sharp RD estimates using local polynomial regression. + + Cutoff c = .5 | Left of c Right of c Number of obs = 13774 +-------------------+---------------------- BW type = mserd + Number of obs | 2457 11317 Kernel = Uniform +Eff. Number of obs | 880 2484 VCE method = NN + Order est. (p) | 1 1 + Order bias (q) | 2 2 + BW est. (h) | 0.065 0.065 + BW bias (b) | 0.117 0.117 + rho (h/b) | 0.555 0.555 + +Outcome: y. Running variable: voteshare_female. +-------------------------------------------------------------------------------- + Method | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------------+------------------------------------------------------------ + Conventional | .31188 .07973 3.9117 0.000 .15561 .468147 + Robust | - - 3.3740 0.001 .131626 .496528 +-------------------------------------------------------------------------------- + +Sharp RD estimates using local polynomial regression. + + Cutoff c = .5 | Left of c Right of c Number of obs = 14774 +-------------------+---------------------- BW type = mserd + Number of obs | 8968 5806 Kernel = Uniform +Eff. Number of obs | 3622 1619 VCE method = NN + Order est. (p) | 1 1 + Order bias (q) | 2 2 + BW est. (h) | 0.104 0.104 + BW bias (b) | 0.184 0.184 + rho (h/b) | 0.566 0.566 + +Outcome: y. Running variable: voteshare_female. +-------------------------------------------------------------------------------- + Method | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------------+------------------------------------------------------------ + Conventional | .38413 .06763 5.6797 0.000 .251574 .516685 + Robust | - - 4.6972 0.000 .218021 .530242 +-------------------------------------------------------------------------------- +(53,038 missing values generated) +(53,038 real changes made) +(71,452 missing values generated) + +Iteration 0: log likelihood = -7045.573 +Iteration 1: log likelihood = -7014.2341 +Iteration 2: log likelihood = -7014.2334 +Iteration 3: log likelihood = -7014.2334 + +Probit regression Number of obs = 10,199 + LR chi2(1) = 62.68 + Prob > chi2 = 0.0000 +Log likelihood = -7014.2334 Pseudo R2 = 0.0044 + +------------------------------------------------------------------------------ + female | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + x | -.2260739 .0286094 -7.90 0.000 -.2821473 -.1700006 + _cons | .0707624 .0125909 5.62 0.000 .0460847 .09544 +------------------------------------------------------------------------------ +(option pr assumed; Pr(female)) +(89,801 missing values generated) +(94,552 missing values generated) +(4,751 real changes made) +(sum of wgt is 20,398.6936738491) + + Source | SS df MS Number of obs = 10,199 +-------------+---------------------------------- F(3, 10195) = 51.96 + Model | 193.062182 3 64.3540607 Prob > F = 0.0000 + Residual | 12626.5639 10,195 1.23850554 R-squared = 0.0151 +-------------+---------------------------------- Adj R-squared = 0.0148 + Total | 12819.6261 10,198 1.25707258 Root MSE = 1.1129 + +----------------------------------------------------------------------------------------------- + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------------+---------------------------------------------------------------- + female | .1739132 .0439874 3.95 0.000 .0876893 .2601372 + voteshare_female_adj | 3.538998 .5419161 6.53 0.000 2.476736 4.60126 + | +female#c.voteshare_female_adj | + 1 | -6.258399 .7649045 -8.18 0.000 -7.757763 -4.759036 + | + _cons | -1.052096 .0305361 -34.45 0.000 -1.111952 -.9922388 +----------------------------------------------------------------------------------------------- + +Iteration 0: log likelihood = -1933.3477 +Iteration 1: log likelihood = -1878.7605 +Iteration 2: log likelihood = -1878.6371 +Iteration 3: log likelihood = -1878.6371 + +Probit regression Number of obs = 3,364 + LR chi2(1) = 109.42 + Prob > chi2 = 0.0000 +Log likelihood = -1878.6371 Pseudo R2 = 0.0283 + +------------------------------------------------------------------------------ + female | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + x | .5759299 .055828 10.32 0.000 .4665091 .6853507 + _cons | .720536 .0252009 28.59 0.000 .6711433 .7699288 +------------------------------------------------------------------------------ +(option pr assumed; Pr(female)) +(96,636 missing values generated) +(97,516 missing values generated) +(880 real changes made) +(sum of wgt is 6,733.80004513264) + + Source | SS df MS Number of obs = 3,364 +-------------+---------------------------------- F(3, 3360) = 40.81 + Model | 139.293765 3 46.4312551 Prob > F = 0.0000 + Residual | 3822.60101 3,360 1.13767887 R-squared = 0.0352 +-------------+---------------------------------- Adj R-squared = 0.0343 + Total | 3961.89478 3,363 1.17808349 Root MSE = 1.0666 + +----------------------------------------------------------------------------------------------- + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------------+---------------------------------------------------------------- + female | .2406377 .0730094 3.30 0.001 .0974903 .3837851 + voteshare_female_adj | 6.792886 1.412536 4.81 0.000 4.023369 9.562403 + | +female#c.voteshare_female_adj | + 1 | -9.439579 1.989195 -4.75 0.000 -13.33973 -5.539424 + | + _cons | -1.285744 .0501982 -25.61 0.000 -1.384166 -1.187322 +----------------------------------------------------------------------------------------------- + +Iteration 0: log likelihood = -3240.1233 +Iteration 1: log likelihood = -3133.1627 +Iteration 2: log likelihood = -3132.9107 +Iteration 3: log likelihood = -3132.9107 + +Probit regression Number of obs = 5,241 + LR chi2(1) = 214.43 + Prob > chi2 = 0.0000 +Log likelihood = -3132.9107 Pseudo R2 = 0.0331 + +------------------------------------------------------------------------------ + female | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + x | -.629661 .0437244 -14.40 0.000 -.7153593 -.5439628 + _cons | -.5177479 .0184832 -28.01 0.000 -.5539742 -.4815216 +------------------------------------------------------------------------------ +(option pr assumed; Pr(female)) +(94,759 missing values generated) +(98,381 missing values generated) +(3,622 real changes made) +(sum of wgt is 10,475.5064911842) + + Source | SS df MS Number of obs = 5,241 +-------------+---------------------------------- F(3, 5237) = 80.33 + Model | 290.368848 3 96.7896161 Prob > F = 0.0000 + Residual | 6310.12588 5,237 1.20491233 R-squared = 0.0440 +-------------+---------------------------------- Adj R-squared = 0.0434 + Total | 6600.49473 5,240 1.2596364 Root MSE = 1.0977 + +----------------------------------------------------------------------------------------------- + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------------+---------------------------------------------------------------- + female | .3231791 .0614265 5.26 0.000 .2027576 .4436006 + voteshare_female_adj | 4.05668 .722778 5.61 0.000 2.639734 5.473627 + | +female#c.voteshare_female_adj | + 1 | -5.84145 1.017686 -5.74 0.000 -7.836538 -3.846362 + | + _cons | -.8815513 .0424921 -20.75 0.000 -.9648534 -.7982492 +----------------------------------------------------------------------------------------------- + +Iteration 0: log likelihood = -7045.573 +Iteration 1: log likelihood = -6830.0923 +Iteration 2: log likelihood = -6829.9941 +Iteration 3: log likelihood = -6829.9941 + +Probit regression Number of obs = 10,199 + LR chi2(1) = 431.16 + Prob > chi2 = 0.0000 +Log likelihood = -6829.9941 Pseudo R2 = 0.0306 + +------------------------------------------------------------------------------ + female | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + z | -1.538549 .0747452 -20.58 0.000 -1.685046 -1.392051 + _cons | -.0209974 .0136641 -1.54 0.124 -.0477786 .0057838 +------------------------------------------------------------------------------ +(option pr assumed; Pr(female)) +(89,801 missing values generated) +(94,552 missing values generated) +(4,751 real changes made) +(sum of wgt is 20,472.7413574457) + + Source | SS df MS Number of obs = 10,199 +-------------+---------------------------------- F(3, 10195) = 70.48 + Model | 262.88843 3 87.6294767 Prob > F = 0.0000 + Residual | 12675.1194 10,195 1.24326821 R-squared = 0.0203 +-------------+---------------------------------- Adj R-squared = 0.0200 + Total | 12938.0078 10,198 1.2686809 Root MSE = 1.115 + +----------------------------------------------------------------------------------------------- + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------------+---------------------------------------------------------------- + female | .1943662 .0436797 4.45 0.000 .1087454 .2799871 + voteshare_female_adj | 3.946968 .5368838 7.35 0.000 2.894571 4.999366 + | +female#c.voteshare_female_adj | + 1 | -6.460541 .7641782 -8.45 0.000 -7.958481 -4.962601 + | + _cons | -1.069798 .0301335 -35.50 0.000 -1.128866 -1.010731 +----------------------------------------------------------------------------------------------- + +Iteration 0: log likelihood = -1933.3477 +Iteration 1: log likelihood = -1286.2133 +Iteration 2: log likelihood = -1267.5265 +Iteration 3: log likelihood = -1267.4815 +Iteration 4: log likelihood = -1267.4815 + +Probit regression Number of obs = 3,364 + LR chi2(1) = 1331.73 + Prob > chi2 = 0.0000 +Log likelihood = -1267.4815 Pseudo R2 = 0.3444 + +------------------------------------------------------------------------------ + female | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + z | 7.444313 .2623512 28.38 0.000 6.930114 7.958512 + _cons | 1.78103 .0537058 33.16 0.000 1.675768 1.886291 +------------------------------------------------------------------------------ +(option pr assumed; Pr(female)) +(96,636 missing values generated) +(97,516 missing values generated) +(880 real changes made) +(sum of wgt is 6,608.81980001926) + + Source | SS df MS Number of obs = 3,364 +-------------+---------------------------------- F(3, 3360) = 112.97 + Model | 469.699399 3 156.566466 Prob > F = 0.0000 + Residual | 4656.54364 3,360 1.38587608 R-squared = 0.0916 +-------------+---------------------------------- Adj R-squared = 0.0908 + Total | 5126.24304 3,363 1.52430658 Root MSE = 1.1772 + +----------------------------------------------------------------------------------------------- + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------------+---------------------------------------------------------------- + female | -.793492 .0774302 -10.25 0.000 -.9453071 -.6416768 + voteshare_female_adj | 26.62825 1.637998 16.26 0.000 23.41667 29.83982 + | +female#c.voteshare_female_adj | + 1 | -31.34425 2.256755 -13.89 0.000 -35.769 -26.9195 + | + _cons | -.2816657 .0479712 -5.87 0.000 -.3757214 -.1876099 +----------------------------------------------------------------------------------------------- + +Iteration 0: log likelihood = -3240.1233 +Iteration 1: log likelihood = -2172.2326 +Iteration 2: log likelihood = -2152.4686 +Iteration 3: log likelihood = -2152.4172 +Iteration 4: log likelihood = -2152.4172 + +Probit regression Number of obs = 5,241 + LR chi2(1) = 2175.41 + Prob > chi2 = 0.0000 +Log likelihood = -2152.4172 Pseudo R2 = 0.3357 + +------------------------------------------------------------------------------ + female | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + z | -7.049271 .1911968 -36.87 0.000 -7.42401 -6.674532 + _cons | -.7631799 .0241643 -31.58 0.000 -.8105411 -.7158187 +------------------------------------------------------------------------------ +(option pr assumed; Pr(female)) +(94,759 missing values generated) +(98,381 missing values generated) +(3,622 real changes made) +(sum of wgt is 9,903.25282597542) + + Source | SS df MS Number of obs = 5,241 +-------------+---------------------------------- F(3, 5237) = 22.54 + Model | 81.2014589 3 27.067153 Prob > F = 0.0000 + Residual | 6288.68375 5,237 1.20081798 R-squared = 0.0127 +-------------+---------------------------------- Adj R-squared = 0.0122 + Total | 6369.8852 5,240 1.21562695 Root MSE = 1.0958 + +----------------------------------------------------------------------------------------------- + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------------+---------------------------------------------------------------- + female | -.1379332 .0656739 -2.10 0.036 -.2666815 -.0091849 + voteshare_female_adj | 5.627017 .7120137 7.90 0.000 4.231173 7.022861 + | +female#c.voteshare_female_adj | + 1 | -7.189718 1.03427 -6.95 0.000 -9.217319 -5.162118 + | + _cons | -.680452 .0396242 -17.17 0.000 -.758132 -.6027719 +----------------------------------------------------------------------------------------------- +(53,038 missing values generated) +(53,038 real changes made) + +Iteration 0: log likelihood = -7045.573 +Iteration 1: log likelihood = -6040.1188 +Iteration 2: log likelihood = -6037.2237 +Iteration 3: log likelihood = -6037.2236 + +Probit regression Number of obs = 10,199 + LR chi2(1) = 2016.70 + Prob > chi2 = 0.0000 +Log likelihood = -6037.2236 Pseudo R2 = 0.1431 + +------------------------------------------------------------------------------ + female | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + z_elected | -1.958926 .0449516 -43.58 0.000 -2.04703 -1.870823 + _cons | .0135668 .0133481 1.02 0.309 -.0125949 .0397285 +------------------------------------------------------------------------------ +(option pr assumed; Pr(female)) +(89,801 missing values generated) +(94,552 missing values generated) +(4,751 real changes made) +(sum of wgt is 20,703.5746251345) + + Source | SS df MS Number of obs = 10,199 +-------------+---------------------------------- F(3, 10195) = 156.58 + Model | 586.245291 3 195.415097 Prob > F = 0.0000 + Residual | 12723.9437 10,195 1.24805725 R-squared = 0.0440 +-------------+---------------------------------- Adj R-squared = 0.0438 + Total | 13310.189 10,198 1.3051764 Root MSE = 1.1172 + +----------------------------------------------------------------------------------------------- + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------------+---------------------------------------------------------------- + female | .3725144 .044218 8.42 0.000 .2858384 .4591904 + voteshare_female_adj | 3.852766 .5269349 7.31 0.000 2.81987 4.885662 + | +female#c.voteshare_female_adj | + 1 | -6.090878 .7661041 -7.95 0.000 -7.592593 -4.589164 + | + _cons | -1.201598 .0296283 -40.56 0.000 -1.259675 -1.14352 +----------------------------------------------------------------------------------------------- + +Iteration 0: log likelihood = -1933.3477 +Iteration 1: log likelihood = -1587.7928 +Iteration 2: log likelihood = -1582.0926 +Iteration 3: log likelihood = -1582.0776 +Iteration 4: log likelihood = -1582.0776 + +Probit regression Number of obs = 3,364 + LR chi2(1) = 702.54 + Prob > chi2 = 0.0000 +Log likelihood = -1582.0776 Pseudo R2 = 0.1817 + +------------------------------------------------------------------------------ + female | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + z_elected | 7.410054 .3114873 23.79 0.000 6.79955 8.020558 + _cons | 3.042828 .1071286 28.40 0.000 2.83286 3.252796 +------------------------------------------------------------------------------ +(option pr assumed; Pr(female)) +(96,636 missing values generated) +(97,516 missing values generated) +(880 real changes made) +(sum of wgt is 6,813.62821555138) + + Source | SS df MS Number of obs = 3,364 +-------------+---------------------------------- F(3, 3360) = 44.01 + Model | 168.894906 3 56.2983019 Prob > F = 0.0000 + Residual | 4298.15433 3,360 1.2792126 R-squared = 0.0378 +-------------+---------------------------------- Adj R-squared = 0.0369 + Total | 4467.04924 3,363 1.32829296 Root MSE = 1.131 + +----------------------------------------------------------------------------------------------- + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------------+---------------------------------------------------------------- + female | -.4509505 .0758094 -5.95 0.000 -.5995877 -.3023132 + voteshare_female_adj | 16.0325 1.518248 10.56 0.000 13.05572 19.00929 + | +female#c.voteshare_female_adj | + 1 | -19.80716 2.132745 -9.29 0.000 -23.98877 -15.62555 + | + _cons | -.6497326 .0491586 -13.22 0.000 -.7461164 -.5533488 +----------------------------------------------------------------------------------------------- + +Iteration 0: log likelihood = -3240.1233 +Iteration 1: log likelihood = -2594.5471 +Iteration 2: log likelihood = -2583.7661 +Iteration 3: log likelihood = -2583.7327 +Iteration 4: log likelihood = -2583.7327 + +Probit regression Number of obs = 5,241 + LR chi2(1) = 1312.78 + Prob > chi2 = 0.0000 +Log likelihood = -2583.7327 Pseudo R2 = 0.2026 + +------------------------------------------------------------------------------ + female | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + z_elected | -7.805294 .2423385 -32.21 0.000 -8.280269 -7.33032 + _cons | 1.29987 .0573838 22.65 0.000 1.1874 1.412341 +------------------------------------------------------------------------------ +(option pr assumed; Pr(female)) +(94,759 missing values generated) +(98,381 missing values generated) +(3,622 real changes made) +(sum of wgt is 10,372.1911814213) + + Source | SS df MS Number of obs = 5,241 +-------------+---------------------------------- F(3, 5237) = 16.72 + Model | 60.8606207 3 20.2868736 Prob > F = 0.0000 + Residual | 6354.50433 5,237 1.21338635 R-squared = 0.0095 +-------------+---------------------------------- Adj R-squared = 0.0089 + Total | 6415.36495 5,240 1.22430629 Root MSE = 1.1015 + +----------------------------------------------------------------------------------------------- + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------------+---------------------------------------------------------------- + female | -.1872573 .0632442 -2.96 0.003 -.3112422 -.0632723 + voteshare_female_adj | 5.046656 .7215085 6.99 0.000 3.632198 6.461113 + | +female#c.voteshare_female_adj | + 1 | -5.702727 1.02625 -5.56 0.000 -7.714604 -3.690849 + | + _cons | -.6934209 .0411359 -16.86 0.000 -.7740645 -.6127773 +----------------------------------------------------------------------------------------------- + +Iteration 0: EE criterion = 2.168e-28 +Iteration 1: EE criterion = 4.132e-33 + +Treatment-effects estimation Number of obs = 100,000 +Estimator : inverse-probability weights +Outcome model : weighted mean +Treatment model: probit +------------------------------------------------------------------------------ + | Robust + y | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- +ATE | + female | + (1 vs 0) | .185551 .009143 20.29 0.000 .1676311 .2034709 +-------------+---------------------------------------------------------------- +POmean | + female | + 0 | -1.51444 .0040466 -374.25 0.000 -1.522371 -1.506509 +------------------------------------------------------------------------------ + +Iteration 0: EE criterion = 5.545e-18 +Iteration 1: EE criterion = 2.076e-33 + +Treatment-effects estimation Number of obs = 46,962 +Estimator : inverse-probability weights +Outcome model : weighted mean +Treatment model: probit +------------------------------------------------------------------------------ + | Robust + y | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- +ATE | + female | + (1 vs 0) | -.0620271 .0113967 -5.44 0.000 -.0843642 -.03969 +-------------+---------------------------------------------------------------- +POmean | + female | + 0 | -1.499856 .0061075 -245.58 0.000 -1.511827 -1.487886 +------------------------------------------------------------------------------ + +Iteration 0: EE criterion = 2.364e-23 +Iteration 1: EE criterion = 4.823e-32 + +Treatment-effects estimation Number of obs = 53,038 +Estimator : inverse-probability weights +Outcome model : weighted mean +Treatment model: probit +------------------------------------------------------------------------------ + | Robust + y | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- +ATE | + female | + (1 vs 0) | .4934254 .015274 32.30 0.000 .4634889 .5233619 +-------------+---------------------------------------------------------------- +POmean | + female | + 0 | -1.519821 .0053757 -282.72 0.000 -1.530357 -1.509284 +------------------------------------------------------------------------------ + +Iteration 0: EE criterion = 7.198e-22 +Iteration 1: EE criterion = 6.742e-33 + +Treatment-effects estimation Number of obs = 100,000 +Estimator : inverse-probability weights +Outcome model : weighted mean +Treatment model: probit +------------------------------------------------------------------------------ + | Robust + y | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- +ATE | + female | + (1 vs 0) | .1960373 .0094185 20.81 0.000 .1775775 .2144971 +-------------+---------------------------------------------------------------- +POmean | + female | + 0 | -1.527443 .004071 -375.20 0.000 -1.535422 -1.519464 +------------------------------------------------------------------------------ + +Iteration 0: EE criterion = 4.047e-18 +Iteration 1: EE criterion = 2.245e-32 + +Treatment-effects estimation Number of obs = 46,962 +Estimator : inverse-probability weights +Outcome model : weighted mean +Treatment model: probit +------------------------------------------------------------------------------ + | Robust + y | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- +ATE | + female | + (1 vs 0) | -.0158669 .0108021 -1.47 0.142 -.0370386 .0053048 +-------------+---------------------------------------------------------------- +POmean | + female | + 0 | -1.51214 .0060289 -250.82 0.000 -1.523956 -1.500323 +------------------------------------------------------------------------------ + +Iteration 0: EE criterion = 2.427e-27 +Iteration 1: EE criterion = 1.682e-31 + +Treatment-effects estimation Number of obs = 52,919 +Estimator : inverse-probability weights +Outcome model : weighted mean +Treatment model: probit +------------------------------------------------------------------------------ + | Robust + y | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- +ATE | + female | + (1 vs 0) | -.1946729 .0624661 -3.12 0.002 -.3171042 -.0722417 +-------------+---------------------------------------------------------------- +POmean | + female | + 0 | -1.45934 .0055571 -262.61 0.000 -1.470232 -1.448448 +------------------------------------------------------------------------------ + +Iteration 0: EE criterion = 1.047e-24 +Iteration 1: EE criterion = 5.030e-32 + +Treatment-effects estimation Number of obs = 100,000 +Estimator : inverse-probability weights +Outcome model : weighted mean +Treatment model: probit +------------------------------------------------------------------------------ + | Robust + y | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- +ATE | + female | + (1 vs 0) | .2416772 .0092623 26.09 0.000 .2235235 .2598309 +-------------+---------------------------------------------------------------- +POmean | + female | + 0 | -1.519808 .0040542 -374.88 0.000 -1.527754 -1.511862 +------------------------------------------------------------------------------ + +Iteration 0: EE criterion = 3.676e-18 +Iteration 1: EE criterion = 2.042e-33 + +Treatment-effects estimation Number of obs = 46,962 +Estimator : inverse-probability weights +Outcome model : weighted mean +Treatment model: probit +------------------------------------------------------------------------------ + | Robust + y | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- +ATE | + female | + (1 vs 0) | -.000495 .0106006 -0.05 0.963 -.0212719 .0202818 +-------------+---------------------------------------------------------------- +POmean | + female | + 0 | -1.515822 .0060067 -252.36 0.000 -1.527595 -1.504049 +------------------------------------------------------------------------------ + +Iteration 0: EE criterion = 9.684e-16 +Iteration 1: EE criterion = 8.628e-28 + +Treatment-effects estimation Number of obs = 53,038 +Estimator : inverse-probability weights +Outcome model : weighted mean +Treatment model: probit +------------------------------------------------------------------------------ + | Robust + y | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- +ATE | + female | + (1 vs 0) | -.1050439 .0401988 -2.61 0.009 -.183832 -.0262557 +-------------+---------------------------------------------------------------- +POmean | + female | + 0 | -1.458219 .0054927 -265.48 0.000 -1.468984 -1.447453 +------------------------------------------------------------------------------ + + Source | SS df MS Number of obs = 100,000 +-------------+---------------------------------- F(1, 99998) = 115.72 + Model | 155.270531 1 155.270531 Prob > F = 0.0000 + Residual | 134179.437 99,998 1.3418212 R-squared = 0.0012 +-------------+---------------------------------- Adj R-squared = 0.0011 + Total | 134334.707 99,999 1.34336051 Root MSE = 1.1584 + +------------------------------------------------------------------------------ + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + female | .0988518 .0091894 10.76 0.000 .0808406 .1168629 + _cons | -1.501196 .0040908 -366.97 0.000 -1.509214 -1.493178 +------------------------------------------------------------------------------ + + Source | SS df MS Number of obs = 46,962 +-------------+---------------------------------- F(1, 46960) = 81.37 + Model | 107.755058 1 107.755058 Prob > F = 0.0000 + Residual | 62185.463 46,960 1.32422196 R-squared = 0.0017 +-------------+---------------------------------- Adj R-squared = 0.0017 + Total | 62293.2181 46,961 1.32648832 Root MSE = 1.1507 + +------------------------------------------------------------------------------ + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + female | -.1088381 .0120654 -9.02 0.000 -.1324866 -.0851897 + _cons | -1.487199 .0061843 -240.48 0.000 -1.499321 -1.475078 +------------------------------------------------------------------------------ + + Source | SS df MS Number of obs = 53,038 +-------------+---------------------------------- F(1, 53036) = 886.34 + Model | 1182.47024 1 1182.47024 Prob > F = 0.0000 + Residual | 70755.5305 53,036 1.33410383 R-squared = 0.0164 +-------------+---------------------------------- Adj R-squared = 0.0164 + Total | 71938.0008 53,037 1.35637387 Root MSE = 1.155 + +------------------------------------------------------------------------------ + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + female | .4290223 .0144105 29.77 0.000 .4007775 .457267 + _cons | -1.511833 .0054114 -279.38 0.000 -1.522439 -1.501226 +------------------------------------------------------------------------------ + +. +. +. +. +. set seed 1234567 + +. +. forvalues j = 1/4 { + 2. if `j'==1 { + 3. * BASELINE: Everything balanced +. local gamma2 = 0 // No preference for female D + 4. local gamma3 = 0 // No preference for female R + 5. local phi1_D = 0 // No relationship between gender and ideology + 6. local phi1_R = 0 + 7. local DataDescr`j' = "Baseline - Everything Balanced" + 8. } + 9. else if `j'==2 { + 10. * Variant 1: Women are more left-wing, no preference for female candidates +. local gamma2 = 0 // No preference for female D + 11. local gamma3 = 0 // No preference for female R + 12. local phi1_D = -1 // No relationship between gender and ideology + 13. local phi1_R = -1 + 14. local DataDescr`j' = "Variant 1 - Women are more left-wing, no preference for female candidates" + 15. } + 16. else if `j'==3 { + 17. * Variant 2: Women are more left-wing, equal preference for female candidates +. local gamma2 = 0.3 // No preference for female D + 18. local gamma3 = 0.3 // No preference for female R + 19. local phi1_D = -1 // No relationship between gender and ideology + 20. local phi1_R = -1 + 21. local DataDescr`j' = "Variant 2 - Women are more left-wing, equal preference for female candidates" + 22. } + 23. +. else if `j'==4 { + 24. * Variant 3: Women are more left-wing, only D's prefer female candidates +. local gamma2 = 0.6 // No preference for female D + 25. local gamma3 = 0 // No preference for female R + 26. local phi1_D = -1 // No relationship between gender and ideology + 27. local phi1_R = -1 + 28. local DataDescr`j' = "Variant 3 - Women are more left-wing, only Ds prefer female candidates" + 29. } + 30. +. simulate denstest_pval_all=r(denstest_pval_all) denstest_pval_D=r(denstest_pval_D) denstest_pval_R=r(denstest_pval_R) /* +> */ b_ideology_all=r(b_ideology_all) se_ideology_all=r(se_ideology_all) /* +> */ b_ideology_D=r(b_ideology_D) se_ideology_D=r(se_ideology_D) /* +> */ b_ideology_R=r(b_ideology_R) se_ideology_R=r(se_ideology_R) /* +> */ b_rd_all=r(b_rd_all) se_rd_all=r(se_rd_all) /* +> */ b_rd_D=r(b_rd_D) se_rd_D=r(se_rd_D) /* +> */ b_rd_R=r(b_rd_R) se_rd_R=r(se_rd_R) /* +> */ b_rdwt_all=r(b_rdwt_all) se_rdwt_all=r(se_rdwt_all) /* +> */ b_rdwt_D=r(b_rdwt_D) se_rdwt_D=r(se_rdwt_D) /* +> */ b_rdwt_R=r(b_rdwt_R) se_rdwt_R=r(se_rdwt_R) /* +> */ b_rdwtideodistrict_all=r(b_rdwtideodistrict_all) se_rdwtideodistrict_all=r(se_rdwtideodistrict_all) /* +> */ b_rdwtideodistrict_D=r(b_rdwtideodistrict_D) se_rdwtideodistrict_D=r(se_rdwtideodistrict_D) /* +> */ b_rdwtideodistrict_R=r(b_rdwtideodistrict_R) se_rdwtideodistrict_R=r(se_rdwtideodistrict_R) /* +> */ b_rdwtideoelected_all=r(b_rdwtideoelected_all) se_rdwtideoelected_all=r(se_rdwtideoelected_all) /* +> */ b_rdwtideoelected_D=r(b_rdwtideoelected_D) se_rdwtideoelected_D=r(se_rdwtideoelected_D) /* +> */ b_rdwtideoelected_R=r(b_rdwtideoelected_R) se_rdwtideoelected_R=r(se_rdwtideoelected_R) /* +> */ b_pscorex_all=r(b_pscorex_all) se_pscorex_all=r(se_pscorex_all) /* +> */ b_pscorex_D=r(b_pscorex_D) se_pscorex_D=r(se_pscorex_D) /* +> */ b_pscorex_R=r(b_pscorex_R) se_pscorex_R=r(se_pscorex_R) /* +> */ b_pscoreideodistrict_all=r(b_pscoreideodistrict_all) se_pscoreideodistrict_all=r(se_pscoreideodistrict_all) /* +> */ b_pscoreideodistrict_D=r(b_pscoreideodistrict_D) se_pscoreideodistrict_D=r(se_pscoreideodistrict_D) /* +> */ b_pscoreideodistrict_R=r(b_pscoreideodistrict_R) se_pscoreideodistrict_R=r(se_pscoreideodistrict_R) /* +> */ b_pscoreideoelected_all=r(b_pscoreideoelected_all) se_pscoreideoelected_all=r(se_pscoreideoelected_all) /* +> */ b_pscoreideoelected_D=r(b_pscoreideoelected_D) se_pscoreideoelected_D=r(se_pscoreideoelected_D) /* +> */ b_pscoreideoelected_R=r(b_pscoreideoelected_R) se_pscoreideoelected_R=r(se_pscoreideoelected_R) /* +> */ b_ols_all=r(b_ols_all) se_ols_all=r(se_ols_all) /* +> */ b_ols_D=r(b_ols_D) se_ols_D=r(se_ols_D) /* +> */ b_ols_R=r(b_ols_R) se_ols_R=r(se_ols_R) /* +> */ , reps(1000) saving("$AppendixC_simulations/rd_simulations`j'.dta", replace): /* +> */ rd_sim, beta_a(5) beta_b(5) kappa_ksi_R(0.4) kappa_ksi_D(0.4) kappa_u(1) tau1(-5) rho_x(0.6) nobs(10000) /* +> */ gamma2(`gamma2') gamma3(`gamma3') phi1_D(`phi1_D') phi1_R(`phi1_R') + 31. +. gen gamma2 = `gamma2' + 32. gen gamma3 = `gamma3' + 33. gen phi1_D = `phi1_D' + 34. gen phi1_R = `phi1_R' + 35. label data "`DataDescr`j''" + 36. save "$AppendixC_simulations/rd_simulations`j'.dta", replace + 37. +. foreach type in "rd" "rdwt" "rdwtideodistrict" "rdwtideoelected" "pscorex" "pscoreideodistrict" "pscoreideoelected" "ols" { + 38. di "" + 39. di "" + 40. di in ye "type = `type'" + 41. foreach party in "all" "D" "R" { + 42. gen byte hit_`type'_`party' = b_`type'_`party' - 1.96*se_`type'_`party'<=0 & /* +> */ b_`type'_`party' + 1.96*se_`type'_`party'>=0 + 43. } + 44. sum b_`type'_D se_`type'_D hit_`type'_D b_`type'_R se_`type'_R hit_`type'_R + 45. } + 46. } + + command: rd_sim, beta_a(5) beta_b(5) kappa_ksi_R(0.4) kappa_ksi_D(0.4) kappa_u(1) tau1(-5) rho_x(0.6) nobs(10000) gamma2(0) gamma3(0) phi1_D(0) phi1_R(0) +denstest_pval_~l: r(denstest_pval_all) + denstest_pval_D: r(denstest_pval_D) + denstest_pval_R: r(denstest_pval_R) + b_ideology_all: r(b_ideology_all) + se_ideology_all: r(se_ideology_all) + b_ideology_D: r(b_ideology_D) + se_ideology_D: r(se_ideology_D) + b_ideology_R: r(b_ideology_R) + se_ideology_R: r(se_ideology_R) + b_rd_all: r(b_rd_all) + se_rd_all: r(se_rd_all) + b_rd_D: r(b_rd_D) + se_rd_D: r(se_rd_D) + b_rd_R: r(b_rd_R) + se_rd_R: r(se_rd_R) + b_rdwt_all: r(b_rdwt_all) + se_rdwt_all: r(se_rdwt_all) + b_rdwt_D: r(b_rdwt_D) + se_rdwt_D: r(se_rdwt_D) + b_rdwt_R: r(b_rdwt_R) + se_rdwt_R: r(se_rdwt_R) +b_rdwtideodist~l: r(b_rdwtideodistrict_all) +se_rdwtideodis~l: r(se_rdwtideodistrict_all) +b_rdwtideodist~D: r(b_rdwtideodistrict_D) +se_rdwtideodis~D: r(se_rdwtideodistrict_D) +b_rdwtideodist~R: r(b_rdwtideodistrict_R) +se_rdwtideodis~R: r(se_rdwtideodistrict_R) +b_rdwtideoelec~l: r(b_rdwtideoelected_all) +se_rdwtideoele~l: r(se_rdwtideoelected_all) +b_rdwtideoelec~D: r(b_rdwtideoelected_D) +se_rdwtideoele~D: r(se_rdwtideoelected_D) +b_rdwtideoelec~R: r(b_rdwtideoelected_R) +se_rdwtideoele~R: r(se_rdwtideoelected_R) + b_pscorex_all: r(b_pscorex_all) + se_pscorex_all: r(se_pscorex_all) + b_pscorex_D: r(b_pscorex_D) + se_pscorex_D: r(se_pscorex_D) + b_pscorex_R: r(b_pscorex_R) + se_pscorex_R: r(se_pscorex_R) +b_pscoreideodi~l: r(b_pscoreideodistrict_all) +se_pscoreideod~l: r(se_pscoreideodistrict_all) +b_pscoreideodi~D: r(b_pscoreideodistrict_D) +se_pscoreideod~D: r(se_pscoreideodistrict_D) +b_pscoreideodi~R: r(b_pscoreideodistrict_R) +se_pscoreideod~R: r(se_pscoreideodistrict_R) +b_pscoreideoel~l: r(b_pscoreideoelected_all) +se_pscoreideoe~l: r(se_pscoreideoelected_all) +b_pscoreideoel~D: r(b_pscoreideoelected_D) +se_pscoreideoe~D: r(se_pscoreideoelected_D) +b_pscoreideoel~R: r(b_pscoreideoelected_R) +se_pscoreideoe~R: r(se_pscoreideoelected_R) + b_ols_all: r(b_ols_all) + se_ols_all: r(se_ols_all) + b_ols_D: r(b_ols_D) + se_ols_D: r(se_ols_D) + b_ols_R: r(b_ols_R) + se_ols_R: r(se_ols_R) + +Simulations (1000) +----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 +.................................................. 50 +.................................................. 100 +.................................................. 150 +.................................................. 200 +.................................................. 250 +.................................................. 300 +.................................................. 350 +.................................................. 400 +.................................................. 450 +.................................................. 500 +.................................................. 550 +.................................................. 600 +.................................................. 650 +.................................................. 700 +.................................................. 750 +.................................................. 800 +.................................................. 850 +.................................................. 900 +.................................................. 950 +.................................................. 1000 +file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/AppendixC_simulations_output/rd_simulations1.dta saved + + +type = rd + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + b_rd_D | 1,000 .000474 .2158104 -.7346113 .9701019 + se_rd_D | 1,000 .2066569 .0209705 .1547102 .2945822 + hit_rd_D | 1,000 .948 .2221381 0 1 + b_rd_R | 1,000 .0061781 .2194184 -.6579666 .882883 + se_rd_R | 1,000 .2077052 .0213403 .1590595 .2819441 +-------------+--------------------------------------------------------- + hit_rd_R | 1,000 .944 .2300368 0 1 + + +type = rdwt + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + b_rdwt_D | 1,000 .000563 .215728 -.760636 .9889148 + se_rdwt_D | 1,000 .2074663 .0194472 .1614645 .2764145 + hit_rdwt_D | 1,000 .952 .2138732 0 1 + b_rdwt_R | 1,000 .0063396 .218869 -.6742517 .8876668 + se_rdwt_R | 1,000 .2079266 .0202564 .1640088 .2907166 +-------------+--------------------------------------------------------- + hit_rdwt_R | 1,000 .949 .2201078 0 1 + + +type = rdwtideodistrict + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +b_rdwtid~t_D | 1,000 .0007777 .2130281 -.7609494 .9757128 +se_rdwti~t_D | 1,000 .2074916 .0194821 .1614185 .2770738 +hit_rdwtid~D | 1,000 .955 .2074079 0 1 +b_rdwtid~t_R | 1,000 .0070163 .2142945 -.7047111 .8283938 +se_rdwti~t_R | 1,000 .2079609 .0202332 .1639686 .2897356 +-------------+--------------------------------------------------------- +hit_rdwtid~R | 1,000 .95 .218054 0 1 + + +type = rdwtideoelected + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +b_rdwtid~d_D | 1,000 -.0000482 .2120022 -.7777959 .9878977 +se_rdwti~d_D | 1,000 .2075136 .0194996 .1613577 .2767253 +hit_rdwt~d_D | 1,000 .954 .2095899 0 1 +b_rdwtid~d_R | 1,000 .0071389 .211381 -.6772436 .8140548 +se_rdwti~d_R | 1,000 .2079869 .0202312 .1639532 .2900819 +-------------+--------------------------------------------------------- +hit_rdwt~d_R | 1,000 .95 .218054 0 1 + + +type = pscorex + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + b_pscorex_D | 1,000 .0016244 .0410007 -.1189567 .1347485 +se_pscorex_D | 1,000 .0417603 .0010802 .0389149 .0450724 +hit_pscore~D | 1,000 .964 .1863833 0 1 + b_pscorex_R | 1,000 .0001079 .0414081 -.1207875 .1166156 +se_pscorex_R | 1,000 .041873 .0010361 .0387544 .0453656 +-------------+--------------------------------------------------------- +hit_pscore~R | 1,000 .952 .2138732 0 1 + + +type = pscoreideodistrict + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +b_pscore~t_D | 1,000 .0011411 .0389529 -.1209979 .135818 +se_pscor~t_D | 1,000 .0394981 .0010252 .0365711 .0428945 +hit_psco~t_D | 1,000 .956 .2051977 0 1 +b_pscore~t_R | 1,000 -.0000255 .0389256 -.1365211 .1169339 +se_pscor~t_R | 1,000 .0396001 .0009805 .0368675 .0428658 +-------------+--------------------------------------------------------- +hit_psco~t_R | 1,000 .949 .2201078 0 1 + + +type = pscoreideoelected + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +b_pscore~d_D | 1,000 .0009746 .0382667 -.1189793 .1366088 +se_pscor~d_D | 1,000 .038707 .0010097 .0358897 .0423216 +hit_psco~d_D | 1,000 .959 .1983894 0 1 +b_pscore~d_R | 1,000 .0001725 .0384444 -.1271377 .1249728 +se_pscor~d_R | 1,000 .0387925 .0009651 .0358581 .0419615 +-------------+--------------------------------------------------------- +hit_psco~d_R | 1,000 .941 .2357426 0 1 + + +type = ols + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + b_ols_D | 1,000 .0016925 .0436147 -.1204213 .1329182 + se_ols_D | 1,000 .0444561 .0007614 .0424713 .0471137 + hit_ols_D | 1,000 .96 .1960572 0 1 + b_ols_R | 1,000 -.0000372 .0443401 -.1468209 .1455884 + se_ols_R | 1,000 .0445274 .0007684 .0422679 .047389 +-------------+--------------------------------------------------------- + hit_ols_R | 1,000 .948 .2221381 0 1 + + command: rd_sim, beta_a(5) beta_b(5) kappa_ksi_R(0.4) kappa_ksi_D(0.4) kappa_u(1) tau1(-5) rho_x(0.6) nobs(10000) gamma2(0) gamma3(0) phi1_D(-1) + phi1_R(-1) +denstest_pval_~l: r(denstest_pval_all) + denstest_pval_D: r(denstest_pval_D) + denstest_pval_R: r(denstest_pval_R) + b_ideology_all: r(b_ideology_all) + se_ideology_all: r(se_ideology_all) + b_ideology_D: r(b_ideology_D) + se_ideology_D: r(se_ideology_D) + b_ideology_R: r(b_ideology_R) + se_ideology_R: r(se_ideology_R) + b_rd_all: r(b_rd_all) + se_rd_all: r(se_rd_all) + b_rd_D: r(b_rd_D) + se_rd_D: r(se_rd_D) + b_rd_R: r(b_rd_R) + se_rd_R: r(se_rd_R) + b_rdwt_all: r(b_rdwt_all) + se_rdwt_all: r(se_rdwt_all) + b_rdwt_D: r(b_rdwt_D) + se_rdwt_D: r(se_rdwt_D) + b_rdwt_R: r(b_rdwt_R) + se_rdwt_R: r(se_rdwt_R) +b_rdwtideodist~l: r(b_rdwtideodistrict_all) +se_rdwtideodis~l: r(se_rdwtideodistrict_all) +b_rdwtideodist~D: r(b_rdwtideodistrict_D) +se_rdwtideodis~D: r(se_rdwtideodistrict_D) +b_rdwtideodist~R: r(b_rdwtideodistrict_R) +se_rdwtideodis~R: r(se_rdwtideodistrict_R) +b_rdwtideoelec~l: r(b_rdwtideoelected_all) +se_rdwtideoele~l: r(se_rdwtideoelected_all) +b_rdwtideoelec~D: r(b_rdwtideoelected_D) +se_rdwtideoele~D: r(se_rdwtideoelected_D) +b_rdwtideoelec~R: r(b_rdwtideoelected_R) +se_rdwtideoele~R: r(se_rdwtideoelected_R) + b_pscorex_all: r(b_pscorex_all) + se_pscorex_all: r(se_pscorex_all) + b_pscorex_D: r(b_pscorex_D) + se_pscorex_D: r(se_pscorex_D) + b_pscorex_R: r(b_pscorex_R) + se_pscorex_R: r(se_pscorex_R) +b_pscoreideodi~l: r(b_pscoreideodistrict_all) +se_pscoreideod~l: r(se_pscoreideodistrict_all) +b_pscoreideodi~D: r(b_pscoreideodistrict_D) +se_pscoreideod~D: r(se_pscoreideodistrict_D) +b_pscoreideodi~R: r(b_pscoreideodistrict_R) +se_pscoreideod~R: r(se_pscoreideodistrict_R) +b_pscoreideoel~l: r(b_pscoreideoelected_all) +se_pscoreideoe~l: r(se_pscoreideoelected_all) +b_pscoreideoel~D: r(b_pscoreideoelected_D) +se_pscoreideoe~D: r(se_pscoreideoelected_D) +b_pscoreideoel~R: r(b_pscoreideoelected_R) +se_pscoreideoe~R: r(se_pscoreideoelected_R) + b_ols_all: r(b_ols_all) + se_ols_all: r(se_ols_all) + b_ols_D: r(b_ols_D) + se_ols_D: r(se_ols_D) + b_ols_R: r(b_ols_R) + se_ols_R: r(se_ols_R) + +Simulations (1000) +----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 +.................................................. 50 +.................................................. 100 +.................................................. 150 +.................................................. 200 +.................................................. 250 +.................................................. 300 +.................................................. 350 +.................................................. 400 +.................................................. 450 +.................................................. 500 +.................................................. 550 +.................................................. 600 +.................................................. 650 +.................................................. 700 +.................................................. 750 +.................................................. 800 +.................................................. 850 +.................................................. 900 +.................................................. 950 +.................................................. 1000 +file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/AppendixC_simulations_output/rd_simulations2.dta saved + + +type = rd + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + b_rd_D | 1,000 .0012576 .2228617 -.7331437 1.009145 + se_rd_D | 1,000 .2176755 .0255152 .1618408 .3236289 + hit_rd_D | 1,000 .946 .2261308 0 1 + b_rd_R | 1,000 .0330576 .243948 -.7533619 .8312749 + se_rd_R | 1,000 .2278799 .0267695 .1654119 .3677094 +-------------+--------------------------------------------------------- + hit_rd_R | 1,000 .933 .2501471 0 1 + + +type = rdwt + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + b_rdwt_D | 1,000 .000469 .2242803 -.7151504 1.00985 + se_rdwt_D | 1,000 .1968521 .0196471 .1512845 .2650954 + hit_rdwt_D | 1,000 .922 .2683058 0 1 + b_rdwt_R | 1,000 .0330745 .2432499 -.7427425 .8059599 + se_rdwt_R | 1,000 .2059705 .020458 .1560483 .2731172 +-------------+--------------------------------------------------------- + hit_rdwt_R | 1,000 .902 .2974634 0 1 + + +type = rdwtideodistrict + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +b_rdwtid~t_D | 1,000 -.006175 .2212031 -.7455772 .9364876 +se_rdwti~t_D | 1,000 .196769 .0196699 .1512361 .2634379 +hit_rdwtid~D | 1,000 .93 .2552747 0 1 +b_rdwtid~t_R | 1,000 .028441 .2407647 -.8496327 .8543036 +se_rdwti~t_R | 1,000 .2060652 .0204876 .1575227 .2727789 +-------------+--------------------------------------------------------- +hit_rdwtid~R | 1,000 .91 .286325 0 1 + + +type = rdwtideoelected + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +b_rdwtid~d_D | 1,000 .0090432 .2212611 -.6531096 .982204 +se_rdwti~d_D | 1,000 .1969396 .0196544 .1515357 .2642587 +hit_rdwt~d_D | 1,000 .925 .2635231 0 1 +b_rdwtid~d_R | 1,000 .0109837 .2401174 -.8600007 .7876767 +se_rdwti~d_R | 1,000 .2062539 .0205667 .1576751 .2730821 +-------------+--------------------------------------------------------- +hit_rdwt~d_R | 1,000 .914 .2805043 0 1 + + +type = pscorex + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + b_pscorex_D | 1,000 -.0550926 .0353542 -.1679334 .0592917 +se_pscorex_D | 1,000 .034824 .0006266 .0327949 .0370951 +hit_pscore~D | 1,000 .632 .4825027 0 1 + b_pscorex_R | 1,000 .0663517 .0536153 -.1293039 .2506798 +se_pscorex_R | 1,000 .0543453 .0021536 .0482796 .0620071 +-------------+--------------------------------------------------------- +hit_pscore~R | 1,000 .774 .4184484 0 1 + + +type = pscoreideodistrict + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +b_pscore~t_D | 1,000 -.0138341 .0335508 -.1293545 .0784498 +se_pscor~t_D | 1,000 .0330559 .0006057 .0309695 .0349889 +hit_psco~t_D | 1,000 .926 .2619019 0 1 +b_pscore~t_R | 1,000 .0170442 .051773 -.1677895 .2020657 +se_pscor~t_R | 1,000 .0520056 .0021865 .0455246 .0609398 +-------------+--------------------------------------------------------- +hit_psco~t_R | 1,000 .938 .2412762 0 1 + + +type = pscoreideoelected + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +b_pscore~d_D | 1,000 .0006646 .0329737 -.1116275 .0922345 +se_pscor~d_D | 1,000 .0324259 .0006012 .0302777 .034353 +hit_psco~d_D | 1,000 .946 .2261308 0 1 +b_pscore~d_R | 1,000 .0002771 .050832 -.1800453 .1714571 +se_pscor~d_R | 1,000 .0511972 .0021817 .0452904 .0606324 +-------------+--------------------------------------------------------- +hit_psco~d_R | 1,000 .958 .2006895 0 1 + + +type = ols + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + b_ols_D | 1,000 -.1063805 .0375849 -.2240475 .0198816 + se_ols_D | 1,000 .0369016 .0005005 .0353002 .0384732 + hit_ols_D | 1,000 .186 .3893014 0 1 + b_ols_R | 1,000 .1257383 .0563577 -.0464704 .3107925 + se_ols_R | 1,000 .0573451 .0013656 .0529088 .0618195 +-------------+--------------------------------------------------------- + hit_ols_R | 1,000 .406 .4913302 0 1 + + command: rd_sim, beta_a(5) beta_b(5) kappa_ksi_R(0.4) kappa_ksi_D(0.4) kappa_u(1) tau1(-5) rho_x(0.6) nobs(10000) gamma2(.3) gamma3(.3) phi1_D(-1) + phi1_R(-1) +denstest_pval_~l: r(denstest_pval_all) + denstest_pval_D: r(denstest_pval_D) + denstest_pval_R: r(denstest_pval_R) + b_ideology_all: r(b_ideology_all) + se_ideology_all: r(se_ideology_all) + b_ideology_D: r(b_ideology_D) + se_ideology_D: r(se_ideology_D) + b_ideology_R: r(b_ideology_R) + se_ideology_R: r(se_ideology_R) + b_rd_all: r(b_rd_all) + se_rd_all: r(se_rd_all) + b_rd_D: r(b_rd_D) + se_rd_D: r(se_rd_D) + b_rd_R: r(b_rd_R) + se_rd_R: r(se_rd_R) + b_rdwt_all: r(b_rdwt_all) + se_rdwt_all: r(se_rdwt_all) + b_rdwt_D: r(b_rdwt_D) + se_rdwt_D: r(se_rdwt_D) + b_rdwt_R: r(b_rdwt_R) + se_rdwt_R: r(se_rdwt_R) +b_rdwtideodist~l: r(b_rdwtideodistrict_all) +se_rdwtideodis~l: r(se_rdwtideodistrict_all) +b_rdwtideodist~D: r(b_rdwtideodistrict_D) +se_rdwtideodis~D: r(se_rdwtideodistrict_D) +b_rdwtideodist~R: r(b_rdwtideodistrict_R) +se_rdwtideodis~R: r(se_rdwtideodistrict_R) +b_rdwtideoelec~l: r(b_rdwtideoelected_all) +se_rdwtideoele~l: r(se_rdwtideoelected_all) +b_rdwtideoelec~D: r(b_rdwtideoelected_D) +se_rdwtideoele~D: r(se_rdwtideoelected_D) +b_rdwtideoelec~R: r(b_rdwtideoelected_R) +se_rdwtideoele~R: r(se_rdwtideoelected_R) + b_pscorex_all: r(b_pscorex_all) + se_pscorex_all: r(se_pscorex_all) + b_pscorex_D: r(b_pscorex_D) + se_pscorex_D: r(se_pscorex_D) + b_pscorex_R: r(b_pscorex_R) + se_pscorex_R: r(se_pscorex_R) +b_pscoreideodi~l: r(b_pscoreideodistrict_all) +se_pscoreideod~l: r(se_pscoreideodistrict_all) +b_pscoreideodi~D: r(b_pscoreideodistrict_D) +se_pscoreideod~D: r(se_pscoreideodistrict_D) +b_pscoreideodi~R: r(b_pscoreideodistrict_R) +se_pscoreideod~R: r(se_pscoreideodistrict_R) +b_pscoreideoel~l: r(b_pscoreideoelected_all) +se_pscoreideoe~l: r(se_pscoreideoelected_all) +b_pscoreideoel~D: r(b_pscoreideoelected_D) +se_pscoreideoe~D: r(se_pscoreideoelected_D) +b_pscoreideoel~R: r(b_pscoreideoelected_R) +se_pscoreideoe~R: r(se_pscoreideoelected_R) + b_ols_all: r(b_ols_all) + se_ols_all: r(se_ols_all) + b_ols_D: r(b_ols_D) + se_ols_D: r(se_ols_D) + b_ols_R: r(b_ols_R) + se_ols_R: r(se_ols_R) + +Simulations (1000) +----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 +.................................................. 50 +.................................................. 100 +.................................................. 150 +.................................................. 200 +.................................................. 250 +.................................................. 300 +.................................................. 350 +.................................................. 400 +.................................................. 450 +.................................................. 500 +.................................................. 550 +.................................................. 600 +.................................................. 650 +.................................................. 700 +.................................................. 750 +.................................................. 800 +.................................................. 850 +.................................................. 900 +.................................................. 950 +.................................................. 1000 +file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/AppendixC_simulations_output/rd_simulations3.dta saved + + +type = rd + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + b_rd_D | 1,000 .491752 .2494523 -.3531313 1.51067 + se_rd_D | 1,000 .2283538 .0280412 .1690641 .3394082 + hit_rd_D | 1,000 .405 .4911377 0 1 + b_rd_R | 1,000 .5173595 .2292981 -.2692255 1.492157 + se_rd_R | 1,000 .2289896 .0260837 .1711041 .3486938 +-------------+--------------------------------------------------------- + hit_rd_R | 1,000 .375 .4843652 0 1 + + +type = rdwt + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + b_rdwt_D | 1,000 .4388141 .2610048 -.5014127 1.687006 + se_rdwt_D | 1,000 .2074678 .0232727 .1568016 .2954484 + hit_rdwt_D | 1,000 .437 .4962633 0 1 + b_rdwt_R | 1,000 .4646391 .2379002 -.2868821 1.428946 + se_rdwt_R | 1,000 .2171307 .0218101 .1686809 .3166831 +-------------+--------------------------------------------------------- + hit_rdwt_R | 1,000 .429 .495181 0 1 + + +type = rdwtideodistrict + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +b_rdwtid~t_D | 1,000 .0013756 .4101497 -2.066836 2.024154 +se_rdwti~t_D | 1,000 .203602 .0271368 .1319862 .3706861 +hit_rdwtid~D | 1,000 .705 .456271 0 1 +b_rdwtid~t_R | 1,000 .11661 .3633796 -1.787883 1.752881 +se_rdwti~t_R | 1,000 .230485 .025827 .1736978 .3815075 +-------------+--------------------------------------------------------- +hit_rdwtid~R | 1,000 .779 .4151281 0 1 + + +type = rdwtideoelected + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +b_rdwtid~d_D | 1,000 .0325854 .3558411 -1.752627 1.752868 +se_rdwti~d_D | 1,000 .2076113 .0264597 .1428789 .3456056 +hit_rdwt~d_D | 1,000 .78 .4144536 0 1 +b_rdwtid~d_R | 1,000 .0705305 .3363157 -1.379199 1.892265 +se_rdwti~d_R | 1,000 .2250768 .0251694 .1710656 .3803324 +-------------+--------------------------------------------------------- +hit_rdwt~d_R | 1,000 .82 .3843797 0 1 + + +type = pscorex + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + b_pscorex_D | 1,000 .1519819 .0346478 .0358244 .2736447 +se_pscorex_D | 1,000 .0338529 .0006006 .0321172 .0360062 +hit_pscore~D | 1,000 .007 .0834144 0 1 + b_pscorex_R | 1,000 .2756086 .0518065 .1026839 .4199368 +se_pscorex_R | 1,000 .0503297 .0018679 .0446273 .057132 +-------------+--------------------------------------------------------- +hit_pscore~R | 1,000 0 0 0 0 + + +type = pscoreideodistrict + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +b_pscore~t_D | 1,000 -.0714853 .0360254 -.1921055 .0466862 +se_pscor~t_D | 1,000 .0359764 .0015933 .0323575 .0454675 +hit_psco~t_D | 1,000 .487 .5000811 0 1 +b_pscore~t_R | 1,000 -.0686628 .0793611 -.3470891 .156843 +se_pscor~t_R | 1,000 .076294 .015689 .0545845 .1807837 +-------------+--------------------------------------------------------- +hit_psco~t_R | 1,000 .869 .3375692 0 1 + + +type = pscoreideoelected + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +b_pscore~d_D | 1,000 -.0001303 .032578 -.1045127 .108526 +se_pscor~d_D | 1,000 .0323971 .000756 .0304841 .0350485 +hit_psco~d_D | 1,000 .944 .2300368 0 1 +b_pscore~d_R | 1,000 -.0178836 .0604781 -.2088141 .1564328 +se_pscor~d_R | 1,000 .0605834 .0081455 .0476141 .1530132 +-------------+--------------------------------------------------------- +hit_psco~d_R | 1,000 .945 .2280943 0 1 + + +type = ols + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + b_ols_D | 1,000 .0217441 .035059 -.0793685 .1615416 + se_ols_D | 1,000 .0348545 .0004235 .0336369 .036255 + hit_ols_D | 1,000 .908 .2891706 0 1 + b_ols_R | 1,000 .2789744 .0533577 .1072924 .4430476 + se_ols_R | 1,000 .0517018 .0010793 .0486151 .0550177 +-------------+--------------------------------------------------------- + hit_ols_R | 1,000 0 0 0 0 + + command: rd_sim, beta_a(5) beta_b(5) kappa_ksi_R(0.4) kappa_ksi_D(0.4) kappa_u(1) tau1(-5) rho_x(0.6) nobs(10000) gamma2(.6) gamma3(0) phi1_D(-1) + phi1_R(-1) +denstest_pval_~l: r(denstest_pval_all) + denstest_pval_D: r(denstest_pval_D) + denstest_pval_R: r(denstest_pval_R) + b_ideology_all: r(b_ideology_all) + se_ideology_all: r(se_ideology_all) + b_ideology_D: r(b_ideology_D) + se_ideology_D: r(se_ideology_D) + b_ideology_R: r(b_ideology_R) + se_ideology_R: r(se_ideology_R) + b_rd_all: r(b_rd_all) + se_rd_all: r(se_rd_all) + b_rd_D: r(b_rd_D) + se_rd_D: r(se_rd_D) + b_rd_R: r(b_rd_R) + se_rd_R: r(se_rd_R) + b_rdwt_all: r(b_rdwt_all) + se_rdwt_all: r(se_rdwt_all) + b_rdwt_D: r(b_rdwt_D) + se_rdwt_D: r(se_rdwt_D) + b_rdwt_R: r(b_rdwt_R) + se_rdwt_R: r(se_rdwt_R) +b_rdwtideodist~l: r(b_rdwtideodistrict_all) +se_rdwtideodis~l: r(se_rdwtideodistrict_all) +b_rdwtideodist~D: r(b_rdwtideodistrict_D) +se_rdwtideodis~D: r(se_rdwtideodistrict_D) +b_rdwtideodist~R: r(b_rdwtideodistrict_R) +se_rdwtideodis~R: r(se_rdwtideodistrict_R) +b_rdwtideoelec~l: r(b_rdwtideoelected_all) +se_rdwtideoele~l: r(se_rdwtideoelected_all) +b_rdwtideoelec~D: r(b_rdwtideoelected_D) +se_rdwtideoele~D: r(se_rdwtideoelected_D) +b_rdwtideoelec~R: r(b_rdwtideoelected_R) +se_rdwtideoele~R: r(se_rdwtideoelected_R) + b_pscorex_all: r(b_pscorex_all) + se_pscorex_all: r(se_pscorex_all) + b_pscorex_D: r(b_pscorex_D) + se_pscorex_D: r(se_pscorex_D) + b_pscorex_R: r(b_pscorex_R) + se_pscorex_R: r(se_pscorex_R) +b_pscoreideodi~l: r(b_pscoreideodistrict_all) +se_pscoreideod~l: r(se_pscoreideodistrict_all) +b_pscoreideodi~D: r(b_pscoreideodistrict_D) +se_pscoreideod~D: r(se_pscoreideodistrict_D) +b_pscoreideodi~R: r(b_pscoreideodistrict_R) +se_pscoreideod~R: r(se_pscoreideodistrict_R) +b_pscoreideoel~l: r(b_pscoreideoelected_all) +se_pscoreideoe~l: r(se_pscoreideoelected_all) +b_pscoreideoel~D: r(b_pscoreideoelected_D) +se_pscoreideoe~D: r(se_pscoreideoelected_D) +b_pscoreideoel~R: r(b_pscoreideoelected_R) +se_pscoreideoe~R: r(se_pscoreideoelected_R) + b_ols_all: r(b_ols_all) + se_ols_all: r(se_ols_all) + b_ols_D: r(b_ols_D) + se_ols_D: r(se_ols_D) + b_ols_R: r(b_ols_R) + se_ols_R: r(se_ols_R) + +Simulations (1000) +----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 +.................................................. 50 +.................................................. 100 +.................................................. 150 +.................................................. 200 +.................................................. 250 +.................................................. 300 +.................................................. 350 +.................................................. 400 +.................................................. 450 +.................................................. 500 +.................................................. 550 +.................................................. 600 +.................................................. 650 +.................................................. 700 +.................................................. 750 +.................................................. 800 +.................................................. 850 +.................................................. 900 +.................................................. 950 +.................................................. 1000 +file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/AppendixC_simulations_output/rd_simulations4.dta saved + + +type = rd + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + b_rd_D | 1,000 .4820324 .2371305 -.3588133 1.248664 + se_rd_D | 1,000 .2197392 .0262706 .1618011 .3616504 + hit_rd_D | 1,000 .389 .4877673 0 1 + b_rd_R | 1,000 .5221546 .2740097 -.7637966 1.467739 + se_rd_R | 1,000 .257724 .0312845 .1895249 .435447 +-------------+--------------------------------------------------------- + hit_rd_R | 1,000 .457 .4983968 0 1 + + +type = rdwt + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + b_rdwt_D | 1,000 .430918 .2455162 -.6153042 1.289431 + se_rdwt_D | 1,000 .2067505 .0224016 .1520135 .3382523 + hit_rdwt_D | 1,000 .445 .4972145 0 1 + b_rdwt_R | 1,000 .4733341 .2820927 -.7657607 1.432925 + se_rdwt_R | 1,000 .2504693 .0251529 .1840224 .3487194 +-------------+--------------------------------------------------------- + hit_rdwt_R | 1,000 .497 .5002412 0 1 + + +type = rdwtideodistrict + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +b_rdwtid~t_D | 1,000 .0175561 .3773986 -1.54672 1.429458 +se_rdwti~t_D | 1,000 .2034587 .0255179 .151171 .3283263 +hit_rdwtid~D | 1,000 .723 .4477404 0 1 +b_rdwtid~t_R | 1,000 .1003379 .3997651 -1.323882 1.491106 +se_rdwti~t_R | 1,000 .2610874 .0296607 .1934556 .382313 +-------------+--------------------------------------------------------- +hit_rdwtid~R | 1,000 .798 .4016931 0 1 + + +type = rdwtideoelected + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +b_rdwtid~d_D | 1,000 .0435866 .3157486 -1.321281 1.114188 +se_rdwti~d_D | 1,000 .2070375 .0249135 .1524316 .3418367 +hit_rdwt~d_D | 1,000 .819 .3852108 0 1 +b_rdwtid~d_R | 1,000 .0720104 .3748857 -1.244581 1.60306 +se_rdwti~d_R | 1,000 .257405 .0284439 .1913853 .3689896 +-------------+--------------------------------------------------------- +hit_rdwt~d_R | 1,000 .819 .3852108 0 1 + + +type = pscorex + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + b_pscorex_D | 1,000 .3748557 .0352603 .2518727 .5018864 +se_pscorex_D | 1,000 .0347588 .001049 .0321233 .0393144 +hit_pscore~D | 1,000 0 0 0 0 + b_pscorex_R | 1,000 .0688194 .0572938 -.0997917 .2288021 +se_pscorex_R | 1,000 .0579885 .0024276 .0505837 .0686423 +-------------+--------------------------------------------------------- +hit_pscore~R | 1,000 .792 .4060799 0 1 + + +type = pscoreideodistrict + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +b_pscore~t_D | 1,000 -.0609244 .0622255 -.466482 .1154791 +se_pscor~t_D | 1,000 .0582026 .0183329 .0385205 .3128201 +hit_psco~t_D | 1,000 .802 .3986916 0 1 +b_pscore~t_R | 1,000 .0148012 .0548574 -.134412 .1764981 +se_pscor~t_R | 1,000 .0553551 .0025051 .0480639 .0661574 +-------------+--------------------------------------------------------- +hit_psco~t_R | 1,000 .942 .2338604 0 1 + + +type = pscoreideoelected + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +b_pscore~d_D | 1,000 .0200114 .0447027 -.1660888 .141097 +se_pscor~d_D | 1,000 .0436844 .0076024 .0329284 .119063 +hit_psco~d_D | 1,000 .911 .2848862 0 1 +b_pscore~d_R | 1,000 -.0019193 .0540542 -.1474438 .1564901 +se_pscor~d_R | 1,000 .0544823 .0025367 .0468632 .0659097 +-------------+--------------------------------------------------------- +hit_psco~d_R | 1,000 .951 .215976 0 1 + + +type = ols + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + b_ols_D | 1,000 .1312602 .0340315 .0222765 .2691881 + se_ols_D | 1,000 .0330522 .0003831 .0318416 .0342806 + hit_ols_D | 1,000 .024 .1531256 0 1 + b_ols_R | 1,000 .1232987 .0598521 -.0781653 .3008979 + se_ols_R | 1,000 .0610299 .0015038 .0564883 .0665193 +-------------+--------------------------------------------------------- + hit_ols_R | 1,000 .477 .4997206 0 1 + +. +. +. +. ******************************************************************************** +. ******************************************************************************** +. ******************************************************************************** +. +. * From here on, display results +. clear + +. +. foreach j of numlist 1 2 4 { + 2. if `j'<=2 { + 3. local jtex = `j' + 4. } + 5. else if `j'==4 { + 6. local jtex = `j'-1 + 7. } + 8. use "$AppendixC_simulations/rd_simulations`j'.dta", clear + 9. foreach type in "ideology" "rd" "rdwt" "rdwtideodistrict" "rdwtideoelected" "pscorex" "pscoreideodistrict" "pscoreideoelected" "ols" { + 10. di "" + 11. di "" + 12. di in ye "type = `type'" + 13. foreach party in "all" "D" "R" { + 14. gen byte rejrate_`type'_`party' = b_`type'_`party' - 1.96*se_`type'_`party'>0 | /* +> */ b_`type'_`party' + 1.96*se_`type'_`party'<0 + 15. } + 16. } + 17. foreach party in "all" "D" "R" { + 18. gen denstest_reject_`party' = denstest_pval_`party'<0.05 + 19. } + 20. +. foreach esttype in "ideology" "rd" "rdwt" "rdwtideodistrict" "rdwtideoelected" "pscorex" "pscoreideodistrict" "pscoreideoelected" "ols"{ + 21. ren b_`esttype'_all `esttype'1 + 22. ren rejrate_`esttype'_all `esttype'2 + 23. ren b_`esttype'_D `esttype'3 + 24. ren rejrate_`esttype'_D `esttype'4 + 25. ren b_`esttype'_R `esttype'5 + 26. ren rejrate_`esttype'_R `esttype'6 + 27. } + 28. +. ren denstest_pval_all denstest1 + 29. ren denstest_reject_all denstest2 + 30. ren denstest_pval_D denstest3 + 31. ren denstest_reject_D denstest4 + 32. ren denstest_pval_R denstest5 + 33. ren denstest_reject_R denstest6 + 34. +. gen iterno=_n + 35. drop se_* + 36. reshape long denstest ideology rd rdwt rdwtideodistrict rdwtideoelected pscorex pscoreideodistrict pscoreideoelected ols, i(iterno) j(stype) + 37. label def stype 1 "All - estimate" 2 "All - Rej.Rate" 3 "D - estimate" 4 "D - Rej.Rate" 5 "R - estimate" 6 "R - Rej.Rate" + 38. label value stype stype + 39. +. label var denstest "Density test (p-value)" + 40. label var ideology "Discontinuity in ideology" + 41. label var rd "RD - simple" + 42. label var rdwt "P-score weighted RD - x" + 43. label var rdwtideodistrict "P-score weighted RD - district ideology" + 44. label var rdwtideoelected "P-score weighted RD - ideology of elected representative" + 45. label var pscorex "P-score weighted, x" + 46. label var pscoreideodistrict "P-score weighted, district ideology" + 47. label var pscoreideoelected "P-score weighted, ideology of elected representative" + 48. label var ols "OLS" + 49. +. estpost tabstat denstest ideology rd rdwt rdwtideodistrict rdwtideoelected /* +> */ pscorex pscoreideodistrict pscoreideoelected ols, by(stype) column(statistics) nototal + 50. esttab using "$AppendixC_simulations/results_AppendixTableC`jtex'.tex", main(mean %6.3f) unstack tex replace noobs nomtitles nonumbers nonotes label + 51. } +(Baseline - Everything Balanced) + + +type = ideology + + +type = rd + + +type = rdwt + + +type = rdwtideodistrict + + +type = rdwtideoelected + + +type = pscorex + + +type = pscoreideodistrict + + +type = pscoreideoelected + + +type = ols +(note: j = 1 2 3 4 5 6) + +Data wide -> long +----------------------------------------------------------------------------- +Number of obs. 1000 -> 6000 +Number of variables 65 -> 16 +j variable (6 values) -> stype +xij variables: + denstest1 denstest2 ... denstest6 -> denstest + ideology1 ideology2 ... ideology6 -> ideology + rd1 rd2 ... rd6 -> rd + rdwt1 rdwt2 ... rdwt6 -> rdwt +rdwtideodistrict1 rdwtideodistrict2 ... rdwtideodistrict6->rdwtideodistrict +rdwtideoelected1 rdwtideoelected2 ... rdwtideoelected6->rdwtideoelected + pscorex1 pscorex2 ... pscorex6 -> pscorex +pscoreideodistrict1 pscoreideodistrict2 ... pscoreideodistrict6->pscoreideodistrict +pscoreideoelected1 pscoreideoelected2 ... pscoreideoelected6->pscoreideoelected + ols1 ols2 ... ols6 -> ols +----------------------------------------------------------------------------- + +Summary statistics: mean + for variables: denstest ideology rd rdwt rdwtideodistrict rdwtideoelected pscorex pscoreideodistrict pscoreideoelected ols + by categories of: stype + + stype | e(mean) +-------------+----------- +1 | + denstest | .5455671 + ideology | .0001327 + rd | .0024096 + rdwt | .0026502 +rdwtideodi~t | .0025334 +rdwtideoel~d | .0024999 + pscorex | .0009188 +pscoreideo~t | .0009269 +pscoreideo~d | .000916 + ols | .0008537 +-------------+----------- +2 | + denstest | .031 + ideology | .055 + rd | .059 + rdwt | .056 +rdwtideodi~t | .054 +rdwtideoel~d | .059 + pscorex | .053 +pscoreideo~t | .052 +pscoreideo~d | .053 + ols | .046 +-------------+----------- +3 | + denstest | .5292896 + ideology | -.0008158 + rd | .000474 + rdwt | .000563 +rdwtideodi~t | .0007777 +rdwtideoel~d | -.0000482 + pscorex | .0016244 +pscoreideo~t | .0011411 +pscoreideo~d | .0009746 + ols | .0016925 +-------------+----------- +4 | + denstest | .031 + ideology | .057 + rd | .052 + rdwt | .048 +rdwtideodi~t | .045 +rdwtideoel~d | .046 + pscorex | .036 +pscoreideo~t | .044 +pscoreideo~d | .041 + ols | .04 +-------------+----------- +5 | + denstest | .5135349 + ideology | .0007091 + rd | .0061781 + rdwt | .0063396 +rdwtideodi~t | .0070163 +rdwtideoel~d | .0071389 + pscorex | .0001079 +pscoreideo~t | -.0000255 +pscoreideo~d | .0001725 + ols | -.0000372 +-------------+----------- +6 | + denstest | .032 + ideology | .059 + rd | .056 + rdwt | .051 +rdwtideodi~t | .05 +rdwtideoel~d | .05 + pscorex | .048 +pscoreideo~t | .051 +pscoreideo~d | .059 + ols | .052 + +category labels saved in macro e(labels) +(output written to /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/AppendixC_simulations_output/results_AppendixTableC +> 1.tex) +(Variant 1 - Women are more left-wing, no preference for female candidates) + + +type = ideology + + +type = rd + + +type = rdwt + + +type = rdwtideodistrict + + +type = rdwtideoelected + + +type = pscorex + + +type = pscoreideodistrict + + +type = pscoreideoelected + + +type = ols +(note: j = 1 2 3 4 5 6) + +Data wide -> long +----------------------------------------------------------------------------- +Number of obs. 1000 -> 6000 +Number of variables 65 -> 16 +j variable (6 values) -> stype +xij variables: + denstest1 denstest2 ... denstest6 -> denstest + ideology1 ideology2 ... ideology6 -> ideology + rd1 rd2 ... rd6 -> rd + rdwt1 rdwt2 ... rdwt6 -> rdwt +rdwtideodistrict1 rdwtideodistrict2 ... rdwtideodistrict6->rdwtideodistrict +rdwtideoelected1 rdwtideoelected2 ... rdwtideoelected6->rdwtideoelected + pscorex1 pscorex2 ... pscorex6 -> pscorex +pscoreideodistrict1 pscoreideodistrict2 ... pscoreideodistrict6->pscoreideodistrict +pscoreideoelected1 pscoreideoelected2 ... pscoreideoelected6->pscoreideoelected + ols1 ols2 ... ols6 -> ols +----------------------------------------------------------------------------- + +Summary statistics: mean + for variables: denstest ideology rd rdwt rdwtideodistrict rdwtideoelected pscorex pscoreideodistrict pscoreideoelected ols + by categories of: stype + + stype | e(mean) +-------------+----------- +1 | + denstest | .526024 + ideology | -.0004892 + rd | -.0180679 + rdwt | -.0177774 +rdwtideodi~t | -.0186809 +rdwtideoel~d | .0115203 + pscorex | .0054515 +pscoreideo~t | -.0098912 +pscoreideo~d | .0004067 + ols | -.0367354 +-------------+----------- +2 | + denstest | .033 + ideology | .052 + rd | .051 + rdwt | .049 +rdwtideodi~t | .048 +rdwtideoel~d | .082 + pscorex | .053 +pscoreideo~t | .069 +pscoreideo~d | .05 + ols | .228 +-------------+----------- +3 | + denstest | .0253585 + ideology | .0030011 + rd | .0012576 + rdwt | .000469 +rdwtideodi~t | -.006175 +rdwtideoel~d | .0090432 + pscorex | -.0550926 +pscoreideo~t | -.0138341 +pscoreideo~d | .0006646 + ols | -.1063805 +-------------+----------- +4 | + denstest | .889 + ideology | .07 + rd | .054 + rdwt | .078 +rdwtideodi~t | .07 +rdwtideoel~d | .075 + pscorex | .368 +pscoreideo~t | .074 +pscoreideo~d | .054 + ols | .814 +-------------+----------- +5 | + denstest | .0245342 + ideology | -.0022047 + rd | .0330576 + rdwt | .0330745 +rdwtideodi~t | .028441 +rdwtideoel~d | .0109837 + pscorex | .0663517 +pscoreideo~t | .0170442 +pscoreideo~d | .0002771 + ols | .1257383 +-------------+----------- +6 | + denstest | .901 + ideology | .058 + rd | .067 + rdwt | .098 +rdwtideodi~t | .09 +rdwtideoel~d | .086 + pscorex | .226 +pscoreideo~t | .062 +pscoreideo~d | .042 + ols | .594 + +category labels saved in macro e(labels) +(output written to /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/AppendixC_simulations_output/results_AppendixTableC +> 2.tex) +(Variant 3 - Women are more left-wing, only Ds prefer female candidates) + + +type = ideology + + +type = rd + + +type = rdwt + + +type = rdwtideodistrict + + +type = rdwtideoelected + + +type = pscorex + + +type = pscoreideodistrict + + +type = pscoreideoelected + + +type = ols +(note: j = 1 2 3 4 5 6) + +Data wide -> long +----------------------------------------------------------------------------- +Number of obs. 1000 -> 6000 +Number of variables 65 -> 16 +j variable (6 values) -> stype +xij variables: + denstest1 denstest2 ... denstest6 -> denstest + ideology1 ideology2 ... ideology6 -> ideology + rd1 rd2 ... rd6 -> rd + rdwt1 rdwt2 ... rdwt6 -> rdwt +rdwtideodistrict1 rdwtideodistrict2 ... rdwtideodistrict6->rdwtideodistrict +rdwtideoelected1 rdwtideoelected2 ... rdwtideoelected6->rdwtideoelected + pscorex1 pscorex2 ... pscorex6 -> pscorex +pscoreideodistrict1 pscoreideodistrict2 ... pscoreideodistrict6->pscoreideodistrict +pscoreideoelected1 pscoreideoelected2 ... pscoreideoelected6->pscoreideoelected + ols1 ols2 ... ols6 -> ols +----------------------------------------------------------------------------- + +Summary statistics: mean + for variables: denstest ideology rd rdwt rdwtideodistrict rdwtideoelected pscorex pscoreideodistrict pscoreideoelected ols + by categories of: stype + + stype | e(mean) +-------------+----------- +1 | + denstest | .516915 + ideology | .000854 + rd | .6216279 + rdwt | .6209797 +rdwtideodi~t | .620556 +rdwtideoel~d | .5385951 + pscorex | .3820008 +pscoreideo~t | .3955427 +pscoreideo~d | .3258178 + ols | .1589017 +-------------+----------- +2 | + denstest | .047 + ideology | .052 + rd | .961 + rdwt | .961 +rdwtideodi~t | .958 +rdwtideoel~d | .897 + pscorex | 1 +pscoreideo~t | 1 +pscoreideo~d | 1 + ols | 1 +-------------+----------- +3 | + denstest | .2114761 + ideology | .2113024 + rd | .4820324 + rdwt | .430918 +rdwtideodi~t | .0175561 +rdwtideoel~d | .0435866 + pscorex | .3748557 +pscoreideo~t | -.0609244 +pscoreideo~d | .0200114 + ols | .1312602 +-------------+----------- +4 | + denstest | .359 + ideology | 1 + rd | .611 + rdwt | .555 +rdwtideodi~t | .277 +rdwtideoel~d | .181 + pscorex | 1 +pscoreideo~t | .198 +pscoreideo~d | .089 + ols | .976 +-------------+----------- +5 | + denstest | .1600951 + ideology | -.209657 + rd | .5221546 + rdwt | .4733341 +rdwtideodi~t | .1003379 +rdwtideoel~d | .0720104 + pscorex | .0688194 +pscoreideo~t | .0148012 +pscoreideo~d | -.0019193 + ols | .1232987 +-------------+----------- +6 | + denstest | .434 + ideology | 1 + rd | .543 + rdwt | .503 +rdwtideodi~t | .202 +rdwtideoel~d | .181 + pscorex | .208 +pscoreideo~t | .058 +pscoreideo~d | .049 + ols | .523 + +category labels saved in macro e(labels) +(output written to /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/AppendixC_simulations_output/results_AppendixTableC +> 3.tex) + +. +. +end of do-file +. +. +. +. program error: matching close brace not found +r(198); + +end of do-file + +r(198); +. exit, clear diff --git a/30/replication_package/Log/AppendixC_simulations_May2021 (Daniele Paserman's conflicted copy 2021-05-07).log b/30/replication_package/Log/AppendixC_simulations_May2021 (Daniele Paserman's conflicted copy 2021-05-07).log new file mode 100644 index 0000000000000000000000000000000000000000..8d9ecc99b1bfc53960480e646f06b6266f1c8d7c --- /dev/null +++ b/30/replication_package/Log/AppendixC_simulations_May2021 (Daniele Paserman's conflicted copy 2021-05-07).log @@ -0,0 +1,1173 @@ +--------------------------------------------------------------------------------------------------------------------------------- + name: + log: C:/Users/paserman/Dropbox/Research/GenderCooperativeness/EJ/3 replication package/Log/AppendixC_simulations_May2021. +> log + log type: text + opened on: 6 May 2021, 19:40:21 + +. +. +. cap prog drop rd_sim + +. prog def rd_sim, rclass + 1. version 15.1 + 2. syntax [, nobs(integer 10000) beta_a(real 1.0) beta_b(real 1.0) rho_x(real 0.7) /* +> */ zbar_R(real 0.5) zbar_D(real -0.5) /* +> */ alpha_R(real 0.5) alpha_D(real 0.5) /* +> */ kappa_ksi_R(real 0.0) beta_ksi_R(real 10.0) kappa_ksi_D(real 0.0) beta_ksi_D(real 10.0) /* +> */ phi0_R(real -1.0) phi1_R(real -1.0) phi0_D(real -1.0) phi1_D(real -1.0) /* +> */ kappa_u(real 0.0) beta_u(real 1.0) /* +> */ gamma0(real 0.0) gamma1(real -5.0) gamma2(real 0.0) gamma3(real 0.0)/* +> */ tau0(real 0.3) tau1(real -1.0) tau2(real 0.0)] + 3. drop _all + 4. set obs `nobs' + 5. +. * Overall district ideology +. gen z = 2*(rbeta(`beta_a',`beta_b')-0.5) + 6. gen x = z + (sqrt((1-`rho_x'^2)/`rho_x'^2))*(2*(rbeta(`beta_a',`beta_b')-0.5)) + 7. +. * Ideology of R and candidates: weighted average of national party and local ideology, plus noise +. gen z_R = `alpha_R'*`zbar_R' + (1-`alpha_R')*z + `kappa_ksi_R'*(rbeta(`beta_ksi_R',`beta_ksi_R')-0.5) + 8. gen z_D = `alpha_D'*`zbar_D' + (1-`alpha_D')*z + `kappa_ksi_D'*(rbeta(`beta_ksi_D',`beta_ksi_D')-0.5) + 9. +. * Gender is correlated with candidate ideology +. gen byte female_D = rnormal(`phi0_D' + `phi1_D'*z_D)>0 + 10. gen byte female_R = rnormal(`phi0_R' + `phi1_R'*z_R)>0 + 11. +. * Voteshare depends on ideology of the candidates plus noise +. gen u = `kappa_u'*(rbeta(`beta_u', `beta_u')-0.5) + 12. gen voteshare_D = (exp(`gamma0' + `gamma1'*(z - (z_D+z_R)/2) + `gamma2'*female_D - `gamma3'*female_R + u)/ /* +> */ (1+ exp(`gamma0' + `gamma1'*(z - (z_D+z_R)/2) + `gamma2'*female_D - `gamma3'*female_R + u ))) + 13. +. gen voteshare_female = voteshare_D if female_D==1 & female_R==0 + 14. replace voteshare_female = (1-voteshare_D) if female_D==0 & female_R==1 + 15. +. * Outcome: depends on who is elected +. gen y = `tau0' + `tau1'*abs(z_D) + `tau2'*female_D + rnormal() if voteshare_D>=0.5 + 16. replace y = `tau0' + `tau1'*abs(z_R) +`tau2'*female_R + rnormal() if voteshare_D<0.5 + 17. +. * Now four types of RD analyses +. * (1) Density test +. rddensity voteshare_female, c(0.5) + 18. local denstest_pval_all = e(pv_q) + 19. +. rddensity voteshare_female if voteshare_D>=0.5, c(0.5) + 20. local denstest_pval_D = e(pv_q) + 21. +. rddensity voteshare_female if voteshare_D<0.5, c(0.5) + 22. local denstest_pval_R = e(pv_q) + 23. +. * (2) is ideology continuous at the threshold +. rdrobust z voteshare_female, c(0.5) kernel(uniform) + 24. mat b = e(b) + 25. mat V = e(V) + 26. local b_ideology_all = b[1,1] + 27. local se_ideology_all = sqrt(V[1,1]) + 28. +. rdrobust z voteshare_female if voteshare_D>=0.5, c(0.5) kernel(uniform) + 29. mat b = e(b) + 30. mat V = e(V) + 31. local b_ideology_D = b[1,1] + 32. local se_ideology_D = sqrt(V[1,1]) + 33. +. rdrobust z voteshare_female if voteshare_D<0.5, c(0.5) kernel(uniform) + 34. mat b = e(b) + 35. mat V = e(V) + 36. local b_ideology_R = b[1,1] + 37. local se_ideology_R = sqrt(V[1,1]) + 38. +. * (3) Estimate treatment effect with simple RD +. rdrobust y voteshare_female, c(0.5) kernel(uniform) + 39. mat b = e(b) + 40. mat V = e(V) + 41. local b_rd_all = b[1,1] + 42. local se_rd_all = sqrt(V[1,1]) + 43. local band_all = e(h_l) + 44. +. rdrobust y voteshare_female if voteshare_D>=0.5, c(0.5) kernel(uniform) + 45. mat b = e(b) + 46. mat V = e(V) + 47. local b_rd_D = b[1,1] + 48. local se_rd_D = sqrt(V[1,1]) + 49. local band_D = e(h_l) + 50. +. rdrobust y voteshare_female if voteshare_D<0.5, c(0.5) kernel(uniform) + 51. mat b = e(b) + 52. mat V = e(V) + 53. local b_rd_R = b[1,1] + 54. local se_rd_R = sqrt(V[1,1]) + 55. local band_R = e(h_l) + 56. +. * (4-5) Estimate the treatment effect with weighted RD +. gen byte female = female_D if voteshare_D>=0.5 + 57. replace female = female_R if voteshare_D<0.5 + 58. gen voteshare_female_adj = voteshare_female-0.5 + 59. +. * (4) using x +. probit female x if abs(voteshare_female_adj)<=`band_all' + 60. predict pscore if e(sample)==1 + 61. gen wt =1/pscore if female==1 + 62. replace wt = 1/(1-pscore) if female==0 + 63. reg y female voteshare_female_adj i.female#c.voteshare_female_adj [aw=wt] if abs(voteshare_female_adj)<=`band_all' + 64. local b_rdwt_all = _b[female] + 65. local se_rdwt_all = _se[female] + 66. drop pscore wt + 67. +. probit female x if voteshare_D>=0.5 & abs(voteshare_female_adj)<=`band_D' + 68. predict pscore if e(sample)==1 + 69. gen wt =1/pscore if female==1 + 70. replace wt = 1/(1-pscore) if female==0 + 71. reg y female voteshare_female_adj i.female#c.voteshare_female_adj [aw=wt] if voteshare_D>=0.5 & abs(voteshare_female_adj +> )<=`band_D' + 72. local b_rdwt_D = _b[female] + 73. local se_rdwt_D = _se[female] + 74. drop pscore wt + 75. +. probit female x if voteshare_D<0.5 & abs(voteshare_female_adj)<=`band_R' + 76. predict pscore if e(sample)==1 + 77. gen wt =1/pscore if female==1 + 78. replace wt = 1/(1-pscore) if female==0 + 79. reg y female voteshare_female_adj i.female#c.voteshare_female_adj [aw=wt] if voteshare_D<0.5 & abs(voteshare_female_adj) +> <=`band_R' + 80. local b_rdwt_R = _b[female] + 81. local se_rdwt_R = _se[female] + 82. drop pscore wt + 83. +. +. +. * (5a) using ideology of the district +. probit female z if abs(voteshare_female_adj)<=`band_all' + 84. predict pscore if e(sample)==1 + 85. gen wt =1/pscore if female==1 + 86. replace wt = 1/(1-pscore) if female==0 + 87. reg y female voteshare_female_adj i.female#c.voteshare_female_adj [aw=wt] if abs(voteshare_female_adj)<=`band_all' + 88. local b_rdwtideodistrict_all = _b[female] + 89. local se_rdwtideodistrict_all = _se[female] + 90. drop pscore wt + 91. +. probit female z if voteshare_D>=0.5 & abs(voteshare_female_adj)<=`band_D' + 92. predict pscore if e(sample)==1 + 93. gen wt =1/pscore if female==1 + 94. replace wt = 1/(1-pscore) if female==0 + 95. reg y female voteshare_female_adj i.female#c.voteshare_female_adj [aw=wt] if voteshare_D>=0.5 & abs(voteshare_female_adj +> )<=`band_D' + 96. local b_rdwtideodistrict_D = _b[female] + 97. local se_rdwtideodistrict_D = _se[female] + 98. drop pscore wt + 99. +. probit female z if voteshare_D<0.5 & abs(voteshare_female_adj)<=`band_R' +100. predict pscore if e(sample)==1 +101. gen wt =1/pscore if female==1 +102. replace wt = 1/(1-pscore) if female==0 +103. reg y female voteshare_female_adj i.female#c.voteshare_female_adj [aw=wt] if voteshare_D<0.5 & abs(voteshare_female_adj) +> <=`band_R' +104. local b_rdwtideodistrict_R = _b[female] +105. local se_rdwtideodistrict_R = _se[female] +106. drop pscore wt +107. +. * (5b) using ideology of the elected representative +. gen z_elected = z_D if voteshare_D>=0.5 +108. replace z_elected = z_R if voteshare_D<0.5 +109. +. probit female z_elected if abs(voteshare_female_adj)<=`band_all' +110. predict pscore if e(sample)==1 +111. gen wt =1/pscore if female==1 +112. replace wt = 1/(1-pscore) if female==0 +113. reg y female voteshare_female_adj i.female#c.voteshare_female_adj [aw=wt] if abs(voteshare_female_adj)<=`band_all' +114. local b_rdwtideoelected_all = _b[female] +115. local se_rdwtideoelected_all = _se[female] +116. drop pscore wt +117. +. probit female z_elected if voteshare_D>=0.5 & abs(voteshare_female_adj)<=`band_D' +118. predict pscore if e(sample)==1 +119. gen wt =1/pscore if female==1 +120. replace wt = 1/(1-pscore) if female==0 +121. reg y female voteshare_female_adj i.female#c.voteshare_female_adj [aw=wt] if voteshare_D>=0.5 & abs(voteshare_female_adj +> )<=`band_D' +122. local b_rdwtideoelected_D = _b[female] +123. local se_rdwtideoelected_D = _se[female] +124. drop pscore wt +125. +. probit female z_elected if voteshare_D<0.5 & abs(voteshare_female_adj)<=`band_R' +126. predict pscore if e(sample)==1 +127. gen wt =1/pscore if female==1 +128. replace wt = 1/(1-pscore) if female==0 +129. reg y female voteshare_female_adj i.female#c.voteshare_female_adj [aw=wt] if voteshare_D<0.5 & abs(voteshare_female_adj) +> <=`band_R' +130. local b_rdwtideoelected_R = _b[female] +131. local se_rdwtideoelected_R = _se[female] +132. drop pscore wt +133. +. * (6-7) Propensity score methods +. gen absMV = abs(voteshare_D-0.5) +134. +. * (6a) pscore - x +. cap teffects ipw (y) (female x absMV, probit), pstolerance(1e-6) osample(osample) +135. teffects ipw (y) (female x absMV, probit) if osample==0, pstolerance(1e-6) +136. drop osample +137. mat b = e(b) +138. mat V = e(V) +139. local b_pscorex_all = b[1,1] +140. local se_pscorex_all = sqrt(V[1,1]) +141. +. cap teffects ipw (y) (female x absMV, probit) if voteshare_D>=0.5, pstolerance(1e-6) osample(osample) +142. teffects ipw (y) (female x absMV, probit) if voteshare_D>=0.5 & osample==0, pstolerance(1e-6) +143. drop osample +144. mat b = e(b) +145. mat V = e(V) +146. local b_pscorex_D = b[1,1] +147. local se_pscorex_D = sqrt(V[1,1]) +148. +. cap teffects ipw (y) (female x absMV, probit) if voteshare_D<0.5, pstolerance(1e-6) osample(osample) +149. teffects ipw (y) (female x absMV, probit) if voteshare_D<0.5 & osample==0, pstolerance(1e-6) +150. drop osample +151. mat b = e(b) +152. mat V = e(V) +153. local b_pscorex_R = b[1,1] +154. local se_pscorex_R = sqrt(V[1,1]) +155. +. +. * (7a) pscore - district ideology +. cap teffects ipw (y) (female z absMV, probit), pstolerance(1e-6) osample(osample) +156. teffects ipw (y) (female z absMV, probit) if osample==0, pstolerance(1e-6) +157. drop osample +158. mat b = e(b) +159. mat V = e(V) +160. local b_pscoreideodistrict_all = b[1,1] +161. local se_pscoreideodistrict_all = sqrt(V[1,1]) +162. +. cap teffects ipw (y) (female z absMV, probit) if voteshare_D>=0.5, pstolerance(1e-6) osample(osample) +163. teffects ipw (y) (female z absMV, probit) if voteshare_D>=0.5 & osample==0, pstolerance(1e-6) +164. drop osample +165. mat b = e(b) +166. mat V = e(V) +167. local b_pscoreideodistrict_D = b[1,1] +168. local se_pscoreideodistrict_D = sqrt(V[1,1]) +169. +. cap teffects ipw (y) (female z absMV, probit) if voteshare_D<0.5, pstolerance(1e-6) osample(osample) +170. teffects ipw (y) (female z absMV, probit) if voteshare_D<0.5 & osample==0, pstolerance(1e-6) +171. drop osample +172. mat b = e(b) +173. mat V = e(V) +174. local b_pscoreideodistrict_R = b[1,1] +175. local se_pscoreideodistrict_R = sqrt(V[1,1]) +176. +. +. * (7b) pscore - elected representative ideology +. cap teffects ipw (y) (female z_elected absMV, probit), pstolerance(1e-6) osample(osample) +177. teffects ipw (y) (female z_elected absMV, probit) if osample==0, pstolerance(1e-6) +178. drop osample +179. mat b = e(b) +180. mat V = e(V) +181. local b_pscoreideoelected_all = b[1,1] +182. local se_pscoreideoelected_all = sqrt(V[1,1]) +183. +. cap teffects ipw (y) (female z_elected absMV, probit) if voteshare_D>=0.5, pstolerance(1e-6) osample(osample) +184. teffects ipw (y) (female z_elected absMV, probit) if voteshare_D>=0.5 & osample==0, pstolerance(1e-6) +185. drop osample +186. mat b = e(b) +187. mat V = e(V) +188. local b_pscoreideoelected_D = b[1,1] +189. local se_pscoreideoelected_D = sqrt(V[1,1]) +190. +. cap teffects ipw (y) (female z_elected absMV, probit) if voteshare_D<0.5, pstolerance(1e-6) osample(osample) +191. teffects ipw (y) (female z_elected absMV, probit) if voteshare_D<0.5 & osample==0, pstolerance(1e-6) +192. drop osample +193. mat b = e(b) +194. mat V = e(V) +195. local b_pscoreideoelected_R = b[1,1] +196. local se_pscoreideoelected_R = sqrt(V[1,1]) +197. +. +. * (8) OLS +. reg y female +198. local b_ols_all =_b[female] +199. local se_ols_all = _se[female] +200. +. reg y female if voteshare_D>=0.5 +201. local b_ols_D = _b[female] +202. local se_ols_D = _se[female] +203. +. reg y female if voteshare_D<0.5 +204. local b_ols_R = _b[female] +205. local se_ols_R = _se[female] +206. +. * (9) Return +. return scalar denstest_pval_all = `denstest_pval_all' +207. return scalar denstest_pval_D = `denstest_pval_D' +208. return scalar denstest_pval_R = `denstest_pval_R' +209. +. return scalar b_ideology_all = `b_ideology_all' +210. return scalar se_ideology_all = `se_ideology_all' +211. return scalar b_ideology_D = `b_ideology_D' +212. return scalar se_ideology_D = `se_ideology_D' +213. return scalar b_ideology_R = `b_ideology_R' +214. return scalar se_ideology_R = `se_ideology_R' +215. +. return scalar b_rd_all = `b_rd_all' +216. return scalar se_rd_all = `se_rd_all' +217. return scalar b_rd_D = `b_rd_D' +218. return scalar se_rd_D = `se_rd_D' +219. return scalar b_rd_R = `b_rd_R' +220. return scalar se_rd_R = `se_rd_R' +221. +. return scalar b_rdwt_all = `b_rdwt_all' +222. return scalar se_rdwt_all = `se_rdwt_all' +223. return scalar b_rdwt_D = `b_rdwt_D' +224. return scalar se_rdwt_D = `se_rdwt_D' +225. return scalar b_rdwt_R = `b_rdwt_R' +226. return scalar se_rdwt_R = `se_rdwt_R' +227. +. return scalar b_rdwtideodistrict_all = `b_rdwtideodistrict_all' +228. return scalar se_rdwtideodistrict_all = `se_rdwtideodistrict_all' +229. return scalar b_rdwtideodistrict_D = `b_rdwtideodistrict_D' +230. return scalar se_rdwtideodistrict_D = `se_rdwtideodistrict_D' +231. return scalar b_rdwtideodistrict_R = `b_rdwtideodistrict_R' +232. return scalar se_rdwtideodistrict_R = `se_rdwtideodistrict_R' +233. +. return scalar b_rdwtideoelected_all = `b_rdwtideoelected_all' +234. return scalar se_rdwtideoelected_all = `se_rdwtideoelected_all' +235. return scalar b_rdwtideoelected_D = `b_rdwtideoelected_D' +236. return scalar se_rdwtideoelected_D = `se_rdwtideoelected_D' +237. return scalar b_rdwtideoelected_R = `b_rdwtideoelected_R' +238. return scalar se_rdwtideoelected_R = `se_rdwtideoelected_R' +239. +. return scalar b_pscorex_all = `b_pscorex_all' +240. return scalar se_pscorex_all = `se_pscorex_all' +241. return scalar b_pscorex_D = `b_pscorex_D' +242. return scalar se_pscorex_D = `se_pscorex_D' +243. return scalar b_pscorex_R = `b_pscorex_R' +244. return scalar se_pscorex_R = `se_pscorex_R' +245. +. return scalar b_pscoreideodistrict_all = `b_pscoreideodistrict_all' +246. return scalar se_pscoreideodistrict_all = `se_pscoreideodistrict_all' +247. return scalar b_pscoreideodistrict_D = `b_pscoreideodistrict_D' +248. return scalar se_pscoreideodistrict_D = `se_pscoreideodistrict_D' +249. return scalar b_pscoreideodistrict_R = `b_pscoreideodistrict_R' +250. return scalar se_pscoreideodistrict_R = `se_pscoreideodistrict_R' +251. +. return scalar b_pscoreideoelected_all = `b_pscoreideoelected_all' +252. return scalar se_pscoreideoelected_all = `se_pscoreideoelected_all' +253. return scalar b_pscoreideoelected_D = `b_pscoreideoelected_D' +254. return scalar se_pscoreideoelected_D = `se_pscoreideoelected_D' +255. return scalar b_pscoreideoelected_R = `b_pscoreideoelected_R' +256. return scalar se_pscoreideoelected_R = `se_pscoreideoelected_R' +257. +. return scalar b_ols_all = `b_ols_all' +258. return scalar se_ols_all = `se_ols_all' +259. return scalar b_ols_D = `b_ols_D' +260. return scalar se_ols_D = `se_ols_D' +261. return scalar b_ols_R = `b_ols_R' +262. return scalar se_ols_R = `se_ols_R' +263. +. end + +. +. +. ******************************************************************************** +. ******************************************************************************** +. ******************************************************************************** +. +. * Now actually run the simulations +. +. set seed 1234567 + +. +. * Run one simulation as a test +. rd_sim, beta_a(5) beta_b(5) kappa_ksi_R(0.4) kappa_ksi_D(0.4) kappa_u(1) tau1(-5) rho_x(0.6) nobs(100000) /* +> */ gamma2(0.0) gamma3(0.6) phi1_D(-1) phi1_R(-1) +number of observations (_N) was 0, now 100,000 +(79,715 missing values generated) +(8,263 real changes made) +(53,038 missing values generated) +(53,038 real changes made) +Computing data-driven bandwidth selectors. + +RD Manipulation Test using local polynomial density estimation. + + Cutoff c = .5 |Left of c Right of c Number of obs = 28548 +-------------------+---------------------- Model = unrestricted + Number of obs | 11425 17123 BW method = comb +Eff. Number of obs | 4542 4450 Kernel = triangular + Order est. (p) | 2 2 VCE method = jackknife + Order bias (q) | 3 3 + BW est. (h) | 0.096 0.083 + +Running variable: voteshare_female. +----------------------------------------------- + Method | T P>|T| +-------------------+--------------------------- + Robust | -0.2326 0.8161 +----------------------------------------------- + +Computing data-driven bandwidth selectors. + +RD Manipulation Test using local polynomial density estimation. + + Cutoff c = .5 |Left of c Right of c Number of obs = 13774 +-------------------+---------------------- Model = unrestricted + Number of obs | 2457 11317 BW method = comb +Eff. Number of obs | 1616 6492 Kernel = triangular + Order est. (p) | 2 2 VCE method = jackknife + Order bias (q) | 3 3 + BW est. (h) | 0.141 0.174 + +Running variable: voteshare_female. +----------------------------------------------- + Method | T P>|T| +-------------------+--------------------------- + Robust | 9.4265 0.0000 +----------------------------------------------- + +Computing data-driven bandwidth selectors. + +RD Manipulation Test using local polynomial density estimation. + + Cutoff c = .5 |Left of c Right of c Number of obs = 14774 +-------------------+---------------------- Model = unrestricted + Number of obs | 8968 5806 BW method = comb +Eff. Number of obs | 6647 2312 Kernel = triangular + Order est. (p) | 2 2 VCE method = jackknife + Order bias (q) | 3 3 + BW est. (h) | 0.211 0.148 + +Running variable: voteshare_female. +----------------------------------------------- + Method | T P>|T| +-------------------+--------------------------- + Robust | -12.2099 0.0000 +----------------------------------------------- + + +Sharp RD estimates using local polynomial regression. + + Cutoff c = .5 | Left of c Right of c Number of obs = 28548 +-------------------+---------------------- BW type = mserd + Number of obs | 11425 17123 Kernel = Uniform +Eff. Number of obs | 2276 2402 VCE method = NN + Order est. (p) | 1 1 + Order bias (q) | 2 2 + BW est. (h) | 0.046 0.046 + BW bias (b) | 0.092 0.092 + rho (h/b) | 0.494 0.494 + +Outcome: z. Running variable: voteshare_female. +-------------------------------------------------------------------------------- + Method | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------------+------------------------------------------------------------ + Conventional | .01881 .00924 2.0343 0.042 .000687 .036923 + Robust | - - 2.1139 0.035 .001606 .042517 +-------------------------------------------------------------------------------- + +Sharp RD estimates using local polynomial regression. + + Cutoff c = .5 | Left of c Right of c Number of obs = 13774 +-------------------+---------------------- BW type = mserd + Number of obs | 2457 11317 Kernel = Uniform +Eff. Number of obs | 865 2430 VCE method = NN + Order est. (p) | 1 1 + Order bias (q) | 2 2 + BW est. (h) | 0.064 0.064 + BW bias (b) | 0.117 0.117 + rho (h/b) | 0.542 0.542 + +Outcome: z. Running variable: voteshare_female. +-------------------------------------------------------------------------------- + Method | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------------+------------------------------------------------------------ + Conventional | .21122 .00972 21.7324 0.000 .19217 .230268 + Robust | - - 18.9852 0.000 .191766 .235919 +-------------------------------------------------------------------------------- + +Sharp RD estimates using local polynomial regression. + + Cutoff c = .5 | Left of c Right of c Number of obs = 14774 +-------------------+---------------------- BW type = mserd + Number of obs | 8968 5806 Kernel = Uniform +Eff. Number of obs | 2902 1272 VCE method = NN + Order est. (p) | 1 1 + Order bias (q) | 2 2 + BW est. (h) | 0.082 0.082 + BW bias (b) | 0.150 0.150 + rho (h/b) | 0.546 0.546 + +Outcome: z. Running variable: voteshare_female. +-------------------------------------------------------------------------------- + Method | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------------+------------------------------------------------------------ + Conventional | -.1981 .00825 -24.0035 0.000 -.214271 -.181921 + Robust | - - -20.4356 0.000 -.215066 -.177422 +-------------------------------------------------------------------------------- + +Sharp RD estimates using local polynomial regression. + + Cutoff c = .5 | Left of c Right of c Number of obs = 28548 +-------------------+---------------------- BW type = mserd + Number of obs | 11425 17123 Kernel = Uniform +Eff. Number of obs | 4706 5401 VCE method = NN + Order est. (p) | 1 1 + Order bias (q) | 2 2 + BW est. (h) | 0.100 0.100 + BW bias (b) | 0.191 0.191 + rho (h/b) | 0.524 0.524 + +Outcome: y. Running variable: voteshare_female. +-------------------------------------------------------------------------------- + Method | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------------+------------------------------------------------------------ + Conventional | .17703 .04336 4.0823 0.000 .092034 .262018 + Robust | - - 3.3005 0.001 .06695 .262722 +-------------------------------------------------------------------------------- + +Sharp RD estimates using local polynomial regression. + + Cutoff c = .5 | Left of c Right of c Number of obs = 13774 +-------------------+---------------------- BW type = mserd + Number of obs | 2457 11317 Kernel = Uniform +Eff. Number of obs | 877 2480 VCE method = NN + Order est. (p) | 1 1 + Order bias (q) | 2 2 + BW est. (h) | 0.065 0.065 + BW bias (b) | 0.116 0.116 + rho (h/b) | 0.556 0.556 + +Outcome: y. Running variable: voteshare_female. +-------------------------------------------------------------------------------- + Method | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------------+------------------------------------------------------------ + Conventional | .30989 .07991 3.8780 0.000 .153269 .466501 + Robust | - - 3.3339 0.001 .128186 .493912 +-------------------------------------------------------------------------------- + +Sharp RD estimates using local polynomial regression. + + Cutoff c = .5 | Left of c Right of c Number of obs = 14774 +-------------------+---------------------- BW type = mserd + Number of obs | 8968 5806 Kernel = Uniform +Eff. Number of obs | 3626 1624 VCE method = NN + Order est. (p) | 1 1 + Order bias (q) | 2 2 + BW est. (h) | 0.105 0.105 + BW bias (b) | 0.183 0.183 + rho (h/b) | 0.570 0.570 + +Outcome: y. Running variable: voteshare_female. +-------------------------------------------------------------------------------- + Method | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------------+------------------------------------------------------------ + Conventional | .38502 .06756 5.6986 0.000 .252596 .517445 + Robust | - - 4.7213 0.000 .220178 .532734 +-------------------------------------------------------------------------------- +(53,038 missing values generated) +(53,038 real changes made) +(71,452 missing values generated) + +Iteration 0: log likelihood = -6981.7241 +Iteration 1: log likelihood = -6951.2533 +Iteration 2: log likelihood = -6951.2526 + +Probit regression Number of obs = 10,107 + LR chi2(1) = 60.94 + Prob > chi2 = 0.0000 +Log likelihood = -6951.2526 Pseudo R2 = 0.0044 + +------------------------------------------------------------------------------ + female | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + x | -.2242047 .0287728 -7.79 0.000 -.2805985 -.167811 + _cons | .0713183 .01265 5.64 0.000 .0465247 .096112 +------------------------------------------------------------------------------ +(option pr assumed; Pr(female)) +(89,893 missing values generated) +(94,599 missing values generated) +(4,706 real changes made) +(sum of wgt is 20,214.6489137411) + + Source | SS df MS Number of obs = 10,107 +-------------+---------------------------------- F(3, 10103) = 50.64 + Model | 187.805303 3 62.6017676 Prob > F = 0.0000 + Residual | 12490.6152 10,103 1.23632735 R-squared = 0.0148 +-------------+---------------------------------- Adj R-squared = 0.0145 + Total | 12678.4205 10,106 1.25454389 Root MSE = 1.1119 + +----------------------------------------------------------------------------------------------- + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------------+---------------------------------------------------------------- + female | .1790657 .0441612 4.05 0.000 .0925009 .2656304 + voteshare_female_adj | 3.49646 .5498583 6.36 0.000 2.418628 4.574291 + | +female#c.voteshare_female_adj | + 1 | -6.327224 .7751752 -8.16 0.000 -7.846721 -4.807726 + | + _cons | -1.053456 .0306655 -34.35 0.000 -1.113566 -.9933454 +----------------------------------------------------------------------------------------------- + +Iteration 0: log likelihood = -1928.1107 +Iteration 1: log likelihood = -1873.3101 +Iteration 2: log likelihood = -1873.185 +Iteration 3: log likelihood = -1873.185 + +Probit regression Number of obs = 3,357 + LR chi2(1) = 109.85 + Prob > chi2 = 0.0000 +Log likelihood = -1873.185 Pseudo R2 = 0.0285 + +------------------------------------------------------------------------------ + female | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + x | .5779435 .0559194 10.34 0.000 .4683435 .6875434 + _cons | .7216682 .02523 28.60 0.000 .6722182 .7711181 +------------------------------------------------------------------------------ +(option pr assumed; Pr(female)) +(96,643 missing values generated) +(97,520 missing values generated) +(877 real changes made) +(sum of wgt is 6,720.2024409771) + + Source | SS df MS Number of obs = 3,357 +-------------+---------------------------------- F(3, 3353) = 40.34 + Model | 137.824493 3 45.9414975 Prob > F = 0.0000 + Residual | 3819.03649 3,353 1.1389909 R-squared = 0.0348 +-------------+---------------------------------- Adj R-squared = 0.0340 + Total | 3956.86098 3,356 1.17904082 Root MSE = 1.0672 + +----------------------------------------------------------------------------------------------- + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------------+---------------------------------------------------------------- + female | .2391887 .0731368 3.27 0.001 .0957915 .3825858 + voteshare_female_adj | 6.730832 1.420563 4.74 0.000 3.945575 9.51609 + | +female#c.voteshare_female_adj | + 1 | -9.26479 1.998233 -4.64 0.000 -13.18267 -5.346911 + | + _cons | -1.28681 .0502905 -25.59 0.000 -1.385413 -1.188207 +----------------------------------------------------------------------------------------------- + +Iteration 0: log likelihood = -3247.4726 +Iteration 1: log likelihood = -3140.023 +Iteration 2: log likelihood = -3139.7697 +Iteration 3: log likelihood = -3139.7697 + +Probit regression Number of obs = 5,250 + LR chi2(1) = 215.41 + Prob > chi2 = 0.0000 +Log likelihood = -3139.7697 Pseudo R2 = 0.0332 + +------------------------------------------------------------------------------ + female | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + x | -.6302892 .0436688 -14.43 0.000 -.7158785 -.5446999 + _cons | -.5169234 .0184664 -27.99 0.000 -.5531169 -.48073 +------------------------------------------------------------------------------ +(option pr assumed; Pr(female)) +(94,750 missing values generated) +(98,376 missing values generated) +(3,626 real changes made) +(sum of wgt is 10,493.3287761211) + + Source | SS df MS Number of obs = 5,250 +-------------+---------------------------------- F(3, 5246) = 80.20 + Model | 289.800995 3 96.6003318 Prob > F = 0.0000 + Residual | 6318.79316 5,246 1.20449736 R-squared = 0.0439 +-------------+---------------------------------- Adj R-squared = 0.0433 + Total | 6608.59416 5,249 1.25901965 Root MSE = 1.0975 + +----------------------------------------------------------------------------------------------- + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------------+---------------------------------------------------------------- + female | .3238472 .0613624 5.28 0.000 .2035514 .4441429 + voteshare_female_adj | 4.019918 .7209864 5.58 0.000 2.606484 5.433351 + | +female#c.voteshare_female_adj | + 1 | -5.789812 1.014731 -5.71 0.000 -7.779108 -3.800516 + | + _cons | -.8827833 .042444 -20.80 0.000 -.9659913 -.7995753 +----------------------------------------------------------------------------------------------- + +Iteration 0: log likelihood = -6981.7241 +Iteration 1: log likelihood = -6766.6773 +Iteration 2: log likelihood = -6766.5767 +Iteration 3: log likelihood = -6766.5767 + +Probit regression Number of obs = 10,107 + LR chi2(1) = 430.29 + Prob > chi2 = 0.0000 +Log likelihood = -6766.5767 Pseudo R2 = 0.0308 + +------------------------------------------------------------------------------ + female | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + z | -1.548366 .0753098 -20.56 0.000 -1.695971 -1.400762 + _cons | -.0210697 .0137312 -1.53 0.125 -.0479824 .005843 +------------------------------------------------------------------------------ +(option pr assumed; Pr(female)) +(89,893 missing values generated) +(94,599 missing values generated) +(4,706 real changes made) +(sum of wgt is 20,287.421734333) + + Source | SS df MS Number of obs = 10,107 +-------------+---------------------------------- F(3, 10103) = 67.11 + Model | 249.486839 3 83.1622798 Prob > F = 0.0000 + Residual | 12520.037 10,103 1.23923954 R-squared = 0.0195 +-------------+---------------------------------- Adj R-squared = 0.0192 + Total | 12769.5239 10,106 1.26355867 Root MSE = 1.1132 + +----------------------------------------------------------------------------------------------- + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------------+---------------------------------------------------------------- + female | .2038768 .0438181 4.65 0.000 .1179846 .289769 + voteshare_female_adj | 3.78766 .5450131 6.95 0.000 2.719326 4.855994 + | +female#c.voteshare_female_adj | + 1 | -6.416113 .7743803 -8.29 0.000 -7.934053 -4.898174 + | + _cons | -1.075339 .0302393 -35.56 0.000 -1.134614 -1.016064 +----------------------------------------------------------------------------------------------- + +Iteration 0: log likelihood = -1928.1107 +Iteration 1: log likelihood = -1281.905 +Iteration 2: log likelihood = -1263.1586 +Iteration 3: log likelihood = -1263.1137 +Iteration 4: log likelihood = -1263.1137 + +Probit regression Number of obs = 3,357 + LR chi2(1) = 1329.99 + Prob > chi2 = 0.0000 +Log likelihood = -1263.1137 Pseudo R2 = 0.3449 + +------------------------------------------------------------------------------ + female | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + z | 7.45897 .2632765 28.33 0.000 6.942958 7.974983 + _cons | 1.782859 .0538128 33.13 0.000 1.677387 1.88833 +------------------------------------------------------------------------------ +(option pr assumed; Pr(female)) +(96,643 missing values generated) +(97,520 missing values generated) +(877 real changes made) +(sum of wgt is 6,601.97004258633) + + Source | SS df MS Number of obs = 3,357 +-------------+---------------------------------- F(3, 3353) = 113.58 + Model | 473.42905 3 157.809683 Prob > F = 0.0000 + Residual | 4658.88463 3,353 1.38946753 R-squared = 0.0922 +-------------+---------------------------------- Adj R-squared = 0.0914 + Total | 5132.31368 3,356 1.5292949 Root MSE = 1.1788 + +----------------------------------------------------------------------------------------------- + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------------+---------------------------------------------------------------- + female | -.8010879 .0776224 -10.32 0.000 -.95328 -.6488957 + voteshare_female_adj | 26.79953 1.647739 16.26 0.000 23.56886 30.03021 + | +female#c.voteshare_female_adj | + 1 | -31.49241 2.269822 -13.87 0.000 -35.94279 -27.04204 + | + _cons | -.2748449 .0480455 -5.72 0.000 -.3690463 -.1806435 +----------------------------------------------------------------------------------------------- + +Iteration 0: log likelihood = -3247.4726 +Iteration 1: log likelihood = -2177.4657 +Iteration 2: log likelihood = -2157.7399 +Iteration 3: log likelihood = -2157.6885 +Iteration 4: log likelihood = -2157.6885 + +Probit regression Number of obs = 5,250 + LR chi2(1) = 2179.57 + Prob > chi2 = 0.0000 +Log likelihood = -2157.6885 Pseudo R2 = 0.3356 + +------------------------------------------------------------------------------ + female | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + z | -7.050879 .1910416 -36.91 0.000 -7.425313 -6.676444 + _cons | -.761176 .0241247 -31.55 0.000 -.8084597 -.7138924 +------------------------------------------------------------------------------ +(option pr assumed; Pr(female)) +(94,750 missing values generated) +(98,376 missing values generated) +(3,626 real changes made) +(sum of wgt is 9,916.98720681667) + + Source | SS df MS Number of obs = 5,250 +-------------+---------------------------------- F(3, 5246) = 22.35 + Model | 80.5451924 3 26.8483975 Prob > F = 0.0000 + Residual | 6301.88062 5,246 1.20127347 R-squared = 0.0126 +-------------+---------------------------------- Adj R-squared = 0.0121 + Total | 6382.42581 5,249 1.21593176 Root MSE = 1.096 + +----------------------------------------------------------------------------------------------- + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------------+---------------------------------------------------------------- + female | -.1412228 .0656338 -2.15 0.031 -.2698925 -.0125531 + voteshare_female_adj | 5.60666 .7105497 7.89 0.000 4.213687 6.999633 + | +female#c.voteshare_female_adj | + 1 | -7.078208 1.032095 -6.86 0.000 -9.101542 -5.054873 + | + _cons | -.6806511 .0395773 -17.20 0.000 -.7582391 -.6030632 +----------------------------------------------------------------------------------------------- +(53,038 missing values generated) +(53,038 real changes made) + +Iteration 0: log likelihood = -6981.7241 +Iteration 1: log likelihood = -5980.4518 +Iteration 2: log likelihood = -5977.6212 +Iteration 3: log likelihood = -5977.6211 + +Probit regression Number of obs = 10,107 + LR chi2(1) = 2008.21 + Prob > chi2 = 0.0000 +Log likelihood = -5977.6211 Pseudo R2 = 0.1438 + +------------------------------------------------------------------------------ + female | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + z_elected | -1.966812 .045237 -43.48 0.000 -2.055475 -1.878149 + _cons | .013832 .0134134 1.03 0.302 -.0124578 .0401218 +------------------------------------------------------------------------------ +(option pr assumed; Pr(female)) +(89,893 missing values generated) +(94,599 missing values generated) +(4,706 real changes made) +(sum of wgt is 20,518.418389678) + + Source | SS df MS Number of obs = 10,107 +-------------+---------------------------------- F(3, 10103) = 150.17 + Model | 560.363323 3 186.787774 Prob > F = 0.0000 + Residual | 12566.9037 10,103 1.24387843 R-squared = 0.0427 +-------------+---------------------------------- Adj R-squared = 0.0424 + Total | 13127.2671 10,106 1.29895775 Root MSE = 1.1153 + +----------------------------------------------------------------------------------------------- + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------------+---------------------------------------------------------------- + female | .3842837 .0443558 8.66 0.000 .2973376 .4712298 + voteshare_female_adj | 3.593301 .5352517 6.71 0.000 2.544102 4.642501 + | +female#c.voteshare_female_adj | + 1 | -5.895505 .7765012 -7.59 0.000 -7.417602 -4.373408 + | + _cons | -1.211042 .0297287 -40.74 0.000 -1.269316 -1.152768 +----------------------------------------------------------------------------------------------- + +Iteration 0: log likelihood = -1928.1107 +Iteration 1: log likelihood = -1582.7553 +Iteration 2: log likelihood = -1577.0181 +Iteration 3: log likelihood = -1577.0028 +Iteration 4: log likelihood = -1577.0028 + +Probit regression Number of obs = 3,357 + LR chi2(1) = 702.22 + Prob > chi2 = 0.0000 +Log likelihood = -1577.0028 Pseudo R2 = 0.1821 + +------------------------------------------------------------------------------ + female | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + z_elected | 7.424029 .3122823 23.77 0.000 6.811967 8.036092 + _cons | 3.047743 .1073644 28.39 0.000 2.837312 3.258173 +------------------------------------------------------------------------------ +(option pr assumed; Pr(female)) +(96,643 missing values generated) +(97,520 missing values generated) +(877 real changes made) +(sum of wgt is 6,804.29840457439) + + Source | SS df MS Number of obs = 3,357 +-------------+---------------------------------- F(3, 3353) = 44.02 + Model | 169.308457 3 56.4361525 Prob > F = 0.0000 + Residual | 4298.41264 3,353 1.28196023 R-squared = 0.0379 +-------------+---------------------------------- Adj R-squared = 0.0370 + Total | 4467.7211 3,356 1.33126374 Root MSE = 1.1322 + +----------------------------------------------------------------------------------------------- + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------------+---------------------------------------------------------------- + female | -.4555395 .0759791 -6.00 0.000 -.6045096 -.3065693 + voteshare_female_adj | 16.09478 1.526685 10.54 0.000 13.10145 19.08811 + | +female#c.voteshare_female_adj | + 1 | -19.83904 2.143949 -9.25 0.000 -24.04262 -15.63546 + | + _cons | -.6459713 .0492403 -13.12 0.000 -.7425155 -.5494272 +----------------------------------------------------------------------------------------------- + +Iteration 0: log likelihood = -3247.4726 +Iteration 1: log likelihood = -2601.4659 +Iteration 2: log likelihood = -2590.7262 +Iteration 3: log likelihood = -2590.6931 +Iteration 4: log likelihood = -2590.6931 + +Probit regression Number of obs = 5,250 + LR chi2(1) = 1313.56 + Prob > chi2 = 0.0000 +Log likelihood = -2590.6931 Pseudo R2 = 0.2022 + +------------------------------------------------------------------------------ + female | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + z_elected | -7.803128 .2421683 -32.22 0.000 -8.277769 -7.328487 + _cons | 1.301318 .057368 22.68 0.000 1.188879 1.413757 +------------------------------------------------------------------------------ +(option pr assumed; Pr(female)) +(94,750 missing values generated) +(98,376 missing values generated) +(3,626 real changes made) +(sum of wgt is 10,386.6651585102) + + Source | SS df MS Number of obs = 5,250 +-------------+---------------------------------- F(3, 5246) = 16.62 + Model | 60.5009911 3 20.166997 Prob > F = 0.0000 + Residual | 6365.06871 5,246 1.21331847 R-squared = 0.0094 +-------------+---------------------------------- Adj R-squared = 0.0088 + Total | 6425.5697 5,249 1.22415121 Root MSE = 1.1015 + +----------------------------------------------------------------------------------------------- + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------------+---------------------------------------------------------------- + female | -.1881821 .0631898 -2.98 0.003 -.3120603 -.0643038 + voteshare_female_adj | 5.023627 .7198774 6.98 0.000 3.612368 6.434887 + | +female#c.voteshare_female_adj | + 1 | -5.630045 1.02352 -5.50 0.000 -7.636571 -3.62352 + | + _cons | -.6938864 .0410839 -16.89 0.000 -.774428 -.6133448 +----------------------------------------------------------------------------------------------- + +Iteration 0: EE criterion = 2.162e-28 +Iteration 1: EE criterion = 4.110e-33 + +Treatment-effects estimation Number of obs = 100,000 +Estimator : inverse-probability weights +Outcome model : weighted mean +Treatment model: probit +------------------------------------------------------------------------------ + | Robust + y | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- +ATE | + female | + (1 vs 0) | .185551 .009143 20.29 0.000 .1676311 .2034709 +-------------+---------------------------------------------------------------- +POmean | + female | + 0 | -1.51444 .0040466 -374.25 0.000 -1.522371 -1.506509 +------------------------------------------------------------------------------ + +Iteration 0: EE criterion = 5.545e-18 +Iteration 1: EE criterion = 2.033e-33 + +Treatment-effects estimation Number of obs = 46,962 +Estimator : inverse-probability weights +Outcome model : weighted mean +Treatment model: probit +------------------------------------------------------------------------------ + | Robust + y | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- +ATE | + female | + (1 vs 0) | -.0620271 .0113967 -5.44 0.000 -.0843642 -.03969 +-------------+---------------------------------------------------------------- +POmean | + female | + 0 | -1.499856 .0061075 -245.58 0.000 -1.511827 -1.487886 +------------------------------------------------------------------------------ + +Iteration 0: EE criterion = 2.364e-23 +Iteration 1: EE criterion = 1.407e-32 + +Treatment-effects estimation Number of obs = 53,038 +Estimator : inverse-probability weights +Outcome model : weighted mean +Treatment model: probit +------------------------------------------------------------------------------ + | Robust + y | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- +ATE | + female | + (1 vs 0) | .4934254 .015274 32.30 0.000 .4634889 .5233619 +-------------+---------------------------------------------------------------- +POmean | + female | + 0 | -1.519821 .0053757 -282.72 0.000 -1.530357 -1.509284 +------------------------------------------------------------------------------ + +Iteration 0: EE criterion = 7.198e-22 +Iteration 1: EE criterion = 6.756e-33 + +Treatment-effects estimation Number of obs = 100,000 +Estimator : inverse-probability weights +Outcome model : weighted mean +Treatment model: probit +------------------------------------------------------------------------------ + | Robust + y | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- +ATE | + female | + (1 vs 0) | .1960373 .0094185 20.81 0.000 .1775775 .2144971 +-------------+---------------------------------------------------------------- +POmean | + female | + 0 | -1.527443 .004071 -375.20 0.000 -1.535422 -1.519464 +------------------------------------------------------------------------------ + +Iteration 0: EE criterion = 4.047e-18 +Iteration 1: EE criterion = 2.312e-32 + +Treatment-effects estimation Number of obs = 46,962 +Estimator : inverse-probability weights +Outcome model : weighted mean +Treatment model: probit +------------------------------------------------------------------------------ + | Robust + y | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- +ATE | + female | + (1 vs 0) | -.0158669 .0108021 -1.47 0.142 -.0370386 .0053048 +-------------+---------------------------------------------------------------- +POmean | + female | + 0 | -1.51214 .0060289 -250.82 0.000 -1.523956 -1.500323 +------------------------------------------------------------------------------ + +Iteration 0: EE criterion = 2.425e-27 +Iteration 1: EE criterion = 1.682e-31 + +Treatment-effects estimation Number of obs = 52,919 +Estimator : inverse-probability weights +Outcome model : weighted mean +Treatment model: probit +------------------------------------------------------------------------------ + | Robust + y | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- +ATE | + female | + (1 vs 0) | -.1946729 .0624661 -3.12 0.002 -.3171042 -.0722417 +-------------+---------------------------------------------------------------- +POmean | + female | + 0 | -1.45934 .0055571 -262.61 0.000 -1.470232 -1.448448 +------------------------------------------------------------------------------ + +Iteration 0: EE criterion = 1.047e-24 +Iteration 1: EE criterion = 3.917e-33 + +Treatment-effects estimation Number of obs = 100,000 +Estimator : inverse-probability weights +Outcome model : weighted mean +Treatment model: probit +------------------------------------------------------------------------------ + | Robust + y | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- +ATE | + female | + (1 vs 0) | .2416772 .0092623 26.09 0.000 .2235235 .2598309 +-------------+---------------------------------------------------------------- +POmean | + female | + 0 | -1.519808 .0040542 -374.88 0.000 -1.527754 -1.511862 +------------------------------------------------------------------------------ + +Iteration 0: EE criterion = 3.676e-18 +Iteration 1: EE criterion = 4.790e-33 + +Treatment-effects estimation Number of obs = 46,962 +Estimator : inverse-probability weights +Outcome model : weighted mean +Treatment model: probit +------------------------------------------------------------------------------ + | Robust + y | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- +ATE | + female | + (1 vs 0) | -.000495 .0106006 -0.05 0.963 -.0212719 .0202818 +-------------+---------------------------------------------------------------- +POmean | + female | + 0 | -1.515822 .0060067 -252.36 0.000 -1.527595 -1.504049 +------------------------------------------------------------------------------ + +Iteration 0: EE criterion = 9.684e-16 +Iteration 1: EE criterion = 8.458e-28 + +Treatment-effects estimation Number of obs = 53,038 +Estimator : inverse-probability weights +Outcome model : weighted mean +Treatment model: probit +------------------------------------------------------------------------------ + | Robust + y | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- +ATE | + female | + (1 vs 0) | -.1050439 .0401988 -2.61 0.009 -.183832 -.0262557 +-------------+---------------------------------------------------------------- +POmean | + female | + 0 | -1.458219 .0054927 -265.48 0.000 -1.468984 -1.447453 +------------------------------------------------------------------------------ + + Source | SS df MS Number of obs = 100,000 +-------------+---------------------------------- F(1, 99998) = 115.72 + Model | 155.270531 1 155.270531 Prob > F = 0.0000 + Residual | 134179.437 99,998 1.3418212 R-squared = 0.0012 +-------------+---------------------------------- Adj R-squared = 0.0011 + Total | 134334.707 99,999 1.34336051 Root MSE = 1.1584 + +------------------------------------------------------------------------------ + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + female | .0988518 .0091894 10.76 0.000 .0808406 .1168629 + _cons | -1.501196 .0040908 -366.97 0.000 -1.509214 -1.493178 +------------------------------------------------------------------------------ + + Source | SS df MS Number of obs = 46,962 +-------------+---------------------------------- F(1, 46960) = 81.37 + Model | 107.755058 1 107.755058 Prob > F = 0.0000 + Residual | 62185.463 46,960 1.32422196 R-squared = 0.0017 +-------------+---------------------------------- Adj R-squared = 0.0017 + Total | 62293.2181 46,961 1.32648832 Root MSE = 1.1507 + +------------------------------------------------------------------------------ + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + female | -.1088381 .0120654 -9.02 0.000 -.1324866 -.0851897 + _cons | -1.487199 .0061843 -240.48 0.000 -1.499321 -1.475078 +------------------------------------------------------------------------------ + + Source | SS df MS Number of obs = 53,038 +-------------+---------------------------------- F(1, 53036) = 886.34 + Model | 1182.47024 1 1182.47024 Prob > F = 0.0000 + Residual | 70755.5305 53,036 1.33410383 R-squared = 0.0164 +-------------+---------------------------------- Adj R-squared = 0.0164 + Total | 71938.0008 53,037 1.35637387 Root MSE = 1.155 + +------------------------------------------------------------------------------ + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + female | .4290223 .0144105 29.77 0.000 .4007775 .457267 + _cons | -1.511833 .0054114 -279.38 0.000 -1.522439 -1.501226 +------------------------------------------------------------------------------ + +. +. fulijhkjhk +command fulijhkjhk is unrecognized +r(199); + +end of do-file +r(199); + +end of do-file + +r(199); + +. exit, clear diff --git a/30/replication_package/Log/AppendixC_simulations_May2021 (Daniele Paserman's conflicted copy 2021-05-18).log b/30/replication_package/Log/AppendixC_simulations_May2021 (Daniele Paserman's conflicted copy 2021-05-18).log new file mode 100644 index 0000000000000000000000000000000000000000..5ef518790631f97419032fd23ef6ad5e6e131221 --- /dev/null +++ b/30/replication_package/Log/AppendixC_simulations_May2021 (Daniele Paserman's conflicted copy 2021-05-18).log @@ -0,0 +1,1228 @@ +------------------------------------------------------------------------------------------------------------------------------ + name: + log: D:/Dropbox/Research/GenderCooperativeness/EJ/3 replication package/Log/AppendixC_simulations_May2021.log + log type: text + opened on: 7 May 2021, 09:14:40 + +. +. +. cap prog drop rd_sim + +. prog def rd_sim, rclass + 1. version 15.1 + 2. syntax [, nobs(integer 10000) beta_a(real 1.0) beta_b(real 1.0) rho_x(real 0.7) /* +> */ zbar_R(real 0.5) zbar_D(real -0.5) /* +> */ alpha_R(real 0.5) alpha_D(real 0.5) /* +> */ kappa_ksi_R(real 0.0) beta_ksi_R(real 10.0) kappa_ksi_D(real 0.0) beta_ksi_D(real 10.0) /* +> */ phi0_R(real -1.0) phi1_R(real -1.0) phi0_D(real -1.0) phi1_D(real -1.0) /* +> */ kappa_u(real 0.0) beta_u(real 1.0) /* +> */ gamma0(real 0.0) gamma1(real -5.0) gamma2(real 0.0) gamma3(real 0.0)/* +> */ tau0(real 0.3) tau1(real -1.0) tau2(real 0.0)] + 3. drop _all + 4. set obs `nobs' + 5. +. * Overall district ideology +. gen z = 2*(rbeta(`beta_a',`beta_b')-0.5) + 6. gen x = z + (sqrt((1-`rho_x'^2)/`rho_x'^2))*(2*(rbeta(`beta_a',`beta_b')-0.5)) + 7. +. * Ideology of R and candidates: weighted average of national party and local ideology, plus noise +. gen z_R = `alpha_R'*`zbar_R' + (1-`alpha_R')*z + `kappa_ksi_R'*(rbeta(`beta_ksi_R',`beta_ksi_R')-0.5) + 8. gen z_D = `alpha_D'*`zbar_D' + (1-`alpha_D')*z + `kappa_ksi_D'*(rbeta(`beta_ksi_D',`beta_ksi_D')-0.5) + 9. +. * Gender is correlated with candidate ideology +. gen byte female_D = rnormal(`phi0_D' + `phi1_D'*z_D)>0 + 10. gen byte female_R = rnormal(`phi0_R' + `phi1_R'*z_R)>0 + 11. +. * Voteshare depends on ideology of the candidates plus noise +. gen u = `kappa_u'*(rbeta(`beta_u', `beta_u')-0.5) + 12. gen voteshare_D = (exp(`gamma0' + `gamma1'*(z - (z_D+z_R)/2) + `gamma2'*female_D - `gamma3'*female_R + u)/ /* +> */ (1+ exp(`gamma0' + `gamma1'*(z - (z_D+z_R)/2) + `gamma2'*female_D - `gamma3'*female_R + u ))) + 13. +. gen voteshare_female = voteshare_D if female_D==1 & female_R==0 + 14. replace voteshare_female = (1-voteshare_D) if female_D==0 & female_R==1 + 15. +. * Outcome: depends on who is elected +. gen y = `tau0' + `tau1'*abs(z_D) + `tau2'*female_D + rnormal() if voteshare_D>=0.5 + 16. replace y = `tau0' + `tau1'*abs(z_R) +`tau2'*female_R + rnormal() if voteshare_D<0.5 + 17. +. * Now four types of RD analyses +. * (1) Density test +. rddensity voteshare_female, c(0.5) + 18. local denstest_pval_all = e(pv_q) + 19. +. rddensity voteshare_female if voteshare_D>=0.5, c(0.5) + 20. local denstest_pval_D = e(pv_q) + 21. +. rddensity voteshare_female if voteshare_D<0.5, c(0.5) + 22. local denstest_pval_R = e(pv_q) + 23. +. * (2) is ideology continuous at the threshold +. rdrobust z voteshare_female, c(0.5) kernel(uniform) + 24. mat b = e(b) + 25. mat V = e(V) + 26. local b_ideology_all = b[1,1] + 27. local se_ideology_all = sqrt(V[1,1]) + 28. +. rdrobust z voteshare_female if voteshare_D>=0.5, c(0.5) kernel(uniform) + 29. mat b = e(b) + 30. mat V = e(V) + 31. local b_ideology_D = b[1,1] + 32. local se_ideology_D = sqrt(V[1,1]) + 33. +. rdrobust z voteshare_female if voteshare_D<0.5, c(0.5) kernel(uniform) + 34. mat b = e(b) + 35. mat V = e(V) + 36. local b_ideology_R = b[1,1] + 37. local se_ideology_R = sqrt(V[1,1]) + 38. +. * (3) Estimate treatment effect with simple RD +. rdrobust y voteshare_female, c(0.5) kernel(uniform) + 39. mat b = e(b) + 40. mat V = e(V) + 41. local b_rd_all = b[1,1] + 42. local se_rd_all = sqrt(V[1,1]) + 43. local band_all = e(h_l) + 44. +. rdrobust y voteshare_female if voteshare_D>=0.5, c(0.5) kernel(uniform) + 45. mat b = e(b) + 46. mat V = e(V) + 47. local b_rd_D = b[1,1] + 48. local se_rd_D = sqrt(V[1,1]) + 49. local band_D = e(h_l) + 50. +. rdrobust y voteshare_female if voteshare_D<0.5, c(0.5) kernel(uniform) + 51. mat b = e(b) + 52. mat V = e(V) + 53. local b_rd_R = b[1,1] + 54. local se_rd_R = sqrt(V[1,1]) + 55. local band_R = e(h_l) + 56. +. * (4-5) Estimate the treatment effect with weighted RD +. gen byte female = female_D if voteshare_D>=0.5 + 57. replace female = female_R if voteshare_D<0.5 + 58. gen voteshare_female_adj = voteshare_female-0.5 + 59. +. * (4) using x +. probit female x if abs(voteshare_female_adj)<=`band_all' + 60. predict pscore if e(sample)==1 + 61. gen wt =1/pscore if female==1 + 62. replace wt = 1/(1-pscore) if female==0 + 63. reg y female voteshare_female_adj i.female#c.voteshare_female_adj [aw=wt] if abs(voteshare_female_adj)<=`band_all' + 64. local b_rdwt_all = _b[female] + 65. local se_rdwt_all = _se[female] + 66. drop pscore wt + 67. +. probit female x if voteshare_D>=0.5 & abs(voteshare_female_adj)<=`band_D' + 68. predict pscore if e(sample)==1 + 69. gen wt =1/pscore if female==1 + 70. replace wt = 1/(1-pscore) if female==0 + 71. reg y female voteshare_female_adj i.female#c.voteshare_female_adj [aw=wt] if voteshare_D>=0.5 & abs(voteshare_female_ +> adj)<=`band_D' + 72. local b_rdwt_D = _b[female] + 73. local se_rdwt_D = _se[female] + 74. drop pscore wt + 75. +. probit female x if voteshare_D<0.5 & abs(voteshare_female_adj)<=`band_R' + 76. predict pscore if e(sample)==1 + 77. gen wt =1/pscore if female==1 + 78. replace wt = 1/(1-pscore) if female==0 + 79. reg y female voteshare_female_adj i.female#c.voteshare_female_adj [aw=wt] if voteshare_D<0.5 & abs(voteshare_female_a +> dj)<=`band_R' + 80. local b_rdwt_R = _b[female] + 81. local se_rdwt_R = _se[female] + 82. drop pscore wt + 83. +. +. +. * (5a) using ideology of the district +. probit female z if abs(voteshare_female_adj)<=`band_all' + 84. predict pscore if e(sample)==1 + 85. gen wt =1/pscore if female==1 + 86. replace wt = 1/(1-pscore) if female==0 + 87. reg y female voteshare_female_adj i.female#c.voteshare_female_adj [aw=wt] if abs(voteshare_female_adj)<=`band_all' + 88. local b_rdwtideodistrict_all = _b[female] + 89. local se_rdwtideodistrict_all = _se[female] + 90. drop pscore wt + 91. +. probit female z if voteshare_D>=0.5 & abs(voteshare_female_adj)<=`band_D' + 92. predict pscore if e(sample)==1 + 93. gen wt =1/pscore if female==1 + 94. replace wt = 1/(1-pscore) if female==0 + 95. reg y female voteshare_female_adj i.female#c.voteshare_female_adj [aw=wt] if voteshare_D>=0.5 & abs(voteshare_female_ +> adj)<=`band_D' + 96. local b_rdwtideodistrict_D = _b[female] + 97. local se_rdwtideodistrict_D = _se[female] + 98. drop pscore wt + 99. +. probit female z if voteshare_D<0.5 & abs(voteshare_female_adj)<=`band_R' +100. predict pscore if e(sample)==1 +101. gen wt =1/pscore if female==1 +102. replace wt = 1/(1-pscore) if female==0 +103. reg y female voteshare_female_adj i.female#c.voteshare_female_adj [aw=wt] if voteshare_D<0.5 & abs(voteshare_female_a +> dj)<=`band_R' +104. local b_rdwtideodistrict_R = _b[female] +105. local se_rdwtideodistrict_R = _se[female] +106. drop pscore wt +107. +. * (5b) using ideology of the elected representative +. gen z_elected = z_D if voteshare_D>=0.5 +108. replace z_elected = z_R if voteshare_D<0.5 +109. +. probit female z_elected if abs(voteshare_female_adj)<=`band_all' +110. predict pscore if e(sample)==1 +111. gen wt =1/pscore if female==1 +112. replace wt = 1/(1-pscore) if female==0 +113. reg y female voteshare_female_adj i.female#c.voteshare_female_adj [aw=wt] if abs(voteshare_female_adj)<=`band_all' +114. local b_rdwtideoelected_all = _b[female] +115. local se_rdwtideoelected_all = _se[female] +116. drop pscore wt +117. +. probit female z_elected if voteshare_D>=0.5 & abs(voteshare_female_adj)<=`band_D' +118. predict pscore if e(sample)==1 +119. gen wt =1/pscore if female==1 +120. replace wt = 1/(1-pscore) if female==0 +121. reg y female voteshare_female_adj i.female#c.voteshare_female_adj [aw=wt] if voteshare_D>=0.5 & abs(voteshare_female_ +> adj)<=`band_D' +122. local b_rdwtideoelected_D = _b[female] +123. local se_rdwtideoelected_D = _se[female] +124. drop pscore wt +125. +. probit female z_elected if voteshare_D<0.5 & abs(voteshare_female_adj)<=`band_R' +126. predict pscore if e(sample)==1 +127. gen wt =1/pscore if female==1 +128. replace wt = 1/(1-pscore) if female==0 +129. reg y female voteshare_female_adj i.female#c.voteshare_female_adj [aw=wt] if voteshare_D<0.5 & abs(voteshare_female_a +> dj)<=`band_R' +130. local b_rdwtideoelected_R = _b[female] +131. local se_rdwtideoelected_R = _se[female] +132. drop pscore wt +133. +. * (6-7) Propensity score methods +. gen absMV = abs(voteshare_D-0.5) +134. +. * (6a) pscore - x +. cap teffects ipw (y) (female x absMV, probit), pstolerance(1e-6) osample(osample) +135. teffects ipw (y) (female x absMV, probit) if osample==0, pstolerance(1e-6) +136. drop osample +137. mat b = e(b) +138. mat V = e(V) +139. local b_pscorex_all = b[1,1] +140. local se_pscorex_all = sqrt(V[1,1]) +141. +. cap teffects ipw (y) (female x absMV, probit) if voteshare_D>=0.5, pstolerance(1e-6) osample(osample) +142. teffects ipw (y) (female x absMV, probit) if voteshare_D>=0.5 & osample==0, pstolerance(1e-6) +143. drop osample +144. mat b = e(b) +145. mat V = e(V) +146. local b_pscorex_D = b[1,1] +147. local se_pscorex_D = sqrt(V[1,1]) +148. +. cap teffects ipw (y) (female x absMV, probit) if voteshare_D<0.5, pstolerance(1e-6) osample(osample) +149. teffects ipw (y) (female x absMV, probit) if voteshare_D<0.5 & osample==0, pstolerance(1e-6) +150. drop osample +151. mat b = e(b) +152. mat V = e(V) +153. local b_pscorex_R = b[1,1] +154. local se_pscorex_R = sqrt(V[1,1]) +155. +. +. * (7a) pscore - district ideology +. cap teffects ipw (y) (female z absMV, probit), pstolerance(1e-6) osample(osample) +156. teffects ipw (y) (female z absMV, probit) if osample==0, pstolerance(1e-6) +157. drop osample +158. mat b = e(b) +159. mat V = e(V) +160. local b_pscoreideodistrict_all = b[1,1] +161. local se_pscoreideodistrict_all = sqrt(V[1,1]) +162. +. cap teffects ipw (y) (female z absMV, probit) if voteshare_D>=0.5, pstolerance(1e-6) osample(osample) +163. teffects ipw (y) (female z absMV, probit) if voteshare_D>=0.5 & osample==0, pstolerance(1e-6) +164. drop osample +165. mat b = e(b) +166. mat V = e(V) +167. local b_pscoreideodistrict_D = b[1,1] +168. local se_pscoreideodistrict_D = sqrt(V[1,1]) +169. +. cap teffects ipw (y) (female z absMV, probit) if voteshare_D<0.5, pstolerance(1e-6) osample(osample) +170. teffects ipw (y) (female z absMV, probit) if voteshare_D<0.5 & osample==0, pstolerance(1e-6) +171. drop osample +172. mat b = e(b) +173. mat V = e(V) +174. local b_pscoreideodistrict_R = b[1,1] +175. local se_pscoreideodistrict_R = sqrt(V[1,1]) +176. +. +. * (7b) pscore - elected representative ideology +. cap teffects ipw (y) (female z_elected absMV, probit), pstolerance(1e-6) osample(osample) +177. teffects ipw (y) (female z_elected absMV, probit) if osample==0, pstolerance(1e-6) +178. drop osample +179. mat b = e(b) +180. mat V = e(V) +181. local b_pscoreideoelected_all = b[1,1] +182. local se_pscoreideoelected_all = sqrt(V[1,1]) +183. +. cap teffects ipw (y) (female z_elected absMV, probit) if voteshare_D>=0.5, pstolerance(1e-6) osample(osample) +184. teffects ipw (y) (female z_elected absMV, probit) if voteshare_D>=0.5 & osample==0, pstolerance(1e-6) +185. drop osample +186. mat b = e(b) +187. mat V = e(V) +188. local b_pscoreideoelected_D = b[1,1] +189. local se_pscoreideoelected_D = sqrt(V[1,1]) +190. +. cap teffects ipw (y) (female z_elected absMV, probit) if voteshare_D<0.5, pstolerance(1e-6) osample(osample) +191. teffects ipw (y) (female z_elected absMV, probit) if voteshare_D<0.5 & osample==0, pstolerance(1e-6) +192. drop osample +193. mat b = e(b) +194. mat V = e(V) +195. local b_pscoreideoelected_R = b[1,1] +196. local se_pscoreideoelected_R = sqrt(V[1,1]) +197. +. +. * (8) OLS +. reg y female +198. local b_ols_all =_b[female] +199. local se_ols_all = _se[female] +200. +. reg y female if voteshare_D>=0.5 +201. local b_ols_D = _b[female] +202. local se_ols_D = _se[female] +203. +. reg y female if voteshare_D<0.5 +204. local b_ols_R = _b[female] +205. local se_ols_R = _se[female] +206. +. * (9) Return +. return scalar denstest_pval_all = `denstest_pval_all' +207. return scalar denstest_pval_D = `denstest_pval_D' +208. return scalar denstest_pval_R = `denstest_pval_R' +209. +. return scalar b_ideology_all = `b_ideology_all' +210. return scalar se_ideology_all = `se_ideology_all' +211. return scalar b_ideology_D = `b_ideology_D' +212. return scalar se_ideology_D = `se_ideology_D' +213. return scalar b_ideology_R = `b_ideology_R' +214. return scalar se_ideology_R = `se_ideology_R' +215. +. return scalar b_rd_all = `b_rd_all' +216. return scalar se_rd_all = `se_rd_all' +217. return scalar b_rd_D = `b_rd_D' +218. return scalar se_rd_D = `se_rd_D' +219. return scalar b_rd_R = `b_rd_R' +220. return scalar se_rd_R = `se_rd_R' +221. +. return scalar b_rdwt_all = `b_rdwt_all' +222. return scalar se_rdwt_all = `se_rdwt_all' +223. return scalar b_rdwt_D = `b_rdwt_D' +224. return scalar se_rdwt_D = `se_rdwt_D' +225. return scalar b_rdwt_R = `b_rdwt_R' +226. return scalar se_rdwt_R = `se_rdwt_R' +227. +. return scalar b_rdwtideodistrict_all = `b_rdwtideodistrict_all' +228. return scalar se_rdwtideodistrict_all = `se_rdwtideodistrict_all' +229. return scalar b_rdwtideodistrict_D = `b_rdwtideodistrict_D' +230. return scalar se_rdwtideodistrict_D = `se_rdwtideodistrict_D' +231. return scalar b_rdwtideodistrict_R = `b_rdwtideodistrict_R' +232. return scalar se_rdwtideodistrict_R = `se_rdwtideodistrict_R' +233. +. return scalar b_rdwtideoelected_all = `b_rdwtideoelected_all' +234. return scalar se_rdwtideoelected_all = `se_rdwtideoelected_all' +235. return scalar b_rdwtideoelected_D = `b_rdwtideoelected_D' +236. return scalar se_rdwtideoelected_D = `se_rdwtideoelected_D' +237. return scalar b_rdwtideoelected_R = `b_rdwtideoelected_R' +238. return scalar se_rdwtideoelected_R = `se_rdwtideoelected_R' +239. +. return scalar b_pscorex_all = `b_pscorex_all' +240. return scalar se_pscorex_all = `se_pscorex_all' +241. return scalar b_pscorex_D = `b_pscorex_D' +242. return scalar se_pscorex_D = `se_pscorex_D' +243. return scalar b_pscorex_R = `b_pscorex_R' +244. return scalar se_pscorex_R = `se_pscorex_R' +245. +. return scalar b_pscoreideodistrict_all = `b_pscoreideodistrict_all' +246. return scalar se_pscoreideodistrict_all = `se_pscoreideodistrict_all' +247. return scalar b_pscoreideodistrict_D = `b_pscoreideodistrict_D' +248. return scalar se_pscoreideodistrict_D = `se_pscoreideodistrict_D' +249. return scalar b_pscoreideodistrict_R = `b_pscoreideodistrict_R' +250. return scalar se_pscoreideodistrict_R = `se_pscoreideodistrict_R' +251. +. return scalar b_pscoreideoelected_all = `b_pscoreideoelected_all' +252. return scalar se_pscoreideoelected_all = `se_pscoreideoelected_all' +253. return scalar b_pscoreideoelected_D = `b_pscoreideoelected_D' +254. return scalar se_pscoreideoelected_D = `se_pscoreideoelected_D' +255. return scalar b_pscoreideoelected_R = `b_pscoreideoelected_R' +256. return scalar se_pscoreideoelected_R = `se_pscoreideoelected_R' +257. +. return scalar b_ols_all = `b_ols_all' +258. return scalar se_ols_all = `se_ols_all' +259. return scalar b_ols_D = `b_ols_D' +260. return scalar se_ols_D = `se_ols_D' +261. return scalar b_ols_R = `b_ols_R' +262. return scalar se_ols_R = `se_ols_R' +263. +. end + +. +. +. ******************************************************************************** +. ******************************************************************************** +. ******************************************************************************** +. +. * Now actually run the simulations +. +. set seed 1234567 + +. +. * Run one simulation as a test +. rd_sim, beta_a(5) beta_b(5) kappa_ksi_R(0.4) kappa_ksi_D(0.4) kappa_u(1) tau1(-5) rho_x(0.6) nobs(100000) /* +> */ gamma2(0.0) gamma3(0.6) phi1_D(-1) phi1_R(-1) +number of observations (_N) was 0, now 100,000 +(79,715 missing values generated) +(8,263 real changes made) +(53,038 missing values generated) +(53,038 real changes made) +Computing data-driven bandwidth selectors. + +RD Manipulation Test using local polynomial density estimation. + + Cutoff c = .5 |Left of c Right of c Number of obs = 28548 +-------------------+---------------------- Model = unrestricted + Number of obs | 11425 17123 BW method = comb +Eff. Number of obs | 4542 4450 Kernel = triangular + Order est. (p) | 2 2 VCE method = jackknife + Order bias (q) | 3 3 + BW est. (h) | 0.096 0.083 + +Running variable: voteshare_female. +----------------------------------------------- + Method | T P>|T| +-------------------+--------------------------- + Robust | -0.2326 0.8161 +----------------------------------------------- + +Computing data-driven bandwidth selectors. + +RD Manipulation Test using local polynomial density estimation. + + Cutoff c = .5 |Left of c Right of c Number of obs = 13774 +-------------------+---------------------- Model = unrestricted + Number of obs | 2457 11317 BW method = comb +Eff. Number of obs | 1616 6492 Kernel = triangular + Order est. (p) | 2 2 VCE method = jackknife + Order bias (q) | 3 3 + BW est. (h) | 0.141 0.174 + +Running variable: voteshare_female. +----------------------------------------------- + Method | T P>|T| +-------------------+--------------------------- + Robust | 9.4265 0.0000 +----------------------------------------------- + +Computing data-driven bandwidth selectors. + +RD Manipulation Test using local polynomial density estimation. + + Cutoff c = .5 |Left of c Right of c Number of obs = 14774 +-------------------+---------------------- Model = unrestricted + Number of obs | 8968 5806 BW method = comb +Eff. Number of obs | 6647 2312 Kernel = triangular + Order est. (p) | 2 2 VCE method = jackknife + Order bias (q) | 3 3 + BW est. (h) | 0.211 0.148 + +Running variable: voteshare_female. +----------------------------------------------- + Method | T P>|T| +-------------------+--------------------------- + Robust | -12.2099 0.0000 +----------------------------------------------- + + +Sharp RD estimates using local polynomial regression. + + Cutoff c = .5 | Left of c Right of c Number of obs = 28548 +-------------------+---------------------- BW type = mserd + Number of obs | 11425 17123 Kernel = Uniform +Eff. Number of obs | 2276 2402 VCE method = NN + Order est. (p) | 1 1 + Order bias (q) | 2 2 + BW est. (h) | 0.046 0.046 + BW bias (b) | 0.092 0.092 + rho (h/b) | 0.494 0.494 + +Outcome: z. Running variable: voteshare_female. +-------------------------------------------------------------------------------- + Method | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------------+------------------------------------------------------------ + Conventional | .01881 .00924 2.0343 0.042 .000687 .036923 + Robust | - - 2.1139 0.035 .001606 .042517 +-------------------------------------------------------------------------------- + +Sharp RD estimates using local polynomial regression. + + Cutoff c = .5 | Left of c Right of c Number of obs = 13774 +-------------------+---------------------- BW type = mserd + Number of obs | 2457 11317 Kernel = Uniform +Eff. Number of obs | 865 2430 VCE method = NN + Order est. (p) | 1 1 + Order bias (q) | 2 2 + BW est. (h) | 0.064 0.064 + BW bias (b) | 0.117 0.117 + rho (h/b) | 0.542 0.542 + +Outcome: z. Running variable: voteshare_female. +-------------------------------------------------------------------------------- + Method | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------------+------------------------------------------------------------ + Conventional | .21122 .00972 21.7324 0.000 .19217 .230268 + Robust | - - 18.9852 0.000 .191766 .235919 +-------------------------------------------------------------------------------- + +Sharp RD estimates using local polynomial regression. + + Cutoff c = .5 | Left of c Right of c Number of obs = 14774 +-------------------+---------------------- BW type = mserd + Number of obs | 8968 5806 Kernel = Uniform +Eff. Number of obs | 2902 1272 VCE method = NN + Order est. (p) | 1 1 + Order bias (q) | 2 2 + BW est. (h) | 0.082 0.082 + BW bias (b) | 0.150 0.150 + rho (h/b) | 0.546 0.546 + +Outcome: z. Running variable: voteshare_female. +-------------------------------------------------------------------------------- + Method | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------------+------------------------------------------------------------ + Conventional | -.1981 .00825 -24.0035 0.000 -.214271 -.181921 + Robust | - - -20.4356 0.000 -.215066 -.177422 +-------------------------------------------------------------------------------- + +Sharp RD estimates using local polynomial regression. + + Cutoff c = .5 | Left of c Right of c Number of obs = 28548 +-------------------+---------------------- BW type = mserd + Number of obs | 11425 17123 Kernel = Uniform +Eff. Number of obs | 4706 5401 VCE method = NN + Order est. (p) | 1 1 + Order bias (q) | 2 2 + BW est. (h) | 0.100 0.100 + BW bias (b) | 0.191 0.191 + rho (h/b) | 0.524 0.524 + +Outcome: y. Running variable: voteshare_female. +-------------------------------------------------------------------------------- + Method | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------------+------------------------------------------------------------ + Conventional | .17703 .04336 4.0823 0.000 .092034 .262018 + Robust | - - 3.3005 0.001 .06695 .262722 +-------------------------------------------------------------------------------- + +Sharp RD estimates using local polynomial regression. + + Cutoff c = .5 | Left of c Right of c Number of obs = 13774 +-------------------+---------------------- BW type = mserd + Number of obs | 2457 11317 Kernel = Uniform +Eff. Number of obs | 877 2480 VCE method = NN + Order est. (p) | 1 1 + Order bias (q) | 2 2 + BW est. (h) | 0.065 0.065 + BW bias (b) | 0.116 0.116 + rho (h/b) | 0.556 0.556 + +Outcome: y. Running variable: voteshare_female. +-------------------------------------------------------------------------------- + Method | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------------+------------------------------------------------------------ + Conventional | .30989 .07991 3.8780 0.000 .153269 .466501 + Robust | - - 3.3339 0.001 .128186 .493912 +-------------------------------------------------------------------------------- + +Sharp RD estimates using local polynomial regression. + + Cutoff c = .5 | Left of c Right of c Number of obs = 14774 +-------------------+---------------------- BW type = mserd + Number of obs | 8968 5806 Kernel = Uniform +Eff. Number of obs | 3626 1624 VCE method = NN + Order est. (p) | 1 1 + Order bias (q) | 2 2 + BW est. (h) | 0.105 0.105 + BW bias (b) | 0.183 0.183 + rho (h/b) | 0.570 0.570 + +Outcome: y. Running variable: voteshare_female. +-------------------------------------------------------------------------------- + Method | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------------+------------------------------------------------------------ + Conventional | .38502 .06756 5.6986 0.000 .252596 .517445 + Robust | - - 4.7213 0.000 .220178 .532734 +-------------------------------------------------------------------------------- +(53,038 missing values generated) +(53,038 real changes made) +(71,452 missing values generated) + +Iteration 0: log likelihood = -6981.7241 +Iteration 1: log likelihood = -6951.2533 +Iteration 2: log likelihood = -6951.2526 + +Probit regression Number of obs = 10,107 + LR chi2(1) = 60.94 + Prob > chi2 = 0.0000 +Log likelihood = -6951.2526 Pseudo R2 = 0.0044 + +------------------------------------------------------------------------------ + female | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + x | -.2242047 .0287728 -7.79 0.000 -.2805985 -.167811 + _cons | .0713183 .01265 5.64 0.000 .0465247 .096112 +------------------------------------------------------------------------------ +(option pr assumed; Pr(female)) +(89,893 missing values generated) +(94,599 missing values generated) +(4,706 real changes made) +(sum of wgt is 20,214.6489137411) + + Source | SS df MS Number of obs = 10,107 +-------------+---------------------------------- F(3, 10103) = 50.64 + Model | 187.805303 3 62.6017676 Prob > F = 0.0000 + Residual | 12490.6152 10,103 1.23632735 R-squared = 0.0148 +-------------+---------------------------------- Adj R-squared = 0.0145 + Total | 12678.4205 10,106 1.25454389 Root MSE = 1.1119 + +----------------------------------------------------------------------------------------------- + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------------+---------------------------------------------------------------- + female | .1790657 .0441612 4.05 0.000 .0925009 .2656304 + voteshare_female_adj | 3.49646 .5498583 6.36 0.000 2.418628 4.574291 + | +female#c.voteshare_female_adj | + 1 | -6.327224 .7751752 -8.16 0.000 -7.846721 -4.807726 + | + _cons | -1.053456 .0306655 -34.35 0.000 -1.113566 -.9933454 +----------------------------------------------------------------------------------------------- + +Iteration 0: log likelihood = -1928.1107 +Iteration 1: log likelihood = -1873.3101 +Iteration 2: log likelihood = -1873.185 +Iteration 3: log likelihood = -1873.185 + +Probit regression Number of obs = 3,357 + LR chi2(1) = 109.85 + Prob > chi2 = 0.0000 +Log likelihood = -1873.185 Pseudo R2 = 0.0285 + +------------------------------------------------------------------------------ + female | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + x | .5779435 .0559194 10.34 0.000 .4683435 .6875434 + _cons | .7216682 .02523 28.60 0.000 .6722182 .7711181 +------------------------------------------------------------------------------ +(option pr assumed; Pr(female)) +(96,643 missing values generated) +(97,520 missing values generated) +(877 real changes made) +(sum of wgt is 6,720.2024409771) + + Source | SS df MS Number of obs = 3,357 +-------------+---------------------------------- F(3, 3353) = 40.34 + Model | 137.824493 3 45.9414975 Prob > F = 0.0000 + Residual | 3819.03649 3,353 1.1389909 R-squared = 0.0348 +-------------+---------------------------------- Adj R-squared = 0.0340 + Total | 3956.86098 3,356 1.17904082 Root MSE = 1.0672 + +----------------------------------------------------------------------------------------------- + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------------+---------------------------------------------------------------- + female | .2391887 .0731368 3.27 0.001 .0957915 .3825858 + voteshare_female_adj | 6.730832 1.420563 4.74 0.000 3.945575 9.51609 + | +female#c.voteshare_female_adj | + 1 | -9.26479 1.998233 -4.64 0.000 -13.18267 -5.346911 + | + _cons | -1.28681 .0502905 -25.59 0.000 -1.385413 -1.188207 +----------------------------------------------------------------------------------------------- + +Iteration 0: log likelihood = -3247.4726 +Iteration 1: log likelihood = -3140.023 +Iteration 2: log likelihood = -3139.7697 +Iteration 3: log likelihood = -3139.7697 + +Probit regression Number of obs = 5,250 + LR chi2(1) = 215.41 + Prob > chi2 = 0.0000 +Log likelihood = -3139.7697 Pseudo R2 = 0.0332 + +------------------------------------------------------------------------------ + female | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + x | -.6302892 .0436688 -14.43 0.000 -.7158785 -.5446999 + _cons | -.5169234 .0184664 -27.99 0.000 -.5531169 -.48073 +------------------------------------------------------------------------------ +(option pr assumed; Pr(female)) +(94,750 missing values generated) +(98,376 missing values generated) +(3,626 real changes made) +(sum of wgt is 10,493.3287761211) + + Source | SS df MS Number of obs = 5,250 +-------------+---------------------------------- F(3, 5246) = 80.20 + Model | 289.800995 3 96.6003318 Prob > F = 0.0000 + Residual | 6318.79316 5,246 1.20449736 R-squared = 0.0439 +-------------+---------------------------------- Adj R-squared = 0.0433 + Total | 6608.59416 5,249 1.25901965 Root MSE = 1.0975 + +----------------------------------------------------------------------------------------------- + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------------+---------------------------------------------------------------- + female | .3238472 .0613624 5.28 0.000 .2035514 .4441429 + voteshare_female_adj | 4.019918 .7209864 5.58 0.000 2.606484 5.433351 + | +female#c.voteshare_female_adj | + 1 | -5.789812 1.014731 -5.71 0.000 -7.779108 -3.800516 + | + _cons | -.8827833 .042444 -20.80 0.000 -.9659913 -.7995753 +----------------------------------------------------------------------------------------------- + +Iteration 0: log likelihood = -6981.7241 +Iteration 1: log likelihood = -6766.6773 +Iteration 2: log likelihood = -6766.5767 +Iteration 3: log likelihood = -6766.5767 + +Probit regression Number of obs = 10,107 + LR chi2(1) = 430.29 + Prob > chi2 = 0.0000 +Log likelihood = -6766.5767 Pseudo R2 = 0.0308 + +------------------------------------------------------------------------------ + female | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + z | -1.548366 .0753098 -20.56 0.000 -1.695971 -1.400762 + _cons | -.0210697 .0137312 -1.53 0.125 -.0479824 .005843 +------------------------------------------------------------------------------ +(option pr assumed; Pr(female)) +(89,893 missing values generated) +(94,599 missing values generated) +(4,706 real changes made) +(sum of wgt is 20,287.421734333) + + Source | SS df MS Number of obs = 10,107 +-------------+---------------------------------- F(3, 10103) = 67.11 + Model | 249.486839 3 83.1622798 Prob > F = 0.0000 + Residual | 12520.037 10,103 1.23923954 R-squared = 0.0195 +-------------+---------------------------------- Adj R-squared = 0.0192 + Total | 12769.5239 10,106 1.26355867 Root MSE = 1.1132 + +----------------------------------------------------------------------------------------------- + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------------+---------------------------------------------------------------- + female | .2038768 .0438181 4.65 0.000 .1179846 .289769 + voteshare_female_adj | 3.78766 .5450131 6.95 0.000 2.719326 4.855994 + | +female#c.voteshare_female_adj | + 1 | -6.416113 .7743803 -8.29 0.000 -7.934053 -4.898174 + | + _cons | -1.075339 .0302393 -35.56 0.000 -1.134614 -1.016064 +----------------------------------------------------------------------------------------------- + +Iteration 0: log likelihood = -1928.1107 +Iteration 1: log likelihood = -1281.905 +Iteration 2: log likelihood = -1263.1586 +Iteration 3: log likelihood = -1263.1137 +Iteration 4: log likelihood = -1263.1137 + +Probit regression Number of obs = 3,357 + LR chi2(1) = 1329.99 + Prob > chi2 = 0.0000 +Log likelihood = -1263.1137 Pseudo R2 = 0.3449 + +------------------------------------------------------------------------------ + female | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + z | 7.45897 .2632765 28.33 0.000 6.942958 7.974983 + _cons | 1.782859 .0538128 33.13 0.000 1.677387 1.88833 +------------------------------------------------------------------------------ +(option pr assumed; Pr(female)) +(96,643 missing values generated) +(97,520 missing values generated) +(877 real changes made) +(sum of wgt is 6,601.97004258633) + + Source | SS df MS Number of obs = 3,357 +-------------+---------------------------------- F(3, 3353) = 113.58 + Model | 473.42905 3 157.809683 Prob > F = 0.0000 + Residual | 4658.88463 3,353 1.38946753 R-squared = 0.0922 +-------------+---------------------------------- Adj R-squared = 0.0914 + Total | 5132.31368 3,356 1.5292949 Root MSE = 1.1788 + +----------------------------------------------------------------------------------------------- + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------------+---------------------------------------------------------------- + female | -.8010879 .0776224 -10.32 0.000 -.95328 -.6488957 + voteshare_female_adj | 26.79953 1.647739 16.26 0.000 23.56886 30.03021 + | +female#c.voteshare_female_adj | + 1 | -31.49241 2.269822 -13.87 0.000 -35.94279 -27.04204 + | + _cons | -.2748449 .0480455 -5.72 0.000 -.3690463 -.1806435 +----------------------------------------------------------------------------------------------- + +Iteration 0: log likelihood = -3247.4726 +Iteration 1: log likelihood = -2177.4657 +Iteration 2: log likelihood = -2157.7399 +Iteration 3: log likelihood = -2157.6885 +Iteration 4: log likelihood = -2157.6885 + +Probit regression Number of obs = 5,250 + LR chi2(1) = 2179.57 + Prob > chi2 = 0.0000 +Log likelihood = -2157.6885 Pseudo R2 = 0.3356 + +------------------------------------------------------------------------------ + female | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + z | -7.050879 .1910416 -36.91 0.000 -7.425313 -6.676444 + _cons | -.761176 .0241247 -31.55 0.000 -.8084597 -.7138924 +------------------------------------------------------------------------------ +(option pr assumed; Pr(female)) +(94,750 missing values generated) +(98,376 missing values generated) +(3,626 real changes made) +(sum of wgt is 9,916.98720681667) + + Source | SS df MS Number of obs = 5,250 +-------------+---------------------------------- F(3, 5246) = 22.35 + Model | 80.5451924 3 26.8483975 Prob > F = 0.0000 + Residual | 6301.88062 5,246 1.20127347 R-squared = 0.0126 +-------------+---------------------------------- Adj R-squared = 0.0121 + Total | 6382.42581 5,249 1.21593176 Root MSE = 1.096 + +----------------------------------------------------------------------------------------------- + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------------+---------------------------------------------------------------- + female | -.1412228 .0656338 -2.15 0.031 -.2698925 -.0125531 + voteshare_female_adj | 5.60666 .7105497 7.89 0.000 4.213687 6.999633 + | +female#c.voteshare_female_adj | + 1 | -7.078208 1.032095 -6.86 0.000 -9.101542 -5.054873 + | + _cons | -.6806511 .0395773 -17.20 0.000 -.7582391 -.6030632 +----------------------------------------------------------------------------------------------- +(53,038 missing values generated) +(53,038 real changes made) + +Iteration 0: log likelihood = -6981.7241 +Iteration 1: log likelihood = -5980.4518 +Iteration 2: log likelihood = -5977.6212 +Iteration 3: log likelihood = -5977.6211 + +Probit regression Number of obs = 10,107 + LR chi2(1) = 2008.21 + Prob > chi2 = 0.0000 +Log likelihood = -5977.6211 Pseudo R2 = 0.1438 + +------------------------------------------------------------------------------ + female | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + z_elected | -1.966812 .045237 -43.48 0.000 -2.055475 -1.878149 + _cons | .013832 .0134134 1.03 0.302 -.0124578 .0401218 +------------------------------------------------------------------------------ +(option pr assumed; Pr(female)) +(89,893 missing values generated) +(94,599 missing values generated) +(4,706 real changes made) +(sum of wgt is 20,518.418389678) + + Source | SS df MS Number of obs = 10,107 +-------------+---------------------------------- F(3, 10103) = 150.17 + Model | 560.363323 3 186.787774 Prob > F = 0.0000 + Residual | 12566.9037 10,103 1.24387843 R-squared = 0.0427 +-------------+---------------------------------- Adj R-squared = 0.0424 + Total | 13127.2671 10,106 1.29895775 Root MSE = 1.1153 + +----------------------------------------------------------------------------------------------- + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------------+---------------------------------------------------------------- + female | .3842837 .0443558 8.66 0.000 .2973376 .4712298 + voteshare_female_adj | 3.593301 .5352517 6.71 0.000 2.544102 4.642501 + | +female#c.voteshare_female_adj | + 1 | -5.895505 .7765012 -7.59 0.000 -7.417602 -4.373408 + | + _cons | -1.211042 .0297287 -40.74 0.000 -1.269316 -1.152768 +----------------------------------------------------------------------------------------------- + +Iteration 0: log likelihood = -1928.1107 +Iteration 1: log likelihood = -1582.7553 +Iteration 2: log likelihood = -1577.0181 +Iteration 3: log likelihood = -1577.0028 +Iteration 4: log likelihood = -1577.0028 + +Probit regression Number of obs = 3,357 + LR chi2(1) = 702.22 + Prob > chi2 = 0.0000 +Log likelihood = -1577.0028 Pseudo R2 = 0.1821 + +------------------------------------------------------------------------------ + female | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + z_elected | 7.424029 .3122823 23.77 0.000 6.811967 8.036092 + _cons | 3.047743 .1073644 28.39 0.000 2.837312 3.258173 +------------------------------------------------------------------------------ +(option pr assumed; Pr(female)) +(96,643 missing values generated) +(97,520 missing values generated) +(877 real changes made) +(sum of wgt is 6,804.29840457439) + + Source | SS df MS Number of obs = 3,357 +-------------+---------------------------------- F(3, 3353) = 44.02 + Model | 169.308457 3 56.4361525 Prob > F = 0.0000 + Residual | 4298.41264 3,353 1.28196023 R-squared = 0.0379 +-------------+---------------------------------- Adj R-squared = 0.0370 + Total | 4467.7211 3,356 1.33126374 Root MSE = 1.1322 + +----------------------------------------------------------------------------------------------- + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------------+---------------------------------------------------------------- + female | -.4555395 .0759791 -6.00 0.000 -.6045096 -.3065693 + voteshare_female_adj | 16.09478 1.526685 10.54 0.000 13.10145 19.08811 + | +female#c.voteshare_female_adj | + 1 | -19.83904 2.143949 -9.25 0.000 -24.04262 -15.63546 + | + _cons | -.6459713 .0492403 -13.12 0.000 -.7425155 -.5494272 +----------------------------------------------------------------------------------------------- + +Iteration 0: log likelihood = -3247.4726 +Iteration 1: log likelihood = -2601.4659 +Iteration 2: log likelihood = -2590.7262 +Iteration 3: log likelihood = -2590.6931 +Iteration 4: log likelihood = -2590.6931 + +Probit regression Number of obs = 5,250 + LR chi2(1) = 1313.56 + Prob > chi2 = 0.0000 +Log likelihood = -2590.6931 Pseudo R2 = 0.2022 + +------------------------------------------------------------------------------ + female | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + z_elected | -7.803128 .2421683 -32.22 0.000 -8.277769 -7.328487 + _cons | 1.301318 .057368 22.68 0.000 1.188879 1.413757 +------------------------------------------------------------------------------ +(option pr assumed; Pr(female)) +(94,750 missing values generated) +(98,376 missing values generated) +(3,626 real changes made) +(sum of wgt is 10,386.6651585102) + + Source | SS df MS Number of obs = 5,250 +-------------+---------------------------------- F(3, 5246) = 16.62 + Model | 60.5009911 3 20.166997 Prob > F = 0.0000 + Residual | 6365.06871 5,246 1.21331847 R-squared = 0.0094 +-------------+---------------------------------- Adj R-squared = 0.0088 + Total | 6425.5697 5,249 1.22415121 Root MSE = 1.1015 + +----------------------------------------------------------------------------------------------- + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------------+---------------------------------------------------------------- + female | -.1881821 .0631898 -2.98 0.003 -.3120603 -.0643038 + voteshare_female_adj | 5.023627 .7198774 6.98 0.000 3.612368 6.434887 + | +female#c.voteshare_female_adj | + 1 | -5.630045 1.02352 -5.50 0.000 -7.636571 -3.62352 + | + _cons | -.6938864 .0410839 -16.89 0.000 -.774428 -.6133448 +----------------------------------------------------------------------------------------------- + +Iteration 0: EE criterion = 2.162e-28 +Iteration 1: EE criterion = 4.116e-33 + +Treatment-effects estimation Number of obs = 100,000 +Estimator : inverse-probability weights +Outcome model : weighted mean +Treatment model: probit +------------------------------------------------------------------------------ + | Robust + y | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- +ATE | + female | + (1 vs 0) | .185551 .009143 20.29 0.000 .1676311 .2034709 +-------------+---------------------------------------------------------------- +POmean | + female | + 0 | -1.51444 .0040466 -374.25 0.000 -1.522371 -1.506509 +------------------------------------------------------------------------------ + +Iteration 0: EE criterion = 5.545e-18 +Iteration 1: EE criterion = 2.076e-33 + +Treatment-effects estimation Number of obs = 46,962 +Estimator : inverse-probability weights +Outcome model : weighted mean +Treatment model: probit +------------------------------------------------------------------------------ + | Robust + y | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- +ATE | + female | + (1 vs 0) | -.0620271 .0113967 -5.44 0.000 -.0843642 -.03969 +-------------+---------------------------------------------------------------- +POmean | + female | + 0 | -1.499856 .0061075 -245.58 0.000 -1.511827 -1.487886 +------------------------------------------------------------------------------ + +Iteration 0: EE criterion = 2.364e-23 +Iteration 1: EE criterion = 1.410e-32 + +Treatment-effects estimation Number of obs = 53,038 +Estimator : inverse-probability weights +Outcome model : weighted mean +Treatment model: probit +------------------------------------------------------------------------------ + | Robust + y | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- +ATE | + female | + (1 vs 0) | .4934254 .015274 32.30 0.000 .4634889 .5233619 +-------------+---------------------------------------------------------------- +POmean | + female | + 0 | -1.519821 .0053757 -282.72 0.000 -1.530357 -1.509284 +------------------------------------------------------------------------------ + +Iteration 0: EE criterion = 7.198e-22 +Iteration 1: EE criterion = 6.738e-33 + +Treatment-effects estimation Number of obs = 100,000 +Estimator : inverse-probability weights +Outcome model : weighted mean +Treatment model: probit +------------------------------------------------------------------------------ + | Robust + y | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- +ATE | + female | + (1 vs 0) | .1960373 .0094185 20.81 0.000 .1775775 .2144971 +-------------+---------------------------------------------------------------- +POmean | + female | + 0 | -1.527443 .004071 -375.20 0.000 -1.535422 -1.519464 +------------------------------------------------------------------------------ + +Iteration 0: EE criterion = 4.047e-18 +Iteration 1: EE criterion = 2.312e-32 + +Treatment-effects estimation Number of obs = 46,962 +Estimator : inverse-probability weights +Outcome model : weighted mean +Treatment model: probit +------------------------------------------------------------------------------ + | Robust + y | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- +ATE | + female | + (1 vs 0) | -.0158669 .0108021 -1.47 0.142 -.0370386 .0053048 +-------------+---------------------------------------------------------------- +POmean | + female | + 0 | -1.51214 .0060289 -250.82 0.000 -1.523956 -1.500323 +------------------------------------------------------------------------------ + +Iteration 0: EE criterion = 2.425e-27 +Iteration 1: EE criterion = 1.683e-31 + +Treatment-effects estimation Number of obs = 52,919 +Estimator : inverse-probability weights +Outcome model : weighted mean +Treatment model: probit +------------------------------------------------------------------------------ + | Robust + y | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- +ATE | + female | + (1 vs 0) | -.1946729 .0624661 -3.12 0.002 -.3171042 -.0722417 +-------------+---------------------------------------------------------------- +POmean | + female | + 0 | -1.45934 .0055571 -262.61 0.000 -1.470232 -1.448448 +------------------------------------------------------------------------------ + +Iteration 0: EE criterion = 1.047e-24 +Iteration 1: EE criterion = 3.916e-33 + +Treatment-effects estimation Number of obs = 100,000 +Estimator : inverse-probability weights +Outcome model : weighted mean +Treatment model: probit +------------------------------------------------------------------------------ + | Robust + y | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- +ATE | + female | + (1 vs 0) | .2416772 .0092623 26.09 0.000 .2235235 .2598309 +-------------+---------------------------------------------------------------- +POmean | + female | + 0 | -1.519808 .0040542 -374.88 0.000 -1.527754 -1.511862 +------------------------------------------------------------------------------ + +Iteration 0: EE criterion = 3.676e-18 +Iteration 1: EE criterion = 4.791e-33 + +Treatment-effects estimation Number of obs = 46,962 +Estimator : inverse-probability weights +Outcome model : weighted mean +Treatment model: probit +------------------------------------------------------------------------------ + | Robust + y | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- +ATE | + female | + (1 vs 0) | -.000495 .0106006 -0.05 0.963 -.0212719 .0202818 +-------------+---------------------------------------------------------------- +POmean | + female | + 0 | -1.515822 .0060067 -252.36 0.000 -1.527595 -1.504049 +------------------------------------------------------------------------------ + +Iteration 0: EE criterion = 9.684e-16 +Iteration 1: EE criterion = 8.458e-28 + +Treatment-effects estimation Number of obs = 53,038 +Estimator : inverse-probability weights +Outcome model : weighted mean +Treatment model: probit +------------------------------------------------------------------------------ + | Robust + y | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- +ATE | + female | + (1 vs 0) | -.1050439 .0401988 -2.61 0.009 -.183832 -.0262557 +-------------+---------------------------------------------------------------- +POmean | + female | + 0 | -1.458219 .0054927 -265.48 0.000 -1.468984 -1.447453 +------------------------------------------------------------------------------ + + Source | SS df MS Number of obs = 100,000 +-------------+---------------------------------- F(1, 99998) = 115.72 + Model | 155.270531 1 155.270531 Prob > F = 0.0000 + Residual | 134179.437 99,998 1.3418212 R-squared = 0.0012 +-------------+---------------------------------- Adj R-squared = 0.0011 + Total | 134334.707 99,999 1.34336051 Root MSE = 1.1584 + +------------------------------------------------------------------------------ + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + female | .0988518 .0091894 10.76 0.000 .0808406 .1168629 + _cons | -1.501196 .0040908 -366.97 0.000 -1.509214 -1.493178 +------------------------------------------------------------------------------ + + Source | SS df MS Number of obs = 46,962 +-------------+---------------------------------- F(1, 46960) = 81.37 + Model | 107.755058 1 107.755058 Prob > F = 0.0000 + Residual | 62185.463 46,960 1.32422196 R-squared = 0.0017 +-------------+---------------------------------- Adj R-squared = 0.0017 + Total | 62293.2181 46,961 1.32648832 Root MSE = 1.1507 + +------------------------------------------------------------------------------ + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + female | -.1088381 .0120654 -9.02 0.000 -.1324866 -.0851897 + _cons | -1.487199 .0061843 -240.48 0.000 -1.499321 -1.475078 +------------------------------------------------------------------------------ + + Source | SS df MS Number of obs = 53,038 +-------------+---------------------------------- F(1, 53036) = 886.34 + Model | 1182.47024 1 1182.47024 Prob > F = 0.0000 + Residual | 70755.5305 53,036 1.33410383 R-squared = 0.0164 +-------------+---------------------------------- Adj R-squared = 0.0164 + Total | 71938.0008 53,037 1.35637387 Root MSE = 1.155 + +------------------------------------------------------------------------------ + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + female | .4290223 .0144105 29.77 0.000 .4007775 .457267 + _cons | -1.511833 .0054114 -279.38 0.000 -1.522439 -1.501226 +------------------------------------------------------------------------------ + +. +. fulijhkjhk +command fulijhkjhk is unrecognized +r(199); + +end of do-file +r(199); + +end of do-file + +r(199); + +. net search rddensity +(contacting http://www.stata.com) + +2 packages found (Stata Journal and STB listed first) +----------------------------------------------------- + +st0522 from http://www.stata-journal.com/software/sj18-1 + SJ18-1 st0522. Manipulation testing using... / Manipulation testing using + local-polynomial / density estimation / by Matias D. Cattaneo, University + of Michigan, / Ann Arbor, MI / Michael Jansson, University of California + at / Berkeley and CREATES, Berkeley, CA / Xinwei Ma, University of + +rddensity from https://raw.githubusercontent.com/rdpackages/rddensity/master/stata + STATA Package: RDDENSITY / / Authors: Matias D. Cattaneo, Department of + Operations Research and Financial Engineering, Princeton University, + cattaneo@princeton.edu / Michael Jansson, Department of Economics, + UC-Berkeley, mjansson@econ.berkeley.edu / Xinwei Ma, Department of + + +1 reference found in tables of contents +--------------------------------------- + +https://raw.githubusercontent.com/rdpackages/rddensity/master/stata/ + RDDENSITY: Manipulation testing using local polynomial density methods. / + https://rdpackages.github.io/rddensity / / + + + +. net search rddensity +(contacting http://www.stata.com) + +2 packages found (Stata Journal and STB listed first) +----------------------------------------------------- + +st0522 from http://www.stata-journal.com/software/sj18-1 + SJ18-1 st0522. Manipulation testing using... / Manipulation testing using + local-polynomial / density estimation / by Matias D. Cattaneo, University + of Michigan, / Ann Arbor, MI / Michael Jansson, University of California + at / Berkeley and CREATES, Berkeley, CA / Xinwei Ma, University of + +rddensity from https://raw.githubusercontent.com/rdpackages/rddensity/master/stata + STATA Package: RDDENSITY / / Authors: Matias D. Cattaneo, Department of + Operations Research and Financial Engineering, Princeton University, + cattaneo@princeton.edu / Michael Jansson, Department of Economics, + UC-Berkeley, mjansson@econ.berkeley.edu / Xinwei Ma, Department of + + +1 reference found in tables of contents +--------------------------------------- + +https://raw.githubusercontent.com/rdpackages/rddensity/master/stata/ + RDDENSITY: Manipulation testing using local polynomial density methods. / + https://rdpackages.github.io/rddensity / / + + + +. exit, clear diff --git a/30/replication_package/Log/AppendixC_simulations_May2021.log b/30/replication_package/Log/AppendixC_simulations_May2021.log new file mode 100644 index 0000000000000000000000000000000000000000..f54774c0cbd2dc3ed9f7a31c1929b94d0dba2cf1 --- /dev/null +++ b/30/replication_package/Log/AppendixC_simulations_May2021.log @@ -0,0 +1,1288 @@ +--------------------------------------------------------------------------------------------------------------------------------- + name: + log: C:/Users/paserman/Dropbox/Research/GenderCooperativeness/EJ/3 replication package/Log/AppendixC_simulations_May2021. +> log + log type: text + opened on: 10 May 2021, 18:23:16 + +. +. +. cap prog drop rd_sim + +. prog def rd_sim, rclass + 1. version 15.1 + 2. syntax [, nobs(integer 10000) beta_a(real 1.0) beta_b(real 1.0) rho_x(real 0.7) /* +> */ zbar_R(real 0.5) zbar_D(real -0.5) /* +> */ alpha_R(real 0.5) alpha_D(real 0.5) /* +> */ kappa_ksi_R(real 0.0) beta_ksi_R(real 10.0) kappa_ksi_D(real 0.0) beta_ksi_D(real 10.0) /* +> */ phi0_R(real -1.0) phi1_R(real -1.0) phi0_D(real -1.0) phi1_D(real -1.0) /* +> */ kappa_u(real 0.0) beta_u(real 1.0) /* +> */ gamma0(real 0.0) gamma1(real -5.0) gamma2(real 0.0) gamma3(real 0.0)/* +> */ tau0(real 0.3) tau1(real -1.0) tau2(real 0.0)] + 3. drop _all + 4. set obs `nobs' + 5. +. * Overall district ideology +. gen z = 2*(rbeta(`beta_a',`beta_b')-0.5) + 6. gen x = z + (sqrt((1-`rho_x'^2)/`rho_x'^2))*(2*(rbeta(`beta_a',`beta_b')-0.5)) + 7. +. * Ideology of R and candidates: weighted average of national party and local ideology, plus noise +. gen z_R = `alpha_R'*`zbar_R' + (1-`alpha_R')*z + `kappa_ksi_R'*(rbeta(`beta_ksi_R',`beta_ksi_R')-0.5) + 8. gen z_D = `alpha_D'*`zbar_D' + (1-`alpha_D')*z + `kappa_ksi_D'*(rbeta(`beta_ksi_D',`beta_ksi_D')-0.5) + 9. +. * Gender is correlated with candidate ideology +. gen byte female_D = rnormal(`phi0_D' + `phi1_D'*z_D)>0 + 10. gen byte female_R = rnormal(`phi0_R' + `phi1_R'*z_R)>0 + 11. +. * Voteshare depends on ideology of the candidates plus noise +. gen u = `kappa_u'*(rbeta(`beta_u', `beta_u')-0.5) + 12. gen voteshare_D = (exp(`gamma0' + `gamma1'*(z - (z_D+z_R)/2) + `gamma2'*female_D - `gamma3'*female_R + u)/ /* +> */ (1+ exp(`gamma0' + `gamma1'*(z - (z_D+z_R)/2) + `gamma2'*female_D - `gamma3'*female_R + u ))) + 13. +. gen voteshare_female = voteshare_D if female_D==1 & female_R==0 + 14. replace voteshare_female = (1-voteshare_D) if female_D==0 & female_R==1 + 15. +. * Outcome: depends on who is elected +. gen y = `tau0' + `tau1'*abs(z_D) + `tau2'*female_D + rnormal() if voteshare_D>=0.5 + 16. replace y = `tau0' + `tau1'*abs(z_R) +`tau2'*female_R + rnormal() if voteshare_D<0.5 + 17. +. * Now four types of RD analyses +. * (1) Density test +. rddensity voteshare_female, c(0.5) + 18. local denstest_pval_all = e(pv_q) + 19. +. rddensity voteshare_female if voteshare_D>=0.5, c(0.5) + 20. local denstest_pval_D = e(pv_q) + 21. +. rddensity voteshare_female if voteshare_D<0.5, c(0.5) + 22. local denstest_pval_R = e(pv_q) + 23. +. * (2) is ideology continuous at the threshold +. rdrobust z voteshare_female, c(0.5) kernel(uniform) + 24. mat b = e(b) + 25. mat V = e(V) + 26. local b_ideology_all = b[1,1] + 27. local se_ideology_all = sqrt(V[1,1]) + 28. +. rdrobust z voteshare_female if voteshare_D>=0.5, c(0.5) kernel(uniform) + 29. mat b = e(b) + 30. mat V = e(V) + 31. local b_ideology_D = b[1,1] + 32. local se_ideology_D = sqrt(V[1,1]) + 33. +. rdrobust z voteshare_female if voteshare_D<0.5, c(0.5) kernel(uniform) + 34. mat b = e(b) + 35. mat V = e(V) + 36. local b_ideology_R = b[1,1] + 37. local se_ideology_R = sqrt(V[1,1]) + 38. +. * (3) Estimate treatment effect with simple RD +. rdrobust y voteshare_female, c(0.5) kernel(uniform) + 39. mat b = e(b) + 40. mat V = e(V) + 41. local b_rd_all = b[1,1] + 42. local se_rd_all = sqrt(V[1,1]) + 43. local band_all = e(h_l) + 44. +. rdrobust y voteshare_female if voteshare_D>=0.5, c(0.5) kernel(uniform) + 45. mat b = e(b) + 46. mat V = e(V) + 47. local b_rd_D = b[1,1] + 48. local se_rd_D = sqrt(V[1,1]) + 49. local band_D = e(h_l) + 50. +. rdrobust y voteshare_female if voteshare_D<0.5, c(0.5) kernel(uniform) + 51. mat b = e(b) + 52. mat V = e(V) + 53. local b_rd_R = b[1,1] + 54. local se_rd_R = sqrt(V[1,1]) + 55. local band_R = e(h_l) + 56. +. * (4-5) Estimate the treatment effect with weighted RD +. gen byte female = female_D if voteshare_D>=0.5 + 57. replace female = female_R if voteshare_D<0.5 + 58. gen voteshare_female_adj = voteshare_female-0.5 + 59. +. * (4) using x +. probit female x if abs(voteshare_female_adj)<=`band_all' + 60. predict pscore if e(sample)==1 + 61. gen wt =1/pscore if female==1 + 62. replace wt = 1/(1-pscore) if female==0 + 63. reg y female voteshare_female_adj i.female#c.voteshare_female_adj [aw=wt] if abs(voteshare_female_adj)<=`band_all' + 64. local b_rdwt_all = _b[female] + 65. local se_rdwt_all = _se[female] + 66. drop pscore wt + 67. +. probit female x if voteshare_D>=0.5 & abs(voteshare_female_adj)<=`band_D' + 68. predict pscore if e(sample)==1 + 69. gen wt =1/pscore if female==1 + 70. replace wt = 1/(1-pscore) if female==0 + 71. reg y female voteshare_female_adj i.female#c.voteshare_female_adj [aw=wt] if voteshare_D>=0.5 & abs(voteshare_female_adj +> )<=`band_D' + 72. local b_rdwt_D = _b[female] + 73. local se_rdwt_D = _se[female] + 74. drop pscore wt + 75. +. probit female x if voteshare_D<0.5 & abs(voteshare_female_adj)<=`band_R' + 76. predict pscore if e(sample)==1 + 77. gen wt =1/pscore if female==1 + 78. replace wt = 1/(1-pscore) if female==0 + 79. reg y female voteshare_female_adj i.female#c.voteshare_female_adj [aw=wt] if voteshare_D<0.5 & abs(voteshare_female_adj) +> <=`band_R' + 80. local b_rdwt_R = _b[female] + 81. local se_rdwt_R = _se[female] + 82. drop pscore wt + 83. +. +. +. * (5a) using ideology of the district +. probit female z if abs(voteshare_female_adj)<=`band_all' + 84. predict pscore if e(sample)==1 + 85. gen wt =1/pscore if female==1 + 86. replace wt = 1/(1-pscore) if female==0 + 87. reg y female voteshare_female_adj i.female#c.voteshare_female_adj [aw=wt] if abs(voteshare_female_adj)<=`band_all' + 88. local b_rdwtideodistrict_all = _b[female] + 89. local se_rdwtideodistrict_all = _se[female] + 90. drop pscore wt + 91. +. probit female z if voteshare_D>=0.5 & abs(voteshare_female_adj)<=`band_D' + 92. predict pscore if e(sample)==1 + 93. gen wt =1/pscore if female==1 + 94. replace wt = 1/(1-pscore) if female==0 + 95. reg y female voteshare_female_adj i.female#c.voteshare_female_adj [aw=wt] if voteshare_D>=0.5 & abs(voteshare_female_adj +> )<=`band_D' + 96. local b_rdwtideodistrict_D = _b[female] + 97. local se_rdwtideodistrict_D = _se[female] + 98. drop pscore wt + 99. +. probit female z if voteshare_D<0.5 & abs(voteshare_female_adj)<=`band_R' +100. predict pscore if e(sample)==1 +101. gen wt =1/pscore if female==1 +102. replace wt = 1/(1-pscore) if female==0 +103. reg y female voteshare_female_adj i.female#c.voteshare_female_adj [aw=wt] if voteshare_D<0.5 & abs(voteshare_female_adj) +> <=`band_R' +104. local b_rdwtideodistrict_R = _b[female] +105. local se_rdwtideodistrict_R = _se[female] +106. drop pscore wt +107. +. * (5b) using ideology of the elected representative +. gen z_elected = z_D if voteshare_D>=0.5 +108. replace z_elected = z_R if voteshare_D<0.5 +109. +. probit female z_elected if abs(voteshare_female_adj)<=`band_all' +110. predict pscore if e(sample)==1 +111. gen wt =1/pscore if female==1 +112. replace wt = 1/(1-pscore) if female==0 +113. reg y female voteshare_female_adj i.female#c.voteshare_female_adj [aw=wt] if abs(voteshare_female_adj)<=`band_all' +114. local b_rdwtideoelected_all = _b[female] +115. local se_rdwtideoelected_all = _se[female] +116. drop pscore wt +117. +. probit female z_elected if voteshare_D>=0.5 & abs(voteshare_female_adj)<=`band_D' +118. predict pscore if e(sample)==1 +119. gen wt =1/pscore if female==1 +120. replace wt = 1/(1-pscore) if female==0 +121. reg y female voteshare_female_adj i.female#c.voteshare_female_adj [aw=wt] if voteshare_D>=0.5 & abs(voteshare_female_adj +> )<=`band_D' +122. local b_rdwtideoelected_D = _b[female] +123. local se_rdwtideoelected_D = _se[female] +124. drop pscore wt +125. +. probit female z_elected if voteshare_D<0.5 & abs(voteshare_female_adj)<=`band_R' +126. predict pscore if e(sample)==1 +127. gen wt =1/pscore if female==1 +128. replace wt = 1/(1-pscore) if female==0 +129. reg y female voteshare_female_adj i.female#c.voteshare_female_adj [aw=wt] if voteshare_D<0.5 & abs(voteshare_female_adj) +> <=`band_R' +130. local b_rdwtideoelected_R = _b[female] +131. local se_rdwtideoelected_R = _se[female] +132. drop pscore wt +133. +. * (6-7) Propensity score methods +. gen absMV = abs(voteshare_D-0.5) +134. +. * (6a) pscore - x +. cap teffects ipw (y) (female x absMV, probit), pstolerance(1e-6) osample(osample) +135. teffects ipw (y) (female x absMV, probit) if osample==0, pstolerance(1e-6) +136. drop osample +137. mat b = e(b) +138. mat V = e(V) +139. local b_pscorex_all = b[1,1] +140. local se_pscorex_all = sqrt(V[1,1]) +141. +. cap teffects ipw (y) (female x absMV, probit) if voteshare_D>=0.5, pstolerance(1e-6) osample(osample) +142. teffects ipw (y) (female x absMV, probit) if voteshare_D>=0.5 & osample==0, pstolerance(1e-6) +143. drop osample +144. mat b = e(b) +145. mat V = e(V) +146. local b_pscorex_D = b[1,1] +147. local se_pscorex_D = sqrt(V[1,1]) +148. +. cap teffects ipw (y) (female x absMV, probit) if voteshare_D<0.5, pstolerance(1e-6) osample(osample) +149. teffects ipw (y) (female x absMV, probit) if voteshare_D<0.5 & osample==0, pstolerance(1e-6) +150. drop osample +151. mat b = e(b) +152. mat V = e(V) +153. local b_pscorex_R = b[1,1] +154. local se_pscorex_R = sqrt(V[1,1]) +155. +. +. * (7a) pscore - district ideology +. cap teffects ipw (y) (female z absMV, probit), pstolerance(1e-6) osample(osample) +156. teffects ipw (y) (female z absMV, probit) if osample==0, pstolerance(1e-6) +157. drop osample +158. mat b = e(b) +159. mat V = e(V) +160. local b_pscoreideodistrict_all = b[1,1] +161. local se_pscoreideodistrict_all = sqrt(V[1,1]) +162. +. cap teffects ipw (y) (female z absMV, probit) if voteshare_D>=0.5, pstolerance(1e-6) osample(osample) +163. teffects ipw (y) (female z absMV, probit) if voteshare_D>=0.5 & osample==0, pstolerance(1e-6) +164. drop osample +165. mat b = e(b) +166. mat V = e(V) +167. local b_pscoreideodistrict_D = b[1,1] +168. local se_pscoreideodistrict_D = sqrt(V[1,1]) +169. +. cap teffects ipw (y) (female z absMV, probit) if voteshare_D<0.5, pstolerance(1e-6) osample(osample) +170. teffects ipw (y) (female z absMV, probit) if voteshare_D<0.5 & osample==0, pstolerance(1e-6) +171. drop osample +172. mat b = e(b) +173. mat V = e(V) +174. local b_pscoreideodistrict_R = b[1,1] +175. local se_pscoreideodistrict_R = sqrt(V[1,1]) +176. +. +. * (7b) pscore - elected representative ideology +. cap teffects ipw (y) (female z_elected absMV, probit), pstolerance(1e-6) osample(osample) +177. teffects ipw (y) (female z_elected absMV, probit) if osample==0, pstolerance(1e-6) +178. drop osample +179. mat b = e(b) +180. mat V = e(V) +181. local b_pscoreideoelected_all = b[1,1] +182. local se_pscoreideoelected_all = sqrt(V[1,1]) +183. +. cap teffects ipw (y) (female z_elected absMV, probit) if voteshare_D>=0.5, pstolerance(1e-6) osample(osample) +184. teffects ipw (y) (female z_elected absMV, probit) if voteshare_D>=0.5 & osample==0, pstolerance(1e-6) +185. drop osample +186. mat b = e(b) +187. mat V = e(V) +188. local b_pscoreideoelected_D = b[1,1] +189. local se_pscoreideoelected_D = sqrt(V[1,1]) +190. +. cap teffects ipw (y) (female z_elected absMV, probit) if voteshare_D<0.5, pstolerance(1e-6) osample(osample) +191. teffects ipw (y) (female z_elected absMV, probit) if voteshare_D<0.5 & osample==0, pstolerance(1e-6) +192. drop osample +193. mat b = e(b) +194. mat V = e(V) +195. local b_pscoreideoelected_R = b[1,1] +196. local se_pscoreideoelected_R = sqrt(V[1,1]) +197. +. +. * (8) OLS +. reg y female +198. local b_ols_all =_b[female] +199. local se_ols_all = _se[female] +200. +. reg y female if voteshare_D>=0.5 +201. local b_ols_D = _b[female] +202. local se_ols_D = _se[female] +203. +. reg y female if voteshare_D<0.5 +204. local b_ols_R = _b[female] +205. local se_ols_R = _se[female] +206. +. * (9) Return +. return scalar denstest_pval_all = `denstest_pval_all' +207. return scalar denstest_pval_D = `denstest_pval_D' +208. return scalar denstest_pval_R = `denstest_pval_R' +209. +. return scalar b_ideology_all = `b_ideology_all' +210. return scalar se_ideology_all = `se_ideology_all' +211. return scalar b_ideology_D = `b_ideology_D' +212. return scalar se_ideology_D = `se_ideology_D' +213. return scalar b_ideology_R = `b_ideology_R' +214. return scalar se_ideology_R = `se_ideology_R' +215. +. return scalar b_rd_all = `b_rd_all' +216. return scalar se_rd_all = `se_rd_all' +217. return scalar b_rd_D = `b_rd_D' +218. return scalar se_rd_D = `se_rd_D' +219. return scalar b_rd_R = `b_rd_R' +220. return scalar se_rd_R = `se_rd_R' +221. +. return scalar b_rdwt_all = `b_rdwt_all' +222. return scalar se_rdwt_all = `se_rdwt_all' +223. return scalar b_rdwt_D = `b_rdwt_D' +224. return scalar se_rdwt_D = `se_rdwt_D' +225. return scalar b_rdwt_R = `b_rdwt_R' +226. return scalar se_rdwt_R = `se_rdwt_R' +227. +. return scalar b_rdwtideodistrict_all = `b_rdwtideodistrict_all' +228. return scalar se_rdwtideodistrict_all = `se_rdwtideodistrict_all' +229. return scalar b_rdwtideodistrict_D = `b_rdwtideodistrict_D' +230. return scalar se_rdwtideodistrict_D = `se_rdwtideodistrict_D' +231. return scalar b_rdwtideodistrict_R = `b_rdwtideodistrict_R' +232. return scalar se_rdwtideodistrict_R = `se_rdwtideodistrict_R' +233. +. return scalar b_rdwtideoelected_all = `b_rdwtideoelected_all' +234. return scalar se_rdwtideoelected_all = `se_rdwtideoelected_all' +235. return scalar b_rdwtideoelected_D = `b_rdwtideoelected_D' +236. return scalar se_rdwtideoelected_D = `se_rdwtideoelected_D' +237. return scalar b_rdwtideoelected_R = `b_rdwtideoelected_R' +238. return scalar se_rdwtideoelected_R = `se_rdwtideoelected_R' +239. +. return scalar b_pscorex_all = `b_pscorex_all' +240. return scalar se_pscorex_all = `se_pscorex_all' +241. return scalar b_pscorex_D = `b_pscorex_D' +242. return scalar se_pscorex_D = `se_pscorex_D' +243. return scalar b_pscorex_R = `b_pscorex_R' +244. return scalar se_pscorex_R = `se_pscorex_R' +245. +. return scalar b_pscoreideodistrict_all = `b_pscoreideodistrict_all' +246. return scalar se_pscoreideodistrict_all = `se_pscoreideodistrict_all' +247. return scalar b_pscoreideodistrict_D = `b_pscoreideodistrict_D' +248. return scalar se_pscoreideodistrict_D = `se_pscoreideodistrict_D' +249. return scalar b_pscoreideodistrict_R = `b_pscoreideodistrict_R' +250. return scalar se_pscoreideodistrict_R = `se_pscoreideodistrict_R' +251. +. return scalar b_pscoreideoelected_all = `b_pscoreideoelected_all' +252. return scalar se_pscoreideoelected_all = `se_pscoreideoelected_all' +253. return scalar b_pscoreideoelected_D = `b_pscoreideoelected_D' +254. return scalar se_pscoreideoelected_D = `se_pscoreideoelected_D' +255. return scalar b_pscoreideoelected_R = `b_pscoreideoelected_R' +256. return scalar se_pscoreideoelected_R = `se_pscoreideoelected_R' +257. +. return scalar b_ols_all = `b_ols_all' +258. return scalar se_ols_all = `se_ols_all' +259. return scalar b_ols_D = `b_ols_D' +260. return scalar se_ols_D = `se_ols_D' +261. return scalar b_ols_R = `b_ols_R' +262. return scalar se_ols_R = `se_ols_R' +263. +. end + +. +. +. ******************************************************************************** +. ******************************************************************************** +. ******************************************************************************** +. +. * Now actually run the simulations +. +. set seed 1234567 + +. +. * Run one simulation as a test +. rd_sim, beta_a(5) beta_b(5) kappa_ksi_R(0.4) kappa_ksi_D(0.4) kappa_u(1) tau1(-5) rho_x(0.6) nobs(100000) /* +> */ gamma2(0.0) gamma3(0.6) phi1_D(-1) phi1_R(-1) +number of observations (_N) was 0, now 100,000 +(79,715 missing values generated) +(8,263 real changes made) +(53,038 missing values generated) +(53,038 real changes made) +Computing data-driven bandwidth selectors. + +Point estimates and standard errors have been adjusted for repeated observations. +(Use option nomasspoints to suppress this adjustment.) + +RD Manipulation test using local polynomial density estimation. + + c = 0.500 | Left of c Right of c Number of obs = 28548 +-------------------+---------------------- Model = unrestricted + Number of obs | 11425 17123 BW method = comb +Eff. Number of obs | 4542 4450 Kernel = triangular + Order est. (p) | 2 2 VCE method = jackknife + Order bias (q) | 3 3 + BW est. (h) | 0.096 0.083 + +Running variable: voteshare_female. +------------------------------------------ + Method | T P>|T| +-------------------+---------------------- + Robust | -0.2327 0.8160 +------------------------------------------ + +P-values of binomial tests. (H0: prob = .5) +----------------------------------------------------- + Window Length / 2 | =c | P>|T| +-------------------+----------------------+---------- + 0.000 | 5 15 | 0.0414 + 0.000 | 19 29 | 0.1934 + 0.001 | 31 40 | 0.3425 + 0.001 | 42 54 | 0.2615 + 0.001 | 51 69 | 0.1203 + 0.001 | 64 83 | 0.1374 + 0.002 | 69 97 | 0.0358 + 0.002 | 83 112 | 0.0447 + 0.002 | 100 127 | 0.0842 + 0.002 | 115 132 | 0.3086 +----------------------------------------------------- +Computing data-driven bandwidth selectors. + +Point estimates and standard errors have been adjusted for repeated observations. +(Use option nomasspoints to suppress this adjustment.) + +RD Manipulation test using local polynomial density estimation. + + c = 0.500 | Left of c Right of c Number of obs = 13774 +-------------------+---------------------- Model = unrestricted + Number of obs | 2457 11317 BW method = comb +Eff. Number of obs | 1615 6442 Kernel = triangular + Order est. (p) | 2 2 VCE method = jackknife + Order bias (q) | 3 3 + BW est. (h) | 0.141 0.173 + +Running variable: voteshare_female. +------------------------------------------ + Method | T P>|T| +-------------------+---------------------- + Robust | 9.3618 0.0000 +------------------------------------------ + +P-values of binomial tests. (H0: prob = .5) +----------------------------------------------------- + Window Length / 2 | =c | P>|T| +-------------------+----------------------+---------- + 0.000 | 5 15 | 0.0414 + 0.000 | 19 29 | 0.1934 + 0.001 | 31 40 | 0.3425 + 0.001 | 42 54 | 0.2615 + 0.001 | 51 69 | 0.1203 + 0.001 | 64 83 | 0.1374 + 0.002 | 69 97 | 0.0358 + 0.002 | 83 112 | 0.0447 + 0.002 | 100 127 | 0.0842 + 0.002 | 115 132 | 0.3086 +----------------------------------------------------- +Computing data-driven bandwidth selectors. + +Point estimates and standard errors have been adjusted for repeated observations. +(Use option nomasspoints to suppress this adjustment.) + +RD Manipulation test using local polynomial density estimation. + + c = 0.500 | Left of c Right of c Number of obs = 14774 +-------------------+---------------------- Model = unrestricted + Number of obs | 8968 5806 BW method = comb +Eff. Number of obs | 6647 2312 Kernel = triangular + Order est. (p) | 2 2 VCE method = jackknife + Order bias (q) | 3 3 + BW est. (h) | 0.211 0.148 + +Running variable: voteshare_female. +------------------------------------------ + Method | T P>|T| +-------------------+---------------------- + Robust | -12.2100 0.0000 +------------------------------------------ + +P-values of binomial tests. (H0: prob = .5) +----------------------------------------------------- + Window Length / 2 | =c | P>|T| +-------------------+----------------------+---------- + 0.000 | 5 15 | 0.0414 + 0.000 | 19 29 | 0.1934 + 0.001 | 31 40 | 0.3425 + 0.001 | 42 54 | 0.2615 + 0.001 | 51 69 | 0.1203 + 0.001 | 64 83 | 0.1374 + 0.002 | 69 97 | 0.0358 + 0.002 | 83 112 | 0.0447 + 0.002 | 100 127 | 0.0842 + 0.002 | 115 132 | 0.3086 +----------------------------------------------------- + +Sharp RD estimates using local polynomial regression. + + Cutoff c = .5 | Left of c Right of c Number of obs = 28548 +-------------------+---------------------- BW type = mserd + Number of obs | 11425 17123 Kernel = Uniform +Eff. Number of obs | 2282 2410 VCE method = NN + Order est. (p) | 1 1 + Order bias (q) | 2 2 + BW est. (h) | 0.046 0.046 + BW bias (b) | 0.092 0.092 + rho (h/b) | 0.497 0.497 + +Outcome: z. Running variable: voteshare_female. +-------------------------------------------------------------------------------- + Method | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------------+------------------------------------------------------------ + Conventional | .01855 .00924 2.0073 0.045 .000437 .036665 + Robust | - - 2.0807 0.037 .001262 .042242 +-------------------------------------------------------------------------------- + +Sharp RD estimates using local polynomial regression. + + Cutoff c = .5 | Left of c Right of c Number of obs = 13774 +-------------------+---------------------- BW type = mserd + Number of obs | 2457 11317 Kernel = Uniform +Eff. Number of obs | 882 2485 VCE method = NN + Order est. (p) | 1 1 + Order bias (q) | 2 2 + BW est. (h) | 0.065 0.065 + BW bias (b) | 0.118 0.118 + rho (h/b) | 0.552 0.552 + +Outcome: z. Running variable: voteshare_female. +-------------------------------------------------------------------------------- + Method | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------------+------------------------------------------------------------ + Conventional | .2107 .00961 21.9190 0.000 .191862 .229544 + Robust | - - 18.9995 0.000 .191055 .235007 +-------------------------------------------------------------------------------- + +Sharp RD estimates using local polynomial regression. + + Cutoff c = .5 | Left of c Right of c Number of obs = 14774 +-------------------+---------------------- BW type = mserd + Number of obs | 8968 5806 Kernel = Uniform +Eff. Number of obs | 2933 1286 VCE method = NN + Order est. (p) | 1 1 + Order bias (q) | 2 2 + BW est. (h) | 0.083 0.083 + BW bias (b) | 0.151 0.151 + rho (h/b) | 0.551 0.551 + +Outcome: z. Running variable: voteshare_female. +-------------------------------------------------------------------------------- + Method | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------------+------------------------------------------------------------ + Conventional | -.19744 .0082 -24.0813 0.000 -.213511 -.181372 + Robust | - - -20.4594 0.000 -.214516 -.177009 +-------------------------------------------------------------------------------- + +Sharp RD estimates using local polynomial regression. + + Cutoff c = .5 | Left of c Right of c Number of obs = 28548 +-------------------+---------------------- BW type = mserd + Number of obs | 11425 17123 Kernel = Uniform +Eff. Number of obs | 4751 5448 VCE method = NN + Order est. (p) | 1 1 + Order bias (q) | 2 2 + BW est. (h) | 0.101 0.101 + BW bias (b) | 0.190 0.190 + rho (h/b) | 0.530 0.530 + +Outcome: y. Running variable: voteshare_female. +-------------------------------------------------------------------------------- + Method | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------------+------------------------------------------------------------ + Conventional | .17272 .04322 3.9964 0.000 .088013 .257427 + Robust | - - 3.2304 0.001 .063486 .25937 +-------------------------------------------------------------------------------- + +Sharp RD estimates using local polynomial regression. + + Cutoff c = .5 | Left of c Right of c Number of obs = 13774 +-------------------+---------------------- BW type = mserd + Number of obs | 2457 11317 Kernel = Uniform +Eff. Number of obs | 880 2484 VCE method = NN + Order est. (p) | 1 1 + Order bias (q) | 2 2 + BW est. (h) | 0.065 0.065 + BW bias (b) | 0.117 0.117 + rho (h/b) | 0.555 0.555 + +Outcome: y. Running variable: voteshare_female. +-------------------------------------------------------------------------------- + Method | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------------+------------------------------------------------------------ + Conventional | .31188 .07973 3.9117 0.000 .15561 .468147 + Robust | - - 3.3740 0.001 .131626 .496528 +-------------------------------------------------------------------------------- + +Sharp RD estimates using local polynomial regression. + + Cutoff c = .5 | Left of c Right of c Number of obs = 14774 +-------------------+---------------------- BW type = mserd + Number of obs | 8968 5806 Kernel = Uniform +Eff. Number of obs | 3622 1619 VCE method = NN + Order est. (p) | 1 1 + Order bias (q) | 2 2 + BW est. (h) | 0.104 0.104 + BW bias (b) | 0.184 0.184 + rho (h/b) | 0.566 0.566 + +Outcome: y. Running variable: voteshare_female. +-------------------------------------------------------------------------------- + Method | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------------+------------------------------------------------------------ + Conventional | .38413 .06763 5.6797 0.000 .251574 .516685 + Robust | - - 4.6972 0.000 .218021 .530242 +-------------------------------------------------------------------------------- +(53,038 missing values generated) +(53,038 real changes made) +(71,452 missing values generated) + +Iteration 0: log likelihood = -7045.573 +Iteration 1: log likelihood = -7014.2341 +Iteration 2: log likelihood = -7014.2334 +Iteration 3: log likelihood = -7014.2334 + +Probit regression Number of obs = 10,199 + LR chi2(1) = 62.68 + Prob > chi2 = 0.0000 +Log likelihood = -7014.2334 Pseudo R2 = 0.0044 + +------------------------------------------------------------------------------ + female | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + x | -.2260739 .0286094 -7.90 0.000 -.2821473 -.1700006 + _cons | .0707624 .0125909 5.62 0.000 .0460847 .09544 +------------------------------------------------------------------------------ +(option pr assumed; Pr(female)) +(89,801 missing values generated) +(94,552 missing values generated) +(4,751 real changes made) +(sum of wgt is 20,398.6936738491) + + Source | SS df MS Number of obs = 10,199 +-------------+---------------------------------- F(3, 10195) = 51.96 + Model | 193.062182 3 64.3540607 Prob > F = 0.0000 + Residual | 12626.5639 10,195 1.23850554 R-squared = 0.0151 +-------------+---------------------------------- Adj R-squared = 0.0148 + Total | 12819.6261 10,198 1.25707258 Root MSE = 1.1129 + +----------------------------------------------------------------------------------------------- + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------------+---------------------------------------------------------------- + female | .1739132 .0439874 3.95 0.000 .0876893 .2601372 + voteshare_female_adj | 3.538998 .5419161 6.53 0.000 2.476736 4.60126 + | +female#c.voteshare_female_adj | + 1 | -6.258399 .7649045 -8.18 0.000 -7.757763 -4.759036 + | + _cons | -1.052096 .0305361 -34.45 0.000 -1.111952 -.9922388 +----------------------------------------------------------------------------------------------- + +Iteration 0: log likelihood = -1933.3477 +Iteration 1: log likelihood = -1878.7605 +Iteration 2: log likelihood = -1878.6371 +Iteration 3: log likelihood = -1878.6371 + +Probit regression Number of obs = 3,364 + LR chi2(1) = 109.42 + Prob > chi2 = 0.0000 +Log likelihood = -1878.6371 Pseudo R2 = 0.0283 + +------------------------------------------------------------------------------ + female | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + x | .5759299 .055828 10.32 0.000 .4665091 .6853507 + _cons | .720536 .0252009 28.59 0.000 .6711433 .7699288 +------------------------------------------------------------------------------ +(option pr assumed; Pr(female)) +(96,636 missing values generated) +(97,516 missing values generated) +(880 real changes made) +(sum of wgt is 6,733.80004513264) + + Source | SS df MS Number of obs = 3,364 +-------------+---------------------------------- F(3, 3360) = 40.81 + Model | 139.293765 3 46.4312551 Prob > F = 0.0000 + Residual | 3822.60101 3,360 1.13767887 R-squared = 0.0352 +-------------+---------------------------------- Adj R-squared = 0.0343 + Total | 3961.89478 3,363 1.17808349 Root MSE = 1.0666 + +----------------------------------------------------------------------------------------------- + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------------+---------------------------------------------------------------- + female | .2406377 .0730094 3.30 0.001 .0974903 .3837851 + voteshare_female_adj | 6.792886 1.412536 4.81 0.000 4.023369 9.562403 + | +female#c.voteshare_female_adj | + 1 | -9.439579 1.989195 -4.75 0.000 -13.33973 -5.539424 + | + _cons | -1.285744 .0501982 -25.61 0.000 -1.384166 -1.187322 +----------------------------------------------------------------------------------------------- + +Iteration 0: log likelihood = -3240.1233 +Iteration 1: log likelihood = -3133.1627 +Iteration 2: log likelihood = -3132.9107 +Iteration 3: log likelihood = -3132.9107 + +Probit regression Number of obs = 5,241 + LR chi2(1) = 214.43 + Prob > chi2 = 0.0000 +Log likelihood = -3132.9107 Pseudo R2 = 0.0331 + +------------------------------------------------------------------------------ + female | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + x | -.629661 .0437244 -14.40 0.000 -.7153593 -.5439628 + _cons | -.5177479 .0184832 -28.01 0.000 -.5539742 -.4815216 +------------------------------------------------------------------------------ +(option pr assumed; Pr(female)) +(94,759 missing values generated) +(98,381 missing values generated) +(3,622 real changes made) +(sum of wgt is 10,475.5064911842) + + Source | SS df MS Number of obs = 5,241 +-------------+---------------------------------- F(3, 5237) = 80.33 + Model | 290.368848 3 96.7896161 Prob > F = 0.0000 + Residual | 6310.12588 5,237 1.20491233 R-squared = 0.0440 +-------------+---------------------------------- Adj R-squared = 0.0434 + Total | 6600.49473 5,240 1.2596364 Root MSE = 1.0977 + +----------------------------------------------------------------------------------------------- + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------------+---------------------------------------------------------------- + female | .3231791 .0614265 5.26 0.000 .2027576 .4436006 + voteshare_female_adj | 4.05668 .722778 5.61 0.000 2.639734 5.473627 + | +female#c.voteshare_female_adj | + 1 | -5.84145 1.017686 -5.74 0.000 -7.836538 -3.846362 + | + _cons | -.8815513 .0424921 -20.75 0.000 -.9648534 -.7982492 +----------------------------------------------------------------------------------------------- + +Iteration 0: log likelihood = -7045.573 +Iteration 1: log likelihood = -6830.0923 +Iteration 2: log likelihood = -6829.9941 +Iteration 3: log likelihood = -6829.9941 + +Probit regression Number of obs = 10,199 + LR chi2(1) = 431.16 + Prob > chi2 = 0.0000 +Log likelihood = -6829.9941 Pseudo R2 = 0.0306 + +------------------------------------------------------------------------------ + female | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + z | -1.538549 .0747452 -20.58 0.000 -1.685046 -1.392051 + _cons | -.0209974 .0136641 -1.54 0.124 -.0477786 .0057838 +------------------------------------------------------------------------------ +(option pr assumed; Pr(female)) +(89,801 missing values generated) +(94,552 missing values generated) +(4,751 real changes made) +(sum of wgt is 20,472.7413574457) + + Source | SS df MS Number of obs = 10,199 +-------------+---------------------------------- F(3, 10195) = 70.48 + Model | 262.88843 3 87.6294767 Prob > F = 0.0000 + Residual | 12675.1194 10,195 1.24326821 R-squared = 0.0203 +-------------+---------------------------------- Adj R-squared = 0.0200 + Total | 12938.0078 10,198 1.2686809 Root MSE = 1.115 + +----------------------------------------------------------------------------------------------- + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------------+---------------------------------------------------------------- + female | .1943662 .0436797 4.45 0.000 .1087454 .2799871 + voteshare_female_adj | 3.946968 .5368838 7.35 0.000 2.894571 4.999366 + | +female#c.voteshare_female_adj | + 1 | -6.460541 .7641782 -8.45 0.000 -7.958481 -4.962601 + | + _cons | -1.069798 .0301335 -35.50 0.000 -1.128866 -1.010731 +----------------------------------------------------------------------------------------------- + +Iteration 0: log likelihood = -1933.3477 +Iteration 1: log likelihood = -1286.2133 +Iteration 2: log likelihood = -1267.5265 +Iteration 3: log likelihood = -1267.4815 +Iteration 4: log likelihood = -1267.4815 + +Probit regression Number of obs = 3,364 + LR chi2(1) = 1331.73 + Prob > chi2 = 0.0000 +Log likelihood = -1267.4815 Pseudo R2 = 0.3444 + +------------------------------------------------------------------------------ + female | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + z | 7.444313 .2623512 28.38 0.000 6.930114 7.958512 + _cons | 1.78103 .0537058 33.16 0.000 1.675768 1.886291 +------------------------------------------------------------------------------ +(option pr assumed; Pr(female)) +(96,636 missing values generated) +(97,516 missing values generated) +(880 real changes made) +(sum of wgt is 6,608.81980001926) + + Source | SS df MS Number of obs = 3,364 +-------------+---------------------------------- F(3, 3360) = 112.97 + Model | 469.699399 3 156.566466 Prob > F = 0.0000 + Residual | 4656.54364 3,360 1.38587608 R-squared = 0.0916 +-------------+---------------------------------- Adj R-squared = 0.0908 + Total | 5126.24304 3,363 1.52430658 Root MSE = 1.1772 + +----------------------------------------------------------------------------------------------- + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------------+---------------------------------------------------------------- + female | -.793492 .0774302 -10.25 0.000 -.9453071 -.6416768 + voteshare_female_adj | 26.62825 1.637998 16.26 0.000 23.41667 29.83982 + | +female#c.voteshare_female_adj | + 1 | -31.34425 2.256755 -13.89 0.000 -35.769 -26.9195 + | + _cons | -.2816657 .0479712 -5.87 0.000 -.3757214 -.1876099 +----------------------------------------------------------------------------------------------- + +Iteration 0: log likelihood = -3240.1233 +Iteration 1: log likelihood = -2172.2326 +Iteration 2: log likelihood = -2152.4686 +Iteration 3: log likelihood = -2152.4172 +Iteration 4: log likelihood = -2152.4172 + +Probit regression Number of obs = 5,241 + LR chi2(1) = 2175.41 + Prob > chi2 = 0.0000 +Log likelihood = -2152.4172 Pseudo R2 = 0.3357 + +------------------------------------------------------------------------------ + female | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + z | -7.049271 .1911968 -36.87 0.000 -7.42401 -6.674532 + _cons | -.7631799 .0241643 -31.58 0.000 -.8105411 -.7158187 +------------------------------------------------------------------------------ +(option pr assumed; Pr(female)) +(94,759 missing values generated) +(98,381 missing values generated) +(3,622 real changes made) +(sum of wgt is 9,903.25282597542) + + Source | SS df MS Number of obs = 5,241 +-------------+---------------------------------- F(3, 5237) = 22.54 + Model | 81.2014589 3 27.067153 Prob > F = 0.0000 + Residual | 6288.68375 5,237 1.20081798 R-squared = 0.0127 +-------------+---------------------------------- Adj R-squared = 0.0122 + Total | 6369.8852 5,240 1.21562695 Root MSE = 1.0958 + +----------------------------------------------------------------------------------------------- + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------------+---------------------------------------------------------------- + female | -.1379332 .0656739 -2.10 0.036 -.2666815 -.0091849 + voteshare_female_adj | 5.627017 .7120137 7.90 0.000 4.231173 7.022861 + | +female#c.voteshare_female_adj | + 1 | -7.189718 1.03427 -6.95 0.000 -9.217319 -5.162118 + | + _cons | -.680452 .0396242 -17.17 0.000 -.758132 -.6027719 +----------------------------------------------------------------------------------------------- +(53,038 missing values generated) +(53,038 real changes made) + +Iteration 0: log likelihood = -7045.573 +Iteration 1: log likelihood = -6040.1188 +Iteration 2: log likelihood = -6037.2237 +Iteration 3: log likelihood = -6037.2236 + +Probit regression Number of obs = 10,199 + LR chi2(1) = 2016.70 + Prob > chi2 = 0.0000 +Log likelihood = -6037.2236 Pseudo R2 = 0.1431 + +------------------------------------------------------------------------------ + female | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + z_elected | -1.958926 .0449516 -43.58 0.000 -2.04703 -1.870823 + _cons | .0135668 .0133481 1.02 0.309 -.0125949 .0397285 +------------------------------------------------------------------------------ +(option pr assumed; Pr(female)) +(89,801 missing values generated) +(94,552 missing values generated) +(4,751 real changes made) +(sum of wgt is 20,703.5746251345) + + Source | SS df MS Number of obs = 10,199 +-------------+---------------------------------- F(3, 10195) = 156.58 + Model | 586.245291 3 195.415097 Prob > F = 0.0000 + Residual | 12723.9437 10,195 1.24805725 R-squared = 0.0440 +-------------+---------------------------------- Adj R-squared = 0.0438 + Total | 13310.189 10,198 1.3051764 Root MSE = 1.1172 + +----------------------------------------------------------------------------------------------- + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------------+---------------------------------------------------------------- + female | .3725144 .044218 8.42 0.000 .2858384 .4591904 + voteshare_female_adj | 3.852766 .5269349 7.31 0.000 2.81987 4.885662 + | +female#c.voteshare_female_adj | + 1 | -6.090878 .7661041 -7.95 0.000 -7.592593 -4.589164 + | + _cons | -1.201598 .0296283 -40.56 0.000 -1.259675 -1.14352 +----------------------------------------------------------------------------------------------- + +Iteration 0: log likelihood = -1933.3477 +Iteration 1: log likelihood = -1587.7928 +Iteration 2: log likelihood = -1582.0926 +Iteration 3: log likelihood = -1582.0776 +Iteration 4: log likelihood = -1582.0776 + +Probit regression Number of obs = 3,364 + LR chi2(1) = 702.54 + Prob > chi2 = 0.0000 +Log likelihood = -1582.0776 Pseudo R2 = 0.1817 + +------------------------------------------------------------------------------ + female | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + z_elected | 7.410054 .3114873 23.79 0.000 6.79955 8.020558 + _cons | 3.042828 .1071286 28.40 0.000 2.83286 3.252796 +------------------------------------------------------------------------------ +(option pr assumed; Pr(female)) +(96,636 missing values generated) +(97,516 missing values generated) +(880 real changes made) +(sum of wgt is 6,813.62821555138) + + Source | SS df MS Number of obs = 3,364 +-------------+---------------------------------- F(3, 3360) = 44.01 + Model | 168.894906 3 56.2983019 Prob > F = 0.0000 + Residual | 4298.15433 3,360 1.2792126 R-squared = 0.0378 +-------------+---------------------------------- Adj R-squared = 0.0369 + Total | 4467.04924 3,363 1.32829296 Root MSE = 1.131 + +----------------------------------------------------------------------------------------------- + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------------+---------------------------------------------------------------- + female | -.4509505 .0758094 -5.95 0.000 -.5995877 -.3023132 + voteshare_female_adj | 16.0325 1.518248 10.56 0.000 13.05572 19.00929 + | +female#c.voteshare_female_adj | + 1 | -19.80716 2.132745 -9.29 0.000 -23.98877 -15.62555 + | + _cons | -.6497326 .0491586 -13.22 0.000 -.7461164 -.5533488 +----------------------------------------------------------------------------------------------- + +Iteration 0: log likelihood = -3240.1233 +Iteration 1: log likelihood = -2594.5471 +Iteration 2: log likelihood = -2583.7661 +Iteration 3: log likelihood = -2583.7327 +Iteration 4: log likelihood = -2583.7327 + +Probit regression Number of obs = 5,241 + LR chi2(1) = 1312.78 + Prob > chi2 = 0.0000 +Log likelihood = -2583.7327 Pseudo R2 = 0.2026 + +------------------------------------------------------------------------------ + female | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + z_elected | -7.805294 .2423385 -32.21 0.000 -8.280269 -7.33032 + _cons | 1.29987 .0573838 22.65 0.000 1.1874 1.412341 +------------------------------------------------------------------------------ +(option pr assumed; Pr(female)) +(94,759 missing values generated) +(98,381 missing values generated) +(3,622 real changes made) +(sum of wgt is 10,372.1911814213) + + Source | SS df MS Number of obs = 5,241 +-------------+---------------------------------- F(3, 5237) = 16.72 + Model | 60.8606207 3 20.2868736 Prob > F = 0.0000 + Residual | 6354.50433 5,237 1.21338635 R-squared = 0.0095 +-------------+---------------------------------- Adj R-squared = 0.0089 + Total | 6415.36495 5,240 1.22430629 Root MSE = 1.1015 + +----------------------------------------------------------------------------------------------- + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------------+---------------------------------------------------------------- + female | -.1872573 .0632442 -2.96 0.003 -.3112422 -.0632723 + voteshare_female_adj | 5.046656 .7215085 6.99 0.000 3.632198 6.461113 + | +female#c.voteshare_female_adj | + 1 | -5.702727 1.02625 -5.56 0.000 -7.714604 -3.690849 + | + _cons | -.6934209 .0411359 -16.86 0.000 -.7740645 -.6127773 +----------------------------------------------------------------------------------------------- + +Iteration 0: EE criterion = 2.162e-28 +Iteration 1: EE criterion = 4.110e-33 + +Treatment-effects estimation Number of obs = 100,000 +Estimator : inverse-probability weights +Outcome model : weighted mean +Treatment model: probit +------------------------------------------------------------------------------ + | Robust + y | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- +ATE | + female | + (1 vs 0) | .185551 .009143 20.29 0.000 .1676311 .2034709 +-------------+---------------------------------------------------------------- +POmean | + female | + 0 | -1.51444 .0040466 -374.25 0.000 -1.522371 -1.506509 +------------------------------------------------------------------------------ + +Iteration 0: EE criterion = 5.545e-18 +Iteration 1: EE criterion = 2.033e-33 + +Treatment-effects estimation Number of obs = 46,962 +Estimator : inverse-probability weights +Outcome model : weighted mean +Treatment model: probit +------------------------------------------------------------------------------ + | Robust + y | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- +ATE | + female | + (1 vs 0) | -.0620271 .0113967 -5.44 0.000 -.0843642 -.03969 +-------------+---------------------------------------------------------------- +POmean | + female | + 0 | -1.499856 .0061075 -245.58 0.000 -1.511827 -1.487886 +------------------------------------------------------------------------------ + +Iteration 0: EE criterion = 2.364e-23 +Iteration 1: EE criterion = 1.407e-32 + +Treatment-effects estimation Number of obs = 53,038 +Estimator : inverse-probability weights +Outcome model : weighted mean +Treatment model: probit +------------------------------------------------------------------------------ + | Robust + y | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- +ATE | + female | + (1 vs 0) | .4934254 .015274 32.30 0.000 .4634889 .5233619 +-------------+---------------------------------------------------------------- +POmean | + female | + 0 | -1.519821 .0053757 -282.72 0.000 -1.530357 -1.509284 +------------------------------------------------------------------------------ + +Iteration 0: EE criterion = 7.198e-22 +Iteration 1: EE criterion = 6.756e-33 + +Treatment-effects estimation Number of obs = 100,000 +Estimator : inverse-probability weights +Outcome model : weighted mean +Treatment model: probit +------------------------------------------------------------------------------ + | Robust + y | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- +ATE | + female | + (1 vs 0) | .1960373 .0094185 20.81 0.000 .1775775 .2144971 +-------------+---------------------------------------------------------------- +POmean | + female | + 0 | -1.527443 .004071 -375.20 0.000 -1.535422 -1.519464 +------------------------------------------------------------------------------ + +Iteration 0: EE criterion = 4.047e-18 +Iteration 1: EE criterion = 2.312e-32 + +Treatment-effects estimation Number of obs = 46,962 +Estimator : inverse-probability weights +Outcome model : weighted mean +Treatment model: probit +------------------------------------------------------------------------------ + | Robust + y | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- +ATE | + female | + (1 vs 0) | -.0158669 .0108021 -1.47 0.142 -.0370386 .0053048 +-------------+---------------------------------------------------------------- +POmean | + female | + 0 | -1.51214 .0060289 -250.82 0.000 -1.523956 -1.500323 +------------------------------------------------------------------------------ + +Iteration 0: EE criterion = 2.425e-27 +Iteration 1: EE criterion = 1.682e-31 + +Treatment-effects estimation Number of obs = 52,919 +Estimator : inverse-probability weights +Outcome model : weighted mean +Treatment model: probit +------------------------------------------------------------------------------ + | Robust + y | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- +ATE | + female | + (1 vs 0) | -.1946729 .0624661 -3.12 0.002 -.3171042 -.0722417 +-------------+---------------------------------------------------------------- +POmean | + female | + 0 | -1.45934 .0055571 -262.61 0.000 -1.470232 -1.448448 +------------------------------------------------------------------------------ + +Iteration 0: EE criterion = 1.047e-24 +Iteration 1: EE criterion = 3.917e-33 + +Treatment-effects estimation Number of obs = 100,000 +Estimator : inverse-probability weights +Outcome model : weighted mean +Treatment model: probit +------------------------------------------------------------------------------ + | Robust + y | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- +ATE | + female | + (1 vs 0) | .2416772 .0092623 26.09 0.000 .2235235 .2598309 +-------------+---------------------------------------------------------------- +POmean | + female | + 0 | -1.519808 .0040542 -374.88 0.000 -1.527754 -1.511862 +------------------------------------------------------------------------------ + +Iteration 0: EE criterion = 3.676e-18 +Iteration 1: EE criterion = 4.790e-33 + +Treatment-effects estimation Number of obs = 46,962 +Estimator : inverse-probability weights +Outcome model : weighted mean +Treatment model: probit +------------------------------------------------------------------------------ + | Robust + y | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- +ATE | + female | + (1 vs 0) | -.000495 .0106006 -0.05 0.963 -.0212719 .0202818 +-------------+---------------------------------------------------------------- +POmean | + female | + 0 | -1.515822 .0060067 -252.36 0.000 -1.527595 -1.504049 +------------------------------------------------------------------------------ + +Iteration 0: EE criterion = 9.684e-16 +Iteration 1: EE criterion = 8.458e-28 + +Treatment-effects estimation Number of obs = 53,038 +Estimator : inverse-probability weights +Outcome model : weighted mean +Treatment model: probit +------------------------------------------------------------------------------ + | Robust + y | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------+---------------------------------------------------------------- +ATE | + female | + (1 vs 0) | -.1050439 .0401988 -2.61 0.009 -.183832 -.0262557 +-------------+---------------------------------------------------------------- +POmean | + female | + 0 | -1.458219 .0054927 -265.48 0.000 -1.468984 -1.447453 +------------------------------------------------------------------------------ + + Source | SS df MS Number of obs = 100,000 +-------------+---------------------------------- F(1, 99998) = 115.72 + Model | 155.270531 1 155.270531 Prob > F = 0.0000 + Residual | 134179.437 99,998 1.3418212 R-squared = 0.0012 +-------------+---------------------------------- Adj R-squared = 0.0011 + Total | 134334.707 99,999 1.34336051 Root MSE = 1.1584 + +------------------------------------------------------------------------------ + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + female | .0988518 .0091894 10.76 0.000 .0808406 .1168629 + _cons | -1.501196 .0040908 -366.97 0.000 -1.509214 -1.493178 +------------------------------------------------------------------------------ + + Source | SS df MS Number of obs = 46,962 +-------------+---------------------------------- F(1, 46960) = 81.37 + Model | 107.755058 1 107.755058 Prob > F = 0.0000 + Residual | 62185.463 46,960 1.32422196 R-squared = 0.0017 +-------------+---------------------------------- Adj R-squared = 0.0017 + Total | 62293.2181 46,961 1.32648832 Root MSE = 1.1507 + +------------------------------------------------------------------------------ + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + female | -.1088381 .0120654 -9.02 0.000 -.1324866 -.0851897 + _cons | -1.487199 .0061843 -240.48 0.000 -1.499321 -1.475078 +------------------------------------------------------------------------------ + + Source | SS df MS Number of obs = 53,038 +-------------+---------------------------------- F(1, 53036) = 886.34 + Model | 1182.47024 1 1182.47024 Prob > F = 0.0000 + Residual | 70755.5305 53,036 1.33410383 R-squared = 0.0164 +-------------+---------------------------------- Adj R-squared = 0.0164 + Total | 71938.0008 53,037 1.35637387 Root MSE = 1.155 + +------------------------------------------------------------------------------ + y | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------+---------------------------------------------------------------- + female | .4290223 .0144105 29.77 0.000 .4007775 .457267 + _cons | -1.511833 .0054114 -279.38 0.000 -1.522439 -1.501226 +------------------------------------------------------------------------------ + +. +. fulijhkjhk +command fulijhkjhk is unrecognized +r(199); + +end of do-file +r(199); + +end of do-file + +r(199); + +. rdrobust z voteshare_female, c(0.5) kernel(uniform) + +Sharp RD estimates using local polynomial regression. + + Cutoff c = .5 | Left of c Right of c Number of obs = 28548 +-------------------+---------------------- BW type = mserd + Number of obs | 11425 17123 Kernel = Uniform +Eff. Number of obs | 2282 2410 VCE method = NN + Order est. (p) | 1 1 + Order bias (q) | 2 2 + BW est. (h) | 0.046 0.046 + BW bias (b) | 0.092 0.092 + rho (h/b) | 0.497 0.497 + +Outcome: z. Running variable: voteshare_female. +-------------------------------------------------------------------------------- + Method | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------------+------------------------------------------------------------ + Conventional | .01855 .00924 2.0073 0.045 .000437 .036665 + Robust | - - 2.0807 0.037 .001262 .042242 +-------------------------------------------------------------------------------- + +. rdrobust z voteshare_female, c(0.5) kernel(uniform) masspoints(off) stdvars(on) + +Sharp RD estimates using local polynomial regression. + + Cutoff c = .5 | Left of c Right of c Number of obs = 28548 +-------------------+---------------------- BW type = mserd + Number of obs | 11425 17123 Kernel = Uniform +Eff. Number of obs | 2279 2405 VCE method = NN + Order est. (p) | 1 1 + Order bias (q) | 2 2 + BW est. (h) | 0.046 0.046 + BW bias (b) | 0.092 0.092 + rho (h/b) | 0.495 0.495 + +Outcome: z. Running variable: voteshare_female. +-------------------------------------------------------------------------------- + Method | Coef. Std. Err. z P>|z| [95% Conf. Interval] +-------------------+------------------------------------------------------------ + Conventional | .01803 .00924 1.9510 0.051 -.000083 .036141 + Robust | - - 2.0378 0.042 .000813 .041726 +-------------------------------------------------------------------------------- + +. adopath + [1] "C:/ado/plus/r/rd_2021" + [2] (BASE) "C:\Program Files (x86)\Stata15\ado\base/" + [3] (SITE) "C:\Program Files (x86)\Stata15\ado\site/" + [4] "." + [5] (PERSONAL) "c:\ado\personal/" + [6] (PLUS) "c:\ado\plus/" + [7] (OLDPLACE) "c:\ado/" + +. doedit + +. pwd +C:\Users\paserman\Dropbox + +. doedit "C:\Users\paserman\Dropbox\Research\GenderCooperativeness\EJ\3 replication package\Dofiles\master.do" + +. exit, clear diff --git a/30/replication_package/Log/Figure1_2.log b/30/replication_package/Log/Figure1_2.log new file mode 100644 index 0000000000000000000000000000000000000000..0ca6f9754b6df872fb8f6f52ab38a947ee3ef594 --- /dev/null +++ b/30/replication_package/Log/Figure1_2.log @@ -0,0 +1,169 @@ +--------------------------------------------------------------------------------------------------------------------------------------------------------------------- + name: + log: /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Log/Figure1_2.log + log type: text + opened on: 8 Jul 2021, 12:08:33 + +. +. use "$AnalysisData/sponsors_analysis_101-111_replication.dta", clear +(Sponsor-level data set. Each observation is an individual congress member.) + +. +. tabstat dwnom1 if sponsor_party==100 & sponsor_female==0, by(v2) + +Summary for variables: dwnom1 + by categories of: v2 (Congress) + + v2 | mean +---------+---------- + 101 | -.3060248 + 102 | -.3120163 + 103 | -.3230909 + 104 | -.3567597 + 105 | -.3576358 + 106 | -.3593452 + 107 | -.3583473 + 108 | -.3637055 + 109 | -.3701923 + 110 | -.3467821 + 111 | -.3298564 +---------+---------- + Total | -.3403725 +-------------------- + +. tabstat dwnom1 if sponsor_party==100 & sponsor_female==1, by(v2) + +Summary for variables: dwnom1 + by categories of: v2 (Congress) + + v2 | mean +---------+---------- + 101 | -.3439375 + 102 | -.3795263 + 103 | -.3854857 + 104 | -.4245333 + 105 | -.4108824 + 106 | -.4301538 + 107 | -.4366905 + 108 | -.4361579 + 109 | -.4348333 + 110 | -.4166809 + 111 | -.4020893 +---------+---------- + Total | -.41449 +-------------------- + +. tabstat dwnom1 if sponsor_party==200 & sponsor_female==0, by(v2) + +Summary for variables: dwnom1 + by categories of: v2 (Congress) + + v2 | mean +---------+---------- + 101 | .3423875 + 102 | .3609808 + 103 | .4135741 + 104 | .4716019 + 105 | .4984498 + 106 | .5214563 + 107 | .54504 + 108 | .5770244 + 109 | .5953805 + 110 | .6324743 + 111 | .6595385 +---------+---------- + Total | .5144841 +-------------------- + +. tabstat dwnom1 if sponsor_party==200 & sponsor_female==1, by(v2) + +Summary for variables: dwnom1 + by categories of: v2 (Congress) + + v2 | mean +---------+---------- + 101 | .17375 + 102 | .1966667 + 103 | .26075 + 104 | .4001765 + 105 | .4168 + 106 | .4425882 + 107 | .4478235 + 108 | .52905 + 109 | .554913 + 110 | .60165 + 111 | .6451765 +---------+---------- + Total | .4554246 +-------------------- + +. +. sort sponsor_state_abbrev sponsor_district v2 sponsor_term_served + +. bysort sponsor_state_abbrev sponsor_district: gen dwnom1_lag=dwnom1[_n-1] +(562 missing values generated) + +. +. gen predicted_rep= 100*(1-predicted_dem) +(396 missing values generated) + +. cumul predicted_rep if sponsor_party==100 & sponsor_female==0, generate(cum_predicted_repD0) + +. cumul predicted_rep if sponsor_party==100 & sponsor_female==1, generate(cum_predicted_repD1) + +. cumul predicted_rep if sponsor_party==200 & sponsor_female==0, generate(cum_predicted_repR0) + +. cumul predicted_rep if sponsor_party==200 & sponsor_female==1, generate(cum_predicted_repR1) + +. label var cum_predicted_repD0 "Male, Democrat" + +. label var cum_predicted_repD1 "Female, Democrat" + +. label var cum_predicted_repR0 "Male, Republican" + +. label var cum_predicted_repR1 "Female, Republican" + +. sort predicted_rep + +. scatter cum_predicted_repD0 cum_predicted_repD1 cum_predicted_repR0 cum_predicted_repR1 predicted_rep, /* +> */ c(l l l l) lpattern(solid dash solid dash) clcolor(black black gs12 gs12) msym(none none none none) xtitle("") /* +> */ saving("$Output/Figure1.gph", replace) +(file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/Figure1.gph saved) + +. graph export "$Output/Figure1.eps", as(eps) replace fontface(Times) +(file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/Figure1.eps written in EPS format) + +. +. cumul dwnom1_lag if sponsor_party==100 & sponsor_female==0, generate(cum_dwnom1D0) + +. cumul dwnom1_lag if sponsor_party==100 & sponsor_female==1, generate(cum_dwnom1D1) + +. cumul dwnom1_lag if sponsor_party==200 & sponsor_female==0, generate(cum_dwnom1R0) + +. cumul dwnom1_lag if sponsor_party==200 & sponsor_female==1, generate(cum_dwnom1R1) + +. label var cum_dwnom1D0 "Male, Democrat" + +. label var cum_dwnom1D1 "Female, Democrat" + +. label var cum_dwnom1R0 "Male, Republican" + +. label var cum_dwnom1R1 "Female, Republican" + +. sort dwnom1_lag + +. scatter cum_dwnom1D0 cum_dwnom1D1 cum_dwnom1R0 cum_dwnom1R1 dwnom1_lag, /* +> */ c(l l l l) lpattern(solid dash solid dash) clcolor(black black gs12 gs12) msym(none none none none) xtitle("") /* +> */ saving("$Output/Figure2.gph", replace) +(file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/Figure2.gph saved) + +. graph export "$Output/Figure2.eps", as(eps) replace fontface(Times) +(file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/Figure2.eps written in EPS format) + +. +. log close + name: + log: /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Log/Figure1_2.log + log type: text + closed on: 8 Jul 2021, 12:08:36 +--------------------------------------------------------------------------------------------------------------------------------------------------------------------- diff --git a/30/replication_package/Log/Figure3.log b/30/replication_package/Log/Figure3.log new file mode 100644 index 0000000000000000000000000000000000000000..85ba88148ca3dbbc5be181ef516eb1b0742f059b --- /dev/null +++ b/30/replication_package/Log/Figure3.log @@ -0,0 +1,81 @@ +--------------------------------------------------------------------------------------------------------------------------------------------------------------------- + name: + log: /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Log/Figure3.log + log type: text + opened on: 8 Jul 2021, 12:08:36 + +. +. use "$AnalysisData/sponsors_analysis_101-111_replication.dta", clear +(Sponsor-level data set. Each observation is an individual congress member.) + +. +. egen fraction_female=mean(sponsor_female), by(v2) + +. replace fraction_female= fraction_female*100 +(4,788 real changes made) + +. +. gen byte x = sponsor_female if sponsor_party==100 +(2,285 missing values generated) + +. egen fraction_female_D =mean(x), by(v2) + +. replace fraction_female_D= fraction_female_D*100 +(4,788 real changes made) + +. drop x + +. +. gen byte x = sponsor_female if sponsor_party==200 +(2,516 missing values generated) + +. egen fraction_female_R = mean(x), by(v2) + +. replace fraction_female_R= fraction_female_R*100 +(4,788 real changes made) + +. drop x + +. +. label var fraction_female "All" + +. label var fraction_female_D "Democrats" + +. label var fraction_female_R "Republicans" + +. label var v2 "Congress" + +. +. egen tag_congress = tag(v2) + +. +. keep if tag_congress==1 +(4,777 observations deleted) + +. +. +. gen int year_elections = 1988 + 2*(v2-101) + +. label var year_elections "Year Congress Elected" + +. +. sort v2 + +. scatter fraction_female fraction_female_D fraction_female_R year_elections, c(l l l) msym(o t s) /* +> */ mcolor(black black black) msize(*1.5 *1.5 *1.5) clcolor(black black black) lpattern(solid dash dash_dot) ytitle("Pct. female")/* +> */ saving("$Output/Figure3.gph", replace) name(Figure3,replace) +(file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/Figure3.gph saved) + +. +. graph export "$Output/Figure3.eps", as(eps) replace fontface(Times) +(file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/Figure3.eps written in EPS format) + +. +. +. +. log close + name: + log: /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Log/Figure3.log + log type: text + closed on: 8 Jul 2021, 12:08:37 +--------------------------------------------------------------------------------------------------------------------------------------------------------------------- diff --git a/30/replication_package/Log/Figure4a_4b.log b/30/replication_package/Log/Figure4a_4b.log new file mode 100644 index 0000000000000000000000000000000000000000..56887f91db638dcfdcdf449bfc6980b6a9a86b1b --- /dev/null +++ b/30/replication_package/Log/Figure4a_4b.log @@ -0,0 +1,126 @@ +--------------------------------------------------------------------------------------------------------------------------------------------------------------------- + name: + log: /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Log/Figure4a_4b.log + log type: text + opened on: 8 Jul 2021, 12:08:37 + +. +. clear + +. use "$AnalysisData/bills_analysis_101-111_replication.dta", clear +(Bill-level data set. Each observation is an individual bill.) + +. +. replace numb_cosponsors_opposite=0 if numb_cosponsors==0 +(3 real changes made) + +. replace pct_cosponsors_opposite = numb_cosponsors_opposite/(numb_cosponsors+1) +(47,231 real changes made) + +. +. egen mean_numb_cosponsors = mean(numb_cosponsors), by(v2) + +. +. gen int x = numb_cosponsors if sponsor_female==1 +(55,311 missing values generated) + +. egen mean_numb_cosponsors_F = mean(x), by(v2) + +. drop x + +. +. gen int x = numb_cosponsors if sponsor_female==0 +(11,145 missing values generated) + +. egen mean_numb_cosponsors_M = mean(x), by(v2) + +. drop x + +. +. egen mean_pct_cosp_opposite = mean(pct_cosponsors_opposite), by(v2) + +. replace mean_pct_cosp_opposite=mean_pct_cosp_opposite*100 +(63,895 real changes made) + +. +. gen x = pct_cosponsors_opposite if sponsor_female==1 +(55,311 missing values generated) + +. egen mean_pct_cosp_opposite_F = mean(x), by(v2) + +. replace mean_pct_cosp_opposite_F=mean_pct_cosp_opposite_F*100 +(63,895 real changes made) + +. drop x + +. +. gen x = pct_cosponsors_opposite if sponsor_female==0 +(11,145 missing values generated) + +. egen mean_pct_cosp_opposite_M = mean(x), by(v2) + +. replace mean_pct_cosp_opposite_M=mean_pct_cosp_opposite_M*100 +(63,895 real changes made) + +. drop x + +. +. +. egen tag_v2 = tag(v2) + +. keep if tag_v2==1 +(63,884 observations deleted) + +. +. label var mean_numb_cosponsors "Total" + +. label var mean_numb_cosponsors_F "Females" + +. label var mean_numb_cosponsors_M "Males" + +. +. label var mean_pct_cosp_opposite "Total" + +. label var mean_pct_cosp_opposite_F "Females" + +. label var mean_pct_cosp_opposite_M "Males" + +. +. label var v2 "Congress" + +. +. sort v2 + +. +. gen int year_elections = 1988 + 2*(v2-101) + +. label var year_elections "Year Congress Elected" + +. +. scatter mean_numb_cosponsors mean_numb_cosponsors_F mean_numb_cosponsors_M year_elections, c(l l l) msym(o t s) /* +> */ mcolor(black black black) clcolor(black black black) lpattern(solid dash dash_dot)/* +> */ ytitle("Mean number of cosponsors") saving("$Output/Figure4a.gph", replace) name(Figure4a, replace) +(file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/Figure4a.gph saved) + +. graph export "$Output/Figure4a.eps", as(eps) replace fontface(Times) +(file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/Figure4a.eps written in EPS format) + +. +. scatter mean_pct_cosp_opposite mean_pct_cosp_opposite_F mean_pct_cosp_opposite_M year_elections, c(l l l) msym(o t s) /* +> */ mcolor(black black black) clcolor(black black black) lpattern(solid dash dash_dot) /* +> */ ytitle("Pct. of Cosponsors of Opposite Party") saving("$Output/Figure4b.gph", replace) name(Figure4b, replace) +(file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/Figure4b.gph saved) + +. graph export "$Output/Figure4b.eps", as(eps) replace fontface(Times) +(file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/Figure4b.eps written in EPS format) + +. +. +. +. +. log close + name: + log: /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Log/Figure4a_4b.log + log type: text + closed on: 8 Jul 2021, 12:08:39 +--------------------------------------------------------------------------------------------------------------------------------------------------------------------- diff --git a/30/replication_package/Log/Figure5.log b/30/replication_package/Log/Figure5.log new file mode 100644 index 0000000000000000000000000000000000000000..f77f9e13d3945c567f36d963c0f2c1dab4e75a82 --- /dev/null +++ b/30/replication_package/Log/Figure5.log @@ -0,0 +1,80 @@ +--------------------------------------------------------------------------------------------------------------------------------------------------------------------- + name: + log: /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Log/Figure5.log + log type: text + opened on: 8 Jul 2021, 12:08:39 + +. +. use "$AnalysisData/bills_analysis_101-111_replication.dta", clear +(Bill-level data set. Each observation is an individual bill.) + +. +. egen tag_sponsor = tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) + +. sum MV1_female + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + MV1_female | 11,990 3.69171 36.05713 -100 100 + +. sum MV1_female if tag_sponsor==1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + MV1_female | 898 .1593616 35.29735 -100 100 + +. +. forvalues h=15/15 { + 2. DCdensity MV1_female if tag_sponsor==1 , breakpoint(0) h(`h') b(1) generate(Xj Yj r0 fhat se_fhat) + 3. local bandwidth = r(bandwidth) + 4. gen hi = fhat + 1.96*se_fhat + 5. gen lo = fhat - 1.96*se_fhat + 6. graph twoway (scatter Yj Xj, msym(circle_hollow) mcolor(gray)) /* +> */ (line fhat r0 if r0 < 0, lcolor(black) lwidth(medthick)) /* +> */ (line fhat r0 if r0 > 0, lcolor(black) lwidth(medthick)) /* +> */ (line hi r0 if r0 < 0, lcolor(black) lwidth(vthin)) /* +> */ (line lo r0 if r0 < 0, lcolor(black) lwidth(vthin)) /* +> */ (line hi r0 if r0 > 0, lcolor(black) lwidth(vthin)) /* +> */ (line lo r0 if r0 > 0, lcolor(black) lwidth(vthin)), /* +> */ xline(0, lcolor(black)) legend(off) title("All") + 7. graph save "$Output/Figure5_McCraryDensityTest_PartyAll_bw`bandwidth'.gph", replace + 8. drop Xj Yj r0 fhat se_fhat hi lo + 9. } + +Discontinuity estimate (log difference in height): -.427192664 + (.292536715) +Performing LLR smoothing. +202 iterations will be performed +.................... +(63,693 missing values generated) +(63,693 missing values generated) +--Break-- +r(1); + +end of do-file +--Break-- +r(1); + +end of do-file + +--Break-- +r(1); + +. do "/var/folders/zl/qmyjjcp168q5hwrw6c0x3jwm0000gn/T//SD63466.000000" + +. clear + +. set mem 500m +set memory ignored. + Memory no longer needs to be set in modern Statas; memory adjustments are performed on the fly automatically. + +. set more off + +. set logtype text + +. set matsize 3000 +set matsize ignored. + Matrix sizes are no longer limited by c(matsize) in modern Statas. Matrix sizes are now limited by flavor of Stata. See limits for more details. + +. +. cap log close diff --git a/30/replication_package/Log/Table1.log b/30/replication_package/Log/Table1.log new file mode 100644 index 0000000000000000000000000000000000000000..f39efca3204a165041c32f7d5ccc5a497b28d8a0 --- /dev/null +++ b/30/replication_package/Log/Table1.log @@ -0,0 +1,828 @@ +--------------------------------------------------------------------------------------------------------------------------------------------------------------------- + name: + log: /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Log/Table1.log + log type: text + opened on: 11 May 2021, 23:46:44 + +. +. +. use "$AnalysisData/bills_analysis_101-111_replication.dta", clear +(Bill-level data set. Each observation is an individual bill.) + +. keep if private==0 +(1,546 observations deleted) + +. +. bysort v2 sponsor_state_abbrev sponsor_district sponsor_term_served: egen tot_bills=count(v2) + +. +. gen byte sponsor_democrat = sponsor_party==100 if sponsor_party~=. +(1,036 missing values generated) + +. +. gen byte NE = sponsor_state_icpsr>=1 & sponsor_state_icpsr<=14 if sponsor_state_icpsr~=. +(1,015 missing values generated) + +. gen byte MW = sponsor_state_icpsr>=21 & sponsor_state_icpsr<=37 if sponsor_state_icpsr~=. +(1,015 missing values generated) + +. gen byte SO = sponsor_state_icpsr>=40 & sponsor_state_icpsr<=56 if sponsor_state_icpsr~=. +(1,015 missing values generated) + +. gen byte WE = sponsor_state_icpsr>=61 & sponsor_state_icpsr<=82 if sponsor_state_icpsr~=. +(1,015 missing values generated) + +. +. replace sponsor_age=. if sponsor_age>100 +(0 real changes made) + +. gen sponsor_rookie=(sponsor_tenure_run==1) if sponsor_tenure_run!=. +(1,015 missing values generated) + +. gen byte leader = (comc==1) | (comr==1) if comc~=. & comr~=. +(1,015 missing values generated) + +. +. gen lnpden=lnpop-lnarea +(1,015 missing values generated) + +. gen absMV=abs(MV1_democrat) +(6,677 missing values generated) + +. +. egen tag_congressmen=tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) + +. egen group_congressmen = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +(1,015 missing values generated) + +. egen tag_sponsor = tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) + +. egen group_sponsor = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +(1,015 missing values generated) + +. +. cap drop pct_cosponsors_opposite + +. gen pct_cosponsors_opposite=numb_cosponsors_opposite/(numb_cosponsors+1) +(1,015 missing values generated) + +. replace pct_cosponsors_opposite=. if pct_cosponsors_opposite>1 +(3 real changes made, 3 to missing) + +. +. foreach num of numlist 1 3 { + 2. foreach depvar of varlist plaw_cbp passh { + 3. gen `depvar'`num'=`depvar' if women_friend`num'==1 + 4. replace `depvar'`num'=0 if women_friend`num'==0 + 5. } + 6. } +(41,922 missing values generated) +(41,922 real changes made) +(41,922 missing values generated) +(41,922 real changes made) +(50,974 missing values generated) +(50,956 real changes made) +(50,974 missing values generated) +(50,956 real changes made) + +. +. compress + variable tot_bills was float now int + variable sponsor_rookie was float now byte + variable group_congressmen was float now int + variable group_sponsor was float now int + variable plaw_cbp1 was float now byte + variable passh1 was float now byte + variable plaw_cbp3 was float now byte + variable passh3 was float now byte + (1,309,329 bytes saved) + +. +. egen tag_bill = tag(v2 HRnumber) + +. +. gen int decade = 1980 if v2<=102 +(50,563 missing values generated) + +. replace decade=1990 if v2>=103 & v2<=107 +(25,238 real changes made) + +. replace decade=2000 if v2>=108 +(25,325 real changes made) + +. +. egen district_id = group(decade sponsor_state_abbrev sponsor_district) +(1,015 missing values generated) + +. +. local controls1 = "i.v2 " + +. local controls2 = "i.v2 MV1_female femaleXMV1_female " + +. local controls3 = "i.v2 MV1_female femaleXMV1_female " + +. local controls4 = "i.v2 " + +. local controls5 = "i.v2 " + +. +. local other_controls = "i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate to +> t_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden" + +. local billchars = "i.minor house_*" + +. local indivchars = "sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate tot_bills" + +. local districtchars = "NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden" + +. +. local if1 = "if tag_bill==1" + +. local if2 = "if sponsor_party==100 & tag_bill==1" + +. local if3 = "if sponsor_party==200 & tag_bill==1" + +. +. local and1 = "& women_friend1==0" + +. local and2 = "& women_friend1==1" + +. +. local n_cosp1 = " " + +. local n_cosp2 = "numb_cosponsors pct_cosponsors_opposite" + +. +. replace numb_cosponsors=numb_cosponsors/100 +variable numb_cosponsors was int now float +(41,995 real changes made) + +. reg passh c.numb_cosponsors##c.pct_cosponsors_opposite i.v2 `billchars' `indivchars' `districtchars', cluster(group_sponsor) + +Linear regression Number of obs = 60,667 + F(293, 4745) = . + Prob > F = . + R-squared = 0.3261 + Root MSE = .32398 + + (Std. Err. adjusted for 4,746 clusters in group_sponsor) +------------------------------------------------------------------------------------------------------------- + | Robust + passh | Coef. Std. Err. t P>|t| [95% Conf. Interval] +--------------------------------------------+---------------------------------------------------------------- + numb_cosponsors | .0747291 .0094036 7.95 0.000 .0562938 .0931645 + pct_cosponsors_opposite | .1666962 .0095057 17.54 0.000 .1480606 .1853317 + | +c.numb_cosponsors#c.pct_cosponsors_opposite | -.0759013 .0231225 -3.28 0.001 -.1212321 -.0305705 + | + v2 | + 102 | -.0009116 .0094267 -0.10 0.923 -.0193923 .0175691 + 103 | .0029743 .012102 0.25 0.806 -.0207512 .0266998 + 104 | .0064641 .0131867 0.49 0.624 -.0193879 .0323161 + 105 | .0065595 .0123087 0.53 0.594 -.0175714 .0306903 + 106 | .0201233 .0120365 1.67 0.095 -.0034738 .0437203 + 107 | -.0057065 .0117107 -0.49 0.626 -.0286648 .0172518 + 108 | .0342733 .0362032 0.95 0.344 -.0367018 .1052484 + 109 | .6487942 .0376584 17.23 0.000 .5749662 .7226222 + 110 | .2494349 .036946 6.75 0.000 .1770036 .3218661 + 111 | .0386247 .0363368 1.06 0.288 -.0326122 .1098617 + | + minor | + 101 | .1096043 .054271 2.02 0.043 .003208 .2160006 + 103 | .0291515 .0626397 0.47 0.642 -.0936514 .1519544 + 104 | -.0060707 .0426275 -0.14 0.887 -.0896405 .077499 + 105 | -.0014228 .0449195 -0.03 0.975 -.0894858 .0866403 + 107 | .0419899 .0326068 1.29 0.198 -.0219347 .1059144 + 108 | .0089308 .0407947 0.22 0.827 -.0710457 .0889073 + 110 | -.0920588 .0440908 -2.09 0.037 -.1784972 -.0056204 + 200 | .0186946 .0368172 0.51 0.612 -.0534841 .0908733 + 201 | .0314861 .0459878 0.68 0.494 -.0586714 .1216436 + 202 | .0048115 .0388928 0.12 0.902 -.0714365 .0810595 + 204 | .1254359 .0728863 1.72 0.085 -.0174552 .2683269 + 205 | .1035641 .0656692 1.58 0.115 -.0251781 .2323062 + 206 | -.005322 .0400743 -0.13 0.894 -.0838862 .0732422 + 207 | .0817 .0414465 1.97 0.049 .0004456 .1629544 + 208 | .0452055 .0359559 1.26 0.209 -.0252847 .1156957 + 209 | -.1636806 .1320505 -1.24 0.215 -.4225609 .0951998 + 299 | -.0087308 .0533424 -0.16 0.870 -.1133067 .0958451 + 300 | .0607166 .0404453 1.50 0.133 -.018575 .1400083 + 301 | .0402006 .0347716 1.16 0.248 -.0279679 .1083692 + 302 | .0475242 .0327968 1.45 0.147 -.0167727 .1118211 + 321 | .062325 .0363956 1.71 0.087 -.0090273 .1336774 + 322 | .0381376 .0343597 1.11 0.267 -.0292234 .1054987 + 323 | .0515175 .0350285 1.47 0.141 -.0171546 .1201896 + 324 | .0160681 .0377035 0.43 0.670 -.0578483 .0899846 + 325 | .0390703 .0352168 1.11 0.267 -.0299709 .1081115 + 331 | .0338737 .0346966 0.98 0.329 -.0341477 .101895 + 332 | .0536622 .0352949 1.52 0.128 -.0155321 .1228565 + 333 | -.0109053 .0447907 -0.24 0.808 -.098716 .0769053 + 334 | .0295684 .0339124 0.87 0.383 -.0369157 .0960524 + 335 | .077796 .0351897 2.21 0.027 .0088079 .1467842 + 336 | .0106311 .0361426 0.29 0.769 -.0602252 .0814873 + 341 | -.0332012 .0347785 -0.95 0.340 -.1013833 .0349808 + 342 | .0151681 .040659 0.37 0.709 -.0645424 .0948786 + 343 | .0770798 .0485734 1.59 0.113 -.0181466 .1723062 + 344 | .0606419 .0529341 1.15 0.252 -.0431334 .1644172 + 398 | .0165855 .0350941 0.47 0.637 -.0522152 .0853863 + 399 | .0209923 .0430731 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0.308 -.0479268 .151904 + 1410 | .013741 .0413768 0.33 0.740 -.0673768 .0948588 + 1499 | .0236595 .0498011 0.48 0.635 -.0739739 .1212928 + 1500 | .080992 .0481652 1.68 0.093 -.0134341 .1754182 + 1501 | .0312616 .0348059 0.90 0.369 -.0369741 .0994972 + 1502 | .0738176 .0374126 1.97 0.049 .0004716 .1471636 + 1504 | .0064157 .0351527 0.18 0.855 -.0625 .0753314 + 1505 | .0258628 .0376562 0.69 0.492 -.0479609 .0996864 + 1507 | .1233528 .0505517 2.44 0.015 .0242479 .2224577 + 1520 | .0451375 .0377541 1.20 0.232 -.0288781 .119153 + 1521 | .0468917 .0358092 1.31 0.190 -.0233109 .1170944 + 1522 | .161292 .0492043 3.28 0.001 .0648287 .2577553 + 1523 | .1170775 .0354701 3.30 0.001 .0475396 .1866154 + 1524 | .0923782 .0598338 1.54 0.123 -.0249239 .2096802 + 1525 | .0384127 .0352833 1.09 0.276 -.0307589 .1075843 + 1526 | .0064368 .038442 0.17 0.867 -.0689273 .0818009 + 1599 | .0757421 .0449943 1.68 0.092 -.0124677 .1639519 + 1600 | .3145254 .0491243 6.40 0.000 .2182189 .4108319 + 1602 | .0822853 .0549968 1.50 0.135 -.025534 .1901046 + 1603 | .1809125 .0614465 2.94 0.003 .0604488 .3013762 + 1604 | .105953 .0692319 1.53 0.126 -.0297736 .2416797 + 1605 | .043567 .042163 1.03 0.302 -.039092 .126226 + 1606 | .1812273 .0699401 2.59 0.010 .0441122 .3183424 + 1608 | .0650976 .0346824 1.88 0.061 -.0028959 .1330912 + 1609 | .0642822 .0349692 1.84 0.066 -.0042737 .132838 + 1610 | .097632 .0425826 2.29 0.022 .0141503 .1811138 + 1611 | .1309856 .0407609 3.21 0.001 .0510754 .2108958 + 1612 | .0836525 .0386493 2.16 0.030 .007882 .1594231 + 1614 | .043075 .0454963 0.95 0.344 -.0461188 .1322688 + 1615 | .0660889 .0418062 1.58 0.114 -.0158705 .1480484 + 1616 | .0308329 .0360583 0.86 0.393 -.0398582 .101524 + 1617 | .0456062 .0412953 1.10 0.269 -.0353517 .1265641 + 1619 | .0705379 .0461547 1.53 0.127 -.0199468 .1610225 + 1620 | -.0219657 .0405846 -0.54 0.588 -.1015303 .0575988 + 1698 | .0250517 .0575115 0.44 0.663 -.0876976 .1378009 + 1699 | .0535751 .0391339 1.37 0.171 -.0231455 .1302956 + 1700 | .0981048 .0628683 1.56 0.119 -.0251462 .2213558 + 1701 | .103805 .0577296 1.80 0.072 -.0093719 .2169818 + 1704 | .1883469 .0715708 2.63 0.009 .0480348 .328659 + 1705 | .0944413 .0726896 1.30 0.194 -.048064 .2369466 + 1706 | .058469 .0386393 1.51 0.130 -.0172819 .1342199 + 1707 | .0190637 .0371275 0.51 0.608 -.0537235 .091851 + 1708 | .1484988 .0581617 2.55 0.011 .0344749 .2625227 + 1709 | .0798013 .0420022 1.90 0.058 -.0025425 .1621451 + 1798 | .0954869 .0441732 2.16 0.031 .008887 .1820868 + 1799 | .2309959 .1100753 2.10 0.036 .0151973 .4467945 + 1800 | .1610593 .0456759 3.53 0.000 .0715133 .2506052 + 1802 | .1071717 .0378965 2.83 0.005 .0328769 .1814665 + 1803 | .0671631 .0414541 1.62 0.105 -.0141063 .1484324 + 1804 | .056393 .0416666 1.35 0.176 -.0252928 .1380789 + 1806 | .0913656 .0475384 1.92 0.055 -.0018317 .1845629 + 1807 | -.0439385 .034183 -1.29 0.199 -.1109531 .023076 + 1808 | .0071586 .0586232 0.12 0.903 -.10777 .1220873 + 1899 | -.1371003 .0948246 -1.45 0.148 -.3230004 .0487999 + 1900 | .1352953 .0491228 2.75 0.006 .0389919 .2315987 + 1901 | .0789405 .0392976 2.01 0.045 .001899 .155982 + 1902 | .1622569 .0541532 3.00 0.003 .0560914 .2684223 + 1905 | .1188648 .0463956 2.56 0.010 .027908 .2098217 + 1906 | -.005109 .0363635 -0.14 0.888 -.0763982 .0661803 + 1907 | .0696045 .0744926 0.93 0.350 -.0764355 .2156445 + 1908 | .0261935 .0563587 0.46 0.642 -.0842957 .1366827 + 1909 | .1944664 .07136 2.73 0.006 .0545676 .3343652 + 1910 | .00622 .0750665 0.08 0.934 -.1409451 .1533852 + 1911 | .1001993 .0659055 1.52 0.128 -.0290062 .2294047 + 1912 | -.0279898 .0437848 -0.64 0.523 -.1138284 .0578487 + 1914 | .0181084 .0445015 0.41 0.684 -.0691352 .1053521 + 1915 | .3074528 .1095969 2.81 0.005 .092592 .5223135 + 1919 | .1178677 .0552769 2.13 0.033 .0094993 .2262361 + 1920 | .0482725 .04566 1.06 0.290 -.0412423 .1377873 + 1925 | .043819 .0464571 0.94 0.346 -.0472585 .1348964 + 1926 | .0472891 .0452067 1.05 0.296 -.041337 .1359152 + 1927 | .0893915 .0462583 1.93 0.053 -.0012962 .1800791 + 1929 | .0806068 .0424969 1.90 0.058 -.0027068 .1639203 + 1999 | -.1155778 .0734899 -1.57 0.116 -.2596521 .0284965 + 2000 | .1936363 .0436712 4.43 0.000 .1080206 .2792521 + 2001 | .0845101 .0399628 2.11 0.035 .0061646 .1628557 + 2002 | .1044881 .0376291 2.78 0.006 .0307177 .1782586 + 2003 | .0140151 .0396337 0.35 0.724 -.0636854 .0917155 + 2004 | .0043078 .033828 0.13 0.899 -.0620108 .0706264 + 2005 | .0926898 .0663398 1.40 0.162 -.0373671 .2227467 + 2006 | .113892 .0383781 2.97 0.003 .0386532 .1891308 + 2007 | .0386462 .0378087 1.02 0.307 -.0354764 .1127688 + 2008 | .4796859 .0350137 13.70 0.000 .4110429 .5483289 + 2009 | .0916022 .0453731 2.02 0.044 .0026499 .1805545 + 2010 | -.2278757 .0351519 -6.48 0.000 -.2967898 -.1589616 + 2011 | .027464 .0348782 0.79 0.431 -.0409134 .0958414 + 2012 | .0229263 .0345388 0.66 0.507 -.0447858 .0906384 + 2013 | -.0052752 .0412911 -0.13 0.898 -.086225 .0756746 + 2014 | .2274115 .0600035 3.79 0.000 .1097768 .3450462 + 2015 | .0897586 .0638078 1.41 0.160 -.0353343 .2148514 + 2030 | .1456178 .0560307 2.60 0.009 .0357717 .255464 + 2099 | .1265653 .0497891 2.54 0.011 .0289555 .2241751 + 2100 | .1886011 .0492038 3.83 0.000 .0921388 .2850634 + 2101 | .1440635 .0345331 4.17 0.000 .0763626 .2117644 + 2102 | .1284277 .0362869 3.54 0.000 .0572885 .199567 + 2103 | .1499162 .0353482 4.24 0.000 .0806173 .2192151 + 2104 | .170235 .0360484 4.72 0.000 .0995634 .2409067 + 2105 | -.0534944 .0425929 -1.26 0.209 -.1369962 .0300074 + 2199 | .0453878 .0883765 0.51 0.608 -.1278711 .2186467 + 9999 | .0517259 .0452053 1.14 0.253 -.0368975 .1403493 + | + house_administration | .003862 .0127015 0.30 0.761 -.0210389 .0287629 + house_agriculture | -.0265789 .0096065 -2.77 0.006 -.0454121 -.0077458 + house_appropriations | .2266154 .0352853 6.42 0.000 .1574399 .2957909 + house_armedservices | -.0725651 .0085332 -8.50 0.000 -.0892942 -.055836 + house_budget | .048947 .0183719 2.66 0.008 .0129295 .0849644 + house_dc | -.0409424 .0712557 -0.57 0.566 -.1806367 .0987518 + house_educlabor | -.0143587 .0066029 -2.17 0.030 -.0273035 -.0014138 + house_energycommerce | -.0096698 .0052035 -1.86 0.063 -.0198711 .0005316 + house_foreignaffairs | -.0112642 .0146481 -0.77 0.442 -.0399812 .0174528 + house_governmentop | -.0371469 .0160816 -2.31 0.021 -.0686743 -.0056196 + house_intelligence | .0291544 .0276985 1.05 0.293 -.0251475 .0834563 + house_interior | .0651812 .0161921 4.03 0.000 .0334372 .0969252 + house_judiciary | .0046343 .0065777 0.70 0.481 -.008261 .0175296 + house_mmf | .0317082 .0181644 1.75 0.081 -.0039025 .0673189 + house_pocs | .0288265 .0143851 2.00 0.045 .000625 .0570281 + house_pwt | -.023223 .0129378 -1.79 0.073 -.0485871 .0021412 + house_rules | -.0341625 .0119298 -2.86 0.004 -.0575504 -.0107745 + house_sst | -.0416993 .0253402 -1.65 0.100 -.0913778 .0079792 + house_smallbusi | .0923491 .0243921 3.79 0.000 .0445293 .1401688 + house_soc | .1238959 .0772659 1.60 0.109 -.0275812 .275373 + house_veterans | .0169919 .0129754 1.31 0.190 -.0084458 .0424297 + house_waysandmeans | -.0602493 .0044864 -13.43 0.000 -.0690448 -.0514538 + house_naturalresources | .0146726 .0137418 1.07 0.286 -.0122677 .0416128 + house_bfs | .0092455 .0081204 1.14 0.255 -.0066742 .0251653 + house_eeo | -.0011284 .0165678 -0.07 0.946 -.033609 .0313521 + house_govreform | .0268714 .0097895 2.74 0.006 .0076795 .0460634 + house_ir | .0245763 .0146545 1.68 0.094 -.0041533 .053306 + house_natsecur | -.0893093 .013484 -6.62 0.000 -.1157442 -.0628745 + house_oversight | .0062162 .0133115 0.47 0.641 -.0198805 .0323128 + house_resources | .0567614 .0116854 4.86 0.000 .0338526 .0796702 + house_science | .0593067 .018061 3.28 0.001 .0238989 .0947146 + house_transp | -.029264 .0090494 -3.23 0.001 -.047005 -.011523 + house_homeland | .0610022 .020496 2.98 0.003 .0208206 .1011838 + sponsor_democrat | -.0036887 .0048557 -0.76 0.447 -.0132081 .0058307 + sponsor_rookie | .0195968 .007122 2.75 0.006 .0056343 .0335592 + sponsor_tenure_run | .0068047 .0010826 6.29 0.000 .0046824 .0089271 + sponsor_age | -.000236 .0002896 -0.81 0.415 -.0008037 .0003317 + leader | .0524419 .0094627 5.54 0.000 .0338906 .0709933 + ivycoll | -.0056508 .0065277 -0.87 0.387 -.0184481 .0071465 + black | -.0217041 .016595 -1.31 0.191 -.0542381 .0108299 + occ0 | -.0099391 .0072465 -1.37 0.170 -.0241456 .0042673 + occ1 | -.011398 .0080919 -1.41 0.159 -.0272619 .0044659 + occ2 | -.0111518 .0068603 -1.63 0.104 -.0246012 .0022977 + occ3 | -.0191235 .0098153 -1.95 0.051 -.038366 .000119 + occ4 | -.0094431 .0071226 -1.33 0.185 -.0234068 .0045206 + borninstate | .0052325 .0046868 1.12 0.264 -.0039557 .0144208 + tot_bills | -.000417 .0002427 -1.72 0.086 -.0008927 .0000587 + NE | -.0224272 .0072947 -3.07 0.002 -.0367281 -.0081262 + MW | -.011768 .0070568 -1.67 0.095 -.0256026 .0020666 + WE | -.0067269 .0077826 -0.86 0.387 -.0219844 .0085306 + pct_black | -.0067407 .0324566 -0.21 0.835 -.0703708 .0568894 + pct_urban | -.0156009 .0156531 -1.00 0.319 -.0462883 .0150865 + pct_for_born | -.0297216 .0331628 -0.90 0.370 -.0947362 .0352929 + pct_age_over65 | -.0593991 .0621712 -0.96 0.339 -.1812836 .0624854 + lninc | -.0110531 .0133071 -0.83 0.406 -.0371413 .015035 + lnpden | .0024804 .0022507 1.10 0.271 -.0019321 .0068929 + _cons | .1297439 .1350027 0.96 0.337 -.134924 .3944119 +------------------------------------------------------------------------------------------------------------- + +. reg passh i.sponsor_female##(c.numb_cosponsors##c.pct_cosponsors_opposite) i.v2 `billchars' `indivchars' `districtchars', cluster(group_sponsor) + +Linear regression Number of obs = 60,667 + F(297, 4745) = . + Prob > F = . + R-squared = 0.3263 + Root MSE = .32394 + + (Std. Err. adjusted for 4,746 clusters in group_sponsor) +---------------------------------------------------------------------------------------------------------------------------- + | Robust + passh | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------------------------------------------+---------------------------------------------------------------- + 1.sponsor_female | -.0108533 .0082478 -1.32 0.188 -.0270228 .0053163 + numb_cosponsors | .0695743 .0102785 6.77 0.000 .0494236 .089725 + pct_cosponsors_opposite | .171729 .0103291 16.63 0.000 .1514791 .1919789 + | + c.numb_cosponsors#c.pct_cosponsors_opposite | -.0648722 .0254526 -2.55 0.011 -.1147711 -.0149732 + | + sponsor_female#c.numb_cosponsors | + 1 | .0279632 .0244865 1.14 0.254 -.0200416 .0759681 + | + sponsor_female#c.pct_cosponsors_opposite | + 1 | -.0418776 .025158 -1.66 0.096 -.0911991 .0074438 + | +sponsor_female#c.numb_cosponsors#c.pct_cosponsors_opposite | + 1 | -.0537521 .0589538 -0.91 0.362 -.1693289 .0618246 + | + v2 | + 102 | -.0009326 .0093833 -0.10 0.921 -.0193281 .017463 + 103 | .0020814 .0120737 0.17 0.863 -.0215887 .0257515 + 104 | .0056877 .0131702 0.43 0.666 -.020132 .0315074 + 105 | .0055567 .0122703 0.45 0.651 -.0184989 .0296122 + 106 | .0191727 .0120156 1.60 0.111 -.0043835 .0427289 + 107 | -.0064012 .0116753 -0.55 0.584 -.0292902 .0164878 + 108 | .0333897 .0360343 0.93 0.354 -.0372543 .1040337 + 109 | .6482591 .0375186 17.28 0.000 .5747052 .721813 + 110 | .2488308 .0367168 6.78 0.000 .1768489 .3208127 + 111 | .0379935 .0361701 1.05 0.294 -.0329166 .1089036 + | + minor | + 101 | .1096593 .0549029 2.00 0.046 .0020241 .2172945 + 103 | .0274912 .0630993 0.44 0.663 -.0962126 .1511951 + 104 | -.0053402 .0426354 -0.13 0.900 -.0889254 .0782451 + 105 | -.0017524 .0449305 -0.04 0.969 -.0898371 .0863323 + 107 | .0419051 .0326193 1.28 0.199 -.0220439 .1058541 + 108 | .0083212 .0407856 0.20 0.838 -.0716375 .08828 + 110 | -.0927374 .0439933 -2.11 0.035 -.1789846 -.0064901 + 200 | .0187079 .0368236 0.51 0.611 -.0534834 .0908991 + 201 | .0324069 .0458908 0.71 0.480 -.0575603 .1223741 + 202 | .0059361 .0388047 0.15 0.878 -.0701392 .0820113 + 204 | .1235322 .0726413 1.70 0.089 -.0188785 .2659428 + 205 | .1018169 .066682 1.53 0.127 -.0289109 .2325446 + 206 | -.0053484 .0400573 -0.13 0.894 -.0838792 .0731824 + 207 | .0816634 .0414956 1.97 0.049 .0003127 .1630141 + 208 | .0447338 .0359733 1.24 0.214 -.0257906 .1152582 + 209 | -.1617016 .1331186 -1.21 0.225 -.4226759 .0992727 + 299 | -.0066528 .0534171 -0.12 0.901 -.1113751 .0980694 + 300 | .0613099 .0404508 1.52 0.130 -.0179925 .1406123 + 301 | .0405841 .0347819 1.17 0.243 -.0276045 .1087728 + 302 | .0477937 .0328107 1.46 0.145 -.0165305 .1121179 + 321 | .0628289 .0363894 1.73 0.084 -.0085112 .134169 + 322 | .0379566 .0343802 1.10 0.270 -.0294446 .1053578 + 323 | .0518708 .0350363 1.48 0.139 -.0168165 .1205582 + 324 | .015739 .0377297 0.42 0.677 -.0582287 .0897068 + 325 | .0395336 .0352483 1.12 0.262 -.0295695 .1086367 + 331 | .036832 .0346897 1.06 0.288 -.031176 .10484 + 332 | .0560515 .0353566 1.59 0.113 -.0132639 .1253668 + 333 | -.0092875 .0448029 -0.21 0.836 -.0971219 .078547 + 334 | .0305991 .0339228 0.90 0.367 -.0359054 .0971036 + 335 | .078256 .0352207 2.22 0.026 .0092072 .1473049 + 336 | .0121242 .0361473 0.34 0.737 -.0587413 .0829896 + 341 | -.0339868 .0348088 -0.98 0.329 -.1022283 .0342546 + 342 | .0163434 .040623 0.40 0.687 -.0632966 .0959834 + 343 | .0772122 .0485987 1.59 0.112 -.0180639 .1724883 + 344 | .059482 .05314 1.12 0.263 -.044697 .163661 + 398 | .0184657 .0351591 0.53 0.599 -.0504625 .0873939 + 399 | .0214068 .0430894 0.50 0.619 -.0630684 .105882 + 400 | .2303034 .0494584 4.66 0.000 .1333419 .3272648 + 401 | .0237243 .0447195 0.53 0.596 -.0639466 .1113952 + 402 | .0437158 .0345741 1.26 0.206 -.0240654 .111497 + 403 | .0289007 .0359632 0.80 0.422 -.0416039 .0994053 + 404 | .046677 .0439889 1.06 0.289 -.0395616 .1329157 + 405 | .0254362 .0456853 0.56 0.578 -.0641281 .1150005 + 498 | .013464 .0547525 0.25 0.806 -.0938762 .1208042 + 499 | .0805322 .0459547 1.75 0.080 -.0095603 .1706246 + 500 | -.0218256 .0506408 -0.43 0.666 -.121105 .0774538 + 501 | .0670093 .0399262 1.68 0.093 -.0112645 .1452831 + 502 | .0048091 .0351149 0.14 0.891 -.0640324 .0736505 + 503 | .0474816 .0330091 1.44 0.150 -.0172316 .1121947 + 504 | -.0106798 .0386827 -0.28 0.782 -.0865158 .0651563 + 505 | .0185489 .0361006 0.51 0.607 -.052225 .0893228 + 506 | .0638764 .0469887 1.36 0.174 -.0282432 .155996 + 508 | .0363005 .0365412 0.99 0.321 -.0353373 .1079383 + 529 | .0334825 .0480626 0.70 0.486 -.0607425 .1277076 + 530 | .0341881 .0340362 1.00 0.315 -.0325386 .1009148 + 599 | .0109521 .0641336 0.17 0.864 -.1147794 .1366837 + 600 | .0552241 .0386097 1.43 0.153 -.0204688 .1309169 + 601 | .047515 .0344906 1.38 0.168 -.0201025 .1151325 + 602 | .0580842 .0346943 1.67 0.094 -.0099327 .1261011 + 603 | .0769454 .0413963 1.86 0.063 -.0042107 .1581014 + 604 | .0794907 .0590363 1.35 0.178 -.0362478 .1952292 + 606 | .064588 .0495731 1.30 0.193 -.0325984 .1617743 + 607 | .024591 .0365177 0.67 0.501 -.0470007 .0961827 + 609 | .1324043 .0661028 2.00 0.045 .0028121 .2619965 + 698 | -.0214512 .0472037 -0.45 0.650 -.1139923 .0710899 + 699 | .0441817 .0438226 1.01 0.313 -.0417309 .1300944 + 700 | .0326118 .0381116 0.86 0.392 -.0421047 .1073283 + 701 | .0161201 .038668 0.42 0.677 -.0596872 .0919273 + 703 | .0000684 .0350404 0.00 0.998 -.0686271 .0687639 + 704 | .0092712 .0344936 0.27 0.788 -.0583523 .0768947 + 705 | -.0089645 .0350846 -0.26 0.798 -.0777466 .0598177 + 707 | -.0278296 .0343631 -0.81 0.418 -.0951973 .0395381 + 708 | .017467 .0473482 0.37 0.712 -.0753575 .1102914 + 709 | .0662084 .0349023 1.90 0.058 -.0022163 .1346331 + 710 | .0675756 .0365864 1.85 0.065 -.0041508 .139302 + 711 | .0295437 .0379501 0.78 0.436 -.0448561 .1039435 + 798 | .0333178 .0494167 0.67 0.500 -.0635619 .1301976 + 799 | .0648087 .0589855 1.10 0.272 -.0508303 .1804477 + 800 | .0433704 .0397936 1.09 0.276 -.0346436 .1213844 + 801 | .026401 .0410204 0.64 0.520 -.054018 .1068201 + 802 | .0863618 .0390674 2.21 0.027 .0097717 .162952 + 803 | .0405261 .0345915 1.17 0.241 -.0272893 .1083415 + 805 | .0359529 .0536387 0.67 0.503 -.0692038 .1411097 + 806 | .0305956 .035416 0.86 0.388 -.0388362 .1000274 + 807 | .0815439 .0402572 2.03 0.043 .0026211 .1604667 + 898 | .0229725 .0571258 0.40 0.688 -.0890207 .1349656 + 899 | .0668756 .0805798 0.83 0.407 -.0910982 .2248494 + 1000 | .178175 .0472346 3.77 0.000 .0855732 .2707767 + 1001 | .0352693 .0441697 0.80 0.425 -.0513237 .1218624 + 1002 | .0470589 .0374162 1.26 0.209 -.0262942 .1204121 + 1003 | .1006978 .0375599 2.68 0.007 .0270629 .1743326 + 1005 | .0491166 .0386851 1.27 0.204 -.0267242 .1249574 + 1006 | .0159261 .0351657 0.45 0.651 -.0530149 .0848671 + 1007 | .0688184 .0368476 1.87 0.062 -.0034201 .1410568 + 1010 | -.0057165 .0379236 -0.15 0.880 -.0800645 .0686314 + 1098 | .1162755 .0836467 1.39 0.165 -.0477107 .2802618 + 1099 | .2243761 .1548119 1.45 0.147 -.079127 .5278791 + 1200 | .1736329 .0521494 3.33 0.001 .0713959 .2758699 + 1201 | .1105778 .0406615 2.72 0.007 .0308624 .1902933 + 1202 | .0499462 .0492015 1.02 0.310 -.0465116 .146404 + 1203 | .031019 .0381003 0.81 0.416 -.0436753 .1057134 + 1204 | .1105661 .0374514 2.95 0.003 .037144 .1839881 + 1205 | .0313625 .0384026 0.82 0.414 -.0439244 .1066494 + 1206 | .1286383 .0484048 2.66 0.008 .0337425 .2235341 + 1207 | .1004751 .0421646 2.38 0.017 .0178129 .1831374 + 1208 | .0742316 .0353862 2.10 0.036 .0048582 .143605 + 1209 | .0225912 .0341529 0.66 0.508 -.0443643 .0895468 + 1210 | .0283908 .0358878 0.79 0.429 -.0419659 .0987476 + 1211 | .0529438 .0412249 1.28 0.199 -.0278762 .1337638 + 1299 | .0308251 .0654039 0.47 0.637 -.0973969 .1590471 + 1300 | .05169 .0387591 1.33 0.182 -.0242959 .1276759 + 1301 | .0699278 .0400078 1.75 0.081 -.008506 .1483616 + 1302 | .0669233 .0376797 1.78 0.076 -.0069464 .140793 + 1303 | .0442237 .0332419 1.33 0.183 -.0209459 .1093934 + 1304 | .0591976 .035971 1.65 0.100 -.0113223 .1297175 + 1305 | .0915873 .0457052 2.00 0.045 .0019839 .1811907 + 1399 | .0243575 .046989 0.52 0.604 -.0677628 .1164778 + 1400 | .0806974 .0369112 2.19 0.029 .0083343 .1530605 + 1401 | .0430547 .0403166 1.07 0.286 -.0359845 .122094 + 1403 | -.0107105 .0423846 -0.25 0.801 -.093804 .072383 + 1404 | .0895071 .0842654 1.06 0.288 -.0756922 .2547064 + 1405 | .0697833 .0404234 1.73 0.084 -.0094653 .1490319 + 1406 | .0500738 .0364224 1.37 0.169 -.0213311 .1214786 + 1407 | .0578619 .0480422 1.20 0.228 -.0363231 .1520469 + 1408 | .0373381 .0469771 0.79 0.427 -.0547588 .129435 + 1409 | .0540119 .050844 1.06 0.288 -.0456659 .1536897 + 1410 | .0150943 .0412816 0.37 0.715 -.0658367 .0960254 + 1499 | .0218962 .0498298 0.44 0.660 -.0757934 .1195857 + 1500 | .081375 .048226 1.69 0.092 -.0131703 .1759204 + 1501 | .0315808 .0348408 0.91 0.365 -.0367234 .099885 + 1502 | .0728784 .0374471 1.95 0.052 -.0005353 .1462922 + 1504 | .0057787 .0351636 0.16 0.869 -.0631583 .0747157 + 1505 | .0262918 .0377323 0.70 0.486 -.047681 .1002646 + 1507 | .1228285 .0504309 2.44 0.015 .0239605 .2216966 + 1520 | .0445756 .0377583 1.18 0.238 -.0294482 .1185994 + 1521 | .047794 .035815 1.33 0.182 -.0224201 .1180081 + 1522 | .1599608 .0492373 3.25 0.001 .0634329 .2564888 + 1523 | .1172731 .0354942 3.30 0.001 .0476879 .1868583 + 1524 | .0913958 .060092 1.52 0.128 -.0264125 .209204 + 1525 | .0381953 .0353069 1.08 0.279 -.0310225 .1074132 + 1526 | .0046806 .0384484 0.12 0.903 -.070696 .0800573 + 1599 | .0758095 .0449888 1.69 0.092 -.0123894 .1640084 + 1600 | .3149842 .0491807 6.40 0.000 .2185673 .4114012 + 1602 | .0819304 .0550229 1.49 0.137 -.02594 .1898008 + 1603 | .1805708 .0614655 2.94 0.003 .0600699 .3010718 + 1604 | .1064274 .0689882 1.54 0.123 -.0288215 .2416762 + 1605 | .0432372 .0421247 1.03 0.305 -.0393468 .1258211 + 1606 | .1800634 .0698895 2.58 0.010 .0430475 .3170794 + 1608 | .0651295 .0347163 1.88 0.061 -.0029306 .1331896 + 1609 | .0639728 .0349873 1.83 0.068 -.0046187 .1325642 + 1610 | .0975886 .0425567 2.29 0.022 .0141578 .1810195 + 1611 | .1312442 .0407125 3.22 0.001 .0514288 .2110596 + 1612 | .082877 .0386593 2.14 0.032 .0070868 .1586671 + 1614 | .0421637 .0455114 0.93 0.354 -.0470598 .1313872 + 1615 | .0667599 .0418107 1.60 0.110 -.0152086 .1487284 + 1616 | .0316313 .0361485 0.88 0.382 -.0392366 .1024992 + 1617 | .045244 .0413285 1.09 0.274 -.0357791 .1262671 + 1619 | .0705563 .0462295 1.53 0.127 -.020075 .1611876 + 1620 | -.0215916 .0406143 -0.53 0.595 -.1012144 .0580313 + 1698 | .025815 .0574096 0.45 0.653 -.0867344 .1383645 + 1699 | .0528109 .039153 1.35 0.177 -.0239472 .1295691 + 1700 | .0969114 .0628753 1.54 0.123 -.0263533 .2201761 + 1701 | .1024705 .057657 1.78 0.076 -.010564 .2155051 + 1704 | .1871979 .0714898 2.62 0.009 .0470447 .3273512 + 1705 | .0951444 .0725707 1.31 0.190 -.0471279 .2374166 + 1706 | .058603 .038625 1.52 0.129 -.0171199 .1343259 + 1707 | .0184934 .037133 0.50 0.618 -.0543046 .0912914 + 1708 | .1465314 .0581852 2.52 0.012 .0324615 .2606013 + 1709 | .0810214 .0420632 1.93 0.054 -.001442 .1634848 + 1798 | .0969868 .044075 2.20 0.028 .0105794 .1833943 + 1799 | .228505 .1099741 2.08 0.038 .0129047 .4441053 + 1800 | .1607106 .0456137 3.52 0.000 .0712866 .2501346 + 1802 | .1065999 .0378989 2.81 0.005 .0323004 .1808994 + 1803 | .067205 .041446 1.62 0.105 -.0140484 .1484583 + 1804 | .0553779 .0416857 1.33 0.184 -.0263454 .1371012 + 1806 | .0914771 .0475323 1.92 0.054 -.0017082 .1846624 + 1807 | -.0438901 .0342056 -1.28 0.200 -.110949 .0231688 + 1808 | .0063551 .0587011 0.11 0.914 -.1087262 .1214365 + 1899 | -.1372439 .0945361 -1.45 0.147 -.3225786 .0480908 + 1900 | .1341406 .0490902 2.73 0.006 .037901 .2303802 + 1901 | .0782595 .039303 1.99 0.047 .0012073 .1553117 + 1902 | .1606642 .0541289 2.97 0.003 .0545465 .266782 + 1905 | .1179479 .0464248 2.54 0.011 .0269337 .2089621 + 1906 | -.0052955 .0364242 -0.15 0.884 -.0767039 .0661128 + 1907 | .0688346 .0743984 0.93 0.355 -.0770208 .2146901 + 1908 | .0248082 .0563607 0.44 0.660 -.085685 .1353014 + 1909 | .1934118 .0712026 2.72 0.007 .0538218 .3330019 + 1910 | .0070638 .0748881 0.09 0.925 -.1397516 .1538791 + 1911 | .0977567 .0659018 1.48 0.138 -.0314414 .2269548 + 1912 | -.0292542 .0437445 -0.67 0.504 -.1150137 .0565052 + 1914 | .0175115 .0444913 0.39 0.694 -.0697121 .1047351 + 1915 | .3062967 .1098388 2.79 0.005 .0909617 .5216318 + 1919 | .1171961 .0551855 2.12 0.034 .009007 .2253853 + 1920 | .0478178 .0456369 1.05 0.295 -.0416518 .1372873 + 1925 | .0439711 .0464859 0.95 0.344 -.0471628 .135105 + 1926 | .0462936 .0452413 1.02 0.306 -.0424003 .1349876 + 1927 | .08998 .0462474 1.95 0.052 -.0006864 .1806463 + 1929 | .0814669 .0425675 1.91 0.056 -.0019851 .1649189 + 1999 | -.1180578 .0729886 -1.62 0.106 -.2611494 .0250338 + 2000 | .1931698 .0437177 4.42 0.000 .1074627 .2788768 + 2001 | .0838477 .0399714 2.10 0.036 .0054852 .1622101 + 2002 | .1044047 .0376312 2.77 0.006 .0306301 .1781792 + 2003 | .0143597 .0396444 0.36 0.717 -.0633617 .0920811 + 2004 | .0049006 .0338426 0.14 0.885 -.0614466 .0712477 + 2005 | .090682 .0661739 1.37 0.171 -.0390495 .2204136 + 2006 | .1137175 .0383826 2.96 0.003 .0384698 .1889653 + 2007 | .039162 .0378346 1.04 0.301 -.0350115 .1133354 + 2008 | .4795662 .0350346 13.69 0.000 .4108821 .5482503 + 2009 | .0915177 .0455176 2.01 0.044 .002282 .1807534 + 2010 | -.2219803 .0357452 -6.21 0.000 -.2920574 -.1519031 + 2011 | .0275659 .0348709 0.79 0.429 -.0407973 .0959291 + 2012 | .0230834 .0345313 0.67 0.504 -.0446139 .0907808 + 2013 | -.0053618 .0413031 -0.13 0.897 -.0863352 .0756115 + 2014 | .2259989 .0599098 3.77 0.000 .1085478 .34345 + 2015 | .0901987 .0637392 1.42 0.157 -.0347598 .2151571 + 2030 | .1461344 .0560608 2.61 0.009 .0362292 .2560396 + 2099 | .1258482 .0497718 2.53 0.011 .0282723 .223424 + 2100 | .1877726 .0492315 3.81 0.000 .0912559 .2842892 + 2101 | .1439733 .0345502 4.17 0.000 .0762388 .2117078 + 2102 | .1274315 .0363056 3.51 0.000 .0562557 .1986072 + 2103 | .1497039 .0353647 4.23 0.000 .0803726 .2190351 + 2104 | .1700011 .0360657 4.71 0.000 .0992956 .2407067 + 2105 | -.0547364 .042543 -1.29 0.198 -.1381404 .0286675 + 2199 | .0459356 .0883587 0.52 0.603 -.1272884 .2191596 + 9999 | .051354 .0450951 1.14 0.255 -.0370534 .1397613 + | + house_administration | .0035966 .0126924 0.28 0.777 -.0212863 .0284796 + house_agriculture | -.0267132 .0096103 -2.78 0.005 -.0455539 -.0078726 + house_appropriations | .2264518 .0353159 6.41 0.000 .1572162 .2956873 + house_armedservices | -.072555 .0085392 -8.50 0.000 -.0892957 -.0558143 + house_budget | .0487723 .0183888 2.65 0.008 .0127217 .0848228 + house_dc | -.0407775 .0713367 -0.57 0.568 -.1806305 .0990756 + house_educlabor | -.013933 .0065941 -2.11 0.035 -.0268605 -.0010054 + house_energycommerce | -.0096561 .0052045 -1.86 0.064 -.0198594 .0005473 + house_foreignaffairs | -.0113073 .0145818 -0.78 0.438 -.0398945 .0172798 + house_governmentop | -.0370217 .0160787 -2.30 0.021 -.0685435 -.0054999 + house_intelligence | .02969 .0276924 1.07 0.284 -.0245999 .0839799 + house_interior | .064954 .0161795 4.01 0.000 .0332347 .0966732 + house_judiciary | .0044763 .0065693 0.68 0.496 -.0084027 .0173552 + house_mmf | .0323188 .0180825 1.79 0.074 -.0031313 .0677689 + house_pocs | .0289251 .014332 2.02 0.044 .0008276 .0570225 + house_pwt | -.0234542 .0128977 -1.82 0.069 -.0487397 .0018314 + house_rules | -.0340692 .0119329 -2.86 0.004 -.0574633 -.0106752 + house_sst | -.0408695 .0253136 -1.61 0.106 -.0904958 .0087568 + house_smallbusi | .0926705 .0243963 3.80 0.000 .0448425 .1404985 + house_soc | .1223191 .076958 1.59 0.112 -.0285543 .2731925 + house_veterans | .0166716 .0129506 1.29 0.198 -.0087176 .0420608 + house_waysandmeans | -.0604072 .0044832 -13.47 0.000 -.0691963 -.051618 + house_naturalresources | .014594 .0137435 1.06 0.288 -.0123496 .0415376 + house_bfs | .0094358 .008118 1.16 0.245 -.0064793 .0253509 + house_eeo | -.0004209 .016506 -0.03 0.980 -.0327803 .0319386 + house_govreform | .0267208 .009786 2.73 0.006 .0075357 .0459059 + house_ir | .0241591 .0146493 1.65 0.099 -.0045602 .0528784 + house_natsecur | -.089366 .0134965 -6.62 0.000 -.1158254 -.0629066 + house_oversight | .0058765 .0132954 0.44 0.659 -.0201887 .0319417 + house_resources | .056504 .0116632 4.84 0.000 .0336387 .0793692 + house_science | .0588796 .0181073 3.25 0.001 .0233809 .0943782 + house_transp | -.0293661 .0090304 -3.25 0.001 -.0470698 -.0116624 + house_homeland | .0608917 .0204845 2.97 0.003 .0207326 .1010508 + sponsor_democrat | -.0033278 .0048478 -0.69 0.492 -.0128318 .0061762 + sponsor_rookie | .0193583 .0071272 2.72 0.007 .0053856 .0333309 + sponsor_tenure_run | .0066282 .0010967 6.04 0.000 .0044782 .0087782 + sponsor_age | -.0001632 .0002964 -0.55 0.582 -.0007442 .0004178 + leader | .0514524 .0094709 5.43 0.000 .032885 .0700198 + ivycoll | -.0068689 .006544 -1.05 0.294 -.0196983 .0059604 + black | -.0201541 .0166921 -1.21 0.227 -.0528784 .0125703 + occ0 | -.0099115 .0072476 -1.37 0.172 -.0241201 .0042972 + occ1 | -.0110445 .0080944 -1.36 0.172 -.0269132 .0048242 + occ2 | -.0131059 .0069278 -1.89 0.059 -.0266877 .0004759 + occ3 | -.0214842 .0099252 -2.16 0.030 -.0409422 -.0020262 + occ4 | -.0114334 .0072185 -1.58 0.113 -.0255851 .0027183 + borninstate | .0037935 .0046826 0.81 0.418 -.0053867 .0129737 + tot_bills | -.0004045 .0002442 -1.66 0.098 -.0008834 .0000743 + NE | -.0228304 .0072679 -3.14 0.002 -.0370788 -.0085819 + MW | -.0118809 .0070574 -1.68 0.092 -.0257167 .0019548 + WE | -.0066692 .007781 -0.86 0.391 -.0219236 .0085851 + pct_black | -.0080421 .0324431 -0.25 0.804 -.0716456 .0555614 + pct_urban | -.0157377 .0156138 -1.01 0.314 -.0463479 .0148725 + pct_for_born | -.023187 .0334373 -0.69 0.488 -.0887395 .0423656 + pct_age_over65 | -.0540645 .0622182 -0.87 0.385 -.176041 .067912 + lninc | -.0085622 .01328 -0.64 0.519 -.0345971 .0174728 + lnpden | .0024513 .0022407 1.09 0.274 -.0019414 .0068441 + _cons | .1042036 .1348999 0.77 0.440 -.1602629 .36867 +---------------------------------------------------------------------------------------------------------------------------- + +. +. test 1.sponsor_female#c.numb_cosponsors 1.sponsor_female#c.pct_cosponsors_opposite 1.sponsor_female#c.numb_cosponsors#c.pct_cosponsors_opposite + + ( 1) 1.sponsor_female#c.numb_cosponsors = 0 + ( 2) 1.sponsor_female#c.pct_cosponsors_opposite = 0 + ( 3) 1.sponsor_female#c.numb_cosponsors#c.pct_cosponsors_opposite = 0 + + F( 3, 4745) = 1.96 + Prob > F = 0.1172 + +. test 1.sponsor_female 1.sponsor_female#c.numb_cosponsors 1.sponsor_female#c.pct_cosponsors_opposite 1.sponsor_female#c.numb_cosponsors#c.pct_cosponsors_opposite + + ( 1) 1.sponsor_female = 0 + ( 2) 1.sponsor_female#c.numb_cosponsors = 0 + ( 3) 1.sponsor_female#c.pct_cosponsors_opposite = 0 + ( 4) 1.sponsor_female#c.numb_cosponsors#c.pct_cosponsors_opposite = 0 + + F( 4, 4745) = 3.22 + Prob > F = 0.0119 + +. +. log close + name: + log: /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Log/Table1.log + log type: text + closed on: 11 May 2021, 23:46:48 +--------------------------------------------------------------------------------------------------------------------------------------------------------------------- diff --git a/30/replication_package/Log/Table10.log b/30/replication_package/Log/Table10.log new file mode 100644 index 0000000000000000000000000000000000000000..c8e88b83743a52f08fd11b481d66b1dcae920a8f --- /dev/null +++ b/30/replication_package/Log/Table10.log @@ -0,0 +1,5905 @@ +--------------------------------------------------------------------------------------------------------------------------------------------------------------------- + name: + log: /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Log/Table10.log + log type: text + opened on: 8 Jul 2021, 12:36:44 + +. +. +. use "$AnalysisData/bills_analysis_101-111_replication.dta" +(Bill-level data set. Each observation is an individual bill.) + +. keep if private==0 +(1,546 observations deleted) + +. +. bysort v2 sponsor_state_abbrev sponsor_district sponsor_term_served: egen tot_bills=count(v2) + +. +. gen byte sponsor_democrat = sponsor_party==100 if sponsor_party~=. +(1,036 missing values generated) + +. +. gen byte NE = sponsor_state_icpsr>=1 & sponsor_state_icpsr<=14 if sponsor_state_icpsr~=. +(1,015 missing values generated) + +. gen byte MW = sponsor_state_icpsr>=21 & sponsor_state_icpsr<=37 if sponsor_state_icpsr~=. +(1,015 missing values generated) + +. gen byte SO = sponsor_state_icpsr>=40 & sponsor_state_icpsr<=56 if sponsor_state_icpsr~=. +(1,015 missing values generated) + +. gen byte WE = sponsor_state_icpsr>=61 & sponsor_state_icpsr<=82 if sponsor_state_icpsr~=. +(1,015 missing values generated) + +. +. replace sponsor_age=. if sponsor_age>100 +(0 real changes made) + +. gen sponsor_rookie=(sponsor_tenure_run==1) if sponsor_tenure_run!=. +(1,015 missing values generated) + +. gen byte leader = (comc==1) | (comr==1) if comc~=. & comr~=. +(1,015 missing values generated) + +. +. gen lnpden=lnpop-lnarea +(1,015 missing values generated) + +. gen absMV=abs(MV1_democrat) +(6,677 missing values generated) + +. +. egen tag_congressmen=tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) + +. egen group_congressmen = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +(1,015 missing values generated) + +. egen tag_sponsor = tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) + +. egen group_sponsor = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +(1,015 missing values generated) + +. +. cap drop pct_cosponsors_opposite + +. gen pct_cosponsors_opposite=100*numb_cosponsors_opposite/(numb_cosponsors+1) +(1,015 missing values generated) + +. replace pct_cosponsors_opposite=. if pct_cosponsors_opposite>100 +(3 real changes made, 3 to missing) + +. +. foreach num of numlist 1 3 { + 2. foreach var of varlist numb_cosponsors numb_cosponsors_opposite { + 3. gen `var'`num'=`var' if women_friend`num'==1 + 4. replace `var'`num'=0 if women_friend`num'==0 + 5. } + 6. gen pct_cosponsors_opposite`num'=100*numb_cosponsors_opposite`num'/(numb_cosponsors`num'+1) + 7. replace pct_cosponsors_opposite`num'=. if pct_cosponsors_opposite`num'>100 + 8. } +(42,114 missing values generated) +(41,922 real changes made) +(41,922 missing values generated) +(41,922 real changes made) +(192 missing values generated) +(2 real changes made, 2 to missing) +(51,059 missing values generated) +(50,956 real changes made) +(50,974 missing values generated) +(50,956 real changes made) +(103 missing values generated) +(1 real change made, 1 to missing) + +. +. compress + variable tot_bills was float now int + variable sponsor_rookie was float now byte + variable group_congressmen was float now int + variable group_sponsor was float now int + variable numb_cosponsors1 was float now int + variable numb_cosponsors_opposite1 was float now int + variable numb_cosponsors3 was float now int + variable numb_cosponsors_opposite3 was float now int + (1,059,933 bytes saved) + +. +. egen tag_bill = tag(v2 HRnumber) + +. +. gen int decade = 1980 if v2<=102 +(50,563 missing values generated) + +. replace decade=1990 if v2>=103 & v2<=107 +(25,238 real changes made) + +. replace decade=2000 if v2>=108 +(25,325 real changes made) + +. +. egen district_id = group(decade sponsor_state_abbrev sponsor_district) +(1,015 missing values generated) + +. +. local controls1 = "i.v2 " + +. local controls2 = "i.v2 MV1_female femaleXMV1_female " + +. local controls3 = "i.v2 MV1_female femaleXMV1_female " + +. local controls4 = "i.v2 " + +. local controls5 = "i.v2 " + +. +. local other_controls = "i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate to +> t_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden" + +. local billchars = "i.minor house_*" + +. local indivchars = "sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate tot_bills" + +. local districtchars = "NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden" + +. +. local if1 = "if tag_bill==1" + +. local if2 = "if sponsor_party==100 & tag_bill==1" + +. local if3 = "if sponsor_party==200 & tag_bill==1" + +. +. foreach depvar of varlist pct_cosponsors_opposite { + 2. foreach num of numlist 1 { + 3. forvalues l = 0/1 { + 4. forvalues j = 1/5 { + 5. forvalues k = 1/3 { + 6. qui reg `depvar' sponsor_female `controls2' `other_controls' `if`k'' & mixed_gender_election==1 & women_friend`num'==`l', robust cluster(grou +> p_sponsor) + 7. qui gen sample=e(sample) + 8. +. di "" + 9. di "" + 10. di "j = ", `j', "k = ", `k' + 11. di "" + 12. di "" + 13. +. di "rdbwselect_2014 `depvar' MV1_female `if`k'', c(0) kernel(uniform)" + 14. rdbwselect_2014 `depvar' MV1_female `if`k'', c(0) kernel(uniform) + 15. local band = e(h_CCT) + 16. +. if `j'==1 { + 17. di "reg `depvar' sponsor_female `controls`j'' `other_controls' `if`k'' & women_friend`num'==`l', robust cluster(group_sponsor)" + 18. reg `depvar' sponsor_female `controls`j'' `other_controls' `if`k'' & women_friend`num'==`l', robust cluster(group_sponsor) + 19. } + 20. else if `j'==2 { + 21. di "reg `depvar' sponsor_female `controls`j'' `if`k'' & sample==1 & abs(MV1_female)<=`band' & women_friend`num'==`l', robust cluster(group +> _sponsor)" + 22. reg `depvar' sponsor_female `controls`j'' `if`k'' & sample==1 & abs(MV1_female)<=`band' & women_friend`num'==`l', robust cluster(group_spo +> nsor) + 23. } + 24. else if `j'==3 { + 25. qui probit sponsor_female i.v2 `districtchars' `if`k'' & tag_sponsor==1 & abs(MV1_female)<=`band' + 26. predict pscore if sample==1 + 27. gen wt = 1/pscore if sponsor_female==1 + 28. replace wt =1/(1-pscore) if sponsor_female==0 + 29. di "reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & sample==1 & women_friend`num'==`l' & abs(MV1_female)<=`band', +> robust cluster(group_sponsor)" + 30. reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & sample==1 & women_friend`num'==`l' & abs(MV1_female)<=`band', robust c +> luster(group_sponsor) + 31. drop pscore wt + 32. } + 33. else if `j'==4 { + 34. qui probit sponsor_female i.v2 `districtchars' absMV `if`k'' & tag_sponsor==1 + 35. predict pscore + 36. gen wt = 1/pscore if sponsor_female==1 + 37. replace wt =1/(1-pscore) if sponsor_female==0 + 38. di "reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & women_friend`num'==`l', robust cluster(group_sponsor)" + 39. reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & women_friend`num'==`l', robust cluster(group_sponsor) + 40. drop pscore wt + 41. } + 42. else if `j'==5 { + 43. qui probit sponsor_female i.v2 `districtchars' `indivchars' absMV `if`k'' & tag_sponsor==1 + 44. predict pscore + 45. gen wt = 1/pscore if sponsor_female==1 + 46. replace wt =1/(1-pscore) if sponsor_female==0 + 47. di "reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & women_friend`num'==`l', robust cluster(group_sponsor)" + 48. reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & women_friend`num'==`l', robust cluster(group_sponsor) + 49. drop pscore wt + 50. } + 51. +. if `j'~=2 & `j'~=3 { + 52. scalar b_col`j'_row`k' = _b[sponsor_female] + 53. scalar se_col`j'_row`k' = _se[sponsor_female] + 54. scalar n_col`j'_row`k' = e(N) + 55. sum tag_congressmen if tag_congressmen==1 & e(sample) + 56. scalar ni_col`j'_row`k' = e(N_clust) + 57. scalar ob_col`j'_row`k' = . + 58. } + 59. else if `j'==2 | `j'==3 { + 60. scalar b_col`j'_row`k' = _b[sponsor_female] + 61. scalar se_col`j'_row`k' = _se[sponsor_female] + 62. scalar n_col`j'_row`k' = e(N) + 63. sum tag_congressmen if tag_congressmen==1 & e(sample) + 64. scalar ni_col`j'_row`k' = e(N_clust) + 65. scalar ob_col`j'_row`k' = round(`band') + 66. } + 67. +. drop sample + 68. } // closes j loop + 69. } // closes k loop + 70. +. preserve + 71. +. * Display results +. +. forvalues i = 1/5 { + 72. gen var`i' =. + 73. } + 74. gen str20 var6 = "" + 75. +. forvalues j=1/5 { + 76. forvalues k = 1/3 { + 77. replace var`j' = b_col`j'_row`k' if _n==6*(`k'-1)+1 + 78. replace var`j' = se_col`j'_row`k' if _n==6*(`k'-1)+2 + 79. replace var`j' = n_col`j'_row`k' if _n==6*(`k'-1)+3 + 80. replace var`j' = ni_col`j'_row`k' if _n==6*(`k'-1)+4 + 81. replace var`j' = ob_col`j'_row`k' if _n==6*(`k'-1)+5 + 82. } + 83. } + 84. +. keep var1-var6 + 85. keep if _n<=18 + 86. +. order var6 var1-var5 + 87. +. ren var6 sampletype + 88. ren var1 OLS_all + 89. ren var2 RD_bwidth + 90. ren var3 RD_match_bw + 91. ren var4 PS_match + 92. ren var5 PS_match_indiv + 93. +. foreach var of varlist OLS_all RD_bwidth RD_match_bw PS_match PS_match_indiv { + 94. gen str3 `var'_stars ="*" if abs(`var'/`var'[_n+1])>=1.645 & mod(_n,6)==1 + 95. replace `var'_stars ="**" if abs(`var'/`var'[_n+1])>=1.96 & mod(_n,6)==1 + 96. replace `var'_stars="***" if abs(`var'/`var'[_n+1])>=2.58 & mod(_n,6)==1 + 97. } + 98. +. replace sampletype = "All" if _n>=1 & _n<=5 + 99. replace sampletype = "Democrats" if _n>=7 & _n<=11 +100. replace sampletype = "Republicans" if _n>=13 & _n<=17 +101. +. order sampletype OLS_all OLS_all_stars RD_bwidth RD_bwidth_stars RD_match_bw RD_match_bw_stars PS_match PS_match_stars PS_match_indiv PS_match_indiv_stars +102. export excel using "$Output/Table10_`depvar'_WF`num'`l'", firstrow(var) replace +103. restore +104. } // closes l loop +105. } // closes num loop +106. } + + +j = 1 k = 1 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11989 +----------------------+---------------------- NN matches = 3 + Number of obs | 6150 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 15.71586 27.17455 .5783301 +---------------------------------------------- +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 o +> cc3 occ4 borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if tag_bill==1 & women_friend1==0, robust cluster(group_sponso +> r) + +Linear regression Number of obs = 40,597 + F(220, 4647) = . + Prob > F = . + R-squared = 0.1058 + Root MSE = 20.124 + + (Std. Err. adjusted for 4,648 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -.7323422 .5190282 -1.41 0.158 -1.749884 .2851995 + | + v2 | + 102 | -1.976687 .7550463 -2.62 0.009 -3.456937 -.4964383 + 103 | -2.502555 .9985254 -2.51 0.012 -4.460138 -.544971 + 104 | -3.469279 1.070594 -3.24 0.001 -5.568152 -1.370406 + 105 | -3.105553 1.05664 -2.94 0.003 -5.177068 -1.034038 + 106 | -1.633904 1.061498 -1.54 0.124 -3.714945 .4471368 + 107 | -1.76289 1.062714 -1.66 0.097 -3.846313 .3205327 + 108 | -4.029838 2.956491 -1.36 0.173 -9.825964 1.766288 + 109 | -4.736864 2.947076 -1.61 0.108 -10.51453 1.040803 + 110 | -4.26672 2.965247 -1.44 0.150 -10.08001 1.546572 + 111 | -5.518608 3.009521 -1.83 0.067 -11.4187 .3814802 + | + minor | + 101 | -1.107672 3.983367 -0.28 0.781 -8.916961 6.701618 + 103 | -1.247833 3.895747 -0.32 0.749 -8.885346 6.38968 + 104 | -1.15563 2.831398 -0.41 0.683 -6.706514 4.395255 + 105 | .8349573 2.272174 0.37 0.713 -3.619583 5.289497 + 107 | .056733 2.014602 0.03 0.978 -3.892843 4.006309 + 108 | 4.46171 3.284385 1.36 0.174 -1.977242 10.90066 + 110 | -7.80433 2.340564 -3.33 0.001 -12.39295 -3.215714 + 400 | 3.123079 2.80249 1.11 0.265 -2.371132 8.61729 + 401 | 6.662129 2.710788 2.46 0.014 1.347698 11.97656 + 402 | 6.917009 2.220342 3.12 0.002 2.564084 11.26993 + 403 | 2.347398 2.307322 1.02 0.309 -2.176047 6.870844 + 404 | 7.918491 3.012057 2.63 0.009 2.01343 13.82355 + 405 | 17.10972 3.576559 4.78 0.000 10.09797 24.12147 + 498 | 9.723157 3.466114 2.81 0.005 2.927929 16.51839 + 499 | 4.590207 3.432787 1.34 0.181 -2.139685 11.3201 + 700 | 6.947034 2.436892 2.85 0.004 2.169568 11.7245 + 701 | 5.276373 2.340185 2.25 0.024 .6884986 9.864246 + 703 | 6.758042 2.385207 2.83 0.005 2.081904 11.43418 + 704 | 3.423976 2.219603 1.54 0.123 -.9274987 7.77545 + 705 | 3.487492 2.33563 1.49 0.135 -1.091451 8.066435 + 707 | 7.447448 2.608184 2.86 0.004 2.334169 12.56073 + 708 | .5274209 2.727275 0.19 0.847 -4.819332 5.874174 + 709 | 9.107683 2.207351 4.13 0.000 4.780226 13.43514 + 710 | 8.695419 2.320739 3.75 0.000 4.145669 13.24517 + 711 | 7.954998 2.545302 3.13 0.002 2.964998 12.945 + 798 | 7.746273 3.207337 2.42 0.016 1.45837 14.03418 + 799 | 5.852141 3.832183 1.53 0.127 -1.660758 13.36504 + 800 | 1.63605 2.392852 0.68 0.494 -3.055075 6.327175 + 801 | 5.993867 2.770227 2.16 0.031 .5629076 11.42483 + 802 | 6.022617 2.361387 2.55 0.011 1.393178 10.65206 + 803 | 2.866115 2.146054 1.34 0.182 -1.341169 7.0734 + 805 | 6.863942 3.314522 2.07 0.038 .365906 13.36198 + 806 | 7.902582 2.256369 3.50 0.000 3.479029 12.32614 + 807 | 7.582454 2.468822 3.07 0.002 2.742391 12.42252 + 898 | 3.946786 3.669259 1.08 0.282 -3.246704 11.14028 + 899 | -1.671585 4.443781 -0.38 0.707 -10.3835 7.040335 + 1000 | 6.808403 2.713698 2.51 0.012 1.488267 12.12854 + 1001 | 9.374953 3.084218 3.04 0.002 3.328422 15.42148 + 1002 | 6.902058 2.365523 2.92 0.004 2.264509 11.53961 + 1003 | 7.167844 2.173265 3.30 0.001 2.907214 11.42847 + 1005 | 6.471376 2.648971 2.44 0.015 1.278136 11.66462 + 1006 | 8.142995 2.384162 3.42 0.001 3.468905 12.81708 + 1007 | 7.035051 2.353324 2.99 0.003 2.421419 11.64868 + 1010 | 1.723232 3.183359 0.54 0.588 -4.517662 7.964125 + 1098 | 2.011084 4.107539 0.49 0.624 -6.041642 10.06381 + 1099 | 4.302233 7.385406 0.58 0.560 -10.17667 18.78113 + 1400 | 5.094302 2.362553 2.16 0.031 .4625761 9.726028 + 1401 | 7.18617 2.543345 2.83 0.005 2.200007 12.17233 + 1403 | 6.396255 3.096777 2.07 0.039 .3251015 12.46741 + 1404 | 4.473156 3.880848 1.15 0.249 -3.135148 12.08146 + 1405 | 7.375868 2.692506 2.74 0.006 2.097278 12.65446 + 1406 | 2.256829 2.247468 1.00 0.315 -2.149275 6.662933 + 1407 | 11.97828 3.00568 3.99 0.000 6.085717 17.87084 + 1408 | 1.126987 3.326504 0.34 0.735 -5.39454 7.648515 + 1409 | 9.138737 3.47196 2.63 0.009 2.332048 15.94543 + 1410 | 7.696462 2.845496 2.70 0.007 2.117939 13.27498 + 1499 | 3.131809 4.360083 0.72 0.473 -5.416024 11.67964 + 1500 | 3.431193 2.821514 1.22 0.224 -2.100313 8.9627 + 1501 | 5.291576 2.14408 2.47 0.014 1.088161 9.494991 + 1502 | 4.757262 2.214793 2.15 0.032 .4152151 9.099308 + 1504 | 4.614792 2.225867 2.07 0.038 .2510366 8.978548 + 1505 | 9.895465 2.601577 3.80 0.000 4.795139 14.99579 + 1507 | 6.026283 2.801537 2.15 0.032 .53394 11.51863 + 1520 | 2.713855 2.399018 1.13 0.258 -1.989359 7.417069 + 1521 | 5.234212 2.195855 2.38 0.017 .9292932 9.539131 + 1522 | 16.37311 2.650948 6.18 0.000 11.176 21.57023 + 1523 | 5.569866 2.163275 2.57 0.010 1.328821 9.81091 + 1524 | 13.76901 4.298343 3.20 0.001 5.342213 22.1958 + 1525 | 3.676727 2.192473 1.68 0.094 -.6215603 7.975015 + 1526 | 10.79813 2.579371 4.19 0.000 5.741341 15.85492 + 1599 | 10.69403 3.488295 3.07 0.002 3.85532 17.53275 + 1600 | 7.343081 2.601579 2.82 0.005 2.242752 12.44341 + 1602 | 1.416491 3.250686 0.44 0.663 -4.956398 7.789379 + 1603 | .0437294 3.006733 0.01 0.988 -5.850894 5.938353 + 1604 | 9.285774 4.400316 2.11 0.035 .6590655 17.91248 + 1605 | 3.665667 2.767062 1.32 0.185 -1.759088 9.090423 + 1606 | 9.721479 3.547251 2.74 0.006 2.767183 16.67578 + 1608 | 8.329158 2.12369 3.92 0.000 4.165718 12.4926 + 1609 | 9.652425 2.192081 4.40 0.000 5.354904 13.94994 + 1610 | 6.029411 3.035571 1.99 0.047 .0782505 11.98057 + 1611 | 4.562181 2.646658 1.72 0.085 -.6265261 9.750887 + 1612 | 7.430423 2.572491 2.89 0.004 2.38712 12.47373 + 1614 | 6.336818 3.519363 1.80 0.072 -.5628041 13.23644 + 1615 | 5.392554 2.520849 2.14 0.032 .4504931 10.33462 + 1616 | 4.436498 2.547387 1.74 0.082 -.5575889 9.430586 + 1617 | 4.140429 3.192013 1.30 0.195 -2.117433 10.39829 + 1619 | .8256019 2.610458 0.32 0.752 -4.292134 5.943338 + 1620 | 10.0097 3.98135 2.51 0.012 2.204361 17.81503 + 1698 | 11.00214 4.537152 2.42 0.015 2.107172 19.89712 + 1699 | 11.44252 2.522572 4.54 0.000 6.497087 16.38796 + 1700 | 7.456493 3.480159 2.14 0.032 .6337286 14.27926 + 1701 | 8.223617 2.941586 2.80 0.005 2.456712 13.99052 + 1704 | 13.7331 4.220142 3.25 0.001 5.459622 22.00658 + 1705 | 4.70337 4.701112 1.00 0.317 -4.513041 13.91978 + 1706 | 9.312515 2.386729 3.90 0.000 4.633394 13.99164 + 1707 | 7.944948 2.334619 3.40 0.001 3.367987 12.52191 + 1708 | 11.83414 3.152825 3.75 0.000 5.653105 18.01517 + 1709 | 12.9489 2.573623 5.03 0.000 7.903378 17.99442 + 1798 | 8.466757 2.839914 2.98 0.003 2.899177 14.03434 + 1799 | 3.147187 5.221025 0.60 0.547 -7.0885 13.38287 + 1800 | 1.634264 2.595033 0.63 0.529 -3.453232 6.721761 + 1802 | 6.585971 2.375969 2.77 0.006 1.927944 11.244 + 1803 | 4.045837 2.470775 1.64 0.102 -.7980541 8.889727 + 1804 | 5.524275 2.958425 1.87 0.062 -.2756426 11.32419 + 1806 | 3.82744 2.971882 1.29 0.198 -1.998858 9.653739 + 1807 | -7.966989 2.006265 -3.97 0.000 -11.90022 -4.033759 + 1808 | 2.056979 5.115251 0.40 0.688 -7.971341 12.0853 + 1899 | 1.260975 6.464922 0.20 0.845 -11.41334 13.93529 + 1900 | 5.038685 2.914122 1.73 0.084 -.6743776 10.75175 + 1901 | 4.873548 2.341019 2.08 0.037 .2840386 9.463057 + 1902 | 10.42422 3.028156 3.44 0.001 4.487593 16.36084 + 1905 | 8.225746 3.223715 2.55 0.011 1.905735 14.54576 + 1906 | 6.039623 2.732443 2.21 0.027 .6827373 11.39651 + 1907 | 13.46284 4.118409 3.27 0.001 5.388801 21.53687 + 1908 | 9.51738 4.218026 2.26 0.024 1.248047 17.78671 + 1909 | 16.83655 4.891264 3.44 0.001 7.247347 26.42574 + 1910 | 7.902782 5.35141 1.48 0.140 -2.588521 18.39409 + 1911 | 5.247107 3.588111 1.46 0.144 -1.787294 12.28151 + 1912 | -6.013522 3.59152 -1.67 0.094 -13.05461 1.027562 + 1914 | 3.031653 2.787844 1.09 0.277 -2.433844 8.49715 + 1915 | 16.09645 6.297619 2.56 0.011 3.750123 28.44277 + 1919 | 10.54024 3.644056 2.89 0.004 3.396157 17.68432 + 1920 | 7.44242 2.625384 2.83 0.005 2.295422 12.58942 + 1925 | 9.637854 3.058956 3.15 0.002 3.640848 15.63486 + 1926 | -.8913367 2.806225 -0.32 0.751 -6.392869 4.610195 + 1927 | 3.336789 2.696222 1.24 0.216 -1.949085 8.622662 + 1929 | 5.026621 2.716276 1.85 0.064 -.2985686 10.35181 + 1999 | 5.740539 7.672322 0.75 0.454 -9.300853 20.78193 + 2000 | .8653335 2.150008 0.40 0.687 -3.349702 5.080369 + 2001 | 2.433634 2.356955 1.03 0.302 -2.187117 7.054385 + 2002 | .9641944 2.170286 0.44 0.657 -3.290597 5.218986 + 2003 | 6.08301 2.465271 2.47 0.014 1.24991 10.91611 + 2004 | 7.804975 2.135544 3.65 0.000 3.618294 11.99165 + 2005 | 11.20537 4.585795 2.44 0.015 2.21504 20.19571 + 2006 | 18.97934 2.233566 8.50 0.000 14.60049 23.35819 + 2007 | -.5452277 2.378274 -0.23 0.819 -5.207773 4.117318 + 2008 | 16.40424 2.087272 7.86 0.000 12.3122 20.49629 + 2009 | 3.060836 3.17656 0.96 0.335 -3.16673 9.288401 + 2010 | -5.634824 2.204131 -2.56 0.011 -9.955967 -1.313681 + 2011 | 1.53482 2.163603 0.71 0.478 -2.706869 5.776509 + 2012 | -.9654171 2.118695 -0.46 0.649 -5.119066 3.188231 + 2013 | .0670386 3.672492 0.02 0.985 -7.132789 7.266866 + 2014 | 5.400926 2.964865 1.82 0.069 -.4116157 11.21347 + 2015 | 6.465989 3.433356 1.88 0.060 -.2650181 13.197 + 2030 | 2.312094 3.307331 0.70 0.485 -4.171844 8.796032 + 2099 | 7.164592 2.960205 2.42 0.016 1.361185 12.968 + 2100 | -1.046768 2.48459 -0.42 0.674 -5.917743 3.824206 + 2101 | 8.800279 2.089578 4.21 0.000 4.703714 12.89684 + 2102 | 8.546701 2.184056 3.91 0.000 4.264914 12.82849 + 2103 | 4.084548 2.105543 1.94 0.052 -.0433149 8.212411 + 2104 | 4.568982 2.154626 2.12 0.034 .3448928 8.793071 + 2105 | 9.972325 3.737098 2.67 0.008 2.645838 17.29881 + 2199 | 1.658412 7.725213 0.21 0.830 -13.48667 16.8035 + 9999 | 2.188047 2.69992 0.81 0.418 -3.105078 7.481171 + | + house_administration | -2.08926 .8637938 -2.42 0.016 -3.782705 -.395814 + house_agriculture | 1.581649 .6265277 2.52 0.012 .3533572 2.809941 + house_appropriations | -10.62489 1.217628 -8.73 0.000 -13.01202 -8.237759 + house_armedservices | -1.830578 .6553493 -2.79 0.005 -3.115374 -.5457828 + house_budget | -1.622469 1.079553 -1.50 0.133 -3.738906 .4939678 + house_dc | -4.30135 3.21347 -1.34 0.181 -10.60128 1.998577 + house_educlabor | -3.129536 .6940141 -4.51 0.000 -4.490133 -1.768939 + house_energycommerce | -.9097229 .4441967 -2.05 0.041 -1.780559 -.0388865 + house_foreignaffairs | 1.667652 .9114074 1.83 0.067 -.1191394 3.454443 + house_governmentop | .5225229 1.053256 0.50 0.620 -1.542358 2.587404 + house_intelligence | -3.866928 1.840313 -2.10 0.036 -7.474816 -.2590411 + house_interior | -2.621696 .9245526 -2.84 0.005 -4.434258 -.8091339 + house_judiciary | -.0924058 .4884051 -0.19 0.850 -1.049912 .8651 + house_mmf | 2.924071 1.13338 2.58 0.010 .7021084 5.146034 + house_pocs | 1.454186 1.108325 1.31 0.190 -.7186561 3.627029 + house_pwt | -.0872283 .9042905 -0.10 0.923 -1.860067 1.68561 + house_rules | -2.587736 .8369482 -3.09 0.002 -4.228552 -.9469205 + house_sst | 1.306769 1.610294 0.81 0.417 -1.850171 4.463709 + house_smallbusi | -1.396228 1.647563 -0.85 0.397 -4.626234 1.833777 + house_soc | 3.714048 4.269214 0.87 0.384 -4.655637 12.08373 + house_veterans | 1.220628 .9369172 1.30 0.193 -.6161746 3.05743 + house_waysandmeans | .5724932 .4237062 1.35 0.177 -.2581721 1.403158 +house_naturalresources | -2.238646 .781396 -2.86 0.004 -3.770553 -.7067387 + house_bfs | -1.53674 .5481815 -2.80 0.005 -2.611436 -.4620442 + house_eeo | -5.72725 2.057787 -2.78 0.005 -9.76149 -1.69301 + house_govreform | 2.624508 .6579608 3.99 0.000 1.334593 3.914424 + house_ir | 3.504867 .984771 3.56 0.000 1.574249 5.435486 + house_natsecur | -1.214955 1.385974 -0.88 0.381 -3.932122 1.502212 + house_oversight | -.9078575 .8534322 -1.06 0.287 -2.58099 .7652747 + house_resources | -3.109357 .6929775 -4.49 0.000 -4.467922 -1.750793 + house_science | 1.37991 1.044912 1.32 0.187 -.6686142 3.428434 + house_transp | .3496578 .6490481 0.54 0.590 -.9227845 1.6221 + house_homeland | .7953081 1.278648 0.62 0.534 -1.711449 3.302065 + sponsor_democrat | -5.113668 .3837117 -13.33 0.000 -5.865925 -4.361411 + sponsor_rookie | -2.314197 .5420006 -4.27 0.000 -3.376776 -1.251619 + sponsor_tenure_run | .0942457 .0667359 1.41 0.158 -.0365884 .2250797 + sponsor_age | .0122256 .0214926 0.57 0.569 -.0299101 .0543614 + leader | -.1480973 .5583756 -0.27 0.791 -1.242779 .9465839 + ivycoll | .1478045 .5237222 0.28 0.778 -.8789395 1.174549 + black | -1.881048 .8416079 -2.24 0.025 -3.530999 -.2310976 + occ0 | 2.190645 .5151423 4.25 0.000 1.180721 3.200568 + occ1 | 1.476931 .6092373 2.42 0.015 .2825373 2.671326 + occ2 | 1.870379 .4752214 3.94 0.000 .9387191 2.802038 + occ3 | -.4588803 .7486908 -0.61 0.540 -1.92667 1.008909 + occ4 | 2.038667 .5439617 3.75 0.000 .9722438 3.10509 + borninstate | .4069984 .3432432 1.19 0.236 -.2659211 1.079918 + tot_bills | -.0577374 .0146865 -3.93 0.000 -.0865298 -.0289449 + NE | -.6443375 .552019 -1.17 0.243 -1.726557 .4378817 + MW | -.9045652 .4842526 -1.87 0.062 -1.85393 .0447998 + WE | -2.002346 .5231671 -3.83 0.000 -3.028001 -.9766898 + pct_black | -.7607195 1.882615 -0.40 0.686 -4.451539 2.9301 + pct_urban | 2.237172 1.227341 1.82 0.068 -.168999 4.643344 + pct_for_born | -4.296108 2.484495 -1.73 0.084 -9.166897 .5746807 + pct_age_over65 | 22.18669 5.012308 4.43 0.000 12.36019 32.01319 + lninc | 2.499253 .9609356 2.60 0.009 .6153632 4.383143 + lnpden | -.2007243 .189189 -1.06 0.289 -.5716245 .170176 + _cons | -13.82073 9.743359 -1.42 0.156 -32.92234 5.280879 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 3,213 1 0 1 1 + + +j = 1 k = 2 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6186 +----------------------+---------------------- NN matches = 3 + Number of obs | 2192 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 24.47749 44.63704 .5483673 +---------------------------------------------- +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 o +> cc3 occ4 borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if sponsor_party==100 & tag_bill==1 & women_friend1==0, robust +> cluster(group_sponsor) +note: sponsor_democrat omitted because of collinearity + +Linear regression Number of obs = 21,125 + F(219, 2433) = . + Prob > F = . + R-squared = 0.0967 + Root MSE = 18.188 + + (Std. Err. adjusted for 2,434 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -2.040329 .5251798 -3.89 0.000 -3.070175 -1.010484 + | + v2 | + 102 | -1.815239 .7333705 -2.48 0.013 -3.253335 -.3771442 + 103 | 1.128701 1.092095 1.03 0.301 -1.012831 3.270233 + 104 | -1.325082 1.242032 -1.07 0.286 -3.760632 1.110467 + 105 | -.6041484 1.179874 -0.51 0.609 -2.917809 1.709513 + 106 | -.187272 1.142516 -0.16 0.870 -2.427676 2.053132 + 107 | -.3851708 1.188046 -0.32 0.746 -2.714857 1.944516 + 108 | -5.866674 3.448549 -1.70 0.089 -12.62907 .8957227 + 109 | -6.458239 3.477044 -1.86 0.063 -13.27651 .360035 + 110 | -.6896605 3.412001 -0.20 0.840 -7.380389 6.001068 + 111 | -2.964569 3.475212 -0.85 0.394 -9.779249 3.850111 + | + minor | + 101 | -7.200079 3.967017 -1.81 0.070 -14.97916 .5790018 + 103 | -5.230099 3.097939 -1.69 0.091 -11.30497 .8447718 + 104 | -3.41257 4.806575 -0.71 0.478 -12.83797 6.012833 + 105 | -5.075778 3.10488 -1.63 0.102 -11.16426 1.012704 + 107 | -1.746009 2.858081 -0.61 0.541 -7.350532 3.858515 + 108 | .8315423 4.017816 0.21 0.836 -7.047153 8.710237 + 110 | -13.04681 3.202565 -4.07 0.000 -19.32685 -6.766775 + 400 | -2.248768 3.665934 -0.61 0.540 -9.437444 4.939907 + 401 | 2.781268 3.915477 0.71 0.478 -4.896745 10.45928 + 402 | 1.53708 3.120326 0.49 0.622 -4.581691 7.655851 + 403 | -2.252344 3.102933 -0.73 0.468 -8.337008 3.832321 + 404 | 1.373839 4.22347 0.33 0.745 -6.90813 9.655807 + 405 | 12.11295 4.535874 2.67 0.008 3.21838 21.00753 + 498 | 5.060366 5.077687 1.00 0.319 -4.89667 15.0174 + 499 | .3215008 5.312777 0.06 0.952 -10.09653 10.73953 + 700 | -.9618352 3.20878 -0.30 0.764 -7.254059 5.330389 + 701 | -2.818459 3.107142 -0.91 0.364 -8.911375 3.274458 + 703 | -.5571405 3.206004 -0.17 0.862 -6.843921 5.72964 + 704 | -2.911752 3.000536 -0.97 0.332 -8.795621 2.972117 + 705 | -.2483927 3.258507 -0.08 0.939 -6.638129 6.141343 + 707 | .2200414 3.223586 0.07 0.946 -6.101215 6.541298 + 708 | -6.878348 3.104186 -2.22 0.027 -12.96547 -.7912275 + 709 | 3.333162 2.993055 1.11 0.266 -2.536039 9.202362 + 710 | .7984488 3.167219 0.25 0.801 -5.412277 7.009174 + 711 | -1.531282 3.339552 -0.46 0.647 -8.079941 5.017377 + 798 | -2.743859 3.591016 -0.76 0.445 -9.785624 4.297906 + 799 | -1.045144 5.186198 -0.20 0.840 -11.21496 9.124676 + 800 | -4.445142 3.16213 -1.41 0.160 -10.64589 1.755604 + 801 | 2.427378 3.705811 0.66 0.513 -4.839493 9.694249 + 802 | 1.283511 3.270106 0.39 0.695 -5.128969 7.695991 + 803 | -2.79182 3.017792 -0.93 0.355 -8.709528 3.125888 + 805 | 4.315625 4.732941 0.91 0.362 -4.965387 13.59664 + 806 | 2.116331 3.040187 0.70 0.486 -3.845291 8.077953 + 807 | -.7143854 3.242523 -0.22 0.826 -7.072777 5.644006 + 898 | 2.098207 4.45077 0.47 0.637 -6.629484 10.8259 + 899 | -9.799764 3.697873 -2.65 0.008 -17.05107 -2.548459 + 1000 | .783434 3.707578 0.21 0.833 -6.486901 8.053769 + 1001 | -4.562286 3.57897 -1.27 0.203 -11.58043 2.455857 + 1002 | .205535 3.385653 0.06 0.952 -6.433525 6.844595 + 1003 | 2.469308 3.06098 0.81 0.420 -3.533088 8.471704 + 1005 | -.8303778 3.323667 -0.25 0.803 -7.347888 5.687132 + 1006 | 1.731249 3.26178 0.53 0.596 -4.664903 8.127402 + 1007 | 1.203708 3.231386 0.37 0.710 -5.132845 7.540261 + 1010 | -6.24633 3.263012 -1.91 0.056 -12.6449 .1522388 + 1098 | -3.175796 5.040679 -0.63 0.529 -13.06026 6.70867 + 1099 | 2.31118 10.57206 0.22 0.827 -18.41999 23.04235 + 1400 | -.8121743 3.096817 -0.26 0.793 -6.884845 5.260496 + 1401 | -.1071898 3.281227 -0.03 0.974 -6.541478 6.327099 + 1403 | -2.708346 3.623884 -0.75 0.455 -9.814563 4.39787 + 1404 | -2.269021 4.666257 -0.49 0.627 -11.41927 6.881226 + 1405 | .0785276 3.345712 0.02 0.981 -6.482211 6.639266 + 1406 | -5.469714 2.915941 -1.88 0.061 -11.1877 .2482703 + 1407 | 1.743002 3.554553 0.49 0.624 -5.22726 8.713265 + 1408 | -2.382338 3.90562 -0.61 0.542 -10.04102 5.276348 + 1409 | -2.526651 3.711559 -0.68 0.496 -9.804793 4.751492 + 1410 | .1239398 3.717731 0.03 0.973 -7.166306 7.414186 + 1499 | -4.499521 5.369671 -0.84 0.402 -15.02912 6.030078 + 1500 | -1.119622 3.816616 -0.29 0.769 -8.603776 6.364531 + 1501 | -.7651364 2.935445 -0.26 0.794 -6.521366 4.991093 + 1502 | .4238291 3.099341 0.14 0.891 -5.653792 6.50145 + 1504 | -1.153768 3.023018 -0.38 0.703 -7.081724 4.774188 + 1505 | .9203027 3.48349 0.26 0.792 -5.91061 7.751216 + 1507 | -1.473525 3.960892 -0.37 0.710 -9.240595 6.293546 + 1520 | -3.833704 3.253753 -1.18 0.239 -10.21412 2.546709 + 1521 | .9049404 3.103907 0.29 0.771 -5.181634 6.991515 + 1522 | 10.80155 3.645897 2.96 0.003 3.652162 17.95093 + 1523 | .3867299 2.930927 0.13 0.895 -5.360641 6.1341 + 1524 | 9.275419 5.452326 1.70 0.089 -1.416262 19.9671 + 1525 | -1.841488 2.962383 -0.62 0.534 -7.650541 3.967566 + 1526 | .4565422 3.448186 0.13 0.895 -6.305141 7.218226 + 1599 | 9.640389 5.52884 1.74 0.081 -1.201332 20.48211 + 1600 | 3.320807 3.354634 0.99 0.322 -3.257427 9.89904 + 1602 | -1.24294 3.857072 -0.32 0.747 -8.806425 6.320545 + 1603 | -8.026346 3.776676 -2.13 0.034 -15.43218 -.6205129 + 1604 | 5.699141 6.204462 0.92 0.358 -6.467433 17.86572 + 1605 | -1.089614 3.484667 -0.31 0.755 -7.922836 5.743608 + 1606 | 4.071713 4.211887 0.97 0.334 -4.187542 12.33097 + 1608 | 1.315032 2.919062 0.45 0.652 -4.409073 7.039137 + 1609 | -.0496034 2.980333 -0.02 0.987 -5.893855 5.794649 + 1610 | .426726 3.621047 0.12 0.906 -6.673929 7.527381 + 1611 | -1.217479 3.620055 -0.34 0.737 -8.316187 5.881229 + 1612 | .4355737 3.321981 0.13 0.896 -6.078631 6.949778 + 1614 | 1.790739 4.304993 0.42 0.677 -6.651093 10.23257 + 1615 | .8829884 3.413108 0.26 0.796 -5.80991 7.575887 + 1616 | .6926184 3.443439 0.20 0.841 -6.059756 7.444993 + 1617 | -1.08569 3.906029 -0.28 0.781 -8.745176 6.573796 + 1619 | -6.245134 3.220367 -1.94 0.053 -12.56008 .06981 + 1620 | 3.770184 4.975583 0.76 0.449 -5.986633 13.527 + 1698 | 8.905695 6.690761 1.33 0.183 -4.214482 22.02587 + 1699 | 6.041226 3.344311 1.81 0.071 -.516766 12.59922 + 1700 | 5.357672 4.284851 1.25 0.211 -3.044662 13.76001 + 1701 | 4.278302 3.658793 1.17 0.242 -2.89637 11.45297 + 1704 | 19.63762 8.029859 2.45 0.015 3.891556 35.38369 + 1705 | 1.696577 5.771034 0.29 0.769 -9.620072 13.01323 + 1706 | 2.577855 3.252919 0.79 0.428 -3.800923 8.956633 + 1707 | 1.830855 3.078353 0.59 0.552 -4.205609 7.867319 + 1708 | 5.999876 3.926993 1.53 0.127 -1.700719 13.70047 + 1709 | 4.551158 3.578662 1.27 0.204 -2.466382 11.5687 + 1798 | -.9177778 3.52051 -0.26 0.794 -7.821286 5.98573 + 1799 | -3.053392 6.604225 -0.46 0.644 -16.00388 9.897094 + 1800 | -4.863511 3.44636 -1.41 0.158 -11.62161 1.894592 + 1802 | -1.696912 3.214518 -0.53 0.598 -8.000387 4.606563 + 1803 | .1169106 3.306759 0.04 0.972 -6.367445 6.601266 + 1804 | -2.230237 3.889134 -0.57 0.566 -9.856593 5.396119 + 1806 | 2.298906 3.974563 0.58 0.563 -5.494972 10.09278 + 1807 | -10.30355 2.839645 -3.63 0.000 -15.87193 -4.735183 + 1808 | 7.249469 8.742574 0.83 0.407 -9.89419 24.39313 + 1899 | 2.126859 9.326177 0.23 0.820 -16.16121 20.41493 + 1900 | .2948191 3.826953 0.08 0.939 -7.209604 7.799242 + 1901 | 1.164534 3.075547 0.38 0.705 -4.866428 7.195496 + 1902 | 2.598542 3.724156 0.70 0.485 -4.704302 9.901386 + 1905 | -.5255237 3.378014 -0.16 0.876 -7.149604 6.098556 + 1906 | .4880265 3.27338 0.15 0.881 -5.930874 6.906927 + 1907 | 7.705514 5.49061 1.40 0.161 -3.061241 18.47227 + 1908 | 4.63887 4.810634 0.96 0.335 -4.794493 14.07223 + 1909 | 3.890172 5.378854 0.72 0.470 -6.657435 14.43778 + 1910 | -7.071527 3.582347 -1.97 0.048 -14.09629 -.0467624 + 1911 | -.2686982 3.493482 -0.08 0.939 -7.119204 6.581808 + 1912 | -8.204712 3.714572 -2.21 0.027 -15.48876 -.9206622 + 1914 | -5.740802 3.290205 -1.74 0.081 -12.19269 .7110906 + 1915 | 15.86142 4.961253 3.20 0.001 6.132703 25.59014 + 1919 | 6.660325 5.724222 1.16 0.245 -4.564528 17.88518 + 1920 | 4.164261 3.356645 1.24 0.215 -2.417918 10.74644 + 1925 | -1.504478 3.154527 -0.48 0.633 -7.690315 4.681358 + 1926 | 2.5781 3.943846 0.65 0.513 -5.155543 10.31174 + 1927 | 2.336515 4.050848 0.58 0.564 -5.606952 10.27998 + 1929 | .7380603 3.808771 0.19 0.846 -6.73071 8.20683 + 1999 | -1.439068 9.373696 -0.15 0.878 -19.82032 16.94218 + 2000 | -3.236059 3.048703 -1.06 0.289 -9.214382 2.742263 + 2001 | -1.351316 3.267627 -0.41 0.679 -7.758935 5.056303 + 2002 | -4.229189 3.184522 -1.33 0.184 -10.47384 2.015466 + 2003 | -1.85355 3.258098 -0.57 0.569 -8.242483 4.535383 + 2004 | .7997767 2.943313 0.27 0.786 -4.971882 6.571436 + 2005 | 10.60794 6.080378 1.74 0.081 -1.315309 22.5312 + 2006 | 11.71421 3.02339 3.87 0.000 5.785522 17.64289 + 2007 | -4.853855 3.252612 -1.49 0.136 -11.23203 1.52432 + 2008 | 10.63908 2.922523 3.64 0.000 4.908192 16.36997 + 2009 | 2.541363 4.489518 0.57 0.571 -6.262309 11.34504 + 2010 | -13.70007 3.023865 -4.53 0.000 -19.62969 -7.770453 + 2011 | -.0255938 3.185871 -0.01 0.994 -6.272895 6.221707 + 2012 | -6.292742 3.002743 -2.10 0.036 -12.18094 -.4045444 + 2013 | -2.75541 4.693797 -0.59 0.557 -11.95966 6.448842 + 2014 | 5.700651 4.064717 1.40 0.161 -2.270014 13.67132 + 2015 | -1.815299 4.244072 -0.43 0.669 -10.13767 6.507069 + 2030 | -1.737649 4.343255 -0.40 0.689 -10.25451 6.77921 + 2099 | 3.166454 3.717362 0.85 0.394 -4.123067 10.45598 + 2100 | -2.738076 3.74886 -0.73 0.465 -10.08936 4.613212 + 2101 | -.2575443 2.908118 -0.09 0.929 -5.960188 5.4451 + 2102 | .7915709 2.985155 0.27 0.791 -5.062138 6.64528 + 2103 | 1.288799 2.956213 0.44 0.663 -4.508156 7.085755 + 2104 | -.8840227 3.051923 -0.29 0.772 -6.86866 5.100615 + 2105 | .0967358 5.480768 0.02 0.986 -10.65072 10.84419 + 2199 | 2.987557 13.12623 0.23 0.820 -22.75218 28.7273 + 9999 | -1.33614 3.828207 -0.35 0.727 -8.843022 6.170742 + | + house_administration | 1.073762 1.086096 0.99 0.323 -1.056006 3.20353 + house_agriculture | .0909104 .7434333 0.12 0.903 -1.366917 1.548738 + house_appropriations | -10.03025 1.118418 -8.97 0.000 -12.2234 -7.8371 + house_armedservices | -3.032739 .7606156 -3.99 0.000 -4.52426 -1.541217 + house_budget | -4.067573 1.521128 -2.67 0.008 -7.050412 -1.084734 + house_dc | -7.623858 3.632044 -2.10 0.036 -14.74608 -.5016399 + house_educlabor | -4.514562 .657945 -6.86 0.000 -5.804752 -3.224371 + house_energycommerce | -1.056243 .5018181 -2.10 0.035 -2.040278 -.0722077 + house_foreignaffairs | .1920648 .9028637 0.21 0.832 -1.578396 1.962526 + house_governmentop | 2.059741 1.368233 1.51 0.132 -.6232802 4.742763 + house_intelligence | -.3092224 2.334416 -0.13 0.895 -4.886871 4.268426 + house_interior | -3.575118 1.041304 -3.43 0.001 -5.617053 -1.533184 + house_judiciary | 1.481312 .6322161 2.34 0.019 .2415742 2.721049 + house_mmf | 4.520953 1.311562 3.45 0.001 1.94906 7.092846 + house_pocs | 1.015115 1.320734 0.77 0.442 -1.574765 3.604995 + house_pwt | -.2812776 1.071712 -0.26 0.793 -2.38284 1.820285 + house_rules | .845569 1.306136 0.65 0.517 -1.715684 3.406822 + house_sst | 2.957882 1.482787 1.99 0.046 .0502271 5.865538 + house_smallbusi | -5.830129 1.431899 -4.07 0.000 -8.637997 -3.022261 + house_soc | -.0252328 5.475361 -0.00 0.996 -10.76208 10.71162 + house_veterans | -.915483 .9599369 -0.95 0.340 -2.797861 .9668951 + house_waysandmeans | 1.419947 .5078632 2.80 0.005 .424058 2.415836 +house_naturalresources | -3.852591 .8948742 -4.31 0.000 -5.607385 -2.097797 + house_bfs | -2.42947 .6040302 -4.02 0.000 -3.613937 -1.245003 + house_eeo | -3.785826 2.695853 -1.40 0.160 -9.07223 1.500579 + house_govreform | 5.168601 .8995043 5.75 0.000 3.404727 6.932474 + house_ir | 1.283502 1.040022 1.23 0.217 -.7559187 3.322922 + house_natsecur | .3543109 1.68834 0.21 0.834 -2.956422 3.665044 + house_oversight | -3.055845 1.179981 -2.59 0.010 -5.369717 -.7419731 + house_resources | 1.281466 .9356534 1.37 0.171 -.5532932 3.116226 + house_science | -1.254025 1.040794 -1.20 0.228 -3.294959 .7869085 + house_transp | -1.907002 .6512119 -2.93 0.003 -3.18399 -.6300153 + house_homeland | -.4797751 1.310109 -0.37 0.714 -3.04882 2.08927 + sponsor_democrat | 0 (omitted) + sponsor_rookie | -2.993063 .7111973 -4.21 0.000 -4.387678 -1.598448 + sponsor_tenure_run | -.0518606 .0698297 -0.74 0.458 -.1887925 .0850713 + sponsor_age | -.0315207 .025203 -1.25 0.211 -.0809423 .017901 + leader | -.0979258 .6205294 -0.16 0.875 -1.314746 1.118895 + ivycoll | .3699335 .5831615 0.63 0.526 -.7736109 1.513478 + black | -3.503685 .9138739 -3.83 0.000 -5.295736 -1.711633 + occ0 | .6455846 .6051037 1.07 0.286 -.5409872 1.832156 + occ1 | 1.872952 .6762054 2.77 0.006 .5469546 3.19895 + occ2 | 1.122048 .5533851 2.03 0.043 .0368935 2.207203 + occ3 | 1.054122 .9672199 1.09 0.276 -.8425374 2.950782 + occ4 | .4727973 .7400528 0.64 0.523 -.9784015 1.923996 + borninstate | .0908542 .4252089 0.21 0.831 -.7429548 .9246631 + tot_bills | -.0652413 .0139592 -4.67 0.000 -.0926145 -.0378681 + NE | -3.262373 .6472422 -5.04 0.000 -4.531576 -1.993171 + MW | -.5437729 .6651447 -0.82 0.414 -1.848081 .7605356 + WE | -2.254466 .6795034 -3.32 0.001 -3.586931 -.9220005 + pct_black | .9423281 2.188376 0.43 0.667 -3.348945 5.233601 + pct_urban | 1.780304 1.492619 1.19 0.233 -1.146632 4.70724 + pct_for_born | -1.07181 2.744754 -0.39 0.696 -6.454107 4.310486 + pct_age_over65 | 17.68413 6.481023 2.73 0.006 4.975238 30.39303 + lninc | -2.351521 1.03182 -2.28 0.023 -4.374857 -.3281854 + lnpden | -.2370207 .2195552 -1.08 0.280 -.6675552 .1935138 + _cons | 40.53179 10.49599 3.86 0.000 19.9498 61.11378 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,635 1 0 1 1 + + +j = 1 k = 3 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 11.12081 18.1168 .6138395 +---------------------------------------------- +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 o +> cc3 occ4 borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if sponsor_party==200 & tag_bill==1 & women_friend1==0, robust +> cluster(group_sponsor) +note: sponsor_democrat omitted because of collinearity + +Linear regression Number of obs = 19,379 + F(219, 2203) = 22.86 + Prob > F = 0.0000 + R-squared = 0.1683 + Root MSE = 21.231 + + (Std. Err. adjusted for 2,204 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 1.728157 .9092418 1.90 0.057 -.0549033 3.511218 + | + v2 | + 102 | -1.562266 1.488558 -1.05 0.294 -4.481389 1.356858 + 103 | -4.909369 1.746531 -2.81 0.005 -8.33439 -1.484349 + 104 | -3.750093 1.727069 -2.17 0.030 -7.136946 -.3632405 + 105 | -3.190734 1.700697 -1.88 0.061 -6.525871 .144403 + 106 | -1.296852 1.767269 -0.73 0.463 -4.762541 2.168836 + 107 | -.7513089 1.720186 -0.44 0.662 -4.124666 2.622048 + 108 | 5.648871 4.29278 1.32 0.188 -2.769449 14.06719 + 109 | 4.757112 4.23633 1.12 0.262 -3.550507 13.06473 + 110 | -1.015068 4.294169 -0.24 0.813 -9.436111 7.405976 + 111 | -1.132229 4.421005 -0.26 0.798 -9.802002 7.537544 + | + minor | + 101 | 5.374531 6.003869 0.90 0.371 -6.399305 17.14837 + 103 | 6.973003 7.184766 0.97 0.332 -7.116621 21.06263 + 104 | 1.484195 3.531782 0.42 0.674 -5.441777 8.410166 + 105 | 6.280043 2.961744 2.12 0.034 .4719414 12.08815 + 107 | 3.868726 2.704588 1.43 0.153 -1.435083 9.172534 + 108 | 10.7304 6.363149 1.69 0.092 -1.748003 23.2088 + 110 | -3.151707 3.27991 -0.96 0.337 -9.583746 3.280332 + 400 | 10.14342 4.18006 2.43 0.015 1.94615 18.34069 + 401 | 11.61919 3.607908 3.22 0.001 4.543935 18.69445 + 402 | 12.74948 3.039452 4.19 0.000 6.788991 18.70997 + 403 | 11.9465 3.787858 3.15 0.002 4.518353 19.37465 + 404 | 14.01584 4.081926 3.43 0.001 6.011018 22.02067 + 405 | 22.15464 5.442405 4.07 0.000 11.48186 32.82742 + 498 | 12.75968 4.816643 2.65 0.008 3.314041 22.20531 + 499 | 10.36897 4.103767 2.53 0.012 2.321309 18.41662 + 700 | 14.49815 3.601043 4.03 0.000 7.436351 21.55994 + 701 | 12.90505 3.397186 3.80 0.000 6.243029 19.56707 + 703 | 14.55676 3.602357 4.04 0.000 7.492393 21.62113 + 704 | 9.362041 3.246188 2.88 0.004 2.996132 15.72795 + 705 | 6.596254 3.179961 2.07 0.038 .360218 12.83229 + 707 | 21.11869 6.186743 3.41 0.001 8.986236 33.25115 + 708 | 15.12696 7.062159 2.14 0.032 1.277774 28.97615 + 709 | 14.86794 3.119565 4.77 0.000 8.750343 20.98554 + 710 | 15.75281 3.335172 4.72 0.000 9.212405 22.29322 + 711 | 15.62582 3.534443 4.42 0.000 8.694627 22.55701 + 798 | 19.55656 5.337627 3.66 0.000 9.089255 30.02387 + 799 | 14.28046 5.393222 2.65 0.008 3.704131 24.85679 + 800 | 7.849939 3.621106 2.17 0.030 .7488002 14.95108 + 801 | 10.93383 3.969937 2.75 0.006 3.148622 18.71904 + 802 | 9.488356 3.292827 2.88 0.004 3.030986 15.94573 + 803 | 8.872352 2.923867 3.03 0.002 3.138527 14.60618 + 805 | 8.803466 4.29668 2.05 0.041 .3774991 17.22943 + 806 | 12.8575 3.255025 3.95 0.000 6.474262 19.24074 + 807 | 16.44041 3.797926 4.33 0.000 8.992517 23.8883 + 898 | 4.809076 6.1054 0.79 0.431 -7.163866 16.78202 + 899 | 5.784684 9.177147 0.63 0.529 -12.21208 23.78145 + 1000 | 11.42986 3.761837 3.04 0.002 4.05274 18.80698 + 1001 | 22.79678 4.232856 5.39 0.000 14.49598 31.09759 + 1002 | 13.30457 3.110636 4.28 0.000 7.204486 19.40466 + 1003 | 12.60358 2.96106 4.26 0.000 6.796819 18.41034 + 1005 | 13.50026 4.092258 3.30 0.001 5.475172 21.52535 + 1006 | 15.89325 3.377308 4.71 0.000 9.270207 22.51629 + 1007 | 12.29136 3.190859 3.85 0.000 6.033957 18.54877 + 1010 | 14.71258 6.68669 2.20 0.028 1.5997 27.82545 + 1098 | 6.411355 6.735219 0.95 0.341 -6.796689 19.6194 + 1099 | 7.705801 10.46765 0.74 0.462 -12.82169 28.23329 + 1400 | 9.43092 3.624804 2.60 0.009 2.322531 16.53931 + 1401 | 14.88705 3.978935 3.74 0.000 7.084189 22.6899 + 1403 | 22.65839 7.032386 3.22 0.001 8.867592 36.44919 + 1404 | 11.33515 6.069206 1.87 0.062 -.5668117 23.23712 + 1405 | 15.17421 4.517953 3.36 0.001 6.314315 24.0341 + 1406 | 10.74318 3.81003 2.82 0.005 3.271556 18.21481 + 1407 | 27.0469 4.970642 5.44 0.000 17.29926 36.79453 + 1408 | 1.61704 6.061339 0.27 0.790 -10.2695 13.50358 + 1409 | 20.27183 6.005554 3.38 0.001 8.494694 32.04898 + 1410 | 14.8841 4.090592 3.64 0.000 6.862276 22.90591 + 1499 | 10.94328 6.493066 1.69 0.092 -1.78989 23.67645 + 1500 | 7.726273 3.992856 1.94 0.053 -.1038817 15.55643 + 1501 | 11.19096 3.049402 3.67 0.000 5.210961 17.17097 + 1502 | 8.901557 3.014007 2.95 0.003 2.990964 14.81215 + 1504 | 11.53859 3.345818 3.45 0.001 4.977299 18.09987 + 1505 | 19.63546 3.732803 5.26 0.000 12.31528 26.95564 + 1507 | 13.16104 3.840948 3.43 0.001 5.628787 20.6933 + 1520 | 9.355146 3.485824 2.68 0.007 2.519302 16.19099 + 1521 | 8.537959 3.028822 2.82 0.005 2.598314 14.47761 + 1522 | 21.81904 3.536657 6.17 0.000 14.88351 28.75457 + 1523 | 10.93897 3.109747 3.52 0.000 4.840625 17.03731 + 1524 | 19.71137 6.498916 3.03 0.002 6.966729 32.45602 + 1525 | 12.17462 3.515713 3.46 0.001 5.280165 19.06908 + 1526 | 20.96503 3.684028 5.69 0.000 13.7405 28.18956 + 1599 | 12.83279 3.868442 3.32 0.001 5.24662 20.41897 + 1600 | 10.91601 3.812434 2.86 0.004 3.43967 18.39235 + 1602 | 3.678026 6.259968 0.59 0.557 -8.598031 15.95408 + 1603 | 7.617256 4.358842 1.75 0.081 -.9306143 16.16513 + 1604 | 10.91296 4.732935 2.31 0.021 1.631475 20.19444 + 1605 | 8.943547 4.646376 1.92 0.054 -.1681888 18.05528 + 1606 | 16.8496 5.846908 2.88 0.004 5.383572 28.31563 + 1608 | 15.83235 3.00932 5.26 0.000 9.930951 21.73375 + 1609 | 19.21024 3.10145 6.19 0.000 13.12817 25.29231 + 1610 | 12.40523 5.768065 2.15 0.032 1.093813 23.71664 + 1611 | 9.864553 3.837894 2.57 0.010 2.338284 17.39082 + 1612 | 15.50291 3.846234 4.03 0.000 7.960285 23.04554 + 1614 | 9.193815 6.752885 1.36 0.174 -4.048872 22.4365 + 1615 | 9.09372 3.637334 2.50 0.012 1.960758 16.22668 + 1616 | 7.087093 3.663595 1.93 0.053 -.0973674 14.27155 + 1617 | 12.50547 5.694499 2.20 0.028 1.338327 23.67262 + 1619 | 8.160412 4.728592 1.73 0.085 -1.112552 17.43338 + 1620 | 17.88434 6.774218 2.64 0.008 4.599821 31.16887 + 1698 | 11.65771 6.330783 1.84 0.066 -.7572165 24.07264 + 1699 | 17.54768 3.74723 4.68 0.000 10.19921 24.89616 + 1700 | 10.32104 5.292883 1.95 0.051 -.0585227 20.7006 + 1701 | 11.3768 4.514772 2.52 0.012 2.523145 20.23045 + 1704 | 13.24388 5.031151 2.63 0.009 3.377589 23.11018 + 1705 | 2.833568 7.985017 0.35 0.723 -12.82538 18.49252 + 1706 | 16.26351 3.474593 4.68 0.000 9.449688 23.07733 + 1707 | 14.85145 3.574051 4.16 0.000 7.842592 21.86032 + 1708 | 16.36107 4.830866 3.39 0.001 6.887538 25.83459 + 1709 | 19.51467 3.524063 5.54 0.000 12.60384 26.42551 + 1798 | 16.29719 4.43667 3.67 0.000 7.596698 24.99768 + 1799 | 5.549252 8.565341 0.65 0.517 -11.24774 22.34624 + 1800 | 7.496468 3.833537 1.96 0.051 -.0212562 15.01419 + 1802 | 14.54482 3.404067 4.27 0.000 7.8693 21.22033 + 1803 | 7.546471 3.747394 2.01 0.044 .1976758 14.89527 + 1804 | 12.48295 4.467839 2.79 0.005 3.721331 21.24457 + 1806 | 3.68194 4.245283 0.87 0.386 -4.643237 12.00712 + 1807 | -4.004081 2.700262 -1.48 0.138 -9.299408 1.291245 + 1808 | -2.011302 4.442622 -0.45 0.651 -10.72347 6.700863 + 1899 | -1.034979 9.015267 -0.11 0.909 -18.71429 16.64433 + 1900 | 8.879752 4.24595 2.09 0.037 .5532682 17.20624 + 1901 | 8.640289 3.598784 2.40 0.016 1.582924 15.69765 + 1902 | 18.22026 5.206003 3.50 0.000 8.011076 28.42945 + 1905 | 26.52354 7.186286 3.69 0.000 12.43093 40.61614 + 1906 | 9.052025 4.297734 2.11 0.035 .6239904 17.48006 + 1907 | 20.59976 5.530417 3.72 0.000 9.754382 31.44513 + 1908 | 14.81294 7.449138 1.99 0.047 .2048718 29.42101 + 1909 | 30.72626 7.798124 3.94 0.000 15.43382 46.0187 + 1910 | 20.01052 9.560012 2.09 0.036 1.262938 38.7581 + 1911 | 17.08258 9.804361 1.74 0.082 -2.144175 36.30934 + 1912 | -9.361186 3.138995 -2.98 0.003 -15.51688 -3.205487 + 1914 | 15.9929 5.407575 2.96 0.003 5.388424 26.59738 + 1915 | 15.49795 9.547818 1.62 0.105 -3.225716 34.22162 + 1919 | 13.86217 4.467428 3.10 0.002 5.101357 22.62298 + 1920 | 8.869789 4.175121 2.12 0.034 .6822027 17.05737 + 1925 | 21.74452 4.864506 4.47 0.000 12.20502 31.28402 + 1926 | .8459596 3.857745 0.22 0.826 -6.719239 8.411158 + 1927 | 5.662566 3.465316 1.63 0.102 -1.133062 12.45819 + 1929 | 8.420336 3.883114 2.17 0.030 .8053894 16.03528 + 1999 | 12.64068 12.98073 0.97 0.330 -12.81507 38.09644 + 2000 | 5.232322 2.915527 1.79 0.073 -.4851466 10.94979 + 2001 | 7.406056 3.263453 2.27 0.023 1.00629 13.80582 + 2002 | 6.103221 2.902923 2.10 0.036 .4104688 11.79597 + 2003 | 12.05722 3.582349 3.37 0.001 5.032083 19.08235 + 2004 | 14.297 2.978392 4.80 0.000 8.456253 20.13775 + 2005 | 6.821125 6.019439 1.13 0.257 -4.983244 18.62549 + 2006 | 25.6428 3.189426 8.04 0.000 19.38821 31.8974 + 2007 | 1.783614 3.404913 0.52 0.600 -4.893561 8.460789 + 2008 | 21.89774 2.860345 7.66 0.000 16.28848 27.50699 + 2009 | 2.60671 3.873005 0.67 0.501 -4.988413 10.20183 + 2011 | 4.725249 2.838125 1.66 0.096 -.8404311 10.29093 + 2012 | 3.59431 2.867014 1.25 0.210 -2.028022 9.216642 + 2013 | 3.175765 4.967375 0.64 0.523 -6.565462 12.91699 + 2014 | 6.914274 3.99385 1.73 0.084 -.9178307 14.74638 + 2015 | 15.22257 5.34514 2.85 0.004 4.740534 25.70461 + 2030 | 6.101852 4.619435 1.32 0.187 -2.957051 15.16075 + 2099 | 10.4651 4.603566 2.27 0.023 1.437314 19.49288 + 2100 | 3.137795 3.279354 0.96 0.339 -3.293155 9.568744 + 2101 | 17.80405 2.868854 6.21 0.000 12.17811 23.42999 + 2102 | 15.2604 3.06715 4.98 0.000 9.245595 21.27521 + 2103 | 7.310571 2.845537 2.57 0.010 1.730355 12.89079 + 2104 | 9.418868 2.898738 3.25 0.001 3.734322 15.10341 + 2105 | 17.53319 5.122618 3.42 0.001 7.487524 27.57886 + 2199 | 3.226301 8.442811 0.38 0.702 -13.3304 19.783 + 9999 | 3.373705 3.933718 0.86 0.391 -4.340478 11.08789 + | + house_administration | -4.836655 1.28706 -3.76 0.000 -7.360633 -2.312676 + house_agriculture | 3.205378 1.018378 3.15 0.002 1.208297 5.20246 + house_appropriations | -11.78365 1.637251 -7.20 0.000 -14.99436 -8.57293 + house_armedservices | .1006793 1.13707 0.09 0.929 -2.129162 2.330521 + house_budget | -.0441759 1.401535 -0.03 0.975 -2.792645 2.704293 + house_dc | -2.146156 5.225647 -0.41 0.681 -12.39387 8.101555 + house_educlabor | .7845306 1.53307 0.51 0.609 -2.221884 3.790945 + house_energycommerce | .2395899 .8027846 0.30 0.765 -1.334704 1.813884 + house_foreignaffairs | 3.612055 2.081179 1.74 0.083 -.4692227 7.693332 + house_governmentop | -1.463362 1.352928 -1.08 0.280 -4.116511 1.189787 + house_intelligence | -7.392792 2.893103 -2.56 0.011 -13.06629 -1.719298 + house_interior | -.0525194 1.705866 -0.03 0.975 -3.397794 3.292755 + house_judiciary | -2.18744 .7297937 -3.00 0.003 -3.618596 -.7562848 + house_mmf | 1.786272 2.122362 0.84 0.400 -2.375769 5.948312 + house_pocs | 2.822564 1.928598 1.46 0.143 -.9594975 6.604625 + house_pwt | .6290161 1.639638 0.38 0.701 -2.586382 3.844414 + house_rules | -3.542241 1.020371 -3.47 0.001 -5.543232 -1.541251 + house_sst | 4.563852 3.830686 1.19 0.234 -2.948282 12.07599 + house_smallbusi | 5.628153 3.329805 1.69 0.091 -.901732 12.15804 + house_soc | 3.277806 6.365547 0.51 0.607 -9.205294 15.76091 + house_veterans | 5.181596 1.570696 3.30 0.001 2.101397 8.261795 + house_waysandmeans | -.9327327 .6576738 -1.42 0.156 -2.222458 .3569929 +house_naturalresources | 1.314265 1.406145 0.93 0.350 -1.443243 4.071773 + house_bfs | .3212003 .9850125 0.33 0.744 -1.61045 2.252851 + house_eeo | -7.232285 3.77929 -1.91 0.056 -14.64363 .1790602 + house_govreform | 1.032041 .9460806 1.09 0.275 -.8232618 2.887345 + house_ir | 4.064903 1.483901 2.74 0.006 1.154912 6.974894 + house_natsecur | -1.178619 2.222704 -0.53 0.596 -5.537433 3.180195 + house_oversight | .7246156 1.216547 0.60 0.551 -1.661084 3.110315 + house_resources | -5.752051 .9703605 -5.93 0.000 -7.654968 -3.849134 + house_science | 3.191267 1.682367 1.90 0.058 -.1079239 6.490459 + house_transp | 2.479043 1.038827 2.39 0.017 .4418606 4.516224 + house_homeland | 2.900644 2.533111 1.15 0.252 -2.066891 7.868179 + sponsor_democrat | 0 (omitted) + sponsor_rookie | -1.945088 .7682181 -2.53 0.011 -3.451595 -.43858 + sponsor_tenure_run | .2532149 .099855 2.54 0.011 .0573951 .4490347 + sponsor_age | .0540198 .0298691 1.81 0.071 -.0045547 .1125944 + leader | -.7271428 .7537582 -0.96 0.335 -2.205294 .7510083 + ivycoll | .2624334 .8726328 0.30 0.764 -1.448836 1.973702 + black | -2.375124 3.759748 -0.63 0.528 -9.748145 4.997897 + occ0 | 2.83085 .8185233 3.46 0.001 1.225692 4.436008 + occ1 | 1.298513 1.03138 1.26 0.208 -.7240654 3.321091 + occ2 | 1.946257 .7052797 2.76 0.006 .5631742 3.32934 + occ3 | -1.865804 1.039756 -1.79 0.073 -3.904808 .1732012 + occ4 | 2.318107 .6929218 3.35 0.001 .9592587 3.676955 + borninstate | .6054361 .5048489 1.20 0.231 -.3845935 1.595466 + tot_bills | -.0382305 .0264757 -1.44 0.149 -.0901504 .0136894 + NE | 3.11011 .8162607 3.81 0.000 1.509389 4.710831 + MW | .2565711 .6523585 0.39 0.694 -1.022731 1.535873 + WE | -.5106847 .7764257 -0.66 0.511 -2.033288 1.011918 + pct_black | 3.088558 3.299165 0.94 0.349 -3.381242 9.558357 + pct_urban | .8759782 1.808685 0.48 0.628 -2.670928 4.422885 + pct_for_born | 1.669691 4.748301 0.35 0.725 -7.641924 10.98131 + pct_age_over65 | 30.59784 6.802743 4.50 0.000 17.25738 43.9383 + lninc | 5.406081 1.739991 3.11 0.002 1.993887 8.818276 + lnpden | .2882035 .2787805 1.03 0.301 -.2584967 .8349036 + _cons | -57.89709 17.36591 -3.33 0.001 -91.95235 -23.84183 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,575 1 0 1 1 + + +j = 2 k = 1 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11989 +----------------------+---------------------- NN matches = 3 + Number of obs | 6150 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 15.71586 27.17455 .5783301 +---------------------------------------------- +reg pct_cosponsors_opposite sponsor_female i.v2 MV1_female femaleXMV1_female if tag_bill==1 & sample==1 & abs(MV1_female)<=15.71585796583256 & women_friend1==0, rob +> ust cluster(group_sponsor) + +Linear regression Number of obs = 1,865 + F(13, 225) = 1.72 + Prob > F = 0.0583 + R-squared = 0.0213 + Root MSE = 20.559 + + (Std. Err. adjusted for 226 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust +pct_cosponsors_~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -3.311238 2.59511 -1.28 0.203 -8.425066 1.80259 + | + v2 | + 102 | -7.544355 4.530609 -1.67 0.097 -16.47221 1.383496 + 103 | -6.956416 4.104373 -1.69 0.091 -15.04434 1.131512 + 104 | -8.702139 4.300269 -2.02 0.044 -17.17609 -.2281859 + 105 | -8.09072 4.15969 -1.95 0.053 -16.28765 .1062124 + 106 | -3.373933 4.669296 -0.72 0.471 -12.57508 5.827211 + 107 | -.0549309 5.138508 -0.01 0.991 -10.18069 10.07083 + 108 | -1.047111 5.617685 -0.19 0.852 -12.11711 10.02289 + 109 | -8.889249 4.409837 -2.02 0.045 -17.57911 -.199385 + 110 | -6.673499 4.324434 -1.54 0.124 -15.19507 1.848072 + 111 | -4.862745 4.498303 -1.08 0.281 -13.72694 4.001447 + | + MV1_female | .0278751 .1886922 0.15 0.883 -.3439549 .3997051 +femaleXMV1_female | .0908911 .2619987 0.35 0.729 -.425394 .6071761 + _cons | 20.88418 4.198888 4.97 0.000 12.61001 29.15836 +----------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 160 1 0 1 1 + + +j = 2 k = 2 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6186 +----------------------+---------------------- NN matches = 3 + Number of obs | 2192 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 24.47749 44.63704 .5483673 +---------------------------------------------- +reg pct_cosponsors_opposite sponsor_female i.v2 MV1_female femaleXMV1_female if sponsor_party==100 & tag_bill==1 & sample==1 & abs(MV1_female)<=24.47749468503319 & +> women_friend1==0, robust cluster(group_sponsor) + +Linear regression Number of obs = 1,270 + F(13, 160) = 1.73 + Prob > F = 0.0588 + R-squared = 0.0260 + Root MSE = 17.94 + + (Std. Err. adjusted for 161 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust +pct_cosponsors_~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -4.805574 2.361778 -2.03 0.044 -9.469853 -.1412952 + | + v2 | + 102 | -5.688703 2.579019 -2.21 0.029 -10.78201 -.5953948 + 103 | -2.624928 2.739191 -0.96 0.339 -8.034562 2.784705 + 104 | -2.933201 2.904796 -1.01 0.314 -8.669887 2.803484 + 105 | -.2804249 3.321959 -0.08 0.933 -6.840966 6.280117 + 106 | -4.242643 3.591813 -1.18 0.239 -11.33612 2.850835 + 107 | -2.046716 2.463195 -0.83 0.407 -6.911283 2.817852 + 108 | -4.371538 2.71538 -1.61 0.109 -9.734145 .9910698 + 109 | -10.81807 3.186135 -3.40 0.001 -17.11038 -4.525768 + 110 | -4.742673 2.933395 -1.62 0.108 -10.53584 1.050493 + 111 | -.8089055 3.385125 -0.24 0.811 -7.494194 5.876383 + | + MV1_female | .0766666 .1158655 0.66 0.509 -.1521562 .3054895 +femaleXMV1_female | .225355 .179258 1.26 0.211 -.1286618 .5793719 + _cons | 16.62733 2.981376 5.58 0.000 10.73941 22.51525 +----------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 107 1 0 1 1 + + +j = 2 k = 3 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 11.12081 18.1168 .6138395 +---------------------------------------------- +reg pct_cosponsors_opposite sponsor_female i.v2 MV1_female femaleXMV1_female if sponsor_party==200 & tag_bill==1 & sample==1 & abs(MV1_female)<=11.12080711934915 & +> women_friend1==0, robust cluster(group_sponsor) + +Linear regression Number of obs = 705 + F(13, 86) = 4.73 + Prob > F = 0.0000 + R-squared = 0.0630 + Root MSE = 21.952 + + (Std. Err. adjusted for 87 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust +pct_cosponsors_~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | 1.778272 5.116981 0.35 0.729 -8.393949 11.95049 + | + v2 | + 102 | -3.179828 4.459308 -0.71 0.478 -12.04464 5.684982 + 103 | -3.996151 3.09043 -1.29 0.199 -10.13972 2.14742 + 104 | -7.88739 3.283683 -2.40 0.018 -14.41514 -1.359645 + 105 | -7.990581 3.090646 -2.59 0.011 -14.13458 -1.84658 + 106 | .9980421 3.714805 0.27 0.789 -6.386746 8.38283 + 107 | 8.775425 4.642502 1.89 0.062 -.4535639 18.00441 + 108 | 14.92517 4.121746 3.62 0.000 6.731413 23.11893 + 109 | -6.262135 2.792029 -2.24 0.027 -11.8125 -.711766 + 110 | -3.191003 4.310987 -0.74 0.461 -11.76096 5.378955 + 111 | -2.854526 6.274023 -0.45 0.650 -15.32687 9.617818 + | + MV1_female | -.4308829 .4446787 -0.97 0.335 -1.314875 .4531091 +femaleXMV1_female | .3684608 .6988041 0.53 0.599 -1.020716 1.757637 + _cons | 16.10188 3.319386 4.85 0.000 9.503165 22.7006 +----------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 62 1 0 1 1 + + +j = 3 k = 1 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11989 +----------------------+---------------------- NN matches = 3 + Number of obs | 6150 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 15.71586 27.17455 .5783301 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(54,841 missing values generated) +(59,051 missing values generated) +(4,210 real changes made) +reg pct_cosponsors_opposite sponsor_female i.v2 MV1_female femaleXMV1_female i.minor house_* [aw=wt] if tag_bill==1 & sample==1 & women_friend1==0 & abs(MV1_female) +> <=15.71585796583256, robust cluster(group_sponsor) +(sum of wgt is 3,659.27203023434) +note: house_dc omitted because of collinearity +note: house_eeo omitted because of collinearity + +Linear regression Number of obs = 1,865 + F(163, 225) = . + Prob > F = . + R-squared = 0.2093 + Root MSE = 19.702 + + (Std. Err. adjusted for 226 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -1.623082 2.061391 -0.79 0.432 -5.685185 2.43902 + | + v2 | + 102 | -9.493763 4.236875 -2.24 0.026 -17.84279 -1.144732 + 103 | -6.2004 3.962053 -1.56 0.119 -14.00788 1.607077 + 104 | -7.594053 4.188394 -1.81 0.071 -15.84755 .6594434 + 105 | -8.9802 3.867567 -2.32 0.021 -16.60149 -1.358915 + 106 | -3.065008 4.249228 -0.72 0.471 -11.43838 5.308366 + 107 | 2.312532 4.354096 0.53 0.596 -6.267491 10.89255 + 108 | -.0153618 5.720804 -0.00 0.998 -11.28857 11.25785 + 109 | -6.569522 3.841513 -1.71 0.089 -14.13947 1.000424 + 110 | -3.888031 3.759428 -1.03 0.302 -11.29622 3.52016 + 111 | -4.839145 4.345577 -1.11 0.267 -13.40238 3.724089 + | + MV1_female | -.2395757 .1833267 -1.31 0.193 -.6008327 .1216812 + femaleXMV1_female | .2305038 .2437658 0.95 0.345 -.2498522 .7108598 + | + minor | + 101 | 25.35561 19.46168 1.30 0.194 -12.99485 63.70608 + 103 | 9.481378 9.856323 0.96 0.337 -9.941132 28.90389 + 104 | 6.152228 13.48857 0.46 0.649 -20.42785 32.7323 + 105 | 9.023496 9.563646 0.94 0.346 -9.822276 27.86927 + 107 | 9.379616 9.010355 1.04 0.299 -8.37586 27.13509 + 108 | .607933 9.842662 0.06 0.951 -18.78766 20.00352 + 400 | 5.218515 11.35067 0.46 0.646 -17.14869 27.58572 + 401 | 20.06683 13.15725 1.53 0.129 -5.860363 45.99403 + 402 | 2.244668 11.32987 0.20 0.843 -20.08155 24.57089 + 403 | 15.02217 12.11387 1.24 0.216 -8.848981 38.89333 + 404 | 23.87696 10.88834 2.19 0.029 2.420788 45.33312 + 405 | 17.93688 16.91319 1.06 0.290 -15.39164 51.26539 + 498 | 1.404401 9.795921 0.14 0.886 -17.89908 20.70788 + 499 | 21.10472 12.82534 1.65 0.101 -4.168425 46.37787 + 700 | -1.418161 9.691748 -0.15 0.884 -20.51637 17.68004 + 701 | 5.482562 10.32425 0.53 0.596 -14.86203 25.82715 + 703 | 16.21817 10.39613 1.56 0.120 -4.268066 36.70442 + 704 | 12.42165 10.63474 1.17 0.244 -8.534776 33.37808 + 705 | 17.54181 11.42442 1.54 0.126 -4.970731 40.05435 + 707 | 21.83631 13.95857 1.56 0.119 -5.66994 49.34255 + 708 | 2.136546 9.890564 0.22 0.829 -17.35344 21.62653 + 709 | 15.73931 9.232221 1.70 0.090 -2.453371 33.93198 + 710 | 26.85962 10.56093 2.54 0.012 6.048637 47.6706 + 711 | 4.664483 15.57964 0.30 0.765 -26.03618 35.36514 + 798 | 7.82881 10.43713 0.75 0.454 -12.73822 28.39584 + 799 | .5150237 10.60529 0.05 0.961 -20.38337 21.41341 + 800 | 7.917578 10.70508 0.74 0.460 -13.17745 29.01261 + 801 | 19.63913 10.00158 1.96 0.051 -.06961 39.34787 + 802 | 6.160266 10.87062 0.57 0.571 -15.26098 27.58151 + 803 | 14.00925 10.19619 1.37 0.171 -6.082983 34.10149 + 805 | -1.686017 9.246556 -0.18 0.855 -19.90694 16.53491 + 806 | 10.922 8.89734 1.23 0.221 -6.610772 28.45477 + 807 | 3.570858 9.32044 0.38 0.702 -14.79566 21.93738 + 898 | 3.038647 14.90977 0.20 0.839 -26.34199 32.41929 + 899 | 6.533581 10.96861 0.60 0.552 -15.08076 28.14792 + 1000 | 48.90767 9.889512 4.95 0.000 29.41976 68.39558 + 1001 | 13.41846 12.047 1.11 0.267 -10.32092 37.15784 + 1002 | 10.79733 12.27286 0.88 0.380 -13.38712 34.98178 + 1003 | 19.31372 10.26884 1.88 0.061 -.9216805 39.54913 + 1005 | 36.7675 9.785332 3.76 0.000 17.48488 56.05011 + 1006 | 17.8079 10.89135 1.64 0.103 -3.654201 39.26999 + 1007 | 10.05434 9.76166 1.03 0.304 -9.181633 29.29031 + 1010 | 21.14134 20.4798 1.03 0.303 -19.21539 61.49808 + 1400 | 28.86333 14.09257 2.05 0.042 1.093029 56.63364 + 1401 | -1.381078 9.903135 -0.14 0.889 -20.89583 18.13368 + 1403 | 2.935638 9.286848 0.32 0.752 -15.36469 21.23596 + 1404 | 23.72473 23.84832 0.99 0.321 -23.26989 70.71935 + 1405 | 31.13392 15.5132 2.01 0.046 .5641802 61.70365 + 1406 | 22.5117 12.80376 1.76 0.080 -2.718916 47.74231 + 1407 | 14.25628 13.32813 1.07 0.286 -12.00765 40.52021 + 1408 | 7.929717 11.31589 0.70 0.484 -14.36897 30.2284 + 1409 | 8.076513 13.02828 0.62 0.536 -17.59653 33.74956 + 1410 | 23.28641 12.79086 1.82 0.070 -1.918785 48.4916 + 1499 | 3.380696 9.270641 0.36 0.716 -14.88769 21.64908 + 1500 | 26.13195 13.31622 1.96 0.051 -.1084966 52.3724 + 1501 | 18.08708 9.381698 1.93 0.055 -.4001459 36.57432 + 1502 | 9.588026 10.4179 0.92 0.358 -10.9411 30.11715 + 1504 | 10.66237 10.75158 0.99 0.322 -10.5243 31.84904 + 1505 | 29.59269 12.62014 2.34 0.020 4.723896 54.46149 + 1507 | .4430169 10.15914 0.04 0.965 -19.57622 20.46225 + 1520 | 6.45118 10.69022 0.60 0.547 -14.61457 27.51693 + 1521 | 9.274678 9.348227 0.99 0.322 -9.146595 27.69595 + 1522 | 26.0279 10.16173 2.56 0.011 6.00357 46.05222 + 1523 | 10.156 9.929757 1.02 0.308 -9.411212 29.72322 + 1524 | 43.3436 9.877424 4.39 0.000 23.87951 62.80769 + 1525 | 6.343773 9.239216 0.69 0.493 -11.86269 24.55023 + 1526 | 14.8071 11.90568 1.24 0.215 -8.653794 38.26799 + 1599 | 25.32126 15.48417 1.64 0.103 -5.191288 55.83381 + 1600 | 2.780591 10.52013 0.26 0.792 -17.94999 23.51117 + 1603 | -38.11615 14.87724 -2.56 0.011 -67.4327 -8.799607 + 1604 | 6.17301 11.76743 0.52 0.600 -17.01546 29.36148 + 1605 | -3.503141 10.15071 -0.35 0.730 -23.50575 16.49947 + 1606 | 8.681636 10.53042 0.82 0.411 -12.06923 29.4325 + 1608 | 10.13246 9.936849 1.02 0.309 -9.448732 29.71365 + 1609 | 16.33465 10.0702 1.62 0.106 -3.509322 36.17862 + 1610 | 1.628192 11.7463 0.14 0.890 -21.51864 24.77503 + 1611 | -3.69833 11.001 -0.34 0.737 -25.3765 17.97984 + 1612 | 8.30883 13.39209 0.62 0.536 -18.08113 34.69879 + 1614 | 4.139257 9.501859 0.44 0.664 -14.58476 22.86327 + 1615 | 12.20486 10.66955 1.14 0.254 -8.820176 33.22989 + 1616 | 11.59672 8.892856 1.30 0.194 -5.927216 29.12066 + 1617 | 30.61441 10.5292 2.91 0.004 9.865955 51.36286 + 1619 | 13.8969 12.86162 1.08 0.281 -11.44773 39.24153 + 1620 | 9.381463 11.96792 0.78 0.434 -14.20208 32.96501 + 1698 | 8.364654 10.24234 0.82 0.415 -11.81853 28.54784 + 1699 | 6.886695 10.2323 0.67 0.502 -13.2767 27.05009 + 1700 | 2.98628 12.03137 0.25 0.804 -20.72229 26.69485 + 1701 | 13.91138 18.05083 0.77 0.442 -21.65893 49.48168 + 1704 | 5.362562 10.60393 0.51 0.614 -15.53315 26.25828 + 1706 | 18.89485 12.33565 1.53 0.127 -5.413327 43.20302 + 1707 | 19.35378 13.03036 1.49 0.139 -6.323365 45.03092 + 1708 | -3.433867 14.1501 -0.24 0.808 -31.31753 24.4498 + 1709 | 19.04885 10.84064 1.76 0.080 -2.313317 40.41101 + 1798 | 20.49499 14.69157 1.40 0.164 -8.455678 49.44565 + 1799 | -15.02135 10.44071 -1.44 0.152 -35.59544 5.552732 + 1800 | 20.54536 13.40728 1.53 0.127 -5.874546 46.96526 + 1802 | 18.43877 10.99841 1.68 0.095 -3.234299 40.11184 + 1803 | -2.480886 10.35708 -0.24 0.811 -22.89016 17.92839 + 1804 | 19.80755 20.20225 0.98 0.328 -20.00226 59.61736 + 1806 | 36.73803 13.87776 2.65 0.009 9.391032 64.08503 + 1807 | 1.613971 9.361705 0.17 0.863 -16.83386 20.06181 + 1808 | -.806537 9.168577 -0.09 0.930 -18.8738 17.26072 + 1900 | 20.24087 22.40269 0.90 0.367 -23.90505 64.3868 + 1901 | 11.73205 12.51528 0.94 0.350 -12.93011 36.39421 + 1902 | 16.92458 9.752971 1.74 0.084 -2.29427 36.14342 + 1905 | 27.11861 15.04474 1.80 0.073 -2.52801 56.76522 + 1906 | 69.12752 11.54272 5.99 0.000 46.38187 91.87317 + 1907 | 17.92589 15.42735 1.16 0.246 -12.47469 48.32646 + 1909 | 63.41567 10.59506 5.99 0.000 42.53742 84.29392 + 1910 | 10.31591 9.804281 1.05 0.294 -9.004051 29.63586 + 1914 | -6.541234 9.872872 -0.66 0.508 -25.99635 12.91389 + 1915 | 1.461661 10.32718 0.14 0.888 -18.88869 21.81202 + 1919 | 4.867788 12.47352 0.39 0.697 -19.71207 29.44765 + 1920 | 14.24492 11.96827 1.19 0.235 -9.33932 37.82916 + 1925 | 39.01133 14.33862 2.72 0.007 10.75617 67.26649 + 1926 | 15.53492 13.11992 1.18 0.238 -10.31871 41.38855 + 1927 | 8.806506 12.67555 0.69 0.488 -16.17147 33.78448 + 1929 | 8.562897 12.45527 0.69 0.492 -15.981 33.1068 + 2000 | 13.96831 11.71486 1.19 0.234 -9.116568 37.05319 + 2001 | 21.28033 15.47119 1.38 0.170 -9.20663 51.76728 + 2002 | 3.416034 9.65558 0.35 0.724 -15.6109 22.44297 + 2003 | 31.11905 11.49563 2.71 0.007 8.466185 53.77191 + 2004 | 17.31824 9.965379 1.74 0.084 -2.319168 36.95565 + 2005 | -7.728589 10.9199 -0.71 0.480 -29.24694 13.78976 + 2006 | 26.63262 11.63458 2.29 0.023 3.705939 49.55931 + 2007 | -4.060286 9.6483 -0.42 0.674 -23.07287 14.9523 + 2008 | 15.08149 9.781756 1.54 0.125 -4.194079 34.35706 + 2009 | 9.761323 9.496576 1.03 0.305 -8.952282 28.47493 + 2011 | 9.482404 10.16455 0.93 0.352 -10.54749 29.5123 + 2012 | 7.367876 9.599419 0.77 0.444 -11.54839 26.28414 + 2013 | 3.614698 12.17672 0.30 0.767 -20.38029 27.60969 + 2014 | .0622717 12.13511 0.01 0.996 -23.85073 23.97528 + 2015 | 63.38216 9.714207 6.52 0.000 44.2397 82.52463 + 2030 | 17.22586 10.16559 1.69 0.092 -2.806068 37.2578 + 2099 | 62.15222 10.36823 5.99 0.000 41.72095 82.58348 + 2100 | 5.497062 11.19845 0.49 0.624 -16.5702 27.56432 + 2101 | 11.71117 9.520074 1.23 0.220 -7.048739 30.47108 + 2102 | 11.56804 11.81975 0.98 0.329 -11.72352 34.85961 + 2103 | 6.826231 10.09562 0.68 0.500 -13.06783 26.72029 + 2104 | 11.12242 10.30301 1.08 0.282 -9.18032 31.42516 + 2105 | 12.19285 19.50012 0.63 0.532 -26.23337 50.61906 + 9999 | 13.24396 15.42217 0.86 0.391 -17.14641 43.63432 + | + house_administration | -5.238634 3.159154 -1.66 0.099 -11.46395 .9866793 + house_agriculture | 6.898865 3.08393 2.24 0.026 .8217856 12.97594 + house_appropriations | -2.875629 4.564561 -0.63 0.529 -11.87038 6.119127 + house_armedservices | .4648651 3.469373 0.13 0.894 -6.371755 7.301485 + house_budget | -7.340399 6.078628 -1.21 0.228 -19.31872 4.637922 + house_dc | 0 (omitted) + house_educlabor | .326915 3.178204 0.10 0.918 -5.935937 6.589767 + house_energycommerce | -3.270114 2.061049 -1.59 0.114 -7.331543 .7913138 + house_foreignaffairs | 1.302491 4.713685 0.28 0.783 -7.986124 10.59111 + house_governmentop | -.2504715 4.746139 -0.05 0.958 -9.60304 9.102097 + house_intelligence | 38.15023 10.23157 3.73 0.000 17.98828 58.31219 + house_interior | 6.14075 3.978306 1.54 0.124 -1.698754 13.98025 + house_judiciary | -2.457359 1.972605 -1.25 0.214 -6.344503 1.429785 + house_mmf | -2.425424 4.245534 -0.57 0.568 -10.79152 5.94067 + house_pocs | -5.226753 4.792332 -1.09 0.277 -14.67035 4.21684 + house_pwt | 4.885364 3.84815 1.27 0.206 -2.69766 12.46839 + house_rules | 2.625124 4.648867 0.56 0.573 -6.535762 11.78601 + house_sst | 17.49252 8.139065 2.15 0.033 1.453975 33.53106 + house_smallbusi | -3.40865 5.64184 -0.60 0.546 -14.52625 7.708954 + house_soc | -11.42314 6.904589 -1.65 0.099 -25.02907 2.182793 + house_veterans | -.6244821 4.261818 -0.15 0.884 -9.022665 7.773701 + house_waysandmeans | -1.524037 1.959009 -0.78 0.437 -5.384389 2.336315 +house_naturalresources | 6.277786 3.612856 1.74 0.084 -.8415755 13.39715 + house_bfs | -2.540916 2.947494 -0.86 0.390 -8.349139 3.267308 + house_eeo | 0 (omitted) + house_govreform | 3.128422 3.09336 1.01 0.313 -2.96724 9.224085 + house_ir | 2.868715 3.663825 0.78 0.434 -4.351086 10.08851 + house_natsecur | 7.054447 5.117865 1.38 0.169 -3.03063 17.13952 + house_oversight | 1.211475 3.321644 0.36 0.716 -5.334035 7.756984 + house_resources | .4254704 2.988095 0.14 0.887 -5.462759 6.3137 + house_science | 1.544153 4.013811 0.38 0.701 -6.365317 9.453623 + house_transp | -.9760277 2.613743 -0.37 0.709 -6.126574 4.174518 + house_homeland | -4.402131 5.782711 -0.76 0.447 -15.79733 6.993068 + _cons | 7.449001 10.13742 0.73 0.463 -12.52742 27.42542 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 160 1 0 1 1 + + +j = 3 k = 2 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6186 +----------------------+---------------------- NN matches = 3 + Number of obs | 2192 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 24.47749 44.63704 .5483673 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(58,733 missing values generated) +(60,180 missing values generated) +(1,447 real changes made) +reg pct_cosponsors_opposite sponsor_female i.v2 MV1_female femaleXMV1_female i.minor house_* [aw=wt] if sponsor_party==100 & tag_bill==1 & sample==1 & women_friend1 +> ==0 & abs(MV1_female)<=24.47749468503319, robust cluster(group_sponsor) +(sum of wgt is 4,496.801181674) + +Linear regression Number of obs = 1,270 + F(149, 160) = . + Prob > F = . + R-squared = 0.2080 + Root MSE = 15.568 + + (Std. Err. adjusted for 161 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -6.4595 2.426405 -2.66 0.009 -11.25141 -1.667589 + | + v2 | + 102 | -6.042918 2.821504 -2.14 0.034 -11.61511 -.4707249 + 103 | 1.207114 3.304753 0.37 0.715 -5.319449 7.733676 + 104 | -2.803157 3.460453 -0.81 0.419 -9.637211 4.030897 + 105 | -1.40825 3.740717 -0.38 0.707 -8.795797 5.979298 + 106 | -6.636429 3.623135 -1.83 0.069 -13.79176 .5189067 + 107 | .3258847 2.96264 0.11 0.913 -5.525038 6.176808 + 108 | -6.463324 2.683331 -2.41 0.017 -11.76264 -1.16401 + 109 | -7.853074 2.765647 -2.84 0.005 -13.31495 -2.391193 + 110 | -3.062408 3.136716 -0.98 0.330 -9.257114 3.132298 + 111 | .837954 3.796808 0.22 0.826 -6.660369 8.336277 + | + MV1_female | .2320106 .1099541 2.11 0.036 .014862 .4491591 + femaleXMV1_female | .0599453 .1878315 0.32 0.750 -.3110034 .4308941 + | + minor | + 104 | -11.00679 3.834986 -2.87 0.005 -18.58051 -3.433069 + 105 | .2122871 7.494314 0.03 0.977 -14.58824 15.01282 + 107 | .7729783 4.252056 0.18 0.856 -7.624413 9.17037 + 108 | -14.87599 4.095538 -3.63 0.000 -22.96427 -6.787706 + 400 | -12.51677 5.114303 -2.45 0.015 -22.61702 -2.416529 + 401 | 14.73675 12.05394 1.22 0.223 -9.068584 38.54209 + 402 | -6.0949 5.137346 -1.19 0.237 -16.24065 4.050853 + 403 | 4.614491 9.75992 0.47 0.637 -14.66039 23.88937 + 404 | 13.53228 8.361867 1.62 0.108 -2.981581 30.04615 + 405 | 1.174617 11.60811 0.10 0.920 -21.75025 24.09948 + 498 | -2.793983 8.01057 -0.35 0.728 -18.61407 13.0261 + 499 | -31.73819 8.873683 -3.58 0.000 -49.26284 -14.21354 + 700 | 1.756881 10.16276 0.17 0.863 -18.31357 21.82733 + 701 | 16.91711 7.17648 2.36 0.020 2.744273 31.08996 + 703 | -1.259597 4.490622 -0.28 0.779 -10.12813 7.608939 + 704 | .7069492 5.284912 0.13 0.894 -9.730232 11.14413 + 705 | -2.041939 7.188114 -0.28 0.777 -16.23776 12.15388 + 707 | 11.11741 11.39168 0.98 0.331 -11.38004 33.61485 + 708 | -5.58571 3.735898 -1.50 0.137 -12.96374 1.792322 + 709 | 4.867626 4.718598 1.03 0.304 -4.451141 14.18639 + 710 | 5.974108 7.551812 0.79 0.430 -8.939978 20.88819 + 711 | -10.38421 4.386151 -2.37 0.019 -19.04643 -1.721996 + 798 | -17.18214 7.365715 -2.33 0.021 -31.7287 -2.635581 + 799 | -7.65125 5.689754 -1.34 0.181 -18.88795 3.585453 + 800 | -10.38578 4.358947 -2.38 0.018 -18.99427 -1.777291 + 801 | 8.141682 4.925254 1.65 0.100 -1.585211 17.86857 + 802 | 4.097906 9.13474 0.45 0.654 -13.94231 22.13812 + 803 | .8624722 4.097633 0.21 0.834 -7.22995 8.954894 + 805 | -2.38626 4.159628 -0.57 0.567 -10.60112 5.828597 + 806 | -5.787065 4.650719 -1.24 0.215 -14.97178 3.397647 + 807 | .1584386 6.887973 0.02 0.982 -13.44463 13.76151 + 898 | -5.272784 14.91413 -0.35 0.724 -34.72673 24.18116 + 899 | -1.420915 9.85304 -0.14 0.886 -20.8797 18.03787 + 1000 | 31.87008 4.814332 6.62 0.000 22.36225 41.37792 + 1001 | 4.612583 7.64361 0.60 0.547 -10.4828 19.70796 + 1002 | 10.2736 9.334252 1.10 0.273 -8.160628 28.70783 + 1003 | 6.978497 7.69357 0.91 0.366 -8.215547 22.17254 + 1005 | 10.21621 14.7875 0.69 0.491 -18.98765 39.42007 + 1006 | -1.149314 4.227101 -0.27 0.786 -9.497422 7.198794 + 1007 | -4.271168 5.276323 -0.81 0.419 -14.69139 6.149052 + 1010 | -11.96268 4.680431 -2.56 0.012 -21.20607 -2.719289 + 1400 | -2.566171 7.002381 -0.37 0.714 -16.39518 11.26284 + 1401 | -11.9003 6.368827 -1.87 0.064 -24.4781 .6775074 + 1403 | -3.676898 4.67557 -0.79 0.433 -12.91069 5.556892 + 1404 | -14.86626 4.118141 -3.61 0.000 -22.99918 -6.733335 + 1405 | 3.885509 6.280057 0.62 0.537 -8.516987 16.288 + 1406 | 6.394378 9.396646 0.68 0.497 -12.16307 24.95183 + 1407 | -1.673034 5.133195 -0.33 0.745 -11.81059 8.464521 + 1408 | -7.209023 4.469993 -1.61 0.109 -16.03682 1.618773 + 1409 | -1.801971 6.661665 -0.27 0.787 -14.9581 11.35416 + 1410 | 6.537153 9.028045 0.72 0.470 -11.29235 24.36665 + 1500 | -10.50008 3.237995 -3.24 0.001 -16.8948 -4.105353 + 1501 | 4.289865 5.576262 0.77 0.443 -6.722703 15.30243 + 1502 | 3.619813 6.222524 0.58 0.562 -8.66906 15.90869 + 1504 | 1.913936 8.14447 0.23 0.815 -14.17059 17.99846 + 1505 | 18.52895 5.425495 3.42 0.001 7.814129 29.24377 + 1507 | -11.49792 4.640985 -2.48 0.014 -20.66341 -2.332431 + 1520 | -4.246482 8.616211 -0.49 0.623 -21.26265 12.76969 + 1521 | -1.24708 5.887304 -0.21 0.833 -12.87393 10.37977 + 1522 | 7.444695 4.483634 1.66 0.099 -1.410042 16.29943 + 1523 | -5.117518 1.966611 -2.60 0.010 -9.001381 -1.233654 + 1525 | -4.274997 4.367211 -0.98 0.329 -12.89981 4.349814 + 1526 | 23.87227 12.65228 1.89 0.061 -1.114744 48.85927 + 1599 | 18.06489 15.51703 1.16 0.246 -12.57972 48.7095 + 1600 | -5.244484 8.066412 -0.65 0.517 -21.17485 10.68589 + 1602 | .7354595 5.60697 0.13 0.896 -10.33775 11.80867 + 1603 | .6156405 8.918511 0.07 0.945 -16.99754 18.22882 + 1604 | -16.01769 4.575889 -3.50 0.001 -25.05462 -6.98076 + 1605 | -9.73728 4.14796 -2.35 0.020 -17.92909 -1.545467 + 1606 | -4.928425 5.834662 -0.84 0.400 -16.45131 6.594459 + 1608 | -7.073396 4.082893 -1.73 0.085 -15.13671 .989916 + 1609 | .9018085 4.908939 0.18 0.854 -8.792862 10.59648 + 1610 | -5.673439 7.733791 -0.73 0.464 -20.94691 9.600036 + 1611 | -18.12292 4.572592 -3.96 0.000 -27.15333 -9.092497 + 1612 | 2.801625 7.338309 0.38 0.703 -11.69081 17.29406 + 1615 | 16.745 10.97519 1.53 0.129 -4.929913 38.41992 + 1616 | -3.483179 8.777032 -0.40 0.692 -20.81695 13.85059 + 1619 | -5.051583 6.787084 -0.74 0.458 -18.45541 8.35224 + 1620 | 6.093625 11.91376 0.51 0.610 -17.43488 29.62213 + 1698 | -5.080417 5.174208 -0.98 0.328 -15.29897 5.138135 + 1699 | -9.647881 3.826747 -2.52 0.013 -17.20533 -2.090433 + 1701 | 6.890783 8.789887 0.78 0.434 -10.46838 24.24994 + 1706 | -6.669503 5.426531 -1.23 0.221 -17.38637 4.047362 + 1707 | 7.854971 11.40914 0.69 0.492 -14.67696 30.3869 + 1708 | 37.78869 11.02141 3.43 0.001 16.02248 59.55489 + 1709 | 1.853724 6.453375 0.29 0.774 -10.89106 14.5985 + 1798 | -.177273 10.63207 -0.02 0.987 -21.17457 20.82003 + 1800 | 1.251386 10.75594 0.12 0.908 -19.99054 22.49331 + 1802 | 3.920749 6.417061 0.61 0.542 -8.752315 16.59381 + 1803 | -3.202218 5.714687 -0.56 0.576 -14.48816 8.083725 + 1804 | -16.26146 2.905988 -5.60 0.000 -22.00049 -10.52242 + 1806 | 24.26211 15.15775 1.60 0.111 -5.672964 54.19718 + 1807 | -5.763329 1.66484 -3.46 0.001 -9.051224 -2.475435 + 1900 | 54.48985 5.949825 9.16 0.000 42.73953 66.24017 + 1901 | -.8659993 5.401136 -0.16 0.873 -11.53271 9.800714 + 1902 | 1.535282 3.930349 0.39 0.697 -6.226771 9.297335 + 1905 | 12.90065 6.596497 1.96 0.052 -.1267827 25.92808 + 1906 | 16.8674 13.08149 1.29 0.199 -8.96726 42.70206 + 1908 | 9.304058 16.42773 0.57 0.572 -23.13908 41.7472 + 1909 | 20.9373 6.529904 3.21 0.002 8.041379 33.83321 + 1911 | 16.71216 8.524215 1.96 0.052 -.1223262 33.54664 + 1912 | 8.518801 8.432384 1.01 0.314 -8.134328 25.17193 + 1920 | 1.758889 7.49449 0.23 0.815 -13.04199 16.55977 + 1925 | 10.18041 6.346407 1.60 0.111 -2.353118 22.71394 + 1926 | 30.38417 5.391609 5.64 0.000 19.73628 41.03207 + 1927 | 6.656889 17.1863 0.39 0.699 -27.28436 40.59814 + 1929 | -15.92174 4.902086 -3.25 0.001 -25.60287 -6.2406 + 1999 | 39.95238 4.360873 9.16 0.000 31.34009 48.56468 + 2000 | 2.947802 6.96207 0.42 0.673 -10.8016 16.6972 + 2001 | -2.725303 6.268067 -0.43 0.664 -15.10412 9.653512 + 2002 | 9.258916 7.927774 1.17 0.245 -6.397657 24.91549 + 2003 | 8.57907 7.192969 1.19 0.235 -5.626336 22.78448 + 2004 | 3.585395 4.970851 0.72 0.472 -6.231546 13.40234 + 2005 | 6.308937 9.498114 0.66 0.507 -12.4489 25.06678 + 2006 | 4.905231 7.790741 0.63 0.530 -10.48072 20.29118 + 2007 | -14.75962 4.521095 -3.26 0.001 -23.68834 -5.830901 + 2008 | 8.75179 4.528481 1.93 0.055 -.1915154 17.69509 + 2011 | -2.069288 5.083832 -0.41 0.685 -12.10935 7.970779 + 2012 | -5.110627 4.733583 -1.08 0.282 -14.45899 4.237733 + 2013 | -2.114897 6.965631 -0.30 0.762 -15.87133 11.64154 + 2014 | 10.64973 10.2191 1.04 0.299 -9.531988 30.83146 + 2030 | .0165251 5.770919 0.00 0.998 -11.38047 11.41352 + 2099 | 42.20001 8.119572 5.20 0.000 26.16465 58.23537 + 2100 | 20.56803 12.53472 1.64 0.103 -4.186819 45.32288 + 2101 | .9949017 3.793035 0.26 0.793 -6.495969 8.485772 + 2102 | 14.57261 7.753494 1.88 0.062 -.7397795 29.885 + 2103 | .3351482 3.916623 0.09 0.932 -7.399797 8.070093 + 2104 | 10.96713 7.659832 1.43 0.154 -4.160284 26.09454 + 9999 | -17.90224 3.525848 -5.08 0.000 -24.86544 -10.93904 + | + house_administration | -4.318233 5.008559 -0.86 0.390 -14.20964 5.573178 + house_agriculture | 1.007393 2.93713 0.34 0.732 -4.79315 6.807936 + house_appropriations | 4.291124 7.354034 0.58 0.560 -10.23237 18.81462 + house_armedservices | 1.161819 3.283605 0.35 0.724 -5.322977 7.646615 + house_budget | -10.40205 5.1048 -2.04 0.043 -20.48353 -.3205766 + house_dc | -12.17616 10.55106 -1.15 0.250 -33.01347 8.661156 + house_educlabor | -5.713037 3.571099 -1.60 0.112 -12.76561 1.339533 + house_energycommerce | -5.629255 2.625009 -2.14 0.034 -10.81339 -.4451216 + house_foreignaffairs | -3.543213 5.572224 -0.64 0.526 -14.54781 7.461382 + house_governmentop | 7.581378 3.192784 2.37 0.019 1.275943 13.88681 + house_intelligence | -3.732917 7.628049 -0.49 0.625 -18.79756 11.33173 + house_interior | -6.950677 3.307968 -2.10 0.037 -13.48359 -.4177657 + house_judiciary | -4.350501 3.120718 -1.39 0.165 -10.51361 1.81261 + house_mmf | -.4955725 5.397538 -0.09 0.927 -11.15518 10.16403 + house_pocs | -.2838369 7.667674 -0.04 0.971 -15.42674 14.85906 + house_pwt | -6.349993 3.1436 -2.02 0.045 -12.55829 -.1416924 + house_rules | 3.171781 5.446636 0.58 0.561 -7.58479 13.92835 + house_sst | 6.330531 8.413964 0.75 0.453 -10.28622 22.94728 + house_smallbusi | -5.720994 5.340261 -1.07 0.286 -16.26748 4.825496 + house_soc | -5.506161 5.321475 -1.03 0.302 -16.01555 5.003228 + house_veterans | -1.908607 3.557644 -0.54 0.592 -8.934604 5.117389 + house_waysandmeans | -2.124056 2.448932 -0.87 0.387 -6.960455 2.712344 +house_naturalresources | -9.371836 3.101943 -3.02 0.003 -15.49787 -3.245805 + house_bfs | -5.552425 3.379094 -1.64 0.102 -12.2258 1.120953 + house_eeo | -11.01737 11.64482 -0.95 0.346 -34.01473 11.98 + house_govreform | 3.087723 4.426194 0.70 0.486 -5.653576 11.82902 + house_ir | -6.553848 3.464784 -1.89 0.060 -13.39645 .2887591 + house_natsecur | 6.563932 6.520877 1.01 0.316 -6.314158 19.44202 + house_oversight | -7.664983 4.622756 -1.66 0.099 -16.79447 1.464505 + house_resources | -3.481215 3.409345 -1.02 0.309 -10.21433 3.251905 + house_science | 8.010487 5.250242 1.53 0.129 -2.358225 18.3792 + house_transp | -.2029336 3.57522 -0.06 0.955 -7.263641 6.857774 + house_homeland | -17.80107 13.64464 -1.30 0.194 -44.74789 9.14574 + _cons | 20.33585 4.198149 4.84 0.000 12.04492 28.62678 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 107 1 0 1 1 + + +j = 3 k = 3 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 11.12081 18.1168 .6138395 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(58,683 missing values generated) +(61,323 missing values generated) +(2,640 real changes made) +reg pct_cosponsors_opposite sponsor_female i.v2 MV1_female femaleXMV1_female i.minor house_* [aw=wt] if sponsor_party==200 & tag_bill==1 & sample==1 & women_friend1 +> ==0 & abs(MV1_female)<=11.12080711934915, robust cluster(group_sponsor) +(sum of wgt is 1,165.78500950336) +note: house_dc omitted because of collinearity +note: house_soc omitted because of collinearity +note: house_eeo omitted because of collinearity + +Linear regression Number of obs = 692 + F(83, 84) = . + Prob > F = . + R-squared = 0.4239 + Root MSE = 19.684 + + (Std. Err. adjusted for 85 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -.2701508 3.950048 -0.07 0.946 -8.125255 7.584953 + | + v2 | + 103 | 3.367185 3.779727 0.89 0.376 -4.149216 10.88359 + 104 | -9.029636 5.158986 -1.75 0.084 -19.28885 1.229574 + 105 | -4.44345 4.691977 -0.95 0.346 -13.77396 4.887061 + 106 | 2.802325 4.214838 0.66 0.508 -5.579342 11.18399 + 107 | 14.15557 6.616659 2.14 0.035 .9976142 27.31352 + 108 | 16.99865 5.583544 3.04 0.003 5.895157 28.10214 + 109 | .7153011 4.599623 0.16 0.877 -8.431553 9.862155 + 110 | -1.751433 4.075103 -0.43 0.668 -9.855223 6.352357 + 111 | -1.080481 5.486356 -0.20 0.844 -11.9907 9.829739 + | + MV1_female | -.5378497 .4396274 -1.22 0.225 -1.412097 .3363976 + femaleXMV1_female | .5041208 .6349073 0.79 0.429 -.758462 1.766704 + | + minor | + 101 | 23.02324 22.63732 1.02 0.312 -21.99355 68.04003 + 104 | 11.1327 18.78746 0.59 0.555 -26.22823 48.49364 + 105 | 11.47695 20.88395 0.55 0.584 -30.05309 53.00698 + 107 | 6.511282 18.11488 0.36 0.720 -29.51214 42.53471 + 400 | 7.384992 18.45508 0.40 0.690 -29.31495 44.08494 + 401 | 15.77635 19.91991 0.79 0.431 -23.83657 55.38928 + 402 | 6.227595 20.38003 0.31 0.761 -34.30033 46.75552 + 403 | 15.26457 21.12117 0.72 0.472 -26.73719 57.26632 + 499 | 1.068039 18.1642 0.06 0.953 -35.05347 37.18955 + 700 | 7.761236 18.47656 0.42 0.676 -28.98143 44.5039 + 701 | 3.987459 21.3547 0.19 0.852 -38.4787 46.45362 + 703 | 25.94145 18.35633 1.41 0.161 -10.56213 62.44502 + 704 | 12.13437 20.02869 0.61 0.546 -27.69487 51.9636 + 705 | 14.48339 19.37768 0.75 0.457 -24.05126 53.01803 + 707 | -2.587717 18.68538 -0.14 0.890 -39.74564 34.5702 + 709 | 15.91574 19.16253 0.83 0.409 -22.19106 54.02253 + 710 | 24.58243 19.22103 1.28 0.204 -13.6407 62.80555 + 711 | 12.21362 20.31594 0.60 0.549 -28.18685 52.61409 + 800 | 36.32287 22.32938 1.63 0.108 -8.081555 80.72729 + 801 | 16.58819 27.60024 0.60 0.549 -38.29792 71.47431 + 802 | -3.279604 18.45297 -0.18 0.859 -39.97536 33.41615 + 803 | 15.00971 20.45106 0.73 0.465 -25.65948 55.67889 + 805 | -11.7322 20.61692 -0.57 0.571 -52.7312 29.2668 + 806 | -2.680892 18.6201 -0.14 0.886 -39.709 34.34721 + 807 | 1.161914 18.11325 0.06 0.949 -34.85828 37.18211 + 1001 | -1.275764 18.04332 -0.07 0.944 -37.15689 34.60536 + 1002 | .7943193 18.0455 0.04 0.965 -35.09114 36.67978 + 1003 | 20.42567 19.03106 1.07 0.286 -17.41968 58.27102 + 1005 | 43.07554 17.6201 2.44 0.017 8.036038 78.11503 + 1006 | 24.45511 19.22467 1.27 0.207 -13.77525 62.68547 + 1007 | 11.78589 19.41048 0.61 0.545 -26.81398 50.38575 + 1010 | 17.02131 24.32721 0.70 0.486 -31.35602 65.39864 + 1400 | 23.88733 20.99666 1.14 0.258 -17.86683 65.6415 + 1401 | -6.741675 17.5018 -0.39 0.701 -41.54592 28.06257 + 1404 | 57.86047 18.66077 3.10 0.003 20.75149 94.96945 + 1405 | 38.13083 17.73234 2.15 0.034 2.868133 73.39353 + 1406 | -2.223976 17.85987 -0.12 0.901 -37.74029 33.29234 + 1407 | 56.5486 24.71341 2.29 0.025 7.403277 105.6939 + 1409 | 30.11884 22.47556 1.34 0.184 -14.57628 74.81396 + 1410 | 7.891387 17.67159 0.45 0.656 -27.25051 43.03328 + 1499 | -3.91576 17.85911 -0.22 0.827 -39.43056 31.59904 + 1500 | 1.494852 20.39126 0.07 0.942 -39.05541 42.04512 + 1501 | 20.20653 18.88181 1.07 0.288 -17.34203 57.75508 + 1502 | 5.916127 20.29715 0.29 0.771 -34.44698 46.27923 + 1504 | 23.56107 19.60869 1.20 0.233 -15.43297 62.55511 + 1505 | 12.63311 21.62976 0.58 0.561 -30.38005 55.64626 + 1507 | 16.4845 18.66523 0.88 0.380 -20.63335 53.60235 + 1520 | 4.773788 19.88638 0.24 0.811 -34.77245 44.32003 + 1521 | -4.595364 19.41379 -0.24 0.813 -43.20182 34.0111 + 1523 | -2.937125 18.23247 -0.16 0.872 -39.1944 33.32015 + 1524 | 40.14769 18.96462 2.12 0.037 2.434459 77.86093 + 1525 | 6.799833 18.9794 0.36 0.721 -30.94279 44.54245 + 1526 | 35.03856 18.50639 1.89 0.062 -1.763424 71.84055 + 1599 | 20.39609 24.27181 0.84 0.403 -27.87107 68.66325 + 1600 | -32.15484 23.45643 -1.37 0.174 -78.80052 14.49083 + 1603 | -44.15711 27.48627 -1.61 0.112 -98.81657 10.50234 + 1604 | -1.60834 24.20966 -0.07 0.947 -49.75191 46.53523 + 1608 | 12.67328 19.09286 0.66 0.509 -25.29497 50.64153 + 1609 | 23.75566 18.59988 1.28 0.205 -13.23225 60.74357 + 1610 | -.8742249 20.13453 -0.04 0.965 -40.91395 39.1655 + 1611 | -9.240963 19.40806 -0.48 0.635 -47.83603 29.3541 + 1615 | 6.736039 24.84396 0.27 0.787 -42.66891 56.14099 + 1616 | 5.983362 18.70972 0.32 0.750 -31.22297 43.18969 + 1617 | 32.48853 19.51565 1.66 0.100 -6.320485 71.29755 + 1619 | 14.47783 23.52487 0.62 0.540 -32.30395 61.25961 + 1698 | 32.37668 21.09097 1.54 0.129 -9.565033 74.31839 + 1699 | 15.06554 18.96587 0.79 0.429 -22.65018 52.78126 + 1701 | 20.47293 34.03555 0.60 0.549 -47.21049 88.15634 + 1704 | 21.67814 19.8964 1.09 0.279 -17.88804 61.24433 + 1706 | 27.05093 23.17233 1.17 0.246 -19.02978 73.13164 + 1707 | 1.359515 19.56402 0.07 0.945 -37.54569 40.26472 + 1709 | 35.54681 18.68816 1.90 0.061 -1.616653 72.71027 + 1798 | 32.4752 28.95823 1.12 0.265 -25.11141 90.0618 + 1800 | 14.90744 22.44725 0.66 0.508 -29.73137 59.54625 + 1802 | 8.675106 31.2015 0.28 0.782 -53.3725 70.72271 + 1803 | .3776243 18.49117 0.02 0.984 -36.3941 37.14935 + 1806 | 36.54752 29.1753 1.25 0.214 -21.47076 94.5658 + 1807 | 2.648309 19.32435 0.14 0.891 -35.78027 41.07689 + 1808 | -3.493079 17.90854 -0.20 0.846 -39.10618 32.12003 + 1900 | -3.441113 19.20709 -0.18 0.858 -41.63652 34.75429 + 1901 | 8.296765 21.82537 0.38 0.705 -35.10538 51.69891 + 1902 | 21.42962 19.5245 1.10 0.276 -17.397 60.25624 + 1906 | 71.27777 19.07408 3.74 0.000 33.34687 109.2087 + 1907 | 42.16039 19.34828 2.18 0.032 3.684221 80.63657 + 1915 | 7.617405 19.97971 0.38 0.704 -32.11443 47.34924 + 1919 | -1.188827 19.53255 -0.06 0.952 -40.03144 37.65379 + 1925 | 47.66003 21.40418 2.23 0.029 5.095477 90.22458 + 1926 | 15.80467 18.49273 0.85 0.395 -20.97016 52.57949 + 1927 | 13.80876 22.33659 0.62 0.538 -30.61 58.22752 + 1929 | -1.984232 21.15343 -0.09 0.925 -44.05015 40.08168 + 2000 | 20.34929 22.3575 0.91 0.365 -24.11106 64.80964 + 2001 | 38.24975 19.95789 1.92 0.059 -1.438704 77.9382 + 2002 | 12.75976 18.31109 0.70 0.488 -23.65385 49.17338 + 2003 | 41.7339 19.4101 2.15 0.034 3.134792 80.33301 + 2004 | 26.89562 18.56375 1.45 0.151 -10.02044 63.81167 + 2005 | -11.85891 19.01784 -0.62 0.535 -49.67796 25.96014 + 2006 | 19.09201 20.36031 0.94 0.351 -21.39669 59.58071 + 2007 | -6.479619 18.71663 -0.35 0.730 -43.69968 30.74045 + 2008 | 14.08958 18.89786 0.75 0.458 -23.49088 51.67004 + 2009 | 6.382987 18.74908 0.34 0.734 -30.90161 43.66759 + 2011 | 12.7001 19.82966 0.64 0.524 -26.73336 52.13355 + 2012 | 8.042433 18.61237 0.43 0.667 -28.9703 45.05517 + 2013 | 7.653396 18.36226 0.42 0.678 -28.86197 44.16876 + 2014 | -.9193799 20.0054 -0.05 0.963 -40.70231 38.86355 + 2015 | 49.64766 20.24879 2.45 0.016 9.380715 89.9146 + 2100 | .5118378 19.72033 0.03 0.979 -38.7042 39.72788 + 2101 | 14.04518 18.00226 0.78 0.437 -21.75429 49.84465 + 2102 | 15.03174 19.84998 0.76 0.451 -24.44214 54.50561 + 2103 | 2.027365 18.05381 0.11 0.911 -33.87461 37.92934 + 2104 | 10.06 18.28234 0.55 0.584 -26.29644 46.41644 + 2105 | 53.79674 27.19034 1.98 0.051 -.2742295 107.8677 + | + house_administration | -8.392733 5.162466 -1.63 0.108 -18.65886 1.873397 + house_agriculture | 12.15724 4.948761 2.46 0.016 2.316087 21.99839 + house_appropriations | -13.2692 8.395085 -1.58 0.118 -29.96375 3.425347 + house_armedservices | -3.79072 8.348368 -0.45 0.651 -20.39236 12.81093 + house_budget | -9.131848 13.71224 -0.67 0.507 -36.40014 18.13644 + house_dc | 0 (omitted) + house_educlabor | 4.159255 7.87738 0.53 0.599 -11.50578 19.82429 + house_energycommerce | 5.643623 5.355269 1.05 0.295 -5.005917 16.29316 + house_foreignaffairs | -.7431258 9.968798 -0.07 0.941 -20.56717 19.08092 + house_governmentop | -9.952346 5.833794 -1.71 0.092 -21.55349 1.648793 + house_intelligence | 51.06849 18.00716 2.84 0.006 15.25928 86.8777 + house_interior | 3.896894 7.723885 0.50 0.615 -11.4629 19.25669 + house_judiciary | -6.295192 3.035272 -2.07 0.041 -12.33116 -.2592218 + house_mmf | -6.059064 8.758097 -0.69 0.491 -23.4755 11.35737 + house_pocs | -3.379547 6.687051 -0.51 0.615 -16.67748 9.918388 + house_pwt | 2.852141 6.827224 0.42 0.677 -10.72454 16.42882 + house_rules | -2.987776 3.350475 -0.89 0.375 -9.650564 3.675011 + house_sst | -5.978267 24.63318 -0.24 0.809 -54.96405 43.00752 + house_smallbusi | 22.27271 12.46953 1.79 0.078 -2.524312 47.06974 + house_soc | 0 (omitted) + house_veterans | -.1421581 9.390827 -0.02 0.988 -18.81685 18.53253 + house_waysandmeans | -1.525807 3.295775 -0.46 0.645 -8.079816 5.028203 +house_naturalresources | 18.67623 4.864136 3.84 0.000 9.003364 28.3491 + house_bfs | 4.590089 5.798073 0.79 0.431 -6.940016 16.12019 + house_eeo | 0 (omitted) + house_govreform | -2.773253 4.346213 -0.64 0.525 -11.41617 5.869669 + house_ir | 1.990655 7.646905 0.26 0.795 -13.21605 17.19736 + house_natsecur | 26.18523 10.17072 2.57 0.012 5.959629 46.41082 + house_oversight | 4.200936 5.342318 0.79 0.434 -6.42285 14.82472 + house_resources | -.736427 5.41793 -0.14 0.892 -11.51057 10.03772 + house_science | -5.417298 8.663439 -0.63 0.533 -22.6455 11.8109 + house_transp | -2.015984 3.933064 -0.51 0.610 -9.837313 5.805344 + house_homeland | -.8676308 16.61534 -0.05 0.958 -33.90906 32.1738 + _cons | -.7618981 17.8139 -0.04 0.966 -36.18678 34.66299 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 61 1 0 1 1 + + +j = 4 k = 1 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11989 +----------------------+---------------------- NN matches = 3 + Number of obs | 6150 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 15.71586 27.17455 .5783301 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(6,677 missing values generated) +(54,574 missing values generated) +(47,897 real changes made) +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* [aw=wt] if tag_bill==1 & women_friend1==0, robust cluster(group_sponsor) +(sum of wgt is 76,436.2674049139) + +Linear regression Number of obs = 37,535 + F(197, 4310) = . + Prob > F = . + R-squared = 0.1012 + Root MSE = 20.418 + + (Std. Err. adjusted for 4,311 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -.222502 .6345804 -0.35 0.726 -1.466606 1.021602 + | + v2 | + 102 | -2.55743 1.459288 -1.75 0.080 -5.418387 .3035259 + 103 | -3.729532 1.388642 -2.69 0.007 -6.451985 -1.007079 + 104 | -1.692102 1.993715 -0.85 0.396 -5.600809 2.216604 + 105 | -1.650191 1.731473 -0.95 0.341 -5.044769 1.744387 + 106 | -.3276903 1.66841 -0.20 0.844 -3.598632 2.943251 + 107 | -.4331738 1.551147 -0.28 0.780 -3.474221 2.607873 + 108 | -1.421161 1.619308 -0.88 0.380 -4.595837 1.753516 + 109 | -1.657904 1.373933 -1.21 0.228 -4.35152 1.035712 + 110 | -4.482746 1.302811 -3.44 0.001 -7.036926 -1.928565 + 111 | -5.711515 1.39414 -4.10 0.000 -8.444745 -2.978284 + | + minor | + 101 | 22.7964 8.883404 2.57 0.010 5.380358 40.21244 + 103 | 4.275885 4.750426 0.90 0.368 -5.037394 13.58917 + 104 | 12.22388 7.705577 1.59 0.113 -2.883012 27.33078 + 105 | 7.557752 3.392281 2.23 0.026 .9071358 14.20837 + 107 | 10.22658 3.284696 3.11 0.002 3.78689 16.66628 + 108 | 15.4325 7.214259 2.14 0.032 1.288842 29.57616 + 110 | 1.308642 3.50728 0.37 0.709 -5.567431 8.184715 + 400 | 7.25499 3.756658 1.93 0.054 -.1099925 14.61997 + 401 | 15.52761 5.83577 2.66 0.008 4.086503 26.96873 + 402 | 14.58704 3.890633 3.75 0.000 6.959399 22.21469 + 403 | 6.187511 3.838051 1.61 0.107 -1.337043 13.71207 + 404 | 22.33915 4.541301 4.92 0.000 13.43586 31.24243 + 405 | 11.65223 5.215229 2.23 0.026 1.427703 21.87677 + 498 | 9.251549 4.140156 2.23 0.025 1.134713 17.36838 + 499 | 9.180867 4.568586 2.01 0.045 .2240885 18.13765 + 700 | 10.39644 3.408086 3.05 0.002 3.714836 17.07804 + 701 | 15.72663 4.60055 3.42 0.001 6.707189 24.74608 + 703 | 12.85354 3.689957 3.48 0.001 5.619321 20.08775 + 704 | 12.75894 4.656215 2.74 0.006 3.630363 21.88752 + 705 | 9.544202 3.869675 2.47 0.014 1.957648 17.13076 + 707 | 9.784353 4.549171 2.15 0.032 .8656374 18.70307 + 708 | 7.371982 5.588021 1.32 0.187 -3.583414 18.32738 + 709 | 9.577028 2.695958 3.55 0.000 4.291563 14.86249 + 710 | 13.74842 3.260969 4.22 0.000 7.355245 20.1416 + 711 | 12.47947 4.013467 3.11 0.002 4.611009 20.34793 + 798 | 16.21468 5.977495 2.71 0.007 4.495713 27.93364 + 799 | 17.54975 6.115004 2.87 0.004 5.561194 29.5383 + 800 | 6.827438 3.36992 2.03 0.043 .220661 13.43421 + 801 | 14.20621 4.143903 3.43 0.001 6.082025 22.33039 + 802 | 12.4712 4.334018 2.88 0.004 3.974297 20.96811 + 803 | 7.757995 3.203412 2.42 0.015 1.477659 14.03833 + 805 | 1.922305 3.495396 0.55 0.582 -4.93047 8.775081 + 806 | 16.62466 4.263763 3.90 0.000 8.265494 24.98383 + 807 | 18.91582 3.936506 4.81 0.000 11.19825 26.6334 + 898 | 9.24395 8.022179 1.15 0.249 -6.483648 24.97155 + 899 | 1.996836 4.735591 0.42 0.673 -7.287359 11.28103 + 1000 | 11.97323 3.813821 3.14 0.002 4.496177 19.45028 + 1001 | 19.50306 5.549869 3.51 0.000 8.622457 30.38365 + 1002 | 13.09549 3.468496 3.78 0.000 6.295453 19.89553 + 1003 | 12.74622 3.341906 3.81 0.000 6.194365 19.29807 + 1005 | 17.33776 4.731122 3.66 0.000 8.06233 26.6132 + 1006 | 20.68725 4.728218 4.38 0.000 11.41751 29.95699 + 1007 | 12.93112 3.178794 4.07 0.000 6.699048 19.16319 + 1010 | 1.928 3.420964 0.56 0.573 -4.77885 8.634851 + 1098 | 8.675948 6.887527 1.26 0.208 -4.827148 22.17905 + 1099 | 26.46387 12.97272 2.04 0.041 1.030678 51.89707 + 1400 | 11.27048 3.614229 3.12 0.002 4.18473 18.35623 + 1401 | 11.49102 3.58832 3.20 0.001 4.456071 18.52598 + 1403 | 15.72313 4.371142 3.60 0.000 7.153445 24.29282 + 1404 | 5.99146 4.254014 1.41 0.159 -2.348595 14.33152 + 1405 | 18.23005 6.167034 2.96 0.003 6.139488 30.32061 + 1406 | 9.032829 3.772759 2.39 0.017 1.63628 16.42938 + 1407 | 16.82432 5.268762 3.19 0.001 6.494832 27.1538 + 1408 | 4.517353 4.496161 1.00 0.315 -4.297437 13.33214 + 1409 | 24.43673 7.999033 3.05 0.002 8.754511 40.11895 + 1410 | 20.36897 4.990509 4.08 0.000 10.585 30.15293 + 1499 | 9.740638 5.091751 1.91 0.056 -.2418139 19.72309 + 1500 | 8.632173 4.098759 2.11 0.035 .5964961 16.66785 + 1501 | 16.50565 3.60269 4.58 0.000 9.442526 23.56878 + 1502 | 12.77665 3.404467 3.75 0.000 6.102139 19.45115 + 1504 | 10.22063 3.679736 2.78 0.006 3.006449 17.4348 + 1505 | 18.95587 4.389394 4.32 0.000 10.3504 27.56134 + 1507 | 12.72329 4.203467 3.03 0.002 4.482332 20.96425 + 1520 | 6.370832 3.439057 1.85 0.064 -.3714879 13.11315 + 1521 | 16.50174 3.880389 4.25 0.000 8.894184 24.1093 + 1522 | 26.19883 3.847728 6.81 0.000 18.6553 33.74236 + 1523 | 13.16304 3.739741 3.52 0.000 5.831222 20.49486 + 1524 | 17.28811 5.18126 3.34 0.001 7.130177 27.44605 + 1525 | 11.44106 4.086934 2.80 0.005 3.428567 19.45355 + 1526 | 16.91562 3.660777 4.62 0.000 9.738612 24.09262 + 1599 | 17.39924 4.998436 3.48 0.001 7.599736 27.19875 + 1600 | 12.88208 3.725634 3.46 0.001 5.577924 20.18624 + 1602 | 4.997545 4.438322 1.13 0.260 -3.70385 13.69894 + 1603 | 4.934439 4.216815 1.17 0.242 -3.332688 13.20157 + 1604 | 13.945 5.219822 2.67 0.008 3.71146 24.17853 + 1605 | 15.60495 7.244489 2.15 0.031 1.402028 29.80788 + 1606 | 8.758273 4.399216 1.99 0.047 .1335462 17.383 + 1608 | 13.9543 3.168832 4.40 0.000 7.741758 20.16684 + 1609 | 13.5471 3.428492 3.95 0.000 6.825491 20.26871 + 1610 | 10.04736 4.590494 2.19 0.029 1.047629 19.04709 + 1611 | 17.53651 5.683144 3.09 0.002 6.394625 28.6784 + 1612 | 16.37842 4.030492 4.06 0.000 8.476584 24.28026 + 1614 | 6.221547 4.158655 1.50 0.135 -1.931557 14.37465 + 1615 | 10.82528 3.66433 2.95 0.003 3.641308 18.00925 + 1616 | 4.726681 2.494347 1.89 0.058 -.1635226 9.616885 + 1617 | 7.458848 3.640619 2.05 0.041 .3213626 14.59633 + 1619 | 4.231989 3.605084 1.17 0.241 -2.835831 11.29981 + 1620 | 18.65666 6.385539 2.92 0.003 6.137716 31.1756 + 1698 | 13.11081 4.396652 2.98 0.003 4.491112 21.73051 + 1699 | 19.26129 4.355241 4.42 0.000 10.72278 27.7998 + 1700 | 18.80066 5.778624 3.25 0.001 7.471583 30.12974 + 1701 | 14.31852 4.697328 3.05 0.002 5.109338 23.5277 + 1704 | 21.0452 6.66355 3.16 0.002 7.981212 34.10919 + 1705 | 6.11125 8.942336 0.68 0.494 -11.42033 23.64283 + 1706 | 17.43663 4.419217 3.95 0.000 8.772686 26.10056 + 1707 | 12.71901 4.647581 2.74 0.006 3.607361 21.83066 + 1708 | 16.9465 4.459333 3.80 0.000 8.203913 25.68909 + 1709 | 26.45746 4.576401 5.78 0.000 17.48536 35.42956 + 1798 | 23.38326 5.001601 4.68 0.000 13.57755 33.18897 + 1799 | 6.45016 5.297868 1.22 0.223 -3.936388 16.83671 + 1800 | 21.97558 7.43276 2.96 0.003 7.403549 36.54762 + 1802 | 12.5104 3.543549 3.53 0.000 5.563222 19.45758 + 1803 | 16.80507 5.238768 3.21 0.001 6.534391 27.07575 + 1804 | 11.51444 3.993913 2.88 0.004 3.684313 19.34456 + 1806 | 19.84919 8.780457 2.26 0.024 2.634976 37.0634 + 1807 | .8308867 3.252787 0.26 0.798 -5.54625 7.208024 + 1808 | 12.5314 4.632817 2.70 0.007 3.448693 21.6141 + 1899 | -.6058005 4.063972 -0.15 0.882 -8.573277 7.361676 + 1900 | 12.13718 3.843203 3.16 0.002 4.60252 19.67183 + 1901 | 11.05815 2.862496 3.86 0.000 5.446187 16.67011 + 1902 | 19.88536 5.598094 3.55 0.000 8.910211 30.8605 + 1905 | 6.226674 4.299213 1.45 0.148 -2.201995 14.65534 + 1906 | 12.95293 4.221613 3.07 0.002 4.676396 21.22946 + 1907 | 17.71699 7.37362 2.40 0.016 3.260897 32.17308 + 1908 | 12.60609 5.310367 2.37 0.018 2.195038 23.01714 + 1909 | 32.9581 7.699766 4.28 0.000 17.8626 48.05361 + 1910 | 45.95358 13.33151 3.45 0.001 19.81696 72.09021 + 1911 | 12.21539 4.276787 2.86 0.004 3.830687 20.6001 + 1912 | -4.212685 2.995136 -1.41 0.160 -10.08469 1.659322 + 1914 | 6.028404 3.510175 1.72 0.086 -.8533454 12.91015 + 1915 | 23.8651 6.920759 3.45 0.001 10.29685 37.43335 + 1919 | 16.84884 4.490019 3.75 0.000 8.046091 25.65158 + 1920 | 15.8468 3.794736 4.18 0.000 8.407164 23.28643 + 1925 | 24.43706 8.721219 2.80 0.005 7.338986 41.53514 + 1926 | 12.73403 8.064153 1.58 0.114 -3.075857 28.54392 + 1927 | 7.138207 3.414968 2.09 0.037 .4431125 13.8333 + 1929 | 12.16223 4.026191 3.02 0.003 4.268824 20.05563 + 1999 | 19.22106 8.927235 2.15 0.031 1.719085 36.72303 + 2000 | 6.407975 3.678191 1.74 0.082 -.8031727 13.61912 + 2001 | 10.61753 4.953789 2.14 0.032 .9055578 20.32951 + 2002 | 9.051501 3.34009 2.71 0.007 2.503205 15.5998 + 2003 | 24.44441 4.919514 4.97 0.000 14.79963 34.08919 + 2004 | 17.17218 3.390363 5.06 0.000 10.52532 23.81903 + 2005 | 8.153322 5.863894 1.39 0.164 -3.342928 19.64957 + 2006 | 32.30653 3.821837 8.45 0.000 24.81376 39.7993 + 2007 | 9.527192 4.52151 2.11 0.035 .6627053 18.39168 + 2008 | 24.09176 3.027592 7.96 0.000 18.15612 30.0274 + 2009 | 13.29554 6.103097 2.18 0.029 1.330331 25.26075 + 2010 | -.0096577 3.216425 -0.00 0.998 -6.315506 6.29619 + 2011 | 7.719549 3.11963 2.47 0.013 1.603469 13.83563 + 2012 | 6.883628 3.090184 2.23 0.026 .8252779 12.94198 + 2013 | 7.784988 4.815265 1.62 0.106 -1.655409 17.22539 + 2014 | 8.948737 4.805209 1.86 0.063 -.4719452 18.36942 + 2015 | 14.11749 4.709934 3.00 0.003 4.883592 23.35138 + 2030 | 13.74909 7.375652 1.86 0.062 -.7109859 28.20916 + 2099 | 12.77628 4.658217 2.74 0.006 3.643778 21.90878 + 2100 | 3.088968 3.385004 0.91 0.362 -3.547381 9.725317 + 2101 | 13.2548 3.051101 4.34 0.000 7.273076 19.23653 + 2102 | 15.17751 3.299811 4.60 0.000 8.708183 21.64684 + 2103 | 8.139261 2.771285 2.94 0.003 2.706118 13.57241 + 2104 | 9.047931 3.270087 2.77 0.006 2.636878 15.45898 + 2105 | 10.43578 4.342289 2.40 0.016 1.922659 18.9489 + 2199 | -.2827313 5.529482 -0.05 0.959 -11.12336 10.5579 + 9999 | 9.821885 3.543155 2.77 0.006 2.875479 16.76829 + | + house_administration | -1.814122 1.23182 -1.47 0.141 -4.229122 .600879 + house_agriculture | 2.063661 1.573286 1.31 0.190 -1.020789 5.148111 + house_appropriations | -7.273314 1.16159 -6.26 0.000 -9.550628 -4.996001 + house_armedservices | -1.468682 1.326075 -1.11 0.268 -4.068472 1.131108 + house_budget | .4354534 1.983286 0.22 0.826 -3.452808 4.323714 + house_dc | 5.045478 10.69608 0.47 0.637 -15.92434 26.0153 + house_educlabor | -3.633059 1.371828 -2.65 0.008 -6.322547 -.9435709 + house_energycommerce | -.439578 .9002857 -0.49 0.625 -2.204601 1.325445 + house_foreignaffairs | 1.609788 2.752703 0.58 0.559 -3.786927 7.006503 + house_governmentop | 3.389635 2.074674 1.63 0.102 -.6777931 7.457064 + house_intelligence | .4192775 2.621699 0.16 0.873 -4.720602 5.559157 + house_interior | 1.988722 2.419618 0.82 0.411 -2.754974 6.732418 + house_judiciary | -.7243846 .7573526 -0.96 0.339 -2.209185 .7604163 + house_mmf | 1.151767 2.741151 0.42 0.674 -4.2223 6.525833 + house_pocs | 1.02625 2.872179 0.36 0.721 -4.604699 6.657198 + house_pwt | 2.209385 1.767829 1.25 0.211 -1.256469 5.67524 + house_rules | -.2980561 2.203877 -0.14 0.892 -4.618789 4.022677 + house_sst | 9.484798 3.591127 2.64 0.008 2.444341 16.52526 + house_smallbusi | -3.957161 1.979921 -2.00 0.046 -7.838825 -.075497 + house_soc | .1393285 3.177365 0.04 0.965 -6.089941 6.368598 + house_veterans | 2.516246 1.593371 1.58 0.114 -.6075801 5.640072 + house_waysandmeans | .6583935 .9040502 0.73 0.466 -1.11401 2.430797 +house_naturalresources | 2.857075 1.589925 1.80 0.072 -.2599953 5.974145 + house_bfs | -1.586174 .8839465 -1.79 0.073 -3.319164 .1468157 + house_eeo | -9.299341 2.413933 -3.85 0.000 -14.03189 -4.56679 + house_govreform | .3573805 1.266136 0.28 0.778 -2.124898 2.839659 + house_ir | 1.616448 1.425213 1.13 0.257 -1.177703 4.4106 + house_natsecur | -4.126788 1.821226 -2.27 0.024 -7.697328 -.5562481 + house_oversight | .2702986 1.297677 0.21 0.835 -2.273816 2.814413 + house_resources | -1.462447 1.177592 -1.24 0.214 -3.771134 .846239 + house_science | .4084465 1.651487 0.25 0.805 -2.829319 3.646212 + house_transp | 1.430398 1.02664 1.39 0.164 -.5823456 3.443142 + house_homeland | -1.312192 1.764849 -0.74 0.457 -4.772204 2.14782 + _cons | 5.43929 3.376961 1.61 0.107 -1.181291 12.05987 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 3,020 1 0 1 1 + + +j = 4 k = 2 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6186 +----------------------+---------------------- NN matches = 3 + Number of obs | 2192 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 24.47749 44.63704 .5483673 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(6,677 missing values generated) +(54,574 missing values generated) +(47,897 real changes made) +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==100 & tag_bill==1 & women_friend1==0, robust cluster(group_sponsor) +(sum of wgt is 38,310.5932351351) + +Linear regression Number of obs = 19,243 + F(197, 2225) = . + Prob > F = . + R-squared = 0.1041 + Root MSE = 17.939 + + (Std. Err. adjusted for 2,226 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -1.254988 .6585581 -1.91 0.057 -2.546441 .0364647 + | + v2 | + 102 | -3.006522 1.219272 -2.47 0.014 -5.397551 -.6154934 + 103 | -3.27663 1.195318 -2.74 0.006 -5.620685 -.9325753 + 104 | -4.327309 1.408482 -3.07 0.002 -7.089386 -1.565233 + 105 | -3.462124 1.661337 -2.08 0.037 -6.720056 -.2041911 + 106 | -4.08708 1.361064 -3.00 0.003 -6.756169 -1.417991 + 107 | -3.146316 1.689742 -1.86 0.063 -6.459953 .1673205 + 108 | -5.281557 1.216291 -4.34 0.000 -7.666742 -2.896373 + 109 | -6.503542 1.226759 -5.30 0.000 -8.909253 -4.09783 + 110 | -1.804505 1.434116 -1.26 0.208 -4.61685 1.00784 + 111 | -3.582097 1.46298 -2.45 0.014 -6.451046 -.7131472 + | + minor | + 101 | -3.570721 5.273427 -0.68 0.498 -13.91207 6.770632 + 103 | -5.709533 2.996322 -1.91 0.057 -11.58541 .1663478 + 104 | -1.564447 4.711351 -0.33 0.740 -10.80355 7.674658 + 105 | 3.574057 4.450411 0.80 0.422 -5.153336 12.30145 + 107 | 1.106155 3.067489 0.36 0.718 -4.909285 7.121595 + 108 | .7197892 4.014818 0.18 0.858 -7.153393 8.592972 + 110 | -8.648628 3.690007 -2.34 0.019 -15.88484 -1.412411 + 400 | -2.569801 3.600835 -0.71 0.476 -9.631149 4.491546 + 401 | 14.60385 5.784645 2.52 0.012 3.259987 25.94772 + 402 | 5.484138 5.078362 1.08 0.280 -4.474686 15.44296 + 403 | -2.781182 3.483727 -0.80 0.425 -9.612877 4.050514 + 404 | 6.99548 5.100294 1.37 0.170 -3.006354 16.99731 + 405 | 2.519611 5.698588 0.44 0.658 -8.655496 13.69472 + 498 | -.0150589 4.513915 -0.00 0.997 -8.866985 8.836868 + 499 | .1979144 6.159 0.03 0.974 -11.88007 12.2759 + 700 | .4730269 3.873377 0.12 0.903 -7.122785 8.068839 + 701 | 1.147426 4.798871 0.24 0.811 -8.263308 10.55816 + 703 | 1.646118 3.320111 0.50 0.620 -4.864722 8.156958 + 704 | .5524925 4.146552 0.13 0.894 -7.579024 8.684009 + 705 | -.6842396 3.251605 -0.21 0.833 -7.060737 5.692258 + 707 | 7.086328 4.284282 1.65 0.098 -1.315282 15.48794 + 708 | -6.048923 3.050674 -1.98 0.048 -12.03139 -.066458 + 709 | 1.699757 3.02152 0.56 0.574 -4.225537 7.625051 + 710 | 4.042173 3.945883 1.02 0.306 -3.695825 11.78017 + 711 | -.2383774 3.43273 -0.07 0.945 -6.970066 6.493311 + 798 | -5.446893 3.978608 -1.37 0.171 -13.24906 2.355279 + 799 | -4.123579 3.842912 -1.07 0.283 -11.65965 3.412489 + 800 | -2.788585 3.096729 -0.90 0.368 -8.861367 3.284196 + 801 | 8.96917 4.623588 1.94 0.053 -.0978277 18.03617 + 802 | 4.493292 5.166573 0.87 0.385 -5.638516 14.6251 + 803 | .5118027 3.497588 0.15 0.884 -6.347076 7.370681 + 805 | 2.655227 4.686229 0.57 0.571 -6.534612 11.84507 + 806 | 9.267441 5.021273 1.85 0.065 -.5794291 19.11431 + 807 | 5.119211 3.629017 1.41 0.158 -1.997404 12.23583 + 898 | 1.620722 13.11475 0.12 0.902 -24.0977 27.33914 + 899 | -7.664164 3.163831 -2.42 0.015 -13.86853 -1.459794 + 1000 | -.045357 3.735938 -0.01 0.990 -7.371646 7.280932 + 1001 | -3.269485 3.820646 -0.86 0.392 -10.76189 4.22292 + 1002 | 3.23384 4.119702 0.78 0.433 -4.845023 11.3127 + 1003 | 1.532496 3.226823 0.47 0.635 -4.795403 7.860396 + 1005 | 4.383952 4.4681 0.98 0.327 -4.378129 13.14603 + 1006 | 1.959699 3.469326 0.56 0.572 -4.843757 8.763155 + 1007 | 3.931384 3.388376 1.16 0.246 -2.713325 10.57609 + 1010 | -7.250958 3.017779 -2.40 0.016 -13.16892 -1.333 + 1098 | -6.494383 4.542635 -1.43 0.153 -15.40263 2.413863 + 1099 | 10.80262 13.21012 0.82 0.414 -15.10284 36.70807 + 1400 | 1.202973 3.251935 0.37 0.711 -5.174171 7.580117 + 1401 | .0390335 3.284646 0.01 0.991 -6.402259 6.480326 + 1403 | -.6832395 3.465963 -0.20 0.844 -7.480099 6.11362 + 1404 | -4.089176 3.954799 -1.03 0.301 -11.84466 3.666307 + 1405 | 7.733013 4.90866 1.58 0.115 -1.89302 17.35905 + 1406 | -3.021207 3.137432 -0.96 0.336 -9.173808 3.131394 + 1407 | 1.352042 5.018599 0.27 0.788 -8.489585 11.19367 + 1408 | -6.76254 3.243586 -2.08 0.037 -13.12331 -.4017682 + 1409 | -2.313102 3.883125 -0.60 0.551 -9.928029 5.301825 + 1410 | 2.145205 3.60213 0.60 0.552 -4.918683 9.209094 + 1499 | -.8506958 5.814355 -0.15 0.884 -12.25283 10.55143 + 1500 | -3.083939 3.487414 -0.88 0.377 -9.922865 3.754986 + 1501 | 1.880305 3.009548 0.62 0.532 -4.021512 7.782121 + 1502 | 5.03079 3.294602 1.53 0.127 -1.430026 11.49161 + 1504 | 3.418532 4.219294 0.81 0.418 -4.855633 11.6927 + 1505 | 3.237839 4.347752 0.74 0.457 -5.288235 11.76391 + 1507 | 1.255135 5.488864 0.23 0.819 -9.508696 12.01897 + 1520 | -2.040033 3.16015 -0.65 0.519 -8.237184 4.157118 + 1521 | 2.304972 3.321853 0.69 0.488 -4.209283 8.819227 + 1522 | 13.54101 3.839938 3.53 0.000 6.010771 21.07124 + 1523 | -.3914026 3.102863 -0.13 0.900 -6.476211 5.693406 + 1524 | 10.53028 5.141732 2.05 0.041 .4471819 20.61337 + 1525 | -.9816703 3.143053 -0.31 0.755 -7.145294 5.181954 + 1526 | 2.233357 3.487719 0.64 0.522 -4.606166 9.072881 + 1599 | 5.927462 5.705894 1.04 0.299 -5.26197 17.1169 + 1600 | 7.526908 5.020433 1.50 0.134 -2.318315 17.37213 + 1602 | .4302834 3.985003 0.11 0.914 -7.384431 8.244998 + 1603 | -11.03517 4.784852 -2.31 0.021 -20.41841 -1.651923 + 1604 | 2.117269 4.910658 0.43 0.666 -7.512682 11.74722 + 1605 | .0124262 3.417005 0.00 0.997 -6.688426 6.713278 + 1606 | 1.089608 4.00059 0.27 0.785 -6.755673 8.934888 + 1608 | 6.473236 3.224465 2.01 0.045 .1499614 12.79651 + 1609 | 1.560562 3.638078 0.43 0.668 -5.57382 8.694945 + 1610 | -1.31934 3.588039 -0.37 0.713 -8.355595 5.716914 + 1611 | 15.74707 7.939819 1.98 0.047 .1768432 31.3173 + 1612 | 1.688302 3.208743 0.53 0.599 -4.604143 7.980746 + 1614 | 3.256466 4.254881 0.77 0.444 -5.087486 11.60042 + 1615 | .8892677 3.831808 0.23 0.817 -6.625026 8.403562 + 1616 | 1.26233 3.233017 0.39 0.696 -5.077716 7.602376 + 1617 | -2.494914 3.473926 -0.72 0.473 -9.307389 4.317561 + 1619 | -3.797072 3.323469 -1.14 0.253 -10.3145 2.720353 + 1620 | 10.10833 7.634723 1.32 0.186 -4.863595 25.08026 + 1698 | 6.827633 6.076393 1.12 0.261 -5.088361 18.74363 + 1699 | 7.377121 3.347837 2.20 0.028 .8119103 13.94233 + 1700 | 7.137861 4.455806 1.60 0.109 -1.600111 15.87583 + 1701 | 6.684441 6.067187 1.10 0.271 -5.2135 18.58238 + 1704 | 12.62921 10.17999 1.24 0.215 -7.334069 32.59248 + 1705 | -6.455141 6.942992 -0.93 0.353 -20.07056 7.16028 + 1706 | .148038 3.206613 0.05 0.963 -6.14023 6.436305 + 1707 | .8531879 3.58196 0.24 0.812 -6.171147 7.877522 + 1708 | 7.226413 4.338552 1.67 0.096 -1.281621 15.73445 + 1709 | 11.53922 5.671637 2.03 0.042 .4169688 22.66148 + 1798 | 1.999684 4.047076 0.49 0.621 -5.936757 9.936125 + 1799 | -5.596205 6.276008 -0.89 0.373 -17.90365 6.71124 + 1800 | 11.14717 9.697067 1.15 0.250 -7.869075 30.16342 + 1802 | .3985001 3.457817 0.12 0.908 -6.382386 7.179386 + 1803 | -.2072141 3.633923 -0.06 0.955 -7.333448 6.91902 + 1804 | -1.170067 3.988078 -0.29 0.769 -8.99081 6.650676 + 1806 | 18.99781 9.102967 2.09 0.037 1.146609 36.84901 + 1807 | -6.228186 3.060997 -2.03 0.042 -12.2309 -.2254763 + 1808 | 12.16613 9.136886 1.33 0.183 -5.75158 30.08385 + 1899 | -12.37822 3.398216 -3.64 0.000 -19.04222 -5.714213 + 1900 | .9407729 4.203929 0.22 0.823 -7.30326 9.184806 + 1901 | 2.406103 3.213751 0.75 0.454 -3.896162 8.708369 + 1902 | 6.140756 3.655202 1.68 0.093 -1.027207 13.30872 + 1905 | -.9119635 3.579303 -0.25 0.799 -7.931086 6.107159 + 1906 | 4.887021 3.371458 1.45 0.147 -1.724511 11.49855 + 1907 | 8.992386 6.016071 1.49 0.135 -2.805313 20.79009 + 1908 | -.4397261 4.924428 -0.09 0.929 -10.09668 9.217228 + 1909 | 5.504289 5.37865 1.02 0.306 -5.043409 16.05199 + 1910 | -3.276838 3.583015 -0.91 0.361 -10.30324 3.749565 + 1911 | .6870535 3.795841 0.18 0.856 -6.756707 8.130814 + 1912 | -16.89412 3.865539 -4.37 0.000 -24.47457 -9.313683 + 1914 | -6.18344 3.618023 -1.71 0.088 -13.27849 .9116148 + 1915 | 26.38507 5.579927 4.73 0.000 15.44266 37.32748 + 1919 | 5.490974 5.668086 0.97 0.333 -5.624317 16.60626 + 1920 | 5.859323 3.595197 1.63 0.103 -1.190969 12.90961 + 1925 | -.2307694 3.064688 -0.08 0.940 -6.240718 5.779179 + 1926 | 2.106389 3.878809 0.54 0.587 -5.500075 9.712853 + 1927 | -.1263376 4.249806 -0.03 0.976 -8.460339 8.207664 + 1929 | 3.1859 3.830876 0.83 0.406 -4.326566 10.69836 + 1999 | 11.22299 13.28911 0.84 0.398 -14.83737 37.28335 + 2000 | -1.964617 4.069813 -0.48 0.629 -9.945646 6.016411 + 2001 | 5.355323 6.297464 0.85 0.395 -6.994198 17.70484 + 2002 | .3156398 3.387294 0.09 0.926 -6.326948 6.958228 + 2003 | 3.139086 3.775883 0.83 0.406 -4.265537 10.54371 + 2004 | 5.970798 3.208122 1.86 0.063 -.3204278 12.26202 + 2005 | 9.713171 6.650334 1.46 0.144 -3.328338 22.75468 + 2006 | 16.62635 3.332171 4.99 0.000 10.09186 23.16084 + 2007 | -2.421867 3.191268 -0.76 0.448 -8.680041 3.836306 + 2008 | 14.96975 3.125454 4.79 0.000 8.840643 21.09886 + 2009 | 8.045435 5.393318 1.49 0.136 -2.531026 18.6219 + 2010 | -12.49721 3.207986 -3.90 0.000 -18.78817 -6.206251 + 2011 | -.2461614 3.428752 -0.07 0.943 -6.970049 6.477727 + 2012 | -4.512028 3.024895 -1.49 0.136 -10.44394 1.419885 + 2013 | -1.174669 4.999839 -0.23 0.814 -10.97951 8.63017 + 2014 | 4.686569 4.270843 1.10 0.273 -3.688685 13.06182 + 2015 | .5788769 4.174999 0.14 0.890 -7.608425 8.766179 + 2030 | -2.873561 5.081155 -0.57 0.572 -12.83786 7.09074 + 2099 | 3.821537 5.000865 0.76 0.445 -5.985314 13.62839 + 2100 | -5.491853 3.705219 -1.48 0.138 -12.7579 1.774196 + 2101 | .7941063 3.202565 0.25 0.804 -5.486222 7.074434 + 2102 | 2.568823 2.925923 0.88 0.380 -3.169001 8.306648 + 2103 | .5961265 3.258415 0.18 0.855 -5.793726 6.985979 + 2104 | .2880578 3.541281 0.08 0.935 -6.656502 7.232618 + 2105 | -3.439062 3.886142 -0.88 0.376 -11.05991 4.181783 + 2199 | -11.2648 3.242117 -3.47 0.001 -17.62269 -4.906904 + 9999 | 4.020591 3.566907 1.13 0.260 -2.974223 11.01541 + | + house_administration | 2.861039 1.61866 1.77 0.077 -.3132031 6.03528 + house_agriculture | 3.189719 1.776654 1.80 0.073 -.2943536 6.673792 + house_appropriations | -3.759187 2.888001 -1.30 0.193 -9.422645 1.904271 + house_armedservices | -2.840034 1.885686 -1.51 0.132 -6.537922 .8578549 + house_budget | -8.761514 2.854471 -3.07 0.002 -14.35922 -3.16381 + house_dc | -7.882475 3.722721 -2.12 0.034 -15.18285 -.5821043 + house_educlabor | -3.804433 1.090813 -3.49 0.000 -5.943551 -1.665315 + house_energycommerce | -1.313622 .7190868 -1.83 0.068 -2.723773 .0965299 + house_foreignaffairs | 2.288023 1.673658 1.37 0.172 -.9940704 5.570117 + house_governmentop | -.8969502 1.745264 -0.51 0.607 -4.319466 2.525566 + house_intelligence | 6.269674 3.631325 1.73 0.084 -.851465 13.39081 + house_interior | 2.693139 1.864579 1.44 0.149 -.9633574 6.349635 + house_judiciary | 1.436082 .9659336 1.49 0.137 -.4581431 3.330308 + house_mmf | -2.244592 2.153738 -1.04 0.297 -6.468138 1.978954 + house_pocs | -2.466247 3.783978 -0.65 0.515 -9.886744 4.95425 + house_pwt | 2.84693 2.02627 1.41 0.160 -1.126648 6.820507 + house_rules | 7.640429 4.555877 1.68 0.094 -1.293787 16.57464 + house_sst | 11.22937 3.860794 2.91 0.004 3.658229 18.8005 + house_smallbusi | -3.923789 1.904422 -2.06 0.039 -7.658419 -.1891592 + house_soc | -3.054543 4.159543 -0.73 0.463 -11.21153 5.102449 + house_veterans | 1.621313 2.713788 0.60 0.550 -3.700509 6.943135 + house_waysandmeans | .7722134 .931845 0.83 0.407 -1.055163 2.59959 +house_naturalresources | .7473255 1.73881 0.43 0.667 -2.662535 4.157186 + house_bfs | -2.701151 1.102128 -2.45 0.014 -4.862458 -.5398437 + house_eeo | -3.405152 2.265793 -1.50 0.133 -7.848443 1.038138 + house_govreform | 2.790133 1.279515 2.18 0.029 .2809646 5.299301 + house_ir | 1.342731 1.346961 1.00 0.319 -1.298701 3.984163 + house_natsecur | -.4497075 2.120342 -0.21 0.832 -4.607763 3.708348 + house_oversight | -3.374703 1.572484 -2.15 0.032 -6.458393 -.2910135 + house_resources | 2.151858 1.735872 1.24 0.215 -1.25224 5.555956 + house_science | -1.235972 1.745144 -0.71 0.479 -4.658253 2.186309 + house_transp | 1.157332 1.203542 0.96 0.336 -1.202851 3.517516 + house_homeland | .0761789 2.021924 0.04 0.970 -3.888876 4.041234 + _cons | 14.12062 2.976383 4.74 0.000 8.283843 19.9574 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,524 1 0 1 1 + + +j = 4 k = 3 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 11.12081 18.1168 .6138395 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(6,677 missing values generated) +(54,574 missing values generated) +(47,897 real changes made) +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==200 & tag_bill==1 & women_friend1==0, robust cluster(group_sponsor) +(sum of wgt is 34,345.1966582537) + +Linear regression Number of obs = 18,278 + F(197, 2081) = 29.91 + Prob > F = 0.0000 + R-squared = 0.1723 + Root MSE = 21.444 + + (Std. Err. adjusted for 2,082 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | .963916 .9186863 1.05 0.294 -.8377238 2.765556 + | + v2 | + 102 | .6595201 2.060801 0.32 0.749 -3.381927 4.700967 + 103 | -1.948496 2.379073 -0.82 0.413 -6.614108 2.717115 + 104 | -2.772601 2.459256 -1.13 0.260 -7.595459 2.050257 + 105 | -2.349668 2.320871 -1.01 0.311 -6.901138 2.201802 + 106 | 1.035396 2.088109 0.50 0.620 -3.059604 5.130396 + 107 | .6068012 1.989904 0.30 0.760 -3.295609 4.509212 + 108 | -.8660625 2.600013 -0.33 0.739 -5.96496 4.232835 + 109 | -.3087318 1.880144 -0.16 0.870 -3.995892 3.378428 + 110 | -8.109595 2.036903 -3.98 0.000 -12.10417 -4.115015 + 111 | -7.284489 2.102893 -3.46 0.001 -11.40848 -3.160497 + | + minor | + 101 | 25.48342 8.036423 3.17 0.002 9.723154 41.24369 + 103 | 13.22881 10.6967 1.24 0.216 -7.748539 34.20616 + 104 | 9.679647 7.592876 1.27 0.203 -5.210778 24.57007 + 105 | 5.295513 3.311645 1.60 0.110 -1.198968 11.78999 + 107 | 10.81032 3.434796 3.15 0.002 4.074324 17.54631 + 108 | 23.76047 9.716631 2.45 0.015 4.705136 42.8158 + 110 | -.6324149 4.141541 -0.15 0.879 -8.75441 7.48958 + 400 | 11.39873 4.354697 2.62 0.009 2.858715 19.93875 + 401 | 17.31798 5.788931 2.99 0.003 5.965282 28.67068 + 402 | 17.94133 4.031417 4.45 0.000 10.0353 25.84736 + 403 | 17.5338 5.057627 3.47 0.001 7.615265 27.45234 + 404 | 24.60508 4.030654 6.10 0.000 16.70055 32.50962 + 405 | 9.282393 7.07484 1.31 0.190 -4.592108 23.15689 + 498 | 16.52855 5.349406 3.09 0.002 6.037806 27.01929 + 499 | 11.98846 4.872092 2.46 0.014 2.433773 21.54314 + 700 | 13.73469 4.437503 3.10 0.002 5.032279 22.43709 + 701 | 22.40906 5.680776 3.94 0.000 11.26846 33.54966 + 703 | 10.73324 4.024537 2.67 0.008 2.840698 18.62577 + 704 | 15.66364 5.207196 3.01 0.003 5.451789 25.8755 + 705 | 6.792114 4.162931 1.63 0.103 -1.371829 14.95606 + 707 | 8.914173 6.915396 1.29 0.198 -4.647643 22.47599 + 708 | 26.13159 9.558004 2.73 0.006 7.387349 44.87584 + 709 | 12.65807 3.504517 3.61 0.000 5.785341 19.53079 + 710 | 12.46058 4.896463 2.54 0.011 2.858105 22.06306 + 711 | 19.98196 5.050304 3.96 0.000 10.07779 29.88614 + 798 | 15.00801 7.506628 2.00 0.046 .2867227 29.72929 + 799 | 26.07664 4.710654 5.54 0.000 16.83856 35.31473 + 800 | 7.600586 4.686117 1.62 0.105 -1.589381 16.79055 + 801 | 10.61303 4.597357 2.31 0.021 1.597127 19.62892 + 802 | 13.86293 4.359658 3.18 0.001 5.313183 22.41267 + 803 | 8.422817 3.825036 2.20 0.028 .9215215 15.92411 + 805 | 1.024591 3.867902 0.26 0.791 -6.560769 8.609951 + 806 | 17.15798 4.277126 4.01 0.000 8.770087 25.54587 + 807 | 24.45978 4.976588 4.91 0.000 14.70017 34.21939 + 898 | 4.061435 9.198702 0.44 0.659 -13.97818 22.10105 + 899 | .3372971 7.628942 0.04 0.965 -14.62386 15.29845 + 1000 | 13.52085 4.448662 3.04 0.002 4.796559 22.24514 + 1001 | 30.1838 4.592233 6.57 0.000 21.17795 39.18965 + 1002 | 16.18896 4.585273 3.53 0.000 7.196762 25.18116 + 1003 | 15.11426 3.521882 4.29 0.000 8.207482 22.02104 + 1005 | 13.07612 5.546159 2.36 0.018 2.199525 23.95272 + 1006 | 29.03433 5.288713 5.49 0.000 18.66261 39.40604 + 1007 | 12.80172 3.946568 3.24 0.001 5.062086 20.54135 + 1010 | 15.37805 7.681207 2.00 0.045 .3143969 30.4417 + 1098 | 14.55163 10.62397 1.37 0.171 -6.283088 35.38635 + 1099 | 16.07842 14.58248 1.10 0.270 -12.51935 44.67619 + 1400 | 13.64374 4.275928 3.19 0.001 5.258198 22.02928 + 1401 | 20.953 4.819148 4.35 0.000 11.50215 30.40385 + 1403 | 31.64405 5.644209 5.61 0.000 20.57516 42.71293 + 1404 | 9.847475 5.93464 1.66 0.097 -1.790976 21.48593 + 1405 | 24.12841 8.060514 2.99 0.003 8.320897 39.93592 + 1406 | 14.78369 5.413076 2.73 0.006 4.168083 25.3993 + 1407 | 25.25523 8.372036 3.02 0.003 8.836788 41.67367 + 1408 | 26.17127 10.75982 2.43 0.015 5.070139 47.27241 + 1409 | 38.63745 9.012399 4.29 0.000 20.96319 56.3117 + 1410 | 26.05422 5.277337 4.94 0.000 15.70481 36.40363 + 1499 | 13.27013 6.920254 1.92 0.055 -.3012091 26.84147 + 1500 | 13.92673 5.378226 2.59 0.010 3.379463 24.47399 + 1501 | 20.63736 4.133999 4.99 0.000 12.53016 28.74457 + 1502 | 13.45401 4.322993 3.11 0.002 4.976165 21.93185 + 1504 | 12.75726 4.204383 3.03 0.002 4.512024 21.0025 + 1505 | 28.51473 4.324941 6.59 0.000 20.03307 36.99639 + 1507 | 20.70724 5.884906 3.52 0.000 9.166328 32.24816 + 1520 | 7.968916 4.718308 1.69 0.091 -1.284181 17.22201 + 1521 | 18.41491 4.743151 3.88 0.000 9.113092 27.71672 + 1522 | 29.95097 4.396378 6.81 0.000 21.32921 38.57273 + 1523 | 18.9481 4.813676 3.94 0.000 9.50798 28.38823 + 1524 | 25.02232 7.546805 3.32 0.001 10.22224 39.82239 + 1525 | 22.96726 5.183617 4.43 0.000 12.80164 33.13287 + 1526 | 24.86161 4.319589 5.76 0.000 16.39044 33.33277 + 1599 | 22.59767 5.24132 4.31 0.000 12.31889 32.87645 + 1600 | 15.4459 5.51108 2.80 0.005 4.638094 26.2537 + 1602 | 3.372978 6.920544 0.49 0.626 -10.19893 16.94489 + 1603 | 9.163989 4.800983 1.91 0.056 -.2512415 18.57922 + 1604 | 22.68314 6.309486 3.60 0.000 10.30957 35.0567 + 1605 | 20.01897 8.56727 2.34 0.020 3.217657 36.82028 + 1606 | 10.88412 10.17873 1.07 0.285 -9.077426 30.84566 + 1608 | 15.71299 3.863753 4.07 0.000 8.135763 23.29021 + 1609 | 16.18499 5.009619 3.23 0.001 6.360602 26.00937 + 1610 | 18.86802 5.690764 3.32 0.001 7.707838 30.0282 + 1611 | 11.07996 5.481358 2.02 0.043 .3304411 21.82947 + 1612 | 22.03847 5.002416 4.41 0.000 12.22821 31.84873 + 1614 | -2.478916 4.875699 -0.51 0.611 -12.04067 7.08284 + 1615 | 11.66064 4.260423 2.74 0.006 3.305509 20.01578 + 1616 | 4.949312 4.162745 1.19 0.235 -3.214266 13.11289 + 1617 | 18.82358 5.52225 3.41 0.001 7.993869 29.65329 + 1619 | 2.652773 6.758232 0.39 0.695 -10.60083 15.90637 + 1620 | 34.2259 10.64981 3.21 0.001 13.34051 55.1113 + 1698 | 6.103663 6.323344 0.97 0.335 -6.297076 18.5044 + 1699 | 19.64789 5.035958 3.90 0.000 9.771846 29.52393 + 1700 | 25.42135 9.416437 2.70 0.007 6.954727 43.88796 + 1701 | 14.07715 4.930785 2.85 0.004 4.407365 23.74694 + 1704 | 13.572 8.156214 1.66 0.096 -2.423188 29.56719 + 1705 | 3.267548 12.33087 0.26 0.791 -20.91458 27.44968 + 1706 | 20.7134 4.649837 4.45 0.000 11.59458 29.83222 + 1707 | 20.25104 4.591915 4.41 0.000 11.24582 29.25627 + 1708 | 19.03091 6.229741 3.05 0.002 6.813738 31.24809 + 1709 | 29.3446 5.151284 5.70 0.000 19.2424 39.44681 + 1798 | 31.0627 6.004711 5.17 0.000 19.28684 42.83857 + 1799 | 10.20933 9.001128 1.13 0.257 -7.442827 27.86148 + 1800 | 14.91935 6.094036 2.45 0.014 2.968307 26.87039 + 1802 | 18.54948 4.848709 3.83 0.000 9.040657 28.05831 + 1803 | 24.66429 5.572432 4.43 0.000 13.73617 35.59242 + 1804 | 18.06677 4.928104 3.67 0.000 8.402238 27.73129 + 1806 | 6.483012 4.742014 1.37 0.172 -2.816574 15.7826 + 1807 | .6996979 3.472226 0.20 0.840 -6.1097 7.509096 + 1808 | 9.948326 4.944494 2.01 0.044 .2516564 19.64499 + 1899 | 1.586426 7.919829 0.20 0.841 -13.94519 17.11804 + 1900 | 15.79533 4.587307 3.44 0.001 6.79914 24.79152 + 1901 | 15.65865 4.828329 3.24 0.001 6.189787 25.12751 + 1902 | 28.20828 6.560709 4.30 0.000 15.34204 41.07452 + 1905 | 22.69407 10.96655 2.07 0.039 1.187527 44.20062 + 1906 | 13.65805 6.697374 2.04 0.042 .5238017 26.7923 + 1907 | 19.68097 8.104262 2.43 0.015 3.787664 35.57428 + 1908 | 18.20971 9.139094 1.99 0.046 .2869893 36.13243 + 1909 | 50.30637 7.91037 6.36 0.000 34.79331 65.81943 + 1910 | 46.51437 11.77715 3.95 0.000 23.41814 69.6106 + 1911 | 25.47486 10.17772 2.50 0.012 5.51529 45.43444 + 1912 | -6.417064 4.361332 -1.47 0.141 -14.97009 2.135964 + 1914 | 8.866326 6.580918 1.35 0.178 -4.039544 21.7722 + 1915 | 12.54282 11.98951 1.05 0.296 -10.96986 36.05549 + 1919 | 20.88393 4.859957 4.30 0.000 11.35304 30.41481 + 1920 | 17.62573 5.138222 3.43 0.001 7.549143 27.70232 + 1925 | 31.18094 5.50278 5.67 0.000 20.38942 41.97247 + 1926 | 6.529711 4.366827 1.50 0.135 -2.034094 15.09352 + 1927 | 12.05509 4.196666 2.87 0.004 3.824986 20.28519 + 1929 | 14.46647 4.929986 2.93 0.003 4.798256 24.13469 + 1999 | 18.16928 12.96154 1.40 0.161 -7.249653 43.58822 + 2000 | 8.241821 3.7193 2.22 0.027 .9478845 15.53576 + 2001 | 10.33338 5.571279 1.85 0.064 -.5924761 21.25925 + 2002 | 8.228158 3.811584 2.16 0.031 .7532431 15.70307 + 2003 | 28.60533 4.708488 6.08 0.000 19.37149 37.83917 + 2004 | 17.68023 4.494687 3.93 0.000 8.865678 26.49478 + 2005 | -1.716626 4.969947 -0.35 0.730 -11.46321 8.02996 + 2006 | 37.07067 4.002301 9.26 0.000 29.22174 44.9196 + 2007 | 13.45339 5.888168 2.28 0.022 1.906077 25.0007 + 2008 | 25.11903 3.545293 7.09 0.000 18.16634 32.07172 + 2009 | 8.89689 7.123507 1.25 0.212 -5.073052 22.86683 + 2011 | 7.673014 3.301326 2.32 0.020 1.198769 14.14726 + 2012 | 10.18003 3.833012 2.66 0.008 2.663089 17.69696 + 2013 | 7.226025 6.29642 1.15 0.251 -5.121914 19.57396 + 2014 | 8.039347 4.768285 1.69 0.092 -1.311758 17.39045 + 2015 | 23.10912 6.46772 3.57 0.000 10.42525 35.793 + 2030 | 16.35858 6.917193 2.36 0.018 2.793245 29.92392 + 2099 | 17.15764 5.160399 3.32 0.001 7.037559 27.27772 + 2100 | 5.385195 3.950845 1.36 0.173 -2.362825 13.13322 + 2101 | 19.47361 3.840025 5.07 0.000 11.94292 27.0043 + 2102 | 18.1095 3.853891 4.70 0.000 10.55162 25.66738 + 2103 | 8.928567 3.48637 2.56 0.011 2.091431 15.7657 + 2104 | 12.96852 4.140476 3.13 0.002 4.84861 21.08842 + 2105 | 16.0361 6.826412 2.35 0.019 2.648797 29.42341 + 2199 | 8.927814 8.759216 1.02 0.308 -8.249925 26.10555 + 9999 | 8.077994 3.986076 2.03 0.043 .2608808 15.89511 + | + house_administration | -6.75198 1.811854 -3.73 0.000 -10.30522 -3.198744 + house_agriculture | 1.846364 1.824178 1.01 0.312 -1.73104 5.423768 + house_appropriations | -8.517134 1.633938 -5.21 0.000 -11.72146 -5.312811 + house_armedservices | 1.493938 1.924772 0.78 0.438 -2.280742 5.268618 + house_budget | 4.543 2.394609 1.90 0.058 -.1530789 9.23908 + house_dc | 14.90722 12.13146 1.23 0.219 -8.883848 38.69828 + house_educlabor | -.8323453 2.226624 -0.37 0.709 -5.198987 3.534297 + house_energycommerce | 2.540406 1.284586 1.98 0.048 .0211972 5.059614 + house_foreignaffairs | 1.632764 3.029517 0.54 0.590 -4.308436 7.573964 + house_governmentop | 3.701073 2.422069 1.53 0.127 -1.048857 8.451004 + house_intelligence | -2.395953 4.02302 -0.60 0.552 -10.28552 5.49361 + house_interior | -2.224794 3.044688 -0.73 0.465 -8.195747 3.746158 + house_judiciary | -3.214961 1.086076 -2.96 0.003 -5.344869 -1.085052 + house_mmf | 4.978933 3.550962 1.40 0.161 -1.984875 11.94274 + house_pocs | 6.508342 4.998887 1.30 0.193 -3.294999 16.31168 + house_pwt | .6633192 2.893137 0.23 0.819 -5.010426 6.337064 + house_rules | -3.987258 1.515307 -2.63 0.009 -6.958933 -1.015583 + house_sst | 12.78174 6.240856 2.05 0.041 .5427731 25.02071 + house_smallbusi | .0450679 4.679662 0.01 0.992 -9.132239 9.222375 + house_soc | -4.275604 6.679641 -0.64 0.522 -17.37508 8.823872 + house_veterans | 7.301067 2.738831 2.67 0.008 1.929932 12.6722 + house_waysandmeans | -.4418879 1.11983 -0.39 0.693 -2.637992 1.754216 +house_naturalresources | 3.681818 2.020509 1.82 0.069 -.2806124 7.644248 + house_bfs | -.2165117 1.340342 -0.16 0.872 -2.845063 2.412039 + house_eeo | -10.92314 4.461482 -2.45 0.014 -19.67258 -2.17371 + house_govreform | -.2632563 1.802565 -0.15 0.884 -3.798276 3.271763 + house_ir | 4.009149 1.994483 2.01 0.045 .0977596 7.920538 + house_natsecur | -2.922546 2.368598 -1.23 0.217 -7.567614 1.722522 + house_oversight | 2.194446 2.224368 0.99 0.324 -2.167771 6.556664 + house_resources | -5.448239 1.413324 -3.85 0.000 -8.219915 -2.676562 + house_science | 3.384296 2.344859 1.44 0.149 -1.214218 7.98281 + house_transp | 2.456018 1.406758 1.75 0.081 -.302781 5.214817 + house_homeland | .2831823 2.837707 0.10 0.921 -5.281859 5.848223 + _cons | 5.422866 3.727964 1.45 0.146 -1.888062 12.73379 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,495 1 0 1 1 + + +j = 5 k = 1 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11989 +----------------------+---------------------- NN matches = 3 + Number of obs | 6150 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 15.71586 27.17455 .5783301 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(7,341 missing values generated) +(54,749 missing values generated) +(47,408 real changes made) +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* [aw=wt] if tag_bill==1 & women_friend1==0, robust cluster(group_sponsor) +(sum of wgt is 70,499.8984441757) + +Linear regression Number of obs = 37,034 + F(197, 4266) = . + Prob > F = . + R-squared = 0.1208 + Root MSE = 19.694 + + (Std. Err. adjusted for 4,267 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -.8327187 .6112917 -1.36 0.173 -2.031168 .3657309 + | + v2 | + 102 | -3.872771 1.118268 -3.46 0.001 -6.065158 -1.680384 + 103 | -4.157737 1.089913 -3.81 0.000 -6.294534 -2.02094 + 104 | -2.941873 1.797614 -1.64 0.102 -6.466131 .582385 + 105 | -2.912438 1.463416 -1.99 0.047 -5.781495 -.0433805 + 106 | -1.086304 1.474708 -0.74 0.461 -3.977499 1.804892 + 107 | -1.136396 1.374542 -0.83 0.408 -3.831212 1.558421 + 108 | -1.257843 1.466083 -0.86 0.391 -4.132128 1.616443 + 109 | -2.102116 1.269153 -1.66 0.098 -4.590315 .3860834 + 110 | -4.265154 1.168633 -3.65 0.000 -6.556284 -1.974024 + 111 | -6.500422 1.27536 -5.10 0.000 -9.000791 -4.000053 + | + minor | + 101 | 16.56413 7.883881 2.10 0.036 1.107623 32.02064 + 103 | 1.627741 4.646166 0.35 0.726 -7.481161 10.73664 + 104 | 6.299502 4.837125 1.30 0.193 -3.183779 15.78278 + 105 | 7.240756 3.220123 2.25 0.025 .9276403 13.55387 + 107 | 8.176687 3.235771 2.53 0.012 1.832892 14.52048 + 108 | 12.24743 4.745911 2.58 0.010 2.94298 21.55189 + 110 | .9345654 3.619064 0.26 0.796 -6.160683 8.029814 + 400 | 6.478846 3.804074 1.70 0.089 -.9791185 13.93681 + 401 | 10.77661 6.719899 1.60 0.109 -2.397884 23.95111 + 402 | 14.20681 4.121468 3.45 0.001 6.126585 22.28703 + 403 | 7.830631 4.901083 1.60 0.110 -1.778042 17.4393 + 404 | 17.55179 4.960093 3.54 0.000 7.827429 27.27615 + 405 | 14.47189 5.459181 2.65 0.008 3.769053 25.17472 + 498 | 9.749552 4.137449 2.36 0.018 1.638 17.86111 + 499 | 7.135446 4.740846 1.51 0.132 -2.15908 16.42997 + 700 | 7.549992 3.56004 2.12 0.034 .5704625 14.52952 + 701 | 13.70672 4.042389 3.39 0.001 5.781531 21.6319 + 703 | 11.49089 3.776042 3.04 0.002 4.087888 18.8939 + 704 | 11.8224 6.186709 1.91 0.056 -.3067684 23.95157 + 705 | 8.507874 3.99085 2.13 0.033 .6837318 16.33202 + 707 | 6.077543 5.248164 1.16 0.247 -4.211589 16.36668 + 708 | 1.597735 3.93838 0.41 0.685 -6.123539 9.319009 + 709 | 9.836543 2.931159 3.36 0.001 4.089946 15.58314 + 710 | 16.11256 3.10119 5.20 0.000 10.03262 22.19251 + 711 | 13.45568 3.544824 3.80 0.000 6.505978 20.40538 + 798 | 15.83586 5.140407 3.08 0.002 5.757989 25.91373 + 799 | 20.34024 5.00839 4.06 0.000 10.52119 30.1593 + 800 | 7.134145 3.379978 2.11 0.035 .5076289 13.76066 + 801 | 10.64459 4.261315 2.50 0.013 2.290196 18.99899 + 802 | 11.64963 3.932796 2.96 0.003 3.939305 19.35996 + 803 | 7.612398 3.185524 2.39 0.017 1.367114 13.85768 + 805 | 3.549901 3.746496 0.95 0.343 -3.795179 10.89498 + 806 | 11.66452 3.662682 3.18 0.001 4.483755 18.84528 + 807 | 15.93502 4.126188 3.86 0.000 7.845545 24.0245 + 898 | 12.90966 6.202318 2.08 0.037 .7498852 25.06943 + 899 | 2.408692 5.020654 0.48 0.631 -7.434401 12.25179 + 1000 | 11.10526 3.672905 3.02 0.003 3.904453 18.30606 + 1001 | 15.93039 3.972263 4.01 0.000 8.142686 23.71809 + 1002 | 15.2405 3.871363 3.94 0.000 7.650609 22.83038 + 1003 | 12.0079 3.751425 3.20 0.001 4.653152 19.36264 + 1005 | 28.48888 7.896523 3.61 0.000 13.00759 43.97017 + 1006 | 22.63411 4.897903 4.62 0.000 13.03167 32.23655 + 1007 | 10.1132 3.161616 3.20 0.001 3.914791 16.31162 + 1010 | 3.080242 3.365488 0.92 0.360 -3.517865 9.678349 + 1098 | 8.290276 5.034951 1.65 0.100 -1.580847 18.1614 + 1099 | 20.62591 13.74576 1.50 0.134 -6.322927 47.57475 + 1400 | 9.91826 3.673884 2.70 0.007 2.715537 17.12098 + 1401 | 10.31586 3.590194 2.87 0.004 3.277212 17.35451 + 1403 | 15.3016 4.265387 3.59 0.000 6.939225 23.66398 + 1404 | 6.234483 4.416834 1.41 0.158 -2.424811 14.89378 + 1405 | 21.19813 5.386432 3.94 0.000 10.63792 31.75834 + 1406 | 7.389286 3.900941 1.89 0.058 -.2585881 15.03716 + 1407 | 15.79921 4.787229 3.30 0.001 6.41375 25.18467 + 1408 | 10.21956 6.877423 1.49 0.137 -3.263769 23.70288 + 1409 | 17.62478 6.127584 2.88 0.004 5.611523 29.63803 + 1410 | 15.22991 4.652896 3.27 0.001 6.107817 24.35201 + 1499 | 8.429339 5.131882 1.64 0.101 -1.631821 18.4905 + 1500 | 6.752203 4.364456 1.55 0.122 -1.804401 15.30881 + 1501 | 14.11532 3.615089 3.90 0.000 7.02787 21.20278 + 1502 | 9.746173 3.402502 2.86 0.004 3.0755 16.41685 + 1504 | 7.898787 3.472915 2.27 0.023 1.090067 14.70751 + 1505 | 18.06143 4.172557 4.33 0.000 9.881046 26.24181 + 1507 | 7.660674 5.317717 1.44 0.150 -2.764818 18.08617 + 1520 | 8.395009 3.474222 2.42 0.016 1.583725 15.20629 + 1521 | 13.36296 3.594193 3.72 0.000 6.316468 20.40945 + 1522 | 23.20171 3.74544 6.19 0.000 15.8587 30.54472 + 1523 | 8.228284 3.66852 2.24 0.025 1.036077 15.42049 + 1524 | 16.64666 5.80187 2.87 0.004 5.271976 28.02134 + 1525 | 8.85168 3.736068 2.37 0.018 1.527043 16.17632 + 1526 | 15.51967 3.780501 4.11 0.000 8.10792 22.93142 + 1599 | 15.84597 5.257204 3.01 0.003 5.539114 26.15282 + 1600 | 6.761244 3.451211 1.96 0.050 -.0049253 13.52741 + 1602 | 5.766519 3.999533 1.44 0.149 -2.074646 13.60768 + 1603 | 2.784433 4.221562 0.66 0.510 -5.492025 11.06089 + 1604 | 8.725163 5.284562 1.65 0.099 -1.635327 19.08565 + 1605 | 11.98985 5.540979 2.16 0.031 1.126652 22.85306 + 1606 | 12.79125 3.807193 3.36 0.001 5.327176 20.25533 + 1608 | 8.390153 3.834724 2.19 0.029 .8721003 15.90821 + 1609 | 13.04807 3.184808 4.10 0.000 6.804189 19.29195 + 1610 | 7.802374 3.695556 2.11 0.035 .5571616 15.04759 + 1611 | 26.84336 8.573175 3.13 0.002 10.03547 43.65124 + 1612 | 12.94814 3.552171 3.65 0.000 5.984039 19.91225 + 1614 | 7.300451 4.155296 1.76 0.079 -.8460922 15.44699 + 1615 | 15.10835 6.045658 2.50 0.012 3.255718 26.96099 + 1616 | 3.051274 2.871721 1.06 0.288 -2.578794 8.681342 + 1617 | 3.286685 3.919619 0.84 0.402 -4.397808 10.97118 + 1619 | 2.062276 3.393761 0.61 0.543 -4.59126 8.715813 + 1620 | 18.50538 6.225844 2.97 0.003 6.29949 30.71128 + 1698 | 14.84436 4.742754 3.13 0.002 5.546091 24.14262 + 1699 | 18.06157 3.583755 5.04 0.000 11.03554 25.08759 + 1700 | 15.07073 4.716598 3.20 0.001 5.823746 24.31772 + 1701 | 13.83021 3.770989 3.67 0.000 6.437113 21.22331 + 1704 | 23.0698 5.939024 3.88 0.000 11.42622 34.71338 + 1705 | 7.763177 6.020371 1.29 0.197 -4.039883 19.56624 + 1706 | 16.78954 4.269651 3.93 0.000 8.418803 25.16028 + 1707 | 10.14041 5.107865 1.99 0.047 .126335 20.15448 + 1708 | 16.9717 3.810821 4.45 0.000 9.500507 24.44289 + 1709 | 26.34125 4.839063 5.44 0.000 16.85416 35.82833 + 1798 | 19.79983 4.600046 4.30 0.000 10.78135 28.81832 + 1799 | 8.828326 6.196272 1.42 0.154 -3.31959 20.97624 + 1800 | 21.79986 8.628441 2.53 0.012 4.88363 38.7161 + 1802 | 11.49313 3.503481 3.28 0.001 4.624481 18.36177 + 1803 | 17.19531 4.042669 4.25 0.000 9.269571 25.12104 + 1804 | 11.51761 3.65047 3.16 0.002 4.360789 18.67443 + 1806 | 11.80691 5.080339 2.32 0.020 1.8468 21.76702 + 1807 | -.630435 3.142466 -0.20 0.841 -6.791303 5.530433 + 1808 | 8.632201 5.393371 1.60 0.110 -1.941612 19.20601 + 1899 | -1.737011 3.812006 -0.46 0.649 -9.210526 5.736505 + 1900 | 12.59894 3.403588 3.70 0.000 5.926138 19.27174 + 1901 | 9.793376 3.063878 3.20 0.001 3.786581 15.80017 + 1902 | 19.2273 4.309864 4.46 0.000 10.77772 27.67687 + 1905 | 4.623407 5.255707 0.88 0.379 -5.680513 14.92733 + 1906 | 12.17244 4.258375 2.86 0.004 3.823813 20.52107 + 1907 | 14.60082 7.066824 2.07 0.039 .7461701 28.45547 + 1908 | 15.15995 4.8945 3.10 0.002 5.564181 24.75571 + 1909 | 30.5379 6.75501 4.52 0.000 17.29457 43.78124 + 1910 | 32.17895 11.72305 2.74 0.006 9.19568 55.16222 + 1911 | 11.19063 4.175525 2.68 0.007 3.004432 19.37683 + 1912 | -4.616591 2.339622 -1.97 0.049 -9.203468 -.0297152 + 1914 | 6.835161 3.373487 2.03 0.043 .2213718 13.44895 + 1915 | 22.41447 7.167159 3.13 0.002 8.363109 36.46583 + 1919 | 17.5574 3.617606 4.85 0.000 10.46501 24.64979 + 1920 | 14.69969 3.26518 4.50 0.000 8.298244 21.10115 + 1925 | 28.99668 11.91163 2.43 0.015 5.643682 52.34968 + 1926 | 16.85575 9.77613 1.72 0.085 -2.310553 36.02205 + 1927 | 3.659234 3.202039 1.14 0.253 -2.618427 9.936896 + 1929 | 8.793026 4.550635 1.93 0.053 -.1285857 17.71464 + 1999 | 23.00295 9.056375 2.54 0.011 5.247747 40.75816 + 2000 | 4.468271 3.70002 1.21 0.227 -2.785693 11.72223 + 2001 | 8.787779 5.179508 1.70 0.090 -1.36675 18.94231 + 2002 | 9.199274 3.22126 2.86 0.004 2.883929 15.51462 + 2003 | 22.86503 5.269642 4.34 0.000 12.53379 33.19627 + 2004 | 9.547671 3.595466 2.66 0.008 2.498687 16.59666 + 2005 | 8.708677 5.513061 1.58 0.114 -2.09979 19.51714 + 2006 | 30.00175 3.611034 8.31 0.000 22.92224 37.08126 + 2007 | 4.469806 3.734866 1.20 0.231 -2.852474 11.79209 + 2008 | 25.63335 2.85467 8.98 0.000 20.03671 31.22998 + 2009 | 12.82284 5.281167 2.43 0.015 2.469008 23.17668 + 2010 | -1.641144 3.328217 -0.49 0.622 -8.166181 4.883894 + 2011 | 7.549275 3.182188 2.37 0.018 1.310532 13.78802 + 2012 | 4.763635 3.019262 1.58 0.115 -1.155689 10.68296 + 2013 | 13.38546 6.521852 2.05 0.040 .5992344 26.17168 + 2014 | 10.45074 3.627202 2.88 0.004 3.33954 17.56194 + 2015 | 12.80823 4.123966 3.11 0.002 4.723114 20.89335 + 2030 | 12.69476 5.485643 2.31 0.021 1.940047 23.44948 + 2099 | 13.1874 3.99032 3.30 0.001 5.364293 21.0105 + 2100 | 2.806333 3.187822 0.88 0.379 -3.443456 9.056121 + 2101 | 12.74967 3.036788 4.20 0.000 6.795985 18.70335 + 2102 | 16.24726 3.05877 5.31 0.000 10.25048 22.24404 + 2103 | 9.429058 2.87347 3.28 0.001 3.795562 15.06255 + 2104 | 10.08474 2.9829 3.38 0.001 4.236701 15.93277 + 2105 | 8.786015 4.540366 1.94 0.053 -.115464 17.68749 + 2199 | .3845844 5.606449 0.07 0.945 -10.60697 11.37614 + 9999 | 8.872411 3.54701 2.50 0.012 1.918425 15.8264 + | + house_administration | -2.458686 1.181777 -2.08 0.038 -4.775584 -.1417871 + house_agriculture | 2.353688 1.4801 1.59 0.112 -.5480774 5.255454 + house_appropriations | -6.858842 1.17883 -5.82 0.000 -9.169961 -4.547722 + house_armedservices | .3113632 1.474963 0.21 0.833 -2.580331 3.203058 + house_budget | -1.160401 1.5776 -0.74 0.462 -4.253318 1.932517 + house_dc | -4.773195 4.436177 -1.08 0.282 -13.47041 3.92402 + house_educlabor | -1.369921 1.510957 -0.91 0.365 -4.332183 1.592341 + house_energycommerce | -1.051654 1.012906 -1.04 0.299 -3.037476 .9341686 + house_foreignaffairs | .4495669 2.967483 0.15 0.880 -5.368244 6.267378 + house_governmentop | 1.456046 1.819322 0.80 0.424 -2.110772 5.022863 + house_intelligence | -1.371383 2.657523 -0.52 0.606 -6.581511 3.838744 + house_interior | 2.366285 2.723126 0.87 0.385 -2.972459 7.705029 + house_judiciary | -.3997089 .7345366 -0.54 0.586 -1.839783 1.040365 + house_mmf | 1.673823 2.96538 0.56 0.572 -4.139865 7.487512 + house_pocs | .8207376 1.71386 0.48 0.632 -2.539319 4.180794 + house_pwt | .6938128 1.62235 0.43 0.669 -2.486838 3.874464 + house_rules | -1.035811 1.445224 -0.72 0.474 -3.869202 1.79758 + house_sst | 3.690112 2.487826 1.48 0.138 -1.187321 8.567545 + house_smallbusi | -4.928283 1.884598 -2.62 0.009 -8.623076 -1.23349 + house_soc | .6928404 3.602716 0.19 0.848 -6.370356 7.756037 + house_veterans | 2.655074 1.462533 1.82 0.070 -.2122516 5.5224 + house_waysandmeans | .5437551 .7611664 0.71 0.475 -.948527 2.036037 +house_naturalresources | .8342441 2.370125 0.35 0.725 -3.812434 5.480922 + house_bfs | -1.202861 .7793882 -1.54 0.123 -2.730867 .3251451 + house_eeo | -7.778187 2.25469 -3.45 0.001 -12.19855 -3.357821 + house_govreform | 1.285287 1.238173 1.04 0.299 -1.142175 3.71275 + house_ir | 1.096126 1.493109 0.73 0.463 -1.831145 4.023396 + house_natsecur | -3.163116 1.811523 -1.75 0.081 -6.714644 .3884125 + house_oversight | .450815 1.23853 0.36 0.716 -1.977347 2.878977 + house_resources | -1.966549 1.46538 -1.34 0.180 -4.839456 .9063584 + house_science | .6405872 1.3488 0.47 0.635 -2.003762 3.284937 + house_transp | -.7482868 1.076435 -0.70 0.487 -2.858659 1.362085 + house_homeland | -2.667533 1.999869 -1.33 0.182 -6.588317 1.253251 + _cons | 7.138725 3.370933 2.12 0.034 .5299423 13.74751 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,985 1 0 1 1 + + +j = 5 k = 2 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6186 +----------------------+---------------------- NN matches = 3 + Number of obs | 2192 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 24.47749 44.63704 .5483673 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(7,341 missing values generated) +(54,749 missing values generated) +(47,408 real changes made) +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==100 & tag_bill==1 & women_friend1==0, robust cluster(group_sponsor) +(sum of wgt is 36,601.4946026802) + +Linear regression Number of obs = 19,086 + F(197, 2212) = . + Prob > F = . + R-squared = 0.1212 + Root MSE = 17.476 + + (Std. Err. adjusted for 2,213 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -1.523163 .6376685 -2.39 0.017 -2.773655 -.2726716 + | + v2 | + 102 | -2.701609 1.126993 -2.40 0.017 -4.911684 -.4915327 + 103 | -2.559301 1.122637 -2.28 0.023 -4.760835 -.357768 + 104 | -4.344666 1.332133 -3.26 0.001 -6.957027 -1.732304 + 105 | -3.567551 1.432863 -2.49 0.013 -6.377449 -.7576531 + 106 | -3.423149 1.416033 -2.42 0.016 -6.200041 -.6462562 + 107 | -2.852407 1.45507 -1.96 0.050 -5.705854 .0010396 + 108 | -4.130063 1.3119 -3.15 0.002 -6.702748 -1.557378 + 109 | -5.341796 1.258398 -4.24 0.000 -7.809561 -2.87403 + 110 | -1.602268 1.208017 -1.33 0.185 -3.971234 .7666983 + 111 | -4.008516 1.201456 -3.34 0.001 -6.364617 -1.652416 + | + minor | + 101 | -3.478586 5.014717 -0.69 0.488 -13.31263 6.355459 + 103 | -6.560103 2.928625 -2.24 0.025 -12.30324 -.8169617 + 104 | -3.939899 4.165426 -0.95 0.344 -12.10845 4.228656 + 105 | .9752207 3.954026 0.25 0.805 -6.77877 8.729211 + 107 | .4369242 3.062232 0.14 0.887 -5.568226 6.442074 + 108 | 1.340993 4.122904 0.33 0.745 -6.744174 9.426161 + 110 | -8.975283 3.08644 -2.91 0.004 -15.02791 -2.92266 + 400 | -.15269 3.547053 -0.04 0.966 -7.108592 6.803212 + 401 | 5.33868 5.166847 1.03 0.302 -4.793697 15.47106 + 402 | 8.816363 4.621791 1.91 0.057 -.2471392 17.87987 + 403 | .1666198 4.243562 0.04 0.969 -8.155163 8.488402 + 404 | 8.162827 5.933947 1.38 0.169 -3.473863 19.79952 + 405 | 5.16069 5.415649 0.95 0.341 -5.459599 15.78098 + 498 | 2.032474 4.331523 0.47 0.639 -6.461803 10.52675 + 499 | -.5259216 5.791413 -0.09 0.928 -11.8831 10.83125 + 700 | -1.073098 4.190303 -0.26 0.798 -9.290438 7.144242 + 701 | 1.051764 4.144413 0.25 0.800 -7.075584 9.179112 + 703 | 1.377491 3.316257 0.42 0.678 -5.125812 7.880794 + 704 | -1.837158 3.13144 -0.59 0.557 -7.978028 4.303712 + 705 | -1.009643 3.553318 -0.28 0.776 -7.977831 5.958546 + 707 | 5.429563 4.77263 1.14 0.255 -3.929742 14.78887 + 708 | -7.711047 3.071883 -2.51 0.012 -13.73512 -1.686971 + 709 | 3.218708 3.401891 0.95 0.344 -3.452527 9.889943 + 710 | 5.635097 3.879147 1.45 0.146 -1.972053 13.24225 + 711 | 1.035656 3.367593 0.31 0.758 -5.568318 7.63963 + 798 | -4.33849 4.007222 -1.08 0.279 -12.1968 3.51982 + 799 | -3.045407 4.456668 -0.68 0.494 -11.7851 5.694285 + 800 | -2.94734 3.215075 -0.92 0.359 -9.252221 3.357542 + 801 | 6.698603 4.798586 1.40 0.163 -2.711602 16.10881 + 802 | 4.830557 4.782295 1.01 0.313 -4.547702 14.20882 + 803 | -.0176673 3.442743 -0.01 0.996 -6.769014 6.733679 + 805 | 2.58204 4.685215 0.55 0.582 -6.60584 11.76992 + 806 | .8008289 3.295463 0.24 0.808 -5.661695 7.263353 + 807 | 4.274584 3.738508 1.14 0.253 -3.056768 11.60594 + 898 | 4.135473 11.78631 0.35 0.726 -18.97793 27.24887 + 899 | -8.02961 3.355956 -2.39 0.017 -14.61077 -1.448455 + 1000 | 1.542708 3.819531 0.40 0.686 -5.947534 9.03295 + 1001 | -3.649325 3.601686 -1.01 0.311 -10.71236 3.413715 + 1002 | 5.424948 4.708056 1.15 0.249 -3.807723 14.65762 + 1003 | 2.888363 3.222655 0.90 0.370 -3.431383 9.208109 + 1005 | 22.32086 9.007788 2.48 0.013 4.656258 39.98547 + 1006 | 3.48453 3.473243 1.00 0.316 -3.326628 10.29569 + 1007 | 3.964277 3.364107 1.18 0.239 -2.632862 10.56142 + 1010 | -5.712184 3.098403 -1.84 0.065 -11.78827 .3638987 + 1098 | -4.935012 4.866796 -1.01 0.311 -14.47898 4.608954 + 1099 | 10.94458 13.37404 0.82 0.413 -15.28241 37.17156 + 1400 | -.0961245 3.176241 -0.03 0.976 -6.32485 6.132601 + 1401 | -.1460163 3.291469 -0.04 0.965 -6.600708 6.308675 + 1403 | -.618874 3.662084 -0.17 0.866 -7.800357 6.562609 + 1404 | -3.12138 4.34194 -0.72 0.472 -11.63609 5.393326 + 1405 | 7.677846 4.872523 1.58 0.115 -1.877352 17.23304 + 1406 | -2.87737 3.984017 -0.72 0.470 -10.69018 4.935435 + 1407 | 3.868729 4.173709 0.93 0.354 -4.316069 12.05353 + 1408 | -6.855385 3.185018 -2.15 0.031 -13.10132 -.6094472 + 1409 | -1.543321 3.994053 -0.39 0.699 -9.375807 6.289164 + 1410 | 1.43237 3.584471 0.40 0.689 -5.59691 8.461649 + 1499 | -.7251743 6.227869 -0.12 0.907 -12.93826 11.48791 + 1500 | -2.098417 3.826314 -0.55 0.583 -9.601959 5.405126 + 1501 | .6386361 3.131196 0.20 0.838 -5.501755 6.779027 + 1502 | 2.96786 3.208293 0.93 0.355 -3.323722 9.259442 + 1504 | .9999993 3.572107 0.28 0.780 -6.005035 8.005034 + 1505 | 3.657354 4.059482 0.90 0.368 -4.303442 11.61815 + 1507 | .0970129 6.772387 0.01 0.989 -13.18389 13.37792 + 1520 | -1.342791 3.355681 -0.40 0.689 -7.923406 5.237823 + 1521 | .5615444 3.275414 0.17 0.864 -5.861663 6.984752 + 1522 | 12.44853 3.826058 3.25 0.001 4.945488 19.95157 + 1523 | -2.252968 3.36347 -0.67 0.503 -8.848856 4.342921 + 1524 | 10.96847 6.272451 1.75 0.080 -1.332039 23.26898 + 1525 | -.5841634 3.107604 -0.19 0.851 -6.67829 5.509963 + 1526 | 1.690179 3.617169 0.47 0.640 -5.403224 8.783582 + 1599 | 4.12765 5.66347 0.73 0.466 -6.978624 15.23393 + 1600 | .540463 4.953045 0.11 0.913 -9.172642 10.25357 + 1602 | .0408709 4.249544 0.01 0.992 -8.292641 8.374383 + 1603 | -10.74672 4.928159 -2.18 0.029 -20.41102 -1.08242 + 1604 | .1392724 5.259874 0.03 0.979 -10.17554 10.45408 + 1605 | -1.510627 3.547216 -0.43 0.670 -8.466849 5.445595 + 1606 | 2.673438 4.337967 0.62 0.538 -5.833476 11.18035 + 1608 | 1.107534 3.366388 0.33 0.742 -5.494077 7.709145 + 1609 | 2.880986 3.357301 0.86 0.391 -3.702806 9.464778 + 1610 | -1.260922 3.502899 -0.36 0.719 -8.130237 5.608392 + 1611 | 21.04287 8.456163 2.49 0.013 4.460027 37.62572 + 1612 | -.3043849 3.368151 -0.09 0.928 -6.909453 6.300683 + 1614 | 2.290921 4.220828 0.54 0.587 -5.986278 10.56812 + 1615 | 7.01797 6.477802 1.08 0.279 -5.685241 19.72118 + 1616 | 1.588332 3.24242 0.49 0.624 -4.770174 7.946837 + 1617 | -5.476516 3.695951 -1.48 0.139 -12.72441 1.77138 + 1619 | -4.60197 3.373171 -1.36 0.173 -11.21688 2.012943 + 1620 | 11.26139 7.943939 1.42 0.156 -4.316967 26.83975 + 1698 | 5.875524 6.643236 0.88 0.377 -7.152108 18.90315 + 1699 | 7.71036 3.478582 2.22 0.027 .8887311 14.53199 + 1700 | 6.080164 4.739439 1.28 0.200 -3.214051 15.37438 + 1701 | 2.8474 4.436454 0.64 0.521 -5.852651 11.54745 + 1704 | 17.34355 11.10734 1.56 0.119 -4.438359 39.12547 + 1705 | -6.847513 7.285736 -0.94 0.347 -21.13511 7.440086 + 1706 | 2.693248 3.479171 0.77 0.439 -4.129536 9.516032 + 1707 | .9363012 3.548942 0.26 0.792 -6.023306 7.895909 + 1708 | 6.245759 4.266582 1.46 0.143 -2.121166 14.61268 + 1709 | 6.424139 3.845412 1.67 0.095 -1.116856 13.96513 + 1798 | 2.612587 4.450989 0.59 0.557 -6.115966 11.34114 + 1799 | -3.424549 7.713732 -0.44 0.657 -18.55146 11.70236 + 1800 | 5.395953 8.088367 0.67 0.505 -10.46563 21.25754 + 1802 | -.5189141 3.397517 -0.15 0.879 -7.181571 6.143743 + 1803 | 2.802465 4.278743 0.65 0.513 -5.588308 11.19324 + 1804 | -1.492634 3.92048 -0.38 0.703 -9.180841 6.195574 + 1806 | 13.2122 9.211033 1.43 0.152 -4.850977 31.27538 + 1807 | -7.645301 3.085319 -2.48 0.013 -13.69573 -1.594876 + 1808 | 9.520938 8.720121 1.09 0.275 -7.579541 26.62142 + 1899 | -13.00277 3.50742 -3.71 0.000 -19.88095 -6.124593 + 1900 | 1.05208 4.036039 0.26 0.794 -6.862743 8.966902 + 1901 | 3.142658 3.873661 0.81 0.417 -4.453734 10.73905 + 1902 | 7.790194 3.972707 1.96 0.050 -.000432 15.58082 + 1905 | -.684724 3.723434 -0.18 0.854 -7.986517 6.617069 + 1906 | 3.48527 3.607457 0.97 0.334 -3.589086 10.55963 + 1907 | 7.170616 5.772291 1.24 0.214 -4.149061 18.49029 + 1908 | 1.001256 4.768806 0.21 0.834 -8.350549 10.35306 + 1909 | 5.739365 5.641771 1.02 0.309 -5.324357 16.80309 + 1910 | -3.781983 3.799212 -1.00 0.320 -11.23238 3.668412 + 1911 | 1.499538 4.236043 0.35 0.723 -6.807498 9.806575 + 1912 | -15.61866 3.60813 -4.33 0.000 -22.69434 -8.542988 + 1914 | -5.868499 3.795834 -1.55 0.122 -13.31227 1.575273 + 1915 | 23.32421 5.830469 4.00 0.000 11.89044 34.75797 + 1919 | 8.012603 6.199065 1.29 0.196 -4.143993 20.1692 + 1920 | 4.92284 3.734208 1.32 0.188 -2.400079 12.24576 + 1925 | .1832714 3.16397 0.06 0.954 -6.021392 6.387934 + 1926 | 3.574863 4.13773 0.86 0.388 -4.539379 11.6891 + 1927 | -2.82038 4.145829 -0.68 0.496 -10.9505 5.309744 + 1929 | 5.865723 4.73265 1.24 0.215 -3.41518 15.14662 + 1999 | 18.05409 14.29824 1.26 0.207 -9.985291 46.09348 + 2000 | -2.844459 3.368909 -0.84 0.399 -9.451015 3.762097 + 2001 | -.9834173 3.327297 -0.30 0.768 -7.50837 5.541536 + 2002 | -.0739414 3.437365 -0.02 0.983 -6.814741 6.666858 + 2003 | .9632454 3.443385 0.28 0.780 -5.78936 7.715851 + 2004 | .5846554 3.245885 0.18 0.857 -5.780645 6.949956 + 2005 | 8.981028 6.637844 1.35 0.176 -4.036029 21.99809 + 2006 | 18.15594 3.583264 5.07 0.000 11.12903 25.18286 + 2007 | -4.820694 3.428546 -1.41 0.160 -11.5442 1.902812 + 2008 | 16.64062 3.358065 4.96 0.000 10.05533 23.22591 + 2009 | 7.26721 5.359146 1.36 0.175 -3.242273 17.77669 + 2010 | -12.44601 3.155058 -3.94 0.000 -18.63319 -6.258822 + 2011 | .1603874 3.726792 0.04 0.966 -7.14799 7.468765 + 2012 | -4.014863 3.121579 -1.29 0.199 -10.13639 2.106668 + 2013 | 4.131015 7.393216 0.56 0.576 -10.36736 18.62938 + 2014 | 4.294886 4.252667 1.01 0.313 -4.044752 12.63452 + 2015 | 2.832362 4.611505 0.61 0.539 -6.21097 11.87569 + 2030 | -1.266768 5.497439 -0.23 0.818 -12.04745 9.513914 + 2099 | 5.301487 4.66875 1.14 0.256 -3.854106 14.45708 + 2100 | -2.91966 3.620049 -0.81 0.420 -10.01871 4.179391 + 2101 | 2.740061 3.393566 0.81 0.420 -3.914848 9.394971 + 2102 | 2.233079 3.202029 0.70 0.486 -4.046219 8.512376 + 2103 | 2.526197 3.907902 0.65 0.518 -5.137344 10.18974 + 2104 | 2.108443 3.446387 0.61 0.541 -4.65005 8.866936 + 2105 | -4.163839 3.853543 -1.08 0.280 -11.72078 3.393102 + 2199 | -8.862097 3.32131 -2.67 0.008 -15.37531 -2.348886 + 9999 | 2.997608 3.747611 0.80 0.424 -4.351596 10.34681 + | + house_administration | .7347651 1.636118 0.45 0.653 -2.473723 3.943253 + house_agriculture | .8076889 1.477287 0.55 0.585 -2.089326 3.704704 + house_appropriations | -5.969058 2.284791 -2.61 0.009 -10.44962 -1.488498 + house_armedservices | -.9792808 1.553677 -0.63 0.529 -4.026098 2.067536 + house_budget | -6.521749 2.420212 -2.69 0.007 -11.26787 -1.775623 + house_dc | -8.905134 3.655648 -2.44 0.015 -16.07399 -1.736273 + house_educlabor | -2.870054 1.366171 -2.10 0.036 -5.549166 -.1909413 + house_energycommerce | -1.844496 .7127847 -2.59 0.010 -3.242293 -.4466991 + house_foreignaffairs | 1.954625 1.599378 1.22 0.222 -1.181813 5.091064 + house_governmentop | .0965953 1.702261 0.06 0.955 -3.241602 3.434793 + house_intelligence | 4.926514 3.876503 1.27 0.204 -2.675452 12.52848 + house_interior | .0562077 2.045877 0.03 0.978 -3.955833 4.068248 + house_judiciary | 1.503619 .8519834 1.76 0.078 -.1671518 3.17439 + house_mmf | .19674 2.700748 0.07 0.942 -5.099526 5.493006 + house_pocs | .5231522 2.312802 0.23 0.821 -4.012338 5.058642 + house_pwt | .9892614 1.853368 0.53 0.594 -2.645261 4.623784 + house_rules | 6.826869 3.86756 1.77 0.078 -.7575598 14.4113 + house_sst | 8.256521 3.55753 2.32 0.020 1.280073 15.23297 + house_smallbusi | -4.643904 1.866849 -2.49 0.013 -8.304864 -.9829437 + house_soc | -2.464757 4.119811 -0.60 0.550 -10.54386 5.614346 + house_veterans | 1.257856 1.671888 0.75 0.452 -2.020779 4.536491 + house_waysandmeans | 1.619075 .7479529 2.16 0.031 .1523121 3.085839 +house_naturalresources | -2.163449 1.414715 -1.53 0.126 -4.937758 .6108607 + house_bfs | -2.172935 1.002289 -2.17 0.030 -4.138461 -.2074092 + house_eeo | -2.473833 2.356912 -1.05 0.294 -7.095825 2.148158 + house_govreform | 3.724287 1.292787 2.88 0.004 1.189084 6.25949 + house_ir | .5331288 1.428037 0.37 0.709 -2.267304 3.333562 + house_natsecur | .3219899 2.204322 0.15 0.884 -4.000768 4.644748 + house_oversight | -2.946874 1.576491 -1.87 0.062 -6.038432 .1446833 + house_resources | 1.456042 1.679322 0.87 0.386 -1.837171 4.749254 + house_science | .7659645 1.403181 0.55 0.585 -1.985725 3.517654 + house_transp | -1.175379 1.168583 -1.01 0.315 -3.467012 1.116255 + house_homeland | -1.113685 2.126567 -0.52 0.601 -5.28396 3.056591 + _cons | 14.06782 3.06837 4.58 0.000 8.050633 20.08501 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,512 1 0 1 1 + + +j = 5 k = 3 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 11.12081 18.1168 .6138395 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(13,828 missing values generated) +(55,922 missing values generated) +(42,094 real changes made) +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==200 & tag_bill==1 & women_friend1==0, robust cluster(group_sponsor) +(sum of wgt is 24,740.125613451) + +Linear regression Number of obs = 16,838 + F(197, 1916) = 17.44 + Prob > F = 0.0000 + R-squared = 0.1670 + Root MSE = 21.326 + + (Std. Err. adjusted for 1,917 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 1.267198 .921122 1.38 0.169 -.539309 3.073705 + | + v2 | + 102 | -2.099476 1.66743 -1.26 0.208 -5.369645 1.170692 + 103 | -4.258384 1.757158 -2.42 0.015 -7.704526 -.8122411 + 104 | -4.37156 2.021228 -2.16 0.031 -8.335598 -.4075229 + 105 | -4.381652 1.803828 -2.43 0.015 -7.919325 -.8439791 + 106 | -1.271507 1.754694 -0.72 0.469 -4.712819 2.169805 + 107 | -.4081461 1.678167 -0.24 0.808 -3.699373 2.88308 + 108 | -.1038851 1.916864 -0.05 0.957 -3.863244 3.655473 + 109 | -1.227029 1.766382 -0.69 0.487 -4.691262 2.237204 + 110 | -7.841448 1.707828 -4.59 0.000 -11.19084 -4.492051 + 111 | -7.8661 1.879562 -4.19 0.000 -11.5523 -4.179898 + | + minor | + 101 | 15.92445 7.329854 2.17 0.030 1.549123 30.29978 + 103 | 17.01633 12.98359 1.31 0.190 -8.447118 42.47977 + 104 | 6.211853 5.678889 1.09 0.274 -4.9256 17.34931 + 105 | 6.424361 2.584592 2.49 0.013 1.355452 11.49327 + 107 | 7.590468 2.625103 2.89 0.004 2.442109 12.73883 + 108 | 17.14437 6.651834 2.58 0.010 4.098775 30.18997 + 110 | -2.846771 3.140988 -0.91 0.365 -9.006886 3.313343 + 400 | 10.50016 3.611343 2.91 0.004 3.417584 17.58274 + 401 | 18.79371 6.002515 3.13 0.002 7.02156 30.56586 + 402 | 12.21983 3.049779 4.01 0.000 6.238591 18.20106 + 403 | 15.97392 4.10045 3.90 0.000 7.932109 24.01574 + 404 | 18.54024 4.684149 3.96 0.000 9.353673 27.72681 + 405 | 15.9699 6.652075 2.40 0.016 2.923835 29.01597 + 498 | 12.53499 5.0401 2.49 0.013 2.650329 22.41965 + 499 | 10.04441 4.237762 2.37 0.018 1.733302 18.35552 + 700 | 12.71849 3.372182 3.77 0.000 6.10496 19.33203 + 701 | 19.43878 4.294011 4.53 0.000 11.01735 27.86021 + 703 | 12.44114 3.83936 3.24 0.001 4.911372 19.9709 + 704 | 9.458613 3.418149 2.77 0.006 2.75493 16.1623 + 705 | 5.761314 3.376757 1.71 0.088 -.8611928 12.38382 + 707 | 14.45538 7.388754 1.96 0.051 -.0354692 28.94622 + 708 | 17.41992 7.724862 2.26 0.024 2.269903 32.56995 + 709 | 13.47516 2.942972 4.58 0.000 7.70339 19.24692 + 710 | 16.56279 3.507567 4.72 0.000 9.683738 23.44184 + 711 | 21.96764 4.149154 5.29 0.000 13.83031 30.10497 + 798 | 21.12776 7.165737 2.95 0.003 7.074294 35.18122 + 799 | 25.89934 3.625173 7.14 0.000 18.78964 33.00904 + 800 | 9.386652 3.788895 2.48 0.013 1.95586 16.81744 + 801 | 7.538265 4.110049 1.83 0.067 -.5223747 15.5989 + 802 | 10.90792 3.368428 3.24 0.001 4.30175 17.51409 + 803 | 8.759383 2.875498 3.05 0.002 3.119949 14.39882 + 805 | -.0236405 3.833119 -0.01 0.995 -7.541165 7.493884 + 806 | 16.88545 3.774734 4.47 0.000 9.482433 24.28847 + 807 | 20.98203 4.26028 4.93 0.000 12.62676 29.3373 + 898 | 15.01672 10.20285 1.47 0.141 -4.993138 35.02659 + 899 | -.0955763 8.082518 -0.01 0.991 -15.94703 15.75588 + 1000 | 10.17932 3.734687 2.73 0.006 2.854841 17.5038 + 1001 | 27.23025 4.348647 6.26 0.000 18.70167 35.75883 + 1002 | 15.50292 3.740038 4.15 0.000 8.167944 22.83789 + 1003 | 12.94915 3.084186 4.20 0.000 6.90044 18.99787 + 1005 | 11.1812 5.092301 2.20 0.028 1.194161 21.16823 + 1006 | 23.93275 4.651291 5.15 0.000 14.81063 33.05488 + 1007 | 11.25852 3.558922 3.16 0.002 4.278754 18.23829 + 1010 | 19.35843 7.231468 2.68 0.007 5.17605 33.5408 + 1098 | 12.03166 7.423048 1.62 0.105 -2.526445 26.58976 + 1099 | 13.98868 14.04154 1.00 0.319 -13.54963 41.52698 + 1400 | 9.68083 4.518282 2.14 0.032 .8195629 18.5421 + 1401 | 19.92867 4.279801 4.66 0.000 11.53511 28.32223 + 1403 | 27.34216 5.255912 5.20 0.000 17.03426 37.65007 + 1404 | 7.507744 7.247555 1.04 0.300 -6.706181 21.72167 + 1405 | 26.20041 7.495249 3.50 0.000 11.50071 40.90012 + 1406 | 11.60393 4.64606 2.50 0.013 2.492062 20.71579 + 1407 | 18.84739 9.108867 2.07 0.039 .9830552 36.71173 + 1408 | 23.8013 10.27145 2.32 0.021 3.656898 43.9457 + 1409 | 25.52423 7.65729 3.33 0.001 10.50673 40.54173 + 1410 | 20.78688 3.570189 5.82 0.000 13.78501 27.78874 + 1499 | 4.210208 7.231141 0.58 0.560 -9.971526 18.39194 + 1500 | 10.82295 4.624921 2.34 0.019 1.752538 19.89336 + 1501 | 17.02453 3.392026 5.02 0.000 10.37208 23.67699 + 1502 | 8.175183 2.92592 2.79 0.005 2.43686 13.91351 + 1504 | 13.40386 3.29747 4.06 0.000 6.936853 19.87087 + 1505 | 23.77679 3.622935 6.56 0.000 16.67148 30.8821 + 1507 | 18.41613 4.190259 4.39 0.000 10.19819 26.63408 + 1520 | 13.809 4.567676 3.02 0.003 4.850861 22.76714 + 1521 | 14.38362 3.384862 4.25 0.000 7.745215 21.02202 + 1522 | 27.30674 4.159426 6.57 0.000 19.14926 35.46422 + 1523 | 15.87009 3.623081 4.38 0.000 8.764494 22.97569 + 1524 | 20.64657 7.762898 2.66 0.008 5.421954 35.87119 + 1525 | 19.3122 4.023427 4.80 0.000 11.42144 27.20296 + 1526 | 23.09175 3.955661 5.84 0.000 15.33389 30.8496 + 1599 | 20.40505 5.08209 4.02 0.000 10.43805 30.37206 + 1600 | 10.37564 4.374135 2.37 0.018 1.797071 18.9542 + 1602 | 4.490759 7.142122 0.63 0.530 -9.516391 18.49791 + 1603 | 7.940895 4.39028 1.81 0.071 -.6693348 16.55112 + 1604 | 18.42638 5.177259 3.56 0.000 8.272719 28.58003 + 1605 | 16.84492 6.676537 2.52 0.012 3.750873 29.93896 + 1606 | 17.36917 10.03576 1.73 0.084 -2.312996 37.05134 + 1608 | 15.50352 2.908731 5.33 0.000 9.798909 21.20813 + 1609 | 19.28274 3.213303 6.00 0.000 12.9808 25.58468 + 1610 | 17.10821 5.86557 2.92 0.004 5.604637 28.61178 + 1611 | 7.96744 4.113591 1.94 0.053 -.1001466 16.03503 + 1612 | 17.82029 3.510351 5.08 0.000 10.93578 24.7048 + 1614 | 2.796927 7.720775 0.36 0.717 -12.34508 17.93893 + 1615 | 7.778678 4.246963 1.83 0.067 -.550478 16.10783 + 1616 | 2.606303 4.020642 0.65 0.517 -5.278993 10.4916 + 1617 | 17.98224 5.8307 3.08 0.002 6.547057 29.41743 + 1619 | -2.903326 5.487274 -0.53 0.597 -13.66498 7.858331 + 1620 | 27.976 9.109783 3.07 0.002 10.10987 45.84213 + 1698 | 14.51814 6.12401 2.37 0.018 2.50771 26.52856 + 1699 | 22.70989 3.937292 5.77 0.000 14.98806 30.43172 + 1700 | 10.21597 6.023797 1.70 0.090 -1.597918 22.02986 + 1701 | 18.99343 5.256786 3.61 0.000 8.683808 29.30305 + 1704 | 9.616262 6.566394 1.46 0.143 -3.261769 22.49429 + 1705 | 6.912694 9.029078 0.77 0.444 -10.79516 24.62055 + 1706 | 18.83244 3.563597 5.28 0.000 11.8435 25.82137 + 1707 | 13.90591 4.917649 2.83 0.005 4.2614 23.55042 + 1708 | 19.4213 5.113249 3.80 0.000 9.393184 29.44942 + 1709 | 33.31099 6.29196 5.29 0.000 20.97118 45.65081 + 1798 | 22.39336 4.917686 4.55 0.000 12.74878 32.03794 + 1799 | 8.499452 8.908392 0.95 0.340 -8.971713 25.97062 + 1800 | 10.06221 4.893905 2.06 0.040 .4642678 19.66015 + 1802 | 19.37006 5.80016 3.34 0.001 7.994772 30.74535 + 1803 | 23.30552 4.875021 4.78 0.000 13.74461 32.86642 + 1804 | 18.18803 4.658002 3.90 0.000 9.052746 27.32332 + 1806 | 6.497892 4.388068 1.48 0.139 -2.107999 15.10378 + 1807 | -1.48232 2.49776 -0.59 0.553 -6.380935 3.416295 + 1808 | 1.832003 4.660076 0.39 0.694 -7.307351 10.97136 + 1899 | -.8110004 7.154849 -0.11 0.910 -14.84311 13.22111 + 1900 | 15.20238 4.225569 3.60 0.000 6.915177 23.48957 + 1901 | 16.02611 4.488679 3.57 0.000 7.222898 24.82932 + 1902 | 24.37575 5.151362 4.73 0.000 14.27288 34.47862 + 1905 | 22.00699 9.277504 2.37 0.018 3.811918 40.20206 + 1906 | 8.624094 6.315489 1.37 0.172 -3.761862 21.01005 + 1907 | 8.322371 8.175521 1.02 0.309 -7.711484 24.35623 + 1908 | 22.16311 9.25462 2.39 0.017 4.012922 40.3133 + 1909 | 44.13358 7.911718 5.58 0.000 28.61709 59.65006 + 1910 | 35.89478 11.87595 3.02 0.003 12.60363 59.18592 + 1911 | 25.3037 10.95479 2.31 0.021 3.819143 46.78826 + 1912 | -7.208573 3.203283 -2.25 0.025 -13.49086 -.9262853 + 1914 | 11.80511 5.338142 2.21 0.027 1.335931 22.27429 + 1915 | 12.60734 12.11762 1.04 0.298 -11.15778 36.37245 + 1919 | 18.41921 4.32339 4.26 0.000 9.940163 26.89825 + 1920 | 16.4089 4.103956 4.00 0.000 8.360206 24.45758 + 1925 | 30.57179 5.330125 5.74 0.000 20.11833 41.02524 + 1926 | 6.06133 4.051039 1.50 0.135 -1.883579 14.00624 + 1927 | 12.75993 3.732247 3.42 0.001 5.440233 20.07962 + 1929 | 12.66835 3.79415 3.34 0.001 5.22725 20.10945 + 1999 | 21.00007 12.41693 1.69 0.091 -3.352043 45.35218 + 2000 | 6.986304 2.725705 2.56 0.010 1.640643 12.33197 + 2001 | 8.40955 3.510033 2.40 0.017 1.525664 15.29344 + 2002 | 7.643221 2.841065 2.69 0.007 2.071315 13.21513 + 2003 | 21.93604 3.844974 5.71 0.000 14.39527 29.47682 + 2004 | 17.68949 2.932395 6.03 0.000 11.93847 23.44051 + 2005 | -.1776229 5.874398 -0.03 0.976 -11.69851 11.34326 + 2006 | 32.13564 3.207594 10.02 0.000 25.8449 38.42638 + 2007 | 11.72686 5.258019 2.23 0.026 1.414814 22.0389 + 2008 | 25.48784 2.777108 9.18 0.000 20.04136 30.93431 + 2009 | 7.236713 5.155833 1.40 0.161 -2.874921 17.34835 + 2011 | 7.428457 2.661267 2.79 0.005 2.209172 12.64774 + 2012 | 6.295281 3.238434 1.94 0.052 -.0559447 12.64651 + 2013 | 8.880462 6.504486 1.37 0.172 -3.876156 21.63708 + 2014 | 10.86968 4.283557 2.54 0.011 2.468759 19.27061 + 2015 | 18.14645 5.725074 3.17 0.002 6.918422 29.37448 + 2030 | 12.12463 4.869804 2.49 0.013 2.573957 21.67531 + 2099 | 15.69522 4.988481 3.15 0.002 5.911798 25.47865 + 2100 | 3.296217 3.065798 1.08 0.282 -2.716435 9.308869 + 2101 | 17.76515 2.862629 6.21 0.000 12.15096 23.37935 + 2102 | 18.844 3.359601 5.61 0.000 12.25514 25.43286 + 2103 | 9.503922 2.96197 3.21 0.001 3.694897 15.31295 + 2104 | 10.45699 2.988473 3.50 0.000 4.595986 16.31799 + 2105 | 16.70582 5.322026 3.14 0.002 6.268248 27.14339 + 2199 | 13.71802 12.5416 1.09 0.274 -10.8786 38.31464 + 9999 | 7.276387 3.782357 1.92 0.055 -.1415817 14.69436 + | + house_administration | -6.376183 1.703923 -3.74 0.000 -9.717923 -3.034444 + house_agriculture | 3.110375 1.309065 2.38 0.018 .5430333 5.677716 + house_appropriations | -9.517844 1.438874 -6.61 0.000 -12.33977 -6.695919 + house_armedservices | -.5646982 1.609316 -0.35 0.726 -3.720894 2.591498 + house_budget | 1.122983 1.668472 0.67 0.501 -2.149229 4.395195 + house_dc | 2.759584 11.16378 0.25 0.805 -19.13486 24.65403 + house_educlabor | -.4509899 1.873542 -0.24 0.810 -4.125385 3.223405 + house_energycommerce | 2.84181 1.148425 2.47 0.013 .5895146 5.094105 + house_foreignaffairs | .2699042 2.634548 0.10 0.918 -4.896979 5.436788 + house_governmentop | .5441156 1.953465 0.28 0.781 -3.287027 4.375258 + house_intelligence | -4.96658 3.401935 -1.46 0.144 -11.63846 1.705304 + house_interior | -2.236407 2.250039 -0.99 0.320 -6.64919 2.176376 + house_judiciary | -3.427845 .9701367 -3.53 0.000 -5.330479 -1.52521 + house_mmf | 6.678571 3.202027 2.09 0.037 .398747 12.9584 + house_pocs | 1.745853 2.625953 0.66 0.506 -3.404173 6.89588 + house_pwt | -.5125731 1.964334 -0.26 0.794 -4.36503 3.339884 + house_rules | -4.678663 1.116921 -4.19 0.000 -6.869171 -2.488155 + house_sst | 5.29372 4.336129 1.22 0.222 -3.210308 13.79775 + house_smallbusi | 1.330447 4.140937 0.32 0.748 -6.790771 9.451665 + house_soc | -2.697921 7.203215 -0.37 0.708 -16.82489 11.42904 + house_veterans | 6.242856 2.079782 3.00 0.003 2.163981 10.32173 + house_waysandmeans | -.8136519 .8972552 -0.91 0.365 -2.573351 .9460475 +house_naturalresources | .4870564 2.005569 0.24 0.808 -3.446272 4.420385 + house_bfs | .4894688 1.202309 0.41 0.684 -1.868502 2.84744 + house_eeo | -9.271796 4.553295 -2.04 0.042 -18.20173 -.3418594 + house_govreform | -.7820177 1.320618 -0.59 0.554 -3.372017 1.807981 + house_ir | 1.971718 2.162334 0.91 0.362 -2.269058 6.212494 + house_natsecur | -1.826541 2.65964 -0.69 0.492 -7.042634 3.389552 + house_oversight | 2.709295 2.198869 1.23 0.218 -1.603133 7.021723 + house_resources | -6.146611 1.266216 -4.85 0.000 -8.629918 -3.663304 + house_science | 2.617443 1.933146 1.35 0.176 -1.173848 6.408734 + house_transp | 2.100635 1.373692 1.53 0.126 -.5934543 4.794724 + house_homeland | -.5285945 3.337293 -0.16 0.874 -7.073703 6.016514 + _cons | 8.767547 2.853666 3.07 0.002 3.170928 14.36416 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,387 1 0 1 1 +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(62,331 observations deleted) +(16 missing values generated) +(1 real change made) +(1 real change made) +(17 missing values generated) +(1 real change made) +(0 real changes made) +(17 missing values generated) +(1 real change made) +(1 real change made) +(17 missing values generated) +(0 real changes made) +(0 real changes made) +(17 missing values generated) +(1 real change made) +(0 real changes made) +(5 real changes made) +(5 real changes made) +(5 real changes made) +file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/Table10_pct_cosponsors_opposite_WF10.xls saved + + +j = 1 k = 1 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11989 +----------------------+---------------------- NN matches = 3 + Number of obs | 6150 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 15.71586 27.17455 .5783301 +---------------------------------------------- +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 o +> cc3 occ4 borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if tag_bill==1 & women_friend1==1, robust cluster(group_sponso +> r) +note: house_soc omitted because of collinearity + +Linear regression Number of obs = 20,070 + F(136, 4030) = 13.68 + Prob > F = 0.0000 + R-squared = 0.1346 + Root MSE = 19.707 + + (Std. Err. adjusted for 4,031 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 1.482531 .709878 2.09 0.037 .0907778 2.874284 + | + v2 | + 102 | -.502975 1.059293 -0.47 0.635 -2.579775 1.573825 + 103 | -1.696892 1.337177 -1.27 0.205 -4.318497 .9247137 + 104 | -3.350071 1.405641 -2.38 0.017 -6.105905 -.5942373 + 105 | -2.046763 1.317407 -1.55 0.120 -4.62961 .5360844 + 106 | -.834422 1.279685 -0.65 0.514 -3.343311 1.674467 + 107 | -.7081896 1.339346 -0.53 0.597 -3.334048 1.917669 + 108 | -9.75938 3.961877 -2.46 0.014 -17.52685 -1.991912 + 109 | -10.13162 3.940146 -2.57 0.010 -17.85649 -2.406758 + 110 | -8.778185 3.930141 -2.23 0.026 -16.48343 -1.072936 + 111 | -10.25456 3.912464 -2.62 0.009 -17.92516 -2.583974 + | + minor | + 201 | -2.082077 1.903776 -1.09 0.274 -5.814531 1.650378 + 202 | 1.444305 2.079012 0.69 0.487 -2.631707 5.520318 + 204 | 12.96207 4.00964 3.23 0.001 5.100964 20.82319 + 205 | 5.847653 3.44655 1.70 0.090 -.9094904 12.6048 + 206 | -3.133452 1.820596 -1.72 0.085 -6.702826 .4359228 + 207 | -.6282514 1.679448 -0.37 0.708 -3.920897 2.664394 + 208 | 2.066232 1.615516 1.28 0.201 -1.101072 5.233536 + 209 | -6.293443 3.284436 -1.92 0.055 -12.73275 .1458684 + 299 | -.8686371 3.035941 -0.29 0.775 -6.820759 5.083485 + 300 | 3.828847 1.917088 2.00 0.046 .0702947 7.587399 + 301 | 2.704068 1.549751 1.74 0.081 -.3343011 5.742438 + 302 | 2.848101 1.355543 2.10 0.036 .1904878 5.505713 + 321 | 5.368433 1.561714 3.44 0.001 2.306611 8.430256 + 322 | 8.047729 1.56933 5.13 0.000 4.970974 11.12448 + 323 | 8.665894 1.726468 5.02 0.000 5.281062 12.05073 + 324 | -2.098608 1.753378 -1.20 0.231 -5.536198 1.338982 + 325 | 8.092379 1.692563 4.78 0.000 4.774021 11.41074 + 331 | 10.62549 1.621484 6.55 0.000 7.446488 13.8045 + 332 | 6.035061 1.552625 3.89 0.000 2.991057 9.079064 + 333 | 7.159255 1.983781 3.61 0.000 3.269947 11.04856 + 334 | 7.827902 1.589749 4.92 0.000 4.711114 10.94469 + 335 | -.0708189 1.7599 -0.04 0.968 -3.521196 3.379558 + 336 | 10.79383 1.759575 6.13 0.000 7.344087 14.24356 + 341 | 8.033385 2.209092 3.64 0.000 3.702344 12.36443 + 342 | 10.40478 3.755418 2.77 0.006 3.042085 17.76748 + 343 | 2.273525 2.338182 0.97 0.331 -2.310604 6.857655 + 344 | 5.757896 3.43874 1.67 0.094 -.9839348 12.49973 + 398 | 10.81288 1.705585 6.34 0.000 7.468995 14.15677 + 399 | 5.077115 2.616799 1.94 0.052 -.0532576 10.20749 + 500 | -.0150265 2.896475 -0.01 0.996 -5.693719 5.663666 + 501 | 1.234743 1.736166 0.71 0.477 -2.169102 4.638588 + 502 | 2.057015 1.705796 1.21 0.228 -1.287288 5.401319 + 503 | 1.201375 1.326678 0.91 0.365 -1.399646 3.802396 + 504 | -4.164808 1.706318 -2.44 0.015 -7.510135 -.8194805 + 505 | .3756002 1.818848 0.21 0.836 -3.190348 3.941548 + 506 | .1747564 1.905875 0.09 0.927 -3.561812 3.911325 + 508 | 2.10581 1.609731 1.31 0.191 -1.050153 5.261773 + 529 | 9.180702 3.505814 2.62 0.009 2.307369 16.05404 + 530 | 2.800606 1.350208 2.07 0.038 .1534517 5.44776 + 599 | -3.128537 3.368613 -0.93 0.353 -9.732881 3.475808 + 600 | .4904515 1.668196 0.29 0.769 -2.780135 3.761038 + 601 | 5.689356 1.322988 4.30 0.000 3.095567 8.283144 + 602 | 2.995659 1.354726 2.21 0.027 .3396476 5.65167 + 603 | 2.809803 1.753048 1.60 0.109 -.6271396 6.246745 + 604 | 7.870397 3.113848 2.53 0.012 1.765533 13.97526 + 606 | 4.161351 2.438135 1.71 0.088 -.6187406 8.941443 + 607 | 6.073764 1.68506 3.60 0.000 2.770115 9.377414 + 609 | 7.759235 3.166228 2.45 0.014 1.551678 13.96679 + 698 | 1.699896 5.080133 0.33 0.738 -8.259973 11.65977 + 699 | 3.791998 2.430957 1.56 0.119 -.9740224 8.558019 + 1200 | 2.257185 2.580463 0.87 0.382 -2.80195 7.31632 + 1201 | 7.293235 1.752017 4.16 0.000 3.858312 10.72816 + 1202 | 7.92148 2.51793 3.15 0.002 2.984945 12.85801 + 1203 | 1.549472 1.629745 0.95 0.342 -1.645729 4.744673 + 1204 | 3.842517 1.804203 2.13 0.033 .3052819 7.379752 + 1205 | 3.459845 1.993536 1.74 0.083 -.448587 7.368276 + 1206 | 3.524089 1.948797 1.81 0.071 -.2966299 7.344808 + 1207 | 4.90916 1.774115 2.77 0.006 1.430914 8.387406 + 1208 | 6.436156 1.412232 4.56 0.000 3.667401 9.204912 + 1209 | 4.476978 1.366807 3.28 0.001 1.797281 7.156674 + 1210 | 1.821573 1.587056 1.15 0.251 -1.289933 4.93308 + 1211 | 3.716402 1.984738 1.87 0.061 -.1747807 7.607585 + 1299 | 5.611846 3.385241 1.66 0.097 -1.025097 12.24879 + 1300 | 2.030204 2.233579 0.91 0.363 -2.348847 6.409254 + 1301 | 4.745439 1.958869 2.42 0.015 .9049722 8.585906 + 1302 | .0759758 1.83021 0.04 0.967 -3.512247 3.664199 + 1303 | .8742791 1.531574 0.57 0.568 -2.128452 3.877011 + 1304 | 6.523449 1.870271 3.49 0.000 2.856685 10.19021 + 1305 | 5.815036 2.121141 2.74 0.006 1.656428 9.973644 + 1399 | 3.891412 4.875734 0.80 0.425 -5.667722 13.45055 + | + house_administration | -2.668471 1.299799 -2.05 0.040 -5.216796 -.1201459 + house_agriculture | .6708895 1.410968 0.48 0.634 -2.095388 3.437167 + house_appropriations | -7.537428 1.991612 -3.78 0.000 -11.44209 -3.632767 + house_armedservices | .9505047 .973451 0.98 0.329 -.9579973 2.859007 + house_budget | -3.379163 1.638769 -2.06 0.039 -6.592057 -.166269 + house_dc | 6.968526 6.142587 1.13 0.257 -5.074341 19.01139 + house_educlabor | -2.391122 .4913548 -4.87 0.000 -3.354449 -1.427795 + house_energycommerce | 2.441812 .5205181 4.69 0.000 1.421309 3.462316 + house_foreignaffairs | 3.302342 1.914682 1.72 0.085 -.4514925 7.056176 + house_governmentop | -3.909504 1.784224 -2.19 0.028 -7.407569 -.4114386 + house_intelligence | .7716386 3.360478 0.23 0.818 -5.816755 7.360032 + house_interior | 4.503374 4.610634 0.98 0.329 -4.536017 13.54276 + house_judiciary | -.9873554 .5817127 -1.70 0.090 -2.127834 .1531232 + house_mmf | 2.191447 5.775247 0.38 0.704 -9.13123 13.51412 + house_pocs | -.1818656 1.377482 -0.13 0.895 -2.882492 2.518761 + house_pwt | -2.033832 2.326922 -0.87 0.382 -6.595885 2.528222 + house_rules | -3.664975 1.656185 -2.21 0.027 -6.912013 -.4179375 + house_sst | 2.395422 4.067637 0.59 0.556 -5.579395 10.37024 + house_smallbusi | 3.575265 2.890018 1.24 0.216 -2.090768 9.241299 + house_soc | 0 (omitted) + house_veterans | 1.950422 1.000212 1.95 0.051 -.0105458 3.91139 + house_waysandmeans | -1.030658 .4360394 -2.36 0.018 -1.885536 -.1757796 +house_naturalresources | -3.455979 2.647234 -1.31 0.192 -8.64602 1.734062 + house_bfs | -2.069346 .9739797 -2.12 0.034 -3.978885 -.1598077 + house_eeo | -3.245539 1.310637 -2.48 0.013 -5.815112 -.6759663 + house_govreform | .9652341 .9820793 0.98 0.326 -.9601841 2.890652 + house_ir | 3.379809 2.054465 1.65 0.100 -.6480772 7.407696 + house_natsecur | 4.431227 2.670206 1.66 0.097 -.8038523 9.666307 + house_oversight | -.2499811 1.668898 -0.15 0.881 -3.521945 3.021982 + house_resources | -.6472756 2.506226 -0.26 0.796 -5.560863 4.266312 + house_science | 1.964379 1.966455 1.00 0.318 -1.89096 5.819719 + house_transp | -1.048302 1.196639 -0.88 0.381 -3.394376 1.297772 + house_homeland | -5.4743 1.573969 -3.48 0.001 -8.560149 -2.388452 + sponsor_democrat | -11.07106 .5704547 -19.41 0.000 -12.18947 -9.952653 + sponsor_rookie | -3.977003 .677919 -5.87 0.000 -5.306099 -2.647907 + sponsor_tenure_run | .0192168 .0861938 0.22 0.824 -.1497708 .1882044 + sponsor_age | -.0331092 .029033 -1.14 0.254 -.0900299 .0238115 + leader | -1.020523 .7659633 -1.33 0.183 -2.522234 .4811888 + ivycoll | -.4575812 .6936413 -0.66 0.509 -1.817502 .9023392 + black | -1.697792 1.07752 -1.58 0.115 -3.810326 .4147421 + occ0 | 2.432193 .7058756 3.45 0.001 1.048287 3.8161 + occ1 | 2.111975 .8044496 2.63 0.009 .5348094 3.689141 + occ2 | 2.301805 .6681576 3.45 0.001 .9918472 3.611764 + occ3 | -2.009016 .9681115 -2.08 0.038 -3.907049 -.1109818 + occ4 | -.6152004 .7502259 -0.82 0.412 -2.086058 .8556572 + borninstate | .9732961 .462135 2.11 0.035 .067256 1.879336 + tot_bills | -.046464 .0147015 -3.16 0.002 -.0752871 -.0176408 + NE | -.0494831 .834543 -0.06 0.953 -1.685649 1.586683 + MW | .1624767 .7008237 0.23 0.817 -1.211525 1.536479 + WE | -1.82685 .7721013 -2.37 0.018 -3.340595 -.3131045 + pct_black | 1.678618 2.352025 0.71 0.475 -2.932651 6.289888 + pct_urban | .1145103 1.660145 0.07 0.945 -3.140292 3.369313 + pct_for_born | .236757 3.206633 0.07 0.941 -6.050016 6.52353 + pct_age_over65 | 24.58572 6.047881 4.07 0.000 12.72853 36.44291 + lninc | 2.776414 1.382358 2.01 0.045 .0662275 5.4866 + lnpden | -.6519746 .2499401 -2.61 0.009 -1.141995 -.1619539 + _cons | -8.009373 13.65426 -0.59 0.558 -34.77928 18.76053 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,532 1 0 1 1 + + +j = 1 k = 2 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6186 +----------------------+---------------------- NN matches = 3 + Number of obs | 2192 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 24.47749 44.63704 .5483673 +---------------------------------------------- +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 o +> cc3 occ4 borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if sponsor_party==100 & tag_bill==1 & women_friend1==1, robust +> cluster(group_sponsor) +note: house_soc omitted because of collinearity +note: sponsor_democrat omitted because of collinearity + +Linear regression Number of obs = 11,721 + F(135, 2151) = 8.25 + Prob > F = 0.0000 + R-squared = 0.0989 + Root MSE = 15.298 + + (Std. Err. adjusted for 2,152 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -.893804 .4975344 -1.80 0.073 -1.869502 .0818945 + | + v2 | + 102 | -1.029059 .8595308 -1.20 0.231 -2.714657 .6565383 + 103 | -.3125042 1.267958 -0.25 0.805 -2.799055 2.174047 + 104 | -3.778635 1.413397 -2.67 0.008 -6.550403 -1.006868 + 105 | -4.008581 1.255192 -3.19 0.001 -6.470098 -1.547064 + 106 | -3.990598 1.213388 -3.29 0.001 -6.370133 -1.611063 + 107 | -4.329163 1.173736 -3.69 0.000 -6.630939 -2.027387 + 108 | -6.313939 3.84797 -1.64 0.101 -13.86007 1.232189 + 109 | -5.241741 3.850478 -1.36 0.174 -12.79279 2.309305 + 110 | 1.661414 3.861551 0.43 0.667 -5.911348 9.234177 + 111 | -.8969582 3.842578 -0.23 0.815 -8.432513 6.638597 + | + minor | + 201 | -6.557828 1.665032 -3.94 0.000 -9.823069 -3.292587 + 202 | -2.680559 1.46089 -1.83 0.067 -5.545464 .1843458 + 204 | 8.669035 4.21496 2.06 0.040 .4032138 16.93486 + 205 | 5.832175 3.465567 1.68 0.093 -.9640355 12.62839 + 206 | -5.509987 1.646001 -3.35 0.001 -8.737906 -2.282069 + 207 | 3.997439 2.206792 1.81 0.070 -.3302287 8.325107 + 208 | 2.741059 1.784844 1.54 0.125 -.759141 6.24126 + 209 | -6.544027 1.731372 -3.78 0.000 -9.939364 -3.14869 + 299 | -2.486717 6.383015 -0.39 0.697 -15.00424 10.03081 + 300 | .7069957 1.894946 0.37 0.709 -3.009122 4.423113 + 301 | 1.724485 1.633104 1.06 0.291 -1.478143 4.927113 + 302 | 2.674731 1.452005 1.84 0.066 -.1727479 5.52221 + 321 | 2.659279 1.742061 1.53 0.127 -.7570193 6.075578 + 322 | 2.864443 1.6857 1.70 0.089 -.4413293 6.170215 + 323 | 7.193836 1.888377 3.81 0.000 3.490601 10.89707 + 324 | .6896442 2.016702 0.34 0.732 -3.265244 4.644533 + 325 | 3.725691 1.75435 2.12 0.034 .2852924 7.16609 + 331 | 4.810292 1.651964 2.91 0.004 1.57068 8.049904 + 332 | 1.63062 1.530083 1.07 0.287 -1.369975 4.631216 + 333 | 1.869698 1.68445 1.11 0.267 -1.433621 5.173017 + 334 | 4.537531 1.617671 2.80 0.005 1.365168 7.709893 + 335 | -2.327494 1.602571 -1.45 0.147 -5.470244 .8152556 + 336 | 6.254695 1.806881 3.46 0.001 2.71128 9.798111 + 341 | 2.336039 2.015498 1.16 0.247 -1.616489 6.288566 + 342 | 5.490784 3.22911 1.70 0.089 -.8417191 11.82329 + 343 | 1.81577 2.211626 0.82 0.412 -2.521377 6.152917 + 344 | .9988436 2.649185 0.38 0.706 -4.196387 6.194074 + 398 | 6.038031 1.697761 3.56 0.000 2.708606 9.367455 + 399 | 3.045437 2.580167 1.18 0.238 -2.014445 8.10532 + 500 | -3.466353 1.966456 -1.76 0.078 -7.322706 .3900004 + 501 | -1.15712 1.892177 -0.61 0.541 -4.867807 2.553567 + 502 | -1.509249 1.818194 -0.83 0.407 -5.07485 2.056352 + 503 | .5569282 1.445332 0.39 0.700 -2.277465 3.391321 + 504 | -1.397924 1.797657 -0.78 0.437 -4.92325 2.127403 + 505 | 2.669936 2.240435 1.19 0.234 -1.723708 7.063581 + 506 | -1.216309 2.029962 -0.60 0.549 -5.197202 2.764584 + 508 | -.9700503 1.562955 -0.62 0.535 -4.035111 2.095011 + 529 | 13.23255 5.183079 2.55 0.011 3.068184 23.39692 + 530 | .5807543 1.45817 0.40 0.690 -2.278816 3.440325 + 599 | -.0210838 2.954864 -0.01 0.994 -5.81577 5.773603 + 600 | -.2972426 1.812068 -0.16 0.870 -3.850829 3.256344 + 601 | 2.601736 1.424446 1.83 0.068 -.1916986 5.395171 + 602 | -.3113558 1.403861 -0.22 0.825 -3.064422 2.441711 + 603 | -1.026817 1.74192 -0.59 0.556 -4.44284 2.389206 + 604 | 3.214457 3.790807 0.85 0.397 -4.219571 10.64849 + 606 | 2.788934 2.380296 1.17 0.241 -1.878988 7.456855 + 607 | .4616416 1.637737 0.28 0.778 -2.750071 3.673355 + 609 | 3.972613 3.064874 1.30 0.195 -2.037812 9.983039 + 698 | 5.282484 4.874174 1.08 0.279 -4.2761 14.84107 + 699 | 3.085732 2.157178 1.43 0.153 -1.14464 7.316103 + 1200 | -.5106216 2.714665 -0.19 0.851 -5.834263 4.81302 + 1201 | 2.685342 1.969112 1.36 0.173 -1.17622 6.546904 + 1202 | 7.840642 2.972086 2.64 0.008 2.012182 13.6691 + 1203 | 4.99786 1.897963 2.63 0.009 1.275827 8.719893 + 1204 | 7.428712 2.531012 2.94 0.003 2.465227 12.3922 + 1205 | 2.017 2.610702 0.77 0.440 -3.102763 7.136762 + 1206 | -1.038678 2.083895 -0.50 0.618 -5.125337 3.047981 + 1207 | 3.936434 2.116778 1.86 0.063 -.2147105 8.087578 + 1208 | 1.417367 1.496013 0.95 0.344 -1.516415 4.351148 + 1209 | -1.264445 1.443805 -0.88 0.381 -4.095845 1.566955 + 1210 | 1.331815 1.96386 0.68 0.498 -2.519447 5.183077 + 1211 | -.4296147 1.994409 -0.22 0.829 -4.340784 3.481555 + 1299 | 1.995021 3.653944 0.55 0.585 -5.170611 9.160652 + 1300 | 2.055862 2.302032 0.89 0.372 -2.458577 6.570302 + 1301 | -.1289115 1.797443 -0.07 0.943 -3.653819 3.395996 + 1302 | -1.715993 1.804236 -0.95 0.342 -5.25422 1.822235 + 1303 | -.5549671 1.527764 -0.36 0.716 -3.551016 2.441082 + 1304 | 1.439175 1.812203 0.79 0.427 -2.114678 4.993027 + 1305 | 3.969826 2.183386 1.82 0.069 -.3119411 8.251593 + 1399 | 2.030742 5.277225 0.38 0.700 -8.318252 12.37974 + | + house_administration | -.3761285 1.111998 -0.34 0.735 -2.556832 1.804575 + house_agriculture | -.8503053 1.206571 -0.70 0.481 -3.216473 1.515862 + house_appropriations | -8.099764 1.856026 -4.36 0.000 -11.73956 -4.459972 + house_armedservices | -.6298231 .991355 -0.64 0.525 -2.573937 1.314291 + house_budget | -4.301868 1.639193 -2.62 0.009 -7.516436 -1.0873 + house_dc | -1.289701 5.380582 -0.24 0.811 -11.84139 9.261983 + house_educlabor | -2.795182 .4480728 -6.24 0.000 -3.673883 -1.916481 + house_energycommerce | -.8136703 .5679324 -1.43 0.152 -1.927424 .3000834 + house_foreignaffairs | -.310313 1.774819 -0.17 0.861 -3.790853 3.170227 + house_governmentop | -5.279948 1.948598 -2.71 0.007 -9.101281 -1.458616 + house_intelligence | .2731061 2.46121 0.11 0.912 -4.553493 5.099705 + house_interior | -4.626031 2.602572 -1.78 0.076 -9.72985 .4777891 + house_judiciary | 1.25095 .6646773 1.88 0.060 -.0525266 2.554427 + house_mmf | 9.418569 8.080291 1.17 0.244 -6.427428 25.26457 + house_pocs | -2.12066 1.318106 -1.61 0.108 -4.705555 .4642351 + house_pwt | 2.168423 2.514172 0.86 0.389 -2.762038 7.098884 + house_rules | .6526705 2.151223 0.30 0.762 -3.566022 4.871363 + house_sst | 5.564263 3.793523 1.47 0.143 -1.875092 13.00362 + house_smallbusi | 2.824584 3.138542 0.90 0.368 -3.330308 8.979476 + house_soc | 0 (omitted) + house_veterans | -1.827214 .8961231 -2.04 0.042 -3.584571 -.0698558 + house_waysandmeans | .0574511 .4009508 0.14 0.886 -.7288404 .8437426 +house_naturalresources | .8612481 2.96428 0.29 0.771 -4.951904 6.6744 + house_bfs | -.7405535 .9819353 -0.75 0.451 -2.666195 1.185088 + house_eeo | -1.637236 1.480336 -1.11 0.269 -4.540275 1.265803 + house_govreform | .6082447 .9417483 0.65 0.518 -1.238587 2.455077 + house_ir | 5.315631 2.210516 2.40 0.016 .9806611 9.650602 + house_natsecur | 4.646571 4.441214 1.05 0.296 -4.062949 13.35609 + house_oversight | -1.941105 1.654647 -1.17 0.241 -5.185979 1.303769 + house_resources | .7049403 3.048684 0.23 0.817 -5.273734 6.683615 + house_science | -.6971898 1.71196 -0.41 0.684 -4.054459 2.660079 + house_transp | -3.122409 .9178791 -3.40 0.001 -4.922432 -1.322386 + house_homeland | -.336699 2.268401 -0.15 0.882 -4.785187 4.111789 + sponsor_democrat | 0 (omitted) + sponsor_rookie | -3.593132 .7475114 -4.81 0.000 -5.059052 -2.127211 + sponsor_tenure_run | -.1003386 .0767576 -1.31 0.191 -.2508654 .0501883 + sponsor_age | -.012995 .028404 -0.46 0.647 -.0686971 .0427071 + leader | .1205766 .6958228 0.17 0.862 -1.243979 1.485132 + ivycoll | -.4011827 .6325997 -0.63 0.526 -1.641753 .8393879 + black | -2.543017 1.003026 -2.54 0.011 -4.510019 -.5760162 + occ0 | -.7736801 .6743348 -1.15 0.251 -2.096096 .5487359 + occ1 | .6981267 .7152553 0.98 0.329 -.7045373 2.100791 + occ2 | -.219422 .6732233 -0.33 0.745 -1.539658 1.100814 + occ3 | -.6677564 .959029 -0.70 0.486 -2.548477 1.212964 + occ4 | -1.211782 .8438433 -1.44 0.151 -2.866615 .443052 + borninstate | 1.009272 .4220496 2.39 0.017 .1816047 1.83694 + tot_bills | -.0403913 .0120276 -3.36 0.001 -.0639782 -.0168044 + NE | -1.850494 .7406343 -2.50 0.013 -3.302928 -.3980605 + MW | -1.360849 .7651605 -1.78 0.075 -2.861381 .139682 + WE | -1.27143 .7193888 -1.77 0.077 -2.6822 .1393397 + pct_black | 1.349087 2.307058 0.58 0.559 -3.17521 5.873383 + pct_urban | -5.631396 1.820183 -3.09 0.002 -9.200898 -2.061894 + pct_for_born | -3.590015 2.88323 -1.25 0.213 -9.244224 2.064193 + pct_age_over65 | 13.82614 7.739311 1.79 0.074 -1.351167 29.00345 + lninc | .352516 1.075866 0.33 0.743 -1.75733 2.462362 + lnpden | -.1015529 .2542923 -0.40 0.690 -.6002372 .3971314 + _cons | 15.03924 10.35034 1.45 0.146 -5.258464 35.33695 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 857 1 0 1 1 + + +j = 1 k = 3 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 11.12081 18.1168 .6138395 +---------------------------------------------- +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 o +> cc3 occ4 borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if sponsor_party==200 & tag_bill==1 & women_friend1==1, robust +> cluster(group_sponsor) +note: house_soc omitted because of collinearity +note: sponsor_democrat omitted because of collinearity + +Linear regression Number of obs = 8,290 + F(134, 1868) = . + Prob > F = . + R-squared = 0.1881 + Root MSE = 22.93 + + (Std. Err. adjusted for 1,869 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 6.834732 1.486015 4.60 0.000 3.920308 9.749156 + | + v2 | + 102 | 1.167171 2.04817 0.57 0.569 -2.849772 5.184114 + 103 | -3.160827 2.484197 -1.27 0.203 -8.03292 1.711267 + 104 | .4133345 2.49509 0.17 0.868 -4.480122 5.306791 + 105 | 3.169576 2.452877 1.29 0.196 -1.641092 7.980244 + 106 | 5.149836 2.340905 2.20 0.028 .5587712 9.740902 + 107 | 6.555007 2.465268 2.66 0.008 1.720037 11.38998 + 108 | .6184569 6.693021 0.09 0.926 -12.50813 13.74504 + 109 | -1.896777 6.629657 -0.29 0.775 -14.89909 11.10554 + 110 | -8.375913 6.702253 -1.25 0.212 -21.5206 4.768778 + 111 | -8.681062 6.758529 -1.28 0.199 -21.93612 4.574001 + | + minor | + 201 | 9.758949 15.88727 0.61 0.539 -21.39971 40.91761 + 202 | 8.582517 7.531694 1.14 0.255 -6.188904 23.35394 + 204 | 14.71251 6.298813 2.34 0.020 2.359063 27.06596 + 205 | 8.631119 6.437717 1.34 0.180 -3.994755 21.25699 + 206 | .2221087 3.840598 0.06 0.954 -7.310206 7.754424 + 207 | -1.587238 2.45218 -0.65 0.518 -6.396539 3.222063 + 208 | 1.319457 2.667857 0.49 0.621 -3.912837 6.551751 + 209 | -12.97252 2.452879 -5.29 0.000 -17.78319 -8.16185 + 299 | 1.855333 3.533063 0.53 0.600 -5.073833 8.784498 + 300 | 6.956642 3.515882 1.98 0.048 .0611727 13.85211 + 301 | 3.373919 2.759043 1.22 0.222 -2.037212 8.785051 + 302 | 4.206088 2.351553 1.79 0.074 -.4058603 8.818036 + 321 | 9.104509 2.670808 3.41 0.001 3.866429 14.34259 + 322 | 14.55862 2.731305 5.33 0.000 9.201886 19.91535 + 323 | 10.60331 2.963921 3.58 0.000 4.790368 16.41626 + 324 | -3.770254 2.770079 -1.36 0.174 -9.203028 1.662521 + 325 | 17.68382 3.158599 5.60 0.000 11.48907 23.87857 + 331 | 20.76256 2.90316 7.15 0.000 15.06878 26.45634 + 332 | 15.63387 3.094078 5.05 0.000 9.56566 21.70209 + 333 | 24.17968 5.256276 4.60 0.000 13.87089 34.48847 + 334 | 13.4127 2.929965 4.58 0.000 7.66635 19.15905 + 335 | 5.196365 3.611562 1.44 0.150 -1.886756 12.27949 + 336 | 17.56432 3.263906 5.38 0.000 11.16304 23.96561 + 341 | 21.69545 5.739342 3.78 0.000 10.43926 32.95165 + 342 | 19.77898 7.074923 2.80 0.005 5.903393 33.65456 + 343 | 1.717889 4.26965 0.40 0.687 -6.655898 10.09168 + 344 | 33.0637 9.965389 3.32 0.001 13.51923 52.60816 + 398 | 16.0771 3.008546 5.34 0.000 10.17664 21.97757 + 399 | 10.51309 4.836947 2.17 0.030 1.026701 19.99948 + 500 | 5.53255 5.213741 1.06 0.289 -4.69282 15.75792 + 501 | 1.074608 3.211958 0.33 0.738 -5.224796 7.374012 + 502 | 4.763706 3.305772 1.44 0.150 -1.719689 11.2471 + 503 | 2.311004 2.278952 1.01 0.311 -2.158556 6.780563 + 504 | -6.956073 2.615204 -2.66 0.008 -12.0851 -1.827044 + 505 | -1.135125 2.870628 -0.40 0.693 -6.7651 4.494849 + 506 | .6042424 4.136425 0.15 0.884 -7.508258 8.716742 + 508 | 7.527724 3.586682 2.10 0.036 .4933984 14.56205 + 529 | 8.200266 4.579611 1.79 0.074 -.7814251 17.18196 + 530 | 6.196388 2.259093 2.74 0.006 1.765775 10.627 + 599 | -5.149137 5.827291 -0.88 0.377 -16.57782 6.279548 + 600 | -.7357563 3.005292 -0.24 0.807 -6.62984 5.158327 + 601 | 9.859348 2.340055 4.21 0.000 5.269951 14.44875 + 602 | 7.244038 2.490629 2.91 0.004 2.359329 12.12875 + 603 | 7.607348 4.349445 1.75 0.080 -.922935 16.13763 + 604 | 12.7867 6.362222 2.01 0.045 .3088902 25.26451 + 606 | 5.471874 4.260009 1.28 0.199 -2.883004 13.82675 + 607 | 14.43819 3.463522 4.17 0.000 7.645408 21.23097 + 609 | 11.36788 5.369248 2.12 0.034 .8375278 21.89824 + 698 | -5.278833 8.70395 -0.61 0.544 -22.34932 11.79166 + 699 | 2.907781 5.703064 0.51 0.610 -8.277266 14.09283 + 1200 | 5.454273 4.567401 1.19 0.233 -3.503472 14.41202 + 1201 | 12.90365 3.091054 4.17 0.000 6.841365 18.96593 + 1202 | 8.122788 3.632688 2.24 0.025 .9982332 15.24734 + 1203 | -.2806867 2.423882 -0.12 0.908 -5.034489 4.473115 + 1204 | 3.070239 2.394557 1.28 0.200 -1.626049 7.766528 + 1205 | 5.359868 3.109842 1.72 0.085 -.7392624 11.459 + 1206 | 5.444516 3.822908 1.42 0.155 -2.053103 12.94214 + 1207 | 5.188064 2.675802 1.94 0.053 -.0598116 10.43594 + 1208 | 12.09729 2.576105 4.70 0.000 7.044946 17.14964 + 1209 | 13.02216 2.330917 5.59 0.000 8.450685 17.59363 + 1210 | 4.183002 2.381971 1.76 0.079 -.4886022 8.854606 + 1211 | 11.55978 3.466776 3.33 0.001 4.760618 18.35894 + 1299 | 10.20031 5.773031 1.77 0.077 -1.121963 21.52258 + 1300 | 1.864754 3.730232 0.50 0.617 -5.451106 9.180614 + 1301 | 14.81861 5.295954 2.80 0.005 4.432002 25.20522 + 1302 | 1.065987 3.822349 0.28 0.780 -6.430538 8.562511 + 1303 | 5.828863 2.606749 2.24 0.025 .7164154 10.94131 + 1304 | 15.17698 3.531401 4.30 0.000 8.251078 22.10289 + 1305 | 7.977125 4.313099 1.85 0.065 -.4818751 16.43613 + 1399 | 6.904702 7.796658 0.89 0.376 -8.386375 22.19578 + | + house_administration | -1.693704 2.661393 -0.64 0.525 -6.91332 3.525913 + house_agriculture | 2.404338 2.858226 0.84 0.400 -3.201314 8.00999 + house_appropriations | -5.838391 4.391928 -1.33 0.184 -14.45199 2.775211 + house_armedservices | 3.228943 1.780257 1.81 0.070 -.2625582 6.720445 + house_budget | -5.160699 3.028157 -1.70 0.089 -11.09963 .7782273 + house_dc | 8.222145 8.591963 0.96 0.339 -8.628712 25.073 + house_educlabor | -1.021183 1.03194 -0.99 0.323 -3.04506 1.002694 + house_energycommerce | 7.465609 .8968157 8.32 0.000 5.706743 9.224476 + house_foreignaffairs | 6.089166 3.905691 1.56 0.119 -1.570811 13.74914 + house_governmentop | -1.658545 3.48336 -0.48 0.634 -8.490231 5.173141 + house_intelligence | 1.817625 10.13105 0.18 0.858 -18.05175 21.687 + house_interior | 22.21955 11.85124 1.87 0.061 -1.023513 45.46262 + house_judiciary | -2.887103 .9065604 -3.18 0.001 -4.665081 -1.109126 + house_mmf | -5.928301 3.696436 -1.60 0.109 -13.17788 1.321278 + house_pocs | .8834495 3.125738 0.28 0.777 -5.246857 7.013756 + house_pwt | -8.971585 4.114105 -2.18 0.029 -17.04031 -.902859 + house_rules | -4.221069 2.502343 -1.69 0.092 -9.128752 .6866129 + house_sst | -5.132771 10.42458 -0.49 0.623 -25.57782 15.31228 + house_smallbusi | 6.045147 6.219103 0.97 0.331 -6.151974 18.24227 + house_soc | 0 (omitted) + house_veterans | 5.07258 1.9849 2.56 0.011 1.179725 8.965435 + house_waysandmeans | -3.009216 .8262254 -3.64 0.000 -4.629638 -1.388794 +house_naturalresources | -3.396321 3.677444 -0.92 0.356 -10.60865 3.81601 + house_bfs | -5.057185 1.940646 -2.61 0.009 -8.863248 -1.251122 + house_eeo | -4.3759 1.930709 -2.27 0.024 -8.162473 -.5893269 + house_govreform | 1.842531 1.63179 1.13 0.259 -1.357791 5.042854 + house_ir | .0743263 3.395539 0.02 0.983 -6.585122 6.733775 + house_natsecur | 2.279577 3.35819 0.68 0.497 -4.306621 8.865775 + house_oversight | .1184486 2.830402 0.04 0.967 -5.432635 5.669532 + house_resources | -2.008932 3.532504 -0.57 0.570 -8.937001 4.919138 + house_science | 5.965957 4.452669 1.34 0.180 -2.766772 14.69869 + house_transp | 2.162568 2.585961 0.84 0.403 -2.909109 7.234245 + house_homeland | -8.482801 1.76782 -4.80 0.000 -11.94991 -5.015691 + sponsor_democrat | 0 (omitted) + sponsor_rookie | -5.347648 1.147604 -4.66 0.000 -7.598369 -3.096928 + sponsor_tenure_run | -.0879642 .1538086 -0.57 0.567 -.3896189 .2136906 + sponsor_age | -.0242582 .045121 -0.54 0.591 -.1127511 .0642348 + leader | -2.756823 1.059907 -2.60 0.009 -4.835549 -.6780976 + ivycoll | -.0899375 1.385426 -0.06 0.948 -2.807083 2.627208 + black | -2.966596 5.137679 -0.58 0.564 -13.04279 7.109599 + occ0 | 6.938579 1.31159 5.29 0.000 4.366243 9.510915 + occ1 | 6.328299 1.625241 3.89 0.000 3.140819 9.515779 + occ2 | 5.74981 1.159765 4.96 0.000 3.475239 8.024381 + occ3 | -.4443537 1.420632 -0.31 0.754 -3.230546 2.341838 + occ4 | 2.0361 1.031857 1.97 0.049 .0123864 4.059813 + borninstate | .6702882 .7539021 0.89 0.374 -.8082909 2.148867 + tot_bills | -.0349032 .0296933 -1.18 0.240 -.0931388 .0233324 + NE | 3.827131 1.286306 2.98 0.003 1.304383 6.349879 + MW | 3.685344 1.025183 3.59 0.000 1.674719 5.695968 + WE | -.9440725 1.236934 -0.76 0.445 -3.369991 1.481846 + pct_black | 2.089562 5.609036 0.37 0.710 -8.911075 13.0902 + pct_urban | 1.744248 2.77716 0.63 0.530 -3.702415 7.190911 + pct_for_born | 19.96266 8.755988 2.28 0.023 2.790111 37.13521 + pct_age_over65 | 39.73894 9.608566 4.14 0.000 20.89429 58.5836 + lninc | 4.99505 3.124472 1.60 0.110 -1.132774 11.12287 + lnpden | -.5252149 .4296114 -1.22 0.222 -1.367784 .317354 + _cons | -48.51472 31.07988 -1.56 0.119 -109.4696 12.44021 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 668 1 0 1 1 + + +j = 2 k = 1 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11989 +----------------------+---------------------- NN matches = 3 + Number of obs | 6150 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 15.71586 27.17455 .5783301 +---------------------------------------------- +reg pct_cosponsors_opposite sponsor_female i.v2 MV1_female femaleXMV1_female if tag_bill==1 & sample==1 & abs(MV1_female)<=15.71585796583256 & women_friend1==1, rob +> ust cluster(group_sponsor) + +Linear regression Number of obs = 916 + F(13, 199) = 0.96 + Prob > F = 0.4915 + R-squared = 0.0578 + Root MSE = 22.577 + + (Std. Err. adjusted for 200 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust +pct_cosponsors_~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | 4.965159 5.641998 0.88 0.380 -6.160617 16.09093 + | + v2 | + 102 | 17.19973 12.60664 1.36 0.174 -7.66001 42.05947 + 103 | -5.000976 4.196456 -1.19 0.235 -13.2762 3.274252 + 104 | -1.084406 4.913635 -0.22 0.826 -10.77388 8.605068 + 105 | -4.077842 4.357309 -0.94 0.350 -12.67026 4.514581 + 106 | -2.523795 3.906095 -0.65 0.519 -10.22644 5.178855 + 107 | 1.692541 5.492123 0.31 0.758 -9.137687 12.52277 + 108 | 1.100347 7.545011 0.15 0.884 -13.77809 15.97878 + 109 | 3.60857 4.291721 0.84 0.401 -4.854516 12.07166 + 110 | -3.322558 4.514305 -0.74 0.463 -12.22457 5.579456 + 111 | -3.23266 5.662833 -0.57 0.569 -14.39952 7.934201 + | + MV1_female | -.0708116 .2741802 -0.26 0.796 -.6114831 .4698599 +femaleXMV1_female | -.2410709 .5886413 -0.41 0.683 -1.401846 .9197042 + _cons | 16.29678 4.301154 3.79 0.000 7.815089 24.77846 +----------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 72 1 0 1 1 + + +j = 2 k = 2 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6186 +----------------------+---------------------- NN matches = 3 + Number of obs | 2192 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 24.47749 44.63704 .5483673 +---------------------------------------------- +reg pct_cosponsors_opposite sponsor_female i.v2 MV1_female femaleXMV1_female if sponsor_party==100 & tag_bill==1 & sample==1 & abs(MV1_female)<=24.47749468503319 & +> women_friend1==1, robust cluster(group_sponsor) + +Linear regression Number of obs = 708 + F(13, 149) = 0.71 + Prob > F = 0.7472 + R-squared = 0.0125 + Root MSE = 16.441 + + (Std. Err. adjusted for 150 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust +pct_cosponsors_~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -1.893984 2.629685 -0.72 0.473 -7.090276 3.302307 + | + v2 | + 102 | -1.099096 3.432064 -0.32 0.749 -7.880899 5.682707 + 103 | -2.476469 3.528198 -0.70 0.484 -9.448235 4.495297 + 104 | -4.79924 3.678433 -1.30 0.194 -12.06787 2.469392 + 105 | -5.865167 3.100866 -1.89 0.061 -11.99252 .2621852 + 106 | -2.433524 3.160562 -0.77 0.443 -8.678837 3.811788 + 107 | -4.986348 3.265501 -1.53 0.129 -11.43902 1.466325 + 108 | -5.601176 3.605335 -1.55 0.122 -12.72537 1.523013 + 109 | -1.873007 3.645398 -0.51 0.608 -9.076361 5.330346 + 110 | -3.697308 3.564334 -1.04 0.301 -10.74048 3.345862 + 111 | -2.186064 4.528091 -0.48 0.630 -11.13363 6.761504 + | + MV1_female | .1540352 .1455686 1.06 0.292 -.1336104 .4416807 +femaleXMV1_female | -.0995131 .1902571 -0.52 0.602 -.4754637 .2764375 + _cons | 15.71711 3.418773 4.60 0.000 8.96157 22.47265 +----------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 60 1 0 1 1 + + +j = 2 k = 3 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 11.12081 18.1168 .6138395 +---------------------------------------------- +reg pct_cosponsors_opposite sponsor_female i.v2 MV1_female femaleXMV1_female if sponsor_party==200 & tag_bill==1 & sample==1 & abs(MV1_female)<=11.12080711934915 & +> women_friend1==1, robust cluster(group_sponsor) + +Linear regression Number of obs = 338 + F(13, 73) = 6.01 + Prob > F = 0.0000 + R-squared = 0.2083 + Root MSE = 24.819 + + (Std. Err. adjusted for 74 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust +pct_cosponsors_~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | 24.26094 10.65417 2.28 0.026 3.027206 45.49468 + | + v2 | + 102 | 18.18463 10.49938 1.73 0.088 -2.740594 39.10986 + 103 | -7.185107 7.922393 -0.91 0.367 -22.97441 8.604199 + 104 | -6.067758 6.915237 -0.88 0.383 -19.84981 7.714291 + 105 | -8.854774 8.203274 -1.08 0.284 -25.20387 7.494327 + 106 | -5.460955 7.191495 -0.76 0.450 -19.79358 8.871673 + 107 | 4.614791 7.930491 0.58 0.562 -11.19065 20.42024 + 108 | 4.085214 10.03864 0.41 0.685 -15.92177 24.0922 + 109 | -4.749473 8.036328 -0.59 0.556 -20.76585 11.26691 + 110 | -13.09702 7.978363 -1.64 0.105 -28.99788 2.803836 + 111 | -17.15101 8.887035 -1.93 0.058 -34.86284 .560827 + | + MV1_female | -.2619955 .5721532 -0.46 0.648 -1.402295 .8783042 +femaleXMV1_female | -1.418415 1.2288 -1.15 0.252 -3.867409 1.030579 + _cons | 20.66441 7.385209 2.80 0.007 5.945707 35.38311 +----------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 26 1 0 1 1 + + +j = 3 k = 1 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11989 +----------------------+---------------------- NN matches = 3 + Number of obs | 6150 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 15.71586 27.17455 .5783301 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(58,109 missing values generated) +(59,925 missing values generated) +(1,816 real changes made) +reg pct_cosponsors_opposite sponsor_female i.v2 MV1_female femaleXMV1_female i.minor house_* [aw=wt] if tag_bill==1 & sample==1 & women_friend1==1 & abs(MV1_female) +> <=15.71585796583256, robust cluster(group_sponsor) +(sum of wgt is 1,924.94078838825) +note: house_dc omitted because of collinearity +note: house_smallbusi omitted because of collinearity +note: house_soc omitted because of collinearity + +Linear regression Number of obs = 916 + F(97, 199) = . + Prob > F = . + R-squared = 0.2375 + Root MSE = 22.462 + + (Std. Err. adjusted for 200 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 5.475489 6.077837 0.90 0.369 -6.50974 17.46072 + | + v2 | + 102 | 20.2645 11.77712 1.72 0.087 -2.959474 43.48847 + 103 | -5.233746 4.270093 -1.23 0.222 -13.65418 3.186692 + 104 | .9721452 5.360221 0.18 0.856 -9.597978 11.54227 + 105 | -1.144462 4.276293 -0.27 0.789 -9.577126 7.288203 + 106 | -1.369012 3.986071 -0.34 0.732 -9.22937 6.491346 + 107 | 4.720344 6.110533 0.77 0.441 -7.329362 16.77005 + 108 | 6.900155 9.758965 0.71 0.480 -12.3441 26.14441 + 109 | 3.491748 4.491958 0.78 0.438 -5.366197 12.34969 + 110 | -1.246319 4.720064 -0.26 0.792 -10.55408 8.061442 + 111 | -3.115557 6.974685 -0.45 0.656 -16.86933 10.63822 + | + MV1_female | -.1436756 .2782958 -0.52 0.606 -.6924629 .4051116 + femaleXMV1_female | -.2858581 .6375319 -0.45 0.654 -1.543043 .9713271 + | + minor | + 202 | 43.44485 10.16201 4.28 0.000 23.40581 63.48388 + 204 | 10.94585 12.78592 0.86 0.393 -14.26743 36.15912 + 205 | -2.103972 9.418852 -0.22 0.823 -20.67754 16.46959 + 206 | 2.476337 10.04371 0.25 0.806 -17.32943 22.28211 + 207 | -3.086739 5.433958 -0.57 0.571 -13.80227 7.628789 + 208 | -5.295391 6.723601 -0.79 0.432 -18.55404 7.963258 + 209 | -10.68856 5.542607 -1.93 0.055 -21.61834 .2412179 + 300 | 11.17002 13.47349 0.83 0.408 -15.39912 37.73915 + 301 | 13.31639 8.387074 1.59 0.114 -3.22256 29.85533 + 302 | 9.157669 6.653753 1.38 0.170 -3.963243 22.27858 + 321 | -.3616107 7.354991 -0.05 0.961 -14.86533 14.14211 + 322 | 12.57373 7.456637 1.69 0.093 -2.130438 27.27789 + 323 | 14.72813 11.49045 1.28 0.201 -7.930534 37.38679 + 324 | -11.27376 6.170296 -1.83 0.069 -23.44132 .8937935 + 325 | 14.23883 7.598428 1.87 0.062 -.7449414 29.2226 + 331 | 18.27418 7.579581 2.41 0.017 3.327576 33.22079 + 332 | 6.433557 7.723366 0.83 0.406 -8.796586 21.6637 + 333 | 17.7778 11.81152 1.51 0.134 -5.514001 41.06961 + 334 | 13.84639 8.224334 1.68 0.094 -2.371643 30.06442 + 335 | -3.550341 7.794482 -0.46 0.649 -18.92072 11.82004 + 336 | 12.19458 8.478257 1.44 0.152 -4.524177 28.91333 + 341 | 5.365495 10.26755 0.52 0.602 -14.88166 25.61266 + 342 | .5878997 6.827008 0.09 0.931 -12.87466 14.05046 + 343 | 3.535986 7.609706 0.46 0.643 -11.47002 18.54199 + 344 | -19.84685 6.926621 -2.87 0.005 -33.50584 -6.187851 + 398 | 11.84081 9.045954 1.31 0.192 -5.997421 29.67904 + 399 | 19.23367 16.68995 1.15 0.251 -13.67819 52.14554 + 500 | -35.19178 15.35375 -2.29 0.023 -65.46871 -4.914853 + 501 | -22.46536 9.069874 -2.48 0.014 -40.35076 -4.579965 + 502 | -1.840757 6.809399 -0.27 0.787 -15.2686 11.58708 + 503 | 5.142573 6.493118 0.79 0.429 -7.661573 17.94672 + 504 | -9.965886 5.407607 -1.84 0.067 -20.62945 .6976799 + 505 | -9.466658 5.973657 -1.58 0.115 -21.24645 2.313133 + 506 | -11.45221 5.812796 -1.97 0.050 -22.91479 .0103736 + 508 | -4.15518 5.729949 -0.73 0.469 -15.45439 7.144031 + 530 | 8.867971 5.543205 1.60 0.111 -2.062988 19.79893 + 599 | 10.1527 6.535096 1.55 0.122 -2.734229 23.03962 + 600 | -7.970952 7.335497 -1.09 0.279 -22.43623 6.494329 + 601 | 7.454632 7.268212 1.03 0.306 -6.877967 21.78723 + 602 | -6.278852 5.674811 -1.11 0.270 -17.46933 4.911628 + 603 | -7.851939 7.142127 -1.10 0.273 -21.9359 6.232024 + 604 | -17.97662 6.532486 -2.75 0.006 -30.8584 -5.094841 + 606 | -3.469906 8.672183 -0.40 0.689 -20.57107 13.63126 + 607 | -5.714191 6.632219 -0.86 0.390 -18.79264 7.364256 + 609 | .5680128 9.83582 0.06 0.954 -18.8278 19.96382 + 698 | -6.80108 9.311573 -0.73 0.466 -25.1631 11.56094 + 699 | -6.815086 5.711611 -1.19 0.234 -18.07814 4.447964 + 1200 | -15.13015 10.4854 -1.44 0.151 -35.80689 5.546597 + 1201 | 22.72709 12.09263 1.88 0.062 -1.119059 46.57323 + 1202 | -8.691382 7.019034 -1.24 0.217 -22.53261 5.149848 + 1203 | 8.187561 7.90507 1.04 0.302 -7.400893 23.77601 + 1204 | 9.908592 8.278981 1.20 0.233 -6.417198 26.23438 + 1205 | 13.92666 9.015384 1.54 0.124 -3.851288 31.7046 + 1206 | -1.064349 8.739324 -0.12 0.903 -18.29792 16.16922 + 1207 | 19.36009 8.820439 2.19 0.029 1.966572 36.75362 + 1208 | 1.051773 7.431737 0.14 0.888 -13.60329 15.70684 + 1209 | 5.111134 5.670727 0.90 0.369 -6.071293 16.29356 + 1210 | 9.041813 7.127446 1.27 0.206 -5.013201 23.09683 + 1211 | -3.196758 5.483961 -0.58 0.561 -14.01089 7.617374 + 1299 | 37.85201 5.743852 6.59 0.000 26.52538 49.17864 + 1300 | -1.488662 7.98548 -0.19 0.852 -17.23568 14.25836 + 1301 | -2.99733 11.86923 -0.25 0.801 -26.40293 20.40827 + 1302 | 15.53339 25.87809 0.60 0.549 -35.49708 66.56386 + 1303 | 13.11836 7.21519 1.82 0.071 -1.109682 27.3464 + 1304 | 17.95586 11.38067 1.58 0.116 -4.486322 40.39805 + 1305 | -10.48856 5.410737 -1.94 0.054 -21.1583 .1811742 + 1399 | -8.491084 7.40761 -1.15 0.253 -23.09857 6.116401 + | + house_administration | -8.373329 9.747738 -0.86 0.391 -27.59545 10.84879 + house_agriculture | -6.548487 3.301712 -1.98 0.049 -13.05932 -.037654 + house_appropriations | -.8608451 7.049517 -0.12 0.903 -14.76219 13.0405 + house_armedservices | -9.012542 5.205382 -1.73 0.085 -19.27733 1.252245 + house_budget | -1.781996 9.576327 -0.19 0.853 -20.6661 17.10211 + house_dc | 0 (omitted) + house_educlabor | 4.422478 3.643054 1.21 0.226 -2.761466 11.60642 + house_energycommerce | -2.598008 3.269476 -0.79 0.428 -9.045273 3.849257 + house_foreignaffairs | 7.751945 8.716254 0.89 0.375 -9.436129 24.94002 + house_governmentop | -27.85364 9.774144 -2.85 0.005 -47.12783 -8.579452 + house_intelligence | 43.70852 12.35081 3.54 0.001 19.35325 68.06379 + house_interior | -19.78855 11.35904 -1.74 0.083 -42.18807 2.610981 + house_judiciary | -4.290592 3.279556 -1.31 0.192 -10.75773 2.17655 + house_mmf | 29.50567 7.451745 3.96 0.000 14.81116 44.20019 + house_pocs | -7.079274 5.660205 -1.25 0.213 -18.24095 4.082405 + house_pwt | 23.49242 6.195131 3.79 0.000 11.27589 35.70895 + house_rules | -10.7832 10.46499 -1.03 0.304 -31.4197 9.853307 + house_sst | 30.74488 8.340792 3.69 0.000 14.2972 47.19255 + house_smallbusi | 0 (omitted) + house_soc | 0 (omitted) + house_veterans | -4.552533 4.284195 -1.06 0.289 -13.00078 3.895713 + house_waysandmeans | -1.53551 2.850306 -0.54 0.591 -7.156189 4.08517 +house_naturalresources | 13.01627 17.98776 0.72 0.470 -22.45482 48.48735 + house_bfs | 6.253178 5.10727 1.22 0.222 -3.818137 16.32449 + house_eeo | 3.013227 4.843322 0.62 0.535 -6.537594 12.56405 + house_govreform | -2.527718 5.424922 -0.47 0.642 -13.22543 8.169992 + house_ir | -.6362224 9.562471 -0.07 0.947 -19.493 18.22055 + house_natsecur | -12.08753 14.17782 -0.85 0.395 -40.04558 15.87052 + house_oversight | -6.984544 9.169088 -0.76 0.447 -25.06559 11.0965 + house_resources | 16.24722 13.08379 1.24 0.216 -9.553443 42.04788 + house_science | .8419116 5.62112 0.15 0.881 -10.24269 11.92652 + house_transp | -7.869231 8.316892 -0.95 0.345 -24.26978 8.531318 + house_homeland | -3.681735 8.106342 -0.45 0.650 -19.66709 12.30362 + _cons | 11.19619 5.330401 2.10 0.037 .6848723 21.70751 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 72 1 0 1 1 + + +j = 3 k = 2 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6186 +----------------------+---------------------- NN matches = 3 + Number of obs | 2192 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 24.47749 44.63704 .5483673 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(59,825 missing values generated) +(60,547 missing values generated) +(722 real changes made) +reg pct_cosponsors_opposite sponsor_female i.v2 MV1_female femaleXMV1_female i.minor house_* [aw=wt] if sponsor_party==100 & tag_bill==1 & sample==1 & women_friend1 +> ==1 & abs(MV1_female)<=24.47749468503319, robust cluster(group_sponsor) +(sum of wgt is 1,578.30547392368) +note: house_foreignaffairs omitted because of collinearity +note: house_smallbusi omitted because of collinearity +note: house_soc omitted because of collinearity + +Linear regression Number of obs = 708 + F(88, 149) = . + Prob > F = . + R-squared = 0.2492 + Root MSE = 14.93 + + (Std. Err. adjusted for 150 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -3.349044 2.799734 -1.20 0.234 -8.881356 2.183267 + | + v2 | + 102 | -2.107597 3.142358 -0.67 0.503 -8.316938 4.101744 + 103 | -4.164067 3.871094 -1.08 0.284 -11.8134 3.485266 + 104 | -.9948848 4.259562 -0.23 0.816 -9.411836 7.422066 + 105 | -7.992555 3.551151 -2.25 0.026 -15.00968 -.9754349 + 106 | -4.627997 3.434636 -1.35 0.180 -11.41488 2.158889 + 107 | -6.534353 3.690599 -1.77 0.079 -13.82702 .7583188 + 108 | -9.453795 3.755865 -2.52 0.013 -16.87543 -2.032156 + 109 | -4.366837 3.868648 -1.13 0.261 -12.01134 3.277662 + 110 | -3.820367 4.194028 -0.91 0.364 -12.10782 4.467088 + 111 | -5.415856 4.028454 -1.34 0.181 -13.37613 2.544423 + | + MV1_female | .3002545 .1524146 1.97 0.051 -.0009187 .6014277 + femaleXMV1_female | -.2874733 .2072327 -1.39 0.167 -.6969679 .1220213 + | + minor | + 202 | 15.72377 19.69508 0.80 0.426 -23.19396 54.6415 + 205 | -3.507014 11.61499 -0.30 0.763 -26.45839 19.44437 + 206 | -21.48184 10.01485 -2.14 0.034 -41.27132 -1.692371 + 207 | -12.39171 9.611767 -1.29 0.199 -31.38468 6.601272 + 208 | -12.56526 10.42491 -1.21 0.230 -33.16502 8.034489 + 300 | -1.681408 15.7926 -0.11 0.915 -32.88778 29.52497 + 301 | .4309016 12.75083 0.03 0.973 -24.76491 25.62671 + 302 | -7.429594 11.29539 -0.66 0.512 -29.74944 14.89025 + 321 | -5.48729 12.44001 -0.44 0.660 -30.06891 19.09433 + 322 | -6.337228 13.29419 -0.48 0.634 -32.60673 19.93227 + 323 | 10.24897 15.22806 0.67 0.502 -19.84189 40.33982 + 324 | -7.852438 9.53523 -0.82 0.412 -26.69418 10.9893 + 325 | 1.288323 12.44476 0.10 0.918 -23.30268 25.87933 + 331 | 3.106723 12.10914 0.26 0.798 -20.8211 27.03455 + 332 | -12.29328 11.29775 -1.09 0.278 -34.61777 10.03122 + 333 | -8.434621 12.04702 -0.70 0.485 -32.23969 15.37045 + 334 | 8.151501 12.69076 0.64 0.522 -16.92561 33.22861 + 335 | -9.001886 12.87708 -0.70 0.486 -34.44716 16.44339 + 336 | -6.009166 12.17367 -0.49 0.622 -30.0645 18.04617 + 341 | -7.46171 11.11436 -0.67 0.503 -29.42383 14.50041 + 342 | 4.000487 18.91927 0.21 0.833 -33.38423 41.3852 + 343 | 3.701262 12.89402 0.29 0.774 -21.7775 29.18002 + 344 | -22.63821 10.6693 -2.12 0.036 -43.72089 -1.555524 + 398 | -10.08592 11.63962 -0.87 0.388 -33.08596 12.91412 + 399 | -10.44034 12.49947 -0.84 0.405 -35.13946 14.25878 + 500 | -31.22233 12.29489 -2.54 0.012 -55.5172 -6.927453 + 501 | -14.18686 10.68309 -1.33 0.186 -35.29678 6.923071 + 502 | -7.193028 10.69029 -0.67 0.502 -28.31718 13.93112 + 503 | -8.838891 11.50937 -0.77 0.444 -31.58157 13.90378 + 504 | -7.513261 11.12515 -0.68 0.501 -29.49671 14.47019 + 505 | -14.4823 10.39196 -1.39 0.166 -35.01695 6.052355 + 506 | -14.5806 10.94972 -1.33 0.185 -36.21739 7.056186 + 508 | -14.37109 9.988272 -1.44 0.152 -34.10805 5.365866 + 530 | -1.891314 9.170001 -0.21 0.837 -20.01136 16.22873 + 600 | -12.19555 11.27167 -1.08 0.281 -34.46851 10.07741 + 601 | -1.614463 11.14246 -0.14 0.885 -23.63211 20.40318 + 602 | -13.55651 10.07531 -1.35 0.181 -33.46545 6.352429 + 603 | -9.31572 11.16715 -0.83 0.405 -31.38216 12.75072 + 604 | -17.60103 10.51711 -1.67 0.096 -38.38298 3.180921 + 606 | -7.902631 13.23139 -0.60 0.551 -34.04804 18.24278 + 607 | -11.94817 10.13097 -1.18 0.240 -31.9671 8.070752 + 609 | -10.31351 11.89923 -0.87 0.387 -33.82654 13.19951 + 698 | -8.572572 11.39951 -0.75 0.453 -31.09814 13.953 + 699 | -10.25307 10.7603 -0.95 0.342 -31.51556 11.00943 + 1200 | -13.9093 10.41123 -1.34 0.184 -34.48202 6.66342 + 1201 | -3.180827 12.16629 -0.26 0.794 -27.22157 20.85992 + 1202 | -19.14473 10.27934 -1.86 0.065 -39.45685 1.16738 + 1203 | -2.789569 14.72338 -0.19 0.850 -31.88315 26.30402 + 1204 | -2.844235 10.69006 -0.27 0.791 -23.96794 18.27947 + 1205 | 4.748692 15.89471 0.30 0.766 -26.65947 36.15686 + 1206 | -15.30918 10.09614 -1.52 0.132 -35.25927 4.640919 + 1207 | 10.99526 9.234682 1.19 0.236 -7.252595 29.24311 + 1208 | -9.213603 10.86306 -0.85 0.398 -30.67916 12.25196 + 1209 | -7.447419 10.14469 -0.73 0.464 -27.49345 12.59862 + 1210 | -9.480321 11.65446 -0.81 0.417 -32.5097 13.54905 + 1211 | -18.85147 11.14532 -1.69 0.093 -40.87476 3.171825 + 1299 | -15.98834 10.24682 -1.56 0.121 -36.23619 4.259512 + 1300 | -14.44626 11.04677 -1.31 0.193 -36.27482 7.382294 + 1301 | -.7581341 12.21388 -0.06 0.951 -24.89293 23.37666 + 1302 | -19.45613 10.65181 -1.83 0.070 -40.50424 1.591984 + 1303 | -13.40994 11.23643 -1.19 0.235 -35.61327 8.793394 + 1304 | -4.826227 12.94235 -0.37 0.710 -30.40049 20.74803 + 1305 | 17.41773 10.50731 1.66 0.099 -3.344865 38.18032 + 1399 | -20.29719 10.68723 -1.90 0.059 -41.41529 .8209162 + | + house_administration | -1.52684 5.916395 -0.26 0.797 -13.21771 10.16403 + house_agriculture | -1.849888 3.923385 -0.47 0.638 -9.602547 5.902772 + house_appropriations | 3.63354 4.942757 0.74 0.463 -6.133413 13.40049 + house_armedservices | -5.40084 3.678199 -1.47 0.144 -12.66901 1.867329 + house_budget | -5.844196 8.235304 -0.71 0.479 -22.11727 10.42887 + house_dc | -13.23433 5.664509 -2.34 0.021 -24.42747 -2.041182 + house_educlabor | .666356 1.97783 0.34 0.737 -3.241862 4.574574 + house_energycommerce | -2.239269 3.385457 -0.66 0.509 -8.928976 4.450439 + house_foreignaffairs | 0 (omitted) + house_governmentop | -13.20496 6.719069 -1.97 0.051 -26.48193 .0720082 + house_intelligence | 22.93439 9.207456 2.49 0.014 4.740333 41.12844 + house_interior | -3.428728 5.874144 -0.58 0.560 -15.03611 8.178658 + house_judiciary | 1.304838 3.518361 0.37 0.711 -5.64749 8.257165 + house_mmf | 39.7702 6.189571 6.43 0.000 27.53953 52.00087 + house_pocs | -3.384497 4.895913 -0.69 0.490 -13.05889 6.28989 + house_pwt | 11.49716 15.05659 0.76 0.446 -18.25485 41.24917 + house_rules | .9942171 16.34494 0.06 0.952 -31.3036 33.29203 + house_sst | 26.52769 4.833333 5.49 0.000 16.97696 36.07842 + house_smallbusi | 0 (omitted) + house_soc | 0 (omitted) + house_veterans | 2.432732 3.78265 0.64 0.521 -5.041835 9.907299 + house_waysandmeans | 3.569169 2.097238 1.70 0.091 -.5750008 7.713338 +house_naturalresources | -8.609805 13.00769 -0.66 0.509 -34.31317 17.09356 + house_bfs | 2.718193 5.876654 0.46 0.644 -8.894152 14.33054 + house_eeo | -11.29399 2.763362 -4.09 0.000 -16.75443 -5.833553 + house_govreform | 3.449621 4.686318 0.74 0.463 -5.810605 12.70985 + house_ir | -.5224919 4.626612 -0.11 0.910 -9.664739 8.619755 + house_natsecur | 14.30103 6.342471 2.25 0.026 1.76822 26.83383 + house_oversight | -6.170023 7.79717 -0.79 0.430 -21.57733 9.237288 + house_resources | -13.04084 9.56431 -1.36 0.175 -31.94005 5.85836 + house_science | -3.369906 3.238181 -1.04 0.300 -9.768594 3.028782 + house_transp | -3.293691 11.53592 -0.29 0.776 -26.08882 19.50144 + house_homeland | 18.97249 6.817006 2.78 0.006 5.501993 32.44298 + _cons | 25.28378 10.88149 2.32 0.022 3.781814 46.78575 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 60 1 0 1 1 + + +j = 3 k = 3 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 11.12081 18.1168 .6138395 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,738 missing values generated) +(61,776 missing values generated) +(1,038 real changes made) +reg pct_cosponsors_opposite sponsor_female i.v2 MV1_female femaleXMV1_female i.minor house_* [aw=wt] if sponsor_party==200 & tag_bill==1 & sample==1 & women_friend1 +> ==1 & abs(MV1_female)<=11.12080711934915, robust cluster(group_sponsor) +(sum of wgt is 604.4806166887283) +note: house_dc omitted because of collinearity +note: house_interior omitted because of collinearity +note: house_mmf omitted because of collinearity +note: house_pocs omitted because of collinearity +note: house_sst omitted because of collinearity +note: house_smallbusi omitted because of collinearity +note: house_soc omitted because of collinearity +note: house_naturalresources omitted because of collinearity +note: house_ir omitted because of collinearity +note: house_natsecur omitted because of collinearity +note: house_resources omitted because of collinearity +note: house_science omitted because of collinearity +note: house_homeland omitted because of collinearity + +Linear regression Number of obs = 324 + F(67, 71) = . + Prob > F = . + R-squared = 0.5800 + Root MSE = 22.764 + + (Std. Err. adjusted for 72 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 11.67264 7.690554 1.52 0.134 -3.661895 27.00716 + | + v2 | + 103 | -23.60279 7.599897 -3.11 0.003 -38.75655 -8.449021 + 104 | -14.00359 9.617318 -1.46 0.150 -33.17998 5.172795 + 105 | -22.61424 7.733308 -2.92 0.005 -38.03402 -7.194462 + 106 | -20.81275 8.823534 -2.36 0.021 -38.40638 -3.219128 + 107 | -9.827537 9.412931 -1.04 0.300 -28.59639 8.941315 + 108 | -13.74603 11.07446 -1.24 0.219 -35.82787 8.335808 + 109 | -19.27914 10.53056 -1.83 0.071 -40.27648 1.718207 + 110 | -27.49141 6.750233 -4.07 0.000 -40.95099 -14.03183 + 111 | -37.42598 13.88117 -2.70 0.009 -65.10424 -9.747721 + | + MV1_female | -.2639825 .7394806 -0.36 0.722 -1.738465 1.2105 + femaleXMV1_female | .2742946 1.230094 0.22 0.824 -2.178443 2.727032 + | + minor | + 202 | 42.71338 17.1354 2.49 0.015 8.54637 76.88039 + 204 | 13.63335 16.76648 0.81 0.419 -19.79807 47.06476 + 206 | 9.706269 16.61346 0.58 0.561 -23.42003 42.83257 + 207 | 7.532888 8.421042 0.89 0.374 -9.258193 24.32397 + 208 | -3.726482 13.11053 -0.28 0.777 -29.86815 22.41518 + 209 | 4.402654 11.60236 0.38 0.705 -18.73179 27.5371 + 300 | 1.861158 19.99673 0.09 0.926 -38.01118 41.7335 + 301 | 16.97021 15.09183 1.12 0.265 -13.12204 47.06246 + 302 | 24.53429 10.83516 2.26 0.027 2.929597 46.13899 + 321 | -.7116334 14.41018 -0.05 0.961 -29.44472 28.02146 + 322 | 16.96436 14.1049 1.20 0.233 -11.16001 45.08874 + 323 | 17.71793 18.11395 0.98 0.331 -18.40026 53.83613 + 324 | -19.55621 11.41704 -1.71 0.091 -42.32115 3.208725 + 325 | 36.05154 12.38563 2.91 0.005 11.3553 60.74777 + 331 | 48.59443 11.5436 4.21 0.000 25.57714 71.61172 + 332 | 45.13052 9.659849 4.67 0.000 25.86933 64.39172 + 333 | 65.54401 9.939127 6.59 0.000 45.72596 85.36207 + 334 | 8.43744 11.87751 0.71 0.480 -15.24565 32.12053 + 335 | -10.96584 10.7812 -1.02 0.313 -32.46294 10.53125 + 336 | 24.87521 12.09175 2.06 0.043 .764941 48.98547 + 341 | 7.344173 18.51519 0.40 0.693 -29.57407 44.26241 + 343 | 38.04079 18.0314 2.11 0.038 2.087196 73.99439 + 398 | 31.37013 16.84654 1.86 0.067 -2.220928 64.96118 + 399 | 36.83507 24.52347 1.50 0.138 -12.06333 85.73348 + 500 | -19.73477 17.27735 -1.14 0.257 -54.18483 14.71528 + 503 | 14.64237 8.391477 1.74 0.085 -2.089761 31.3745 + 505 | -12.50659 10.13579 -1.23 0.221 -32.71679 7.703603 + 508 | 23.91719 10.63794 2.25 0.028 2.705737 45.12864 + 530 | 11.48825 9.442435 1.22 0.228 -7.339433 30.31593 + 599 | 27.00701 10.44721 2.59 0.012 6.175864 47.83816 + 600 | -14.87813 11.18428 -1.33 0.188 -37.17895 7.422678 + 601 | 1.956865 10.28238 0.19 0.850 -18.54561 22.45934 + 602 | -3.678492 11.32752 -0.32 0.746 -26.26492 18.90794 + 603 | 5.201872 11.97267 0.43 0.665 -18.67095 29.07469 + 604 | -10.70726 9.28973 -1.15 0.253 -29.23046 7.815934 + 606 | 1.95315 10.02062 0.19 0.846 -18.0274 21.9337 + 607 | 9.293708 12.41642 0.75 0.457 -15.46393 34.05134 + 609 | 2.685323 9.330419 0.29 0.774 -15.919 21.28965 + 699 | -12.97306 9.986016 -1.30 0.198 -32.88461 6.938488 + 1202 | 3.199065 10.56152 0.30 0.763 -17.86 24.25813 + 1203 | 13.99424 11.98948 1.17 0.247 -9.912113 37.90059 + 1204 | 19.50668 10.21899 1.91 0.060 -.8694147 39.88278 + 1205 | 18.92319 12.35291 1.53 0.130 -5.707807 43.55419 + 1206 | 16.80224 25.67067 0.65 0.515 -34.38363 67.9881 + 1207 | 13.05657 12.39594 1.05 0.296 -11.66024 37.77338 + 1208 | 15.30106 21.22461 0.72 0.473 -27.01962 57.62173 + 1209 | 15.29563 9.440472 1.62 0.110 -3.528141 34.11939 + 1210 | 6.65481 9.396187 0.71 0.481 -12.08065 25.39027 + 1211 | .6838601 9.157345 0.07 0.941 -17.57537 18.94309 + 1300 | -12.23263 31.9974 -0.38 0.703 -76.03362 51.56837 + 1302 | 61.37646 9.155021 6.70 0.000 43.12187 79.63106 + 1303 | 28.10172 9.538465 2.95 0.004 9.082565 47.12088 + 1304 | 34.87209 15.71452 2.22 0.030 3.538231 66.20594 + 1399 | -4.660334 13.96153 -0.33 0.740 -32.49883 23.17816 + | + house_administration | 1.946804 16.06326 0.12 0.904 -30.08243 33.97604 + house_agriculture | 15.36556 29.43776 0.52 0.603 -43.33168 74.06279 + house_appropriations | -13.55357 10.41276 -1.30 0.197 -34.31603 7.208887 + house_armedservices | -13.02491 9.09482 -1.43 0.156 -31.15946 5.10965 + house_budget | 19.34227 15.48764 1.25 0.216 -11.53921 50.22375 + house_dc | 0 (omitted) + house_educlabor | 9.988811 8.588727 1.16 0.249 -7.136624 27.11425 + house_energycommerce | 1.843301 6.161852 0.30 0.766 -10.44308 14.12968 + house_foreignaffairs | 9.712559 14.85986 0.65 0.515 -19.91716 39.34228 + house_governmentop | 14.21863 16.9915 0.84 0.406 -19.66145 48.09871 + house_intelligence | 72.04538 13.49788 5.34 0.000 45.13138 98.95938 + house_interior | 0 (omitted) + house_judiciary | -7.25308 6.138176 -1.18 0.241 -19.49226 4.986096 + house_mmf | 0 (omitted) + house_pocs | 0 (omitted) + house_pwt | -9.245741 22.32558 -0.41 0.680 -53.76168 35.2702 + house_rules | -28.06087 12.96233 -2.16 0.034 -53.90703 -2.214722 + house_sst | 0 (omitted) + house_smallbusi | 0 (omitted) + house_soc | 0 (omitted) + house_veterans | 1.107823 8.707767 0.13 0.899 -16.25497 18.47062 + house_waysandmeans | -3.742913 7.386192 -0.51 0.614 -18.47056 10.98474 +house_naturalresources | 0 (omitted) + house_bfs | 16.62034 12.74882 1.30 0.197 -8.800079 42.04076 + house_eeo | -3.529572 10.97806 -0.32 0.749 -25.41921 18.36006 + house_govreform | -6.078443 8.206569 -0.74 0.461 -22.44188 10.28499 + house_ir | 0 (omitted) + house_natsecur | 0 (omitted) + house_oversight | 8.582255 17.08137 0.50 0.617 -25.47702 42.64153 + house_resources | 0 (omitted) + house_science | 0 (omitted) + house_transp | -1.486977 21.75955 -0.07 0.946 -44.8743 41.90034 + house_homeland | 0 (omitted) + _cons | 21.5945 13.84896 1.56 0.123 -6.019537 49.20854 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 25 1 0 1 1 + + +j = 4 k = 1 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11989 +----------------------+---------------------- NN matches = 3 + Number of obs | 6150 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 15.71586 27.17455 .5783301 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(6,677 missing values generated) +(54,574 missing values generated) +(47,897 real changes made) +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* [aw=wt] if tag_bill==1 & women_friend1==1, robust cluster(group_sponsor) +(sum of wgt is 42,752.9832282066) +note: house_soc omitted because of collinearity + +Linear regression Number of obs = 18,135 + F(113, 3727) = 9.77 + Prob > F = 0.0000 + R-squared = 0.1015 + Root MSE = 22.769 + + (Std. Err. adjusted for 3,728 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 3.080931 1.242134 2.48 0.013 .6456023 5.51626 + | + v2 | + 102 | 2.645923 7.268842 0.36 0.716 -11.60537 16.89722 + 103 | -6.89407 3.535697 -1.95 0.051 -13.82616 .0380198 + 104 | -6.236626 3.801133 -1.64 0.101 -13.68913 1.215879 + 105 | -4.567816 3.808126 -1.20 0.230 -12.03403 2.898397 + 106 | -1.73277 4.098892 -0.42 0.673 -9.769061 6.303522 + 107 | -3.041443 3.762367 -0.81 0.419 -10.41794 4.335057 + 108 | -4.957429 3.685407 -1.35 0.179 -12.18304 2.268183 + 109 | -5.060413 3.549404 -1.43 0.154 -12.01938 1.898551 + 110 | -8.60101 3.316854 -2.59 0.010 -15.10404 -2.097984 + 111 | -10.93623 3.387359 -3.23 0.001 -17.57748 -4.294967 + | + minor | + 201 | -8.605487 3.054845 -2.82 0.005 -14.59482 -2.616155 + 202 | 2.576289 6.165882 0.42 0.676 -9.512543 14.66512 + 204 | 2.983528 4.66966 0.64 0.523 -6.17181 12.13887 + 205 | 6.155037 4.908488 1.25 0.210 -3.468549 15.77862 + 206 | -2.168458 4.253836 -0.51 0.610 -10.50853 6.171615 + 207 | -1.598915 3.295068 -0.49 0.628 -8.059227 4.861397 + 208 | 1.485926 3.633372 0.41 0.683 -5.637667 8.609518 + 209 | -8.593399 3.158411 -2.72 0.007 -14.78578 -2.401016 + 299 | 12.07432 10.16194 1.19 0.235 -7.849176 31.99782 + 300 | 10.92017 5.239356 2.08 0.037 .6478882 21.19246 + 301 | 6.679475 4.28547 1.56 0.119 -1.72262 15.08157 + 302 | 8.793008 3.882869 2.26 0.024 1.180252 16.40576 + 321 | 12.2398 4.075063 3.00 0.003 4.250232 20.22937 + 322 | 9.434704 5.575188 1.69 0.091 -1.496015 20.36542 + 323 | 10.07507 4.56179 2.21 0.027 1.131219 19.01892 + 324 | -.4656897 4.459836 -0.10 0.917 -9.209647 8.278268 + 325 | 6.741429 4.61754 1.46 0.144 -2.311723 15.79458 + 331 | 16.83714 4.101068 4.11 0.000 8.796579 24.87769 + 332 | 9.450754 4.241683 2.23 0.026 1.134508 17.767 + 333 | 11.13187 5.181676 2.15 0.032 .9726749 21.29107 + 334 | 16.30717 5.296569 3.08 0.002 5.922712 26.69162 + 335 | 6.344048 6.105952 1.04 0.299 -5.627286 18.31538 + 336 | 12.10278 4.11202 2.94 0.003 4.040745 20.16481 + 341 | 4.057748 4.2825 0.95 0.343 -4.338524 12.45402 + 342 | 7.184247 7.875688 0.91 0.362 -8.256832 22.62533 + 343 | 2.093989 4.527742 0.46 0.644 -6.783105 10.97108 + 344 | -2.878653 6.002402 -0.48 0.632 -14.64697 8.889661 + 398 | 13.97602 6.197531 2.26 0.024 1.825139 26.1269 + 399 | 6.24651 5.663887 1.10 0.270 -4.858111 17.35113 + 500 | -11.29676 7.664322 -1.47 0.141 -26.32344 3.729916 + 501 | -2.877913 3.249677 -0.89 0.376 -9.249231 3.493406 + 502 | 5.466945 4.871307 1.12 0.262 -4.083742 15.01763 + 503 | 1.323882 3.139429 0.42 0.673 -4.831286 7.479049 + 504 | 3.018824 6.767615 0.45 0.656 -10.24977 16.28741 + 505 | -6.60052 3.560868 -1.85 0.064 -13.58196 .3809191 + 506 | -3.049659 3.525851 -0.86 0.387 -9.962444 3.863127 + 508 | 1.146938 3.386583 0.34 0.735 -5.492798 7.786675 + 529 | 23.71575 6.141258 3.86 0.000 11.67519 35.7563 + 530 | 2.041636 3.102338 0.66 0.511 -4.04081 8.124082 + 599 | -7.148499 4.777651 -1.50 0.135 -16.51556 2.218567 + 600 | 1.810743 4.161676 0.44 0.664 -6.348641 9.970127 + 601 | 5.825523 3.178477 1.83 0.067 -.4062022 12.05725 + 602 | 4.481163 3.55853 1.26 0.208 -2.495694 11.45802 + 603 | 3.529944 4.141998 0.85 0.394 -4.59086 11.65075 + 604 | -5.176501 5.218773 -0.99 0.321 -15.40843 5.05543 + 606 | .4591105 3.675975 0.12 0.901 -6.748009 7.66623 + 607 | 6.434076 5.031875 1.28 0.201 -3.431422 16.29957 + 609 | 3.070406 4.219648 0.73 0.467 -5.202639 11.34345 + 698 | -3.751685 5.320633 -0.71 0.481 -14.18332 6.679953 + 699 | -1.369601 3.685019 -0.37 0.710 -8.594452 5.85525 + 1200 | -.2841603 4.400166 -0.06 0.949 -8.911129 8.342808 + 1201 | 6.517225 3.702476 1.76 0.078 -.7418516 13.7763 + 1202 | 8.459713 4.150639 2.04 0.042 .3219674 16.59746 + 1203 | 2.043837 2.95737 0.69 0.490 -3.754384 7.842058 + 1204 | 9.037736 3.89363 2.32 0.020 1.403881 16.67159 + 1205 | 4.746611 4.231122 1.12 0.262 -3.54893 13.04215 + 1206 | 5.820173 4.567413 1.27 0.203 -3.1347 14.77505 + 1207 | 8.235893 3.346406 2.46 0.014 1.674927 14.79686 + 1208 | 13.11706 4.011703 3.27 0.001 5.251709 20.9824 + 1209 | 2.961316 3.156964 0.94 0.348 -3.228231 9.150862 + 1210 | 4.214117 3.38908 1.24 0.214 -2.430516 10.85875 + 1211 | 2.778808 3.529086 0.79 0.431 -4.140321 9.697937 + 1299 | 6.815518 6.555366 1.04 0.299 -6.036937 19.66797 + 1300 | 4.680481 5.818609 0.80 0.421 -6.727489 16.08845 + 1301 | 6.605437 4.564024 1.45 0.148 -2.342791 15.55367 + 1302 | .0450387 3.987804 0.01 0.991 -7.773453 7.863531 + 1303 | 10.85423 8.268912 1.31 0.189 -5.357803 27.06627 + 1304 | 8.039743 4.439908 1.81 0.070 -.6651443 16.74463 + 1305 | 4.411355 4.138425 1.07 0.287 -3.702443 12.52515 + 1399 | -.6489941 5.162833 -0.13 0.900 -10.77125 9.473261 + | + house_administration | -5.929883 2.804117 -2.11 0.035 -11.42764 -.4321285 + house_agriculture | -1.390812 2.453013 -0.57 0.571 -6.200192 3.418567 + house_appropriations | 5.494206 6.832962 0.80 0.421 -7.902504 18.89091 + house_armedservices | -3.720927 1.778768 -2.09 0.037 -7.208381 -.2334733 + house_budget | -4.403657 3.841885 -1.15 0.252 -11.93606 3.128745 + house_dc | 5.527473 8.182611 0.68 0.499 -10.51536 21.57031 + house_educlabor | -1.170775 2.234568 -0.52 0.600 -5.551871 3.210321 + house_energycommerce | .9012198 1.628588 0.55 0.580 -2.29179 4.09423 + house_foreignaffairs | 8.061874 6.480898 1.24 0.214 -4.644579 20.76833 + house_governmentop | -11.33709 3.19041 -3.55 0.000 -17.59221 -5.081967 + house_intelligence | 4.489651 3.0582 1.47 0.142 -1.506258 10.48556 + house_interior | 2.573277 5.139121 0.50 0.617 -7.502488 12.64904 + house_judiciary | -1.932257 1.144982 -1.69 0.092 -4.177109 .3125949 + house_mmf | 9.140885 6.177937 1.48 0.139 -2.971582 21.25335 + house_pocs | -10.11754 2.974173 -3.40 0.001 -15.94871 -4.286378 + house_pwt | -11.19185 5.720782 -1.96 0.050 -22.40802 .0243209 + house_rules | -2.074098 2.684149 -0.77 0.440 -7.336643 3.188446 + house_sst | 10.97971 4.873758 2.25 0.024 1.424217 20.5352 + house_smallbusi | 3.538379 3.361257 1.05 0.293 -3.051704 10.12846 + house_soc | 0 (omitted) + house_veterans | -2.736344 2.04851 -1.34 0.182 -6.752654 1.279966 + house_waysandmeans | -2.924482 1.61819 -1.81 0.071 -6.097106 .2481417 +house_naturalresources | -2.299791 3.127835 -0.74 0.462 -8.432226 3.832643 + house_bfs | 1.421881 2.366834 0.60 0.548 -3.218535 6.062297 + house_eeo | 2.413318 3.517695 0.69 0.493 -4.483478 9.310113 + house_govreform | 1.23332 2.063782 0.60 0.550 -2.812932 5.279572 + house_ir | 2.061348 4.888411 0.42 0.673 -7.522875 11.64557 + house_natsecur | 2.466538 4.234716 0.58 0.560 -5.836049 10.76912 + house_oversight | .38862 3.045168 0.13 0.898 -5.581739 6.358979 + house_resources | -5.699394 3.377945 -1.69 0.092 -12.32219 .923406 + house_science | -3.262502 2.543238 -1.28 0.200 -8.248776 1.723771 + house_transp | -1.554542 2.991277 -0.52 0.603 -7.419241 4.310157 + house_homeland | .8627869 1.822343 0.47 0.636 -2.710099 4.435673 + _cons | 15.17259 4.249028 3.57 0.000 6.841942 23.50324 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,382 1 0 1 1 + + +j = 4 k = 2 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6186 +----------------------+---------------------- NN matches = 3 + Number of obs | 2192 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 24.47749 44.63704 .5483673 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(6,677 missing values generated) +(54,574 missing values generated) +(47,897 real changes made) +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==100 & tag_bill==1 & women_friend1==1, robust cluster(group_sponsor) +(sum of wgt is 23,429.0291311741) +note: house_soc omitted because of collinearity + +Linear regression Number of obs = 10,316 + F(113, 1961) = 12.20 + Prob > F = 0.0000 + R-squared = 0.1310 + Root MSE = 14.882 + + (Std. Err. adjusted for 1,962 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -.4437439 .6525834 -0.68 0.497 -1.723574 .836086 + | + v2 | + 102 | -2.559776 1.368976 -1.87 0.062 -5.244578 .1250257 + 103 | -3.239309 1.433177 -2.26 0.024 -6.050018 -.428599 + 104 | -4.122358 2.613865 -1.58 0.115 -9.248603 1.003886 + 105 | -5.728191 1.545146 -3.71 0.000 -8.758492 -2.697891 + 106 | -6.65733 1.512889 -4.40 0.000 -9.624369 -3.69029 + 107 | -6.16569 1.381109 -4.46 0.000 -8.874286 -3.457094 + 108 | -8.185433 1.30311 -6.28 0.000 -10.74106 -5.629806 + 109 | -6.805429 1.351566 -5.04 0.000 -9.456086 -4.154773 + 110 | -2.339297 1.511906 -1.55 0.122 -5.304409 .625815 + 111 | -4.200022 1.479513 -2.84 0.005 -7.101606 -1.298439 + | + minor | + 201 | -5.478598 1.798316 -3.05 0.002 -9.00541 -1.951786 + 202 | .0082388 2.050414 0.00 0.997 -4.012981 4.029459 + 204 | 7.609182 3.894349 1.95 0.051 -.0283159 15.24668 + 205 | 11.31897 4.331944 2.61 0.009 2.823276 19.81467 + 206 | -3.811097 1.890311 -2.02 0.044 -7.518328 -.1038668 + 207 | 5.351385 2.449613 2.18 0.029 .5472671 10.1555 + 208 | 2.499716 1.921326 1.30 0.193 -1.268339 6.267772 + 209 | -8.583802 2.439213 -3.52 0.000 -13.36752 -3.800081 + 299 | -.7643009 6.724625 -0.11 0.910 -13.95246 12.42386 + 300 | 7.190096 4.862006 1.48 0.139 -2.345145 16.72534 + 301 | 7.019531 2.989884 2.35 0.019 1.155848 12.88321 + 302 | 7.190202 2.460098 2.92 0.004 2.36552 12.01488 + 321 | 5.629178 2.15837 2.61 0.009 1.396237 9.862119 + 322 | 2.914546 1.964034 1.48 0.138 -.9372665 6.766359 + 323 | 7.998148 3.52871 2.27 0.024 1.077732 14.91856 + 324 | 2.467046 2.215654 1.11 0.266 -1.878238 6.81233 + 325 | 7.41838 2.814939 2.64 0.008 1.897793 12.93897 + 331 | 10.69068 2.446192 4.37 0.000 5.89327 15.48809 + 332 | 3.264245 1.81619 1.80 0.072 -.2976194 6.82611 + 333 | 2.304627 2.153718 1.07 0.285 -1.919188 6.528443 + 334 | 9.407227 2.927613 3.21 0.001 3.665666 15.14879 + 335 | 2.555133 2.246269 1.14 0.255 -1.850193 6.960459 + 336 | 9.254005 2.400319 3.86 0.000 4.546561 13.96145 + 341 | 3.116214 2.076491 1.50 0.134 -.9561462 7.188574 + 342 | 5.306348 3.308824 1.60 0.109 -1.182832 11.79553 + 343 | 3.875088 3.60989 1.07 0.283 -3.204536 10.95471 + 344 | -1.430139 3.467962 -0.41 0.680 -8.231417 5.371139 + 398 | 6.681744 2.108715 3.17 0.002 2.546187 10.8173 + 399 | 4.990009 2.576488 1.94 0.053 -.0629342 10.04295 + 500 | -2.315663 1.91599 -1.21 0.227 -6.073254 1.441928 + 501 | 1.249846 1.859513 0.67 0.502 -2.396984 4.896676 + 502 | .4642437 1.912946 0.24 0.808 -3.287377 4.215865 + 503 | 1.136249 1.530666 0.74 0.458 -1.865655 4.138152 + 504 | -1.52882 1.723284 -0.89 0.375 -4.90848 1.85084 + 505 | 3.412208 2.229724 1.53 0.126 -.9606697 7.785086 + 506 | .0809618 2.128578 0.04 0.970 -4.093551 4.255474 + 508 | 2.799365 2.240119 1.25 0.212 -1.593899 7.192629 + 529 | 37.76705 3.863882 9.77 0.000 30.1893 45.3448 + 530 | 4.089922 1.689913 2.42 0.016 .7757074 7.404136 + 599 | -1.184669 3.731555 -0.32 0.751 -8.502899 6.133562 + 600 | 9.736836 5.731623 1.70 0.090 -1.503878 20.97755 + 601 | 6.727673 2.200098 3.06 0.002 2.412896 11.04245 + 602 | 2.044812 1.632469 1.25 0.211 -1.156744 5.246368 + 603 | 2.939915 2.453365 1.20 0.231 -1.871561 7.751391 + 604 | 1.073545 3.51248 0.31 0.760 -5.815042 7.962132 + 606 | 4.170373 2.52623 1.65 0.099 -.7840055 9.124751 + 607 | 3.481379 2.14582 1.62 0.105 -.7269485 7.689706 + 609 | 1.012777 3.356203 0.30 0.763 -5.569324 7.594877 + 698 | 4.643287 3.950581 1.18 0.240 -3.104491 12.39107 + 699 | 3.714103 2.535316 1.46 0.143 -1.258094 8.686301 + 1200 | 3.450277 2.901567 1.19 0.235 -2.240202 9.140756 + 1201 | 7.855049 3.291449 2.39 0.017 1.399944 14.31015 + 1202 | 11.32934 3.501998 3.24 0.001 4.461313 18.19737 + 1203 | 5.682818 2.671573 2.13 0.034 .443396 10.92224 + 1204 | 19.12791 6.23562 3.07 0.002 6.898773 31.35705 + 1205 | 12.90259 5.689359 2.27 0.023 1.744762 24.06041 + 1206 | 1.712074 2.272451 0.75 0.451 -2.744598 6.168746 + 1207 | 7.121996 2.793979 2.55 0.011 1.642515 12.60148 + 1208 | 3.719732 1.985626 1.87 0.061 -.1744274 7.613892 + 1209 | 2.048603 1.924647 1.06 0.287 -1.725966 5.823172 + 1210 | 4.336074 2.273708 1.91 0.057 -.1230639 8.795212 + 1211 | 3.016295 2.153271 1.40 0.161 -1.206646 7.239235 + 1299 | 3.528569 4.525181 0.78 0.436 -5.346101 12.40324 + 1300 | .253513 2.003996 0.13 0.899 -3.676673 4.183699 + 1301 | 4.733343 3.776289 1.25 0.210 -2.672619 12.13931 + 1302 | -1.995751 1.694705 -1.18 0.239 -5.319364 1.327862 + 1303 | -1.188538 2.889533 -0.41 0.681 -6.855417 4.478341 + 1304 | 1.853249 2.060926 0.90 0.369 -2.188587 5.895085 + 1305 | 2.271964 2.089351 1.09 0.277 -1.825617 6.369546 + 1399 | -1.24403 4.524132 -0.27 0.783 -10.11664 7.628582 + | + house_administration | -.5181459 1.357067 -0.38 0.703 -3.179591 2.143299 + house_agriculture | -.7099095 1.59884 -0.44 0.657 -3.845513 2.425695 + house_appropriations | -1.806929 4.682226 -0.39 0.700 -10.98959 7.375733 + house_armedservices | -.7676507 1.29112 -0.59 0.552 -3.299762 1.76446 + house_budget | -3.444708 1.983048 -1.74 0.083 -7.333812 .4443955 + house_dc | -6.113772 5.322518 -1.15 0.251 -16.55216 4.324615 + house_educlabor | -3.61653 .8158218 -4.43 0.000 -5.216498 -2.016561 + house_energycommerce | -2.151399 1.021529 -2.11 0.035 -4.154796 -.1480022 + house_foreignaffairs | .992021 2.701714 0.37 0.714 -4.30651 6.290553 + house_governmentop | -5.555246 1.641182 -3.38 0.001 -8.77389 -2.336601 + house_intelligence | 8.121421 3.598996 2.26 0.024 1.063161 15.17968 + house_interior | -2.711657 3.224665 -0.84 0.401 -9.035789 3.612474 + house_judiciary | -.9440482 .9276958 -1.02 0.309 -2.763421 .8753251 + house_mmf | 14.45153 8.139518 1.78 0.076 -1.511485 30.41455 + house_pocs | -4.37099 1.289568 -3.39 0.001 -6.900059 -1.841922 + house_pwt | 2.002701 3.24348 0.62 0.537 -4.35833 8.363731 + house_rules | 4.988716 3.248281 1.54 0.125 -1.38173 11.35916 + house_sst | 22.10571 4.338577 5.10 0.000 13.597 30.61441 + house_smallbusi | 2.814041 2.691004 1.05 0.296 -2.463487 8.091569 + house_soc | 0 (omitted) + house_veterans | -1.664871 1.653487 -1.01 0.314 -4.907647 1.577905 + house_waysandmeans | -.1664385 .875032 -0.19 0.849 -1.882529 1.549652 +house_naturalresources | .6637223 2.750161 0.24 0.809 -4.729823 6.057267 + house_bfs | -.9576903 1.086366 -0.88 0.378 -3.088243 1.172863 + house_eeo | 1.88528 3.271268 0.58 0.564 -4.530247 8.300808 + house_govreform | -.4914836 1.08726 -0.45 0.651 -2.62379 1.640823 + house_ir | .8700596 2.197686 0.40 0.692 -3.439985 5.180104 + house_natsecur | .8370441 2.610709 0.32 0.749 -4.283011 5.957099 + house_oversight | -2.877214 1.47593 -1.95 0.051 -5.771771 .0173421 + house_resources | -2.388287 2.425422 -0.98 0.325 -7.144962 2.368389 + house_science | -3.843296 1.625664 -2.36 0.018 -7.031507 -.6550843 + house_transp | -3.0563 .9789669 -3.12 0.002 -4.976225 -1.136375 + house_homeland | 2.270501 2.699846 0.84 0.400 -3.024368 7.56537 + _cons | 12.03315 1.933475 6.22 0.000 8.24127 15.82503 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 754 1 0 1 1 + + +j = 4 k = 3 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 11.12081 18.1168 .6138395 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(6,677 missing values generated) +(54,574 missing values generated) +(47,897 real changes made) +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==200 & tag_bill==1 & women_friend1==1, robust cluster(group_sponsor) +(sum of wgt is 17,725.7087850571) +note: house_soc omitted because of collinearity + +Linear regression Number of obs = 7,810 + F(112, 1761) = . + Prob > F = . + R-squared = 0.2258 + Root MSE = 24.084 + + (Std. Err. adjusted for 1,762 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 6.398443 1.077518 5.94 0.000 4.285094 8.511792 + | + v2 | + 102 | 7.100733 4.957721 1.43 0.152 -2.622905 16.82437 + 103 | -4.427386 3.266058 -1.36 0.175 -10.83315 1.978373 + 104 | -5.415476 2.398612 -2.26 0.024 -10.1199 -.7110486 + 105 | .8665867 2.420014 0.36 0.720 -3.879816 5.612989 + 106 | 3.623364 2.19984 1.65 0.100 -.6912083 7.937937 + 107 | 2.08867 2.253454 0.93 0.354 -2.331056 6.508396 + 108 | .0032574 2.670604 0.00 0.999 -5.234631 5.241146 + 109 | -3.1717 2.128501 -1.49 0.136 -7.346354 1.002955 + 110 | -11.32641 2.290893 -4.94 0.000 -15.81957 -6.833255 + 111 | -10.26102 2.378994 -4.31 0.000 -14.92696 -5.595066 + | + minor | + 201 | -6.561993 15.73457 -0.42 0.677 -37.42239 24.29841 + 202 | -5.689026 12.24165 -0.46 0.642 -29.69871 18.32066 + 204 | -6.42499 10.96358 -0.59 0.558 -27.928 15.07802 + 205 | -2.051932 10.71151 -0.19 0.848 -23.06055 18.95669 + 206 | -8.634623 7.744191 -1.11 0.265 -23.8234 6.554152 + 207 | -18.05591 6.846426 -2.64 0.008 -31.48389 -4.627937 + 208 | -8.30865 7.531419 -1.10 0.270 -23.08011 6.462812 + 209 | -18.53013 6.554755 -2.83 0.005 -31.38605 -5.674206 + 299 | 8.820533 14.47304 0.61 0.542 -19.56561 37.20668 + 300 | 1.473258 10.34638 0.14 0.887 -18.81922 21.76574 + 301 | -2.307578 8.097378 -0.28 0.776 -18.18906 13.57391 + 302 | -.1819561 7.499477 -0.02 0.981 -14.89077 14.52686 + 321 | 5.971826 8.073724 0.74 0.460 -9.863266 21.80692 + 322 | 6.518496 8.052833 0.81 0.418 -9.275623 22.31261 + 323 | 3.017907 8.670438 0.35 0.728 -13.98753 20.02334 + 324 | -15.68711 7.895639 -1.99 0.047 -31.17292 -.2012945 + 325 | 4.106998 8.89368 0.46 0.644 -13.33628 21.55028 + 331 | 18.96371 7.853142 2.41 0.016 3.561243 34.36617 + 332 | 14.66829 8.298194 1.77 0.077 -1.607056 30.94364 + 333 | 20.65271 9.285058 2.22 0.026 2.441811 38.8636 + 334 | 8.902251 8.639652 1.03 0.303 -8.042803 25.8473 + 335 | -1.130959 10.34896 -0.11 0.913 -21.4285 19.16658 + 336 | 11.49053 8.332306 1.38 0.168 -4.851724 27.83278 + 341 | 4.300461 10.80969 0.40 0.691 -16.90072 25.50164 + 342 | 12.44679 15.85292 0.79 0.432 -18.64573 43.5393 + 343 | -4.215506 9.265329 -0.45 0.649 -22.38771 13.9567 + 344 | 25.63444 12.40565 2.07 0.039 1.303095 49.96579 + 398 | 10.04079 8.791277 1.14 0.254 -7.201652 27.28322 + 399 | .8363273 9.446552 0.09 0.929 -17.69131 19.36396 + 500 | -12.67747 11.46451 -1.11 0.269 -35.16295 9.808015 + 501 | -16.90763 7.784373 -2.17 0.030 -32.17522 -1.640047 + 502 | 4.434917 9.840331 0.45 0.652 -14.86504 23.73488 + 503 | -6.69173 7.756756 -0.86 0.388 -21.90515 8.521688 + 504 | 2.647013 11.58556 0.23 0.819 -20.07589 25.36991 + 505 | -20.77637 7.282173 -2.85 0.004 -35.05898 -6.493757 + 506 | -11.81243 8.918904 -1.32 0.186 -29.30518 5.680326 + 508 | -.4787222 7.40795 -0.06 0.948 -15.00802 14.05058 + 529 | -2.298961 7.903098 -0.29 0.771 -17.7994 13.20148 + 530 | -5.382148 6.695452 -0.80 0.422 -18.51402 7.749722 + 599 | -17.72246 9.775821 -1.81 0.070 -36.89589 1.450977 + 600 | -12.15476 7.344509 -1.65 0.098 -26.55963 2.250119 + 601 | 1.863772 8.017588 0.23 0.816 -13.86122 17.58876 + 602 | .2526749 7.466514 0.03 0.973 -14.39149 14.89684 + 603 | 14.91654 10.60137 1.41 0.160 -5.876061 35.70914 + 604 | -12.39592 11.74479 -1.06 0.291 -35.43112 10.63927 + 606 | -2.56806 8.16497 -0.31 0.753 -18.58211 13.44599 + 607 | 1.747381 8.620973 0.20 0.839 -15.16104 18.6558 + 609 | -4.836244 8.938904 -0.54 0.589 -22.36822 12.69574 + 698 | -18.22417 12.04904 -1.51 0.131 -41.85611 5.407762 + 699 | -14.2421 8.478527 -1.68 0.093 -30.87114 2.386934 + 1200 | -12.10366 11.11473 -1.09 0.276 -33.90312 9.695797 + 1201 | 1.149805 7.185342 0.16 0.873 -12.94289 15.2425 + 1202 | -2.081804 7.659473 -0.27 0.786 -17.10442 12.94081 + 1203 | -10.40759 6.395128 -1.63 0.104 -22.95043 2.135254 + 1204 | -7.42186 6.791784 -1.09 0.275 -20.74267 5.898947 + 1205 | -13.47628 8.146713 -1.65 0.098 -29.45452 2.501972 + 1206 | 1.305281 7.902623 0.17 0.869 -14.19423 16.80479 + 1207 | -1.857069 7.191128 -0.26 0.796 -15.96111 12.24698 + 1208 | 4.492836 7.84948 0.57 0.567 -10.90244 19.88811 + 1209 | -.4354974 6.91182 -0.06 0.950 -13.99173 13.12074 + 1210 | -7.799551 6.643186 -1.17 0.241 -20.82891 5.22981 + 1211 | -.8067404 7.17002 -0.11 0.910 -14.86939 13.25591 + 1299 | 7.92203 8.071734 0.98 0.327 -7.909158 23.75322 + 1300 | -2.48372 10.07627 -0.25 0.805 -22.24643 17.27899 + 1301 | 23.04049 9.339579 2.47 0.014 4.722667 41.35832 + 1302 | -9.792841 8.970058 -1.09 0.275 -27.38592 7.800241 + 1303 | 2.172093 8.012651 0.27 0.786 -13.54322 17.8874 + 1304 | 9.991057 8.820568 1.13 0.257 -7.308828 27.29094 + 1305 | -6.689324 12.77441 -0.52 0.601 -31.74393 18.36528 + 1399 | -9.060402 9.964115 -0.91 0.363 -28.60314 10.48234 + | + house_administration | -3.642329 5.495462 -0.66 0.508 -14.42065 7.135987 + house_agriculture | -1.627562 5.185908 -0.31 0.754 -11.79875 8.543622 + house_appropriations | -2.525308 7.163565 -0.35 0.724 -16.57529 11.52468 + house_armedservices | -5.612364 6.041293 -0.93 0.353 -17.46122 6.236497 + house_budget | 1.197569 5.715689 0.21 0.834 -10.01268 12.40782 + house_dc | 14.22978 12.32473 1.15 0.248 -9.942856 38.40241 + house_educlabor | -.1122899 2.248905 -0.05 0.960 -4.523094 4.298514 + house_energycommerce | 8.626308 2.145442 4.02 0.000 4.418428 12.83419 + house_foreignaffairs | 11.06613 6.846271 1.62 0.106 -2.361541 24.49381 + house_governmentop | -3.604387 3.984168 -0.90 0.366 -11.41858 4.209809 + house_intelligence | 8.042399 9.946657 0.81 0.419 -11.4661 27.5509 + house_interior | 21.7094 15.04023 1.44 0.149 -7.789189 51.20798 + house_judiciary | -2.106539 2.206382 -0.95 0.340 -6.433943 2.220865 + house_mmf | 4.48582 6.72676 0.67 0.505 -8.707455 17.67909 + house_pocs | -5.517873 4.058621 -1.36 0.174 -13.4781 2.442349 + house_pwt | -26.1026 8.266043 -3.16 0.002 -42.31489 -9.890315 + house_rules | -8.169179 3.775859 -2.16 0.031 -15.57482 -.7635418 + house_sst | -2.708253 12.91859 -0.21 0.834 -28.04563 22.62913 + house_smallbusi | 10.38663 7.646394 1.36 0.175 -4.610333 25.3836 + house_soc | 0 (omitted) + house_veterans | .1725459 3.03122 0.06 0.955 -5.772621 6.117713 + house_waysandmeans | -5.854886 1.717516 -3.41 0.001 -9.223471 -2.486301 +house_naturalresources | -2.343424 7.247654 -0.32 0.746 -16.55833 11.87149 + house_bfs | -1.510524 4.001158 -0.38 0.706 -9.358044 6.336996 + house_eeo | 1.141958 3.856096 0.30 0.767 -6.42105 8.704965 + house_govreform | .3172027 3.13556 0.10 0.919 -5.832608 6.467014 + house_ir | -7.042628 8.011272 -0.88 0.379 -22.75523 8.669976 + house_natsecur | 9.61382 6.022017 1.60 0.111 -2.197234 21.42487 + house_oversight | 3.192424 4.52924 0.70 0.481 -5.690828 12.07568 + house_resources | -4.534469 4.762899 -0.95 0.341 -13.876 4.807062 + house_science | 3.750011 5.371647 0.70 0.485 -6.785465 14.28549 + house_transp | 6.40467 6.391331 1.00 0.316 -6.130724 18.94006 + house_homeland | -4.054962 2.174737 -1.86 0.062 -8.3203 .2103768 + _cons | 23.80836 6.801611 3.50 0.000 10.46828 37.14845 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 625 1 0 1 1 + + +j = 5 k = 1 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11989 +----------------------+---------------------- NN matches = 3 + Number of obs | 6150 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 15.71586 27.17455 .5783301 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(7,341 missing values generated) +(54,749 missing values generated) +(47,408 real changes made) +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* [aw=wt] if tag_bill==1 & women_friend1==1, robust cluster(group_sponsor) +(sum of wgt is 41,192.5328618288) +note: house_soc omitted because of collinearity + +Linear regression Number of obs = 17,972 + F(113, 3689) = 11.44 + Prob > F = 0.0000 + R-squared = 0.1248 + Root MSE = 22.108 + + (Std. Err. adjusted for 3,690 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 3.002637 1.511175 1.99 0.047 .0398155 5.965459 + | + v2 | + 102 | .6374986 8.569516 0.07 0.941 -16.16396 17.43895 + 103 | -7.324759 4.598248 -1.59 0.111 -16.34012 1.690599 + 104 | -8.200787 4.634612 -1.77 0.077 -17.28744 .8858663 + 105 | -6.283388 4.445501 -1.41 0.158 -14.99927 2.432493 + 106 | -5.047412 4.814047 -1.05 0.294 -14.48587 4.391044 + 107 | -4.755412 4.751024 -1.00 0.317 -14.0703 4.55948 + 108 | -5.706504 4.718546 -1.21 0.227 -14.95772 3.544711 + 109 | -5.9219 4.553924 -1.30 0.194 -14.85036 3.006556 + 110 | -8.61784 4.554765 -1.89 0.059 -17.54794 .3122641 + 111 | -12.33004 4.55879 -2.70 0.007 -21.26804 -3.392046 + | + minor | + 201 | -9.933104 3.237339 -3.07 0.002 -16.28026 -3.585954 + 202 | -1.647798 4.701344 -0.35 0.726 -10.86529 7.569692 + 204 | -5.539433 5.494875 -1.01 0.313 -16.31272 5.233858 + 205 | 4.087645 6.873557 0.59 0.552 -9.388701 17.56399 + 206 | -3.725664 4.457713 -0.84 0.403 -12.46549 5.014159 + 207 | -1.350788 3.248135 -0.42 0.678 -7.719105 5.017529 + 208 | -.8548373 3.702122 -0.23 0.817 -8.113245 6.40357 + 209 | -9.791713 3.240139 -3.02 0.003 -16.14435 -3.439074 + 299 | 13.45207 11.14229 1.21 0.227 -8.393579 35.29772 + 300 | 6.740951 4.930388 1.37 0.172 -2.925604 16.40751 + 301 | 6.543928 4.975758 1.32 0.189 -3.211579 16.29943 + 302 | 6.207162 3.997534 1.55 0.121 -1.630432 14.04476 + 321 | 7.305733 4.371022 1.67 0.095 -1.264125 15.87559 + 322 | 10.68214 6.83295 1.56 0.118 -2.714592 24.07887 + 323 | 3.282066 5.288087 0.62 0.535 -7.085795 13.64993 + 324 | .0247453 4.387243 0.01 0.996 -8.576916 8.626406 + 325 | 4.332678 5.063537 0.86 0.392 -5.594929 14.26029 + 331 | 16.84966 5.181284 3.25 0.001 6.691193 27.00812 + 332 | 2.217682 4.463591 0.50 0.619 -6.533666 10.96903 + 333 | 9.875228 5.254883 1.88 0.060 -.4275341 20.17799 + 334 | 14.95494 6.876562 2.17 0.030 1.472707 28.43718 + 335 | 1.620079 5.294792 0.31 0.760 -8.760929 12.00109 + 336 | 7.164497 4.580412 1.56 0.118 -1.815892 16.14489 + 341 | 3.08429 4.519026 0.68 0.495 -5.775746 11.94433 + 342 | 6.478435 5.794689 1.12 0.264 -4.882674 17.83954 + 343 | 2.398162 4.567685 0.53 0.600 -6.557274 11.3536 + 344 | -4.384187 5.895226 -0.74 0.457 -15.94241 7.174035 + 398 | 10.06615 7.698591 1.31 0.191 -5.027768 25.16006 + 399 | 10.32673 5.847557 1.77 0.077 -1.138034 21.79149 + 500 | -15.53293 6.690765 -2.32 0.020 -28.65089 -2.414965 + 501 | -4.098703 3.292842 -1.24 0.213 -10.55467 2.357266 + 502 | -5.044422 5.199951 -0.97 0.332 -15.23948 5.150641 + 503 | -2.354377 3.140152 -0.75 0.453 -8.510981 3.802228 + 504 | -3.851276 5.07888 -0.76 0.448 -13.80896 6.106413 + 505 | -4.971632 3.583994 -1.39 0.165 -11.99844 2.055173 + 506 | -7.402009 3.714246 -1.99 0.046 -14.68419 -.1198313 + 508 | -.807766 3.701123 -0.22 0.827 -8.064214 6.448682 + 529 | 15.89952 5.493944 2.89 0.004 5.128051 26.67098 + 530 | 1.17502 3.151471 0.37 0.709 -5.003776 7.353817 + 599 | -5.280527 5.41745 -0.97 0.330 -15.90202 5.340966 + 600 | -1.778245 3.791774 -0.47 0.639 -9.212424 5.655934 + 601 | 3.857494 3.582678 1.08 0.282 -3.166729 10.88172 + 602 | 1.716527 4.920383 0.35 0.727 -7.930411 11.36347 + 603 | -2.71418 3.834593 -0.71 0.479 -10.23231 4.80395 + 604 | -4.267113 5.434697 -0.79 0.432 -14.92242 6.388193 + 606 | -3.836178 4.382041 -0.88 0.381 -12.42764 4.755283 + 607 | 4.473325 6.141002 0.73 0.466 -7.566768 16.51342 + 609 | 3.628711 4.241059 0.86 0.392 -4.68634 11.94376 + 698 | -3.032675 6.286615 -0.48 0.630 -15.35826 9.292908 + 699 | -1.994666 4.362936 -0.46 0.648 -10.54867 6.559338 + 1200 | .6682173 4.751221 0.14 0.888 -8.647061 9.983496 + 1201 | 5.755078 3.303964 1.74 0.082 -.7226981 12.23285 + 1202 | 8.134271 4.521973 1.80 0.072 -.7315426 17.00009 + 1203 | 3.104534 2.964405 1.05 0.295 -2.707501 8.916568 + 1204 | 11.87763 5.468797 2.17 0.030 1.155467 22.59979 + 1205 | 3.412793 4.017576 0.85 0.396 -4.464095 11.28968 + 1206 | 1.422671 4.084832 0.35 0.728 -6.586081 9.431422 + 1207 | 3.617814 3.774849 0.96 0.338 -3.783183 11.01881 + 1208 | 10.16308 4.433219 2.29 0.022 1.471282 18.85488 + 1209 | 3.433505 3.27062 1.05 0.294 -2.978897 9.845907 + 1210 | 3.709253 3.433291 1.08 0.280 -3.022082 10.44059 + 1211 | 2.167465 3.384851 0.64 0.522 -4.468899 8.803829 + 1299 | 1.40773 5.850521 0.24 0.810 -10.06284 12.8783 + 1300 | .9289593 4.588799 0.20 0.840 -8.067873 9.925792 + 1301 | 1.464686 4.040556 0.36 0.717 -6.457257 9.38663 + 1302 | -.7186227 4.312674 -0.17 0.868 -9.174082 7.736837 + 1303 | 17.79871 10.07589 1.77 0.077 -1.956153 37.55357 + 1304 | 4.342117 3.648156 1.19 0.234 -2.810484 11.49472 + 1305 | 6.304675 4.64297 1.36 0.175 -2.798365 15.40771 + 1399 | -.5479848 5.908659 -0.09 0.926 -12.13254 11.03658 + | + house_administration | -4.314063 3.565026 -1.21 0.226 -11.30368 2.675552 + house_agriculture | -1.768096 2.466701 -0.72 0.474 -6.604329 3.068136 + house_appropriations | 6.751127 6.845746 0.99 0.324 -6.670692 20.17295 + house_armedservices | -5.118387 2.417331 -2.12 0.034 -9.857824 -.3789501 + house_budget | -6.734283 4.462512 -1.51 0.131 -15.48352 2.014951 + house_dc | 4.366446 7.828847 0.56 0.577 -10.98285 19.71574 + house_educlabor | .9562837 2.802813 0.34 0.733 -4.538931 6.451498 + house_energycommerce | -.2462364 2.156174 -0.11 0.909 -4.473647 3.981174 + house_foreignaffairs | 12.73171 8.394073 1.52 0.129 -3.725769 29.18919 + house_governmentop | -10.72055 3.1137 -3.44 0.001 -16.82529 -4.615806 + house_intelligence | 2.281338 3.282543 0.69 0.487 -4.154439 8.717115 + house_interior | -.3695584 5.712074 -0.06 0.948 -11.56869 10.82958 + house_judiciary | -2.785933 1.395575 -2.00 0.046 -5.522108 -.0497573 + house_mmf | 2.377973 6.121735 0.39 0.698 -9.624345 14.38029 + house_pocs | -10.85877 4.715419 -2.30 0.021 -20.10385 -1.613684 + house_pwt | -8.386198 4.354617 -1.93 0.054 -16.92389 .1514963 + house_rules | 2.202805 4.426125 0.50 0.619 -6.475087 10.8807 + house_sst | 5.558915 5.540488 1.00 0.316 -5.303806 16.42164 + house_smallbusi | 4.453875 3.655744 1.22 0.223 -2.713603 11.62135 + house_soc | 0 (omitted) + house_veterans | -4.82056 2.798687 -1.72 0.085 -10.30769 .6665666 + house_waysandmeans | -2.409593 1.681139 -1.43 0.152 -5.705647 .8864614 +house_naturalresources | -5.120807 4.124215 -1.24 0.214 -13.20677 2.96516 + house_bfs | 3.994241 3.638556 1.10 0.272 -3.139538 11.12802 + house_eeo | -.4210507 3.112232 -0.14 0.892 -6.522915 5.680814 + house_govreform | -1.331689 1.557407 -0.86 0.393 -4.385152 1.721774 + house_ir | 2.730461 4.009141 0.68 0.496 -5.129889 10.59081 + house_natsecur | 6.571868 3.324691 1.98 0.048 .0534548 13.09028 + house_oversight | -.3986917 2.767884 -0.14 0.885 -5.825426 5.028042 + house_resources | -2.901825 3.330823 -0.87 0.384 -9.432261 3.628611 + house_science | -2.07378 2.789875 -0.74 0.457 -7.543629 3.396069 + house_transp | -4.193378 3.075089 -1.36 0.173 -10.22242 1.835664 + house_homeland | .2882217 1.814053 0.16 0.874 -3.268423 3.844867 + _cons | 17.80228 4.873345 3.65 0.000 8.247568 27.357 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,372 1 0 1 1 + + +j = 5 k = 2 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6186 +----------------------+---------------------- NN matches = 3 + Number of obs | 2192 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 24.47749 44.63704 .5483673 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(7,341 missing values generated) +(54,749 missing values generated) +(47,408 real changes made) +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==100 & tag_bill==1 & women_friend1==1, robust cluster(group_sponsor) +(sum of wgt is 22,425.7189733982) +note: house_soc omitted because of collinearity + +Linear regression Number of obs = 10,277 + F(113, 1951) = 10.28 + Prob > F = 0.0000 + R-squared = 0.1195 + Root MSE = 14.487 + + (Std. Err. adjusted for 1,952 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -.8097638 .580878 -1.39 0.163 -1.94897 .3294428 + | + v2 | + 102 | -1.892025 1.184474 -1.60 0.110 -4.214992 .4309423 + 103 | -1.779664 1.228815 -1.45 0.148 -4.189592 .6302653 + 104 | -4.253494 2.105958 -2.02 0.044 -8.383658 -.1233293 + 105 | -5.204354 1.429082 -3.64 0.000 -8.007043 -2.401666 + 106 | -5.542175 1.36738 -4.05 0.000 -8.223853 -2.860496 + 107 | -5.188715 1.30175 -3.99 0.000 -7.741681 -2.635748 + 108 | -6.425012 1.153032 -5.57 0.000 -8.686317 -4.163707 + 109 | -5.385351 1.258852 -4.28 0.000 -7.854188 -2.916514 + 110 | -.9561264 1.435115 -0.67 0.505 -3.770647 1.858394 + 111 | -2.937694 1.286269 -2.28 0.022 -5.4603 -.4150891 + | + minor | + 201 | -5.720769 1.594165 -3.59 0.000 -8.847214 -2.594324 + 202 | .5533798 1.776371 0.31 0.755 -2.930404 4.037163 + 204 | 9.012514 3.661489 2.46 0.014 1.831673 16.19335 + 205 | 21.45077 8.742374 2.45 0.014 4.305397 38.59615 + 206 | -5.303035 1.673626 -3.17 0.002 -8.585318 -2.020752 + 207 | 4.947759 2.130879 2.32 0.020 .76872 9.126798 + 208 | 1.788539 1.736593 1.03 0.303 -1.617233 5.194311 + 209 | -8.282168 2.337797 -3.54 0.000 -12.86701 -3.697325 + 299 | .0983088 6.968522 0.01 0.989 -13.56822 13.76484 + 300 | 3.105916 3.162487 0.98 0.326 -3.096292 9.308124 + 301 | 6.743508 2.257209 2.99 0.003 2.316713 11.1703 + 302 | 5.379743 2.101533 2.56 0.011 1.258257 9.501229 + 321 | 4.739323 2.361876 2.01 0.045 .1072577 9.371389 + 322 | 2.922302 1.727892 1.69 0.091 -.4664058 6.31101 + 323 | 4.612302 3.393992 1.36 0.174 -2.043929 11.26853 + 324 | 1.716417 1.911792 0.90 0.369 -2.032951 5.465786 + 325 | 7.854725 2.288028 3.43 0.001 3.367489 12.34196 + 331 | 8.716404 2.476585 3.52 0.000 3.859374 13.57343 + 332 | 3.318623 1.873172 1.77 0.077 -.3550059 6.992251 + 333 | 3.468705 2.102864 1.65 0.099 -.655391 7.592801 + 334 | 8.661798 2.504099 3.46 0.001 3.750807 13.57279 + 335 | .8151793 1.905572 0.43 0.669 -2.921992 4.55235 + 336 | 6.798262 2.503023 2.72 0.007 1.889383 11.70714 + 341 | 2.588393 1.888845 1.37 0.171 -1.115974 6.292759 + 342 | 5.396842 3.170325 1.70 0.089 -.8207379 11.61442 + 343 | 4.267822 2.831404 1.51 0.132 -1.285072 9.820716 + 344 | -.7392031 2.775515 -0.27 0.790 -6.182489 4.704083 + 398 | 6.212792 2.317769 2.68 0.007 1.667228 10.75836 + 399 | 5.898149 2.576016 2.29 0.022 .846117 10.95018 + 500 | -3.957688 2.084029 -1.90 0.058 -8.044847 .1294698 + 501 | 1.706207 1.819857 0.94 0.349 -1.862862 5.275275 + 502 | .0544165 1.856054 0.03 0.977 -3.585641 3.694474 + 503 | .8306426 1.401839 0.59 0.554 -1.918617 3.579902 + 504 | -1.292918 1.708441 -0.76 0.449 -4.643479 2.057644 + 505 | 5.012027 2.288899 2.19 0.029 .523082 9.500973 + 506 | .8449767 2.005148 0.42 0.674 -3.087481 4.777434 + 508 | 1.278351 1.91491 0.67 0.504 -2.477134 5.033837 + 529 | 34.50615 6.539938 5.28 0.000 21.68015 47.33215 + 530 | 3.018746 1.569564 1.92 0.055 -.0594517 6.096945 + 599 | 3.71078 4.341153 0.85 0.393 -4.803006 12.22457 + 600 | 8.431691 4.566349 1.85 0.065 -.5237434 17.38713 + 601 | 8.029451 2.527484 3.18 0.002 3.072599 12.9863 + 602 | 2.115097 1.474327 1.43 0.152 -.7763239 5.006518 + 603 | 2.700395 1.978168 1.37 0.172 -1.179149 6.57994 + 604 | 3.226527 3.375567 0.96 0.339 -3.393571 9.846624 + 606 | 4.361892 2.464501 1.77 0.077 -.4714405 9.195225 + 607 | 4.632145 2.046671 2.26 0.024 .6182533 8.646038 + 609 | 3.104697 3.222614 0.96 0.335 -3.21543 9.424825 + 698 | 6.771714 4.303753 1.57 0.116 -1.668724 15.21215 + 699 | 5.246653 3.026867 1.73 0.083 -.6895804 11.18289 + 1200 | 2.981077 3.018129 0.99 0.323 -2.938019 8.900174 + 1201 | 8.691548 2.439914 3.56 0.000 3.906437 13.47666 + 1202 | 11.82401 3.432477 3.44 0.001 5.0923 18.55572 + 1203 | 6.807767 2.037779 3.34 0.001 2.811314 10.80422 + 1204 | 20.18941 5.215303 3.87 0.000 9.961256 30.41756 + 1205 | 7.994165 4.132351 1.93 0.053 -.1101229 16.09845 + 1206 | 1.65928 1.914321 0.87 0.386 -2.09505 5.41361 + 1207 | 3.581618 3.217447 1.11 0.266 -2.728378 9.891614 + 1208 | 4.272525 2.164048 1.97 0.048 .0284355 8.516614 + 1209 | 1.492352 1.769417 0.84 0.399 -1.977793 4.962498 + 1210 | 3.019586 2.029057 1.49 0.137 -.9597618 6.998933 + 1211 | 1.743213 1.950079 0.89 0.371 -2.081245 5.567671 + 1299 | -.6169092 5.326149 -0.12 0.908 -11.06245 9.828631 + 1300 | 1.350034 2.243218 0.60 0.547 -3.049322 5.749389 + 1301 | 2.106488 2.139549 0.98 0.325 -2.089555 6.302531 + 1302 | -1.76247 1.743127 -1.01 0.312 -5.181057 1.656118 + 1303 | -.7683752 2.113995 -0.36 0.716 -4.914302 3.377552 + 1304 | 3.365678 2.077198 1.62 0.105 -.7080822 7.439438 + 1305 | 6.471732 3.153841 2.05 0.040 .2864792 12.65698 + 1399 | 2.352654 5.571719 0.42 0.673 -8.574494 13.2798 + | + house_administration | 1.162079 1.277387 0.91 0.363 -1.343107 3.667266 + house_agriculture | .0244407 1.326328 0.02 0.985 -2.576729 2.62561 + house_appropriations | -3.392088 3.676408 -0.92 0.356 -10.60219 3.818012 + house_armedservices | -2.038667 1.535475 -1.33 0.184 -5.050012 .9726766 + house_budget | -3.716895 2.991853 -1.24 0.214 -9.58446 2.15067 + house_dc | -5.131483 5.850891 -0.88 0.381 -16.60614 6.343172 + house_educlabor | -3.903472 .7019936 -5.56 0.000 -5.280208 -2.526736 + house_energycommerce | -1.812173 .819043 -2.21 0.027 -3.418465 -.2058822 + house_foreignaffairs | .9395558 2.221654 0.42 0.672 -3.417509 5.296621 + house_governmentop | -6.197225 1.679581 -3.69 0.000 -9.491187 -2.903262 + house_intelligence | 4.436596 3.362078 1.32 0.187 -2.157047 11.03024 + house_interior | -3.586729 3.471223 -1.03 0.302 -10.39442 3.220966 + house_judiciary | .49118 .9093257 0.54 0.589 -1.292172 2.274532 + house_mmf | 10.36999 8.555809 1.21 0.226 -6.4095 27.14947 + house_pocs | -1.260109 1.208977 -1.04 0.297 -3.631132 1.110913 + house_pwt | -.6965592 3.137198 -0.22 0.824 -6.84917 5.456052 + house_rules | 13.94282 4.922703 2.83 0.005 4.28851 23.59713 + house_sst | 19.31886 4.826999 4.00 0.000 9.852246 28.78548 + house_smallbusi | 2.655933 2.283748 1.16 0.245 -1.82291 7.134776 + house_soc | 0 (omitted) + house_veterans | -2.371702 1.350469 -1.76 0.079 -5.020215 .2768111 + house_waysandmeans | .6243984 .7556734 0.83 0.409 -.8576137 2.106411 +house_naturalresources | -4.50179 2.882834 -1.56 0.119 -10.15555 1.151968 + house_bfs | -.5600656 1.141841 -0.49 0.624 -2.799423 1.679292 + house_eeo | -1.257175 2.062174 -0.61 0.542 -5.30147 2.787121 + house_govreform | -.911874 .9461156 -0.96 0.335 -2.767378 .9436297 + house_ir | 2.476894 2.317834 1.07 0.285 -2.068797 7.022585 + house_natsecur | 3.560782 3.079533 1.16 0.248 -2.478739 9.600303 + house_oversight | -3.729091 1.313356 -2.84 0.005 -6.304821 -1.153362 + house_resources | -2.46419 2.401437 -1.03 0.305 -7.173843 2.245463 + house_science | -3.507103 1.606093 -2.18 0.029 -6.656942 -.357264 + house_transp | -2.577711 .8373411 -3.08 0.002 -4.219888 -.9355335 + house_homeland | 2.374039 2.711939 0.88 0.381 -2.944564 7.692641 + _cons | 10.76788 1.713883 6.28 0.000 7.406651 14.12912 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 753 1 0 1 1 + + +j = 5 k = 3 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 11.12081 18.1168 .6138395 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(13,828 missing values generated) +(55,922 missing values generated) +(42,094 real changes made) +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==200 & tag_bill==1 & women_friend1==1, robust cluster(group_sponsor) +(sum of wgt is 11,149.7155754566) +note: house_soc omitted because of collinearity + +Linear regression Number of obs = 6,979 + F(112, 1615) = . + Prob > F = . + R-squared = 0.2087 + Root MSE = 23.551 + + (Std. Err. adjusted for 1,616 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 6.239961 1.320049 4.73 0.000 3.650771 8.82915 + | + v2 | + 102 | 4.144984 4.244026 0.98 0.329 -4.179392 12.46936 + 103 | -4.264411 2.237578 -1.91 0.057 -8.653273 .1244506 + 104 | -7.029574 2.809156 -2.50 0.012 -12.53955 -1.5196 + 105 | -.2276595 1.949785 -0.12 0.907 -4.052033 3.596714 + 106 | 4.484225 2.022319 2.22 0.027 .5175793 8.450871 + 107 | 5.729756 2.05947 2.78 0.005 1.690242 9.769271 + 108 | 5.484226 2.447684 2.24 0.025 .6832549 10.2852 + 109 | -.0460979 1.946573 -0.02 0.981 -3.864172 3.771976 + 110 | -5.535537 2.14266 -2.58 0.010 -9.738222 -1.332851 + 111 | -6.359607 2.114726 -3.01 0.003 -10.5075 -2.211711 + | + minor | + 201 | -4.334312 16.55943 -0.26 0.794 -36.81454 28.14592 + 202 | -.6883362 10.03326 -0.07 0.945 -20.36792 18.99124 + 204 | -.7383703 10.51992 -0.07 0.944 -21.37251 19.89577 + 205 | -8.104099 9.071752 -0.89 0.372 -25.89774 9.689544 + 206 | -10.67577 7.6117 -1.40 0.161 -25.60562 4.254074 + 207 | -14.34051 6.545949 -2.19 0.029 -27.17996 -1.501064 + 208 | -9.92993 6.954848 -1.43 0.154 -23.57141 3.711546 + 209 | -18.00946 6.006217 -3.00 0.003 -29.79026 -6.228667 + 299 | 9.704066 13.24521 0.73 0.464 -16.27553 35.68366 + 300 | 2.710386 8.147228 0.33 0.739 -13.26986 18.69063 + 301 | -1.99788 7.166761 -0.28 0.780 -16.05501 12.05925 + 302 | -2.941316 6.852522 -0.43 0.668 -16.38209 10.49945 + 321 | -.3758785 7.330092 -0.05 0.959 -14.75337 14.00161 + 322 | 7.662913 7.029356 1.09 0.276 -6.124703 21.45053 + 323 | 2.29191 7.548791 0.30 0.761 -12.51455 17.09837 + 324 | -11.4503 7.097767 -1.61 0.107 -25.3721 2.471505 + 325 | 3.296483 7.527822 0.44 0.662 -11.46884 18.06181 + 331 | 19.08715 7.356507 2.59 0.010 4.657843 33.51645 + 332 | 8.512502 7.36925 1.16 0.248 -5.941795 22.9668 + 333 | 20.61577 8.573965 2.40 0.016 3.798501 37.43303 + 334 | 6.471466 7.47777 0.87 0.387 -8.195686 21.13862 + 335 | -11.85524 9.062286 -1.31 0.191 -29.63031 5.919837 + 336 | 11.14008 7.510912 1.48 0.138 -3.592078 25.87224 + 341 | 9.652623 9.378678 1.03 0.304 -8.743035 28.04828 + 342 | 14.24655 9.783624 1.46 0.146 -4.943386 33.43648 + 343 | -7.009752 7.407056 -0.95 0.344 -21.5382 7.518701 + 344 | 24.07731 10.66532 2.26 0.024 3.157993 44.99662 + 398 | 10.93086 7.237268 1.51 0.131 -3.264559 25.12629 + 399 | -.3165253 8.517658 -0.04 0.970 -17.02335 16.3903 + 500 | -7.998526 9.112009 -0.88 0.380 -25.87113 9.874079 + 501 | -10.72255 7.393636 -1.45 0.147 -25.22468 3.779577 + 502 | -1.943869 7.466865 -0.26 0.795 -16.58963 12.70189 + 503 | -7.225758 7.011621 -1.03 0.303 -20.97859 6.527074 + 504 | -12.01846 7.682063 -1.56 0.118 -27.08632 3.0494 + 505 | -14.09356 6.784251 -2.08 0.038 -27.40042 -.7867041 + 506 | -13.7998 7.161202 -1.93 0.054 -27.84602 .2464288 + 508 | 8.102545 6.393938 1.27 0.205 -4.438742 20.64383 + 529 | -4.833151 7.666867 -0.63 0.529 -19.8712 10.2049 + 530 | -1.4739 6.074003 -0.24 0.808 -13.38766 10.43986 + 599 | -12.22553 8.698962 -1.41 0.160 -29.28797 4.83691 + 600 | -11.86771 6.758054 -1.76 0.079 -25.12318 1.38777 + 601 | -.3353344 6.626128 -0.05 0.960 -13.33205 12.66138 + 602 | -2.786977 6.738771 -0.41 0.679 -16.00463 10.43068 + 603 | -1.194591 8.787584 -0.14 0.892 -18.43086 16.04168 + 604 | -2.461764 8.899171 -0.28 0.782 -19.9169 14.99337 + 606 | -4.464069 7.528242 -0.59 0.553 -19.23022 10.30208 + 607 | 3.630436 7.686052 0.47 0.637 -11.44525 18.70612 + 609 | .9711722 8.111641 0.12 0.905 -14.93928 16.88162 + 698 | -19.25198 12.27893 -1.57 0.117 -43.33628 4.832328 + 699 | -9.793664 8.9223 -1.10 0.273 -27.29417 7.706837 + 1200 | -8.5574 10.84914 -0.79 0.430 -29.83727 12.72247 + 1201 | 3.513832 6.59299 0.53 0.594 -9.417882 16.44555 + 1202 | 2.554437 7.003755 0.36 0.715 -11.18297 16.29184 + 1203 | -7.606479 5.75696 -1.32 0.187 -18.89838 3.685418 + 1204 | -6.325412 6.206888 -1.02 0.308 -18.49981 5.848989 + 1205 | -7.973493 8.062339 -0.99 0.323 -23.78724 7.840253 + 1206 | 1.257826 7.67018 0.16 0.870 -13.78673 16.30238 + 1207 | -1.948562 6.594363 -0.30 0.768 -14.88297 10.98585 + 1208 | 7.378238 6.835082 1.08 0.281 -6.028323 20.7848 + 1209 | 3.240436 6.328338 0.51 0.609 -9.172181 15.65305 + 1210 | -4.739857 6.173801 -0.77 0.443 -16.84936 7.369645 + 1211 | 1.590585 6.545567 0.24 0.808 -11.24811 14.42928 + 1299 | 3.112291 8.85694 0.35 0.725 -14.26001 20.48459 + 1300 | -6.070328 7.783257 -0.78 0.436 -21.33667 9.196016 + 1301 | 12.91392 8.190834 1.58 0.115 -3.15186 28.9797 + 1302 | -11.83385 8.296204 -1.43 0.154 -28.10631 4.438605 + 1303 | .9632936 7.700875 0.13 0.900 -14.14146 16.06805 + 1304 | 8.506576 7.346952 1.16 0.247 -5.903984 22.91714 + 1305 | 5.581598 8.744027 0.64 0.523 -11.56923 22.73243 + 1399 | -3.149452 10.593 -0.30 0.766 -23.92692 17.62802 + | + house_administration | -.8913998 4.861942 -0.18 0.855 -10.42778 8.644979 + house_agriculture | -1.635226 4.080695 -0.40 0.689 -9.639239 6.368787 + house_appropriations | -4.002267 5.266901 -0.76 0.447 -14.33295 6.328412 + house_armedservices | -.1521244 2.676165 -0.06 0.955 -5.401245 5.096996 + house_budget | -1.378202 4.74336 -0.29 0.771 -10.68199 7.925585 + house_dc | 18.39014 12.69325 1.45 0.148 -6.506819 43.28711 + house_educlabor | -.0738053 2.075704 -0.04 0.972 -4.145161 3.99755 + house_energycommerce | 8.687358 1.473586 5.90 0.000 5.797016 11.5777 + house_foreignaffairs | 9.322392 5.655235 1.65 0.099 -1.769977 20.41476 + house_governmentop | -2.945276 3.782861 -0.78 0.436 -10.36511 4.474557 + house_intelligence | 1.309525 9.719689 0.13 0.893 -17.755 20.37405 + house_interior | 20.61823 12.69323 1.62 0.104 -4.278696 45.51516 + house_judiciary | -3.816868 1.389578 -2.75 0.006 -6.542433 -1.091302 + house_mmf | 1.338617 5.915509 0.23 0.821 -10.26426 12.9415 + house_pocs | -3.393172 3.364676 -1.01 0.313 -9.992761 3.206417 + house_pwt | -16.67615 7.035231 -2.37 0.018 -30.47529 -2.87701 + house_rules | -6.902201 3.359451 -2.05 0.040 -13.49154 -.3128594 + house_sst | 1.15076 12.35715 0.09 0.926 -23.08697 25.38849 + house_smallbusi | 6.836318 6.147423 1.11 0.266 -5.221447 18.89408 + house_soc | 0 (omitted) + house_veterans | 1.752826 2.514191 0.70 0.486 -3.178594 6.684247 + house_waysandmeans | -3.505483 1.493742 -2.35 0.019 -6.43536 -.5756073 +house_naturalresources | -4.004053 6.115778 -0.65 0.513 -15.99975 7.991642 + house_bfs | -8.829104 2.936859 -3.01 0.003 -14.58956 -3.068649 + house_eeo | 2.696811 3.879352 0.70 0.487 -4.912282 10.3059 + house_govreform | -.3775968 2.700157 -0.14 0.889 -5.673777 4.918583 + house_ir | 1.283697 5.340819 0.24 0.810 -9.191967 11.75936 + house_natsecur | 7.858688 4.212668 1.87 0.062 -.404183 16.12156 + house_oversight | 2.042437 3.915778 0.52 0.602 -5.638103 9.722976 + house_resources | -3.191615 5.439671 -0.59 0.557 -13.86117 7.47794 + house_science | 5.104083 5.239098 0.97 0.330 -5.172062 15.38023 + house_transp | -5.790582 4.366616 -1.33 0.185 -14.35541 2.774247 + house_homeland | -8.323705 1.77138 -4.70 0.000 -11.79815 -4.84926 + _cons | 21.87243 6.272508 3.49 0.001 9.56932 34.17554 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 565 1 0 1 1 +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(62,331 observations deleted) +(15 missing values generated) +(2 real changes made) +(1 real change made) +(17 missing values generated) +(1 real change made) +(0 real changes made) +(18 missing values generated) +(0 real changes made) +(0 real changes made) +(16 missing values generated) +(2 real changes made) +(1 real change made) +(16 missing values generated) +(2 real changes made) +(1 real change made) +(5 real changes made) +(5 real changes made) +(5 real changes made) +file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/Table10_pct_cosponsors_opposite_WF11.xls saved + +. +. log close + name: + log: /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Log/Table10.log + log type: text + closed on: 8 Jul 2021, 12:38:38 +--------------------------------------------------------------------------------------------------------------------------------------------------------------------- diff --git a/30/replication_package/Log/Table2.log b/30/replication_package/Log/Table2.log new file mode 100644 index 0000000000000000000000000000000000000000..b7dfe84c710443c35ef7e8844806b67d5af87ee6 --- /dev/null +++ b/30/replication_package/Log/Table2.log @@ -0,0 +1,565 @@ +--------------------------------------------------------------------------------------------------------------------------------------------------------------------- + name: + log: /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Log/Table2.log + log type: text + opened on: 11 May 2021, 23:46:48 + +. +. +. use "$AnalysisData/bills_analysis_101-111_replication.dta", clear +(Bill-level data set. Each observation is an individual bill.) + +. keep private v2 sponsor_state_abbrev sponsor_district sponsor_term_served sponsor_female sponsor_party sponsor_age sponsor_tenure_run comc comr /* +> */ lnpop lnarea MV1_democrat numb_cosponsors_opposite numb_cosponsors pct_cosponsors_opposite plaw_cbp passh women_friend* HRnumber /* +> */ MV1_female minor house_* sponsor_age ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate /* +> */ pct_black pct_urban pct_for_born pct_age_over65 lninc sponsor_state_icpsr + +. +. cap drop pct_cosponsors_opposite + +. gen pct_cosponsors_opposite = 100*numb_cosponsors_opposite/(1+numb_cosponsors) +(2,561 missing values generated) + +. replace pct_cosponsors_opposite=. if pct_cosponsors_opposite>100 +(3 real changes made, 3 to missing) + +. egen tag_bill = tag(v2 HRnumber) + +. egen tag_sponsor = tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) + +. +. keep if tag_bill==1 +(0 observations deleted) + +. +. bysort v2 sponsor_state_abbrev sponsor_district sponsor_term_served: egen tot_bills=count(v2) + +. +. +. local if1 = "if sponsor_party==100 | sponsor_party==200" + +. local if2 = "if sponsor_party==100" + +. local if3 = "if sponsor_party==200" + +. +. local and1 = "& (sponsor_party==100 | sponsor_party==200)" + +. local and2 = "& sponsor_party==100" + +. local and3 = "& sponsor_party==200" + +. +. +. forvalue j=1/3{ + 2. if `j'==1 { + 3. di in ye "" + 4. di in ye "" + 5. di in ye "**********************************" + 6. di in ye " ALL " + 7. di in ye "**********************************" + 8. di in ye "" + 9. di in ye "" + 10. } + 11. else if `j'==2 { + 12. di in ye "" + 13. di in ye "" + 14. di in ye "**********************************" + 15. di in ye " DEMOCRATS " + 16. di in ye "**********************************" + 17. di in ye "" + 18. di in ye "" + 19. } + 20. else if `j'==3 { + 21. di in ye "" + 22. di in ye "" + 23. di in ye "**********************************" + 24. di in ye " REPUBLICANS " + 25. di in ye "**********************************" + 26. di in ye "" + 27. di in ye "" + 28. } + 29. +. di "sum tot_bills if tag_sponsor==1 & sponsor_female!=. `and`j'', d" + 30. sum tot_bills if tag_sponsor==1 & sponsor_female!=. `and`j'', d + 31. di "sum tot_bills if tag_sponsor==1 & sponsor_female==0 `and`j'', d" + 32. sum tot_bills if tag_sponsor==1 & sponsor_female==0 `and`j'', d + 33. di "sum tot_bills if tag_sponsor==1 & sponsor_female==1 `and`j'', d" + 34. sum tot_bills if tag_sponsor==1 & sponsor_female==1 `and`j'', d + 35. +. di "sum numb_cosponsors `if`j'', d" + 36. sum numb_cosponsors `if`j'', d + 37. di "sum pct_cosponsors_opposite `if`j'', d" + 38. sum pct_cosponsors_opposite `if`j'', d + 39. +. di "sum numb_cosponsors if sponsor_female==0 `and`j'', d" + 40. sum numb_cosponsors if sponsor_female==0 `and`j'', d + 41. di "sum pct_cosponsors_opposite if sponsor_female==0 `and`j'', d" + 42. sum pct_cosponsors_opposite if sponsor_female==0 `and`j'', d + 43. +. di "sum numb_cosponsors if sponsor_female==1 `and`j'', d" + 44. sum numb_cosponsors if sponsor_female==1 `and`j'', d + 45. di "sum pct_cosponsors_opposite if sponsor_female==1 `and`j'', d" + 46. sum pct_cosponsors_opposite if sponsor_female==1 `and`j'', d + 47. } + + +********************************** + ALL +********************************** + + +sum tot_bills if tag_sponsor==1 & sponsor_female!=. & (sponsor_party==100 | sponsor_party==200), d + + tot_bills +------------------------------------------------------------- + Percentiles Smallest + 1% 1 1 + 5% 2 1 +10% 3 1 Obs 4,778 +25% 6 1 Sum of Wgt. 4,778 + +50% 10 Mean 12.80054 + Largest Std. Dev. 10.50931 +75% 17 101 +90% 26 102 Variance 110.4457 +95% 33 104 Skewness 2.287418 +99% 51 119 Kurtosis 12.73451 +sum tot_bills if tag_sponsor==1 & sponsor_female==0 & (sponsor_party==100 | sponsor_party==200), d + + tot_bills +------------------------------------------------------------- + Percentiles Smallest + 1% 1 1 + 5% 2 1 +10% 3 1 Obs 4,188 +25% 5 1 Sum of Wgt. 4,188 + +50% 10 Mean 12.5542 + Largest Std. Dev. 10.40504 +75% 16 101 +90% 25 102 Variance 108.2648 +95% 32 104 Skewness 2.414986 +99% 51 119 Kurtosis 14.0142 +sum tot_bills if tag_sponsor==1 & sponsor_female==1 & (sponsor_party==100 | sponsor_party==200), d + + tot_bills +------------------------------------------------------------- + Percentiles Smallest + 1% 1 1 + 5% 2 1 +10% 4 1 Obs 590 +25% 7 1 Sum of Wgt. 590 + +50% 12 Mean 14.54915 + Largest Std. Dev. 11.07438 +75% 18 60 +90% 30 65 Variance 122.6419 +95% 36 65 Skewness 1.558143 +99% 51 73 Kurtosis 6.25309 +sum numb_cosponsors if sponsor_party==100 | sponsor_party==200, d + + Number of cosponsors (B) +------------------------------------------------------------- + Percentiles Smallest + 1% 0 0 + 5% 0 0 +10% 0 0 Obs 61,161 +25% 0 0 Sum of Wgt. 61,161 + +50% 3 Mean 16.97572 + Largest Std. Dev. 35.92235 +75% 17 399 +90% 46 403 Variance 1290.415 +95% 79 406 Skewness 4.286508 +99% 190 425 Kurtosis 26.88169 +sum pct_cosponsors_opposite if sponsor_party==100 | sponsor_party==200, d + + pct_cosponsors_opposite +------------------------------------------------------------- + Percentiles Smallest + 1% 0 0 + 5% 0 0 +10% 0 0 Obs 61,158 +25% 0 0 Sum of Wgt. 61,158 + +50% 0 Mean 14.98997 + Largest Std. Dev. 21.3025 +75% 28.30189 95.45454 +90% 50 96.72131 Variance 453.7965 +95% 58.62069 98.4127 Skewness 1.247975 +99% 75 100 Kurtosis 3.396241 +sum numb_cosponsors if sponsor_female==0 & (sponsor_party==100 | sponsor_party==200), d + + Number of cosponsors (B) +------------------------------------------------------------- + Percentiles Smallest + 1% 0 0 + 5% 0 0 +10% 0 0 Obs 52,577 +25% 0 0 Sum of Wgt. 52,577 + +50% 3 Mean 16.50033 + Largest Std. Dev. 35.49378 +75% 16 383 +90% 45 403 Variance 1259.809 +95% 78 406 Skewness 4.32909 +99% 186 425 Kurtosis 27.30469 +sum pct_cosponsors_opposite if sponsor_female==0 & (sponsor_party==100 | sponsor_party==200), d + + pct_cosponsors_opposite +------------------------------------------------------------- + Percentiles Smallest + 1% 0 0 + 5% 0 0 +10% 0 0 Obs 52,574 +25% 0 0 Sum of Wgt. 52,574 + +50% 0 Mean 15.23668 + Largest Std. Dev. 21.40094 +75% 28.57143 95.3125 +90% 50 95.45454 Variance 458.0002 +95% 58.37104 96.72131 Skewness 1.206198 +99% 75 98.4127 Kurtosis 3.270829 +sum numb_cosponsors if sponsor_female==1 & (sponsor_party==100 | sponsor_party==200), d + + Number of cosponsors (B) +------------------------------------------------------------- + Percentiles Smallest + 1% 0 0 + 5% 0 0 +10% 0 0 Obs 8,584 +25% 0 0 Sum of Wgt. 8,584 + +50% 5 Mean 19.88747 + Largest Std. Dev. 38.31689 +75% 22 375 +90% 53 375 Variance 1468.184 +95% 86 378 Skewness 4.05777 +99% 213 399 Kurtosis 24.59916 +sum pct_cosponsors_opposite if sponsor_female==1 & (sponsor_party==100 | sponsor_party==200), d + + pct_cosponsors_opposite +------------------------------------------------------------- + Percentiles Smallest + 1% 0 0 + 5% 0 0 +10% 0 0 Obs 8,584 +25% 0 0 Sum of Wgt. 8,584 + +50% 0 Mean 13.47898 + Largest Std. Dev. 20.62632 +75% 22.22222 91.66666 +90% 50 92.42424 Variance 425.445 +95% 59.24657 93.18182 Skewness 1.527115 +99% 77.77778 100 Kurtosis 4.329397 + + +********************************** + DEMOCRATS +********************************** + + +sum tot_bills if tag_sponsor==1 & sponsor_female!=. & sponsor_party==100, d + + tot_bills +------------------------------------------------------------- + Percentiles Smallest + 1% 1 1 + 5% 2 1 +10% 3 1 Obs 2,505 +25% 5 1 Sum of Wgt. 2,505 + +50% 10 Mean 13.19082 + Largest Std. Dev. 11.13005 +75% 17 93 +90% 27 101 Variance 123.8781 +95% 35 104 Skewness 2.313554 +99% 51 119 Kurtosis 13.1054 +sum tot_bills if tag_sponsor==1 & sponsor_female==0 & sponsor_party==100, d + + tot_bills +------------------------------------------------------------- + Percentiles Smallest + 1% 1 1 + 5% 2 1 +10% 3 1 Obs 2,099 +25% 5 1 Sum of Wgt. 2,099 + +50% 10 Mean 12.87613 + Largest Std. Dev. 10.93332 +75% 17 93 +90% 26 101 Variance 119.5376 +95% 34 104 Skewness 2.486579 +99% 50 119 Kurtosis 15.10201 +sum tot_bills if tag_sponsor==1 & sponsor_female==1 & sponsor_party==100, d + + tot_bills +------------------------------------------------------------- + Percentiles Smallest + 1% 1 1 + 5% 2 1 +10% 3 1 Obs 406 +25% 6 1 Sum of Wgt. 406 + +50% 12 Mean 14.81773 + Largest Std. Dev. 11.97925 +75% 19 60 +90% 32 65 Variance 143.5025 +95% 39 65 Skewness 1.611741 +99% 56 73 Kurtosis 6.138817 +sum numb_cosponsors if sponsor_party==100, d + + Number of cosponsors (B) +------------------------------------------------------------- + Percentiles Smallest + 1% 0 0 + 5% 0 0 +10% 0 0 Obs 33,043 +25% 0 0 Sum of Wgt. 33,043 + +50% 4 Mean 17.55649 + Largest Std. Dev. 35.81868 +75% 19 368 +90% 48 378 Variance 1282.978 +95% 81 399 Skewness 4.130611 +99% 187 406 Kurtosis 25.3192 +sum pct_cosponsors_opposite if sponsor_party==100, d + + pct_cosponsors_opposite +------------------------------------------------------------- + Percentiles Smallest + 1% 0 0 + 5% 0 0 +10% 0 0 Obs 33,042 +25% 0 0 Sum of Wgt. 33,042 + +50% 0 Mean 11.74841 + Largest Std. Dev. 18.08091 +75% 20 93.10345 +90% 43.03798 95.2381 Variance 326.9193 +95% 50 95.3125 Skewness 1.504549 +99% 66.66666 100 Kurtosis 4.276819 +sum numb_cosponsors if sponsor_female==0 & sponsor_party==100, d + + Number of cosponsors (B) +------------------------------------------------------------- + Percentiles Smallest + 1% 0 0 + 5% 0 0 +10% 0 0 Obs 27,027 +25% 0 0 Sum of Wgt. 27,027 + +50% 3 Mean 17.02986 + Largest Std. Dev. 35.57744 +75% 18 352 +90% 46 366 Variance 1265.754 +95% 80 368 Skewness 4.175082 +99% 182 406 Kurtosis 25.63942 +sum pct_cosponsors_opposite if sponsor_female==0 & sponsor_party==100, d + + pct_cosponsors_opposite +------------------------------------------------------------- + Percentiles Smallest + 1% 0 0 + 5% 0 0 +10% 0 0 Obs 27,026 +25% 0 0 Sum of Wgt. 27,026 + +50% 0 Mean 12.3523 + Largest Std. Dev. 18.58603 +75% 21.42857 91.66666 +90% 46.15385 93.10345 Variance 345.4406 +95% 50 95.2381 Skewness 1.420342 +99% 66.66666 95.3125 Kurtosis 3.970325 +sum numb_cosponsors if sponsor_female==1 & sponsor_party==100, d + + Number of cosponsors (B) +------------------------------------------------------------- + Percentiles Smallest + 1% 0 0 + 5% 0 0 +10% 0 0 Obs 6,016 +25% 0 0 Sum of Wgt. 6,016 + +50% 6 Mean 19.92237 + Largest Std. Dev. 36.79315 +75% 23 328 +90% 54 340 Variance 1353.736 +95% 84 378 Skewness 3.962227 +99% 200 399 Kurtosis 24.13855 +sum pct_cosponsors_opposite if sponsor_female==1 & sponsor_party==100, d + + pct_cosponsors_opposite +------------------------------------------------------------- + Percentiles Smallest + 1% 0 0 + 5% 0 0 +10% 0 0 Obs 6,016 +25% 0 0 Sum of Wgt. 6,016 + +50% 0 Mean 9.035552 + Largest Std. Dev. 15.32187 +75% 12.5 83.33334 +90% 33.33333 83.33334 Variance 234.7596 +95% 50 90 Skewness 1.945841 +99% 61.25 100 Kurtosis 6.267607 + + +********************************** + REPUBLICANS +********************************** + + +sum tot_bills if tag_sponsor==1 & sponsor_female!=. & sponsor_party==200, d + + tot_bills +------------------------------------------------------------- + Percentiles Smallest + 1% 1 1 + 5% 2 1 +10% 3 1 Obs 2,273 +25% 6 1 Sum of Wgt. 2,273 + +50% 10 Mean 12.37044 + Largest Std. Dev. 9.764076 +75% 16 66 +90% 24 71 Variance 95.33719 +95% 31 78 Skewness 2.18126 +99% 51 102 Kurtosis 11.31004 +sum tot_bills if tag_sponsor==1 & sponsor_female==0 & sponsor_party==200, d + + tot_bills +------------------------------------------------------------- + Percentiles Smallest + 1% 1 1 + 5% 2 1 +10% 3 1 Obs 2,089 +25% 6 1 Sum of Wgt. 2,089 + +50% 10 Mean 12.23073 + Largest Std. Dev. 9.837735 +75% 16 66 +90% 24 71 Variance 96.78103 +95% 30 78 Skewness 2.277554 +99% 52 102 Kurtosis 11.86216 +sum tot_bills if tag_sponsor==1 & sponsor_female==1 & sponsor_party==200, d + + tot_bills +------------------------------------------------------------- + Percentiles Smallest + 1% 2 1 + 5% 3 2 +10% 4 2 Obs 184 +25% 7 2 Sum of Wgt. 184 + +50% 12 Mean 13.95652 + Largest Std. Dev. 8.753969 +75% 18 36 +90% 27 36 Variance 76.63198 +95% 32 37 Skewness .839732 +99% 37 38 Kurtosis 3.008616 +sum numb_cosponsors if sponsor_party==200, d + + Number of cosponsors (B) +------------------------------------------------------------- + Percentiles Smallest + 1% 0 0 + 5% 0 0 +10% 0 0 Obs 28,118 +25% 0 0 Sum of Wgt. 28,118 + +50% 3 Mean 16.29323 + Largest Std. Dev. 36.03246 +75% 16 378 +90% 44 383 Variance 1298.338 +95% 77 403 Skewness 4.47128 +99% 194 425 Kurtosis 28.73551 +sum pct_cosponsors_opposite if sponsor_party==200, d + + pct_cosponsors_opposite +------------------------------------------------------------- + Percentiles Smallest + 1% 0 0 + 5% 0 0 +10% 0 0 Obs 28,116 +25% 0 0 Sum of Wgt. 28,116 + +50% 0 Mean 18.79946 + Largest Std. Dev. 24.00121 +75% 37.93103 94.73684 +90% 55.38462 95.45454 Variance 576.0581 +95% 66.66666 96.72131 Skewness .9350881 +99% 80 98.4127 Kurtosis 2.555384 +sum numb_cosponsors if sponsor_female==0 & sponsor_party==200, d + + Number of cosponsors (B) +------------------------------------------------------------- + Percentiles Smallest + 1% 0 0 + 5% 0 0 +10% 0 0 Obs 25,550 +25% 0 0 Sum of Wgt. 25,550 + +50% 3 Mean 15.9402 + Largest Std. Dev. 35.39715 +75% 15 378 +90% 44 383 Variance 1252.958 +95% 75 403 Skewness 4.497103 +99% 188 425 Kurtosis 29.14107 +sum pct_cosponsors_opposite if sponsor_female==0 & sponsor_party==200, d + + pct_cosponsors_opposite +------------------------------------------------------------- + Percentiles Smallest + 1% 0 0 + 5% 0 0 +10% 0 0 Obs 25,548 +25% 0 0 Sum of Wgt. 25,548 + +50% 0 Mean 18.28792 + Largest Std. Dev. 23.64271 +75% 36.70068 94.73684 +90% 53.84615 95.45454 Variance 558.9779 +95% 65 96.72131 Skewness .9629182 +99% 80 98.4127 Kurtosis 2.615154 +sum numb_cosponsors if sponsor_female==1 & sponsor_party==200, d + + Number of cosponsors (B) +------------------------------------------------------------- + Percentiles Smallest + 1% 0 0 + 5% 0 0 +10% 0 0 Obs 2,568 +25% 0 0 Sum of Wgt. 2,568 + +50% 4 Mean 19.80569 + Largest Std. Dev. 41.67637 +75% 20 337 +90% 53 360 Variance 1736.92 +95% 94 375 Skewness 4.157703 +99% 234 375 Kurtosis 24.42861 +sum pct_cosponsors_opposite if sponsor_female==1 & sponsor_party==200, d + + pct_cosponsors_opposite +------------------------------------------------------------- + Percentiles Smallest + 1% 0 0 + 5% 0 0 +10% 0 0 Obs 2,568 +25% 0 0 Sum of Wgt. 2,568 + +50% 11.23737 Mean 23.88852 + Largest Std. Dev. 26.7909 +75% 50 91.42857 +90% 64 91.66666 Variance 717.7525 +95% 72.72727 92.42424 Skewness .6450561 +99% 85 93.18182 Kurtosis 2.021908 + +. +. log close + name: + log: /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Log/Table2.log + log type: text + closed on: 11 May 2021, 23:46:48 +--------------------------------------------------------------------------------------------------------------------------------------------------------------------- diff --git a/30/replication_package/Log/Table3a_3b.log b/30/replication_package/Log/Table3a_3b.log new file mode 100644 index 0000000000000000000000000000000000000000..12e5d1ce8fa84b7007ff6c3785e14d83787a0885 --- /dev/null +++ b/30/replication_package/Log/Table3a_3b.log @@ -0,0 +1,10392 @@ +--------------------------------------------------------------------------------------------------------------------------------------------------------------------- + name: + log: /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Log/Table3a_3b.log + log type: text + opened on: 8 Jul 2021, 12:12:33 + +. +. +. use "$AnalysisData/bills_analysis_101-111_replication.dta", clear +(Bill-level data set. Each observation is an individual bill.) + +. keep private v2 sponsor_state_abbrev sponsor_district sponsor_term_served sponsor_female sponsor_party sponsor_age sponsor_tenure_run comc comr /* +> */ lnpop lnarea MV1_democrat numb_cosponsors_opposite numb_cosponsors pct_cosponsors_opposite plaw_cbp passh women_friend* HRnumber /* +> */ MV1_female minor house_* sponsor_age ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate /* +> */ pct_black pct_urban pct_for_born pct_age_over65 lninc sponsor_state_icpsr + +. keep if private==0 +(1,546 observations deleted) + +. +. bysort v2 sponsor_state_abbrev sponsor_district sponsor_term_served: egen tot_bills=count(v2) + +. +. gen byte sponsor_democrat = sponsor_party==100 if sponsor_party~=. +(1,036 missing values generated) + +. +. gen byte NE = sponsor_state_icpsr>=1 & sponsor_state_icpsr<=14 if sponsor_state_icpsr~=. +(1,015 missing values generated) + +. gen byte MW = sponsor_state_icpsr>=21 & sponsor_state_icpsr<=37 if sponsor_state_icpsr~=. +(1,015 missing values generated) + +. gen byte SO = sponsor_state_icpsr>=40 & sponsor_state_icpsr<=56 if sponsor_state_icpsr~=. +(1,015 missing values generated) + +. gen byte WE = sponsor_state_icpsr>=61 & sponsor_state_icpsr<=82 if sponsor_state_icpsr~=. +(1,015 missing values generated) + +. +. replace sponsor_age=. if sponsor_age>100 +(0 real changes made) + +. gen sponsor_rookie=(sponsor_tenure_run==1) if sponsor_tenure_run!=. +(1,015 missing values generated) + +. gen byte leader = (comc==1) | (comr==1) if comc~=. & comr~=. +(1,015 missing values generated) + +. +. gen lnpden=lnpop-lnarea +(1,015 missing values generated) + +. gen absMV=abs(MV1_democrat) +(6,677 missing values generated) + +. +. egen tag_congressmen=tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) + +. egen tag_sponsor = tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) + +. egen group_sponsor = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +(1,015 missing values generated) + +. +. cap drop pct_cosponsors_opposite + +. gen pct_cosponsors_opposite=100*numb_cosponsors_opposite/(numb_cosponsors+1) +(1,015 missing values generated) + +. replace pct_cosponsors_opposite=. if pct_cosponsors_opposite>100 +(3 real changes made, 3 to missing) + +. +. compress + variable tot_bills was float now int + variable sponsor_rookie was float now byte + variable group_sponsor was float now int + (436,443 bytes saved) + +. +. egen tag_bill = tag(v2 HRnumber) + +. +. gen int decade = 1980 if v2<=102 +(50,563 missing values generated) + +. replace decade=1990 if v2>=103 & v2<=107 +(25,238 real changes made) + +. replace decade=2000 if v2>=108 +(25,325 real changes made) + +. +. egen district_id = group(decade sponsor_state_abbrev sponsor_district) +(1,015 missing values generated) + +. +. local other_controls1 = "i.v2" + +. local other_controls2 = "i.v2 i.minor house_*" + +. local other_controls3 = "i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninst +> ate tot_bills" + +. local other_controls4 = "i.v2 i.minor house_* NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden" + +. local other_controls5 = "i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninst +> ate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden" + +. +. local if1 = "if tag_bill==1" + +. local if2 = "if sponsor_party==100 & tag_bill==1" + +. local if3 = "if sponsor_party==200 & tag_bill==1" + +. +. foreach depvar of varlist numb_cosponsors pct_cosponsors_opposite { + 2. forvalues j=1/5 { + 3. forvalues k = 1/3 { + 4. +. if "`depvar'"=="numb_cosponsors_opposite" { + 5. local other_controls`j' = "numb_cosponsors `other_controls`j''" + 6. } + 7. if `j'==1 { + 8. di "reg `depvar' sponsor_female `other_controls`j'' `if`k'', robust cluster(group_sponsor)" + 9. reg `depvar' sponsor_female `other_controls`j'' `if`k'', robust cluster(group_sponsor) + 10. } + 11. else if `j'==2 { + 12. di "reg `depvar' sponsor_female `other_controls`j'' `if`k'', robust cluster(group_sponsor)" + 13. reg `depvar' sponsor_female `other_controls`j'' `if`k'', robust cluster(group_sponsor) + 14. } + 15. else if `j'==3 { + 16. di "reg `depvar' sponsor_female `other_controls`j'' `if`k'', robust cluster(group_sponsor)" + 17. reg `depvar' sponsor_female `other_controls`j'' `if`k'', robust cluster(group_sponsor) + 18. } + 19. else if `j'==4 { + 20. di "reg `depvar' sponsor_female `other_controls`j'' `if`k'', robust cluster(group_sponsor)" + 21. reg `depvar' sponsor_female `other_controls`j'' `if`k'', robust cluster(group_sponsor) + 22. } + 23. else if `j'==5 { + 24. di "reg `depvar' sponsor_female `other_controls`j'' `if`k'', robust cluster(group_sponsor)" + 25. reg `depvar' sponsor_female `other_controls`j'' `if`k'', robust cluster(group_sponsor) + 26. } + 27. scalar b_col`j'_row`k' = _b[sponsor_female] + 28. scalar se_col`j'_row`k' = _se[sponsor_female] + 29. scalar n_col`j'_row`k' = e(N) + 30. sum tag_congressmen if tag_congressmen==1 & e(sample) + 31. scalar ni_col`j'_row`k' = e(N_clust) + 32. scalar ob_col`j'_row`k' = . + 33. +. } + 34. } + 35. +. preserve + 36. +. * Display results +. +. forvalues i = 1/5 { + 37. gen var`i' =. + 38. } + 39. gen str20 var6 = "" + 40. +. forvalues j=1/5 { + 41. forvalues k = 1/3 { + 42. replace var`j' = b_col`j'_row`k' if _n==6*(`k'-1)+1 + 43. replace var`j' = se_col`j'_row`k' if _n==6*(`k'-1)+2 + 44. replace var`j' = n_col`j'_row`k' if _n==6*(`k'-1)+3 + 45. replace var`j' = ni_col`j'_row`k' if _n==6*(`k'-1)+4 + 46. replace var`j' = ob_col`j'_row`k' if _n==6*(`k'-1)+5 + 47. } + 48. } + 49. +. keep var1-var6 + 50. keep if _n<=18 + 51. +. order var6 var1-var5 + 52. +. ren var6 sampletype + 53. ren var1 OLS_bas + 54. ren var2 OLS_maj + 55. ren var3 OLS_ind + 56. ren var4 OLS_dis + 57. ren var5 OLS_all + 58. +. foreach var of varlist OLS_bas OLS_maj OLS_ind OLS_dis OLS_all { + 59. gen str3 `var'_stars ="*" if abs(`var'/`var'[_n+1])>=1.645 & mod(_n,6)==1 + 60. replace `var'_stars ="**" if abs(`var'/`var'[_n+1])>=1.96 & mod(_n,6)==1 + 61. replace `var'_stars="***" if abs(`var'/`var'[_n+1])>=2.58 & mod(_n,6)==1 + 62. } + 63. +. replace sampletype = "All" if _n>=1 & _n<=5 + 64. replace sampletype = "Democrats" if _n>=7 & _n<=11 + 65. replace sampletype = "Republicans" if _n>=13 & _n<=17 + 66. +. order sampletype OLS_bas* OLS_maj* OLS_ind* OLS_dis* OLS_all* + 67. export excel using "$Output/Table3a_`depvar'_OLS", firstrow(var) replace + 68. restore + 69. } +reg numb_cosponsors sponsor_female i.v2 if tag_bill==1, robust cluster(group_sponsor) + +Linear regression Number of obs = 61,334 + F(11, 4790) = 6.55 + Prob > F = 0.0000 + R-squared = 0.0025 + Root MSE = 35.889 + + (Std. Err. adjusted for 4,791 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust +numb_cospons~s | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | 3.307652 .6670866 4.96 0.000 1.999856 4.615448 + | + v2 | + 102 | -1.319239 .9566351 -1.38 0.168 -3.194683 .5562056 + 103 | -2.370891 .8770612 -2.70 0.007 -4.090333 -.6514478 + 104 | -1.810761 .944685 -1.92 0.055 -3.662777 .0412558 + 105 | .8186725 .9745357 0.84 0.401 -1.091865 2.72921 + 106 | 1.92666 1.067647 1.80 0.071 -.1664177 4.019738 + 107 | 1.283642 1.035023 1.24 0.215 -.7454789 3.312763 + 108 | 2.11973 1.028165 2.06 0.039 .1040549 4.135405 + 109 | -.7293021 .9516232 -0.77 0.443 -2.594921 1.136317 + 110 | -.2128337 .9565883 -0.22 0.824 -2.088186 1.662519 + 111 | -.682081 .9332307 -0.73 0.465 -2.511642 1.14748 + | + _cons | 16.61364 .6775919 24.52 0.000 15.28525 17.94203 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,791 1 0 1 1 +reg numb_cosponsors sponsor_female i.v2 if sponsor_party==100 & tag_bill==1, robust cluster(group_sponsor) + +Linear regression Number of obs = 33,043 + F(11, 2504) = 7.37 + Prob > F = 0.0000 + R-squared = 0.0042 + Root MSE = 35.749 + + (Std. Err. adjusted for 2,505 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust +numb_cospons~s | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | 2.674517 .8363612 3.20 0.001 1.034486 4.314548 + | + v2 | + 102 | -1.934238 1.139081 -1.70 0.090 -4.167875 .299399 + 103 | -4.179831 1.095055 -3.82 0.000 -6.327137 -2.032524 + 104 | -6.629784 1.248761 -5.31 0.000 -9.078494 -4.181074 + 105 | -.9658996 1.374848 -0.70 0.482 -3.661855 1.730056 + 106 | .8280433 1.589176 0.52 0.602 -2.28819 3.944277 + 107 | .2877988 1.490061 0.19 0.847 -2.634079 3.209676 + 108 | .6115045 1.52941 0.40 0.689 -2.387533 3.610542 + 109 | -2.5782 1.451094 -1.78 0.076 -5.423667 .2672668 + 110 | 1.109881 1.245546 0.89 0.373 -1.332526 3.552287 + 111 | -1.179332 1.194285 -0.99 0.324 -3.52122 1.162556 + | + _cons | 18.19588 .8616666 21.12 0.000 16.50623 19.88554 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,505 1 0 1 1 +reg numb_cosponsors sponsor_female i.v2 if sponsor_party==200 & tag_bill==1, robust cluster(group_sponsor) + +Linear regression Number of obs = 28,118 + F(11, 2272) = 6.53 + Prob > F = 0.0000 + R-squared = 0.0047 + Root MSE = 35.954 + + (Std. Err. adjusted for 2,273 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust +numb_cospons~s | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | 4.081817 1.135479 3.59 0.000 1.855133 6.3085 + | + v2 | + 102 | -.2169102 1.737122 -0.12 0.901 -3.623422 3.189602 + 103 | .9282409 1.415893 0.66 0.512 -1.848338 3.70482 + 104 | 3.443701 1.324498 2.60 0.009 .8463493 6.041054 + 105 | 4.010444 1.37856 2.91 0.004 1.307075 6.713812 + 106 | 4.508483 1.467115 3.07 0.002 1.631458 7.385508 + 107 | 3.675636 1.444366 2.54 0.011 .8432223 6.50805 + 108 | 4.738492 1.367314 3.47 0.001 2.057178 7.419807 + 109 | 2.309569 1.280272 1.80 0.071 -.2010564 4.820194 + 110 | -2.143399 1.288084 -1.66 0.096 -4.669343 .3825453 + 111 | .0419581 1.37414 0.03 0.976 -2.652743 2.736659 + | + _cons | 13.71277 1.017302 13.48 0.000 11.71783 15.70771 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,273 1 0 1 1 +reg numb_cosponsors sponsor_female i.v2 i.minor house_* if tag_bill==1, robust cluster(group_sponsor) + +Linear regression Number of obs = 61,334 + F(268, 4790) = . + Prob > F = . + R-squared = 0.0794 + Root MSE = 34.55 + + (Std. Err. adjusted for 4,791 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 1.296717 .6018764 2.15 0.031 .1167624 2.476671 + | + v2 | + 102 | -1.029544 .924377 -1.11 0.265 -2.841747 .7826598 + 103 | -2.656475 .8580961 -3.10 0.002 -4.338738 -.9742129 + 104 | -2.360538 .9686967 -2.44 0.015 -4.259629 -.4614479 + 105 | .6917319 .9585802 0.72 0.471 -1.187526 2.570989 + 106 | 1.739214 1.053726 1.65 0.099 -.326574 3.805001 + 107 | 1.711167 1.014345 1.69 0.092 -.2774148 3.699748 + 108 | 1.265205 1.017721 1.24 0.214 -.7299954 3.260405 + 109 | .0799204 .9275173 0.09 0.931 -1.73844 1.89828 + 110 | .4293261 .9069938 0.47 0.636 -1.348798 2.20745 + 111 | -1.700416 .9319409 -1.82 0.068 -3.527448 .1266166 + | + minor | + 101 | -2.143062 4.822514 -0.44 0.657 -11.5974 7.31128 + 103 | -4.421249 4.770168 -0.93 0.354 -13.77297 4.930471 + 104 | .7758695 3.5891 0.22 0.829 -6.260415 7.812154 + 105 | 8.001016 5.274146 1.52 0.129 -2.338732 18.34076 + 107 | 7.042571 2.954051 2.38 0.017 1.251273 12.83387 + 108 | 5.297191 5.116272 1.04 0.301 -4.733052 15.32743 + 110 | 6.559206 9.848155 0.67 0.505 -12.7477 25.86611 + 200 | 11.33912 3.812196 2.97 0.003 3.86547 18.81278 + 201 | 7.118749 5.451641 1.31 0.192 -3.568972 17.80647 + 202 | 33.1554 6.275976 5.28 0.000 20.85161 45.4592 + 204 | 11.98678 6.349388 1.89 0.059 -.4609368 24.4345 + 205 | 60.82144 17.68848 3.44 0.001 26.1439 95.49898 + 206 | 10.75912 4.416189 2.44 0.015 2.10136 19.41688 + 207 | 24.27182 4.434388 5.47 0.000 15.57839 32.96526 + 208 | 3.836786 3.255777 1.18 0.239 -2.546033 10.21961 + 209 | 13.88322 11.74722 1.18 0.237 -9.146724 36.91317 + 299 | 54.3374 13.62348 3.99 0.000 27.62912 81.04569 + 300 | 7.841831 4.016614 1.95 0.051 -.0325779 15.71624 + 301 | 6.427088 3.279693 1.96 0.050 -.0026175 12.85679 + 302 | 10.32228 3.148207 3.28 0.001 4.150347 16.49421 + 321 | 7.529571 3.386179 2.22 0.026 .8911051 14.16804 + 322 | 1.428088 3.110073 0.46 0.646 -4.669083 7.525259 + 323 | 14.2421 3.884934 3.67 0.000 6.62584 21.85835 + 324 | .3156775 3.534179 0.09 0.929 -6.612937 7.244292 + 325 | 6.806562 3.289096 2.07 0.039 .3584225 13.2547 + 331 | 22.21509 3.806534 5.84 0.000 14.75254 29.67765 + 332 | 13.1222 3.281065 4.00 0.000 6.689807 19.5546 + 333 | 16.3075 4.521798 3.61 0.000 7.442703 25.1723 + 334 | 13.07328 3.395726 3.85 0.000 6.416099 19.73046 + 335 | 8.736665 3.711616 2.35 0.019 1.460192 16.01314 + 336 | 19.72048 4.29525 4.59 0.000 11.29982 28.14114 + 341 | 9.36136 3.848298 2.43 0.015 1.816928 16.90579 + 342 | 7.771529 6.749971 1.15 0.250 -5.461515 21.00457 + 343 | 2.368371 3.77237 0.63 0.530 -5.027207 9.763949 + 344 | 5.66124 5.308223 1.07 0.286 -4.745316 16.0678 + 398 | 23.34752 3.704346 6.30 0.000 16.0853 30.60974 + 399 | 9.112011 5.781014 1.58 0.115 -2.221433 20.44545 + 400 | 2.060121 3.88821 0.53 0.596 -5.562557 9.682799 + 401 | 1.03127 3.336511 0.31 0.757 -5.509824 7.572363 + 402 | 1.888555 3.070238 0.62 0.539 -4.130523 7.907632 + 403 | 5.115706 3.519517 1.45 0.146 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14.80005 + 603 | 7.194604 3.561252 2.02 0.043 .2129141 14.17629 + 604 | .2406065 4.367951 0.06 0.956 -8.322584 8.803797 + 606 | 10.27548 4.676695 2.20 0.028 1.107013 19.44396 + 607 | 8.275751 3.380379 2.45 0.014 1.648654 14.90285 + 609 | 5.847229 4.55458 1.28 0.199 -3.08184 14.7763 + 698 | -4.7516 3.510702 -1.35 0.176 -11.63419 2.130989 + 699 | 5.641248 4.341436 1.30 0.194 -2.86996 14.15246 + 700 | 2.932726 3.225949 0.91 0.363 -3.391615 9.257067 + 701 | 4.282725 3.405504 1.26 0.209 -2.393628 10.95908 + 703 | .4463168 3.124838 0.14 0.886 -5.6798 6.572434 + 704 | 3.200539 3.303333 0.97 0.333 -3.275511 9.676589 + 705 | 5.949793 3.455991 1.72 0.085 -.825538 12.72512 + 707 | 17.49554 4.93878 3.54 0.000 7.813263 27.17782 + 708 | 5.361567 4.313368 1.24 0.214 -3.094617 13.81775 + 709 | 12.50591 3.155056 3.96 0.000 6.320552 18.69127 + 710 | 4.240656 3.122304 1.36 0.174 -1.880494 10.36181 + 711 | 6.24766 3.550277 1.76 0.079 -.712513 13.20783 + 798 | 4.389123 4.103613 1.07 0.285 -3.655843 12.43409 + 799 | 1.342837 4.508841 0.30 0.766 -7.496562 10.18224 + 800 | -2.754288 3.118999 -0.88 0.377 -8.86896 3.360383 + 801 | -2.67016 3.560827 -0.75 0.453 -9.651016 4.310696 + 802 | -2.589466 3.105089 -0.83 0.404 -8.676868 3.497935 + 803 | 2.251837 3.009606 0.75 0.454 -3.648374 8.152048 + 805 | -.8700458 3.267957 -0.27 0.790 -7.276742 5.536651 + 806 | 2.893903 3.12454 0.93 0.354 -3.231631 9.019437 + 807 | 2.211008 3.263858 0.68 0.498 -4.187652 8.609668 + 898 | 2.236965 4.219963 0.53 0.596 -6.036101 10.51003 + 899 | -2.647284 4.291102 -0.62 0.537 -11.05982 5.765248 + 1000 | .5769243 3.95 0.15 0.884 -7.166891 8.320739 + 1001 | -.7966922 3.121607 -0.26 0.799 -6.916475 5.323091 + 1002 | 1.93048 3.289402 0.59 0.557 -4.518258 8.379218 + 1003 | 3.699871 3.113993 1.19 0.235 -2.404986 9.804729 + 1005 | 7.587392 4.303609 1.76 0.078 -.8496574 16.02444 + 1006 | 6.052602 3.575521 1.69 0.091 -.9570628 13.06227 + 1007 | .4092365 3.1214 0.13 0.896 -5.710142 6.528615 + 1010 | .3847737 3.750547 0.10 0.918 -6.968021 7.737568 + 1098 | -7.74625 3.392136 -2.28 0.022 -14.3964 -1.096105 + 1099 | 1.463099 5.005381 0.29 0.770 -8.349747 11.27594 + 1200 | 9.123848 5.037142 1.81 0.070 -.7512637 18.99896 + 1201 | 3.000496 3.498279 0.86 0.391 -3.857738 9.858731 + 1202 | .9897505 3.789315 0.26 0.794 -6.439048 8.418549 + 1203 | .2120466 3.157603 0.07 0.946 -5.978306 6.402399 + 1204 | 1.138915 3.129834 0.36 0.716 -4.996998 7.274827 + 1205 | 3.242882 3.439897 0.94 0.346 -3.500896 9.986661 + 1206 | .6087487 3.875211 0.16 0.875 -6.988445 8.205942 + 1207 | 4.957266 3.300858 1.50 0.133 -1.513932 11.42846 + 1208 | 11.03737 3.288997 3.36 0.001 4.589422 17.48531 + 1209 | 11.19389 3.210157 3.49 0.000 4.900509 17.48727 + 1210 | 6.125175 3.452824 1.77 0.076 -.6439464 12.8943 + 1211 | 6.916681 4.017043 1.72 0.085 -.9585691 14.79193 + 1299 | 9.228652 7.658837 1.20 0.228 -5.786188 24.24349 + 1300 | 12.06929 5.052151 2.39 0.017 2.164749 21.97382 + 1301 | 10.67897 3.824593 2.79 0.005 3.181013 18.17693 + 1302 | -1.901616 3.098896 -0.61 0.539 -7.976875 4.173643 + 1303 | 6.401138 3.22479 1.98 0.047 .079069 12.72321 + 1304 | 14.13197 4.253154 3.32 0.001 5.793836 22.4701 + 1305 | 14.24922 4.923151 2.89 0.004 4.597586 23.90086 + 1399 | 7.513462 9.64043 0.78 0.436 -11.38621 26.41313 + 1400 | 4.991667 3.591642 1.39 0.165 -2.049602 12.03294 + 1401 | 7.897827 3.676122 2.15 0.032 .6909385 15.10471 + 1403 | 6.308402 4.414091 1.43 0.153 -2.345243 14.96205 + 1404 | 1.345891 5.301851 0.25 0.800 -9.048172 11.73995 + 1405 | -.5644714 3.212143 -0.18 0.861 -6.861748 5.732805 + 1406 | 8.545605 3.930367 2.17 0.030 .8402804 16.25093 + 1407 | 3.479448 3.444894 1.01 0.313 -3.274126 10.23302 + 1408 | 3.250995 4.416776 0.74 0.462 -5.407915 11.9099 + 1409 | 14.76388 4.76521 3.10 0.002 5.421875 24.10588 + 1410 | 5.176405 3.592611 1.44 0.150 -1.866762 12.21957 + 1499 | -.780879 3.88803 -0.20 0.841 -8.403204 6.841446 + 1500 | 5.382598 5.142471 1.05 0.295 -4.699006 15.4642 + 1501 | 4.837313 3.176172 1.52 0.128 -1.389443 11.06407 + 1502 | 3.593547 3.287985 1.09 0.274 -2.852415 10.03951 + 1504 | 9.654821 3.821772 2.53 0.012 2.162392 17.14725 + 1505 | 3.821902 3.291531 1.16 0.246 -2.63101 10.27481 + 1507 | 1.195574 3.808591 0.31 0.754 -6.271014 8.662162 + 1520 | 3.764959 3.627224 1.04 0.299 -3.346065 10.87598 + 1521 | 3.841448 2.979681 1.29 0.197 -2.000095 9.682991 + 1522 | .7516659 3.380598 0.22 0.824 -5.87586 7.379192 + 1523 | 1.404176 2.952933 0.48 0.634 -4.384929 7.19328 + 1524 | 21.96135 10.8821 2.02 0.044 .6274379 43.29526 + 1525 | 6.713577 3.244526 2.07 0.039 .3528151 13.07434 + 1526 | 4.123956 3.805858 1.08 0.279 -3.337274 11.58519 + 1599 | 12.2229 5.069873 2.41 0.016 2.283618 22.16218 + 1600 | -4.493351 3.268513 -1.37 0.169 -10.90114 1.914436 + 1602 | 12.99057 7.196136 1.81 0.071 -1.117163 27.0983 + 1603 | -6.584526 4.634321 -1.42 0.155 -15.66992 2.500872 + 1604 | -2.874021 4.333826 -0.66 0.507 -11.37031 5.62227 + 1605 | 6.225245 4.277105 1.46 0.146 -2.159844 14.61034 + 1606 | 4.437028 4.86574 0.91 0.362 -5.102057 13.97611 + 1608 | 11.12945 3.327373 3.34 0.001 4.606273 17.65263 + 1609 | 11.71732 3.322672 3.53 0.000 5.203358 18.23129 + 1610 | 4.22527 4.631868 0.91 0.362 -4.85532 13.30586 + 1611 | -5.437222 3.317932 -1.64 0.101 -11.94189 1.067449 + 1612 | 5.718792 3.510324 1.63 0.103 -1.163054 12.60064 + 1614 | -2.508127 3.775608 -0.66 0.507 -9.910053 4.893799 + 1615 | .3849359 3.274279 0.12 0.906 -6.034155 6.804026 + 1616 | -5.18119 3.051917 -1.70 0.090 -11.16435 .8019694 + 1617 | -3.010811 3.690668 -0.82 0.415 -10.24622 4.224594 + 1619 | 3.767118 4.343004 0.87 0.386 -4.747164 12.2814 + 1620 | -2.996031 4.133661 -0.72 0.469 -11.0999 5.107842 + 1698 | -7.802038 3.373759 -2.31 0.021 -14.41615 -1.187921 + 1699 | 19.13811 5.229833 3.66 0.000 8.88524 29.39099 + 1700 | 6.313759 4.848574 1.30 0.193 -3.191673 15.81919 + 1701 | -.9326301 3.276899 -0.28 0.776 -7.356857 5.491596 + 1704 | .8692104 3.668582 0.24 0.813 -6.322896 8.061317 + 1705 | -1.289499 4.792198 -0.27 0.788 -10.68441 8.105411 + 1706 | 4.41951 3.469203 1.27 0.203 -2.38172 11.22074 + 1707 | 8.573386 3.559805 2.41 0.016 1.594534 15.55224 + 1708 | 1.092826 3.372611 0.32 0.746 -5.51904 7.704693 + 1709 | 8.411211 3.795903 2.22 0.027 .9694979 15.85292 + 1798 | 10.04143 4.748146 2.11 0.034 .7328805 19.34997 + 1799 | 2.628367 6.07255 0.43 0.665 -9.276621 14.53335 + 1800 | -.2371582 3.476949 -0.07 0.946 -7.053575 6.579258 + 1802 | 2.502825 3.173445 0.79 0.430 -3.718585 8.724235 + 1803 | 2.482642 3.642297 0.68 0.496 -4.657934 9.623217 + 1804 | -.8961058 3.33552 -0.27 0.788 -7.435256 5.643045 + 1806 | .876113 3.537494 0.25 0.804 -6.058999 7.811225 + 1807 | -8.832319 2.848788 -3.10 0.002 -14.41725 -3.247385 + 1808 | 9.517603 8.262695 1.15 0.249 -6.681075 25.71628 + 1899 | 21.04815 14.00968 1.50 0.133 -6.41725 48.51355 + 1900 | -.5420303 3.591593 -0.15 0.880 -7.583203 6.499143 + 1901 | 9.09695 3.499263 2.60 0.009 2.236787 15.95711 + 1902 | 8.676708 4.453567 1.95 0.051 -.0543284 17.40774 + 1905 | 23.75944 6.067726 3.92 0.000 11.86391 35.65497 + 1906 | 4.572314 3.58213 1.28 0.202 -2.450307 11.59493 + 1907 | 2.267482 4.336108 0.52 0.601 -6.233282 10.76825 + 1908 | 1.737398 5.34592 0.32 0.745 -8.743061 12.21786 + 1909 | .1112626 4.284136 0.03 0.979 -8.287612 8.510137 + 1910 | 5.793175 5.150208 1.12 0.261 -4.3036 15.88995 + 1911 | 13.946 6.958102 2.00 0.045 .3049224 27.58707 + 1912 | .5009531 12.95468 0.04 0.969 -24.89616 25.89807 + 1914 | 9.078209 4.164788 2.18 0.029 .9133113 17.24311 + 1915 | -8.389026 3.265262 -2.57 0.010 -14.79044 -1.987611 + 1919 | .6283829 3.987542 0.16 0.875 -7.18903 8.445796 + 1920 | 19.95821 5.676525 3.52 0.000 8.829615 31.08681 + 1925 | 15.91766 4.159569 3.83 0.000 7.762997 24.07233 + 1926 | 9.682962 3.858603 2.51 0.012 2.118328 17.2476 + 1927 | .6259841 3.468688 0.18 0.857 -6.174238 7.426207 + 1929 | 5.621837 4.093615 1.37 0.170 -2.403529 13.6472 + 1999 | 1.833797 8.485943 0.22 0.829 -14.80255 18.47014 + 2000 | -1.703657 3.292472 -0.52 0.605 -8.158415 4.751101 + 2001 | 3.562109 3.535063 1.01 0.314 -3.368239 10.49246 + 2002 | 3.955287 3.250452 1.22 0.224 -2.417092 10.32767 + 2003 | 18.94518 4.883842 3.88 0.000 9.370609 28.51976 + 2004 | 7.575113 3.209209 2.36 0.018 1.283589 13.86664 + 2005 | 1.265886 5.064322 0.25 0.803 -8.662512 11.19428 + 2006 | 79.1604 6.355015 12.46 0.000 66.70165 91.61914 + 2007 | 2.116633 3.651348 0.58 0.562 -5.041686 9.274953 + 2008 | 4.090722 2.926585 1.40 0.162 -1.646729 9.828174 + 2009 | 6.423624 5.654038 1.14 0.256 -4.660888 17.50814 + 2010 | -11.58049 2.979921 -3.89 0.000 -17.42251 -5.738479 + 2011 | 1.647429 3.082693 0.53 0.593 -4.396065 7.690923 + 2012 | 1.856283 3.186961 0.58 0.560 -4.391625 8.104191 + 2013 | 2.678732 3.532955 0.76 0.448 -4.247484 9.604947 + 2014 | 2.375622 3.975448 0.60 0.550 -5.418082 10.16932 + 2015 | -.1891972 3.675179 -0.05 0.959 -7.394236 7.015841 + 2030 | 20.06124 6.972663 2.88 0.004 6.39162 33.73086 + 2099 | 16.53627 6.451131 2.56 0.010 3.889086 29.18344 + 2100 | -.1113948 3.725022 -0.03 0.976 -7.414148 7.191359 + 2101 | 3.669803 2.967753 1.24 0.216 -2.148357 9.487962 + 2102 | -1.050394 2.996189 -0.35 0.726 -6.9243 4.823513 + 2103 | 1.033229 2.922647 0.35 0.724 -4.696502 6.76296 + 2104 | -3.382588 2.879622 -1.17 0.240 -9.027971 2.262794 + 2105 | 10.695 6.143451 1.74 0.082 -1.348985 22.73899 + 2199 | -4.823607 3.72084 -1.30 0.195 -12.11816 2.470949 + 9999 | 29.47948 9.188583 3.21 0.001 11.46564 47.49333 + | + house_administration | 2.789817 1.489662 1.87 0.061 -.1306045 5.710238 + house_agriculture | 2.524092 .8626714 2.93 0.003 .8328601 4.215325 + house_appropriations | 1.901147 3.211215 0.59 0.554 -4.39431 8.196603 + house_armedservices | 4.343143 1.14756 3.78 0.000 2.093397 6.592888 + house_budget | 4.057386 2.246285 1.81 0.071 -.3463651 8.461138 + house_dc | -4.662626 2.727039 -1.71 0.087 -10.00888 .683623 + house_educlabor | 3.895168 .7641846 5.10 0.000 2.397015 5.393321 + house_energycommerce | 4.864164 .5660954 8.59 0.000 3.754357 5.973971 + house_foreignaffairs | 4.503265 1.180413 3.81 0.000 2.189113 6.817416 + house_governmentop | 4.884043 1.806449 2.70 0.007 1.342574 8.425512 + house_intelligence | 7.220636 4.503752 1.60 0.109 -1.608786 16.05006 + house_interior | -.7337055 1.106882 -0.66 0.507 -2.903702 1.436291 + house_judiciary | 3.439539 .6087358 5.65 0.000 2.246138 4.632941 + house_mmf | 1.131058 1.302544 0.87 0.385 -1.422527 3.684643 + house_pocs | 3.973044 1.804747 2.20 0.028 .4349114 7.511176 + house_pwt | 2.888771 1.065191 2.71 0.007 .8005076 4.977034 + house_rules | 3.889577 1.395469 2.79 0.005 1.153816 6.625338 + house_sst | 4.638776 1.952994 2.38 0.018 .8100107 8.46754 + house_smallbusi | -4.302278 1.106801 -3.89 0.000 -6.472117 -2.13244 + house_soc | -1.69033 7.207115 -0.23 0.815 -15.81959 12.43893 + house_veterans | 1.194044 1.251093 0.95 0.340 -1.258672 3.64676 + house_waysandmeans | 2.931854 .5402391 5.43 0.000 1.872737 3.990971 +house_naturalresources | -.8316939 .9002406 -0.92 0.356 -2.596579 .9331911 + house_bfs | 1.117645 .8278382 1.35 0.177 -.5052983 2.740588 + house_eeo | .6982727 1.978514 0.35 0.724 -3.180524 4.577069 + house_govreform | 4.173436 .9509054 4.39 0.000 2.309225 6.037648 + house_ir | 3.982665 1.235242 3.22 0.001 1.561023 6.404308 + house_natsecur | 8.465342 2.716875 3.12 0.002 3.139019 13.79167 + house_oversight | .7969741 1.267909 0.63 0.530 -1.688711 3.282659 + house_resources | -1.599763 .7869258 -2.03 0.042 -3.142499 -.0570271 + house_science | -.5910822 1.105914 -0.53 0.593 -2.759181 1.577017 + house_transp | 1.139552 .7401031 1.54 0.124 -.31139 2.590494 + house_homeland | -1.142465 1.212827 -0.94 0.346 -3.520164 1.235233 + _cons | 7.414911 2.90552 2.55 0.011 1.718757 13.11106 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,791 1 0 1 1 +reg numb_cosponsors sponsor_female i.v2 i.minor house_* if sponsor_party==100 & tag_bill==1, robust cluster(group_sponsor) + +Linear regression Number of obs = 33,043 + F(268, 2504) = . + Prob > F = . + R-squared = 0.0836 + Root MSE = 34.429 + + (Std. Err. adjusted for 2,505 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | .6683327 .7574187 0.88 0.378 -.8168986 2.153564 + | + v2 | + 102 | -1.520463 1.113998 -1.36 0.172 -3.704915 .6639876 + 103 | -4.227932 1.075189 -3.93 0.000 -6.336283 -2.119582 + 104 | -7.179675 1.31507 -5.46 0.000 -9.75841 -4.600939 + 105 | -1.696464 1.349344 -1.26 0.209 -4.342409 .9494807 + 106 | -.4177303 1.563296 -0.27 0.789 -3.483216 2.647756 + 107 | -.4779226 1.487312 -0.32 0.748 -3.39441 2.438565 + 108 | -.7964106 1.517692 -0.52 0.600 -3.772471 2.17965 + 109 | -3.020291 1.423943 -2.12 0.034 -5.812517 -.2280646 + 110 | 1.546903 1.196727 1.29 0.196 -.7997725 3.893578 + 111 | -1.45169 1.201047 -1.21 0.227 -3.806836 .9034574 + | + minor | + 101 | -5.741237 5.054372 -1.14 0.256 -15.65242 4.169942 + 103 | -11.84009 4.922567 -2.41 0.016 -21.49281 -2.187365 + 104 | -2.285783 5.24055 -0.44 0.663 -12.56204 7.990474 + 105 | 1.023349 5.201824 0.20 0.844 -9.17697 11.22367 + 107 | 1.319773 4.804579 0.27 0.784 -8.101583 10.74113 + 108 | 7.470425 7.437295 1.00 0.315 -7.113456 22.05431 + 110 | -.4742378 7.635551 -0.06 0.950 -15.44688 14.49841 + 200 | 12.68232 5.830229 2.18 0.030 1.249754 24.11489 + 201 | 6.237913 6.823399 0.91 0.361 -7.14217 19.618 + 202 | 30.53258 7.726467 3.95 0.000 15.38166 45.6835 + 204 | 17.80319 11.43958 1.56 0.120 -4.628817 40.23519 + 205 | 77.19589 26.15379 2.95 0.003 25.9106 128.4812 + 206 | 4.185043 5.902028 0.71 0.478 -7.388314 15.7584 + 207 | 24.44066 7.163339 3.41 0.001 10.39399 38.48734 + 208 | .9206065 5.065349 0.18 0.856 -9.012097 10.85331 + 209 | 19.8462 12.81908 1.55 0.122 -5.290879 44.98329 + 299 | 11.0576 11.93334 0.93 0.354 -12.34264 34.45783 + 300 | 7.687475 5.925714 1.30 0.195 -3.932328 19.30728 + 301 | 4.551414 5.046085 0.90 0.367 -5.343513 14.44634 + 302 | 8.644557 5.043052 1.71 0.087 -1.244424 18.53354 + 321 | 2.498118 5.06874 0.49 0.622 -7.441235 12.43747 + 322 | -2.09686 4.857482 -0.43 0.666 -11.62195 7.428234 + 323 | 14.7909 5.717322 2.59 0.010 3.579734 26.00206 + 324 | -3.179204 5.050625 -0.63 0.529 -13.08303 6.724626 + 325 | 5.559852 5.114436 1.09 0.277 -4.469106 15.58881 + 331 | 20.19692 5.582028 3.62 0.000 9.251055 31.14279 + 332 | 12.52048 5.092589 2.46 0.014 2.53436 22.50659 + 333 | 17.61896 6.235792 2.83 0.005 5.391122 29.8468 + 334 | 11.01292 5.147468 2.14 0.032 .9191901 21.10665 + 335 | 7.016247 5.410753 1.30 0.195 -3.593763 17.62626 + 336 | 16.62733 6.022186 2.76 0.006 4.818354 28.4363 + 341 | 7.495143 5.50897 1.36 0.174 -3.307462 18.29775 + 342 | 5.615209 8.796974 0.64 0.523 -11.63488 22.8653 + 343 | 4.025324 5.953656 0.68 0.499 -7.64927 15.69992 + 344 | -1.362114 6.303059 -0.22 0.829 -13.72186 10.99763 + 398 | 23.93569 5.686302 4.21 0.000 12.78536 35.08603 + 399 | 8.948296 7.613949 1.18 0.240 -5.981987 23.87858 + 400 | 3.082908 6.055543 0.51 0.611 -8.791478 14.95729 + 401 | .2754107 5.441311 0.05 0.960 -10.39452 10.94534 + 402 | -.8031992 4.850986 -0.17 0.869 -10.31555 8.709156 + 403 | 1.232694 4.966752 0.25 0.804 -8.506669 10.97206 + 404 | -.5284299 5.405501 -0.10 0.922 -11.12814 10.07128 + 405 | 32.15837 10.08055 3.19 0.001 12.3913 51.92544 + 498 | 19.79925 13.19842 1.50 0.134 -6.081687 45.68019 + 499 | 3.39672 9.216552 0.37 0.712 -14.67613 21.46957 + 500 | 1.813835 7.116752 0.25 0.799 -12.14149 15.76916 + 501 | 1.502398 5.281529 0.28 0.776 -8.854215 11.85901 + 502 | 6.758092 5.632972 1.20 0.230 -4.287668 17.80385 + 503 | 5.644832 4.69207 1.20 0.229 -3.555903 14.84557 + 504 | 26.98041 7.941085 3.40 0.001 11.40864 42.55217 + 505 | 14.02417 6.507838 2.15 0.031 1.262869 26.78546 + 506 | 15.03058 6.346601 2.37 0.018 2.585456 27.47571 + 508 | 5.017221 5.361103 0.94 0.349 -5.49543 15.52987 + 529 | 5.930147 7.833715 0.76 0.449 -9.431078 21.29137 + 530 | 3.197743 4.801818 0.67 0.506 -6.2182 12.61369 + 599 | 4.244864 7.236777 0.59 0.558 -9.945817 18.43555 + 600 | 3.341635 5.216137 0.64 0.522 -6.88675 13.57002 + 601 | 5.157969 4.751705 1.09 0.278 -4.159705 14.47564 + 602 | 7.844708 4.845979 1.62 0.106 -1.65783 17.34724 + 603 | 4.629672 5.273524 0.88 0.380 -5.711244 14.97059 + 604 | -.5223181 6.852444 -0.08 0.939 -13.95936 12.91472 + 606 | 9.673673 7.539704 1.28 0.200 -5.111021 24.45837 + 607 | 3.145343 4.945725 0.64 0.525 -6.552788 12.84347 + 609 | 2.93894 7.222898 0.41 0.684 -11.22453 17.10241 + 698 | -9.576187 4.961935 -1.93 0.054 -19.3061 .1537297 + 699 | 5.617852 6.280634 0.89 0.371 -6.697918 17.93362 + 700 | 4.278373 5.115193 0.84 0.403 -5.752069 14.30882 + 701 | 5.095249 5.382422 0.95 0.344 -5.459206 15.6497 + 703 | -.5353307 4.942461 -0.11 0.914 -10.22706 9.1564 + 704 | 3.355809 5.202999 0.64 0.519 -6.846814 13.55843 + 705 | 8.173802 5.667366 1.44 0.149 -2.939403 19.28701 + 707 | 17.82367 6.61407 2.69 0.007 4.854064 30.79328 + 708 | 1.906667 5.427716 0.35 0.725 -8.736604 12.54994 + 709 | 16.72894 5.084998 3.29 0.001 6.757706 26.70017 + 710 | 5.204538 5.084815 1.02 0.306 -4.766335 15.17541 + 711 | 10.78577 6.409004 1.68 0.093 -1.781723 23.35326 + 798 | 1.77463 5.694566 0.31 0.755 -9.391913 12.94117 + 799 | -.703712 7.557864 -0.09 0.926 -15.52402 14.11659 + 800 | -2.00834 5.018848 -0.40 0.689 -11.84986 7.833179 + 801 | -1.61828 5.478702 -0.30 0.768 -12.36153 9.124971 + 802 | -1.534344 5.040703 -0.30 0.761 -11.41872 8.350031 + 803 | -1.265038 4.769562 -0.27 0.791 -10.61773 8.087653 + 805 | .0869966 5.234948 0.02 0.987 -10.17828 10.35227 + 806 | .1858906 4.855943 0.04 0.969 -9.336186 9.707967 + 807 | 1.484935 5.124018 0.29 0.772 -8.562812 11.53268 + 898 | 8.787092 7.300959 1.20 0.229 -5.529445 23.10363 + 899 | -1.316686 7.802558 -0.17 0.866 -16.61681 13.98344 + 1000 | -1.241016 5.299252 -0.23 0.815 -11.63238 9.15035 + 1001 | -2.488388 4.9907 -0.50 0.618 -12.27471 7.297935 + 1002 | -.5973534 5.119513 -0.12 0.907 -10.63627 9.44156 + 1003 | 2.761821 4.965678 0.56 0.578 -6.975436 12.49908 + 1005 | 8.039211 6.5672 1.22 0.221 -4.838488 20.91691 + 1006 | 2.523282 5.447414 0.46 0.643 -8.158615 13.20518 + 1007 | .8821192 5.060065 0.17 0.862 -9.040223 10.80446 + 1010 | .2982606 5.504933 0.05 0.957 -10.49643 11.09295 + 1098 | -7.974043 5.396386 -1.48 0.140 -18.55588 2.607794 + 1099 | 2.488035 8.816459 0.28 0.778 -14.80026 19.77633 + 1200 | 9.68695 7.868106 1.23 0.218 -5.741713 25.11561 + 1201 | 2.931664 5.547317 0.53 0.597 -7.946136 13.80946 + 1202 | -.0908239 5.858212 -0.02 0.988 -11.57826 11.39661 + 1203 | -1.898086 4.978095 -0.38 0.703 -11.65969 7.86352 + 1204 | -.7542116 5.050002 -0.15 0.881 -10.65682 9.148397 + 1205 | -.3373948 5.221961 -0.06 0.948 -10.5772 9.902409 + 1206 | .9981557 5.955072 0.17 0.867 -10.67921 12.67553 + 1207 | 2.640394 5.457904 0.48 0.629 -8.062075 13.34286 + 1208 | 6.533558 4.94796 1.32 0.187 -3.168956 16.23607 + 1209 | 5.110801 4.893875 1.04 0.296 -4.485657 14.70726 + 1210 | 2.31348 5.236517 0.44 0.659 -7.954868 12.58183 + 1211 | 5.344492 6.154384 0.87 0.385 -6.723712 17.4127 + 1299 | 13.59644 11.82423 1.15 0.250 -9.589834 36.78272 + 1300 | 12.28109 6.969977 1.76 0.078 -1.386422 25.9486 + 1301 | 8.578906 5.318879 1.61 0.107 -1.850947 19.00876 + 1302 | -3.5508 4.852461 -0.73 0.464 -13.06605 5.964448 + 1303 | 6.201528 5.261672 1.18 0.239 -4.116148 16.5192 + 1304 | 8.943785 5.490828 1.63 0.103 -1.823245 19.71082 + 1305 | 3.892243 5.813945 0.67 0.503 -7.508391 15.29288 + 1399 | 18.60581 21.08693 0.88 0.378 -22.7438 59.95541 + 1400 | 1.85867 5.281894 0.35 0.725 -8.498658 12.216 + 1401 | 4.435702 5.072347 0.87 0.382 -5.510723 14.38213 + 1403 | 6.938375 6.08125 1.14 0.254 -4.986419 18.86317 + 1404 | 4.285692 9.230588 0.46 0.642 -13.81468 22.38606 + 1405 | -1.257556 5.130564 -0.25 0.806 -11.31814 8.803028 + 1406 | 5.102685 5.477838 0.93 0.352 -5.638873 15.84424 + 1407 | 2.985868 5.34096 0.56 0.576 -7.487283 13.45902 + 1408 | -2.271919 5.340555 -0.43 0.671 -12.74428 8.200439 + 1409 | 17.92736 7.278799 2.46 0.014 3.65428 32.20045 + 1410 | -.5524407 5.050103 -0.11 0.913 -10.45525 9.350367 + 1499 | -5.467009 5.521964 -0.99 0.322 -16.29509 5.361076 + 1500 | 3.146644 7.640864 0.41 0.681 -11.83642 18.1297 + 1501 | .9816869 4.879321 0.20 0.841 -8.586232 10.54961 + 1502 | 3.757965 5.137074 0.73 0.465 -6.315385 13.83131 + 1504 | 7.137365 5.550416 1.29 0.199 -3.746513 18.02124 + 1505 | -.8819669 5.014695 -0.18 0.860 -10.71534 8.951408 + 1507 | -4.091405 5.371625 -0.76 0.446 -14.62469 6.441878 + 1520 | .3083718 5.117072 0.06 0.952 -9.725755 10.3425 + 1521 | 1.320346 4.76826 0.28 0.782 -8.029792 10.67048 + 1522 | -1.752001 5.041252 -0.35 0.728 -11.63745 8.13345 + 1523 | .8044348 4.775929 0.17 0.866 -8.560742 10.16961 + 1524 | 15.62968 12.82173 1.22 0.223 -9.512591 40.77196 + 1525 | 5.832656 4.962694 1.18 0.240 -3.89875 15.56406 + 1526 | -2.165765 5.158304 -0.42 0.675 -12.28074 7.949214 + 1599 | 8.529112 6.638904 1.28 0.199 -4.489193 21.54742 + 1600 | -3.902495 4.930269 -0.79 0.429 -13.57032 5.765329 + 1602 | 10.40816 9.567603 1.09 0.277 -8.353068 29.16938 + 1603 | -12.34851 7.316761 -1.69 0.092 -26.69603 1.999014 + 1604 | -10.3037 4.877625 -2.11 0.035 -19.86829 -.7391071 + 1605 | 3.971192 5.960485 0.67 0.505 -7.716793 15.65918 + 1606 | 4.737722 7.000485 0.68 0.499 -8.989612 18.46506 + 1608 | 3.841347 4.88085 0.79 0.431 -5.729569 13.41226 + 1609 | 8.489963 5.186087 1.64 0.102 -1.679497 18.65942 + 1610 | 1.586556 5.903605 0.27 0.788 -9.989893 13.16301 + 1611 | -8.329184 4.820806 -1.73 0.084 -17.78236 1.123992 + 1612 | 3.117561 5.270889 0.59 0.554 -7.218187 13.45331 + 1614 | -1.261234 5.598889 -0.23 0.822 -12.24016 9.717693 + 1615 | .3439412 5.258941 0.07 0.948 -9.968378 10.65626 + 1616 | -5.313108 4.944391 -1.07 0.283 -15.00862 4.382407 + 1617 | -7.240698 5.147077 -1.41 0.160 -17.33366 2.852267 + 1619 | -1.231939 6.12193 -0.20 0.841 -13.2365 10.77263 + 1620 | -1.860183 6.320078 -0.29 0.769 -14.2533 10.53293 + 1698 | -8.508353 5.143478 -1.65 0.098 -18.59426 1.577554 + 1699 | 26.96139 7.843548 3.44 0.001 11.58089 42.3419 + 1700 | 5.481861 6.154562 0.89 0.373 -6.586692 17.55041 + 1701 | -.59466 5.153312 -0.12 0.908 -10.69985 9.510531 + 1704 | -.3778313 7.137778 -0.05 0.958 -14.37438 13.61872 + 1705 | 2.399571 7.260022 0.33 0.741 -11.83669 16.63583 + 1706 | .4872953 5.163334 0.09 0.925 -9.637548 10.61214 + 1707 | 3.520522 5.057639 0.70 0.486 -6.397063 13.43811 + 1708 | 2.75581 5.701789 0.48 0.629 -8.424896 13.93652 + 1709 | .5045598 5.201612 0.10 0.923 -9.695343 10.70446 + 1798 | 10.96155 7.477271 1.47 0.143 -3.700723 25.62381 + 1799 | 6.057119 9.540907 0.63 0.526 -12.65176 24.766 + 1800 | .7443984 5.601124 0.13 0.894 -10.23891 11.72771 + 1802 | 3.029256 5.190109 0.58 0.560 -7.148091 13.2066 + 1803 | 1.128651 5.348338 0.21 0.833 -9.358969 11.61627 + 1804 | -2.54442 5.224852 -0.49 0.626 -12.78989 7.701054 + 1806 | 2.308333 5.71621 0.40 0.686 -8.900651 13.51732 + 1807 | -8.875348 4.697492 -1.89 0.059 -18.08672 .3360186 + 1808 | 14.68244 13.71748 1.07 0.285 -12.21633 41.58121 + 1899 | 33.26562 21.70204 1.53 0.125 -9.29017 75.82141 + 1900 | 1.073538 5.460262 0.20 0.844 -9.633555 11.78063 + 1901 | 13.48335 5.591273 2.41 0.016 2.519356 24.44734 + 1902 | 5.641773 6.284076 0.90 0.369 -6.680747 17.96429 + 1905 | 25.04521 7.939068 3.15 0.002 9.477399 40.61302 + 1906 | 5.589757 5.54837 1.01 0.314 -5.290107 16.46962 + 1907 | 6.588399 8.83901 0.75 0.456 -10.74412 23.92092 + 1908 | 1.372466 7.38978 0.19 0.853 -13.11824 15.86317 + 1909 | -1.348252 6.728998 -0.20 0.841 -14.54322 11.84672 + 1910 | -2.362374 5.902284 -0.40 0.689 -13.93623 9.211485 + 1911 | 17.73379 9.698906 1.83 0.068 -1.284905 36.75249 + 1912 | .3721285 16.88756 0.02 0.982 -32.7429 33.48715 + 1914 | 9.037356 6.236125 1.45 0.147 -3.191136 21.26585 + 1915 | -7.365219 5.012517 -1.47 0.142 -17.19432 2.463886 + 1919 | 3.454472 8.463319 0.41 0.683 -13.14135 20.05029 + 1920 | 13.60243 7.479124 1.82 0.069 -1.063474 28.26833 + 1925 | 15.52937 6.341844 2.45 0.014 3.093574 27.96517 + 1926 | 16.41909 7.179744 2.29 0.022 2.340243 30.49793 + 1927 | -.5253413 5.653006 -0.09 0.926 -11.61039 10.55971 + 1929 | .6010996 5.993485 0.10 0.920 -11.1516 12.3538 + 1999 | 5.065487 15.60002 0.32 0.745 -25.52478 35.65576 + 2000 | -1.228078 5.04433 -0.24 0.808 -11.11957 8.663409 + 2001 | 3.401101 5.881907 0.58 0.563 -8.1328 14.935 + 2002 | 1.596253 5.301962 0.30 0.763 -8.800426 11.99293 + 2003 | 22.24284 7.595325 2.93 0.003 7.349073 37.1366 + 2004 | 9.725907 5.163262 1.88 0.060 -.3987952 19.85061 + 2005 | -5.517621 5.483767 -1.01 0.314 -16.27081 5.235563 + 2006 | 78.36064 9.224035 8.50 0.000 60.27312 96.44816 + 2007 | -1.290519 5.352146 -0.24 0.809 -11.78561 9.204568 + 2008 | 2.692242 4.733516 0.57 0.570 -6.589765 11.97425 + 2009 | 8.827297 9.666939 0.91 0.361 -10.12872 27.78331 + 2010 | -14.63176 4.78903 -3.06 0.002 -24.02262 -5.24089 + 2011 | -2.043288 5.073054 -0.40 0.687 -11.9911 7.904523 + 2012 | 1.348541 5.150792 0.26 0.793 -8.751709 11.44879 + 2013 | 4.536616 5.301617 0.86 0.392 -5.859388 14.93262 + 2014 | 5.911921 7.156655 0.83 0.409 -8.121648 19.94549 + 2015 | .0944537 5.528869 0.02 0.986 -10.74717 10.93608 + 2030 | 19.57058 8.989288 2.18 0.030 1.943379 37.19778 + 2099 | 20.33578 9.431521 2.16 0.031 1.841397 38.83016 + 2100 | -1.219714 5.559648 -0.22 0.826 -12.12169 9.682266 + 2101 | 2.306009 4.84033 0.48 0.634 -7.185452 11.79747 + 2102 | -.4801568 4.990629 -0.10 0.923 -10.26634 9.306026 + 2103 | 3.728588 4.83778 0.77 0.441 -5.757872 13.21505 + 2104 | -4.222787 4.734681 -0.89 0.373 -13.50708 5.061506 + 2105 | 10.79704 9.6271 1.12 0.262 -8.080852 29.67494 + 2199 | -9.599318 4.781246 -2.01 0.045 -18.97492 -.2237157 + 9999 | 28.18049 11.98554 2.35 0.019 4.677902 51.68308 + | + house_administration | 4.947844 2.345163 2.11 0.035 .3491862 9.546502 + house_agriculture | 1.467937 1.107244 1.33 0.185 -.7032704 3.639144 + house_appropriations | -3.733037 1.720287 -2.17 0.030 -7.106369 -.3597056 + house_armedservices | 4.117398 1.47442 2.79 0.005 1.22619 7.008607 + house_budget | 1.383556 2.283237 0.61 0.545 -3.093671 5.860784 + house_dc | -10.6699 4.811598 -2.22 0.027 -20.10502 -1.234779 + house_educlabor | 5.339748 .971127 5.50 0.000 3.435453 7.244042 + house_energycommerce | 4.093469 .7242219 5.65 0.000 2.673334 5.513604 + house_foreignaffairs | 5.077698 1.604239 3.17 0.002 1.931927 8.223469 + house_governmentop | 2.922677 1.970642 1.48 0.138 -.9415789 6.786933 + house_intelligence | 9.187399 6.468482 1.42 0.156 -3.496724 21.87152 + house_interior | -1.818611 1.618446 -1.12 0.261 -4.992241 1.35502 + house_judiciary | 2.936853 .8204981 3.58 0.000 1.327928 4.545777 + house_mmf | -.0600127 1.789101 -0.03 0.973 -3.568282 3.448256 + house_pocs | 3.74977 2.415984 1.55 0.121 -.9877606 8.487301 + house_pwt | 2.462302 1.407301 1.75 0.080 -.2972909 5.221896 + house_rules | 4.170104 1.961127 2.13 0.034 .3245062 8.015702 + house_sst | 4.029397 2.149445 1.87 0.061 -.1854755 8.244269 + house_smallbusi | -3.554686 1.3811 -2.57 0.010 -6.262902 -.8464711 + house_soc | 5.322397 11.20726 0.47 0.635 -16.65405 27.29884 + house_veterans | 1.25227 1.712718 0.73 0.465 -2.106219 4.610759 + house_waysandmeans | 2.306661 .7034002 3.28 0.001 .9273551 3.685967 +house_naturalresources | -2.045568 1.328593 -1.54 0.124 -4.650821 .5596845 + house_bfs | 1.388909 1.095908 1.27 0.205 -.7600689 3.537887 + house_eeo | -1.607912 1.852401 -0.87 0.385 -5.240306 2.024483 + house_govreform | 6.913149 1.468938 4.71 0.000 4.032691 9.793606 + house_ir | 3.797374 1.709735 2.22 0.026 .4447341 7.150014 + house_natsecur | 9.553772 3.497668 2.73 0.006 2.695154 16.41239 + house_oversight | -3.37068 1.815183 -1.86 0.063 -6.930094 .1887343 + house_resources | 1.314733 1.400259 0.94 0.348 -1.431051 4.060517 + house_science | -1.462344 1.410557 -1.04 0.300 -4.228322 1.303635 + house_transp | .0917263 .9777617 0.09 0.925 -1.825578 2.009031 + house_homeland | -1.287117 1.629391 -0.79 0.430 -4.482209 1.907975 + _cons | 10.47967 4.707984 2.23 0.026 1.247726 19.71161 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,505 1 0 1 1 +reg numb_cosponsors sponsor_female i.v2 i.minor house_* if sponsor_party==200 & tag_bill==1, robust cluster(group_sponsor) + +Linear regression Number of obs = 28,118 + F(267, 2272) = . + Prob > F = . + R-squared = 0.0963 + Root MSE = 34.417 + + (Std. Err. adjusted for 2,273 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 2.810755 .9629504 2.92 0.004 .9224006 4.699109 + | + v2 | + 102 | -.4409661 1.451506 -0.30 0.761 -3.287382 2.40545 + 103 | -.2271499 1.370408 -0.17 0.868 -2.914531 2.460232 + 104 | 1.690015 1.335281 1.27 0.206 -.9284832 4.308513 + 105 | 3.355065 1.339711 2.50 0.012 .7278807 5.98225 + 106 | 4.009379 1.418938 2.83 0.005 1.226829 6.791929 + 107 | 4.015727 1.362203 2.95 0.003 1.344436 6.687019 + 108 | 3.076417 1.325798 2.32 0.020 .4765152 5.676319 + 109 | 2.797655 1.205725 2.32 0.020 .4332183 5.162092 + 110 | -1.828502 1.25175 -1.46 0.144 -4.283194 .6261892 + 111 | -2.898273 1.380176 -2.10 0.036 -5.604811 -.1917354 + | + minor | + 101 | -4.775825 4.28261 -1.12 0.265 -13.17406 3.62241 + 103 | 6.399635 11.2062 0.57 0.568 -15.57582 28.37509 + 104 | 3.329222 4.739931 0.70 0.483 -5.965824 12.62427 + 105 | 10.96187 6.649246 1.65 0.099 -2.077363 24.0011 + 107 | 10.69638 3.577196 2.99 0.003 3.681468 17.71129 + 108 | .5114359 4.658667 0.11 0.913 -8.62425 9.647121 + 110 | 13.41118 17.06458 0.79 0.432 -20.05261 46.87498 + 200 | 7.818397 4.773477 1.64 0.102 -1.542433 17.17923 + 201 | 1.984812 7.641552 0.26 0.795 -13.00034 16.96996 + 202 | 37.99693 13.32926 2.85 0.004 11.85812 64.13573 + 204 | 6.741324 4.991806 1.35 0.177 -3.047651 16.5303 + 205 | 41.76223 21.30425 1.96 0.050 -.0155821 83.54005 + 206 | 19.69753 7.243673 2.72 0.007 5.492622 33.90243 + 207 | 24.36633 5.552538 4.39 0.000 13.47775 35.2549 + 208 | 6.45335 4.221958 1.53 0.127 -1.825947 14.73265 + 209 | -11.28817 3.578902 -3.15 0.002 -18.30643 -4.269917 + 299 | 71.4483 17.22455 4.15 0.000 37.6708 105.2258 + 300 | 7.223208 5.664353 1.28 0.202 -3.884637 18.33105 + 301 | 8.959634 4.536423 1.98 0.048 .0636696 17.8556 + 302 | 12.0885 3.924446 3.08 0.002 4.392626 19.78437 + 321 | 13.55137 4.869644 2.78 0.005 4.001957 23.10078 + 322 | 5.217488 4.146977 1.26 0.208 -2.914771 13.34975 + 323 | 13.12382 5.413617 2.42 0.015 2.507671 23.73997 + 324 | 3.331248 4.972399 0.67 0.503 -6.419669 13.08217 + 325 | 7.345375 4.347496 1.69 0.091 -1.180103 15.87085 + 331 | 24.77349 5.63072 4.40 0.000 13.73159 35.81538 + 332 | 12.7861 4.398425 2.91 0.004 4.160754 21.41145 + 333 | 8.712368 7.277268 1.20 0.231 -5.558418 22.98315 + 334 | 15.10116 4.776258 3.16 0.002 5.734879 24.46745 + 335 | 11.62661 5.728937 2.03 0.043 .392118 22.86111 + 336 | 24.28772 6.802419 3.57 0.000 10.94812 37.62732 + 341 | 13.29667 6.290858 2.11 0.035 .960245 25.6331 + 342 | 13.24275 8.644917 1.53 0.126 -3.710008 30.19551 + 343 | -.0597917 4.688642 -0.01 0.990 -9.254259 9.134676 + 344 | 39.51877 11.5622 3.42 0.001 16.84519 62.19234 + 398 | 21.57645 4.885182 4.42 0.000 11.99656 31.15633 + 399 | 8.84281 9.408336 0.94 0.347 -9.607018 27.29264 + 400 | .361234 4.956788 0.07 0.942 -9.35907 10.08154 + 401 | 1.762389 4.037483 0.44 0.663 -6.15515 9.679927 + 402 | 4.306915 3.910575 1.10 0.271 -3.361757 11.97559 + 403 | 15.879 7.665425 2.07 0.038 .8470361 30.91096 + 404 | 10.97408 7.119777 1.54 0.123 -2.987862 24.93603 + 405 | 16.35848 9.577042 1.71 0.088 -2.422187 35.13914 + 498 | 7.168527 8.06539 0.89 0.374 -8.647774 22.98483 + 499 | 17.27181 11.30219 1.53 0.127 -4.891886 39.4355 + 500 | 3.832664 5.70829 0.67 0.502 -7.361342 15.02667 + 501 | 11.81111 5.057859 2.34 0.020 1.892607 21.72962 + 502 | 3.351453 4.07171 0.82 0.411 -4.633206 11.33611 + 503 | 8.294391 4.023942 2.06 0.039 .403405 16.18538 + 504 | 22.49185 5.553629 4.05 0.000 11.60113 33.38256 + 505 | 8.124084 4.044728 2.01 0.045 .1923381 16.05583 + 506 | 9.564284 6.668717 1.43 0.152 -3.513128 22.6417 + 508 | -1.227146 3.993862 -0.31 0.759 -9.059143 6.604852 + 529 | 15.70253 7.648339 2.05 0.040 .7040744 30.70099 + 530 | 6.396164 3.709614 1.72 0.085 -.8784202 13.67075 + 599 | 17.00694 8.885622 1.91 0.056 -.4178446 34.43172 + 600 | 11.84285 5.261776 2.25 0.024 1.524465 22.16124 + 601 | 8.08949 3.727314 2.17 0.030 .7801953 15.39878 + 602 | 9.269244 3.950589 2.35 0.019 1.522105 17.01638 + 603 | 9.624271 5.321105 1.81 0.071 -.8104611 20.059 + 604 | .4256112 4.032507 0.11 0.916 -7.482169 8.333392 + 606 | 12.05951 5.43777 2.22 0.027 1.395998 22.72303 + 607 | 16.93928 5.421366 3.12 0.002 6.307935 27.57063 + 609 | 8.877203 5.486714 1.62 0.106 -1.882292 19.6367 + 698 | 1.91511 6.173912 0.31 0.756 -10.19198 14.0222 + 699 | 3.276064 5.984855 0.55 0.584 -8.460289 15.01242 + 700 | .3575725 4.034749 0.09 0.929 -7.554606 8.269751 + 701 | 2.129798 4.250465 0.50 0.616 -6.2054 10.465 + 703 | .6846482 3.955239 0.17 0.863 -7.071609 8.440905 + 704 | 2.135212 4.186212 0.51 0.610 -6.073986 10.34441 + 705 | 2.123492 4.047609 0.52 0.600 -5.813904 10.06089 + 707 | 10.88716 7.536167 1.44 0.149 -3.891328 25.66565 + 708 | 13.59075 11.1579 1.22 0.223 -8.289982 35.47149 + 709 | 7.312779 3.774347 1.94 0.053 -.0887476 14.71431 + 710 | 2.307794 3.768473 0.61 0.540 -5.082215 9.697802 + 711 | 2.377075 3.817031 0.62 0.534 -5.108155 9.862305 + 798 | 6.600377 6.611832 1.00 0.318 -6.365482 19.56624 + 799 | 2.380222 4.350472 0.55 0.584 -6.151091 10.91153 + 800 | -4.877534 3.831898 -1.27 0.203 -12.39192 2.636851 + 801 | -4.767937 4.69764 -1.01 0.310 -13.98005 4.444176 + 802 | -4.559563 3.789829 -1.20 0.229 -11.99145 2.872325 + 803 | 5.158677 3.830106 1.35 0.178 -2.352194 12.66955 + 805 | -3.590337 3.866259 -0.93 0.353 -11.1721 3.991429 + 806 | 5.389442 4.164388 1.29 0.196 -2.77696 13.55584 + 807 | 1.637731 4.169665 0.39 0.695 -6.539018 9.81448 + 898 | -4.600149 3.889838 -1.18 0.237 -12.22815 3.027856 + 899 | -5.572147 4.409844 -1.26 0.207 -14.21989 3.075596 + 1000 | .8229991 5.886462 0.14 0.889 -10.7204 12.3664 + 1001 | 1.308731 3.924021 0.33 0.739 -6.386308 9.00377 + 1002 | 3.499854 4.20875 0.83 0.406 -4.753541 11.75325 + 1003 | 3.695054 3.942207 0.94 0.349 -4.035649 11.42576 + 1005 | 4.844262 5.429949 0.89 0.372 -5.803915 15.49244 + 1006 | 10.46864 4.718285 2.22 0.027 1.216045 19.72124 + 1007 | -.6217167 3.823379 -0.16 0.871 -8.119397 6.875963 + 1010 | .8569433 5.610182 0.15 0.879 -10.14467 11.85856 + 1098 | -9.506695 3.892634 -2.44 0.015 -17.14018 -1.873205 + 1099 | -.8894545 6.530998 -0.14 0.892 -13.6968 11.91789 + 1200 | 7.6901 6.307726 1.22 0.223 -4.679405 20.0596 + 1201 | 2.512046 4.424304 0.57 0.570 -6.164053 11.18815 + 1202 | .9861166 4.995236 0.20 0.844 -8.809584 10.78182 + 1203 | 1.727257 4.02898 0.43 0.668 -6.173608 9.628122 + 1204 | 1.899048 3.861253 0.49 0.623 -5.672903 9.471 + 1205 | 5.067333 4.537791 1.12 0.264 -3.831314 13.96598 + 1206 | -2.106962 4.08815 -0.52 0.606 -10.12386 5.909934 + 1207 | 6.440666 4.036943 1.60 0.111 -1.475813 14.35715 + 1208 | 16.91344 4.767806 3.55 0.000 7.563727 26.26315 + 1209 | 20.58831 4.481653 4.59 0.000 11.79975 29.37687 + 1210 | 9.007993 4.559263 1.98 0.048 .067238 17.94875 + 1211 | 8.087012 5.188878 1.56 0.119 -2.088422 18.26245 + 1299 | .7752818 6.299303 0.12 0.902 -11.57771 13.12827 + 1300 | 10.43281 7.52556 1.39 0.166 -4.324876 25.1905 + 1301 | 13.44508 7.488441 1.80 0.073 -1.239822 28.12997 + 1302 | -.3569281 4.1877 -0.09 0.932 -8.569045 7.855189 + 1303 | 6.02393 3.898411 1.55 0.122 -1.620888 13.66875 + 1304 | 21.21596 7.418452 2.86 0.004 6.668307 35.7636 + 1305 | 31.03246 9.363539 3.31 0.001 12.67047 49.39444 + 1399 | -1.755186 4.914725 -0.36 0.721 -11.39301 7.882632 + 1400 | 8.447997 5.355879 1.58 0.115 -2.054927 18.95092 + 1401 | 12.08437 6.005152 2.01 0.044 .3082157 23.86053 + 1403 | 1.423551 7.370919 0.19 0.847 -13.03088 15.87799 + 1404 | -1.483494 5.032109 -0.29 0.768 -11.3515 8.384516 + 1405 | -.3392527 3.92928 -0.09 0.931 -8.044604 7.366099 + 1406 | 8.761075 6.026703 1.45 0.146 -3.057342 20.57949 + 1407 | 1.792768 4.25563 0.42 0.674 -6.55256 10.1381 + 1408 | 9.458166 8.136085 1.16 0.245 -6.496767 25.4131 + 1409 | 10.69696 5.747631 1.86 0.063 -.5741968 21.96811 + 1410 | 11.50244 5.382817 2.14 0.033 .9466916 22.05819 + 1499 | 2.096375 5.748222 0.36 0.715 -9.175938 13.36869 + 1500 | 6.651103 7.058147 0.94 0.346 -7.189984 20.49219 + 1501 | 8.962881 4.408295 2.03 0.042 .318175 17.60759 + 1502 | 2.404316 4.294622 0.56 0.576 -6.017475 10.82611 + 1504 | 12.34036 5.816791 2.12 0.034 .9335821 23.74714 + 1505 | 8.354839 4.439137 1.88 0.060 -.3503476 17.06003 + 1507 | 4.48624 5.286312 0.85 0.396 -5.880264 14.85274 + 1520 | 6.070975 5.706013 1.06 0.287 -5.118566 17.26052 + 1521 | 6.32352 3.785034 1.67 0.095 -1.098964 13.746 + 1522 | 1.456684 4.598006 0.32 0.751 -7.560045 10.47341 + 1523 | 1.32665 3.676082 0.36 0.718 -5.882178 8.535478 + 1524 | 32.18647 18.93169 1.70 0.089 -4.938741 69.31169 + 1525 | 6.516322 4.749698 1.37 0.170 -2.797878 15.83052 + 1526 | 11.46553 5.870808 1.95 0.051 -.0471767 22.97823 + 1599 | 15.89716 7.619031 2.09 0.037 .9561718 30.83815 + 1600 | -6.704314 4.383545 -1.53 0.126 -15.30048 1.891856 + 1602 | 17.67144 11.07051 1.60 0.111 -4.037936 39.38081 + 1603 | -3.28879 5.49589 -0.60 0.550 -14.06628 7.488699 + 1604 | 8.940383 8.973692 1.00 0.319 -8.657106 26.53787 + 1605 | 9.83683 7.170132 1.37 0.170 -4.22386 23.89752 + 1606 | .8220435 6.906262 0.12 0.905 -12.7212 14.36528 + 1608 | 19.02279 4.712312 4.04 0.000 9.781903 28.26367 + 1609 | 15.42022 4.319313 3.57 0.000 6.950005 23.89043 + 1610 | 7.737671 9.344359 0.83 0.408 -10.5867 26.06204 + 1611 | -2.364508 4.96379 -0.48 0.634 -12.09854 7.369527 + 1612 | 7.858185 4.781291 1.64 0.100 -1.517968 17.23434 + 1614 | -8.422044 4.645323 -1.81 0.070 -17.53156 .6874749 + 1615 | .402661 4.085808 0.10 0.922 -7.609644 8.414966 + 1616 | -6.516111 3.687826 -1.77 0.077 -13.74797 .7157481 + 1617 | 4.284297 6.82233 0.63 0.530 -9.09435 17.66295 + 1619 | 8.796713 6.941912 1.27 0.205 -4.816436 22.40986 + 1620 | -7.395913 3.767797 -1.96 0.050 -14.7846 -.0072312 + 1698 | -9.151585 4.741836 -1.93 0.054 -18.45037 .1471955 + 1699 | 11.37094 6.782473 1.68 0.094 -1.929548 24.67143 + 1700 | 6.413313 7.571631 0.85 0.397 -8.434722 21.26135 + 1701 | -1.461204 4.215333 -0.35 0.729 -9.727509 6.8051 + 1704 | .1008134 4.293948 0.02 0.981 -8.319656 8.521283 + 1705 | -9.348777 4.520549 -2.07 0.039 -18.21361 -.4839407 + 1706 | 8.664228 4.86353 1.78 0.075 -.8731957 18.20165 + 1707 | 15.25243 5.59929 2.72 0.006 4.272174 26.23269 + 1708 | -1.19751 3.763921 -0.32 0.750 -8.578592 6.183571 + 1709 | 13.22788 5.236643 2.53 0.012 2.958779 23.49698 + 1798 | 6.952199 5.599729 1.24 0.215 -4.028918 17.93332 + 1799 | -5.081974 3.892503 -1.31 0.192 -12.71521 2.551259 + 1800 | -3.190731 4.195159 -0.76 0.447 -11.41747 5.036012 + 1802 | -.3046425 3.773404 -0.08 0.936 -7.704321 7.095036 + 1803 | 2.999656 5.370537 0.56 0.577 -7.532014 13.53132 + 1804 | .026547 4.34712 0.01 0.995 -8.498193 8.551287 + 1806 | -2.57121 3.670352 -0.70 0.484 -9.768802 4.626382 + 1807 | -8.70596 3.417516 -2.55 0.011 -15.40774 -2.004183 + 1808 | 6.68601 11.62799 0.57 0.565 -16.11658 29.4886 + 1899 | 3.299928 13.33145 0.25 0.805 -22.84316 29.44302 + 1900 | -3.235166 4.714062 -0.69 0.493 -12.47948 6.009151 + 1901 | 2.519123 4.10422 0.61 0.539 -5.529289 10.56753 + 1902 | 12.35371 6.778202 1.82 0.069 -.9384016 25.64582 + 1905 | 14.76004 9.734516 1.52 0.130 -4.329426 33.84952 + 1906 | 3.490404 4.748559 0.74 0.462 -5.821561 12.80237 + 1907 | -.60933 4.013449 -0.15 0.879 -8.479739 7.261079 + 1908 | 1.766832 7.857995 0.22 0.822 -13.64276 17.17643 + 1909 | .2750213 4.90697 0.06 0.955 -9.34759 9.897633 + 1910 | 13.66524 8.30128 1.65 0.100 -2.613643 29.94412 + 1911 | 1.754654 5.361574 0.33 0.743 -8.759439 12.26875 + 1912 | -6.449401 3.716431 -1.74 0.083 -13.73735 .8385523 + 1914 | 7.411468 5.26906 1.41 0.160 -2.921205 17.74414 + 1915 | -9.631954 4.333227 -2.22 0.026 -18.12945 -1.134457 + 1919 | .9242341 4.173358 0.22 0.825 -7.259757 9.108225 + 1920 | 28.63558 8.789091 3.26 0.001 11.4001 45.87107 + 1925 | 15.93606 5.577728 2.86 0.004 4.998087 26.87403 + 1926 | 7.338491 4.41083 1.66 0.096 -1.311186 15.98817 + 1927 | 1.829443 4.251918 0.43 0.667 -6.508605 10.16749 + 1929 | 10.52411 5.780229 1.82 0.069 -.8109647 21.85919 + 1999 | -4.10489 4.542577 -0.90 0.366 -13.01292 4.803143 + 2000 | -2.814867 3.999176 -0.70 0.482 -10.65729 5.027551 + 2001 | 3.450623 4.097921 0.84 0.400 -4.585436 11.48668 + 2002 | 5.45625 3.986295 1.37 0.171 -2.360909 13.27341 + 2003 | 15.23541 6.15222 2.48 0.013 3.170848 27.29996 + 2004 | 4.580323 3.857547 1.19 0.235 -2.98436 12.14501 + 2005 | 9.839123 10.28096 0.96 0.339 -10.32192 30.00017 + 2006 | 79.39604 8.945188 8.88 0.000 61.85445 96.93763 + 2007 | 6.519526 5.556314 1.17 0.241 -4.376453 17.4155 + 2008 | 5.429883 3.619454 1.50 0.134 -1.667898 12.52766 + 2009 | 2.616442 5.279017 0.50 0.620 -7.735757 12.96864 + 2011 | 4.663332 3.688356 1.26 0.206 -2.569566 11.89623 + 2012 | 1.187378 3.9159 0.30 0.762 -6.491737 8.866492 + 2013 | .3727501 4.56847 0.08 0.935 -8.58606 9.33156 + 2014 | .8192613 4.307344 0.19 0.849 -7.627478 9.266001 + 2015 | -1.125407 5.037978 -0.22 0.823 -11.00493 8.754112 + 2030 | 21.20084 10.241 2.07 0.039 1.118151 41.28353 + 2099 | 12.59748 8.743771 1.44 0.150 -4.549131 29.74409 + 2100 | .6910642 4.692223 0.15 0.883 -8.510426 9.892554 + 2101 | 3.466551 3.597558 0.96 0.335 -3.588291 10.52139 + 2102 | -3.052003 3.476259 -0.88 0.380 -9.868977 3.76497 + 2103 | -1.88779 3.473554 -0.54 0.587 -8.699458 4.923879 + 2104 | -3.273056 3.469115 -0.94 0.346 -10.07602 3.529909 + 2105 | 9.947189 7.802681 1.27 0.202 -5.353936 25.24831 + 2199 | -1.086018 4.981202 -0.22 0.827 -10.8542 8.682163 + 9999 | 30.29693 14.87064 2.04 0.042 1.135469 59.4584 + | + house_administration | .7689771 1.76031 0.44 0.662 -2.683006 4.220961 + house_agriculture | 3.341615 1.363735 2.45 0.014 .6673192 6.015911 + house_appropriations | 5.359815 4.224478 1.27 0.205 -2.924424 13.64405 + house_armedservices | 5.277866 1.83565 2.88 0.004 1.678141 8.87759 + house_budget | 6.380554 3.372676 1.89 0.059 -.2332925 12.9944 + house_dc | .4418941 3.051123 0.14 0.885 -5.541384 6.425172 + house_educlabor | .5560392 1.192257 0.47 0.641 -1.781986 2.894065 + house_energycommerce | 5.740356 .9192183 6.24 0.000 3.937761 7.542951 + house_foreignaffairs | 2.389879 1.556433 1.54 0.125 -.6622994 5.442057 + house_governmentop | 7.885846 2.901557 2.72 0.007 2.195868 13.57582 + house_intelligence | 4.069871 5.834162 0.70 0.486 -7.37097 15.51071 + house_interior | -.1233284 1.257539 -0.10 0.922 -2.589373 2.342716 + house_judiciary | 4.097897 .9041692 4.53 0.000 2.324813 5.87098 + house_mmf | 2.002447 1.791137 1.12 0.264 -1.509989 5.514882 + house_pocs | 2.119132 2.368935 0.89 0.371 -2.526371 6.764635 + house_pwt | 2.277261 1.56694 1.45 0.146 -.7955211 5.350044 + house_rules | 3.996478 1.804279 2.22 0.027 .4582719 7.534684 + house_sst | 5.966803 4.689628 1.27 0.203 -3.229597 15.1632 + house_smallbusi | -5.498294 1.900161 -2.89 0.004 -9.224526 -1.772062 + house_soc | -11.36183 3.299388 -3.44 0.001 -17.83196 -4.891702 + house_veterans | .9093056 1.866143 0.49 0.626 -2.750217 4.568828 + house_waysandmeans | 3.550884 .8240548 4.31 0.000 1.934905 5.166862 +house_naturalresources | 1.370662 1.098421 1.25 0.212 -.7833515 3.524676 + house_bfs | .6255284 1.298377 0.48 0.630 -1.9206 3.171657 + house_eeo | 3.202048 3.407335 0.94 0.347 -3.479765 9.883862 + house_govreform | 2.128966 1.297691 1.64 0.101 -.4158176 4.673749 + house_ir | 4.616061 1.715111 2.69 0.007 1.252712 7.979409 + house_natsecur | 8.235116 4.140507 1.99 0.047 .1155451 16.35469 + house_oversight | 3.795358 1.886085 2.01 0.044 .0967284 7.493988 + house_resources | -1.884237 .9303289 -2.03 0.043 -3.70862 -.0598539 + house_science | .5429054 1.726849 0.31 0.753 -2.843461 3.929272 + house_transp | 2.567303 1.130478 2.27 0.023 .3504269 4.784179 + house_homeland | -1.035453 1.844422 -0.56 0.575 -4.652381 2.581476 + _cons | 4.392622 3.553465 1.24 0.217 -2.575754 11.361 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,273 1 0 1 1 +reg numb_cosponsors sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 +> borninstate tot_bills if tag_bill==1, robust cluster(group_sponsor) + +Linear regression Number of obs = 60,670 + F(282, 4745) = . + Prob > F = . + R-squared = 0.0850 + Root MSE = 34.481 + + (Std. Err. adjusted for 4,746 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 1.955777 .6156722 3.18 0.001 .7487734 3.16278 + | + v2 | + 102 | -.7605251 .9630764 -0.79 0.430 -2.648602 1.127552 + 103 | -2.484255 .853111 -2.91 0.004 -4.156749 -.8117618 + 104 | -2.556008 .9443904 -2.71 0.007 -4.407452 -.7045651 + 105 | .6213781 .9004109 0.69 0.490 -1.143845 2.386601 + 106 | 1.910268 .9740796 1.96 0.050 .00062 3.819916 + 107 | 1.724632 .9432559 1.83 0.068 -.1245877 3.573851 + 108 | 1.313857 .9195201 1.43 0.153 -.4888289 3.116543 + 109 | .6573459 .8513929 0.77 0.440 -1.011779 2.326471 + 110 | 1.306797 .893496 1.46 0.144 -.4448697 3.058464 + 111 | -1.096778 .9217048 -1.19 0.234 -2.903747 .7101913 + | + minor | + 101 | -1.244429 4.800439 -0.26 0.795 -10.65552 8.16666 + 103 | -3.496725 5.134614 -0.68 0.496 -13.56295 6.569501 + 104 | 1.351947 3.611414 0.37 0.708 -5.7281 8.431994 + 105 | 10.20242 6.167237 1.65 0.098 -1.88823 22.29306 + 107 | 7.363487 3.006447 2.45 0.014 1.469456 13.25752 + 108 | 4.445028 5.110259 0.87 0.384 -5.573451 14.46351 + 110 | 4.63148 9.94218 0.47 0.641 -14.85981 24.12277 + 200 | 12.33242 3.852208 3.20 0.001 4.7803 19.88453 + 201 | 6.542057 5.426995 1.21 0.228 -4.097372 17.18148 + 202 | 30.61595 6.037909 5.07 0.000 18.77885 42.45305 + 204 | 12.17994 6.301612 1.93 0.053 -.1741477 24.53402 + 205 | 54.78984 17.32846 3.16 0.002 20.81802 88.76166 + 206 | 11.32405 4.416322 2.56 0.010 2.666005 19.98209 + 207 | 24.53317 4.421687 5.55 0.000 15.86461 33.20173 + 208 | 4.691635 3.300727 1.42 0.155 -1.779323 11.16259 + 209 | 15.34985 12.14735 1.26 0.206 -8.464594 39.1643 + 299 | 54.50663 13.62841 4.00 0.000 27.78863 81.22463 + 300 | 8.326793 4.042513 2.06 0.039 .4015919 16.252 + 301 | 6.656272 3.336937 1.99 0.046 .1143266 13.19822 + 302 | 10.91215 3.182055 3.43 0.001 4.67385 17.15046 + 321 | 7.768389 3.403626 2.28 0.023 1.095703 14.44108 + 322 | 1.667384 3.158951 0.53 0.598 -4.525625 7.860394 + 323 | 14.9494 3.933717 3.80 0.000 7.23749 22.66131 + 324 | 2.090881 3.576298 0.58 0.559 -4.920323 9.102085 + 325 | 6.800583 3.329644 2.04 0.041 .2729365 13.32823 + 331 | 22.39944 3.84012 5.83 0.000 14.87102 29.92786 + 332 | 13.54858 3.309029 4.09 0.000 7.061344 20.03581 + 333 | 16.70217 4.565834 3.66 0.000 7.751014 25.65332 + 334 | 14.00683 3.452333 4.06 0.000 7.238651 20.775 + 335 | 8.711763 3.732932 2.33 0.020 1.393484 16.03004 + 336 | 19.63748 4.295939 4.57 0.000 11.21545 28.05952 + 341 | 9.734588 3.84893 2.53 0.011 2.188898 17.28028 + 342 | 9.034109 6.800028 1.33 0.184 -4.297101 22.36532 + 343 | 3.229623 3.796593 0.85 0.395 -4.213461 10.67271 + 344 | 7.383117 5.199917 1.42 0.156 -2.811133 17.57737 + 398 | 23.39766 3.739989 6.26 0.000 16.06555 30.72978 + 399 | 9.568581 5.760488 1.66 0.097 -1.724649 20.86181 + 400 | 1.503277 4.035959 0.37 0.710 -6.409076 9.41563 + 401 | .6879641 3.412839 0.20 0.840 -6.002784 7.378712 + 402 | 1.369306 3.11843 0.44 0.661 -4.744265 7.482876 + 403 | 5.193456 3.566337 1.46 0.145 -1.79822 12.18513 + 404 | 4.986298 4.49351 1.11 0.267 -3.823067 13.79566 + 405 | 24.75217 7.057488 3.51 0.000 10.91621 38.58812 + 498 | 14.33188 7.923011 1.81 0.071 -1.200899 29.86466 + 499 | 12.81432 8.021546 1.60 0.110 -2.911629 28.54027 + 500 | 2.621087 4.423057 0.59 0.553 -6.050156 11.29233 + 501 | 6.341909 3.592196 1.77 0.078 -.7004618 13.38428 + 502 | 6.127691 3.675894 1.67 0.096 -1.078766 13.33415 + 503 | 7.802229 3.054142 2.55 0.011 1.814693 13.78977 + 504 | 24.75133 4.891902 5.06 0.000 15.16093 34.34173 + 505 | 10.95143 3.868717 2.83 0.005 3.366951 18.53591 + 506 | 14.29732 4.661272 3.07 0.002 5.159066 23.43558 + 508 | 5.369305 3.502108 1.53 0.125 -1.496452 12.23506 + 529 | 10.44124 5.57211 1.87 0.061 -.4826858 21.36516 + 530 | 4.968156 3.037526 1.64 0.102 -.9868043 10.92312 + 599 | 9.775968 6.07551 1.61 0.108 -2.134851 21.68679 + 600 | 8.120927 3.634352 2.23 0.025 .995911 15.24594 + 601 | 7.430538 3.022149 2.46 0.014 1.505722 13.35535 + 602 | 9.558541 3.124717 3.06 0.002 3.432645 15.68444 + 603 | 7.699724 3.624581 2.12 0.034 .593863 14.80558 + 604 | 1.01049 4.326187 0.23 0.815 -7.470845 9.491825 + 606 | 10.518 4.689765 2.24 0.025 1.323885 19.71212 + 607 | 8.189916 3.426029 2.39 0.017 1.47331 14.90652 + 609 | 7.169287 4.639961 1.55 0.122 -1.927191 16.26576 + 698 | -3.96099 3.56646 -1.11 0.267 -10.95291 3.030927 + 699 | 6.53985 4.284285 1.53 0.127 -1.859337 14.93904 + 700 | 2.875183 3.267508 0.88 0.379 -3.530649 9.281015 + 701 | 4.289385 3.443134 1.25 0.213 -2.460755 11.03953 + 703 | .4237604 3.17485 0.13 0.894 -5.800418 6.647939 + 704 | 3.363249 3.353238 1.00 0.316 -3.210654 9.937153 + 705 | 5.929422 3.505483 1.69 0.091 -.9429515 12.8018 + 707 | 17.67774 4.915482 3.60 0.000 8.041113 27.31436 + 708 | 6.097302 4.307185 1.42 0.157 -2.346778 14.54138 + 709 | 12.70984 3.203917 3.97 0.000 6.428678 18.991 + 710 | 4.268928 3.175857 1.34 0.179 -1.957225 10.49508 + 711 | 6.313419 3.596273 1.76 0.079 -.7369447 13.36378 + 798 | 4.566575 4.157184 1.10 0.272 -3.583434 12.71658 + 799 | .5508169 4.595816 0.12 0.905 -8.459115 9.560748 + 800 | -2.96948 3.194836 -0.93 0.353 -9.232841 3.29388 + 801 | -2.49596 3.624818 -0.69 0.491 -9.602286 4.610366 + 802 | -2.523896 3.162555 -0.80 0.425 -8.723971 3.676179 + 803 | 2.06431 3.06033 0.67 0.500 -3.935357 8.063978 + 805 | -1.833025 3.280736 -0.56 0.576 -8.26479 4.598739 + 806 | 3.241104 3.187896 1.02 0.309 -3.008652 9.49086 + 807 | 1.92277 3.320179 0.58 0.563 -4.586321 8.431861 + 898 | 1.797138 4.519329 0.40 0.691 -7.062845 10.65712 + 899 | -3.037443 4.284077 -0.71 0.478 -11.43622 5.361337 + 1000 | .1851676 4.022944 0.05 0.963 -7.701669 8.072004 + 1001 | -.7593934 3.174866 -0.24 0.811 -6.983603 5.464816 + 1002 | 2.104919 3.339099 0.63 0.528 -4.441264 8.651103 + 1003 | 3.593959 3.171227 1.13 0.257 -2.623118 9.811036 + 1005 | 7.273337 4.354722 1.67 0.095 -1.263938 15.81061 + 1006 | 6.556296 3.610142 1.82 0.069 -.5212576 13.63385 + 1007 | .4853144 3.166003 0.15 0.878 -5.72152 6.692149 + 1010 | .1434828 3.760856 0.04 0.970 -7.22954 7.516505 + 1098 | -7.876713 3.453692 -2.28 0.023 -14.64755 -1.105874 + 1099 | 1.361685 4.870983 0.28 0.780 -8.187702 10.91107 + 1200 | 9.883818 5.133975 1.93 0.054 -.1811557 19.94879 + 1201 | 3.438378 3.528783 0.97 0.330 -3.479675 10.35643 + 1202 | 1.161352 3.822962 0.30 0.761 -6.333428 8.656132 + 1203 | 1.311633 3.197591 0.41 0.682 -4.957129 7.580394 + 1204 | 1.719421 3.183849 0.54 0.589 -4.522401 7.961244 + 1205 | 4.078808 3.495522 1.17 0.243 -2.774037 10.93165 + 1206 | 1.676886 3.911349 0.43 0.668 -5.991174 9.344946 + 1207 | 5.807349 3.341187 1.74 0.082 -.7429276 12.35763 + 1208 | 11.78941 3.323839 3.55 0.000 5.273142 18.30567 + 1209 | 12.11623 3.25867 3.72 0.000 5.727724 18.50473 + 1210 | 6.822943 3.488934 1.96 0.051 -.0169857 13.66287 + 1211 | 7.831221 4.067294 1.93 0.054 -.1425616 15.805 + 1299 | 10.20728 7.781276 1.31 0.190 -5.047627 25.4622 + 1300 | 12.46218 5.070292 2.46 0.014 2.52205 22.4023 + 1301 | 10.1399 3.817549 2.66 0.008 2.655733 17.62407 + 1302 | -1.654105 3.167477 -0.52 0.602 -7.863829 4.55562 + 1303 | 6.853354 3.263409 2.10 0.036 .4555587 13.25115 + 1304 | 14.6509 4.282362 3.42 0.001 6.255482 23.04632 + 1305 | 13.88341 4.960882 2.80 0.005 4.157778 23.60904 + 1399 | 8.353769 9.49076 0.88 0.379 -10.25253 26.96006 + 1400 | 5.249349 3.671644 1.43 0.153 -1.948777 12.44748 + 1401 | 8.402618 3.743156 2.24 0.025 1.064296 15.74094 + 1403 | 7.417976 4.534446 1.64 0.102 -1.471642 16.30759 + 1404 | 3.070985 5.264111 0.58 0.560 -7.249115 13.39109 + 1405 | -.9985586 3.255596 -0.31 0.759 -7.381038 5.383921 + 1406 | 8.646461 4.00506 2.16 0.031 .7946848 16.49824 + 1407 | 4.184045 3.504155 1.19 0.233 -2.685725 11.05382 + 1408 | 3.623077 4.444827 0.82 0.415 -5.090847 12.337 + 1409 | 15.74969 4.83885 3.25 0.001 6.263297 25.23608 + 1410 | 5.19996 3.673167 1.42 0.157 -2.001152 12.40107 + 1499 | -.2040386 3.862381 -0.05 0.958 -7.776099 7.368021 + 1500 | 5.21243 5.162967 1.01 0.313 -4.90938 15.33424 + 1501 | 4.824243 3.226989 1.49 0.135 -1.502154 11.15064 + 1502 | 3.234033 3.337767 0.97 0.333 -3.309539 9.777606 + 1504 | 10.30542 3.88521 2.65 0.008 2.688605 17.92224 + 1505 | 3.743785 3.335265 1.12 0.262 -2.794882 10.28245 + 1507 | 1.653036 3.800542 0.43 0.664 -5.797791 9.103862 + 1520 | 3.674988 3.66895 1.00 0.317 -3.517856 10.86783 + 1521 | 4.244588 3.031285 1.40 0.162 -1.698138 10.18731 + 1522 | 1.071656 3.395063 0.32 0.752 -5.584244 7.727556 + 1523 | 1.774551 3.010349 0.59 0.556 -4.12713 7.676232 + 1524 | 23.1976 11.48287 2.02 0.043 .6858547 45.70935 + 1525 | 7.155832 3.289676 2.18 0.030 .7065395 13.60512 + 1526 | 4.32799 3.832412 1.13 0.259 -3.185316 11.8413 + 1599 | 12.97926 5.142814 2.52 0.012 2.896961 23.06156 + 1600 | -5.721709 3.374455 -1.70 0.090 -12.33721 .8937895 + 1602 | 13.04551 7.179232 1.82 0.069 -1.02912 27.12013 + 1603 | -6.881923 4.716365 -1.46 0.145 -16.12819 2.364341 + 1604 | -1.919659 4.415378 -0.43 0.664 -10.57585 6.73653 + 1605 | 6.767455 4.314831 1.57 0.117 -1.691616 15.22653 + 1606 | 4.329899 4.872289 0.89 0.374 -5.222048 13.88185 + 1608 | 11.44298 3.370876 3.39 0.001 4.834502 18.05146 + 1609 | 12.03057 3.377025 3.56 0.000 5.410036 18.65111 + 1610 | 3.686784 4.672809 0.79 0.430 -5.47409 12.84766 + 1611 | -5.475147 3.374363 -1.62 0.105 -12.09046 1.140171 + 1612 | 5.710172 3.588181 1.59 0.112 -1.324328 12.74467 + 1614 | -2.293986 3.875279 -0.59 0.554 -9.891331 5.303359 + 1615 | .9209316 3.321733 0.28 0.782 -5.591207 7.43307 + 1616 | -5.167929 3.093326 -1.67 0.095 -11.23228 .8964266 + 1617 | -3.051494 3.764446 -0.81 0.418 -10.43155 4.328567 + 1619 | 3.940662 4.43401 0.89 0.374 -4.752055 12.63338 + 1620 | -2.48393 4.166395 -0.60 0.551 -10.652 5.684137 + 1698 | -8.465816 3.462615 -2.44 0.015 -15.25415 -1.677483 + 1699 | 19.4261 5.311499 3.66 0.000 9.013097 29.8391 + 1700 | 4.60759 4.803233 0.96 0.337 -4.808977 14.02416 + 1701 | -1.197497 3.307456 -0.36 0.717 -7.681645 5.286651 + 1704 | .89131 3.728402 0.24 0.811 -6.418087 8.200707 + 1705 | -.7281684 4.828804 -0.15 0.880 -10.19487 8.738529 + 1706 | 4.365449 3.508738 1.24 0.214 -2.513305 11.2442 + 1707 | 8.612441 3.58809 2.40 0.016 1.578121 15.64676 + 1708 | .7262283 3.383111 0.21 0.830 -5.906239 7.358696 + 1709 | 8.631185 3.869446 2.23 0.026 1.045276 16.21709 + 1798 | 10.14534 4.800138 2.11 0.035 .734844 19.55584 + 1799 | 2.196309 6.074343 0.36 0.718 -9.712221 14.10484 + 1800 | -.6820386 3.5088 -0.19 0.846 -7.560916 6.196839 + 1802 | 2.644581 3.227607 0.82 0.413 -3.683027 8.97219 + 1803 | 2.843247 3.696419 0.77 0.442 -4.40345 10.08994 + 1804 | -.6155843 3.389899 -0.18 0.856 -7.261359 6.030191 + 1806 | .6478595 3.565369 0.18 0.856 -6.341918 7.637637 + 1807 | -8.360416 2.902433 -2.88 0.004 -14.05053 -2.6703 + 1808 | 10.18604 8.273001 1.23 0.218 -6.032883 26.40496 + 1899 | 20.12673 14.14839 1.42 0.155 -7.610675 47.86413 + 1900 | -.9898716 3.630796 -0.27 0.785 -8.107917 6.128173 + 1901 | 9.020985 3.547837 2.54 0.011 2.065577 15.97639 + 1902 | 8.803574 4.469197 1.97 0.049 .0418739 17.56527 + 1905 | 23.47264 6.098548 3.85 0.000 11.51665 35.42862 + 1906 | 5.231363 3.590681 1.46 0.145 -1.808038 12.27076 + 1907 | 3.068423 4.370692 0.70 0.483 -5.500161 11.63701 + 1908 | 2.41244 5.32931 0.45 0.651 -8.035481 12.86036 + 1909 | -.5332566 4.404658 -0.12 0.904 -9.168431 8.101918 + 1910 | 5.345431 5.144148 1.04 0.299 -4.739487 15.43035 + 1911 | 13.64232 6.933687 1.97 0.049 .0490757 27.23556 + 1912 | .868589 12.99021 0.07 0.947 -24.59825 26.33543 + 1914 | 8.868143 4.205646 2.11 0.035 .6231247 17.11316 + 1915 | -9.157132 3.558379 -2.57 0.010 -16.13321 -2.181057 + 1919 | .9292709 3.990363 0.23 0.816 -6.893693 8.752235 + 1920 | 20.41872 5.664161 3.60 0.000 9.314334 31.5231 + 1925 | 16.35885 4.154717 3.94 0.000 8.213671 24.50402 + 1926 | 9.81149 3.932815 2.49 0.013 2.101347 17.52163 + 1927 | 2.158532 3.558795 0.61 0.544 -4.818358 9.135422 + 1929 | 5.501458 4.138322 1.33 0.184 -2.611574 13.61449 + 1999 | 2.61156 8.048064 0.32 0.746 -13.16638 18.3895 + 2000 | -1.693872 3.259605 -0.52 0.603 -8.084211 4.696466 + 2001 | 3.78847 3.595252 1.05 0.292 -3.259893 10.83683 + 2002 | 4.586889 3.313369 1.38 0.166 -1.908852 11.08263 + 2003 | 19.54299 4.89597 3.99 0.000 9.944615 29.14136 + 2004 | 7.944704 3.246215 2.45 0.014 1.580616 14.30879 + 2005 | .8281824 5.030438 0.16 0.869 -9.03381 10.69017 + 2006 | 79.38296 6.381708 12.44 0.000 66.87185 91.89407 + 2007 | 2.900441 3.691333 0.79 0.432 -4.336285 10.13717 + 2008 | 4.004675 2.97807 1.34 0.179 -1.833723 9.843074 + 2009 | 6.786177 5.738021 1.18 0.237 -4.463007 18.03536 + 2010 | -12.90143 3.065263 -4.21 0.000 -18.91077 -6.892091 + 2011 | 2.227338 3.125332 0.71 0.476 -3.899763 8.354438 + 2012 | 2.251426 3.239379 0.70 0.487 -4.099259 8.602112 + 2013 | 3.34552 3.583675 0.93 0.351 -3.680145 10.37119 + 2014 | 2.512975 4.006149 0.63 0.531 -5.340936 10.36689 + 2015 | .1430149 3.75409 0.04 0.970 -7.216743 7.502773 + 2030 | 20.34257 6.937721 2.93 0.003 6.741413 33.94372 + 2099 | 16.21966 6.506095 2.49 0.013 3.464698 28.97463 + 2100 | -2.218148 3.653831 -0.61 0.544 -9.381353 4.945057 + 2101 | 3.134445 3.017344 1.04 0.299 -2.78095 9.04984 + 2102 | -.6180811 3.059052 -0.20 0.840 -6.615243 5.37908 + 2103 | .886847 2.977231 0.30 0.766 -4.949908 6.723602 + 2104 | -4.060616 2.937092 -1.38 0.167 -9.818679 1.697447 + 2105 | 11.33812 6.300717 1.80 0.072 -1.014214 23.69044 + 2199 | -5.789993 3.842283 -1.51 0.132 -13.32265 1.742665 + 9999 | 29.42816 9.34427 3.15 0.002 11.10905 47.74727 + | + house_administration | 2.164319 1.476698 1.47 0.143 -.7306938 5.059331 + house_agriculture | 2.460477 .87916 2.80 0.005 .7369152 4.184038 + house_appropriations | 2.099348 4.338439 0.48 0.628 -6.406006 10.6047 + house_armedservices | 4.615634 1.156005 3.99 0.000 2.349329 6.881939 + house_budget | 3.195332 2.414156 1.32 0.186 -1.537534 7.928197 + house_dc | -3.891398 2.750003 -1.42 0.157 -9.28268 1.499884 + house_educlabor | 3.485695 .750298 4.65 0.000 2.014762 4.956627 + house_energycommerce | 4.712165 .5666007 8.32 0.000 3.601365 5.822965 + house_foreignaffairs | 4.397376 1.187012 3.70 0.000 2.07028 6.724471 + house_governmentop | 4.218918 1.965418 2.15 0.032 .3657863 8.07205 + house_intelligence | 6.992118 4.60506 1.52 0.129 -2.035936 16.02017 + house_interior | -.6193492 1.081203 -0.57 0.567 -2.739009 1.50031 + house_judiciary | 3.108854 .6029065 5.16 0.000 1.926877 4.29083 + house_mmf | .925459 1.31032 0.71 0.480 -1.643377 3.494295 + house_pocs | 4.038402 1.815073 2.22 0.026 .4800176 7.596787 + house_pwt | 2.683103 1.065051 2.52 0.012 .5951089 4.771097 + house_rules | 2.943063 1.442794 2.04 0.041 .1145176 5.771608 + house_sst | 5.030699 1.950059 2.58 0.010 1.207678 8.85372 + house_smallbusi | -4.611497 1.142088 -4.04 0.000 -6.850519 -2.372475 + house_soc | -1.834248 7.48969 -0.24 0.807 -16.51752 12.84902 + house_veterans | 1.309807 1.263555 1.04 0.300 -1.167346 3.786961 + house_waysandmeans | 2.983066 .5425124 5.50 0.000 1.91949 4.046642 +house_naturalresources | -.6659913 .8965728 -0.74 0.458 -2.42369 1.091707 + house_bfs | 1.214552 .8379682 1.45 0.147 -.4282545 2.857359 + house_eeo | -.2384847 1.923806 -0.12 0.901 -4.010037 3.533068 + house_govreform | 3.890398 .9464794 4.11 0.000 2.034859 5.745937 + house_ir | 3.941171 1.245932 3.16 0.002 1.498566 6.383776 + house_natsecur | 8.364626 2.749731 3.04 0.002 2.973878 13.75537 + house_oversight | .7463018 1.248705 0.60 0.550 -1.701739 3.194343 + house_resources | -1.48613 .7960634 -1.87 0.062 -3.046783 .074524 + house_science | -1.093519 1.107077 -0.99 0.323 -3.263904 1.076866 + house_transp | 1.252899 .7465771 1.68 0.093 -.2107386 2.716536 + house_homeland | -1.434788 1.199588 -1.20 0.232 -3.786538 .9169619 + sponsor_democrat | .3257754 .4246635 0.77 0.443 -.5067622 1.158313 + sponsor_rookie | -3.474341 .5513761 -6.30 0.000 -4.555294 -2.393388 + sponsor_tenure_run | .1409702 .0900077 1.57 0.117 -.0354867 .3174271 + sponsor_age | .0129921 .0251515 0.52 0.605 -.0363165 .0623007 + leader | 1.163382 .6257641 1.86 0.063 -.0634062 2.39017 + ivycoll | -.8329762 .6147788 -1.35 0.176 -2.038228 .3722754 + black | -1.078476 .8168771 -1.32 0.187 -2.679934 .5229823 + occ0 | 1.900505 .6592015 2.88 0.004 .6081636 3.192846 + occ1 | 1.226033 .7094458 1.73 0.084 -.16481 2.616876 + occ2 | .7462528 .5834276 1.28 0.201 -.3975362 1.890042 + occ3 | -1.238406 .7805927 -1.59 0.113 -2.76873 .2919182 + occ4 | .6868966 .6246889 1.10 0.272 -.5377835 1.911577 + borninstate | .9581909 .3936586 2.43 0.015 .1864374 1.729944 + tot_bills | -.1609046 .0247261 -6.51 0.000 -.2093793 -.1124299 + _cons | 7.567256 3.247026 2.33 0.020 1.201579 13.93293 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,746 1 0 1 1 +reg numb_cosponsors sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 +> borninstate tot_bills if sponsor_party==100 & tag_bill==1, robust cluster(group_sponsor) +note: sponsor_democrat omitted because of collinearity + +Linear regression Number of obs = 32,847 + F(281, 2491) = . + Prob > F = . + R-squared = 0.0951 + Root MSE = 34.29 + + (Std. Err. adjusted for 2,492 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 1.994147 .7261423 2.75 0.006 .5702428 3.418052 + | + v2 | + 102 | -1.282571 1.055828 -1.21 0.225 -3.352961 .7878189 + 103 | -4.026566 1.078181 -3.73 0.000 -6.14079 -1.912341 + 104 | -8.417672 1.27366 -6.61 0.000 -10.91521 -5.92013 + 105 | -2.224368 1.185618 -1.88 0.061 -4.549267 .1005305 + 106 | -.5988923 1.281831 -0.47 0.640 -3.112457 1.914672 + 107 | -.9575255 1.233372 -0.78 0.438 -3.376065 1.461014 + 108 | -1.080298 1.21604 -0.89 0.374 -3.464851 1.304254 + 109 | -2.970895 1.158385 -2.56 0.010 -5.242391 -.6993991 + 110 | 2.415939 1.168077 2.07 0.039 .1254367 4.706441 + 111 | -.9573836 1.1729 -0.82 0.414 -3.257343 1.342576 + | + minor | + 101 | -3.09028 5.23751 -0.59 0.555 -13.3606 7.180041 + 103 | -9.867285 5.62596 -1.75 0.080 -20.89932 1.164754 + 104 | -2.972907 5.356565 -0.56 0.579 -13.47669 7.530871 + 105 | 1.970821 5.216912 0.38 0.706 -8.25911 12.20075 + 107 | 2.013181 4.829502 0.42 0.677 -7.457071 11.48343 + 108 | 7.213797 7.364624 0.98 0.327 -7.227619 21.65521 + 110 | -5.336118 8.125718 -0.66 0.511 -21.26998 10.59774 + 200 | 13.39146 5.819316 2.30 0.021 1.980266 24.80265 + 201 | 5.566838 6.757217 0.82 0.410 -7.683503 18.81718 + 202 | 31.9698 7.6194 4.20 0.000 17.02879 46.91081 + 204 | 17.64516 11.2639 1.57 0.117 -4.442411 39.73274 + 205 | 75.66474 25.99342 2.91 0.004 24.69381 126.6357 + 206 | 3.961801 5.838775 0.68 0.497 -7.487552 15.41115 + 207 | 24.31075 7.217187 3.37 0.001 10.15845 38.46306 + 208 | 1.275474 5.09197 0.25 0.802 -8.709457 11.2604 + 209 | 22.75429 13.35208 1.70 0.088 -3.428023 48.93661 + 299 | 12.07353 11.70974 1.03 0.303 -10.88829 35.03535 + 300 | 8.922278 5.890661 1.51 0.130 -2.628818 20.47337 + 301 | 5.098065 5.09032 1.00 0.317 -4.88363 15.07976 + 302 | 9.948275 5.036756 1.98 0.048 .0716161 19.82493 + 321 | 3.760975 5.064162 0.74 0.458 -6.169425 13.69137 + 322 | -1.037966 4.889486 -0.21 0.832 -10.62584 8.549908 + 323 | 16.09132 5.727954 2.81 0.005 4.859284 27.32336 + 324 | -.6309686 5.038636 -0.13 0.900 -10.51131 9.249377 + 325 | 6.106219 5.123855 1.19 0.233 -3.941234 16.15367 + 331 | 20.60958 5.573822 3.70 0.000 9.679779 31.53938 + 332 | 13.41836 5.078444 2.64 0.008 3.459954 23.37677 + 333 | 18.73054 6.243478 3.00 0.003 6.487604 30.97348 + 334 | 12.69945 5.181113 2.45 0.014 2.539714 22.85918 + 335 | 7.790589 5.404475 1.44 0.150 -2.807136 18.38831 + 336 | 17.57315 6.024994 2.92 0.004 5.758638 29.38766 + 341 | 8.718422 5.455973 1.60 0.110 -1.980286 19.41713 + 342 | 7.986227 8.372387 0.95 0.340 -8.431327 24.40378 + 343 | 5.847873 5.970688 0.98 0.327 -5.860151 17.5559 + 344 | 1.316751 6.143705 0.21 0.830 -10.73054 13.36405 + 398 | 24.50827 5.680154 4.31 0.000 13.36996 35.64658 + 399 | 10.58871 7.521569 1.41 0.159 -4.160458 25.33789 + 400 | 2.671961 6.075779 0.44 0.660 -9.242135 14.58606 + 401 | -.2749009 5.483712 -0.05 0.960 -11.028 10.4782 + 402 | -1.105519 4.886389 -0.23 0.821 -10.68732 8.476284 + 403 | 1.693339 4.980643 0.34 0.734 -8.073287 11.45996 + 404 | -1.255188 5.484026 -0.23 0.819 -12.00891 9.49853 + 405 | 31.01483 9.90231 3.13 0.002 11.59722 50.43243 + 498 | 21.51108 13.24942 1.62 0.105 -4.469928 47.49209 + 499 | 3.000164 9.300656 0.32 0.747 -15.23765 21.23798 + 500 | 2.770342 7.13764 0.39 0.698 -11.22598 16.76666 + 501 | 1.769257 5.290367 0.33 0.738 -8.604713 12.14323 + 502 | 7.213292 5.650873 1.28 0.202 -3.867599 18.29418 + 503 | 6.715644 4.692878 1.43 0.153 -2.4867 15.91799 + 504 | 27.69415 7.669588 3.61 0.000 12.65473 42.73358 + 505 | 14.38001 6.361373 2.26 0.024 1.90589 26.85414 + 506 | 14.44039 6.357597 2.27 0.023 1.973675 26.90711 + 508 | 5.73483 5.355598 1.07 0.284 -4.767052 16.23671 + 529 | 4.738195 7.785896 0.61 0.543 -10.5293 20.00569 + 530 | 3.664606 4.818883 0.76 0.447 -5.784823 13.11403 + 599 | 3.734183 7.063515 0.53 0.597 -10.11678 17.58515 + 600 | 3.684521 5.23881 0.70 0.482 -6.588349 13.95739 + 601 | 5.878269 4.759689 1.24 0.217 -3.455085 15.21162 + 602 | 8.551965 4.854226 1.76 0.078 -.966769 18.0707 + 603 | 4.783937 5.285721 0.91 0.366 -5.580921 15.1488 + 604 | -.0999651 6.684165 -0.01 0.988 -13.20706 13.00713 + 606 | 9.855546 7.49734 1.31 0.189 -4.846112 24.55721 + 607 | 3.428276 4.981221 0.69 0.491 -6.339483 13.19604 + 609 | 4.841539 7.295364 0.66 0.507 -9.464064 19.14714 + 698 | -8.833623 5.021473 -1.76 0.079 -18.68031 1.013067 + 699 | 7.390025 6.154992 1.20 0.230 -4.679402 19.45945 + 700 | 5.07581 5.111451 0.99 0.321 -4.94732 15.09894 + 701 | 5.427622 5.39464 1.01 0.314 -5.150817 16.00606 + 703 | .1892676 4.975765 0.04 0.970 -9.567794 9.946329 + 704 | 4.162976 5.215253 0.80 0.425 -6.063701 14.38965 + 705 | 8.713371 5.676171 1.54 0.125 -2.417127 19.84387 + 707 | 18.56987 6.568396 2.83 0.005 5.689793 31.44995 + 708 | 3.201284 5.454092 0.59 0.557 -7.493737 13.8963 + 709 | 17.05623 5.093707 3.35 0.001 7.067895 27.04457 + 710 | 5.486068 5.133153 1.07 0.285 -4.579618 15.55175 + 711 | 11.36895 6.413217 1.77 0.076 -1.206832 23.94474 + 798 | 2.237892 5.658948 0.40 0.693 -8.858835 13.33462 + 799 | -1.787548 7.691587 -0.23 0.816 -16.87011 13.29502 + 800 | -1.272516 5.073406 -0.25 0.802 -11.22104 8.676011 + 801 | -1.01925 5.471478 -0.19 0.852 -11.74836 9.709863 + 802 | -1.472639 5.067789 -0.29 0.771 -11.41015 8.464873 + 803 | -1.052462 4.78757 -0.22 0.826 -10.44049 8.335563 + 805 | -1.954598 5.192557 -0.38 0.707 -12.13677 8.227575 + 806 | 1.222658 4.889707 0.25 0.803 -8.365651 10.81097 + 807 | 1.60135 5.131405 0.31 0.755 -8.460908 11.66361 + 898 | 8.446995 7.370556 1.15 0.252 -6.006052 22.90004 + 899 | -1.714507 7.852287 -0.22 0.827 -17.11219 13.68317 + 1000 | -1.21139 5.350947 -0.23 0.821 -11.70415 9.281373 + 1001 | -1.803851 5.036314 -0.36 0.720 -11.67964 8.071943 + 1002 | -.0310252 5.121693 -0.01 0.995 -10.07424 10.01219 + 1003 | 2.984372 4.999068 0.60 0.551 -6.818384 12.78713 + 1005 | 7.277119 6.616365 1.10 0.271 -5.697023 20.25126 + 1006 | 4.307964 5.450192 0.79 0.429 -6.379408 14.99534 + 1007 | 1.40013 5.071294 0.28 0.783 -8.544255 11.34452 + 1010 | 1.124593 5.49142 0.20 0.838 -9.643624 11.89281 + 1098 | -7.162237 5.460568 -1.31 0.190 -17.86996 3.545483 + 1099 | 1.962994 7.648045 0.26 0.797 -13.03419 16.96017 + 1200 | 10.27681 7.897202 1.30 0.193 -5.208943 25.76257 + 1201 | 3.950201 5.567383 0.71 0.478 -6.966973 14.86738 + 1202 | .8808672 5.775841 0.15 0.879 -10.44508 12.20681 + 1203 | -.5576479 4.972453 -0.11 0.911 -10.30821 9.192919 + 1204 | .7683068 5.089248 0.15 0.880 -9.211284 10.7479 + 1205 | .4714598 5.226976 0.09 0.928 -9.778204 10.72112 + 1206 | 2.190944 5.982176 0.37 0.714 -9.539605 13.92149 + 1207 | 4.280606 5.425704 0.79 0.430 -6.358749 14.91996 + 1208 | 7.849573 4.952133 1.59 0.113 -1.861147 17.56029 + 1209 | 6.47892 4.914843 1.32 0.188 -3.158679 16.11652 + 1210 | 3.713222 5.243878 0.71 0.479 -6.569587 13.99603 + 1211 | 6.268083 6.166372 1.02 0.309 -5.82366 18.35983 + 1299 | 13.83502 11.78389 1.17 0.240 -9.272208 36.94226 + 1300 | 12.78431 6.956998 1.84 0.066 -.8577855 26.4264 + 1301 | 8.743583 5.301686 1.65 0.099 -1.652583 19.13975 + 1302 | -2.565962 4.878937 -0.53 0.599 -12.13315 7.001227 + 1303 | 6.847886 5.26636 1.30 0.194 -3.479008 17.17478 + 1304 | 10.05752 5.461521 1.84 0.066 -.6520639 20.76711 + 1305 | 3.643416 5.862118 0.62 0.534 -7.85171 15.13854 + 1399 | 20.16259 20.63493 0.98 0.329 -20.30079 60.62596 + 1400 | 2.9178 5.319132 0.55 0.583 -7.512576 13.34818 + 1401 | 4.73085 5.104693 0.93 0.354 -5.279028 14.74073 + 1403 | 8.185653 6.095919 1.34 0.179 -3.767937 20.13924 + 1404 | 7.259119 8.985048 0.81 0.419 -10.35981 24.87805 + 1405 | -.5390446 5.14258 -0.10 0.917 -10.62322 9.545127 + 1406 | 5.991637 5.484664 1.09 0.275 -4.763332 16.74661 + 1407 | 4.419906 5.386456 0.82 0.412 -6.142485 14.9823 + 1408 | -2.264326 5.475495 -0.41 0.679 -13.00131 8.472663 + 1409 | 18.51265 7.251532 2.55 0.011 4.293003 32.7323 + 1410 | .0247807 5.103018 0.00 0.996 -9.981814 10.03138 + 1499 | -2.542852 5.481549 -0.46 0.643 -13.29171 8.20601 + 1500 | 3.190507 7.644529 0.42 0.676 -11.79978 18.18079 + 1501 | 1.229747 4.88896 0.25 0.801 -8.357097 10.81659 + 1502 | 3.795614 5.158937 0.74 0.462 -6.320633 13.91186 + 1504 | 8.428015 5.569076 1.51 0.130 -2.49248 19.34851 + 1505 | -.2645011 5.030218 -0.05 0.958 -10.12834 9.599337 + 1507 | -4.085973 5.332452 -0.77 0.444 -14.54247 6.370523 + 1520 | .2999876 5.150202 0.06 0.954 -9.799129 10.3991 + 1521 | 2.305827 4.790718 0.48 0.630 -7.088373 11.70003 + 1522 | -2.455248 5.014221 -0.49 0.624 -12.28772 7.377221 + 1523 | 1.404084 4.791198 0.29 0.770 -7.991056 10.79922 + 1524 | 18.1365 13.93912 1.30 0.193 -9.196958 45.46996 + 1525 | 7.005473 4.974141 1.41 0.159 -2.748403 16.75935 + 1526 | -1.372961 5.154376 -0.27 0.790 -11.48026 8.734342 + 1599 | 9.041117 6.79025 1.33 0.183 -4.273999 22.35623 + 1600 | -4.162343 4.968904 -0.84 0.402 -13.90595 5.581264 + 1602 | 10.58709 9.509935 1.11 0.266 -8.061098 29.23528 + 1603 | -12.76735 7.399114 -1.73 0.085 -27.2764 1.741697 + 1604 | -8.83599 4.930322 -1.79 0.073 -18.50394 .8319621 + 1605 | 5.548281 5.956798 0.93 0.352 -6.132504 17.22907 + 1606 | 4.752551 7.029554 0.68 0.499 -9.031819 18.53692 + 1608 | 4.773016 4.91257 0.97 0.331 -4.860125 14.40616 + 1609 | 9.094975 5.228762 1.74 0.082 -1.158191 19.34814 + 1610 | 1.409725 6.024116 0.23 0.815 -10.40306 13.22251 + 1611 | -8.231441 4.868725 -1.69 0.091 -17.77861 1.315723 + 1612 | 3.692925 5.354283 0.69 0.490 -6.806377 14.19223 + 1614 | -.6148651 5.681098 -0.11 0.914 -11.75503 10.5253 + 1615 | 1.597459 5.242209 0.30 0.761 -8.682077 11.87699 + 1616 | -4.714068 4.946658 -0.95 0.341 -14.41405 4.985917 + 1617 | -7.022744 5.2334 -1.34 0.180 -17.28501 3.239518 + 1619 | -1.087863 6.174734 -0.18 0.860 -13.196 11.02028 + 1620 | -.7724956 6.332178 -0.12 0.903 -13.18937 11.64438 + 1698 | -8.261077 5.354668 -1.54 0.123 -18.76114 2.238981 + 1699 | 27.20473 7.900062 3.44 0.001 11.71337 42.6961 + 1700 | 5.623298 6.287298 0.89 0.371 -6.70557 17.95217 + 1701 | -1.836583 5.188307 -0.35 0.723 -12.01042 8.337256 + 1704 | -1.441113 7.284437 -0.20 0.843 -15.72529 12.84306 + 1705 | 2.142587 7.40905 0.29 0.772 -12.38594 16.67112 + 1706 | 1.340839 5.168618 0.26 0.795 -8.794391 11.47607 + 1707 | 3.960849 5.066309 0.78 0.434 -5.973761 13.89546 + 1708 | 2.612447 5.661237 0.46 0.645 -8.488768 13.71366 + 1709 | .3116189 5.211485 0.06 0.952 -9.907669 10.53091 + 1798 | 10.91543 7.546011 1.45 0.148 -3.881667 25.71253 + 1799 | 6.679467 9.498941 0.70 0.482 -11.94717 25.3061 + 1800 | -.0535186 5.604964 -0.01 0.992 -11.04439 10.93735 + 1802 | 2.69818 5.202681 0.52 0.604 -7.503845 12.90021 + 1803 | 2.341737 5.396941 0.43 0.664 -8.241216 12.92469 + 1804 | -1.198434 5.268181 -0.23 0.820 -11.5289 9.132031 + 1806 | 1.895363 5.723966 0.33 0.741 -9.328858 13.11958 + 1807 | -8.517098 4.716132 -1.81 0.071 -17.76504 .7308444 + 1808 | 11.74968 13.70148 0.86 0.391 -15.11778 38.61714 + 1899 | 32.20872 22.27264 1.45 0.148 -11.46607 75.88351 + 1900 | 1.258838 5.4513 0.23 0.817 -9.430708 11.94838 + 1901 | 13.97263 5.610321 2.49 0.013 2.971255 24.974 + 1902 | 5.225645 6.291197 0.83 0.406 -7.110869 17.56216 + 1905 | 25.17455 7.905534 3.18 0.001 9.672453 40.67664 + 1906 | 5.957248 5.544914 1.07 0.283 -4.915866 16.83036 + 1907 | 7.493516 8.610066 0.87 0.384 -9.390107 24.37714 + 1908 | 2.852021 7.371513 0.39 0.699 -11.6029 17.30694 + 1909 | -2.222043 7.024534 -0.32 0.752 -15.99657 11.55248 + 1910 | -2.744867 5.983883 -0.46 0.646 -14.47876 8.98903 + 1911 | 18.13152 9.685919 1.87 0.061 -.8617557 37.12481 + 1912 | 1.116808 16.8106 0.07 0.947 -31.84737 34.08099 + 1914 | 9.289704 6.247783 1.49 0.137 -2.96168 21.54109 + 1915 | -5.806057 5.342255 -1.09 0.277 -16.28178 4.669662 + 1919 | 3.583786 8.46348 0.42 0.672 -13.01239 20.17997 + 1920 | 14.66477 7.416789 1.98 0.048 .1210613 29.20847 + 1925 | 16.44262 6.280883 2.62 0.009 4.12633 28.75891 + 1926 | 16.72458 7.362062 2.27 0.023 2.288187 31.16097 + 1927 | 1.429478 5.790572 0.25 0.805 -9.925353 12.78431 + 1929 | .3599758 6.030459 0.06 0.952 -11.46525 12.1852 + 1999 | 7.223907 14.52997 0.50 0.619 -21.26816 35.71598 + 2000 | -2.120516 5.078901 -0.42 0.676 -12.07982 7.838786 + 2001 | 3.481161 5.912824 0.59 0.556 -8.113396 15.07572 + 2002 | 1.669737 5.339207 0.31 0.755 -8.800004 12.13948 + 2003 | 23.98592 7.541911 3.18 0.001 9.196862 38.77498 + 2004 | 10.79602 5.187477 2.08 0.038 .6238065 20.96823 + 2005 | -5.012063 5.516102 -0.91 0.364 -15.82868 5.804555 + 2006 | 78.3569 9.198102 8.52 0.000 60.32019 96.39362 + 2007 | -.3718121 5.359217 -0.07 0.945 -10.88079 10.13717 + 2008 | 2.83559 4.755591 0.60 0.551 -6.489728 12.16091 + 2009 | 10.18546 9.869791 1.03 0.302 -9.168383 29.5393 + 2010 | -15.73869 4.839065 -3.25 0.001 -25.22769 -6.249685 + 2011 | -1.538626 5.096745 -0.30 0.763 -11.53292 8.455667 + 2012 | 2.2781 5.163287 0.44 0.659 -7.846677 12.40288 + 2013 | 6.259263 5.324927 1.18 0.240 -4.182475 16.701 + 2014 | 6.304371 7.180334 0.88 0.380 -7.775667 20.38441 + 2015 | 1.350097 5.479415 0.25 0.805 -9.39458 12.09477 + 2030 | 21.40888 8.70949 2.46 0.014 4.330297 38.48747 + 2099 | 20.7653 9.403734 2.21 0.027 2.325363 39.20524 + 2100 | -1.258231 5.612298 -0.22 0.823 -12.26348 9.747018 + 2101 | 2.228685 4.855711 0.46 0.646 -7.292961 11.75033 + 2102 | .6146114 5.044695 0.12 0.903 -9.277615 10.50684 + 2103 | 4.082254 4.856351 0.84 0.401 -5.440646 13.60515 + 2104 | -4.236743 4.761794 -0.89 0.374 -13.57422 5.100738 + 2105 | 12.89844 9.887675 1.30 0.192 -6.490467 32.28735 + 2199 | -13.56676 4.907489 -2.76 0.006 -23.18994 -3.943583 + 9999 | 28.08311 12.43213 2.26 0.024 3.704729 52.46148 + | + house_administration | 4.658369 2.346751 1.99 0.047 .0565845 9.260153 + house_agriculture | 1.227422 1.123003 1.09 0.275 -.974693 3.429538 + house_appropriations | -6.065679 1.780908 -3.41 0.001 -9.557891 -2.573466 + house_armedservices | 4.424096 1.478465 2.99 0.003 1.524949 7.323244 + house_budget | .7728865 2.258991 0.34 0.732 -3.656806 5.20258 + house_dc | -10.09396 5.072697 -1.99 0.047 -20.0411 -.1468222 + house_educlabor | 5.292406 .9503906 5.57 0.000 3.428769 7.156043 + house_energycommerce | 3.764108 .7210571 5.22 0.000 2.350175 5.178041 + house_foreignaffairs | 4.561831 1.61401 2.83 0.005 1.396892 7.726769 + house_governmentop | 2.8674 1.978349 1.45 0.147 -1.011978 6.746777 + house_intelligence | 8.438649 6.536815 1.29 0.197 -4.3795 21.2568 + house_interior | -1.692468 1.537463 -1.10 0.271 -4.707305 1.32237 + house_judiciary | 2.910414 .8103135 3.59 0.000 1.321457 4.499372 + house_mmf | -.3325008 1.825506 -0.18 0.855 -3.912167 3.247165 + house_pocs | 3.151758 2.40448 1.31 0.190 -1.563227 7.866743 + house_pwt | 2.105332 1.399789 1.50 0.133 -.6395377 4.850201 + house_rules | 3.48965 1.928181 1.81 0.070 -.2913526 7.270652 + house_sst | 4.534184 2.104558 2.15 0.031 .4073198 8.661048 + house_smallbusi | -4.359008 1.427407 -3.05 0.002 -7.158035 -1.559982 + house_soc | 2.711573 11.03188 0.25 0.806 -18.92103 24.34418 + house_veterans | 1.683242 1.71159 0.98 0.325 -1.673044 5.039527 + house_waysandmeans | 2.433504 .6981156 3.49 0.000 1.064558 3.802451 +house_naturalresources | -2.050106 1.29321 -1.59 0.113 -4.585984 .4857717 + house_bfs | 1.305838 1.108709 1.18 0.239 -.8682493 3.479925 + house_eeo | -2.191752 1.816699 -1.21 0.228 -5.754148 1.370643 + house_govreform | 6.620302 1.464652 4.52 0.000 3.748241 9.492363 + house_ir | 3.359119 1.713322 1.96 0.050 -.000563 6.718801 + house_natsecur | 9.475735 3.524032 2.69 0.007 2.565402 16.38607 + house_oversight | -3.211529 1.797985 -1.79 0.074 -6.737227 .3141704 + house_resources | .7130663 1.377149 0.52 0.605 -1.987408 3.413541 + house_science | -2.05489 1.368875 -1.50 0.133 -4.73914 .6293602 + house_transp | -.0087337 .9730999 -0.01 0.993 -1.916902 1.899434 + house_homeland | -2.333513 1.612786 -1.45 0.148 -5.496051 .829026 + sponsor_democrat | 0 (omitted) + sponsor_rookie | -4.322027 .8455794 -5.11 0.000 -5.980138 -2.663916 + sponsor_tenure_run | .3173143 .0968193 3.28 0.001 .1274596 .5071689 + sponsor_age | -.0192933 .0318544 -0.61 0.545 -.0817572 .0431705 + leader | 2.863062 .9191725 3.11 0.002 1.060642 4.665483 + ivycoll | -1.016147 .7001273 -1.45 0.147 -2.389039 .3567441 + black | -1.55087 .7909517 -1.96 0.050 -3.10186 .0001208 + occ0 | .0838806 .8790379 0.10 0.924 -1.63984 1.807601 + occ1 | .7285213 .9083686 0.80 0.423 -1.052714 2.509757 + occ2 | -1.138104 .7706856 -1.48 0.140 -2.649354 .3731467 + occ3 | -2.329068 1.04322 -2.23 0.026 -4.374736 -.2833994 + occ4 | -1.855653 1.0131 -1.83 0.067 -3.842258 .1309525 + borninstate | 1.377949 .5024467 2.74 0.006 .3926928 2.363205 + tot_bills | -.2168508 .0157458 -13.77 0.000 -.2477271 -.1859745 + _cons | 13.61513 5.010618 2.72 0.007 3.789728 23.44054 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,492 1 0 1 1 +reg numb_cosponsors sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 +> borninstate tot_bills if sponsor_party==200 & tag_bill==1, robust cluster(group_sponsor) +note: sponsor_democrat omitted because of collinearity + +Linear regression Number of obs = 27,671 + F(280, 2243) = . + Prob > F = . + R-squared = 0.1008 + Root MSE = 34.322 + + (Std. Err. adjusted for 2,244 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 3.491311 1.041668 3.35 0.001 1.448577 5.534045 + | + v2 | + 102 | -.2452976 1.516808 -0.16 0.872 -3.219792 2.729196 + 103 | -.0545515 1.381964 -0.04 0.969 -2.764614 2.655511 + 104 | 2.037326 1.330438 1.53 0.126 -.5716929 4.646346 + 105 | 3.27278 1.330268 2.46 0.014 .6640947 5.881466 + 106 | 4.125883 1.399836 2.95 0.003 1.380774 6.870992 + 107 | 4.209118 1.347926 3.12 0.002 1.565805 6.852432 + 108 | 3.431005 1.293283 2.65 0.008 .8948491 5.967162 + 109 | 3.828663 1.215376 3.15 0.002 1.445284 6.212041 + 110 | -.4932209 1.248869 -0.39 0.693 -2.942281 1.955839 + 111 | -1.589614 1.391831 -1.14 0.254 -4.319026 1.139797 + | + minor | + 101 | -5.080967 4.190121 -1.21 0.225 -13.29789 3.135954 + 103 | 6.711429 10.69607 0.63 0.530 -14.2638 27.68666 + 104 | 3.889925 4.699974 0.83 0.408 -5.326828 13.10668 + 105 | 12.3011 6.784875 1.81 0.070 -1.00419 25.60639 + 107 | 10.59882 3.609122 2.94 0.003 3.521248 17.67638 + 108 | -.8434071 4.697272 -0.18 0.858 -10.05486 8.368048 + 110 | 11.77062 17.39172 0.68 0.499 -22.33493 45.87618 + 200 | 8.926483 4.846613 1.84 0.066 -.5778319 18.4308 + 201 | 1.2226 7.739498 0.16 0.874 -13.95473 16.39993 + 202 | 19.24361 9.875822 1.95 0.051 -.1230969 38.61032 + 204 | 7.424285 4.822468 1.54 0.124 -2.032682 16.88125 + 205 | 28.12529 17.78599 1.58 0.114 -6.753429 63.00401 + 206 | 22.08031 7.204887 3.06 0.002 7.95137 36.20926 + 207 | 24.72833 5.467963 4.52 0.000 14.00553 35.45113 + 208 | 7.284166 4.274864 1.70 0.089 -1.098937 15.66727 + 209 | -9.239738 3.653648 -2.53 0.012 -16.40462 -2.074854 + 299 | 71.94341 17.36226 4.14 0.000 37.89563 105.9912 + 300 | 6.828922 5.737461 1.19 0.234 -4.422365 18.08021 + 301 | 8.745857 4.525131 1.93 0.053 -.1280243 17.61974 + 302 | 12.12111 3.9385 3.08 0.002 4.397627 19.8446 + 321 | 12.71546 4.85816 2.62 0.009 3.188498 22.24242 + 322 | 4.586825 4.169589 1.10 0.271 -3.589832 12.76348 + 323 | 13.22057 5.469235 2.42 0.016 2.495281 23.94586 + 324 | 4.637635 5.109972 0.91 0.364 -5.383133 14.6584 + 325 | 6.613804 4.349528 1.52 0.129 -1.915717 15.14333 + 331 | 24.22016 5.673403 4.27 0.000 13.09449 35.34583 + 332 | 12.50722 4.445034 2.81 0.005 3.790414 21.22403 + 333 | 7.859413 7.446903 1.06 0.291 -6.74413 22.46295 + 334 | 15.20405 4.818027 3.16 0.002 5.755793 24.65231 + 335 | 10.98795 5.719618 1.92 0.055 -.228345 22.20425 + 336 | 22.31639 6.660475 3.35 0.001 9.255054 35.37773 + 341 | 12.73573 6.334434 2.01 0.044 .3137617 25.15769 + 342 | 14.22493 9.21271 1.54 0.123 -3.841395 32.29126 + 343 | .5268094 4.689385 0.11 0.911 -8.669179 9.722798 + 344 | 39.88532 11.89633 3.35 0.001 16.55635 63.21428 + 398 | 20.70522 4.907895 4.22 0.000 11.08073 30.32971 + 399 | 8.114322 9.397162 0.86 0.388 -10.31372 26.54236 + 400 | -.1487345 5.157921 -0.03 0.977 -10.26353 9.966062 + 401 | .8328445 4.082557 0.20 0.838 -7.17314 8.838828 + 402 | 3.432531 3.919679 0.88 0.381 -4.254046 11.11911 + 403 | 16.46186 7.803555 2.11 0.035 1.158914 31.7648 + 404 | 11.04379 7.301297 1.51 0.131 -3.274213 25.3618 + 405 | 15.91832 9.603316 1.66 0.098 -2.913998 34.75063 + 498 | 6.652466 7.942108 0.84 0.402 -8.922184 22.22712 + 499 | 19.28245 11.84172 1.63 0.104 -3.939424 42.50432 + 500 | 3.266731 5.796836 0.56 0.573 -8.100992 14.63445 + 501 | 11.61299 5.106817 2.27 0.023 1.59841 21.62757 + 502 | 2.998331 4.108416 0.73 0.466 -5.058363 11.05503 + 503 | 8.086853 4.060055 1.99 0.047 .1249945 16.04871 + 504 | 22.91004 5.619427 4.08 0.000 11.89021 33.92986 + 505 | 7.312174 4.024655 1.82 0.069 -.5802648 15.20461 + 506 | 11.13663 7.072116 1.57 0.115 -2.731951 25.0052 + 508 | -.1769874 3.976847 -0.04 0.965 -7.975673 7.621698 + 529 | 15.48976 7.496551 2.07 0.039 .7888538 30.19066 + 530 | 6.519912 3.731363 1.75 0.081 -.7973731 13.8372 + 599 | 15.62161 8.930063 1.75 0.080 -1.890446 33.13366 + 600 | 13.1411 5.339114 2.46 0.014 2.670984 23.61123 + 601 | 8.161229 3.762445 2.17 0.030 .7829916 15.53947 + 602 | 10.5021 3.982397 2.64 0.008 2.692533 18.31167 + 603 | 11.35112 5.517849 2.06 0.040 .530494 22.17174 + 604 | 1.439752 4.099501 0.35 0.725 -6.59946 9.478965 + 606 | 12.63372 5.443132 2.32 0.020 1.959621 23.30783 + 607 | 16.77345 5.421463 3.09 0.002 6.141838 27.40506 + 609 | 9.448352 5.475969 1.73 0.085 -1.290144 20.18685 + 698 | 3.279504 6.021875 0.54 0.586 -8.529526 15.08853 + 699 | 4.060874 5.971319 0.68 0.497 -7.649016 15.77076 + 700 | -.7858285 4.052794 -0.19 0.846 -8.733447 7.16179 + 701 | 1.758369 4.236579 0.42 0.678 -6.549658 10.06639 + 703 | -.4487963 3.957217 -0.11 0.910 -8.208986 7.311393 + 704 | 1.393938 4.227621 0.33 0.742 -6.896521 9.684398 + 705 | 1.329177 4.065751 0.33 0.744 -6.64385 9.302204 + 707 | 10.35224 7.484945 1.38 0.167 -4.325901 25.03038 + 708 | 13.98886 11.07158 1.26 0.207 -7.722759 35.70049 + 709 | 7.007905 3.804326 1.84 0.066 -.4524621 14.46827 + 710 | 1.910273 3.774083 0.51 0.613 -5.490788 9.311334 + 711 | 1.748859 3.826125 0.46 0.648 -5.754257 9.251974 + 798 | 5.751346 6.623686 0.87 0.385 -7.237849 18.74054 + 799 | 1.129447 4.33701 0.26 0.795 -7.375525 9.63442 + 800 | -5.894835 3.886671 -1.52 0.129 -13.51668 1.727013 + 801 | -5.350587 4.784669 -1.12 0.264 -14.73343 4.032255 + 802 | -5.222959 3.83971 -1.36 0.174 -12.75272 2.306799 + 803 | 4.578072 3.85986 1.19 0.236 -2.991199 12.14734 + 805 | -4.551873 3.806946 -1.20 0.232 -12.01738 2.913633 + 806 | 4.832273 4.216605 1.15 0.252 -3.436583 13.10113 + 807 | .9066208 4.242731 0.21 0.831 -7.413469 9.226711 + 898 | -6.47803 3.96609 -1.63 0.103 -14.25562 1.299561 + 899 | -6.759922 4.38704 -1.54 0.123 -15.363 1.843161 + 1000 | .3489737 6.013032 0.06 0.954 -11.44271 12.14066 + 1001 | .5771928 3.949052 0.15 0.884 -7.166986 8.321371 + 1002 | 3.365925 4.229775 0.80 0.426 -4.928759 11.66061 + 1003 | 3.440724 3.979742 0.86 0.387 -4.363637 11.24509 + 1005 | 4.637491 5.433371 0.85 0.393 -6.01747 15.29245 + 1006 | 9.935882 4.776776 2.08 0.038 .5685178 19.30325 + 1007 | -.9891565 3.867164 -0.26 0.798 -8.57275 6.594437 + 1010 | -.5201333 5.693984 -0.09 0.927 -11.68616 10.6459 + 1098 | -10.14154 3.969891 -2.55 0.011 -17.92658 -2.356494 + 1099 | -1.850107 6.522919 -0.28 0.777 -14.6417 10.94148 + 1200 | 7.992395 6.508524 1.23 0.220 -4.770964 20.75575 + 1201 | 2.578776 4.426929 0.58 0.560 -6.10253 11.26008 + 1202 | 1.021329 5.123051 0.20 0.842 -9.025088 11.06775 + 1203 | 2.3725 4.030358 0.59 0.556 -5.531121 10.27612 + 1204 | 1.758313 3.884911 0.45 0.651 -5.860084 9.37671 + 1205 | 5.953908 4.59662 1.30 0.195 -3.060166 14.96798 + 1206 | -1.10947 4.152235 -0.27 0.789 -9.252095 7.033155 + 1207 | 6.663726 4.075919 1.63 0.102 -1.329242 14.65669 + 1208 | 16.74513 4.785404 3.50 0.000 7.360849 26.12942 + 1209 | 21.31216 4.495824 4.74 0.000 12.49575 30.12857 + 1210 | 9.160413 4.575427 2.00 0.045 .1878991 18.13293 + 1211 | 8.932087 5.232712 1.71 0.088 -1.329378 19.19355 + 1299 | 2.732537 6.355334 0.43 0.667 -9.730414 15.19549 + 1300 | 10.84126 7.502076 1.45 0.149 -3.870478 25.553 + 1301 | 11.35316 7.302461 1.55 0.120 -2.967129 25.67345 + 1302 | -1.079279 4.329256 -0.25 0.803 -9.569047 7.410488 + 1303 | 6.169502 3.915177 1.58 0.115 -1.508246 13.84725 + 1304 | 21.40046 7.519932 2.85 0.004 6.65371 36.14722 + 1305 | 31.46061 9.646437 3.26 0.001 12.54373 50.37748 + 1399 | -1.717725 4.956023 -0.35 0.729 -11.4366 8.001146 + 1400 | 7.380364 5.543071 1.33 0.183 -3.489721 18.25045 + 1401 | 12.47744 6.160604 2.03 0.043 .3963605 24.55852 + 1403 | 2.72966 7.954964 0.34 0.732 -12.8702 18.32952 + 1404 | -.2512408 4.914343 -0.05 0.959 -9.888377 9.385895 + 1405 | -1.825026 3.955563 -0.46 0.645 -9.581972 5.93192 + 1406 | 7.504764 6.294658 1.19 0.233 -4.839201 19.84873 + 1407 | 1.430832 4.356075 0.33 0.743 -7.111528 9.973192 + 1408 | 9.355496 8.038404 1.16 0.245 -6.407993 25.11898 + 1409 | 10.74809 5.804111 1.85 0.064 -.6338982 22.13008 + 1410 | 11.02805 5.575459 1.98 0.048 .0944544 21.96165 + 1499 | 1.711926 5.655269 0.30 0.762 -9.378183 12.80203 + 1500 | 5.898396 7.066824 0.83 0.404 -7.959802 19.75659 + 1501 | 8.580896 4.462352 1.92 0.055 -.1698748 17.33167 + 1502 | 1.955557 4.330298 0.45 0.652 -6.536253 10.44737 + 1504 | 12.58095 5.977006 2.10 0.035 .8599105 24.30199 + 1505 | 7.860027 4.454064 1.76 0.078 -.8744902 16.59454 + 1507 | 5.332194 5.140953 1.04 0.300 -4.749329 15.41372 + 1520 | 6.272863 5.711802 1.10 0.272 -4.928109 17.47383 + 1521 | 5.921665 3.824189 1.55 0.122 -1.577655 13.42098 + 1522 | 1.779041 4.616163 0.39 0.700 -7.273356 10.83144 + 1523 | 1.618537 3.744654 0.43 0.666 -5.724813 8.961886 + 1524 | 31.09316 18.81227 1.65 0.099 -5.798127 67.98445 + 1525 | 5.890998 4.815699 1.22 0.221 -3.552694 15.33469 + 1526 | 11.06659 5.891716 1.88 0.060 -.4871987 22.62037 + 1599 | 16.00599 7.61956 2.10 0.036 1.063859 30.94811 + 1600 | -8.515593 4.388312 -1.94 0.052 -17.12117 .0899829 + 1602 | 17.62132 10.91703 1.61 0.107 -3.787216 39.02986 + 1603 | -3.756282 5.594195 -0.67 0.502 -14.72662 7.214058 + 1604 | 9.872298 8.940407 1.10 0.270 -7.660038 27.40463 + 1605 | 9.868286 7.27824 1.36 0.175 -4.404504 24.14108 + 1606 | .1259345 6.768011 0.02 0.985 -13.14629 13.39816 + 1608 | 18.71728 4.738522 3.95 0.000 9.424929 28.00962 + 1609 | 15.51514 4.326267 3.59 0.000 7.031238 23.99905 + 1610 | 6.025295 9.280062 0.65 0.516 -12.17311 24.2237 + 1611 | -3.175439 4.977944 -0.64 0.524 -12.9373 6.58642 + 1612 | 7.155756 4.828928 1.48 0.139 -2.313879 16.62539 + 1614 | -8.768642 4.82534 -1.82 0.069 -18.23124 .6939563 + 1615 | .0969557 4.131328 0.02 0.981 -8.004669 8.198581 + 1616 | -7.401684 3.666315 -2.02 0.044 -14.59141 -.2119589 + 1617 | 2.951308 6.801593 0.43 0.664 -10.38677 16.28938 + 1619 | 9.089537 7.202693 1.26 0.207 -5.035102 23.21418 + 1620 | -6.075538 3.746716 -1.62 0.105 -13.42293 1.271855 + 1698 | -11.11096 4.90351 -2.27 0.024 -20.72686 -1.495072 + 1699 | 10.98823 6.872008 1.60 0.110 -2.48793 24.46439 + 1700 | 3.219461 7.377858 0.44 0.663 -11.24868 17.6876 + 1701 | -1.686395 4.2161 -0.40 0.689 -9.95426 6.58147 + 1704 | .5053421 4.290673 0.12 0.906 -7.908763 8.919447 + 1705 | -9.3181 4.658165 -2.00 0.046 -18.45286 -.1833361 + 1706 | 7.669903 4.897921 1.57 0.118 -1.935029 17.27484 + 1707 | 14.81231 5.62375 2.63 0.008 3.784008 25.84061 + 1708 | -2.275889 3.788865 -0.60 0.548 -9.705937 5.15416 + 1709 | 13.20028 5.296419 2.49 0.013 2.813881 23.58667 + 1798 | 7.065942 5.580386 1.27 0.206 -3.877318 18.0092 + 1799 | -6.292572 4.025435 -1.56 0.118 -14.18654 1.601395 + 1800 | -3.994933 4.204837 -0.95 0.342 -12.24071 4.250847 + 1802 | -.1358937 3.817449 -0.04 0.972 -7.621995 7.350208 + 1803 | 2.553557 5.369844 0.48 0.634 -7.976827 13.08394 + 1804 | -.5218596 4.341235 -0.12 0.904 -9.035117 7.991398 + 1806 | -2.794502 3.693245 -0.76 0.449 -10.03704 4.448033 + 1807 | -8.729548 3.452034 -2.53 0.012 -15.49906 -1.960033 + 1808 | 8.085023 11.37867 0.71 0.477 -14.2288 30.39885 + 1899 | 1.421875 13.34277 0.11 0.915 -24.7436 27.58735 + 1900 | -4.580509 4.702445 -0.97 0.330 -13.80211 4.641089 + 1901 | 1.754556 4.122557 0.43 0.670 -6.32987 9.838982 + 1902 | 11.99695 6.744223 1.78 0.075 -1.228616 25.22253 + 1905 | 13.92044 9.847711 1.41 0.158 -5.391141 33.23202 + 1906 | 3.395812 4.766957 0.71 0.476 -5.952296 12.74392 + 1907 | -.0484852 4.133677 -0.01 0.991 -8.154718 8.057748 + 1908 | 2.049789 7.679326 0.27 0.790 -13.00954 17.10912 + 1909 | .0985467 4.845925 0.02 0.984 -9.404419 9.601512 + 1910 | 12.67465 8.25196 1.54 0.125 -3.507621 28.85693 + 1911 | .6109768 5.286085 0.12 0.908 -9.755152 10.97711 + 1912 | -7.632756 3.781369 -2.02 0.044 -15.0481 -.2174087 + 1914 | 6.480546 5.206018 1.24 0.213 -3.728572 16.68966 + 1915 | -11.58897 4.480549 -2.59 0.010 -20.37543 -2.802517 + 1919 | .4001599 4.119416 0.10 0.923 -7.678106 8.478426 + 1920 | 28.45183 8.734159 3.26 0.001 11.32395 45.5797 + 1925 | 15.45406 5.581269 2.77 0.006 4.509071 26.39905 + 1926 | 6.237839 4.38045 1.42 0.155 -2.35232 14.828 + 1927 | 2.685922 4.273074 0.63 0.530 -5.693671 11.06551 + 1929 | 9.988634 5.786111 1.73 0.084 -1.358058 21.33533 + 1999 | -5.825729 4.872354 -1.20 0.232 -15.38052 3.729066 + 2000 | -2.620641 3.97992 -0.66 0.510 -10.42535 5.18407 + 2001 | 3.519084 4.143864 0.85 0.396 -4.607125 11.64529 + 2002 | 6.303499 4.025325 1.57 0.117 -1.590252 14.19725 + 2003 | 15.10101 6.134663 2.46 0.014 3.070795 27.13122 + 2004 | 4.271908 3.825628 1.12 0.264 -3.230234 11.77405 + 2005 | 8.137188 10.20414 0.80 0.425 -11.87336 28.14773 + 2006 | 80.22488 9.027752 8.89 0.000 62.52126 97.92851 + 2007 | 6.692218 5.578088 1.20 0.230 -4.246537 17.63097 + 2008 | 5.272954 3.648962 1.45 0.149 -1.882742 12.42865 + 2009 | 2.112805 5.345013 0.40 0.693 -8.368885 12.59449 + 2011 | 4.95717 3.689432 1.34 0.179 -2.277889 12.19223 + 2012 | 1.096245 3.970118 0.28 0.782 -6.689245 8.881735 + 2013 | .4824023 4.608388 0.10 0.917 -8.55475 9.519554 + 2014 | 1.258803 4.362782 0.29 0.773 -7.29671 9.814315 + 2015 | -1.707882 5.174098 -0.33 0.741 -11.8544 8.438639 + 2030 | 20.68241 10.25085 2.02 0.044 .5802701 40.78456 + 2099 | 12.04829 8.948617 1.35 0.178 -5.500148 29.59673 + 2100 | -2.562184 4.458168 -0.57 0.566 -11.30475 6.180383 + 2101 | 2.330427 3.614901 0.64 0.519 -4.758474 9.419328 + 2102 | -3.118556 3.499174 -0.89 0.373 -9.980514 3.743401 + 2103 | -2.737347 3.496885 -0.78 0.434 -9.594816 4.120123 + 2104 | -4.62376 3.499231 -1.32 0.187 -11.48583 2.238309 + 2105 | 9.945549 7.957169 1.25 0.211 -5.658636 25.54973 + 2199 | -2.202226 5.170139 -0.43 0.670 -12.34098 7.936531 + 9999 | 30.01716 14.85065 2.02 0.043 .8946997 59.13963 + | + house_administration | -.6786054 1.679938 -0.40 0.686 -3.973002 2.615791 + house_agriculture | 3.650448 1.40511 2.60 0.009 .8949968 6.405899 + house_appropriations | 5.959302 4.664615 1.28 0.202 -3.188112 15.10672 + house_armedservices | 5.715412 1.85167 3.09 0.002 2.084245 9.346578 + house_budget | 6.129029 3.379929 1.81 0.070 -.499087 12.75715 + house_dc | .0724717 3.152683 0.02 0.982 -6.110009 6.254952 + house_educlabor | -.6797878 1.13638 -0.60 0.550 -2.908254 1.548679 + house_energycommerce | 5.828716 .9129024 6.38 0.000 4.038494 7.618938 + house_foreignaffairs | 2.914116 1.554799 1.87 0.061 -.1348801 5.963112 + house_governmentop | 7.106595 2.916847 2.44 0.015 1.386594 12.8266 + house_intelligence | 4.231406 6.055489 0.70 0.485 -7.643543 16.10635 + house_interior | .1176653 1.289697 0.09 0.927 -2.411459 2.646789 + house_judiciary | 3.529519 .8879478 3.97 0.000 1.788234 5.270804 + house_mmf | 2.197425 1.758119 1.25 0.211 -1.250285 5.645134 + house_pocs | 2.473858 2.344307 1.06 0.291 -2.12338 7.071095 + house_pwt | 2.093001 1.584949 1.32 0.187 -1.015119 5.201121 + house_rules | 2.934198 1.770148 1.66 0.098 -.5371022 6.405498 + house_sst | 5.611157 4.702133 1.19 0.233 -3.609831 14.83214 + house_smallbusi | -4.812502 1.916499 -2.51 0.012 -8.5708 -1.054205 + house_soc | -10.09088 3.688355 -2.74 0.006 -17.32383 -2.857938 + house_veterans | .7963157 1.868623 0.43 0.670 -2.868095 4.460727 + house_waysandmeans | 3.55388 .8267168 4.30 0.000 1.93267 5.17509 +house_naturalresources | 1.811316 1.124571 1.61 0.107 -.3939922 4.016624 + house_bfs | .7637381 1.31939 0.58 0.563 -1.823614 3.35109 + house_eeo | 2.050225 3.312995 0.62 0.536 -4.446632 8.547081 + house_govreform | 1.666982 1.280747 1.30 0.193 -.8445917 4.178556 + house_ir | 5.315739 1.712303 3.10 0.002 1.957876 8.673603 + house_natsecur | 8.570509 4.189552 2.05 0.041 .3547042 16.78631 + house_oversight | 3.445657 1.848871 1.86 0.063 -.1800201 7.071334 + house_resources | -1.45444 .9474954 -1.54 0.125 -3.3125 .4036195 + house_science | .6261027 1.778618 0.35 0.725 -2.861806 4.114011 + house_transp | 2.95113 1.157037 2.55 0.011 .6821547 5.220104 + house_homeland | -.6143524 1.841824 -0.33 0.739 -4.226209 2.997505 + sponsor_democrat | 0 (omitted) + sponsor_rookie | -3.383698 .728465 -4.64 0.000 -4.812234 -1.955162 + sponsor_tenure_run | -.0672184 .1283688 -0.52 0.601 -.3189524 .1845157 + sponsor_age | .0240554 .0335199 0.72 0.473 -.0416778 .0897886 + leader | -.8892028 .7941094 -1.12 0.263 -2.446469 .6680634 + ivycoll | -.1304497 1.019494 -0.13 0.898 -2.1297 1.8688 + black | -4.244945 4.485983 -0.95 0.344 -13.04206 4.552167 + occ0 | 4.724735 .953074 4.96 0.000 2.855736 6.593734 + occ1 | 3.864212 1.151973 3.35 0.001 1.605168 6.123257 + occ2 | 3.423031 .8120776 4.22 0.000 1.830529 5.015534 + occ3 | .0277126 1.200055 0.02 0.982 -2.325621 2.381046 + occ4 | 3.734725 .7859738 4.75 0.000 2.193413 5.276037 + borninstate | .6829939 .5762761 1.19 0.236 -.4470963 1.813084 + tot_bills | -.0959565 .0412938 -2.32 0.020 -.1769346 -.0149784 + _cons | 2.337229 3.966328 0.59 0.556 -5.440828 10.11529 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,244 1 0 1 1 +reg numb_cosponsors sponsor_female i.v2 i.minor house_* NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if tag_bill==1, robust cluster(group_sp +> onsor) + +Linear regression Number of obs = 61,334 + F(277, 4790) = . + Prob > F = . + R-squared = 0.0809 + Root MSE = 34.524 + + (Std. Err. adjusted for 4,791 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | .8458391 .6182903 1.37 0.171 -.3662939 2.057972 + | + v2 | + 102 | -1.031999 .9126947 -1.13 0.258 -2.8213 .7573016 + 103 | -4.407009 1.148608 -3.84 0.000 -6.658809 -2.155209 + 104 | -4.124777 1.27562 -3.23 0.001 -6.625579 -1.623976 + 105 | -1.116073 1.257374 -0.89 0.375 -3.581103 1.348958 + 106 | -.0405762 1.337447 -0.03 0.976 -2.662586 2.581433 + 107 | .0158528 1.306425 0.01 0.990 -2.54534 2.577046 + 108 | 2.518464 3.114717 0.81 0.419 -3.587812 8.62474 + 109 | 1.333172 3.058587 0.44 0.663 -4.663064 7.329408 + 110 | 1.633175 3.014073 0.54 0.588 -4.275793 7.542143 + 111 | -.4817116 3.059915 -0.16 0.875 -6.48055 5.517127 + | + minor | + 101 | -2.297414 4.922427 -0.47 0.641 -11.94763 7.352803 + 103 | -4.023304 4.783803 -0.84 0.400 -13.40175 5.355146 + 104 | .4831787 3.588464 0.13 0.893 -6.551859 7.518216 + 105 | 7.624383 5.107668 1.49 0.136 -2.388992 17.63776 + 107 | 6.92264 2.960415 2.34 0.019 1.118866 12.72641 + 108 | 5.171802 5.092451 1.02 0.310 -4.811742 15.15534 + 110 | 5.808259 9.817323 0.59 0.554 -13.4382 25.05472 + 200 | 11.27069 3.825028 2.95 0.003 3.771875 18.7695 + 201 | 6.932054 5.378928 1.29 0.198 -3.613116 17.47722 + 202 | 33.07645 6.293908 5.26 0.000 20.7375 45.4154 + 204 | 11.81521 6.330786 1.87 0.062 -.5960395 24.22646 + 205 | 60.91676 17.8039 3.42 0.001 26.01293 95.82058 + 206 | 10.59371 4.408351 2.40 0.016 1.951317 19.2361 + 207 | 24.15245 4.423286 5.46 0.000 15.48078 32.82412 + 208 | 3.862164 3.26015 1.18 0.236 -2.529228 10.25356 + 209 | 14.12901 11.70737 1.21 0.228 -8.822815 37.08082 + 299 | 54.31645 13.71368 3.96 0.000 27.43134 81.20155 + 300 | 7.75269 4.007805 1.93 0.053 -.1044496 15.60983 + 301 | 6.353465 3.286805 1.93 0.053 -.0901824 12.79711 + 302 | 10.16762 3.154756 3.22 0.001 3.982854 16.35239 + 321 | 7.250637 3.401648 2.13 0.033 .5818434 13.91943 + 322 | 1.322522 3.117859 0.42 0.671 -4.789914 7.434959 + 323 | 14.19565 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0.005 2.684214 14.80277 + 603 | 7.14841 3.566055 2.00 0.045 .1573051 14.13952 + 604 | .4778239 4.363551 0.11 0.913 -8.07674 9.032387 + 606 | 10.18502 4.645174 2.19 0.028 1.078341 19.29169 + 607 | 8.245628 3.382655 2.44 0.015 1.61407 14.87719 + 609 | 5.869387 4.552869 1.29 0.197 -3.056327 14.7951 + 698 | -4.519693 3.489954 -1.30 0.195 -11.36161 2.32222 + 699 | 5.57881 4.328092 1.29 0.197 -2.906238 14.06386 + 700 | 2.977927 3.227902 0.92 0.356 -3.350244 9.306097 + 701 | 4.260816 3.415951 1.25 0.212 -2.436016 10.95765 + 703 | .8331671 3.128143 0.27 0.790 -5.29943 6.965764 + 704 | 3.507215 3.309183 1.06 0.289 -2.980304 9.994734 + 705 | 5.909845 3.464183 1.71 0.088 -.881544 12.70123 + 707 | 17.76233 4.955231 3.58 0.000 8.047797 27.47685 + 708 | 5.484145 4.270988 1.28 0.199 -2.888954 13.85724 + 709 | 12.38959 3.160715 3.92 0.000 6.193142 18.58605 + 710 | 4.073017 3.136174 1.30 0.194 -2.075324 10.22136 + 711 | 6.306821 3.553644 1.77 0.076 -.659953 13.2736 + 798 | 4.200305 4.116503 1.02 0.308 -3.869933 12.27054 + 799 | 1.325003 4.479541 0.30 0.767 -7.456955 10.10696 + 800 | -2.584346 3.131223 -0.83 0.409 -8.722982 3.55429 + 801 | -2.54822 3.571677 -0.71 0.476 -9.550347 4.453906 + 802 | -2.399999 3.116287 -0.77 0.441 -8.509352 3.709354 + 803 | 2.230048 3.018665 0.74 0.460 -3.687922 8.148019 + 805 | -.3442214 3.293568 -0.10 0.917 -6.801128 6.112685 + 806 | 2.974112 3.13545 0.95 0.343 -3.17281 9.121033 + 807 | 2.063176 3.277968 0.63 0.529 -4.363147 8.489498 + 898 | 2.230232 4.193894 0.53 0.595 -5.991728 10.45219 + 899 | -2.276498 4.21404 -0.54 0.589 -10.53795 5.984957 + 1000 | .5512864 3.995626 0.14 0.890 -7.281975 8.384548 + 1001 | -.9212114 3.147643 -0.29 0.770 -7.092039 5.249616 + 1002 | 2.109923 3.30354 0.64 0.523 -4.366533 8.58638 + 1003 | 3.627335 3.124278 1.16 0.246 -2.497684 9.752355 + 1005 | 7.691695 4.31609 1.78 0.075 -.769824 16.15321 + 1006 | 5.99516 3.576646 1.68 0.094 -1.016709 13.00703 + 1007 | .4740707 3.133778 0.15 0.880 -5.669574 6.617716 + 1010 | .496543 3.795124 0.13 0.896 -6.943644 7.93673 + 1098 | -8.304584 3.411117 -2.43 0.015 -14.99194 -1.617228 + 1099 | 1.756179 4.96365 0.35 0.723 -7.974854 11.48721 + 1200 | 8.994283 5.044348 1.78 0.075 -.8949558 18.88352 + 1201 | 2.996376 3.509027 0.85 0.393 -3.88293 9.875681 + 1202 | .7610752 3.787906 0.20 0.841 -6.66496 8.187111 + 1203 | .6345962 3.160062 0.20 0.841 -5.560577 6.82977 + 1204 | 1.041009 3.138464 0.33 0.740 -5.111823 7.193841 + 1205 | 3.066182 3.459303 0.89 0.375 -3.715642 9.848006 + 1206 | .7722438 3.886405 0.20 0.843 -6.846896 8.391383 + 1207 | 4.692773 3.296057 1.42 0.155 -1.769014 11.15456 + 1208 | 10.78745 3.293873 3.28 0.001 4.329951 17.24496 + 1209 | 11.1143 3.22493 3.45 0.001 4.791951 17.43664 + 1210 | 5.963259 3.458513 1.72 0.085 -.8170158 12.74353 + 1211 | 6.851442 4.025065 1.70 0.089 -1.039534 14.74242 + 1299 | 9.369503 7.735156 1.21 0.226 -5.794957 24.53396 + 1300 | 11.9234 5.066175 2.35 0.019 1.991373 21.85543 + 1301 | 10.93935 3.825257 2.86 0.004 3.440091 18.43861 + 1302 | -2.014221 3.106106 -0.65 0.517 -8.103615 4.075173 + 1303 | 6.333828 3.23573 1.96 0.050 -.0096895 12.67735 + 1304 | 13.94155 4.242517 3.29 0.001 5.624272 22.25884 + 1305 | 14.49315 4.88507 2.97 0.003 4.916171 24.07013 + 1399 | 7.677185 9.576856 0.80 0.423 -11.09785 26.45222 + 1400 | 5.133525 3.593667 1.43 0.153 -1.911713 12.17876 + 1401 | 7.978987 3.686913 2.16 0.031 .7509442 15.20703 + 1403 | 6.544059 4.43371 1.48 0.140 -2.14805 15.23617 + 1404 | 1.682615 5.320455 0.32 0.752 -8.747922 12.11315 + 1405 | -.1657782 3.224162 -0.05 0.959 -6.486617 6.15506 + 1406 | 8.77211 3.926847 2.23 0.026 1.073685 16.47053 + 1407 | 3.316153 3.446809 0.96 0.336 -3.441175 10.07348 + 1408 | 3.294256 4.377826 0.75 0.452 -5.288295 11.87681 + 1409 | 14.57782 4.746445 3.07 0.002 5.272609 23.88303 + 1410 | 5.218629 3.595254 1.45 0.147 -1.82972 12.26698 + 1499 | -.8377855 3.913052 -0.21 0.830 -8.509165 6.833594 + 1500 | 5.304443 5.164014 1.03 0.304 -4.819396 15.42828 + 1501 | 4.859659 3.186969 1.52 0.127 -1.388264 11.10758 + 1502 | 3.491891 3.301038 1.06 0.290 -2.97966 9.963442 + 1504 | 9.673712 3.830486 2.53 0.012 2.1642 17.18322 + 1505 | 3.699924 3.295835 1.12 0.262 -2.761427 10.16127 + 1507 | 1.231988 3.805037 0.32 0.746 -6.227632 8.691608 + 1520 | 3.148187 3.630961 0.87 0.386 -3.970165 10.26654 + 1521 | 3.84372 2.981399 1.29 0.197 -2.001193 9.688632 + 1522 | .2936485 3.374684 0.09 0.931 -6.322283 6.90958 + 1523 | 1.193244 2.962406 0.40 0.687 -4.614432 7.000921 + 1524 | 21.42736 10.94328 1.96 0.050 -.0264957 42.88122 + 1525 | 6.671375 3.249259 2.05 0.040 .3013348 13.04142 + 1526 | 4.064408 3.809849 1.07 0.286 -3.404646 11.53346 + 1599 | 12.17648 5.068527 2.40 0.016 2.239838 22.11312 + 1600 | -4.690612 3.273386 -1.43 0.152 -11.10795 1.726729 + 1602 | 13.2572 7.222029 1.84 0.066 -.9012984 27.41569 + 1603 | -6.825559 4.66454 -1.46 0.143 -15.9702 2.319082 + 1604 | -3.012815 4.309312 -0.70 0.484 -11.46105 5.435416 + 1605 | 5.565858 4.295704 1.30 0.195 -2.855694 13.98741 + 1606 | 4.111174 4.863617 0.85 0.398 -5.423749 13.6461 + 1608 | 11.1181 3.327328 3.34 0.001 4.595011 17.6412 + 1609 | 11.60373 3.3194 3.50 0.000 5.096185 18.11128 + 1610 | 4.085286 4.626954 0.88 0.377 -4.98567 13.15624 + 1611 | -5.296776 3.322889 -1.59 0.111 -11.81116 1.217612 + 1612 | 5.505883 3.529435 1.56 0.119 -1.413431 12.4252 + 1614 | -2.110432 3.788055 -0.56 0.577 -9.53676 5.315897 + 1615 | .3508299 3.284512 0.11 0.915 -6.088322 6.789982 + 1616 | -5.023316 3.066704 -1.64 0.101 -11.03547 .9888333 + 1617 | -2.72568 3.693816 -0.74 0.461 -9.967257 4.515896 + 1619 | 3.932485 4.35404 0.90 0.366 -4.603435 12.4684 + 1620 | -2.712551 4.118526 -0.66 0.510 -10.78675 5.361651 + 1698 | -7.900178 3.375968 -2.34 0.019 -14.51863 -1.281729 + 1699 | 19.15648 5.236372 3.66 0.000 8.890785 29.42217 + 1700 | 6.207708 4.854069 1.28 0.201 -3.308498 15.72391 + 1701 | -1.259788 3.298822 -0.38 0.703 -7.726994 5.207418 + 1704 | .1603765 3.691557 0.04 0.965 -7.076772 7.397525 + 1705 | -1.010208 4.833753 -0.21 0.834 -10.48659 8.466169 + 1706 | 4.471923 3.471752 1.29 0.198 -2.334305 11.27815 + 1707 | 8.611313 3.56483 2.42 0.016 1.622608 15.60002 + 1708 | .7103049 3.400304 0.21 0.835 -5.955854 7.376463 + 1709 | 8.026625 3.834689 2.09 0.036 .5088742 15.54438 + 1798 | 9.939308 4.762361 2.09 0.037 .6028934 19.27572 + 1799 | 2.253452 5.968023 0.38 0.706 -9.446615 13.95352 + 1800 | -.224186 3.481357 -0.06 0.949 -7.049244 6.600872 + 1802 | 2.420944 3.178938 0.76 0.446 -3.811236 8.653124 + 1803 | 2.30964 3.637873 0.63 0.526 -4.822262 9.441543 + 1804 | -.9903578 3.351964 -0.30 0.768 -7.561746 5.581031 + 1806 | .9231413 3.526835 0.26 0.794 -5.991075 7.837358 + 1807 | -8.75301 2.861075 -3.06 0.002 -14.36203 -3.143989 + 1808 | 9.888904 8.391707 1.18 0.239 -6.562696 26.3405 + 1899 | 21.06784 13.95933 1.51 0.131 -6.298866 48.43455 + 1900 | -.7996348 3.586332 -0.22 0.824 -7.830493 6.231223 + 1901 | 8.890782 3.50296 2.54 0.011 2.02337 15.75819 + 1902 | 8.676821 4.45717 1.95 0.052 -.0612785 17.41492 + 1905 | 23.70931 6.069443 3.91 0.000 11.81042 35.60821 + 1906 | 4.452178 3.584444 1.24 0.214 -2.574978 11.47933 + 1907 | 1.880186 4.359852 0.43 0.666 -6.667127 10.4275 + 1908 | .8917869 5.314692 0.17 0.867 -9.527451 11.31102 + 1909 | .0653952 4.248935 0.02 0.988 -8.264469 8.395259 + 1910 | 6.071255 5.168997 1.17 0.240 -4.062353 16.20486 + 1911 | 13.3152 7.036533 1.89 0.059 -.4796351 27.11004 + 1912 | -.0829228 12.92102 -0.01 0.995 -25.41405 25.24821 + 1914 | 9.695832 4.178075 2.32 0.020 1.504885 17.88678 + 1915 | -8.43119 3.346747 -2.52 0.012 -14.99235 -1.870029 + 1919 | .2324137 3.958867 0.06 0.953 -7.528785 7.993612 + 1920 | 19.59768 5.616059 3.49 0.000 8.587623 30.60773 + 1925 | 15.62805 4.151782 3.76 0.000 7.488646 23.76745 + 1926 | 9.588353 3.868178 2.48 0.013 2.004949 17.17176 + 1927 | .4655805 3.484887 0.13 0.894 -6.366399 7.29756 + 1929 | 5.314773 4.098583 1.30 0.195 -2.720332 13.34988 + 1999 | 1.622726 8.58523 0.19 0.850 -15.20827 18.45372 + 2000 | -1.937839 3.316171 -0.58 0.559 -8.439057 4.563379 + 2001 | 3.650068 3.542971 1.03 0.303 -3.295783 10.59592 + 2002 | 3.779931 3.252807 1.16 0.245 -2.597065 10.15693 + 2003 | 19.06982 4.887258 3.90 0.000 9.488552 28.65109 + 2004 | 7.208579 3.221529 2.24 0.025 .8929013 13.52426 + 2005 | 1.274317 5.086433 0.25 0.802 -8.697428 11.24606 + 2006 | 79.13436 6.344891 12.47 0.000 66.69546 91.57326 + 2007 | 2.038374 3.660328 0.56 0.578 -5.137549 9.214297 + 2008 | 4.226816 2.935518 1.44 0.150 -1.528147 9.981779 + 2009 | 6.317514 5.642092 1.12 0.263 -4.743578 17.37861 + 2010 | -12.43355 3.048501 -4.08 0.000 -18.41001 -6.457084 + 2011 | 1.600405 3.091477 0.52 0.605 -4.460311 7.661121 + 2012 | 1.57837 3.196424 0.49 0.621 -4.68809 7.84483 + 2013 | 2.217102 3.585214 0.62 0.536 -4.811565 9.245769 + 2014 | 1.486793 4.043666 0.37 0.713 -6.44065 9.414236 + 2015 | -.1386968 3.672315 -0.04 0.970 -7.338121 7.060727 + 2030 | 20.24904 6.982444 2.90 0.004 6.560244 33.93784 + 2099 | 16.31423 6.478136 2.52 0.012 3.614105 29.01435 + 2100 | -.2542841 3.730567 -0.07 0.946 -7.567908 7.05934 + 2101 | 3.788608 2.97459 1.27 0.203 -2.042955 9.62017 + 2102 | -.8336487 3.007019 -0.28 0.782 -6.728787 5.061489 + 2103 | 1.261203 2.931496 0.43 0.667 -4.485876 7.008282 + 2104 | -3.2284 2.889363 -1.12 0.264 -8.892879 2.436079 + 2105 | 10.23966 6.168051 1.66 0.097 -1.852548 22.33188 + 2199 | -4.667804 3.75317 -1.24 0.214 -12.02574 2.690132 + 9999 | 29.29251 9.267675 3.16 0.002 11.12361 47.46141 + | + house_administration | 2.872957 1.486878 1.93 0.053 -.0420066 5.787922 + house_agriculture | 2.678677 .868213 3.09 0.002 .9765808 4.380774 + house_appropriations | 1.654824 3.057745 0.54 0.588 -4.33976 7.649408 + house_armedservices | 4.2887 1.144771 3.75 0.000 2.044423 6.532976 + house_budget | 3.981824 2.22745 1.79 0.074 -.3850002 8.348649 + house_dc | -5.52492 2.852287 -1.94 0.053 -11.11671 .0668719 + house_educlabor | 3.927465 .7589451 5.17 0.000 2.439584 5.415347 + house_energycommerce | 4.802262 .5653695 8.49 0.000 3.693878 5.910646 + house_foreignaffairs | 4.290964 1.182981 3.63 0.000 1.971778 6.610151 + house_governmentop | 5.01753 1.787222 2.81 0.005 1.513754 8.521306 + house_intelligence | 6.92682 4.513118 1.53 0.125 -1.920964 15.7746 + house_interior | -.6777811 1.097918 -0.62 0.537 -2.830204 1.474642 + house_judiciary | 3.255755 .6063951 5.37 0.000 2.066942 4.444568 + house_mmf | 1.200268 1.297352 0.93 0.355 -1.343138 3.743674 + house_pocs | 3.937942 1.786576 2.20 0.028 .4354325 7.440452 + house_pwt | 2.717841 1.05622 2.57 0.010 .6471647 4.788517 + house_rules | 3.894043 1.385923 2.81 0.005 1.176998 6.611088 + house_sst | 4.819373 1.958685 2.46 0.014 .9794511 8.659295 + house_smallbusi | -3.922343 1.123979 -3.49 0.000 -6.125859 -1.718827 + house_soc | -1.249077 7.151833 -0.17 0.861 -15.26996 12.7718 + house_veterans | 1.436562 1.240833 1.16 0.247 -.99604 3.869163 + house_waysandmeans | 2.920773 .5445441 5.36 0.000 1.853216 3.988329 +house_naturalresources | -.5923108 .9044015 -0.65 0.513 -2.365353 1.180732 + house_bfs | 1.144453 .8303446 1.38 0.168 -.4834044 2.772309 + house_eeo | .7765747 1.998006 0.39 0.698 -3.140434 4.693584 + house_govreform | 3.837128 .9524644 4.03 0.000 1.96986 5.704395 + house_ir | 3.878962 1.235714 3.14 0.002 1.456395 6.30153 + house_natsecur | 8.561122 2.704622 3.17 0.002 3.25882 13.86342 + house_oversight | .9826295 1.273305 0.77 0.440 -1.513632 3.478891 + house_resources | -1.462413 .7966732 -1.84 0.066 -3.024258 .0994325 + house_science | -.7409634 1.12199 -0.66 0.509 -2.940579 1.458652 + house_transp | 1.23557 .7460334 1.66 0.098 -.2269982 2.698138 + house_homeland | -1.077011 1.216175 -0.89 0.376 -3.461273 1.307252 + NE | -3.211846 .6439331 -4.99 0.000 -4.474251 -1.949441 + MW | -.3505796 .5816192 -0.60 0.547 -1.49082 .7896613 + WE | -.4928328 .6571291 -0.75 0.453 -1.781108 .795442 + pct_black | 1.512909 1.768254 0.86 0.392 -1.953682 4.9795 + pct_urban | .4296899 1.455248 0.30 0.768 -2.423265 3.282645 + pct_for_born | 2.724244 3.342487 0.82 0.415 -3.828566 9.277054 + pct_age_over65 | 19.16241 5.833418 3.28 0.001 7.726229 30.59859 + lninc | 4.73325 1.229014 3.85 0.000 2.323817 7.142683 + lnpden | .0879037 .1897536 0.46 0.643 -.2841005 .4599079 + _cons | -42.94829 12.37028 -3.47 0.001 -67.19973 -18.69685 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,791 1 0 1 1 +reg numb_cosponsors sponsor_female i.v2 i.minor house_* NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if sponsor_party==100 & tag_bill==1, ro +> bust cluster(group_sponsor) + +Linear regression Number of obs = 33,043 + F(277, 2504) = . + Prob > F = . + R-squared = 0.0855 + Root MSE = 34.399 + + (Std. Err. adjusted for 2,505 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | .0573199 .7887686 0.07 0.942 -1.489386 1.604026 + | + v2 | + 102 | -1.410868 1.119862 -1.26 0.208 -3.606818 .7850822 + 103 | -4.898853 1.54268 -3.18 0.002 -7.923912 -1.873794 + 104 | -7.720453 1.694401 -4.56 0.000 -11.04302 -4.397883 + 105 | -2.322966 1.752037 -1.33 0.185 -5.758556 1.112623 + 106 | -1.001929 1.885259 -0.53 0.595 -4.698755 2.694898 + 107 | -1.019552 1.816356 -0.56 0.575 -4.581266 2.542162 + 108 | -3.493467 4.530379 -0.77 0.441 -12.37714 5.390206 + 109 | -5.725583 4.481479 -1.28 0.202 -14.51337 3.062202 + 110 | -1.22177 4.375499 -0.28 0.780 -9.801739 7.358199 + 111 | -4.201737 4.418136 -0.95 0.342 -12.86531 4.461838 + | + minor | + 101 | -5.41601 5.063709 -1.07 0.285 -15.3455 4.513478 + 103 | -11.19522 5.251408 -2.13 0.033 -21.49277 -.8976706 + 104 | -2.336931 5.264478 -0.44 0.657 -12.66011 7.986247 + 105 | 1.109497 5.228278 0.21 0.832 -9.142696 11.36169 + 107 | 1.486199 4.827466 0.31 0.758 -7.980037 10.95243 + 108 | 7.213721 7.424479 0.97 0.331 -7.345027 21.77247 + 110 | -1.31782 8.058729 -0.16 0.870 -17.12028 14.48464 + 200 | 12.81972 5.8675 2.18 0.029 1.314073 24.32537 + 201 | 5.874762 6.769225 0.87 0.386 -7.399091 19.14862 + 202 | 31.05927 7.738045 4.01 0.000 15.88564 46.23289 + 204 | 18.30278 11.43679 1.60 0.110 -4.123751 40.72932 + 205 | 77.77303 26.38726 2.95 0.003 26.02994 129.5161 + 206 | 3.704262 5.893008 0.63 0.530 -7.851408 15.25993 + 207 | 24.67615 7.156943 3.45 0.001 10.64202 38.71028 + 208 | 1.163792 5.092095 0.23 0.819 -8.821357 11.14894 + 209 | 20.41803 12.99557 1.57 0.116 -5.065147 45.9012 + 299 | 11.50047 11.7829 0.98 0.329 -11.60476 34.60571 + 300 | 7.277633 5.929923 1.23 0.220 -4.350423 18.90569 + 301 | 4.499857 5.070551 0.89 0.375 -5.443046 14.44276 + 302 | 8.653725 5.060142 1.71 0.087 -1.268768 18.57622 + 321 | 2.178987 5.101156 0.43 0.669 -7.82393 12.1819 + 322 | -2.150162 4.885069 -0.44 0.660 -11.72935 7.429028 + 323 | 14.80721 5.745133 2.58 0.010 3.541509 26.07291 + 324 | -3.450524 5.081968 -0.68 0.497 -13.41582 6.514767 + 325 | 5.722639 5.142304 1.11 0.266 -4.360965 15.80624 + 331 | 20.44085 5.604726 3.65 0.000 9.450475 31.43122 + 332 | 12.47039 5.12303 2.43 0.015 2.424584 22.51621 + 333 | 17.81979 6.272071 2.84 0.005 5.520811 30.11877 + 334 | 11.01904 5.171463 2.13 0.033 .8782608 21.15983 + 335 | 7.150655 5.452772 1.31 0.190 -3.541751 17.84306 + 336 | 16.94077 6.031499 2.81 0.005 5.113528 28.768 + 341 | 7.151836 5.527068 1.29 0.196 -3.686258 17.98993 + 342 | 6.999599 8.694323 0.81 0.421 -10.0492 24.0484 + 343 | 4.572049 5.942931 0.77 0.442 -7.081515 16.22561 + 344 | .0884735 6.295615 0.01 0.989 -12.25667 12.43362 + 398 | 23.90716 5.701705 4.19 0.000 12.72662 35.0877 + 399 | 9.28354 7.625917 1.22 0.224 -5.670211 24.23729 + 400 | 3.29327 6.083884 0.54 0.588 -8.636691 15.22323 + 401 | .599565 5.454273 0.11 0.912 -10.09578 11.29491 + 402 | -.7582574 4.872206 -0.16 0.876 -10.31222 8.795709 + 403 | 1.300431 4.986427 0.26 0.794 -8.477512 11.07837 + 404 | -.197292 5.42364 -0.04 0.971 -10.83257 10.43799 + 405 | 32.71966 10.02498 3.26 0.001 13.06157 52.37775 + 498 | 19.7044 13.03187 1.51 0.131 -5.849948 45.25875 + 499 | 3.176514 9.183252 0.35 0.729 -14.83103 21.18406 + 500 | 2.099585 7.091516 0.30 0.767 -11.80625 16.00542 + 501 | 2.098438 5.301132 0.40 0.692 -8.296615 12.49349 + 502 | 7.004879 5.684429 1.23 0.218 -4.141785 18.15154 + 503 | 5.874865 4.693577 1.25 0.211 -3.328826 15.07856 + 504 | 27.07694 7.882753 3.43 0.001 11.61955 42.53432 + 505 | 13.91697 6.495678 2.14 0.032 1.179517 26.65442 + 506 | 14.86299 6.387651 2.33 0.020 2.337365 27.38861 + 508 | 5.107025 5.392435 0.95 0.344 -5.467066 15.68112 + 529 | 5.578076 7.831362 0.71 0.476 -9.778533 20.93469 + 530 | 3.3447 4.838447 0.69 0.489 -6.143067 12.83247 + 599 | 3.556584 7.173379 0.50 0.620 -10.50978 17.62295 + 600 | 3.604754 5.232111 0.69 0.491 -6.654955 13.86446 + 601 | 5.367961 4.780541 1.12 0.262 -4.00626 14.74218 + 602 | 7.966324 4.869517 1.64 0.102 -1.58237 17.51502 + 603 | 4.668126 5.289052 0.88 0.378 -5.703239 15.03949 + 604 | -.3513055 6.891618 -0.05 0.959 -13.86516 13.16255 + 606 | 9.508144 7.436818 1.28 0.201 -5.074799 24.09109 + 607 | 3.31156 4.968499 0.67 0.505 -6.431229 13.05435 + 609 | 2.993 7.182852 0.42 0.677 -11.09194 17.07794 + 698 | -9.536641 4.975138 -1.92 0.055 -19.29245 .219166 + 699 | 5.836236 6.281015 0.93 0.353 -6.480281 18.15275 + 700 | 4.345323 5.125559 0.85 0.397 -5.705446 14.39609 + 701 | 5.261483 5.406655 0.97 0.331 -5.34049 15.86346 + 703 | .1749264 4.9652 0.04 0.972 -9.561394 9.911246 + 704 | 3.786162 5.225271 0.72 0.469 -6.460133 14.03246 + 705 | 8.309887 5.675178 1.46 0.143 -2.818637 19.43841 + 707 | 18.34806 6.64433 2.76 0.006 5.319116 31.37701 + 708 | 2.564906 5.448452 0.47 0.638 -8.119027 13.24884 + 709 | 16.75022 5.106055 3.28 0.001 6.737696 26.76274 + 710 | 5.387478 5.123093 1.05 0.293 -4.658456 15.43341 + 711 | 10.9452 6.411755 1.71 0.088 -1.627685 23.51809 + 798 | 1.917196 5.692784 0.34 0.736 -9.245852 13.08024 + 799 | -.4194722 7.501375 -0.06 0.955 -15.12901 14.29006 + 800 | -1.750481 5.041938 -0.35 0.728 -11.63728 8.136316 + 801 | -1.18855 5.499903 -0.22 0.829 -11.97337 9.596275 + 802 | -1.410527 5.065697 -0.28 0.781 -11.34391 8.522858 + 803 | -1.089199 4.7999 -0.23 0.821 -10.50138 8.322981 + 805 | .7568972 5.248699 0.14 0.885 -9.535339 11.04913 + 806 | .2659703 4.880098 0.05 0.957 -9.303472 9.835412 + 807 | 1.696792 5.15713 0.33 0.742 -8.415884 11.80947 + 898 | 8.949176 7.281 1.23 0.219 -5.328222 23.22657 + 899 | -.6870368 7.63378 -0.09 0.928 -15.65621 14.28213 + 1000 | -1.298344 5.323573 -0.24 0.807 -11.7374 9.140714 + 1001 | -2.461099 5.030945 -0.49 0.625 -12.32634 7.40414 + 1002 | -.2315533 5.156468 -0.04 0.964 -10.34293 9.879826 + 1003 | 2.71415 4.99614 0.54 0.587 -7.08284 12.51114 + 1005 | 7.912419 6.572866 1.20 0.229 -4.976391 20.80123 + 1006 | 2.636488 5.476166 0.48 0.630 -8.101792 13.37477 + 1007 | 1.124192 5.088693 0.22 0.825 -8.854286 11.10267 + 1010 | .2200062 5.547779 0.04 0.968 -10.6587 11.09871 + 1098 | -8.229562 5.423031 -1.52 0.129 -18.86365 2.404524 + 1099 | 3.224245 8.513716 0.38 0.705 -13.4704 19.91889 + 1200 | 9.414349 7.928494 1.19 0.235 -6.132729 24.96143 + 1201 | 3.210822 5.572062 0.58 0.565 -7.7155 14.13714 + 1202 | -.1174394 5.892684 -0.02 0.984 -11.67247 11.43759 + 1203 | -1.157701 5.006552 -0.23 0.817 -10.97511 8.659706 + 1204 | -.7357433 5.072989 -0.15 0.885 -10.68343 9.21194 + 1205 | -.4379582 5.267843 -0.08 0.934 -10.76773 9.891818 + 1206 | 1.230775 5.974461 0.21 0.837 -10.48462 12.94617 + 1207 | 2.6156 5.458912 0.48 0.632 -8.088845 13.32004 + 1208 | 6.522806 4.971341 1.31 0.190 -3.225554 16.27117 + 1209 | 5.125019 4.928413 1.04 0.298 -4.539165 14.7892 + 1210 | 2.370726 5.266376 0.45 0.653 -7.956174 12.69763 + 1211 | 5.514102 6.184549 0.89 0.373 -6.613254 17.64146 + 1299 | 13.97078 11.99597 1.16 0.244 -9.552262 37.49383 + 1300 | 12.43349 6.982711 1.78 0.075 -1.258989 26.12597 + 1301 | 8.83362 5.343984 1.65 0.098 -1.645462 19.3127 + 1302 | -3.556618 4.878011 -0.73 0.466 -13.12197 6.008732 + 1303 | 6.318915 5.289925 1.19 0.232 -4.054162 16.69199 + 1304 | 9.016502 5.513236 1.64 0.102 -1.794467 19.82747 + 1305 | 4.745816 5.822764 0.82 0.415 -6.67211 16.16374 + 1399 | 18.67325 20.94977 0.89 0.373 -22.4074 59.7539 + 1400 | 2.20571 5.304692 0.42 0.678 -8.196322 12.60774 + 1401 | 4.545637 5.104849 0.89 0.373 -5.464522 14.5558 + 1403 | 7.397299 6.147476 1.20 0.229 -4.65736 19.45196 + 1404 | 4.677214 9.282494 0.50 0.614 -13.52494 22.87937 + 1405 | -.880794 5.158048 -0.17 0.864 -10.99527 9.233683 + 1406 | 5.436405 5.484807 0.99 0.322 -5.318819 16.19163 + 1407 | 2.913552 5.35139 0.54 0.586 -7.580052 13.40716 + 1408 | -2.095066 5.336275 -0.39 0.695 -12.55903 8.368898 + 1409 | 18.09464 7.248964 2.50 0.013 3.88006 32.30922 + 1410 | -.147819 5.071247 -0.03 0.977 -10.09209 9.79645 + 1499 | -4.969561 5.51287 -0.90 0.367 -15.77981 5.840691 + 1500 | 3.494037 7.696258 0.45 0.650 -11.59765 18.58572 + 1501 | 1.349901 4.913119 0.27 0.784 -8.284293 10.98409 + 1502 | 3.903292 5.169798 0.76 0.450 -6.234227 14.04081 + 1504 | 7.334599 5.566769 1.32 0.188 -3.581343 18.25054 + 1505 | -.7749189 5.028308 -0.15 0.878 -10.63499 9.08515 + 1507 | -3.938416 5.421332 -0.73 0.468 -14.56917 6.692338 + 1520 | .0980318 5.140108 0.02 0.985 -9.981267 10.17733 + 1521 | 1.68048 4.795763 0.35 0.726 -7.723588 11.08455 + 1522 | -1.704807 5.037323 -0.34 0.735 -11.58255 8.172939 + 1523 | .6249012 4.802714 0.13 0.896 -8.792797 10.0426 + 1524 | 15.27122 12.88522 1.19 0.236 -9.995565 40.538 + 1525 | 6.043167 4.983789 1.21 0.225 -3.729603 15.81594 + 1526 | -1.964174 5.184257 -0.38 0.705 -12.13005 8.201697 + 1599 | 8.588285 6.691146 1.28 0.199 -4.532463 21.70903 + 1600 | -3.706221 4.965595 -0.75 0.456 -13.44332 6.030872 + 1602 | 11.11147 9.665392 1.15 0.250 -7.841508 30.06446 + 1603 | -12.15654 7.347027 -1.65 0.098 -26.56341 2.250334 + 1604 | -10.13162 4.943176 -2.05 0.041 -19.82475 -.4384829 + 1605 | 3.163086 5.999488 0.53 0.598 -8.601381 14.92755 + 1606 | 4.763019 7.026026 0.68 0.498 -9.014399 18.54044 + 1608 | 4.151923 4.890462 0.85 0.396 -5.437842 13.74169 + 1609 | 8.498439 5.206603 1.63 0.103 -1.71125 18.70813 + 1610 | 1.670031 5.913188 0.28 0.778 -9.925209 13.26527 + 1611 | -8.098707 4.848921 -1.67 0.095 -17.60701 1.409599 + 1612 | 3.646578 5.278467 0.69 0.490 -6.704031 13.99719 + 1614 | -.6263381 5.631686 -0.11 0.911 -11.66958 10.4169 + 1615 | .6656657 5.291878 0.13 0.900 -9.711241 11.04257 + 1616 | -5.434888 4.977589 -1.09 0.275 -15.1955 4.325724 + 1617 | -6.827066 5.179181 -1.32 0.188 -16.98298 3.328853 + 1619 | -.9352022 6.127679 -0.15 0.879 -12.95104 11.08064 + 1620 | -1.521361 6.295021 -0.24 0.809 -13.86534 10.82262 + 1698 | -8.276142 5.169208 -1.60 0.109 -18.4125 1.860218 + 1699 | 27.17281 7.837699 3.47 0.001 11.80378 42.54185 + 1700 | 5.774665 6.232748 0.93 0.354 -6.447203 17.99653 + 1701 | -.5924424 5.191487 -0.11 0.909 -10.77249 9.587606 + 1704 | -.6781465 7.218733 -0.09 0.925 -14.83345 13.47715 + 1705 | 2.996462 7.338157 0.41 0.683 -11.39302 17.38594 + 1706 | .7032161 5.173927 0.14 0.892 -9.442399 10.84883 + 1707 | 3.857395 5.086155 0.76 0.448 -6.116107 13.8309 + 1708 | 2.457038 5.738546 0.43 0.669 -8.795744 13.70982 + 1709 | .4914322 5.221372 0.09 0.925 -9.747218 10.73008 + 1798 | 10.81316 7.511586 1.44 0.150 -3.916397 25.54272 + 1799 | 5.488533 9.394966 0.58 0.559 -12.93417 23.91123 + 1800 | .9056928 5.608232 0.16 0.872 -10.09156 11.90294 + 1802 | 3.186661 5.214183 0.61 0.541 -7.037892 13.41121 + 1803 | 1.106746 5.35259 0.21 0.836 -9.38921 11.6027 + 1804 | -2.665878 5.263627 -0.51 0.613 -12.98739 7.655629 + 1806 | 2.291008 5.710814 0.40 0.688 -8.907395 13.48941 + 1807 | -8.557597 4.7355 -1.81 0.071 -17.84349 .7283007 + 1808 | 14.78593 13.7243 1.08 0.281 -12.12621 41.69807 + 1899 | 33.80625 21.72865 1.56 0.120 -8.801713 76.41421 + 1900 | .7322333 5.48776 0.13 0.894 -10.02878 11.49325 + 1901 | 13.26359 5.613676 2.36 0.018 2.255669 24.27152 + 1902 | 6.180861 6.324702 0.98 0.329 -6.221322 18.58304 + 1905 | 24.94756 7.970225 3.13 0.002 9.318656 40.57647 + 1906 | 5.491727 5.569377 0.99 0.324 -5.429331 16.41278 + 1907 | 6.079075 8.718326 0.70 0.486 -11.01679 23.17494 + 1908 | .4919861 7.345431 0.07 0.947 -13.91176 14.89573 + 1909 | -1.391258 6.707278 -0.21 0.836 -14.54364 11.76112 + 1910 | -2.147766 6.02 -0.36 0.721 -13.95245 9.656922 + 1911 | 16.97882 9.809869 1.73 0.084 -2.257466 36.21511 + 1912 | -.4544302 16.92072 -0.03 0.979 -33.63447 32.72561 + 1914 | 10.3459 6.282722 1.65 0.100 -1.973963 22.66576 + 1915 | -6.538718 5.085169 -1.29 0.199 -16.51029 3.43285 + 1919 | 2.949373 8.364587 0.35 0.724 -13.45285 19.35159 + 1920 | 13.25026 7.485348 1.77 0.077 -1.427845 27.92837 + 1925 | 15.29942 6.332972 2.42 0.016 2.881017 27.71781 + 1926 | 16.46293 7.247659 2.27 0.023 2.250908 30.67495 + 1927 | -.4113999 5.694781 -0.07 0.942 -11.57836 10.75556 + 1929 | .3774198 6.009822 0.06 0.950 -11.40731 12.16215 + 1999 | 4.782612 15.6383 0.31 0.760 -25.88272 35.44795 + 2000 | -1.134566 5.077582 -0.22 0.823 -11.09126 8.822124 + 2001 | 3.633073 5.890528 0.62 0.537 -7.917733 15.18388 + 2002 | 1.406286 5.311098 0.26 0.791 -9.008308 11.82088 + 2003 | 22.24254 7.613747 2.92 0.004 7.312658 37.17243 + 2004 | 9.632687 5.190215 1.86 0.064 -.5448672 19.81024 + 2005 | -5.054506 5.525378 -0.91 0.360 -15.88929 5.780273 + 2006 | 78.52362 9.219306 8.52 0.000 60.44538 96.60187 + 2007 | -1.220309 5.378559 -0.23 0.821 -11.76719 9.32657 + 2008 | 2.910674 4.759048 0.61 0.541 -6.4214 12.24275 + 2009 | 8.681276 9.658776 0.90 0.369 -10.25873 27.62128 + 2010 | -15.41769 4.883099 -3.16 0.002 -24.99302 -5.842364 + 2011 | -1.978674 5.100918 -0.39 0.698 -11.98113 8.023777 + 2012 | 1.226336 5.175629 0.24 0.813 -8.922616 11.37529 + 2013 | 4.275258 5.304643 0.81 0.420 -6.12668 14.6772 + 2014 | 5.345289 7.210515 0.74 0.459 -8.793895 19.48447 + 2015 | .0696993 5.499803 0.01 0.990 -10.71493 10.85433 + 2030 | 19.7795 8.871936 2.23 0.026 2.382418 37.17658 + 2099 | 20.20961 9.441797 2.14 0.032 1.695078 38.72414 + 2100 | -1.57758 5.608332 -0.28 0.779 -12.57502 9.419865 + 2101 | 2.570874 4.864711 0.53 0.597 -6.968395 12.11014 + 2102 | -.4404853 5.025914 -0.09 0.930 -10.29586 9.414889 + 2103 | 3.818413 4.863271 0.79 0.432 -5.718034 13.35486 + 2104 | -4.110544 4.773084 -0.86 0.389 -13.47014 5.249053 + 2105 | 11.02206 9.69612 1.14 0.256 -7.991175 30.0353 + 2199 | -7.975971 4.847539 -1.65 0.100 -17.48157 1.529625 + 9999 | 27.96931 12.11937 2.31 0.021 4.204306 51.73432 + | + house_administration | 5.170576 2.334876 2.21 0.027 .5920891 9.749062 + house_agriculture | 1.564136 1.120685 1.40 0.163 -.6334279 3.7617 + house_appropriations | -3.643422 1.737747 -2.10 0.036 -7.050991 -.2358524 + house_armedservices | 4.026564 1.479025 2.72 0.007 1.126326 6.926801 + house_budget | 1.250253 2.293317 0.55 0.586 -3.24674 5.747246 + house_dc | -12.33221 4.894979 -2.52 0.012 -21.93084 -2.73359 + house_educlabor | 5.336648 .961712 5.55 0.000 3.450815 7.22248 + house_energycommerce | 4.02174 .7232081 5.56 0.000 2.603592 5.439887 + house_foreignaffairs | 4.882383 1.612498 3.03 0.002 1.720416 8.044349 + house_governmentop | 2.941476 1.98717 1.48 0.139 -.9551888 6.83814 + house_intelligence | 8.740461 6.485079 1.35 0.178 -3.976207 21.45713 + house_interior | -1.950953 1.572017 -1.24 0.215 -5.033539 1.131634 + house_judiciary | 2.802732 .8146313 3.44 0.001 1.205312 4.400153 + house_mmf | .1172545 1.768621 0.07 0.947 -3.350856 3.585365 + house_pocs | 3.69127 2.378103 1.55 0.121 -.9719794 8.35452 + house_pwt | 2.243322 1.392184 1.61 0.107 -.4866271 4.973271 + house_rules | 4.097986 1.966534 2.08 0.037 .2417871 7.954185 + house_sst | 4.411191 2.149525 2.05 0.040 .1961615 8.62622 + house_smallbusi | -3.047724 1.399665 -2.18 0.030 -5.792344 -.3031041 + house_soc | 5.505095 11.18901 0.49 0.623 -16.43557 27.44576 + house_veterans | 1.431224 1.690537 0.85 0.397 -1.883771 4.746218 + house_waysandmeans | 2.256773 .7100297 3.18 0.001 .8644672 3.649079 +house_naturalresources | -2.060518 1.333878 -1.54 0.123 -4.676135 .5550994 + house_bfs | 1.543945 1.102106 1.40 0.161 -.6171877 3.705078 + house_eeo | -1.521834 1.84265 -0.83 0.409 -5.135107 2.09144 + house_govreform | 6.654417 1.460397 4.56 0.000 3.790707 9.518128 + house_ir | 3.889878 1.716343 2.27 0.024 .5242802 7.255475 + house_natsecur | 9.453087 3.482686 2.71 0.007 2.623847 16.28233 + house_oversight | -3.228435 1.816658 -1.78 0.076 -6.79074 .3338705 + house_resources | 1.152216 1.392273 0.83 0.408 -1.577909 3.88234 + house_science | -1.65647 1.426294 -1.16 0.246 -4.453308 1.140368 + house_transp | .0800405 .9752073 0.08 0.935 -1.832255 1.992336 + house_homeland | -1.135997 1.639065 -0.69 0.488 -4.350059 2.078064 + NE | -3.360327 .9558603 -3.52 0.000 -5.234685 -1.48597 + MW | -.0385604 .8366426 -0.05 0.963 -1.679143 1.602022 + WE | .2243543 .9296363 0.24 0.809 -1.59858 2.047289 + pct_black | 2.999783 2.030586 1.48 0.140 -.9820173 6.981583 + pct_urban | 2.250023 1.936882 1.16 0.245 -1.548031 6.048077 + pct_for_born | 3.914201 4.260519 0.92 0.358 -4.440301 12.2687 + pct_age_over65 | 24.9851 9.255005 2.70 0.007 6.836853 43.13335 + lninc | 3.95128 1.593303 2.48 0.013 .8269539 7.075606 + lnpden | -.2226729 .2775256 -0.80 0.422 -.7668761 .3215303 + _cons | -33.40908 16.0964 -2.08 0.038 -64.97269 -1.845465 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,505 1 0 1 1 +reg numb_cosponsors sponsor_female i.v2 i.minor house_* NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if sponsor_party==200 & tag_bill==1, ro +> bust cluster(group_sponsor) + +Linear regression Number of obs = 28,118 + F(276, 2272) = . + Prob > F = . + R-squared = 0.0980 + Root MSE = 34.39 + + (Std. Err. adjusted for 2,273 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 2.418941 .9484703 2.55 0.011 .558983 4.2789 + | + v2 | + 102 | -.5976795 1.396719 -0.43 0.669 -3.336658 2.141299 + 103 | -2.23359 1.852125 -1.21 0.228 -5.865623 1.398444 + 104 | -.2764821 1.894424 -0.15 0.884 -3.991465 3.438501 + 105 | 1.427536 1.879511 0.76 0.448 -2.2582 5.113273 + 106 | 2.143077 1.947207 1.10 0.271 -1.675414 5.961568 + 107 | 2.292468 1.889509 1.21 0.225 -1.412876 5.997812 + 108 | 4.755011 4.233823 1.12 0.262 -3.547553 13.05758 + 109 | 4.448787 4.165583 1.07 0.286 -3.719957 12.61753 + 110 | -.2773199 4.193302 -0.07 0.947 -8.500422 7.945782 + 111 | -1.373626 4.285345 -0.32 0.749 -9.777225 7.029972 + | + minor | + 101 | -5.302744 4.314775 -1.23 0.219 -13.76405 3.158566 + 103 | 6.167562 11.39614 0.54 0.588 -16.18037 28.51549 + 104 | 2.855315 4.709311 0.61 0.544 -6.379685 12.09032 + 105 | 10.15615 6.38643 1.59 0.112 -2.367694 22.67999 + 107 | 10.25839 3.586942 2.86 0.004 3.224364 17.29241 + 108 | .3205308 4.625582 0.07 0.945 -8.750275 9.391337 + 110 | 12.26369 16.79244 0.73 0.465 -20.66642 45.19381 + 200 | 7.383877 4.800216 1.54 0.124 -2.029388 16.79714 + 201 | 1.727181 7.078259 0.24 0.807 -12.15335 15.60771 + 202 | 37.29593 13.3195 2.80 0.005 11.17627 63.41558 + 204 | 5.574773 4.81739 1.16 0.247 -3.872171 15.02172 + 205 | 41.50551 21.28645 1.95 0.051 -.2373962 83.24842 + 206 | 19.60933 7.233199 2.71 0.007 5.424969 33.7937 + 207 | 24.11606 5.546007 4.35 0.000 13.24029 34.99182 + 208 | 6.15868 4.209699 1.46 0.144 -2.096577 14.41394 + 209 | -11.21516 3.636046 -3.08 0.002 -18.34548 -4.084847 + 299 | 71.18081 17.45266 4.08 0.000 36.95599 105.4056 + 300 | 7.345626 5.661394 1.30 0.195 -3.756418 18.44767 + 301 | 8.770133 4.54685 1.93 0.054 -.1462786 17.68654 + 302 | 11.70497 3.943393 2.97 0.003 3.971941 19.438 + 321 | 13.20247 4.87044 2.71 0.007 3.651494 22.75344 + 322 | 4.984938 4.146445 1.20 0.229 -3.146276 13.11615 + 323 | 12.86866 5.395545 2.39 0.017 2.287954 23.44938 + 324 | 3.024063 4.983551 0.61 0.544 -6.748723 12.79685 + 325 | 7.161739 4.355975 1.64 0.100 -1.380366 15.70384 + 331 | 24.3497 5.660897 4.30 0.000 13.24863 35.45077 + 332 | 12.27908 4.42254 2.78 0.006 3.606439 20.95172 + 333 | 8.772046 7.263186 1.21 0.227 -5.471125 23.01522 + 334 | 15.15887 4.785253 3.17 0.002 5.774947 24.54279 + 335 | 11.62345 5.74428 2.02 0.043 .3588672 22.88803 + 336 | 23.86216 6.801344 3.51 0.000 10.52467 37.19965 + 341 | 13.05603 6.217825 2.10 0.036 .8628209 25.24924 + 342 | 12.46251 8.867522 1.41 0.160 -4.926779 29.8518 + 343 | -.2794101 4.697662 -0.06 0.953 -9.491566 8.932746 + 344 | 38.89859 11.4593 3.39 0.001 16.42681 61.37038 + 398 | 21.12542 4.947772 4.27 0.000 11.42279 30.82804 + 399 | 8.490251 9.446984 0.90 0.369 -10.03537 27.01587 + 400 | 1.037284 4.932105 0.21 0.833 -8.634616 10.70919 + 401 | 1.916492 4.052154 0.47 0.636 -6.029818 9.862801 + 402 | 4.336067 3.912252 1.11 0.268 -3.335893 12.00803 + 403 | 15.8436 7.677641 2.06 0.039 .787681 30.89952 + 404 | 11.00134 7.0853 1.55 0.121 -2.892996 24.89567 + 405 | 16.21821 9.534949 1.70 0.089 -2.479911 34.91632 + 498 | 7.190611 8.121266 0.89 0.376 -8.735262 23.11648 + 499 | 17.58736 11.32694 1.55 0.121 -4.624862 39.79959 + 500 | 3.939544 5.67166 0.69 0.487 -7.18263 15.06172 + 501 | 11.64265 5.053361 2.30 0.021 1.732963 21.55233 + 502 | 3.166351 4.070569 0.78 0.437 -4.816069 11.14877 + 503 | 7.980764 4.043665 1.97 0.049 .0511027 15.91042 + 504 | 21.76777 5.584326 3.90 0.000 10.81685 32.71868 + 505 | 7.878547 4.060393 1.94 0.052 -.08392 15.84101 + 506 | 9.354919 6.726543 1.39 0.164 -3.835891 22.54573 + 508 | -1.605444 4.020854 -0.40 0.690 -9.490374 6.279486 + 529 | 16.59964 7.727457 2.15 0.032 1.446035 31.75325 + 530 | 5.695617 3.742262 1.52 0.128 -1.642991 13.03423 + 599 | 15.72145 9.066454 1.73 0.083 -2.057941 33.50085 + 600 | 11.74875 5.270178 2.23 0.026 1.413882 22.08361 + 601 | 7.770222 3.734128 2.08 0.038 .4475649 15.09288 + 602 | 8.917353 3.958431 2.25 0.024 1.154837 16.67987 + 603 | 9.24314 5.401712 1.71 0.087 -1.349664 19.83594 + 604 | .9326129 4.03518 0.23 0.817 -6.98041 8.845636 + 606 | 12.0255 5.472215 2.20 0.028 1.294437 22.75656 + 607 | 16.44901 5.443959 3.02 0.003 5.77336 27.12466 + 609 | 8.810986 5.456917 1.61 0.107 -1.890077 19.51205 + 698 | 1.425485 6.143428 0.23 0.817 -10.62183 13.4728 + 699 | 2.82638 5.942911 0.48 0.634 -8.82772 14.48048 + 700 | .1987836 4.055628 0.05 0.961 -7.754338 8.151905 + 701 | 1.753794 4.264673 0.41 0.681 -6.609267 10.11686 + 703 | .5925986 3.960172 0.15 0.881 -7.173333 8.35853 + 704 | 2.06917 4.19774 0.49 0.622 -6.162634 10.30097 + 705 | 1.783495 4.069252 0.44 0.661 -6.196343 9.763334 + 707 | 11.09785 7.513264 1.48 0.140 -3.635731 25.83142 + 708 | 12.54351 10.80696 1.16 0.246 -8.649029 33.73605 + 709 | 7.004618 3.781231 1.85 0.064 -.4104095 14.41965 + 710 | 1.588621 3.778925 0.42 0.674 -5.821883 8.999124 + 711 | 2.099567 3.830233 0.55 0.584 -5.411554 9.610687 + 798 | 5.880117 6.68024 0.88 0.379 -7.219891 18.98013 + 799 | 2.336527 4.329694 0.54 0.589 -6.15404 10.8271 + 800 | -4.778678 3.861693 -1.24 0.216 -12.35149 2.794137 + 801 | -4.98167 4.727118 -1.05 0.292 -14.25159 4.28825 + 802 | -4.457499 3.817055 -1.17 0.243 -11.94278 3.02778 + 803 | 4.86494 3.837296 1.27 0.205 -2.660032 12.38991 + 805 | -3.098164 3.912946 -0.79 0.429 -10.77149 4.575158 + 806 | 5.335871 4.181269 1.28 0.202 -2.863634 13.53538 + 807 | .9756318 4.183949 0.23 0.816 -7.229128 9.180392 + 898 | -4.885727 3.873449 -1.26 0.207 -12.48159 2.710141 + 899 | -5.117256 4.336641 -1.18 0.238 -13.62145 3.386935 + 1000 | .6646219 5.973964 0.11 0.911 -11.05037 12.37962 + 1001 | .7757184 3.999628 0.19 0.846 -7.067587 8.619024 + 1002 | 3.530077 4.221142 0.84 0.403 -4.747619 11.80777 + 1003 | 3.519101 3.960708 0.89 0.374 -4.247883 11.28608 + 1005 | 4.925318 5.471079 0.90 0.368 -5.803514 15.65415 + 1006 | 10.20645 4.715949 2.16 0.031 .9584363 19.45447 + 1007 | -.8393627 3.840321 -0.22 0.827 -8.370266 6.69154 + 1010 | 1.446406 5.796802 0.25 0.803 -9.921173 12.81398 + 1098 | -10.47596 3.96417 -2.64 0.008 -18.24974 -2.702192 + 1099 | -.5693626 6.491324 -0.09 0.930 -13.29891 12.16018 + 1200 | 7.524412 6.284547 1.20 0.231 -4.799639 19.84846 + 1201 | 2.028394 4.445291 0.46 0.648 -6.688859 10.74565 + 1202 | .3747974 4.981126 0.08 0.940 -9.393233 10.14283 + 1203 | 1.721314 4.027717 0.43 0.669 -6.177073 9.619702 + 1204 | 1.689866 3.876122 0.44 0.663 -5.911242 9.290974 + 1205 | 4.486084 4.569709 0.98 0.326 -4.475155 13.44732 + 1206 | -2.618064 4.12026 -0.64 0.525 -10.69793 5.461801 + 1207 | 5.61309 4.036942 1.39 0.165 -2.303389 13.52957 + 1208 | 16.17289 4.780276 3.38 0.001 6.798722 25.54705 + 1209 | 20.40104 4.501685 4.53 0.000 11.57319 29.22888 + 1210 | 8.574311 4.571692 1.88 0.061 -.3908174 17.53944 + 1211 | 7.743255 5.175019 1.50 0.135 -2.405001 17.89151 + 1299 | .4556109 6.264916 0.07 0.942 -11.82994 12.74117 + 1300 | 9.728667 7.539284 1.29 0.197 -5.055934 24.51327 + 1301 | 13.97808 7.472218 1.87 0.062 -.6750059 28.63116 + 1302 | -.6137225 4.198484 -0.15 0.884 -8.846985 7.61954 + 1303 | 5.756951 3.921479 1.47 0.142 -1.933104 13.44701 + 1304 | 20.70583 7.373488 2.81 0.005 6.246354 35.1653 + 1305 | 30.42015 9.232678 3.29 0.001 12.31479 48.52551 + 1399 | -2.09977 4.937585 -0.43 0.671 -11.78242 7.582878 + 1400 | 7.895486 5.344449 1.48 0.140 -2.585025 18.376 + 1401 | 11.93492 6.014578 1.98 0.047 .1402826 23.72956 + 1403 | 1.707732 7.398842 0.23 0.817 -12.80146 16.21693 + 1404 | -1.348603 5.006073 -0.27 0.788 -11.16556 8.468349 + 1405 | .0976116 3.938765 0.02 0.980 -7.626341 7.821564 + 1406 | 8.400993 6.015282 1.40 0.163 -3.395028 20.19701 + 1407 | 1.564296 4.243361 0.37 0.712 -6.756972 9.885564 + 1408 | 8.786464 8.045015 1.09 0.275 -6.989881 24.56281 + 1409 | 10.19847 5.721846 1.78 0.075 -1.022116 21.41906 + 1410 | 10.95835 5.407659 2.03 0.043 .3538886 21.56282 + 1499 | 1.198941 5.856449 0.20 0.838 -10.28561 12.68349 + 1500 | 6.354363 7.092869 0.90 0.370 -7.554814 20.26354 + 1501 | 8.642942 4.415164 1.96 0.050 -.0152328 17.30112 + 1502 | 2.055181 4.308713 0.48 0.633 -6.394243 10.5046 + 1504 | 12.02784 5.860439 2.05 0.040 .5354703 23.52021 + 1505 | 7.692335 4.444643 1.73 0.084 -1.023647 16.40832 + 1507 | 4.39948 5.254553 0.84 0.403 -5.904745 14.7037 + 1520 | 4.600642 5.694914 0.81 0.419 -6.567135 15.76842 + 1521 | 5.920135 3.781977 1.57 0.118 -1.496354 13.33662 + 1522 | .633868 4.60523 0.14 0.891 -8.397027 9.664763 + 1523 | .9036781 3.693691 0.24 0.807 -6.339681 8.147037 + 1524 | 30.7896 19.42432 1.59 0.113 -7.301655 68.88085 + 1525 | 6.157003 4.779503 1.29 0.198 -3.215644 15.52965 + 1526 | 10.9802 5.892277 1.86 0.063 -.5746092 22.535 + 1599 | 15.6588 7.611514 2.06 0.040 .7325553 30.58504 + 1600 | -7.181423 4.374204 -1.64 0.101 -15.75927 1.396429 + 1602 | 17.18748 11.10322 1.55 0.122 -4.586032 38.96099 + 1603 | -4.188536 5.560756 -0.75 0.451 -15.09323 6.716154 + 1604 | 8.279641 8.847589 0.94 0.349 -9.070558 25.62984 + 1605 | 8.928384 7.204432 1.24 0.215 -5.19957 23.05634 + 1606 | .2110776 6.849177 0.03 0.975 -13.22022 13.64237 + 1608 | 18.63694 4.724404 3.94 0.000 9.372346 27.90154 + 1609 | 15.03736 4.292302 3.50 0.000 6.620117 23.4546 + 1610 | 7.101729 9.3216 0.76 0.446 -11.17801 25.38147 + 1611 | -2.333755 4.981333 -0.47 0.639 -12.10219 7.434683 + 1612 | 7.031614 4.8528 1.45 0.147 -2.484769 16.548 + 1614 | -8.030583 4.637003 -1.73 0.083 -17.12379 1.06262 + 1615 | -.1216206 4.097573 -0.03 0.976 -8.156998 7.913756 + 1616 | -6.102773 3.708291 -1.65 0.100 -13.37476 1.169217 + 1617 | 3.786485 6.836653 0.55 0.580 -9.620251 17.19322 + 1619 | 8.706483 6.964331 1.25 0.211 -4.95063 22.3636 + 1620 | -6.986441 3.850133 -1.81 0.070 -14.53659 .5637038 + 1698 | -9.522155 4.674338 -2.04 0.042 -18.68857 -.3557371 + 1699 | 11.08448 6.800734 1.63 0.103 -2.25182 24.42078 + 1700 | 5.862968 7.5474 0.78 0.437 -8.937548 20.66348 + 1701 | -2.309686 4.27188 -0.54 0.589 -10.68688 6.067509 + 1704 | -1.09737 4.330007 -0.25 0.800 -9.588551 7.393812 + 1705 | -9.815087 4.699326 -2.09 0.037 -19.0305 -.5996685 + 1706 | 8.656679 4.870614 1.78 0.076 -.8946379 18.208 + 1707 | 14.8771 5.607475 2.65 0.008 3.880794 25.87341 + 1708 | -1.904593 3.785845 -0.50 0.615 -9.328668 5.519481 + 1709 | 12.45138 5.329326 2.34 0.020 2.000521 22.90223 + 1798 | 6.702065 5.591673 1.20 0.231 -4.263254 17.66738 + 1799 | -5.270009 3.986664 -1.32 0.186 -13.08789 2.547873 + 1800 | -3.63616 4.199657 -0.87 0.387 -11.87172 4.599404 + 1802 | -.9221613 3.771083 -0.24 0.807 -8.317288 6.472965 + 1803 | 2.729296 5.377991 0.51 0.612 -7.816991 13.27558 + 1804 | -.148983 4.374539 -0.03 0.973 -8.727492 8.429526 + 1806 | -2.353719 3.682447 -0.64 0.523 -9.57503 4.867592 + 1807 | -8.900619 3.434254 -2.59 0.010 -15.63522 -2.166017 + 1808 | 6.379495 12.05492 0.53 0.597 -17.26031 30.0193 + 1899 | 3.164654 13.26003 0.24 0.811 -22.83838 29.16768 + 1900 | -3.646721 4.71037 -0.77 0.439 -12.8838 5.590356 + 1901 | 2.116469 4.093298 0.52 0.605 -5.910524 10.14346 + 1902 | 11.57534 6.760625 1.71 0.087 -1.682307 24.83298 + 1905 | 14.47092 9.795455 1.48 0.140 -4.738048 33.6799 + 1906 | 3.124559 4.7457 0.66 0.510 -6.1818 12.43092 + 1907 | -1.207877 4.047032 -0.30 0.765 -9.144141 6.728388 + 1908 | .8912429 7.752666 0.11 0.908 -14.3118 16.09429 + 1909 | -.2319387 4.810417 -0.05 0.962 -9.665208 9.201331 + 1910 | 13.5184 8.266363 1.64 0.102 -2.692013 29.72881 + 1911 | 1.375105 5.353817 0.26 0.797 -9.123776 11.87399 + 1912 | -6.871106 3.763364 -1.83 0.068 -14.2511 .5088844 + 1914 | 6.270949 5.269607 1.19 0.234 -4.062796 16.60469 + 1915 | -9.965364 4.408426 -2.26 0.024 -18.61033 -1.320403 + 1919 | .3889137 4.136541 0.09 0.925 -7.722879 8.500706 + 1920 | 27.92187 8.452393 3.30 0.001 11.34666 44.49709 + 1925 | 15.47481 5.558356 2.78 0.005 4.574829 26.3748 + 1926 | 7.209021 4.421625 1.63 0.103 -1.461824 15.87987 + 1927 | 1.367525 4.28658 0.32 0.750 -7.038496 9.773546 + 1929 | 9.80232 5.7888 1.69 0.091 -1.549567 21.15421 + 1999 | -4.40678 4.747969 -0.93 0.353 -13.71759 4.904028 + 2000 | -3.360697 4.044672 -0.83 0.406 -11.29233 4.570939 + 2001 | 3.405164 4.12913 0.82 0.410 -4.692096 11.50242 + 2002 | 5.088035 3.997732 1.27 0.203 -2.751553 12.92762 + 2003 | 15.17958 6.148596 2.47 0.014 3.122133 27.23703 + 2004 | 3.803076 3.872314 0.98 0.326 -3.790566 11.39672 + 2005 | 9.269802 10.41724 0.89 0.374 -11.1585 29.69811 + 2006 | 79.13434 8.932942 8.86 0.000 61.61676 96.65191 + 2007 | 6.209294 5.60234 1.11 0.268 -4.776943 17.19553 + 2008 | 5.324146 3.633804 1.47 0.143 -1.801775 12.45007 + 2009 | 2.558508 5.249959 0.49 0.626 -7.736706 12.85372 + 2011 | 4.3639 3.7068 1.18 0.239 -2.905166 11.63297 + 2012 | .6181542 3.939525 0.16 0.875 -7.107289 8.343598 + 2013 | .0781455 4.776093 0.02 0.987 -9.287815 9.444106 + 2014 | -.6208248 4.43716 -0.14 0.889 -9.322135 8.080485 + 2015 | -.9704927 5.073925 -0.19 0.848 -10.9205 8.979517 + 2030 | 21.13644 10.29834 2.05 0.040 .9413138 41.33156 + 2099 | 12.23557 8.807679 1.39 0.165 -5.036362 29.50751 + 2100 | .6382039 4.695638 0.14 0.892 -8.569982 9.84639 + 2101 | 3.38878 3.608758 0.94 0.348 -3.688027 10.46559 + 2102 | -2.792324 3.494487 -0.80 0.424 -9.645043 4.060396 + 2103 | -1.535064 3.488131 -0.44 0.660 -8.37532 5.305193 + 2104 | -3.205592 3.481883 -0.92 0.357 -10.03359 3.622411 + 2105 | 9.085275 7.808088 1.16 0.245 -6.226453 24.397 + 2199 | -1.746224 5.070574 -0.34 0.731 -11.68966 8.197216 + 9999 | 29.93491 14.90256 2.01 0.045 .7108619 59.15896 + | + house_administration | .8988688 1.749323 0.51 0.607 -2.531569 4.329307 + house_agriculture | 3.626009 1.369273 2.65 0.008 .940853 6.311165 + house_appropriations | 4.891156 3.969802 1.23 0.218 -2.89366 12.67597 + house_armedservices | 5.243685 1.820702 2.88 0.004 1.673273 8.814097 + house_budget | 6.47958 3.336548 1.94 0.052 -.0634205 13.02258 + house_dc | .3122099 3.146875 0.10 0.921 -5.858839 6.483259 + house_educlabor | .5837571 1.186008 0.49 0.623 -1.742014 2.909528 + house_energycommerce | 5.706145 .9162274 6.23 0.000 3.909415 7.502875 + house_foreignaffairs | 2.147935 1.576294 1.36 0.173 -.9431907 5.239061 + house_governmentop | 8.188905 2.835873 2.89 0.004 2.627733 13.75008 + house_intelligence | 3.938714 5.866069 0.67 0.502 -7.564698 15.44213 + house_interior | .3421209 1.296572 0.26 0.792 -2.200468 2.884709 + house_judiciary | 3.876442 .9036652 4.29 0.000 2.104346 5.648537 + house_mmf | 2.046394 1.781337 1.15 0.251 -1.446823 5.539611 + house_pocs | 2.057107 2.36595 0.87 0.385 -2.58254 6.696755 + house_pwt | 2.197395 1.565822 1.40 0.161 -.8731958 5.267986 + house_rules | 4.05725 1.787574 2.27 0.023 .5518025 7.562698 + house_sst | 6.184616 4.719616 1.31 0.190 -3.070592 15.43982 + house_smallbusi | -5.509924 1.919969 -2.87 0.004 -9.274999 -1.744848 + house_soc | -11.09551 3.353642 -3.31 0.001 -17.67203 -4.518985 + house_veterans | .9337602 1.845834 0.51 0.613 -2.685935 4.553456 + house_waysandmeans | 3.566338 .8215556 4.34 0.000 1.95526 5.177416 +house_naturalresources | 1.873328 1.135515 1.65 0.099 -.3534261 4.100082 + house_bfs | .4197286 1.297796 0.32 0.746 -2.125261 2.964718 + house_eeo | 3.008659 3.464967 0.87 0.385 -3.786171 9.803488 + house_govreform | 1.70986 1.307967 1.31 0.191 -.8550745 4.274794 + house_ir | 4.218512 1.712659 2.46 0.014 .8599725 7.577052 + house_natsecur | 8.492019 4.135942 2.05 0.040 .3814013 16.60264 + house_oversight | 4.201764 1.882431 2.23 0.026 .5103004 7.893228 + house_resources | -1.434833 .9592867 -1.50 0.135 -3.316002 .4463368 + house_science | .2642162 1.763754 0.15 0.881 -3.194521 3.722954 + house_transp | 2.75087 1.151115 2.39 0.017 .4935237 5.008216 + house_homeland | -1.082365 1.851074 -0.58 0.559 -4.712338 2.547607 + NE | -2.428291 .8635297 -2.81 0.005 -4.12168 -.7349018 + MW | -.2162541 .8545552 -0.25 0.800 -1.892044 1.459536 + WE | -1.169452 .9948929 -1.18 0.240 -3.120445 .781542 + pct_black | -1.819795 4.089336 -0.45 0.656 -9.839019 6.199429 + pct_urban | 1.403434 2.107605 0.67 0.506 -2.729597 5.536464 + pct_for_born | 3.521211 6.427652 0.55 0.584 -9.08347 16.12589 + pct_age_over65 | 16.77356 7.798029 2.15 0.032 1.481555 32.06556 + lninc | 4.779912 2.185009 2.19 0.029 .4950906 9.064734 + lnpden | .1272575 .2606958 0.49 0.625 -.3839692 .6384843 + _cons | -46.55768 21.83745 -2.13 0.033 -89.3811 -3.73426 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,273 1 0 1 1 +reg numb_cosponsors sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 +> borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if tag_bill==1, robust cluster(group_sponsor) + +Linear regression Number of obs = 60,670 + F(291, 4745) = . + Prob > F = . + R-squared = 0.0864 + Root MSE = 34.458 + + (Std. Err. adjusted for 4,746 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 1.395306 .6279318 2.22 0.026 .1642684 2.626344 + | + v2 | + 102 | -.7853174 .9493041 -0.83 0.408 -2.646394 1.075759 + 103 | -5.013249 1.146955 -4.37 0.000 -7.261813 -2.764685 + 104 | -5.112092 1.24155 -4.12 0.000 -7.546107 -2.678077 + 105 | -2.011756 1.213985 -1.66 0.098 -4.391729 .3682172 + 106 | -.6585097 1.262754 -0.52 0.602 -3.134093 1.817074 + 107 | -.7558473 1.233383 -0.61 0.540 -3.173851 1.662156 + 108 | 2.594928 3.154139 0.82 0.411 -3.588647 8.778504 + 109 | 1.955625 3.112755 0.63 0.530 -4.146818 8.058069 + 110 | 2.53595 3.09443 0.82 0.413 -3.530569 8.602469 + 111 | .1341812 3.131089 0.04 0.966 -6.004206 6.272568 + | + minor | + 101 | -1.442328 4.902292 -0.29 0.769 -11.0531 8.16844 + 103 | -3.30346 5.216858 -0.63 0.527 -13.53092 6.924001 + 104 | 1.103687 3.612888 0.31 0.760 -5.97925 8.186623 + 105 | 9.899925 5.983812 1.65 0.098 -1.831122 21.63097 + 107 | 7.190918 3.007307 2.39 0.017 1.295202 13.08663 + 108 | 4.287243 5.105895 0.84 0.401 -5.722681 14.29717 + 110 | 3.968397 9.895735 0.40 0.688 -15.43184 23.36863 + 200 | 12.16333 3.861761 3.15 0.002 4.592484 19.73417 + 201 | 6.475196 5.393389 1.20 0.230 -4.098349 17.04874 + 202 | 30.23841 6.058673 4.99 0.000 18.3606 42.11622 + 204 | 12.15799 6.319509 1.92 0.054 -.2311808 24.54716 + 205 | 54.72619 17.42308 3.14 0.002 20.56886 88.88352 + 206 | 11.23606 4.41361 2.55 0.011 2.583336 19.88878 + 207 | 24.48015 4.411092 5.55 0.000 15.83237 33.12794 + 208 | 4.593287 3.306083 1.39 0.165 -1.888171 11.07474 + 209 | 15.11874 12.32892 1.23 0.220 -9.051667 39.28915 + 299 | 54.72462 13.79956 3.97 0.000 27.67108 81.77817 + 300 | 8.235181 4.031422 2.04 0.041 .331723 16.13864 + 301 | 6.568248 3.33824 1.97 0.049 .0237493 13.11275 + 302 | 10.79703 3.183995 3.39 0.001 4.554921 17.03914 + 321 | 7.507329 3.41266 2.20 0.028 .8169317 14.19773 + 322 | 1.599455 3.160132 0.51 0.613 -4.595871 7.794782 + 323 | 14.97311 3.933685 3.81 0.000 7.261263 22.68496 + 324 | 1.858318 3.577968 0.52 0.604 -5.15616 8.872795 + 325 | 6.900094 3.33646 2.07 0.039 .3590835 13.4411 + 331 | 22.32043 3.850637 5.80 0.000 14.77139 29.86946 + 332 | 13.42057 3.317526 4.05 0.000 6.916679 19.92446 + 333 | 16.88175 4.565836 3.70 0.000 7.930597 25.83291 + 334 | 14.01855 3.456696 4.06 0.000 7.241825 20.79528 + 335 | 8.710775 3.753534 2.32 0.020 1.352107 16.06944 + 336 | 19.61682 4.297277 4.56 0.000 11.19216 28.04148 + 341 | 9.217247 3.843726 2.40 0.017 1.68176 16.75273 + 342 | 9.43394 6.720319 1.40 0.160 -3.741003 22.60888 + 343 | 3.546804 3.799773 0.93 0.351 -3.902515 10.99612 + 344 | 8.181619 5.207064 1.57 0.116 -2.026643 18.38988 + 398 | 23.19802 3.753883 6.18 0.000 15.83867 30.55737 + 399 | 9.443212 5.770431 1.64 0.102 -1.869511 20.75593 + 400 | 2.001744 4.023046 0.50 0.619 -5.885292 9.888781 + 401 | .8860891 3.423631 0.26 0.796 -5.825817 7.597995 + 402 | 1.650732 3.118315 0.53 0.597 -4.462612 7.764076 + 403 | 5.04562 3.572295 1.41 0.158 -1.957735 12.04898 + 404 | 5.37369 4.478822 1.20 0.230 -3.406879 14.15426 + 405 | 25.08011 7.040018 3.56 0.000 11.27841 38.88182 + 498 | 14.36671 7.89523 1.82 0.069 -1.111608 29.84502 + 499 | 13.1698 8.032233 1.64 0.101 -2.577107 28.9167 + 500 | 2.905625 4.399721 0.66 0.509 -5.719869 11.53112 + 501 | 6.570315 3.586896 1.83 0.067 -.4616654 13.6023 + 502 | 6.137323 3.683043 1.67 0.096 -1.08315 13.3578 + 503 | 7.704175 3.053468 2.52 0.012 1.71796 13.69039 + 504 | 24.64491 4.880918 5.05 0.000 15.07605 34.21378 + 505 | 10.88972 3.866296 2.82 0.005 3.309984 18.46945 + 506 | 14.26885 4.683828 3.05 0.002 5.086375 23.45133 + 508 | 5.028653 3.506413 1.43 0.152 -1.845544 11.90285 + 529 | 10.86079 5.594211 1.94 0.052 -.1064602 21.82804 + 530 | 4.753967 3.043783 1.56 0.118 -1.213259 10.72119 + 599 | 9.138846 6.123382 1.49 0.136 -2.865825 21.14352 + 600 | 8.165669 3.631005 2.25 0.025 1.047215 15.28412 + 601 | 7.357591 3.022125 2.43 0.015 1.432824 13.28236 + 602 | 9.528 3.126726 3.05 0.002 3.398166 15.65783 + 603 | 7.599922 3.622676 2.10 0.036 .4977963 14.70205 + 604 | 1.155698 4.332487 0.27 0.790 -7.337986 9.649383 + 606 | 10.41867 4.651315 2.24 0.025 1.299933 19.53741 + 607 | 8.076086 3.423923 2.36 0.018 1.363609 14.78856 + 609 | 7.152042 4.627324 1.55 0.122 -1.91966 16.22375 + 698 | -3.498845 3.508449 -1.00 0.319 -10.37703 3.379344 + 699 | 6.49365 4.278386 1.52 0.129 -1.893973 14.88127 + 700 | 2.786551 3.266533 0.85 0.394 -3.61737 9.190471 + 701 | 4.175187 3.448363 1.21 0.226 -2.585205 10.93558 + 703 | .709477 3.174664 0.22 0.823 -5.514339 6.933293 + 704 | 3.549104 3.356046 1.06 0.290 -3.030305 10.12851 + 705 | 5.791327 3.506281 1.65 0.099 -1.082611 12.66527 + 707 | 17.72789 4.917356 3.61 0.000 8.087587 27.36819 + 708 | 6.187614 4.272869 1.45 0.148 -2.189193 14.56442 + 709 | 12.47906 3.204457 3.89 0.000 6.196833 18.76128 + 710 | 4.046302 3.18355 1.27 0.204 -2.194934 10.28754 + 711 | 6.317324 3.592032 1.76 0.079 -.7247257 13.35937 + 798 | 4.159615 4.166014 1.00 0.318 -4.007706 12.32694 + 799 | .4745711 4.576775 0.10 0.917 -8.498032 9.447174 + 800 | -2.940858 3.202076 -0.92 0.358 -9.218414 3.336698 + 801 | -2.520177 3.62981 -0.69 0.488 -9.636289 4.595935 + 802 | -2.500439 3.168016 -0.79 0.430 -8.71122 3.710343 + 803 | 1.97572 3.061886 0.65 0.519 -4.026999 7.978438 + 805 | -1.31709 3.301039 -0.40 0.690 -7.788659 5.154478 + 806 | 3.207493 3.194331 1.00 0.315 -3.054879 9.469864 + 807 | 1.624438 3.328984 0.49 0.626 -4.901916 8.150791 + 898 | 1.772301 4.480611 0.40 0.692 -7.011777 10.55638 + 899 | -2.723026 4.223328 -0.64 0.519 -11.00271 5.556657 + 1000 | .0895485 4.060935 0.02 0.982 -7.871769 8.050866 + 1001 | -.9734607 3.191322 -0.31 0.760 -7.229932 5.283011 + 1002 | 2.246692 3.345418 0.67 0.502 -4.311881 8.805264 + 1003 | 3.439162 3.17409 1.08 0.279 -2.783528 9.661852 + 1005 | 7.284711 4.369428 1.67 0.096 -1.281396 15.85082 + 1006 | 6.460621 3.608761 1.79 0.073 -.614225 13.53547 + 1007 | .540727 3.171873 0.17 0.865 -5.677617 6.759071 + 1010 | .1462717 3.795141 0.04 0.969 -7.293966 7.586509 + 1098 | -8.458768 3.460439 -2.44 0.015 -15.24283 -1.674702 + 1099 | 1.456053 4.867771 0.30 0.765 -8.087037 10.99914 + 1200 | 9.871407 5.131769 1.92 0.054 -.1892404 19.93206 + 1201 | 3.398325 3.53281 0.96 0.336 -3.527621 10.32427 + 1202 | .903384 3.820937 0.24 0.813 -6.587426 8.394194 + 1203 | 1.648227 3.199235 0.52 0.606 -4.623758 7.920212 + 1204 | 1.694471 3.187319 0.53 0.595 -4.554154 7.943096 + 1205 | 4.004635 3.512075 1.14 0.254 -2.880662 10.88993 + 1206 | 1.811401 3.931872 0.46 0.645 -5.896893 9.519696 + 1207 | 5.568356 3.331975 1.67 0.095 -.9638608 12.10057 + 1208 | 11.4437 3.328151 3.44 0.001 4.918981 17.96842 + 1209 | 11.96019 3.263897 3.66 0.000 5.56144 18.35895 + 1210 | 6.655335 3.491395 1.91 0.057 -.1894198 13.50009 + 1211 | 7.599446 4.074569 1.87 0.062 -.3885994 15.58749 + 1299 | 10.35479 7.869494 1.32 0.188 -5.073069 25.78265 + 1300 | 12.28093 5.080979 2.42 0.016 2.319851 22.24201 + 1301 | 10.34657 3.811228 2.71 0.007 2.874797 17.81835 + 1302 | -1.938686 3.162267 -0.61 0.540 -8.138197 4.260824 + 1303 | 6.777264 3.270614 2.07 0.038 .3653422 13.18918 + 1304 | 14.44695 4.267963 3.38 0.001 6.079763 22.81414 + 1305 | 13.92179 4.928936 2.82 0.005 4.258784 23.58479 + 1399 | 8.522045 9.41518 0.91 0.365 -9.936078 26.98017 + 1400 | 5.267014 3.666466 1.44 0.151 -1.920961 12.45499 + 1401 | 8.435001 3.74695 2.25 0.024 1.08924 15.78076 + 1403 | 7.515033 4.548439 1.65 0.099 -1.402019 16.43209 + 1404 | 3.392043 5.25224 0.65 0.518 -6.904785 13.68887 + 1405 | -.5012419 3.258152 -0.15 0.878 -6.888733 5.886249 + 1406 | 8.779997 4.000194 2.19 0.028 .9377606 16.62223 + 1407 | 4.044742 3.500818 1.16 0.248 -2.818486 10.90797 + 1408 | 3.44868 4.388656 0.79 0.432 -5.155123 12.05248 + 1409 | 15.36212 4.826787 3.18 0.001 5.899382 24.82487 + 1410 | 5.13467 3.670391 1.40 0.162 -2.060999 12.33034 + 1499 | -.2374341 3.861475 -0.06 0.951 -7.807717 7.332849 + 1500 | 5.110374 5.179056 0.99 0.324 -5.042978 15.26373 + 1501 | 4.827651 3.233385 1.49 0.135 -1.511284 11.16659 + 1502 | 3.12879 3.344302 0.94 0.350 -3.427595 9.685174 + 1504 | 10.17916 3.889071 2.62 0.009 2.55478 17.80355 + 1505 | 3.667061 3.339622 1.10 0.272 -2.880148 10.21427 + 1507 | 1.796061 3.785467 0.47 0.635 -5.625211 9.217332 + 1520 | 3.088948 3.667863 0.84 0.400 -4.101766 10.27966 + 1521 | 4.239091 3.029812 1.40 0.162 -1.700747 10.17893 + 1522 | .6605784 3.384328 0.20 0.845 -5.974274 7.295431 + 1523 | 1.588769 3.013031 0.53 0.598 -4.31817 7.495708 + 1524 | 22.85443 11.56073 1.98 0.048 .1900422 45.51882 + 1525 | 6.914132 3.292128 2.10 0.036 .4600332 13.36823 + 1526 | 4.261933 3.831196 1.11 0.266 -3.248989 11.77286 + 1599 | 12.79396 5.146061 2.49 0.013 2.70529 22.88262 + 1600 | -5.970547 3.361804 -1.78 0.076 -12.56124 .6201487 + 1602 | 13.07364 7.186468 1.82 0.069 -1.015173 27.16245 + 1603 | -7.00603 4.743302 -1.48 0.140 -16.3051 2.293042 + 1604 | -1.8053 4.378899 -0.41 0.680 -10.38997 6.779374 + 1605 | 6.090713 4.325317 1.41 0.159 -2.388916 14.57034 + 1606 | 3.791402 4.828233 0.79 0.432 -5.674175 13.25698 + 1608 | 11.39524 3.36678 3.38 0.001 4.794789 17.99569 + 1609 | 11.92218 3.368027 3.54 0.000 5.319285 18.52508 + 1610 | 3.427155 4.660329 0.74 0.462 -5.709252 12.56356 + 1611 | -5.303799 3.373386 -1.57 0.116 -11.9172 1.309602 + 1612 | 5.474136 3.60263 1.52 0.129 -1.588692 12.53696 + 1614 | -2.223421 3.858741 -0.58 0.565 -9.788344 5.341503 + 1615 | .7971157 3.324656 0.24 0.811 -5.720752 7.314983 + 1616 | -5.125546 3.103587 -1.65 0.099 -11.21002 .9589254 + 1617 | -2.955556 3.755804 -0.79 0.431 -10.31867 4.407563 + 1619 | 4.011118 4.438646 0.90 0.366 -4.690688 12.71292 + 1620 | -2.213512 4.171187 -0.53 0.596 -10.39097 5.963949 + 1698 | -8.705523 3.455884 -2.52 0.012 -15.48066 -1.930386 + 1699 | 19.39513 5.316613 3.65 0.000 8.972103 29.81816 + 1700 | 4.491942 4.809767 0.93 0.350 -4.937434 13.92132 + 1701 | -1.601966 3.326869 -0.48 0.630 -8.124173 4.920241 + 1704 | -.0985339 3.727563 -0.03 0.979 -7.406287 7.209219 + 1705 | -.9542437 4.867645 -0.20 0.845 -10.49709 8.5886 + 1706 | 4.300523 3.511056 1.22 0.221 -2.582776 11.18382 + 1707 | 8.666053 3.591768 2.41 0.016 1.62452 15.70759 + 1708 | .3623015 3.399418 0.11 0.915 -6.302136 7.026739 + 1709 | 8.222155 3.901096 2.11 0.035 .5741968 15.87011 + 1798 | 10.01971 4.805707 2.08 0.037 .5982957 19.44113 + 1799 | 1.853968 5.958441 0.31 0.756 -9.827342 13.53528 + 1800 | -.6177164 3.509093 -0.18 0.860 -7.497167 6.261735 + 1802 | 2.580207 3.228311 0.80 0.424 -3.748781 8.909194 + 1803 | 2.579869 3.686164 0.70 0.484 -4.646723 9.80646 + 1804 | -.6998331 3.40183 -0.21 0.837 -7.368999 5.969333 + 1806 | .6250838 3.551261 0.18 0.860 -6.337036 7.587204 + 1807 | -8.347046 2.906623 -2.87 0.004 -14.04538 -2.648717 + 1808 | 10.84852 8.371239 1.30 0.195 -5.562992 27.26004 + 1899 | 19.96799 14.06924 1.42 0.156 -7.614255 47.55024 + 1900 | -1.172975 3.619739 -0.32 0.746 -8.269345 5.923394 + 1901 | 8.81609 3.54372 2.49 0.013 1.868755 15.76343 + 1902 | 8.595711 4.465299 1.93 0.054 -.1583471 17.34977 + 1905 | 23.25211 6.100596 3.81 0.000 11.29212 35.21211 + 1906 | 5.038155 3.593113 1.40 0.161 -2.006014 12.08232 + 1907 | 2.579568 4.412312 0.58 0.559 -6.07061 11.22975 + 1908 | 1.506271 5.29675 0.28 0.776 -8.877817 11.89036 + 1909 | -.7012767 4.356163 -0.16 0.872 -9.241378 7.838825 + 1910 | 5.428818 5.178718 1.05 0.295 -4.723873 15.58151 + 1911 | 12.52796 6.976889 1.80 0.073 -1.149979 26.2059 + 1912 | -.1723044 12.91294 -0.01 0.989 -25.48765 25.14305 + 1914 | 9.579885 4.208964 2.28 0.023 1.328362 17.83141 + 1915 | -9.05824 3.655179 -2.48 0.013 -16.22409 -1.892393 + 1919 | .5236066 3.96665 0.13 0.895 -7.252868 8.300081 + 1920 | 19.99171 5.649372 3.54 0.000 8.916316 31.0671 + 1925 | 15.86346 4.144911 3.83 0.000 7.737511 23.98941 + 1926 | 9.723284 3.928812 2.47 0.013 2.02099 17.42558 + 1927 | 1.971671 3.561226 0.55 0.580 -5.009984 8.953326 + 1929 | 5.077856 4.132733 1.23 0.219 -3.024218 13.17993 + 1999 | 1.948093 8.16884 0.24 0.812 -14.06662 17.96281 + 2000 | -1.769785 3.273679 -0.54 0.589 -8.187715 4.648144 + 2001 | 3.833083 3.599051 1.07 0.287 -3.222728 10.88889 + 2002 | 4.413747 3.310193 1.33 0.182 -2.075767 10.90326 + 2003 | 19.5395 4.89107 3.99 0.000 9.95073 29.12826 + 2004 | 7.524432 3.2539 2.31 0.021 1.145279 13.90359 + 2005 | .893869 5.063529 0.18 0.860 -9.032997 10.82074 + 2006 | 79.31952 6.371312 12.45 0.000 66.82879 91.81025 + 2007 | 2.780133 3.701823 0.75 0.453 -4.477159 10.03742 + 2008 | 4.169399 2.981606 1.40 0.162 -1.675933 10.01473 + 2009 | 6.749054 5.738331 1.18 0.240 -4.500737 17.99884 + 2010 | -13.96823 3.113418 -4.49 0.000 -20.07197 -7.864481 + 2011 | 2.18951 3.129196 0.70 0.484 -3.945167 8.324187 + 2012 | 1.949573 3.240572 0.60 0.547 -4.403451 8.302597 + 2013 | 2.905536 3.611277 0.80 0.421 -4.174244 9.985315 + 2014 | 1.646236 4.06543 0.40 0.686 -6.323894 9.616366 + 2015 | .1724886 3.760058 0.05 0.963 -7.19897 7.543947 + 2030 | 20.51457 6.934655 2.96 0.003 6.919429 34.10971 + 2099 | 16.01642 6.520832 2.46 0.014 3.232568 28.80028 + 2100 | -2.367328 3.64637 -0.65 0.516 -9.515904 4.781249 + 2101 | 3.251202 3.01871 1.08 0.282 -2.666869 9.169274 + 2102 | -.3896995 3.066022 -0.13 0.899 -6.400526 5.621127 + 2103 | .9594883 2.979039 0.32 0.747 -4.88081 6.799786 + 2104 | -3.872033 2.938948 -1.32 0.188 -9.633735 1.889668 + 2105 | 10.69497 6.318799 1.69 0.091 -1.692809 23.08275 + 2199 | -5.493438 3.810334 -1.44 0.149 -12.96346 1.976584 + 9999 | 29.32207 9.41128 3.12 0.002 10.87159 47.77254 + | + house_administration | 2.276146 1.474389 1.54 0.123 -.6143401 5.166632 + house_agriculture | 2.724481 .8820702 3.09 0.002 .9952139 4.453748 + house_appropriations | 2.033842 4.179482 0.49 0.627 -6.159883 10.22757 + house_armedservices | 4.548511 1.153258 3.94 0.000 2.287591 6.80943 + house_budget | 3.088619 2.386025 1.29 0.196 -1.589097 7.766335 + house_dc | -5.35191 2.929057 -1.83 0.068 -11.09422 .3904007 + house_educlabor | 3.458238 .7467401 4.63 0.000 1.994281 4.922195 + house_energycommerce | 4.643028 .5655713 8.21 0.000 3.534245 5.75181 + house_foreignaffairs | 4.27322 1.185272 3.61 0.000 1.949536 6.596904 + house_governmentop | 4.318799 1.934405 2.23 0.026 .526468 8.11113 + house_intelligence | 6.718236 4.611462 1.46 0.145 -2.322371 15.75884 + house_interior | -.7545362 1.073019 -0.70 0.482 -2.858152 1.34908 + house_judiciary | 3.005838 .6003189 5.01 0.000 1.828935 4.182742 + house_mmf | .9782785 1.298855 0.75 0.451 -1.568079 3.524636 + house_pocs | 4.005312 1.802274 2.22 0.026 .472019 7.538604 + house_pwt | 2.528552 1.052675 2.40 0.016 .4648205 4.592283 + house_rules | 2.96476 1.430353 2.07 0.038 .1606041 5.768916 + house_sst | 5.094441 1.952464 2.61 0.009 1.266705 8.922176 + house_smallbusi | -4.344426 1.148852 -3.78 0.000 -6.596709 -2.092143 + house_soc | -1.7444 7.448187 -0.23 0.815 -16.3463 12.8575 + house_veterans | 1.554918 1.259107 1.23 0.217 -.9135172 4.023353 + house_waysandmeans | 2.977663 .5450242 5.46 0.000 1.909163 4.046164 +house_naturalresources | -.5353218 .9047562 -0.59 0.554 -2.309064 1.23842 + house_bfs | 1.245061 .8394054 1.48 0.138 -.4005636 2.890685 + house_eeo | -.2480719 1.936384 -0.13 0.898 -4.044282 3.548139 + house_govreform | 3.552048 .9486783 3.74 0.000 1.692198 5.411897 + house_ir | 3.834682 1.245585 3.08 0.002 1.392757 6.276608 + house_natsecur | 8.452608 2.733766 3.09 0.002 3.093157 13.81206 + house_oversight | .9699271 1.253897 0.77 0.439 -1.488292 3.428147 + house_resources | -1.500485 .8069899 -1.86 0.063 -3.08256 .0815897 + house_science | -1.23589 1.117685 -1.11 0.269 -3.427072 .9552912 + house_transp | 1.317425 .7506957 1.75 0.079 -.1542873 2.789137 + house_homeland | -1.462832 1.200266 -1.22 0.223 -3.815911 .8902467 + sponsor_democrat | .5703277 .4422502 1.29 0.197 -.2966879 1.437343 + sponsor_rookie | -3.545729 .546499 -6.49 0.000 -4.617121 -2.474337 + sponsor_tenure_run | .1136465 .091401 1.24 0.214 -.0655419 .2928348 + sponsor_age | .0109314 .0259252 0.42 0.673 -.0398939 .0617568 + leader | 1.433659 .6225628 2.30 0.021 .2131468 2.654171 + ivycoll | -.7657539 .6134528 -1.25 0.212 -1.968406 .4368984 + black | -.1491284 1.168508 -0.13 0.898 -2.439947 2.14169 + occ0 | 2.081001 .6673659 3.12 0.002 .772654 3.389348 + occ1 | 1.261529 .7325041 1.72 0.085 -.1745188 2.697577 + occ2 | .4818167 .5759181 0.84 0.403 -.6472499 1.610883 + occ3 | -1.375481 .7692321 -1.79 0.074 -2.883533 .1325704 + occ4 | .6162333 .6207332 0.99 0.321 -.6006918 1.833158 + borninstate | 1.26348 .3920779 3.22 0.001 .4948253 2.032135 + tot_bills | -.1604826 .0247525 -6.48 0.000 -.2090089 -.1119562 + NE | -2.318981 .6242807 -3.71 0.000 -3.542861 -1.095101 + MW | -.9289971 .6173572 -1.50 0.132 -2.139304 .2813095 + WE | .1452284 .66061 0.22 0.826 -1.149874 1.440331 + pct_black | .4841226 2.431934 0.20 0.842 -4.283596 5.251841 + pct_urban | .310373 1.340135 0.23 0.817 -2.316914 2.93766 + pct_for_born | -.8923753 3.188493 -0.28 0.780 -7.143301 5.35855 + pct_age_over65 | 17.40924 5.691464 3.06 0.002 6.251326 28.56715 + lninc | 5.917472 1.256562 4.71 0.000 3.454028 8.380916 + lnpden | .1021407 .1946604 0.52 0.600 -.279484 .4837653 + _cons | -54.10896 12.62031 -4.29 0.000 -78.85062 -29.3673 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,746 1 0 1 1 +reg numb_cosponsors sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 +> borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if sponsor_party==100 & tag_bill==1, robust cluster(group_sponsor) +note: sponsor_democrat omitted because of collinearity + +Linear regression Number of obs = 32,847 + F(290, 2491) = . + Prob > F = . + R-squared = 0.0974 + Root MSE = 34.251 + + (Std. Err. adjusted for 2,492 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 1.171604 .7458899 1.57 0.116 -.2910245 2.634232 + | + v2 | + 102 | -1.218204 1.043515 -1.17 0.243 -3.264451 .8280431 + 103 | -6.429127 1.513081 -4.25 0.000 -9.396152 -3.462101 + 104 | -10.86546 1.631674 -6.66 0.000 -14.06504 -7.665885 + 105 | -4.918294 1.595134 -3.08 0.002 -8.04622 -1.790369 + 106 | -3.230269 1.648025 -1.96 0.050 -6.461908 .0013704 + 107 | -3.571099 1.602351 -2.23 0.026 -6.713176 -.429021 + 108 | -5.84158 4.548361 -1.28 0.199 -14.76054 3.077378 + 109 | -7.746584 4.521963 -1.71 0.087 -16.61378 1.120608 + 110 | -2.290333 4.490478 -0.51 0.610 -11.09579 6.515121 + 111 | -5.677189 4.500581 -1.26 0.207 -14.50245 3.148076 + | + minor | + 101 | -3.097143 5.370961 -0.58 0.564 -13.62915 7.434865 + 103 | -9.401784 5.8524 -1.61 0.108 -20.87785 2.074286 + 104 | -2.989665 5.39108 -0.55 0.579 -13.56112 7.581795 + 105 | 2.192023 5.239473 0.42 0.676 -8.082149 12.46619 + 107 | 1.863167 4.858833 0.38 0.701 -7.6646 11.39093 + 108 | 6.906775 7.363663 0.94 0.348 -7.532756 21.34631 + 110 | -6.74636 8.750057 -0.77 0.441 -23.90449 10.41177 + 200 | 13.15003 5.851711 2.25 0.025 1.675313 24.62475 + 201 | 5.002577 6.739809 0.74 0.458 -8.213628 18.21878 + 202 | 31.62334 7.642985 4.14 0.000 16.63608 46.61059 + 204 | 18.39097 11.35501 1.62 0.105 -3.875266 40.6572 + 205 | 75.2129 26.17244 2.87 0.004 23.89092 126.5349 + 206 | 3.495839 5.850158 0.60 0.550 -7.975834 14.96751 + 207 | 24.12222 7.218469 3.34 0.001 9.967408 38.27704 + 208 | .9263031 5.12178 0.18 0.856 -9.117081 10.96969 + 209 | 22.21927 13.61976 1.63 0.103 -4.48794 48.92648 + 299 | 12.21226 11.49875 1.06 0.288 -10.33583 34.76035 + 300 | 8.386296 5.906407 1.42 0.156 -3.195676 19.96827 + 301 | 4.981975 5.122275 0.97 0.331 -5.062381 15.02633 + 302 | 9.861159 5.060893 1.95 0.051 -.0628308 19.78515 + 321 | 3.180919 5.10536 0.62 0.533 -6.830267 13.19211 + 322 | -1.203647 4.919468 -0.24 0.807 -10.85031 8.443021 + 323 | 15.94669 5.760468 2.77 0.006 4.650894 27.24249 + 324 | -1.20723 5.062179 -0.24 0.812 -11.13374 8.719282 + 325 | 6.167818 5.158068 1.20 0.232 -3.946724 16.28236 + 331 | 20.58607 5.610511 3.67 0.000 9.584327 31.58782 + 332 | 13.18499 5.117108 2.58 0.010 3.15077 23.21922 + 333 | 18.9595 6.260221 3.03 0.002 6.683725 31.23527 + 334 | 12.36952 5.211368 2.37 0.018 2.150461 22.58858 + 335 | 7.671964 5.456058 1.41 0.160 -3.026912 18.37084 + 336 | 17.60651 6.036152 2.92 0.004 5.770123 29.4429 + 341 | 7.85256 5.487471 1.43 0.153 -2.907913 18.61303 + 342 | 8.716822 8.369896 1.04 0.298 -7.695847 25.12949 + 343 | 6.168182 5.974353 1.03 0.302 -5.547027 17.88339 + 344 | 2.242256 6.203013 0.36 0.718 -9.921337 14.40585 + 398 | 24.08623 5.695982 4.23 0.000 12.91689 35.25558 + 399 | 10.35535 7.528385 1.38 0.169 -4.407191 25.11788 + 400 | 2.867165 6.129389 0.47 0.640 -9.152056 14.88639 + 401 | -.0541372 5.520985 -0.01 0.992 -10.88033 10.77205 + 402 | -.9518113 4.90803 -0.19 0.846 -10.57605 8.672427 + 403 | 1.139142 5.011127 0.23 0.820 -8.687261 10.96555 + 404 | -.7825388 5.494117 -0.14 0.887 -11.55605 9.990968 + 405 | 31.74329 9.885486 3.21 0.001 12.35868 51.12791 + 498 | 21.29874 13.11972 1.62 0.105 -4.427931 47.02542 + 499 | 2.954682 9.25573 0.32 0.750 -15.19503 21.1044 + 500 | 2.897264 7.192838 0.40 0.687 -11.20729 17.00182 + 501 | 2.190749 5.3084 0.41 0.680 -8.218581 12.60008 + 502 | 7.213086 5.712268 1.26 0.207 -3.988197 18.41437 + 503 | 6.492231 4.714207 1.38 0.169 -2.751937 15.7364 + 504 | 27.56054 7.603661 3.62 0.000 12.65039 42.47068 + 505 | 14.217 6.355513 2.24 0.025 1.754372 26.67964 + 506 | 14.1825 6.410208 2.21 0.027 1.612611 26.75238 + 508 | 5.402943 5.378171 1.00 0.315 -5.143204 15.94909 + 529 | 4.616877 7.758073 0.60 0.552 -10.59606 19.82981 + 530 | 3.659247 4.857409 0.75 0.451 -5.865728 13.18422 + 599 | 2.968232 7.011486 0.42 0.672 -10.78071 16.71717 + 600 | 3.552335 5.256625 0.68 0.499 -6.75547 13.86014 + 601 | 5.632891 4.793321 1.18 0.240 -3.766412 15.03219 + 602 | 8.484104 4.884969 1.74 0.083 -1.094913 18.06312 + 603 | 4.686013 5.300722 0.88 0.377 -5.708261 15.08029 + 604 | -.0105746 6.714095 -0.00 0.999 -13.17636 13.15521 + 606 | 9.4702 7.398959 1.28 0.201 -5.038542 23.97894 + 607 | 3.135104 4.999847 0.63 0.531 -6.66918 12.93939 + 609 | 4.478207 7.216342 0.62 0.535 -9.672439 18.62885 + 698 | -8.314606 4.949971 -1.68 0.093 -18.02109 1.391876 + 699 | 7.33892 6.194417 1.18 0.236 -4.807816 19.48566 + 700 | 4.651489 5.125604 0.91 0.364 -5.399395 14.70237 + 701 | 5.23328 5.429012 0.96 0.335 -5.412561 15.87912 + 703 | .7533129 5.007668 0.15 0.880 -9.066307 10.57293 + 704 | 4.256163 5.243746 0.81 0.417 -6.026387 14.53871 + 705 | 8.502511 5.684442 1.50 0.135 -2.644207 19.64923 + 707 | 18.45937 6.578002 2.81 0.005 5.560453 31.35828 + 708 | 3.516181 5.480347 0.64 0.521 -7.230323 14.26269 + 709 | 16.62264 5.118591 3.25 0.001 6.585507 26.65977 + 710 | 5.201696 5.167906 1.01 0.314 -4.932138 15.33553 + 711 | 11.47164 6.409415 1.79 0.074 -1.096688 24.03997 + 798 | 1.51911 5.67791 0.27 0.789 -9.6148 12.65302 + 799 | -1.802704 7.583358 -0.24 0.812 -16.67304 13.06763 + 800 | -1.516948 5.105391 -0.30 0.766 -11.5282 8.494299 + 801 | -1.320236 5.50949 -0.24 0.811 -12.12389 9.483415 + 802 | -1.608132 5.087127 -0.32 0.752 -11.58356 8.3673 + 803 | -1.234384 4.821342 -0.26 0.798 -10.68863 8.219866 + 805 | -1.091232 5.182581 -0.21 0.833 -11.25384 9.071377 + 806 | .9481465 4.923181 0.19 0.847 -8.705802 10.6021 + 807 | 1.186282 5.169321 0.23 0.819 -8.950326 11.32289 + 898 | 8.44374 7.337242 1.15 0.250 -5.94398 22.83146 + 899 | -1.782533 7.68742 -0.23 0.817 -16.85692 13.29186 + 1000 | -1.486936 5.373557 -0.28 0.782 -12.02403 9.050162 + 1001 | -2.045311 5.083784 -0.40 0.687 -12.01419 7.923567 + 1002 | .2140561 5.151336 0.04 0.967 -9.887285 10.3154 + 1003 | 2.643226 5.025803 0.53 0.599 -7.211955 12.49841 + 1005 | 7.142686 6.643162 1.08 0.282 -5.884001 20.16937 + 1006 | 4.044376 5.48723 0.74 0.461 -6.715626 14.80438 + 1007 | 1.475658 5.100182 0.29 0.772 -8.525375 11.47669 + 1010 | .7639853 5.538098 0.14 0.890 -10.09576 11.62373 + 1098 | -7.795287 5.455477 -1.43 0.153 -18.49302 2.902449 + 1099 | 1.680368 7.409408 0.23 0.821 -12.84886 16.2096 + 1200 | 10.15139 7.970177 1.27 0.203 -5.477463 25.78025 + 1201 | 3.904476 5.598568 0.70 0.486 -7.07385 14.8828 + 1202 | .7307655 5.823982 0.13 0.900 -10.68958 12.15111 + 1203 | .0816386 5.00987 0.02 0.987 -9.7423 9.905578 + 1204 | .5390557 5.118549 0.11 0.916 -9.497994 10.57611 + 1205 | .4030751 5.303036 0.08 0.939 -9.995738 10.80189 + 1206 | 2.414987 6.003917 0.40 0.688 -9.358195 14.18817 + 1207 | 4.04879 5.439561 0.74 0.457 -6.617737 14.71532 + 1208 | 7.436442 4.987864 1.49 0.136 -2.344345 17.21723 + 1209 | 6.195885 4.94668 1.25 0.210 -3.504142 15.89591 + 1210 | 3.558865 5.280937 0.67 0.500 -6.796613 13.91434 + 1211 | 6.095588 6.20012 0.98 0.326 -6.062331 18.25351 + 1299 | 14.24333 11.97028 1.19 0.234 -9.229392 37.71606 + 1300 | 12.78244 6.978845 1.83 0.067 -.9024987 26.46737 + 1301 | 8.593063 5.324609 1.61 0.107 -1.848053 19.03418 + 1302 | -2.808 4.901515 -0.57 0.567 -12.41946 6.803462 + 1303 | 6.723102 5.307173 1.27 0.205 -3.683823 17.13003 + 1304 | 9.761874 5.48858 1.78 0.075 -1.000775 20.52452 + 1305 | 3.678298 5.876415 0.63 0.531 -7.844862 15.20146 + 1399 | 20.81357 20.41105 1.02 0.308 -19.2108 60.83795 + 1400 | 3.10014 5.343724 0.58 0.562 -7.378458 13.57874 + 1401 | 4.652057 5.129374 0.91 0.365 -5.406219 14.71033 + 1403 | 8.454811 6.172456 1.37 0.171 -3.648862 20.55848 + 1404 | 7.683239 8.993682 0.85 0.393 -9.952624 25.3191 + 1405 | .1930517 5.154859 0.04 0.970 -9.915197 10.3013 + 1406 | 6.041826 5.507193 1.10 0.273 -4.757321 16.84097 + 1407 | 4.300574 5.404458 0.80 0.426 -6.297119 14.89827 + 1408 | -2.110885 5.42056 -0.39 0.697 -12.74015 8.518382 + 1409 | 18.29226 7.244925 2.52 0.012 4.085563 32.49895 + 1410 | .1455675 5.125354 0.03 0.977 -9.904825 10.19596 + 1499 | -2.372545 5.473848 -0.43 0.665 -13.10631 8.361216 + 1500 | 3.183344 7.70941 0.41 0.680 -11.93417 18.30085 + 1501 | 1.497401 4.927185 0.30 0.761 -8.164398 11.1592 + 1502 | 3.572686 5.191534 0.69 0.491 -6.607481 13.75285 + 1504 | 8.285419 5.586381 1.48 0.138 -2.669009 19.23985 + 1505 | -.4333145 5.05328 -0.09 0.932 -10.34238 9.475748 + 1507 | -4.114901 5.409531 -0.76 0.447 -14.72254 6.492739 + 1520 | -.3199441 5.182176 -0.06 0.951 -10.48176 9.841872 + 1521 | 2.362857 4.829767 0.49 0.625 -7.107913 11.83363 + 1522 | -2.659583 5.017646 -0.53 0.596 -12.49877 7.179603 + 1523 | 1.093198 4.823242 0.23 0.821 -8.364779 10.55117 + 1524 | 17.41502 13.94605 1.25 0.212 -9.932016 44.76205 + 1525 | 6.715863 5.003741 1.34 0.180 -3.096057 16.52778 + 1526 | -1.534555 5.190084 -0.30 0.768 -11.71188 8.642768 + 1599 | 8.92343 6.877983 1.30 0.195 -4.563723 22.41058 + 1600 | -4.265187 5.005651 -0.85 0.394 -14.08085 5.550477 + 1602 | 10.64729 9.518853 1.12 0.263 -8.018393 29.31296 + 1603 | -12.76551 7.427909 -1.72 0.086 -27.33102 1.8 + 1604 | -8.596978 4.989079 -1.72 0.085 -18.38015 1.18619 + 1605 | 4.559749 5.995698 0.76 0.447 -7.197316 16.31681 + 1606 | 4.549519 6.981656 0.65 0.515 -9.140927 18.23997 + 1608 | 4.910654 4.92625 1.00 0.319 -4.749312 14.57062 + 1609 | 9.08058 5.246028 1.73 0.084 -1.206444 19.3676 + 1610 | 1.039862 6.037761 0.17 0.863 -10.79968 12.87941 + 1611 | -7.834507 4.901616 -1.60 0.110 -17.44617 1.777154 + 1612 | 4.04597 5.371657 0.75 0.451 -6.487403 14.57934 + 1614 | -.8046849 5.670344 -0.14 0.887 -11.92376 10.31439 + 1615 | 1.515186 5.278524 0.29 0.774 -8.835561 11.86593 + 1616 | -5.161174 4.99074 -1.03 0.301 -14.9476 4.625251 + 1617 | -7.027561 5.264886 -1.33 0.182 -17.35156 3.296444 + 1619 | -.9336744 6.190993 -0.15 0.880 -13.0737 11.20635 + 1620 | -.3958763 6.343244 -0.06 0.950 -12.83445 12.0427 + 1698 | -8.524994 5.397459 -1.58 0.114 -19.10896 2.058974 + 1699 | 27.26238 7.918389 3.44 0.001 11.73508 42.78968 + 1700 | 5.310468 6.364784 0.83 0.404 -7.170343 17.79128 + 1701 | -2.089787 5.270959 -0.40 0.692 -12.4257 8.246124 + 1704 | -2.560673 7.290186 -0.35 0.725 -16.85612 11.73477 + 1705 | 1.612304 7.522699 0.21 0.830 -13.13908 16.36369 + 1706 | 1.132406 5.179792 0.22 0.827 -9.024735 11.28955 + 1707 | 4.027478 5.111808 0.79 0.431 -5.996353 14.05131 + 1708 | 2.474225 5.698221 0.43 0.664 -8.699512 13.64796 + 1709 | -.0602017 5.249678 -0.01 0.991 -10.35438 10.23398 + 1798 | 10.84886 7.600285 1.43 0.154 -4.054665 25.75239 + 1799 | 6.239759 9.29787 0.67 0.502 -11.99259 24.47211 + 1800 | .1827205 5.609932 0.03 0.974 -10.81789 11.18333 + 1802 | 2.650086 5.233069 0.51 0.613 -7.611526 12.9117 + 1803 | 1.945483 5.398735 0.36 0.719 -8.640986 12.53195 + 1804 | -1.658095 5.317736 -0.31 0.755 -12.08573 8.769544 + 1806 | 1.561216 5.720936 0.27 0.785 -9.657064 12.7795 + 1807 | -8.560294 4.755534 -1.80 0.072 -17.8855 .7649119 + 1808 | 13.18017 13.65924 0.96 0.335 -13.60445 39.96479 + 1899 | 31.83767 22.22019 1.43 0.152 -11.73427 75.40961 + 1900 | 1.067733 5.482775 0.19 0.846 -9.683533 11.819 + 1901 | 13.56999 5.626141 2.41 0.016 2.537595 24.60238 + 1902 | 5.397797 6.302699 0.86 0.392 -6.96127 17.75686 + 1905 | 24.74981 7.935515 3.12 0.002 9.188931 40.3107 + 1906 | 5.504825 5.579138 0.99 0.324 -5.4354 16.44505 + 1907 | 6.214656 8.551647 0.73 0.467 -10.55441 22.98372 + 1908 | 1.709384 7.24307 0.24 0.813 -12.49367 15.91244 + 1909 | -2.479395 6.9585 -0.36 0.722 -16.12443 11.16565 + 1910 | -3.583316 6.131544 -0.58 0.559 -15.60676 8.440133 + 1911 | 16.50394 9.739867 1.69 0.090 -2.595129 35.60301 + 1912 | -.6681483 16.87422 -0.04 0.968 -33.7571 32.4208 + 1914 | 10.41061 6.293239 1.65 0.098 -1.929906 22.75113 + 1915 | -4.587517 5.441953 -0.84 0.399 -15.25873 6.0837 + 1919 | 3.040544 8.356071 0.36 0.716 -13.34502 19.4261 + 1920 | 13.71847 7.420413 1.85 0.065 -.8323399 28.26928 + 1925 | 15.43599 6.282625 2.46 0.014 3.116287 27.7557 + 1926 | 16.07048 7.402052 2.17 0.030 1.555667 30.58528 + 1927 | 1.014101 5.802834 0.17 0.861 -10.36477 12.39298 + 1929 | .0110084 6.020198 0.00 0.999 -11.7941 11.81612 + 1999 | 6.266196 14.84377 0.42 0.673 -22.8412 35.37359 + 2000 | -1.987831 5.106872 -0.39 0.697 -12.00198 8.02632 + 2001 | 3.336026 5.915089 0.56 0.573 -8.262971 14.93502 + 2002 | 1.14725 5.357784 0.21 0.830 -9.358918 11.65342 + 2003 | 23.8753 7.541344 3.17 0.002 9.087356 38.66325 + 2004 | 10.42921 5.221845 2.00 0.046 .1896078 20.66882 + 2005 | -4.675506 5.574844 -0.84 0.402 -15.60731 6.2563 + 2006 | 78.33703 9.18881 8.53 0.000 60.31854 96.35553 + 2007 | -.571639 5.40303 -0.11 0.916 -11.16653 10.02325 + 2008 | 3.02236 4.782521 0.63 0.527 -6.355766 12.40049 + 2009 | 10.39619 9.898486 1.05 0.294 -9.013921 29.80629 + 2010 | -17.27909 4.922623 -3.51 0.000 -26.93194 -7.626236 + 2011 | -1.662185 5.131641 -0.32 0.746 -11.7249 8.400536 + 2012 | 1.942638 5.186621 0.37 0.708 -8.227893 12.11317 + 2013 | 5.757896 5.347777 1.08 0.282 -4.72865 16.24444 + 2014 | 5.397453 7.278249 0.74 0.458 -8.874587 19.66949 + 2015 | 1.026874 5.476451 0.19 0.851 -9.71199 11.76574 + 2030 | 21.49926 8.572167 2.51 0.012 4.689958 38.30857 + 2099 | 20.4929 9.417576 2.18 0.030 2.02582 38.95998 + 2100 | -1.731568 5.63537 -0.31 0.759 -12.78206 9.318923 + 2101 | 2.29615 4.881896 0.47 0.638 -7.276843 11.86914 + 2102 | .6981279 5.092091 0.14 0.891 -9.28704 10.6833 + 2103 | 3.78414 4.884316 0.77 0.439 -5.793598 13.36188 + 2104 | -4.150732 4.799325 -0.86 0.387 -13.56181 5.260345 + 2105 | 12.5359 9.913619 1.26 0.206 -6.903883 31.97568 + 2199 | -11.2938 5.142356 -2.20 0.028 -21.37753 -1.210069 + 9999 | 27.87831 12.55596 2.22 0.026 3.257106 52.49951 + | + house_administration | 4.739399 2.341078 2.02 0.043 .1487393 9.330058 + house_agriculture | 1.694104 1.130512 1.50 0.134 -.5227367 3.910944 + house_appropriations | -5.561027 1.779449 -3.13 0.002 -9.050379 -2.071675 + house_armedservices | 4.23512 1.484783 2.85 0.004 1.323585 7.146655 + house_budget | .5397949 2.2675 0.24 0.812 -3.906583 4.986173 + house_dc | -12.73776 5.296102 -2.41 0.016 -23.12298 -2.352547 + house_educlabor | 5.134955 .9406915 5.46 0.000 3.290338 6.979573 + house_energycommerce | 3.622499 .7191509 5.04 0.000 2.212304 5.032695 + house_foreignaffairs | 4.35396 1.612319 2.70 0.007 1.192337 7.515583 + house_governmentop | 2.897418 1.994175 1.45 0.146 -1.012994 6.80783 + house_intelligence | 7.994915 6.569968 1.22 0.224 -4.888245 20.87807 + house_interior | -2.167936 1.486161 -1.46 0.145 -5.082174 .7463027 + house_judiciary | 2.854911 .804076 3.55 0.000 1.278185 4.431638 + house_mmf | -.1377319 1.789919 -0.08 0.939 -3.647615 3.372151 + house_pocs | 3.055192 2.390898 1.28 0.201 -1.63316 7.743544 + house_pwt | 1.933797 1.372464 1.41 0.159 -.7574897 4.625084 + house_rules | 3.416778 1.931305 1.77 0.077 -.3703496 7.203906 + house_sst | 4.816915 2.124797 2.27 0.023 .6503655 8.983464 + house_smallbusi | -4.028399 1.436807 -2.80 0.005 -6.845859 -1.210939 + house_soc | 2.16536 11.0114 0.20 0.844 -19.42708 23.7578 + house_veterans | 2.150174 1.70136 1.26 0.206 -1.186051 5.4864 + house_waysandmeans | 2.412837 .703097 3.43 0.001 1.034122 3.791552 +house_naturalresources | -2.212697 1.309285 -1.69 0.091 -4.780095 .3547016 + house_bfs | 1.480039 1.110646 1.33 0.183 -.6978458 3.657924 + house_eeo | -2.200233 1.81538 -1.21 0.226 -5.760041 1.359575 + house_govreform | 6.341897 1.462251 4.34 0.000 3.474544 9.209251 + house_ir | 3.370423 1.719719 1.96 0.050 -.0018032 6.74265 + house_natsecur | 9.459147 3.514254 2.69 0.007 2.567988 16.35031 + house_oversight | -3.019685 1.805764 -1.67 0.095 -6.560639 .5212686 + house_resources | .4948847 1.372155 0.36 0.718 -2.195798 3.185567 + house_science | -2.330184 1.381449 -1.69 0.092 -5.039091 .3787226 + house_transp | .1147603 .9674251 0.12 0.906 -1.78228 2.0118 + house_homeland | -2.119359 1.620689 -1.31 0.191 -5.297395 1.058677 + sponsor_democrat | 0 (omitted) + sponsor_rookie | -4.485942 .8441234 -5.31 0.000 -6.141197 -2.830686 + sponsor_tenure_run | .3114421 .0975754 3.19 0.001 .1201048 .5027793 + sponsor_age | -.032966 .0324616 -1.02 0.310 -.0966205 .0306884 + leader | 3.183807 .9070892 3.51 0.000 1.405081 4.962533 + ivycoll | -1.327439 .716547 -1.85 0.064 -2.732528 .07765 + black | -2.277714 1.321499 -1.72 0.085 -4.869063 .3136348 + occ0 | .0735883 .8789647 0.08 0.933 -1.649988 1.797165 + occ1 | .7776173 .9197094 0.85 0.398 -1.025856 2.581091 + occ2 | -1.442828 .7697924 -1.87 0.061 -2.952327 .0666707 + occ3 | -2.693008 1.037679 -2.60 0.010 -4.727811 -.6582052 + occ4 | -2.617088 1.028903 -2.54 0.011 -4.634681 -.5994936 + borninstate | 1.820669 .5105259 3.57 0.000 .8195706 2.821768 + tot_bills | -.2259842 .0167956 -13.45 0.000 -.2589191 -.1930494 + NE | -1.045507 .891432 -1.17 0.241 -2.793531 .7025167 + MW | -.1005639 .8395311 -0.12 0.905 -1.746815 1.545687 + WE | 2.390264 .9100404 2.63 0.009 .60575 4.174777 + pct_black | 6.407044 3.00462 2.13 0.033 .5152334 12.29885 + pct_urban | 2.928534 1.833994 1.60 0.110 -.6677751 6.524842 + pct_for_born | -.6931859 3.811824 -0.18 0.856 -8.167856 6.781484 + pct_age_over65 | 20.09633 8.518404 2.36 0.018 3.392444 36.80021 + lninc | 6.600237 1.555885 4.24 0.000 3.549276 9.651198 + lnpden | -.3008166 .2866151 -1.05 0.294 -.862845 .2612119 + _cons | -55.4011 15.59534 -3.55 0.000 -85.98226 -24.81994 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,492 1 0 1 1 +reg numb_cosponsors sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 +> borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if sponsor_party==200 & tag_bill==1, robust cluster(group_sponsor) +note: sponsor_democrat omitted because of collinearity + +Linear regression Number of obs = 27,671 + F(289, 2243) = . + Prob > F = . + R-squared = 0.1023 + Root MSE = 34.299 + + (Std. Err. adjusted for 2,244 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 3.149329 1.016937 3.10 0.002 1.155093 5.143564 + | + v2 | + 102 | -.366301 1.453026 -0.25 0.801 -3.215717 2.483115 + 103 | -2.694304 1.898106 -1.42 0.156 -6.416531 1.027923 + 104 | -.54476 1.89863 -0.29 0.774 -4.268015 3.178495 + 105 | .7473155 1.907994 0.39 0.695 -2.994304 4.488935 + 106 | 1.649048 1.950248 0.85 0.398 -2.175432 5.473528 + 107 | 1.825943 1.898643 0.96 0.336 -1.897338 5.549225 + 108 | .7360685 4.462373 0.16 0.869 -8.014745 9.486882 + 109 | 1.108289 4.403028 0.25 0.801 -7.526146 9.742724 + 110 | -3.331971 4.407453 -0.76 0.450 -11.97508 5.311142 + 111 | -4.454701 4.485186 -0.99 0.321 -13.25025 4.340848 + | + minor | + 101 | -5.231199 4.258446 -1.23 0.219 -13.58211 3.119708 + 103 | 6.649528 10.94396 0.61 0.544 -14.81182 28.11087 + 104 | 3.540276 4.681571 0.76 0.450 -5.640389 12.72094 + 105 | 11.56173 6.440166 1.80 0.073 -1.067579 24.19104 + 107 | 10.363 3.623101 2.86 0.004 3.258016 17.46798 + 108 | -.5834882 4.673814 -0.12 0.901 -9.748941 8.581965 + 110 | 10.72439 17.03352 0.63 0.529 -22.67872 44.1275 + 200 | 8.614763 4.870247 1.77 0.077 -.9358985 18.16542 + 201 | 1.359159 7.182085 0.19 0.850 -12.72507 15.44339 + 202 | 19.09888 9.91387 1.93 0.054 -.3424396 38.5402 + 204 | 6.861669 4.719675 1.45 0.146 -2.393718 16.11706 + 205 | 27.9254 17.91702 1.56 0.119 -7.210283 63.06108 + 206 | 21.94452 7.21354 3.04 0.002 7.798603 36.09043 + 207 | 24.89958 5.469596 4.55 0.000 14.17358 35.62558 + 208 | 7.228386 4.279353 1.69 0.091 -1.16352 15.62029 + 209 | -8.857844 3.714367 -2.38 0.017 -16.1418 -1.573888 + 299 | 71.8403 17.61486 4.08 0.000 37.29717 106.3834 + 300 | 7.14324 5.74241 1.24 0.214 -4.117753 18.40423 + 301 | 8.702174 4.535893 1.92 0.055 -.1928117 17.59716 + 302 | 11.98014 3.960244 3.03 0.003 4.214018 19.74627 + 321 | 12.58257 4.866652 2.59 0.010 3.038955 22.12618 + 322 | 4.497609 4.17944 1.08 0.282 -3.698366 12.69358 + 323 | 13.1105 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house_foreignaffairs | 2.776469 1.579821 1.76 0.079 -.3215947 5.874532 + house_governmentop | 7.382414 2.826813 2.61 0.009 1.83897 12.92586 + house_intelligence | 4.16046 6.078589 0.68 0.494 -7.759787 16.08071 + house_interior | .2462083 1.321566 0.19 0.852 -2.345411 2.837828 + house_judiciary | 3.377844 .8856123 3.81 0.000 1.641139 5.114549 + house_mmf | 2.021063 1.764864 1.15 0.252 -1.439875 5.482001 + house_pocs | 2.418155 2.348959 1.03 0.303 -2.188205 7.024516 + house_pwt | 2.093211 1.579725 1.33 0.185 -1.004665 5.191086 + house_rules | 3.020529 1.749766 1.73 0.084 -.4108017 6.451859 + house_sst | 5.726048 4.74648 1.21 0.228 -3.581905 15.034 + house_smallbusi | -4.778817 1.941034 -2.46 0.014 -8.585228 -.9724053 + house_soc | -9.487443 3.752041 -2.53 0.012 -16.84528 -2.129608 + house_veterans | .8439014 1.849227 0.46 0.648 -2.782474 4.470276 + house_waysandmeans | 3.554749 .8256085 4.31 0.000 1.935713 5.173786 +house_naturalresources | 2.102596 1.160187 1.81 0.070 -.1725571 4.37775 + house_bfs | .5938978 1.31744 0.45 0.652 -1.989631 3.177427 + house_eeo | 1.884249 3.379196 0.56 0.577 -4.742429 8.510926 + house_govreform | 1.224244 1.29373 0.95 0.344 -1.31279 3.761278 + house_ir | 5.091383 1.710333 2.98 0.003 1.737381 8.445384 + house_natsecur | 8.734774 4.186228 2.09 0.037 .5254875 16.94406 + house_oversight | 3.880402 1.850259 2.10 0.036 .252003 7.508801 + house_resources | -1.288657 .974708 -1.32 0.186 -3.200081 .6227674 + house_science | .5370465 1.807722 0.30 0.766 -3.007937 4.08203 + house_transp | 3.135238 1.176517 2.66 0.008 .8280627 5.442413 + house_homeland | -.6739551 1.856113 -0.36 0.717 -4.313833 2.965923 + sponsor_democrat | 0 (omitted) + sponsor_rookie | -3.309314 .7161983 -4.62 0.000 -4.713794 -1.904833 + sponsor_tenure_run | -.1110933 .1295576 -0.86 0.391 -.3651585 .142972 + sponsor_age | .0221986 .0343541 0.65 0.518 -.0451706 .0895677 + leader | -.6280339 .7731875 -0.81 0.417 -2.144272 .8882041 + ivycoll | .3679238 1.02939 0.36 0.721 -1.650732 2.38658 + black | -4.89474 4.674182 -1.05 0.295 -14.06091 4.271435 + occ0 | 4.993681 .9692716 5.15 0.000 3.092918 6.894444 + occ1 | 3.385615 1.14487 2.96 0.003 1.140499 5.630731 + occ2 | 2.965044 .8069981 3.67 0.000 1.382503 4.547585 + occ3 | -.2617949 1.215622 -0.22 0.830 -2.645656 2.122066 + occ4 | 3.97791 .7855374 5.06 0.000 2.437453 5.518366 + borninstate | 1.051511 .5707856 1.84 0.066 -.0678117 2.170835 + tot_bills | -.0861305 .0408051 -2.11 0.035 -.1661502 -.0061108 + NE | -2.986619 .906211 -3.30 0.001 -4.763719 -1.20952 + MW | -.6973532 .8549906 -0.82 0.415 -2.374009 .9793024 + WE | -1.68059 .9605451 -1.75 0.080 -3.56424 .20306 + pct_black | -3.527919 4.066552 -0.87 0.386 -11.50252 4.446681 + pct_urban | 1.639248 2.017054 0.81 0.416 -2.31624 5.594737 + pct_for_born | 4.581741 6.342354 0.72 0.470 -7.855756 17.01924 + pct_age_over65 | 12.44734 7.366209 1.69 0.091 -1.997957 26.89264 + lninc | 5.464503 2.236113 2.44 0.015 1.079436 9.84957 + lnpden | -.1420975 .2769919 -0.51 0.608 -.6852848 .4010899 + _cons | -53.25225 22.24689 -2.39 0.017 -96.8789 -9.6256 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,244 1 0 1 1 +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(62,331 observations deleted) +(15 missing values generated) +(3 real changes made) +(3 real changes made) +(16 missing values generated) +(2 real changes made) +(1 real change made) +(15 missing values generated) +(3 real changes made) +(3 real changes made) +(17 missing values generated) +(1 real change made) +(0 real changes made) +(16 missing values generated) +(2 real changes made) +(1 real change made) +(5 real changes made) +(5 real changes made) +(5 real changes made) +file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/Table3a_numb_cosponsors_OLS.xls saved +reg pct_cosponsors_opposite sponsor_female i.v2 if tag_bill==1, robust cluster(group_sponsor) + +Linear regression Number of obs = 61,331 + F(11, 4790) = 6.20 + Prob > F = 0.0000 + R-squared = 0.0045 + Root MSE = 21.241 + + (Std. Err. adjusted for 4,791 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust +pct_cosponso~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -1.538868 .6261924 -2.46 0.014 -2.766492 -.3112428 + | + v2 | + 102 | -2.20573 .7617891 -2.90 0.004 -3.699186 -.7122734 + 103 | -2.538473 .7160321 -3.55 0.000 -3.942225 -1.134721 + 104 | -1.424029 .8144483 -1.75 0.080 -3.020722 .1726634 + 105 | -.9077974 .9175863 -0.99 0.323 -2.706688 .8910932 + 106 | .4541628 .8823622 0.51 0.607 -1.275672 2.183998 + 107 | -.0800645 .8902878 -0.09 0.928 -1.825438 1.665308 + 108 | .4391099 .9129256 0.48 0.631 -1.350644 2.228863 + 109 | -1.365566 .8307903 -1.64 0.100 -2.994296 .2631651 + 110 | -2.665952 .7143424 -3.73 0.000 -4.066391 -1.265512 + 111 | -3.383197 .7267962 -4.65 0.000 -4.808051 -1.958343 + | + _cons | 16.47658 .5358527 30.75 0.000 15.42607 17.5271 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,791 1 0 1 1 +reg pct_cosponsors_opposite sponsor_female i.v2 if sponsor_party==100 & tag_bill==1, robust cluster(group_sponsor) + +Linear regression Number of obs = 33,042 + F(11, 2504) = 16.80 + Prob > F = 0.0000 + R-squared = 0.0140 + Root MSE = 17.957 + + (Std. Err. adjusted for 2,505 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust +pct_cosponso~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -2.995661 .4170312 -7.18 0.000 -3.813422 -2.177899 + | + v2 | + 102 | -2.060254 .7338577 -2.81 0.005 -3.499284 -.6212234 + 103 | -1.564967 .7253768 -2.16 0.031 -2.987367 -.1425675 + 104 | -3.06178 .8946678 -3.42 0.001 -4.816145 -1.307416 + 105 | -3.974214 .8868077 -4.48 0.000 -5.713166 -2.235262 + 106 | -3.723313 .7713763 -4.83 0.000 -5.235914 -2.210712 + 107 | -3.752389 .7881633 -4.76 0.000 -5.297908 -2.20687 + 108 | -4.708463 .7539979 -6.24 0.000 -6.186986 -3.229939 + 109 | -5.623871 .7276814 -7.73 0.000 -7.05079 -4.196952 + 110 | -.3687719 .7801443 -0.47 0.636 -1.898566 1.161022 + 111 | -1.866319 .778191 -2.40 0.017 -3.392283 -.340355 + | + _cons | 14.69182 .5216038 28.17 0.000 13.669 15.71464 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,505 1 0 1 1 +reg pct_cosponsors_opposite sponsor_female i.v2 if sponsor_party==200 & tag_bill==1, robust cluster(group_sponsor) + +Linear regression Number of obs = 28,116 + F(11, 2272) = 13.00 + Prob > F = 0.0000 + R-squared = 0.0190 + Root MSE = 23.776 + + (Std. Err. adjusted for 2,273 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust +pct_cosponso~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | 5.847218 1.177337 4.97 0.000 3.53845 8.155986 + | + v2 | + 102 | -1.952551 1.535308 -1.27 0.204 -4.963304 1.058202 + 103 | -4.047858 1.375942 -2.94 0.003 -6.746093 -1.349624 + 104 | -1.989428 1.299328 -1.53 0.126 -4.537421 .558566 + 105 | -.3903491 1.434911 -0.27 0.786 -3.204222 2.423524 + 106 | 1.524079 1.364306 1.12 0.264 -1.151336 4.199494 + 107 | 1.382485 1.408352 0.98 0.326 -1.379306 4.144275 + 108 | 3.231103 1.415313 2.28 0.023 .455662 6.006543 + 109 | -.2073638 1.328814 -0.16 0.876 -2.813179 2.398451 + 110 | -6.586431 1.302714 -5.06 0.000 -9.141064 -4.031797 + 111 | -5.499335 1.375713 -4.00 0.000 -8.197119 -2.80155 + | + _cons | 19.23944 1.059923 18.15 0.000 17.16092 21.31796 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,273 1 0 1 1 +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* if tag_bill==1, robust cluster(group_sponsor) + +Linear regression Number of obs = 61,331 + F(268, 4790) = . + Prob > F = . + R-squared = 0.0670 + Root MSE = 20.607 + + (Std. Err. adjusted for 4,791 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -1.999987 .5941258 -3.37 0.001 -3.164746 -.8352274 + | + v2 | + 102 | -1.683644 .770266 -2.19 0.029 -3.193719 -.173569 + 103 | -2.30769 .7303496 -3.16 0.002 -3.739511 -.8758693 + 104 | -1.643068 .8397238 -1.96 0.050 -3.289312 .0031765 + 105 | -.7896566 .9357275 -0.84 0.399 -2.624112 1.044799 + 106 | .542334 .8978559 0.60 0.546 -1.217876 2.302544 + 107 | .238691 .8895457 0.27 0.788 -1.505227 1.982609 + 108 | -.0859406 .924211 -0.09 0.926 -1.897819 1.725938 + 109 | -.7429035 .8415244 -0.88 0.377 -2.392678 .9068709 + 110 | -2.048907 .7311707 -2.80 0.005 -3.482337 -.6154764 + 111 | -3.649454 .758794 -4.81 0.000 -5.137039 -2.161869 + | + minor | + 101 | -.7086674 3.854019 -0.18 0.854 -8.264316 6.846981 + 103 | -3.544048 4.007159 -0.88 0.377 -11.39992 4.311825 + 104 | -.1481332 2.748993 -0.05 0.957 -5.537422 5.241156 + 105 | 1.17951 2.141127 0.55 0.582 -3.018083 5.377104 + 107 | 1.136394 1.927402 0.59 0.555 -2.642199 4.914988 + 108 | 4.362544 3.247517 1.34 0.179 -2.00408 10.72917 + 110 | -6.606604 2.226069 -2.97 0.003 -10.97072 -2.242486 + 200 | -.7562584 2.188618 -0.35 0.730 -5.046954 3.534438 + 201 | -6.342785 2.426923 -2.61 0.009 -11.10067 -1.584901 + 202 | 2.331909 2.978434 0.78 0.434 -3.507188 8.171007 + 204 | 14.22007 4.356474 3.26 0.001 5.679384 22.76077 + 205 | 9.574502 3.854214 2.48 0.013 2.018472 17.13053 + 206 | -5.34971 2.306064 -2.32 0.020 -9.870656 -.8287649 + 207 | 1.801009 2.266998 0.79 0.427 -2.643349 6.245367 + 208 | 3.175487 2.198419 1.44 0.149 -1.134423 7.485398 + 209 | -8.028588 2.158825 -3.72 0.000 -12.26088 -3.796298 + 299 | 3.156847 3.40383 0.93 0.354 -3.516223 9.829918 + 300 | 5.606322 2.522246 2.22 0.026 .6615607 10.55108 + 301 | 3.890055 2.121241 1.83 0.067 -.2685517 8.048661 + 302 | 4.298117 1.994897 2.15 0.031 .3872025 8.209031 + 321 | 7.339132 2.224901 3.30 0.001 2.977305 11.70096 + 322 | 9.542546 2.217221 4.30 0.000 5.195775 13.88932 + 323 | 9.804484 2.298005 4.27 0.000 5.299339 14.30963 + 324 | -.9598862 2.32313 -0.41 0.679 -5.514289 3.594516 + 325 | 9.932969 2.276945 4.36 0.000 5.469111 14.39683 + 331 | 12.9144 2.273099 5.68 0.000 8.458085 17.37072 + 332 | 7.534212 2.221187 3.39 0.001 3.179664 11.88876 + 333 | 7.476204 2.632975 2.84 0.005 2.314364 12.63804 + 334 | 8.764261 2.214466 3.96 0.000 4.42289 13.10563 + 335 | .862141 2.330888 0.37 0.711 -3.70747 5.431752 + 336 | 12.308 2.339785 5.26 0.000 7.720946 16.89505 + 341 | 7.344485 2.797789 2.63 0.009 1.859533 12.82944 + 342 | 8.465308 5.06036 1.67 0.094 -1.455321 18.38594 + 343 | 3.876568 2.889102 1.34 0.180 -1.787399 9.540536 + 344 | 3.67782 4.175535 0.88 0.378 -4.508146 11.86379 + 398 | 14.3497 2.298709 6.24 0.000 9.843174 18.85622 + 399 | 6.694127 3.172685 2.11 0.035 .4742061 12.91405 + 400 | 3.558555 2.782948 1.28 0.201 -1.897301 9.014411 + 401 | 8.247177 2.681027 3.08 0.002 2.991133 13.50322 + 402 | 7.386252 2.139656 3.45 0.001 3.191544 11.58096 + 403 | .9947292 2.238518 0.44 0.657 -3.393795 5.383253 + 404 | 8.498757 2.979545 2.85 0.004 2.657481 14.34003 + 405 | 16.77271 3.537491 4.74 0.000 9.837605 23.70782 + 498 | 9.261861 3.405785 2.72 0.007 2.584959 15.93876 + 499 | 5.293221 3.426541 1.54 0.122 -1.424373 12.01081 + 500 | 1.661809 3.264872 0.51 0.611 -4.738839 8.062457 + 501 | 2.038613 2.274365 0.90 0.370 -2.420187 6.497413 + 502 | 2.062484 2.259348 0.91 0.361 -2.366876 6.491843 + 503 | 1.137587 1.943969 0.59 0.558 -2.673485 4.94866 + 504 | -3.302205 2.14697 -1.54 0.124 -7.511253 .9068432 + 505 | 1.40998 2.298332 0.61 0.540 -3.095808 5.915767 + 506 | 1.353788 2.684654 0.50 0.614 -3.909368 6.616944 + 508 | 1.437083 2.247318 0.64 0.523 -2.968692 5.842858 + 529 | 10.1789 3.686491 2.76 0.006 2.951684 17.40612 + 530 | 2.548611 2.001673 1.27 0.203 -1.375588 6.47281 + 599 | -.0320218 3.368562 -0.01 0.992 -6.635951 6.571908 + 600 | .7208229 2.229817 0.32 0.747 -3.650642 5.092288 + 601 | 6.15758 1.988468 3.10 0.002 2.259269 10.05589 + 602 | 3.489817 2.046646 1.71 0.088 -.5225479 7.502183 + 603 | 2.442677 2.427436 1.01 0.314 -2.316213 7.201566 + 604 | 7.405218 3.499257 2.12 0.034 .5450662 14.26537 + 606 | 5.893327 2.857558 2.06 0.039 .2912013 11.49545 + 607 | 5.989674 2.262647 2.65 0.008 1.553846 10.4255 + 609 | 7.510906 3.506071 2.14 0.032 .6373964 14.38442 + 698 | 2.541267 4.897726 0.52 0.604 -7.060527 12.14306 + 699 | 2.078429 2.838035 0.73 0.464 -3.485422 7.642281 + 700 | 6.350981 2.393349 2.65 0.008 1.658917 11.04304 + 701 | 4.922806 2.313729 2.13 0.033 .3868337 9.458778 + 703 | 6.011385 2.318376 2.59 0.010 1.466303 10.55647 + 704 | 3.4022 2.159463 1.58 0.115 -.831339 7.635739 + 705 | 2.600175 2.236237 1.16 0.245 -1.783878 6.984227 + 707 | 5.931715 2.632779 2.25 0.024 .7702581 11.09317 + 708 | -1.620731 2.765259 -0.59 0.558 -7.041908 3.800446 + 709 | 8.772099 2.124066 4.13 0.000 4.607954 12.93624 + 710 | 9.180541 2.26412 4.05 0.000 4.741826 13.61926 + 711 | 8.704505 2.566009 3.39 0.001 3.673949 13.73506 + 798 | 7.529408 3.29917 2.28 0.023 1.06152 13.9973 + 799 | 6.232846 3.963861 1.57 0.116 -1.538141 14.00383 + 800 | 1.444321 2.388286 0.60 0.545 -3.237817 6.126459 + 801 | 5.44135 2.687089 2.02 0.043 .1734209 10.70928 + 802 | 5.328001 2.283955 2.33 0.020 .8504005 9.805602 + 803 | 2.785756 2.072287 1.34 0.179 -1.276879 6.848392 + 805 | 7.152875 3.275955 2.18 0.029 .7304977 13.57525 + 806 | 7.759464 2.174188 3.57 0.000 3.497057 12.02187 + 807 | 7.857816 2.444003 3.22 0.001 3.066447 12.64918 + 898 | 3.770219 3.646203 1.03 0.301 -3.378014 10.91845 + 899 | -2.363666 4.876431 -0.48 0.628 -11.92371 7.196379 + 1000 | 6.593795 2.657957 2.48 0.013 1.382978 11.80461 + 1001 | 9.555883 3.212886 2.97 0.003 3.257151 15.85462 + 1002 | 7.145998 2.301183 3.11 0.002 2.634623 11.65737 + 1003 | 7.860036 2.099347 3.74 0.000 3.744351 11.97572 + 1005 | 6.575032 2.617284 2.51 0.012 1.443953 11.70611 + 1006 | 8.067485 2.33788 3.45 0.001 3.484167 12.6508 + 1007 | 7.323965 2.278888 3.21 0.001 2.856298 11.79163 + 1010 | 1.105078 3.323987 0.33 0.740 -5.411463 7.621619 + 1098 | 1.454467 4.178742 0.35 0.728 -6.737786 9.64672 + 1099 | 5.735453 7.384609 0.78 0.437 -8.741773 20.21268 + 1200 | 3.258038 2.987498 1.09 0.276 -2.59883 9.114907 + 1201 | 7.127681 2.364922 3.01 0.003 2.491347 11.76401 + 1202 | 8.635869 2.880749 3.00 0.003 2.988278 14.28346 + 1203 | 2.816208 2.182722 1.29 0.197 -1.46293 7.095346 + 1204 | 5.397557 2.260104 2.39 0.017 .9667161 9.828398 + 1205 | 4.412358 2.47639 1.78 0.075 -.4425038 9.26722 + 1206 | 2.572535 2.551344 1.01 0.313 -2.429272 7.574341 + 1207 | 6.806223 2.323081 2.93 0.003 2.251917 11.36053 + 1208 | 6.435473 2.13103 3.02 0.003 2.257675 10.61327 + 1209 | 3.421916 2.058039 1.66 0.096 -.6127864 7.456618 + 1210 | 2.735456 2.197169 1.24 0.213 -1.572005 7.042917 + 1211 | 4.004139 2.555124 1.57 0.117 -1.005079 9.013356 + 1299 | 4.898315 3.877135 1.26 0.207 -2.70265 12.49928 + 1300 | 2.451667 2.665558 0.92 0.358 -2.774052 7.677385 + 1301 | 4.221646 2.486651 1.70 0.090 -.6533321 9.096624 + 1302 | .090833 2.330872 0.04 0.969 -4.478747 4.660413 + 1303 | 1.450817 2.162738 0.67 0.502 -2.789143 5.690777 + 1304 | 6.839436 2.407685 2.84 0.005 2.119268 11.5596 + 1305 | 7.46501 2.735186 2.73 0.006 2.102788 12.82723 + 1399 | 4.818722 5.033093 0.96 0.338 -5.048453 14.6859 + 1400 | 4.718762 2.309219 2.04 0.041 .1916313 9.245893 + 1401 | 6.875942 2.52209 2.73 0.006 1.931488 11.8204 + 1403 | 6.695697 3.143019 2.13 0.033 .5339356 12.85746 + 1404 | 4.068895 3.907463 1.04 0.298 -3.591528 11.72932 + 1405 | 7.347179 2.638553 2.78 0.005 2.174403 12.51996 + 1406 | 2.089556 2.25261 0.93 0.354 -2.326595 6.505706 + 1407 | 10.5068 3.024479 3.47 0.001 4.577436 16.43617 + 1408 | 1.164484 3.253183 0.36 0.720 -5.21325 7.542217 + 1409 | 10.60673 3.596837 2.95 0.003 3.555274 17.65818 + 1410 | 7.844562 2.807368 2.79 0.005 2.340832 13.34829 + 1499 | 3.284713 4.355197 0.75 0.451 -5.253474 11.8229 + 1500 | 3.842077 2.788479 1.38 0.168 -1.624622 9.308777 + 1501 | 5.453408 2.080716 2.62 0.009 1.374249 9.532567 + 1502 | 5.396312 2.149113 2.51 0.012 1.183063 9.609561 + 1504 | 3.668155 2.150941 1.71 0.088 -.5486764 7.884987 + 1505 | 10.01701 2.611975 3.84 0.000 4.896335 15.13768 + 1507 | 6.443732 2.688517 2.40 0.017 1.173003 11.71446 + 1520 | 2.763823 2.355548 1.17 0.241 -1.854134 7.381779 + 1521 | 5.253799 2.114454 2.48 0.013 1.108498 9.3991 + 1522 | 16.71257 2.632977 6.35 0.000 11.55072 21.87441 + 1523 | 5.409299 2.099967 2.58 0.010 1.292398 9.5262 + 1524 | 14.33395 4.339368 3.30 0.001 5.826791 22.8411 + 1525 | 2.294606 2.117003 1.08 0.278 -1.855692 6.444904 + 1526 | 10.27951 2.569545 4.00 0.000 5.242021 15.317 + 1599 | 10.4866 3.319427 3.16 0.002 3.979 16.9942 + 1600 | 7.651184 2.553834 3.00 0.003 2.644497 12.65787 + 1602 | .1606251 3.186433 0.05 0.960 -6.086248 6.407498 + 1603 | .1648516 2.95505 0.06 0.956 -5.628404 5.958108 + 1604 | 7.827539 4.36048 1.80 0.073 -.7210049 16.37608 + 1605 | 2.170501 2.72316 0.80 0.425 -3.168143 7.509144 + 1606 | 9.029972 3.592142 2.51 0.012 1.987723 16.07222 + 1608 | 7.977888 2.041041 3.91 0.000 3.976509 11.97927 + 1609 | 9.004829 2.103552 4.28 0.000 4.880901 13.12876 + 1610 | 5.206415 3.017701 1.73 0.085 -.709666 11.1225 + 1611 | 3.590475 2.588418 1.39 0.165 -1.484014 8.664964 + 1612 | 7.434346 2.512016 2.96 0.003 2.509641 12.35905 + 1614 | 3.521292 3.529188 1.00 0.318 -3.397538 10.44012 + 1615 | 5.66969 2.45896 2.31 0.021 .8489983 10.49038 + 1616 | 3.902981 2.476688 1.58 0.115 -.9524657 8.758428 + 1617 | 3.39337 3.124707 1.09 0.278 -2.732491 9.519231 + 1619 | -.0578829 2.515015 -0.02 0.982 -4.988468 4.872702 + 1620 | 7.692344 3.860301 1.99 0.046 .1243815 15.26031 + 1698 | 11.68244 4.576395 2.55 0.011 2.710606 20.65428 + 1699 | 11.21319 2.455914 4.57 0.000 6.398466 16.02791 + 1700 | 8.301522 3.461197 2.40 0.017 1.515987 15.08706 + 1701 | 8.024458 2.879788 2.79 0.005 2.37875 13.67017 + 1704 | 14.96538 4.056631 3.69 0.000 7.012519 22.91824 + 1705 | 4.940829 4.49026 1.10 0.271 -3.862144 13.7438 + 1706 | 8.398748 2.332399 3.60 0.000 3.826175 12.97132 + 1707 | 7.552388 2.284301 3.31 0.001 3.07411 12.03067 + 1708 | 12.22974 3.183898 3.84 0.000 5.987843 18.47165 + 1709 | 13.50841 2.538433 5.32 0.000 8.531918 18.48491 + 1798 | 9.106671 2.83263 3.21 0.001 3.553415 14.65993 + 1799 | 3.056241 5.130902 0.60 0.551 -7.002684 13.11517 + 1800 | 2.096034 2.576183 0.81 0.416 -2.954467 7.146536 + 1802 | 6.686065 2.32907 2.87 0.004 2.120019 11.25211 + 1803 | 3.804595 2.413277 1.58 0.115 -.9265365 8.535726 + 1804 | 5.611691 2.925132 1.92 0.055 -.1229117 11.34629 + 1806 | 4.25828 2.882928 1.48 0.140 -1.393583 9.910143 + 1807 | -6.852153 1.92071 -3.57 0.000 -10.61763 -3.086678 + 1808 | 1.824838 4.999018 0.37 0.715 -7.975533 11.62521 + 1899 | 1.432537 5.918381 0.24 0.809 -10.17021 13.03528 + 1900 | 5.387791 2.878531 1.87 0.061 -.2554525 11.03103 + 1901 | 4.20195 2.26495 1.86 0.064 -.2383921 8.642292 + 1902 | 10.59694 2.928333 3.62 0.000 4.85606 16.33781 + 1905 | 6.54213 3.261697 2.01 0.045 .1477047 12.93656 + 1906 | 6.361462 2.675349 2.38 0.017 1.116549 11.60638 + 1907 | 13.73596 4.143843 3.31 0.001 5.612124 21.8598 + 1908 | 9.575826 4.356912 2.20 0.028 1.034277 18.11738 + 1909 | 17.10128 5.117404 3.34 0.001 7.068814 27.13374 + 1910 | 8.536348 5.605174 1.52 0.128 -2.452368 19.52506 + 1911 | 2.755811 3.630765 0.76 0.448 -4.362156 9.873777 + 1912 | -10.01436 2.470519 -4.05 0.000 -14.85771 -5.171009 + 1914 | 1.260271 2.839219 0.44 0.657 -4.305903 6.826444 + 1915 | 16.79578 6.073942 2.77 0.006 4.888061 28.70349 + 1919 | 11.42113 3.593553 3.18 0.001 4.376112 18.46614 + 1920 | 6.561839 2.599043 2.52 0.012 1.466521 11.65716 + 1925 | 9.568177 3.1359 3.05 0.002 3.420372 15.71598 + 1926 | 1.179364 2.802025 0.42 0.674 -4.313893 6.67262 + 1927 | 4.369853 2.672943 1.63 0.102 -.8703435 9.61005 + 1929 | 5.032986 2.654328 1.90 0.058 -.170715 10.23669 + 1999 | 5.280667 7.740141 0.68 0.495 -9.893565 20.4549 + 2000 | 1.340041 2.057857 0.65 0.515 -2.694303 5.374386 + 2001 | 2.801133 2.297463 1.22 0.223 -1.702951 7.305217 + 2002 | 1.443938 2.116531 0.68 0.495 -2.705435 5.593311 + 2003 | 5.883076 2.397706 2.45 0.014 1.182471 10.58368 + 2004 | 8.047531 2.062361 3.90 0.000 4.004356 12.09071 + 2005 | 10.22242 4.54333 2.25 0.024 1.315404 19.12943 + 2006 | 18.85491 2.197164 8.58 0.000 14.54746 23.16236 + 2007 | -1.695816 2.292731 -0.74 0.460 -6.190623 2.79899 + 2008 | 15.77232 2.014777 7.83 0.000 11.82244 19.72221 + 2009 | 3.274208 3.051733 1.07 0.283 -2.708591 9.257006 + 2010 | -8.029227 2.004358 -4.01 0.000 -11.95869 -4.099765 + 2011 | 2.097233 2.088789 1.00 0.315 -1.997754 6.19222 + 2012 | -.4712579 2.042083 -0.23 0.818 -4.474679 3.532163 + 2013 | .4186968 3.576973 0.12 0.907 -6.593813 7.431206 + 2014 | 4.773989 2.783029 1.72 0.086 -.682027 10.23001 + 2015 | 5.505377 3.326607 1.65 0.098 -1.016301 12.02706 + 2030 | 2.954144 3.290842 0.90 0.369 -3.497417 9.405706 + 2099 | 8.015949 2.894331 2.77 0.006 2.341731 13.69017 + 2100 | .2228018 2.486615 0.09 0.929 -4.652105 5.097709 + 2101 | 8.228894 2.021697 4.07 0.000 4.265438 12.19235 + 2102 | 7.115055 2.087604 3.41 0.001 3.022393 11.20772 + 2103 | 3.399143 2.014092 1.69 0.092 -.5494039 7.347689 + 2104 | 4.159904 2.068542 2.01 0.044 .1046111 8.215198 + 2105 | 9.366456 3.646193 2.57 0.010 2.218242 16.51467 + 2199 | 3.295574 7.270519 0.45 0.650 -10.95798 17.54913 + 9999 | 1.626953 2.646271 0.61 0.539 -3.560954 6.814859 + | + house_administration | -1.141387 .7873844 -1.45 0.147 -2.685022 .4022485 + house_agriculture | 1.494467 .5894547 2.54 0.011 .3388646 2.650069 + house_appropriations | -9.195375 .9276556 -9.91 0.000 -11.01401 -7.376744 + house_armedservices | -1.134526 .5573368 -2.04 0.042 -2.227162 -.04189 + house_budget | -1.718552 .9102099 -1.89 0.059 -3.502981 .065878 + house_dc | -3.676595 3.036747 -1.21 0.226 -9.630014 2.276824 + house_educlabor | -3.04358 .4250398 -7.16 0.000 -3.876853 -2.210306 + house_energycommerce | .0790422 .3631542 0.22 0.828 -.6329069 .7909914 + house_foreignaffairs | 1.964848 .8926447 2.20 0.028 .2148545 3.714842 + house_governmentop | -.1136962 .8731479 -0.13 0.896 -1.825467 1.598075 + house_intelligence | -1.680561 1.864019 -0.90 0.367 -5.334894 1.973773 + house_interior | -2.091877 .9127564 -2.29 0.022 -3.881298 -.3024547 + house_judiciary | .1563981 .3774166 0.41 0.679 -.5835118 .896308 + house_mmf | 3.360577 1.12521 2.99 0.003 1.154648 5.566507 + house_pocs | 1.271753 .9196708 1.38 0.167 -.5312246 3.07473 + house_pwt | .2908771 .8544599 0.34 0.734 -1.384257 1.966011 + house_rules | -1.333372 .7373229 -1.81 0.071 -2.778863 .11212 + house_sst | 1.016697 1.629916 0.62 0.533 -2.178686 4.212081 + house_smallbusi | -1.549468 1.549513 -1.00 0.317 -4.587225 1.488288 + house_soc | 1.178148 4.064565 0.29 0.772 -6.790267 9.146563 + house_veterans | 1.544583 .7843949 1.97 0.049 .0068086 3.082357 + house_waysandmeans | .3036034 .3532926 0.86 0.390 -.3890125 .9962192 +house_naturalresources | -1.709877 .7608108 -2.25 0.025 -3.201415 -.218338 + house_bfs | -1.614267 .5007319 -3.22 0.001 -2.595931 -.6326021 + house_eeo | -3.762519 1.166851 -3.22 0.001 -6.050083 -1.474955 + house_govreform | 2.428189 .6109139 3.97 0.000 1.230518 3.625861 + house_ir | 3.594095 1.000269 3.59 0.000 1.633108 5.555083 + house_natsecur | -.0119006 1.279447 -0.01 0.993 -2.520204 2.496403 + house_oversight | -.7479626 .8026216 -0.93 0.351 -2.32147 .8255444 + house_resources | -2.880374 .6657521 -4.33 0.000 -4.185554 -1.575194 + house_science | 1.472097 1.021011 1.44 0.149 -.5295536 3.473748 + house_transp | -.036455 .6329588 -0.06 0.954 -1.277345 1.204435 + house_homeland | -.1607556 1.079402 -0.15 0.882 -2.276879 1.955368 + _cons | 11.92172 1.958181 6.09 0.000 8.082789 15.76066 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,791 1 0 1 1 +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* if sponsor_party==100 & tag_bill==1, robust cluster(group_sponsor) + +Linear regression Number of obs = 33,042 + F(268, 2504) = . + Prob > F = . + R-squared = 0.0813 + Root MSE = 17.401 + + (Std. Err. adjusted for 2,505 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -2.560191 .4048216 -6.32 0.000 -3.354011 -1.766372 + | + v2 | + 102 | -1.834126 .676892 -2.71 0.007 -3.161452 -.5068007 + 103 | -1.446837 .6944351 -2.08 0.037 -2.808563 -.0851113 + 104 | -4.002663 .910209 -4.40 0.000 -5.787502 -2.217823 + 105 | -4.247098 .8219231 -5.17 0.000 -5.858816 -2.635379 + 106 | -3.990002 .7365905 -5.42 0.000 -5.434391 -2.545613 + 107 | -4.068943 .7564039 -5.38 0.000 -5.552184 -2.585702 + 108 | -5.452281 .7010631 -7.78 0.000 -6.827004 -4.077558 + 109 | -5.625934 .6898149 -8.16 0.000 -6.9786 -4.273267 + 110 | .3650725 .7577966 0.48 0.630 -1.1209 1.851045 + 111 | -1.677068 .7597757 -2.21 0.027 -3.166921 -.1872146 + | + minor | + 101 | -7.112523 4.080131 -1.74 0.081 -15.1133 .8882553 + 103 | -9.000689 3.055356 -2.95 0.003 -14.99197 -3.009404 + 104 | -2.028303 4.73848 -0.43 0.669 -11.32004 7.263439 + 105 | -3.310601 3.094854 -1.07 0.285 -9.379337 2.758135 + 107 | -1.100911 2.853282 -0.39 0.700 -6.695945 4.494122 + 108 | 1.897845 4.023322 0.47 0.637 -5.991534 9.787224 + 110 | -12.52401 3.014085 -4.16 0.000 -18.43436 -6.61365 + 200 | -5.372568 3.085438 -1.74 0.082 -11.42284 .6777042 + 201 | -11.16248 2.944279 -3.79 0.000 -16.93595 -5.389009 + 202 | -7.542194 2.903596 -2.60 0.009 -13.23589 -1.848498 + 204 | 2.634787 4.801438 0.55 0.583 -6.780411 12.04998 + 205 | 1.949643 4.28553 0.45 0.649 -6.453904 10.35319 + 206 | -11.48117 2.964964 -3.87 0.000 -17.2952 -5.667136 + 207 | .4709876 3.358914 0.14 0.888 -6.115546 7.057522 + 208 | -2.471177 3.04313 -0.81 0.417 -8.438486 3.496132 + 209 | -11.70212 2.831999 -4.13 0.000 -17.25542 -6.148815 + 299 | -4.545462 6.726112 -0.68 0.499 -17.73478 8.643851 + 300 | -3.223122 3.130874 -1.03 0.303 -9.362489 2.916245 + 301 | -1.917377 2.980107 -0.64 0.520 -7.761104 3.926351 + 302 | -1.414018 2.880969 -0.49 0.624 -7.063344 4.235308 + 321 | -1.028849 3.025986 -0.34 0.734 -6.962541 4.904843 + 322 | -1.302814 2.982224 -0.44 0.662 -7.150693 4.545064 + 323 | 2.678377 3.124852 0.86 0.391 -3.449181 8.805936 + 324 | -4.689576 3.25022 -1.44 0.149 -11.06297 1.683819 + 325 | .4121525 2.993937 0.14 0.891 -5.458695 6.283 + 331 | .9134972 2.932781 0.31 0.755 -4.837429 6.664423 + 332 | -2.238311 2.900845 -0.77 0.440 -7.926612 3.44999 + 333 | -2.230357 2.991529 -0.75 0.456 -8.096482 3.635768 + 334 | .2797856 2.940996 0.10 0.924 -5.487248 6.046819 + 335 | -6.196005 2.90207 -2.14 0.033 -11.88671 -.5053016 + 336 | 2.639495 3.046406 0.87 0.386 -3.334238 8.613229 + 341 | -1.760789 3.185991 -0.55 0.581 -8.008237 4.486658 + 342 | -.1316879 4.264073 -0.03 0.975 -8.49316 8.229784 + 343 | -2.490928 3.414248 -0.73 0.466 -9.185967 4.204112 + 344 | -4.840873 3.655345 -1.32 0.186 -12.00868 2.326937 + 398 | 2.552751 2.967491 0.86 0.390 -3.266238 8.371739 + 399 | -.8826739 3.593936 -0.25 0.806 -7.930065 6.164717 + 400 | -1.630177 3.688281 -0.44 0.659 -8.862571 5.602217 + 401 | 4.593181 3.961137 1.16 0.246 -3.174259 12.36062 + 402 | 2.903193 3.120018 0.93 0.352 -3.214886 9.021272 + 403 | -2.413976 3.09404 -0.78 0.435 -8.481116 3.653164 + 404 | 2.626904 4.234386 0.62 0.535 -5.676354 10.93016 + 405 | 12.91209 4.643483 2.78 0.005 3.806634 22.01756 + 498 | 5.352229 5.089477 1.05 0.293 -4.627787 15.33225 + 499 | 1.860393 5.360668 0.35 0.729 -8.651403 12.37219 + 500 | -7.702941 3.196373 -2.41 0.016 -13.97075 -1.435136 + 501 | -3.434497 3.13141 -1.10 0.273 -9.574915 2.705922 + 502 | -4.843194 3.030297 -1.60 0.110 -10.78534 1.098951 + 503 | -3.529922 2.831666 -1.25 0.213 -9.082568 2.022725 + 504 | -5.606608 3.029839 -1.85 0.064 -11.54786 .334639 + 505 | -1.296632 3.344019 -0.39 0.698 -7.853958 5.260693 + 506 | -5.59667 3.131858 -1.79 0.074 -11.73797 .5446268 + 508 | -5.016229 2.919073 -1.72 0.086 -10.74027 .7078164 + 529 | 10.49239 6.052553 1.73 0.083 -1.376135 22.36091 + 530 | -3.651973 2.912594 -1.25 0.210 -9.363314 2.059367 + 599 | -3.860547 4.012053 -0.96 0.336 -11.72783 4.006735 + 600 | -3.536263 3.115982 -1.13 0.257 -9.64643 2.573903 + 601 | -.5586094 2.85727 -0.20 0.845 -6.161464 5.044245 + 602 | -3.691781 2.842984 -1.30 0.194 -9.266623 1.883061 + 603 | -4.402165 2.997272 -1.47 0.142 -10.27955 1.47522 + 604 | -.4363641 4.278564 -0.10 0.919 -8.826251 7.953523 + 606 | -.3941906 3.357121 -0.12 0.907 -6.977208 6.188827 + 607 | -2.593669 2.924863 -0.89 0.375 -8.329068 3.14173 + 609 | -1.105668 3.801364 -0.29 0.771 -8.559808 6.348472 + 698 | 3.282467 5.419426 0.61 0.545 -7.34455 13.90948 + 699 | -1.666959 3.323709 -0.50 0.616 -8.184459 4.85054 + 700 | -.9576463 3.216736 -0.30 0.766 -7.265381 5.350089 + 701 | -2.239513 3.119893 -0.72 0.473 -8.357347 3.878321 + 703 | -.1950638 3.200855 -0.06 0.951 -6.471659 6.081531 + 704 | -2.540489 2.99912 -0.85 0.397 -8.421498 3.34052 + 705 | -.4092543 3.278279 -0.12 0.901 -6.837671 6.019162 + 707 | -.0355167 3.236884 -0.01 0.991 -6.382762 6.311728 + 708 | -7.277903 3.067312 -2.37 0.018 -13.29263 -1.263175 + 709 | 3.307076 2.994292 1.10 0.269 -2.564468 9.17862 + 710 | 1.207777 3.186804 0.38 0.705 -5.041265 7.45682 + 711 | -.5580333 3.338527 -0.17 0.867 -7.104591 5.988524 + 798 | -3.881298 3.556814 -1.09 0.275 -10.8559 3.093301 + 799 | -1.389013 5.24094 -0.27 0.791 -11.66604 8.888009 + 800 | -4.031571 3.159252 -1.28 0.202 -10.22659 2.163443 + 801 | 1.84089 3.741986 0.49 0.623 -5.496814 9.178595 + 802 | 2.344876 3.260788 0.72 0.472 -4.049242 8.738995 + 803 | -2.008022 3.019873 -0.66 0.506 -7.929727 3.913683 + 805 | 5.881389 4.822441 1.22 0.223 -3.574993 15.33777 + 806 | 3.742021 3.094891 1.21 0.227 -2.326788 9.81083 + 807 | -.8694841 3.269011 -0.27 0.790 -7.279726 5.540758 + 898 | 2.342768 4.501346 0.52 0.603 -6.483975 11.16951 + 899 | -9.270205 3.794138 -2.44 0.015 -16.71018 -1.830234 + 1000 | .7947469 3.676134 0.22 0.829 -6.413828 8.003322 + 1001 | -4.858663 3.519342 -1.38 0.168 -11.75978 2.042456 + 1002 | .6714775 3.382847 0.20 0.843 -5.961987 7.304942 + 1003 | 2.566374 3.075134 0.83 0.404 -3.463692 8.596441 + 1005 | 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1602 | -1.789063 3.824148 -0.47 0.640 -9.28788 5.709754 + 1603 | -7.740553 3.618554 -2.14 0.033 -14.83622 -.6448888 + 1604 | 5.461837 6.177953 0.88 0.377 -6.652584 17.57626 + 1605 | -1.661852 3.534344 -0.47 0.638 -8.592389 5.268685 + 1606 | 3.593017 4.293035 0.84 0.403 -4.825247 12.01128 + 1608 | .9864975 2.90931 0.34 0.735 -4.718403 6.691398 + 1609 | -.0719082 2.943302 -0.02 0.981 -5.843463 5.699647 + 1610 | .0656535 3.67066 0.02 0.986 -7.132187 7.263494 + 1611 | -1.028732 3.6149 -0.28 0.776 -8.117232 6.059768 + 1612 | .3016447 3.303557 0.09 0.927 -6.17634 6.779629 + 1614 | 1.093722 4.341796 0.25 0.801 -7.420156 9.6076 + 1615 | .4477361 3.388463 0.13 0.895 -6.196741 7.092213 + 1616 | .0412465 3.458295 0.01 0.990 -6.740166 6.822659 + 1617 | -1.794399 3.845093 -0.47 0.641 -9.334287 5.745488 + 1619 | -6.854279 3.218475 -2.13 0.033 -13.16542 -.5431336 + 1620 | 3.555388 4.904208 0.72 0.469 -6.061331 13.17211 + 1698 | 7.854736 7.031778 1.12 0.264 -5.93396 21.64343 + 1699 | 5.950737 3.346481 1.78 0.075 -.6114175 12.51289 + 1700 | 5.532349 4.336021 1.28 0.202 -2.970207 14.0349 + 1701 | 4.722887 3.615237 1.31 0.192 -2.366274 11.81205 + 1704 | 19.17795 8.101038 2.37 0.018 3.292527 35.06337 + 1705 | 1.502854 5.623673 0.27 0.789 -9.524672 12.53038 + 1706 | 2.357176 3.231385 0.73 0.466 -3.979284 8.693637 + 1707 | 1.945437 3.075351 0.63 0.527 -4.085055 7.975928 + 1708 | 7.176524 3.980473 1.80 0.072 -.6288329 14.98188 + 1709 | 5.671179 3.576048 1.59 0.113 -1.341137 12.68349 + 1798 | .2154778 3.576418 0.06 0.952 -6.797562 7.228518 + 1799 | -2.206048 6.349316 -0.35 0.728 -14.6565 10.2444 + 1800 | -3.710973 3.467808 -1.07 0.285 -10.51104 3.089093 + 1802 | -.8352181 3.165265 -0.26 0.792 -7.042024 5.371588 + 1803 | -.1120059 3.287182 -0.03 0.973 -6.55788 6.333869 + 1804 | -1.656018 3.862993 -0.43 0.668 -9.231007 5.91897 + 1806 | 3.491317 3.970679 0.88 0.379 -4.294836 11.27747 + 1807 | -9.404398 2.848721 -3.30 0.001 -14.99049 -3.818306 + 1808 | 10.01604 9.002306 1.11 0.266 -7.636686 27.66877 + 1899 | 1.837898 8.03259 0.23 0.819 -13.9133 17.5891 + 1900 | .833042 3.809765 0.22 0.827 -6.63757 8.303654 + 1901 | .6125136 3.054351 0.20 0.841 -5.3768 6.601827 + 1902 | 2.87857 3.692233 0.78 0.436 -4.361573 10.11871 + 1905 | -1.39939 3.360021 -0.42 0.677 -7.988095 5.189314 + 1906 | -.0670078 3.264149 -0.02 0.984 -6.467717 6.333701 + 1907 | 7.14342 5.554094 1.29 0.199 -3.747668 18.03451 + 1908 | 4.299462 5.001885 0.86 0.390 -5.508793 14.10772 + 1909 | 4.832013 5.27165 0.92 0.359 -5.505229 15.16925 + 1910 | -5.847473 3.57293 -1.64 0.102 -12.85367 1.158727 + 1911 | -2.57783 3.497371 -0.74 0.461 -9.435867 4.280207 + 1912 | -11.48873 3.494894 -3.29 0.001 -18.3419 -4.635546 + 1914 | -6.761794 3.283779 -2.06 0.040 -13.20099 -.3225937 + 1915 | 16.57463 5.200084 3.19 0.001 6.377721 26.77154 + 1919 | 6.509928 5.730823 1.14 0.256 -4.72771 17.74757 + 1920 | 3.299647 3.354154 0.98 0.325 -3.277553 9.876847 + 1925 | -2.654934 3.154355 -0.84 0.400 -8.840345 3.530477 + 1926 | 2.03484 3.976255 0.51 0.609 -5.762246 9.831926 + 1927 | 1.962598 4.009018 0.49 0.624 -5.898733 9.823929 + 1929 | .6335448 3.794572 0.17 0.867 -6.807275 8.074365 + 1999 | -2.214948 9.734338 -0.23 0.820 -21.30313 16.87323 + 2000 | -2.404486 3.041318 -0.79 0.429 -8.368243 3.559272 + 2001 | -.3039785 3.313695 -0.09 0.927 -6.801842 6.193885 + 2002 | -3.422214 3.20521 -1.07 0.286 -9.707348 2.862921 + 2003 | -1.076362 3.235603 -0.33 0.739 -7.421094 5.268369 + 2004 | 1.664977 2.933759 0.57 0.570 -4.087866 7.417819 + 2005 | 10.97849 6.204787 1.77 0.077 -1.188554 23.14552 + 2006 | 11.16024 3.0513 3.66 0.000 5.176906 17.14357 + 2007 | -4.892458 3.223692 -1.52 0.129 -11.21383 1.428917 + 2008 | 11.78748 2.936357 4.01 0.000 6.029538 17.54541 + 2009 | 3.606773 4.560517 0.79 0.429 -5.335998 12.54954 + 2010 | -15.34586 2.888305 -5.31 0.000 -21.00957 -9.682145 + 2011 | .7580924 3.199892 0.24 0.813 -5.516614 7.032799 + 2012 | -5.480008 2.986969 -1.83 0.067 -11.33719 .3771761 + 2013 | -2.227962 5.03911 -0.44 0.658 -12.10921 7.653288 + 2014 | 4.055955 4.053423 1.00 0.317 -3.89245 12.00436 + 2015 | -1.616303 4.161102 -0.39 0.698 -9.775857 6.543251 + 2030 | -1.721586 4.190614 -0.41 0.681 -9.939011 6.495839 + 2099 | 3.514999 3.757873 0.94 0.350 -3.85386 10.88386 + 2100 | -2.191896 3.72036 -0.59 0.556 -9.487194 5.103402 + 2101 | -.033418 2.913493 -0.01 0.991 -5.746522 5.679686 + 2102 | 1.24929 2.984436 0.42 0.676 -4.602925 7.101505 + 2103 | 1.592222 2.961152 0.54 0.591 -4.214335 7.398779 + 2104 | -.0173942 3.039264 -0.01 0.995 -5.977122 5.942334 + 2105 | -2.740084 5.29063 -0.52 0.605 -13.11454 7.634375 + 2199 | 4.178879 13.44288 0.31 0.756 -22.18142 30.53918 + 9999 | -1.528279 3.785956 -0.40 0.686 -8.952204 5.895646 + | + house_administration | .4082946 .8515332 0.48 0.632 -1.261487 2.078076 + house_agriculture | .8892819 .6851662 1.30 0.194 -.4542686 2.232832 + house_appropriations | -9.117127 .9640653 -9.46 0.000 -11.00757 -7.22668 + house_armedservices | -2.333147 .6055518 -3.85 0.000 -3.520581 -1.145713 + house_budget | -4.003896 1.186481 -3.37 0.001 -6.330481 -1.677312 + house_dc | -8.782002 3.168132 -2.77 0.006 -14.99443 -2.569574 + house_educlabor | -3.448674 .3691759 -9.34 0.000 -4.172595 -2.724753 + house_energycommerce | -1.129175 .394866 -2.86 0.004 -1.903472 -.3548773 + house_foreignaffairs | -.1822134 .8534104 -0.21 0.831 -1.855676 1.491249 + house_governmentop | .1253935 1.118286 0.11 0.911 -2.067466 2.318254 + house_intelligence | -.2288218 1.794384 -0.13 0.899 -3.74745 3.289807 + house_interior | -3.778059 .9908655 -3.81 0.000 -5.721059 -1.83506 + house_judiciary | 1.391263 .471269 2.95 0.003 .4671456 2.31538 + house_mmf | 4.609924 1.332708 3.46 0.001 1.996601 7.223247 + house_pocs | .1631556 1.026617 0.16 0.874 -1.84995 2.176261 + house_pwt | -.123538 1.000044 -0.12 0.902 -2.084537 1.837461 + house_rules | 1.251492 1.138981 1.10 0.272 -.9819494 3.484933 + house_sst | 2.250395 1.479666 1.52 0.128 -.6510991 5.151889 + house_smallbusi | -5.357096 1.332709 -4.02 0.000 -7.970421 -2.74377 + house_soc | 1.027015 5.363343 0.19 0.848 -9.490028 11.54406 + house_veterans | -.1046523 .6674117 -0.16 0.875 -1.413388 1.204083 + house_waysandmeans | .5994997 .3670697 1.63 0.103 -.1202915 1.319291 +house_naturalresources | -3.846789 .8624415 -4.46 0.000 -5.537961 -2.155617 + house_bfs | -2.457521 .5228797 -4.70 0.000 -3.482842 -1.4322 + house_eeo | -2.077822 1.200946 -1.73 0.084 -4.432771 .2771283 + house_govreform | 3.864619 .6985205 5.53 0.000 2.494882 5.234356 + house_ir | 1.916313 .9255576 2.07 0.039 .1013761 3.73125 + house_natsecur | 2.027619 1.540378 1.32 0.188 -.9929268 5.048164 + house_oversight | -3.192504 1.010066 -3.16 0.002 -5.173154 -1.211855 + house_resources | 2.090101 .8965484 2.33 0.020 .3320491 3.848154 + house_science | -.9225745 .9055786 -1.02 0.308 -2.698334 .8531853 + house_transp | -1.820245 .5818893 -3.13 0.002 -2.961278 -.6792113 + house_homeland | -.3710043 1.172803 -0.32 0.752 -2.670767 1.928759 + _cons | 16.14971 2.816545 5.73 0.000 10.62672 21.67271 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,505 1 0 1 1 +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* if sponsor_party==200 & tag_bill==1, robust cluster(group_sponsor) + +Linear regression Number of obs = 28,116 + F(267, 2272) = . + Prob > F = . + R-squared = 0.1483 + Root MSE = 22.256 + + (Std. Err. adjusted for 2,273 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 3.764972 .9671578 3.89 0.000 1.868367 5.661577 + | + v2 | + 102 | -.5753611 1.482185 -0.39 0.698 -3.481939 2.331216 + 103 | -3.345523 1.388921 -2.41 0.016 -6.069209 -.6218366 + 104 | -1.572394 1.345448 -1.17 0.243 -4.210829 1.066042 + 105 | .2073273 1.436826 0.14 0.885 -2.610301 3.024956 + 106 | 1.856472 1.374386 1.35 0.177 -.8387108 4.551655 + 107 | 2.300771 1.365549 1.68 0.092 -.3770826 4.978624 + 108 | 2.704089 1.42622 1.90 0.058 -.0927414 5.500919 + 109 | .7724756 1.343291 0.58 0.565 -1.86173 3.406681 + 110 | -5.931322 1.333568 -4.45 0.000 -8.54646 -3.316185 + 111 | -6.500553 1.452359 -4.48 0.000 -9.348642 -3.652463 + | + minor | + 101 | 6.274527 5.12019 1.23 0.221 -3.766209 16.31526 + 103 | 6.197764 8.641473 0.72 0.473 -10.74824 23.14377 + 104 | 2.694358 3.492624 0.77 0.441 -4.154708 9.543423 + 105 | 6.827532 2.911247 2.35 0.019 1.118551 12.53651 + 107 | 5.869603 2.674411 2.19 0.028 .625059 11.11415 + 108 | 12.91362 6.453638 2.00 0.046 .2579754 25.56926 + 110 | -2.434432 3.350317 -0.73 0.468 -9.004432 4.135568 + 200 | 5.75374 3.231138 1.78 0.075 -.5825499 12.09003 + 201 | 17.75816 15.08427 1.18 0.239 -11.82222 47.33853 + 202 | 25.9442 8.325916 3.12 0.002 9.61701 42.2714 + 204 | 23.90452 6.400435 3.73 0.000 11.35321 36.45583 + 205 | 17.41829 6.419227 2.71 0.007 4.830135 30.00645 + 206 | 5.014792 3.896801 1.29 0.198 -2.626869 12.65645 + 207 | 4.855148 3.016898 1.61 0.108 -1.061015 10.77131 + 208 | 9.344139 3.170141 2.95 0.003 3.127466 15.56081 + 209 | -6.093594 2.708353 -2.25 0.025 -11.4047 -.7824891 + 299 | 7.182356 3.900984 1.84 0.066 -.4675076 14.83222 + 300 | 16.26896 3.944875 4.12 0.000 8.533023 24.00489 + 301 | 12.73659 3.123902 4.08 0.000 6.610596 18.86259 + 302 | 11.41737 2.815367 4.06 0.000 5.896412 16.93833 + 321 | 18.8681 3.262475 5.78 0.000 12.47036 25.26585 + 322 | 23.29113 3.191784 7.30 0.000 17.03201 29.55025 + 323 | 18.39777 3.349806 5.49 0.000 11.82877 24.96677 + 324 | 3.695668 3.227273 1.15 0.252 -2.633042 10.02438 + 325 | 27.43749 3.537827 7.76 0.000 20.49978 34.37519 + 331 | 31.81099 3.476297 9.15 0.000 24.99394 38.62804 + 332 | 26.27482 3.775119 6.96 0.000 18.87178 33.67786 + 333 | 34.19116 5.770287 5.93 0.000 22.87558 45.50675 + 334 | 20.82715 3.436791 6.06 0.000 14.08757 27.56673 + 335 | 14.82804 3.97982 3.73 0.000 7.02358 22.6325 + 336 | 27.61595 3.669748 7.53 0.000 20.41955 34.81236 + 341 | 29.87471 5.511128 5.42 0.000 19.06734 40.68208 + 342 | 26.45596 6.7627 3.91 0.000 13.19425 39.71767 + 343 | 10.00864 4.693434 2.13 0.033 .8047739 19.2125 + 344 | 39.6695 10.82354 3.67 0.000 18.44444 60.89457 + 398 | 27.52917 3.410841 8.07 0.000 20.84048 34.21786 + 399 | 19.04184 5.187372 3.67 0.000 8.869356 29.21432 + 400 | 10.52858 4.14537 2.54 0.011 2.399472 18.65769 + 401 | 12.75378 3.602166 3.54 0.000 5.6899 19.81766 + 402 | 13.2466 2.987078 4.43 0.000 7.388913 19.10429 + 403 | 9.946754 3.692765 2.69 0.007 2.70521 17.1883 + 404 | 14.21476 4.019258 3.54 0.000 6.332955 22.09656 + 405 | 21.31343 5.421511 3.93 0.000 10.6818 31.94506 + 498 | 12.98365 4.650398 2.79 0.005 3.864177 22.10312 + 499 | 10.42279 4.276059 2.44 0.015 2.037402 18.80818 + 500 | 11.56895 5.310203 2.18 0.029 1.155601 21.98231 + 501 | 6.567606 3.635322 1.81 0.071 -.5612919 13.6965 + 502 | 11.3529 3.732951 3.04 0.002 4.032551 18.67325 + 503 | 8.255426 2.735542 3.02 0.003 2.891005 13.61985 + 504 | -2.260805 3.142016 -0.72 0.472 -8.422326 3.900716 + 505 | 3.046368 3.233905 0.94 0.346 -3.295349 9.388084 + 506 | 11.2959 5.322946 2.12 0.034 .8575621 21.73425 + 508 | 13.52484 4.006836 3.38 0.001 5.667397 21.38228 + 529 | 10.9427 4.703495 2.33 0.020 1.719107 20.1663 + 530 | 11.63004 2.804823 4.15 0.000 6.129753 17.13032 + 599 | 3.378117 5.896984 0.57 0.567 -8.185921 14.94215 + 600 | 4.351562 3.408709 1.28 0.202 -2.332946 11.03607 + 601 | 15.44474 2.844379 5.43 0.000 9.866891 21.0226 + 602 | 12.98431 3.098011 4.19 0.000 6.909087 19.05954 + 603 | 14.67702 4.93106 2.98 0.003 5.007171 24.34687 + 604 | 17.14733 5.848035 2.93 0.003 5.67928 28.61538 + 606 | 11.40156 4.611452 2.47 0.013 2.358462 20.44465 + 607 | 21.0472 3.755581 5.60 0.000 13.68248 28.41193 + 609 | 16.47403 5.732114 2.87 0.004 5.233304 27.71475 + 698 | .7726035 8.836186 0.09 0.930 -16.55523 18.10044 + 699 | 8.796415 5.912918 1.49 0.137 -2.798869 20.3917 + 700 | 15.01645 3.540096 4.24 0.000 8.074289 21.95861 + 701 | 12.56732 3.44116 3.65 0.000 5.819177 19.31547 + 703 | 13.62508 3.545228 3.84 0.000 6.672858 20.5773 + 704 | 10.0727 3.21374 3.13 0.002 3.77053 16.37487 + 705 | 4.125641 3.172189 1.30 0.194 -2.095048 10.34633 + 707 | 22.37592 6.276863 3.56 0.000 10.06693 34.6849 + 708 | 14.9143 7.155133 2.08 0.037 .8830217 28.94558 + 709 | 15.89846 3.083467 5.16 0.000 9.851755 21.94517 + 710 | 17.86712 3.26047 5.48 0.000 11.47331 24.26093 + 711 | 17.6194 3.651101 4.83 0.000 10.45956 24.77924 + 798 | 20.07705 5.346574 3.76 0.000 9.59237 30.56172 + 799 | 14.75122 5.404612 2.73 0.006 4.152729 25.34971 + 800 | 7.360454 3.738603 1.97 0.049 .0290208 14.69189 + 801 | 9.520575 3.795434 2.51 0.012 2.077696 16.96345 + 802 | 7.784594 3.252359 2.39 0.017 1.406689 14.1625 + 803 | 8.958538 2.903586 3.09 0.002 3.26458 14.6525 + 805 | 7.205026 4.551088 1.58 0.114 -1.719697 16.12975 + 806 | 12.56136 3.180517 3.95 0.000 6.324339 18.79838 + 807 | 17.91066 3.828471 4.68 0.000 10.403 25.41833 + 898 | 4.49158 6.055591 0.74 0.458 -7.383486 16.36665 + 899 | 3.429039 9.386034 0.37 0.715 -14.97705 21.83513 + 1000 | 11.61473 3.82386 3.04 0.002 4.116105 19.11335 + 1001 | 25.86929 4.381427 5.90 0.000 17.27728 34.46131 + 1002 | 13.4084 3.106576 4.32 0.000 7.316374 19.50042 + 1003 | 14.20841 2.955249 4.81 0.000 8.413146 20.00368 + 1005 | 14.4508 4.096397 3.53 0.000 6.417733 22.48387 + 1006 | 16.70011 3.351081 4.98 0.000 10.12861 23.27161 + 1007 | 14.03737 3.204041 4.38 0.000 7.75422 20.32053 + 1010 | 16.88214 6.977991 2.42 0.016 3.198239 30.56604 + 1098 | 6.265935 6.679466 0.94 0.348 -6.832556 19.36443 + 1099 | 6.372363 9.95046 0.64 0.522 -13.14058 25.8853 + 1200 | 12.73173 4.573499 2.78 0.005 3.763057 21.7004 + 1201 | 17.97247 3.5138 5.11 0.000 11.08187 24.86306 + 1202 | 13.66297 3.98046 3.43 0.001 5.857248 21.46868 + 1203 | 5.216168 3.014089 1.73 0.084 -.694487 11.12682 + 1204 | 9.027248 2.982036 3.03 0.002 3.17945 14.87505 + 1205 | 10.5975 3.400275 3.12 0.002 3.929532 17.26547 + 1206 | 11.93567 4.17822 2.86 0.004 3.742147 20.1292 + 1207 | 13.44268 3.205626 4.19 0.000 7.156419 19.72894 + 1208 | 19.6579 3.15612 6.23 0.000 13.46873 25.84708 + 1209 | 18.71657 2.946116 6.35 0.000 12.93921 24.49393 + 1210 | 9.889998 2.97309 3.33 0.001 4.059742 15.72025 + 1211 | 16.40553 3.957996 4.14 0.000 8.643865 24.16719 + 1299 | 17.28792 6.603191 2.62 0.009 4.339005 30.23683 + 1300 | 7.179762 4.228407 1.70 0.090 -1.11218 15.4717 + 1301 | 22.56143 5.104912 4.42 0.000 12.55065 32.57221 + 1302 | 9.793017 4.144011 2.36 0.018 1.666576 17.91946 + 1303 | 9.605421 3.288401 2.92 0.004 3.156838 16.054 + 1304 | 19.52703 3.938396 4.96 0.000 11.8038 27.25026 + 1305 | 19.13638 4.874702 3.93 0.000 9.577043 28.69571 + 1399 | 12.96749 8.155442 1.59 0.112 -3.025405 28.96038 + 1400 | 12.03641 3.665549 3.28 0.001 4.848242 19.22459 + 1401 | 17.54433 3.979289 4.41 0.000 9.740908 25.34775 + 1403 | 27.50858 6.82731 4.03 0.000 14.12017 40.89699 + 1404 | 11.02712 5.807959 1.90 0.058 -.3623356 22.41658 + 1405 | 15.34213 4.433856 3.46 0.001 6.647299 24.03696 + 1406 | 15.25065 3.820401 3.99 0.000 7.758809 22.74249 + 1407 | 27.27478 4.99533 5.46 0.000 17.47889 37.07066 + 1408 | 5.730208 5.838601 0.98 0.326 -5.71934 17.17976 + 1409 | 22.5825 5.844971 3.86 0.000 11.12046 34.04454 + 1410 | 16.93741 3.906203 4.34 0.000 9.277313 24.59751 + 1499 | 12.64649 6.587174 1.92 0.055 -.2710158 25.56399 + 1500 | 8.045268 3.974339 2.02 0.043 .2515554 15.83898 + 1501 | 12.83565 2.997614 4.28 0.000 6.9573 18.71399 + 1502 | 10.32594 2.98971 3.45 0.001 4.463092 16.18879 + 1504 | 13.71553 3.28439 4.18 0.000 7.274815 20.15625 + 1505 | 21.60883 3.695783 5.85 0.000 14.36137 28.85629 + 1507 | 13.84818 3.542715 3.91 0.000 6.900883 20.79547 + 1520 | 11.7734 3.515197 3.35 0.001 4.880066 18.66673 + 1521 | 9.875529 2.992879 3.30 0.001 4.006466 15.74459 + 1522 | 23.13877 3.818675 6.06 0.000 15.65031 30.62722 + 1523 | 12.35327 3.103665 3.98 0.000 6.266957 18.43959 + 1524 | 21.7765 7.038079 3.09 0.002 7.974767 35.57823 + 1525 | 12.10752 3.442844 3.52 0.000 5.356071 18.85896 + 1526 | 21.63609 3.634134 5.95 0.000 14.50953 28.76266 + 1599 | 13.5961 3.7886 3.59 0.000 6.166623 21.02558 + 1600 | 13.30721 3.777248 3.52 0.000 5.899998 20.71443 + 1602 | 6.128935 6.129845 1.00 0.317 -5.891744 18.14961 + 1603 | 7.835998 4.646813 1.69 0.092 -1.276442 16.94844 + 1604 | 9.758735 4.933282 1.98 0.048 .084525 19.43294 + 1605 | 10.31064 4.799238 2.15 0.032 .8992889 19.72198 + 1606 | 19.68133 6.359534 3.09 0.002 7.210231 32.15243 + 1608 | 16.93842 2.947008 5.75 0.000 11.15931 22.71753 + 1609 | 20.76111 3.022653 6.87 0.000 14.83366 26.68856 + 1610 | 14.42156 5.930095 2.43 0.015 2.792597 26.05053 + 1611 | 10.04414 3.766559 2.67 0.008 2.657887 17.4304 + 1612 | 17.03207 3.779112 4.51 0.000 9.621201 24.44294 + 1614 | 4.428533 7.235026 0.61 0.541 -9.759415 18.61648 + 1615 | 12.8571 3.637333 3.53 0.000 5.72426 19.98994 + 1616 | 8.518208 3.626083 2.35 0.019 1.407427 15.62899 + 1617 | 16.48747 5.814463 2.84 0.005 5.085261 27.88969 + 1619 | 8.058044 4.573431 1.76 0.078 -.9104928 17.02658 + 1620 | 16.7232 6.613872 2.53 0.012 3.753337 29.69306 + 1698 | 13.99352 6.700916 2.09 0.037 .8529642 27.13407 + 1699 | 18.40129 3.696476 4.98 0.000 11.15247 25.65011 + 1700 | 11.41937 5.134081 2.22 0.026 1.351387 21.48734 + 1701 | 12.15351 4.494013 2.70 0.007 3.340714 20.96631 + 1704 | 14.48 4.890773 2.96 0.003 4.889147 24.07084 + 1705 | 3.776093 7.50943 0.50 0.615 -10.94996 18.50215 + 1706 | 14.58851 3.337119 4.37 0.000 8.044386 21.13263 + 1707 | 13.72457 3.556815 3.86 0.000 6.74963 20.69952 + 1708 | 18.74959 5.093302 3.68 0.000 8.761584 28.7376 + 1709 | 19.69592 3.438876 5.73 0.000 12.95225 26.43958 + 1798 | 17.98077 4.466301 4.03 0.000 9.222315 26.73922 + 1799 | 6.456247 9.071858 0.71 0.477 -11.33375 24.24624 + 1800 | 10.27881 3.820338 2.69 0.007 2.787092 17.77052 + 1802 | 16.47321 3.427559 4.81 0.000 9.751736 23.19468 + 1803 | 8.511096 3.782209 2.25 0.025 1.094151 15.92804 + 1804 | 14.1487 4.448647 3.18 0.001 5.424866 22.87254 + 1806 | 5.401555 4.221931 1.28 0.201 -2.877688 13.6808 + 1807 | -1.803743 2.676312 -0.67 0.500 -7.052014 3.444529 + 1808 | .0899942 4.164735 0.02 0.983 -8.077086 8.257075 + 1899 | -1.527562 7.578756 -0.20 0.840 -16.38957 13.33444 + 1900 | 11.76832 4.194627 2.81 0.005 3.542622 19.99402 + 1901 | 10.03649 3.455649 2.90 0.004 3.25993 16.81304 + 1902 | 21.17747 4.839796 4.38 0.000 11.68659 30.66835 + 1905 | 30.49128 6.758905 4.51 0.000 17.23701 43.74555 + 1906 | 11.65752 4.180774 2.79 0.005 3.458985 19.85605 + 1907 | 21.27706 5.503594 3.87 0.000 10.48446 32.06965 + 1908 | 16.80032 8.206106 2.05 0.041 .7080711 32.89256 + 1909 | 35.17909 8.543403 4.12 0.000 18.42541 51.93278 + 1910 | 23.37441 9.535175 2.45 0.014 4.67585 42.07297 + 1911 | 20.05864 9.641516 2.08 0.038 1.151546 38.96574 + 1912 | -8.417988 3.023017 -2.78 0.005 -14.34615 -2.489826 + 1914 | 18.33654 5.224607 3.51 0.000 8.091044 28.58204 + 1915 | 18.04566 10.02301 1.80 0.072 -1.609543 37.70087 + 1919 | 16.49678 4.430865 3.72 0.000 7.807816 25.18574 + 1920 | 11.63028 4.101628 2.84 0.005 3.586953 19.67361 + 1925 | 24.84417 5.069059 4.90 0.000 14.9037 34.78463 + 1926 | 3.243643 3.874347 0.84 0.403 -4.353985 10.84127 + 1927 | 8.748359 3.52102 2.48 0.013 1.843608 15.65311 + 1929 | 10.46132 3.868879 2.70 0.007 2.874412 18.04822 + 1999 | 15.83215 12.85266 1.23 0.218 -9.37203 41.03633 + 2000 | 6.161317 2.857402 2.16 0.031 .5579263 11.76471 + 2001 | 7.437295 3.212595 2.32 0.021 1.137368 13.73722 + 2002 | 6.195057 2.902163 2.13 0.033 .5038888 11.88622 + 2003 | 13.73193 3.522117 3.90 0.000 6.825029 20.63883 + 2004 | 15.41223 2.92803 5.26 0.000 9.670338 21.15412 + 2005 | 6.945263 6.373357 1.09 0.276 -5.552945 19.44347 + 2006 | 26.88786 3.138103 8.57 0.000 20.73401 33.0417 + 2007 | 2.297207 3.369221 0.68 0.495 -4.309864 8.904278 + 2008 | 21.70282 2.810786 7.72 0.000 16.19085 27.2148 + 2009 | 4.034225 3.758907 1.07 0.283 -3.337025 11.40548 + 2011 | 5.656612 2.806759 2.02 0.044 .1525339 11.16069 + 2012 | 5.230707 2.850213 1.84 0.067 -.3585849 10.82 + 2013 | 3.878525 4.646548 0.83 0.404 -5.233395 12.99045 + 2014 | 6.704488 3.904701 1.72 0.086 -.9526646 14.36164 + 2015 | 14.20286 5.07861 2.80 0.005 4.24366 24.16205 + 2030 | 7.953752 4.712802 1.69 0.092 -1.288093 17.1956 + 2099 | 13.4389 4.569087 2.94 0.003 4.478878 22.39892 + 2100 | 4.809693 3.370954 1.43 0.154 -1.800777 11.42016 + 2101 | 18.71478 2.84415 6.58 0.000 13.13738 24.29218 + 2102 | 14.57918 2.959282 4.93 0.000 8.776002 20.38236 + 2103 | 6.792675 2.770017 2.45 0.014 1.360647 12.2247 + 2104 | 9.445479 2.856796 3.31 0.001 3.843277 15.04768 + 2105 | 18.80833 5.115217 3.68 0.000 8.777349 28.83932 + 2199 | 4.942169 8.916178 0.55 0.579 -12.54253 22.42687 + 9999 | 5.086381 3.878933 1.31 0.190 -2.520241 12.693 + | + house_administration | -2.867502 1.318599 -2.17 0.030 -5.453287 -.2817176 + house_agriculture | 2.369473 .9705845 2.44 0.015 .4661489 4.272798 + house_appropriations | -11.01896 1.358883 -8.11 0.000 -13.68374 -8.354176 + house_armedservices | .394134 .9631994 0.41 0.682 -1.494708 2.282976 + house_budget | -.6050711 1.264569 -0.48 0.632 -3.084902 1.87476 + house_dc | 2.935901 5.312626 0.55 0.581 -7.482205 13.35401 + house_educlabor | .4289592 .8806702 0.49 0.626 -1.298043 2.155961 + house_energycommerce | 3.759863 .61157 6.15 0.000 2.560569 4.959157 + house_foreignaffairs | 4.648944 2.019451 2.30 0.021 .6887824 8.609105 + house_governmentop | -1.219949 1.239875 -0.98 0.325 -3.651355 1.211457 + house_intelligence | -1.600285 3.758512 -0.43 0.670 -8.970758 5.770189 + house_interior | -.1639265 1.662713 -0.10 0.921 -3.424522 3.096669 + house_judiciary | -2.114184 .5642381 -3.75 0.000 -3.22066 -1.007708 + house_mmf | .8129872 2.11697 0.38 0.701 -3.338409 4.964383 + house_pocs | 2.890726 1.60453 1.80 0.072 -.2557713 6.037223 + house_pwt | 1.270367 1.590204 0.80 0.424 -1.848037 4.388771 + house_rules | -2.891791 .9649883 -3.00 0.003 -4.784141 -.9994404 + house_sst | 5.168335 3.66043 1.41 0.158 -2.009799 12.34647 + house_smallbusi | 5.189204 3.085574 1.68 0.093 -.8616323 11.24004 + house_soc | 2.024477 5.873816 0.34 0.730 -9.494127 13.54308 + house_veterans | 5.256277 1.300131 4.04 0.000 2.706708 7.805846 + house_waysandmeans | -1.656554 .5488911 -3.02 0.003 -2.732934 -.5801736 +house_naturalresources | 1.070558 1.339052 0.80 0.424 -1.555336 3.696451 + house_bfs | -.0593648 .8638483 -0.07 0.945 -1.753379 1.634649 + house_eeo | -4.559628 1.728687 -2.64 0.008 -7.949599 -1.169657 + house_govreform | 1.626269 .911175 1.78 0.074 -.1605536 3.413091 + house_ir | 4.7527 1.476078 3.22 0.001 1.858099 7.647302 + house_natsecur | -1.823543 1.990032 -0.92 0.360 -5.726013 2.078928 + house_oversight | .1720274 1.229589 0.14 0.889 -2.239207 2.583262 + house_resources | -6.947769 .9446933 -7.35 0.000 -8.800321 -5.095217 + house_science | 3.484589 1.592041 2.19 0.029 .362583 6.606595 + house_transp | 2.247955 1.00686 2.23 0.026 .2734939 4.222417 + house_homeland | -1.015544 1.851276 -0.55 0.583 -4.645912 2.614824 + _cons | 7.435302 2.83136 2.63 0.009 1.88298 12.98762 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,273 1 0 1 1 +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 oc +> c3 occ4 borninstate tot_bills if tag_bill==1, robust cluster(group_sponsor) + +Linear regression Number of obs = 60,667 + F(282, 4745) = . + Prob > F = . + R-squared = 0.1048 + Root MSE = 20.094 + + (Std. Err. adjusted for 4,746 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -.1239628 .5050827 -0.25 0.806 -1.114159 .8662337 + | + v2 | + 102 | -1.517407 .6922029 -2.19 0.028 -2.874446 -.1603686 + 103 | -2.107969 .6823415 -3.09 0.002 -3.445675 -.7702629 + 104 | -3.435093 .742346 -4.63 0.000 -4.890436 -1.979751 + 105 | -2.681741 .7825201 -3.43 0.001 -4.215843 -1.147638 + 106 | -1.276769 .7616076 -1.68 0.094 -2.769873 .2163357 + 107 | -1.318764 .7598233 -1.74 0.083 -2.80837 .1708424 + 108 | -1.578656 .768895 -2.05 0.040 -3.086047 -.0712651 + 109 | -2.101035 .7207848 -2.91 0.004 -3.514108 -.6879625 + 110 | -1.331819 .7404969 -1.80 0.072 -2.783536 .1198988 + 111 | -2.59358 .7360956 -3.52 0.000 -4.036669 -1.150491 + | + minor | + 101 | -1.199784 3.878395 -0.31 0.757 -8.803238 6.403671 + 103 | -1.170339 3.950355 -0.30 0.767 -8.914868 6.57419 + 104 | -.8675808 2.86926 -0.30 0.762 -6.492662 4.7575 + 105 | 1.002432 2.246297 0.45 0.655 -3.401353 5.406216 + 107 | .6287268 2.043979 0.31 0.758 -3.378421 4.635874 + 108 | 5.264783 3.344295 1.57 0.115 -1.291587 11.82115 + 110 | -8.649286 2.33901 -3.70 0.000 -13.23483 -4.063741 + 200 | .3156297 2.269979 0.14 0.889 -4.134583 4.765843 + 201 | -2.427054 2.439735 -0.99 0.320 -7.210066 2.355959 + 202 | 2.107798 2.743307 0.77 0.442 -3.270357 7.485953 + 204 | 13.49382 4.190086 3.22 0.001 5.279303 21.70833 + 205 | 7.625645 3.781402 2.02 0.044 .2123413 15.03895 + 206 | -2.654771 2.368931 -1.12 0.262 -7.298975 1.989432 + 207 | 1.037041 2.36061 0.44 0.660 -3.590851 5.664932 + 208 | 3.202051 2.279622 1.40 0.160 -1.267065 7.671168 + 209 | -6.736476 2.71919 -2.48 0.013 -12.06735 -1.4056 + 299 | 1.555668 3.374635 0.46 0.645 -5.060184 8.171519 + 300 | 6.060508 2.544136 2.38 0.017 1.072821 11.0482 + 301 | 4.748527 2.199841 2.16 0.031 .4358168 9.061236 + 302 | 4.777179 2.093712 2.28 0.023 .6725329 8.881826 + 321 | 7.779582 2.260709 3.44 0.001 3.347543 12.21162 + 322 | 9.988861 2.269497 4.40 0.000 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-1.658916 .4011353 + ivycoll | .2955598 .4713817 0.63 0.531 -.6285671 1.219687 + black | -3.058362 .4966682 -6.16 0.000 -4.032063 -2.084662 + occ0 | 2.335805 .4836103 4.83 0.000 1.387705 3.283906 + occ1 | 1.597713 .5710753 2.80 0.005 .4781406 2.717286 + occ2 | 2.060344 .4443293 4.64 0.000 1.189252 2.931436 + occ3 | -.8434132 .6722065 -1.25 0.210 -2.16125 .4744234 + occ4 | 1.075548 .5032234 2.14 0.033 .0889965 2.062099 + borninstate | .8773496 .3168532 2.77 0.006 .2561703 1.498529 + tot_bills | -.0595663 .0115936 -5.14 0.000 -.0822951 -.0368375 + _cons | 16.06793 2.258705 7.11 0.000 11.63982 20.49604 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,746 1 0 1 1 +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 oc +> c3 occ4 borninstate tot_bills if sponsor_party==100 & tag_bill==1, robust cluster(group_sponsor) +note: sponsor_democrat omitted because of collinearity + +Linear regression Number of obs = 32,846 + F(281, 2491) = . + Prob > F = . + R-squared = 0.0916 + Root MSE = 17.303 + + (Std. Err. adjusted for 2,492 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -2.178362 .4009314 -5.43 0.000 -2.964555 -1.392168 + | + v2 | + 102 | -1.622205 .6404767 -2.53 0.011 -2.878126 -.3662833 + 103 | -1.152747 .6742382 -1.71 0.087 -2.474872 .1693783 + 104 | -4.411998 .8671426 -5.09 0.000 -6.112393 -2.711604 + 105 | -4.273212 .7589258 -5.63 0.000 -5.761403 -2.785022 + 106 | -3.906904 .687097 -5.69 0.000 -5.254244 -2.559564 + 107 | -4.152259 .6948635 -5.98 0.000 -5.514829 -2.789689 + 108 | -5.255266 .6843342 -7.68 0.000 -6.597189 -3.913344 + 109 | -5.080855 .7071912 -7.18 0.000 -6.467598 -3.694112 + 110 | 1.388537 .7624779 1.82 0.069 -.1066185 2.883693 + 111 | -.9707417 .7589258 -1.28 0.201 -2.458932 .5174486 + | + minor | + 101 | -7.216036 3.957717 -1.82 0.068 -14.97679 .5447177 + 103 | -5.74567 2.856745 -2.01 0.044 -11.34751 -.1438311 + 104 | -2.527775 4.729283 -0.53 0.593 -11.80151 6.745956 + 105 | -3.625485 3.027924 -1.20 0.231 -9.562992 2.312021 + 107 | -1.178326 2.795488 -0.42 0.673 -6.660046 4.303394 + 108 | 1.497379 3.967113 0.38 0.706 -6.281799 9.276558 + 110 | -13.44127 3.016335 -4.46 0.000 -19.35605 -7.526491 + 200 | -4.507153 3.016575 -1.49 0.135 -10.42241 1.4081 + 201 | -10.02003 2.872237 -3.49 0.000 -15.65224 -4.387808 + 202 | -6.736915 2.840799 -2.37 0.018 -12.30749 -1.166344 + 204 | 3.544455 4.873641 0.73 0.467 -6.012349 13.10126 + 205 | 1.786124 4.178035 0.43 0.669 -6.406656 9.978903 + 206 | -10.35723 2.895335 -3.58 0.000 -16.03474 -4.679715 + 207 | .2616494 3.308303 0.08 0.937 -6.225657 6.748956 + 208 | -2.394769 2.989877 -0.80 0.423 -8.257669 3.468131 + 209 | -10.97954 2.764917 -3.97 0.000 -16.40131 -5.557764 + 299 | -4.871334 6.538716 -0.74 0.456 -17.69321 7.950544 + 300 | -2.853205 3.039585 -0.94 0.348 -8.813578 3.107168 + 301 | -1.82751 2.921676 -0.63 0.532 -7.556673 3.901654 + 302 | -1.165737 2.806965 -0.42 0.678 -6.669962 4.338487 + 321 | -.8236252 2.936589 -0.28 0.779 -6.582031 4.934781 + 322 | -.9691888 2.921473 -0.33 0.740 -6.697955 4.759577 + 323 | 3.064084 3.050563 1.00 0.315 -2.917816 9.045984 + 324 | -3.710064 3.127043 -1.19 0.236 -9.841934 2.421806 + 325 | .0783123 2.922074 0.03 0.979 -5.651631 5.808255 + 331 | 1.139511 2.863278 0.40 0.691 -4.475139 6.754161 + 332 | -1.922375 2.832622 -0.68 0.497 -7.476911 3.632162 + 333 | -1.848899 2.922707 -0.63 0.527 -7.580084 3.882286 + 334 | .6161567 2.873863 0.21 0.830 -5.019249 6.251562 + 335 | -6.2561 2.838228 -2.20 0.028 -11.82163 -.6905715 + 336 | 2.822814 2.974556 0.95 0.343 -3.010043 8.65567 + 341 | -1.691382 3.101604 -0.55 0.586 -7.773369 4.390606 + 342 | .1427298 4.142473 0.03 0.973 -7.980316 8.265775 + 343 | -1.712267 3.304994 -0.52 0.604 -8.193085 4.76855 + 344 | -3.227901 3.556906 -0.91 0.364 -10.2027 3.746895 + 398 | 2.538949 2.897831 0.88 0.381 -3.143456 8.221354 + 399 | -.660858 3.543269 -0.19 0.852 -7.608914 6.287198 + 400 | -1.887486 3.618244 -0.52 0.602 -8.982562 5.20759 + 401 | 3.427745 3.920726 0.87 0.382 -4.260473 11.11596 + 402 | 2.543138 3.059164 0.83 0.406 -3.455628 8.541904 + 403 | -2.453209 3.027852 -0.81 0.418 -8.390574 3.484156 + 404 | 2.20788 4.155856 0.53 0.595 -5.941408 10.35717 + 405 | 12.60923 4.52736 2.79 0.005 3.731451 21.48701 + 498 | 6.029654 5.06448 1.19 0.234 -3.901369 15.96068 + 499 | 1.682071 5.273754 0.32 0.750 -8.659323 12.02346 + 500 | -6.695667 3.048225 -2.20 0.028 -12.67298 -.7183507 + 501 | -3.48697 3.059419 -1.14 0.255 -9.486237 2.512297 + 502 | -4.860805 2.983869 -1.63 0.103 -10.71192 .9903146 + 503 | -3.480698 2.768884 -1.26 0.209 -8.910249 1.948854 + 504 | -4.990398 2.967282 -1.68 0.093 -10.80899 .8281949 + 505 | -1.196684 3.294825 -0.36 0.716 -7.657563 5.264194 + 506 | -5.26898 3.06982 -1.72 0.086 -11.28864 .7506823 + 508 | -4.972672 2.852616 -1.74 0.081 -10.56642 .6210707 + 529 | 9.647416 5.966395 1.62 0.106 -2.052189 21.34702 + 530 | -3.877937 2.844039 -1.36 0.173 -9.454861 1.698986 + 599 | -3.367152 3.919316 -0.86 0.390 -11.0526 4.3183 + 600 | -3.628373 3.062457 -1.18 0.236 -9.633596 2.376851 + 601 | -.6584545 2.787972 -0.24 0.813 -6.125435 4.808526 + 602 | -3.674865 2.776882 -1.32 0.186 -9.1201 1.770369 + 603 | -4.250363 2.937871 -1.45 0.148 -10.01128 1.510558 + 604 | .2005481 4.214441 0.05 0.962 -8.06362 8.464716 + 606 | -.5068063 3.321598 -0.15 0.879 -7.020183 6.00657 + 607 | -2.811923 2.870808 -0.98 0.327 -8.441338 2.817492 + 609 | -.1842294 3.929999 -0.05 0.963 -7.89063 7.522171 + 698 | 3.093468 5.38302 0.57 0.566 -7.462186 13.64912 + 699 | -1.109218 3.251332 -0.34 0.733 -7.48481 5.266374 + 700 | -1.020103 3.152789 -0.32 0.746 -7.20246 5.162254 + 701 | -2.588994 3.040913 -0.85 0.395 -8.551972 3.373984 + 703 | -.3307882 3.140497 -0.11 0.916 -6.489042 5.827465 + 704 | -2.8349 2.924955 -0.97 0.333 -8.570493 2.900692 + 705 | -.2417925 3.214938 -0.08 0.940 -6.546019 6.062434 + 707 | -.3307847 3.175077 -0.10 0.917 -6.556846 5.895276 + 708 | -7.262878 3.015279 -2.41 0.016 -13.17559 -1.350167 + 709 | 3.27419 2.933851 1.12 0.265 -2.478848 9.027228 + 710 | .6421901 3.122994 0.21 0.837 -5.481741 6.766121 + 711 | -.926678 3.272118 -0.28 0.777 -7.34303 5.489674 + 798 | -3.818327 3.516539 -1.09 0.278 -10.71397 3.077314 + 799 | -1.674954 5.256611 -0.32 0.750 -11.98273 8.632822 + 800 | -4.323945 3.099482 -1.40 0.163 -10.40177 1.753881 + 801 | 1.890824 3.672435 0.51 0.607 -5.310516 9.092164 + 802 | 1.886266 3.210936 0.59 0.557 -4.410112 8.182645 + 803 | -2.43984 2.954517 -0.83 0.409 -8.233402 3.353721 + 805 | 5.253663 4.792859 1.10 0.273 -4.144735 14.65206 + 806 | 2.675585 3.003047 0.89 0.373 -3.21314 8.564311 + 807 | -.9628726 3.191757 -0.30 0.763 -7.221642 5.295897 + 898 | 2.269723 4.415135 0.51 0.607 -6.38799 10.92744 + 899 | -10.12911 3.692822 -2.74 0.006 -17.37043 -2.887796 + 1000 | 1.160161 3.652741 0.32 0.751 -6.002561 8.322882 + 1001 | -4.834331 3.513104 -1.38 0.169 -11.72323 2.054573 + 1002 | .5124786 3.331624 0.15 0.878 -6.02056 7.045517 + 1003 | 2.608966 3.016835 0.86 0.387 -3.306795 8.524728 + 1005 | -.2451473 3.274761 -0.07 0.940 -6.666681 6.176386 + 1006 | 2.007008 3.201358 0.63 0.531 -4.270589 8.284605 + 1007 | 1.361197 3.213195 0.42 0.672 -4.93961 7.662004 + 1010 | -6.375909 3.20618 -1.99 0.047 -12.66296 -.0888555 + 1098 | -3.029564 4.928746 -0.61 0.539 -12.69442 6.635297 + 1099 | 1.899497 11.49947 0.17 0.869 -20.65 24.44899 + 1200 | -4.362258 3.65532 -1.19 0.233 -11.53004 2.80552 + 1201 | -1.317479 3.0842 -0.43 0.669 -7.365338 4.73038 + 1202 | 4.056298 3.981332 1.02 0.308 -3.750762 11.86336 + 1203 | 1.580388 3.078232 0.51 0.608 -4.455769 7.616544 + 1204 | 4.034961 3.45827 1.17 0.243 -2.746419 10.81634 + 1205 | -1.414252 3.543216 -0.40 0.690 -8.362203 5.5337 + 1206 | -4.909882 3.167405 -1.55 0.121 -11.1209 1.301136 + 1207 | .2671442 3.213117 0.08 0.934 -6.033511 6.5678 + 1208 | -2.697324 2.850525 -0.95 0.344 -8.286966 2.892318 + 1209 | -5.890498 2.823197 -2.09 0.037 -11.42655 -.3544435 + 1210 | -2.710177 3.154559 -0.86 0.390 -8.896003 3.47565 + 1211 | -4.648144 3.168652 -1.47 0.143 -10.86161 1.565319 + 1299 | -3.113337 4.223215 -0.74 0.461 -11.39471 5.168036 + 1300 | -1.656302 3.338627 -0.50 0.620 -8.203071 4.890467 + 1301 | -4.178721 2.977023 -1.40 0.161 -10.01642 1.658974 + 1302 | -5.884711 2.97422 -1.98 0.048 -11.71691 -.0525135 + 1303 | -4.698003 2.807925 -1.67 0.094 -10.20411 .8081047 + 1304 | -2.280788 2.967913 -0.77 0.442 -8.100618 3.539042 + 1305 | -.0842853 3.289522 -0.03 0.980 -6.534765 6.366194 + 1399 | -1.804317 4.969472 -0.36 0.717 -11.54904 7.940404 + 1400 | -.8308421 3.066159 -0.27 0.786 -6.843325 5.18164 + 1401 | -.1929209 3.246852 -0.06 0.953 -6.559728 6.173886 + 1403 | -2.652604 3.569095 -0.74 0.457 -9.651302 4.346094 + 1404 | -.8020305 4.757841 -0.17 0.866 -10.13176 8.527699 + 1405 | 1.2576 3.263796 0.39 0.700 -5.142432 7.657632 + 1406 | -5.879516 2.851234 -2.06 0.039 -11.47055 -.2884838 + 1407 | 1.865848 3.481992 0.54 0.592 -4.962048 8.693743 + 1408 | -2.685174 3.756959 -0.71 0.475 -10.05226 4.68191 + 1409 | -2.892994 3.648001 -0.79 0.428 -10.04642 4.260432 + 1410 | -.0472564 3.683364 -0.01 0.990 -7.270027 7.175514 + 1499 | -3.799276 5.260639 -0.72 0.470 -14.11495 6.516399 + 1500 | -.7147212 3.785798 -0.19 0.850 -8.138357 6.708914 + 1501 | -.9281889 2.882365 -0.32 0.747 -6.580267 4.723889 + 1502 | .5038642 3.033378 0.17 0.868 -5.444337 6.452066 + 1504 | -1.329423 2.975639 -0.45 0.655 -7.164403 4.505558 + 1505 | 1.232259 3.435403 0.36 0.720 -5.504281 7.968799 + 1507 | -1.09577 3.905942 -0.28 0.779 -8.754996 6.563457 + 1520 | -3.322599 3.19544 -1.04 0.299 -9.588591 2.943393 + 1521 | .6612584 3.03067 0.22 0.827 -5.281633 6.604149 + 1522 | 10.69085 3.594428 2.97 0.003 3.642476 17.73922 + 1523 | .6209043 2.873407 0.22 0.829 -5.013609 6.255417 + 1524 | 9.399894 5.312892 1.77 0.077 -1.018245 19.81803 + 1525 | -2.168277 2.88848 -0.75 0.453 -7.832346 3.495793 + 1526 | .4489573 3.405482 0.13 0.895 -6.228909 7.126824 + 1599 | 9.935529 5.512604 1.80 0.072 -.8742286 20.74529 + 1600 | 2.939976 3.341387 0.88 0.379 -3.612206 9.492157 + 1602 | -2.157389 3.79832 -0.57 0.570 -9.605578 5.290799 + 1603 | -7.828215 3.480609 -2.25 0.025 -14.6534 -1.003031 + 1604 | 5.805883 6.291662 0.92 0.356 -6.531542 18.14331 + 1605 | -1.388793 3.433721 -0.40 0.686 -8.122035 5.344449 + 1606 | 3.516119 4.298608 0.82 0.413 -4.913094 11.94533 + 1608 | .9996831 2.845723 0.35 0.725 -4.580544 6.57991 + 1609 | .2040698 2.874076 0.07 0.943 -5.431755 5.839894 + 1610 | -.1576128 3.597944 -0.04 0.965 -7.212882 6.897656 + 1611 | -.9899537 3.582143 -0.28 0.782 -8.014238 6.034331 + 1612 | .4074447 3.262458 0.12 0.901 -5.989965 6.804854 + 1614 | .5661601 4.307205 0.13 0.895 -7.87991 9.01223 + 1615 | .5348391 3.312814 0.16 0.872 -5.961313 7.030992 + 1616 | .0042688 3.400162 0.00 0.999 -6.663166 6.671704 + 1617 | -1.655408 3.832132 -0.43 0.666 -9.169901 5.859084 + 1619 | -6.724704 3.157166 -2.13 0.033 -12.91564 -.5337645 + 1620 | 3.852064 5.018658 0.77 0.443 -5.989107 13.69324 + 1698 | 8.049622 7.018072 1.15 0.251 -5.712233 21.81148 + 1699 | 6.044766 3.299998 1.83 0.067 -.4262551 12.51579 + 1700 | 4.948271 4.276135 1.16 0.247 -3.436874 13.33342 + 1701 | 4.500371 3.586256 1.25 0.210 -2.531979 11.53272 + 1704 | 19.3111 8.134256 2.37 0.018 3.360504 35.2617 + 1705 | .9389306 5.600938 0.17 0.867 -10.04404 11.9219 + 1706 | 2.473149 3.165738 0.78 0.435 -3.7346 8.680898 + 1707 | 1.939536 3.007467 0.64 0.519 -3.957857 7.836929 + 1708 | 6.376361 3.910617 1.63 0.103 -1.292033 14.04476 + 1709 | 4.732161 3.501 1.35 0.177 -2.133009 11.59733 + 1798 | -.7035115 3.471849 -0.20 0.839 -7.511518 6.104495 + 1799 | -2.675755 6.450279 -0.41 0.678 -15.32421 9.972705 + 1800 | -3.961942 3.410455 -1.16 0.245 -10.64956 2.725676 + 1802 | -1.034864 3.139893 -0.33 0.742 -7.191933 5.122204 + 1803 | -.0091707 3.218429 -0.00 0.998 -6.320242 6.301901 + 1804 | -1.7092 3.782671 -0.45 0.651 -9.126702 5.708303 + 1806 | 2.494723 3.974876 0.63 0.530 -5.299679 10.28912 + 1807 | -9.573696 2.775248 -3.45 0.001 -15.01573 -4.131666 + 1808 | 8.864593 8.962388 0.99 0.323 -8.709903 26.43909 + 1899 | 1.310865 8.762933 0.15 0.881 -15.87252 18.49425 + 1900 | .6599541 3.747282 0.18 0.860 -6.688154 8.008062 + 1901 | .7948966 2.996355 0.27 0.791 -5.080705 6.670499 + 1902 | 2.605818 3.655363 0.71 0.476 -4.562045 9.773681 + 1905 | -1.039304 3.303247 -0.31 0.753 -7.516696 5.438087 + 1906 | .1431554 3.200569 0.04 0.964 -6.132895 6.419206 + 1907 | 6.823825 5.343483 1.28 0.202 -3.654299 17.30195 + 1908 | 4.55428 4.791556 0.95 0.342 -4.841563 13.95012 + 1909 | 4.01758 5.330782 0.75 0.451 -6.43564 14.4708 + 1910 | -7.348367 3.478294 -2.11 0.035 -14.16901 -.5277223 + 1911 | -1.850949 3.408119 -0.54 0.587 -8.533987 4.83209 + 1912 | -9.43955 3.544755 -2.66 0.008 -16.39052 -2.48858 + 1914 | -6.288252 3.210916 -1.96 0.050 -12.58459 .0080881 + 1915 | 16.47301 4.850549 3.40 0.001 6.961489 25.98454 + 1919 | 6.506203 5.630098 1.16 0.248 -4.533951 17.54636 + 1920 | 3.406542 3.277756 1.04 0.299 -3.020864 9.833947 + 1925 | -2.354093 3.085304 -0.76 0.446 -8.404118 3.695932 + 1926 | 1.76781 3.901332 0.45 0.650 -5.882377 9.417997 + 1927 | 1.879939 3.995821 0.47 0.638 -5.955533 9.71541 + 1929 | .6328506 3.768194 0.17 0.867 -6.756265 8.021966 + 1999 | -2.193175 9.533326 -0.23 0.818 -20.88723 16.50088 + 2000 | -2.936786 2.978149 -0.99 0.324 -8.776689 2.903117 + 2001 | -.8231286 3.216205 -0.26 0.798 -7.12984 5.483582 + 2002 | -3.537467 3.148872 -1.12 0.261 -9.712143 2.637208 + 2003 | -.6104784 3.177265 -0.19 0.848 -6.840831 5.619874 + 2004 | 1.709709 2.872998 0.60 0.552 -3.924002 7.34342 + 2005 | 10.78635 6.066859 1.78 0.076 -1.110257 22.68295 + 2006 | 11.3487 2.97209 3.82 0.000 5.520681 17.17672 + 2007 | -4.290793 3.173235 -1.35 0.176 -10.51324 1.931656 + 2008 | 11.85699 2.8717 4.13 0.000 6.225826 17.48815 + 2009 | 3.809387 4.505913 0.85 0.398 -5.026334 12.64511 + 2010 | -16.21076 2.858129 -5.67 0.000 -21.81532 -10.60621 + 2011 | .6348982 3.137487 0.20 0.840 -5.517452 6.787249 + 2012 | -5.385107 2.915298 -1.85 0.065 -11.10176 .3315494 + 2013 | -2.072584 4.838709 -0.43 0.668 -11.56089 7.415721 + 2014 | 4.710909 3.919619 1.20 0.230 -2.975138 12.39696 + 2015 | -1.707872 4.11863 -0.41 0.678 -9.784162 6.368419 + 2030 | -.7195576 4.146284 -0.17 0.862 -8.850074 7.410959 + 2099 | 3.799323 3.635353 1.05 0.296 -3.329301 10.92795 + 2100 | -2.623493 3.67309 -0.71 0.475 -9.826116 4.57913 + 2101 | -.0418317 2.847505 -0.01 0.988 -5.625552 5.541888 + 2102 | 1.176935 2.932777 0.40 0.688 -4.573997 6.927867 + 2103 | 1.412679 2.891796 0.49 0.625 -4.257891 7.08325 + 2104 | -.5138062 2.977081 -0.17 0.863 -6.351614 5.324002 + 2105 | -1.43023 5.403367 -0.26 0.791 -12.02578 9.165324 + 2199 | 3.994176 13.54844 0.29 0.768 -22.57319 30.56154 + 9999 | -1.412434 3.797837 -0.37 0.710 -8.859676 6.034808 + | + house_administration | .2361934 .8387245 0.28 0.778 -1.408476 1.880862 + house_agriculture | .5242497 .6725432 0.78 0.436 -.7945516 1.843051 + house_appropriations | -9.34934 .9774598 -9.56 0.000 -11.26606 -7.432623 + house_armedservices | -2.371657 .6073431 -3.90 0.000 -3.562606 -1.180708 + house_budget | -3.938487 1.179494 -3.34 0.001 -6.251378 -1.625597 + house_dc | -6.973475 3.105563 -2.25 0.025 -13.06323 -.8837249 + house_educlabor | -3.450362 .3671874 -9.40 0.000 -4.170386 -2.730338 + house_energycommerce | -1.228143 .3986151 -3.08 0.002 -2.009794 -.4464924 + house_foreignaffairs | -.2387225 .8521137 -0.28 0.779 -1.909647 1.432202 + house_governmentop | .4543537 1.158652 0.39 0.695 -1.817666 2.726374 + house_intelligence | -.3129189 1.712992 -0.18 0.855 -3.671954 3.046116 + house_interior | -3.906493 .9903182 -3.94 0.000 -5.848424 -1.964561 + house_judiciary | 1.49208 .4809545 3.10 0.002 .5489678 2.435192 + house_mmf | 4.726601 1.376247 3.43 0.001 2.027896 7.425306 + house_pocs | .0689885 1.012093 0.07 0.946 -1.915642 2.053619 + house_pwt | -.2701115 1.013536 -0.27 0.790 -2.257572 1.717349 + house_rules | 1.013407 1.14241 0.89 0.375 -1.226765 3.253579 + house_sst | 2.589647 1.458923 1.78 0.076 -.2711786 5.450473 + house_smallbusi | -5.370524 1.366783 -3.93 0.000 -8.050672 -2.690376 + house_soc | -.1809865 5.376474 -0.03 0.973 -10.7238 10.36183 + house_veterans | -.270185 .6989361 -0.39 0.699 -1.640741 1.100371 + house_waysandmeans | .7643957 .3559275 2.15 0.032 .0664515 1.46234 +house_naturalresources | -4.064042 .8535803 -4.76 0.000 -5.737842 -2.390242 + house_bfs | -2.336158 .5218584 -4.48 0.000 -3.359479 -1.312838 + house_eeo | -2.419829 1.184541 -2.04 0.041 -4.742615 -.0970428 + house_govreform | 3.865023 .6989586 5.53 0.000 2.494423 5.235622 + house_ir | 1.851745 .915677 2.02 0.043 .0561785 3.647311 + house_natsecur | 1.708208 1.544279 1.11 0.269 -1.319994 4.73641 + house_oversight | -3.033935 1.003558 -3.02 0.003 -5.001828 -1.066042 + house_resources | 1.771775 .9017965 1.96 0.050 .0034274 3.540123 + house_science | -1.144381 .8976754 -1.27 0.202 -2.904648 .6158853 + house_transp | -1.730257 .5882964 -2.94 0.003 -2.883858 -.5766569 + house_homeland | -.3585525 1.164157 -0.31 0.758 -2.641368 1.924263 + sponsor_democrat | 0 (omitted) + sponsor_rookie | -3.224291 .5839861 -5.52 0.000 -4.369439 -2.079143 + sponsor_tenure_run | -.0858775 .0571476 -1.50 0.133 -.197939 .0261841 + sponsor_age | -.0248421 .0217909 -1.14 0.254 -.0675723 .017888 + leader | .0203991 .5282734 0.04 0.969 -1.015501 1.056299 + ivycoll | -.2787319 .475692 -0.59 0.558 -1.211524 .6540605 + black | -2.712226 .4232728 -6.41 0.000 -3.542229 -1.882224 + occ0 | .1428482 .5211128 0.27 0.784 -.8790106 1.164707 + occ1 | 1.175571 .5656028 2.08 0.038 .0664709 2.284671 + occ2 | .7835942 .5074759 1.54 0.123 -.2115238 1.778712 + occ3 | .5305291 .8164326 0.65 0.516 -1.070427 2.131485 + occ4 | -.1710103 .6311539 -0.27 0.786 -1.40865 1.06663 + borninstate | .6912288 .3306592 2.09 0.037 .0428336 1.339624 + tot_bills | -.0781486 .0114964 -6.80 0.000 -.1006921 -.0556051 + _cons | 19.18871 3.013229 6.37 0.000 13.28002 25.0974 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,492 1 0 1 1 +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 oc +> c3 occ4 borninstate tot_bills if sponsor_party==200 & tag_bill==1, robust cluster(group_sponsor) +note: sponsor_democrat omitted because of collinearity + +Linear regression Number of obs = 27,669 + F(280, 2243) = . + Prob > F = . + R-squared = 0.1610 + Root MSE = 21.963 + + (Std. Err. adjusted for 2,244 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 4.766429 .9474096 5.03 0.000 2.908538 6.624321 + | + v2 | + 102 | -.7094614 1.450164 -0.49 0.625 -3.553266 2.134343 + 103 | -3.09242 1.34379 -2.30 0.021 -5.727623 -.4572175 + 104 | -.9917321 1.292489 -0.77 0.443 -3.526332 1.542868 + 105 | .1041574 1.359628 0.08 0.939 -2.562103 2.770418 + 106 | 1.827694 1.347665 1.36 0.175 -.8151079 4.470496 + 107 | 2.424913 1.330904 1.82 0.069 -.18502 5.034846 + 108 | 2.848574 1.348777 2.11 0.035 .203593 5.493555 + 109 | 1.401472 1.324092 1.06 0.290 -1.195101 3.998046 + 110 | -4.866149 1.330145 -3.66 0.000 -7.474593 -2.257705 + 111 | -4.841325 1.452932 -3.33 0.001 -7.690556 -1.992093 + | + minor | + 101 | 6.502227 5.691539 1.14 0.253 -4.659007 17.66346 + 103 | 7.50273 8.060693 0.93 0.352 -8.304468 23.30993 + 104 | 3.050908 3.551789 0.86 0.390 -3.91423 10.01605 + 105 | 6.78689 2.990049 2.27 0.023 .9233368 12.65044 + 107 | 5.351012 2.767715 1.93 0.053 -.0765394 10.77856 + 108 | 11.65109 6.478352 1.80 0.072 -1.053103 24.35528 + 110 | -2.446534 3.829336 -0.64 0.523 -9.955946 5.062878 + 200 | 5.331124 3.295658 1.62 0.106 -1.131735 11.79398 + 201 | 16.49181 14.98665 1.10 0.271 -12.89734 45.88095 + 202 | 17.18275 7.90064 2.17 0.030 1.689417 32.67608 + 204 | 22.87552 6.232725 3.67 0.000 10.65301 35.09804 + 205 | 15.35725 6.695282 2.29 0.022 2.22765 28.48684 + 206 | 7.452244 3.877714 1.92 0.055 -.1520402 15.05653 + 207 | 5.336369 3.053068 1.75 0.081 -.6507643 11.3235 + 208 | 8.626821 3.228746 2.67 0.008 2.295179 14.95846 + 209 | -3.720874 2.846141 -1.31 0.191 -9.302219 1.860472 + 299 | 7.33948 3.899373 1.88 0.060 -.3072765 14.98624 + 300 | 15.58125 4.025608 3.87 0.000 7.686941 23.47555 + 301 | 11.9904 3.162882 3.79 0.000 5.787913 18.19288 + 302 | 11.62043 2.904333 4.00 0.000 5.924963 17.31589 + 321 | 18.33097 3.289715 5.57 0.000 11.87976 24.78217 + 322 | 22.82832 3.2701 6.98 0.000 16.41558 29.24106 + 323 | 18.16524 3.447282 5.27 0.000 11.40505 24.92544 + 324 | 4.113083 3.35641 1.23 0.221 -2.468911 10.69508 + 325 | 26.72672 3.576559 7.47 0.000 19.713 33.74043 + 331 | 30.51494 3.531512 8.64 0.000 23.58957 37.44032 + 332 | 25.48288 3.779422 6.74 0.000 18.07135 32.89441 + 333 | 33.31662 5.753121 5.79 0.000 22.03462 44.59862 + 334 | 20.94114 3.500579 5.98 0.000 14.07643 27.80586 + 335 | 14.43209 4.007569 3.60 0.000 6.573155 22.29102 + 336 | 26.48163 3.754477 7.05 0.000 19.11902 33.84425 + 341 | 29.58423 5.565629 5.32 0.000 18.6699 40.49855 + 342 | 27.99755 6.842971 4.09 0.000 14.57834 41.41677 + 343 | 10.69647 4.67654 2.29 0.022 1.52567 19.86727 + 344 | 39.72699 11.13796 3.57 0.000 17.8852 61.56878 + 398 | 26.329 3.432484 7.67 0.000 19.59782 33.06017 + 399 | 18.59669 5.162513 3.60 0.000 8.472887 28.72049 + 400 | 9.664499 4.212848 2.29 0.022 1.403011 17.92599 + 401 | 11.75739 3.618118 3.25 0.001 4.662179 18.8526 + 402 | 12.90029 3.085319 4.18 0.000 6.849908 18.95067 + 403 | 10.05613 3.689658 2.73 0.006 2.820626 17.29163 + 404 | 13.88366 4.067607 3.41 0.001 5.906988 21.86032 + 405 | 21.29572 5.469278 3.89 0.000 10.57035 32.0211 + 498 | 12.88258 4.767975 2.70 0.007 3.532477 22.23268 + 499 | 10.75813 4.082326 2.64 0.008 2.7526 18.76366 + 500 | 10.49585 5.37009 1.95 0.051 -.0350208 21.02671 + 501 | 5.819876 3.56916 1.63 0.103 -1.179325 12.81908 + 502 | 10.06999 3.758332 2.68 0.007 2.699815 17.44016 + 503 | 7.631873 2.811288 2.71 0.007 2.118874 13.14487 + 504 | -2.089592 3.240789 -0.64 0.519 -8.44485 4.265667 + 505 | 3.604468 3.376249 1.07 0.286 -3.016432 10.22537 + 506 | 5.998495 4.495838 1.33 0.182 -2.817944 14.81493 + 508 | 13.93365 4.032619 3.46 0.001 6.025593 21.84171 + 529 | 11.05185 4.745169 2.33 0.020 1.746467 20.35723 + 530 | 11.12615 2.879404 3.86 0.000 5.479575 16.77272 + 599 | 1.613982 5.605336 0.29 0.773 -9.378206 12.60617 + 600 | 5.024735 3.489051 1.44 0.150 -1.817371 11.86684 + 601 | 15.28391 2.931944 5.21 0.000 9.534304 21.03352 + 602 | 13.07966 3.178834 4.11 0.000 6.8459 19.31343 + 603 | 13.11136 4.730094 2.77 0.006 3.835538 22.38718 + 604 | 17.58334 6.02558 2.92 0.004 5.767047 29.39964 + 606 | 11.4653 4.618689 2.48 0.013 2.407952 20.52265 + 607 | 21.10928 3.76282 5.61 0.000 13.73031 28.48826 + 609 | 15.85537 5.672323 2.80 0.005 4.731818 26.97892 + 698 | .8113655 8.609254 0.09 0.925 -16.07157 17.6943 + 699 | 9.935831 5.819925 1.71 0.088 -1.47717 21.34883 + 700 | 14.04215 3.612416 3.89 0.000 6.958118 21.12617 + 701 | 12.64879 3.450948 3.67 0.000 5.881406 19.41618 + 703 | 12.75412 3.575915 3.57 0.000 5.741668 19.76656 + 704 | 8.335606 3.274431 2.55 0.011 1.914373 14.75684 + 705 | 3.683631 3.24688 1.13 0.257 -2.683573 10.05083 + 707 | 21.23341 6.32146 3.36 0.001 8.836885 33.62993 + 708 | 15.04631 6.982774 2.15 0.031 1.352936 28.73969 + 709 | 15.48584 3.19206 4.85 0.000 9.226141 21.74554 + 710 | 18.03793 3.359809 5.37 0.000 11.44927 24.62659 + 711 | 16.62289 3.635924 4.57 0.000 9.492764 23.75302 + 798 | 20.18996 5.407477 3.73 0.000 9.585779 30.79414 + 799 | 13.87715 5.321165 2.61 0.009 3.442229 24.31207 + 800 | 6.121898 3.741642 1.64 0.102 -1.215544 13.45934 + 801 | 9.187867 3.993955 2.30 0.022 1.355633 17.0201 + 802 | 7.414451 3.348535 2.21 0.027 .8479007 13.981 + 803 | 8.747106 2.989142 2.93 0.003 2.885332 14.60888 + 805 | 7.069602 4.549673 1.55 0.120 -1.852409 15.99161 + 806 | 12.23313 3.296546 3.71 0.000 5.768528 18.69773 + 807 | 16.25095 3.83843 4.23 0.000 8.723703 23.7782 + 898 | 5.254465 6.204872 0.85 0.397 -6.913425 17.42236 + 899 | 2.143352 9.35543 0.23 0.819 -16.20285 20.48956 + 1000 | 11.63338 3.917162 2.97 0.003 3.951737 19.31502 + 1001 | 24.98257 4.386607 5.70 0.000 16.38033 33.5848 + 1002 | 13.57902 3.160674 4.30 0.000 7.380864 19.77717 + 1003 | 13.49086 3.022001 4.46 0.000 7.564649 19.41707 + 1005 | 13.56598 4.117338 3.29 0.001 5.491793 21.64017 + 1006 | 16.13511 3.4141 4.73 0.000 9.439987 22.83024 + 1007 | 13.59826 3.210415 4.24 0.000 7.302566 19.89395 + 1010 | 15.48085 6.914424 2.24 0.025 1.921509 29.04019 + 1098 | 6.364815 6.296499 1.01 0.312 -5.98276 18.71239 + 1099 | 6.277871 10.33434 0.61 0.544 -13.98799 26.54373 + 1200 | 10.98684 4.655848 2.36 0.018 1.856624 20.11706 + 1201 | 17.71416 3.575968 4.95 0.000 10.7016 24.72671 + 1202 | 13.13765 4.092075 3.21 0.001 5.113004 21.1623 + 1203 | 5.691297 3.100439 1.84 0.067 -.3887333 11.77133 + 1204 | 8.13564 3.028823 2.69 0.007 2.19605 14.07523 + 1205 | 10.98876 3.502011 3.14 0.002 4.121238 17.85628 + 1206 | 11.62213 4.267775 2.72 0.007 3.252927 19.99133 + 1207 | 13.32726 3.276749 4.07 0.000 6.90148 19.75304 + 1208 | 19.09079 3.203926 5.96 0.000 12.80782 25.37376 + 1209 | 18.83585 3.009349 6.26 0.000 12.93445 24.73724 + 1210 | 9.845572 3.046147 3.23 0.001 3.872012 15.81913 + 1211 | 16.82892 4.00488 4.20 0.000 8.975257 24.68257 + 1299 | 16.08985 6.345597 2.54 0.011 3.64599 28.5337 + 1300 | 6.913275 4.204584 1.64 0.100 -1.332007 15.15856 + 1301 | 21.02336 5.127423 4.10 0.000 10.96837 31.07835 + 1302 | 6.966953 4.131219 1.69 0.092 -1.134458 15.06836 + 1303 | 9.456525 3.359925 2.81 0.005 2.867637 16.04541 + 1304 | 19.13453 4.003671 4.78 0.000 11.28325 26.98582 + 1305 | 15.04473 4.774055 3.15 0.002 5.682697 24.40675 + 1399 | 12.7875 7.95713 1.61 0.108 -2.816608 28.39161 + 1400 | 11.28515 3.767414 3.00 0.003 3.897166 18.67313 + 1401 | 16.42905 4.025524 4.08 0.000 8.534913 24.3232 + 1403 | 23.89392 7.03427 3.40 0.001 10.09956 37.68828 + 1404 | 12.56087 5.878174 2.14 0.033 1.033637 24.08809 + 1405 | 14.66118 4.527454 3.24 0.001 5.782748 23.53962 + 1406 | 12.92059 3.781367 3.42 0.001 5.505249 20.33594 + 1407 | 27.58335 4.958059 5.56 0.000 17.86048 37.30621 + 1408 | 5.740049 5.908443 0.97 0.331 -5.846539 17.32664 + 1409 | 20.59391 5.783645 3.56 0.000 9.252051 31.93576 + 1410 | 16.95367 4.072643 4.16 0.000 8.967128 24.94021 + 1499 | 11.97576 6.52578 1.84 0.067 -.8214389 24.77296 + 1500 | 7.707696 4.026032 1.91 0.056 -.1874414 15.60283 + 1501 | 12.51959 3.091596 4.05 0.000 6.456897 18.58227 + 1502 | 9.746035 3.044852 3.20 0.001 3.775013 15.71706 + 1504 | 13.7577 3.415769 4.03 0.000 7.059304 20.4561 + 1505 | 20.98564 3.80098 5.52 0.000 13.53184 28.43945 + 1507 | 14.20382 3.801019 3.74 0.000 6.749941 21.65771 + 1520 | 10.85607 3.56894 3.04 0.002 3.857299 17.85484 + 1521 | 9.356925 3.11084 3.01 0.003 3.256498 15.45735 + 1522 | 22.08168 3.714153 5.95 0.000 14.79814 29.36521 + 1523 | 12.15749 3.12857 3.89 0.000 6.022299 18.29269 + 1524 | 21.41741 6.679658 3.21 0.001 8.318456 34.51637 + 1525 | 11.35045 3.500739 3.24 0.001 4.48542 18.21547 + 1526 | 20.92197 3.707668 5.64 0.000 13.65115 28.19278 + 1599 | 13.62868 3.878848 3.51 0.000 6.022174 21.23519 + 1600 | 11.61406 3.837906 3.03 0.003 4.08784 19.14028 + 1602 | 5.96246 6.188938 0.96 0.335 -6.174184 18.0991 + 1603 | 7.484451 4.429678 1.69 0.091 -1.202246 16.17115 + 1604 | 11.03971 4.827126 2.29 0.022 1.573614 20.50581 + 1605 | 10.54441 4.86454 2.17 0.030 1.00494 20.08388 + 1606 | 19.18632 6.218252 3.09 0.002 6.992188 31.38045 + 1608 | 16.6745 3.043742 5.48 0.000 10.70565 22.64334 + 1609 | 20.82426 3.092574 6.73 0.000 14.75966 26.88887 + 1610 | 13.53744 6.222318 2.18 0.030 1.335337 25.73955 + 1611 | 9.699384 3.828278 2.53 0.011 2.192045 17.20672 + 1612 | 16.48314 3.890391 4.24 0.000 8.853999 24.11228 + 1614 | 6.454417 7.461348 0.87 0.387 -8.177452 21.08629 + 1615 | 12.55037 3.562248 3.52 0.000 5.564719 19.53601 + 1616 | 7.760773 3.671117 2.11 0.035 .5616314 14.95991 + 1617 | 15.38344 5.739673 2.68 0.007 4.127816 26.63907 + 1619 | 8.8935 4.825099 1.84 0.065 -.5686257 18.35563 + 1620 | 18.05937 6.44502 2.80 0.005 5.42054 30.69819 + 1698 | 12.40778 6.865358 1.81 0.071 -1.055336 25.8709 + 1699 | 17.81989 3.74956 4.75 0.000 10.46692 25.17286 + 1700 | 9.182763 5.266591 1.74 0.081 -1.14514 19.51067 + 1701 | 12.55722 4.500859 2.79 0.005 3.730931 21.3835 + 1704 | 15.68327 5.185962 3.02 0.003 5.513487 25.85306 + 1705 | 4.071856 7.679711 0.53 0.596 -10.98823 19.13194 + 1706 | 13.52292 3.419959 3.95 0.000 6.816309 20.22954 + 1707 | 12.33332 3.599992 3.43 0.001 5.273652 19.39298 + 1708 | 18.02502 5.061481 3.56 0.000 8.09934 27.95069 + 1709 | 18.71557 3.483788 5.37 0.000 11.88379 25.54736 + 1798 | 17.17858 4.501044 3.82 0.000 8.35193 26.00522 + 1799 | 5.720919 8.851748 0.65 0.518 -11.63755 23.07939 + 1800 | 9.044952 3.85796 2.34 0.019 1.479407 16.6105 + 1802 | 16.20396 3.463485 4.68 0.000 9.411988 22.99593 + 1803 | 8.5963 3.763928 2.28 0.022 1.215154 15.97745 + 1804 | 13.51044 4.478194 3.02 0.003 4.7286 22.29228 + 1806 | 5.134556 4.233039 1.21 0.225 -3.166527 13.43564 + 1807 | -2.440325 2.768425 -0.88 0.378 -7.869267 2.988618 + 1808 | .2120986 3.913356 0.05 0.957 -7.46208 7.886277 + 1899 | -2.739896 7.44024 -0.37 0.713 -17.33037 11.85058 + 1900 | 10.43006 4.273712 2.44 0.015 2.049213 18.8109 + 1901 | 9.505676 3.528015 2.69 0.007 2.58716 16.42419 + 1902 | 20.95135 4.939891 4.24 0.000 11.26411 30.63858 + 1905 | 29.15563 7.058212 4.13 0.000 15.31432 42.99694 + 1906 | 11.49918 4.251407 2.70 0.007 3.162072 19.83628 + 1907 | 22.01472 5.654467 3.89 0.000 10.92618 33.10325 + 1908 | 17.90155 7.958505 2.25 0.025 2.294743 33.50835 + 1909 | 34.55719 8.282296 4.17 0.000 18.31543 50.79896 + 1910 | 23.05683 9.512846 2.42 0.015 4.40193 41.71173 + 1911 | 18.87296 9.550745 1.98 0.048 .1437333 37.60218 + 1912 | -8.141037 3.184678 -2.56 0.011 -14.38626 -1.895814 + 1914 | 17.45666 5.314722 3.28 0.001 7.034375 27.87895 + 1915 | 15.43272 9.781979 1.58 0.115 -3.749962 34.61539 + 1919 | 15.9663 4.485677 3.56 0.000 7.169784 24.76281 + 1920 | 10.97091 4.169741 2.63 0.009 2.793955 19.14786 + 1925 | 24.22732 5.065259 4.78 0.000 14.29424 34.1604 + 1926 | 1.062498 3.797305 0.28 0.780 -6.384102 8.509098 + 1927 | 7.391819 3.471314 2.13 0.033 .584494 14.19914 + 1929 | 10.2035 3.927898 2.60 0.009 2.50081 17.9062 + 1999 | 15.1928 13.08114 1.16 0.246 -10.4596 40.84519 + 2000 | 5.660764 2.952331 1.92 0.055 -.1288222 11.45035 + 2001 | 7.631373 3.292309 2.32 0.021 1.175082 14.08766 + 2002 | 6.67575 2.962522 2.25 0.024 .8661782 12.48532 + 2003 | 13.09185 3.569325 3.67 0.000 6.092327 20.09138 + 2004 | 15.21149 2.994402 5.08 0.000 9.339407 21.08358 + 2005 | 6.071648 6.32933 0.96 0.338 -6.340308 18.4836 + 2006 | 27.21297 3.224287 8.44 0.000 20.89007 33.53586 + 2007 | 2.251279 3.445385 0.65 0.514 -4.505197 9.007756 + 2008 | 21.97471 2.889434 7.61 0.000 16.30846 27.64095 + 2009 | 3.172545 3.881062 0.82 0.414 -4.438303 10.78339 + 2011 | 5.408982 2.877753 1.88 0.060 -.2343556 11.05232 + 2012 | 3.719874 2.890459 1.29 0.198 -1.948379 9.388128 + 2013 | 4.165483 4.629014 0.90 0.368 -4.912116 13.24308 + 2014 | 6.994355 3.999706 1.75 0.080 -.8491574 14.83787 + 2015 | 13.43854 5.233659 2.57 0.010 3.175215 23.70186 + 2030 | 7.153546 4.704149 1.52 0.128 -2.071395 16.37849 + 2099 | 11.84501 4.684309 2.53 0.012 2.658976 21.03104 + 2100 | 2.396512 3.288403 0.73 0.466 -4.052119 8.845143 + 2101 | 18.29401 2.921418 6.26 0.000 12.56505 24.02298 + 2102 | 14.687 3.092244 4.75 0.000 8.623043 20.75096 + 2103 | 6.564703 2.860325 2.30 0.022 .9555411 12.17386 + 2104 | 9.175143 2.949648 3.11 0.002 3.390818 14.95947 + 2105 | 17.81908 5.193204 3.43 0.001 7.635092 28.00307 + 2199 | 4.644834 8.915136 0.52 0.602 -12.83795 22.12761 + 9999 | 4.643591 3.983598 1.17 0.244 -3.168332 12.45551 + | + house_administration | -4.155637 1.183114 -3.51 0.000 -6.475749 -1.835525 + house_agriculture | 2.666456 .975226 2.73 0.006 .7540157 4.578895 + house_appropriations | -11.37696 1.403798 -8.10 0.000 -14.12984 -8.624083 + house_armedservices | .36706 .9599825 0.38 0.702 -1.515487 2.249607 + house_budget | -.8578529 1.228913 -0.70 0.485 -3.267779 1.552073 + house_dc | 3.413564 5.209873 0.66 0.512 -6.803113 13.63024 + house_educlabor | -.338993 .8570874 -0.40 0.692 -2.01976 1.341774 + house_energycommerce | 3.665965 .6050368 6.06 0.000 2.479474 4.852455 + house_foreignaffairs | 4.202742 2.027702 2.07 0.038 .2263737 8.179109 + house_governmentop | -1.110007 1.238115 -0.90 0.370 -3.537979 1.317964 + house_intelligence | -5.023949 3.134073 -1.60 0.109 -11.16994 1.122036 + house_interior | -.1946764 1.644751 -0.12 0.906 -3.42007 3.030718 + house_judiciary | -2.536805 .5612125 -4.52 0.000 -3.637355 -1.436255 + house_mmf | 1.213715 2.046235 0.59 0.553 -2.798998 5.226428 + house_pocs | 2.756714 1.611203 1.71 0.087 -.4028911 5.916319 + house_pwt | .7794074 1.616849 0.48 0.630 -2.39127 3.950085 + house_rules | -3.527001 .9411487 -3.75 0.000 -5.372614 -1.681387 + house_sst | 4.675227 3.689656 1.27 0.205 -2.560271 11.91072 + house_smallbusi | 5.895844 3.054704 1.93 0.054 -.0944994 11.88619 + house_soc | 4.96388 6.420479 0.77 0.440 -7.626822 17.55458 + house_veterans | 5.029452 1.308953 3.84 0.000 2.462566 7.596338 + house_waysandmeans | -1.881584 .5443312 -3.46 0.001 -2.94903 -.8141386 +house_naturalresources | .9120171 1.401296 0.65 0.515 -1.835956 3.65999 + house_bfs | -.4390223 .8571421 -0.51 0.609 -2.119897 1.241852 + house_eeo | -4.953277 1.731937 -2.86 0.004 -8.349644 -1.556909 + house_govreform | 1.221666 .8794988 1.39 0.165 -.503051 2.946382 + house_ir | 4.248204 1.426979 2.98 0.003 1.449866 7.046541 + house_natsecur | -1.349295 1.930939 -0.70 0.485 -5.135908 2.437318 + house_oversight | .3120429 1.174861 0.27 0.791 -1.991885 2.615971 + house_resources | -6.882429 .9471475 -7.27 0.000 -8.739807 -5.025052 + house_science | 3.48731 1.573931 2.22 0.027 .4007959 6.573824 + house_transp | 2.200073 .9857054 2.23 0.026 .267083 4.133063 + house_homeland | -1.526143 1.742411 -0.88 0.381 -4.943049 1.890764 + sponsor_democrat | 0 (omitted) + sponsor_rookie | -2.894702 .7167983 -4.04 0.000 -4.300359 -1.489045 + sponsor_tenure_run | .2005211 .0969189 2.07 0.039 .010461 .3905812 + sponsor_age | .0055399 .0285022 0.19 0.846 -.0503535 .0614334 + leader | -1.392244 .7563462 -1.84 0.066 -2.875456 .0909672 + ivycoll | 1.112414 .8692759 1.28 0.201 -.5922551 2.817084 + black | -3.07331 2.518604 -1.22 0.223 -8.012348 1.865729 + occ0 | 5.140842 .7737512 6.64 0.000 3.623498 6.658185 + occ1 | 3.205038 1.023158 3.13 0.002 1.198602 5.211474 + occ2 | 3.857124 .6933885 5.56 0.000 2.497374 5.216874 + occ3 | -1.939966 .9767435 -1.99 0.047 -3.855382 -.0245507 + occ4 | 2.764734 .6579626 4.20 0.000 1.474455 4.055014 + borninstate | .988472 .4807088 2.06 0.040 .0457914 1.931153 + tot_bills | -.0167625 .0233907 -0.72 0.474 -.0626322 .0291071 + _cons | 3.575234 3.139345 1.14 0.255 -2.58109 9.731559 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,244 1 0 1 1 +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if tag_bill==1, robust cluster( +> group_sponsor) + +Linear regression Number of obs = 61,331 + F(277, 4790) = . + Prob > F = . + R-squared = 0.0834 + Root MSE = 20.426 + + (Std. Err. adjusted for 4,791 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -.8959975 .5601955 -1.60 0.110 -1.994238 .202243 + | + v2 | + 102 | -1.656583 .7455689 -2.22 0.026 -3.11824 -.1949252 + 103 | -4.534584 .9879784 -4.59 0.000 -6.471475 -2.597692 + 104 | -4.103663 1.083219 -3.79 0.000 -6.227271 -1.980056 + 105 | -3.293377 1.07865 -3.05 0.002 -5.408026 -1.178729 + 106 | -1.968459 1.054072 -1.87 0.062 -4.034924 .0980055 + 107 | -2.175701 1.086674 -2.00 0.045 -4.30608 -.0453215 + 108 | -11.24787 2.966367 -3.79 0.000 -17.06331 -5.432427 + 109 | -12.02816 2.930676 -4.10 0.000 -17.77363 -6.282686 + 110 | -12.93315 2.917641 -4.43 0.000 -18.65306 -7.213229 + 111 | -14.55762 2.952116 -4.93 0.000 -20.34512 -8.770115 + | + minor | + 101 | -.7765181 3.767542 -0.21 0.837 -8.162632 6.609596 + 103 | -1.527825 3.963859 -0.39 0.700 -9.29881 6.24316 + 104 | -.8295732 2.783774 -0.30 0.766 -6.287048 4.627902 + 105 | .8280371 2.113425 0.39 0.695 -3.315246 4.97132 + 107 | .9640452 1.939116 0.50 0.619 -2.837514 4.765604 + 108 | 3.866403 3.239832 1.19 0.233 -2.485156 10.21796 + 110 | -6.311677 2.161668 -2.92 0.004 -10.54954 -2.073814 + 200 | .9100555 2.190257 0.42 0.678 -3.383854 5.203965 + 201 | -2.072564 2.379741 -0.87 0.384 -6.73795 2.592821 + 202 | 3.254359 2.882718 1.13 0.259 -2.397092 8.905811 + 204 | 15.64846 4.380737 3.57 0.000 7.060204 24.23672 + 205 | 8.810892 3.842423 2.29 0.022 1.277977 16.34381 + 206 | -3.394198 2.303796 -1.47 0.141 -7.910696 1.1223 + 207 | 1.976262 2.260699 0.87 0.382 -2.455746 6.40827 + 208 | 3.228193 2.215304 1.46 0.145 -1.11482 7.571207 + 209 | -8.60234 2.302034 -3.74 0.000 -13.11538 -4.089296 + 299 | 2.821388 3.40397 0.83 0.407 -3.851956 9.494732 + 300 | 5.955508 2.485524 2.40 0.017 1.082739 10.82828 + 301 | 4.129294 2.110718 1.96 0.050 -.0086831 8.267271 + 302 | 4.244769 2.000897 2.12 0.034 .322092 8.167446 + 321 | 7.238171 2.209586 3.28 0.001 2.906368 11.56997 + 322 | 9.588048 2.206077 4.35 0.000 5.263123 13.91297 + 323 | 10.0908 2.295424 4.40 0.000 5.59071 14.59088 + 324 | -.920361 2.310935 -0.40 0.690 -5.450854 3.610132 + 325 | 10.10207 2.257029 4.48 0.000 5.677262 14.52689 + 331 | 13.3868 2.25779 5.93 0.000 8.960495 17.81311 + 332 | 8.330274 2.208841 3.77 0.000 3.999931 12.66062 + 333 | 7.935316 2.589921 3.06 0.002 2.857882 13.01275 + 334 | 8.871571 2.206378 4.02 0.000 4.546057 13.19708 + 335 | .6553186 2.328377 0.28 0.778 -3.90937 5.220007 + 336 | 12.39614 2.330603 5.32 0.000 7.827086 16.96519 + 341 | 7.56979 2.767314 2.74 0.006 2.144584 12.995 + 342 | 10.26696 4.47393 2.29 0.022 1.496 19.03792 + 343 | 4.804306 2.791021 1.72 0.085 -.6673763 10.27599 + 344 | 6.27302 4.028688 1.56 0.120 -1.625059 14.1711 + 398 | 14.18791 2.278538 6.23 0.000 9.720927 18.65489 + 399 | 6.625395 3.125294 2.12 0.034 .498383 12.75241 + 400 | 3.251568 2.769263 1.17 0.240 -2.177459 8.680595 + 401 | 7.885711 2.674107 2.95 0.003 2.643233 13.12819 + 402 | 6.646051 2.14372 3.10 0.002 2.443376 10.84873 + 403 | 1.098862 2.26178 0.49 0.627 -3.335265 5.532988 + 404 | 7.693801 3.012593 2.55 0.011 1.787734 13.59987 + 405 | 16.53907 3.558507 4.65 0.000 9.562764 23.51538 + 498 | 8.587932 3.323001 2.58 0.010 2.073324 15.10254 + 499 | 4.529413 3.4822 1.30 0.193 -2.297299 11.35613 + 500 | 2.309068 3.181597 0.73 0.468 -3.928323 8.546458 + 501 | 1.739451 2.279046 0.76 0.445 -2.728526 6.207428 + 502 | 2.488396 2.27272 1.09 0.274 -1.96718 6.943972 + 503 | 1.192264 1.949622 0.61 0.541 -2.62989 5.014418 + 504 | -2.941274 2.174406 -1.35 0.176 -7.204108 1.321561 + 505 | 1.412546 2.294634 0.62 0.538 -3.085991 5.911082 + 506 | 2.903835 2.65108 1.10 0.273 -2.293499 8.10117 + 508 | 1.058872 2.242713 0.47 0.637 -3.337876 5.455619 + 529 | 10.61214 3.588059 2.96 0.003 3.577895 17.64638 + 530 | 3.414114 2.0147 1.69 0.090 -.5356234 7.363852 + 599 | .6327389 3.602867 0.18 0.861 -6.430535 7.696013 + 600 | 1.06596 2.222955 0.48 0.632 -3.292053 5.423972 + 601 | 6.192461 1.992901 3.11 0.002 2.28546 10.09946 + 602 | 3.895244 2.052953 1.90 0.058 -.1294873 7.919976 + 603 | 3.393632 2.416172 1.40 0.160 -1.343175 8.130438 + 604 | 7.99919 3.460914 2.31 0.021 1.214209 14.78417 + 606 | 6.103699 2.884863 2.12 0.034 .4480421 11.75936 + 607 | 6.506099 2.254158 2.89 0.004 2.086913 10.92528 + 609 | 7.922504 3.457377 2.29 0.022 1.144457 14.70055 + 698 | 3.247722 4.960401 0.65 0.513 -6.476943 12.97239 + 699 | 3.263549 2.811234 1.16 0.246 -2.247761 8.774859 + 700 | 6.54465 2.376043 2.75 0.006 1.886514 11.20279 + 701 | 5.054873 2.313615 2.18 0.029 .5191246 9.590621 + 703 | 5.697292 2.318178 2.46 0.014 1.152598 10.24199 + 704 | 3.330893 2.162945 1.54 0.124 -.9094731 7.571258 + 705 | 2.603828 2.254772 1.15 0.248 -1.816562 7.024217 + 707 | 6.357115 2.602204 2.44 0.015 1.255601 11.45863 + 708 | -.5518646 2.717427 -0.20 0.839 -5.87927 4.775541 + 709 | 8.625931 2.124948 4.06 0.000 4.460057 12.79181 + 710 | 8.815817 2.269425 3.88 0.000 4.366702 13.26493 + 711 | 8.154115 2.568614 3.17 0.002 3.118452 13.18978 + 798 | 7.564754 3.21405 2.35 0.019 1.263739 13.86577 + 799 | 5.863143 3.828152 1.53 0.126 -1.641793 13.36808 + 800 | 1.326977 2.390706 0.56 0.579 -3.359905 6.013859 + 801 | 5.266993 2.699432 1.95 0.051 -.0251326 10.55912 + 802 | 5.355849 2.296337 2.33 0.020 .8539739 9.857724 + 803 | 2.383813 2.075928 1.15 0.251 -1.685959 6.453585 + 805 | 6.342883 3.3368 1.90 0.057 -.1987782 12.88454 + 806 | 7.604109 2.180918 3.49 0.000 3.328507 11.87971 + 807 | 7.650591 2.446034 3.13 0.002 2.855242 12.44594 + 898 | 3.494791 3.600969 0.97 0.332 -3.564762 10.55434 + 899 | -2.198602 4.67927 -0.47 0.638 -11.37212 6.974917 + 1000 | 6.850746 2.649964 2.59 0.010 1.655598 12.04589 + 1001 | 10.45197 3.140377 3.33 0.001 4.295391 16.60855 + 1002 | 6.940685 2.309944 3.00 0.003 2.412133 11.46924 + 1003 | 7.757347 2.098744 3.70 0.000 3.642845 11.87185 + 1005 | 6.277816 2.618732 2.40 0.017 1.143898 11.41173 + 1006 | 7.820073 2.324702 3.36 0.001 3.262589 12.37756 + 1007 | 7.261051 2.30295 3.15 0.002 2.74621 11.77589 + 1010 | 1.653135 3.29341 0.50 0.616 -4.803462 8.109732 + 1098 | 2.238201 4.027794 0.56 0.578 -5.658125 10.13453 + 1099 | 4.996213 7.299056 0.68 0.494 -9.31329 19.30572 + 1200 | 3.410357 2.991482 1.14 0.254 -2.454322 9.275036 + 1201 | 7.49748 2.362191 3.17 0.002 2.866501 12.12846 + 1202 | 8.557273 2.856604 3.00 0.003 2.957016 14.15753 + 1203 | 3.341914 2.193569 1.52 0.128 -.9584899 7.642317 + 1204 | 5.363401 2.280883 2.35 0.019 .8918213 9.83498 + 1205 | 4.423562 2.440805 1.81 0.070 -.3615371 9.20866 + 1206 | 4.169799 2.574682 1.62 0.105 -.8777606 9.217358 + 1207 | 6.582667 2.296339 2.87 0.004 2.080788 11.08455 + 1208 | 6.740159 2.120674 3.18 0.001 2.582663 10.89765 + 1209 | 4.05332 2.05789 1.97 0.049 .0189109 8.087729 + 1210 | 3.208842 2.193798 1.46 0.144 -1.09201 7.509694 + 1211 | 4.49234 2.537652 1.77 0.077 -.4826227 9.467303 + 1299 | 6.233007 3.87486 1.61 0.108 -1.363499 13.82951 + 1300 | 2.219822 2.647254 0.84 0.402 -2.970011 7.409655 + 1301 | 5.358351 2.451499 2.19 0.029 .5522878 10.16442 + 1302 | .537221 2.322453 0.23 0.817 -4.015854 5.090296 + 1303 | 1.127413 2.168044 0.52 0.603 -3.122949 5.377776 + 1304 | 6.972204 2.39735 2.91 0.004 2.272296 11.67211 + 1305 | 7.896911 2.705016 2.92 0.004 2.593838 13.19998 + 1399 | 4.593237 5.284231 0.87 0.385 -5.766283 14.95276 + 1400 | 5.330282 2.312006 2.31 0.021 .7976872 9.862877 + 1401 | 7.935345 2.514131 3.16 0.002 3.006494 12.8642 + 1403 | 7.840765 3.204417 2.45 0.014 1.558635 14.1229 + 1404 | 3.014742 3.907297 0.77 0.440 -4.645354 10.67484 + 1405 | 6.731001 2.633202 2.56 0.011 1.568714 11.89329 + 1406 | 3.728786 2.23568 1.67 0.095 -.6541736 8.111745 + 1407 | 11.12161 2.988772 3.72 0.000 5.262244 16.98097 + 1408 | 1.463782 3.291427 0.44 0.657 -4.988928 7.916492 + 1409 | 10.20696 3.538754 2.88 0.004 3.269375 17.14454 + 1410 | 7.959522 2.786744 2.86 0.004 2.496224 13.42282 + 1499 | 3.004268 4.428922 0.68 0.498 -5.678455 11.68699 + 1500 | 3.571786 2.783746 1.28 0.200 -1.885634 9.029206 + 1501 | 5.43881 2.082933 2.61 0.009 1.355303 9.522316 + 1502 | 5.165649 2.164168 2.39 0.017 .9228856 9.408412 + 1504 | 4.465454 2.158851 2.07 0.039 .2331144 8.697794 + 1505 | 10.12123 2.583265 3.92 0.000 5.056839 15.18561 + 1507 | 6.24619 2.683986 2.33 0.020 .9843453 11.50803 + 1520 | 2.633392 2.371498 1.11 0.267 -2.015833 7.282618 + 1521 | 5.236864 2.128287 2.46 0.014 1.064443 9.409284 + 1522 | 16.81789 2.752056 6.11 0.000 11.4226 22.21319 + 1523 | 5.530235 2.112448 2.62 0.009 1.388867 9.671602 + 1524 | 13.82422 4.196535 3.29 0.001 5.59708 22.05135 + 1525 | 2.66546 2.116212 1.26 0.208 -1.483288 6.814208 + 1526 | 10.54354 2.544417 4.14 0.000 5.55531 15.53176 + 1599 | 10.92526 3.356716 3.25 0.001 4.344556 17.50597 + 1600 | 7.64425 2.541561 3.01 0.003 2.661622 12.62688 + 1602 | -.1765124 3.214558 -0.05 0.956 -6.478522 6.125497 + 1603 | -.2240322 2.982291 -0.08 0.940 -6.070693 5.622629 + 1604 | 7.815053 4.38359 1.78 0.075 -.7787965 16.4089 + 1605 | 2.689552 2.720704 0.99 0.323 -2.644279 8.023382 + 1606 | 8.358479 3.576848 2.34 0.019 1.346214 15.37074 + 1608 | 8.161015 2.040457 4.00 0.000 4.160783 12.16125 + 1609 | 9.000399 2.097163 4.29 0.000 4.888997 13.1118 + 1610 | 5.366404 2.978943 1.80 0.072 -.4736924 11.2065 + 1611 | 3.754042 2.616245 1.43 0.151 -1.375 8.883083 + 1612 | 6.986996 2.514374 2.78 0.005 2.057669 11.91632 + 1614 | 4.514763 3.492976 1.29 0.196 -2.333076 11.3626 + 1615 | 6.037506 2.470222 2.44 0.015 1.194736 10.88028 + 1616 | 4.080131 2.471031 1.65 0.099 -.7642251 8.924488 + 1617 | 3.404969 3.133111 1.09 0.277 -2.737368 9.547306 + 1619 | .0306502 2.544598 0.01 0.990 -4.95793 5.019231 + 1620 | 8.947647 3.841789 2.33 0.020 1.415976 16.47932 + 1698 | 11.43029 4.555984 2.51 0.012 2.498468 20.36211 + 1699 | 11.26403 2.452925 4.59 0.000 6.455173 16.07289 + 1700 | 7.944994 3.43389 2.31 0.021 1.212993 14.677 + 1701 | 8.583759 2.834324 3.03 0.002 3.027181 14.14034 + 1704 | 14.99035 4.048306 3.70 0.000 7.05381 22.92689 + 1705 | 4.638777 4.60632 1.01 0.314 -4.391727 13.66928 + 1706 | 8.368534 2.347724 3.56 0.000 3.765916 12.97115 + 1707 | 7.61167 2.285686 3.33 0.001 3.130675 12.09267 + 1708 | 12.05413 3.135889 3.84 0.000 5.906343 18.20191 + 1709 | 13.51795 2.538219 5.33 0.000 8.541873 18.49402 + 1798 | 9.007346 2.796991 3.22 0.001 3.523958 14.49073 + 1799 | 2.880807 5.16266 0.56 0.577 -7.240377 13.00199 + 1800 | 2.295985 2.555254 0.90 0.369 -2.713486 7.305455 + 1802 | 7.065397 2.332653 3.03 0.002 2.492325 11.63847 + 1803 | 3.77719 2.419552 1.56 0.119 -.9662444 8.520624 + 1804 | 5.830545 2.933905 1.99 0.047 .0787423 11.58235 + 1806 | 4.393133 2.897985 1.52 0.130 -1.288248 10.07451 + 1807 | -7.199849 1.929161 -3.73 0.000 -10.98189 -3.417807 + 1808 | 1.947197 4.980858 0.39 0.696 -7.817572 11.71197 + 1899 | 1.828198 6.435702 0.28 0.776 -10.78874 14.44513 + 1900 | 5.450536 2.911293 1.87 0.061 -.2569363 11.15801 + 1901 | 4.632857 2.255845 2.05 0.040 .2103648 9.055349 + 1902 | 9.978462 2.938433 3.40 0.001 4.217783 15.73914 + 1905 | 7.769836 3.22411 2.41 0.016 1.449099 14.09057 + 1906 | 6.430627 2.676641 2.40 0.016 1.183181 11.67807 + 1907 | 13.41485 4.151034 3.23 0.001 5.276921 21.55279 + 1908 | 9.146287 4.209033 2.17 0.030 .8946477 17.39793 + 1909 | 17.01292 5.010376 3.40 0.001 7.190277 26.83556 + 1910 | 9.440998 5.486967 1.72 0.085 -1.315977 20.19797 + 1911 | 5.16937 3.520147 1.47 0.142 -1.731735 12.07047 + 1912 | -6.937992 2.841857 -2.44 0.015 -12.50934 -1.366648 + 1914 | 4.162181 2.68923 1.55 0.122 -1.109946 9.434307 + 1915 | 16.60599 5.982583 2.78 0.006 4.87738 28.3346 + 1919 | 11.93185 3.608746 3.31 0.001 4.85705 19.00665 + 1920 | 7.183763 2.612096 2.75 0.006 2.062856 12.30467 + 1925 | 9.700243 3.088829 3.14 0.002 3.644718 15.75577 + 1926 | .4728661 2.803922 0.17 0.866 -5.024109 5.969841 + 1927 | 3.883401 2.664916 1.46 0.145 -1.341059 9.107861 + 1929 | 5.655981 2.697619 2.10 0.036 .3674086 10.94455 + 1999 | 5.604115 7.995307 0.70 0.483 -10.07036 21.27859 + 2000 | 1.563541 2.070386 0.76 0.450 -2.495367 5.622448 + 2001 | 2.950588 2.304465 1.28 0.200 -1.567222 7.468398 + 2002 | 1.293726 2.120496 0.61 0.542 -2.86342 5.450873 + 2003 | 6.471603 2.401625 2.69 0.007 1.763315 11.17989 + 2004 | 7.786325 2.062475 3.78 0.000 3.742927 11.82972 + 2005 | 11.7365 4.475922 2.62 0.009 2.961634 20.51136 + 2006 | 19.35359 2.177814 8.89 0.000 15.08407 23.6231 + 2007 | -.9492355 2.325215 -0.41 0.683 -5.507726 3.609255 + 2008 | 16.29824 2.02769 8.04 0.000 12.32304 20.27345 + 2009 | 3.57739 3.039062 1.18 0.239 -2.380567 9.535347 + 2010 | -4.964971 2.082803 -2.38 0.017 -9.048221 -.8817202 + 2011 | 2.294597 2.100724 1.09 0.275 -1.823787 6.41298 + 2012 | -.6589812 2.048517 -0.32 0.748 -4.675016 3.357054 + 2013 | .345985 3.548355 0.10 0.922 -6.610421 7.302391 + 2014 | 5.068835 2.844174 1.78 0.075 -.5070524 10.64472 + 2015 | 5.728235 3.285589 1.74 0.081 -.7130295 12.1695 + 2030 | 3.52251 3.311555 1.06 0.288 -2.969659 10.01468 + 2099 | 8.505668 2.856715 2.98 0.003 2.905194 14.10614 + 2100 | .4640811 2.502191 0.19 0.853 -4.441363 5.369525 + 2101 | 8.304413 2.022223 4.11 0.000 4.339927 12.2689 + 2102 | 7.338465 2.107772 3.48 0.001 3.206262 11.47067 + 2103 | 3.671302 2.025736 1.81 0.070 -.300071 7.642674 + 2104 | 4.656874 2.084812 2.23 0.026 .5696843 8.744064 + 2105 | 10.3137 3.600224 2.86 0.004 3.255611 17.3718 + 2199 | 2.564936 7.408997 0.35 0.729 -11.9601 17.08997 + 9999 | 2.435761 2.646654 0.92 0.357 -2.752896 7.624419 + | + house_administration | -1.341638 .7956998 -1.69 0.092 -2.901575 .2182993 + house_agriculture | 1.162464 .5842722 1.99 0.047 .0170224 2.307906 + house_appropriations | -10.02652 .8527758 -11.76 0.000 -11.69835 -8.354687 + house_armedservices | -1.317575 .54918 -2.40 0.016 -2.39422 -.2409299 + house_budget | -1.896259 .9011632 -2.10 0.035 -3.662953 -.129565 + house_dc | -1.986168 2.909547 -0.68 0.495 -7.690217 3.717881 + house_educlabor | -2.641974 .4166367 -6.34 0.000 -3.458774 -1.825175 + house_energycommerce | .2584793 .3563717 0.73 0.468 -.4401729 .9571316 + house_foreignaffairs | 2.215425 .8812251 2.51 0.012 .4878192 3.943031 + house_governmentop | .0635537 .9513231 0.07 0.947 -1.801477 1.928584 + house_intelligence | -1.529827 1.849517 -0.83 0.408 -5.155729 2.096075 + house_interior | -2.231376 .9161667 -2.44 0.015 -4.027484 -.4352684 + house_judiciary | .0803712 .3784699 0.21 0.832 -.6616036 .8223459 + house_mmf | 2.938588 1.134907 2.59 0.010 .713648 5.163527 + house_pocs | 1.252279 .8980892 1.39 0.163 -.5083879 3.012947 + house_pwt | -.1157561 .8654657 -0.13 0.894 -1.812466 1.580954 + house_rules | -1.693111 .7410134 -2.28 0.022 -3.145838 -.2403847 + house_sst | 1.141828 1.535992 0.74 0.457 -1.869422 4.153077 + house_smallbusi | -1.238663 1.520604 -0.81 0.415 -4.219746 1.74242 + house_soc | 2.194469 4.279476 0.51 0.608 -6.19527 10.58421 + house_veterans | 1.09081 .7735515 1.41 0.159 -.4257064 2.607326 + house_waysandmeans | .2252159 .344089 0.65 0.513 -.4493567 .8997885 +house_naturalresources | -1.65634 .7555759 -2.19 0.028 -3.137616 -.1750643 + house_bfs | -1.39204 .4942762 -2.82 0.005 -2.361049 -.4230321 + house_eeo | -3.572021 1.114144 -3.21 0.001 -5.756254 -1.387788 + house_govreform | 2.387591 .585676 4.08 0.000 1.239397 3.535785 + house_ir | 3.82946 .9536252 4.02 0.000 1.959916 5.699003 + house_natsecur | -.0623394 1.26736 -0.05 0.961 -2.546947 2.422268 + house_oversight | -.9220641 .7970949 -1.16 0.247 -2.484736 .6406081 + house_resources | -2.806729 .6621955 -4.24 0.000 -4.104936 -1.508521 + house_science | 1.276485 .9911917 1.29 0.198 -.6667063 3.219676 + house_transp | -.0800398 .6197457 -0.13 0.897 -1.295026 1.134946 + house_homeland | -.2493953 1.076054 -0.23 0.817 -2.358956 1.860165 + NE | -1.859038 .5866748 -3.17 0.002 -3.00919 -.7088854 + MW | -1.481818 .4404981 -3.36 0.001 -2.345397 -.6182394 + WE | -4.015942 .5201072 -7.72 0.000 -5.035591 -2.996293 + pct_black | -6.440641 1.28622 -5.01 0.000 -8.962223 -3.919058 + pct_urban | 1.462564 1.238529 1.18 0.238 -.9655221 3.890649 + pct_for_born | -5.183777 2.497022 -2.08 0.038 -10.07909 -.288468 + pct_age_over65 | 22.8976 4.931193 4.64 0.000 13.2302 32.565 + lninc | 6.101638 1.062329 5.74 0.000 4.018985 8.184291 + lnpden | -.7617763 .1839935 -4.14 0.000 -1.122488 -.4010646 + _cons | -46.42506 10.54759 -4.40 0.000 -67.10318 -25.74694 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,791 1 0 1 1 +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if sponsor_party==100 & tag_bil +> l==1, robust cluster(group_sponsor) + +Linear regression Number of obs = 33,042 + F(277, 2504) = . + Prob > F = . + R-squared = 0.0927 + Root MSE = 17.295 + + (Std. Err. adjusted for 2,505 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -1.647629 .4071354 -4.05 0.000 -2.445986 -.8492726 + | + v2 | + 102 | -1.79359 .6435451 -2.79 0.005 -3.055525 -.5316547 + 103 | .4644425 .9119162 0.51 0.611 -1.323745 2.25263 + 104 | -1.768097 1.07372 -1.65 0.100 -3.873567 .3373732 + 105 | -1.716511 .9783187 -1.75 0.079 -3.634908 .2018852 + 106 | -1.529205 .9117875 -1.68 0.094 -3.31714 .2587295 + 107 | -1.594726 .9627843 -1.66 0.098 -3.482661 .2932089 + 108 | -7.647638 2.89316 -2.64 0.008 -13.32087 -1.974407 + 109 | -7.792286 2.882548 -2.70 0.007 -13.44471 -2.139864 + 110 | -2.085892 2.857566 -0.73 0.465 -7.689327 3.517542 + 111 | -4.236378 2.900189 -1.46 0.144 -9.923394 1.450637 + | + minor | + 101 | -6.55388 3.983751 -1.65 0.100 -14.36566 1.257905 + 103 | -8.064077 3.195237 -2.52 0.012 -14.32965 -1.7985 + 104 | -2.872126 4.804327 -0.60 0.550 -12.29299 6.548736 + 105 | -3.974701 3.058036 -1.30 0.194 -9.97124 2.021839 + 107 | -.9435704 2.812712 -0.34 0.737 -6.459052 4.571911 + 108 | 1.153501 4.006968 0.29 0.773 -6.703809 9.010811 + 110 | -12.20588 3.006801 -4.06 0.000 -18.10195 -6.309804 + 200 | -4.050205 3.043772 -1.33 0.183 -10.01877 1.918362 + 201 | -9.895761 2.895605 -3.42 0.001 -15.57379 -4.217734 + 202 | -6.060776 2.859675 -2.12 0.034 -11.66835 -.4532053 + 204 | 4.433499 4.914989 0.90 0.367 -5.20436 14.07136 + 205 | 2.761578 4.197042 0.66 0.511 -5.468451 10.99161 + 206 | -10.67185 2.94592 -3.62 0.000 -16.44854 -4.89516 + 207 | .7213932 3.329077 0.22 0.828 -5.806634 7.24942 + 208 | -1.813218 3.008837 -0.60 0.547 -7.713281 4.086845 + 209 | -10.48479 2.849848 -3.68 0.000 -16.07309 -4.896493 + 299 | -4.571924 6.665305 -0.69 0.493 -17.642 8.498152 + 300 | -3.056306 3.066993 -1.00 0.319 -9.070409 2.957798 + 301 | -2.022493 2.92038 -0.69 0.489 -7.749101 3.704115 + 302 | -1.521853 2.835951 -0.54 0.592 -7.082903 4.039198 + 321 | -.9151514 2.966974 -0.31 0.758 -6.733125 4.902822 + 322 | -1.33303 2.936896 -0.45 0.650 -7.092024 4.425963 + 323 | 2.947784 3.075886 0.96 0.338 -3.083758 8.979326 + 324 | -4.208342 3.183801 -1.32 0.186 -10.4515 2.034811 + 325 | .3731775 2.951611 0.13 0.899 -5.414671 6.161026 + 331 | 1.382501 2.880768 0.48 0.631 -4.266431 7.031432 + 332 | -1.843289 2.862777 -0.64 0.520 -7.456942 3.770363 + 333 | -2.26857 2.947499 -0.77 0.442 -8.048356 3.511217 + 334 | .4139941 2.896453 0.14 0.886 -5.265695 6.093683 + 335 | -6.446395 2.863457 -2.25 0.024 -12.06138 -.8314071 + 336 | 2.706451 3.007741 0.90 0.368 -3.191463 8.604365 + 341 | -1.530944 3.136431 -0.49 0.626 -7.681208 4.61932 + 342 | 1.752317 3.926401 0.45 0.655 -5.94701 9.451644 + 343 | -1.786071 3.319443 -0.54 0.591 -8.295207 4.723064 + 344 | -3.358602 3.59204 -0.94 0.350 -10.40228 3.685072 + 398 | 2.865805 2.922869 0.98 0.327 -2.865682 8.597293 + 399 | -.6473423 3.536502 -0.18 0.855 -7.58211 6.287425 + 400 | -2.299731 3.64874 -0.63 0.529 -9.454588 4.855126 + 401 | 4.026346 3.846971 1.05 0.295 -3.517226 11.56992 + 402 | 1.709114 3.06506 0.56 0.577 -4.301199 7.719426 + 403 | -2.046096 3.044115 -0.67 0.502 -8.015338 3.923146 + 404 | 1.460599 4.220898 0.35 0.729 -6.81621 9.737408 + 405 | 11.94195 4.548349 2.63 0.009 3.023041 20.86086 + 498 | 4.014785 4.96116 0.81 0.418 -5.713612 13.74318 + 499 | .7297091 5.419363 0.13 0.893 -9.897184 11.3566 + 500 | -7.110177 3.155161 -2.25 0.024 -13.29717 -.9231843 + 501 | -3.903867 3.076329 -1.27 0.205 -9.936276 2.128543 + 502 | -4.723976 2.989136 -1.58 0.114 -10.58541 1.137456 + 503 | -3.409139 2.792748 -1.22 0.222 -8.885471 2.067194 + 504 | -4.969794 2.982282 -1.67 0.096 -10.81779 .8781985 + 505 | -1.285201 3.302074 -0.39 0.697 -7.760278 5.189876 + 506 | -4.717964 3.100775 -1.52 0.128 -10.79831 1.362382 + 508 | -5.001624 2.881382 -1.74 0.083 -10.65176 .6485119 + 529 | 9.830511 5.881721 1.67 0.095 -1.703026 21.36405 + 530 | -3.167973 2.875332 -1.10 0.271 -8.806246 2.4703 + 599 | -3.355957 3.914896 -0.86 0.391 -11.03272 4.320809 + 600 | -3.172283 3.064513 -1.04 0.301 -9.181523 2.836957 + 601 | -.3764658 2.811076 -0.13 0.893 -5.888738 5.135806 + 602 | -3.587627 2.798557 -1.28 0.200 -9.075351 1.900096 + 603 | -4.174542 2.96663 -1.41 0.160 -9.991843 1.642759 + 604 | -.1537948 4.355881 -0.04 0.972 -8.695294 8.387705 + 606 | -.250609 3.399717 -0.07 0.941 -6.917154 6.415936 + 607 | -2.248429 2.891121 -0.78 0.437 -7.917663 3.420805 + 609 | -.3245452 3.805645 -0.09 0.932 -7.78708 7.13799 + 698 | 2.127419 5.532145 0.38 0.701 -8.72063 12.97547 + 699 | -.7949501 3.251392 -0.24 0.807 -7.170644 5.580743 + 700 | -.6528174 3.164137 -0.21 0.837 -6.85741 5.551776 + 701 | -2.196651 3.078319 -0.71 0.476 -8.232963 3.83966 + 703 | -.5559726 3.153345 -0.18 0.860 -6.739404 5.627459 + 704 | -2.405861 2.954548 -0.81 0.416 -8.199469 3.387746 + 705 | -.4287029 3.209752 -0.13 0.894 -6.722743 5.865337 + 707 | .5191118 3.179963 0.16 0.870 -5.716515 6.754738 + 708 | -6.740497 3.049602 -2.21 0.027 -12.7205 -.7604968 + 709 | 3.307615 2.945117 1.12 0.262 -2.467501 9.082731 + 710 | 1.298734 3.132531 0.41 0.678 -4.843883 7.441351 + 711 | -1.230977 3.307606 -0.37 0.710 -7.7169 5.254947 + 798 | -3.098375 3.542874 -0.87 0.382 -10.04564 3.84889 + 799 | -1.143986 5.093437 -0.22 0.822 -11.13177 8.843795 + 800 | -4.153124 3.128637 -1.33 0.184 -10.2881 1.981857 + 801 | 2.151372 3.680559 0.58 0.559 -5.06588 9.368625 + 802 | 1.901763 3.239323 0.59 0.557 -4.450264 8.253791 + 803 | -2.357386 2.98121 -0.79 0.429 -8.203277 3.488504 + 805 | 4.37618 4.82334 0.91 0.364 -5.081963 13.83432 + 806 | 3.222234 3.027857 1.06 0.287 -2.715126 9.159594 + 807 | -.5821539 3.220294 -0.18 0.857 -6.896867 5.732559 + 898 | 1.811266 4.470116 0.41 0.685 -6.954238 10.57677 + 899 | -9.085056 3.820595 -2.38 0.017 -16.57691 -1.593205 + 1000 | .7796451 3.627542 0.21 0.830 -6.333646 7.892936 + 1001 | -4.109452 3.496894 -1.18 0.240 -10.96655 2.747648 + 1002 | .3777235 3.347458 0.11 0.910 -6.186347 6.941794 + 1003 | 2.67064 3.011995 0.89 0.375 -3.235617 8.576897 + 1005 | 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1602 | -1.93 3.777455 -0.51 0.609 -9.337257 5.477257 + 1603 | -7.896374 3.555584 -2.22 0.026 -14.86856 -.924188 + 1604 | 5.086965 6.076105 0.84 0.403 -6.827741 17.00167 + 1605 | -1.428727 3.454807 -0.41 0.679 -8.2033 5.345845 + 1606 | 3.332061 4.163581 0.80 0.424 -4.832355 11.49648 + 1608 | 1.008747 2.862926 0.35 0.725 -4.605198 6.622693 + 1609 | -.2599432 2.902562 -0.09 0.929 -5.951612 5.431726 + 1610 | .2654902 3.588202 0.07 0.941 -6.770657 7.301637 + 1611 | -1.730012 3.589212 -0.48 0.630 -8.76814 5.308116 + 1612 | -.0095132 3.26008 -0.00 0.998 -6.402243 6.383217 + 1614 | 1.92802 4.25168 0.45 0.650 -6.40915 10.26519 + 1615 | .844236 3.359193 0.25 0.802 -5.742845 7.431317 + 1616 | .1149689 3.4131 0.03 0.973 -6.577819 6.807757 + 1617 | -1.583681 3.840086 -0.41 0.680 -9.113751 5.946389 + 1619 | -6.983019 3.173048 -2.20 0.028 -13.20509 -.7609519 + 1620 | 3.679292 4.783098 0.77 0.442 -5.699941 13.05853 + 1698 | 8.166867 6.745571 1.21 0.226 -5.060602 21.39434 + 1699 | 5.817242 3.306353 1.76 0.079 -.6662246 12.30071 + 1700 | 5.611818 4.179774 1.34 0.180 -2.58435 13.80799 + 1701 | 4.390237 3.532029 1.24 0.214 -2.535761 11.31623 + 1704 | 19.45782 7.980929 2.44 0.015 3.807922 35.10772 + 1705 | 2.018374 5.708909 0.35 0.724 -9.176293 13.21304 + 1706 | 2.641991 3.209262 0.82 0.410 -3.651088 8.93507 + 1707 | 2.048578 3.033176 0.68 0.499 -3.899213 7.996369 + 1708 | 6.636484 3.936766 1.69 0.092 -1.083168 14.35614 + 1709 | 5.740274 3.546755 1.62 0.106 -1.2146 12.69515 + 1798 | -.0311243 3.517768 -0.01 0.993 -6.929158 6.866909 + 1799 | -2.90052 6.495064 -0.45 0.655 -15.63677 9.835727 + 1800 | -4.029021 3.423138 -1.18 0.239 -10.74149 2.683451 + 1802 | -.8511339 3.144934 -0.27 0.787 -7.018072 5.315804 + 1803 | -.002823 3.271409 -0.00 0.999 -6.417767 6.412121 + 1804 | -1.6365 3.895943 -0.42 0.674 -9.276102 6.003101 + 1806 | 3.289846 3.90268 0.84 0.399 -4.362965 10.94266 + 1807 | -9.531677 2.802951 -3.40 0.001 -15.02802 -4.035338 + 1808 | 9.338695 8.589942 1.09 0.277 -7.505424 26.18281 + 1899 | 2.896044 8.712015 0.33 0.740 -14.18745 19.97954 + 1900 | .5983307 3.831102 0.16 0.876 -6.914123 8.110784 + 1901 | .939903 3.017621 0.31 0.755 -4.977386 6.857192 + 1902 | 2.615796 3.680688 0.71 0.477 -4.601708 9.833301 + 1905 | -.9173153 3.341296 -0.27 0.784 -7.469301 5.634671 + 1906 | .4766066 3.231167 0.15 0.883 -5.859428 6.812641 + 1907 | 8.036322 5.425393 1.48 0.139 -2.602397 18.67504 + 1908 | 4.279292 4.820508 0.89 0.375 -5.1733 13.73188 + 1909 | 4.686915 5.333019 0.88 0.380 -5.770665 15.14449 + 1910 | -4.514261 3.449268 -1.31 0.191 -11.27797 2.24945 + 1911 | -.6467248 3.439422 -0.19 0.851 -7.391127 6.097678 + 1912 | -9.233743 3.503637 -2.64 0.008 -16.10407 -2.36342 + 1914 | -5.435504 3.243267 -1.68 0.094 -11.79526 .9242562 + 1915 | 15.25403 5.241923 2.91 0.004 4.975085 25.53298 + 1919 | 6.695851 5.741513 1.17 0.244 -4.56275 17.95445 + 1920 | 4.08923 3.347064 1.22 0.222 -2.474068 10.65253 + 1925 | -1.514065 3.129045 -0.48 0.629 -7.649846 4.621716 + 1926 | 2.465659 3.910476 0.63 0.528 -5.202441 10.13376 + 1927 | 2.721976 3.996205 0.68 0.496 -5.11423 10.55818 + 1929 | .8146286 3.778605 0.22 0.829 -6.594882 8.224139 + 1999 | -1.834668 9.621368 -0.19 0.849 -20.70132 17.03199 + 2000 | -2.576807 3.016507 -0.85 0.393 -8.491912 3.338297 + 2001 | -.156684 3.277838 -0.05 0.962 -6.584236 6.270868 + 2002 | -3.401101 3.163114 -1.08 0.282 -9.603689 2.801486 + 2003 | -.7543738 3.207116 -0.24 0.814 -7.043246 5.534499 + 2004 | 1.776243 2.895908 0.61 0.540 -3.902378 7.454864 + 2005 | 11.45164 6.078541 1.88 0.060 -.4678435 23.37112 + 2006 | 11.63607 3.001028 3.88 0.000 5.751315 17.52082 + 2007 | -4.443091 3.208618 -1.38 0.166 -10.73491 1.848726 + 2008 | 11.58156 2.899653 3.99 0.000 5.895598 17.26753 + 2009 | 3.170401 4.434067 0.72 0.475 -5.524413 11.86521 + 2010 | -13.90149 2.870031 -4.84 0.000 -19.52937 -8.273616 + 2011 | .9311733 3.161168 0.29 0.768 -5.267598 7.129945 + 2012 | -5.559639 2.945943 -1.89 0.059 -11.33637 .2170957 + 2013 | -1.774121 4.700842 -0.38 0.706 -10.99206 7.443816 + 2014 | 5.041234 3.863396 1.30 0.192 -2.534545 12.61701 + 2015 | -1.544768 4.152777 -0.37 0.710 -9.687998 6.598462 + 2030 | -1.044811 4.222842 -0.25 0.805 -9.325432 7.235811 + 2099 | 3.92586 3.685528 1.07 0.287 -3.301135 11.15286 + 2100 | -2.154121 3.718744 -0.58 0.562 -9.446251 5.138009 + 2101 | -.2245146 2.869786 -0.08 0.938 -5.851911 5.402882 + 2102 | .6681369 2.943422 0.23 0.820 -5.103655 6.439928 + 2103 | 1.193662 2.919181 0.41 0.683 -4.530594 6.917918 + 2104 | -.5912045 3.007282 -0.20 0.844 -6.488219 5.30581 + 2105 | -.9376566 5.26444 -0.18 0.859 -11.26076 9.385445 + 2199 | 2.100596 12.75413 0.16 0.869 -22.90913 27.11033 + 9999 | -1.303591 3.761073 -0.35 0.729 -8.678724 6.071542 + | + house_administration | .5334334 .8614157 0.62 0.536 -1.155727 2.222594 + house_agriculture | .1377319 .6562607 0.21 0.834 -1.149137 1.424601 + house_appropriations | -9.924786 .9955563 -9.97 0.000 -11.87698 -7.972588 + house_armedservices | -2.46132 .6015588 -4.09 0.000 -3.640924 -1.281716 + house_budget | -4.072096 1.187344 -3.43 0.001 -6.400373 -1.74382 + house_dc | -7.196393 2.981236 -2.41 0.016 -13.04233 -1.350451 + house_educlabor | -3.16025 .365364 -8.65 0.000 -3.876696 -2.443803 + house_energycommerce | -.9698364 .3917125 -2.48 0.013 -1.73795 -.2017228 + house_foreignaffairs | .1371906 .8460298 0.16 0.871 -1.521799 1.79618 + house_governmentop | .2629067 1.183045 0.22 0.824 -2.05694 2.582753 + house_intelligence | -.1227183 1.778629 -0.07 0.945 -3.610453 3.365016 + house_interior | -3.656941 .9973477 -3.67 0.000 -5.612652 -1.70123 + house_judiciary | 1.368557 .4728556 2.89 0.004 .4413291 2.295785 + house_mmf | 4.441816 1.282208 3.46 0.001 1.92752 6.956112 + house_pocs | .1632589 1.021552 0.16 0.873 -1.839914 2.166432 + house_pwt | -.3914644 1.006701 -0.39 0.697 -2.365517 1.582588 + house_rules | 1.010655 1.138901 0.89 0.375 -1.22263 3.243939 + house_sst | 2.778742 1.402988 1.98 0.048 .0276063 5.529877 + house_smallbusi | -5.051477 1.361603 -3.71 0.000 -7.721461 -2.381492 + house_soc | 1.207702 5.648339 0.21 0.831 -9.868193 12.2836 + house_veterans | -.9431002 .6621129 -1.42 0.154 -2.241445 .3552449 + house_waysandmeans | .6163757 .3555263 1.73 0.083 -.0807799 1.313531 +house_naturalresources | -3.987888 .8610382 -4.63 0.000 -5.676308 -2.299468 + house_bfs | -2.218989 .5196398 -4.27 0.000 -3.237956 -1.200021 + house_eeo | -2.027504 1.190208 -1.70 0.089 -4.361397 .3063878 + house_govreform | 4.019265 .695059 5.78 0.000 2.656316 5.382215 + house_ir | 2.342021 .9283918 2.52 0.012 .5215265 4.162515 + house_natsecur | 1.59572 1.529195 1.04 0.297 -1.402897 4.594338 + house_oversight | -3.365625 1.003642 -3.35 0.001 -5.333678 -1.397572 + house_resources | 1.832013 .8811869 2.08 0.038 .1040828 3.559942 + house_science | -1.187443 .9058999 -1.31 0.190 -2.963833 .5889467 + house_transp | -2.075489 .5718897 -3.63 0.000 -3.196914 -.9540637 + house_homeland | -.5535838 1.181887 -0.47 0.640 -2.871161 1.763993 + NE | -3.372103 .5342946 -6.31 0.000 -4.419808 -2.324399 + MW | -1.290696 .5444198 -2.37 0.018 -2.358255 -.2231364 + WE | -3.080217 .5358153 -5.75 0.000 -4.130904 -2.02953 + pct_black | -4.625236 1.170857 -3.95 0.000 -6.921183 -2.329289 + pct_urban | .1709305 1.267632 0.13 0.893 -2.314783 2.656644 + pct_for_born | -1.583647 2.227868 -0.71 0.477 -5.9523 2.785005 + pct_age_over65 | 15.65554 5.638704 2.78 0.006 4.598538 26.71254 + lninc | -1.686799 .8267565 -2.04 0.041 -3.307996 -.0656025 + lnpden | -.2836083 .1856798 -1.53 0.127 -.6477099 .0804934 + _cons | 34.10317 8.417524 4.05 0.000 17.59715 50.60919 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,505 1 0 1 1 +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if sponsor_party==200 & tag_bil +> l==1, robust cluster(group_sponsor) + +Linear regression Number of obs = 28,116 + F(276, 2272) = . + Prob > F = . + R-squared = 0.1642 + Root MSE = 22.051 + + (Std. Err. adjusted for 2,273 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 2.95394 .8809514 3.35 0.001 1.226387 4.681494 + | + v2 | + 102 | -.6386274 1.384071 -0.46 0.645 -3.352803 2.075548 + 103 | -5.2474 1.700581 -3.09 0.002 -8.582254 -1.912546 + 104 | -3.217592 1.694017 -1.90 0.058 -6.539574 .1043893 + 105 | -1.191574 1.632101 -0.73 0.465 -4.392139 2.008991 + 106 | .6356385 1.626791 0.39 0.696 -2.554512 3.825789 + 107 | 1.388977 1.649358 0.84 0.400 -1.845429 4.623383 + 108 | 2.945533 4.110229 0.72 0.474 -5.114662 11.00573 + 109 | 1.01048 4.043736 0.25 0.803 -6.919321 8.940281 + 110 | -5.429466 4.142023 -1.31 0.190 -13.55201 2.693077 + 111 | -5.857887 4.203826 -1.39 0.164 -14.10163 2.385853 + | + minor | + 101 | 5.142408 5.375559 0.96 0.339 -5.39911 15.68393 + 103 | 7.537624 8.618442 0.87 0.382 -9.363214 24.43846 + 104 | 2.486419 3.489527 0.71 0.476 -4.356574 9.329412 + 105 | 5.821722 2.892171 2.01 0.044 .1501488 11.49329 + 107 | 4.840221 2.711476 1.79 0.074 -.4770068 10.15745 + 108 | 11.85503 6.349206 1.87 0.062 -.5958163 24.30588 + 110 | -3.050383 3.345571 -0.91 0.362 -9.611076 3.51031 + 200 | 4.651147 3.284246 1.42 0.157 -1.789288 11.09158 + 201 | 15.27546 15.38126 0.99 0.321 -14.88733 45.43825 + 202 | 23.50951 7.880586 2.98 0.003 8.05561 38.9634 + 204 | 19.99663 6.240879 3.20 0.001 7.758213 32.23505 + 205 | 16.299 6.390497 2.55 0.011 3.767175 28.83082 + 206 | 4.962014 3.857195 1.29 0.198 -2.601979 12.52601 + 207 | 4.063676 2.980928 1.36 0.173 -1.78195 9.909301 + 208 | 7.340067 3.218132 2.28 0.023 1.029283 13.65085 + 209 | -12.04048 2.789468 -4.32 0.000 -17.51065 -6.570312 + 299 | 6.472304 4.111757 1.57 0.116 -1.590886 14.53549 + 300 | 15.61445 3.846071 4.06 0.000 8.072273 23.15663 + 301 | 11.59702 3.142338 3.69 0.000 5.434868 17.75917 + 302 | 10.77346 2.848132 3.78 0.000 5.188244 16.35867 + 321 | 18.17943 3.262521 5.57 0.000 11.7816 24.57726 + 322 | 22.35981 3.247133 6.89 0.000 15.99215 28.72747 + 323 | 18.2852 3.371353 5.42 0.000 11.67395 24.89645 + 324 | 2.609215 3.29285 0.79 0.428 -3.848092 9.066523 + 325 | 26.25164 3.551184 7.39 0.000 19.28774 33.21554 + 331 | 30.45987 3.51021 8.68 0.000 23.57632 37.34342 + 332 | 24.63911 3.740619 6.59 0.000 17.30372 31.9745 + 333 | 32.87269 5.554715 5.92 0.000 21.97985 43.76554 + 334 | 19.71431 3.45457 5.71 0.000 12.93987 26.48875 + 335 | 14.49666 3.987347 3.64 0.000 6.677437 22.31588 + 336 | 25.62472 3.684125 6.96 0.000 18.40012 32.84932 + 341 | 29.14955 5.730981 5.09 0.000 17.91105 40.38805 + 342 | 26.27692 6.910943 3.80 0.000 12.7245 39.82934 + 343 | 9.193993 4.770996 1.93 0.054 -.1619707 18.54996 + 344 | 37.71918 11.70502 3.22 0.001 14.76553 60.67284 + 398 | 25.415 3.451419 7.36 0.000 18.64673 32.18326 + 399 | 18.38401 5.138321 3.58 0.000 8.307716 28.4603 + 400 | 11.20528 4.167662 2.69 0.007 3.032461 19.3781 + 401 | 12.54361 3.638057 3.45 0.001 5.409349 19.67787 + 402 | 12.98271 3.021308 4.30 0.000 7.057901 18.90752 + 403 | 9.675041 3.870299 2.50 0.012 2.085351 17.26473 + 404 | 14.26337 4.069007 3.51 0.000 6.284008 22.24272 + 405 | 21.36318 5.492188 3.89 0.000 10.59296 32.13341 + 498 | 13.02493 4.778019 2.73 0.006 3.655198 22.39467 + 499 | 10.13613 4.230781 2.40 0.017 1.839532 18.43273 + 500 | 10.55266 5.149121 2.05 0.041 .4551914 20.65013 + 501 | 6.990381 3.674491 1.90 0.057 -.2153272 14.19609 + 502 | 10.01179 3.706203 2.70 0.007 2.743898 17.27969 + 503 | 6.959184 2.774926 2.51 0.012 1.51753 12.40084 + 504 | -2.656123 3.177658 -0.84 0.403 -8.887539 3.575292 + 505 | 3.277795 3.240255 1.01 0.312 -3.076373 9.631964 + 506 | 10.09538 5.131168 1.97 0.049 .0331201 20.15765 + 508 | 11.27716 4.056123 2.78 0.005 3.323063 19.23125 + 529 | 13.36431 4.85003 2.76 0.006 3.853363 22.87526 + 530 | 10.58719 2.833658 3.74 0.000 5.030364 16.14402 + 599 | 2.364006 5.84507 0.40 0.686 -9.098226 13.82624 + 600 | 3.275959 3.477095 0.94 0.346 -3.542655 10.09457 + 601 | 14.49374 2.876781 5.04 0.000 8.852352 20.13513 + 602 | 12.13241 3.115443 3.89 0.000 6.023003 18.24182 + 603 | 13.65783 4.983486 2.74 0.006 3.885174 23.43049 + 604 | 15.75146 6.272066 2.51 0.012 3.451886 28.05104 + 606 | 10.15434 4.471396 2.27 0.023 1.385892 18.92279 + 607 | 19.98883 3.731514 5.36 0.000 12.6713 27.30636 + 609 | 15.41414 5.669727 2.72 0.007 4.295753 26.53252 + 698 | -1.488312 8.337343 -0.18 0.858 -17.83791 14.86129 + 699 | 7.661422 5.830621 1.31 0.189 -3.772477 19.09532 + 700 | 13.83973 3.571769 3.87 0.000 6.835461 20.844 + 701 | 11.62124 3.463049 3.36 0.001 4.830172 18.41231 + 703 | 12.41646 3.611393 3.44 0.001 5.334489 19.49843 + 704 | 8.545086 3.24062 2.64 0.008 2.190202 14.89997 + 705 | 3.486522 3.160059 1.10 0.270 -2.710382 9.683426 + 707 | 20.28522 6.247952 3.25 0.001 8.032929 32.5375 + 708 | 13.70602 7.018433 1.95 0.051 -.0571873 27.46923 + 709 | 14.9363 3.079857 4.85 0.000 8.896673 20.97593 + 710 | 15.493 3.345615 4.63 0.000 8.932215 22.05378 + 711 | 16.32529 3.626175 4.50 0.000 9.21433 23.43625 + 798 | 18.88692 5.335298 3.54 0.000 8.424358 29.34949 + 799 | 14.20422 5.331884 2.66 0.008 3.748352 24.66009 + 800 | 7.194277 3.753332 1.92 0.055 -.1660397 14.55459 + 801 | 8.921824 3.850401 2.32 0.021 1.371155 16.47249 + 802 | 7.393096 3.277489 2.26 0.024 .9659118 13.82028 + 803 | 8.122566 2.939883 2.76 0.006 2.35743 13.8877 + 805 | 8.505716 4.496683 1.89 0.059 -.3123177 17.32375 + 806 | 12.07364 3.236147 3.73 0.000 5.727524 18.41975 + 807 | 16.31467 3.868794 4.22 0.000 8.727931 23.90141 + 898 | 3.355369 6.155884 0.55 0.586 -8.716374 15.42711 + 899 | 3.901841 9.855012 0.40 0.692 -15.42392 23.22761 + 1000 | 11.06478 3.811418 2.90 0.004 3.590552 18.539 + 1001 | 23.66147 4.195696 5.64 0.000 15.43367 31.88927 + 1002 | 13.23399 3.129899 4.23 0.000 7.096231 19.37175 + 1003 | 13.57065 2.984037 4.55 0.000 7.718924 19.42237 + 1005 | 13.33985 4.233012 3.15 0.002 5.038877 21.64082 + 1006 | 16.13371 3.351343 4.81 0.000 9.561698 22.70572 + 1007 | 13.15535 3.223648 4.08 0.000 6.833746 19.47695 + 1010 | 16.18039 7.048163 2.30 0.022 2.358885 30.0019 + 1098 | 5.554701 6.546313 0.85 0.396 -7.282675 18.39208 + 1099 | 8.142601 10.60908 0.77 0.443 -12.66189 28.94709 + 1200 | 12.09873 4.630156 2.61 0.009 3.018951 21.1785 + 1201 | 17.09335 3.54191 4.83 0.000 10.14763 24.03907 + 1202 | 11.76653 3.964963 2.97 0.003 3.991203 19.54186 + 1203 | 4.018957 3.071935 1.31 0.191 -2.005133 10.04305 + 1204 | 8.748393 3.003802 2.91 0.004 2.857911 14.63887 + 1205 | 9.512867 3.458976 2.75 0.006 2.729786 16.29595 + 1206 | 10.83002 4.308981 2.51 0.012 2.380068 19.27996 + 1207 | 10.91996 3.188876 3.42 0.001 4.666549 17.17337 + 1208 | 17.63532 3.180054 5.55 0.000 11.39921 23.87144 + 1209 | 17.45849 2.945381 5.93 0.000 11.68257 23.23441 + 1210 | 8.71232 3.032599 2.87 0.004 2.765367 14.65927 + 1211 | 14.63991 4.000699 3.66 0.000 6.794502 22.48531 + 1299 | 15.73089 5.955981 2.64 0.008 4.051158 27.41062 + 1300 | 5.514364 4.224844 1.31 0.192 -2.770591 13.79932 + 1301 | 21.0461 5.201555 4.05 0.000 10.84581 31.2464 + 1302 | 7.759701 4.06785 1.91 0.057 -.217388 15.73679 + 1303 | 8.920639 3.294395 2.71 0.007 2.460301 15.38098 + 1304 | 19.28781 3.926983 4.91 0.000 11.58696 26.98866 + 1305 | 16.61183 4.651074 3.57 0.000 7.491031 25.73262 + 1399 | 9.891374 8.09337 1.22 0.222 -5.979794 25.76254 + 1400 | 10.16909 3.564949 2.85 0.004 3.17819 17.15998 + 1401 | 16.42959 3.949911 4.16 0.000 8.683782 24.1754 + 1403 | 26.21487 6.561039 4.00 0.000 13.34861 39.08112 + 1404 | 10.58297 6.178 1.71 0.087 -1.532143 22.69808 + 1405 | 16.30033 4.508334 3.62 0.000 7.459444 25.14121 + 1406 | 12.76927 3.853677 3.31 0.001 5.212181 20.32637 + 1407 | 26.97407 5.107209 5.28 0.000 16.95879 36.98936 + 1408 | 1.103681 5.795048 0.19 0.849 -10.26046 12.46782 + 1409 | 22.48148 5.824918 3.86 0.000 11.05876 33.90419 + 1410 | 15.19998 3.971246 3.83 0.000 7.412336 22.98763 + 1499 | 11.57139 6.502129 1.78 0.075 -1.179339 24.32212 + 1500 | 7.668868 4.008692 1.91 0.056 -.1922119 15.52995 + 1501 | 12.14329 3.018471 4.02 0.000 6.224046 18.06254 + 1502 | 9.39676 3.024145 3.11 0.002 3.466384 15.32714 + 1504 | 12.50938 3.298802 3.79 0.000 6.040401 18.97836 + 1505 | 20.08438 3.700432 5.43 0.000 12.8278 27.34096 + 1507 | 13.24412 3.642588 3.64 0.000 6.100973 20.38727 + 1520 | 9.848801 3.524454 2.79 0.005 2.937316 16.76029 + 1521 | 8.836248 3.007361 2.94 0.003 2.938788 14.73371 + 1522 | 22.57203 3.644814 6.19 0.000 15.42452 29.71954 + 1523 | 11.28039 3.13998 3.59 0.000 5.122859 17.43791 + 1524 | 19.07544 6.417626 2.97 0.003 6.490418 31.66046 + 1525 | 10.80949 3.485397 3.10 0.002 3.974594 17.64438 + 1526 | 21.20691 3.753122 5.65 0.000 13.847 28.56681 + 1599 | 12.72172 3.821427 3.33 0.001 5.227872 20.21557 + 1600 | 12.27886 3.829445 3.21 0.001 4.769283 19.78843 + 1602 | 4.209482 6.203925 0.68 0.498 -7.956468 16.37543 + 1603 | 6.742545 4.683095 1.44 0.150 -2.441045 15.92613 + 1604 | 9.211134 4.85973 1.90 0.058 -.3188373 18.74111 + 1605 | 7.713182 4.762706 1.62 0.105 -1.626526 17.05289 + 1606 | 17.7611 5.83654 3.04 0.002 6.315595 29.20661 + 1608 | 16.03898 2.974393 5.39 0.000 10.20617 21.87179 + 1609 | 19.64175 3.05846 6.42 0.000 13.64408 25.63942 + 1610 | 12.28535 5.605351 2.19 0.029 1.293203 23.27749 + 1611 | 9.986459 3.833252 2.61 0.009 2.469418 17.5035 + 1612 | 16.28933 3.808935 4.28 0.000 8.819978 23.75869 + 1614 | 5.122082 6.771676 0.76 0.449 -8.157232 18.4014 + 1615 | 11.28706 3.57407 3.16 0.002 4.278277 18.29584 + 1616 | 7.816367 3.655112 2.14 0.033 .6486607 14.98407 + 1617 | 12.83436 5.657013 2.27 0.023 1.740906 23.92781 + 1619 | 7.000342 4.544181 1.54 0.124 -1.910837 15.91152 + 1620 | 18.05925 7.132084 2.53 0.011 4.07317 32.04533 + 1698 | 12.80378 6.686987 1.91 0.056 -.309454 25.91702 + 1699 | 17.72824 3.696675 4.80 0.000 10.47903 24.97745 + 1700 | 10.50107 5.240055 2.00 0.045 .2252722 20.77686 + 1701 | 10.97208 4.565336 2.40 0.016 2.019418 19.92475 + 1704 | 12.28623 4.752451 2.59 0.010 2.966636 21.60583 + 1705 | 2.579455 7.975741 0.32 0.746 -13.06104 18.21995 + 1706 | 14.11855 3.471815 4.07 0.000 7.310293 20.92681 + 1707 | 12.98681 3.587323 3.62 0.000 5.952044 20.02159 + 1708 | 16.21365 4.912885 3.30 0.001 6.57944 25.84786 + 1709 | 18.7149 3.522421 5.31 0.000 11.8074 25.6224 + 1798 | 16.19786 4.422973 3.66 0.000 7.524375 24.87135 + 1799 | 4.94783 9.051044 0.55 0.585 -12.80135 22.69701 + 1800 | 8.993318 3.816572 2.36 0.019 1.508987 16.47765 + 1802 | 15.54616 3.432773 4.53 0.000 8.814459 22.27785 + 1803 | 7.846995 3.780872 2.08 0.038 .4326717 15.26132 + 1804 | 13.37722 4.462418 3.00 0.003 4.626376 22.12806 + 1806 | 4.239148 4.27761 0.99 0.322 -4.149282 12.62758 + 1807 | -2.929743 2.699746 -1.09 0.278 -8.223968 2.364482 + 1808 | -1.991802 4.333681 -0.46 0.646 -10.49019 6.506583 + 1899 | -2.137253 8.771462 -0.24 0.808 -19.33817 15.06366 + 1900 | 9.795596 4.212413 2.33 0.020 1.535018 18.05617 + 1901 | 9.013692 3.527946 2.55 0.011 2.095359 15.93202 + 1902 | 18.48423 5.182343 3.57 0.000 8.321613 28.64685 + 1905 | 27.70283 7.032396 3.94 0.000 13.91224 41.49342 + 1906 | 9.57063 4.26969 2.24 0.025 1.197731 17.94353 + 1907 | 20.63147 5.496518 3.75 0.000 9.852748 31.41019 + 1908 | 14.90419 7.692084 1.94 0.053 -.1800546 29.98843 + 1909 | 31.93428 7.720629 4.14 0.000 16.79406 47.0745 + 1910 | 20.29767 9.649782 2.10 0.036 1.374358 39.22097 + 1911 | 19.71238 9.800334 2.01 0.044 .4938425 38.93092 + 1912 | -8.192533 3.054009 -2.68 0.007 -14.18147 -2.203594 + 1914 | 16.60966 5.352559 3.10 0.002 6.113248 27.10608 + 1915 | 18.49765 9.864525 1.88 0.061 -.8467678 37.84207 + 1919 | 14.30018 4.447338 3.22 0.001 5.578911 23.02145 + 1920 | 8.077596 4.07362 1.98 0.047 .0891909 16.066 + 1925 | 21.93816 4.809338 4.56 0.000 12.50701 31.36931 + 1926 | 2.882546 3.875907 0.74 0.457 -4.718142 10.48323 + 1927 | 6.409501 3.502583 1.83 0.067 -.4590943 13.2781 + 1929 | 8.761197 3.863154 2.27 0.023 1.185518 16.33688 + 1999 | 13.77042 12.95878 1.06 0.288 -11.64185 39.1827 + 2000 | 5.579343 2.886281 1.93 0.053 -.080678 11.23936 + 2001 | 7.413289 3.250478 2.28 0.023 1.039073 13.7875 + 2002 | 5.175941 2.941491 1.76 0.079 -.592349 10.94423 + 2003 | 11.84031 3.527072 3.36 0.001 4.923695 18.75693 + 2004 | 13.98646 2.957304 4.73 0.000 8.187164 19.78576 + 2005 | 6.923917 6.190741 1.12 0.264 -5.216181 19.06401 + 2006 | 26.00894 3.173781 8.19 0.000 19.78512 32.23275 + 2007 | 1.95475 3.426098 0.57 0.568 -4.763857 8.673357 + 2008 | 21.33207 2.853094 7.48 0.000 15.73713 26.92701 + 2009 | 3.914981 3.83867 1.02 0.308 -3.612683 11.44265 + 2011 | 4.768468 2.828304 1.69 0.092 -.7778608 10.3148 + 2012 | 4.17664 2.878805 1.45 0.147 -1.468722 9.822001 + 2013 | 2.892084 5.019446 0.58 0.565 -6.951093 12.73526 + 2014 | 5.301794 3.961297 1.34 0.181 -2.466343 13.06993 + 2015 | 15.16006 5.148614 2.94 0.003 5.06358 25.25653 + 2030 | 6.83673 4.645084 1.47 0.141 -2.272319 15.94578 + 2099 | 12.45004 4.525087 2.75 0.006 3.576302 21.32377 + 2100 | 4.969226 3.39544 1.46 0.143 -1.689261 11.62771 + 2101 | 17.87197 2.864903 6.24 0.000 12.25387 23.49007 + 2102 | 15.13301 3.025031 5.00 0.000 9.200894 21.06512 + 2103 | 7.466626 2.83213 2.64 0.008 1.912794 13.02046 + 2104 | 9.709324 2.895447 3.35 0.001 4.031328 15.38732 + 2105 | 18.23515 5.07474 3.59 0.000 8.283539 28.18676 + 2199 | 3.410833 8.398226 0.41 0.685 -13.05816 19.87983 + 9999 | 3.735572 3.969354 0.94 0.347 -4.048366 11.51951 + | + house_administration | -2.917362 1.269143 -2.30 0.022 -5.406163 -.4285622 + house_agriculture | 2.931942 .9603855 3.05 0.002 1.048618 4.815266 + house_appropriations | -11.24879 1.226304 -9.17 0.000 -13.65358 -8.843994 + house_armedservices | .639352 .9455395 0.68 0.499 -1.214859 2.493563 + house_budget | -.3184684 1.262041 -0.25 0.801 -2.793341 2.156404 + house_dc | 3.498264 4.884997 0.72 0.474 -6.081256 13.07778 + house_educlabor | .226681 .864681 0.26 0.793 -1.468966 1.922328 + house_energycommerce | 3.714059 .605642 6.13 0.000 2.52639 4.901729 + house_foreignaffairs | 3.824925 1.981803 1.93 0.054 -.0614078 7.711258 + house_governmentop | -.8960491 1.209636 -0.74 0.459 -3.268156 1.476058 + house_intelligence | -2.052072 3.679863 -0.56 0.577 -9.268315 5.164171 + house_interior | 1.507703 1.655022 0.91 0.362 -1.737809 4.753216 + house_judiciary | -2.129448 .5591145 -3.81 0.000 -3.225876 -1.033019 + house_mmf | 1.788219 2.110488 0.85 0.397 -2.350466 5.926903 + house_pocs | 2.9172 1.58183 1.84 0.065 -.1847827 6.019183 + house_pwt | .7488817 1.535741 0.49 0.626 -2.262719 3.760483 + house_rules | -2.889242 .9372912 -3.08 0.002 -4.727278 -1.051206 + house_sst | 4.672285 3.646534 1.28 0.200 -2.478599 11.82317 + house_smallbusi | 4.5258 3.040717 1.49 0.137 -1.437073 10.48867 + house_soc | .2194564 6.170747 0.04 0.972 -11.88143 12.32035 + house_veterans | 4.646278 1.256402 3.70 0.000 2.182462 7.110093 + house_waysandmeans | -1.727304 .5376548 -3.21 0.001 -2.78165 -.6729583 +house_naturalresources | 2.113659 1.267746 1.67 0.096 -.3724027 4.59972 + house_bfs | -.5055541 .8598654 -0.59 0.557 -2.191758 1.180649 + house_eeo | -4.911087 1.661609 -2.96 0.003 -8.169517 -1.652657 + house_govreform | 1.319392 .8713726 1.51 0.130 -.3893767 3.028162 + house_ir | 3.45281 1.388884 2.49 0.013 .7291961 6.176424 + house_natsecur | -1.09022 2.031571 -0.54 0.592 -5.07415 2.893709 + house_oversight | .73167 1.171268 0.62 0.532 -1.565197 3.028537 + house_resources | -5.821975 .9052206 -6.43 0.000 -7.59712 -4.046829 + house_science | 3.29314 1.604166 2.05 0.040 .1473559 6.438924 + house_transp | 2.157087 1.038157 2.08 0.038 .1212526 4.192921 + house_homeland | -1.538076 1.782503 -0.86 0.388 -5.03358 1.957428 + NE | 4.49372 .8146532 5.52 0.000 2.896178 6.091262 + MW | 2.111679 .6162117 3.43 0.001 .9032826 3.320075 + WE | -.8002793 .7368377 -1.09 0.278 -2.245224 .6446658 + pct_black | 5.984133 3.344758 1.79 0.074 -.5749662 12.54323 + pct_urban | 1.7529 1.817184 0.96 0.335 -1.810614 5.316414 + pct_for_born | 11.44651 4.905823 2.33 0.020 1.826153 21.06688 + pct_age_over65 | 37.86058 6.492657 5.83 0.000 25.12842 50.59273 + lninc | 6.711571 1.810083 3.71 0.000 3.161983 10.26116 + lnpden | -.057805 .2638585 -0.22 0.827 -.5752339 .4596239 + _cons | -68.79723 17.92531 -3.84 0.000 -103.9489 -33.64555 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,273 1 0 1 1 +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 oc +> c3 occ4 borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if tag_bill==1, robust cluster(group_sponsor) + +Linear regression Number of obs = 60,667 + F(291, 4745) = . + Prob > F = . + R-squared = 0.1087 + Root MSE = 20.051 + + (Std. Err. adjusted for 4,746 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | .181151 .5066366 0.36 0.721 -.8120919 1.174394 + | + v2 | + 102 | -1.487548 .68375 -2.18 0.030 -2.828015 -.1470807 + 103 | -2.143528 .9117636 -2.35 0.019 -3.931008 -.3560481 + 104 | -3.383857 .9583205 -3.53 0.000 -5.26261 -1.505104 + 105 | -2.693032 .9465689 -2.85 0.004 -4.548746 -.8373177 + 106 | -1.266827 .9278916 -1.37 0.172 -3.085925 .5522714 + 107 | -1.270496 .9569147 -1.33 0.184 -3.146493 .6055005 + 108 | -5.44042 2.753013 -1.98 0.048 -10.8376 -.0432377 + 109 | -6.015908 2.728685 -2.20 0.028 -11.3654 -.6664184 + 110 | -5.235435 2.73104 -1.92 0.055 -10.58954 .1186716 + 111 | -6.529204 2.748874 -2.38 0.018 -11.91827 -1.140134 + | + minor | + 101 | -1.138461 3.88131 -0.29 0.769 -8.747631 6.470709 + 103 | -1.048378 3.919779 -0.27 0.789 -8.732964 6.636208 + 104 | -.8919341 2.8548 -0.31 0.755 -6.488668 4.704799 + 105 | 1.124839 2.26128 0.50 0.619 -3.30832 5.557998 + 107 | .5676126 2.047201 0.28 0.782 -3.445851 4.581076 + 108 | 4.795425 3.325563 1.44 0.149 -1.724221 11.31507 + 110 | -8.009097 2.422539 -3.31 0.001 -12.7584 -3.259796 + 200 | .6406121 2.275295 0.28 0.778 -3.820023 5.101247 + 201 | -2.322005 2.432497 -0.95 0.340 -7.090828 2.446818 + 202 | 2.189985 2.709061 0.81 0.419 -3.121032 7.501002 + 204 | 13.77909 4.240179 3.25 0.001 5.466371 22.09181 + 205 | 7.024387 3.783501 1.86 0.063 -.3930315 14.44181 + 206 | -2.633855 2.375793 -1.11 0.268 -7.291513 2.023803 + 207 | 1.1908 2.344456 0.51 0.612 -3.405421 5.787021 + 208 | 3.040247 2.283915 1.33 0.183 -1.437286 7.51778 + 209 | -7.439994 2.75356 -2.70 0.007 -12.83825 -2.041738 + 299 | 1.491327 3.39388 0.44 0.660 -5.162253 8.144908 + 300 | 6.187765 2.528973 2.45 0.014 1.229804 11.14573 + 301 | 4.66759 2.195739 2.13 0.034 .3629214 8.972258 + 302 | 4.708884 2.096127 2.25 0.025 .5995017 8.818266 + 321 | 7.675443 2.25725 3.40 0.001 3.250186 12.1007 + 322 | 9.868572 2.26898 4.35 0.000 5.420319 14.31683 + 323 | 10.4281 2.361385 4.42 0.000 5.798693 15.05751 + 324 | -.4440574 2.39831 -0.19 0.853 -5.145859 4.257744 + 325 | 10.17662 2.314122 4.40 0.000 5.639863 14.71337 + 331 | 13.03073 2.323743 5.61 0.000 8.475114 17.58634 + 332 | 8.352687 2.270125 3.68 0.000 3.902188 12.80319 + 333 | 8.812588 2.589439 3.40 0.001 3.736086 13.88909 + 334 | 9.479479 2.279268 4.16 0.000 5.011056 13.9479 + 335 | 1.958493 2.370242 0.83 0.409 -2.688281 6.605267 + 336 | 12.78635 2.383186 5.37 0.000 8.114196 17.4585 + 341 | 9.0093 2.745689 3.28 0.001 3.626475 14.39212 + 342 | 11.27351 4.403691 2.56 0.010 2.640231 19.90679 + 343 | 4.884115 2.839732 1.72 0.086 -.6830773 10.45131 + 344 | 6.848751 3.916136 1.75 0.080 -.8286928 14.5262 + 398 | 13.61599 2.332579 5.84 0.000 9.043048 18.18892 + 399 | 7.340341 3.117073 2.35 0.019 1.229432 13.45125 + 400 | 2.978354 2.826137 1.05 0.292 -2.562186 8.518893 + 401 | 6.649198 2.714987 2.45 0.014 1.326563 11.97183 + 402 | 6.823777 2.241848 3.04 0.002 2.428715 11.21884 + 403 | 2.052874 2.318329 0.89 0.376 -2.492126 6.597874 + 404 | 7.82466 3.010044 2.60 0.009 1.923577 13.72574 + 405 | 16.78559 3.589544 4.68 0.000 9.748422 23.82277 + 498 | 9.469615 3.48811 2.71 0.007 2.631301 16.30793 + 499 | 4.578845 3.50438 1.31 0.191 -2.291367 11.44906 + 500 | 1.205804 3.229091 0.37 0.709 -5.124713 7.536322 + 501 | 2.254038 2.352584 0.96 0.338 -2.358118 6.866194 + 502 | 2.588984 2.331559 1.11 0.267 -1.981953 7.15992 + 503 | 1.652418 2.042655 0.81 0.419 -2.352134 5.656969 + 504 | -3.009698 2.297909 -1.31 0.190 -7.514666 1.495269 + 505 | 1.740426 2.411474 0.72 0.470 -2.987182 6.468034 + 506 | .9616818 2.442174 0.39 0.694 -3.826113 5.749476 + 508 | 2.571445 2.300852 1.12 0.264 -1.939293 7.082183 + 529 | 10.2192 3.752346 2.72 0.006 2.862862 17.57554 + 530 | 3.245311 2.109937 1.54 0.124 -.8911449 7.381766 + 599 | -1.272438 3.497281 -0.36 0.716 -8.128732 5.583857 + 600 | 1.567532 2.31928 0.68 0.499 -2.979333 6.114396 + 601 | 6.794375 2.081208 3.26 0.001 2.714241 10.87451 + 602 | 4.164049 2.130054 1.95 0.051 -.0118455 8.339943 + 603 | 3.457683 2.403185 1.44 0.150 -1.253676 8.169041 + 604 | 8.649328 3.410962 2.54 0.011 1.96226 15.3364 + 606 | 5.869793 2.896865 2.03 0.043 .1905928 11.54899 + 607 | 7.163572 2.301176 3.11 0.002 2.6522 11.67494 + 609 | 8.406218 3.504606 2.40 0.016 1.535564 15.27687 + 698 | 3.682597 5.11718 0.72 0.472 -6.349451 13.71464 + 699 | 4.347709 2.86368 1.52 0.129 -1.266432 9.96185 + 700 | 6.62324 2.446092 2.71 0.007 1.827766 11.41872 + 701 | 5.106327 2.362948 2.16 0.031 .4738531 9.738802 + 703 | 6.037952 2.390856 2.53 0.012 1.350765 10.72514 + 704 | 2.736431 2.237044 1.22 0.221 -1.649213 7.122074 + 705 | 2.565498 2.36165 1.09 0.277 -2.064431 7.195428 + 707 | 7.254987 2.618048 2.77 0.006 2.122397 12.38758 + 708 | .5997461 2.708653 0.22 0.825 -4.710471 5.909963 + 709 | 9.206887 2.238184 4.11 0.000 4.819008 13.59477 + 710 | 8.968589 2.346331 3.82 0.000 4.36869 13.56849 + 711 | 8.035917 2.576603 3.12 0.002 2.984579 13.08725 + 798 | 7.824678 3.187478 2.45 0.014 1.575742 14.07361 + 799 | 5.615556 3.809899 1.47 0.141 -1.853613 13.08473 + 800 | 1.100117 2.428494 0.45 0.651 -3.660858 5.861091 + 801 | 5.263265 2.782895 1.89 0.059 -.1925016 10.71903 + 802 | 5.298831 2.389552 2.22 0.027 .6142011 9.983461 + 803 | 2.646975 2.178531 1.22 0.224 -1.623957 6.917907 + 805 | 6.503837 3.400256 1.91 0.056 -.1622427 13.16992 + 806 | 7.849083 2.291931 3.42 0.001 3.355836 12.34233 + 807 | 7.428599 2.493448 2.98 0.003 2.540284 12.31691 + 898 | 3.709955 3.690051 1.01 0.315 -3.524258 10.94417 + 899 | -2.629385 4.421427 -0.59 0.552 -11.29743 6.038664 + 1000 | 7.074946 2.739011 2.58 0.010 1.705213 12.44468 + 1001 | 9.846748 3.041827 3.24 0.001 3.883355 15.81014 + 1002 | 7.052308 2.391733 2.95 0.003 2.363401 11.74121 + 1003 | 7.55118 2.19811 3.44 0.001 3.241865 11.86049 + 1005 | 6.495645 2.67048 2.43 0.015 1.260265 11.73102 + 1006 | 8.24813 2.403038 3.43 0.001 3.537061 12.9592 + 1007 | 7.323432 2.390601 3.06 0.002 2.636745 12.01012 + 1010 | 2.302718 3.184626 0.72 0.470 -3.940627 8.546063 + 1098 | 1.929339 4.02688 0.48 0.632 -5.965214 9.823892 + 1099 | 4.245373 7.423125 0.57 0.567 -10.3074 18.79814 + 1200 | 3.301542 3.007129 1.10 0.272 -2.593826 9.196911 + 1201 | 7.867529 2.432081 3.23 0.001 3.099521 12.63554 + 1202 | 8.544699 2.955628 2.89 0.004 2.750297 14.3391 + 1203 | 3.261989 2.298963 1.42 0.156 -1.245045 7.769024 + 1204 | 5.011708 2.388233 2.10 0.036 .3296625 9.693754 + 1205 | 4.610482 2.533608 1.82 0.069 -.3565648 9.577529 + 1206 | 4.469492 2.571464 1.74 0.082 -.5717703 9.510755 + 1207 | 6.297821 2.39687 2.63 0.009 1.598844 10.9968 + 1208 | 7.221171 2.189207 3.30 0.001 2.929309 11.51303 + 1209 | 4.801618 2.129996 2.25 0.024 .6258374 8.977398 + 1210 | 2.89517 2.283474 1.27 0.205 -1.581498 7.371838 + 1211 | 4.536603 2.59072 1.75 0.080 -.5424113 9.615617 + 1299 | 5.887633 3.709068 1.59 0.112 -1.383861 13.15913 + 1300 | 2.620244 2.735109 0.96 0.338 -2.741839 7.982327 + 1301 | 5.265631 2.477999 2.12 0.034 .407604 10.12366 + 1302 | .3840317 2.385371 0.16 0.872 -4.292402 5.060466 + 1303 | 1.266409 2.260474 0.56 0.575 -3.165169 5.697986 + 1304 | 7.106391 2.455781 2.89 0.004 2.29192 11.92086 + 1305 | 6.532316 2.689047 2.43 0.015 1.260535 11.8041 + 1399 | 4.996007 5.140253 0.97 0.331 -5.081275 15.07329 + 1400 | 5.569286 2.402922 2.32 0.021 .8584437 10.28013 + 1401 | 7.645356 2.573803 2.97 0.003 2.599509 12.6912 + 1403 | 7.14234 3.108674 2.30 0.022 1.047896 13.23678 + 1404 | 4.541755 3.894902 1.17 0.244 -3.09406 12.17757 + 1405 | 7.223607 2.700796 2.67 0.008 1.928793 12.51842 + 1406 | 2.882155 2.264524 1.27 0.203 -1.557363 7.321674 + 1407 | 12.24521 2.971085 4.12 0.000 6.420505 18.06992 + 1408 | 1.637788 3.358476 0.49 0.626 -4.946384 8.221961 + 1409 | 8.961647 3.446207 2.60 0.009 2.205483 15.71781 + 1410 | 8.040162 2.856599 2.81 0.005 2.439903 13.64042 + 1499 | 3.440379 4.329909 0.79 0.427 -5.048251 11.92901 + 1500 | 3.484772 2.841647 1.23 0.220 -2.086174 9.055719 + 1501 | 5.688365 2.173504 2.62 0.009 1.427287 9.949442 + 1502 | 4.988189 2.24582 2.22 0.026 .5853397 9.391039 + 1504 | 5.331208 2.259344 2.36 0.018 .9018445 9.760572 + 1505 | 10.15131 2.626684 3.86 0.000 5.001794 15.30083 + 1507 | 6.227227 2.794271 2.23 0.026 .7491589 11.70529 + 1520 | 3.342639 2.435822 1.37 0.170 -1.432702 8.117979 + 1521 | 5.170304 2.225179 2.32 0.020 .8079213 9.532687 + 1522 | 16.75051 2.692993 6.22 0.000 11.47099 22.03003 + 1523 | 5.859919 2.197772 2.67 0.008 1.551266 10.16857 + 1524 | 13.92068 4.311173 3.23 0.001 5.468785 22.37258 + 1525 | 3.304167 2.212942 1.49 0.135 -1.034226 7.642561 + 1526 | 10.72353 2.586123 4.15 0.000 5.653529 15.79353 + 1599 | 10.90941 3.521113 3.10 0.002 4.006398 17.81243 + 1600 | 7.194245 2.619385 2.75 0.006 2.059035 12.32946 + 1602 | 1.515408 3.247108 0.47 0.641 -4.85043 7.881247 + 1603 | -.4587081 2.970711 -0.15 0.877 -6.282679 5.365263 + 1604 | 9.068186 4.461691 2.03 0.042 .3212015 17.81517 + 1605 | 4.198501 2.786941 1.51 0.132 -1.265198 9.662199 + 1606 | 9.996093 3.587641 2.79 0.005 2.962651 17.02953 + 1608 | 8.062396 2.140449 3.77 0.000 3.866122 12.25867 + 1609 | 9.657827 2.178976 4.43 0.000 5.386023 13.92963 + 1610 | 5.801038 3.041434 1.91 0.057 -.1615849 11.76366 + 1611 | 4.21096 2.669307 1.58 0.115 -1.022121 9.444041 + 1612 | 7.190052 2.585114 2.78 0.005 2.12203 12.25807 + 1614 | 5.698033 3.540787 1.61 0.108 -1.243553 12.63962 + 1615 | 5.9723 2.507211 2.38 0.017 1.057002 10.8876 + 1616 | 4.131695 2.566622 1.61 0.108 -.900076 9.163466 + 1617 | 3.733337 3.222903 1.16 0.247 -2.585049 10.05172 + 1619 | .5340282 2.625878 0.20 0.839 -4.61391 5.681967 + 1620 | 10.63996 3.997355 2.66 0.008 2.803286 18.47663 + 1698 | 10.44915 4.604933 2.27 0.023 1.421343 19.47695 + 1699 | 11.15481 2.540858 4.39 0.000 6.17355 16.13607 + 1700 | 6.80711 3.491629 1.95 0.051 -.0381036 13.65232 + 1701 | 8.577952 2.958361 2.90 0.004 2.778191 14.37771 + 1704 | 13.79816 4.247911 3.25 0.001 5.470287 22.12604 + 1705 | 4.74153 4.683222 1.01 0.311 -4.439759 13.92282 + 1706 | 8.448237 2.394254 3.53 0.000 3.754387 13.14209 + 1707 | 7.041474 2.354695 2.99 0.003 2.425179 11.65777 + 1708 | 11.95803 3.187548 3.75 0.000 5.708959 18.2071 + 1709 | 12.65261 2.578481 4.91 0.000 7.597594 17.70763 + 1798 | 8.47968 2.836448 2.99 0.003 2.918926 14.04043 + 1799 | 3.03536 5.220211 0.58 0.561 -7.198675 13.2694 + 1800 | 2.267987 2.613612 0.87 0.386 -2.855906 7.39188 + 1802 | 7.435852 2.401133 3.10 0.002 2.728516 12.14319 + 1803 | 4.403833 2.485349 1.77 0.076 -.4686054 9.276271 + 1804 | 5.953073 2.95884 2.01 0.044 .152373 11.75377 + 1806 | 4.137428 2.992747 1.38 0.167 -1.729746 10.0046 + 1807 | -7.554652 2.039637 -3.70 0.000 -11.55329 -3.556017 + 1808 | 2.306613 5.210555 0.44 0.658 -7.908492 12.52172 + 1899 | .8085061 6.542961 0.12 0.902 -12.01873 13.63575 + 1900 | 5.289985 2.943179 1.80 0.072 -.4800112 11.05998 + 1901 | 5.120857 2.343439 2.19 0.029 .5266293 9.715084 + 1902 | 10.64585 3.040155 3.50 0.000 4.68574 16.60597 + 1905 | 8.653045 3.225339 2.68 0.007 2.329883 14.97621 + 1906 | 6.392775 2.748771 2.33 0.020 1.003908 11.78164 + 1907 | 13.53733 4.124738 3.28 0.001 5.450926 21.62373 + 1908 | 10.03009 4.207523 2.38 0.017 1.781396 18.27879 + 1909 | 17.29221 4.911824 3.52 0.000 7.662756 26.92166 + 1910 | 8.402018 5.31414 1.58 0.114 -2.016163 18.8202 + 1911 | 6.471151 3.55011 1.82 0.068 -.488713 13.43101 + 1912 | -5.237403 3.653599 -1.43 0.152 -12.40015 1.925347 + 1914 | 3.739861 2.769704 1.35 0.177 -1.690044 9.169765 + 1915 | 15.67167 6.312909 2.48 0.013 3.295434 28.0479 + 1919 | 10.68421 3.670021 2.91 0.004 3.489264 17.87915 + 1920 | 7.765465 2.653382 2.93 0.003 2.563605 12.96733 + 1925 | 10.09008 3.066126 3.29 0.001 4.079049 16.10111 + 1926 | -1.157354 2.825734 -0.41 0.682 -6.697103 4.382396 + 1927 | 3.477551 2.727472 1.28 0.202 -1.86956 8.824662 + 1929 | 5.366846 2.729616 1.97 0.049 .0155316 10.71816 + 1999 | 6.04109 7.65233 0.79 0.430 -8.961029 21.04321 + 2000 | 1.019027 2.190609 0.47 0.642 -3.275583 5.313636 + 2001 | 2.692148 2.402899 1.12 0.263 -2.018648 7.402945 + 2002 | 1.214782 2.20745 0.55 0.582 -3.112846 5.542409 + 2003 | 6.622764 2.45864 2.69 0.007 1.802689 11.44284 + 2004 | 8.362185 2.155409 3.88 0.000 4.136583 12.58779 + 2005 | 11.54107 4.669592 2.47 0.013 2.386506 20.69564 + 2006 | 19.21253 2.250541 8.54 0.000 14.80043 23.62464 + 2007 | .0093 2.426887 0.00 0.997 -4.748526 4.767126 + 2008 | 16.76739 2.12167 7.90 0.000 12.60794 20.92685 + 2009 | 3.870885 3.210967 1.21 0.228 -2.4241 10.16587 + 2010 | -5.262861 2.188118 -2.41 0.016 -9.552588 -.9731341 + 2011 | 1.683503 2.198098 0.77 0.444 -2.62579 5.992796 + 2012 | -.750092 2.140005 -0.35 0.726 -4.945495 3.445311 + 2013 | .5966607 3.682338 0.16 0.871 -6.62243 7.815751 + 2014 | 5.054223 2.930261 1.72 0.085 -.6904485 10.79889 + 2015 | 6.498996 3.41736 1.90 0.057 -.2006154 13.19861 + 2030 | 2.739129 3.319745 0.83 0.409 -3.769111 9.24737 + 2099 | 7.710904 3.004951 2.57 0.010 1.819805 13.602 + 2100 | -1.209292 2.521039 -0.48 0.631 -6.151698 3.733115 + 2101 | 8.970686 2.116122 4.24 0.000 4.822105 13.11927 + 2102 | 8.612977 2.213144 3.89 0.000 4.274188 12.95177 + 2103 | 4.015924 2.131824 1.88 0.060 -.1634398 8.195288 + 2104 | 4.523487 2.185538 2.07 0.039 .2388186 8.808156 + 2105 | 10.05974 3.738257 2.69 0.007 2.731026 17.38846 + 2199 | 1.397848 7.767205 0.18 0.857 -13.82948 16.62517 + 9999 | 2.558026 2.730701 0.94 0.349 -2.795415 7.911467 + | + house_administration | -2.179901 .7360107 -2.96 0.003 -3.622824 -.7369786 + house_agriculture | 1.454817 .5763284 2.52 0.012 .3249455 2.584688 + house_appropriations | -10.45183 1.014009 -10.31 0.000 -12.43976 -8.463905 + house_armedservices | -1.128128 .5348648 -2.11 0.035 -2.176711 -.079545 + house_budget | -2.148515 .9005773 -2.39 0.017 -3.914065 -.3829658 + house_dc | -.8040689 2.902717 -0.28 0.782 -6.494741 4.886603 + house_educlabor | -2.689826 .3974307 -6.77 0.000 -3.468975 -1.910678 + house_energycommerce | .4370739 .3496377 1.25 0.211 -.2483783 1.122526 + house_foreignaffairs | 1.942573 .8795004 2.21 0.027 .2183446 3.666802 + house_governmentop | -.2209428 .9567857 -0.23 0.817 -2.096687 1.654801 + house_intelligence | -2.731596 1.627001 -1.68 0.093 -5.921273 .4580818 + house_interior | -2.246941 .8855306 -2.54 0.011 -3.982992 -.5108906 + house_judiciary | -.3996715 .3782087 -1.06 0.291 -1.141136 .3417931 + house_mmf | 3.120317 1.164133 2.68 0.007 .838076 5.402557 + house_pocs | 1.196689 .8824244 1.36 0.175 -.5332722 2.92665 + house_pwt | -.0464059 .8713785 -0.05 0.958 -1.754712 1.6619 + house_rules | -2.604685 .7480594 -3.48 0.001 -4.071229 -1.138142 + house_sst | 1.762464 1.490597 1.18 0.237 -1.159798 4.684726 + house_smallbusi | -.9749628 1.507526 -0.65 0.518 -3.930414 1.980489 + house_soc | 4.374309 4.351235 1.01 0.315 -4.156131 12.90475 + house_veterans | 1.390836 .7277996 1.91 0.056 -.0359886 2.817662 + house_waysandmeans | -.0658819 .3289127 -0.20 0.841 -.7107034 .5789396 +house_naturalresources | -2.381698 .7429437 -3.21 0.001 -3.838212 -.9251837 + house_bfs | -1.577874 .4801468 -3.29 0.001 -2.519185 -.6365633 + house_eeo | -3.674505 1.100666 -3.34 0.001 -5.832321 -1.516689 + house_govreform | 2.167566 .5675023 3.82 0.000 1.054998 3.280134 + house_ir | 3.435605 .9030788 3.80 0.000 1.665152 5.206059 + house_natsecur | .1099351 1.244792 0.09 0.930 -2.330435 2.550305 + house_oversight | -.9847428 .7715244 -1.28 0.202 -2.497289 .5278031 + house_resources | -3.300184 .6638074 -4.97 0.000 -4.601555 -1.998814 + house_science | 1.297628 .9464368 1.37 0.170 -.5578272 3.153083 + house_transp | .1442051 .6051753 0.24 0.812 -1.042219 1.33063 + house_homeland | -.7896592 1.003535 -0.79 0.431 -2.757053 1.177735 + sponsor_democrat | -6.972912 .3659102 -19.06 0.000 -7.690265 -6.255558 + sponsor_rookie | -2.959937 .4689468 -6.31 0.000 -3.87929 -2.040584 + sponsor_tenure_run | .0610141 .0597774 1.02 0.307 -.0561774 .1782056 + sponsor_age | -.0035133 .0199175 -0.18 0.860 -.0425607 .0355342 + leader | -.3637237 .5222134 -0.70 0.486 -1.387504 .660057 + ivycoll | -.0417731 .4851538 -0.09 0.931 -.9928997 .9093535 + black | -1.551141 .7504963 -2.07 0.039 -3.022462 -.0798195 + occ0 | 2.45473 .4842517 5.07 0.000 1.505372 3.404088 + occ1 | 1.875914 .5684362 3.30 0.001 .7615158 2.990313 + occ2 | 2.135428 .4427455 4.82 0.000 1.267441 3.003415 + occ3 | -.8064259 .6743326 -1.20 0.232 -2.128431 .5155789 + occ4 | 1.261389 .5011645 2.52 0.012 .2788739 2.243904 + borninstate | .6456336 .3185099 2.03 0.043 .0212063 1.270061 + tot_bills | -.0599941 .011817 -5.08 0.000 -.0831609 -.0368274 + NE | -.5023513 .5374198 -0.93 0.350 -1.555943 .5512408 + MW | -.7723141 .4604287 -1.68 0.094 -1.674968 .1303398 + WE | -2.208694 .5046005 -4.38 0.000 -3.197946 -1.219443 + pct_black | -1.205326 1.666917 -0.72 0.470 -4.473256 2.062604 + pct_urban | 1.438132 1.136807 1.27 0.206 -.7905377 3.666802 + pct_for_born | -3.915668 2.242678 -1.75 0.081 -8.312357 .4810213 + pct_age_over65 | 22.58392 4.429789 5.10 0.000 13.89948 31.26837 + lninc | 2.390292 .9220421 2.59 0.010 .5826617 4.197922 + lnpden | -.3266394 .1742737 -1.87 0.061 -.6682967 .0150179 + _cons | -10.12825 9.297308 -1.09 0.276 -28.35529 8.098786 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,746 1 0 1 1 +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 oc +> c3 occ4 borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if sponsor_party==100 & tag_bill==1, robust cluster(group_spons +> or) +note: sponsor_democrat omitted because of collinearity + +Linear regression Number of obs = 32,846 + F(290, 2491) = . + Prob > F = . + R-squared = 0.0987 + Root MSE = 17.238 + + (Std. Err. adjusted for 2,492 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -1.504653 .4191066 -3.59 0.000 -2.326486 -.6828196 + | + v2 | + 102 | -1.629382 .6244899 -2.61 0.009 -2.853955 -.4048094 + 103 | .3644704 .9174305 0.40 0.691 -1.434535 2.163475 + 104 | -2.583997 1.056702 -2.45 0.015 -4.656103 -.5118914 + 105 | -2.226405 .9788701 -2.27 0.023 -4.145888 -.3069225 + 106 | -1.955763 .9205922 -2.12 0.034 -3.760968 -.1505587 + 107 | -2.197592 .9547956 -2.30 0.021 -4.069867 -.3253174 + 108 | -6.760168 3.008986 -2.25 0.025 -12.66054 -.8597959 + 109 | -6.695988 3.016735 -2.22 0.027 -12.61155 -.7804215 + 110 | -.4313507 2.977244 -0.14 0.885 -6.269478 5.406777 + 111 | -2.800401 3.019938 -0.93 0.354 -8.722248 3.121445 + | + minor | + 101 | -6.5286 3.903588 -1.67 0.095 -14.18321 1.12601 + 103 | -5.73601 3.013134 -1.90 0.057 -11.64451 .1724941 + 104 | -3.028993 4.773446 -0.63 0.526 -12.38932 6.331337 + 105 | -4.035667 3.032146 -1.33 0.183 -9.981453 1.910119 + 107 | -.9769445 2.79409 -0.35 0.727 -6.455923 4.502034 + 108 | 1.104473 3.983822 0.28 0.782 -6.707471 8.916417 + 110 | -13.00578 3.040115 -4.28 0.000 -18.96719 -7.044364 + 200 | -3.842424 3.021293 -1.27 0.204 -9.766929 2.082081 + 201 | -9.982452 2.86578 -3.48 0.001 -15.60201 -4.362896 + 202 | -5.681135 2.83289 -2.01 0.045 -11.2362 -.1260743 + 204 | 4.882668 4.950446 0.99 0.324 -4.824744 14.59008 + 205 | 2.50642 4.125656 0.61 0.544 -5.583649 10.59649 + 206 | -10.34825 2.92604 -3.54 0.000 -16.08597 -4.610533 + 207 | .5889172 3.309328 0.18 0.859 -5.9004 7.078234 + 208 | -1.839665 2.983526 -0.62 0.538 -7.690111 4.010781 + 209 | -10.0757 2.848169 -3.54 0.000 -15.66073 -4.490681 + 299 | -5.253401 6.659297 -0.79 0.430 -18.31173 7.804926 + 300 | -2.760144 3.029574 -0.91 0.362 -8.700886 3.180598 + 301 | -1.962125 2.902273 -0.68 0.499 -7.65324 3.72899 + 302 | -1.297583 2.806857 -0.46 0.644 -6.801597 4.20643 + 321 | -.7825753 2.928579 -0.27 0.789 -6.525274 4.960124 + 322 | -1.025096 2.91831 -0.35 0.725 -6.74766 4.697467 + 323 | 3.156473 3.04484 1.04 0.300 -2.814204 9.12715 + 324 | -3.571609 3.127616 -1.14 0.254 -9.704603 2.561385 + 325 | .0124107 2.922414 0.00 0.997 -5.7182 5.743021 + 331 | 1.424035 2.855724 0.50 0.618 -4.175801 7.023872 + 332 | -1.773517 2.835241 -0.63 0.532 -7.333189 3.786155 + 333 | -1.820993 2.925628 -0.62 0.534 -7.557905 3.91592 + 334 | .608508 2.870918 0.21 0.832 -5.021124 6.23814 + 335 | -6.396225 2.840569 -2.25 0.024 -11.96634 -.8261053 + 336 | 2.739529 2.976117 0.92 0.357 -3.096389 8.575448 + 341 | -1.463034 3.105071 -0.47 0.638 -7.551819 4.625751 + 342 | 1.722907 3.93873 0.44 0.662 -6.000614 9.446428 + 343 | -1.391148 3.275615 -0.42 0.671 -7.814355 5.03206 + 344 | -2.441427 3.555868 -0.69 0.492 -9.414187 4.531334 + 398 | 2.768453 2.895308 0.96 0.339 -2.909005 8.445911 + 399 | -.4439325 3.523127 -0.13 0.900 -7.352491 6.464626 + 400 | -2.306074 3.617373 -0.64 0.524 -9.399441 4.787293 + 401 | 3.251766 3.861356 0.84 0.400 -4.320032 10.82356 + 402 | 1.717028 3.049829 0.56 0.573 -4.263433 7.697489 + 403 | -2.038186 3.017483 -0.68 0.499 -7.955219 3.878848 + 404 | 1.406537 4.171668 0.34 0.736 -6.773757 9.58683 + 405 | 12.14016 4.495735 2.70 0.007 3.324395 20.95592 + 498 | 4.941099 5.025092 0.98 0.326 -4.912689 14.79489 + 499 | .8693855 5.328605 0.16 0.870 -9.579565 11.31834 + 500 | -6.664558 3.087638 -2.16 0.031 -12.71916 -.6099561 + 501 | -3.854659 3.042676 -1.27 0.205 -9.821094 2.111776 + 502 | -4.752523 2.979961 -1.59 0.111 -10.59598 1.090933 + 503 | -3.375251 2.769399 -1.22 0.223 -8.805811 2.055309 + 504 | -4.784126 2.956146 -1.62 0.106 -10.58088 1.012631 + 505 | -1.157411 3.283067 -0.35 0.724 -7.595232 5.280409 + 506 | -4.826404 3.085744 -1.56 0.118 -10.87729 1.224483 + 508 | -4.940393 2.857082 -1.73 0.084 -10.54289 .6621071 + 529 | 9.488975 5.836326 1.63 0.104 -1.955574 20.93352 + 530 | -3.396904 2.847178 -1.19 0.233 -8.979983 2.186176 + 599 | -3.916757 3.767441 -1.04 0.299 -11.30439 3.47088 + 600 | -3.375787 3.057739 -1.10 0.270 -9.37176 2.620185 + 601 | -.4993509 2.784705 -0.18 0.858 -5.959925 4.961223 + 602 | -3.612042 2.776623 -1.30 0.193 -9.056769 1.832685 + 603 | -4.152179 2.95396 -1.41 0.160 -9.944649 1.640291 + 604 | .4822072 4.317436 0.11 0.911 -7.983926 8.948341 + 606 | -.583162 3.349045 -0.17 0.862 -7.150361 5.984037 + 607 | -2.528544 2.875383 -0.88 0.379 -8.166932 3.109844 + 609 | .4769123 3.943413 0.12 0.904 -7.255793 8.209618 + 698 | 1.948849 5.511211 0.35 0.724 -8.858177 12.75587 + 699 | -.6010796 3.232954 -0.19 0.853 -6.940634 5.738475 + 700 | -.770972 3.138426 -0.25 0.806 -6.925163 5.383219 + 701 | -2.517319 3.04046 -0.83 0.408 -8.479407 3.444769 + 703 | -.5045308 3.132097 -0.16 0.872 -6.646313 5.637251 + 704 | -2.686394 2.925229 -0.92 0.359 -8.422524 3.049737 + 705 | -.1108192 3.197065 -0.03 0.972 -6.379997 6.158359 + 707 | .3473669 3.152511 0.11 0.912 -5.834444 6.529178 + 708 | -6.759362 3.034933 -2.23 0.026 -12.71061 -.8081106 + 709 | 3.301241 2.926717 1.13 0.259 -2.437808 9.04029 + 710 | .9417608 3.106294 0.30 0.762 -5.149423 7.032945 + 711 | -1.281831 3.277324 -0.39 0.696 -7.70839 5.144729 + 798 | -3.112874 3.51982 -0.88 0.377 -10.01495 3.7892 + 799 | -1.27314 5.162095 -0.25 0.805 -11.39558 8.849298 + 800 | -4.279421 3.106214 -1.38 0.168 -10.37045 1.811606 + 801 | 2.305548 3.64684 0.63 0.527 -4.845602 9.456698 + 802 | 1.663355 3.213794 0.52 0.605 -4.638628 7.965339 + 803 | -2.599678 2.953575 -0.88 0.379 -8.391393 3.192037 + 805 | 4.141365 4.769834 0.87 0.385 -5.211882 13.49461 + 806 | 2.462579 2.987782 0.82 0.410 -3.396212 8.321371 + 807 | -.568688 3.18235 -0.18 0.858 -6.809011 5.671635 + 898 | 1.925115 4.423785 0.44 0.663 -6.749558 10.59979 + 899 | -9.52394 3.675541 -2.59 0.010 -16.73137 -2.31651 + 1000 | 1.143682 3.640996 0.31 0.753 -5.996007 8.283371 + 1001 | -4.036332 3.510038 -1.15 0.250 -10.91923 2.846561 + 1002 | .4143428 3.327396 0.12 0.901 -6.110404 6.939089 + 1003 | 2.777329 2.997155 0.93 0.354 -3.099842 8.654501 + 1005 | -.4433199 3.248677 -0.14 0.891 -6.813706 5.927066 + 1006 | 2.10158 3.196404 0.66 0.511 -4.166302 8.369462 + 1007 | 1.186695 3.171774 0.37 0.708 -5.03289 7.40628 + 1010 | -5.981697 3.217513 -1.86 0.063 -12.29097 .327578 + 1098 | -2.614198 4.921892 -0.53 0.595 -12.26562 7.037223 + 1099 | 3.173188 10.82601 0.29 0.769 -18.05572 24.40209 + 1200 | -4.544944 3.660388 -1.24 0.214 -11.72266 2.632771 + 1201 | -1.146886 3.096197 -0.37 0.711 -7.218271 4.924498 + 1202 | 4.017712 3.903789 1.03 0.303 -3.637292 11.67272 + 1203 | 1.583597 3.063342 0.52 0.605 -4.423362 7.590557 + 1204 | 3.861734 3.466892 1.11 0.265 -2.936552 10.66002 + 1205 | -1.843858 3.541772 -0.52 0.603 -8.788977 5.101261 + 1206 | -4.531851 3.161575 -1.43 0.152 -10.73144 1.667734 + 1207 | .1329606 3.211347 0.04 0.967 -6.164224 6.430145 + 1208 | -2.335531 2.847219 -0.82 0.412 -7.918689 3.247628 + 1209 | -5.367776 2.821594 -1.90 0.057 -10.90069 .1651355 + 1210 | -2.396623 3.138282 -0.76 0.445 -8.550533 3.757286 + 1211 | -4.037933 3.162216 -1.28 0.202 -10.23878 2.162911 + 1299 | -2.565023 4.383755 -0.59 0.559 -11.1612 6.031156 + 1300 | -1.798054 3.292855 -0.55 0.585 -8.255069 4.658961 + 1301 | -3.536508 2.970065 -1.19 0.234 -9.360559 2.287543 + 1302 | -5.735506 2.978758 -1.93 0.054 -11.5766 .1055908 + 1303 | -4.702923 2.806768 -1.68 0.094 -10.20676 .8009164 + 1304 | -2.172921 2.976804 -0.73 0.465 -8.010186 3.664343 + 1305 | .7069628 3.268185 0.22 0.829 -5.701676 7.115601 + 1399 | -2.223742 5.232121 -0.43 0.671 -12.4835 8.036011 + 1400 | -.8596374 3.050316 -0.28 0.778 -6.841053 5.121778 + 1401 | -.0912058 3.232232 -0.03 0.977 -6.429343 6.246932 + 1403 | -2.40725 3.575341 -0.67 0.501 -9.418195 4.603696 + 1404 | -2.334313 4.690808 -0.50 0.619 -11.5326 6.863972 + 1405 | -.2177879 3.279479 -0.07 0.947 -6.648574 6.212998 + 1406 | -5.262729 2.852365 -1.85 0.065 -10.85598 .3305219 + 1407 | 1.921207 3.466796 0.55 0.580 -4.876891 8.719304 + 1408 | -2.567878 3.877663 -0.66 0.508 -10.17165 5.035896 + 1409 | -2.624109 3.64259 -0.72 0.471 -9.766925 4.518706 + 1410 | .0192848 3.666829 0.01 0.996 -7.171062 7.209632 + 1499 | -4.10031 5.275279 -0.78 0.437 -14.44469 6.244074 + 1500 | -.686719 3.775295 -0.18 0.856 -8.089759 6.716321 + 1501 | -.8500843 2.879411 -0.30 0.768 -6.49637 4.796201 + 1502 | .6640533 3.047418 0.22 0.828 -5.31168 6.639786 + 1504 | -1.157432 2.970959 -0.39 0.697 -6.983236 4.668372 + 1505 | 1.374982 3.435468 0.40 0.689 -5.361685 8.111649 + 1507 | -1.272409 3.862026 -0.33 0.742 -8.84552 6.300703 + 1520 | -3.322952 3.200682 -1.04 0.299 -9.599223 2.95332 + 1521 | .6599275 3.040905 0.22 0.828 -5.303033 6.622889 + 1522 | 10.97505 3.599962 3.05 0.002 3.915819 18.03427 + 1523 | .3099647 2.873598 0.11 0.914 -5.324922 5.944852 + 1524 | 9.425047 5.423283 1.74 0.082 -1.209559 20.05965 + 1525 | -1.845918 2.888719 -0.64 0.523 -7.510455 3.81862 + 1526 | .490454 3.377092 0.15 0.885 -6.131742 7.11265 + 1599 | 10.04892 5.476007 1.84 0.067 -.6890773 20.78691 + 1600 | 2.819115 3.313694 0.85 0.395 -3.678763 9.316992 + 1602 | -2.005653 3.778598 -0.53 0.596 -9.415169 5.403862 + 1603 | -7.992959 3.502427 -2.28 0.023 -14.86093 -1.124991 + 1604 | 5.232505 6.166996 0.85 0.396 -6.860461 17.32547 + 1605 | -1.11745 3.418464 -0.33 0.744 -7.820772 5.585873 + 1606 | 3.712815 4.194374 0.89 0.376 -4.512004 11.93763 + 1608 | .992505 2.841873 0.35 0.727 -4.580171 6.56518 + 1609 | -.0289411 2.876642 -0.01 0.992 -5.669797 5.611914 + 1610 | .0099632 3.555979 0.00 0.998 -6.963016 6.982943 + 1611 | -1.581178 3.577593 -0.44 0.659 -8.596539 5.434184 + 1612 | .0903433 3.25669 0.03 0.978 -6.295754 6.476441 + 1614 | 1.254671 4.248081 0.30 0.768 -7.075462 9.584804 + 1615 | .7956784 3.32544 0.24 0.811 -5.725233 7.31659 + 1616 | .1157393 3.394055 0.03 0.973 -6.53972 6.771199 + 1617 | -1.598306 3.850372 -0.42 0.678 -9.148564 5.951952 + 1619 | -6.829136 3.152548 -2.17 0.030 -13.01102 -.6472521 + 1620 | 3.905841 4.937194 0.79 0.429 -5.775586 13.58727 + 1698 | 8.276094 6.81929 1.21 0.225 -5.095966 21.64815 + 1699 | 5.873755 3.283536 1.79 0.074 -.5649865 12.3125 + 1700 | 5.238261 4.192256 1.25 0.212 -2.982404 13.45893 + 1701 | 4.319728 3.562667 1.21 0.225 -2.666366 11.30582 + 1704 | 19.49147 7.976712 2.44 0.015 3.849798 35.13313 + 1705 | 1.465906 5.682244 0.26 0.796 -9.676502 12.60831 + 1706 | 2.752114 3.174905 0.87 0.386 -3.473611 8.977839 + 1707 | 1.909757 3.009748 0.63 0.526 -3.992107 7.811621 + 1708 | 6.099744 3.924851 1.55 0.120 -1.596562 13.79605 + 1709 | 4.888155 3.509759 1.39 0.164 -1.994191 11.7705 + 1798 | -.9074889 3.450357 -0.26 0.793 -7.673352 5.858374 + 1799 | -3.18367 6.555552 -0.49 0.627 -16.03856 9.671222 + 1800 | -4.00804 3.404158 -1.18 0.239 -10.68331 2.667231 + 1802 | -.9057501 3.153158 -0.29 0.774 -7.08883 5.27733 + 1803 | .1519961 3.240552 0.05 0.963 -6.202457 6.506449 + 1804 | -1.758238 3.8334 -0.46 0.647 -9.275216 5.75874 + 1806 | 2.46084 3.919972 0.63 0.530 -5.225898 10.14758 + 1807 | -9.684933 2.772591 -3.49 0.000 -15.12175 -4.248112 + 1808 | 8.598686 8.400476 1.02 0.306 -7.873947 25.07132 + 1899 | 2.270926 9.049674 0.25 0.802 -15.47473 20.01658 + 1900 | .4940202 3.786824 0.13 0.896 -6.931626 7.919666 + 1901 | 1.098003 3.000225 0.37 0.714 -4.78519 6.981195 + 1902 | 2.384439 3.666321 0.65 0.516 -4.804912 9.573789 + 1905 | -.7933373 3.317149 -0.24 0.811 -7.29799 5.711316 + 1906 | .4437256 3.201704 0.14 0.890 -5.834549 6.722001 + 1907 | 7.592664 5.318405 1.43 0.154 -2.836286 18.02161 + 1908 | 4.835922 4.736782 1.02 0.307 -4.452514 14.12436 + 1909 | 4.01245 5.37423 0.75 0.455 -6.525967 14.55087 + 1910 | -6.432853 3.483391 -1.85 0.065 -13.26349 .3977868 + 1911 | -.4954671 3.427627 -0.14 0.885 -7.216758 6.225823 + 1912 | -8.364095 3.598837 -2.32 0.020 -15.42111 -1.307075 + 1914 | -5.385254 3.21666 -1.67 0.094 -11.69286 .9223497 + 1915 | 15.09583 5.04893 2.99 0.003 5.195294 24.99636 + 1919 | 6.703139 5.682356 1.18 0.238 -4.439488 17.84577 + 1920 | 4.155355 3.302396 1.26 0.208 -2.320368 10.63108 + 1925 | -1.41078 3.093563 -0.46 0.648 -7.476998 4.655439 + 1926 | 2.392787 3.888448 0.62 0.538 -5.232136 10.01771 + 1927 | 2.659814 3.987979 0.67 0.505 -5.160282 10.47991 + 1929 | .8084417 3.750381 0.22 0.829 -6.545742 8.162626 + 1999 | -1.544555 9.392164 -0.16 0.869 -19.96181 16.8727 + 2000 | -2.941622 2.988359 -0.98 0.325 -8.801544 2.918301 + 2001 | -.7481107 3.225959 -0.23 0.817 -7.073947 5.577726 + 2002 | -3.485878 3.145677 -1.11 0.268 -9.654289 2.682532 + 2003 | -.5536176 3.179536 -0.17 0.862 -6.788423 5.681188 + 2004 | 1.837791 2.874153 0.64 0.523 -3.798182 7.473765 + 2005 | 11.15151 6.051235 1.84 0.065 -.7144569 23.01748 + 2006 | 11.61248 2.96505 3.92 0.000 5.798265 17.4267 + 2007 | -4.167275 3.189268 -1.31 0.191 -10.42116 2.086613 + 2008 | 11.63104 2.870175 4.05 0.000 6.00287 17.25922 + 2009 | 3.392518 4.43068 0.77 0.444 -5.295676 12.08071 + 2010 | -14.4503 2.890357 -5.00 0.000 -20.11805 -8.782549 + 2011 | .6628708 3.1371 0.21 0.833 -5.488721 6.814462 + 2012 | -5.487865 2.916416 -1.88 0.060 -11.20671 .2309845 + 2013 | -1.700909 4.639553 -0.37 0.714 -10.79869 7.396868 + 2014 | 5.316854 3.828455 1.39 0.165 -2.190428 12.82414 + 2015 | -1.73616 4.146374 -0.42 0.675 -9.866854 6.394533 + 2030 | -.6369125 4.232596 -0.15 0.880 -8.93668 7.662855 + 2099 | 4.015193 3.649948 1.10 0.271 -3.14205 11.17244 + 2100 | -2.402384 3.695001 -0.65 0.516 -9.647974 4.843206 + 2101 | -.1695729 2.844776 -0.06 0.952 -5.747941 5.408796 + 2102 | .7976878 2.931131 0.27 0.786 -4.950016 6.545392 + 2103 | 1.231628 2.89077 0.43 0.670 -4.436932 6.900187 + 2104 | -.7237611 2.984311 -0.24 0.808 -6.575747 5.128224 + 2105 | -.0953676 5.406103 -0.02 0.986 -10.69629 10.50555 + 2199 | 2.828799 12.91653 0.22 0.827 -22.49945 28.15705 + 9999 | -1.328534 3.79288 -0.35 0.726 -8.766056 6.108988 + | + house_administration | .3791125 .8486428 0.45 0.655 -1.285005 2.04323 + house_agriculture | -.0228344 .6555862 -0.03 0.972 -1.308384 1.262716 + house_appropriations | -9.946994 1.003416 -9.91 0.000 -11.91461 -7.979379 + house_armedservices | -2.420493 .6040278 -4.01 0.000 -3.604941 -1.236044 + house_budget | -4.014353 1.186557 -3.38 0.001 -6.341092 -1.687615 + house_dc | -5.975084 3.005221 -1.99 0.047 -11.86807 -.0820944 + house_educlabor | -3.254084 .3648241 -8.92 0.000 -3.969474 -2.538694 + house_energycommerce | -1.047187 .3929438 -2.66 0.008 -1.817717 -.2766567 + house_foreignaffairs | .0715551 .8509778 0.08 0.933 -1.597142 1.740252 + house_governmentop | .3347973 1.179455 0.28 0.777 -1.978016 2.64761 + house_intelligence | -.2993574 1.726773 -0.17 0.862 -3.685415 3.0867 + house_interior | -3.75799 .9928044 -3.79 0.000 -5.704797 -1.811183 + house_judiciary | 1.424866 .4768172 2.99 0.003 .489867 2.359865 + house_mmf | 4.47198 1.297178 3.45 0.001 1.928321 7.015639 + house_pocs | .0502767 1.016215 0.05 0.961 -1.942437 2.04299 + house_pwt | -.4352154 1.019508 -0.43 0.669 -2.434386 1.563955 + house_rules | .9207163 1.143212 0.81 0.421 -1.321028 3.16246 + house_sst | 2.938922 1.405141 2.09 0.037 .1835571 5.694287 + house_smallbusi | -5.057488 1.397991 -3.62 0.000 -7.798833 -2.316144 + house_soc | .2358551 5.530196 0.04 0.966 -10.6084 11.08011 + house_veterans | -.9605027 .6722823 -1.43 0.153 -2.278792 .357787 + house_waysandmeans | .7680173 .3504154 2.19 0.028 .0808819 1.455153 +house_naturalresources | -4.112959 .8552191 -4.81 0.000 -5.789973 -2.435946 + house_bfs | -2.105708 .5193972 -4.05 0.000 -3.124203 -1.087214 + house_eeo | -2.315105 1.175991 -1.97 0.049 -4.621126 -.0090854 + house_govreform | 3.911697 .6950695 5.63 0.000 2.548724 5.274671 + house_ir | 2.212661 .9214647 2.40 0.016 .4057456 4.019577 + house_natsecur | 1.420435 1.53719 0.92 0.356 -1.593867 4.434737 + house_oversight | -3.103377 .9969704 -3.11 0.002 -5.058354 -1.148401 + house_resources | 1.684125 .8909869 1.89 0.059 -.0630264 3.431276 + house_science | -1.212698 .89666 -1.35 0.176 -2.970974 .5455777 + house_transp | -1.990137 .5776158 -3.45 0.001 -3.122794 -.8574804 + house_homeland | -.5607219 1.198633 -0.47 0.640 -2.911142 1.789699 + sponsor_democrat | 0 (omitted) + sponsor_rookie | -3.243307 .5739206 -5.65 0.000 -4.368717 -2.117896 + sponsor_tenure_run | -.0753429 .0572446 -1.32 0.188 -.1875947 .0369089 + sponsor_age | -.0215911 .0210505 -1.03 0.305 -.0628694 .0196871 + leader | -.0800954 .5224264 -0.15 0.878 -1.10453 .9443393 + ivycoll | .1848397 .4864113 0.38 0.704 -.7689725 1.138652 + black | -3.10229 .7751107 -4.00 0.000 -4.622217 -1.582362 + occ0 | .2003953 .5168317 0.39 0.698 -.8130686 1.213859 + occ1 | 1.500778 .5606242 2.68 0.007 .4014401 2.600115 + occ2 | .7099638 .4860105 1.46 0.144 -.2430625 1.66299 + occ3 | .6301644 .795211 0.79 0.428 -.9291783 2.189507 + occ4 | -.1452163 .6251953 -0.23 0.816 -1.371172 1.08074 + borninstate | .4816827 .342829 1.41 0.160 -.1905765 1.153942 + tot_bills | -.0577706 .0104914 -5.51 0.000 -.0783435 -.0371978 + NE | -2.633415 .5556392 -4.74 0.000 -3.722977 -1.543852 + MW | -.7964627 .5709336 -1.40 0.163 -1.916016 .3230905 + WE | -1.881915 .5561981 -3.38 0.001 -2.972574 -.7912571 + pct_black | 1.130878 1.797991 0.63 0.529 -2.394832 4.656588 + pct_urban | -.6649671 1.317534 -0.50 0.614 -3.248542 1.918608 + pct_for_born | -1.960299 2.254701 -0.87 0.385 -6.381581 2.460982 + pct_age_over65 | 15.8546 5.630836 2.82 0.005 4.812998 26.8962 + lninc | -1.141879 .8532938 -1.34 0.181 -2.815117 .5313592 + lnpden | -.2210076 .1942229 -1.14 0.255 -.6018627 .1598474 + _cons | 30.09988 8.745922 3.44 0.001 12.94986 47.24991 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,492 1 0 1 1 +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 oc +> c3 occ4 borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if sponsor_party==200 & tag_bill==1, robust cluster(group_spons +> or) +note: sponsor_democrat omitted because of collinearity + +Linear regression Number of obs = 27,669 + F(289, 2243) = . + Prob > F = . + R-squared = 0.1704 + Root MSE = 21.845 + + (Std. Err. adjusted for 2,244 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 3.665664 .9164247 4.00 0.000 1.868535 5.462794 + | + v2 | + 102 | -.6937087 1.39065 -0.50 0.618 -3.420805 2.033387 + 103 | -4.269027 1.641423 -2.60 0.009 -7.487893 -1.05016 + 104 | -1.999287 1.628491 -1.23 0.220 -5.192794 1.194221 + 105 | -.7054743 1.597064 -0.44 0.659 -3.837351 2.426403 + 106 | 1.18941 1.618171 0.74 0.462 -1.98386 4.36268 + 107 | 1.983774 1.629192 1.22 0.223 -1.211108 5.178655 + 108 | 3.475012 4.154618 0.84 0.403 -4.672287 11.62231 + 109 | 2.035639 4.094132 0.50 0.619 -5.993044 10.06432 + 110 | -4.182659 4.162108 -1.00 0.315 -12.34464 3.979327 + 111 | -4.32396 4.223233 -1.02 0.306 -12.60581 3.957895 + | + minor | + 101 | 5.47676 5.833534 0.94 0.348 -5.96293 16.91645 + 103 | 7.91402 7.982619 0.99 0.322 -7.740073 23.56811 + 104 | 2.888076 3.545674 0.81 0.415 -4.06507 9.841223 + 105 | 6.51559 3.039925 2.14 0.032 .5542293 12.47695 + 107 | 4.564393 2.794563 1.63 0.103 -.9158067 10.04459 + 108 | 10.7174 6.362052 1.68 0.092 -1.758727 23.19352 + 110 | -2.864991 3.665726 -0.78 0.435 -10.05356 4.323579 + 200 | 4.476304 3.341479 1.34 0.181 -2.076412 11.02902 + 201 | 14.76501 15.20664 0.97 0.332 -15.05555 44.58556 + 202 | 15.90081 7.781481 2.04 0.041 .641153 31.16047 + 204 | 19.85362 6.170239 3.22 0.001 7.753644 31.9536 + 205 | 14.75371 6.603312 2.23 0.026 1.804473 27.70295 + 206 | 7.091947 3.866012 1.83 0.067 -.4893889 14.67328 + 207 | 4.538096 3.039329 1.49 0.136 -1.422096 10.49829 + 208 | 7.103013 3.27089 2.17 0.030 .6887255 13.5173 + 209 | -9.045901 2.90619 -3.11 0.002 -14.74501 -3.346797 + 299 | 6.512463 4.087318 1.59 0.111 -1.502859 14.52778 + 300 | 15.12661 3.943463 3.84 0.000 7.393388 22.85983 + 301 | 11.09023 3.184369 3.48 0.001 4.845614 17.33485 + 302 | 10.92478 2.924067 3.74 0.000 5.190624 16.65894 + 321 | 17.828 3.297411 5.41 0.000 11.3617 24.29429 + 322 | 21.99393 3.312967 6.64 0.000 15.49713 28.49073 + 323 | 17.94442 3.462544 5.18 0.000 11.1543 24.73455 + 324 | 3.211908 3.400091 0.94 0.345 -3.455747 9.879562 + 325 | 25.76055 3.589005 7.18 0.000 18.72243 32.79867 + 331 | 29.53262 3.564568 8.29 0.000 22.54242 36.52282 + 332 | 24.22703 3.776019 6.42 0.000 16.82217 31.63189 + 333 | 31.91536 5.601986 5.70 0.000 20.92974 42.90098 + 334 | 19.98037 3.52674 5.67 0.000 13.06435 26.89638 + 335 | 14.04282 4.021147 3.49 0.000 6.157264 21.92838 + 336 | 25.10292 3.763029 6.67 0.000 17.72353 32.4823 + 341 | 28.95537 5.719363 5.06 0.000 17.73958 40.17117 + 342 | 27.66625 7.01154 3.95 0.000 13.91646 41.41603 + 343 | 9.702057 4.745693 2.04 0.041 .3956473 19.00847 + 344 | 37.94039 11.81351 3.21 0.001 14.77384 61.10694 + 398 | 24.6378 3.489507 7.06 0.000 17.7948 31.4808 + 399 | 17.90584 5.138343 3.48 0.001 7.829432 27.98224 + 400 | 9.894495 4.236193 2.34 0.020 1.587226 18.20176 + 401 | 11.3155 3.669893 3.08 0.002 4.118758 18.51224 + 402 | 12.61213 3.110495 4.05 0.000 6.512383 18.71188 + 403 | 9.756401 3.813736 2.56 0.011 2.27758 17.23522 + 404 | 13.65711 4.117598 3.32 0.001 5.58241 21.73181 + 405 | 21.14135 5.509781 3.84 0.000 10.33655 31.94615 + 498 | 12.74029 4.848075 2.63 0.009 3.233105 22.24747 + 499 | 10.34967 4.110019 2.52 0.012 2.289829 18.40951 + 500 | 9.843541 5.23674 1.88 0.060 -.425822 20.1129 + 501 | 6.044485 3.621681 1.67 0.095 -1.057712 13.14668 + 502 | 8.962986 3.751423 2.39 0.017 1.606362 16.31961 + 503 | 6.685657 2.841964 2.35 0.019 1.112503 12.25881 + 504 | -2.627999 3.268438 -0.80 0.421 -9.03748 3.781481 + 505 | 3.585748 3.377757 1.06 0.289 -3.038107 10.2096 + 506 | 5.552254 4.529226 1.23 0.220 -3.329658 14.43417 + 508 | 12.33011 4.087419 3.02 0.003 4.314588 20.34562 + 529 | 12.55123 4.811526 2.61 0.009 3.115718 21.98674 + 530 | 10.26709 2.901521 3.54 0.000 4.577147 15.95704 + 599 | .7655952 5.593122 0.14 0.891 -10.20264 11.73383 + 600 | 4.253168 3.546586 1.20 0.231 -2.701766 11.2081 + 601 | 14.49985 2.957432 4.90 0.000 8.700262 20.29944 + 602 | 12.36125 3.196543 3.87 0.000 6.092764 18.62975 + 603 | 12.09238 4.781483 2.53 0.012 2.71579 21.46898 + 604 | 16.35844 6.312637 2.59 0.010 3.979216 28.73766 + 606 | 10.59442 4.51539 2.35 0.019 1.739638 19.4492 + 607 | 20.05785 3.75053 5.35 0.000 12.70298 27.41272 + 609 | 15.08057 5.645832 2.67 0.008 4.008963 26.15217 + 698 | -.7339024 8.282833 -0.09 0.929 -16.97672 15.50892 + 699 | 8.642743 5.779215 1.50 0.135 -2.690426 19.97591 + 700 | 13.14227 3.643548 3.61 0.000 5.997187 20.28734 + 701 | 11.81029 3.471165 3.40 0.001 5.003262 18.61733 + 703 | 11.79911 3.625853 3.25 0.001 4.688736 18.90949 + 704 | 7.303853 3.299253 2.21 0.027 .8339439 13.77376 + 705 | 3.1892 3.23591 0.99 0.324 -3.156491 9.534892 + 707 | 19.8253 6.288305 3.15 0.002 7.493789 32.1568 + 708 | 14.06896 6.91469 2.03 0.042 .5091045 27.62882 + 709 | 14.7701 3.191484 4.63 0.000 8.511533 21.02867 + 710 | 15.98472 3.416159 4.68 0.000 9.285552 22.68388 + 711 | 15.54588 3.611991 4.30 0.000 8.462684 22.62907 + 798 | 18.86531 5.381792 3.51 0.000 8.311494 29.41912 + 799 | 13.43685 5.276085 2.55 0.011 3.090332 23.78337 + 800 | 5.893997 3.739469 1.58 0.115 -1.439185 13.22718 + 801 | 8.5511 4.018001 2.13 0.033 .671712 16.43049 + 802 | 7.13458 3.360675 2.12 0.034 .5442219 13.72494 + 803 | 8.058404 3.011838 2.68 0.008 2.152122 13.96469 + 805 | 7.829775 4.494409 1.74 0.082 -.9838595 16.64341 + 806 | 11.86417 3.334272 3.56 0.000 5.325591 18.40275 + 807 | 15.13879 3.886631 3.90 0.000 7.517025 22.76056 + 898 | 4.55607 6.166538 0.74 0.460 -7.536649 16.64879 + 899 | 2.571777 9.597914 0.27 0.789 -16.24995 21.3935 + 1000 | 11.11078 3.903181 2.85 0.004 3.456556 18.765 + 1001 | 23.2983 4.224799 5.51 0.000 15.01338 31.58322 + 1002 | 13.40967 3.17585 4.22 0.000 7.181759 19.63758 + 1003 | 13.0355 3.043612 4.28 0.000 7.066914 19.00409 + 1005 | 12.93311 4.232653 3.06 0.002 4.632779 21.23343 + 1006 | 15.70998 3.416153 4.60 0.000 9.010824 22.40913 + 1007 | 12.92127 3.225246 4.01 0.000 6.59649 19.24605 + 1010 | 14.99273 6.922079 2.17 0.030 1.418383 28.56708 + 1098 | 5.426917 6.274941 0.86 0.387 -6.878381 17.73221 + 1099 | 7.637615 10.73165 0.71 0.477 -13.4074 28.68263 + 1200 | 10.74988 4.730437 2.27 0.023 1.473387 20.02637 + 1201 | 17.05404 3.595986 4.74 0.000 10.00224 24.10585 + 1202 | 11.71766 4.083791 2.87 0.004 3.709256 19.72606 + 1203 | 4.725682 3.132443 1.51 0.132 -1.417108 10.86847 + 1204 | 7.919544 3.049157 2.60 0.009 1.94008 13.89901 + 1205 | 10.2112 3.520392 2.90 0.004 3.307635 17.11477 + 1206 | 11.02708 4.351609 2.53 0.011 2.493475 19.56068 + 1207 | 11.32383 3.258653 3.48 0.001 4.933535 17.71412 + 1208 | 17.52929 3.231101 5.43 0.000 11.19303 23.86555 + 1209 | 17.72902 3.016476 5.88 0.000 11.81364 23.64439 + 1210 | 8.849881 3.087466 2.87 0.004 2.795291 14.90447 + 1211 | 15.39959 4.041627 3.81 0.000 7.473874 23.32531 + 1299 | 15.01116 5.988604 2.51 0.012 3.267377 26.75495 + 1300 | 5.658736 4.208059 1.34 0.179 -2.593361 13.91083 + 1301 | 19.78897 5.205855 3.80 0.000 9.580174 29.99777 + 1302 | 5.765544 4.055654 1.42 0.155 -2.187684 13.71877 + 1303 | 8.815964 3.370904 2.62 0.009 2.205546 15.42638 + 1304 | 18.9172 3.987969 4.74 0.000 11.09671 26.7377 + 1305 | 13.42185 4.67538 2.87 0.004 4.253328 22.59037 + 1399 | 10.29617 7.973613 1.29 0.197 -5.340263 25.9326 + 1400 | 9.984245 3.682943 2.71 0.007 2.761913 17.20658 + 1401 | 15.77015 4.015757 3.93 0.000 7.895161 23.64514 + 1403 | 23.54084 6.955234 3.38 0.001 9.901476 37.18021 + 1404 | 12.16042 6.147555 1.98 0.048 .1049289 24.21591 + 1405 | 15.22899 4.576315 3.33 0.001 6.254733 24.20324 + 1406 | 11.21653 3.853433 2.91 0.004 3.659862 18.7732 + 1407 | 27.21381 5.021491 5.42 0.000 17.36655 37.06107 + 1408 | 2.100024 5.855719 0.36 0.720 -9.383171 13.58322 + 1409 | 20.43211 5.778541 3.54 0.000 9.100263 31.76396 + 1410 | 15.7469 4.112432 3.83 0.000 7.68233 23.81147 + 1499 | 11.05712 6.475655 1.71 0.088 -1.641779 23.75603 + 1500 | 7.394288 4.0481 1.83 0.068 -.5441257 15.3327 + 1501 | 12.01773 3.097747 3.88 0.000 5.942979 18.09248 + 1502 | 9.010036 3.066126 2.94 0.003 2.997295 15.02278 + 1504 | 12.75589 3.41726 3.73 0.000 6.054571 19.45721 + 1505 | 19.71668 3.795033 5.20 0.000 12.27454 27.15882 + 1507 | 13.56086 3.864275 3.51 0.000 5.982931 21.13879 + 1520 | 9.338422 3.578043 2.61 0.009 2.3218 16.35504 + 1521 | 8.528239 3.10913 2.74 0.006 2.431166 14.62531 + 1522 | 21.72184 3.589502 6.05 0.000 14.68275 28.76094 + 1523 | 11.35003 3.168918 3.58 0.000 5.135711 17.56435 + 1524 | 18.83249 6.233624 3.02 0.003 6.608217 31.05677 + 1525 | 10.24926 3.528841 2.90 0.004 3.329126 17.1694 + 1526 | 20.4765 3.78882 5.40 0.000 13.04654 27.90646 + 1599 | 13.05062 3.907323 3.34 0.001 5.388276 20.71297 + 1600 | 10.67258 3.901526 2.74 0.006 3.021605 18.32356 + 1602 | 4.555768 6.200933 0.73 0.463 -7.604398 16.71593 + 1603 | 6.609126 4.521372 1.46 0.144 -2.257384 15.47564 + 1604 | 10.53028 4.839102 2.18 0.030 1.040695 20.01987 + 1605 | 8.493275 4.855132 1.75 0.080 -1.027746 18.0143 + 1606 | 17.71396 5.87815 3.01 0.003 6.186779 29.24114 + 1608 | 15.93755 3.059374 5.21 0.000 9.938056 21.93705 + 1609 | 19.83151 3.117255 6.36 0.000 13.7185 25.94452 + 1610 | 11.84619 5.88504 2.01 0.044 .3054953 23.38688 + 1611 | 9.539685 3.878994 2.46 0.014 1.932891 17.14648 + 1612 | 15.77779 3.904966 4.04 0.000 8.120063 23.43551 + 1614 | 6.512903 7.1048 0.92 0.359 -7.419767 20.44557 + 1615 | 11.34204 3.54132 3.20 0.001 4.397433 18.28665 + 1616 | 7.249024 3.70165 1.96 0.050 -.0099937 14.50804 + 1617 | 12.58975 5.65629 2.23 0.026 1.497645 23.68186 + 1619 | 8.076443 4.786972 1.69 0.092 -1.310916 17.4638 + 1620 | 18.65111 6.835647 2.73 0.006 5.246258 32.05597 + 1698 | 11.36566 6.800738 1.67 0.095 -1.970742 24.70205 + 1699 | 17.36384 3.75766 4.62 0.000 9.994985 24.73269 + 1700 | 8.483828 5.33774 1.59 0.112 -1.983599 18.95126 + 1701 | 11.37748 4.567779 2.49 0.013 2.419965 20.33499 + 1704 | 13.4401 5.029607 2.67 0.008 3.576933 23.30327 + 1705 | 3.030906 7.983703 0.38 0.704 -12.62531 18.68712 + 1706 | 13.07094 3.513604 3.72 0.000 6.180688 19.9612 + 1707 | 11.84658 3.620374 3.27 0.001 4.746946 18.94621 + 1708 | 15.85644 4.925306 3.22 0.001 6.197808 25.51508 + 1709 | 18.09338 3.562476 5.08 0.000 11.10729 25.07948 + 1798 | 15.75824 4.484989 3.51 0.000 6.963074 24.5534 + 1799 | 4.513359 8.829906 0.51 0.609 -12.80228 21.829 + 1800 | 8.113581 3.854983 2.10 0.035 .5538748 15.67329 + 1802 | 15.4265 3.47021 4.45 0.000 8.621345 22.23166 + 1803 | 7.989428 3.76437 2.12 0.034 .607414 15.37144 + 1804 | 12.96834 4.482891 2.89 0.004 4.177296 21.75939 + 1806 | 4.193783 4.278888 0.98 0.327 -4.197211 12.58478 + 1807 | -3.167446 2.781342 -1.14 0.255 -8.621719 2.286827 + 1808 | -1.094485 4.20301 -0.26 0.795 -9.336679 7.14771 + 1899 | -3.210679 8.570566 -0.37 0.708 -20.01775 13.59639 + 1900 | 8.940818 4.270151 2.09 0.036 .5669565 17.31468 + 1901 | 8.772531 3.577823 2.45 0.014 1.75634 15.78872 + 1902 | 18.69389 5.185711 3.60 0.000 8.524599 28.86319 + 1905 | 27.24022 7.251042 3.76 0.000 13.02076 41.45967 + 1906 | 9.975173 4.312245 2.31 0.021 1.518764 18.43158 + 1907 | 21.486 5.6374 3.81 0.000 10.43094 32.54107 + 1908 | 16.16222 7.614234 2.12 0.034 1.230539 31.0939 + 1909 | 32.08549 7.752756 4.14 0.000 16.88217 47.28882 + 1910 | 20.52756 9.553677 2.15 0.032 1.792589 39.26254 + 1911 | 18.64184 9.735123 1.91 0.056 -.448958 37.73263 + 1912 | -8.267289 3.205021 -2.58 0.010 -14.55241 -1.982172 + 1914 | 16.17309 5.402796 2.99 0.003 5.578085 26.76809 + 1915 | 15.89365 9.536772 1.67 0.096 -2.808167 34.59547 + 1919 | 14.40642 4.469108 3.22 0.001 5.642402 23.17044 + 1920 | 8.453016 4.085304 2.07 0.039 .4416437 16.46439 + 1925 | 22.02318 4.886817 4.51 0.000 12.44002 31.60634 + 1926 | .8979338 3.83172 0.23 0.815 -6.616155 8.412022 + 1927 | 5.664796 3.48467 1.63 0.104 -1.168719 12.49831 + 1929 | 8.89752 3.925433 2.27 0.024 1.199658 16.59538 + 1999 | 13.32337 13.12621 1.02 0.310 -12.41742 39.06416 + 2000 | 5.278611 3.003523 1.76 0.079 -.6113631 11.16859 + 2001 | 7.488155 3.320181 2.26 0.024 .9772062 13.9991 + 2002 | 5.939912 2.976564 2.00 0.046 .1028045 11.77702 + 2003 | 11.69236 3.568947 3.28 0.001 4.693576 18.69114 + 2004 | 14.0819 3.020725 4.66 0.000 8.158189 20.00561 + 2005 | 5.929894 6.159529 0.96 0.336 -6.149079 18.00887 + 2006 | 26.39322 3.243798 8.14 0.000 20.03206 32.75438 + 2007 | 1.961766 3.475124 0.56 0.572 -4.85303 8.776562 + 2008 | 21.54902 2.922514 7.37 0.000 15.81791 27.28014 + 2009 | 3.22534 3.93225 0.82 0.412 -4.485889 10.93657 + 2011 | 4.762311 2.893937 1.65 0.100 -.9127629 10.43738 + 2012 | 3.09525 2.924275 1.06 0.290 -2.639318 8.829818 + 2013 | 3.178716 5.047251 0.63 0.529 -6.719056 13.07649 + 2014 | 5.75058 4.037048 1.42 0.154 -2.166162 13.66732 + 2015 | 14.27607 5.288862 2.70 0.007 3.904496 24.64765 + 2030 | 6.273056 4.663323 1.35 0.179 -2.871824 15.41794 + 2099 | 10.93874 4.620604 2.37 0.018 1.877631 19.99984 + 2100 | 2.669563 3.363448 0.79 0.427 -3.926233 9.265359 + 2101 | 17.53583 2.935689 5.97 0.000 11.77888 23.29279 + 2102 | 15.12906 3.135534 4.83 0.000 8.980212 21.27791 + 2103 | 6.990385 2.908549 2.40 0.016 1.286657 12.69411 + 2104 | 9.195961 2.976884 3.09 0.002 3.358224 15.0337 + 2105 | 17.70819 5.14894 3.44 0.001 7.611008 27.80538 + 2199 | 3.227655 8.376895 0.39 0.700 -13.19962 19.65493 + 9999 | 3.738429 4.043329 0.92 0.355 -4.19063 11.66749 + | + house_administration | -4.062627 1.176231 -3.45 0.001 -6.369241 -1.756012 + house_agriculture | 3.027158 .9642626 3.14 0.002 1.136218 4.918099 + house_appropriations | -11.42445 1.472922 -7.76 0.000 -14.31289 -8.536021 + house_armedservices | .5296384 .9475404 0.56 0.576 -1.328509 2.387786 + house_budget | -.8958163 1.254158 -0.71 0.475 -3.355249 1.563616 + house_dc | 3.537297 4.900397 0.72 0.470 -6.072489 13.14708 + house_educlabor | -.3986258 .858478 -0.46 0.642 -2.08212 1.284869 + house_energycommerce | 3.624168 .6035164 6.01 0.000 2.440659 4.807677 + house_foreignaffairs | 3.784825 1.983094 1.91 0.056 -.104067 7.673717 + house_governmentop | -1.03119 1.233458 -0.84 0.403 -3.450029 1.387649 + house_intelligence | -5.085372 3.14822 -1.62 0.106 -11.2591 1.088357 + house_interior | 1.083845 1.643067 0.66 0.510 -2.138245 4.305935 + house_judiciary | -2.486984 .5613189 -4.43 0.000 -3.587743 -1.386226 + house_mmf | 1.916168 2.037073 0.94 0.347 -2.078578 5.910914 + house_pocs | 2.767 1.596997 1.73 0.083 -.3647472 5.898747 + house_pwt | .3351957 1.56519 0.21 0.830 -2.734177 3.404568 + house_rules | -3.545935 .9340567 -3.80 0.000 -5.377641 -1.714229 + house_sst | 4.252023 3.662536 1.16 0.246 -2.930293 11.43434 + house_smallbusi | 5.386098 3.055511 1.76 0.078 -.6058274 11.37802 + house_soc | 3.984451 6.495697 0.61 0.540 -8.753756 16.72266 + house_veterans | 4.578684 1.284524 3.56 0.000 2.059704 7.097665 + house_waysandmeans | -1.802305 .5382154 -3.35 0.001 -2.857757 -.7468526 +house_naturalresources | 1.761417 1.325233 1.33 0.184 -.8373938 4.360228 + house_bfs | -.7558864 .8572084 -0.88 0.378 -2.436891 .9251182 + house_eeo | -5.195223 1.698343 -3.06 0.002 -8.525711 -1.864735 + house_govreform | 1.002567 .8554332 1.17 0.241 -.6749565 2.68009 + house_ir | 3.367251 1.382513 2.44 0.015 .6561126 6.07839 + house_natsecur | -.7111679 1.958182 -0.36 0.717 -4.551206 3.128871 + house_oversight | .7286448 1.142742 0.64 0.524 -1.512297 2.969587 + house_resources | -5.902822 .9189173 -6.42 0.000 -7.704839 -4.100804 + house_science | 3.366186 1.587208 2.12 0.034 .2536369 6.478735 + house_transp | 2.186377 1.01933 2.14 0.032 .1874485 4.185305 + house_homeland | -1.917371 1.71903 -1.12 0.265 -5.288427 1.453684 + sponsor_democrat | 0 (omitted) + sponsor_rookie | -3.080179 .6909545 -4.46 0.000 -4.435156 -1.725202 + sponsor_tenure_run | .1659489 .092626 1.79 0.073 -.0156929 .3475906 + sponsor_age | .0234833 .0279841 0.84 0.401 -.0313943 .0783608 + leader | -1.408896 .7043904 -2.00 0.046 -2.790221 -.0275705 + ivycoll | .2360847 .8407122 0.28 0.779 -1.412571 1.88474 + black | -3.71617 3.320777 -1.12 0.263 -10.22829 2.795947 + occ0 | 4.09362 .7752917 5.28 0.000 2.573255 5.613984 + occ1 | 2.740209 1.010764 2.71 0.007 .7580789 4.72234 + occ2 | 3.093706 .6658374 4.65 0.000 1.787984 4.399428 + occ3 | -1.674247 .9204505 -1.82 0.069 -3.479271 .1307773 + occ4 | 2.123981 .6401023 3.32 0.001 .8687266 3.379236 + borninstate | .6539733 .4712265 1.39 0.165 -.2701124 1.578059 + tot_bills | -.04292 .0231261 -1.86 0.064 -.0882707 .0024307 + NE | 3.46546 .7765353 4.46 0.000 1.942657 4.988263 + MW | 1.320487 .6102333 2.16 0.031 .1238063 2.517169 + WE | -.7970698 .7438229 -1.07 0.284 -2.255723 .6615835 + pct_black | 3.725997 3.058618 1.22 0.223 -2.27202 9.724015 + pct_urban | 1.628623 1.69482 0.96 0.337 -1.694957 4.952203 + pct_for_born | 8.143363 4.750771 1.71 0.087 -1.173003 17.45973 + pct_age_over65 | 32.49849 6.062839 5.36 0.000 20.60913 44.38786 + lninc | 4.972446 1.732746 2.87 0.004 1.574492 8.3704 + lnpden | -.0194046 .2694041 -0.07 0.943 -.547712 .5089028 + _cons | -53.18362 17.10006 -3.11 0.002 -86.71722 -19.65003 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,244 1 0 1 1 +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(62,331 observations deleted) +(15 missing values generated) +(3 real changes made) +(2 real changes made) +(15 missing values generated) +(3 real changes made) +(3 real changes made) +(16 missing values generated) +(2 real changes made) +(2 real changes made) +(16 missing values generated) +(2 real changes made) +(2 real changes made) +(16 missing values generated) +(2 real changes made) +(2 real changes made) +(5 real changes made) +(5 real changes made) +(5 real changes made) +file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/Table3a_pct_cosponsors_opposite_OLS.xls saved + +. +. +. ********************************************************************************************************************************* +. +. +. use "$AnalysisData/cosponsors_analysis_101-111_replication.dta", clear +(Individual-level data set. Each observation is an individual congress member.) + +. +. gen byte tag_cosponsor=1 + +. +. gen byte cosponsor_democrat = cosponsor_party==100 if cosponsor_party~=. +(13 missing values generated) + +. +. gen byte cosponsor_region_NE = cosponsor_state_icpsr>=1 & cosponsor_state_icpsr<=14 if cosponsor_state_icpsr~=. +(5 missing values generated) + +. gen byte cosponsor_region_MW = cosponsor_state_icpsr>=21 & cosponsor_state_icpsr<=37 if cosponsor_state_icpsr~=. +(5 missing values generated) + +. gen byte cosponsor_region_SO = cosponsor_state_icpsr>=40 & cosponsor_state_icpsr<=56 if cosponsor_state_icpsr~=. +(5 missing values generated) + +. gen byte cosponsor_region_WE = cosponsor_state_icpsr>=61 & cosponsor_state_icpsr<=82 if cosponsor_state_icpsr~=. +(5 missing values generated) + +. +. replace cosponsor_age=. if cosponsor_age>100 +(1 real change made, 1 to missing) + +. gen cosponsor_rookie=(cosponsor_tenure_run==1) if cosponsor_tenure_run!=. +(5 missing values generated) + +. gen byte leader = (cosp_comc==1) | (cosp_comr==1) if cosp_comc~=. & cosp_comr~=. +(84 missing values generated) + +. +. egen tag_congressmen=tag(v2 cosponsor_state_abbrev cosponsor_district cosponsor_term_served) + +. +. gen lnpden=cosp_lnpop-cosp_lnarea +(1 missing value generated) + +. gen absMV=abs(cosp_MV1_democrat) +(416 missing values generated) + +. +. cap drop pctbills_cosponsored_opp + +. gen pctbills_cosponsored_opp=100*nbills_cosponsored_opp/(nbills_cosponsored+1) + +. replace pctbills_cosponsored_opp=. if pctbills_cosponsored_opp>100 +(0 real changes made) + +. +. gen int decade = 1980 if v2<=102 +(3,987 missing values generated) + +. replace decade=1990 if v2>=103 & v2<=107 +(2,219 real changes made) + +. replace decade=2000 if v2>=108 +(1,768 real changes made) + +. +. egen district_id = group(decade cosponsor_state_abbrev cosponsor_district) + +. +. foreach name in "democrat" "tenure_run" "age" "rookie" "region_NE" "region_MW" "region_WE" { + 2. ren cosponsor_`name' cosp_`name' + 3. } + +. foreach name in "democrat" "tenure_run" "age" "rookie" "comc" "comr" "borninstate" /* +> */ "ivycoll" "black" "occ0" "occ1" "occ2" "occ3" "occ4" /* +> */ "region_NE" "region_MW" "region_WE" "pct_b" "pct_u" "pct_f" "pct_a" "lnpop" "lninc" "lnarea" { + 2. ren cosp_`name' `name' + 3. } + +. +. local cosp_controls1 = "i.v2 " + +. local cosp_controls2 = "i.v2 house_* " + +. local cosp_controls3 = "i.v2 house_* democrat rookie tenure_run age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate " + +. local cosp_controls4 = "i.v2 house_* region_NE region_MW region_WE pct_b pct_u pct_f pct_a lninc lnpden " + +. local cosp_controls5 = "i.v2 house_* democrat rookie tenure_run age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate region_NE region_MW region_WE pct_b +> pct_u pct_f pct_a lninc lnpden " + +. +. local cosp_if1 = "if tag_cosponsor==1" + +. local cosp_if2 = "if cosponsor_party==100 & tag_cosponsor==1" + +. local cosp_if3 = "if cosponsor_party==200 & tag_cosponsor==1" + +. +. foreach depvar of varlist nbills_cosponsored pctbills_cosponsored_opp { + 2. forvalues j=1/5 { + 3. forvalues k = 1/3 { + 4. if `j'==1 { + 5. di "reg `depvar' cosponsor_female `cosp_controls`j'' `cosp_if`k'', robust cluster(cosponsor_v1_fix)" + 6. reg `depvar' cosponsor_female `cosp_controls`j'' `cosp_if`k'', robust cluster(cosponsor_v1_fix) + 7. } + 8. else if `j'==2 { + 9. di "reg `depvar' cosponsor_female `cosp_controls`j'' `cosp_if`k'', robust cluster(cosponsor_v1_fix)" + 10. reg `depvar' cosponsor_female `cosp_controls`j'' `cosp_if`k'', robust cluster(cosponsor_v1_fix) + 11. } + 12. else if `j'==3 { + 13. di "reg `depvar' cosponsor_female `cosp_controls`j'' `cosp_if`k'', robust cluster(cosponsor_v1_fix)" + 14. reg `depvar' cosponsor_female `cosp_controls`j'' `cosp_if`k'', robust cluster(cosponsor_v1_fix) + 15. } + 16. else if `j'==4 { + 17. di "reg `depvar' cosponsor_female `cosp_controls`j'' `cosp_if`k'', robust cluster(cosponsor_v1_fix)" + 18. reg `depvar' cosponsor_female `cosp_controls`j'' `cosp_if`k'', robust cluster(cosponsor_v1_fix) + 19. } + 20. else if `j'==5 { + 21. di "reg `depvar' cosponsor_female `cosp_controls`j'' `cosp_if`k'', robust cluster(cosponsor_v1_fix)" + 22. reg `depvar' cosponsor_female `cosp_controls`j'' `cosp_if`k'', robust cluster(cosponsor_v1_fix) + 23. } + 24. scalar b_col`j'_row`k' = _b[cosponsor_female] + 25. scalar se_col`j'_row`k' = _se[cosponsor_female] + 26. scalar n_col`j'_row`k' = e(N) + 27. sum tag_congressmen if tag_congressmen==1 & e(sample) + 28. scalar ni_col`j'_row`k' = e(N_clust) + 29. scalar ob_col`j'_row`k' = . + 30. +. } + 31. } + 32. +. preserve + 33. +. * Display results +. +. forvalues i = 1/5 { + 34. gen var`i' =. + 35. } + 36. gen str20 var6 = "" + 37. +. forvalues j=1/5 { + 38. forvalues k = 1/3 { + 39. replace var`j' = b_col`j'_row`k' if _n==6*(`k'-1)+1 + 40. replace var`j' = se_col`j'_row`k' if _n==6*(`k'-1)+2 + 41. replace var`j' = n_col`j'_row`k' if _n==6*(`k'-1)+3 + 42. replace var`j' = ni_col`j'_row`k' if _n==6*(`k'-1)+4 + 43. replace var`j' = ob_col`j'_row`k' if _n==6*(`k'-1)+5 + 44. } + 45. } + 46. +. keep var1-var6 + 47. keep if _n<=18 + 48. +. order var6 var1-var5 + 49. +. ren var6 sampletype + 50. ren var1 OLS_bas + 51. ren var2 OLS_maj + 52. ren var3 OLS_ind + 53. ren var4 OLS_dis + 54. ren var5 OLS_all + 55. +. foreach var of varlist OLS_bas OLS_maj OLS_ind OLS_dis OLS_all { + 56. gen str3 `var'_stars ="*" if abs(`var'/`var'[_n+1])>=1.645 & mod(_n,6)==1 + 57. replace `var'_stars ="**" if abs(`var'/`var'[_n+1])>=1.96 & mod(_n,6)==1 + 58. replace `var'_stars="***" if abs(`var'/`var'[_n+1])>=2.58 & mod(_n,6)==1 + 59. } + 60. +. replace sampletype = "All" if _n>=1 & _n<=5 + 61. replace sampletype = "Democrats" if _n>=7 & _n<=11 + 62. replace sampletype = "Republicans" if _n>=13 & _n<=17 + 63. +. order sampletype OLS_bas* OLS_maj* OLS_ind* OLS_dis* OLS_all* + 64. export excel using "$Output/Table3b_`depvar'_OLS.xlsx", firstrow(var) replace + 65. restore + 66. +. +. } +reg nbills_cosponsored cosponsor_female i.v2 if tag_cosponsor==1, robust cluster(cosponsor_v1_fix) + +Linear regression Number of obs = 4,862 + F(11, 1099) = 63.50 + Prob > F = 0.0000 + R-squared = 0.1118 + Root MSE = 107.99 + + (Std. Err. adjusted for 1,100 clusters in cosponsor_v1_fix) +---------------------------------------------------------------------------------- + | Robust +nbills_cospons~d | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------+---------------------------------------------------------------- +cosponsor_female | 51.46664 9.823336 5.24 0.000 32.19203 70.74126 + | + v2 | + 102 | -2.950804 4.216085 -0.70 0.484 -11.22329 5.321682 + 103 | -48.25842 5.412693 -8.92 0.000 -58.8788 -37.63804 + 104 | -73.15667 5.688959 -12.86 0.000 -84.31912 -61.99422 + 105 | -29.42609 5.870626 -5.01 0.000 -40.94499 -17.90719 + 106 | 19.29587 6.381011 3.02 0.003 6.775527 31.81621 + 107 | 13.79311 7.154175 1.93 0.054 -.2442723 27.8305 + 108 | 11.74701 7.141752 1.64 0.100 -2.265999 25.76002 + 109 | 12.70466 7.208323 1.76 0.078 -1.438972 26.84829 + 110 | 51.29127 8.01163 6.40 0.000 35.57145 67.01109 + 111 | 18.24423 7.336204 2.49 0.013 3.849681 32.63878 + | + _cons | 208.6536 5.67162 36.79 0.000 197.5252 219.782 +---------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,862 1 0 1 1 +reg nbills_cosponsored cosponsor_female i.v2 if cosponsor_party==100 & tag_cosponsor==1, robust cluster(cosponsor_v1_fix) + +Linear regression Number of obs = 2,554 + F(11, 587) = 69.06 + Prob > F = 0.0000 + R-squared = 0.2024 + Root MSE = 117.35 + + (Std. Err. adjusted for 588 clusters in cosponsor_v1_fix) +---------------------------------------------------------------------------------- + | Robust +nbills_cospons~d | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------+---------------------------------------------------------------- +cosponsor_female | 42.47408 11.68807 3.63 0.000 19.51855 65.42961 + | + v2 | + 102 | -14.62039 5.795943 -2.52 0.012 -26.0037 -3.23708 + 103 | -72.43673 7.491236 -9.67 0.000 -87.14962 -57.72384 + 104 | -94.45384 8.230649 -11.48 0.000 -110.6189 -78.28873 + 105 | -22.8706 8.996305 -2.54 0.011 -40.53947 -5.201738 + 106 | 49.18795 9.506077 5.17 0.000 30.51789 67.85802 + 107 | 62.86075 10.83414 5.80 0.000 41.58235 84.13915 + 108 | 62.94559 10.97617 5.73 0.000 41.38824 84.50294 + 109 | 59.99632 10.94011 5.48 0.000 38.50981 81.48284 + 110 | 84.89115 11.96606 7.09 0.000 61.38964 108.3927 + 111 | 28.74188 10.79197 2.66 0.008 7.546311 49.93745 + | + _cons | 228.0833 8.28537 27.53 0.000 211.8107 244.3559 +---------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,554 1 0 1 1 +reg nbills_cosponsored cosponsor_female i.v2 if cosponsor_party==200 & tag_cosponsor==1, robust cluster(cosponsor_v1_fix) + +Linear regression Number of obs = 2,299 + F(11, 522) = 19.67 + Prob > F = 0.0000 + R-squared = 0.0626 + Root MSE = 73.632 + + (Std. Err. adjusted for 523 clusters in cosponsor_v1_fix) +---------------------------------------------------------------------------------- + | Robust +nbills_cospons~d | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------+---------------------------------------------------------------- +cosponsor_female | 22.06661 10.05666 2.19 0.029 2.31011 41.8231 + | + v2 | + 102 | 12.5686 5.885171 2.14 0.033 1.007076 24.13013 + 103 | -12.42741 6.618949 -1.88 0.061 -25.43046 .5756428 + 104 | -42.28731 6.697276 -6.31 0.000 -55.44424 -29.13038 + 105 | -23.70933 6.911638 -3.43 0.001 -37.28737 -10.13128 + 106 | 1.294597 7.162155 0.18 0.857 -12.77559 15.36479 + 107 | -22.02282 7.337361 -3.00 0.003 -36.4372 -7.60843 + 108 | -22.5718 7.195467 -3.14 0.002 -36.70743 -8.436171 + 109 | -14.14903 7.674614 -1.84 0.066 -29.22595 .9278942 + 110 | 20.65842 8.286974 2.49 0.013 4.378504 36.93834 + 111 | 6.772826 7.864621 0.86 0.390 -8.677372 22.22302 + | + _cons | 182.5396 6.268056 29.12 0.000 170.2259 194.8533 +---------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,299 1 0 1 1 +reg nbills_cosponsored cosponsor_female i.v2 house_* if tag_cosponsor==1, robust cluster(cosponsor_v1_fix) + +Linear regression Number of obs = 4,850 + F(44, 1096) = 29.13 + Prob > F = 0.0000 + R-squared = 0.3529 + Root MSE = 92.211 + + (Std. Err. adjusted for 1,097 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust + nbills_cosponsored | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | 21.40509 8.25082 2.59 0.010 5.215905 37.59428 + | + v2 | + 102 | -46.71498 8.686519 -5.38 0.000 -63.75906 -29.67089 + 103 | -38.13949 15.81059 -2.41 0.016 -69.16194 -7.117051 + 104 | 19.67091 30.10494 0.65 0.514 -39.39892 78.74073 + 105 | -16.20666 33.70966 -0.48 0.631 -82.34942 49.9361 + 106 | 4.618927 31.54567 0.15 0.884 -57.27781 66.51566 + 107 | -1.595005 32.24463 -0.05 0.961 -64.86319 61.67318 + 108 | 27.82066 30.19133 0.92 0.357 -31.41867 87.06 + 109 | 10.25633 31.07152 0.33 0.741 -50.71007 71.22273 + 110 | 79.10147 29.42798 2.69 0.007 21.35993 136.843 + 111 | 72.91328 28.78683 2.53 0.011 16.42976 129.3968 + | + house_administration_m | -123.8999 93.31726 -1.33 0.185 -307.0006 59.20074 + house_agriculture_m | -42.11936 75.93576 -0.55 0.579 -191.1153 106.8765 + house_appropriations_m | 217.3328 57.22457 3.80 0.000 105.0507 329.6149 + house_armedservices_m | -171.3824 136.4694 -1.26 0.209 -439.1533 96.38849 + house_budget_m | -438.5907 117.8926 -3.72 0.000 -669.9115 -207.27 + house_dc_m | 733.0624 718.2818 1.02 0.308 -676.3004 2142.425 + house_educlabor_m | 410.5727 93.8158 4.38 0.000 226.4938 594.6515 + house_energycommerce_m | 220.5468 53.93984 4.09 0.000 114.7098 326.3838 + house_foreignaffairs_m | 720.4204 114.064 6.32 0.000 496.6119 944.229 + house_governmentop_m | 568.7991 120.2918 4.73 0.000 332.7708 804.8275 + house_intelligence_m | -472.6031 316.85 -1.49 0.136 -1094.304 149.0981 + house_interior_m | -217.6189 130.5277 -1.67 0.096 -473.7313 38.49342 + house_judiciary_m | -81.57694 82.49146 -0.99 0.323 -243.436 80.28209 + house_mmf_m | 217.2128 92.48633 2.35 0.019 35.74252 398.6831 + house_pocs_m | -459.1168 115.9686 -3.96 0.000 -686.6623 -231.5714 + house_pwt_m | -315.2331 70.69102 -4.46 0.000 -453.9382 -176.5281 + house_rules_m | -399.6465 122.0268 -3.28 0.001 -639.0791 -160.2139 + house_sst_m | -334.7256 176.8418 -1.89 0.059 -681.7123 12.26118 + house_smallbusi_m | 1124.501 301.9085 3.72 0.000 532.1169 1716.885 + house_soc_m | -443.7807 772.8606 -0.57 0.566 -1960.234 1072.673 + house_veterans_m | 229.8293 90.70262 2.53 0.011 51.85885 407.7997 + house_waysandmeans_m | -154.7252 57.26657 -2.70 0.007 -267.0897 -42.3607 +house_naturalresources_m | -479.7635 181.8964 -2.64 0.008 -836.668 -122.859 + house_bfs_m | -740.6054 56.14095 -13.19 0.000 -850.7613 -630.4496 + house_eeo_m | 67.89341 69.21862 0.98 0.327 -67.92258 203.7094 + house_govreform_m | 35.61898 76.20824 0.47 0.640 -113.9116 185.1495 + house_ir_m | 371.6122 154.1994 2.41 0.016 69.05289 674.1716 + house_natsecur_m | -352.7015 99.9545 -3.53 0.000 -548.8253 -156.5777 + house_oversight_m | -368.7956 86.4865 -4.26 0.000 -538.4934 -199.0977 + house_resources_m | -112.4973 73.18888 -1.54 0.125 -256.1035 31.10883 + house_science_m | 264.1524 138.158 1.91 0.056 -6.931744 535.2366 + house_transp_m | -416.221 81.41563 -5.11 0.000 -575.9691 -256.4729 + house_homeland_m | 31.58827 165.7555 0.19 0.849 -293.6458 356.8223 + _cons | 267.9419 51.70419 5.18 0.000 166.4915 369.3923 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,850 1 0 1 1 +reg nbills_cosponsored cosponsor_female i.v2 house_* if cosponsor_party==100 & tag_cosponsor==1, robust cluster(cosponsor_v1_fix) + +Linear regression Number of obs = 2,547 + F(44, 586) = 28.24 + Prob > F = 0.0000 + R-squared = 0.4086 + Root MSE = 101.35 + + (Std. Err. adjusted for 587 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust + nbills_cosponsored | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | 21.88188 10.11179 2.16 0.031 2.022125 41.74164 + | + v2 | + 102 | -40.49612 12.14041 -3.34 0.001 -64.34012 -16.65211 + 103 | -1.575773 23.74843 -0.07 0.947 -48.21817 45.06662 + 104 | 40.51409 38.77171 1.04 0.296 -35.63435 116.6625 + 105 | 25.53884 40.32387 0.63 0.527 -53.65806 104.7357 + 106 | 68.187 38.09548 1.79 0.074 -6.633315 143.0073 + 107 | 80.35212 39.24759 2.05 0.041 3.269052 157.4352 + 108 | 112.3981 37.07604 3.03 0.003 39.58004 185.2162 + 109 | 119.5424 39.94673 2.99 0.003 41.08619 197.9986 + 110 | 192.4548 37.49886 5.13 0.000 118.8063 266.1034 + 111 | 173.7674 37.85108 4.59 0.000 99.42712 248.1077 + | + house_administration_m | -525.3409 138.0087 -3.81 0.000 -796.3927 -254.289 + house_agriculture_m | -188.0222 120.0353 -1.57 0.118 -423.7739 47.72953 + house_appropriations_m | 277.7312 185.7839 1.49 0.135 -87.15218 642.6146 + house_armedservices_m | -440.851 136.5274 -3.23 0.001 -708.9936 -172.7083 + house_budget_m | -789.3042 206.7393 -3.82 0.000 -1195.344 -383.2641 + house_dc_m | -603.6062 1042.812 -0.58 0.563 -2651.709 1444.497 + house_educlabor_m | 300.8214 113.53 2.65 0.008 77.8461 523.7967 + house_energycommerce_m | 233.9012 71.5317 3.27 0.001 93.41148 374.3909 + house_foreignaffairs_m | 688.5897 139.2953 4.94 0.000 415.011 962.1685 + house_governmentop_m | 697.7403 166.7614 4.18 0.000 370.2176 1025.263 + house_intelligence_m | -1379.256 461.1675 -2.99 0.003 -2284.998 -473.5135 + house_interior_m | -55.80349 201.1178 -0.28 0.782 -450.8029 339.1959 + house_judiciary_m | 259.2719 80.28485 3.23 0.001 101.5909 416.953 + house_mmf_m | 213.0013 134.0518 1.59 0.113 -50.27914 476.2818 + house_pocs_m | -145.6501 163.0017 -0.89 0.372 -465.7889 174.4886 + house_pwt_m | -350.6609 92.30133 -3.80 0.000 -531.9426 -169.3792 + house_rules_m | -933.5995 178.2354 -5.24 0.000 -1283.658 -583.5415 + house_sst_m | -47.71076 253.7585 -0.19 0.851 -546.0976 450.6761 + house_smallbusi_m | 858.0867 371.3119 2.31 0.021 128.8225 1587.351 + house_soc_m | -2227.373 845.4681 -2.63 0.009 -3887.889 -566.8561 + house_veterans_m | 152.0408 97.01865 1.57 0.118 -38.50586 342.5874 + house_waysandmeans_m | -165.2764 56.36927 -2.93 0.003 -275.9868 -54.56601 +house_naturalresources_m | -835.7148 245.6896 -3.40 0.001 -1318.254 -353.1753 + house_bfs_m | -901.6619 84.65151 -10.65 0.000 -1067.919 -735.4047 + house_eeo_m | -24.10187 140.8462 -0.17 0.864 -300.7267 252.5229 + house_govreform_m | 89.23642 134.0304 0.67 0.506 -174.002 352.4748 + house_ir_m | 329.0303 151.0394 2.18 0.030 32.38594 625.6747 + house_natsecur_m | -524.9797 152.1008 -3.45 0.001 -823.7087 -226.2507 + house_oversight_m | -617.48 130.7252 -4.72 0.000 -874.227 -360.7331 + house_resources_m | -345.94 150.1037 -2.30 0.022 -640.7468 -51.1333 + house_science_m | 119.1651 211.9971 0.56 0.574 -297.2016 535.5317 + house_transp_m | -389.0868 127.6309 -3.05 0.002 -639.7564 -138.4171 + house_homeland_m | -183.062 298.2725 -0.61 0.540 -768.8754 402.7513 + _cons | 272.5633 55.45485 4.92 0.000 163.6488 381.4778 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,547 1 0 1 1 +reg nbills_cosponsored cosponsor_female i.v2 house_* if cosponsor_party==200 & tag_cosponsor==1, robust cluster(cosponsor_v1_fix) + +Linear regression Number of obs = 2,294 + F(44, 520) = 15.17 + Prob > F = 0.0000 + R-squared = 0.2633 + Root MSE = 65.444 + + (Std. Err. adjusted for 521 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust + nbills_cosponsored | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | 12.38935 9.06329 1.37 0.172 -5.415812 30.19452 + | + v2 | + 102 | -10.21999 9.022682 -1.13 0.258 -27.94537 7.505402 + 103 | 13.59345 14.03122 0.97 0.333 -13.97139 41.15829 + 104 | 58.41852 32.96283 1.77 0.077 -6.338161 123.1752 + 105 | 27.33889 29.85947 0.92 0.360 -31.32114 85.99891 + 106 | 9.557217 27.30128 0.35 0.726 -44.07714 63.19157 + 107 | -16.01001 27.29515 -0.59 0.558 -69.63233 37.61231 + 108 | 14.79477 26.59707 0.56 0.578 -37.45614 67.04567 + 109 | 19.02831 28.14199 0.68 0.499 -36.25767 74.31428 + 110 | 56.0379 29.80049 1.88 0.061 -2.506243 114.582 + 111 | 50.18656 29.40599 1.71 0.088 -7.582584 107.9557 + | + house_administration_m | 16.84765 115.186 0.15 0.884 -209.4395 243.1348 + house_agriculture_m | -183.8497 71.46466 -2.57 0.010 -324.2446 -43.45478 + house_appropriations_m | 89.98555 50.42283 1.78 0.075 -9.071946 189.0431 + house_armedservices_m | 89.58271 96.2535 0.93 0.352 -99.5108 278.6762 + house_budget_m | -351.9779 97.91997 -3.59 0.000 -544.3452 -159.6105 + house_dc_m | 1327.026 707.4566 1.88 0.061 -62.7981 2716.851 + house_educlabor_m | 81.96112 61.19205 1.34 0.181 -38.25288 202.1751 + house_energycommerce_m | -44.39184 36.32674 -1.22 0.222 -115.757 26.97336 + house_foreignaffairs_m | 623.6281 134.5021 4.64 0.000 359.3939 887.8624 + house_governmentop_m | -76.62682 131.6975 -0.58 0.561 -335.3514 182.0977 + house_intelligence_m | -1420.203 274.986 -5.16 0.000 -1960.422 -879.9826 + house_interior_m | -295.8636 140.8261 -2.10 0.036 -572.5215 -19.20564 + house_judiciary_m | -182.9181 42.67328 -4.29 0.000 -266.7513 -99.08493 + house_mmf_m | -75.64484 96.55034 -0.78 0.434 -265.3215 114.0318 + house_pocs_m | 53.0723 158.4704 0.33 0.738 -258.2487 364.3933 + house_pwt_m | -177.0574 101.0537 -1.75 0.080 -375.5811 21.46621 + house_rules_m | -111.3177 103.5635 -1.07 0.283 -314.772 92.1366 + house_sst_m | -160.3944 202.0095 -0.79 0.428 -557.2495 236.4607 + house_smallbusi_m | 1001.324 278.6283 3.59 0.000 453.9484 1548.699 + house_soc_m | -1053.077 621.3502 -1.69 0.091 -2273.742 167.588 + house_veterans_m | 85.38223 94.55133 0.90 0.367 -100.3673 271.1318 + house_waysandmeans_m | -55.68143 40.80205 -1.36 0.173 -135.8385 24.47569 +house_naturalresources_m | -175.2188 110.4688 -1.59 0.113 -392.2388 41.80121 + house_bfs_m | -646.3915 54.19307 -11.93 0.000 -752.8558 -539.9273 + house_eeo_m | -52.53984 72.89082 -0.72 0.471 -195.7365 90.65683 + house_govreform_m | -167.0143 58.68583 -2.85 0.005 -282.3047 -51.72383 + house_ir_m | 349.9726 90.63141 3.86 0.000 171.9239 528.0213 + house_natsecur_m | -194.2109 102.1478 -1.90 0.058 -394.884 6.462202 + house_oversight_m | -121.9551 77.29202 -1.58 0.115 -273.7981 29.88786 + house_resources_m | -138.5904 55.65274 -2.49 0.013 -247.9222 -29.25855 + house_science_m | 195.2426 149.9081 1.30 0.193 -99.25747 489.7426 + house_transp_m | -308.0058 73.57529 -4.19 0.000 -452.5471 -163.4645 + house_homeland_m | 251.4732 186.2372 1.35 0.178 -114.3966 617.3431 + _cons | 303.757 34.62437 8.77 0.000 235.7362 371.7779 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,294 1 0 1 1 +reg nbills_cosponsored cosponsor_female i.v2 house_* democrat rookie tenure_run age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate if tag_cosponsor==1, +> robust cluster(cosponsor_v1_fix) + +Linear regression Number of obs = 4,747 + F(57, 1080) = 27.57 + Prob > F = 0.0000 + R-squared = 0.4100 + Root MSE = 87.92 + + (Std. Err. adjusted for 1,081 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust + nbills_cosponsored | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | 11.36021 8.212959 1.38 0.167 -4.754957 27.47537 + | + v2 | + 102 | -49.80088 7.737056 -6.44 0.000 -64.98224 -34.61951 + 103 | -47.75153 12.80653 -3.73 0.000 -72.88002 -22.62304 + 104 | -1.289497 25.06904 -0.05 0.959 -50.47903 47.90004 + 105 | -30.23243 26.41064 -1.14 0.253 -82.05441 21.58954 + 106 | -16.07082 24.57408 -0.65 0.513 -64.28916 32.14752 + 107 | -22.29228 24.8213 -0.90 0.369 -70.99571 26.41115 + 108 | 16.33277 24.0421 0.68 0.497 -30.84175 63.50728 + 109 | -.0377528 24.66547 -0.00 0.999 -48.43543 48.35992 + 110 | 62.62977 25.18197 2.49 0.013 13.21865 112.0409 + 111 | 58.48312 24.95654 2.34 0.019 9.514321 107.4519 + | + house_administration_m | -133.3122 86.5075 -1.54 0.124 -303.054 36.42965 + house_agriculture_m | -114.9014 66.83792 -1.72 0.086 -246.0483 16.24549 + house_appropriations_m | 290.325 47.04213 6.17 0.000 198.0206 382.6293 + house_armedservices_m | -3.07577 78.62015 -0.04 0.969 -157.3413 151.1898 + house_budget_m | -257.1858 101.7088 -2.53 0.012 -456.755 -57.61665 + house_dc_m | 47.20569 636.5972 0.07 0.941 -1201.902 1296.313 + house_educlabor_m | 332.7463 78.66757 4.23 0.000 178.3877 487.1049 + house_energycommerce_m | 181.1712 39.67382 4.57 0.000 103.3247 259.0178 + house_foreignaffairs_m | 719.5831 88.35007 8.14 0.000 546.2259 892.9403 + house_governmentop_m | 651.4933 110.0443 5.92 0.000 435.5685 867.4181 + house_intelligence_m | -975.5006 263.8716 -3.70 0.000 -1493.26 -457.7415 + house_interior_m | -207.2487 120.1282 -1.73 0.085 -442.9597 28.46237 + house_judiciary_m | 69.45932 42.7295 1.63 0.104 -14.38292 153.3016 + house_mmf_m | 220.978 86.3138 2.56 0.011 51.61624 390.3397 + house_pocs_m | -456.1787 109.4379 -4.17 0.000 -670.9137 -241.4438 + house_pwt_m | -354.8594 107.6307 -3.30 0.001 -566.0484 -143.6704 + house_rules_m | -364.8854 110.8918 -3.29 0.001 -582.4731 -147.2976 + house_sst_m | -255.076 172.8573 -1.48 0.140 -594.2503 84.09824 + house_smallbusi_m | 924.0615 279.8032 3.30 0.001 375.0421 1473.081 + house_soc_m | -765.2153 628.7425 -1.22 0.224 -1998.91 468.4798 + house_veterans_m | 215.7332 76.6162 2.82 0.005 65.39971 366.0666 + house_waysandmeans_m | -53.46593 33.08165 -1.62 0.106 -118.3775 11.44567 +house_naturalresources_m | -338.9376 98.92018 -3.43 0.001 -533.0351 -144.8401 + house_bfs_m | -827.4636 53.29602 -15.53 0.000 -932.0391 -722.8881 + house_eeo_m | 28.77115 68.56124 0.42 0.675 -105.7572 163.2995 + house_govreform_m | 33.77374 59.86337 0.56 0.573 -83.68795 151.2354 + house_ir_m | 615.3526 84.90114 7.25 0.000 448.7627 781.9424 + house_natsecur_m | -298.0371 85.08604 -3.50 0.000 -464.9897 -131.0844 + house_oversight_m | -335.3659 86.20802 -3.89 0.000 -504.5201 -166.2117 + house_resources_m | -118.9278 60.6507 -1.96 0.050 -237.9343 .0787967 + house_science_m | 262.1508 136.2531 1.92 0.055 -5.199924 529.5016 + house_transp_m | -418.0344 73.11969 -5.72 0.000 -561.5071 -274.5617 + house_homeland_m | -91.67582 150.4007 -0.61 0.542 -386.7864 203.4348 + democrat | 34.77773 6.575541 5.29 0.000 21.87545 47.68002 + rookie | -27.73628 4.462356 -6.22 0.000 -36.49215 -18.98041 + tenure_run | -2.592128 1.003745 -2.58 0.010 -4.561639 -.6226162 + age | .5730666 .2791509 2.05 0.040 .0253271 1.120806 + leader | -2.903316 7.841262 -0.37 0.711 -18.28915 12.48252 + ivycoll | 4.12289 11.84157 0.35 0.728 -19.1122 27.35798 + black | 42.37748 11.68702 3.63 0.000 19.44564 65.30932 + occ0 | .8368747 9.756266 0.09 0.932 -18.30651 19.98026 + occ1 | -1.701818 10.97344 -0.16 0.877 -23.2335 19.82987 + occ2 | -17.22717 8.632802 -2.00 0.046 -34.16614 -.2882073 + occ3 | -10.39319 11.14661 -0.93 0.351 -32.26466 11.47827 + occ4 | -8.04478 8.392928 -0.96 0.338 -24.51307 8.423513 + borninstate | -7.849126 5.810985 -1.35 0.177 -19.25123 3.552973 + _cons | 219.2371 39.291 5.58 0.000 142.1418 296.3325 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,747 1 0 1 1 +reg nbills_cosponsored cosponsor_female i.v2 house_* democrat rookie tenure_run age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate if cosponsor_party==1 +> 00 & tag_cosponsor==1, robust cluster(cosponsor_v1_fix) +note: democrat omitted because of collinearity + +Linear regression Number of obs = 2,495 + F(56, 581) = 25.87 + Prob > F = 0.0000 + R-squared = 0.4444 + Root MSE = 98.077 + + (Std. Err. adjusted for 582 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust + nbills_cosponsored | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | 10.92591 10.4448 1.05 0.296 -9.588266 31.44008 + | + v2 | + 102 | -41.42284 11.47644 -3.61 0.000 -63.96321 -18.88248 + 103 | -15.25358 19.80832 -0.77 0.442 -54.15821 23.65105 + 104 | 66.64407 38.20885 1.74 0.082 -8.40022 141.6884 + 105 | 37.04897 39.1723 0.95 0.345 -39.8876 113.9855 + 106 | 57.02284 36.44516 1.56 0.118 -14.55747 128.6032 + 107 | 73.64514 37.43069 1.97 0.050 .1291893 147.1611 + 108 | 108.1522 34.75256 3.11 0.002 39.89622 176.4081 + 109 | 105.9094 36.94849 2.87 0.004 33.34057 178.4783 + 110 | 167.8189 35.77555 4.69 0.000 97.55371 238.0841 + 111 | 156.1603 36.20523 4.31 0.000 85.05125 227.2694 + | + house_administration_m | -407.4721 138.1508 -2.95 0.003 -678.808 -136.1362 + house_agriculture_m | -297.0376 109.2481 -2.72 0.007 -511.6069 -82.46829 + house_appropriations_m | 185.3852 204.5459 0.91 0.365 -216.3543 587.1248 + house_armedservices_m | -143.968 129.8747 -1.11 0.268 -399.0491 111.1131 + house_budget_m | -862.8108 195.6718 -4.41 0.000 -1247.121 -478.5005 + house_dc_m | -1252.828 867.9551 -1.44 0.149 -2957.54 451.8836 + house_educlabor_m | 229.2413 110.6285 2.07 0.039 11.96075 446.5219 + house_energycommerce_m | 160.241 66.6776 2.40 0.017 29.28251 291.1995 + house_foreignaffairs_m | 735.0251 122.5856 6.00 0.000 494.2602 975.79 + house_governmentop_m | 759.2417 163.7262 4.64 0.000 437.6744 1080.809 + house_intelligence_m | -1743.776 425.1727 -4.10 0.000 -2578.839 -908.7136 + house_interior_m | -26.57396 182.5839 -0.15 0.884 -385.1788 332.0309 + house_judiciary_m | 172.342 73.16156 2.36 0.019 28.64863 316.0354 + house_mmf_m | 180.9762 130.6996 1.38 0.167 -75.72514 437.6776 + house_pocs_m | -231.594 159.852 -1.45 0.148 -545.5522 82.36424 + house_pwt_m | -487.1308 148.5413 -3.28 0.001 -778.8741 -195.3875 + house_rules_m | -872.3851 167.58 -5.21 0.000 -1201.522 -543.2487 + house_sst_m | 178.8102 253.6644 0.70 0.481 -319.4009 677.0212 + house_smallbusi_m | 816.4873 356.0994 2.29 0.022 117.0883 1515.886 + house_soc_m | -1796.613 895.3803 -2.01 0.045 -3555.19 -38.03669 + house_veterans_m | 100.1937 99.69293 1.01 0.315 -95.60877 295.9961 + house_waysandmeans_m | -142.0924 52.058 -2.73 0.007 -244.3372 -39.84764 +house_naturalresources_m | -442.3937 156.6325 -2.82 0.005 -750.0285 -134.7588 + house_bfs_m | -1012.658 83.98453 -12.06 0.000 -1177.608 -847.7074 + house_eeo_m | -303.5265 125.1234 -2.43 0.016 -549.2759 -57.77713 + house_govreform_m | 3.871063 129.5499 0.03 0.976 -250.5721 258.3142 + house_ir_m | 716.3929 142.7613 5.02 0.000 436.0018 996.7841 + house_natsecur_m | -435.5582 131.9301 -3.30 0.001 -694.6762 -176.4402 + house_oversight_m | -590.0431 136.3968 -4.33 0.000 -857.9339 -322.1523 + house_resources_m | -396.0062 160.3743 -2.47 0.014 -710.9903 -81.02212 + house_science_m | 26.12015 207.3632 0.13 0.900 -381.1527 433.393 + house_transp_m | -466.4205 123.7583 -3.77 0.000 -709.4886 -223.3524 + house_homeland_m | -325.9127 297.5776 -1.10 0.274 -910.3716 258.5461 + democrat | 0 (omitted) + rookie | -35.8007 7.423934 -4.82 0.000 -50.38172 -21.21968 + tenure_run | -2.604713 1.580051 -1.65 0.100 -5.70802 .498594 + age | .5109816 .4411233 1.16 0.247 -.355409 1.377372 + leader | 4.102456 13.37257 0.31 0.759 -22.16201 30.36692 + ivycoll | -9.541758 15.40856 -0.62 0.536 -39.80502 20.72151 + black | 36.59786 12.31907 2.97 0.003 12.40252 60.79319 + occ0 | -4.201826 14.38463 -0.29 0.770 -32.45404 24.05038 + occ1 | -3.817097 16.22152 -0.24 0.814 -35.67705 28.04286 + occ2 | -28.81022 13.40896 -2.15 0.032 -55.14617 -2.474282 + occ3 | -19.60312 17.2036 -1.14 0.255 -53.39195 14.1857 + occ4 | -16.2247 15.21045 -1.07 0.287 -46.09887 13.64948 + borninstate | -10.21716 9.720689 -1.05 0.294 -29.30913 8.874817 + _cons | 322.5557 55.92724 5.77 0.000 212.7115 432.3999 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,495 1 0 1 1 +reg nbills_cosponsored cosponsor_female i.v2 house_* democrat rookie tenure_run age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate if cosponsor_party==2 +> 00 & tag_cosponsor==1, robust cluster(cosponsor_v1_fix) +note: democrat omitted because of collinearity + +Linear regression Number of obs = 2,243 + F(56, 509) = 14.28 + Prob > F = 0.0000 + R-squared = 0.3028 + Root MSE = 62.994 + + (Std. Err. adjusted for 510 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust + nbills_cosponsored | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | 8.684353 9.133665 0.95 0.342 -9.259969 26.62868 + | + v2 | + 102 | -12.89884 8.63233 -1.49 0.136 -29.85822 4.060545 + 103 | 15.2416 13.63488 1.12 0.264 -11.54597 42.02918 + 104 | 36.73522 31.51024 1.17 0.244 -25.17091 98.64135 + 105 | .420699 28.71095 0.01 0.988 -55.98585 56.82725 + 106 | -6.84993 26.25092 -0.26 0.794 -58.42343 44.72357 + 107 | -35.38202 26.14127 -1.35 0.176 -86.7401 15.97605 + 108 | -.8546272 25.67556 -0.03 0.973 -51.29774 49.58848 + 109 | 1.664589 27.27116 0.06 0.951 -51.91331 55.24249 + 110 | 43.90883 28.77961 1.53 0.128 -12.63262 100.4503 + 111 | 41.31239 27.99935 1.48 0.141 -13.69614 96.32092 + | + house_administration_m | -101.7976 106.8507 -0.95 0.341 -311.7202 108.125 + house_agriculture_m | -189.5718 70.55978 -2.69 0.007 -328.196 -50.94751 + house_appropriations_m | 143.4046 49.94908 2.87 0.004 45.27287 241.5364 + house_armedservices_m | 40.10847 90.08689 0.45 0.656 -136.8794 217.0964 + house_budget_m | -345.6237 94.9009 -3.64 0.000 -532.0694 -159.178 + house_dc_m | 1314.478 699.9335 1.88 0.061 -60.6364 2689.592 + house_educlabor_m | 132.8346 62.13458 2.14 0.033 10.7628 254.9064 + house_energycommerce_m | 9.659284 38.52007 0.25 0.802 -66.01862 85.33719 + house_foreignaffairs_m | 621.0203 129.9935 4.78 0.000 365.6305 876.4102 + house_governmentop_m | -32.20713 126.6594 -0.25 0.799 -281.0467 216.6324 + house_intelligence_m | -1378.563 271.5492 -5.08 0.000 -1912.058 -845.0679 + house_interior_m | -254.2195 151.819 -1.67 0.095 -552.4885 44.04939 + house_judiciary_m | -100.4157 40.0857 -2.51 0.013 -179.1695 -21.66189 + house_mmf_m | -18.17257 94.91054 -0.19 0.848 -204.6372 168.2921 + house_pocs_m | 45.19734 143.9054 0.31 0.754 -237.5243 327.919 + house_pwt_m | -192.6052 96.25801 -2.00 0.046 -381.7171 -3.493327 + house_rules_m | -189.2019 102.9502 -1.84 0.067 -391.4616 13.05776 + house_sst_m | -215.3974 201.2491 -1.07 0.285 -610.7785 179.9836 + house_smallbusi_m | 887.1582 278.7894 3.18 0.002 339.4387 1434.878 + house_soc_m | -880.9216 621.9717 -1.42 0.157 -2102.869 341.0262 + house_veterans_m | 197.8631 89.68054 2.21 0.028 21.67349 374.0526 + house_waysandmeans_m | 15.03552 36.44369 0.41 0.680 -56.56304 86.63409 +house_naturalresources_m | -168.5444 115.2261 -1.46 0.144 -394.9217 57.83293 + house_bfs_m | -610.3784 55.26581 -11.04 0.000 -718.9556 -501.8012 + house_eeo_m | -35.53474 65.73557 -0.54 0.589 -164.6812 93.6117 + house_govreform_m | -101.4545 58.72464 -1.73 0.085 -216.827 13.91801 + house_ir_m | 391.7414 87.77826 4.46 0.000 219.2891 564.1937 + house_natsecur_m | -160.0233 95.4154 -1.68 0.094 -347.4797 27.43322 + house_oversight_m | -143.402 74.87981 -1.92 0.056 -290.5135 3.709557 + house_resources_m | -95.54091 49.49525 -1.93 0.054 -192.781 1.699224 + house_science_m | 224.4583 160.8939 1.40 0.164 -91.63954 540.5561 + house_transp_m | -267.0172 69.68042 -3.83 0.000 -403.9138 -130.1206 + house_homeland_m | 255.046 150.4077 1.70 0.091 -40.45045 550.5424 + democrat | 0 (omitted) + rookie | -18.38786 4.276152 -4.30 0.000 -26.78895 -9.986783 + tenure_run | -3.553692 .8659821 -4.10 0.000 -5.255031 -1.852353 + age | .5485189 .3042488 1.80 0.072 -.0492191 1.146257 + leader | -5.210674 7.123874 -0.73 0.465 -19.20649 8.785143 + ivycoll | 19.03302 14.23561 1.34 0.182 -8.934764 47.00081 + black | -23.67681 37.08292 -0.64 0.523 -96.53123 49.1776 + occ0 | 6.184938 9.968184 0.62 0.535 -13.39891 25.76879 + occ1 | -4.147257 9.908341 -0.42 0.676 -23.61354 15.31902 + occ2 | -2.852431 7.809371 -0.37 0.715 -18.195 12.49014 + occ3 | .9703069 10.67115 0.09 0.928 -19.99461 21.93523 + occ4 | 1.319549 8.216238 0.16 0.872 -14.82236 17.46146 + borninstate | -4.217387 5.04524 -0.84 0.404 -14.12944 5.69467 + _cons | 247.5622 38.92103 6.36 0.000 171.0965 324.0278 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,243 1 0 1 1 +reg nbills_cosponsored cosponsor_female i.v2 house_* region_NE region_MW region_WE pct_b pct_u pct_f pct_a lninc lnpden if tag_cosponsor==1, robust cluster(cospons +> or_v1_fix) + +Linear regression Number of obs = 4,850 + F(53, 1096) = 28.78 + Prob > F = 0.0000 + R-squared = 0.3901 + Root MSE = 89.605 + + (Std. Err. adjusted for 1,097 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust + nbills_cosponsored | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | 15.40983 8.324702 1.85 0.064 -.9243224 31.74399 + | + v2 | + 102 | -43.51645 8.003932 -5.44 0.000 -59.22121 -27.81169 + 103 | -53.87832 16.57629 -3.25 0.001 -86.40317 -21.35348 + 104 | 2.502052 30.19633 0.08 0.934 -56.74711 61.75121 + 105 | -25.74019 32.80479 -0.78 0.433 -90.10748 38.62711 + 106 | -1.389476 30.8982 -0.04 0.964 -62.01579 59.23684 + 107 | -8.938439 31.48695 -0.28 0.777 -70.71996 52.84308 + 108 | 68.59882 50.56438 1.36 0.175 -30.61511 167.8128 + 109 | 57.73648 51.31079 1.13 0.261 -42.94201 158.415 + 110 | 116.0341 50.66054 2.29 0.022 16.63144 215.4367 + 111 | 111.0418 50.25384 2.21 0.027 12.43718 209.6464 + | + house_administration_m | -153.4825 86.50512 -1.77 0.076 -323.2168 16.25186 + house_agriculture_m | 82.72192 72.85245 1.14 0.256 -60.22413 225.668 + house_appropriations_m | 213.2412 53.22516 4.01 0.000 108.8065 317.6759 + house_armedservices_m | -31.07637 126.4759 -0.25 0.806 -279.2386 217.0858 + house_budget_m | -273.6757 101.8264 -2.69 0.007 -473.4725 -73.87892 + house_dc_m | 104.2734 657.5139 0.16 0.874 -1185.855 1394.402 + house_educlabor_m | 301.4986 87.01775 3.46 0.001 130.7584 472.2388 + house_energycommerce_m | 185.8522 48.19762 3.86 0.000 91.28216 280.4222 + house_foreignaffairs_m | 488.9248 104.5227 4.68 0.000 283.8377 694.0119 + house_governmentop_m | 418.4644 112.5032 3.72 0.000 197.7183 639.2104 + house_intelligence_m | -550.0431 296.6473 -1.85 0.064 -1132.104 32.01765 + house_interior_m | -260.706 132.3823 -1.97 0.049 -520.4573 -.954638 + house_judiciary_m | -78.62455 71.29247 -1.10 0.270 -218.5097 61.2606 + house_mmf_m | 145.5264 83.78803 1.74 0.083 -18.87673 309.9294 + house_pocs_m | -391.0105 108.7274 -3.60 0.000 -604.3478 -177.6731 + house_pwt_m | -288.5731 61.17295 -4.72 0.000 -408.6024 -168.5437 + house_rules_m | -235.8571 115.2076 -2.05 0.041 -461.9094 -9.804774 + house_sst_m | -372.989 169.7032 -2.20 0.028 -705.9688 -40.00917 + house_smallbusi_m | 911.8585 284.7536 3.20 0.001 353.1347 1470.582 + house_soc_m | -390.7243 622.3551 -0.63 0.530 -1611.866 830.4177 + house_veterans_m | 240.9891 87.03408 2.77 0.006 70.2169 411.7614 + house_waysandmeans_m | -118.0069 50.62742 -2.33 0.020 -217.3445 -18.6693 +house_naturalresources_m | -576.6929 159.0336 -3.63 0.000 -888.7375 -264.6483 + house_bfs_m | -767.2421 54.64275 -14.04 0.000 -874.4583 -660.0258 + house_eeo_m | 1.461604 71.58577 0.02 0.984 -138.999 141.9223 + house_govreform_m | -95.12293 66.28799 -1.43 0.152 -225.1886 34.94278 + house_ir_m | 101.2018 151.4877 0.67 0.504 -196.0369 398.4406 + house_natsecur_m | -200.6796 101.3454 -1.98 0.048 -399.5324 -1.826716 + house_oversight_m | -332.2961 81.29857 -4.09 0.000 -491.8145 -172.7776 + house_resources_m | -275.8644 74.13748 -3.72 0.000 -421.3318 -130.397 + house_science_m | 364.6779 136.0197 2.68 0.007 97.78945 631.5663 + house_transp_m | -370.6722 79.20052 -4.68 0.000 -526.074 -215.2705 + house_homeland_m | -119.1657 167.9975 -0.71 0.478 -448.7988 210.4673 + region_NE | 34.38186 8.6873 3.96 0.000 17.33624 51.42748 + region_MW | 9.450414 6.879809 1.37 0.170 -4.04867 22.9495 + region_WE | 29.54654 9.136657 3.23 0.001 11.61923 47.47386 + pct_b | 102.7879 21.71331 4.73 0.000 60.18354 145.3922 + pct_u | -7.959836 15.97587 -0.50 0.618 -39.30658 23.38691 + pct_f | 104.5449 44.81695 2.33 0.020 16.60815 192.4816 + pct_a | -7.249771 75.40622 -0.10 0.923 -155.2066 140.7071 + lninc | 29.10085 15.88106 1.83 0.067 -2.059866 60.26157 + lnpden | 2.643178 2.578886 1.02 0.306 -2.416934 7.703291 + _cons | -49.50432 168.277 -0.29 0.769 -379.6859 280.6772 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,850 1 0 1 1 +reg nbills_cosponsored cosponsor_female i.v2 house_* region_NE region_MW region_WE pct_b pct_u pct_f pct_a lninc lnpden if cosponsor_party==100 & tag_cosponsor==1, +> robust cluster(cosponsor_v1_fix) + +Linear regression Number of obs = 2,547 + F(53, 586) = 26.05 + Prob > F = 0.0000 + R-squared = 0.4388 + Root MSE = 98.906 + + (Std. Err. adjusted for 587 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust + nbills_cosponsored | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | 14.6533 10.51397 1.39 0.164 -5.99636 35.30296 + | + v2 | + 102 | -38.91169 11.37581 -3.42 0.001 -61.25401 -16.56938 + 103 | -24.55872 25.27789 -0.97 0.332 -74.20502 25.08757 + 104 | 30.36529 39.56437 0.77 0.443 -47.33995 108.0705 + 105 | 1.660235 40.07238 0.04 0.967 -77.04274 80.36321 + 106 | 50.16312 38.06145 1.32 0.188 -24.59034 124.9166 + 107 | 59.7024 38.73444 1.54 0.124 -16.37283 135.7776 + 108 | 74.25034 70.54177 1.05 0.293 -64.29514 212.7958 + 109 | 80.40175 71.83826 1.12 0.264 -60.69007 221.4936 + 110 | 144.9225 70.0507 2.07 0.039 7.341538 282.5035 + 111 | 123.7136 70.46917 1.76 0.080 -14.6893 262.1165 + | + house_administration_m | -491.878 138.5831 -3.55 0.000 -764.0581 -219.698 + house_agriculture_m | -72.66708 114.7359 -0.63 0.527 -298.0107 152.6766 + house_appropriations_m | 323.3114 191.5671 1.69 0.092 -52.93025 699.553 + house_armedservices_m | -245.9047 136.598 -1.80 0.072 -514.1859 22.3765 + house_budget_m | -494.6945 210.0199 -2.36 0.019 -907.1778 -82.21116 + house_dc_m | -1297.898 930.0872 -1.40 0.163 -3124.609 528.8118 + house_educlabor_m | 185.0455 104.8249 1.77 0.078 -20.8328 390.9239 + house_energycommerce_m | 213.5658 63.5207 3.36 0.001 88.80987 338.3218 + house_foreignaffairs_m | 407.0316 129.7463 3.14 0.002 152.2073 661.8559 + house_governmentop_m | 638.111 163.1144 3.91 0.000 317.7511 958.471 + house_intelligence_m | -1342.92 430.9572 -3.12 0.002 -2189.328 -496.5109 + house_interior_m | -55.27303 196.1709 -0.28 0.778 -440.5566 330.0105 + house_judiciary_m | 162.836 70.30514 2.32 0.021 24.75525 300.9167 + house_mmf_m | 113.6741 128.3809 0.89 0.376 -138.4686 365.8169 + house_pocs_m | -148.6442 156.4195 -0.95 0.342 -455.8554 158.5669 + house_pwt_m | -343.4849 83.15089 -4.13 0.000 -506.795 -180.1749 + house_rules_m | -835.2988 173.0772 -4.83 0.000 -1175.226 -495.3716 + house_sst_m | -120.5767 241.6529 -0.50 0.618 -595.1879 354.0345 + house_smallbusi_m | 661.4194 366.1007 1.81 0.071 -57.60978 1380.449 + house_soc_m | -1980.869 809.8129 -2.45 0.015 -3571.358 -390.38 + house_veterans_m | 187.8417 96.2669 1.95 0.052 -1.228417 376.9119 + house_waysandmeans_m | -117.8947 55.29766 -2.13 0.033 -226.5004 -9.288939 +house_naturalresources_m | -888.5653 197.3663 -4.50 0.000 -1276.197 -500.9338 + house_bfs_m | -915.616 83.10198 -11.02 0.000 -1078.83 -752.402 + house_eeo_m | -244.9804 137.7245 -1.78 0.076 -515.4742 25.51338 + house_govreform_m | -129.0975 126.234 -1.02 0.307 -377.0238 118.8287 + house_ir_m | 29.84625 152.6784 0.20 0.845 -270.0172 329.7097 + house_natsecur_m | -329.6174 154.809 -2.13 0.034 -633.6655 -25.56926 + house_oversight_m | -549.9424 129.7619 -4.24 0.000 -804.7973 -295.0874 + house_resources_m | -536.1022 150.2127 -3.57 0.000 -831.1231 -241.0814 + house_science_m | 233.0285 205.4722 1.13 0.257 -170.5231 636.5801 + house_transp_m | -314.3668 128.5211 -2.45 0.015 -566.7849 -61.94864 + house_homeland_m | -342.8159 290.6448 -1.18 0.239 -913.6482 228.0163 + region_NE | 34.58242 13.41679 2.58 0.010 8.231575 60.93326 + region_MW | 25.06328 11.40935 2.20 0.028 2.655087 47.47147 + region_WE | 30.55491 14.65467 2.08 0.038 1.77284 59.33698 + pct_b | 105.8174 27.32093 3.87 0.000 52.15854 159.4763 + pct_u | 16.09972 24.41096 0.66 0.510 -31.84391 64.04335 + pct_f | 137.9341 58.13146 2.37 0.018 23.76275 252.1055 + pct_a | -13.89618 124.2156 -0.11 0.911 -257.8582 230.0658 + lninc | 51.00912 21.09477 2.42 0.016 9.578565 92.43968 + lnpden | -1.981898 4.054316 -0.49 0.625 -9.944657 5.980861 + _cons | -247.5777 213.7075 -1.16 0.247 -667.3037 172.1483 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,547 1 0 1 1 +reg nbills_cosponsored cosponsor_female i.v2 house_* region_NE region_MW region_WE pct_b pct_u pct_f pct_a lninc lnpden if cosponsor_party==200 & tag_cosponsor==1, +> robust cluster(cosponsor_v1_fix) + +Linear regression Number of obs = 2,294 + F(53, 520) = 13.02 + Prob > F = 0.0000 + R-squared = 0.2927 + Root MSE = 64.255 + + (Std. Err. adjusted for 521 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust + nbills_cosponsored | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | 14.22196 8.548846 1.66 0.097 -2.57256 31.01648 + | + v2 | + 102 | -13.04834 8.785801 -1.49 0.138 -30.30837 4.211686 + 103 | -12.70291 18.81453 -0.68 0.500 -49.66474 24.25891 + 104 | 26.63296 34.68835 0.77 0.443 -41.51357 94.7795 + 105 | 1.188326 31.91504 0.04 0.970 -61.50993 63.88658 + 106 | -13.59914 29.15129 -0.47 0.641 -70.86792 43.66965 + 107 | -39.77034 28.8112 -1.38 0.168 -96.371 16.83032 + 108 | 31.55489 46.6124 0.68 0.499 -60.01686 123.1266 + 109 | 40.90742 47.88807 0.85 0.393 -53.17044 134.9853 + 110 | 80.80718 50.96919 1.59 0.113 -19.32366 180.938 + 111 | 77.36453 50.8225 1.52 0.129 -22.47812 177.2072 + | + house_administration_m | -15.82425 113.5081 -0.14 0.889 -238.8151 207.1666 + house_agriculture_m | -127.7692 70.42048 -1.81 0.070 -266.1128 10.5744 + house_appropriations_m | 86.02198 49.74585 1.73 0.084 -11.70555 183.7495 + house_armedservices_m | 99.81801 93.36061 1.07 0.285 -83.59232 283.2283 + house_budget_m | -279.1783 97.39336 -2.87 0.004 -470.5111 -87.84549 + house_dc_m | 1195.136 722.9678 1.65 0.099 -225.1605 2615.433 + house_educlabor_m | 77.67734 57.59147 1.35 0.178 -35.46321 190.8179 + house_energycommerce_m | -65.4336 37.80711 -1.73 0.084 -139.707 8.839843 + house_foreignaffairs_m | 588.8207 133.8774 4.40 0.000 325.8137 851.8277 + house_governmentop_m | -43.72597 130.9938 -0.33 0.739 -301.0681 213.6162 + house_intelligence_m | -1393.106 268.1061 -5.20 0.000 -1919.81 -866.4017 + house_interior_m | -376.1998 149.5451 -2.52 0.012 -669.9866 -82.41304 + house_judiciary_m | -163.6026 41.01018 -3.99 0.000 -244.1686 -83.03656 + house_mmf_m | -59.68041 94.82124 -0.63 0.529 -245.9602 126.5994 + house_pocs_m | 22.82769 151.2441 0.15 0.880 -274.2968 319.9522 + house_pwt_m | -193.6608 112.6083 -1.72 0.086 -414.8838 27.56232 + house_rules_m | -117.904 100.1455 -1.18 0.240 -314.6436 78.83553 + house_sst_m | -268.5239 197.2545 -1.36 0.174 -656.0375 118.9897 + house_smallbusi_m | 781.7306 249.8222 3.13 0.002 290.9457 1272.515 + house_soc_m | -893.5429 628.4189 -1.42 0.156 -2128.095 341.009 + house_veterans_m | 80.10573 89.84556 0.89 0.373 -96.39916 256.6106 + house_waysandmeans_m | -46.64686 39.49514 -1.18 0.238 -124.2365 30.94279 +house_naturalresources_m | -297.9795 109.1591 -2.73 0.007 -512.4266 -83.53246 + house_bfs_m | -647.8587 54.53016 -11.88 0.000 -754.9852 -540.7323 + house_eeo_m | -25.10973 76.11232 -0.33 0.742 -174.6352 124.4157 + house_govreform_m | -187.8703 57.00523 -3.30 0.001 -299.8592 -75.88145 + house_ir_m | 350.372 88.84143 3.94 0.000 175.8398 524.9042 + house_natsecur_m | -170.2973 105.6589 -1.61 0.108 -377.8682 37.27357 + house_oversight_m | -114.6587 78.53729 -1.46 0.145 -268.948 39.63071 + house_resources_m | -237.1364 62.07242 -3.82 0.000 -359.08 -115.1929 + house_science_m | 221.4005 147.0702 1.51 0.133 -67.52419 510.3252 + house_transp_m | -287.3575 72.38308 -3.97 0.000 -429.5567 -145.1583 + house_homeland_m | 120.4632 186.2293 0.65 0.518 -245.391 486.3174 + region_NE | 26.54999 10.67569 2.49 0.013 5.577213 47.52276 + region_MW | -8.752767 7.024819 -1.25 0.213 -22.55328 5.047746 + region_WE | 17.25577 8.289186 2.08 0.038 .9713636 33.54018 + pct_b | 22.32094 34.50256 0.65 0.518 -45.4606 90.10248 + pct_u | -25.54997 16.02193 -1.59 0.111 -57.02564 5.925693 + pct_f | -34.23367 35.12046 -0.97 0.330 -103.2291 34.76175 + pct_a | 4.651078 75.5786 0.06 0.951 -143.8258 153.128 + lninc | 29.36375 21.13678 1.39 0.165 -12.16022 70.88772 + lnpden | 1.560644 2.628026 0.59 0.553 -3.602209 6.723497 + _cons | 21.3642 213.4936 0.10 0.920 -398.0517 440.7801 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,294 1 0 1 1 +reg nbills_cosponsored cosponsor_female i.v2 house_* democrat rookie tenure_run age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate region_NE region_MW re +> gion_WE pct_b pct_u pct_f pct_a lninc lnpden if tag_cosponsor==1, robust cluster(cosponsor_v1_fix) + +Linear regression Number of obs = 4,747 + F(66, 1080) = 26.51 + Prob > F = 0.0000 + R-squared = 0.4326 + Root MSE = 86.3 + + (Std. Err. adjusted for 1,081 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust + nbills_cosponsored | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | 6.984743 8.379624 0.83 0.405 -9.457444 23.42693 + | + v2 | + 102 | -47.43209 7.457664 -6.36 0.000 -62.06524 -32.79894 + 103 | -68.23065 14.97918 -4.56 0.000 -97.62225 -38.83906 + 104 | -20.84942 26.00942 -0.80 0.423 -71.88414 30.18531 + 105 | -43.47567 26.63855 -1.63 0.103 -95.74485 8.793502 + 106 | -26.53517 25.07877 -1.06 0.290 -75.74381 22.67347 + 107 | -33.10889 25.23024 -1.31 0.190 -82.61473 16.39696 + 108 | 49.32891 45.6145 1.08 0.280 -40.17418 138.832 + 109 | 39.10101 46.23344 0.85 0.398 -51.61652 129.8185 + 110 | 96.31458 47.3739 2.03 0.042 3.359273 189.2699 + 111 | 90.84448 47.1071 1.93 0.054 -1.587327 183.2763 + | + house_administration_m | -148.4673 83.55245 -1.78 0.076 -312.4108 15.47621 + house_agriculture_m | -11.71935 65.70579 -0.18 0.858 -140.6448 117.2061 + house_appropriations_m | 279.1126 46.63178 5.99 0.000 187.6135 370.6118 + house_armedservices_m | 119.7165 81.8844 1.46 0.144 -40.95405 280.387 + house_budget_m | -136.9604 95.19863 -1.44 0.151 -323.7556 49.83486 + house_dc_m | -219.668 608.6204 -0.36 0.718 -1413.881 974.5444 + house_educlabor_m | 275.7316 76.38736 3.61 0.000 125.8471 425.616 + house_energycommerce_m | 152.5809 37.81046 4.04 0.000 78.39066 226.7712 + house_foreignaffairs_m | 512.1777 90.26722 5.67 0.000 335.0587 689.2967 + house_governmentop_m | 554.1823 107.136 5.17 0.000 343.9639 764.4007 + house_intelligence_m | -1007.965 256.7576 -3.93 0.000 -1511.765 -504.1644 + house_interior_m | -235.4824 126.62 -1.86 0.063 -483.9314 12.96655 + house_judiciary_m | 66.95477 40.73022 1.64 0.100 -12.96456 146.8741 + house_mmf_m | 170.989 82.15073 2.08 0.038 9.795877 332.1821 + house_pocs_m | -410.5121 107.0017 -3.84 0.000 -620.4668 -200.5573 + house_pwt_m | -319.8421 98.61316 -3.24 0.001 -513.3372 -126.3471 + house_rules_m | -288.5658 107.8714 -2.68 0.008 -500.227 -76.90464 + house_sst_m | -305.9311 168.2669 -1.82 0.069 -636.0982 24.23607 + house_smallbusi_m | 821.4125 282.0093 2.91 0.004 268.0643 1374.761 + house_soc_m | -810.7311 565.4333 -1.43 0.152 -1920.203 298.7412 + house_veterans_m | 222.0186 76.01011 2.92 0.004 72.87438 371.1628 + house_waysandmeans_m | -37.04411 32.43814 -1.14 0.254 -100.693 26.60482 +house_naturalresources_m | -434.8113 101.7024 -4.28 0.000 -634.368 -235.2547 + house_bfs_m | -806.0298 52.61536 -15.32 0.000 -909.2697 -702.7899 + house_eeo_m | 5.885813 69.65319 0.08 0.933 -130.7851 142.5567 + house_govreform_m | -63.20802 56.39381 -1.12 0.263 -173.8619 47.44582 + house_ir_m | 375.3141 88.78356 4.23 0.000 201.1063 549.522 + house_natsecur_m | -148.3094 90.66666 -1.64 0.102 -326.2121 29.59338 + house_oversight_m | -322.929 86.43834 -3.74 0.000 -492.5351 -153.3229 + house_resources_m | -254.6979 66.2184 -3.85 0.000 -384.6292 -124.7666 + house_science_m | 314.3139 133.3688 2.36 0.019 52.62266 576.0052 + house_transp_m | -383.9974 74.0349 -5.19 0.000 -529.2659 -238.7289 + house_homeland_m | -193.7426 153.3844 -1.26 0.207 -494.7077 107.2226 + democrat | 34.72584 6.510035 5.33 0.000 21.95209 47.49959 + rookie | -28.14516 4.409554 -6.38 0.000 -36.79742 -19.49289 + tenure_run | -2.545299 1.010072 -2.52 0.012 -4.527225 -.5633729 + age | .5460557 .2821244 1.94 0.053 -.0075184 1.09963 + leader | -3.697749 7.623849 -0.49 0.628 -18.65698 11.26149 + ivycoll | -1.670475 11.65913 -0.14 0.886 -24.54758 21.20663 + black | 44.88165 16.42301 2.73 0.006 12.65702 77.10627 + occ0 | -3.803149 9.556168 -0.40 0.691 -22.55391 14.94761 + occ1 | -5.882859 10.63538 -0.55 0.580 -26.7512 14.98548 + occ2 | -17.48342 8.206701 -2.13 0.033 -33.5863 -1.380536 + occ3 | -9.775566 10.65291 -0.92 0.359 -30.67832 11.12719 + occ4 | -11.00431 8.205521 -1.34 0.180 -27.10488 5.096255 + borninstate | -7.87535 5.745045 -1.37 0.171 -19.14807 3.397365 + region_NE | 33.60348 8.020738 4.19 0.000 17.86549 49.34148 + region_MW | 9.626631 6.673097 1.44 0.149 -3.467072 22.72033 + region_WE | 21.13025 8.688002 2.43 0.015 4.08297 38.17752 + pct_b | 24.71326 28.95638 0.85 0.394 -32.10386 81.53039 + pct_u | -15.35398 15.58453 -0.99 0.325 -45.93337 15.22541 + pct_f | 85.2649 40.89263 2.09 0.037 5.026886 165.5029 + pct_a | -34.89668 71.4618 -0.49 0.625 -175.1164 105.323 + lninc | 30.73705 15.37491 2.00 0.046 .5689655 60.90513 + lnpden | 2.406128 2.4914 0.97 0.334 -2.482404 7.294661 + _cons | -91.14234 160.6392 -0.57 0.571 -406.3427 224.058 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,747 1 0 1 1 +reg nbills_cosponsored cosponsor_female i.v2 house_* democrat rookie tenure_run age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate region_NE region_MW re +> gion_WE pct_b pct_u pct_f pct_a lninc lnpden if cosponsor_party==100 & tag_cosponsor==1, robust cluster(cosponsor_v1_fix) +note: democrat omitted because of collinearity + +Linear regression Number of obs = 2,495 + F(65, 581) = 23.71 + Prob > F = 0.0000 + R-squared = 0.4665 + Root MSE = 96.28 + + (Std. Err. adjusted for 582 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust + nbills_cosponsored | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | 5.546681 10.8081 0.51 0.608 -15.68103 26.77439 + | + v2 | + 102 | -39.59621 11.10884 -3.56 0.000 -61.4146 -17.77782 + 103 | -38.12923 23.21189 -1.64 0.101 -83.71868 7.460218 + 104 | 54.18362 39.86032 1.36 0.175 -24.10425 132.4715 + 105 | 16.17079 39.69639 0.41 0.684 -61.79513 94.13671 + 106 | 40.01872 37.39107 1.07 0.285 -33.41941 113.4569 + 107 | 55.23976 37.89572 1.46 0.145 -19.18954 129.6691 + 108 | 91.76769 72.05688 1.27 0.203 -49.75602 233.2914 + 109 | 90.59991 73.08106 1.24 0.216 -52.93534 234.1352 + 110 | 151.1532 73.3085 2.06 0.040 7.17128 295.1352 + 111 | 132.8403 74.13274 1.79 0.074 -12.76052 278.4411 + | + house_administration_m | -373.4497 138.2203 -2.70 0.007 -644.922 -101.9773 + house_agriculture_m | -148.1273 107.5527 -1.38 0.169 -359.3666 63.1121 + house_appropriations_m | 166.6079 207.1708 0.80 0.422 -240.287 573.5029 + house_armedservices_m | 29.71881 137.0284 0.22 0.828 -239.4125 298.8501 + house_budget_m | -543.0625 201.7927 -2.69 0.007 -939.3945 -146.7304 + house_dc_m | -1481.868 821.5816 -1.80 0.072 -3095.5 131.764 + house_educlabor_m | 158.2641 105.6751 1.50 0.135 -49.28768 365.8158 + house_energycommerce_m | 137.5324 62.21478 2.21 0.027 15.33909 259.7256 + house_foreignaffairs_m | 438.2106 132.1786 3.32 0.001 178.6046 697.8166 + house_governmentop_m | 733.473 165.3152 4.44 0.000 408.7849 1058.161 + house_intelligence_m | -1716.679 407.6253 -4.21 0.000 -2517.277 -916.08 + house_interior_m | -21.41038 186.048 -0.12 0.908 -386.819 343.9982 + house_judiciary_m | 102.9083 69.26172 1.49 0.138 -33.12556 238.9422 + house_mmf_m | 81.79994 132.221 0.62 0.536 -177.8895 341.4894 + house_pocs_m | -248.4089 157.0244 -1.58 0.114 -556.8135 59.99572 + house_pwt_m | -465.2059 143.7511 -3.24 0.001 -747.541 -182.8708 + house_rules_m | -832.1037 168.803 -4.93 0.000 -1163.642 -500.5653 + house_sst_m | 70.08997 241.1847 0.29 0.771 -403.6101 543.7901 + house_smallbusi_m | 725.4066 377.1639 1.92 0.055 -15.36427 1466.178 + house_soc_m | -1810.908 864.2823 -2.10 0.037 -3508.406 -113.4091 + house_veterans_m | 132.5668 99.59108 1.33 0.184 -63.03556 328.1692 + house_waysandmeans_m | -111.2989 53.47323 -2.08 0.038 -216.3233 -6.274497 +house_naturalresources_m | -564.2896 156.9846 -3.59 0.000 -872.6161 -255.9631 + house_bfs_m | -974.8566 81.66053 -11.94 0.000 -1135.242 -814.4708 + house_eeo_m | -419.7142 122.7512 -3.42 0.001 -660.8044 -178.6239 + house_govreform_m | -189.6795 123.6451 -1.53 0.126 -432.5253 53.16636 + house_ir_m | 396.6273 143.9724 2.75 0.006 113.8576 679.397 + house_natsecur_m | -231.5551 139.9778 -1.65 0.099 -506.4794 43.36913 + house_oversight_m | -586.475 132.7539 -4.42 0.000 -847.2111 -325.7389 + house_resources_m | -605.4661 158.9729 -3.81 0.000 -917.6977 -293.2344 + house_science_m | 127.5657 195.572 0.65 0.514 -256.5485 511.68 + house_transp_m | -406.059 128.396 -3.16 0.002 -658.2358 -153.8822 + house_homeland_m | -451.386 291.0204 -1.55 0.121 -1022.966 120.1942 + democrat | 0 (omitted) + rookie | -37.30237 7.272622 -5.13 0.000 -51.5862 -23.01853 + tenure_run | -2.355499 1.58091 -1.49 0.137 -5.460495 .7494964 + age | .3861574 .4542305 0.85 0.396 -.5059764 1.278291 + leader | 4.718252 12.89165 0.37 0.715 -20.60166 30.03816 + ivycoll | -14.71578 15.10594 -0.97 0.330 -44.38469 14.95312 + black | 39.90163 20.36948 1.96 0.051 -.1051524 79.90842 + occ0 | -8.63493 13.96211 -0.62 0.537 -36.05728 18.78742 + occ1 | -8.182868 15.61302 -0.52 0.600 -38.84771 22.48198 + occ2 | -29.1179 12.65957 -2.30 0.022 -53.98199 -4.253806 + occ3 | -20.47513 16.69296 -1.23 0.220 -53.26103 12.31077 + occ4 | -22.25742 15.19166 -1.47 0.143 -52.09468 7.579842 + borninstate | -10.56696 9.799955 -1.08 0.281 -29.81461 8.680697 + region_NE | 30.97238 12.39665 2.50 0.013 6.624668 55.32009 + region_MW | 19.82781 11.34545 1.75 0.081 -2.455272 42.1109 + region_WE | 18.40638 14.80123 1.24 0.214 -10.66405 47.47682 + pct_b | 39.00787 40.27173 0.97 0.333 -40.08805 118.1038 + pct_u | 12.40494 25.58342 0.48 0.628 -37.84231 62.6522 + pct_f | 124.9522 55.87085 2.24 0.026 15.21879 234.6857 + pct_a | -18.22868 118.6507 -0.15 0.878 -251.2653 214.8079 + lninc | 48.88288 20.26513 2.41 0.016 9.081037 88.68472 + lnpden | -.5714857 4.214575 -0.14 0.892 -8.849145 7.706174 + _cons | -166.5714 207.448 -0.80 0.422 -574.0108 240.868 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,495 1 0 1 1 +reg nbills_cosponsored cosponsor_female i.v2 house_* democrat rookie tenure_run age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate region_NE region_MW re +> gion_WE pct_b pct_u pct_f pct_a lninc lnpden if cosponsor_party==200 & tag_cosponsor==1, robust cluster(cosponsor_v1_fix) +note: democrat omitted because of collinearity + +Linear regression Number of obs = 2,243 + F(65, 509) = 12.61 + Prob > F = 0.0000 + R-squared = 0.3244 + Root MSE = 62.14 + + (Std. Err. adjusted for 510 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust + nbills_cosponsored | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | 10.00724 8.795016 1.14 0.256 -7.271759 27.28625 + | + v2 | + 102 | -14.14736 8.478128 -1.67 0.096 -30.80379 2.509074 + 103 | -9.410481 17.72362 -0.53 0.596 -44.23094 25.40998 + 104 | 9.295773 32.99758 0.28 0.778 -55.53245 74.124 + 105 | -22.99008 30.04018 -0.77 0.444 -82.00809 36.02792 + 106 | -28.48168 27.04976 -1.05 0.293 -81.62461 24.66124 + 107 | -57.74255 26.77262 -2.16 0.031 -110.341 -5.144115 + 108 | 10.67386 43.81754 0.24 0.808 -75.41164 96.75936 + 109 | 17.51662 44.96503 0.39 0.697 -70.82328 105.8565 + 110 | 62.341 47.86997 1.30 0.193 -31.70605 156.388 + 111 | 61.56568 47.73587 1.29 0.198 -32.2179 155.3493 + | + house_administration_m | -122.2722 105.9239 -1.15 0.249 -330.3741 85.82966 + house_agriculture_m | -146.2844 69.31825 -2.11 0.035 -282.4695 -10.0993 + house_appropriations_m | 134.3325 49.14 2.73 0.006 37.79026 230.8747 + house_armedservices_m | 52.25951 89.17652 0.59 0.558 -122.9398 227.4589 + house_budget_m | -278.0399 94.59377 -2.94 0.003 -463.8822 -92.19764 + house_dc_m | 1133.056 697.2446 1.63 0.105 -236.7756 2502.888 + house_educlabor_m | 127.3561 59.83136 2.13 0.034 9.809327 244.903 + house_energycommerce_m | -11.47147 39.20454 -0.29 0.770 -88.49412 65.55117 + house_foreignaffairs_m | 594.6644 130.5862 4.55 0.000 338.1102 851.2187 + house_governmentop_m | 5.524322 125.5121 0.04 0.965 -241.0613 252.1099 + house_intelligence_m | -1336.671 267.7069 -4.99 0.000 -1862.618 -810.7248 + house_interior_m | -336.0858 156.3168 -2.15 0.032 -643.1913 -28.98036 + house_judiciary_m | -91.45588 41.0146 -2.23 0.026 -172.0346 -10.87714 + house_mmf_m | 5.530754 90.69536 0.06 0.951 -172.6526 183.7141 + house_pocs_m | 34.58745 140.0303 0.25 0.805 -240.5211 309.696 + house_pwt_m | -196.4029 93.31211 -2.10 0.036 -379.7272 -13.0786 + house_rules_m | -205.4186 100.6477 -2.04 0.042 -403.1547 -7.682492 + house_sst_m | -313.2018 191.2083 -1.64 0.102 -688.8564 62.45277 + house_smallbusi_m | 716.3193 262.7054 2.73 0.007 200.199 1232.44 + house_soc_m | -818.8504 643.155 -1.27 0.204 -2082.416 444.7147 + house_veterans_m | 207.9154 86.99802 2.39 0.017 36.99597 378.8348 + house_waysandmeans_m | 18.6752 36.57694 0.51 0.610 -53.18516 90.53556 +house_naturalresources_m | -284.2473 108.9453 -2.61 0.009 -498.2852 -70.20946 + house_bfs_m | -611.5532 55.22086 -11.07 0.000 -720.042 -503.0643 + house_eeo_m | -17.01759 68.49029 -0.25 0.804 -151.576 117.5409 + house_govreform_m | -112.8323 56.5252 -2.00 0.046 -223.8837 -1.780869 + house_ir_m | 397.2916 90.10834 4.41 0.000 220.2616 574.3217 + house_natsecur_m | -150.0212 101.6828 -1.48 0.141 -349.7909 49.74855 + house_oversight_m | -137.9064 76.66775 -1.80 0.073 -288.5306 12.71781 + house_resources_m | -183.5836 56.48436 -3.25 0.001 -294.5548 -72.61242 + house_science_m | 241.6498 157.3488 1.54 0.125 -67.48326 550.7828 + house_transp_m | -245.9055 69.68399 -3.53 0.000 -382.8092 -109.0019 + house_homeland_m | 146.232 154.459 0.95 0.344 -157.2237 449.6878 + democrat | 0 (omitted) + rookie | -18.90051 4.210061 -4.49 0.000 -27.17175 -10.62927 + tenure_run | -3.253841 .8485783 -3.83 0.000 -4.920988 -1.586694 + age | .4277242 .2985526 1.43 0.153 -.1588229 1.014271 + leader | -7.599592 6.76471 -1.12 0.262 -20.88978 5.690597 + ivycoll | 13.41643 14.23897 0.94 0.347 -14.55796 41.39082 + black | -24.34637 44.05055 -0.55 0.581 -110.8896 62.19691 + occ0 | 1.523093 10.0341 0.15 0.879 -18.19026 21.23644 + occ1 | -5.056751 9.429857 -0.54 0.592 -23.58298 13.46948 + occ2 | -2.975847 7.685318 -0.39 0.699 -18.0747 12.123 + occ3 | 2.61212 10.54314 0.25 0.804 -18.10132 23.32556 + occ4 | -.5723201 8.105261 -0.07 0.944 -16.4962 15.35156 + borninstate | -5.142071 4.986036 -1.03 0.303 -14.93781 4.653671 + region_NE | 22.48021 9.394325 2.39 0.017 4.023787 40.93664 + region_MW | -5.777725 6.848673 -0.84 0.399 -19.23287 7.677421 + region_WE | 15.39684 8.228588 1.87 0.062 -.7693341 31.56302 + pct_b | 7.262431 31.38305 0.23 0.817 -54.39382 68.91868 + pct_u | -23.72154 15.57109 -1.52 0.128 -54.31305 6.86997 + pct_f | -31.8829 32.40916 -0.98 0.326 -95.55509 31.78928 + pct_a | -39.84742 73.00249 -0.55 0.585 -183.2707 103.5759 + lninc | 26.18109 20.65022 1.27 0.205 -14.38907 66.75125 + lnpden | 1.217436 2.547229 0.48 0.633 -3.786939 6.221812 + _cons | 14.08185 211.031 0.07 0.947 -400.5171 428.6808 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,243 1 0 1 1 +(4,877 missing values generated) +(4,877 missing values generated) +(4,877 missing values generated) +(4,877 missing values generated) +(4,877 missing values generated) +(4,877 missing values generated) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(4,859 observations deleted) +(15 missing values generated) +(3 real changes made) +(2 real changes made) +(16 missing values generated) +(2 real changes made) +(1 real change made) +(18 missing values generated) +(0 real changes made) +(0 real changes made) +(16 missing values generated) +(0 real changes made) +(0 real changes made) +(18 missing values generated) +(0 real changes made) +(0 real changes made) +(5 real changes made) +(5 real changes made) +(5 real changes made) +file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/Table3b_nbills_cosponsored_OLS.xlsx saved +reg pctbills_cosponsored_opp cosponsor_female i.v2 if tag_cosponsor==1, robust cluster(cosponsor_v1_fix) + +Linear regression Number of obs = 4,862 + F(11, 1099) = 9.72 + Prob > F = 0.0000 + R-squared = 0.0152 + Root MSE = 16.596 + + (Std. Err. adjusted for 1,100 clusters in cosponsor_v1_fix) +---------------------------------------------------------------------------------- + | Robust +pctbills_cospo~p | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------+---------------------------------------------------------------- +cosponsor_female | -1.236193 .9817055 -1.26 0.208 -3.162422 .6900355 + | + v2 | + 102 | -.9761275 .5045859 -1.93 0.053 -1.966188 .0139331 + 103 | -3.425604 .7001218 -4.89 0.000 -4.79933 -2.051877 + 104 | -2.164639 1.369687 -1.58 0.114 -4.852136 .522859 + 105 | -2.607352 1.205801 -2.16 0.031 -4.973284 -.2414189 + 106 | -1.807427 1.208012 -1.50 0.135 -4.177697 .562842 + 107 | -2.767328 1.115702 -2.48 0.013 -4.956476 -.5781813 + 108 | -4.092669 1.108083 -3.69 0.000 -6.266867 -1.918472 + 109 | -5.21099 1.205027 -4.32 0.000 -7.575402 -2.846577 + 110 | -4.322419 1.102 -3.92 0.000 -6.484681 -2.160156 + 111 | -7.451615 1.080031 -6.90 0.000 -9.57077 -5.33246 + | + _cons | 30.10576 .7891786 38.15 0.000 28.5573 31.65423 +---------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,862 1 0 1 1 +reg pctbills_cosponsored_opp cosponsor_female i.v2 if cosponsor_party==100 & tag_cosponsor==1, robust cluster(cosponsor_v1_fix) + +Linear regression Number of obs = 2,554 + F(11, 587) = 366.31 + Prob > F = 0.0000 + R-squared = 0.6754 + Root MSE = 9.185 + + (Std. Err. adjusted for 588 clusters in cosponsor_v1_fix) +---------------------------------------------------------------------------------- + | Robust +pctbills_cospo~p | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------+---------------------------------------------------------------- +cosponsor_female | -5.801345 .8556248 -6.78 0.000 -7.481803 -4.120886 + | + v2 | + 102 | -1.430227 .3802824 -3.76 0.000 -2.177107 -.6833476 + 103 | -.108258 .5693044 -0.19 0.849 -1.22638 1.009864 + 104 | 27.18599 .9790156 27.77 0.000 25.26319 29.10879 + 105 | 22.82373 .8564959 26.65 0.000 21.14156 24.5059 + 106 | 23.84856 .8202086 29.08 0.000 22.23766 25.45946 + 107 | 20.67541 .7809307 26.48 0.000 19.14165 22.20917 + 108 | 19.56643 .7919903 24.71 0.000 18.01095 21.12191 + 109 | 22.14764 .8709364 25.43 0.000 20.43711 23.85817 + 110 | -6.854471 .5446423 -12.59 0.000 -7.924156 -5.784786 + 111 | -6.724061 .5644585 -11.91 0.000 -7.832665 -5.615457 + | + _cons | 18.81893 .4246781 44.31 0.000 17.98486 19.653 +---------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,554 1 0 1 1 +reg pctbills_cosponsored_opp cosponsor_female i.v2 if cosponsor_party==200 & tag_cosponsor==1, robust cluster(cosponsor_v1_fix) + +Linear regression Number of obs = 2,299 + F(11, 522) = 434.49 + Prob > F = 0.0000 + R-squared = 0.6906 + Root MSE = 9.6395 + + (Std. Err. adjusted for 523 clusters in cosponsor_v1_fix) +---------------------------------------------------------------------------------- + | Robust +pctbills_cospo~p | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------+---------------------------------------------------------------- +cosponsor_female | 3.588576 1.784919 2.01 0.045 .082069 7.095083 + | + v2 | + 102 | 1.172501 .7884808 1.49 0.138 -.3764848 2.721486 + 103 | -8.036212 .9137016 -8.80 0.000 -9.831196 -6.241228 + 104 | -34.51817 .8251062 -41.83 0.000 -36.13911 -32.89723 + 105 | -31.85511 .8725547 -36.51 0.000 -33.56926 -30.14096 + 106 | -31.65036 .8850064 -35.76 0.000 -33.38898 -29.91175 + 107 | -30.44283 .917105 -33.19 0.000 -32.2445 -28.64116 + 108 | -31.72577 .9411859 -33.71 0.000 -33.57475 -29.87679 + 109 | -35.68527 .9153753 -38.98 0.000 -37.48355 -33.887 + 110 | -4.383078 1.202181 -3.65 0.000 -6.744785 -2.021371 + 111 | -8.088511 1.328489 -6.09 0.000 -10.69835 -5.478669 + | + _cons | 47.03064 .8498249 55.34 0.000 45.36115 48.70014 +---------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,299 1 0 1 1 +reg pctbills_cosponsored_opp cosponsor_female i.v2 house_* if tag_cosponsor==1, robust cluster(cosponsor_v1_fix) + +Linear regression Number of obs = 4,850 + F(44, 1096) = 26.99 + Prob > F = 0.0000 + R-squared = 0.2418 + Root MSE = 14.583 + + (Std. Err. adjusted for 1,097 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust +pctbills_cosponsored_opp | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | -.850582 .9364059 -0.91 0.364 -2.687933 .9867688 + | + v2 | + 102 | -6.107459 1.049145 -5.82 0.000 -8.166018 -4.048899 + 103 | -9.617382 2.115742 -4.55 0.000 -13.76874 -5.46602 + 104 | -7.455847 4.784144 -1.56 0.119 -16.84296 1.931269 + 105 | -12.22642 3.87583 -3.15 0.002 -19.83131 -4.621538 + 106 | -13.67375 3.782477 -3.62 0.000 -21.09546 -6.252031 + 107 | -18.09162 3.815885 -4.74 0.000 -25.57888 -10.60435 + 108 | -17.60463 3.735802 -4.71 0.000 -24.93476 -10.2745 + 109 | -22.72201 3.910685 -5.81 0.000 -30.39529 -15.04873 + 110 | -17.67396 3.916871 -4.51 0.000 -25.35938 -9.988548 + 111 | -20.33345 3.845077 -5.29 0.000 -27.87799 -12.7889 + | + house_administration_m | 66.33851 15.69417 4.23 0.000 35.54449 97.13254 + house_agriculture_m | 32.99376 14.01697 2.35 0.019 5.490622 60.49689 + house_appropriations_m | 50.49091 7.890327 6.40 0.000 35.00906 65.97276 + house_armedservices_m | 37.6685 14.54086 2.59 0.010 9.137431 66.19957 + house_budget_m | -68.74341 23.71883 -2.90 0.004 -115.2829 -22.20396 + house_dc_m | 113.9267 145.7571 0.78 0.435 -172.0679 399.9213 + house_educlabor_m | -41.74179 7.654503 -5.45 0.000 -56.76093 -26.72266 + house_energycommerce_m | 52.96773 5.499679 9.63 0.000 42.17664 63.75882 + house_foreignaffairs_m | -73.76254 19.36505 -3.81 0.000 -111.7593 -35.76577 + house_governmentop_m | 185.4972 21.25117 8.73 0.000 143.7996 227.1948 + house_intelligence_m | -79.26778 46.17152 -1.72 0.086 -169.8623 11.32679 + house_interior_m | -38.68912 23.37084 -1.66 0.098 -84.54576 7.167522 + house_judiciary_m | -8.83614 6.987528 -1.26 0.206 -22.54658 4.874304 + house_mmf_m | 86.49315 21.76031 3.97 0.000 43.79658 129.1897 + house_pocs_m | -29.84177 20.08555 -1.49 0.138 -69.25225 9.568714 + house_pwt_m | .2368113 11.93102 0.02 0.984 -23.17341 23.64703 + house_rules_m | -87.54177 22.83185 -3.83 0.000 -132.3408 -42.7427 + house_sst_m | -227.123 35.17167 -6.46 0.000 -296.1344 -158.1116 + house_smallbusi_m | -66.4482 31.04542 -2.14 0.033 -127.3634 -5.533021 + house_soc_m | 557.028 146.0834 3.81 0.000 270.3933 843.6628 + house_veterans_m | 69.52305 11.50818 6.04 0.000 46.94249 92.1036 + house_waysandmeans_m | 42.73929 5.874911 7.27 0.000 31.21195 54.26664 +house_naturalresources_m | -18.99504 29.19167 -0.65 0.515 -76.27291 38.28284 + house_bfs_m | 50.1222 8.716964 5.75 0.000 33.01837 67.22602 + house_eeo_m | -115.1133 14.50339 -7.94 0.000 -143.5708 -86.65574 + house_govreform_m | 43.3627 11.15634 3.89 0.000 21.47251 65.25289 + house_ir_m | 25.34462 16.9119 1.50 0.134 -7.838735 58.52798 + house_natsecur_m | 41.3755 26.27144 1.57 0.116 -10.1725 92.92349 + house_oversight_m | 37.19708 20.63475 1.80 0.072 -3.29101 77.68517 + house_resources_m | 22.40676 14.06064 1.59 0.111 -5.182058 49.99557 + house_science_m | 192.4849 24.2079 7.95 0.000 144.9858 239.984 + house_transp_m | 51.81563 13.73133 3.77 0.000 24.87296 78.7583 + house_homeland_m | 40.82569 24.97116 1.63 0.102 -8.170993 89.82236 + _cons | 1.549077 6.006551 0.26 0.797 -10.23656 13.33472 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,850 1 0 1 1 +reg pctbills_cosponsored_opp cosponsor_female i.v2 house_* if cosponsor_party==100 & tag_cosponsor==1, robust cluster(cosponsor_v1_fix) + +Linear regression Number of obs = 2,547 + F(44, 586) = 165.94 + Prob > F = 0.0000 + R-squared = 0.8243 + Root MSE = 6.7847 + + (Std. Err. adjusted for 587 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust +pctbills_cosponsored_opp | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | -2.17905 .5235215 -4.16 0.000 -3.207257 -1.150843 + | + v2 | + 102 | -2.133398 .7320554 -2.91 0.004 -3.57117 -.6956265 + 103 | .41496 1.422626 0.29 0.771 -2.379107 3.209027 + 104 | 39.87541 3.363096 11.86 0.000 33.27022 46.4806 + 105 | 29.08023 2.831023 10.27 0.000 23.52004 34.64042 + 106 | 32.06387 2.617795 12.25 0.000 26.92247 37.20527 + 107 | 28.39453 2.719104 10.44 0.000 23.05416 33.73491 + 108 | 28.03658 2.656247 10.55 0.000 22.81965 33.2535 + 109 | 33.45797 2.801375 11.94 0.000 27.95601 38.95993 + 110 | -4.860649 2.506356 -1.94 0.053 -9.783184 .0618858 + 111 | -7.239974 2.475798 -2.92 0.004 -12.10249 -2.377457 + | + house_administration_m | 7.612394 11.56432 0.66 0.511 -15.10017 30.32495 + house_agriculture_m | -1.642661 10.21616 -0.16 0.872 -21.70742 18.42209 + house_appropriations_m | 79.96703 10.0753 7.94 0.000 60.17893 99.75512 + house_armedservices_m | 33.61481 8.459511 3.97 0.000 17.00016 50.22947 + house_budget_m | 168.6242 25.92745 6.50 0.000 117.7022 219.5462 + house_dc_m | 29.67295 91.31276 0.32 0.745 -149.6672 209.0131 + house_educlabor_m | -62.44792 6.92629 -9.02 0.000 -76.0513 -48.84455 + house_energycommerce_m | -23.46529 4.511413 -5.20 0.000 -32.32579 -14.60478 + house_foreignaffairs_m | -31.89735 7.408102 -4.31 0.000 -46.44701 -17.34768 + house_governmentop_m | 34.80732 19.2765 1.81 0.071 -3.052126 72.66677 + house_intelligence_m | -34.16438 44.23072 -0.77 0.440 -121.0344 52.70567 + house_interior_m | -17.43495 14.53493 -1.20 0.231 -45.98185 11.11195 + house_judiciary_m | 3.256247 7.154946 0.46 0.649 -10.79621 17.30871 + house_mmf_m | 7.735692 10.31142 0.75 0.453 -12.51615 27.98754 + house_pocs_m | 16.46711 11.83428 1.39 0.165 -6.775648 39.70988 + house_pwt_m | -29.90724 5.994948 -4.99 0.000 -41.68145 -18.13304 + house_rules_m | 16.63045 20.35225 0.82 0.414 -23.34178 56.60268 + house_sst_m | -64.37969 20.22177 -3.18 0.002 -104.0957 -24.66372 + house_smallbusi_m | -45.73177 17.75365 -2.58 0.010 -80.60031 -10.86323 + house_soc_m | -221.9985 88.81079 -2.50 0.013 -396.4248 -47.57233 + house_veterans_m | -16.57413 7.957933 -2.08 0.038 -32.20368 -.94459 + house_waysandmeans_m | 9.395635 4.307722 2.18 0.030 .9351815 17.85609 +house_naturalresources_m | -39.50593 10.60517 -3.73 0.000 -60.33469 -18.67716 + house_bfs_m | -25.08643 6.722743 -3.73 0.000 -38.29003 -11.88282 + house_eeo_m | -126.7266 16.57855 -7.64 0.000 -159.2872 -94.16598 + house_govreform_m | -63.64597 13.66265 -4.66 0.000 -90.47969 -36.81225 + house_ir_m | -101.4965 9.741258 -10.42 0.000 -120.6285 -82.36448 + house_natsecur_m | 33.28902 19.25083 1.73 0.084 -4.520004 71.09805 + house_oversight_m | 45.24614 13.14243 3.44 0.001 19.43415 71.05814 + house_resources_m | -41.0319 12.93719 -3.17 0.002 -66.4408 -15.62299 + house_science_m | 54.21902 18.84131 2.88 0.004 17.2143 91.22373 + house_transp_m | 20.78705 10.45266 1.99 0.047 .2578193 41.31629 + house_homeland_m | -35.16472 15.26693 -2.30 0.022 -65.14928 -5.18016 + _cons | 33.17985 4.247771 7.81 0.000 24.83714 41.52256 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,547 1 0 1 1 +reg pctbills_cosponsored_opp cosponsor_female i.v2 house_* if cosponsor_party==200 & tag_cosponsor==1, robust cluster(cosponsor_v1_fix) + +Linear regression Number of obs = 2,294 + F(44, 520) = 276.13 + Prob > F = 0.0000 + R-squared = 0.8572 + Root MSE = 6.5881 + + (Std. Err. adjusted for 521 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust +pctbills_cosponsored_opp | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | 1.045401 .9799515 1.07 0.287 -.8797496 2.970551 + | + v2 | + 102 | 6.784397 .8902127 7.62 0.000 5.035542 8.533252 + 103 | 4.818639 1.72018 2.80 0.005 1.439283 8.197995 + 104 | -33.85327 3.08237 -10.98 0.000 -39.9087 -27.79784 + 105 | -36.28245 2.407028 -15.07 0.000 -41.01114 -31.55375 + 106 | -41.00401 2.171302 -18.88 0.000 -45.26961 -36.7384 + 107 | -39.62312 2.186176 -18.12 0.000 -43.91795 -35.3283 + 108 | -39.30604 2.197394 -17.89 0.000 -43.6229 -34.98917 + 109 | -44.36794 2.250038 -19.72 0.000 -48.78822 -39.94765 + 110 | .5850607 2.69153 0.22 0.828 -4.702547 5.872669 + 111 | .98657 2.934855 0.34 0.737 -4.779059 6.752199 + | + house_administration_m | -31.39296 11.43451 -2.75 0.006 -53.85646 -8.929451 + house_agriculture_m | 10.39238 7.486372 1.39 0.166 -4.314873 25.09963 + house_appropriations_m | -79.56332 4.932051 -16.13 0.000 -89.25252 -69.87413 + house_armedservices_m | -28.53265 8.841978 -3.23 0.001 -45.90304 -11.16226 + house_budget_m | -33.13678 11.21346 -2.96 0.003 -55.16604 -11.10752 + house_dc_m | -201.1826 82.93976 -2.43 0.016 -364.1208 -38.24438 + house_educlabor_m | -4.565588 6.587591 -0.69 0.489 -17.50715 8.375976 + house_energycommerce_m | 25.20403 4.398756 5.73 0.000 16.56252 33.84555 + house_foreignaffairs_m | 12.1919 11.90548 1.02 0.306 -11.19684 35.58065 + house_governmentop_m | -19.68638 15.23697 -1.29 0.197 -49.61995 10.2472 + house_intelligence_m | -75.6207 33.64566 -2.25 0.025 -141.7188 -9.522583 + house_interior_m | -47.6302 20.18753 -2.36 0.019 -87.28934 -7.971059 + house_judiciary_m | -55.58063 4.706643 -11.81 0.000 -64.827 -46.33426 + house_mmf_m | 33.78392 10.74754 3.14 0.002 12.66998 54.89786 + house_pocs_m | 33.71341 14.89192 2.26 0.024 4.45768 62.96913 + house_pwt_m | -10.24921 11.33872 -0.90 0.366 -32.52454 12.02612 + house_rules_m | -110.5373 12.71807 -8.69 0.000 -135.5224 -85.55216 + house_sst_m | -2.842616 26.51101 -0.11 0.915 -54.92446 49.23922 + house_smallbusi_m | 37.72251 25.03569 1.51 0.132 -11.46102 86.90603 + house_soc_m | 117.0732 142.9544 0.82 0.413 -163.766 397.9124 + house_veterans_m | 25.14059 9.059921 2.77 0.006 7.342041 42.93913 + house_waysandmeans_m | -22.16636 3.691594 -6.00 0.000 -29.41863 -14.91409 +house_naturalresources_m | -65.10915 15.54832 -4.19 0.000 -95.65439 -34.56392 + house_bfs_m | 9.352984 5.797147 1.61 0.107 -2.035723 20.74169 + house_eeo_m | -28.87968 7.768264 -3.72 0.000 -44.14072 -13.61865 + house_govreform_m | 31.25432 6.440304 4.85 0.000 18.60211 43.90654 + house_ir_m | 67.02932 9.410207 7.12 0.000 48.54263 85.51602 + house_natsecur_m | -22.03899 13.96877 -1.58 0.115 -49.48116 5.403173 + house_oversight_m | -59.8371 11.37244 -5.26 0.000 -82.17867 -37.49553 + house_resources_m | -10.52564 5.912202 -1.78 0.076 -22.14037 1.089098 + house_science_m | 37.70817 15.18817 2.48 0.013 7.870451 67.54589 + house_transp_m | 27.20946 8.143531 3.34 0.001 11.21119 43.20772 + house_homeland_m | 9.186221 16.06392 0.57 0.568 -22.37194 40.74438 + _cons | 64.07989 3.933004 16.29 0.000 56.35336 71.80642 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,294 1 0 1 1 +reg pctbills_cosponsored_opp cosponsor_female i.v2 house_* democrat rookie tenure_run age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate if tag_cosponso +> r==1, robust cluster(cosponsor_v1_fix) + +Linear regression Number of obs = 4,747 + F(57, 1080) = 26.38 + Prob > F = 0.0000 + R-squared = 0.2641 + Root MSE = 14.33 + + (Std. Err. adjusted for 1,081 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust +pctbills_cosponsored_opp | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | -.0772831 .9832456 -0.08 0.937 -2.006571 1.852005 + | + v2 | + 102 | -6.735829 1.093668 -6.16 0.000 -8.881783 -4.589875 + 103 | -7.752042 2.004902 -3.87 0.000 -11.68599 -3.818097 + 104 | -11.05217 4.857114 -2.28 0.023 -20.58262 -1.521719 + 105 | -14.89754 4.051471 -3.68 0.000 -22.84718 -6.94789 + 106 | -16.33661 3.999221 -4.08 0.000 -24.18374 -8.489488 + 107 | -20.96204 4.0293 -5.20 0.000 -28.86818 -13.05589 + 108 | -19.68485 3.915738 -5.03 0.000 -27.36817 -12.00154 + 109 | -24.78378 4.104438 -6.04 0.000 -32.83736 -16.7302 + 110 | -18.38204 3.963381 -4.64 0.000 -26.15884 -10.60524 + 111 | -21.69308 3.970694 -5.46 0.000 -29.48423 -13.90193 + | + house_administration_m | 65.00578 16.35927 3.97 0.000 32.90623 97.10532 + house_agriculture_m | 35.54518 13.82532 2.57 0.010 8.417648 62.67272 + house_appropriations_m | 63.39454 7.942738 7.98 0.000 47.80959 78.97949 + house_armedservices_m | 61.49395 11.51417 5.34 0.000 38.90127 84.08662 + house_budget_m | -59.57586 24.32604 -2.45 0.014 -107.3075 -11.8442 + house_dc_m | 142.9901 148.7484 0.96 0.337 -148.8784 434.8586 + house_educlabor_m | -38.87727 8.71989 -4.46 0.000 -55.98711 -21.76742 + house_energycommerce_m | 51.99629 5.810458 8.95 0.000 40.59523 63.39736 + house_foreignaffairs_m | -90.10752 18.76757 -4.80 0.000 -126.9326 -53.28248 + house_governmentop_m | 183.8383 22.03347 8.34 0.000 140.605 227.0715 + house_intelligence_m | -134.4127 45.66775 -2.94 0.003 -224.0203 -44.80514 + house_interior_m | -38.33968 23.7601 -1.61 0.107 -84.96086 8.281503 + house_judiciary_m | 5.586427 6.630731 0.84 0.400 -7.424148 18.597 + house_mmf_m | 85.46265 23.10998 3.70 0.000 40.1171 130.8082 + house_pocs_m | -29.95082 21.11487 -1.42 0.156 -71.38164 11.48 + house_pwt_m | 4.598351 21.79138 0.21 0.833 -38.15988 47.35658 + house_rules_m | -83.15227 23.62538 -3.52 0.000 -129.5091 -36.79542 + house_sst_m | -215.9954 36.86226 -5.86 0.000 -288.3252 -143.6657 + house_smallbusi_m | -52.80403 32.05491 -1.65 0.100 -115.701 10.09292 + house_soc_m | 503.7863 134.5224 3.74 0.000 239.8315 767.7411 + house_veterans_m | 69.5536 12.38383 5.62 0.000 45.25452 93.85269 + house_waysandmeans_m | 52.10219 6.327029 8.23 0.000 39.68753 64.51685 +house_naturalresources_m | -63.24623 22.60937 -2.80 0.005 -107.6095 -18.88297 + house_bfs_m | 46.86404 9.088864 5.16 0.000 29.0302 64.69787 + house_eeo_m | -114.125 14.3158 -7.97 0.000 -142.2149 -86.03508 + house_govreform_m | 43.21767 10.45909 4.13 0.000 22.69523 63.7401 + house_ir_m | 46.24378 14.64654 3.16 0.002 17.50488 74.98267 + house_natsecur_m | 47.29051 26.05705 1.81 0.070 -3.837662 98.41868 + house_oversight_m | 67.30648 19.46855 3.46 0.001 29.10601 105.5069 + house_resources_m | 20.05473 13.88204 1.44 0.149 -7.184108 47.29356 + house_science_m | 193.66 23.43336 8.26 0.000 147.6799 239.6401 + house_transp_m | 61.6455 12.96452 4.75 0.000 36.207 87.084 + house_homeland_m | 30.05582 24.67538 1.22 0.223 -18.3613 78.47293 + democrat | 2.30411 1.319569 1.75 0.081 -.2850987 4.89332 + rookie | -3.20845 .6673931 -4.81 0.000 -4.517984 -1.898916 + tenure_run | .0726499 .115471 0.63 0.529 -.153923 .2992229 + age | .0087993 .0394614 0.22 0.824 -.0686305 .086229 + leader | 1.636241 1.075554 1.52 0.128 -.4741718 3.746654 + ivycoll | 1.024669 .9339207 1.10 0.273 -.8078361 2.857173 + black | -1.168794 .8288181 -1.41 0.159 -2.79507 .4574823 + occ0 | -.0023008 .938888 -0.00 0.998 -1.844552 1.839951 + occ1 | .6284412 1.313017 0.48 0.632 -1.947913 3.204795 + occ2 | 1.047764 .9244446 1.13 0.257 -.7661465 2.861675 + occ3 | -.6690922 1.345217 -0.50 0.619 -3.308627 1.970443 + occ4 | .1956244 .9690379 0.20 0.840 -1.705786 2.097035 + borninstate | .4566141 .6246446 0.73 0.465 -.7690405 1.682269 + _cons | -6.489764 6.546985 -0.99 0.322 -19.33602 6.356489 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,747 1 0 1 1 +reg pctbills_cosponsored_opp cosponsor_female i.v2 house_* democrat rookie tenure_run age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate if cosponsor_pa +> rty==100 & tag_cosponsor==1, robust cluster(cosponsor_v1_fix) +note: democrat omitted because of collinearity + +Linear regression Number of obs = 2,495 + F(56, 581) = 147.39 + Prob > F = 0.0000 + R-squared = 0.8345 + Root MSE = 6.5714 + + (Std. Err. adjusted for 582 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust +pctbills_cosponsored_opp | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | -2.005438 .5269561 -3.81 0.000 -3.040409 -.9704672 + | + v2 | + 102 | -1.921329 .6861047 -2.80 0.005 -3.268876 -.5737812 + 103 | .7139584 1.330017 0.54 0.592 -1.89827 3.326186 + 104 | 41.25991 3.313603 12.45 0.000 34.75181 47.76801 + 105 | 29.66467 2.716747 10.92 0.000 24.32883 35.00051 + 106 | 33.28009 2.604063 12.78 0.000 28.16557 38.39462 + 107 | 29.93152 2.683711 11.15 0.000 24.66056 35.20248 + 108 | 29.25365 2.614052 11.19 0.000 24.1195 34.38779 + 109 | 34.9884 2.780029 12.59 0.000 29.52827 40.44853 + 110 | -3.302383 2.490095 -1.33 0.185 -8.193068 1.588302 + 111 | -6.400933 2.445528 -2.62 0.009 -11.20409 -1.597781 + | + house_administration_m | 5.416904 11.61163 0.47 0.641 -17.38898 28.22279 + house_agriculture_m | -3.789049 9.493572 -0.40 0.690 -22.43495 14.85685 + house_appropriations_m | 86.30923 10.51216 8.21 0.000 65.66276 106.9557 + house_armedservices_m | 33.76293 8.760758 3.85 0.000 16.55631 50.96954 + house_budget_m | 159.3936 25.45577 6.26 0.000 109.397 209.3901 + house_dc_m | 55.41606 86.33604 0.64 0.521 -114.1527 224.9848 + house_educlabor_m | -56.92821 6.371317 -8.94 0.000 -69.44183 -44.41459 + house_energycommerce_m | -24.80782 4.166997 -5.95 0.000 -32.99203 -16.6236 + house_foreignaffairs_m | -28.08309 7.368182 -3.81 0.000 -42.55461 -13.61157 + house_governmentop_m | 42.40031 19.38827 2.19 0.029 4.320668 80.47994 + house_intelligence_m | -50.55897 44.9395 -1.13 0.261 -138.8226 37.70469 + house_interior_m | -19.39018 13.68689 -1.42 0.157 -46.272 7.491628 + house_judiciary_m | 2.780993 6.43695 0.43 0.666 -9.861533 15.42352 + house_mmf_m | 1.426295 10.94727 0.13 0.896 -20.07475 22.92734 + house_pocs_m | 15.94053 11.7409 1.36 0.175 -7.119258 39.00032 + house_pwt_m | -20.52665 11.73813 -1.75 0.081 -43.58097 2.527683 + house_rules_m | .3069253 19.69363 0.02 0.988 -38.37245 38.9863 + house_sst_m | -51.04455 20.5712 -2.48 0.013 -91.44753 -10.64156 + house_smallbusi_m | -33.81731 16.2491 -2.08 0.038 -65.73145 -1.903162 + house_soc_m | -248.8804 84.86216 -2.93 0.003 -415.5543 -82.20637 + house_veterans_m | -18.01073 8.390062 -2.15 0.032 -34.48928 -1.532183 + house_waysandmeans_m | 8.1036 4.124462 1.96 0.050 .0029275 16.20427 +house_naturalresources_m | -46.76094 9.899404 -4.72 0.000 -66.20392 -27.31796 + house_bfs_m | -18.03864 5.9435 -3.04 0.003 -29.712 -6.365277 + house_eeo_m | -127.9795 15.85971 -8.07 0.000 -159.1288 -96.83016 + house_govreform_m | -62.15402 13.40086 -4.64 0.000 -88.47405 -35.834 + house_ir_m | -95.86125 14.37732 -6.67 0.000 -124.0991 -67.62339 + house_natsecur_m | 49.10214 19.124 2.57 0.010 11.54155 86.66273 + house_oversight_m | 44.16126 13.43944 3.29 0.001 17.76546 70.55707 + house_resources_m | -52.43089 13.15904 -3.98 0.000 -78.27598 -26.58581 + house_science_m | 40.02891 19.15713 2.09 0.037 2.403245 77.65457 + house_transp_m | 25.53189 10.4673 2.44 0.015 4.973532 46.09025 + house_homeland_m | -26.80111 16.64302 -1.61 0.108 -59.48892 5.886695 + democrat | 0 (omitted) + rookie | -.7629087 .4511703 -1.69 0.091 -1.649032 .1232148 + tenure_run | -.0958376 .0874932 -1.10 0.274 -.267679 .0760039 + age | .0028667 .0300332 0.10 0.924 -.0561202 .0618535 + leader | -.2205084 .7750478 -0.28 0.776 -1.742745 1.301728 + ivycoll | .0570857 .6355742 0.09 0.928 -1.191217 1.305389 + black | -3.311359 .5709505 -5.80 0.000 -4.432737 -2.189981 + occ0 | -.3230162 .7548951 -0.43 0.669 -1.805672 1.15964 + occ1 | -.5285558 .8013563 -0.66 0.510 -2.102464 1.045352 + occ2 | .5770673 .6968591 0.83 0.408 -.7916027 1.945737 + occ3 | .8720197 1.146057 0.76 0.447 -1.378899 3.122938 + occ4 | .8992395 1.024524 0.88 0.380 -1.112982 2.911461 + borninstate | .377599 .4735456 0.80 0.426 -.5524707 1.307669 + _cons | 32.49408 3.839277 8.46 0.000 24.95353 40.03463 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,495 1 0 1 1 +reg pctbills_cosponsored_opp cosponsor_female i.v2 house_* democrat rookie tenure_run age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate if cosponsor_pa +> rty==200 & tag_cosponsor==1, robust cluster(cosponsor_v1_fix) +note: democrat omitted because of collinearity + +Linear regression Number of obs = 2,243 + F(56, 509) = 241.15 + Prob > F = 0.0000 + R-squared = 0.8701 + Root MSE = 6.2793 + + (Std. Err. adjusted for 510 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust +pctbills_cosponsored_opp | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | 1.588357 .939957 1.69 0.092 -.258316 3.43503 + | + v2 | + 102 | 6.528611 .904738 7.22 0.000 4.751131 8.306092 + 103 | 4.793633 1.629695 2.94 0.003 1.591876 7.995389 + 104 | -34.21505 3.016272 -11.34 0.000 -40.14092 -28.28917 + 105 | -36.28827 2.405611 -15.08 0.000 -41.01442 -31.56212 + 106 | -40.64685 2.175666 -18.68 0.000 -44.92124 -36.37246 + 107 | -39.31981 2.209426 -17.80 0.000 -43.66053 -34.97909 + 108 | -38.52746 2.192647 -17.57 0.000 -42.83522 -34.21971 + 109 | -44.00324 2.260519 -19.47 0.000 -48.44433 -39.56214 + 110 | 1.36908 2.438637 0.56 0.575 -3.421954 6.160113 + 111 | 2.056402 2.55155 0.81 0.421 -2.956465 7.069268 + | + house_administration_m | -34.00276 11.22535 -3.03 0.003 -56.05648 -11.94905 + house_agriculture_m | 12.91686 7.473614 1.73 0.085 -1.766064 27.59979 + house_appropriations_m | -74.8259 4.575915 -16.35 0.000 -83.8159 -65.83589 + house_armedservices_m | -26.47779 7.887225 -3.36 0.001 -41.97331 -10.98227 + house_budget_m | -32.00633 11.9815 -2.67 0.008 -55.54561 -8.46704 + house_dc_m | -183.4627 81.55811 -2.25 0.025 -343.6947 -23.23077 + house_educlabor_m | -4.268809 6.239652 -0.68 0.494 -16.52745 7.989833 + house_energycommerce_m | 29.67806 3.722991 7.97 0.000 22.36374 36.99238 + house_foreignaffairs_m | 3.027314 11.2601 0.27 0.788 -19.09468 25.14931 + house_governmentop_m | -22.02321 13.54756 -1.63 0.105 -48.63923 4.592808 + house_intelligence_m | -93.50887 33.56582 -2.79 0.006 -159.4535 -27.56428 + house_interior_m | -49.35267 19.8791 -2.48 0.013 -88.40786 -10.29748 + house_judiciary_m | -47.29763 4.124867 -11.47 0.000 -55.40149 -39.19377 + house_mmf_m | 30.12933 11.26186 2.68 0.008 8.003884 52.25477 + house_pocs_m | 41.60412 14.34049 2.90 0.004 13.43028 69.77796 + house_pwt_m | -7.989315 11.56801 -0.69 0.490 -30.71625 14.73762 + house_rules_m | -103.8586 12.41306 -8.37 0.000 -128.2458 -79.47148 + house_sst_m | 9.325529 28.67321 0.33 0.745 -47.00687 65.65793 + house_smallbusi_m | 50.85058 25.42931 2.00 0.046 .8912613 100.8099 + house_soc_m | 115.2742 138.1334 0.83 0.404 -156.1077 386.656 + house_veterans_m | 27.73105 9.331407 2.97 0.003 9.398239 46.06387 + house_waysandmeans_m | -17.9004 3.829158 -4.67 0.000 -25.4233 -10.3775 +house_naturalresources_m | -71.63193 14.66242 -4.89 0.000 -100.4382 -42.82562 + house_bfs_m | 3.654062 5.772464 0.63 0.527 -7.686726 14.99485 + house_eeo_m | -26.46546 7.417958 -3.57 0.000 -41.03904 -11.89187 + house_govreform_m | 30.5034 6.260625 4.87 0.000 18.20356 42.80325 + house_ir_m | 62.96738 8.439147 7.46 0.000 46.38753 79.54723 + house_natsecur_m | -18.19522 13.76294 -1.32 0.187 -45.23437 8.843938 + house_oversight_m | -57.51764 10.18273 -5.65 0.000 -77.52299 -37.51229 + house_resources_m | -12.21734 5.662745 -2.16 0.031 -23.34257 -1.092112 + house_science_m | 33.42167 14.44834 2.31 0.021 5.035936 61.8074 + house_transp_m | 27.3315 7.795496 3.51 0.000 12.01619 42.64681 + house_homeland_m | 6.48847 16.00903 0.41 0.685 -24.96343 37.94037 + democrat | 0 (omitted) + rookie | -.247117 .4348436 -0.57 0.570 -1.101426 .6071921 + tenure_run | .3179865 .0830825 3.83 0.000 .1547596 .4812134 + age | -.0361721 .02672 -1.35 0.176 -.0886671 .0163229 + leader | .4599669 .6417699 0.72 0.474 -.8008771 1.720811 + ivycoll | .773116 .7777677 0.99 0.321 -.754914 2.301146 + black | 1.030199 1.941209 0.53 0.596 -2.783568 4.843967 + occ0 | 1.037624 .6744169 1.54 0.125 -.2873596 2.362607 + occ1 | 1.315385 1.184383 1.11 0.267 -1.011496 3.642266 + occ2 | .9395006 .6702838 1.40 0.162 -.3773628 2.256364 + occ3 | -1.317932 .8827523 -1.49 0.136 -3.052219 .4163541 + occ4 | .7559982 .5884153 1.28 0.199 -.4000235 1.91202 + borninstate | -.2772263 .4572882 -0.61 0.545 -1.175631 .6211784 + _cons | 60.11942 3.760548 15.99 0.000 52.73131 67.50753 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,243 1 0 1 1 +reg pctbills_cosponsored_opp cosponsor_female i.v2 house_* region_NE region_MW region_WE pct_b pct_u pct_f pct_a lninc lnpden if tag_cosponsor==1, robust cluster(c +> osponsor_v1_fix) + +Linear regression Number of obs = 4,850 + F(53, 1096) = 25.14 + Prob > F = 0.0000 + R-squared = 0.2492 + Root MSE = 14.525 + + (Std. Err. adjusted for 1,097 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust +pctbills_cosponsored_opp | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | -.5444424 .8857145 -0.61 0.539 -2.28233 1.193445 + | + v2 | + 102 | -5.994789 1.059798 -5.66 0.000 -8.074252 -3.915326 + 103 | -8.308281 2.247732 -3.70 0.000 -12.71863 -3.897936 + 104 | -5.521748 4.895818 -1.13 0.260 -15.12798 4.084486 + 105 | -10.25579 4.008392 -2.56 0.011 -18.12078 -2.390801 + 106 | -11.65093 3.868 -3.01 0.003 -19.24045 -4.061411 + 107 | -15.96084 3.903486 -4.09 0.000 -23.61999 -8.301692 + 108 | -32.01943 5.962141 -5.37 0.000 -43.71793 -20.32093 + 109 | -37.13004 6.119928 -6.07 0.000 -49.13814 -25.12194 + 110 | -32.65695 5.992469 -5.45 0.000 -44.41496 -20.89894 + 111 | -35.26644 5.985114 -5.89 0.000 -47.01001 -23.52286 + | + house_administration_m | 68.35996 15.97652 4.28 0.000 37.01193 99.70799 + house_agriculture_m | 29.74509 14.03968 2.12 0.034 2.197401 57.29278 + house_appropriations_m | 50.87857 7.915992 6.43 0.000 35.34636 66.41078 + house_armedservices_m | 40.9431 14.71365 2.78 0.005 12.07299 69.8132 + house_budget_m | -69.328 24.10979 -2.88 0.004 -116.6346 -22.02143 + house_dc_m | 153.2109 140.279 1.09 0.275 -122.0347 428.4566 + house_educlabor_m | -40.88503 7.990844 -5.12 0.000 -56.56411 -25.20594 + house_energycommerce_m | 51.74404 5.563214 9.30 0.000 40.82828 62.65979 + house_foreignaffairs_m | -77.25792 19.90502 -3.88 0.000 -116.3142 -38.20167 + house_governmentop_m | 183.3126 21.46368 8.54 0.000 141.198 225.4271 + house_intelligence_m | -73.60345 46.53467 -1.58 0.114 -164.9106 17.70365 + house_interior_m | -29.75989 22.92212 -1.30 0.194 -74.73609 15.21631 + house_judiciary_m | -8.207902 6.974962 -1.18 0.240 -21.89369 5.477887 + house_mmf_m | 81.87464 21.92293 3.73 0.000 38.85897 124.8903 + house_pocs_m | -31.3465 20.4283 -1.53 0.125 -71.4295 8.736499 + house_pwt_m | -.1892836 11.78806 -0.02 0.987 -23.31901 22.94044 + house_rules_m | -82.63082 23.62742 -3.50 0.000 -128.9909 -36.27074 + house_sst_m | -230.8535 35.37245 -6.53 0.000 -300.2588 -161.4481 + house_smallbusi_m | -69.5943 31.36885 -2.22 0.027 -131.1441 -8.044523 + house_soc_m | 563.3824 148.0845 3.80 0.000 272.8211 853.9436 + house_veterans_m | 63.49319 11.55997 5.49 0.000 40.81102 86.17537 + house_waysandmeans_m | 41.65294 5.895039 7.07 0.000 30.08611 53.21978 +house_naturalresources_m | -9.354912 29.96324 -0.31 0.755 -68.14672 49.43689 + house_bfs_m | 49.24449 8.741523 5.63 0.000 32.09248 66.3965 + house_eeo_m | -113.5822 14.60178 -7.78 0.000 -142.2328 -84.93161 + house_govreform_m | 39.93201 11.24583 3.55 0.000 17.86622 61.9978 + house_ir_m | 19.07338 17.44085 1.09 0.274 -15.14785 53.29461 + house_natsecur_m | 44.84268 25.98229 1.73 0.085 -6.137979 95.82334 + house_oversight_m | 38.39379 20.29391 1.89 0.059 -1.425512 78.21309 + house_resources_m | 28.27748 14.56227 1.94 0.052 -.2956009 56.85056 + house_science_m | 195.9161 24.36408 8.04 0.000 148.1106 243.7216 + house_transp_m | 47.39981 13.68917 3.46 0.001 20.53986 74.25976 + house_homeland_m | 46.17658 25.76822 1.79 0.073 -4.384034 96.7372 + region_NE | 1.759611 1.000674 1.76 0.079 -.2038426 3.723064 + region_MW | .5579403 .9175117 0.61 0.543 -1.242338 2.358218 + region_WE | -2.746365 1.079826 -2.54 0.011 -4.865125 -.6276048 + pct_b | .2469188 2.090468 0.12 0.906 -3.854854 4.348691 + pct_u | 5.113341 2.129379 2.40 0.017 .935221 9.291461 + pct_f | 11.41993 5.054573 2.26 0.024 1.502201 21.33767 + pct_a | 11.61671 8.38823 1.38 0.166 -4.84209 28.07552 + lninc | -.7318043 1.756824 -0.42 0.677 -4.178922 2.715313 + lnpden | -1.012137 .3066453 -3.30 0.001 -1.613816 -.4104593 + _cons | 8.579045 18.53202 0.46 0.644 -27.7832 44.94129 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,850 1 0 1 1 +reg pctbills_cosponsored_opp cosponsor_female i.v2 house_* region_NE region_MW region_WE pct_b pct_u pct_f pct_a lninc lnpden if cosponsor_party==100 & tag_cospons +> or==1, robust cluster(cosponsor_v1_fix) + +Linear regression Number of obs = 2,547 + F(53, 586) = 156.35 + Prob > F = 0.0000 + R-squared = 0.8434 + Root MSE = 6.417 + + (Std. Err. adjusted for 587 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust +pctbills_cosponsored_opp | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | -1.318963 .5361268 -2.46 0.014 -2.371928 -.2659993 + | + v2 | + 102 | -2.221673 .6394216 -3.47 0.001 -3.47751 -.9658361 + 103 | -.4550286 1.419247 -0.32 0.749 -3.242459 2.332401 + 104 | 37.71791 3.228311 11.68 0.000 31.37744 44.05838 + 105 | 28.42977 2.610076 10.89 0.000 23.30352 33.55601 + 106 | 31.27518 2.386438 13.11 0.000 26.58817 35.96219 + 107 | 27.86406 2.470913 11.28 0.000 23.01114 32.71699 + 108 | 30.39829 3.530773 8.61 0.000 23.46378 37.3328 + 109 | 36.06971 3.619635 9.97 0.000 28.96068 43.17875 + 110 | -1.655642 3.44599 -0.48 0.631 -8.423636 5.112352 + 111 | -3.947612 3.448933 -1.14 0.253 -10.72139 2.826163 + | + house_administration_m | 1.683935 10.71173 0.16 0.875 -19.35412 22.72199 + house_agriculture_m | -14.98315 9.515198 -1.57 0.116 -33.6712 3.704889 + house_appropriations_m | 76.67689 9.036314 8.49 0.000 58.92938 94.42439 + house_armedservices_m | 15.63512 8.000164 1.95 0.051 -.0773626 31.34761 + house_budget_m | 140.6106 23.78465 5.91 0.000 93.897 187.3241 + house_dc_m | 103.4516 80.54119 1.28 0.199 -54.73297 261.6361 + house_educlabor_m | -49.55225 5.511604 -8.99 0.000 -60.37715 -38.72734 + house_energycommerce_m | -22.5079 3.992525 -5.64 0.000 -30.3493 -14.6665 + house_foreignaffairs_m | -6.784923 7.052203 -0.96 0.336 -20.63559 7.065748 + house_governmentop_m | 38.87767 19.03306 2.04 0.042 1.496346 76.259 + house_intelligence_m | -41.4289 41.31051 -1.00 0.316 -122.5636 39.70579 + house_interior_m | -13.0248 13.14276 -0.99 0.322 -38.83744 12.78784 + house_judiciary_m | 12.78511 6.236971 2.05 0.041 .5355752 25.03465 + house_mmf_m | 13.56765 10.39056 1.31 0.192 -6.839627 33.97493 + house_pocs_m | 18.06976 10.57532 1.71 0.088 -2.700389 38.83991 + house_pwt_m | -29.62017 5.352978 -5.53 0.000 -40.13353 -19.10682 + house_rules_m | 10.24795 18.59209 0.55 0.582 -26.26729 46.76319 + house_sst_m | -54.41297 19.10522 -2.85 0.005 -91.93602 -16.88993 + house_smallbusi_m | -22.07607 16.32847 -1.35 0.177 -54.14551 9.993373 + house_soc_m | -230.3016 93.29606 -2.47 0.014 -413.537 -47.06626 + house_veterans_m | -19.57664 7.473283 -2.62 0.009 -34.25432 -4.898965 + house_waysandmeans_m | 4.87476 3.753188 1.30 0.195 -2.496577 12.2461 +house_naturalresources_m | -33.07164 7.723899 -4.28 0.000 -48.24154 -17.90175 + house_bfs_m | -22.26807 6.082512 -3.66 0.000 -34.21425 -10.3219 + house_eeo_m | -100.4286 16.05023 -6.26 0.000 -131.9516 -68.9056 + house_govreform_m | -48.05472 11.82967 -4.06 0.000 -71.28842 -24.82101 + house_ir_m | -75.54907 9.129175 -8.28 0.000 -93.47896 -57.61919 + house_natsecur_m | 17.80522 17.92326 0.99 0.321 -17.39644 53.00687 + house_oversight_m | 40.42412 11.89449 3.40 0.001 17.0631 63.78513 + house_resources_m | -22.52371 11.93303 -1.89 0.060 -45.96043 .9130113 + house_science_m | 39.06147 17.007 2.30 0.022 5.659364 72.46357 + house_transp_m | 17.26897 9.717315 1.78 0.076 -1.816037 36.35397 + house_homeland_m | -26.73501 14.89768 -1.79 0.073 -55.99437 2.524345 + region_NE | -2.697112 .670457 -4.02 0.000 -4.013903 -1.380321 + region_MW | -3.426931 .7104323 -4.82 0.000 -4.822235 -2.031628 + region_WE | -3.443885 .8016082 -4.30 0.000 -5.01826 -1.86951 + pct_b | -7.609677 1.642576 -4.63 0.000 -10.83573 -4.383625 + pct_u | -5.547439 1.51249 -3.67 0.000 -8.518001 -2.576878 + pct_f | -8.255409 2.823797 -2.92 0.004 -13.8014 -2.709414 + pct_a | -.7932594 5.742717 -0.14 0.890 -12.07207 10.48555 + lninc | -.5646692 1.125756 -0.50 0.616 -2.775677 1.646339 + lnpden | .1497131 .1757393 0.85 0.395 -.1954425 .4948688 + _cons | 43.43647 11.87054 3.66 0.000 20.12248 66.75046 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,547 1 0 1 1 +reg pctbills_cosponsored_opp cosponsor_female i.v2 house_* region_NE region_MW region_WE pct_b pct_u pct_f pct_a lninc lnpden if cosponsor_party==200 & tag_cospons +> or==1, robust cluster(cosponsor_v1_fix) + +Linear regression Number of obs = 2,294 + F(53, 520) = 241.03 + Prob > F = 0.0000 + R-squared = 0.8687 + Root MSE = 6.3288 + + (Std. Err. adjusted for 521 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust +pctbills_cosponsored_opp | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | .9278469 .8557505 1.08 0.279 -.7533062 2.609 + | + v2 | + 102 | 6.339205 .9147741 6.93 0.000 4.542098 8.136312 + 103 | 3.260368 1.876814 1.74 0.083 -.4267015 6.947438 + 104 | -34.27541 3.090325 -11.09 0.000 -40.34646 -28.20435 + 105 | -35.29468 2.565263 -13.76 0.000 -40.33423 -30.25512 + 106 | -39.28275 2.426568 -16.19 0.000 -44.04983 -34.51567 + 107 | -37.90537 2.462071 -15.40 0.000 -42.7422 -33.06854 + 108 | -43.98281 4.153201 -10.59 0.000 -52.14192 -35.8237 + 109 | -48.63586 4.202127 -11.57 0.000 -56.89109 -40.38063 + 110 | -4.177305 4.500924 -0.93 0.354 -13.01953 4.664924 + 111 | -3.69018 4.709367 -0.78 0.434 -12.9419 5.561544 + | + house_administration_m | -29.43823 11.15636 -2.64 0.009 -51.35531 -7.521152 + house_agriculture_m | 16.3169 7.734883 2.11 0.035 1.121441 31.51236 + house_appropriations_m | -75.41121 4.942975 -15.26 0.000 -85.12186 -65.70055 + house_armedservices_m | -17.49045 8.853825 -1.98 0.049 -34.88411 -.0967881 + house_budget_m | -33.9159 11.71423 -2.90 0.004 -56.92893 -10.90287 + house_dc_m | -180.1087 85.12831 -2.12 0.035 -347.3464 -12.87108 + house_educlabor_m | -6.081603 6.414091 -0.95 0.343 -18.68232 6.519113 + house_energycommerce_m | 21.2418 4.364446 4.87 0.000 12.66769 29.81591 + house_foreignaffairs_m | -6.963276 11.53961 -0.60 0.546 -29.63326 15.70671 + house_governmentop_m | -21.71504 15.48667 -1.40 0.161 -52.13916 8.709088 + house_intelligence_m | -74.37591 30.93204 -2.40 0.017 -135.143 -13.6088 + house_interior_m | -37.90511 19.75533 -1.92 0.056 -76.71518 .9049636 + house_judiciary_m | -49.03544 4.727408 -10.37 0.000 -58.32261 -39.74828 + house_mmf_m | 36.62296 11.04641 3.32 0.001 14.92188 58.32404 + house_pocs_m | 34.51107 15.74238 2.19 0.029 3.584583 65.43755 + house_pwt_m | -10.73392 11.42903 -0.94 0.348 -33.18667 11.71883 + house_rules_m | -99.35572 12.64658 -7.86 0.000 -124.2004 -74.51106 + house_sst_m | -10.19285 27.23041 -0.37 0.708 -63.68799 43.30229 + house_smallbusi_m | 17.58628 24.41498 0.72 0.472 -30.37783 65.5504 + house_soc_m | 115.0431 127.0358 0.91 0.366 -134.5233 364.6094 + house_veterans_m | 17.40958 8.387028 2.08 0.038 .932955 33.8862 + house_waysandmeans_m | -20.20381 3.34907 -6.03 0.000 -26.78318 -13.62444 +house_naturalresources_m | -57.90281 16.47797 -3.51 0.000 -90.27438 -25.53124 + house_bfs_m | 8.528146 5.72105 1.49 0.137 -2.711065 19.76736 + house_eeo_m | -24.08439 7.552765 -3.19 0.002 -38.92207 -9.246703 + house_govreform_m | 23.47554 5.984086 3.92 0.000 11.71958 35.23149 + house_ir_m | 44.0102 8.339486 5.28 0.000 27.62698 60.39343 + house_natsecur_m | -1.313319 13.23059 -0.10 0.921 -27.3053 24.67866 + house_oversight_m | -57.81375 11.33074 -5.10 0.000 -80.0734 -35.55409 + house_resources_m | -7.701674 7.262409 -1.06 0.289 -21.96894 6.565593 + house_science_m | 37.50148 13.91716 2.69 0.007 10.16071 64.84226 + house_transp_m | 22.12042 8.169179 2.71 0.007 6.071766 38.16907 + house_homeland_m | 9.71434 14.66226 0.66 0.508 -19.0902 38.51888 + region_NE | 5.098582 .9437236 5.40 0.000 3.244603 6.952562 + region_MW | 1.966768 .6488178 3.03 0.003 .6921419 3.241395 + region_WE | -.2702841 .818411 -0.33 0.741 -1.878082 1.337514 + pct_b | 7.673211 2.93309 2.62 0.009 1.911049 13.43537 + pct_u | 1.815584 1.469727 1.24 0.217 -1.071748 4.702917 + pct_f | 14.2689 3.809171 3.75 0.000 6.785646 21.75216 + pct_a | 15.95287 5.88797 2.71 0.007 4.385733 27.52 + lninc | 2.111253 2.034812 1.04 0.300 -1.88621 6.108716 + lnpden | -.4034093 .2364381 -1.71 0.089 -.8679005 .061082 + _cons | 37.22834 20.47108 1.82 0.070 -2.987853 77.44453 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,294 1 0 1 1 +reg pctbills_cosponsored_opp cosponsor_female i.v2 house_* democrat rookie tenure_run age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate region_NE region +> _MW region_WE pct_b pct_u pct_f pct_a lninc lnpden if tag_cosponsor==1, robust cluster(cosponsor_v1_fix) + +Linear regression Number of obs = 4,747 + F(66, 1080) = 24.66 + Prob > F = 0.0000 + R-squared = 0.2719 + Root MSE = 14.268 + + (Std. Err. adjusted for 1,081 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust +pctbills_cosponsored_opp | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | .2891358 .9429437 0.31 0.759 -1.561073 2.139345 + | + v2 | + 102 | -6.735145 1.109804 -6.07 0.000 -8.912762 -4.557529 + 103 | -6.644054 2.159864 -3.08 0.002 -10.88206 -2.40605 + 104 | -9.430562 4.926993 -1.91 0.056 -19.09812 .2370011 + 105 | -13.17139 4.126019 -3.19 0.001 -21.26731 -5.075466 + 106 | -14.51327 4.031447 -3.60 0.000 -22.42362 -6.602914 + 107 | -19.03417 4.069486 -4.68 0.000 -27.01917 -11.04917 + 108 | -37.98022 5.888333 -6.45 0.000 -49.53409 -26.42635 + 109 | -43.15003 6.055673 -7.13 0.000 -55.03224 -31.26781 + 110 | -37.41061 5.966769 -6.27 0.000 -49.11838 -25.70284 + 111 | -40.74768 5.985858 -6.81 0.000 -52.49291 -29.00245 + | + house_administration_m | 66.68981 16.63987 4.01 0.000 34.03967 99.33996 + house_agriculture_m | 28.27601 14.00966 2.02 0.044 .7867812 55.76524 + house_appropriations_m | 63.65077 8.003427 7.95 0.000 47.94674 79.3548 + house_armedservices_m | 62.87516 11.7908 5.33 0.000 39.73969 86.01064 + house_budget_m | -57.40492 24.4137 -2.35 0.019 -105.3086 -9.501261 + house_dc_m | 179.6143 143.2409 1.25 0.210 -101.4477 460.6763 + house_educlabor_m | -38.49884 8.616275 -4.47 0.000 -55.40538 -21.5923 + house_energycommerce_m | 50.7339 5.743509 8.83 0.000 39.4642 62.00361 + house_foreignaffairs_m | -90.74956 19.08601 -4.75 0.000 -128.1994 -53.2997 + house_governmentop_m | 183.2114 22.01332 8.32 0.000 140.0177 226.4052 + house_intelligence_m | -130.4345 45.92013 -2.84 0.005 -220.5373 -40.33175 + house_interior_m | -35.3143 23.17517 -1.52 0.128 -80.78777 10.15916 + house_judiciary_m | 6.88861 6.737509 1.02 0.307 -6.331479 20.1087 + house_mmf_m | 82.33274 23.23823 3.54 0.000 36.73555 127.9299 + house_pocs_m | -32.34522 21.51843 -1.50 0.133 -74.56788 9.87744 + house_pwt_m | 4.178013 21.61516 0.19 0.847 -38.23445 46.59048 + house_rules_m | -77.71344 23.93292 -3.25 0.001 -124.6737 -30.75316 + house_sst_m | -221.7014 36.98275 -5.99 0.000 -294.2676 -149.1352 + house_smallbusi_m | -61.96762 32.1053 -1.93 0.054 -124.9634 1.028213 + house_soc_m | 510.5015 136.9551 3.73 0.000 241.7734 779.2296 + house_veterans_m | 62.93426 12.26261 5.13 0.000 38.87302 86.99551 + house_waysandmeans_m | 50.97008 6.28952 8.10 0.000 38.62902 63.31115 +house_naturalresources_m | -57.4292 23.36718 -2.46 0.014 -103.2794 -11.57899 + house_bfs_m | 45.65077 8.934749 5.11 0.000 28.11934 63.18221 + house_eeo_m | -111.8437 14.26002 -7.84 0.000 -139.8241 -83.86319 + house_govreform_m | 40.7446 10.42137 3.91 0.000 20.29618 61.19302 + house_ir_m | 43.55956 14.52211 3.00 0.003 15.06482 72.05429 + house_natsecur_m | 48.01824 25.66158 1.87 0.062 -2.333964 98.37044 + house_oversight_m | 68.95505 19.14398 3.60 0.000 31.39145 106.5187 + house_resources_m | 21.95707 14.25008 1.54 0.124 -6.003907 49.91804 + house_science_m | 198.882 23.4103 8.50 0.000 152.9472 244.8169 + house_transp_m | 57.56424 12.88109 4.47 0.000 32.28944 82.83904 + house_homeland_m | 36.2239 25.68547 1.41 0.159 -14.17519 86.62298 + democrat | 2.677754 1.316348 2.03 0.042 .0948637 5.260644 + rookie | -3.218906 .6713622 -4.79 0.000 -4.536228 -1.901584 + tenure_run | .0825307 .1152722 0.72 0.474 -.1436522 .3087136 + age | .0179544 .0382328 0.47 0.639 -.0570646 .0929733 + leader | 1.505589 1.072645 1.40 0.161 -.5991166 3.610294 + ivycoll | .6997288 .9440195 0.74 0.459 -1.152591 2.552049 + black | -.7480844 1.407665 -0.53 0.595 -3.510153 2.013984 + occ0 | -.1868643 .944104 -0.20 0.843 -2.03935 1.665622 + occ1 | .2462845 1.279994 0.19 0.847 -2.265272 2.757841 + occ2 | 1.192713 .921227 1.29 0.196 -.6148849 3.00031 + occ3 | -.6503919 1.314921 -0.49 0.621 -3.230482 1.929698 + occ4 | .0394135 .9609429 0.04 0.967 -1.846113 1.92494 + borninstate | .2469368 .6207738 0.40 0.691 -.9711225 1.464996 + region_NE | 2.391988 1.016421 2.35 0.019 .3976037 4.386372 + region_MW | .7910234 .9178013 0.86 0.389 -1.009852 2.591899 + region_WE | -1.935679 1.058544 -1.83 0.068 -4.012715 .1413578 + pct_b | 1.175614 3.18444 0.37 0.712 -5.072775 7.424004 + pct_u | 5.544045 2.017767 2.75 0.006 1.584857 9.503232 + pct_f | 10.34398 5.233321 1.98 0.048 .0753476 20.61261 + pct_a | 10.9699 8.498591 1.29 0.197 -5.705725 27.64552 + lninc | -.6781335 1.636855 -0.41 0.679 -3.889909 2.533642 + lnpden | -1.264486 .2956015 -4.28 0.000 -1.844505 -.6844679 + _cons | .8109557 17.97773 0.05 0.964 -34.46428 36.08619 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,747 1 0 1 1 +reg pctbills_cosponsored_opp cosponsor_female i.v2 house_* democrat rookie tenure_run age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate region_NE region +> _MW region_WE pct_b pct_u pct_f pct_a lninc lnpden if cosponsor_party==100 & tag_cosponsor==1, robust cluster(cosponsor_v1_fix) +note: democrat omitted because of collinearity + +Linear regression Number of obs = 2,495 + F(65, 581) = 146.02 + Prob > F = 0.0000 + R-squared = 0.8490 + Root MSE = 6.2886 + + (Std. Err. adjusted for 582 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust +pctbills_cosponsored_opp | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | -1.244711 .5599066 -2.22 0.027 -2.344399 -.1450235 + | + v2 | + 102 | -1.958677 .6294198 -3.11 0.002 -3.194892 -.7224612 + 103 | -.081303 1.360734 -0.06 0.952 -2.753861 2.591255 + 104 | 39.61499 3.167712 12.51 0.000 33.39342 45.83655 + 105 | 29.09494 2.585329 11.25 0.000 24.01721 34.17267 + 106 | 32.66914 2.470096 13.23 0.000 27.81773 37.52054 + 107 | 29.45716 2.541842 11.59 0.000 24.46485 34.44948 + 108 | 31.59727 3.569179 8.85 0.000 24.5872 38.60733 + 109 | 37.38719 3.692219 10.13 0.000 30.13547 44.63891 + 110 | -.9587663 3.545834 -0.27 0.787 -7.922982 6.005449 + 111 | -3.479108 3.549959 -0.98 0.327 -10.45142 3.493208 + | + house_administration_m | -.0146433 10.79091 -0.00 0.999 -21.2086 21.17931 + house_agriculture_m | -19.92071 9.165212 -2.17 0.030 -37.9217 -1.919729 + house_appropriations_m | 89.51331 10.39176 8.61 0.000 69.10332 109.9233 + house_armedservices_m | 18.17735 8.493505 2.14 0.033 1.495636 34.85906 + house_budget_m | 128.8366 23.6016 5.46 0.000 82.48177 175.1915 + house_dc_m | 92.46025 79.26061 1.17 0.244 -63.21198 248.1325 + house_educlabor_m | -48.66143 5.41229 -8.99 0.000 -59.29146 -38.03139 + house_energycommerce_m | -23.74549 3.917533 -6.06 0.000 -31.43974 -16.05123 + house_foreignaffairs_m | -.822907 7.518843 -0.11 0.913 -15.59033 13.94452 + house_governmentop_m | 43.01431 19.16426 2.24 0.025 5.374647 80.65398 + house_intelligence_m | -53.74134 42.41703 -1.27 0.206 -137.0507 29.56806 + house_interior_m | -11.70655 12.91476 -0.91 0.365 -37.07186 13.65876 + house_judiciary_m | 9.642476 6.135965 1.57 0.117 -2.408898 21.69385 + house_mmf_m | 8.123018 10.69677 0.76 0.448 -12.88604 29.13207 + house_pocs_m | 18.79861 10.86552 1.73 0.084 -2.541868 40.13908 + house_pwt_m | -22.11561 11.86212 -1.86 0.063 -45.41348 1.182258 + house_rules_m | -.5238211 18.33915 -0.03 0.977 -36.54292 35.49528 + house_sst_m | -38.78877 19.65281 -1.97 0.049 -77.38798 -.1895634 + house_smallbusi_m | -20.18705 15.24511 -1.32 0.186 -50.1293 9.755186 + house_soc_m | -224.3122 86.52266 -2.59 0.010 -394.2475 -54.3769 + house_veterans_m | -20.027 7.648636 -2.62 0.009 -35.04935 -5.004659 + house_waysandmeans_m | 4.837745 3.8519 1.26 0.210 -2.727599 12.40309 +house_naturalresources_m | -30.8251 9.723412 -3.17 0.002 -49.92242 -11.72778 + house_bfs_m | -20.52001 5.688343 -3.61 0.000 -31.69223 -9.347789 + house_eeo_m | -111.4649 15.38873 -7.24 0.000 -141.6893 -81.24063 + house_govreform_m | -49.39878 11.85046 -4.17 0.000 -72.67374 -26.12382 + house_ir_m | -68.08922 13.48239 -5.05 0.000 -94.56938 -41.60906 + house_natsecur_m | 31.90478 17.85019 1.79 0.074 -3.153982 66.96354 + house_oversight_m | 45.3078 12.45062 3.64 0.000 20.85409 69.76151 + house_resources_m | -28.39027 12.4171 -2.29 0.023 -52.77815 -4.002392 + house_science_m | 26.82828 17.40627 1.54 0.124 -7.358593 61.01515 + house_transp_m | 21.61057 9.43682 2.29 0.022 3.076135 40.14501 + house_homeland_m | -22.42123 14.70911 -1.52 0.128 -51.31074 6.468281 + democrat | 0 (omitted) + rookie | -.5474751 .419139 -1.31 0.192 -1.370687 .2757371 + tenure_run | -.111253 .0819711 -1.36 0.175 -.2722487 .0497427 + age | .0120406 .0285859 0.42 0.674 -.0441036 .0681849 + leader | -.222595 .7044068 -0.32 0.752 -1.606089 1.160899 + ivycoll | .1286838 .5942771 0.22 0.829 -1.038509 1.295877 + black | -3.685448 1.036695 -3.55 0.000 -5.721575 -1.649321 + occ0 | .1642128 .7513737 0.22 0.827 -1.311527 1.639952 + occ1 | -.1047427 .8259866 -0.13 0.899 -1.727026 1.517541 + occ2 | .489228 .6426382 0.76 0.447 -.7729491 1.751405 + occ3 | .6991184 1.068257 0.65 0.513 -1.398998 2.797235 + occ4 | 1.186212 .9980859 1.19 0.235 -.7740844 3.146508 + borninstate | .591975 .4834545 1.22 0.221 -.3575563 1.541506 + region_NE | -2.544571 .6714047 -3.79 0.000 -3.863247 -1.225895 + region_MW | -2.970754 .7006004 -4.24 0.000 -4.346772 -1.594736 + region_WE | -2.701479 .8138619 -3.32 0.001 -4.299949 -1.10301 + pct_b | -1.072084 2.231963 -0.48 0.631 -5.455784 3.311616 + pct_u | -5.751283 1.46575 -3.92 0.000 -8.630097 -2.872469 + pct_f | -7.958508 2.868479 -2.77 0.006 -13.59236 -2.324657 + pct_a | -.2532446 5.72585 -0.04 0.965 -11.49913 10.99264 + lninc | -.4281928 1.160381 -0.37 0.712 -2.707245 1.85086 + lnpden | .1358573 .1807258 0.75 0.453 -.2190981 .4908128 + _cons | 40.16461 12.22973 3.28 0.001 16.14475 64.18448 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,495 1 0 1 1 +reg pctbills_cosponsored_opp cosponsor_female i.v2 house_* democrat rookie tenure_run age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate region_NE region +> _MW region_WE pct_b pct_u pct_f pct_a lninc lnpden if cosponsor_party==200 & tag_cosponsor==1, robust cluster(cosponsor_v1_fix) +note: democrat omitted because of collinearity + +Linear regression Number of obs = 2,243 + F(65, 509) = 225.65 + Prob > F = 0.0000 + R-squared = 0.8793 + Root MSE = 6.0647 + + (Std. Err. adjusted for 510 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust +pctbills_cosponsored_opp | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | 1.32403 .8717022 1.52 0.129 -.3885471 3.036607 + | + v2 | + 102 | 6.162624 .9265142 6.65 0.000 4.342362 7.982887 + 103 | 4.140828 1.7521 2.36 0.018 .6985891 7.583067 + 104 | -33.8825 3.012672 -11.25 0.000 -39.80131 -27.9637 + 105 | -34.83063 2.547747 -13.67 0.000 -39.83603 -29.82524 + 106 | -38.5389 2.394116 -16.10 0.000 -43.24246 -33.83533 + 107 | -37.23836 2.44127 -15.25 0.000 -42.03456 -32.44215 + 108 | -42.70866 3.975291 -10.74 0.000 -50.51865 -34.89866 + 109 | -47.89347 4.019731 -11.91 0.000 -55.79077 -39.99616 + 110 | -2.878925 4.168485 -0.69 0.490 -11.06848 5.310629 + 111 | -2.255175 4.274168 -0.53 0.598 -10.65236 6.142008 + | + house_administration_m | -31.73889 11.17066 -2.84 0.005 -53.68516 -9.792625 + house_agriculture_m | 17.03288 7.608499 2.24 0.026 2.084952 31.98081 + house_appropriations_m | -70.81174 4.641825 -15.26 0.000 -79.93123 -61.69224 + house_armedservices_m | -18.17844 7.910954 -2.30 0.022 -33.72058 -2.636298 + house_budget_m | -33.41956 12.19716 -2.74 0.006 -57.38255 -9.456583 + house_dc_m | -162.5238 84.92658 -1.91 0.056 -329.3736 4.326003 + house_educlabor_m | -4.975611 5.88465 -0.85 0.398 -16.5368 6.585581 + house_energycommerce_m | 26.50217 3.56714 7.43 0.000 19.49404 33.5103 + house_foreignaffairs_m | -12.70655 10.96682 -1.16 0.247 -34.25235 8.839261 + house_governmentop_m | -23.25641 13.57709 -1.71 0.087 -49.93044 3.41763 + house_intelligence_m | -89.69083 30.59077 -2.93 0.004 -149.7906 -29.59111 + house_interior_m | -43.1515 19.83783 -2.18 0.030 -82.12561 -4.177394 + house_judiciary_m | -42.34281 4.13946 -10.23 0.000 -50.47534 -34.21028 + house_mmf_m | 34.02106 11.16268 3.05 0.002 12.09046 55.95166 + house_pocs_m | 43.8327 15.35285 2.86 0.004 13.66995 73.99545 + house_pwt_m | -8.368247 11.46613 -0.73 0.466 -30.89501 14.15852 + house_rules_m | -94.16119 12.40327 -7.59 0.000 -118.5291 -69.79328 + house_sst_m | .8684701 29.30851 0.03 0.976 -56.71206 58.449 + house_smallbusi_m | 31.15963 24.65966 1.26 0.207 -17.28761 79.60687 + house_soc_m | 111.6178 126.4645 0.88 0.378 -136.8388 360.0744 + house_veterans_m | 20.17472 8.655976 2.33 0.020 3.168877 37.18055 + house_waysandmeans_m | -16.20117 3.489437 -4.64 0.000 -23.05664 -9.345698 +house_naturalresources_m | -68.72112 15.53512 -4.42 0.000 -99.24197 -38.20028 + house_bfs_m | 3.155139 5.529056 0.57 0.568 -7.70744 14.01772 + house_eeo_m | -21.82193 7.30188 -2.99 0.003 -36.16746 -7.476396 + house_govreform_m | 24.67002 5.746101 4.29 0.000 13.38103 35.95902 + house_ir_m | 44.04249 7.888885 5.58 0.000 28.5437 59.54127 + house_natsecur_m | -1.931093 12.79053 -0.15 0.880 -27.05982 23.19764 + house_oversight_m | -55.25841 10.09362 -5.47 0.000 -75.08869 -35.42813 + house_resources_m | -11.08019 6.929448 -1.60 0.110 -24.69403 2.533649 + house_science_m | 33.64706 13.63392 2.47 0.014 6.861384 60.43274 + house_transp_m | 23.36957 7.665441 3.05 0.002 8.309775 38.42937 + house_homeland_m | 7.927664 14.46801 0.55 0.584 -20.49669 36.35202 + democrat | 0 (omitted) + rookie | -.3030036 .4219909 -0.72 0.473 -1.132062 .5260546 + tenure_run | .3124396 .079027 3.95 0.000 .1571804 .4676988 + age | -.01854 .0255359 -0.73 0.468 -.0687088 .0316288 + leader | .1486395 .6204226 0.24 0.811 -1.070265 1.367544 + ivycoll | .0976161 .8113275 0.12 0.904 -1.496347 1.691579 + black | 1.583785 3.292696 0.48 0.631 -4.885162 8.052732 + occ0 | .2911836 .6422373 0.45 0.650 -.9705786 1.552946 + occ1 | .7528992 1.197285 0.63 0.530 -1.59933 3.105128 + occ2 | .8950979 .6216756 1.44 0.151 -.3262681 2.116464 + occ3 | -1.080771 .8457679 -1.28 0.202 -2.742397 .5808546 + occ4 | .3463823 .5789113 0.60 0.550 -.7909675 1.483732 + borninstate | -.5000858 .4405794 -1.14 0.257 -1.365664 .3654921 + region_NE | 5.055041 .9388112 5.38 0.000 3.210619 6.899463 + region_MW | 2.066482 .6293974 3.28 0.001 .8299451 3.303018 + region_WE | .3276547 .8192164 0.40 0.689 -1.281807 1.937116 + pct_b | 8.38087 2.943642 2.85 0.005 2.597687 14.16405 + pct_u | 2.0753 1.444108 1.44 0.151 -.7618469 4.912446 + pct_f | 12.5281 3.740998 3.35 0.001 5.178403 19.8778 + pct_a | 13.82844 5.777542 2.39 0.017 2.477678 25.17921 + lninc | .9714667 1.978843 0.49 0.624 -2.916238 4.859171 + lnpden | -.3653832 .2234484 -1.64 0.103 -.8043778 .0736115 + _cons | 44.30165 20.04876 2.21 0.028 4.913151 83.69016 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,243 1 0 1 1 +(4,877 missing values generated) +(4,877 missing values generated) +(4,877 missing values generated) +(4,877 missing values generated) +(4,877 missing values generated) +(4,877 missing values generated) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(4,859 observations deleted) +(16 missing values generated) +(2 real changes made) +(1 real change made) +(17 missing values generated) +(1 real change made) +(1 real change made) +(16 missing values generated) +(1 real change made) +(1 real change made) +(17 missing values generated) +(1 real change made) +(0 real changes made) +(17 missing values generated) +(1 real change made) +(0 real changes made) +(5 real changes made) +(5 real changes made) +(5 real changes made) +file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/Table3b_pctbills_cosponsored_opp_OLS.xlsx saved + +. +. +. log close + name: + log: /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Log/Table3a_3b.log + log type: text + closed on: 8 Jul 2021, 12:12:57 +--------------------------------------------------------------------------------------------------------------------------------------------------------------------- diff --git a/30/replication_package/Log/Table4a_4b.log b/30/replication_package/Log/Table4a_4b.log new file mode 100644 index 0000000000000000000000000000000000000000..40cd0b539a6519dff87955dd001f66295f0db785 --- /dev/null +++ b/30/replication_package/Log/Table4a_4b.log @@ -0,0 +1,8747 @@ +--------------------------------------------------------------------------------------------------------------------------------------------------------------------- + name: + log: /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Log/Table4a_4b.log + log type: text + opened on: 11 May 2021, 23:47:11 + +. +. +. use "$AnalysisData/bills_analysis_101-111_replication.dta" +(Bill-level data set. Each observation is an individual bill.) + +. keep if private==0 +(1,546 observations deleted) + +. +. gen byte sponsor_democrat = sponsor_party==100 if sponsor_party~=. +(1,036 missing values generated) + +. +. gen byte sponsor_NE = sponsor_state_icpsr>=1 & sponsor_state_icpsr<=14 if sponsor_state_icpsr~=. +(1,015 missing values generated) + +. gen byte sponsor_MW = sponsor_state_icpsr>=21 & sponsor_state_icpsr<=37 if sponsor_state_icpsr~=. +(1,015 missing values generated) + +. gen byte sponsor_SO = sponsor_state_icpsr>=40 & sponsor_state_icpsr<=56 if sponsor_state_icpsr~=. +(1,015 missing values generated) + +. gen byte sponsor_WE = sponsor_state_icpsr>=61 & sponsor_state_icpsr<=82 if sponsor_state_icpsr~=. +(1,015 missing values generated) + +. +. replace sponsor_age=. if sponsor_age>100 +(0 real changes made) + +. gen sponsor_rookie=(sponsor_tenure_run==1) if sponsor_tenure_run!=. +(1,015 missing values generated) + +. gen byte leader = (comc==1) | (comr==1) if comc~=. & comr~=. +(1,015 missing values generated) + +. +. gen lnpden=lnpop-lnarea +(1,015 missing values generated) + +. gen absMV=abs(MV1_democrat) +(6,677 missing values generated) + +. +. compress + variable sponsor_rookie was float now byte + (187,047 bytes saved) + +. +. egen tag_bill = tag(v2 HRnumber) + +. egen tag_sponsor = tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) + +. egen group_sponsor = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +(1,015 missing values generated) + +. +. gen int decade = 1980 if v2<=102 +(50,563 missing values generated) + +. replace decade=1990 if v2>=103 & v2<=107 +(25,238 real changes made) + +. replace decade=2000 if v2>=108 +(25,325 real changes made) + +. +. egen district_id = group(decade sponsor_state_abbrev sponsor_district) +(1,015 missing values generated) + +. +. +. ** Balance tests +. +. label var sponsor_NE "North-East" + +. label var sponsor_MW "Mid-West" + +. label var sponsor_SO "South" + +. label var sponsor_WE "West" + +. replace pct_black=pct_black*100 +(61,334 real changes made) + +. label var pct_black "% Black" + +. replace pct_urban=pct_urban*100 +(61,020 real changes made) + +. label var pct_urban "% Urban" + +. replace pct_for_born=pct_for_born*100 +(61,334 real changes made) + +. label var pct_for_born "% Foreign" + +. replace pct_age_over65=pct_age_over65*100 +(61,334 real changes made) + +. label var pct_age_over65 "% Over-65" + +. label var lnpden "Ln Pop. Density" + +. label var lag_demshare1 "Democratic t-1" + +. label var DSpndPct "% Camp. Exp. D/R" + +. label var sponsor_female "Female candidate" + +. +. replace sponsor_age=. if sponsor_age>100 +(0 real changes made) + +. sort tag_sponsor sponsor_state_abbrev sponsor_district v2 + +. bysort tag_sponsor sponsor_state_abbrev sponsor_district: gen inc=sponsor_name[_n-1]==sponsor_name if sponsor_name!="" & sponsor_name[_n-1]!="" & tag_sponsor==1 +(58,025 missing values generated) + +. bysort sponsor_state_abbrev sponsor_district v2 sponsor_name: egen sponsor_incumbent=max(inc) +(7,016 missing values generated) + +. replace sponsor_incumbent=. if v2==103 | v2==108 +(9,949 real changes made, 9,949 to missing) + +. drop inc + +. +. label var sponsor_age "Age" + +. label var sponsor_tenure_run "Terms in office" + +. label var sponsor_rookie "Rookie" + +. label var sponsor_incumbent "Incumbent" + +. label var sponsor_democrat "Democrat" + +. label var comc "Chair committee" + +. label var comr "Rank committee" + +. label var leader "Chair/Rank committee" + +. label var dwnom1 "DW-nominate" + +. label var borninstate "Born in State" + +. label var agestart "Entry age" + +. label var anycoll "Any college" + +. label var ivycoll "Ivy-league college" + +. label var occ0 "No occupation" + +. label var occ1 "Education" + +. label var occ2 "Lawyer" + +. label var occ3 "Professional" + +. label var occ4 "Business" + +. label var occ5 "Agriculture" + +. label var occ6 "Other" + +. label var black "Black" + +. +. local if1 = "if tag_sponsor==1" + +. local if2 = "if tag_sponsor==1 & sponsor_party==100" + +. local if3 = "if tag_sponsor==1 & sponsor_party==200" + +. local Party1 = "ALL" + +. local Party2 = "D" + +. local Party3 = "R" + +. +. forvalues j = 1/3 { + 2. foreach var of varlist sponsor_NE sponsor_MW sponsor_SO sponsor_WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden lag_demshare1 DSpndPct /* +> */ absMV sponsor_democrat sponsor_tenure_run sponsor_rookie sponsor_age leader borninstate ivycoll occ0 occ1 occ2 occ3 occ4 occ6 black { + 3. local ct: var label `var' + 4. sum `var' `if`j'' & sponsor_female==1 + 5. scalar S1_`var' = r(sd) + 6. +. sum `var' `if`j'' & sponsor_female==0 + 7. scalar S0_`var' = r(sd) + 8. +. rdbwselect_2014 `var' MV1_female `if`j'', c(0) kernel(uniform) + 9. local band = e(h_CCT) + 10. +. forvalues i=1/5 { + 11. if `i'==1 { + 12. * 1) OLS balancing: simple diff. in means +. reg `var' sponsor_female `if`j'', robust cluster(group_sponsor) + 13. scalar b_`var'_`j'_`i' = _b[sponsor_female] + 14. scalar se_`var'_`j'_`i' = _se[sponsor_female] + 15. scalar t_`var'_`j'_`i' = b_`var'_`j'_`i'/se_`var'_`j'_`i' + 16. scalar stdiff_`var'_`j'_`i' = b_`var'_`j'_`i'/sqrt(S1_`var'^2 + S0_`var'^2) + 17. } + 18. else if `i'==2 { + 19. * 2) RD: optimal bandwidth +. reg `var' sponsor_female MV1_female femaleXMV1_female `if`j'' & abs(MV1_female)<=`band', robust cluster(group_sponsor) + 20. scalar b_`var'_`j'_`i' = _b[sponsor_female] + 21. scalar se_`var'_`j'_`i' = _se[sponsor_female] + 22. scalar t_`var'_`j'_`i' = b_`var'_`j'_`i'/se_`var'_`j'_`i' + 23. scalar stdiff_`var'_`j'_`i' = b_`var'_`j'_`i'/sqrt(S1_`var'^2 + S0_`var'^2) + 24. } + 25. else if `i'==3 { + 26. * 3) RD + Pscore matching: pscore=f(district) +. qui probit sponsor_female i.v2 sponsor_NE sponsor_MW sponsor_SO sponsor_WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden `if`j'' +> & abs(MV1_female)<=`band' + 27. predict pscore if e(sample)==1 + 28. gen wt = 1/pscore if sponsor_female==1 + 29. replace wt =1/(1-pscore) if sponsor_female==0 + 30. reg `var' sponsor_female MV1_female femaleXMV1_female [aw=wt] `if`j'' & abs(MV1_female)<=`band', robust cluster(group_sponsor) + 31. scalar b_`var'_`j'_`i' = _b[sponsor_female] + 32. scalar se_`var'_`j'_`i' = _se[sponsor_female] + 33. scalar t_`var'_`j'_`i' = b_`var'_`j'_`i'/se_`var'_`j'_`i' + 34. scalar stdiff_`var'_`j'_`i' = b_`var'_`j'_`i'/sqrt(S1_`var'^2 + S0_`var'^2) + 35. drop pscore wt + 36. } + 37. else if `i'==4 { + 38. * 4) Pscore matching: pscore=f(district, absMV), sample=all +. qui probit sponsor_female i.v2 sponsor_NE sponsor_MW sponsor_SO sponsor_WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden absMV ` +> if`j'' + 39. predict pscore if e(sample)==1 + 40. gen wt = 1/pscore if sponsor_female==1 + 41. replace wt =1/(1-pscore) if sponsor_female==0 + 42. reg `var' sponsor_female [aw=wt] `if`j'', robust cluster(group_sponsor) + 43. scalar b_`var'_`j'_`i' = _b[sponsor_female] + 44. scalar se_`var'_`j'_`i' = _se[sponsor_female] + 45. scalar t_`var'_`j'_`i' = b_`var'_`j'_`i'/se_`var'_`j'_`i' + 46. scalar stdiff_`var'_`j'_`i' = b_`var'_`j'_`i'/sqrt(S1_`var'^2 + S0_`var'^2) + 47. drop pscore wt + 48. } + 49. } + 50. } + 51. } + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + sponsor_NE | 590 .1847458 .3884205 0 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + sponsor_NE | 4,201 .2059034 .4044083 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 898 +----------------------+---------------------- NN matches = 3 + Number of obs | 500 398 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 16.97306 30.09204 .5640383 +---------------------------------------------- + +Linear regression Number of obs = 4,791 + F(1, 4790) = 1.52 + Prob > F = 0.2175 + R-squared = 0.0003 + Root MSE = .40248 + + (Std. Err. adjusted for 4,791 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + sponsor_NE | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.0211576 .0171558 -1.23 0.218 -.0547909 .0124758 + _cons | .2059034 .00624 33.00 0.000 .1936701 .2181366 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 267 + F(3, 266) = 1.40 + Prob > F = 0.2436 + R-squared = 0.0119 + Root MSE = .40506 + + (Std. Err. adjusted for 267 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + sponsor_NE | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.0014856 .1009649 -0.01 0.988 -.2002778 .1973065 + MV1_female | -.0011695 .0063069 -0.19 0.853 -.0135873 .0112484 +femaleXMV1_female | -.0063974 .0094864 -0.67 0.501 -.0250754 .0122806 + _cons | .22432 .0656387 3.42 0.001 .0950824 .3535575 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,082 missing values generated) +(62,248 missing values generated) +(166 real changes made) +(sum of wgt is 529.9520304203033) + +Linear regression Number of obs = 267 + F(3, 266) = 0.76 + Prob > F = 0.5196 + R-squared = 0.0120 + Root MSE = .40671 + + (Std. Err. adjusted for 267 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + sponsor_NE | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .1277092 .1157146 1.10 0.271 -.100124 .3555423 + MV1_female | -.0017603 .0058784 -0.30 0.765 -.0133345 .0098138 +femaleXMV1_female | -.0107324 .0104399 -1.03 0.305 -.0312877 .009823 + _cons | .1889607 .0601343 3.14 0.002 .070561 .3073605 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(57,946 missing values generated) +(61,809 missing values generated) +(3,863 real changes made) +(sum of wgt is 8,808.59098601341) + +Linear regression Number of obs = 4,403 + F(1, 4402) = 0.59 + Prob > F = 0.4431 + R-squared = 0.0006 + Root MSE = .39904 + + (Std. Err. adjusted for 4,403 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + sponsor_NE | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .0194356 .0253376 0.77 0.443 -.0302388 .06911 + _cons | .1890386 .0062934 30.04 0.000 .1767005 .2013768 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + sponsor_MW | 590 .2118644 .408976 0 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + sponsor_MW | 4,201 .2435134 .4292534 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 898 +----------------------+---------------------- NN matches = 3 + Number of obs | 500 398 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 19.80159 34.41667 .5753488 +---------------------------------------------- + +Linear regression Number of obs = 4,791 + F(1, 4790) = 3.06 + Prob > F = 0.0801 + R-squared = 0.0006 + Root MSE = .42681 + + (Std. Err. adjusted for 4,791 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + sponsor_MW | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.031649 .0180831 -1.75 0.080 -.0671003 .0038022 + _cons | .2435134 .0066233 36.77 0.000 .2305287 .2564982 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 312 + F(3, 311) = 2.14 + Prob > F = 0.0949 + R-squared = 0.0188 + Root MSE = .42208 + + (Std. Err. adjusted for 312 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + sponsor_MW | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.1294546 .0966262 -1.34 0.181 -.3195784 .0606692 + MV1_female | .0022571 .005415 0.42 0.677 -.0083975 .0129118 +femaleXMV1_female | -.0034109 .0081716 -0.42 0.677 -.0194894 .0126677 + _cons | .3019173 .0660566 4.57 0.000 .1719428 .4318917 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,037 missing values generated) +(62,231 missing values generated) +(194 real changes made) +(sum of wgt is 621.3812042474747) + +Linear regression Number of obs = 312 + F(3, 311) = 0.29 + Prob > F = 0.8308 + R-squared = 0.0044 + Root MSE = .417 + + (Std. Err. adjusted for 312 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + sponsor_MW | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .0259511 .1144046 0.23 0.821 -.1991538 .251056 + MV1_female | .001719 .0047194 0.36 0.716 -.0075669 .011005 +femaleXMV1_female | -.0078704 .0094493 -0.83 0.406 -.0264631 .0107223 + _cons | .2479622 .058078 4.27 0.000 .1336867 .3622377 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(57,946 missing values generated) +(61,809 missing values generated) +(3,863 real changes made) +(sum of wgt is 8,808.59098601341) + +Linear regression Number of obs = 4,403 + F(1, 4402) = 0.18 + Prob > F = 0.6694 + R-squared = 0.0001 + Root MSE = .43103 + + (Std. Err. adjusted for 4,403 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + sponsor_MW | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.0102534 .0240164 -0.43 0.669 -.0573376 .0368308 + _cons | .2516138 .0069762 36.07 0.000 .2379369 .2652907 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + sponsor_SO | 590 .2271186 .4193254 0 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + sponsor_SO | 4,201 .3572959 .4792601 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 898 +----------------------+---------------------- NN matches = 3 + Number of obs | 500 398 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 18.8461 34.61012 .5445258 +---------------------------------------------- + +Linear regression Number of obs = 4,791 + F(1, 4790) = 48.10 + Prob > F = 0.0000 + R-squared = 0.0081 + Root MSE = .4723 + + (Std. Err. adjusted for 4,791 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + sponsor_SO | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.1301772 .0187704 -6.94 0.000 -.1669758 -.0933787 + _cons | .3572959 .0073949 48.32 0.000 .3427984 .3717933 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 293 + F(3, 292) = 1.52 + Prob > F = 0.2083 + R-squared = 0.0154 + Root MSE = .42605 + + (Std. Err. adjusted for 293 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + sponsor_SO | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.0970626 .0983748 -0.99 0.325 -.2906761 .0965509 + MV1_female | -.0050362 .0061888 -0.81 0.416 -.0172165 .0071442 +femaleXMV1_female | .0189053 .0095864 1.97 0.050 .0000381 .0377726 + _cons | .195326 .0666654 2.93 0.004 .0641205 .3265316 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,056 missing values generated) +(62,236 missing values generated) +(180 real changes made) +(sum of wgt is 583.7498970031738) + +Linear regression Number of obs = 293 + F(3, 292) = 1.24 + Prob > F = 0.2969 + R-squared = 0.0197 + Root MSE = .4307 + + (Std. Err. adjusted for 293 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + sponsor_SO | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.0873786 .105195 -0.83 0.407 -.2944151 .1196579 + MV1_female | -.0041991 .0063336 -0.66 0.508 -.0166643 .0082662 +femaleXMV1_female | .0188728 .01031 1.83 0.068 -.0014185 .0391641 + _cons | .2017628 .0685887 2.94 0.004 .066772 .3367536 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(57,946 missing values generated) +(61,809 missing values generated) +(3,863 real changes made) +(sum of wgt is 8,808.59098601341) + +Linear regression Number of obs = 4,403 + F(1, 4402) = 0.18 + Prob > F = 0.6674 + R-squared = 0.0002 + Root MSE = .47001 + + (Std. Err. adjusted for 4,403 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + sponsor_SO | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.0125666 .0292458 -0.43 0.667 -.0699031 .0447699 + _cons | .3355519 .0075488 44.45 0.000 .3207524 .3503514 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + sponsor_WE | 590 .3762712 .4848604 0 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + sponsor_WE | 4,201 .1932873 .3949234 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 898 +----------------------+---------------------- NN matches = 3 + Number of obs | 500 398 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 19.0539 31.58775 .6032052 +---------------------------------------------- + +Linear regression Number of obs = 4,791 + F(1, 4790) = 76.96 + Prob > F = 0.0000 + R-squared = 0.0214 + Root MSE = .40706 + + (Std. Err. adjusted for 4,791 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + sponsor_WE | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .1829839 .0208586 8.77 0.000 .1420915 .2238763 + _cons | .1932873 .0060936 31.72 0.000 .181341 .2052336 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 296 + F(3, 295) = 4.10 + Prob > F = 0.0072 + R-squared = 0.0445 + Root MSE = .45817 + + (Std. Err. adjusted for 296 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + sponsor_WE | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .2783948 .1137167 2.45 0.015 .054596 .5021935 + MV1_female | .0018047 .0057936 0.31 0.756 -.0095973 .0132067 +femaleXMV1_female | -.0136539 .0098746 -1.38 0.168 -.0330876 .0057797 + _cons | .2650371 .066303 4.00 0.000 .1345504 .3955239 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,053 missing values generated) +(62,235 missing values generated) +(182 real changes made) +(sum of wgt is 589.5530579090118) + +Linear regression Number of obs = 296 + F(3, 295) = 0.47 + Prob > F = 0.7023 + R-squared = 0.0053 + Root MSE = .46806 + + (Std. Err. adjusted for 296 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + sponsor_WE | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .0612395 .1169746 0.52 0.601 -.168971 .2914499 + MV1_female | .0021875 .0068236 0.32 0.749 -.0112417 .0156167 +femaleXMV1_female | -.0104536 .0099396 -1.05 0.294 -.0300153 .009108 + _cons | .3389237 .0782283 4.33 0.000 .1849674 .49288 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(57,946 missing values generated) +(61,809 missing values generated) +(3,863 real changes made) +(sum of wgt is 8,808.59098601341) + +Linear regression Number of obs = 4,403 + F(1, 4402) = 0.03 + Prob > F = 0.8662 + R-squared = 0.0000 + Root MSE = .418 + + (Std. Err. adjusted for 4,403 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + sponsor_WE | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .0033844 .0200839 0.17 0.866 -.0359902 .042759 + _cons | .2237957 .0070159 31.90 0.000 .2100411 .2375503 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + pct_black | 590 13.63385 16.69872 .1025148 70.98532 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + pct_black | 4,201 11.51054 15.04212 .0669269 92.06912 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 898 +----------------------+---------------------- NN matches = 3 + Number of obs | 500 398 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 18.41048 41.32455 .4455096 +---------------------------------------------- + +Linear regression Number of obs = 4,791 + F(1, 4790) = 8.57 + Prob > F = 0.0034 + R-squared = 0.0021 + Root MSE = 15.256 + + (Std. Err. adjusted for 4,791 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + pct_black | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | 2.123309 .7251813 2.93 0.003 .7016201 3.544997 + _cons | 11.51054 .2320981 49.59 0.000 11.05552 11.96556 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 288 + F(3, 287) = 0.97 + Prob > F = 0.4056 + R-squared = 0.0065 + Root MSE = 8.2718 + + (Std. Err. adjusted for 288 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + pct_black | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -1.740382 1.574145 -1.11 0.270 -4.838715 1.35795 + MV1_female | -.0306046 .1070566 -0.29 0.775 -.2413203 .1801111 +femaleXMV1_female | .2198252 .1645246 1.34 0.183 -.1040027 .543653 + _cons | 6.757022 1.082057 6.24 0.000 4.627248 8.886796 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,061 missing values generated) +(62,238 missing values generated) +(177 real changes made) +(sum of wgt is 572.8330496549606) + +Linear regression Number of obs = 288 + F(3, 287) = 0.57 + Prob > F = 0.6331 + R-squared = 0.0041 + Root MSE = 8.0678 + + (Std. Err. adjusted for 288 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + pct_black | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -1.270747 1.53766 -0.83 0.409 -4.297268 1.755773 + MV1_female | .0018997 .1057866 0.02 0.986 -.2063162 .2101156 +femaleXMV1_female | .1305011 .1474107 0.89 0.377 -.1596421 .4206442 + _cons | 6.950619 1.075816 6.46 0.000 4.833129 9.068109 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(57,946 missing values generated) +(61,809 missing values generated) +(3,863 real changes made) +(sum of wgt is 8,808.59098601341) + +Linear regression Number of obs = 4,403 + F(1, 4402) = 0.95 + Prob > F = 0.3304 + R-squared = 0.0005 + Root MSE = 14.569 + + (Std. Err. adjusted for 4,403 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + pct_black | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.6636069 .6817737 -0.97 0.330 -2.000226 .6730125 + _cons | 11.24369 .2472338 45.48 0.000 10.75899 11.72839 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + pct_urban | 590 84.00371 21.49034 0 100 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + pct_urban | 4,201 69.0334 27.46602 0 100.0476 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 898 +----------------------+---------------------- NN matches = 3 + Number of obs | 500 398 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 26.7024 45.52345 .5865637 +---------------------------------------------- + +Linear regression Number of obs = 4,791 + F(1, 4790) = 233.11 + Prob > F = 0.0000 + R-squared = 0.0326 + Root MSE = 26.803 + + (Std. Err. adjusted for 4,791 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + pct_urban | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | 14.97031 .980497 15.27 0.000 13.04809 16.89254 + _cons | 69.0334 .4237974 162.89 0.000 68.20256 69.86424 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 439 + F(3, 438) = 2.83 + Prob > F = 0.0381 + R-squared = 0.0175 + Root MSE = 26.175 + + (Std. Err. adjusted for 439 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + pct_urban | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | 3.281066 5.153304 0.64 0.525 -6.847212 13.40934 + MV1_female | .1075782 .202803 0.53 0.596 -.2910098 .5061663 +femaleXMV1_female | .0519479 .3216224 0.16 0.872 -.5801671 .684063 + _cons | 69.73375 3.352684 20.80 0.000 63.14441 76.3231 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(61,910 missing values generated) +(62,190 missing values generated) +(280 real changes made) +(sum of wgt is 875.3006076812744) + +Linear regression Number of obs = 439 + F(3, 438) = 0.32 + Prob > F = 0.8096 + R-squared = 0.0020 + Root MSE = 25.686 + + (Std. Err. adjusted for 439 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + pct_urban | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -2.437037 5.341232 -0.46 0.648 -12.93467 8.060594 + MV1_female | .1519016 .1940388 0.78 0.434 -.2294612 .5332644 +femaleXMV1_female | -.0474775 .3294427 -0.14 0.885 -.6949625 .6000075 + _cons | 73.04314 3.147035 23.21 0.000 66.85797 79.2283 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(57,946 missing values generated) +(61,809 missing values generated) +(3,863 real changes made) +(sum of wgt is 8,808.59098601341) + +Linear regression Number of obs = 4,403 + F(1, 4402) = 0.59 + Prob > F = 0.4419 + R-squared = 0.0006 + Root MSE = 26.343 + + (Std. Err. adjusted for 4,403 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + pct_urban | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | 1.252642 1.628918 0.77 0.442 -1.940856 4.44614 + _cons | 70.41989 .4384158 160.62 0.000 69.56037 71.27941 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +pct_for_born | 590 14.87431 13.82462 .5351791 56.85267 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +pct_for_born | 4,201 7.907637 9.064049 .2187925 58.51513 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 898 +----------------------+---------------------- NN matches = 3 + Number of obs | 500 398 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 23.18388 40.37474 .5742174 +---------------------------------------------- + +Linear regression Number of obs = 4,791 + F(1, 4790) = 141.47 + Prob > F = 0.0000 + R-squared = 0.0520 + Root MSE = 9.7754 + + (Std. Err. adjusted for 4,791 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + pct_for_born | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | 6.966671 .5857289 11.89 0.000 5.818373 8.114968 + _cons | 7.907637 .1398572 56.54 0.000 7.633452 8.181821 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 385 + F(3, 384) = 1.46 + Prob > F = 0.2239 + R-squared = 0.0154 + Root MSE = 7.7236 + + (Std. Err. adjusted for 385 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + pct_for_born | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .8207545 1.670629 0.49 0.624 -2.463972 4.105481 + MV1_female | -.0647962 .0665242 -0.97 0.331 -.1955935 .0660012 +femaleXMV1_female | .1911953 .1413424 1.35 0.177 -.0867066 .4690972 + _cons | 6.593307 .8693572 7.58 0.000 4.884011 8.302604 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(61,964 missing values generated) +(62,207 missing values generated) +(243 real changes made) +(sum of wgt is 766.3964701890945) + +Linear regression Number of obs = 385 + F(3, 384) = 0.67 + Prob > F = 0.5692 + R-squared = 0.0054 + Root MSE = 7.7013 + + (Std. Err. adjusted for 385 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + pct_for_born | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .459085 1.572755 0.29 0.771 -2.633204 3.551374 + MV1_female | -.0917597 .0744493 -1.23 0.219 -.2381391 .0546196 +femaleXMV1_female | .1621763 .1291455 1.26 0.210 -.0917445 .416097 + _cons | 6.875599 .9263052 7.42 0.000 5.054334 8.696865 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(57,946 missing values generated) +(61,809 missing values generated) +(3,863 real changes made) +(sum of wgt is 8,808.59098601341) + +Linear regression Number of obs = 4,403 + F(1, 4402) = 0.01 + Prob > F = 0.9343 + R-squared = 0.0000 + Root MSE = 9.3246 + + (Std. Err. adjusted for 4,403 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + pct_for_born | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.0325844 .3952228 -0.08 0.934 -.8074198 .7422511 + _cons | 8.233577 .1642389 50.13 0.000 7.911587 8.555568 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +pct_age_o~65 | 590 12.57002 4.07163 5.899971 38.99562 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +pct_age_o~65 | 4,201 13.61787 4.208184 4.116681 43.80611 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 898 +----------------------+---------------------- NN matches = 3 + Number of obs | 500 398 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 23.56985 48.02239 .4908097 +---------------------------------------------- + +Linear regression Number of obs = 4,791 + F(1, 4790) = 34.02 + Prob > F = 0.0000 + R-squared = 0.0067 + Root MSE = 4.1916 + + (Std. Err. adjusted for 4,791 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust +pct_age_over65 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -1.047848 .1796631 -5.83 0.000 -1.40007 -.6956256 + _cons | 13.61787 .0649318 209.73 0.000 13.49057 13.74516 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 390 + F(3, 389) = 0.83 + Prob > F = 0.4757 + R-squared = 0.0078 + Root MSE = 4.3492 + + (Std. Err. adjusted for 390 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + pct_age_over65 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -1.223838 .8995622 -1.36 0.174 -2.99245 .5447741 + MV1_female | .0209147 .0421893 0.50 0.620 -.0620329 .1038624 +femaleXMV1_female | .0665491 .0725622 0.92 0.360 -.0761141 .2092124 + _cons | 13.64047 .5914245 23.06 0.000 12.47768 14.80325 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(61,959 missing values generated) +(62,206 missing values generated) +(247 real changes made) +(sum of wgt is 776.4072372913361) + +Linear regression Number of obs = 390 + F(3, 389) = 0.66 + Prob > F = 0.5769 + R-squared = 0.0061 + Root MSE = 4.382 + + (Std. Err. adjusted for 390 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + pct_age_over65 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -1.17669 .9568968 -1.23 0.220 -3.058026 .7046469 + MV1_female | .0293236 .0493476 0.59 0.553 -.0676977 .126345 +femaleXMV1_female | .0351716 .071299 0.49 0.622 -.105008 .1753512 + _cons | 13.75082 .7047421 19.51 0.000 12.36524 15.1364 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(57,946 missing values generated) +(61,809 missing values generated) +(3,863 real changes made) +(sum of wgt is 8,808.59098601341) + +Linear regression Number of obs = 4,403 + F(1, 4402) = 0.10 + Prob > F = 0.7466 + R-squared = 0.0001 + Root MSE = 4.1221 + + (Std. Err. adjusted for 4,403 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust +pct_age_over65 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .0753855 .23327 0.32 0.747 -.381941 .532712 + _cons | 13.6203 .0687954 197.98 0.000 13.48543 13.75518 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + lninc | 590 10.26496 .340084 9.42521 11.06974 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + lninc | 4,201 10.2084 .3202676 9.040027 11.05996 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 898 +----------------------+---------------------- NN matches = 3 + Number of obs | 500 398 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 18.70746 34.72323 .5387593 +---------------------------------------------- + +Linear regression Number of obs = 4,791 + F(1, 4790) = 14.53 + Prob > F = 0.0001 + R-squared = 0.0033 + Root MSE = .32277 + + (Std. Err. adjusted for 4,791 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + lninc | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .0565601 .0148391 3.81 0.000 .0274687 .0856515 + _cons | 10.2084 .0049417 2065.77 0.000 10.19871 10.21808 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 291 + F(3, 290) = 0.52 + Prob > F = 0.6667 + R-squared = 0.0066 + Root MSE = .32293 + + (Std. Err. adjusted for 291 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + lninc | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .0434794 .082332 0.53 0.598 -.1185646 .2055234 + MV1_female | .0018953 .0041904 0.45 0.651 -.006352 .0101427 +femaleXMV1_female | -.0091373 .0075336 -1.21 0.226 -.0239648 .0056902 + _cons | 10.35004 .0465109 222.53 0.000 10.2585 10.44158 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,058 missing values generated) +(62,237 missing values generated) +(179 real changes made) +(sum of wgt is 579.0895062685013) + +Linear regression Number of obs = 291 + F(3, 290) = 0.38 + Prob > F = 0.7651 + R-squared = 0.0067 + Root MSE = .3302 + + (Std. Err. adjusted for 291 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + lninc | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .0517682 .08695 0.60 0.552 -.1193649 .2229012 + MV1_female | .0012578 .004169 0.30 0.763 -.0069475 .009463 +femaleXMV1_female | -.0080531 .007819 -1.03 0.304 -.0234423 .0073362 + _cons | 10.34816 .0455105 227.38 0.000 10.25858 10.43773 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(57,946 missing values generated) +(61,809 missing values generated) +(3,863 real changes made) +(sum of wgt is 8,808.59098601341) + +Linear regression Number of obs = 4,403 + F(1, 4402) = 0.33 + Prob > F = 0.5674 + R-squared = 0.0003 + Root MSE = .33029 + + (Std. Err. adjusted for 4,403 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + lninc | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .0110588 .0193356 0.57 0.567 -.0268486 .0489663 + _cons | 10.21758 .0053022 1927.05 0.000 10.20718 10.22797 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + lnpden | 590 .0413454 7.527808 -13.14081 10.70349 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + lnpden | 4,201 .5482409 7.309131 -14.67538 11.20875 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 898 +----------------------+---------------------- NN matches = 3 + Number of obs | 500 398 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 24.42462 41.68033 .5859987 +---------------------------------------------- + +Linear regression Number of obs = 4,791 + F(1, 4790) = 2.37 + Prob > F = 0.1241 + R-squared = 0.0005 + Root MSE = 7.3364 + + (Std. Err. adjusted for 4,791 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + lnpden | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.5068955 .3296113 -1.54 0.124 -1.153085 .1392942 + _cons | .5482409 .112779 4.86 0.000 .3271422 .7693396 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 403 + F(3, 402) = 1.17 + Prob > F = 0.3225 + R-squared = 0.0085 + Root MSE = 7.4636 + + (Std. Err. adjusted for 403 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + lnpden | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .2628684 1.533142 0.17 0.864 -2.751109 3.276846 + MV1_female | .0950597 .0652671 1.46 0.146 -.0332478 .2233671 +femaleXMV1_female | -.1722115 .1067072 -1.61 0.107 -.3819853 .0375623 + _cons | 1.054055 .9651433 1.09 0.275 -.8433038 2.951413 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(61,946 missing values generated) +(62,202 missing values generated) +(256 real changes made) +(sum of wgt is 802.8636893033981) + +Linear regression Number of obs = 403 + F(3, 402) = 0.87 + Prob > F = 0.4569 + R-squared = 0.0068 + Root MSE = 7.5113 + + (Std. Err. adjusted for 403 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + lnpden | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.2020271 1.598286 -0.13 0.899 -3.34407 2.940015 + MV1_female | .0895684 .0682557 1.31 0.190 -.0446143 .2237511 +femaleXMV1_female | -.1744804 .1131364 -1.54 0.124 -.3968933 .0479324 + _cons | 1.264938 1.007892 1.26 0.210 -.7164596 3.246336 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(57,946 missing values generated) +(61,809 missing values generated) +(3,863 real changes made) +(sum of wgt is 8,808.59098601341) + +Linear regression Number of obs = 4,403 + F(1, 4402) = 0.01 + Prob > F = 0.9345 + R-squared = 0.0000 + Root MSE = 7.2767 + + (Std. Err. adjusted for 4,403 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + lnpden | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.0315801 .3841947 -0.08 0.934 -.784795 .7216349 + _cons | .6217099 .1195756 5.20 0.000 .3872815 .8561383 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +lag_demsha~1 | 416 .5802717 .1987205 0 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +lag_demsha~1 | 2,793 .5060043 .2233631 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 641 +----------------------+---------------------- NN matches = 3 + Number of obs | 359 282 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 79.922 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 17.21253 32.22954 .5340606 +---------------------------------------------- + +Linear regression Number of obs = 3,209 + F(1, 3208) = 48.97 + Prob > F = 0.0000 + R-squared = 0.0127 + Root MSE = .22033 + + (Std. Err. adjusted for 3,209 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + lag_demshare1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .0742674 .0106125 7.00 0.000 .0534594 .0950754 + _cons | .5060043 .004227 119.71 0.000 .4977164 .5142922 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 207 + F(3, 206) = 3.32 + Prob > F = 0.0208 + R-squared = 0.0346 + Root MSE = .13593 + + (Std. Err. adjusted for 207 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + lag_demshare1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .0259688 .037201 0.70 0.486 -.0473746 .0993122 + MV1_female | .0011605 .0028024 0.41 0.679 -.0043645 .0066855 +femaleXMV1_female | .0004845 .0035081 0.14 0.890 -.006432 .0074009 + _cons | .4492519 .0309483 14.52 0.000 .3882358 .510268 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,077 missing values generated) +(62,247 missing values generated) +(170 real changes made) +(sum of wgt is 415.1722078323364) + +Linear regression Number of obs = 207 + F(3, 206) = 2.59 + Prob > F = 0.0542 + R-squared = 0.0369 + Root MSE = .12807 + + (Std. Err. adjusted for 207 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + lag_demshare1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .0331418 .0414199 0.80 0.425 -.0485195 .114803 + MV1_female | .0011491 .0027484 0.42 0.676 -.0042695 .0065677 +femaleXMV1_female | -.0005272 .0038647 -0.14 0.892 -.0081466 .0070923 + _cons | .4497633 .0293691 15.31 0.000 .3918608 .5076658 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(57,946 missing values generated) +(61,809 missing values generated) +(3,863 real changes made) +(sum of wgt is 5,901.8450615406) + +Linear regression Number of obs = 2,979 + F(1, 2978) = 0.13 + Prob > F = 0.7197 + R-squared = 0.0001 + Root MSE = .2072 + + (Std. Err. adjusted for 2,979 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + lag_demshare1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .0049179 .0137012 0.36 0.720 -.0219468 .0317826 + _cons | .5102525 .0042633 119.68 0.000 .5018931 .5186119 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + DSpndPct | 590 61.35517 31.3759 0 100 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + DSpndPct | 4,201 51.00944 33.14232 0 100 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 898 +----------------------+---------------------- NN matches = 3 + Number of obs | 500 398 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 10.96658 23.27847 .471104 +---------------------------------------------- + +Linear regression Number of obs = 4,791 + F(1, 4790) = 55.52 + Prob > F = 0.0000 + R-squared = 0.0106 + Root MSE = 32.93 + + (Std. Err. adjusted for 4,791 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + DSpndPct | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | 10.34573 1.388501 7.45 0.000 7.623631 13.06783 + _cons | 51.00944 .5113822 99.75 0.000 50.0069 52.01199 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 161 + F(3, 160) = 1.04 + Prob > F = 0.3780 + R-squared = 0.0198 + Root MSE = 16.811 + + (Std. Err. adjusted for 161 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + DSpndPct | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | 2.468315 4.591958 0.54 0.592 -6.60035 11.53698 + MV1_female | .3462252 .5111906 0.68 0.499 -.6633258 1.355776 +femaleXMV1_female | -.2979342 .8014705 -0.37 0.711 -1.880759 1.284891 + _cons | 49.0777 2.908476 16.87 0.000 43.33374 54.82165 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,188 missing values generated) +(62,282 missing values generated) +(94 real changes made) +(sum of wgt is 319.9288716316223) + +Linear regression Number of obs = 161 + F(3, 160) = 1.10 + Prob > F = 0.3490 + R-squared = 0.0237 + Root MSE = 16.915 + + (Std. Err. adjusted for 161 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + DSpndPct | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | 2.352512 5.18104 0.45 0.650 -7.879533 12.58456 + MV1_female | .4452749 .5050518 0.88 0.379 -.5521527 1.442703 +femaleXMV1_female | -.4018554 .8913928 -0.45 0.653 -2.162268 1.358558 + _cons | 49.75662 2.748748 18.10 0.000 44.32811 55.18512 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(57,946 missing values generated) +(61,809 missing values generated) +(3,863 real changes made) +(sum of wgt is 8,808.59098601341) + +Linear regression Number of obs = 4,403 + F(1, 4402) = 1.42 + Prob > F = 0.2327 + R-squared = 0.0013 + Root MSE = 33.842 + + (Std. Err. adjusted for 4,403 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + DSpndPct | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | 2.399998 2.010898 1.19 0.233 -1.542373 6.342369 + _cons | 51.10635 .554345 92.19 0.000 50.01955 52.19314 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + absMV | 540 .3547234 .2401786 .0002862 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + absMV | 3,863 .366315 .2633881 6.32e-06 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 898 +----------------------+---------------------- NN matches = 3 + Number of obs | 500 398 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 7.05053 12.8683 .5478993 +---------------------------------------------- + +Linear regression Number of obs = 4,403 + F(1, 4402) = 1.08 + Prob > F = 0.2992 + R-squared = 0.0002 + Root MSE = .26066 + + (Std. Err. adjusted for 4,403 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + absMV | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.0115915 .0111641 -1.04 0.299 -.0334789 .0102958 + _cons | .366315 .0042381 86.43 0.000 .3580061 .3746239 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 107 + F(0, 106) = . + Prob > F = . + R-squared = 1.0000 + Root MSE = 0 + + (Std. Err. adjusted for 107 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + absMV | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -2.30e-10 2.12e-10 -1.08 0.281 -6.51e-10 1.91e-10 + MV1_female | -.01 4.12e-11 -2.4e+08 0.000 -.01 -.01 +femaleXMV1_female | .02 6.14e-11 3.3e+08 0.000 .02 .02 + _cons | 3.07e-10 1.64e-10 1.87 0.065 -1.88e-11 6.32e-10 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,247 missing values generated) +(62,309 missing values generated) +(62 real changes made) +(sum of wgt is 201.3423994779587) + +Linear regression Number of obs = 102 + F(0, 101) = . + Prob > F = . + R-squared = 1.0000 + Root MSE = 0 + + (Std. Err. adjusted for 102 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + absMV | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -2.83e-10 2.46e-10 -1.15 0.252 -7.70e-10 2.04e-10 + MV1_female | -.01 5.12e-11 -2.0e+08 0.000 -.01 -.01 +femaleXMV1_female | .02 7.41e-11 2.7e+08 0.000 .02 .02 + _cons | 4.11e-10 1.83e-10 2.25 0.027 4.89e-11 7.73e-10 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(57,946 missing values generated) +(61,809 missing values generated) +(3,863 real changes made) +(sum of wgt is 8,808.59098601341) + +Linear regression Number of obs = 4,403 + F(1, 4402) = 2.13 + Prob > F = 0.1444 + R-squared = 0.0018 + Root MSE = .2496 + + (Std. Err. adjusted for 4,403 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + absMV | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.0211365 .0144774 -1.46 0.144 -.0495195 .0072464 + _cons | .363797 .0041582 87.49 0.000 .3556448 .3719492 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +sponsor_de~t | 590 .6881356 .4636479 0 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +sponsor_de~t | 4,198 .5 .5000596 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 898 +----------------------+---------------------- NN matches = 3 + Number of obs | 500 398 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 17.64652 30.24592 .5834349 +---------------------------------------------- + +Linear regression Number of obs = 4,788 + F(1, 4787) = 83.58 + Prob > F = 0.0000 + R-squared = 0.0153 + Root MSE = .49572 + + (Std. Err. adjusted for 4,788 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust +sponsor_demo~t | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .1881356 .0205783 9.14 0.000 .1477927 .2284785 + _cons | .5 .0077186 64.78 0.000 .484868 .515132 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 278 + F(3, 277) = 11.57 + Prob > F = 0.0000 + R-squared = 0.1131 + Root MSE = .46832 + + (Std. Err. adjusted for 278 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + sponsor_democrat | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .4207765 .1160054 3.63 0.000 .1924123 .6491407 + MV1_female | .001577 .0064861 0.24 0.808 -.0111913 .0143454 +femaleXMV1_female | -.0130932 .011258 -1.16 0.246 -.0352553 .0090689 + _cons | .3096403 .0708456 4.37 0.000 .1701761 .4491045 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,071 missing values generated) +(62,244 missing values generated) +(173 real changes made) +(sum of wgt is 551.805853843689) + +Linear regression Number of obs = 278 + F(3, 277) = 13.14 + Prob > F = 0.0000 + R-squared = 0.1402 + Root MSE = .46575 + + (Std. Err. adjusted for 278 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + sponsor_democrat | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .4923476 .1181763 4.17 0.000 .2597099 .7249852 + MV1_female | .0029888 .0069773 0.43 0.669 -.0107464 .016724 +femaleXMV1_female | -.0236691 .0116649 -2.03 0.043 -.0466322 -.000706 + _cons | .3224849 .0764893 4.22 0.000 .1719107 .4730591 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(57,946 missing values generated) +(61,809 missing values generated) +(3,863 real changes made) +(sum of wgt is 8,805.42208445072) + +Linear regression Number of obs = 4,400 + F(1, 4399) = 0.93 + Prob > F = 0.3341 + R-squared = 0.0008 + Root MSE = .49955 + + (Std. Err. adjusted for 4,400 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust +sponsor_demo~t | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .028446 .0294457 0.97 0.334 -.0292823 .0861743 + _cons | .5046778 .0080958 62.34 0.000 .4888059 .5205496 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +sponsor_te~n | 590 4.19322 2.779983 1 14 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +sponsor_te~n | 4,201 5.634373 3.838477 1 20 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 898 +----------------------+---------------------- NN matches = 3 + Number of obs | 500 398 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 16.7383 30.88887 .5418878 +---------------------------------------------- + +Linear regression Number of obs = 4,791 + F(1, 4790) = 125.19 + Prob > F = 0.0000 + R-squared = 0.0159 + Root MSE = 3.7246 + + (Std. Err. adjusted for 4,791 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust +sponsor_tenu~n | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -1.441152 .128802 -11.19 0.000 -1.693663 -1.188641 + _cons | 5.634373 .0592272 95.13 0.000 5.51826 5.750485 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 264 + F(3, 263) = 7.35 + Prob > F = 0.0001 + R-squared = 0.0661 + Root MSE = 3.5268 + + (Std. Err. adjusted for 264 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust +sponsor_tenure_~n | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -1.341161 .7721429 -1.74 0.084 -2.86153 .1792073 + MV1_female | -.1181062 .063374 -1.86 0.063 -.2428912 .0066787 +femaleXMV1_female | .2249661 .0815001 2.76 0.006 .0644903 .3854419 + _cons | 3.170439 .6149297 5.16 0.000 1.959627 4.381251 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,085 missing values generated) +(62,249 missing values generated) +(164 real changes made) +(sum of wgt is 524.2372331619263) + +Linear regression Number of obs = 264 + F(3, 263) = 7.64 + Prob > F = 0.0001 + R-squared = 0.0776 + Root MSE = 3.3267 + + (Std. Err. adjusted for 264 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust +sponsor_tenure_~n | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -1.490594 .8397524 -1.78 0.077 -3.144087 .1628999 + MV1_female | -.1157798 .0684275 -1.69 0.092 -.2505153 .0189557 +femaleXMV1_female | .2420935 .0851966 2.84 0.005 .0743392 .4098478 + _cons | 3.165581 .695503 4.55 0.000 1.796119 4.535044 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(57,946 missing values generated) +(61,809 missing values generated) +(3,863 real changes made) +(sum of wgt is 8,808.59098601341) + +Linear regression Number of obs = 4,403 + F(1, 4402) = 85.77 + Prob > F = 0.0000 + R-squared = 0.0463 + Root MSE = 3.3063 + + (Std. Err. adjusted for 4,403 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust +sponsor_tenu~n | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -1.457068 .1573299 -9.26 0.000 -1.765513 -1.148622 + _cons | 5.594564 .0625895 89.39 0.000 5.471857 5.717271 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +sponsor_ro~e | 590 .1881356 .391152 0 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +sponsor_ro~e | 4,201 .1311592 .3376146 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 898 +----------------------+---------------------- NN matches = 3 + Number of obs | 500 398 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 25.67577 40.0236 .6415157 +---------------------------------------------- + +Linear regression Number of obs = 4,791 + F(1, 4790) = 11.35 + Prob > F = 0.0008 + R-squared = 0.0029 + Root MSE = .34465 + + (Std. Err. adjusted for 4,791 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust +sponsor_rookie | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .0569763 .0169153 3.37 0.001 .0238146 .0901381 + _cons | .1311592 .0052094 25.18 0.000 .1209465 .141372 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 420 + F(3, 419) = 17.61 + Prob > F = 0.0000 + R-squared = 0.1067 + Root MSE = .44176 + + (Std. Err. adjusted for 420 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + sponsor_rookie | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .0937619 .098899 0.95 0.344 -.1006381 .2881618 + MV1_female | .0190762 .0035625 5.35 0.000 .0120736 .0260789 +femaleXMV1_female | -.0406197 .006021 -6.75 0.000 -.0524549 -.0287846 + _cons | .5490272 .0617839 8.89 0.000 .4275822 .6704722 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(61,929 missing values generated) +(62,198 missing values generated) +(269 real changes made) +(sum of wgt is 837.355175614357) + +Linear regression Number of obs = 420 + F(3, 419) = 18.74 + Prob > F = 0.0000 + R-squared = 0.1193 + Root MSE = .44252 + + (Std. Err. adjusted for 420 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + sponsor_rookie | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .1100231 .102372 1.07 0.283 -.0912036 .3112497 + MV1_female | .0196699 .0035809 5.49 0.000 .0126311 .0267086 +femaleXMV1_female | -.0424209 .0061943 -6.85 0.000 -.0545967 -.0302451 + _cons | .5511389 .0630604 8.74 0.000 .4271847 .675093 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(57,946 missing values generated) +(61,809 missing values generated) +(3,863 real changes made) +(sum of wgt is 8,808.59098601341) + +Linear regression Number of obs = 4,403 + F(1, 4402) = 4.98 + Prob > F = 0.0257 + R-squared = 0.0039 + Root MSE = .36532 + + (Std. Err. adjusted for 4,403 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust +sponsor_rookie | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .0459168 .0205761 2.23 0.026 .0055774 .0862563 + _cons | .1363342 .0055515 24.56 0.000 .1254504 .147218 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + sponsor_age | 589 55.64516 9.380001 32 80 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + sponsor_age | 4,199 53.73065 10.14291 27 89 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 897 +----------------------+---------------------- NN matches = 3 + Number of obs | 500 397 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 14.60984 26.25605 .556437 +---------------------------------------------- + +Linear regression Number of obs = 4,788 + F(1, 4787) = 21.10 + Prob > F = 0.0000 + R-squared = 0.0039 + Root MSE = 10.052 + + (Std. Err. adjusted for 4,788 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + sponsor_age | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | 1.914511 .4167651 4.59 0.000 1.09746 2.731562 + _cons | 53.73065 .1565412 343.24 0.000 53.42376 54.03754 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 217 + F(3, 216) = 1.64 + Prob > F = 0.1809 + R-squared = 0.0231 + Root MSE = 10.221 + + (Std. Err. adjusted for 217 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + sponsor_age | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | 1.769677 2.522529 0.70 0.484 -3.202248 6.741601 + MV1_female | -.1386686 .2226305 -0.62 0.534 -.577475 .3001378 +femaleXMV1_female | .4004329 .3097798 1.29 0.198 -.2101455 1.011011 + _cons | 49.60412 1.902757 26.07 0.000 45.85377 53.35447 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,131 missing values generated) +(62,262 missing values generated) +(131 real changes made) +(sum of wgt is 432.0447381734848) + +Linear regression Number of obs = 217 + F(3, 216) = 2.29 + Prob > F = 0.0798 + R-squared = 0.0363 + Root MSE = 10.084 + + (Std. Err. adjusted for 217 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + sponsor_age | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.0250116 2.793757 -0.01 0.993 -5.531527 5.481504 + MV1_female | -.0999666 .2362951 -0.42 0.673 -.565706 .3657728 +femaleXMV1_female | .5646199 .321382 1.76 0.080 -.0688264 1.198066 + _cons | 49.64366 2.164894 22.93 0.000 45.37664 53.91068 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(57,946 missing values generated) +(61,809 missing values generated) +(3,863 real changes made) +(sum of wgt is 8,800.2160358429) + +Linear regression Number of obs = 4,400 + F(1, 4399) = 5.38 + Prob > F = 0.0204 + R-squared = 0.0048 + Root MSE = 9.8046 + + (Std. Err. adjusted for 4,400 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + sponsor_age | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | 1.362438 .5875282 2.32 0.020 .2105872 2.514289 + _cons | 53.64582 .1649492 325.23 0.000 53.32243 53.9692 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + leader | 590 .0372881 .1896277 0 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + leader | 4,201 .1125922 .3161313 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 898 +----------------------+---------------------- NN matches = 3 + Number of obs | 500 398 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 23.01663 47.75025 .4820211 +---------------------------------------------- + +Linear regression Number of obs = 4,791 + F(1, 4790) = 66.98 + Prob > F = 0.0000 + R-squared = 0.0066 + Root MSE = .30343 + + (Std. Err. adjusted for 4,791 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + leader | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.0753041 .0092012 -8.18 0.000 -.0933427 -.0572655 + _cons | .1125922 .0048779 23.08 0.000 .1030294 .1221551 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 380 + F(3, 379) = 5.57 + Prob > F = 0.0010 + R-squared = 0.0267 + Root MSE = .23163 + + (Std. Err. adjusted for 380 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + leader | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.0290357 .0336213 -0.86 0.388 -.0951433 .0370719 + MV1_female | -.0044699 .0026508 -1.69 0.093 -.0096821 .0007423 +femaleXMV1_female | .0066471 .0030718 2.16 0.031 .0006071 .012687 + _cons | .0243335 .0316373 0.77 0.442 -.0378732 .0865402 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(61,969 missing values generated) +(62,207 missing values generated) +(238 real changes made) +(sum of wgt is 756.7074077129364) + +Linear regression Number of obs = 380 + F(3, 379) = 5.89 + Prob > F = 0.0006 + R-squared = 0.0346 + Root MSE = .21678 + + (Std. Err. adjusted for 380 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + leader | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.0400962 .0421257 -0.95 0.342 -.1229255 .0427331 + MV1_female | -.0041324 .0031889 -1.30 0.196 -.0104026 .0021378 +femaleXMV1_female | .0059795 .0035036 1.71 0.089 -.0009095 .0128684 + _cons | .0340471 .0407528 0.84 0.404 -.0460827 .114177 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(57,946 missing values generated) +(61,809 missing values generated) +(3,863 real changes made) +(sum of wgt is 8,808.59098601341) + +Linear regression Number of obs = 4,403 + F(1, 4402) = 160.20 + Prob > F = 0.0000 + R-squared = 0.0380 + Root MSE = .24235 + + (Std. Err. adjusted for 4,403 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + leader | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.0962603 .0076052 -12.66 0.000 -.1111703 -.0813502 + _cons | .1134424 .0051629 21.97 0.000 .1033205 .1235644 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + borninstate | 587 .439523 .4967524 0 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + borninstate | 4,188 .6860076 .4641687 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 892 +----------------------+---------------------- NN matches = 3 + Number of obs | 496 396 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 18.15672 32.77455 .5539884 +---------------------------------------------- + +Linear regression Number of obs = 4,775 + F(1, 4774) = 128.91 + Prob > F = 0.0000 + R-squared = 0.0290 + Root MSE = .46829 + + (Std. Err. adjusted for 4,775 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + borninstate | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.2464846 .0217093 -11.35 0.000 -.2890449 -.2039244 + _cons | .6860076 .0071732 95.64 0.000 .6719449 .7000704 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 282 + F(3, 281) = 7.80 + Prob > F = 0.0001 + R-squared = 0.0787 + Root MSE = .47983 + + (Std. Err. adjusted for 282 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + borninstate | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.2515708 .1203763 -2.09 0.038 -.4885246 -.014617 + MV1_female | -.0020792 .0067642 -0.31 0.759 -.0153942 .0112358 +femaleXMV1_female | .0005992 .0111286 0.05 0.957 -.0213067 .0225052 + _cons | .6505778 .0746428 8.72 0.000 .5036478 .7975078 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,063 missing values generated) +(62,239 missing values generated) +(176 real changes made) +(sum of wgt is 562.6778956651688) + +Linear regression Number of obs = 282 + F(3, 281) = 4.42 + Prob > F = 0.0047 + R-squared = 0.0547 + Root MSE = .48777 + + (Std. Err. adjusted for 282 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + borninstate | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.1291982 .1298716 -0.99 0.321 -.3848429 .1264465 + MV1_female | -.0027958 .0070782 -0.39 0.693 -.0167288 .0111371 +femaleXMV1_female | -.0046749 .011935 -0.39 0.696 -.0281683 .0188185 + _cons | .6291087 .07851 8.01 0.000 .4745663 .7836511 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(57,946 missing values generated) +(61,809 missing values generated) +(3,863 real changes made) +(sum of wgt is 8,757.95402216911) + +Linear regression Number of obs = 4,387 + F(1, 4386) = 58.50 + Prob > F = 0.0000 + R-squared = 0.0512 + Root MSE = .4825 + + (Std. Err. adjusted for 4,387 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + borninstate | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.2240354 .0292916 -7.65 0.000 -.2814617 -.166609 + _cons | .6806943 .0075923 89.66 0.000 .6658096 .695579 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + ivycoll | 587 .0545145 .2272237 0 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + ivycoll | 4,169 .1014632 .3019773 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 888 +----------------------+---------------------- NN matches = 3 + Number of obs | 492 396 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 17.99248 33.31159 .5401267 +---------------------------------------------- + +Linear regression Number of obs = 4,756 + F(1, 4755) = 20.09 + Prob > F = 0.0000 + R-squared = 0.0028 + Root MSE = .29379 + + (Std. Err. adjusted for 4,756 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + ivycoll | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.0469487 .0104748 -4.48 0.000 -.0674841 -.0264133 + _cons | .1014632 .0046773 21.69 0.000 .0922935 .1106329 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 276 + F(3, 275) = 0.51 + Prob > F = 0.6742 + R-squared = 0.0047 + Root MSE = .29856 + + (Std. Err. adjusted for 276 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + ivycoll | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.0378385 .0633262 -0.60 0.551 -.1625041 .0868271 + MV1_female | -.0017515 .0044163 -0.40 0.692 -.0104456 .0069426 +femaleXMV1_female | .0037941 .0060865 0.62 0.534 -.008188 .0157761 + _cons | .0949297 .0472938 2.01 0.046 .0018258 .1880337 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,066 missing values generated) +(62,242 missing values generated) +(176 real changes made) +(sum of wgt is 552.4403859376907) + +Linear regression Number of obs = 276 + F(3, 275) = 0.37 + Prob > F = 0.7754 + R-squared = 0.0042 + Root MSE = .28954 + + (Std. Err. adjusted for 276 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + ivycoll | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.03669 .0678143 -0.54 0.589 -.170191 .0968111 + MV1_female | -.0017725 .0043711 -0.41 0.685 -.0103777 .0068326 +femaleXMV1_female | .0053793 .0072697 0.74 0.460 -.0089319 .0196905 + _cons | .085321 .0458097 1.86 0.064 -.0048612 .1755033 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(57,946 missing values generated) +(61,809 missing values generated) +(3,863 real changes made) +(sum of wgt is 8,733.35051560402) + +Linear regression Number of obs = 4,368 + F(1, 4367) = 38.36 + Prob > F = 0.0000 + R-squared = 0.0130 + Root MSE = .25775 + + (Std. Err. adjusted for 4,368 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + ivycoll | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.059252 .0095668 -6.19 0.000 -.0780078 -.0404961 + _cons | .1021913 .0049404 20.68 0.000 .0925057 .111877 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + occ0 | 581 .253012 .4351124 0 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + occ0 | 4,178 .1685017 .374356 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 884 +----------------------+---------------------- NN matches = 3 + Number of obs | 492 392 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 19.10431 35.47992 .5384542 +---------------------------------------------- + +Linear regression Number of obs = 4,759 + F(1, 4758) = 19.90 + Prob > F = 0.0000 + R-squared = 0.0052 + Root MSE = .38228 + + (Std. Err. adjusted for 4,759 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + occ0 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .0845104 .0189468 4.46 0.000 .0473659 .1216549 + _cons | .1685017 .0057922 29.09 0.000 .1571464 .179857 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 287 + F(3, 286) = 1.91 + Prob > F = 0.1285 + R-squared = 0.0256 + Root MSE = .34063 + + (Std. Err. adjusted for 287 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + occ0 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.0289525 .0844294 -0.34 0.732 -.1951343 .1372293 + MV1_female | .0026313 .0039955 0.66 0.511 -.005233 .0104955 +femaleXMV1_female | .0068056 .0079802 0.85 0.394 -.0089017 .0225129 + _cons | .1283764 .0484017 2.65 0.008 .0331075 .2236452 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,053 missing values generated) +(62,235 missing values generated) +(182 real changes made) +(sum of wgt is 570.0657125711441) + +Linear regression Number of obs = 287 + F(3, 286) = 1.32 + Prob > F = 0.2692 + R-squared = 0.0215 + Root MSE = .34036 + + (Std. Err. adjusted for 287 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + occ0 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.0521406 .0806806 -0.65 0.519 -.2109437 .1066625 + MV1_female | .002716 .0042534 0.64 0.524 -.005656 .011088 +femaleXMV1_female | .0066406 .0078495 0.85 0.398 -.0088095 .0220907 + _cons | .1304155 .0513189 2.54 0.012 .0294048 .2314261 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(57,946 missing values generated) +(61,809 missing values generated) +(3,863 real changes made) +(sum of wgt is 8,712.50798380375) + +Linear regression Number of obs = 4,371 + F(1, 4370) = 12.43 + Prob > F = 0.0004 + R-squared = 0.0132 + Root MSE = .40721 + + (Std. Err. adjusted for 4,371 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + occ0 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .0941606 .0267119 3.53 0.000 .0417918 .1465294 + _cons | .1667033 .0060543 27.53 0.000 .1548338 .1785728 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + occ1 | 581 .2134251 .4100784 0 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + occ1 | 4,178 .0868837 .2816982 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 884 +----------------------+---------------------- NN matches = 3 + Number of obs | 492 392 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 20.97493 35.47673 .5912306 +---------------------------------------------- + +Linear regression Number of obs = 4,759 + F(1, 4758) = 51.98 + Prob > F = 0.0000 + R-squared = 0.0187 + Root MSE = .3003 + + (Std. Err. adjusted for 4,759 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + occ1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .1265415 .0175516 7.21 0.000 .0921322 .1609508 + _cons | .0868837 .0043585 19.93 0.000 .078339 .0954284 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 333 + F(3, 332) = 1.67 + Prob > F = 0.1738 + R-squared = 0.0172 + Root MSE = .32071 + + (Std. Err. adjusted for 333 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + occ1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .0818821 .0778188 1.05 0.293 -.071198 .2349623 + MV1_female | .0009827 .0030769 0.32 0.750 -.00507 .0070354 +femaleXMV1_female | -.0015999 .006123 -0.26 0.794 -.0136446 .0104449 + _cons | .0966998 .0416763 2.32 0.021 .0147169 .1786827 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,006 missing values generated) +(62,224 missing values generated) +(218 real changes made) +(sum of wgt is 661.6102056503296) + +Linear regression Number of obs = 333 + F(3, 332) = 1.25 + Prob > F = 0.2921 + R-squared = 0.0138 + Root MSE = .32749 + + (Std. Err. adjusted for 333 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + occ1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .0883672 .0805249 1.10 0.273 -.0700361 .2467706 + MV1_female | .0004987 .0031077 0.16 0.873 -.0056146 .006612 +femaleXMV1_female | -.0022849 .0063654 -0.36 0.720 -.0148066 .0102368 + _cons | .090551 .0408666 2.22 0.027 .0101609 .1709411 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(57,946 missing values generated) +(61,809 missing values generated) +(3,863 real changes made) +(sum of wgt is 8,712.50798380375) + +Linear regression Number of obs = 4,371 + F(1, 4370) = 18.55 + Prob > F = 0.0000 + R-squared = 0.0159 + Root MSE = .33119 + + (Std. Err. adjusted for 4,371 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + occ1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .0841697 .0195413 4.31 0.000 .0458588 .1224806 + _cons | .085824 .0045686 18.79 0.000 .0768672 .0947807 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + occ2 | 581 .0860585 .2806921 0 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + occ2 | 4,178 .3243179 .4681754 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 884 +----------------------+---------------------- NN matches = 3 + Number of obs | 492 392 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 23.04299 39.83709 .5784304 +---------------------------------------------- + +Linear regression Number of obs = 4,759 + F(1, 4758) = 302.11 + Prob > F = 0.0000 + R-squared = 0.0292 + Root MSE = .44952 + + (Std. Err. adjusted for 4,759 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + occ2 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.2382593 .0137078 -17.38 0.000 -.2651329 -.2113857 + _cons | .3243179 .0072438 44.77 0.000 .3101167 .338519 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 370 + F(3, 369) = 7.91 + Prob > F = 0.0000 + R-squared = 0.0508 + Root MSE = .37501 + + (Std. Err. adjusted for 370 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + occ2 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.0961997 .0754001 -1.28 0.203 -.2444675 .052068 + MV1_female | -.004598 .0041526 -1.11 0.269 -.0127637 .0035677 +femaleXMV1_female | .0031797 .0054602 0.58 0.561 -.0075572 .0139167 + _cons | .1849519 .0568641 3.25 0.001 .0731336 .2967703 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(61,969 missing values generated) +(62,207 missing values generated) +(238 real changes made) +(sum of wgt is 735.6118830442429) + +Linear regression Number of obs = 370 + F(3, 369) = 7.87 + Prob > F = 0.0000 + R-squared = 0.0536 + Root MSE = .35716 + + (Std. Err. adjusted for 370 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + occ2 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.0590543 .0846282 -0.70 0.486 -.2254684 .1073598 + MV1_female | -.0042444 .0041684 -1.02 0.309 -.0124412 .0039523 +femaleXMV1_female | .0002503 .0057332 0.04 0.965 -.0110234 .0115241 + _cons | .1851941 .0573047 3.23 0.001 .0725094 .2978787 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(57,946 missing values generated) +(61,809 missing values generated) +(3,863 real changes made) +(sum of wgt is 8,712.50798380375) + +Linear regression Number of obs = 4,371 + F(1, 4370) = 194.64 + Prob > F = 0.0000 + R-squared = 0.0848 + Root MSE = .38586 + + (Std. Err. adjusted for 4,371 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + occ2 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.2347937 .0168294 -13.95 0.000 -.2677879 -.2017995 + _cons | .3212304 .0075785 42.39 0.000 .3063728 .3360881 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + occ3 | 581 .0292599 .1686794 0 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + occ3 | 4,178 .0615127 .2402971 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 884 +----------------------+---------------------- NN matches = 3 + Number of obs | 492 392 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 23.32096 44.3458 .5258887 +---------------------------------------------- + +Linear regression Number of obs = 4,759 + F(1, 4758) = 16.58 + Prob > F = 0.0000 + R-squared = 0.0021 + Root MSE = .23275 + + (Std. Err. adjusted for 4,759 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + occ3 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.0322528 .0079203 -4.07 0.000 -.0477803 -.0167253 + _cons | .0615127 .003718 16.54 0.000 .0542238 .0688016 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 379 + F(3, 378) = 1.28 + Prob > F = 0.2795 + R-squared = 0.0077 + Root MSE = .24858 + + (Std. Err. adjusted for 379 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + occ3 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.0190353 .0418163 -0.46 0.649 -.1012569 .0631864 + MV1_female | -.0027209 .0025053 -1.09 0.278 -.0076469 .0022052 +femaleXMV1_female | .0052093 .003371 1.55 0.123 -.0014189 .0118375 + _cons | .0399004 .0329708 1.21 0.227 -.0249289 .1047296 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(61,960 missing values generated) +(62,207 missing values generated) +(247 real changes made) +(sum of wgt is 753.2894883155823) + +Linear regression Number of obs = 379 + F(3, 378) = 0.80 + Prob > F = 0.4932 + R-squared = 0.0076 + Root MSE = .24041 + + (Std. Err. adjusted for 379 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + occ3 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.0092959 .0472983 -0.20 0.844 -.1022965 .0837048 + MV1_female | -.0026881 .0026696 -1.01 0.315 -.0079372 .002561 +femaleXMV1_female | .0038167 .0034046 1.12 0.263 -.0028777 .0105111 + _cons | .0419297 .0353208 1.19 0.236 -.0275203 .1113796 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(57,946 missing values generated) +(61,809 missing values generated) +(3,863 real changes made) +(sum of wgt is 8,712.50798380375) + +Linear regression Number of obs = 4,371 + F(1, 4370) = 30.44 + Prob > F = 0.0000 + R-squared = 0.0095 + Root MSE = .20264 + + (Std. Err. adjusted for 4,371 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + occ3 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.0397684 .0072076 -5.52 0.000 -.053899 -.0256377 + _cons | .0631111 .0039677 15.91 0.000 .0553324 .0708899 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + occ4 | 581 .0998279 .3000287 0 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + occ4 | 4,178 .1859742 .3891324 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 884 +----------------------+---------------------- NN matches = 3 + Number of obs | 492 392 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 17.56572 35.19274 .4991292 +---------------------------------------------- + +Linear regression Number of obs = 4,759 + F(1, 4758) = 38.86 + Prob > F = 0.0000 + R-squared = 0.0055 + Root MSE = .37939 + + (Std. Err. adjusted for 4,759 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + occ4 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.0861463 .0138197 -6.23 0.000 -.1132392 -.0590533 + _cons | .1859742 .0060208 30.89 0.000 .1741706 .1977777 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 268 + F(3, 267) = 3.92 + Prob > F = 0.0092 + R-squared = 0.0396 + Root MSE = .40662 + + (Std. Err. adjusted for 268 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + occ4 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .0876586 .0973076 0.90 0.368 -.1039292 .2792463 + MV1_female | -.0128567 .0061984 -2.07 0.039 -.0250607 -.0006527 +femaleXMV1_female | .0038667 .0090495 0.43 0.670 -.0139507 .0216841 + _cons | .1379693 .0616075 2.24 0.026 .016671 .2592677 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,072 missing values generated) +(62,244 missing values generated) +(172 real changes made) +(sum of wgt is 531.272495508194) + +Linear regression Number of obs = 268 + F(3, 267) = 2.73 + Prob > F = 0.0442 + R-squared = 0.0354 + Root MSE = .39869 + + (Std. Err. adjusted for 268 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + occ4 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .0762372 .0936546 0.81 0.416 -.1081582 .2606327 + MV1_female | -.0148209 .0062377 -2.38 0.018 -.0271022 -.0025396 +femaleXMV1_female | .0107535 .0093493 1.15 0.251 -.0076542 .0291612 + _cons | .1130585 .0589295 1.92 0.056 -.0029671 .2290841 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(57,946 missing values generated) +(61,809 missing values generated) +(3,863 real changes made) +(sum of wgt is 8,712.50798380375) + +Linear regression Number of obs = 4,371 + F(1, 4370) = 44.28 + Prob > F = 0.0000 + R-squared = 0.0231 + Root MSE = .3407 + + (Std. Err. adjusted for 4,371 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + occ4 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.1047299 .0157386 -6.65 0.000 -.1355855 -.0738742 + _cons | .1898617 .0063412 29.94 0.000 .1774297 .2022936 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + occ6 | 581 .313253 .464216 0 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + occ6 | 4,178 .1476783 .3548233 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 884 +----------------------+---------------------- NN matches = 3 + Number of obs | 492 392 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 17.7139 31.9888 .5537534 +---------------------------------------------- + +Linear regression Number of obs = 4,759 + F(1, 4758) = 68.44 + Prob > F = 0.0000 + R-squared = 0.0210 + Root MSE = .3699 + + (Std. Err. adjusted for 4,759 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + occ6 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .1655747 .0200141 8.27 0.000 .1263379 .2048115 + _cons | .1476783 .0054899 26.90 0.000 .1369155 .1584411 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 272 + F(3, 271) = 2.44 + Prob > F = 0.0646 + R-squared = 0.0271 + Root MSE = .44941 + + (Std. Err. adjusted for 272 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + occ6 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.0458948 .117754 -0.39 0.697 -.2777238 .1859342 + MV1_female | .0095588 .0064495 1.48 0.139 -.0031387 .0222563 +femaleXMV1_female | -.0015027 .0112432 -0.13 0.894 -.0236377 .0206323 + _cons | .334014 .0731828 4.56 0.000 .1899348 .4780931 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,068 missing values generated) +(62,243 missing values generated) +(175 real changes made) +(sum of wgt is 539.7586525678635) + +Linear regression Number of obs = 272 + F(3, 271) = 2.56 + Prob > F = 0.0551 + R-squared = 0.0285 + Root MSE = .4572 + + (Std. Err. adjusted for 272 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + occ6 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.0712118 .1316356 -0.54 0.589 -.3303702 .1879466 + MV1_female | .0113564 .0066822 1.70 0.090 -.0017992 .0245121 +femaleXMV1_female | -.0026129 .0124849 -0.21 0.834 -.0271926 .0219669 + _cons | .3576745 .0777367 4.60 0.000 .2046299 .5107191 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(57,946 missing values generated) +(61,809 missing values generated) +(3,863 real changes made) +(sum of wgt is 8,712.50798380375) + +Linear regression Number of obs = 4,371 + F(1, 4370) = 59.99 + Prob > F = 0.0000 + R-squared = 0.0643 + Root MSE = .42356 + + (Std. Err. adjusted for 4,371 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + occ6 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .2219924 .0286625 7.75 0.000 .1657995 .2781854 + _cons | .1479319 .0057984 25.51 0.000 .136564 .1592997 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + black | 590 .1576271 .3647002 0 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + black | 4,201 .0654606 .2473663 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 898 +----------------------+---------------------- NN matches = 3 + Number of obs | 500 398 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 10.30635 23.93233 .4306455 +---------------------------------------------- + +Linear regression Number of obs = 4,791 + F(1, 4790) = 35.44 + Prob > F = 0.0000 + R-squared = 0.0129 + Root MSE = .26462 + + (Std. Err. adjusted for 4,791 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + black | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .0921665 .0154827 5.95 0.000 .0618133 .1225197 + _cons | .0654606 .0038168 17.15 0.000 .0579779 .0729434 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 151 + F(2, 150) = . + Prob > F = . + R-squared = 0.0209 + Root MSE = .08134 + + (Std. Err. adjusted for 151 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + black | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.0039406 .0048969 -0.80 0.422 -.0136163 .0057352 + MV1_female | 9.81e-18 8.50e-18 1.15 0.250 -6.98e-18 2.66e-17 +femaleXMV1_female | .0041709 .004232 0.99 0.326 -.0041912 .0125329 + _cons | 5.03e-17 2.40e-17 2.09 0.038 2.81e-18 9.78e-17 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,198 missing values generated) +(62,290 missing values generated) +(92 real changes made) +(sum of wgt is 302.0920723676682) + +Linear regression Number of obs = 151 + F(2, 150) = . + Prob > F = . + R-squared = 0.0338 + Root MSE = .12609 + + (Std. Err. adjusted for 151 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + black | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.0082442 .0104384 -0.79 0.431 -.0288695 .0123811 + MV1_female | 0 1.55e-17 0.00 1.000 -3.07e-17 3.07e-17 +femaleXMV1_female | .0076949 .0076927 1.00 0.319 -.007505 .0228949 + _cons | 1.39e-17 1.11e-16 0.12 0.901 -2.05e-16 2.33e-16 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(57,946 missing values generated) +(61,809 missing values generated) +(3,863 real changes made) +(sum of wgt is 8,808.59098601341) + +Linear regression Number of obs = 4,403 + F(1, 4402) = 4.55 + Prob > F = 0.0330 + R-squared = 0.0023 + Root MSE = .26731 + + (Std. Err. adjusted for 4,403 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + black | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .0258443 .0121145 2.13 0.033 .0020937 .0495948 + _cons | .0646865 .0041515 15.58 0.000 .0565474 .0728255 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + sponsor_NE | 406 .1847291 .3885564 0 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + sponsor_NE | 2,099 .2510719 .4337332 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 443 +----------------------+---------------------- NN matches = 3 + Number of obs | 174 269 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 19.23593 31.8411 .6041227 +---------------------------------------------- + +Linear regression Number of obs = 2,505 + F(1, 2504) = 9.55 + Prob > F = 0.0020 + R-squared = 0.0033 + Root MSE = .42675 + + (Std. Err. adjusted for 2,505 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + sponsor_NE | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.0663429 .0214685 -3.09 0.002 -.1084408 -.024245 + _cons | .2510719 .0094686 26.52 0.000 .2325048 .2696391 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 131 + F(3, 130) = 0.74 + Prob > F = 0.5280 + R-squared = 0.0199 + Root MSE = .43201 + + (Std. Err. adjusted for 131 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + sponsor_NE | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.2064244 .1596226 -1.29 0.198 -.5222187 .1093699 + MV1_female | .0108404 .0099225 1.09 0.277 -.0087901 .0304709 +femaleXMV1_female | -.010181 .0134311 -0.76 0.450 -.0367527 .0163907 + _cons | .4057587 .1270699 3.19 0.002 .1543662 .6571512 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,218 missing values generated) +(62,276 missing values generated) +(58 real changes made) +(sum of wgt is 249.2754527330399) + +Linear regression Number of obs = 131 + F(3, 130) = 0.14 + Prob > F = 0.9377 + R-squared = 0.0032 + Root MSE = .42751 + + (Std. Err. adjusted for 131 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + sponsor_NE | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.0639106 .1643156 -0.39 0.698 -.3889893 .2611681 + MV1_female | .0057049 .0089512 0.64 0.525 -.012004 .0234138 +femaleXMV1_female | -.0054055 .0136888 -0.39 0.694 -.0324872 .0216761 + _cons | .2912225 .1181797 2.46 0.015 .057418 .525027 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,071 missing values generated) +(61,989 missing values generated) +(1,918 real changes made) +(sum of wgt is 4,580.99417161942) + +Linear regression Number of obs = 2,278 + F(1, 2277) = 0.27 + Prob > F = 0.6055 + R-squared = 0.0004 + Root MSE = .40289 + + (Std. Err. adjusted for 2,278 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + sponsor_NE | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.0163734 .0316991 -0.52 0.606 -.0785356 .0457888 + _cons | .2120091 .0092373 22.95 0.000 .1938946 .2301236 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + sponsor_MW | 406 .2167488 .4125384 0 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + sponsor_MW | 2,099 .2296332 .4206971 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 443 +----------------------+---------------------- NN matches = 3 + Number of obs | 174 269 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 18.61468 35.81232 .5197841 +---------------------------------------------- + +Linear regression Number of obs = 2,505 + F(1, 2504) = 0.33 + Prob > F = 0.5656 + R-squared = 0.0001 + Root MSE = .41939 + + (Std. Err. adjusted for 2,505 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + sponsor_MW | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.0128844 .0224239 -0.57 0.566 -.0568556 .0310869 + _cons | .2296332 .009184 25.00 0.000 .2116241 .2476422 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 125 + F(3, 124) = 1.06 + Prob > F = 0.3709 + R-squared = 0.0190 + Root MSE = .39651 + + (Std. Err. adjusted for 125 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + sponsor_MW | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .1426715 .1352841 1.05 0.294 -.1250936 .4104366 + MV1_female | -.0057199 .0089936 -0.64 0.526 -.0235208 .0120809 +femaleXMV1_female | -.006162 .0117819 -0.52 0.602 -.0294816 .0171576 + _cons | .1479255 .0963446 1.54 0.127 -.0427675 .3386185 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,224 missing values generated) +(62,278 missing values generated) +(54 real changes made) +(sum of wgt is 237.5823001861572) + +Linear regression Number of obs = 125 + F(3, 124) = 1.49 + Prob > F = 0.2207 + R-squared = 0.0320 + Root MSE = .41092 + + (Std. Err. adjusted for 125 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + sponsor_MW | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .2122565 .1533275 1.38 0.169 -.0912215 .5157345 + MV1_female | -.0098884 .0100161 -0.99 0.325 -.029713 .0099362 +femaleXMV1_female | -.0057934 .0133512 -0.43 0.665 -.0322191 .0206324 + _cons | .134289 .1050674 1.28 0.204 -.0736688 .3422467 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,071 missing values generated) +(61,989 missing values generated) +(1,918 real changes made) +(sum of wgt is 4,580.99417161942) + +Linear regression Number of obs = 2,278 + F(1, 2277) = 0.00 + Prob > F = 0.9611 + R-squared = 0.0000 + Root MSE = .42896 + + (Std. Err. adjusted for 2,278 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + sponsor_MW | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .0016017 .0328472 0.05 0.961 -.0628119 .0660154 + _cons | .2419814 .009903 24.44 0.000 .2225616 .2614012 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + sponsor_SO | 406 .1600985 .3671498 0 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + sponsor_SO | 2,099 .3425441 .4746735 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 443 +----------------------+---------------------- NN matches = 3 + Number of obs | 174 269 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 19.01023 33.95644 .5598418 +---------------------------------------------- + +Linear regression Number of obs = 2,505 + F(1, 2504) = 75.85 + Prob > F = 0.0000 + R-squared = 0.0210 + Root MSE = .45899 + + (Std. Err. adjusted for 2,505 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + sponsor_SO | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.1824455 .0209486 -8.71 0.000 -.2235238 -.1413672 + _cons | .3425441 .0103624 33.06 0.000 .3222244 .3628637 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 127 + F(3, 126) = 3.79 + Prob > F = 0.0121 + R-squared = 0.0714 + Root MSE = .42512 + + (Std. Err. adjusted for 127 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + sponsor_SO | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.2481038 .1494993 -1.66 0.099 -.5439585 .047751 + MV1_female | -.0073306 .0117657 -0.62 0.534 -.0306146 .0159534 +femaleXMV1_female | .0208146 .0142549 1.46 0.147 -.0073955 .0490247 + _cons | .2909547 .1313775 2.21 0.029 .0309626 .5509469 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,222 missing values generated) +(62,277 missing values generated) +(55 real changes made) +(sum of wgt is 242.5370236635208) + +Linear regression Number of obs = 127 + F(3, 126) = 1.16 + Prob > F = 0.3266 + R-squared = 0.0380 + Root MSE = .4355 + + (Std. Err. adjusted for 127 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + sponsor_SO | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.0432932 .1600652 -0.27 0.787 -.3600576 .2734712 + MV1_female | -.0134949 .0110398 -1.22 0.224 -.0353422 .0083525 +femaleXMV1_female | .0300441 .0162397 1.85 0.067 -.0020938 .0621821 + _cons | .1356083 .110214 1.23 0.221 -.0825018 .3537185 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,071 missing values generated) +(61,989 missing values generated) +(1,918 real changes made) +(sum of wgt is 4,580.99417161942) + +Linear regression Number of obs = 2,278 + F(1, 2277) = 0.13 + Prob > F = 0.7158 + R-squared = 0.0004 + Root MSE = .46949 + + (Std. Err. adjusted for 2,278 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + sponsor_SO | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .0178104 .0489066 0.36 0.716 -.0780958 .1137167 + _cons | .3187099 .0105004 30.35 0.000 .2981186 .3393013 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + sponsor_WE | 406 .4384236 .4968061 0 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + sponsor_WE | 2,099 .1767508 .3815486 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 443 +----------------------+---------------------- NN matches = 3 + Number of obs | 174 269 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 18.90098 32.04971 .5897395 +---------------------------------------------- + +Linear regression Number of obs = 2,505 + F(1, 2504) = 101.25 + Prob > F = 0.0000 + R-squared = 0.0543 + Root MSE = .40244 + + (Std. Err. adjusted for 2,505 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + sponsor_WE | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .2616728 .0260055 10.06 0.000 .2106782 .3126674 + _cons | .1767508 .0083294 21.22 0.000 .1604176 .193084 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 127 + F(3, 126) = 5.77 + Prob > F = 0.0010 + R-squared = 0.1132 + Root MSE = .43818 + + (Std. Err. adjusted for 127 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + sponsor_WE | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .3290819 .1589571 2.07 0.040 .0145104 .6436533 + MV1_female | .0040867 .0096838 0.42 0.674 -.0150772 .0232506 +femaleXMV1_female | -.0113089 .0141841 -0.80 0.427 -.0393788 .016761 + _cons | .1677913 .1106649 1.52 0.132 -.0512113 .3867939 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,222 missing values generated) +(62,277 missing values generated) +(55 real changes made) +(sum of wgt is 242.5370236635208) + +Linear regression Number of obs = 127 + F(3, 126) = 1.00 + Prob > F = 0.3953 + R-squared = 0.0374 + Root MSE = .44965 + + (Std. Err. adjusted for 127 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + sponsor_WE | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.0883901 .2355645 -0.38 0.708 -.5545653 .377785 + MV1_female | .0200479 .0160853 1.25 0.215 -.0117845 .0518803 +femaleXMV1_female | -.026602 .0184893 -1.44 0.153 -.0631917 .0099876 + _cons | .4561909 .2106997 2.17 0.032 .0392224 .8731595 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,071 missing values generated) +(61,989 missing values generated) +(1,918 real changes made) +(sum of wgt is 4,580.99417161942) + +Linear regression Number of obs = 2,278 + F(1, 2277) = 0.01 + Prob > F = 0.9148 + R-squared = 0.0000 + Root MSE = .41827 + + (Std. Err. adjusted for 2,278 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + sponsor_WE | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.0030387 .0283915 -0.11 0.915 -.0587146 .0526372 + _cons | .2272995 .0104247 21.80 0.000 .2068567 .2477424 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + pct_black | 406 17.3828 18.74459 .5531912 70.98532 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + pct_black | 2,099 15.86604 18.78622 .0918472 92.06912 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 443 +----------------------+---------------------- NN matches = 3 + Number of obs | 174 269 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 12.34153 24.28682 .5081577 +---------------------------------------------- + +Linear regression Number of obs = 2,505 + F(1, 2504) = 2.23 + Prob > F = 0.1356 + R-squared = 0.0009 + Root MSE = 18.779 + + (Std. Err. adjusted for 2,505 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + pct_black | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | 1.516759 1.015957 1.49 0.136 -.4754431 3.508961 + _cons | 15.86604 .4101127 38.69 0.000 15.06184 16.67023 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 78 + F(3, 77) = 1.48 + Prob > F = 0.2277 + R-squared = 0.0323 + Root MSE = 8.8049 + + (Std. Err. adjusted for 78 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + pct_black | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -4.554973 2.875292 -1.58 0.117 -10.28041 1.170466 + MV1_female | .0198694 .4130907 0.05 0.962 -.8026993 .8424381 +femaleXMV1_female | .4275456 .573829 0.75 0.458 -.715094 1.570185 + _cons | 8.825744 2.391927 3.69 0.000 4.062809 13.58868 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,273 missing values generated) +(62,302 missing values generated) +(29 real changes made) +(sum of wgt is 155.9862657785416) + +Linear regression Number of obs = 76 + F(3, 75) = 2.33 + Prob > F = 0.0811 + R-squared = 0.1314 + Root MSE = 8.226 + + (Std. Err. adjusted for 76 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + pct_black | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .4855981 3.748304 0.13 0.897 -6.981406 7.952602 + MV1_female | -1.064316 .5647997 -1.88 0.063 -2.189455 .0608223 +femaleXMV1_female | 1.526605 .7190356 2.12 0.037 .0942127 2.958998 + _cons | 3.956179 3.244507 1.22 0.227 -2.507209 10.41957 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,071 missing values generated) +(61,989 missing values generated) +(1,918 real changes made) +(sum of wgt is 4,580.99417161942) + +Linear regression Number of obs = 2,278 + F(1, 2277) = 0.12 + Prob > F = 0.7294 + R-squared = 0.0002 + Root MSE = 18.176 + + (Std. Err. adjusted for 2,278 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + pct_black | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .4519693 1.306585 0.35 0.729 -2.110252 3.014191 + _cons | 15.38915 .444899 34.59 0.000 14.5167 16.2616 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + pct_urban | 406 89.05026 19.25993 5.86981 100 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + pct_urban | 2,099 74.31197 27.83106 0 100.0476 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 443 +----------------------+---------------------- NN matches = 3 + Number of obs | 174 269 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 26.4943 46.91317 .5647518 +---------------------------------------------- + +Linear regression Number of obs = 2,505 + F(1, 2504) = 169.53 + Prob > F = 0.0000 + R-squared = 0.0400 + Root MSE = 26.632 + + (Std. Err. adjusted for 2,505 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + pct_urban | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | 14.73829 1.131933 13.02 0.000 12.51867 16.95791 + _cons | 74.31197 .607566 122.31 0.000 73.12059 75.50336 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 174 + F(3, 173) = 2.36 + Prob > F = 0.0730 + R-squared = 0.0420 + Root MSE = 26.388 + + (Std. Err. adjusted for 174 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + pct_urban | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | 7.320225 7.858315 0.93 0.353 -8.190292 22.83074 + MV1_female | .3152997 .4244993 0.74 0.459 -.5225649 1.153164 +femaleXMV1_female | -.4108697 .5509951 -0.75 0.457 -1.498408 .6766687 + _cons | 72.67374 6.343747 11.46 0.000 60.15263 85.19484 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,175 missing values generated) +(62,256 missing values generated) +(81 real changes made) +(sum of wgt is 437.1416748762131) + +Linear regression Number of obs = 174 + F(3, 173) = 1.47 + Prob > F = 0.2251 + R-squared = 0.0873 + Root MSE = 24.434 + + (Std. Err. adjusted for 174 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + pct_urban | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | 5.838675 9.771045 0.60 0.551 -13.44713 25.12448 + MV1_female | -1.054445 .5377441 -1.96 0.051 -2.115828 .0069393 +femaleXMV1_female | 1.332276 .6714954 1.98 0.049 .0068979 2.657654 + _cons | 65.63284 6.759434 9.71 0.000 52.29126 78.97442 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,071 missing values generated) +(61,989 missing values generated) +(1,918 real changes made) +(sum of wgt is 4,580.99417161942) + +Linear regression Number of obs = 2,278 + F(1, 2277) = 0.04 + Prob > F = 0.8359 + R-squared = 0.0001 + Root MSE = 26.567 + + (Std. Err. adjusted for 2,278 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + pct_urban | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .5406382 2.609028 0.21 0.836 -4.575683 5.656959 + _cons | 75.49526 .6246611 120.86 0.000 74.27029 76.72022 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +pct_for_born | 406 17.31354 13.76209 .5351791 56.02679 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +pct_for_born | 2,099 9.734637 10.66096 .3678524 58.51513 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 443 +----------------------+---------------------- NN matches = 3 + Number of obs | 174 269 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 19.0928 35.60761 .5361999 +---------------------------------------------- + +Linear regression Number of obs = 2,505 + F(1, 2504) = 110.49 + Prob > F = 0.0000 + R-squared = 0.0584 + Root MSE = 11.221 + + (Std. Err. adjusted for 2,505 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + pct_for_born | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | 7.578904 .7210261 10.51 0.000 6.165035 8.992773 + _cons | 9.734637 .2327341 41.83 0.000 9.278266 10.19101 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 127 + F(3, 126) = 2.68 + Prob > F = 0.0500 + R-squared = 0.0539 + Root MSE = 7.5201 + + (Std. Err. adjusted for 127 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + pct_for_born | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | 2.85204 2.811772 1.01 0.312 -2.712375 8.416454 + MV1_female | .013257 .1313676 0.10 0.920 -.2467155 .2732296 +femaleXMV1_female | .0462065 .2683457 0.17 0.864 -.4848418 .5772548 + _cons | 6.110107 1.657907 3.69 0.000 2.829157 9.391057 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,222 missing values generated) +(62,277 missing values generated) +(55 real changes made) +(sum of wgt is 242.5370236635208) + +Linear regression Number of obs = 127 + F(3, 126) = 0.41 + Prob > F = 0.7450 + R-squared = 0.0103 + Root MSE = 6.8823 + + (Std. Err. adjusted for 127 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + pct_for_born | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.8857439 2.813651 -0.31 0.753 -6.453876 4.682388 + MV1_female | .1265516 .1700111 0.74 0.458 -.2098954 .4629987 +femaleXMV1_female | -.0734351 .2472681 -0.30 0.767 -.5627714 .4159011 + _cons | 8.312692 2.124996 3.91 0.000 4.107388 12.518 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,071 missing values generated) +(61,989 missing values generated) +(1,918 real changes made) +(sum of wgt is 4,580.99417161942) + +Linear regression Number of obs = 2,278 + F(1, 2277) = 0.40 + Prob > F = 0.5294 + R-squared = 0.0004 + Root MSE = 10.59 + + (Std. Err. adjusted for 2,278 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + pct_for_born | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.4447716 .707084 -0.63 0.529 -1.831368 .9418246 + _cons | 9.959139 .2731258 36.46 0.000 9.423537 10.49474 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +pct_age_o~65 | 406 12.16274 3.641203 5.899971 25.36679 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +pct_age_o~65 | 2,099 13.85395 4.100731 5.573297 38.99562 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 443 +----------------------+---------------------- NN matches = 3 + Number of obs | 174 269 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 16.26278 32.89846 .4943326 +---------------------------------------------- + +Linear regression Number of obs = 2,505 + F(1, 2504) = 70.42 + Prob > F = 0.0000 + R-squared = 0.0234 + Root MSE = 4.0299 + + (Std. Err. adjusted for 2,505 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust +pct_age_over65 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -1.691215 .2015333 -8.39 0.000 -2.086404 -1.296026 + _cons | 13.85395 .089521 154.76 0.000 13.67841 14.0295 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 109 + F(3, 108) = 0.59 + Prob > F = 0.6198 + R-squared = 0.0166 + Root MSE = 3.6459 + + (Std. Err. adjusted for 109 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + pct_age_over65 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -1.42491 1.453342 -0.98 0.329 -4.305686 1.455866 + MV1_female | .1408839 .1067749 1.32 0.190 -.0707624 .3525303 +femaleXMV1_female | -.1190949 .1533792 -0.78 0.439 -.4231192 .1849293 + _cons | 14.29358 1.100266 12.99 0.000 12.11266 16.4745 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,240 missing values generated) +(62,287 missing values generated) +(47 real changes made) +(sum of wgt is 208.1918572187424) + +Linear regression Number of obs = 109 + F(3, 108) = 0.15 + Prob > F = 0.9318 + R-squared = 0.0054 + Root MSE = 3.6656 + + (Std. Err. adjusted for 109 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + pct_age_over65 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .0387868 1.696287 0.02 0.982 -3.323549 3.401122 + MV1_female | .0593009 .1409744 0.42 0.675 -.2201348 .3387366 +femaleXMV1_female | -.1051404 .1873056 -0.56 0.576 -.4764127 .2661319 + _cons | 13.24404 1.406933 9.41 0.000 10.45525 16.03282 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,071 missing values generated) +(61,989 missing values generated) +(1,918 real changes made) +(sum of wgt is 4,580.99417161942) + +Linear regression Number of obs = 2,278 + F(1, 2277) = 0.41 + Prob > F = 0.5225 + R-squared = 0.0006 + Root MSE = 4.0248 + + (Std. Err. adjusted for 2,278 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust +pct_age_over65 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .2043267 .3194976 0.64 0.523 -.4222102 .8308636 + _cons | 13.78637 .0941073 146.50 0.000 13.60182 13.97091 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + lninc | 406 10.25197 .3325923 9.42521 11.00342 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + lninc | 2,099 10.15636 .3193754 9.040027 11.03544 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 443 +----------------------+---------------------- NN matches = 3 + Number of obs | 174 269 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 24.49054 45.16008 .542305 +---------------------------------------------- + +Linear regression Number of obs = 2,505 + F(1, 2504) = 28.51 + Prob > F = 0.0000 + R-squared = 0.0119 + Root MSE = .32155 + + (Std. Err. adjusted for 2,505 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + lninc | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .0956114 .0179057 5.34 0.000 .0604999 .1307228 + _cons | 10.15636 .0069721 1456.71 0.000 10.14269 10.17003 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 168 + F(3, 167) = 2.79 + Prob > F = 0.0422 + R-squared = 0.0486 + Root MSE = .32589 + + (Std. Err. adjusted for 168 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + lninc | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .167231 .0978511 1.71 0.089 -.0259536 .3604157 + MV1_female | .002668 .0042969 0.62 0.536 -.0058152 .0111512 +femaleXMV1_female | -.0094277 .0069434 -1.36 0.176 -.0231359 .0042804 + _cons | 10.28299 .0657501 156.40 0.000 10.15318 10.4128 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,181 missing values generated) +(62,261 missing values generated) +(80 real changes made) +(sum of wgt is 395.1519755125046) + +Linear regression Number of obs = 168 + F(3, 167) = 3.46 + Prob > F = 0.0177 + R-squared = 0.0895 + Root MSE = .2925 + + (Std. Err. adjusted for 168 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + lninc | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.0228418 .1019018 -0.22 0.823 -.2240236 .1783399 + MV1_female | .0123477 .0045931 2.69 0.008 .0032796 .0214157 +femaleXMV1_female | -.0197713 .007165 -2.76 0.006 -.033917 -.0056256 + _cons | 10.40818 .0708929 146.82 0.000 10.26822 10.54814 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,071 missing values generated) +(61,989 missing values generated) +(1,918 real changes made) +(sum of wgt is 4,580.99417161942) + +Linear regression Number of obs = 2,278 + F(1, 2277) = 0.07 + Prob > F = 0.7935 + R-squared = 0.0001 + Root MSE = .32011 + + (Std. Err. adjusted for 2,278 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + lninc | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .0062555 .0238913 0.26 0.793 -.0405955 .0531065 + _cons | 10.17413 .0076593 1328.33 0.000 10.15911 10.18915 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + lnpden | 406 .5788697 7.333087 -12.46987 10.70349 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + lnpden | 2,099 1.260644 7.275962 -12.60133 11.07475 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 443 +----------------------+---------------------- NN matches = 3 + Number of obs | 174 269 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 25.71774 44.09332 .583257 +---------------------------------------------- + +Linear regression Number of obs = 2,505 + F(1, 2504) = 2.95 + Prob > F = 0.0859 + R-squared = 0.0012 + Root MSE = 7.2852 + + (Std. Err. adjusted for 2,505 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + lnpden | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.6817744 .3968092 -1.72 0.086 -1.459882 .0963333 + _cons | 1.260644 .1588379 7.94 0.000 .9491771 1.572111 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 171 + F(3, 170) = 1.40 + Prob > F = 0.2433 + R-squared = 0.0259 + Root MSE = 7.118 + + (Std. Err. adjusted for 171 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + lnpden | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | 3.561887 2.276787 1.56 0.120 -.93253 8.056303 + MV1_female | -.0915691 .114089 -0.80 0.423 -.3167827 .1336444 +femaleXMV1_female | .0735691 .1495351 0.49 0.623 -.2216156 .3687538 + _cons | -.9845527 1.799779 -0.55 0.585 -4.537347 2.568242 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,178 missing values generated) +(62,259 missing values generated) +(81 real changes made) +(sum of wgt is 421.8151891231537) + +Linear regression Number of obs = 171 + F(3, 170) = 2.30 + Prob > F = 0.0788 + R-squared = 0.1041 + Root MSE = 6.4642 + + (Std. Err. adjusted for 171 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + lnpden | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | 3.226048 2.586142 1.25 0.214 -1.879039 8.331136 + MV1_female | -.3377322 .1332087 -2.54 0.012 -.6006885 -.0747759 +femaleXMV1_female | .3687147 .1747383 2.11 0.036 .0237784 .713651 + _cons | -1.880193 1.981254 -0.95 0.344 -5.791221 2.030835 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,071 missing values generated) +(61,989 missing values generated) +(1,918 real changes made) +(sum of wgt is 4,580.99417161942) + +Linear regression Number of obs = 2,278 + F(1, 2277) = 1.69 + Prob > F = 0.1941 + R-squared = 0.0018 + Root MSE = 6.9911 + + (Std. Err. adjusted for 2,278 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + lnpden | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .5988209 .4610152 1.30 0.194 -.3052329 1.502875 + _cons | 1.361601 .1703726 7.99 0.000 1.0275 1.695703 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +lag_demsha~1 | 283 .6791362 .1388131 .3295456 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +lag_demsha~1 | 1,347 .6771273 .1547428 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 314 +----------------------+---------------------- NN matches = 3 + Number of obs | 124 190 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 79.922 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 20.91037 37.63249 .5556469 +---------------------------------------------- + +Linear regression Number of obs = 1,630 + F(1, 1629) = 0.05 + Prob > F = 0.8283 + R-squared = 0.0000 + Root MSE = .1521 + + (Std. Err. adjusted for 1,630 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + lag_demshare1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .0020088 .0092583 0.22 0.828 -.0161507 .0201683 + _cons | .6771273 .0042173 160.56 0.000 .6688555 .6853992 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 104 + F(3, 103) = 4.72 + Prob > F = 0.0040 + R-squared = 0.0927 + Root MSE = .11824 + + (Std. Err. adjusted for 104 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + lag_demshare1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.0474663 .0495478 -0.96 0.340 -.1457326 .0508001 + MV1_female | -.0044144 .0035299 -1.25 0.214 -.011415 .0025863 +femaleXMV1_female | .0099039 .0039436 2.51 0.014 .0020827 .0177251 + _cons | .5151016 .0451621 11.41 0.000 .4255333 .6046699 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,207 missing values generated) +(62,274 missing values generated) +(67 real changes made) +(sum of wgt is 198.6848473548889) + +Linear regression Number of obs = 104 + F(3, 103) = 3.43 + Prob > F = 0.0198 + R-squared = 0.1034 + Root MSE = .11238 + + (Std. Err. adjusted for 104 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + lag_demshare1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.0402696 .0422165 -0.95 0.342 -.1239962 .0434569 + MV1_female | -.0049606 .0026202 -1.89 0.061 -.0101572 .000236 +femaleXMV1_female | .0102598 .0034566 2.97 0.004 .0034044 .0171152 + _cons | .5066278 .0297376 17.04 0.000 .4476502 .5656054 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,071 missing values generated) +(61,989 missing values generated) +(1,918 real changes made) +(sum of wgt is 2,936.12477052212) + +Linear regression Number of obs = 1,507 + F(1, 1506) = 1.46 + Prob > F = 0.2273 + R-squared = 0.0025 + Root MSE = .14398 + + (Std. Err. adjusted for 1,507 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + lag_demshare1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.0143632 .0118908 -1.21 0.227 -.0376875 .0089612 + _cons | .6720363 .0042567 157.88 0.000 .6636867 .680386 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + DSpndPct | 406 77.00303 21.17986 16.42093 100 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + DSpndPct | 2,099 76.46546 21.21605 1.008516 100 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 443 +----------------------+---------------------- NN matches = 3 + Number of obs | 174 269 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 19.39009 33.22381 .5836202 +---------------------------------------------- + +Linear regression Number of obs = 2,505 + F(1, 2504) = 0.22 + Prob > F = 0.6396 + R-squared = 0.0001 + Root MSE = 21.21 + + (Std. Err. adjusted for 2,505 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + DSpndPct | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .5375762 1.147853 0.47 0.640 -1.713263 2.788415 + _cons | 76.46546 .4631571 165.10 0.000 75.55725 77.37367 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 132 + F(3, 131) = 6.72 + Prob > F = 0.0003 + R-squared = 0.1296 + Root MSE = 15.243 + + (Std. Err. adjusted for 132 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + DSpndPct | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | 1.308589 5.317168 0.25 0.806 -9.210037 11.82722 + MV1_female | -1.135932 .3299941 -3.44 0.001 -1.788739 -.4831248 +femaleXMV1_female | 1.912082 .4573326 4.18 0.000 1.007369 2.816795 + _cons | 51.9528 4.137506 12.56 0.000 43.76782 60.13777 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,217 missing values generated) +(62,276 missing values generated) +(59 real changes made) +(sum of wgt is 251.1230635643005) + +Linear regression Number of obs = 132 + F(3, 131) = 6.13 + Prob > F = 0.0006 + R-squared = 0.1482 + Root MSE = 16.117 + + (Std. Err. adjusted for 132 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + DSpndPct | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | 1.586105 6.108227 0.26 0.796 -10.49743 13.66964 + MV1_female | -1.22438 .3657725 -3.35 0.001 -1.947965 -.5007946 +femaleXMV1_female | 2.257123 .5539307 4.07 0.000 1.161316 3.35293 + _cons | 50.573 4.645661 10.89 0.000 41.38278 59.76323 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,071 missing values generated) +(61,989 missing values generated) +(1,918 real changes made) +(sum of wgt is 4,580.99417161942) + +Linear regression Number of obs = 2,278 + F(1, 2277) = 0.00 + Prob > F = 0.9913 + R-squared = 0.0000 + Root MSE = 21.072 + + (Std. Err. adjusted for 2,278 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + DSpndPct | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.0208834 1.906945 -0.01 0.991 -3.760414 3.718647 + _cons | 77.97594 .4839214 161.13 0.000 77.02697 78.92491 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + absMV | 360 .3881601 .2442152 .0002862 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + absMV | 1,918 .3957318 .2765471 6.32e-06 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 443 +----------------------+---------------------- NN matches = 3 + Number of obs | 174 269 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 8.797248 17.89746 .4915361 +---------------------------------------------- + +Linear regression Number of obs = 2,278 + F(1, 2277) = 0.28 + Prob > F = 0.5972 + R-squared = 0.0001 + Root MSE = .2717 + + (Std. Err. adjusted for 2,278 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + absMV | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.0075717 .0143263 -0.53 0.597 -.0356657 .0205222 + _cons | .3957318 .0063157 62.66 0.000 .3833466 .4081169 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 57 + F(1, 56) = . + Prob > F = . + R-squared = 1.0000 + Root MSE = 0 + + (Std. Err. adjusted for 57 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + absMV | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -9.78e-10 6.82e-10 -1.43 0.157 -2.34e-09 3.88e-10 + MV1_female | -.01 1.58e-10 -6.3e+07 0.000 -.01 -.01 +femaleXMV1_female | .02 2.00e-10 1.0e+08 0.000 .02 .02 + _cons | 1.13e-09 5.75e-10 1.96 0.055 -2.54e-11 2.28e-09 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,303 missing values generated) +(62,321 missing values generated) +(18 real changes made) +(sum of wgt is 83.31954264640808) + +Linear regression Number of obs = 46 + F(0, 45) = . + Prob > F = . + R-squared = 1.0000 + Root MSE = 0 + + (Std. Err. adjusted for 46 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + absMV | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -2.20e-11 6.59e-10 -0.03 0.974 -1.35e-09 1.30e-09 + MV1_female | -.01 2.10e-10 -4.8e+07 0.000 -.01 -.01 +femaleXMV1_female | .02 2.26e-10 8.9e+07 0.000 .02 .02 + _cons | 2.33e-10 5.84e-10 0.40 0.692 -9.43e-10 1.41e-09 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,071 missing values generated) +(61,989 missing values generated) +(1,918 real changes made) +(sum of wgt is 4,580.99417161942) + +Linear regression Number of obs = 2,278 + F(1, 2277) = 0.87 + Prob > F = 0.3506 + R-squared = 0.0015 + Root MSE = .26014 + + (Std. Err. adjusted for 2,278 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + absMV | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.0199567 .0213769 -0.93 0.351 -.0618768 .0219635 + _cons | .3944121 .0061082 64.57 0.000 .382434 .4063903 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +sponsor_de~t | 406 1 0 1 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +sponsor_de~t | 2,099 1 0 1 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 443 +----------------------+---------------------- NN matches = 3 + Number of obs | 174 269 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | . . . +---------------------------------------------- + +Linear regression Number of obs = 2,505 + F(0, 2504) = . + Prob > F = . + R-squared = . + Root MSE = 0 + + (Std. Err. adjusted for 2,505 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust +sponsor_demo~t | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | 0 (omitted) + _cons | 1 . . . . . +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 443 + F(0, 442) = . + Prob > F = . + R-squared = . + Root MSE = 0 + + (Std. Err. adjusted for 443 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + sponsor_democrat | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | 0 (omitted) + MV1_female | 0 (omitted) +femaleXMV1_female | 0 (omitted) + _cons | 1 . . . . . +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(59,844 missing values generated) +(61,943 missing values generated) +(2,099 real changes made) +(sum of wgt is 2,048.71384584904) + +Linear regression Number of obs = 443 + F(0, 442) = . + Prob > F = . + R-squared = . + Root MSE = 0 + + (Std. Err. adjusted for 443 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + sponsor_democrat | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | 0 (omitted) + MV1_female | 0 (omitted) +femaleXMV1_female | 0 (omitted) + _cons | 1 . . . . . +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,071 missing values generated) +(61,989 missing values generated) +(1,918 real changes made) +(sum of wgt is 4,580.99417161942) + +Linear regression Number of obs = 2,278 + F(0, 2277) = . + Prob > F = . + R-squared = . + Root MSE = 0 + + (Std. Err. adjusted for 2,278 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust +sponsor_demo~t | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | 0 (omitted) + _cons | 1 . . . . . +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +sponsor_te~n | 406 4.273399 2.882323 1 14 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +sponsor_te~n | 2,099 6.089566 4.024067 1 20 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 443 +----------------------+---------------------- NN matches = 3 + Number of obs | 174 269 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 21.79687 37.17605 .5863149 +---------------------------------------------- + +Linear regression Number of obs = 2,505 + F(1, 2504) = 117.19 + Prob > F = 0.0000 + R-squared = 0.0292 + Root MSE = 3.8623 + + (Std. Err. adjusted for 2,505 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust +sponsor_tenu~n | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -1.816167 .1677665 -10.83 0.000 -2.145143 -1.487192 + _cons | 6.089566 .0878474 69.32 0.000 5.917305 6.261827 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 151 + F(3, 150) = 7.15 + Prob > F = 0.0002 + R-squared = 0.1190 + Root MSE = 3.418 + + (Std. Err. adjusted for 151 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust +sponsor_tenure_~n | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -2.676662 1.291898 -2.07 0.040 -5.22933 -.1239944 + MV1_female | -.0388796 .0912483 -0.43 0.671 -.2191776 .1414183 +femaleXMV1_female | .1144888 .099849 1.15 0.253 -.0828034 .311781 + _cons | 4.242741 1.217849 3.48 0.001 1.836387 6.649096 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,198 missing values generated) +(62,268 missing values generated) +(70 real changes made) +(sum of wgt is 284.1177639961243) + +Linear regression Number of obs = 151 + F(3, 150) = 2.47 + Prob > F = 0.0642 + R-squared = 0.0699 + Root MSE = 3.4809 + + (Std. Err. adjusted for 151 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust +sponsor_tenure_~n | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -2.783788 1.781715 -1.56 0.120 -6.304289 .7367126 + MV1_female | .029284 .102475 0.29 0.775 -.1731968 .2317649 +femaleXMV1_female | .0359696 .1249299 0.29 0.774 -.2108801 .2828193 + _cons | 4.841621 1.538066 3.15 0.002 1.802548 7.880693 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,071 missing values generated) +(61,989 missing values generated) +(1,918 real changes made) +(sum of wgt is 4,580.99417161942) + +Linear regression Number of obs = 2,278 + F(1, 2277) = 49.34 + Prob > F = 0.0000 + R-squared = 0.0570 + Root MSE = 3.5002 + + (Std. Err. adjusted for 2,278 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust +sponsor_tenu~n | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -1.72098 .2450054 -7.02 0.000 -2.201437 -1.240522 + _cons | 6.070381 .0958763 63.31 0.000 5.882367 6.258395 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +sponsor_ro~e | 406 .1945813 .3963665 0 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +sponsor_ro~e | 2,099 .1157694 .3200245 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 443 +----------------------+---------------------- NN matches = 3 + Number of obs | 174 269 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 26.8765 43.33226 .6202423 +---------------------------------------------- + +Linear regression Number of obs = 2,505 + F(1, 2504) = 14.27 + Prob > F = 0.0002 + R-squared = 0.0075 + Root MSE = .33356 + + (Std. Err. adjusted for 2,505 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust +sponsor_rookie | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .0788119 .0208597 3.78 0.000 .0379079 .1197158 + _cons | .1157694 .0069863 16.57 0.000 .1020699 .1294689 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 176 + F(3, 175) = 17.45 + Prob > F = 0.0000 + R-squared = 0.1945 + Root MSE = .43204 + + (Std. Err. adjusted for 176 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + sponsor_rookie | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .203544 .1405733 1.45 0.149 -.0738931 .4809812 + MV1_female | .022086 .0061517 3.59 0.000 .0099448 .0342271 +femaleXMV1_female | -.0512433 .0079885 -6.41 0.000 -.0670095 -.0354772 + _cons | .5729098 .1117317 5.13 0.000 .3523947 .7934249 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,173 missing values generated) +(62,255 missing values generated) +(82 real changes made) +(sum of wgt is 412.1031347513199) + +Linear regression Number of obs = 176 + F(3, 175) = 19.25 + Prob > F = 0.0000 + R-squared = 0.2636 + Root MSE = .38462 + + (Std. Err. adjusted for 176 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + sponsor_rookie | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .1079615 .1599631 0.67 0.501 -.2077436 .4236666 + MV1_female | .0265726 .005969 4.45 0.000 .0147921 .038353 +femaleXMV1_female | -.0561523 .0079979 -7.02 0.000 -.0719372 -.0403675 + _cons | .638868 .1245047 5.13 0.000 .3931439 .8845921 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,071 missing values generated) +(61,989 missing values generated) +(1,918 real changes made) +(sum of wgt is 4,580.99417161942) + +Linear regression Number of obs = 2,278 + F(1, 2277) = 5.05 + Prob > F = 0.0248 + R-squared = 0.0088 + Root MSE = .35967 + + (Std. Err. adjusted for 2,278 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust +sponsor_rookie | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .0677433 .0301515 2.25 0.025 .0086161 .1268706 + _cons | .120071 .007551 15.90 0.000 .1052634 .1348786 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + sponsor_age | 406 55.92857 9.328164 32 80 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + sponsor_age | 2,099 54.2182 10.2064 27 89 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 443 +----------------------+---------------------- NN matches = 3 + Number of obs | 174 269 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 20.61596 34.72755 .5936484 +---------------------------------------------- + +Linear regression Number of obs = 2,505 + F(1, 2504) = 11.10 + Prob > F = 0.0009 + R-squared = 0.0039 + Root MSE = 10.069 + + (Std. Err. adjusted for 2,505 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + sponsor_age | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | 1.710372 .5134291 3.33 0.001 .7035831 2.717161 + _cons | 54.2182 .2228109 243.34 0.000 53.78129 54.65511 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 141 + F(3, 140) = 0.28 + Prob > F = 0.8362 + R-squared = 0.0073 + Root MSE = 9.8848 + + (Std. Err. adjusted for 141 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + sponsor_age | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -2.38749 3.545334 -0.67 0.502 -9.396806 4.621826 + MV1_female | .1795434 .2212086 0.81 0.418 -.2577979 .6168847 +femaleXMV1_female | -.1168287 .2794807 -0.42 0.677 -.6693771 .4357196 + _cons | 54.19895 3.060051 17.71 0.000 48.14907 60.24884 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,208 missing values generated) +(62,274 missing values generated) +(66 real changes made) +(sum of wgt is 266.5230338573456) + +Linear regression Number of obs = 141 + F(3, 140) = 0.76 + Prob > F = 0.5162 + R-squared = 0.0288 + Root MSE = 10.346 + + (Std. Err. adjusted for 141 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + sponsor_age | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -6.54846 4.743498 -1.38 0.170 -15.92661 2.82969 + MV1_female | .3454094 .2778911 1.24 0.216 -.2039964 .8948151 +femaleXMV1_female | -.1571626 .3532457 -0.44 0.657 -.8555483 .5412232 + _cons | 57.04776 4.056904 14.06 0.000 49.02704 65.06848 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,071 missing values generated) +(61,989 missing values generated) +(1,918 real changes made) +(sum of wgt is 4,580.99417161942) + +Linear regression Number of obs = 2,278 + F(1, 2277) = 0.06 + Prob > F = 0.8052 + R-squared = 0.0001 + Root MSE = 10.011 + + (Std. Err. adjusted for 2,278 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + sponsor_age | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .2102685 .8523543 0.25 0.805 -1.461204 1.881741 + _cons | 54.36084 .2393726 227.10 0.000 53.89143 54.83026 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + leader | 406 .0394089 .1948057 0 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + leader | 2,099 .1124345 .3159755 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 443 +----------------------+---------------------- NN matches = 3 + Number of obs | 174 269 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 24.75523 48.9977 .5052325 +---------------------------------------------- + +Linear regression Number of obs = 2,505 + F(1, 2504) = 37.85 + Prob > F = 0.0000 + R-squared = 0.0080 + Root MSE = .29971 + + (Std. Err. adjusted for 2,505 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + leader | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.0730256 .01187 -6.15 0.000 -.0963016 -.0497496 + _cons | .1124345 .0068979 16.30 0.000 .0989083 .1259607 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 168 + F(1, 167) = . + Prob > F = . + R-squared = 0.0347 + Root MSE = .16898 + + (Std. Err. adjusted for 168 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + leader | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.0771668 .0715221 -1.08 0.282 -.2183708 .0640373 + MV1_female | .0010868 .0047227 0.23 0.818 -.008237 .0104106 +femaleXMV1_female | -.0010868 .0047227 -0.23 0.818 -.0104106 .008237 + _cons | .0771668 .0715221 1.08 0.282 -.0640373 .2183708 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,181 missing values generated) +(62,261 missing values generated) +(80 real changes made) +(sum of wgt is 395.1519755125046) + +Linear regression Number of obs = 168 + F(1, 167) = . + Prob > F = . + R-squared = 0.4070 + Root MSE = .32845 + + (Std. Err. adjusted for 168 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + leader | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .1721967 .177941 0.97 0.335 -.179107 .5235004 + MV1_female | -.0336418 .0178686 -1.88 0.061 -.0689192 .0016356 +femaleXMV1_female | .0336418 .0178686 1.88 0.061 -.0016356 .0689192 + _cons | -.1721967 .177941 -0.97 0.335 -.5235004 .179107 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,071 missing values generated) +(61,989 missing values generated) +(1,918 real changes made) +(sum of wgt is 4,580.99417161942) + +Linear regression Number of obs = 2,278 + F(1, 2277) = 152.20 + Prob > F = 0.0000 + R-squared = 0.0485 + Root MSE = .23921 + + (Std. Err. adjusted for 2,278 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + leader | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.1079928 .0087536 -12.34 0.000 -.1251586 -.090827 + _cons | .1185493 .0076757 15.44 0.000 .1034972 .1336015 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + borninstate | 404 .4777228 .5001228 0 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + borninstate | 2,097 .687649 .4635626 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 441 +----------------------+---------------------- NN matches = 3 + Number of obs | 173 268 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 16.93986 30.89231 .5483518 +---------------------------------------------- + +Linear regression Number of obs = 2,501 + F(1, 2500) = 61.16 + Prob > F = 0.0000 + R-squared = 0.0264 + Root MSE = .46965 + + (Std. Err. adjusted for 2,501 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + borninstate | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.2099263 .0268437 -7.82 0.000 -.2625645 -.157288 + _cons | .687649 .0101246 67.92 0.000 .6677955 .7075026 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 111 + F(3, 110) = 3.52 + Prob > F = 0.0174 + R-squared = 0.0866 + Root MSE = .48653 + + (Std. Err. adjusted for 111 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + borninstate | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.1796074 .1874881 -0.96 0.340 -.5511649 .1919501 + MV1_female | -.0085887 .0135068 -0.64 0.526 -.0353561 .0181787 +femaleXMV1_female | .0041967 .0188449 0.22 0.824 -.0331494 .0415428 + _cons | .6057014 .1412134 4.29 0.000 .3258495 .8855532 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,237 missing values generated) +(62,285 missing values generated) +(48 real changes made) +(sum of wgt is 212.3814735412598) + +Linear regression Number of obs = 111 + F(3, 110) = 0.99 + Prob > F = 0.3993 + R-squared = 0.0317 + Root MSE = .49903 + + (Std. Err. adjusted for 111 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + borninstate | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .1135741 .2548591 0.45 0.657 -.3914968 .618645 + MV1_female | -.018651 .018124 -1.03 0.306 -.0545684 .0172664 +femaleXMV1_female | .0105693 .0235931 0.45 0.655 -.0361866 .0573252 + _cons | .4475369 .2125813 2.11 0.038 .0262507 .868823 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,071 missing values generated) +(61,989 missing values generated) +(1,918 real changes made) +(sum of wgt is 4,543.05243098736) + +Linear regression Number of obs = 2,274 + F(1, 2273) = 5.04 + Prob > F = 0.0248 + R-squared = 0.0094 + Root MSE = .48087 + + (Std. Err. adjusted for 2,274 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + borninstate | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.0935067 .0416326 -2.25 0.025 -.1751487 -.0118648 + _cons | .6762651 .0109653 61.67 0.000 .6547621 .6977681 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + ivycoll | 404 .0594059 .236676 0 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + ivycoll | 2,088 .1283525 .334562 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 441 +----------------------+---------------------- NN matches = 3 + Number of obs | 173 268 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 18.9682 34.07182 .5567124 +---------------------------------------------- + +Linear regression Number of obs = 2,492 + F(1, 2491) = 24.75 + Prob > F = 0.0000 + R-squared = 0.0062 + Root MSE = .32075 + + (Std. Err. adjusted for 2,492 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + ivycoll | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.0689465 .013858 -4.98 0.000 -.096121 -.0417721 + _cons | .1283525 .0073229 17.53 0.000 .1139929 .142712 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 126 + F(3, 125) = 4.14 + Prob > F = 0.0078 + R-squared = 0.1107 + Root MSE = .34296 + + (Std. Err. adjusted for 126 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + ivycoll | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.0798235 .1318502 -0.61 0.546 -.3407713 .1811244 + MV1_female | -.0119607 .0111621 -1.07 0.286 -.034052 .0101306 +femaleXMV1_female | .0093927 .01199 0.78 0.435 -.014337 .0331225 + _cons | .1589593 .1200082 1.32 0.188 -.0785519 .3964705 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,222 missing values generated) +(62,277 missing values generated) +(55 real changes made) +(sum of wgt is 241.3792873620987) + +Linear regression Number of obs = 126 + F(3, 125) = 3.91 + Prob > F = 0.0104 + R-squared = 0.1186 + Root MSE = .32313 + + (Std. Err. adjusted for 126 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + ivycoll | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.0032405 .1134223 -0.03 0.977 -.2277172 .2212362 + MV1_female | -.0165452 .0108525 -1.52 0.130 -.0380236 .0049332 +femaleXMV1_female | .0137487 .0113761 1.21 0.229 -.008766 .0362634 + _cons | .0688481 .1035689 0.66 0.507 -.1361276 .2738239 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,071 missing values generated) +(61,989 missing values generated) +(1,918 real changes made) +(sum of wgt is 4,528.18498110771) + +Linear regression Number of obs = 2,265 + F(1, 2264) = 20.76 + Prob > F = 0.0000 + R-squared = 0.0156 + Root MSE = .28855 + + (Std. Err. adjusted for 2,265 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + ivycoll | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.072501 .0159105 -4.56 0.000 -.1037016 -.0413004 + _cons | .1295167 .0078221 16.56 0.000 .1141775 .144856 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + occ0 | 404 .2821782 .4506177 0 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + occ0 | 2,097 .2060086 .4045332 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 441 +----------------------+---------------------- NN matches = 3 + Number of obs | 173 268 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 17.95023 35.57032 .5046405 +---------------------------------------------- + +Linear regression Number of obs = 2,501 + F(1, 2500) = 10.01 + Prob > F = 0.0016 + R-squared = 0.0046 + Root MSE = .41231 + + (Std. Err. adjusted for 2,501 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + occ0 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .0761696 .0240798 3.16 0.002 .0289513 .123388 + _cons | .2060086 .0088354 23.32 0.000 .1886832 .223334 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 118 + F(3, 117) = 0.95 + Prob > F = 0.4206 + R-squared = 0.0264 + Root MSE = .34368 + + (Std. Err. adjusted for 118 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + occ0 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.0418849 .1028058 -0.41 0.684 -.2454865 .1617166 + MV1_female | -.0041219 .0077265 -0.53 0.595 -.0194238 .0111801 +femaleXMV1_female | .0173473 .0113462 1.53 0.129 -.0051232 .0398177 + _cons | .0787704 .0783043 1.01 0.317 -.0763073 .233848 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,230 missing values generated) +(62,282 missing values generated) +(52 real changes made) +(sum of wgt is 225.9936149120331) + +Linear regression Number of obs = 118 + F(3, 117) = 1.04 + Prob > F = 0.3795 + R-squared = 0.0287 + Root MSE = .31669 + + (Std. Err. adjusted for 118 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + occ0 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.040186 .082548 -0.49 0.627 -.2036681 .1232961 + MV1_female | -.0054614 .0068461 -0.80 0.427 -.0190198 .008097 +femaleXMV1_female | .0185127 .0107761 1.72 0.088 -.0028289 .0398542 + _cons | .0511178 .0611257 0.84 0.405 -.0699385 .1721741 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,071 missing values generated) +(61,989 missing values generated) +(1,918 real changes made) +(sum of wgt is 4,543.05243098736) + +Linear regression Number of obs = 2,274 + F(1, 2273) = 6.26 + Prob > F = 0.0124 + R-squared = 0.0120 + Root MSE = .43158 + + (Std. Err. adjusted for 2,274 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + occ0 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .0951537 .0380326 2.50 0.012 .0205714 .169736 + _cons | .2042009 .0093296 21.89 0.000 .1859056 .2224963 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + occ1 | 404 .220297 .4149608 0 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + occ1 | 2,097 .1044349 .3058968 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 441 +----------------------+---------------------- NN matches = 3 + Number of obs | 173 268 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 25.78999 43.29577 .5956699 +---------------------------------------------- + +Linear regression Number of obs = 2,501 + F(1, 2500) = 28.55 + Prob > F = 0.0000 + R-squared = 0.0168 + Root MSE = .32596 + + (Std. Err. adjusted for 2,501 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + occ1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .1158621 .0216827 5.34 0.000 .0733442 .1583801 + _cons | .1044349 .0066811 15.63 0.000 .0913339 .1175359 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 171 + F(3, 170) = 0.53 + Prob > F = 0.6610 + R-squared = 0.0096 + Root MSE = .39277 + + (Std. Err. adjusted for 171 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + occ1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .0591286 .1213649 0.49 0.627 -.1804477 .298705 + MV1_female | -.0014722 .0061384 -0.24 0.811 -.0135894 .010645 +femaleXMV1_female | .0040521 .0084588 0.48 0.633 -.0126457 .02075 + _cons | .1298388 .0915149 1.42 0.158 -.0508131 .3104906 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,177 missing values generated) +(62,258 missing values generated) +(81 real changes made) +(sum of wgt is 414.8836518526077) + +Linear regression Number of obs = 171 + F(3, 170) = 0.64 + Prob > F = 0.5934 + R-squared = 0.0223 + Root MSE = .37034 + + (Std. Err. adjusted for 171 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + occ1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.0815386 .1439559 -0.57 0.572 -.36571 .2026328 + MV1_female | .0064262 .007474 0.86 0.391 -.0083276 .0211799 +femaleXMV1_female | -.0023754 .0093872 -0.25 0.801 -.0209059 .0161551 + _cons | .2428513 .1225301 1.98 0.049 .0009748 .4847277 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,071 missing values generated) +(61,989 missing values generated) +(1,918 real changes made) +(sum of wgt is 4,543.05243098736) + +Linear regression Number of obs = 2,274 + F(1, 2273) = 8.34 + Prob > F = 0.0039 + R-squared = 0.0143 + Root MSE = .35312 + + (Std. Err. adjusted for 2,274 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + occ1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .0850189 .0294371 2.89 0.004 .0272926 .1427452 + _cons | .1059521 .0071596 14.80 0.000 .091912 .1199921 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + occ2 | 404 .1113861 .3149998 0 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + occ2 | 2,097 .3738674 .4839445 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 441 +----------------------+---------------------- NN matches = 3 + Number of obs | 173 268 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 25.28954 47.06263 .5373593 +---------------------------------------------- + +Linear regression Number of obs = 2,501 + F(1, 2500) = 193.03 + Prob > F = 0.0000 + R-squared = 0.0421 + Root MSE = .46091 + + (Std. Err. adjusted for 2,501 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + occ2 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.2624813 .0188922 -13.89 0.000 -.2995272 -.2254353 + _cons | .3738674 .0105698 35.37 0.000 .353141 .3945939 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 168 + F(3, 167) = 3.52 + Prob > F = 0.0164 + R-squared = 0.0644 + Root MSE = .39758 + + (Std. Err. adjusted for 168 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + occ2 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.1103658 .1279991 -0.86 0.390 -.3630706 .142339 + MV1_female | -.0053975 .0070997 -0.76 0.448 -.0194143 .0086192 +femaleXMV1_female | .004127 .0088097 0.47 0.640 -.0132657 .0215197 + _cons | .2385829 .10668 2.24 0.027 .0279678 .4491981 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,180 missing values generated) +(62,261 missing values generated) +(81 real changes made) +(sum of wgt is 401.4037017822266) + +Linear regression Number of obs = 168 + F(3, 167) = 1.53 + Prob > F = 0.2093 + R-squared = 0.0344 + Root MSE = .36714 + + (Std. Err. adjusted for 168 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + occ2 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.2110289 .1449198 -1.46 0.147 -.49714 .0750821 + MV1_female | .0108114 .0074829 1.44 0.150 -.0039618 .0255845 +femaleXMV1_female | -.0138261 .0092579 -1.49 0.137 -.0321037 .0044515 + _cons | .3718553 .1187019 3.13 0.002 .1375056 .606205 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,071 missing values generated) +(61,989 missing values generated) +(1,918 real changes made) +(sum of wgt is 4,543.05243098736) + +Linear regression Number of obs = 2,274 + F(1, 2273) = 114.34 + Prob > F = 0.0000 + R-squared = 0.0968 + Root MSE = .40439 + + (Std. Err. adjusted for 2,274 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + occ2 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.2646982 .0247542 -10.69 0.000 -.3132414 -.216155 + _cons | .3693569 .011178 33.04 0.000 .3474367 .391277 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + occ3 | 404 .0420792 .2010188 0 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + occ3 | 2,097 .0567477 .2314151 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 441 +----------------------+---------------------- NN matches = 3 + Number of obs | 173 268 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 16.34282 32.46955 .5033277 +---------------------------------------------- + +Linear regression Number of obs = 2,501 + F(1, 2500) = 1.72 + Prob > F = 0.1903 + R-squared = 0.0006 + Root MSE = .22679 + + (Std. Err. adjusted for 2,501 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + occ3 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.0146685 .0111982 -1.31 0.190 -.0366272 .0072902 + _cons | .0567477 .0050543 11.23 0.000 .0468367 .0666588 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 108 + F(3, 107) = 0.68 + Prob > F = 0.5641 + R-squared = 0.0141 + Root MSE = .24912 + + (Std. Err. adjusted for 108 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + occ3 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.0306422 .0792694 -0.39 0.700 -.1877845 .1265001 + MV1_female | -.0033927 .0079575 -0.43 0.671 -.0191676 .0123821 +femaleXMV1_female | .0109607 .0099276 1.10 0.272 -.0087196 .0306409 + _cons | .0360969 .070153 0.51 0.608 -.1029732 .175167 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,240 missing values generated) +(62,287 missing values generated) +(47 real changes made) +(sum of wgt is 207.0634707212448) + +Linear regression Number of obs = 108 + F(3, 107) = 0.48 + Prob > F = 0.6983 + R-squared = 0.0135 + Root MSE = .23601 + + (Std. Err. adjusted for 108 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + occ3 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .011993 .0621343 0.19 0.847 -.111181 .135167 + MV1_female | -.0021644 .0052078 -0.42 0.679 -.0124883 .0081594 +femaleXMV1_female | .0074352 .0073145 1.02 0.312 -.007065 .0219354 + _cons | .0204873 .0450683 0.45 0.650 -.0688553 .1098299 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,071 missing values generated) +(61,989 missing values generated) +(1,918 real changes made) +(sum of wgt is 4,543.05243098736) + +Linear regression Number of obs = 2,274 + F(1, 2273) = 0.87 + Prob > F = 0.3524 + R-squared = 0.0008 + Root MSE = .22261 + + (Std. Err. adjusted for 2,274 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + occ3 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.0128359 .0137994 -0.93 0.352 -.0398966 .0142248 + _cons | .0586974 .0055832 10.51 0.000 .0477488 .069646 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + occ4 | 404 .0940594 .2922733 0 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + occ4 | 2,097 .096805 .2957625 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 441 +----------------------+---------------------- NN matches = 3 + Number of obs | 173 268 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 16.99013 33.73861 .5035811 +---------------------------------------------- + +Linear regression Number of obs = 2,501 + F(1, 2500) = 0.03 + Prob > F = 0.8629 + R-squared = 0.0000 + Root MSE = .2952 + + (Std. Err. adjusted for 2,501 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + occ4 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.0027456 .0159003 -0.17 0.863 -.0339246 .0284335 + _cons | .096805 .0064597 14.99 0.000 .084138 .1094719 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 111 + F(3, 110) = 4.08 + Prob > F = 0.0086 + R-squared = 0.0432 + Root MSE = .32036 + + (Std. Err. adjusted for 111 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + occ4 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .2644872 .0950438 2.78 0.006 .0761328 .4528417 + MV1_female | -.0143089 .0071693 -2.00 0.048 -.0285169 -.000101 +femaleXMV1_female | .0039363 .0107754 0.37 0.716 -.0174179 .0252905 + _cons | -.0400944 .0282968 -1.42 0.159 -.096172 .0159833 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,237 missing values generated) +(62,285 missing values generated) +(48 real changes made) +(sum of wgt is 212.3814735412598) + +Linear regression Number of obs = 111 + F(3, 110) = 3.71 + Prob > F = 0.0137 + R-squared = 0.0536 + Root MSE = .29902 + + (Std. Err. adjusted for 111 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + occ4 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .2768312 .1016505 2.72 0.008 .0753837 .4782786 + MV1_female | -.0118486 .0060748 -1.95 0.054 -.0238875 .0001903 +femaleXMV1_female | -.0005971 .0101408 -0.06 0.953 -.0206938 .0194997 + _cons | -.0347774 .0236444 -1.47 0.144 -.0816351 .0120804 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,071 missing values generated) +(61,989 missing values generated) +(1,918 real changes made) +(sum of wgt is 4,543.05243098736) + +Linear regression Number of obs = 2,274 + F(1, 2273) = 7.97 + Prob > F = 0.0048 + R-squared = 0.0054 + Root MSE = .27401 + + (Std. Err. adjusted for 2,274 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + occ4 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.0403584 .0142977 -2.82 0.005 -.0683964 -.0123204 + _cons | .1023325 .0070378 14.54 0.000 .0885313 .1161337 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + occ6 | 404 .2425743 .4291712 0 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + occ6 | 2,097 .1478302 .3550163 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 441 +----------------------+---------------------- NN matches = 3 + Number of obs | 173 268 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 20.31589 39.4304 .5152342 +---------------------------------------------- + +Linear regression Number of obs = 2,501 + F(1, 2500) = 17.42 + Prob > F = 0.0000 + R-squared = 0.0089 + Root MSE = .36799 + + (Std. Err. adjusted for 2,501 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + occ6 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .094744 .0226995 4.17 0.000 .0502322 .1392558 + _cons | .1478302 .0077539 19.07 0.000 .1326255 .1630349 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 135 + F(3, 134) = 1.73 + Prob > F = 0.1648 + R-squared = 0.0364 + Root MSE = .44449 + + (Std. Err. adjusted for 135 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + occ6 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.2156556 .1636467 -1.32 0.190 -.5393202 .1080089 + MV1_female | .0196501 .0088788 2.21 0.029 .0020895 .0372108 +femaleXMV1_female | -.0243041 .0127514 -1.91 0.059 -.0495241 .0009159 + _cons | .5136527 .1263852 4.06 0.000 .2636848 .7636207 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,213 missing values generated) +(62,274 missing values generated) +(61 real changes made) +(sum of wgt is 256.4801567792892) + +Linear regression Number of obs = 135 + F(3, 134) = 1.02 + Prob > F = 0.3872 + R-squared = 0.0226 + Root MSE = .44496 + + (Std. Err. adjusted for 135 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + occ6 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.0961868 .1836159 -0.52 0.601 -.4593471 .2669735 + MV1_female | .014933 .0095858 1.56 0.122 -.0040261 .0338921 +femaleXMV1_female | -.0194856 .014608 -1.33 0.184 -.0483777 .0094064 + _cons | .4188879 .1379192 3.04 0.003 .1461078 .6916679 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,071 missing values generated) +(61,989 missing values generated) +(1,918 real changes made) +(sum of wgt is 4,543.05243098736) + +Linear regression Number of obs = 2,274 + F(1, 2273) = 9.39 + Prob > F = 0.0022 + R-squared = 0.0316 + Root MSE = .40683 + + (Std. Err. adjusted for 2,274 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + occ6 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .1468586 .0479133 3.07 0.002 .0529003 .240817 + _cons | .1451375 .0081876 17.73 0.000 .1290816 .1611935 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + black | 406 .229064 .420749 0 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + black | 2,099 .1276798 .3338125 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 443 +----------------------+---------------------- NN matches = 3 + Number of obs | 174 269 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 8.587376 21.22002 .4046829 +---------------------------------------------- + +Linear regression Number of obs = 2,505 + F(1, 2504) = 21.05 + Prob > F = 0.0000 + R-squared = 0.0113 + Root MSE = .34935 + + (Std. Err. adjusted for 2,505 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + black | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .1013842 .0221 4.59 0.000 .0580479 .1447204 + _cons | .1276798 .0072873 17.52 0.000 .1133901 .1419696 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 54 + F(2, 53) = . + Prob > F = . + R-squared = 0.0783 + Root MSE = .13451 + + (Std. Err. adjusted for 54 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + black | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.0417509 .0413145 -1.01 0.317 -.1246173 .0411155 + MV1_female | -2.91e-17 6.80e-17 -0.43 0.670 -1.66e-16 1.07e-16 +femaleXMV1_female | .0182539 .0177494 1.03 0.308 -.0173468 .0538546 + _cons | -5.20e-17 . . . . . +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,304 missing values generated) +(62,322 missing values generated) +(18 real changes made) +(sum of wgt is 82.0562139749527) + +Linear regression Number of obs = 45 + F(2, 44) = . + Prob > F = . + R-squared = 0.0580 + Root MSE = .11355 + + (Std. Err. adjusted for 45 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + black | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.0364273 .0376501 -0.97 0.339 -.1123061 .0394515 + MV1_female | -4.86e-17 . . . . . +femaleXMV1_female | .0141495 .0144026 0.98 0.331 -.014877 .0431761 + _cons | -1.72e-16 . . . . . +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,071 missing values generated) +(61,989 missing values generated) +(1,918 real changes made) +(sum of wgt is 4,580.99417161942) + +Linear regression Number of obs = 2,278 + F(1, 2277) = 2.18 + Prob > F = 0.1398 + R-squared = 0.0025 + Root MSE = .35145 + + (Std. Err. adjusted for 2,278 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + black | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .034992 .0236876 1.48 0.140 -.0114595 .0814434 + _cons | .1270208 .0080342 15.81 0.000 .1112658 .1427759 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + sponsor_NE | 184 .1847826 .3891801 0 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + sponsor_NE | 2,089 .1574916 .3643509 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 455 +----------------------+---------------------- NN matches = 3 + Number of obs | 326 129 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 14.12141 21.99806 .6419388 +---------------------------------------------- + +Linear regression Number of obs = 2,273 + F(1, 2272) = 0.84 + Prob > F = 0.3585 + R-squared = 0.0004 + Root MSE = .36641 + + (Std. Err. adjusted for 2,273 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + sponsor_NE | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .027291 .029715 0.92 0.358 -.0309803 .0855623 + _cons | .1574916 .0079733 19.75 0.000 .1418559 .1731273 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 115 + F(3, 114) = 0.15 + Prob > F = 0.9274 + R-squared = 0.0037 + Root MSE = .38509 + + (Std. Err. adjusted for 115 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + sponsor_NE | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.0193799 .1421861 -0.14 0.892 -.3010494 .2622897 + MV1_female | -.0027413 .010439 -0.26 0.793 -.0234208 .0179382 +femaleXMV1_female | .0013705 .0163649 0.08 0.933 -.0310482 .0337891 + _cons | .167561 .0804937 2.08 0.040 .0081037 .3270184 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,237 missing values generated) +(62,320 missing values generated) +(83 real changes made) +(sum of wgt is 211.366708278656) + +Linear regression Number of obs = 112 + F(3, 111) = 0.32 + Prob > F = 0.8088 + R-squared = 0.0107 + Root MSE = .36227 + + (Std. Err. adjusted for 112 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + sponsor_NE | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .061935 .1938653 0.32 0.750 -.3222221 .446092 + MV1_female | -.0028828 .0104877 -0.27 0.784 -.0236648 .0178993 +femaleXMV1_female | -.0083291 .0212204 -0.39 0.695 -.0503787 .0337205 + _cons | .1513872 .0785513 1.93 0.057 -.0042674 .3070418 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,228 missing values generated) +(62,169 missing values generated) +(1,941 real changes made) +(sum of wgt is 4,129.91265428066) + +Linear regression Number of obs = 2,121 + F(1, 2120) = 0.17 + Prob > F = 0.6818 + R-squared = 0.0002 + Root MSE = .36378 + + (Std. Err. adjusted for 2,121 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + sponsor_NE | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.0114997 .0280433 -0.41 0.682 -.066495 .0434955 + _cons | .1624387 .0084287 19.27 0.000 .1459093 .1789682 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + sponsor_MW | 184 .201087 .4019065 0 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + sponsor_MW | 2,089 .2589756 .4381771 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 455 +----------------------+---------------------- NN matches = 3 + Number of obs | 326 129 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 13.4907 26.39683 .5110725 +---------------------------------------------- + +Linear regression Number of obs = 2,273 + F(1, 2272) = 3.47 + Prob > F = 0.0626 + R-squared = 0.0013 + Root MSE = .43537 + + (Std. Err. adjusted for 2,273 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + sponsor_MW | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.0578886 .0310776 -1.86 0.063 -.1188321 .0030549 + _cons | .2589756 .0095889 27.01 0.000 .2401717 .2777795 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 110 + F(3, 109) = 7.91 + Prob > F = 0.0001 + R-squared = 0.0682 + Root MSE = .42834 + + (Std. Err. adjusted for 110 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + sponsor_MW | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.3892076 .1086135 -3.58 0.001 -.604476 -.1739392 + MV1_female | .0139482 .0127339 1.10 0.276 -.0112901 .0391865 +femaleXMV1_female | -.0054724 .0148335 -0.37 0.713 -.0348719 .023927 + _cons | .4038671 .103182 3.91 0.000 .1993637 .6083705 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,241 missing values generated) +(62,322 missing values generated) +(81 real changes made) +(sum of wgt is 204.4997228384018) + +Linear regression Number of obs = 108 + F(3, 107) = 2.01 + Prob > F = 0.1171 + R-squared = 0.0696 + Root MSE = .4487 + + (Std. Err. adjusted for 108 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + sponsor_MW | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.3644887 .1561854 -2.33 0.021 -.674108 -.0548695 + MV1_female | .0176363 .0114544 1.54 0.127 -.0050708 .0403434 +femaleXMV1_female | .0240992 .0285083 0.85 0.400 -.0324152 .0806137 + _cons | .3842564 .0987887 3.89 0.000 .1884192 .5800935 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,228 missing values generated) +(62,169 missing values generated) +(1,941 real changes made) +(sum of wgt is 4,129.91265428066) + +Linear regression Number of obs = 2,121 + F(1, 2120) = 0.61 + Prob > F = 0.4345 + R-squared = 0.0016 + Root MSE = .45006 + + (Std. Err. adjusted for 2,121 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + sponsor_MW | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .0365458 .0467547 0.78 0.435 -.055144 .1282356 + _cons | .2647438 .0099689 26.56 0.000 .245194 .2842937 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + sponsor_SO | 184 .375 .4854439 0 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + sponsor_SO | 2,089 .3729057 .4836931 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 455 +----------------------+---------------------- NN matches = 3 + Number of obs | 326 129 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 18.97725 30.86898 .6147675 +---------------------------------------------- + +Linear regression Number of obs = 2,273 + F(1, 2272) = 0.00 + Prob > F = 0.9552 + R-squared = 0.0000 + Root MSE = .48383 + + (Std. Err. adjusted for 2,273 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + sponsor_SO | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .0020943 .0372416 0.06 0.955 -.0709369 .0751255 + _cons | .3729057 .0105849 35.23 0.000 .3521486 .3936628 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 169 + F(3, 168) = 1.20 + Prob > F = 0.3109 + R-squared = 0.0263 + Root MSE = .41692 + + (Std. Err. adjusted for 169 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + sponsor_SO | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .0820601 .1721357 0.48 0.634 -.2577677 .421888 + MV1_female | -.0025151 .0069014 -0.36 0.716 -.0161397 .0111095 +femaleXMV1_female | .0109776 .0152994 0.72 0.474 -.0192263 .0411814 + _cons | .1642572 .074982 2.19 0.030 .0162288 .3122856 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,180 missing values generated) +(62,307 missing values generated) +(127 real changes made) +(sum of wgt is 336.6105136871338) + +Linear regression Number of obs = 169 + F(3, 168) = 0.45 + Prob > F = 0.7158 + R-squared = 0.0114 + Root MSE = .40993 + + (Std. Err. adjusted for 169 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + sponsor_SO | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .053371 .168537 0.32 0.752 -.2793523 .3860942 + MV1_female | -.0002119 .0085162 -0.02 0.980 -.0170244 .0166007 +femaleXMV1_female | -.0088215 .0134775 -0.65 0.514 -.0354285 .0177855 + _cons | .2346972 .0948438 2.47 0.014 .0474579 .4219364 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,228 missing values generated) +(62,169 missing values generated) +(1,941 real changes made) +(sum of wgt is 4,129.91265428066) + +Linear regression Number of obs = 2,121 + F(1, 2120) = 0.29 + Prob > F = 0.5918 + R-squared = 0.0006 + Root MSE = .47523 + + (Std. Err. adjusted for 2,121 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + sponsor_SO | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.022734 .0423908 -0.54 0.592 -.1058659 .060398 + _cons | .3553473 .0109113 32.57 0.000 .3339494 .3767452 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + sponsor_WE | 184 .2391304 .4277164 0 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + sponsor_WE | 2,089 .2106271 .4078516 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 455 +----------------------+---------------------- NN matches = 3 + Number of obs | 326 129 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 20.14776 32.00386 .6295418 +---------------------------------------------- + +Linear regression Number of obs = 2,273 + F(1, 2272) = 0.76 + Prob > F = 0.3835 + R-squared = 0.0004 + Root MSE = .40949 + + (Std. Err. adjusted for 2,273 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + sponsor_WE | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .0285033 .0327013 0.87 0.384 -.0356242 .0926308 + _cons | .2106271 .0089252 23.60 0.000 .1931246 .2281296 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 187 + F(3, 186) = 1.29 + Prob > F = 0.2788 + R-squared = 0.0224 + Root MSE = .4742 + + (Std. Err. adjusted for 187 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + sponsor_WE | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .332718 .1737485 1.91 0.057 -.0100531 .6754891 + MV1_female | -.0034931 .0065744 -0.53 0.596 -.0164631 .0094769 +femaleXMV1_female | -.0127916 .0133446 -0.96 0.339 -.0391178 .0135346 + _cons | .2767499 .079765 3.47 0.001 .1193896 .4341103 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,162 missing values generated) +(62,302 missing values generated) +(140 real changes made) +(sum of wgt is 371.3206034898758) + +Linear regression Number of obs = 187 + F(3, 186) = 1.74 + Prob > F = 0.1611 + R-squared = 0.0388 + Root MSE = .45131 + + (Std. Err. adjusted for 187 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + sponsor_WE | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .2357373 .1822044 1.29 0.197 -.1237155 .5951901 + MV1_female | -.0049604 .0070289 -0.71 0.481 -.0188269 .0089061 +femaleXMV1_female | -.0153811 .0129625 -1.19 0.237 -.0409534 .0101912 + _cons | .2705892 .0828468 3.27 0.001 .1071491 .4340293 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,228 missing values generated) +(62,169 missing values generated) +(1,941 real changes made) +(sum of wgt is 4,129.91265428066) + +Linear regression Number of obs = 2,121 + F(1, 2120) = 0.00 + Prob > F = 0.9450 + R-squared = 0.0000 + Root MSE = .41195 + + (Std. Err. adjusted for 2,121 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + sponsor_WE | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.0023121 .0335119 -0.07 0.945 -.0680317 .0634075 + _cons | .2174702 .0094132 23.10 0.000 .1990101 .2359302 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + pct_black | 184 5.361712 4.461962 .1025148 21.52691 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + pct_black | 2,089 7.169979 7.862419 .0669269 64.15747 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 455 +----------------------+---------------------- NN matches = 3 + Number of obs | 326 129 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 21.83817 32.70763 .6676783 +---------------------------------------------- + +Linear regression Number of obs = 2,273 + F(1, 2272) = 23.81 + Prob > F = 0.0000 + R-squared = 0.0041 + Root MSE = 7.6446 + + (Std. Err. adjusted for 2,273 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + pct_black | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -1.808267 .3705566 -4.88 0.000 -2.534932 -1.081602 + _cons | 7.169979 .1720577 41.67 0.000 6.832572 7.507385 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 210 + F(3, 209) = 0.38 + Prob > F = 0.7677 + R-squared = 0.0054 + Root MSE = 6.9434 + + (Std. Err. adjusted for 210 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + pct_black | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -2.454149 2.378443 -1.03 0.303 -7.142962 2.234664 + MV1_female | .0313453 .0826454 0.38 0.705 -.1315801 .1942707 +femaleXMV1_female | .0757056 .1626319 0.47 0.642 -.2449036 .3963148 + _cons | 6.329846 1.113833 5.68 0.000 4.134058 8.525634 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,139 missing values generated) +(62,296 missing values generated) +(157 real changes made) +(sum of wgt is 421.1004084348679) + +Linear regression Number of obs = 210 + F(3, 209) = 0.80 + Prob > F = 0.4931 + R-squared = 0.0172 + Root MSE = 5.9617 + + (Std. Err. adjusted for 210 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + pct_black | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -3.204226 2.1211 -1.51 0.132 -7.385719 .9772664 + MV1_female | .0616302 .0810815 0.76 0.448 -.0982121 .2214725 +femaleXMV1_female | .104952 .1490347 0.70 0.482 -.188852 .3987559 + _cons | 6.543225 1.146155 5.71 0.000 4.283718 8.802732 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,228 missing values generated) +(62,169 missing values generated) +(1,941 real changes made) +(sum of wgt is 4,129.91265428066) + +Linear regression Number of obs = 2,121 + F(1, 2120) = 4.30 + Prob > F = 0.0383 + R-squared = 0.0070 + Root MSE = 6.484 + + (Std. Err. adjusted for 2,121 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + pct_black | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -1.089022 .5253261 -2.07 0.038 -2.119231 -.0588138 + _cons | 6.940044 .1687079 41.14 0.000 6.609194 7.270895 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + pct_urban | 184 72.86839 22.00755 0 100 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + pct_urban | 2,089 64.0084 25.93384 0 100 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 455 +----------------------+---------------------- NN matches = 3 + Number of obs | 326 129 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 18.99772 31.70903 .5991263 +---------------------------------------------- + +Linear regression Number of obs = 2,273 + F(1, 2272) = 26.68 + Prob > F = 0.0000 + R-squared = 0.0088 + Root MSE = 25.64 + + (Std. Err. adjusted for 2,273 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + pct_urban | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | 8.859986 1.715321 5.17 0.000 5.496228 12.22374 + _cons | 64.0084 .5675247 112.79 0.000 62.89548 65.12132 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 169 + F(3, 168) = 0.46 + Prob > F = 0.7119 + R-squared = 0.0081 + Root MSE = 26.971 + + (Std. Err. adjusted for 169 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + pct_urban | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -8.167029 9.569389 -0.85 0.395 -27.05878 10.72472 + MV1_female | .4633779 .4320328 1.07 0.285 -.3895349 1.316291 +femaleXMV1_female | -.2932616 .806096 -0.36 0.716 -1.884644 1.298121 + _cons | 71.73153 4.816157 14.89 0.000 62.22355 81.23952 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,180 missing values generated) +(62,307 missing values generated) +(127 real changes made) +(sum of wgt is 336.6105136871338) + +Linear regression Number of obs = 169 + F(3, 168) = 1.51 + Prob > F = 0.2133 + R-squared = 0.0569 + Root MSE = 26.534 + + (Std. Err. adjusted for 169 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + pct_urban | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -12.08042 10.96813 -1.10 0.272 -33.73355 9.572703 + MV1_female | .5923561 .4246274 1.40 0.165 -.2459369 1.430649 +femaleXMV1_female | .6115209 .9544146 0.64 0.523 -1.27267 2.495712 + _cons | 72.5665 4.538456 15.99 0.000 63.60675 81.52625 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,228 missing values generated) +(62,169 missing values generated) +(1,941 real changes made) +(sum of wgt is 4,129.91265428066) + +Linear regression Number of obs = 2,121 + F(1, 2120) = 0.08 + Prob > F = 0.7780 + R-squared = 0.0003 + Root MSE = 26.501 + + (Std. Err. adjusted for 2,121 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + pct_urban | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .9133202 3.238724 0.28 0.778 -5.438088 7.264728 + _cons | 65.07086 .5844339 111.34 0.000 63.92474 66.21699 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +pct_for_born | 184 9.492086 12.39576 .6645144 56.85267 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +pct_for_born | 2,089 6.103415 6.6542 .2187925 56.585 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 455 +----------------------+---------------------- NN matches = 3 + Number of obs | 326 129 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 11.94153 23.59652 .5060719 +---------------------------------------------- + +Linear regression Number of obs = 2,273 + F(1, 2272) = 13.47 + Prob > F = 0.0002 + R-squared = 0.0159 + Root MSE = 7.2864 + + (Std. Err. adjusted for 2,273 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + pct_for_born | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | 3.388671 .9232973 3.67 0.000 1.578077 5.199265 + _cons | 6.103415 .1456176 41.91 0.000 5.817857 6.388972 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 103 + F(3, 102) = 1.01 + Prob > F = 0.3933 + R-squared = 0.0170 + Root MSE = 5.7686 + + (Std. Err. adjusted for 103 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + pct_for_born | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -3.16848 2.207743 -1.44 0.154 -7.547527 1.210568 + MV1_female | .0167201 .2221093 0.08 0.940 -.4238327 .4572729 +femaleXMV1_female | .2711764 .3010959 0.90 0.370 -.3260459 .8683986 + _cons | 7.639938 1.497142 5.10 0.000 4.670364 10.60951 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,248 missing values generated) +(62,324 missing values generated) +(76 real changes made) +(sum of wgt is 189.225909948349) + +Linear regression Number of obs = 101 + F(3, 100) = 0.29 + Prob > F = 0.8294 + R-squared = 0.0165 + Root MSE = 5.1974 + + (Std. Err. adjusted for 101 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + pct_for_born | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -1.810359 2.525782 -0.72 0.475 -6.821438 3.20072 + MV1_female | -.0216841 .2012692 -0.11 0.914 -.4209964 .3776282 +femaleXMV1_female | .2802369 .3498817 0.80 0.425 -.4139185 .9743922 + _cons | 7.138418 1.373457 5.20 0.000 4.413518 9.863319 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,228 missing values generated) +(62,169 missing values generated) +(1,941 real changes made) +(sum of wgt is 4,129.91265428066) + +Linear regression Number of obs = 2,121 + F(1, 2120) = 0.01 + Prob > F = 0.9325 + R-squared = 0.0000 + Root MSE = 7.5723 + + (Std. Err. adjusted for 2,121 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + pct_for_born | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .0479289 .5654446 0.08 0.932 -1.060955 1.156813 + _cons | 6.369005 .1673018 38.07 0.000 6.040912 6.697098 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +pct_age_o~65 | 184 13.46869 4.778687 7.605162 38.99562 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +pct_age_o~65 | 2,089 13.38523 4.310861 4.116681 43.80611 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 455 +----------------------+---------------------- NN matches = 3 + Number of obs | 326 129 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 10.50729 21.63653 .4856275 +---------------------------------------------- + +Linear regression Number of obs = 2,273 + F(1, 2272) = 0.05 + Prob > F = 0.8186 + R-squared = 0.0000 + Root MSE = 4.3504 + + (Std. Err. adjusted for 2,273 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust +pct_age_over65 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .0834669 .3639252 0.23 0.819 -.6301936 .7971273 + _cons | 13.38523 .094337 141.89 0.000 13.20023 13.57022 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 88 + F(3, 87) = 0.50 + Prob > F = 0.6861 + R-squared = 0.0333 + Root MSE = 4.0357 + + (Std. Err. adjusted for 88 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + pct_age_over65 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -1.777918 1.92425 -0.92 0.358 -5.602573 2.046736 + MV1_female | .2260918 .2194733 1.03 0.306 -.2101353 .6623188 +femaleXMV1_female | -.2949437 .3717651 -0.79 0.430 -1.033867 .4439797 + _cons | 14.80157 1.511391 9.79 0.000 11.79751 17.80562 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,263 missing values generated) +(62,329 missing values generated) +(66 real changes made) +(sum of wgt is 144.9738084077835) + +Linear regression Number of obs = 86 + F(3, 85) = 0.26 + Prob > F = 0.8534 + R-squared = 0.0227 + Root MSE = 4.1954 + + (Std. Err. adjusted for 86 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + pct_age_over65 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.7031855 2.072564 -0.34 0.735 -4.823998 3.417627 + MV1_female | .1466083 .2036579 0.72 0.474 -.2583182 .5515349 +femaleXMV1_female | -.302429 .4174869 -0.72 0.471 -1.132505 .5276468 + _cons | 14.14991 1.379888 10.25 0.000 11.40633 16.8935 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,228 missing values generated) +(62,169 missing values generated) +(1,941 real changes made) +(sum of wgt is 4,129.91265428066) + +Linear regression Number of obs = 2,121 + F(1, 2120) = 0.18 + Prob > F = 0.6681 + R-squared = 0.0003 + Root MSE = 4.3385 + + (Std. Err. adjusted for 2,121 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust +pct_age_over65 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.1467012 .342083 -0.43 0.668 -.8175546 .5241522 + _cons | 13.4518 .1016227 132.37 0.000 13.25251 13.65109 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + lninc | 184 10.29361 .3553059 9.595807 11.06974 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + lninc | 2,089 10.26055 .3131215 9.356862 11.05996 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 455 +----------------------+---------------------- NN matches = 3 + Number of obs | 326 129 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 16.32716 28.27446 .5774526 +---------------------------------------------- + +Linear regression Number of obs = 2,273 + F(1, 2272) = 1.50 + Prob > F = 0.2212 + R-squared = 0.0008 + Root MSE = .31673 + + (Std. Err. adjusted for 2,273 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + lninc | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .0330635 .0270171 1.22 0.221 -.0199173 .0860442 + _cons | 10.26055 .0068522 1497.41 0.000 10.24711 10.27399 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 138 + F(3, 137) = 4.29 + Prob > F = 0.0063 + R-squared = 0.0670 + Root MSE = .30856 + + (Std. Err. adjusted for 138 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + lninc | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.0972852 .1334927 -0.73 0.467 -.3612577 .1666874 + MV1_female | .0103738 .0064885 1.60 0.112 -.0024568 .0232045 +femaleXMV1_female | -.025608 .012233 -2.09 0.038 -.0497979 -.0014182 + _cons | 10.42955 .0619232 168.43 0.000 10.3071 10.552 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,215 missing values generated) +(62,316 missing values generated) +(101 real changes made) +(sum of wgt is 260.8832830190659) + +Linear regression Number of obs = 134 + F(3, 133) = 0.88 + Prob > F = 0.4554 + R-squared = 0.0164 + Root MSE = .30281 + + (Std. Err. adjusted for 134 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + lninc | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .0074831 .1695417 0.04 0.965 -.3278639 .3428301 + MV1_female | .0091218 .0059818 1.52 0.130 -.0027099 .0209535 +femaleXMV1_female | -.0157173 .0165076 -0.95 0.343 -.0483687 .0169342 + _cons | 10.40444 .0597514 174.13 0.000 10.28626 10.52263 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,228 missing values generated) +(62,169 missing values generated) +(1,941 real changes made) +(sum of wgt is 4,129.91265428066) + +Linear regression Number of obs = 2,121 + F(1, 2120) = 0.00 + Prob > F = 0.9803 + R-squared = 0.0000 + Root MSE = .32526 + + (Std. Err. adjusted for 2,121 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + lninc | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.0006953 .0282082 -0.02 0.980 -.0560139 .0546232 + _cons | 10.26302 .0072109 1423.27 0.000 10.24888 10.27716 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + lnpden | 184 -1.144714 7.831109 -13.14081 9.09557 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + lnpden | 2,089 -.1682557 7.281027 -14.67538 11.20875 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 455 +----------------------+---------------------- NN matches = 3 + Number of obs | 326 129 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 9.474291 16.23306 .5836416 +---------------------------------------------- + +Linear regression Number of obs = 2,273 + F(1, 2272) = 2.67 + Prob > F = 0.1024 + R-squared = 0.0013 + Root MSE = 7.3269 + + (Std. Err. adjusted for 2,273 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + lnpden | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.976458 .5976312 -1.63 0.102 -2.148418 .1955019 + _cons | -.1682557 .1593348 -1.06 0.291 -.4807126 .1442012 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 75 + F(3, 74) = 0.06 + Prob > F = 0.9790 + R-squared = 0.0029 + Root MSE = 7.3266 + + (Std. Err. adjusted for 75 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + lnpden | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .2655498 3.784574 0.07 0.944 -7.275379 7.806478 + MV1_female | .0512777 .3757846 0.14 0.892 -.6974895 .8000448 +femaleXMV1_female | -.2718949 .7339454 -0.37 0.712 -1.734313 1.190523 + _cons | 1.022718 1.947871 0.53 0.601 -2.858499 4.903935 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,281 missing values generated) +(62,333 missing values generated) +(52 real changes made) +(sum of wgt is 109.1740713119507) + +Linear regression Number of obs = 68 + F(3, 67) = 0.23 + Prob > F = 0.8773 + R-squared = 0.0138 + Root MSE = 6.6608 + + (Std. Err. adjusted for 68 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + lnpden | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -2.602894 3.711816 -0.70 0.486 -10.01171 4.805922 + MV1_female | .1787394 .3993982 0.45 0.656 -.6184628 .9759417 +femaleXMV1_female | .1967857 .6731622 0.29 0.771 -1.146852 1.540423 + _cons | 3.075511 2.024285 1.52 0.133 -.9649797 7.116001 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,228 missing values generated) +(62,169 missing values generated) +(1,941 real changes made) +(sum of wgt is 4,129.91265428066) + +Linear regression Number of obs = 2,121 + F(1, 2120) = 1.45 + Prob > F = 0.2284 + R-squared = 0.0029 + Root MSE = 7.4545 + + (Std. Err. adjusted for 2,121 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + lnpden | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.8063438 .6692916 -1.20 0.228 -2.118881 .506193 + _cons | -.1602632 .1669582 -0.96 0.337 -.4876822 .1671557 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +lag_demsha~1 | 133 .3699059 .1320743 0 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +lag_demsha~1 | 1,441 .346 .1447142 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 327 +----------------------+---------------------- NN matches = 3 + Number of obs | 235 92 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 54.543 54.334 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 16.49337 25.52374 .6461974 +---------------------------------------------- + +Linear regression Number of obs = 1,574 + F(1, 1573) = 3.94 + Prob > F = 0.0472 + R-squared = 0.0021 + Root MSE = .1437 + + (Std. Err. adjusted for 1,574 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + lag_demshare1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .0239059 .0120364 1.99 0.047 .0002967 .0475151 + _cons | .346 .0038133 90.73 0.000 .3385202 .3534797 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 111 + F(3, 110) = 1.49 + Prob > F = 0.2206 + R-squared = 0.0280 + Root MSE = .12527 + + (Std. Err. adjusted for 111 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + lag_demshare1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .0721987 .0536843 1.34 0.181 -.034191 .1785883 + MV1_female | .0002548 .0035352 0.07 0.943 -.0067512 .0072609 +femaleXMV1_female | -.00388 .0046578 -0.83 0.407 -.0131107 .0053506 + _cons | .4030738 .0379383 10.62 0.000 .327889 .4782586 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,209 missing values generated) +(62,315 missing values generated) +(106 real changes made) +(sum of wgt is 203.6852586269379) + +Linear regression Number of obs = 111 + F(3, 110) = 1.40 + Prob > F = 0.2475 + R-squared = 0.0417 + Root MSE = .11138 + + (Std. Err. adjusted for 111 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + lag_demshare1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .0605082 .0571671 1.06 0.292 -.0527836 .1737999 + MV1_female | .0003151 .003433 0.09 0.927 -.0064883 .0071186 +femaleXMV1_female | -.0026794 .0052636 -0.51 0.612 -.0131107 .0077519 + _cons | .4007019 .0364905 10.98 0.000 .3283862 .4730175 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,228 missing values generated) +(62,169 missing values generated) +(1,941 real changes made) +(sum of wgt is 2,910.36614406109) + +Linear regression Number of obs = 1,469 + F(1, 1468) = 2.10 + Prob > F = 0.1472 + R-squared = 0.0044 + Root MSE = .13104 + + (Std. Err. adjusted for 1,469 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + lag_demshare1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .0173652 .0119731 1.45 0.147 -.0061211 .0408514 + _cons | .3516022 .0038353 91.68 0.000 .3440791 .3591254 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + DSpndPct | 184 26.82783 20.82941 0 86.03178 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + DSpndPct | 2,089 25.44121 21.20946 0 99.50506 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 455 +----------------------+---------------------- NN matches = 3 + Number of obs | 326 129 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 14.48487 24.08867 .6013147 +---------------------------------------------- + +Linear regression Number of obs = 2,273 + F(1, 2272) = 0.75 + Prob > F = 0.3865 + R-squared = 0.0003 + Root MSE = 21.179 + + (Std. Err. adjusted for 2,273 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + DSpndPct | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | 1.386623 1.600823 0.87 0.386 -1.752604 4.52585 + _cons | 25.44121 .4641384 54.81 0.000 24.53103 26.35138 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 119 + F(3, 118) = 2.70 + Prob > F = 0.0489 + R-squared = 0.0556 + Root MSE = 15.573 + + (Std. Err. adjusted for 119 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + DSpndPct | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .5624016 6.134425 0.09 0.927 -11.58543 12.71023 + MV1_female | .8113177 .4040695 2.01 0.047 .0111502 1.611485 +femaleXMV1_female | -1.822137 .6862951 -2.66 0.009 -3.181188 -.4630857 + _cons | 47.1701 2.924933 16.13 0.000 41.37794 52.96227 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,233 missing values generated) +(62,318 missing values generated) +(85 real changes made) +(sum of wgt is 219.0719569921494) + +Linear regression Number of obs = 116 + F(3, 115) = 3.02 + Prob > F = 0.0327 + R-squared = 0.0682 + Root MSE = 14.009 + + (Std. Err. adjusted for 116 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + DSpndPct | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .1086454 5.452608 0.02 0.984 -10.69192 10.90921 + MV1_female | .7197987 .4188709 1.72 0.088 -.1099039 1.549501 +femaleXMV1_female | -1.750416 .6521998 -2.68 0.008 -3.042298 -.4585334 + _cons | 47.58229 3.038204 15.66 0.000 41.56419 53.60038 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,228 missing values generated) +(62,169 missing values generated) +(1,941 real changes made) +(sum of wgt is 4,129.91265428066) + +Linear regression Number of obs = 2,121 + F(1, 2120) = 3.03 + Prob > F = 0.0816 + R-squared = 0.0064 + Root MSE = 20.838 + + (Std. Err. adjusted for 2,121 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + DSpndPct | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | 3.34438 1.919802 1.74 0.082 -.4205115 7.109271 + _cons | 23.79666 .4726035 50.35 0.000 22.86985 24.72348 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + absMV | 180 .2878502 .2175798 .001182 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + absMV | 1,941 .3365989 .2457196 .0003493 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 455 +----------------------+---------------------- NN matches = 3 + Number of obs | 326 129 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 11.1804 16.73819 .6679579 +---------------------------------------------- + +Linear regression Number of obs = 2,121 + F(1, 2120) = 8.11 + Prob > F = 0.0044 + R-squared = 0.0031 + Root MSE = .24347 + + (Std. Err. adjusted for 2,121 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + absMV | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.0487487 .0171146 -2.85 0.004 -.082312 -.0151855 + _cons | .3365989 .0055785 60.34 0.000 .3256589 .3475389 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 96 + F(0, 95) = . + Prob > F = . + R-squared = 1.0000 + Root MSE = 0 + + (Std. Err. adjusted for 96 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + absMV | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | 5.73e-10 4.55e-10 1.26 0.211 -3.30e-10 1.48e-09 + MV1_female | -.01 9.28e-11 -1.1e+08 0.000 -.01 -.01 +femaleXMV1_female | .02 1.27e-10 1.6e+08 0.000 .02 .02 + _cons | -3.83e-10 3.33e-10 -1.15 0.253 -1.04e-09 2.78e-10 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,255 missing values generated) +(62,325 missing values generated) +(70 real changes made) +(sum of wgt is 175.9364014863968) + +Linear regression Number of obs = 94 + F(1, 93) = . + Prob > F = . + R-squared = 1.0000 + Root MSE = 0 + + (Std. Err. adjusted for 94 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + absMV | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | 2.47e-10 4.99e-10 0.49 0.622 -7.44e-10 1.24e-09 + MV1_female | -.01 8.56e-11 -1.2e+08 0.000 -.01 -.01 +femaleXMV1_female | .02 1.14e-10 1.7e+08 0.000 .02 .02 + _cons | -4.20e-10 3.14e-10 -1.34 0.184 -1.04e-09 2.03e-10 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,228 missing values generated) +(62,169 missing values generated) +(1,941 real changes made) +(sum of wgt is 4,129.91265428066) + +Linear regression Number of obs = 2,121 + F(1, 2120) = 0.28 + Prob > F = 0.5979 + R-squared = 0.0008 + Root MSE = .23934 + + (Std. Err. adjusted for 2,121 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + absMV | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.0132413 .0251042 -0.53 0.598 -.0624728 .0359901 + _cons | .3321642 .0054573 60.87 0.000 .321462 .3428663 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +sponsor_de~t | 184 0 0 0 0 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +sponsor_de~t | 2,089 0 0 0 0 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 455 +----------------------+---------------------- NN matches = 3 + Number of obs | 326 129 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | . . . +---------------------------------------------- + +Linear regression Number of obs = 2,273 + F(0, 2272) = . + Prob > F = . + R-squared = . + Root MSE = 0 + + (Std. Err. adjusted for 2,273 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust +sponsor_demo~t | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | 0 (omitted) + _cons | 0 (omitted) +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 455 + F(0, 454) = . + Prob > F = . + R-squared = . + Root MSE = 0 + + (Std. Err. adjusted for 455 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + sponsor_democrat | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | 0 (omitted) + MV1_female | 0 (omitted) +femaleXMV1_female | 0 (omitted) + _cons | 0 (omitted) +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,076 missing values generated) +(62,165 missing values generated) +(2,089 real changes made) +(sum of wgt is 1,914.27638936043) + +Linear regression Number of obs = 455 + F(0, 454) = . + Prob > F = . + R-squared = . + Root MSE = 0 + + (Std. Err. adjusted for 455 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + sponsor_democrat | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | 0 (omitted) + MV1_female | 0 (omitted) +femaleXMV1_female | 0 (omitted) + _cons | 0 (omitted) +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,228 missing values generated) +(62,169 missing values generated) +(1,941 real changes made) +(sum of wgt is 4,129.91265428066) + +Linear regression Number of obs = 2,121 + F(0, 2120) = . + Prob > F = . + R-squared = . + Root MSE = 0 + + (Std. Err. adjusted for 2,121 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust +sponsor_demo~t | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | 0 (omitted) + _cons | 0 (omitted) +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +sponsor_te~n | 184 4.016304 2.53818 1 12 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +sponsor_te~n | 2,089 5.182384 3.58981 1 20 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 455 +----------------------+---------------------- NN matches = 3 + Number of obs | 326 129 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 15.10671 26.15338 .5776198 +---------------------------------------------- + +Linear regression Number of obs = 2,273 + F(1, 2272) = 33.14 + Prob > F = 0.0000 + R-squared = 0.0081 + Root MSE = 3.5167 + + (Std. Err. adjusted for 2,273 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust +sponsor_tenu~n | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -1.16608 .2025451 -5.76 0.000 -1.563272 -.7688869 + _cons | 5.182384 .0785578 65.97 0.000 5.028331 5.336437 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 126 + F(3, 125) = 0.85 + Prob > F = 0.4701 + R-squared = 0.0269 + Root MSE = 3.5289 + + (Std. Err. adjusted for 126 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust +sponsor_tenure_~n | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .6860732 1.167849 0.59 0.558 -1.625246 2.997392 + MV1_female | -.1429493 .0954338 -1.50 0.137 -.3318246 .0459259 +femaleXMV1_female | .1308419 .1350344 0.97 0.334 -.1364079 .3980916 + _cons | 2.69375 .7141607 3.77 0.000 1.280337 4.107163 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,226 missing values generated) +(62,317 missing values generated) +(91 real changes made) +(sum of wgt is 238.6218556165695) + +Linear regression Number of obs = 123 + F(3, 122) = 0.65 + Prob > F = 0.5839 + R-squared = 0.0178 + Root MSE = 3.2186 + + (Std. Err. adjusted for 123 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust +sponsor_tenure_~n | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .3612093 1.490346 0.24 0.809 -2.589079 3.311498 + MV1_female | -.1257872 .0958855 -1.31 0.192 -.3156021 .0640277 +femaleXMV1_female | .195558 .1761861 1.11 0.269 -.15322 .5443359 + _cons | 2.571523 .7057805 3.64 0.000 1.17436 3.968686 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,228 missing values generated) +(62,169 missing values generated) +(1,941 real changes made) +(sum of wgt is 4,129.91265428066) + +Linear regression Number of obs = 2,121 + F(1, 2120) = 55.55 + Prob > F = 0.0000 + R-squared = 0.0546 + Root MSE = 3.0171 + + (Std. Err. adjusted for 2,121 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust +sponsor_tenu~n | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -1.44991 .1945338 -7.45 0.000 -1.831408 -1.068413 + _cons | 5.137329 .0821124 62.56 0.000 4.976299 5.298358 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +sponsor_ro~e | 184 .173913 .3800689 0 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +sponsor_ro~e | 2,089 .1464816 .353673 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 455 +----------------------+---------------------- NN matches = 3 + Number of obs | 326 129 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 20.04523 31.77136 .6309215 +---------------------------------------------- + +Linear regression Number of obs = 2,273 + F(1, 2272) = 0.89 + Prob > F = 0.3444 + R-squared = 0.0004 + Root MSE = .35587 + + (Std. Err. adjusted for 2,273 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust +sponsor_rookie | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .0274315 .0290067 0.95 0.344 -.029451 .0843139 + _cons | .1464816 .0077396 18.93 0.000 .1313041 .161659 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 183 + F(3, 182) = 4.07 + Prob > F = 0.0080 + R-squared = 0.0605 + Root MSE = .46201 + + (Std. Err. adjusted for 183 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + sponsor_rookie | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.2564369 .1726215 -1.49 0.139 -.5970336 .0841598 + MV1_female | .0226456 .0064983 3.48 0.001 .0098239 .0354673 +femaleXMV1_female | -.0219197 .0136423 -1.61 0.110 -.0488372 .0049978 + _cons | .574464 .0853534 6.73 0.000 .4060547 .7428734 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,166 missing values generated) +(62,303 missing values generated) +(137 real changes made) +(sum of wgt is 364.826892375946) + +Linear regression Number of obs = 183 + F(3, 182) = 4.50 + Prob > F = 0.0045 + R-squared = 0.0555 + Root MSE = .45417 + + (Std. Err. adjusted for 183 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + sponsor_rookie | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.2597209 .2024682 -1.28 0.201 -.6592076 .1397658 + MV1_female | .0241309 .0067159 3.59 0.000 .01088 .0373819 +femaleXMV1_female | -.0305314 .015473 -1.97 0.050 -.061061 -1.83e-06 + _cons | .6071401 .087275 6.96 0.000 .4349391 .779341 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,228 missing values generated) +(62,169 missing values generated) +(1,941 real changes made) +(sum of wgt is 4,129.91265428066) + +Linear regression Number of obs = 2,121 + F(1, 2120) = 0.23 + Prob > F = 0.6331 + R-squared = 0.0004 + Root MSE = .36817 + + (Std. Err. adjusted for 2,121 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust +sponsor_rookie | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .0148623 .0311287 0.48 0.633 -.0461837 .0759082 + _cons | .154357 .0082552 18.70 0.000 .1381678 .1705462 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + sponsor_age | 183 55.01639 9.489425 32 80 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + sponsor_age | 2,089 53.23169 10.0769 27 86 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 454 +----------------------+---------------------- NN matches = 3 + Number of obs | 326 128 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 13.80724 23.91952 .5772371 +---------------------------------------------- + +Linear regression Number of obs = 2,272 + F(1, 2271) = 5.92 + Prob > F = 0.0151 + R-squared = 0.0023 + Root MSE = 10.031 + + (Std. Err. adjusted for 2,272 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + sponsor_age | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | 1.784704 .7337866 2.43 0.015 .3457415 3.223666 + _cons | 53.23169 .2205186 241.39 0.000 52.79925 53.66413 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 113 + F(3, 112) = 1.75 + Prob > F = 0.1615 + R-squared = 0.0411 + Root MSE = 10.341 + + (Std. Err. adjusted for 113 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + sponsor_age | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | 5.465748 3.508571 1.56 0.122 -1.486036 12.41753 + MV1_female | -.2992678 .2921269 -1.02 0.308 -.8780799 .2795442 +femaleXMV1_female | .4163619 .4424472 0.94 0.349 -.4602906 1.293014 + _cons | 47.59823 2.209594 21.54 0.000 43.2202 51.97625 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,238 missing values generated) +(62,321 missing values generated) +(83 real changes made) +(sum of wgt is 206.7682293653488) + +Linear regression Number of obs = 110 + F(3, 109) = 1.63 + Prob > F = 0.1859 + R-squared = 0.1432 + Root MSE = 10.709 + + (Std. Err. adjusted for 110 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + sponsor_age | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | 1.978609 4.305955 0.46 0.647 -6.555653 10.51287 + MV1_female | -.3530263 .3030507 -1.16 0.247 -.953663 .2476104 +femaleXMV1_female | 1.33518 .7030159 1.90 0.060 -.0581746 2.728535 + _cons | 47.27579 2.337659 20.22 0.000 42.64263 51.90896 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,228 missing values generated) +(62,169 missing values generated) +(1,941 real changes made) +(sum of wgt is 4,121.26808106899) + +Linear regression Number of obs = 2,120 + F(1, 2119) = 4.81 + Prob > F = 0.0285 + R-squared = 0.0067 + Root MSE = 9.4504 + + (Std. Err. adjusted for 2,120 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + sponsor_age | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | 1.554889 .7092137 2.19 0.028 .1640611 2.945717 + _cons | 53.01837 .2288479 231.68 0.000 52.56958 53.46716 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + leader | 184 .0326087 .1780948 0 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + leader | 2,089 .1134514 .3172197 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 455 +----------------------+---------------------- NN matches = 3 + Number of obs | 326 129 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 14.49538 29.24782 .4956054 +---------------------------------------------- + +Linear regression Number of obs = 2,273 + F(1, 2272) = 29.74 + Prob > F = 0.0000 + R-squared = 0.0051 + Root MSE = .30834 + + (Std. Err. adjusted for 2,273 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + leader | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.0808427 .0148251 -5.45 0.000 -.1099148 -.0517706 + _cons | .1134514 .0069419 16.34 0.000 .0998383 .1270645 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 119 + F(3, 118) = 1.60 + Prob > F = 0.1927 + R-squared = 0.0224 + Root MSE = .20179 + + (Std. Err. adjusted for 119 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + leader | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.0298025 .0491716 -0.61 0.546 -.1271757 .0675706 + MV1_female | -.0067185 .0063113 -1.06 0.289 -.0192165 .0057796 +femaleXMV1_female | .0146812 .0100263 1.46 0.146 -.0051735 .034536 + _cons | -.0010043 .0379233 -0.03 0.979 -.0761029 .0740942 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,233 missing values generated) +(62,318 missing values generated) +(85 real changes made) +(sum of wgt is 219.0719569921494) + +Linear regression Number of obs = 116 + F(3, 115) = 1.52 + Prob > F = 0.2137 + R-squared = 0.0216 + Root MSE = .16795 + + (Std. Err. adjusted for 116 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + leader | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.0311849 .0456651 -0.68 0.496 -.1216387 .0592689 + MV1_female | -.0051184 .0053659 -0.95 0.342 -.0157473 .0055104 +femaleXMV1_female | .0115034 .0083349 1.38 0.170 -.0050065 .0280132 + _cons | .0013796 .0339528 0.04 0.968 -.0658743 .0686335 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,228 missing values generated) +(62,169 missing values generated) +(1,941 real changes made) +(sum of wgt is 4,129.91265428066) + +Linear regression Number of obs = 2,121 + F(1, 2120) = 35.67 + Prob > F = 0.0000 + R-squared = 0.0278 + Root MSE = .25146 + + (Std. Err. adjusted for 2,121 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + leader | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.0850238 .0142358 -5.97 0.000 -.1129415 -.0571062 + _cons | .1111996 .0071471 15.56 0.000 .0971834 .1252157 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + borninstate | 183 .3551913 .4798842 0 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + borninstate | 2,078 .686718 .4639396 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 451 +----------------------+---------------------- NN matches = 3 + Number of obs | 323 128 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 21.21164 33.83736 .6268704 +---------------------------------------------- + +Linear regression Number of obs = 2,261 + F(1, 2260) = 81.04 + Prob > F = 0.0000 + R-squared = 0.0364 + Root MSE = .46524 + + (Std. Err. adjusted for 2,261 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + borninstate | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.3315267 .0368275 -9.00 0.000 -.4037459 -.2593075 + _cons | .686718 .0101795 67.46 0.000 .6667559 .7066801 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 199 + F(3, 198) = 4.33 + Prob > F = 0.0055 + R-squared = 0.0632 + Root MSE = .48211 + + (Std. Err. adjusted for 199 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + borninstate | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.3047403 .1698845 -1.79 0.074 -.6397554 .0302749 + MV1_female | .0024335 .0062627 0.39 0.698 -.0099165 .0147836 +femaleXMV1_female | -.0032281 .0126911 -0.25 0.799 -.0282552 .0217989 + _cons | .6815286 .0818997 8.32 0.000 .5200211 .8430362 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,146 missing values generated) +(62,299 missing values generated) +(153 real changes made) +(sum of wgt is 405.8521195650101) + +Linear regression Number of obs = 199 + F(3, 198) = 0.68 + Prob > F = 0.5662 + R-squared = 0.0259 + Root MSE = .49517 + + (Std. Err. adjusted for 199 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + borninstate | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.2460272 .2208231 -1.11 0.267 -.6814942 .1894399 + MV1_female | .0008694 .006672 0.13 0.896 -.0122879 .0140267 +femaleXMV1_female | .005985 .0158655 0.38 0.706 -.0253021 .0372721 + _cons | .6449601 .0883639 7.30 0.000 .4707049 .8192153 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,228 missing values generated) +(62,169 missing values generated) +(1,941 real changes made) +(sum of wgt is 4,111.02509236336) + +Linear regression Number of obs = 2,109 + F(1, 2108) = 87.83 + Prob > F = 0.0000 + R-squared = 0.1347 + Root MSE = .46533 + + (Std. Err. adjusted for 2,109 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + borninstate | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.3671196 .0391739 -9.37 0.000 -.4439432 -.290296 + _cons | .6799798 .0106829 63.65 0.000 .6590295 .70093 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + ivycoll | 183 .0437158 .2050231 0 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + ivycoll | 2,068 .0749516 .263377 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 447 +----------------------+---------------------- NN matches = 3 + Number of obs | 319 128 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 7.359556 20.10461 .3660631 +---------------------------------------------- + +Linear regression Number of obs = 2,251 + F(1, 2250) = 3.72 + Prob > F = 0.0539 + R-squared = 0.0011 + Root MSE = .25914 + + (Std. Err. adjusted for 2,251 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + ivycoll | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.0312358 .0161926 -1.93 0.054 -.0629899 .0005183 + _cons | .0749516 .0057928 12.94 0.000 .0635918 .0863115 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 55 + F(1, 54) = . + Prob > F = . + R-squared = 0.0403 + Root MSE = .19044 + + (Std. Err. adjusted for 55 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + ivycoll | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .0210832 .0325762 0.65 0.520 -.0442282 .0863946 + MV1_female | -.0195593 .0162138 -1.21 0.233 -.052066 .0129474 +femaleXMV1_female | .0195593 .0162138 1.21 0.233 -.0129474 .052066 + _cons | -.0210832 .0325762 -0.65 0.520 -.0863946 .0442282 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,310 missing values generated) +(62,337 missing values generated) +(27 real changes made) +(sum of wgt is 60.99336361885071) + +Linear regression Number of obs = 36 + F(1, 35) = . + Prob > F = . + R-squared = 0.0159 + Root MSE = .13461 + + (Std. Err. adjusted for 36 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + ivycoll | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.0050861 .0143776 -0.35 0.726 -.0342742 .024102 + MV1_female | -.0066349 .0086863 -0.76 0.450 -.024269 .0109991 +femaleXMV1_female | .0066349 .0086863 0.76 0.450 -.0109991 .024269 + _cons | .0050861 .0143776 0.35 0.726 -.024102 .0342742 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,228 missing values generated) +(62,169 missing values generated) +(1,941 real changes made) +(sum of wgt is 4,099.81516182423) + +Linear regression Number of obs = 2,099 + F(1, 2098) = 12.18 + Prob > F = 0.0005 + R-squared = 0.0098 + Root MSE = .22252 + + (Std. Err. adjusted for 2,099 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + ivycoll | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.0442178 .0126724 -3.49 0.000 -.0690696 -.019366 + _cons | .0743215 .0059905 12.41 0.000 .0625737 .0860694 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + occ0 | 177 .1864407 .3905667 0 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + occ0 | 2,068 .1310445 .3375306 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 443 +----------------------+---------------------- NN matches = 3 + Number of obs | 319 124 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 17.86732 27.10865 .6591 +---------------------------------------------- + +Linear regression Number of obs = 2,245 + F(1, 2244) = 3.36 + Prob > F = 0.0669 + R-squared = 0.0019 + Root MSE = .34199 + + (Std. Err. adjusted for 2,245 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + occ0 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .0553962 .0302131 1.83 0.067 -.0038523 .1146447 + _cons | .1310445 .0074238 17.65 0.000 .1164862 .1456027 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 156 + F(3, 155) = 1.07 + Prob > F = 0.3631 + R-squared = 0.0325 + Root MSE = .32589 + + (Std. Err. adjusted for 156 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + occ0 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .1962526 .1649652 1.19 0.236 -.1296175 .5221228 + MV1_female | .0042342 .0053197 0.80 0.427 -.0062742 .0147427 +femaleXMV1_female | -.0196371 .0134486 -1.46 0.146 -.0462033 .0069292 + _cons | .1418649 .0631684 2.25 0.026 .0170827 .266647 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,185 missing values generated) +(62,309 missing values generated) +(124 real changes made) +(sum of wgt is 273.2041857242584) + +Linear regression Number of obs = 156 + F(3, 155) = 1.65 + Prob > F = 0.1804 + R-squared = 0.1407 + Root MSE = .36632 + + (Std. Err. adjusted for 156 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + occ0 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .4287508 .2426434 1.77 0.079 -.0505638 .9080654 + MV1_female | .0044948 .0048479 0.93 0.355 -.0050817 .0140714 +femaleXMV1_female | -.0304969 .0154458 -1.97 0.050 -.0610084 .0000146 + _cons | .1316933 .0587962 2.24 0.027 .015548 .2478386 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,228 missing values generated) +(62,169 missing values generated) +(1,941 real changes made) +(sum of wgt is 4,046.91350281239) + +Linear regression Number of obs = 2,093 + F(1, 2092) = 2.74 + Prob > F = 0.0983 + R-squared = 0.0055 + Root MSE = .35848 + + (Std. Err. adjusted for 2,093 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + occ0 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .0535726 .0323884 1.65 0.098 -.0099444 .1170895 + _cons | .1265051 .0075583 16.74 0.000 .1116826 .1413277 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + occ1 | 177 .1977401 .399425 0 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + occ1 | 2,068 .065764 .2479291 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 443 +----------------------+---------------------- NN matches = 3 + Number of obs | 319 124 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 9.706917 17.47294 .5555399 +---------------------------------------------- + +Linear regression Number of obs = 2,245 + F(1, 2244) = 18.79 + Prob > F = 0.0000 + R-squared = 0.0180 + Root MSE = .26299 + + (Std. Err. adjusted for 2,245 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + occ1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .1319761 .0304434 4.34 0.000 .0722759 .1916763 + _cons | .065764 .0054531 12.06 0.000 .0550704 .0764576 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 74 + F(3, 73) = 0.32 + Prob > F = 0.8107 + R-squared = 0.0157 + Root MSE = .27844 + + (Std. Err. adjusted for 74 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + occ1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .1417388 .1648867 0.86 0.393 -.1868799 .4703575 + MV1_female | -.0089902 .0132554 -0.68 0.500 -.0354081 .0174277 +femaleXMV1_female | -.0021462 .0269727 -0.08 0.937 -.0559027 .0516104 + _cons | .0277637 .0614532 0.45 0.653 -.0947123 .1502397 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,275 missing values generated) +(62,332 missing values generated) +(57 real changes made) +(sum of wgt is 117.960702419281) + +Linear regression Number of obs = 70 + F(3, 69) = 0.60 + Prob > F = 0.6184 + R-squared = 0.0838 + Root MSE = .28093 + + (Std. Err. adjusted for 70 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + occ1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .2976748 .2442409 1.22 0.227 -.1895725 .7849221 + MV1_female | -.0060581 .0109496 -0.55 0.582 -.0279019 .0157856 +femaleXMV1_female | -.0247592 .036129 -0.69 0.495 -.0968346 .0473162 + _cons | .0157343 .0491852 0.32 0.750 -.0823875 .113856 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,228 missing values generated) +(62,169 missing values generated) +(1,941 real changes made) +(sum of wgt is 4,046.91350281239) + +Linear regression Number of obs = 2,093 + F(1, 2092) = 4.44 + Prob > F = 0.0353 + R-squared = 0.0070 + Root MSE = .28325 + + (Std. Err. adjusted for 2,093 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + occ1 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .0474579 .0225348 2.11 0.035 .0032649 .0916509 + _cons | .0657119 .005671 11.59 0.000 .0545906 .0768333 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + occ2 | 177 .0282486 .1661523 0 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + occ2 | 2,068 .2751451 .4466954 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 443 +----------------------+---------------------- NN matches = 3 + Number of obs | 319 124 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 17.55801 31.7857 .552387 +---------------------------------------------- + +Linear regression Number of obs = 2,245 + F(1, 2244) = 242.13 + Prob > F = 0.0000 + R-squared = 0.0233 + Root MSE = .43133 + + (Std. Err. adjusted for 2,245 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + occ2 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.2468965 .0158667 -15.56 0.000 -.2780115 -.2157815 + _cons | .2751451 .0098248 28.01 0.000 .2558784 .2944118 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 153 + F(1, 152) = . + Prob > F = . + R-squared = 0.0583 + Root MSE = .35762 + + (Std. Err. adjusted for 153 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + occ2 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.1811667 .0715565 -2.53 0.012 -.3225403 -.039793 + MV1_female | -.0025089 .0065941 -0.38 0.704 -.0155368 .010519 +femaleXMV1_female | .0025089 .0065941 0.38 0.704 -.010519 .0155368 + _cons | .1811667 .0715565 2.53 0.012 .039793 .3225403 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,188 missing values generated) +(62,310 missing values generated) +(122 real changes made) +(sum of wgt is 264.7091170549393) + +Linear regression Number of obs = 153 + F(1, 152) = . + Prob > F = . + R-squared = 0.0926 + Root MSE = .31137 + + (Std. Err. adjusted for 153 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + occ2 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.177891 .0752659 -2.36 0.019 -.3265934 -.0291886 + MV1_female | -.0021403 .0072247 -0.30 0.767 -.0164142 .0121336 +femaleXMV1_female | .0021403 .0072247 0.30 0.767 -.0121336 .0164142 + _cons | .177891 .0752659 2.36 0.019 .0291886 .3265934 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,228 missing values generated) +(62,169 missing values generated) +(1,941 real changes made) +(sum of wgt is 4,046.91350281239) + +Linear regression Number of obs = 2,093 + F(1, 2092) = 180.53 + Prob > F = 0.0000 + R-squared = 0.1082 + Root MSE = .34313 + + (Std. Err. adjusted for 2,093 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + occ2 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.2391446 .0177984 -13.44 0.000 -.274049 -.2042401 + _cons | .2714774 .010169 26.70 0.000 .251535 .2914199 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + occ3 | 177 0 0 0 0 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + occ3 | 2,068 .0667311 .2496162 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 443 +----------------------+---------------------- NN matches = 3 + Number of obs | 319 124 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 18.36586 34.84331 .5270987 +---------------------------------------------- + +Linear regression Number of obs = 2,245 + F(0, 2244) = . + Prob > F = . + R-squared = 0.0056 + Root MSE = .23962 + + (Std. Err. adjusted for 2,245 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + occ3 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.0667311 .0054902 -12.15 0.000 -.0774975 -.0559648 + _cons | .0667311 .0054902 12.15 0.000 .0559648 .0774975 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 157 + F(1, 156) = . + Prob > F = . + R-squared = 0.0150 + Root MSE = .2075 + + (Std. Err. adjusted for 157 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + occ3 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.0626349 .0427268 -1.47 0.145 -.1470327 .0217629 + MV1_female | .0003934 .0037055 0.11 0.916 -.0069261 .0077129 +femaleXMV1_female | -.0003934 .0037055 -0.11 0.916 -.0077129 .0069261 + _cons | .0626349 .0427268 1.47 0.145 -.0217629 .1470327 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,184 missing values generated) +(62,308 missing values generated) +(124 real changes made) +(sum of wgt is 277.0572957992554) + +Linear regression Number of obs = 157 + F(1, 156) = . + Prob > F = . + R-squared = 0.0431 + Root MSE = .19598 + + (Std. Err. adjusted for 157 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + occ3 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.1233001 .0793774 -1.55 0.122 -.2800933 .0334931 + MV1_female | .0052644 .0058963 0.89 0.373 -.0063825 .0169112 +femaleXMV1_female | -.0052644 .0058963 -0.89 0.373 -.0169112 .0063825 + _cons | .1233001 .0793774 1.55 0.122 -.0334931 .2800933 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,228 missing values generated) +(62,169 missing values generated) +(1,941 real changes made) +(sum of wgt is 4,046.91350281239) + +Linear regression Number of obs = 2,093 + F(0, 2092) = . + Prob > F = . + R-squared = 0.0343 + Root MSE = .18223 + + (Std. Err. adjusted for 2,093 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + occ3 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.0686972 .0057823 -11.88 0.000 -.0800369 -.0573576 + _cons | .0686972 .0057823 11.88 0.000 .0573576 .0800369 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + occ4 | 177 .1129944 .317484 0 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + occ4 | 2,068 .2770793 .4476642 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 443 +----------------------+---------------------- NN matches = 3 + Number of obs | 319 124 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 17.03986 29.21458 .5832657 +---------------------------------------------- + +Linear regression Number of obs = 2,245 + F(1, 2244) = 40.57 + Prob > F = 0.0000 + R-squared = 0.0101 + Root MSE = .43885 + + (Std. Err. adjusted for 2,245 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + occ4 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.164085 .0257624 -6.37 0.000 -.2146057 -.1135642 + _cons | .2770793 .0098461 28.14 0.000 .2577708 .2963878 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 150 + F(3, 149) = 5.53 + Prob > F = 0.0013 + R-squared = 0.0608 + Root MSE = .44724 + + (Std. Err. adjusted for 150 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + occ4 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .0695223 .1605923 0.43 0.666 -.2478103 .3868549 + MV1_female | -.0142151 .0082647 -1.72 0.088 -.0305463 .0021161 +femaleXMV1_female | -.0000906 .0133381 -0.01 0.995 -.0264469 .0262656 + _cons | .2052935 .0849681 2.42 0.017 .0373953 .3731916 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,191 missing values generated) +(62,311 missing values generated) +(120 real changes made) +(sum of wgt is 256.5039837360382) + +Linear regression Number of obs = 150 + F(3, 149) = 0.81 + Prob > F = 0.4904 + R-squared = 0.0218 + Root MSE = .44647 + + (Std. Err. adjusted for 150 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + occ4 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .0511582 .1667078 0.31 0.759 -.2782587 .3805751 + MV1_female | -.0115323 .0086185 -1.34 0.183 -.0285626 .0054979 +femaleXMV1_female | .0075701 .0155049 0.49 0.626 -.0230677 .038208 + _cons | .1992279 .0867581 2.30 0.023 .0277928 .370663 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,228 missing values generated) +(62,169 missing values generated) +(1,941 real changes made) +(sum of wgt is 4,046.91350281239) + +Linear regression Number of obs = 2,093 + F(1, 2092) = 41.65 + Prob > F = 0.0000 + R-squared = 0.0466 + Root MSE = .38844 + + (Std. Err. adjusted for 2,093 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + occ4 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.1717761 .0266182 -6.45 0.000 -.2239771 -.1195752 + _cons | .2795578 .0102508 27.27 0.000 .259455 .2996606 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + occ6 | 177 .4745763 .5007698 0 1 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + occ6 | 2,068 .1479691 .3551552 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 443 +----------------------+---------------------- NN matches = 3 + Number of obs | 319 124 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 9.950763 18.27389 .5445344 +---------------------------------------------- + +Linear regression Number of obs = 2,245 + F(1, 2244) = 72.51 + Prob > F = 0.0000 + R-squared = 0.0540 + Root MSE = .36867 + + (Std. Err. adjusted for 2,245 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + occ6 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .3266072 .0383543 8.52 0.000 .2513936 .4018208 + _cons | .1479691 .0078114 18.94 0.000 .1326506 .1632875 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 77 + F(3, 76) = 3.34 + Prob > F = 0.0236 + R-squared = 0.1012 + Root MSE = .42694 + + (Std. Err. adjusted for 77 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + occ6 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.1549928 .2303311 -0.67 0.503 -.613737 .3037513 + MV1_female | .0397596 .0169553 2.34 0.022 .0059901 .0735291 +femaleXMV1_female | -.0070305 .0392345 -0.18 0.858 -.0851728 .0711118 + _cons | .4143581 .1181721 3.51 0.001 .1789979 .6497183 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(62,273 missing values generated) +(62,332 missing values generated) +(59 real changes made) +(sum of wgt is 121.8195006847382) + +Linear regression Number of obs = 72 + F(3, 71) = 1.90 + Prob > F = 0.1367 + R-squared = 0.0606 + Root MSE = .44491 + + (Std. Err. adjusted for 72 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + occ6 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .055637 .2860527 0.19 0.846 -.5147359 .6260098 + MV1_female | .0332212 .0168932 1.97 0.053 -.0004629 .0669052 +femaleXMV1_female | -.0473491 .0466663 -1.01 0.314 -.1403991 .0457009 + _cons | .3769408 .1216608 3.10 0.003 .134356 .6195256 +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,228 missing values generated) +(62,169 missing values generated) +(1,941 real changes made) +(sum of wgt is 4,046.91350281239) + +Linear regression Number of obs = 2,093 + F(1, 2092) = 89.04 + Prob > F = 0.0000 + R-squared = 0.1889 + Root MSE = .43013 + + (Std. Err. adjusted for 2,093 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + occ6 | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | .415265 .0440074 9.44 0.000 .3289622 .5015677 + _cons | .1513729 .0083067 18.22 0.000 .1350826 .1676631 +-------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + black | 184 0 0 0 0 + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- + black | 2,089 .0033509 .0578036 0 1 +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 455 +----------------------+---------------------- NN matches = 3 + Number of obs | 326 129 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | . . . +---------------------------------------------- + +Linear regression Number of obs = 2,273 + F(0, 2272) = . + Prob > F = . + R-squared = 0.0003 + Root MSE = .05543 + + (Std. Err. adjusted for 2,273 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + black | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.0033509 .0012649 -2.65 0.008 -.0058315 -.0008703 + _cons | .0033509 .0012649 2.65 0.008 .0008703 .0058315 +-------------------------------------------------------------------------------- + +Linear regression Number of obs = 455 + F(0, 454) = . + Prob > F = . + R-squared = . + Root MSE = 0 + + (Std. Err. adjusted for 455 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + black | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | 0 (omitted) + MV1_female | 0 (omitted) +femaleXMV1_female | 0 (omitted) + _cons | 0 (omitted) +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,076 missing values generated) +(62,165 missing values generated) +(2,089 real changes made) +(sum of wgt is 1,914.27638936043) + +Linear regression Number of obs = 455 + F(0, 454) = . + Prob > F = . + R-squared = . + Root MSE = 0 + + (Std. Err. adjusted for 455 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + black | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | 0 (omitted) + MV1_female | 0 (omitted) +femaleXMV1_female | 0 (omitted) + _cons | 0 (omitted) +----------------------------------------------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,228 missing values generated) +(62,169 missing values generated) +(1,941 real changes made) +(sum of wgt is 4,129.91265428066) + +Linear regression Number of obs = 2,121 + F(0, 2120) = . + Prob > F = . + R-squared = 0.0018 + Root MSE = .04324 + + (Std. Err. adjusted for 2,121 clusters in group_sponsor) +-------------------------------------------------------------------------------- + | Robust + black | Coef. Std. Err. t P>|t| [95% Conf. Interval] +---------------+---------------------------------------------------------------- +sponsor_female | -.0036494 .0013776 -2.65 0.008 -.0063511 -.0009477 + _cons | .0036494 .0013776 2.65 0.008 .0009477 .0063511 +-------------------------------------------------------------------------------- + +. +. +. +. +. * Display results +. +. forvalues j=1/3{ + 2. gen str50 statistic_`j' = "" + 3. forvalues i = 1/4 { + 4. gen var_`j'_`i' =. + 5. } + 6. } +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) + +. +. +. forvalues j=1/3 { + 2. local k = 0 + 3. foreach var in "sponsor_NE" "sponsor_MW" "sponsor_SO" "sponsor_WE" "pct_black" "pct_urban" "pct_for_born" "pct_age_over65" "lninc" "lnpden" "lag_demshare1" " +> DSpndPct" /* +> */ "absMV" "sponsor_democrat" "sponsor_tenure_run" "sponsor_rookie" "sponsor_age" "leader" "borninstate" "ivycoll" "occ0" "occ1" "occ2" " +> occ3" "occ4" "occ6" "black" { + 4. local k = `k'+1 + 5. replace statistic_`j' = "stdiff_`var'_`j'" if _n==2*(`k'-1)+1 + 6. forvalues i=1/4 { + 7. replace var_`j'_`i' = stdiff_`var'_`j'_`i' if _n==2*(`k'-1)+1 + 8. } + 9. } + 10. } +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 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change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change 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real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(0 real changes made) +(0 real changes made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) + +. +. forvalues j=1/3 { + 2. preserve + 3. keep statistic_`j' var_`j'_* + 4. order statistic_`j' var_`j'_* + 5. keep if _n<=200 + 6. ren var_`j'_1 raw + 7. ren var_`j'_2 rd_llr + 8. ren var_`j'_3 rd_ps + 9. ren var_`j'_4 ps1_all + 10. export excel using "$Output/Table4_BalancingTests_`Party`j''", firstrow(var) replace + 11. restore + 12. } +(62,149 observations deleted) +file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/Table4_BalancingTests_ALL.xls saved +(62,149 observations deleted) +file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/Table4_BalancingTests_D.xls saved +(62,149 observations deleted) +file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/Table4_BalancingTests_R.xls saved + +. +. +. log close + name: + log: /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Log/Table4a_4b.log + log type: text + closed on: 11 May 2021, 23:48:42 +--------------------------------------------------------------------------------------------------------------------------------------------------------------------- diff --git a/30/replication_package/Log/Table5.log b/30/replication_package/Log/Table5.log new file mode 100644 index 0000000000000000000000000000000000000000..9ffe757286045c88afa6608bf93cb5821a6a6382 --- /dev/null +++ b/30/replication_package/Log/Table5.log @@ -0,0 +1,8482 @@ +--------------------------------------------------------------------------------------------------------------------------------------------------------------------- + name: + log: /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Log/Table5.log + log type: text + opened on: 8 Jul 2021, 12:20:28 + +. +. +. use "$AnalysisData/bills_analysis_101-111_replication.dta" +(Bill-level data set. Each observation is an individual bill.) + +. keep if private==0 +(1,546 observations deleted) + +. +. bysort v2 sponsor_state_abbrev sponsor_district sponsor_term_served: egen tot_bills=count(v2) + +. +. gen byte sponsor_democrat = sponsor_party==100 if sponsor_party~=. +(1,036 missing values generated) + +. +. gen byte NE = sponsor_state_icpsr>=1 & sponsor_state_icpsr<=14 if sponsor_state_icpsr~=. +(1,015 missing values generated) + +. gen byte MW = sponsor_state_icpsr>=21 & sponsor_state_icpsr<=37 if sponsor_state_icpsr~=. +(1,015 missing values generated) + +. gen byte SO = sponsor_state_icpsr>=40 & sponsor_state_icpsr<=56 if sponsor_state_icpsr~=. +(1,015 missing values generated) + +. gen byte WE = sponsor_state_icpsr>=61 & sponsor_state_icpsr<=82 if sponsor_state_icpsr~=. +(1,015 missing values generated) + +. +. replace sponsor_age=. if sponsor_age>100 +(0 real changes made) + +. gen sponsor_rookie=(sponsor_tenure_run==1) if sponsor_tenure_run!=. +(1,015 missing values generated) + +. gen byte leader = (comc==1) | (comr==1) if comc~=. & comr~=. +(1,015 missing values generated) + +. +. gen lnpden=lnpop-lnarea +(1,015 missing values generated) + +. gen absMV=abs(MV1_democrat) +(6,677 missing values generated) + +. +. egen tag_congressmen=tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) + +. egen group_congressmen = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +(1,015 missing values generated) + +. egen tag_sponsor = tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) + +. egen group_sponsor = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +(1,015 missing values generated) + +. +. bysort v2 sponsor_state_abbrev sponsor_district sponsor_term_served: egen numb_cosponsors_m=mean(numb_cosponsors) +(1,015 missing values generated) + +. +. cap drop pct_cosponsors_opposite + +. gen pct_cosponsors_opposite=100*numb_cosponsors_opposite/(numb_cosponsors+1) +(1,015 missing values generated) + +. replace pct_cosponsors_opposite=. if pct_cosponsors_opposite>100 +(3 real changes made, 3 to missing) + +. +. compress + variable tot_bills was float now int + variable sponsor_rookie was float now byte + variable group_congressmen was float now int + variable group_sponsor was float now int + (561,141 bytes saved) + +. +. egen tag_bill = tag(v2 HRnumber) + +. +. gen int decade = 1980 if v2<=102 +(50,563 missing values generated) + +. replace decade=1990 if v2>=103 & v2<=107 +(25,238 real changes made) + +. replace decade=2000 if v2>=108 +(25,325 real changes made) + +. +. egen district_id = group(decade sponsor_state_abbrev sponsor_district) +(1,015 missing values generated) + +. +. local controls1 = "i.v2 " + +. local controls2 = "i.v2 MV1_female femaleXMV1_female " + +. local controls3 = "i.v2 MV1_female femaleXMV1_female " + +. local controls4 = "i.v2 " + +. local controls5 = "i.v2 " + +. +. local other_controls = "i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate to +> t_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden" + +. local billchars = "i.minor house_*" + +. local indivchars = "sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate tot_bills" + +. local districtchars = "NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden" + +. +. local if1 = "if tag_bill==1" + +. local if2 = "if sponsor_party==100 & tag_bill==1" + +. local if3 = "if sponsor_party==200 & tag_bill==1" + +. +. foreach depvar of varlist numb_cosponsors pct_cosponsors_opposite { + 2. forvalues j=1/5 { + 3. forvalues k = 1/3 { + 4. qui reg `depvar' sponsor_female `controls2' `other_controls' `if`k'' & mixed_gender_election==1, robust cluster(group_sponsor) + 5. qui gen sample=e(sample) + 6. +. di "" + 7. di "" + 8. di "j = ", `j', "k = ", `k' + 9. di "" + 10. di "" + 11. +. di "rdbwselect_2014 `depvar' MV1_female `if`k'', c(0) kernel(uniform)" + 12. rdbwselect_2014 `depvar' MV1_female `if`k'', c(0) kernel(uniform) + 13. local band = e(h_CCT) + 14. +. if `j'==1 { + 15. di "reg `depvar' sponsor_female `controls`j'' `other_controls' `if`k'', robust cluster(group_sponsor)" + 16. reg `depvar' sponsor_female `controls`j'' `other_controls' `if`k'', robust cluster(group_sponsor) + 17. } + 18. else if `j'==2 { + 19. di "reg `depvar' sponsor_female `controls`j'' `if`k'' & sample==1 & abs(MV1_female)<=`band', robust cluster(group_sponsor)" + 20. reg `depvar' sponsor_female `controls`j'' `if`k'' & sample==1 & abs(MV1_female)<=`band', robust cluster(group_sponsor) + 21. } + 22. else if `j'==3 { + 23. qui probit sponsor_female i.v2 `districtchars' `if`k'' & tag_sponsor==1 & abs(MV1_female)<=`band' + 24. predict pscore if sample==1 + 25. gen wt = 1/pscore if sponsor_female==1 + 26. replace wt =1/(1-pscore) if sponsor_female==0 + 27. di "reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & sample==1 & abs(MV1_female)<=`band', robust cluster( +> group_sponsor)" + 28. reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & sample==1 & abs(MV1_female)<=`band', robust cluster(grou +> p_sponsor) + 29. drop pscore wt + 30. } + 31. else if `j'==4 { + 32. qui probit sponsor_female i.v2 `districtchars' absMV `if`k'' & tag_sponsor==1 + 33. predict pscore + 34. gen wt = 1/pscore if sponsor_female==1 + 35. replace wt =1/(1-pscore) if sponsor_female==0 + 36. di "reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'', robust cluster(group_sponsor)" + 37. reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'', robust cluster(group_sponsor) + 38. drop pscore wt + 39. } + 40. else if `j'==5 { + 41. qui probit sponsor_female i.v2 `districtchars' `indivchars' absMV `if`k'' & tag_sponsor==1 + 42. predict pscore + 43. gen wt = 1/pscore if sponsor_female==1 + 44. replace wt =1/(1-pscore) if sponsor_female==0 + 45. di "reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'', robust cluster(group_sponsor)" + 46. reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'', robust cluster(group_sponsor) + 47. drop pscore wt + 48. } + 49. +. if `j'~=2 & `j'~=3 { + 50. scalar b_col`j'_row`k' = _b[sponsor_female] + 51. scalar se_col`j'_row`k' = _se[sponsor_female] + 52. scalar n_col`j'_row`k' = e(N) + 53. sum tag_congressmen if tag_congressmen==1 & e(sample) + 54. scalar ni_col`j'_row`k' = e(N_clust) + 55. scalar ob_col`j'_row`k' = . + 56. } + 57. else if `j'==2 | `j'==3 { + 58. scalar b_col`j'_row`k' = _b[sponsor_female] + 59. scalar se_col`j'_row`k' = _se[sponsor_female] + 60. scalar n_col`j'_row`k' = e(N) + 61. sum tag_congressmen if tag_congressmen==1 & e(sample) + 62. scalar ni_col`j'_row`k' = e(N_clust) + 63. scalar ob_col`j'_row`k' = round(`band') + 64. } + 65. +. drop sample + 66. +. } + 67. } + 68. +. preserve + 69. +. * Display results +. +. forvalues i = 1/5 { + 70. gen var`i' =. + 71. } + 72. gen str20 var6 = "" + 73. +. forvalues j=1/5 { + 74. forvalues k = 1/3 { + 75. replace var`j' = b_col`j'_row`k' if _n==6*(`k'-1)+1 + 76. replace var`j' = se_col`j'_row`k' if _n==6*(`k'-1)+2 + 77. replace var`j' = n_col`j'_row`k' if _n==6*(`k'-1)+3 + 78. replace var`j' = ni_col`j'_row`k' if _n==6*(`k'-1)+4 + 79. replace var`j' = ob_col`j'_row`k' if _n==6*(`k'-1)+5 + 80. } + 81. } + 82. +. keep var1-var6 + 83. keep if _n<=18 + 84. +. order var6 var1-var5 + 85. +. ren var6 sampletype + 86. ren var1 OLS_all + 87. ren var2 RD_bwidth + 88. ren var3 RD_match_bw + 89. ren var4 PS_match + 90. ren var5 PS_match_indiv + 91. +. foreach var of varlist OLS_all RD_bwidth RD_match_bw PS_match PS_match_indiv { + 92. gen str3 `var'_stars ="*" if abs(`var'/`var'[_n+1])>=1.645 & mod(_n,6)==1 + 93. replace `var'_stars ="**" if abs(`var'/`var'[_n+1])>=1.96 & mod(_n,6)==1 + 94. replace `var'_stars="***" if abs(`var'/`var'[_n+1])>=2.58 & mod(_n,6)==1 + 95. } + 96. +. replace sampletype = "All" if _n>=1 & _n<=5 + 97. replace sampletype = "Democrats" if _n>=7 & _n<=11 + 98. replace sampletype = "Republicans" if _n>=13 & _n<=17 + 99. +. order sampletype OLS_all OLS_all_stars RD_bwidth RD_bwidth_stars RD_match_bw RD_match_bw_stars PS_match PS_match_stars PS_match_indiv PS_match_indiv_stars +100. if "`depvar'"=="numb_cosponsors" { +101. export excel using "$Output/Table5_TopPanel_Cosponsors", firstrow(var) replace +102. } +103. else if "`depvar'"=="pct_cosponsors_opposite" { +104. export excel using "$Output/Table5_BottomPanel_PctCosponsorsOpposite", firstrow(var) replace +105. } +106. +. restore +107. } + + +j = 1 k = 1 + + +rdbwselect_2014 numb_cosponsors MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11990 +----------------------+---------------------- NN matches = 3 + Number of obs | 6151 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 25.22792 46.13311 .5468506 +---------------------------------------------- +reg numb_cosponsors sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 +> borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if tag_bill==1, robust cluster(group_sponsor) + +Linear regression Number of obs = 60,670 + F(291, 4745) = . + Prob > F = . + R-squared = 0.0864 + Root MSE = 34.458 + + (Std. Err. adjusted for 4,746 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 1.395306 .6279318 2.22 0.026 .1642684 2.626344 + | + v2 | + 102 | -.7853174 .9493041 -0.83 0.408 -2.646394 1.075759 + 103 | -5.013249 1.146955 -4.37 0.000 -7.261813 -2.764685 + 104 | -5.112092 1.24155 -4.12 0.000 -7.546107 -2.678077 + 105 | -2.011756 1.213985 -1.66 0.098 -4.391729 .3682172 + 106 | -.6585097 1.262754 -0.52 0.602 -3.134093 1.817074 + 107 | -.7558473 1.233383 -0.61 0.540 -3.173851 1.662156 + 108 | 2.594928 3.154139 0.82 0.411 -3.588647 8.778504 + 109 | 1.955625 3.112755 0.63 0.530 -4.146818 8.058069 + 110 | 2.53595 3.09443 0.82 0.413 -3.530569 8.602469 + 111 | .1341812 3.131089 0.04 0.966 -6.004206 6.272568 + | + minor | + 101 | -1.442328 4.902292 -0.29 0.769 -11.0531 8.16844 + 103 | -3.30346 5.216858 -0.63 0.527 -13.53092 6.924001 + 104 | 1.103687 3.612888 0.31 0.760 -5.97925 8.186623 + 105 | 9.899925 5.983812 1.65 0.098 -1.831122 21.63097 + 107 | 7.190918 3.007307 2.39 0.017 1.295202 13.08663 + 108 | 4.287243 5.105895 0.84 0.401 -5.722681 14.29717 + 110 | 3.968397 9.895735 0.40 0.688 -15.43184 23.36863 + 200 | 12.16333 3.861761 3.15 0.002 4.592484 19.73417 + 201 | 6.475196 5.393389 1.20 0.230 -4.098349 17.04874 + 202 | 30.23841 6.058673 4.99 0.000 18.3606 42.11622 + 204 | 12.15799 6.319509 1.92 0.054 -.2311808 24.54716 + 205 | 54.72619 17.42308 3.14 0.002 20.56886 88.88352 + 206 | 11.23606 4.41361 2.55 0.011 2.583336 19.88878 + 207 | 24.48015 4.411092 5.55 0.000 15.83237 33.12794 + 208 | 4.593287 3.306083 1.39 0.165 -1.888171 11.07474 + 209 | 15.11874 12.32892 1.23 0.220 -9.051667 39.28915 + 299 | 54.72462 13.79956 3.97 0.000 27.67108 81.77817 + 300 | 8.235181 4.031422 2.04 0.041 .331723 16.13864 + 301 | 6.568248 3.33824 1.97 0.049 .0237493 13.11275 + 302 | 10.79703 3.183995 3.39 0.001 4.554921 17.03914 + 321 | 7.507329 3.41266 2.20 0.028 .8169317 14.19773 + 322 | 1.599455 3.160132 0.51 0.613 -4.595871 7.794782 + 323 | 14.97311 3.933685 3.81 0.000 7.261263 22.68496 + 324 | 1.858318 3.577968 0.52 0.604 -5.15616 8.872795 + 325 | 6.900094 3.33646 2.07 0.039 .3590835 13.4411 + 331 | 22.32043 3.850637 5.80 0.000 14.77139 29.86946 + 332 | 13.42057 3.317526 4.05 0.000 6.916679 19.92446 + 333 | 16.88175 4.565836 3.70 0.000 7.930597 25.83291 + 334 | 14.01855 3.456696 4.06 0.000 7.241825 20.79528 + 335 | 8.710775 3.753534 2.32 0.020 1.352107 16.06944 + 336 | 19.61682 4.297277 4.56 0.000 11.19216 28.04148 + 341 | 9.217247 3.843726 2.40 0.017 1.68176 16.75273 + 342 | 9.43394 6.720319 1.40 0.160 -3.741003 22.60888 + 343 | 3.546804 3.799773 0.93 0.351 -3.902515 10.99612 + 344 | 8.181619 5.207064 1.57 0.116 -2.026643 18.38988 + 398 | 23.19802 3.753883 6.18 0.000 15.83867 30.55737 + 399 | 9.443212 5.770431 1.64 0.102 -1.869511 20.75593 + 400 | 2.001744 4.023046 0.50 0.619 -5.885292 9.888781 + 401 | .8860891 3.423631 0.26 0.796 -5.825817 7.597995 + 402 | 1.650732 3.118315 0.53 0.597 -4.462612 7.764076 + 403 | 5.04562 3.572295 1.41 0.158 -1.957735 12.04898 + 404 | 5.37369 4.478822 1.20 0.230 -3.406879 14.15426 + 405 | 25.08011 7.040018 3.56 0.000 11.27841 38.88182 + 498 | 14.36671 7.89523 1.82 0.069 -1.111608 29.84502 + 499 | 13.1698 8.032233 1.64 0.101 -2.577107 28.9167 + 500 | 2.905625 4.399721 0.66 0.509 -5.719869 11.53112 + 501 | 6.570315 3.586896 1.83 0.067 -.4616654 13.6023 + 502 | 6.137323 3.683043 1.67 0.096 -1.08315 13.3578 + 503 | 7.704175 3.053468 2.52 0.012 1.71796 13.69039 + 504 | 24.64491 4.880918 5.05 0.000 15.07605 34.21378 + 505 | 10.88972 3.866296 2.82 0.005 3.309984 18.46945 + 506 | 14.26885 4.683828 3.05 0.002 5.086375 23.45133 + 508 | 5.028653 3.506413 1.43 0.152 -1.845544 11.90285 + 529 | 10.86079 5.594211 1.94 0.052 -.1064602 21.82804 + 530 | 4.753967 3.043783 1.56 0.118 -1.213259 10.72119 + 599 | 9.138846 6.123382 1.49 0.136 -2.865825 21.14352 + 600 | 8.165669 3.631005 2.25 0.025 1.047215 15.28412 + 601 | 7.357591 3.022125 2.43 0.015 1.432824 13.28236 + 602 | 9.528 3.126726 3.05 0.002 3.398166 15.65783 + 603 | 7.599922 3.622676 2.10 0.036 .4977963 14.70205 + 604 | 1.155698 4.332487 0.27 0.790 -7.337986 9.649383 + 606 | 10.41867 4.651315 2.24 0.025 1.299933 19.53741 + 607 | 8.076086 3.423923 2.36 0.018 1.363609 14.78856 + 609 | 7.152042 4.627324 1.55 0.122 -1.91966 16.22375 + 698 | -3.498845 3.508449 -1.00 0.319 -10.37703 3.379344 + 699 | 6.49365 4.278386 1.52 0.129 -1.893973 14.88127 + 700 | 2.786551 3.266533 0.85 0.394 -3.61737 9.190471 + 701 | 4.175187 3.448363 1.21 0.226 -2.585205 10.93558 + 703 | .709477 3.174664 0.22 0.823 -5.514339 6.933293 + 704 | 3.549104 3.356046 1.06 0.290 -3.030305 10.12851 + 705 | 5.791327 3.506281 1.65 0.099 -1.082611 12.66527 + 707 | 17.72789 4.917356 3.61 0.000 8.087587 27.36819 + 708 | 6.187614 4.272869 1.45 0.148 -2.189193 14.56442 + 709 | 12.47906 3.204457 3.89 0.000 6.196833 18.76128 + 710 | 4.046302 3.18355 1.27 0.204 -2.194934 10.28754 + 711 | 6.317324 3.592032 1.76 0.079 -.7247257 13.35937 + 798 | 4.159615 4.166014 1.00 0.318 -4.007706 12.32694 + 799 | .4745711 4.576775 0.10 0.917 -8.498032 9.447174 + 800 | -2.940858 3.202076 -0.92 0.358 -9.218414 3.336698 + 801 | -2.520177 3.62981 -0.69 0.488 -9.636289 4.595935 + 802 | -2.500439 3.168016 -0.79 0.430 -8.71122 3.710343 + 803 | 1.97572 3.061886 0.65 0.519 -4.026999 7.978438 + 805 | -1.31709 3.301039 -0.40 0.690 -7.788659 5.154478 + 806 | 3.207493 3.194331 1.00 0.315 -3.054879 9.469864 + 807 | 1.624438 3.328984 0.49 0.626 -4.901916 8.150791 + 898 | 1.772301 4.480611 0.40 0.692 -7.011777 10.55638 + 899 | -2.723026 4.223328 -0.64 0.519 -11.00271 5.556657 + 1000 | .0895485 4.060935 0.02 0.982 -7.871769 8.050866 + 1001 | -.9734607 3.191322 -0.31 0.760 -7.229932 5.283011 + 1002 | 2.246692 3.345418 0.67 0.502 -4.311881 8.805264 + 1003 | 3.439162 3.17409 1.08 0.279 -2.783528 9.661852 + 1005 | 7.284711 4.369428 1.67 0.096 -1.281396 15.85082 + 1006 | 6.460621 3.608761 1.79 0.073 -.614225 13.53547 + 1007 | .540727 3.171873 0.17 0.865 -5.677617 6.759071 + 1010 | .1462717 3.795141 0.04 0.969 -7.293966 7.586509 + 1098 | -8.458768 3.460439 -2.44 0.015 -15.24283 -1.674702 + 1099 | 1.456053 4.867771 0.30 0.765 -8.087037 10.99914 + 1200 | 9.871407 5.131769 1.92 0.054 -.1892404 19.93206 + 1201 | 3.398325 3.53281 0.96 0.336 -3.527621 10.32427 + 1202 | .903384 3.820937 0.24 0.813 -6.587426 8.394194 + 1203 | 1.648227 3.199235 0.52 0.606 -4.623758 7.920212 + 1204 | 1.694471 3.187319 0.53 0.595 -4.554154 7.943096 + 1205 | 4.004635 3.512075 1.14 0.254 -2.880662 10.88993 + 1206 | 1.811401 3.931872 0.46 0.645 -5.896893 9.519696 + 1207 | 5.568356 3.331975 1.67 0.095 -.9638608 12.10057 + 1208 | 11.4437 3.328151 3.44 0.001 4.918981 17.96842 + 1209 | 11.96019 3.263897 3.66 0.000 5.56144 18.35895 + 1210 | 6.655335 3.491395 1.91 0.057 -.1894198 13.50009 + 1211 | 7.599446 4.074569 1.87 0.062 -.3885994 15.58749 + 1299 | 10.35479 7.869494 1.32 0.188 -5.073069 25.78265 + 1300 | 12.28093 5.080979 2.42 0.016 2.319851 22.24201 + 1301 | 10.34657 3.811228 2.71 0.007 2.874797 17.81835 + 1302 | -1.938686 3.162267 -0.61 0.540 -8.138197 4.260824 + 1303 | 6.777264 3.270614 2.07 0.038 .3653422 13.18918 + 1304 | 14.44695 4.267963 3.38 0.001 6.079763 22.81414 + 1305 | 13.92179 4.928936 2.82 0.005 4.258784 23.58479 + 1399 | 8.522045 9.41518 0.91 0.365 -9.936078 26.98017 + 1400 | 5.267014 3.666466 1.44 0.151 -1.920961 12.45499 + 1401 | 8.435001 3.74695 2.25 0.024 1.08924 15.78076 + 1403 | 7.515033 4.548439 1.65 0.099 -1.402019 16.43209 + 1404 | 3.392043 5.25224 0.65 0.518 -6.904785 13.68887 + 1405 | -.5012419 3.258152 -0.15 0.878 -6.888733 5.886249 + 1406 | 8.779997 4.000194 2.19 0.028 .9377606 16.62223 + 1407 | 4.044742 3.500818 1.16 0.248 -2.818486 10.90797 + 1408 | 3.44868 4.388656 0.79 0.432 -5.155123 12.05248 + 1409 | 15.36212 4.826787 3.18 0.001 5.899382 24.82487 + 1410 | 5.13467 3.670391 1.40 0.162 -2.060999 12.33034 + 1499 | -.2374341 3.861475 -0.06 0.951 -7.807717 7.332849 + 1500 | 5.110374 5.179056 0.99 0.324 -5.042978 15.26373 + 1501 | 4.827651 3.233385 1.49 0.135 -1.511284 11.16659 + 1502 | 3.12879 3.344302 0.94 0.350 -3.427595 9.685174 + 1504 | 10.17916 3.889071 2.62 0.009 2.55478 17.80355 + 1505 | 3.667061 3.339622 1.10 0.272 -2.880148 10.21427 + 1507 | 1.796061 3.785467 0.47 0.635 -5.625211 9.217332 + 1520 | 3.088948 3.667863 0.84 0.400 -4.101766 10.27966 + 1521 | 4.239091 3.029812 1.40 0.162 -1.700747 10.17893 + 1522 | .6605784 3.384328 0.20 0.845 -5.974274 7.295431 + 1523 | 1.588769 3.013031 0.53 0.598 -4.31817 7.495708 + 1524 | 22.85443 11.56073 1.98 0.048 .1900422 45.51882 + 1525 | 6.914132 3.292128 2.10 0.036 .4600332 13.36823 + 1526 | 4.261933 3.831196 1.11 0.266 -3.248989 11.77286 + 1599 | 12.79396 5.146061 2.49 0.013 2.70529 22.88262 + 1600 | -5.970547 3.361804 -1.78 0.076 -12.56124 .6201487 + 1602 | 13.07364 7.186468 1.82 0.069 -1.015173 27.16245 + 1603 | -7.00603 4.743302 -1.48 0.140 -16.3051 2.293042 + 1604 | -1.8053 4.378899 -0.41 0.680 -10.38997 6.779374 + 1605 | 6.090713 4.325317 1.41 0.159 -2.388916 14.57034 + 1606 | 3.791402 4.828233 0.79 0.432 -5.674175 13.25698 + 1608 | 11.39524 3.36678 3.38 0.001 4.794789 17.99569 + 1609 | 11.92218 3.368027 3.54 0.000 5.319285 18.52508 + 1610 | 3.427155 4.660329 0.74 0.462 -5.709252 12.56356 + 1611 | -5.303799 3.373386 -1.57 0.116 -11.9172 1.309602 + 1612 | 5.474136 3.60263 1.52 0.129 -1.588692 12.53696 + 1614 | -2.223421 3.858741 -0.58 0.565 -9.788344 5.341503 + 1615 | .7971157 3.324656 0.24 0.811 -5.720752 7.314983 + 1616 | -5.125546 3.103587 -1.65 0.099 -11.21002 .9589254 + 1617 | -2.955556 3.755804 -0.79 0.431 -10.31867 4.407563 + 1619 | 4.011118 4.438646 0.90 0.366 -4.690688 12.71292 + 1620 | -2.213512 4.171187 -0.53 0.596 -10.39097 5.963949 + 1698 | -8.705523 3.455884 -2.52 0.012 -15.48066 -1.930386 + 1699 | 19.39513 5.316613 3.65 0.000 8.972103 29.81816 + 1700 | 4.491942 4.809767 0.93 0.350 -4.937434 13.92132 + 1701 | -1.601966 3.326869 -0.48 0.630 -8.124173 4.920241 + 1704 | -.0985339 3.727563 -0.03 0.979 -7.406287 7.209219 + 1705 | -.9542437 4.867645 -0.20 0.845 -10.49709 8.5886 + 1706 | 4.300523 3.511056 1.22 0.221 -2.582776 11.18382 + 1707 | 8.666053 3.591768 2.41 0.016 1.62452 15.70759 + 1708 | .3623015 3.399418 0.11 0.915 -6.302136 7.026739 + 1709 | 8.222155 3.901096 2.11 0.035 .5741968 15.87011 + 1798 | 10.01971 4.805707 2.08 0.037 .5982957 19.44113 + 1799 | 1.853968 5.958441 0.31 0.756 -9.827342 13.53528 + 1800 | -.6177164 3.509093 -0.18 0.860 -7.497167 6.261735 + 1802 | 2.580207 3.228311 0.80 0.424 -3.748781 8.909194 + 1803 | 2.579869 3.686164 0.70 0.484 -4.646723 9.80646 + 1804 | -.6998331 3.40183 -0.21 0.837 -7.368999 5.969333 + 1806 | .6250838 3.551261 0.18 0.860 -6.337036 7.587204 + 1807 | -8.347046 2.906623 -2.87 0.004 -14.04538 -2.648717 + 1808 | 10.84852 8.371239 1.30 0.195 -5.562992 27.26004 + 1899 | 19.96799 14.06924 1.42 0.156 -7.614255 47.55024 + 1900 | -1.172975 3.619739 -0.32 0.746 -8.269345 5.923394 + 1901 | 8.81609 3.54372 2.49 0.013 1.868755 15.76343 + 1902 | 8.595711 4.465299 1.93 0.054 -.1583471 17.34977 + 1905 | 23.25211 6.100596 3.81 0.000 11.29212 35.21211 + 1906 | 5.038155 3.593113 1.40 0.161 -2.006014 12.08232 + 1907 | 2.579568 4.412312 0.58 0.559 -6.07061 11.22975 + 1908 | 1.506271 5.29675 0.28 0.776 -8.877817 11.89036 + 1909 | -.7012767 4.356163 -0.16 0.872 -9.241378 7.838825 + 1910 | 5.428818 5.178718 1.05 0.295 -4.723873 15.58151 + 1911 | 12.52796 6.976889 1.80 0.073 -1.149979 26.2059 + 1912 | -.1723044 12.91294 -0.01 0.989 -25.48765 25.14305 + 1914 | 9.579885 4.208964 2.28 0.023 1.328362 17.83141 + 1915 | -9.05824 3.655179 -2.48 0.013 -16.22409 -1.892393 + 1919 | .5236066 3.96665 0.13 0.895 -7.252868 8.300081 + 1920 | 19.99171 5.649372 3.54 0.000 8.916316 31.0671 + 1925 | 15.86346 4.144911 3.83 0.000 7.737511 23.98941 + 1926 | 9.723284 3.928812 2.47 0.013 2.02099 17.42558 + 1927 | 1.971671 3.561226 0.55 0.580 -5.009984 8.953326 + 1929 | 5.077856 4.132733 1.23 0.219 -3.024218 13.17993 + 1999 | 1.948093 8.16884 0.24 0.812 -14.06662 17.96281 + 2000 | -1.769785 3.273679 -0.54 0.589 -8.187715 4.648144 + 2001 | 3.833083 3.599051 1.07 0.287 -3.222728 10.88889 + 2002 | 4.413747 3.310193 1.33 0.182 -2.075767 10.90326 + 2003 | 19.5395 4.89107 3.99 0.000 9.95073 29.12826 + 2004 | 7.524432 3.2539 2.31 0.021 1.145279 13.90359 + 2005 | .893869 5.063529 0.18 0.860 -9.032997 10.82074 + 2006 | 79.31952 6.371312 12.45 0.000 66.82879 91.81025 + 2007 | 2.780133 3.701823 0.75 0.453 -4.477159 10.03742 + 2008 | 4.169399 2.981606 1.40 0.162 -1.675933 10.01473 + 2009 | 6.749054 5.738331 1.18 0.240 -4.500737 17.99884 + 2010 | -13.96823 3.113418 -4.49 0.000 -20.07197 -7.864481 + 2011 | 2.18951 3.129196 0.70 0.484 -3.945167 8.324187 + 2012 | 1.949573 3.240572 0.60 0.547 -4.403451 8.302597 + 2013 | 2.905536 3.611277 0.80 0.421 -4.174244 9.985315 + 2014 | 1.646236 4.06543 0.40 0.686 -6.323894 9.616366 + 2015 | .1724886 3.760058 0.05 0.963 -7.19897 7.543947 + 2030 | 20.51457 6.934655 2.96 0.003 6.919429 34.10971 + 2099 | 16.01642 6.520832 2.46 0.014 3.232568 28.80028 + 2100 | -2.367328 3.64637 -0.65 0.516 -9.515904 4.781249 + 2101 | 3.251202 3.01871 1.08 0.282 -2.666869 9.169274 + 2102 | -.3896995 3.066022 -0.13 0.899 -6.400526 5.621127 + 2103 | .9594883 2.979039 0.32 0.747 -4.88081 6.799786 + 2104 | -3.872033 2.938948 -1.32 0.188 -9.633735 1.889668 + 2105 | 10.69497 6.318799 1.69 0.091 -1.692809 23.08275 + 2199 | -5.493438 3.810334 -1.44 0.149 -12.96346 1.976584 + 9999 | 29.32207 9.41128 3.12 0.002 10.87159 47.77254 + | + house_administration | 2.276146 1.474389 1.54 0.123 -.6143401 5.166632 + house_agriculture | 2.724481 .8820702 3.09 0.002 .9952139 4.453748 + house_appropriations | 2.033842 4.179482 0.49 0.627 -6.159883 10.22757 + house_armedservices | 4.548511 1.153258 3.94 0.000 2.287591 6.80943 + house_budget | 3.088619 2.386025 1.29 0.196 -1.589097 7.766335 + house_dc | -5.35191 2.929057 -1.83 0.068 -11.09422 .3904007 + house_educlabor | 3.458238 .7467401 4.63 0.000 1.994281 4.922195 + house_energycommerce | 4.643028 .5655713 8.21 0.000 3.534245 5.75181 + house_foreignaffairs | 4.27322 1.185272 3.61 0.000 1.949536 6.596904 + house_governmentop | 4.318799 1.934405 2.23 0.026 .526468 8.11113 + house_intelligence | 6.718236 4.611462 1.46 0.145 -2.322371 15.75884 + house_interior | -.7545362 1.073019 -0.70 0.482 -2.858152 1.34908 + house_judiciary | 3.005838 .6003189 5.01 0.000 1.828935 4.182742 + house_mmf | .9782785 1.298855 0.75 0.451 -1.568079 3.524636 + house_pocs | 4.005312 1.802274 2.22 0.026 .472019 7.538604 + house_pwt | 2.528552 1.052675 2.40 0.016 .4648205 4.592283 + house_rules | 2.96476 1.430353 2.07 0.038 .1606041 5.768916 + house_sst | 5.094441 1.952464 2.61 0.009 1.266705 8.922176 + house_smallbusi | -4.344426 1.148852 -3.78 0.000 -6.596709 -2.092143 + house_soc | -1.7444 7.448187 -0.23 0.815 -16.3463 12.8575 + house_veterans | 1.554918 1.259107 1.23 0.217 -.9135172 4.023353 + house_waysandmeans | 2.977663 .5450242 5.46 0.000 1.909163 4.046164 +house_naturalresources | -.5353218 .9047562 -0.59 0.554 -2.309064 1.23842 + house_bfs | 1.245061 .8394054 1.48 0.138 -.4005636 2.890685 + house_eeo | -.2480719 1.936384 -0.13 0.898 -4.044282 3.548139 + house_govreform | 3.552048 .9486783 3.74 0.000 1.692198 5.411897 + house_ir | 3.834682 1.245585 3.08 0.002 1.392757 6.276608 + house_natsecur | 8.452608 2.733766 3.09 0.002 3.093157 13.81206 + house_oversight | .9699271 1.253897 0.77 0.439 -1.488292 3.428147 + house_resources | -1.500485 .8069899 -1.86 0.063 -3.08256 .0815897 + house_science | -1.23589 1.117685 -1.11 0.269 -3.427072 .9552912 + house_transp | 1.317425 .7506957 1.75 0.079 -.1542873 2.789137 + house_homeland | -1.462832 1.200266 -1.22 0.223 -3.815911 .8902467 + sponsor_democrat | .5703277 .4422502 1.29 0.197 -.2966879 1.437343 + sponsor_rookie | -3.545729 .546499 -6.49 0.000 -4.617121 -2.474337 + sponsor_tenure_run | .1136465 .091401 1.24 0.214 -.0655419 .2928348 + sponsor_age | .0109314 .0259252 0.42 0.673 -.0398939 .0617568 + leader | 1.433659 .6225628 2.30 0.021 .2131468 2.654171 + ivycoll | -.7657539 .6134528 -1.25 0.212 -1.968406 .4368984 + black | -.1491284 1.168508 -0.13 0.898 -2.439947 2.14169 + occ0 | 2.081001 .6673659 3.12 0.002 .772654 3.389348 + occ1 | 1.261529 .7325041 1.72 0.085 -.1745188 2.697577 + occ2 | .4818167 .5759181 0.84 0.403 -.6472499 1.610883 + occ3 | -1.375481 .7692321 -1.79 0.074 -2.883533 .1325704 + occ4 | .6162333 .6207332 0.99 0.321 -.6006918 1.833158 + borninstate | 1.26348 .3920779 3.22 0.001 .4948253 2.032135 + tot_bills | -.1604826 .0247525 -6.48 0.000 -.2090089 -.1119562 + NE | -2.318981 .6242807 -3.71 0.000 -3.542861 -1.095101 + MW | -.9289971 .6173572 -1.50 0.132 -2.139304 .2813095 + WE | .1452284 .66061 0.22 0.826 -1.149874 1.440331 + pct_black | .4841226 2.431934 0.20 0.842 -4.283596 5.251841 + pct_urban | .310373 1.340135 0.23 0.817 -2.316914 2.93766 + pct_for_born | -.8923753 3.188493 -0.28 0.780 -7.143301 5.35855 + pct_age_over65 | 17.40924 5.691464 3.06 0.002 6.251326 28.56715 + lninc | 5.917472 1.256562 4.71 0.000 3.454028 8.380916 + lnpden | .1021407 .1946604 0.52 0.600 -.279484 .4837653 + _cons | -54.10896 12.62031 -4.29 0.000 -78.85062 -29.3673 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,746 1 0 1 1 + + +j = 1 k = 2 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6187 +----------------------+---------------------- NN matches = 3 + Number of obs | 2193 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 29.70309 50.99673 .5824509 +---------------------------------------------- +reg numb_cosponsors sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 +> borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if sponsor_party==100 & tag_bill==1, robust cluster(group_sponsor) +note: sponsor_democrat omitted because of collinearity + +Linear regression Number of obs = 32,847 + F(290, 2491) = . + Prob > F = . + R-squared = 0.0974 + Root MSE = 34.251 + + (Std. Err. adjusted for 2,492 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 1.171604 .7458899 1.57 0.116 -.2910245 2.634232 + | + v2 | + 102 | -1.218204 1.043515 -1.17 0.243 -3.264451 .8280431 + 103 | -6.429127 1.513081 -4.25 0.000 -9.396152 -3.462101 + 104 | -10.86546 1.631674 -6.66 0.000 -14.06504 -7.665885 + 105 | -4.918294 1.595134 -3.08 0.002 -8.04622 -1.790369 + 106 | -3.230269 1.648025 -1.96 0.050 -6.461908 .0013704 + 107 | -3.571099 1.602351 -2.23 0.026 -6.713176 -.429021 + 108 | -5.84158 4.548361 -1.28 0.199 -14.76054 3.077378 + 109 | -7.746584 4.521963 -1.71 0.087 -16.61378 1.120608 + 110 | -2.290333 4.490478 -0.51 0.610 -11.09579 6.515121 + 111 | -5.677189 4.500581 -1.26 0.207 -14.50245 3.148076 + | + minor | + 101 | -3.097143 5.370961 -0.58 0.564 -13.62915 7.434865 + 103 | -9.401784 5.8524 -1.61 0.108 -20.87785 2.074286 + 104 | -2.989665 5.39108 -0.55 0.579 -13.56112 7.581795 + 105 | 2.192023 5.239473 0.42 0.676 -8.082149 12.46619 + 107 | 1.863167 4.858833 0.38 0.701 -7.6646 11.39093 + 108 | 6.906775 7.363663 0.94 0.348 -7.532756 21.34631 + 110 | -6.74636 8.750057 -0.77 0.441 -23.90449 10.41177 + 200 | 13.15003 5.851711 2.25 0.025 1.675313 24.62475 + 201 | 5.002577 6.739809 0.74 0.458 -8.213628 18.21878 + 202 | 31.62334 7.642985 4.14 0.000 16.63608 46.61059 + 204 | 18.39097 11.35501 1.62 0.105 -3.875266 40.6572 + 205 | 75.2129 26.17244 2.87 0.004 23.89092 126.5349 + 206 | 3.495839 5.850158 0.60 0.550 -7.975834 14.96751 + 207 | 24.12222 7.218469 3.34 0.001 9.967408 38.27704 + 208 | .9263031 5.12178 0.18 0.856 -9.117081 10.96969 + 209 | 22.21927 13.61976 1.63 0.103 -4.48794 48.92648 + 299 | 12.21226 11.49875 1.06 0.288 -10.33583 34.76035 + 300 | 8.386296 5.906407 1.42 0.156 -3.195676 19.96827 + 301 | 4.981975 5.122275 0.97 0.331 -5.062381 15.02633 + 302 | 9.861159 5.060893 1.95 0.051 -.0628308 19.78515 + 321 | 3.180919 5.10536 0.62 0.533 -6.830267 13.19211 + 322 | -1.203647 4.919468 -0.24 0.807 -10.85031 8.443021 + 323 | 15.94669 5.760468 2.77 0.006 4.650894 27.24249 + 324 | -1.20723 5.062179 -0.24 0.812 -11.13374 8.719282 + 325 | 6.167818 5.158068 1.20 0.232 -3.946724 16.28236 + 331 | 20.58607 5.610511 3.67 0.000 9.584327 31.58782 + 332 | 13.18499 5.117108 2.58 0.010 3.15077 23.21922 + 333 | 18.9595 6.260221 3.03 0.002 6.683725 31.23527 + 334 | 12.36952 5.211368 2.37 0.018 2.150461 22.58858 + 335 | 7.671964 5.456058 1.41 0.160 -3.026912 18.37084 + 336 | 17.60651 6.036152 2.92 0.004 5.770123 29.4429 + 341 | 7.85256 5.487471 1.43 0.153 -2.907913 18.61303 + 342 | 8.716822 8.369896 1.04 0.298 -7.695847 25.12949 + 343 | 6.168182 5.974353 1.03 0.302 -5.547027 17.88339 + 344 | 2.242256 6.203013 0.36 0.718 -9.921337 14.40585 + 398 | 24.08623 5.695982 4.23 0.000 12.91689 35.25558 + 399 | 10.35535 7.528385 1.38 0.169 -4.407191 25.11788 + 400 | 2.867165 6.129389 0.47 0.640 -9.152056 14.88639 + 401 | -.0541372 5.520985 -0.01 0.992 -10.88033 10.77205 + 402 | -.9518113 4.90803 -0.19 0.846 -10.57605 8.672427 + 403 | 1.139142 5.011127 0.23 0.820 -8.687261 10.96555 + 404 | -.7825388 5.494117 -0.14 0.887 -11.55605 9.990968 + 405 | 31.74329 9.885486 3.21 0.001 12.35868 51.12791 + 498 | 21.29874 13.11972 1.62 0.105 -4.427931 47.02542 + 499 | 2.954682 9.25573 0.32 0.750 -15.19503 21.1044 + 500 | 2.897264 7.192838 0.40 0.687 -11.20729 17.00182 + 501 | 2.190749 5.3084 0.41 0.680 -8.218581 12.60008 + 502 | 7.213086 5.712268 1.26 0.207 -3.988197 18.41437 + 503 | 6.492231 4.714207 1.38 0.169 -2.751937 15.7364 + 504 | 27.56054 7.603661 3.62 0.000 12.65039 42.47068 + 505 | 14.217 6.355513 2.24 0.025 1.754372 26.67964 + 506 | 14.1825 6.410208 2.21 0.027 1.612611 26.75238 + 508 | 5.402943 5.378171 1.00 0.315 -5.143204 15.94909 + 529 | 4.616877 7.758073 0.60 0.552 -10.59606 19.82981 + 530 | 3.659247 4.857409 0.75 0.451 -5.865728 13.18422 + 599 | 2.968232 7.011486 0.42 0.672 -10.78071 16.71717 + 600 | 3.552335 5.256625 0.68 0.499 -6.75547 13.86014 + 601 | 5.632891 4.793321 1.18 0.240 -3.766412 15.03219 + 602 | 8.484104 4.884969 1.74 0.083 -1.094913 18.06312 + 603 | 4.686013 5.300722 0.88 0.377 -5.708261 15.08029 + 604 | -.0105746 6.714095 -0.00 0.999 -13.17636 13.15521 + 606 | 9.4702 7.398959 1.28 0.201 -5.038542 23.97894 + 607 | 3.135104 4.999847 0.63 0.531 -6.66918 12.93939 + 609 | 4.478207 7.216342 0.62 0.535 -9.672439 18.62885 + 698 | -8.314606 4.949971 -1.68 0.093 -18.02109 1.391876 + 699 | 7.33892 6.194417 1.18 0.236 -4.807816 19.48566 + 700 | 4.651489 5.125604 0.91 0.364 -5.399395 14.70237 + 701 | 5.23328 5.429012 0.96 0.335 -5.412561 15.87912 + 703 | .7533129 5.007668 0.15 0.880 -9.066307 10.57293 + 704 | 4.256163 5.243746 0.81 0.417 -6.026387 14.53871 + 705 | 8.502511 5.684442 1.50 0.135 -2.644207 19.64923 + 707 | 18.45937 6.578002 2.81 0.005 5.560453 31.35828 + 708 | 3.516181 5.480347 0.64 0.521 -7.230323 14.26269 + 709 | 16.62264 5.118591 3.25 0.001 6.585507 26.65977 + 710 | 5.201696 5.167906 1.01 0.314 -4.932138 15.33553 + 711 | 11.47164 6.409415 1.79 0.074 -1.096688 24.03997 + 798 | 1.51911 5.67791 0.27 0.789 -9.6148 12.65302 + 799 | -1.802704 7.583358 -0.24 0.812 -16.67304 13.06763 + 800 | -1.516948 5.105391 -0.30 0.766 -11.5282 8.494299 + 801 | -1.320236 5.50949 -0.24 0.811 -12.12389 9.483415 + 802 | -1.608132 5.087127 -0.32 0.752 -11.58356 8.3673 + 803 | -1.234384 4.821342 -0.26 0.798 -10.68863 8.219866 + 805 | -1.091232 5.182581 -0.21 0.833 -11.25384 9.071377 + 806 | .9481465 4.923181 0.19 0.847 -8.705802 10.6021 + 807 | 1.186282 5.169321 0.23 0.819 -8.950326 11.32289 + 898 | 8.44374 7.337242 1.15 0.250 -5.94398 22.83146 + 899 | -1.782533 7.68742 -0.23 0.817 -16.85692 13.29186 + 1000 | -1.486936 5.373557 -0.28 0.782 -12.02403 9.050162 + 1001 | -2.045311 5.083784 -0.40 0.687 -12.01419 7.923567 + 1002 | .2140561 5.151336 0.04 0.967 -9.887285 10.3154 + 1003 | 2.643226 5.025803 0.53 0.599 -7.211955 12.49841 + 1005 | 7.142686 6.643162 1.08 0.282 -5.884001 20.16937 + 1006 | 4.044376 5.48723 0.74 0.461 -6.715626 14.80438 + 1007 | 1.475658 5.100182 0.29 0.772 -8.525375 11.47669 + 1010 | .7639853 5.538098 0.14 0.890 -10.09576 11.62373 + 1098 | -7.795287 5.455477 -1.43 0.153 -18.49302 2.902449 + 1099 | 1.680368 7.409408 0.23 0.821 -12.84886 16.2096 + 1200 | 10.15139 7.970177 1.27 0.203 -5.477463 25.78025 + 1201 | 3.904476 5.598568 0.70 0.486 -7.07385 14.8828 + 1202 | .7307655 5.823982 0.13 0.900 -10.68958 12.15111 + 1203 | .0816386 5.00987 0.02 0.987 -9.7423 9.905578 + 1204 | .5390557 5.118549 0.11 0.916 -9.497994 10.57611 + 1205 | .4030751 5.303036 0.08 0.939 -9.995738 10.80189 + 1206 | 2.414987 6.003917 0.40 0.688 -9.358195 14.18817 + 1207 | 4.04879 5.439561 0.74 0.457 -6.617737 14.71532 + 1208 | 7.436442 4.987864 1.49 0.136 -2.344345 17.21723 + 1209 | 6.195885 4.94668 1.25 0.210 -3.504142 15.89591 + 1210 | 3.558865 5.280937 0.67 0.500 -6.796613 13.91434 + 1211 | 6.095588 6.20012 0.98 0.326 -6.062331 18.25351 + 1299 | 14.24333 11.97028 1.19 0.234 -9.229392 37.71606 + 1300 | 12.78244 6.978845 1.83 0.067 -.9024987 26.46737 + 1301 | 8.593063 5.324609 1.61 0.107 -1.848053 19.03418 + 1302 | -2.808 4.901515 -0.57 0.567 -12.41946 6.803462 + 1303 | 6.723102 5.307173 1.27 0.205 -3.683823 17.13003 + 1304 | 9.761874 5.48858 1.78 0.075 -1.000775 20.52452 + 1305 | 3.678298 5.876415 0.63 0.531 -7.844862 15.20146 + 1399 | 20.81357 20.41105 1.02 0.308 -19.2108 60.83795 + 1400 | 3.10014 5.343724 0.58 0.562 -7.378458 13.57874 + 1401 | 4.652057 5.129374 0.91 0.365 -5.406219 14.71033 + 1403 | 8.454811 6.172456 1.37 0.171 -3.648862 20.55848 + 1404 | 7.683239 8.993682 0.85 0.393 -9.952624 25.3191 + 1405 | .1930517 5.154859 0.04 0.970 -9.915197 10.3013 + 1406 | 6.041826 5.507193 1.10 0.273 -4.757321 16.84097 + 1407 | 4.300574 5.404458 0.80 0.426 -6.297119 14.89827 + 1408 | -2.110885 5.42056 -0.39 0.697 -12.74015 8.518382 + 1409 | 18.29226 7.244925 2.52 0.012 4.085563 32.49895 + 1410 | .1455675 5.125354 0.03 0.977 -9.904825 10.19596 + 1499 | -2.372545 5.473848 -0.43 0.665 -13.10631 8.361216 + 1500 | 3.183344 7.70941 0.41 0.680 -11.93417 18.30085 + 1501 | 1.497401 4.927185 0.30 0.761 -8.164398 11.1592 + 1502 | 3.572686 5.191534 0.69 0.491 -6.607481 13.75285 + 1504 | 8.285419 5.586381 1.48 0.138 -2.669009 19.23985 + 1505 | -.4333145 5.05328 -0.09 0.932 -10.34238 9.475748 + 1507 | -4.114901 5.409531 -0.76 0.447 -14.72254 6.492739 + 1520 | -.3199441 5.182176 -0.06 0.951 -10.48176 9.841872 + 1521 | 2.362857 4.829767 0.49 0.625 -7.107913 11.83363 + 1522 | -2.659583 5.017646 -0.53 0.596 -12.49877 7.179603 + 1523 | 1.093198 4.823242 0.23 0.821 -8.364779 10.55117 + 1524 | 17.41502 13.94605 1.25 0.212 -9.932016 44.76205 + 1525 | 6.715863 5.003741 1.34 0.180 -3.096057 16.52778 + 1526 | -1.534555 5.190084 -0.30 0.768 -11.71188 8.642768 + 1599 | 8.92343 6.877983 1.30 0.195 -4.563723 22.41058 + 1600 | -4.265187 5.005651 -0.85 0.394 -14.08085 5.550477 + 1602 | 10.64729 9.518853 1.12 0.263 -8.018393 29.31296 + 1603 | -12.76551 7.427909 -1.72 0.086 -27.33102 1.8 + 1604 | -8.596978 4.989079 -1.72 0.085 -18.38015 1.18619 + 1605 | 4.559749 5.995698 0.76 0.447 -7.197316 16.31681 + 1606 | 4.549519 6.981656 0.65 0.515 -9.140927 18.23997 + 1608 | 4.910654 4.92625 1.00 0.319 -4.749312 14.57062 + 1609 | 9.08058 5.246028 1.73 0.084 -1.206444 19.3676 + 1610 | 1.039862 6.037761 0.17 0.863 -10.79968 12.87941 + 1611 | -7.834507 4.901616 -1.60 0.110 -17.44617 1.777154 + 1612 | 4.04597 5.371657 0.75 0.451 -6.487403 14.57934 + 1614 | -.8046849 5.670344 -0.14 0.887 -11.92376 10.31439 + 1615 | 1.515186 5.278524 0.29 0.774 -8.835561 11.86593 + 1616 | -5.161174 4.99074 -1.03 0.301 -14.9476 4.625251 + 1617 | -7.027561 5.264886 -1.33 0.182 -17.35156 3.296444 + 1619 | -.9336744 6.190993 -0.15 0.880 -13.0737 11.20635 + 1620 | -.3958763 6.343244 -0.06 0.950 -12.83445 12.0427 + 1698 | -8.524994 5.397459 -1.58 0.114 -19.10896 2.058974 + 1699 | 27.26238 7.918389 3.44 0.001 11.73508 42.78968 + 1700 | 5.310468 6.364784 0.83 0.404 -7.170343 17.79128 + 1701 | -2.089787 5.270959 -0.40 0.692 -12.4257 8.246124 + 1704 | -2.560673 7.290186 -0.35 0.725 -16.85612 11.73477 + 1705 | 1.612304 7.522699 0.21 0.830 -13.13908 16.36369 + 1706 | 1.132406 5.179792 0.22 0.827 -9.024735 11.28955 + 1707 | 4.027478 5.111808 0.79 0.431 -5.996353 14.05131 + 1708 | 2.474225 5.698221 0.43 0.664 -8.699512 13.64796 + 1709 | -.0602017 5.249678 -0.01 0.991 -10.35438 10.23398 + 1798 | 10.84886 7.600285 1.43 0.154 -4.054665 25.75239 + 1799 | 6.239759 9.29787 0.67 0.502 -11.99259 24.47211 + 1800 | .1827205 5.609932 0.03 0.974 -10.81789 11.18333 + 1802 | 2.650086 5.233069 0.51 0.613 -7.611526 12.9117 + 1803 | 1.945483 5.398735 0.36 0.719 -8.640986 12.53195 + 1804 | -1.658095 5.317736 -0.31 0.755 -12.08573 8.769544 + 1806 | 1.561216 5.720936 0.27 0.785 -9.657064 12.7795 + 1807 | -8.560294 4.755534 -1.80 0.072 -17.8855 .7649119 + 1808 | 13.18017 13.65924 0.96 0.335 -13.60445 39.96479 + 1899 | 31.83767 22.22019 1.43 0.152 -11.73427 75.40961 + 1900 | 1.067733 5.482775 0.19 0.846 -9.683533 11.819 + 1901 | 13.56999 5.626141 2.41 0.016 2.537595 24.60238 + 1902 | 5.397797 6.302699 0.86 0.392 -6.96127 17.75686 + 1905 | 24.74981 7.935515 3.12 0.002 9.188931 40.3107 + 1906 | 5.504825 5.579138 0.99 0.324 -5.4354 16.44505 + 1907 | 6.214656 8.551647 0.73 0.467 -10.55441 22.98372 + 1908 | 1.709384 7.24307 0.24 0.813 -12.49367 15.91244 + 1909 | -2.479395 6.9585 -0.36 0.722 -16.12443 11.16565 + 1910 | -3.583316 6.131544 -0.58 0.559 -15.60676 8.440133 + 1911 | 16.50394 9.739867 1.69 0.090 -2.595129 35.60301 + 1912 | -.6681483 16.87422 -0.04 0.968 -33.7571 32.4208 + 1914 | 10.41061 6.293239 1.65 0.098 -1.929906 22.75113 + 1915 | -4.587517 5.441953 -0.84 0.399 -15.25873 6.0837 + 1919 | 3.040544 8.356071 0.36 0.716 -13.34502 19.4261 + 1920 | 13.71847 7.420413 1.85 0.065 -.8323399 28.26928 + 1925 | 15.43599 6.282625 2.46 0.014 3.116287 27.7557 + 1926 | 16.07048 7.402052 2.17 0.030 1.555667 30.58528 + 1927 | 1.014101 5.802834 0.17 0.861 -10.36477 12.39298 + 1929 | .0110084 6.020198 0.00 0.999 -11.7941 11.81612 + 1999 | 6.266196 14.84377 0.42 0.673 -22.8412 35.37359 + 2000 | -1.987831 5.106872 -0.39 0.697 -12.00198 8.02632 + 2001 | 3.336026 5.915089 0.56 0.573 -8.262971 14.93502 + 2002 | 1.14725 5.357784 0.21 0.830 -9.358918 11.65342 + 2003 | 23.8753 7.541344 3.17 0.002 9.087356 38.66325 + 2004 | 10.42921 5.221845 2.00 0.046 .1896078 20.66882 + 2005 | -4.675506 5.574844 -0.84 0.402 -15.60731 6.2563 + 2006 | 78.33703 9.18881 8.53 0.000 60.31854 96.35553 + 2007 | -.571639 5.40303 -0.11 0.916 -11.16653 10.02325 + 2008 | 3.02236 4.782521 0.63 0.527 -6.355766 12.40049 + 2009 | 10.39619 9.898486 1.05 0.294 -9.013921 29.80629 + 2010 | -17.27909 4.922623 -3.51 0.000 -26.93194 -7.626236 + 2011 | -1.662185 5.131641 -0.32 0.746 -11.7249 8.400536 + 2012 | 1.942638 5.186621 0.37 0.708 -8.227893 12.11317 + 2013 | 5.757896 5.347777 1.08 0.282 -4.72865 16.24444 + 2014 | 5.397453 7.278249 0.74 0.458 -8.874587 19.66949 + 2015 | 1.026874 5.476451 0.19 0.851 -9.71199 11.76574 + 2030 | 21.49926 8.572167 2.51 0.012 4.689958 38.30857 + 2099 | 20.4929 9.417576 2.18 0.030 2.02582 38.95998 + 2100 | -1.731568 5.63537 -0.31 0.759 -12.78206 9.318923 + 2101 | 2.29615 4.881896 0.47 0.638 -7.276843 11.86914 + 2102 | .6981279 5.092091 0.14 0.891 -9.28704 10.6833 + 2103 | 3.78414 4.884316 0.77 0.439 -5.793598 13.36188 + 2104 | -4.150732 4.799325 -0.86 0.387 -13.56181 5.260345 + 2105 | 12.5359 9.913619 1.26 0.206 -6.903883 31.97568 + 2199 | -11.2938 5.142356 -2.20 0.028 -21.37753 -1.210069 + 9999 | 27.87831 12.55596 2.22 0.026 3.257106 52.49951 + | + house_administration | 4.739399 2.341078 2.02 0.043 .1487393 9.330058 + house_agriculture | 1.694104 1.130512 1.50 0.134 -.5227367 3.910944 + house_appropriations | -5.561027 1.779449 -3.13 0.002 -9.050379 -2.071675 + house_armedservices | 4.23512 1.484783 2.85 0.004 1.323585 7.146655 + house_budget | .5397949 2.2675 0.24 0.812 -3.906583 4.986173 + house_dc | -12.73776 5.296102 -2.41 0.016 -23.12298 -2.352547 + house_educlabor | 5.134955 .9406915 5.46 0.000 3.290338 6.979573 + house_energycommerce | 3.622499 .7191509 5.04 0.000 2.212304 5.032695 + house_foreignaffairs | 4.35396 1.612319 2.70 0.007 1.192337 7.515583 + house_governmentop | 2.897418 1.994175 1.45 0.146 -1.012994 6.80783 + house_intelligence | 7.994915 6.569968 1.22 0.224 -4.888245 20.87807 + house_interior | -2.167936 1.486161 -1.46 0.145 -5.082174 .7463027 + house_judiciary | 2.854911 .804076 3.55 0.000 1.278185 4.431638 + house_mmf | -.1377319 1.789919 -0.08 0.939 -3.647615 3.372151 + house_pocs | 3.055192 2.390898 1.28 0.201 -1.63316 7.743544 + house_pwt | 1.933797 1.372464 1.41 0.159 -.7574897 4.625084 + house_rules | 3.416778 1.931305 1.77 0.077 -.3703496 7.203906 + house_sst | 4.816915 2.124797 2.27 0.023 .6503655 8.983464 + house_smallbusi | -4.028399 1.436807 -2.80 0.005 -6.845859 -1.210939 + house_soc | 2.16536 11.0114 0.20 0.844 -19.42708 23.7578 + house_veterans | 2.150174 1.70136 1.26 0.206 -1.186051 5.4864 + house_waysandmeans | 2.412837 .703097 3.43 0.001 1.034122 3.791552 +house_naturalresources | -2.212697 1.309285 -1.69 0.091 -4.780095 .3547016 + house_bfs | 1.480039 1.110646 1.33 0.183 -.6978458 3.657924 + house_eeo | -2.200233 1.81538 -1.21 0.226 -5.760041 1.359575 + house_govreform | 6.341897 1.462251 4.34 0.000 3.474544 9.209251 + house_ir | 3.370423 1.719719 1.96 0.050 -.0018032 6.74265 + house_natsecur | 9.459147 3.514254 2.69 0.007 2.567988 16.35031 + house_oversight | -3.019685 1.805764 -1.67 0.095 -6.560639 .5212686 + house_resources | .4948847 1.372155 0.36 0.718 -2.195798 3.185567 + house_science | -2.330184 1.381449 -1.69 0.092 -5.039091 .3787226 + house_transp | .1147603 .9674251 0.12 0.906 -1.78228 2.0118 + house_homeland | -2.119359 1.620689 -1.31 0.191 -5.297395 1.058677 + sponsor_democrat | 0 (omitted) + sponsor_rookie | -4.485942 .8441234 -5.31 0.000 -6.141197 -2.830686 + sponsor_tenure_run | .3114421 .0975754 3.19 0.001 .1201048 .5027793 + sponsor_age | -.032966 .0324616 -1.02 0.310 -.0966205 .0306884 + leader | 3.183807 .9070892 3.51 0.000 1.405081 4.962533 + ivycoll | -1.327439 .716547 -1.85 0.064 -2.732528 .07765 + black | -2.277714 1.321499 -1.72 0.085 -4.869063 .3136348 + occ0 | .0735883 .8789647 0.08 0.933 -1.649988 1.797165 + occ1 | .7776173 .9197094 0.85 0.398 -1.025856 2.581091 + occ2 | -1.442828 .7697924 -1.87 0.061 -2.952327 .0666707 + occ3 | -2.693008 1.037679 -2.60 0.010 -4.727811 -.6582052 + occ4 | -2.617088 1.028903 -2.54 0.011 -4.634681 -.5994936 + borninstate | 1.820669 .5105259 3.57 0.000 .8195706 2.821768 + tot_bills | -.2259842 .0167956 -13.45 0.000 -.2589191 -.1930494 + NE | -1.045507 .891432 -1.17 0.241 -2.793531 .7025167 + MW | -.1005639 .8395311 -0.12 0.905 -1.746815 1.545687 + WE | 2.390264 .9100404 2.63 0.009 .60575 4.174777 + pct_black | 6.407044 3.00462 2.13 0.033 .5152334 12.29885 + pct_urban | 2.928534 1.833994 1.60 0.110 -.6677751 6.524842 + pct_for_born | -.6931859 3.811824 -0.18 0.856 -8.167856 6.781484 + pct_age_over65 | 20.09633 8.518404 2.36 0.018 3.392444 36.80021 + lninc | 6.600237 1.555885 4.24 0.000 3.549276 9.651198 + lnpden | -.3008166 .2866151 -1.05 0.294 -.862845 .2612119 + _cons | -55.4011 15.59534 -3.55 0.000 -85.98226 -24.81994 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,492 1 0 1 1 + + +j = 1 k = 3 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 13.03771 22.75762 .5728944 +---------------------------------------------- +reg numb_cosponsors sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 +> borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if sponsor_party==200 & tag_bill==1, robust cluster(group_sponsor) +note: sponsor_democrat omitted because of collinearity + +Linear regression Number of obs = 27,671 + F(289, 2243) = . + Prob > F = . + R-squared = 0.1023 + Root MSE = 34.299 + + (Std. Err. adjusted for 2,244 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 3.149329 1.016937 3.10 0.002 1.155093 5.143564 + | + v2 | + 102 | -.366301 1.453026 -0.25 0.801 -3.215717 2.483115 + 103 | -2.694304 1.898106 -1.42 0.156 -6.416531 1.027923 + 104 | -.54476 1.89863 -0.29 0.774 -4.268015 3.178495 + 105 | .7473155 1.907994 0.39 0.695 -2.994304 4.488935 + 106 | 1.649048 1.950248 0.85 0.398 -2.175432 5.473528 + 107 | 1.825943 1.898643 0.96 0.336 -1.897338 5.549225 + 108 | .7360685 4.462373 0.16 0.869 -8.014745 9.486882 + 109 | 1.108289 4.403028 0.25 0.801 -7.526146 9.742724 + 110 | -3.331971 4.407453 -0.76 0.450 -11.97508 5.311142 + 111 | -4.454701 4.485186 -0.99 0.321 -13.25025 4.340848 + | + minor | + 101 | -5.231199 4.258446 -1.23 0.219 -13.58211 3.119708 + 103 | 6.649528 10.94396 0.61 0.544 -14.81182 28.11087 + 104 | 3.540276 4.681571 0.76 0.450 -5.640389 12.72094 + 105 | 11.56173 6.440166 1.80 0.073 -1.067579 24.19104 + 107 | 10.363 3.623101 2.86 0.004 3.258016 17.46798 + 108 | -.5834882 4.673814 -0.12 0.901 -9.748941 8.581965 + 110 | 10.72439 17.03352 0.63 0.529 -22.67872 44.1275 + 200 | 8.614763 4.870247 1.77 0.077 -.9358985 18.16542 + 201 | 1.359159 7.182085 0.19 0.850 -12.72507 15.44339 + 202 | 19.09888 9.91387 1.93 0.054 -.3424396 38.5402 + 204 | 6.861669 4.719675 1.45 0.146 -2.393718 16.11706 + 205 | 27.9254 17.91702 1.56 0.119 -7.210283 63.06108 + 206 | 21.94452 7.21354 3.04 0.002 7.798603 36.09043 + 207 | 24.89958 5.469596 4.55 0.000 14.17358 35.62558 + 208 | 7.228386 4.279353 1.69 0.091 -1.16352 15.62029 + 209 | -8.857844 3.714367 -2.38 0.017 -16.1418 -1.573888 + 299 | 71.8403 17.61486 4.08 0.000 37.29717 106.3834 + 300 | 7.14324 5.74241 1.24 0.214 -4.117753 18.40423 + 301 | 8.702174 4.535893 1.92 0.055 -.1928117 17.59716 + 302 | 11.98014 3.960244 3.03 0.003 4.214018 19.74627 + 321 | 12.58257 4.866652 2.59 0.010 3.038955 22.12618 + 322 | 4.497609 4.17944 1.08 0.282 -3.698366 12.69358 + 323 | 13.1105 5.449663 2.41 0.016 2.42359 23.79741 + 324 | 4.629579 5.115235 0.91 0.366 -5.401509 14.66067 + 325 | 6.598429 4.373485 1.51 0.132 -1.978072 15.17493 + 331 | 24.00178 5.700489 4.21 0.000 12.82299 35.18056 + 332 | 12.26521 4.47289 2.74 0.006 3.493774 21.03665 + 333 | 8.170908 7.442778 1.10 0.272 -6.424545 22.76636 + 334 | 15.42416 4.831972 3.19 0.001 5.948555 24.89977 + 335 | 11.24286 5.743847 1.96 0.050 -.0209536 22.50667 + 336 | 22.13866 6.672429 3.32 0.001 9.053879 35.22344 + 341 | 12.54898 6.262861 2.00 0.045 .2673732 24.83059 + 342 | 13.41994 9.428462 1.42 0.155 -5.06948 31.90937 + 343 | .5843681 4.716855 0.12 0.901 -8.665489 9.834225 + 344 | 39.72473 11.75741 3.38 0.001 16.6682 62.78126 + 398 | 20.5577 4.970149 4.14 0.000 10.81112 30.30427 + 399 | 7.975 9.456409 0.84 0.399 -10.56923 26.51923 + 400 | .5356339 5.155459 0.10 0.917 -9.574336 10.6456 + 401 | 1.002753 4.114089 0.24 0.807 -7.065066 9.070572 + 402 | 3.624962 3.931032 0.92 0.357 -4.083879 11.3338 + 403 | 16.41971 7.822621 2.10 0.036 1.079378 31.76005 + 404 | 11.20731 7.27341 1.54 0.123 -3.056009 25.47063 + 405 | 16.01082 9.557335 1.68 0.094 -2.731328 34.75296 + 498 | 6.846695 8.024894 0.85 0.394 -8.890301 22.58369 + 499 | 19.7826 11.89023 1.66 0.096 -3.534409 43.0996 + 500 | 3.552158 5.754391 0.62 0.537 -7.73233 14.83665 + 501 | 11.45602 5.104184 2.24 0.025 1.446597 21.46543 + 502 | 2.993167 4.120709 0.73 0.468 -5.087635 11.07397 + 503 | 7.984254 4.080497 1.96 0.051 -.0176903 15.9862 + 504 | 22.35611 5.684723 3.93 0.000 11.20824 33.50398 + 505 | 7.168153 4.046664 1.77 0.077 -.7674442 15.10375 + 506 | 11.28262 7.12521 1.58 0.113 -2.690071 25.25532 + 508 | -.2430475 3.996442 -0.06 0.952 -8.08016 7.594065 + 529 | 16.41954 7.583304 2.17 0.030 1.548508 31.29056 + 530 | 6.001962 3.766334 1.59 0.111 -1.383902 13.38783 + 599 | 14.65334 9.001335 1.63 0.104 -2.998474 32.30516 + 600 | 13.29739 5.34961 2.49 0.013 2.806691 23.7881 + 601 | 8.037986 3.775793 2.13 0.033 .6335724 15.4424 + 602 | 10.38882 3.994581 2.60 0.009 2.555355 18.22228 + 603 | 11.3954 5.61563 2.03 0.043 .3830281 22.40778 + 604 | 2.264736 4.116343 0.55 0.582 -5.807504 10.33698 + 606 | 12.68151 5.502133 2.30 0.021 1.89171 23.47132 + 607 | 16.61077 5.461614 3.04 0.002 5.900425 27.32112 + 609 | 9.717923 5.434889 1.79 0.074 -.9400147 20.37586 + 698 | 3.171221 6.066593 0.52 0.601 -8.725503 15.06794 + 699 | 3.984603 5.935221 0.67 0.502 -7.654497 15.6237 + 700 | -.7660948 4.072431 -0.19 0.851 -8.752223 7.220033 + 701 | 1.429671 4.256811 0.34 0.737 -6.918029 9.777371 + 703 | -.327106 3.965442 -0.08 0.934 -8.103425 7.449213 + 704 | 1.48192 4.244281 0.35 0.727 -6.841209 9.80505 + 705 | 1.07669 4.11209 0.26 0.793 -6.987209 9.14059 + 707 | 10.73869 7.454958 1.44 0.150 -3.880653 25.35802 + 708 | 13.06974 10.8331 1.21 0.228 -8.174203 34.31369 + 709 | 6.938632 3.818562 1.82 0.069 -.5496523 14.42692 + 710 | 1.554894 3.794755 0.41 0.682 -5.886705 8.996492 + 711 | 1.709088 3.850079 0.44 0.657 -5.841001 9.259177 + 798 | 5.191112 6.715187 0.77 0.440 -7.977518 18.35974 + 799 | 1.270206 4.329924 0.29 0.769 -7.220871 9.761284 + 800 | -5.517633 3.908281 -1.41 0.158 -13.18186 2.146592 + 801 | -5.412954 4.820536 -1.12 0.262 -14.86613 4.040224 + 802 | -5.069171 3.865548 -1.31 0.190 -12.6496 2.511255 + 803 | 4.531824 3.87126 1.17 0.242 -3.059802 12.12345 + 805 | -4.185329 3.855502 -1.09 0.278 -11.74605 3.375396 + 806 | 4.895947 4.239009 1.15 0.248 -3.416844 13.20874 + 807 | .5562065 4.264141 0.13 0.896 -7.805868 8.918281 + 898 | -6.224045 3.994903 -1.56 0.119 -14.05814 1.610049 + 899 | -5.987199 4.345058 -1.38 0.168 -14.50795 2.533556 + 1000 | .4052156 6.104204 0.07 0.947 -11.56526 12.3757 + 1001 | .4350643 4.024005 0.11 0.914 -7.456099 8.326228 + 1002 | 3.442048 4.248495 0.81 0.418 -4.889346 11.77344 + 1003 | 3.353359 4.00291 0.84 0.402 -4.496435 11.20315 + 1005 | 4.792373 5.477924 0.87 0.382 -5.949958 15.5347 + 1006 | 9.826486 4.781477 2.06 0.040 .4499041 19.20307 + 1007 | -.9792767 3.891808 -0.25 0.801 -8.611199 6.652645 + 1010 | .1693506 5.892719 0.03 0.977 -11.3864 11.7251 + 1098 | -10.70281 4.11586 -2.60 0.009 -18.77411 -2.631521 + 1099 | -1.834908 6.469761 -0.28 0.777 -14.52225 10.85244 + 1200 | 8.169985 6.478449 1.26 0.207 -4.534397 20.87437 + 1201 | 2.393538 4.44672 0.54 0.590 -6.326578 11.11365 + 1202 | .6239308 5.108091 0.12 0.903 -9.393149 10.64101 + 1203 | 2.525088 4.042054 0.62 0.532 -5.40147 10.45165 + 1204 | 1.875436 3.900829 0.48 0.631 -5.774176 9.525048 + 1205 | 5.668383 4.631943 1.22 0.221 -3.414959 14.75173 + 1206 | -1.633486 4.200194 -0.39 0.697 -9.87016 6.603187 + 1207 | 6.159468 4.080053 1.51 0.131 -1.841607 14.16054 + 1208 | 16.27743 4.800176 3.39 0.001 6.864177 25.69068 + 1209 | 21.38174 4.516709 4.73 0.000 12.52437 30.23911 + 1210 | 8.989415 4.590337 1.96 0.050 -.0123379 17.99117 + 1211 | 8.729275 5.221263 1.67 0.095 -1.509738 18.96829 + 1299 | 2.680408 6.276625 0.43 0.669 -9.628193 14.98901 + 1300 | 10.36917 7.526499 1.38 0.168 -4.390463 25.1288 + 1301 | 12.45383 7.305513 1.70 0.088 -1.872447 26.7801 + 1302 | -1.047588 4.34756 -0.24 0.810 -9.57325 7.478073 + 1303 | 6.065816 3.941201 1.54 0.124 -1.662967 13.7946 + 1304 | 21.0389 7.47746 2.81 0.005 6.375438 35.70237 + 1305 | 31.30118 9.526743 3.29 0.001 12.61902 49.98333 + 1399 | -1.779922 4.978063 -0.36 0.721 -11.54201 7.982171 + 1400 | 7.207804 5.549932 1.30 0.194 -3.675737 18.09134 + 1401 | 12.56673 6.179184 2.03 0.042 .4492138 24.68425 + 1403 | 3.236496 7.945769 0.41 0.684 -12.34533 18.81833 + 1404 | -.0805197 4.936932 -0.02 0.987 -9.761953 9.600913 + 1405 | -1.34786 3.988849 -0.34 0.735 -9.17008 6.474361 + 1406 | 7.593787 6.292363 1.21 0.228 -4.745676 19.93325 + 1407 | 1.431194 4.329804 0.33 0.741 -7.059649 9.922036 + 1408 | 9.345343 7.949617 1.18 0.240 -6.244032 24.93472 + 1409 | 10.5204 5.781914 1.82 0.069 -.8180599 21.85886 + 1410 | 10.71539 5.590676 1.92 0.055 -.2480512 21.67883 + 1499 | 1.306628 5.792094 0.23 0.822 -10.0518 12.66505 + 1500 | 5.644669 7.09902 0.80 0.427 -8.276667 19.566 + 1501 | 8.405745 4.474752 1.88 0.060 -.3693428 17.18083 + 1502 | 1.878922 4.349687 0.43 0.666 -6.650912 10.40876 + 1504 | 12.56502 6.012868 2.09 0.037 .7736521 24.35639 + 1505 | 7.578885 4.466509 1.70 0.090 -1.180037 16.33781 + 1507 | 5.518292 5.136203 1.07 0.283 -4.553915 15.5905 + 1520 | 5.346218 5.699447 0.94 0.348 -5.830524 16.52296 + 1521 | 5.718946 3.82559 1.49 0.135 -1.783121 13.22101 + 1522 | 1.278243 4.641225 0.28 0.783 -7.823302 10.37979 + 1523 | 1.391281 3.759574 0.37 0.711 -5.981326 8.763889 + 1524 | 30.04941 19.2077 1.56 0.118 -7.617314 67.71613 + 1525 | 5.73559 4.845233 1.18 0.237 -3.76602 15.2372 + 1526 | 10.82632 5.917134 1.83 0.067 -.7773069 22.42996 + 1599 | 15.84912 7.609098 2.08 0.037 .9275094 30.77073 + 1600 | -8.614387 4.375271 -1.97 0.049 -17.19439 -.0343828 + 1602 | 17.38055 10.96819 1.58 0.113 -4.128311 38.88941 + 1603 | -4.546266 5.672192 -0.80 0.423 -15.66956 6.577028 + 1604 | 9.41796 8.809281 1.07 0.285 -7.857236 26.69316 + 1605 | 9.211417 7.320302 1.26 0.208 -5.143857 23.56669 + 1606 | -.3325544 6.705174 -0.05 0.960 -13.48155 12.81644 + 1608 | 18.50083 4.748823 3.90 0.000 9.188286 27.81338 + 1609 | 15.30174 4.307762 3.55 0.000 6.85412 23.74936 + 1610 | 5.645087 9.32322 0.61 0.545 -12.63795 23.92813 + 1611 | -3.005487 5.002158 -0.60 0.548 -12.81483 6.803856 + 1612 | 6.491582 4.904295 1.32 0.186 -3.125849 16.10901 + 1614 | -8.289686 4.834534 -1.71 0.087 -17.77032 1.190943 + 1615 | -.1093615 4.147894 -0.03 0.979 -8.243473 8.02475 + 1616 | -6.882304 3.697218 -1.86 0.063 -14.13263 .3680215 + 1617 | 2.910772 6.808945 0.43 0.669 -10.44172 16.26326 + 1619 | 9.33405 7.214576 1.29 0.196 -4.813893 23.48199 + 1620 | -5.728713 3.800308 -1.51 0.132 -13.1812 1.723775 + 1698 | -11.10179 4.912838 -2.26 0.024 -20.73597 -1.467606 + 1699 | 10.82213 6.887675 1.57 0.116 -2.684751 24.32902 + 1700 | 3.222803 7.37816 0.44 0.662 -11.24593 17.69154 + 1701 | -2.219641 4.248357 -0.52 0.601 -10.55076 6.111482 + 1704 | -.0912419 4.29861 -0.02 0.983 -8.520911 8.338427 + 1705 | -9.664514 4.839416 -2.00 0.046 -19.15472 -.1743116 + 1706 | 7.814477 4.917035 1.59 0.112 -1.827938 17.45689 + 1707 | 14.69884 5.636629 2.61 0.009 3.645285 25.7524 + 1708 | -2.54934 3.818598 -0.67 0.504 -10.0377 4.939015 + 1709 | 12.64715 5.376839 2.35 0.019 2.103053 23.19125 + 1798 | 7.173913 5.591589 1.28 0.200 -3.791317 18.13914 + 1799 | -6.330894 4.089835 -1.55 0.122 -14.35115 1.689364 + 1800 | -4.119579 4.206525 -0.98 0.328 -12.36867 4.129509 + 1802 | -.481766 3.829755 -0.13 0.900 -7.992 7.028468 + 1803 | 2.514991 5.383731 0.47 0.640 -8.042626 13.07261 + 1804 | -.4272936 4.375184 -0.10 0.922 -9.007125 8.152538 + 1806 | -2.269203 3.714388 -0.61 0.541 -9.553201 5.014794 + 1807 | -8.672357 3.46812 -2.50 0.012 -15.47342 -1.871298 + 1808 | 7.752518 11.71953 0.66 0.508 -15.22975 30.73478 + 1899 | 1.412031 13.37073 0.11 0.916 -24.80827 27.63234 + 1900 | -4.700145 4.697225 -1.00 0.317 -13.91151 4.511217 + 1901 | 1.497268 4.118347 0.36 0.716 -6.578902 9.573437 + 1902 | 11.67825 6.730698 1.74 0.083 -1.520798 24.8773 + 1905 | 13.92611 9.867958 1.41 0.158 -5.425177 33.27739 + 1906 | 3.238066 4.768436 0.68 0.497 -6.112942 12.58907 + 1907 | -.6256574 4.184959 -0.15 0.881 -8.832454 7.581139 + 1908 | 1.36054 7.605882 0.18 0.858 -13.55476 16.27584 + 1909 | -.1360323 4.755661 -0.03 0.977 -9.461988 9.189924 + 1910 | 12.8928 8.287493 1.56 0.120 -3.359156 29.14476 + 1911 | .4630191 5.29377 0.09 0.930 -9.918181 10.84422 + 1912 | -8.020106 3.813172 -2.10 0.036 -15.49782 -.5423916 + 1914 | 5.595189 5.209222 1.07 0.283 -4.620211 15.81059 + 1915 | -11.65074 4.553639 -2.56 0.011 -20.58052 -2.720951 + 1919 | .2875357 4.093938 0.07 0.944 -7.740768 8.315839 + 1920 | 28.10113 8.477335 3.31 0.001 11.47689 44.72538 + 1925 | 15.27943 5.565178 2.75 0.006 4.365991 26.19286 + 1926 | 6.165549 4.388524 1.40 0.160 -2.440445 14.77154 + 1927 | 2.486684 4.304415 0.58 0.564 -5.954369 10.92774 + 1929 | 9.485132 5.79796 1.64 0.102 -1.884796 20.85506 + 1999 | -5.718408 5.15166 -1.11 0.267 -15.82093 4.384112 + 2000 | -2.829553 4.043389 -0.70 0.484 -10.75873 5.099622 + 2001 | 3.518992 4.175995 0.84 0.400 -4.670227 11.70821 + 2002 | 6.113814 4.028192 1.52 0.129 -1.78556 14.01319 + 2003 | 15.32044 6.13487 2.50 0.013 3.289829 27.35106 + 2004 | 3.739765 3.848102 0.97 0.331 -3.806449 11.28598 + 2005 | 7.786408 10.33633 0.75 0.451 -12.48337 28.05619 + 2006 | 80.10446 9.017018 8.88 0.000 62.42189 97.78703 + 2007 | 6.510791 5.614493 1.16 0.246 -4.499354 17.52094 + 2008 | 5.30131 3.667607 1.45 0.148 -1.890947 12.49357 + 2009 | 2.082134 5.3251 0.39 0.696 -8.360505 12.52477 + 2011 | 4.884011 3.709043 1.32 0.188 -2.389505 12.15753 + 2012 | .7401346 3.990757 0.19 0.853 -7.085829 8.566098 + 2013 | .520925 4.828407 0.11 0.914 -8.947688 9.989538 + 2014 | .1792617 4.485228 0.04 0.968 -8.61637 8.974893 + 2015 | -1.508532 5.223017 -0.29 0.773 -11.75099 8.733921 + 2030 | 20.79334 10.31847 2.02 0.044 .5585883 41.02809 + 2099 | 11.91563 9.014486 1.32 0.186 -5.761972 29.59324 + 2100 | -2.484089 4.468399 -0.56 0.578 -11.24672 6.27854 + 2101 | 2.541898 3.631694 0.70 0.484 -4.579935 9.66373 + 2102 | -2.871216 3.521714 -0.82 0.415 -9.777374 4.034943 + 2103 | -2.37119 3.515934 -0.67 0.500 -9.266015 4.523635 + 2104 | -4.44459 3.513261 -1.27 0.206 -11.33417 2.444993 + 2105 | 9.02032 7.98038 1.13 0.258 -6.629381 24.67002 + 2199 | -2.236155 5.179583 -0.43 0.666 -12.39343 7.921121 + 9999 | 29.83301 14.88465 2.00 0.045 .6438783 59.02213 + | + house_administration | -.5060231 1.672357 -0.30 0.762 -3.785552 2.773506 + house_agriculture | 3.867268 1.405765 2.75 0.006 1.110531 6.624004 + house_appropriations | 5.499951 4.311333 1.28 0.202 -2.954669 13.95457 + house_armedservices | 5.669803 1.835064 3.09 0.002 2.071201 9.268404 + house_budget | 6.245137 3.32637 1.88 0.061 -.2779484 12.76822 + house_dc | .1884534 3.284213 0.06 0.954 -6.251962 6.628868 + house_educlabor | -.6178377 1.134577 -0.54 0.586 -2.842768 1.607093 + house_energycommerce | 5.840963 .9121529 6.40 0.000 4.052211 7.629715 + house_foreignaffairs | 2.776469 1.579821 1.76 0.079 -.3215947 5.874532 + house_governmentop | 7.382414 2.826813 2.61 0.009 1.83897 12.92586 + house_intelligence | 4.16046 6.078589 0.68 0.494 -7.759787 16.08071 + house_interior | .2462083 1.321566 0.19 0.852 -2.345411 2.837828 + house_judiciary | 3.377844 .8856123 3.81 0.000 1.641139 5.114549 + house_mmf | 2.021063 1.764864 1.15 0.252 -1.439875 5.482001 + house_pocs | 2.418155 2.348959 1.03 0.303 -2.188205 7.024516 + house_pwt | 2.093211 1.579725 1.33 0.185 -1.004665 5.191086 + house_rules | 3.020529 1.749766 1.73 0.084 -.4108017 6.451859 + house_sst | 5.726048 4.74648 1.21 0.228 -3.581905 15.034 + house_smallbusi | -4.778817 1.941034 -2.46 0.014 -8.585228 -.9724053 + house_soc | -9.487443 3.752041 -2.53 0.012 -16.84528 -2.129608 + house_veterans | .8439014 1.849227 0.46 0.648 -2.782474 4.470276 + house_waysandmeans | 3.554749 .8256085 4.31 0.000 1.935713 5.173786 +house_naturalresources | 2.102596 1.160187 1.81 0.070 -.1725571 4.37775 + house_bfs | .5938978 1.31744 0.45 0.652 -1.989631 3.177427 + house_eeo | 1.884249 3.379196 0.56 0.577 -4.742429 8.510926 + house_govreform | 1.224244 1.29373 0.95 0.344 -1.31279 3.761278 + house_ir | 5.091383 1.710333 2.98 0.003 1.737381 8.445384 + house_natsecur | 8.734774 4.186228 2.09 0.037 .5254875 16.94406 + house_oversight | 3.880402 1.850259 2.10 0.036 .252003 7.508801 + house_resources | -1.288657 .974708 -1.32 0.186 -3.200081 .6227674 + house_science | .5370465 1.807722 0.30 0.766 -3.007937 4.08203 + house_transp | 3.135238 1.176517 2.66 0.008 .8280627 5.442413 + house_homeland | -.6739551 1.856113 -0.36 0.717 -4.313833 2.965923 + sponsor_democrat | 0 (omitted) + sponsor_rookie | -3.309314 .7161983 -4.62 0.000 -4.713794 -1.904833 + sponsor_tenure_run | -.1110933 .1295576 -0.86 0.391 -.3651585 .142972 + sponsor_age | .0221986 .0343541 0.65 0.518 -.0451706 .0895677 + leader | -.6280339 .7731875 -0.81 0.417 -2.144272 .8882041 + ivycoll | .3679238 1.02939 0.36 0.721 -1.650732 2.38658 + black | -4.89474 4.674182 -1.05 0.295 -14.06091 4.271435 + occ0 | 4.993681 .9692716 5.15 0.000 3.092918 6.894444 + occ1 | 3.385615 1.14487 2.96 0.003 1.140499 5.630731 + occ2 | 2.965044 .8069981 3.67 0.000 1.382503 4.547585 + occ3 | -.2617949 1.215622 -0.22 0.830 -2.645656 2.122066 + occ4 | 3.97791 .7855374 5.06 0.000 2.437453 5.518366 + borninstate | 1.051511 .5707856 1.84 0.066 -.0678117 2.170835 + tot_bills | -.0861305 .0408051 -2.11 0.035 -.1661502 -.0061108 + NE | -2.986619 .906211 -3.30 0.001 -4.763719 -1.20952 + MW | -.6973532 .8549906 -0.82 0.415 -2.374009 .9793024 + WE | -1.68059 .9605451 -1.75 0.080 -3.56424 .20306 + pct_black | -3.527919 4.066552 -0.87 0.386 -11.50252 4.446681 + pct_urban | 1.639248 2.017054 0.81 0.416 -2.31624 5.594737 + pct_for_born | 4.581741 6.342354 0.72 0.470 -7.855756 17.01924 + pct_age_over65 | 12.44734 7.366209 1.69 0.091 -1.997957 26.89264 + lninc | 5.464503 2.236113 2.44 0.015 1.079436 9.84957 + lnpden | -.1420975 .2769919 -0.51 0.608 -.6852848 .4010899 + _cons | -53.25225 22.24689 -2.39 0.017 -96.8789 -9.6256 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,244 1 0 1 1 + + +j = 2 k = 1 + + +rdbwselect_2014 numb_cosponsors MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11990 +----------------------+---------------------- NN matches = 3 + Number of obs | 6151 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 25.22792 46.13311 .5468506 +---------------------------------------------- +reg numb_cosponsors sponsor_female i.v2 MV1_female femaleXMV1_female if tag_bill==1 & sample==1 & abs(MV1_female)<=25.22792045028809, robust cluster(group_sponsor) + +Linear regression Number of obs = 4,871 + F(13, 402) = 1.45 + Prob > F = 0.1342 + R-squared = 0.0067 + Root MSE = 32.46 + + (Std. Err. adjusted for 403 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | 2.30757 2.597437 0.89 0.375 -2.798687 7.413826 + | + v2 | + 102 | 1.407527 2.710469 0.52 0.604 -3.920937 6.73599 + 103 | .4735971 2.843379 0.17 0.868 -5.116151 6.063346 + 104 | 2.956087 2.931672 1.01 0.314 -2.807237 8.71941 + 105 | 3.3825 3.084228 1.10 0.273 -2.68073 9.445729 + 106 | 2.87352 3.23593 0.89 0.375 -3.487938 9.234979 + 107 | 5.639834 3.291526 1.71 0.087 -.8309195 12.11059 + 108 | 3.65549 3.062464 1.19 0.233 -2.364954 9.675935 + 109 | -1.356749 2.735264 -0.50 0.620 -6.733957 4.02046 + 110 | .8256833 2.936453 0.28 0.779 -4.947038 6.598405 + 111 | -.7144102 3.006887 -0.24 0.812 -6.625597 5.196776 + | + MV1_female | -.0204158 .1049194 -0.19 0.846 -.2266751 .1858435 +femaleXMV1_female | .1275677 .1856099 0.69 0.492 -.2373196 .4924551 + _cons | 12.45314 2.85612 4.36 0.000 6.838344 18.06794 +----------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 403 1 0 1 1 + + +j = 2 k = 2 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6187 +----------------------+---------------------- NN matches = 3 + Number of obs | 2193 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 29.70309 50.99673 .5824509 +---------------------------------------------- +reg numb_cosponsors sponsor_female i.v2 MV1_female femaleXMV1_female if sponsor_party==100 & tag_bill==1 & sample==1 & abs(MV1_female)<=29.70309229791805, robust cl +> uster(group_sponsor) + +Linear regression Number of obs = 2,343 + F(13, 192) = 1.65 + Prob > F = 0.0744 + R-squared = 0.0151 + Root MSE = 30.879 + + (Std. Err. adjusted for 193 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | 2.182396 3.609437 0.60 0.546 -4.936844 9.301636 + | + v2 | + 102 | 1.878379 3.287251 0.57 0.568 -4.605384 8.362141 + 103 | -.4300373 2.888107 -0.15 0.882 -6.126529 5.266455 + 104 | 3.400135 3.876715 0.88 0.382 -4.246284 11.04655 + 105 | 8.597201 4.036197 2.13 0.034 .6362196 16.55818 + 106 | 9.258167 5.627085 1.65 0.102 -1.840676 20.35701 + 107 | 2.613355 4.627701 0.56 0.573 -6.514306 11.74102 + 108 | 4.484562 4.152516 1.08 0.282 -3.705845 12.67497 + 109 | 2.696055 4.46902 0.60 0.547 -6.118625 11.51073 + 110 | 3.198509 3.528778 0.91 0.366 -3.761641 10.15866 + 111 | -2.013 2.991112 -0.67 0.502 -7.912659 3.886659 + | + MV1_female | .029469 .1492428 0.20 0.844 -.264897 .3238351 +femaleXMV1_female | .0565029 .227421 0.25 0.804 -.3920615 .5050672 + _cons | 11.75459 3.977995 2.95 0.004 3.908403 19.60077 +----------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 193 1 0 1 1 + + +j = 2 k = 3 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 13.03771 22.75762 .5728944 +---------------------------------------------- +reg numb_cosponsors sponsor_female i.v2 MV1_female femaleXMV1_female if sponsor_party==200 & tag_bill==1 & sample==1 & abs(MV1_female)<=13.03771312569283, robust cl +> uster(group_sponsor) + +Linear regression Number of obs = 1,227 + F(13, 99) = 3.24 + Prob > F = 0.0004 + R-squared = 0.0271 + Root MSE = 31.343 + + (Std. Err. adjusted for 100 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | 6.101033 4.796265 1.27 0.206 -3.415798 15.61786 + | + v2 | + 102 | .6459635 2.753183 0.23 0.815 -4.816949 6.108876 + 103 | -1.113549 3.375381 -0.33 0.742 -7.811037 5.583939 + 104 | 2.359988 2.472073 0.95 0.342 -2.545141 7.265117 + 105 | .2026507 3.335152 0.06 0.952 -6.415015 6.820316 + 106 | .4157731 2.29118 0.18 0.856 -4.130424 4.961971 + 107 | 7.250182 4.193107 1.73 0.087 -1.069852 15.57022 + 108 | 21.70257 4.836558 4.49 0.000 12.10579 31.29935 + 109 | 1.140367 2.595959 0.44 0.661 -4.010579 6.291312 + 110 | -3.790232 3.16537 -1.20 0.234 -10.07101 2.49055 + 111 | -1.333238 2.829935 -0.47 0.639 -6.948443 4.281967 + | + MV1_female | .1455555 .3535199 0.41 0.681 -.5559048 .8470158 +femaleXMV1_female | -.9561589 .6583479 -1.45 0.150 -2.262464 .3501462 + _cons | 13.84114 2.704239 5.12 0.000 8.475344 19.20694 +----------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 100 1 0 1 1 + + +j = 3 k = 1 + + +rdbwselect_2014 numb_cosponsors MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11990 +----------------------+---------------------- NN matches = 3 + Number of obs | 6151 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 25.22792 46.13311 .5468506 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(50,600 missing values generated) +(56,627 missing values generated) +(6,027 real changes made) +reg numb_cosponsors sponsor_female i.v2 MV1_female femaleXMV1_female i.minor house_* [aw=wt] if tag_bill==1 & sample==1 & abs(MV1_female)<=25.22792045028809, robust +> cluster(group_sponsor) +(sum of wgt is 9,786.78081345558) + +Linear regression Number of obs = 4,871 + F(250, 402) = . + Prob > F = . + R-squared = 0.1382 + Root MSE = 31.334 + + (Std. Err. adjusted for 403 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 1.138375 2.333039 0.49 0.626 -3.448105 5.724855 + | + v2 | + 102 | 1.496168 2.571097 0.58 0.561 -3.558307 6.550642 + 103 | -1.338086 2.727966 -0.49 0.624 -6.700947 4.024774 + 104 | 1.850203 3.379777 0.55 0.584 -4.794042 8.494447 + 105 | 1.045638 2.772075 0.38 0.706 -4.403936 6.495211 + 106 | 2.104985 3.168906 0.66 0.507 -4.124713 8.334682 + 107 | 3.036746 3.135572 0.97 0.333 -3.127422 9.200913 + 108 | 1.769696 3.292191 0.54 0.591 -4.702366 8.241758 + 109 | -2.056562 2.486946 -0.83 0.409 -6.945606 2.832481 + 110 | -1.352336 2.710498 -0.50 0.618 -6.680857 3.976185 + 111 | -3.557667 2.644378 -1.35 0.179 -8.756204 1.64087 + | + MV1_female | -.058448 .0944647 -0.62 0.536 -.2441545 .1272586 + femaleXMV1_female | .1385541 .1652624 0.84 0.402 -.1863325 .4634407 + | + minor | + 101 | 8.733487 12.52156 0.70 0.486 -15.88242 33.3494 + 103 | .8573112 8.164449 0.11 0.916 -15.19304 16.90766 + 104 | -1.060663 8.742117 -0.12 0.903 -18.24664 16.12531 + 105 | 3.250846 8.684137 0.37 0.708 -13.82115 20.32284 + 107 | 5.977668 8.119602 0.74 0.462 -9.984517 21.93985 + 108 | 11.43228 15.23871 0.75 0.454 -18.52523 41.38979 + 200 | 4.230055 10.1659 0.42 0.678 -15.7549 24.21501 + 201 | 8.82105 14.80272 0.60 0.552 -20.27936 37.92146 + 202 | 33.11345 26.65841 1.24 0.215 -19.29385 85.52076 + 204 | 5.033987 11.87054 0.42 0.672 -18.3021 28.37008 + 205 | 42.82045 45.40271 0.94 0.346 -46.43596 132.0769 + 206 | 18.51713 14.01369 1.32 0.187 -9.032137 46.06639 + 207 | 24.44802 11.41194 2.14 0.033 2.013489 46.88255 + 208 | 9.302332 10.29298 0.90 0.367 -10.93247 29.53713 + 209 | -8.945378 8.691935 -1.03 0.304 -26.0327 8.141946 + 299 | 35.61185 8.812313 4.04 0.000 18.28788 52.93582 + 300 | 22.29186 21.2199 1.05 0.294 -19.42399 64.0077 + 301 | 5.589513 8.815004 0.63 0.526 -11.73975 22.91878 + 302 | 17.03919 9.133822 1.87 0.063 -.9168323 34.99521 + 321 | 5.326972 10.61573 0.50 0.616 -15.54232 26.19626 + 322 | 4.421739 8.911989 0.50 0.620 -13.09819 21.94166 + 323 | 13.58783 13.43369 1.01 0.312 -12.82122 39.99688 + 324 | -2.092635 8.715555 -0.24 0.810 -19.22639 15.04112 + 325 | 20.94628 15.05955 1.39 0.165 -8.659036 50.55159 + 331 | 30.9516 13.35419 2.32 0.021 4.698838 57.20437 + 332 | 9.36074 9.594874 0.98 0.330 -9.501657 28.22314 + 333 | 18.61323 13.66834 1.36 0.174 -8.257129 45.48358 + 334 | 25.91872 14.94732 1.73 0.084 -3.465969 55.3034 + 335 | 6.342297 13.03568 0.49 0.627 -19.28432 31.96892 + 336 | 38.7156 21.21942 1.82 0.069 -2.999286 80.43049 + 341 | .9830513 9.191379 0.11 0.915 -17.08612 19.05222 + 342 | -.11403 11.06869 -0.01 0.992 -21.87377 21.64571 + 343 | 1.735901 8.50121 0.20 0.838 -14.97648 18.44828 + 344 | -2.986721 8.307306 -0.36 0.719 -19.31791 13.34447 + 398 | 17.44364 11.30128 1.54 0.123 -4.773342 39.66062 + 399 | 6.887549 10.99728 0.63 0.531 -14.73182 28.50692 + 400 | -1.162258 9.444796 -0.12 0.902 -19.72962 17.4051 + 401 | -1.311572 11.45909 -0.11 0.909 -23.8388 21.21565 + 402 | -6.80544 8.41156 -0.81 0.419 -23.34158 9.7307 + 403 | 1.220825 10.14882 0.12 0.904 -18.73056 21.17221 + 404 | 7.671879 12.79586 0.60 0.549 -17.48327 32.82703 + 405 | .3545507 9.223822 0.04 0.969 -17.7784 18.4875 + 498 | -8.671281 8.922082 -0.97 0.332 -26.21105 8.868485 + 499 | 38.64234 41.02481 0.94 0.347 -42.00763 119.2923 + 500 | -5.828129 8.7751 -0.66 0.507 -23.07895 11.42269 + 501 | .669011 8.84701 0.08 0.940 -16.72317 18.0612 + 502 | 8.871091 10.29652 0.86 0.389 -11.37065 29.11284 + 503 | 13.17436 9.017841 1.46 0.145 -4.553662 30.90237 + 504 | 32.00706 18.60544 1.72 0.086 -4.569042 68.58316 + 505 | 18.76159 12.74634 1.47 0.142 -6.296218 43.81939 + 506 | 7.603679 10.06006 0.76 0.450 -12.17323 27.38058 + 508 | 9.427637 8.609313 1.10 0.274 -7.497263 26.35254 + 530 | 4.640133 8.911556 0.52 0.603 -12.87894 22.15921 + 599 | 3.215427 11.55325 0.28 0.781 -19.49691 25.92777 + 600 | 5.337966 8.621658 0.62 0.536 -11.6112 22.28713 + 601 | 7.291462 8.544427 0.85 0.394 -9.50588 24.0888 + 602 | 13.534 8.932047 1.52 0.131 -4.025361 31.09335 + 603 | 17.64941 12.17839 1.45 0.148 -6.291873 41.59069 + 604 | -.0039471 9.541456 -0.00 1.000 -18.76133 18.75344 + 606 | 11.38553 12.54091 0.91 0.364 -13.26843 36.03948 + 607 | 3.375421 8.471516 0.40 0.691 -13.27858 20.02943 + 609 | 1.359301 10.91775 0.12 0.901 -20.10372 22.82232 + 698 | 2.439134 8.900687 0.27 0.784 -15.05857 19.93684 + 699 | 13.32877 10.15016 1.31 0.190 -6.625258 33.28279 + 700 | 2.998498 9.514687 0.32 0.753 -15.70626 21.70326 + 701 | -1.803556 8.889557 -0.20 0.839 -19.27938 15.67227 + 703 | -2.608199 8.81486 -0.30 0.767 -19.93718 14.72078 + 704 | -7.308997 8.265489 -0.88 0.377 -23.55798 8.939984 + 705 | -1.791011 8.58834 -0.21 0.835 -18.67468 15.09266 + 707 | 42.00408 28.80303 1.46 0.146 -14.6193 98.62745 + 708 | -10.12362 8.645163 -1.17 0.242 -27.119 6.871758 + 709 | 13.48679 9.428384 1.43 0.153 -5.048304 32.02189 + 710 | 6.775477 9.069405 0.75 0.455 -11.05391 24.60486 + 711 | -2.861922 7.932373 -0.36 0.718 -18.45604 12.73219 + 798 | -.9426055 8.573791 -0.11 0.913 -17.79767 15.91246 + 799 | 2.014823 9.876402 0.20 0.838 -17.40102 21.43067 + 800 | 4.961538 10.47893 0.47 0.636 -15.63881 25.56188 + 801 | -.5214739 8.495576 -0.06 0.951 -17.22278 16.17983 + 802 | -4.174275 8.422132 -0.50 0.620 -20.7312 12.38265 + 803 | 5.942816 8.827681 0.67 0.501 -11.41137 23.297 + 805 | -4.242525 8.351168 -0.51 0.612 -20.65994 12.17489 + 806 | 2.910528 8.980117 0.32 0.746 -14.74333 20.56439 + 807 | 2.331684 8.337578 0.28 0.780 -14.05902 18.72238 + 898 | 13.11089 14.65242 0.89 0.371 -15.69406 41.91584 + 899 | 41.44928 8.681022 4.77 0.000 24.38341 58.51515 + 1000 | -5.269169 8.478 -0.62 0.535 -21.93592 11.39758 + 1001 | 3.227068 9.93332 0.32 0.745 -16.30067 22.75481 + 1002 | -2.244673 8.468252 -0.27 0.791 -18.89226 14.40292 + 1003 | 1.804497 8.514211 0.21 0.832 -14.93344 18.54244 + 1005 | -2.081755 9.433568 -0.22 0.825 -20.62704 16.46353 + 1006 | 11.25738 12.3347 0.91 0.362 -12.9912 35.50596 + 1007 | 8.607269 9.295846 0.93 0.355 -9.667274 26.88181 + 1010 | -3.820785 8.466682 -0.45 0.652 -20.46529 12.82372 + 1098 | -7.351099 9.144671 -0.80 0.422 -25.32845 10.62625 + 1099 | -11.21241 8.859689 -1.27 0.206 -28.62952 6.204696 + 1200 | -11.0823 9.139801 -1.21 0.226 -29.05008 6.885475 + 1201 | 8.954329 11.83854 0.76 0.450 -14.31886 32.22752 + 1202 | .3107693 9.984668 0.03 0.975 -19.31792 19.93945 + 1203 | 2.113855 10.14585 0.21 0.835 -17.83169 22.0594 + 1204 | .1021248 9.714518 0.01 0.992 -18.99548 19.19973 + 1205 | 4.253542 11.2056 0.38 0.704 -17.77535 26.28243 + 1206 | 1.340732 9.180707 0.15 0.884 -16.70746 19.38892 + 1207 | 5.976291 9.442076 0.63 0.527 -12.58572 24.5383 + 1208 | 10.61876 9.384712 1.13 0.259 -7.830483 29.068 + 1209 | 13.07737 9.434007 1.39 0.166 -5.468777 31.62352 + 1210 | 16.29321 17.33746 0.94 0.348 -17.7902 50.37663 + 1211 | 44.81344 30.82522 1.45 0.147 -15.78531 105.4122 + 1299 | 6.369519 12.48016 0.51 0.610 -18.16501 30.90405 + 1300 | 5.967325 9.424234 0.63 0.527 -12.55961 24.49426 + 1301 | 12.71071 10.85178 1.17 0.242 -8.622607 34.04403 + 1302 | 15.9708 17.66751 0.90 0.367 -18.76146 50.70305 + 1303 | 8.178534 8.873524 0.92 0.357 -9.265774 25.62284 + 1304 | 28.78762 18.04475 1.60 0.111 -6.686236 64.26147 + 1305 | 34.8833 24.97497 1.40 0.163 -14.21457 83.98116 + 1399 | -5.609418 8.232385 -0.68 0.496 -21.79332 10.57449 + 1400 | -3.732459 8.65647 -0.43 0.667 -20.75006 13.28515 + 1401 | 6.973254 11.67454 0.60 0.551 -15.97752 29.92402 + 1403 | 11.03135 9.523149 1.16 0.247 -7.690046 29.75274 + 1404 | .5688988 8.22913 0.07 0.945 -15.60861 16.7464 + 1405 | 4.004786 8.692383 0.46 0.645 -13.08342 21.09299 + 1406 | -4.947565 8.331231 -0.59 0.553 -21.32579 11.43066 + 1407 | 11.35074 9.382939 1.21 0.227 -7.095013 29.7965 + 1408 | 6.851552 13.588 0.50 0.614 -19.86085 33.56396 + 1409 | 31.20705 19.35476 1.61 0.108 -6.842141 69.25624 + 1410 | 4.771901 10.56093 0.45 0.652 -15.98964 25.53345 + 1499 | -8.458227 8.602526 -0.98 0.326 -25.36978 8.45333 + 1500 | 19.76745 26.89532 0.73 0.463 -33.1056 72.6405 + 1501 | 2.481356 9.400521 0.26 0.792 -15.99897 20.96168 + 1502 | 10.06276 10.76041 0.94 0.350 -11.09093 31.21646 + 1504 | 7.911822 10.13566 0.78 0.436 -12.0137 27.83734 + 1505 | .6853519 8.521027 0.08 0.936 -16.06599 17.43669 + 1507 | 11.25869 20.20185 0.56 0.578 -28.45577 50.97315 + 1520 | 10.79016 18.53613 0.58 0.561 -25.6497 47.23001 + 1521 | .0868827 8.454665 0.01 0.992 -16.534 16.70776 + 1522 | -7.980339 8.598201 -0.93 0.354 -24.88339 8.922715 + 1523 | .6879593 8.234822 0.08 0.933 -15.50073 16.87665 + 1524 | 16.39653 21.162 0.77 0.439 -25.20548 57.99853 + 1525 | 7.680372 9.672628 0.79 0.428 -11.33488 26.69562 + 1526 | 23.43636 26.45091 0.89 0.376 -28.56303 75.43575 + 1599 | -2.812793 8.242338 -0.34 0.733 -19.01626 13.39068 + 1600 | -3.778544 9.354078 -0.40 0.686 -22.16756 14.61047 + 1602 | -10.58655 9.524812 -1.11 0.267 -29.31121 8.138116 + 1603 | -7.282937 14.37218 -0.51 0.613 -35.53696 20.97109 + 1604 | 5.851416 8.635641 0.68 0.498 -11.12524 22.82807 + 1605 | 4.193013 8.666137 0.48 0.629 -12.8436 21.22962 + 1606 | 19.19369 14.8801 1.29 0.198 -10.05885 48.44623 + 1608 | 10.22276 9.050127 1.13 0.259 -7.568723 28.01425 + 1609 | 16.1004 9.005436 1.79 0.075 -1.603226 33.80403 + 1610 | 8.480254 9.738076 0.87 0.384 -10.66366 27.62417 + 1611 | -6.398197 8.711743 -0.73 0.463 -23.52446 10.72807 + 1612 | 5.624988 9.581107 0.59 0.557 -13.21034 24.46032 + 1614 | -4.09729 10.66138 -0.38 0.701 -25.05632 16.86174 + 1615 | 6.695237 9.201334 0.73 0.467 -11.39351 24.78398 + 1616 | -6.864059 7.587697 -0.90 0.366 -21.78058 8.052463 + 1617 | 5.389675 12.72918 0.42 0.672 -19.63441 30.41375 + 1619 | 15.88719 14.59833 1.09 0.277 -12.81141 44.5858 + 1620 | -12.46536 8.719275 -1.43 0.154 -29.60643 4.675708 + 1698 | -3.087481 9.014153 -0.34 0.732 -20.80825 14.63329 + 1699 | 4.37363 11.89837 0.37 0.713 -19.01718 27.76444 + 1700 | -3.269436 9.817897 -0.33 0.739 -22.57027 16.0314 + 1701 | 1.389214 8.947488 0.16 0.877 -16.2005 18.97893 + 1704 | 6.039897 8.166372 0.74 0.460 -10.01423 22.09403 + 1706 | 3.959064 9.959607 0.40 0.691 -15.62036 23.53848 + 1707 | 10.1323 10.99487 0.92 0.357 -11.48233 31.74693 + 1708 | 6.024815 10.37366 0.58 0.562 -14.36858 26.41821 + 1709 | 10.89512 10.44361 1.04 0.297 -9.635787 31.42603 + 1798 | 1.627634 8.710963 0.19 0.852 -15.4971 18.75236 + 1799 | -7.393682 9.203658 -0.80 0.422 -25.48699 10.69963 + 1800 | -5.226804 8.333155 -0.63 0.531 -21.60881 11.1552 + 1802 | 8.263588 10.25523 0.81 0.421 -11.89699 28.42416 + 1803 | .3204524 9.53634 0.03 0.973 -18.42687 19.06778 + 1804 | .0966988 9.762734 0.01 0.992 -19.09569 19.28909 + 1806 | 16.77542 13.53436 1.24 0.216 -9.83154 43.38238 + 1807 | -5.654549 8.36416 -0.68 0.499 -22.09751 10.78841 + 1808 | -9.400634 8.536533 -1.10 0.271 -26.18246 7.381189 + 1900 | 12.18444 17.15671 0.71 0.478 -21.54363 45.91252 + 1901 | -5.92698 8.282105 -0.72 0.475 -22.20863 10.35467 + 1902 | 6.403863 12.41004 0.52 0.606 -17.99282 30.80054 + 1905 | 70.47738 36.19594 1.95 0.052 -.6795888 141.6344 + 1906 | 10.28042 15.44728 0.67 0.506 -20.08713 40.64797 + 1907 | -2.725443 8.913971 -0.31 0.760 -20.24926 14.79838 + 1908 | 21.90372 17.77473 1.23 0.219 -13.03931 56.84676 + 1909 | 4.048417 17.25943 0.23 0.815 -29.8816 37.97843 + 1910 | 23.65627 18.39344 1.29 0.199 -12.50306 59.81561 + 1911 | 12.83681 13.30436 0.96 0.335 -13.31801 38.99162 + 1912 | -22.58856 11.59199 -1.95 0.052 -45.37704 .1999253 + 1914 | -3.859203 9.334772 -0.41 0.680 -22.21027 14.49186 + 1915 | 2.333983 9.119058 0.26 0.798 -15.59302 20.26098 + 1919 | 5.15811 9.587871 0.54 0.591 -13.69052 24.00674 + 1920 | 15.9946 11.50446 1.39 0.165 -6.62182 38.61101 + 1925 | 23.84639 12.61791 1.89 0.059 -.9589392 48.65171 + 1926 | 16.16719 10.9671 1.47 0.141 -5.392845 37.72723 + 1927 | -5.569679 8.889567 -0.63 0.531 -23.04553 11.90617 + 1929 | -2.118105 11.53331 -0.18 0.854 -24.79124 20.55503 + 1999 | -8.944337 8.651531 -1.03 0.302 -25.95223 8.063557 + 2000 | 5.02816 10.11485 0.50 0.619 -14.85646 24.91278 + 2001 | -.9997853 9.175783 -0.11 0.913 -19.0383 17.03873 + 2002 | 3.346065 8.934966 0.37 0.708 -14.21903 20.91116 + 2003 | 69.26749 23.62091 2.93 0.004 22.83156 115.7034 + 2004 | 6.282537 8.971676 0.70 0.484 -11.35473 23.9198 + 2005 | -14.96935 9.98702 -1.50 0.135 -34.60266 4.663962 + 2006 | 71.2924 27.88931 2.56 0.011 16.46529 126.1195 + 2007 | -3.481003 9.168618 -0.38 0.704 -21.50543 14.54342 + 2008 | 6.680485 8.553542 0.78 0.435 -10.13477 23.49574 + 2009 | 5.910343 9.800053 0.60 0.547 -13.35541 25.1761 + 2011 | 4.182108 9.265075 0.45 0.652 -14.03194 22.39616 + 2012 | -1.26932 8.951638 -0.14 0.887 -18.86719 16.32855 + 2013 | 5.020873 12.1918 0.41 0.681 -18.94677 28.98852 + 2014 | -7.645762 8.986455 -0.85 0.395 -25.31208 10.02056 + 2015 | -4.544778 10.76347 -0.42 0.673 -25.7045 16.61495 + 2030 | 62.94171 25.9126 2.43 0.016 12.00058 113.8828 + 2099 | 49.79099 47.79956 1.04 0.298 -44.17734 143.7593 + 2100 | 8.236497 12.3622 0.67 0.506 -16.06614 32.53914 + 2101 | 3.127532 8.397811 0.37 0.710 -13.38158 19.63664 + 2102 | -1.272062 8.056252 -0.16 0.875 -17.10971 14.56558 + 2103 | 1.854239 8.272686 0.22 0.823 -14.40889 18.11737 + 2104 | -.2624551 8.324749 -0.03 0.975 -16.62794 16.10303 + 2105 | 36.60934 26.85633 1.36 0.174 -16.18705 89.40573 + 9999 | -7.592592 8.422336 -0.90 0.368 -24.14992 8.964733 + | + house_administration | 2.984606 5.41309 0.55 0.582 -7.656893 13.6261 + house_agriculture | 9.453163 3.44903 2.74 0.006 2.672776 16.23355 + house_appropriations | .0189239 2.97329 0.01 0.995 -5.826216 5.864064 + house_armedservices | 4.509113 4.135276 1.09 0.276 -3.620353 12.63858 + house_budget | -4.255576 3.824447 -1.11 0.266 -11.77399 3.262839 + house_dc | 4.844432 4.908275 0.99 0.324 -4.80466 14.49352 + house_educlabor | .1506966 2.186891 0.07 0.945 -4.148474 4.449867 + house_energycommerce | 2.88702 2.041005 1.41 0.158 -1.125357 6.899397 + house_foreignaffairs | 6.063024 2.861046 2.12 0.035 .4385442 11.6875 + house_governmentop | .9597606 3.821459 0.25 0.802 -6.552779 8.4723 + house_intelligence | 11.35251 16.88077 0.67 0.502 -21.8331 44.53813 + house_interior | -5.100517 2.648519 -1.93 0.055 -10.30719 .1061605 + house_judiciary | 5.918441 1.936972 3.06 0.002 2.110581 9.726301 + house_mmf | -2.782303 3.99503 -0.70 0.487 -10.63606 5.071457 + house_pocs | -12.15068 5.847939 -2.08 0.038 -23.64704 -.6543172 + house_pwt | 5.151344 3.006711 1.71 0.087 -.7594981 11.06219 + house_rules | -.3613632 2.530689 -0.14 0.887 -5.336402 4.613675 + house_sst | -7.44755 5.362569 -1.39 0.166 -17.98973 3.09463 + house_smallbusi | 1.102931 3.513748 0.31 0.754 -5.804685 8.010547 + house_soc | -2.756161 4.569903 -0.60 0.547 -11.74005 6.227733 + house_veterans | -.8534598 2.973073 -0.29 0.774 -6.698173 4.991254 + house_waysandmeans | 1.90609 1.768124 1.08 0.282 -1.569835 5.382015 +house_naturalresources | -2.337538 2.534226 -0.92 0.357 -7.31953 2.644453 + house_bfs | 3.562128 3.324044 1.07 0.285 -2.972553 10.09681 + house_eeo | -10.47991 3.056681 -3.43 0.001 -16.48899 -4.470837 + house_govreform | 1.977175 3.093798 0.64 0.523 -4.104869 8.05922 + house_ir | .9196992 2.627768 0.35 0.727 -4.246184 6.085583 + house_natsecur | 1.211657 4.295558 0.28 0.778 -7.232905 9.65622 + house_oversight | 4.694632 3.660793 1.28 0.200 -2.502058 11.89132 + house_resources | -4.200985 2.207691 -1.90 0.058 -8.541046 .1390759 + house_science | -1.514586 4.454495 -0.34 0.734 -10.2716 7.24243 + house_transp | .628864 2.779523 0.23 0.821 -4.835352 6.09308 + house_homeland | -2.169928 3.400691 -0.64 0.524 -8.855288 4.515432 + _cons | 4.965032 8.430066 0.59 0.556 -11.60749 21.53755 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 403 1 0 1 1 + + +j = 3 k = 2 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6187 +----------------------+---------------------- NN matches = 3 + Number of obs | 2193 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 29.70309 50.99673 .5824509 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(56,208 missing values generated) +(58,378 missing values generated) +(2,170 real changes made) +reg numb_cosponsors sponsor_female i.v2 MV1_female femaleXMV1_female i.minor house_* [aw=wt] if sponsor_party==100 & tag_bill==1 & sample==1 & abs(MV1_female)<=29.7 +> 0309229791805, robust cluster(group_sponsor) +(sum of wgt is 5,049.47754883766) + +Linear regression Number of obs = 2,343 + F(192, 192) = . + Prob > F = . + R-squared = 0.1971 + Root MSE = 28.987 + + (Std. Err. adjusted for 193 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -1.599713 3.459431 -0.46 0.644 -8.423083 5.223658 + | + v2 | + 102 | 2.18466 3.985037 0.55 0.584 -5.675413 10.04473 + 103 | -.5522161 3.629955 -0.15 0.879 -7.711928 6.607495 + 104 | 2.985003 4.326511 0.69 0.491 -5.548592 11.5186 + 105 | 4.964642 4.292476 1.16 0.249 -3.501823 13.43111 + 106 | 2.99448 5.508398 0.54 0.587 -7.870266 13.85922 + 107 | .9980738 4.563431 0.22 0.827 -8.002822 9.998969 + 108 | 4.405721 4.635685 0.95 0.343 -4.737688 13.54913 + 109 | 2.350498 4.696322 0.50 0.617 -6.91251 11.61351 + 110 | 2.483848 3.881175 0.64 0.523 -5.171368 10.13906 + 111 | -2.706505 2.952637 -0.92 0.360 -8.530275 3.117266 + | + MV1_female | .1042177 .1384427 0.75 0.453 -.1688462 .3772816 + femaleXMV1_female | -.0235589 .2182122 -0.11 0.914 -.4539599 .4068422 + | + minor | + 103 | 1.707534 5.674151 0.30 0.764 -9.484141 12.89921 + 104 | -2.775847 5.873072 -0.47 0.637 -14.35987 8.808179 + 105 | 9.706036 7.607944 1.28 0.204 -5.299846 24.71192 + 107 | .097506 4.990178 0.02 0.984 -9.745103 9.940115 + 108 | 26.89262 5.651505 4.76 0.000 15.74561 38.03963 + 200 | 31.19496 32.6212 0.96 0.340 -33.14699 95.53691 + 202 | 8.484001 15.98895 0.53 0.596 -23.05256 40.02056 + 205 | 189.121 6.314566 29.95 0.000 176.6662 201.5759 + 206 | -5.343332 7.988295 -0.67 0.504 -21.09942 10.41275 + 207 | 50.84165 12.96364 3.92 0.000 25.27221 76.41108 + 208 | -1.319437 7.347638 -0.18 0.858 -15.81189 13.17302 + 300 | 7.631263 11.4619 0.67 0.506 -14.97615 30.23868 + 301 | 1.868211 6.329755 0.30 0.768 -10.61658 14.353 + 302 | 9.68616 6.615601 1.46 0.145 -3.362428 22.73475 + 321 | 3.723725 10.25404 0.36 0.717 -16.5013 23.94875 + 322 | -3.890257 6.168709 -0.63 0.529 -16.0574 8.276883 + 323 | 4.59754 6.93838 0.66 0.508 -9.087697 18.28278 + 324 | 5.959704 8.779712 0.68 0.498 -11.35737 23.27678 + 325 | 13.30544 9.784206 1.36 0.175 -5.992898 32.60377 + 331 | 16.69832 10.17107 1.64 0.102 -3.363055 36.7597 + 332 | 10.22757 8.377031 1.22 0.224 -6.295253 26.7504 + 333 | 36.30193 25.75908 1.41 0.160 -14.50519 87.10906 + 334 | 14.34281 10.27487 1.40 0.164 -5.923308 34.60892 + 335 | 10.22941 14.09919 0.73 0.469 -17.57979 38.03861 + 336 | 31.95944 22.55767 1.42 0.158 -12.53323 76.4521 + 341 | -2.745682 6.539797 -0.42 0.675 -15.64475 10.15339 + 342 | -6.919465 8.333301 -0.83 0.407 -23.35604 9.517109 + 343 | -1.724325 4.635065 -0.37 0.710 -10.86651 7.417862 + 344 | -4.181325 4.78694 -0.87 0.383 -13.62307 5.260419 + 398 | 5.58963 7.107333 0.79 0.433 -8.428849 19.60811 + 399 | -9.644031 6.830228 -1.41 0.160 -23.11595 3.827886 + 400 | 31.39062 34.7697 0.90 0.368 -37.18901 99.97025 + 401 | -1.646803 7.445164 -0.22 0.825 -16.33162 13.03801 + 402 | 2.486214 6.401466 0.39 0.698 -10.14001 15.11244 + 403 | 4.043051 7.614723 0.53 0.596 -10.9762 19.0623 + 404 | 17.54766 10.29444 1.70 0.090 -2.757056 37.85237 + 405 | 3.180674 9.061628 0.35 0.726 -14.69245 21.0538 + 498 | -3.43461 7.411522 -0.46 0.644 -18.05307 11.18385 + 499 | -.0299248 8.644831 -0.00 0.997 -17.08096 17.02111 + 500 | -10.77167 10.12549 -1.06 0.289 -30.74316 9.199809 + 501 | 4.866482 6.957075 0.70 0.485 -8.855629 18.58859 + 502 | -1.369824 5.093615 -0.27 0.788 -11.41645 8.676805 + 503 | .0875704 5.926066 0.01 0.988 -11.60098 11.77612 + 504 | 21.39136 16.56215 1.29 0.198 -11.27576 54.05848 + 505 | 23.58222 15.55497 1.52 0.131 -7.098357 54.26279 + 506 | 15.04318 8.343714 1.80 0.073 -1.413928 31.5003 + 508 | 9.405957 6.72339 1.40 0.163 -3.855235 22.66715 + 530 | 1.476887 7.480491 0.20 0.844 -13.27761 16.23138 + 600 | 6.828089 4.353711 1.57 0.118 -1.759154 15.41533 + 601 | 6.626258 4.738455 1.40 0.164 -2.719853 15.97237 + 602 | 12.0098 4.854372 2.47 0.014 2.435056 21.58455 + 603 | 12.02976 8.696725 1.38 0.168 -5.123631 29.18315 + 604 | -.1872591 6.363933 -0.03 0.977 -12.73946 12.36494 + 606 | -2.669008 11.51691 -0.23 0.817 -25.38491 20.0469 + 607 | .5301988 4.117891 0.13 0.898 -7.591915 8.652313 + 609 | -2.811015 5.774942 -0.49 0.627 -14.20149 8.579461 + 698 | -2.439843 5.940054 -0.41 0.682 -14.15598 9.276297 + 699 | 15.5806 6.715633 2.32 0.021 2.334711 28.82649 + 700 | 5.138168 9.359475 0.55 0.584 -13.32243 23.59876 + 701 | .9143922 7.992684 0.11 0.909 -14.85035 16.67913 + 703 | -4.031351 7.869146 -0.51 0.609 -19.55243 11.48973 + 704 | -13.96561 5.611935 -2.49 0.014 -25.03457 -2.896648 + 705 | -14.17605 6.760655 -2.10 0.037 -27.51075 -.8413613 + 707 | 80.64969 44.95835 1.79 0.074 -8.025999 169.3254 + 708 | -12.88008 5.645561 -2.28 0.024 -24.01537 -1.744797 + 709 | 17.61307 10.42404 1.69 0.093 -2.947266 38.17341 + 710 | 4.089448 9.760448 0.42 0.676 -15.16203 23.34092 + 711 | 46.2037 32.94809 1.40 0.162 -18.783 111.1904 + 798 | -4.311686 5.806061 -0.74 0.459 -15.76354 7.140168 + 799 | -5.178895 5.15065 -1.01 0.316 -15.33802 4.980229 + 800 | .8710132 10.67863 0.08 0.935 -20.19148 21.9335 + 801 | -7.001953 5.264143 -1.33 0.185 -17.38493 3.381024 + 802 | -5.446014 5.568806 -0.98 0.329 -16.42991 5.537879 + 803 | .3656954 4.922357 0.07 0.941 -9.343145 10.07454 + 805 | 3.028191 6.094934 0.50 0.620 -8.993435 15.04982 + 806 | -4.243445 4.878701 -0.87 0.386 -13.86618 5.379288 + 807 | 5.114705 5.423996 0.94 0.347 -5.583567 15.81298 + 898 | 3.463652 10.92472 0.32 0.752 -18.08422 25.01152 + 899 | 29.84097 7.219605 4.13 0.000 15.60105 44.0809 + 1000 | -1.532898 7.921779 -0.19 0.847 -17.15779 14.09199 + 1001 | -5.302757 10.45387 -0.51 0.613 -25.92194 15.31642 + 1002 | -11.71831 7.273881 -1.61 0.109 -26.06528 2.628672 + 1003 | -3.816329 7.552949 -0.51 0.614 -18.71374 11.08108 + 1005 | -2.974346 7.954856 -0.37 0.709 -18.66448 12.71578 + 1006 | -3.656174 7.672228 -0.48 0.634 -18.78885 11.4765 + 1007 | 6.65707 8.285895 0.80 0.423 -9.685999 23.00014 + 1010 | -14.96801 8.633705 -1.73 0.085 -31.9971 2.06108 + 1200 | -10.70139 6.923228 -1.55 0.124 -24.35674 2.953958 + 1201 | 5.745756 9.959771 0.58 0.565 -13.89886 25.39037 + 1202 | -7.994276 5.959499 -1.34 0.181 -19.74877 3.760218 + 1203 | -2.591544 12.05432 -0.21 0.830 -26.36744 21.18435 + 1204 | 6.716789 11.4364 0.59 0.558 -15.84033 29.27391 + 1205 | 22.93689 19.55412 1.17 0.242 -15.63159 61.50536 + 1206 | .6025968 6.463069 0.09 0.926 -12.14514 13.35033 + 1207 | 7.451977 8.9597 0.83 0.407 -10.2201 25.12406 + 1208 | 15.95876 9.436203 1.69 0.092 -2.65317 34.5707 + 1209 | 13.13532 7.594253 1.73 0.085 -1.843553 28.1142 + 1210 | 11.88819 13.83099 0.86 0.391 -15.39201 39.16839 + 1211 | -.4313753 7.51842 -0.06 0.954 -15.26068 14.39793 + 1299 | 21.56767 5.513738 3.91 0.000 10.69239 32.44294 + 1300 | -.7438374 6.734807 -0.11 0.912 -14.02755 12.53987 + 1301 | 9.525017 4.728172 2.01 0.045 .1991879 18.85085 + 1302 | 5.258004 8.044442 0.65 0.514 -10.60883 21.12483 + 1303 | 7.299804 7.148302 1.02 0.308 -6.799482 21.39909 + 1304 | 39.1416 22.77706 1.72 0.087 -5.78379 84.067 + 1305 | 44.91371 27.24201 1.65 0.101 -8.818342 98.64577 + 1399 | -4.003994 4.102129 -0.98 0.330 -12.09502 4.087031 + 1400 | -4.30866 6.007954 -0.72 0.474 -16.15873 7.541408 + 1401 | -2.326523 4.599514 -0.51 0.614 -11.39859 6.745541 + 1403 | 10.78603 6.212849 1.74 0.084 -1.468175 23.04023 + 1404 | 8.612669 5.932369 1.45 0.148 -3.088316 20.31365 + 1405 | 7.445905 11.73519 0.63 0.527 -15.70054 30.59235 + 1406 | .7489386 6.552053 0.11 0.909 -12.17431 13.67219 + 1407 | 8.799614 7.392179 1.19 0.235 -5.780693 23.37992 + 1408 | -1.630289 6.539028 -0.25 0.803 -14.52784 11.26727 + 1409 | 27.59823 15.45989 1.79 0.076 -2.894813 58.09127 + 1410 | -.0048536 5.947222 -0.00 0.999 -11.73513 11.72543 + 1500 | -8.949167 5.849844 -1.53 0.128 -20.48738 2.589044 + 1501 | 19.19452 12.9131 1.49 0.139 -6.275235 44.66428 + 1502 | 25.20426 13.51436 1.86 0.064 -1.451423 51.85994 + 1504 | 14.65597 9.482029 1.55 0.124 -4.046355 33.35829 + 1505 | 5.590289 6.653582 0.84 0.402 -7.533213 18.71379 + 1507 | .6637273 8.891316 0.07 0.941 -16.87347 18.20093 + 1520 | -3.286545 5.807868 -0.57 0.572 -14.74196 8.168873 + 1521 | -.3005289 6.393312 -0.05 0.963 -12.91067 12.30962 + 1522 | -.7698777 7.797421 -0.10 0.921 -16.14948 14.60973 + 1523 | -7.396344 6.00054 -1.23 0.219 -19.23179 4.439099 + 1524 | 23.72751 17.3715 1.37 0.174 -10.53597 57.99099 + 1525 | 18.02361 12.65651 1.42 0.156 -6.940049 42.98728 + 1526 | -.613281 7.06435 -0.09 0.931 -14.54698 13.32042 + 1599 | -7.515077 5.790618 -1.30 0.196 -18.93647 3.906319 + 1600 | -2.613982 7.264103 -0.36 0.719 -16.94167 11.71371 + 1602 | .4553218 9.940613 0.05 0.964 -19.15151 20.06215 + 1603 | -16.12404 11.60489 -1.39 0.166 -39.01349 6.765408 + 1604 | 3.976664 10.70283 0.37 0.711 -17.13356 25.08688 + 1605 | 2.821644 9.040229 0.31 0.755 -15.00927 20.65256 + 1606 | 23.61092 16.48965 1.43 0.154 -8.913198 56.13505 + 1608 | 7.176956 7.020399 1.02 0.308 -6.670054 21.02397 + 1609 | 9.738534 6.756563 1.44 0.151 -3.588086 23.06515 + 1610 | 17.95224 7.726212 2.32 0.021 2.713082 33.19139 + 1611 | -2.126694 6.411463 -0.33 0.740 -14.77264 10.51925 + 1612 | -2.558224 7.293545 -0.35 0.726 -16.94399 11.82754 + 1614 | -8.371702 5.569015 -1.50 0.134 -19.35601 2.612603 + 1615 | 9.667015 6.247058 1.55 0.123 -2.654659 21.98869 + 1616 | -5.482048 6.750348 -0.81 0.418 -18.79641 7.832315 + 1617 | -9.273998 7.579356 -1.22 0.223 -24.22349 5.675496 + 1619 | 19.94966 16.88868 1.18 0.239 -13.36152 53.26085 + 1620 | -7.323532 9.401838 -0.78 0.437 -25.86768 11.22062 + 1698 | -.0810006 9.597748 -0.01 0.993 -19.01156 18.84956 + 1699 | 9.970817 10.11851 0.99 0.326 -9.986895 29.92853 + 1701 | .6725844 5.911473 0.11 0.910 -10.98718 12.33235 + 1706 | -1.637745 6.590152 -0.25 0.804 -14.63614 11.36065 + 1707 | .3241964 10.66132 0.03 0.976 -20.70415 21.35254 + 1708 | 25.40511 16.20136 1.57 0.119 -6.550403 57.36063 + 1709 | 10.44754 10.86797 0.96 0.338 -10.9884 31.88347 + 1798 | 2.057365 5.130598 0.40 0.689 -8.062209 12.17694 + 1800 | 5.965677 16.69364 0.36 0.721 -26.96081 38.89216 + 1802 | -.9965654 6.630089 -0.15 0.881 -14.07373 12.0806 + 1803 | -8.071737 9.649993 -0.84 0.404 -27.10535 10.96188 + 1804 | 10.18894 18.32306 0.56 0.579 -25.9514 46.32928 + 1806 | 24.24069 19.54355 1.24 0.216 -14.30695 62.78833 + 1807 | -1.62652 8.534716 -0.19 0.849 -18.46036 15.20732 + 1900 | 45.32692 26.97585 1.68 0.095 -7.880158 98.534 + 1901 | -10.90133 12.01192 -0.91 0.365 -34.5936 12.79094 + 1902 | 1.668603 8.73473 0.19 0.849 -15.55975 18.89695 + 1905 | 97.4651 18.83473 5.17 0.000 60.31553 134.6147 + 1906 | 14.17695 13.82055 1.03 0.306 -13.08264 41.43655 + 1907 | 14.75298 7.658053 1.93 0.056 -.3517403 29.85769 + 1908 | 11.45545 24.90423 0.46 0.646 -37.66556 60.57646 + 1909 | 28.02491 12.9261 2.17 0.031 2.529513 53.52031 + 1911 | -20.46379 22.54751 -0.91 0.365 -64.93643 24.00885 + 1912 | -41.86702 19.22265 -2.18 0.031 -79.78171 -3.952333 + 1919 | -8.67182 4.667255 -1.86 0.065 -17.8775 .5338573 + 1920 | -4.331403 7.133037 -0.61 0.544 -18.40058 9.737774 + 1925 | 63.00449 12.28584 5.13 0.000 38.77193 87.23704 + 1926 | 45.32663 26.45999 1.71 0.088 -6.86295 97.51621 + 1927 | -5.94891 7.130052 -0.83 0.405 -20.0122 8.114379 + 1929 | -3.992864 8.214459 -0.49 0.627 -20.19503 12.20931 + 1999 | -5.309537 7.881943 -0.67 0.501 -20.85585 10.23678 + 2000 | 17.0018 8.873421 1.92 0.057 -.5001082 34.5037 + 2001 | -6.476338 4.705356 -1.38 0.170 -15.75716 2.804489 + 2002 | -1.430927 6.660098 -0.21 0.830 -14.56728 11.70543 + 2003 | 39.71141 20.09405 1.98 0.050 .0779697 79.34485 + 2004 | 14.36262 11.03295 1.30 0.195 -7.398724 36.12396 + 2005 | -20.98395 15.7095 -1.34 0.183 -51.96931 10.00142 + 2006 | 47.74495 24.50983 1.95 0.053 -.5981548 96.08806 + 2007 | -2.647816 7.389876 -0.36 0.721 -17.22358 11.92795 + 2008 | 2.14455 6.309987 0.34 0.734 -10.30125 14.59035 + 2011 | .5577865 7.099982 0.08 0.937 -13.44619 14.56177 + 2012 | 5.612763 8.456901 0.66 0.508 -11.0676 22.29313 + 2013 | 27.79621 16.11845 1.72 0.086 -3.995771 59.58818 + 2014 | 12.0451 9.128206 1.32 0.189 -5.959336 30.04955 + 2015 | 15.17666 6.8358 2.22 0.028 1.69375 28.65957 + 2030 | 58.99687 22.65487 2.60 0.010 14.31248 103.6813 + 2099 | 10.10875 7.862107 1.29 0.200 -5.398447 25.61594 + 2100 | 42.41264 15.99428 2.65 0.009 10.86558 73.95971 + 2101 | 4.034322 5.341325 0.76 0.451 -6.500888 14.56953 + 2102 | 1.128606 5.011861 0.23 0.822 -8.756771 11.01398 + 2103 | 6.217661 5.878133 1.06 0.291 -5.376348 17.81167 + 2104 | 6.962116 6.498043 1.07 0.285 -5.854602 19.77883 + 9999 | -4.213686 5.920577 -0.71 0.478 -15.89141 7.46404 + | + house_administration | .4370744 5.958461 0.07 0.942 -11.31537 12.18952 + house_agriculture | -.0230402 4.014285 -0.01 0.995 -7.940802 7.894721 + house_appropriations | 4.658914 5.823884 0.80 0.425 -6.828093 16.14592 + house_armedservices | 3.12161 5.44926 0.57 0.567 -7.626491 13.86971 + house_budget | -9.193434 4.660279 -1.97 0.050 -18.38535 -.0015167 + house_dc | -11.92212 7.887119 -1.51 0.132 -27.47864 3.634407 + house_educlabor | 4.411207 3.517511 1.25 0.211 -2.526719 11.34913 + house_energycommerce | 7.442418 3.906642 1.91 0.058 -.2630286 15.14786 + house_foreignaffairs | 17.05762 10.50456 1.62 0.106 -3.661542 37.77678 + house_governmentop | -5.535581 6.153905 -0.90 0.370 -17.67352 6.60236 + house_intelligence | 29.64134 18.35257 1.62 0.108 -6.5572 65.83987 + house_interior | -4.206903 4.320184 -0.97 0.331 -12.72802 4.314212 + house_judiciary | 2.480276 3.623452 0.68 0.494 -4.666609 9.62716 + house_mmf | -7.856044 5.086246 -1.54 0.124 -17.88814 2.17605 + house_pocs | -8.635444 5.070223 -1.70 0.090 -18.63593 1.365047 + house_pwt | 15.53008 5.148118 3.02 0.003 5.37595 25.68421 + house_rules | 2.297087 5.340521 0.43 0.668 -8.236537 12.83071 + house_sst | -7.670931 6.169616 -1.24 0.215 -19.83986 4.497997 + house_smallbusi | 1.395574 4.8906 0.29 0.776 -8.250629 11.04178 + house_soc | 8.095393 6.158384 1.31 0.190 -4.051381 20.24217 + house_veterans | 5.716076 3.944173 1.45 0.149 -2.063397 13.49555 + house_waysandmeans | 2.854802 2.572242 1.11 0.268 -2.21868 7.928283 +house_naturalresources | -5.247459 3.292109 -1.59 0.113 -11.7408 1.245886 + house_bfs | -1.202576 3.793921 -0.32 0.752 -8.685693 6.280541 + house_eeo | -5.704931 4.052193 -1.41 0.161 -13.69746 2.2876 + house_govreform | 5.964405 5.69793 1.05 0.297 -5.274171 17.20298 + house_ir | 2.499703 5.837862 0.43 0.669 -9.014875 14.01428 + house_natsecur | .0168341 5.737934 0.00 0.998 -11.30065 11.33431 + house_oversight | 4.067907 6.352425 0.64 0.523 -8.461594 16.59741 + house_resources | -4.175135 3.862864 -1.08 0.281 -11.79423 3.443964 + house_science | 5.86084 5.150605 1.14 0.257 -4.298195 16.01988 + house_transp | 9.758256 5.460464 1.79 0.076 -1.011943 20.52846 + house_homeland | 2.414578 4.506891 0.54 0.593 -6.474799 11.30395 + _cons | 4.635607 6.664116 0.70 0.488 -8.508671 17.77989 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 193 1 0 1 1 + + +j = 3 k = 3 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 13.03771 22.75762 .5728944 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(57,072 missing values generated) +(60,750 missing values generated) +(3,678 real changes made) +reg numb_cosponsors sponsor_female i.v2 MV1_female femaleXMV1_female i.minor house_* [aw=wt] if sponsor_party==200 & tag_bill==1 & sample==1 & abs(MV1_female)<=13.0 +> 3771312569283, robust cluster(group_sponsor) +(sum of wgt is 2,126.29709756374) +note: house_dc omitted because of collinearity + +Linear regression Number of obs = 1,200 + F(96, 97) = . + Prob > F = . + R-squared = 0.3950 + Root MSE = 27.875 + + (Std. Err. adjusted for 98 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 6.734195 3.946007 1.71 0.091 -1.097537 14.56593 + | + v2 | + 103 | 1.745844 5.550523 0.31 0.754 -9.270409 12.7621 + 104 | -1.498122 5.851462 -0.26 0.798 -13.11166 10.11541 + 105 | -1.792024 4.837174 -0.37 0.712 -11.39247 7.808427 + 106 | -.6170541 4.781894 -0.13 0.898 -10.10779 8.873681 + 107 | 9.871051 5.611517 1.76 0.082 -1.266258 21.00836 + 108 | 17.82979 5.736815 3.11 0.002 6.443797 29.21578 + 109 | 3.54788 4.873381 0.73 0.468 -6.124432 13.22019 + 110 | -3.541677 4.533038 -0.78 0.437 -12.5385 5.455149 + 111 | -3.89998 5.027891 -0.78 0.440 -13.87895 6.078993 + | + MV1_female | -.251153 .3371329 -0.74 0.458 -.9202685 .4179625 + femaleXMV1_female | -.214742 .5811164 -0.37 0.713 -1.368097 .9386133 + | + minor | + 101 | -26.18238 16.31308 -1.60 0.112 -58.55933 6.194568 + 104 | -40.31651 14.45225 -2.79 0.006 -69.00022 -11.63279 + 105 | -35.03035 13.56315 -2.58 0.011 -61.94944 -8.111248 + 107 | -18.12251 15.37196 -1.18 0.241 -48.6316 12.38658 + 108 | -39.10951 15.2734 -2.56 0.012 -69.42297 -8.796042 + 200 | -25.70909 14.67017 -1.75 0.083 -54.82532 3.407138 + 202 | 70.1604 15.20235 4.62 0.000 39.98795 100.3329 + 204 | -40.35049 17.17263 -2.35 0.021 -74.4334 -6.267585 + 206 | 2.541615 19.97596 0.13 0.899 -37.10513 42.18836 + 207 | -26.72013 15.92377 -1.68 0.097 -58.32441 4.884152 + 208 | -30.05701 18.1598 -1.66 0.101 -66.09919 5.985172 + 209 | -41.8939 15.7922 -2.65 0.009 -73.23705 -10.55075 + 300 | 9.336699 55.06612 0.17 0.866 -99.9543 118.6277 + 301 | -27.86078 17.20185 -1.62 0.109 -62.0017 6.280139 + 302 | -3.853263 15.39061 -0.25 0.803 -34.39937 26.69285 + 321 | -21.84913 19.25972 -1.13 0.259 -60.07434 16.37608 + 322 | -20.82818 17.12889 -1.22 0.227 -54.82427 13.16792 + 323 | -31.55836 16.25186 -1.94 0.055 -63.81382 .6970893 + 324 | -43.31789 14.23242 -3.04 0.003 -71.5653 -15.07047 + 325 | 12.0155 31.26385 0.38 0.702 -50.0346 74.06559 + 331 | 19.70305 19.52379 1.01 0.315 -19.04627 58.45236 + 332 | -16.57889 15.40088 -1.08 0.284 -47.14537 13.98759 + 333 | -7.731123 16.63519 -0.46 0.643 -40.74738 25.28513 + 334 | -7.529434 20.46935 -0.37 0.714 -48.15543 33.09656 + 335 | -42.5846 14.13151 -3.01 0.003 -70.63174 -14.53747 + 336 | -23.21913 15.25729 -1.52 0.131 -53.50062 7.062361 + 341 | -21.15091 16.9775 -1.25 0.216 -54.84654 12.54472 + 343 | -20.26822 13.58503 -1.49 0.139 -47.23075 6.694312 + 398 | -.0058214 21.83115 -0.00 1.000 -43.33461 43.32296 + 399 | -15.18104 18.83759 -0.81 0.422 -52.56844 22.20637 + 400 | -33.43934 15.55287 -2.15 0.034 -64.30748 -2.571206 + 401 | -8.875397 20.56168 -0.43 0.667 -49.68464 31.93385 + 402 | -33.47044 14.90725 -2.25 0.027 -63.0572 -3.883687 + 403 | -8.364548 15.86626 -0.53 0.599 -39.85468 23.12558 + 499 | 86.01991 59.93201 1.44 0.154 -32.92854 204.9684 + 500 | -30.41643 16.72795 -1.82 0.072 -63.61678 2.783929 + 503 | -14.30711 16.25006 -0.88 0.381 -46.55897 17.94475 + 505 | -23.18061 14.8886 -1.56 0.123 -52.73035 6.369133 + 506 | -29.07935 15.35786 -1.89 0.061 -59.56045 1.401752 + 508 | 4.54147 22.92499 0.20 0.843 -40.95829 50.04123 + 530 | -26.97266 15.52245 -1.74 0.085 -57.78043 3.835115 + 599 | -24.21427 14.79154 -1.64 0.105 -53.57138 5.142833 + 600 | -34.22464 14.66173 -2.33 0.022 -63.32411 -5.125168 + 601 | -21.14386 14.32059 -1.48 0.143 -49.56626 7.278549 + 602 | -16.64343 14.96139 -1.11 0.269 -46.33765 13.0508 + 603 | 4.8458 16.67246 0.29 0.772 -28.24441 37.93601 + 604 | -21.08262 14.21583 -1.48 0.141 -49.29711 7.131869 + 606 | -10.8725 17.49305 -0.62 0.536 -45.59137 23.84637 + 607 | -28.9659 14.19242 -2.04 0.044 -57.13394 -.7978683 + 609 | -30.73981 14.12994 -2.18 0.032 -58.78382 -2.695798 + 699 | -25.69934 14.4471 -1.78 0.078 -54.37284 2.974152 + 700 | -25.06754 16.26066 -1.54 0.126 -57.34045 7.205372 + 701 | -38.76223 15.29266 -2.53 0.013 -69.11392 -8.410538 + 703 | -26.334 14.41642 -1.83 0.071 -54.94659 2.278598 + 704 | -36.50536 13.90694 -2.62 0.010 -64.10678 -8.903937 + 705 | -26.13014 16.19851 -1.61 0.110 -58.2797 6.019426 + 707 | -40.60673 14.76431 -2.75 0.007 -69.90979 -11.30367 + 709 | -3.186463 18.04024 -0.18 0.860 -38.99134 32.61841 + 710 | -26.95558 14.94537 -1.80 0.074 -56.618 2.706848 + 711 | -32.9322 13.41271 -2.46 0.016 -59.55271 -6.31169 + 798 | -26.10327 19.91465 -1.31 0.193 -65.62834 13.42179 + 800 | -10.55657 15.31744 -0.69 0.492 -40.95745 19.84432 + 801 | -31.43012 17.17431 -1.83 0.070 -65.51638 2.65613 + 802 | -32.93849 14.28738 -2.31 0.023 -61.29499 -4.581995 + 803 | -26.66702 14.53092 -1.84 0.070 -55.50687 2.172844 + 805 | -38.95141 15.43362 -2.52 0.013 -69.58287 -8.319942 + 806 | -31.58391 13.50336 -2.34 0.021 -58.38433 -4.783488 + 807 | -27.29099 14.78462 -1.85 0.068 -56.63437 2.052393 + 1000 | -39.85919 14.30983 -2.79 0.006 -68.26025 -11.45813 + 1001 | -30.17171 14.92915 -2.02 0.046 -59.80193 -.5414895 + 1002 | -33.5099 14.47443 -2.32 0.023 -62.23763 -4.782167 + 1003 | -26.73253 15.12361 -1.77 0.080 -56.74871 3.28365 + 1005 | -23.34163 15.0582 -1.55 0.124 -53.22799 6.544739 + 1006 | 18.67766 27.44052 0.68 0.498 -35.78417 73.13949 + 1007 | -31.73947 15.02244 -2.11 0.037 -61.55486 -1.924082 + 1010 | -31.12604 14.41471 -2.16 0.033 -59.73526 -2.51682 + 1202 | -26.45603 15.12316 -1.75 0.083 -56.47132 3.559265 + 1203 | -14.01926 17.516 -0.80 0.425 -48.78368 20.74516 + 1204 | -11.48979 18.71457 -0.61 0.541 -48.63304 25.65345 + 1205 | -36.47556 17.14953 -2.13 0.036 -70.51263 -2.438487 + 1206 | -21.47285 15.17135 -1.42 0.160 -51.58378 8.638082 + 1207 | -33.9775 15.24845 -2.23 0.028 -64.24144 -3.713554 + 1208 | -25.60248 14.6537 -1.75 0.084 -54.68602 3.481054 + 1209 | -20.52524 16.00571 -1.28 0.203 -52.29215 11.24168 + 1210 | -28.73089 15.19575 -1.89 0.062 -58.89024 1.428471 + 1211 | 5.249348 15.06085 0.35 0.728 -24.64227 35.14097 + 1299 | -43.44506 15.51265 -2.80 0.006 -74.23338 -12.65674 + 1300 | -25.29315 16.30043 -1.55 0.124 -57.64499 7.058692 + 1302 | -31.44077 15.40514 -2.04 0.044 -62.01571 -.8658386 + 1303 | -12.79601 14.4067 -0.89 0.377 -41.38933 15.79732 + 1304 | -37.9626 14.85247 -2.56 0.012 -67.44065 -8.484556 + 1399 | -37.2013 14.82175 -2.51 0.014 -66.61838 -7.784225 + 1400 | -17.01295 14.70242 -1.16 0.250 -46.19318 12.16728 + 1401 | -26.31293 18.11464 -1.45 0.150 -62.26548 9.639622 + 1404 | -32.49193 15.62343 -2.08 0.040 -63.50012 -1.483744 + 1405 | -43.91229 15.22135 -2.88 0.005 -74.12246 -13.70211 + 1406 | -46.21862 14.89738 -3.10 0.003 -75.78579 -16.65145 + 1407 | -1.491128 17.33567 -0.09 0.932 -35.89763 32.91538 + 1409 | -24.46303 22.33741 -1.10 0.276 -68.79661 19.87055 + 1410 | 35.47021 14.72958 2.41 0.018 6.236071 64.70436 + 1499 | -44.77122 15.40989 -2.91 0.005 -75.35558 -14.18685 + 1500 | -40.13074 14.88297 -2.70 0.008 -69.66932 -10.59215 + 1501 | -39.20777 14.51842 -2.70 0.008 -68.02281 -10.39272 + 1502 | -30.65987 16.15944 -1.90 0.061 -62.73189 1.412155 + 1504 | -24.49542 15.79802 -1.55 0.124 -55.85011 6.859271 + 1505 | -33.32519 15.10206 -2.21 0.030 -63.29859 -3.351783 + 1507 | 65.3836 15.53549 4.21 0.000 34.54996 96.21725 + 1520 | -34.32678 14.89824 -2.30 0.023 -63.89566 -4.757901 + 1521 | -17.78064 14.91696 -1.19 0.236 -47.38668 11.8254 + 1523 | -33.61184 14.34758 -2.34 0.021 -62.08782 -5.135855 + 1524 | -35.67008 14.55332 -2.45 0.016 -64.5544 -6.785767 + 1525 | -25.93115 17.20239 -1.51 0.135 -60.07314 8.210837 + 1526 | -23.21427 14.79154 -1.57 0.120 -52.57138 6.142833 + 1599 | -27.47902 16.19292 -1.70 0.093 -59.61748 4.659438 + 1600 | -3.1658 24.51775 -0.13 0.898 -51.82674 45.49514 + 1603 | -130.119 66.87248 -1.95 0.055 -262.8424 2.604363 + 1604 | -27.89718 15.26108 -1.83 0.071 -58.1862 2.391841 + 1605 | 5.54669 16.10172 0.34 0.731 -26.41077 37.50414 + 1608 | -22.48761 16.04817 -1.40 0.164 -54.33878 9.363556 + 1609 | -4.285025 15.5153 -0.28 0.783 -35.07861 26.50856 + 1610 | -19.83927 17.06555 -1.16 0.248 -53.70967 14.03113 + 1611 | -36.26943 15.99371 -2.27 0.026 -68.01252 -4.526341 + 1612 | -32.182 14.78015 -2.18 0.032 -61.51651 -2.847494 + 1615 | -36.71933 17.09763 -2.15 0.034 -70.65339 -2.785281 + 1616 | -40.28548 15.738 -2.56 0.012 -71.52106 -9.049894 + 1617 | -11.93538 16.37201 -0.73 0.468 -44.42929 20.55853 + 1619 | -15.40768 26.295 -0.59 0.559 -67.59599 36.78062 + 1698 | -8.493683 14.4541 -0.59 0.558 -37.18107 20.19371 + 1699 | -31.81908 16.15934 -1.97 0.052 -63.89089 .2527358 + 1701 | -31.62705 15.57432 -2.03 0.045 -62.53777 -.7163309 + 1704 | -5.659902 16.0903 -0.35 0.726 -37.59469 26.27489 + 1706 | -31.45319 19.46243 -1.62 0.109 -70.08072 7.174337 + 1707 | -35.0816 15.44733 -2.27 0.025 -65.74027 -4.422933 + 1709 | -14.63126 18.8128 -0.78 0.439 -51.96946 22.70695 + 1798 | -32.35907 15.38861 -2.10 0.038 -62.90121 -1.816941 + 1800 | -34.15694 14.69693 -2.32 0.022 -63.32627 -4.987614 + 1802 | -13.36979 31.83749 -0.42 0.675 -76.55839 49.81882 + 1803 | -40.9837 15.6114 -2.63 0.010 -71.96802 -9.999389 + 1804 | -35.10951 15.2734 -2.30 0.024 -65.42297 -4.796042 + 1806 | -30.81751 14.1034 -2.19 0.031 -58.80886 -2.826162 + 1807 | -36.47742 14.32818 -2.55 0.012 -64.91488 -8.039958 + 1808 | -37.95025 15.41726 -2.46 0.016 -68.54924 -7.351257 + 1900 | -35.5469 16.42547 -2.16 0.033 -68.1469 -2.946897 + 1901 | -36.17769 15.62889 -2.31 0.023 -67.19671 -5.158669 + 1902 | -20.90897 16.43292 -1.27 0.206 -53.52378 11.70583 + 1905 | -35.9155 16.39261 -2.19 0.031 -68.45029 -3.380712 + 1906 | -37.07986 16.01724 -2.31 0.023 -68.86965 -5.290072 + 1907 | -26.81133 15.62717 -1.72 0.089 -57.82693 4.204271 + 1909 | -52.15215 14.92083 -3.50 0.001 -81.76587 -22.53843 + 1910 | -28.07149 16.97823 -1.65 0.101 -61.76858 5.625598 + 1914 | -35.9155 16.39261 -2.19 0.031 -68.45029 -3.380712 + 1915 | -16.35879 17.20517 -0.95 0.344 -50.5063 17.78871 + 1919 | -32.03759 18.74145 -1.71 0.091 -69.23418 5.158987 + 1925 | -8.824902 20.31193 -0.43 0.665 -49.13846 31.48866 + 1926 | -27.64785 15.64988 -1.77 0.080 -58.70852 3.412822 + 1927 | -31.30311 17.0592 -1.83 0.070 -65.16089 2.554676 + 1929 | -37.00263 15.79694 -2.34 0.021 -68.35519 -5.650064 + 2000 | -16.08769 19.14043 -0.84 0.403 -54.07616 21.90077 + 2001 | -32.87168 17.66769 -1.86 0.066 -67.93714 2.193789 + 2002 | -23.01017 15.35706 -1.50 0.137 -53.48968 7.469335 + 2003 | 125.9555 77.66256 1.62 0.108 -28.18322 280.0941 + 2004 | -31.03008 14.27655 -2.17 0.032 -59.36508 -2.695067 + 2005 | -34.69174 14.47638 -2.40 0.018 -63.42335 -5.960137 + 2006 | 92.93825 65.49149 1.42 0.159 -37.04423 222.9207 + 2007 | -33.87319 18.78349 -1.80 0.074 -71.15322 3.406839 + 2008 | -23.79157 14.25552 -1.67 0.098 -52.08483 4.501683 + 2009 | -20.70069 15.36323 -1.35 0.181 -51.19246 9.79107 + 2011 | -31.19761 17.26237 -1.81 0.074 -65.45864 3.063415 + 2012 | -46.2425 16.06658 -2.88 0.005 -78.13021 -14.35478 + 2013 | -25.66946 14.83925 -1.73 0.087 -55.12126 3.782333 + 2014 | -39.85115 14.3712 -2.77 0.007 -68.374 -11.3283 + 2015 | -48.76297 14.66536 -3.33 0.001 -77.86964 -19.6563 + 2100 | -21.66651 16.39168 -1.32 0.189 -54.19947 10.86644 + 2101 | -18.58124 17.39149 -1.07 0.288 -53.09854 15.93606 + 2102 | -31.31264 14.00691 -2.24 0.028 -59.11248 -3.512808 + 2103 | -27.62181 14.38947 -1.92 0.058 -56.18093 .9373112 + 2104 | -33.37154 14.25904 -2.34 0.021 -61.6718 -5.071288 + 2105 | 97.29623 83.43499 1.17 0.246 -68.29913 262.8916 + | + house_administration | 6.600537 5.990339 1.10 0.273 -5.288629 18.4897 + house_agriculture | 8.15416 3.552435 2.30 0.024 1.10356 15.20476 + house_appropriations | -7.920815 7.885278 -1.00 0.318 -23.57091 7.729279 + house_armedservices | -2.958906 7.863082 -0.38 0.708 -18.56495 12.64714 + house_budget | 7.727672 8.928839 0.87 0.389 -9.993602 25.44895 + house_dc | 0 (omitted) + house_educlabor | -9.340461 4.182179 -2.23 0.028 -17.64093 -1.039993 + house_energycommerce | 2.977661 3.964509 0.75 0.454 -4.890791 10.84611 + house_foreignaffairs | 1.502359 8.498336 0.18 0.860 -15.36448 18.3692 + house_governmentop | 7.969628 8.985622 0.89 0.377 -9.864345 25.8036 + house_intelligence | 99.13606 65.41519 1.52 0.133 -30.69498 228.9671 + house_interior | -11.49752 6.799613 -1.69 0.094 -24.99287 1.997827 + house_judiciary | 4.275569 3.915332 1.09 0.278 -3.495281 12.04642 + house_mmf | -19.55481 8.707937 -2.25 0.027 -36.83765 -2.271963 + house_pocs | -21.061 19.24223 -1.09 0.276 -59.25151 17.12951 + house_pwt | 3.862289 9.357758 0.41 0.681 -14.71027 22.43485 + house_rules | .4169196 4.716065 0.09 0.930 -8.943163 9.777003 + house_sst | -17.11591 14.97935 -1.14 0.256 -46.84578 12.61396 + house_smallbusi | -10.625 8.508909 -1.25 0.215 -27.51283 6.262833 + house_soc | 14.22047 9.56819 1.49 0.140 -4.769743 33.21067 + house_veterans | -13.43381 9.930847 -1.35 0.179 -33.14379 6.27617 + house_waysandmeans | .6896967 3.436407 0.20 0.841 -6.13062 7.510014 +house_naturalresources | .1616412 7.446499 0.02 0.983 -14.6176 14.94088 + house_bfs | 5.866988 4.670637 1.26 0.212 -3.402933 15.13691 + house_eeo | -5.75476 8.972757 -0.64 0.523 -23.5632 12.05368 + house_govreform | -6.377921 6.767728 -0.94 0.348 -19.80999 7.054145 + house_ir | -3.121781 5.148612 -0.61 0.546 -13.34035 7.096789 + house_natsecur | 9.667628 15.669 0.62 0.539 -21.43101 40.76626 + house_oversight | 21.35938 8.257894 2.59 0.011 4.969748 37.74902 + house_resources | -4.715578 5.924623 -0.80 0.428 -16.47431 7.043158 + house_science | -13.61408 7.776604 -1.75 0.083 -29.04848 1.820326 + house_transp | -3.356942 5.114556 -0.66 0.513 -13.50792 6.794037 + house_homeland | 6.357701 9.100888 0.70 0.486 -11.70504 24.42044 + _cons | 33.56139 15.48529 2.17 0.033 2.827372 64.29541 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 98 1 0 1 1 + + +j = 4 k = 1 + + +rdbwselect_2014 numb_cosponsors MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11990 +----------------------+---------------------- NN matches = 3 + Number of obs | 6151 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 25.22792 46.13311 .5468506 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(6,677 missing values generated) +(54,574 missing values generated) +(47,897 real changes made) +reg numb_cosponsors sponsor_female i.v2 i.minor house_* [aw=wt] if tag_bill==1, robust cluster(group_sponsor) +(sum of wgt is 119,191.404312134) + +Linear regression Number of obs = 55,672 + F(268, 4402) = . + Prob > F = . + R-squared = 0.1154 + Root MSE = 34.702 + + (Std. Err. adjusted for 4,403 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | .4964645 .6075847 0.82 0.414 -.6947072 1.687636 + | + v2 | + 102 | 1.480053 1.783086 0.83 0.407 -2.015693 4.975799 + 103 | -3.394774 1.831426 -1.85 0.064 -6.985291 .1957424 + 104 | .5536068 1.787595 0.31 0.757 -2.950979 4.058193 + 105 | 2.187964 1.663073 1.32 0.188 -1.072495 5.448423 + 106 | 4.188385 2.129783 1.97 0.049 .0129396 8.363831 + 107 | 3.450571 1.817021 1.90 0.058 -.1117035 7.012846 + 108 | 3.434755 1.799088 1.91 0.056 -.0923633 6.961873 + 109 | 1.784179 1.566189 1.14 0.255 -1.286339 4.854697 + 110 | .7655248 1.742638 0.44 0.660 -2.650922 4.181972 + 111 | -1.370746 1.802581 -0.76 0.447 -4.904711 2.16322 + | + minor | + 101 | 5.812121 4.80348 1.21 0.226 -3.605116 15.22936 + 103 | 2.823542 5.681563 0.50 0.619 -8.31518 13.96226 + 104 | 7.395274 4.544818 1.63 0.104 -1.514857 16.3054 + 105 | 16.0131 4.824199 3.32 0.001 6.555238 25.47095 + 107 | 18.29266 4.814546 3.80 0.000 8.853723 27.73159 + 108 | 13.70922 5.158067 2.66 0.008 3.596813 23.82162 + 110 | 15.22774 10.74189 1.42 0.156 -5.831776 36.28726 + 200 | 27.31581 6.941876 3.93 0.000 13.70624 40.92538 + 201 | 11.85214 6.170267 1.92 0.055 -.2446836 23.94897 + 202 | 43.01482 11.68057 3.68 0.000 20.11503 65.9146 + 204 | 1.994938 8.603942 0.23 0.817 -14.87312 18.86299 + 205 | 90.02336 27.15371 3.32 0.001 36.78844 143.2583 + 206 | 14.66615 6.356941 2.31 0.021 2.20335 27.12896 + 207 | 27.36926 7.314223 3.74 0.000 13.02971 41.70882 + 208 | 10.95017 4.306999 2.54 0.011 2.506286 19.39406 + 209 | 14.97384 9.937071 1.51 0.132 -4.50782 34.45549 + 299 | 75.28995 17.51885 4.30 0.000 40.94419 109.6357 + 300 | 19.68423 6.260975 3.14 0.002 7.409566 31.95889 + 301 | 15.66081 4.751425 3.30 0.001 6.345629 24.976 + 302 | 18.01636 4.917265 3.66 0.000 8.376048 27.65667 + 321 | 15.79406 5.442598 2.90 0.004 5.123834 26.46429 + 322 | 9.280394 5.075503 1.83 0.068 -.6701459 19.23093 + 323 | 15.88693 5.560957 2.86 0.004 4.984652 26.7892 + 324 | 5.073471 4.725637 1.07 0.283 -4.191154 14.3381 + 325 | 15.82222 5.890032 2.69 0.007 4.274795 27.36964 + 331 | 35.05888 5.766402 6.08 0.000 23.75383 46.36392 + 332 | 21.04254 4.713619 4.46 0.000 11.80148 30.2836 + 333 | 20.75853 6.928357 3.00 0.003 7.175466 34.34159 + 334 | 19.35694 5.180946 3.74 0.000 9.199677 29.5142 + 335 | 16.27699 6.836679 2.38 0.017 2.873662 29.68032 + 336 | 28.55287 7.30073 3.91 0.000 14.23977 42.86597 + 341 | 15.58214 5.173118 3.01 0.003 5.440223 25.72405 + 342 | 11.868 6.048064 1.96 0.050 .0107489 23.72525 + 343 | 12.03468 4.657586 2.58 0.010 2.903467 21.16589 + 344 | 10.03891 5.994259 1.67 0.094 -1.712849 21.79067 + 398 | 30.99899 6.333708 4.89 0.000 18.58174 43.41625 + 399 | 15.10696 5.457793 2.77 0.006 4.406945 25.80698 + 400 | 11.42664 5.481953 2.08 0.037 .6792576 22.17403 + 401 | 5.502508 4.891065 1.13 0.261 -4.086439 15.09146 + 402 | 9.724318 4.283924 2.27 0.023 1.325672 18.12296 + 403 | 11.34052 4.826316 2.35 0.019 1.878515 20.80253 + 404 | 13.70111 4.856221 2.82 0.005 4.18047 23.22174 + 405 | 16.5414 6.037815 2.74 0.006 4.704248 28.37856 + 498 | 11.68687 5.352325 2.18 0.029 1.19362 22.18012 + 499 | 13.93511 7.10227 1.96 0.050 .0110899 27.85913 + 500 | 6.57621 4.55422 1.44 0.149 -2.352352 15.50477 + 501 | 11.16356 4.843896 2.30 0.021 1.667082 20.66003 + 502 | 14.85516 5.269814 2.82 0.005 4.523673 25.18664 + 503 | 16.56055 4.959656 3.34 0.001 6.837133 26.28397 + 504 | 29.11281 6.00815 4.85 0.000 17.33382 40.89181 + 505 | 12.77556 5.437122 2.35 0.019 2.116069 23.43506 + 506 | 20.45165 5.91095 3.46 0.001 8.863212 32.04008 + 508 | 12.65044 4.524893 2.80 0.005 3.779378 21.52151 + 529 | 12.12789 6.214059 1.95 0.051 -.0547951 24.31057 + 530 | 12.45207 4.37836 2.84 0.004 3.868285 21.03586 + 599 | 15.00863 7.765243 1.93 0.053 -.2151553 30.23241 + 600 | 15.00585 5.376244 2.79 0.005 4.465708 25.54599 + 601 | 13.4733 4.398484 3.06 0.002 4.850055 22.09654 + 602 | 19.21947 5.086117 3.78 0.000 9.24812 29.19082 + 603 | 17.39293 6.016266 2.89 0.004 5.598018 29.18783 + 604 | 5.939592 4.987832 1.19 0.234 -3.839068 15.71825 + 606 | 15.33126 5.673759 2.70 0.007 4.207833 26.45468 + 607 | 14.99114 4.570148 3.28 0.001 6.031352 23.95093 + 609 | 10.86807 4.859849 2.24 0.025 1.340324 20.39582 + 698 | 1.885871 4.821847 0.39 0.696 -7.567375 11.33912 + 699 | 11.17319 5.287285 2.11 0.035 .8074511 21.53893 + 700 | 9.306396 4.350586 2.14 0.032 .7770589 17.83573 + 701 | 17.4109 6.491132 2.68 0.007 4.685019 30.13679 + 703 | 4.20565 4.269332 0.99 0.325 -4.164388 12.57569 + 704 | 7.140976 4.384756 1.63 0.103 -1.455352 15.7373 + 705 | 15.74739 4.821921 3.27 0.001 6.294001 25.20078 + 707 | 21.8772 11.55766 1.89 0.058 -.7816298 44.53602 + 708 | 16.17972 5.549209 2.92 0.004 5.30048 27.05896 + 709 | 17.17535 4.444107 3.86 0.000 8.462664 25.88803 + 710 | 11.53826 4.360431 2.65 0.008 2.989625 20.0869 + 711 | 13.904 5.59675 2.48 0.013 2.931554 24.87644 + 798 | 9.11818 5.229815 1.74 0.081 -1.134888 19.37125 + 799 | 12.49238 7.075638 1.77 0.078 -1.379426 26.36419 + 800 | 6.543127 4.726843 1.38 0.166 -2.723863 15.81012 + 801 | 3.140362 4.278072 0.73 0.463 -5.246811 11.52753 + 802 | 4.089763 4.65871 0.88 0.380 -5.043652 13.22318 + 803 | 9.47657 4.272715 2.22 0.027 1.099899 17.85324 + 805 | 1.714875 4.510509 0.38 0.704 -7.127992 10.55774 + 806 | 8.79171 4.373602 2.01 0.044 .2172501 17.36617 + 807 | 13.37678 5.094575 2.63 0.009 3.388849 23.36471 + 898 | 8.597923 6.040692 1.42 0.155 -3.244872 20.44072 + 899 | 1.40681 5.392258 0.26 0.794 -9.164729 11.97835 + 1000 | 6.929273 4.653465 1.49 0.137 -2.19386 16.05241 + 1001 | 10.99235 5.629319 1.95 0.051 -.0439482 22.02865 + 1002 | 7.590907 4.452807 1.70 0.088 -1.138835 16.32065 + 1003 | 9.45891 4.717849 2.00 0.045 .2095536 18.70827 + 1005 | 7.315304 4.969988 1.47 0.141 -2.428373 17.05898 + 1006 | 24.51611 11.55372 2.12 0.034 1.864995 47.16722 + 1007 | 7.69964 3.983646 1.93 0.053 -.1103097 15.50959 + 1010 | 7.553307 5.053896 1.49 0.135 -2.35487 17.46148 + 1098 | -.4403475 4.357417 -0.10 0.920 -8.983077 8.102382 + 1099 | 16.81534 8.843115 1.90 0.057 -.5216163 34.15229 + 1200 | 16.961 7.338638 2.31 0.021 2.573578 31.34842 + 1201 | 9.072139 4.698896 1.93 0.054 -.1400609 18.28434 + 1202 | 5.567606 5.130664 1.09 0.278 -4.491077 15.62629 + 1203 | 9.312424 4.704921 1.98 0.048 .0884126 18.53644 + 1204 | 9.593636 4.500343 2.13 0.033 .770699 18.41657 + 1205 | 11.18154 4.814365 2.32 0.020 1.742959 20.62011 + 1206 | 6.257211 4.860585 1.29 0.198 -3.271979 15.7864 + 1207 | 13.32203 4.741434 2.81 0.005 4.026431 22.61762 + 1208 | 19.32614 4.416497 4.38 0.000 10.66759 27.9847 + 1209 | 16.45749 4.639022 3.55 0.000 7.362673 25.55231 + 1210 | 13.15716 4.757396 2.77 0.006 3.83027 22.48405 + 1211 | 23.19449 7.667761 3.02 0.003 8.161819 38.22716 + 1299 | 17.64925 6.591806 2.68 0.007 4.725998 30.57251 + 1300 | 24.53512 6.344877 3.87 0.000 12.09597 36.97428 + 1301 | 17.21179 5.502877 3.13 0.002 6.423385 28.0002 + 1302 | 6.821968 4.655405 1.47 0.143 -2.304968 15.9489 + 1303 | 13.28333 5.123722 2.59 0.010 3.238257 23.3284 + 1304 | 16.49507 6.073938 2.72 0.007 4.587092 28.40304 + 1305 | 14.84315 5.971141 2.49 0.013 3.136712 26.54959 + 1399 | 15.41745 11.60518 1.33 0.184 -7.334544 38.16944 + 1400 | 15.43664 5.211036 2.96 0.003 5.220394 25.6529 + 1401 | 20.13634 5.295572 3.80 0.000 9.754357 30.51833 + 1403 | 17.61356 5.172055 3.41 0.001 7.473727 27.75339 + 1404 | 10.0737 5.267682 1.91 0.056 -.2536083 20.401 + 1405 | 3.79434 4.327088 0.88 0.381 -4.688929 12.27761 + 1406 | 18.71152 7.143976 2.62 0.009 4.705738 32.71731 + 1407 | 13.2497 5.498846 2.41 0.016 2.469199 24.03021 + 1408 | 11.72748 7.999298 1.47 0.143 -3.955164 27.41013 + 1409 | 29.1106 8.308753 3.50 0.000 12.82127 45.39994 + 1410 | 16.46435 5.180158 3.18 0.001 6.308638 26.62007 + 1499 | 7.894883 5.135379 1.54 0.124 -2.173044 17.96281 + 1500 | 6.918635 4.402831 1.57 0.116 -1.713128 15.5504 + 1501 | 14.87773 4.702716 3.16 0.002 5.658039 24.09742 + 1502 | 19.46609 6.514265 2.99 0.003 6.69485 32.23732 + 1504 | 27.60559 11.74756 2.35 0.019 4.574458 50.63672 + 1505 | 10.28949 4.927604 2.09 0.037 .6289058 19.95007 + 1507 | 11.51282 6.504892 1.77 0.077 -1.240041 24.26568 + 1520 | 12.10837 5.477572 2.21 0.027 1.369572 22.84717 + 1521 | 10.65742 4.707619 2.26 0.024 1.428116 19.88672 + 1522 | 8.868624 4.682132 1.89 0.058 -.3107093 18.04796 + 1523 | 9.617787 4.269228 2.25 0.024 1.247954 17.98762 + 1524 | 21.9752 8.303152 2.65 0.008 5.696841 38.25355 + 1525 | 13.40115 4.772153 2.81 0.005 4.045334 22.75697 + 1526 | 11.54076 5.0862 2.27 0.023 1.569245 21.51227 + 1599 | 20.16173 7.820831 2.58 0.010 4.828966 35.49449 + 1600 | 8.897354 5.810932 1.53 0.126 -2.494996 20.2897 + 1602 | 14.27602 7.476281 1.91 0.056 -.3812489 28.93329 + 1603 | -15.72378 17.30608 -0.91 0.364 -49.6524 18.20483 + 1604 | 10.10675 4.836501 2.09 0.037 .6247753 19.58872 + 1605 | 19.17706 6.043222 3.17 0.002 7.329308 31.02482 + 1606 | 20.34646 10.34624 1.97 0.049 .0626177 40.6303 + 1608 | 17.31496 4.976342 3.48 0.001 7.558823 27.07109 + 1609 | 16.53993 4.861632 3.40 0.001 7.008687 26.07117 + 1610 | 13.4575 5.162833 2.61 0.009 3.335748 23.57925 + 1611 | 4.634803 4.238905 1.09 0.274 -3.675582 12.94519 + 1612 | 11.75645 4.627671 2.54 0.011 2.68389 20.82902 + 1614 | 3.160529 4.911078 0.64 0.520 -6.467655 12.78871 + 1615 | 5.757617 4.064431 1.42 0.157 -2.210714 13.72595 + 1616 | -.412495 3.133926 -0.13 0.895 -6.556566 5.731576 + 1617 | 6.157071 4.760649 1.29 0.196 -3.176195 15.49034 + 1619 | 8.045771 5.771227 1.39 0.163 -3.268737 19.36028 + 1620 | 3.045696 4.905266 0.62 0.535 -6.571093 12.66248 + 1698 | .3598022 5.200894 0.07 0.945 -9.836567 10.55617 + 1699 | 35.62031 10.95881 3.25 0.001 14.13553 57.10508 + 1700 | 19.70789 7.823105 2.52 0.012 4.370672 35.04512 + 1701 | 8.194688 4.561971 1.80 0.073 -.7490702 17.13845 + 1704 | 7.199275 5.009044 1.44 0.151 -2.620971 17.01952 + 1705 | .176813 5.486874 0.03 0.974 -10.58022 10.93385 + 1706 | 12.60396 5.149387 2.45 0.014 2.508567 22.69934 + 1707 | 11.2969 4.994032 2.26 0.024 1.506083 21.08771 + 1708 | 9.734295 4.497855 2.16 0.031 .9162376 18.55235 + 1709 | 19.38544 4.830465 4.01 0.000 9.915294 28.85558 + 1798 | 29.45407 8.626598 3.41 0.001 12.5416 46.36654 + 1799 | 16.6809 9.672776 1.72 0.085 -2.282605 35.64441 + 1800 | 7.388757 4.556128 1.62 0.105 -1.543546 16.32106 + 1802 | 14.38635 5.457461 2.64 0.008 3.686983 25.08572 + 1803 | 13.44469 4.714626 2.85 0.004 4.20165 22.68773 + 1804 | 7.112005 4.5979 1.55 0.122 -1.902192 16.1262 + 1806 | 10.17419 4.485425 2.27 0.023 1.380504 18.96788 + 1807 | -.88775 4.396912 -0.20 0.840 -9.50791 7.73241 + 1808 | 8.369421 7.956404 1.05 0.293 -7.229133 23.96797 + 1899 | 6.267502 8.705963 0.72 0.472 -10.80057 23.33557 + 1900 | 6.101783 4.099505 1.49 0.137 -1.935309 14.13887 + 1901 | 16.30453 4.034896 4.04 0.000 8.394106 24.21496 + 1902 | 29.18943 12.12056 2.41 0.016 5.427025 52.95183 + 1905 | 26.43777 8.979944 2.94 0.003 8.832564 44.04298 + 1906 | 12.12985 4.491183 2.70 0.007 3.324874 20.93483 + 1907 | 10.93322 7.753904 1.41 0.159 -4.26833 26.13478 + 1908 | 8.445287 5.578838 1.51 0.130 -2.492042 19.38262 + 1909 | 7.914038 4.759809 1.66 0.096 -1.417581 17.24566 + 1910 | 27.15194 7.003245 3.88 0.000 13.42206 40.88182 + 1911 | 21.22875 8.210008 2.59 0.010 5.133002 37.32449 + 1912 | 6.186525 15.3949 0.40 0.688 -23.99523 36.36828 + 1914 | 12.03389 4.213499 2.86 0.004 3.773313 20.29447 + 1915 | 2.600765 4.449672 0.58 0.559 -6.122831 11.32436 + 1919 | 9.591267 4.55409 2.11 0.035 .6629597 18.51957 + 1920 | 32.00109 7.749911 4.13 0.000 16.80737 47.19482 + 1925 | 23.44597 5.296501 4.43 0.000 13.06216 33.82977 + 1926 | 13.30536 4.509149 2.95 0.003 4.465156 22.14556 + 1927 | 6.297455 4.240618 1.49 0.138 -2.01629 14.6112 + 1929 | 14.40675 5.263845 2.74 0.006 4.086964 24.72653 + 1999 | 12.22594 9.866643 1.24 0.215 -7.117641 31.56953 + 2000 | 4.951257 4.042598 1.22 0.221 -2.974268 12.87678 + 2001 | 9.552847 5.173472 1.85 0.065 -.5897614 19.69546 + 2002 | 13.1969 4.8586 2.72 0.007 3.671595 22.7222 + 2003 | 40.13746 9.499342 4.23 0.000 21.51397 58.76095 + 2004 | 16.68494 5.404702 3.09 0.002 6.089011 27.28088 + 2005 | 7.114406 5.125783 1.39 0.165 -2.934708 17.16352 + 2006 | 112.1842 12.98157 8.64 0.000 86.73378 137.6346 + 2007 | 10.04502 4.71154 2.13 0.033 .8080289 19.28201 + 2008 | 12.34704 4.315435 2.86 0.004 3.88662 20.80747 + 2009 | 12.20194 6.164674 1.98 0.048 .1160775 24.2878 + 2010 | -1.353199 4.4418 -0.30 0.761 -10.06136 7.354962 + 2011 | 4.351104 4.502222 0.97 0.334 -4.475516 13.17772 + 2012 | 3.990762 4.952927 0.81 0.420 -5.719467 13.70099 + 2013 | 12.54139 4.700965 2.67 0.008 3.325136 21.75765 + 2014 | 8.058136 5.098755 1.58 0.114 -1.937989 18.05426 + 2015 | 7.109276 4.970172 1.43 0.153 -2.634762 16.85331 + 2030 | 51.81262 33.52429 1.55 0.122 -13.91186 117.5371 + 2099 | 20.7496 7.430444 2.79 0.005 6.182195 35.31701 + 2100 | 9.849423 5.621599 1.75 0.080 -1.171738 20.87058 + 2101 | 13.41038 5.04794 2.66 0.008 3.513882 23.30688 + 2102 | 7.354944 4.341846 1.69 0.090 -1.157258 15.86715 + 2103 | 8.61312 4.301603 2.00 0.045 .1798143 17.04643 + 2104 | 4.300375 4.154285 1.04 0.301 -3.844113 12.44486 + 2105 | 10.98156 6.212458 1.77 0.077 -1.197985 23.1611 + 2199 | .6107861 5.239096 0.12 0.907 -9.660478 10.88205 + 9999 | 39.45737 9.156551 4.31 0.000 21.50592 57.40881 + | + house_administration | 8.54721 4.297476 1.99 0.047 .1219949 16.97242 + house_agriculture | 3.641955 1.286005 2.83 0.005 1.120738 6.163172 + house_appropriations | 3.851211 2.950457 1.31 0.192 -1.933169 9.63559 + house_armedservices | 1.95048 2.291355 0.85 0.395 -2.541729 6.442689 + house_budget | 3.146885 2.178894 1.44 0.149 -1.124843 7.418614 + house_dc | -2.051072 2.770025 -0.74 0.459 -7.481713 3.37957 + house_educlabor | 4.398906 1.269227 3.47 0.001 1.910582 6.88723 + house_energycommerce | 6.327309 1.120693 5.65 0.000 4.130186 8.524432 + house_foreignaffairs | 5.620668 4.068555 1.38 0.167 -2.355747 13.59708 + house_governmentop | 4.299846 2.555937 1.68 0.093 -.7110763 9.310768 + house_intelligence | 30.0483 22.70011 1.32 0.186 -14.45534 74.55193 + house_interior | -1.228731 2.399253 -0.51 0.609 -5.932474 3.475012 + house_judiciary | 3.542391 .9801934 3.61 0.000 1.620719 5.464064 + house_mmf | .4587536 2.15923 0.21 0.832 -3.774424 4.691931 + house_pocs | 9.68638 5.262911 1.84 0.066 -.6315725 20.00433 + house_pwt | 5.820899 2.324634 2.50 0.012 1.263446 10.37835 + house_rules | 1.328767 1.742295 0.76 0.446 -2.087008 4.744541 + house_sst | 7.93732 3.20828 2.47 0.013 1.647476 14.22716 + house_smallbusi | -3.882427 1.779117 -2.18 0.029 -7.370391 -.3944632 + house_soc | 9.619945 7.248437 1.33 0.185 -4.590637 23.83053 + house_veterans | 2.705251 2.975276 0.91 0.363 -3.127786 8.538287 + house_waysandmeans | 3.686649 1.028131 3.59 0.000 1.670994 5.702303 +house_naturalresources | .0741622 1.611681 0.05 0.963 -3.085543 3.233867 + house_bfs | -2.212301 1.678468 -1.32 0.188 -5.502943 1.078341 + house_eeo | .0418697 2.95567 0.01 0.989 -5.752731 5.83647 + house_govreform | 1.293392 1.665893 0.78 0.438 -1.972596 4.55938 + house_ir | 4.287177 1.940156 2.21 0.027 .4834964 8.090858 + house_natsecur | 3.208132 2.467744 1.30 0.194 -1.629889 8.046152 + house_oversight | 4.786714 1.765649 2.71 0.007 1.325153 8.248274 + house_resources | -1.999979 1.697286 -1.18 0.239 -5.327512 1.327555 + house_science | -2.330948 1.540311 -1.51 0.130 -5.350731 .6888362 + house_transp | 2.701717 1.689792 1.60 0.110 -.6111248 6.014559 + house_homeland | -1.388427 1.531984 -0.91 0.365 -4.391885 1.615032 + _cons | -2.451182 4.286754 -0.57 0.567 -10.85538 5.953012 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,403 1 0 1 1 + + +j = 4 k = 2 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6187 +----------------------+---------------------- NN matches = 3 + Number of obs | 2193 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 29.70309 50.99673 .5824509 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(6,677 missing values generated) +(54,574 missing values generated) +(47,897 real changes made) +reg numb_cosponsors sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==100 & tag_bill==1, robust cluster(group_sponsor) +(sum of wgt is 61,740.640145421) + +Linear regression Number of obs = 29,560 + F(268, 2277) = . + Prob > F = . + R-squared = 0.1142 + Root MSE = 35.708 + + (Std. Err. adjusted for 2,278 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | .4285626 .8921571 0.48 0.631 -1.320963 2.178088 + | + v2 | + 102 | .0962238 2.558099 0.04 0.970 -4.920224 5.112672 + 103 | -6.045695 2.222481 -2.72 0.007 -10.40399 -1.687396 + 104 | -5.332127 2.349453 -2.27 0.023 -9.93942 -.7248339 + 105 | -.7732759 2.523208 -0.31 0.759 -5.721304 4.174752 + 106 | -.4081222 2.484621 -0.16 0.870 -5.28048 4.464236 + 107 | -.6831885 2.597157 -0.26 0.793 -5.77623 4.409852 + 108 | .5879976 2.667375 0.22 0.826 -4.642742 5.818737 + 109 | -2.253186 2.228164 -1.01 0.312 -6.622631 2.116258 + 110 | -.8848263 2.353895 -0.38 0.707 -5.50083 3.731177 + 111 | -4.242973 2.404618 -1.76 0.078 -8.958443 .4724978 + | + minor | + 101 | -1.416728 4.299108 -0.33 0.742 -9.847305 7.01385 + 103 | -11.22092 3.956114 -2.84 0.005 -18.97889 -3.462958 + 104 | .8642779 3.965686 0.22 0.827 -6.912457 8.641012 + 105 | 7.648932 4.948772 1.55 0.122 -2.055641 17.3535 + 107 | 8.453304 5.451528 1.55 0.121 -2.237177 19.14378 + 108 | 12.25667 5.818419 2.11 0.035 .8467124 23.66662 + 110 | .6438556 10.52559 0.06 0.951 -19.9969 21.28461 + 200 | 26.4674 8.468831 3.13 0.002 9.859965 43.07483 + 201 | 6.015557 6.222088 0.97 0.334 -6.185997 18.21711 + 202 | 46.38461 12.11726 3.83 0.000 22.6226 70.14663 + 204 | 18.10754 10.45674 1.73 0.083 -2.398192 38.61327 + 205 | 108.7351 31.04227 3.50 0.000 47.86104 169.6092 + 206 | 2.046147 6.973782 0.29 0.769 -11.62948 15.72178 + 207 | 28.57282 6.195035 4.61 0.000 16.42432 40.72132 + 208 | .3700648 4.616442 0.08 0.936 -8.682807 9.422937 + 209 | 8.538186 12.33821 0.69 0.489 -15.65713 32.7335 + 299 | 9.164571 15.73255 0.58 0.560 -21.68705 40.01619 + 300 | 8.433627 4.966971 1.70 0.090 -1.306635 18.17389 + 301 | 5.225749 4.695572 1.11 0.266 -3.982298 14.4338 + 302 | 7.490223 4.136476 1.81 0.070 -.6214328 15.60188 + 321 | 3.797528 4.882809 0.78 0.437 -5.777691 13.37275 + 322 | -2.733694 4.012509 -0.68 0.496 -10.60225 5.13486 + 323 | 9.891578 5.512365 1.79 0.073 -.9182059 20.70136 + 324 | -3.467936 4.597505 -0.75 0.451 -12.48367 5.5478 + 325 | 4.018936 4.864889 0.83 0.409 -5.521142 13.55901 + 331 | 19.8448 5.438146 3.65 0.000 9.180565 30.50904 + 332 | 11.20027 4.544541 2.46 0.014 2.288396 20.11215 + 333 | 14.1008 4.979994 2.83 0.005 4.334997 23.8666 + 334 | 13.22416 5.015126 2.64 0.008 3.389465 23.05885 + 335 | 3.795201 5.318966 0.71 0.476 -6.635324 14.22573 + 336 | 15.64061 7.319802 2.14 0.033 1.286434 29.99479 + 341 | 8.180577 4.930339 1.66 0.097 -1.48785 17.849 + 342 | 4.783939 6.604471 0.72 0.469 -8.16747 17.73535 + 343 | 4.91884 4.670091 1.05 0.292 -4.239238 14.07692 + 344 | -5.078384 5.25674 -0.97 0.334 -15.38688 5.230116 + 398 | 22.11145 5.931598 3.73 0.000 10.47955 33.74335 + 399 | 9.395198 8.351302 1.12 0.261 -6.981759 25.77215 + 400 | 6.094271 5.804601 1.05 0.294 -5.28859 17.47713 + 401 | -2.547466 4.148901 -0.61 0.539 -10.68349 5.588555 + 402 | 1.310825 4.022693 0.33 0.745 -6.577701 9.199351 + 403 | 1.892205 4.3297 0.44 0.662 -6.598365 10.38278 + 404 | 6.834077 6.040172 1.13 0.258 -5.010739 18.67889 + 405 | 14.52165 7.820186 1.86 0.063 -.8137879 29.85708 + 498 | 5.03672 4.983364 1.01 0.312 -4.735689 14.80913 + 499 | -2.133042 3.829469 -0.56 0.578 -9.642656 5.376572 + 500 | 2.436453 7.825171 0.31 0.756 -12.90876 17.78166 + 501 | 3.710493 4.618274 0.80 0.422 -5.345972 12.76696 + 502 | 6.221367 4.840541 1.29 0.199 -3.270964 15.7137 + 503 | 6.236249 4.590235 1.36 0.174 -2.765231 15.23773 + 504 | 23.08964 7.915782 2.92 0.004 7.566738 38.61254 + 505 | 13.4771 5.706024 2.36 0.018 2.287548 24.66665 + 506 | 16.51144 5.680924 2.91 0.004 5.371113 27.65177 + 508 | 7.386873 4.405964 1.68 0.094 -1.253249 16.027 + 529 | -4.722885 4.503502 -1.05 0.294 -13.55428 4.108511 + 530 | 6.959256 3.978817 1.75 0.080 -.8432299 14.76174 + 599 | 8.176695 7.436425 1.10 0.272 -6.406182 22.75957 + 600 | 2.194957 4.941309 0.44 0.657 -7.494981 11.8849 + 601 | 5.051019 3.90515 1.29 0.196 -2.607005 12.70904 + 602 | 7.292879 4.04157 1.80 0.071 -.6326657 15.21842 + 603 | 11.67626 8.149157 1.43 0.152 -4.304285 27.65681 + 604 | .1714387 5.939712 0.03 0.977 -11.47637 11.81925 + 606 | 5.127013 6.289518 0.82 0.415 -7.206772 17.4608 + 607 | 4.345029 4.103839 1.06 0.290 -3.702625 12.39268 + 609 | 4.842939 4.937979 0.98 0.327 -4.840469 14.52635 + 698 | -8.687821 4.181302 -2.08 0.038 -16.88738 -.4882604 + 699 | 6.618424 5.603333 1.18 0.238 -4.369748 17.6066 + 700 | 3.244818 4.481469 0.72 0.469 -5.54337 12.03301 + 701 | 6.622562 4.24787 1.56 0.119 -1.707538 14.95266 + 703 | -.7096081 3.876388 -0.18 0.855 -8.31123 6.892014 + 704 | .4024193 4.102551 0.10 0.922 -7.64271 8.447549 + 705 | 6.262568 4.676511 1.34 0.181 -2.908101 15.43324 + 707 | 20.64134 14.17083 1.46 0.145 -7.147745 48.43043 + 708 | 4.657233 4.795109 0.97 0.332 -4.746006 14.06047 + 709 | 12.56269 4.867893 2.58 0.010 3.016719 22.10866 + 710 | 8.57675 4.598863 1.86 0.062 -.4416493 17.59515 + 711 | 16.41236 7.214388 2.27 0.023 2.264897 30.55982 + 798 | 3.484766 5.251571 0.66 0.507 -6.813597 13.78313 + 799 | -9.422458 4.624188 -2.04 0.042 -18.49052 -.3543963 + 800 | 2.341786 5.146598 0.46 0.649 -7.750725 12.4343 + 801 | -5.175189 4.221794 -1.23 0.220 -13.45415 3.103775 + 802 | -4.40109 4.03223 -1.09 0.275 -12.30832 3.506139 + 803 | .4873601 3.642081 0.13 0.894 -6.654784 7.629504 + 805 | 2.896588 4.661626 0.62 0.534 -6.244889 12.03807 + 806 | .7100626 3.788548 0.19 0.851 -6.719305 8.13943 + 807 | 9.598458 5.548494 1.73 0.084 -1.282174 20.47909 + 898 | -3.134731 8.090507 -0.39 0.698 -19.00027 12.7308 + 899 | -1.680922 6.29766 -0.27 0.790 -14.03067 10.66883 + 1000 | .6034597 4.437818 0.14 0.892 -8.09913 9.306049 + 1001 | -.965504 3.939169 -0.25 0.806 -8.690239 6.759231 + 1002 | -2.309173 4.069833 -0.57 0.571 -10.29014 5.671795 + 1003 | 1.907049 3.967284 0.48 0.631 -5.872819 9.686918 + 1005 | 6.969504 5.669897 1.23 0.219 -4.1492 18.08821 + 1006 | 2.779832 4.752882 0.58 0.559 -6.540601 12.10026 + 1007 | 3.886627 4.410794 0.88 0.378 -4.762969 12.53622 + 1010 | 3.385535 4.842233 0.70 0.485 -6.110116 12.88119 + 1098 | -8.468698 4.962809 -1.71 0.088 -18.2008 1.263402 + 1099 | 9.954355 8.230129 1.21 0.227 -6.18498 26.09369 + 1200 | 15.5864 9.510522 1.64 0.101 -3.063791 34.2366 + 1201 | -.695915 7.563462 -0.09 0.927 -15.52791 14.13608 + 1202 | 1.489277 4.182513 0.36 0.722 -6.712657 9.691211 + 1203 | -.0684486 5.164384 -0.01 0.989 -10.19584 10.05894 + 1204 | .5760661 4.170335 0.14 0.890 -7.601988 8.75412 + 1205 | 6.735207 4.953052 1.36 0.174 -2.977759 16.44817 + 1206 | 2.177367 4.725314 0.46 0.645 -7.089004 11.44374 + 1207 | 4.838207 4.674233 1.04 0.301 -4.327994 14.00441 + 1208 | 12.61862 4.691514 2.69 0.007 3.418532 21.81871 + 1209 | 8.440031 4.313909 1.96 0.051 -.0195717 16.89963 + 1210 | 5.548521 4.668108 1.19 0.235 -3.605668 14.70271 + 1211 | 15.6745 7.838076 2.00 0.046 .3039857 31.04502 + 1299 | 11.21871 8.528736 1.32 0.189 -5.506198 27.94361 + 1300 | 13.67559 5.5059 2.48 0.013 2.878489 24.4727 + 1301 | 10.63343 4.951858 2.15 0.032 .9228047 20.34405 + 1302 | -3.738767 4.400903 -0.85 0.396 -12.36897 4.891432 + 1303 | 3.887443 5.195971 0.75 0.454 -6.30189 14.07677 + 1304 | 7.371649 7.563161 0.97 0.330 -7.459757 22.20306 + 1305 | -1.05656 7.958601 -0.13 0.894 -16.66343 14.55031 + 1399 | 12.01417 18.06635 0.67 0.506 -23.41406 47.44241 + 1400 | 7.320408 4.826848 1.52 0.130 -2.145072 16.78589 + 1401 | 12.85019 4.829643 2.66 0.008 3.37923 22.32115 + 1403 | 14.30634 5.005591 2.86 0.004 4.490348 24.12234 + 1404 | 7.057289 6.248528 1.13 0.259 -5.196113 19.31069 + 1405 | -1.100439 4.130597 -0.27 0.790 -9.200566 6.999687 + 1406 | 12.95757 6.657182 1.95 0.052 -.0972095 26.01234 + 1407 | 3.276404 6.118984 0.54 0.592 -8.722962 15.27577 + 1408 | -2.438641 5.72135 -0.43 0.670 -13.65824 8.780962 + 1409 | 18.85352 5.813176 3.24 0.001 7.453846 30.2532 + 1410 | 6.459048 4.457809 1.45 0.147 -2.282744 15.20084 + 1499 | .2137575 4.989769 0.04 0.966 -9.571211 9.998726 + 1500 | 2.358528 5.463138 0.43 0.666 -8.35472 13.07178 + 1501 | 9.506577 4.205324 2.26 0.024 1.25991 17.75324 + 1502 | 19.62249 8.425405 2.33 0.020 3.100217 36.14476 + 1504 | 31.81875 20.80428 1.53 0.126 -8.978588 72.61608 + 1505 | -2.102552 5.1061 -0.41 0.681 -12.11565 7.910543 + 1507 | -.7670773 4.129858 -0.19 0.853 -8.865756 7.331601 + 1520 | 1.32892 3.868286 0.34 0.731 -6.256814 8.914654 + 1521 | 2.966853 3.696139 0.80 0.422 -4.281298 10.215 + 1522 | .8579324 4.341497 0.20 0.843 -7.655772 9.371637 + 1523 | 2.351901 3.546036 0.66 0.507 -4.601899 9.3057 + 1524 | 10.84593 7.858476 1.38 0.168 -4.564588 26.25645 + 1525 | 6.507775 4.960774 1.31 0.190 -3.220333 16.23588 + 1526 | .1272986 4.167761 0.03 0.976 -8.045707 8.300304 + 1599 | 4.920887 5.580397 0.88 0.378 -6.022308 15.86408 + 1600 | -.8963699 3.553773 -0.25 0.801 -7.865342 6.072602 + 1602 | 9.38456 9.872379 0.95 0.342 -9.975238 28.74436 + 1603 | -44.91914 29.50704 -1.52 0.128 -102.7826 12.94436 + 1604 | -3.057978 3.869481 -0.79 0.429 -10.64606 4.5301 + 1605 | 8.396195 7.890487 1.06 0.287 -7.0771 23.86949 + 1606 | 21.68264 12.20092 1.78 0.076 -2.24345 45.60873 + 1608 | 6.20257 5.885065 1.05 0.292 -5.33808 17.74322 + 1609 | 7.238726 5.33882 1.36 0.175 -3.230735 17.70819 + 1610 | 7.795423 5.12119 1.52 0.128 -2.247263 17.83811 + 1611 | -2.332975 4.220347 -0.55 0.580 -10.6091 5.943154 + 1612 | 7.069963 4.683729 1.51 0.131 -2.114858 16.25478 + 1614 | 3.329739 5.196726 0.64 0.522 -6.861074 13.52055 + 1615 | -2.28817 4.52662 -0.51 0.613 -11.1649 6.588559 + 1616 | -2.058317 3.982902 -0.52 0.605 -9.868812 5.752178 + 1617 | -3.420004 5.586314 -0.61 0.540 -14.3748 7.534793 + 1619 | 8.202751 9.649232 0.85 0.395 -10.71945 27.12496 + 1620 | -1.358096 5.170743 -0.26 0.793 -11.49796 8.781765 + 1698 | -.8504184 4.846766 -0.18 0.861 -10.35496 8.654121 + 1699 | 48.31194 18.76206 2.57 0.010 11.51943 85.10446 + 1700 | 6.096254 5.563411 1.10 0.273 -4.813631 17.00614 + 1701 | .5557275 4.807276 0.12 0.908 -8.871372 9.982827 + 1704 | .1802368 7.252515 0.02 0.980 -14.04199 14.40247 + 1705 | -6.046836 8.13833 -0.74 0.458 -22.00615 9.912482 + 1706 | -2.419043 4.273724 -0.57 0.571 -10.79984 5.961756 + 1707 | -1.13019 5.529646 -0.20 0.838 -11.97386 9.713482 + 1708 | 5.99539 5.549845 1.08 0.280 -4.887892 16.87867 + 1709 | 3.392895 4.671583 0.73 0.468 -5.76811 12.5539 + 1798 | 9.862794 6.036997 1.63 0.102 -1.975795 21.70138 + 1799 | 13.58319 12.30108 1.10 0.270 -10.5393 37.70569 + 1800 | -.0828772 4.648225 -0.02 0.986 -9.198077 9.032322 + 1802 | 11.47299 7.093652 1.62 0.106 -2.437707 25.38369 + 1803 | -1.47281 4.830032 -0.30 0.760 -10.94453 7.998914 + 1804 | -1.88987 4.746441 -0.40 0.691 -11.19767 7.417931 + 1806 | 2.44227 4.577008 0.53 0.594 -6.533272 11.41781 + 1807 | -4.441302 5.412158 -0.82 0.412 -15.05458 6.171973 + 1808 | 19.38117 13.638 1.42 0.155 -7.363029 46.12538 + 1899 | -5.737889 8.314102 -0.69 0.490 -22.0419 10.56612 + 1900 | -1.262339 5.208733 -0.24 0.809 -11.4767 8.95202 + 1901 | 9.67786 6.592696 1.47 0.142 -3.250459 22.60618 + 1902 | 7.878493 6.592158 1.20 0.232 -5.04877 20.80576 + 1905 | 25.10997 8.146924 3.08 0.002 9.133802 41.08614 + 1906 | 4.144867 4.646861 0.89 0.373 -4.967657 13.25739 + 1907 | 11.65218 12.29642 0.95 0.343 -12.46117 35.76554 + 1908 | -3.446735 7.587909 -0.45 0.650 -18.32667 11.4332 + 1909 | -1.468094 6.757791 -0.22 0.828 -14.72016 11.78398 + 1910 | .091424 6.045134 0.02 0.988 -11.76312 11.94597 + 1911 | 11.97053 8.975472 1.33 0.182 -5.630425 29.57149 + 1912 | -8.390427 21.85307 -0.38 0.701 -51.24445 34.46359 + 1914 | -.2102978 5.612692 -0.04 0.970 -11.21682 10.79623 + 1915 | -2.987821 4.578698 -0.65 0.514 -11.96668 5.991035 + 1919 | 2.027563 7.359222 0.28 0.783 -12.40392 16.45904 + 1920 | 15.39567 9.099535 1.69 0.091 -2.448577 33.23991 + 1925 | 22.62439 7.375453 3.07 0.002 8.161082 37.0877 + 1926 | 22.24321 8.305303 2.68 0.007 5.956459 38.52996 + 1927 | -1.174288 4.646763 -0.25 0.801 -10.28662 7.938044 + 1929 | -3.029007 5.690609 -0.53 0.595 -14.18833 8.130313 + 1999 | 14.59099 20.12965 0.72 0.469 -24.88337 54.06535 + 2000 | -.6021303 4.58399 -0.13 0.896 -9.591363 8.387103 + 2001 | 5.795445 5.059663 1.15 0.252 -4.126587 15.71748 + 2002 | 3.604189 4.310208 0.84 0.403 -4.848157 12.05654 + 2003 | 25.37378 7.666749 3.31 0.001 10.33923 40.40832 + 2004 | 15.66149 5.090364 3.08 0.002 5.679249 25.64372 + 2005 | -4.979009 5.552742 -0.90 0.370 -15.86797 5.909953 + 2006 | 98.88377 14.38119 6.88 0.000 70.68217 127.0854 + 2007 | 3.368333 4.360725 0.77 0.440 -5.183078 11.91974 + 2008 | 5.741714 4.156515 1.38 0.167 -2.409238 13.89267 + 2009 | 11.64806 9.221849 1.26 0.207 -6.436042 29.73217 + 2010 | -8.673791 3.844738 -2.26 0.024 -16.21335 -1.134235 + 2011 | -5.921096 5.3443 -1.11 0.268 -16.4013 4.55911 + 2012 | -3.018703 5.916398 -0.51 0.610 -14.6208 8.58339 + 2013 | 7.851291 5.017786 1.56 0.118 -1.988619 17.6912 + 2014 | 3.833497 6.194626 0.62 0.536 -8.314204 15.9812 + 2015 | 2.563731 5.138249 0.50 0.618 -7.512408 12.63987 + 2030 | 19.68588 12.76668 1.54 0.123 -5.349658 44.72142 + 2099 | 15.31203 9.256971 1.65 0.098 -2.840955 33.46501 + 2100 | 4.473638 10.23032 0.44 0.662 -15.58808 24.53536 + 2101 | 9.065004 6.974003 1.30 0.194 -4.611061 22.74107 + 2102 | 1.278642 4.176929 0.31 0.760 -6.912342 9.469626 + 2103 | 6.313191 4.58348 1.38 0.169 -2.675042 15.30142 + 2104 | -1.709955 4.013628 -0.43 0.670 -9.580704 6.160794 + 2105 | -1.556959 6.774346 -0.23 0.818 -14.8415 11.72758 + 2199 | -9.681992 4.525882 -2.14 0.033 -18.55727 -.8067086 + 9999 | 41.53032 10.36234 4.01 0.000 21.20971 61.85092 + | + house_administration | 14.72589 7.592738 1.94 0.053 -.1635202 29.6153 + house_agriculture | 1.797185 1.735758 1.04 0.301 -1.606647 5.201018 + house_appropriations | .3772319 7.237907 0.05 0.958 -13.81635 14.57081 + house_armedservices | -.4912242 3.183978 -0.15 0.877 -6.735025 5.752577 + house_budget | .0599151 2.579362 0.02 0.981 -4.998231 5.118061 + house_dc | -6.836078 4.561318 -1.50 0.134 -15.78085 2.108696 + house_educlabor | 6.546638 1.615802 4.05 0.000 3.37804 9.715235 + house_energycommerce | 6.999997 1.645639 4.25 0.000 3.772889 10.22711 + house_foreignaffairs | 11.67646 5.12957 2.28 0.023 1.617344 21.73558 + house_governmentop | -3.169288 3.354589 -0.94 0.345 -9.747658 3.409081 + house_intelligence | 47.52474 33.34 1.43 0.154 -17.85521 112.9047 + house_interior | -5.371288 4.518189 -1.19 0.235 -14.23149 3.48891 + house_judiciary | 1.771412 1.260729 1.41 0.160 -.7008857 4.243709 + house_mmf | -1.053336 3.365402 -0.31 0.754 -7.65291 5.546238 + house_pocs | 3.082712 7.611375 0.41 0.686 -11.84324 18.00867 + house_pwt | 1.849648 1.925077 0.96 0.337 -1.925441 5.624736 + house_rules | 2.990501 2.996834 1.00 0.318 -2.886311 8.867312 + house_sst | 7.526765 3.949112 1.91 0.057 -.217468 15.271 + house_smallbusi | -2.558989 2.056274 -1.24 0.213 -6.591356 1.473378 + house_soc | 10.95547 11.70098 0.94 0.349 -11.99023 33.90117 + house_veterans | 5.373909 4.990017 1.08 0.282 -4.411546 15.15936 + house_waysandmeans | 2.615409 1.377196 1.90 0.058 -.0852817 5.316099 +house_naturalresources | -2.156782 2.831655 -0.76 0.446 -7.709676 3.396111 + house_bfs | -4.291935 3.77352 -1.14 0.255 -11.69183 3.107961 + house_eeo | -1.070757 3.118675 -0.34 0.731 -7.1865 5.044985 + house_govreform | 3.98508 1.997554 1.99 0.046 .0678646 7.902296 + house_ir | 7.171684 2.700966 2.66 0.008 1.875073 12.4683 + house_natsecur | 3.775953 2.938753 1.28 0.199 -1.98696 9.538865 + house_oversight | .9537446 2.131957 0.45 0.655 -3.227036 5.134525 + house_resources | .2558306 3.503624 0.07 0.942 -6.614799 7.12646 + house_science | -1.567235 1.936994 -0.81 0.419 -5.365693 2.231223 + house_transp | 2.359037 2.9041 0.81 0.417 -3.335922 8.053997 + house_homeland | .775808 2.302758 0.34 0.736 -3.739915 5.291531 + _cons | 8.358643 3.927696 2.13 0.033 .6564069 16.06088 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,278 1 0 1 1 + + +j = 4 k = 3 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 13.03771 22.75762 .5728944 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(6,677 missing values generated) +(54,574 missing values generated) +(47,897 real changes made) +reg numb_cosponsors sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==200 & tag_bill==1, robust cluster(group_sponsor) +(sum of wgt is 52,072.0581558943) + +Linear regression Number of obs = 26,089 + F(267, 2120) = . + Prob > F = . + R-squared = 0.1457 + Root MSE = 34.62 + + (Std. Err. adjusted for 2,121 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 1.912062 .8518054 2.24 0.025 .2416 3.582523 + | + v2 | + 102 | 1.271093 1.860113 0.68 0.494 -2.376744 4.91893 + 103 | 1.043481 2.293011 0.46 0.649 -3.453305 5.540267 + 104 | 1.334706 1.83817 0.73 0.468 -2.270099 4.939512 + 105 | 1.762324 1.74589 1.01 0.313 -1.661512 5.18616 + 106 | 4.728183 2.206469 2.14 0.032 .4011133 9.055252 + 107 | 3.39004 2.045771 1.66 0.098 -.6218871 7.401967 + 108 | 3.999001 2.263221 1.77 0.077 -.4393648 8.437367 + 109 | 1.729197 1.659211 1.04 0.297 -1.524656 4.983049 + 110 | -3.659837 2.118555 -1.73 0.084 -7.814501 .4948258 + 111 | -3.81082 2.163513 -1.76 0.078 -8.05365 .4320107 + | + minor | + 101 | 1.645524 6.07953 0.27 0.787 -10.27694 13.56799 + 103 | 16.48238 13.96957 1.18 0.238 -10.91311 43.87786 + 104 | 2.47096 5.817681 0.42 0.671 -8.937999 13.87992 + 105 | 10.1861 6.394318 1.59 0.111 -2.353693 22.72589 + 107 | 16.45561 5.520322 2.98 0.003 5.629801 27.28143 + 108 | 2.103329 4.946438 0.43 0.671 -7.59705 11.80371 + 110 | 19.75178 18.00068 1.10 0.273 -15.54906 55.05263 + 200 | 17.24379 6.893287 2.50 0.012 3.725482 30.76211 + 201 | 11.05732 10.86655 1.02 0.309 -10.2529 32.36754 + 202 | 17.80623 8.679572 2.05 0.040 .7848657 34.8276 + 204 | 1.679733 6.341561 0.26 0.791 -10.7566 14.11606 + 205 | 57.82153 42.22772 1.37 0.171 -24.99056 140.6336 + 206 | 22.93232 8.25626 2.78 0.006 6.741106 39.12354 + 207 | 8.352193 9.955873 0.84 0.402 -11.17211 27.87649 + 208 | 11.40376 5.570904 2.05 0.041 .478747 22.32876 + 209 | -8.557916 4.93368 -1.73 0.083 -18.23327 1.117443 + 299 | 90.96376 18.16992 5.01 0.000 55.33102 126.5965 + 300 | 20.27202 11.89878 1.70 0.089 -3.062489 43.60653 + 301 | 11.89963 6.24682 1.90 0.057 -.3509052 24.15017 + 302 | 13.39516 6.645277 2.02 0.044 .3632167 26.4271 + 321 | 21.40706 11.90886 1.80 0.072 -1.947219 44.76134 + 322 | 8.554416 6.480337 1.32 0.187 -4.154067 21.2629 + 323 | 6.137326 6.526007 0.94 0.347 -6.660718 18.93537 + 324 | -2.475025 5.625556 -0.44 0.660 -13.50721 8.557162 + 325 | 17.03689 11.13345 1.53 0.126 -4.796731 38.87051 + 331 | 37.22548 8.981514 4.14 0.000 19.61198 54.83898 + 332 | 14.54221 5.563845 2.61 0.009 3.631047 25.45338 + 333 | 16.05168 15.28333 1.05 0.294 -13.92019 46.02356 + 334 | 13.5802 7.032529 1.93 0.054 -.2111769 27.37158 + 335 | 14.70182 11.65795 1.26 0.207 -8.1604 37.56403 + 336 | 39.3948 17.71973 2.22 0.026 4.644919 74.14467 + 341 | 14.00169 7.551258 1.85 0.064 -.8069622 28.81033 + 342 | 6.845812 8.219515 0.83 0.405 -9.273343 22.96497 + 343 | 5.114035 5.819602 0.88 0.380 -6.298691 16.52676 + 344 | 41.22261 12.15046 3.39 0.001 17.39454 65.05069 + 398 | 26.40705 8.250144 3.20 0.001 10.22783 42.58627 + 399 | 12.65015 7.958723 1.59 0.112 -2.957573 28.25787 + 400 | 1.799353 5.417797 0.33 0.740 -8.825399 12.4241 + 401 | 6.621267 7.342601 0.90 0.367 -7.778188 21.02072 + 402 | 7.991449 5.219033 1.53 0.126 -2.243511 18.22641 + 403 | 20.35649 7.842198 2.60 0.010 4.977286 35.7357 + 404 | 6.852907 5.030986 1.36 0.173 -3.013278 16.71909 + 405 | 3.153292 6.33492 0.50 0.619 -9.270016 15.5766 + 498 | 10.10786 8.557749 1.18 0.238 -6.674599 26.89033 + 499 | 16.87682 11.42451 1.48 0.140 -5.527606 39.28125 + 500 | 3.610511 6.369885 0.57 0.571 -8.881366 16.10239 + 501 | 6.636579 5.732142 1.16 0.247 -4.604631 17.87779 + 502 | 12.90846 7.506817 1.72 0.086 -1.81303 27.62996 + 503 | 10.27083 5.838587 1.76 0.079 -1.179129 21.72078 + 504 | 25.04906 5.627953 4.45 0.000 14.01218 36.08595 + 505 | 12.01939 6.758146 1.78 0.075 -1.233902 25.27268 + 506 | 8.343441 7.383414 1.13 0.259 -6.136052 22.82293 + 508 | 5.407035 6.495646 0.83 0.405 -7.33147 18.14554 + 529 | 19.96166 8.951451 2.23 0.026 2.407115 37.5162 + 530 | 7.414559 4.848469 1.53 0.126 -2.093693 16.92281 + 599 | 12.55594 10.03046 1.25 0.211 -7.114629 32.2265 + 600 | 15.25667 6.658402 2.29 0.022 2.19899 28.31435 + 601 | 8.939706 5.092367 1.76 0.079 -1.046852 18.92626 + 602 | 17.24162 6.622666 2.60 0.009 4.254017 30.22922 + 603 | 13.46093 6.030146 2.23 0.026 1.635305 25.28655 + 604 | .5555685 5.03136 0.11 0.912 -9.311348 10.42249 + 606 | 16.28194 6.437293 2.53 0.012 3.657867 28.90601 + 607 | 14.73802 7.16706 2.06 0.040 .6828127 28.79322 + 609 | 6.015438 5.968999 1.01 0.314 -5.690269 17.72114 + 698 | 4.231232 7.008977 0.60 0.546 -9.513957 17.97642 + 699 | -.7420216 5.452231 -0.14 0.892 -11.4343 9.950259 + 700 | 2.034981 5.023376 0.41 0.685 -7.816279 11.88624 + 701 | 15.17525 10.84799 1.40 0.162 -6.098564 36.44906 + 703 | -3.613223 4.867603 -0.74 0.458 -13.159 5.932553 + 704 | .7304646 5.155526 0.14 0.887 -9.379952 10.84088 + 705 | 12.36373 7.356431 1.68 0.093 -2.062849 26.7903 + 707 | 2.501509 6.78527 0.37 0.712 -10.80497 15.80799 + 708 | 16.83738 8.917693 1.89 0.059 -.650958 34.32573 + 709 | 11.73223 5.311499 2.21 0.027 1.315935 22.14852 + 710 | 1.948084 5.09517 0.38 0.702 -8.043971 11.94014 + 711 | 2.759402 4.843921 0.57 0.569 -6.739931 12.25874 + 798 | .5513828 6.294528 0.09 0.930 -11.79271 12.89548 + 799 | 11.26914 6.49479 1.74 0.083 -1.467684 24.00597 + 800 | -3.122884 5.148778 -0.61 0.544 -13.22007 6.9743 + 801 | -2.419254 5.218836 -0.46 0.643 -12.65383 7.81532 + 802 | -.9815755 5.369518 -0.18 0.855 -11.51165 9.548498 + 803 | 6.066261 5.03223 1.21 0.228 -3.802362 15.93488 + 805 | -3.684998 5.007335 -0.74 0.462 -13.5048 6.134805 + 806 | 3.831828 5.201268 0.74 0.461 -6.368294 14.03195 + 807 | 5.078608 5.145801 0.99 0.324 -5.012738 15.16995 + 898 | 2.542599 5.216053 0.49 0.626 -7.686518 12.77171 + 899 | -6.158634 5.811089 -1.06 0.289 -17.55466 5.237396 + 1000 | .0155048 5.914537 0.00 0.998 -11.5834 11.61441 + 1001 | 7.686814 6.088944 1.26 0.207 -4.254114 19.62774 + 1002 | 6.295004 5.466294 1.15 0.250 -4.424856 17.01486 + 1003 | 6.348958 5.85546 1.08 0.278 -5.13409 17.832 + 1005 | -1.181787 5.207168 -0.23 0.820 -11.39348 9.029905 + 1006 | 11.99319 6.756123 1.78 0.076 -1.256135 25.24251 + 1007 | .2496388 4.699996 0.05 0.958 -8.967446 9.466724 + 1010 | 1.567243 6.216 0.25 0.801 -10.62285 13.75734 + 1098 | -6.671665 4.636448 -1.44 0.150 -15.76413 2.420797 + 1099 | 9.056918 12.05527 0.75 0.453 -14.58447 32.6983 + 1200 | 2.80993 6.928874 0.41 0.685 -10.77817 16.39803 + 1201 | 5.861372 5.725157 1.02 0.306 -5.36614 17.08888 + 1202 | .7221375 6.700597 0.11 0.914 -12.41829 13.86257 + 1203 | 5.839281 5.4399 1.07 0.283 -4.828818 16.50738 + 1204 | 5.329107 5.20979 1.02 0.306 -4.887728 15.54594 + 1205 | 1.906546 5.525836 0.35 0.730 -8.930081 12.74317 + 1206 | -1.82213 5.008825 -0.36 0.716 -11.64486 8.000595 + 1207 | 7.943025 5.485951 1.45 0.148 -2.815384 18.70143 + 1208 | 16.53165 5.915066 2.79 0.005 4.93171 28.13159 + 1209 | 14.07345 5.400577 2.61 0.009 3.482467 24.66443 + 1210 | 7.39822 5.376973 1.38 0.169 -3.146473 17.94291 + 1211 | 20.78744 11.89843 1.75 0.081 -2.546384 44.12126 + 1299 | 7.334437 6.508606 1.13 0.260 -5.429484 20.09836 + 1300 | 18.7102 8.890454 2.10 0.035 1.275276 36.14512 + 1301 | 8.208794 7.153226 1.15 0.251 -5.819281 22.23687 + 1302 | 2.036894 7.278634 0.28 0.780 -12.23712 16.3109 + 1303 | 5.361381 5.292804 1.01 0.311 -5.018251 15.74101 + 1304 | 11.15681 7.110932 1.57 0.117 -2.788324 25.10194 + 1305 | 17.71998 12.21902 1.45 0.147 -6.242537 41.68251 + 1399 | 1.586332 9.656336 0.16 0.870 -17.35055 20.52321 + 1400 | 12.01726 6.251974 1.92 0.055 -.2433866 24.2779 + 1401 | 18.27997 7.452724 2.45 0.014 3.664551 32.89538 + 1403 | 4.047051 6.54465 0.62 0.536 -8.787554 16.88166 + 1404 | 2.59444 5.606305 0.46 0.644 -8.399993 13.58887 + 1405 | .5419387 5.145601 0.11 0.916 -9.549015 10.63289 + 1406 | 11.27145 9.606817 1.17 0.241 -7.568326 30.11122 + 1407 | 10.80199 6.909132 1.56 0.118 -2.747399 24.35137 + 1408 | 39.45849 26.80351 1.47 0.141 -13.10545 92.02242 + 1409 | 25.93407 12.43939 2.08 0.037 1.53938 50.32875 + 1410 | 15.47821 5.957633 2.60 0.009 3.794791 27.16162 + 1499 | 3.86369 6.296042 0.61 0.539 -8.483374 16.21075 + 1500 | 5.062536 6.876157 0.74 0.462 -8.422183 18.54725 + 1501 | 7.936368 5.121156 1.55 0.121 -2.106648 17.97938 + 1502 | 5.233744 5.305315 0.99 0.324 -5.170422 15.63791 + 1504 | 11.06225 6.248491 1.77 0.077 -1.191566 23.31606 + 1505 | 9.730615 5.620242 1.73 0.084 -1.291149 20.75238 + 1507 | 18.94882 14.83239 1.28 0.202 -10.13875 48.03638 + 1520 | 16.27551 14.53715 1.12 0.263 -12.23306 44.78407 + 1521 | 4.632989 4.884305 0.95 0.343 -4.945543 14.21152 + 1522 | 4.183604 5.718624 0.73 0.465 -7.031095 15.3983 + 1523 | 5.01015 4.732173 1.06 0.290 -4.270038 14.29034 + 1524 | 32.3918 18.14267 1.79 0.074 -3.187491 67.9711 + 1525 | 5.822912 5.782846 1.01 0.314 -5.517732 17.16356 + 1526 | 11.92984 6.911331 1.73 0.084 -1.623854 25.48354 + 1599 | 37.02722 24.36798 1.52 0.129 -10.76042 84.81487 + 1600 | 17.06527 16.85773 1.01 0.312 -15.99414 50.12468 + 1602 | 11.03285 11.30194 0.98 0.329 -11.13119 33.19689 + 1603 | 6.804562 8.556032 0.80 0.427 -9.974533 23.58366 + 1604 | 12.20087 6.493959 1.88 0.060 -.5343308 24.93606 + 1605 | 16.43735 7.102333 2.31 0.021 2.509077 30.36562 + 1606 | .0336617 6.508282 0.01 0.996 -12.72962 12.79695 + 1608 | 14.00106 6.144275 2.28 0.023 1.951627 26.0505 + 1609 | 13.66755 5.811291 2.35 0.019 2.271121 25.06398 + 1610 | 6.661011 9.606132 0.69 0.488 -12.17742 25.49944 + 1611 | .1583781 6.001332 0.03 0.979 -11.61074 11.92749 + 1612 | 5.829621 6.200484 0.94 0.347 -6.330046 17.98929 + 1614 | -8.783886 5.157543 -1.70 0.089 -18.89826 1.330487 + 1615 | 1.563835 4.914318 0.32 0.750 -8.073553 11.20122 + 1616 | -8.612117 4.897413 -1.76 0.079 -18.21635 .9921193 + 1617 | 10.22482 7.128671 1.43 0.152 -3.755101 24.20474 + 1619 | -.1678085 7.0994 -0.02 0.981 -14.09033 13.75471 + 1620 | -3.584478 4.892447 -0.73 0.464 -13.17898 6.01002 + 1698 | -13.1225 6.50419 -2.02 0.044 -25.87776 -.3672373 + 1699 | 12.10942 7.041981 1.72 0.086 -1.700492 25.91934 + 1700 | 22.07085 14.20951 1.55 0.121 -5.795186 49.93689 + 1701 | 2.335848 5.136054 0.45 0.649 -7.736383 12.40808 + 1704 | 1.168762 5.316715 0.22 0.826 -9.257761 11.59529 + 1705 | -8.652338 5.661318 -1.53 0.127 -19.75466 2.449979 + 1706 | 12.04615 6.1798 1.95 0.051 -.0729562 24.16525 + 1707 | 14.14443 6.280382 2.25 0.024 1.828074 26.46078 + 1708 | 1.864231 4.700737 0.40 0.692 -7.354307 11.08277 + 1709 | 19.02586 6.198622 3.07 0.002 6.869839 31.18187 + 1798 | 23.88297 11.4535 2.09 0.037 1.421703 46.34425 + 1799 | -1.857432 5.115512 -0.36 0.717 -11.88938 8.174514 + 1800 | -2.501086 5.213598 -0.48 0.631 -12.72539 7.723216 + 1802 | -1.090719 4.983712 -0.22 0.827 -10.86419 8.682756 + 1803 | 17.37631 9.624003 1.81 0.071 -1.497167 36.24978 + 1804 | 2.648141 5.165092 0.51 0.608 -7.481037 12.77732 + 1806 | -.9454791 4.657 -0.20 0.839 -10.07825 8.187287 + 1807 | -8.639391 4.827582 -1.79 0.074 -18.10668 .8279002 + 1808 | -6.094917 5.473485 -1.11 0.266 -16.82888 4.639044 + 1899 | 7.01341 13.72826 0.51 0.609 -19.90886 33.93568 + 1900 | 1.1042 5.476924 0.20 0.840 -9.636506 11.84491 + 1901 | 8.047318 5.359471 1.50 0.133 -2.463052 18.55769 + 1902 | 33.53515 15.92111 2.11 0.035 2.312521 64.75778 + 1905 | 12.75087 9.675179 1.32 0.188 -6.222969 31.7247 + 1906 | 7.277493 5.118312 1.42 0.155 -2.759945 17.31493 + 1907 | 3.358804 7.967531 0.42 0.673 -12.26619 18.9838 + 1908 | 4.703076 7.5679 0.62 0.534 -10.13821 19.54436 + 1909 | 1.874438 6.001106 0.31 0.755 -9.894233 13.64311 + 1910 | 25.88047 7.529294 3.44 0.001 11.1149 40.64605 + 1911 | 6.96287 6.102597 1.14 0.254 -5.004833 18.93057 + 1912 | -3.832661 4.546881 -0.84 0.399 -12.74947 5.084152 + 1914 | 9.250723 5.53198 1.67 0.095 -1.597953 20.0994 + 1915 | -5.477675 5.13198 -1.07 0.286 -15.54192 4.586567 + 1919 | 5.78935 5.093783 1.14 0.256 -4.199984 15.77869 + 1920 | 41.5198 11.95257 3.47 0.001 18.07982 64.95979 + 1925 | 19.64372 6.294022 3.12 0.002 7.300622 31.98683 + 1926 | 12.65207 5.712413 2.21 0.027 1.449548 23.85459 + 1927 | 6.479461 5.598804 1.16 0.247 -4.500261 17.45918 + 1929 | 17.05069 7.444513 2.29 0.022 2.451373 31.65 + 1999 | -.8839911 5.718459 -0.15 0.877 -12.09837 10.33038 + 2000 | -.6117501 4.828504 -0.13 0.899 -10.08085 8.85735 + 2001 | .8222101 4.778037 0.17 0.863 -8.54792 10.19234 + 2002 | 11.88509 6.293968 1.89 0.059 -.4579052 24.22809 + 2003 | 30.56049 12.71691 2.40 0.016 5.621569 55.49941 + 2004 | 4.577217 5.427281 0.84 0.399 -6.066136 15.22057 + 2005 | 2.298469 6.258267 0.37 0.713 -9.974516 14.57145 + 2006 | 117.0552 25.5199 4.59 0.000 67.00852 167.1019 + 2007 | 6.113085 7.938905 0.77 0.441 -9.455772 21.68194 + 2008 | 10.2932 5.227652 1.97 0.049 .0413407 20.54507 + 2009 | 4.85731 7.466241 0.65 0.515 -9.784613 19.49923 + 2011 | 3.040921 4.714346 0.65 0.519 -6.204305 12.28615 + 2012 | -.0089386 4.885263 -0.00 0.999 -9.589347 9.57147 + 2013 | 5.735686 5.92686 0.97 0.333 -5.887382 17.35875 + 2014 | 2.789419 5.562352 0.50 0.616 -8.118817 13.69766 + 2015 | .8424767 6.166827 0.14 0.891 -11.25119 12.93614 + 2030 | 48.37198 32.78703 1.48 0.140 -15.92612 112.6701 + 2099 | 16.06797 9.598001 1.67 0.094 -2.754513 34.89045 + 2100 | 3.022989 5.398625 0.56 0.576 -7.564167 13.61014 + 2101 | 6.673066 4.817791 1.39 0.166 -2.775025 16.12116 + 2102 | 1.078798 4.751057 0.23 0.820 -8.238422 10.39602 + 2103 | 1.015398 4.784814 0.21 0.832 -8.368023 10.39882 + 2104 | -.7225769 4.617758 -0.16 0.876 -9.778387 8.333233 + 2105 | 9.977071 7.916692 1.26 0.208 -5.548225 25.50237 + 2199 | 2.19744 5.768566 0.38 0.703 -9.1152 13.51008 + 9999 | 23.31306 12.95619 1.80 0.072 -2.095105 48.72123 + | + house_administration | .6337261 2.141132 0.30 0.767 -3.565213 4.832665 + house_agriculture | 3.930886 1.518428 2.59 0.010 .9531215 6.90865 + house_appropriations | 4.635231 3.136437 1.48 0.140 -1.515584 10.78605 + house_armedservices | 4.782 3.885368 1.23 0.219 -2.837531 12.40153 + house_budget | 6.26919 3.298739 1.90 0.058 -.199912 12.73829 + house_dc | 2.065484 3.128297 0.66 0.509 -4.069367 8.200335 + house_educlabor | -.1087182 1.943108 -0.06 0.955 -3.919315 3.701879 + house_energycommerce | 6.078612 1.543424 3.94 0.000 3.051829 9.105395 + house_foreignaffairs | 1.679526 2.724316 0.62 0.538 -3.663084 7.022137 + house_governmentop | 10.45274 3.550704 2.94 0.003 3.489514 17.41597 + house_intelligence | 3.540956 7.008681 0.51 0.613 -10.20365 17.28557 + house_interior | -1.585951 2.18531 -0.73 0.468 -5.871528 2.699625 + house_judiciary | 4.920212 1.538916 3.20 0.001 1.90227 7.938155 + house_mmf | 1.340955 2.160698 0.62 0.535 -2.896354 5.578264 + house_pocs | 8.005988 5.290511 1.51 0.130 -2.369147 18.38112 + house_pwt | 1.28645 2.610015 0.49 0.622 -3.832007 6.404908 + house_rules | 3.436532 2.511725 1.37 0.171 -1.48917 8.362234 + house_sst | 6.644626 4.896311 1.36 0.175 -2.957449 16.2467 + house_smallbusi | -4.522955 2.47108 -1.83 0.067 -9.36895 .3230394 + house_soc | -.8042158 4.03984 -0.20 0.842 -8.726681 7.118249 + house_veterans | -.7953798 2.630759 -0.30 0.762 -5.954519 4.363759 + house_waysandmeans | 5.375939 2.110883 2.55 0.011 1.236321 9.515557 +house_naturalresources | 3.281211 1.995329 1.64 0.100 -.6317965 7.194218 + house_bfs | -1.664188 1.889411 -0.88 0.379 -5.36948 2.041104 + house_eeo | 1.353457 3.769374 0.36 0.720 -6.038602 8.745515 + house_govreform | -2.044698 2.426136 -0.84 0.399 -6.802554 2.713158 + house_ir | .7880371 2.621666 0.30 0.764 -4.353268 5.929342 + house_natsecur | 6.451946 4.765547 1.35 0.176 -2.893691 15.79758 + house_oversight | 8.552532 2.367148 3.61 0.000 3.910357 13.19471 + house_resources | -2.710564 1.271926 -2.13 0.033 -5.204918 -.2162101 + house_science | -1.141705 2.553907 -0.45 0.655 -6.15013 3.86672 + house_transp | 3.092056 1.534695 2.01 0.044 .082392 6.101721 + house_homeland | -1.325716 2.01074 -0.66 0.510 -5.268945 2.617512 + _cons | 1.908507 4.787646 0.40 0.690 -7.480467 11.29748 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,121 1 0 1 1 + + +j = 5 k = 1 + + +rdbwselect_2014 numb_cosponsors MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11990 +----------------------+---------------------- NN matches = 3 + Number of obs | 6151 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 25.22792 46.13311 .5468506 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(7,341 missing values generated) +(54,749 missing values generated) +(47,408 real changes made) +reg numb_cosponsors sponsor_female i.v2 i.minor house_* [aw=wt] if tag_bill==1, robust cluster(group_sponsor) +(sum of wgt is 111,694.626223445) + +Linear regression Number of obs = 55,008 + F(268, 4357) = . + Prob > F = . + R-squared = 0.1185 + Root MSE = 33.495 + + (Std. Err. adjusted for 4,358 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -.0826144 .6729307 -0.12 0.902 -1.401901 1.236672 + | + v2 | + 102 | .2128557 1.828453 0.12 0.907 -3.371841 3.797553 + 103 | -3.608969 2.154533 -1.68 0.094 -7.832951 .6150121 + 104 | .2626158 1.785517 0.15 0.883 -3.237906 3.763138 + 105 | 1.732837 1.846717 0.94 0.348 -1.887668 5.353342 + 106 | 3.084517 1.96264 1.57 0.116 -.7632557 6.93229 + 107 | 3.411479 1.961133 1.74 0.082 -.4333396 7.256298 + 108 | 4.409456 1.890858 2.33 0.020 .7024126 8.1165 + 109 | 2.255193 1.68071 1.34 0.180 -1.039853 5.55024 + 110 | 2.943089 1.939737 1.52 0.129 -.8597817 6.745959 + 111 | -1.378712 2.377004 -0.58 0.562 -6.03885 3.281425 + | + minor | + 101 | 4.599405 4.259924 1.08 0.280 -3.752212 12.95102 + 103 | 1.290931 5.085333 0.25 0.800 -8.678908 11.26077 + 104 | 8.714972 3.755447 2.32 0.020 1.352386 16.07756 + 105 | 18.77709 5.414721 3.47 0.001 8.161482 29.3927 + 107 | 15.78688 4.204295 3.75 0.000 7.544326 24.02944 + 108 | 13.63257 4.609372 2.96 0.003 4.595855 22.66928 + 110 | 21.47034 14.05886 1.53 0.127 -6.092175 49.03286 + 200 | 23.82153 5.085534 4.68 0.000 13.85129 33.79176 + 201 | 13.39999 5.341325 2.51 0.012 2.928279 23.87171 + 202 | 69.53452 12.35054 5.63 0.000 45.32118 93.74786 + 204 | -3.065182 7.267456 -0.42 0.673 -17.31309 11.18273 + 205 | 74.9779 29.04868 2.58 0.010 18.02772 131.9281 + 206 | 15.96459 5.581966 2.86 0.004 5.021095 26.90808 + 207 | 36.81163 6.82055 5.40 0.000 23.43988 50.18337 + 208 | 12.09811 4.262038 2.84 0.005 3.74235 20.45387 + 209 | 15.68971 10.35764 1.51 0.130 -4.616541 35.99595 + 299 | 78.02696 18.37505 4.25 0.000 42.00251 114.0514 + 300 | 18.02548 5.729559 3.15 0.002 6.79263 29.25833 + 301 | 18.85799 4.765481 3.96 0.000 9.515228 28.20076 + 302 | 16.92583 4.216032 4.01 0.000 8.660266 25.1914 + 321 | 25.80647 11.08091 2.33 0.020 4.082247 47.53068 + 322 | 8.589264 4.301442 2.00 0.046 .1562505 17.02228 + 323 | 12.56373 5.884644 2.14 0.033 1.02683 24.10062 + 324 | 8.928361 4.222092 2.11 0.035 .6509133 17.20581 + 325 | 18.23565 6.07363 3.00 0.003 6.328251 30.14306 + 331 | 33.94999 5.349382 6.35 0.000 23.46248 44.4375 + 332 | 15.27492 4.496618 3.40 0.001 6.459267 24.09058 + 333 | 23.96884 6.915258 3.47 0.001 10.41142 37.52627 + 334 | 20.34968 5.101042 3.99 0.000 10.34904 30.35032 + 335 | 15.70843 7.029873 2.23 0.025 1.926307 29.49056 + 336 | 30.52911 7.678783 3.98 0.000 15.47479 45.58343 + 341 | 16.69438 4.163818 4.01 0.000 8.531183 24.85758 + 342 | 14.8948 6.446077 2.31 0.021 2.257205 27.53239 + 343 | 11.53286 4.312537 2.67 0.008 3.078097 19.98763 + 344 | 11.70922 5.698711 2.05 0.040 .5368437 22.88159 + 398 | 27.3504 7.300882 3.75 0.000 13.03696 41.66384 + 399 | 13.91918 4.619886 3.01 0.003 4.861854 22.97651 + 400 | 12.0373 6.117093 1.97 0.049 .0446868 24.02991 + 401 | 5.974287 4.25875 1.40 0.161 -2.375029 14.3236 + 402 | 10.52305 3.392898 3.10 0.002 3.871242 17.17486 + 403 | 12.42934 3.971476 3.13 0.002 4.643223 20.21545 + 404 | 13.33289 4.171593 3.20 0.001 5.154447 21.51134 + 405 | 19.69843 5.5815 3.53 0.000 8.755851 30.64101 + 498 | 13.41345 4.931709 2.72 0.007 3.744794 23.08211 + 499 | 14.21078 6.423868 2.21 0.027 1.616735 26.80483 + 500 | 3.181924 3.988392 0.80 0.425 -4.637352 11.0012 + 501 | 11.11454 4.341261 2.56 0.010 2.603459 19.62562 + 502 | 9.326536 5.342024 1.75 0.081 -1.146548 19.79962 + 503 | 11.84867 4.718746 2.51 0.012 2.597526 21.09981 + 504 | 25.36676 5.692219 4.46 0.000 14.20712 36.52641 + 505 | 13.33397 4.395322 3.03 0.002 4.716905 21.95104 + 506 | 21.5051 5.507867 3.90 0.000 10.70688 32.30332 + 508 | 11.90912 4.913917 2.42 0.015 2.275339 21.54289 + 529 | 14.45786 6.081411 2.38 0.017 2.535199 26.38052 + 530 | 10.21776 3.685011 2.77 0.006 2.993268 17.44226 + 599 | 16.18771 6.654032 2.43 0.015 3.142424 29.233 + 600 | 15.24263 5.217053 2.92 0.003 5.014555 25.47071 + 601 | 13.73517 3.926809 3.50 0.000 6.036623 21.43371 + 602 | 16.04252 4.834862 3.32 0.001 6.563736 25.52131 + 603 | 16.06614 4.738278 3.39 0.001 6.77671 25.35558 + 604 | 5.965933 4.439355 1.34 0.179 -2.73746 14.66933 + 606 | 13.02914 5.847478 2.23 0.026 1.565111 24.49317 + 607 | 15.74168 4.216598 3.73 0.000 7.475003 24.00836 + 609 | 15.28013 5.409118 2.82 0.005 4.675506 25.88475 + 698 | 1.70387 4.140218 0.41 0.681 -6.413063 9.820802 + 699 | 11.00608 4.832716 2.28 0.023 1.531497 20.48066 + 700 | 10.19375 3.567376 2.86 0.004 3.199878 17.18762 + 701 | 15.65758 5.248926 2.98 0.003 5.36701 25.94814 + 703 | 6.867977 3.557659 1.93 0.054 -.106844 13.8428 + 704 | 6.651168 3.680169 1.81 0.071 -.5638355 13.86617 + 705 | 11.78792 4.141699 2.85 0.004 3.668083 19.90776 + 707 | 16.04876 8.835868 1.82 0.069 -1.274039 33.37155 + 708 | 16.56249 4.6688 3.55 0.000 7.409265 25.71571 + 709 | 16.70992 3.756332 4.45 0.000 9.3456 24.07424 + 710 | 11.91123 3.448413 3.45 0.001 5.150586 18.67187 + 711 | 15.82077 4.407141 3.59 0.000 7.180536 24.46101 + 798 | 11.30211 4.080325 2.77 0.006 3.302593 19.30162 + 799 | 14.33395 5.927322 2.42 0.016 2.713381 25.95451 + 800 | 8.134261 4.349814 1.87 0.062 -.3935874 16.66211 + 801 | 4.729027 3.564952 1.33 0.185 -2.260092 11.71815 + 802 | 5.624807 3.939529 1.43 0.153 -2.098674 13.34829 + 803 | 9.48032 3.563465 2.66 0.008 2.494116 16.46652 + 805 | 2.369163 3.807903 0.62 0.534 -5.096264 9.834589 + 806 | 8.078959 3.688611 2.19 0.029 .8474055 15.31051 + 807 | 9.84926 4.076177 2.42 0.016 1.85788 17.84064 + 898 | 10.6344 5.133306 2.07 0.038 .5705122 20.69829 + 899 | 2.515492 4.783006 0.53 0.599 -6.861632 11.89262 + 1000 | 6.282263 3.969718 1.58 0.114 -1.500403 14.06493 + 1001 | 6.538021 3.645184 1.79 0.073 -.6083932 13.68444 + 1002 | 8.308698 3.951162 2.10 0.036 .5624121 16.05498 + 1003 | 9.755853 3.889718 2.51 0.012 2.130027 17.38168 + 1005 | 6.392399 4.081822 1.57 0.117 -1.610049 14.39485 + 1006 | 38.21945 16.81771 2.27 0.023 5.248182 71.19072 + 1007 | 7.960377 2.930491 2.72 0.007 2.215124 13.70563 + 1010 | 10.18585 4.848532 2.10 0.036 .6802573 19.69144 + 1098 | -.001028 3.592638 -0.00 1.000 -7.044427 7.042371 + 1099 | 13.33595 8.9962 1.48 0.138 -4.301179 30.97308 + 1200 | 14.86084 5.651852 2.63 0.009 3.780331 25.94134 + 1201 | 11.15922 3.609786 3.09 0.002 4.082207 18.23624 + 1202 | 4.804817 4.381067 1.10 0.273 -3.784303 13.39394 + 1203 | 10.53329 4.175488 2.52 0.012 2.347212 18.71937 + 1204 | 6.881085 3.986493 1.73 0.084 -.934469 14.69664 + 1205 | 9.960065 4.110328 2.42 0.015 1.90173 18.0184 + 1206 | 6.99035 4.284981 1.63 0.103 -1.410393 15.39109 + 1207 | 9.482194 5.553007 1.71 0.088 -1.404524 20.36891 + 1208 | 22.9376 4.855632 4.72 0.000 13.4181 32.45711 + 1209 | 16.80056 3.855423 4.36 0.000 9.241971 24.35915 + 1210 | 12.3062 3.933349 3.13 0.002 4.594832 20.01756 + 1211 | 20.41509 7.031018 2.90 0.004 6.630722 34.19946 + 1299 | 15.79877 6.830599 2.31 0.021 2.40732 29.19022 + 1300 | 23.93686 5.544479 4.32 0.000 13.06686 34.80686 + 1301 | 19.22016 5.214174 3.69 0.000 8.997723 29.44259 + 1302 | 7.378848 4.101646 1.80 0.072 -.6624643 15.42016 + 1303 | 16.8733 4.746951 3.55 0.000 7.566858 26.17973 + 1304 | 24.76699 7.231032 3.43 0.001 10.59049 38.94349 + 1305 | 19.93622 6.754904 2.95 0.003 6.693172 33.17927 + 1399 | 13.6075 10.07039 1.35 0.177 -6.13559 33.35059 + 1400 | 15.42925 4.42006 3.49 0.000 6.763682 24.09481 + 1401 | 20.02531 4.558692 4.39 0.000 11.08796 28.96267 + 1403 | 16.55841 4.8633 3.40 0.001 7.023866 26.09295 + 1404 | 9.73304 4.688954 2.08 0.038 .5403059 18.92577 + 1405 | 5.481894 3.61516 1.52 0.130 -1.605657 12.56945 + 1406 | 13.66087 4.869852 2.81 0.005 4.113481 23.20826 + 1407 | 10.1017 4.663867 2.17 0.030 .9581515 19.24526 + 1408 | 20.46055 12.45301 1.64 0.100 -3.953684 44.87478 + 1409 | 27.73008 9.763617 2.84 0.005 8.588429 46.87174 + 1410 | 16.3517 4.533788 3.61 0.000 7.463165 25.24023 + 1499 | 7.218904 4.375032 1.65 0.099 -1.358384 15.79619 + 1500 | 6.888391 4.004527 1.72 0.085 -.9625183 14.7393 + 1501 | 14.85505 4.020772 3.69 0.000 6.97229 22.73781 + 1502 | 15.7396 4.95897 3.17 0.002 6.017492 25.4617 + 1504 | 22.521 7.512202 3.00 0.003 7.793266 37.24874 + 1505 | 12.1888 4.531289 2.69 0.007 3.305167 21.07243 + 1507 | 3.02669 4.811917 0.63 0.529 -6.407114 12.46049 + 1520 | 15.23472 6.891477 2.21 0.027 1.723923 28.74552 + 1521 | 10.91871 3.918465 2.79 0.005 3.236524 18.60089 + 1522 | 7.492832 3.986217 1.88 0.060 -.3221802 15.30785 + 1523 | 7.106503 3.700052 1.92 0.055 -.1474803 14.36049 + 1524 | 22.20436 8.426724 2.63 0.008 5.683695 38.72503 + 1525 | 14.18734 4.022097 3.53 0.000 6.301989 22.0727 + 1526 | 9.965899 4.303413 2.32 0.021 1.529021 18.40278 + 1599 | 25.99283 11.39502 2.28 0.023 3.652787 48.33287 + 1600 | 7.226419 4.035338 1.79 0.073 -.6848949 15.13773 + 1602 | 20.35572 6.922595 2.94 0.003 6.78391 33.92752 + 1603 | -3.520082 9.181084 -0.38 0.701 -21.51968 14.47951 + 1604 | 11.34658 4.176206 2.72 0.007 3.15909 19.53406 + 1605 | 19.81854 4.842576 4.09 0.000 10.32463 29.31246 + 1606 | 21.89246 8.98789 2.44 0.015 4.271628 39.5133 + 1608 | 18.16931 6.948811 2.61 0.009 4.546108 31.79251 + 1609 | 17.4488 4.615714 3.78 0.000 8.399657 26.49795 + 1610 | 13.56397 4.34261 3.12 0.002 5.050249 22.0777 + 1611 | 5.488856 3.704203 1.48 0.138 -1.773265 12.75098 + 1612 | 14.32121 4.160577 3.44 0.001 6.164362 22.47805 + 1614 | 8.344349 4.507529 1.85 0.064 -.4927007 17.1814 + 1615 | 5.827398 3.519882 1.66 0.098 -1.073361 12.72816 + 1616 | 3.867608 4.753251 0.81 0.416 -5.451181 13.1864 + 1617 | 5.106327 3.793298 1.35 0.178 -2.330467 12.54312 + 1619 | 8.534947 4.025076 2.12 0.034 .6437514 16.42614 + 1620 | 3.23933 4.640855 0.70 0.485 -5.859107 12.33777 + 1698 | 3.223848 4.010583 0.80 0.422 -4.638934 11.08663 + 1699 | 42.05674 10.87839 3.87 0.000 20.72956 63.38391 + 1700 | 14.67268 5.433699 2.70 0.007 4.019869 25.32549 + 1701 | 7.319817 3.64049 2.01 0.044 .1826052 14.45703 + 1704 | 7.407085 3.856915 1.92 0.055 -.1544309 14.9686 + 1705 | 1.841095 5.750467 0.32 0.749 -9.432744 13.11493 + 1706 | 14.53244 4.893431 2.97 0.003 4.938825 24.12605 + 1707 | 12.4978 3.996253 3.13 0.002 4.663116 20.33249 + 1708 | 9.97948 3.712144 2.69 0.007 2.701791 17.25717 + 1709 | 18.4113 4.553834 4.04 0.000 9.483468 27.33913 + 1798 | 24.1137 6.819442 3.54 0.000 10.74412 37.48327 + 1799 | 12.74784 7.836393 1.63 0.104 -2.615481 28.11115 + 1800 | 8.736793 4.094616 2.13 0.033 .7092622 16.76432 + 1802 | 13.36363 4.913239 2.72 0.007 3.73118 22.99607 + 1803 | 16.55007 4.037775 4.10 0.000 8.633977 24.46616 + 1804 | 8.587378 3.892777 2.21 0.027 .9555541 16.2192 + 1806 | 11.03467 3.938876 2.80 0.005 3.312473 18.75687 + 1807 | -1.641706 3.578452 -0.46 0.646 -8.657292 5.373879 + 1808 | 12.8704 8.534659 1.51 0.132 -3.861876 29.60267 + 1899 | 4.594843 8.354691 0.55 0.582 -11.7846 20.97429 + 1900 | 8.101288 3.593559 2.25 0.024 1.056085 15.14649 + 1901 | 15.76894 3.396687 4.64 0.000 9.109704 22.42817 + 1902 | 20.00206 7.80561 2.56 0.010 4.699093 35.30502 + 1905 | 24.44356 8.821928 2.77 0.006 7.148098 41.73903 + 1906 | 13.3373 3.51675 3.79 0.000 6.442681 20.23192 + 1907 | 7.039235 5.740801 1.23 0.220 -4.215654 18.29412 + 1908 | 12.62101 5.435532 2.32 0.020 1.964599 23.27741 + 1909 | 10.75701 4.688896 2.29 0.022 1.56439 19.94963 + 1910 | 23.99448 6.86147 3.50 0.000 10.54251 37.44645 + 1911 | 16.31343 5.414223 3.01 0.003 5.698797 26.92806 + 1912 | 9.358013 11.14739 0.84 0.401 -12.49653 31.21256 + 1914 | 12.52776 3.843212 3.26 0.001 4.99311 20.06241 + 1915 | 4.000411 3.64639 1.10 0.273 -3.148368 11.14919 + 1919 | 11.94484 3.989856 2.99 0.003 4.122691 19.76699 + 1920 | 35.713 6.437131 5.55 0.000 23.09295 48.33305 + 1925 | 24.21263 6.104642 3.97 0.000 12.24442 36.18083 + 1926 | 12.87978 3.314249 3.89 0.000 6.38217 19.3774 + 1927 | 5.898564 3.581096 1.65 0.100 -1.122205 12.91933 + 1929 | 14.16237 3.898124 3.63 0.000 6.520067 21.80468 + 1999 | 11.0541 9.157955 1.21 0.227 -6.90015 29.00835 + 2000 | 6.139611 3.298732 1.86 0.063 -.3275813 12.6068 + 2001 | 13.09414 4.735717 2.76 0.006 3.809729 22.37856 + 2002 | 11.42569 3.824013 2.99 0.003 3.928676 18.9227 + 2003 | 41.91985 10.79116 3.88 0.000 20.76369 63.07602 + 2004 | 14.97865 4.825313 3.10 0.002 5.518584 24.43872 + 2005 | 7.666715 4.353991 1.76 0.078 -.8693219 16.20275 + 2006 | 81.94999 12.97173 6.32 0.000 56.51881 107.3812 + 2007 | 10.86331 5.942957 1.83 0.068 -.7879083 22.51453 + 2008 | 11.52449 3.529921 3.26 0.001 4.604046 18.44493 + 2009 | 14.42949 6.333609 2.28 0.023 2.012394 26.84658 + 2010 | -5.10053 3.662818 -1.39 0.164 -12.28152 2.080456 + 2011 | 4.239817 3.90954 1.08 0.278 -3.42487 11.9045 + 2012 | 5.730859 4.469188 1.28 0.200 -3.031023 14.49274 + 2013 | 9.656292 4.23827 2.28 0.023 1.347128 17.96546 + 2014 | 8.230347 4.134753 1.99 0.047 .1241282 16.33657 + 2015 | 5.994771 4.325318 1.39 0.166 -2.485052 14.47459 + 2030 | 42.28229 23.00938 1.84 0.066 -2.827795 87.39237 + 2099 | 22.04555 6.607878 3.34 0.001 9.090749 35.00035 + 2100 | 10.32755 6.217401 1.66 0.097 -1.861714 22.51682 + 2101 | 14.67189 4.436609 3.31 0.001 5.97388 23.3699 + 2102 | 7.725239 3.587332 2.15 0.031 .692243 14.75824 + 2103 | 9.094895 3.543227 2.57 0.010 2.148368 16.04142 + 2104 | 4.687422 3.387436 1.38 0.167 -1.953675 11.32852 + 2105 | 10.14912 5.666908 1.79 0.073 -.9609008 21.25914 + 2199 | 1.028654 4.540298 0.23 0.821 -7.87264 9.929948 + 9999 | 41.13256 9.171834 4.48 0.000 23.1511 59.11402 + | + house_administration | 4.439168 4.521149 0.98 0.326 -4.424584 13.30292 + house_agriculture | 3.213097 1.151518 2.79 0.005 .9555355 5.470659 + house_appropriations | 3.946781 2.859696 1.38 0.168 -1.659678 9.553241 + house_armedservices | -.4040394 1.631422 -0.25 0.804 -3.602456 2.794377 + house_budget | .7532795 2.35175 0.32 0.749 -3.857347 5.363906 + house_dc | -2.594106 2.627343 -0.99 0.324 -7.745034 2.556822 + house_educlabor | 5.20495 1.438012 3.62 0.000 2.385716 8.024185 + house_energycommerce | 4.6047 1.169803 3.94 0.000 2.311291 6.898108 + house_foreignaffairs | .7730748 4.07854 0.19 0.850 -7.222937 8.769087 + house_governmentop | 3.432908 1.942812 1.77 0.077 -.375992 7.241809 + house_intelligence | 15.02617 10.81271 1.39 0.165 -6.172247 36.22458 + house_interior | -1.573201 2.269436 -0.69 0.488 -6.02245 2.876047 + house_judiciary | 5.090931 1.230775 4.14 0.000 2.677986 7.503876 + house_mmf | -.7596544 1.787199 -0.43 0.671 -4.263472 2.744164 + house_pocs | 8.609628 2.958835 2.91 0.004 2.808807 14.41045 + house_pwt | 6.987722 2.931415 2.38 0.017 1.240658 12.73479 + house_rules | 1.966942 2.08562 0.94 0.346 -2.121934 6.055817 + house_sst | 6.562696 2.659026 2.47 0.014 1.349653 11.77574 + house_smallbusi | -4.440429 2.278555 -1.95 0.051 -8.907555 .0266972 + house_soc | 7.295211 6.815532 1.07 0.285 -6.066698 20.65712 + house_veterans | 3.442128 3.138268 1.10 0.273 -2.710475 9.59473 + house_waysandmeans | 3.342137 .9945866 3.36 0.001 1.392241 5.292033 +house_naturalresources | -2.104911 1.692962 -1.24 0.214 -5.423977 1.214155 + house_bfs | -2.159384 1.430629 -1.51 0.131 -4.964144 .6453765 + house_eeo | -.2181289 2.313857 -0.09 0.925 -4.754465 4.318208 + house_govreform | 2.419266 1.296033 1.87 0.062 -.121617 4.960149 + house_ir | 3.324221 1.869385 1.78 0.075 -.3407233 6.989166 + house_natsecur | 1.935438 2.499364 0.77 0.439 -2.964587 6.835462 + house_oversight | 5.409439 2.214574 2.44 0.015 1.067748 9.751129 + house_resources | -3.066846 1.719288 -1.78 0.075 -6.437525 .3038334 + house_science | -.9869263 1.443845 -0.68 0.494 -3.817598 1.843745 + house_transp | 1.16785 1.442535 0.81 0.418 -1.660253 3.995952 + house_homeland | -1.117271 1.41723 -0.79 0.431 -3.895762 1.66122 + _cons | -1.850875 3.561059 -0.52 0.603 -8.832362 5.130612 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,358 1 0 1 1 + + +j = 5 k = 2 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6187 +----------------------+---------------------- NN matches = 3 + Number of obs | 2193 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 29.70309 50.99673 .5824509 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(7,341 missing values generated) +(54,749 missing values generated) +(47,408 real changes made) +reg numb_cosponsors sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==100 & tag_bill==1, robust cluster(group_sponsor) +(sum of wgt is 59,028.2311469316) + +Linear regression Number of obs = 29,364 + F(268, 2264) = . + Prob > F = . + R-squared = 0.1295 + Root MSE = 34.577 + + (Std. Err. adjusted for 2,265 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | .3014573 .9501317 0.32 0.751 -1.561763 2.164677 + | + v2 | + 102 | -1.809564 2.283594 -0.79 0.428 -6.28772 2.668592 + 103 | -5.290155 1.91209 -2.77 0.006 -9.039787 -1.540523 + 104 | -5.941983 2.182666 -2.72 0.007 -10.22222 -1.661749 + 105 | -1.628686 2.692272 -0.60 0.545 -6.908266 3.650893 + 106 | -1.716303 2.442757 -0.70 0.482 -6.50658 3.073973 + 107 | -1.418273 2.536846 -0.56 0.576 -6.393059 3.556514 + 108 | .66812 2.474238 0.27 0.787 -4.183891 5.520131 + 109 | -2.696777 2.138047 -1.26 0.207 -6.889513 1.495959 + 110 | 1.216788 2.457382 0.50 0.621 -3.602168 6.035744 + 111 | -4.894661 2.662484 -1.84 0.066 -10.11583 .3265041 + | + minor | + 101 | -3.392767 4.02377 -0.84 0.399 -11.28343 4.497895 + 103 | -13.9238 3.957182 -3.52 0.000 -21.68388 -6.163714 + 104 | -.1570604 3.654999 -0.04 0.966 -7.324559 7.010438 + 105 | 6.211904 4.42117 1.41 0.160 -2.458065 14.88187 + 107 | 5.280628 4.577488 1.15 0.249 -3.695882 14.25714 + 108 | 9.048322 5.262662 1.72 0.086 -1.271823 19.36847 + 110 | 1.063785 9.796336 0.11 0.914 -18.14695 20.27452 + 200 | 20.86514 7.041471 2.96 0.003 7.05673 34.67355 + 201 | 4.205062 5.432917 0.77 0.439 -6.448955 14.85908 + 202 | 69.99249 10.60679 6.60 0.000 49.19244 90.79254 + 204 | 12.36743 10.38595 1.19 0.234 -7.999551 32.73441 + 205 | 136.7804 32.8464 4.16 0.000 72.36816 201.1926 + 206 | 2.144822 5.650013 0.38 0.704 -8.934923 13.22457 + 207 | 36.73926 7.274642 5.05 0.000 22.4736 51.00493 + 208 | .6427978 3.853502 0.17 0.868 -6.913967 8.199563 + 209 | 9.028273 12.58783 0.72 0.473 -15.65661 33.71316 + 299 | 9.334146 12.99499 0.72 0.473 -16.14918 34.81747 + 300 | 3.900844 4.726928 0.83 0.409 -5.368721 13.17041 + 301 | 8.466737 4.956726 1.71 0.088 -1.253465 18.18694 + 302 | 6.32158 4.010496 1.58 0.115 -1.543052 14.18621 + 321 | 13.70584 10.8457 1.26 0.206 -7.562711 34.97439 + 322 | -3.756684 3.698785 -1.02 0.310 -11.01005 3.496679 + 323 | 4.000691 5.425072 0.74 0.461 -6.637942 14.63932 + 324 | -2.075302 4.116108 -0.50 0.614 -10.14704 5.996437 + 325 | 9.460111 6.104867 1.55 0.121 -2.511609 21.43183 + 331 | 23.82699 5.566113 4.28 0.000 12.91177 34.7422 + 332 | 7.567384 4.393837 1.72 0.085 -1.048985 16.18375 + 333 | 14.76247 4.970633 2.97 0.003 5.014992 24.50994 + 334 | 15.73072 5.318012 2.96 0.003 5.302028 26.1594 + 335 | 2.049272 4.350597 0.47 0.638 -6.482303 10.58085 + 336 | 17.00723 8.827291 1.93 0.054 -.3032003 34.31765 + 341 | 6.642543 4.061557 1.64 0.102 -1.322221 14.60731 + 342 | 4.740821 7.014659 0.68 0.499 -9.015011 18.49665 + 343 | 4.345694 4.867462 0.89 0.372 -5.19946 13.89085 + 344 | -5.050734 5.422349 -0.93 0.352 -15.68403 5.582559 + 398 | 14.4075 5.300908 2.72 0.007 4.012352 24.80264 + 399 | 10.10642 7.940251 1.27 0.203 -5.464515 25.67735 + 400 | 6.683391 6.293023 1.06 0.288 -5.657305 19.02409 + 401 | -3.541713 3.894292 -0.91 0.363 -11.17847 4.095042 + 402 | 3.416627 3.635192 0.94 0.347 -3.712029 10.54528 + 403 | 2.988982 3.677841 0.81 0.416 -4.223309 10.20127 + 404 | 5.303593 5.069627 1.05 0.296 -4.638008 15.24519 + 405 | 15.94715 7.460441 2.14 0.033 1.317138 30.57717 + 498 | 6.598387 5.419868 1.22 0.224 -4.030041 17.22681 + 499 | -2.078415 3.475753 -0.60 0.550 -8.894409 4.737579 + 500 | -5.201685 6.130133 -0.85 0.396 -17.22295 6.819581 + 501 | 1.364569 4.604747 0.30 0.767 -7.665396 10.39453 + 502 | .5931611 5.333251 0.11 0.911 -9.86541 11.05173 + 503 | 2.468408 4.195637 0.59 0.556 -5.759287 10.6961 + 504 | 16.19991 6.830783 2.37 0.018 2.804658 29.59516 + 505 | 8.805715 5.109394 1.72 0.085 -1.213869 18.8253 + 506 | 14.94328 5.720933 2.61 0.009 3.724462 26.1621 + 508 | 5.123802 5.536812 0.93 0.355 -5.733956 15.98156 + 529 | -4.129407 6.056899 -0.68 0.495 -16.00706 7.748246 + 530 | 3.358989 3.564213 0.94 0.346 -3.630476 10.34846 + 599 | 2.395724 6.807393 0.35 0.725 -10.95366 15.74511 + 600 | .8046406 4.89097 0.16 0.869 -8.786611 10.39589 + 601 | 3.366376 3.653679 0.92 0.357 -3.798533 10.53129 + 602 | 3.767019 4.535496 0.83 0.406 -5.127144 12.66118 + 603 | 6.354562 5.384893 1.18 0.238 -4.20528 16.9144 + 604 | -1.730985 5.876072 -0.29 0.768 -13.25403 9.792064 + 606 | 2.062593 6.616622 0.31 0.755 -10.91268 15.03787 + 607 | 2.922328 4.043758 0.72 0.470 -5.00753 10.85219 + 609 | 7.88036 6.12976 1.29 0.199 -4.140175 19.90089 + 698 | -9.716161 4.221272 -2.30 0.021 -17.99413 -1.438194 + 699 | 4.312784 5.617923 0.77 0.443 -6.704032 15.3296 + 700 | 3.306827 4.004387 0.83 0.409 -4.545826 11.15948 + 701 | 6.115485 4.012827 1.52 0.128 -1.753718 13.98469 + 703 | -.5085272 3.517969 -0.14 0.885 -7.407308 6.390254 + 704 | -1.348884 3.651293 -0.37 0.712 -8.509115 5.811347 + 705 | 2.156397 4.66337 0.46 0.644 -6.988529 11.30132 + 707 | 22.57948 14.26274 1.58 0.114 -5.389928 50.54889 + 708 | 3.057973 5.737472 0.53 0.594 -8.19328 14.30923 + 709 | 11.82309 4.471423 2.64 0.008 3.054578 20.59161 + 710 | 7.024948 3.871154 1.81 0.070 -.5664328 14.61633 + 711 | 15.64995 5.249015 2.98 0.003 5.35657 25.94334 + 798 | 2.01725 4.496475 0.45 0.654 -6.800393 10.83489 + 799 | -9.87657 4.376349 -2.26 0.024 -18.45864 -1.294496 + 800 | 3.196697 5.609091 0.57 0.569 -7.802799 14.19619 + 801 | -4.592227 3.662303 -1.25 0.210 -11.77405 2.589595 + 802 | -3.41498 3.564671 -0.96 0.338 -10.40534 3.575384 + 803 | -.4974989 3.384573 -0.15 0.883 -7.134688 6.13969 + 805 | 1.324507 4.159132 0.32 0.750 -6.831603 9.480617 + 806 | -.5184574 3.457867 -0.15 0.881 -7.299377 6.262463 + 807 | 3.859724 4.513057 0.86 0.393 -4.990437 12.70988 + 898 | -2.281955 6.872096 -0.33 0.740 -15.75822 11.19431 + 899 | -2.68838 6.441993 -0.42 0.676 -15.32121 9.944449 + 1000 | -.2460131 3.88432 -0.06 0.950 -7.863212 7.371186 + 1001 | -2.252965 3.574974 -0.63 0.529 -9.263533 4.757602 + 1002 | -2.875023 3.617607 -0.79 0.427 -9.969196 4.21915 + 1003 | 2.661199 3.562829 0.75 0.455 -4.325552 9.64795 + 1005 | 1.621426 5.006753 0.32 0.746 -8.196878 11.43973 + 1006 | 2.508903 4.169811 0.60 0.547 -5.668147 10.68595 + 1007 | 3.827067 3.887869 0.98 0.325 -3.797093 11.45123 + 1010 | 4.23955 5.735823 0.74 0.460 -7.00847 15.48757 + 1098 | -8.315446 4.257913 -1.95 0.051 -16.66527 .0343742 + 1099 | 9.110739 8.616047 1.06 0.290 -7.785435 26.00691 + 1200 | 11.91463 7.524127 1.58 0.113 -2.840273 26.66954 + 1201 | 1.734054 4.898149 0.35 0.723 -7.871277 11.33939 + 1202 | -.4100267 3.867921 -0.11 0.916 -7.995068 7.175014 + 1203 | .1853018 4.981637 0.04 0.970 -9.583751 9.954354 + 1204 | -2.602625 3.840582 -0.68 0.498 -10.13405 4.928804 + 1205 | 2.967796 4.464964 0.66 0.506 -5.788054 11.72365 + 1206 | -.239503 4.531632 -0.05 0.958 -9.126089 8.647083 + 1207 | 2.240497 5.0006 0.45 0.654 -7.565741 12.04673 + 1208 | 18.99902 6.79933 2.79 0.005 5.665451 32.33259 + 1209 | 6.511163 3.954353 1.65 0.100 -1.243372 14.2657 + 1210 | 3.694872 4.195251 0.88 0.379 -4.532067 11.92181 + 1211 | 9.436343 6.812564 1.39 0.166 -3.923179 22.79586 + 1299 | 8.814077 8.236638 1.07 0.285 -7.338072 24.96623 + 1300 | 13.39547 5.476617 2.45 0.015 2.655751 24.13518 + 1301 | 11.88392 4.919127 2.42 0.016 2.237453 21.53039 + 1302 | -4.669914 3.826612 -1.22 0.222 -12.17395 2.83412 + 1303 | 4.809409 4.595374 1.05 0.295 -4.202177 13.82099 + 1304 | 11.82006 8.488614 1.39 0.164 -4.826212 28.46634 + 1305 | 4.286598 7.2947 0.59 0.557 -10.0184 18.5916 + 1399 | 16.85025 21.08551 0.80 0.424 -24.49869 58.19918 + 1400 | 6.269299 4.439731 1.41 0.158 -2.437068 14.97567 + 1401 | 10.59674 4.368787 2.43 0.015 2.029491 19.16398 + 1403 | 10.96751 5.184274 2.12 0.034 .8010839 21.13393 + 1404 | 5.587502 7.242952 0.77 0.441 -8.616017 19.79102 + 1405 | -1.017641 3.695505 -0.28 0.783 -8.264572 6.229289 + 1406 | 5.711954 5.182097 1.10 0.270 -4.450201 15.87411 + 1407 | 1.451793 5.085045 0.29 0.775 -8.520043 11.42363 + 1408 | -5.228187 4.820612 -1.08 0.278 -14.68147 4.225092 + 1409 | 16.60406 6.161156 2.69 0.007 4.521962 28.68617 + 1410 | 4.149989 3.978237 1.04 0.297 -3.651383 11.95136 + 1499 | -.8405345 4.782351 -0.18 0.861 -10.21878 8.537714 + 1500 | 2.291953 5.822408 0.39 0.694 -9.125861 13.70977 + 1501 | 6.627569 3.971121 1.67 0.095 -1.159848 14.41499 + 1502 | 14.43157 7.315898 1.97 0.049 .0849992 28.77813 + 1504 | 19.89568 13.09636 1.52 0.129 -5.786451 45.57781 + 1505 | -1.202665 4.525463 -0.27 0.790 -10.07715 7.671824 + 1507 | -6.725863 3.882977 -1.73 0.083 -14.34043 .8887016 + 1520 | .7767591 3.681104 0.21 0.833 -6.441931 7.995449 + 1521 | 2.976287 3.515029 0.85 0.397 -3.916728 9.869302 + 1522 | -1.715255 4.037311 -0.42 0.671 -9.632471 6.201961 + 1523 | -1.36545 3.747592 -0.36 0.716 -8.714524 5.983623 + 1524 | 9.431966 7.63177 1.24 0.217 -5.534028 24.39796 + 1525 | 5.961715 4.495483 1.33 0.185 -2.853983 14.77741 + 1526 | -2.281013 3.896143 -0.59 0.558 -9.921397 5.359371 + 1599 | 6.351024 5.284857 1.20 0.230 -4.012646 16.71469 + 1600 | 1.185562 3.936387 0.30 0.763 -6.533742 8.904866 + 1602 | 12.14983 9.361495 1.30 0.194 -6.20818 30.50783 + 1603 | -24.79492 16.6074 -1.49 0.136 -57.36223 7.772395 + 1604 | -.3194028 4.714959 -0.07 0.946 -9.565495 8.926689 + 1605 | 8.899039 6.635902 1.34 0.180 -4.114047 21.91212 + 1606 | 20.22462 12.25381 1.65 0.099 -3.805247 44.25449 + 1608 | 8.934811 5.596671 1.60 0.111 -2.04033 19.90995 + 1609 | 6.314696 5.321622 1.19 0.236 -4.12107 16.75046 + 1610 | 6.34528 4.598898 1.38 0.168 -2.673216 15.36378 + 1611 | -2.34796 3.583093 -0.66 0.512 -9.374449 4.678529 + 1612 | 8.41482 4.774825 1.76 0.078 -.9486703 17.77831 + 1614 | 6.532022 5.020816 1.30 0.193 -3.313859 16.3779 + 1615 | -1.990221 3.710166 -0.54 0.592 -9.265901 5.28546 + 1616 | 3.337137 5.539563 0.60 0.547 -7.526015 14.20029 + 1617 | -5.931432 4.358972 -1.36 0.174 -14.47943 2.616567 + 1619 | 8.598375 7.72395 1.11 0.266 -6.548387 23.74514 + 1620 | -3.220581 5.162216 -0.62 0.533 -13.34375 6.902588 + 1698 | -.6673253 4.69312 -0.14 0.887 -9.870592 8.535942 + 1699 | 49.69874 16.74621 2.97 0.003 16.85921 82.53827 + 1700 | 4.662642 5.688536 0.82 0.412 -6.492647 15.81793 + 1701 | -.5586847 4.14278 -0.13 0.893 -8.682727 7.565358 + 1704 | -.4622976 6.461367 -0.07 0.943 -13.13312 12.20852 + 1705 | -7.880311 8.449866 -0.93 0.351 -24.4506 8.68998 + 1706 | 2.057426 5.42251 0.38 0.704 -8.576182 12.69103 + 1707 | .2914257 4.578682 0.06 0.949 -8.687427 9.270278 + 1708 | 5.037239 4.892287 1.03 0.303 -4.556596 14.63107 + 1709 | 1.196918 4.681159 0.26 0.798 -7.982892 10.37673 + 1798 | 7.288426 5.529037 1.32 0.188 -3.554084 18.13094 + 1799 | 9.99937 11.35095 0.88 0.378 -12.25998 32.25872 + 1800 | .2635802 4.216436 0.06 0.950 -8.004903 8.532064 + 1802 | 8.624401 6.418473 1.34 0.179 -3.962303 21.21111 + 1803 | 2.14598 4.370172 0.49 0.623 -6.423981 10.71594 + 1804 | -1.596488 4.464144 -0.36 0.721 -10.35073 7.157754 + 1806 | 2.925693 4.234686 0.69 0.490 -5.378578 11.22996 + 1807 | -7.226592 3.998726 -1.81 0.071 -15.06814 .6149599 + 1808 | 18.41885 13.52001 1.36 0.173 -8.094064 44.93177 + 1899 | -9.136237 7.810642 -1.17 0.242 -24.453 6.180529 + 1900 | .4561776 4.301403 0.11 0.916 -7.978926 8.891282 + 1901 | 10.75283 4.820467 2.23 0.026 1.299831 20.20582 + 1902 | 3.810355 4.80058 0.79 0.427 -5.603642 13.22435 + 1905 | 28.61243 7.878684 3.63 0.000 13.16223 44.06262 + 1906 | 4.668704 4.604787 1.01 0.311 -4.361341 13.69875 + 1907 | 7.611197 8.686798 0.88 0.381 -9.423722 24.64612 + 1908 | 1.05375 6.560313 0.16 0.872 -11.8111 13.9186 + 1909 | 1.655721 6.411933 0.26 0.796 -10.91816 14.2296 + 1910 | .2689329 5.605897 0.05 0.962 -10.7243 11.26217 + 1911 | 9.145287 6.695996 1.37 0.172 -3.985645 22.27622 + 1912 | -4.265979 14.39557 -0.30 0.767 -32.49587 23.96391 + 1914 | .7379464 5.264029 0.14 0.889 -9.58488 11.06077 + 1915 | -2.688216 3.814792 -0.70 0.481 -10.16907 4.792639 + 1919 | 3.014778 7.723849 0.39 0.696 -12.13179 18.16134 + 1920 | 17.82939 7.242901 2.46 0.014 3.625974 32.03281 + 1925 | 25.72285 6.533544 3.94 0.000 12.91049 38.53521 + 1926 | 20.03294 7.496947 2.67 0.008 5.331339 34.73455 + 1927 | -2.870048 4.383468 -0.65 0.513 -11.46608 5.725987 + 1929 | 3.592372 6.223588 0.58 0.564 -8.612161 15.79691 + 1999 | 8.707148 17.91092 0.49 0.627 -26.41639 43.83069 + 2000 | .9155148 3.717088 0.25 0.805 -6.373742 8.204771 + 2001 | 5.514469 4.993324 1.10 0.270 -4.2775 15.30644 + 2002 | 2.490568 4.201283 0.59 0.553 -5.748199 10.72934 + 2003 | 24.36829 7.02587 3.47 0.001 10.59047 38.14611 + 2004 | 12.52483 5.1233 2.44 0.015 2.477976 22.57168 + 2005 | -4.277902 4.813091 -0.89 0.374 -13.71643 5.160628 + 2006 | 64.97197 14.91586 4.36 0.000 35.72179 94.22216 + 2007 | .9416858 5.948578 0.16 0.874 -10.72355 12.60692 + 2008 | 3.293873 3.417818 0.96 0.335 -3.40851 9.996256 + 2009 | 13.69116 11.24476 1.22 0.224 -8.359959 35.74228 + 2010 | -13.91484 3.688855 -3.77 0.000 -21.14874 -6.680954 + 2011 | -6.096684 4.670795 -1.31 0.192 -15.25617 3.062803 + 2012 | -1.038013 5.108896 -0.20 0.839 -11.05662 8.980596 + 2013 | 5.459112 4.5016 1.21 0.225 -3.368582 14.28681 + 2014 | 3.800473 5.378264 0.71 0.480 -6.74637 14.34732 + 2015 | -.7511528 4.815495 -0.16 0.876 -10.1944 8.692093 + 2030 | 16.92067 9.982848 1.69 0.090 -2.655818 36.49716 + 2099 | 16.67642 8.143912 2.05 0.041 .7061103 32.64674 + 2100 | 11.16704 13.13317 0.85 0.395 -14.58727 36.92135 + 2101 | 10.24549 6.385639 1.60 0.109 -2.276831 22.7678 + 2102 | 1.656563 3.993219 0.41 0.678 -6.174189 9.487315 + 2103 | 5.671338 4.048562 1.40 0.161 -2.267941 13.61062 + 2104 | -1.901734 3.561465 -0.53 0.593 -8.885811 5.082343 + 2105 | -5.120783 6.21087 -0.82 0.410 -17.30038 7.05881 + 2199 | -9.057153 3.905088 -2.32 0.020 -16.71508 -1.399228 + 9999 | 38.16268 11.29019 3.38 0.001 16.02247 60.30289 + | + house_administration | 8.498774 5.698879 1.49 0.136 -2.676798 19.67435 + house_agriculture | .7151319 1.606202 0.45 0.656 -2.434651 3.864915 + house_appropriations | -3.396516 3.4935 -0.97 0.331 -10.24731 3.454281 + house_armedservices | -2.780973 2.205625 -1.26 0.207 -7.106231 1.544284 + house_budget | -2.16509 2.640807 -0.82 0.412 -7.343746 3.013565 + house_dc | -8.168661 4.163846 -1.96 0.050 -16.33401 -.003307 + house_educlabor | 8.374607 2.216245 3.78 0.000 4.028523 12.72069 + house_energycommerce | 5.607336 1.402315 4.00 0.000 2.857379 8.357294 + house_foreignaffairs | 8.259921 2.911238 2.84 0.005 2.550948 13.96889 + house_governmentop | -1.575178 3.171929 -0.50 0.620 -7.79537 4.645014 + house_intelligence | 25.82131 18.22631 1.42 0.157 -9.920706 61.56333 + house_interior | -5.530969 4.00501 -1.38 0.167 -13.38484 2.322904 + house_judiciary | 3.723659 1.368103 2.72 0.007 1.040792 6.406526 + house_mmf | -1.978543 2.531913 -0.78 0.435 -6.943656 2.98657 + house_pocs | 1.300628 3.473692 0.37 0.708 -5.511324 8.11258 + house_pwt | 1.640617 1.731301 0.95 0.343 -1.754485 5.03572 + house_rules | 4.404156 3.415015 1.29 0.197 -2.29273 11.10104 + house_sst | 5.035821 3.049733 1.65 0.099 -.9447444 11.01639 + house_smallbusi | -4.602857 2.80462 -1.64 0.101 -10.10275 .8970372 + house_soc | 11.44997 11.3024 1.01 0.311 -10.71418 33.61412 + house_veterans | 7.449405 4.61934 1.61 0.107 -1.609177 16.50799 + house_waysandmeans | 2.571949 1.354323 1.90 0.058 -.0838945 5.227793 +house_naturalresources | -3.532187 2.845542 -1.24 0.215 -9.112329 2.047956 + house_bfs | -2.739659 2.879348 -0.95 0.341 -8.386096 2.906778 + house_eeo | -.8177441 2.368117 -0.35 0.730 -5.46165 3.826162 + house_govreform | 5.122283 1.953203 2.62 0.009 1.292027 8.952539 + house_ir | 4.21358 2.143208 1.97 0.049 .0107231 8.416437 + house_natsecur | 3.206173 3.124435 1.03 0.305 -2.920883 9.333228 + house_oversight | 1.597275 2.721399 0.59 0.557 -3.739422 6.933971 + house_resources | -1.594105 3.237355 -0.49 0.622 -7.942598 4.754388 + house_science | -.1566936 2.030455 -0.08 0.938 -4.13844 3.825053 + house_transp | .8967398 2.102429 0.43 0.670 -3.22615 5.019629 + house_homeland | 1.078572 2.05546 0.52 0.600 -2.95221 5.109354 + _cons | 9.67294 3.63524 2.66 0.008 2.54419 16.80169 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,265 1 0 1 1 + + +j = 5 k = 3 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 13.03771 22.75762 .5728944 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(13,828 missing values generated) +(55,922 missing values generated) +(42,094 real changes made) +reg numb_cosponsors sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==200 & tag_bill==1, robust cluster(group_sponsor) +(sum of wgt is 35,891.06587708) + +Linear regression Number of obs = 23,818 + F(267, 1952) = . + Prob > F = . + R-squared = 0.1287 + Root MSE = 34.994 + + (Std. Err. adjusted for 1,953 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 3.1239 1.040414 3.00 0.003 1.083461 5.164338 + | + v2 | + 102 | .5501899 1.604477 0.34 0.732 -2.596479 3.696859 + 103 | .6024768 1.751625 0.34 0.731 -2.832775 4.037729 + 104 | .0124806 1.903273 0.01 0.995 -3.72018 3.745141 + 105 | 2.133157 1.532023 1.39 0.164 -.8714167 5.13773 + 106 | 5.284245 1.85415 2.85 0.004 1.647924 8.920567 + 107 | 5.093463 1.709711 2.98 0.003 1.740411 8.446514 + 108 | 5.846659 2.196589 2.66 0.008 1.538753 10.15456 + 109 | 1.857184 1.455789 1.28 0.202 -.997879 4.712248 + 110 | .6977329 2.010587 0.35 0.729 -3.24539 4.640856 + 111 | -2.132037 1.739413 -1.23 0.220 -5.543339 1.279265 + | + minor | + 101 | -1.90993 4.783997 -0.40 0.690 -11.29221 7.472349 + 103 | 26.88345 15.63962 1.72 0.086 -3.788662 57.55556 + 104 | 6.83662 5.580281 1.23 0.221 -4.107315 17.78056 + 105 | 13.82894 7.038571 1.96 0.050 .0250335 27.63284 + 107 | 16.77339 5.312201 3.16 0.002 6.355209 27.19157 + 108 | 2.680905 5.083231 0.53 0.598 -7.288225 12.65004 + 110 | 28.04062 22.19672 1.26 0.207 -15.49115 71.57239 + 200 | 16.75063 6.614927 2.53 0.011 3.777565 29.72369 + 201 | 10.05277 10.03 1.00 0.316 -9.617859 29.72339 + 202 | 17.80334 11.71305 1.52 0.129 -5.168054 40.77474 + 204 | 3.344038 6.459254 0.52 0.605 -9.323723 16.0118 + 205 | 16.13275 13.36982 1.21 0.228 -10.08788 42.35337 + 206 | 20.62522 8.357598 2.47 0.014 4.234469 37.01598 + 207 | 23.22996 7.437384 3.12 0.002 8.643914 37.81601 + 208 | 8.989173 5.581283 1.61 0.107 -1.956727 19.93507 + 209 | -8.490172 4.391826 -1.93 0.053 -17.10333 .1229889 + 299 | 94.0564 17.18349 5.47 0.000 60.35648 127.7563 + 300 | 16.15734 8.802795 1.84 0.067 -1.106524 33.42121 + 301 | 11.86635 5.522201 2.15 0.032 1.036319 22.69638 + 302 | 12.28553 4.943018 2.49 0.013 2.591386 21.97968 + 321 | 9.644265 5.840117 1.65 0.099 -1.809256 21.09779 + 322 | 5.747283 4.987764 1.15 0.249 -4.03462 15.52919 + 323 | 7.804706 5.961786 1.31 0.191 -3.887431 19.49684 + 324 | 6.787738 5.824298 1.17 0.244 -4.634759 18.21024 + 325 | 6.895085 6.391642 1.08 0.281 -5.640075 19.43025 + 331 | 29.71334 8.065289 3.68 0.000 13.89586 45.53082 + 332 | 5.765138 5.549668 1.04 0.299 -5.11876 16.64904 + 333 | 16.75789 18.10147 0.93 0.355 -18.74236 52.25813 + 334 | 15.46437 5.570225 2.78 0.006 4.540152 26.38858 + 335 | 12.47214 18.19879 0.69 0.493 -23.21897 48.16324 + 336 | 52.73487 22.76328 2.32 0.021 8.091978 97.37776 + 341 | 11.05392 6.343557 1.74 0.082 -1.386935 23.49478 + 342 | 15.78092 9.474324 1.67 0.096 -2.799938 34.36177 + 343 | 2.075808 5.285851 0.39 0.695 -8.290698 12.44231 + 344 | 40.78463 11.40415 3.58 0.000 18.41905 63.15021 + 398 | 34.59706 14.04291 2.46 0.014 7.056379 62.13775 + 399 | 9.76454 8.856851 1.10 0.270 -7.605339 27.13442 + 400 | 1.715856 5.639516 0.30 0.761 -9.344249 12.77596 + 401 | 4.979006 6.543405 0.76 0.447 -7.853788 17.8118 + 402 | 5.21477 4.66743 1.12 0.264 -3.938901 14.36844 + 403 | 21.85187 9.099598 2.40 0.016 4.005918 39.69782 + 404 | 11.37935 6.251079 1.82 0.069 -.8801445 23.63884 + 405 | 10.54862 9.978499 1.06 0.291 -9.021012 30.11825 + 498 | 9.32994 9.035487 1.03 0.302 -8.390276 27.05016 + 499 | 19.97068 13.01903 1.53 0.125 -5.56199 45.50335 + 500 | 6.972928 7.228659 0.96 0.335 -7.203773 21.14963 + 501 | 9.31572 5.462166 1.71 0.088 -1.39657 20.02801 + 502 | 7.332801 4.926799 1.49 0.137 -2.329539 16.99514 + 503 | 9.211912 4.744888 1.94 0.052 -.0936684 18.51749 + 504 | 25.90196 6.315895 4.10 0.000 13.51535 38.28857 + 505 | 6.130195 4.504598 1.36 0.174 -2.704131 14.96452 + 506 | 9.537906 7.052083 1.35 0.176 -4.292499 23.36831 + 508 | 11.86118 7.310719 1.62 0.105 -2.476453 26.19882 + 529 | 19.70876 9.45933 2.08 0.037 1.157307 38.26021 + 530 | 7.664936 4.392417 1.75 0.081 -.9493853 16.27926 + 599 | 17.89167 9.16587 1.95 0.051 -.0842489 35.86759 + 600 | 18.11178 6.790633 2.67 0.008 4.794126 31.42943 + 601 | 9.890884 4.584311 2.16 0.031 .9002243 18.88154 + 602 | 15.89608 5.660533 2.81 0.005 4.794752 26.9974 + 603 | 12.17114 5.884374 2.07 0.039 .6308269 23.71146 + 604 | 3.168029 4.969108 0.64 0.524 -6.577288 12.91334 + 606 | 16.42649 6.207842 2.65 0.008 4.251797 28.60119 + 607 | 16.9463 6.585888 2.57 0.010 4.03019 29.86242 + 609 | 10.44295 5.956216 1.75 0.080 -1.238265 22.12416 + 698 | 2.660205 7.379284 0.36 0.719 -11.8119 17.13231 + 699 | 1.929897 5.3777 0.36 0.720 -8.616741 12.47654 + 700 | 1.719667 4.614996 0.37 0.709 -7.331171 10.7705 + 701 | 10.1551 8.186239 1.24 0.215 -5.899589 26.20979 + 703 | -1.427781 4.755087 -0.30 0.764 -10.75336 7.8978 + 704 | .7341283 4.768178 0.15 0.878 -8.617128 10.08538 + 705 | 5.3083 5.294363 1.00 0.316 -5.074898 15.6915 + 707 | 5.757301 7.351117 0.78 0.434 -8.659562 20.17417 + 708 | 13.93785 10.31503 1.35 0.177 -6.291787 34.16749 + 709 | 11.37944 4.963545 2.29 0.022 1.645036 21.11385 + 710 | 3.113537 4.571475 0.68 0.496 -5.851949 12.07902 + 711 | 4.125763 4.466894 0.92 0.356 -4.634619 12.88615 + 798 | 6.523242 6.980365 0.93 0.350 -7.16651 20.21299 + 799 | 9.913432 7.059172 1.40 0.160 -3.930876 23.75774 + 800 | -3.862769 4.692446 -0.82 0.411 -13.0655 5.339961 + 801 | -4.20628 5.240643 -0.80 0.422 -14.48412 6.071564 + 802 | -2.854996 4.753282 -0.60 0.548 -12.17704 6.467046 + 803 | 5.255883 4.429343 1.19 0.236 -3.430856 13.94262 + 805 | -7.446917 4.672777 -1.59 0.111 -16.61107 1.71724 + 806 | 2.422889 4.916688 0.49 0.622 -7.21962 12.0654 + 807 | 3.452842 4.859809 0.71 0.477 -6.078118 12.9838 + 898 | -3.56294 4.740004 -0.75 0.452 -12.85894 5.733062 + 899 | -8.027796 5.439605 -1.48 0.140 -18.69584 2.640249 + 1000 | -1.137496 5.549077 -0.20 0.838 -12.02024 9.745243 + 1001 | 4.044954 4.728065 0.86 0.392 -5.227633 13.31754 + 1002 | 8.223259 5.604611 1.47 0.142 -2.768392 19.21491 + 1003 | 6.03849 5.472119 1.10 0.270 -4.69332 16.7703 + 1005 | -.8178289 5.062066 -0.16 0.872 -10.74545 9.109794 + 1006 | 10.64428 6.400205 1.66 0.096 -1.907676 23.19623 + 1007 | -1.28941 4.282473 -0.30 0.763 -9.68811 7.109291 + 1010 | 3.454594 6.412801 0.54 0.590 -9.122063 16.03125 + 1098 | -7.910334 4.711221 -1.68 0.093 -17.14989 1.329219 + 1099 | 6.00287 11.2716 0.53 0.594 -16.10277 28.10851 + 1200 | 4.998131 7.414032 0.67 0.500 -9.542121 19.53838 + 1201 | 4.002186 5.224861 0.77 0.444 -6.244707 14.24908 + 1202 | -2.429888 6.071017 -0.40 0.689 -14.33625 9.476469 + 1203 | 5.128641 5.047518 1.02 0.310 -4.770451 15.02773 + 1204 | 2.459236 4.945754 0.50 0.619 -7.240279 12.15875 + 1205 | 2.952508 5.204839 0.57 0.571 -7.255118 13.16013 + 1206 | -1.50154 4.893101 -0.31 0.759 -11.09779 8.094711 + 1207 | 7.090714 5.393211 1.31 0.189 -3.486344 17.66777 + 1208 | 14.96469 5.000773 2.99 0.003 5.157279 24.77211 + 1209 | 18.89159 5.296246 3.57 0.000 8.504699 29.27848 + 1210 | 7.844732 4.823836 1.63 0.104 -1.61568 17.30514 + 1211 | 19.30767 10.30856 1.87 0.061 -.9092853 39.52462 + 1299 | 4.419618 7.031132 0.63 0.530 -9.369698 18.20893 + 1300 | 12.64367 7.591198 1.67 0.096 -2.244039 27.53137 + 1301 | 8.324858 6.576291 1.27 0.206 -4.572432 21.22215 + 1302 | .3712174 6.297935 0.06 0.953 -11.98017 12.7226 + 1303 | 7.242153 4.694663 1.54 0.123 -1.964926 16.44923 + 1304 | 20.05523 7.873208 2.55 0.011 4.614451 35.49601 + 1305 | 32.30769 10.05143 3.21 0.001 12.59502 52.02036 + 1399 | -3.211844 6.682662 -0.48 0.631 -16.31775 9.89406 + 1400 | 10.06489 5.925274 1.70 0.090 -1.555638 21.68542 + 1401 | 19.36185 8.076902 2.40 0.017 3.521596 35.20211 + 1403 | -1.12632 4.746605 -0.24 0.812 -10.43527 8.182627 + 1404 | 2.081869 5.200274 0.40 0.689 -8.116803 12.28054 + 1405 | .3055825 4.500514 0.07 0.946 -8.520736 9.131901 + 1406 | 4.5616 5.845908 0.78 0.435 -6.903279 16.02648 + 1407 | 7.129709 5.366246 1.33 0.184 -3.394466 17.65388 + 1408 | 33.07116 25.74123 1.28 0.199 -17.41203 83.55434 + 1409 | 34.34496 19.58941 1.75 0.080 -4.0734 72.76332 + 1410 | 30.86089 14.36657 2.15 0.032 2.68546 59.03633 + 1499 | .6330719 5.524464 0.11 0.909 -10.2014 11.46754 + 1500 | 5.634699 6.677022 0.84 0.399 -7.460142 18.72954 + 1501 | 5.65728 4.589073 1.23 0.218 -3.342719 14.65728 + 1502 | 4.802971 5.000258 0.96 0.337 -5.003435 14.60938 + 1504 | 15.13367 6.546448 2.31 0.021 2.294907 27.97243 + 1505 | 10.5367 5.02799 2.10 0.036 .6759029 20.39749 + 1507 | 11.25197 9.817682 1.15 0.252 -8.002275 30.50621 + 1520 | 35.35477 26.12862 1.35 0.176 -15.88815 86.59769 + 1521 | 4.545452 4.33186 1.05 0.294 -3.950106 13.04101 + 1522 | 2.310555 5.110187 0.45 0.651 -7.711441 12.33255 + 1523 | 3.195894 4.38692 0.73 0.466 -5.407646 11.79943 + 1524 | 29.82103 16.67557 1.79 0.074 -2.882773 62.52483 + 1525 | 5.517939 5.432938 1.02 0.310 -5.137031 16.17291 + 1526 | 11.18988 6.534539 1.71 0.087 -1.625533 24.00528 + 1599 | 48.08264 33.96421 1.42 0.157 -18.52728 114.6926 + 1600 | 1.733971 6.235744 0.28 0.781 -10.49545 13.96339 + 1602 | 16.98267 12.48257 1.36 0.174 -7.497894 41.46324 + 1603 | 1.808322 7.425063 0.24 0.808 -12.75356 16.37021 + 1604 | 15.66478 8.135878 1.93 0.054 -.2911385 31.62071 + 1605 | 13.36808 6.832609 1.96 0.051 -.0318977 26.76805 + 1606 | -.1901989 6.588233 -0.03 0.977 -13.11091 12.73051 + 1608 | 17.46255 5.250686 3.33 0.001 7.165008 27.76009 + 1609 | 18.91699 4.938173 3.83 0.000 9.232345 28.60164 + 1610 | 11.13025 10.29457 1.08 0.280 -9.059255 31.31976 + 1611 | .2211603 5.541295 0.04 0.968 -10.64632 11.08864 + 1612 | 9.178396 5.530879 1.66 0.097 -1.668653 20.02544 + 1614 | -7.080361 5.488285 -1.29 0.197 -17.84388 3.683155 + 1615 | -1.608542 4.831298 -0.33 0.739 -11.08359 7.866502 + 1616 | -7.999855 4.394628 -1.82 0.069 -16.61851 .6188022 + 1617 | 8.317314 7.180396 1.16 0.247 -5.764735 22.39936 + 1619 | -7.471742 6.897463 -1.08 0.279 -20.99891 6.055425 + 1620 | -4.152339 4.50554 -0.92 0.357 -12.98851 4.683836 + 1698 | -8.897115 5.785606 -1.54 0.124 -20.24373 2.449499 + 1699 | 21.51778 8.40362 2.56 0.011 5.036766 37.99879 + 1700 | 6.963641 8.540373 0.82 0.415 -9.785567 23.71285 + 1701 | 3.254978 5.333252 0.61 0.542 -7.204488 13.71444 + 1704 | 2.780489 5.611191 0.50 0.620 -8.224068 13.78505 + 1705 | -7.223328 5.263959 -1.37 0.170 -17.5469 3.100243 + 1706 | 6.856469 5.362238 1.28 0.201 -3.659845 17.37278 + 1707 | 10.84429 6.786296 1.60 0.110 -2.464858 24.15344 + 1708 | .7203523 4.404931 0.16 0.870 -7.91851 9.359215 + 1709 | 15.82121 6.092252 2.60 0.009 3.873202 27.76921 + 1798 | 16.99417 8.987802 1.89 0.059 -.6325272 34.62087 + 1799 | -4.194495 4.641656 -0.90 0.366 -13.29762 4.908628 + 1800 | -2.877992 4.799972 -0.60 0.549 -12.2916 6.535616 + 1802 | .3713725 4.526222 0.08 0.935 -8.505364 9.248109 + 1803 | 13.11092 7.683683 1.71 0.088 -1.958165 28.18001 + 1804 | 2.257935 5.072575 0.45 0.656 -7.690297 12.20617 + 1806 | -.8378286 4.320551 -0.19 0.846 -9.311207 7.63555 + 1807 | -8.388551 4.151907 -2.02 0.043 -16.53119 -.2459134 + 1808 | -3.906348 5.49301 -0.71 0.477 -14.67913 6.866434 + 1899 | 4.89544 13.78193 0.36 0.722 -22.13341 31.92429 + 1900 | -1.31334 5.032011 -0.26 0.794 -11.18202 8.555339 + 1901 | 6.91544 4.825209 1.43 0.152 -2.547663 16.37854 + 1902 | 17.11276 7.910058 2.16 0.031 1.599716 32.62581 + 1905 | 7.271435 7.289666 1.00 0.319 -7.024912 21.56778 + 1906 | 4.506066 4.638851 0.97 0.331 -4.591556 13.60369 + 1907 | -6.561613 6.420594 -1.02 0.307 -19.15355 6.030327 + 1908 | 6.520497 8.608567 0.76 0.449 -10.36245 23.40345 + 1909 | 2.45578 5.450373 0.45 0.652 -8.233382 13.14494 + 1910 | 19.61686 8.22698 2.38 0.017 3.48227 35.75145 + 1911 | 6.094596 5.787376 1.05 0.292 -5.25549 17.44468 + 1912 | -3.661664 4.26132 -0.86 0.390 -12.01888 4.695552 + 1914 | 7.963461 5.675156 1.40 0.161 -3.166541 19.09346 + 1915 | -5.694796 4.834416 -1.18 0.239 -15.17596 3.786363 + 1919 | 3.69097 4.786069 0.77 0.441 -5.695373 13.07731 + 1920 | 35.93018 9.284886 3.87 0.000 17.72085 54.13951 + 1925 | 18.95094 6.009842 3.15 0.002 7.16456 30.73732 + 1926 | 12.15494 5.730374 2.12 0.034 .9166419 23.39323 + 1927 | 8.593773 6.569306 1.31 0.191 -4.289818 21.47736 + 1929 | 11.76055 5.645102 2.08 0.037 .6894901 22.83161 + 1999 | -1.419942 5.317938 -0.27 0.789 -11.84938 9.009491 + 2000 | -.9729484 4.457718 -0.22 0.827 -9.715337 7.76944 + 2001 | 3.155497 4.433584 0.71 0.477 -5.53956 11.85055 + 2002 | 7.725627 4.868131 1.59 0.113 -1.821654 17.27291 + 2003 | 25.63581 9.802611 2.62 0.009 6.411131 44.8605 + 2004 | 5.570788 4.537413 1.23 0.220 -3.327895 14.46947 + 2005 | 3.367181 7.030585 0.48 0.632 -10.42106 17.15542 + 2006 | 92.55176 17.39065 5.32 0.000 58.44556 126.658 + 2007 | 7.739047 6.837914 1.13 0.258 -5.671332 21.14943 + 2008 | 10.87636 4.711078 2.31 0.021 1.637084 20.11563 + 2009 | 5.915611 6.189942 0.96 0.339 -6.22398 18.0552 + 2011 | 3.941181 4.370077 0.90 0.367 -4.629327 12.51169 + 2012 | .1524337 4.712293 0.03 0.974 -9.089221 9.394088 + 2013 | 3.814147 5.633356 0.68 0.498 -7.233878 14.86217 + 2014 | 2.980273 5.10807 0.58 0.560 -7.037572 12.99812 + 2015 | -2.627926 5.389501 -0.49 0.626 -13.19771 7.941856 + 2030 | 22.95529 12.06536 1.90 0.057 -.7070451 46.61762 + 2099 | 17.275 10.5652 1.64 0.102 -3.445262 37.99526 + 2100 | -.1443599 5.07015 -0.03 0.977 -10.08784 9.799118 + 2101 | 4.654193 4.37261 1.06 0.287 -3.921282 13.22967 + 2102 | -.264244 4.278704 -0.06 0.951 -8.655553 8.127065 + 2103 | .7888342 4.354727 0.18 0.856 -7.751569 9.329237 + 2104 | -1.457896 4.192574 -0.35 0.728 -9.680288 6.764496 + 2105 | 5.906129 5.292764 1.12 0.265 -4.473934 16.28619 + 2199 | 2.026278 5.616489 0.36 0.718 -8.988668 13.04122 + 9999 | 33.73552 16.43231 2.05 0.040 1.508803 65.96225 + | + house_administration | .9868055 2.177749 0.45 0.651 -3.284152 5.257762 + house_agriculture | 4.139181 1.469923 2.82 0.005 1.256397 7.021965 + house_appropriations | 5.452192 3.642168 1.50 0.135 -1.690755 12.59514 + house_armedservices | 3.573315 2.176882 1.64 0.101 -.6959418 7.842572 + house_budget | 4.446629 3.226078 1.38 0.168 -1.88029 10.77355 + house_dc | -.0530465 3.467659 -0.02 0.988 -6.853751 6.747658 + house_educlabor | -1.276299 1.938547 -0.66 0.510 -5.078139 2.525541 + house_energycommerce | 7.378043 1.270443 5.81 0.000 4.886476 9.869609 + house_foreignaffairs | 1.539898 2.114069 0.73 0.466 -2.606173 5.685968 + house_governmentop | 7.866957 3.083409 2.55 0.011 1.819838 13.91408 + house_intelligence | 4.932642 7.431229 0.66 0.507 -9.641336 19.50662 + house_interior | -.8099922 1.575826 -0.51 0.607 -3.900471 2.280487 + house_judiciary | 4.226296 1.30865 3.23 0.001 1.659797 6.792795 + house_mmf | 2.675717 1.999806 1.34 0.181 -1.246263 6.597696 + house_pocs | 4.85464 2.965088 1.64 0.102 -.9604319 10.66971 + house_pwt | .9807525 1.879048 0.52 0.602 -2.704399 4.665905 + house_rules | 3.539179 1.908663 1.85 0.064 -.2040528 7.28241 + house_sst | 4.78482 4.821896 0.99 0.321 -4.671785 14.24143 + house_smallbusi | -4.04853 2.225068 -1.82 0.069 -8.412288 .315228 + house_soc | -1.784571 4.372852 -0.41 0.683 -10.36052 6.791379 + house_veterans | -4.471288 2.035547 -2.20 0.028 -8.463362 -.4792144 + house_waysandmeans | 3.862473 1.238544 3.12 0.002 1.433465 6.291482 +house_naturalresources | -.9114859 1.539804 -0.59 0.554 -3.931319 2.108347 + house_bfs | -2.270354 1.778031 -1.28 0.202 -5.757393 1.216684 + house_eeo | 2.99684 3.588558 0.84 0.404 -4.040969 10.03465 + house_govreform | -.6741408 1.543854 -0.44 0.662 -3.701917 2.353636 + house_ir | 3.074118 1.953377 1.57 0.116 -.7568058 6.905042 + house_natsecur | 4.805221 5.08419 0.95 0.345 -5.165791 14.77623 + house_oversight | 7.424677 2.781747 2.67 0.008 1.969169 12.88018 + house_resources | -2.425845 1.237985 -1.96 0.050 -4.853757 .002066 + house_science | .2334033 2.07062 0.11 0.910 -3.827456 4.294262 + house_transp | 2.436377 1.447451 1.68 0.092 -.4023352 5.275089 + house_homeland | -2.592499 1.944346 -1.33 0.183 -6.405711 1.220713 + _cons | 2.406691 4.322021 0.56 0.578 -6.06957 10.88295 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,953 1 0 1 1 +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(62,331 observations deleted) +(16 missing values generated) +(2 real changes made) +(1 real change made) +(18 missing values generated) +(0 real changes made) +(0 real changes made) +(17 missing values generated) +(0 real changes made) +(0 real changes made) +(17 missing values generated) +(1 real change made) +(0 real changes made) +(17 missing values generated) +(1 real change made) +(1 real change made) +(5 real changes made) +(5 real changes made) +(5 real changes made) +file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/Table5_TopPanel_Cosponsors.xls saved + + +j = 1 k = 1 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11989 +----------------------+---------------------- NN matches = 3 + Number of obs | 6150 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 15.71586 27.17455 .5783301 +---------------------------------------------- +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 o +> cc3 occ4 borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if tag_bill==1, robust cluster(group_sponsor) + +Linear regression Number of obs = 60,667 + F(291, 4745) = . + Prob > F = . + R-squared = 0.1087 + Root MSE = 20.051 + + (Std. Err. adjusted for 4,746 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | .181151 .5066366 0.36 0.721 -.8120919 1.174394 + | + v2 | + 102 | -1.487548 .68375 -2.18 0.030 -2.828015 -.1470807 + 103 | -2.143528 .9117636 -2.35 0.019 -3.931008 -.3560481 + 104 | -3.383857 .9583205 -3.53 0.000 -5.26261 -1.505104 + 105 | -2.693032 .9465689 -2.85 0.004 -4.548746 -.8373177 + 106 | -1.266827 .9278916 -1.37 0.172 -3.085925 .5522714 + 107 | -1.270496 .9569147 -1.33 0.184 -3.146493 .6055005 + 108 | -5.44042 2.753013 -1.98 0.048 -10.8376 -.0432377 + 109 | -6.015908 2.728685 -2.20 0.028 -11.3654 -.6664184 + 110 | -5.235435 2.73104 -1.92 0.055 -10.58954 .1186716 + 111 | -6.529204 2.748874 -2.38 0.018 -11.91827 -1.140134 + | + minor | + 101 | -1.138461 3.88131 -0.29 0.769 -8.747631 6.470709 + 103 | -1.048378 3.919779 -0.27 0.789 -8.732964 6.636208 + 104 | -.8919341 2.8548 -0.31 0.755 -6.488668 4.704799 + 105 | 1.124839 2.26128 0.50 0.619 -3.30832 5.557998 + 107 | .5676126 2.047201 0.28 0.782 -3.445851 4.581076 + 108 | 4.795425 3.325563 1.44 0.149 -1.724221 11.31507 + 110 | -8.009097 2.422539 -3.31 0.001 -12.7584 -3.259796 + 200 | .6406121 2.275295 0.28 0.778 -3.820023 5.101247 + 201 | -2.322005 2.432497 -0.95 0.340 -7.090828 2.446818 + 202 | 2.189985 2.709061 0.81 0.419 -3.121032 7.501002 + 204 | 13.77909 4.240179 3.25 0.001 5.466371 22.09181 + 205 | 7.024387 3.783501 1.86 0.063 -.3930315 14.44181 + 206 | -2.633855 2.375793 -1.11 0.268 -7.291513 2.023803 + 207 | 1.1908 2.344456 0.51 0.612 -3.405421 5.787021 + 208 | 3.040247 2.283915 1.33 0.183 -1.437286 7.51778 + 209 | -7.439994 2.75356 -2.70 0.007 -12.83825 -2.041738 + 299 | 1.491327 3.39388 0.44 0.660 -5.162253 8.144908 + 300 | 6.187765 2.528973 2.45 0.014 1.229804 11.14573 + 301 | 4.66759 2.195739 2.13 0.034 .3629214 8.972258 + 302 | 4.708884 2.096127 2.25 0.025 .5995017 8.818266 + 321 | 7.675443 2.25725 3.40 0.001 3.250186 12.1007 + 322 | 9.868572 2.26898 4.35 0.000 5.420319 14.31683 + 323 | 10.4281 2.361385 4.42 0.000 5.798693 15.05751 + 324 | -.4440574 2.39831 -0.19 0.853 -5.145859 4.257744 + 325 | 10.17662 2.314122 4.40 0.000 5.639863 14.71337 + 331 | 13.03073 2.323743 5.61 0.000 8.475114 17.58634 + 332 | 8.352687 2.270125 3.68 0.000 3.902188 12.80319 + 333 | 8.812588 2.589439 3.40 0.001 3.736086 13.88909 + 334 | 9.479479 2.279268 4.16 0.000 5.011056 13.9479 + 335 | 1.958493 2.370242 0.83 0.409 -2.688281 6.605267 + 336 | 12.78635 2.383186 5.37 0.000 8.114196 17.4585 + 341 | 9.0093 2.745689 3.28 0.001 3.626475 14.39212 + 342 | 11.27351 4.403691 2.56 0.010 2.640231 19.90679 + 343 | 4.884115 2.839732 1.72 0.086 -.6830773 10.45131 + 344 | 6.848751 3.916136 1.75 0.080 -.8286928 14.5262 + 398 | 13.61599 2.332579 5.84 0.000 9.043048 18.18892 + 399 | 7.340341 3.117073 2.35 0.019 1.229432 13.45125 + 400 | 2.978354 2.826137 1.05 0.292 -2.562186 8.518893 + 401 | 6.649198 2.714987 2.45 0.014 1.326563 11.97183 + 402 | 6.823777 2.241848 3.04 0.002 2.428715 11.21884 + 403 | 2.052874 2.318329 0.89 0.376 -2.492126 6.597874 + 404 | 7.82466 3.010044 2.60 0.009 1.923577 13.72574 + 405 | 16.78559 3.589544 4.68 0.000 9.748422 23.82277 + 498 | 9.469615 3.48811 2.71 0.007 2.631301 16.30793 + 499 | 4.578845 3.50438 1.31 0.191 -2.291367 11.44906 + 500 | 1.205804 3.229091 0.37 0.709 -5.124713 7.536322 + 501 | 2.254038 2.352584 0.96 0.338 -2.358118 6.866194 + 502 | 2.588984 2.331559 1.11 0.267 -1.981953 7.15992 + 503 | 1.652418 2.042655 0.81 0.419 -2.352134 5.656969 + 504 | -3.009698 2.297909 -1.31 0.190 -7.514666 1.495269 + 505 | 1.740426 2.411474 0.72 0.470 -2.987182 6.468034 + 506 | .9616818 2.442174 0.39 0.694 -3.826113 5.749476 + 508 | 2.571445 2.300852 1.12 0.264 -1.939293 7.082183 + 529 | 10.2192 3.752346 2.72 0.006 2.862862 17.57554 + 530 | 3.245311 2.109937 1.54 0.124 -.8911449 7.381766 + 599 | -1.272438 3.497281 -0.36 0.716 -8.128732 5.583857 + 600 | 1.567532 2.31928 0.68 0.499 -2.979333 6.114396 + 601 | 6.794375 2.081208 3.26 0.001 2.714241 10.87451 + 602 | 4.164049 2.130054 1.95 0.051 -.0118455 8.339943 + 603 | 3.457683 2.403185 1.44 0.150 -1.253676 8.169041 + 604 | 8.649328 3.410962 2.54 0.011 1.96226 15.3364 + 606 | 5.869793 2.896865 2.03 0.043 .1905928 11.54899 + 607 | 7.163572 2.301176 3.11 0.002 2.6522 11.67494 + 609 | 8.406218 3.504606 2.40 0.016 1.535564 15.27687 + 698 | 3.682597 5.11718 0.72 0.472 -6.349451 13.71464 + 699 | 4.347709 2.86368 1.52 0.129 -1.266432 9.96185 + 700 | 6.62324 2.446092 2.71 0.007 1.827766 11.41872 + 701 | 5.106327 2.362948 2.16 0.031 .4738531 9.738802 + 703 | 6.037952 2.390856 2.53 0.012 1.350765 10.72514 + 704 | 2.736431 2.237044 1.22 0.221 -1.649213 7.122074 + 705 | 2.565498 2.36165 1.09 0.277 -2.064431 7.195428 + 707 | 7.254987 2.618048 2.77 0.006 2.122397 12.38758 + 708 | .5997461 2.708653 0.22 0.825 -4.710471 5.909963 + 709 | 9.206887 2.238184 4.11 0.000 4.819008 13.59477 + 710 | 8.968589 2.346331 3.82 0.000 4.36869 13.56849 + 711 | 8.035917 2.576603 3.12 0.002 2.984579 13.08725 + 798 | 7.824678 3.187478 2.45 0.014 1.575742 14.07361 + 799 | 5.615556 3.809899 1.47 0.141 -1.853613 13.08473 + 800 | 1.100117 2.428494 0.45 0.651 -3.660858 5.861091 + 801 | 5.263265 2.782895 1.89 0.059 -.1925016 10.71903 + 802 | 5.298831 2.389552 2.22 0.027 .6142011 9.983461 + 803 | 2.646975 2.178531 1.22 0.224 -1.623957 6.917907 + 805 | 6.503837 3.400256 1.91 0.056 -.1622427 13.16992 + 806 | 7.849083 2.291931 3.42 0.001 3.355836 12.34233 + 807 | 7.428599 2.493448 2.98 0.003 2.540284 12.31691 + 898 | 3.709955 3.690051 1.01 0.315 -3.524258 10.94417 + 899 | -2.629385 4.421427 -0.59 0.552 -11.29743 6.038664 + 1000 | 7.074946 2.739011 2.58 0.010 1.705213 12.44468 + 1001 | 9.846748 3.041827 3.24 0.001 3.883355 15.81014 + 1002 | 7.052308 2.391733 2.95 0.003 2.363401 11.74121 + 1003 | 7.55118 2.19811 3.44 0.001 3.241865 11.86049 + 1005 | 6.495645 2.67048 2.43 0.015 1.260265 11.73102 + 1006 | 8.24813 2.403038 3.43 0.001 3.537061 12.9592 + 1007 | 7.323432 2.390601 3.06 0.002 2.636745 12.01012 + 1010 | 2.302718 3.184626 0.72 0.470 -3.940627 8.546063 + 1098 | 1.929339 4.02688 0.48 0.632 -5.965214 9.823892 + 1099 | 4.245373 7.423125 0.57 0.567 -10.3074 18.79814 + 1200 | 3.301542 3.007129 1.10 0.272 -2.593826 9.196911 + 1201 | 7.867529 2.432081 3.23 0.001 3.099521 12.63554 + 1202 | 8.544699 2.955628 2.89 0.004 2.750297 14.3391 + 1203 | 3.261989 2.298963 1.42 0.156 -1.245045 7.769024 + 1204 | 5.011708 2.388233 2.10 0.036 .3296625 9.693754 + 1205 | 4.610482 2.533608 1.82 0.069 -.3565648 9.577529 + 1206 | 4.469492 2.571464 1.74 0.082 -.5717703 9.510755 + 1207 | 6.297821 2.39687 2.63 0.009 1.598844 10.9968 + 1208 | 7.221171 2.189207 3.30 0.001 2.929309 11.51303 + 1209 | 4.801618 2.129996 2.25 0.024 .6258374 8.977398 + 1210 | 2.89517 2.283474 1.27 0.205 -1.581498 7.371838 + 1211 | 4.536603 2.59072 1.75 0.080 -.5424113 9.615617 + 1299 | 5.887633 3.709068 1.59 0.112 -1.383861 13.15913 + 1300 | 2.620244 2.735109 0.96 0.338 -2.741839 7.982327 + 1301 | 5.265631 2.477999 2.12 0.034 .407604 10.12366 + 1302 | .3840317 2.385371 0.16 0.872 -4.292402 5.060466 + 1303 | 1.266409 2.260474 0.56 0.575 -3.165169 5.697986 + 1304 | 7.106391 2.455781 2.89 0.004 2.29192 11.92086 + 1305 | 6.532316 2.689047 2.43 0.015 1.260535 11.8041 + 1399 | 4.996007 5.140253 0.97 0.331 -5.081275 15.07329 + 1400 | 5.569286 2.402922 2.32 0.021 .8584437 10.28013 + 1401 | 7.645356 2.573803 2.97 0.003 2.599509 12.6912 + 1403 | 7.14234 3.108674 2.30 0.022 1.047896 13.23678 + 1404 | 4.541755 3.894902 1.17 0.244 -3.09406 12.17757 + 1405 | 7.223607 2.700796 2.67 0.008 1.928793 12.51842 + 1406 | 2.882155 2.264524 1.27 0.203 -1.557363 7.321674 + 1407 | 12.24521 2.971085 4.12 0.000 6.420505 18.06992 + 1408 | 1.637788 3.358476 0.49 0.626 -4.946384 8.221961 + 1409 | 8.961647 3.446207 2.60 0.009 2.205483 15.71781 + 1410 | 8.040162 2.856599 2.81 0.005 2.439903 13.64042 + 1499 | 3.440379 4.329909 0.79 0.427 -5.048251 11.92901 + 1500 | 3.484772 2.841647 1.23 0.220 -2.086174 9.055719 + 1501 | 5.688365 2.173504 2.62 0.009 1.427287 9.949442 + 1502 | 4.988189 2.24582 2.22 0.026 .5853397 9.391039 + 1504 | 5.331208 2.259344 2.36 0.018 .9018445 9.760572 + 1505 | 10.15131 2.626684 3.86 0.000 5.001794 15.30083 + 1507 | 6.227227 2.794271 2.23 0.026 .7491589 11.70529 + 1520 | 3.342639 2.435822 1.37 0.170 -1.432702 8.117979 + 1521 | 5.170304 2.225179 2.32 0.020 .8079213 9.532687 + 1522 | 16.75051 2.692993 6.22 0.000 11.47099 22.03003 + 1523 | 5.859919 2.197772 2.67 0.008 1.551266 10.16857 + 1524 | 13.92068 4.311173 3.23 0.001 5.468785 22.37258 + 1525 | 3.304167 2.212942 1.49 0.135 -1.034226 7.642561 + 1526 | 10.72353 2.586123 4.15 0.000 5.653529 15.79353 + 1599 | 10.90941 3.521113 3.10 0.002 4.006398 17.81243 + 1600 | 7.194245 2.619385 2.75 0.006 2.059035 12.32946 + 1602 | 1.515408 3.247108 0.47 0.641 -4.85043 7.881247 + 1603 | -.4587081 2.970711 -0.15 0.877 -6.282679 5.365263 + 1604 | 9.068186 4.461691 2.03 0.042 .3212015 17.81517 + 1605 | 4.198501 2.786941 1.51 0.132 -1.265198 9.662199 + 1606 | 9.996093 3.587641 2.79 0.005 2.962651 17.02953 + 1608 | 8.062396 2.140449 3.77 0.000 3.866122 12.25867 + 1609 | 9.657827 2.178976 4.43 0.000 5.386023 13.92963 + 1610 | 5.801038 3.041434 1.91 0.057 -.1615849 11.76366 + 1611 | 4.21096 2.669307 1.58 0.115 -1.022121 9.444041 + 1612 | 7.190052 2.585114 2.78 0.005 2.12203 12.25807 + 1614 | 5.698033 3.540787 1.61 0.108 -1.243553 12.63962 + 1615 | 5.9723 2.507211 2.38 0.017 1.057002 10.8876 + 1616 | 4.131695 2.566622 1.61 0.108 -.900076 9.163466 + 1617 | 3.733337 3.222903 1.16 0.247 -2.585049 10.05172 + 1619 | .5340282 2.625878 0.20 0.839 -4.61391 5.681967 + 1620 | 10.63996 3.997355 2.66 0.008 2.803286 18.47663 + 1698 | 10.44915 4.604933 2.27 0.023 1.421343 19.47695 + 1699 | 11.15481 2.540858 4.39 0.000 6.17355 16.13607 + 1700 | 6.80711 3.491629 1.95 0.051 -.0381036 13.65232 + 1701 | 8.577952 2.958361 2.90 0.004 2.778191 14.37771 + 1704 | 13.79816 4.247911 3.25 0.001 5.470287 22.12604 + 1705 | 4.74153 4.683222 1.01 0.311 -4.439759 13.92282 + 1706 | 8.448237 2.394254 3.53 0.000 3.754387 13.14209 + 1707 | 7.041474 2.354695 2.99 0.003 2.425179 11.65777 + 1708 | 11.95803 3.187548 3.75 0.000 5.708959 18.2071 + 1709 | 12.65261 2.578481 4.91 0.000 7.597594 17.70763 + 1798 | 8.47968 2.836448 2.99 0.003 2.918926 14.04043 + 1799 | 3.03536 5.220211 0.58 0.561 -7.198675 13.2694 + 1800 | 2.267987 2.613612 0.87 0.386 -2.855906 7.39188 + 1802 | 7.435852 2.401133 3.10 0.002 2.728516 12.14319 + 1803 | 4.403833 2.485349 1.77 0.076 -.4686054 9.276271 + 1804 | 5.953073 2.95884 2.01 0.044 .152373 11.75377 + 1806 | 4.137428 2.992747 1.38 0.167 -1.729746 10.0046 + 1807 | -7.554652 2.039637 -3.70 0.000 -11.55329 -3.556017 + 1808 | 2.306613 5.210555 0.44 0.658 -7.908492 12.52172 + 1899 | .8085061 6.542961 0.12 0.902 -12.01873 13.63575 + 1900 | 5.289985 2.943179 1.80 0.072 -.4800112 11.05998 + 1901 | 5.120857 2.343439 2.19 0.029 .5266293 9.715084 + 1902 | 10.64585 3.040155 3.50 0.000 4.68574 16.60597 + 1905 | 8.653045 3.225339 2.68 0.007 2.329883 14.97621 + 1906 | 6.392775 2.748771 2.33 0.020 1.003908 11.78164 + 1907 | 13.53733 4.124738 3.28 0.001 5.450926 21.62373 + 1908 | 10.03009 4.207523 2.38 0.017 1.781396 18.27879 + 1909 | 17.29221 4.911824 3.52 0.000 7.662756 26.92166 + 1910 | 8.402018 5.31414 1.58 0.114 -2.016163 18.8202 + 1911 | 6.471151 3.55011 1.82 0.068 -.488713 13.43101 + 1912 | -5.237403 3.653599 -1.43 0.152 -12.40015 1.925347 + 1914 | 3.739861 2.769704 1.35 0.177 -1.690044 9.169765 + 1915 | 15.67167 6.312909 2.48 0.013 3.295434 28.0479 + 1919 | 10.68421 3.670021 2.91 0.004 3.489264 17.87915 + 1920 | 7.765465 2.653382 2.93 0.003 2.563605 12.96733 + 1925 | 10.09008 3.066126 3.29 0.001 4.079049 16.10111 + 1926 | -1.157354 2.825734 -0.41 0.682 -6.697103 4.382396 + 1927 | 3.477551 2.727472 1.28 0.202 -1.86956 8.824662 + 1929 | 5.366846 2.729616 1.97 0.049 .0155316 10.71816 + 1999 | 6.04109 7.65233 0.79 0.430 -8.961029 21.04321 + 2000 | 1.019027 2.190609 0.47 0.642 -3.275583 5.313636 + 2001 | 2.692148 2.402899 1.12 0.263 -2.018648 7.402945 + 2002 | 1.214782 2.20745 0.55 0.582 -3.112846 5.542409 + 2003 | 6.622764 2.45864 2.69 0.007 1.802689 11.44284 + 2004 | 8.362185 2.155409 3.88 0.000 4.136583 12.58779 + 2005 | 11.54107 4.669592 2.47 0.013 2.386506 20.69564 + 2006 | 19.21253 2.250541 8.54 0.000 14.80043 23.62464 + 2007 | .0093 2.426887 0.00 0.997 -4.748526 4.767126 + 2008 | 16.76739 2.12167 7.90 0.000 12.60794 20.92685 + 2009 | 3.870885 3.210967 1.21 0.228 -2.4241 10.16587 + 2010 | -5.262861 2.188118 -2.41 0.016 -9.552588 -.9731341 + 2011 | 1.683503 2.198098 0.77 0.444 -2.62579 5.992796 + 2012 | -.750092 2.140005 -0.35 0.726 -4.945495 3.445311 + 2013 | .5966607 3.682338 0.16 0.871 -6.62243 7.815751 + 2014 | 5.054223 2.930261 1.72 0.085 -.6904485 10.79889 + 2015 | 6.498996 3.41736 1.90 0.057 -.2006154 13.19861 + 2030 | 2.739129 3.319745 0.83 0.409 -3.769111 9.24737 + 2099 | 7.710904 3.004951 2.57 0.010 1.819805 13.602 + 2100 | -1.209292 2.521039 -0.48 0.631 -6.151698 3.733115 + 2101 | 8.970686 2.116122 4.24 0.000 4.822105 13.11927 + 2102 | 8.612977 2.213144 3.89 0.000 4.274188 12.95177 + 2103 | 4.015924 2.131824 1.88 0.060 -.1634398 8.195288 + 2104 | 4.523487 2.185538 2.07 0.039 .2388186 8.808156 + 2105 | 10.05974 3.738257 2.69 0.007 2.731026 17.38846 + 2199 | 1.397848 7.767205 0.18 0.857 -13.82948 16.62517 + 9999 | 2.558026 2.730701 0.94 0.349 -2.795415 7.911467 + | + house_administration | -2.179901 .7360107 -2.96 0.003 -3.622824 -.7369786 + house_agriculture | 1.454817 .5763284 2.52 0.012 .3249455 2.584688 + house_appropriations | -10.45183 1.014009 -10.31 0.000 -12.43976 -8.463905 + house_armedservices | -1.128128 .5348648 -2.11 0.035 -2.176711 -.079545 + house_budget | -2.148515 .9005773 -2.39 0.017 -3.914065 -.3829658 + house_dc | -.8040689 2.902717 -0.28 0.782 -6.494741 4.886603 + house_educlabor | -2.689826 .3974307 -6.77 0.000 -3.468975 -1.910678 + house_energycommerce | .4370739 .3496377 1.25 0.211 -.2483783 1.122526 + house_foreignaffairs | 1.942573 .8795004 2.21 0.027 .2183446 3.666802 + house_governmentop | -.2209428 .9567857 -0.23 0.817 -2.096687 1.654801 + house_intelligence | -2.731596 1.627001 -1.68 0.093 -5.921273 .4580818 + house_interior | -2.246941 .8855306 -2.54 0.011 -3.982992 -.5108906 + house_judiciary | -.3996715 .3782087 -1.06 0.291 -1.141136 .3417931 + house_mmf | 3.120317 1.164133 2.68 0.007 .838076 5.402557 + house_pocs | 1.196689 .8824244 1.36 0.175 -.5332722 2.92665 + house_pwt | -.0464059 .8713785 -0.05 0.958 -1.754712 1.6619 + house_rules | -2.604685 .7480594 -3.48 0.001 -4.071229 -1.138142 + house_sst | 1.762464 1.490597 1.18 0.237 -1.159798 4.684726 + house_smallbusi | -.9749628 1.507526 -0.65 0.518 -3.930414 1.980489 + house_soc | 4.374309 4.351235 1.01 0.315 -4.156131 12.90475 + house_veterans | 1.390836 .7277996 1.91 0.056 -.0359886 2.817662 + house_waysandmeans | -.0658819 .3289127 -0.20 0.841 -.7107034 .5789396 +house_naturalresources | -2.381698 .7429437 -3.21 0.001 -3.838212 -.9251837 + house_bfs | -1.577874 .4801468 -3.29 0.001 -2.519185 -.6365633 + house_eeo | -3.674505 1.100666 -3.34 0.001 -5.832321 -1.516689 + house_govreform | 2.167566 .5675023 3.82 0.000 1.054998 3.280134 + house_ir | 3.435605 .9030788 3.80 0.000 1.665152 5.206059 + house_natsecur | .1099351 1.244792 0.09 0.930 -2.330435 2.550305 + house_oversight | -.9847428 .7715244 -1.28 0.202 -2.497289 .5278031 + house_resources | -3.300184 .6638074 -4.97 0.000 -4.601555 -1.998814 + house_science | 1.297628 .9464368 1.37 0.170 -.5578272 3.153083 + house_transp | .1442051 .6051753 0.24 0.812 -1.042219 1.33063 + house_homeland | -.7896592 1.003535 -0.79 0.431 -2.757053 1.177735 + sponsor_democrat | -6.972912 .3659102 -19.06 0.000 -7.690265 -6.255558 + sponsor_rookie | -2.959937 .4689468 -6.31 0.000 -3.87929 -2.040584 + sponsor_tenure_run | .0610141 .0597774 1.02 0.307 -.0561774 .1782056 + sponsor_age | -.0035133 .0199175 -0.18 0.860 -.0425607 .0355342 + leader | -.3637237 .5222134 -0.70 0.486 -1.387504 .660057 + ivycoll | -.0417731 .4851538 -0.09 0.931 -.9928997 .9093535 + black | -1.551141 .7504963 -2.07 0.039 -3.022462 -.0798195 + occ0 | 2.45473 .4842517 5.07 0.000 1.505372 3.404088 + occ1 | 1.875914 .5684362 3.30 0.001 .7615158 2.990313 + occ2 | 2.135428 .4427455 4.82 0.000 1.267441 3.003415 + occ3 | -.8064259 .6743326 -1.20 0.232 -2.128431 .5155789 + occ4 | 1.261389 .5011645 2.52 0.012 .2788739 2.243904 + borninstate | .6456336 .3185099 2.03 0.043 .0212063 1.270061 + tot_bills | -.0599941 .011817 -5.08 0.000 -.0831609 -.0368274 + NE | -.5023513 .5374198 -0.93 0.350 -1.555943 .5512408 + MW | -.7723141 .4604287 -1.68 0.094 -1.674968 .1303398 + WE | -2.208694 .5046005 -4.38 0.000 -3.197946 -1.219443 + pct_black | -1.205326 1.666917 -0.72 0.470 -4.473256 2.062604 + pct_urban | 1.438132 1.136807 1.27 0.206 -.7905377 3.666802 + pct_for_born | -3.915668 2.242678 -1.75 0.081 -8.312357 .4810213 + pct_age_over65 | 22.58392 4.429789 5.10 0.000 13.89948 31.26837 + lninc | 2.390292 .9220421 2.59 0.010 .5826617 4.197922 + lnpden | -.3266394 .1742737 -1.87 0.061 -.6682967 .0150179 + _cons | -10.12825 9.297308 -1.09 0.276 -28.35529 8.098786 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,746 1 0 1 1 + + +j = 1 k = 2 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6186 +----------------------+---------------------- NN matches = 3 + Number of obs | 2192 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 24.47749 44.63704 .5483673 +---------------------------------------------- +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 o +> cc3 occ4 borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if sponsor_party==100 & tag_bill==1, robust cluster(group_spon +> sor) +note: sponsor_democrat omitted because of collinearity + +Linear regression Number of obs = 32,846 + F(290, 2491) = . + Prob > F = . + R-squared = 0.0987 + Root MSE = 17.238 + + (Std. Err. adjusted for 2,492 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -1.504653 .4191066 -3.59 0.000 -2.326486 -.6828196 + | + v2 | + 102 | -1.629382 .6244899 -2.61 0.009 -2.853955 -.4048094 + 103 | .3644704 .9174305 0.40 0.691 -1.434535 2.163475 + 104 | -2.583997 1.056702 -2.45 0.015 -4.656103 -.5118914 + 105 | -2.226405 .9788701 -2.27 0.023 -4.145888 -.3069225 + 106 | -1.955763 .9205922 -2.12 0.034 -3.760968 -.1505587 + 107 | -2.197592 .9547956 -2.30 0.021 -4.069867 -.3253174 + 108 | -6.760168 3.008986 -2.25 0.025 -12.66054 -.8597959 + 109 | -6.695988 3.016735 -2.22 0.027 -12.61155 -.7804215 + 110 | -.4313507 2.977244 -0.14 0.885 -6.269478 5.406777 + 111 | -2.800401 3.019938 -0.93 0.354 -8.722248 3.121445 + | + minor | + 101 | -6.5286 3.903588 -1.67 0.095 -14.18321 1.12601 + 103 | -5.73601 3.013134 -1.90 0.057 -11.64451 .1724941 + 104 | -3.028993 4.773446 -0.63 0.526 -12.38932 6.331337 + 105 | -4.035667 3.032146 -1.33 0.183 -9.981453 1.910119 + 107 | -.9769445 2.79409 -0.35 0.727 -6.455923 4.502034 + 108 | 1.104473 3.983822 0.28 0.782 -6.707471 8.916417 + 110 | -13.00578 3.040115 -4.28 0.000 -18.96719 -7.044364 + 200 | -3.842424 3.021293 -1.27 0.204 -9.766929 2.082081 + 201 | -9.982452 2.86578 -3.48 0.001 -15.60201 -4.362896 + 202 | -5.681135 2.83289 -2.01 0.045 -11.2362 -.1260743 + 204 | 4.882668 4.950446 0.99 0.324 -4.824744 14.59008 + 205 | 2.50642 4.125656 0.61 0.544 -5.583649 10.59649 + 206 | -10.34825 2.92604 -3.54 0.000 -16.08597 -4.610533 + 207 | .5889172 3.309328 0.18 0.859 -5.9004 7.078234 + 208 | -1.839665 2.983526 -0.62 0.538 -7.690111 4.010781 + 209 | -10.0757 2.848169 -3.54 0.000 -15.66073 -4.490681 + 299 | -5.253401 6.659297 -0.79 0.430 -18.31173 7.804926 + 300 | -2.760144 3.029574 -0.91 0.362 -8.700886 3.180598 + 301 | -1.962125 2.902273 -0.68 0.499 -7.65324 3.72899 + 302 | -1.297583 2.806857 -0.46 0.644 -6.801597 4.20643 + 321 | -.7825753 2.928579 -0.27 0.789 -6.525274 4.960124 + 322 | -1.025096 2.91831 -0.35 0.725 -6.74766 4.697467 + 323 | 3.156473 3.04484 1.04 0.300 -2.814204 9.12715 + 324 | -3.571609 3.127616 -1.14 0.254 -9.704603 2.561385 + 325 | .0124107 2.922414 0.00 0.997 -5.7182 5.743021 + 331 | 1.424035 2.855724 0.50 0.618 -4.175801 7.023872 + 332 | -1.773517 2.835241 -0.63 0.532 -7.333189 3.786155 + 333 | -1.820993 2.925628 -0.62 0.534 -7.557905 3.91592 + 334 | .608508 2.870918 0.21 0.832 -5.021124 6.23814 + 335 | -6.396225 2.840569 -2.25 0.024 -11.96634 -.8261053 + 336 | 2.739529 2.976117 0.92 0.357 -3.096389 8.575448 + 341 | -1.463034 3.105071 -0.47 0.638 -7.551819 4.625751 + 342 | 1.722907 3.93873 0.44 0.662 -6.000614 9.446428 + 343 | -1.391148 3.275615 -0.42 0.671 -7.814355 5.03206 + 344 | -2.441427 3.555868 -0.69 0.492 -9.414187 4.531334 + 398 | 2.768453 2.895308 0.96 0.339 -2.909005 8.445911 + 399 | -.4439325 3.523127 -0.13 0.900 -7.352491 6.464626 + 400 | -2.306074 3.617373 -0.64 0.524 -9.399441 4.787293 + 401 | 3.251766 3.861356 0.84 0.400 -4.320032 10.82356 + 402 | 1.717028 3.049829 0.56 0.573 -4.263433 7.697489 + 403 | -2.038186 3.017483 -0.68 0.499 -7.955219 3.878848 + 404 | 1.406537 4.171668 0.34 0.736 -6.773757 9.58683 + 405 | 12.14016 4.495735 2.70 0.007 3.324395 20.95592 + 498 | 4.941099 5.025092 0.98 0.326 -4.912689 14.79489 + 499 | .8693855 5.328605 0.16 0.870 -9.579565 11.31834 + 500 | -6.664558 3.087638 -2.16 0.031 -12.71916 -.6099561 + 501 | -3.854659 3.042676 -1.27 0.205 -9.821094 2.111776 + 502 | -4.752523 2.979961 -1.59 0.111 -10.59598 1.090933 + 503 | -3.375251 2.769399 -1.22 0.223 -8.805811 2.055309 + 504 | -4.784126 2.956146 -1.62 0.106 -10.58088 1.012631 + 505 | -1.157411 3.283067 -0.35 0.724 -7.595232 5.280409 + 506 | -4.826404 3.085744 -1.56 0.118 -10.87729 1.224483 + 508 | -4.940393 2.857082 -1.73 0.084 -10.54289 .6621071 + 529 | 9.488975 5.836326 1.63 0.104 -1.955574 20.93352 + 530 | -3.396904 2.847178 -1.19 0.233 -8.979983 2.186176 + 599 | -3.916757 3.767441 -1.04 0.299 -11.30439 3.47088 + 600 | -3.375787 3.057739 -1.10 0.270 -9.37176 2.620185 + 601 | -.4993509 2.784705 -0.18 0.858 -5.959925 4.961223 + 602 | -3.612042 2.776623 -1.30 0.193 -9.056769 1.832685 + 603 | -4.152179 2.95396 -1.41 0.160 -9.944649 1.640291 + 604 | .4822072 4.317436 0.11 0.911 -7.983926 8.948341 + 606 | -.583162 3.349045 -0.17 0.862 -7.150361 5.984037 + 607 | -2.528544 2.875383 -0.88 0.379 -8.166932 3.109844 + 609 | .4769123 3.943413 0.12 0.904 -7.255793 8.209618 + 698 | 1.948849 5.511211 0.35 0.724 -8.858177 12.75587 + 699 | -.6010796 3.232954 -0.19 0.853 -6.940634 5.738475 + 700 | -.770972 3.138426 -0.25 0.806 -6.925163 5.383219 + 701 | -2.517319 3.04046 -0.83 0.408 -8.479407 3.444769 + 703 | -.5045308 3.132097 -0.16 0.872 -6.646313 5.637251 + 704 | -2.686394 2.925229 -0.92 0.359 -8.422524 3.049737 + 705 | -.1108192 3.197065 -0.03 0.972 -6.379997 6.158359 + 707 | .3473669 3.152511 0.11 0.912 -5.834444 6.529178 + 708 | -6.759362 3.034933 -2.23 0.026 -12.71061 -.8081106 + 709 | 3.301241 2.926717 1.13 0.259 -2.437808 9.04029 + 710 | .9417608 3.106294 0.30 0.762 -5.149423 7.032945 + 711 | -1.281831 3.277324 -0.39 0.696 -7.70839 5.144729 + 798 | -3.112874 3.51982 -0.88 0.377 -10.01495 3.7892 + 799 | -1.27314 5.162095 -0.25 0.805 -11.39558 8.849298 + 800 | -4.279421 3.106214 -1.38 0.168 -10.37045 1.811606 + 801 | 2.305548 3.64684 0.63 0.527 -4.845602 9.456698 + 802 | 1.663355 3.213794 0.52 0.605 -4.638628 7.965339 + 803 | -2.599678 2.953575 -0.88 0.379 -8.391393 3.192037 + 805 | 4.141365 4.769834 0.87 0.385 -5.211882 13.49461 + 806 | 2.462579 2.987782 0.82 0.410 -3.396212 8.321371 + 807 | -.568688 3.18235 -0.18 0.858 -6.809011 5.671635 + 898 | 1.925115 4.423785 0.44 0.663 -6.749558 10.59979 + 899 | -9.52394 3.675541 -2.59 0.010 -16.73137 -2.31651 + 1000 | 1.143682 3.640996 0.31 0.753 -5.996007 8.283371 + 1001 | -4.036332 3.510038 -1.15 0.250 -10.91923 2.846561 + 1002 | .4143428 3.327396 0.12 0.901 -6.110404 6.939089 + 1003 | 2.777329 2.997155 0.93 0.354 -3.099842 8.654501 + 1005 | -.4433199 3.248677 -0.14 0.891 -6.813706 5.927066 + 1006 | 2.10158 3.196404 0.66 0.511 -4.166302 8.369462 + 1007 | 1.186695 3.171774 0.37 0.708 -5.03289 7.40628 + 1010 | -5.981697 3.217513 -1.86 0.063 -12.29097 .327578 + 1098 | -2.614198 4.921892 -0.53 0.595 -12.26562 7.037223 + 1099 | 3.173188 10.82601 0.29 0.769 -18.05572 24.40209 + 1200 | -4.544944 3.660388 -1.24 0.214 -11.72266 2.632771 + 1201 | -1.146886 3.096197 -0.37 0.711 -7.218271 4.924498 + 1202 | 4.017712 3.903789 1.03 0.303 -3.637292 11.67272 + 1203 | 1.583597 3.063342 0.52 0.605 -4.423362 7.590557 + 1204 | 3.861734 3.466892 1.11 0.265 -2.936552 10.66002 + 1205 | -1.843858 3.541772 -0.52 0.603 -8.788977 5.101261 + 1206 | -4.531851 3.161575 -1.43 0.152 -10.73144 1.667734 + 1207 | .1329606 3.211347 0.04 0.967 -6.164224 6.430145 + 1208 | -2.335531 2.847219 -0.82 0.412 -7.918689 3.247628 + 1209 | -5.367776 2.821594 -1.90 0.057 -10.90069 .1651355 + 1210 | -2.396623 3.138282 -0.76 0.445 -8.550533 3.757286 + 1211 | -4.037933 3.162216 -1.28 0.202 -10.23878 2.162911 + 1299 | -2.565023 4.383755 -0.59 0.559 -11.1612 6.031156 + 1300 | -1.798054 3.292855 -0.55 0.585 -8.255069 4.658961 + 1301 | -3.536508 2.970065 -1.19 0.234 -9.360559 2.287543 + 1302 | -5.735506 2.978758 -1.93 0.054 -11.5766 .1055908 + 1303 | -4.702923 2.806768 -1.68 0.094 -10.20676 .8009164 + 1304 | -2.172921 2.976804 -0.73 0.465 -8.010186 3.664343 + 1305 | .7069628 3.268185 0.22 0.829 -5.701676 7.115601 + 1399 | -2.223742 5.232121 -0.43 0.671 -12.4835 8.036011 + 1400 | -.8596374 3.050316 -0.28 0.778 -6.841053 5.121778 + 1401 | -.0912058 3.232232 -0.03 0.977 -6.429343 6.246932 + 1403 | -2.40725 3.575341 -0.67 0.501 -9.418195 4.603696 + 1404 | -2.334313 4.690808 -0.50 0.619 -11.5326 6.863972 + 1405 | -.2177879 3.279479 -0.07 0.947 -6.648574 6.212998 + 1406 | -5.262729 2.852365 -1.85 0.065 -10.85598 .3305219 + 1407 | 1.921207 3.466796 0.55 0.580 -4.876891 8.719304 + 1408 | -2.567878 3.877663 -0.66 0.508 -10.17165 5.035896 + 1409 | -2.624109 3.64259 -0.72 0.471 -9.766925 4.518706 + 1410 | .0192848 3.666829 0.01 0.996 -7.171062 7.209632 + 1499 | -4.10031 5.275279 -0.78 0.437 -14.44469 6.244074 + 1500 | -.686719 3.775295 -0.18 0.856 -8.089759 6.716321 + 1501 | -.8500843 2.879411 -0.30 0.768 -6.49637 4.796201 + 1502 | .6640533 3.047418 0.22 0.828 -5.31168 6.639786 + 1504 | -1.157432 2.970959 -0.39 0.697 -6.983236 4.668372 + 1505 | 1.374982 3.435468 0.40 0.689 -5.361685 8.111649 + 1507 | -1.272409 3.862026 -0.33 0.742 -8.84552 6.300703 + 1520 | -3.322952 3.200682 -1.04 0.299 -9.599223 2.95332 + 1521 | .6599275 3.040905 0.22 0.828 -5.303033 6.622889 + 1522 | 10.97505 3.599962 3.05 0.002 3.915819 18.03427 + 1523 | .3099647 2.873598 0.11 0.914 -5.324922 5.944852 + 1524 | 9.425047 5.423283 1.74 0.082 -1.209559 20.05965 + 1525 | -1.845918 2.888719 -0.64 0.523 -7.510455 3.81862 + 1526 | .490454 3.377092 0.15 0.885 -6.131742 7.11265 + 1599 | 10.04892 5.476007 1.84 0.067 -.6890773 20.78691 + 1600 | 2.819115 3.313694 0.85 0.395 -3.678763 9.316992 + 1602 | -2.005653 3.778598 -0.53 0.596 -9.415169 5.403862 + 1603 | -7.992959 3.502427 -2.28 0.023 -14.86093 -1.124991 + 1604 | 5.232505 6.166996 0.85 0.396 -6.860461 17.32547 + 1605 | -1.11745 3.418464 -0.33 0.744 -7.820772 5.585873 + 1606 | 3.712815 4.194374 0.89 0.376 -4.512004 11.93763 + 1608 | .992505 2.841873 0.35 0.727 -4.580171 6.56518 + 1609 | -.0289411 2.876642 -0.01 0.992 -5.669797 5.611914 + 1610 | .0099632 3.555979 0.00 0.998 -6.963016 6.982943 + 1611 | -1.581178 3.577593 -0.44 0.659 -8.596539 5.434184 + 1612 | .0903433 3.25669 0.03 0.978 -6.295754 6.476441 + 1614 | 1.254671 4.248081 0.30 0.768 -7.075462 9.584804 + 1615 | .7956784 3.32544 0.24 0.811 -5.725233 7.31659 + 1616 | .1157393 3.394055 0.03 0.973 -6.53972 6.771199 + 1617 | -1.598306 3.850372 -0.42 0.678 -9.148564 5.951952 + 1619 | -6.829136 3.152548 -2.17 0.030 -13.01102 -.6472521 + 1620 | 3.905841 4.937194 0.79 0.429 -5.775586 13.58727 + 1698 | 8.276094 6.81929 1.21 0.225 -5.095966 21.64815 + 1699 | 5.873755 3.283536 1.79 0.074 -.5649865 12.3125 + 1700 | 5.238261 4.192256 1.25 0.212 -2.982404 13.45893 + 1701 | 4.319728 3.562667 1.21 0.225 -2.666366 11.30582 + 1704 | 19.49147 7.976712 2.44 0.015 3.849798 35.13313 + 1705 | 1.465906 5.682244 0.26 0.796 -9.676502 12.60831 + 1706 | 2.752114 3.174905 0.87 0.386 -3.473611 8.977839 + 1707 | 1.909757 3.009748 0.63 0.526 -3.992107 7.811621 + 1708 | 6.099744 3.924851 1.55 0.120 -1.596562 13.79605 + 1709 | 4.888155 3.509759 1.39 0.164 -1.994191 11.7705 + 1798 | -.9074889 3.450357 -0.26 0.793 -7.673352 5.858374 + 1799 | -3.18367 6.555552 -0.49 0.627 -16.03856 9.671222 + 1800 | -4.00804 3.404158 -1.18 0.239 -10.68331 2.667231 + 1802 | -.9057501 3.153158 -0.29 0.774 -7.08883 5.27733 + 1803 | .1519961 3.240552 0.05 0.963 -6.202457 6.506449 + 1804 | -1.758238 3.8334 -0.46 0.647 -9.275216 5.75874 + 1806 | 2.46084 3.919972 0.63 0.530 -5.225898 10.14758 + 1807 | -9.684933 2.772591 -3.49 0.000 -15.12175 -4.248112 + 1808 | 8.598686 8.400476 1.02 0.306 -7.873947 25.07132 + 1899 | 2.270926 9.049674 0.25 0.802 -15.47473 20.01658 + 1900 | .4940202 3.786824 0.13 0.896 -6.931626 7.919666 + 1901 | 1.098003 3.000225 0.37 0.714 -4.78519 6.981195 + 1902 | 2.384439 3.666321 0.65 0.516 -4.804912 9.573789 + 1905 | -.7933373 3.317149 -0.24 0.811 -7.29799 5.711316 + 1906 | .4437256 3.201704 0.14 0.890 -5.834549 6.722001 + 1907 | 7.592664 5.318405 1.43 0.154 -2.836286 18.02161 + 1908 | 4.835922 4.736782 1.02 0.307 -4.452514 14.12436 + 1909 | 4.01245 5.37423 0.75 0.455 -6.525967 14.55087 + 1910 | -6.432853 3.483391 -1.85 0.065 -13.26349 .3977868 + 1911 | -.4954671 3.427627 -0.14 0.885 -7.216758 6.225823 + 1912 | -8.364095 3.598837 -2.32 0.020 -15.42111 -1.307075 + 1914 | -5.385254 3.21666 -1.67 0.094 -11.69286 .9223497 + 1915 | 15.09583 5.04893 2.99 0.003 5.195294 24.99636 + 1919 | 6.703139 5.682356 1.18 0.238 -4.439488 17.84577 + 1920 | 4.155355 3.302396 1.26 0.208 -2.320368 10.63108 + 1925 | -1.41078 3.093563 -0.46 0.648 -7.476998 4.655439 + 1926 | 2.392787 3.888448 0.62 0.538 -5.232136 10.01771 + 1927 | 2.659814 3.987979 0.67 0.505 -5.160282 10.47991 + 1929 | .8084417 3.750381 0.22 0.829 -6.545742 8.162626 + 1999 | -1.544555 9.392164 -0.16 0.869 -19.96181 16.8727 + 2000 | -2.941622 2.988359 -0.98 0.325 -8.801544 2.918301 + 2001 | -.7481107 3.225959 -0.23 0.817 -7.073947 5.577726 + 2002 | -3.485878 3.145677 -1.11 0.268 -9.654289 2.682532 + 2003 | -.5536176 3.179536 -0.17 0.862 -6.788423 5.681188 + 2004 | 1.837791 2.874153 0.64 0.523 -3.798182 7.473765 + 2005 | 11.15151 6.051235 1.84 0.065 -.7144569 23.01748 + 2006 | 11.61248 2.96505 3.92 0.000 5.798265 17.4267 + 2007 | -4.167275 3.189268 -1.31 0.191 -10.42116 2.086613 + 2008 | 11.63104 2.870175 4.05 0.000 6.00287 17.25922 + 2009 | 3.392518 4.43068 0.77 0.444 -5.295676 12.08071 + 2010 | -14.4503 2.890357 -5.00 0.000 -20.11805 -8.782549 + 2011 | .6628708 3.1371 0.21 0.833 -5.488721 6.814462 + 2012 | -5.487865 2.916416 -1.88 0.060 -11.20671 .2309845 + 2013 | -1.700909 4.639553 -0.37 0.714 -10.79869 7.396868 + 2014 | 5.316854 3.828455 1.39 0.165 -2.190428 12.82414 + 2015 | -1.73616 4.146374 -0.42 0.675 -9.866854 6.394533 + 2030 | -.6369125 4.232596 -0.15 0.880 -8.93668 7.662855 + 2099 | 4.015193 3.649948 1.10 0.271 -3.14205 11.17244 + 2100 | -2.402384 3.695001 -0.65 0.516 -9.647974 4.843206 + 2101 | -.1695729 2.844776 -0.06 0.952 -5.747941 5.408796 + 2102 | .7976878 2.931131 0.27 0.786 -4.950016 6.545392 + 2103 | 1.231628 2.89077 0.43 0.670 -4.436932 6.900187 + 2104 | -.7237611 2.984311 -0.24 0.808 -6.575747 5.128224 + 2105 | -.0953676 5.406103 -0.02 0.986 -10.69629 10.50555 + 2199 | 2.828799 12.91653 0.22 0.827 -22.49945 28.15705 + 9999 | -1.328534 3.79288 -0.35 0.726 -8.766056 6.108988 + | + house_administration | .3791125 .8486428 0.45 0.655 -1.285005 2.04323 + house_agriculture | -.0228344 .6555862 -0.03 0.972 -1.308384 1.262716 + house_appropriations | -9.946994 1.003416 -9.91 0.000 -11.91461 -7.979379 + house_armedservices | -2.420493 .6040278 -4.01 0.000 -3.604941 -1.236044 + house_budget | -4.014353 1.186557 -3.38 0.001 -6.341092 -1.687615 + house_dc | -5.975084 3.005221 -1.99 0.047 -11.86807 -.0820944 + house_educlabor | -3.254084 .3648241 -8.92 0.000 -3.969474 -2.538694 + house_energycommerce | -1.047187 .3929438 -2.66 0.008 -1.817717 -.2766567 + house_foreignaffairs | .0715551 .8509778 0.08 0.933 -1.597142 1.740252 + house_governmentop | .3347973 1.179455 0.28 0.777 -1.978016 2.64761 + house_intelligence | -.2993574 1.726773 -0.17 0.862 -3.685415 3.0867 + house_interior | -3.75799 .9928044 -3.79 0.000 -5.704797 -1.811183 + house_judiciary | 1.424866 .4768172 2.99 0.003 .489867 2.359865 + house_mmf | 4.47198 1.297178 3.45 0.001 1.928321 7.015639 + house_pocs | .0502767 1.016215 0.05 0.961 -1.942437 2.04299 + house_pwt | -.4352154 1.019508 -0.43 0.669 -2.434386 1.563955 + house_rules | .9207163 1.143212 0.81 0.421 -1.321028 3.16246 + house_sst | 2.938922 1.405141 2.09 0.037 .1835571 5.694287 + house_smallbusi | -5.057488 1.397991 -3.62 0.000 -7.798833 -2.316144 + house_soc | .2358551 5.530196 0.04 0.966 -10.6084 11.08011 + house_veterans | -.9605027 .6722823 -1.43 0.153 -2.278792 .357787 + house_waysandmeans | .7680173 .3504154 2.19 0.028 .0808819 1.455153 +house_naturalresources | -4.112959 .8552191 -4.81 0.000 -5.789973 -2.435946 + house_bfs | -2.105708 .5193972 -4.05 0.000 -3.124203 -1.087214 + house_eeo | -2.315105 1.175991 -1.97 0.049 -4.621126 -.0090854 + house_govreform | 3.911697 .6950695 5.63 0.000 2.548724 5.274671 + house_ir | 2.212661 .9214647 2.40 0.016 .4057456 4.019577 + house_natsecur | 1.420435 1.53719 0.92 0.356 -1.593867 4.434737 + house_oversight | -3.103377 .9969704 -3.11 0.002 -5.058354 -1.148401 + house_resources | 1.684125 .8909869 1.89 0.059 -.0630264 3.431276 + house_science | -1.212698 .89666 -1.35 0.176 -2.970974 .5455777 + house_transp | -1.990137 .5776158 -3.45 0.001 -3.122794 -.8574804 + house_homeland | -.5607219 1.198633 -0.47 0.640 -2.911142 1.789699 + sponsor_democrat | 0 (omitted) + sponsor_rookie | -3.243307 .5739206 -5.65 0.000 -4.368717 -2.117896 + sponsor_tenure_run | -.0753429 .0572446 -1.32 0.188 -.1875947 .0369089 + sponsor_age | -.0215911 .0210505 -1.03 0.305 -.0628694 .0196871 + leader | -.0800954 .5224264 -0.15 0.878 -1.10453 .9443393 + ivycoll | .1848397 .4864113 0.38 0.704 -.7689725 1.138652 + black | -3.10229 .7751107 -4.00 0.000 -4.622217 -1.582362 + occ0 | .2003953 .5168317 0.39 0.698 -.8130686 1.213859 + occ1 | 1.500778 .5606242 2.68 0.007 .4014401 2.600115 + occ2 | .7099638 .4860105 1.46 0.144 -.2430625 1.66299 + occ3 | .6301644 .795211 0.79 0.428 -.9291783 2.189507 + occ4 | -.1452163 .6251953 -0.23 0.816 -1.371172 1.08074 + borninstate | .4816827 .342829 1.41 0.160 -.1905765 1.153942 + tot_bills | -.0577706 .0104914 -5.51 0.000 -.0783435 -.0371978 + NE | -2.633415 .5556392 -4.74 0.000 -3.722977 -1.543852 + MW | -.7964627 .5709336 -1.40 0.163 -1.916016 .3230905 + WE | -1.881915 .5561981 -3.38 0.001 -2.972574 -.7912571 + pct_black | 1.130878 1.797991 0.63 0.529 -2.394832 4.656588 + pct_urban | -.6649671 1.317534 -0.50 0.614 -3.248542 1.918608 + pct_for_born | -1.960299 2.254701 -0.87 0.385 -6.381581 2.460982 + pct_age_over65 | 15.8546 5.630836 2.82 0.005 4.812998 26.8962 + lninc | -1.141879 .8532938 -1.34 0.181 -2.815117 .5313592 + lnpden | -.2210076 .1942229 -1.14 0.255 -.6018627 .1598474 + _cons | 30.09988 8.745922 3.44 0.001 12.94986 47.24991 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,492 1 0 1 1 + + +j = 1 k = 3 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 11.12081 18.1168 .6138395 +---------------------------------------------- +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 o +> cc3 occ4 borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if sponsor_party==200 & tag_bill==1, robust cluster(group_spon +> sor) +note: sponsor_democrat omitted because of collinearity + +Linear regression Number of obs = 27,669 + F(289, 2243) = . + Prob > F = . + R-squared = 0.1704 + Root MSE = 21.845 + + (Std. Err. adjusted for 2,244 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 3.665664 .9164247 4.00 0.000 1.868535 5.462794 + | + v2 | + 102 | -.6937087 1.39065 -0.50 0.618 -3.420805 2.033387 + 103 | -4.269027 1.641423 -2.60 0.009 -7.487893 -1.05016 + 104 | -1.999287 1.628491 -1.23 0.220 -5.192794 1.194221 + 105 | -.7054743 1.597064 -0.44 0.659 -3.837351 2.426403 + 106 | 1.18941 1.618171 0.74 0.462 -1.98386 4.36268 + 107 | 1.983774 1.629192 1.22 0.223 -1.211108 5.178655 + 108 | 3.475012 4.154618 0.84 0.403 -4.672287 11.62231 + 109 | 2.035639 4.094132 0.50 0.619 -5.993044 10.06432 + 110 | -4.182659 4.162108 -1.00 0.315 -12.34464 3.979327 + 111 | -4.32396 4.223233 -1.02 0.306 -12.60581 3.957895 + | + minor | + 101 | 5.47676 5.833534 0.94 0.348 -5.96293 16.91645 + 103 | 7.91402 7.982619 0.99 0.322 -7.740073 23.56811 + 104 | 2.888076 3.545674 0.81 0.415 -4.06507 9.841223 + 105 | 6.51559 3.039925 2.14 0.032 .5542293 12.47695 + 107 | 4.564393 2.794563 1.63 0.103 -.9158067 10.04459 + 108 | 10.7174 6.362052 1.68 0.092 -1.758727 23.19352 + 110 | -2.864991 3.665726 -0.78 0.435 -10.05356 4.323579 + 200 | 4.476304 3.341479 1.34 0.181 -2.076412 11.02902 + 201 | 14.76501 15.20664 0.97 0.332 -15.05555 44.58556 + 202 | 15.90081 7.781481 2.04 0.041 .641153 31.16047 + 204 | 19.85362 6.170239 3.22 0.001 7.753644 31.9536 + 205 | 14.75371 6.603312 2.23 0.026 1.804473 27.70295 + 206 | 7.091947 3.866012 1.83 0.067 -.4893889 14.67328 + 207 | 4.538096 3.039329 1.49 0.136 -1.422096 10.49829 + 208 | 7.103013 3.27089 2.17 0.030 .6887255 13.5173 + 209 | -9.045901 2.90619 -3.11 0.002 -14.74501 -3.346797 + 299 | 6.512463 4.087318 1.59 0.111 -1.502859 14.52778 + 300 | 15.12661 3.943463 3.84 0.000 7.393388 22.85983 + 301 | 11.09023 3.184369 3.48 0.001 4.845614 17.33485 + 302 | 10.92478 2.924067 3.74 0.000 5.190624 16.65894 + 321 | 17.828 3.297411 5.41 0.000 11.3617 24.29429 + 322 | 21.99393 3.312967 6.64 0.000 15.49713 28.49073 + 323 | 17.94442 3.462544 5.18 0.000 11.1543 24.73455 + 324 | 3.211908 3.400091 0.94 0.345 -3.455747 9.879562 + 325 | 25.76055 3.589005 7.18 0.000 18.72243 32.79867 + 331 | 29.53262 3.564568 8.29 0.000 22.54242 36.52282 + 332 | 24.22703 3.776019 6.42 0.000 16.82217 31.63189 + 333 | 31.91536 5.601986 5.70 0.000 20.92974 42.90098 + 334 | 19.98037 3.52674 5.67 0.000 13.06435 26.89638 + 335 | 14.04282 4.021147 3.49 0.000 6.157264 21.92838 + 336 | 25.10292 3.763029 6.67 0.000 17.72353 32.4823 + 341 | 28.95537 5.719363 5.06 0.000 17.73958 40.17117 + 342 | 27.66625 7.01154 3.95 0.000 13.91646 41.41603 + 343 | 9.702057 4.745693 2.04 0.041 .3956473 19.00847 + 344 | 37.94039 11.81351 3.21 0.001 14.77384 61.10694 + 398 | 24.6378 3.489507 7.06 0.000 17.7948 31.4808 + 399 | 17.90584 5.138343 3.48 0.001 7.829432 27.98224 + 400 | 9.894495 4.236193 2.34 0.020 1.587226 18.20176 + 401 | 11.3155 3.669893 3.08 0.002 4.118758 18.51224 + 402 | 12.61213 3.110495 4.05 0.000 6.512383 18.71188 + 403 | 9.756401 3.813736 2.56 0.011 2.27758 17.23522 + 404 | 13.65711 4.117598 3.32 0.001 5.58241 21.73181 + 405 | 21.14135 5.509781 3.84 0.000 10.33655 31.94615 + 498 | 12.74029 4.848075 2.63 0.009 3.233105 22.24747 + 499 | 10.34967 4.110019 2.52 0.012 2.289829 18.40951 + 500 | 9.843541 5.23674 1.88 0.060 -.425822 20.1129 + 501 | 6.044485 3.621681 1.67 0.095 -1.057712 13.14668 + 502 | 8.962986 3.751423 2.39 0.017 1.606362 16.31961 + 503 | 6.685657 2.841964 2.35 0.019 1.112503 12.25881 + 504 | -2.627999 3.268438 -0.80 0.421 -9.03748 3.781481 + 505 | 3.585748 3.377757 1.06 0.289 -3.038107 10.2096 + 506 | 5.552254 4.529226 1.23 0.220 -3.329658 14.43417 + 508 | 12.33011 4.087419 3.02 0.003 4.314588 20.34562 + 529 | 12.55123 4.811526 2.61 0.009 3.115718 21.98674 + 530 | 10.26709 2.901521 3.54 0.000 4.577147 15.95704 + 599 | .7655952 5.593122 0.14 0.891 -10.20264 11.73383 + 600 | 4.253168 3.546586 1.20 0.231 -2.701766 11.2081 + 601 | 14.49985 2.957432 4.90 0.000 8.700262 20.29944 + 602 | 12.36125 3.196543 3.87 0.000 6.092764 18.62975 + 603 | 12.09238 4.781483 2.53 0.012 2.71579 21.46898 + 604 | 16.35844 6.312637 2.59 0.010 3.979216 28.73766 + 606 | 10.59442 4.51539 2.35 0.019 1.739638 19.4492 + 607 | 20.05785 3.75053 5.35 0.000 12.70298 27.41272 + 609 | 15.08057 5.645832 2.67 0.008 4.008963 26.15217 + 698 | -.7339024 8.282833 -0.09 0.929 -16.97672 15.50892 + 699 | 8.642743 5.779215 1.50 0.135 -2.690426 19.97591 + 700 | 13.14227 3.643548 3.61 0.000 5.997187 20.28734 + 701 | 11.81029 3.471165 3.40 0.001 5.003262 18.61733 + 703 | 11.79911 3.625853 3.25 0.001 4.688736 18.90949 + 704 | 7.303853 3.299253 2.21 0.027 .8339439 13.77376 + 705 | 3.1892 3.23591 0.99 0.324 -3.156491 9.534892 + 707 | 19.8253 6.288305 3.15 0.002 7.493789 32.1568 + 708 | 14.06896 6.91469 2.03 0.042 .5091045 27.62882 + 709 | 14.7701 3.191484 4.63 0.000 8.511533 21.02867 + 710 | 15.98472 3.416159 4.68 0.000 9.285552 22.68388 + 711 | 15.54588 3.611991 4.30 0.000 8.462684 22.62907 + 798 | 18.86531 5.381792 3.51 0.000 8.311494 29.41912 + 799 | 13.43685 5.276085 2.55 0.011 3.090332 23.78337 + 800 | 5.893997 3.739469 1.58 0.115 -1.439185 13.22718 + 801 | 8.5511 4.018001 2.13 0.033 .671712 16.43049 + 802 | 7.13458 3.360675 2.12 0.034 .5442219 13.72494 + 803 | 8.058404 3.011838 2.68 0.008 2.152122 13.96469 + 805 | 7.829775 4.494409 1.74 0.082 -.9838595 16.64341 + 806 | 11.86417 3.334272 3.56 0.000 5.325591 18.40275 + 807 | 15.13879 3.886631 3.90 0.000 7.517025 22.76056 + 898 | 4.55607 6.166538 0.74 0.460 -7.536649 16.64879 + 899 | 2.571777 9.597914 0.27 0.789 -16.24995 21.3935 + 1000 | 11.11078 3.903181 2.85 0.004 3.456556 18.765 + 1001 | 23.2983 4.224799 5.51 0.000 15.01338 31.58322 + 1002 | 13.40967 3.17585 4.22 0.000 7.181759 19.63758 + 1003 | 13.0355 3.043612 4.28 0.000 7.066914 19.00409 + 1005 | 12.93311 4.232653 3.06 0.002 4.632779 21.23343 + 1006 | 15.70998 3.416153 4.60 0.000 9.010824 22.40913 + 1007 | 12.92127 3.225246 4.01 0.000 6.59649 19.24605 + 1010 | 14.99273 6.922079 2.17 0.030 1.418383 28.56708 + 1098 | 5.426917 6.274941 0.86 0.387 -6.878381 17.73221 + 1099 | 7.637615 10.73165 0.71 0.477 -13.4074 28.68263 + 1200 | 10.74988 4.730437 2.27 0.023 1.473387 20.02637 + 1201 | 17.05404 3.595986 4.74 0.000 10.00224 24.10585 + 1202 | 11.71766 4.083791 2.87 0.004 3.709256 19.72606 + 1203 | 4.725682 3.132443 1.51 0.132 -1.417108 10.86847 + 1204 | 7.919544 3.049157 2.60 0.009 1.94008 13.89901 + 1205 | 10.2112 3.520392 2.90 0.004 3.307635 17.11477 + 1206 | 11.02708 4.351609 2.53 0.011 2.493475 19.56068 + 1207 | 11.32383 3.258653 3.48 0.001 4.933535 17.71412 + 1208 | 17.52929 3.231101 5.43 0.000 11.19303 23.86555 + 1209 | 17.72902 3.016476 5.88 0.000 11.81364 23.64439 + 1210 | 8.849881 3.087466 2.87 0.004 2.795291 14.90447 + 1211 | 15.39959 4.041627 3.81 0.000 7.473874 23.32531 + 1299 | 15.01116 5.988604 2.51 0.012 3.267377 26.75495 + 1300 | 5.658736 4.208059 1.34 0.179 -2.593361 13.91083 + 1301 | 19.78897 5.205855 3.80 0.000 9.580174 29.99777 + 1302 | 5.765544 4.055654 1.42 0.155 -2.187684 13.71877 + 1303 | 8.815964 3.370904 2.62 0.009 2.205546 15.42638 + 1304 | 18.9172 3.987969 4.74 0.000 11.09671 26.7377 + 1305 | 13.42185 4.67538 2.87 0.004 4.253328 22.59037 + 1399 | 10.29617 7.973613 1.29 0.197 -5.340263 25.9326 + 1400 | 9.984245 3.682943 2.71 0.007 2.761913 17.20658 + 1401 | 15.77015 4.015757 3.93 0.000 7.895161 23.64514 + 1403 | 23.54084 6.955234 3.38 0.001 9.901476 37.18021 + 1404 | 12.16042 6.147555 1.98 0.048 .1049289 24.21591 + 1405 | 15.22899 4.576315 3.33 0.001 6.254733 24.20324 + 1406 | 11.21653 3.853433 2.91 0.004 3.659862 18.7732 + 1407 | 27.21381 5.021491 5.42 0.000 17.36655 37.06107 + 1408 | 2.100024 5.855719 0.36 0.720 -9.383171 13.58322 + 1409 | 20.43211 5.778541 3.54 0.000 9.100263 31.76396 + 1410 | 15.7469 4.112432 3.83 0.000 7.68233 23.81147 + 1499 | 11.05712 6.475655 1.71 0.088 -1.641779 23.75603 + 1500 | 7.394288 4.0481 1.83 0.068 -.5441257 15.3327 + 1501 | 12.01773 3.097747 3.88 0.000 5.942979 18.09248 + 1502 | 9.010036 3.066126 2.94 0.003 2.997295 15.02278 + 1504 | 12.75589 3.41726 3.73 0.000 6.054571 19.45721 + 1505 | 19.71668 3.795033 5.20 0.000 12.27454 27.15882 + 1507 | 13.56086 3.864275 3.51 0.000 5.982931 21.13879 + 1520 | 9.338422 3.578043 2.61 0.009 2.3218 16.35504 + 1521 | 8.528239 3.10913 2.74 0.006 2.431166 14.62531 + 1522 | 21.72184 3.589502 6.05 0.000 14.68275 28.76094 + 1523 | 11.35003 3.168918 3.58 0.000 5.135711 17.56435 + 1524 | 18.83249 6.233624 3.02 0.003 6.608217 31.05677 + 1525 | 10.24926 3.528841 2.90 0.004 3.329126 17.1694 + 1526 | 20.4765 3.78882 5.40 0.000 13.04654 27.90646 + 1599 | 13.05062 3.907323 3.34 0.001 5.388276 20.71297 + 1600 | 10.67258 3.901526 2.74 0.006 3.021605 18.32356 + 1602 | 4.555768 6.200933 0.73 0.463 -7.604398 16.71593 + 1603 | 6.609126 4.521372 1.46 0.144 -2.257384 15.47564 + 1604 | 10.53028 4.839102 2.18 0.030 1.040695 20.01987 + 1605 | 8.493275 4.855132 1.75 0.080 -1.027746 18.0143 + 1606 | 17.71396 5.87815 3.01 0.003 6.186779 29.24114 + 1608 | 15.93755 3.059374 5.21 0.000 9.938056 21.93705 + 1609 | 19.83151 3.117255 6.36 0.000 13.7185 25.94452 + 1610 | 11.84619 5.88504 2.01 0.044 .3054953 23.38688 + 1611 | 9.539685 3.878994 2.46 0.014 1.932891 17.14648 + 1612 | 15.77779 3.904966 4.04 0.000 8.120063 23.43551 + 1614 | 6.512903 7.1048 0.92 0.359 -7.419767 20.44557 + 1615 | 11.34204 3.54132 3.20 0.001 4.397433 18.28665 + 1616 | 7.249024 3.70165 1.96 0.050 -.0099937 14.50804 + 1617 | 12.58975 5.65629 2.23 0.026 1.497645 23.68186 + 1619 | 8.076443 4.786972 1.69 0.092 -1.310916 17.4638 + 1620 | 18.65111 6.835647 2.73 0.006 5.246258 32.05597 + 1698 | 11.36566 6.800738 1.67 0.095 -1.970742 24.70205 + 1699 | 17.36384 3.75766 4.62 0.000 9.994985 24.73269 + 1700 | 8.483828 5.33774 1.59 0.112 -1.983599 18.95126 + 1701 | 11.37748 4.567779 2.49 0.013 2.419965 20.33499 + 1704 | 13.4401 5.029607 2.67 0.008 3.576933 23.30327 + 1705 | 3.030906 7.983703 0.38 0.704 -12.62531 18.68712 + 1706 | 13.07094 3.513604 3.72 0.000 6.180688 19.9612 + 1707 | 11.84658 3.620374 3.27 0.001 4.746946 18.94621 + 1708 | 15.85644 4.925306 3.22 0.001 6.197808 25.51508 + 1709 | 18.09338 3.562476 5.08 0.000 11.10729 25.07948 + 1798 | 15.75824 4.484989 3.51 0.000 6.963074 24.5534 + 1799 | 4.513359 8.829906 0.51 0.609 -12.80228 21.829 + 1800 | 8.113581 3.854983 2.10 0.035 .5538748 15.67329 + 1802 | 15.4265 3.47021 4.45 0.000 8.621345 22.23166 + 1803 | 7.989428 3.76437 2.12 0.034 .607414 15.37144 + 1804 | 12.96834 4.482891 2.89 0.004 4.177296 21.75939 + 1806 | 4.193783 4.278888 0.98 0.327 -4.197211 12.58478 + 1807 | -3.167446 2.781342 -1.14 0.255 -8.621719 2.286827 + 1808 | -1.094485 4.20301 -0.26 0.795 -9.336679 7.14771 + 1899 | -3.210679 8.570566 -0.37 0.708 -20.01775 13.59639 + 1900 | 8.940818 4.270151 2.09 0.036 .5669565 17.31468 + 1901 | 8.772531 3.577823 2.45 0.014 1.75634 15.78872 + 1902 | 18.69389 5.185711 3.60 0.000 8.524599 28.86319 + 1905 | 27.24022 7.251042 3.76 0.000 13.02076 41.45967 + 1906 | 9.975173 4.312245 2.31 0.021 1.518764 18.43158 + 1907 | 21.486 5.6374 3.81 0.000 10.43094 32.54107 + 1908 | 16.16222 7.614234 2.12 0.034 1.230539 31.0939 + 1909 | 32.08549 7.752756 4.14 0.000 16.88217 47.28882 + 1910 | 20.52756 9.553677 2.15 0.032 1.792589 39.26254 + 1911 | 18.64184 9.735123 1.91 0.056 -.448958 37.73263 + 1912 | -8.267289 3.205021 -2.58 0.010 -14.55241 -1.982172 + 1914 | 16.17309 5.402796 2.99 0.003 5.578085 26.76809 + 1915 | 15.89365 9.536772 1.67 0.096 -2.808167 34.59547 + 1919 | 14.40642 4.469108 3.22 0.001 5.642402 23.17044 + 1920 | 8.453016 4.085304 2.07 0.039 .4416437 16.46439 + 1925 | 22.02318 4.886817 4.51 0.000 12.44002 31.60634 + 1926 | .8979338 3.83172 0.23 0.815 -6.616155 8.412022 + 1927 | 5.664796 3.48467 1.63 0.104 -1.168719 12.49831 + 1929 | 8.89752 3.925433 2.27 0.024 1.199658 16.59538 + 1999 | 13.32337 13.12621 1.02 0.310 -12.41742 39.06416 + 2000 | 5.278611 3.003523 1.76 0.079 -.6113631 11.16859 + 2001 | 7.488155 3.320181 2.26 0.024 .9772062 13.9991 + 2002 | 5.939912 2.976564 2.00 0.046 .1028045 11.77702 + 2003 | 11.69236 3.568947 3.28 0.001 4.693576 18.69114 + 2004 | 14.0819 3.020725 4.66 0.000 8.158189 20.00561 + 2005 | 5.929894 6.159529 0.96 0.336 -6.149079 18.00887 + 2006 | 26.39322 3.243798 8.14 0.000 20.03206 32.75438 + 2007 | 1.961766 3.475124 0.56 0.572 -4.85303 8.776562 + 2008 | 21.54902 2.922514 7.37 0.000 15.81791 27.28014 + 2009 | 3.22534 3.93225 0.82 0.412 -4.485889 10.93657 + 2011 | 4.762311 2.893937 1.65 0.100 -.9127629 10.43738 + 2012 | 3.09525 2.924275 1.06 0.290 -2.639318 8.829818 + 2013 | 3.178716 5.047251 0.63 0.529 -6.719056 13.07649 + 2014 | 5.75058 4.037048 1.42 0.154 -2.166162 13.66732 + 2015 | 14.27607 5.288862 2.70 0.007 3.904496 24.64765 + 2030 | 6.273056 4.663323 1.35 0.179 -2.871824 15.41794 + 2099 | 10.93874 4.620604 2.37 0.018 1.877631 19.99984 + 2100 | 2.669563 3.363448 0.79 0.427 -3.926233 9.265359 + 2101 | 17.53583 2.935689 5.97 0.000 11.77888 23.29279 + 2102 | 15.12906 3.135534 4.83 0.000 8.980212 21.27791 + 2103 | 6.990385 2.908549 2.40 0.016 1.286657 12.69411 + 2104 | 9.195961 2.976884 3.09 0.002 3.358224 15.0337 + 2105 | 17.70819 5.14894 3.44 0.001 7.611008 27.80538 + 2199 | 3.227655 8.376895 0.39 0.700 -13.19962 19.65493 + 9999 | 3.738429 4.043329 0.92 0.355 -4.19063 11.66749 + | + house_administration | -4.062627 1.176231 -3.45 0.001 -6.369241 -1.756012 + house_agriculture | 3.027158 .9642626 3.14 0.002 1.136218 4.918099 + house_appropriations | -11.42445 1.472922 -7.76 0.000 -14.31289 -8.536021 + house_armedservices | .5296384 .9475404 0.56 0.576 -1.328509 2.387786 + house_budget | -.8958163 1.254158 -0.71 0.475 -3.355249 1.563616 + house_dc | 3.537297 4.900397 0.72 0.470 -6.072489 13.14708 + house_educlabor | -.3986258 .858478 -0.46 0.642 -2.08212 1.284869 + house_energycommerce | 3.624168 .6035164 6.01 0.000 2.440659 4.807677 + house_foreignaffairs | 3.784825 1.983094 1.91 0.056 -.104067 7.673717 + house_governmentop | -1.03119 1.233458 -0.84 0.403 -3.450029 1.387649 + house_intelligence | -5.085372 3.14822 -1.62 0.106 -11.2591 1.088357 + house_interior | 1.083845 1.643067 0.66 0.510 -2.138245 4.305935 + house_judiciary | -2.486984 .5613189 -4.43 0.000 -3.587743 -1.386226 + house_mmf | 1.916168 2.037073 0.94 0.347 -2.078578 5.910914 + house_pocs | 2.767 1.596997 1.73 0.083 -.3647472 5.898747 + house_pwt | .3351957 1.56519 0.21 0.830 -2.734177 3.404568 + house_rules | -3.545935 .9340567 -3.80 0.000 -5.377641 -1.714229 + house_sst | 4.252023 3.662536 1.16 0.246 -2.930293 11.43434 + house_smallbusi | 5.386098 3.055511 1.76 0.078 -.6058274 11.37802 + house_soc | 3.984451 6.495697 0.61 0.540 -8.753756 16.72266 + house_veterans | 4.578684 1.284524 3.56 0.000 2.059704 7.097665 + house_waysandmeans | -1.802305 .5382154 -3.35 0.001 -2.857757 -.7468526 +house_naturalresources | 1.761417 1.325233 1.33 0.184 -.8373938 4.360228 + house_bfs | -.7558864 .8572084 -0.88 0.378 -2.436891 .9251182 + house_eeo | -5.195223 1.698343 -3.06 0.002 -8.525711 -1.864735 + house_govreform | 1.002567 .8554332 1.17 0.241 -.6749565 2.68009 + house_ir | 3.367251 1.382513 2.44 0.015 .6561126 6.07839 + house_natsecur | -.7111679 1.958182 -0.36 0.717 -4.551206 3.128871 + house_oversight | .7286448 1.142742 0.64 0.524 -1.512297 2.969587 + house_resources | -5.902822 .9189173 -6.42 0.000 -7.704839 -4.100804 + house_science | 3.366186 1.587208 2.12 0.034 .2536369 6.478735 + house_transp | 2.186377 1.01933 2.14 0.032 .1874485 4.185305 + house_homeland | -1.917371 1.71903 -1.12 0.265 -5.288427 1.453684 + sponsor_democrat | 0 (omitted) + sponsor_rookie | -3.080179 .6909545 -4.46 0.000 -4.435156 -1.725202 + sponsor_tenure_run | .1659489 .092626 1.79 0.073 -.0156929 .3475906 + sponsor_age | .0234833 .0279841 0.84 0.401 -.0313943 .0783608 + leader | -1.408896 .7043904 -2.00 0.046 -2.790221 -.0275705 + ivycoll | .2360847 .8407122 0.28 0.779 -1.412571 1.88474 + black | -3.71617 3.320777 -1.12 0.263 -10.22829 2.795947 + occ0 | 4.09362 .7752917 5.28 0.000 2.573255 5.613984 + occ1 | 2.740209 1.010764 2.71 0.007 .7580789 4.72234 + occ2 | 3.093706 .6658374 4.65 0.000 1.787984 4.399428 + occ3 | -1.674247 .9204505 -1.82 0.069 -3.479271 .1307773 + occ4 | 2.123981 .6401023 3.32 0.001 .8687266 3.379236 + borninstate | .6539733 .4712265 1.39 0.165 -.2701124 1.578059 + tot_bills | -.04292 .0231261 -1.86 0.064 -.0882707 .0024307 + NE | 3.46546 .7765353 4.46 0.000 1.942657 4.988263 + MW | 1.320487 .6102333 2.16 0.031 .1238063 2.517169 + WE | -.7970698 .7438229 -1.07 0.284 -2.255723 .6615835 + pct_black | 3.725997 3.058618 1.22 0.223 -2.27202 9.724015 + pct_urban | 1.628623 1.69482 0.96 0.337 -1.694957 4.952203 + pct_for_born | 8.143363 4.750771 1.71 0.087 -1.173003 17.45973 + pct_age_over65 | 32.49849 6.062839 5.36 0.000 20.60913 44.38786 + lninc | 4.972446 1.732746 2.87 0.004 1.574492 8.3704 + lnpden | -.0194046 .2694041 -0.07 0.943 -.547712 .5089028 + _cons | -53.18362 17.10006 -3.11 0.002 -86.71722 -19.65003 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,244 1 0 1 1 + + +j = 2 k = 1 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11989 +----------------------+---------------------- NN matches = 3 + Number of obs | 6150 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 15.71586 27.17455 .5783301 +---------------------------------------------- +reg pct_cosponsors_opposite sponsor_female i.v2 MV1_female femaleXMV1_female if tag_bill==1 & sample==1 & abs(MV1_female)<=15.7158579658341, robust cluster(group_sp +> onsor) + +Linear regression Number of obs = 2,781 + F(13, 231) = 0.89 + Prob > F = 0.5634 + R-squared = 0.0129 + Root MSE = 21.478 + + (Std. Err. adjusted for 232 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust +pct_cosponsors_~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .8220048 3.87578 0.21 0.832 -6.814393 8.458402 + | + v2 | + 102 | -1.183638 5.560583 -0.21 0.832 -12.13958 9.772304 + 103 | -5.903979 3.336472 -1.77 0.078 -12.47778 .6698276 + 104 | -5.849216 3.738339 -1.56 0.119 -13.21482 1.516384 + 105 | -6.290774 3.398939 -1.85 0.065 -12.98766 .4061104 + 106 | -2.505166 3.596228 -0.70 0.487 -9.590766 4.580433 + 107 | .7357417 4.664111 0.16 0.875 -8.453894 9.925378 + 108 | .2012478 5.614519 0.04 0.971 -10.86096 11.26346 + 109 | -4.696037 3.748359 -1.25 0.212 -12.08138 2.689305 + 110 | -5.184019 3.601525 -1.44 0.151 -12.28006 1.912017 + 111 | -3.75823 3.902928 -0.96 0.337 -11.44812 3.931658 + | + MV1_female | .0120396 .1843761 0.07 0.948 -.3512341 .3753133 +femaleXMV1_female | -.1181868 .3574032 -0.33 0.741 -.8223735 .586 + _cons | 18.77265 3.491133 5.38 0.000 11.89411 25.65118 +----------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 232 1 0 1 1 + + +j = 2 k = 2 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6186 +----------------------+---------------------- NN matches = 3 + Number of obs | 2192 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 24.47749 44.63704 .5483673 +---------------------------------------------- +reg pct_cosponsors_opposite sponsor_female i.v2 MV1_female femaleXMV1_female if sponsor_party==100 & tag_bill==1 & sample==1 & abs(MV1_female)<=24.4774946850318, ro +> bust cluster(group_sponsor) + +Linear regression Number of obs = 1,978 + F(13, 166) = 1.03 + Prob > F = 0.4279 + R-squared = 0.0121 + Root MSE = 17.457 + + (Std. Err. adjusted for 167 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust +pct_cosponsors_~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -3.350581 1.909607 -1.75 0.081 -7.120829 .4196677 + | + v2 | + 102 | -4.587888 2.485153 -1.85 0.067 -9.494469 .3186927 + 103 | -2.668096 2.435261 -1.10 0.275 -7.476172 2.139981 + 104 | -3.993863 2.807009 -1.42 0.157 -9.535904 1.548178 + 105 | -2.895445 2.664527 -1.09 0.279 -8.156175 2.365284 + 106 | -3.487764 2.632106 -1.33 0.187 -8.684483 1.708956 + 107 | -3.415135 2.36925 -1.44 0.151 -8.092882 1.262612 + 108 | -4.923003 2.414051 -2.04 0.043 -9.689204 -.1568029 + 109 | -7.768203 2.786215 -2.79 0.006 -13.26919 -2.267217 + 110 | -4.381776 2.627157 -1.67 0.097 -9.568724 .8051732 + 111 | -1.114985 3.030455 -0.37 0.713 -7.098187 4.868216 + | + MV1_female | .0859551 .095246 0.90 0.368 -.1020945 .2740048 +femaleXMV1_female | .1005581 .1421847 0.71 0.480 -.1801655 .3812816 + _cons | 16.18811 2.587561 6.26 0.000 11.07933 21.29688 +----------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 167 1 0 1 1 + + +j = 2 k = 3 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 11.12081 18.1168 .6138395 +---------------------------------------------- +reg pct_cosponsors_opposite sponsor_female i.v2 MV1_female femaleXMV1_female if sponsor_party==200 & tag_bill==1 & sample==1 & abs(MV1_female)<=11.12080711935041, r +> obust cluster(group_sponsor) + +Linear regression Number of obs = 1,043 + F(13, 87) = 3.07 + Prob > F = 0.0009 + R-squared = 0.0712 + Root MSE = 23.637 + + (Std. Err. adjusted for 88 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust +pct_cosponsors_~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | 12.51439 6.672828 1.88 0.064 -.7485749 25.77736 + | + v2 | + 102 | 2.427618 5.875074 0.41 0.680 -9.249729 14.10496 + 103 | -6.441278 3.783575 -1.70 0.092 -13.96154 1.078988 + 104 | -9.036945 4.052727 -2.23 0.028 -17.09218 -.9817101 + 105 | -10.2141 3.977084 -2.57 0.012 -18.11899 -2.30922 + 106 | -1.784013 3.651275 -0.49 0.626 -9.041318 5.473292 + 107 | 5.668178 4.864391 1.17 0.247 -4.000326 15.33668 + 108 | 10.41354 5.227669 1.99 0.050 .0229863 20.8041 + 109 | -6.960269 4.158293 -1.67 0.098 -15.22533 1.304789 + 110 | -7.807945 4.431834 -1.76 0.082 -16.61669 1.000805 + 111 | -7.30582 6.671175 -1.10 0.276 -20.5655 5.953863 + | + MV1_female | -.2156382 .4111992 -0.52 0.601 -1.032941 .6016647 +femaleXMV1_female | -.7752586 .9506656 -0.82 0.417 -2.664809 1.114292 + _cons | 19.29217 3.829983 5.04 0.000 11.67966 26.90467 +----------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 88 1 0 1 1 + + +j = 3 k = 1 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11989 +----------------------+---------------------- NN matches = 3 + Number of obs | 6150 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 15.71586 27.17455 .5783301 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(50,601 missing values generated) +(56,627 missing values generated) +(6,026 real changes made) +reg pct_cosponsors_opposite sponsor_female i.v2 MV1_female femaleXMV1_female i.minor house_* [aw=wt] if tag_bill==1 & sample==1 & abs(MV1_female)<=15.7158579658341, +> robust cluster(group_sponsor) +(sum of wgt is 5,584.21281862259) +note: house_dc omitted because of collinearity + +Linear regression Number of obs = 2,781 + F(225, 231) = . + Prob > F = . + R-squared = 0.1928 + Root MSE = 20.922 + + (Std. Err. adjusted for 232 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 1.883856 3.071034 0.61 0.540 -4.166962 7.934673 + | + v2 | + 102 | -.0144491 5.931378 -0.00 0.998 -11.70096 11.67207 + 103 | -7.380929 2.863815 -2.58 0.011 -13.02347 -1.738393 + 104 | -5.678179 3.440622 -1.65 0.100 -12.45719 1.100834 + 105 | -7.259016 2.809116 -2.58 0.010 -12.79378 -1.724251 + 106 | -3.551274 2.906784 -1.22 0.223 -9.278471 2.175923 + 107 | 1.380731 4.170371 0.33 0.741 -6.836096 9.597558 + 108 | 1.205404 6.494858 0.19 0.853 -11.59133 14.00214 + 109 | -4.176594 2.916181 -1.43 0.153 -9.922307 1.569119 + 110 | -4.555406 2.741265 -1.66 0.098 -9.956483 .8456707 + 111 | -5.647454 3.771323 -1.50 0.136 -13.07804 1.783134 + | + MV1_female | -.1896781 .1872592 -1.01 0.312 -.5586323 .1792761 + femaleXMV1_female | -.0232611 .312544 -0.07 0.941 -.6390624 .5925403 + | + minor | + 101 | 24.78655 18.93829 1.31 0.192 -12.5273 62.1004 + 103 | 3.547826 9.273745 0.38 0.702 -14.72411 21.81976 + 104 | 6.983263 14.068 0.50 0.620 -20.73473 34.70126 + 105 | 14.32624 11.23051 1.28 0.203 -7.801082 36.45356 + 107 | 11.46828 10.18524 1.13 0.261 -8.599566 31.53612 + 108 | 3.593236 11.03615 0.33 0.745 -18.15114 25.33761 + 200 | 6.937135 10.61875 0.65 0.514 -13.98485 27.85912 + 202 | 68.92413 12.27273 5.62 0.000 44.74333 93.10493 + 204 | 6.533008 10.64667 0.61 0.540 -14.44398 27.50999 + 205 | 9.99908 12.77698 0.78 0.435 -15.17524 35.1734 + 206 | 7.669251 12.29151 0.62 0.533 -16.54855 31.88705 + 207 | 6.901262 10.37107 0.67 0.506 -13.53271 27.33524 + 208 | 6.937325 10.13533 0.68 0.494 -13.03219 26.90684 + 209 | 1.931413 10.44937 0.18 0.854 -18.65684 22.51966 + 300 | 22.59723 14.9534 1.51 0.132 -6.865262 52.05972 + 301 | 23.88828 12.16167 1.96 0.051 -.0736837 47.85025 + 302 | 20.46354 10.85675 1.88 0.061 -.9273658 41.85444 + 321 | 10.64509 11.73486 0.91 0.365 -12.47595 33.76613 + 322 | 25.54998 13.16405 1.94 0.053 -.3869667 51.48692 + 323 | 27.02414 14.23796 1.90 0.059 -1.028734 55.07701 + 324 | 4.008428 10.48336 0.38 0.703 -16.6468 24.66366 + 325 | 25.50507 12.48045 2.04 0.042 .9150077 50.09514 + 331 | 32.79755 12.13246 2.70 0.007 8.893121 56.70198 + 332 | 20.65867 12.49183 1.65 0.100 -3.953805 45.27115 + 333 | 30.76493 13.8479 2.22 0.027 3.480609 58.04926 + 334 | 27.88245 12.93201 2.16 0.032 2.402678 53.36222 + 335 | 8.721473 11.81027 0.74 0.461 -14.54815 31.9911 + 336 | 25.64597 11.85547 2.16 0.032 2.287299 49.00463 + 341 | 13.05209 14.12152 0.92 0.356 -14.77136 40.87554 + 342 | 22.96485 12.72769 1.80 0.072 -2.112345 48.04204 + 343 | 14.12687 11.15578 1.27 0.207 -7.853219 36.10697 + 344 | -10.52047 9.142939 -1.15 0.251 -28.53468 7.493745 + 398 | 29.27941 17.15504 1.71 0.089 -4.520933 63.07975 + 399 | 35.91594 18.07957 1.99 0.048 .2940012 71.53788 + 400 | 7.761016 11.96706 0.65 0.517 -15.81752 31.33955 + 401 | 21.47025 13.84847 1.55 0.122 -5.815203 48.7557 + 402 | 4.786707 12.05073 0.40 0.692 -18.95668 28.5301 + 403 | 15.14617 12.63106 1.20 0.232 -9.740637 40.03299 + 404 | 25.76613 11.53441 2.23 0.026 3.040034 48.49223 + 405 | 18.30335 17.19362 1.06 0.288 -15.57302 52.17971 + 498 | .7666446 10.29997 0.07 0.941 -19.52724 21.06053 + 499 | 20.21912 14.95263 1.35 0.178 -9.241851 49.6801 + 500 | -3.192105 9.499974 -0.34 0.737 -21.90978 15.52557 + 501 | -4.010009 9.195641 -0.44 0.663 -22.12806 14.10804 + 502 | 10.31863 11.32692 0.91 0.363 -11.99865 32.6359 + 503 | 16.02789 10.75236 1.49 0.137 -5.157335 37.21311 + 504 | -1.983112 10.70427 -0.19 0.853 -23.0736 19.10737 + 505 | -.1495514 9.691085 -0.02 0.988 -19.24377 18.94466 + 506 | -4.049201 9.593254 -0.42 0.673 -22.95066 14.85226 + 508 | 9.019958 10.67527 0.84 0.399 -12.01339 30.05331 + 530 | 17.4514 10.27648 1.70 0.091 -2.796218 37.69901 + 599 | 19.62249 10.70124 1.83 0.068 -1.462011 40.707 + 600 | 1.708749 11.0654 0.15 0.877 -20.09326 23.51076 + 601 | 18.57661 11.13368 1.67 0.097 -3.359931 40.51315 + 602 | 4.915568 9.609393 0.51 0.609 -14.01769 23.84883 + 603 | 2.809212 10.80425 0.26 0.795 -18.47826 24.09668 + 604 | -6.852401 9.42804 -0.73 0.468 -25.42834 11.72354 + 606 | 6.730313 11.43095 0.59 0.557 -15.79194 29.25257 + 607 | 5.478896 9.723311 0.56 0.574 -13.67881 24.63661 + 609 | 14.94265 13.52434 1.10 0.270 -11.70417 41.58947 + 698 | 4.450117 11.26979 0.39 0.693 -17.75461 26.65484 + 699 | 3.895372 9.388758 0.41 0.679 -14.60317 22.39392 + 700 | .1474264 10.459 0.01 0.989 -20.4598 20.75465 + 701 | 6.807066 11.3427 0.60 0.549 -15.54131 29.15544 + 703 | 16.74657 11.25536 1.49 0.138 -5.429706 38.92285 + 704 | 12.85606 11.7652 1.09 0.276 -10.32477 36.03688 + 705 | 19.36809 12.63758 1.53 0.127 -5.531572 44.26775 + 707 | 19.5648 14.08711 1.39 0.166 -8.19084 47.32045 + 708 | -4.527609 9.534094 -0.47 0.635 -23.31251 14.25729 + 709 | 16.47089 9.843776 1.67 0.096 -2.924169 35.86595 + 710 | 27.69359 10.89433 2.54 0.012 6.22864 49.15854 + 711 | 6.664013 16.96065 0.39 0.695 -26.75332 40.08135 + 798 | 10.43089 10.65958 0.98 0.329 -10.57155 31.43332 + 799 | -5.098901 8.394025 -0.61 0.544 -21.63754 11.43973 + 800 | 9.383909 11.45348 0.82 0.413 -13.18273 31.95055 + 801 | 22.30969 11.15772 2.00 0.047 .3257788 44.2936 + 802 | 6.872071 11.7001 0.59 0.558 -16.18047 29.92462 + 803 | 15.92338 11.35163 1.40 0.162 -6.442577 38.28934 + 805 | -.2757159 10.3901 -0.03 0.979 -20.74719 20.19576 + 806 | 12.64876 9.465852 1.34 0.183 -6.001678 31.29921 + 807 | 5.172164 10.38293 0.50 0.619 -15.28519 25.62951 + 898 | 2.052159 13.17323 0.16 0.876 -23.90289 28.0072 + 899 | -.1265999 9.04433 -0.01 0.989 -17.94652 17.69332 + 1000 | 50.54556 11.05029 4.57 0.000 28.77332 72.31779 + 1001 | 15.27259 12.10108 1.26 0.208 -8.570001 39.11517 + 1002 | 10.4309 12.58768 0.83 0.408 -14.37044 35.23225 + 1003 | 19.82774 10.9621 1.81 0.072 -1.770743 41.42623 + 1005 | 39.92389 10.39302 3.84 0.000 19.44667 60.40111 + 1006 | 17.05401 11.27797 1.51 0.132 -5.166822 39.27484 + 1007 | 9.151679 9.726617 0.94 0.348 -10.01254 28.3159 + 1010 | 19.57255 18.39689 1.06 0.288 -16.6746 55.8197 + 1200 | -2.892101 11.82052 -0.24 0.807 -26.18191 20.3977 + 1201 | 31.46475 14.72638 2.14 0.034 2.449559 60.47994 + 1202 | 2.829543 11.07482 0.26 0.799 -18.99103 24.65012 + 1203 | 19.3235 12.75404 1.52 0.131 -5.805618 44.45262 + 1204 | 20.48274 12.00875 1.71 0.089 -3.177951 44.14342 + 1205 | 23.43115 12.58634 1.86 0.064 -1.367556 48.22986 + 1206 | 8.179901 11.52519 0.71 0.479 -14.52803 30.88783 + 1207 | 30.96063 9.070318 3.41 0.001 13.0895 48.83175 + 1208 | 14.49784 11.52246 1.26 0.210 -8.204711 37.20039 + 1209 | 15.68401 10.41236 1.51 0.133 -4.831337 36.19935 + 1210 | 18.56379 11.74573 1.58 0.115 -4.578676 41.70625 + 1211 | 10.62817 12.58967 0.84 0.399 -14.17709 35.43342 + 1299 | 50.0047 10.54497 4.74 0.000 29.22809 70.78132 + 1300 | 4.937831 11.95874 0.41 0.680 -18.62432 28.49998 + 1301 | 6.222859 11.76531 0.53 0.597 -16.95817 29.40388 + 1302 | 24.58297 26.79272 0.92 0.360 -28.20637 77.37231 + 1303 | 29.02033 16.24577 1.79 0.075 -2.988492 61.02915 + 1304 | 29.8018 14.19312 2.10 0.037 1.837293 57.76631 + 1305 | -4.134124 10.90389 -0.38 0.705 -25.61792 17.34967 + 1399 | 6.826819 11.44689 0.60 0.551 -15.72683 29.38047 + 1400 | 26.96581 13.84362 1.95 0.053 -.3100933 54.24172 + 1401 | 1.679206 10.81857 0.16 0.877 -19.63648 22.99489 + 1403 | 1.209904 8.902256 0.14 0.892 -16.33009 18.7499 + 1404 | 26.07542 25.22037 1.03 0.302 -23.61594 75.76678 + 1405 | 31.47581 14.77423 2.13 0.034 2.366341 60.58529 + 1406 | 22.50634 13.33222 1.69 0.093 -3.761951 48.77464 + 1407 | 17.48803 13.92135 1.26 0.210 -9.941013 44.91707 + 1408 | 1.760934 10.32721 0.17 0.865 -18.58662 22.10849 + 1409 | 8.610803 12.8656 0.67 0.504 -16.73811 33.95972 + 1410 | 21.56404 13.41128 1.61 0.109 -4.860033 47.98812 + 1499 | -.2120298 9.695158 -0.02 0.983 -19.31427 18.89021 + 1500 | 24.03772 16.75464 1.43 0.153 -8.973732 57.04917 + 1501 | 18.43553 9.780812 1.88 0.061 -.835473 37.70653 + 1502 | 10.56359 11.2511 0.94 0.349 -11.6043 32.73149 + 1504 | 11.08057 11.03352 1.00 0.316 -10.65863 32.81978 + 1505 | 31.0036 13.33477 2.33 0.021 4.730274 57.27692 + 1507 | 2.11591 11.01964 0.19 0.848 -19.59594 23.82776 + 1520 | 9.318202 12.03721 0.77 0.440 -14.39856 33.03496 + 1521 | 11.02128 10.40123 1.06 0.290 -9.472133 31.51469 + 1522 | 29.19921 10.90389 2.68 0.008 7.715411 50.683 + 1523 | 12.60337 10.88716 1.16 0.248 -8.847462 34.0542 + 1524 | 46.90853 11.09903 4.23 0.000 25.04025 68.7768 + 1525 | 7.887652 10.44276 0.76 0.451 -12.68757 28.46288 + 1526 | 16.17736 12.73041 1.27 0.205 -8.905184 41.25991 + 1599 | 28.66978 16.3706 1.75 0.081 -3.584996 60.92456 + 1600 | 3.878029 10.31285 0.38 0.707 -16.44125 24.19731 + 1603 | -29.39547 15.17174 -1.94 0.054 -59.28814 .4971939 + 1604 | 9.136554 12.50619 0.73 0.466 -15.50422 33.77733 + 1605 | -1.904215 10.72504 -0.18 0.859 -23.03561 19.22718 + 1606 | 8.149338 10.79776 0.75 0.451 -13.12534 29.42401 + 1608 | 13.98033 10.9772 1.27 0.204 -7.647904 35.60856 + 1609 | 21.00037 11.09572 1.89 0.060 -.8613809 42.86213 + 1610 | 4.78029 11.09331 0.43 0.667 -17.07672 26.6373 + 1611 | 1.046705 11.93663 0.09 0.930 -22.47188 24.56529 + 1612 | 10.9195 13.44147 0.81 0.417 -15.56404 37.40304 + 1614 | 3.213746 11.17746 0.29 0.774 -18.80905 25.23654 + 1615 | 13.57538 11.35818 1.20 0.233 -8.803489 35.95424 + 1616 | 12.94487 8.743279 1.48 0.140 -4.281896 30.17163 + 1617 | 34.06567 11.5174 2.96 0.003 11.37309 56.75825 + 1619 | 13.95743 12.08846 1.15 0.249 -9.860312 37.77516 + 1620 | 14.91058 13.38955 1.11 0.267 -11.47066 41.29182 + 1698 | 5.421019 9.522105 0.57 0.570 -13.34026 24.1823 + 1699 | 10.68473 11.36034 0.94 0.348 -11.69839 33.06785 + 1700 | 5.921437 13.6606 0.43 0.665 -20.99385 32.83673 + 1701 | 16.32383 18.57644 0.88 0.380 -20.27708 52.92474 + 1704 | 2.979347 10.3347 0.29 0.773 -17.38297 23.34166 + 1706 | 18.58373 13.60768 1.37 0.173 -8.227303 45.39475 + 1707 | 21.59904 13.25859 1.63 0.105 -4.524188 47.72226 + 1708 | -.9407229 13.85349 -0.07 0.946 -28.23607 26.35462 + 1709 | 19.3768 11.61032 1.67 0.096 -3.498852 42.25246 + 1798 | 21.72077 15.12455 1.44 0.152 -8.078927 51.52046 + 1799 | -10.85012 11.10169 -0.98 0.329 -32.72362 11.02339 + 1800 | 21.29877 14.66234 1.45 0.148 -7.590244 50.18779 + 1802 | 20.13272 11.79987 1.71 0.089 -3.116405 43.38185 + 1803 | -2.802519 10.77397 -0.26 0.795 -24.03032 18.42529 + 1804 | 23.24403 21.00413 1.11 0.270 -18.14012 64.62818 + 1806 | 36.37209 12.50163 2.91 0.004 11.7403 61.00388 + 1807 | 3.156256 10.61335 0.30 0.766 -17.75508 24.0676 + 1808 | .7535087 10.28057 0.07 0.942 -19.50215 21.00917 + 1900 | 21.05237 21.60182 0.97 0.331 -21.50941 63.61415 + 1901 | 8.833579 12.53704 0.70 0.482 -15.86798 33.53514 + 1902 | 13.60675 9.830611 1.38 0.168 -5.76237 32.97587 + 1905 | 22.84567 16.46259 1.39 0.167 -9.590355 55.28169 + 1906 | 65.78502 11.87143 5.54 0.000 42.39489 89.17514 + 1907 | 14.12483 13.95864 1.01 0.313 -13.37769 41.62736 + 1909 | 64.11566 11.99928 5.34 0.000 40.47364 87.75768 + 1910 | 10.3018 10.50383 0.98 0.328 -10.39376 30.99736 + 1914 | -7.252607 10.29028 -0.70 0.482 -27.52742 13.0222 + 1915 | 7.312983 11.40166 0.64 0.522 -15.15155 29.77752 + 1919 | 6.965344 12.66498 0.55 0.583 -17.98829 31.91898 + 1920 | 15.44318 12.84186 1.20 0.230 -9.85897 40.74532 + 1925 | 40.75834 14.35827 2.84 0.005 12.46843 69.04825 + 1926 | 15.70921 13.50988 1.16 0.246 -10.90913 42.32755 + 1927 | 11.16226 13.72057 0.81 0.417 -15.8712 38.19571 + 1929 | 11.41094 13.23092 0.86 0.389 -14.65777 37.47964 + 2000 | 17.25465 12.19109 1.42 0.158 -6.765292 41.2746 + 2001 | 25.64656 16.25259 1.58 0.116 -6.3757 57.66883 + 2002 | 8.072431 10.38475 0.78 0.438 -12.38851 28.53337 + 2003 | 33.75603 11.40618 2.96 0.003 11.28259 56.22947 + 2004 | 20.81074 10.56763 1.97 0.050 -.0105277 41.63201 + 2005 | -4.359585 11.8544 -0.37 0.713 -27.71615 18.99698 + 2006 | 26.54222 12.22536 2.17 0.031 2.454754 50.62969 + 2007 | -1.818554 9.525129 -0.19 0.849 -20.58579 16.94868 + 2008 | 18.53321 10.30582 1.80 0.073 -1.772216 38.83864 + 2009 | 14.16414 10.69758 1.32 0.187 -6.913157 35.24144 + 2011 | 11.87211 10.07907 1.18 0.240 -7.986537 31.73076 + 2012 | 9.029114 10.39972 0.87 0.386 -11.46132 29.51955 + 2013 | 8.51561 12.85336 0.66 0.508 -16.80919 33.84041 + 2014 | 3.280299 12.32029 0.27 0.790 -20.9942 27.5548 + 2015 | 64.77795 11.40817 5.68 0.000 42.30058 87.25531 + 2030 | 21.48538 11.57816 1.86 0.065 -1.326917 44.29767 + 2099 | 58.84888 9.63208 6.11 0.000 39.87092 77.82684 + 2100 | 7.158705 11.68812 0.61 0.541 -15.87025 30.18766 + 2101 | 12.90703 10.19554 1.27 0.207 -7.181105 32.99517 + 2102 | 11.83162 12.31383 0.96 0.338 -12.43015 36.09339 + 2103 | 8.461999 10.95858 0.77 0.441 -13.12955 30.05355 + 2104 | 12.40902 11.0389 1.12 0.262 -9.340783 34.15883 + 2105 | 14.62199 19.73434 0.74 0.459 -24.26032 53.5043 + 9999 | 15.85016 15.11001 1.05 0.295 -13.9209 45.62121 + | + house_administration | -6.020671 3.306207 -1.82 0.070 -12.53485 .4935053 + house_agriculture | 5.414845 2.815435 1.92 0.056 -.1323681 10.96206 + house_appropriations | -3.278394 4.048989 -0.81 0.419 -11.25606 4.699275 + house_armedservices | -2.416123 2.945466 -0.82 0.413 -8.219536 3.38729 + house_budget | -7.712617 5.619036 -1.37 0.171 -18.78373 3.358496 + house_dc | 0 (omitted) + house_educlabor | 4.215849 3.496922 1.21 0.229 -2.674089 11.10579 + house_energycommerce | -3.013415 2.276318 -1.32 0.187 -7.498413 1.471584 + house_foreignaffairs | 2.537854 3.937345 0.64 0.520 -5.219845 10.29555 + house_governmentop | -8.115043 3.582093 -2.27 0.024 -15.17279 -1.057294 + house_intelligence | 28.85861 11.37118 2.54 0.012 6.454118 51.2631 + house_interior | -.7404083 4.776185 -0.16 0.877 -10.15086 8.670044 + house_judiciary | -3.178384 1.667869 -1.91 0.058 -6.464564 .1077956 + house_mmf | -4.039978 4.447408 -0.91 0.365 -12.80265 4.72269 + house_pocs | -8.852285 3.430748 -2.58 0.010 -15.61184 -2.092728 + house_pwt | 1.871706 4.528887 0.41 0.680 -7.051499 10.79491 + house_rules | .5734392 4.552318 0.13 0.900 -8.395932 9.542811 + house_sst | 17.02279 7.816711 2.18 0.030 1.621633 32.42396 + house_smallbusi | -3.63732 5.406696 -0.67 0.502 -14.29006 7.01542 + house_soc | -6.572491 6.777645 -0.97 0.333 -19.92639 6.781412 + house_veterans | -3.81427 3.257138 -1.17 0.243 -10.23177 2.603226 + house_waysandmeans | -1.997941 2.007968 -1.00 0.321 -5.954212 1.958331 +house_naturalresources | 8.054648 3.352508 2.40 0.017 1.449246 14.66005 + house_bfs | -.2768425 2.538363 -0.11 0.913 -5.278145 4.72446 + house_eeo | 4.252655 4.21663 1.01 0.314 -4.055315 12.56062 + house_govreform | .8518909 2.693553 0.32 0.752 -4.455181 6.158963 + house_ir | 4.178772 3.330532 1.25 0.211 -2.38333 10.74087 + house_natsecur | 3.291478 4.499703 0.73 0.465 -5.574227 12.15718 + house_oversight | .9985945 3.331223 0.30 0.765 -5.56487 7.562059 + house_resources | -.5623363 2.88285 -0.20 0.846 -6.242377 5.117705 + house_science | 1.488492 3.916056 0.38 0.704 -6.227261 9.204244 + house_transp | -.9202844 2.627216 -0.35 0.726 -6.096654 4.256085 + house_homeland | -4.795582 4.823446 -0.99 0.321 -14.29915 4.707988 + _cons | 5.03911 10.36651 0.49 0.627 -15.38589 25.46411 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 232 1 0 1 1 + + +j = 3 k = 2 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6186 +----------------------+---------------------- NN matches = 3 + Number of obs | 2192 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 24.47749 44.63704 .5483673 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(56,209 missing values generated) +(58,378 missing values generated) +(2,169 real changes made) +reg pct_cosponsors_opposite sponsor_female i.v2 MV1_female femaleXMV1_female i.minor house_* [aw=wt] if sponsor_party==100 & tag_bill==1 & sample==1 & abs(MV1_femal +> e)<=24.4774946850318, robust cluster(group_sponsor) +(sum of wgt is 6,075.10665559769) + +Linear regression Number of obs = 1,978 + F(166, 166) = . + Prob > F = . + R-squared = 0.2010 + Root MSE = 15.397 + + (Std. Err. adjusted for 167 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -5.297341 2.000072 -2.65 0.009 -9.246198 -1.348484 + | + v2 | + 102 | -5.674385 2.473423 -2.29 0.023 -10.55781 -.7909633 + 103 | -1.903465 3.020392 -0.63 0.529 -7.866798 4.059869 + 104 | -2.765976 3.173286 -0.87 0.385 -9.031178 3.499225 + 105 | -4.462517 2.891623 -1.54 0.125 -10.17161 1.24658 + 106 | -5.987288 2.803112 -2.14 0.034 -11.52163 -.4529409 + 107 | -2.890742 2.577327 -1.12 0.264 -7.979307 2.197823 + 108 | -8.299358 2.665101 -3.11 0.002 -13.56122 -3.037494 + 109 | -7.240648 2.64553 -2.74 0.007 -12.46387 -2.017426 + 110 | -4.094704 2.995573 -1.37 0.173 -10.00904 1.819628 + 111 | -1.948314 3.344665 -0.58 0.561 -8.551879 4.655251 + | + MV1_female | .2598311 .0947135 2.74 0.007 .0728328 .4468293 + femaleXMV1_female | -.0773675 .1546051 -0.50 0.617 -.3826133 .2278783 + | + minor | + 104 | -8.336164 3.696729 -2.26 0.025 -15.63483 -1.037497 + 105 | 5.417743 7.372197 0.73 0.463 -9.137612 19.9731 + 107 | 3.069442 4.173409 0.74 0.463 -5.170361 11.30924 + 108 | -11.28481 2.820279 -4.00 0.000 -16.85305 -5.716572 + 200 | 5.888609 8.893536 0.66 0.509 -11.67041 23.44763 + 202 | 24.31196 16.01373 1.52 0.131 -7.304873 55.92879 + 205 | 8.119263 3.739218 2.17 0.031 .7367099 15.50182 + 206 | -12.22934 3.633466 -3.37 0.001 -19.4031 -5.055577 + 207 | -3.737813 3.576636 -1.05 0.298 -10.79937 3.323747 + 208 | -2.201009 3.349781 -0.66 0.512 -8.814674 4.412656 + 300 | 9.909292 8.066483 1.23 0.221 -6.016833 25.83542 + 301 | 12.56319 6.016023 2.09 0.038 .6854065 24.44097 + 302 | 2.792106 3.910527 0.71 0.476 -4.928674 10.51289 + 321 | 3.273362 5.095603 0.64 0.522 -6.787182 13.33391 + 322 | 3.385628 7.040607 0.48 0.631 -10.51505 17.28631 + 323 | 21.9465 10.30298 2.13 0.035 1.604727 42.28826 + 324 | 6.888544 3.28676 2.10 0.038 .3993036 13.37778 + 325 | 10.19543 6.628797 1.54 0.126 -2.892182 23.28305 + 331 | 15.18474 4.902124 3.10 0.002 5.506193 24.86329 + 332 | -1.801486 3.26271 -0.55 0.582 -8.243243 4.640271 + 333 | 1.9377 5.291029 0.37 0.715 -8.508684 12.38408 + 334 | 18.30276 7.372749 2.48 0.014 3.746315 32.8592 + 335 | 2.245668 4.768954 0.47 0.638 -7.169954 11.66129 + 336 | 5.685387 4.339081 1.31 0.192 -2.881512 14.25229 + 341 | 1.714637 3.441845 0.50 0.619 -5.080797 8.51007 + 342 | 17.43434 11.06625 1.58 0.117 -4.414391 39.28308 + 343 | 14.23074 7.072359 2.01 0.046 .2673722 28.1941 + 344 | -11.5249 3.367505 -3.42 0.001 -18.17356 -4.876236 + 398 | .7510531 3.704664 0.20 0.840 -6.56328 8.065386 + 399 | -1.344723 4.825215 -0.28 0.781 -10.87142 8.181979 + 400 | -9.124677 4.06648 -2.24 0.026 -17.15336 -1.095991 + 401 | 19.04688 11.16066 1.71 0.090 -2.988258 41.08202 + 402 | -3.266916 4.872099 -0.67 0.503 -12.88618 6.35235 + 403 | 9.23724 8.911417 1.04 0.301 -8.357085 26.83156 + 404 | 19.04185 8.606697 2.21 0.028 2.049152 36.03455 + 405 | 4.675362 12.23121 0.38 0.703 -19.47342 28.82415 + 498 | .3685607 8.852182 0.04 0.967 -17.10881 17.84594 + 499 | -27.92055 7.89862 -3.53 0.001 -43.51525 -12.32585 + 500 | -15.35256 5.420381 -2.83 0.005 -26.05433 -4.650787 + 501 | -7.214617 2.761312 -2.61 0.010 -12.66643 -1.7628 + 502 | 2.357184 4.22543 0.56 0.578 -5.985326 10.69969 + 503 | 1.310889 4.216941 0.31 0.756 -7.014862 9.63664 + 504 | -.2110111 5.947622 -0.04 0.972 -11.95375 11.53172 + 505 | -7.758232 3.604981 -2.15 0.033 -14.87575 -.6407111 + 506 | -6.876424 4.52863 -1.52 0.131 -15.81756 2.064711 + 508 | -5.009168 2.907238 -1.72 0.087 -10.7491 .7307589 + 530 | 7.137515 5.164173 1.38 0.169 -3.058411 17.33344 + 600 | -5.06159 5.970831 -0.85 0.398 -16.85015 6.726967 + 601 | 6.697617 4.766258 1.41 0.162 -2.712681 16.10792 + 602 | -5.254819 2.882864 -1.82 0.070 -10.94662 .4369867 + 603 | -2.0853 5.716232 -0.36 0.716 -13.37119 9.200588 + 604 | -9.39529 3.001477 -3.13 0.002 -15.32128 -3.469301 + 606 | .1597346 7.664739 0.02 0.983 -14.9732 15.29267 + 607 | -4.309335 3.197525 -1.35 0.180 -10.62239 2.003724 + 609 | -2.642593 3.498173 -0.76 0.451 -9.549238 4.264053 + 698 | -7.985616 5.889129 -1.36 0.177 -19.61286 3.641632 + 699 | -.5471814 4.461986 -0.12 0.903 -9.356738 8.262375 + 700 | 5.350517 9.960248 0.54 0.592 -14.31458 25.01561 + 701 | 19.42954 8.2192 2.36 0.019 3.201901 35.65718 + 703 | 1.075685 3.727646 0.29 0.773 -6.28402 8.435391 + 704 | 3.531791 4.925188 0.72 0.474 -6.192292 13.25587 + 705 | -.54701 6.611848 -0.08 0.934 -13.60116 12.50714 + 707 | 13.09071 11.01274 1.19 0.236 -8.652376 34.83379 + 708 | -3.973594 2.70772 -1.47 0.144 -9.319602 1.372414 + 709 | 8.443656 4.74079 1.78 0.077 -.9163596 17.80367 + 710 | 7.881079 7.104879 1.11 0.269 -6.146493 21.90865 + 711 | -4.717728 3.76994 -1.25 0.213 -12.16094 2.725482 + 798 | -9.113773 7.054385 -1.29 0.198 -23.04165 4.814108 + 799 | -7.631221 4.100971 -1.86 0.065 -15.72801 .4655636 + 800 | -9.184209 3.596859 -2.55 0.012 -16.2857 -2.082722 + 801 | 11.76149 4.13336 2.85 0.005 3.600762 19.92223 + 802 | 7.127031 8.988858 0.79 0.429 -10.62019 24.87425 + 803 | 4.074519 4.007098 1.02 0.311 -3.836925 11.98596 + 805 | 1.27487 3.936488 0.32 0.746 -6.497165 9.046905 + 806 | -2.153559 3.96517 -0.54 0.588 -9.982222 5.675104 + 807 | 1.903751 7.112477 0.27 0.789 -12.13882 15.94632 + 898 | -1.883331 14.38699 -0.13 0.896 -30.2884 26.52174 + 899 | .2160495 8.102757 0.03 0.979 -15.78169 16.21379 + 1000 | 36.49865 4.073111 8.96 0.000 28.45687 44.54043 + 1001 | 5.845083 7.504682 0.78 0.437 -8.971845 20.66201 + 1002 | 10.87533 9.292784 1.17 0.244 -7.471952 29.22261 + 1003 | 8.645895 7.748835 1.12 0.266 -6.653077 23.94487 + 1005 | 13.41358 12.66662 1.06 0.291 -11.59486 38.42202 + 1006 | .4609872 4.066971 0.11 0.910 -7.568668 8.490643 + 1007 | -1.157433 5.138485 -0.23 0.822 -11.30264 8.987774 + 1010 | -9.7089 4.364426 -2.22 0.027 -18.32584 -1.091962 + 1200 | -4.815251 3.65238 -1.32 0.189 -12.02636 2.395854 + 1201 | 5.623622 7.713261 0.73 0.467 -9.605114 20.85236 + 1202 | -12.5251 2.539495 -4.93 0.000 -17.53897 -7.511225 + 1203 | 11.49723 11.27724 1.02 0.309 -10.76807 33.76254 + 1204 | 4.041092 5.392125 0.75 0.455 -6.604892 14.68708 + 1205 | 13.27874 12.49629 1.06 0.290 -11.39341 37.95089 + 1206 | -5.132564 4.526316 -1.13 0.258 -14.06913 3.804004 + 1207 | 21.0455 4.472619 4.71 0.000 12.21495 29.87605 + 1208 | .9940669 4.609344 0.22 0.830 -8.106427 10.09456 + 1209 | 2.193006 5.288609 0.41 0.679 -8.248599 12.63461 + 1210 | -.930392 7.005458 -0.13 0.895 -14.76167 12.90089 + 1211 | -2.866689 7.083332 -0.40 0.686 -16.85172 11.11834 + 1299 | -10.29025 2.71642 -3.79 0.000 -15.65343 -4.927067 + 1300 | -1.671873 4.653811 -0.36 0.720 -10.86016 7.516414 + 1301 | 6.522425 6.126339 1.06 0.289 -5.57316 18.61801 + 1302 | -12.84451 2.264315 -5.67 0.000 -17.31507 -8.373938 + 1303 | -2.701629 4.284437 -0.63 0.529 -11.16064 5.757381 + 1304 | 3.68257 6.208226 0.59 0.554 -8.574689 15.93983 + 1305 | 22.72444 3.388455 6.71 0.000 16.03442 29.41447 + 1399 | -13.9523 3.274524 -4.26 0.000 -20.41738 -7.487218 + 1400 | -2.5429 6.876291 -0.37 0.712 -16.11916 11.03336 + 1401 | -8.918772 5.589672 -1.60 0.112 -19.95478 2.117242 + 1403 | .5768983 5.700781 0.10 0.920 -10.67848 11.83228 + 1404 | -13.11338 3.488553 -3.76 0.000 -20.00103 -6.22573 + 1405 | 6.434237 5.745884 1.12 0.264 -4.910193 17.77867 + 1406 | 7.020229 9.040268 0.78 0.439 -10.82849 24.86895 + 1407 | 1.946983 4.241427 0.46 0.647 -6.427112 10.32108 + 1408 | -8.270447 3.291081 -2.51 0.013 -14.76822 -1.772675 + 1409 | -6.802027 4.900924 -1.39 0.167 -16.4782 2.87415 + 1410 | 6.581293 8.22968 0.80 0.425 -9.667039 22.82963 + 1500 | -9.715798 2.523191 -3.85 0.000 -14.69748 -4.734117 + 1501 | 6.338729 5.059953 1.25 0.212 -3.651428 16.32889 + 1502 | 4.684394 6.077319 0.77 0.442 -7.314408 16.6832 + 1504 | 3.078898 7.815374 0.39 0.694 -12.35145 18.50924 + 1505 | 18.51531 4.230302 4.38 0.000 10.16318 26.86744 + 1507 | -9.596862 3.679279 -2.61 0.010 -16.86108 -2.332649 + 1520 | -2.061059 8.746596 -0.24 0.814 -19.32997 15.20785 + 1521 | 1.080371 5.70327 0.19 0.850 -10.17993 12.34067 + 1522 | 7.212972 3.601872 2.00 0.047 .1015881 14.32436 + 1523 | -4.362461 2.266292 -1.92 0.056 -8.836933 .1120096 + 1525 | -1.495768 3.675559 -0.41 0.685 -8.752636 5.761101 + 1526 | 24.96074 13.95128 1.79 0.075 -2.584076 52.50556 + 1599 | 21.07847 14.89001 1.42 0.159 -8.319741 50.47667 + 1600 | -2.019518 8.016347 -0.25 0.801 -17.84666 13.80762 + 1602 | 4.187874 5.262047 0.80 0.427 -6.201289 14.57704 + 1603 | -8.455347 7.52761 -1.12 0.263 -23.31754 6.406847 + 1604 | -11.5772 3.588615 -3.23 0.002 -18.66241 -4.49199 + 1605 | -7.359263 3.760238 -1.96 0.052 -14.78332 .0647915 + 1606 | -1.8641 5.012626 -0.37 0.710 -11.76082 8.032617 + 1608 | -3.69179 3.414572 -1.08 0.281 -10.43338 3.049798 + 1609 | 4.050098 3.480606 1.16 0.246 -2.821864 10.92206 + 1610 | -5.796012 5.220203 -1.11 0.268 -16.10256 4.510537 + 1611 | -13.41486 3.78506 -3.54 0.001 -20.88792 -5.941796 + 1612 | 3.117104 5.889528 0.53 0.597 -8.510931 14.74514 + 1615 | 17.33148 9.681477 1.79 0.075 -1.783219 36.44618 + 1616 | -3.756538 4.583033 -0.82 0.414 -12.80508 5.292008 + 1619 | -2.311452 5.196844 -0.44 0.657 -12.57188 7.948977 + 1620 | 3.569452 11.04946 0.32 0.747 -18.24613 25.38503 + 1698 | -3.65911 4.217598 -0.87 0.387 -11.98616 4.667937 + 1699 | -6.892383 2.859251 -2.41 0.017 -12.53757 -1.247199 + 1701 | 14.30366 8.843903 1.62 0.108 -3.157367 31.76469 + 1706 | -2.971569 4.485233 -0.66 0.509 -11.82702 5.883885 + 1707 | 8.78758 11.78164 0.75 0.457 -14.47359 32.04875 + 1708 | 42.06648 11.33989 3.71 0.000 19.67748 64.45547 + 1709 | 2.389518 6.009215 0.40 0.691 -9.474821 14.25386 + 1798 | 3.66896 8.540931 0.43 0.668 -13.19389 20.53181 + 1800 | 3.771996 10.96965 0.34 0.731 -17.88602 25.43001 + 1802 | 6.208128 6.360503 0.98 0.330 -6.34978 18.76604 + 1803 | -.2415195 5.138708 -0.05 0.963 -10.38717 9.904129 + 1804 | -13.07522 2.48785 -5.26 0.000 -17.98712 -8.163309 + 1806 | 26.01279 14.34681 1.81 0.072 -2.312942 54.33852 + 1807 | -4.983229 1.700834 -2.93 0.004 -8.341284 -1.625175 + 1900 | 52.34927 4.791217 10.93 0.000 42.88969 61.80885 + 1901 | -.7353943 4.902919 -0.15 0.881 -10.41551 8.944721 + 1902 | 2.601997 3.739568 0.70 0.488 -4.781247 9.985241 + 1905 | 14.15703 5.437838 2.60 0.010 3.420789 24.89326 + 1906 | 16.98838 11.69552 1.45 0.148 -6.102763 40.07952 + 1908 | 9.216676 13.42688 0.69 0.493 -17.29278 35.72613 + 1909 | 23.79219 5.775351 4.12 0.000 12.38958 35.1948 + 1911 | 10.01711 7.773068 1.29 0.199 -5.329712 25.36392 + 1912 | 2.859459 7.586592 0.38 0.707 -12.11919 17.83811 + 1920 | 5.051173 7.545548 0.67 0.504 -9.846439 19.94878 + 1925 | 11.93908 6.035311 1.98 0.050 .0232152 23.85494 + 1926 | 30.68427 6.145076 4.99 0.000 18.55169 42.81685 + 1927 | 9.06171 16.85523 0.54 0.592 -24.21655 42.33997 + 1929 | -13.32202 3.77835 -3.53 0.001 -20.78184 -5.862208 + 1999 | 43.87568 3.740803 11.73 0.000 36.49 51.26136 + 2000 | 7.227257 6.298354 1.15 0.253 -5.207948 19.66246 + 2001 | .5124098 5.731235 0.09 0.929 -10.8031 11.82792 + 2002 | 13.59005 7.749201 1.75 0.081 -1.70964 28.88975 + 2003 | 11.30237 5.888513 1.92 0.057 -.3236626 22.9284 + 2004 | 6.148965 4.218716 1.46 0.147 -2.18029 14.47822 + 2005 | 6.322536 7.479725 0.85 0.399 -8.445118 21.09019 + 2006 | 6.723258 7.504061 0.90 0.372 -8.092443 21.53896 + 2007 | -10.77073 3.700926 -2.91 0.004 -18.07768 -3.463774 + 2008 | 12.25243 4.332475 2.83 0.005 3.69858 20.80629 + 2011 | 2.113961 5.169292 0.41 0.683 -8.092071 12.31999 + 2012 | -1.451111 4.258118 -0.34 0.734 -9.85816 6.955938 + 2013 | 1.203402 4.61498 0.26 0.795 -7.908219 10.31502 + 2014 | 10.69604 5.190469 2.06 0.041 .4482016 20.94389 + 2030 | 2.389533 3.708629 0.64 0.520 -4.932627 9.711693 + 2099 | 43.89088 5.093188 8.62 0.000 33.8351 53.94665 + 2100 | 25.41643 12.71182 2.00 0.047 .3187534 50.5141 + 2101 | 5.085891 3.294529 1.54 0.125 -1.418688 11.59047 + 2102 | 15.36609 8.234642 1.87 0.064 -.8920359 31.62422 + 2103 | 4.941815 3.475731 1.42 0.157 -1.920521 11.80415 + 2104 | 14.43026 7.37588 1.96 0.052 -.1323613 28.99289 + 9999 | -14.97892 2.926118 -5.12 0.000 -20.75612 -9.201715 + | + house_administration | -4.131688 4.041681 -1.02 0.308 -12.11141 3.848036 + house_agriculture | .3198128 2.625732 0.12 0.903 -4.864321 5.503947 + house_appropriations | 4.856199 6.199352 0.78 0.435 -7.38354 17.09594 + house_armedservices | 1.074776 2.38371 0.45 0.653 -3.631521 5.781073 + house_budget | -9.659127 3.989245 -2.42 0.017 -17.53532 -1.78293 + house_dc | -9.583228 4.999964 -1.92 0.057 -19.45495 .2884898 + house_educlabor | -1.702144 2.108776 -0.81 0.421 -5.865621 2.461333 + house_energycommerce | -4.899503 1.880965 -2.60 0.010 -8.613201 -1.185805 + house_foreignaffairs | -3.917373 5.337846 -0.73 0.464 -14.45619 6.621445 + house_governmentop | 4.81781 3.007083 1.60 0.111 -1.119248 10.75487 + house_intelligence | 3.14781 6.630489 0.47 0.636 -9.943147 16.23877 + house_interior | -8.679023 3.111521 -2.79 0.006 -14.82228 -2.535766 + house_judiciary | -1.345942 2.167563 -0.62 0.535 -5.625486 2.933602 + house_mmf | -1.037263 5.087358 -0.20 0.839 -11.08153 9.007002 + house_pocs | .0764484 4.378972 0.02 0.986 -8.569208 8.722105 + house_pwt | -3.828215 3.005254 -1.27 0.205 -9.761662 2.105232 + house_rules | 1.24014 4.946236 0.25 0.802 -8.525499 11.00578 + house_sst | 9.603836 7.785627 1.23 0.219 -5.767777 24.97545 + house_smallbusi | -4.35516 4.905455 -0.89 0.376 -14.04028 5.329963 + house_soc | -5.949409 5.356218 -1.11 0.268 -16.5245 4.625682 + house_veterans | -1.613649 2.195324 -0.74 0.463 -5.948003 2.720706 + house_waysandmeans | .2178121 1.646158 0.13 0.895 -3.032293 3.467917 +house_naturalresources | -7.997009 2.805304 -2.85 0.005 -13.53568 -2.458335 + house_bfs | -2.087165 2.759266 -0.76 0.450 -7.534943 3.360613 + house_eeo | -10.16946 2.454422 -4.14 0.000 -15.01537 -5.323555 + house_govreform | 3.866941 3.302405 1.17 0.243 -2.653188 10.38707 + house_ir | -4.432328 3.025893 -1.46 0.145 -10.40652 1.541867 + house_natsecur | 7.842104 4.086898 1.92 0.057 -.2268947 15.9111 + house_oversight | -8.168102 3.824241 -2.14 0.034 -15.71852 -.6176829 + house_resources | -3.816527 3.327411 -1.15 0.253 -10.38603 2.752972 + house_science | 4.421619 4.722723 0.94 0.351 -4.902726 13.74596 + house_transp | .4909949 3.203411 0.15 0.878 -5.833684 6.815674 + house_homeland | -12.33508 12.63619 -0.98 0.330 -37.28343 12.61328 + _cons | 17.99453 3.426143 5.25 0.000 11.2301 24.75896 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 167 1 0 1 1 + + +j = 3 k = 3 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 11.12081 18.1168 .6138395 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(57,072 missing values generated) +(60,750 missing values generated) +(3,678 real changes made) +reg pct_cosponsors_opposite sponsor_female i.v2 MV1_female femaleXMV1_female i.minor house_* [aw=wt] if sponsor_party==200 & tag_bill==1 & sample==1 & abs(MV1_femal +> e)<=11.12080711935041, robust cluster(group_sponsor) +(sum of wgt is 1,770.26562619209) +note: house_dc omitted because of collinearity +note: house_soc omitted because of collinearity + +Linear regression Number of obs = 1,016 + F(84, 85) = . + Prob > F = . + R-squared = 0.4855 + Root MSE = 20.933 + + (Std. Err. adjusted for 86 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 4.427834 3.736712 1.18 0.239 -3.001751 11.85742 + | + v2 | + 103 | -9.3559 4.091567 -2.29 0.025 -17.49103 -1.220769 + 104 | -17.96942 5.841227 -3.08 0.003 -29.58335 -6.355497 + 105 | -15.45786 4.930872 -3.13 0.002 -25.26175 -5.653961 + 106 | -9.260016 4.562884 -2.03 0.046 -18.33225 -.1877808 + 107 | -.2861862 6.492862 -0.04 0.965 -13.19574 12.62336 + 108 | .3761037 6.749142 0.06 0.956 -13.043 13.79521 + 109 | -10.68634 5.352732 -2.00 0.049 -21.32901 -.0436737 + 110 | -15.69176 4.631224 -3.39 0.001 -24.89987 -6.483645 + 111 | -16.77369 5.826049 -2.88 0.005 -28.35744 -5.189948 + | + MV1_female | -.3113686 .3814907 -0.82 0.417 -1.069874 .4471372 + femaleXMV1_female | .1266351 .619568 0.20 0.839 -1.105232 1.358502 + | + minor | + 101 | 23.6917 22.48216 1.05 0.295 -21.00885 68.39226 + 104 | 13.77409 18.89996 0.73 0.468 -23.8041 51.35227 + 105 | 4.759509 22.24349 0.21 0.831 -39.4665 48.98552 + 107 | 10.31157 18.52235 0.56 0.579 -26.51583 47.13897 + 200 | 9.221867 18.92592 0.49 0.627 -28.40793 46.85166 + 202 | 75.24019 17.51805 4.30 0.000 40.4096 110.0708 + 204 | 16.44997 21.79775 0.75 0.453 -26.88979 59.78973 + 206 | 20.87733 18.26623 1.14 0.256 -15.44084 57.19549 + 207 | 8.612501 18.3999 0.47 0.641 -27.97142 45.19642 + 208 | 5.324864 20.09255 0.27 0.792 -34.6245 45.27423 + 209 | 6.395234 18.6877 0.34 0.733 -30.76092 43.55139 + 300 | 6.775642 24.7017 0.27 0.785 -42.33795 55.88924 + 301 | 17.6297 22.03361 0.80 0.426 -26.17903 61.43843 + 302 | 30.69798 19.19444 1.60 0.113 -7.465717 68.86167 + 321 | 7.720738 21.82669 0.35 0.724 -35.67656 51.11804 + 322 | 26.48376 21.63062 1.22 0.224 -16.5237 69.49123 + 323 | 23.54513 22.96105 1.03 0.308 -22.10758 69.19785 + 324 | -13.47032 19.56168 -0.69 0.493 -52.36419 25.42355 + 325 | 37.51429 19.98225 1.88 0.064 -2.215767 77.24435 + 331 | 55.99556 19.4477 2.88 0.005 17.32832 94.6628 + 332 | 57.72554 18.32358 3.15 0.002 21.29336 94.15772 + 333 | 66.70822 19.77199 3.37 0.001 27.39622 106.0202 + 334 | 19.11605 19.6422 0.97 0.333 -19.9379 58.16999 + 335 | -1.859292 19.24989 -0.10 0.923 -40.13323 36.41465 + 336 | 34.2284 19.43529 1.76 0.082 -4.414156 72.87097 + 341 | 24.57421 27.16469 0.90 0.368 -29.43648 78.58489 + 343 | 41.10473 23.79087 1.73 0.088 -6.197893 88.40735 + 398 | 43.76604 21.46819 2.04 0.045 1.081517 86.45056 + 399 | 50.56857 24.20081 2.09 0.040 2.450883 98.68626 + 400 | -3.440922 17.5618 -0.20 0.845 -38.35848 31.47663 + 401 | 13.0241 20.49677 0.64 0.527 -27.72897 53.77717 + 402 | 5.935421 21.05668 0.28 0.779 -35.9309 47.80174 + 403 | 15.53992 19.78501 0.79 0.434 -23.79799 54.87783 + 499 | -6.787431 16.95422 -0.40 0.690 -40.49697 26.9221 + 500 | -4.502797 18.24273 -0.25 0.806 -40.77424 31.76865 + 503 | 17.86818 18.44204 0.97 0.335 -18.79953 54.5359 + 505 | -8.471558 19.29406 -0.44 0.662 -46.83331 29.8902 + 508 | 33.02398 18.38091 1.80 0.076 -3.522201 69.57015 + 530 | 14.20624 17.31881 0.82 0.414 -20.22819 48.64067 + 599 | 26.50499 17.96733 1.48 0.144 -9.218882 62.22887 + 600 | -11.32001 19.69266 -0.57 0.567 -50.4743 27.83428 + 601 | 5.366507 18.42432 0.29 0.772 -31.26598 41.99899 + 602 | -1.10302 20.15679 -0.05 0.956 -41.18011 38.97407 + 603 | 10.14938 21.62302 0.47 0.640 -32.84298 53.14174 + 604 | -8.750536 19.23325 -0.45 0.650 -46.99139 29.49032 + 606 | 1.884556 20.00443 0.09 0.925 -37.8896 41.65872 + 607 | 11.03921 20.37845 0.54 0.589 -29.47861 51.55703 + 609 | 15.12699 19.37116 0.78 0.437 -23.38807 53.64205 + 699 | -15.49604 19.52544 -0.79 0.430 -54.31785 23.32577 + 700 | 7.416578 18.69984 0.40 0.693 -29.76372 44.59687 + 701 | 8.031293 21.03709 0.38 0.704 -33.79608 49.85867 + 703 | 27.30144 18.20849 1.50 0.137 -8.901921 63.5048 + 704 | 13.70411 20.03743 0.68 0.496 -26.13567 53.54389 + 705 | 19.14104 19.7811 0.97 0.336 -20.18909 58.47118 + 707 | -9.890525 18.60204 -0.53 0.596 -46.87637 27.09532 + 709 | 15.33012 19.14585 0.80 0.426 -22.73696 53.3972 + 710 | 24.91094 19.12117 1.30 0.196 -13.10707 62.92894 + 711 | 14.05994 20.55204 0.68 0.496 -26.80303 54.92291 + 800 | 35.47645 23.12551 1.53 0.129 -10.50325 81.45616 + 801 | 22.71242 27.46237 0.83 0.411 -31.89013 77.31498 + 802 | .3947752 19.24843 0.02 0.984 -37.87626 38.66581 + 803 | 17.2719 20.36764 0.85 0.399 -23.22442 57.76822 + 805 | -6.935207 20.63405 -0.34 0.738 -47.96123 34.09082 + 806 | 2.214131 18.65099 0.12 0.906 -34.86904 39.2973 + 807 | 6.773497 18.1192 0.37 0.709 -29.25234 42.79933 + 1001 | -1.554086 18.30962 -0.08 0.933 -37.95853 34.85035 + 1002 | -.3033231 17.66948 -0.02 0.986 -35.43498 34.82834 + 1003 | 20.9743 18.55724 1.13 0.262 -15.92247 57.87107 + 1005 | 44.76045 17.67302 2.53 0.013 9.621745 79.89916 + 1006 | 23.34221 18.08786 1.29 0.200 -12.62131 59.30573 + 1007 | 5.367875 20.32707 0.26 0.792 -35.04778 45.78353 + 1010 | 14.50038 22.46574 0.65 0.520 -30.16754 59.16829 + 1202 | 5.31518 18.0981 0.29 0.770 -30.66869 41.29905 + 1203 | 21.0857 19.40892 1.09 0.280 -17.50444 59.67584 + 1204 | 29.63315 19.73074 1.50 0.137 -9.59685 68.86315 + 1205 | 22.65966 19.89385 1.14 0.258 -16.89465 62.21397 + 1206 | 18.69135 27.80592 0.67 0.503 -36.59427 73.97696 + 1207 | 19.54975 20.23784 0.97 0.337 -20.6885 59.788 + 1208 | 32.10166 20.70343 1.55 0.125 -9.062295 73.26562 + 1209 | 22.22191 18.92311 1.17 0.244 -15.40231 59.84613 + 1210 | 11.61959 18.18669 0.64 0.525 -24.54042 47.7796 + 1211 | 14.50404 16.90244 0.86 0.393 -19.10254 48.11061 + 1300 | -17.65761 21.75563 -0.81 0.419 -60.91363 25.5984 + 1302 | 58.6274 18.33868 3.20 0.002 22.16519 95.08961 + 1303 | 38.35247 19.78229 1.94 0.056 -.9800141 77.68496 + 1304 | 54.88681 18.19663 3.02 0.003 18.70703 91.06658 + 1399 | 4.448894 18.62348 0.24 0.812 -32.57958 41.47736 + 1400 | 20.753 20.27388 1.02 0.309 -19.5569 61.0629 + 1401 | -6.801493 17.98976 -0.38 0.706 -42.56996 28.96697 + 1404 | 62.66087 18.58386 3.37 0.001 25.71119 99.61056 + 1405 | 42.88395 17.90322 2.40 0.019 7.287542 78.48035 + 1406 | -3.992261 18.56995 -0.21 0.830 -40.9143 32.92978 + 1407 | 52.36294 22.54188 2.32 0.023 7.54365 97.18222 + 1409 | 29.76444 22.69403 1.31 0.193 -15.35736 74.88625 + 1410 | 7.901288 17.73535 0.45 0.657 -27.36134 43.16392 + 1499 | -8.972266 17.94722 -0.50 0.618 -44.65615 26.71161 + 1500 | -6.806307 21.60154 -0.32 0.753 -49.75596 36.14335 + 1501 | 18.46498 18.89856 0.98 0.331 -19.11041 56.04038 + 1502 | 5.822835 20.00986 0.29 0.772 -33.96213 45.6078 + 1504 | 24.65234 19.26097 1.28 0.204 -13.64363 62.94831 + 1505 | 16.39389 22.38446 0.73 0.466 -28.1124 60.90019 + 1507 | 12.46069 18.55438 0.67 0.504 -24.43038 49.35176 + 1520 | 9.269156 20.15118 0.46 0.647 -30.7968 49.33511 + 1521 | -2.117912 18.47669 -0.11 0.909 -38.85452 34.6187 + 1523 | .4130547 18.35484 0.02 0.982 -36.08129 36.9074 + 1524 | 44.03539 18.62082 2.36 0.020 7.012212 81.05857 + 1525 | 10.76028 19.47442 0.55 0.582 -27.96008 49.48065 + 1526 | 42.86863 17.96733 2.39 0.019 7.144754 78.5925 + 1599 | 24.82269 24.12957 1.03 0.307 -23.15336 72.79873 + 1600 | -36.27805 19.86737 -1.83 0.071 -75.7797 3.223593 + 1603 | -52.69623 21.5332 -2.45 0.016 -95.50999 -9.88247 + 1604 | -1.714325 25.2635 -0.07 0.946 -51.94494 48.51629 + 1608 | 13.59016 19.74867 0.69 0.493 -25.67549 52.85581 + 1609 | 23.77265 18.41824 1.29 0.200 -12.84775 60.39305 + 1610 | 4.76685 20.58568 0.23 0.817 -36.16299 45.69669 + 1611 | -8.920797 19.58819 -0.46 0.650 -47.86737 30.02578 + 1615 | 4.160695 24.87186 0.17 0.868 -45.29122 53.61261 + 1616 | -1.526518 21.48638 -0.07 0.944 -44.24719 41.19415 + 1617 | 36.56685 19.73496 1.85 0.067 -2.671542 75.80525 + 1619 | 3.74528 23.91348 0.16 0.876 -43.80113 51.29169 + 1698 | 32.46946 19.00773 1.71 0.091 -5.323001 70.26192 + 1699 | 16.66259 19.75742 0.84 0.401 -22.62046 55.94565 + 1701 | 23.53435 31.17587 0.75 0.452 -38.45163 85.52033 + 1704 | 15.63422 20.3368 0.77 0.444 -24.80079 56.06923 + 1706 | 31.92586 21.89418 1.46 0.148 -11.60563 75.45735 + 1707 | 2.712905 20.55391 0.13 0.895 -38.15377 43.57958 + 1709 | 36.71215 18.98107 1.93 0.056 -1.027314 74.45161 + 1798 | 33.33694 28.4774 1.17 0.245 -23.28377 89.95765 + 1800 | 18.2693 22.80987 0.80 0.425 -27.08284 63.62144 + 1802 | 15.0406 29.45809 0.51 0.611 -43.52997 73.61117 + 1803 | 3.573604 18.07963 0.20 0.844 -32.37354 39.52075 + 1806 | 33.18432 22.49726 1.48 0.144 -11.54627 77.9149 + 1807 | 5.070526 20.55864 0.25 0.806 -35.80556 45.94662 + 1808 | 1.339641 17.62266 0.08 0.940 -33.69893 36.37821 + 1900 | 2.01556 18.21985 0.11 0.912 -34.21039 38.24151 + 1901 | 4.872863 20.21505 0.24 0.810 -35.32007 45.06579 + 1902 | 22.84818 18.70086 1.22 0.225 -14.33414 60.0305 + 1906 | 68.42528 18.31144 3.74 0.000 32.01723 104.8333 + 1907 | 35.15624 17.14388 2.05 0.043 1.06962 69.24287 + 1915 | 10.18168 20.75653 0.49 0.625 -31.08786 51.45121 + 1919 | 4.029137 19.12383 0.21 0.834 -33.99415 42.05243 + 1925 | 48.31679 20.62392 2.34 0.021 7.31092 89.32266 + 1926 | 18.78575 19.3605 0.97 0.335 -19.70812 57.27961 + 1927 | 14.74272 21.53667 0.68 0.495 -28.07795 57.5634 + 1929 | 1.826256 19.66434 0.09 0.926 -37.27171 40.92423 + 2000 | 20.27319 21.78265 0.93 0.355 -23.03656 63.58294 + 2001 | 26.67869 18.91448 1.41 0.162 -10.92836 64.28574 + 2002 | 11.91951 18.52689 0.64 0.522 -24.91692 48.75594 + 2003 | 42.17579 19.18362 2.20 0.031 4.033614 80.31797 + 2004 | 26.36385 18.28684 1.44 0.153 -9.995293 62.72299 + 2005 | -14.79923 19.12332 -0.77 0.441 -52.82152 23.22306 + 2006 | 21.13055 20.59858 1.03 0.308 -19.82494 62.08604 + 2007 | -7.25028 18.63845 -0.39 0.698 -44.30851 29.80795 + 2008 | 15.6092 18.41465 0.85 0.399 -21.00405 52.22246 + 2009 | 12.27341 18.29077 0.67 0.504 -24.09354 48.64036 + 2011 | 14.96648 20.09091 0.74 0.458 -24.97964 54.9126 + 2012 | 8.060016 18.83099 0.43 0.670 -29.38104 45.50108 + 2013 | 6.208147 18.45082 0.34 0.737 -30.47703 42.89332 + 2014 | -.796053 19.66382 -0.04 0.968 -39.89299 38.30089 + 2015 | 55.57705 19.1774 2.90 0.005 17.44725 93.70684 + 2100 | .667337 19.54266 0.03 0.973 -38.1887 39.52338 + 2101 | 12.6448 18.00449 0.70 0.484 -23.15294 48.44254 + 2102 | 14.06469 18.78733 0.75 0.456 -23.28956 51.41893 + 2103 | 2.602742 18.22561 0.14 0.887 -33.63466 38.84014 + 2104 | 11.53765 18.4543 0.63 0.534 -25.15443 48.22973 + 2105 | 55.16985 31.84595 1.73 0.087 -8.148433 118.4881 + | + house_administration | -10.61119 5.64564 -1.88 0.064 -21.83623 .6138568 + house_agriculture | 12.11313 4.926499 2.46 0.016 2.317925 21.90833 + house_appropriations | -10.16675 6.175735 -1.65 0.103 -22.44577 2.112261 + house_armedservices | -5.339585 7.073533 -0.75 0.452 -19.40366 8.724493 + house_budget | 7.340531 11.35475 0.65 0.520 -15.23575 29.91681 + house_dc | 0 (omitted) + house_educlabor | 11.53647 5.44154 2.12 0.037 .7172346 22.35571 + house_energycommerce | 2.084323 3.976098 0.52 0.601 -5.821225 9.98987 + house_foreignaffairs | -4.195453 7.082887 -0.59 0.555 -18.27813 9.887224 + house_governmentop | -8.233413 6.213563 -1.33 0.189 -20.58764 4.120814 + house_intelligence | 56.93475 10.83499 5.25 0.000 35.3919 78.47761 + house_interior | -5.890573 5.185292 -1.14 0.259 -16.20032 4.419177 + house_judiciary | -6.961717 2.283868 -3.05 0.003 -11.50266 -2.420776 + house_mmf | -7.59757 8.837946 -0.86 0.392 -25.16977 9.974635 + house_pocs | -6.926452 5.111721 -1.36 0.179 -17.08992 3.23702 + house_pwt | -3.977623 7.031407 -0.57 0.573 -17.95794 10.0027 + house_rules | -14.66249 5.799394 -2.53 0.013 -26.19324 -3.131739 + house_sst | -4.112255 19.38759 -0.21 0.833 -42.65997 34.43547 + house_smallbusi | 23.24231 12.45942 1.87 0.066 -1.530363 48.01498 + house_soc | 0 (omitted) + house_veterans | .6854856 5.530058 0.12 0.902 -10.30975 11.68072 + house_waysandmeans | -4.540365 3.618175 -1.25 0.213 -11.73427 2.653537 +house_naturalresources | 20.34009 4.869443 4.18 0.000 10.65833 30.02185 + house_bfs | 6.567529 4.439077 1.48 0.143 -2.258544 15.3936 + house_eeo | 5.153613 8.282846 0.62 0.535 -11.31491 21.62213 + house_govreform | -3.090384 3.744039 -0.83 0.411 -10.53454 4.353769 + house_ir | 4.169772 6.890855 0.61 0.547 -9.531094 17.87064 + house_natsecur | 28.39101 11.1838 2.54 0.013 6.154615 50.6274 + house_oversight | 4.669474 5.632893 0.83 0.409 -6.530227 15.86917 + house_resources | -2.734661 5.435515 -0.50 0.616 -13.54192 8.072599 + house_science | -4.869132 9.121982 -0.53 0.595 -23.00608 13.26781 + house_transp | -.5320201 4.050219 -0.13 0.896 -8.58494 7.5209 + house_homeland | -.8436204 16.59738 -0.05 0.960 -33.84365 32.15641 + _cons | 10.62172 17.32341 0.61 0.541 -23.82186 45.06529 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 86 1 0 1 1 + + +j = 4 k = 1 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11989 +----------------------+---------------------- NN matches = 3 + Number of obs | 6150 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 15.71586 27.17455 .5783301 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(6,677 missing values generated) +(54,574 missing values generated) +(47,897 real changes made) +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* [aw=wt] if tag_bill==1, robust cluster(group_sponsor) +(sum of wgt is 119,189.250633121) + +Linear regression Number of obs = 55,670 + F(268, 4402) = . + Prob > F = . + R-squared = 0.0953 + Root MSE = 21.383 + + (Std. Err. adjusted for 4,403 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | .9821881 .7318036 1.34 0.180 -.4525151 2.416891 + | + v2 | + 102 | -.8698967 3.042536 -0.29 0.775 -6.834797 5.095004 + 103 | -5.153705 1.727029 -2.98 0.003 -8.539551 -1.767859 + 104 | -3.902008 2.233322 -1.75 0.081 -8.280444 .4764273 + 105 | -3.261648 2.257532 -1.44 0.149 -7.687546 1.164249 + 106 | -1.296264 2.397958 -0.54 0.589 -5.997467 3.40494 + 107 | -1.896489 2.155734 -0.88 0.379 -6.122811 2.329834 + 108 | -3.218421 2.074206 -1.55 0.121 -7.284909 .8480669 + 109 | -3.443098 1.915881 -1.80 0.072 -7.199189 .3129923 + 110 | -6.487613 1.738215 -3.73 0.000 -9.89539 -3.079836 + 111 | -8.137818 1.825868 -4.46 0.000 -11.71744 -4.558199 + | + minor | + 101 | 22.22973 8.563468 2.60 0.009 5.441027 39.01844 + 103 | 2.963255 4.34212 0.68 0.495 -5.549484 11.47599 + 104 | 11.31133 7.724024 1.46 0.143 -3.831644 26.4543 + 105 | 7.283491 3.415252 2.13 0.033 .5878791 13.9791 + 107 | 11.24687 3.196801 3.52 0.000 4.979534 17.51421 + 108 | 15.03526 6.669887 2.25 0.024 1.958931 28.1116 + 110 | 2.347299 3.293285 0.71 0.476 -4.109196 8.803794 + 200 | 7.339223 3.564611 2.06 0.040 .3507921 14.32765 + 201 | -.6305538 2.894779 -0.22 0.828 -6.305777 5.04467 + 202 | 12.56249 7.326027 1.71 0.086 -1.800211 26.92519 + 204 | 8.769571 3.531446 2.48 0.013 1.84616 15.69298 + 205 | 13.15598 4.462843 2.95 0.003 4.406557 21.90539 + 206 | 3.216279 3.254312 0.99 0.323 -3.16381 9.596368 + 207 | 6.520122 2.912424 2.24 0.025 .8103067 12.22994 + 208 | 8.457928 3.173256 2.67 0.008 2.236749 14.67911 + 209 | -.359398 2.854492 -0.13 0.900 -5.955638 5.236842 + 299 | 19.29278 10.15931 1.90 0.058 -.6245714 39.21014 + 300 | 18.88081 5.085471 3.71 0.000 8.91073 28.85089 + 301 | 14.18809 3.280248 4.33 0.000 7.757158 20.61903 + 302 | 15.73152 3.524236 4.46 0.000 8.822249 22.6408 + 321 | 20.50665 3.758692 5.46 0.000 13.13772 27.87558 + 322 | 16.90247 5.639157 3.00 0.003 5.846889 27.95806 + 323 | 17.23453 4.113348 4.19 0.000 9.1703 25.29876 + 324 | 7.491924 4.279206 1.75 0.080 -.8974709 15.88132 + 325 | 14.6837 4.467799 3.29 0.001 5.924571 23.44284 + 331 | 25.81097 4.304298 6.00 0.000 17.37238 34.24956 + 332 | 18.88719 4.396406 4.30 0.000 10.26802 27.50636 + 333 | 18.90469 4.942825 3.82 0.000 9.214267 28.59511 + 334 | 24.35174 4.699483 5.18 0.000 15.13839 33.56509 + 335 | 13.68238 5.817801 2.35 0.019 2.276565 25.0882 + 336 | 19.95068 3.567418 5.59 0.000 12.95675 26.94461 + 341 | 10.90814 3.885146 2.81 0.005 3.291301 18.52498 + 342 | 14.86779 7.365103 2.02 0.044 .4284793 29.30709 + 343 | 10.42474 4.280353 2.44 0.015 2.033093 18.81638 + 344 | 6.161222 5.477883 1.12 0.261 -4.578184 16.90063 + 398 | 23.45018 6.248675 3.75 0.000 11.19963 35.70072 + 399 | 15.28272 6.698708 2.28 0.023 2.149878 28.41555 + 400 | 7.122552 3.42886 2.08 0.038 .4002624 13.84484 + 401 | 15.55871 5.844772 2.66 0.008 4.100011 27.0174 + 402 | 14.49256 3.517083 4.12 0.000 7.597311 21.38781 + 403 | 5.496981 3.604872 1.52 0.127 -1.570382 12.56434 + 404 | 21.84472 4.084071 5.35 0.000 13.83788 29.85155 + 405 | 11.65321 4.986784 2.34 0.019 1.876601 21.42981 + 498 | 9.335784 3.794869 2.46 0.014 1.895932 16.77564 + 499 | 10.26618 4.509071 2.28 0.023 1.426132 19.10623 + 500 | 2.590619 3.245928 0.80 0.425 -3.773033 8.954271 + 501 | 4.825071 2.878086 1.68 0.094 -.8174246 10.46757 + 502 | 13.2801 4.699979 2.83 0.005 4.065773 22.49442 + 503 | 8.2982 2.802946 2.96 0.003 2.803016 13.79338 + 504 | 10.26419 7.014135 1.46 0.143 -3.487042 24.01542 + 505 | 1.508395 2.84899 0.53 0.597 -4.077058 7.093848 + 506 | 4.884681 2.991752 1.63 0.103 -.9806581 10.75002 + 508 | 9.483317 3.035978 3.12 0.002 3.531273 15.43536 + 529 | 32.28291 6.961531 4.64 0.000 18.6348 45.93101 + 530 | 9.498264 2.871586 3.31 0.001 3.868512 15.12802 + 599 | 1.763632 3.688072 0.48 0.633 -5.466844 8.994108 + 600 | 9.247559 4.219629 2.19 0.028 .9749646 17.52015 + 601 | 13.31482 2.70581 4.92 0.000 8.010068 18.61956 + 602 | 12.06317 3.834907 3.15 0.002 4.544818 19.58151 + 603 | 11.60761 3.805109 3.05 0.002 4.147682 19.06754 + 604 | 3.318218 3.909184 0.85 0.396 -4.34575 10.98219 + 606 | 8.52285 3.162502 2.69 0.007 2.322755 14.72294 + 607 | 14.67886 3.80571 3.86 0.000 7.217751 22.13996 + 609 | 7.839266 4.218511 1.86 0.063 -.4311381 16.10967 + 698 | 3.864238 4.668779 0.83 0.408 -5.288918 13.01739 + 699 | 6.071828 3.226948 1.88 0.060 -.2546128 12.39827 + 700 | 9.860781 3.314216 2.98 0.003 3.36325 16.35831 + 701 | 15.26475 4.44306 3.44 0.001 6.554114 23.97538 + 703 | 11.05862 3.468117 3.19 0.001 4.25937 17.85788 + 704 | 12.20585 4.469593 2.73 0.006 3.443195 20.9685 + 705 | 8.87656 3.756681 2.36 0.018 1.511576 16.24154 + 707 | 8.242612 4.799738 1.72 0.086 -1.167289 17.65251 + 708 | 6.477411 5.31655 1.22 0.223 -3.945702 16.90052 + 709 | 9.435674 2.392182 3.94 0.000 4.745795 14.12555 + 710 | 13.61664 2.944754 4.62 0.000 7.843441 19.38984 + 711 | 12.70888 3.93894 3.23 0.001 4.986574 20.43118 + 798 | 15.36871 5.122484 3.00 0.003 5.326059 25.41135 + 799 | 15.81301 6.73797 2.35 0.019 2.603197 29.02282 + 800 | 7.093955 3.275933 2.17 0.030 .6714772 13.51643 + 801 | 13.49425 4.026317 3.35 0.001 5.600641 21.38785 + 802 | 11.67988 4.161478 2.81 0.005 3.521293 19.83847 + 803 | 7.764247 3.028115 2.56 0.010 1.827618 13.70088 + 805 | 1.672409 3.270863 0.51 0.609 -4.740127 8.084945 + 806 | 17.24937 4.18828 4.12 0.000 9.038231 25.4605 + 807 | 18.85131 3.697785 5.10 0.000 11.60179 26.10083 + 898 | 8.18301 7.476547 1.09 0.274 -6.474783 22.8408 + 899 | 1.232664 4.819212 0.26 0.798 -8.215415 10.68074 + 1000 | 11.93679 3.615532 3.30 0.001 4.848526 19.02505 + 1001 | 19.23521 5.218316 3.69 0.000 9.004687 29.46574 + 1002 | 12.95506 3.141517 4.12 0.000 6.796103 19.11401 + 1003 | 12.46443 3.206355 3.89 0.000 6.178356 18.75049 + 1005 | 16.60664 4.238896 3.92 0.000 8.296272 24.91701 + 1006 | 20.25538 4.254214 4.76 0.000 11.91498 28.59578 + 1007 | 12.07302 2.743035 4.40 0.000 6.695288 17.45075 + 1010 | 1.792453 2.958791 0.61 0.545 -4.008266 7.593172 + 1098 | 8.036439 6.616767 1.21 0.225 -4.935753 21.00863 + 1099 | 24.28154 12.27946 1.98 0.048 .2076194 48.35545 + 1200 | 7.43745 3.592052 2.07 0.038 .3952213 14.47968 + 1201 | 14.51466 3.485294 4.16 0.000 7.681734 21.34759 + 1202 | 16.90779 3.892398 4.34 0.000 9.276732 24.53885 + 1203 | 10.69396 3.221074 3.32 0.001 4.379034 17.00889 + 1204 | 16.31473 3.878849 4.21 0.000 8.710236 23.91923 + 1205 | 11.92969 3.786773 3.15 0.002 4.50571 19.35367 + 1206 | 13.99427 4.385015 3.19 0.001 5.39743 22.5911 + 1207 | 16.04685 3.175084 5.05 0.000 9.822085 22.27161 + 1208 | 21.68612 4.421159 4.91 0.000 13.01843 30.35382 + 1209 | 10.399 2.843002 3.66 0.000 4.825286 15.97271 + 1210 | 11.04709 3.092051 3.57 0.000 4.985117 17.10907 + 1211 | 10.80563 3.395696 3.18 0.001 4.148356 17.4629 + 1299 | 14.5429 6.394145 2.27 0.023 2.007161 27.07864 + 1300 | 11.13102 5.804584 1.92 0.055 -.2488858 22.51092 + 1301 | 13.53566 4.518924 3.00 0.003 4.6763 22.39503 + 1302 | 8.644205 4.13907 2.09 0.037 .5295454 16.75886 + 1303 | 18.75323 9.732717 1.93 0.054 -.3277911 37.83425 + 1304 | 14.60131 4.120795 3.54 0.000 6.522481 22.68014 + 1305 | 12.64548 3.875541 3.26 0.001 5.047468 20.24349 + 1399 | 5.475184 4.648942 1.18 0.239 -3.639081 14.58945 + 1400 | 11.18742 3.214354 3.48 0.001 4.885672 17.48917 + 1401 | 11.14653 3.087285 3.61 0.000 5.093903 17.19917 + 1403 | 15.15327 4.022919 3.77 0.000 7.266322 23.04021 + 1404 | 5.824194 3.863501 1.51 0.132 -1.75021 13.3986 + 1405 | 17.43109 5.969086 2.92 0.004 5.728678 29.1335 + 1406 | 8.019352 3.297764 2.43 0.015 1.554076 14.48463 + 1407 | 18.53367 5.026166 3.69 0.000 8.67986 28.38749 + 1408 | .8618625 4.316468 0.20 0.842 -7.600586 9.324311 + 1409 | 22.24887 7.661946 2.90 0.004 7.227604 37.27014 + 1410 | 19.77281 4.493868 4.40 0.000 10.96257 28.58306 + 1499 | 10.37878 4.990794 2.08 0.038 .5943078 20.16324 + 1500 | 7.335307 4.183974 1.75 0.080 -.8673856 15.538 + 1501 | 15.47046 3.087621 5.01 0.000 9.417175 21.52376 + 1502 | 12.49657 2.969435 4.21 0.000 6.674988 18.31816 + 1504 | 9.384308 3.07108 3.06 0.002 3.363447 15.40517 + 1505 | 18.55448 4.244249 4.37 0.000 10.23362 26.87534 + 1507 | 12.3739 3.985669 3.10 0.002 4.559982 20.18782 + 1520 | 6.631137 3.229336 2.05 0.040 .3000137 12.96226 + 1521 | 16.24219 3.557281 4.57 0.000 9.268126 23.21625 + 1522 | 26.37974 3.648029 7.23 0.000 19.22777 33.53171 + 1523 | 12.79189 3.362771 3.80 0.000 6.199169 19.38461 + 1524 | 16.62082 4.96198 3.35 0.001 6.89284 26.34879 + 1525 | 10.01708 3.8664 2.59 0.010 2.436988 17.59716 + 1526 | 16.22056 3.256022 4.98 0.000 9.837117 22.604 + 1599 | 17.55204 5.062507 3.47 0.001 7.626981 27.4771 + 1600 | 11.90098 3.446784 3.45 0.001 5.143553 18.65841 + 1602 | 3.682806 4.25948 0.86 0.387 -4.667916 12.03353 + 1603 | 3.605212 3.917601 0.92 0.357 -4.075257 11.28568 + 1604 | 12.68285 5.114656 2.48 0.013 2.655548 22.71014 + 1605 | 14.566 6.881698 2.12 0.034 1.074412 28.05759 + 1606 | 5.934353 4.527701 1.31 0.190 -2.942219 14.81092 + 1608 | 14.22865 2.769692 5.14 0.000 8.798662 19.65864 + 1609 | 15.3477 3.183839 4.82 0.000 9.105772 21.58963 + 1610 | 9.327753 4.587822 2.03 0.042 .3333142 18.32219 + 1611 | 17.56739 5.645328 3.11 0.002 6.499704 28.63507 + 1612 | 17.52029 3.884707 4.51 0.000 9.904308 25.13627 + 1614 | 5.39903 4.078815 1.32 0.186 -2.597498 13.39556 + 1615 | 10.37486 3.340576 3.11 0.002 3.825649 16.92407 + 1616 | 4.058658 2.123372 1.91 0.056 -.1042191 8.221536 + 1617 | 7.258865 3.453472 2.10 0.036 .4883235 14.02941 + 1619 | 3.654221 3.43023 1.07 0.287 -3.070755 10.3792 + 1620 | 18.23811 5.955576 3.06 0.002 6.562185 29.91404 + 1698 | 12.62766 4.430639 2.85 0.004 3.941374 21.31394 + 1699 | 19.30863 3.96793 4.87 0.000 11.52949 27.08777 + 1700 | 18.53688 5.636527 3.29 0.001 7.486456 29.58731 + 1701 | 14.78451 4.432518 3.34 0.001 6.094546 23.47448 + 1704 | 21.87846 6.350284 3.45 0.001 9.428706 34.32821 + 1705 | 5.040297 8.240271 0.61 0.541 -11.11478 21.19537 + 1706 | 16.06936 4.225081 3.80 0.000 7.786077 24.35265 + 1707 | 11.55567 4.662479 2.48 0.013 2.414862 20.69647 + 1708 | 17.23041 4.260675 4.04 0.000 8.87734 25.58347 + 1709 | 26.26221 4.477365 5.87 0.000 17.48432 35.04009 + 1798 | 23.51116 4.812079 4.89 0.000 14.07706 32.94525 + 1799 | 6.380218 5.062155 1.26 0.208 -3.544152 16.30459 + 1800 | 21.45185 6.6008 3.25 0.001 8.510959 34.39273 + 1802 | 13.17517 3.350934 3.93 0.000 6.605655 19.74469 + 1803 | 15.24922 4.770776 3.20 0.001 5.896104 24.60234 + 1804 | 11.46686 3.623044 3.16 0.002 4.363873 18.56985 + 1806 | 18.94675 8.213319 2.31 0.021 2.84451 35.04898 + 1807 | 1.48186 3.035239 0.49 0.625 -4.468735 7.432455 + 1808 | 13.42311 4.583329 2.93 0.003 4.43748 22.40874 + 1899 | -1.478218 3.815301 -0.39 0.698 -8.958127 6.001691 + 1900 | 10.90382 3.388577 3.22 0.001 4.260508 17.54714 + 1901 | 9.29362 2.32548 4.00 0.000 4.73451 13.85273 + 1902 | 20.09493 6.113068 3.29 0.001 8.110246 32.07962 + 1905 | 4.007902 4.032429 0.99 0.320 -3.897687 11.91349 + 1906 | 11.03303 3.752346 2.94 0.003 3.676548 18.38952 + 1907 | 17.14969 7.363689 2.33 0.020 2.713157 31.58623 + 1908 | 10.68255 5.193728 2.06 0.040 .5002317 20.86487 + 1909 | 31.90955 7.589594 4.20 0.000 17.03013 46.78897 + 1910 | 43.69565 12.47267 3.50 0.000 19.24293 68.14836 + 1911 | 11.76743 3.783734 3.11 0.002 4.349409 19.18545 + 1912 | -5.203869 2.50729 -2.08 0.038 -10.11942 -.2883198 + 1914 | 4.926498 3.014311 1.63 0.102 -.9830674 10.83606 + 1915 | 23.84456 6.569242 3.63 0.000 10.96554 36.72358 + 1919 | 16.17476 4.097876 3.95 0.000 8.140865 24.20866 + 1920 | 15.02978 3.251806 4.62 0.000 8.654609 21.40496 + 1925 | 23.44071 7.911415 2.96 0.003 7.930356 38.95106 + 1926 | 10.75563 7.257701 1.48 0.138 -3.473119 24.98437 + 1927 | 6.14003 3.558046 1.73 0.084 -.8355311 13.11559 + 1929 | 9.84393 3.430559 2.87 0.004 3.118309 16.56955 + 1999 | 18.2773 8.569283 2.13 0.033 1.47719 35.0774 + 2000 | 5.347663 4.018462 1.33 0.183 -2.530543 13.22587 + 2001 | 10.54658 4.47012 2.36 0.018 1.782898 19.31027 + 2002 | 8.908361 3.002805 2.97 0.003 3.021351 14.79537 + 2003 | 24.41094 4.381902 5.57 0.000 15.82021 33.00167 + 2004 | 17.393 3.13332 5.55 0.000 11.25012 23.53589 + 2005 | 7.725332 5.676588 1.36 0.174 -3.403637 18.8543 + 2006 | 31.26684 3.21268 9.73 0.000 24.96837 37.56531 + 2007 | 8.491903 4.052359 2.10 0.036 .5472409 16.43657 + 2008 | 23.85313 2.634184 9.06 0.000 18.68881 29.01746 + 2009 | 14.61746 6.199616 2.36 0.018 2.463096 26.77183 + 2010 | -.1549128 2.847642 -0.05 0.957 -5.737723 5.427898 + 2011 | 7.669174 2.691293 2.85 0.004 2.392885 12.94546 + 2012 | 7.203797 2.92784 2.46 0.014 1.463758 12.94384 + 2013 | 7.462118 4.725084 1.58 0.114 -1.801423 16.72566 + 2014 | 8.465548 4.346377 1.95 0.052 -.0555369 16.98663 + 2015 | 13.82607 4.528139 3.05 0.002 4.94864 22.7035 + 2030 | 14.03788 7.291662 1.93 0.054 -.2574492 28.3332 + 2099 | 12.44197 4.425692 2.81 0.005 3.765384 21.11855 + 2100 | 2.824318 3.17507 0.89 0.374 -3.400416 9.049052 + 2101 | 13.01365 2.701671 4.82 0.000 7.717013 18.31028 + 2102 | 14.81159 2.839797 5.22 0.000 9.244158 20.37902 + 2103 | 8.074204 2.37872 3.39 0.001 3.410716 12.73769 + 2104 | 8.941081 3.021741 2.96 0.003 3.016948 14.86521 + 2105 | 8.00807 4.29174 1.87 0.062 -.405899 16.42204 + 2199 | -.4097887 5.675213 -0.07 0.942 -11.53606 10.71648 + 9999 | 9.788102 3.131938 3.13 0.002 3.647928 15.92828 + | + house_administration | -3.013026 1.346583 -2.24 0.025 -5.653005 -.3730465 + house_agriculture | 1.149543 1.429123 0.80 0.421 -1.652257 3.951342 + house_appropriations | -5.893593 2.052893 -2.87 0.004 -9.918295 -1.868891 + house_armedservices | -2.851478 1.196355 -2.38 0.017 -5.196936 -.5060205 + house_budget | -.5915392 1.73564 -0.34 0.733 -3.994267 2.811188 + house_dc | 4.181506 8.928066 0.47 0.640 -13.322 21.68501 + house_educlabor | -1.308889 1.962956 -0.67 0.505 -5.157271 2.539493 + house_energycommerce | .0576831 1.148141 0.05 0.960 -2.193251 2.308618 + house_foreignaffairs | 2.594443 3.248902 0.80 0.425 -3.77504 8.963926 + house_governmentop | .6656364 1.760533 0.38 0.705 -2.785893 4.117166 + house_intelligence | 1.88854 2.131128 0.89 0.376 -2.289543 6.066623 + house_interior | -.4041728 2.142838 -0.19 0.850 -4.605213 3.796867 + house_judiciary | -1.428063 .7152279 -2.00 0.046 -2.830269 -.0258563 + house_mmf | -.0739848 2.727012 -0.03 0.978 -5.4203 5.272331 + house_pocs | -2.556777 2.20578 -1.16 0.246 -6.881215 1.767662 + house_pwt | .4358267 1.912329 0.23 0.820 -3.313299 4.184953 + house_rules | -.7543864 1.924285 -0.39 0.695 -4.526954 3.018181 + house_sst | 9.441525 3.383587 2.79 0.005 2.807992 16.07506 + house_smallbusi | -3.860848 1.977646 -1.95 0.051 -7.73803 .016333 + house_soc | 1.26679 3.500441 0.36 0.717 -5.595835 8.129415 + house_veterans | -.4334662 1.352174 -0.32 0.749 -3.084408 2.217476 + house_waysandmeans | -1.227852 1.238469 -0.99 0.322 -3.655874 1.200171 +house_naturalresources | 2.716776 1.415597 1.92 0.055 -.0585067 5.492058 + house_bfs | -1.315161 .8520006 -1.54 0.123 -2.985511 .3551888 + house_eeo | .5921686 2.966832 0.20 0.842 -5.224314 6.408651 + house_govreform | .3960611 .971238 0.41 0.683 -1.508054 2.300176 + house_ir | 2.53934 1.64579 1.54 0.123 -.6872365 5.765916 + house_natsecur | -2.320799 1.872032 -1.24 0.215 -5.990923 1.349324 + house_oversight | .2729091 1.189956 0.23 0.819 -2.060004 2.605822 + house_resources | -1.781725 1.131637 -1.57 0.115 -4.000302 .4368515 + house_science | -.4313804 1.397276 -0.31 0.758 -3.170745 2.307984 + house_transp | 1.307437 .9609656 1.36 0.174 -.5765391 3.191413 + house_homeland | -.6507203 1.352789 -0.48 0.631 -3.302866 2.001426 + _cons | 7.088401 3.399182 2.09 0.037 .424295 13.75251 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,403 1 0 1 1 + + +j = 4 k = 2 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6186 +----------------------+---------------------- NN matches = 3 + Number of obs | 2192 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 24.47749 44.63704 .5483673 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(6,677 missing values generated) +(54,574 missing values generated) +(47,897 real changes made) +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==100 & tag_bill==1, robust cluster(group_sponsor) +(sum of wgt is 61,739.6223663092) + +Linear regression Number of obs = 29,559 + F(268, 2277) = . + Prob > F = . + R-squared = 0.1127 + Root MSE = 16.869 + + (Std. Err. adjusted for 2,278 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -.9294742 .5697763 -1.63 0.103 -2.046809 .1878607 + | + v2 | + 102 | -3.018489 1.159435 -2.60 0.009 -5.292149 -.7448286 + 103 | -3.448597 1.108126 -3.11 0.002 -5.621639 -1.275555 + 104 | -4.600945 1.680628 -2.74 0.006 -7.896667 -1.305223 + 105 | -4.778922 1.401863 -3.41 0.001 -7.527985 -2.029859 + 106 | -5.45135 1.233932 -4.42 0.000 -7.871099 -3.031601 + 107 | -4.702693 1.33212 -3.53 0.000 -7.314989 -2.090397 + 108 | -6.723172 1.077362 -6.24 0.000 -8.835886 -4.610458 + 109 | -6.902948 1.100522 -6.27 0.000 -9.061079 -4.744817 + 110 | -2.170917 1.271173 -1.71 0.088 -4.663695 .3218622 + 111 | -4.04673 1.333841 -3.03 0.002 -6.6624 -1.43106 + | + minor | + 101 | -2.867085 5.356913 -0.54 0.593 -13.37203 7.637856 + 103 | -5.808199 3.009694 -1.93 0.054 -11.71023 .0938304 + 104 | -1.727426 4.815089 -0.36 0.720 -11.16985 7.714993 + 105 | 4.030969 4.586656 0.88 0.380 -4.963492 13.02543 + 107 | 1.326912 3.079016 0.43 0.667 -4.711059 7.364883 + 108 | .9595956 4.052397 0.24 0.813 -6.987181 8.906372 + 110 | -8.100456 3.786145 -2.14 0.033 -15.52511 -.6758009 + 200 | -3.286007 3.368106 -0.98 0.329 -9.890883 3.31887 + 201 | -8.770838 2.90805 -3.02 0.003 -14.47354 -3.068134 + 202 | -3.178696 3.16972 -1.00 0.316 -9.394536 3.037144 + 204 | 4.673794 4.665272 1.00 0.317 -4.474834 13.82242 + 205 | 7.262925 4.840891 1.50 0.134 -2.230093 16.75594 + 206 | -8.862186 3.03988 -2.92 0.004 -14.82341 -2.900962 + 207 | 2.38051 3.328779 0.72 0.475 -4.147246 8.908266 + 208 | -1.377004 3.087546 -0.45 0.656 -7.431701 4.677693 + 209 | -9.954803 3.039551 -3.28 0.001 -15.91538 -3.994224 + 299 | -3.252628 7.021868 -0.46 0.643 -17.02256 10.5173 + 300 | 3.535302 5.360532 0.66 0.510 -6.976734 14.04734 + 301 | 3.320684 3.331067 1.00 0.319 -3.211559 9.852927 + 302 | 3.561328 3.38529 1.05 0.293 -3.077248 10.1999 + 321 | 2.174037 3.181917 0.68 0.495 -4.065721 8.413796 + 322 | -.5749385 3.012222 -0.19 0.849 -6.481926 5.332049 + 323 | 4.63936 4.127173 1.12 0.261 -3.454052 12.73277 + 324 | -1.228248 3.430761 -0.36 0.720 -7.955992 5.499495 + 325 | 3.943342 3.429137 1.15 0.250 -2.781218 10.6679 + 331 | 7.33772 3.375184 2.17 0.030 .7189621 13.95648 + 332 | .2702011 3.02767 0.09 0.929 -5.667079 6.207481 + 333 | -1.081055 3.104341 -0.35 0.728 -7.168688 5.006578 + 334 | 6.015633 3.714143 1.62 0.105 -1.267825 13.29909 + 335 | -1.419659 3.153452 -0.45 0.653 -7.603598 4.764279 + 336 | 5.697672 3.400816 1.68 0.094 -.9713499 12.36669 + 341 | -.8860556 3.107608 -0.29 0.776 -6.980096 5.207984 + 342 | 1.811651 4.086089 0.44 0.658 -6.201195 9.824497 + 343 | .6544869 4.068575 0.16 0.872 -7.324015 8.632988 + 344 | -4.276777 3.951595 -1.08 0.279 -12.02588 3.472325 + 398 | 3.540608 3.28621 1.08 0.281 -2.90367 9.984887 + 399 | .6669418 3.467967 0.19 0.848 -6.133764 7.467648 + 400 | -1.67706 3.556032 -0.47 0.637 -8.650462 5.296343 + 401 | 15.26211 5.708481 2.67 0.008 4.067744 26.45648 + 402 | 6.195138 4.994686 1.24 0.215 -3.599473 15.98975 + 403 | -2.187023 3.449415 -0.63 0.526 -8.951348 4.577301 + 404 | 7.611708 5.120534 1.49 0.137 -2.429692 17.65311 + 405 | 3.07828 5.887376 0.52 0.601 -8.466901 14.62346 + 498 | .1495832 4.464478 0.03 0.973 -8.605286 8.904453 + 499 | 1.0617 6.072371 0.17 0.861 -10.84626 12.96966 + 500 | -5.209685 3.024882 -1.72 0.085 -11.1415 .7221282 + 501 | -2.074547 3.071304 -0.68 0.499 -8.097393 3.9483 + 502 | -2.549638 3.072326 -0.83 0.407 -8.574489 3.475213 + 503 | -2.253529 2.987243 -0.75 0.451 -8.111532 3.604473 + 504 | -4.903095 3.019864 -1.62 0.105 -10.82507 1.018878 + 505 | .2857333 3.235353 0.09 0.930 -6.058814 6.630281 + 506 | -2.947001 3.096729 -0.95 0.341 -9.019706 3.125704 + 508 | -.1388951 3.398655 -0.04 0.967 -6.803678 6.525888 + 529 | 35.34563 4.941145 7.15 0.000 25.65601 45.03524 + 530 | .0743331 2.978527 0.02 0.980 -5.766578 5.915244 + 599 | -3.593629 4.147595 -0.87 0.386 -11.72709 4.53983 + 600 | 6.779675 6.450926 1.05 0.293 -5.870633 19.42998 + 601 | 3.689026 3.281486 1.12 0.261 -2.745989 10.12404 + 602 | -.9654716 2.850431 -0.34 0.735 -6.555184 4.624241 + 603 | -.1919762 3.438134 -0.06 0.955 -6.934179 6.550227 + 604 | -1.350766 4.065525 -0.33 0.740 -9.323286 6.621755 + 606 | 1.055484 3.406959 0.31 0.757 -5.625584 7.736553 + 607 | 1.380937 3.138762 0.44 0.660 -4.774194 7.536069 + 609 | -3.478893 3.676279 -0.95 0.344 -10.6881 3.730313 + 698 | .8400243 4.55206 0.18 0.854 -8.086593 9.766642 + 699 | .506435 3.458739 0.15 0.884 -6.276174 7.289044 + 700 | .7318982 3.94937 0.19 0.853 -7.012841 8.476637 + 701 | 1.471238 4.855184 0.30 0.762 -8.049808 10.99228 + 703 | 1.84514 3.297417 0.56 0.576 -4.621117 8.311396 + 704 | 1.107582 3.991591 0.28 0.781 -6.719954 8.935118 + 705 | -.3364463 3.246912 -0.10 0.917 -6.703661 6.030769 + 707 | 7.130503 4.270039 1.67 0.095 -1.243072 15.50408 + 708 | -5.871123 3.057599 -1.92 0.055 -11.86709 .1248481 + 709 | 1.983347 3.063653 0.65 0.517 -4.024497 7.99119 + 710 | 4.298417 3.936056 1.09 0.275 -3.420215 12.01705 + 711 | .386052 3.452803 0.11 0.911 -6.384917 7.157021 + 798 | -6.045683 3.875261 -1.56 0.119 -13.64509 1.553727 + 799 | -4.897388 3.931218 -1.25 0.213 -12.60653 2.811757 + 800 | -2.114046 3.085299 -0.69 0.493 -8.164336 3.936245 + 801 | 8.291268 4.541546 1.83 0.068 -.6147327 17.19727 + 802 | 4.600032 5.082017 0.91 0.365 -5.365835 14.5659 + 803 | .8756963 3.432856 0.26 0.799 -5.856156 7.607549 + 805 | 2.933172 4.690644 0.63 0.532 -6.26521 12.13155 + 806 | 9.542662 4.94845 1.93 0.054 -.1612798 19.2466 + 807 | 5.267532 3.655427 1.44 0.150 -1.900783 12.43585 + 898 | -.0910331 13.16384 -0.01 0.994 -25.90541 25.72335 + 899 | -7.107154 3.06773 -2.32 0.021 -13.12299 -1.091316 + 1000 | .4791396 3.721795 0.13 0.898 -6.819325 7.777604 + 1001 | -2.922142 3.818778 -0.77 0.444 -10.41079 4.566507 + 1002 | 3.648556 4.090897 0.89 0.373 -4.373719 11.67083 + 1003 | 1.955456 3.211247 0.61 0.543 -4.341819 8.252731 + 1005 | 4.867249 4.434006 1.10 0.272 -3.827865 13.56236 + 1006 | 2.299073 3.510176 0.65 0.513 -4.584406 9.182551 + 1007 | 4.021535 3.41218 1.18 0.239 -2.669771 10.71284 + 1010 | -7.020699 3.056564 -2.30 0.022 -13.01464 -1.026757 + 1098 | -6.433559 4.371455 -1.47 0.141 -15.00601 2.138893 + 1099 | 11.87641 13.47445 0.88 0.378 -14.54708 38.29989 + 1200 | -.7460606 3.813871 -0.20 0.845 -8.225086 6.732965 + 1201 | 4.03064 4.038687 1.00 0.318 -3.889252 11.95053 + 1202 | 7.242441 4.286763 1.69 0.091 -1.163927 15.64881 + 1203 | 2.198146 3.500814 0.63 0.530 -4.666973 9.063265 + 1204 | 15.45769 7.011127 2.20 0.028 1.708828 29.20656 + 1205 | 9.476997 6.277425 1.51 0.131 -2.833073 21.78707 + 1206 | -1.581196 3.272085 -0.48 0.629 -7.997776 4.835384 + 1207 | 3.581708 3.668426 0.98 0.329 -3.612098 10.77551 + 1208 | .4292144 2.962178 0.14 0.885 -5.379636 6.238065 + 1209 | -1.278674 3.047877 -0.42 0.675 -7.25558 4.698232 + 1210 | .368636 3.251767 0.11 0.910 -6.0081 6.745372 + 1211 | .0770812 3.682517 0.02 0.983 -7.144358 7.298521 + 1299 | -.7932428 5.283766 -0.15 0.881 -11.15474 9.568255 + 1300 | -3.255333 3.335491 -0.98 0.329 -9.796252 3.285587 + 1301 | .9011497 4.463639 0.20 0.840 -7.852076 9.654375 + 1302 | -5.229617 3.157398 -1.66 0.098 -11.42129 .9620609 + 1303 | -4.181825 3.253818 -1.29 0.199 -10.56258 2.198934 + 1304 | -1.857291 2.897708 -0.64 0.522 -7.539714 3.825132 + 1305 | -.7296891 3.660476 -0.20 0.842 -7.907906 6.448528 + 1399 | -4.565168 4.9156 -0.93 0.353 -14.20469 5.074354 + 1400 | 1.173383 3.256491 0.36 0.719 -5.212618 7.559383 + 1401 | -.1600867 3.30627 -0.05 0.961 -6.643703 6.323529 + 1403 | -.5927268 3.51868 -0.17 0.866 -7.49288 6.307426 + 1404 | -4.328719 4.011932 -1.08 0.281 -12.19614 3.538705 + 1405 | 7.830613 4.874278 1.61 0.108 -1.727878 17.3891 + 1406 | -3.489717 3.17072 -1.10 0.271 -9.707519 2.728085 + 1407 | 2.124327 4.579219 0.46 0.643 -6.85555 11.1042 + 1408 | -7.848704 3.242096 -2.42 0.016 -14.20648 -1.490933 + 1409 | -2.329239 4.009286 -0.58 0.561 -10.19147 5.532996 + 1410 | 1.691383 3.622719 0.47 0.641 -5.412793 8.795558 + 1499 | -.6300805 5.792135 -0.11 0.913 -11.98849 10.72833 + 1500 | -2.714736 3.530976 -0.77 0.442 -9.639002 4.20953 + 1501 | 1.529372 3.019138 0.51 0.613 -4.391177 7.449921 + 1502 | 5.093997 3.278259 1.55 0.120 -1.33469 11.52268 + 1504 | 3.164199 4.223901 0.75 0.454 -5.118898 11.4473 + 1505 | 3.357494 4.233958 0.79 0.428 -4.945325 11.66031 + 1507 | 2.484552 5.590533 0.44 0.657 -8.478518 13.44762 + 1520 | -1.322215 3.185021 -0.42 0.678 -7.568062 4.923632 + 1521 | 2.196138 3.307139 0.66 0.507 -4.289182 8.681458 + 1522 | 14.61866 3.776222 3.87 0.000 7.213469 22.02386 + 1523 | -.3457852 3.124869 -0.11 0.912 -6.473674 5.782104 + 1524 | 10.89306 5.159028 2.11 0.035 .7761724 21.00994 + 1525 | -.8128291 3.135907 -0.26 0.796 -6.962362 5.336704 + 1526 | 2.651582 3.493968 0.76 0.448 -4.200113 9.503276 + 1599 | 5.615669 5.906284 0.95 0.342 -5.966592 17.19793 + 1600 | 6.776346 4.933936 1.37 0.170 -2.899135 16.45183 + 1602 | .705203 3.966754 0.18 0.859 -7.073627 8.484033 + 1603 | -11.412 4.624084 -2.47 0.014 -20.47985 -2.344138 + 1604 | 1.675804 4.772022 0.35 0.725 -7.682162 11.03377 + 1605 | .1249067 3.410785 0.04 0.971 -6.563664 6.813477 + 1606 | 1.061414 3.941365 0.27 0.788 -6.667628 8.790456 + 1608 | 6.259743 3.084245 2.03 0.043 .2115199 12.30797 + 1609 | 2.415459 3.321239 0.73 0.467 -4.097511 8.92843 + 1610 | -1.897074 3.635612 -0.52 0.602 -9.026532 5.232384 + 1611 | 15.47716 7.94818 1.95 0.052 -.1092702 31.06359 + 1612 | 2.139129 3.207641 0.67 0.505 -4.151075 8.429333 + 1614 | 3.330797 4.271718 0.78 0.436 -5.046069 11.70766 + 1615 | 1.225599 3.751766 0.33 0.744 -6.131637 8.582836 + 1616 | .6655637 3.270094 0.20 0.839 -5.747112 7.07824 + 1617 | -2.718195 3.513893 -0.77 0.439 -9.608961 4.172571 + 1619 | -3.740089 3.349684 -1.12 0.264 -10.30884 2.828662 + 1620 | 11.2295 7.698744 1.46 0.145 -3.86779 26.32678 + 1698 | 6.262909 6.200254 1.01 0.313 -5.895828 18.42165 + 1699 | 7.55507 3.433981 2.20 0.028 .8210108 14.28913 + 1700 | 7.439949 4.417701 1.68 0.092 -1.223191 16.10309 + 1701 | 6.262869 6.052022 1.03 0.301 -5.605185 18.13092 + 1704 | 11.95784 10.30032 1.16 0.246 -8.241155 32.15684 + 1705 | -6.850418 7.020145 -0.98 0.329 -20.61697 6.916131 + 1706 | .544364 3.224949 0.17 0.866 -5.779781 6.868509 + 1707 | 1.422604 3.353344 0.42 0.671 -5.153324 7.998533 + 1708 | 7.129064 4.25994 1.67 0.094 -1.224706 15.48283 + 1709 | 12.30199 5.717793 2.15 0.032 1.089364 23.51462 + 1798 | 1.948916 4.040877 0.48 0.630 -5.975269 9.873101 + 1799 | -6.179798 6.351974 -0.97 0.331 -18.63606 6.276463 + 1800 | 11.46299 9.363416 1.22 0.221 -6.89873 29.82471 + 1802 | .7162965 3.425836 0.21 0.834 -6.00179 7.434383 + 1803 | -.1008055 3.55204 -0.03 0.977 -7.066378 6.864767 + 1804 | -.9116616 4.062777 -0.22 0.822 -8.878794 7.055471 + 1806 | 18.80008 8.888313 2.12 0.035 1.370037 36.23011 + 1807 | -6.054508 2.978379 -2.03 0.042 -11.89513 -.2138873 + 1808 | 12.69009 9.062337 1.40 0.162 -5.081212 30.46139 + 1899 | -9.944247 3.061046 -3.25 0.001 -15.94698 -3.941516 + 1900 | 1.31354 4.195964 0.31 0.754 -6.914772 9.541852 + 1901 | 2.49222 3.17433 0.79 0.432 -3.732662 8.717102 + 1902 | 5.999822 3.686845 1.63 0.104 -1.230104 13.22975 + 1905 | -.7860027 3.568233 -0.22 0.826 -7.783331 6.211326 + 1906 | 4.414676 3.329912 1.33 0.185 -2.115304 10.94466 + 1907 | 9.239737 5.902096 1.57 0.118 -2.334311 20.81379 + 1908 | -.5790866 4.968521 -0.12 0.907 -10.32239 9.164215 + 1909 | 5.927111 5.415429 1.09 0.274 -4.692579 16.5468 + 1910 | -2.681612 3.503874 -0.77 0.444 -9.552731 4.189507 + 1911 | 1.237086 3.805971 0.33 0.745 -6.226448 8.70062 + 1912 | -16.34122 3.58071 -4.56 0.000 -23.36301 -9.319422 + 1914 | -5.900801 3.585902 -1.65 0.100 -12.93278 1.131175 + 1915 | 25.93315 5.568963 4.66 0.000 15.01237 36.85392 + 1919 | 6.066417 5.631914 1.08 0.282 -4.977802 17.11064 + 1920 | 6.474772 3.629421 1.78 0.075 -.6425459 13.59209 + 1925 | .5542439 3.070951 0.18 0.857 -5.46791 6.576398 + 1926 | 2.504018 3.874786 0.65 0.518 -5.094463 10.1025 + 1927 | .7742345 4.238497 0.18 0.855 -7.537485 9.085954 + 1929 | 3.519642 3.82703 0.92 0.358 -3.985188 11.02447 + 1999 | 11.8298 13.3807 0.88 0.377 -14.40984 38.06944 + 2000 | -1.72432 3.954813 -0.44 0.663 -9.479733 6.031092 + 2001 | 6.168444 6.350649 0.97 0.331 -6.285219 18.62211 + 2002 | 1.293586 3.423178 0.38 0.706 -5.419287 8.006459 + 2003 | 4.327908 3.60805 1.20 0.230 -2.7475 11.40332 + 2004 | 6.792235 3.083977 2.20 0.028 .7445364 12.83993 + 2005 | 10.58828 6.689168 1.58 0.114 -2.529224 23.70578 + 2006 | 16.14696 3.329468 4.85 0.000 9.617857 22.67607 + 2007 | -1.896196 3.216468 -0.59 0.556 -8.20371 4.411318 + 2008 | 15.97036 3.117776 5.12 0.000 9.856385 22.08434 + 2009 | 8.235419 5.361363 1.54 0.125 -2.278248 18.74909 + 2010 | -11.80985 3.012204 -3.92 0.000 -17.7168 -5.9029 + 2011 | .6184409 3.398005 0.18 0.856 -6.045068 7.28195 + 2012 | -3.298219 3.077943 -1.07 0.284 -9.334086 2.737647 + 2013 | .0130093 4.800159 0.00 0.998 -9.400133 9.426152 + 2014 | 4.80997 4.088697 1.18 0.240 -3.207991 12.82793 + 2015 | 1.522455 4.134776 0.37 0.713 -6.585867 9.630776 + 2030 | -1.419086 4.890977 -0.29 0.772 -11.01032 8.172151 + 2099 | 4.280926 5.051564 0.85 0.397 -5.625223 14.18708 + 2100 | -5.167368 3.689418 -1.40 0.161 -12.40234 2.067605 + 2101 | 1.321298 3.214375 0.41 0.681 -4.982111 7.624708 + 2102 | 3.160449 2.952819 1.07 0.285 -2.630047 8.950946 + 2103 | 1.194744 3.230042 0.37 0.712 -5.139388 7.528877 + 2104 | .7384299 3.52649 0.21 0.834 -6.177039 7.653899 + 2105 | -4.64726 3.964678 -1.17 0.241 -12.42202 3.127499 + 2199 | -10.28868 3.12413 -3.29 0.001 -16.41512 -4.162244 + 9999 | 3.664845 3.589147 1.02 0.307 -3.373494 10.70318 + | + house_administration | 1.489972 1.174034 1.27 0.205 -.8123153 3.79226 + house_agriculture | 2.335922 1.516418 1.54 0.124 -.6377826 5.309627 + house_appropriations | -4.006501 2.631127 -1.52 0.128 -9.166157 1.153155 + house_armedservices | -2.603747 1.793126 -1.45 0.147 -6.120078 .912584 + house_budget | -7.066529 2.030235 -3.48 0.001 -11.04783 -3.085225 + house_dc | -7.907501 3.0284 -2.61 0.009 -13.84621 -1.96879 + house_educlabor | -3.772479 .7783217 -4.85 0.000 -5.298772 -2.246185 + house_energycommerce | -1.794564 .5477976 -3.28 0.001 -2.868798 -.7203289 + house_foreignaffairs | 1.725342 1.456605 1.18 0.236 -1.13107 4.581754 + house_governmentop | -2.22868 1.403941 -1.59 0.113 -4.981818 .5244574 + house_intelligence | 6.791779 2.511436 2.70 0.007 1.866837 11.71672 + house_interior | 1.423386 1.78337 0.80 0.425 -2.073814 4.920587 + house_judiciary | .0829648 .70691 0.12 0.907 -1.30329 1.46922 + house_mmf | -2.492557 2.200547 -1.13 0.257 -6.807845 1.82273 + house_pocs | -3.565488 2.879617 -1.24 0.216 -9.212436 2.081459 + house_pwt | 2.000522 1.922018 1.04 0.298 -1.768568 5.769612 + house_rules | 7.11046 3.621594 1.96 0.050 .0084915 14.21243 + house_sst | 13.28669 3.561728 3.73 0.000 6.302115 20.27126 + house_smallbusi | -3.673809 1.80497 -2.04 0.042 -7.213367 -.1342514 + house_soc | -1.836986 4.073495 -0.45 0.652 -9.825136 6.151165 + house_veterans | .2544165 1.736718 0.15 0.884 -3.151298 3.660131 + house_waysandmeans | .2057357 .5410453 0.38 0.704 -.8552575 1.266729 +house_naturalresources | .0109989 1.665835 0.01 0.995 -3.255714 3.277712 + house_bfs | -2.485511 .9003837 -2.76 0.006 -4.251169 -.7198532 + house_eeo | 1.419819 2.776547 0.51 0.609 -4.025006 6.864644 + house_govreform | 1.411137 .8990398 1.57 0.117 -.3518855 3.17416 + house_ir | 1.367548 1.111321 1.23 0.219 -.8117594 3.546855 + house_natsecur | -.384833 1.634433 -0.24 0.814 -3.589966 2.8203 + house_oversight | -3.37963 1.250172 -2.70 0.007 -5.831225 -.9280337 + house_resources | 1.769694 1.676204 1.06 0.291 -1.517354 5.056741 + house_science | -1.76517 1.294612 -1.36 0.173 -4.303913 .7735738 + house_transp | .6133287 1.086784 0.56 0.573 -1.517862 2.74452 + house_homeland | .3559115 1.786581 0.20 0.842 -3.147585 3.859408 + _cons | 14.82728 2.874064 5.16 0.000 9.19122 20.46333 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,278 1 0 1 1 + + +j = 4 k = 3 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 11.12081 18.1168 .6138395 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(6,677 missing values generated) +(54,574 missing values generated) +(47,897 real changes made) +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==200 & tag_bill==1, robust cluster(group_sponsor) +(sum of wgt is 52,070.9054433107) + +Linear regression Number of obs = 26,088 + F(267, 2120) = . + Prob > F = . + R-squared = 0.1997 + Root MSE = 22.505 + + (Std. Err. adjusted for 2,121 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 2.90496 .8196484 3.54 0.000 1.297561 4.512359 + | + v2 | + 102 | 2.820952 2.424947 1.16 0.245 -1.934571 7.576476 + 103 | -2.927314 1.615002 -1.81 0.070 -6.094469 .2398403 + 104 | -3.730401 1.985166 -1.88 0.060 -7.623477 .1626754 + 105 | -1.352221 2.101193 -0.64 0.520 -5.472837 2.768396 + 106 | 1.982899 1.912496 1.04 0.300 -1.767665 5.733464 + 107 | 1.027544 1.820368 0.56 0.572 -2.542349 4.597437 + 108 | -.7459785 2.377385 -0.31 0.754 -5.408229 3.916272 + 109 | -1.511156 1.600739 -0.94 0.345 -4.650339 1.628027 + 110 | -9.65625 1.91979 -5.03 0.000 -13.42112 -5.891381 + 111 | -8.842481 1.795352 -4.93 0.000 -12.36332 -5.321646 + | + minor | + 101 | 24.26968 7.512774 3.23 0.001 9.536506 39.00286 + 103 | 16.13303 10.80857 1.49 0.136 -5.063484 37.32955 + 104 | 10.43174 7.453948 1.40 0.162 -4.186079 25.04955 + 105 | 5.203091 3.110084 1.67 0.094 -.8960442 11.30223 + 107 | 12.51175 3.215515 3.89 0.000 6.205852 18.81764 + 108 | 23.48661 9.119489 2.58 0.010 5.60253 41.37069 + 110 | 1.673573 4.29025 0.39 0.697 -6.739967 10.08711 + 200 | 19.38868 7.178809 2.70 0.007 5.310438 33.46693 + 201 | 16.0769 12.50744 1.29 0.199 -8.451238 40.60504 + 202 | 17.62252 11.1488 1.58 0.114 -4.241205 39.48625 + 204 | 13.63473 8.193167 1.66 0.096 -2.432751 29.70222 + 205 | 16.4483 8.577796 1.92 0.055 -.3734744 33.27008 + 206 | 10.9956 4.274787 2.57 0.010 2.612386 19.37882 + 207 | 3.889571 3.066381 1.27 0.205 -2.123859 9.903 + 208 | 11.53369 4.15527 2.78 0.006 3.384856 19.68252 + 209 | -1.222172 3.24941 -0.38 0.707 -7.594536 5.150193 + 299 | 27.70621 13.56154 2.04 0.041 1.110901 54.30151 + 300 | 23.18696 8.693196 2.67 0.008 6.138872 40.23504 + 301 | 17.76764 4.414453 4.02 0.000 9.11053 26.42475 + 302 | 19.17641 3.509452 5.46 0.000 12.29408 26.05874 + 321 | 28.72959 4.379105 6.56 0.000 20.1418 37.31738 + 322 | 25.73753 5.046056 5.10 0.000 15.84179 35.63327 + 323 | 22.95649 5.031844 4.56 0.000 13.08862 32.82436 + 324 | 6.009631 4.280925 1.40 0.161 -2.38562 14.40488 + 325 | 24.86389 5.771238 4.31 0.000 13.54601 36.18177 + 331 | 40.42513 3.821819 10.58 0.000 32.93022 47.92004 + 332 | 37.55189 4.805957 7.81 0.000 28.12701 46.97677 + 333 | 41.32508 6.422191 6.43 0.000 28.73063 53.91954 + 334 | 28.868 6.033028 4.78 0.000 17.03672 40.69927 + 335 | 19.93535 7.557038 2.64 0.008 5.115362 34.75533 + 336 | 32.09172 4.761431 6.74 0.000 22.75416 41.42928 + 341 | 24.74974 7.695007 3.22 0.001 9.659193 39.8403 + 342 | 33.46674 14.80938 2.26 0.024 4.424305 62.50917 + 343 | 17.10701 6.833313 2.50 0.012 3.706317 30.50771 + 344 | 41.33911 10.9293 3.78 0.000 19.90585 62.77238 + 398 | 31.85046 6.471894 4.92 0.000 19.15853 44.54238 + 399 | 21.70048 7.219371 3.01 0.003 7.542688 35.85827 + 400 | 12.33686 4.107782 3.00 0.003 4.281155 20.39256 + 401 | 17.16467 5.368309 3.20 0.001 6.63697 27.69237 + 402 | 18.19752 3.500634 5.20 0.000 11.33249 25.06256 + 403 | 16.08419 4.61599 3.48 0.001 7.031845 25.13653 + 404 | 23.95963 3.46101 6.92 0.000 17.17231 30.74696 + 405 | 9.665507 6.9068 1.40 0.162 -3.879305 23.21032 + 498 | 17.82298 4.988256 3.57 0.000 8.040591 27.60537 + 499 | 13.47137 4.654359 2.89 0.004 4.343783 22.59896 + 500 | 9.283949 5.196982 1.79 0.074 -.9077662 19.47566 + 501 | 3.488446 4.787016 0.73 0.466 -5.899293 12.87618 + 502 | 24.46426 7.628894 3.21 0.001 9.503364 39.42516 + 503 | 11.80621 3.240926 3.64 0.000 5.450479 18.16193 + 504 | 23.97774 12.98888 1.85 0.065 -1.494542 49.45002 + 505 | -.7547954 2.890687 -0.26 0.794 -6.423675 4.914084 + 506 | 6.998382 5.792086 1.21 0.227 -4.360383 18.35715 + 508 | 19.22918 5.834743 3.30 0.001 7.786766 30.6716 + 529 | 15.63169 5.003826 3.12 0.002 5.818773 25.44461 + 530 | 13.50017 3.779245 3.57 0.000 6.088753 20.91158 + 599 | 2.188528 6.278766 0.35 0.727 -10.12466 14.50171 + 600 | 6.090183 3.401305 1.79 0.074 -.5800607 12.76043 + 601 | 19.92248 3.71455 5.36 0.000 12.63793 27.20702 + 602 | 19.10169 3.598842 5.31 0.000 12.04406 26.15932 + 603 | 34.09429 8.661514 3.94 0.000 17.10834 51.08024 + 604 | 6.594049 8.20377 0.80 0.422 -9.49423 22.68233 + 606 | 15.41378 4.791547 3.22 0.001 6.017155 24.8104 + 607 | 21.5886 5.505463 3.92 0.000 10.79192 32.38527 + 609 | 14.1304 6.087043 2.32 0.020 2.193201 26.0676 + 698 | -1.017312 9.95092 -0.10 0.919 -20.5319 18.49727 + 699 | 4.819735 5.493056 0.88 0.380 -5.952607 15.59208 + 700 | 13.171 4.137634 3.18 0.001 5.05675 21.28524 + 701 | 20.46012 5.547387 3.69 0.000 9.581229 31.33901 + 703 | 6.107809 3.468465 1.76 0.078 -.6941411 12.90976 + 704 | 14.12665 5.049681 2.80 0.005 4.2238 24.02949 + 705 | 3.708248 3.933194 0.94 0.346 -4.005075 11.42157 + 707 | 5.512464 7.675244 0.72 0.473 -9.539331 20.56426 + 708 | 24.70019 8.448051 2.92 0.003 8.132853 41.26752 + 709 | 12.63202 3.14586 4.02 0.000 6.462722 18.80131 + 710 | 11.90754 4.763002 2.50 0.012 2.56689 21.24818 + 711 | 20.50861 4.765924 4.30 0.000 11.16224 29.85499 + 798 | 13.96145 6.843697 2.04 0.041 .5403915 27.38252 + 799 | 25.61606 4.289868 5.97 0.000 17.20327 34.02885 + 800 | 6.63804 4.504093 1.47 0.141 -2.194864 15.47094 + 801 | 7.983143 4.442986 1.80 0.073 -.7299229 16.69621 + 802 | 11.67839 3.96317 2.95 0.003 3.906285 19.4505 + 803 | 7.962101 3.434959 2.32 0.021 1.225859 14.69834 + 805 | -.0984633 3.701594 -0.03 0.979 -7.357598 7.160671 + 806 | 17.58453 4.093975 4.30 0.000 9.555902 25.61316 + 807 | 23.87467 4.619245 5.17 0.000 14.81594 32.93339 + 898 | 3.210792 9.207128 0.35 0.727 -14.84516 21.26674 + 899 | -3.037021 7.886239 -0.39 0.700 -18.5026 12.42855 + 1000 | 13.10958 4.327963 3.03 0.002 4.622078 21.59707 + 1001 | 30.65203 4.206913 7.29 0.000 22.40192 38.90214 + 1002 | 15.61711 4.156667 3.76 0.000 7.465542 23.76869 + 1003 | 14.981 3.37085 4.44 0.000 8.370484 21.59152 + 1005 | 11.70617 5.43778 2.15 0.031 1.042233 22.37012 + 1006 | 28.3461 4.542023 6.24 0.000 19.43882 37.25339 + 1007 | 12.24397 3.53199 3.47 0.001 5.317438 19.17049 + 1010 | 15.46639 7.687055 2.01 0.044 .391428 30.54134 + 1098 | 13.68179 9.715714 1.41 0.159 -5.371539 32.73512 + 1099 | 12.60585 13.83299 0.91 0.362 -14.52179 39.7335 + 1200 | 9.013674 5.825238 1.55 0.122 -2.410105 20.43745 + 1201 | 20.01946 4.276384 4.68 0.000 11.63311 28.40581 + 1202 | 17.74364 4.266705 4.16 0.000 9.37627 26.111 + 1203 | 9.780464 3.619553 2.70 0.007 2.682219 16.87871 + 1204 | 12.88454 3.804165 3.39 0.001 5.424253 20.34482 + 1205 | 7.313979 3.882834 1.88 0.060 -.3005824 14.92854 + 1206 | 23.22816 4.553086 5.10 0.000 14.29917 32.15714 + 1207 | 19.96991 3.917254 5.10 0.000 12.28785 27.65197 + 1208 | 25.31868 5.357271 4.73 0.000 14.81262 35.82473 + 1209 | 19.55315 3.849991 5.08 0.000 12.00299 27.1033 + 1210 | 11.71585 3.310483 3.54 0.000 5.223712 18.20798 + 1211 | 18.33864 4.543119 4.04 0.000 9.4292 27.24807 + 1299 | 27.62938 5.9373 4.65 0.000 15.98583 39.27292 + 1300 | 15.01621 7.801625 1.92 0.054 -.283426 30.31585 + 1301 | 39.57544 6.078555 6.51 0.000 27.65488 51.49599 + 1302 | 8.19675 6.381919 1.28 0.199 -4.318726 20.71223 + 1303 | 20.12402 6.277098 3.21 0.001 7.814109 32.43394 + 1304 | 27.81901 6.224451 4.47 0.000 15.61234 40.02568 + 1305 | 14.6553 11.73706 1.25 0.212 -8.362051 37.67265 + 1399 | 10.12853 7.446473 1.36 0.174 -4.474621 24.73169 + 1400 | 14.10714 3.974067 3.55 0.000 6.313661 21.90062 + 1401 | 22.02493 4.569834 4.82 0.000 13.06311 30.98676 + 1403 | 31.64577 5.283772 5.99 0.000 21.28385 42.00769 + 1404 | 10.65891 5.873715 1.81 0.070 -.8599337 22.17776 + 1405 | 24.25977 7.891576 3.07 0.002 8.783729 39.73581 + 1406 | 14.99006 5.129774 2.92 0.004 4.930145 25.04997 + 1407 | 27.56684 8.277025 3.33 0.001 11.3349 43.79878 + 1408 | 26.30506 10.41158 2.53 0.012 5.887081 46.72303 + 1409 | 36.68156 8.327085 4.41 0.000 20.35145 53.01167 + 1410 | 26.48772 4.906989 5.40 0.000 16.8647 36.11073 + 1499 | 14.15897 6.69561 2.11 0.035 1.028319 27.28962 + 1500 | 12.14082 5.346644 2.27 0.023 1.655605 22.62604 + 1501 | 20.3456 3.8197 5.33 0.000 12.85485 27.83635 + 1502 | 13.48673 3.967619 3.40 0.001 5.705896 21.26756 + 1504 | 13.39268 3.844203 3.48 0.001 5.853878 20.93148 + 1505 | 29.41059 4.020489 7.32 0.000 21.52607 37.2951 + 1507 | 19.74927 6.139061 3.22 0.001 7.710056 31.78848 + 1520 | 7.831473 4.490122 1.74 0.081 -.9740316 16.63698 + 1521 | 18.139 4.211164 4.31 0.000 9.880551 26.39744 + 1522 | 29.30652 4.311789 6.80 0.000 20.85074 37.7623 + 1523 | 18.93197 4.368045 4.33 0.000 10.36587 27.49807 + 1524 | 24.76827 7.374473 3.36 0.001 10.30631 39.23023 + 1525 | 20.5662 4.731557 4.35 0.000 11.28722 29.84517 + 1526 | 23.83865 3.940689 6.05 0.000 16.11063 31.56668 + 1599 | 23.33584 5.059163 4.61 0.000 13.4144 33.25728 + 1600 | 16.27078 5.491885 2.96 0.003 5.500736 27.04083 + 1602 | 4.273833 6.369318 0.67 0.502 -8.216932 16.7646 + 1603 | 7.942414 4.914807 1.62 0.106 -1.695934 17.58076 + 1604 | 23.155 6.263744 3.70 0.000 10.87128 35.43873 + 1605 | 20.21751 8.439048 2.40 0.017 3.667833 36.76719 + 1606 | 9.012364 11.34039 0.79 0.427 -13.2271 31.25183 + 1608 | 17.70719 3.744263 4.73 0.000 10.36437 25.05 + 1609 | 18.73526 4.410928 4.25 0.000 10.08506 27.38545 + 1610 | 20.63835 5.797587 3.56 0.000 9.268801 32.00791 + 1611 | 11.45508 5.297327 2.16 0.031 1.066583 21.84359 + 1612 | 24.55317 5.011859 4.90 0.000 14.72449 34.38184 + 1614 | -4.437203 4.670012 -0.95 0.342 -13.59549 4.721082 + 1615 | 12.67611 3.895002 3.25 0.001 5.037686 20.31453 + 1616 | 6.430352 4.285905 1.50 0.134 -1.974667 14.83537 + 1617 | 19.95483 5.414647 3.69 0.000 9.336255 30.57341 + 1619 | 4.028939 6.618429 0.61 0.543 -8.950354 17.00823 + 1620 | 32.45462 9.862283 3.29 0.001 13.11385 51.79538 + 1698 | 4.580954 6.890319 0.66 0.506 -8.931537 18.09345 + 1699 | 20.63395 4.921556 4.19 0.000 10.98237 30.28554 + 1700 | 24.06142 9.31384 2.58 0.010 5.796203 42.32664 + 1701 | 14.87284 4.509679 3.30 0.001 6.028979 23.7167 + 1704 | 14.30044 7.628147 1.87 0.061 -.6589935 29.25988 + 1705 | 1.140044 11.03745 0.10 0.918 -20.50531 22.7854 + 1706 | 17.02662 4.413055 3.86 0.000 8.372252 25.68099 + 1707 | 16.98654 4.05806 4.19 0.000 9.028348 24.94474 + 1708 | 18.48718 6.229561 2.97 0.003 6.270488 30.70387 + 1709 | 27.18156 4.873642 5.58 0.000 17.62394 36.73918 + 1798 | 30.39226 5.995235 5.07 0.000 18.6351 42.14942 + 1799 | 8.796943 8.783157 1.00 0.317 -8.427562 26.02145 + 1800 | 15.79098 5.436728 2.90 0.004 5.129104 26.45286 + 1802 | 20.29702 4.662836 4.35 0.000 11.1528 29.44123 + 1803 | 24.75968 5.069384 4.88 0.000 14.81819 34.70116 + 1804 | 19.10301 4.4962 4.25 0.000 10.28559 27.92044 + 1806 | 7.656108 4.256053 1.80 0.072 -.6903685 16.00258 + 1807 | 2.227976 3.180427 0.70 0.484 -4.009106 8.465059 + 1808 | 10.68362 4.526416 2.36 0.018 1.806943 19.5603 + 1899 | .8555851 7.096524 0.12 0.904 -13.06129 14.77246 + 1900 | 16.70014 4.154871 4.02 0.000 8.552089 24.84819 + 1901 | 15.68841 4.315391 3.64 0.000 7.225572 24.15126 + 1902 | 29.32253 6.578329 4.46 0.000 16.42188 42.22319 + 1905 | 22.49497 11.48275 1.96 0.050 -.0236678 45.01361 + 1906 | 13.46936 6.809938 1.98 0.048 .1145039 26.82422 + 1907 | 19.759 8.836145 2.24 0.025 2.430576 37.08742 + 1908 | 18.69132 9.174091 2.04 0.042 .7001574 36.68248 + 1909 | 49.70623 7.290522 6.82 0.000 35.40891 64.00355 + 1910 | 46.09033 10.67842 4.32 0.000 25.14905 67.0316 + 1911 | 27.00561 9.707483 2.78 0.005 7.968422 46.04279 + 1912 | -5.499291 4.132212 -1.33 0.183 -13.60291 2.604323 + 1914 | 10.32692 6.082093 1.70 0.090 -1.600569 22.25442 + 1915 | 12.40667 10.81612 1.15 0.251 -8.804644 33.61799 + 1919 | 21.63121 4.471117 4.84 0.000 12.86297 30.39944 + 1920 | 18.82334 4.841319 3.89 0.000 9.329103 28.31757 + 1925 | 31.66543 5.056881 6.26 0.000 21.74846 41.5824 + 1926 | 6.58328 3.61421 1.82 0.069 -.5044868 13.67105 + 1927 | 11.72726 3.701234 3.17 0.002 4.468831 18.98569 + 1929 | 13.15314 4.228936 3.11 0.002 4.859839 21.44643 + 1999 | 18.20501 12.07401 1.51 0.132 -5.47313 41.88316 + 2000 | 8.311606 3.450533 2.41 0.016 1.544823 15.07839 + 2001 | 9.904338 5.163151 1.92 0.055 -.2210333 20.02971 + 2002 | 7.112487 3.616331 1.97 0.049 .020561 14.20441 + 2003 | 27.36725 4.425698 6.18 0.000 18.68809 36.04642 + 2004 | 16.59208 4.928142 3.37 0.001 6.927577 26.25657 + 2005 | -3.437941 4.681177 -0.73 0.463 -12.61812 5.742239 + 2006 | 37.48975 3.523749 10.64 0.000 30.57939 44.40012 + 2007 | 12.72789 5.587984 2.28 0.023 1.769385 23.68639 + 2008 | 24.73656 3.24759 7.62 0.000 18.36776 31.10535 + 2009 | 9.819992 7.399417 1.33 0.185 -4.690883 24.33087 + 2011 | 7.129808 2.933385 2.43 0.015 1.377195 12.88242 + 2012 | 8.848749 3.451803 2.56 0.010 2.079474 15.61802 + 2013 | 6.22924 6.496898 0.96 0.338 -6.511721 18.9702 + 2014 | 6.744124 4.584889 1.47 0.141 -2.247226 15.73547 + 2015 | 22.28396 6.073204 3.67 0.000 10.3739 34.19402 + 2030 | 15.65942 6.714925 2.33 0.020 2.490889 28.82795 + 2099 | 17.03383 4.884633 3.49 0.000 7.45466 26.61301 + 2100 | 5.212012 3.677131 1.42 0.157 -1.999149 12.42317 + 2101 | 19.08847 3.458351 5.52 0.000 12.30635 25.87058 + 2102 | 17.71719 3.344656 5.30 0.000 11.15804 24.27634 + 2103 | 8.712556 3.032105 2.87 0.004 2.766345 14.65877 + 2104 | 12.82015 3.77739 3.39 0.001 5.412372 20.22793 + 2105 | 16.15404 6.871459 2.35 0.019 2.678539 29.62955 + 2199 | 10.28617 8.525683 1.21 0.228 -6.433408 27.00575 + 9999 | 8.410166 3.627407 2.32 0.021 1.296518 15.52381 + | + house_administration | -5.764766 1.789017 -3.22 0.001 -9.273177 -2.256355 + house_agriculture | .6455328 1.740544 0.37 0.711 -2.76782 4.058885 + house_appropriations | -8.874588 1.599553 -5.55 0.000 -12.01145 -5.73773 + house_armedservices | -1.499966 2.336053 -0.64 0.521 -6.081161 3.08123 + house_budget | 3.85871 2.180246 1.77 0.077 -.4169341 8.134355 + house_dc | 15.78998 9.477245 1.67 0.096 -2.795691 34.37565 + house_educlabor | .6448741 1.910727 0.34 0.736 -3.102221 4.391969 + house_energycommerce | 5.798737 1.405437 4.13 0.000 3.042557 8.554917 + house_foreignaffairs | 2.523742 3.111237 0.81 0.417 -3.577653 8.625137 + house_governmentop | 2.708051 2.165432 1.25 0.211 -1.538543 6.954645 + house_intelligence | -.3779577 4.21965 -0.09 0.929 -8.653044 7.897129 + house_interior | -3.336579 2.905529 -1.15 0.251 -9.034565 2.361408 + house_judiciary | -2.936662 1.161714 -2.53 0.012 -5.21488 -.6584437 + house_mmf | 3.964043 3.467083 1.14 0.253 -2.835198 10.76328 + house_pocs | 4.239935 3.954586 1.07 0.284 -3.515339 11.99521 + house_pwt | -1.585963 3.182893 -0.50 0.618 -7.827882 4.655955 + house_rules | -4.697478 1.413458 -3.32 0.001 -7.469387 -1.925569 + house_sst | 12.3912 5.893841 2.10 0.036 .8328871 23.94952 + house_smallbusi | -.3660295 4.650463 -0.08 0.937 -9.485975 8.753916 + house_soc | -3.121768 7.075648 -0.44 0.659 -16.9977 10.75417 + house_veterans | 3.566547 1.950077 1.83 0.068 -.2577176 7.390811 + house_waysandmeans | -2.943761 1.180874 -2.49 0.013 -5.259553 -.6279689 +house_naturalresources | 3.949382 1.925923 2.05 0.040 .1724867 7.726278 + house_bfs | -1.18819 1.440455 -0.82 0.410 -4.013043 1.636663 + house_eeo | -1.489693 3.346378 -0.45 0.656 -8.05222 5.072833 + house_govreform | -.0485935 1.405749 -0.03 0.972 -2.805385 2.708198 + house_ir | 2.240091 2.429358 0.92 0.357 -2.524083 7.004265 + house_natsecur | .9649433 3.201576 0.30 0.763 -5.313614 7.243501 + house_oversight | 2.560716 1.964527 1.30 0.193 -1.291886 6.413318 + house_resources | -6.199623 1.386677 -4.47 0.000 -8.919012 -3.480234 + house_science | 3.132908 2.035249 1.54 0.124 -.8583852 7.124201 + house_transp | 2.518197 1.486444 1.69 0.090 -.396845 5.433239 + house_homeland | -1.531876 1.811731 -0.85 0.398 -5.084832 2.02108 + _cons | 5.669989 2.990572 1.90 0.058 -.194772 11.53475 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,121 1 0 1 1 + + +j = 5 k = 1 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11989 +----------------------+---------------------- NN matches = 3 + Number of obs | 6150 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 15.71586 27.17455 .5783301 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(7,341 missing values generated) +(54,749 missing values generated) +(47,408 real changes made) +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* [aw=wt] if tag_bill==1, robust cluster(group_sponsor) +(sum of wgt is 111,692.431306005) + +Linear regression Number of obs = 55,006 + F(268, 4357) = . + Prob > F = . + R-squared = 0.1138 + Root MSE = 20.743 + + (Std. Err. adjusted for 4,358 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | .6507893 .8598653 0.76 0.449 -1.034984 2.336563 + | + v2 | + 102 | -2.406728 3.866916 -0.62 0.534 -9.987851 5.174395 + 103 | -5.725714 2.073668 -2.76 0.006 -9.791157 -1.660271 + 104 | -5.571139 2.605123 -2.14 0.033 -10.67851 -.4637725 + 105 | -4.925415 2.421919 -2.03 0.042 -9.673608 -.1772216 + 106 | -3.282859 2.58155 -1.27 0.204 -8.34401 1.778292 + 107 | -3.206582 2.5435 -1.26 0.207 -8.193136 1.779971 + 108 | -3.574346 2.505256 -1.43 0.154 -8.485922 1.337231 + 109 | -4.207296 2.366542 -1.78 0.076 -8.846923 .4323301 + 110 | -6.439214 2.235507 -2.88 0.004 -10.82194 -2.056484 + 111 | -9.316587 2.326501 -4.00 0.000 -13.87771 -4.755462 + | + minor | + 101 | 15.91399 7.629216 2.09 0.037 .956847 30.87113 + 103 | -.168933 4.860037 -0.03 0.972 -9.697077 9.359211 + 104 | 4.478662 4.955729 0.90 0.366 -5.237087 14.19441 + 105 | 5.744348 3.666016 1.57 0.117 -1.442908 12.9316 + 107 | 8.53155 3.053456 2.79 0.005 2.545223 14.51788 + 108 | 11.52254 4.44347 2.59 0.010 2.811078 20.234 + 110 | 1.610961 3.91842 0.41 0.681 -6.071135 9.293057 + 200 | 6.990533 4.190294 1.67 0.095 -1.224575 15.20564 + 201 | -1.332797 3.202738 -0.42 0.677 -7.611793 4.946199 + 202 | 10.18484 5.831037 1.75 0.081 -1.246958 21.61664 + 204 | 3.409127 3.685369 0.93 0.355 -3.81607 10.63432 + 205 | 11.81429 6.392889 1.85 0.065 -.7190209 24.34761 + 206 | 2.159039 3.282039 0.66 0.511 -4.275426 8.593503 + 207 | 6.013732 3.302351 1.82 0.069 -.4605557 12.48802 + 208 | 5.918454 3.417102 1.73 0.083 -.7808042 12.61771 + 209 | -1.1973 3.669646 -0.33 0.744 -8.391672 5.997072 + 299 | 20.22984 11.55781 1.75 0.080 -2.429344 42.88903 + 300 | 14.38373 4.679448 3.07 0.002 5.209628 23.55783 + 301 | 14.0534 3.040141 4.62 0.000 8.093179 20.01362 + 302 | 12.97409 3.609525 3.59 0.000 5.897588 20.0506 + 321 | 16.12549 3.435268 4.69 0.000 9.390617 22.86036 + 322 | 18.09176 6.580583 2.75 0.006 5.190469 30.99305 + 323 | 11.27654 4.471965 2.52 0.012 2.509211 20.04386 + 324 | 7.286056 4.314554 1.69 0.091 -1.172664 15.74478 + 325 | 12.26328 5.391008 2.27 0.023 1.694162 22.8324 + 331 | 25.5696 5.546662 4.61 0.000 14.69532 36.44388 + 332 | 12.03198 4.4617 2.70 0.007 3.28478 20.77918 + 333 | 17.23789 4.938708 3.49 0.000 7.555508 26.92027 + 334 | 23.31771 4.837198 4.82 0.000 13.83434 32.80108 + 335 | 8.69405 4.759454 1.83 0.068 -.6369001 18.025 + 336 | 15.34086 3.753144 4.09 0.000 7.98279 22.69893 + 341 | 10.10895 4.268309 2.37 0.018 1.740896 18.47701 + 342 | 13.88014 5.768798 2.41 0.016 2.570357 25.18991 + 343 | 10.2363 4.773264 2.14 0.032 .8782731 19.59432 + 344 | 4.681061 5.805681 0.81 0.420 -6.701027 16.06315 + 398 | 20.29862 6.884717 2.95 0.003 6.801072 33.79616 + 399 | 20.06845 7.209025 2.78 0.005 5.935094 34.2018 + 400 | 5.770111 3.906405 1.48 0.140 -1.888429 13.42865 + 401 | 10.2847 7.205753 1.43 0.154 -3.842239 24.41164 + 402 | 13.92942 4.125321 3.38 0.001 5.841694 22.01715 + 403 | 7.034815 4.906075 1.43 0.152 -2.583588 16.65322 + 404 | 16.84571 4.947224 3.41 0.001 7.146638 26.54479 + 405 | 14.13943 5.423336 2.61 0.009 3.506928 24.77192 + 498 | 9.41874 4.045987 2.33 0.020 1.486549 17.35093 + 499 | 7.769972 4.782285 1.62 0.104 -1.605739 17.14568 + 500 | -.7166164 4.161594 -0.17 0.863 -8.875457 7.442224 + 501 | 3.300284 3.524391 0.94 0.349 -3.609315 10.20988 + 502 | 3.992279 4.4371 0.90 0.368 -4.706694 12.69125 + 503 | 4.527319 2.97727 1.52 0.128 -1.309645 10.36428 + 504 | 3.408749 5.600604 0.61 0.543 -7.571283 14.38878 + 505 | 2.575054 3.733176 0.69 0.490 -4.74387 9.893979 + 506 | .8964597 3.788672 0.24 0.813 -6.531264 8.324184 + 508 | 7.213855 2.994587 2.41 0.016 1.342942 13.08477 + 529 | 23.52879 6.549085 3.59 0.000 10.68925 36.36833 + 530 | 7.914075 3.391389 2.33 0.020 1.265228 14.56292 + 599 | 3.03833 4.59553 0.66 0.509 -5.971247 12.04791 + 600 | 5.457251 3.966886 1.38 0.169 -2.319863 13.23437 + 601 | 11.49865 3.573996 3.22 0.001 4.491801 18.5055 + 602 | 9.0456 6.000739 1.51 0.132 -2.718902 20.8101 + 603 | 5.195111 4.023969 1.29 0.197 -2.693915 13.08414 + 604 | 3.80219 4.828706 0.79 0.431 -5.66453 13.26891 + 606 | 4.536645 4.41165 1.03 0.304 -4.112434 13.18572 + 607 | 12.7653 4.438304 2.88 0.004 4.063961 21.46663 + 609 | 9.495596 4.348139 2.18 0.029 .9710319 18.02016 + 698 | 4.090128 5.882971 0.70 0.487 -7.443487 15.62374 + 699 | 5.72519 4.217546 1.36 0.175 -2.543345 13.99372 + 700 | 6.847368 3.719357 1.84 0.066 -.4444631 14.1392 + 701 | 13.12399 4.104174 3.20 0.001 5.077721 21.17026 + 703 | 9.799072 4.007804 2.44 0.015 1.941739 17.65641 + 704 | 10.95326 5.963401 1.84 0.066 -.7380389 22.64456 + 705 | 7.654603 4.153321 1.84 0.065 -.4880191 15.79722 + 707 | 3.962551 6.132976 0.65 0.518 -8.061201 15.9863 + 708 | .550781 4.118687 0.13 0.894 -7.523941 8.625503 + 709 | 9.615313 2.975165 3.23 0.001 3.782476 15.44815 + 710 | 16.00604 3.0886 5.18 0.000 9.950814 22.06127 + 711 | 13.70241 3.581747 3.83 0.000 6.680366 20.72446 + 798 | 14.85184 4.582338 3.24 0.001 5.868125 23.83555 + 799 | 18.96473 5.288219 3.59 0.000 8.597131 29.33233 + 800 | 7.394679 3.419953 2.16 0.031 .6898324 14.09953 + 801 | 9.948427 4.368069 2.28 0.023 1.38479 18.51206 + 802 | 10.98024 4.011864 2.74 0.006 3.114943 18.84553 + 803 | 7.321701 3.303488 2.22 0.027 .8451842 13.79822 + 805 | 3.092065 3.811551 0.81 0.417 -4.380514 10.56464 + 806 | 11.94346 3.646664 3.28 0.001 4.794143 19.09278 + 807 | 15.50487 4.034246 3.84 0.000 7.595701 23.41405 + 898 | 11.98822 5.882958 2.04 0.042 .4546322 23.52181 + 899 | 1.743235 5.192767 0.34 0.737 -8.437229 11.9237 + 1000 | 10.75794 3.803736 2.83 0.005 3.30068 18.21519 + 1001 | 15.64654 3.961314 3.95 0.000 7.880349 23.41273 + 1002 | 14.88186 3.919919 3.80 0.000 7.196829 22.5669 + 1003 | 11.45493 4.197714 2.73 0.006 3.225273 19.68458 + 1005 | 27.88944 8.209189 3.40 0.001 11.79525 43.98362 + 1006 | 21.83581 4.583446 4.76 0.000 12.84992 30.82169 + 1007 | 9.153192 3.594144 2.55 0.011 2.106842 16.19954 + 1010 | 2.170516 3.157725 0.69 0.492 -4.020231 8.361264 + 1098 | 7.870291 5.150899 1.53 0.127 -2.228091 17.96867 + 1099 | 18.84287 13.1456 1.43 0.152 -6.929184 44.61492 + 1200 | 7.670677 3.948434 1.94 0.052 -.0702615 15.41162 + 1201 | 14.10606 3.564999 3.96 0.000 7.116852 21.09528 + 1202 | 16.46436 4.427582 3.72 0.000 7.784051 25.14467 + 1203 | 11.07267 3.765401 2.94 0.003 3.690569 18.45477 + 1204 | 19.42931 6.237971 3.11 0.002 7.199714 31.65891 + 1205 | 9.667387 3.525895 2.74 0.006 2.75484 16.57993 + 1206 | 8.875193 4.312689 2.06 0.040 .4201301 17.33026 + 1207 | 10.74961 3.939579 2.73 0.006 3.026031 18.47319 + 1208 | 19.61066 5.3448 3.67 0.000 9.13213 30.08918 + 1209 | 10.13074 3.254411 3.11 0.002 3.750442 16.51104 + 1210 | 9.686153 3.250216 2.98 0.003 3.314076 16.05823 + 1211 | 8.945145 3.477544 2.57 0.010 2.127391 15.7629 + 1299 | 9.027572 5.522137 1.63 0.102 -1.798626 19.85377 + 1300 | 7.858215 4.531551 1.73 0.083 -1.025929 16.74236 + 1301 | 7.909867 4.30174 1.84 0.066 -.5237309 16.34346 + 1302 | 8.894667 3.878789 2.29 0.022 1.290269 16.49907 + 1303 | 26.63597 11.87157 2.24 0.025 3.361662 49.91028 + 1304 | 11.44678 3.561472 3.21 0.001 4.464485 18.42908 + 1305 | 14.82469 4.393075 3.37 0.001 6.212025 23.43735 + 1399 | 6.118932 5.412793 1.13 0.258 -4.492895 16.73076 + 1400 | 8.705415 3.44904 2.52 0.012 1.943542 15.46729 + 1401 | 8.993571 3.224812 2.79 0.005 2.6713 15.31584 + 1403 | 14.14989 4.15687 3.40 0.001 6.000312 22.29947 + 1404 | 5.00046 4.25604 1.17 0.240 -3.343542 13.34446 + 1405 | 20.14934 5.182831 3.89 0.000 9.988352 30.31032 + 1406 | 4.785878 3.397615 1.41 0.159 -1.875176 11.44693 + 1407 | 18.20151 4.761772 3.82 0.000 8.866013 27.537 + 1408 | 6.599455 7.39442 0.89 0.372 -7.89737 21.09628 + 1409 | 15.51254 6.37962 2.43 0.015 3.005242 28.01984 + 1410 | 13.58881 4.343783 3.13 0.002 5.072788 22.10484 + 1499 | 8.233481 5.094085 1.62 0.106 -1.753517 18.22048 + 1500 | 4.5271 5.586785 0.81 0.418 -6.42584 15.48004 + 1501 | 12.22907 3.366046 3.63 0.000 5.629907 18.82823 + 1502 | 8.987129 3.203335 2.81 0.005 2.706964 15.26729 + 1504 | 6.308656 3.106099 2.03 0.042 .2191227 12.39819 + 1505 | 17.28186 4.113151 4.20 0.000 9.217986 25.34572 + 1507 | 6.160906 5.525171 1.12 0.265 -4.671239 16.99305 + 1520 | 8.380393 3.453387 2.43 0.015 1.609997 15.15079 + 1521 | 11.75793 3.74634 3.14 0.002 4.413196 19.10266 + 1522 | 23.3401 3.792204 6.15 0.000 15.90546 30.77475 + 1523 | 7.349285 3.726141 1.97 0.049 .0441544 14.65442 + 1524 | 15.74107 5.809757 2.71 0.007 4.350988 27.13115 + 1525 | 6.998611 3.763021 1.86 0.063 -.3788235 14.37605 + 1526 | 14.87575 3.640956 4.09 0.000 7.737623 22.01387 + 1599 | 15.47191 5.32088 2.91 0.004 5.040274 25.90354 + 1600 | 6.199002 3.505402 1.77 0.077 -.6733688 13.07137 + 1602 | 4.038453 3.985438 1.01 0.311 -3.775032 11.85194 + 1603 | 1.690146 3.962776 0.43 0.670 -6.07891 9.459203 + 1604 | 8.240015 5.069214 1.63 0.104 -1.698222 18.17825 + 1605 | 9.958864 5.434757 1.83 0.067 -.6960246 20.61375 + 1606 | 9.045656 4.404073 2.05 0.040 .4114337 17.67988 + 1608 | 8.670026 3.63707 2.38 0.017 1.53952 15.80053 + 1609 | 16.10473 3.189055 5.05 0.000 9.852558 22.3569 + 1610 | 7.993904 3.947506 2.03 0.043 .2547848 15.73302 + 1611 | 26.02146 9.156217 2.84 0.005 8.070622 43.97231 + 1612 | 14.90466 3.59246 4.15 0.000 7.861609 21.94771 + 1614 | 7.520298 4.358999 1.73 0.085 -1.025558 16.06615 + 1615 | 14.48826 6.081263 2.38 0.017 2.565891 26.41063 + 1616 | 2.012424 3.354008 0.60 0.549 -4.563139 8.587986 + 1617 | 3.526391 4.111892 0.86 0.391 -4.535008 11.58779 + 1619 | 1.351085 3.796667 0.36 0.722 -6.092313 8.794483 + 1620 | 18.38126 6.103774 3.01 0.003 6.414763 30.34777 + 1698 | 15.46478 4.721559 3.28 0.001 6.208119 24.72143 + 1699 | 18.81989 3.482793 5.40 0.000 11.99185 25.64794 + 1700 | 14.75471 4.588939 3.22 0.001 5.758052 23.75136 + 1701 | 13.97932 3.508767 3.98 0.000 7.100354 20.85829 + 1704 | 23.47018 5.794861 4.05 0.000 12.1093 34.83105 + 1705 | 6.550886 5.702814 1.15 0.251 -4.629529 17.7313 + 1706 | 15.6116 4.344929 3.59 0.000 7.093329 24.12987 + 1707 | 8.510765 5.909163 1.44 0.150 -3.074199 20.09573 + 1708 | 17.06291 3.755497 4.54 0.000 9.700221 24.42559 + 1709 | 26.08376 4.825796 5.41 0.000 16.62275 35.54478 + 1798 | 19.39341 4.407502 4.40 0.000 10.75246 28.03435 + 1799 | 8.731427 6.103086 1.43 0.153 -3.233726 20.69658 + 1800 | 20.72228 7.11254 2.91 0.004 6.778086 34.66648 + 1802 | 11.41616 3.350144 3.41 0.001 4.848169 17.98414 + 1803 | 14.52848 3.907271 3.72 0.000 6.868239 22.18871 + 1804 | 10.50582 3.387876 3.10 0.002 3.863863 17.14778 + 1806 | 11.43186 4.906154 2.33 0.020 1.813306 21.05042 + 1807 | -.3957133 2.968725 -0.13 0.894 -6.215923 5.424497 + 1808 | 8.561363 5.346762 1.60 0.109 -1.921009 19.04374 + 1899 | -2.303687 3.712403 -0.62 0.535 -9.581885 4.974512 + 1900 | 10.25478 3.328162 3.08 0.002 3.729892 16.77967 + 1901 | 6.769704 3.771386 1.80 0.073 -.6241302 14.16354 + 1902 | 18.43609 4.449926 4.14 0.000 9.711972 27.16021 + 1905 | .4598077 6.312499 0.07 0.942 -11.9159 12.83552 + 1906 | 9.150398 4.259152 2.15 0.032 .8002934 17.5005 + 1907 | 13.17259 6.714374 1.96 0.050 .0090053 26.33618 + 1908 | 12.07425 5.185312 2.33 0.020 1.908401 22.2401 + 1909 | 28.12744 6.934633 4.06 0.000 14.53203 41.72284 + 1910 | 29.34116 10.96755 2.68 0.007 7.839194 50.84314 + 1911 | 9.388356 3.973137 2.36 0.018 1.598986 17.17773 + 1912 | -7.898566 2.854396 -2.77 0.006 -13.49463 -2.302497 + 1914 | 4.480749 3.375916 1.33 0.184 -2.137764 11.09926 + 1915 | 22.62647 6.760783 3.35 0.001 9.371893 35.88104 + 1919 | 15.28935 3.534622 4.33 0.000 8.359691 22.21901 + 1920 | 12.86373 3.010968 4.27 0.000 6.960697 18.76676 + 1925 | 26.90712 10.59328 2.54 0.011 6.138896 47.67534 + 1926 | 12.97795 8.961373 1.45 0.148 -4.590902 30.5468 + 1927 | 1.450968 4.071749 0.36 0.722 -6.531731 9.433667 + 1929 | 5.210377 5.200314 1.00 0.316 -4.984883 15.40564 + 1999 | 21.35103 8.773471 2.43 0.015 4.15057 38.5515 + 2000 | 1.808204 4.902765 0.37 0.712 -7.803709 11.42012 + 2001 | 8.220623 4.568714 1.80 0.072 -.7363807 17.17763 + 2002 | 9.395306 3.188352 2.95 0.003 3.144514 15.6461 + 2003 | 23.52286 4.105749 5.73 0.000 15.4735 31.57221 + 2004 | 10.12822 3.722493 2.72 0.007 2.830238 17.4262 + 2005 | 8.451106 5.562669 1.52 0.129 -2.454554 19.35677 + 2006 | 28.16585 3.331446 8.45 0.000 21.63452 34.69718 + 2007 | 3.422007 3.723617 0.92 0.358 -3.878175 10.72219 + 2008 | 25.87691 2.882362 8.98 0.000 20.22601 31.5278 + 2009 | 13.54508 5.214141 2.60 0.009 3.322715 23.76745 + 2010 | -2.231013 3.244517 -0.69 0.492 -8.591917 4.129891 + 2011 | 6.831407 3.251392 2.10 0.036 .457026 13.20579 + 2012 | 4.936039 3.109029 1.59 0.112 -1.159238 11.03132 + 2013 | 14.3366 6.695666 2.14 0.032 1.209689 27.46351 + 2014 | 9.359739 3.804592 2.46 0.014 1.900804 16.81868 + 2015 | 12.39631 4.088727 3.03 0.002 4.38032 20.41229 + 2030 | 13.72729 5.654982 2.43 0.015 2.640644 24.81393 + 2099 | 12.85624 3.991767 3.22 0.001 5.030346 20.68213 + 2100 | 2.163458 3.47243 0.62 0.533 -4.644271 8.971186 + 2101 | 12.38255 3.255397 3.80 0.000 6.000317 18.76478 + 2102 | 15.73813 2.753045 5.72 0.000 10.34076 21.1355 + 2103 | 9.251446 3.131928 2.95 0.003 3.111273 15.39162 + 2104 | 9.822456 3.150319 3.12 0.002 3.646229 15.99868 + 2105 | 6.049491 5.129766 1.18 0.238 -4.00746 16.10644 + 2199 | -.1073111 5.868204 -0.02 0.985 -11.61198 11.39735 + 9999 | 8.424031 3.281806 2.57 0.010 1.990023 14.85804 + | + house_administration | -3.418569 1.901511 -1.80 0.072 -7.146499 .3093602 + house_agriculture | 1.417013 1.320272 1.07 0.283 -1.171391 4.005418 + house_appropriations | -4.451396 2.567942 -1.73 0.083 -9.485869 .5830768 + house_armedservices | -2.529337 1.530902 -1.65 0.099 -5.530683 .4720095 + house_budget | -1.974993 1.567501 -1.26 0.208 -5.048093 1.098107 + house_dc | -4.199452 4.195649 -1.00 0.317 -12.42506 4.026154 + house_educlabor | .7817718 2.388405 0.33 0.743 -3.900716 5.46426 + house_energycommerce | -.8550457 1.521775 -0.56 0.574 -3.838499 2.128408 + house_foreignaffairs | 2.712149 4.074788 0.67 0.506 -5.276508 10.7008 + house_governmentop | -.60257 1.460856 -0.41 0.680 -3.46659 2.261451 + house_intelligence | -.2744935 2.117508 -0.13 0.897 -4.425887 3.8769 + house_interior | -.3169821 1.804814 -0.18 0.861 -3.855335 3.22137 + house_judiciary | -1.366931 .8590404 -1.59 0.112 -3.051087 .3172249 + house_mmf | .1251292 3.236276 0.04 0.969 -6.219618 6.469876 + house_pocs | -4.484249 2.041526 -2.20 0.028 -8.486678 -.4818206 + house_pwt | -1.108755 1.672468 -0.66 0.507 -4.387643 2.170132 + house_rules | -.1717604 1.863462 -0.09 0.927 -3.825095 3.481574 + house_sst | 3.09145 2.596637 1.19 0.234 -1.99928 8.182179 + house_smallbusi | -4.049652 1.993143 -2.03 0.042 -7.957226 -.142078 + house_soc | 1.61819 4.215573 0.38 0.701 -6.646478 9.882858 + house_veterans | -1.871106 1.540692 -1.21 0.225 -4.891647 1.149435 + house_waysandmeans | -1.009757 1.336488 -0.76 0.450 -3.629953 1.610439 +house_naturalresources | .493602 2.100993 0.23 0.814 -3.625412 4.612616 + house_bfs | -.1287374 1.016583 -0.13 0.899 -2.121756 1.864281 + house_eeo | -2.005347 2.503113 -0.80 0.423 -6.912722 2.902028 + house_govreform | .3042778 .8660085 0.35 0.725 -1.393539 2.002095 + house_ir | 2.878736 1.820764 1.58 0.114 -.6908887 6.44836 + house_natsecur | -1.320486 1.758862 -0.75 0.453 -4.768751 2.127779 + house_oversight | .1179255 1.164415 0.10 0.919 -2.16492 2.400771 + house_resources | -2.089228 1.362526 -1.53 0.125 -4.760473 .582017 + house_science | .1937578 1.219256 0.16 0.874 -2.196605 2.58412 + house_transp | -.991816 1.248996 -0.79 0.427 -3.440484 1.456852 + house_homeland | -2.029096 1.681295 -1.21 0.228 -5.32529 1.267097 + _cons | 9.386369 4.407492 2.13 0.033 .7454424 18.0273 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,358 1 0 1 1 + + +j = 5 k = 2 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6186 +----------------------+---------------------- NN matches = 3 + Number of obs | 2192 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 24.47749 44.63704 .5483673 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(7,341 missing values generated) +(54,749 missing values generated) +(47,408 real changes made) +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==100 & tag_bill==1, robust cluster(group_sponsor) +(sum of wgt is 59,027.2135760784) + +Linear regression Number of obs = 29,363 + F(268, 2264) = . + Prob > F = . + R-squared = 0.1216 + Root MSE = 16.428 + + (Std. Err. adjusted for 2,265 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -1.207823 .5246876 -2.30 0.021 -2.236742 -.1789039 + | + v2 | + 102 | -2.536282 1.040047 -2.44 0.015 -4.575828 -.4967365 + 103 | -2.417316 .9917047 -2.44 0.015 -4.362061 -.4725705 + 104 | -4.567498 1.439186 -3.17 0.002 -7.38976 -1.745236 + 105 | -4.541287 1.234999 -3.68 0.000 -6.963135 -2.119439 + 106 | -4.593964 1.177338 -3.90 0.000 -6.902738 -2.28519 + 107 | -4.059014 1.192277 -3.40 0.001 -6.397085 -1.720943 + 108 | -5.248308 1.060447 -4.95 0.000 -7.327858 -3.168757 + 109 | -5.546774 1.127961 -4.92 0.000 -7.758718 -3.334829 + 110 | -1.409841 1.101641 -1.28 0.201 -3.570171 .7504902 + 111 | -3.754495 1.08921 -3.45 0.001 -5.890449 -1.618542 + | + minor | + 101 | -3.386743 5.122928 -0.66 0.509 -13.43287 6.659382 + 103 | -6.144874 2.818336 -2.18 0.029 -11.67167 -.6180828 + 104 | -4.276296 4.079299 -1.05 0.295 -12.27585 3.72326 + 105 | .104228 3.992611 0.03 0.979 -7.725332 7.933788 + 107 | .3315296 2.961953 0.11 0.911 -5.476896 6.139955 + 108 | 1.362492 4.031802 0.34 0.735 -6.543922 9.268906 + 110 | -9.197288 3.064064 -3.00 0.003 -15.20595 -3.188621 + 200 | -4.136087 3.050447 -1.36 0.175 -10.11805 1.845877 + 201 | -9.39561 2.853208 -3.29 0.001 -14.99079 -3.800433 + 202 | -2.167419 3.025521 -0.72 0.474 -8.100503 3.765664 + 204 | 4.835464 4.511425 1.07 0.284 -4.011495 13.68242 + 205 | 17.01354 8.92496 1.91 0.057 -.4884133 34.5155 + 206 | -9.585891 2.925285 -3.28 0.001 -15.32241 -3.84937 + 207 | 1.073268 3.145962 0.34 0.733 -5.096002 7.242538 + 208 | -3.02014 2.946062 -1.03 0.305 -8.797404 2.757125 + 209 | -9.429907 3.059933 -3.08 0.002 -15.43047 -3.42934 + 299 | -3.889643 7.354223 -0.53 0.597 -18.31136 10.53208 + 300 | -.7475873 3.71499 -0.20 0.841 -8.032728 6.537554 + 301 | 2.926023 3.221737 0.91 0.364 -3.391842 9.243889 + 302 | 1.14477 3.072188 0.37 0.709 -4.87983 7.169369 + 321 | .9926381 3.237707 0.31 0.759 -5.356546 7.341823 + 322 | -1.252507 2.919251 -0.43 0.668 -6.977194 4.47218 + 323 | .6650118 3.798281 0.18 0.861 -6.783464 8.113488 + 324 | -2.612104 3.135939 -0.83 0.405 -8.761719 3.53751 + 325 | 3.860698 3.230968 1.19 0.232 -2.475269 10.19667 + 331 | 5.017739 3.319598 1.51 0.131 -1.492034 11.52751 + 332 | -.1507178 3.03696 -0.05 0.960 -6.106234 5.804798 + 333 | -.780248 3.094953 -0.25 0.801 -6.849489 5.288993 + 334 | 4.627904 3.318825 1.39 0.163 -1.880353 11.13616 + 335 | -3.855282 2.954493 -1.30 0.192 -9.649079 1.938515 + 336 | 2.437282 3.317471 0.73 0.463 -4.06832 8.942884 + 341 | -1.677676 3.052775 -0.55 0.583 -7.664205 4.308854 + 342 | 1.311426 3.94817 0.33 0.740 -6.430984 9.053836 + 343 | .1770577 3.640924 0.05 0.961 -6.962839 7.316955 + 344 | -4.553217 3.601107 -1.26 0.206 -11.61503 2.508598 + 398 | 2.42925 3.228503 0.75 0.452 -3.901884 8.760384 + 399 | .9957084 3.52886 0.28 0.778 -5.92443 7.915847 + 400 | .0170343 3.458852 0.00 0.996 -6.765817 6.799886 + 401 | 5.253217 5.019121 1.05 0.295 -4.589341 15.09577 + 402 | 8.676693 4.471806 1.94 0.052 -.0925729 17.44596 + 403 | -.0924141 4.135625 -0.02 0.982 -8.202425 8.017597 + 404 | 8.034454 6.071134 1.32 0.186 -3.871115 19.94002 + 405 | 5.12378 5.35198 0.96 0.338 -5.371518 15.61908 + 498 | 1.535846 4.134717 0.37 0.710 -6.572385 9.644076 + 499 | -.223886 5.616188 -0.04 0.968 -11.2373 10.78953 + 500 | -7.722081 2.97754 -2.59 0.010 -13.56107 -1.883088 + 501 | -2.446374 2.991849 -0.82 0.414 -8.313425 3.420678 + 502 | -3.766157 2.997323 -1.26 0.209 -9.643944 2.111631 + 503 | -3.685268 2.802704 -1.31 0.189 -9.181405 1.810868 + 504 | -5.611509 2.908151 -1.93 0.054 -11.31443 .0914113 + 505 | .7439151 3.267643 0.23 0.820 -5.663974 7.151804 + 506 | -3.218492 3.050798 -1.05 0.292 -9.201145 2.764161 + 508 | -3.234423 3.008242 -1.08 0.282 -9.133622 2.664776 + 529 | 30.58002 7.125937 4.29 0.000 16.60597 44.55407 + 530 | -1.20452 2.920604 -0.41 0.680 -6.931861 4.522821 + 599 | -.7454987 4.418633 -0.17 0.866 -9.410492 7.919495 + 600 | 4.48757 5.21176 0.86 0.389 -5.732756 14.7079 + 601 | 3.949892 3.468837 1.14 0.255 -2.85254 10.75232 + 602 | -1.919718 2.7628 -0.69 0.487 -7.337603 3.498167 + 603 | -1.594421 3.086708 -0.52 0.606 -7.647494 4.458653 + 604 | -.635167 4.017221 -0.16 0.874 -8.512987 7.242653 + 606 | .1080285 3.37898 0.03 0.974 -6.518192 6.734249 + 607 | .8042576 3.088074 0.26 0.795 -5.251493 6.860008 + 609 | -2.249745 3.908097 -0.58 0.565 -9.913572 5.414082 + 698 | 1.549552 5.000764 0.31 0.757 -8.257007 11.35611 + 699 | 1.052686 3.872516 0.27 0.786 -6.541365 8.646738 + 700 | -1.146163 4.103853 -0.28 0.780 -9.19387 6.901543 + 701 | .962584 4.108679 0.23 0.815 -7.094586 9.019754 + 703 | 1.097285 3.131917 0.35 0.726 -5.044443 7.239013 + 704 | -1.864512 2.927517 -0.64 0.524 -7.605409 3.876386 + 705 | -1.397225 3.432657 -0.41 0.684 -8.128707 5.334256 + 707 | 5.182438 4.581548 1.13 0.258 -3.802034 14.16691 + 708 | -7.991512 2.907377 -2.75 0.006 -13.69291 -2.29011 + 709 | 3.119638 3.316655 0.94 0.347 -3.384362 9.623639 + 710 | 5.767483 3.7505 1.54 0.124 -1.587294 13.12226 + 711 | 1.02444 3.174178 0.32 0.747 -5.200162 7.249041 + 798 | -4.593379 3.83843 -1.20 0.232 -12.12059 2.933829 + 799 | -3.319611 4.429381 -0.75 0.454 -12.00568 5.366461 + 800 | -2.638275 3.059102 -0.86 0.389 -8.637213 3.360662 + 801 | 6.145198 4.654624 1.32 0.187 -2.982577 15.27297 + 802 | 4.497478 4.618624 0.97 0.330 -4.5597 13.55466 + 803 | -.1601591 3.29169 -0.05 0.961 -6.615204 6.294886 + 805 | 2.704996 4.606903 0.59 0.557 -6.329197 11.73919 + 806 | .7672429 3.189049 0.24 0.810 -5.486522 7.021008 + 807 | 3.871049 3.635852 1.06 0.287 -3.258901 11.001 + 898 | 3.217899 11.75265 0.27 0.784 -19.82919 26.26499 + 899 | -7.830371 3.087366 -2.54 0.011 -13.88473 -1.776008 + 1000 | 1.643827 3.669197 0.45 0.654 -5.551514 8.839168 + 1001 | -3.412801 3.480038 -0.98 0.327 -10.2372 3.411597 + 1002 | 5.620564 4.563264 1.23 0.218 -3.328054 14.56918 + 1003 | 3.018316 3.063708 0.99 0.325 -2.989655 9.026286 + 1005 | 22.01294 8.7431 2.52 0.012 4.867611 39.15826 + 1006 | 3.437408 3.327674 1.03 0.302 -3.088201 9.963018 + 1007 | 3.88539 3.267119 1.19 0.234 -2.52147 10.29225 + 1010 | -5.867094 2.987476 -1.96 0.050 -11.72557 -.0086163 + 1098 | -5.001361 4.622722 -1.08 0.279 -14.06658 4.063854 + 1099 | 12.02431 13.47964 0.89 0.372 -14.40942 38.45805 + 1200 | -1.57352 3.889788 -0.40 0.686 -9.201443 6.054403 + 1201 | 4.502837 3.596182 1.25 0.211 -2.549321 11.55499 + 1202 | 7.646372 4.568599 1.67 0.094 -1.312708 16.60545 + 1203 | 2.762539 3.129589 0.88 0.377 -3.374624 8.899701 + 1204 | 16.28126 6.006483 2.71 0.007 4.502474 28.06005 + 1205 | 3.729551 4.704317 0.79 0.428 -5.495672 12.95477 + 1206 | -2.36299 3.081824 -0.77 0.443 -8.406486 3.680506 + 1207 | -.3947548 3.839828 -0.10 0.918 -7.924706 7.135196 + 1208 | .3322212 3.233225 0.10 0.918 -6.008174 6.672616 + 1209 | -2.554863 3.049892 -0.84 0.402 -8.535739 3.426013 + 1210 | -1.118996 3.137339 -0.36 0.721 -7.271358 5.033365 + 1211 | -2.421962 3.228741 -0.75 0.453 -8.753562 3.909638 + 1299 | -4.349619 5.58467 -0.78 0.436 -15.30123 6.601989 + 1300 | -2.750641 3.378797 -0.81 0.416 -9.376503 3.875222 + 1301 | -1.750437 3.213752 -0.54 0.586 -8.052644 4.55177 + 1302 | -6.056761 3.022252 -2.00 0.045 -11.98343 -.1300882 + 1303 | -4.73552 2.949532 -1.61 0.109 -10.51959 1.048549 + 1304 | -.9542002 3.177902 -0.30 0.764 -7.186106 5.277705 + 1305 | 2.133965 4.352966 0.49 0.624 -6.402255 10.67019 + 1399 | -1.968561 5.908524 -0.33 0.739 -13.55525 9.618127 + 1400 | -.6440209 3.055529 -0.21 0.833 -6.635951 5.347909 + 1401 | -.7924682 3.166808 -0.25 0.802 -7.002618 5.417682 + 1403 | -.8100382 3.582208 -0.23 0.821 -7.834792 6.214715 + 1404 | -3.657189 4.278014 -0.85 0.393 -12.04643 4.73205 + 1405 | 7.721144 4.862692 1.59 0.112 -1.814655 17.25694 + 1406 | -3.743547 3.823691 -0.98 0.328 -11.24185 3.754758 + 1407 | 4.911908 3.95341 1.24 0.214 -2.840777 12.66459 + 1408 | -7.749355 3.120085 -2.48 0.013 -13.86788 -1.630831 + 1409 | -1.249508 3.871592 -0.32 0.747 -8.841749 6.342732 + 1410 | .3034206 3.508719 0.09 0.931 -6.577222 7.184063 + 1499 | -.9095112 6.104275 -0.15 0.882 -12.88007 11.06105 + 1500 | -2.091223 3.710797 -0.56 0.573 -9.368142 5.185697 + 1501 | -.2934367 2.999227 -0.10 0.922 -6.174958 5.588084 + 1502 | 2.563064 3.063556 0.84 0.403 -3.444607 8.570735 + 1504 | .2323517 3.466764 0.07 0.947 -6.566015 7.030718 + 1505 | 3.323429 3.929748 0.85 0.398 -4.382855 11.02971 + 1507 | .3426883 7.144499 0.05 0.962 -13.66776 14.35314 + 1520 | -1.417504 3.194796 -0.44 0.657 -7.682539 4.847531 + 1521 | -.9492382 3.117614 -0.30 0.761 -7.062918 5.164442 + 1522 | 12.49585 3.675902 3.40 0.001 5.287361 19.70434 + 1523 | -2.854829 3.315418 -0.86 0.389 -9.356405 3.646746 + 1524 | 10.70036 6.217194 1.72 0.085 -1.491636 22.89235 + 1525 | -1.137285 2.944068 -0.39 0.699 -6.91064 4.636069 + 1526 | 1.748326 3.513382 0.50 0.619 -5.14146 8.638112 + 1599 | 3.528272 5.624471 0.63 0.531 -7.501386 14.55793 + 1600 | .3324493 4.725967 0.07 0.944 -8.93523 9.600129 + 1602 | .3489136 4.096909 0.09 0.932 -7.685176 8.383003 + 1603 | -10.68885 4.283034 -2.50 0.013 -19.08794 -2.289769 + 1604 | -.0185951 5.057555 -0.00 0.997 -9.936523 9.899333 + 1605 | -1.474128 3.412213 -0.43 0.666 -8.16552 5.217263 + 1606 | 2.453653 4.17749 0.59 0.557 -5.738456 10.64576 + 1608 | 1.441541 3.247424 0.44 0.657 -4.926697 7.809779 + 1609 | 4.317664 3.219056 1.34 0.180 -1.994945 10.63027 + 1610 | -1.089705 3.423946 -0.32 0.750 -7.804105 5.624694 + 1611 | 20.99434 8.261224 2.54 0.011 4.79398 37.19471 + 1612 | .4583915 3.275256 0.14 0.889 -5.964425 6.881208 + 1614 | 2.804577 4.144896 0.68 0.499 -5.323615 10.93277 + 1615 | 6.769881 6.343991 1.07 0.286 -5.670764 19.21053 + 1616 | 1.64527 3.151156 0.52 0.602 -4.534185 7.824725 + 1617 | -4.874994 3.51153 -1.39 0.165 -11.76115 2.011159 + 1619 | -4.127931 3.355437 -1.23 0.219 -10.70798 2.452123 + 1620 | 12.10337 8.175402 1.48 0.139 -3.928694 28.13543 + 1698 | 6.297823 6.568267 0.96 0.338 -6.58263 19.17828 + 1699 | 8.038862 3.415257 2.35 0.019 1.3415 14.73622 + 1700 | 6.278635 4.488121 1.40 0.162 -2.522625 15.0799 + 1701 | 2.783214 4.242066 0.66 0.512 -5.535531 11.10196 + 1704 | 17.49105 11.24522 1.56 0.120 -4.560962 39.54307 + 1705 | -7.277778 7.198774 -1.01 0.312 -21.39466 6.839106 + 1706 | 2.458321 3.340997 0.74 0.462 -4.093416 9.010058 + 1707 | .7557134 3.34607 0.23 0.821 -5.805972 7.317399 + 1708 | 6.424995 4.138555 1.55 0.121 -1.690762 14.54075 + 1709 | 6.757882 3.741199 1.81 0.071 -.5786555 14.09442 + 1798 | 2.580189 4.383078 0.59 0.556 -6.015081 11.17546 + 1799 | -4.03888 7.752647 -0.52 0.602 -19.24192 11.16416 + 1800 | 5.353796 7.903471 0.68 0.498 -10.14501 20.8526 + 1802 | -.6659554 3.232782 -0.21 0.837 -7.00548 5.67357 + 1803 | 2.635454 4.100614 0.64 0.520 -5.405901 10.67681 + 1804 | -1.654363 3.831285 -0.43 0.666 -9.16756 5.858834 + 1806 | 13.38821 8.929828 1.50 0.134 -4.12329 30.89971 + 1807 | -7.679516 2.86626 -2.68 0.007 -13.30029 -2.058745 + 1808 | 9.749195 8.638707 1.13 0.259 -7.191416 26.68981 + 1899 | -11.11881 3.062834 -3.63 0.000 -17.12507 -5.112559 + 1900 | 1.192104 3.886458 0.31 0.759 -6.429288 8.813496 + 1901 | 3.007287 3.724168 0.81 0.419 -4.295852 10.31043 + 1902 | 7.569671 3.810999 1.99 0.047 .0962556 15.04309 + 1905 | -1.05829 3.541398 -0.30 0.765 -8.003015 5.886435 + 1906 | 2.687921 3.463649 0.78 0.438 -4.104338 9.48018 + 1907 | 6.695393 5.680186 1.18 0.239 -4.443522 17.83431 + 1908 | .9552584 4.661662 0.20 0.838 -8.186318 10.09683 + 1909 | 5.838167 5.609808 1.04 0.298 -5.162736 16.83907 + 1910 | -3.533591 3.622673 -0.98 0.329 -10.6377 3.570516 + 1911 | 1.253308 4.142242 0.30 0.762 -6.869679 9.376295 + 1912 | -15.94135 3.328739 -4.79 0.000 -22.46905 -9.413655 + 1914 | -6.102641 3.639397 -1.68 0.094 -13.23954 1.034261 + 1915 | 23.03422 5.699892 4.04 0.000 11.85666 34.21177 + 1919 | 7.802382 5.991795 1.30 0.193 -3.947603 19.55237 + 1920 | 5.163309 3.618356 1.43 0.154 -1.932333 12.25895 + 1925 | .2727572 2.98109 0.09 0.927 -5.573198 6.118712 + 1926 | 3.477483 4.01789 0.87 0.387 -4.401648 11.35661 + 1927 | -2.630345 4.095967 -0.64 0.521 -10.66259 5.401898 + 1929 | 5.842338 4.641378 1.26 0.208 -3.259461 14.94414 + 1999 | 18.15072 14.31574 1.27 0.205 -9.922625 46.22406 + 2000 | -2.762054 3.178756 -0.87 0.385 -8.995634 3.471527 + 2001 | -.7454146 3.21138 -0.23 0.816 -7.04297 5.552141 + 2002 | .5388842 3.368031 0.16 0.873 -6.065866 7.143635 + 2003 | 2.212601 3.252938 0.68 0.496 -4.16645 8.591652 + 2004 | 1.11971 3.311396 0.34 0.735 -5.373979 7.6134 + 2005 | 9.460854 6.676874 1.42 0.157 -3.632577 22.55429 + 2006 | 17.0996 3.388281 5.05 0.000 10.45513 23.74406 + 2007 | -3.924055 3.337489 -1.18 0.240 -10.46891 2.620801 + 2008 | 17.75803 3.271531 5.43 0.000 11.34252 24.17354 + 2009 | 7.15585 5.257593 1.36 0.174 -3.154355 17.46605 + 2010 | -13.03368 2.880734 -4.52 0.000 -18.68283 -7.384524 + 2011 | .0399819 3.518313 0.01 0.991 -6.859474 6.939438 + 2012 | -4.033287 2.983358 -1.35 0.177 -9.883689 1.817116 + 2013 | 4.773314 7.064089 0.68 0.499 -9.079452 18.62608 + 2014 | 4.067587 4.001035 1.02 0.309 -3.778492 11.91367 + 2015 | 3.041567 4.494272 0.68 0.499 -5.771757 11.85489 + 2030 | .1444003 5.340081 0.03 0.978 -10.32756 10.61637 + 2099 | 5.599597 4.601341 1.22 0.224 -3.42369 14.62288 + 2100 | -2.871293 3.453526 -0.83 0.406 -9.6437 3.901113 + 2101 | 3.004734 3.208129 0.94 0.349 -3.286447 9.295915 + 2102 | 2.55592 3.049811 0.84 0.402 -3.424797 8.536637 + 2103 | 2.720363 3.659173 0.74 0.457 -4.455321 9.896046 + 2104 | 2.311287 3.266209 0.71 0.479 -4.093789 8.716364 + 2105 | -4.545407 3.760331 -1.21 0.227 -11.91946 2.828649 + 2199 | -8.225736 3.086261 -2.67 0.008 -14.27793 -2.17354 + 9999 | 2.472845 3.654267 0.68 0.499 -4.693219 9.638908 + | + house_administration | .4825412 1.164339 0.41 0.679 -1.800742 2.765825 + house_agriculture | .6207994 1.266585 0.49 0.624 -1.862989 3.104587 + house_appropriations | -6.215828 1.966066 -3.16 0.002 -10.07131 -2.360348 + house_armedservices | -1.679189 1.152098 -1.46 0.145 -3.938468 .5800901 + house_budget | -5.756407 1.847047 -3.12 0.002 -9.378489 -2.134325 + house_dc | -8.511608 2.999793 -2.84 0.005 -14.39424 -2.628977 + house_educlabor | -3.582692 .6548415 -5.47 0.000 -4.866844 -2.29854 + house_energycommerce | -1.762398 .485574 -3.63 0.000 -2.714614 -.8101809 + house_foreignaffairs | 1.416291 1.368775 1.03 0.301 -1.267894 4.100476 + house_governmentop | -1.547175 1.377576 -1.12 0.262 -4.248618 1.154269 + house_intelligence | 4.782398 2.721628 1.76 0.079 -.554748 10.11954 + house_interior | -.813479 1.960031 -0.42 0.678 -4.657125 3.030167 + house_judiciary | 1.056864 .6877106 1.54 0.124 -.2917451 2.405473 + house_mmf | .0311913 2.719765 0.01 0.991 -5.302302 5.364684 + house_pocs | -.4073767 1.348058 -0.30 0.763 -3.050935 2.236181 + house_pwt | .2340391 1.739228 0.13 0.893 -3.176609 3.644688 + house_rules | 9.266639 3.110408 2.98 0.003 3.167092 15.36619 + house_sst | 10.09554 3.332123 3.03 0.002 3.561203 16.62987 + house_smallbusi | -2.905443 1.454877 -2.00 0.046 -5.758476 -.0524108 + house_soc | -2.817486 3.973227 -0.71 0.478 -10.60903 4.974062 + house_veterans | -.8442299 .9937991 -0.85 0.396 -2.793082 1.104622 + house_waysandmeans | 1.184462 .503804 2.35 0.019 .1964964 2.172428 +house_naturalresources | -3.148774 1.296635 -2.43 0.015 -5.69149 -.6060569 + house_bfs | -1.697558 .816275 -2.08 0.038 -3.298283 -.0968325 + house_eeo | -1.279991 1.618883 -0.79 0.429 -4.45464 1.894657 + house_govreform | 1.926619 .9297599 2.07 0.038 .1033479 3.749889 + house_ir | .9938273 1.231088 0.81 0.420 -1.420352 3.408007 + house_natsecur | .5117465 1.631927 0.31 0.754 -2.688483 3.711976 + house_oversight | -3.222911 1.307682 -2.46 0.014 -5.787292 -.6585305 + house_resources | 1.309646 1.590652 0.82 0.410 -1.809642 4.428934 + house_science | -.2541894 1.163794 -0.22 0.827 -2.536405 2.028026 + house_transp | -1.558883 .9985207 -1.56 0.119 -3.516995 .3992279 + house_homeland | -.8225016 1.868597 -0.44 0.660 -4.486844 2.841841 + _cons | 14.59448 2.844189 5.13 0.000 9.016988 20.17197 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,265 1 0 1 1 + + +j = 5 k = 3 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 11.12081 18.1168 .6138395 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(13,828 missing values generated) +(55,922 missing values generated) +(42,094 real changes made) +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==200 & tag_bill==1, robust cluster(group_sponsor) +(sum of wgt is 35,889.8411889076) + +Linear regression Number of obs = 23,817 + F(267, 1952) = . + Prob > F = . + R-squared = 0.1839 + Root MSE = 22.128 + + (Std. Err. adjusted for 1,953 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 2.826691 .8684242 3.25 0.001 1.123555 4.529827 + | + v2 | + 102 | -.1844597 1.904456 -0.10 0.923 -3.919441 3.550521 + 103 | -4.368671 1.524084 -2.87 0.004 -7.357675 -1.379667 + 104 | -4.854777 1.775431 -2.73 0.006 -8.336717 -1.372837 + 105 | -3.068153 1.600651 -1.92 0.055 -6.207318 .071013 + 106 | .6024476 1.599735 0.38 0.707 -2.534921 3.739816 + 107 | 1.556775 1.572594 0.99 0.322 -1.527365 4.640916 + 108 | 1.664493 1.794391 0.93 0.354 -1.854631 5.183617 + 109 | -.8626724 1.44896 -0.60 0.552 -3.704345 1.979 + 110 | -7.229603 1.569243 -4.61 0.000 -10.30717 -4.152036 + 111 | -7.427823 1.708545 -4.35 0.000 -10.77859 -4.077058 + | + minor | + 101 | 15.50623 7.234461 2.14 0.032 1.318153 29.69431 + 103 | 18.07768 13.58557 1.33 0.183 -8.566077 44.72143 + 104 | 7.70511 5.633187 1.37 0.172 -3.342584 18.7528 + 105 | 6.69693 2.630705 2.55 0.011 1.537644 11.85622 + 107 | 8.210391 2.828969 2.90 0.004 2.662274 13.75851 + 108 | 17.42103 6.573661 2.65 0.008 4.528895 30.31316 + 110 | .8528796 3.696264 0.23 0.818 -6.39616 8.101919 + 200 | 16.17887 7.041987 2.30 0.022 2.368262 29.98947 + 201 | 14.27685 13.15532 1.09 0.278 -11.5231 40.0768 + 202 | 21.07012 8.442396 2.50 0.013 4.513063 37.62718 + 204 | 16.63628 7.942478 2.09 0.036 1.05965 32.21291 + 205 | 5.336848 8.247185 0.65 0.518 -10.83737 21.51106 + 206 | 8.655101 4.105727 2.11 0.035 .6030317 16.70717 + 207 | 4.053125 3.272662 1.24 0.216 -2.365155 10.4714 + 208 | 7.099664 3.464927 2.05 0.041 .3043174 13.89501 + 209 | -3.341426 2.753374 -1.21 0.225 -8.741288 2.058436 + 299 | 27.26962 12.9248 2.11 0.035 1.921756 52.61748 + 300 | 21.54258 5.36636 4.01 0.000 11.01818 32.06697 + 301 | 16.72605 3.961467 4.22 0.000 8.956901 24.4952 + 302 | 14.73567 3.234437 4.56 0.000 8.392357 21.07899 + 321 | 19.51591 4.099884 4.76 0.000 11.4753 27.55652 + 322 | 25.0118 3.689248 6.78 0.000 17.77652 32.24708 + 323 | 21.36948 4.368627 4.89 0.000 12.80182 29.93715 + 324 | 6.853289 3.977658 1.72 0.085 -.9476148 14.65419 + 325 | 22.12853 4.432526 4.99 0.000 13.43555 30.82151 + 331 | 38.33857 4.48524 8.55 0.000 29.54221 47.13493 + 332 | 28.62304 4.439416 6.45 0.000 19.91655 37.32953 + 333 | 40.54161 5.868511 6.91 0.000 29.0324 52.05081 + 334 | 23.96725 4.349449 5.51 0.000 15.4372 32.4973 + 335 | 6.890538 7.644726 0.90 0.368 -8.102146 21.88322 + 336 | 30.57624 4.256083 7.18 0.000 22.22929 38.92318 + 341 | 27.67 6.889188 4.02 0.000 14.15906 41.18094 + 342 | 31.44428 8.045131 3.91 0.000 15.66633 47.22223 + 343 | 11.133 4.889258 2.28 0.023 1.544286 20.72172 + 344 | 38.28546 10.3653 3.69 0.000 17.95725 58.61367 + 398 | 30.93147 4.309927 7.18 0.000 22.47893 39.38402 + 399 | 19.3198 6.414417 3.01 0.003 6.739971 31.89962 + 400 | 11.21517 3.787056 2.96 0.003 3.788071 18.64227 + 401 | 18.83856 5.76591 3.27 0.001 7.530572 30.14655 + 402 | 13.14686 3.117472 4.22 0.000 7.032938 19.26078 + 403 | 15.13322 4.157786 3.64 0.000 6.979055 23.28739 + 404 | 19.40053 4.751937 4.08 0.000 10.08113 28.71993 + 405 | 16.13339 6.718026 2.40 0.016 2.95813 29.30865 + 498 | 13.78621 5.033919 2.74 0.006 3.913787 23.65863 + 499 | 10.76468 4.336414 2.48 0.013 2.260189 19.26917 + 500 | 10.1649 5.037967 2.02 0.044 .2845362 20.04526 + 501 | 6.715999 4.231752 1.59 0.113 -1.583229 15.01523 + 502 | 14.36824 4.290545 3.35 0.001 5.953711 22.78277 + 503 | 8.846441 2.830247 3.13 0.002 3.295817 14.39706 + 504 | 3.499565 5.078808 0.69 0.491 -6.460891 13.46002 + 505 | 2.320376 3.127976 0.74 0.458 -3.814147 8.454899 + 506 | 2.054889 3.885091 0.53 0.597 -5.564475 9.674252 + 508 | 24.63703 5.307768 4.64 0.000 14.22754 35.04652 + 529 | 10.91535 5.44218 2.01 0.045 .2422593 21.58845 + 530 | 13.96908 2.763787 5.05 0.000 8.548799 19.38937 + 599 | 4.549759 5.96615 0.76 0.446 -7.150935 16.25045 + 600 | 4.067189 3.161699 1.29 0.198 -2.133472 10.26785 + 601 | 15.42913 3.011792 5.12 0.000 9.522465 21.3358 + 602 | 13.92928 3.211599 4.34 0.000 7.630761 20.22781 + 603 | 15.25058 6.444134 2.37 0.018 2.612474 27.88869 + 604 | 12.69636 6.172236 2.06 0.040 .591491 24.80122 + 606 | 11.90166 4.710136 2.53 0.012 2.664236 21.13909 + 607 | 21.10874 4.520658 4.67 0.000 12.24291 29.97456 + 609 | 16.24633 5.589002 2.91 0.004 5.28529 27.20737 + 698 | -1.808854 9.508984 -0.19 0.849 -20.45768 16.83998 + 699 | 6.979438 6.607595 1.06 0.291 -5.979245 19.93812 + 700 | 12.48737 3.468134 3.60 0.000 5.685731 19.289 + 701 | 18.68644 4.377847 4.27 0.000 10.10069 27.27218 + 703 | 9.924265 4.008038 2.48 0.013 2.063782 17.78475 + 704 | 8.699113 3.449556 2.52 0.012 1.933912 15.46431 + 705 | 3.36652 3.509614 0.96 0.338 -3.516465 10.24951 + 707 | 12.80279 7.949692 1.61 0.107 -2.787983 28.39357 + 708 | 16.78144 7.531484 2.23 0.026 2.010848 31.55204 + 709 | 13.77491 2.993172 4.60 0.000 7.904756 19.64505 + 710 | 17.21976 3.566016 4.83 0.000 10.22616 24.21336 + 711 | 22.47324 4.136879 5.43 0.000 14.36007 30.5864 + 798 | 20.91426 6.834687 3.06 0.002 7.510212 34.31832 + 799 | 26.02371 3.675131 7.08 0.000 18.81612 33.2313 + 800 | 8.264867 3.870567 2.14 0.033 .6739877 15.85575 + 801 | 5.55288 4.174541 1.33 0.184 -2.634146 13.73991 + 802 | 9.286202 3.420762 2.71 0.007 2.577473 15.99493 + 803 | 8.270376 2.957073 2.80 0.005 2.471023 14.06973 + 805 | -1.068957 4.146562 -0.26 0.797 -9.201111 7.063198 + 806 | 16.14599 3.951276 4.09 0.000 8.39683 23.89516 + 807 | 20.32485 4.342965 4.68 0.000 11.80751 28.84218 + 898 | 14.37479 10.41444 1.38 0.168 -6.049809 34.79938 + 899 | -3.039104 8.457274 -0.36 0.719 -19.62534 13.54713 + 1000 | 10.82757 3.885081 2.79 0.005 3.208223 18.44691 + 1001 | 28.15581 4.315329 6.52 0.000 19.69268 36.61895 + 1002 | 16.29745 3.826959 4.26 0.000 8.792098 23.80281 + 1003 | 13.91765 3.240911 4.29 0.000 7.561637 20.27366 + 1005 | 11.3043 5.174511 2.18 0.029 1.156153 21.45245 + 1006 | 23.67031 4.521359 5.24 0.000 14.80311 32.53751 + 1007 | 11.60287 3.503539 3.31 0.001 4.7318 18.47394 + 1010 | 20.74692 7.392044 2.81 0.005 6.249789 35.24405 + 1098 | 11.51741 7.117746 1.62 0.106 -2.441768 25.47659 + 1099 | 12.34694 13.44405 0.92 0.359 -14.01927 38.71314 + 1200 | 9.455761 5.645962 1.67 0.094 -1.616987 20.52851 + 1201 | 19.02348 3.753873 5.07 0.000 11.66146 26.3855 + 1202 | 16.9877 4.080936 4.16 0.000 8.984252 24.99115 + 1203 | 9.104148 3.339309 2.73 0.006 2.555161 15.65314 + 1204 | 9.670873 3.38311 2.86 0.004 3.035985 16.30576 + 1205 | 8.923997 3.819843 2.34 0.020 1.432596 16.4154 + 1206 | 19.83504 5.066303 3.92 0.000 9.899107 29.77097 + 1207 | 16.05655 4.062233 3.95 0.000 8.089782 24.02332 + 1208 | 24.28012 3.481822 6.97 0.000 17.45164 31.10859 + 1209 | 19.94445 3.416664 5.84 0.000 13.24376 26.64514 + 1210 | 11.72504 3.116297 3.76 0.000 5.613416 17.83666 + 1211 | 17.47298 3.782837 4.62 0.000 10.05415 24.8918 + 1299 | 20.47804 7.069775 2.90 0.004 6.612944 34.34315 + 1300 | 8.980465 4.888845 1.84 0.066 -.607439 18.56837 + 1301 | 27.84477 5.610162 4.96 0.000 16.84223 38.8473 + 1302 | 1.744049 6.028199 0.29 0.772 -10.07833 13.56643 + 1303 | 16.44055 5.803867 2.83 0.005 5.058126 27.82298 + 1304 | 23.79133 4.08413 5.83 0.000 15.78162 31.80104 + 1305 | 22.68238 7.433017 3.05 0.002 8.104892 37.25986 + 1399 | 13.1985 8.497738 1.55 0.121 -3.467089 29.8641 + 1400 | 10.82973 4.561418 2.37 0.018 1.88397 19.7755 + 1401 | 21.82859 4.379472 4.98 0.000 13.23966 30.41753 + 1403 | 28.00871 4.996819 5.61 0.000 18.20904 37.80837 + 1404 | 9.037261 7.439405 1.21 0.225 -5.552751 23.62727 + 1405 | 27.00374 7.395386 3.65 0.000 12.50006 41.50743 + 1406 | 12.97268 4.649454 2.79 0.005 3.854263 22.0911 + 1407 | 20.93788 9.12435 2.29 0.022 3.043392 38.83238 + 1408 | 25.19267 10.24085 2.46 0.014 5.108524 45.27681 + 1409 | 25.16612 7.040139 3.57 0.000 11.35914 38.9731 + 1410 | 21.83768 3.556114 6.14 0.000 14.8635 28.81186 + 1499 | 5.255615 7.09071 0.74 0.459 -8.650543 19.16177 + 1500 | 10.80978 4.646905 2.33 0.020 1.696361 19.92319 + 1501 | 18.40221 3.444532 5.34 0.000 11.64686 25.15756 + 1502 | 8.59588 3.04159 2.83 0.005 2.630773 14.56099 + 1504 | 14.88962 3.357655 4.43 0.000 8.304655 21.47459 + 1505 | 24.59581 3.674154 6.69 0.000 17.39013 31.80148 + 1507 | 18.46216 4.269619 4.32 0.000 10.08866 26.83565 + 1520 | 13.47016 4.491832 3.00 0.003 4.660871 22.27945 + 1521 | 14.2157 3.394223 4.19 0.000 7.559018 20.87238 + 1522 | 27.51075 4.332337 6.35 0.000 19.01426 36.00724 + 1523 | 16.58199 3.585701 4.62 0.000 9.549781 23.61419 + 1524 | 20.29247 7.554518 2.69 0.007 5.476699 35.10824 + 1525 | 17.69822 3.945317 4.49 0.000 9.96074 25.43569 + 1526 | 22.50921 4.027714 5.59 0.000 14.61014 30.40828 + 1599 | 20.89507 4.883315 4.28 0.000 11.31801 30.47212 + 1600 | 10.35606 4.423067 2.34 0.019 1.681631 19.03049 + 1602 | 5.148291 6.69586 0.77 0.442 -7.983496 18.28008 + 1603 | 7.23416 4.523786 1.60 0.110 -1.637798 16.10612 + 1604 | 17.6879 5.065954 3.49 0.000 7.75265 27.62314 + 1605 | 16.31721 6.762647 2.41 0.016 3.054444 29.57998 + 1606 | 15.89898 10.80054 1.47 0.141 -5.282816 37.08078 + 1608 | 15.86843 2.980428 5.32 0.000 10.02327 21.71358 + 1609 | 21.17969 3.245559 6.53 0.000 14.81456 27.54481 + 1610 | 17.04438 5.919338 2.88 0.004 5.435493 28.65327 + 1611 | 7.744751 4.209681 1.84 0.066 -.5111908 16.00069 + 1612 | 18.34013 3.623583 5.06 0.000 11.23363 25.44663 + 1614 | 1.04323 7.863666 0.13 0.894 -14.37883 16.46529 + 1615 | 9.066729 4.249452 2.13 0.033 .7327889 17.40067 + 1616 | 2.877901 4.460631 0.65 0.519 -5.8702 11.626 + 1617 | 18.23409 5.87781 3.10 0.002 6.706644 29.76153 + 1619 | -4.075713 5.737607 -0.71 0.478 -15.32819 7.176767 + 1620 | 27.62001 8.920071 3.10 0.002 10.12615 45.11388 + 1698 | 14.08212 6.754293 2.08 0.037 .8357368 27.32851 + 1699 | 23.12021 4.031641 5.73 0.000 15.21344 31.02698 + 1700 | 8.924346 6.148456 1.45 0.147 -3.133883 20.98257 + 1701 | 19.0774 5.281401 3.61 0.000 8.71962 29.43518 + 1704 | 10.55708 6.256014 1.69 0.092 -1.712087 22.82625 + 1705 | 6.143207 8.636425 0.71 0.477 -10.79438 23.08079 + 1706 | 16.05918 3.599039 4.46 0.000 9.000814 23.11754 + 1707 | 11.20867 4.979323 2.25 0.024 1.443323 20.97402 + 1708 | 18.98762 5.208564 3.65 0.000 8.77269 29.20255 + 1709 | 30.92044 6.210371 4.98 0.000 18.74079 43.1001 + 1798 | 21.65386 4.985455 4.34 0.000 11.87648 31.43123 + 1799 | 7.246637 8.932184 0.81 0.417 -10.27098 24.76426 + 1800 | 10.76601 4.854849 2.22 0.027 1.244781 20.28725 + 1802 | 20.22306 5.793295 3.49 0.000 8.861368 31.58476 + 1803 | 23.37317 4.869867 4.80 0.000 13.82248 32.92385 + 1804 | 18.54401 4.673808 3.97 0.000 9.377833 27.71019 + 1806 | 6.64384 4.311528 1.54 0.123 -1.811843 15.09952 + 1807 | -.7419908 2.670177 -0.28 0.781 -5.978688 4.494706 + 1808 | 2.618074 4.092595 0.64 0.522 -5.408241 10.64439 + 1899 | -1.637895 6.936399 -0.24 0.813 -15.24142 11.96563 + 1900 | 15.25268 4.187447 3.64 0.000 7.040344 23.46502 + 1901 | 15.41608 4.303273 3.58 0.000 6.976585 23.85557 + 1902 | 24.87053 5.142668 4.84 0.000 14.78483 34.95623 + 1905 | 21.63729 9.549394 2.27 0.024 2.90921 40.36537 + 1906 | 8.520265 6.848575 1.24 0.214 -4.911023 21.95155 + 1907 | 7.061534 8.736955 0.81 0.419 -10.07321 24.19628 + 1908 | 22.15448 9.480212 2.34 0.020 3.562081 40.74689 + 1909 | 43.71304 7.732717 5.65 0.000 28.54779 58.87829 + 1910 | 35.17874 11.58156 3.04 0.002 12.46521 57.89228 + 1911 | 25.66014 10.84628 2.37 0.018 4.388634 46.93164 + 1912 | -5.80597 3.123961 -1.86 0.063 -11.93262 .3206807 + 1914 | 12.10195 5.313627 2.28 0.023 1.680967 22.52293 + 1915 | 12.64206 11.47542 1.10 0.271 -9.863312 35.14742 + 1919 | 18.16496 4.34244 4.18 0.000 9.648657 26.68127 + 1920 | 16.67334 4.202876 3.97 0.000 8.430746 24.91594 + 1925 | 30.43261 5.307473 5.73 0.000 20.0237 40.84152 + 1926 | 5.222001 3.878019 1.35 0.178 -2.383493 12.8275 + 1927 | 12.27901 3.599397 3.41 0.001 5.219943 19.33808 + 1929 | 11.58587 3.621308 3.20 0.001 4.483834 18.68791 + 1999 | 20.92919 12.28277 1.70 0.089 -3.159522 45.01791 + 2000 | 7.151592 2.881993 2.48 0.013 1.499485 12.8037 + 2001 | 8.742594 3.43053 2.55 0.011 2.014708 15.47048 + 2002 | 7.442656 2.894683 2.57 0.010 1.765661 13.11965 + 2003 | 21.48368 3.738908 5.75 0.000 14.151 28.81635 + 2004 | 17.48041 2.98629 5.85 0.000 11.62375 23.33706 + 2005 | -.9201543 5.927252 -0.16 0.877 -12.54456 10.70425 + 2006 | 33.80823 3.255049 10.39 0.000 27.42449 40.19197 + 2007 | 11.04426 5.058273 2.18 0.029 1.12408 20.96445 + 2008 | 25.40806 2.802825 9.07 0.000 19.91121 30.9049 + 2009 | 7.76203 5.448558 1.42 0.154 -2.923572 18.44763 + 2011 | 7.308328 2.730237 2.68 0.007 1.953843 12.66281 + 2012 | 5.75851 3.375698 1.71 0.088 -.8618406 12.37886 + 2013 | 8.46503 6.750979 1.25 0.210 -4.774855 21.70491 + 2014 | 9.38323 4.298246 2.18 0.029 .9535957 17.81286 + 2015 | 17.47851 5.553362 3.15 0.002 6.587367 28.36965 + 2030 | 11.70535 4.799987 2.44 0.015 2.291712 21.11899 + 2099 | 15.90016 4.867097 3.27 0.001 6.354902 25.44541 + 2100 | 3.221192 3.127992 1.03 0.303 -2.913364 9.355749 + 2101 | 17.63978 2.90412 6.07 0.000 11.94428 23.33528 + 2102 | 18.58002 3.337346 5.57 0.000 12.03488 25.12515 + 2103 | 9.653575 2.966217 3.25 0.001 3.836289 15.47086 + 2104 | 10.72173 3.065728 3.50 0.000 4.709283 16.73417 + 2105 | 16.8895 5.395049 3.13 0.002 6.308837 27.47016 + 2199 | 14.2562 12.18179 1.17 0.242 -9.634473 38.14687 + 9999 | 8.011384 3.898427 2.06 0.040 .3658663 15.6569 + | + house_administration | -5.397548 1.742136 -3.10 0.002 -8.81419 -1.980906 + house_agriculture | 1.747385 1.337826 1.31 0.192 -.8763316 4.371102 + house_appropriations | -9.830291 1.385907 -7.09 0.000 -12.5483 -7.112279 + house_armedservices | -1.30352 1.355066 -0.96 0.336 -3.961047 1.354008 + house_budget | .5738137 1.60713 0.36 0.721 -2.578058 3.725686 + house_dc | 10.43107 9.020556 1.16 0.248 -7.259862 28.122 + house_educlabor | .6578408 1.79651 0.37 0.714 -2.865439 4.181121 + house_energycommerce | 5.511861 .9900571 5.57 0.000 3.570181 7.453541 + house_foreignaffairs | 1.511981 2.62785 0.58 0.565 -3.641707 6.665669 + house_governmentop | .1812149 1.742672 0.10 0.917 -3.23648 3.598909 + house_intelligence | -3.563925 3.488108 -1.02 0.307 -10.40473 3.276882 + house_interior | -2.123546 2.134878 -0.99 0.320 -6.310427 2.063335 + house_judiciary | -3.774831 .7853916 -4.81 0.000 -5.315126 -2.234537 + house_mmf | 5.811617 3.071091 1.89 0.059 -.2113455 11.83458 + house_pocs | .9344728 2.086742 0.45 0.654 -3.158004 5.02695 + house_pwt | -2.081023 2.062478 -1.01 0.313 -6.125913 1.963867 + house_rules | -5.059357 1.080189 -4.68 0.000 -7.177803 -2.940911 + house_sst | 5.289998 4.209263 1.26 0.209 -2.965125 13.54512 + house_smallbusi | 1.131722 4.085123 0.28 0.782 -6.87994 9.143384 + house_soc | -1.699939 7.347291 -0.23 0.817 -16.1093 12.70942 + house_veterans | 3.364799 1.610609 2.09 0.037 .2061051 6.523492 + house_waysandmeans | -2.046834 .9376199 -2.18 0.029 -3.885676 -.2079926 +house_naturalresources | .2523769 1.882369 0.13 0.893 -3.439288 3.944042 + house_bfs | -1.914482 1.186388 -1.61 0.107 -4.241202 .4122389 + house_eeo | -2.191252 2.913966 -0.75 0.452 -7.906065 3.523561 + house_govreform | -.9509297 1.256343 -0.76 0.449 -3.414844 1.512985 + house_ir | 1.807742 2.079441 0.87 0.385 -2.270416 5.8859 + house_natsecur | .3019421 2.207708 0.14 0.891 -4.02777 4.631654 + house_oversight | 2.677026 2.071185 1.29 0.196 -1.384941 6.738994 + house_resources | -6.723066 1.202486 -5.59 0.000 -9.081358 -4.364774 + house_science | 2.800121 1.822756 1.54 0.125 -.7746313 6.374873 + house_transp | .6778266 1.36981 0.49 0.621 -2.008616 3.36427 + house_homeland | -3.382934 2.183601 -1.55 0.121 -7.665368 .8995008 + _cons | 7.978929 2.714582 2.94 0.003 2.655146 13.30271 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,953 1 0 1 1 +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(62,331 observations deleted) +(16 missing values generated) +(2 real changes made) +(2 real changes made) +(16 missing values generated) +(0 real changes made) +(0 real changes made) +(17 missing values generated) +(1 real change made) +(1 real change made) +(17 missing values generated) +(1 real change made) +(1 real change made) +(16 missing values generated) +(2 real changes made) +(1 real change made) +(5 real changes made) +(5 real changes made) +(5 real changes made) +file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/Table5_BottomPanel_PctCosponsorsOpposite.xls saved + +. +. +. log close + name: + log: /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Log/Table5.log + log type: text + closed on: 8 Jul 2021, 12:22:15 +--------------------------------------------------------------------------------------------------------------------------------------------------------------------- diff --git a/30/replication_package/Log/Table6.log b/30/replication_package/Log/Table6.log new file mode 100644 index 0000000000000000000000000000000000000000..f90bf4cde4a35b8cd3ab19ee3dd5890d90958897 --- /dev/null +++ b/30/replication_package/Log/Table6.log @@ -0,0 +1,20768 @@ +--------------------------------------------------------------------------------------------------------------------------------------------------------------------- + name: + log: /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Log/Table6.log + log type: text + opened on: 8 Jul 2021, 12:24:38 + +. +. +. use "$AnalysisData/bills_analysis_101-111_replication.dta" +(Bill-level data set. Each observation is an individual bill.) + +. keep if private==0 +(1,546 observations deleted) + +. +. bysort v2 sponsor_state_abbrev sponsor_district sponsor_term_served: egen tot_bills=count(v2) + +. +. gen byte sponsor_democrat = sponsor_party==100 if sponsor_party~=. +(1,036 missing values generated) + +. +. gen byte NE = sponsor_state_icpsr>=1 & sponsor_state_icpsr<=14 if sponsor_state_icpsr~=. +(1,015 missing values generated) + +. gen byte MW = sponsor_state_icpsr>=21 & sponsor_state_icpsr<=37 if sponsor_state_icpsr~=. +(1,015 missing values generated) + +. gen byte SO = sponsor_state_icpsr>=40 & sponsor_state_icpsr<=56 if sponsor_state_icpsr~=. +(1,015 missing values generated) + +. gen byte WE = sponsor_state_icpsr>=61 & sponsor_state_icpsr<=82 if sponsor_state_icpsr~=. +(1,015 missing values generated) + +. +. replace sponsor_age=. if sponsor_age>100 +(0 real changes made) + +. gen sponsor_rookie=(sponsor_tenure_run==1) if sponsor_tenure_run!=. +(1,015 missing values generated) + +. gen byte leader = (comc==1) | (comr==1) if comc~=. & comr~=. +(1,015 missing values generated) + +. +. gen lnpden=lnpop-lnarea +(1,015 missing values generated) + +. gen absMV=abs(MV1_democrat) +(6,677 missing values generated) + +. +. egen group_congressmen = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +(1,015 missing values generated) + +. egen tag_sponsor = tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) + +. egen group_sponsor = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +(1,015 missing values generated) + +. +. rename numb_cosponsors_tenure_59 numb_cosponsors_ten_59 + +. rename numb_cosponsors_tenure_10plus numb_cosponsors_ten_10p + +. egen tag_congressmen=tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) + +. +. cap drop pct_cosponsors_fem + +. gen pct_cosponsors_fem=100*numb_cosponsors_fem/(numb_cosponsors+1) +(1,015 missing values generated) + +. replace pct_cosponsors_fem=. if pct_cosponsors_fem>100 +(3 real changes made, 3 to missing) + +. +. cap drop pct_cosponsors_leader + +. gen pct_cosponsors_leader=100*numb_cosponsors_leader/(numb_cosponsors+1) +(1,015 missing values generated) + +. replace pct_cosponsors_leader=. if pct_cosponsors_leader>100 +(2 real changes made, 2 to missing) + +. +. gen numb_cosponsors_ten_5p=numb_cosponsors_ten_59+numb_cosponsors_ten_10p + +. gen pct_cosponsors_ten_5p=100*numb_cosponsors_ten_5p/(numb_cosponsors+1) +(1,015 missing values generated) + +. replace pct_cosponsors_ten_5p=. if pct_cosponsors_ten_5p>100 +(7 real changes made, 7 to missing) + +. +. compress + variable tot_bills was float now int + variable sponsor_rookie was float now byte + variable group_congressmen was float now int + variable group_sponsor was float now int + variable numb_cosponsors_ten_5p was float now int + (685,839 bytes saved) + +. +. egen tag_bill = tag(v2 HRnumber) + +. +. gen int decade = 1980 if v2<=102 +(50,563 missing values generated) + +. replace decade=1990 if v2>=103 & v2<=107 +(25,238 real changes made) + +. replace decade=2000 if v2>=108 +(25,325 real changes made) + +. +. egen district_id = group(decade sponsor_state_abbrev sponsor_district) +(1,015 missing values generated) + +. +. gen maj_house=0 + +. replace maj_house=1 if v2==101 & sponsor_party==100 +(3,685 real changes made) + +. replace maj_house=1 if v2==102 & sponsor_party==100 +(3,938 real changes made) + +. replace maj_house=1 if v2==103 & sponsor_party==100 +(3,238 real changes made) + +. replace maj_house=1 if v2==104 & sponsor_party==200 +(2,399 real changes made) + +. replace maj_house=1 if v2==105 & sponsor_party==200 +(2,714 real changes made) + +. replace maj_house=1 if v2==106 & sponsor_party==200 +(3,210 real changes made) + +. replace maj_house=1 if v2==107 & sponsor_party==200 +(3,021 real changes made) + +. replace maj_house=1 if v2==108 & sponsor_party==200 +(2,843 real changes made) + +. replace maj_house=1 if v2==109 & sponsor_party==200 +(3,559 real changes made) + +. replace maj_house=1 if v2==110 & sponsor_party==100 +(4,480 real changes made) + +. replace maj_house=1 if v2==111 & sponsor_party==100 +(4,401 real changes made) + +. replace maj_house=1 if v2==112 & sponsor_party==200 +(0 real changes made) + +. replace maj_house=1 if v2==113 & sponsor_party==200 +(0 real changes made) + +. +. local controls1 = "i.v2 " + +. local controls2 = "i.v2 MV1_female femaleXMV1_female " + +. local controls3 = "i.v2 MV1_female femaleXMV1_female " + +. local controls4 = "i.v2 " + +. local controls5 = "i.v2 " + +. +. local other_controls = "i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate to +> t_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden" + +. local billchars = "i.minor house_*" + +. local indivchars = "sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate tot_bills" + +. local districtchars = "NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden" + +. +. local if1 = "if tag_bill==1" + +. local if2 = "if sponsor_party==100 & tag_bill==1" + +. local if3 = "if sponsor_party==200 & tag_bill==1" + +. +. foreach var of varlist var_cosp_dwnom1_spons m_betweenness_w_spons { + 2. replace `var'=`var'*1000 + 3. } +(42,050 real changes made) +(61,705 real changes made) + +. +. +. +. foreach depvar of varlist pct_cosponsors_fem pct_cosponsors_leader pct_cosponsors_ten_5p m_betweenness_w_spons var_cosp_dwnom1_spons { + 2. forvalues j=1/5 { + 3. forvalues k = 1/3 { + 4. qui reg `depvar' sponsor_female `controls3' `other_controls' `if`k'' & mixed_gender_election==1, robust cluster(group_sponsor) + 5. qui gen sample=e(sample) + 6. +. di "" + 7. di "" + 8. di "j = ", `j', "k = ", `k' + 9. di "" + 10. di "" + 11. +. di "rdbwselect_2014 `depvar' MV1_female `if`k'', c(0) kernel(uniform)" + 12. rdbwselect_2014 `depvar' MV1_female `if`k'', c(0) kernel(uniform) + 13. local band = e(h_CCT) + 14. +. if `j'==1 { + 15. di "reg `depvar' sponsor_female `controls`j'' `other_controls' `if`k'', robust cluster(group_sponsor)" + 16. reg `depvar' sponsor_female `controls`j'' `other_controls' `if`k'', robust cluster(group_sponsor) + 17. } + 18. else if `j'==2 { + 19. di "reg `depvar' sponsor_female `controls`j'' `if`k'' & sample==1 & abs(MV1_female)<=`band', robust cluster(group_sponsor)" + 20. reg `depvar' sponsor_female `controls`j'' `if`k'' & sample==1 & abs(MV1_female)<=`band', robust cluster(group_sponsor) + 21. } + 22. else if `j'==3 { + 23. qui probit sponsor_female i.v2 `districtchars' `if`k'' & tag_sponsor==1 & abs(MV1_female)<=`band' + 24. predict pscore if sample==1 + 25. gen wt = 1/pscore if sponsor_female==1 + 26. replace wt =1/(1-pscore) if sponsor_female==0 + 27. di "reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & sample==1 & abs(MV1_female)<=`band', robust cluster(group_sponsor)" + 28. reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & sample==1 & abs(MV1_female)<=`band', robust cluster(group_sponsor) + 29. drop pscore wt + 30. } + 31. else if `j'==4 { + 32. qui probit sponsor_female i.v2 `districtchars' absMV `if`k'' & tag_sponsor==1 + 33. predict pscore + 34. gen wt = 1/pscore if sponsor_female==1 + 35. replace wt =1/(1-pscore) if sponsor_female==0 + 36. di "reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'', robust cluster(group_sponsor)" + 37. reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'', robust cluster(group_sponsor) + 38. drop pscore wt + 39. } + 40. else if `j'==5 { + 41. qui probit sponsor_female i.v2 `districtchars' `indivchars' absMV `if`k'' & tag_sponsor==1 + 42. predict pscore + 43. gen wt = 1/pscore if sponsor_female==1 + 44. replace wt =1/(1-pscore) if sponsor_female==0 + 45. di "reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'', robust cluster(group_sponsor)" + 46. reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'', robust cluster(group_sponsor) + 47. drop pscore wt + 48. } + 49. +. if `j'~=2 & `j'~=3 { + 50. scalar b_col`j'_row`k' = _b[sponsor_female] + 51. scalar se_col`j'_row`k' = _se[sponsor_female] + 52. scalar n_col`j'_row`k' = e(N) + 53. sum tag_congressmen if tag_congressmen==1 & e(sample) + 54. scalar ni_col`j'_row`k' = e(N_clust) + 55. scalar ob_col`j'_row`k' = . + 56. } + 57. else if `j'==2 | `j'==3 { + 58. scalar b_col`j'_row`k' = _b[sponsor_female] + 59. scalar se_col`j'_row`k' = _se[sponsor_female] + 60. scalar n_col`j'_row`k' = e(N) + 61. sum tag_congressmen if tag_congressmen==1 & e(sample) + 62. scalar ni_col`j'_row`k' = e(N_clust) + 63. scalar ob_col`j'_row`k' = round(`band') + 64. } + 65. drop sample + 66. +. } + 67. } + 68. +. preserve + 69. +. * Display results +. +. forvalues i = 1/5 { + 70. gen var`i' =. + 71. } + 72. gen str20 var6 = "" + 73. +. forvalues j=1/5 { + 74. forvalues k = 1/3 { + 75. replace var`j' = b_col`j'_row`k' if _n==6*(`k'-1)+1 + 76. replace var`j' = se_col`j'_row`k' if _n==6*(`k'-1)+2 + 77. replace var`j' = n_col`j'_row`k' if _n==6*(`k'-1)+3 + 78. replace var`j' = ni_col`j'_row`k' if _n==6*(`k'-1)+4 + 79. replace var`j' = ob_col`j'_row`k' if _n==6*(`k'-1)+5 + 80. } + 81. } + 82. +. keep var1-var6 + 83. keep if _n<=18 + 84. +. order var6 var1-var5 + 85. +. ren var6 sampletype + 86. ren var1 OLS_all + 87. ren var2 RD_bwidth + 88. ren var3 RD_match_bw + 89. ren var4 PS_match + 90. ren var5 PS_match_indiv + 91. +. foreach var of varlist OLS_all RD_bwidth RD_match_bw PS_match PS_match_indiv { + 92. gen str3 `var'_stars ="*" if abs(`var'/`var'[_n+1])>=1.645 & mod(_n,6)==1 + 93. replace `var'_stars ="**" if abs(`var'/`var'[_n+1])>=1.96 & mod(_n,6)==1 + 94. replace `var'_stars="***" if abs(`var'/`var'[_n+1])>=2.58 & mod(_n,6)==1 + 95. } + 96. +. replace sampletype = "All" if _n>=1 & _n<=5 + 97. replace sampletype = "Democrats" if _n>=7 & _n<=11 + 98. replace sampletype = "Republicans" if _n>=13 & _n<=17 + 99. +. order sampletype OLS_all OLS_all_stars RD_bwidth RD_bwidth_stars RD_match_bw RD_match_bw_stars PS_match PS_match_stars PS_match_indiv PS_match_indiv_stars +100. export excel using "$Output/Table6_`depvar'", firstrow(var) replace +101. restore +102. } + + +j = 1 k = 1 + + +rdbwselect_2014 pct_cosponsors_fem MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11989 +----------------------+---------------------- NN matches = 3 + Number of obs | 6150 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 17.75164 29.65608 .5985837 +---------------------------------------------- +reg pct_cosponsors_fem sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 o +> cc4 borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if tag_bill==1, robust cluster(group_sponsor) + +Linear regression Number of obs = 60,667 + F(291, 4745) = . + Prob > F = . + R-squared = 0.1474 + Root MSE = 11.177 + + (Std. Err. adjusted for 4,746 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + pct_cosponsors_fem | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 2.34888 .2910349 8.07 0.000 1.778317 2.919444 + | + v2 | + 102 | -.6536303 .2558877 -2.55 0.011 -1.155289 -.1519716 + 103 | 1.197021 .4342774 2.76 0.006 .3456357 2.048406 + 104 | 1.596726 .4644195 3.44 0.001 .6862482 2.507204 + 105 | 3.236503 .4495044 7.20 0.000 2.355266 4.11774 + 106 | 4.545343 .455261 9.98 0.000 3.65282 5.437865 + 107 | 5.74685 .4969404 11.56 0.000 4.772617 6.721084 + 108 | 7.838587 1.193657 6.57 0.000 5.498465 10.17871 + 109 | 7.444386 1.190316 6.25 0.000 5.110815 9.777957 + 110 | 8.412576 1.176051 7.15 0.000 6.10697 10.71818 + 111 | 8.82733 1.18547 7.45 0.000 6.503259 11.1514 + | + minor | + 101 | 2.393902 2.128373 1.12 0.261 -1.778697 6.5665 + 103 | -3.021728 3.026391 -1.00 0.318 -8.95486 2.911404 + 104 | -.1246817 1.403 -0.09 0.929 -2.875212 2.625849 + 105 | 1.784116 1.176317 1.52 0.129 -.5220107 4.090243 + 107 | 2.164393 1.064444 2.03 0.042 .0775896 4.251196 + 108 | 1.080986 1.417534 0.76 0.446 -1.698037 3.86001 + 110 | .7678832 4.475338 0.17 0.864 -8.005856 9.541623 + 200 | 3.474076 1.269152 2.74 0.006 .985949 5.962204 + 201 | 5.14452 1.930648 2.66 0.008 1.359554 8.929486 + 202 | 10.90051 1.908154 5.71 0.000 7.159641 14.64137 + 204 | 4.420546 2.092954 2.11 0.035 .3173843 8.523708 + 205 | 1.338498 1.77865 0.75 0.452 -2.148482 4.825477 + 206 | 4.275595 1.443925 2.96 0.003 1.444831 7.106359 + 207 | 3.574034 1.247355 2.87 0.004 1.12864 6.019428 + 208 | 3.861999 1.238281 3.12 0.002 1.434394 6.289604 + 209 | -1.081864 4.713458 -0.23 0.818 -10.32243 8.158701 + 299 | 3.047012 1.673564 1.82 0.069 -.2339494 6.327974 + 300 | 2.742477 1.394422 1.97 0.049 .0087629 5.47619 + 301 | 3.542773 1.169224 3.03 0.002 1.250551 5.834994 + 302 | 3.264862 1.079321 3.02 0.003 1.148892 5.380831 + 321 | 4.225835 1.222396 3.46 0.001 1.82937 6.622299 + 322 | 1.837484 1.170393 1.57 0.116 -.4570284 4.131997 + 323 | 3.299193 1.219319 2.71 0.007 .9087618 5.689625 + 324 | 1.164586 1.244918 0.94 0.350 -1.276031 3.605202 + 325 | 4.950105 1.206937 4.10 0.000 2.583948 7.316262 + 331 | 7.532611 1.243949 6.06 0.000 5.093893 9.971329 + 332 | 6.490732 1.201178 5.40 0.000 4.135865 8.8456 + 333 | 10.22573 1.456939 7.02 0.000 7.36945 13.082 + 334 | 5.304474 1.167671 4.54 0.000 3.015297 7.593652 + 335 | 2.362862 1.235706 1.91 0.056 -.0596944 4.785418 + 336 | 5.704817 1.291657 4.42 0.000 3.17257 8.237063 + 341 | 6.093115 1.43248 4.25 0.000 3.284791 8.90144 + 342 | 4.767048 3.138685 1.52 0.129 -1.386232 10.92033 + 343 | 3.621722 1.618545 2.24 0.025 .4486225 6.794821 + 344 | 4.964162 2.000447 2.48 0.013 1.042358 8.885966 + 398 | 6.739619 1.230667 5.48 0.000 4.32694 9.152298 + 399 | 4.618506 1.922466 2.40 0.016 .8495806 8.387431 + 400 | .2296784 1.284314 0.18 0.858 -2.288173 2.74753 + 401 | 2.116413 1.433142 1.48 0.140 -.6932093 4.926035 + 402 | 1.337081 1.146772 1.17 0.244 -.9111243 3.585287 + 403 | 5.746873 1.425502 4.03 0.000 2.952229 8.541518 + 404 | .4751416 1.339947 0.35 0.723 -2.151776 3.102059 + 405 | 3.322597 1.653417 2.01 0.045 .0811337 6.564061 + 498 | 2.678334 1.826312 1.47 0.143 -.9020853 6.258754 + 499 | 4.318911 1.796958 2.40 0.016 .796039 7.841783 + 500 | 2.096445 2.103305 1.00 0.319 -2.02701 6.219899 + 501 | .8643489 1.282287 0.67 0.500 -1.649529 3.378226 + 502 | 2.502662 1.234332 2.03 0.043 .0827982 4.922525 + 503 | 3.097736 1.072077 2.89 0.004 .9959686 5.199504 + 504 | 1.73496 1.237302 1.40 0.161 -.6907252 4.160646 + 505 | 3.140153 1.325924 2.37 0.018 .5407261 5.73958 + 506 | 6.181849 1.697803 3.64 0.000 2.853367 9.510331 + 508 | 6.715681 1.419443 4.73 0.000 3.932915 9.498448 + 529 | 1.205801 1.647793 0.73 0.464 -2.024638 4.436241 + 530 | 3.221877 1.117617 2.88 0.004 1.030829 5.412925 + 599 | .3798406 2.37089 0.16 0.873 -4.268204 5.027885 + 600 | 2.69331 1.298294 2.07 0.038 .1480514 5.238569 + 601 | 3.179959 1.088385 2.92 0.003 1.046219 5.313698 + 602 | 3.935394 1.123578 3.50 0.000 1.73266 6.138128 + 603 | 5.616024 1.522773 3.69 0.000 2.630681 8.601367 + 604 | 2.75395 2.266574 1.22 0.224 -1.689587 7.197486 + 606 | 2.682541 1.619531 1.66 0.098 -.4924907 5.857572 + 607 | 3.413378 1.20874 2.82 0.005 1.043687 5.783069 + 609 | 2.432692 1.990141 1.22 0.222 -1.468909 6.334293 + 698 | 3.522342 3.117292 1.13 0.259 -2.588996 9.633681 + 699 | 1.9124 1.487823 1.29 0.199 -1.004423 4.829223 + 700 | 4.046678 1.29763 3.12 0.002 1.502722 6.590634 + 701 | 3.708128 1.291459 2.87 0.004 1.176269 6.239986 + 703 | 1.967464 1.250654 1.57 0.116 -.4843979 4.419325 + 704 | 2.064204 1.180927 1.75 0.081 -.2509608 4.379368 + 705 | .3585405 1.202671 0.30 0.766 -1.999252 2.716333 + 707 | 4.747565 1.58404 3.00 0.003 1.642112 7.853019 + 708 | 7.86096 2.271289 3.46 0.001 3.408179 12.31374 + 709 | 3.64899 1.141459 3.20 0.001 1.411201 5.88678 + 710 | 2.332288 1.172564 1.99 0.047 .0335177 4.631058 + 711 | 3.336886 1.342457 2.49 0.013 .7050475 5.968725 + 798 | 3.859131 1.853442 2.08 0.037 .2255257 7.492737 + 799 | 3.671098 2.380267 1.54 0.123 -.9953304 8.337526 + 800 | 1.969599 1.372022 1.44 0.151 -.7202019 4.659399 + 801 | .887172 1.408985 0.63 0.529 -1.875092 3.649436 + 802 | .6020364 1.257236 0.48 0.632 -1.86273 3.066802 + 803 | 1.722914 1.13349 1.52 0.129 -.499253 3.945081 + 805 | .4617564 1.568245 0.29 0.768 -2.612731 3.536244 + 806 | 1.935717 1.225569 1.58 0.114 -.4669668 4.338401 + 807 | .7636923 1.242369 0.61 0.539 -1.671928 3.199312 + 898 | 1.315369 1.68894 0.78 0.436 -1.995738 4.626475 + 899 | 2.862647 3.576769 0.80 0.424 -4.14948 9.874773 + 1000 | 1.884314 1.361971 1.38 0.167 -.7857819 4.55441 + 1001 | 3.261385 1.705562 1.91 0.056 -.0823071 6.605078 + 1002 | .5700695 1.16108 0.49 0.623 -1.706186 2.846325 + 1003 | 1.304329 1.142604 1.14 0.254 -.9357056 3.544363 + 1005 | 2.578932 1.43134 1.80 0.072 -.2271583 5.385022 + 1006 | 2.248275 1.219335 1.84 0.065 -.1421868 4.638737 + 1007 | .8686287 1.142928 0.76 0.447 -1.37204 3.109298 + 1010 | 1.739193 1.766338 0.98 0.325 -1.723649 5.202034 + 1098 | -1.509648 2.335894 -0.65 0.518 -6.089084 3.069789 + 1099 | 5.057893 3.578454 1.41 0.158 -1.957538 12.07332 + 1200 | .5300223 1.426349 0.37 0.710 -2.266284 3.326329 + 1201 | 3.395842 1.262208 2.69 0.007 .9213281 5.870357 + 1202 | 2.213778 1.852574 1.19 0.232 -1.418126 5.845682 + 1203 | 2.395885 1.23421 1.94 0.052 -.0237388 4.81551 + 1204 | .6817975 1.151305 0.59 0.554 -1.575295 2.93889 + 1205 | 1.465191 1.2528 1.17 0.242 -.9908788 3.921261 + 1206 | 3.375148 1.927274 1.75 0.080 -.4032038 7.153499 + 1207 | 4.883496 1.34918 3.62 0.000 2.238477 7.528515 + 1208 | 7.780747 1.221765 6.37 0.000 5.385521 10.17597 + 1209 | 4.429133 1.179207 3.76 0.000 2.117339 6.740926 + 1210 | 2.279795 1.180577 1.93 0.054 -.0346841 4.594274 + 1211 | 4.364654 1.44209 3.03 0.002 1.537489 7.191819 + 1299 | 5.273658 2.375868 2.22 0.026 .6158531 9.931463 + 1300 | 5.35491 1.533246 3.49 0.000 2.349036 8.360783 + 1301 | 4.481735 1.398509 3.20 0.001 1.740009 7.223462 + 1302 | 1.962816 1.384533 1.42 0.156 -.7515115 4.677143 + 1303 | 2.824478 1.149626 2.46 0.014 .5706776 5.078279 + 1304 | 3.892621 1.263322 3.08 0.002 1.415924 6.369319 + 1305 | 2.047303 1.406054 1.46 0.145 -.7092158 4.803822 + 1399 | 2.178892 2.217863 0.98 0.326 -2.169149 6.526933 + 1400 | 2.170894 1.341365 1.62 0.106 -.4588041 4.800593 + 1401 | 3.69528 1.36657 2.70 0.007 1.016168 6.374392 + 1403 | 3.503599 1.499984 2.34 0.020 .5629343 6.444264 + 1404 | 2.103941 2.280602 0.92 0.356 -2.367098 6.574979 + 1405 | .0559145 1.28133 0.04 0.965 -2.456087 2.567916 + 1406 | 2.29622 1.282867 1.79 0.074 -.2187951 4.811234 + 1407 | 3.31474 1.416349 2.34 0.019 .5380385 6.091442 + 1408 | 3.142282 2.019848 1.56 0.120 -.8175581 7.102121 + 1409 | 6.799152 1.761265 3.86 0.000 3.346256 10.25205 + 1410 | 3.242681 1.477985 2.19 0.028 .3451435 6.140218 + 1499 | -.3787161 1.829549 -0.21 0.836 -3.965481 3.208049 + 1500 | 2.121495 1.439534 1.47 0.141 -.7006589 4.943649 + 1501 | 1.844727 1.132909 1.63 0.104 -.3762991 4.065754 + 1502 | .4744528 1.149338 0.41 0.680 -1.778783 2.727688 + 1504 | 4.150511 1.251822 3.32 0.001 1.69636 6.604662 + 1505 | 3.741396 1.42896 2.62 0.009 .939971 6.542821 + 1507 | 1.427477 1.533917 0.93 0.352 -1.579712 4.434666 + 1520 | .6299514 1.23252 0.51 0.609 -1.786361 3.046263 + 1521 | 3.875315 1.196435 3.24 0.001 1.529748 6.220882 + 1522 | 2.544459 1.503738 1.69 0.091 -.4035646 5.492483 + 1523 | 2.175417 1.151545 1.89 0.059 -.0821459 4.43298 + 1524 | 4.438718 2.501629 1.77 0.076 -.4656352 9.343071 + 1525 | 3.864886 1.251205 3.09 0.002 1.411944 6.317828 + 1526 | .7207831 1.330448 0.54 0.588 -1.887513 3.329079 + 1599 | 3.702119 1.464075 2.53 0.011 .8318529 6.572386 + 1600 | 1.635367 1.427917 1.15 0.252 -1.164012 4.434747 + 1602 | 2.32107 1.752937 1.32 0.186 -1.1155 5.757641 + 1603 | .6211763 1.61114 0.39 0.700 -2.537405 3.779758 + 1604 | -.2612104 1.595831 -0.16 0.870 -3.389779 2.867358 + 1605 | 1.989859 1.526062 1.30 0.192 -1.001932 4.98165 + 1606 | 2.479174 1.835831 1.35 0.177 -1.119906 6.078254 + 1608 | 2.88616 1.110662 2.60 0.009 .7087464 5.063573 + 1609 | 3.680066 1.106971 3.32 0.001 1.509889 5.850243 + 1610 | 1.969679 1.635266 1.20 0.228 -1.236201 5.17556 + 1611 | -.6892851 1.286091 -0.54 0.592 -3.210621 1.832051 + 1612 | 2.563898 1.321184 1.94 0.052 -.026235 5.154032 + 1614 | 4.189145 2.054446 2.04 0.041 .1614773 8.216812 + 1615 | 1.414421 1.357084 1.04 0.297 -1.246093 4.074936 + 1616 | 1.3449 1.412219 0.95 0.341 -1.423704 4.113504 + 1617 | 1.061344 1.741948 0.61 0.542 -2.353683 4.476371 + 1619 | 3.268553 1.432597 2.28 0.023 .4599974 6.077108 + 1620 | -.8051402 1.634694 -0.49 0.622 -4.009899 2.399619 + 1698 | .4526627 2.531361 0.18 0.858 -4.50998 5.415305 + 1699 | 3.563907 1.351053 2.64 0.008 .9152168 6.212597 + 1700 | 2.443052 1.706241 1.43 0.152 -.9019733 5.788077 + 1701 | .1360122 1.439121 0.09 0.925 -2.685333 2.957358 + 1704 | 2.65563 2.14926 1.24 0.217 -1.557916 6.869176 + 1705 | 2.702163 2.406221 1.12 0.261 -2.015147 7.419472 + 1706 | 2.728217 1.308944 2.08 0.037 .1620787 5.294355 + 1707 | 3.087552 1.294049 2.39 0.017 .550616 5.624489 + 1708 | 2.297148 1.623457 1.41 0.157 -.8855809 5.479877 + 1709 | 4.586581 1.459499 3.14 0.002 1.725285 7.447877 + 1798 | 5.390823 1.682104 3.20 0.001 2.093119 8.688528 + 1799 | 3.127941 2.464664 1.27 0.204 -1.703944 7.959825 + 1800 | 1.816234 1.353949 1.34 0.180 -.838134 4.470601 + 1802 | 2.555714 1.196369 2.14 0.033 .2102743 4.901153 + 1803 | 1.962092 1.301201 1.51 0.132 -.588866 4.51305 + 1804 | .4731278 1.387222 0.34 0.733 -2.246471 3.192726 + 1806 | 4.19707 1.607819 2.61 0.009 1.044999 7.349142 + 1807 | -2.796839 1.069775 -2.61 0.009 -4.894095 -.6995832 + 1808 | 1.204608 2.406004 0.50 0.617 -3.512277 5.921493 + 1899 | -.886153 3.030437 -0.29 0.770 -6.827217 5.054911 + 1900 | 1.868192 1.821524 1.03 0.305 -1.702841 5.439224 + 1901 | 3.51629 1.298502 2.71 0.007 .9706231 6.061958 + 1902 | 2.678295 1.375194 1.95 0.052 -.0177234 5.374313 + 1905 | 9.432957 1.853923 5.09 0.000 5.798408 13.06751 + 1906 | 2.303897 1.419423 1.62 0.105 -.4788311 5.086624 + 1907 | 4.56433 2.212785 2.06 0.039 .2262443 8.902417 + 1908 | .1167035 1.644494 0.07 0.943 -3.107269 3.340676 + 1909 | 1.647753 1.765293 0.93 0.351 -1.81304 5.108547 + 1910 | -.1728766 1.846785 -0.09 0.925 -3.793432 3.447679 + 1911 | 2.109139 2.150738 0.98 0.327 -2.107306 6.325584 + 1912 | -1.31437 3.264382 -0.40 0.687 -7.714073 5.085334 + 1914 | 4.442146 1.598445 2.78 0.005 1.308452 7.57584 + 1915 | 1.004169 1.840622 0.55 0.585 -2.604305 4.612643 + 1919 | 2.230724 1.80696 1.23 0.217 -1.311755 5.773203 + 1920 | 1.889038 1.37007 1.38 0.168 -.7969348 4.57501 + 1925 | 6.259098 1.466785 4.27 0.000 3.383519 9.134677 + 1926 | 2.729755 1.44123 1.89 0.058 -.0957236 5.555234 + 1927 | 1.678303 1.499042 1.12 0.263 -1.260515 4.617122 + 1929 | 1.321737 1.453703 0.91 0.363 -1.528195 4.171669 + 1999 | .6919255 4.215142 0.16 0.870 -7.57171 8.955561 + 2000 | .8248466 1.133759 0.73 0.467 -1.397847 3.04754 + 2001 | 1.197547 1.26206 0.95 0.343 -1.276677 3.67177 + 2002 | .763547 1.149676 0.66 0.507 -1.490351 3.017445 + 2003 | 1.733851 1.307244 1.33 0.185 -.8289533 4.296655 + 2004 | 2.667936 1.107422 2.41 0.016 .4968746 4.838998 + 2005 | 1.037879 1.972769 0.53 0.599 -2.829664 4.905422 + 2006 | 3.555862 1.177503 3.02 0.003 1.24741 5.864314 + 2007 | 1.105243 1.412084 0.78 0.434 -1.663097 3.873583 + 2008 | 2.643363 1.10159 2.40 0.016 .4837353 4.80299 + 2009 | 2.218736 1.606543 1.38 0.167 -.9308336 5.368305 + 2010 | -13.33601 1.141631 -11.68 0.000 -15.57414 -11.09789 + 2011 | 1.195474 1.118962 1.07 0.285 -.9982105 3.389159 + 2012 | 1.421396 1.119328 1.27 0.204 -.7730054 3.615798 + 2013 | 2.47372 1.85943 1.33 0.183 -1.171626 6.119065 + 2014 | -.6800842 1.390702 -0.49 0.625 -3.406505 2.046337 + 2015 | .2648967 1.593627 0.17 0.868 -2.859353 3.389146 + 2030 | 1.790134 1.734012 1.03 0.302 -1.609335 5.189603 + 2099 | 1.843458 1.621143 1.14 0.256 -1.334735 5.021652 + 2100 | -1.271195 1.210864 -1.05 0.294 -3.645051 1.102662 + 2101 | 1.055585 1.093346 0.97 0.334 -1.087881 3.199051 + 2102 | -.2752077 1.129359 -0.24 0.807 -2.489276 1.93886 + 2103 | 1.678022 1.112071 1.51 0.131 -.5021522 3.858197 + 2104 | .2739512 1.13806 0.24 0.810 -1.957174 2.505076 + 2105 | .2316309 1.534134 0.15 0.880 -2.775984 3.239246 + 2199 | -3.47254 1.727452 -2.01 0.044 -6.859148 -.0859316 + 9999 | -.8763938 1.707486 -0.51 0.608 -4.223858 2.471071 + | + house_administration | .0938292 .4050873 0.23 0.817 -.7003298 .8879883 + house_agriculture | .4421346 .2962537 1.49 0.136 -.1386602 1.022929 + house_appropriations | -2.721528 .5797016 -4.69 0.000 -3.858012 -1.585043 + house_armedservices | .2554331 .2963129 0.86 0.389 -.3254777 .836344 + house_budget | -.1435533 .5105477 -0.28 0.779 -1.144464 .8573572 + house_dc | 2.694747 2.057711 1.31 0.190 -1.339322 6.728816 + house_educlabor | 1.200599 .2401103 5.00 0.000 .7298713 1.671326 + house_energycommerce | 1.0336 .1879004 5.50 0.000 .6652279 1.401972 + house_foreignaffairs | 1.174847 .4278759 2.75 0.006 .3360117 2.013682 + house_governmentop | .6973166 .5190046 1.34 0.179 -.3201733 1.714807 + house_intelligence | .1787096 .9797942 0.18 0.855 -1.742142 2.099561 + house_interior | .502986 .3561494 1.41 0.158 -.195232 1.201204 + house_judiciary | .0830495 .2104762 0.39 0.693 -.3295816 .4956805 + house_mmf | .7793434 .4510419 1.73 0.084 -.1049081 1.663595 + house_pocs | 1.060088 .4336488 2.44 0.015 .2099351 1.910241 + house_pwt | .5122764 .3375337 1.52 0.129 -.1494464 1.173999 + house_rules | -.4361455 .3504822 -1.24 0.213 -1.123253 .2509622 + house_sst | -.2005103 .660633 -0.30 0.762 -1.495658 1.094637 + house_smallbusi | 1.102665 1.136839 0.97 0.332 -1.126068 3.331398 + house_soc | 6.372927 2.679806 2.38 0.017 1.119262 11.62659 + house_veterans | .2402549 .344268 0.70 0.485 -.4346702 .9151799 + house_waysandmeans | -.579337 .1552082 -3.73 0.000 -.8836171 -.2750568 +house_naturalresources | .0113377 .4712024 0.02 0.981 -.9124377 .9351131 + house_bfs | 1.630826 .2859708 5.70 0.000 1.07019 2.191461 + house_eeo | .2544139 .6770385 0.38 0.707 -1.072896 1.581724 + house_govreform | 1.263714 .3070441 4.12 0.000 .6617646 1.865663 + house_ir | .9813716 .5017017 1.96 0.051 -.0021965 1.96494 + house_natsecur | .4216931 .6466833 0.65 0.514 -.8461063 1.689492 + house_oversight | .141663 .453527 0.31 0.755 -.7474603 1.030786 + house_resources | -.9305684 .3194034 -2.91 0.004 -1.556747 -.3043896 + house_science | .2478784 .4957228 0.50 0.617 -.7239682 1.219725 + house_transp | -.5379374 .2680487 -2.01 0.045 -1.063437 -.0124375 + house_homeland | 1.665399 .8242014 2.02 0.043 .0495813 3.281216 + sponsor_democrat | 2.896687 .1720134 16.84 0.000 2.55946 3.233913 + sponsor_rookie | -.3951762 .2572102 -1.54 0.125 -.8994277 .1090752 + sponsor_tenure_run | -.0613927 .0346679 -1.77 0.077 -.129358 .0065725 + sponsor_age | .0238984 .0099395 2.40 0.016 .0044124 .0433844 + leader | .4521646 .2580636 1.75 0.080 -.0537598 .9580891 + ivycoll | -.8360544 .254235 -3.29 0.001 -1.334473 -.3376359 + black | .8113891 .4863047 1.67 0.095 -.1419937 1.764772 + occ0 | .7879894 .2784557 2.83 0.005 .242087 1.333892 + occ1 | .1656623 .2983395 0.56 0.579 -.4192215 .7505462 + occ2 | .6387234 .2292273 2.79 0.005 .1893316 1.088115 + occ3 | -.1465316 .3217308 -0.46 0.649 -.7772732 .48421 + occ4 | .0916687 .2506485 0.37 0.715 -.3997186 .5830561 + borninstate | .0005726 .1684136 0.00 0.997 -.3295963 .3307414 + tot_bills | -.039156 .0071317 -5.49 0.000 -.0531374 -.0251746 + NE | .6643929 .2303718 2.88 0.004 .2127572 1.116029 + MW | .8910333 .2104088 4.23 0.000 .4785345 1.303532 + WE | 1.714893 .2750387 6.24 0.000 1.175689 2.254097 + pct_black | -.5635858 .9815801 -0.57 0.566 -2.487938 1.360767 + pct_urban | .3298069 .5292154 0.62 0.533 -.707701 1.367315 + pct_for_born | 3.71088 1.383459 2.68 0.007 .998658 6.423101 + pct_age_over65 | 7.653249 2.180003 3.51 0.000 3.379433 11.92707 + lninc | 2.11401 .4864644 4.35 0.000 1.160314 3.067706 + lnpden | .1780575 .0741157 2.40 0.016 .0327563 .3233588 + _cons | -25.53482 4.962348 -5.15 0.000 -35.26332 -15.80631 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,746 1 0 1 1 + + +j = 1 k = 2 + + +rdbwselect_2014 pct_cosponsors_fem MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6186 +----------------------+---------------------- NN matches = 3 + Number of obs | 2192 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 22.32219 41.09859 .5431375 +---------------------------------------------- +reg pct_cosponsors_fem sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 o +> cc4 borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if sponsor_party==100 & tag_bill==1, robust cluster(group_sponsor) +note: sponsor_democrat omitted because of collinearity + +Linear regression Number of obs = 32,845 + F(290, 2491) = . + Prob > F = . + R-squared = 0.1607 + Root MSE = 12.262 + + (Std. Err. adjusted for 2,492 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + pct_cosponsors_fem | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 2.523107 .3871292 6.52 0.000 1.763979 3.282235 + | + v2 | + 102 | -.4466815 .3039671 -1.47 0.142 -1.042736 .1493726 + 103 | 2.010681 .6092818 3.30 0.001 .8159298 3.205432 + 104 | 1.788254 .6976657 2.56 0.010 .4201893 3.156318 + 105 | 4.829145 .7036288 6.86 0.000 3.449388 6.208903 + 106 | 6.333521 .6805876 9.31 0.000 4.998945 7.668096 + 107 | 8.089429 .7443844 10.87 0.000 6.629753 9.549105 + 108 | 8.100648 1.818316 4.46 0.000 4.535082 11.66621 + 109 | 6.931384 1.845189 3.76 0.000 3.313122 10.54965 + 110 | 8.99569 1.80564 4.98 0.000 5.45498 12.5364 + 111 | 9.440524 1.791877 5.27 0.000 5.926802 12.95424 + | + minor | + 101 | 4.433911 3.412521 1.30 0.194 -2.257758 11.12558 + 103 | -4.807506 3.944058 -1.22 0.223 -12.54148 2.926465 + 104 | -.0812337 2.139139 -0.04 0.970 -4.275907 4.113439 + 105 | 2.377619 1.721199 1.38 0.167 -.9975093 5.752747 + 107 | 2.418868 1.688677 1.43 0.152 -.8924872 5.730223 + 108 | 2.107158 2.033861 1.04 0.300 -1.881074 6.095389 + 110 | 5.940184 7.297764 0.81 0.416 -8.370124 20.25049 + 200 | 5.417429 1.963221 2.76 0.006 1.567716 9.267141 + 201 | 6.588584 2.352573 2.80 0.005 1.975385 11.20178 + 202 | 12.12566 2.338139 5.19 0.000 7.540768 16.71056 + 204 | 3.598173 2.901894 1.24 0.215 -2.0922 9.288547 + 205 | 1.661118 2.855437 0.58 0.561 -3.938156 7.260392 + 206 | 5.694005 2.178999 2.61 0.009 1.421169 9.96684 + 207 | 7.692695 2.047461 3.76 0.000 3.677794 11.70759 + 208 | 4.476712 1.956437 2.29 0.022 .6403017 8.313122 + 209 | 1.822116 6.61046 0.28 0.783 -11.14045 14.78468 + 299 | 5.639649 3.804483 1.48 0.138 -1.820626 13.09992 + 300 | 4.328436 2.089435 2.07 0.038 .2312282 8.425644 + 301 | 4.20231 1.77142 2.37 0.018 .728704 7.675917 + 302 | 3.585856 1.672918 2.14 0.032 .3054044 6.866308 + 321 | 3.809404 1.840604 2.07 0.039 .2001333 7.418674 + 322 | .847282 1.772634 0.48 0.633 -2.628706 4.32327 + 323 | 4.297168 1.909477 2.25 0.025 .5528437 8.041493 + 324 | 2.54698 1.973248 1.29 0.197 -1.322396 6.416356 + 325 | 5.401862 1.820333 2.97 0.003 1.83234 8.971383 + 331 | 7.702847 1.831723 4.21 0.000 4.110991 11.2947 + 332 | 6.743635 1.7781 3.79 0.000 3.256929 10.23034 + 333 | 10.16698 1.965553 5.17 0.000 6.312689 14.02126 + 334 | 5.57698 1.768415 3.15 0.002 2.109264 9.044696 + 335 | 2.610965 1.847067 1.41 0.158 -1.010981 6.23291 + 336 | 6.47834 1.957054 3.31 0.001 2.64072 10.31596 + 341 | 6.432672 2.023968 3.18 0.001 2.463839 10.4015 + 342 | 2.851788 3.236049 0.88 0.378 -3.493834 9.19741 + 343 | 6.231576 2.383393 2.61 0.009 1.557942 10.90521 + 344 | 6.001953 2.522012 2.38 0.017 1.056498 10.94741 + 398 | 8.136799 1.900866 4.28 0.000 4.409359 11.86424 + 399 | 3.98149 2.619272 1.52 0.129 -1.154685 9.117664 + 400 | 2.241318 2.09409 1.07 0.285 -1.865018 6.347654 + 401 | 3.878059 2.443135 1.59 0.113 -.9127246 8.668843 + 402 | 1.52527 1.792545 0.85 0.395 -1.989762 5.040302 + 403 | 7.50654 2.019011 3.72 0.000 3.547428 11.46565 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7.386597 2.148508 3.44 0.001 3.173552 11.59964 + 604 | 4.043304 3.2117 1.26 0.208 -2.254573 10.34118 + 606 | 3.576423 2.427578 1.47 0.141 -1.183855 8.336702 + 607 | 3.95015 1.815756 2.18 0.030 .3896037 7.510697 + 609 | 3.17707 3.160226 1.01 0.315 -3.019871 9.374011 + 698 | 4.30519 4.215685 1.02 0.307 -3.961417 12.5718 + 699 | 2.952385 2.135542 1.38 0.167 -1.235235 7.140006 + 700 | 6.268542 1.993272 3.14 0.002 2.359903 10.17718 + 701 | 5.249493 1.975313 2.66 0.008 1.376069 9.122916 + 703 | 2.990881 1.89068 1.58 0.114 -.7165858 6.698348 + 704 | 3.702876 1.849345 2.00 0.045 .0764655 7.329287 + 705 | 1.455834 1.897926 0.77 0.443 -2.265842 5.177509 + 707 | 5.964418 2.17435 2.74 0.006 1.700698 10.22814 + 708 | 9.860916 2.888367 3.41 0.001 4.197068 15.52476 + 709 | 5.467871 1.754009 3.12 0.002 2.028406 8.907336 + 710 | 3.637934 1.833964 1.98 0.047 .0416831 7.234185 + 711 | 4.507684 2.263539 1.99 0.047 .0690719 8.946295 + 798 | 5.251339 2.686931 1.95 0.051 -.0175093 10.52019 + 799 | 4.792553 3.904933 1.23 0.220 -2.864696 12.4498 + 800 | 3.437857 2.083588 1.65 0.099 -.6478863 7.5236 + 801 | 1.466934 2.092113 0.70 0.483 -2.635526 5.569393 + 802 | .9862699 1.955416 0.50 0.614 -2.848138 4.820678 + 803 | 2.688761 1.789915 1.50 0.133 -.8211133 6.198636 + 805 | 2.146066 2.376222 0.90 0.367 -2.513508 6.80564 + 806 | 2.000167 1.833126 1.09 0.275 -1.59444 5.594774 + 807 | 1.197454 1.895925 0.63 0.528 -2.520296 4.915205 + 898 | 3.272167 2.303021 1.42 0.155 -1.243866 7.7882 + 899 | 6.778035 5.812727 1.17 0.244 -4.620239 18.17631 + 1000 | 2.229026 2.075341 1.07 0.283 -1.840545 6.298598 + 1001 | 3.22968 2.606526 1.24 0.215 -1.881501 8.340861 + 1002 | 1.068539 1.853087 0.58 0.564 -2.565211 4.702289 + 1003 | 1.456978 1.80162 0.81 0.419 -2.07585 4.989805 + 1005 | 2.386194 2.126545 1.12 0.262 -1.783784 6.556171 + 1006 | 2.223516 1.859865 1.20 0.232 -1.423525 5.870556 + 1007 | 1.072921 1.771369 0.61 0.545 -2.400585 4.546427 + 1010 | 2.634645 2.527767 1.04 0.297 -2.322095 7.591385 + 1098 | -.3657452 3.591942 -0.10 0.919 -7.409244 6.677754 + 1099 | 14.44542 7.079275 2.04 0.041 .5635545 28.32729 + 1200 | 1.190873 2.293476 0.52 0.604 -3.306442 5.688188 + 1201 | 3.506586 1.893447 1.85 0.064 -.2063066 7.219478 + 1202 | 3.099498 2.688137 1.15 0.249 -2.171715 8.370711 + 1203 | 2.645465 1.892244 1.40 0.162 -1.065068 6.355997 + 1204 | 2.305336 1.850239 1.25 0.213 -1.322828 5.9335 + 1205 | 2.533103 1.998548 1.27 0.205 -1.385883 6.452088 + 1206 | 5.15612 2.798339 1.84 0.066 -.3311894 10.64343 + 1207 | 4.816407 2.152568 2.24 0.025 .5954008 9.037414 + 1208 | 9.313604 1.850961 5.03 0.000 5.684023 12.94319 + 1209 | 5.743567 1.84206 3.12 0.002 2.131441 9.355694 + 1210 | 2.851196 1.879568 1.52 0.129 -.8344802 6.536872 + 1211 | 4.814268 2.242449 2.15 0.032 .4170118 9.211524 + 1299 | 7.266011 3.344377 2.17 0.030 .7079648 13.82406 + 1300 | 8.511568 2.35178 3.62 0.000 3.899923 13.12321 + 1301 | 4.7022 1.950536 2.41 0.016 .8773605 8.527039 + 1302 | 2.460675 2.064259 1.19 0.233 -1.587165 6.508516 + 1303 | 3.734991 1.837372 2.03 0.042 .1320572 7.337925 + 1304 | 5.420589 1.940694 2.79 0.005 1.61505 9.226129 + 1305 | 2.803406 2.100584 1.33 0.182 -1.315663 6.922476 + 1399 | 4.081011 4.3196 0.94 0.345 -4.389365 12.55139 + 1400 | 2.952233 2.00242 1.47 0.141 -.9743468 6.878813 + 1401 | 5.253573 2.079758 2.53 0.012 1.175342 9.331805 + 1403 | 3.413988 2.045623 1.67 0.095 -.5973093 7.425285 + 1404 | 4.295324 3.684235 1.17 0.244 -2.929154 11.5198 + 1405 | 1.776931 1.969216 0.90 0.367 -2.084538 5.6384 + 1406 | 3.771383 1.923303 1.96 0.050 -.0000527 7.54282 + 1407 | 3.935227 1.976801 1.99 0.047 .0588855 7.811569 + 1408 | 4.403601 2.65887 1.66 0.098 -.8102222 9.617423 + 1409 | 8.700431 2.554548 3.41 0.001 3.691175 13.70969 + 1410 | 3.492199 2.195797 1.59 0.112 -.8135762 7.797974 + 1499 | -1.441008 2.199379 -0.66 0.512 -5.753807 2.871791 + 1500 | 1.435131 2.150422 0.67 0.505 -2.781668 5.65193 + 1501 | 2.549527 1.737673 1.47 0.142 -.857905 5.956959 + 1502 | 1.572189 1.771296 0.89 0.375 -1.901175 5.045554 + 1504 | 5.270006 1.835447 2.87 0.004 1.670846 8.869166 + 1505 | 3.625082 2.152859 1.68 0.092 -.5964943 7.846659 + 1507 | -1.284447 2.093059 -0.61 0.539 -5.388761 2.819868 + 1520 | 1.857724 1.890292 0.98 0.326 -1.848981 5.56443 + 1521 | 5.603771 1.861129 3.01 0.003 1.954252 9.253291 + 1522 | 1.63778 1.946197 0.84 0.400 -2.17855 5.454111 + 1523 | 3.122207 1.776332 1.76 0.079 -.3610327 6.605448 + 1524 | 3.903239 3.62665 1.08 0.282 -3.208319 11.0148 + 1525 | 5.293794 1.851912 2.86 0.004 1.662348 8.92524 + 1526 | -1.364782 1.939698 -0.70 0.482 -5.168369 2.438804 + 1599 | 4.378263 2.41913 1.81 0.070 -.3654497 9.121975 + 1600 | 4.495938 2.177549 2.06 0.039 .2259451 8.76593 + 1602 | 3.065794 2.515254 1.22 0.223 -1.866411 7.997998 + 1603 | 2.617209 2.673587 0.98 0.328 -2.625472 7.85989 + 1604 | -.0518953 2.318888 -0.02 0.982 -4.599042 4.495251 + 1605 | 3.041462 2.181169 1.39 0.163 -1.235629 7.318553 + 1606 | 5.455547 2.662132 2.05 0.041 .2353271 10.67577 + 1608 | 3.022728 1.702553 1.78 0.076 -.3158365 6.361292 + 1609 | 4.309488 1.717279 2.51 0.012 .9420459 7.676929 + 1610 | 1.788753 2.250831 0.79 0.427 -2.624939 6.202445 + 1611 | -.3766185 1.92377 -0.20 0.845 -4.148971 3.395734 + 1612 | 3.622634 2.05161 1.77 0.078 -.4004029 7.645671 + 1614 | 3.896821 2.4536 1.59 0.112 -.914485 8.708127 + 1615 | 2.510722 2.06018 1.22 0.223 -1.529119 6.550563 + 1616 | 2.344671 2.191171 1.07 0.285 -1.952034 6.641375 + 1617 | -.9151912 2.344992 -0.39 0.696 -5.513525 3.683143 + 1619 | 5.829137 2.101252 2.77 0.006 1.708757 9.949517 + 1620 | -.2925748 2.42837 -0.12 0.904 -5.054406 4.469256 + 1698 | -1.971633 2.671736 -0.74 0.461 -7.210685 3.267418 + 1699 | 5.131235 2.105787 2.44 0.015 1.001962 9.260508 + 1700 | 4.847346 2.778579 1.74 0.081 -.6012172 10.29591 + 1701 | 2.212571 2.132706 1.04 0.300 -1.969489 6.394631 + 1704 | 1.092648 3.395448 0.32 0.748 -5.565543 7.750838 + 1705 | 4.296738 3.449731 1.25 0.213 -2.467898 11.06137 + 1706 | 4.647374 2.035399 2.28 0.022 .6561272 8.638621 + 1707 | 4.996537 1.980295 2.52 0.012 1.113342 8.879731 + 1708 | 4.80767 2.468754 1.95 0.052 -.0333508 9.648691 + 1709 | 5.63682 2.382638 2.37 0.018 .9646649 10.30897 + 1798 | 5.362655 2.123512 2.53 0.012 1.198625 9.526686 + 1799 | 5.098271 3.637849 1.40 0.161 -2.035249 12.23179 + 1800 | 2.527596 2.09281 1.21 0.227 -1.576231 6.631423 + 1802 | 3.28636 1.882844 1.75 0.081 -.4057397 6.978459 + 1803 | 3.568471 1.929846 1.85 0.065 -.2157967 7.35274 + 1804 | -.1962243 2.111128 -0.09 0.926 -4.335971 3.943523 + 1806 | 7.586844 2.412363 3.14 0.002 2.856401 12.31729 + 1807 | -3.303343 1.668742 -1.98 0.048 -6.575607 -.0310799 + 1808 | 6.069847 4.292929 1.41 0.158 -2.34823 14.48792 + 1899 | 1.225954 5.241301 0.23 0.815 -9.0518 11.50371 + 1900 | 2.53672 2.424359 1.05 0.296 -2.217247 7.290687 + 1901 | 5.028372 1.932943 2.60 0.009 1.238031 8.818713 + 1902 | 3.888953 2.060203 1.89 0.059 -.1509328 7.928839 + 1905 | 11.15891 2.526866 4.42 0.000 6.203934 16.11388 + 1906 | 3.008614 2.196183 1.37 0.171 -1.297918 7.315147 + 1907 | 5.428509 4.984406 1.09 0.276 -4.345496 15.20251 + 1908 | 1.930444 2.668604 0.72 0.470 -3.302467 7.163355 + 1909 | -.6005644 2.499201 -0.24 0.810 -5.501289 4.30016 + 1910 | -.9845787 3.036018 -0.32 0.746 -6.937957 4.9688 + 1911 | 3.447598 2.985828 1.15 0.248 -2.407362 9.302558 + 1912 | -1.823074 4.463457 -0.41 0.683 -10.57554 6.929393 + 1914 | 4.854855 2.289929 2.12 0.034 .3644945 9.345215 + 1915 | 4.840261 2.848442 1.70 0.089 -.7452968 10.42582 + 1919 | 1.396921 3.689508 0.38 0.705 -5.837897 8.631738 + 1920 | 3.844999 2.01174 1.91 0.056 -.0998562 7.789853 + 1925 | 7.387279 2.30658 3.20 0.001 2.864268 11.91029 + 1926 | 4.179142 2.549509 1.64 0.101 -.8202325 9.178516 + 1927 | 1.66441 2.476125 0.67 0.502 -3.191065 6.519884 + 1929 | 1.689972 2.153506 0.78 0.433 -2.532873 5.912818 + 1999 | -.3996644 7.01189 -0.06 0.955 -14.1494 13.35007 + 2000 | 1.809671 1.781964 1.02 0.310 -1.684612 5.303955 + 2001 | 2.144161 2.006411 1.07 0.285 -1.790244 6.078566 + 2002 | .7894478 1.873389 0.42 0.673 -2.884113 4.463009 + 2003 | 2.664204 1.971869 1.35 0.177 -1.202467 6.530875 + 2004 | 3.24366 1.72154 1.88 0.060 -.1321358 6.619456 + 2005 | 1.263398 2.476997 0.51 0.610 -3.593787 6.120583 + 2006 | 3.471287 1.81559 1.91 0.056 -.0889347 7.031508 + 2007 | .5740695 1.999693 0.29 0.774 -3.347163 4.495302 + 2008 | 2.209363 1.704982 1.30 0.195 -1.133964 5.55269 + 2009 | 4.711049 2.66581 1.77 0.077 -.5163834 9.938481 + 2010 | -14.07979 1.740696 -8.09 0.000 -17.49314 -10.66643 + 2011 | 1.226571 1.826721 0.67 0.502 -2.355477 4.808619 + 2012 | 2.68728 1.771595 1.52 0.129 -.786671 6.16123 + 2013 | 5.609481 2.677945 2.09 0.036 .3582542 10.86071 + 2014 | .1958893 2.342119 0.08 0.933 -4.39681 4.788589 + 2015 | 1.575705 2.58541 0.61 0.542 -3.494069 6.645479 + 2030 | 4.664919 3.080143 1.51 0.130 -1.374985 10.70482 + 2099 | 3.045964 2.490222 1.22 0.221 -1.837154 7.929082 + 2100 | 1.62659 2.179433 0.75 0.456 -2.647096 5.900277 + 2101 | 1.192994 1.718865 0.69 0.488 -2.177556 4.563545 + 2102 | -.1001027 1.789006 -0.06 0.955 -3.608195 3.40799 + 2103 | 2.851328 1.731516 1.65 0.100 -.5440307 6.246687 + 2104 | .4450592 1.80576 0.25 0.805 -3.095887 3.986005 + 2105 | -.7739453 2.641332 -0.29 0.770 -5.953377 4.405486 + 2199 | -6.9085 2.791862 -2.47 0.013 -12.38311 -1.433891 + 9999 | -1.419572 2.675023 -0.53 0.596 -6.66507 3.825926 + | + house_administration | .5244378 .6198209 0.85 0.398 -.6909795 1.739855 + house_agriculture | .3674818 .4354564 0.84 0.399 -.4864121 1.221376 + house_appropriations | -4.080523 .6267846 -6.51 0.000 -5.309596 -2.851451 + house_armedservices | .737847 .4397618 1.68 0.094 -.1244893 1.600183 + house_budget | -.6324092 .8363737 -0.76 0.450 -2.272468 1.00765 + house_dc | 1.779794 3.012319 0.59 0.555 -4.127113 7.686701 + house_educlabor | 1.569439 .3185774 4.93 0.000 .9447352 2.194143 + house_energycommerce | 1.089654 .254046 4.29 0.000 .5914912 1.587817 + house_foreignaffairs | 1.386348 .5447822 2.54 0.011 .318076 2.454621 + house_governmentop | 1.335528 .7874981 1.70 0.090 -.2086903 2.879746 + house_intelligence | -.2712176 1.407728 -0.19 0.847 -3.031655 2.48922 + house_interior | .699996 .4920684 1.42 0.155 -.2649091 1.664901 + house_judiciary | .6562004 .3223607 2.04 0.042 .024078 1.288323 + house_mmf | .3220294 .6519184 0.49 0.621 -.9563284 1.600387 + house_pocs | 1.431635 .6060811 2.36 0.018 .2431608 2.62011 + house_pwt | 1.053458 .4715411 2.23 0.026 .1288055 1.978111 + house_rules | -.5698382 .6175959 -0.92 0.356 -1.780892 .6412159 + house_sst | .7817612 .8616523 0.91 0.364 -.9078672 2.47139 + house_smallbusi | -.550899 .9648937 -0.57 0.568 -2.442975 1.341177 + house_soc | 8.15341 3.45019 2.36 0.018 1.387875 14.91894 + house_veterans | -.1954298 .4774386 -0.41 0.682 -1.131647 .7407875 + house_waysandmeans | -.8040441 .2218425 -3.62 0.000 -1.239059 -.3690294 +house_naturalresources | -.3044234 .6157295 -0.49 0.621 -1.511818 .9029709 + house_bfs | 1.829044 .3821332 4.79 0.000 1.079712 2.578375 + house_eeo | 1.410848 1.038994 1.36 0.175 -.6265331 3.44823 + house_govreform | 1.572112 .4894859 3.21 0.001 .6122712 2.531953 + house_ir | 1.833608 .7800928 2.35 0.019 .3039113 3.363306 + house_natsecur | 1.399646 1.045531 1.34 0.181 -.6505534 3.449846 + house_oversight | .4287232 .7106802 0.60 0.546 -.9648616 1.822308 + house_resources | -.1210821 .5632266 -0.21 0.830 -1.225523 .9833584 + house_science | -.8105889 .6883961 -1.18 0.239 -2.160476 .5392985 + house_transp | -.3465401 .3975922 -0.87 0.384 -1.126185 .4331051 + house_homeland | 2.070174 1.066539 1.94 0.052 -.0212202 4.161569 + sponsor_democrat | 0 (omitted) + sponsor_rookie | -.2695988 .4106125 -0.66 0.512 -1.074776 .5355782 + sponsor_tenure_run | .0432362 .0482148 0.90 0.370 -.051309 .1377814 + sponsor_age | .0006142 .0152378 0.04 0.968 -.0292658 .0304943 + leader | .7549633 .3764403 2.01 0.045 .0167953 1.493131 + ivycoll | -1.237906 .3317747 -3.73 0.000 -1.888489 -.5873236 + black | .098875 .568394 0.17 0.862 -1.015698 1.213448 + occ0 | .6242028 .4015723 1.55 0.120 -.1632472 1.411653 + occ1 | .175277 .4065106 0.43 0.666 -.6218564 .9724104 + occ2 | .3331928 .3326207 1.00 0.317 -.3190486 .9854342 + occ3 | .3871015 .5130637 0.75 0.451 -.6189736 1.393177 + occ4 | -.1898088 .4307431 -0.44 0.660 -1.03446 .6548427 + borninstate | .1387312 .2468811 0.56 0.574 -.3453821 .6228444 + tot_bills | -.060469 .0083801 -7.22 0.000 -.0769017 -.0440364 + NE | .4754466 .3470753 1.37 0.171 -.2051391 1.156032 + MW | 1.030009 .3312183 3.11 0.002 .3805173 1.6795 + WE | 2.826851 .4337236 6.52 0.000 1.976356 3.677347 + pct_black | .7567972 1.270411 0.60 0.551 -1.734373 3.247967 + pct_urban | 1.212953 .8313969 1.46 0.145 -.417347 2.843253 + pct_for_born | 2.676604 1.713888 1.56 0.118 -.6841872 6.037396 + pct_age_over65 | 9.018443 3.551744 2.54 0.011 2.053769 15.98312 + lninc | 2.045326 .6435821 3.18 0.002 .7833153 3.307337 + lnpden | .1046526 .1139646 0.92 0.359 -.1188225 .3281277 + _cons | -23.42344 6.537503 -3.58 0.000 -36.24294 -10.60394 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,492 1 0 1 1 + + +j = 1 k = 3 + + +rdbwselect_2014 pct_cosponsors_fem MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 11.83574 19.60256 .6037853 +---------------------------------------------- +reg pct_cosponsors_fem sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 o +> cc4 borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if sponsor_party==200 & tag_bill==1, robust cluster(group_sponsor) +note: sponsor_democrat omitted because of collinearity + +Linear regression Number of obs = 27,670 + F(289, 2243) = . + Prob > F = . + R-squared = 0.0984 + Root MSE = 9.519 + + (Std. Err. adjusted for 2,244 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + pct_cosponsors_fem | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 1.1535 .3888034 2.97 0.003 .3910482 1.915952 + | + v2 | + 102 | -.9766451 .3374499 -2.89 0.004 -1.638392 -.3148983 + 103 | .0162682 .5324971 0.03 0.976 -1.02797 1.060507 + 104 | .3729105 .5403495 0.69 0.490 -.6867269 1.432548 + 105 | 1.075934 .4873529 2.21 0.027 .1202241 2.031644 + 106 | 2.116091 .5318881 3.98 0.000 1.073047 3.159136 + 107 | 2.740228 .5628079 4.87 0.000 1.63655 3.843907 + 108 | 2.261772 1.463033 1.55 0.122 -.6072672 5.130812 + 109 | 2.346444 1.439948 1.63 0.103 -.4773263 5.170214 + 110 | 2.270615 1.466358 1.55 0.122 -.6049461 5.146176 + 111 | 2.538882 1.437519 1.77 0.078 -.2801237 5.357888 + | + minor | + 101 | .450028 2.691283 0.17 0.867 -4.827638 5.727694 + 103 | 1.005699 4.481088 0.22 0.822 -7.781814 9.793212 + 104 | -.8411093 1.767255 -0.48 0.634 -4.306735 2.624517 + 105 | -.2896546 1.36384 -0.21 0.832 -2.964176 2.384866 + 107 | 1.3691 1.319173 1.04 0.299 -1.217827 3.956027 + 108 | -.6372811 2.078536 -0.31 0.759 -4.713336 3.438774 + 110 | -5.276435 2.505818 -2.11 0.035 -10.1904 -.3624701 + 200 | .5628492 1.492488 0.38 0.706 -2.363954 3.489652 + 201 | -2.907771 1.913123 -1.52 0.129 -6.659448 .8439058 + 202 | 7.098295 4.239616 1.67 0.094 -1.215686 15.41228 + 204 | 4.551921 2.783842 1.64 0.102 -.9072546 10.0111 + 205 | .243331 1.961389 0.12 0.901 -3.602996 4.089658 + 206 | 1.652221 1.675189 0.99 0.324 -1.632862 4.937303 + 207 | .8547178 1.464077 0.58 0.559 -2.01637 3.725806 + 208 | 2.838475 1.518616 1.87 0.062 -.1395655 5.816515 + 209 | -6.331416 1.351301 -4.69 0.000 -8.981347 -3.681485 + 299 | 1.824669 1.745378 1.05 0.296 -1.598056 5.247395 + 300 | .9907773 1.817851 0.55 0.586 -2.574069 4.555624 + 301 | 2.831148 1.536505 1.84 0.066 -.1819729 5.844268 + 302 | 2.90046 1.371725 2.11 0.035 .2104771 5.590444 + 321 | 5.079865 1.614279 3.15 0.002 1.914229 8.245501 + 322 | 3.113738 1.545458 2.01 0.044 .083061 6.144414 + 323 | 2.08236 1.508464 1.38 0.168 -.8757703 5.040491 + 324 | -.1086367 1.498319 -0.07 0.942 -3.046874 2.829601 + 325 | 4.281455 1.578126 2.71 0.007 1.186715 7.376196 + 331 | 8.003345 1.770261 4.52 0.000 4.531824 11.47487 + 332 | 6.571389 1.71055 3.84 0.000 3.216963 9.925815 + 333 | 11.85142 2.759922 4.29 0.000 6.43915 17.26369 + 334 | 4.778321 1.525901 3.13 0.002 1.785994 7.770647 + 335 | 2.166101 1.615884 1.34 0.180 -1.002684 5.334885 + 336 | 4.899945 1.66359 2.95 0.003 1.637609 8.162281 + 341 | 6.832092 2.224457 3.07 0.002 2.469883 11.1943 + 342 | 10.19221 4.169456 2.44 0.015 2.015818 18.36861 + 343 | .7272008 1.977062 0.37 0.713 -3.149862 4.604263 + 344 | 6.037017 2.385235 2.53 0.011 1.359519 10.71452 + 398 | 5.029711 1.554407 3.24 0.001 1.981484 8.077938 + 399 | 6.012698 2.918369 2.06 0.039 .2897116 11.73568 + 400 | -2.16214 1.39619 -1.55 0.122 -4.900099 .5758201 + 401 | .374762 1.589162 0.24 0.814 -2.74162 3.491143 + 402 | .6905185 1.408071 0.49 0.624 -2.070741 3.451778 + 403 | 1.096794 1.784143 0.61 0.539 -2.40195 4.595539 + 404 | .5322602 1.769552 0.30 0.764 -2.93787 4.00239 + 405 | 1.264437 2.183519 0.58 0.563 -3.017492 5.546366 + 498 | -1.731022 1.917448 -0.90 0.367 -5.491179 2.029136 + 499 | 2.220474 2.168719 1.02 0.306 -2.032433 6.473381 + 500 | 1.683337 2.582965 0.65 0.515 -3.381916 6.748589 + 501 | .1522266 1.731975 0.09 0.930 -3.244215 3.548669 + 502 | 2.115082 1.682107 1.26 0.209 -1.183567 5.413731 + 503 | 1.579704 1.367101 1.16 0.248 -1.101213 4.26062 + 504 | .314616 1.530024 0.21 0.837 -2.685794 3.315026 + 505 | 1.455175 1.633726 0.89 0.373 -1.748598 4.658947 + 506 | 1.142586 2.207413 0.52 0.605 -3.186201 5.471373 + 508 | 5.862102 2.213926 2.65 0.008 1.520545 10.20366 + 529 | .733575 2.014925 0.36 0.716 -3.217738 4.684888 + 530 | 2.040333 1.391207 1.47 0.143 -.6878552 4.768521 + 599 | -1.210746 1.852891 -0.65 0.514 -4.844306 2.422814 + 600 | .1582542 1.520047 0.10 0.917 -2.822592 3.1391 + 601 | 1.323126 1.351396 0.98 0.328 -1.326991 3.973243 + 602 | 2.253353 1.446875 1.56 0.120 -.5840007 5.090707 + 603 | 1.492513 1.779094 0.84 0.402 -1.99633 4.981356 + 604 | .8035012 2.820906 0.28 0.776 -4.728358 6.33536 + 606 | 2.011975 2.06573 0.97 0.330 -2.038968 6.062917 + 607 | 3.352547 1.561059 2.15 0.032 .2912748 6.413818 + 609 | 1.533165 2.328997 0.66 0.510 -3.034049 6.10038 + 698 | .7095321 4.328015 0.16 0.870 -7.777801 9.196866 + 699 | .9065814 1.934974 0.47 0.639 -2.887945 4.701108 + 700 | 1.119098 1.590516 0.70 0.482 -1.99994 4.238136 + 701 | 1.651771 1.630175 1.01 0.311 -1.545038 4.84858 + 703 | 1.055278 1.607807 0.66 0.512 -2.097667 4.208223 + 704 | -.2858282 1.434498 -0.20 0.842 -3.098911 2.527254 + 705 | -.8578113 1.480948 -0.58 0.562 -3.761984 2.046361 + 707 | 2.604168 2.10631 1.24 0.216 -1.526354 6.734689 + 708 | 3.327587 2.919947 1.14 0.255 -2.398492 9.053667 + 709 | 1.386595 1.436964 0.96 0.335 -1.431322 4.204513 + 710 | .8574835 1.453657 0.59 0.555 -1.993169 3.708136 + 711 | 1.75546 1.556989 1.13 0.260 -1.297831 4.808751 + 798 | 2.053567 2.441954 0.84 0.400 -2.73516 6.842293 + 799 | 2.395028 2.41 0.99 0.320 -2.331036 7.121091 + 800 | .2342552 1.707496 0.14 0.891 -3.114182 3.582692 + 801 | .3266082 1.847685 0.18 0.860 -3.296744 3.94996 + 802 | -.076482 1.596254 -0.05 0.962 -3.206771 3.053807 + 803 | .5737131 1.378114 0.42 0.677 -2.128799 3.276225 + 805 | -1.404526 1.972097 -0.71 0.476 -5.271852 2.462799 + 806 | 1.870967 1.655395 1.13 0.259 -1.3753 5.117233 + 807 | .3629594 1.611839 0.23 0.822 -2.797893 3.523812 + 898 | -1.318008 2.553733 -0.52 0.606 -6.325936 3.68992 + 899 | -.5175417 3.499037 -0.15 0.882 -7.379232 6.344148 + 1000 | 1.407103 1.759535 0.80 0.424 -2.043384 4.857589 + 1001 | 2.569255 2.196958 1.17 0.242 -1.739027 6.877538 + 1002 | -.0860708 1.432524 -0.06 0.952 -2.895282 2.72314 + 1003 | 1.018291 1.394023 0.73 0.465 -1.715418 3.752 + 1005 | 2.269156 1.94403 1.17 0.243 -1.54313 6.081442 + 1006 | 2.460432 1.578904 1.56 0.119 -.6358339 5.556697 + 1007 | .6308457 1.450387 0.43 0.664 -2.213395 3.475087 + 1010 | .3702093 1.897856 0.20 0.845 -3.351529 4.091947 + 1098 | -2.683011 2.333544 -1.15 0.250 -7.259142 1.89312 + 1099 | -.8819706 2.484704 -0.35 0.723 -5.75453 3.990589 + 1200 | -.6239015 1.620232 -0.39 0.700 -3.801212 2.553409 + 1201 | 3.35154 1.667679 2.01 0.045 .0811841 6.621896 + 1202 | 1.574332 2.440402 0.65 0.519 -3.211351 6.360014 + 1203 | 2.036154 1.552636 1.31 0.190 -1.0086 5.080908 + 1204 | -.4308828 1.399866 -0.31 0.758 -3.176051 2.314285 + 1205 | -.1131283 1.512043 -0.07 0.940 -3.078278 2.852022 + 1206 | -.4786704 1.951796 -0.25 0.806 -4.306186 3.348846 + 1207 | 4.896257 1.668176 2.94 0.003 1.624927 8.167587 + 1208 | 5.436296 1.580491 3.44 0.001 2.336918 8.535675 + 1209 | 2.474365 1.400375 1.77 0.077 -.2718014 5.220532 + 1210 | 1.552534 1.454604 1.07 0.286 -1.299977 4.405045 + 1211 | 3.648095 1.711696 2.13 0.033 .2914217 7.004769 + 1299 | 2.358713 3.143348 0.75 0.453 -3.805462 8.522887 + 1300 | 1.648571 1.764236 0.93 0.350 -1.811136 5.108277 + 1301 | 4.538111 2.230763 2.03 0.042 .1635345 8.912687 + 1302 | 1.41611 1.722337 0.82 0.411 -1.961431 4.793651 + 1303 | 1.291473 1.402896 0.92 0.357 -1.459637 4.042582 + 1304 | 1.772536 1.4896 1.19 0.234 -1.148603 4.693675 + 1305 | 1.344521 1.659587 0.81 0.418 -1.909966 4.599007 + 1399 | -.0554466 2.155369 -0.03 0.979 -4.282173 4.17128 + 1400 | 1.111619 1.717715 0.65 0.518 -2.256857 4.480096 + 1401 | 1.501907 1.6699 0.90 0.369 -1.772803 4.776618 + 1403 | 5.941626 2.572619 2.31 0.021 .896662 10.98659 + 1404 | .0693021 2.694848 0.03 0.979 -5.215354 5.353958 + 1405 | -1.878415 1.504057 -1.25 0.212 -4.827904 1.071073 + 1406 | .0924245 1.65135 0.06 0.955 -3.145909 3.330758 + 1407 | 3.559675 2.051481 1.74 0.083 -.4633254 7.582675 + 1408 | 1.410017 3.342652 0.42 0.673 -5.144998 7.965032 + 1409 | 4.536218 2.405472 1.89 0.059 -.1809659 9.253401 + 1410 | 3.065252 1.987508 1.54 0.123 -.8322959 6.962799 + 1499 | -1.492974 1.889034 -0.79 0.429 -5.197412 2.211463 + 1500 | 2.623937 1.836486 1.43 0.153 -.977452 6.225326 + 1501 | 1.386842 1.471185 0.94 0.346 -1.498184 4.271869 + 1502 | -.5369407 1.448696 -0.37 0.711 -3.377866 2.303984 + 1504 | 2.210882 1.621181 1.36 0.173 -.9682912 5.390054 + 1505 | 3.613317 1.76537 2.05 0.041 .151388 7.075246 + 1507 | 2.815661 1.96159 1.44 0.151 -1.03106 6.662382 + 1520 | -1.059977 1.475144 -0.72 0.472 -3.952768 1.832814 + 1521 | 2.030129 1.529457 1.33 0.185 -.9691695 5.029427 + 1522 | 3.28236 2.187625 1.50 0.134 -1.007621 7.572341 + 1523 | .8351775 1.4774 0.57 0.572 -2.062037 3.732392 + 1524 | 4.445879 3.088961 1.44 0.150 -1.611642 10.5034 + 1525 | .887603 1.623997 0.55 0.585 -2.29709 4.072296 + 1526 | 2.801176 1.73972 1.61 0.108 -.6104531 6.212806 + 1599 | 2.280279 1.725784 1.32 0.187 -1.104021 5.664579 + 1600 | -.5823891 1.753137 -0.33 0.740 -4.02033 2.855552 + 1602 | .8566495 2.415777 0.35 0.723 -3.880743 5.594042 + 1603 | -1.883862 1.804072 -1.04 0.296 -5.421688 1.653963 + 1604 | .3794123 1.853977 0.20 0.838 -3.256277 4.015102 + 1605 | .0761914 1.918149 0.04 0.968 -3.68534 3.837723 + 1606 | -2.855823 1.683506 -1.70 0.090 -6.157216 .4455693 + 1608 | 2.921173 1.423463 2.05 0.040 .1297298 5.712616 + 1609 | 2.842922 1.394824 2.04 0.042 .1076423 5.578202 + 1610 | 2.742373 2.619567 1.05 0.295 -2.394656 7.879402 + 1611 | -.3119589 1.715987 -0.18 0.856 -3.677047 3.053129 + 1612 | 1.148897 1.68113 0.68 0.494 -2.147836 4.44563 + 1614 | 5.021984 3.740317 1.34 0.180 -2.312861 12.35683 + 1615 | -.029409 1.792942 -0.02 0.987 -3.545408 3.48659 + 1616 | .0363074 1.677129 0.02 0.983 -3.25258 3.325195 + 1617 | 2.957305 2.337917 1.26 0.206 -1.627402 7.542013 + 1619 | -1.020286 1.587385 -0.64 0.520 -4.133184 2.092612 + 1620 | -1.327344 1.818348 -0.73 0.465 -4.893164 2.238477 + 1698 | 1.85581 3.620384 0.51 0.608 -5.243843 8.955463 + 1699 | 2.300066 1.704475 1.35 0.177 -1.042448 5.64258 + 1700 | .6776963 2.038172 0.33 0.740 -3.319204 4.674597 + 1701 | -2.059026 1.911267 -1.08 0.281 -5.807063 1.689011 + 1704 | 2.44179 2.670796 0.91 0.361 -2.7957 7.67928 + 1705 | -.0560553 3.086158 -0.02 0.986 -6.108079 5.995969 + 1706 | 1.012801 1.614554 0.63 0.531 -2.153375 4.178977 + 1707 | .4384911 1.605356 0.27 0.785 -2.709647 3.586629 + 1708 | .1134181 2.081562 0.05 0.957 -3.968571 4.195408 + 1709 | 3.615053 1.789102 2.02 0.043 .1065848 7.123521 + 1798 | 5.752052 2.681982 2.14 0.032 .4926261 11.01148 + 1799 | 1.309741 3.182675 0.41 0.681 -4.931556 7.551037 + 1800 | .6985885 1.681154 0.42 0.678 -2.598193 3.99537 + 1802 | 1.002513 1.452867 0.69 0.490 -1.846592 3.851617 + 1803 | .2779812 1.775567 0.16 0.876 -3.203944 3.759907 + 1804 | 1.017721 1.77966 0.57 0.567 -2.472232 4.507674 + 1806 | -1.242444 1.705727 -0.73 0.466 -4.587412 2.102524 + 1807 | -3.368906 1.328352 -2.54 0.011 -5.973833 -.763979 + 1808 | -5.176012 1.609008 -3.22 0.001 -8.331313 -2.02071 + 1899 | -3.753621 2.536211 -1.48 0.139 -8.727186 1.219944 + 1900 | 1.116386 2.767793 0.40 0.687 -4.311318 6.54409 + 1901 | 1.447967 1.749566 0.83 0.408 -1.982971 4.878904 + 1902 | 1.574848 1.836951 0.86 0.391 -2.027453 5.17715 + 1905 | 4.289489 2.561803 1.67 0.094 -.7342635 9.313241 + 1906 | 1.614224 1.84752 0.87 0.382 -2.008803 5.237251 + 1907 | 3.119622 2.074864 1.50 0.133 -.9492323 7.188477 + 1908 | -1.53503 1.884348 -0.81 0.415 -5.230279 2.160219 + 1909 | 4.525874 2.606678 1.74 0.083 -.5858795 9.637628 + 1910 | .6708243 2.37285 0.28 0.777 -3.982387 5.324035 + 1911 | -1.22403 2.352698 -0.52 0.603 -5.837722 3.389662 + 1912 | -1.316917 1.404867 -0.94 0.349 -4.071892 1.438059 + 1914 | 4.266131 2.176948 1.96 0.050 -.0029126 8.535174 + 1915 | -1.402615 2.329455 -0.60 0.547 -5.970729 3.165499 + 1919 | 2.317907 2.0415 1.14 0.256 -1.68552 6.321333 + 1920 | -1.099416 1.614622 -0.68 0.496 -4.265726 2.066894 + 1925 | 4.649547 1.821126 2.55 0.011 1.078278 8.220816 + 1926 | 1.658559 1.724044 0.96 0.336 -1.722329 5.039448 + 1927 | 1.620387 1.826698 0.89 0.375 -1.961809 5.202583 + 1929 | 1.203964 1.92391 0.63 0.532 -2.568865 4.976794 + 1999 | 1.699558 3.778878 0.45 0.653 -5.710907 9.110022 + 2000 | -.5444902 1.415293 -0.38 0.700 -3.319911 2.23093 + 2001 | .2060149 1.538698 0.13 0.894 -2.811406 3.223435 + 2002 | .1311007 1.394567 0.09 0.925 -2.603676 2.865878 + 2003 | .7922878 1.702721 0.47 0.642 -2.546785 4.131361 + 2004 | 2.026996 1.396989 1.45 0.147 -.7125311 4.766523 + 2005 | 1.739197 3.433218 0.51 0.612 -4.99342 8.471814 + 2006 | 3.684259 1.494255 2.47 0.014 .7539912 6.614526 + 2007 | 1.78666 2.012855 0.89 0.375 -2.160593 5.733913 + 2008 | 3.25734 1.395215 2.33 0.020 .5212926 5.993387 + 2009 | -.2511074 1.637802 -0.15 0.878 -3.462874 2.960659 + 2011 | .513778 1.346668 0.38 0.703 -2.127069 3.154625 + 2012 | -.1692864 1.365388 -0.12 0.901 -2.846842 2.508269 + 2013 | -1.12496 2.019421 -0.56 0.578 -5.08509 2.835171 + 2014 | -1.121896 1.613058 -0.70 0.487 -4.285139 2.041346 + 2015 | -.9758329 1.732647 -0.56 0.573 -4.373592 2.421926 + 2030 | -.7414476 1.868804 -0.40 0.692 -4.406213 2.923318 + 2099 | .5773574 1.99935 0.29 0.773 -3.343411 4.498126 + 2100 | -2.358017 1.404699 -1.68 0.093 -5.112662 .396628 + 2101 | .5488387 1.349509 0.41 0.684 -2.097578 3.195256 + 2102 | -.7039992 1.395163 -0.50 0.614 -3.439944 2.031946 + 2103 | .5126181 1.394782 0.37 0.713 -2.222581 3.247817 + 2104 | -.153693 1.401791 -0.11 0.913 -2.902636 2.59525 + 2105 | .3565065 1.808949 0.20 0.844 -3.190882 3.903895 + 2199 | -2.839388 1.911738 -1.49 0.138 -6.58835 .9095728 + 9999 | .1420833 1.836907 0.08 0.938 -3.460132 3.744299 + | + house_administration | -.4666465 .4917214 -0.95 0.343 -1.430923 .49763 + house_agriculture | .2722414 .3741442 0.73 0.467 -.4614636 1.005946 + house_appropriations | -2.253296 .5185607 -4.35 0.000 -3.270205 -1.236387 + house_armedservices | -.6432474 .3626146 -1.77 0.076 -1.354343 .0678479 + house_budget | .5785067 .6004744 0.96 0.335 -.5990369 1.75605 + house_dc | 2.044644 1.381184 1.48 0.139 -.6638892 4.753177 + house_educlabor | .3179836 .3276368 0.97 0.332 -.3245195 .9604867 + house_energycommerce | .8991036 .2685965 3.35 0.001 .3723799 1.425827 + house_foreignaffairs | .2281294 .6055434 0.38 0.706 -.9593546 1.415613 + house_governmentop | -.1158882 .4590223 -0.25 0.801 -1.016041 .7842647 + house_intelligence | .423167 1.2795 0.33 0.741 -2.085961 2.932295 + house_interior | -.0788768 .5172751 -0.15 0.879 -1.093265 .9355111 + house_judiciary | -.4433024 .2517586 -1.76 0.078 -.9370066 .0504019 + house_mmf | 1.254126 .6674753 1.88 0.060 -.0548078 2.56306 + house_pocs | -.0349485 .5464552 -0.06 0.949 -1.106559 1.036662 + house_pwt | -.5089046 .4295468 -1.18 0.236 -1.351255 .3334461 + house_rules | -.1395674 .3749555 -0.37 0.710 -.8748634 .5957287 + house_sst | -.9936818 1.141096 -0.87 0.384 -3.231397 1.244033 + house_smallbusi | 3.274658 2.398686 1.37 0.172 -1.42922 7.978535 + house_soc | 2.409042 3.54091 0.68 0.496 -4.53476 9.352845 + house_veterans | 1.008954 .4936598 2.04 0.041 .0408764 1.977032 + house_waysandmeans | -.3043049 .2115395 -1.44 0.150 -.7191385 .1105287 +house_naturalresources | .6818154 .7009797 0.97 0.331 -.6928213 2.056452 + house_bfs | 1.246028 .4178373 2.98 0.003 .4266394 2.065416 + house_eeo | -.3219057 .8236621 -0.39 0.696 -1.937125 1.293314 + house_govreform | .9611901 .3838983 2.50 0.012 .2083571 1.714023 + house_ir | .5207965 .6143978 0.85 0.397 -.6840512 1.725644 + house_natsecur | -.7106759 .7117991 -1.00 0.318 -2.10653 .685178 + house_oversight | -.0730583 .5429784 -0.13 0.893 -1.137851 .9917343 + house_resources | -.9908396 .3685174 -2.69 0.007 -1.71351 -.2681687 + house_science | 1.460249 .7190949 2.03 0.042 .0500881 2.87041 + house_transp | -.5858186 .3440705 -1.70 0.089 -1.260548 .0889113 + house_homeland | 1.181921 1.266639 0.93 0.351 -1.301987 3.665828 + sponsor_democrat | 0 (omitted) + sponsor_rookie | -.7335757 .295177 -2.49 0.013 -1.312424 -.154727 + sponsor_tenure_run | -.1368862 .0372317 -3.68 0.000 -.2098985 -.063874 + sponsor_age | .0215043 .0106245 2.02 0.043 .0006694 .0423393 + leader | -.0163596 .2846094 -0.06 0.954 -.5744849 .5417657 + ivycoll | -.0271986 .3084073 -0.09 0.930 -.6319921 .5775948 + black | -1.166535 1.084135 -1.08 0.282 -3.292548 .9594768 + occ0 | .577947 .322486 1.79 0.073 -.0544552 1.210349 + occ1 | -.0058861 .3748355 -0.02 0.987 -.7409468 .7291745 + occ2 | .4902171 .2812991 1.74 0.082 -.0614167 1.041851 + occ3 | -1.002764 .3626825 -2.76 0.006 -1.713993 -.2915359 + occ4 | .082927 .2819938 0.29 0.769 -.470069 .6359231 + borninstate | -.0232199 .1934833 -0.12 0.904 -.402645 .3562053 + tot_bills | -.0099513 .0067926 -1.47 0.143 -.0232717 .0033692 + NE | .6244614 .2902707 2.15 0.032 .0552341 1.193689 + MW | .4566835 .2405405 1.90 0.058 -.0150217 .9283888 + WE | -.0430427 .289497 -0.15 0.882 -.6107528 .5246674 + pct_black | -.9034347 1.19126 -0.76 0.448 -3.239522 1.432653 + pct_urban | 1.242197 .6144478 2.02 0.043 .0372508 2.447142 + pct_for_born | 5.923953 2.062812 2.87 0.004 1.878734 9.969172 + pct_age_over65 | 8.431226 2.341112 3.60 0.000 3.840254 13.0222 + lninc | 2.233503 .6608764 3.38 0.001 .9375092 3.529496 + lnpden | -.0401383 .0926151 -0.43 0.665 -.2217585 .141482 + _cons | -22.58865 6.61986 -3.41 0.001 -35.57035 -9.60696 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,244 1 0 1 1 + + +j = 2 k = 1 + + +rdbwselect_2014 pct_cosponsors_fem MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11989 +----------------------+---------------------- NN matches = 3 + Number of obs | 6150 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 17.75164 29.65608 .5985837 +---------------------------------------------- +reg pct_cosponsors_fem sponsor_female i.v2 MV1_female femaleXMV1_female if tag_bill==1 & sample==1 & abs(MV1_female)<=17.75164468655541, robust cluster(group_sponso +> r) + +Linear regression Number of obs = 3,311 + F(13, 270) = 11.25 + Prob > F = 0.0000 + R-squared = 0.0547 + Root MSE = 12.471 + + (Std. Err. adjusted for 271 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust +pct_cosponsors_~m | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | 2.925763 1.454126 2.01 0.045 .0628955 5.78863 + | + v2 | + 102 | 1.035272 1.018338 1.02 0.310 -.9696204 3.040164 + 103 | 2.345375 .9948731 2.36 0.019 .3866795 4.30407 + 104 | 4.251487 2.033213 2.09 0.037 .24852 8.254455 + 105 | 6.292066 1.534151 4.10 0.000 3.271646 9.312485 + 106 | 4.863382 1.082167 4.49 0.000 2.732823 6.993941 + 107 | 7.546295 1.124 6.71 0.000 5.333377 9.759213 + 108 | 4.119864 1.10991 3.71 0.000 1.934686 6.305043 + 109 | 2.784477 1.066829 2.61 0.010 .6841158 4.884838 + 110 | 6.545074 1.283589 5.10 0.000 4.017959 9.072189 + 111 | 7.287182 1.669292 4.37 0.000 4.000699 10.57367 + | + MV1_female | .1296325 .0754732 1.72 0.087 -.0189583 .2782234 +femaleXMV1_female | -.2227742 .1711097 -1.30 0.194 -.5596532 .1141048 + _cons | 3.85566 1.104653 3.49 0.001 1.680831 6.030489 +----------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 271 1 0 1 1 + + +j = 2 k = 2 + + +rdbwselect_2014 pct_cosponsors_fem MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6186 +----------------------+---------------------- NN matches = 3 + Number of obs | 2192 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 22.32219 41.09859 .5431375 +---------------------------------------------- +reg pct_cosponsors_fem sponsor_female i.v2 MV1_female femaleXMV1_female if sponsor_party==100 & tag_bill==1 & sample==1 & abs(MV1_female)<=22.32218582343349, robust +> cluster(group_sponsor) + +Linear regression Number of obs = 1,795 + F(13, 151) = 17.23 + Prob > F = 0.0000 + R-squared = 0.0942 + Root MSE = 13.543 + + (Std. Err. adjusted for 152 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust +pct_cosponsors_~m | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | 2.185853 1.615092 1.35 0.178 -1.005245 5.376951 + | + v2 | + 102 | .7626175 1.060145 0.72 0.473 -1.332016 2.857251 + 103 | 3.965739 1.374863 2.88 0.004 1.249285 6.682193 + 104 | 7.32235 2.295345 3.19 0.002 2.78721 11.85749 + 105 | 11.6955 1.651427 7.08 0.000 8.432609 14.95839 + 106 | 9.183823 1.730038 5.31 0.000 5.765616 12.60203 + 107 | 11.29148 1.268756 8.90 0.000 8.784675 13.79829 + 108 | 7.997168 2.430567 3.29 0.001 3.194855 12.79948 + 109 | 5.267908 2.817229 1.87 0.063 -.2983711 10.83419 + 110 | 8.165865 1.387724 5.88 0.000 5.424001 10.90773 + 111 | 7.685494 1.966936 3.91 0.000 3.799225 11.57176 + | + MV1_female | .087417 .0831013 1.05 0.295 -.0767744 .2516084 +femaleXMV1_female | -.0312331 .1244898 -0.25 0.802 -.2771999 .2147338 + _cons | 3.172554 1.490794 2.13 0.035 .227044 6.118064 +----------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 152 1 0 1 1 + + +j = 2 k = 3 + + +rdbwselect_2014 pct_cosponsors_fem MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 11.83574 19.60256 .6037853 +---------------------------------------------- +reg pct_cosponsors_fem sponsor_female i.v2 MV1_female femaleXMV1_female if sponsor_party==200 & tag_bill==1 & sample==1 & abs(MV1_female)<=11.83573539091743, robust +> cluster(group_sponsor) + +Linear regression Number of obs = 1,157 + F(13, 94) = 7.95 + Prob > F = 0.0000 + R-squared = 0.0486 + Root MSE = 11.859 + + (Std. Err. adjusted for 95 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust +pct_cosponsors_~m | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | 2.355119 2.575979 0.91 0.363 -2.759549 7.469786 + | + v2 | + 102 | 2.174337 1.899142 1.14 0.255 -1.596453 5.945128 + 103 | 1.392583 .8532238 1.63 0.106 -.3015129 3.086679 + 104 | 2.126628 .9265426 2.30 0.024 .2869562 3.9663 + 105 | 2.524067 1.203085 2.10 0.039 .135313 4.91282 + 106 | 4.235322 .6369219 6.65 0.000 2.970698 5.499945 + 107 | 6.066486 1.174941 5.16 0.000 3.733614 8.399359 + 108 | 6.251878 1.303069 4.80 0.000 3.664603 8.839152 + 109 | 4.076824 1.021147 3.99 0.000 2.049314 6.104335 + 110 | 7.561465 2.508417 3.01 0.003 2.580944 12.54199 + 111 | 11.78852 3.390863 3.48 0.001 5.055885 18.52116 + | + MV1_female | .0099773 .1461613 0.07 0.946 -.2802293 .300184 +femaleXMV1_female | -.2714577 .33094 -0.82 0.414 -.9285468 .3856314 + _cons | 2.881398 1.018253 2.83 0.006 .8596334 4.903162 +----------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 95 1 0 1 1 + + +j = 3 k = 1 + + +rdbwselect_2014 pct_cosponsors_fem MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11989 +----------------------+---------------------- NN matches = 3 + Number of obs | 6150 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 17.75164 29.65608 .5985837 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(50,601 missing values generated) +(56,627 missing values generated) +(6,026 real changes made) +reg pct_cosponsors_fem sponsor_female i.v2 MV1_female femaleXMV1_female i.minor house_* [aw=wt] if tag_bill==1 & sample==1 & abs(MV1_female)<=17.75164468655541, rob +> ust cluster(group_sponsor) +(sum of wgt is 6,632.04499137402) + +Linear regression Number of obs = 3,311 + F(237, 270) = . + Prob > F = . + R-squared = 0.2077 + Root MSE = 12.512 + + (Std. Err. adjusted for 271 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + pct_cosponsors_fem | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | .8574783 1.254173 0.68 0.495 -1.611724 3.32668 + | + v2 | + 102 | 1.702337 .932188 1.83 0.069 -.1329445 3.537619 + 103 | 2.42108 1.045587 2.32 0.021 .36254 4.479619 + 104 | 3.532947 2.0308 1.74 0.083 -.4652703 7.531164 + 105 | 6.678803 1.571238 4.25 0.000 3.585366 9.77224 + 106 | 5.092656 1.219417 4.18 0.000 2.691881 7.493432 + 107 | 8.876114 1.246735 7.12 0.000 6.421556 11.33067 + 108 | 4.149377 1.192796 3.48 0.001 1.801013 6.49774 + 109 | 4.309864 1.137803 3.79 0.000 2.069771 6.549958 + 110 | 6.518954 1.192636 5.47 0.000 4.170906 8.867003 + 111 | 8.600616 1.745075 4.93 0.000 5.164932 12.0363 + | + MV1_female | .13818 .0947602 1.46 0.146 -.0483829 .3247429 + femaleXMV1_female | -.1880966 .1399501 -1.34 0.180 -.4636289 .0874357 + | + minor | + 101 | 10.87243 9.080122 1.20 0.232 -7.00441 28.74928 + 103 | 14.52035 3.000994 4.84 0.000 8.612029 20.42868 + 104 | 6.180791 5.414401 1.14 0.255 -4.479023 16.84061 + 105 | 4.978575 3.686752 1.35 0.178 -2.279862 12.23701 + 107 | 9.671805 3.187745 3.03 0.003 3.395808 15.9478 + 108 | 9.874936 5.267308 1.87 0.062 -.4952813 20.24515 + 200 | 10.05056 5.777206 1.74 0.083 -1.323537 21.42466 + 201 | 8.949468 3.544035 2.53 0.012 1.972011 15.92692 + 202 | 29.45016 9.364017 3.15 0.002 11.01439 47.88594 + 204 | 9.720295 8.446934 1.15 0.251 -6.909937 26.35053 + 205 | 9.55183 6.071868 1.57 0.117 -2.402398 21.50606 + 206 | 3.560338 4.653069 0.77 0.445 -5.600573 12.72125 + 207 | 20.65542 7.156554 2.89 0.004 6.565674 34.74516 + 208 | 16.90809 4.913291 3.44 0.001 7.234851 26.58132 + 209 | -.3491572 3.316945 -0.11 0.916 -6.879521 6.181207 + 300 | 15.42132 9.238863 1.67 0.096 -2.768047 33.6107 + 301 | 14.59428 5.722669 2.55 0.011 3.327554 25.86101 + 302 | 10.13055 3.71317 2.73 0.007 2.8201 17.441 + 321 | 4.289583 4.000669 1.07 0.285 -3.58689 12.16606 + 322 | 10.07966 4.403376 2.29 0.023 1.410344 18.74898 + 323 | 5.126447 4.0757 1.26 0.210 -2.897746 13.15064 + 324 | -.2452082 4.226383 -0.06 0.954 -8.566064 8.075648 + 325 | 9.697979 4.066808 2.38 0.018 1.691292 17.70467 + 331 | 16.87411 3.832219 4.40 0.000 9.329281 24.41894 + 332 | 13.93947 3.798228 3.67 0.000 6.461559 21.41738 + 333 | 19.51994 7.66103 2.55 0.011 4.43699 34.60289 + 334 | 11.36237 4.954715 2.29 0.023 1.607581 21.11716 + 335 | 5.88621 5.23564 1.12 0.262 -4.421661 16.19408 + 336 | 11.38414 3.870474 2.94 0.004 3.763998 19.00429 + 341 | 17.26037 6.042506 2.86 0.005 5.363947 29.15679 + 342 | 10.84953 9.323747 1.16 0.246 -7.506963 29.20602 + 343 | 13.59972 4.768802 2.85 0.005 4.210956 22.98849 + 344 | 9.088376 3.263347 2.78 0.006 2.663535 15.51322 + 398 | 24.82378 6.149293 4.04 0.000 12.71712 36.93044 + 399 | 23.67917 11.23977 2.11 0.036 1.550433 45.8079 + 400 | .3997095 3.485573 0.11 0.909 -6.462648 7.262067 + 401 | 8.728175 4.825608 1.81 0.072 -.7724279 18.22878 + 402 | 3.137142 3.725246 0.84 0.400 -4.197082 10.47137 + 403 | 9.216434 6.888703 1.34 0.182 -4.345969 22.77884 + 404 | 3.0799 3.390649 0.91 0.365 -3.595572 9.755373 + 405 | 21.33644 14.76253 1.45 0.150 -7.727866 50.40075 + 498 | 5.21673 6.077331 0.86 0.391 -6.748253 17.18171 + 499 | 5.382603 2.875491 1.87 0.062 -.2786319 11.04384 + 500 | 1.046525 3.635355 0.29 0.774 -6.110722 8.203773 + 501 | 2.168773 4.17756 0.52 0.604 -6.055961 10.39351 + 502 | 12.88779 5.302797 2.43 0.016 2.447698 23.32787 + 503 | 9.786678 3.569188 2.74 0.007 2.759701 16.81366 + 504 | 3.162065 3.700357 0.85 0.394 -4.123156 10.44729 + 505 | 6.140949 5.249698 1.17 0.243 -4.1946 16.4765 + 506 | 19.91493 11.72625 1.70 0.091 -3.171584 43.00145 + 508 | 18.60687 4.536248 4.10 0.000 9.675954 27.53779 + 530 | 5.703867 3.477414 1.64 0.102 -1.142428 12.55016 + 599 | 10.15779 2.90686 3.49 0.001 4.434799 15.88079 + 600 | 9.134473 4.47873 2.04 0.042 .3167982 17.95215 + 601 | 5.737479 3.307996 1.73 0.084 -.7752681 12.25023 + 602 | 10.83983 3.364029 3.22 0.001 4.216768 17.4629 + 603 | 4.900724 4.801824 1.02 0.308 -4.553055 14.3545 + 604 | 10.5421 10.13928 1.04 0.299 -9.419994 30.5042 + 606 | 7.748745 6.794354 1.14 0.255 -5.627905 21.12539 + 607 | 5.894692 3.539611 1.67 0.097 -1.074054 12.86344 + 609 | .9120971 3.405 0.27 0.789 -5.791631 7.615825 + 698 | 26.26968 7.901487 3.32 0.001 10.71332 41.82604 + 699 | 9.886103 4.009532 2.47 0.014 1.992179 17.78003 + 700 | 2.613973 3.065484 0.85 0.395 -3.421318 8.649264 + 701 | 3.312544 3.566504 0.93 0.354 -3.70915 10.33424 + 703 | 1.620808 3.512258 0.46 0.645 -5.294086 8.535702 + 704 | 4.692329 4.115695 1.14 0.255 -3.410606 12.79526 + 705 | 2.990296 3.526515 0.85 0.397 -3.952668 9.93326 + 707 | 8.946512 5.452536 1.64 0.102 -1.788381 19.6814 + 708 | 2.740202 3.208196 0.85 0.394 -3.576058 9.056462 + 709 | 5.316906 3.91083 1.36 0.175 -2.382693 13.01651 + 710 | 7.711579 3.989735 1.93 0.054 -.143367 15.56653 + 711 | 6.578279 8.544847 0.77 0.442 -10.24472 23.40128 + 798 | 11.40905 9.093525 1.25 0.211 -6.494185 29.31228 + 799 | 16.48047 12.42438 1.33 0.186 -7.980508 40.94145 + 800 | 9.815948 5.645051 1.74 0.083 -1.297966 20.92986 + 801 | 11.79462 5.145075 2.29 0.023 1.665056 21.92419 + 802 | 5.038081 3.681908 1.37 0.172 -2.210819 12.28698 + 803 | 9.749938 3.680834 2.65 0.009 2.503152 16.99672 + 805 | -1.883803 3.129276 -0.60 0.548 -8.044687 4.277081 + 806 | 12.3306 4.431667 2.78 0.006 3.605579 21.05561 + 807 | 5.251859 3.60752 1.46 0.147 -1.850586 12.3543 + 898 | 8.101108 5.386123 1.50 0.134 -2.503033 18.70525 + 899 | 9.050872 3.486587 2.60 0.010 2.186518 15.91523 + 1000 | -.9562013 4.223028 -0.23 0.821 -9.270452 7.358049 + 1001 | 5.275709 4.078944 1.29 0.197 -2.754871 13.30629 + 1002 | .9602456 3.442502 0.28 0.781 -5.817316 7.737807 + 1003 | 7.662268 3.732167 2.05 0.041 .3144185 15.01012 + 1005 | 19.31358 12.11512 1.59 0.112 -4.538535 43.1657 + 1006 | 5.157401 3.814817 1.35 0.178 -2.353168 12.66797 + 1007 | 5.615361 3.597232 1.56 0.120 -1.466829 12.69755 + 1010 | 5.504655 5.445472 1.01 0.313 -5.216331 16.22564 + 1200 | -.8438183 3.562828 -0.24 0.813 -7.858276 6.170639 + 1201 | 4.848632 4.428451 1.09 0.275 -3.870054 13.56732 + 1202 | -.3407606 3.878407 -0.09 0.930 -7.976525 7.295004 + 1203 | 6.704107 4.702616 1.43 0.155 -2.554352 15.96257 + 1204 | 8.135989 3.875871 2.10 0.037 .5052172 15.76676 + 1205 | 4.114885 3.773274 1.09 0.276 -3.313894 11.54366 + 1206 | 5.508424 4.828962 1.14 0.255 -3.998783 15.01563 + 1207 | 19.16226 5.551922 3.45 0.001 8.231698 30.09282 + 1208 | 21.28202 4.391641 4.85 0.000 12.63581 29.92824 + 1209 | 15.36951 4.239133 3.63 0.000 7.023552 23.71547 + 1210 | 12.00546 5.067109 2.37 0.019 2.029391 21.98153 + 1211 | 13.64296 4.091708 3.33 0.001 5.587246 21.69867 + 1299 | 1.054447 3.399368 0.31 0.757 -5.638192 7.747086 + 1300 | 19.39987 8.509597 2.28 0.023 2.646267 36.15347 + 1301 | 15.36724 7.84145 1.96 0.051 -.0709204 30.8054 + 1302 | 40.35657 6.4634 6.24 0.000 27.6315 53.08165 + 1303 | 13.47237 3.703826 3.64 0.000 6.180323 20.76443 + 1304 | 19.23021 8.092472 2.38 0.018 3.297844 35.16258 + 1305 | 8.97648 3.702175 2.42 0.016 1.687678 16.26528 + 1399 | -1.751567 3.331802 -0.53 0.600 -8.311183 4.808048 + 1400 | 10.09418 6.341251 1.59 0.113 -2.390404 22.57877 + 1401 | 2.72181 4.343435 0.63 0.531 -5.829497 11.27312 + 1403 | 4.511405 3.572317 1.26 0.208 -2.521732 11.54454 + 1404 | 6.823139 4.510883 1.51 0.132 -2.057838 15.70412 + 1405 | 6.697315 6.805707 0.98 0.326 -6.701687 20.09632 + 1406 | .4793146 3.275012 0.15 0.884 -5.968494 6.927123 + 1407 | 12.64971 4.723312 2.68 0.008 3.350507 21.94891 + 1408 | 8.301318 3.34458 2.48 0.014 1.716545 14.88609 + 1409 | 10.37068 5.171563 2.01 0.046 .1889647 20.5524 + 1410 | 11.50092 5.29494 2.17 0.031 1.076295 21.92554 + 1499 | -2.680379 3.641018 -0.74 0.462 -9.848774 4.488017 + 1500 | 10.45198 6.591948 1.59 0.114 -2.526177 23.43013 + 1501 | 1.877556 3.807286 0.49 0.622 -5.618186 9.373299 + 1502 | 5.357001 3.305854 1.62 0.106 -1.151528 11.86553 + 1504 | 7.733819 4.791183 1.61 0.108 -1.699009 17.16665 + 1505 | 4.269287 4.076581 1.05 0.296 -3.756641 12.29521 + 1507 | 2.435215 6.983285 0.35 0.728 -11.3134 16.18383 + 1520 | 1.106318 3.538909 0.31 0.755 -5.861048 8.073683 + 1521 | 6.8293 3.347203 2.04 0.042 .2393645 13.41924 + 1522 | 7.691911 3.323454 2.31 0.021 1.148731 14.23509 + 1523 | 8.807251 4.14023 2.13 0.034 .6560108 16.95849 + 1524 | 3.534865 3.040492 1.16 0.246 -2.451222 9.520952 + 1525 | 15.96469 5.648691 2.83 0.005 4.843607 27.08577 + 1526 | 7.406587 3.840817 1.93 0.055 -.1551714 14.96835 + 1599 | 7.443218 5.31194 1.40 0.162 -3.014871 17.90131 + 1600 | 5.846378 4.664844 1.25 0.211 -3.337715 15.03047 + 1603 | 16.4753 7.180772 2.29 0.023 2.33787 30.61272 + 1604 | 7.925108 4.298433 1.84 0.066 -.5375998 16.38782 + 1605 | 4.010311 3.697709 1.08 0.279 -3.269697 11.29032 + 1606 | 16.83166 3.934826 4.28 0.000 9.084816 24.5785 + 1608 | 5.977268 3.292474 1.82 0.071 -.5049184 12.45945 + 1609 | 10.19491 3.297394 3.09 0.002 3.703033 16.68678 + 1610 | 10.62667 8.759989 1.21 0.226 -6.619897 27.87324 + 1611 | -3.589418 3.722985 -0.96 0.336 -10.91919 3.740354 + 1612 | 12.27168 4.6555 2.64 0.009 3.105981 21.43738 + 1614 | -1.867209 3.358943 -0.56 0.579 -8.48026 4.745842 + 1615 | 9.526385 4.385501 2.17 0.031 .8922599 18.16051 + 1616 | 4.126849 3.568275 1.16 0.248 -2.898332 11.15203 + 1617 | 13.79335 3.897189 3.54 0.000 6.120605 21.46609 + 1619 | 12.06451 5.084821 2.37 0.018 2.053574 22.07545 + 1620 | 3.87453 5.714867 0.68 0.498 -7.376838 15.1259 + 1698 | 4.930215 4.046505 1.22 0.224 -3.0365 12.89693 + 1699 | 11.24441 8.080822 1.39 0.165 -4.665022 27.15384 + 1700 | 17.85623 3.609713 4.95 0.000 10.74947 24.963 + 1701 | 7.094752 4.828964 1.47 0.143 -2.41246 16.60196 + 1704 | 4.099816 3.641685 1.13 0.261 -3.069893 11.26952 + 1706 | 6.736752 4.760478 1.42 0.158 -2.635626 16.10913 + 1707 | 5.06845 3.558512 1.42 0.156 -1.937509 12.07441 + 1708 | 1.862223 3.891621 0.48 0.633 -5.799558 9.524003 + 1709 | 11.34996 5.369039 2.11 0.035 .7794579 21.92047 + 1798 | 12.65473 5.374484 2.35 0.019 2.073502 23.23595 + 1799 | -.4496884 3.7734 -0.12 0.905 -7.878716 6.97934 + 1800 | 1.29049 4.241305 0.30 0.761 -7.059744 9.640724 + 1802 | 7.13638 3.862139 1.85 0.066 -.467357 14.74012 + 1803 | 6.997313 4.172939 1.68 0.095 -1.218324 15.21295 + 1804 | 9.635121 6.011664 1.60 0.110 -2.200578 21.47082 + 1806 | 15.0806 5.083126 2.97 0.003 5.072997 25.0882 + 1807 | 2.376327 2.925346 0.81 0.417 -3.383062 8.135717 + 1808 | -2.389632 3.216868 -0.74 0.458 -8.722966 3.943702 + 1900 | 7.659298 3.290493 2.33 0.021 1.181011 14.13758 + 1901 | 9.749585 6.742569 1.45 0.149 -3.52511 23.02428 + 1902 | 4.464617 4.112526 1.09 0.279 -3.632078 12.56131 + 1905 | 10.10475 6.184141 1.63 0.103 -2.070514 22.28002 + 1906 | 9.855368 3.970372 2.48 0.014 2.038543 17.67219 + 1907 | 16.95544 4.913077 3.45 0.001 7.28263 26.62825 + 1909 | 15.90281 3.571352 4.45 0.000 8.871569 22.93405 + 1910 | 9.813765 3.654387 2.69 0.008 2.619049 17.00848 + 1911 | 22.15727 3.446227 6.43 0.000 15.37237 28.94216 + 1914 | 13.24143 5.616067 2.36 0.019 2.18458 24.29828 + 1915 | 18.51294 3.608384 5.13 0.000 11.4088 25.61709 + 1919 | 6.184701 3.265169 1.89 0.059 -.2437287 12.61313 + 1920 | 8.682295 4.728254 1.84 0.067 -.6266395 17.99123 + 1925 | 17.59283 4.832297 3.64 0.000 8.079059 27.10661 + 1926 | 7.315154 3.491391 2.10 0.037 .4413416 14.18897 + 1927 | 13.75672 6.25924 2.20 0.029 1.433594 26.07984 + 1929 | 1.877785 3.84283 0.49 0.625 -5.687937 9.443506 + 1999 | -.8199925 3.507916 -0.23 0.815 -7.726338 6.086353 + 2000 | 4.184146 3.567862 1.17 0.242 -2.840221 11.20851 + 2001 | 2.538281 3.031406 0.84 0.403 -3.429919 8.50648 + 2002 | 6.170427 3.957915 1.56 0.120 -1.621872 13.96273 + 2003 | 9.561101 3.537881 2.70 0.007 2.595759 16.52644 + 2004 | 7.915265 3.228232 2.45 0.015 1.559557 14.27097 + 2005 | -4.157452 3.711195 -1.12 0.264 -11.46401 3.149108 + 2006 | 8.075098 4.670525 1.73 0.085 -1.120181 17.27038 + 2007 | 10.81647 7.855249 1.38 0.170 -4.648854 26.2818 + 2008 | 8.536728 4.07854 2.09 0.037 .5069427 16.56651 + 2009 | 3.814919 2.864077 1.33 0.184 -1.823844 9.453681 + 2011 | 9.027612 4.086923 2.21 0.028 .9813232 17.0739 + 2012 | 3.805862 3.570711 1.07 0.287 -3.224114 10.83584 + 2013 | -.3877206 3.458153 -0.11 0.911 -7.196094 6.420653 + 2014 | .2669726 3.666996 0.07 0.942 -6.952568 7.486514 + 2015 | -5.379495 3.184932 -1.69 0.092 -11.64995 .890963 + 2030 | 14.42562 4.90896 2.94 0.004 4.760912 24.09033 + 2099 | 7.8927 3.649981 2.16 0.031 .7066572 15.07874 + 2100 | 2.040335 3.371314 0.61 0.546 -4.597071 8.677741 + 2101 | 4.850849 3.297397 1.47 0.142 -1.641029 11.34273 + 2102 | 1.11675 3.475501 0.32 0.748 -5.725779 7.959279 + 2103 | 4.463979 3.385016 1.32 0.188 -2.200404 11.12836 + 2104 | 4.53335 4.642854 0.98 0.330 -4.607451 13.67415 + 2105 | 6.239004 3.937414 1.58 0.114 -1.512934 13.99094 + 9999 | 2.18812 4.034274 0.54 0.588 -5.754514 10.13075 + | + house_administration | 1.45185 1.923187 0.75 0.451 -2.3345 5.2382 + house_agriculture | 2.5011 1.493438 1.67 0.095 -.4391636 5.441364 + house_appropriations | .3792686 2.254705 0.17 0.867 -4.05977 4.818308 + house_armedservices | .4827468 1.78965 0.27 0.788 -3.040697 4.00619 + house_budget | -1.605614 2.692834 -0.60 0.552 -6.907236 3.696009 + house_dc | 6.643572 3.315611 2.00 0.046 .1158336 13.17131 + house_educlabor | 1.224885 1.10383 1.11 0.268 -.9483225 3.398093 + house_energycommerce | 1.273555 1.036676 1.23 0.220 -.767441 3.314552 + house_foreignaffairs | -2.928162 1.791892 -1.63 0.103 -6.45602 .5996955 + house_governmentop | -3.253476 2.393228 -1.36 0.175 -7.965237 1.458284 + house_intelligence | -4.75204 3.76796 -1.26 0.208 -12.17036 2.666279 + house_interior | .1519538 1.37147 0.11 0.912 -2.548182 2.85209 + house_judiciary | .2022981 1.025007 0.20 0.844 -1.815725 2.220321 + house_mmf | -.0356406 1.805999 -0.02 0.984 -3.591272 3.519991 + house_pocs | -3.713261 1.953815 -1.90 0.058 -7.55991 .1333881 + house_pwt | -.0672626 1.927493 -0.03 0.972 -3.86209 3.727565 + house_rules | -1.621722 1.715109 -0.95 0.345 -4.998409 1.754965 + house_sst | 1.62256 3.62449 0.45 0.655 -5.513296 8.758416 + house_smallbusi | 4.538569 3.158731 1.44 0.152 -1.680306 10.75744 + house_soc | 5.846667 4.901512 1.19 0.234 -3.803377 15.49671 + house_veterans | -.6807678 1.439909 -0.47 0.637 -3.515645 2.154109 + house_waysandmeans | -1.415688 .6416802 -2.21 0.028 -2.679021 -.1523548 +house_naturalresources | 3.342086 2.957963 1.13 0.260 -2.481519 9.165691 + house_bfs | 1.925164 1.368869 1.41 0.161 -.7698498 4.620177 + house_eeo | 6.875834 2.91283 2.36 0.019 1.141087 12.61058 + house_govreform | -.808942 1.353042 -0.60 0.550 -3.472796 1.854912 + house_ir | -1.754991 1.55709 -1.13 0.261 -4.820572 1.31059 + house_natsecur | 1.130065 3.196137 0.35 0.724 -5.162454 7.422584 + house_oversight | .8980369 2.242617 0.40 0.689 -3.517203 5.313277 + house_resources | .7126308 1.485251 0.48 0.632 -2.211516 3.636778 + house_science | -2.400412 2.400527 -1.00 0.318 -7.126544 2.32572 + house_transp | -.1773792 1.543921 -0.11 0.909 -3.217033 2.862275 + house_homeland | -.0146747 1.726678 -0.01 0.993 -3.414138 3.384789 + _cons | -3.882931 3.069226 -1.27 0.207 -9.925589 2.159727 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 271 1 0 1 1 + + +j = 3 k = 2 + + +rdbwselect_2014 pct_cosponsors_fem MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6186 +----------------------+---------------------- NN matches = 3 + Number of obs | 2192 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 22.32219 41.09859 .5431375 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(56,209 missing values generated) +(58,378 missing values generated) +(2,169 real changes made) +reg pct_cosponsors_fem sponsor_female i.v2 MV1_female femaleXMV1_female i.minor house_* [aw=wt] if sponsor_party==100 & tag_bill==1 & sample==1 & abs(MV1_female)<=2 +> 2.32218582343349, robust cluster(group_sponsor) +(sum of wgt is 3,658.16872513294) +note: house_dc omitted because of collinearity +note: house_soc omitted because of collinearity + +Linear regression Number of obs = 1,795 + F(151, 151) = . + Prob > F = . + R-squared = 0.2784 + Root MSE = 12.85 + + (Std. Err. adjusted for 152 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + pct_cosponsors_fem | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 1.134548 1.58062 0.72 0.474 -1.988439 4.257535 + | + v2 | + 102 | 1.34449 1.596439 0.84 0.401 -1.809752 4.498732 + 103 | 3.156662 1.816227 1.74 0.084 -.4318363 6.745161 + 104 | 1.182886 3.091291 0.38 0.703 -4.924883 7.290655 + 105 | 10.40369 2.015989 5.16 0.000 6.420505 14.38688 + 106 | 6.624461 2.097668 3.16 0.002 2.479891 10.76903 + 107 | 10.51709 1.872358 5.62 0.000 6.817683 14.21649 + 108 | 5.418995 2.327836 2.33 0.021 .8196581 10.01833 + 109 | 4.016996 2.080533 1.93 0.055 -.0937183 8.127711 + 110 | 7.743072 1.738037 4.46 0.000 4.30906 11.17708 + 111 | 7.652454 2.020208 3.79 0.000 3.660929 11.64398 + | + MV1_female | .0295666 .0899561 0.33 0.743 -.1481686 .2073018 + femaleXMV1_female | -.0222955 .1379951 -0.16 0.872 -.2949461 .2503551 + | + minor | + 104 | -4.173343 4.886742 -0.85 0.394 -13.82856 5.481876 + 105 | -8.706969 4.233114 -2.06 0.041 -17.07075 -.3431871 + 107 | -6.833733 1.999371 -3.42 0.001 -10.78409 -2.883378 + 108 | -2.289774 2.152375 -1.06 0.289 -6.542435 1.962886 + 200 | -.5673074 10.14617 -0.06 0.955 -20.61411 19.47949 + 202 | 28.81176 5.693255 5.06 0.000 17.56303 40.06048 + 205 | -3.486342 2.880734 -1.21 0.228 -9.178093 2.20541 + 206 | -13.15221 2.463459 -5.34 0.000 -18.01951 -8.284913 + 207 | 14.3288 3.560755 4.02 0.000 7.293461 21.36413 + 208 | -2.450456 5.699818 -0.43 0.668 -13.71215 8.811239 + 300 | 3.947433 7.472014 0.53 0.598 -10.81576 18.71063 + 301 | -5.54819 4.168258 -1.33 0.185 -13.78383 2.68745 + 302 | -1.655343 5.510287 -0.30 0.764 -12.54256 9.231877 + 321 | -12.69554 3.501934 -3.63 0.000 -19.61466 -5.776421 + 322 | -10.10523 3.160822 -3.20 0.002 -16.35038 -3.86008 + 323 | -3.38849 3.888927 -0.87 0.385 -11.07223 4.295248 + 324 | -9.498061 2.296966 -4.14 0.000 -14.0364 -4.959719 + 325 | -4.029422 4.064053 -0.99 0.323 -12.05917 4.00033 + 331 | -2.949917 2.677094 -1.10 0.272 -8.239316 2.339483 + 332 | 2.776808 4.173815 0.67 0.507 -5.469812 11.02343 + 333 | 4.234898 7.680938 0.55 0.582 -10.94109 19.41089 + 334 | -2.392959 4.139155 -0.58 0.564 -10.5711 5.785178 + 335 | -7.601966 4.420252 -1.72 0.088 -16.3355 1.131563 + 336 | -.2389046 3.757008 -0.06 0.949 -7.661996 7.184187 + 341 | 3.152982 4.466637 0.71 0.481 -5.672194 11.97816 + 342 | -8.008345 6.015222 -1.33 0.185 -19.89321 3.876524 + 343 | 3.291922 3.915168 0.84 0.402 -4.443662 11.02751 + 344 | -4.691791 2.374632 -1.98 0.050 -9.383587 5.02e-06 + 398 | 20.18918 9.176342 2.20 0.029 2.058572 38.31979 + 399 | -14.5088 4.129029 -3.51 0.001 -22.66693 -6.350664 + 400 | -13.12561 5.997094 -2.19 0.030 -24.97467 -1.276563 + 401 | 9.237323 3.586807 2.58 0.011 2.150514 16.32413 + 402 | -10.12459 3.161854 -3.20 0.002 -16.37178 -3.877403 + 403 | -2.458942 7.791712 -0.32 0.753 -17.8538 12.93591 + 404 | -8.268695 3.238968 -2.55 0.012 -14.66825 -1.869145 + 405 | 13.72665 17.02666 0.81 0.421 -19.91461 47.36791 + 498 | -8.011152 4.521969 -1.77 0.078 -16.94565 .92335 + 499 | -6.445634 5.665446 -1.14 0.257 -17.63942 4.748149 + 500 | -17.4412 4.710862 -3.70 0.000 -26.74892 -8.133488 + 501 | -13.6144 4.188432 -3.25 0.001 -21.8899 -5.338899 + 502 | 7.672909 11.48584 0.67 0.505 -15.02081 30.36663 + 503 | -7.901379 3.164837 -2.50 0.014 -14.15446 -1.648296 + 504 | -4.553345 2.873344 -1.58 0.115 -10.23049 1.123804 + 505 | -4.638111 5.718915 -0.81 0.419 -15.93754 6.661315 + 506 | -2.169978 6.576363 -0.33 0.742 -15.16355 10.82359 + 508 | 4.827208 3.122946 1.55 0.124 -1.343105 10.99752 + 530 | -5.085658 4.183596 -1.22 0.226 -13.3516 3.180287 + 600 | -5.836221 3.139877 -1.86 0.065 -12.03999 .3675451 + 601 | -7.46229 2.33247 -3.20 0.002 -12.07078 -2.853798 + 602 | -1.656446 2.497421 -0.66 0.508 -6.590847 3.277954 + 603 | -1.129744 4.432996 -0.25 0.799 -9.888452 7.628965 + 604 | 9.471151 11.45533 0.83 0.410 -13.16229 32.10459 + 606 | -6.110564 11.25364 -0.54 0.588 -28.3455 16.12437 + 607 | -8.20784 2.57186 -3.19 0.002 -13.28932 -3.126362 + 609 | -15.48914 3.185414 -4.86 0.000 -21.78288 -9.195408 + 698 | 4.200258 7.181184 0.58 0.559 -9.988319 18.38883 + 699 | -4.343358 3.065085 -1.42 0.159 -10.39935 1.712633 + 700 | -7.055786 4.091335 -1.72 0.087 -15.13944 1.027868 + 701 | -3.605992 2.727606 -1.32 0.188 -8.995192 1.783208 + 703 | -13.09716 3.001961 -4.36 0.000 -19.02843 -7.165885 + 704 | -12.82684 3.063238 -4.19 0.000 -18.87918 -6.7745 + 705 | -13.17292 3.315301 -3.97 0.000 -19.72329 -6.622551 + 707 | -3.18223 3.508016 -0.91 0.366 -10.11336 3.748904 + 708 | -12.2228 2.226812 -5.49 0.000 -16.62253 -7.823068 + 709 | -5.147834 3.38275 -1.52 0.130 -11.83147 1.535799 + 710 | 2.408488 3.26164 0.74 0.461 -4.035856 8.852832 + 711 | -12.34029 9.204879 -1.34 0.182 -30.52728 5.846703 + 798 | .7814855 8.750423 0.09 0.929 -16.50759 18.07056 + 799 | -2.441372 10.27504 -0.24 0.813 -22.74279 17.86004 + 800 | -12.57439 4.091841 -3.07 0.003 -20.65905 -4.489739 + 801 | -3.547188 4.520582 -0.78 0.434 -12.47895 5.384573 + 802 | -10.42389 3.605727 -2.89 0.004 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-.343013 + 1522 | -11.27551 2.462402 -4.58 0.000 -16.14072 -6.410301 + 1523 | -9.514542 4.036694 -2.36 0.020 -17.49024 -1.538847 + 1525 | -1.915996 4.959023 -0.39 0.700 -11.71403 7.882037 + 1526 | -11.83316 3.510733 -3.37 0.001 -18.76966 -4.896657 + 1599 | -9.974411 7.711192 -1.29 0.198 -25.21017 5.261353 + 1600 | -6.87493 4.356682 -1.58 0.117 -15.48286 1.732997 + 1603 | 13.40536 9.887749 1.36 0.177 -6.130843 32.94157 + 1604 | -2.257549 7.926054 -0.28 0.776 -17.91784 13.40274 + 1605 | -9.998549 3.487945 -2.87 0.005 -16.89003 -3.107071 + 1606 | -.7856751 3.241127 -0.24 0.809 -7.18949 5.61814 + 1608 | -6.434378 2.459925 -2.62 0.010 -11.29469 -1.574062 + 1609 | -4.502202 3.222032 -1.40 0.164 -10.86829 1.863885 + 1610 | 6.194325 3.04207 2.04 0.043 .1838068 12.20484 + 1611 | -15.20925 2.910584 -5.23 0.000 -20.95998 -9.458526 + 1612 | -5.589566 4.12248 -1.36 0.177 -13.73476 2.555625 + 1615 | -15.33048 3.604959 -4.25 0.000 -22.45316 -8.207809 + 1616 | -5.550886 8.990833 -0.62 0.538 -23.31496 12.21319 + 1619 | 4.056002 5.211799 0.78 0.438 -6.241466 14.35347 + 1620 | -11.01119 7.007579 -1.57 0.118 -24.85676 2.834373 + 1698 | -5.259992 3.329263 -1.58 0.116 -11.83795 1.317962 + 1699 | -11.69593 3.599573 -3.25 0.001 -18.80796 -4.583897 + 1701 | -9.485351 6.23235 -1.52 0.130 -21.79922 2.82852 + 1706 | -10.20512 4.199884 -2.43 0.016 -18.50324 -1.906992 + 1707 | -9.416444 3.508321 -2.68 0.008 -16.34818 -2.484707 + 1708 | -1.574548 2.049443 -0.77 0.444 -5.623835 2.47474 + 1709 | 3.720294 3.149307 1.18 0.239 -2.502104 9.942693 + 1798 | 8.502775 1.877088 4.53 0.000 4.794026 12.21152 + 1800 | -14.82002 6.752672 -2.19 0.030 -28.16195 -1.478102 + 1802 | -12.04411 2.401886 -5.01 0.000 -16.78976 -7.29847 + 1803 | -10.205 2.949391 -3.46 0.001 -16.03241 -4.377599 + 1804 | -12.51211 1.878238 -6.66 0.000 -16.22313 -8.801091 + 1806 | 8.305431 2.796893 2.97 0.003 2.779334 13.83153 + 1807 | -12.02658 1.417654 -8.48 0.000 -14.82758 -9.225585 + 1900 | -9.242779 3.566168 -2.59 0.010 -16.28881 -2.196749 + 1901 | -11.19211 4.768875 -2.35 0.020 -20.61445 -1.769777 + 1902 | -4.263192 4.749374 -0.90 0.371 -13.647 5.120616 + 1905 | -2.6561 2.391363 -1.11 0.268 -7.380953 2.068753 + 1906 | -14.74895 2.478423 -5.95 0.000 -19.64582 -9.852089 + 1908 | -7.375224 3.075293 -2.40 0.018 -13.45139 -1.299064 + 1909 | -3.442854 2.569393 -1.34 0.182 -8.519458 1.63375 + 1920 | -8.338112 6.852541 -1.22 0.226 -21.87735 5.201131 + 1925 | -3.129521 7.036631 -0.44 0.657 -17.03249 10.77345 + 1926 | -3.046001 3.043131 -1.00 0.318 -9.058616 2.966614 + 1927 | -2.421741 8.735024 -0.28 0.782 -19.68039 14.83691 + 1929 | -16.64981 2.723885 -6.11 0.000 -22.03166 -11.26796 + 1999 | -15.69928 2.73221 -5.75 0.000 -21.09758 -10.30098 + 2000 | -6.289405 4.658783 -1.35 0.179 -15.49422 2.915414 + 2001 | -12.74123 1.606368 -7.93 0.000 -15.91509 -9.567373 + 2002 | -8.511647 5.287758 -1.61 0.110 -18.95919 1.935899 + 2003 | -4.179355 3.319933 -1.26 0.210 -10.73888 2.380166 + 2004 | -9.34896 2.923664 -3.20 0.002 -15.12553 -3.572388 + 2005 | -16.13461 7.802096 -2.07 0.040 -31.54999 -.7192414 + 2006 | -7.22674 4.51139 -1.60 0.111 -16.14034 1.686859 + 2007 | -6.331864 8.242076 -0.77 0.444 -22.61655 9.95282 + 2008 | -7.559487 3.241845 -2.33 0.021 -13.96472 -1.154252 + 2011 | .2570811 5.409954 0.05 0.962 -10.4319 10.94606 + 2012 | -6.190266 4.582055 -1.35 0.179 -15.24349 2.862954 + 2013 | -2.995087 4.229309 -0.71 0.480 -11.35135 5.361178 + 2014 | -3.857128 4.328656 -0.89 0.374 -12.40968 4.695426 + 2030 | 1.472235 2.885033 0.51 0.611 -4.22801 7.17248 + 2099 | -7.154719 2.427477 -2.95 0.004 -11.95093 -2.358512 + 2100 | 1.38215 4.516416 0.31 0.760 -7.54138 10.30568 + 2101 | -7.648569 2.368894 -3.23 0.002 -12.32903 -2.968111 + 2102 | -8.298884 4.295379 -1.93 0.055 -16.78569 .187921 + 2103 | -7.005869 2.545129 -2.75 0.007 -12.03453 -1.977206 + 2104 | -4.277416 5.050304 -0.85 0.398 -14.2558 5.700968 + 9999 | -15.64488 1.838473 -8.51 0.000 -19.27734 -12.01243 + | + house_administration | -.6084109 3.661224 -0.17 0.868 -7.842254 6.625432 + house_agriculture | -1.321021 2.648856 -0.50 0.619 -6.554628 3.912586 + house_appropriations | -.6073651 3.876763 -0.16 0.876 -8.267068 7.052338 + house_armedservices | -1.344803 1.888563 -0.71 0.478 -5.076225 2.386618 + house_budget | -5.345873 4.725069 -1.13 0.260 -14.68166 3.989914 + house_dc | 0 (omitted) + house_educlabor | 1.135636 1.3539 0.84 0.403 -1.539399 3.810671 + house_energycommerce | 1.727206 1.518453 1.14 0.257 -1.272952 4.727365 + house_foreignaffairs | 2.898761 2.06499 1.40 0.162 -1.181245 6.978767 + house_governmentop | -1.277352 3.479847 -0.37 0.714 -8.152829 5.598126 + house_intelligence | -13.00951 9.986131 -1.30 0.195 -32.7401 6.721072 + house_interior | -3.075413 1.583653 -1.94 0.054 -6.204394 .0535675 + house_judiciary | 4.111738 1.856966 2.21 0.028 .4427464 7.780729 + house_mmf | -4.380522 2.157472 -2.03 0.044 -8.643253 -.1177916 + house_pocs | -3.649836 1.856784 -1.97 0.051 -7.318468 .0187968 + house_pwt | .1838459 2.409496 0.08 0.939 -4.576835 4.944526 + house_rules | 2.282603 2.416069 0.94 0.346 -2.491063 7.056269 + house_sst | -2.433876 5.551163 -0.44 0.662 -13.40186 8.534107 + house_smallbusi | 5.825002 3.435086 1.70 0.092 -.962036 12.61204 + house_soc | 0 (omitted) + house_veterans | -.9572935 1.989773 -0.48 0.631 -4.888684 2.974097 + house_waysandmeans | -1.404685 1.230129 -1.14 0.255 -3.835172 1.025801 +house_naturalresources | -1.971324 2.384753 -0.83 0.410 -6.683116 2.740467 + house_bfs | 4.638688 2.153114 2.15 0.033 .384568 8.892807 + house_eeo | 1.502653 3.841341 0.39 0.696 -6.087065 9.092371 + house_govreform | 3.392458 2.789983 1.22 0.226 -2.119988 8.904905 + house_ir | -3.84373 2.373871 -1.62 0.107 -8.534022 .8465624 + house_natsecur | 1.943986 3.12949 0.62 0.535 -4.239256 8.127229 + house_oversight | -1.417947 4.26787 -0.33 0.740 -9.8504 7.014505 + house_resources | .6414595 2.657119 0.24 0.810 -4.608473 5.891392 + house_science | 1.160054 4.283479 0.27 0.787 -7.30324 9.623348 + house_transp | 1.560978 1.956291 0.80 0.426 -2.304259 5.426216 + house_homeland | 9.793559 4.697729 2.08 0.039 .51179 19.07533 + _cons | 9.54335 2.152721 4.43 0.000 5.290007 13.79669 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 152 1 0 1 1 + + +j = 3 k = 3 + + +rdbwselect_2014 pct_cosponsors_fem MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 11.83574 19.60256 .6037853 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(57,072 missing values generated) +(60,750 missing values generated) +(3,678 real changes made) +reg pct_cosponsors_fem sponsor_female i.v2 MV1_female femaleXMV1_female i.minor house_* [aw=wt] if sponsor_party==200 & tag_bill==1 & sample==1 & abs(MV1_female)<=1 +> 1.83573539091743, robust cluster(group_sponsor) +(sum of wgt is 1,985.57533061504) +note: house_dc omitted because of collinearity + +Linear regression Number of obs = 1,130 + F(91, 92) = . + Prob > F = . + R-squared = 0.3033 + Root MSE = 12.326 + + (Std. Err. adjusted for 93 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + pct_cosponsors_fem | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -.186822 2.117069 -0.09 0.930 -4.391504 4.01786 + | + v2 | + 103 | -3.426677 1.994458 -1.72 0.089 -7.387842 .5344878 + 104 | -3.694745 2.443868 -1.51 0.134 -8.548477 1.158987 + 105 | -.5627456 2.283984 -0.25 0.806 -5.098935 3.973444 + 106 | .1220252 2.203323 0.06 0.956 -4.253965 4.498016 + 107 | 3.184775 2.115902 1.51 0.136 -1.017589 7.38714 + 108 | 1.464249 2.818929 0.52 0.605 -4.134386 7.062885 + 109 | .1644859 2.394099 0.07 0.945 -4.590402 4.919373 + 110 | 3.835745 2.343653 1.64 0.105 -.8189531 8.490443 + 111 | 6.794806 3.585899 1.89 0.061 -.3270991 13.91671 + | + MV1_female | -.0649222 .1800375 -0.36 0.719 -.4224922 .2926478 + femaleXMV1_female | .0873906 .2781268 0.31 0.754 -.4649933 .6397744 + | + minor | + 101 | 12.28647 9.642573 1.27 0.206 -6.864517 31.43745 + 104 | -.8383907 5.579277 -0.15 0.881 -11.91932 10.24253 + 105 | 6.550426 5.69798 1.15 0.253 -4.766255 17.86711 + 107 | 9.700947 4.43162 2.19 0.031 .8993672 18.50253 + 200 | 5.018993 4.237559 1.18 0.239 -3.397165 13.43515 + 202 | 18.01148 5.42168 3.32 0.001 7.243557 28.7794 + 204 | 5.85673 5.227776 1.12 0.265 -4.526084 16.23954 + 206 | 3.161342 7.44972 0.42 0.672 -11.63444 17.95713 + 207 | 9.090363 4.056564 2.24 0.027 1.033678 17.14705 + 208 | 11.31854 6.132378 1.85 0.068 -.8608914 23.49797 + 209 | .4410195 4.270165 0.10 0.918 -8.039898 8.921937 + 300 | 7.812065 11.0999 0.70 0.483 -14.23329 29.85742 + 301 | 3.726532 4.929885 0.76 0.452 -6.064646 13.51771 + 302 | 11.15478 4.841688 2.30 0.023 1.538774 20.77079 + 321 | -.2313113 5.303262 -0.04 0.965 -10.76405 10.30142 + 322 | 17.71938 6.393847 2.77 0.007 5.02065 30.41811 + 323 | .0917024 4.316947 0.02 0.983 -8.482126 8.665531 + 324 | -4.009197 4.296694 -0.93 0.353 -12.5428 4.524407 + 325 | 10.60098 5.576492 1.90 0.060 -.4744128 21.67638 + 331 | 24.72747 5.858319 4.22 0.000 13.09235 36.3626 + 332 | 15.01494 4.686905 3.20 0.002 5.706346 24.32354 + 333 | 9.973428 7.856055 1.27 0.207 -5.629375 25.57623 + 334 | 10.15572 9.146309 1.11 0.270 -8.009639 28.32108 + 335 | -3.011466 4.790301 -0.63 0.531 -12.52542 6.502486 + 336 | 11.90071 4.654642 2.56 0.012 2.656192 21.14524 + 341 | 11.01728 9.103434 1.21 0.229 -7.062922 29.09749 + 343 | 3.332858 7.136679 0.47 0.642 -10.8412 17.50692 + 398 | 13.45226 5.332236 2.52 0.013 2.861974 24.04254 + 399 | 39.60962 14.15591 2.80 0.006 11.49475 67.72449 + 400 | -8.990175 5.168099 -1.74 0.085 -19.25447 1.274115 + 401 | 5.329178 5.477967 0.97 0.333 -5.550538 16.20889 + 402 | 2.460905 5.353876 0.46 0.647 -8.172355 13.09417 + 403 | 1.923669 5.313291 0.36 0.718 -8.628986 12.47632 + 499 | 5.87363 4.106583 1.43 0.156 -2.282399 14.02966 + 500 | .5973701 5.777169 0.10 0.918 -10.87659 12.07133 + 503 | 8.865826 4.593334 1.93 0.057 -.2569327 17.98858 + 505 | -.6446685 5.966149 -0.11 0.914 -12.49396 11.20462 + 508 | 20.80625 4.529531 4.59 0.000 11.81021 29.80229 + 530 | 5.158094 4.363132 1.18 0.240 -3.507463 13.82365 + 599 | 7.059498 4.125409 1.71 0.090 -1.13392 15.25292 + 600 | -1.45287 4.186923 -0.35 0.729 -9.768461 6.86272 + 601 | 6.879775 4.579913 1.50 0.136 -2.216328 15.97588 + 602 | 7.088597 4.247347 1.67 0.099 -1.347001 15.52419 + 603 | 2.515563 5.944542 0.42 0.673 -9.290811 14.32194 + 604 | -.8377346 4.538836 -0.18 0.854 -9.852254 8.176785 + 606 | 2.090886 5.319641 0.39 0.695 -8.474381 12.65615 + 607 | 3.614239 5.010972 0.72 0.473 -6.337983 13.56646 + 609 | 1.451806 4.708442 0.31 0.759 -7.899566 10.80318 + 699 | -1.636696 4.393944 -0.37 0.710 -10.36345 7.090055 + 700 | 1.667007 4.715643 0.35 0.725 -7.698668 11.03268 + 701 | 1.558247 5.292611 0.29 0.769 -8.953335 12.06983 + 703 | 3.885561 4.674554 0.83 0.408 -5.398507 13.16963 + 704 | -2.39047 4.577453 -0.52 0.603 -11.48169 6.700747 + 705 | 2.53258 4.990688 0.51 0.613 -7.379357 12.44452 + 707 | .1938309 5.633733 0.03 0.973 -10.99525 11.38291 + 709 | 6.404223 4.561267 1.40 0.164 -2.654848 15.46329 + 710 | 3.826759 6.582384 0.58 0.562 -9.246425 16.89994 + 711 | .5106668 10.91241 0.05 0.963 -21.16232 22.18365 + 798 | 4.632729 4.709168 0.98 0.328 -4.720085 13.98554 + 800 | 21.12 5.649746 3.74 0.000 9.899113 32.34088 + 801 | 26.63463 13.44961 1.98 0.051 -.0774618 53.34671 + 802 | 1.998955 5.575644 0.36 0.721 -9.074754 13.07267 + 803 | 8.657687 5.412126 1.60 0.113 -2.091263 19.40664 + 805 | 2.525943 5.876692 0.43 0.668 -9.145674 14.19756 + 806 | 9.971806 4.669415 2.14 0.035 .6979451 19.24567 + 807 | .1658448 3.99043 0.04 0.967 -7.759494 8.091184 + 1001 | -.8231345 5.286753 -0.16 0.877 -11.32308 9.676813 + 1002 | -1.614648 5.352652 -0.30 0.764 -12.24548 9.01618 + 1003 | 6.685863 4.931171 1.36 0.178 -3.107868 16.47959 + 1005 | 35.43871 5.59717 6.33 0.000 24.32224 46.55517 + 1006 | 3.44563 5.001034 0.69 0.493 -6.486855 13.37812 + 1007 | 1.982691 4.525237 0.44 0.662 -7.00482 10.9702 + 1010 | 3.217819 6.099954 0.53 0.599 -8.897217 15.33286 + 1202 | 3.756602 6.456969 0.58 0.562 -9.067495 16.5807 + 1203 | 14.05206 6.031813 2.33 0.022 2.072361 26.03176 + 1204 | 14.52931 4.614393 3.15 0.002 5.364728 23.69389 + 1205 | 3.895601 4.463445 0.87 0.385 -4.969187 12.76039 + 1206 | 6.312971 8.245063 0.77 0.446 -10.06244 22.68838 + 1207 | 12.70296 5.38801 2.36 0.021 2.001911 23.40402 + 1208 | 29.78433 6.213252 4.79 0.000 17.44427 42.12439 + 1209 | 8.490487 5.162238 1.64 0.103 -1.762163 18.74314 + 1210 | 8.705628 6.195815 1.41 0.163 -3.599794 21.01105 + 1211 | 13.9694 6.430666 2.17 0.032 1.19754 26.74125 + 1300 | -9.582717 6.064128 -1.58 0.117 -21.6266 2.461164 + 1302 | 33.16762 3.982258 8.33 0.000 25.25851 41.07673 + 1303 | 10.684 3.893651 2.74 0.007 2.950871 18.41713 + 1304 | 9.494474 4.814273 1.97 0.052 -.0670885 19.05604 + 1399 | 1.949601 3.811178 0.51 0.610 -5.619728 9.51893 + 1400 | 9.712907 4.541555 2.14 0.035 .6929863 18.73283 + 1401 | -.842359 7.113573 -0.12 0.906 -14.97053 13.28581 + 1404 | 4.841463 3.967932 1.22 0.226 -3.039192 12.72212 + 1405 | 16.9987 4.750902 3.58 0.001 7.562997 26.4344 + 1406 | .2422389 3.755727 0.06 0.949 -7.216959 7.701436 + 1407 | 11.72096 5.450578 2.15 0.034 .895645 22.54628 + 1409 | 4.455937 5.992135 0.74 0.459 -7.444961 16.35683 + 1410 | 11.14789 4.628494 2.41 0.018 1.955301 20.34048 + 1499 | -.0753339 4.356038 -0.02 0.986 -8.726801 8.576133 + 1500 | 4.467018 10.71983 0.42 0.678 -16.82348 25.75752 + 1501 | 2.442719 4.810895 0.51 0.613 -7.112134 11.99757 + 1502 | 4.02005 5.286948 0.76 0.449 -6.480285 14.52038 + 1504 | 8.436815 10.73972 0.79 0.434 -12.89319 29.76682 + 1505 | 8.411283 5.350924 1.57 0.119 -2.216114 19.03868 + 1507 | 4.208366 4.78724 0.88 0.382 -5.299507 13.71624 + 1520 | -1.054492 5.381729 -0.20 0.845 -11.74307 9.634087 + 1521 | 3.923545 5.20399 0.75 0.453 -6.412028 14.25912 + 1523 | 3.99646 3.962439 1.01 0.316 -3.873287 11.86621 + 1524 | 4.985449 4.458989 1.12 0.266 -3.870489 13.84139 + 1525 | 6.420218 4.900668 1.31 0.193 -3.312931 16.15337 + 1526 | 6.150407 4.125409 1.49 0.139 -2.043011 14.34383 + 1599 | 6.762678 4.055733 1.67 0.099 -1.292357 14.81771 + 1600 | .1626232 7.639018 0.02 0.983 -15.00913 15.33437 + 1603 | 10.10948 7.304546 1.38 0.170 -4.397975 24.61694 + 1604 | 4.261968 4.828964 0.88 0.380 -5.328771 13.85271 + 1605 | 13.52978 4.549993 2.97 0.004 4.493097 22.56645 + 1608 | 1.948325 6.691412 0.29 0.772 -11.3414 15.23805 + 1609 | 9.688061 4.902282 1.98 0.051 -.0482939 19.42442 + 1610 | -3.576801 8.167259 -0.44 0.662 -19.79768 12.64408 + 1611 | -8.561608 9.83349 -0.87 0.386 -28.09177 10.96855 + 1615 | 7.161147 6.686123 1.07 0.287 -6.118071 20.44036 + 1616 | 1.188335 7.859104 0.15 0.880 -14.42052 16.79719 + 1617 | 11.58065 7.754373 1.49 0.139 -3.820201 26.98151 + 1619 | 3.288911 5.846359 0.56 0.575 -8.322462 14.90028 + 1698 | -6.256413 7.699726 -0.81 0.419 -21.54873 9.035908 + 1699 | -5.293194 6.149068 -0.86 0.392 -17.50577 6.919385 + 1701 | 2.001943 4.123811 0.49 0.629 -6.188302 10.19219 + 1704 | 10.79781 5.940537 1.82 0.072 -1.000614 22.59622 + 1706 | 6.890318 7.100449 0.97 0.334 -7.211787 20.99242 + 1707 | -2.098488 4.533238 -0.46 0.645 -11.10189 6.904914 + 1709 | 6.255497 5.597021 1.12 0.267 -4.860669 17.37166 + 1798 | 5.895344 4.715576 1.25 0.214 -3.470196 15.26088 + 1800 | 4.632213 4.834331 0.96 0.340 -4.969185 14.23361 + 1802 | 7.863856 9.396492 0.84 0.405 -10.79839 26.5261 + 1803 | 2.085408 5.047789 0.41 0.680 -7.939936 12.11075 + 1806 | 11.3892 6.436827 1.77 0.080 -1.39489 24.1733 + 1807 | 4.02172 4.750659 0.85 0.399 -5.413499 13.45694 + 1808 | -2.925972 4.654152 -0.63 0.531 -12.16952 6.317575 + 1900 | 9.49982 4.917566 1.93 0.056 -.2668909 19.26653 + 1901 | 16.37329 11.07593 1.48 0.143 -5.624475 38.37105 + 1902 | 11.98194 4.573825 2.62 0.010 2.897925 21.06595 + 1905 | 4.876196 4.726197 1.03 0.305 -4.510438 14.26283 + 1906 | 19.78782 4.178105 4.74 0.000 11.48975 28.0859 + 1907 | 22.47697 4.956285 4.54 0.000 12.63336 32.32058 + 1909 | 15.8732 4.861026 3.27 0.002 6.218786 25.52762 + 1910 | 12.3687 4.946404 2.50 0.014 2.54471 22.19268 + 1914 | 4.876196 4.726197 1.03 0.305 -4.510438 14.26283 + 1915 | 16.8619 7.600883 2.22 0.029 1.765892 31.95791 + 1919 | 6.85734 5.417377 1.27 0.209 -3.902039 17.61672 + 1925 | 23.35768 7.391387 3.16 0.002 8.677748 38.03761 + 1926 | 6.887677 4.852992 1.42 0.159 -2.750784 16.52614 + 1927 | 12.57628 5.483845 2.29 0.024 1.68489 23.46767 + 1929 | 7.343386 6.663089 1.10 0.273 -5.890084 20.57685 + 2000 | 5.836873 4.474214 1.30 0.195 -3.049302 14.72305 + 2001 | 4.021878 5.485201 0.73 0.465 -6.872205 14.91596 + 2002 | 5.968973 4.536061 1.32 0.191 -3.040036 14.97798 + 2003 | 9.753433 4.637332 2.10 0.038 .5432913 18.96358 + 2004 | 9.6074 4.960844 1.94 0.056 -.2452657 19.46006 + 2005 | -7.040032 4.842253 -1.45 0.149 -16.65716 2.577101 + 2006 | 10.41778 6.923653 1.50 0.136 -3.333193 24.16875 + 2007 | -1.657309 5.231894 -0.32 0.752 -12.0483 8.733684 + 2008 | 9.771417 5.777049 1.69 0.094 -1.702301 21.24514 + 2009 | 4.529002 4.006373 1.13 0.261 -3.428001 12.486 + 2011 | 7.62491 4.550341 1.68 0.097 -1.412461 16.66228 + 2012 | 2.706492 4.107377 0.66 0.512 -5.451113 10.8641 + 2013 | 1.229706 4.834157 0.25 0.800 -8.371346 10.83076 + 2014 | 1.088193 4.610729 0.24 0.814 -8.069113 10.2455 + 2015 | -3.920092 4.237471 -0.93 0.357 -12.33608 4.495891 + 2100 | 2.089377 4.679131 0.45 0.656 -7.20378 11.38253 + 2101 | 5.386744 4.372774 1.23 0.221 -3.297963 14.07145 + 2102 | 2.06209 6.982621 0.30 0.768 -11.806 15.93018 + 2103 | 1.121017 4.870331 0.23 0.818 -8.551881 10.79392 + 2104 | 2.050489 5.484296 0.37 0.709 -8.841796 12.94277 + 2105 | 7.225223 10.47123 0.69 0.492 -13.57154 28.02198 + | + house_administration | -1.936927 1.927673 -1.00 0.318 -5.765451 1.891597 + house_agriculture | 7.534518 2.194689 3.43 0.001 3.175676 11.89336 + house_appropriations | -.0384022 4.222474 -0.01 0.993 -8.4246 8.347796 + house_armedservices | 3.337923 5.561208 0.60 0.550 -7.707116 14.38296 + house_budget | -.6804868 4.109658 -0.17 0.869 -8.842623 7.481649 + house_dc | 0 (omitted) + house_educlabor | 1.391364 2.344697 0.59 0.554 -3.265406 6.048134 + house_energycommerce | 2.316776 1.933685 1.20 0.234 -1.523689 6.157242 + house_foreignaffairs | -5.84537 4.399889 -1.33 0.187 -14.58393 2.893189 + house_governmentop | -4.02653 2.986874 -1.35 0.181 -9.95872 1.905661 + house_intelligence | 4.736193 6.051053 0.78 0.436 -7.28172 16.75411 + house_interior | -2.002217 3.908048 -0.51 0.610 -9.763938 5.759504 + house_judiciary | -.3187316 1.310167 -0.24 0.808 -2.920836 2.283373 + house_mmf | -1.490833 3.321422 -0.45 0.655 -8.087463 5.105797 + house_pocs | -6.139585 2.077223 -2.96 0.004 -10.26513 -2.014041 + house_pwt | .7691911 2.52788 0.30 0.762 -4.251397 5.78978 + house_rules | -1.136286 2.028249 -0.56 0.577 -5.164564 2.891991 + house_sst | 10.88 7.465032 1.46 0.148 -3.946196 25.7062 + house_smallbusi | -2.082784 4.380118 -0.48 0.636 -10.78208 6.616508 + house_soc | 13.37781 3.367595 3.97 0.000 6.689473 20.06614 + house_veterans | .5778506 3.155587 0.18 0.855 -5.689417 6.845118 + house_waysandmeans | -1.124377 1.078806 -1.04 0.300 -3.266979 1.018224 +house_naturalresources | 9.119693 2.778376 3.28 0.001 3.601598 14.63779 + house_bfs | .2778323 3.114931 0.09 0.929 -5.908689 6.464354 + house_eeo | 8.224735 4.789347 1.72 0.089 -1.287321 17.73679 + house_govreform | -.6644474 2.146601 -0.31 0.758 -4.927783 3.598888 + house_ir | -5.3792 2.768978 -1.94 0.055 -10.87863 .1202298 + house_natsecur | 10.58321 6.503331 1.63 0.107 -2.332966 23.49939 + house_oversight | 3.120498 3.171993 0.98 0.328 -3.179355 9.42035 + house_resources | .1295263 2.494891 0.05 0.959 -4.825542 5.084595 + house_science | -6.359107 4.603911 -1.38 0.171 -15.50287 2.784659 + house_transp | .9684295 2.999522 0.32 0.748 -4.988881 6.92574 + house_homeland | -2.950543 3.796756 -0.78 0.439 -10.49123 4.590143 + _cons | -.4183634 4.586252 -0.09 0.928 -9.527056 8.690329 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 93 1 0 1 1 + + +j = 4 k = 1 + + +rdbwselect_2014 pct_cosponsors_fem MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11989 +----------------------+---------------------- NN matches = 3 + Number of obs | 6150 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 17.75164 29.65608 .5985837 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(6,677 missing values generated) +(54,574 missing values generated) +(47,897 real changes made) +reg pct_cosponsors_fem sponsor_female i.v2 i.minor house_* [aw=wt] if tag_bill==1, robust cluster(group_sponsor) +(sum of wgt is 119,189.194591641) + +Linear regression Number of obs = 55,670 + F(268, 4402) = . + Prob > F = . + R-squared = 0.1332 + Root MSE = 11.92 + + (Std. Err. adjusted for 4,403 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + pct_cosponsors_fem | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 1.906168 .2708096 7.04 0.000 1.375245 2.437091 + | + v2 | + 102 | .3921616 .5701292 0.69 0.492 -.7255785 1.509902 + 103 | 2.378759 .7072848 3.36 0.001 .992125 3.765393 + 104 | 1.880672 .5358617 3.51 0.000 .8301133 2.93123 + 105 | 4.252566 .6441478 6.60 0.000 2.989712 5.515419 + 106 | 4.526071 .5272878 8.58 0.000 3.492322 5.55982 + 107 | 5.574954 .6246472 8.92 0.000 4.350331 6.799576 + 108 | 4.641657 .6379876 7.28 0.000 3.39088 5.892433 + 109 | 3.801303 .6004027 6.33 0.000 2.624212 4.978395 + 110 | 5.452321 .52829 10.32 0.000 4.416607 6.488035 + 111 | 5.643419 .575099 9.81 0.000 4.515935 6.770902 + | + minor | + 101 | 8.749868 4.962245 1.76 0.078 -.9786286 18.47837 + 103 | -4.583832 2.862879 -1.60 0.109 -10.19652 1.028852 + 104 | -1.950204 2.016247 -0.97 0.333 -5.903062 2.002654 + 105 | 1.14524 2.064606 0.55 0.579 -2.902426 5.192907 + 107 | 2.894594 1.908201 1.52 0.129 -.8464394 6.635628 + 108 | 3.097839 2.305867 1.34 0.179 -1.42282 7.618498 + 110 | -1.995952 4.24446 -0.47 0.638 -10.31723 6.325325 + 200 | 6.29934 2.491897 2.53 0.012 1.413968 11.18471 + 201 | 4.201956 2.881218 1.46 0.145 -1.446681 9.850593 + 202 | 10.25467 3.099202 3.31 0.001 4.17867 16.33066 + 204 | -3.377997 3.025778 -1.12 0.264 -9.310043 2.554049 + 205 | 5.54551 2.715628 2.04 0.041 .2215132 10.86951 + 206 | 4.72188 2.297792 2.05 0.040 .2170506 9.226709 + 207 | 1.539717 2.991276 0.51 0.607 -4.324689 7.404123 + 208 | 3.612273 2.17349 1.66 0.097 -.6488602 7.873406 + 209 | -4.345939 4.593424 -0.95 0.344 -13.35136 4.659484 + 299 | 3.188146 3.244657 0.98 0.326 -3.173013 9.549305 + 300 | 3.303165 2.473142 1.34 0.182 -1.545437 8.151767 + 301 | 5.859922 2.210739 2.65 0.008 1.525761 10.19408 + 302 | 3.841108 1.996771 1.92 0.054 -.0735679 7.755783 + 321 | 4.879289 2.271766 2.15 0.032 .4254853 9.333092 + 322 | .7736315 2.026001 0.38 0.703 -3.19835 4.745613 + 323 | 1.336065 2.200485 0.61 0.544 -2.977992 5.650123 + 324 | .2111079 2.134805 0.10 0.921 -3.974183 4.396399 + 325 | 4.179954 2.327078 1.80 0.073 -.3822892 8.742198 + 331 | 12.01528 2.598509 4.62 0.000 6.920892 17.10966 + 332 | 8.307352 2.218588 3.74 0.000 3.957803 12.6569 + 333 | 13.25857 2.656047 4.99 0.000 8.051385 18.46576 + 334 | 5.135303 1.993184 2.58 0.010 1.227659 9.042946 + 335 | 2.051781 2.255502 0.91 0.363 -2.370138 6.4737 + 336 | 7.770033 2.398052 3.24 0.001 3.068645 12.47142 + 341 | 7.719924 2.409249 3.20 0.001 2.996584 12.44326 + 342 | 4.385385 3.257231 1.35 0.178 -2.000426 10.7712 + 343 | 5.960212 2.752287 2.17 0.030 .5643438 11.35608 + 344 | 4.640732 2.640784 1.76 0.079 -.536532 9.817997 + 398 | 9.052405 2.720381 3.33 0.001 3.719089 14.38572 + 399 | 15.43199 8.748746 1.76 0.078 -1.719958 32.58393 + 400 | .6000433 2.548495 0.24 0.814 -4.396288 5.596375 + 401 | 4.080431 3.358152 1.22 0.224 -2.503235 10.6641 + 402 | 1.014594 2.16933 0.47 0.640 -3.238384 5.267571 + 403 | 8.663059 2.507949 3.45 0.001 3.746217 13.5799 + 404 | -.0884247 2.291602 -0.04 0.969 -4.581118 4.404269 + 405 | 8.933297 6.713441 1.33 0.183 -4.228425 22.09502 + 498 | -3.331968 2.647542 -1.26 0.208 -8.522481 1.858546 + 499 | 4.310408 3.219015 1.34 0.181 -2.00048 10.6213 + 500 | 2.962301 3.99394 0.74 0.458 -4.867831 10.79243 + 501 | -2.286827 2.152691 -1.06 0.288 -6.507185 1.933532 + 502 | 5.166351 2.385996 2.17 0.030 .488598 9.844105 + 503 | 2.452772 1.908816 1.28 0.199 -1.289467 6.195011 + 504 | .8583246 2.159638 0.40 0.691 -3.375652 5.092301 + 505 | -1.207328 2.423509 -0.50 0.618 -5.958626 3.54397 + 506 | 7.067365 2.997465 2.36 0.018 1.190826 12.9439 + 508 | 9.568224 2.560071 3.74 0.000 4.549196 14.58725 + 529 | -3.24625 2.401667 -1.35 0.177 -7.954726 1.462226 + 530 | 2.041132 1.969489 1.04 0.300 -1.820058 5.902322 + 599 | -1.264495 3.822523 -0.33 0.741 -8.758563 6.229573 + 600 | 3.417228 2.399902 1.42 0.155 -1.287787 8.122243 + 601 | 2.378022 1.915768 1.24 0.215 -1.377847 6.13389 + 602 | 5.052836 2.142618 2.36 0.018 .8522273 9.253445 + 603 | 8.969784 3.474658 2.58 0.010 2.157706 15.78186 + 604 | 1.480039 3.933556 0.38 0.707 -6.23171 9.191788 + 606 | 2.263722 2.782879 0.81 0.416 -3.19212 7.719564 + 607 | 4.845762 2.266426 2.14 0.033 .4024274 9.289097 + 609 | 2.231112 4.002546 0.56 0.577 -5.615892 10.07812 + 698 | 9.321736 3.845845 2.42 0.015 1.781945 16.86153 + 699 | 1.921576 2.500383 0.77 0.442 -2.980433 6.823585 + 700 | 2.278265 2.298753 0.99 0.322 -2.228447 6.784977 + 701 | 4.773288 2.396616 1.99 0.046 .074716 9.47186 + 703 | .5657357 2.297263 0.25 0.805 -3.938055 5.069526 + 704 | -.3110312 1.952387 -0.16 0.873 -4.138692 3.516629 + 705 | -.36876 2.008257 -0.18 0.854 -4.305953 3.568434 + 707 | 1.04095 2.409339 0.43 0.666 -3.682566 5.764466 + 708 | 10.67813 2.807893 3.80 0.000 5.173245 16.18301 + 709 | 1.11461 1.982202 0.56 0.574 -2.771504 5.000723 + 710 | 2.339583 2.057294 1.14 0.256 -1.693749 6.372914 + 711 | 1.626084 2.135144 0.76 0.446 -2.559872 5.81204 + 798 | 6.789394 3.555061 1.91 0.056 -.180314 13.7591 + 799 | 4.776484 4.307124 1.11 0.268 -3.667645 13.22061 + 800 | 1.738665 2.196054 0.79 0.429 -2.566706 6.044036 + 801 | -1.761409 2.064665 -0.85 0.394 -5.809191 2.286373 + 802 | -.7522722 2.246362 -0.33 0.738 -5.156271 3.651727 + 803 | 1.780875 1.981926 0.90 0.369 -2.104697 5.666447 + 805 | -6.099728 2.14686 -2.84 0.005 -10.30865 -1.890802 + 806 | 1.786271 2.002225 0.89 0.372 -2.139097 5.711639 + 807 | 1.182146 2.134608 0.55 0.580 -3.00276 5.367052 + 898 | -1.193341 2.260998 -0.53 0.598 -5.626035 3.239354 + 899 | -1.2877 4.379419 -0.29 0.769 -9.873564 7.298164 + 1000 | 2.369683 2.438235 0.97 0.331 -2.410483 7.14985 + 1001 | 1.764911 2.172334 0.81 0.417 -2.493956 6.023778 + 1002 | -1.387162 1.989722 -0.70 0.486 -5.288017 2.513694 + 1003 | .1543642 2.074616 0.07 0.941 -3.912926 4.221654 + 1005 | -.8788592 2.292837 -0.38 0.702 -5.373972 3.616254 + 1006 | 2.014181 2.111399 0.95 0.340 -2.125223 6.153586 + 1007 | -.3303681 1.920145 -0.17 0.863 -4.094819 3.434082 + 1010 | 2.071523 2.728072 0.76 0.448 -3.27687 7.419916 + 1098 | -2.69326 2.685996 -1.00 0.316 -7.959162 2.572643 + 1099 | -.3362422 3.416361 -0.10 0.922 -7.034029 6.361545 + 1200 | .3680927 2.461086 0.15 0.881 -4.456874 5.193059 + 1201 | 2.104845 2.156487 0.98 0.329 -2.122954 6.332644 + 1202 | -2.66095 2.885422 -0.92 0.356 -8.317829 2.995928 + 1203 | .0169663 1.976009 0.01 0.993 -3.857006 3.890938 + 1204 | -.3484715 2.081414 -0.17 0.867 -4.429091 3.732147 + 1205 | -.8046612 2.059775 -0.39 0.696 -4.842856 3.233534 + 1206 | .9050607 2.890241 0.31 0.754 -4.761266 6.571387 + 1207 | 4.64939 2.277 2.04 0.041 .1853253 9.113456 + 1208 | 10.72258 2.366936 4.53 0.000 6.082191 15.36296 + 1209 | 3.674328 1.968423 1.87 0.062 -.184771 7.533427 + 1210 | 2.49011 2.086179 1.19 0.233 -1.599851 6.580071 + 1211 | 4.112992 2.398547 1.71 0.086 -.5893667 8.81535 + 1299 | 10.52719 4.998845 2.11 0.035 .726936 20.32744 + 1300 | 6.373435 2.485337 2.56 0.010 1.500923 11.24595 + 1301 | 5.545706 2.723429 2.04 0.042 .2064155 10.885 + 1302 | 2.025356 2.159848 0.94 0.348 -2.209032 6.259745 + 1303 | 3.257414 2.056326 1.58 0.113 -.7740191 7.288847 + 1304 | 3.744428 2.352928 1.59 0.112 -.8684952 8.357351 + 1305 | 3.265768 2.791929 1.17 0.242 -2.207817 8.739354 + 1399 | .2327642 3.469605 0.07 0.947 -6.569406 7.034935 + 1400 | 3.35286 2.641849 1.27 0.204 -1.826492 8.532213 + 1401 | 5.450606 2.555563 2.13 0.033 .440417 10.4608 + 1403 | 3.949344 2.541055 1.55 0.120 -1.032402 8.931091 + 1404 | 15.16545 7.442682 2.04 0.042 .5740464 29.75685 + 1405 | -4.938708 2.046468 -2.41 0.016 -8.950816 -.9266007 + 1406 | 2.161513 2.493927 0.87 0.386 -2.727839 7.050866 + 1407 | 5.139423 2.550299 2.02 0.044 .1395543 10.13929 + 1408 | 2.482286 2.235923 1.11 0.267 -1.901248 6.86582 + 1409 | 4.699154 2.663834 1.76 0.078 -.5233006 9.921608 + 1410 | 4.913484 2.371001 2.07 0.038 .2651299 9.561838 + 1499 | -2.923037 2.301813 -1.27 0.204 -7.435749 1.589675 + 1500 | -1.580391 2.290066 -0.69 0.490 -6.070074 2.909291 + 1501 | 1.409245 1.948074 0.72 0.469 -2.409961 5.22845 + 1502 | .483968 1.994249 0.24 0.808 -3.425763 4.393699 + 1504 | 3.947318 2.040546 1.93 0.053 -.0531786 7.947816 + 1505 | 3.033514 2.32062 1.31 0.191 -1.516069 7.583096 + 1507 | 1.102737 2.799104 0.39 0.694 -4.384915 6.590389 + 1520 | .2436432 2.160808 0.11 0.910 -3.992627 4.479913 + 1521 | 5.462013 2.180593 2.50 0.012 1.186953 9.737073 + 1522 | 2.380316 2.334752 1.02 0.308 -2.196971 6.957604 + 1523 | .6131481 1.919332 0.32 0.749 -3.149709 4.376005 + 1524 | 5.221176 4.195893 1.24 0.213 -3.004886 13.44724 + 1525 | 4.218714 2.202813 1.92 0.056 -.0999074 8.537335 + 1526 | .5432775 2.098707 0.26 0.796 -3.571244 4.6578 + 1599 | 3.983054 2.449151 1.63 0.104 -.8185148 8.784622 + 1600 | -.8743831 2.058643 -0.42 0.671 -4.91036 3.161593 + 1602 | -.8951283 2.738303 -0.33 0.744 -6.263579 4.473322 + 1603 | -1.048792 2.488929 -0.42 0.673 -5.928345 3.830761 + 1604 | -1.220603 2.24305 -0.54 0.586 -5.618109 3.176904 + 1605 | 3.810749 2.401948 1.59 0.113 -.8982769 8.519775 + 1606 | 3.782978 3.131498 1.21 0.227 -2.356333 9.922289 + 1608 | 1.324242 1.937995 0.68 0.494 -2.475204 5.123687 + 1609 | 3.180367 1.939579 1.64 0.101 -.6221838 6.982917 + 1610 | 3.196986 2.554472 1.25 0.211 -1.811064 8.205036 + 1611 | -2.623216 2.064642 -1.27 0.204 -6.670952 1.42452 + 1612 | 1.600056 2.271723 0.70 0.481 -2.853665 6.053776 + 1614 | .1466349 3.022422 0.05 0.961 -5.778833 6.072103 + 1615 | .6919362 2.404226 0.29 0.774 -4.021556 5.405429 + 1616 | -.9024514 2.610604 -0.35 0.730 -6.020548 4.215645 + 1617 | .5231639 3.205948 0.16 0.870 -5.762106 6.808434 + 1619 | .4868782 3.327325 0.15 0.884 -6.036353 7.01011 + 1620 | -1.231194 2.658204 -0.46 0.643 -6.442611 3.980222 + 1698 | -1.854869 2.679646 -0.69 0.489 -7.108323 3.398585 + 1699 | 4.629234 2.527615 1.83 0.067 -.3261624 9.584631 + 1700 | 3.711571 2.517286 1.47 0.140 -1.223577 8.646718 + 1701 | .5227302 2.328853 0.22 0.822 -4.042993 5.088454 + 1704 | .5473085 2.485365 0.22 0.826 -4.325257 5.419874 + 1705 | .4245577 2.515686 0.17 0.866 -4.507452 5.356568 + 1706 | -.3052938 2.258082 -0.14 0.892 -4.732271 4.121683 + 1707 | 2.427552 2.46198 0.99 0.324 -2.399166 7.254271 + 1708 | .8740621 2.440535 0.36 0.720 -3.910615 5.658739 + 1709 | 2.894767 2.142561 1.35 0.177 -1.305729 7.095264 + 1798 | 8.876135 2.979279 2.98 0.003 3.03525 14.71702 + 1799 | 5.563309 3.106979 1.79 0.073 -.5279332 11.65455 + 1800 | .8304107 2.137064 0.39 0.698 -3.359309 5.020131 + 1802 | 1.577094 1.986887 0.79 0.427 -2.318204 5.472391 + 1803 | 3.563232 2.326316 1.53 0.126 -.9975176 8.123982 + 1804 | -.2018906 2.124323 -0.10 0.924 -4.366633 3.962852 + 1806 | 7.802553 2.740456 2.85 0.004 2.42988 13.17523 + 1807 | -2.741966 2.064951 -1.33 0.184 -6.79031 1.306377 + 1808 | -2.539095 3.338432 -0.76 0.447 -9.084101 4.00591 + 1899 | -6.845288 2.706154 -2.53 0.011 -12.15071 -1.539865 + 1900 | 1.347067 2.486891 0.54 0.588 -3.52849 6.222625 + 1901 | 5.707965 2.840071 2.01 0.045 .1399968 11.27593 + 1902 | 5.101724 2.912366 1.75 0.080 -.607979 10.81143 + 1905 | 8.334436 3.617623 2.30 0.021 1.242074 15.4268 + 1906 | -.1095618 2.67967 -0.04 0.967 -5.363063 5.143939 + 1907 | .9372302 3.546053 0.26 0.792 -6.014818 7.889279 + 1908 | -.9042787 2.785666 -0.32 0.745 -6.365585 4.557028 + 1909 | 3.729401 2.281112 1.63 0.102 -.7427262 8.201528 + 1910 | 6.619471 3.658042 1.81 0.070 -.5521318 13.79107 + 1911 | 4.328987 2.872199 1.51 0.132 -1.301969 9.959942 + 1912 | 2.522439 4.043781 0.62 0.533 -5.405406 10.45028 + 1914 | 3.330283 2.872479 1.16 0.246 -2.30122 8.961786 + 1915 | -.0808453 2.657787 -0.03 0.976 -5.291444 5.129753 + 1919 | 3.745478 3.254823 1.15 0.250 -2.635613 10.12657 + 1920 | 3.080941 2.489165 1.24 0.216 -1.799074 7.960957 + 1925 | 6.076666 2.750141 2.21 0.027 .6850052 11.46833 + 1926 | -.6378482 2.222053 -0.29 0.774 -4.99419 3.718494 + 1927 | -.8683556 2.442953 -0.36 0.722 -5.657772 3.92106 + 1929 | 2.354172 2.570194 0.92 0.360 -2.6847 7.393045 + 1999 | 3.34256 4.615493 0.72 0.469 -5.706127 12.39125 + 2000 | -.3958762 2.143945 -0.18 0.854 -4.599087 3.807335 + 2001 | -2.726823 2.297652 -1.19 0.235 -7.231377 1.77773 + 2002 | -1.374344 1.991924 -0.69 0.490 -5.279517 2.530829 + 2003 | 6.488204 2.985819 2.17 0.030 .6344972 12.34191 + 2004 | 1.737055 2.1253 0.82 0.414 -2.429603 5.903713 + 2005 | -3.088355 2.793329 -1.11 0.269 -8.564685 2.387975 + 2006 | 3.069872 2.014168 1.52 0.128 -.8789098 7.018655 + 2007 | -.2285088 2.629019 -0.09 0.931 -5.382709 4.925692 + 2008 | .4779618 1.895613 0.25 0.801 -3.238393 4.194317 + 2009 | .2437685 2.264476 0.11 0.914 -4.195743 4.68328 + 2010 | -9.666716 1.891042 -5.11 0.000 -13.37411 -5.959324 + 2011 | -.1275604 2.020481 -0.06 0.950 -4.08872 3.833599 + 2012 | .3359775 2.008534 0.17 0.867 -3.60176 4.273715 + 2013 | 3.962863 2.988376 1.33 0.185 -1.895857 9.821582 + 2014 | -1.981764 2.215446 -0.89 0.371 -6.325152 2.361624 + 2015 | -2.060332 2.458841 -0.84 0.402 -6.880896 2.760233 + 2030 | -.4777422 2.60282 -0.18 0.854 -5.580578 4.625094 + 2099 | 1.75139 2.361884 0.74 0.458 -2.87909 6.38187 + 2100 | -.7298444 2.206938 -0.33 0.741 -5.056553 3.596864 + 2101 | .779575 1.965246 0.40 0.692 -3.073296 4.632446 + 2102 | -1.668407 1.929535 -0.86 0.387 -5.451265 2.114451 + 2103 | -.6182662 1.967854 -0.31 0.753 -4.47625 3.239717 + 2104 | -1.336615 1.953164 -0.68 0.494 -5.165799 2.49257 + 2105 | -2.943695 2.2206 -1.33 0.185 -7.297188 1.409799 + 2199 | -6.725848 2.559308 -2.63 0.009 -11.74338 -1.708317 + 9999 | .5664343 2.353609 0.24 0.810 -4.047824 5.180692 + | + house_administration | 1.013749 .7281606 1.39 0.164 -.4138123 2.44131 + house_agriculture | .6329882 .5995322 1.06 0.291 -.5423965 1.808373 + house_appropriations | -2.51831 .6831017 -3.69 0.000 -3.857533 -1.179087 + house_armedservices | -.0835663 .5577767 -0.15 0.881 -1.177089 1.009956 + house_budget | .555124 .8562717 0.65 0.517 -1.123599 2.233847 + house_dc | 3.719565 2.251562 1.65 0.099 -.6946286 8.133758 + house_educlabor | 1.920592 .374228 5.13 0.000 1.186917 2.654267 + house_energycommerce | 1.418686 .3383788 4.19 0.000 .7552936 2.082079 + house_foreignaffairs | .1152151 1.400549 0.08 0.934 -2.630565 2.860995 + house_governmentop | -.2031614 .8806363 -0.23 0.818 -1.929651 1.523329 + house_intelligence | 1.446599 1.636754 0.88 0.377 -1.762263 4.65546 + house_interior | -.3430478 .6400709 -0.54 0.592 -1.597909 .9118132 + house_judiciary | .2910447 .4187369 0.70 0.487 -.5298903 1.11198 + house_mmf | -.7919889 .7785761 -1.02 0.309 -2.31839 .7344119 + house_pocs | .8852335 .838354 1.06 0.291 -.758362 2.528829 + house_pwt | -.3218846 .5803203 -0.55 0.579 -1.459604 .8158351 + house_rules | -1.439963 .5344907 -2.69 0.007 -2.487833 -.392092 + house_sst | -.6150612 1.075804 -0.57 0.568 -2.724179 1.494057 + house_smallbusi | .2903382 1.319104 0.22 0.826 -2.295769 2.876445 + house_soc | 10.44309 2.74281 3.81 0.000 5.065808 15.82038 + house_veterans | -.8605645 .5940623 -1.45 0.148 -2.025226 .3040966 + house_waysandmeans | -1.558067 .2688819 -5.79 0.000 -2.085211 -1.030923 +house_naturalresources | -.0962468 .6835304 -0.14 0.888 -1.43631 1.243817 + house_bfs | 1.473909 .5605474 2.63 0.009 .3749543 2.572864 + house_eeo | 1.884664 1.755079 1.07 0.283 -1.556173 5.325501 + house_govreform | 1.182878 .5502056 2.15 0.032 .104198 2.261558 + house_ir | 2.27881 1.06699 2.14 0.033 .186972 4.370647 + house_natsecur | .0314197 1.25096 0.03 0.980 -2.421091 2.48393 + house_oversight | .89382 .8470773 1.06 0.291 -.7668776 2.554518 + house_resources | -.9383351 .5540011 -1.69 0.090 -2.024456 .1477857 + house_science | -.5006169 .6536892 -0.77 0.444 -1.782177 .7809428 + house_transp | .232756 .4478357 0.52 0.603 -.6452274 1.110739 + house_homeland | .8283661 1.068937 0.77 0.438 -1.267289 2.924021 + _cons | 2.017182 1.896903 1.06 0.288 -1.701701 5.736065 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,403 1 0 1 1 + + +j = 4 k = 2 + + +rdbwselect_2014 pct_cosponsors_fem MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6186 +----------------------+---------------------- NN matches = 3 + Number of obs | 2192 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 22.32219 41.09859 .5431375 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(6,677 missing values generated) +(54,574 missing values generated) +(47,897 real changes made) +reg pct_cosponsors_fem sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==100 & tag_bill==1, robust cluster(group_sponsor) +(sum of wgt is 61,739.6223663092) + +Linear regression Number of obs = 29,559 + F(268, 2277) = . + Prob > F = . + R-squared = 0.1670 + Root MSE = 12.59 + + (Std. Err. adjusted for 2,278 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + pct_cosponsors_fem | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 1.936596 .3442536 5.63 0.000 1.261513 2.61168 + | + v2 | + 102 | .0999686 .4983154 0.20 0.841 -.877231 1.077168 + 103 | 3.446604 .7972219 4.32 0.000 1.883247 5.009962 + 104 | 2.635715 .954898 2.76 0.006 .7631536 4.508276 + 105 | 6.769894 .8706433 7.78 0.000 5.062557 8.477231 + 106 | 7.183814 .7498661 9.58 0.000 5.713322 8.654307 + 107 | 9.427029 .7752584 12.16 0.000 7.906743 10.94732 + 108 | 7.902382 .7797894 10.13 0.000 6.37321 9.431554 + 109 | 6.103864 .9377757 6.51 0.000 4.26488 7.942848 + 110 | 7.485953 .5971896 12.54 0.000 6.31486 8.657046 + 111 | 7.174413 .7827881 9.17 0.000 5.639361 8.709466 + | + minor | + 101 | 6.64026 4.049298 1.64 0.101 -1.300439 14.58096 + 103 | -5.707743 3.013081 -1.89 0.058 -11.61641 .2009284 + 104 | -.5839448 2.219898 -0.26 0.793 -4.937179 3.76929 + 105 | 3.332633 2.295302 1.45 0.147 -1.168468 7.833734 + 107 | 3.550191 2.030534 1.75 0.081 -.4316993 7.532082 + 108 | 5.429727 2.748123 1.98 0.048 .0406396 10.81881 + 110 | 4.551585 6.659207 0.68 0.494 -8.507161 17.61033 + 200 | 11.39044 3.827088 2.98 0.003 3.885498 18.89539 + 201 | 5.659949 3.002143 1.89 0.060 -.2272726 11.54717 + 202 | 13.5293 2.952906 4.58 0.000 7.738628 19.31996 + 204 | 4.344951 3.211278 1.35 0.176 -1.952386 10.64229 + 205 | 7.281733 2.928287 2.49 0.013 1.539344 13.02412 + 206 | 6.462701 2.49089 2.59 0.010 1.57805 11.34735 + 207 | 12.475 2.44206 5.11 0.000 7.686102 17.26389 + 208 | 5.589661 2.661039 2.10 0.036 .371347 10.80797 + 209 | -3.74942 6.14965 -0.61 0.542 -15.80892 8.310082 + 299 | 5.674429 4.634195 1.22 0.221 -3.413257 14.76212 + 300 | 6.312071 2.682499 2.35 0.019 1.051673 11.57247 + 301 | 7.173769 2.234409 3.21 0.001 2.792079 11.55546 + 302 | 5.210589 2.200272 2.37 0.018 .8958422 9.525337 + 321 | 7.132468 2.609915 2.73 0.006 2.014408 12.25053 + 322 | .5804121 2.139399 0.27 0.786 -3.614963 4.775787 + 323 | 3.64339 2.658101 1.37 0.171 -1.569163 8.855943 + 324 | 2.059871 2.453495 0.84 0.401 -2.751449 6.871191 + 325 | 6.033751 2.493798 2.42 0.016 1.143398 10.9241 + 331 | 12.26912 2.991687 4.10 0.000 6.402406 18.13584 + 332 | 8.17391 2.31048 3.54 0.000 3.643044 12.70478 + 333 | 11.92947 2.74907 4.34 0.000 6.538526 17.32041 + 334 | 6.487947 2.314559 2.80 0.005 1.949082 11.02681 + 335 | 3.958201 2.29331 1.73 0.084 -.5389941 8.455397 + 336 | 8.194213 2.658121 3.08 0.002 2.981622 13.4068 + 341 | 9.651786 2.643829 3.65 0.000 4.46722 14.83635 + 342 | 4.399812 4.269189 1.03 0.303 -3.972094 12.77172 + 343 | 7.831797 2.822142 2.78 0.006 2.29756 13.36604 + 344 | 5.576632 2.617226 2.13 0.033 .4442357 10.70903 + 398 | 14.79165 4.053671 3.65 0.000 6.842379 22.74093 + 399 | 5.406181 3.578443 1.51 0.131 -1.611169 12.42353 + 400 | 2.545863 2.850627 0.89 0.372 -3.044234 8.135961 + 401 | 10.452 5.621389 1.86 0.063 -.5715785 21.47558 + 402 | 4.751903 2.550609 1.86 0.063 -.2498574 9.753664 + 403 | 10.66061 2.702482 3.94 0.000 5.361024 15.96019 + 404 | .3074432 2.197186 0.14 0.889 -4.001252 4.616139 + 405 | 17.27414 7.989382 2.16 0.031 1.606908 32.94137 + 498 | -2.701393 2.551527 -1.06 0.290 -7.704955 2.302168 + 499 | 9.094839 3.66324 2.48 0.013 1.911203 16.27848 + 500 | 10.43989 7.660728 1.36 0.173 -4.582849 25.46262 + 501 | .471489 2.38881 0.20 0.844 -4.212983 5.155961 + 502 | 3.007918 2.257725 1.33 0.183 -1.419496 7.435331 + 503 | 4.702168 2.038181 2.31 0.021 .7052823 8.699054 + 504 | 2.343675 2.433069 0.96 0.336 -2.427588 7.114938 + 505 | 3.465439 2.380987 1.46 0.146 -1.203692 8.13457 + 506 | 12.31502 2.839394 4.34 0.000 6.746954 17.8831 + 508 | 9.415712 2.204849 4.27 0.000 5.091988 13.73944 + 529 | -2.568078 2.211689 -1.16 0.246 -6.905213 1.769058 + 530 | 5.250076 2.17601 2.41 0.016 .9829069 9.517245 + 599 | 2.44705 5.682891 0.43 0.667 -8.697135 13.59124 + 600 | 3.599074 2.501855 1.44 0.150 -1.30708 8.505229 + 601 | 3.681941 2.036688 1.81 0.071 -.3120177 7.675899 + 602 | 6.222974 2.121625 2.93 0.003 2.062453 10.3835 + 603 | 11.28947 3.699125 3.05 0.002 4.035466 18.54348 + 604 | 7.53248 5.220953 1.44 0.149 -2.705841 17.7708 + 606 | 2.902701 3.356475 0.86 0.387 -3.679367 9.48477 + 607 | 5.188426 2.175641 2.38 0.017 .9219795 9.454873 + 609 | 4.920154 4.605919 1.07 0.286 -4.112081 13.95239 + 698 | 10.06294 3.444065 2.92 0.004 3.309109 16.81678 + 699 | 3.969216 2.629396 1.51 0.131 -1.187046 9.125478 + 700 | 6.216048 3.183562 1.95 0.051 -.0269373 12.45903 + 701 | 6.649045 2.889078 2.30 0.021 .9835444 12.31455 + 703 | 2.997079 2.416989 1.24 0.215 -1.742652 7.736811 + 704 | 2.840463 2.218876 1.28 0.201 -1.510767 7.191693 + 705 | 1.831207 2.292215 0.80 0.424 -2.663841 6.326255 + 707 | 5.555993 2.54047 2.19 0.029 .5741157 10.53787 + 708 | 13.02837 3.257508 4.00 0.000 6.640372 19.41636 + 709 | 3.580762 2.291781 1.56 0.118 -.9134351 8.074959 + 710 | 6.417468 2.127771 3.02 0.003 2.244894 10.59004 + 711 | 5.543097 2.642855 2.10 0.036 .360441 10.72575 + 798 | 7.469618 2.912319 2.56 0.010 1.758542 13.18069 + 799 | 2.481282 5.869232 0.42 0.673 -9.028321 13.99088 + 800 | 4.776149 2.428062 1.97 0.049 .0147036 9.537595 + 801 | -.439147 2.460513 -0.18 0.858 -5.264229 4.385935 + 802 | -.5904365 2.262408 -0.26 0.794 -5.027033 3.84616 + 803 | 3.769818 2.239099 1.68 0.092 -.6210687 8.160704 + 805 | 2.065552 2.710159 0.76 0.446 -3.249087 7.38019 + 806 | 2.350217 2.122263 1.11 0.268 -1.811555 6.511988 + 807 | 3.148139 2.481705 1.27 0.205 -1.7185 8.014779 + 898 | 2.695969 2.313536 1.17 0.244 -1.84089 7.232829 + 899 | 9.014785 6.257045 1.44 0.150 -3.255321 21.28489 + 1000 | 4.771631 3.182046 1.50 0.134 -1.468381 11.01164 + 1001 | 2.823573 2.70413 1.04 0.297 -2.479244 8.12639 + 1002 | .675444 2.220297 0.30 0.761 -3.678572 5.02946 + 1003 | 1.54917 2.132403 0.73 0.468 -2.632486 5.730826 + 1005 | 3.011818 2.694866 1.12 0.264 -2.272832 8.296467 + 1006 | 1.189813 2.358815 0.50 0.614 -3.435839 5.815465 + 1007 | 1.793788 2.074069 0.86 0.387 -2.273474 5.86105 + 1010 | 3.000435 3.034008 0.99 0.323 -2.949274 8.950143 + 1098 | -.2124713 4.002735 -0.05 0.958 -8.061859 7.636917 + 1099 | 11.36334 8.183663 1.39 0.165 -4.684875 27.41156 + 1200 | 1.489499 2.964087 0.50 0.615 -4.323094 7.302093 + 1201 | 2.796456 2.431321 1.15 0.250 -1.97138 7.564293 + 1202 | 1.53961 3.254194 0.47 0.636 -4.841886 7.921106 + 1203 | .8859288 2.223991 0.40 0.690 -3.475332 5.24719 + 1204 | 1.173658 2.377734 0.49 0.622 -3.489094 5.83641 + 1205 | 2.612894 2.252406 1.16 0.246 -1.80409 7.029877 + 1206 | 6.264656 3.141845 1.99 0.046 .103478 12.42583 + 1207 | 4.04788 3.000267 1.35 0.177 -1.835664 9.931423 + 1208 | 12.61205 2.194454 5.75 0.000 8.308711 16.91539 + 1209 | 6.111133 2.108823 2.90 0.004 1.975717 10.24655 + 1210 | 4.322047 2.537099 1.70 0.089 -.6532205 9.297314 + 1211 | 6.496344 2.626136 2.47 0.013 1.346474 11.64621 + 1299 | 13.00538 8.112883 1.60 0.109 -2.904037 28.91479 + 1300 | 11.33707 2.971888 3.81 0.000 5.509178 17.16496 + 1301 | 5.122542 2.658187 1.93 0.054 -.0901798 10.33526 + 1302 | 2.458973 2.373256 1.04 0.300 -2.194996 7.112943 + 1303 | 4.362822 2.21645 1.97 0.049 .0163502 8.709294 + 1304 | 5.786528 2.586228 2.24 0.025 .7149188 10.85814 + 1305 | 2.763044 3.235305 0.85 0.393 -3.58141 9.107497 + 1399 | -.2534782 4.790154 -0.05 0.958 -9.647 9.140044 + 1400 | 3.457922 2.908124 1.19 0.235 -2.244928 9.160773 + 1401 | 7.153496 3.000065 2.38 0.017 1.270349 13.03664 + 1403 | 4.981716 2.456869 2.03 0.043 .1637806 9.799651 + 1404 | 19.82051 11.95891 1.66 0.098 -3.630994 43.27202 + 1405 | -2.167945 2.624006 -0.83 0.409 -7.313638 2.977748 + 1406 | 2.72089 2.341804 1.16 0.245 -1.871402 7.313182 + 1407 | 3.222352 2.874074 1.12 0.262 -2.413725 8.858429 + 1408 | 4.508377 2.326985 1.94 0.053 -.0548557 9.07161 + 1409 | 7.538703 2.46129 3.06 0.002 2.712097 12.36531 + 1410 | 4.87973 2.522171 1.93 0.053 -.0662648 9.825724 + 1499 | -2.156123 2.645357 -0.82 0.415 -7.343684 3.031438 + 1500 | -.85209 2.678028 -0.32 0.750 -6.10372 4.39954 + 1501 | 3.456921 2.005238 1.72 0.085 -.4753638 7.389206 + 1502 | 2.806613 2.194132 1.28 0.201 -1.496094 7.10932 + 1504 | 4.718277 2.149526 2.20 0.028 .5030427 8.933511 + 1505 | 3.09229 2.430865 1.27 0.203 -1.674652 7.859232 + 1507 | -.0791791 3.776786 -0.02 0.983 -7.485481 7.327123 + 1520 | 2.872141 2.339603 1.23 0.220 -1.715835 7.460117 + 1521 | 6.079139 2.189125 2.78 0.006 1.786251 10.37203 + 1522 | 2.848734 2.270043 1.25 0.210 -1.602834 7.300302 + 1523 | 2.173724 2.104339 1.03 0.302 -1.952899 6.300347 + 1524 | 5.517947 5.744694 0.96 0.337 -5.747434 16.78333 + 1525 | 5.77308 2.386993 2.42 0.016 1.092171 10.45399 + 1526 | .0916111 2.343138 0.04 0.969 -4.503297 4.68652 + 1599 | 6.37427 3.025265 2.11 0.035 .4417058 12.30683 + 1600 | 2.445431 1.98344 1.23 0.218 -1.444108 6.33497 + 1602 | 1.842692 2.906475 0.63 0.526 -3.856924 7.542308 + 1603 | 1.878356 3.271086 0.57 0.566 -4.536265 8.292977 + 1604 | -1.115918 2.36872 -0.47 0.638 -5.760992 3.529157 + 1605 | 3.377266 2.637972 1.28 0.201 -1.795814 8.550347 + 1606 | 6.884099 2.79199 2.47 0.014 1.408988 12.35921 + 1608 | 2.741379 2.130827 1.29 0.198 -1.437187 6.919945 + 1609 | 4.51812 2.094531 2.16 0.031 .4107317 8.625509 + 1610 | 2.348609 2.735779 0.86 0.391 -3.016271 7.713489 + 1611 | -2.473082 2.281694 -1.08 0.279 -6.947499 2.001335 + 1612 | 3.726571 2.371186 1.57 0.116 -.9233388 8.376482 + 1614 | 4.857848 3.079871 1.58 0.115 -1.181799 10.89749 + 1615 | 2.907179 2.718341 1.07 0.285 -2.423505 8.237862 + 1616 | 4.663097 3.396604 1.37 0.170 -1.997667 11.32386 + 1617 | -.1789195 3.731014 -0.05 0.962 -7.495462 7.137623 + 1619 | 6.980947 3.005618 2.32 0.020 1.086911 12.87498 + 1620 | -.9809874 3.447559 -0.28 0.776 -7.741673 5.779698 + 1698 | .2298987 3.079021 0.07 0.940 -5.808081 6.267878 + 1699 | 5.735196 2.252905 2.55 0.011 1.317235 10.15316 + 1700 | 5.940047 3.159928 1.88 0.060 -.256592 12.13669 + 1701 | 3.256009 2.793973 1.17 0.244 -2.22299 8.735008 + 1704 | 2.241101 3.148951 0.71 0.477 -3.934013 8.416214 + 1705 | 2.692453 3.765048 0.72 0.475 -4.69083 10.07574 + 1706 | 1.639861 2.458008 0.67 0.505 -3.180308 6.46003 + 1707 | 6.883249 2.928127 2.35 0.019 1.141173 12.62532 + 1708 | 6.37852 2.831646 2.25 0.024 .8256431 11.9314 + 1709 | 6.255467 2.669673 2.34 0.019 1.020221 11.49071 + 1798 | 8.238687 2.717494 3.03 0.002 2.909665 13.56771 + 1799 | 8.896916 3.968692 2.24 0.025 1.114285 16.67955 + 1800 | .9934271 2.401502 0.41 0.679 -3.715933 5.702787 + 1802 | 2.500825 2.186124 1.14 0.253 -1.786177 6.787828 + 1803 | 2.224542 2.33219 0.95 0.340 -2.348898 6.797982 + 1804 | -.9655981 2.42405 -0.40 0.690 -5.719175 3.787979 + 1806 | 12.08385 3.188323 3.79 0.000 5.831528 18.33617 + 1807 | -2.362136 2.03467 -1.16 0.246 -6.352136 1.627864 + 1808 | 5.959493 4.246836 1.40 0.161 -2.368578 14.28757 + 1899 | -8.868776 3.109332 -2.85 0.004 -14.9662 -2.771356 + 1900 | 1.397303 2.729212 0.51 0.609 -3.954698 6.749305 + 1901 | 6.598252 3.211236 2.05 0.040 .3009983 12.89551 + 1902 | 7.644072 3.883488 1.97 0.049 .0285282 15.25962 + 1905 | 11.35538 2.772505 4.10 0.000 5.918477 16.79228 + 1906 | .3852453 2.21097 0.17 0.862 -3.950481 4.720972 + 1907 | 6.95901 5.732346 1.21 0.225 -4.282156 18.20018 + 1908 | -.3463511 3.349773 -0.10 0.918 -6.915277 6.222575 + 1909 | -.5472711 2.63576 -0.21 0.836 -5.716013 4.621471 + 1910 | 2.098656 3.137184 0.67 0.504 -4.053381 8.250694 + 1911 | 4.213236 3.30698 1.27 0.203 -2.271773 10.69824 + 1912 | 1.4061 4.809198 0.29 0.770 -8.024768 10.83697 + 1914 | 2.720029 2.904022 0.94 0.349 -2.974776 8.414835 + 1915 | 3.831467 3.529232 1.09 0.278 -3.089379 10.75231 + 1919 | 3.722363 5.462228 0.68 0.496 -6.9891 14.43383 + 1920 | 5.058924 2.934831 1.72 0.085 -.6962981 10.81415 + 1925 | 9.959634 2.784552 3.58 0.000 4.499111 15.42016 + 1926 | 4.73072 3.112139 1.52 0.129 -1.372205 10.83364 + 1927 | 1.163023 3.105921 0.37 0.708 -4.927708 7.253754 + 1929 | 2.614163 2.986561 0.88 0.381 -3.242502 8.470828 + 1999 | 4.211787 9.283637 0.45 0.650 -13.99348 22.41706 + 2000 | 2.414621 2.475313 0.98 0.329 -2.439484 7.268726 + 2001 | .555296 2.772141 0.20 0.841 -4.88089 5.991482 + 2002 | 1.593501 2.301913 0.69 0.489 -2.920566 6.107568 + 2003 | 5.654578 3.194565 1.77 0.077 -.6099841 11.91914 + 2004 | 4.427012 2.114239 2.09 0.036 .2809764 8.573047 + 2005 | -.2821486 2.382597 -0.12 0.906 -4.954436 4.390138 + 2006 | 2.97026 2.214388 1.34 0.180 -1.372169 7.312689 + 2007 | -.1022751 2.299953 -0.04 0.965 -4.612498 4.407948 + 2008 | .8424017 1.969167 0.43 0.669 -3.019147 4.70395 + 2009 | 4.062869 2.939619 1.38 0.167 -1.701742 9.82748 + 2010 | -10.04369 2.002667 -5.02 0.000 -13.97093 -6.116444 + 2011 | .5064169 2.196393 0.23 0.818 -3.800724 4.813558 + 2012 | 2.815186 2.227605 1.26 0.206 -1.55316 7.183533 + 2013 | 9.448108 3.356136 2.82 0.005 2.866705 16.02951 + 2014 | 1.280393 2.520703 0.51 0.612 -3.662722 6.223508 + 2015 | -1.077907 3.157337 -0.34 0.733 -7.269465 5.11365 + 2030 | .4892841 5.12155 0.10 0.924 -9.554108 10.53268 + 2099 | 3.20041 2.720997 1.18 0.240 -2.135482 8.536303 + 2100 | 1.35454 2.940319 0.46 0.645 -4.411444 7.120524 + 2101 | 2.690941 2.134458 1.26 0.208 -1.494746 6.876627 + 2102 | -.1672794 2.070244 -0.08 0.936 -4.227041 3.892482 + 2103 | 1.900557 2.143849 0.89 0.375 -2.303544 6.104658 + 2104 | -.0087018 2.133912 -0.00 0.997 -4.193317 4.175914 + 2105 | -3.794797 2.479156 -1.53 0.126 -8.656437 1.066843 + 2199 | -10.51068 2.354099 -4.46 0.000 -15.12708 -5.894275 + 9999 | 3.917899 2.650468 1.48 0.139 -1.279685 9.115483 + | + house_administration | 1.369838 .8910224 1.54 0.124 -.377463 3.117138 + house_agriculture | -.0810352 .814612 -0.10 0.921 -1.678495 1.516424 + house_appropriations | -3.925469 1.111611 -3.53 0.000 -6.105345 -1.745593 + house_armedservices | .8491973 .6546867 1.30 0.195 -.4346474 2.133042 + house_budget | 1.274804 1.375943 0.93 0.354 -1.423429 3.973037 + house_dc | 3.647474 3.495235 1.04 0.297 -3.206704 10.50165 + house_educlabor | 1.664401 .5028298 3.31 0.001 .6783482 2.650453 + house_energycommerce | .9476747 .4551382 2.08 0.037 .0551457 1.840204 + house_foreignaffairs | 3.720273 1.031105 3.61 0.000 1.698269 5.742277 + house_governmentop | -.5338744 1.040452 -0.51 0.608 -2.574208 1.506459 + house_intelligence | -.7152096 2.435995 -0.29 0.769 -5.492211 4.061792 + house_interior | .8334071 .9615502 0.87 0.386 -1.052199 2.719013 + house_judiciary | .3874677 .5769641 0.67 0.502 -.7439626 1.518898 + house_mmf | -1.294562 1.116756 -1.16 0.246 -3.484528 .8954045 + house_pocs | .1434149 .924149 0.16 0.877 -1.668847 1.955677 + house_pwt | .2146596 .8561069 0.25 0.802 -1.464171 1.893491 + house_rules | -1.377162 .7865571 -1.75 0.080 -2.919606 .1652816 + house_sst | -1.202951 1.37053 -0.88 0.380 -3.890569 1.484667 + house_smallbusi | -.9634709 1.2743 -0.76 0.450 -3.462382 1.53544 + house_soc | 11.72945 2.931043 4.00 0.000 5.981654 17.47724 + house_veterans | -1.949793 .761036 -2.56 0.010 -3.442189 -.4573963 + house_waysandmeans | -1.637551 .3221668 -5.08 0.000 -2.269322 -1.00578 +house_naturalresources | -.6579173 .9350726 -0.70 0.482 -2.491601 1.175766 + house_bfs | 1.966416 .600218 3.28 0.001 .7893842 3.143447 + house_eeo | 4.00024 2.434869 1.64 0.101 -.7745537 8.775034 + house_govreform | 1.741526 .6649994 2.62 0.009 .4374578 3.045594 + house_ir | 3.337457 1.303798 2.56 0.011 .7807012 5.894213 + house_natsecur | .4184897 1.709221 0.24 0.807 -2.933303 3.770283 + house_oversight | 1.821673 1.100888 1.65 0.098 -.3371755 3.980522 + house_resources | .5292022 .8326891 0.64 0.525 -1.103706 2.162111 + house_science | -1.334532 .9045931 -1.48 0.140 -3.108445 .4393804 + house_transp | -.1177702 .6173039 -0.19 0.849 -1.328307 1.092767 + house_homeland | 1.716009 1.745664 0.98 0.326 -1.707249 5.139268 + _cons | .2336691 1.977033 0.12 0.906 -3.643305 4.110643 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,278 1 0 1 1 + + +j = 4 k = 3 + + +rdbwselect_2014 pct_cosponsors_fem MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 11.83574 19.60256 .6037853 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(6,677 missing values generated) +(54,574 missing values generated) +(47,897 real changes made) +reg pct_cosponsors_fem sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==200 & tag_bill==1, robust cluster(group_sponsor) +(sum of wgt is 52,070.9238821268) + +Linear regression Number of obs = 26,088 + F(267, 2120) = . + Prob > F = . + R-squared = 0.1189 + Root MSE = 10.313 + + (Std. Err. adjusted for 2,121 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + pct_cosponsors_fem | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 1.37581 .3803874 3.62 0.000 .629838 2.121781 + | + v2 | + 102 | .0725661 .9421867 0.08 0.939 -1.775141 1.920273 + 103 | 1.29962 .9109275 1.43 0.154 -.4867848 3.086025 + 104 | .5727958 .6069674 0.94 0.345 -.617518 1.76311 + 105 | 1.707541 .8122786 2.10 0.036 .1145947 3.300487 + 106 | 2.272059 .647155 3.51 0.000 1.002934 3.541184 + 107 | 2.048915 .9110447 2.25 0.025 .2622798 3.835549 + 108 | 1.813354 .6532469 2.78 0.006 .5322818 3.094425 + 109 | 2.087687 .715774 2.92 0.004 .6839941 3.49138 + 110 | 1.864653 .9671872 1.93 0.054 -.0320815 3.761388 + 111 | 1.958348 .7759373 2.52 0.012 .4366704 3.480026 + | + minor | + 101 | 9.19636 5.553215 1.66 0.098 -1.693958 20.08668 + 103 | .7547901 6.213988 0.12 0.903 -11.43136 12.94094 + 104 | -4.059141 2.369271 -1.71 0.087 -8.705479 .5871976 + 105 | -1.960906 2.498248 -0.78 0.433 -6.860179 2.938368 + 107 | 1.280245 2.202781 0.58 0.561 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2.601854 -0.28 0.782 -5.823539 4.381367 + 324 | -.7244917 3.116572 -0.23 0.816 -6.83635 5.387366 + 325 | .9180601 2.78264 0.33 0.741 -4.53893 6.37505 + 331 | 10.28051 3.141878 3.27 0.001 4.119028 16.442 + 332 | 9.876956 4.141092 2.39 0.017 1.755928 17.99798 + 333 | 14.8079 4.04793 3.66 0.000 6.869572 22.74623 + 334 | 2.506289 2.531069 0.99 0.322 -2.457349 7.469928 + 335 | -.4566268 2.833988 -0.16 0.872 -6.014315 5.101062 + 336 | 7.165751 3.158461 2.27 0.023 .9717448 13.35976 + 341 | 4.525035 3.262146 1.39 0.166 -1.872306 10.92238 + 342 | 5.371114 4.297631 1.25 0.212 -3.0569 13.79913 + 343 | -.9161857 2.658317 -0.34 0.730 -6.129369 4.296997 + 344 | 4.438054 3.336578 1.33 0.184 -2.105254 10.98136 + 398 | 3.749795 2.632125 1.42 0.154 -1.412021 8.911611 + 399 | 11.07858 7.884896 1.41 0.160 -4.384362 26.54152 + 400 | -4.261181 2.387598 -1.78 0.074 -8.943461 .4210994 + 401 | 1.120994 2.988756 0.38 0.708 -4.740207 6.982195 + 402 | -4.059804 2.418337 -1.68 0.093 -8.802365 .6827569 + 403 | 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3.246403 0.61 0.542 -4.386297 8.346639 + 1929 | -.5784709 2.812936 -0.21 0.837 -6.094874 4.937933 + 1999 | -.7944337 4.430652 -0.18 0.858 -9.483312 7.894444 + 2000 | -3.619047 2.34879 -1.54 0.124 -8.22522 .987126 + 2001 | -4.402926 2.57551 -1.71 0.087 -9.453717 .6478654 + 2002 | -3.19683 2.206468 -1.45 0.148 -7.523898 1.130239 + 2003 | 5.663125 4.421944 1.28 0.200 -3.008677 14.33493 + 2004 | -2.387608 3.030504 -0.79 0.431 -8.330681 3.555464 + 2005 | -6.545451 2.981253 -2.20 0.028 -12.39194 -.6989645 + 2006 | 2.942854 2.360829 1.25 0.213 -1.68693 7.572638 + 2007 | .2696628 4.236493 0.06 0.949 -8.038453 8.577779 + 2008 | -.4413379 2.271939 -0.19 0.846 -4.8968 4.014124 + 2009 | -2.588582 2.565117 -1.01 0.313 -7.618991 2.441828 + 2011 | -1.772648 2.385304 -0.74 0.457 -6.450427 2.905132 + 2012 | -2.303983 2.366874 -0.97 0.330 -6.94562 2.337655 + 2013 | -3.514466 2.889302 -1.22 0.224 -9.180629 2.151697 + 2014 | -3.308712 2.383171 -1.39 0.165 -7.98231 1.364886 + 2015 | -3.818829 2.515543 -1.52 0.129 -8.75202 1.114361 + 2030 | -1.343247 3.395015 -0.40 0.692 -8.001155 5.314661 + 2099 | -.5582341 2.835959 -0.20 0.844 -6.119788 5.003319 + 2100 | -2.528653 2.769067 -0.91 0.361 -7.959024 2.901719 + 2101 | -1.901214 2.241138 -0.85 0.396 -6.296273 2.493846 + 2102 | -3.939482 2.218991 -1.78 0.076 -8.29111 .4121449 + 2103 | -2.703497 2.383781 -1.13 0.257 -7.378291 1.971298 + 2104 | -3.565275 2.255605 -1.58 0.114 -7.988705 .858155 + 2105 | -2.299323 2.546068 -0.90 0.367 -7.292375 2.693728 + 2199 | -4.166494 2.629725 -1.58 0.113 -9.323605 .9906175 + 9999 | -3.523357 2.515102 -1.40 0.161 -8.455682 1.408969 + | + house_administration | -.5662811 .9244728 -0.61 0.540 -2.37925 1.246687 + house_agriculture | .6657329 .7450769 0.89 0.372 -.7954253 2.126891 + house_appropriations | -.7700061 .9605725 -0.80 0.423 -2.653769 1.113757 + house_armedservices | -1.812884 .7325047 -2.47 0.013 -3.249387 -.376381 + house_budget | .3722951 .8079094 0.46 0.645 -1.212083 1.956673 + house_dc | 1.490953 1.341129 1.11 0.266 -1.139113 4.12102 + house_educlabor | .4594637 .6115143 0.75 0.453 -.7397669 1.658694 + house_energycommerce | .8626787 .553392 1.56 0.119 -.2225692 1.947927 + house_foreignaffairs | -1.356559 1.032098 -1.31 0.189 -3.380589 .6674715 + house_governmentop | .0486885 .9488239 0.05 0.959 -1.812034 1.909412 + house_intelligence | 1.557234 1.470219 1.06 0.290 -1.325988 4.440456 + house_interior | -1.408251 .7816907 -1.80 0.072 -2.941211 .1247103 + house_judiciary | .3531059 .5227693 0.68 0.499 -.6720884 1.3783 + house_mmf | .6295882 .8888947 0.71 0.479 -1.113608 2.372785 + house_pocs | .6675361 1.58096 0.42 0.673 -2.43286 3.767932 + house_pwt | -.8919912 .7151358 -1.25 0.212 -2.294432 .5104499 + house_rules | -.2506009 .6862054 -0.37 0.715 -1.596307 1.095105 + house_sst | .6215157 1.988282 0.31 0.755 -3.277671 4.520702 + house_smallbusi | 1.924103 2.575657 0.75 0.455 -3.126977 6.975183 + house_soc | 4.507964 1.994848 2.26 0.024 .5959005 8.420027 + house_veterans | -.6874791 .7147618 -0.96 0.336 -2.089187 .7142286 + house_waysandmeans | -1.00519 .3858889 -2.60 0.009 -1.761951 -.24843 +house_naturalresources | .8096975 .944257 0.86 0.391 -1.042069 2.661464 + house_bfs | 1.054187 .7892574 1.34 0.182 -.4936129 2.601987 + house_eeo | .0277652 1.660974 0.02 0.987 -3.229543 3.285074 + house_govreform | .6569698 .5660768 1.16 0.246 -.4531541 1.767094 + house_ir | 1.087085 1.428817 0.76 0.447 -1.714945 3.889115 + house_natsecur | .5691735 1.549042 0.37 0.713 -2.468627 3.606974 + house_oversight | .2700608 .8938595 0.30 0.763 -1.482872 2.022994 + house_resources | -1.275927 .6259549 -2.04 0.042 -2.503477 -.0483774 + house_science | .6537875 .9337662 0.70 0.484 -1.177406 2.484981 + house_transp | .1169861 .6594912 0.18 0.859 -1.176331 1.410303 + house_homeland | .4024127 1.1887 0.34 0.735 -1.928728 2.733553 + _cons | 5.26333 2.230263 2.36 0.018 .8895976 9.637062 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,121 1 0 1 1 + + +j = 5 k = 1 + + +rdbwselect_2014 pct_cosponsors_fem MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11989 +----------------------+---------------------- NN matches = 3 + Number of obs | 6150 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 17.75164 29.65608 .5985837 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(7,341 missing values generated) +(54,749 missing values generated) +(47,408 real changes made) +reg pct_cosponsors_fem sponsor_female i.v2 i.minor house_* [aw=wt] if tag_bill==1, robust cluster(group_sponsor) +(sum of wgt is 111,692.369840145) + +Linear regression Number of obs = 55,006 + F(268, 4357) = . + Prob > F = . + R-squared = 0.1591 + Root MSE = 11.918 + + (Std. Err. adjusted for 4,358 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + pct_cosponsors_fem | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 2.422651 .3055006 7.93 0.000 1.823714 3.021588 + | + v2 | + 102 | -.6950845 .8239005 -0.84 0.399 -2.310349 .9201795 + 103 | 2.132536 1.104609 1.93 0.054 -.0330588 4.298131 + 104 | 2.148919 .7186529 2.99 0.003 .7399943 3.557845 + 105 | 3.419803 .5988749 5.71 0.000 2.245704 4.593903 + 106 | 3.889096 .5146083 7.56 0.000 2.880202 4.89799 + 107 | 5.355642 .5660534 9.46 0.000 4.24589 6.465395 + 108 | 4.899568 .6130798 7.99 0.000 3.69762 6.101516 + 109 | 3.681476 .6800946 5.41 0.000 2.348145 5.014808 + 110 | 5.514807 .5544017 9.95 0.000 4.427898 6.601716 + 111 | 5.727013 .7009994 8.17 0.000 4.352697 7.101328 + | + minor | + 101 | 5.992405 4.153064 1.44 0.149 -2.149714 14.13452 + 103 | -4.58552 2.5428 -1.80 0.071 -9.570701 .3996612 + 104 | -1.58013 1.671873 -0.95 0.345 -4.857851 1.697591 + 105 | 1.543383 1.429278 1.08 0.280 -1.258728 4.345494 + 107 | 2.709866 1.502378 1.80 0.071 -.2355593 5.655291 + 108 | 3.25689 1.819093 1.79 0.073 -.3094584 6.823238 + 110 | -1.26354 3.8529 -0.33 0.743 -8.817184 6.290105 + 200 | 6.641702 1.899384 3.50 0.000 2.917943 10.36546 + 201 | 4.842873 2.384119 2.03 0.042 .1687877 9.516958 + 202 | 10.63335 2.108421 5.04 0.000 6.499777 14.76693 + 204 | -6.303464 2.997466 -2.10 0.036 -12.18002 -.4269074 + 205 | 3.152743 2.941749 1.07 0.284 -2.614582 8.920068 + 206 | 2.898736 1.863679 1.56 0.120 -.7550224 6.552495 + 207 | 6.387198 3.534491 1.81 0.071 -.5422018 13.3166 + 208 | 3.438388 1.778447 1.93 0.053 -.0482738 6.925049 + 209 | -6.85008 7.067819 -0.97 0.333 -20.7066 7.00644 + 299 | 3.873038 3.165412 1.22 0.221 -2.33278 10.07886 + 300 | 1.762488 2.302597 0.77 0.444 -2.751773 6.276748 + 301 | 7.122494 2.916973 2.44 0.015 1.403743 12.84125 + 302 | 3.936741 1.564688 2.52 0.012 .8691574 7.004325 + 321 | 8.456114 2.45169 3.45 0.001 3.649555 13.26267 + 322 | .260426 1.505879 0.17 0.863 -2.691863 3.212715 + 323 | 3.638042 3.081989 1.18 0.238 -2.404225 9.680308 + 324 | .7738642 1.578924 0.49 0.624 -2.321631 3.869359 + 325 | 5.298972 2.240833 2.36 0.018 .9057998 9.692145 + 331 | 12.63353 2.482072 5.09 0.000 7.767412 17.49966 + 332 | 7.19879 2.343198 3.07 0.002 2.604931 11.79265 + 333 | 13.07022 2.304577 5.67 0.000 8.552075 17.58836 + 334 | 5.45459 2.240614 2.43 0.015 1.061848 9.847333 + 335 | 5.432256 2.708613 2.01 0.045 .121996 10.74252 + 336 | 10.52873 2.427133 4.34 0.000 5.770315 15.28715 + 341 | 8.663268 1.911354 4.53 0.000 4.916043 12.41049 + 342 | 4.869848 2.984083 1.63 0.103 -.9804711 10.72017 + 343 | 3.979191 2.009046 1.98 0.048 .0404402 7.917943 + 344 | 4.232499 2.322235 1.82 0.068 -.3202618 8.78526 + 398 | 6.72654 2.978668 2.26 0.024 .8868363 12.56624 + 399 | 22.70604 12.39681 1.83 0.067 -1.598021 47.0101 + 400 | .6531464 2.243432 0.29 0.771 -3.745122 5.051415 + 401 | 1.201334 2.595034 0.46 0.643 -3.886253 6.28892 + 402 | .8251346 1.635845 0.50 0.614 -2.381954 4.032223 + 403 | 8.866319 2.255215 3.93 0.000 4.444951 13.28769 + 404 | -.057951 1.563411 -0.04 0.970 -3.123032 3.00713 + 405 | 8.493869 5.000799 1.70 0.089 -1.31024 18.29798 + 498 | -2.927733 2.291493 -1.28 0.201 -7.420225 1.564759 + 499 | 6.359693 2.980036 2.13 0.033 .5173065 12.20208 + 500 | -.3093392 3.028992 -0.10 0.919 -6.247705 5.629027 + 501 | -1.885906 1.69595 -1.11 0.266 -5.21083 1.439018 + 502 | 2.481106 2.840175 0.87 0.382 -3.087081 8.049293 + 503 | 2.347947 1.60542 1.46 0.144 -.7994933 5.495388 + 504 | -.2532172 1.666317 -0.15 0.879 -3.520045 3.013611 + 505 | -.129594 1.751217 -0.07 0.941 -3.56287 3.303682 + 506 | 6.351663 2.364229 2.69 0.007 1.716571 10.98675 + 508 | 9.409168 2.793366 3.37 0.001 3.932749 14.88559 + 529 | -2.154091 2.151568 -1.00 0.317 -6.372258 2.064076 + 530 | 1.770678 1.677338 1.06 0.291 -1.517758 5.059113 + 599 | -.9448455 3.252677 -0.29 0.771 -7.321746 5.432055 + 600 | 3.619073 2.588695 1.40 0.162 -1.456086 8.694232 + 601 | 2.556344 1.579267 1.62 0.106 -.539823 5.652511 + 602 | 7.0942 1.78132 3.98 0.000 3.601906 10.58649 + 603 | 10.64745 3.679357 2.89 0.004 3.434033 17.86086 + 604 | .7468596 2.829306 0.26 0.792 -4.800019 6.293738 + 606 | 3.148442 2.981631 1.06 0.291 -2.697071 8.993954 + 607 | 5.804993 2.158135 2.69 0.007 1.57395 10.03604 + 609 | 9.137534 7.873759 1.16 0.246 -6.299039 24.57411 + 698 | 5.886838 3.44947 1.71 0.088 -.8758781 12.64955 + 699 | 1.898552 2.312059 0.82 0.412 -2.63426 6.431365 + 700 | 2.239605 2.179985 1.03 0.304 -2.034274 6.513484 + 701 | 4.18665 1.966635 2.13 0.033 .331046 8.042255 + 703 | .9234278 1.614355 0.57 0.567 -2.241529 4.088384 + 704 | -1.118958 1.852218 -0.60 0.546 -4.750247 2.512332 + 705 | .0097848 1.856518 0.01 0.996 -3.629936 3.649505 + 707 | -1.412155 2.529512 -0.56 0.577 -6.371286 3.546975 + 708 | 13.39102 2.901363 4.62 0.000 7.702871 19.07917 + 709 | .9865093 1.717668 0.57 0.566 -2.380993 4.354012 + 710 | 2.051836 1.542713 1.33 0.184 -.972666 5.076338 + 711 | 2.227783 1.611059 1.38 0.167 -.9307128 5.386278 + 798 | 6.225082 2.284382 2.73 0.006 1.746532 10.70363 + 799 | 3.761839 3.327574 1.13 0.258 -2.761898 10.28558 + 800 | 2.22427 1.708203 1.30 0.193 -1.124677 5.573218 + 801 | -1.498799 1.607919 -0.93 0.351 -4.651137 1.653539 + 802 | -.2594449 1.85614 -0.14 0.889 -3.898424 3.379534 + 803 | 1.718697 1.578233 1.09 0.276 -1.375443 4.812836 + 805 | -5.984551 1.968181 -3.04 0.002 -9.843186 -2.125917 + 806 | 1.677295 1.665734 1.01 0.314 -1.58839 4.942979 + 807 | -.3016813 1.903998 -0.16 0.874 -4.034487 3.431124 + 898 | .8027374 1.91141 0.42 0.675 -2.944599 4.550073 + 899 | -.5605671 4.106334 -0.14 0.891 -8.611071 7.489937 + 1000 | 1.011831 2.125134 0.48 0.634 -3.154513 5.178174 + 1001 | 1.497479 1.93715 0.77 0.440 -2.300321 5.295279 + 1002 | -2.211853 1.661771 -1.33 0.183 -5.469769 1.046063 + 1003 | -.2895061 1.648019 -0.18 0.861 -3.520461 2.941449 + 1005 | -4.24995 2.150574 -1.98 0.048 -8.466168 -.0337318 + 1006 | 1.19959 1.402339 0.86 0.392 -1.549709 3.948888 + 1007 | -.4289108 1.583088 -0.27 0.786 -3.532569 2.674748 + 1010 | 4.049131 3.399758 1.19 0.234 -2.616124 10.71439 + 1098 | -2.599537 2.902223 -0.90 0.370 -8.28937 3.090296 + 1099 | -1.863848 4.179618 -0.45 0.656 -10.05802 6.330328 + 1200 | 1.210598 2.018203 0.60 0.549 -2.746107 5.167303 + 1201 | 2.530654 1.587386 1.59 0.111 -.5814289 5.642738 + 1202 | -3.10477 2.312933 -1.34 0.180 -7.639295 1.429754 + 1203 | 1.424895 1.466209 0.97 0.331 -1.44962 4.299409 + 1204 | -.5442234 1.709164 -0.32 0.750 -3.895054 2.806607 + 1205 | -.2028022 1.598077 -0.13 0.899 -3.335846 2.930242 + 1206 | 2.970413 2.317917 1.28 0.200 -1.573884 7.51471 + 1207 | 4.057427 2.457607 1.65 0.099 -.7607336 8.875587 + 1208 | 10.02102 2.208153 4.54 0.000 5.691919 14.35012 + 1209 | 4.996906 1.599904 3.12 0.002 1.86028 8.133533 + 1210 | 3.049477 1.549767 1.97 0.049 .0111449 6.08781 + 1211 | 4.546355 1.828827 2.49 0.013 .9609228 8.131787 + 1299 | 6.642885 4.043994 1.64 0.101 -1.2854 14.57117 + 1300 | 5.588633 1.871107 2.99 0.003 1.920312 9.256954 + 1301 | 5.081335 2.109963 2.41 0.016 .9447336 9.217935 + 1302 | 1.714489 1.758427 0.98 0.330 -1.732922 5.1619 + 1303 | 4.277504 1.503393 2.85 0.004 1.330089 7.224919 + 1304 | 5.499979 2.403411 2.29 0.022 .7880705 10.21189 + 1305 | 4.836897 2.121897 2.28 0.023 .6768989 8.996894 + 1399 | 2.42021 3.217502 0.75 0.452 -3.887731 8.728151 + 1400 | 2.094984 2.122384 0.99 0.324 -2.065968 6.255937 + 1401 | 6.232725 2.397322 2.60 0.009 1.532754 10.9327 + 1403 | 3.695915 2.089222 1.77 0.077 -.4000223 7.791852 + 1404 | 8.359948 5.325821 1.57 0.117 -2.08137 18.80127 + 1405 | -4.201164 1.855687 -2.26 0.024 -7.839254 -.5630746 + 1406 | .4978222 2.635421 0.19 0.850 -4.668943 5.664587 + 1407 | 3.176547 2.248364 1.41 0.158 -1.23139 7.584483 + 1408 | 2.632158 2.013099 1.31 0.191 -1.314539 6.578856 + 1409 | 3.389791 2.285499 1.48 0.138 -1.090949 7.870532 + 1410 | 3.878272 1.843645 2.10 0.035 .2637895 7.492755 + 1499 | -2.416145 2.050956 -1.18 0.239 -6.437062 1.604773 + 1500 | -1.429378 2.257166 -0.63 0.527 -5.854571 2.995815 + 1501 | 1.410357 1.546614 0.91 0.362 -1.621793 4.442507 + 1502 | 1.045651 1.694064 0.62 0.537 -2.275576 4.366878 + 1504 | 4.970561 1.760628 2.82 0.005 1.518835 8.422288 + 1505 | 3.708769 1.881535 1.97 0.049 .0200045 7.397534 + 1507 | -2.927307 1.810841 -1.62 0.106 -6.477477 .6228629 + 1520 | 1.147846 1.828295 0.63 0.530 -2.436542 4.732234 + 1521 | 5.000889 2.006666 2.49 0.013 1.066804 8.934975 + 1522 | 2.724026 1.864465 1.46 0.144 -.9312727 6.379326 + 1523 | 1.578075 1.619671 0.97 0.330 -1.597303 4.753454 + 1524 | 4.810638 4.434157 1.08 0.278 -3.882564 13.50384 + 1525 | 3.340786 1.925844 1.73 0.083 -.4348486 7.11642 + 1526 | .5692641 1.668289 0.34 0.733 -2.701432 3.83996 + 1599 | 4.339943 1.745707 2.49 0.013 .9174697 7.762415 + 1600 | -1.894433 2.377764 -0.80 0.426 -6.556059 2.767194 + 1602 | 2.100757 2.288544 0.92 0.359 -2.385953 6.587468 + 1603 | -.1121545 2.474411 -0.05 0.964 -4.963258 4.738949 + 1604 | .3744018 2.157179 0.17 0.862 -3.854767 4.603571 + 1605 | 3.419682 2.071302 1.65 0.099 -.6411242 7.480488 + 1606 | 5.946433 2.422551 2.45 0.014 1.197001 10.69587 + 1608 | .8806496 2.104839 0.42 0.676 -3.245905 5.007205 + 1609 | 4.518469 1.828655 2.47 0.014 .9333762 8.103562 + 1610 | -.4102104 2.42494 -0.17 0.866 -5.164327 4.343906 + 1611 | -3.361457 1.529629 -2.20 0.028 -6.360308 -.3626059 + 1612 | 1.373217 1.85006 0.74 0.458 -2.253841 5.000275 + 1614 | 2.812726 2.684336 1.05 0.295 -2.449937 8.07539 + 1615 | -3.973817 3.406783 -1.17 0.243 -10.65284 2.70521 + 1616 | -3.288924 2.479678 -1.33 0.185 -8.150354 1.572505 + 1617 | -2.896849 1.949948 -1.49 0.137 -6.719739 .9260408 + 1619 | .3394655 2.799813 0.12 0.904 -5.149593 5.828524 + 1620 | -1.788096 2.23356 -0.80 0.423 -6.167009 2.590817 + 1698 | -1.542998 2.530033 -0.61 0.542 -6.503149 3.417153 + 1699 | 4.111789 1.694771 2.43 0.015 .7891761 7.434401 + 1700 | 3.630301 2.144845 1.69 0.091 -.5746856 7.835288 + 1701 | .4342508 1.644301 0.26 0.792 -2.789415 3.657916 + 1704 | 1.260603 2.428972 0.52 0.604 -3.501417 6.022623 + 1705 | 1.297328 2.675844 0.48 0.628 -3.948688 6.543344 + 1706 | .3680958 1.659277 0.22 0.824 -2.884931 3.621123 + 1707 | 1.52184 1.740876 0.87 0.382 -1.891161 4.934842 + 1708 | 1.682685 1.913063 0.88 0.379 -2.067892 5.433262 + 1709 | 2.950379 1.784923 1.65 0.098 -.5489781 6.449737 + 1798 | 7.647845 1.967304 3.89 0.000 3.790929 11.50476 + 1799 | 5.246984 3.328379 1.58 0.115 -1.278333 11.7723 + 1800 | 1.824293 1.718207 1.06 0.288 -1.544266 5.192852 + 1802 | 1.618085 1.562442 1.04 0.300 -1.445096 4.681265 + 1803 | 5.451467 2.086471 2.61 0.009 1.360922 9.542012 + 1804 | 1.226019 1.560385 0.79 0.432 -1.833128 4.285167 + 1806 | 4.873534 2.377584 2.05 0.040 .21226 9.534808 + 1807 | -2.486516 1.415019 -1.76 0.079 -5.260673 .2876406 + 1808 | .012843 3.138533 0.00 0.997 -6.140278 6.165964 + 1899 | -6.825498 2.454143 -2.78 0.005 -11.63687 -2.014129 + 1900 | 4.085485 2.202218 1.86 0.064 -.2319818 8.402951 + 1901 | 4.580478 2.796479 1.64 0.102 -.9020435 10.063 + 1902 | 12.61076 5.477829 2.30 0.021 1.871432 23.35009 + 1905 | 7.068367 3.588058 1.97 0.049 .0339488 14.10279 + 1906 | 2.365108 2.876401 0.82 0.411 -3.274102 8.004317 + 1907 | 2.136699 3.872546 0.55 0.581 -5.455461 9.72886 + 1908 | 1.336178 2.017537 0.66 0.508 -2.61922 5.291575 + 1909 | 5.253628 1.586272 3.31 0.001 2.143728 8.363528 + 1910 | 5.464721 2.931906 1.86 0.062 -.2833069 11.21275 + 1911 | 4.943171 2.54702 1.94 0.052 -.0502848 9.936626 + 1912 | 3.223418 2.776443 1.16 0.246 -2.219822 8.666658 + 1914 | 5.963873 2.209173 2.70 0.007 1.632771 10.29498 + 1915 | .7953756 2.136302 0.37 0.710 -3.392864 4.983615 + 1919 | 3.172942 1.880049 1.69 0.092 -.5129107 6.858795 + 1920 | 3.609863 2.313656 1.56 0.119 -.9260809 8.145806 + 1925 | 6.38733 3.67803 1.74 0.083 -.8234788 13.59814 + 1926 | -1.199923 1.573671 -0.76 0.446 -4.285119 1.885272 + 1927 | -1.725693 1.852041 -0.93 0.352 -5.356635 1.90525 + 1929 | 1.79634 1.649828 1.09 0.276 -1.438162 5.030843 + 1999 | 3.662748 4.812108 0.76 0.447 -5.771431 13.09693 + 2000 | 5.243282 3.765709 1.39 0.164 -2.139423 12.62599 + 2001 | -3.42529 2.048317 -1.67 0.095 -7.441034 .5904541 + 2002 | -1.273322 1.515384 -0.84 0.401 -4.244246 1.697602 + 2003 | 6.418806 2.705427 2.37 0.018 1.114794 11.72282 + 2004 | 1.296405 1.643199 0.79 0.430 -1.925101 4.517911 + 2005 | -2.192096 2.506803 -0.87 0.382 -7.106704 2.722512 + 2006 | 4.069556 1.734909 2.35 0.019 .6682517 7.470861 + 2007 | -1.753002 2.399485 -0.73 0.465 -6.457212 2.951209 + 2008 | .2339909 1.494926 0.16 0.876 -2.696824 3.164806 + 2009 | 1.525861 1.873873 0.81 0.416 -2.147883 5.199605 + 2010 | -10.01474 1.415679 -7.07 0.000 -12.79019 -7.239285 + 2011 | -1.146676 1.602358 -0.72 0.474 -4.288113 1.994762 + 2012 | -.6417606 1.790841 -0.36 0.720 -4.152721 2.869199 + 2013 | 7.676273 4.976629 1.54 0.123 -2.080452 17.433 + 2014 | -1.739746 1.652177 -1.05 0.292 -4.978853 1.49936 + 2015 | -2.363739 2.165372 -1.09 0.275 -6.60897 1.881493 + 2030 | -.0059041 2.066364 -0.00 0.998 -4.057028 4.04522 + 2099 | 1.62764 2.01757 0.81 0.420 -2.327823 5.583104 + 2100 | -.8665464 2.111231 -0.41 0.681 -5.005634 3.272541 + 2101 | .3892438 1.446798 0.27 0.788 -2.447216 3.225704 + 2102 | -1.93639 1.468061 -1.32 0.187 -4.814537 .941757 + 2103 | -.6977622 1.633485 -0.43 0.669 -3.900223 2.504698 + 2104 | -.9401441 1.500954 -0.63 0.531 -3.882777 2.002489 + 2105 | -3.039678 1.886206 -1.61 0.107 -6.737601 .6582442 + 2199 | -8.024094 2.463384 -3.26 0.001 -12.85358 -3.194609 + 9999 | .1074312 1.794945 0.06 0.952 -3.411575 3.626437 + | + house_administration | 2.586348 .9202234 2.81 0.005 .7822423 4.390454 + house_agriculture | .7554436 .5792775 1.30 0.192 -.3802349 1.891122 + house_appropriations | -3.879078 .9617566 -4.03 0.000 -5.76461 -1.993546 + house_armedservices | .1971659 .9082435 0.22 0.828 -1.583453 1.977785 + house_budget | .7915406 .8019449 0.99 0.324 -.7806792 2.36376 + house_dc | 3.469624 2.107155 1.65 0.100 -.6614721 7.600719 + house_educlabor | 2.23256 .4583053 4.87 0.000 1.334049 3.131072 + house_energycommerce | 1.315502 .4100577 3.21 0.001 .5115808 2.119424 + house_foreignaffairs | -1.93795 1.727648 -1.12 0.262 -5.325019 1.449118 + house_governmentop | 1.483032 1.656233 0.90 0.371 -1.764026 4.730091 + house_intelligence | 1.025881 1.62692 0.63 0.528 -2.16371 4.215471 + house_interior | .4797952 .756152 0.63 0.526 -1.002647 1.962238 + house_judiciary | .1463488 .4108768 0.36 0.722 -.6591787 .9518762 + house_mmf | -1.397 1.014582 -1.38 0.169 -3.386097 .5920974 + house_pocs | .6566158 1.141681 0.58 0.565 -1.581659 2.894891 + house_pwt | -.0229649 .683351 -0.03 0.973 -1.36268 1.316751 + house_rules | -2.127555 .7003078 -3.04 0.002 -3.500515 -.754596 + house_sst | -.3391839 .9496951 -0.36 0.721 -2.201069 1.522701 + house_smallbusi | -.6827751 1.29285 -0.53 0.597 -3.21742 1.851869 + house_soc | 8.835894 2.675948 3.30 0.001 3.589675 14.08211 + house_veterans | .7714343 .9651525 0.80 0.424 -1.120755 2.663624 + house_waysandmeans | -1.614379 .3265161 -4.94 0.000 -2.254517 -.9742417 +house_naturalresources | -.0247874 .6768869 -0.04 0.971 -1.35183 1.302255 + house_bfs | 1.074698 .5640106 1.91 0.057 -.0310494 2.180446 + house_eeo | 2.081103 1.631505 1.28 0.202 -1.117477 5.279682 + house_govreform | 1.798343 .5420994 3.32 0.001 .7355522 2.861133 + house_ir | .9116009 .9960003 0.92 0.360 -1.041066 2.864268 + house_natsecur | -.446491 1.399888 -0.32 0.750 -3.190984 2.298002 + house_oversight | .7151681 .9769525 0.73 0.464 -1.200156 2.630492 + house_resources | -.5651142 .6350686 -0.89 0.374 -1.810172 .6799433 + house_science | -.4136488 .6971141 -0.59 0.553 -1.780347 .9530493 + house_transp | 1.526279 1.055407 1.45 0.148 -.5428555 3.595414 + house_homeland | 8.303789 6.167114 1.35 0.178 -3.786891 20.39447 + _cons | 1.930929 1.525979 1.27 0.206 -1.060766 4.922624 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,358 1 0 1 1 + + +j = 5 k = 2 + + +rdbwselect_2014 pct_cosponsors_fem MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6186 +----------------------+---------------------- NN matches = 3 + Number of obs | 2192 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 22.32219 41.09859 .5431375 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(7,341 missing values generated) +(54,749 missing values generated) +(47,408 real changes made) +reg pct_cosponsors_fem sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==100 & tag_bill==1, robust cluster(group_sponsor) +(sum of wgt is 59,027.2135760784) + +Linear regression Number of obs = 29,363 + F(268, 2264) = . + Prob > F = . + R-squared = 0.1894 + Root MSE = 12.584 + + (Std. Err. adjusted for 2,265 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + pct_cosponsors_fem | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 2.449418 .395944 6.19 0.000 1.672967 3.22587 + | + v2 | + 102 | -.7616401 .6589899 -1.16 0.248 -2.053927 .5306471 + 103 | 4.259902 1.029171 4.14 0.000 2.241685 6.278118 + 104 | 2.903938 .935985 3.10 0.002 1.06846 4.739416 + 105 | 6.368364 .8085971 7.88 0.000 4.782695 7.954033 + 106 | 6.528365 .7557371 8.64 0.000 5.046355 8.010375 + 107 | 9.042352 .7885182 11.47 0.000 7.496058 10.58865 + 108 | 7.844178 .787018 9.97 0.000 6.300826 9.38753 + 109 | 5.907933 .909466 6.50 0.000 4.124459 7.691407 + 110 | 7.69404 .7211793 10.67 0.000 6.279799 9.108282 + 111 | 7.321695 .7664215 9.55 0.000 5.818733 8.824657 + | + minor | + 101 | 4.944684 4.187154 1.18 0.238 -3.266378 13.15574 + 103 | -6.877317 3.324852 -2.07 0.039 -13.39739 -.3572415 + 104 | -2.310197 2.372616 -0.97 0.330 -6.962927 2.342533 + 105 | 1.970971 2.228177 0.88 0.376 -2.398512 6.340453 + 107 | 2.317666 2.02157 1.15 0.252 -1.646658 6.281991 + 108 | 3.58662 2.565509 1.40 0.162 -1.444374 8.617615 + 110 | 3.812875 6.415097 0.59 0.552 -8.767209 16.39296 + 200 | 9.55714 3.064634 3.12 0.002 3.547355 15.56693 + 201 | 4.265518 2.878417 1.48 0.139 -1.379093 9.910129 + 202 | 11.95791 2.695766 4.44 0.000 6.671482 17.24434 + 204 | 1.744864 3.176259 0.55 0.583 -4.483818 7.973547 + 205 | 4.647904 2.451347 1.90 0.058 -.1592188 9.455026 + 206 | 3.388906 2.501843 1.35 0.176 -1.517239 8.295051 + 207 | 13.32887 2.963399 4.50 0.000 7.517613 19.14014 + 208 | 4.008357 2.567196 1.56 0.119 -1.025945 9.04266 + 209 | -9.851832 9.747741 -1.01 0.312 -28.96727 9.263608 + 299 | 4.282123 4.797766 0.89 0.372 -5.126355 13.6906 + 300 | 1.369192 3.324151 0.41 0.680 -5.149508 7.887893 + 301 | 6.903485 2.629366 2.63 0.009 1.747266 12.05971 + 302 | 2.637374 2.198205 1.20 0.230 -1.673333 6.948081 + 321 | 8.986898 2.983815 3.01 0.003 3.1356 14.8382 + 322 | -1.855169 2.114334 -0.88 0.380 -6.001404 2.291065 + 323 | 4.193151 3.802314 1.10 0.270 -3.263233 11.64953 + 324 | 1.704311 2.295999 0.74 0.458 -2.798172 6.206794 + 325 | 5.830748 2.403914 2.43 0.015 1.116643 10.54485 + 331 | 9.460548 2.513322 3.76 0.000 4.531892 14.3892 + 332 | 7.088445 2.547334 2.78 0.005 2.093091 12.0838 + 333 | 10.76966 2.79991 3.85 0.000 5.278998 16.26031 + 334 | 6.99514 2.656772 2.63 0.009 1.785177 12.2051 + 335 | 4.52562 2.986875 1.52 0.130 -1.33168 10.38292 + 336 | 8.560484 3.09712 2.76 0.006 2.486993 14.63398 + 341 | 7.932628 2.538751 3.12 0.002 2.954106 12.91115 + 342 | 2.263771 3.899423 0.58 0.562 -5.383046 9.910588 + 343 | 5.994006 2.787643 2.15 0.032 .5274045 11.46061 + 344 | 3.750548 2.739957 1.37 0.171 -1.622542 9.123637 + 398 | 11.80052 3.480898 3.39 0.001 4.974439 18.62661 + 399 | 3.731492 3.245994 1.15 0.250 -2.633943 10.09693 + 400 | .8114047 2.857642 0.28 0.776 -4.792467 6.415276 + 401 | .2997215 4.228951 0.07 0.944 -7.993303 8.592746 + 402 | 1.642019 2.227063 0.74 0.461 -2.725279 6.009318 + 403 | 8.983519 2.727258 3.29 0.001 3.635331 14.33171 + 404 | -1.188044 2.167891 -0.55 0.584 -5.439305 3.063217 + 405 | 13.73158 6.47811 2.12 0.034 1.02793 26.43524 + 498 | -4.048534 3.069365 -1.32 0.187 -10.0676 1.970529 + 499 | 9.372108 3.780706 2.48 0.013 1.958097 16.78612 + 500 | .8644778 6.793832 0.13 0.899 -12.45831 14.18727 + 501 | -1.273682 2.24865 -0.57 0.571 -5.683313 3.135948 + 502 | .7679001 2.628389 0.29 0.770 -4.386404 5.922204 + 503 | 3.355968 2.061174 1.63 0.104 -.6860201 7.397955 + 504 | -.2411857 2.398928 -0.10 0.920 -4.945512 4.463141 + 505 | 1.366965 2.326247 0.59 0.557 -3.194834 5.928764 + 506 | 10.05786 2.58339 3.89 0.000 4.991797 15.12392 + 508 | 6.708198 2.540229 2.64 0.008 1.726777 11.68962 + 529 | -3.193147 2.725724 -1.17 0.242 -8.538325 2.152031 + 530 | 3.212757 2.100549 1.53 0.126 -.9064459 7.33196 + 599 | -1.326352 5.564506 -0.24 0.812 -12.23842 9.585713 + 600 | 1.802537 2.595248 0.69 0.487 -3.286776 6.891849 + 601 | 2.041764 2.108043 0.97 0.333 -2.092134 6.175662 + 602 | 6.16378 2.260726 2.73 0.006 1.730469 10.59709 + 603 | 10.12281 3.427505 2.95 0.003 3.401428 16.84419 + 604 | 3.797925 3.758015 1.01 0.312 -3.571589 11.16744 + 606 | 3.024654 3.849487 0.79 0.432 -4.524238 10.57354 + 607 | 3.23637 2.21299 1.46 0.144 -1.103331 7.576071 + 609 | 13.38662 10.01276 1.34 0.181 -6.248515 33.02176 + 698 | 7.126444 3.507939 2.03 0.042 .2473324 14.00556 + 699 | 1.563928 2.806357 0.56 0.577 -3.939372 7.067227 + 700 | 4.188762 3.349075 1.25 0.211 -2.378816 10.75634 + 701 | 4.429001 2.981781 1.49 0.138 -1.418308 10.27631 + 703 | .6286367 2.26569 0.28 0.781 -3.81441 5.071683 + 704 | .0088875 2.393074 0.00 0.997 -4.683961 4.701736 + 705 | .6026211 2.723503 0.22 0.825 -4.738202 5.943444 + 707 | 2.332398 2.890552 0.81 0.420 -3.336011 8.000807 + 708 | 16.23574 3.91189 4.15 0.000 8.564471 23.907 + 709 | 1.390184 2.284107 0.61 0.543 -3.088978 5.869345 + 710 | 2.71623 2.262876 1.20 0.230 -1.721298 7.153757 + 711 | 2.574653 2.4743 1.04 0.298 -2.277479 7.426785 + 798 | 5.689057 2.833163 2.01 0.045 .1331882 11.24492 + 799 | -.8608077 4.104666 -0.21 0.834 -8.910108 7.188493 + 800 | 3.120746 2.450207 1.27 0.203 -1.68414 7.925631 + 801 | -2.17241 2.345467 -0.93 0.354 -6.771899 2.427079 + 802 | -2.338495 2.272092 -1.03 0.303 -6.794096 2.117106 + 803 | 1.597237 2.301974 0.69 0.488 -2.916964 6.111437 + 805 | .0637148 2.739348 0.02 0.981 -5.30818 5.43561 + 806 | 1.152595 2.289554 0.50 0.615 -3.337248 5.642439 + 807 | -.2943057 2.579601 -0.11 0.909 -5.352935 4.764323 + 898 | 1.011958 2.202107 0.46 0.646 -3.3064 5.330316 + 899 | 6.357615 6.296636 1.01 0.313 -5.990166 18.7054 + 1000 | 1.690954 3.133243 0.54 0.589 -4.453374 7.835281 + 1001 | -.1364696 2.933649 -0.05 0.963 -5.889391 5.616452 + 1002 | -2.42977 2.484347 -0.98 0.328 -7.301606 2.442067 + 1003 | -1.165846 2.460943 -0.47 0.636 -5.991786 3.660094 + 1005 | -5.115367 3.051929 -1.68 0.094 -11.10024 .8695047 + 1006 | -.2640255 2.233738 -0.12 0.906 -4.644413 4.116362 + 1007 | -.5256312 2.266071 -0.23 0.817 -4.969424 3.918162 + 1010 | 2.459666 3.819229 0.64 0.520 -5.029889 9.949221 + 1098 | -2.464357 4.74419 -0.52 0.603 -11.76777 6.839058 + 1099 | 9.287981 8.654198 1.07 0.283 -7.683008 26.25897 + 1200 | .5727944 2.759761 0.21 0.836 -4.839131 5.98472 + 1201 | 2.066228 2.195879 0.94 0.347 -2.239918 6.372374 + 1202 | -2.233886 3.283626 -0.68 0.496 -8.673117 4.205344 + 1203 | 1.155296 2.328536 0.50 0.620 -3.410992 5.721584 + 1204 | .2995454 2.27172 0.13 0.895 -4.155325 4.754416 + 1205 | 1.453174 2.283274 0.64 0.525 -3.024354 5.930701 + 1206 | 5.027954 3.053824 1.65 0.100 -.9606337 11.01654 + 1207 | 2.476812 2.704614 0.92 0.360 -2.82697 7.780595 + 1208 | 8.369737 2.452894 3.41 0.001 3.559581 13.17989 + 1209 | 5.722291 2.177732 2.63 0.009 1.451733 9.99285 + 1210 | 3.80708 2.322793 1.64 0.101 -.7479464 8.362107 + 1211 | 4.71645 2.612594 1.81 0.071 -.4068795 9.83978 + 1299 | 8.935519 7.399753 1.21 0.227 -5.575488 23.44653 + 1300 | 8.539014 2.632277 3.24 0.001 3.377086 13.70094 + 1301 | 4.423839 2.54353 1.74 0.082 -.5640545 9.411733 + 1302 | .9340112 2.261242 0.41 0.680 -3.500312 5.368334 + 1303 | 3.352429 2.233306 1.50 0.133 -1.027113 7.73197 + 1304 | 4.990842 3.251917 1.53 0.125 -1.386206 11.36789 + 1305 | 2.132526 3.257512 0.65 0.513 -4.255496 8.520547 + 1399 | 1.933764 4.274383 0.45 0.651 -6.448355 10.31588 + 1400 | .6068307 2.441389 0.25 0.804 -4.180763 5.394424 + 1401 | 5.958485 3.038721 1.96 0.050 -.0004852 11.91746 + 1403 | 1.963603 2.347359 0.84 0.403 -2.639597 6.566802 + 1404 | 5.951173 8.008692 0.74 0.458 -9.753971 21.65632 + 1405 | -3.528445 2.899426 -1.22 0.224 -9.214256 2.157366 + 1406 | -1.36561 3.23392 -0.42 0.673 -7.707367 4.976146 + 1407 | 1.624904 2.502581 0.65 0.516 -3.282689 6.532497 + 1408 | 2.846968 2.195179 1.30 0.195 -1.457806 7.151742 + 1409 | 5.418708 2.623854 2.07 0.039 .2732975 10.56412 + 1410 | 1.545844 2.451298 0.63 0.528 -3.261181 6.352868 + 1499 | -3.201272 2.667963 -1.20 0.230 -8.43318 2.030636 + 1500 | -1.445598 2.656726 -0.54 0.586 -6.65547 3.764274 + 1501 | 1.186101 2.10214 0.56 0.573 -2.93622 5.308423 + 1502 | 1.843684 2.190645 0.84 0.400 -2.452198 6.139566 + 1504 | 3.717178 2.178572 1.71 0.088 -.5550288 7.989384 + 1505 | 2.143649 2.405789 0.89 0.373 -2.574133 6.86143 + 1507 | -5.339494 2.587092 -2.06 0.039 -10.41281 -.2661746 + 1520 | 2.089575 2.494184 0.84 0.402 -2.801551 6.9807 + 1521 | 4.541813 2.255306 2.01 0.044 .1191312 8.964495 + 1522 | 1.717848 2.22849 0.77 0.441 -2.652249 6.087945 + 1523 | .8280142 2.56546 0.32 0.747 -4.202885 5.858913 + 1524 | 2.766054 7.172867 0.39 0.700 -11.30003 16.83214 + 1525 | 3.833532 2.54532 1.51 0.132 -1.157871 8.824936 + 1526 | -1.660602 2.319069 -0.72 0.474 -6.208326 2.887121 + 1599 | 5.297781 2.457149 2.16 0.031 .479281 10.11628 + 1600 | .4312401 2.186651 0.20 0.844 -3.85681 4.71929 + 1602 | 1.708113 2.850601 0.60 0.549 -3.88195 7.298176 + 1603 | .1560306 3.470756 0.04 0.964 -6.650165 6.962227 + 1604 | -1.419567 2.769718 -0.51 0.608 -6.851017 4.011884 + 1605 | 2.087637 2.575484 0.81 0.418 -2.962919 7.138193 + 1606 | 5.162112 2.951902 1.75 0.080 -.6266042 10.95083 + 1608 | 1.639549 2.321484 0.71 0.480 -2.912909 6.192007 + 1609 | 4.978904 2.427629 2.05 0.040 .2182939 9.739513 + 1610 | -1.924101 2.912036 -0.66 0.509 -7.634639 3.786437 + 1611 | -3.692491 2.132055 -1.73 0.083 -7.873477 .4884957 + 1612 | 1.590771 2.809454 0.57 0.571 -3.918603 7.100145 + 1614 | 3.944492 3.075019 1.28 0.200 -2.085658 9.974642 + 1615 | -3.806092 3.897563 -0.98 0.329 -11.44926 3.837077 + 1616 | 2.169933 2.491755 0.87 0.384 -2.71643 7.056296 + 1617 | -6.127763 3.396068 -1.80 0.071 -12.78749 .5319689 + 1619 | 5.017208 2.749566 1.82 0.068 -.3747243 10.40914 + 1620 | -3.431522 3.159273 -1.09 0.278 -9.626895 2.763851 + 1698 | -2.427989 3.265548 -0.74 0.457 -8.831769 3.975792 + 1699 | 3.818607 2.273077 1.68 0.093 -.6389255 8.276139 + 1700 | 4.674131 3.893767 1.20 0.230 -2.961595 12.30986 + 1701 | 1.058521 2.320003 0.46 0.648 -3.491034 5.608076 + 1704 | 1.173152 3.229314 0.36 0.716 -5.159573 7.505877 + 1705 | .8564478 3.895038 0.22 0.826 -6.781771 8.494666 + 1706 | 1.293497 2.371411 0.55 0.585 -3.356868 5.943863 + 1707 | 3.946948 2.860473 1.38 0.168 -1.662474 9.55637 + 1708 | 3.949892 2.77815 1.42 0.155 -1.498094 9.397879 + 1709 | 3.792456 2.732355 1.39 0.165 -1.565726 9.150637 + 1798 | 7.007184 2.805993 2.50 0.013 1.504597 12.50977 + 1799 | 6.803787 4.430594 1.54 0.125 -1.884662 15.49224 + 1800 | .1042399 2.558894 0.04 0.968 -4.913783 5.122263 + 1802 | .7396716 2.231139 0.33 0.740 -3.635619 5.114962 + 1803 | .9899927 2.369662 0.42 0.676 -3.656944 5.636929 + 1804 | -1.692968 2.391743 -0.71 0.479 -6.383205 2.997269 + 1806 | 7.98136 3.499636 2.28 0.023 1.118529 14.84419 + 1807 | -3.806433 2.025187 -1.88 0.060 -7.77785 .1649834 + 1808 | 4.580139 3.925654 1.17 0.243 -3.118117 12.27839 + 1899 | -10.30173 2.87499 -3.58 0.000 -15.93962 -4.663836 + 1900 | 2.349927 2.964696 0.79 0.428 -3.463878 8.163732 + 1901 | 3.483236 2.932765 1.19 0.235 -2.267952 9.234424 + 1902 | 13.83503 6.63544 2.09 0.037 .8228515 26.84721 + 1905 | 10.42127 2.617871 3.98 0.000 5.287588 15.55494 + 1906 | .2240543 2.35813 0.10 0.924 -4.400268 4.848376 + 1907 | 8.204208 6.646468 1.23 0.217 -4.829598 21.23801 + 1908 | -.8751699 2.89047 -0.30 0.762 -6.543417 4.793078 + 1909 | -1.162745 2.602893 -0.45 0.655 -6.26705 3.94156 + 1910 | 1.574933 3.215892 0.49 0.624 -4.731471 7.881337 + 1911 | 3.397325 3.560447 0.95 0.340 -3.584757 10.37941 + 1912 | -.5853833 4.058885 -0.14 0.885 -8.544907 7.374141 + 1914 | 1.19798 3.044369 0.39 0.694 -4.772065 7.168024 + 1915 | 2.223068 3.717966 0.60 0.550 -5.067909 9.514045 + 1919 | .1340427 4.22657 0.03 0.975 -8.154314 8.422399 + 1920 | 4.560344 2.843711 1.60 0.109 -1.016208 10.1369 + 1925 | 10.62408 2.794138 3.80 0.000 5.14474 16.10342 + 1926 | 2.878163 2.781547 1.03 0.301 -2.576485 8.332811 + 1927 | -1.667031 3.147472 -0.53 0.596 -7.839262 4.505201 + 1929 | -.3771911 3.001838 -0.13 0.900 -6.263833 5.509451 + 1999 | -.2559623 9.184494 -0.03 0.978 -18.26687 17.75494 + 2000 | 8.072534 4.796076 1.68 0.092 -1.33263 17.4777 + 2001 | .0948249 2.526228 0.04 0.970 -4.85914 5.048789 + 2002 | -1.056514 2.256599 -0.47 0.640 -5.481733 3.368705 + 2003 | 6.76621 4.632105 1.46 0.144 -2.317405 15.84983 + 2004 | 2.045499 2.14231 0.95 0.340 -2.155597 6.246595 + 2005 | -2.364264 2.544814 -0.93 0.353 -7.354677 2.626148 + 2006 | 1.871238 2.175057 0.86 0.390 -2.394076 6.136551 + 2007 | -3.638128 3.044146 -1.20 0.232 -9.607737 2.331481 + 2008 | -1.54304 2.010786 -0.77 0.443 -5.486215 2.400135 + 2009 | 3.075723 2.808286 1.10 0.274 -2.43136 8.582807 + 2010 | -11.67908 2.077303 -5.62 0.000 -15.75269 -7.60546 + 2011 | -2.427386 2.196948 -1.10 0.269 -6.735628 1.880856 + 2012 | .4084339 2.318989 0.18 0.860 -4.139133 4.956001 + 2013 | 12.40747 5.153744 2.41 0.016 2.300912 22.51402 + 2014 | -1.494683 2.463593 -0.61 0.544 -6.32582 3.336454 + 2015 | -3.722552 3.484402 -1.07 0.285 -10.55551 3.110404 + 2030 | -.1656268 4.050417 -0.04 0.967 -8.108545 7.777291 + 2099 | 1.600129 2.73603 0.58 0.559 -3.76526 6.965518 + 2100 | -.0837929 3.518081 -0.02 0.981 -6.982793 6.815207 + 2101 | .092085 2.082092 0.04 0.965 -3.990923 4.175094 + 2102 | -2.447663 2.041519 -1.20 0.231 -6.451107 1.555781 + 2103 | -1.264173 2.343556 -0.54 0.590 -5.859916 3.33157 + 2104 | -1.753838 2.228847 -0.79 0.431 -6.124634 2.616958 + 2105 | -5.278719 2.440178 -2.16 0.031 -10.06394 -.4935002 + 2199 | -14.03425 2.453844 -5.72 0.000 -18.84627 -9.222237 + 9999 | .0473908 2.421075 0.02 0.984 -4.700368 4.795149 + | + house_administration | 3.254912 1.052368 3.09 0.002 1.191206 5.318618 + house_agriculture | .1439236 .8338135 0.17 0.863 -1.491195 1.779042 + house_appropriations | -5.45165 1.204703 -4.53 0.000 -7.814088 -3.089212 + house_armedservices | .4058261 .8888701 0.46 0.648 -1.337259 2.148911 + house_budget | .9994051 1.450645 0.69 0.491 -1.845328 3.844138 + house_dc | 3.850551 3.215014 1.20 0.231 -2.454131 10.15523 + house_educlabor | 1.974156 .5570119 3.54 0.000 .8818492 3.066464 + house_energycommerce | 1.165003 .5089611 2.29 0.022 .166924 2.163082 + house_foreignaffairs | 3.434032 1.105332 3.11 0.002 1.266462 5.601602 + house_governmentop | 1.255971 1.570268 0.80 0.424 -1.823345 4.335287 + house_intelligence | .1820424 2.561944 0.07 0.943 -4.841961 5.206046 + house_interior | 2.028392 .7198561 2.82 0.005 .6167456 3.440039 + house_judiciary | -.0582315 .4793427 -0.12 0.903 -.9982284 .8817654 + house_mmf | -1.083441 1.227633 -0.88 0.378 -3.490844 1.323963 + house_pocs | .4781103 .7943905 0.60 0.547 -1.079699 2.03592 + house_pwt | 1.27947 .8775517 1.46 0.145 -.4414198 3.000359 + house_rules | -2.551327 .9081138 -2.81 0.005 -4.332149 -.7705045 + house_sst | -1.42977 1.161872 -1.23 0.219 -3.708215 .8486745 + house_smallbusi | -1.428645 1.139771 -1.25 0.210 -3.66375 .8064594 + house_soc | 10.35118 2.986239 3.47 0.001 4.495133 16.20724 + house_veterans | .0411527 1.151457 0.04 0.971 -2.216868 2.299173 + house_waysandmeans | -1.893828 .3692771 -5.13 0.000 -2.617985 -1.169671 +house_naturalresources | .2638947 .8538441 0.31 0.757 -1.410504 1.938294 + house_bfs | 1.773182 .5741108 3.09 0.002 .6473438 2.89902 + house_eeo | 3.562888 1.767505 2.02 0.044 .0967889 7.028987 + house_govreform | 1.837251 .7526923 2.44 0.015 .3612121 3.31329 + house_ir | 2.102621 1.138232 1.85 0.065 -.1294671 4.334708 + house_natsecur | -.3123621 1.621916 -0.19 0.847 -3.492959 2.868235 + house_oversight | 1.30113 1.30399 1.00 0.318 -1.25601 3.85827 + house_resources | 1.084683 .994783 1.09 0.276 -.8660992 3.035464 + house_science | -1.112465 .923364 -1.20 0.228 -2.923193 .6982635 + house_transp | 1.751861 1.290251 1.36 0.175 -.7783376 4.28206 + house_homeland | 9.94317 7.058117 1.41 0.159 -3.897884 23.78423 + _cons | 1.59385 1.936789 0.82 0.411 -2.204218 5.391918 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,265 1 0 1 1 + + +j = 5 k = 3 + + +rdbwselect_2014 pct_cosponsors_fem MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 11.83574 19.60256 .6037853 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(13,828 missing values generated) +(55,922 missing values generated) +(42,094 real changes made) +reg pct_cosponsors_fem sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==200 & tag_bill==1, robust cluster(group_sponsor) +(sum of wgt is 35,889.8751336336) + +Linear regression Number of obs = 23,817 + F(267, 1952) = . + Prob > F = . + R-squared = 0.1234 + Root MSE = 10.225 + + (Std. Err. adjusted for 1,953 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + pct_cosponsors_fem | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 1.50943 .407215 3.71 0.000 .7108085 2.308052 + | + v2 | + 102 | -.679207 .5256424 -1.29 0.196 -1.710086 .3516724 + 103 | .7788931 .4566541 1.71 0.088 -.1166877 1.674474 + 104 | 1.284996 .5200016 2.47 0.014 .2651788 2.304812 + 105 | 1.091433 .5082168 2.15 0.032 .0947285 2.088138 + 106 | 2.591264 .4987826 5.20 0.000 1.613061 3.569466 + 107 | 2.936433 .541779 5.42 0.000 1.873907 3.998959 + 108 | 2.768038 .5187985 5.34 0.000 1.750581 3.785495 + 109 | 2.960902 .7631282 3.88 0.000 1.464271 4.457534 + 110 | 2.360678 .5455009 4.33 0.000 1.290852 3.430503 + 111 | 2.770369 .5933899 4.67 0.000 1.606625 3.934114 + | + minor | + 101 | 5.247879 5.307535 0.99 0.323 -5.161153 15.65691 + 103 | 4.525116 7.384069 0.61 0.540 -9.956373 19.00661 + 104 | -1.997905 2.116313 -0.94 0.345 -6.148375 2.152565 + 105 | -.1313435 1.943898 -0.07 0.946 -3.943678 3.680991 + 107 | 1.457008 1.797382 0.81 0.418 -2.067981 4.981998 + 108 | -.9256836 2.339716 -0.40 0.692 -5.514287 3.66292 + 110 | -3.140017 3.631711 -0.86 0.387 -10.26246 3.982422 + 200 | 1.44741 2.347585 0.62 0.538 -3.156627 6.051446 + 201 | -1.603358 3.178825 -0.50 0.614 -7.837605 4.63089 + 202 | 9.162 4.475407 2.05 0.041 .3849214 17.93908 + 204 | .6004869 3.461682 0.17 0.862 -6.188494 7.389468 + 205 | -3.276306 4.178257 -0.78 0.433 -11.47062 4.918008 + 206 | .2083932 2.24781 0.09 0.926 -4.199967 4.616753 + 207 | -2.349376 2.018905 -1.16 0.245 -6.308812 1.610061 + 208 | 1.23509 2.049273 0.60 0.547 -2.783903 5.254083 + 209 | -6.461136 1.852786 -3.49 0.000 -10.09478 -2.827489 + 299 | 5.739656 3.94593 1.45 0.146 -1.999024 13.47834 + 300 | 1.407432 2.39475 0.59 0.557 -3.289104 6.103967 + 301 | 2.04656 2.032782 1.01 0.314 -1.94009 6.033211 + 302 | 4.279247 2.046762 2.09 0.037 .2651783 8.293317 + 321 | .6655034 2.442784 0.27 0.785 -4.125235 5.456242 + 322 | 1.716168 2.117974 0.81 0.418 -2.437559 5.869896 + 323 | .0792439 2.030361 0.04 0.969 -3.90266 4.061148 + 324 | -.8527776 1.995785 -0.43 0.669 -4.766872 3.061317 + 325 | 2.808139 2.522162 1.11 0.266 -2.138275 7.754553 + 331 | 10.16649 3.483115 2.92 0.004 3.335476 16.99751 + 332 | 4.213997 2.433948 1.73 0.084 -.5594128 8.987407 + 333 | 15.87445 3.883105 4.09 0.000 8.258982 23.48992 + 334 | 5.523458 2.655593 2.08 0.038 .3153627 10.73155 + 335 | 6.903481 4.741512 1.46 0.146 -2.395479 16.20244 + 336 | 7.75372 2.831723 2.74 0.006 2.200201 13.30724 + 341 | 6.594957 2.850783 2.31 0.021 1.004059 12.18586 + 342 | 9.273473 4.272169 2.17 0.030 .8949798 17.65197 + 343 | -.6425359 2.291262 -0.28 0.779 -5.136114 3.851042 + 344 | 4.994578 2.788687 1.79 0.073 -.4745405 10.4637 + 398 | 5.456576 2.172471 2.51 0.012 1.195969 9.717184 + 399 | 10.56922 6.941009 1.52 0.128 -3.043351 24.18178 + 400 | -3.78733 1.885102 -2.01 0.045 -7.484354 -.0903068 + 401 | 4.390159 3.433982 1.28 0.201 -2.344498 11.12482 + 402 | -1.612206 1.912713 -0.84 0.399 -5.36338 2.138969 + 403 | 1.434086 2.441371 0.59 0.557 -3.353882 6.222055 + 404 | -1.556047 2.11968 -0.73 0.463 -5.713121 2.601027 + 405 | -2.68998 2.507757 -1.07 0.284 -7.608143 2.228182 + 498 | -3.303872 2.445968 -1.35 0.177 -8.100856 1.493112 + 499 | .997578 2.733332 0.36 0.715 -4.362978 6.358134 + 500 | .6907086 2.765461 0.25 0.803 -4.732859 6.114276 + 501 | -2.53574 2.259342 -1.12 0.262 -6.966716 1.895235 + 502 | 5.006055 2.653032 1.89 0.059 -.197019 10.20913 + 503 | .1577124 1.816456 0.09 0.931 -3.404685 3.72011 + 504 | -.6168766 2.039374 -0.30 0.762 -4.616455 3.382702 + 505 | -1.320618 2.2609 -0.58 0.559 -5.75465 3.113414 + 506 | -2.188951 2.486153 -0.88 0.379 -7.064745 2.686843 + 508 | 10.76638 3.065639 3.51 0.000 4.754111 16.77865 + 529 | -1.854785 2.20195 -0.84 0.400 -6.173206 2.463636 + 530 | .4970629 1.84398 0.27 0.788 -3.119315 4.113441 + 599 | -1.966028 2.233682 -0.88 0.379 -6.346682 2.414625 + 600 | -.8452596 1.957176 -0.43 0.666 -4.683634 2.993115 + 601 | .4059628 1.955426 0.21 0.836 -3.42898 4.240906 + 602 | .5849968 1.964084 0.30 0.766 -3.266925 4.436919 + 603 | .9892219 2.349973 0.42 0.674 -3.619497 5.597941 + 604 | -1.315618 3.126436 -0.42 0.674 -7.447122 4.815886 + 606 | 1.867719 2.828706 0.66 0.509 -3.679882 7.415321 + 607 | 1.999471 2.255195 0.89 0.375 -2.423373 6.422314 + 609 | -.8002026 2.642832 -0.30 0.762 -5.983272 4.382866 + 698 | -3.657416 3.729679 -0.98 0.327 -10.97199 3.657156 + 699 | -1.701094 2.670016 -0.64 0.524 -6.937475 3.535288 + 700 | -.3987437 1.94315 -0.21 0.837 -4.20961 3.412123 + 701 | 2.098899 2.415661 0.87 0.385 -2.638646 6.836444 + 703 | -1.099203 1.997363 -0.55 0.582 -5.016391 2.817984 + 704 | -2.137859 1.869488 -1.14 0.253 -5.804261 1.528543 + 705 | -1.903258 1.955275 -0.97 0.330 -5.737905 1.931389 + 707 | -1.165016 2.38696 -0.49 0.626 -5.846274 3.516243 + 708 | 2.877273 3.141492 0.92 0.360 -3.283758 9.038304 + 709 | .0172243 1.929956 0.01 0.993 -3.767767 3.802216 + 710 | .7871114 2.273976 0.35 0.729 -3.672565 5.246788 + 711 | 1.140808 2.01575 0.57 0.571 -2.81244 5.094056 + 798 | 5.353841 3.365648 1.59 0.112 -1.246802 11.95448 + 799 | 4.498435 5.077019 0.89 0.376 -5.458514 14.45538 + 800 | -.833521 2.209289 -0.38 0.706 -5.166335 3.499293 + 801 | -1.596019 2.242024 -0.71 0.477 -5.993032 2.800993 + 802 | .5171665 2.479521 0.21 0.835 -4.345621 5.379954 + 803 | .7915331 1.94793 0.41 0.685 -3.028708 4.611775 + 805 | -5.441739 2.310351 -2.36 0.019 -9.972753 -.9107255 + 806 | 1.121221 2.54907 0.44 0.660 -3.877965 6.120408 + 807 | -.7246305 2.095098 -0.35 0.729 -4.833496 3.384235 + 898 | -4.98217 2.433022 -2.05 0.041 -9.753764 -.2105759 + 899 | -4.528028 3.496434 -1.30 0.195 -11.38517 2.329108 + 1000 | .4328115 2.325025 0.19 0.852 -4.126981 4.992605 + 1001 | 1.841156 2.498726 0.74 0.461 -3.059297 6.741608 + 1002 | -1.262377 2.000666 -0.63 0.528 -5.186043 2.66129 + 1003 | -.7520233 1.978461 -0.38 0.704 -4.632141 3.128094 + 1005 | -1.454071 2.350123 -0.62 0.536 -6.063085 3.154943 + 1006 | .8742648 2.239718 0.39 0.696 -3.518226 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-5.228817 7.715836 + 1901 | 9.449988 7.314762 1.29 0.197 -4.895577 23.79555 + 1902 | 1.878169 2.37318 0.79 0.429 -2.776065 6.532402 + 1905 | 2.139702 2.955782 0.72 0.469 -3.657119 7.936523 + 1906 | 3.229276 5.199878 0.62 0.535 -6.968622 13.42717 + 1907 | -1.752314 3.751436 -0.47 0.640 -9.109556 5.604928 + 1908 | -.9611493 2.504743 -0.38 0.701 -5.873401 3.951102 + 1909 | 6.127453 2.725744 2.25 0.025 .7817783 11.47313 + 1910 | 3.741599 3.678957 1.02 0.309 -3.473499 10.9567 + 1911 | .1165746 3.045134 0.04 0.969 -5.855481 6.08863 + 1912 | -2.556964 1.815224 -1.41 0.159 -6.116944 1.003017 + 1914 | 5.46533 2.907257 1.88 0.060 -.2363238 11.16698 + 1915 | -2.398886 2.856474 -0.84 0.401 -8.000945 3.203173 + 1919 | 3.190471 2.441292 1.31 0.191 -1.597342 7.978284 + 1920 | .4258606 2.078632 0.20 0.838 -3.65071 4.502432 + 1925 | 5.518696 2.417822 2.28 0.023 .7769124 10.26048 + 1926 | 1.692347 2.323473 0.73 0.466 -2.864403 6.249096 + 1927 | 3.125751 2.221848 1.41 0.160 -1.231693 7.483195 + 1929 | 1.491117 2.40396 0.62 0.535 -3.223481 6.205716 + 1999 | 2.392045 4.594831 0.52 0.603 -6.619247 11.40334 + 2000 | -1.749864 1.911253 -0.92 0.360 -5.498174 1.998447 + 2001 | -1.487946 2.224431 -0.67 0.504 -5.850455 2.874564 + 2002 | -1.5654 1.881156 -0.83 0.405 -5.254685 2.123884 + 2003 | 2.683128 2.864668 0.94 0.349 -2.935002 8.301259 + 2004 | .9045188 1.932306 0.47 0.640 -2.885081 4.694119 + 2005 | -3.261908 3.306303 -0.99 0.324 -9.746164 3.222348 + 2006 | 5.228004 2.032414 2.57 0.010 1.242074 9.213934 + 2007 | 2.962909 3.590615 0.83 0.409 -4.078934 10.00475 + 2008 | 2.56866 1.911447 1.34 0.179 -1.180032 6.317351 + 2009 | -.8341083 2.08169 -0.40 0.689 -4.916678 3.248461 + 2011 | -.1348676 1.906816 -0.07 0.944 -3.874477 3.604742 + 2012 | -1.864439 1.874154 -0.99 0.320 -5.539992 1.811114 + 2013 | -2.859881 2.34183 -1.22 0.222 -7.452632 1.73287 + 2014 | -1.041735 2.092511 -0.50 0.619 -5.145526 3.062057 + 2015 | -3.177804 2.120323 -1.50 0.134 -7.336141 .9805315 + 2030 | -.7408898 2.731946 -0.27 0.786 -6.098728 4.616949 + 2099 | .3473465 2.442201 0.14 0.887 -4.442249 5.136942 + 2100 | -2.518494 2.010702 -1.25 0.211 -6.461843 1.424855 + 2101 | -.6426308 1.974263 -0.33 0.745 -4.514515 3.229254 + 2102 | -2.304893 1.96717 -1.17 0.241 -6.162868 1.553082 + 2103 | .4333074 2.558889 0.17 0.866 -4.585135 5.45175 + 2104 | -1.72705 1.903666 -0.91 0.364 -5.460481 2.006381 + 2105 | -.285843 2.283385 -0.13 0.900 -4.763971 4.192285 + 2199 | -3.592048 2.349959 -1.53 0.127 -8.200741 1.016644 + 9999 | -.7164416 2.251873 -0.32 0.750 -5.132771 3.699888 + | + house_administration | -.1030934 .6878814 -0.15 0.881 -1.452153 1.245966 + house_agriculture | .709121 .7095255 1.00 0.318 -.6823863 2.100628 + house_appropriations | -2.067027 .6460895 -3.20 0.001 -3.334125 -.799929 + house_armedservices | -1.49821 .5339542 -2.81 0.005 -2.54539 -.4510293 + house_budget | .7259355 .814959 0.89 0.373 -.8723458 2.324217 + house_dc | 2.792077 1.938929 1.44 0.150 -1.010511 6.594666 + house_educlabor | 1.128514 .6141441 1.84 0.066 -.0759333 2.332961 + house_energycommerce | 1.104688 .5174247 2.13 0.033 .0899255 2.119451 + house_foreignaffairs | -1.915026 1.219308 -1.57 0.116 -4.30631 .476257 + house_governmentop | .0299245 .7690314 0.04 0.969 -1.478284 1.538133 + house_intelligence | .5155539 1.551495 0.33 0.740 -2.527207 3.558315 + house_interior | -1.048742 .8391649 -1.25 0.212 -2.694496 .5970113 + house_judiciary | -.2465934 .3714143 -0.66 0.507 -.9750038 .481817 + house_mmf | .9588329 .8424973 1.14 0.255 -.693456 2.611122 + house_pocs | .5219116 .9424658 0.55 0.580 -1.326434 2.370257 + house_pwt | -.8513394 .5948636 -1.43 0.153 -2.017974 .3152951 + house_rules | -.4789657 .5322853 -0.90 0.368 -1.522873 .5649415 + house_sst | -.1385789 1.283877 -0.11 0.914 -2.656493 2.379335 + house_smallbusi | 2.223892 2.331521 0.95 0.340 -2.348641 6.796426 + house_soc | 4.386968 1.842761 2.38 0.017 .7729814 8.000955 + house_veterans | .0661198 .7700682 0.09 0.932 -1.444123 1.576362 + house_waysandmeans | -.6280231 .3138567 -2.00 0.046 -1.243553 -.0124935 +house_naturalresources | .3700221 1.156899 0.32 0.749 -1.898865 2.638909 + house_bfs | .541493 .7691378 0.70 0.482 -.9669246 2.049911 + house_eeo | -.3876313 1.370354 -0.28 0.777 -3.075142 2.299879 + house_govreform | .8743591 .4564534 1.92 0.056 -.0208282 1.769546 + house_ir | .0297278 1.589907 0.02 0.985 -3.088366 3.147822 + house_natsecur | -.6067518 1.418848 -0.43 0.669 -3.389369 2.175865 + house_oversight | .2910585 .8508185 0.34 0.732 -1.37755 1.959667 + house_resources | -1.65262 .9055283 -1.83 0.068 -3.428523 .1232844 + house_science | 1.515966 .8345815 1.82 0.069 -.1207989 3.15273 + house_transp | -.4601076 .9007079 -0.51 0.610 -2.226558 1.306343 + house_homeland | .4193164 1.437722 0.29 0.771 -2.400314 3.238947 + _cons | 3.746827 1.782662 2.10 0.036 .2507064 7.242947 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,953 1 0 1 1 +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(62,331 observations deleted) +(15 missing values generated) +(3 real changes made) +(3 real changes made) +(17 missing values generated) +(1 real change made) +(0 real changes made) +(18 missing values generated) +(0 real changes made) +(0 real changes made) +(15 missing values generated) +(3 real changes made) +(3 real changes made) +(15 missing values generated) +(3 real changes made) +(3 real changes made) +(5 real changes made) +(5 real changes made) +(5 real changes made) +file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/Table6_pct_cosponsors_fem.xls saved + + +j = 1 k = 1 + + +rdbwselect_2014 pct_cosponsors_leader MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11989 +----------------------+---------------------- NN matches = 3 + Number of obs | 6150 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 24.12402 42.82562 .563308 +---------------------------------------------- +reg pct_cosponsors_leader sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ +> 3 occ4 borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if tag_bill==1, robust cluster(group_sponsor) + +Linear regression Number of obs = 60,668 + F(291, 4745) = . + Prob > F = . + R-squared = 0.0615 + Root MSE = 9.983 + + (Std. Err. adjusted for 4,746 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + pct_cosponsors_leader | Coef. Std. Err. t P>|t| [95% Conf. 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1.820347 + house_waysandmeans | -.5056222 .1396905 -3.62 0.000 -.7794804 -.231764 +house_naturalresources | -1.116424 .344795 -3.24 0.001 -1.792382 -.4404662 + house_bfs | .3508615 .2611741 1.34 0.179 -.161161 .862884 + house_eeo | .3222587 .5634738 0.57 0.567 -.7824115 1.426929 + house_govreform | 1.124193 .2741659 4.10 0.000 .5867008 1.661686 + house_ir | 2.26603 .5110323 4.43 0.000 1.26417 3.267891 + house_natsecur | .1670768 .7385894 0.23 0.821 -1.280901 1.615055 + house_oversight | -.325145 .3953701 -0.82 0.411 -1.100254 .4499639 + house_resources | .2020924 .3072668 0.66 0.511 -.4002932 .804478 + house_science | 1.115303 .5217281 2.14 0.033 .092474 2.138132 + house_transp | .4730148 .3086585 1.53 0.125 -.132099 1.078129 + house_homeland | .5268011 .5717423 0.92 0.357 -.5940792 1.647681 + sponsor_democrat | .2736649 .1375058 1.99 0.047 .0040897 .5432401 + sponsor_rookie | -.4129529 .197827 -2.09 0.037 -.8007857 -.0251201 + sponsor_tenure_run | .1320787 .0287135 4.60 0.000 .0757869 .1883704 + sponsor_age | .0164408 .0077964 2.11 0.035 .0011562 .0317253 + leader | 1.073665 .2595964 4.14 0.000 .5647358 1.582595 + ivycoll | -.4414367 .1845877 -2.39 0.017 -.8033142 -.0795592 + black | -.0042778 .4688489 -0.01 0.993 -.9234392 .9148836 + occ0 | .0101689 .2000957 0.05 0.959 -.3821117 .4024494 + occ1 | .1090904 .2424656 0.45 0.653 -.3662548 .5844356 + occ2 | .0131171 .1864657 0.07 0.944 -.3524421 .3786764 + occ3 | -.3224384 .2669307 -1.21 0.227 -.8457464 .2008697 + occ4 | .1542117 .206556 0.75 0.455 -.250734 .5591574 + borninstate | .281602 .140162 2.01 0.045 .0068195 .5563845 + tot_bills | -.027633 .0057798 -4.78 0.000 -.038964 -.016302 + NE | -.4237735 .2003722 -2.11 0.034 -.816596 -.0309511 + MW | .4295545 .2068312 2.08 0.038 .0240694 .8350397 + WE | .25597 .2239247 1.14 0.253 -.1830263 .6949664 + pct_black | -.7321927 1.022564 -0.72 0.474 -2.736893 1.272508 + pct_urban | -1.063715 .4931315 -2.16 0.031 -2.030481 -.096948 + pct_for_born | 2.044974 1.01197 2.02 0.043 .0610431 4.028904 + pct_age_over65 | -1.118695 1.919425 -0.58 0.560 -4.881659 2.644269 + lninc | .7560162 .3866831 1.96 0.051 -.0020621 1.514094 + lnpden | .2130221 .0729236 2.92 0.004 .070058 .3559861 + _cons | -3.85461 3.970273 -0.97 0.332 -11.63819 3.928967 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,746 1 0 1 1 + + +j = 1 k = 2 + + +rdbwselect_2014 pct_cosponsors_leader MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6186 +----------------------+---------------------- NN matches = 3 + Number of obs | 2192 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 25.43871 47.04334 .5407506 +---------------------------------------------- +reg pct_cosponsors_leader sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ +> 3 occ4 borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if sponsor_party==100 & tag_bill==1, robust cluster(group_sponso +> r) +note: sponsor_democrat omitted because of collinearity + +Linear regression Number of obs = 32,846 + F(290, 2491) = . + Prob > F = . + R-squared = 0.0690 + Root MSE = 10.12 + + (Std. Err. adjusted for 2,492 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + pct_cosponsors_leader | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -.2182327 .2453425 -0.89 0.374 -.6993289 .2628635 + | + v2 | + 102 | .1017566 .3555481 0.29 0.775 -.5954437 .7989569 + 103 | -.5400163 .5184901 -1.04 0.298 -1.556732 .4766997 + 104 | -2.093369 .5445615 -3.84 0.000 -3.161209 -1.025529 + 105 | -1.143603 .5145614 -2.22 0.026 -2.152615 -.1345905 + 106 | -1.611992 .4957442 -3.25 0.001 -2.584105 -.6398789 + 107 | -.6424426 .5529196 -1.16 0.245 -1.726672 .4417868 + 108 | 5.561847 1.485472 3.74 0.000 2.64896 8.474733 + 109 | 4.611005 1.504247 3.07 0.002 1.661302 7.560708 + 110 | 7.999168 1.530689 5.23 0.000 4.997615 11.00072 + 111 | 4.530442 1.472956 3.08 0.002 1.642097 7.418787 + | + minor | + 101 | -1.150708 2.382039 -0.48 0.629 -5.821689 3.520272 + 103 | -4.741118 1.594923 -2.97 0.003 -7.868628 -1.613607 + 104 | -1.651332 1.882584 -0.88 0.380 -5.342922 2.040258 + 105 | -.2430388 1.633161 -0.15 0.882 -3.445532 2.959454 + 107 | -.1368819 1.53115 -0.09 0.929 -3.139339 2.865575 + 108 | 1.558536 2.292521 0.68 0.497 -2.936908 6.053979 + 110 | -2.117981 3.663957 -0.58 0.563 -9.302695 5.066734 + 200 | .4299747 1.709343 0.25 0.801 -2.921905 3.781854 + 201 | .8267472 2.032665 0.41 0.684 -3.15914 4.812634 + 202 | 1.667137 1.792586 0.93 0.352 -1.847976 5.182249 + 204 | .8649742 2.798947 0.31 0.757 -4.623527 6.353476 + 205 | 5.347954 3.377995 1.58 0.114 -1.276013 11.97192 + 206 | -.3170674 1.915686 -0.17 0.869 -4.073569 3.439434 + 207 | 1.468057 1.663041 0.88 0.377 -1.793028 4.729142 + 208 | .450032 1.699599 0.26 0.791 -2.88274 3.782804 + 209 | 4.886224 5.08579 0.96 0.337 -5.086588 14.85903 + 299 | 6.374828 3.622579 1.76 0.079 -.728747 13.4784 + 300 | 2.311497 1.964472 1.18 0.239 -1.54067 6.163664 + 301 | 1.949249 1.625796 1.20 0.231 -1.238802 5.1373 + 302 | .7620507 1.539067 0.50 0.621 -2.255931 3.780032 + 321 | 3.449898 1.791454 1.93 0.054 -.0629949 6.96279 + 322 | 1.81384 1.669574 1.09 0.277 -1.460056 5.087737 + 323 | 1.623393 1.689248 0.96 0.337 -1.689082 4.935868 + 324 | -.1812077 1.733689 -0.10 0.917 -3.580827 3.218412 + 325 | 1.14491 1.661251 0.69 0.491 -2.112666 4.402485 + 331 | 2.015279 1.558063 1.29 0.196 -1.039952 5.07051 + 332 | 1.427074 1.568819 0.91 0.363 -1.64925 4.503398 + 333 | 2.63618 1.756384 1.50 0.134 -.8079431 6.080303 + 334 | 1.730859 1.595561 1.08 0.278 -1.397903 4.85962 + 335 | .4864316 1.661089 0.29 0.770 -2.770825 3.743688 + 336 | 1.459094 1.606926 0.91 0.364 -1.691955 4.610142 + 341 | 2.237747 1.69931 1.32 0.188 -1.094459 5.569952 + 342 | 3.387008 2.390324 1.42 0.157 -1.300218 8.074235 + 343 | 3.371727 2.245546 1.50 0.133 -1.031601 7.775056 + 344 | 3.060474 2.362589 1.30 0.195 -1.572366 7.693314 + 398 | 2.192248 1.629244 1.35 0.179 -1.002564 5.387061 + 399 | -.434177 1.741711 -0.25 0.803 -3.849528 2.981174 + 400 | 2.134418 2.329545 0.92 0.360 -2.433626 6.702462 + 401 | -1.411933 1.848773 -0.76 0.445 -5.037223 2.213358 + 402 | .0039123 1.65084 0.00 0.998 -3.233248 3.241073 + 403 | .6471226 1.654662 0.39 0.696 -2.597532 3.891777 + 404 | 2.751214 2.471491 1.11 0.266 -2.095174 7.597603 + 405 | 5.973926 2.400398 2.49 0.013 1.266945 10.68091 + 498 | -.3672963 1.944655 -0.19 0.850 -4.180604 3.446011 + 499 | .1371062 2.41269 0.06 0.955 -4.593977 4.86819 + 500 | -2.030256 2.03713 -1.00 0.319 -6.024898 1.964386 + 501 | .7541699 1.742448 0.43 0.665 -2.662625 4.170965 + 502 | .4852747 1.696776 0.29 0.775 -2.841961 3.812511 + 503 | 1.066987 1.564699 0.68 0.495 -2.001258 4.135232 + 504 | 1.888147 1.884549 1.00 0.316 -1.807297 5.583591 + 505 | 1.338481 1.697247 0.79 0.430 -1.98968 4.666641 + 506 | 1.441182 1.805361 0.80 0.425 -2.098981 4.981344 + 508 | -.2713401 1.625024 -0.17 0.867 -3.457877 2.915197 + 529 | 1.47048 2.2142 0.66 0.507 -2.871382 5.812341 + 530 | -.2817631 1.515726 -0.19 0.853 -3.253975 2.690449 + 599 | 1.727984 3.102172 0.56 0.578 -4.355116 7.811084 + 600 | 2.400104 1.851072 1.30 0.195 -1.229694 6.029902 + 601 | 1.514629 1.558389 0.97 0.331 -1.541242 4.570501 + 602 | .9732855 1.508724 0.65 0.519 -1.985196 3.931767 + 603 | 2.340645 1.876526 1.25 0.212 -1.339067 6.020357 + 604 | 1.674569 2.413136 0.69 0.488 -3.057389 6.406527 + 606 | 3.038027 2.304061 1.32 0.187 -1.480045 7.556098 + 607 | 1.09952 1.709963 0.64 0.520 -2.253575 4.452614 + 609 | 2.638127 3.316675 0.80 0.426 -3.865596 9.141849 + 698 | 4.556804 5.1493 0.88 0.376 -5.540545 14.65415 + 699 | 2.275066 2.030099 1.12 0.263 -1.705789 6.255922 + 700 | 1.697906 1.822637 0.93 0.352 -1.876134 5.271945 + 701 | -.1523353 1.732679 -0.09 0.930 -3.549974 3.245303 + 703 | -.5728553 1.712901 -0.33 0.738 -3.931712 2.786001 + 704 | .6589532 1.650471 0.40 0.690 -2.577482 3.895389 + 705 | -.4697621 1.624172 -0.29 0.772 -3.654629 2.715105 + 707 | 1.894993 1.719998 1.10 0.271 -1.477781 5.267766 + 708 | 1.5276 1.802016 0.85 0.397 -2.006003 5.061203 + 709 | 1.89898 1.625727 1.17 0.243 -1.288936 5.086896 + 710 | .7054944 1.762108 0.40 0.689 -2.749852 4.160841 + 711 | -.3686477 1.687171 -0.22 0.827 -3.677049 2.939754 + 798 | .9052246 2.219999 0.41 0.683 -3.448008 5.258457 + 799 | 2.902499 4.06457 0.71 0.475 -5.067785 10.87278 + 800 | -1.146723 1.76895 -0.65 0.517 -4.615486 2.322041 + 801 | .1421928 1.900714 0.07 0.940 -3.584949 3.869334 + 802 | .6070558 1.754749 0.35 0.729 -2.83386 4.047972 + 803 | -.0487863 1.584597 -0.03 0.975 -3.156048 3.058476 + 805 | .6935579 2.059308 0.34 0.736 -3.344574 4.73169 + 806 | .1387209 1.632997 0.08 0.932 -3.06345 3.340892 + 807 | -1.563799 1.646315 -0.95 0.342 -4.792086 1.664488 + 898 | .3477 1.995523 0.17 0.862 -3.565355 4.260755 + 899 | -2.305998 2.437038 -0.95 0.344 -7.084827 2.472831 + 1000 | .7471205 2.063991 0.36 0.717 -3.300194 4.794435 + 1001 | .4816868 2.262232 0.21 0.831 -3.954361 4.917735 + 1002 | .2613249 1.939788 0.13 0.893 -3.542438 4.065088 + 1003 | 1.334615 1.830902 0.73 0.466 -2.255632 4.924862 + 1005 | -.0962332 1.788385 -0.05 0.957 -3.603108 3.410641 + 1006 | .4818852 1.636911 0.29 0.768 -2.727961 3.691731 + 1007 | 4.535647 2.110735 2.15 0.032 .3966724 8.674622 + 1010 | .0157307 1.888922 0.01 0.993 -3.688289 3.71975 + 1098 | .7286193 3.238693 0.22 0.822 -5.622188 7.079427 + 1099 | -2.448775 2.965397 -0.83 0.409 -8.263671 3.366122 + 1200 | -1.993111 1.816274 -1.10 0.273 -5.554674 1.568451 + 1201 | -.3449844 1.693935 -0.20 0.839 -3.66665 2.976682 + 1202 | 4.460692 2.709914 1.65 0.100 -.8532235 9.774607 + 1203 | .6388197 1.748895 0.37 0.715 -2.790618 4.068258 + 1204 | 1.434029 2.099366 0.68 0.495 -2.682652 5.55071 + 1205 | 2.369789 2.091487 1.13 0.257 -1.731444 6.471021 + 1206 | .7266332 2.054045 0.35 0.724 -3.301178 4.754445 + 1207 | -.9800507 1.756252 -0.56 0.577 -4.423916 2.463814 + 1208 | .9507757 1.573255 0.60 0.546 -2.134247 4.035798 + 1209 | .3229063 1.564139 0.21 0.836 -2.744239 3.390052 + 1210 | .7034905 1.66542 0.42 0.673 -2.56226 3.969242 + 1211 | .3982406 1.849776 0.22 0.830 -3.229015 4.025497 + 1299 | -.0289572 2.142537 -0.01 0.989 -4.230294 4.17238 + 1300 | 1.740041 1.765058 0.99 0.324 -1.72109 5.201172 + 1301 | .49142 1.708695 0.29 0.774 -2.859188 3.842028 + 1302 | -.2678952 1.703013 -0.16 0.875 -3.607363 3.071572 + 1303 | .1850571 1.598648 0.12 0.908 -2.949759 3.319873 + 1304 | 1.556311 1.582576 0.98 0.326 -1.546988 4.659611 + 1305 | -.5591655 1.782877 -0.31 0.754 -4.055239 2.936908 + 1399 | 2.219983 2.259684 0.98 0.326 -2.211069 6.651034 + 1400 | 3.044765 1.789073 1.70 0.089 -.4634589 6.552988 + 1401 | .8312861 1.788593 0.46 0.642 -2.675996 4.338569 + 1403 | .1570338 1.690929 0.09 0.926 -3.158736 3.472804 + 1404 | 3.519257 2.776557 1.27 0.205 -1.925339 8.963854 + 1405 | -.7892906 1.682081 -0.47 0.639 -4.087711 2.50913 + 1406 | 1.334189 1.784205 0.75 0.455 -2.164489 4.832866 + 1407 | 2.116131 1.943151 1.09 0.276 -1.694226 5.926488 + 1408 | -.789313 1.879199 -0.42 0.675 -4.474266 2.89564 + 1409 | 4.267957 2.199381 1.94 0.052 -.0448464 8.580761 + 1410 | 1.037246 2.274263 0.46 0.648 -3.422395 5.496887 + 1499 | -2.874471 1.603708 -1.79 0.073 -6.019208 .2702665 + 1500 | 2.618549 2.3708 1.10 0.269 -2.030393 7.267491 + 1501 | -.3085849 1.580626 -0.20 0.845 -3.408062 2.790892 + 1502 | 2.505869 1.733143 1.45 0.148 -.8926802 5.904419 + 1504 | -.6916146 1.561143 -0.44 0.658 -3.752887 2.369658 + 1505 | 2.471228 2.00195 1.23 0.217 -1.454428 6.396885 + 1507 | 1.888603 2.227475 0.85 0.397 -2.479289 6.256496 + 1520 | -.3903977 1.723314 -0.23 0.821 -3.769672 2.988877 + 1521 | -1.116779 1.607329 -0.69 0.487 -4.268618 2.035059 + 1522 | 3.227192 2.42192 1.33 0.183 -1.521993 7.976376 + 1523 | .3111268 1.622218 0.19 0.848 -2.869907 3.492161 + 1524 | -.4193902 2.318758 -0.18 0.856 -4.966281 4.127501 + 1525 | .0167935 1.584708 0.01 0.992 -3.090687 3.124274 + 1526 | -2.236978 1.682955 -1.33 0.184 -5.537112 1.063157 + 1599 | 1.987495 2.170642 0.92 0.360 -2.268954 6.243944 + 1600 | 1.94877 2.087707 0.93 0.351 -2.14505 6.042591 + 1602 | -.2846841 2.219959 -0.13 0.898 -4.637839 4.068471 + 1603 | -.5737236 2.526488 -0.23 0.820 -5.527956 4.380509 + 1604 | 2.363417 3.019925 0.78 0.434 -3.558406 8.285239 + 1605 | 4.2376 2.032209 2.09 0.037 .2526067 8.222592 + 1606 | 8.527061 3.736442 2.28 0.023 1.200209 15.85391 + 1608 | 2.350726 1.622385 1.45 0.147 -.8306356 5.532088 + 1609 | 1.380014 1.606089 0.86 0.390 -1.769394 4.529421 + 1610 | 4.289702 2.468844 1.74 0.082 -.5514961 9.130899 + 1611 | -1.423941 1.790099 -0.80 0.426 -4.934177 2.086294 + 1612 | 1.317967 1.743286 0.76 0.450 -2.100471 4.736406 + 1614 | 2.823881 2.347143 1.20 0.229 -1.778671 7.426433 + 1615 | 2.654661 1.965369 1.35 0.177 -1.199264 6.508586 + 1616 | .3305432 2.052012 0.16 0.872 -3.693281 4.354368 + 1617 | .2271793 2.092029 0.11 0.914 -3.875116 4.329474 + 1619 | 1.629901 1.944803 0.84 0.402 -2.183696 5.443497 + 1620 | -.7378891 2.082644 -0.35 0.723 -4.82178 3.346002 + 1698 | 4.002839 4.450391 0.90 0.369 -4.724008 12.72969 + 1699 | 1.068507 1.692123 0.63 0.528 -2.249606 4.38662 + 1700 | 1.329318 2.155726 0.62 0.538 -2.897881 5.556518 + 1701 | 3.976088 2.56314 1.55 0.121 -1.050015 9.002192 + 1704 | 8.468864 4.642917 1.82 0.068 -.6355095 17.57324 + 1705 | -.4896993 3.91365 -0.13 0.900 -8.164042 7.184643 + 1706 | -.3647942 1.724144 -0.21 0.832 -3.745697 3.016109 + 1707 | 2.281914 1.731562 1.32 0.188 -1.113535 5.677363 + 1708 | 6.201511 3.047499 2.03 0.042 .2256184 12.1774 + 1709 | 1.509274 1.939145 0.78 0.436 -2.293228 5.311777 + 1798 | .1025665 1.775271 0.06 0.954 -3.378592 3.583725 + 1799 | .7101187 3.230971 0.22 0.826 -5.625546 7.045784 + 1800 | 3.180002 2.286736 1.39 0.164 -1.304097 7.6641 + 1802 | 1.807323 1.685373 1.07 0.284 -1.497554 5.1122 + 1803 | 1.270944 1.880275 0.68 0.499 -2.416119 4.958006 + 1804 | -2.337518 1.725206 -1.35 0.176 -5.720502 1.045467 + 1806 | 2.114245 2.028745 1.04 0.297 -1.863956 6.092446 + 1807 | -3.278486 1.556376 -2.11 0.035 -6.33041 -.2265623 + 1808 | 2.518898 4.97914 0.51 0.613 -7.244782 12.28258 + 1899 | 1.744464 3.802752 0.46 0.646 -5.712415 9.201344 + 1900 | 1.300058 2.182354 0.60 0.551 -2.979358 5.579473 + 1901 | .9639715 1.736103 0.56 0.579 -2.440383 4.368326 + 1902 | 7.9328 3.523759 2.25 0.024 1.023002 14.8426 + 1905 | .3807833 1.758743 0.22 0.829 -3.067964 3.829531 + 1906 | .0519381 1.765207 0.03 0.977 -3.409487 3.513363 + 1907 | 2.691501 2.983113 0.90 0.367 -3.158136 8.541137 + 1908 | 6.053372 4.507445 1.34 0.179 -2.785353 14.8921 + 1909 | 1.086033 3.534526 0.31 0.759 -5.844878 8.016945 + 1910 | 1.566406 3.330084 0.47 0.638 -4.963613 8.096424 + 1911 | -.2667642 2.236569 -0.12 0.905 -4.65249 4.118962 + 1912 | -4.902946 2.039341 -2.40 0.016 -8.901924 -.9039688 + 1914 | 4.10674 1.907829 2.15 0.031 .3656451 7.847835 + 1915 | 7.706158 12.83267 0.60 0.548 -17.45763 32.86995 + 1919 | 3.790351 3.599274 1.05 0.292 -3.267525 10.84823 + 1920 | -.9001955 1.68816 -0.53 0.594 -4.210538 2.410147 + 1925 | 2.972807 1.933809 1.54 0.124 -.8192311 6.764844 + 1926 | 1.864108 2.110626 0.88 0.377 -2.274654 6.00287 + 1927 | -1.024957 1.8943 -0.54 0.589 -4.739522 2.689609 + 1929 | 2.014602 2.562437 0.79 0.432 -3.010124 7.039327 + 1999 | -2.155241 2.888694 -0.75 0.456 -7.819729 3.509247 + 2000 | -.1250581 1.835052 -0.07 0.946 -3.723442 3.473325 + 2001 | .4570611 1.80097 0.25 0.800 -3.074491 3.988613 + 2002 | .6588322 1.849018 0.36 0.722 -2.966939 4.284603 + 2003 | .9010622 1.781326 0.51 0.613 -2.591969 4.394093 + 2004 | .540608 1.591899 0.34 0.734 -2.580973 3.662189 + 2005 | 3.15231 4.383168 0.72 0.472 -5.442718 11.74734 + 2006 | 2.8921 1.618461 1.79 0.074 -.2815673 6.065768 + 2007 | 2.139486 1.875814 1.14 0.254 -1.538829 5.817802 + 2008 | 1.151557 1.557868 0.74 0.460 -1.903292 4.206407 + 2009 | 2.081246 2.500478 0.83 0.405 -2.821983 6.984475 + 2010 | 40.22945 1.574601 25.55 0.000 37.14179 43.31711 + 2011 | 1.284136 1.871592 0.69 0.493 -2.3859 4.954171 + 2012 | -.535713 1.576978 -0.34 0.734 -3.628036 2.55661 + 2013 | .9583604 2.049247 0.47 0.640 -3.060042 4.976763 + 2014 | 2.339158 2.554841 0.92 0.360 -2.670673 7.348989 + 2015 | -1.307892 1.868139 -0.70 0.484 -4.971158 2.355373 + 2030 | 3.355642 2.993582 1.12 0.262 -2.514523 9.225806 + 2099 | 3.223632 2.33561 1.38 0.168 -1.356305 7.80357 + 2100 | -1.559495 2.040397 -0.76 0.445 -5.560544 2.441555 + 2101 | -.511729 1.605789 -0.32 0.750 -3.660549 2.637091 + 2102 | .2819569 1.618286 0.17 0.862 -2.891366 3.45528 + 2103 | -.4823857 1.599659 -0.30 0.763 -3.619185 2.654413 + 2104 | -2.340704 1.585778 -1.48 0.140 -5.450282 .768875 + 2105 | .339136 2.535743 0.13 0.894 -4.633244 5.311516 + 2199 | 10.6618 13.09583 0.81 0.416 -15.01804 36.34164 + 9999 | .0857053 2.037455 0.04 0.966 -3.909574 4.080984 + | + house_administration | 1.024493 .6588184 1.56 0.120 -.2673952 2.316381 + house_agriculture | .2660624 .4171512 0.64 0.524 -.5519364 1.084061 + house_appropriations | -3.072377 .8505546 -3.61 0.000 -4.740244 -1.40451 + house_armedservices | -.3737312 .3601365 -1.04 0.299 -1.079929 .3324665 + house_budget | 1.290015 .8452483 1.53 0.127 -.3674468 2.947476 + house_dc | -2.322602 2.448031 -0.95 0.343 -7.122987 2.477782 + house_educlabor | .2103427 .2359568 0.89 0.373 -.2523489 .6730343 + house_energycommerce | .1708389 .2197122 0.78 0.437 -.2599985 .6016763 + house_foreignaffairs | 1.092604 .5386147 2.03 0.043 .0364252 2.148782 + house_governmentop | .6032461 .7518487 0.80 0.422 -.8710667 2.077559 + house_intelligence | .0678597 1.417865 0.05 0.962 -2.712455 2.848175 + house_interior | .085455 .5623782 0.15 0.879 -1.017322 1.188232 + house_judiciary | .6381534 .2835836 2.25 0.025 .0820697 1.194237 + house_mmf | 6.229043 1.143529 5.45 0.000 3.986677 8.471408 + house_pocs | .7846277 .5676254 1.38 0.167 -.3284385 1.897694 + house_pwt | 1.480131 .680309 2.18 0.030 .1461017 2.81416 + house_rules | -.7153505 .5735605 -1.25 0.212 -1.840055 .4093539 + house_sst | .1364272 1.047617 0.13 0.896 -1.917863 2.190717 + house_smallbusi | 1.916242 .8697079 2.20 0.028 .2108175 3.621667 + house_soc | .6927764 2.969082 0.23 0.816 -5.129345 6.514898 + house_veterans | .944086 .4415793 2.14 0.033 .0781858 1.809986 + house_waysandmeans | -.4852848 .1873183 -2.59 0.010 -.8526005 -.1179691 +house_naturalresources | -1.339532 .4420483 -3.03 0.002 -2.206352 -.4727125 + house_bfs | .0025076 .3173563 0.01 0.994 -.6198017 .624817 + house_eeo | .5361396 .6382372 0.84 0.401 -.7153905 1.78767 + house_govreform | 1.011837 .3580444 2.83 0.005 .3097414 1.713932 + house_ir | 1.623713 .5834436 2.78 0.005 .4796291 2.767798 + house_natsecur | -.858516 .6629236 -1.30 0.195 -2.158454 .4414221 + house_oversight | .3351943 .5918696 0.57 0.571 -.8254127 1.495801 + house_resources | .5901342 .4537605 1.30 0.194 -.2996523 1.479921 + house_science | -.0740769 .6348375 -0.12 0.907 -1.31894 1.170787 + house_transp | -.4182066 .3351864 -1.25 0.212 -1.075479 .239066 + house_homeland | .7849741 .8402995 0.93 0.350 -.8627834 2.432732 + sponsor_democrat | 0 (omitted) + sponsor_rookie | -.6249734 .3076199 -2.03 0.042 -1.228191 -.0217563 + sponsor_tenure_run | .1616825 .037005 4.37 0.000 .0891187 .2342463 + sponsor_age | .0100168 .0106193 0.94 0.346 -.0108067 .0308404 + leader | .6552238 .355972 1.84 0.066 -.0428077 1.353255 + ivycoll | -.5069766 .2434549 -2.08 0.037 -.9843713 -.0295818 + black | -.0232713 .5748573 -0.04 0.968 -1.150519 1.103976 + occ0 | -.2332006 .2871475 -0.81 0.417 -.7962729 .3298717 + occ1 | .2125315 .3216832 0.66 0.509 -.4182624 .8433254 + occ2 | -.6524932 .2552579 -2.56 0.011 -1.153033 -.1519537 + occ3 | -.2061684 .4132179 -0.50 0.618 -1.016454 .6041174 + occ4 | -.1130333 .3396193 -0.33 0.739 -.7789985 .5529318 + borninstate | .1312721 .1951764 0.67 0.501 -.2514525 .5139967 + tot_bills | -.0427545 .0052254 -8.18 0.000 -.0530012 -.0325079 + NE | -.8452676 .2808776 -3.01 0.003 -1.396045 -.29449 + MW | .4561598 .2920602 1.56 0.118 -.1165459 1.028866 + WE | .2763263 .30133 0.92 0.359 -.3145569 .8672094 + pct_black | -1.206544 1.308942 -0.92 0.357 -3.77327 1.360181 + pct_urban | -.9398271 .7021564 -1.34 0.181 -2.316697 .4370432 + pct_for_born | 1.049026 1.252712 0.84 0.402 -1.407438 3.505491 + pct_age_over65 | 1.004674 2.956148 0.34 0.734 -4.792086 6.801434 + lninc | .6672512 .4891593 1.36 0.173 -.2919495 1.626452 + lnpden | .3503028 .0942422 3.72 0.000 .1655016 .5351039 + _cons | -3.204129 4.990105 -0.64 0.521 -12.98931 6.581053 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,492 1 0 1 1 + + +j = 1 k = 3 + + +rdbwselect_2014 pct_cosponsors_leader MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 10.55892 17.44562 .6052474 +---------------------------------------------- +reg pct_cosponsors_leader sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ +> 3 occ4 borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if sponsor_party==200 & tag_bill==1, robust cluster(group_sponso +> r) +note: sponsor_democrat omitted because of collinearity + +Linear regression Number of obs = 27,670 + F(289, 2243) = . + Prob > F = . + R-squared = 0.0733 + Root MSE = 9.7486 + + (Std. Err. adjusted for 2,244 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + pct_cosponsors_leader | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | .4393614 .2697818 1.63 0.104 -.0896867 .9684095 + | + v2 | + 102 | .1014297 .4446365 0.23 0.820 -.7705124 .9733718 + 103 | -.8238727 .5439596 -1.51 0.130 -1.89059 .2428442 + 104 | -1.044795 .5955671 -1.75 0.080 -2.212716 .1231249 + 105 | -.6869883 .5358603 -1.28 0.200 -1.737822 .3638457 + 106 | -1.404809 .5289147 -2.66 0.008 -2.442022 -.3675956 + 107 | -.0487218 .5375021 -0.09 0.928 -1.102775 1.005332 + 108 | .0273566 1.681893 0.02 0.987 -3.270872 3.325585 + 109 | -.7172855 1.638466 -0.44 0.662 -3.930355 2.495784 + 110 | 1.144276 1.672152 0.68 0.494 -2.13485 4.423403 + 111 | -1.478579 1.708268 -0.87 0.387 -4.828531 1.871373 + | + minor | + 101 | -3.469131 2.340869 -1.48 0.138 -8.059627 1.121364 + 103 | -.0240175 3.193905 -0.01 0.994 -6.287337 6.239302 + 104 | -2.679378 2.174774 -1.23 0.218 -6.944157 1.585401 + 105 | .9866332 2.292693 0.43 0.667 -3.509388 5.482655 + 107 | -.6421406 1.921409 -0.33 0.738 -4.410066 3.125785 + 108 | .4744556 3.629805 0.13 0.896 -6.643672 7.592584 + 110 | -5.362768 3.059339 -1.75 0.080 -11.3622 .6366637 + 200 | -.8520803 2.068011 -0.41 0.680 -4.907496 3.203335 + 201 | -1.868795 4.67773 -0.40 0.690 -11.04193 7.304338 + 202 | 2.01347 4.054014 0.50 0.619 -5.936541 9.963482 + 204 | .3908789 2.56788 0.15 0.879 -4.64479 5.426548 + 205 | 3.11554 2.697277 1.16 0.248 -2.173881 8.404961 + 206 | -1.862237 2.116187 -0.88 0.379 -6.012127 2.287653 + 207 | -.3797172 2.02219 -0.19 0.851 -4.345276 3.585842 + 208 | -.4685487 2.081626 -0.23 0.822 -4.550664 3.613567 + 209 | -5.714101 1.935433 -2.95 0.003 -9.509528 -1.918674 + 299 | .8182019 2.383847 0.34 0.731 -3.856575 5.492978 + 300 | 1.375817 2.289714 0.60 0.548 -3.114363 5.865998 + 301 | .7349151 1.927782 0.38 0.703 -3.045508 4.515339 + 302 | .1177768 1.922391 0.06 0.951 -3.652075 3.887629 + 321 | .2051992 2.074106 0.10 0.921 -3.862168 4.272567 + 322 | .2775124 2.066019 0.13 0.893 -3.773997 4.329022 + 323 | -1.082393 1.999012 -0.54 0.588 -5.002499 2.837714 + 324 | -2.058531 2.020722 -1.02 0.308 -6.021212 1.90415 + 325 | .1152624 2.082524 0.06 0.956 -3.968613 4.199138 + 331 | .0082764 2.012375 0.00 0.997 -3.938036 3.954589 + 332 | .3177355 2.0565 0.15 0.877 -3.715107 4.350578 + 333 | 1.451545 2.499868 0.58 0.562 -3.450752 6.353842 + 334 | .2821544 2.041013 0.14 0.890 -3.720318 4.284626 + 335 | .589557 2.196857 0.27 0.788 -3.718528 4.897642 + 336 | 1.158771 2.164314 0.54 0.592 -3.085496 5.403039 + 341 | -.780591 2.225999 -0.35 0.726 -5.145825 3.584643 + 342 | 1.652984 2.261812 0.73 0.465 -2.782478 6.088447 + 343 | -.9834369 2.093234 -0.47 0.639 -5.088314 3.12144 + 344 | .5219116 2.865848 0.18 0.856 -5.098081 6.141904 + 398 | -.0418538 1.997967 -0.02 0.983 -3.959911 3.876203 + 399 | -1.484227 2.545493 -0.58 0.560 -6.475995 3.50754 + 400 | .6995164 2.678757 0.26 0.794 -4.553585 5.952618 + 401 | -1.939979 2.12474 -0.91 0.361 -6.106641 2.226684 + 402 | -1.324653 2.010252 -0.66 0.510 -5.266801 2.617495 + 403 | -2.653136 2.000334 -1.33 0.185 -6.575835 1.269564 + 404 | -.7106722 2.262331 -0.31 0.753 -5.147154 3.72581 + 405 | -1.780133 2.280951 -0.78 0.435 -6.253128 2.692862 + 498 | -.780305 3.402068 -0.23 0.819 -7.451836 5.891226 + 499 | -.9537814 2.237994 -0.43 0.670 -5.342537 3.434974 + 500 | 1.653019 3.659449 0.45 0.652 -5.523243 8.82928 + 501 | 1.699412 2.662395 0.64 0.523 -3.521604 6.920428 + 502 | -.8094354 2.187183 -0.37 0.711 -5.09855 3.479679 + 503 | -1.465279 1.876565 -0.78 0.435 -5.145265 2.214708 + 504 | .1025186 2.391192 0.04 0.966 -4.586661 4.791698 + 505 | -1.038915 2.142143 -0.48 0.628 -5.239706 3.161876 + 506 | 3.770593 3.870538 0.97 0.330 -3.819617 11.3608 + 508 | -1.433907 2.266916 -0.63 0.527 -5.879379 3.011566 + 529 | -2.793051 2.21926 -1.26 0.208 -7.14507 1.558968 + 530 | -1.210304 1.979374 -0.61 0.541 -5.0919 2.671293 + 599 | 1.331642 3.447518 0.39 0.699 -5.429016 8.092301 + 600 | .1509321 2.421107 0.06 0.950 -4.596913 4.898777 + 601 | .2268965 2.005941 0.11 0.910 -3.706798 4.160591 + 602 | -.5835294 2.014655 -0.29 0.772 -4.534313 3.367254 + 603 | .2475169 2.667809 0.09 0.926 -4.984117 5.47915 + 604 | 1.71422 3.943396 0.43 0.664 -6.018867 9.447307 + 606 | -1.216773 2.436065 -0.50 0.617 -5.99395 3.560404 + 607 | -.3509442 2.104932 -0.17 0.868 -4.478762 3.776874 + 609 | 3.004178 3.579 0.84 0.401 -4.01432 10.02268 + 698 | -1.765222 3.733639 -0.47 0.636 -9.086971 5.556526 + 699 | -1.583108 2.243475 -0.71 0.480 -5.982612 2.816397 + 700 | -1.246469 2.136393 -0.58 0.560 -5.435984 2.943045 + 701 | -.5774974 2.227205 -0.26 0.795 -4.945096 3.790101 + 703 | 1.394867 2.316413 0.60 0.547 -3.14767 5.937404 + 704 | -1.563291 2.035728 -0.77 0.443 -5.555399 2.428817 + 705 | -.799279 2.071813 -0.39 0.700 -4.862151 3.263593 + 707 | 1.329473 3.054733 0.44 0.663 -4.660926 7.319873 + 708 | -1.377674 3.206548 -0.43 0.667 -7.665786 4.910438 + 709 | -1.418041 1.989297 -0.71 0.476 -5.319096 2.483014 + 710 | -2.914322 1.996329 -1.46 0.144 -6.829167 1.000524 + 711 | -2.274727 2.055102 -1.11 0.268 -6.304827 1.755373 + 798 | -2.075912 2.688011 -0.77 0.440 -7.347161 3.195336 + 799 | -4.443449 2.186706 -2.03 0.042 -8.731627 -.1552701 + 800 | -.5217763 2.318321 -0.23 0.822 -5.068055 4.024502 + 801 | -2.745774 2.20729 -1.24 0.214 -7.074319 1.582771 + 802 | -2.892572 2.048924 -1.41 0.158 -6.910557 1.125413 + 803 | -1.475245 1.966992 -0.75 0.453 -5.332561 2.38207 + 805 | -1.627868 2.992781 -0.54 0.587 -7.496778 4.241041 + 806 | -1.825409 2.047401 -0.89 0.373 -5.840408 2.189589 + 807 | -.9257094 2.274503 -0.41 0.684 -5.386061 3.534642 + 898 | -1.964326 2.998998 -0.65 0.513 -7.845429 3.916776 + 899 | 1.318395 6.951833 0.19 0.850 -12.3143 14.95109 + 1000 | -.7306535 2.24683 -0.33 0.745 -5.136736 3.67543 + 1001 | -.1054481 2.220622 -0.05 0.962 -4.460138 4.249242 + 1002 | .0697226 2.082862 0.03 0.973 -4.014817 4.154262 + 1003 | -1.453981 1.970657 -0.74 0.461 -5.318483 2.410521 + 1005 | .3177107 2.179609 0.15 0.884 -3.956551 4.591973 + 1006 | .4340367 2.136383 0.20 0.839 -3.755457 4.623531 + 1007 | -.9817356 2.072139 -0.47 0.636 -5.045246 3.081775 + 1010 | .5733414 3.246697 0.18 0.860 -5.793504 6.940187 + 1098 | 6.485568 6.143976 1.06 0.291 -5.562905 18.53404 + 1099 | -3.358115 3.056429 -1.10 0.272 -9.351841 2.635611 + 1200 | 3.486581 3.391271 1.03 0.304 -3.163776 10.13694 + 1201 | .1153931 2.280888 0.05 0.960 -4.357479 4.588265 + 1202 | 2.035173 2.831151 0.72 0.472 -3.516777 7.587123 + 1203 | .0549809 2.125777 0.03 0.979 -4.113715 4.223677 + 1204 | .3425356 2.166265 0.16 0.874 -3.905558 4.590629 + 1205 | -1.955556 2.113856 -0.93 0.355 -6.100874 2.189763 + 1206 | -.3495239 2.852402 -0.12 0.902 -5.943147 5.2441 + 1207 | -2.448851 2.024012 -1.21 0.226 -6.417983 1.520281 + 1208 | -.2317803 2.017753 -0.11 0.909 -4.188638 3.725078 + 1209 | .8319968 1.997536 0.42 0.677 -3.085216 4.749209 + 1210 | -1.230048 1.993875 -0.62 0.537 -5.140081 2.679985 + 1211 | -2.321869 2.07527 -1.12 0.263 -6.39152 1.747782 + 1299 | -4.372108 2.338052 -1.87 0.062 -8.95708 .2128637 + 1300 | 1.639651 2.420316 0.68 0.498 -3.106643 6.385944 + 1301 | -.367081 2.640061 -0.14 0.889 -5.5443 4.810138 + 1302 | -.718144 2.243356 -0.32 0.749 -5.117415 3.681127 + 1303 | -1.486765 1.95058 -0.76 0.446 -5.311895 2.338365 + 1304 | 1.03608 2.13939 0.48 0.628 -3.15931 5.231471 + 1305 | -1.125461 2.129594 -0.53 0.597 -5.301642 3.050719 + 1399 | 2.088307 3.510791 0.59 0.552 -4.796432 8.973046 + 1400 | 1.935957 2.405015 0.80 0.421 -2.780331 6.652245 + 1401 | -.4700617 2.266458 -0.21 0.836 -4.914636 3.974512 + 1403 | -.5145523 2.345844 -0.22 0.826 -5.114804 4.085699 + 1404 | -1.412752 2.557855 -0.55 0.581 -6.428762 3.603259 + 1405 | -1.52068 2.370314 -0.64 0.521 -6.168918 3.127558 + 1406 | -1.362662 2.150963 -0.63 0.526 -5.580748 2.855423 + 1407 | 4.886231 3.311609 1.48 0.140 -1.607909 11.38037 + 1408 | -3.062918 2.227435 -1.38 0.169 -7.430968 1.305132 + 1409 | -3.798573 2.057104 -1.85 0.065 -7.8326 .2354535 + 1410 | .2883121 2.357835 0.12 0.903 -4.335455 4.912079 + 1499 | -3.073503 2.271774 -1.35 0.176 -7.528502 1.381497 + 1500 | -.920014 2.308579 -0.40 0.690 -5.447188 3.60716 + 1501 | -1.23187 2.029292 -0.61 0.544 -5.211358 2.747617 + 1502 | 1.050782 2.221227 0.47 0.636 -3.305094 5.406659 + 1504 | -2.921272 1.981688 -1.47 0.141 -6.807405 .9648619 + 1505 | -1.360003 2.19282 -0.62 0.535 -5.660171 2.940166 + 1507 | -3.096993 2.207193 -1.40 0.161 -7.425348 1.231361 + 1520 | 1.391064 2.616673 0.53 0.595 -3.74029 6.522418 + 1521 | .3904788 2.083676 0.19 0.851 -3.695656 4.476614 + 1522 | 4.993106 3.253234 1.53 0.125 -1.386558 11.37277 + 1523 | -2.103567 1.991968 -1.06 0.291 -6.009861 1.802727 + 1524 | -.8801686 2.766877 -0.32 0.750 -6.306075 4.545738 + 1525 | .1662247 2.15605 0.08 0.939 -4.061836 4.394286 + 1526 | 1.535775 2.32044 0.66 0.508 -3.01466 6.08621 + 1599 | -.0261477 2.208586 -0.01 0.991 -4.357234 4.304938 + 1600 | 5.156295 3.251188 1.59 0.113 -1.219357 11.53195 + 1602 | 6.172086 4.244712 1.45 0.146 -2.151888 14.49606 + 1603 | 2.328386 3.431688 0.68 0.498 -4.40123 9.058002 + 1604 | 1.390954 3.240457 0.43 0.668 -4.963654 7.745561 + 1605 | -1.057396 2.32672 -0.45 0.650 -5.620146 3.505354 + 1606 | 7.653777 5.236685 1.46 0.144 -2.615479 17.92303 + 1608 | .0083844 1.987962 0.00 0.997 -3.890052 3.906821 + 1609 | 1.388483 2.026389 0.69 0.493 -2.58531 5.362277 + 1610 | 3.087708 3.095807 1.00 0.319 -2.983238 9.158653 + 1611 | -2.917502 2.147752 -1.36 0.174 -7.12929 1.294287 + 1612 | -1.021546 2.180518 -0.47 0.639 -5.297591 3.254499 + 1614 | -3.066251 2.414519 -1.27 0.204 -7.801176 1.668675 + 1615 | 1.248227 2.242693 0.56 0.578 -3.149743 5.646197 + 1616 | -4.556093 2.053769 -2.22 0.027 -8.583579 -.5286059 + 1617 | -2.805346 2.438387 -1.15 0.250 -7.587077 1.976384 + 1619 | 2.579232 2.676682 0.96 0.335 -2.669801 7.828264 + 1620 | -5.156856 2.41858 -2.13 0.033 -9.899746 -.4139661 + 1698 | -5.934535 2.304296 -2.58 0.010 -10.45331 -1.415759 + 1699 | .6689622 2.284469 0.29 0.770 -3.810933 5.148857 + 1700 | 4.468921 3.552358 1.26 0.209 -2.497331 11.43517 + 1701 | -.4720493 2.911754 -0.16 0.871 -6.182063 5.237964 + 1704 | 5.803647 5.068485 1.15 0.252 -4.135764 15.74306 + 1705 | -4.000442 2.597974 -1.54 0.124 -9.095126 1.094242 + 1706 | -2.327092 2.045734 -1.14 0.255 -6.338821 1.684637 + 1707 | .4449751 2.229729 0.20 0.842 -3.927573 4.817523 + 1708 | 1.700238 3.25453 0.52 0.601 -4.681967 8.082443 + 1709 | .9413265 2.11077 0.45 0.656 -3.197941 5.080594 + 1798 | -2.409807 2.310529 -1.04 0.297 -6.940806 2.121192 + 1799 | -1.111906 6.181395 -0.18 0.857 -13.23376 11.00995 + 1800 | -1.774071 2.151877 -0.82 0.410 -5.99395 2.445808 + 1802 | 2.580932 2.290018 1.13 0.260 -1.909844 7.071707 + 1803 | .7981269 2.713485 0.29 0.769 -4.523077 6.119331 + 1804 | -.8265736 2.5316 -0.33 0.744 -5.791098 4.137951 + 1806 | -.0505266 2.854368 -0.02 0.986 -5.648006 5.546952 + 1807 | -4.835727 1.919657 -2.52 0.012 -8.600217 -1.071236 + 1808 | 4.055946 6.051277 0.67 0.503 -7.810743 15.92263 + 1899 | 3.097685 7.386261 0.42 0.675 -11.38694 17.58231 + 1900 | -1.972815 2.476368 -0.80 0.426 -6.829027 2.883397 + 1901 | -.2153414 2.139605 -0.10 0.920 -4.411154 3.980471 + 1902 | -1.673761 2.359417 -0.71 0.478 -6.30063 2.953108 + 1905 | 7.328836 4.691654 1.56 0.118 -1.871602 16.52927 + 1906 | .5280643 2.330932 0.23 0.821 -4.042944 5.099073 + 1907 | 4.72511 3.394364 1.39 0.164 -1.931314 11.38153 + 1908 | .8979217 3.677011 0.24 0.807 -6.312778 8.108621 + 1909 | .9174701 3.083009 0.30 0.766 -5.128379 6.963319 + 1910 | .0550634 2.886026 0.02 0.985 -5.604498 5.714625 + 1911 | -3.558323 2.567201 -1.39 0.166 -8.592662 1.476016 + 1912 | -5.670913 2.000163 -2.84 0.005 -9.593277 -1.74855 + 1914 | .908285 2.616755 0.35 0.729 -4.22323 6.0398 + 1915 | .1675439 5.003609 0.03 0.973 -9.644645 9.979733 + 1919 | -1.016286 2.663998 -0.38 0.703 -6.240445 4.207873 + 1920 | -1.469075 2.835728 -0.52 0.604 -7.03 4.09185 + 1925 | 2.757322 2.563895 1.08 0.282 -2.270533 7.785177 + 1926 | .2153145 2.364462 0.09 0.927 -4.421448 4.852077 + 1927 | -1.397389 2.394463 -0.58 0.560 -6.092983 3.298206 + 1929 | -.4448508 2.403192 -0.19 0.853 -5.157563 4.267861 + 1999 | -3.127529 2.790191 -1.12 0.262 -8.599156 2.344097 + 2000 | -2.618991 2.047193 -1.28 0.201 -6.633581 1.395599 + 2001 | -1.955259 2.037228 -0.96 0.337 -5.950308 2.03979 + 2002 | -.1106257 2.035783 -0.05 0.957 -4.102841 3.88159 + 2003 | -1.133257 2.254769 -0.50 0.615 -5.554909 3.288395 + 2004 | -1.898049 1.978111 -0.96 0.337 -5.777168 1.981071 + 2005 | 1.126301 2.987382 0.38 0.706 -4.732021 6.984623 + 2006 | .2880143 2.039529 0.14 0.888 -3.711547 4.287576 + 2007 | 1.614766 3.064978 0.53 0.598 -4.395724 7.625257 + 2008 | .6679502 1.955875 0.34 0.733 -3.167564 4.503464 + 2009 | -1.759338 2.237368 -0.79 0.432 -6.146867 2.62819 + 2011 | -1.928171 1.985588 -0.97 0.332 -5.821952 1.96561 + 2012 | -2.009675 1.967709 -1.02 0.307 -5.868396 1.849046 + 2013 | .3569026 2.497981 0.14 0.886 -4.541694 5.255499 + 2014 | -2.568158 2.313306 -1.11 0.267 -7.104604 1.968287 + 2015 | 1.17868 3.412901 0.35 0.730 -5.514095 7.871454 + 2030 | -.6926582 2.607898 -0.27 0.791 -5.806803 4.421487 + 2099 | -1.652521 2.399459 -0.69 0.491 -6.357914 3.052871 + 2100 | -2.209182 2.177567 -1.01 0.310 -6.479439 2.061075 + 2101 | -1.810897 1.94995 -0.93 0.353 -5.634793 2.012999 + 2102 | -2.442375 2.009349 -1.22 0.224 -6.382753 1.498003 + 2103 | -2.990085 1.969499 -1.52 0.129 -6.852315 .8721459 + 2104 | -2.767582 1.971939 -1.40 0.161 -6.634599 1.099435 + 2105 | -.3195376 2.517536 -0.13 0.899 -5.256481 4.617406 + 2199 | .6225113 6.157699 0.10 0.919 -11.45287 12.6979 + 9999 | -.4397814 2.62452 -0.17 0.867 -5.586524 4.706961 + | + house_administration | -.4771231 .5712083 -0.84 0.404 -1.597275 .643029 + house_agriculture | 1.04738 .4224692 2.48 0.013 .2189086 1.875851 + house_appropriations | -1.841632 1.020652 -1.80 0.071 -3.843154 .1598903 + house_armedservices | .427003 .4522258 0.94 0.345 -.4598218 1.313828 + house_budget | -.2315178 .7688487 -0.30 0.763 -1.739247 1.276211 + house_dc | 5.173683 3.479047 1.49 0.137 -1.648805 11.99617 + house_educlabor | .6761864 .3351245 2.02 0.044 .0189999 1.333373 + house_energycommerce | .186717 .2559209 0.73 0.466 -.3151495 .6885835 + house_foreignaffairs | .7694777 .6858182 1.12 0.262 -.575427 2.114382 + house_governmentop | -.0950403 .6647243 -0.14 0.886 -1.398579 1.208499 + house_intelligence | .3189276 2.189334 0.15 0.884 -3.974406 4.612261 + house_interior | 2.004807 .760095 2.64 0.008 .5142439 3.49537 + house_judiciary | .8155111 .3241109 2.52 0.012 .1799224 1.4511 + house_mmf | 2.858022 .7893625 3.62 0.000 1.310064 4.405979 + house_pocs | .3865007 .6129197 0.63 0.528 -.8154484 1.58845 + house_pwt | -.1787167 .5737815 -0.31 0.755 -1.303915 .9464815 + house_rules | .3333832 .4973237 0.67 0.503 -.6418797 1.308646 + house_sst | -1.154399 1.423992 -0.81 0.418 -3.94688 1.638081 + house_smallbusi | 1.797098 1.811234 0.99 0.321 -1.754772 5.348968 + house_soc | -.8371543 2.013833 -0.42 0.678 -4.786326 3.112017 + house_veterans | 1.473834 .5586388 2.64 0.008 .3783307 2.569337 + house_waysandmeans | -.5573296 .2079327 -2.68 0.007 -.9650903 -.149569 +house_naturalresources | -.7820299 .5403911 -1.45 0.148 -1.841749 .277689 + house_bfs | .9082874 .4415169 2.06 0.040 .0424631 1.774112 + house_eeo | .1211358 .9229797 0.13 0.896 -1.688848 1.93112 + house_govreform | 1.088833 .4091289 2.66 0.008 .2865223 1.891144 + house_ir | 2.473394 .7780189 3.18 0.001 .9476814 3.999106 + house_natsecur | 1.03376 1.178151 0.88 0.380 -1.276619 3.34414 + house_oversight | -1.189114 .4734568 -2.51 0.012 -2.117573 -.2606545 + house_resources | .0006578 .4074647 0.00 0.999 -.7983894 .7997051 + house_science | 2.420423 .7932281 3.05 0.002 .8648852 3.975961 + house_transp | 1.450515 .5006971 2.90 0.004 .4686366 2.432393 + house_homeland | .2528029 .7368354 0.34 0.732 -1.192148 1.697753 + sponsor_democrat | 0 (omitted) + sponsor_rookie | -.346401 .2622728 -1.32 0.187 -.8607238 .1679218 + sponsor_tenure_run | .0945899 .040301 2.35 0.019 .0155587 .173621 + sponsor_age | .0150847 .0103545 1.46 0.145 -.0052206 .03539 + leader | 1.494116 .341775 4.37 0.000 .8238876 2.164344 + ivycoll | -.1720749 .2878374 -0.60 0.550 -.7365303 .3923806 + black | -1.383071 1.340679 -1.03 0.302 -4.012173 1.246031 + occ0 | .1289827 .2826949 0.46 0.648 -.4253882 .6833536 + occ1 | -.0451076 .3772871 -0.12 0.905 -.7849759 .6947607 + occ2 | .7985012 .2647713 3.02 0.003 .2792789 1.317724 + occ3 | -.3535968 .366121 -0.97 0.334 -1.071568 .3643746 + occ4 | .5159863 .2552755 2.02 0.043 .0153853 1.016587 + borninstate | .5696707 .1993856 2.86 0.004 .1786711 .9606704 + tot_bills | -.0113703 .009667 -1.18 0.240 -.0303275 .0075868 + NE | -.2099196 .2907781 -0.72 0.470 -.780142 .3603028 + MW | .239421 .2832963 0.85 0.398 -.3161293 .7949713 + WE | -.0552461 .3286639 -0.17 0.867 -.6997632 .5892711 + pct_black | -.4203333 1.316237 -0.32 0.749 -3.001504 2.160837 + pct_urban | -.3968115 .6901499 -0.57 0.565 -1.750211 .9565879 + pct_for_born | 3.816998 1.853461 2.06 0.040 .1823202 7.451676 + pct_age_over65 | -2.080489 2.685541 -0.77 0.439 -7.346894 3.185916 + lninc | .7242824 .6418374 1.13 0.259 -.5343749 1.98294 + lnpden | -.029942 .1068179 -0.28 0.779 -.2394143 .1795303 + _cons | -2.670462 6.537576 -0.41 0.683 -15.49079 10.14987 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,244 1 0 1 1 + + +j = 2 k = 1 + + +rdbwselect_2014 pct_cosponsors_leader MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11989 +----------------------+---------------------- NN matches = 3 + Number of obs | 6150 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 24.12402 42.82562 .563308 +---------------------------------------------- +reg pct_cosponsors_leader sponsor_female i.v2 MV1_female femaleXMV1_female if tag_bill==1 & sample==1 & abs(MV1_female)<=24.1240150218449, robust cluster(group_spon +> sor) + +Linear regression Number of obs = 4,695 + F(13, 387) = 5.07 + Prob > F = 0.0000 + R-squared = 0.0172 + Root MSE = 9.1415 + + (Std. Err. adjusted for 388 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust +pct_cosponsors_~r | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.3612441 .7607088 -0.47 0.635 -1.856883 1.134395 + | + v2 | + 102 | .1667777 .9396475 0.18 0.859 -1.680675 2.014231 + 103 | -1.503824 .9809872 -1.53 0.126 -3.432556 .424907 + 104 | -1.448883 .995119 -1.46 0.146 -3.405399 .5076332 + 105 | -.2618258 .9967067 -0.26 0.793 -2.221464 1.697812 + 106 | -2.394599 .996186 -2.40 0.017 -4.353213 -.4359853 + 107 | -.1656445 1.000819 -0.17 0.869 -2.133368 1.802079 + 108 | -.6731259 1.028807 -0.65 0.513 -2.695877 1.349625 + 109 | -1.051026 1.118466 -0.94 0.348 -3.250055 1.148003 + 110 | .8189644 1.187057 0.69 0.491 -1.514923 3.152852 + 111 | -3.013217 .960384 -3.14 0.002 -4.90144 -1.124994 + | + MV1_female | -.0327836 .0329537 -0.99 0.320 -.0975743 .0320071 +femaleXMV1_female | .1239922 .0504105 2.46 0.014 .0248795 .223105 + _cons | 5.629134 .9827909 5.73 0.000 3.696857 7.561412 +----------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 388 1 0 1 1 + + +j = 2 k = 2 + + +rdbwselect_2014 pct_cosponsors_leader MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6186 +----------------------+---------------------- NN matches = 3 + Number of obs | 2192 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 25.43871 47.04334 .5407506 +---------------------------------------------- +reg pct_cosponsors_leader sponsor_female i.v2 MV1_female femaleXMV1_female if sponsor_party==100 & tag_bill==1 & sample==1 & abs(MV1_female)<=25.43871483852259, rob +> ust cluster(group_sponsor) + +Linear regression Number of obs = 1,980 + F(13, 167) = 2.83 + Prob > F = 0.0011 + R-squared = 0.0203 + Root MSE = 9.1823 + + (Std. Err. adjusted for 168 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust +pct_cosponsors_~r | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -2.238406 1.217044 -1.84 0.068 -4.641181 .1643679 + | + v2 | + 102 | -.1253973 1.248859 -0.10 0.920 -2.590984 2.340189 + 103 | -1.370733 1.193152 -1.15 0.252 -3.726339 .9848726 + 104 | -.1667222 1.395617 -0.12 0.905 -2.922048 2.588603 + 105 | .6061777 1.295115 0.47 0.640 -1.950731 3.163086 + 106 | -1.353532 1.40991 -0.96 0.338 -4.137077 1.430013 + 107 | .4756504 1.490885 0.32 0.750 -2.46776 3.419061 + 108 | -.4236239 1.187201 -0.36 0.722 -2.76748 1.920232 + 109 | .0338978 1.994168 0.02 0.986 -3.90313 3.970925 + 110 | .3629117 1.363343 0.27 0.790 -2.328696 3.05452 + 111 | -3.232027 1.235186 -2.62 0.010 -5.670618 -.7934359 + | + MV1_female | .0585937 .0576418 1.02 0.311 -.0552069 .1723942 +femaleXMV1_female | .0512471 .0770672 0.66 0.507 -.1009044 .2033986 + _cons | 6.949176 1.475092 4.71 0.000 4.036945 9.861408 +----------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 168 1 0 1 1 + + +j = 2 k = 3 + + +rdbwselect_2014 pct_cosponsors_leader MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 10.55892 17.44562 .6052474 +---------------------------------------------- +reg pct_cosponsors_leader sponsor_female i.v2 MV1_female femaleXMV1_female if sponsor_party==200 & tag_bill==1 & sample==1 & abs(MV1_female)<=10.55891754913446, rob +> ust cluster(group_sponsor) + +Linear regression Number of obs = 989 + F(13, 82) = 4.67 + Prob > F = 0.0000 + R-squared = 0.0373 + Root MSE = 8.574 + + (Std. Err. adjusted for 83 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust +pct_cosponsors_~r | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | 1.284864 1.739393 0.74 0.462 -2.175343 4.74507 + | + v2 | + 102 | -1.841181 1.858692 -0.99 0.325 -5.538712 1.856349 + 103 | -4.162551 2.100495 -1.98 0.051 -8.341106 .0160031 + 104 | -4.084411 1.777574 -2.30 0.024 -7.620571 -.5482504 + 105 | -3.552144 1.988858 -1.79 0.078 -7.508616 .4043273 + 106 | -5.857325 1.798592 -3.26 0.002 -9.435296 -2.279353 + 107 | -1.519241 1.931679 -0.79 0.434 -5.361966 2.323484 + 108 | -1.376616 1.934841 -0.71 0.479 -5.225631 2.472399 + 109 | -5.104892 2.005604 -2.55 0.013 -9.094676 -1.115107 + 110 | -2.611531 2.111492 -1.24 0.220 -6.811962 1.588901 + 111 | -5.270184 2.404882 -2.19 0.031 -10.05426 -.4861071 + | + MV1_female | -.1897927 .1142765 -1.66 0.101 -.4171251 .0375397 +femaleXMV1_female | .312572 .22686 1.38 0.172 -.1387247 .7638688 + _cons | 6.997429 1.809254 3.87 0.000 3.398245 10.59661 +----------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 83 1 0 1 1 + + +j = 3 k = 1 + + +rdbwselect_2014 pct_cosponsors_leader MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11989 +----------------------+---------------------- NN matches = 3 + Number of obs | 6150 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 24.12402 42.82562 .563308 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(50,601 missing values generated) +(56,627 missing values generated) +(6,026 real changes made) +reg pct_cosponsors_leader sponsor_female i.v2 MV1_female femaleXMV1_female i.minor house_* [aw=wt] if tag_bill==1 & sample==1 & abs(MV1_female)<=24.1240150218449, r +> obust cluster(group_sponsor) +(sum of wgt is 9,469.81150794029) + +Linear regression Number of obs = 4,695 + F(249, 387) = . + Prob > F = . + R-squared = 0.1151 + Root MSE = 8.8289 + + (Std. Err. adjusted for 388 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + pct_cosponsors_leader | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -.6065053 .7838264 -0.77 0.440 -2.147596 .9345857 + | + v2 | + 102 | .4499605 1.147757 0.39 0.695 -1.806659 2.70658 + 103 | -.5043635 1.172258 -0.43 0.667 -2.809156 1.800429 + 104 | -.6974081 1.209974 -0.58 0.565 -3.076354 1.681538 + 105 | .4570821 1.165143 0.39 0.695 -1.83372 2.747884 + 106 | -1.598973 1.223696 -1.31 0.192 -4.004897 .8069501 + 107 | 1.05089 1.30984 0.80 0.423 -1.524403 3.626183 + 108 | .4771627 1.302996 0.37 0.714 -2.084675 3.039 + 109 | .096701 1.223379 0.08 0.937 -2.3086 2.502002 + 110 | 1.559016 1.248804 1.25 0.213 -.8962747 4.014306 + 111 | -2.357896 1.150752 -2.05 0.041 -4.620403 -.0953881 + | + MV1_female | -.0218716 .0307194 -0.71 0.477 -.0822693 .0385261 + femaleXMV1_female | .0969877 .0501033 1.94 0.054 -.0015211 .1954965 + | + minor | + 101 | 2.391903 4.093621 0.58 0.559 -5.656618 10.44042 + 103 | -2.879432 2.671644 -1.08 0.282 -8.132186 2.373322 + 104 | 3.045169 3.35369 0.91 0.364 -3.548563 9.638901 + 105 | .0449851 3.189912 0.01 0.989 -6.226742 6.316712 + 107 | 1.550013 2.459344 0.63 0.529 -3.285334 6.385361 + 108 | 1.209379 3.480624 0.35 0.728 -5.63392 8.052679 + 200 | 1.033474 3.409053 0.30 0.762 -5.669109 7.736058 + 201 | .3886852 3.95418 0.10 0.922 -7.385679 8.163049 + 202 | 2.080921 3.990244 0.52 0.602 -5.76435 9.926191 + 204 | -.46581 2.847607 -0.16 0.870 -6.064526 5.132906 + 205 | 7.52834 3.335375 2.26 0.025 .9706154 14.08606 + 206 | 2.398022 2.8844 0.83 0.406 -3.273034 8.069078 + 207 | 9.076827 4.062973 2.23 0.026 1.088563 17.06509 + 208 | 4.767728 3.945062 1.21 0.228 -2.988708 12.52416 + 209 | -2.74785 2.674604 -1.03 0.305 -8.006423 2.510724 + 299 | 3.295307 2.75998 1.19 0.233 -2.131124 8.721739 + 300 | 1.785929 3.022027 0.59 0.555 -4.155717 7.727575 + 301 | 2.120437 2.740838 0.77 0.440 -3.268359 7.509232 + 302 | 3.929004 2.844706 1.38 0.168 -1.664009 9.522016 + 321 | 5.768252 3.456421 1.67 0.096 -1.027462 12.56397 + 322 | .7143697 2.756294 0.26 0.796 -4.704815 6.133554 + 323 | .1320153 2.880852 0.05 0.963 -5.532065 5.796096 + 324 | 2.592314 3.427608 0.76 0.450 -4.14675 9.331377 + 325 | 5.51443 3.026642 1.82 0.069 -.436289 11.46515 + 331 | 3.545397 2.89948 1.22 0.222 -2.155307 9.246101 + 332 | 1.710543 2.830156 0.60 0.546 -3.853862 7.274948 + 333 | 9.450053 3.561294 2.65 0.008 2.448146 16.45196 + 334 | 5.359345 3.620349 1.48 0.140 -1.758669 12.47736 + 335 | 1.411201 2.903654 0.49 0.627 -4.297711 7.120113 + 336 | 3.478426 2.892392 1.20 0.230 -2.208343 9.165195 + 341 | 7.451245 3.982273 1.87 0.062 -.3783526 15.28084 + 342 | 13.14757 8.721096 1.51 0.132 -3.999092 30.29422 + 343 | 6.386754 4.784361 1.33 0.183 -3.019839 15.79335 + 344 | 3.726544 2.894521 1.29 0.199 -1.964411 9.417498 + 398 | 2.749727 2.956369 0.93 0.353 -3.062828 8.562282 + 399 | -.7968547 2.988377 -0.27 0.790 -6.67234 5.078631 + 400 | -.9959983 3.135243 -0.32 0.751 -7.16024 5.168243 + 401 | -.2950103 3.292454 -0.09 0.929 -6.768346 6.178325 + 402 | -.0375233 3.114649 -0.01 0.990 -6.161274 6.086227 + 403 | -2.965054 2.805812 -1.06 0.291 -8.481596 2.551489 + 404 | 5.745686 3.661194 1.57 0.117 -1.452634 12.94401 + 405 | 3.703172 4.984557 0.74 0.458 -6.097029 13.50337 + 498 | -4.695186 3.289646 -1.43 0.154 -11.163 1.772628 + 499 | -1.229437 3.273051 -0.38 0.707 -7.664624 5.20575 + 500 | 29.19219 15.68259 1.86 0.063 -1.641548 60.02593 + 501 | 11.04043 6.76372 1.63 0.103 -2.257809 24.33866 + 502 | 1.198512 2.990798 0.40 0.689 -4.681733 7.078758 + 503 | 1.528254 2.624032 0.58 0.561 -3.630889 6.687397 + 504 | 3.1923 3.487832 0.92 0.361 -3.665171 10.04977 + 505 | -.3384921 2.889005 -0.12 0.907 -6.018602 5.341618 + 506 | -.0735658 3.252984 -0.02 0.982 -6.469298 6.322167 + 508 | 4.559337 3.064687 1.49 0.138 -1.466182 10.58486 + 530 | 3.633785 2.805249 1.30 0.196 -1.881651 9.149221 + 599 | 1.011256 4.437825 0.23 0.820 -7.714009 9.736521 + 600 | 4.329243 4.274333 1.01 0.312 -4.074578 12.73306 + 601 | 2.866328 2.89699 0.99 0.323 -2.829481 8.562137 + 602 | 2.345886 2.650192 0.89 0.377 -2.86469 7.556462 + 603 | 2.095029 3.478364 0.60 0.547 -4.743827 8.933885 + 604 | -3.446836 2.772254 -1.24 0.214 -8.8974 2.003728 + 606 | -.0769844 3.118159 -0.02 0.980 -6.207637 6.053668 + 607 | -.4198839 2.734417 -0.15 0.878 -5.796056 4.956288 + 609 | 7.913665 8.079577 0.98 0.328 -7.971695 23.79903 + 698 | -2.941684 2.828792 -1.04 0.299 -8.503409 2.62004 + 699 | 1.936913 3.10824 0.62 0.534 -4.174238 8.048064 + 700 | 1.385602 3.533233 0.39 0.695 -5.561133 8.332338 + 701 | .7479316 3.071549 0.24 0.808 -5.291081 6.786944 + 703 | 1.170232 3.856689 0.30 0.762 -6.412453 8.752917 + 704 | 3.091765 3.08766 1.00 0.317 -2.978924 9.162453 + 705 | .3668261 3.084901 0.12 0.905 -5.698438 6.43209 + 707 | 1.774806 2.783312 0.64 0.524 -3.6975 7.247112 + 708 | -4.438969 2.689311 -1.65 0.100 -9.726457 .8485184 + 709 | 2.083153 2.842415 0.73 0.464 -3.505355 7.671662 + 710 | 2.587443 2.808398 0.92 0.357 -2.934184 8.10907 + 711 | -2.237208 2.536067 -0.88 0.378 -7.223402 2.748986 + 798 | -5.185169 2.790009 -1.86 0.064 -10.67064 .3003027 + 799 | 12.0199 7.947222 1.51 0.131 -3.605234 27.64503 + 800 | .5456017 3.093844 0.18 0.860 -5.537245 6.628448 + 801 | 3.19309 4.507227 0.71 0.479 -5.668627 12.05481 + 802 | -.6146436 3.051143 -0.20 0.840 -6.613534 5.384247 + 803 | -.3654151 2.664451 -0.14 0.891 -5.604025 4.873195 + 805 | -3.634782 2.785239 -1.31 0.193 -9.110876 1.841313 + 806 | -.9791287 2.554838 -0.38 0.702 -6.002229 4.043971 + 807 | 2.623934 2.987632 0.88 0.380 -3.250087 8.497956 + 898 | -6.484732 2.850248 -2.28 0.023 -12.08864 -.8808228 + 899 | 3.484225 3.096265 1.13 0.261 -2.603381 9.571831 + 1000 | 5.024153 4.57559 1.10 0.273 -3.971972 14.02028 + 1001 | 4.290447 4.450018 0.96 0.336 -4.45879 13.03968 + 1002 | 1.167011 2.85001 0.41 0.682 -4.436429 6.770452 + 1003 | 3.536831 2.94765 1.20 0.231 -2.258582 9.332245 + 1005 | 1.49855 3.910164 0.38 0.702 -6.189273 9.186373 + 1006 | 4.110012 2.864171 1.43 0.152 -1.521271 9.741294 + 1007 | .2018823 2.842042 0.07 0.943 -5.385893 5.789657 + 1010 | .5419828 3.326621 0.16 0.871 -5.998528 7.082494 + 1098 | -7.510435 2.787583 -2.69 0.007 -12.99114 -2.029732 + 1099 | -3.703416 2.658954 -1.39 0.164 -8.93122 1.524387 + 1200 | 1.289123 5.123167 0.25 0.801 -8.783602 11.36185 + 1201 | 1.730022 3.277417 0.53 0.598 -4.713748 8.173793 + 1202 | .9591627 3.571428 0.27 0.788 -6.062667 7.980992 + 1203 | 2.249899 3.157266 0.71 0.477 -3.957642 8.457441 + 1204 | -.1027879 2.841046 -0.04 0.971 -5.688606 5.48303 + 1205 | -.2096638 2.793972 -0.08 0.940 -5.702928 5.283601 + 1206 | 1.882461 3.177082 0.59 0.554 -4.36404 8.128962 + 1207 | 2.989581 2.957569 1.01 0.313 -2.825333 8.804495 + 1208 | 1.416017 2.717905 0.52 0.603 -3.927691 6.759725 + 1209 | 5.668653 3.018991 1.88 0.061 -.267023 11.60433 + 1210 | 1.145483 3.08816 0.37 0.711 -4.926188 7.217154 + 1211 | 3.469854 3.531345 0.98 0.326 -3.473168 10.41288 + 1299 | -3.551293 2.638194 -1.35 0.179 -8.738281 1.635695 + 1300 | 4.985303 3.498836 1.42 0.155 -1.893804 11.86441 + 1301 | 4.023584 3.796549 1.06 0.290 -3.440859 11.48803 + 1302 | 6.417951 4.931442 1.30 0.194 -3.277821 16.11372 + 1303 | 1.605685 2.632226 0.61 0.542 -3.569567 6.780937 + 1304 | 5.643971 3.492399 1.62 0.107 -1.22248 12.51042 + 1305 | -.1155174 2.925593 -0.04 0.969 -5.867562 5.636527 + 1399 | -1.437128 2.731613 -0.53 0.599 -6.807787 3.933531 + 1400 | 5.278018 5.238683 1.01 0.314 -5.021823 15.57786 + 1401 | 1.098332 2.834851 0.39 0.699 -4.475305 6.671969 + 1403 | 4.181668 2.805491 1.49 0.137 -1.334243 9.697579 + 1404 | 11.87338 3.56384 3.33 0.001 4.866467 18.88029 + 1405 | 4.238559 4.002342 1.06 0.290 -3.630498 12.10762 + 1406 | 17.2322 8.287175 2.08 0.038 .9386783 33.52572 + 1407 | 6.849053 3.369982 2.03 0.043 .2232887 13.47482 + 1408 | 4.156887 3.25467 1.28 0.202 -2.242162 10.55594 + 1409 | 1.600234 2.969226 0.54 0.590 -4.237599 7.438067 + 1410 | 1.960363 3.499508 0.56 0.576 -4.920064 8.840791 + 1499 | -3.584874 2.708143 -1.32 0.186 -8.909387 1.73964 + 1500 | .7688628 2.941361 0.26 0.794 -5.014184 6.551909 + 1501 | 1.976882 2.923426 0.68 0.499 -3.770903 7.724668 + 1502 | 3.147913 2.958787 1.06 0.288 -2.669396 8.965222 + 1504 | .1409776 2.788561 0.05 0.960 -5.341648 5.623603 + 1505 | 1.419576 3.073522 0.46 0.644 -4.623315 7.462468 + 1507 | 1.606909 3.340694 0.48 0.631 -4.961271 8.17509 + 1520 | 1.503081 3.754272 0.40 0.689 -5.878241 8.884403 + 1521 | .4582207 2.69202 0.17 0.865 -4.834595 5.751036 + 1522 | 9.717106 8.625063 1.13 0.261 -7.240741 26.67495 + 1523 | 2.063919 3.032403 0.68 0.497 -3.898127 8.025966 + 1524 | -2.430171 2.717674 -0.89 0.372 -7.773425 2.913083 + 1525 | -.7432179 2.89229 -0.26 0.797 -6.429786 4.94335 + 1526 | .8061064 3.335158 0.24 0.809 -5.751191 7.363403 + 1599 | -.2393464 2.790363 -0.09 0.932 -5.725514 5.246821 + 1600 | 8.516881 5.178936 1.64 0.101 -1.665491 18.69925 + 1603 | 4.711323 4.434554 1.06 0.289 -4.007511 13.43016 + 1604 | 2.981216 3.615803 0.82 0.410 -4.12786 10.09029 + 1605 | 9.15108 5.190039 1.76 0.079 -1.053122 19.35528 + 1606 | 2.303678 2.941462 0.78 0.434 -3.479569 8.086925 + 1608 | 3.900765 2.812209 1.39 0.166 -1.628355 9.429885 + 1609 | 6.012319 2.972285 2.02 0.044 .1684716 11.85617 + 1610 | 3.55793 5.049376 0.70 0.481 -6.369711 13.48557 + 1611 | -.6336814 2.955999 -0.21 0.830 -6.445508 5.178145 + 1612 | 9.979834 4.00641 2.49 0.013 2.10278 17.85689 + 1614 | -4.228519 2.623983 -1.61 0.108 -9.387565 .9305265 + 1615 | 2.437654 3.366382 0.72 0.469 -4.181033 9.056341 + 1616 | 3.799727 4.691588 0.81 0.418 -5.424463 13.02392 + 1617 | 7.497844 3.349896 2.24 0.026 .9115706 14.08412 + 1619 | 9.882448 4.820593 2.05 0.041 .4046186 19.36028 + 1620 | -1.366553 2.641985 -0.52 0.605 -6.560994 3.827888 + 1698 | -3.991084 2.788575 -1.43 0.153 -9.473738 1.491569 + 1699 | 4.921908 4.469318 1.10 0.271 -3.865275 13.70909 + 1700 | -4.280926 3.995762 -1.07 0.285 -12.13704 3.575193 + 1701 | -.3412867 4.013323 -0.09 0.932 -8.231933 7.54936 + 1704 | 5.118236 5.61268 0.91 0.362 -5.916926 16.1534 + 1706 | .7146619 3.25279 0.22 0.826 -5.68069 7.110014 + 1707 | -.5933022 2.874163 -0.21 0.837 -6.24423 5.057626 + 1708 | 10.52401 7.124068 1.48 0.140 -3.482706 24.53074 + 1709 | 8.694971 3.427251 2.54 0.012 1.956609 15.43333 + 1798 | -2.752762 2.746107 -1.00 0.317 -8.151917 2.646394 + 1799 | -9.551963 2.782851 -3.43 0.001 -15.02336 -4.080564 + 1800 | .1749797 3.043562 0.06 0.954 -5.809006 6.158965 + 1802 | 1.485553 2.857268 0.52 0.603 -4.132158 7.103264 + 1803 | 3.930856 5.342889 0.74 0.462 -6.573866 14.43558 + 1804 | -.937314 2.870919 -0.33 0.744 -6.581865 4.707237 + 1806 | 5.799981 5.103971 1.14 0.257 -4.235001 15.83496 + 1807 | -.7430898 2.693128 -0.28 0.783 -6.038083 4.551904 + 1808 | -3.626587 2.726975 -1.33 0.184 -8.988128 1.734954 + 1900 | 2.834058 3.763873 0.75 0.452 -4.56614 10.23426 + 1901 | 1.51224 3.49068 0.43 0.665 -5.35083 8.375309 + 1902 | .0429409 3.037344 0.01 0.989 -5.928821 6.014703 + 1905 | 20.9688 11.20048 1.87 0.062 -1.052601 42.99019 + 1906 | 8.726801 4.45282 1.96 0.051 -.0279463 17.48155 + 1907 | 11.64872 7.502237 1.55 0.121 -3.101523 26.39897 + 1908 | 4.469077 4.302871 1.04 0.300 -3.990852 12.92901 + 1909 | 11.01875 3.377522 3.26 0.001 4.378163 17.65934 + 1910 | 5.983123 2.965576 2.02 0.044 .1524665 11.81378 + 1911 | 3.307095 4.652685 0.71 0.478 -5.840607 12.4548 + 1912 | 1.883735 3.4455 0.55 0.585 -4.890506 8.657976 + 1914 | 5.614192 4.369058 1.28 0.200 -2.97587 14.20425 + 1915 | 5.771405 2.744538 2.10 0.036 .3753339 11.16748 + 1919 | 1.895839 3.647393 0.52 0.604 -5.275347 9.067025 + 1920 | 4.829148 3.503025 1.38 0.169 -2.058195 11.71649 + 1925 | 6.233313 3.36822 1.85 0.065 -.3889869 12.85561 + 1926 | 5.204398 3.190255 1.63 0.104 -1.068002 11.4768 + 1927 | 3.087712 3.710497 0.83 0.406 -4.207543 10.38297 + 1929 | 2.207311 3.370345 0.65 0.513 -4.419168 8.83379 + 1999 | -4.55464 2.868257 -1.59 0.113 -10.19396 1.084677 + 2000 | -1.181252 3.06774 -0.39 0.700 -7.212775 4.850271 + 2001 | -1.133418 3.03486 -0.37 0.709 -7.100296 4.83346 + 2002 | 4.532954 3.237593 1.40 0.162 -1.832519 10.89843 + 2003 | 4.549221 3.015211 1.51 0.132 -1.379023 10.47747 + 2004 | 1.146426 2.770643 0.41 0.679 -4.30097 6.593822 + 2005 | 4.055377 3.525459 1.15 0.251 -2.876073 10.98683 + 2006 | -.5034513 2.927417 -0.17 0.864 -6.259083 5.252181 + 2007 | -.9279347 3.021548 -0.31 0.759 -6.86864 5.01277 + 2008 | 2.359912 2.715792 0.87 0.385 -2.979641 7.699465 + 2009 | 1.871736 3.999452 0.47 0.640 -5.991638 9.735109 + 2011 | -.9780311 2.751278 -0.36 0.722 -6.387355 4.431292 + 2012 | 1.287039 2.839092 0.45 0.651 -4.294935 6.869013 + 2013 | 6.586829 4.301517 1.53 0.127 -1.870438 15.0441 + 2014 | -.3567129 4.004039 -0.09 0.929 -8.229106 7.51568 + 2015 | -1.313631 3.135132 -0.42 0.675 -7.477654 4.850391 + 2030 | 8.833776 3.3117 2.67 0.008 2.3226 15.34495 + 2099 | 11.65189 7.611207 1.53 0.127 -3.312604 26.61638 + 2100 | -1.470194 3.470994 -0.42 0.672 -8.29456 5.354172 + 2101 | 1.208894 2.850557 0.42 0.672 -4.395623 6.813411 + 2102 | -.2060209 2.74084 -0.08 0.940 -5.594822 5.18278 + 2103 | .3739056 2.725806 0.14 0.891 -4.985337 5.733148 + 2104 | 1.669486 3.026304 0.55 0.582 -4.280569 7.619541 + 2105 | .9552985 3.259678 0.29 0.770 -5.453595 7.364192 + 9999 | 1.422436 4.141205 0.34 0.731 -6.719639 9.564512 + | + house_administration | .4741481 1.183549 0.40 0.689 -1.852842 2.801138 + house_agriculture | 1.398445 .8619738 1.62 0.106 -.2962924 3.093183 + house_appropriations | 1.629551 2.528289 0.64 0.520 -3.34135 6.600452 + house_armedservices | -1.027987 .7711924 -1.33 0.183 -2.544239 .488264 + house_budget | .7862665 1.324018 0.59 0.553 -1.816902 3.389435 + house_dc | 2.475817 2.729033 0.91 0.365 -2.889769 7.841404 + house_educlabor | .3149828 .5540418 0.57 0.570 -.7743258 1.404291 + house_energycommerce | .2091409 .5201302 0.40 0.688 -.8134938 1.231776 + house_foreignaffairs | -1.128967 1.249929 -0.90 0.367 -3.586469 1.328534 + house_governmentop | .8930926 1.60264 0.56 0.578 -2.257878 4.044063 + house_intelligence | 4.84018 3.837854 1.26 0.208 -2.705475 12.38583 + house_interior | 1.459019 1.217992 1.20 0.232 -.93569 3.853727 + house_judiciary | -.8828907 .5190503 -1.70 0.090 -1.903402 .1376208 + house_mmf | 3.399438 1.975304 1.72 0.086 -.4842333 7.283109 + house_pocs | -2.67152 .9426134 -2.83 0.005 -4.524804 -.8182356 + house_pwt | -2.701358 .8743638 -3.09 0.002 -4.420456 -.9822603 + house_rules | .1364962 1.104294 0.12 0.902 -2.034671 2.307663 + house_sst | -.7388874 2.979124 -0.25 0.804 -6.596181 5.118407 + house_smallbusi | 1.925238 1.792403 1.07 0.283 -1.598828 5.449303 + house_soc | 1.186683 4.335996 0.27 0.784 -7.338374 9.711741 + house_veterans | -1.405447 .8286375 -1.70 0.091 -3.034642 .223748 + house_waysandmeans | -1.350396 .4023442 -3.36 0.001 -2.141451 -.5593423 +house_naturalresources | -1.817746 1.058081 -1.72 0.087 -3.898052 .2625596 + house_bfs | -.191382 .9058572 -0.21 0.833 -1.972399 1.589635 + house_eeo | -.6292126 1.074836 -0.59 0.559 -2.742462 1.484037 + house_govreform | -.0866081 1.03424 -0.08 0.933 -2.120041 1.946824 + house_ir | -.3687192 1.540806 -0.24 0.811 -3.398118 2.66068 + house_natsecur | -1.447384 2.621496 -0.55 0.581 -6.601541 3.706774 + house_oversight | -1.023751 1.01367 -1.01 0.313 -3.016741 .9692396 + house_resources | -.6980576 .7869118 -0.89 0.376 -2.245215 .8490997 + house_science | 4.67215 1.5061 3.10 0.002 1.710988 7.633312 + house_transp | -1.584159 .5941464 -2.67 0.008 -2.752318 -.416 + house_homeland | 2.21597 1.909671 1.16 0.247 -1.538658 5.970598 + _cons | 3.489708 2.882638 1.21 0.227 -2.177884 9.157301 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 388 1 0 1 1 + + +j = 3 k = 2 + + +rdbwselect_2014 pct_cosponsors_leader MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6186 +----------------------+---------------------- NN matches = 3 + Number of obs | 2192 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 25.43871 47.04334 .5407506 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(56,209 missing values generated) +(58,378 missing values generated) +(2,169 real changes made) +reg pct_cosponsors_leader sponsor_female i.v2 MV1_female femaleXMV1_female i.minor house_* [aw=wt] if sponsor_party==100 & tag_bill==1 & sample==1 & abs(MV1_female) +> <=25.43871483852259, robust cluster(group_sponsor) +(sum of wgt is 6,228.70016682148) + +Linear regression Number of obs = 1,980 + F(167, 167) = . + Prob > F = . + R-squared = 0.2263 + Root MSE = 10.198 + + (Std. Err. adjusted for 168 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + pct_cosponsors_leader | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -1.247759 1.299715 -0.96 0.338 -3.813748 1.31823 + | + v2 | + 102 | 1.343487 1.482397 0.91 0.366 -1.583166 4.27014 + 103 | .7579308 1.481542 0.51 0.610 -2.167034 3.682896 + 104 | -.0480262 1.61764 -0.03 0.976 -3.241686 3.145634 + 105 | 2.068531 1.540803 1.34 0.181 -.9734323 5.110494 + 106 | -.9190455 1.566646 -0.59 0.558 -4.012029 2.173938 + 107 | 2.508251 1.908724 1.31 0.191 -1.260088 6.27659 + 108 | .3646252 1.389671 0.26 0.793 -2.378962 3.108213 + 109 | 2.22477 1.749593 1.27 0.205 -1.229401 5.678942 + 110 | 2.055453 1.630154 1.26 0.209 -1.162912 5.273819 + 111 | -1.629555 1.423451 -1.14 0.254 -4.439833 1.180723 + | + MV1_female | -.0416292 .0622826 -0.67 0.505 -.1645918 .0813335 + femaleXMV1_female | .1749146 .0903536 1.94 0.055 -.0034678 .353297 + | + minor | + 104 | 4.254537 4.722186 0.90 0.369 -5.068338 13.57741 + 105 | 1.503935 2.117861 0.71 0.479 -2.677297 5.685167 + 107 | 4.478425 1.344762 3.33 0.001 1.823501 7.133348 + 108 | 6.506037 1.20735 5.39 0.000 4.122402 8.889672 + 200 | .7301115 1.708776 0.43 0.670 -2.643476 4.103699 + 202 | 2.755356 3.617454 0.76 0.447 -4.386478 9.89719 + 205 | 6.101507 1.743844 3.50 0.001 2.658686 9.544327 + 206 | .5930246 1.485926 0.40 0.690 -2.340597 3.526646 + 207 | 11.02957 1.647519 6.69 0.000 7.77692 14.28222 + 208 | 4.395823 1.912131 2.30 0.023 .6207569 8.170888 + 300 | 5.520821 2.299582 2.40 0.017 .9808236 10.06082 + 301 | 3.274128 2.031574 1.61 0.109 -.7367503 7.285006 + 302 | 7.478608 2.241385 3.34 0.001 3.053506 11.90371 + 321 | 7.908025 3.590306 2.20 0.029 .8197883 14.99626 + 322 | 4.082697 1.960013 2.08 0.039 .2131007 7.952293 + 323 | 4.726334 2.152285 2.20 0.029 .477141 8.975528 + 324 | 7.311045 1.06311 6.88 0.000 5.212178 9.409912 + 325 | 9.90883 3.149035 3.15 0.002 3.691782 16.12588 + 331 | 8.031036 2.9055 2.76 0.006 2.294792 13.76728 + 332 | 3.794819 2.053043 1.85 0.066 -.258444 7.848082 + 333 | 10.09883 4.370513 2.31 0.022 1.470255 18.72741 + 334 | 6.91285 3.549712 1.95 0.053 -.0952424 13.92094 + 335 | 3.269734 1.850883 1.77 0.079 -.3844117 6.923879 + 336 | 7.222385 1.990545 3.63 0.000 3.29251 11.15226 + 341 | 12.54301 4.244409 2.96 0.004 4.163396 20.92262 + 342 | 16.4874 9.600855 1.72 0.088 -2.467292 35.44209 + 343 | 7.375733 4.761634 1.55 0.123 -2.025022 16.77649 + 344 | 7.470152 1.705479 4.38 0.000 4.103074 10.83723 + 398 | 3.903996 2.036635 1.92 0.057 -.1168729 7.924865 + 399 | -.4359962 1.812812 -0.24 0.810 -4.014979 3.142986 + 400 | -1.697034 2.028428 -0.84 0.404 -5.7017 2.307633 + 401 | .4094358 2.799022 0.15 0.884 -5.116591 5.935463 + 402 | 3.290679 2.665236 1.23 0.219 -1.971219 8.552577 + 403 | -1.352794 1.775222 -0.76 0.447 -4.857563 2.151974 + 404 | 11.45341 3.706026 3.09 0.002 4.13671 18.77011 + 405 | 6.241291 3.55621 1.76 0.081 -.77963 13.26221 + 498 | .3574404 4.280097 0.08 0.934 -8.09263 8.807511 + 499 | -11.28651 4.821166 -2.34 0.020 -20.8048 -1.768224 + 500 | -1.674814 3.444703 -0.49 0.627 -8.475592 5.125964 + 501 | 25.96862 10.08152 2.58 0.011 6.064955 45.87228 + 502 | 6.904535 4.09589 1.69 0.094 -1.181862 14.99093 + 503 | 5.018542 1.91334 2.62 0.010 1.241092 8.795993 + 504 | .8031505 2.913245 0.28 0.783 -4.948385 6.554686 + 505 | 5.600941 2.967968 1.89 0.061 -.2586324 11.46051 + 506 | 3.787346 3.764596 1.01 0.316 -3.644987 11.21968 + 508 | 6.58069 2.16026 3.05 0.003 2.31575 10.84563 + 530 | 3.840728 1.592524 2.41 0.017 .6966536 6.984803 + 600 | 12.80376 5.059868 2.53 0.012 2.814205 22.79331 + 601 | 5.099331 2.121353 2.40 0.017 .9112059 9.287456 + 602 | 4.038795 1.745182 2.31 0.022 .5933324 7.484258 + 603 | 5.382472 3.894632 1.38 0.169 -2.306586 13.07153 + 604 | -.4381084 1.510188 -0.29 0.772 -3.41963 2.543413 + 606 | .5539307 1.916606 0.29 0.773 -3.229969 4.33783 + 607 | .2726735 1.65949 0.16 0.870 -3.003609 3.548956 + 609 | -1.755272 1.581387 -1.11 0.269 -4.877357 1.366814 + 698 | 1.69242 2.861119 0.59 0.555 -3.956203 7.341044 + 699 | 4.636962 2.679449 1.73 0.085 -.6529964 9.92692 + 700 | 4.002199 6.458649 0.62 0.536 -8.748924 16.75332 + 701 | 4.821756 2.38252 2.02 0.045 .1180157 9.525497 + 703 | 5.084147 3.922872 1.30 0.197 -2.660666 12.82896 + 704 | 4.578372 2.639832 1.73 0.085 -.6333724 9.790117 + 705 | 5.072551 2.956345 1.72 0.088 -.7640755 10.90918 + 707 | 6.482797 1.98184 3.27 0.001 2.570107 10.39549 + 708 | -2.255492 1.087478 -2.07 0.040 -4.402468 -.1085168 + 709 | 6.528816 2.858078 2.28 0.024 .8861954 12.17144 + 710 | 5.93656 3.357826 1.77 0.079 -.6926991 12.56582 + 711 | -.568627 2.232574 -0.25 0.799 -4.976333 3.839079 + 798 | -1.211959 4.01606 -0.30 0.763 -9.140749 6.716831 + 799 | 20.58736 9.235898 2.23 0.027 2.353192 38.82152 + 800 | .5950504 1.91532 0.31 0.756 -3.186311 4.376411 + 801 | 3.66819 4.564385 0.80 0.423 -5.343143 12.67952 + 802 | -1.545845 3.524326 -0.44 0.662 -8.503819 5.41213 + 803 | 1.756075 1.646963 1.07 0.288 -1.495477 5.007626 + 805 | -1.325792 5.685241 -0.23 0.816 -12.55 9.898414 + 806 | 1.287147 1.886143 0.68 0.496 -2.436611 5.010905 + 807 | 7.111483 2.642692 2.69 0.008 1.894094 12.32887 + 898 | -9.447487 3.709507 -2.55 0.012 -16.77106 -2.123915 + 899 | -.9078735 4.527461 -0.20 0.841 -9.846308 8.030561 + 1000 | 2.763838 1.458316 1.90 0.060 -.1152726 5.642949 + 1001 | 14.76385 8.910677 1.66 0.099 -2.828241 32.35594 + 1002 | 6.66867 3.542902 1.88 0.062 -.3259782 13.66332 + 1003 | 7.02589 2.732786 2.57 0.011 1.63063 12.42115 + 1005 | 3.996381 2.877637 1.39 0.167 -1.684854 9.677615 + 1006 | 5.589645 2.407148 2.32 0.021 .837283 10.34201 + 1007 | 5.212272 3.6704 1.42 0.157 -2.034093 12.45864 + 1010 | .623507 1.609375 0.39 0.699 -2.553836 3.80085 + 1200 | .8960982 1.199931 0.75 0.456 -1.472892 3.265088 + 1201 | 2.98815 2.059066 1.45 0.149 -1.077005 7.053305 + 1202 | -1.191537 1.657584 -0.72 0.473 -4.464057 2.080982 + 1203 | 5.25693 3.242243 1.62 0.107 -1.144137 11.658 + 1204 | .4793584 2.112443 0.23 0.821 -3.691176 4.649892 + 1205 | 4.433029 2.12832 2.08 0.039 .2311493 8.634908 + 1206 | 1.981351 2.609628 0.76 0.449 -3.170763 7.133464 + 1207 | 6.599891 4.535892 1.46 0.148 -2.355189 15.55497 + 1208 | 3.633242 1.31968 2.75 0.007 1.027836 6.238647 + 1209 | 4.405231 1.515663 2.91 0.004 1.412902 7.39756 + 1210 | 7.284596 6.172117 1.18 0.240 -4.900836 19.47003 + 1211 | 4.039463 3.98698 1.01 0.312 -3.831915 11.91084 + 1299 | -1.915411 1.657608 -1.16 0.250 -5.187979 1.357157 + 1300 | 7.804392 3.591304 2.17 0.031 .7141855 14.8946 + 1301 | 8.460717 3.422749 2.47 0.014 1.703283 15.21815 + 1302 | -1.009361 1.638424 -0.62 0.539 -4.244055 2.225332 + 1303 | 5.85072 1.735097 3.37 0.001 2.425169 9.276271 + 1304 | 6.615336 1.736735 3.81 0.000 3.186552 10.04412 + 1305 | 4.650857 1.886108 2.47 0.015 .9271676 8.374546 + 1399 | 2.592152 1.184287 2.19 0.030 .2540487 4.930254 + 1400 | 6.094689 7.974401 0.76 0.446 -9.648939 21.83832 + 1401 | 2.84406 1.621805 1.75 0.081 -.3578221 6.045943 + 1403 | 5.97054 2.096287 2.85 0.005 1.831901 10.10918 + 1404 | 11.39639 1.433412 7.95 0.000 8.566445 14.22633 + 1405 | 3.043112 2.719265 1.12 0.265 -2.325454 8.411679 + 1406 | 11.65802 7.456237 1.56 0.120 -3.062614 26.37865 + 1407 | 7.945084 2.265094 3.51 0.001 3.473176 12.41699 + 1408 | 5.271428 1.61243 3.27 0.001 2.088055 8.454802 + 1409 | 5.011614 1.675529 2.99 0.003 1.703665 8.319562 + 1410 | 4.220253 2.968675 1.42 0.157 -1.640716 10.08122 + 1500 | .614236 1.162074 0.53 0.598 -1.680012 2.908484 + 1501 | 2.183947 2.091313 1.04 0.298 -1.944871 6.312764 + 1502 | 4.858684 1.781155 2.73 0.007 1.342201 8.375167 + 1504 | 3.419897 2.504698 1.37 0.174 -1.525054 8.364849 + 1505 | 2.612131 1.637601 1.60 0.113 -.6209376 5.8452 + 1507 | 2.039503 1.415878 1.44 0.152 -.7558239 4.83483 + 1520 | .2416694 .9360805 0.26 0.797 -1.606407 2.089746 + 1521 | .5324681 2.072978 0.26 0.798 -3.560153 4.625089 + 1522 | 2.176629 1.470199 1.48 0.141 -.7259418 5.0792 + 1523 | -.5021171 .6333352 -0.79 0.429 -1.752492 .7482582 + 1525 | 2.235062 1.952007 1.15 0.254 -1.618729 6.088852 + 1526 | 2.030706 1.274441 1.59 0.113 -.4853862 4.546798 + 1599 | 3.193842 2.471005 1.29 0.198 -1.684591 8.072275 + 1600 | 11.82146 7.277621 1.62 0.106 -2.546535 26.18946 + 1602 | -4.41647 3.188167 -1.39 0.168 -10.71077 1.877835 + 1603 | 35.13156 4.547164 7.73 0.000 26.15422 44.10889 + 1604 | 10.01684 5.32563 1.88 0.062 -.4973948 20.53108 + 1605 | 11.15436 5.583422 2.00 0.047 .1311707 22.17755 + 1606 | 1.012061 2.665826 0.38 0.705 -4.251002 6.275124 + 1608 | 8.322527 2.563906 3.25 0.001 3.260683 13.38437 + 1609 | 9.136249 2.043047 4.47 0.000 5.102722 13.16978 + 1610 | 3.047918 2.735062 1.11 0.267 -2.351835 8.44767 + 1611 | 1.04934 2.308656 0.45 0.650 -3.508573 5.607254 + 1612 | 4.627254 2.105884 2.20 0.029 .4696689 8.78484 + 1615 | 4.95625 3.008073 1.65 0.101 -.9825014 10.895 + 1616 | 7.207198 7.834718 0.92 0.359 -8.260658 22.67505 + 1619 | 12.61161 2.13483 5.91 0.000 8.396876 16.82634 + 1620 | 1.930146 1.460588 1.32 0.188 -.9534517 4.813743 + 1698 | .3185298 1.774926 0.18 0.858 -3.185654 3.822714 + 1699 | 9.830223 2.040869 4.82 0.000 5.800995 13.85945 + 1701 | 4.076391 5.430452 0.75 0.454 -6.644792 14.79757 + 1706 | 3.197388 3.041837 1.05 0.295 -2.808023 9.202799 + 1707 | 1.762996 2.199772 0.80 0.424 -2.579949 6.105941 + 1708 | 13.14946 3.770567 3.49 0.001 5.705337 20.59358 + 1709 | 6.026711 2.713917 2.22 0.028 .6687025 11.38472 + 1798 | 1.392604 1.524388 0.91 0.362 -1.616951 4.402159 + 1800 | .8845717 2.004557 0.44 0.660 -3.072967 4.84211 + 1802 | 2.74602 1.961011 1.40 0.163 -1.125548 6.617587 + 1803 | -.2164611 2.990074 -0.07 0.942 -6.119676 5.686754 + 1804 | .8781183 1.093533 0.80 0.423 -1.280813 3.037049 + 1806 | .7950385 3.724587 0.21 0.831 -6.558306 8.148383 + 1807 | 1.555383 1.341861 1.16 0.248 -1.093815 4.204581 + 1900 | .7829214 2.949383 0.27 0.791 -5.039961 6.605803 + 1901 | -3.652468 2.338531 -1.56 0.120 -8.269362 .9644264 + 1902 | 3.397532 3.017306 1.13 0.262 -2.559448 9.354511 + 1905 | 7.059598 2.329357 3.03 0.003 2.460816 11.65838 + 1906 | .4543245 2.984994 0.15 0.879 -5.438863 6.347512 + 1908 | 3.362757 3.724777 0.90 0.368 -3.990962 10.71648 + 1909 | 4.055205 2.273211 1.78 0.076 -.4327299 8.543139 + 1911 | 24.47369 3.847591 6.36 0.000 16.8775 32.06988 + 1912 | 10.42741 3.596877 2.90 0.004 3.326204 17.52862 + 1920 | .9363347 2.609869 0.36 0.720 -4.216254 6.088923 + 1925 | 4.71446 2.758836 1.71 0.089 -.7322291 10.16115 + 1926 | 7.278241 3.539322 2.06 0.041 .2906595 14.26582 + 1927 | -.3409487 1.713561 -0.20 0.843 -3.723983 3.042086 + 1929 | .3151255 1.244209 0.25 0.800 -2.141281 2.771532 + 1999 | -5.946994 2.666389 -2.23 0.027 -11.21117 -.6828199 + 2000 | 3.539565 4.40709 0.80 0.423 -5.161226 12.24035 + 2001 | -.3374021 1.753048 -0.19 0.848 -3.798394 3.12359 + 2002 | 8.246729 2.850636 2.89 0.004 2.618802 13.87466 + 2003 | 8.597386 2.233125 3.85 0.000 4.188593 13.00618 + 2004 | 2.43292 2.049881 1.19 0.237 -1.614101 6.479941 + 2005 | -.8268631 4.490079 -0.18 0.854 -9.691495 8.037769 + 2006 | 1.439692 1.777168 0.81 0.419 -2.068918 4.948303 + 2007 | 1.841153 2.395373 0.77 0.443 -2.887962 6.570268 + 2008 | 3.697172 1.619023 2.28 0.024 .5007825 6.893561 + 2011 | 1.244392 1.944865 0.64 0.523 -2.595298 5.084082 + 2012 | 6.055866 2.535301 2.39 0.018 1.050495 11.06124 + 2013 | 9.728538 5.703345 1.71 0.090 -1.531409 20.98849 + 2014 | 8.327088 2.467735 3.37 0.001 3.455111 13.19906 + 2030 | 14.79054 3.387961 4.37 0.000 8.101783 21.47929 + 2099 | 36.17012 1.951601 18.53 0.000 32.31713 40.02311 + 2100 | -3.139239 8.189142 -0.38 0.702 -19.30682 13.02835 + 2101 | 7.438058 3.092347 2.41 0.017 1.332926 13.54319 + 2102 | 6.15459 2.501708 2.46 0.015 1.21554 11.09364 + 2103 | 4.785972 2.230704 2.15 0.033 .3819572 9.189987 + 2104 | 6.825484 3.543003 1.93 0.056 -.1693654 13.82033 + 9999 | 3.31942 1.030755 3.22 0.002 1.28443 5.354409 + | + house_administration | -.8038469 2.169717 -0.37 0.711 -5.087456 3.479762 + house_agriculture | .3759126 1.573922 0.24 0.812 -2.731436 3.483261 + house_appropriations | 3.974944 5.664212 0.70 0.484 -7.207744 15.15763 + house_armedservices | -.5011349 1.485891 -0.34 0.736 -3.434687 2.432417 + house_budget | -1.306217 2.361413 -0.55 0.581 -5.968286 3.355851 + house_dc | -2.200317 2.298907 -0.96 0.340 -6.738983 2.338349 + house_educlabor | 1.046152 .9008097 1.16 0.247 -.7322905 2.824594 + house_energycommerce | .8724643 .9406408 0.93 0.355 -.9846155 2.729544 + house_foreignaffairs | 2.197115 2.143101 1.03 0.307 -2.033947 6.428178 + house_governmentop | -1.647463 1.472731 -1.12 0.265 -4.555033 1.260108 + house_intelligence | -18.95846 4.25775 -4.45 0.000 -27.36441 -10.55251 + house_interior | 5.381752 3.234137 1.66 0.098 -1.00331 11.76681 + house_judiciary | -.7883279 .7258418 -1.09 0.279 -2.221336 .6446806 + house_mmf | 5.465559 4.28161 1.28 0.204 -2.987499 13.91862 + house_pocs | -3.784804 1.648308 -2.30 0.023 -7.039011 -.5305975 + house_pwt | -4.089108 1.404372 -2.91 0.004 -6.86172 -1.316496 + house_rules | .920485 1.923004 0.48 0.633 -2.876046 4.717016 + house_sst | 8.0254 4.706105 1.71 0.090 -1.265727 17.31653 + house_smallbusi | 4.137645 2.887382 1.43 0.154 -1.562829 9.838119 + house_soc | -1.865002 2.332043 -0.80 0.425 -6.469087 2.739082 + house_veterans | -.6768522 1.119756 -0.60 0.546 -2.887555 1.53385 + house_waysandmeans | -1.383028 .617315 -2.24 0.026 -2.601775 -.1642809 +house_naturalresources | -2.191365 1.837084 -1.19 0.235 -5.818266 1.435536 + house_bfs | .6104098 1.181062 0.52 0.606 -1.721326 2.942146 + house_eeo | .975571 1.98371 0.49 0.624 -2.940809 4.891951 + house_govreform | 2.470333 1.606434 1.54 0.126 -.7012029 5.641869 + house_ir | 3.22295 2.398739 1.34 0.181 -1.512811 7.958711 + house_natsecur | -1.255978 2.687396 -0.47 0.641 -6.561626 4.049669 + house_oversight | -2.544049 1.787764 -1.42 0.157 -6.07358 .985481 + house_resources | -2.444561 1.799551 -1.36 0.176 -5.997363 1.10824 + house_science | 2.689897 2.737803 0.98 0.327 -2.715268 8.095062 + house_transp | -1.025752 1.078883 -0.95 0.343 -3.155759 1.104255 + house_homeland | 9.107312 3.636309 2.50 0.013 1.928253 16.28637 + _cons | -.5127322 1.667506 -0.31 0.759 -3.804841 2.779377 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 168 1 0 1 1 + + +j = 3 k = 3 + + +rdbwselect_2014 pct_cosponsors_leader MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 10.55892 17.44562 .6052474 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(57,072 missing values generated) +(60,750 missing values generated) +(3,678 real changes made) +reg pct_cosponsors_leader sponsor_female i.v2 MV1_female femaleXMV1_female i.minor house_* [aw=wt] if sponsor_party==200 & tag_bill==1 & sample==1 & abs(MV1_female) +> <=10.55891754913446, robust cluster(group_sponsor) +(sum of wgt is 1,641.79975271225) +note: house_dc omitted because of collinearity +note: house_soc omitted because of collinearity + +Linear regression Number of obs = 962 + F(79, 80) = . + Prob > F = . + R-squared = 0.3540 + Root MSE = 7.9289 + + (Std. Err. adjusted for 81 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + pct_cosponsors_leader | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 3.819779 1.917071 1.99 0.050 .0046869 7.634871 + | + v2 | + 103 | -1.561705 1.426884 -1.09 0.277 -4.401294 1.277885 + 104 | -1.669487 1.938776 -0.86 0.392 -5.527774 2.188801 + 105 | -2.198156 1.395596 -1.58 0.119 -4.97548 .579168 + 106 | -4.318083 1.470716 -2.94 0.004 -7.244902 -1.391265 + 107 | 1.273938 1.288502 0.99 0.326 -1.290262 3.838138 + 108 | 1.418952 2.153832 0.66 0.512 -2.867311 5.705215 + 109 | -1.890198 1.924102 -0.98 0.329 -5.719283 1.938887 + 110 | 1.92886 2.169765 0.89 0.377 -2.38911 6.24683 + 111 | -1.830433 1.723707 -1.06 0.291 -5.260718 1.599852 + | + MV1_female | -.3751544 .147547 -2.54 0.013 -.6687822 -.0815266 + femaleXMV1_female | .1506949 .2487666 0.61 0.546 -.3443665 .6457563 + | + minor | + 101 | -1.253281 6.085594 -0.21 0.837 -13.364 10.85744 + 104 | 14.22432 5.827008 2.44 0.017 2.628206 25.82044 + 105 | -9.394829 5.048558 -1.86 0.066 -19.44178 .6521214 + 107 | -3.79514 4.503013 -0.84 0.402 -12.75642 5.166142 + 200 | -6.332931 5.287062 -1.20 0.235 -16.85452 4.188659 + 202 | 2.108006 4.869608 0.43 0.666 -7.582823 11.79884 + 204 | -4.427158 5.616137 -0.79 0.433 -15.60363 6.749312 + 206 | -.3267975 5.690101 -0.06 0.954 -11.65046 10.99686 + 207 | 6.991334 6.939094 1.01 0.317 -6.817903 20.80057 + 208 | 2.542654 7.824019 0.32 0.746 -13.02764 18.11295 + 209 | -6.734613 5.156175 -1.31 0.195 -16.99573 3.526501 + 300 | -8.416045 5.579425 -1.51 0.135 -19.51945 2.687365 + 301 | -.6080065 6.607574 -0.09 0.927 -13.7575 12.54148 + 302 | .5567478 5.474896 0.10 0.919 -10.33864 11.45214 + 321 | 9.053498 8.10722 1.12 0.267 -7.080384 25.18738 + 322 | -5.716553 5.305365 -1.08 0.284 -16.27457 4.84146 + 323 | -8.808673 5.393274 -1.63 0.106 -19.54163 1.924285 + 324 | -3.486429 7.22765 -0.48 0.631 -17.86991 10.89705 + 325 | -1.229788 6.374078 -0.19 0.847 -13.91461 11.45503 + 331 | -3.320535 5.579248 -0.60 0.553 -14.42359 7.782522 + 332 | -2.360046 6.240884 -0.38 0.706 -14.7798 10.05971 + 333 | -.1497622 5.919736 -0.03 0.980 -11.93041 11.63089 + 334 | 2.997553 5.454738 0.55 0.584 -7.857721 13.85283 + 335 | -6.953581 5.645501 -1.23 0.222 -18.18849 4.281325 + 336 | -4.722644 5.133415 -0.92 0.360 -14.93847 5.493179 + 341 | -6.783467 5.386559 -1.26 0.212 -17.50306 3.936126 + 343 | -5.003606 5.184936 -0.97 0.337 -15.32196 5.314745 + 398 | -1.30271 5.774256 -0.23 0.822 -12.79385 10.18843 + 399 | -5.778231 6.67509 -0.87 0.389 -19.06208 7.505621 + 400 | -.7923557 5.653455 -0.14 0.889 -12.04309 10.45838 + 401 | -.5157212 5.465215 -0.09 0.925 -11.39185 10.3604 + 402 | -7.78193 6.030432 -1.29 0.201 -19.78287 4.219012 + 403 | -5.475298 5.52899 -0.99 0.325 -16.47834 5.527744 + 499 | -7.814176 5.397252 -1.45 0.152 -18.55505 2.926698 + 500 | 41.39939 5.14592 8.05 0.000 31.15868 51.64009 + 503 | -7.468731 5.476875 -1.36 0.176 -18.36806 3.430598 + 505 | -10.04252 6.243772 -1.61 0.112 -22.46802 2.382985 + 508 | -.6885634 6.151431 -0.11 0.911 -12.9303 11.55317 + 530 | -2.990581 5.123062 -0.58 0.561 -13.1858 7.204636 + 599 | -2.63389 5.65157 -0.47 0.642 -13.88087 8.613093 + 600 | -7.221395 5.310894 -1.36 0.178 -17.79041 3.34762 + 601 | -5.510635 5.589258 -0.99 0.327 -16.63361 5.612342 + 602 | -.2689596 6.047572 -0.04 0.965 -12.30401 11.76609 + 603 | 1.555084 7.685864 0.20 0.840 -13.74027 16.85044 + 604 | -7.682145 5.150822 -1.49 0.140 -17.93261 2.568316 + 606 | -2.691565 6.111325 -0.44 0.661 -14.85349 9.470359 + 607 | -2.14746 5.485448 -0.39 0.696 -13.06385 8.768929 + 609 | 11.84791 13.55831 0.87 0.385 -15.13398 38.8298 + 699 | -6.222073 5.272091 -1.18 0.241 -16.71387 4.269724 + 700 | -6.590624 5.042438 -1.31 0.195 -16.6254 3.444148 + 701 | 1.929962 8.494923 0.23 0.821 -14.97547 18.8354 + 703 | -4.19056 5.058198 -0.83 0.410 -14.25669 5.875574 + 704 | -8.311893 5.104981 -1.63 0.107 -18.47113 1.847343 + 705 | -1.40777 5.706633 -0.25 0.806 -12.76433 9.94879 + 707 | -9.386802 5.29548 -1.77 0.080 -19.92514 1.151538 + 709 | -.3653512 5.728601 -0.06 0.949 -11.76563 11.03493 + 710 | -2.562622 5.048459 -0.51 0.613 -12.60938 7.484132 + 711 | -9.602437 5.259209 -1.83 0.072 -20.0686 .863722 + 800 | 4.03332 4.491591 0.90 0.372 -4.90523 12.97187 + 801 | -6.402919 5.120294 -1.25 0.215 -16.59263 3.786791 + 802 | -4.1104 5.076259 -0.81 0.420 -14.21248 5.991678 + 803 | -7.406654 5.126543 -1.44 0.152 -17.6088 2.795493 + 805 | -7.475019 5.722788 -1.31 0.195 -18.86373 3.913691 + 806 | -6.852568 5.290408 -1.30 0.199 -17.38082 3.675679 + 807 | -7.278251 5.403353 -1.35 0.182 -18.03127 3.474765 + 1001 | -2.195889 4.906893 -0.45 0.656 -11.96092 7.56914 + 1002 | -6.120792 5.276102 -1.16 0.249 -16.62057 4.378985 + 1003 | 3.524626 8.19858 0.43 0.668 -12.79107 19.84032 + 1005 | -8.584049 5.085361 -1.69 0.095 -18.70424 1.536143 + 1006 | -1.513863 3.871033 -0.39 0.697 -9.217464 6.189738 + 1007 | -8.944655 5.138226 -1.74 0.086 -19.17005 1.28074 + 1010 | -5.622256 4.99344 -1.13 0.264 -15.55952 4.315006 + 1202 | -3.777032 7.301898 -0.52 0.606 -18.30827 10.75421 + 1203 | -6.269428 5.34752 -1.17 0.245 -16.91133 4.372475 + 1204 | -2.689868 5.586648 -0.48 0.631 -13.80765 8.427916 + 1205 | -6.946111 5.415493 -1.28 0.203 -17.72329 3.831064 + 1206 | -.4184346 5.59238 -0.07 0.941 -11.54763 10.71076 + 1207 | -6.805999 4.572265 -1.49 0.141 -15.9051 2.293099 + 1208 | -4.71499 5.260113 -0.90 0.373 -15.18295 5.752968 + 1209 | 7.485757 6.566063 1.14 0.258 -5.581125 20.55264 + 1210 | -11.01951 5.875025 -1.88 0.064 -22.71118 .6721646 + 1211 | -1.973829 4.841353 -0.41 0.685 -11.60843 7.66077 + 1300 | -2.165569 6.836582 -0.32 0.752 -15.7708 11.43966 + 1302 | 6.727265 5.38385 1.25 0.215 -3.986938 17.44147 + 1303 | -5.275477 5.145737 -1.03 0.308 -15.51582 4.964866 + 1304 | 10.38472 5.130605 2.02 0.046 .1744873 20.59494 + 1399 | -8.44427 5.085867 -1.66 0.101 -18.56547 1.676927 + 1400 | .1041869 5.93317 0.02 0.986 -11.7032 11.91157 + 1401 | 1.667165 6.186273 0.27 0.788 -10.64391 13.97824 + 1404 | 13.85886 5.479746 2.53 0.013 2.953822 24.76391 + 1405 | -2.390886 4.992238 -0.48 0.633 -12.32576 7.543983 + 1406 | -5.833645 5.123517 -1.14 0.258 -16.02977 4.362479 + 1407 | 7.067172 5.7227 1.23 0.220 -4.321364 18.45571 + 1409 | -3.951314 5.726132 -0.69 0.492 -15.34668 7.444053 + 1410 | .4934583 4.977032 0.10 0.921 -9.411152 10.39807 + 1500 | -9.538363 5.352757 -1.78 0.079 -20.19069 1.113962 + 1501 | .872249 5.593408 0.16 0.876 -10.25899 12.00349 + 1502 | 5.279645 8.737698 0.60 0.547 -12.10893 22.66822 + 1504 | -3.52748 4.59108 -0.77 0.445 -12.66402 5.60906 + 1505 | -2.70919 5.902881 -0.46 0.648 -14.4563 9.037917 + 1507 | 1.25933 4.981691 0.25 0.801 -8.654551 11.17321 + 1520 | -5.000879 5.083781 -0.98 0.328 -15.11792 5.116168 + 1521 | -3.212958 5.838395 -0.55 0.584 -14.83173 8.405818 + 1523 | 5.44645 5.528397 0.99 0.328 -5.555411 16.44831 + 1524 | -7.682691 5.011002 -1.53 0.129 -17.6549 2.289521 + 1525 | -6.068114 5.898225 -1.03 0.307 -17.80596 5.669728 + 1526 | -12.63389 5.65157 -2.24 0.028 -23.88087 -1.386907 + 1599 | -6.79252 5.141667 -1.32 0.190 -17.02476 3.439723 + 1600 | -9.722347 4.794234 -2.03 0.046 -19.26318 -.181517 + 1603 | -.6303324 7.507188 -0.08 0.933 -15.57011 14.30945 + 1604 | -7.285192 5.222997 -1.39 0.167 -17.67929 3.108904 + 1608 | 1.738666 5.598091 0.31 0.757 -9.401891 12.87922 + 1609 | -2.595726 5.325831 -0.49 0.627 -13.19447 8.003015 + 1610 | 3.790343 5.48578 0.69 0.492 -7.126707 14.70739 + 1611 | -14.7194 5.688411 -2.59 0.011 -26.0397 -3.3991 + 1615 | 12.77066 8.121692 1.57 0.120 -3.392022 28.93334 + 1616 | -10.93021 5.178201 -2.11 0.038 -21.23516 -.6252592 + 1619 | -7.18434 6.526663 -1.10 0.274 -20.17281 5.804133 + 1698 | -.7830373 4.335932 -0.18 0.857 -9.411817 7.845742 + 1699 | -10.82723 6.147903 -1.76 0.082 -23.06195 1.407482 + 1701 | -5.648069 5.109188 -1.11 0.272 -15.81568 4.51954 + 1704 | -3.517354 5.792298 -0.61 0.545 -15.0444 8.009687 + 1706 | -5.197245 5.393553 -0.96 0.338 -15.93076 5.536266 + 1707 | -8.284801 5.449611 -1.52 0.132 -19.12987 2.56027 + 1709 | 13.72777 9.211034 1.49 0.140 -4.602775 32.05831 + 1798 | -6.031599 4.949798 -1.22 0.227 -15.88201 3.818813 + 1800 | -3.603108 5.842824 -0.62 0.539 -15.2307 8.024482 + 1802 | -6.710133 7.202191 -0.93 0.354 -21.04295 7.622684 + 1806 | 8.912256 5.232603 1.70 0.092 -1.500955 19.32547 + 1807 | -6.647229 5.692808 -1.17 0.246 -17.97628 4.681819 + 1808 | -8.660699 5.703777 -1.52 0.133 -20.01158 2.690179 + 1900 | -3.002127 4.996656 -0.60 0.550 -12.94579 6.941535 + 1901 | -5.539205 4.717482 -1.17 0.244 -14.92729 3.848884 + 1902 | 6.021963 5.222928 1.15 0.252 -4.371995 16.41592 + 1906 | 5.753914 7.162425 0.80 0.424 -8.499766 20.00759 + 1907 | 23.57317 5.149262 4.58 0.000 13.32582 33.82053 + 1915 | .1902278 5.441263 0.03 0.972 -10.63823 11.01869 + 1919 | 17.75605 5.201782 3.41 0.001 7.404175 28.10793 + 1925 | 3.521675 5.28804 0.67 0.507 -7.00186 14.04521 + 1926 | -.6313529 4.6515 -0.14 0.892 -9.888132 8.625426 + 1927 | 6.690055 7.11917 0.94 0.350 -7.477545 20.85766 + 1929 | .0176305 8.244351 0.00 0.998 -16.38915 16.42441 + 2000 | -3.792656 5.332399 -0.71 0.479 -14.40447 6.819155 + 2001 | -4.09784 5.852643 -0.70 0.486 -15.74497 7.549291 + 2002 | -1.586234 5.638973 -0.28 0.779 -12.80815 9.635681 + 2003 | 1.023388 6.707945 0.15 0.879 -12.32585 14.37262 + 2004 | -6.82833 5.149911 -1.33 0.189 -17.07698 3.420318 + 2005 | 1.892451 5.290903 0.36 0.722 -8.636781 12.42168 + 2006 | -2.546662 5.851859 -0.44 0.665 -14.19223 9.098909 + 2007 | -9.838528 6.374782 -1.54 0.127 -22.52475 2.847692 + 2008 | -3.862077 4.515766 -0.86 0.395 -12.84874 5.124584 + 2009 | 3.164409 5.367392 0.59 0.557 -7.517042 13.84586 + 2011 | -5.206493 5.340981 -0.97 0.333 -15.83538 5.422397 + 2012 | -5.400225 5.341964 -1.01 0.315 -16.03107 5.230623 + 2013 | 7.288532 5.171215 1.41 0.163 -3.002514 17.57958 + 2014 | -10.44383 4.967171 -2.10 0.039 -20.32881 -.5588435 + 2015 | -10.63763 5.124252 -2.08 0.041 -20.83521 -.4400413 + 2100 | -3.560045 5.45237 -0.65 0.516 -14.41061 7.290517 + 2101 | -1.457431 6.262191 -0.23 0.817 -13.91959 11.00473 + 2102 | -9.828536 5.036447 -1.95 0.054 -19.85138 .1943122 + 2103 | -5.660031 5.278704 -1.07 0.287 -16.16499 4.844924 + 2104 | -5.281763 5.445141 -0.97 0.335 -16.11794 5.554414 + 2105 | -9.760299 11.3961 -0.86 0.394 -32.43926 12.91866 + | + house_administration | -2.66523 1.684406 -1.58 0.118 -6.017304 .6868443 + house_agriculture | 2.906732 1.840792 1.58 0.118 -.756561 6.570024 + house_appropriations | -1.792348 1.663641 -1.08 0.285 -5.103099 1.518404 + house_armedservices | 3.201929 2.164599 1.48 0.143 -1.105761 7.509619 + house_budget | 3.200231 1.705405 1.88 0.064 -.193634 6.594096 + house_dc | 0 (omitted) + house_educlabor | .3752033 1.206529 0.31 0.757 -2.025865 2.776272 + house_energycommerce | .0600235 .9554387 0.06 0.950 -1.84136 1.961407 + house_foreignaffairs | -3.572397 2.433289 -1.47 0.146 -8.414796 1.270002 + house_governmentop | 2.90802 1.985611 1.46 0.147 -1.043473 6.859513 + house_intelligence | 7.11474 5.33002 1.33 0.186 -3.492339 17.72182 + house_interior | .3739968 2.433242 0.15 0.878 -4.468309 5.216302 + house_judiciary | .8295202 1.256966 0.66 0.511 -1.671922 3.330963 + house_mmf | 1.764978 3.86301 0.46 0.649 -5.922656 9.452612 + house_pocs | -1.99085 2.510555 -0.79 0.430 -6.987014 3.005314 + house_pwt | -2.232176 2.094718 -1.07 0.290 -6.400798 1.936447 + house_rules | -1.649936 1.03371 -1.60 0.114 -3.707083 .407212 + house_sst | -6.615172 3.917089 -1.69 0.095 -14.41043 1.180083 + house_smallbusi | 3.123558 3.057299 1.02 0.310 -2.96066 9.207777 + house_soc | 0 (omitted) + house_veterans | 1.60106 2.169322 0.74 0.463 -2.716029 5.918149 + house_waysandmeans | -.0714485 .9851087 -0.07 0.942 -2.031877 1.88898 +house_naturalresources | -.6683093 1.989099 -0.34 0.738 -4.626742 3.290123 + house_bfs | -2.283768 1.868887 -1.22 0.225 -6.002971 1.435435 + house_eeo | -2.729549 1.955521 -1.40 0.167 -6.621159 1.162062 + house_govreform | .2093213 1.260073 0.17 0.868 -2.298304 2.716947 + house_ir | -.9387973 1.890379 -0.50 0.621 -4.700771 2.823176 + house_natsecur | 1.527302 1.992458 0.77 0.446 -2.437816 5.49242 + house_oversight | .4476729 1.435298 0.31 0.756 -2.40866 3.304006 + house_resources | .4466277 1.486753 0.30 0.765 -2.512105 3.40536 + house_science | -4.031025 2.994761 -1.35 0.182 -9.990788 1.928739 + house_transp | -1.393732 1.770498 -0.79 0.433 -4.917136 2.129672 + house_homeland | -9.42972 7.084549 -1.33 0.187 -23.52842 4.668982 + _cons | 7.034898 5.406303 1.30 0.197 -3.723988 17.79378 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 81 1 0 1 1 + + +j = 4 k = 1 + + +rdbwselect_2014 pct_cosponsors_leader MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11989 +----------------------+---------------------- NN matches = 3 + Number of obs | 6150 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 24.12402 42.82562 .563308 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(6,677 missing values generated) +(54,574 missing values generated) +(47,897 real changes made) +reg pct_cosponsors_leader sponsor_female i.v2 i.minor house_* [aw=wt] if tag_bill==1, robust cluster(group_sponsor) +(sum of wgt is 119,189.194591641) + +Linear regression Number of obs = 55,670 + F(268, 4402) = . + Prob > F = . + R-squared = 0.0584 + Root MSE = 9.4714 + + (Std. Err. adjusted for 4,403 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + pct_cosponsors_leader | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -.3900915 .1743947 -2.24 0.025 -.7319928 -.0481902 + | + v2 | + 102 | .3925358 .5029756 0.78 0.435 -.5935494 1.378621 + 103 | -.5513673 .4806916 -1.15 0.251 -1.493765 .39103 + 104 | -1.502956 .5174142 -2.90 0.004 -2.517348 -.4885641 + 105 | -.2714695 .4924359 -0.55 0.581 -1.236892 .6939526 + 106 | -1.149281 .4738148 -2.43 0.015 -2.078196 -.2203655 + 107 | -.1104213 .5266782 -0.21 0.834 -1.142975 .9221328 + 108 | .4101426 .494017 0.83 0.406 -.5583792 1.378664 + 109 | -.2081479 .5112577 -0.41 0.684 -1.21047 .7941743 + 110 | 2.138092 .5156427 4.15 0.000 1.127173 3.149011 + 111 | -1.025319 .4955578 -2.07 0.039 -1.996862 -.0537765 + | + minor | + 101 | 1.049273 2.317208 0.45 0.651 -3.493621 5.592167 + 103 | -.5964078 1.880289 -0.32 0.751 -4.282721 3.089905 + 104 | 3.494238 2.868142 1.22 0.223 -2.128764 9.11724 + 105 | 2.11684 1.451861 1.46 0.145 -.7295385 4.963217 + 107 | 3.348428 1.39184 2.41 0.016 .619721 6.077135 + 108 | 6.450544 2.528134 2.55 0.011 1.494129 11.40696 + 110 | -1.413714 1.825887 -0.77 0.439 -4.99337 2.165942 + 200 | 3.572423 1.48041 2.41 0.016 .6700756 6.47477 + 201 | 4.64638 2.311281 2.01 0.044 .1151056 9.177654 + 202 | 3.705235 1.782411 2.08 0.038 .2108129 7.199657 + 204 | .4013483 2.171719 0.18 0.853 -3.856314 4.659011 + 205 | 6.873425 2.21576 3.10 0.002 2.529421 11.21743 + 206 | 2.296142 1.733733 1.32 0.185 -1.102847 5.695132 + 207 | 5.029839 2.097813 2.40 0.017 .9170708 9.142607 + 208 | 2.761479 1.511609 1.83 0.068 -.2020357 5.724994 + 209 | 2.551585 3.537313 0.72 0.471 -4.383328 9.486498 + 299 | 6.162461 1.821373 3.38 0.001 2.591654 9.733268 + 300 | 4.907427 1.7344 2.83 0.005 1.507131 8.307723 + 301 | 4.437157 1.464467 3.03 0.002 1.566066 7.308249 + 302 | 4.665332 1.528143 3.05 0.002 1.669404 7.66126 + 321 | 5.264681 1.602547 3.29 0.001 2.122884 8.406479 + 322 | 3.895276 1.514691 2.57 0.010 .9257192 6.864833 + 323 | 3.06508 1.540906 1.99 0.047 .0441289 6.086031 + 324 | 2.709302 1.502566 1.80 0.071 -.2364841 5.655088 + 325 | 3.20558 1.57115 2.04 0.041 .1253347 6.285824 + 331 | 5.281381 1.508884 3.50 0.000 2.323209 8.239553 + 332 | 4.153412 1.454951 2.85 0.004 1.300976 7.005847 + 333 | 5.350826 1.606743 3.33 0.001 2.200802 8.500851 + 334 | 4.443763 1.640173 2.71 0.007 1.228198 7.659327 + 335 | 2.748 1.485132 1.85 0.064 -.1636057 5.659605 + 336 | 3.840908 1.504807 2.55 0.011 .8907303 6.791086 + 341 | 3.236987 1.611331 2.01 0.045 .0779684 6.396005 + 342 | 7.086313 2.658609 2.67 0.008 1.874103 12.29852 + 343 | 6.88046 2.289818 3.00 0.003 2.391266 11.36965 + 344 | 4.812417 1.863793 2.58 0.010 1.158445 8.466389 + 398 | 4.743236 1.686864 2.81 0.005 1.436135 8.050338 + 399 | 1.290144 1.392703 0.93 0.354 -1.440255 4.020542 + 400 | 3.957792 1.817609 2.18 0.029 .3943637 7.521221 + 401 | .9992751 1.62791 0.61 0.539 -2.192247 4.190797 + 402 | 3.416272 1.581753 2.16 0.031 .3152401 6.517304 + 403 | 3.069472 1.514257 2.03 0.043 .1007665 6.038178 + 404 | 3.366242 1.85083 1.82 0.069 -.2623166 6.994801 + 405 | 5.036391 2.651765 1.90 0.058 -.1624026 10.23518 + 498 | 2.543132 1.749982 1.45 0.146 -.8877136 5.973978 + 499 | 2.348563 1.724044 1.36 0.173 -1.031431 5.728557 + 500 | 18.66199 11.22305 1.66 0.096 -3.340828 40.66481 + 501 | 4.689876 2.255205 2.08 0.038 .2685399 9.111213 + 502 | 4.523904 1.676303 2.70 0.007 1.237506 7.810301 + 503 | 3.219657 1.457591 2.21 0.027 .362046 6.077268 + 504 | 3.503041 1.628658 2.15 0.032 .3100523 6.69603 + 505 | 2.312399 1.938345 1.19 0.233 -1.487733 6.112531 + 506 | 4.534763 1.817028 2.50 0.013 .9724753 8.097052 + 508 | 3.047396 1.795464 1.70 0.090 -.4726163 6.567408 + 529 | 7.060981 2.107558 3.35 0.001 2.929107 11.19286 + 530 | 4.157636 1.525457 2.73 0.006 1.166973 7.148298 + 599 | 4.428566 2.791388 1.59 0.113 -1.043958 9.901091 + 600 | 3.225808 1.629834 1.98 0.048 .0305136 6.421102 + 601 | 4.333209 1.488293 2.91 0.004 1.415406 7.251011 + 602 | 3.243095 1.433813 2.26 0.024 .4321009 6.05409 + 603 | 5.203622 1.909746 2.72 0.006 1.45956 8.947684 + 604 | 1.586744 2.157211 0.74 0.462 -2.642476 5.815963 + 606 | 5.917064 3.009201 1.97 0.049 .0175166 11.81661 + 607 | 4.370376 1.632138 2.68 0.007 1.170564 7.570188 + 609 | 5.871845 2.695396 2.18 0.029 .5875136 11.15618 + 698 | 1.558836 2.903097 0.54 0.591 -4.132695 7.250368 + 699 | 3.867571 1.827924 2.12 0.034 .2839194 7.451222 + 700 | 2.506645 1.560835 1.61 0.108 -.5533767 5.566667 + 701 | 3.673977 1.735285 2.12 0.034 .2719462 7.076009 + 703 | 4.551881 2.208843 2.06 0.039 .2214373 8.882325 + 704 | 2.244902 1.460978 1.54 0.124 -.6193496 5.109153 + 705 | 2.07707 1.448386 1.43 0.152 -.7624946 4.916634 + 707 | 1.596497 1.402846 1.14 0.255 -1.153787 4.34678 + 708 | 4.010623 1.805778 2.22 0.026 .4703898 7.550856 + 709 | 2.783912 1.411158 1.97 0.049 .0173331 5.55049 + 710 | 2.132807 1.494145 1.43 0.154 -.7964696 5.062083 + 711 | 1.08706 1.44934 0.75 0.453 -1.754377 3.928496 + 798 | -1.105372 1.768451 -0.63 0.532 -4.572425 2.36168 + 799 | 7.810495 5.011683 1.56 0.119 -2.014924 17.63592 + 800 | 1.771846 1.525258 1.16 0.245 -1.218427 4.762119 + 801 | 4.300364 2.616298 1.64 0.100 -.8288952 9.429623 + 802 | 1.334835 1.635041 0.82 0.414 -1.870669 4.540338 + 803 | 2.281207 1.432128 1.59 0.111 -.5264839 5.088898 + 805 | -1.444896 1.660321 -0.87 0.384 -4.69996 1.810167 + 806 | 2.029189 1.431295 1.42 0.156 -.7768685 4.835246 + 807 | 2.505619 1.54091 1.63 0.104 -.5153394 5.526577 + 898 | 5.497566 5.171231 1.06 0.288 -4.640649 15.63578 + 899 | 18.04275 11.98633 1.51 0.132 -5.456477 41.54198 + 1000 | 4.037243 1.717009 2.35 0.019 .6710409 7.403445 + 1001 | 5.581639 2.178991 2.56 0.010 1.309721 9.853558 + 1002 | 3.48716 1.793929 1.94 0.052 -.0298426 7.004163 + 1003 | 2.957277 1.586681 1.86 0.062 -.1534147 6.067969 + 1005 | 4.300237 2.206615 1.95 0.051 -.0258393 8.626313 + 1006 | 2.928283 1.527346 1.92 0.055 -.0660836 5.92265 + 1007 | 2.540021 1.606737 1.58 0.114 -.6099908 5.690034 + 1010 | 6.315576 3.279472 1.93 0.054 -.1138383 12.74499 + 1098 | 2.984197 3.025164 0.99 0.324 -2.946646 8.915041 + 1099 | 2.245153 2.28772 0.98 0.326 -2.239929 6.730235 + 1200 | 4.15142 2.070264 2.01 0.045 .092662 8.210178 + 1201 | 4.567749 1.817219 2.51 0.012 1.005086 8.130411 + 1202 | 8.579123 3.419741 2.51 0.012 1.87471 15.28354 + 1203 | 3.278209 1.489397 2.20 0.028 .3582413 6.198176 + 1204 | 4.656606 1.606704 2.90 0.004 1.506659 7.806554 + 1205 | 3.518113 1.543928 2.28 0.023 .4912372 6.544989 + 1206 | 5.896641 3.281316 1.80 0.072 -.5363889 12.32967 + 1207 | 2.463609 1.551052 1.59 0.112 -.5772342 5.504451 + 1208 | 3.544337 1.364917 2.60 0.009 .8684127 6.220261 + 1209 | 4.674872 1.48956 3.14 0.002 1.754585 7.595159 + 1210 | 4.265107 1.61263 2.64 0.008 1.10354 7.426674 + 1211 | 3.65348 1.76723 2.07 0.039 .1888196 7.11814 + 1299 | 2.393158 2.026188 1.18 0.238 -1.579189 6.365505 + 1300 | 6.59405 1.770484 3.72 0.000 3.123012 10.06509 + 1301 | 2.967348 1.646851 1.80 0.072 -.261308 6.196004 + 1302 | 5.058706 2.082712 2.43 0.015 .9755421 9.14187 + 1303 | 2.694564 1.39295 1.93 0.053 -.0363186 5.425446 + 1304 | 5.06295 1.963684 2.58 0.010 1.213143 8.912758 + 1305 | 3.114644 2.467705 1.26 0.207 -1.723299 7.952586 + 1399 | 4.172025 2.106281 1.98 0.048 .0426544 8.301396 + 1400 | 7.48396 1.936477 3.86 0.000 3.68749 11.28043 + 1401 | 2.530794 1.556908 1.63 0.104 -.5215298 5.583118 + 1403 | 4.54726 1.518602 2.99 0.003 1.570036 7.524485 + 1404 | 1.121838 1.892074 0.59 0.553 -2.587578 4.831255 + 1405 | 1.06423 1.693724 0.63 0.530 -2.256322 4.384782 + 1406 | 3.053327 1.693489 1.80 0.071 -.2667628 6.373417 + 1407 | 5.322047 2.217139 2.40 0.016 .9753403 9.668755 + 1408 | 3.35644 1.542592 2.18 0.030 .3321831 6.380696 + 1409 | 2.396134 1.76299 1.36 0.174 -1.060212 5.852481 + 1410 | 3.947427 2.186999 1.80 0.071 -.3401916 8.235045 + 1499 | .0557715 1.569346 0.04 0.972 -3.020936 3.132479 + 1500 | 1.743611 1.479836 1.18 0.239 -1.157612 4.644834 + 1501 | 2.493097 1.477868 1.69 0.092 -.404267 5.390462 + 1502 | 5.78455 1.537786 3.76 0.000 2.769715 8.799384 + 1504 | 1.709593 1.509999 1.13 0.258 -1.250765 4.669952 + 1505 | 2.77066 1.72395 1.61 0.108 -.6091492 6.15047 + 1507 | 3.148665 1.804584 1.74 0.081 -.3892264 6.686557 + 1520 | 3.109858 1.587761 1.96 0.050 -.0029518 6.222668 + 1521 | 4.007019 1.626215 2.46 0.014 .8188191 7.19522 + 1522 | 9.634971 2.458851 3.92 0.000 4.814386 14.45556 + 1523 | 2.870309 1.523644 1.88 0.060 -.116799 5.857417 + 1524 | 5.316296 2.8045 1.90 0.058 -.1819344 10.81453 + 1525 | 2.543717 1.476618 1.72 0.085 -.3511974 5.438631 + 1526 | 2.768731 1.555173 1.78 0.075 -.2801901 5.817652 + 1599 | 3.993217 1.771397 2.25 0.024 .5203865 7.466047 + 1600 | 4.852279 1.865017 2.60 0.009 1.195907 8.508652 + 1602 | 2.971982 2.594515 1.15 0.252 -2.114573 8.058537 + 1603 | 1.414783 2.762754 0.51 0.609 -4.001605 6.831171 + 1604 | 4.181248 2.176026 1.92 0.055 -.0848584 8.447354 + 1605 | 6.949505 1.767702 3.93 0.000 3.48392 10.41509 + 1606 | 6.52342 3.030882 2.15 0.031 .581367 12.46547 + 1608 | 5.812983 1.49139 3.90 0.000 2.889109 8.736857 + 1609 | 3.693079 1.531279 2.41 0.016 .691002 6.695157 + 1610 | 8.608794 3.024273 2.85 0.004 2.679698 14.53789 + 1611 | 2.038171 1.718573 1.19 0.236 -1.331096 5.407438 + 1612 | 5.18064 1.973047 2.63 0.009 1.312476 9.048805 + 1614 | 2.544698 1.993674 1.28 0.202 -1.363905 6.453301 + 1615 | 5.19374 1.737584 2.99 0.003 1.7872 8.600279 + 1616 | .7832238 1.317959 0.59 0.552 -1.800638 3.367086 + 1617 | 2.574515 1.876693 1.37 0.170 -1.104747 6.253776 + 1619 | 7.834651 2.591137 3.02 0.003 2.75472 12.91458 + 1620 | .9932359 1.581238 0.63 0.530 -2.106786 4.093258 + 1698 | -.1967289 1.845196 -0.11 0.915 -3.814241 3.420783 + 1699 | 4.565269 2.015018 2.27 0.024 .6148206 8.515718 + 1700 | 5.744167 2.640359 2.18 0.030 .5677351 10.9206 + 1701 | 3.321764 2.038945 1.63 0.103 -.6755942 7.319122 + 1704 | 20.09562 9.809305 2.05 0.041 .8644522 39.3268 + 1705 | 1.436172 3.072463 0.47 0.640 -4.5874 7.459745 + 1706 | 1.991855 1.643792 1.21 0.226 -1.230804 5.214515 + 1707 | 3.48179 1.550269 2.25 0.025 .4424832 6.521097 + 1708 | 7.594157 2.897052 2.62 0.009 1.914478 13.27384 + 1709 | 5.627573 1.70343 3.30 0.001 2.287993 8.967154 + 1798 | 2.101199 1.573025 1.34 0.182 -.982722 5.185119 + 1799 | 2.378253 2.872311 0.83 0.408 -3.252921 8.009427 + 1800 | 2.353481 1.618368 1.45 0.146 -.8193338 5.526295 + 1802 | 5.136997 1.553037 3.31 0.001 2.092264 8.181731 + 1803 | 5.4217 2.066565 2.62 0.009 1.370194 9.473206 + 1804 | 1.635494 1.582126 1.03 0.301 -1.466269 4.737257 + 1806 | 5.94811 1.926714 3.09 0.002 2.170781 9.72544 + 1807 | -.3257739 1.470784 -0.22 0.825 -3.209251 2.557703 + 1808 | 21.07277 9.250285 2.28 0.023 2.937554 39.20798 + 1899 | 13.84472 5.244357 2.64 0.008 3.563143 24.1263 + 1900 | 3.177103 1.693371 1.88 0.061 -.1427564 6.496962 + 1901 | 4.112481 1.511859 2.72 0.007 1.148476 7.076486 + 1902 | 7.106904 2.117537 3.36 0.001 2.955466 11.25834 + 1905 | 3.547942 1.879207 1.89 0.059 -.1362494 7.232134 + 1906 | 7.539722 3.652183 2.06 0.039 .3796049 14.69984 + 1907 | 5.886407 2.796049 2.11 0.035 .4047444 11.36807 + 1908 | 13.7837 5.998049 2.30 0.022 2.024507 25.54289 + 1909 | 6.692966 2.590653 2.58 0.010 1.613982 11.77195 + 1910 | 7.12376 2.245664 3.17 0.002 2.72113 11.52639 + 1911 | 2.84137 1.961764 1.45 0.148 -1.004674 6.687414 + 1912 | -.9943029 2.011981 -0.49 0.621 -4.938797 2.950191 + 1914 | 5.807373 1.893969 3.07 0.002 2.094242 9.520505 + 1915 | 8.614234 7.185091 1.20 0.231 -5.472158 22.70063 + 1919 | 5.970793 2.212958 2.70 0.007 1.632283 10.3093 + 1920 | 4.306434 1.813297 2.37 0.018 .7514602 7.861407 + 1925 | 4.665587 1.759918 2.65 0.008 1.215262 8.115912 + 1926 | 1.853246 1.599692 1.16 0.247 -1.282956 4.989448 + 1927 | 5.828443 3.418845 1.70 0.088 -.8742137 12.5311 + 1929 | 3.707268 1.8578 2.00 0.046 .0650443 7.349491 + 1999 | 1.641702 2.330669 0.70 0.481 -2.927581 6.210986 + 2000 | .2866534 1.443019 0.20 0.843 -2.54239 3.115696 + 2001 | 3.70109 1.92723 1.92 0.055 -.0772504 7.479431 + 2002 | 2.339998 1.497448 1.56 0.118 -.5957524 5.275749 + 2003 | 3.401032 1.469197 2.31 0.021 .5206671 6.281396 + 2004 | 2.662475 1.411575 1.89 0.059 -.1049218 5.429873 + 2005 | 6.24046 2.340895 2.67 0.008 1.651128 10.82979 + 2006 | 6.834202 1.699358 4.02 0.000 3.502605 10.1658 + 2007 | 2.987354 1.757415 1.70 0.089 -.4580629 6.432771 + 2008 | 3.558161 1.416299 2.51 0.012 .7815028 6.334818 + 2009 | 2.768167 1.80956 1.53 0.126 -.7794814 6.315814 + 2010 | 45.65091 1.366921 33.40 0.000 42.97106 48.33076 + 2011 | 2.2308 1.557425 1.43 0.152 -.8225356 5.284136 + 2012 | 2.591938 1.432761 1.81 0.071 -.216994 5.400869 + 2013 | 3.693465 1.794334 2.06 0.040 .1756674 7.211263 + 2014 | 2.028089 2.101635 0.97 0.335 -2.092173 6.14835 + 2015 | 4.45962 2.233214 2.00 0.046 .0813969 8.837843 + 2030 | 2.740031 2.083565 1.32 0.189 -1.344805 6.824866 + 2099 | 4.55099 2.11906 2.15 0.032 .396566 8.705413 + 2100 | 1.543927 1.78164 0.87 0.386 -1.948982 5.036837 + 2101 | 2.288552 1.448951 1.58 0.114 -.5521208 5.129224 + 2102 | 2.316591 1.411132 1.64 0.101 -.4499378 5.08312 + 2103 | 1.228161 1.435654 0.86 0.392 -1.586443 4.042765 + 2104 | .3359743 1.456937 0.23 0.818 -2.520355 3.192303 + 2105 | 1.713898 1.89443 0.90 0.366 -2.000137 5.427934 + 2199 | .5893566 3.519753 0.17 0.867 -6.31113 7.489843 + 9999 | 4.079882 1.725419 2.36 0.018 .6971933 7.462571 + | + house_administration | 1.190222 .9948109 1.20 0.232 -.7601073 3.140552 + house_agriculture | .5420867 .4276839 1.27 0.205 -.296389 1.380562 + house_appropriations | .6155502 1.076804 0.57 0.568 -1.495526 2.726627 + house_armedservices | -1.023325 .4248331 -2.41 0.016 -1.856211 -.1904381 + house_budget | 1.111162 .6048675 1.84 0.066 -.0746825 2.297007 + house_dc | 4.506827 2.801082 1.61 0.108 -.9847027 9.998356 + house_educlabor | .563834 .4138992 1.36 0.173 -.2476166 1.375285 + house_energycommerce | .3519027 .2470054 1.42 0.154 -.1323521 .8361574 + house_foreignaffairs | .1121609 .7289041 0.15 0.878 -1.316858 1.54118 + house_governmentop | .2028358 .6162427 0.33 0.742 -1.00531 1.410981 + house_intelligence | 3.951143 1.742601 2.27 0.023 .5347689 7.367516 + house_interior | .202813 .9603087 0.21 0.833 -1.679875 2.085501 + house_judiciary | .0294602 .3134607 0.09 0.925 -.5850804 .6440009 + house_mmf | 1.620208 .943341 1.72 0.086 -.2292148 3.469631 + house_pocs | .3863396 .7408853 0.52 0.602 -1.066168 1.838847 + house_pwt | .517097 .4977212 1.04 0.299 -.458687 1.492881 + house_rules | -.9863158 .4346144 -2.27 0.023 -1.838379 -.1342531 + house_sst | -1.133831 1.438465 -0.79 0.431 -3.953945 1.686284 + house_smallbusi | .2690041 1.175875 0.23 0.819 -2.036303 2.574311 + house_soc | -.799067 1.841067 -0.43 0.664 -4.408485 2.810351 + house_veterans | 1.406186 .9766973 1.44 0.150 -.5086321 3.321004 + house_waysandmeans | -.7569446 .2586098 -2.93 0.003 -1.26395 -.2499392 +house_naturalresources | -.776886 .4309124 -1.80 0.071 -1.621691 .0679191 + house_bfs | .4431131 .4143833 1.07 0.285 -.3692867 1.255513 + house_eeo | .5393725 .7610613 0.71 0.479 -.9526905 2.031435 + house_govreform | 1.691131 .591828 2.86 0.004 .5308504 2.851411 + house_ir | 2.758249 .7867313 3.51 0.000 1.21586 4.300638 + house_natsecur | -1.041996 .7825302 -1.33 0.183 -2.576149 .4921563 + house_oversight | -.6956535 .5657297 -1.23 0.219 -1.804768 .4134613 + house_resources | .4985134 .4546197 1.10 0.273 -.3927699 1.389797 + house_science | 2.864747 .8569395 3.34 0.001 1.184714 4.544779 + house_transp | .6070714 .3942839 1.54 0.124 -.1659234 1.380066 + house_homeland | .2089627 .717076 0.29 0.771 -1.196867 1.614792 + _cons | 2.571629 1.405222 1.83 0.067 -.1833124 5.32657 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,403 1 0 1 1 + + +j = 4 k = 2 + + +rdbwselect_2014 pct_cosponsors_leader MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6186 +----------------------+---------------------- NN matches = 3 + Number of obs | 2192 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 25.43871 47.04334 .5407506 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(6,677 missing values generated) +(54,574 missing values generated) +(47,897 real changes made) +reg pct_cosponsors_leader sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==100 & tag_bill==1, robust cluster(group_sponsor) +(sum of wgt is 61,739.6223663092) + +Linear regression Number of obs = 29,559 + F(268, 2277) = . + Prob > F = . + R-squared = 0.0656 + Root MSE = 9.5814 + + (Std. Err. adjusted for 2,278 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + pct_cosponsors_leader | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -.5758858 .2389949 -2.41 0.016 -1.044556 -.1072153 + | + v2 | + 102 | .1245665 .5898198 0.21 0.833 -1.032074 1.281207 + 103 | -.8145358 .607069 -1.34 0.180 -2.005002 .3759303 + 104 | -2.26018 .7167529 -3.15 0.002 -3.665737 -.8546227 + 105 | -.7971122 .5785942 -1.38 0.168 -1.931739 .3375148 + 106 | -1.154429 .6455692 -1.79 0.074 -2.420395 .111536 + 107 | -.0186141 .8009215 -0.02 0.981 -1.589226 1.551998 + 108 | .6918852 .6337123 1.09 0.275 -.5508287 1.934599 + 109 | -.0597718 .6461464 -0.09 0.926 -1.326869 1.207325 + 110 | 2.078199 .6498266 3.20 0.001 .8038846 3.352513 + 111 | -1.264945 .6238533 -2.03 0.043 -2.488325 -.0415643 + | + minor | + 101 | 1.143151 3.792325 0.30 0.763 -6.293622 8.579924 + 103 | -5.696376 1.926716 -2.96 0.003 -9.474678 -1.918074 + 104 | -1.665692 2.415578 -0.69 0.491 -6.402656 3.071272 + 105 | -.7806739 2.06718 -0.38 0.706 -4.834427 3.273079 + 107 | -.5597063 1.951084 -0.29 0.774 -4.385794 3.266382 + 108 | 1.227391 2.566052 0.48 0.632 -3.804652 6.259435 + 110 | -3.896977 2.449822 -1.59 0.112 -8.701094 .9071392 + 200 | 1.211866 2.139606 0.57 0.571 -2.983916 5.407647 + 201 | 2.017249 2.754761 0.73 0.464 -3.384856 7.419353 + 202 | 2.04116 2.311147 0.88 0.377 -2.491015 6.573335 + 204 | 1.066927 3.018126 0.35 0.724 -4.851637 6.985491 + 205 | 4.409416 2.805517 1.57 0.116 -1.09222 9.911052 + 206 | -.2994383 2.476756 -0.12 0.904 -5.156373 4.557496 + 207 | 4.463815 2.142888 2.08 0.037 .2615982 8.666032 + 208 | -.1476572 2.192607 -0.07 0.946 -4.447373 4.152059 + 209 | .4017876 4.471664 0.09 0.928 -8.367173 9.170748 + 299 | 4.927924 3.984551 1.24 0.216 -2.885806 12.74165 + 300 | 1.858422 2.288175 0.81 0.417 -2.628704 6.345549 + 301 | .9919407 2.088169 0.48 0.635 -3.102971 5.086853 + 302 | 1.288718 2.059129 0.63 0.531 -2.749247 5.326684 + 321 | 3.991416 2.245523 1.78 0.076 -.4120692 8.394901 + 322 | 1.961442 2.276046 0.86 0.389 -2.5019 6.424783 + 323 | .3622325 2.302934 0.16 0.875 -4.153836 4.878301 + 324 | -.8339548 2.045458 -0.41 0.684 -4.845111 3.177201 + 325 | -.0042017 2.156484 -0.00 0.998 -4.233081 4.224678 + 331 | 2.987219 2.119869 1.41 0.159 -1.169858 7.144296 + 332 | .8075909 1.995928 0.40 0.686 -3.106436 4.721618 + 333 | 2.000837 2.159227 0.93 0.354 -2.233422 6.235096 + 334 | .7043813 2.039917 0.35 0.730 -3.295909 4.704671 + 335 | -.2179228 2.062635 -0.11 0.916 -4.262764 3.826918 + 336 | 1.118007 2.090949 0.53 0.593 -2.982357 5.21837 + 341 | 1.514308 2.117307 0.72 0.475 -2.637744 5.666361 + 342 | 5.354093 3.617915 1.48 0.139 -1.74066 12.44885 + 343 | 6.209148 3.517569 1.77 0.078 -.6888271 13.10712 + 344 | 1.689405 2.317863 0.73 0.466 -2.85594 6.23475 + 398 | 2.401813 2.53404 0.95 0.343 -2.567456 7.371082 + 399 | -.7089487 2.251734 -0.31 0.753 -5.124613 3.706716 + 400 | 1.97531 2.538057 0.78 0.436 -3.001836 6.952456 + 401 | -1.776399 2.24317 -0.79 0.428 -6.17527 2.622472 + 402 | -.5798279 2.232436 -0.26 0.795 -4.95765 3.797994 + 403 | .3812725 2.08313 0.18 0.855 -3.703759 4.466304 + 404 | 3.178163 2.509511 1.27 0.205 -1.743005 8.099331 + 405 | 5.621931 3.963733 1.42 0.156 -2.150975 13.39484 + 498 | -.3169354 2.311066 -0.14 0.891 -4.84895 4.215079 + 499 | -.4692783 2.96946 -0.16 0.874 -6.292407 5.353851 + 500 | -2.482188 2.305085 -1.08 0.282 -7.002476 2.038099 + 501 | -.2317706 2.074696 -0.11 0.911 -4.300263 3.836722 + 502 | .452045 2.081213 0.22 0.828 -3.629226 4.533316 + 503 | -.1019346 1.944502 -0.05 0.958 -3.915115 3.711246 + 504 | .5160517 2.225073 0.23 0.817 -3.84733 4.879433 + 505 | 2.251395 2.279908 0.99 0.324 -2.219518 6.722309 + 506 | 2.647158 2.14416 1.23 0.217 -1.557553 6.851869 + 508 | .3010568 2.204253 0.14 0.891 -4.021496 4.62361 + 529 | 6.037531 1.994478 3.03 0.002 2.126346 9.948716 + 530 | 1.623796 1.992799 0.81 0.415 -2.284095 5.531687 + 599 | 3.302064 3.691988 0.89 0.371 -3.937947 10.54208 + 600 | -.122427 2.217142 -0.06 0.956 -4.470256 4.225402 + 601 | 1.229351 2.050443 0.60 0.549 -2.791581 5.250283 + 602 | .4100778 1.940527 0.21 0.833 -3.395309 4.215465 + 603 | 3.113522 2.38207 1.31 0.191 -1.557731 7.784776 + 604 | .0497105 2.838249 0.02 0.986 -5.516115 5.615536 + 606 | 3.779054 3.92836 0.96 0.336 -3.924486 11.48259 + 607 | .8654339 2.075989 0.42 0.677 -3.205594 4.936462 + 609 | 1.79607 3.655971 0.49 0.623 -5.373312 8.965452 + 698 | -.7478876 3.800305 -0.20 0.844 -8.20031 6.704535 + 699 | 1.968898 2.354285 0.84 0.403 -2.64787 6.585666 + 700 | .4253046 2.434202 0.17 0.861 -4.348181 5.19879 + 701 | 1.777239 2.587677 0.69 0.492 -3.297212 6.85169 + 703 | .4581272 2.588636 0.18 0.860 -4.618204 5.534458 + 704 | 1.031634 2.171202 0.48 0.635 -3.226108 5.289375 + 705 | -.9485134 2.063613 -0.46 0.646 -4.995271 3.098244 + 707 | -.2031918 2.106341 -0.10 0.923 -4.33374 3.927356 + 708 | 1.167221 2.34919 0.50 0.619 -3.439556 5.773998 + 709 | .5667054 2.181024 0.26 0.795 -3.710296 4.843706 + 710 | 1.83207 2.175713 0.84 0.400 -2.434518 6.098658 + 711 | -.6182615 2.081453 -0.30 0.766 -4.700003 3.46348 + 798 | .5987499 2.712003 0.22 0.825 -4.719505 5.917005 + 799 | 16.79105 6.90237 2.43 0.015 3.255457 30.32664 + 800 | -1.528112 2.091698 -0.73 0.465 -5.629945 2.573721 + 801 | 4.422228 3.393243 1.30 0.193 -2.231943 11.0764 + 802 | -1.36237 2.278636 -0.60 0.550 -5.83079 3.10605 + 803 | .3733726 2.09411 0.18 0.859 -3.73319 4.479935 + 805 | .0101112 2.230419 0.00 0.996 -4.363755 4.383978 + 806 | -.2439324 1.998944 -0.12 0.903 -4.163874 3.676009 + 807 | -1.231511 1.987408 -0.62 0.536 -5.12883 2.665809 + 898 | -4.237248 2.46764 -1.72 0.086 -9.076307 .6018102 + 899 | -2.818486 2.581769 -1.09 0.275 -7.881351 2.244379 + 1000 | 1.325759 2.390249 0.55 0.579 -3.361535 6.013053 + 1001 | .8922244 2.874141 0.31 0.756 -4.743985 6.528434 + 1002 | -.2763247 2.264314 -0.12 0.903 -4.716659 4.16401 + 1003 | .7005061 2.158662 0.32 0.746 -3.532643 4.933655 + 1005 | 4.406153 3.971715 1.11 0.267 -3.382405 12.19471 + 1006 | -.3221371 2.085197 -0.15 0.877 -4.411222 3.766948 + 1007 | 4.70783 2.400755 1.96 0.050 -.0000651 9.415725 + 1010 | 1.441933 2.330121 0.62 0.536 -3.127448 6.011315 + 1098 | -1.257848 3.526006 -0.36 0.721 -8.172367 5.656672 + 1099 | -.573348 3.316542 -0.17 0.863 -7.077107 5.930411 + 1200 | -1.434297 2.123615 -0.68 0.499 -5.598721 2.730126 + 1201 | 2.425314 2.735328 0.89 0.375 -2.938682 7.789309 + 1202 | 3.81128 3.060532 1.25 0.213 -2.190442 9.813002 + 1203 | .1732227 2.196244 0.08 0.937 -4.133626 4.480072 + 1204 | 2.286659 2.812707 0.81 0.416 -3.229077 7.802395 + 1205 | 3.405617 2.306678 1.48 0.140 -1.117793 7.929028 + 1206 | 2.07941 2.461049 0.84 0.398 -2.746722 6.905542 + 1207 | .1897873 2.978934 0.06 0.949 -5.651921 6.031496 + 1208 | .9074823 1.987155 0.46 0.648 -2.989341 4.804306 + 1209 | 2.124529 2.172874 0.98 0.328 -2.136491 6.385549 + 1210 | 1.620035 2.196268 0.74 0.461 -2.686861 5.926931 + 1211 | 2.067619 2.558481 0.81 0.419 -2.949578 7.084815 + 1299 | 1.770826 3.171921 0.56 0.577 -4.449332 7.990983 + 1300 | 3.928863 2.604035 1.51 0.131 -1.177666 9.035393 + 1301 | .6783805 2.117098 0.32 0.749 -3.473262 4.830023 + 1302 | -1.117711 2.176588 -0.51 0.608 -5.386013 3.150591 + 1303 | .1619365 2.075549 0.08 0.938 -3.908228 4.232101 + 1304 | .2672815 2.122067 0.13 0.900 -3.894105 4.428668 + 1305 | -2.863881 2.591802 -1.10 0.269 -7.946422 2.218659 + 1399 | .3020972 2.770394 0.11 0.913 -5.130663 5.734857 + 1400 | 3.381052 2.460128 1.37 0.169 -1.443275 8.205378 + 1401 | -.1095657 2.125797 -0.05 0.959 -4.278267 4.059135 + 1403 | 1.560047 2.103848 0.74 0.458 -2.565612 5.685705 + 1404 | -.4212575 2.905804 -0.14 0.885 -6.119558 5.277043 + 1405 | -1.719169 2.087998 -0.82 0.410 -5.813748 2.375409 + 1406 | 1.300174 2.335528 0.56 0.578 -3.279811 5.88016 + 1407 | -1.081616 3.028729 -0.36 0.721 -7.020973 4.85774 + 1408 | 1.233531 2.067338 0.60 0.551 -2.820532 5.287594 + 1409 | 3.046712 2.47711 1.23 0.219 -1.810916 7.904339 + 1410 | 2.989425 3.133381 0.95 0.340 -3.155156 9.134006 + 1499 | -3.62641 2.027557 -1.79 0.074 -7.602461 .3496421 + 1500 | .6988807 2.442745 0.29 0.775 -4.091358 5.48912 + 1501 | -.3216149 2.005412 -0.16 0.873 -4.25424 3.61101 + 1502 | 3.192052 2.067989 1.54 0.123 -.8632877 7.247391 + 1504 | -.285414 2.110151 -0.14 0.892 -4.423433 3.852605 + 1505 | -.681073 2.467541 -0.28 0.783 -5.519937 4.157791 + 1507 | 1.219915 2.708586 0.45 0.652 -4.091638 6.531469 + 1520 | -.0518898 2.119485 -0.02 0.980 -4.208213 4.104434 + 1521 | -.9134722 2.194619 -0.42 0.677 -5.217134 3.390189 + 1522 | 4.037102 2.733036 1.48 0.140 -1.322398 9.396602 + 1523 | 1.394616 2.338328 0.60 0.551 -3.190859 5.980092 + 1524 | 4.09407 3.527669 1.16 0.246 -2.823712 11.01185 + 1525 | -.3383538 2.056296 -0.16 0.869 -4.370763 3.694056 + 1526 | -2.198522 2.062505 -1.07 0.287 -6.243108 1.846063 + 1599 | 2.186429 2.669405 0.82 0.413 -3.048292 7.42115 + 1600 | 3.547312 2.802036 1.27 0.206 -1.947499 9.042123 + 1602 | .5621508 2.572123 0.22 0.827 -4.481799 5.606101 + 1603 | -4.619214 4.315478 -1.07 0.285 -13.08189 3.843465 + 1604 | .8943143 2.645053 0.34 0.735 -4.292652 6.08128 + 1605 | 5.325203 2.411658 2.21 0.027 .5959266 10.05448 + 1606 | 6.13553 3.092409 1.98 0.047 .0712959 12.19976 + 1608 | 4.314257 2.062477 2.09 0.037 .2697276 8.358787 + 1609 | -.2524264 2.398596 -0.11 0.916 -4.956089 4.451236 + 1610 | 7.262352 3.655868 1.99 0.047 .0931727 14.43153 + 1611 | -1.173899 2.080204 -0.56 0.573 -5.253191 2.905394 + 1612 | .708974 2.146768 0.33 0.741 -3.500852 4.9188 + 1614 | 3.501322 2.720529 1.29 0.198 -1.833654 8.836297 + 1615 | 3.202016 2.458524 1.30 0.193 -1.619166 8.023198 + 1616 | -.1464041 2.224649 -0.07 0.948 -4.508955 4.216146 + 1617 | .0296233 2.566483 0.01 0.991 -5.003267 5.062513 + 1619 | 2.57898 2.457219 1.05 0.294 -2.239642 7.397602 + 1620 | -.7003951 2.30272 -0.30 0.761 -5.216044 3.815254 + 1698 | .8095001 4.004767 0.20 0.840 -7.043874 8.662874 + 1699 | .6211822 2.002059 0.31 0.756 -3.304869 4.547234 + 1700 | .0187707 2.477911 0.01 0.994 -4.840428 4.877969 + 1701 | 2.445125 2.799446 0.87 0.383 -3.044607 7.934856 + 1704 | 2.179011 3.418611 0.64 0.524 -4.524907 8.882929 + 1705 | -2.901618 3.426715 -0.85 0.397 -9.621428 3.818192 + 1706 | -1.589425 2.081256 -0.76 0.445 -5.670781 2.491932 + 1707 | .3001343 2.352983 0.13 0.899 -4.314079 4.914348 + 1708 | 6.763188 3.619421 1.87 0.062 -.3345206 13.8609 + 1709 | 1.372493 2.296097 0.60 0.550 -3.130169 5.875154 + 1798 | -.7108012 2.273211 -0.31 0.755 -5.168582 3.74698 + 1799 | -.618404 3.179414 -0.19 0.846 -6.853255 5.616447 + 1800 | .1214728 3.07894 0.04 0.969 -5.916348 6.159293 + 1802 | 2.902587 2.264227 1.28 0.200 -1.537577 7.34275 + 1803 | .5839232 2.122731 0.28 0.783 -3.578765 4.746611 + 1804 | -2.505376 2.045691 -1.22 0.221 -6.516988 1.506236 + 1806 | 3.178742 2.544651 1.25 0.212 -1.811335 8.16882 + 1807 | -2.76919 2.027809 -1.37 0.172 -6.745737 1.207357 + 1808 | 4.190029 5.00729 0.84 0.403 -5.629298 14.00936 + 1899 | 15.64622 5.210989 3.00 0.003 5.427441 25.865 + 1900 | 1.353809 2.331001 0.58 0.561 -3.217299 5.924917 + 1901 | 2.478431 2.118294 1.17 0.242 -1.675557 6.632419 + 1902 | 6.772769 3.450349 1.96 0.050 .0066127 13.53893 + 1905 | 1.583333 2.239857 0.71 0.480 -2.809041 5.975706 + 1906 | -.0786743 2.017391 -0.04 0.969 -4.034791 3.877442 + 1907 | 3.838155 3.245459 1.18 0.237 -2.52621 10.20252 + 1908 | 12.41719 8.471474 1.47 0.143 -4.195423 29.02981 + 1909 | 1.639896 3.567772 0.46 0.646 -5.356528 8.63632 + 1910 | 4.515235 4.248625 1.06 0.288 -3.816346 12.84682 + 1911 | 1.694648 2.748428 0.62 0.538 -3.695038 7.084333 + 1912 | -3.978854 2.455047 -1.62 0.105 -8.793218 .8355086 + 1914 | 3.616695 2.455927 1.47 0.141 -1.199394 8.432784 + 1915 | 10.91165 12.62804 0.86 0.388 -13.85202 35.67532 + 1919 | 6.753236 3.679532 1.84 0.067 -.4623506 13.96882 + 1920 | .5407199 2.221691 0.24 0.808 -3.816031 4.897471 + 1925 | 3.006982 2.186432 1.38 0.169 -1.280624 7.294589 + 1926 | 3.303974 2.465578 1.34 0.180 -1.531041 8.138989 + 1927 | .1473411 2.446444 0.06 0.952 -4.65015 4.944833 + 1929 | 3.532304 3.080173 1.15 0.252 -2.507934 9.572543 + 1999 | -.5576883 3.565218 -0.16 0.876 -7.549104 6.433727 + 2000 | .231797 2.245105 0.10 0.918 -4.170869 4.634463 + 2001 | 3.914769 3.312782 1.18 0.237 -2.581617 10.41115 + 2002 | 1.992529 2.358753 0.84 0.398 -2.633001 6.618058 + 2003 | 1.933195 2.175856 0.89 0.374 -2.333672 6.200063 + 2004 | 1.074509 2.073894 0.52 0.604 -2.99241 5.141427 + 2005 | 2.455424 4.733513 0.52 0.604 -6.827025 11.73787 + 2006 | 4.600778 2.347827 1.96 0.050 -.0033246 9.204881 + 2007 | 1.708242 2.299873 0.74 0.458 -2.801823 6.218307 + 2008 | 1.005033 1.980146 0.51 0.612 -2.878046 4.888113 + 2009 | 1.356157 2.93922 0.46 0.645 -4.407671 7.119985 + 2010 | 43.28483 2.006619 21.57 0.000 39.34984 47.21983 + 2011 | .5979222 2.56614 0.23 0.816 -4.434295 5.630139 + 2012 | .2208148 2.017611 0.11 0.913 -3.735733 4.177363 + 2013 | 1.761937 2.56941 0.69 0.493 -3.276692 6.800567 + 2014 | 4.49643 3.157026 1.42 0.155 -1.694517 10.68738 + 2015 | 1.567107 3.009364 0.52 0.603 -4.334275 7.468489 + 2030 | .0494494 3.172636 0.02 0.988 -6.17211 6.271009 + 2099 | 4.135238 3.418335 1.21 0.227 -2.568139 10.83861 + 2100 | -1.968105 2.57433 -0.76 0.445 -7.016383 3.080172 + 2101 | -.0528072 2.021845 -0.03 0.979 -4.017659 3.912044 + 2102 | -.2047382 2.030281 -0.10 0.920 -4.186132 3.776656 + 2103 | -1.06875 2.053482 -0.52 0.603 -5.095641 2.958142 + 2104 | -2.727603 2.018322 -1.35 0.177 -6.685546 1.23034 + 2105 | -2.936685 2.354567 -1.25 0.212 -7.554005 1.680635 + 2199 | -4.829793 2.032799 -2.38 0.018 -8.816126 -.8434606 + 9999 | 2.743362 2.294797 1.20 0.232 -1.756749 7.243473 + | + house_administration | 2.828326 1.675224 1.69 0.091 -.4567985 6.113451 + house_agriculture | .6772042 .5309645 1.28 0.202 -.3640206 1.718429 + house_appropriations | -2.717583 .8676742 -3.13 0.002 -4.419098 -1.016069 + house_armedservices | -1.062884 .6914863 -1.54 0.124 -2.418893 .2931247 + house_budget | 1.519197 .9732941 1.56 0.119 -.3894391 3.427833 + house_dc | -2.120073 2.677053 -0.79 0.428 -7.369791 3.129644 + house_educlabor | .9547019 .6928256 1.38 0.168 -.4039334 2.313337 + house_energycommerce | .5816067 .3247016 1.79 0.073 -.0551352 1.218349 + house_foreignaffairs | 1.157033 .6989772 1.66 0.098 -.2136652 2.527732 + house_governmentop | -1.12303 1.074884 -1.04 0.296 -3.230885 .9848255 + house_intelligence | 4.966241 2.680417 1.85 0.064 -.2900739 10.22255 + house_interior | -1.20908 .7815005 -1.55 0.122 -2.741608 .323447 + house_judiciary | -.2803289 .3998875 -0.70 0.483 -1.064511 .503853 + house_mmf | 2.488529 1.606028 1.55 0.121 -.6609022 5.637961 + house_pocs | -.3257141 1.260971 -0.26 0.796 -2.798486 2.147058 + house_pwt | 1.220954 .763132 1.60 0.110 -.2755529 2.717461 + house_rules | -.6738867 .6073035 -1.11 0.267 -1.864813 .5170393 + house_sst | 1.169766 1.233687 0.95 0.343 -1.249501 3.589033 + house_smallbusi | 1.770731 1.129356 1.57 0.117 -.4439431 3.985404 + house_soc | -2.313732 2.903596 -0.80 0.426 -8.007702 3.380238 + house_veterans | 2.940679 2.136658 1.38 0.169 -1.249321 7.130679 + house_waysandmeans | -.3660395 .510809 -0.72 0.474 -1.367739 .6356602 +house_naturalresources | -.43465 .5539829 -0.78 0.433 -1.521014 .651714 + house_bfs | .0215463 .5031458 0.04 0.966 -.9651257 1.008218 + house_eeo | 1.576727 .7271303 2.17 0.030 .1508198 3.002634 + house_govreform | .7083815 .4705238 1.51 0.132 -.2143188 1.631082 + house_ir | 1.223034 .699108 1.75 0.080 -.1479215 2.593989 + house_natsecur | -.4137553 .9843376 -0.42 0.674 -2.344048 1.516537 + house_oversight | .1577215 .6613196 0.24 0.812 -1.13913 1.454573 + house_resources | .9804279 .6908566 1.42 0.156 -.3743463 2.335202 + house_science | .7029988 .7795084 0.90 0.367 -.8256222 2.23162 + house_transp | -.1426304 .6186966 -0.23 0.818 -1.355898 1.070638 + house_homeland | .7708716 .8092509 0.95 0.341 -.8160745 2.357818 + _cons | 5.493181 1.976413 2.78 0.005 1.617423 9.368939 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,278 1 0 1 1 + + +j = 4 k = 3 + + +rdbwselect_2014 pct_cosponsors_leader MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 10.55892 17.44562 .6052474 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(6,677 missing values generated) +(54,574 missing values generated) +(47,897 real changes made) +reg pct_cosponsors_leader sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==200 & tag_bill==1, robust cluster(group_sponsor) +(sum of wgt is 52,070.9238821268) + +Linear regression Number of obs = 26,088 + F(267, 2120) = . + Prob > F = . + R-squared = 0.0974 + Root MSE = 9.3653 + + (Std. Err. adjusted for 2,121 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + pct_cosponsors_leader | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | .038724 .2363248 0.16 0.870 -.4247287 .5021768 + | + v2 | + 102 | .7484667 .6567218 1.14 0.255 -.5394197 2.036353 + 103 | -.4411621 .5264808 -0.84 0.402 -1.473635 .5913109 + 104 | -1.186129 .5312977 -2.23 0.026 -2.228048 -.1442095 + 105 | .1066864 .5995045 0.18 0.859 -1.068992 1.282365 + 106 | -1.338037 .4866329 -2.75 0.006 -2.292365 -.3837092 + 107 | -.4941836 .4977948 -0.99 0.321 -1.470401 .4820336 + 108 | .0055182 .5215448 0.01 0.992 -1.017275 1.028311 + 109 | -.4036279 .537325 -0.75 0.453 -1.457367 .6501114 + 110 | 2.017864 .5877158 3.43 0.001 .8653046 3.170424 + 111 | -1.26196 .5366457 -2.35 0.019 -2.314367 -.209553 + | + minor | + 101 | -.3207314 3.14363 -0.10 0.919 -6.485652 5.844189 + 103 | 5.103679 3.379471 1.51 0.131 -1.523747 11.7311 + 104 | 1.633221 3.099852 0.53 0.598 -4.445848 7.71229 + 105 | 1.233285 2.141172 0.58 0.565 -2.965733 5.432302 + 107 | 3.026776 1.990426 1.52 0.128 -.8766155 6.930168 + 108 | 6.25064 3.592616 1.74 0.082 -.7947803 13.29606 + 110 | -2.196896 2.928709 -0.75 0.453 -7.940338 3.546547 + 200 | 2.657833 2.111147 1.26 0.208 -1.482303 6.797969 + 201 | 2.185061 3.658403 0.60 0.550 -4.989374 9.359495 + 202 | -.3305951 3.142516 -0.11 0.916 -6.493332 5.832142 + 204 | 1.46208 2.763726 0.53 0.597 -3.957818 6.881979 + 205 | 5.757611 3.112306 1.85 0.064 -.3458819 11.8611 + 206 | 1.353592 2.200021 0.62 0.538 -2.960834 5.668018 + 207 | .5224276 2.789982 0.19 0.851 -4.94896 5.993815 + 208 | 2.084639 2.093748 1.00 0.320 -2.021376 6.190654 + 209 | -3.427074 1.912665 -1.79 0.073 -7.177969 .3238213 + 299 | 5.521411 2.256984 2.45 0.015 1.095276 9.947545 + 300 | 3.024319 2.511938 1.20 0.229 -1.901801 7.950439 + 301 | 3.708903 1.947904 1.90 0.057 -.111099 7.528905 + 302 | 4.044488 2.19882 1.84 0.066 -.2675813 8.356558 + 321 | 3.84923 2.340339 1.64 0.100 -.7403713 8.438831 + 322 | 1.342192 2.003312 0.67 0.503 -2.58647 5.270853 + 323 | 1.57763 2.14208 0.74 0.462 -2.623169 5.778429 + 324 | 1.156986 2.031674 0.57 0.569 -2.827298 5.141269 + 325 | 3.2851 2.308871 1.42 0.155 -1.24279 7.81299 + 331 | 3.608921 2.009299 1.80 0.073 -.3314828 7.549326 + 332 | 4.555135 2.467832 1.85 0.065 -.2844901 9.39476 + 333 | 4.703164 2.516411 1.87 0.062 -.2317272 9.638056 + 334 | 4.17127 2.428353 1.72 0.086 -.590934 8.933474 + 335 | 1.008421 2.036822 0.50 0.621 -2.985958 5.002799 + 336 | 2.653789 2.080657 1.28 0.202 -1.426553 6.734131 + 341 | .3921884 2.319678 0.17 0.866 -4.156895 4.941271 + 342 | 3.827679 2.427738 1.58 0.115 -.9333186 8.588677 + 343 | 2.601653 2.110294 1.23 0.218 -1.53681 6.740116 + 344 | 3.419926 2.863261 1.19 0.232 -2.195168 9.035021 + 398 | 3.225509 2.113605 1.53 0.127 -.919446 7.370465 + 399 | .6813395 2.18853 0.31 0.756 -3.61055 4.973229 + 400 | 2.531182 2.56236 0.99 0.323 -2.49382 7.556185 + 401 | .7328331 2.164251 0.34 0.735 -3.511445 4.977111 + 402 | 4.904287 2.675442 1.83 0.067 -.3424789 10.15105 + 403 | .2700619 1.994299 0.14 0.892 -3.640925 4.181049 + 404 | .1477336 2.221759 0.07 0.947 -4.209321 4.504788 + 405 | -2.576853 2.414188 -1.07 0.286 -7.311279 2.157572 + 498 | 2.147932 3.606486 0.60 0.552 -4.92469 9.220553 + 499 | 1.461021 2.132184 0.69 0.493 -2.72037 5.642413 + 500 | 17.45485 9.651478 1.81 0.071 -1.472504 36.38221 + 501 | 9.277723 4.9424 1.88 0.061 -.4147367 18.97018 + 502 | 5.014714 2.513245 2.00 0.046 .0860299 9.943398 + 503 | 1.966932 2.053668 0.96 0.338 -2.060482 5.994346 + 504 | 3.013467 2.143099 1.41 0.160 -1.189329 7.216263 + 505 | .3412762 2.493748 0.14 0.891 -4.549172 5.231725 + 506 | 2.385579 3.192842 0.75 0.455 -3.875851 8.647008 + 508 | .228074 2.161349 0.11 0.916 -4.010513 4.466661 + 529 | 1.290681 2.24824 0.57 0.566 -3.118305 5.699668 + 530 | 2.224709 2.063745 1.08 0.281 -1.822467 6.271886 + 599 | 2.341614 3.567125 0.66 0.512 -4.653816 9.337044 + 600 | 2.265803 2.293454 0.99 0.323 -2.231852 6.763457 + 601 | 4.422245 2.595814 1.70 0.089 -.6683624 9.512853 + 602 | 2.286113 2.064193 1.11 0.268 -1.761942 6.334169 + 603 | 1.799842 2.302228 0.78 0.434 -2.715019 6.314703 + 604 | .3629684 3.175878 0.11 0.909 -5.865195 6.591132 + 606 | 2.526869 2.485001 1.02 0.309 -2.346426 7.400163 + 607 | 4.607072 2.994195 1.54 0.124 -1.264795 10.47894 + 609 | 6.912346 5.051969 1.37 0.171 -2.994987 16.81968 + 698 | .2263352 4.535251 0.05 0.960 -8.667672 9.120342 + 699 | -.1208388 2.229603 -0.05 0.957 -4.493277 4.251599 + 700 | 1.168992 2.125277 0.55 0.582 -2.998853 5.336837 + 701 | 1.481217 2.175418 0.68 0.496 -2.78496 5.747393 + 703 | 2.181407 2.150001 1.01 0.310 -2.034924 6.397738 + 704 | -.2071503 1.989153 -0.10 0.917 -4.108046 3.693745 + 705 | 1.5259 2.067551 0.74 0.461 -2.528739 5.58054 + 707 | .5721546 2.657978 0.22 0.830 -4.640362 5.784671 + 708 | 1.387423 2.718271 0.51 0.610 -3.943333 6.71818 + 709 | 1.090809 1.917786 0.57 0.570 -2.67013 4.851748 + 710 | -1.859299 1.970819 -0.94 0.346 -5.724239 2.005642 + 711 | -.3023835 1.973052 -0.15 0.878 -4.171704 3.566937 + 798 | -4.433069 2.306809 -1.92 0.055 -8.956913 .0907754 + 799 | -.3506445 2.260949 -0.16 0.877 -4.784554 4.083265 + 800 | 1.452949 2.408778 0.60 0.546 -3.270866 6.176764 + 801 | -.8021788 2.14215 -0.37 0.708 -5.003113 3.398756 + 802 | -.366527 2.011979 -0.18 0.855 -4.312187 3.579133 + 803 | .6751321 1.926055 0.35 0.726 -3.102022 4.452287 + 805 | -3.016706 2.193099 -1.38 0.169 -7.317557 1.284146 + 806 | -.2899423 1.989762 -0.15 0.884 -4.192031 3.612147 + 807 | 2.751599 2.363961 1.16 0.245 -1.884326 7.387525 + 898 | 20.13545 4.924533 4.09 0.000 10.47803 29.79287 + 899 | 23.92063 13.65392 1.75 0.080 -2.855845 50.6971 + 1000 | 3.337319 2.485646 1.34 0.180 -1.537242 8.211879 + 1001 | 4.722283 2.453456 1.92 0.054 -.0891493 9.533716 + 1002 | 4.418907 3.072745 1.44 0.151 -1.607002 10.44482 + 1003 | 1.779375 2.329274 0.76 0.445 -2.788527 6.347277 + 1005 | 5.176297 3.093609 1.67 0.094 -.8905277 11.24312 + 1006 | 2.298883 2.133718 1.08 0.281 -1.885516 6.483282 + 1007 | -.1474841 2.03719 -0.07 0.942 -4.142584 3.847615 + 1010 | 14.84517 9.578247 1.55 0.121 -3.938575 33.62891 + 1098 | 5.527813 6.325332 0.87 0.382 -6.876693 17.93232 + 1099 | .5643001 3.25054 0.17 0.862 -5.810281 6.938881 + 1200 | 7.812814 3.672673 2.13 0.034 .6103947 15.01523 + 1201 | 4.047958 2.522385 1.60 0.109 -.8986506 8.994566 + 1202 | 8.431429 4.350053 1.94 0.053 -.0993887 16.96225 + 1203 | 3.125707 2.07482 1.51 0.132 -.943188 7.194602 + 1204 | 4.424311 2.080922 2.13 0.034 .3434483 8.505174 + 1205 | -.3433722 1.970929 -0.17 0.862 -4.208528 3.521784 + 1206 | 9.516019 6.776407 1.40 0.160 -3.773081 22.80512 + 1207 | 1.555493 2.059795 0.76 0.450 -2.483938 5.594923 + 1208 | 3.273933 1.985873 1.65 0.099 -.6205311 7.168397 + 1209 | 4.333788 2.194008 1.98 0.048 .0311545 8.636422 + 1210 | 2.636555 2.283513 1.15 0.248 -1.841606 7.114716 + 1211 | .6657463 2.243754 0.30 0.767 -3.734443 5.065935 + 1299 | -.7142883 2.062602 -0.35 0.729 -4.759223 3.330646 + 1300 | 6.635286 2.831556 2.34 0.019 1.082367 12.1882 + 1301 | .0690763 2.713047 0.03 0.980 -5.251436 5.389589 + 1302 | 7.930688 3.245577 2.44 0.015 1.56584 14.29554 + 1303 | 1.886113 2.003757 0.94 0.347 -2.043421 5.815648 + 1304 | 5.567772 3.075645 1.81 0.070 -.4638255 11.59937 + 1305 | -.6131385 3.85985 -0.16 0.874 -8.182627 6.95635 + 1399 | 3.620417 3.275875 1.11 0.269 -2.803848 10.04468 + 1400 | 5.153568 2.403393 2.14 0.032 .4403134 9.866822 + 1401 | 1.131305 2.28082 0.50 0.620 -3.341574 5.604183 + 1403 | 3.831605 2.207457 1.74 0.083 -.4974029 8.160612 + 1404 | -.8672979 2.507877 -0.35 0.730 -5.785455 4.050859 + 1405 | -.1446001 2.488058 -0.06 0.954 -5.02389 4.73469 + 1406 | .7224855 2.379403 0.30 0.761 -3.943722 5.388693 + 1407 | 6.677231 3.255831 2.05 0.040 .292274 13.06219 + 1408 | .6684586 2.82276 0.24 0.813 -4.86721 6.204127 + 1409 | -1.35871 2.188123 -0.62 0.535 -5.649802 2.932383 + 1410 | 1.654911 2.763297 0.60 0.549 -3.764146 7.073968 + 1499 | -.3486529 2.270122 -0.15 0.878 -4.800551 4.103246 + 1500 | .6658492 2.274167 0.29 0.770 -3.793982 5.125681 + 1501 | .8497698 2.09353 0.41 0.685 -3.255818 4.955358 + 1502 | 4.658952 2.366506 1.97 0.049 .0180364 9.299868 + 1504 | -.387074 2.142406 -0.18 0.857 -4.588512 3.814363 + 1505 | 1.368945 2.221859 0.62 0.538 -2.988307 5.726196 + 1507 | 1.105839 2.241896 0.49 0.622 -3.290706 5.502383 + 1520 | 2.858505 2.375023 1.20 0.229 -1.799114 7.516123 + 1521 | 3.487198 2.654601 1.31 0.189 -1.718697 8.693093 + 1522 | 11.18373 3.733614 3.00 0.003 3.861797 18.50566 + 1523 | .6013262 1.993072 0.30 0.763 -3.307254 4.509907 + 1524 | 1.394923 2.694851 0.52 0.605 -3.889905 6.679751 + 1525 | 1.800355 2.244669 0.80 0.423 -2.601629 6.20234 + 1526 | 4.826678 2.360221 2.05 0.041 .1980876 9.455269 + 1599 | 2.105823 2.100838 1.00 0.316 -2.014097 6.225742 + 1600 | 4.692011 2.608604 1.80 0.072 -.4236801 9.807701 + 1602 | 5.058056 5.148416 0.98 0.326 -5.038418 15.15453 + 1603 | 4.400772 3.517688 1.25 0.211 -2.497708 11.29925 + 1604 | 4.874704 2.376804 2.05 0.040 .2135938 9.535815 + 1605 | 4.227949 2.696261 1.57 0.117 -1.059645 9.515543 + 1606 | 5.785187 5.992216 0.97 0.334 -5.96605 17.53642 + 1608 | 3.282574 2.085578 1.57 0.116 -.8074182 7.372567 + 1609 | 3.692436 2.263825 1.63 0.103 -.7471145 8.131986 + 1610 | 4.895808 3.441875 1.42 0.155 -1.853997 11.64561 + 1611 | 1.376262 2.393926 0.57 0.565 -3.318427 6.070951 + 1612 | 3.506273 2.602183 1.35 0.178 -1.596826 8.609371 + 1614 | -1.726459 2.053152 -0.84 0.401 -5.752862 2.299943 + 1615 | 3.997651 2.411978 1.66 0.098 -.7324391 8.727742 + 1616 | -1.665691 1.93627 -0.86 0.390 -5.462878 2.131496 + 1617 | 1.546524 2.301387 0.67 0.502 -2.966689 6.059737 + 1619 | 10.19678 3.472315 2.94 0.003 3.387282 17.00628 + 1620 | -2.112052 2.255969 -0.94 0.349 -6.536196 2.312092 + 1698 | -3.417853 2.119042 -1.61 0.107 -7.573471 .7377649 + 1699 | 2.983841 2.636284 1.13 0.258 -2.186132 8.153813 + 1700 | 7.322498 4.924857 1.49 0.137 -2.335559 16.98055 + 1701 | .6872576 2.929734 0.23 0.815 -5.058196 6.432711 + 1704 | 12.55521 9.562088 1.31 0.189 -6.196844 31.30726 + 1705 | .6931125 4.314655 0.16 0.872 -7.768287 9.154512 + 1706 | .6488349 2.135019 0.30 0.761 -3.538116 4.835785 + 1707 | 3.584143 2.155855 1.66 0.097 -.6436696 7.811955 + 1708 | 6.045593 4.355298 1.39 0.165 -2.495511 14.5867 + 1709 | 5.646705 2.646225 2.13 0.033 .4572352 10.83617 + 1798 | .9883786 2.389321 0.41 0.679 -3.697279 5.674036 + 1799 | 1.084286 6.181255 0.18 0.861 -11.03767 13.20624 + 1800 | .4250358 2.071677 0.21 0.837 -3.637696 4.487768 + 1802 | 2.963711 2.246272 1.32 0.187 -1.441416 7.368837 + 1803 | 8.307482 4.819767 1.72 0.085 -1.144483 17.75945 + 1804 | 2.699698 2.587044 1.04 0.297 -2.373712 7.773108 + 1806 | 3.387385 2.959797 1.14 0.253 -2.417025 9.191795 + 1807 | -2.166591 1.875412 -1.16 0.248 -5.844431 1.51125 + 1808 | 25.38896 9.222647 2.75 0.006 7.302578 43.47534 + 1899 | 5.109352 6.974374 0.73 0.464 -8.56798 18.78668 + 1900 | 2.070681 2.640886 0.78 0.433 -3.108317 7.249678 + 1901 | 3.767438 2.53464 1.49 0.137 -1.203204 8.73808 + 1902 | 1.741003 2.28164 0.76 0.446 -2.733483 6.21549 + 1905 | 7.391033 4.901179 1.51 0.132 -2.220589 17.00266 + 1906 | 9.317745 3.981472 2.34 0.019 1.509746 17.12574 + 1907 | 6.096092 3.566766 1.71 0.088 -.8986337 13.09082 + 1908 | 8.13173 4.984009 1.63 0.103 -1.642328 17.90579 + 1909 | 6.846945 3.152659 2.17 0.030 .6643174 13.02957 + 1910 | 4.794571 3.061463 1.57 0.117 -1.209215 10.79836 + 1911 | .1640397 2.586756 0.06 0.949 -4.908804 5.236884 + 1912 | -3.082969 2.052377 -1.50 0.133 -7.107852 .9419138 + 1914 | 2.871238 2.662303 1.08 0.281 -2.349761 8.092236 + 1915 | 1.880975 4.939908 0.38 0.703 -7.806598 11.56855 + 1919 | 2.76876 2.673009 1.04 0.300 -2.473233 8.010753 + 1920 | 3.996184 2.918425 1.37 0.171 -1.727092 9.71946 + 1925 | 6.280277 2.663725 2.36 0.018 1.05649 11.50406 + 1926 | 2.876914 2.241291 1.28 0.199 -1.518446 7.272273 + 1927 | .7023674 2.384818 0.29 0.768 -3.974459 5.379194 + 1929 | 2.196274 2.273132 0.97 0.334 -2.261528 6.654076 + 1999 | -.2270114 2.969591 -0.08 0.939 -6.050627 5.596604 + 2000 | -1.419573 1.934818 -0.73 0.463 -5.213914 2.374767 + 2001 | -.9499807 1.853504 -0.51 0.608 -4.584857 2.684895 + 2002 | -.74825 2.070014 -0.36 0.718 -4.807721 3.311221 + 2003 | .7112675 2.146773 0.33 0.740 -3.498734 4.921269 + 2004 | .5183375 1.95118 0.27 0.791 -3.30809 4.344765 + 2005 | 5.817114 2.201922 2.64 0.008 1.498961 10.13527 + 2006 | 4.094183 2.284317 1.79 0.073 -.3855538 8.573919 + 2007 | 1.888341 3.235731 0.58 0.560 -4.457198 8.233879 + 2008 | 2.569238 2.054974 1.25 0.211 -1.460738 6.599213 + 2009 | .5162612 2.136781 0.24 0.809 -3.674145 4.706668 + 2011 | 1.124946 2.231186 0.50 0.614 -3.250596 5.500488 + 2012 | 1.519329 2.08315 0.73 0.466 -2.565902 5.60456 + 2013 | 1.715426 2.605791 0.66 0.510 -3.394748 6.8256 + 2014 | -1.872079 2.51621 -0.74 0.457 -6.806578 3.062419 + 2015 | 4.326848 3.392586 1.28 0.202 -2.326297 10.97999 + 2030 | 2.279805 2.594276 0.88 0.380 -2.807787 7.367397 + 2099 | .4492663 2.193999 0.20 0.838 -3.853349 4.751882 + 2100 | 1.921822 2.618231 0.73 0.463 -3.212747 7.056391 + 2101 | .8377865 2.11091 0.40 0.691 -3.301885 4.977458 + 2102 | .9371799 2.072408 0.45 0.651 -3.126986 5.001346 + 2103 | -.1888584 1.970942 -0.10 0.924 -4.054041 3.676325 + 2104 | -.3797805 2.110217 -0.18 0.857 -4.518093 3.758532 + 2105 | 1.740531 2.927563 0.59 0.552 -4.000666 7.481727 + 2199 | 3.163762 5.993158 0.53 0.598 -8.589321 14.91685 + 9999 | 1.487202 2.54738 0.58 0.559 -3.508424 6.482828 + | + house_administration | -1.145066 .9923289 -1.15 0.249 -3.091106 .8009744 + house_agriculture | .8109513 .5480422 1.48 0.139 -.2638053 1.885708 + house_appropriations | .1055214 1.028097 0.10 0.918 -1.910663 2.121706 + house_armedservices | -1.132055 .5773663 -1.96 0.050 -2.264319 .0002086 + house_budget | .5157539 .730883 0.71 0.480 -.9175688 1.949077 + house_dc | 10.05038 3.510722 2.86 0.004 3.165565 16.9352 + house_educlabor | -.0375522 .6417779 -0.06 0.953 -1.296132 1.221028 + house_energycommerce | .107162 .4544675 0.24 0.814 -.7840868 .9984108 + house_foreignaffairs | -.3695686 .9682877 -0.38 0.703 -2.268462 1.529325 + house_governmentop | 1.089375 .637974 1.71 0.088 -.1617448 2.340496 + house_intelligence | 1.906669 2.487852 0.77 0.444 -2.972215 6.785554 + house_interior | 2.002651 1.702698 1.18 0.240 -1.336483 5.341784 + house_judiciary | .2273171 .3401827 0.67 0.504 -.4398097 .8944438 + house_mmf | 1.164923 .8344799 1.40 0.163 -.4715617 2.801408 + house_pocs | .3562781 .8510656 0.42 0.676 -1.312733 2.025289 + house_pwt | -.8959197 .7985545 -1.12 0.262 -2.461952 .6701124 + house_rules | -.3518476 .5452214 -0.65 0.519 -1.421072 .7173772 + house_sst | -2.328468 2.227456 -1.05 0.296 -6.696695 2.039759 + house_smallbusi | .0950835 2.528482 0.04 0.970 -4.863481 5.053648 + house_soc | -.3864805 1.412266 -0.27 0.784 -3.156052 2.383091 + house_veterans | .4261653 .8053317 0.53 0.597 -1.153157 2.005488 + house_waysandmeans | -.9376294 .2907569 -3.22 0.001 -1.507828 -.3674308 +house_naturalresources | -1.425437 .6191429 -2.30 0.021 -2.639628 -.2112459 + house_bfs | 1.310684 .6954008 1.88 0.060 -.0530552 2.674423 + house_eeo | -.4361765 1.400981 -0.31 0.756 -3.183618 2.311265 + house_govreform | 3.258366 1.205044 2.70 0.007 .895174 5.621558 + house_ir | 2.1841 1.076246 2.03 0.043 .0734923 4.294708 + house_natsecur | -1.687397 1.166028 -1.45 0.148 -3.974076 .5992818 + house_oversight | -2.454345 .9692537 -2.53 0.011 -4.355133 -.5535574 + house_resources | .539875 .5426496 0.99 0.320 -.5243062 1.604056 + house_science | 4.29944 1.104508 3.89 0.000 2.133407 6.465473 + house_transp | .9722122 .5688311 1.71 0.088 -.143313 2.087737 + house_homeland | -.465527 .9312324 -0.50 0.617 -2.291752 1.360698 + _cons | 3.603385 1.921868 1.87 0.061 -.1655593 7.372329 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,121 1 0 1 1 + + +j = 5 k = 1 + + +rdbwselect_2014 pct_cosponsors_leader MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11989 +----------------------+---------------------- NN matches = 3 + Number of obs | 6150 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 24.12402 42.82562 .563308 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(7,341 missing values generated) +(54,749 missing values generated) +(47,408 real changes made) +reg pct_cosponsors_leader sponsor_female i.v2 i.minor house_* [aw=wt] if tag_bill==1, robust cluster(group_sponsor) +(sum of wgt is 111,692.369840145) + +Linear regression Number of obs = 55,006 + F(268, 4357) = . + Prob > F = . + R-squared = 0.0707 + Root MSE = 9.4076 + + (Std. Err. adjusted for 4,358 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + pct_cosponsors_leader | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -.192745 .2160109 -0.89 0.372 -.6162363 .2307463 + | + v2 | + 102 | .5906813 .47715 1.24 0.216 -.3447755 1.526138 + 103 | -.1782384 .4846033 -0.37 0.713 -1.128307 .7718306 + 104 | -.6661177 .5935602 -1.12 0.262 -1.829798 .4975623 + 105 | .1468583 .5177541 0.28 0.777 -.8682031 1.16192 + 106 | -.390083 .5838467 -0.67 0.504 -1.53472 .7545534 + 107 | .6564201 .5741683 1.14 0.253 -.4692418 1.782082 + 108 | .9859593 .4983875 1.98 0.048 .0088664 1.963052 + 109 | .5051881 .5295154 0.95 0.340 -.5329314 1.543308 + 110 | 2.903916 .5825757 4.98 0.000 1.761771 4.046061 + 111 | .0588107 .5903915 0.10 0.921 -1.098657 1.216278 + | + minor | + 101 | 1.284716 2.151187 0.60 0.550 -2.932705 5.502137 + 103 | -1.247475 1.939206 -0.64 0.520 -5.049304 2.554355 + 104 | 1.540225 1.871684 0.82 0.411 -2.129227 5.209678 + 105 | 2.732902 1.440669 1.90 0.058 -.0915432 5.557347 + 107 | 2.734905 1.501935 1.82 0.069 -.2096511 5.679462 + 108 | 5.542951 2.212987 2.50 0.012 1.204371 9.88153 + 110 | -.6839274 1.978901 -0.35 0.730 -4.563581 3.195726 + 200 | 3.271378 1.551604 2.11 0.035 .2294446 6.313311 + 201 | 4.788579 2.284911 2.10 0.036 .3089902 9.268167 + 202 | 5.828241 1.425239 4.09 0.000 3.034048 8.622434 + 204 | -1.230028 2.181576 -0.56 0.573 -5.507027 3.046971 + 205 | 7.837802 2.355025 3.33 0.001 3.220755 12.45485 + 206 | 2.614793 1.954322 1.34 0.181 -1.216671 6.446258 + 207 | 5.812539 1.778123 3.27 0.001 2.326513 9.298565 + 208 | 2.762831 1.59451 1.73 0.083 -.3632203 5.888882 + 209 | 2.589949 3.801618 0.68 0.496 -4.863156 10.04305 + 299 | 5.771484 1.860557 3.10 0.002 2.123846 9.419122 + 300 | 6.731853 2.309884 2.91 0.004 2.203305 11.2604 + 301 | 5.127817 1.646162 3.12 0.002 1.900502 8.355132 + 302 | 4.751958 1.61279 2.95 0.003 1.59007 7.913847 + 321 | 5.470375 1.491135 3.67 0.000 2.546993 8.393757 + 322 | 4.334984 1.472611 2.94 0.003 1.447918 7.22205 + 323 | 2.074062 1.806799 1.15 0.251 -1.468183 5.616308 + 324 | 2.602949 1.452712 1.79 0.073 -.2451053 5.451003 + 325 | 3.335285 1.577116 2.11 0.035 .2433358 6.427235 + 331 | 4.7627 1.539679 3.09 0.002 1.744146 7.781253 + 332 | 4.689618 1.447657 3.24 0.001 1.851473 7.527763 + 333 | 4.986678 1.592837 3.13 0.002 1.863907 8.10945 + 334 | 4.317911 1.609212 2.68 0.007 1.163037 7.472785 + 335 | 3.032274 1.519281 2.00 0.046 .05371 6.010839 + 336 | 3.523504 1.563794 2.25 0.024 .457673 6.589335 + 341 | 5.372506 1.912029 2.81 0.005 1.623956 9.121055 + 342 | 6.029728 2.005065 3.01 0.003 2.09878 9.960676 + 343 | 6.156185 2.352178 2.62 0.009 1.544718 10.76765 + 344 | 4.808263 1.96539 2.45 0.014 .9550992 8.661428 + 398 | 3.658672 1.912007 1.91 0.056 -.0898337 7.407178 + 399 | .1858314 1.296228 0.14 0.886 -2.355435 2.727098 + 400 | 4.065194 2.174309 1.87 0.062 -.1975578 8.327945 + 401 | .1102932 1.571468 0.07 0.944 -2.970583 3.191169 + 402 | 3.40059 1.55025 2.19 0.028 .3613113 6.439868 + 403 | 3.319967 1.542851 2.15 0.031 .2951945 6.34474 + 404 | 5.453169 1.896949 2.87 0.004 1.734185 9.172153 + 405 | 5.176131 2.459402 2.10 0.035 .3544515 9.997811 + 498 | 2.145165 1.68471 1.27 0.203 -1.157722 5.448053 + 499 | 1.810407 1.824658 0.99 0.321 -1.76685 5.387664 + 500 | 15.4997 11.57283 1.34 0.181 -7.188924 38.18833 + 501 | 2.989575 1.735555 1.72 0.085 -.4129951 6.392145 + 502 | 2.328392 2.332869 1.00 0.318 -2.245217 6.902002 + 503 | 2.142263 1.744932 1.23 0.220 -1.27869 5.563216 + 504 | 2.904955 1.819065 1.60 0.110 -.6613376 6.471248 + 505 | 3.068243 1.809915 1.70 0.090 -.4801121 6.616597 + 506 | 4.671086 1.859907 2.51 0.012 1.024723 8.317449 + 508 | 4.447013 1.964012 2.26 0.024 .5965496 8.297476 + 529 | 4.870578 2.281739 2.13 0.033 .3972087 9.343947 + 530 | 4.390362 1.829233 2.40 0.016 .8041357 7.976588 + 599 | 5.616151 2.666827 2.11 0.035 .3878138 10.84449 + 600 | 3.35404 1.761119 1.90 0.057 -.0986491 6.806728 + 601 | 3.56302 1.510227 2.36 0.018 .6022069 6.523833 + 602 | 2.022855 1.539415 1.31 0.189 -.9951811 5.040891 + 603 | 5.444052 1.894806 2.87 0.004 1.729269 9.158836 + 604 | 3.058446 2.304255 1.33 0.184 -1.459066 7.575957 + 606 | 3.857011 2.418607 1.59 0.111 -.88469 8.598712 + 607 | 3.296486 1.580359 2.09 0.037 .1981784 6.394794 + 609 | 6.680523 2.594286 2.58 0.010 1.594403 11.76664 + 698 | 4.023102 3.943887 1.02 0.308 -3.708923 11.75513 + 699 | 3.169308 1.803614 1.76 0.079 -.3666933 6.70531 + 700 | 1.956024 1.464559 1.34 0.182 -.9152562 4.827305 + 701 | 4.216262 1.676191 2.52 0.012 .9300741 7.50245 + 703 | 3.663561 1.703559 2.15 0.032 .3237183 7.003404 + 704 | 2.208019 1.514486 1.46 0.145 -.7611444 5.177182 + 705 | 1.251733 1.522507 0.82 0.411 -1.733156 4.236622 + 707 | 1.517018 1.421038 1.07 0.286 -1.26894 4.302976 + 708 | 4.451858 2.123757 2.10 0.036 .2882149 8.615501 + 709 | 2.911891 1.471273 1.98 0.048 .0274471 5.796335 + 710 | 2.910526 1.477144 1.97 0.049 .0145732 5.806478 + 711 | 1.641214 1.430824 1.15 0.251 -1.163928 4.446356 + 798 | 1.049806 1.954216 0.54 0.591 -2.781451 4.881064 + 799 | 4.330538 2.842492 1.52 0.128 -1.242191 9.903267 + 800 | 1.703611 1.497871 1.14 0.255 -1.232978 4.640201 + 801 | 2.813282 1.935937 1.45 0.146 -.9821384 6.608702 + 802 | 1.62679 1.555241 1.05 0.296 -1.422273 4.675853 + 803 | 1.989192 1.43833 1.38 0.167 -.8306672 4.809051 + 805 | -.6677257 1.703919 -0.39 0.695 -4.008273 2.672822 + 806 | 1.349352 1.461007 0.92 0.356 -1.514964 4.213669 + 807 | 1.740059 1.526658 1.14 0.254 -1.252966 4.733085 + 898 | .5022091 1.886339 0.27 0.790 -3.195974 4.200392 + 899 | 14.46343 10.88347 1.33 0.184 -6.873711 35.80057 + 1000 | 3.845963 1.725261 2.23 0.026 .463573 7.228352 + 1001 | 5.211746 1.923451 2.71 0.007 1.440803 8.982688 + 1002 | 3.601809 1.682796 2.14 0.032 .3026723 6.900946 + 1003 | 3.373095 1.590851 2.12 0.034 .2542177 6.491971 + 1005 | 18.25099 10.11055 1.81 0.071 -1.570817 38.07281 + 1006 | 3.981612 1.515764 2.63 0.009 1.009944 6.953281 + 1007 | 3.275651 1.337981 2.45 0.014 .652527 5.898774 + 1010 | 5.874002 1.885473 3.12 0.002 2.177516 9.570488 + 1098 | 4.916735 3.104916 1.58 0.113 -1.170479 11.00395 + 1099 | 2.184313 2.316157 0.94 0.346 -2.356533 6.725159 + 1200 | 4.100323 2.218913 1.85 0.065 -.2498745 8.450521 + 1201 | 4.622697 1.434868 3.22 0.001 1.809627 7.435768 + 1202 | 8.276032 3.197641 2.59 0.010 2.007028 14.54504 + 1203 | 3.428625 1.455218 2.36 0.019 .5756575 6.281592 + 1204 | 2.098608 2.084666 1.01 0.314 -1.988398 6.185614 + 1205 | 2.999681 1.605254 1.87 0.062 -.1474329 6.146795 + 1206 | 2.797813 1.873843 1.49 0.135 -.875872 6.471498 + 1207 | .3531675 2.029541 0.17 0.862 -3.625765 4.3321 + 1208 | 3.214082 1.364887 2.35 0.019 .5382098 5.889955 + 1209 | 3.992774 1.457803 2.74 0.006 1.134739 6.850809 + 1210 | 3.875782 1.513768 2.56 0.010 .9080266 6.843537 + 1211 | 2.844494 1.615581 1.76 0.078 -.3228668 6.011854 + 1299 | 1.207882 1.928342 0.63 0.531 -2.57265 4.988414 + 1300 | 5.772684 1.775565 3.25 0.001 2.291674 9.253694 + 1301 | 3.110817 1.698418 1.83 0.067 -.2189467 6.44058 + 1302 | 5.963739 2.261754 2.64 0.008 1.529551 10.39793 + 1303 | 2.200299 1.396439 1.58 0.115 -.5374312 4.938029 + 1304 | 4.56167 1.52006 3.00 0.003 1.58158 7.541761 + 1305 | 4.718812 2.554683 1.85 0.065 -.2896652 9.72729 + 1399 | 4.519792 2.044186 2.21 0.027 .5121483 8.527436 + 1400 | 7.541275 1.821659 4.14 0.000 3.969896 11.11265 + 1401 | 2.625383 1.505832 1.74 0.081 -.3268123 5.577579 + 1403 | 4.404112 1.512139 2.91 0.004 1.43955 7.368674 + 1404 | 1.695295 2.040181 0.83 0.406 -2.304497 5.695087 + 1405 | 2.154614 1.599292 1.35 0.178 -.9808114 5.29004 + 1406 | 3.477097 1.939611 1.79 0.073 -.3255283 7.279721 + 1407 | 6.250607 2.187254 2.86 0.004 1.962476 10.53874 + 1408 | 3.08801 1.612862 1.91 0.056 -.0740204 6.25004 + 1409 | 3.165778 1.965778 1.61 0.107 -.6881469 7.019702 + 1410 | 5.655184 3.028307 1.87 0.062 -.2818375 11.59221 + 1499 | -.3735149 1.506885 -0.25 0.804 -3.327777 2.580747 + 1500 | 1.405837 1.473186 0.95 0.340 -1.482357 4.294031 + 1501 | 2.377108 1.40727 1.69 0.091 -.3818572 5.136074 + 1502 | 5.521277 1.54029 3.58 0.000 2.501526 8.541028 + 1504 | 1.326912 1.411937 0.94 0.347 -1.441203 4.095027 + 1505 | 3.240891 1.643174 1.97 0.049 .0194338 6.462347 + 1507 | 1.152731 2.702946 0.43 0.670 -4.146419 6.45188 + 1520 | 2.362168 1.489791 1.59 0.113 -.5585787 5.282916 + 1521 | 3.983245 1.519498 2.62 0.009 1.004256 6.962234 + 1522 | 6.850252 2.044948 3.35 0.001 2.841114 10.85939 + 1523 | 1.29328 1.445497 0.89 0.371 -1.540629 4.127189 + 1524 | 3.584963 2.300451 1.56 0.119 -.9250905 8.095016 + 1525 | 4.991441 1.515995 3.29 0.001 2.01932 7.963561 + 1526 | 2.39211 1.567897 1.53 0.127 -.6817668 5.465986 + 1599 | 6.478387 2.63592 2.46 0.014 1.310643 11.64613 + 1600 | 4.766123 1.78933 2.66 0.008 1.258125 8.27412 + 1602 | 4.416468 2.229807 1.98 0.048 .0449123 8.788025 + 1603 | .4409846 2.708355 0.16 0.871 -4.868769 5.750738 + 1604 | 6.160917 2.70967 2.27 0.023 .848585 11.47325 + 1605 | 6.928908 1.880839 3.68 0.000 3.241507 10.61631 + 1606 | 7.880327 2.905765 2.71 0.007 2.18355 13.5771 + 1608 | 3.487012 2.296723 1.52 0.129 -1.015734 7.989757 + 1609 | 4.594987 1.456356 3.16 0.002 1.739789 7.450185 + 1610 | 12.27101 3.987991 3.08 0.002 4.452515 20.0895 + 1611 | .479035 1.642068 0.29 0.771 -2.740253 3.698323 + 1612 | 4.831079 1.728721 2.79 0.005 1.441907 8.220252 + 1614 | 4.272845 1.993746 2.14 0.032 .3640884 8.181601 + 1615 | 3.638815 1.672986 2.18 0.030 .3589122 6.918718 + 1616 | 1.815028 2.089849 0.87 0.385 -2.282138 5.912195 + 1617 | 1.290445 1.579951 0.82 0.414 -1.807063 4.387953 + 1619 | 7.406696 2.929657 2.53 0.012 1.663079 13.15031 + 1620 | .3554143 1.621929 0.22 0.827 -2.824392 3.53522 + 1698 | 1.38656 2.108288 0.66 0.511 -2.746757 5.519877 + 1699 | 4.67333 1.539996 3.03 0.002 1.654155 7.692506 + 1700 | 5.95037 2.454732 2.42 0.015 1.137846 10.76289 + 1701 | 4.197187 2.029075 2.07 0.039 .2191683 8.175206 + 1704 | 15.07028 7.333482 2.05 0.040 .6929243 29.44763 + 1705 | -.4194827 2.436272 -0.17 0.863 -5.195816 4.35685 + 1706 | 2.249058 1.533424 1.47 0.143 -.7572339 5.25535 + 1707 | 2.711246 1.485608 1.83 0.068 -.2013023 5.623794 + 1708 | 6.867412 2.493952 2.75 0.006 1.977998 11.75683 + 1709 | 5.85901 1.846769 3.17 0.002 2.238404 9.479617 + 1798 | 2.464425 1.796222 1.37 0.170 -1.057084 5.985933 + 1799 | 1.140609 2.848711 0.40 0.689 -4.444314 6.725532 + 1800 | 3.056127 1.49852 2.04 0.041 .1182661 5.993989 + 1802 | 5.071226 1.532956 3.31 0.001 2.065853 8.076599 + 1803 | 7.584383 2.706683 2.80 0.005 2.277907 12.89086 + 1804 | 1.590053 1.529029 1.04 0.298 -1.407622 4.587728 + 1806 | 6.275221 1.815795 3.46 0.001 2.715339 9.835104 + 1807 | -.5239974 1.696816 -0.31 0.757 -3.850619 2.802624 + 1808 | 11.34179 6.647453 1.71 0.088 -1.690595 24.37418 + 1899 | 14.22588 4.846262 2.94 0.003 4.724742 23.72702 + 1900 | 3.00285 1.653575 1.82 0.069 -.2389986 6.244699 + 1901 | 2.754171 1.539991 1.79 0.074 -.2649957 5.773337 + 1902 | 6.681029 2.492389 2.68 0.007 1.794679 11.56738 + 1905 | 2.658304 1.849987 1.44 0.151 -.9686114 6.285219 + 1906 | 8.547582 3.514881 2.43 0.015 1.656627 15.43854 + 1907 | 4.727872 2.903097 1.63 0.103 -.9636748 10.41942 + 1908 | 11.44618 4.691807 2.44 0.015 2.247852 20.64451 + 1909 | 6.429495 2.4249 2.65 0.008 1.675458 11.18353 + 1910 | 6.387436 2.29484 2.78 0.005 1.888383 10.88649 + 1911 | 2.349561 1.992017 1.18 0.238 -1.555804 6.254927 + 1912 | -1.163688 1.707614 -0.68 0.496 -4.51148 2.184104 + 1914 | 6.019727 2.109731 2.85 0.004 1.883582 10.15587 + 1915 | 8.998903 7.135945 1.26 0.207 -4.991178 22.98898 + 1919 | 4.161473 2.116878 1.97 0.049 .0113164 8.31163 + 1920 | 4.079686 1.655629 2.46 0.014 .8338111 7.325561 + 1925 | 3.915898 2.227169 1.76 0.079 -.4504857 8.282282 + 1926 | .7568629 1.54343 0.49 0.624 -2.269044 3.78277 + 1927 | 7.169994 3.736315 1.92 0.055 -.1550842 14.49507 + 1929 | 3.158102 1.696705 1.86 0.063 -.168302 6.484506 + 1999 | .5010135 2.538163 0.20 0.844 -4.475078 5.477105 + 2000 | .8695448 1.470489 0.59 0.554 -2.013362 3.752452 + 2001 | 4.160176 2.199309 1.89 0.059 -.1515885 8.471941 + 2002 | 2.752109 1.450836 1.90 0.058 -.0922672 5.596486 + 2003 | 3.215129 1.520738 2.11 0.035 .2337084 6.19655 + 2004 | 2.343585 1.384102 1.69 0.090 -.3699597 5.057129 + 2005 | 5.17655 2.485256 2.08 0.037 .3041846 10.04892 + 2006 | 8.091393 2.016997 4.01 0.000 4.137054 12.04573 + 2007 | 1.948593 2.027098 0.96 0.336 -2.025551 5.922736 + 2008 | 3.860648 1.442308 2.68 0.007 1.032991 6.688306 + 2009 | 4.302896 2.844833 1.51 0.130 -1.274423 9.880216 + 2010 | 44.49224 1.408411 31.59 0.000 41.73104 47.25344 + 2011 | 1.724581 1.553402 1.11 0.267 -1.320877 4.770039 + 2012 | 1.321311 1.421182 0.93 0.353 -1.464928 4.10755 + 2013 | 2.995459 1.934525 1.55 0.122 -.7971929 6.788111 + 2014 | 2.917013 1.867809 1.56 0.118 -.744843 6.57887 + 2015 | 4.627105 2.700428 1.71 0.087 -.6671068 9.921316 + 2030 | 2.938899 2.026756 1.45 0.147 -1.034573 6.912371 + 2099 | 4.343452 2.101379 2.07 0.039 .2236809 8.463222 + 2100 | 1.331457 1.559993 0.85 0.393 -1.726923 4.389837 + 2101 | 2.385168 1.463895 1.63 0.103 -.4848106 5.255147 + 2102 | 2.03981 1.40504 1.45 0.147 -.7147832 4.794402 + 2103 | .9812974 1.478089 0.66 0.507 -1.916509 3.879104 + 2104 | .5717043 1.398258 0.41 0.683 -2.169592 3.313 + 2105 | 1.239404 1.981677 0.63 0.532 -2.645691 5.1245 + 2199 | .7094885 2.9749 0.24 0.812 -5.122828 6.541805 + 9999 | 4.015136 1.71325 2.34 0.019 .6562957 7.373977 + | + house_administration | .895588 .5481713 1.63 0.102 -.1791066 1.970283 + house_agriculture | .9445792 .4114533 2.30 0.022 .1379214 1.751237 + house_appropriations | 1.850235 1.618052 1.14 0.253 -1.321969 5.022439 + house_armedservices | -1.220324 .4031883 -3.03 0.002 -2.010778 -.4298703 + house_budget | .959482 .7147538 1.34 0.180 -.441799 2.360763 + house_dc | 2.175671 2.120081 1.03 0.305 -1.980765 6.332108 + house_educlabor | .8037893 .4121809 1.95 0.051 -.0042948 1.611873 + house_energycommerce | .010871 .3987159 0.03 0.978 -.7708149 .7925569 + house_foreignaffairs | .0880356 .8559674 0.10 0.918 -1.590096 1.766167 + house_governmentop | 1.024773 .4826878 2.12 0.034 .0784598 1.971087 + house_intelligence | 4.529567 2.115176 2.14 0.032 .3827463 8.676388 + house_interior | .5527869 .6608123 0.84 0.403 -.7427414 1.848315 + house_judiciary | .7640755 .4832249 1.58 0.114 -.183291 1.711442 + house_mmf | 1.337707 1.097985 1.22 0.223 -.8149017 3.490316 + house_pocs | 1.567438 .695225 2.25 0.024 .2044428 2.930432 + house_pwt | .219328 .5225687 0.42 0.675 -.8051724 1.243828 + house_rules | -1.258261 .4832031 -2.60 0.009 -2.205584 -.310937 + house_sst | -.0394344 1.093478 -0.04 0.971 -2.183207 2.104338 + house_smallbusi | -1.053296 1.239175 -0.85 0.395 -3.482709 1.376117 + house_soc | .0130158 1.956232 0.01 0.995 -3.822193 3.848225 + house_veterans | .9460714 .5455119 1.73 0.083 -.1234094 2.015552 + house_waysandmeans | -.4438318 .3062989 -1.45 0.147 -1.044333 .1566698 +house_naturalresources | -1.135121 .4606773 -2.46 0.014 -2.038283 -.2319591 + house_bfs | .095943 .4668456 0.21 0.837 -.8193119 1.011198 + house_eeo | .7795246 .7829978 1.00 0.320 -.7555493 2.314599 + house_govreform | 1.524242 .4076964 3.74 0.000 .7249499 2.323534 + house_ir | 2.82936 .8645786 3.27 0.001 1.134346 4.524374 + house_natsecur | -2.016292 1.248865 -1.61 0.106 -4.464702 .4321189 + house_oversight | -.2105583 .5631808 -0.37 0.709 -1.314679 .8935626 + house_resources | .2799202 .446471 0.63 0.531 -.59539 1.15523 + house_science | 2.265566 .7044448 3.22 0.001 .884496 3.646636 + house_transp | -.9259341 .906757 -1.02 0.307 -2.703639 .8517708 + house_homeland | .0750003 .6962851 0.11 0.914 -1.290073 1.440073 + _cons | 2.032516 1.382533 1.47 0.142 -.6779519 4.742984 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,358 1 0 1 1 + + +j = 5 k = 2 + + +rdbwselect_2014 pct_cosponsors_leader MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6186 +----------------------+---------------------- NN matches = 3 + Number of obs | 2192 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 25.43871 47.04334 .5407506 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(7,341 missing values generated) +(54,749 missing values generated) +(47,408 real changes made) +reg pct_cosponsors_leader sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==100 & tag_bill==1, robust cluster(group_sponsor) +(sum of wgt is 59,027.2135760784) + +Linear regression Number of obs = 29,363 + F(268, 2264) = . + Prob > F = . + R-squared = 0.0874 + Root MSE = 9.4097 + + (Std. Err. adjusted for 2,265 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + pct_cosponsors_leader | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -.2411676 .2532098 -0.95 0.341 -.7377152 .25538 + | + v2 | + 102 | .093337 .4183818 0.22 0.823 -.7271148 .9137889 + 103 | -.3775326 .4569506 -0.83 0.409 -1.273618 .518553 + 104 | -1.42714 .6818054 -2.09 0.036 -2.764169 -.0901115 + 105 | -.2685714 .4710766 -0.57 0.569 -1.192358 .6552155 + 106 | -.6102241 .6649521 -0.92 0.359 -1.914203 .6937552 + 107 | .478537 .7077374 0.68 0.499 -.9093448 1.866419 + 108 | 1.146208 .4662759 2.46 0.014 .2318349 2.060581 + 109 | .5175627 .534349 0.97 0.333 -.5303023 1.565428 + 110 | 2.750821 .5670264 4.85 0.000 1.638875 3.862767 + 111 | -.4128462 .4923144 -0.84 0.402 -1.378281 .5525884 + | + minor | + 101 | .5433449 3.685777 0.15 0.883 -6.68451 7.771199 + 103 | -6.920166 1.844645 -3.75 0.000 -10.53754 -3.302794 + 104 | -3.487991 2.061366 -1.69 0.091 -7.530355 .5543721 + 105 | -1.315936 2.003373 -0.66 0.511 -5.244574 2.612702 + 107 | -1.743072 1.888328 -0.92 0.356 -5.446107 1.959963 + 108 | .9750288 2.915492 0.33 0.738 -4.742288 6.692346 + 110 | -5.240866 2.448438 -2.14 0.032 -10.04228 -.4394495 + 200 | .0942168 1.99124 0.05 0.962 -3.81063 3.999063 + 201 | 1.375502 2.944964 0.47 0.640 -4.399608 7.150612 + 202 | 2.547842 2.054291 1.24 0.215 -1.480648 6.576333 + 204 | -.4009639 3.033939 -0.13 0.895 -6.350556 5.548628 + 205 | 4.364726 2.343085 1.86 0.063 -.2300936 8.959545 + 206 | .3297669 2.856453 0.12 0.908 -5.271773 5.931307 + 207 | 3.483476 2.00062 1.74 0.082 -.4397632 7.406716 + 208 | -1.29543 2.095871 -0.62 0.537 -5.405458 2.814599 + 209 | -.7212896 4.815049 -0.15 0.881 -10.16366 8.721081 + 299 | 4.081641 4.218764 0.97 0.333 -4.191408 12.35469 + 300 | 3.699146 3.287644 1.13 0.261 -2.747965 10.14626 + 301 | 1.887427 2.120546 0.89 0.374 -2.27099 6.045844 + 302 | .5331779 2.032272 0.26 0.793 -3.452132 4.518488 + 321 | 2.518485 2.130856 1.18 0.237 -1.660151 6.69712 + 322 | 1.123805 2.141158 0.52 0.600 -3.075031 5.322642 + 323 | -1.882044 2.124928 -0.89 0.376 -6.049055 2.284967 + 324 | -1.598006 1.961262 -0.81 0.415 -5.444064 2.248052 + 325 | -.2485731 2.016901 -0.12 0.902 -4.203741 3.706595 + 331 | 1.694276 1.936958 0.87 0.382 -2.104123 5.492675 + 332 | .5421956 1.983054 0.27 0.785 -3.346597 4.430988 + 333 | 1.378843 2.079086 0.66 0.507 -2.698271 5.455957 + 334 | -.4311919 1.951515 -0.22 0.825 -4.258136 3.395752 + 335 | -.8966205 1.968582 -0.46 0.649 -4.757034 2.963793 + 336 | -.1939034 1.987118 -0.10 0.922 -4.090667 3.702861 + 341 | 1.537309 2.180269 0.71 0.481 -2.738226 5.812844 + 342 | 2.509392 2.810368 0.89 0.372 -3.001775 8.02056 + 343 | 4.763756 3.69753 1.29 0.198 -2.487146 12.01466 + 344 | .8515164 2.370398 0.36 0.719 -3.796864 5.499897 + 398 | -.1456364 2.082596 -0.07 0.944 -4.229634 3.938361 + 399 | -2.235699 2.093018 -1.07 0.286 -6.340133 1.868735 + 400 | 1.482973 2.667782 0.56 0.578 -3.748582 6.714527 + 401 | -3.972481 2.214793 -1.79 0.073 -8.315717 .3707555 + 402 | .2596337 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0.50 0.615 -3.011698 5.093136 + 711 | -1.066706 1.986444 -0.54 0.591 -4.962147 2.828735 + 798 | .0086425 2.703342 0.00 0.997 -5.292646 5.30993 + 799 | 14.80859 6.927293 2.14 0.033 1.224085 28.3931 + 800 | -2.68527 2.002057 -1.34 0.180 -6.611329 1.240789 + 801 | 3.22646 3.960734 0.81 0.415 -4.540588 10.99351 + 802 | -2.015135 2.202364 -0.91 0.360 -6.333997 2.303728 + 803 | -1.314635 2.081247 -0.63 0.528 -5.395986 2.766717 + 805 | -1.794017 2.154541 -0.83 0.405 -6.019099 2.431065 + 806 | -2.13932 1.978164 -1.08 0.280 -6.018524 1.739884 + 807 | -2.597863 1.926544 -1.35 0.178 -6.37584 1.180114 + 898 | -5.072261 2.458488 -2.06 0.039 -9.893385 -.2511362 + 899 | -4.051167 2.524859 -1.60 0.109 -9.002446 .9001125 + 1000 | 1.532512 2.36066 0.65 0.516 -3.096772 6.161796 + 1001 | .7257375 2.771667 0.26 0.793 -4.709537 6.161012 + 1002 | -.552432 2.183376 -0.25 0.800 -4.83406 3.729196 + 1003 | .4446256 2.084399 0.21 0.831 -3.642906 4.532157 + 1005 | 21.25721 11.42291 1.86 0.063 -1.143264 43.65769 + 1006 | -.2225904 1.986393 -0.11 0.911 -4.117932 3.672751 + 1007 | 4.256658 2.326436 1.83 0.067 -.3055109 8.818827 + 1010 | 2.137458 2.179151 0.98 0.327 -2.135885 6.410801 + 1098 | -1.657904 3.412085 -0.49 0.627 -8.349045 5.033238 + 1099 | -1.037235 3.04305 -0.34 0.733 -7.004693 4.930223 + 1200 | -2.620994 2.014455 -1.30 0.193 -6.571365 1.329376 + 1201 | 1.40039 2.335549 0.60 0.549 -3.17965 5.980431 + 1202 | 4.129291 3.475075 1.19 0.235 -2.685374 10.94396 + 1203 | -.6820133 2.031561 -0.34 0.737 -4.665929 3.301902 + 1204 | -1.612634 2.400703 -0.67 0.502 -6.320441 3.095173 + 1205 | 2.481182 2.33368 1.06 0.288 -2.095194 7.057557 + 1206 | -.3342969 2.180715 -0.15 0.878 -4.610707 3.942113 + 1207 | -2.844617 2.584352 -1.10 0.271 -7.912563 2.223328 + 1208 | .0589947 2.050754 0.03 0.977 -3.96256 4.08055 + 1209 | .0482268 1.923213 0.03 0.980 -3.723218 3.819672 + 1210 | .6107711 2.032811 0.30 0.764 -3.375596 4.597138 + 1211 | .1601228 2.215002 0.07 0.942 -4.183523 4.503769 + 1299 | -.7333758 2.864003 -0.26 0.798 -6.349722 4.88297 + 1300 | 1.934515 2.41702 0.80 0.424 -2.805292 6.674322 + 1301 | .3266254 2.12363 0.15 0.878 -3.837839 4.49109 + 1302 | -2.500111 2.053258 -1.22 0.223 -6.526575 1.526354 + 1303 | -1.384876 1.96689 -0.70 0.481 -5.241971 2.472219 + 1304 | -.0682625 2.05541 -0.03 0.974 -4.098947 3.962422 + 1305 | -2.065299 2.142126 -0.96 0.335 -6.266035 2.135437 + 1399 | .6580642 2.298047 0.29 0.775 -3.848435 5.164564 + 1400 | 2.128928 2.161237 0.99 0.325 -2.109284 6.36714 + 1401 | -1.161906 2.031914 -0.57 0.567 -5.146513 2.822702 + 1403 | .1689778 2.024035 0.08 0.933 -3.80018 4.138136 + 1404 | -.1746592 2.983312 -0.06 0.953 -6.02497 5.675651 + 1405 | -2.141041 1.989615 -1.08 0.282 -6.042701 1.760619 + 1406 | .0521234 2.728935 0.02 0.985 -5.299353 5.403599 + 1407 | .7262493 2.487366 0.29 0.770 -4.151506 5.604005 + 1408 | .3988152 1.931655 0.21 0.836 -3.389185 4.186815 + 1409 | 4.109149 2.868048 1.43 0.152 -1.515128 9.733427 + 1410 | 3.467947 4.114095 0.84 0.399 -4.599845 11.53574 + 1499 | -4.819442 1.908007 -2.53 0.012 -8.561067 -1.077816 + 1500 | .1466415 2.514185 0.06 0.953 -4.783706 5.076989 + 1501 | -1.356042 1.96722 -0.69 0.491 -5.213785 2.501701 + 1502 | 2.017742 2.035363 0.99 0.322 -1.973631 6.009114 + 1504 | -1.719002 1.928745 -0.89 0.373 -5.501295 2.063291 + 1505 | -1.041676 2.300369 -0.45 0.651 -5.552727 3.469375 + 1507 | -1.932926 2.798112 -0.69 0.490 -7.420058 3.554206 + 1520 | -1.484551 1.99084 -0.75 0.456 -5.388613 2.419511 + 1521 | -1.993263 1.998332 -1.00 0.319 -5.912016 1.92549 + 1522 | 1.873799 2.459968 0.76 0.446 -2.950228 6.697826 + 1523 | -1.748931 2.073851 -0.84 0.399 -5.815779 2.317917 + 1524 | 1.670166 3.364199 0.50 0.620 -4.92707 8.267402 + 1525 | .7376905 2.116285 0.35 0.727 -3.412371 4.887752 + 1526 | -3.144834 2.029033 -1.55 0.121 -7.123793 .8341246 + 1599 | 3.851063 3.077875 1.25 0.211 -2.184689 9.886814 + 1600 | 2.861563 2.329683 1.23 0.219 -1.706975 7.430101 + 1602 | -.1500698 2.526742 -0.06 0.953 -5.105042 4.804903 + 1603 | -5.249459 3.704979 -1.42 0.157 -12.51497 2.01605 + 1604 | 2.602986 3.345149 0.78 0.437 -3.956893 9.162865 + 1605 | 3.685347 2.331589 1.58 0.114 -.8869276 8.257621 + 1606 | 5.081687 3.218999 1.58 0.115 -1.23081 11.39418 + 1608 | 1.132012 2.274784 0.50 0.619 -3.328867 5.592892 + 1609 | .5024317 1.994451 0.25 0.801 -3.408711 4.413575 + 1610 | 8.607298 4.171162 2.06 0.039 .4275976 16.787 + 1611 | -2.557703 1.925685 -1.33 0.184 -6.333996 1.21859 + 1612 | .7677795 2.078174 0.37 0.712 -3.307545 4.843104 + 1614 | 3.386768 2.619639 1.29 0.196 -1.750377 8.523912 + 1615 | .5746082 2.296602 0.25 0.802 -3.929056 5.078272 + 1616 | 2.474523 2.927824 0.85 0.398 -3.266975 8.216022 + 1617 | -2.983289 2.36613 -1.26 0.207 -7.6233 1.656722 + 1619 | 2.168042 2.394666 0.91 0.365 -2.527927 6.864011 + 1620 | -2.392841 2.158903 -1.11 0.268 -6.626478 1.840795 + 1698 | 1.890949 4.15605 0.45 0.649 -6.259116 10.04101 + 1699 | .55171 1.899311 0.29 0.771 -3.172862 4.276282 + 1700 | -1.65255 2.489875 -0.66 0.507 -6.535226 3.230127 + 1701 | 1.512853 2.856408 0.53 0.596 -4.088599 7.114305 + 1704 | .6506477 3.578879 0.18 0.856 -6.367578 7.668873 + 1705 | -4.838565 3.401724 -1.42 0.155 -11.50939 1.832258 + 1706 | -1.97592 2.001642 -0.99 0.324 -5.901166 1.949325 + 1707 | -.6619382 2.05625 -0.32 0.748 -4.69427 3.370393 + 1708 | 4.463396 3.550474 1.26 0.209 -2.499128 11.42592 + 1709 | 1.549719 2.590069 0.60 0.550 -3.529437 6.628876 + 1798 | -1.777643 2.464382 -0.72 0.471 -6.610327 3.05504 + 1799 | -3.342676 3.126346 -1.07 0.285 -9.47348 2.788128 + 1800 | -.730677 2.741957 -0.27 0.790 -6.107689 4.646335 + 1802 | 1.483049 2.072002 0.72 0.474 -2.580172 5.54627 + 1803 | .6158801 2.160265 0.29 0.776 -3.620426 4.852186 + 1804 | -3.732856 1.998968 -1.87 0.062 -7.652857 .1871458 + 1806 | 2.495219 2.403389 1.04 0.299 -2.217856 7.208295 + 1807 | -4.503681 1.942519 -2.32 0.021 -8.312984 -.6943777 + 1808 | 2.507036 4.636975 0.54 0.589 -6.586131 11.6002 + 1899 | 14.2035 4.346142 3.27 0.001 5.680661 22.72634 + 1900 | .1623726 2.278317 0.07 0.943 -4.305435 4.63018 + 1901 | .5154115 2.070995 0.25 0.803 -3.545836 4.576659 + 1902 | 4.166767 3.797758 1.10 0.273 -3.280684 11.61422 + 1905 | .1324097 2.06572 0.06 0.949 -3.918493 4.183312 + 1906 | -.8376335 2.108019 -0.40 0.691 -4.971485 3.296218 + 1907 | 2.567385 3.233577 0.79 0.427 -3.773701 8.90847 + 1908 | 9.332358 7.026534 1.33 0.184 -4.446761 23.11148 + 1909 | .9728249 3.523108 0.28 0.782 -5.936034 7.881684 + 1910 | 3.40947 4.159648 0.82 0.413 -4.747652 11.56659 + 1911 | .4293238 2.887645 0.15 0.882 -5.233383 6.09203 + 1912 | -5.588118 2.291442 -2.44 0.015 -10.08166 -1.094572 + 1914 | 2.385994 2.585508 0.92 0.356 -2.684219 7.456207 + 1915 | 10.28983 12.51289 0.82 0.411 -14.24811 34.82776 + 1919 | 4.029016 3.622816 1.11 0.266 -3.075371 11.1334 + 1920 | -.9933465 2.079779 -0.48 0.633 -5.07182 3.085127 + 1925 | 2.196459 2.186494 1.00 0.315 -2.091283 6.4842 + 1926 | 2.354441 2.535213 0.93 0.353 -2.617142 7.326024 + 1927 | -2.227427 2.281752 -0.98 0.329 -6.701971 2.247116 + 1929 | 2.476458 2.690563 0.92 0.357 -2.79977 7.752686 + 1999 | -3.221251 3.515822 -0.92 0.360 -10.11582 3.673319 + 2000 | .5080454 2.128226 0.24 0.811 -3.665432 4.681523 + 2001 | -.9285702 2.095518 -0.44 0.658 -5.037908 3.180767 + 2002 | .2265736 2.249467 0.10 0.920 -4.184658 4.637806 + 2003 | .3398806 2.059844 0.17 0.869 -3.6995 4.379261 + 2004 | -.5767948 1.912311 -0.30 0.763 -4.32686 3.173271 + 2005 | 1.396387 4.64758 0.30 0.764 -7.717575 10.51035 + 2006 | 5.719813 2.700524 2.12 0.034 .4240517 11.01557 + 2007 | -1.526559 2.52381 -0.60 0.545 -6.475782 3.422663 + 2008 | .3724259 1.91441 0.19 0.846 -3.381755 4.126607 + 2009 | 1.627963 3.920322 0.42 0.678 -6.059837 9.315764 + 2010 | 41.17251 1.899538 21.68 0.000 37.44749 44.89752 + 2011 | -.4454304 2.442023 -0.18 0.855 -5.234268 4.343407 + 2012 | -1.262768 1.920199 -0.66 0.511 -5.028301 2.502765 + 2013 | -.5205996 2.427164 -0.21 0.830 -5.280298 4.239098 + 2014 | 2.800662 2.887712 0.97 0.332 -2.862177 8.463501 + 2015 | 1.28626 3.621642 0.36 0.723 -5.815825 8.388345 + 2030 | -.7910163 3.166785 -0.25 0.803 -7.001122 5.419089 + 2099 | 2.620365 2.861216 0.92 0.360 -2.990515 8.231244 + 2100 | -2.209084 2.125162 -1.04 0.299 -6.376553 1.958384 + 2101 | -.4829141 2.012063 -0.24 0.810 -4.428595 3.462767 + 2102 | -1.039051 1.936992 -0.54 0.592 -4.837517 2.759415 + 2103 | -2.294909 1.970648 -1.16 0.244 -6.159374 1.569556 + 2104 | -3.498236 1.897482 -1.84 0.065 -7.219221 .2227489 + 2105 | -4.414746 2.284837 -1.93 0.053 -8.89534 .0658476 + 2199 | -4.440804 2.026312 -2.19 0.029 -8.414426 -.4671815 + 9999 | 1.094386 2.168898 0.50 0.614 -3.158851 5.347622 + | + house_administration | 1.571255 .7614374 2.06 0.039 .0780666 3.064443 + house_agriculture | .4831167 .5574486 0.87 0.386 -.6100469 1.57628 + house_appropriations | -3.315727 .7994652 -4.15 0.000 -4.883488 -1.747966 + house_armedservices | -1.781502 .5156519 -3.45 0.001 -2.792702 -.7703022 + house_budget | 1.561813 1.144478 1.36 0.172 -.6825229 3.806148 + house_dc | -1.963968 2.626238 -0.75 0.455 -7.114052 3.186117 + house_educlabor | .8042915 .442363 1.82 0.069 -.0631878 1.671771 + house_energycommerce | .2593304 .3974224 0.65 0.514 -.5200199 1.038681 + house_foreignaffairs | 1.705453 .6640788 2.57 0.010 .4031863 3.00772 + house_governmentop | .2169753 .9703776 0.22 0.823 -1.685947 2.119898 + house_intelligence | 4.786411 2.445495 1.96 0.050 -.0092345 9.582057 + house_interior | -.5849178 .739773 -0.79 0.429 -2.035622 .8657863 + house_judiciary | .2340516 .35364 0.66 0.508 -.4594407 .927544 + house_mmf | 2.671613 1.496043 1.79 0.074 -.2621465 5.605372 + house_pocs | .8927577 .8624625 1.04 0.301 -.798542 2.584057 + house_pwt | .8311438 .7760464 1.07 0.284 -.6906927 2.35298 + house_rules | -1.684549 .7029615 -2.40 0.017 -3.063065 -.3060331 + house_sst | .6693297 1.375377 0.49 0.627 -2.027802 3.366461 + house_smallbusi | .6456153 1.227206 0.53 0.599 -1.76095 3.052181 + house_soc | -1.629627 3.029632 -0.54 0.591 -7.570773 4.311519 + house_veterans | 1.245557 .9792494 1.27 0.204 -.6747629 3.165877 + house_waysandmeans | -.1173941 .3422739 -0.34 0.732 -.7885975 .5538093 +house_naturalresources | -.6971001 .632058 -1.10 0.270 -1.936574 .5423735 + house_bfs | -.2408731 .457564 -0.53 0.599 -1.138162 .6564155 + house_eeo | 2.411754 .7409365 3.26 0.001 .9587685 3.86474 + house_govreform | 1.236756 .4950778 2.50 0.013 .2659025 2.20761 + house_ir | .9958086 .674279 1.48 0.140 -.3264609 2.318078 + house_natsecur | -1.792115 .9539832 -1.88 0.060 -3.662888 .0786576 + house_oversight | -.0203184 .6983748 -0.03 0.977 -1.38984 1.349203 + house_resources | .2726253 .7599505 0.36 0.720 -1.217647 1.762898 + house_science | 1.567719 .8201118 1.91 0.056 -.0405303 3.175969 + house_transp | -2.055118 .8613612 -2.39 0.017 -3.744258 -.3659784 + house_homeland | .8468427 .7745126 1.09 0.274 -.671986 2.365671 + _cons | 6.083789 1.856934 3.28 0.001 2.44232 9.725259 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,265 1 0 1 1 + + +j = 5 k = 3 + + +rdbwselect_2014 pct_cosponsors_leader MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 10.55892 17.44562 .6052474 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(13,828 missing values generated) +(55,922 missing values generated) +(42,094 real changes made) +reg pct_cosponsors_leader sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==200 & tag_bill==1, robust cluster(group_sponsor) +(sum of wgt is 35,889.8751336336) + +Linear regression Number of obs = 23,817 + F(267, 1952) = . + Prob > F = . + R-squared = 0.0864 + Root MSE = 9.4251 + + (Std. Err. adjusted for 1,953 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + pct_cosponsors_leader | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -.0814403 .2716771 -0.30 0.764 -.6142481 .4513675 + | + v2 | + 102 | .3971033 .5702153 0.70 0.486 -.7211916 1.515398 + 103 | -.4964231 .4873803 -1.02 0.309 -1.452264 .4594175 + 104 | -1.258112 .5330016 -2.36 0.018 -2.303424 -.2128002 + 105 | .0336016 .5249362 0.06 0.949 -.9958927 1.063096 + 106 | -1.063617 .4832404 -2.20 0.028 -2.011339 -.115896 + 107 | -.0335593 .4665722 -0.07 0.943 -.9485915 .8814728 + 108 | .20574 .5077202 0.41 0.685 -.7899908 1.201471 + 109 | -.2890847 .4968788 -0.58 0.561 -1.263553 .6853841 + 110 | 2.008917 .4937796 4.07 0.000 1.040526 2.977308 + 111 | -.8610116 .4699483 -1.83 0.067 -1.782665 .0606417 + | + minor | + 101 | -2.452136 2.616572 -0.94 0.349 -7.583705 2.679433 + 103 | 6.351643 2.343174 2.71 0.007 1.756257 10.94703 + 104 | .2694118 2.701149 0.10 0.921 -5.028029 5.566852 + 105 | 1.589095 2.185794 0.73 0.467 -2.697639 5.87583 + 107 | 1.431537 1.887565 0.76 0.448 -2.270317 5.133391 + 108 | 3.136063 3.468206 0.90 0.366 -3.665713 9.93784 + 110 | -2.965668 3.105072 -0.96 0.340 -9.055273 3.123937 + 200 | .7609754 2.096774 0.36 0.717 -3.351175 4.873126 + 201 | .867855 3.644643 0.24 0.812 -6.279946 8.015656 + 202 | 2.287285 3.112132 0.73 0.462 -3.816166 8.390737 + 204 | .5047987 2.690246 0.19 0.851 -4.771259 5.780856 + 205 | 6.264661 3.008722 2.08 0.037 .3640154 12.16531 + 206 | -1.024455 2.063143 -0.50 0.620 -5.07065 3.021739 + 207 | 4.017776 3.143454 1.28 0.201 -2.147104 10.18266 + 208 | .1829896 2.052205 0.09 0.929 -3.841754 4.207733 + 209 | -4.746625 1.899929 -2.50 0.013 -8.472727 -1.020522 + 299 | 4.031 2.232565 1.81 0.071 -.3474616 8.409461 + 300 | 3.063201 2.213422 1.38 0.167 -1.277718 7.40412 + 301 | 2.504271 1.886455 1.33 0.184 -1.195407 6.203948 + 302 | 2.574647 2.101735 1.23 0.221 -1.547233 6.696527 + 321 | 2.079166 2.234746 0.93 0.352 -2.303573 6.461905 + 322 | .4689086 1.974015 0.24 0.812 -3.40249 4.340308 + 323 | .9117245 2.074953 0.44 0.660 -3.157632 4.981081 + 324 | .6976874 1.983324 0.35 0.725 -3.191969 4.587343 + 325 | 3.298793 2.521369 1.31 0.191 -1.646065 8.243651 + 331 | 1.496254 2.072207 0.72 0.470 -2.567717 5.560225 + 332 | 2.433749 2.606004 0.93 0.350 -2.677095 7.544592 + 333 | 2.243922 2.297941 0.98 0.329 -2.262754 6.750598 + 334 | 1.621577 2.058366 0.79 0.431 -2.41525 5.658403 + 335 | .140408 2.217965 0.06 0.950 -4.209421 4.490237 + 336 | 2.266699 2.092088 1.08 0.279 -1.836262 6.369659 + 341 | .2945114 2.136677 0.14 0.890 -3.895897 4.48492 + 342 | 3.854088 2.205182 1.75 0.081 -.4706708 8.178847 + 343 | .6027529 2.075236 0.29 0.772 -3.467158 4.672664 + 344 | 2.254965 2.71068 0.83 0.406 -3.061166 7.571096 + 398 | 2.918304 2.037083 1.43 0.152 -1.076783 6.913392 + 399 | -2.097473 1.909921 -1.10 0.272 -5.843172 1.648227 + 400 | 2.615658 2.763123 0.95 0.344 -2.803323 8.034639 + 401 | -.6264043 2.159913 -0.29 0.772 -4.862383 3.609574 + 402 | .29749 1.998422 0.15 0.882 -3.621776 4.216756 + 403 | -.8056262 1.961527 -0.41 0.681 -4.652533 3.041281 + 404 | 1.387943 2.418094 0.57 0.566 -3.354375 6.13026 + 405 | -2.282749 2.321191 -0.98 0.326 -6.835022 2.269524 + 498 | .990106 3.649221 0.27 0.786 -6.166674 8.146886 + 499 | .6975593 2.203194 0.32 0.752 -3.623301 5.01842 + 500 | 11.28187 7.885335 1.43 0.153 -4.182691 26.74643 + 501 | 2.894404 2.893181 1.00 0.317 -2.779646 8.568453 + 502 | 1.703205 2.215819 0.77 0.442 -2.642414 6.048824 + 503 | .5037975 1.899477 0.27 0.791 -3.221419 4.229014 + 504 | 1.75145 2.480308 0.71 0.480 -3.11288 6.61578 + 505 | -1.032303 2.230051 -0.46 0.643 -5.405835 3.34123 + 506 | 1.648951 3.364482 0.49 0.624 -4.949404 8.247306 + 508 | .4052795 2.134753 0.19 0.849 -3.781356 4.591915 + 529 | -.334597 2.258329 -0.15 0.882 -4.763587 4.094393 + 530 | 1.290053 1.990349 0.65 0.517 -2.61338 5.193486 + 599 | 2.925575 3.518441 0.83 0.406 -3.974722 9.825872 + 600 | 1.62389 2.486949 0.65 0.514 -3.253464 6.501245 + 601 | .5246925 2.057038 0.26 0.799 -3.50953 4.558915 + 602 | .1651572 2.047138 0.08 0.936 -3.849648 4.179963 + 603 | 1.387386 2.503238 0.55 0.579 -3.521915 6.296687 + 604 | 1.205559 3.762082 0.32 0.749 -6.172561 8.58368 + 606 | -.9050154 2.168932 -0.42 0.677 -5.158682 3.348651 + 607 | 1.29471 2.304992 0.56 0.574 -3.225795 5.815215 + 609 | 5.145273 3.808349 1.35 0.177 -2.323585 12.61413 + 698 | -1.411786 4.190841 -0.34 0.736 -9.630781 6.807208 + 699 | -1.237176 2.28967 -0.54 0.589 -5.727631 3.253279 + 700 | .1113044 1.96618 0.06 0.955 -3.744729 3.967338 + 701 | 1.316049 2.225664 0.59 0.554 -3.048878 5.680977 + 703 | 1.67089 2.146084 0.78 0.436 -2.537967 5.879747 + 704 | -.8532942 1.995437 -0.43 0.669 -4.766705 3.060116 + 705 | .7456623 2.019446 0.37 0.712 -3.214836 4.70616 + 707 | 2.938764 4.05452 0.72 0.469 -5.012879 10.89041 + 708 | .498917 3.186194 0.16 0.876 -5.749783 6.747617 + 709 | .362369 1.897637 0.19 0.849 -3.359238 4.083976 + 710 | -2.87304 1.93579 -1.48 0.138 -6.669473 .9233939 + 711 | -1.250818 1.952181 -0.64 0.522 -5.079397 2.577762 + 798 | -3.79723 2.560664 -1.48 0.138 -8.819154 1.224693 + 799 | -1.478887 2.452273 -0.60 0.547 -6.288235 3.330462 + 800 | .8449859 2.277995 0.37 0.711 -3.622572 5.312544 + 801 | -2.640636 2.009767 -1.31 0.189 -6.58215 1.300878 + 802 | -1.531839 1.962834 -0.78 0.435 -5.38131 2.317633 + 803 | -.6887659 1.912697 -0.36 0.719 -4.439909 3.062377 + 805 | -3.215364 2.541264 -1.27 0.206 -8.199241 1.768513 + 806 | -1.181611 1.952863 -0.61 0.545 -5.011527 2.648306 + 807 | 1.230231 2.293046 0.54 0.592 -3.266844 5.727306 + 898 | .0152832 4.587894 0.00 0.997 -8.982402 9.012969 + 899 | 18.0661 13.56052 1.33 0.183 -8.528524 44.66073 + 1000 | 1.427027 2.439218 0.59 0.559 -3.35672 6.210773 + 1001 | 2.097915 2.15621 0.97 0.331 -2.130801 6.326631 + 1002 | 1.645503 2.129616 0.77 0.440 -2.531058 5.822063 + 1003 | .2181918 1.994737 0.11 0.913 -3.693847 4.13023 + 1005 | 4.295294 2.811439 1.53 0.127 -1.218444 9.809032 + 1006 | 1.201519 2.080079 0.58 0.564 -2.87789 5.280928 + 1007 | -.6527181 1.996193 -0.33 0.744 -4.567612 3.262176 + 1010 | 4.960476 4.523939 1.10 0.273 -3.911783 13.83274 + 1098 | 4.718278 5.328431 0.89 0.376 -5.731734 15.16829 + 1099 | -.8110029 3.232736 -0.25 0.802 -7.150981 5.528975 + 1200 | 6.997451 3.661983 1.91 0.056 -.1843557 14.17926 + 1201 | 2.170906 2.290173 0.95 0.343 -2.320535 6.662347 + 1202 | 6.424638 4.482948 1.43 0.152 -2.36723 15.2165 + 1203 | 2.028468 2.064025 0.98 0.326 -2.019456 6.076393 + 1204 | 1.228494 2.136766 0.57 0.565 -2.96209 5.419077 + 1205 | -1.126837 1.981205 -0.57 0.570 -5.012336 2.758662 + 1206 | .567647 3.20764 0.18 0.860 -5.723112 6.858406 + 1207 | -.5952046 1.984999 -0.30 0.764 -4.488146 3.297736 + 1208 | 1.717596 1.978399 0.87 0.385 -2.1624 5.597592 + 1209 | 3.200293 2.069843 1.55 0.122 -.8590415 7.259627 + 1210 | 2.492612 2.173008 1.15 0.251 -1.769047 6.754272 + 1211 | -.3209618 2.190882 -0.15 0.884 -4.617675 3.975751 + 1299 | -2.458339 2.23768 -1.10 0.272 -6.846832 1.930154 + 1300 | 3.956367 2.570511 1.54 0.124 -1.084868 8.997601 + 1301 | .635969 2.602727 0.24 0.807 -4.468447 5.740385 + 1302 | 7.517369 3.202793 2.35 0.019 1.236116 13.79862 + 1303 | -.0594439 1.868691 -0.03 0.975 -3.724284 3.605396 + 1304 | 3.14503 2.205962 1.43 0.154 -1.181259 7.471319 + 1305 | 1.023917 2.310821 0.44 0.658 -3.508019 5.555853 + 1399 | 1.994674 3.685354 0.54 0.588 -5.232969 9.222317 + 1400 | 4.261751 2.381375 1.79 0.074 -.4085551 8.932057 + 1401 | .5660179 2.257193 0.25 0.802 -3.860743 4.992779 + 1403 | 2.542041 2.29623 1.11 0.268 -1.961279 7.045361 + 1404 | -1.737812 2.995293 -0.58 0.562 -7.612122 4.136497 + 1405 | -.8663969 2.42016 -0.36 0.720 -5.612767 3.879973 + 1406 | -.1663662 2.333169 -0.07 0.943 -4.74213 4.409398 + 1407 | 5.375319 3.856419 1.39 0.164 -2.187814 12.93845 + 1408 | -1.841532 2.930174 -0.63 0.530 -7.58813 3.905066 + 1409 | -1.821693 2.318073 -0.79 0.432 -6.367851 2.724466 + 1410 | .8560507 2.30604 0.37 0.711 -3.666509 5.378611 + 1499 | -3.1442 2.32117 -1.35 0.176 -7.696431 1.408032 + 1500 | -.4439334 2.223946 -0.20 0.842 -4.805492 3.917625 + 1501 | -.7299977 2.095563 -0.35 0.728 -4.839774 3.379779 + 1502 | 2.538082 2.300354 1.10 0.270 -1.973327 7.04949 + 1504 | -1.976767 1.951589 -1.01 0.311 -5.804184 1.850651 + 1505 | .5748617 2.208684 0.26 0.795 -3.756765 4.906488 + 1507 | -.7204796 2.134889 -0.34 0.736 -4.90738 3.466421 + 1520 | 2.43513 2.315588 1.05 0.293 -2.106156 6.976416 + 1521 | 2.769682 2.302719 1.20 0.229 -1.746364 7.285728 + 1522 | 7.27807 3.322726 2.19 0.029 .7616066 13.79453 + 1523 | -1.043993 1.939651 -0.54 0.590 -4.847997 2.760011 + 1524 | .7976231 2.651078 0.30 0.764 -4.401618 5.996864 + 1525 | 1.710664 2.232273 0.77 0.444 -2.667226 6.088554 + 1526 | 3.46308 2.381447 1.45 0.146 -1.207366 8.133525 + 1599 | 1.302401 2.083127 0.63 0.532 -2.782985 5.387788 + 1600 | 5.615991 2.879288 1.95 0.051 -.0308111 11.26279 + 1602 | 3.702831 5.045228 0.73 0.463 -6.19177 13.59743 + 1603 | 1.559876 3.651232 0.43 0.669 -5.600847 8.7206 + 1604 | 4.157909 2.917549 1.43 0.154 -1.563929 9.879747 + 1605 | 2.639148 2.7331 0.97 0.334 -2.720953 7.999249 + 1606 | 7.194254 6.188422 1.16 0.245 -4.942355 19.33086 + 1608 | 1.202154 1.933942 0.62 0.534 -2.590654 4.994962 + 1609 | 2.564564 2.023067 1.27 0.205 -1.403035 6.532162 + 1610 | 4.076619 3.226393 1.26 0.207 -2.250919 10.40416 + 1611 | -1.400567 2.109617 -0.66 0.507 -5.537905 2.736771 + 1612 | 3.043839 2.440766 1.25 0.213 -1.742942 7.83062 + 1614 | -1.606811 2.365496 -0.68 0.497 -6.245974 3.032352 + 1615 | 2.023993 2.660821 0.76 0.447 -3.194355 7.242342 + 1616 | -3.329025 1.857962 -1.79 0.073 -6.972824 .3147734 + 1617 | -.6906946 2.419887 -0.29 0.775 -5.436529 4.05514 + 1619 | 10.97056 2.869552 3.82 0.000 5.342857 16.59827 + 1620 | -1.58401 3.10613 -0.51 0.610 -7.67569 4.50767 + 1698 | -4.323852 2.208698 -1.96 0.050 -8.655507 .0078028 + 1699 | 3.371832 2.223372 1.52 0.130 -.9886007 7.732264 + 1700 | 5.50139 3.85886 1.43 0.154 -2.06653 13.06931 + 1701 | 1.653608 3.271437 0.51 0.613 -4.762268 8.069485 + 1704 | 4.139002 5.409051 0.77 0.444 -6.469121 14.74712 + 1705 | -2.291613 3.096396 -0.74 0.459 -8.364202 3.780977 + 1706 | .1595368 2.066232 0.08 0.938 -3.892716 4.211789 + 1707 | 1.573558 2.264817 0.69 0.487 -2.868157 6.015273 + 1708 | 3.990305 3.391641 1.18 0.240 -2.661313 10.64192 + 1709 | 4.599877 2.803546 1.64 0.101 -.898381 10.09814 + 1798 | -.8682962 2.303646 -0.38 0.706 -5.38616 3.649568 + 1799 | .5651217 6.103193 0.09 0.926 -11.40434 12.53458 + 1800 | -.2994775 2.151468 -0.14 0.889 -4.518893 3.919939 + 1802 | 1.603133 2.328438 0.69 0.491 -2.963354 6.16962 + 1803 | 11.49718 7.922367 1.45 0.147 -4.040011 27.03437 + 1804 | 1.895168 2.624549 0.72 0.470 -3.252046 7.042382 + 1806 | 1.476842 2.682932 0.55 0.582 -3.784869 6.738554 + 1807 | -3.42229 1.846648 -1.85 0.064 -7.043898 .1993186 + 1808 | 13.25799 10.41527 1.27 0.203 -7.168235 33.68421 + 1899 | 3.167333 6.538385 0.48 0.628 -9.655617 15.99028 + 1900 | .7233892 2.576246 0.28 0.779 -4.329094 5.775872 + 1901 | 1.374934 2.265591 0.61 0.544 -3.068299 5.818166 + 1902 | .0174628 2.31602 0.01 0.994 -4.524669 4.559595 + 1905 | 8.773392 5.277449 1.66 0.097 -1.576635 19.12342 + 1906 | 10.53297 3.834612 2.75 0.006 3.012603 18.05333 + 1907 | .7448906 3.484017 0.21 0.831 -6.087894 7.577675 + 1908 | 2.912075 4.058039 0.72 0.473 -5.04647 10.87062 + 1909 | 3.707213 2.990207 1.24 0.215 -2.157121 9.571548 + 1910 | 3.195021 2.90118 1.10 0.271 -2.494714 8.884757 + 1911 | -1.079005 2.745976 -0.39 0.694 -6.464359 4.306349 + 1912 | -4.415453 1.927658 -2.29 0.022 -8.195938 -.6349686 + 1914 | 2.434618 2.583007 0.94 0.346 -2.631125 7.50036 + 1915 | -.5480303 4.603455 -0.12 0.905 -9.576235 8.480174 + 1919 | 1.108429 2.707527 0.41 0.682 -4.20152 6.418378 + 1920 | 2.155316 2.683466 0.80 0.422 -3.107445 7.418077 + 1925 | 4.990153 2.743612 1.82 0.069 -.3905644 10.37087 + 1926 | 1.159342 2.271682 0.51 0.610 -3.295836 5.61452 + 1927 | .3708356 2.24909 0.16 0.869 -4.040034 4.781705 + 1929 | 1.349682 2.303869 0.59 0.558 -3.16862 5.867985 + 1999 | -1.357929 3.014735 -0.45 0.652 -7.270368 4.554509 + 2000 | -2.069352 1.936885 -1.07 0.285 -5.867931 1.729228 + 2001 | -.7785833 1.990746 -0.39 0.696 -4.682794 3.125627 + 2002 | -.2132478 1.980194 -0.11 0.914 -4.096765 3.670269 + 2003 | -.0764504 2.114188 -0.04 0.971 -4.222755 4.069854 + 2004 | -.847663 1.893919 -0.45 0.655 -4.561979 2.866653 + 2005 | 3.9396 2.30451 1.71 0.088 -.5799587 8.459158 + 2006 | 1.297943 2.526882 0.51 0.608 -3.657726 6.253613 + 2007 | 1.304178 3.076009 0.42 0.672 -4.72843 7.336785 + 2008 | 2.429339 1.934252 1.26 0.209 -1.364076 6.222755 + 2009 | -.1408359 2.087389 -0.07 0.946 -4.234581 3.952909 + 2011 | .2075038 2.207286 0.09 0.925 -4.121381 4.536389 + 2012 | -.4969174 1.953536 -0.25 0.799 -4.328152 3.334318 + 2013 | 1.774503 2.50579 0.71 0.479 -3.139803 6.688809 + 2014 | -.5098205 2.390828 -0.21 0.831 -5.198664 4.179023 + 2015 | 4.749502 4.025578 1.18 0.238 -3.145382 12.64439 + 2030 | 1.434691 2.52599 0.57 0.570 -3.519231 6.388613 + 2099 | -.6771907 2.215977 -0.31 0.760 -5.02312 3.668739 + 2100 | -.2512516 2.146428 -0.12 0.907 -4.460784 3.958281 + 2101 | -.6356994 1.965935 -0.32 0.746 -4.491252 3.219854 + 2102 | .610071 2.187652 0.28 0.780 -3.680308 4.90045 + 2103 | -.9891891 1.957855 -0.51 0.613 -4.828896 2.850518 + 2104 | -1.324032 1.906253 -0.69 0.487 -5.062538 2.414474 + 2105 | 1.768687 2.61604 0.68 0.499 -3.361839 6.899213 + 2199 | 2.195659 6.279167 0.35 0.727 -10.11892 14.51024 + 9999 | .0706025 2.410787 0.03 0.977 -4.657385 4.79859 + | + house_administration | -1.070054 .6802532 -1.57 0.116 -2.404153 .2640445 + house_agriculture | 1.221761 .4845397 2.52 0.012 .2714912 2.17203 + house_appropriations | -.2705443 1.067071 -0.25 0.800 -2.363263 1.822174 + house_armedservices | -.1076441 .4883315 -0.22 0.826 -1.06535 .8500619 + house_budget | -.116697 .7521576 -0.16 0.877 -1.591813 1.358419 + house_dc | 3.699789 3.412456 1.08 0.278 -2.992651 10.39223 + house_educlabor | .9781881 .5743761 1.70 0.089 -.1482668 2.104643 + house_energycommerce | -.0761805 .3621836 -0.21 0.833 -.7864877 .6341268 + house_foreignaffairs | -.2359675 1.237463 -0.19 0.849 -2.662855 2.19092 + house_governmentop | .2213264 .6632558 0.33 0.739 -1.079438 1.52209 + house_intelligence | 2.247946 2.630173 0.85 0.393 -2.910296 7.406188 + house_interior | 1.973483 1.021661 1.93 0.054 -.0301795 3.977145 + house_judiciary | .3866419 .357409 1.08 0.279 -.3143015 1.087585 + house_mmf | 1.166861 .907566 1.29 0.199 -.6130392 2.946761 + house_pocs | .4209396 .6638909 0.63 0.526 -.8810699 1.722949 + house_pwt | -.4315345 .5734155 -0.75 0.452 -1.556106 .6930366 + house_rules | .3131592 .5572697 0.56 0.574 -.7797471 1.406065 + house_sst | -.8490154 1.440819 -0.59 0.556 -3.67472 1.976689 + house_smallbusi | -.0002082 2.168101 -0.00 1.000 -4.252244 4.251828 + house_soc | .5795066 1.322386 0.44 0.661 -2.01393 3.172943 + house_veterans | .8535591 .7784269 1.10 0.273 -.6730761 2.380194 + house_waysandmeans | -.6825224 .2678697 -2.55 0.011 -1.207863 -.1571818 +house_naturalresources | -1.534444 .6690252 -2.29 0.022 -2.846523 -.2223652 + house_bfs | 1.580162 .80283 1.97 0.049 .0056676 3.154656 + house_eeo | .0670364 1.009229 0.07 0.947 -1.912243 2.046316 + house_govreform | 1.824163 .6275822 2.91 0.004 .5933615 3.054965 + house_ir | 2.738393 1.179729 2.32 0.020 .4247327 5.052054 + house_natsecur | .5291602 1.137478 0.47 0.642 -1.701639 2.75996 + house_oversight | -1.525927 .7230347 -2.11 0.035 -2.943929 -.1079262 + house_resources | .4148802 .5162086 0.80 0.422 -.5974978 1.427258 + house_science | 2.897917 .878916 3.30 0.001 1.174205 4.62163 + house_transp | 1.201368 .5370551 2.24 0.025 .1481063 2.25463 + house_homeland | -1.115731 1.081122 -1.03 0.302 -3.236006 1.004545 + _cons | 4.649067 1.867719 2.49 0.013 .9861348 8.312 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,953 1 0 1 1 +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(62,331 observations deleted) +(18 missing values generated) +(0 real changes made) +(0 real changes made) +(17 missing values generated) +(0 real changes made) +(0 real changes made) +(17 missing values generated) +(1 real change made) +(0 real changes made) +(16 missing values generated) +(2 real changes made) +(0 real changes made) +(18 missing values generated) +(0 real changes made) +(0 real changes made) +(5 real changes made) +(5 real changes made) +(5 real changes made) +file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/Table6_pct_cosponsors_leader.xls saved + + +j = 1 k = 1 + + +rdbwselect_2014 pct_cosponsors_ten_5p MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11988 +----------------------+---------------------- NN matches = 3 + Number of obs | 6149 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 21.37807 36.22071 .5902168 +---------------------------------------------- +reg pct_cosponsors_ten_5p sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ +> 3 occ4 borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if tag_bill==1, robust cluster(group_sponsor) + +Linear regression Number of obs = 60,663 + F(291, 4745) = . + Prob > F = . + R-squared = 0.1555 + Root MSE = 24.285 + + (Std. Err. adjusted for 4,746 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + pct_cosponsors_ten_5p | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | .9025703 .5928915 1.52 0.128 -.2597722 2.064913 + | + v2 | + 102 | 3.65279 .8984097 4.07 0.000 1.89149 5.41409 + 103 | -6.356331 1.033406 -6.15 0.000 -8.382287 -4.330376 + 104 | -7.118318 1.167182 -6.10 0.000 -9.406537 -4.8301 + 105 | -6.71586 1.082139 -6.21 0.000 -8.837354 -4.594366 + 106 | -6.559709 1.102219 -5.95 0.000 -8.720569 -4.398849 + 107 | 1.436511 1.112992 1.29 0.197 -.7454698 3.618492 + 108 | 22.98439 3.018204 7.62 0.000 17.06731 28.90147 + 109 | 25.50304 3.037444 8.40 0.000 19.54824 31.45784 + 110 | 24.28788 3.027639 8.02 0.000 18.3523 30.22346 + 111 | 22.00234 3.021112 7.28 0.000 16.07955 27.92512 + | + minor | + 101 | -9.833195 5.287649 -1.86 0.063 -20.19944 .5330504 + 103 | -20.38485 7.347971 -2.77 0.006 -34.79029 -5.979419 + 104 | -6.335834 4.045414 -1.57 0.117 -14.26672 1.595055 + 105 | -.7513491 4.600915 -0.16 0.870 -9.771277 8.268579 + 107 | 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6.872022 5.24667 1.31 0.190 -3.413886 17.15793 + 1603 | -5.086998 4.096777 -1.24 0.214 -13.11858 2.944586 + 1604 | .7898148 4.76956 0.17 0.868 -8.560735 10.14036 + 1605 | -.3339192 3.51435 -0.10 0.924 -7.223676 6.555838 + 1606 | 1.960235 3.951955 0.50 0.620 -5.78743 9.707901 + 1608 | -1.920464 2.929606 -0.66 0.512 -7.663851 3.822922 + 1609 | -.1737286 2.931411 -0.06 0.953 -5.920654 5.573197 + 1610 | 2.289726 3.93774 0.58 0.561 -5.430072 10.00952 + 1611 | -8.330383 3.383569 -2.46 0.014 -14.96375 -1.697018 + 1612 | -2.307607 3.37972 -0.68 0.495 -8.933426 4.318212 + 1614 | -6.856253 4.818005 -1.42 0.155 -16.30178 2.589273 + 1615 | -4.963715 3.278099 -1.51 0.130 -11.39031 1.46288 + 1616 | -6.134881 3.486218 -1.76 0.079 -12.96949 .6997235 + 1617 | -4.39804 4.256211 -1.03 0.302 -12.74219 3.946109 + 1619 | -2.085939 3.510794 -0.59 0.552 -8.968725 4.796846 + 1620 | -8.521368 4.568775 -1.87 0.062 -17.47829 .435552 + 1698 | -4.974428 6.452853 -0.77 0.441 -17.62501 7.676158 + 1699 | .4917575 3.32576 0.15 0.882 -6.028275 7.01179 + 1700 | .4958439 4.06539 0.12 0.903 -7.474208 8.465896 + 1701 | -4.916803 3.634743 -1.35 0.176 -12.04259 2.208981 + 1704 | 4.224826 4.55545 0.93 0.354 -4.70597 13.15562 + 1705 | -6.169921 5.428252 -1.14 0.256 -16.81181 4.471973 + 1706 | 1.101443 3.173004 0.35 0.729 -5.119116 7.322002 + 1707 | 4.281908 3.088134 1.39 0.166 -1.772268 10.33608 + 1708 | 3.055639 4.195227 0.73 0.466 -5.168952 11.28023 + 1709 | 4.43602 3.137388 1.41 0.157 -1.714715 10.58676 + 1798 | -1.352861 3.595404 -0.38 0.707 -8.401522 5.6958 + 1799 | -2.939594 5.873183 -0.50 0.617 -14.45376 8.57457 + 1800 | -2.534465 3.735036 -0.68 0.497 -9.856868 4.787938 + 1802 | 3.040734 3.160694 0.96 0.336 -3.155694 9.237161 + 1803 | -3.387329 3.441899 -0.98 0.325 -10.13505 3.36039 + 1804 | -1.744836 3.788131 -0.46 0.645 -9.171331 5.68166 + 1806 | 5.375221 3.763307 1.43 0.153 -2.002608 12.75305 + 1807 | -26.73014 2.835217 -9.43 0.000 -32.28848 -21.1718 + 1808 | 6.198195 7.332992 0.85 0.398 -8.177872 20.57426 + 1899 | 1.682832 8.273568 0.20 0.839 -14.5372 17.90287 + 1900 | -4.091486 3.713093 -1.10 0.271 -11.37087 3.1879 + 1901 | .5762049 3.112101 0.19 0.853 -5.524957 6.677367 + 1902 | 4.525836 3.844839 1.18 0.239 -3.011832 12.06351 + 1905 | 9.449269 3.579378 2.64 0.008 2.432027 16.46651 + 1906 | -.1311055 3.522807 -0.04 0.970 -7.037443 6.775232 + 1907 | 4.503985 5.527636 0.81 0.415 -6.332745 15.34072 + 1908 | 7.613579 4.730478 1.61 0.108 -1.660354 16.88751 + 1909 | 1.321223 5.963536 0.22 0.825 -10.37007 13.01252 + 1910 | -.781281 5.262456 -0.15 0.882 -11.09814 9.535575 + 1911 | 3.59693 5.047155 0.71 0.476 -6.297837 13.4917 + 1912 | -22.64715 7.916129 -2.86 0.004 -38.16643 -7.127861 + 1914 | 4.191587 3.655981 1.15 0.252 -2.975832 11.35901 + 1915 | 7.690612 7.060342 1.09 0.276 -6.150935 21.53216 + 1919 | 1.031483 4.225323 0.24 0.807 -7.252111 9.315077 + 1920 | .9556302 3.444699 0.28 0.781 -5.797578 7.708839 + 1925 | 9.540132 3.500058 2.73 0.006 2.678395 16.40187 + 1926 | -1.959681 3.58093 -0.55 0.584 -8.979966 5.060604 + 1927 | -1.745038 3.744269 -0.47 0.641 -9.085543 5.595467 + 1929 | -4.994015 3.466257 -1.44 0.150 -11.78949 1.801457 + 1999 | -8.936106 11.49096 -0.78 0.437 -31.46371 13.5915 + 2000 | -9.259605 3.023545 -3.06 0.002 -15.18716 -3.332054 + 2001 | -6.099002 3.355999 -1.82 0.069 -12.67832 .4803134 + 2002 | -6.434419 3.115543 -2.07 0.039 -12.54233 -.3265085 + 2003 | -3.206674 3.240965 -0.99 0.323 -9.560469 3.14712 + 2004 | -2.191879 2.909944 -0.75 0.451 -7.89672 3.512962 + 2005 | -1.583453 5.522253 -0.29 0.774 -12.40963 9.242724 + 2006 | 8.988397 3.056531 2.94 0.003 2.996178 14.98062 + 2007 | -4.719196 3.294673 -1.43 0.152 -11.17829 1.739893 + 2008 | 2.783745 2.862354 0.97 0.331 -2.827796 8.395287 + 2009 | -5.95189 3.975658 -1.50 0.134 -13.74602 1.842244 + 2010 | 5.472961 2.984696 1.83 0.067 -.3784293 11.32435 + 2011 | -7.471159 2.995953 -2.49 0.013 -13.34462 -1.597702 + 2012 | -7.734036 2.92333 -2.65 0.008 -13.46512 -2.002952 + 2013 | -4.212602 3.926679 -1.07 0.283 -11.91071 3.48551 + 2014 | -5.44727 3.933654 -1.38 0.166 -13.15906 2.264518 + 2015 | .2558234 4.353642 0.06 0.953 -8.279334 8.790981 + 2030 | -1.459171 4.469215 -0.33 0.744 -10.22091 7.302564 + 2099 | -1.455882 3.961021 -0.37 0.713 -9.221321 6.309556 + 2100 | -11.05817 3.484688 -3.17 0.002 -17.88978 -4.226568 + 2101 | -3.795329 2.876643 -1.32 0.187 -9.434884 1.844225 + 2102 | -7.86842 2.924922 -2.69 0.007 -13.60262 -2.134216 + 2103 | -9.457538 2.888419 -3.27 0.001 -15.12018 -3.794895 + 2104 | -11.48743 2.913126 -3.94 0.000 -17.19851 -5.776349 + 2105 | -1.510741 4.155599 -0.36 0.716 -9.657645 6.636162 + 2199 | -11.02324 8.937245 -1.23 0.217 -28.54439 6.497909 + 9999 | -7.499524 4.835627 -1.55 0.121 -16.9796 1.980549 + | + house_administration | .2646611 .9419724 0.28 0.779 -1.582042 2.111364 + house_agriculture | 3.180779 .6860458 4.64 0.000 1.835811 4.525747 + house_appropriations | -10.96307 3.255389 -3.37 0.001 -17.34514 -4.580997 + house_armedservices | .6894472 .6310656 1.09 0.275 -.5477343 1.926629 + house_budget | -.4857318 1.546915 -0.31 0.754 -3.518403 2.54694 + house_dc | -2.61829 3.856709 -0.68 0.497 -10.17923 4.94265 + house_educlabor | 1.824292 .4787407 3.81 0.000 .8857381 2.762846 + house_energycommerce | 3.264834 .4058979 8.04 0.000 2.469086 4.060582 + house_foreignaffairs | 6.60129 .9858219 6.70 0.000 4.668621 8.533958 + house_governmentop | 1.376593 1.346156 1.02 0.307 -1.262498 4.015684 + house_intelligence | .1960348 2.133094 0.09 0.927 -3.98582 4.377889 + house_interior | -.2317144 1.072062 -0.22 0.829 -2.333454 1.870025 + house_judiciary | 1.498505 .4569736 3.28 0.001 .6026246 2.394385 + house_mmf | 5.02544 1.306202 3.85 0.000 2.464678 7.586202 + house_pocs | 1.033969 1.126242 0.92 0.359 -1.173988 3.241925 + house_pwt | 2.059794 1.006271 2.05 0.041 .0870366 4.032552 + house_rules | 1.022468 1.024647 1.00 0.318 -.9863151 3.03125 + house_sst | 3.171599 1.759765 1.80 0.072 -.2783567 6.621554 + house_smallbusi | -5.260764 1.449507 -3.63 0.000 -8.102469 -2.419058 + house_soc | -1.96258 4.633389 -0.42 0.672 -11.04617 7.121013 + house_veterans | .4122007 .7470832 0.55 0.581 -1.052429 1.876831 + house_waysandmeans | 1.211497 .376777 3.22 0.001 .4728388 1.950154 +house_naturalresources | -2.206701 .9212472 -2.40 0.017 -4.012773 -.4006294 + house_bfs | .6123169 .615155 1.00 0.320 -.5936724 1.818306 + house_eeo | -1.349985 1.245911 -1.08 0.279 -3.792549 1.092578 + house_govreform | 4.109182 .6080461 6.76 0.000 2.917129 5.301234 + house_ir | 4.022912 1.01635 3.96 0.000 2.030394 6.015429 + house_natsecur | .409586 1.285415 0.32 0.750 -2.110424 2.929596 + house_oversight | -.8944236 .8656191 -1.03 0.302 -2.591439 .8025916 + house_resources | -2.95209 .7333817 -4.03 0.000 -4.389858 -1.514321 + house_science | -1.372661 1.018161 -1.35 0.178 -3.368729 .6234059 + house_transp | .1412209 .7254792 0.19 0.846 -1.281055 1.563497 + house_homeland | 1.468538 1.392835 1.05 0.292 -1.262066 4.199141 + sponsor_democrat | 2.034259 .4012692 5.07 0.000 1.247585 2.820933 + sponsor_rookie | -2.982638 .5471848 -5.45 0.000 -4.055374 -1.909902 + sponsor_tenure_run | .4111527 .0848331 4.85 0.000 .2448404 .577465 + sponsor_age | .0519908 .0236519 2.20 0.028 .0056221 .0983595 + leader | .3334501 .5915029 0.56 0.573 -.8261702 1.49307 + ivycoll | -1.193747 .6145077 -1.94 0.052 -2.398467 .0109731 + black | .4851142 1.223017 0.40 0.692 -1.912567 2.882796 + occ0 | 2.290185 .6331008 3.62 0.000 1.049014 3.531356 + occ1 | 1.457116 .7222309 2.02 0.044 .0412081 2.873024 + occ2 | 1.332862 .5599358 2.38 0.017 .235128 2.430596 + occ3 | -.6324531 .7534256 -0.84 0.401 -2.109517 .8446106 + occ4 | 1.206241 .6078936 1.98 0.047 .0144878 2.397995 + borninstate | .752441 .3857592 1.95 0.051 -.003826 1.508708 + tot_bills | -.1486069 .0245481 -6.05 0.000 -.1967326 -.1004813 + NE | -.9683095 .559387 -1.73 0.084 -2.064968 .1283487 + MW | .2669275 .5382348 0.50 0.620 -.7882625 1.322118 + WE | 1.12289 .5837748 1.92 0.054 -.0215793 2.26736 + pct_black | -5.440658 2.626114 -2.07 0.038 -10.58906 -.2922554 + pct_urban | -3.970962 1.315059 -3.02 0.003 -6.549089 -1.392835 + pct_for_born | .2505441 3.134684 0.08 0.936 -5.894891 6.395979 + pct_age_over65 | 15.10556 5.232596 2.89 0.004 4.84724 25.36387 + lninc | 5.92723 1.071444 5.53 0.000 3.826702 8.027758 + lnpden | 1.104265 .189534 5.83 0.000 .7326905 1.47584 + _cons | -40.41572 10.89949 -3.71 0.000 -61.78378 -19.04766 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,746 1 0 1 1 + + +j = 1 k = 2 + + +rdbwselect_2014 pct_cosponsors_ten_5p MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6186 +----------------------+---------------------- NN matches = 3 + Number of obs | 2192 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 19.17042 42.99568 .4458686 +---------------------------------------------- +reg pct_cosponsors_ten_5p sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ +> 3 occ4 borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if sponsor_party==100 & tag_bill==1, robust cluster(group_sponso +> r) +note: sponsor_democrat omitted because of collinearity + +Linear regression Number of obs = 32,845 + F(290, 2491) = . + Prob > F = . + R-squared = 0.1632 + Root MSE = 25.023 + + (Std. Err. adjusted for 2,492 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + pct_cosponsors_ten_5p | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | .5481067 .7554169 0.73 0.468 -.9332029 2.029416 + | + v2 | + 102 | 4.706677 .9497714 4.96 0.000 2.844254 6.5691 + 103 | -5.67676 1.32137 -4.30 0.000 -8.267856 -3.085663 + 104 | -8.297719 1.570932 -5.28 0.000 -11.37819 -5.217253 + 105 | -6.323803 1.394019 -4.54 0.000 -9.057359 -3.590247 + 106 | -7.592055 1.36829 -5.55 0.000 -10.27516 -4.908953 + 107 | 2.8044 1.43252 1.96 0.050 -.0046523 5.613452 + 108 | 22.50144 3.949762 5.70 0.000 14.75629 30.2466 + 109 | 27.33913 4.052927 6.75 0.000 19.39168 35.28659 + 110 | 28.15456 3.941576 7.14 0.000 20.42546 35.88366 + 111 | 24.09397 3.93039 6.13 0.000 16.38681 31.80114 + | + minor | + 101 | -3.197486 8.419098 -0.38 0.704 -19.70664 13.31166 + 103 | -20.6905 9.54987 -2.17 0.030 -39.417 -1.964003 + 104 | -3.700761 6.366091 -0.58 0.561 -16.18414 8.782614 + 105 | -3.137186 4.565465 -0.69 0.492 -12.08968 5.815311 + 107 | -2.521504 4.258671 -0.59 0.554 -10.8724 5.829396 + 108 | 1.133679 5.70782 0.20 0.843 -10.05888 12.32624 + 110 | .3835723 16.77009 0.02 0.982 -32.50117 33.26832 + 200 | 2.232667 4.762725 0.47 0.639 -7.106641 11.57197 + 201 | 2.020987 5.501136 0.37 0.713 -8.766284 12.80826 + 202 | 6.890824 4.816925 1.43 0.153 -2.554764 16.33641 + 204 | .3545132 8.575423 0.04 0.967 -16.46118 17.1702 + 205 | 5.140098 7.437018 0.69 0.490 -9.443276 19.72347 + 206 | 2.949198 5.161336 0.57 0.568 -7.171752 13.07015 + 207 | 10.4137 4.937185 2.11 0.035 .7322926 20.09511 + 208 | .3893528 4.553746 0.09 0.932 -8.540164 9.31887 + 209 | 12.46631 20.87515 0.60 0.550 -28.46811 53.40074 + 299 | 18.20826 8.004144 2.27 0.023 2.5128 33.90372 + 300 | 5.350837 4.830483 1.11 0.268 -4.121338 14.82301 + 301 | 4.663839 4.391098 1.06 0.288 -3.946739 13.27442 + 302 | 2.371345 4.267176 0.56 0.578 -5.996232 10.73892 + 321 | 5.182047 4.41819 1.17 0.241 -3.481655 13.84575 + 322 | -.5494314 4.351639 -0.13 0.900 -9.082634 7.983771 + 323 | 3.733943 4.477723 0.83 0.404 -5.0465 12.51439 + 324 | -4.412037 4.711588 -0.94 0.349 -13.65107 4.826996 + 325 | 3.778881 4.469364 0.85 0.398 -4.98517 12.54293 + 331 | 10.78798 4.391082 2.46 0.014 2.177436 19.39853 + 332 | 8.323126 4.326176 1.92 0.054 -.1601457 16.8064 + 333 | 11.73189 4.613974 2.54 0.011 2.68427 20.77951 + 334 | 9.339157 4.364896 2.14 0.032 .7799582 17.89836 + 335 | 1.767095 4.557555 0.39 0.698 -7.16989 10.70408 + 336 | 9.735653 4.368206 2.23 0.026 1.169965 18.30134 + 341 | 10.73458 4.693121 2.29 0.022 1.531759 19.9374 + 342 | -2.610247 6.737135 -0.39 0.698 -15.82121 10.60071 + 343 | 7.635332 5.293186 1.44 0.149 -2.744166 18.01483 + 344 | 7.476229 6.64264 1.13 0.260 -5.549436 20.50189 + 398 | 10.30508 4.37353 2.36 0.019 1.728952 18.88121 + 399 | 2.574926 5.622714 0.46 0.647 -8.450747 13.6006 + 400 | -.6833152 5.030433 -0.14 0.892 -10.54758 9.180945 + 401 | -6.435897 5.601649 -1.15 0.251 -17.42026 4.54847 + 402 | .1325855 4.499924 0.03 0.976 -8.691391 8.956562 + 403 | 1.647103 4.68281 0.35 0.725 -7.535498 10.8297 + 404 | -.0949104 5.768907 -0.02 0.987 -11.40726 11.21744 + 405 | 12.9779 5.732168 2.26 0.024 1.737601 24.21821 + 498 | 6.176382 5.596935 1.10 0.270 -4.798742 17.15151 + 499 | .611613 6.859816 0.09 0.929 -12.83991 14.06314 + 500 | -4.30987 6.56269 -0.66 0.511 -17.17876 8.559019 + 501 | 4.038253 4.716016 0.86 0.392 -5.209463 13.28597 + 502 | 3.702604 4.618212 0.80 0.423 -5.353324 12.75853 + 503 | 5.045992 4.264777 1.18 0.237 -3.31688 13.40886 + 504 | 5.414233 4.828209 1.12 0.262 -4.053483 14.88195 + 505 | 4.742352 4.796501 0.99 0.323 -4.663188 14.14789 + 506 | 10.41504 5.344425 1.95 0.051 -.0649368 20.89501 + 508 | 2.415756 4.602912 0.52 0.600 -6.610172 11.44168 + 529 | 6.661367 7.499824 0.89 0.375 -8.045164 21.3679 + 530 | 3.747822 4.331969 0.87 0.387 -4.746809 12.24245 + 599 | 9.420409 13.03724 0.72 0.470 -16.14454 34.98536 + 600 | 6.173005 4.66449 1.32 0.186 -2.973672 15.31968 + 601 | 4.069836 4.233784 0.96 0.337 -4.232261 12.37193 + 602 | 3.736249 4.289429 0.87 0.384 -4.674963 12.14746 + 603 | 2.05553 4.672317 0.44 0.660 -7.106494 11.21755 + 604 | -.6724481 5.623829 -0.12 0.905 -11.70031 10.35541 + 606 | 5.971695 5.571273 1.07 0.284 -4.953107 16.8965 + 607 | 1.86959 4.507965 0.41 0.678 -6.970155 10.70934 + 609 | 2.354975 6.515119 0.36 0.718 -10.42063 15.13058 + 698 | 10.61141 8.806729 1.20 0.228 -6.657856 27.88067 + 699 | 3.662238 5.212222 0.70 0.482 -6.558495 13.88297 + 700 | 4.190949 4.639151 0.90 0.366 -4.90604 13.28794 + 701 | 4.612217 4.856627 0.95 0.342 -4.911225 14.13566 + 703 | 1.932208 4.755102 0.41 0.685 -7.39215 11.25657 + 704 | 1.874474 4.467041 0.42 0.675 -6.885022 10.63397 + 705 | 1.04231 4.576832 0.23 0.820 -7.932476 10.0171 + 707 | 8.705191 5.026668 1.73 0.083 -1.151686 18.56207 + 708 | 4.458441 5.501231 0.81 0.418 -6.329015 15.2459 + 709 | 13.44148 4.331921 3.10 0.002 4.946943 21.93602 + 710 | 7.275166 4.580374 1.59 0.112 -1.706566 16.2569 + 711 | -.1038633 4.894138 -0.02 0.983 -9.700861 9.493134 + 798 | .3129237 5.819901 0.05 0.957 -11.09942 11.72527 + 799 | -2.807917 7.680816 -0.37 0.715 -17.86936 12.25352 + 800 | -2.278114 4.734113 -0.48 0.630 -11.56132 7.005088 + 801 | 3.436324 5.018489 0.68 0.494 -6.404516 13.27716 + 802 | -3.18239 4.640335 -0.69 0.493 -12.2817 5.916921 + 803 | .1908727 4.444922 0.04 0.966 -8.525249 8.906995 + 805 | 14.17961 5.826248 2.43 0.015 2.75482 25.60439 + 806 | .304112 4.457712 0.07 0.946 -8.43709 9.045314 + 807 | .9027777 4.650749 0.19 0.846 -8.216954 10.02251 + 898 | 4.872006 5.922485 0.82 0.411 -6.741493 16.48551 + 899 | -16.46656 10.40766 -1.58 0.114 -36.87511 3.942002 + 1000 | -.3741721 5.11078 -0.07 0.942 -10.39599 9.647641 + 1001 | 1.369818 5.87293 0.23 0.816 -10.14651 12.88615 + 1002 | .6161825 4.824715 0.13 0.898 -8.844682 10.07705 + 1003 | 5.147001 4.733697 1.09 0.277 -4.135385 14.42939 + 1005 | 3.351303 4.960849 0.68 0.499 -6.376508 13.07911 + 1006 | .7117948 4.557623 0.16 0.876 -8.225325 9.648915 + 1007 | 4.633167 4.642421 1.00 0.318 -4.470235 13.73657 + 1010 | 3.817917 5.406348 0.71 0.480 -6.783483 14.41932 + 1098 | -7.105776 8.751943 -0.81 0.417 -24.26761 10.05606 + 1099 | 5.866277 12.68513 0.46 0.644 -19.00821 30.74076 + 1200 | 1.607736 5.834058 0.28 0.783 -9.832366 13.04784 + 1201 | -.212963 4.692094 -0.05 0.964 -9.41377 8.987844 + 1202 | 5.032401 5.415332 0.93 0.353 -5.586615 15.65142 + 1203 | .864537 4.563437 0.19 0.850 -8.083983 9.813057 + 1204 | 3.871814 4.701512 0.82 0.410 -5.347461 13.09109 + 1205 | 7.301081 5.076076 1.44 0.150 -2.652681 17.25484 + 1206 | -2.580959 5.107416 -0.51 0.613 -12.59618 7.434259 + 1207 | -1.512104 4.847206 -0.31 0.755 -11.01707 7.992863 + 1208 | 4.731553 4.342168 1.09 0.276 -3.783077 13.24618 + 1209 | 1.188074 4.358237 0.27 0.785 -7.358066 9.734214 + 1210 | -.4764607 4.632735 -0.10 0.918 -9.560868 8.607947 + 1211 | 1.666196 5.17734 0.32 0.748 -8.486138 11.81853 + 1299 | .4973906 6.922388 0.07 0.943 -13.07684 14.07162 + 1300 | 3.811273 5.142797 0.74 0.459 -6.273324 13.89587 + 1301 | 2.229636 4.773334 0.47 0.640 -7.130474 11.58975 + 1302 | -1.823048 4.778016 -0.38 0.703 -11.19234 7.546244 + 1303 | -3.336554 4.392728 -0.76 0.448 -11.95033 5.277221 + 1304 | 7.941865 4.586905 1.73 0.084 -1.052675 16.9364 + 1305 | 1.94223 4.957088 0.39 0.695 -7.778206 11.66267 + 1399 | 13.80766 10.69422 1.29 0.197 -7.162827 34.77814 + 1400 | .7871516 4.671812 0.17 0.866 -8.373882 9.948185 + 1401 | 4.110759 4.750265 0.87 0.387 -5.204115 13.42563 + 1403 | 7.52912 5.137783 1.47 0.143 -2.545645 17.60389 + 1404 | .6792319 8.085181 0.08 0.933 -15.17513 16.5336 + 1405 | .3736378 4.891484 0.08 0.939 -9.218155 9.965431 + 1406 | .8572833 4.612146 0.19 0.853 -8.186751 9.901317 + 1407 | 1.610607 4.975411 0.32 0.746 -8.145759 11.36697 + 1408 | 6.338141 6.145531 1.03 0.302 -5.712735 18.38902 + 1409 | 13.22355 5.284065 2.50 0.012 2.861937 23.58516 + 1410 | -1.96958 5.028469 -0.39 0.695 -11.82999 7.89083 + 1499 | -12.08985 5.585024 -2.16 0.031 -23.04162 -1.138084 + 1500 | 3.165514 5.898427 0.54 0.592 -8.400811 14.73184 + 1501 | -.2635867 4.397879 -0.06 0.952 -8.887462 8.360288 + 1502 | 5.50026 4.650719 1.18 0.237 -3.619412 14.61993 + 1504 | 3.868443 4.517031 0.86 0.392 -4.989079 12.72596 + 1505 | .2915575 4.790234 0.06 0.951 -9.101692 9.684807 + 1507 | -.3290291 5.515265 -0.06 0.952 -11.14401 10.48595 + 1520 | -4.796052 4.790477 -1.00 0.317 -14.18978 4.597674 + 1521 | -1.688292 4.483479 -0.38 0.707 -10.48002 7.103438 + 1522 | 8.766223 4.715605 1.86 0.063 -.4806863 18.01313 + 1523 | 2.366648 4.485418 0.53 0.598 -6.428883 11.16218 + 1524 | 1.67897 6.851841 0.25 0.806 -11.75692 15.11486 + 1525 | 1.737657 4.438068 0.39 0.695 -6.965024 10.44034 + 1526 | -4.156877 4.977241 -0.84 0.404 -13.91683 5.603079 + 1599 | 3.664239 5.589204 0.66 0.512 -7.295724 14.6242 + 1600 | 4.910588 4.90477 1.00 0.317 -4.707257 14.52843 + 1602 | 9.51233 6.554818 1.45 0.147 -3.341122 22.36578 + 1603 | -5.242741 6.035395 -0.87 0.385 -17.07765 6.592165 + 1604 | 3.396023 6.921495 0.49 0.624 -10.17645 16.9685 + 1605 | 5.018003 4.899037 1.02 0.306 -4.588601 14.62461 + 1606 | 6.46436 5.243888 1.23 0.218 -3.818468 16.74719 + 1608 | .9090303 4.356671 0.21 0.835 -7.634039 9.4521 + 1609 | 3.584566 4.373784 0.82 0.413 -4.99206 12.16119 + 1610 | 6.88812 5.306987 1.30 0.194 -3.518439 17.29468 + 1611 | -5.506161 4.787831 -1.15 0.250 -14.8947 3.882377 + 1612 | 4.949899 5.086487 0.97 0.331 -5.024279 14.92408 + 1614 | .6095637 6.142731 0.10 0.921 -11.43582 12.65495 + 1615 | 1.892802 4.75924 0.40 0.691 -7.439672 11.22528 + 1616 | 1.877645 5.213496 0.36 0.719 -8.345587 12.10088 + 1617 | -1.357044 5.727365 -0.24 0.813 -12.58793 9.873841 + 1619 | 2.274912 4.990511 0.46 0.649 -7.511064 12.06089 + 1620 | -1.776717 6.444963 -0.28 0.783 -14.41475 10.86132 + 1698 | -2.712909 7.929476 -0.34 0.732 -18.26195 12.83613 + 1699 | 6.591555 4.907359 1.34 0.179 -3.031367 16.21448 + 1700 | 7.542739 5.981756 1.26 0.207 -4.186988 19.27247 + 1701 | 1.739418 4.947598 0.35 0.725 -7.96241 11.44125 + 1704 | 3.871767 7.285101 0.53 0.595 -10.41371 18.15724 + 1705 | 2.212271 7.235595 0.31 0.760 -11.97613 16.40067 + 1706 | 3.653843 4.702553 0.78 0.437 -5.567471 12.87516 + 1707 | 11.25862 4.447096 2.53 0.011 2.538233 19.979 + 1708 | 8.148621 6.225941 1.31 0.191 -4.059931 20.35717 + 1709 | 5.17837 4.944721 1.05 0.295 -4.517817 14.87456 + 1798 | 6.609076 5.280044 1.25 0.211 -3.744652 16.9628 + 1799 | 7.54726 7.982278 0.95 0.344 -8.105324 23.19984 + 1800 | 4.188652 5.489141 0.76 0.445 -6.575097 14.9524 + 1802 | 5.1951 4.694261 1.11 0.269 -4.009955 14.40015 + 1803 | 4.477705 4.909058 0.91 0.362 -5.148549 14.10396 + 1804 | -1.905703 5.249599 -0.36 0.717 -12.19973 8.388323 + 1806 | 7.847867 5.293066 1.48 0.138 -2.531396 18.22713 + 1807 | -22.23153 4.25198 -5.23 0.000 -30.56931 -13.89375 + 1808 | 3.210689 8.530329 0.38 0.707 -13.51658 19.93795 + 1899 | 6.475143 10.3807 0.62 0.533 -13.88054 26.83083 + 1900 | 4.261485 5.205349 0.82 0.413 -5.945772 14.46874 + 1901 | 9.651668 4.554433 2.12 0.034 .7208046 18.58253 + 1902 | 12.62829 5.100859 2.48 0.013 2.625927 22.63065 + 1905 | 14.66828 4.813304 3.05 0.002 5.229793 24.10677 + 1906 | 3.074972 5.105648 0.60 0.547 -6.936779 13.08672 + 1907 | 10.58932 7.714364 1.37 0.170 -4.53791 25.71654 + 1908 | 14.97582 6.477159 2.31 0.021 2.274647 27.67698 + 1909 | -.4574932 8.263183 -0.06 0.956 -16.66091 15.74592 + 1910 | -1.372173 8.00008 -0.17 0.864 -17.05966 14.31532 + 1911 | 6.241019 6.553571 0.95 0.341 -6.609988 19.09203 + 1912 | -17.18911 10.29028 -1.67 0.095 -37.36748 2.989269 + 1914 | 10.91355 5.012239 2.18 0.030 1.084962 20.74213 + 1915 | 18.09134 9.690069 1.87 0.062 -.9100742 37.09276 + 1919 | 6.882079 7.097039 0.97 0.332 -7.034623 20.79878 + 1920 | 6.849258 4.81132 1.42 0.155 -2.58534 16.28386 + 1925 | 14.49778 5.040491 2.88 0.004 4.613795 24.38176 + 1926 | 4.914785 5.799707 0.85 0.397 -6.457957 16.28753 + 1927 | -.5286441 5.790711 -0.09 0.927 -11.88375 10.82646 + 1929 | -2.767341 4.998871 -0.55 0.580 -12.56971 7.035028 + 1999 | -7.48202 18.07201 -0.41 0.679 -42.91973 27.95569 + 2000 | -4.956361 4.708466 -1.05 0.293 -14.18927 4.276549 + 2001 | -1.418578 5.024233 -0.28 0.778 -11.27068 8.433524 + 2002 | -4.846346 4.923869 -0.98 0.325 -14.50164 4.808951 + 2003 | -.634213 4.751197 -0.13 0.894 -9.950915 8.682489 + 2004 | 3.83026 4.327579 0.89 0.376 -4.655762 12.31628 + 2005 | 1.613778 8.042746 0.20 0.841 -14.15738 17.38493 + 2006 | 12.88557 4.653379 2.77 0.006 3.760685 22.01046 + 2007 | -1.583168 4.760724 -0.33 0.740 -10.91855 7.752216 + 2008 | 6.645283 4.28702 1.55 0.121 -1.761207 15.05177 + 2009 | 1.082665 5.998259 0.18 0.857 -10.67942 12.84475 + 2010 | 7.153036 4.371481 1.64 0.102 -1.419073 15.72515 + 2011 | -2.782996 4.618181 -0.60 0.547 -11.83887 6.272873 + 2012 | -1.886214 4.379888 -0.43 0.667 -10.47481 6.702382 + 2013 | 5.505682 5.411982 1.02 0.309 -5.106764 16.11813 + 2014 | -.5325448 5.462939 -0.10 0.922 -11.24491 10.17982 + 2015 | 5.442236 5.987035 0.91 0.363 -6.297841 17.18231 + 2030 | 5.874704 6.373974 0.92 0.357 -6.624129 18.37354 + 2099 | 8.430694 5.514424 1.53 0.126 -2.382632 19.24402 + 2100 | -4.505172 5.536058 -0.81 0.416 -15.36092 6.350576 + 2101 | -.0604557 4.321393 -0.01 0.989 -8.534349 8.413437 + 2102 | -3.16516 4.368942 -0.72 0.469 -11.73229 5.401971 + 2103 | -.8632973 4.332856 -0.20 0.842 -9.359667 7.633072 + 2104 | -8.074975 4.373636 -1.85 0.065 -16.65131 .5013613 + 2105 | 6.644091 7.069042 0.94 0.347 -7.217713 20.50589 + 2199 | -11.0718 13.26519 -0.83 0.404 -37.08373 14.94013 + 9999 | -3.304475 7.571261 -0.44 0.663 -18.15109 11.54214 + | + house_administration | 1.607484 1.302996 1.23 0.217 -.9475823 4.162551 + house_agriculture | 2.758412 .9472002 2.91 0.004 .9010307 4.615792 + house_appropriations | -16.21159 1.799059 -9.01 0.000 -19.73939 -12.68379 + house_armedservices | .6223623 .8492744 0.73 0.464 -1.042994 2.287719 + house_budget | 2.095164 1.815835 1.15 0.249 -1.465536 5.655864 + house_dc | -12.37752 4.460391 -2.77 0.006 -21.12397 -3.631061 + house_educlabor | 1.831118 .6221089 2.94 0.003 .6112139 3.051021 + house_energycommerce | 3.505434 .5301648 6.61 0.000 2.465825 4.545043 + house_foreignaffairs | 5.736993 1.16837 4.91 0.000 3.445917 8.028069 + house_governmentop | 2.551325 1.535602 1.66 0.097 -.4598629 5.562512 + house_intelligence | 2.046954 2.724121 0.75 0.452 -3.294821 7.388728 + house_interior | -3.19773 1.324408 -2.41 0.016 -5.794784 -.6006766 + house_judiciary | 2.163465 .6712276 3.22 0.001 .8472439 3.479687 + house_mmf | 5.323914 1.727507 3.08 0.002 1.936418 8.711411 + house_pocs | -.1665303 1.481549 -0.11 0.911 -3.071724 2.738663 + house_pwt | 1.502221 1.267369 1.19 0.236 -.9829847 3.987427 + house_rules | 1.968097 1.488821 1.32 0.186 -.9513574 4.887551 + house_sst | 4.671002 2.154342 2.17 0.030 .4465174 8.895487 + house_smallbusi | -4.171983 1.878495 -2.22 0.026 -7.855555 -.4884099 + house_soc | -2.602476 5.358936 -0.49 0.627 -13.1109 7.905952 + house_veterans | .5231362 .9925957 0.53 0.598 -1.423261 2.469534 + house_waysandmeans | .7109499 .4953064 1.44 0.151 -.2603047 1.682205 +house_naturalresources | -2.57765 1.21723 -2.12 0.034 -4.964538 -.1907632 + house_bfs | .9476993 .7874981 1.20 0.229 -.596519 2.491918 + house_eeo | .8859342 1.759447 0.50 0.615 -2.564196 4.336064 + house_govreform | 6.149603 .8841033 6.96 0.000 4.41595 7.883256 + house_ir | 4.004171 1.324342 3.02 0.003 1.407247 6.601094 + house_natsecur | .863927 1.674446 0.52 0.606 -2.419523 4.147377 + house_oversight | -1.403402 1.219449 -1.15 0.250 -3.794641 .9878362 + house_resources | -2.625785 1.119052 -2.35 0.019 -4.820154 -.4314166 + house_science | -3.605817 1.266657 -2.85 0.004 -6.089627 -1.122008 + house_transp | -2.02593 .8253864 -2.45 0.014 -3.644444 -.4074164 + house_homeland | 2.287393 1.843701 1.24 0.215 -1.327952 5.902738 + sponsor_democrat | 0 (omitted) + sponsor_rookie | -4.493455 .8046464 -5.58 0.000 -6.071299 -2.91561 + sponsor_tenure_run | .5418381 .099976 5.42 0.000 .3457936 .7378826 + sponsor_age | .0066153 .033014 0.20 0.841 -.0581224 .071353 + leader | 1.093138 .8236673 1.33 0.185 -.5220046 2.708281 + ivycoll | -2.126751 .7588528 -2.80 0.005 -3.614798 -.6387035 + black | .17921 1.429519 0.13 0.900 -2.623958 2.982378 + occ0 | 1.112651 .8773779 1.27 0.205 -.6078142 2.833116 + occ1 | 1.527468 .9479398 1.61 0.107 -.3313636 3.386299 + occ2 | -.0571081 .773455 -0.07 0.941 -1.573789 1.459573 + occ3 | -.0505497 1.16462 -0.04 0.965 -2.334272 2.233173 + occ4 | -.8646061 .9621737 -0.90 0.369 -2.751349 1.022136 + borninstate | .9087773 .5248512 1.73 0.083 -.1204121 1.937967 + tot_bills | -.2196528 .0185611 -11.83 0.000 -.2560495 -.183256 + NE | -2.353215 .8302814 -2.83 0.005 -3.981328 -.7251024 + MW | .4159765 .7914008 0.53 0.599 -1.135894 1.967848 + WE | 1.863871 .8642278 2.16 0.031 .1691923 3.55855 + pct_black | -7.012594 3.267094 -2.15 0.032 -13.41909 -.6060939 + pct_urban | -.0007345 1.817371 -0.00 1.000 -3.564447 3.562978 + pct_for_born | -3.711186 3.842655 -0.97 0.334 -11.24631 3.82394 + pct_age_over65 | 20.61881 8.628559 2.39 0.017 3.698925 37.5387 + lninc | 5.410829 1.352125 4.00 0.000 2.759425 8.062234 + lnpden | 1.127564 .2484664 4.54 0.000 .6403422 1.614786 + _cons | -37.30918 13.69546 -2.72 0.006 -64.16483 -10.45353 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,492 1 0 1 1 + + +j = 1 k = 3 + + +rdbwselect_2014 pct_cosponsors_ten_5p MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5802 +----------------------+---------------------- NN matches = 3 + Number of obs | 3957 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 11.48228 19.59772 .5858987 +---------------------------------------------- +reg pct_cosponsors_ten_5p sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ +> 3 occ4 borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if sponsor_party==200 & tag_bill==1, robust cluster(group_sponso +> r) +note: sponsor_democrat omitted because of collinearity + +Linear regression Number of obs = 27,666 + F(289, 2243) = . + Prob > F = . + R-squared = 0.1658 + Root MSE = 22.985 + + (Std. Err. adjusted for 2,244 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + pct_cosponsors_ten_5p | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 1.045138 .8059565 1.30 0.195 -.5353607 2.625636 + | + v2 | + 102 | 1.527012 1.483427 1.03 0.303 -1.382022 4.436046 + 103 | -5.925232 1.652948 -3.58 0.000 -9.166699 -2.683764 + 104 | -6.451056 1.672825 -3.86 0.000 -9.731503 -3.17061 + 105 | -7.006126 1.626232 -4.31 0.000 -10.1952 -3.81705 + 106 | -6.078593 1.639161 -3.71 0.000 -9.293023 -2.864162 + 107 | .0030279 1.653885 0.00 0.999 -3.240276 3.246332 + 108 | 16.29605 4.482719 3.64 0.000 7.505342 25.08676 + 109 | 16.9525 4.424414 3.83 0.000 8.276129 25.62888 + 110 | 12.6686 4.480697 2.83 0.005 3.881857 21.45535 + 111 | 13.22683 4.478094 2.95 0.003 4.44519 22.00847 + | + minor | + 101 | -15.43243 6.879666 -2.24 0.025 -28.92361 -1.941255 + 103 | -13.98974 10.35315 -1.35 0.177 -34.29249 6.313015 + 104 | -9.474006 5.205807 -1.82 0.069 -19.68271 .7346958 + 105 | -2.625714 4.92273 -0.53 0.594 -12.2793 7.027869 + 107 | 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2.95376 0.54 0.591 -4.2064 7.378379 + house_smallbusi | -7.007779 2.279534 -3.07 0.002 -11.478 -2.537563 + house_soc | -3.23727 8.821447 -0.37 0.714 -20.53632 14.06178 + house_veterans | .780357 1.141304 0.68 0.494 -1.457765 3.018479 + house_waysandmeans | 1.547998 .533954 2.90 0.004 .5009021 2.595094 +house_naturalresources | -1.442491 1.337548 -1.08 0.281 -4.065453 1.18047 + house_bfs | .1157305 .9808966 0.12 0.906 -1.807829 2.03929 + house_eeo | -3.036709 1.696548 -1.79 0.074 -6.363678 .2902596 + house_govreform | 2.141521 .8294889 2.58 0.010 .5148753 3.768167 + house_ir | 4.065144 1.431866 2.84 0.005 1.257224 6.873064 + house_natsecur | -.1913976 2.026994 -0.09 0.925 -4.166378 3.783583 + house_oversight | -1.182444 1.219647 -0.97 0.332 -3.574199 1.209311 + house_resources | -2.73653 .9674817 -2.83 0.005 -4.633783 -.8392775 + house_science | 1.274273 1.523917 0.84 0.403 -1.714162 4.262707 + house_transp | 2.880164 1.115933 2.58 0.010 .6917953 5.068532 + house_homeland | .5230264 2.178398 0.24 0.810 -3.74886 4.794912 + sponsor_democrat | 0 (omitted) + sponsor_rookie | -1.973591 .7448829 -2.65 0.008 -3.434323 -.5128594 + sponsor_tenure_run | .2949785 .1140562 2.59 0.010 .0713117 .5186452 + sponsor_age | .0483802 .028865 1.68 0.094 -.0082247 .1049852 + leader | -.6628834 .8057268 -0.82 0.411 -2.242932 .9171647 + ivycoll | .7884175 .8595073 0.92 0.359 -.8970953 2.47393 + black | -8.618863 4.141789 -2.08 0.038 -16.741 -.4967233 + occ0 | 3.058637 .8097415 3.78 0.000 1.470716 4.646558 + occ1 | 1.406155 .9963249 1.41 0.158 -.54766 3.35997 + occ2 | 2.267643 .7289861 3.11 0.002 .8380847 3.6972 + occ3 | -1.718991 1.012371 -1.70 0.090 -3.704272 .2662908 + occ4 | 2.650234 .7181614 3.69 0.000 1.241904 4.058565 + borninstate | .6505775 .5123625 1.27 0.204 -.3541767 1.655332 + tot_bills | -.0536106 .0338904 -1.58 0.114 -.1200704 .0128493 + NE | .3787333 .7805235 0.49 0.628 -1.151891 1.909357 + MW | .4272715 .6833896 0.63 0.532 -.9128706 1.767414 + WE | -.1348946 .7838925 -0.17 0.863 -1.672125 1.402336 + pct_black | 1.434345 3.736173 0.38 0.701 -5.892373 8.761062 + pct_urban | -3.829151 1.753049 -2.18 0.029 -7.266918 -.3913844 + pct_for_born | 10.2863 4.447712 2.31 0.021 1.564242 19.00837 + pct_age_over65 | 13.41554 6.408223 2.09 0.036 .8488715 25.98221 + lninc | 6.072673 1.712135 3.55 0.000 2.715138 9.430209 + lnpden | .655915 .2912805 2.25 0.024 .0847075 1.227123 + _cons | -36.98501 17.13389 -2.16 0.031 -70.58494 -3.38508 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,244 1 0 1 1 + + +j = 2 k = 1 + + +rdbwselect_2014 pct_cosponsors_ten_5p MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11988 +----------------------+---------------------- NN matches = 3 + Number of obs | 6149 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 21.37807 36.22071 .5902168 +---------------------------------------------- +reg pct_cosponsors_ten_5p sponsor_female i.v2 MV1_female femaleXMV1_female if tag_bill==1 & sample==1 & abs(MV1_female)<=21.37807489569169, robust cluster(group_spo +> nsor) + +Linear regression Number of obs = 4,108 + F(13, 338) = 4.01 + Prob > F = 0.0000 + R-squared = 0.0310 + Root MSE = 24.494 + + (Std. Err. adjusted for 339 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust +pct_cosponsors~5p | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -1.740933 2.558623 -0.68 0.497 -6.773763 3.291896 + | + v2 | + 102 | 2.716638 3.237225 0.84 0.402 -3.651007 9.084283 + 103 | -6.533849 3.158326 -2.07 0.039 -12.7463 -.3213991 + 104 | -6.468954 3.274414 -1.98 0.049 -12.90975 -.0281591 + 105 | -6.07498 3.176377 -1.91 0.057 -12.32294 .1729777 + 106 | -9.012099 3.037363 -2.97 0.003 -14.98661 -3.037584 + 107 | 1.49317 3.185392 0.47 0.640 -4.77252 7.75886 + 108 | 2.309809 3.656881 0.63 0.528 -4.883303 9.502921 + 109 | -1.228672 4.005237 -0.31 0.759 -9.107002 6.649658 + 110 | .6052277 3.589693 0.17 0.866 -6.455724 7.666179 + 111 | -1.225361 3.728999 -0.33 0.743 -8.56033 6.109607 + | + MV1_female | .047528 .136393 0.35 0.728 -.2207581 .315814 +femaleXMV1_female | .319369 .2204159 1.45 0.148 -.1141906 .7529286 + _cons | 29.38874 3.192543 9.21 0.000 23.10898 35.66849 +----------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 339 1 0 1 1 + + +j = 2 k = 2 + + +rdbwselect_2014 pct_cosponsors_ten_5p MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6186 +----------------------+---------------------- NN matches = 3 + Number of obs | 2192 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 19.17042 42.99568 .4458686 +---------------------------------------------- +reg pct_cosponsors_ten_5p sponsor_female i.v2 MV1_female femaleXMV1_female if sponsor_party==100 & tag_bill==1 & sample==1 & abs(MV1_female)<=19.17042100963576, rob +> ust cluster(group_sponsor) + +Linear regression Number of obs = 1,562 + F(13, 128) = 2.54 + Prob > F = 0.0038 + R-squared = 0.0372 + Root MSE = 24.792 + + (Std. Err. adjusted for 129 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust +pct_cosponsors~5p | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -3.452434 3.672102 -0.94 0.349 -10.71832 3.813447 + | + v2 | + 102 | 4.536061 4.384574 1.03 0.303 -4.139568 13.21169 + 103 | -4.995372 4.015491 -1.24 0.216 -12.94071 2.949963 + 104 | -2.962496 5.29225 -0.56 0.577 -13.43412 7.509126 + 105 | 2.333234 4.648705 0.50 0.617 -6.865024 11.53149 + 106 | -8.146613 4.658757 -1.75 0.083 -17.36476 1.071534 + 107 | 4.450556 4.452848 1.00 0.319 -4.360165 13.26128 + 108 | 4.604107 6.363633 0.72 0.471 -7.987428 17.19564 + 109 | 1.445297 9.627099 0.15 0.881 -17.60356 20.49416 + 110 | 5.184878 5.170533 1.00 0.318 -5.045904 15.41566 + 111 | -4.637705 4.719992 -0.98 0.328 -13.97702 4.701606 + | + MV1_female | .4822206 .2420829 1.99 0.049 .0032182 .9612229 +femaleXMV1_female | -.3461296 .3389056 -1.02 0.309 -1.016712 .324453 + _cons | 31.94742 4.702006 6.79 0.000 22.64369 41.25114 +----------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 129 1 0 1 1 + + +j = 2 k = 3 + + +rdbwselect_2014 pct_cosponsors_ten_5p MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5802 +----------------------+---------------------- NN matches = 3 + Number of obs | 3957 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 11.48228 19.59772 .5858987 +---------------------------------------------- +reg pct_cosponsors_ten_5p sponsor_female i.v2 MV1_female femaleXMV1_female if sponsor_party==200 & tag_bill==1 & sample==1 & abs(MV1_female)<=11.48227662696866, rob +> ust cluster(group_sponsor) + +Linear regression Number of obs = 1,123 + F(13, 92) = 8.58 + Prob > F = 0.0000 + R-squared = 0.0703 + Root MSE = 23.436 + + (Std. Err. adjusted for 93 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust +pct_cosponsors~5p | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | 2.239499 4.820993 0.46 0.643 -7.33541 11.81441 + | + v2 | + 102 | -9.506447 3.655985 -2.60 0.011 -16.76755 -2.245344 + 103 | -20.23995 3.755478 -5.39 0.000 -27.69866 -12.78125 + 104 | -18.04144 4.213977 -4.28 0.000 -26.41077 -9.672122 + 105 | -21.95351 2.664718 -8.24 0.000 -27.24587 -16.66115 + 106 | -14.68561 3.368519 -4.36 0.000 -21.37578 -7.995436 + 107 | -5.517947 3.064519 -1.80 0.075 -11.60435 .5684517 + 108 | 3.763254 5.669638 0.66 0.509 -7.497137 15.02365 + 109 | -10.88719 3.430494 -3.17 0.002 -17.70045 -4.073932 + 110 | -11.64413 4.192722 -2.78 0.007 -19.97124 -3.317023 + 111 | -13.99085 3.418372 -4.09 0.000 -20.78004 -7.201672 + | + MV1_female | .0980878 .3654683 0.27 0.789 -.6277637 .8239394 +femaleXMV1_female | -.625458 .6727038 -0.93 0.355 -1.961506 .7105897 + _cons | 39.16317 2.77148 14.13 0.000 33.65878 44.66757 +----------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 93 1 0 1 1 + + +j = 3 k = 1 + + +rdbwselect_2014 pct_cosponsors_ten_5p MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11988 +----------------------+---------------------- NN matches = 3 + Number of obs | 6149 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 21.37807 36.22071 .5902168 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(50,602 missing values generated) +(56,627 missing values generated) +(6,025 real changes made) +reg pct_cosponsors_ten_5p sponsor_female i.v2 MV1_female femaleXMV1_female i.minor house_* [aw=wt] if tag_bill==1 & sample==1 & abs(MV1_female)<=21.37807489569169, +> robust cluster(group_sponsor) +(sum of wgt is 8,296.01296389103) + +Linear regression Number of obs = 4,108 + F(245, 338) = . + Prob > F = . + R-squared = 0.1776 + Root MSE = 23.205 + + (Std. Err. adjusted for 339 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + pct_cosponsors_ten_5p | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -3.208551 2.328802 -1.38 0.169 -7.789321 1.372219 + | + v2 | + 102 | 6.206241 3.37462 1.84 0.067 -.4316602 12.84414 + 103 | -5.116871 3.301676 -1.55 0.122 -11.61129 1.37755 + 104 | -6.317929 3.586136 -1.76 0.079 -13.37189 .7360266 + 105 | -5.11193 3.18287 -1.61 0.109 -11.37266 1.148799 + 106 | -7.743962 3.15511 -2.45 0.015 -13.95009 -1.537837 + 107 | 3.624436 3.488667 1.04 0.300 -3.237798 10.48667 + 108 | 2.478268 4.298767 0.58 0.565 -5.977438 10.93397 + 109 | 2.722969 3.538113 0.77 0.442 -4.236526 9.682464 + 110 | .1464675 3.374278 0.04 0.965 -6.490762 6.783697 + 111 | -.8472607 3.614097 -0.23 0.815 -7.956216 6.261694 + | + MV1_female | .1076176 .127919 0.84 0.401 -.1440001 .3592353 + femaleXMV1_female | .1807906 .2040355 0.89 0.376 -.2205487 .58213 + | + minor | + 101 | 4.069024 10.92006 0.37 0.710 -17.4108 25.54885 + 103 | .0293825 10.44396 0.00 0.998 -20.51396 20.57272 + 104 | -8.497701 16.34028 -0.52 0.603 -40.63915 23.64375 + 105 | -19.87337 11.37153 -1.75 0.081 -42.24125 2.49451 + 107 | -12.87272 10.62271 -1.21 0.226 -33.76768 8.022232 + 108 | -16.18825 16.80256 -0.96 0.336 -49.23901 16.86251 + 200 | -8.874692 12.07642 -0.73 0.463 -32.6291 14.87971 + 201 | 7.737841 11.27124 0.69 0.493 -14.43277 29.90845 + 202 | -16.04591 19.59451 -0.82 0.413 -54.58845 22.49663 + 204 | -14.86728 16.08466 -0.92 0.356 -46.50592 16.77137 + 205 | -3.495044 13.47773 -0.26 0.796 -30.00583 23.01575 + 206 | .3002594 16.5009 0.02 0.985 -32.15713 32.75764 + 207 | -5.195563 11.64696 -0.45 0.656 -28.10523 17.7141 + 208 | -7.909137 11.75091 -0.67 0.501 -31.02326 15.20499 + 209 | -44.09255 10.65351 -4.14 0.000 -65.04808 -23.13702 + 299 | -13.02812 11.39073 -1.14 0.254 -35.43377 9.377534 + 300 | -7.952167 12.4299 -0.64 0.523 -32.40188 16.49754 + 301 | -2.924033 11.20742 -0.26 0.794 -24.9691 19.12104 + 302 | -8.434881 11.15318 -0.76 0.450 -30.37326 13.5035 + 321 | -2.839145 11.88242 -0.24 0.811 -26.21196 20.53367 + 322 | -10.62947 11.84108 -0.90 0.370 -33.92096 12.66202 + 323 | -15.8007 13.10872 -1.21 0.229 -41.58565 9.984254 + 324 | -2.804206 17.50987 -0.16 0.873 -37.24626 31.63784 + 325 | 1.689261 11.37665 0.15 0.882 -20.6887 24.06722 + 331 | -2.930166 12.49476 -0.23 0.815 -27.50746 21.64712 + 332 | -5.433549 11.69234 -0.46 0.642 -28.43247 17.56537 + 333 | 12.63551 12.10071 1.04 0.297 -11.16669 36.4377 + 334 | -.2604361 11.90068 -0.02 0.983 -23.66917 23.1483 + 335 | -18.64261 12.82458 -1.45 0.147 -43.86865 6.583425 + 336 | -2.45577 11.45982 -0.21 0.830 -24.99732 20.08578 + 341 | .3043563 13.85275 0.02 0.982 -26.9441 27.55281 + 342 | -5.807677 14.49303 -0.40 0.689 -34.31557 22.70022 + 343 | 6.752853 12.18727 0.55 0.580 -17.21959 30.72529 + 344 | -18.7566 11.03543 -1.70 0.090 -40.46338 2.950172 + 398 | -2.173279 12.33987 -0.18 0.860 -26.44589 22.09933 + 399 | -10.43949 14.99936 -0.70 0.487 -39.94334 19.06436 + 400 | -14.48249 11.61748 -1.25 0.213 -37.33415 8.369181 + 401 | -20.96537 12.05253 -1.74 0.083 -44.67278 2.742045 + 402 | -27.39169 11.49988 -2.38 0.018 -50.01204 -4.77135 + 403 | -17.65893 13.34349 -1.32 0.187 -43.90567 8.587816 + 404 | 7.864852 15.50369 0.51 0.612 -22.63103 38.36073 + 405 | -20.0833 13.101 -1.53 0.126 -45.85306 5.686459 + 498 | -31.38741 10.76934 -2.91 0.004 -52.57078 -10.20405 + 499 | -27.40805 17.38616 -1.58 0.116 -61.60675 6.790654 + 500 | -9.281757 25.69901 -0.36 0.718 -59.83189 41.26838 + 501 | -5.207022 15.2229 -0.34 0.733 -35.15058 24.73653 + 502 | -11.79461 11.90675 -0.99 0.323 -35.21527 11.62604 + 503 | -9.492765 10.9445 -0.87 0.386 -31.02068 12.03515 + 504 | 3.869308 11.20976 0.35 0.730 -18.18037 25.91898 + 505 | -15.16228 13.32619 -1.14 0.256 -41.375 11.05043 + 506 | -15.79167 13.58582 -1.16 0.246 -42.51508 10.93173 + 508 | -10.99598 11.77466 -0.93 0.351 -34.15683 12.16487 + 530 | -5.259828 10.83205 -0.49 0.628 -26.56655 16.04689 + 599 | 8.129413 14.58917 0.56 0.578 -20.56759 36.82642 + 600 | -10.50891 12.02163 -0.87 0.383 -34.15554 13.13773 + 601 | -10.65333 10.98847 -0.97 0.333 -32.26773 10.96107 + 602 | -8.118741 10.96835 -0.74 0.460 -29.69356 13.45608 + 603 | -12.50107 12.6835 -0.99 0.325 -37.44961 12.44746 + 604 | -27.89768 13.29286 -2.10 0.037 -54.04483 -1.750522 + 606 | -22.24727 12.58643 -1.77 0.078 -47.00487 2.510334 + 607 | -16.14343 11.03865 -1.46 0.145 -37.85653 5.569683 + 609 | -22.95281 13.19184 -1.74 0.083 -48.90125 2.995625 + 698 | 23.81739 11.36992 2.09 0.037 1.452672 46.1821 + 699 | -7.100328 12.71673 -0.56 0.577 -32.11422 17.91357 + 700 | -20.80608 11.63599 -1.79 0.075 -43.69415 2.081993 + 701 | -21.97018 12.3232 -1.78 0.076 -46.21001 2.269649 + 703 | -4.552526 14.76987 -0.31 0.758 -33.60497 24.49992 + 704 | -17.04977 11.95652 -1.43 0.155 -40.56833 6.46878 + 705 | -5.469557 13.78983 -0.40 0.692 -32.59426 21.65514 + 707 | -7.596946 9.900145 -0.77 0.443 -27.0706 11.87671 + 708 | -48.71368 10.58628 -4.60 0.000 -69.53697 -27.89039 + 709 | -10.80597 11.11598 -0.97 0.332 -32.67118 11.05924 + 710 | -4.327134 10.79547 -0.40 0.689 -25.5619 16.90763 + 711 | -16.91882 12.95537 -1.31 0.192 -42.40212 8.564485 + 798 | -25.43415 12.73363 -2.00 0.047 -50.48129 -.3870059 + 799 | -.9210639 14.63677 -0.06 0.950 -29.71169 27.86956 + 800 | -20.47459 13.57199 -1.51 0.132 -47.17079 6.221604 + 801 | -5.370972 14.1187 -0.38 0.704 -33.14257 22.40062 + 802 | -23.15082 12.08531 -1.92 0.056 -46.92271 .6210661 + 803 | -13.09599 11.31247 -1.16 0.248 -35.3477 9.155717 + 805 | -24.38369 12.10929 -2.01 0.045 -48.20275 -.5646282 + 806 | -13.97979 12.00168 -1.16 0.245 -37.58717 9.627598 + 807 | -13.43374 12.22228 -1.10 0.272 -37.47505 10.60757 + 898 | -5.803335 15.39096 -0.38 0.706 -36.07746 24.47079 + 899 | -3.631643 12.66264 -0.29 0.774 -28.53914 21.27586 + 1000 | 9.877716 10.68459 0.92 0.356 -11.13895 30.89438 + 1001 | -4.130069 14.52045 -0.28 0.776 -32.69189 24.43175 + 1002 | -18.3569 12.18913 -1.51 0.133 -42.333 5.619198 + 1003 | -7.264182 11.24202 -0.65 0.519 -29.37732 14.84896 + 1005 | -11.52563 14.20859 -0.81 0.418 -39.47402 16.42276 + 1006 | -10.61422 11.67489 -0.91 0.364 -33.5788 12.35037 + 1007 | -15.18152 10.28739 -1.48 0.141 -35.41688 5.053848 + 1010 | -18.70087 16.86555 -1.11 0.268 -51.87554 14.47379 + 1098 | -31.64937 11.05134 -2.86 0.004 -53.38744 -9.911301 + 1099 | -44.59955 10.97995 -4.06 0.000 -66.19718 -23.00191 + 1200 | -43.64466 11.06194 -3.95 0.000 -65.40357 -21.88575 + 1201 | -16.08836 13.89148 -1.16 0.248 -43.413 11.23628 + 1202 | -21.03366 14.53919 -1.45 0.149 -49.63235 7.565035 + 1203 | -15.6102 12.52106 -1.25 0.213 -40.23921 9.018809 + 1204 | -8.193911 11.04453 -0.74 0.459 -29.91858 13.53075 + 1205 | -9.059894 12.02268 -0.75 0.452 -32.7086 14.58881 + 1206 | -17.44546 12.95619 -1.35 0.179 -42.93039 8.039459 + 1207 | -5.317561 11.89176 -0.45 0.655 -28.70873 18.07361 + 1208 | -6.099687 11.57849 -0.53 0.599 -28.87467 16.67529 + 1209 | -4.164116 10.86815 -0.38 0.702 -25.54185 17.21362 + 1210 | -11.67714 11.16389 -1.05 0.296 -33.63659 10.2823 + 1211 | -3.103829 12.8895 -0.24 0.810 -28.45756 22.2499 + 1299 | -12.07215 22.24352 -0.54 0.588 -55.82531 31.68101 + 1300 | -2.227983 12.77087 -0.17 0.862 -27.34838 22.89241 + 1301 | -12.29911 13.58479 -0.91 0.366 -39.02049 14.42228 + 1302 | 6.329085 12.90586 0.49 0.624 -19.05684 31.71501 + 1303 | -10.44524 12.54825 -0.83 0.406 -35.12775 14.23727 + 1304 | 4.895719 12.51566 0.39 0.696 -19.72267 29.51411 + 1305 | 9.892886 12.31747 0.80 0.422 -14.33568 34.12145 + 1399 | -39.03694 10.80843 -3.61 0.000 -60.2972 -17.77668 + 1400 | -9.05725 14.35366 -0.63 0.528 -37.291 19.1765 + 1401 | -20.19252 13.56482 -1.49 0.138 -46.87463 6.489589 + 1403 | 4.008427 11.47407 0.35 0.727 -18.56115 26.57801 + 1404 | 8.028599 12.93832 0.62 0.535 -17.42117 33.47837 + 1405 | -7.558021 13.8419 -0.55 0.585 -34.78514 19.6691 + 1406 | -.400021 15.13071 -0.03 0.979 -30.16223 29.36219 + 1407 | 2.88244 12.74836 0.23 0.821 -22.19368 27.95856 + 1408 | -12.12742 12.36983 -0.98 0.328 -36.45896 12.20412 + 1409 | -8.057347 14.56906 -0.55 0.581 -36.71479 20.6001 + 1410 | -17.6006 11.63326 -1.51 0.131 -40.48332 5.282114 + 1499 | -44.67629 10.86626 -4.11 0.000 -66.0503 -23.30229 + 1500 | -19.32566 12.75341 -1.52 0.131 -44.41171 5.760388 + 1501 | -6.349733 10.96394 -0.58 0.563 -27.91588 15.21642 + 1502 | -14.42779 11.87774 -1.21 0.225 -37.79138 8.93581 + 1504 | -18.08635 12.01657 -1.51 0.133 -41.72302 5.550331 + 1505 | 2.436117 13.31462 0.18 0.855 -23.75384 28.62608 + 1507 | -15.85357 13.54296 -1.17 0.243 -42.49267 10.78554 + 1520 | -13.5626 13.11193 -1.03 0.302 -39.35386 12.22867 + 1521 | -23.09425 10.86682 -2.13 0.034 -44.46936 -1.719133 + 1522 | -4.39533 11.67945 -0.38 0.707 -27.3689 18.57824 + 1523 | -5.529115 11.39181 -0.49 0.628 -27.93688 16.87865 + 1524 | -4.949157 10.75815 -0.46 0.646 -26.11052 16.21221 + 1525 | -5.492799 12.12874 -0.45 0.651 -29.35012 18.36453 + 1526 | -3.67744 13.19084 -0.28 0.781 -29.62391 22.26903 + 1599 | -17.5395 12.97134 -1.35 0.177 -43.05421 7.975218 + 1600 | -2.449898 11.99382 -0.20 0.838 -26.04183 21.14203 + 1603 | -21.91423 12.13338 -1.81 0.072 -45.78067 1.952207 + 1604 | -1.330018 14.91653 -0.09 0.929 -30.67093 28.0109 + 1605 | 2.045077 11.68152 0.18 0.861 -20.93256 25.02271 + 1606 | 5.099659 11.92872 0.43 0.669 -18.36423 28.56354 + 1608 | -9.645134 11.07193 -0.87 0.384 -31.4237 12.13343 + 1609 | -8.125516 11.17736 -0.73 0.468 -30.11146 13.86043 + 1610 | 2.725324 11.86572 0.23 0.818 -20.61464 26.06529 + 1611 | -24.83073 12.67612 -1.96 0.051 -49.76475 .1032878 + 1612 | -3.983062 11.40915 -0.35 0.727 -26.42494 18.45882 + 1614 | -47.44063 11.16223 -4.25 0.000 -69.39681 -25.48444 + 1615 | -16.29291 12.12095 -1.34 0.180 -40.13489 7.549083 + 1616 | -7.659558 10.52527 -0.73 0.467 -28.36285 13.04373 + 1617 | 4.698748 16.04073 0.29 0.770 -26.85348 36.25098 + 1619 | 1.81685 10.08713 0.18 0.857 -18.0246 21.6583 + 1620 | -23.38322 13.78479 -1.70 0.091 -50.49801 3.73157 + 1698 | -20.03289 16.60157 -1.21 0.228 -52.68829 12.62252 + 1699 | -9.843497 13.18631 -0.75 0.456 -35.78106 16.09407 + 1700 | -22.29387 13.67038 -1.63 0.104 -49.18361 4.595871 + 1701 | -9.985193 13.06362 -0.76 0.445 -35.68144 15.71105 + 1704 | 7.050306 10.84166 0.65 0.516 -14.27533 28.37594 + 1706 | -5.309204 13.0555 -0.41 0.685 -30.98946 20.37105 + 1707 | -16.46216 12.27778 -1.34 0.181 -40.61265 7.688325 + 1708 | -14.96732 14.42922 -1.04 0.300 -43.34971 13.41507 + 1709 | .2360114 11.51455 0.02 0.984 -22.41319 22.88521 + 1798 | -4.469008 14.1503 -0.32 0.752 -32.30276 23.36474 + 1799 | -38.59044 10.89566 -3.54 0.000 -60.02229 -17.15859 + 1800 | -18.24542 14.10809 -1.29 0.197 -45.99613 9.505292 + 1802 | -6.846779 11.95079 -0.57 0.567 -30.35407 16.66052 + 1803 | -17.134 11.95437 -1.43 0.153 -40.64834 6.380333 + 1804 | -17.28524 15.59073 -1.11 0.268 -47.95232 13.38183 + 1806 | 4.57972 11.27122 0.41 0.685 -17.59086 26.7503 + 1807 | -33.85637 11.05188 -3.06 0.002 -55.59549 -12.11725 + 1808 | -40.53878 10.8892 -3.72 0.000 -61.95791 -19.11964 + 1900 | -4.611606 21.61681 -0.21 0.831 -47.13204 37.90882 + 1901 | -19.33837 12.11079 -1.60 0.111 -43.16038 4.483645 + 1902 | -8.914028 14.35069 -0.62 0.535 -37.14194 19.31388 + 1905 | 9.503405 10.31865 0.92 0.358 -10.79345 29.80026 + 1906 | -5.534744 12.68754 -0.44 0.663 -30.49122 19.42173 + 1907 | -.1482165 14.69525 -0.01 0.992 -29.05387 28.75744 + 1908 | -13.91597 21.87087 -0.64 0.525 -56.93612 29.10419 + 1909 | -14.26303 18.32447 -0.78 0.437 -50.3074 21.78135 + 1910 | -4.275269 10.56336 -0.40 0.686 -25.05347 16.50293 + 1911 | 23.07469 11.04276 2.09 0.037 1.3535 44.79588 + 1914 | -12.80886 13.13444 -0.98 0.330 -38.64439 13.02668 + 1915 | 21.05471 10.94398 1.92 0.055 -.4721906 42.58161 + 1919 | 2.461283 13.57263 0.18 0.856 -24.23618 29.15874 + 1920 | -.7942929 11.18844 -0.07 0.943 -22.80203 21.21345 + 1925 | 3.856594 11.6396 0.33 0.741 -19.03859 26.75178 + 1926 | -7.467784 12.03019 -0.62 0.535 -31.13126 16.19569 + 1927 | -13.8877 12.35128 -1.12 0.262 -38.18276 10.40736 + 1929 | -17.86439 12.874 -1.39 0.166 -43.18764 7.458861 + 1999 | -40.39328 10.6773 -3.78 0.000 -61.3956 -19.39096 + 2000 | -13.4984 11.67182 -1.16 0.248 -36.45696 9.460163 + 2001 | -22.02659 13.69147 -1.61 0.109 -48.9578 4.904632 + 2002 | -11.59633 11.41216 -1.02 0.310 -34.04414 10.85147 + 2003 | -1.073184 11.07169 -0.10 0.923 -22.85128 20.70492 + 2004 | -12.09394 10.97908 -1.10 0.271 -33.68987 9.501999 + 2005 | -9.996079 13.62294 -0.73 0.464 -36.79249 16.80034 + 2006 | -.2252662 11.71715 -0.02 0.985 -23.27298 22.82245 + 2007 | -23.85066 14.00216 -1.70 0.089 -51.39301 3.691692 + 2008 | -5.833176 10.74648 -0.54 0.588 -26.97159 15.30524 + 2009 | 6.75272 10.98691 0.61 0.539 -14.85862 28.36406 + 2011 | -17.60612 12.16577 -1.45 0.149 -41.53628 6.324045 + 2012 | -19.71389 11.25198 -1.75 0.081 -41.84662 2.418849 + 2013 | -8.358414 17.00562 -0.49 0.623 -41.80859 25.09176 + 2014 | -35.61253 14.00584 -2.54 0.011 -63.16212 -8.06293 + 2015 | -11.0681 12.35354 -0.90 0.371 -35.36761 13.23141 + 2030 | 3.241253 13.18473 0.25 0.806 -22.69321 29.17572 + 2099 | 21.9625 16.81965 1.31 0.193 -11.12188 55.04688 + 2100 | -13.11393 13.14868 -1.00 0.319 -38.97747 12.74962 + 2101 | -16.21902 10.76079 -1.51 0.133 -37.38557 4.947529 + 2102 | -15.59043 10.72326 -1.45 0.147 -36.68316 5.502288 + 2103 | -20.59847 10.74188 -1.92 0.056 -41.72783 .5308872 + 2104 | -16.69108 10.85922 -1.54 0.125 -38.05125 4.669083 + 2105 | -14.62186 12.06608 -1.21 0.226 -38.35593 9.112208 + 9999 | -31.77096 12.92359 -2.46 0.014 -57.19176 -6.35017 + | + house_administration | -1.614414 3.747304 -0.43 0.667 -8.985389 5.756561 + house_agriculture | 7.451084 3.007831 2.48 0.014 1.534659 13.36751 + house_appropriations | -7.300587 3.963831 -1.84 0.066 -15.09747 .4962964 + house_armedservices | -1.587348 1.981233 -0.80 0.424 -5.484448 2.309753 + house_budget | .4658883 5.277139 0.09 0.930 -9.914282 10.84606 + house_dc | 14.08018 13.60575 1.03 0.301 -12.68244 40.8428 + house_educlabor | .78631 1.714085 0.46 0.647 -2.585307 4.157927 + house_energycommerce | 2.165229 1.573518 1.38 0.170 -.9298926 5.26035 + house_foreignaffairs | 4.062738 3.769258 1.08 0.282 -3.351419 11.4769 + house_governmentop | -4.365668 4.052449 -1.08 0.282 -12.33686 3.605528 + house_intelligence | 27.78256 5.602133 4.96 0.000 16.76312 38.802 + house_interior | -2.100249 3.943783 -0.53 0.595 -9.857699 5.657201 + house_judiciary | -.1822067 1.666769 -0.11 0.913 -3.460754 3.096341 + house_mmf | 3.343569 4.405882 0.76 0.448 -5.322832 12.00997 + house_pocs | -5.935537 3.738277 -1.59 0.113 -13.28876 1.417682 + house_pwt | -5.205463 3.417705 -1.52 0.129 -11.92811 1.517187 + house_rules | 1.353335 3.129904 0.43 0.666 -4.803209 7.509879 + house_sst | 3.11428 8.485966 0.37 0.714 -13.57768 19.80624 + house_smallbusi | -.5196785 5.263389 -0.10 0.921 -10.8728 9.833445 + house_soc | 7.904091 20.04197 0.39 0.694 -31.5186 47.32678 + house_veterans | -.8610667 2.552068 -0.34 0.736 -5.881004 4.158871 + house_waysandmeans | -1.123287 1.291071 -0.87 0.385 -3.662833 1.416259 +house_naturalresources | -1.167564 3.779686 -0.31 0.758 -8.602234 6.267106 + house_bfs | .3343673 2.364602 0.14 0.888 -4.316823 4.985558 + house_eeo | -.1529635 3.547273 -0.04 0.966 -7.130476 6.824549 + house_govreform | 1.940034 2.682317 0.72 0.470 -3.336102 7.21617 + house_ir | -3.117726 2.862245 -1.09 0.277 -8.747784 2.512332 + house_natsecur | 5.4316 5.075331 1.07 0.285 -4.551613 15.41481 + house_oversight | -.2337628 3.819066 -0.06 0.951 -7.745894 7.278368 + house_resources | -3.036867 2.714544 -1.12 0.264 -8.376394 2.302661 + house_science | -5.134831 3.263949 -1.57 0.117 -11.55504 1.285381 + house_transp | -2.782953 2.211207 -1.26 0.209 -7.132414 1.566508 + house_homeland | 7.909392 3.223045 2.45 0.015 1.56964 14.24914 + _cons | 41.76992 10.81323 3.86 0.000 20.50022 63.03961 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 339 1 0 1 1 + + +j = 3 k = 2 + + +rdbwselect_2014 pct_cosponsors_ten_5p MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6186 +----------------------+---------------------- NN matches = 3 + Number of obs | 2192 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 19.17042 42.99568 .4458686 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(56,209 missing values generated) +(58,378 missing values generated) +(2,169 real changes made) +reg pct_cosponsors_ten_5p sponsor_female i.v2 MV1_female femaleXMV1_female i.minor house_* [aw=wt] if sponsor_party==100 & tag_bill==1 & sample==1 & abs(MV1_female) +> <=19.17042100963576, robust cluster(group_sponsor) +(sum of wgt is 3,137.55845463276) +note: house_dc omitted because of collinearity +note: house_soc omitted because of collinearity + +Linear regression Number of obs = 1,562 + F(127, 128) = . + Prob > F = . + R-squared = 0.2619 + Root MSE = 23.527 + + (Std. Err. adjusted for 129 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + pct_cosponsors_ten_5p | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -3.564566 3.710584 -0.96 0.339 -10.90659 3.77746 + | + v2 | + 102 | 7.828878 4.306893 1.82 0.071 -.6930468 16.3508 + 103 | .1322436 4.549765 0.03 0.977 -8.870244 9.134732 + 104 | -5.224706 5.781222 -0.90 0.368 -16.66384 6.214429 + 105 | 6.045407 4.54478 1.33 0.186 -2.947218 15.03803 + 106 | -8.463858 4.322739 -1.96 0.052 -17.01714 .0894192 + 107 | 7.246023 4.811681 1.51 0.135 -2.27471 16.76676 + 108 | 4.405211 5.98274 0.74 0.463 -7.432662 16.24308 + 109 | 8.457146 7.044676 1.20 0.232 -5.481949 22.39624 + 110 | 7.58096 4.713693 1.61 0.110 -1.745888 16.90781 + 111 | -1.428588 4.546763 -0.31 0.754 -10.42513 7.567959 + | + MV1_female | .2586044 .2371186 1.09 0.277 -.2105753 .7277841 + femaleXMV1_female | -.1825707 .3287942 -0.56 0.580 -.8331462 .4680049 + | + minor | + 104 | 36.63582 8.796734 4.16 0.000 19.22997 54.04166 + 105 | -36.02304 9.441201 -3.82 0.000 -54.70407 -17.34201 + 107 | -18.74594 4.368013 -4.29 0.000 -27.3888 -10.10308 + 108 | -7.21753 4.171822 -1.73 0.086 -15.47219 1.037132 + 200 | -36.39039 15.00317 -2.43 0.017 -66.07673 -6.704052 + 202 | -35.61411 8.859133 -4.02 0.000 -53.14342 -18.0848 + 205 | -7.205641 6.826756 -1.06 0.293 -20.71354 6.302261 + 206 | -45.97344 5.992842 -7.67 0.000 -57.8313 -34.11558 + 207 | -4.360912 12.37754 -0.35 0.725 -28.85199 20.13016 + 208 | -17.43846 9.664749 -1.80 0.074 -36.56181 1.6849 + 300 | -12.97205 9.706353 -1.34 0.184 -32.17772 6.23363 + 301 | -4.911462 9.682363 -0.51 0.613 -24.06967 14.24675 + 302 | -8.617305 6.452774 -1.34 0.184 -21.38522 4.150611 + 321 | .6460056 7.287545 0.09 0.930 -13.77365 15.06566 + 322 | -17.40025 6.747123 -2.58 0.011 -30.75059 -4.049914 + 323 | -9.191904 7.714756 -1.19 0.236 -24.45687 6.073058 + 324 | -8.289468 4.995606 -1.66 0.099 -18.17413 1.595192 + 325 | -5.923997 8.936926 -0.66 0.509 -23.60723 11.75924 + 331 | -.0740037 7.730394 -0.01 0.992 -15.36991 15.2219 + 332 | -11.0297 7.185048 -1.54 0.127 -25.24655 3.187144 + 333 | -2.16838 7.108897 -0.31 0.761 -16.23455 11.89779 + 334 | -.6316029 4.892381 -0.13 0.897 -10.31202 9.04881 + 335 | -17.72136 7.68619 -2.31 0.023 -32.9298 -2.512917 + 336 | -6.624834 8.146685 -0.81 0.418 -22.74444 9.494774 + 341 | -5.571335 6.485023 -0.86 0.392 -18.40306 7.26039 + 342 | -11.31061 12.39026 -0.91 0.363 -35.82686 13.20563 + 343 | 5.458535 8.868936 0.62 0.539 -12.09017 23.00724 + 344 | -23.69866 6.564941 -3.61 0.000 -36.68851 -10.7088 + 398 | -6.613195 7.585977 -0.87 0.385 -21.62335 8.396956 + 399 | -39.51183 9.136838 -4.32 0.000 -57.59062 -21.43304 + 400 | -23.32908 6.108302 -3.82 0.000 -35.4154 -11.24276 + 401 | -9.942806 12.06416 -0.82 0.411 -33.81381 13.9282 + 402 | -33.26349 7.699858 -4.32 0.000 -48.49897 -18.028 + 403 | -34.10498 10.2054 -3.34 0.001 -54.2981 -13.91185 + 404 | 17.94331 6.971671 2.57 0.011 4.148664 31.73795 + 405 | -27.93784 6.545151 -4.27 0.000 -40.88854 -14.98714 + 498 | -31.68005 6.900377 -4.59 0.000 -45.33363 -18.02648 + 499 | -69.89131 10.62103 -6.58 0.000 -90.90683 -48.87579 + 501 | 5.258815 7.290797 0.72 0.472 -9.167272 19.6849 + 502 | -11.94595 8.68488 -1.38 0.171 -29.13047 5.238567 + 503 | -13.29393 8.283396 -1.60 0.111 -29.68405 3.096184 + 504 | 1.17607 4.732828 0.25 0.804 -8.188639 10.54078 + 505 | -23.37886 13.62823 -1.72 0.089 -50.34463 3.586916 + 506 | -25.95715 14.59622 -1.78 0.078 -54.83825 2.923962 + 508 | -15.04677 6.023561 -2.50 0.014 -26.96541 -3.128122 + 530 | -21.08071 7.541165 -2.80 0.006 -36.00219 -6.159223 + 600 | -15.37954 5.998627 -2.56 0.012 -27.24885 -3.510236 + 601 | -18.2432 6.38194 -2.86 0.005 -30.87096 -5.615447 + 602 | -11.22417 6.258447 -1.79 0.075 -23.60757 1.159239 + 603 | -3.294364 9.674439 -0.34 0.734 -22.43689 15.84817 + 604 | -24.86489 12.25332 -2.03 0.045 -49.11018 -.6196062 + 606 | -30.79486 7.930577 -3.88 0.000 -46.48686 -15.10286 + 607 | -27.82161 7.899017 -3.52 0.001 -43.45116 -12.19205 + 698 | 8.317014 6.1522 1.35 0.179 -3.856164 20.49019 + 699 | -15.15304 7.80723 -1.94 0.054 -30.60098 .2948981 + 700 | -20.95762 9.100839 -2.30 0.023 -38.96518 -2.950053 + 701 | -3.557593 13.7817 -0.26 0.797 -30.82703 23.71185 + 703 | -15.35467 13.15512 -1.17 0.245 -41.38431 10.67498 + 704 | -24.88798 6.802286 -3.66 0.000 -38.34746 -11.42849 + 705 | -23.64134 12.20433 -1.94 0.055 -47.7897 .5070172 + 707 | -.8964845 6.496762 -0.14 0.890 -13.75144 11.95847 + 708 | -51.90552 3.334428 -15.57 0.000 -58.50326 -45.30779 + 709 | -7.813879 5.561749 -1.40 0.162 -18.81875 3.190991 + 710 | -2.942546 5.556016 -0.53 0.597 -13.93607 8.050981 + 711 | -5.597229 5.986643 -0.93 0.352 -17.44282 6.248368 + 798 | -32.15443 11.29173 -2.85 0.005 -54.49704 -9.811823 + 799 | 2.315333 10.33026 0.22 0.823 -18.12486 22.75552 + 800 | -35.19424 11.2331 -3.13 0.002 -57.42083 -12.96764 + 801 | -13.34329 10.18631 -1.31 0.193 -33.49864 6.812066 + 802 | -24.05974 12.0353 -2.00 0.048 -47.87362 -.2458472 + 803 | -18.04014 8.065674 -2.24 0.027 -33.99945 -2.080823 + 805 | 3.565749 6.389046 0.56 0.578 -9.076071 16.20757 + 806 | -20.39285 8.407109 -2.43 0.017 -37.02776 -3.757951 + 807 | -8.246796 11.0832 -0.74 0.458 -30.17679 13.6832 + 898 | -31.64734 11.24112 -2.82 0.006 -53.88981 -9.40486 + 899 | -32.42609 9.560683 -3.39 0.001 -51.34353 -13.50864 + 1000 | 8.084734 6.119677 1.32 0.189 -4.024092 20.19356 + 1001 | -6.016047 14.43514 -0.42 0.678 -34.57843 22.54634 + 1002 | -17.70643 10.41853 -1.70 0.092 -38.32127 2.908413 + 1003 | -2.423235 10.94279 -0.22 0.825 -24.07542 19.22895 + 1005 | -7.624297 6.716951 -1.14 0.258 -20.91493 5.666337 + 1006 | -23.46389 5.638376 -4.16 0.000 -34.62038 -12.3074 + 1007 | -9.798886 13.17104 -0.74 0.458 -35.86003 16.26226 + 1200 | -51.94727 6.396399 -8.12 0.000 -64.60364 -39.2909 + 1201 | -32.25553 10.96936 -2.94 0.004 -53.96028 -10.55078 + 1202 | -45.78001 4.63303 -9.88 0.000 -54.94725 -36.61277 + 1203 | -18.03659 20.99038 -0.86 0.392 -59.56965 23.49647 + 1204 | -12.11657 5.800781 -2.09 0.039 -23.5944 -.6387287 + 1205 | -14.53469 10.02178 -1.45 0.149 -34.36448 5.295106 + 1206 | -35.85558 13.26879 -2.70 0.008 -62.11015 -9.601015 + 1207 | -12.09966 7.574989 -1.60 0.113 -27.08807 2.88875 + 1208 | -16.45084 6.778739 -2.43 0.017 -29.86373 -3.037946 + 1209 | -22.74828 7.716708 -2.95 0.004 -38.01711 -7.479458 + 1210 | -27.70031 18.00017 -1.54 0.126 -63.31673 7.916103 + 1211 | 28.1659 5.045815 5.58 0.000 18.18189 38.1499 + 1299 | 11.87157 5.047625 2.35 0.020 1.883977 21.85915 + 1300 | -6.928061 14.56767 -0.48 0.635 -35.75269 21.89657 + 1301 | -27.40623 7.011963 -3.91 0.000 -41.2806 -13.53186 + 1302 | 4.162936 4.368934 0.95 0.342 -4.481746 12.80762 + 1303 | -15.15504 7.631568 -1.99 0.049 -30.2554 -.0546833 + 1304 | -11.28532 9.057447 -1.25 0.215 -29.20702 6.636389 + 1305 | -9.086089 6.225775 -1.46 0.147 -21.40485 3.232671 + 1399 | -37.30741 4.510843 -8.27 0.000 -46.23288 -28.38194 + 1400 | -10.47336 23.47848 -0.45 0.656 -56.92955 35.98282 + 1401 | -19.28165 12.34202 -1.56 0.121 -43.70244 5.139139 + 1403 | 3.591367 7.96981 0.45 0.653 -12.17826 19.361 + 1404 | 2.630325 7.148118 0.37 0.714 -11.51345 16.7741 + 1405 | -36.8762 8.069876 -4.57 0.000 -52.84383 -20.90857 + 1406 | -3.098135 16.09897 -0.19 0.848 -34.95271 28.75644 + 1407 | -10.23304 9.260894 -1.10 0.271 -28.55731 8.091217 + 1408 | -23.10881 7.670096 -3.01 0.003 -38.28541 -7.932217 + 1409 | -2.351048 7.973794 -0.29 0.769 -18.12856 13.42647 + 1410 | -23.57468 11.06099 -2.13 0.035 -45.46074 -1.68862 + 1500 | -45.83533 3.313706 -13.83 0.000 -52.39206 -39.27859 + 1501 | -14.46187 9.749865 -1.48 0.140 -33.75364 4.829906 + 1502 | -22.59931 10.69663 -2.11 0.037 -43.76442 -1.434194 + 1504 | -25.83486 13.28919 -1.94 0.054 -52.12978 .4600718 + 1505 | -5.768926 6.279772 -0.92 0.360 -18.19453 6.656677 + 1507 | -35.22747 6.530737 -5.39 0.000 -48.14965 -22.30529 + 1520 | -33.98854 11.9622 -2.84 0.005 -57.65779 -10.3193 + 1521 | -31.49787 8.078627 -3.90 0.000 -47.48281 -15.51293 + 1522 | -14.58066 6.006091 -2.43 0.017 -26.46473 -2.696579 + 1523 | -24.13679 10.37335 -2.33 0.022 -44.66224 -3.611342 + 1525 | -18.67311 8.601996 -2.17 0.032 -35.69363 -1.652595 + 1526 | -19.56892 12.84298 -1.52 0.130 -44.98095 5.843099 + 1599 | -28.04733 15.21002 -1.84 0.067 -58.14296 2.048302 + 1600 | -2.38235 9.066776 -0.26 0.793 -20.32252 15.55782 + 1603 | -27.01306 14.49834 -1.86 0.065 -55.70051 1.674384 + 1604 | -1.748229 21.63674 -0.08 0.936 -44.56023 41.06377 + 1605 | -14.61254 8.111499 -1.80 0.074 -30.66253 1.437443 + 1606 | -.5781152 7.055609 -0.08 0.935 -14.53884 13.38261 + 1608 | -17.41955 6.796547 -2.56 0.012 -30.86768 -3.971419 + 1609 | -9.466493 7.019273 -1.35 0.180 -23.35532 4.422337 + 1610 | 2.179672 6.802471 0.32 0.749 -11.28018 15.63952 + 1611 | -26.84497 9.197847 -2.92 0.004 -45.04448 -8.64546 + 1612 | -13.2831 9.269069 -1.43 0.154 -31.62354 5.057337 + 1615 | -16.26628 10.42521 -1.56 0.121 -36.89435 4.361783 + 1616 | 3.493532 15.4626 0.23 0.822 -27.10187 34.08894 + 1619 | 12.4062 5.704674 2.17 0.031 1.118523 23.69387 + 1620 | -28.82232 16.44709 -1.75 0.082 -61.36569 3.721053 + 1698 | -13.95809 16.85741 -0.83 0.409 -47.31336 19.39717 + 1699 | -14.75162 9.339544 -1.58 0.117 -33.2315 3.728261 + 1701 | -16.6722 8.493511 -1.96 0.052 -33.47806 .133663 + 1706 | -24.02154 10.38599 -2.31 0.022 -44.572 -3.471078 + 1707 | -32.29799 11.93887 -2.71 0.008 -55.92108 -8.674898 + 1708 | 6.626977 6.389046 1.04 0.302 -6.014843 19.2688 + 1709 | -12.13122 7.808124 -1.55 0.123 -27.58092 3.31849 + 1798 | .2018031 7.483694 0.03 0.979 -14.60596 15.00957 + 1800 | -30.03945 10.44843 -2.88 0.005 -50.71346 -9.365445 + 1802 | -7.618975 6.916492 -1.10 0.273 -21.30444 6.066486 + 1803 | -30.72895 7.585841 -4.05 0.000 -45.73883 -15.71907 + 1804 | -38.48407 3.960216 -9.72 0.000 -46.32003 -30.6481 + 1806 | -8.476875 7.122047 -1.19 0.236 -22.56906 5.615312 + 1807 | -36.20963 4.88587 -7.41 0.000 -45.87716 -26.5421 + 1900 | -16.00976 7.975777 -2.01 0.047 -31.79119 -.2283174 + 1901 | -29.09212 24.06013 -1.21 0.229 -76.6992 18.51497 + 1902 | -11.45307 11.59243 -0.99 0.325 -34.39066 11.48453 + 1905 | 9.560961 6.302041 1.52 0.132 -2.908704 22.03063 + 1906 | -54.71436 5.097144 -10.73 0.000 -64.79993 -44.62879 + 1908 | -13.97312 14.98875 -0.93 0.353 -43.63092 15.68468 + 1909 | 15.8261 6.415763 2.47 0.015 3.131422 28.52079 + 1920 | -10.93623 12.3149 -0.89 0.376 -35.30336 13.4309 + 1925 | -15.58348 5.951398 -2.62 0.010 -27.35934 -3.80762 + 1926 | 1.197707 9.031043 0.13 0.895 -16.67175 19.06717 + 1927 | -29.9705 10.03001 -2.99 0.003 -49.81659 -10.1244 + 1929 | -15.75435 5.663089 -2.78 0.006 -26.95974 -4.548966 + 1999 | -45.51328 6.436918 -7.07 0.000 -58.24982 -32.77673 + 2000 | -2.84076 12.98904 -0.22 0.827 -28.5418 22.86028 + 2001 | -33.22591 5.535113 -6.00 0.000 -44.17808 -22.27374 + 2002 | -10.63582 9.772474 -1.09 0.278 -29.97233 8.700686 + 2003 | -2.533167 12.27881 -0.21 0.837 -26.82889 21.76255 + 2004 | -12.63192 8.589798 -1.47 0.144 -29.6283 4.364461 + 2005 | -19.03066 18.01408 -1.06 0.293 -54.6746 16.61328 + 2006 | -23.10907 10.24139 -2.26 0.026 -43.37341 -2.844736 + 2007 | -28.38605 14.25602 -1.99 0.049 -56.59401 -.1780809 + 2008 | -6.574881 6.86012 -0.96 0.340 -20.1488 6.999039 + 2011 | -33.11444 8.081788 -4.10 0.000 -49.10564 -17.12325 + 2012 | -28.74026 8.534858 -3.37 0.001 -45.62794 -11.85259 + 2013 | 41.83254 5.959877 7.02 0.000 30.03991 53.62518 + 2014 | -32.71114 13.09832 -2.50 0.014 -58.62841 -6.79387 + 2030 | 17.82582 17.88641 1.00 0.321 -17.56549 53.21713 + 2099 | 54.03033 6.311739 8.56 0.000 41.54148 66.51919 + 2100 | -10.41221 8.905627 -1.17 0.245 -28.03351 7.209098 + 2101 | -19.41587 6.749995 -2.88 0.005 -32.77189 -6.059855 + 2102 | -13.6703 12.37172 -1.10 0.271 -38.14987 10.80926 + 2103 | -21.46608 6.086122 -3.53 0.001 -33.50851 -9.423648 + 2104 | -17.48283 9.959859 -1.76 0.082 -37.19011 2.224453 + 9999 | -38.34881 4.360372 -8.79 0.000 -46.97655 -29.72107 + | + house_administration | -3.55114 7.658316 -0.46 0.644 -18.70443 11.60215 + house_agriculture | 8.476113 4.250143 1.99 0.048 .0664783 16.88575 + house_appropriations | 2.811386 9.130717 0.31 0.759 -15.2553 20.87807 + house_armedservices | -3.670518 3.423517 -1.07 0.286 -10.44453 3.103496 + house_budget | -2.619357 7.230331 -0.36 0.718 -16.9258 11.68709 + house_dc | 0 (omitted) + house_educlabor | 4.661715 4.005252 1.16 0.247 -3.26336 12.58679 + house_energycommerce | 3.698131 2.829783 1.31 0.194 -1.901077 9.29734 + house_foreignaffairs | 1.963193 6.137906 0.32 0.750 -10.1817 14.10809 + house_governmentop | -3.991711 8.658039 -0.46 0.646 -21.12312 13.1397 + house_intelligence | 19.3554 11.82094 1.64 0.104 -4.034355 42.74515 + house_interior | -4.194303 5.174403 -0.81 0.419 -14.43274 6.044137 + house_judiciary | 6.562537 3.951066 1.66 0.099 -1.255322 14.3804 + house_mmf | 1.279511 4.278956 0.30 0.765 -7.187134 9.746156 + house_pocs | -16.05115 5.307263 -3.02 0.003 -26.55248 -5.549825 + house_pwt | -5.239402 5.634831 -0.93 0.354 -16.38888 5.910074 + house_rules | 4.32823 5.961404 0.73 0.469 -7.467426 16.12389 + house_sst | 20.61852 9.318462 2.21 0.029 2.180354 39.05669 + house_smallbusi | 3.518004 6.914923 0.51 0.612 -10.16435 17.20036 + house_soc | 0 (omitted) + house_veterans | -2.192432 3.875161 -0.57 0.573 -9.8601 5.475235 + house_waysandmeans | -2.752846 2.200163 -1.25 0.213 -7.106246 1.600553 +house_naturalresources | -1.121228 7.696141 -0.15 0.884 -16.34936 14.1069 + house_bfs | 5.830652 5.532649 1.05 0.294 -5.116639 16.77794 + house_eeo | 8.646037 5.391689 1.60 0.111 -2.022341 19.31442 + house_govreform | 1.792805 4.770407 0.38 0.708 -7.646261 11.23187 + house_ir | -1.016361 4.822533 -0.21 0.833 -10.55857 8.525844 + house_natsecur | 6.790855 8.595779 0.79 0.431 -10.21736 23.79907 + house_oversight | -1.234587 6.324652 -0.20 0.846 -13.74899 11.27982 + house_resources | -5.196289 4.560681 -1.14 0.257 -14.22038 3.827797 + house_science | 1.385772 5.745538 0.24 0.810 -9.982757 12.7543 + house_transp | 2.156759 3.866608 0.56 0.578 -5.493986 9.807504 + house_homeland | 4.516712 11.8913 0.38 0.705 -19.01225 28.04568 + _cons | 43.80929 5.290712 8.28 0.000 33.34071 54.27786 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 129 1 0 1 1 + + +j = 3 k = 3 + + +rdbwselect_2014 pct_cosponsors_ten_5p MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5802 +----------------------+---------------------- NN matches = 3 + Number of obs | 3957 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 11.48228 19.59772 .5858987 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(57,073 missing values generated) +(60,750 missing values generated) +(3,677 real changes made) +reg pct_cosponsors_ten_5p sponsor_female i.v2 MV1_female femaleXMV1_female i.minor house_* [aw=wt] if sponsor_party==200 & tag_bill==1 & sample==1 & abs(MV1_female) +> <=11.48227662696866, robust cluster(group_sponsor) +(sum of wgt is 1,944.65022611618) +note: house_dc omitted because of collinearity + +Linear regression Number of obs = 1,096 + F(89, 90) = . + Prob > F = . + R-squared = 0.3998 + Root MSE = 20.452 + + (Std. Err. adjusted for 91 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + pct_cosponsors_ten_5p | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 2.072385 3.241222 0.64 0.524 -4.366868 8.511637 + | + v2 | + 103 | -14.76966 3.875666 -3.81 0.000 -22.46935 -7.069974 + 104 | -14.7485 6.796076 -2.17 0.033 -28.25009 -1.246911 + 105 | -15.67404 4.295064 -3.65 0.000 -24.20694 -7.141148 + 106 | -6.670057 4.9805 -1.34 0.184 -16.56469 3.224576 + 107 | 1.561698 4.57846 0.34 0.734 -7.534211 10.65761 + 108 | 8.937422 7.104713 1.26 0.212 -5.177331 23.05217 + 109 | -3.730905 5.163738 -0.72 0.472 -13.98957 6.527762 + 110 | -3.006493 4.520162 -0.67 0.508 -11.98658 5.973598 + 111 | -11.4429 4.726154 -2.42 0.017 -20.83223 -2.053572 + | + MV1_female | -.3289007 .3790778 -0.87 0.388 -1.082005 .4242035 + femaleXMV1_female | .1146236 .5196169 0.22 0.826 -.917686 1.146933 + | + minor | + 101 | -8.825819 11.53882 -0.76 0.446 -31.7497 14.09807 + 104 | -20.59675 12.22095 -1.69 0.095 -44.87579 3.682302 + 105 | -26.25636 16.25859 -1.61 0.110 -58.55688 6.044166 + 107 | -31.35877 10.65999 -2.94 0.004 -52.53669 -10.18085 + 200 | -25.83749 12.28415 -2.10 0.038 -50.2421 -1.432886 + 202 | 5.681288 11.37528 0.50 0.619 -16.91769 28.28026 + 204 | -33.90967 11.6944 -2.90 0.005 -57.14264 -10.6767 + 206 | -1.325137 12.88344 -0.10 0.918 -26.92033 24.27006 + 207 | -39.4196 10.77796 -3.66 0.000 -60.8319 -18.0073 + 208 | -18.84154 10.86629 -1.73 0.086 -40.42931 2.746241 + 209 | -57.38368 11.52608 -4.98 0.000 -80.28225 -34.48512 + 300 | -30.51396 12.98705 -2.35 0.021 -56.31499 -4.712922 + 301 | -19.91048 11.72583 -1.70 0.093 -43.20589 3.384929 + 302 | -22.4704 10.56797 -2.13 0.036 -43.46551 -1.475282 + 321 | -12.02851 15.97247 -0.75 0.453 -43.76061 19.70359 + 322 | -26.43344 11.62524 -2.27 0.025 -49.52902 -3.337872 + 323 | -32.42624 13.85941 -2.34 0.022 -59.96037 -4.892109 + 324 | -19.29723 16.42237 -1.18 0.243 -51.92313 13.32867 + 325 | -11.41713 12.41677 -0.92 0.360 -36.08521 13.25095 + 331 | -11.96985 9.238977 -1.30 0.198 -30.32469 6.384996 + 332 | -17.71367 11.61999 -1.52 0.131 -40.79881 5.371462 + 333 | 12.86243 12.67428 1.01 0.313 -12.31724 38.0421 + 334 | -15.94205 12.9575 -1.23 0.222 -41.68438 9.800282 + 335 | -53.76637 11.23801 -4.78 0.000 -76.09264 -31.44009 + 336 | -27.2623 12.81201 -2.13 0.036 -52.7156 -1.809009 + 341 | -36.50194 14.89024 -2.45 0.016 -66.084 -6.919884 + 343 | -2.391661 11.81529 -0.20 0.840 -25.8648 21.08147 + 398 | -13.13343 14.67284 -0.90 0.373 -42.28359 16.01673 + 399 | -15.5071 14.59073 -1.06 0.291 -44.49414 13.47994 + 400 | -27.03879 12.53821 -2.16 0.034 -51.94813 -2.129459 + 401 | -44.93099 13.16357 -3.41 0.001 -71.08271 -18.77926 + 402 | -49.51825 13.62531 -3.63 0.000 -76.5873 -22.4492 + 403 | -27.23646 11.86731 -2.30 0.024 -50.81294 -3.659991 + 499 | -32.18562 17.97195 -1.79 0.077 -67.89003 3.518786 + 500 | -14.23484 10.79945 -1.32 0.191 -35.68983 7.220159 + 503 | -29.8113 11.71777 -2.54 0.013 -53.09068 -6.53191 + 505 | -46.91409 13.47688 -3.48 0.001 -73.68826 -20.13991 + 508 | -26.79675 10.49422 -2.55 0.012 -47.64535 -5.948147 + 530 | -24.39169 10.82557 -2.25 0.027 -45.89857 -2.884809 + 599 | -3.989155 10.26976 -0.39 0.699 -24.39182 16.41351 + 600 | -54.23324 10.60457 -5.11 0.000 -75.30108 -33.1654 + 601 | -24.44351 12.86433 -1.90 0.061 -50.00075 1.113729 + 602 | -30.57418 12.32868 -2.48 0.015 -55.06725 -6.081108 + 603 | -29.61093 11.22642 -2.64 0.010 -51.91416 -7.307696 + 604 | -45.94047 10.57894 -4.34 0.000 -66.95738 -24.92356 + 606 | -28.44576 14.78899 -1.92 0.058 -57.82668 .9351605 + 607 | -46.77371 11.15871 -4.19 0.000 -68.94244 -24.60499 + 609 | -34.51893 14.63714 -2.36 0.021 -63.59816 -5.439702 + 699 | -55.52295 10.78201 -5.15 0.000 -76.9433 -34.10261 + 700 | -51.53872 14.73813 -3.50 0.001 -80.81858 -22.25886 + 701 | -42.23019 13.48785 -3.13 0.002 -69.02615 -15.43423 + 703 | -6.366765 11.41945 -0.56 0.579 -29.0535 16.31997 + 704 | -37.94648 13.66396 -2.78 0.007 -65.09232 -10.80065 + 705 | -15.71718 13.84553 -1.14 0.259 -43.22374 11.78937 + 707 | -57.90155 11.40617 -5.08 0.000 -80.56189 -35.2412 + 709 | -28.12978 11.74732 -2.39 0.019 -51.46787 -4.791685 + 710 | -19.43515 13.09128 -1.48 0.141 -45.44326 6.572951 + 711 | -42.61027 11.06719 -3.85 0.000 -64.59717 -20.62337 + 798 | -57.3633 13.28329 -4.32 0.000 -83.75286 -30.97373 + 800 | -9.288442 15.09564 -0.62 0.540 -39.27857 20.70169 + 801 | -47.17484 15.97633 -2.95 0.004 -78.9146 -15.43507 + 802 | -42.47314 12.3629 -3.44 0.001 -67.0342 -17.91207 + 803 | -37.67107 11.27128 -3.34 0.001 -60.06344 -15.2787 + 805 | -53.89802 11.8757 -4.54 0.000 -77.49117 -30.30487 + 806 | -39.40618 11.61698 -3.39 0.001 -62.48534 -16.32702 + 807 | -51.54267 11.08224 -4.65 0.000 -73.55947 -29.52588 + 1001 | -52.51252 12.0587 -4.35 0.000 -76.46924 -28.5558 + 1002 | -45.66442 16.35109 -2.79 0.006 -78.14872 -13.18011 + 1003 | -28.29885 13.52539 -2.09 0.039 -55.1694 -1.428299 + 1005 | -16.29989 11.73768 -1.39 0.168 -39.61885 7.019071 + 1006 | -18.36524 11.59618 -1.58 0.117 -41.40308 4.67259 + 1007 | -53.57415 13.20065 -4.06 0.000 -79.79954 -27.34876 + 1010 | -40.6162 16.72177 -2.43 0.017 -73.83692 -7.395486 + 1202 | -33.18182 17.69861 -1.87 0.064 -68.34319 1.97955 + 1203 | -28.33734 13.67541 -2.07 0.041 -55.50592 -1.168758 + 1204 | -17.82731 12.31796 -1.45 0.151 -42.29908 6.64447 + 1205 | -19.97014 10.74437 -1.86 0.066 -41.31571 1.375427 + 1206 | -25.02538 19.88157 -1.26 0.211 -64.52358 14.47282 + 1207 | -31.62363 16.26012 -1.94 0.055 -63.92719 .67993 + 1208 | -17.54823 11.31909 -1.55 0.125 -40.03558 4.939121 + 1209 | -18.9155 11.06851 -1.71 0.091 -40.90503 3.074026 + 1210 | -19.50277 11.33964 -1.72 0.089 -42.03095 3.02541 + 1211 | -14.49634 10.82452 -1.34 0.184 -36.00114 7.008456 + 1300 | -33.95871 16.97416 -2.00 0.048 -67.68084 -.2365826 + 1302 | 6.306342 10.12291 0.62 0.535 -13.80458 26.41726 + 1303 | -20.52037 11.19716 -1.83 0.070 -42.76549 1.724755 + 1304 | 1.170732 9.310012 0.13 0.900 -17.32523 19.6667 + 1399 | -52.05041 10.57388 -4.92 0.000 -73.05727 -31.04354 + 1400 | -11.42185 11.76198 -0.97 0.334 -34.78909 11.94538 + 1401 | -46.37522 8.076317 -5.74 0.000 -62.42023 -30.3302 + 1404 | 10.40605 10.48051 0.99 0.323 -10.4153 31.22741 + 1405 | -20.21122 10.83471 -1.87 0.065 -41.73627 1.31383 + 1406 | -44.46751 12.3993 -3.59 0.001 -69.10088 -19.83414 + 1407 | 14.37525 16.92851 0.85 0.398 -19.25619 48.00669 + 1409 | -36.23347 10.54206 -3.44 0.001 -57.17712 -15.28983 + 1410 | -29.52331 10.91673 -2.70 0.008 -51.2113 -7.835328 + 1499 | -55.17742 10.21234 -5.40 0.000 -75.46603 -34.88882 + 1500 | -52.01196 17.67289 -2.94 0.004 -87.12224 -16.90168 + 1501 | -27.06692 10.84722 -2.50 0.014 -48.61682 -5.517025 + 1502 | -22.72588 18.32354 -1.24 0.218 -59.1288 13.67704 + 1504 | -39.88441 9.82606 -4.06 0.000 -59.40559 -20.36323 + 1505 | -10.24831 10.1762 -1.01 0.317 -30.46509 9.968482 + 1507 | -11.12633 11.37402 -0.98 0.331 -33.7228 11.47014 + 1520 | -13.12546 10.63582 -1.23 0.220 -34.25537 8.004457 + 1521 | -9.032592 13.18071 -0.69 0.495 -35.21837 17.15318 + 1523 | -18.80023 10.26412 -1.83 0.070 -39.19169 1.591229 + 1524 | -24.25986 11.28011 -2.15 0.034 -46.66976 -1.849956 + 1525 | -10.31775 14.17726 -0.73 0.469 -38.48335 17.84785 + 1526 | 26.91993 10.26976 2.62 0.010 6.517265 47.3226 + 1599 | -24.38251 21.81359 -1.12 0.267 -67.71901 18.954 + 1600 | -31.7448 9.38053 -3.38 0.001 -50.38086 -13.10874 + 1603 | -16.86214 15.43564 -1.09 0.278 -47.52774 13.80346 + 1604 | -33.11775 11.19617 -2.96 0.004 -55.3609 -10.8746 + 1605 | -21.3736 11.69216 -1.83 0.071 -44.60212 1.85492 + 1608 | -32.43131 11.25874 -2.88 0.005 -54.79876 -10.06386 + 1609 | -25.12086 11.40575 -2.20 0.030 -47.78037 -2.461355 + 1610 | -39.39923 11.26804 -3.50 0.001 -61.78515 -17.01331 + 1611 | -64.13015 13.035 -4.92 0.000 -90.02644 -38.23385 + 1615 | -33.70955 17.93211 -1.88 0.063 -69.33482 1.915723 + 1616 | -60.50825 11.25127 -5.38 0.000 -82.86087 -38.15563 + 1617 | -5.702489 11.08025 -0.51 0.608 -27.71534 16.31036 + 1619 | -45.37179 23.52249 -1.93 0.057 -92.10332 1.359745 + 1698 | -9.553287 11.45913 -0.83 0.407 -32.31884 13.21227 + 1699 | -44.42885 15.66079 -2.84 0.006 -75.54174 -13.31597 + 1701 | -34.7079 27.044 -1.28 0.203 -88.43553 19.01972 + 1704 | -5.767615 13.32652 -0.43 0.666 -32.24307 20.70784 + 1706 | -28.66479 18.90842 -1.52 0.133 -66.22967 8.900089 + 1707 | -19.6988 24.70004 -0.80 0.427 -68.76974 29.37213 + 1709 | -6.004251 14.92901 -0.40 0.689 -35.66334 23.65483 + 1798 | -29.35352 15.36308 -1.91 0.059 -59.87495 1.167918 + 1800 | -23.50953 12.67637 -1.85 0.067 -48.69336 1.674299 + 1802 | -36.61701 30.16362 -1.21 0.228 -96.5423 23.30829 + 1803 | -60.36419 10.86 -5.56 0.000 -81.93948 -38.7889 + 1806 | 1.679405 10.26794 0.16 0.870 -18.71965 22.07846 + 1807 | -52.03318 11.85438 -4.39 0.000 -75.58398 -28.48238 + 1808 | -59.09443 9.395884 -6.29 0.000 -77.761 -40.42787 + 1900 | -44.95441 11.70009 -3.84 0.000 -68.19869 -21.71013 + 1901 | -50.24969 11.63663 -4.32 0.000 -73.36789 -27.13149 + 1902 | 3.003207 11.82893 0.25 0.800 -20.49702 26.50344 + 1906 | -7.280949 10.84564 -0.67 0.504 -28.8277 14.2658 + 1907 | 11.32364 11.34332 1.00 0.321 -11.21183 33.85912 + 1909 | -52.37703 13.30364 -3.94 0.000 -78.80704 -25.94702 + 1910 | -13.95378 11.91616 -1.17 0.245 -37.62731 9.719753 + 1915 | -7.810251 12.17465 -0.64 0.523 -31.99731 16.37681 + 1919 | -3.68189 14.47798 -0.25 0.800 -32.44491 25.08114 + 1925 | -8.740519 15.68047 -0.56 0.579 -39.8925 22.41146 + 1926 | -25.28705 12.62945 -2.00 0.048 -50.37765 -.1964498 + 1927 | -11.88424 11.2811 -1.05 0.295 -34.29611 10.52763 + 1929 | -26.76676 33.50269 -0.80 0.426 -93.32569 39.79218 + 2000 | -39.09608 10.06793 -3.88 0.000 -59.09779 -19.09437 + 2001 | -26.51855 13.19623 -2.01 0.047 -52.73516 -.3019431 + 2002 | -32.83427 12.49894 -2.63 0.010 -57.6656 -8.002945 + 2003 | -14.23836 11.23111 -1.27 0.208 -36.55092 8.074197 + 2004 | -28.57338 11.15175 -2.56 0.012 -50.72828 -6.41848 + 2005 | -31.32147 13.51419 -2.32 0.023 -58.16976 -4.473178 + 2006 | -16.32371 9.879752 -1.65 0.102 -35.95156 3.304141 + 2007 | -46.535 21.92443 -2.12 0.037 -90.09171 -2.978293 + 2008 | -31.24704 11.77971 -2.65 0.009 -54.6495 -7.844583 + 2009 | -12.28801 10.05837 -1.22 0.225 -32.27071 7.69469 + 2011 | -44.34542 10.97567 -4.04 0.000 -66.15049 -22.54034 + 2012 | -52.61825 11.10624 -4.74 0.000 -74.68273 -30.55376 + 2013 | -1.453643 12.19593 -0.12 0.905 -25.68298 22.77569 + 2014 | -60.48379 11.68497 -5.18 0.000 -83.69802 -37.26956 + 2015 | -31.95673 10.37552 -3.08 0.003 -52.56952 -11.34394 + 2100 | -33.86224 16.94481 -2.00 0.049 -67.52606 -.1984235 + 2101 | -35.71356 11.16313 -3.20 0.002 -57.89106 -13.53607 + 2102 | -46.47235 10.02765 -4.63 0.000 -66.39402 -26.55068 + 2103 | -44.80549 10.70022 -4.19 0.000 -66.06334 -23.54763 + 2104 | -49.15839 11.09196 -4.43 0.000 -71.19451 -27.12227 + 2105 | -39.58314 20.42462 -1.94 0.056 -80.1602 .9939257 + | + house_administration | -1.238669 5.00462 -0.25 0.805 -11.18122 8.703882 + house_agriculture | 13.77174 5.698018 2.42 0.018 2.451628 25.09184 + house_appropriations | .0820027 6.240281 0.01 0.990 -12.3154 12.47941 + house_armedservices | 4.803485 5.410305 0.89 0.377 -5.945031 15.552 + house_budget | 4.809262 7.059747 0.68 0.497 -9.216158 18.83468 + house_dc | 0 (omitted) + house_educlabor | -3.07235 2.848382 -1.08 0.284 -8.731158 2.586458 + house_energycommerce | -.6469526 3.414774 -0.19 0.850 -7.430996 6.137091 + house_foreignaffairs | -3.762697 5.777691 -0.65 0.517 -15.24109 7.715694 + house_governmentop | 10.06821 5.045388 2.00 0.049 .0446657 20.09175 + house_intelligence | 17.11787 12.37853 1.38 0.170 -7.474234 41.70997 + house_interior | -3.456356 7.887122 -0.44 0.662 -19.1255 12.21279 + house_judiciary | -2.073274 2.837906 -0.73 0.467 -7.711269 3.564721 + house_mmf | 2.908772 9.413185 0.31 0.758 -15.79216 21.60971 + house_pocs | -13.28403 7.610177 -1.75 0.084 -28.40298 1.834913 + house_pwt | -.0767616 6.894911 -0.01 0.991 -13.77471 13.62118 + house_rules | -7.854239 4.687349 -1.68 0.097 -17.16648 1.457998 + house_sst | -31.1315 12.56772 -2.48 0.015 -56.09946 -6.163533 + house_smallbusi | -14.64419 6.677987 -2.19 0.031 -27.91117 -1.377201 + house_soc | 59.7062 8.832069 6.76 0.000 42.15975 77.25265 + house_veterans | -5.931821 4.714792 -1.26 0.212 -15.29858 3.434936 + house_waysandmeans | 1.194157 2.410627 0.50 0.622 -3.594974 5.983287 +house_naturalresources | 3.241376 5.354834 0.61 0.546 -7.396936 13.87969 + house_bfs | -3.413592 5.378714 -0.63 0.527 -14.09935 7.272162 + house_eeo | -1.53299 5.997553 -0.26 0.799 -13.44818 10.3822 + house_govreform | -2.139904 3.675503 -0.58 0.562 -9.441933 5.162125 + house_ir | -10.72679 4.709486 -2.28 0.025 -20.08301 -1.370577 + house_natsecur | 14.05877 10.26179 1.37 0.174 -6.328075 34.44561 + house_oversight | 11.43086 4.69232 2.44 0.017 2.108745 20.75297 + house_resources | 1.689325 4.913022 0.34 0.732 -8.071249 11.4499 + house_science | -12.22107 7.01451 -1.74 0.085 -26.15662 1.714483 + house_transp | -4.10384 3.723219 -1.10 0.273 -11.50066 3.292984 + house_homeland | -.2910534 13.1976 -0.02 0.982 -26.51039 25.92828 + _cons | 62.52122 11.08671 5.64 0.000 40.49553 84.54691 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 91 1 0 1 1 + + +j = 4 k = 1 + + +rdbwselect_2014 pct_cosponsors_ten_5p MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11988 +----------------------+---------------------- NN matches = 3 + Number of obs | 6149 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 21.37807 36.22071 .5902168 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(6,677 missing values generated) +(54,574 missing values generated) +(47,897 real changes made) +reg pct_cosponsors_ten_5p sponsor_female i.v2 i.minor house_* [aw=wt] if tag_bill==1, robust cluster(group_sponsor) +(sum of wgt is 119,170.884066701) + +Linear regression Number of obs = 55,667 + F(268, 4402) = . + Prob > F = . + R-squared = 0.1480 + Root MSE = 24.077 + + (Std. Err. adjusted for 4,403 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + pct_cosponsors_ten_5p | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -.3117271 .5979589 -0.52 0.602 -1.484027 .8605731 + | + v2 | + 102 | 6.85248 1.580947 4.33 0.000 3.753029 9.951932 + 103 | -4.112116 2.013761 -2.04 0.041 -8.060099 -.1641318 + 104 | -3.380072 1.743192 -1.94 0.053 -6.797604 .0374607 + 105 | -2.154546 1.427405 -1.51 0.131 -4.952979 .6438866 + 106 | -2.405383 1.492933 -1.61 0.107 -5.332283 .5215159 + 107 | 5.53612 1.58983 3.48 0.001 2.419252 8.652987 + 108 | 8.409594 1.599064 5.26 0.000 5.274624 11.54456 + 109 | 10.29293 1.576005 6.53 0.000 7.203164 13.38269 + 110 | 8.403185 1.629199 5.16 0.000 5.209135 11.59724 + 111 | 6.014009 1.617744 3.72 0.000 2.842416 9.185601 + | + minor | + 101 | 5.219779 7.550412 0.69 0.489 -9.582827 20.02238 + 103 | -15.61555 8.882837 -1.76 0.079 -33.03038 1.799282 + 104 | 6.233022 8.293794 0.75 0.452 -10.02699 22.49303 + 105 | 9.65148 6.901681 1.40 0.162 -3.879287 23.18225 + 107 | 8.582878 6.784263 1.27 0.206 -4.71769 21.88345 + 108 | 20.23833 7.701837 2.63 0.009 5.138853 35.3378 + 110 | 2.4766 12.04736 0.21 0.837 -21.14229 26.09549 + 200 | 11.88335 7.054622 1.68 0.092 -1.947262 25.71396 + 201 | 5.779026 8.309126 0.70 0.487 -10.51104 22.06909 + 202 | 11.0091 8.849577 1.24 0.214 -6.340523 28.35872 + 204 | -6.210954 8.149117 -0.76 0.446 -22.18732 9.765416 + 205 | 16.19352 7.935876 2.04 0.041 .6352073 31.75183 + 206 | 10.53156 7.373138 1.43 0.153 -3.923501 24.98662 + 207 | 12.27277 8.187108 1.50 0.134 -3.778077 28.32363 + 208 | 5.594904 6.783396 0.82 0.410 -7.703965 18.89377 + 209 | -4.991075 16.29371 -0.31 0.759 -36.93495 26.9528 + 299 | 21.04902 7.242198 2.91 0.004 6.850665 35.24737 + 300 | 13.44766 7.296739 1.84 0.065 -.8576161 27.75294 + 301 | 13.83057 6.78674 2.04 0.042 .5251464 27.13599 + 302 | 10.54458 7.010354 1.50 0.133 -3.199239 24.2884 + 321 | 16.49313 7.116959 2.32 0.021 2.540307 30.44595 + 322 | 7.956925 7.550835 1.05 0.292 -6.846511 22.76036 + 323 | 6.324698 7.374946 0.86 0.391 -8.133906 20.7833 + 324 | 8.883943 7.363942 1.21 0.228 -5.553088 23.32097 + 325 | 9.694452 7.625292 1.27 0.204 -5.254957 24.64386 + 331 | 19.77843 7.271631 2.72 0.007 5.522379 34.03449 + 332 | 15.43512 7.022689 2.20 0.028 1.667121 29.20313 + 333 | 20.45837 7.46878 2.74 0.006 5.815806 35.10094 + 334 | 17.97389 7.224921 2.49 0.013 3.809411 32.13837 + 335 | 5.232052 7.581232 0.69 0.490 -9.630976 20.09508 + 336 | 13.70047 7.144112 1.92 0.055 -.3055812 27.70653 + 341 | 16.80079 7.118331 2.36 0.018 2.845284 30.7563 + 342 | 8.578161 8.857377 0.97 0.333 -8.786753 25.94307 + 343 | 16.47954 7.200254 2.29 0.022 2.363424 30.59566 + 344 | 8.90678 7.778895 1.14 0.252 -6.343766 24.15733 + 398 | 16.10331 7.880071 2.04 0.041 .654402 31.55221 + 399 | 12.66087 7.167362 1.77 0.077 -1.39076 26.71251 + 400 | 3.749096 7.167825 0.52 0.601 -10.30345 17.80164 + 401 | -4.20073 7.285166 -0.58 0.564 -18.48332 10.08186 + 402 | 5.609167 6.767903 0.83 0.407 -7.659328 18.87766 + 403 | 9.44319 7.372075 1.28 0.200 -5.009786 23.89617 + 404 | 12.86934 7.394438 1.74 0.082 -1.627478 27.36616 + 405 | 14.91325 8.327227 1.79 0.073 -1.412308 31.2388 + 498 | 14.80879 12.37728 1.20 0.232 -9.456901 39.07449 + 499 | 8.482146 9.376862 0.90 0.366 -9.90122 26.86551 + 500 | 12.4841 12.13468 1.03 0.304 -11.30597 36.27417 + 501 | 4.477161 6.89724 0.65 0.516 -9.0449 17.99922 + 502 | 11.24345 6.703338 1.68 0.094 -1.898468 24.38536 + 503 | 8.62842 6.746033 1.28 0.201 -4.597199 21.85404 + 504 | 9.295304 7.080875 1.31 0.189 -4.586773 23.17738 + 505 | 2.125481 6.917983 0.31 0.759 -11.43725 15.68821 + 506 | 13.42614 7.66561 1.75 0.080 -1.60231 28.45459 + 508 | 8.785445 6.931061 1.27 0.205 -4.802922 22.37381 + 529 | 20.46791 8.581132 2.39 0.017 3.644572 37.29124 + 530 | 10.83488 6.882839 1.57 0.116 -2.65895 24.3287 + 599 | 8.960498 10.63314 0.84 0.399 -11.88581 29.8068 + 600 | 6.569438 7.026032 0.94 0.350 -7.20512 20.344 + 601 | 9.729386 6.599957 1.47 0.141 -3.209849 22.66862 + 602 | 8.104387 6.557318 1.24 0.217 -4.751254 20.96003 + 603 | 8.55428 6.973822 1.23 0.220 -5.117919 22.22648 + 604 | -3.541934 8.386868 -0.42 0.673 -19.98441 12.90055 + 606 | 6.031532 7.376896 0.82 0.414 -8.430894 20.49396 + 607 | 12.20478 6.835172 1.79 0.074 -1.195599 25.60515 + 609 | 12.33727 7.485869 1.65 0.099 -2.3388 27.01334 + 698 | 15.98765 11.12036 1.44 0.151 -5.813841 37.78914 + 699 | 8.02816 7.806429 1.03 0.304 -7.276368 23.33269 + 700 | 4.746907 6.598434 0.72 0.472 -8.189344 17.68316 + 701 | 13.97692 7.699366 1.82 0.070 -1.117713 29.07155 + 703 | 8.883676 7.523205 1.18 0.238 -5.86559 23.63294 + 704 | 6.019039 7.218245 0.83 0.404 -8.132353 20.17043 + 705 | 7.7252 7.152898 1.08 0.280 -6.298077 21.74848 + 707 | 7.308494 6.867666 1.06 0.287 -6.155586 20.77257 + 708 | 14.21741 7.591681 1.87 0.061 -.6661066 29.10092 + 709 | 9.592604 6.314765 1.52 0.129 -2.787512 21.97272 + 710 | 9.467326 6.666218 1.42 0.156 -3.601814 22.53647 + 711 | 3.530586 7.115994 0.50 0.620 -10.42034 17.48151 + 798 | 10.1864 7.525731 1.35 0.176 -4.567822 24.94061 + 799 | 14.31375 8.417881 1.70 0.089 -2.18953 30.81703 + 800 | 5.404673 7.102037 0.76 0.447 -8.518893 19.32824 + 801 | 10.57842 7.851956 1.35 0.178 -4.815366 25.9722 + 802 | -1.328949 7.541363 -0.18 0.860 -16.11382 13.45592 + 803 | 8.347404 6.756595 1.24 0.217 -4.898921 21.59373 + 805 | -4.655143 7.991696 -0.58 0.560 -20.32289 11.0126 + 806 | 6.209159 7.024993 0.88 0.377 -7.563361 19.98168 + 807 | 10.914 7.111587 1.53 0.125 -3.028287 24.85629 + 898 | 8.476464 9.908255 0.86 0.392 -10.9487 27.90163 + 899 | 6.676132 9.760303 0.68 0.494 -12.45897 25.81123 + 1000 | 8.433958 7.07624 1.19 0.233 -5.439032 22.30695 + 1001 | 20.44424 8.801619 2.32 0.020 3.188643 37.69984 + 1002 | 5.594538 6.718663 0.83 0.405 -7.577421 18.7665 + 1003 | 7.446706 6.639638 1.12 0.262 -5.570324 20.46374 + 1005 | 6.545571 8.213748 0.80 0.426 -9.557507 22.64865 + 1006 | 8.150013 7.582998 1.07 0.283 -6.716477 23.0165 + 1007 | 3.616419 5.743772 0.63 0.529 -7.644263 14.8771 + 1010 | 17.26147 7.573052 2.28 0.023 2.414474 32.10846 + 1098 | 1.553215 8.695185 0.18 0.858 -15.49372 18.60015 + 1099 | 5.220193 11.77526 0.44 0.658 -17.86525 28.30564 + 1200 | 10.40211 8.336432 1.25 0.212 -5.941495 26.74571 + 1201 | 7.873371 7.172983 1.10 0.272 -6.189284 21.93603 + 1202 | 7.146574 7.536944 0.95 0.343 -7.629628 21.92278 + 1203 | 8.554983 7.005752 1.22 0.222 -5.179814 22.28978 + 1204 | 9.708965 6.844306 1.42 0.156 -3.709318 23.12725 + 1205 | 8.119855 6.863415 1.18 0.237 -5.335892 21.5756 + 1206 | 5.277298 6.946951 0.76 0.448 -8.34222 18.89682 + 1207 | 6.703516 6.87361 0.98 0.329 -6.772217 20.17925 + 1208 | 15.4071 6.872207 2.24 0.025 1.934118 28.88008 + 1209 | 9.634651 6.539464 1.47 0.141 -3.185989 22.45529 + 1210 | 7.599973 6.779345 1.12 0.262 -5.690953 20.8909 + 1211 | 8.099178 7.687216 1.05 0.292 -6.971633 23.16999 + 1299 | 13.61067 9.475772 1.44 0.151 -4.966612 32.18795 + 1300 | 15.34576 7.477175 2.05 0.040 .6867378 30.00479 + 1301 | 12.56233 7.241525 1.73 0.083 -1.634706 26.75936 + 1302 | 9.925027 7.385186 1.34 0.179 -4.553652 24.40371 + 1303 | 6.653779 8.73046 0.76 0.446 -10.46231 23.76987 + 1304 | 11.33383 7.292079 1.55 0.120 -2.962313 25.62997 + 1305 | 6.894285 7.884421 0.87 0.382 -8.563145 22.35172 + 1399 | 2.553789 9.841068 0.26 0.795 -16.73965 21.84723 + 1400 | 11.70118 7.038836 1.66 0.097 -2.098477 25.50084 + 1401 | 9.641351 7.179216 1.34 0.179 -4.433524 23.71623 + 1403 | 20.72736 7.166346 2.89 0.004 6.677719 34.777 + 1404 | -9.474697 8.227922 -1.15 0.250 -25.60556 6.656168 + 1405 | -2.713084 7.777975 -0.35 0.727 -17.96183 12.53566 + 1406 | 7.429211 7.124543 1.04 0.297 -6.538477 21.3969 + 1407 | 11.60116 8.161947 1.42 0.155 -4.400361 27.60268 + 1408 | 10.75127 7.893244 1.36 0.173 -4.72346 26.226 + 1409 | 14.14843 8.642163 1.64 0.102 -2.794557 31.09142 + 1410 | 10.85467 7.280669 1.49 0.136 -3.419107 25.12844 + 1499 | -3.504794 8.316754 -0.42 0.673 -19.80982 12.80023 + 1500 | -.2970163 6.426903 -0.05 0.963 -12.89698 12.30295 + 1501 | 10.3038 6.709383 1.54 0.125 -2.849963 23.45757 + 1502 | 12.90598 6.945449 1.86 0.063 -.7105934 26.52256 + 1504 | 8.277542 7.159 1.16 0.248 -5.7577 22.31278 + 1505 | 10.7534 7.772047 1.38 0.167 -4.483723 25.99052 + 1507 | 7.644034 7.089102 1.08 0.281 -6.254172 21.54224 + 1520 | 5.727943 7.005543 0.82 0.414 -8.006445 19.46233 + 1521 | 7.12188 7.045978 1.01 0.312 -6.691783 20.93554 + 1522 | 19.21087 6.702466 2.87 0.004 6.070665 32.35108 + 1523 | 8.580471 6.799014 1.26 0.207 -4.749016 21.90996 + 1524 | 16.01244 9.407981 1.70 0.089 -2.431936 34.45682 + 1525 | 8.069632 7.129095 1.13 0.258 -5.906981 22.04625 + 1526 | 7.911433 6.864436 1.15 0.249 -5.546314 21.36918 + 1599 | 13.92701 7.658896 1.82 0.069 -1.088277 28.9423 + 1600 | 8.40341 7.028147 1.20 0.232 -5.375294 22.18211 + 1602 | 5.809883 11.75062 0.49 0.621 -17.22724 28.84701 + 1603 | -3.699078 8.42473 -0.44 0.661 -20.21579 12.81763 + 1604 | 7.901628 7.897989 1.00 0.317 -7.582403 23.38566 + 1605 | 16.648 6.987637 2.38 0.017 2.948718 30.34729 + 1606 | 10.51804 11.00297 0.96 0.339 -11.05332 32.0894 + 1608 | 9.669717 6.697101 1.44 0.149 -3.459969 22.7994 + 1609 | 7.805137 6.761566 1.15 0.248 -5.450933 21.06121 + 1610 | 20.98379 7.289253 2.88 0.004 6.693191 35.2744 + 1611 | 10.49605 8.310481 1.26 0.207 -5.796678 26.78877 + 1612 | 9.573337 6.921659 1.38 0.167 -3.996597 23.14327 + 1614 | -5.868408 8.609576 -0.68 0.496 -22.74751 11.01069 + 1615 | 4.464771 6.970051 0.64 0.522 -9.200035 18.12958 + 1616 | -2.199229 5.815941 -0.38 0.705 -13.6014 9.202941 + 1617 | 7.207835 7.814554 0.92 0.356 -8.112623 22.52829 + 1619 | 6.324094 6.076407 1.04 0.298 -5.588721 18.23691 + 1620 | 7.004891 9.415688 0.74 0.457 -11.45459 25.46438 + 1698 | -.2614226 10.16229 -0.03 0.979 -20.18463 19.66179 + 1699 | 12.99947 7.996532 1.63 0.104 -2.677756 28.67669 + 1700 | 13.69999 7.39503 1.85 0.064 -.797992 28.19796 + 1701 | 3.778674 6.938027 0.54 0.586 -9.823348 17.3807 + 1704 | 31.51906 13.05959 2.41 0.016 5.915697 57.12242 + 1705 | -4.369233 9.588524 -0.46 0.649 -23.16756 14.4291 + 1706 | 9.691378 7.106107 1.36 0.173 -4.240167 23.62292 + 1707 | 11.69464 7.778921 1.50 0.133 -3.555956 26.94524 + 1708 | 14.23993 7.13622 2.00 0.046 .2493515 28.23051 + 1709 | 15.07904 6.840461 2.20 0.028 1.668292 28.48978 + 1798 | 15.5471 7.249227 2.14 0.032 1.334971 29.75924 + 1799 | 11.30252 9.327138 1.21 0.226 -6.983363 29.5884 + 1800 | 10.24116 8.816619 1.16 0.245 -7.043851 27.52617 + 1802 | 13.8837 7.149832 1.94 0.052 -.1335646 27.90097 + 1803 | 13.31567 7.287959 1.83 0.068 -.9723973 27.60374 + 1804 | 6.990031 7.302535 0.96 0.339 -7.326611 21.30667 + 1806 | 21.08594 6.860461 3.07 0.002 7.635984 34.53589 + 1807 | -15.57845 6.860956 -2.27 0.023 -29.02938 -2.127527 + 1808 | 12.9754 7.706277 1.68 0.092 -2.132776 28.08358 + 1899 | 19.79932 10.40045 1.90 0.057 -.590801 40.18943 + 1900 | 7.099994 6.942292 1.02 0.306 -6.510391 20.71038 + 1901 | 15.35273 7.094174 2.16 0.031 1.444577 29.26088 + 1902 | 15.84953 7.216172 2.20 0.028 1.702198 29.99685 + 1905 | 14.1919 9.569655 1.48 0.138 -4.569438 32.95324 + 1906 | 16.49786 8.538752 1.93 0.053 -.2423922 33.23811 + 1907 | 11.97728 11.23236 1.07 0.286 -10.04378 33.99835 + 1908 | 22.38425 7.636384 2.93 0.003 7.413092 37.3554 + 1909 | 12.96499 9.015714 1.44 0.150 -4.710342 30.64033 + 1910 | 22.99937 8.395159 2.74 0.006 6.540638 39.45811 + 1911 | 21.4415 7.553322 2.84 0.005 6.633192 36.24981 + 1912 | -5.714841 11.30062 -0.51 0.613 -27.86975 16.44007 + 1914 | 14.18791 7.534945 1.88 0.060 -.5843733 28.96019 + 1915 | 19.28058 9.336558 2.07 0.039 .9762281 37.58493 + 1919 | 17.82989 7.378843 2.42 0.016 3.363643 32.29613 + 1920 | 16.62593 6.947743 2.39 0.017 3.004856 30.247 + 1925 | 22.79734 6.392225 3.57 0.000 10.26537 35.32932 + 1926 | 2.920776 6.458331 0.45 0.651 -9.740802 15.58235 + 1927 | 13.01199 7.564663 1.72 0.085 -1.818551 27.84254 + 1929 | 10.47185 7.311828 1.43 0.152 -3.863011 24.80671 + 1999 | 10.21964 11.59343 0.88 0.378 -12.5093 32.94859 + 2000 | -1.56647 7.085542 -0.22 0.825 -15.4577 12.32476 + 2001 | 3.171263 9.670694 0.33 0.743 -15.78816 22.13069 + 2002 | 1.324938 6.756554 0.20 0.845 -11.92131 14.57118 + 2003 | 17.1174 7.77505 2.20 0.028 1.874395 32.36041 + 2004 | 8.110307 6.853494 1.18 0.237 -5.325988 21.5466 + 2005 | 8.23915 8.459951 0.97 0.330 -8.346609 24.82491 + 2006 | 23.06884 6.996986 3.30 0.001 9.351228 36.78645 + 2007 | 8.521589 6.865488 1.24 0.215 -4.93822 21.9814 + 2008 | 11.19039 6.502141 1.72 0.085 -1.557075 23.93786 + 2009 | 5.060715 7.661698 0.66 0.509 -9.960067 20.0815 + 2010 | 23.27973 6.504852 3.58 0.000 10.52694 36.03251 + 2011 | -1.287748 6.39975 -0.20 0.841 -13.83448 11.25898 + 2012 | 2.528653 6.435833 0.39 0.694 -10.08882 15.14612 + 2013 | 8.151905 7.383075 1.10 0.270 -6.322636 22.62645 + 2014 | -.1278027 8.066036 -0.02 0.987 -15.94129 15.68568 + 2015 | 8.546245 7.267994 1.18 0.240 -5.70268 22.79517 + 2030 | 6.045363 9.621726 0.63 0.530 -12.81806 24.90879 + 2099 | 8.052527 8.017948 1.00 0.315 -7.666684 23.77174 + 2100 | .1635836 7.166567 0.02 0.982 -13.88649 14.21366 + 2101 | 6.281732 6.682109 0.94 0.347 -6.818563 19.38203 + 2102 | 1.617959 6.346145 0.25 0.799 -10.82368 14.05959 + 2103 | -2.743029 6.5577 -0.42 0.676 -15.59942 10.11336 + 2104 | -4.861453 6.613183 -0.74 0.462 -17.82662 8.103713 + 2105 | -.6251615 8.396536 -0.07 0.941 -17.0866 15.83627 + 2199 | -12.00979 10.23599 -1.17 0.241 -32.07748 8.05789 + 9999 | 6.933851 7.472647 0.93 0.354 -7.716296 21.584 + | + house_administration | 1.627518 1.6492 0.99 0.324 -1.605744 4.86078 + house_agriculture | 4.632522 1.261109 3.67 0.000 2.160114 7.10493 + house_appropriations | -4.338284 2.227847 -1.95 0.052 -8.705985 .0294167 + house_armedservices | -.3721008 1.255489 -0.30 0.767 -2.833491 2.089289 + house_budget | .5026069 1.612989 0.31 0.755 -2.659664 3.664878 + house_dc | 7.692445 7.172897 1.07 0.284 -6.370042 21.75493 + house_educlabor | 3.468477 .9183072 3.78 0.000 1.668133 5.268822 + house_energycommerce | 3.863624 .8225939 4.70 0.000 2.250927 5.476322 + house_foreignaffairs | 2.772161 3.70165 0.75 0.454 -4.484936 10.02926 + house_governmentop | .9996779 2.059972 0.49 0.627 -3.038903 5.038259 + house_intelligence | 11.36627 2.951741 3.85 0.000 5.579371 17.15316 + house_interior | -1.944401 1.972794 -0.99 0.324 -5.81207 1.923267 + house_judiciary | 1.271931 .7450902 1.71 0.088 -.1888205 2.732683 + house_mmf | 2.393581 2.316474 1.03 0.302 -2.147874 6.935036 + house_pocs | 3.489782 3.044775 1.15 0.252 -2.479509 9.459072 + house_pwt | 3.149407 2.309415 1.36 0.173 -1.378207 7.677021 + house_rules | -.5995907 1.440431 -0.42 0.677 -3.423559 2.224378 + house_sst | 7.374174 3.112895 2.37 0.018 1.271335 13.47701 + house_smallbusi | -6.159277 2.721835 -2.26 0.024 -11.49544 -.8231114 + house_soc | 5.804616 4.505801 1.29 0.198 -3.029022 14.63825 + house_veterans | .2474941 1.440552 0.17 0.864 -2.576713 3.071701 + house_waysandmeans | .1871463 .7791882 0.24 0.810 -1.340454 1.714747 +house_naturalresources | -1.248594 1.386524 -0.90 0.368 -3.966878 1.469691 + house_bfs | .3794183 1.173473 0.32 0.746 -1.921179 2.680016 + house_eeo | .2489253 1.448276 0.17 0.864 -2.590424 3.088275 + house_govreform | 2.967999 1.002024 2.96 0.003 1.003528 4.93247 + house_ir | 4.229978 1.868091 2.26 0.024 .5675801 7.892375 + house_natsecur | -3.065601 2.330168 -1.32 0.188 -7.633903 1.502701 + house_oversight | 1.170934 1.387876 0.84 0.399 -1.55 3.891868 + house_resources | -2.825677 1.227016 -2.30 0.021 -5.231246 -.420108 + house_science | -1.920656 1.300224 -1.48 0.140 -4.469749 .6284377 + house_transp | 1.010838 1.013847 1.00 0.319 -.9768125 2.998488 + house_homeland | .793843 1.843867 0.43 0.667 -2.821064 4.40875 + _cons | 17.35688 6.37989 2.72 0.007 4.84909 29.86468 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,403 1 0 1 1 + + +j = 4 k = 2 + + +rdbwselect_2014 pct_cosponsors_ten_5p MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6186 +----------------------+---------------------- NN matches = 3 + Number of obs | 2192 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 19.17042 42.99568 .4458686 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(6,677 missing values generated) +(54,574 missing values generated) +(47,897 real changes made) +reg pct_cosponsors_ten_5p sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==100 & tag_bill==1, robust cluster(group_sponsor) +(sum of wgt is 61,739.6223663092) + +Linear regression Number of obs = 29,559 + F(268, 2277) = . + Prob > F = . + R-squared = 0.1542 + Root MSE = 24.741 + + (Std. Err. adjusted for 2,278 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + pct_cosponsors_ten_5p | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -.4391329 .7938447 -0.55 0.580 -1.995867 1.117602 + | + v2 | + 102 | 7.252463 1.830735 3.96 0.000 3.66238 10.84255 + 103 | -3.651428 1.732896 -2.11 0.035 -7.049648 -.2532088 + 104 | -4.742199 2.265895 -2.09 0.036 -9.185633 -.2987648 + 105 | -1.799178 1.668358 -1.08 0.281 -5.070838 1.472482 + 106 | -4.085912 1.618483 -2.52 0.012 -7.259768 -.9120566 + 107 | 7.782468 1.978576 3.93 0.000 3.902467 11.66247 + 108 | 9.92495 1.891562 5.25 0.000 6.215586 13.63431 + 109 | 13.21829 2.160469 6.12 0.000 8.981599 17.45499 + 110 | 11.2256 1.685942 6.66 0.000 7.919455 14.53174 + 111 | 5.49266 1.796161 3.06 0.002 1.970377 9.014944 + | + minor | + 101 | 9.581696 10.99109 0.87 0.383 -11.97189 31.13528 + 103 | -22.42952 9.338264 -2.40 0.016 -40.74192 -4.117129 + 104 | 4.835521 10.22127 0.47 0.636 -15.20846 24.8795 + 105 | 7.530991 7.898664 0.95 0.340 -7.958338 23.02032 + 107 | 3.927735 7.465133 0.53 0.599 -10.71144 18.56691 + 108 | 13.41168 8.817853 1.52 0.128 -3.880188 30.70354 + 110 | 4.099675 16.34663 0.25 0.802 -27.95617 36.15552 + 200 | 11.10939 8.963317 1.24 0.215 -6.467733 28.68651 + 201 | 5.603757 8.929282 0.63 0.530 -11.90662 23.11414 + 202 | 13.46826 7.875691 1.71 0.087 -1.976016 28.91254 + 204 | 6.794313 10.59952 0.64 0.522 -13.9914 27.58003 + 205 | 16.10838 8.842144 1.82 0.069 -1.231119 33.44788 + 206 | 10.01651 8.309169 1.21 0.228 -6.277824 26.31084 + 207 | 23.72923 8.070348 2.94 0.003 7.903222 39.55523 + 208 | 2.896678 7.902834 0.37 0.714 -12.60083 18.39419 + 209 | -1.241438 20.44262 -0.06 0.952 -41.32955 38.84668 + 299 | 19.62793 9.781477 2.01 0.045 .4463891 38.80947 + 300 | 12.31597 7.636196 1.61 0.107 -2.658663 27.2906 + 301 | 15.85158 7.749883 2.05 0.041 .654007 31.04915 + 302 | 9.720851 7.425637 1.31 0.191 -4.840871 24.28257 + 321 | 14.35633 7.799281 1.84 0.066 -.9381071 29.65077 + 322 | 5.315618 7.905011 0.67 0.501 -10.18616 20.81739 + 323 | 7.464465 8.662517 0.86 0.389 -9.522787 24.45172 + 324 | 6.245409 8.639977 0.72 0.470 -10.69764 23.18846 + 325 | 10.30229 8.068607 1.28 0.202 -5.520296 26.12488 + 331 | 23.61048 7.89845 2.99 0.003 8.121571 39.09939 + 332 | 13.49184 7.699863 1.75 0.080 -1.607637 28.59132 + 333 | 19.0994 7.732873 2.47 0.014 3.935185 34.26361 + 334 | 15.20472 7.564961 2.01 0.045 .3697776 30.03965 + 335 | 5.542774 7.599134 0.73 0.466 -9.359175 20.44472 + 336 | 15.27261 7.608918 2.01 0.045 .3514725 30.19374 + 341 | 17.96377 7.684609 2.34 0.019 2.894201 33.03334 + 342 | 3.79325 9.946178 0.38 0.703 -15.71127 23.29777 + 343 | 18.82959 8.225816 2.29 0.022 2.698709 34.96046 + 344 | 5.078239 8.31151 0.61 0.541 -11.22069 21.37716 + 398 | 16.7551 8.213008 2.04 0.041 .6493414 32.86087 + 399 | 9.465565 9.456594 1.00 0.317 -9.078877 28.01001 + 400 | 6.952633 7.992827 0.87 0.384 -8.721352 22.62662 + 401 | -3.213478 7.968069 -0.40 0.687 -18.83891 12.41196 + 402 | 5.916808 7.596161 0.78 0.436 -8.979312 20.81293 + 403 | 8.681475 8.078475 1.07 0.283 -7.160466 24.52342 + 404 | 7.957945 8.101328 0.98 0.326 -7.92881 23.8447 + 405 | 11.74028 9.921877 1.18 0.237 -7.716583 31.19714 + 498 | 20.20309 13.55183 1.49 0.136 -6.37213 46.77832 + 499 | 15.70319 11.84028 1.33 0.185 -7.515684 38.92206 + 500 | -5.150142 10.97795 -0.47 0.639 -26.67798 16.37769 + 501 | 5.261119 7.880605 0.67 0.504 -10.1928 20.71504 + 502 | 10.1293 7.564175 1.34 0.181 -4.704095 24.9627 + 503 | 8.578852 7.391804 1.16 0.246 -5.916522 23.07423 + 504 | 5.791001 8.246338 0.70 0.483 -10.38012 21.96212 + 505 | 10.97678 7.710609 1.42 0.155 -4.143776 26.09733 + 506 | 20.08887 7.754323 2.59 0.010 4.882593 35.29515 + 508 | 11.7729 7.795028 1.51 0.131 -3.5132 27.059 + 529 | 27.40164 7.592552 3.61 0.000 12.5126 42.29068 + 530 | 12.71874 7.462804 1.70 0.088 -1.915866 27.35335 + 599 | 12.70184 13.19846 0.96 0.336 -13.18043 38.58411 + 600 | 5.335475 8.428867 0.63 0.527 -11.19359 21.86454 + 601 | 9.465448 7.443094 1.27 0.204 -5.130507 24.0614 + 602 | 7.988524 7.458685 1.07 0.284 -6.638004 22.61505 + 603 | 8.238673 7.855642 1.05 0.294 -7.166291 23.64364 + 604 | 1.096853 8.93334 0.12 0.902 -16.42148 18.61519 + 606 | 5.53849 8.806633 0.63 0.529 -11.73137 22.80835 + 607 | 8.498556 7.498376 1.13 0.257 -6.205806 23.20292 + 609 | 15.12874 7.942121 1.90 0.057 -.4458073 30.70329 + 698 | 13.5615 13.27817 1.02 0.307 -12.47707 39.60008 + 699 | 11.59004 8.28773 1.40 0.162 -4.662255 27.84233 + 700 | 9.040854 8.569873 1.05 0.292 -7.764721 25.84643 + 701 | 16.84234 9.384119 1.79 0.073 -1.559976 35.24466 + 703 | 11.0216 8.370339 1.32 0.188 -5.392684 27.43589 + 704 | 6.725723 7.595614 0.89 0.376 -8.169324 21.62077 + 705 | 5.187408 7.873373 0.66 0.510 -10.25233 20.62714 + 707 | 15.56111 8.080719 1.93 0.054 -.2852287 31.40746 + 708 | 12.8149 8.259967 1.55 0.121 -3.382949 29.01275 + 709 | 15.16257 7.922145 1.91 0.056 -.3728026 30.69795 + 710 | 15.0998 7.522229 2.01 0.045 .3486577 29.85094 + 711 | 5.217825 7.757696 0.67 0.501 -9.995066 20.43072 + 798 | 4.44408 8.310385 0.53 0.593 -11.85264 20.7408 + 799 | 22.22644 12.24613 1.81 0.070 -1.7883 46.24118 + 800 | 5.691879 7.690098 0.74 0.459 -9.388452 20.77221 + 801 | 14.73442 8.524791 1.73 0.084 -1.982745 31.45159 + 802 | 1.265516 9.518624 0.13 0.894 -17.40057 19.9316 + 803 | 9.099273 7.501295 1.21 0.225 -5.610815 23.80936 + 805 | 19.90328 8.365698 2.38 0.017 3.498088 36.30846 + 806 | 5.60524 7.584693 0.74 0.460 -9.268392 20.47887 + 807 | 11.7584 8.5431 1.38 0.169 -4.994674 28.51147 + 898 | 2.328771 12.35172 0.19 0.850 -21.89302 26.55057 + 899 | -10.20475 12.49637 -0.82 0.414 -34.71021 14.30071 + 1000 | 8.460452 7.981185 1.06 0.289 -7.190703 24.11161 + 1001 | 8.521869 8.816439 0.97 0.334 -8.767225 25.81096 + 1002 | 3.893346 7.903691 0.49 0.622 -11.60584 19.39253 + 1003 | 9.55656 7.737002 1.24 0.217 -5.615751 24.72887 + 1005 | 12.14149 7.913518 1.53 0.125 -3.37697 27.65995 + 1006 | 2.575666 7.948674 0.32 0.746 -13.01174 18.16307 + 1007 | 11.50354 7.721747 1.49 0.136 -3.638854 26.64594 + 1010 | 17.22406 8.755071 1.97 0.049 .055313 34.39281 + 1098 | -6.651294 9.99014 -0.67 0.506 -26.24202 12.93943 + 1099 | 27.03755 8.966312 3.02 0.003 9.454551 44.62054 + 1200 | 7.723604 8.940294 0.86 0.388 -9.80837 25.25558 + 1201 | 7.063127 9.068022 0.78 0.436 -10.71932 24.84558 + 1202 | 9.129231 9.116499 1.00 0.317 -8.748281 27.00674 + 1203 | 3.304404 8.201607 0.40 0.687 -12.779 19.38781 + 1204 | 14.75306 9.480606 1.56 0.120 -3.83847 33.34459 + 1205 | 16.52055 7.789645 2.12 0.034 1.245004 31.79609 + 1206 | 4.944325 8.100427 0.61 0.542 -10.94066 20.82931 + 1207 | 5.304046 8.844103 0.60 0.549 -12.0393 22.64739 + 1208 | 13.92553 7.450606 1.87 0.062 -.6851596 28.53621 + 1209 | 10.9887 7.080094 1.55 0.121 -2.895412 24.87281 + 1210 | 6.454194 8.100333 0.80 0.426 -9.43061 22.339 + 1211 | 12.38996 9.691383 1.28 0.201 -6.614908 31.39482 + 1299 | 8.34856 10.62147 0.79 0.432 -12.4802 29.17732 + 1300 | 14.17174 8.994222 1.58 0.115 -3.465989 31.80946 + 1301 | 11.56426 8.028588 1.44 0.150 -4.179853 27.30837 + 1302 | -.0117262 8.090218 -0.00 0.999 -15.8767 15.85324 + 1303 | 1.371992 7.240854 0.19 0.850 -12.82737 15.57135 + 1304 | 7.393658 7.819973 0.95 0.345 -7.941359 22.72867 + 1305 | 4.289342 10.34907 0.41 0.679 -16.00525 24.58393 + 1399 | 2.361202 14.81935 0.16 0.873 -26.69963 31.42203 + 1400 | 8.827676 8.121039 1.09 0.277 -7.097734 24.75309 + 1401 | 10.97162 8.515752 1.29 0.198 -5.727821 27.67107 + 1403 | 19.86173 8.164282 2.43 0.015 3.851521 35.87194 + 1404 | -6.226583 9.697473 -0.64 0.521 -25.24339 12.79022 + 1405 | .9081565 7.82685 0.12 0.908 -14.44035 16.25666 + 1406 | 8.58805 8.640591 0.99 0.320 -8.356205 25.53231 + 1407 | 4.515019 9.597744 0.47 0.638 -14.30622 23.33626 + 1408 | 8.740587 9.462718 0.92 0.356 -9.815864 27.29704 + 1409 | 20.44544 8.127186 2.52 0.012 4.507973 36.3829 + 1410 | 6.475185 9.23522 0.70 0.483 -11.63514 24.58551 + 1499 | -7.511031 8.710411 -0.86 0.389 -24.5922 9.570141 + 1500 | 1.245571 8.911152 0.14 0.889 -16.22926 18.7204 + 1501 | 8.536287 7.40209 1.15 0.249 -5.979259 23.05183 + 1502 | 15.46371 7.870913 1.96 0.050 .0287949 30.89862 + 1504 | 10.40494 8.293511 1.25 0.210 -5.858689 26.66856 + 1505 | 3.150876 10.08657 0.31 0.755 -16.62895 22.9307 + 1507 | 10.219 8.336154 1.23 0.220 -6.128249 26.56625 + 1520 | 2.574795 7.918801 0.33 0.745 -12.95402 18.10361 + 1521 | .7878241 7.475277 0.11 0.916 -13.87124 15.44689 + 1522 | 18.60585 7.723218 2.41 0.016 3.460571 33.75113 + 1523 | 7.213863 7.693676 0.94 0.349 -7.873484 22.30121 + 1524 | 18.38249 9.921027 1.85 0.064 -1.07271 37.83769 + 1525 | 7.542526 8.152134 0.93 0.355 -8.443861 23.52891 + 1526 | 2.975754 7.822619 0.38 0.704 -12.36445 18.31596 + 1599 | 10.67232 9.203548 1.16 0.246 -7.375895 28.72054 + 1600 | 16.13371 7.904518 2.04 0.041 .6329051 31.63452 + 1602 | 16.21846 8.813883 1.84 0.066 -1.06562 33.50254 + 1603 | -12.37911 12.94091 -0.96 0.339 -37.75632 12.99811 + 1604 | 1.593074 7.120999 0.22 0.823 -12.37125 15.5574 + 1605 | 13.22837 7.562602 1.75 0.080 -1.601945 28.05868 + 1606 | 17.83102 7.654235 2.33 0.020 2.821013 32.84102 + 1608 | 9.949943 7.731027 1.29 0.198 -5.210649 25.11054 + 1609 | 7.943919 7.558731 1.05 0.293 -6.878801 22.76664 + 1610 | 19.60777 8.378476 2.34 0.019 3.177528 36.03802 + 1611 | 15.34928 10.09514 1.52 0.129 -4.447355 35.14591 + 1612 | 9.473987 8.104439 1.17 0.243 -6.41887 25.36684 + 1614 | 7.29135 8.701836 0.84 0.402 -9.773007 24.35571 + 1615 | 6.451336 7.955348 0.81 0.417 -9.149152 22.05182 + 1616 | 5.779133 9.349046 0.62 0.537 -12.55441 24.11267 + 1617 | 4.265638 8.862118 0.48 0.630 -13.11303 21.64431 + 1619 | 13.63657 9.616555 1.42 0.156 -5.221558 32.49469 + 1620 | 12.22024 11.59949 1.05 0.292 -10.52643 34.96691 + 1698 | 9.186869 10.97271 0.84 0.403 -12.33069 30.70443 + 1699 | 16.45585 8.065833 2.04 0.041 .6386953 32.273 + 1700 | 15.40671 8.530799 1.81 0.071 -1.322242 32.13566 + 1701 | 4.093485 7.947293 0.52 0.607 -11.49121 19.67818 + 1704 | 8.938144 9.588858 0.93 0.351 -9.865667 27.74196 + 1705 | -4.21295 11.58975 -0.36 0.716 -26.94052 18.51462 + 1706 | 2.376941 7.87776 0.30 0.763 -13.0714 17.82528 + 1707 | 12.59238 8.831854 1.43 0.154 -4.72694 29.9117 + 1708 | 17.31704 8.979306 1.93 0.054 -.2914377 34.92552 + 1709 | 11.85266 7.702407 1.54 0.124 -3.251813 26.95712 + 1798 | 15.41621 8.003763 1.93 0.054 -.2792205 31.11164 + 1799 | 13.88604 10.84581 1.28 0.201 -7.382657 35.15474 + 1800 | 3.507321 7.986394 0.44 0.661 -12.15405 19.16869 + 1802 | 14.62618 8.523126 1.72 0.086 -2.087725 31.34008 + 1803 | 7.41807 6.413995 1.16 0.248 -5.159815 19.99596 + 1804 | 1.301301 8.010235 0.16 0.871 -14.40682 17.00942 + 1806 | 20.33785 7.476593 2.72 0.007 5.676209 34.9995 + 1807 | -15.02586 7.493332 -2.01 0.045 -29.72033 -.331392 + 1808 | 12.75011 10.23283 1.25 0.213 -7.316545 32.81676 + 1899 | 21.25332 10.96481 1.94 0.053 -.2487391 42.75538 + 1900 | 9.77209 7.660661 1.28 0.202 -5.250515 24.7947 + 1901 | 22.53639 8.383611 2.69 0.007 6.096071 38.9767 + 1902 | 19.31662 8.269039 2.34 0.020 3.100984 35.53226 + 1905 | 22.2764 7.623863 2.92 0.004 7.325957 37.22685 + 1906 | 6.395702 5.062802 1.26 0.207 -3.532486 16.32389 + 1907 | 21.08898 9.912327 2.13 0.033 1.650846 40.52712 + 1908 | 18.07212 7.897981 2.29 0.022 2.584126 33.56011 + 1909 | 8.133065 9.658562 0.84 0.400 -10.80744 27.07357 + 1910 | 8.817012 10.63759 0.83 0.407 -12.04336 29.67739 + 1911 | 18.13405 8.488062 2.14 0.033 1.488906 34.77919 + 1912 | -9.954687 12.68933 -0.78 0.433 -34.83854 14.92916 + 1914 | 16.65697 8.166565 2.04 0.041 .6422819 32.67165 + 1915 | 27.09579 10.89937 2.49 0.013 5.722059 48.46952 + 1919 | 18.71622 8.873907 2.11 0.035 1.314427 36.11801 + 1920 | 15.8469 7.564129 2.10 0.036 1.013591 30.6802 + 1925 | 24.0356 7.487495 3.21 0.001 9.352576 38.71863 + 1926 | 13.95174 8.373061 1.67 0.096 -2.467883 30.37137 + 1927 | 5.560863 9.162129 0.61 0.544 -12.40613 23.52786 + 1929 | 8.698275 9.168829 0.95 0.343 -9.281858 26.67841 + 1999 | 12.25519 21.77741 0.56 0.574 -30.45045 54.96082 + 2000 | 3.8351 7.69096 0.50 0.618 -11.24692 18.91712 + 2001 | 9.106797 9.750452 0.93 0.350 -10.0139 28.2275 + 2002 | 2.393465 8.01799 0.30 0.765 -13.32986 18.11679 + 2003 | 8.759929 7.799111 1.12 0.261 -6.534177 24.05404 + 2004 | 11.74145 7.969831 1.47 0.141 -3.88744 27.37034 + 2005 | 4.625125 10.54235 0.44 0.661 -16.04848 25.29873 + 2006 | 21.86264 8.877305 2.46 0.014 4.454186 39.27109 + 2007 | 7.509816 8.73956 0.86 0.390 -9.628516 24.64815 + 2008 | 10.36659 7.165078 1.45 0.148 -3.684176 24.41735 + 2009 | 9.242387 8.631155 1.07 0.284 -7.683362 26.16814 + 2010 | 20.55132 7.476129 2.75 0.006 5.890581 35.21205 + 2011 | -.5643616 8.234985 -0.07 0.945 -16.71322 15.5845 + 2012 | 4.639583 7.782151 0.60 0.551 -10.62127 19.90043 + 2013 | 10.40832 8.219492 1.27 0.206 -5.710154 26.5268 + 2014 | 5.772774 8.072563 0.72 0.475 -10.05757 21.60312 + 2015 | 10.83632 8.452056 1.28 0.200 -5.73822 27.41085 + 2030 | 2.660901 13.30976 0.20 0.842 -23.43962 28.76142 + 2099 | 11.41298 10.14308 1.13 0.261 -8.477662 31.30362 + 2100 | -3.656603 9.603665 -0.38 0.703 -22.48945 15.17625 + 2101 | 5.543367 7.643306 0.73 0.468 -9.445205 20.53194 + 2102 | 1.472307 7.408331 0.20 0.842 -13.05548 16.00009 + 2103 | .1630751 7.541716 0.02 0.983 -14.62628 14.95243 + 2104 | -4.658123 7.713497 -0.60 0.546 -19.78434 10.46809 + 2105 | -4.95548 10.75151 -0.46 0.645 -26.03927 16.12831 + 2199 | -23.99857 7.468648 -3.21 0.001 -38.64464 -9.352505 + 9999 | 15.11889 8.181773 1.85 0.065 -.9256209 31.1634 + | + house_administration | 4.670664 2.076746 2.25 0.025 .5981508 8.743177 + house_agriculture | 4.786895 1.628734 2.94 0.003 1.592937 7.980852 + house_appropriations | -14.72107 2.666959 -5.52 0.000 -19.951 -9.491146 + house_armedservices | -.4013874 1.954354 -0.21 0.837 -4.233888 3.431113 + house_budget | 4.977587 2.161554 2.30 0.021 .7387667 9.216408 + house_dc | -8.55921 5.013157 -1.71 0.088 -18.39004 1.271623 + house_educlabor | 3.688752 1.48416 2.49 0.013 .7783041 6.5992 + house_energycommerce | 4.034391 .8274521 4.88 0.000 2.411752 5.65703 + house_foreignaffairs | 7.52843 1.84606 4.08 0.000 3.908295 11.14856 + house_governmentop | -.767796 3.519544 -0.22 0.827 -7.669645 6.134053 + house_intelligence | 13.84199 4.881244 2.84 0.005 4.269836 23.41414 + house_interior | .0055253 2.359538 0.00 0.998 -4.621543 4.632594 + house_judiciary | .9009124 .9465731 0.95 0.341 -.9553234 2.757148 + house_mmf | -1.391463 3.125321 -0.45 0.656 -7.520238 4.737311 + house_pocs | -.4364107 4.909504 -0.09 0.929 -10.06398 9.191157 + house_pwt | 4.444539 1.824694 2.44 0.015 .866302 8.022776 + house_rules | 3.038693 1.945673 1.56 0.118 -.7767837 6.854169 + house_sst | 10.14267 3.388886 2.99 0.003 3.497046 16.7883 + house_smallbusi | 1.782931 3.213787 0.55 0.579 -4.519327 8.085188 + house_soc | 4.663845 4.773929 0.98 0.329 -4.697861 14.02555 + house_veterans | -1.11348 2.292548 -0.49 0.627 -5.609182 3.382222 + house_waysandmeans | -.5074779 1.025758 -0.49 0.621 -2.518995 1.50404 +house_naturalresources | -.4784911 1.920906 -0.25 0.803 -4.2454 3.288418 + house_bfs | .6256744 1.82764 0.34 0.732 -2.958339 4.209688 + house_eeo | 3.973836 2.24356 1.77 0.077 -.425799 8.37347 + house_govreform | 5.464873 1.177787 4.64 0.000 3.155226 7.774521 + house_ir | 3.86618 2.101437 1.84 0.066 -.2547518 7.987112 + house_natsecur | -2.475631 3.323731 -0.74 0.456 -8.993488 4.042226 + house_oversight | .5038687 1.655369 0.30 0.761 -2.74232 3.750058 + house_resources | -1.02219 2.224431 -0.46 0.646 -5.384314 3.339934 + house_science | -3.536775 1.698776 -2.08 0.037 -6.868086 -.2054649 + house_transp | -.3909017 1.301143 -0.30 0.764 -2.942451 2.160648 + house_homeland | 2.109494 2.635224 0.80 0.424 -3.058197 7.277185 + _cons | 17.76131 7.443018 2.39 0.017 3.1655 32.35711 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,278 1 0 1 1 + + +j = 4 k = 3 + + +rdbwselect_2014 pct_cosponsors_ten_5p MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5802 +----------------------+---------------------- NN matches = 3 + Number of obs | 3957 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 11.48228 19.59772 .5858987 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(6,677 missing values generated) +(54,574 missing values generated) +(47,897 real changes made) +reg pct_cosponsors_ten_5p sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==200 & tag_bill==1, robust cluster(group_sponsor) +(sum of wgt is 52,059.5671650171) + +Linear regression Number of obs = 26,085 + F(267, 2120) = . + Prob > F = . + R-squared = 0.1747 + Root MSE = 22.605 + + (Std. Err. adjusted for 2,121 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + pct_cosponsors_ten_5p | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | .1968712 .7502911 0.26 0.793 -1.274512 1.668255 + | + v2 | + 102 | 4.662018 1.682102 2.77 0.006 1.363275 7.960762 + 103 | -1.630325 1.785011 -0.91 0.361 -5.130881 1.870231 + 104 | -4.478981 1.670015 -2.68 0.007 -7.75402 -1.203942 + 105 | -3.886065 1.407868 -2.76 0.006 -6.647012 -1.125118 + 106 | -2.345176 1.557822 -1.51 0.132 -5.400196 .7098433 + 107 | 1.44165 1.778874 0.81 0.418 -2.04687 4.93017 + 108 | 5.554729 1.710377 3.25 0.001 2.200537 8.908922 + 109 | 7.055223 1.557764 4.53 0.000 4.000317 10.11013 + 110 | 1.154274 2.139871 0.54 0.590 -3.042191 5.350739 + 111 | 4.488151 1.843975 2.43 0.015 .8719614 8.10434 + | + minor | + 101 | -4.499903 6.079795 -0.74 0.459 -16.42289 7.423083 + 103 | -6.510473 12.66123 -0.51 0.607 -31.3402 18.31925 + 104 | -8.237329 6.974116 -1.18 0.238 -21.91415 5.439495 + 105 | -2.723263 5.254676 -0.52 0.604 -13.02812 7.581595 + 107 | -.1264965 4.188079 -0.03 0.976 -8.33967 8.086677 + 108 | 11.48019 6.140489 1.87 0.062 -.5618248 23.5222 + 110 | -9.768467 12.72446 -0.77 0.443 -34.7222 15.18527 + 200 | 3.698124 5.544031 0.67 0.505 -7.174185 14.57043 + 201 | -1.650573 11.57191 -0.14 0.887 -24.34406 21.04292 + 202 | -3.44729 6.470136 -0.53 0.594 -16.13577 9.241187 + 204 | -6.762411 8.736 -0.77 0.439 -23.89444 10.36962 + 205 | 8.925387 7.637168 1.17 0.243 -6.051739 23.90251 + 206 | -.9881023 5.59498 -0.18 0.860 -11.96033 9.984121 + 207 | -10.10058 6.812144 -1.48 0.138 -23.45977 3.258605 + 208 | -1.941836 5.018405 -0.39 0.699 -11.78335 7.899675 + 209 | -37.2727 4.132866 -9.02 0.000 -45.3776 -29.16781 + 299 | 13.48126 5.532144 2.44 0.015 2.632262 24.33026 + 300 | 2.499122 5.9479 0.42 0.674 -9.165207 14.16345 + 301 | .9422216 4.845843 0.19 0.846 -8.560882 10.44532 + 302 | -.983946 4.690302 -0.21 0.834 -10.18202 8.214128 + 321 | 11.5374 4.910626 2.35 0.019 1.90725 21.16755 + 322 | .6383821 5.413336 0.12 0.906 -9.977623 11.25439 + 323 | -5.757298 5.502533 -1.05 0.296 -16.54822 5.03363 + 324 | -4.064769 5.637932 -0.72 0.471 -15.12123 6.991688 + 325 | -.9770881 6.939142 -0.14 0.888 -14.58533 12.63115 + 331 | 6.099539 4.72095 1.29 0.196 -3.158638 15.35772 + 332 | 7.212687 4.957012 1.46 0.146 -2.508428 16.9338 + 333 | 11.57823 7.861429 1.47 0.141 -3.838685 26.99515 + 334 | 8.385065 5.097938 1.64 0.100 -1.612419 18.38255 + 335 | -8.180501 6.585219 -1.24 0.214 -21.09467 4.733663 + 336 | 1.528097 5.831317 0.26 0.793 -9.907603 12.9638 + 341 | 4.944811 5.765975 0.86 0.391 -6.362747 16.25237 + 342 | 9.194969 11.40476 0.81 0.420 -13.17071 31.56065 + 343 | 1.348494 6.461877 0.21 0.835 -11.32379 14.02077 + 344 | 17.99237 5.531928 3.25 0.001 7.143796 28.84094 + 398 | 6.528966 6.1844 1.06 0.291 -5.59916 18.65709 + 399 | 6.440752 5.77143 1.12 0.265 -4.877504 17.75901 + 400 | -12.9663 5.285162 -2.45 0.014 -23.33095 -2.601659 + 401 | -12.90138 4.78238 -2.70 0.007 -22.28003 -3.522732 + 402 | -7.211674 4.524572 -1.59 0.111 -16.08474 1.66139 + 403 | -3.437632 4.839614 -0.71 0.478 -12.92852 6.053256 + 404 | .3255948 4.930818 0.07 0.947 -9.344151 9.995341 + 405 | 11.22416 6.451386 1.74 0.082 -1.427548 23.87587 + 498 | -12.77508 6.589558 -1.94 0.053 -25.69776 .1475916 + 499 | -8.770955 6.839089 -1.28 0.200 -22.18298 4.64107 + 500 | 5.511156 7.655288 0.72 0.472 -9.501504 20.52382 + 501 | -2.832766 5.186501 -0.55 0.585 -13.00393 7.338396 + 502 | 3.165475 4.797975 0.66 0.509 -6.243756 12.57471 + 503 | -2.0458 4.772547 -0.43 0.668 -11.40516 7.313564 + 504 | 5.787275 4.349671 1.33 0.183 -2.742795 14.31734 + 505 | -7.252653 4.985043 -1.45 0.146 -17.02874 2.523433 + 506 | -9.795634 7.471526 -1.31 0.190 -24.44792 4.856654 + 508 | -10.80079 5.60985 -1.93 0.054 -21.80218 .2005948 + 529 | -7.904056 7.128294 -1.11 0.268 -21.88324 6.075125 + 530 | -1.508917 4.896581 -0.31 0.758 -11.11152 8.093688 + 599 | -3.628669 11.0766 -0.33 0.743 -25.35081 18.09347 + 600 | -5.609967 5.182305 -1.08 0.279 -15.7729 4.552966 + 601 | -.3419474 4.487218 -0.08 0.939 -9.141756 8.457862 + 602 | -4.486863 4.477068 -1.00 0.316 -13.26677 4.293042 + 603 | 4.090423 5.730765 0.71 0.475 -7.148086 15.32893 + 604 | -13.00556 9.554176 -1.36 0.174 -31.7421 5.730977 + 606 | -4.969854 5.565586 -0.89 0.372 -15.88443 5.944725 + 607 | 1.935837 5.851556 0.33 0.741 -9.539553 13.41123 + 609 | -6.025393 7.563116 -0.80 0.426 -20.8573 8.806509 + 698 | -9.72916 11.83395 -0.82 0.411 -32.93652 13.4782 + 699 | -12.72979 7.935136 -1.60 0.109 -28.29126 2.831674 + 700 | -10.84979 4.990366 -2.17 0.030 -20.63632 -1.063266 + 701 | -1.658257 5.994577 -0.28 0.782 -13.41412 10.09761 + 703 | -3.594789 5.04218 -0.71 0.476 -13.48292 6.293348 + 704 | -8.585861 5.673045 -1.51 0.130 -19.71118 2.539456 + 705 | -3.397339 5.417708 -0.63 0.531 -14.02192 7.22724 + 707 | -17.54213 5.820956 -3.01 0.003 -28.95751 -6.126748 + 708 | -.057642 6.44767 -0.01 0.993 -12.70206 12.58678 + 709 | -5.77537 4.053831 -1.42 0.154 -13.72527 2.174531 + 710 | -6.297114 5.318902 -1.18 0.237 -16.72793 4.133697 + 711 | -5.543864 5.076095 -1.09 0.275 -15.49851 4.410782 + 798 | -.9453599 6.04043 -0.16 0.876 -12.79115 10.90043 + 799 | -2.130497 4.597549 -0.46 0.643 -11.14668 6.885682 + 800 | -6.750844 6.134196 -1.10 0.271 -18.78052 5.278827 + 801 | -6.883289 5.89902 -1.17 0.243 -18.45176 4.685183 + 802 | -13.39956 4.495564 -2.98 0.003 -22.21573 -4.583379 + 803 | -2.52467 4.43577 -0.57 0.569 -11.22359 6.174246 + 805 | -15.83789 6.18626 -2.56 0.011 -27.96967 -3.706119 + 806 | -5.708914 5.153884 -1.11 0.268 -15.81611 4.398284 + 807 | -.9353116 4.866026 -0.19 0.848 -10.47799 8.607372 + 898 | 2.525084 11.06783 0.23 0.820 -19.17985 24.23002 + 899 | 4.259629 7.855668 0.54 0.588 -11.14599 19.66525 + 1000 | -2.644906 6.693111 -0.40 0.693 -15.77066 10.48084 + 1001 | 13.1334 6.272986 2.09 0.036 .8315533 25.43525 + 1002 | -3.765631 4.675442 -0.81 0.421 -12.93456 5.403302 + 1003 | -5.799389 4.633899 -1.25 0.211 -14.88685 3.288073 + 1005 | -2.63986 5.534515 -0.48 0.633 -13.49351 8.213786 + 1006 | -1.280404 5.270463 -0.24 0.808 -11.61622 9.055415 + 1007 | -8.794399 4.016217 -2.19 0.029 -16.67054 -.9182618 + 1010 | 6.48656 8.016149 0.81 0.418 -9.233779 22.2069 + 1098 | -.5959294 12.31025 -0.05 0.961 -24.73736 23.5455 + 1099 | -10.58075 13.6755 -0.77 0.439 -37.39955 16.23806 + 1200 | 5.452916 11.75873 0.46 0.643 -17.60694 28.51278 + 1201 | -.1772866 5.935522 -0.03 0.976 -11.81734 11.46277 + 1202 | -1.139978 6.040692 -0.19 0.850 -12.98628 10.70632 + 1203 | .3468429 4.49168 0.08 0.938 -8.461717 9.155403 + 1204 | -.3329102 4.386625 -0.08 0.940 -8.935448 8.269627 + 1205 | -10.18415 4.890933 -2.08 0.037 -19.77567 -.5926176 + 1206 | -.6177826 5.379912 -0.11 0.909 -11.16824 9.932674 + 1207 | -2.18753 4.802936 -0.46 0.649 -11.60649 7.231429 + 1208 | 5.707147 4.710428 1.21 0.226 -3.530397 14.94469 + 1209 | -1.896167 4.569076 -0.42 0.678 -10.85651 7.064173 + 1210 | -1.003654 4.707754 -0.21 0.831 -10.23595 8.228645 + 1211 | -8.539999 5.658316 -1.51 0.131 -19.63643 2.556432 + 1299 | 5.624448 12.90926 0.44 0.663 -19.69169 30.94059 + 1300 | 6.568817 6.35903 1.03 0.302 -5.901773 19.03941 + 1301 | 10.85616 7.390986 1.47 0.142 -3.638178 25.35051 + 1302 | 9.570671 5.173766 1.85 0.064 -.5755165 19.71686 + 1303 | -4.842356 6.024527 -0.80 0.422 -16.65696 6.972244 + 1304 | 1.630333 6.894007 0.24 0.813 -11.88939 15.15006 + 1305 | -14.23355 11.50957 -1.24 0.216 -36.80477 8.337672 + 1399 | -7.970777 8.850625 -0.90 0.368 -25.32759 9.386038 + 1400 | 1.777785 4.823283 0.37 0.712 -7.681076 11.23665 + 1401 | -2.750241 4.713168 -0.58 0.560 -11.99316 6.492675 + 1403 | 10.62915 7.531597 1.41 0.158 -4.140946 25.39924 + 1404 | -20.40298 7.348981 -2.78 0.006 -34.81494 -5.991009 + 1405 | -15.15692 6.741514 -2.25 0.025 -28.3776 -1.936252 + 1406 | -4.761647 5.392477 -0.88 0.377 -15.33674 5.813451 + 1407 | 3.703058 8.541753 0.43 0.665 -13.04803 20.45415 + 1408 | 5.513973 8.850238 0.62 0.533 -11.84208 22.87003 + 1409 | 3.663058 7.342145 0.50 0.618 -10.7355 18.06162 + 1410 | 5.960525 5.589463 1.07 0.286 -5.000879 16.92193 + 1499 | -8.473147 8.114667 -1.04 0.297 -24.38669 7.440393 + 1500 | -1.434379 5.252422 -0.27 0.785 -11.73482 8.86606 + 1501 | -.3537835 4.608313 -0.08 0.939 -9.39107 8.683503 + 1502 | .1724032 4.72546 0.04 0.971 -9.09462 9.439426 + 1504 | -8.110554 5.53331 -1.47 0.143 -18.96184 2.740729 + 1505 | 10.43293 5.138422 2.03 0.042 .3560562 20.50981 + 1507 | -6.964711 6.01715 -1.16 0.247 -18.76485 4.835423 + 1520 | -1.936231 5.501789 -0.35 0.725 -12.7257 8.853236 + 1521 | -1.483108 5.063933 -0.29 0.770 -11.4139 8.447689 + 1522 | 7.705829 4.821693 1.60 0.110 -1.749914 17.16157 + 1523 | -1.061303 4.687761 -0.23 0.821 -10.25439 8.131787 + 1524 | 2.236006 4.534858 0.49 0.622 -6.65723 11.12924 + 1525 | -5.601166 6.299849 -0.89 0.374 -17.9557 6.753365 + 1526 | 3.261326 4.685051 0.70 0.486 -5.92645 12.4491 + 1599 | 4.932423 5.072207 0.97 0.331 -5.0146 14.87945 + 1600 | -1.852856 7.965311 -0.23 0.816 -17.4735 13.76778 + 1602 | -1.026814 14.10923 -0.07 0.942 -28.6962 26.64257 + 1603 | -1.460172 6.278202 -0.23 0.816 -13.77225 10.85191 + 1604 | 3.489388 6.027891 0.58 0.563 -8.331811 15.31059 + 1605 | 6.21421 5.843517 1.06 0.288 -5.245415 17.67384 + 1606 | -11.83773 12.65005 -0.94 0.349 -36.64554 12.97009 + 1608 | -.3129927 4.651552 -0.07 0.946 -9.435075 8.80909 + 1609 | -3.308561 5.377584 -0.62 0.538 -13.85445 7.237331 + 1610 | 7.022285 6.425362 1.09 0.275 -5.578387 19.62296 + 1611 | -6.377557 6.469228 -0.99 0.324 -19.06425 6.30914 + 1612 | .0405706 5.480182 0.01 0.994 -10.70653 10.78767 + 1614 | -26.27541 6.07159 -4.33 0.000 -38.1823 -14.36851 + 1615 | -7.686163 5.107259 -1.50 0.132 -17.70193 2.3296 + 1616 | -6.878325 7.336665 -0.94 0.349 -21.26614 7.509489 + 1617 | 4.578913 6.891167 0.66 0.506 -8.935242 18.09307 + 1619 | -4.396071 4.110184 -1.07 0.285 -12.45649 3.664343 + 1620 | -8.650288 5.830861 -1.48 0.138 -20.08509 2.784518 + 1698 | -18.76173 9.752185 -1.92 0.055 -37.88658 .363123 + 1699 | -1.812967 6.978344 -0.26 0.795 -15.49808 11.87215 + 1700 | 2.302834 5.893977 0.39 0.696 -9.255747 13.86142 + 1701 | -7.932661 5.48821 -1.45 0.148 -18.6955 2.830178 + 1704 | 13.45572 10.85052 1.24 0.215 -7.823062 34.73449 + 1705 | -16.15691 11.13102 -1.45 0.147 -37.98577 5.671952 + 1706 | 6.641412 4.684477 1.42 0.156 -2.54524 15.82806 + 1707 | 2.187379 5.504085 0.40 0.691 -8.606592 12.98135 + 1708 | 1.295828 5.161827 0.25 0.802 -8.826947 11.4186 + 1709 | 5.892357 5.111084 1.15 0.249 -4.130906 15.91562 + 1798 | 3.530541 5.866986 0.60 0.547 -7.975109 15.03619 + 1799 | -12.10207 7.832353 -1.55 0.122 -27.46197 3.257833 + 1800 | -6.664295 6.641677 -1.00 0.316 -19.68918 6.360589 + 1802 | 1.69895 5.542296 0.31 0.759 -9.169956 12.56786 + 1803 | 4.448117 5.885727 0.76 0.450 -7.094287 15.99052 + 1804 | 4.98933 5.500395 0.91 0.364 -5.797404 15.77606 + 1806 | 7.867556 5.739687 1.37 0.171 -3.388449 19.12356 + 1807 | -27.43136 4.249528 -6.46 0.000 -35.76504 -19.09768 + 1808 | 1.843525 5.916399 0.31 0.755 -9.759028 13.44608 + 1899 | -1.755058 13.53964 -0.13 0.897 -28.30743 24.79732 + 1900 | -4.710715 5.528285 -0.85 0.394 -15.55214 6.130714 + 1901 | -1.71284 5.667442 -0.30 0.763 -12.82717 9.401487 + 1902 | -.0747311 5.783695 -0.01 0.990 -11.41704 11.26758 + 1905 | -1.744481 10.11262 -0.17 0.863 -21.57618 18.08722 + 1906 | 11.30894 7.438485 1.52 0.129 -3.278553 25.89643 + 1907 | 1.387901 11.43961 0.12 0.903 -21.04612 23.82193 + 1908 | 14.35708 9.57632 1.50 0.134 -4.422883 33.13705 + 1909 | 5.531525 10.93526 0.51 0.613 -15.91342 26.97647 + 1910 | 12.71071 5.986425 2.12 0.034 .9708267 24.45059 + 1911 | 12.31149 10.01796 1.23 0.219 -7.33457 31.95755 + 1912 | -32.40776 5.285227 -6.13 0.000 -42.77253 -22.04299 + 1914 | -5.456509 5.552246 -0.98 0.326 -16.34493 5.43191 + 1915 | 2.781441 11.6618 0.24 0.812 -20.08832 25.6512 + 1919 | 5.653975 5.909139 0.96 0.339 -5.934341 17.24229 + 1920 | 4.316919 5.731524 0.75 0.451 -6.923079 15.55692 + 1925 | 12.49776 5.179007 2.41 0.016 2.341298 22.65423 + 1926 | -1.953222 4.721767 -0.41 0.679 -11.213 7.306557 + 1927 | 4.392874 4.82003 0.91 0.362 -5.059609 13.84536 + 1929 | 6.304789 5.586001 1.13 0.259 -4.649825 17.2594 + 1999 | -4.884787 10.15779 -0.48 0.631 -24.80505 15.03548 + 2000 | -12.87055 4.214802 -3.05 0.002 -21.13613 -4.604971 + 2001 | -15.14111 6.36523 -2.38 0.017 -27.62386 -2.658361 + 2002 | -7.570062 4.453801 -1.70 0.089 -16.30434 1.164214 + 2003 | 6.164554 5.218964 1.18 0.238 -4.070271 16.39938 + 2004 | -7.995084 6.797668 -1.18 0.240 -21.32588 5.335711 + 2005 | -1.870772 8.883059 -0.21 0.833 -19.29119 15.54965 + 2006 | 12.70905 4.297731 2.96 0.003 4.280837 21.13726 + 2007 | .8899463 5.037449 0.18 0.860 -8.988911 10.7688 + 2008 | 2.708129 4.43268 0.61 0.541 -5.984728 11.40098 + 2009 | -10.4977 5.842243 -1.80 0.072 -21.95482 .9594276 + 2011 | -10.84535 4.12547 -2.63 0.009 -18.93574 -2.754961 + 2012 | -8.588649 4.298037 -2.00 0.046 -17.01746 -.1598399 + 2013 | -5.381723 7.383811 -0.73 0.466 -19.86199 9.098548 + 2014 | -9.385631 7.122591 -1.32 0.188 -23.35363 4.582365 + 2015 | -1.409502 6.111534 -0.23 0.818 -13.39473 10.57573 + 2030 | -.3035049 7.97019 -0.04 0.970 -15.93371 15.32671 + 2099 | -7.193083 5.798951 -1.24 0.215 -18.56531 4.179144 + 2100 | -8.621792 5.989756 -1.44 0.150 -20.3682 3.12462 + 2101 | -5.822404 4.270808 -1.36 0.173 -14.19782 2.553008 + 2102 | -8.521097 4.263935 -2.00 0.046 -16.88303 -.1591647 + 2103 | -15.69527 4.122783 -3.81 0.000 -23.78039 -7.61015 + 2104 | -14.76763 4.369147 -3.38 0.001 -23.3359 -6.199371 + 2105 | -8.53295 6.641259 -1.28 0.199 -21.55701 4.491115 + 2199 | -8.139279 11.52596 -0.71 0.480 -30.74265 14.46409 + 9999 | -12.64921 6.786929 -1.86 0.062 -25.95895 .6605253 + | + house_administration | -3.261352 2.340886 -1.39 0.164 -7.852025 1.329321 + house_agriculture | 4.427356 1.756947 2.52 0.012 .9818356 7.872876 + house_appropriations | -1.701015 2.683837 -0.63 0.526 -6.964244 3.562213 + house_armedservices | -2.482565 1.958897 -1.27 0.205 -6.324126 1.358997 + house_budget | -.8552615 2.169214 -0.39 0.693 -5.109271 3.398748 + house_dc | 22.5075 7.767841 2.90 0.004 7.274116 37.74089 + house_educlabor | 1.219397 1.203515 1.01 0.311 -1.140796 3.579591 + house_energycommerce | 3.500735 1.137058 3.08 0.002 1.270868 5.730601 + house_foreignaffairs | 2.670453 3.506503 0.76 0.446 -4.206093 9.547 + house_governmentop | 2.952607 1.937003 1.52 0.128 -.846017 6.751231 + house_intelligence | 3.046836 4.485169 0.68 0.497 -5.748954 11.84263 + house_interior | -1.93017 2.735844 -0.71 0.481 -7.295389 3.435049 + house_judiciary | 1.039319 .9188096 1.13 0.258 -.7625433 2.841182 + house_mmf | 4.140064 2.816511 1.47 0.142 -1.383349 9.663477 + house_pocs | 4.143652 4.314866 0.96 0.337 -4.318162 12.60547 + house_pwt | .8906732 3.360374 0.27 0.791 -5.699302 7.480648 + house_rules | .4125892 1.890832 0.22 0.827 -3.29549 4.120668 + house_sst | 4.631319 4.936491 0.94 0.348 -5.049552 14.31219 + house_smallbusi | -9.420466 3.299899 -2.85 0.004 -15.89184 -2.949088 + house_soc | -.926046 5.465017 -0.17 0.865 -11.6434 9.791308 + house_veterans | 1.915382 2.101508 0.91 0.362 -2.20585 6.036615 + house_waysandmeans | 1.608935 .9664494 1.66 0.096 -.2863533 3.504223 +house_naturalresources | -.8650942 2.040402 -0.42 0.672 -4.866493 3.136305 + house_bfs | .1270529 1.401712 0.09 0.928 -2.621822 2.875927 + house_eeo | -2.024913 1.838534 -1.10 0.271 -5.630432 1.580607 + house_govreform | 1.474534 1.266076 1.16 0.244 -1.008347 3.957415 + house_ir | 1.951025 3.079215 0.63 0.526 -4.087574 7.989624 + house_natsecur | -1.821364 2.435832 -0.75 0.455 -6.598235 2.955507 + house_oversight | .8337847 1.872171 0.45 0.656 -2.837699 4.505268 + house_resources | -2.320368 1.452026 -1.60 0.110 -5.167913 .5271765 + house_science | 1.323718 1.906416 0.69 0.488 -2.414923 5.06236 + house_transp | 1.911762 1.417048 1.35 0.177 -.8671884 4.690712 + house_homeland | -.7478188 2.723491 -0.27 0.784 -6.088812 4.593175 + _cons | 29.17816 3.861157 7.56 0.000 21.60611 36.75021 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,121 1 0 1 1 + + +j = 5 k = 1 + + +rdbwselect_2014 pct_cosponsors_ten_5p MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11988 +----------------------+---------------------- NN matches = 3 + Number of obs | 6149 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 21.37807 36.22071 .5902168 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(7,341 missing values generated) +(54,749 missing values generated) +(47,408 real changes made) +reg pct_cosponsors_ten_5p sponsor_female i.v2 i.minor house_* [aw=wt] if tag_bill==1, robust cluster(group_sponsor) +(sum of wgt is 111,675.458616614) + +Linear regression Number of obs = 55,003 + F(268, 4357) = . + Prob > F = . + R-squared = 0.1576 + Root MSE = 24.269 + + (Std. Err. adjusted for 4,358 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + pct_cosponsors_ten_5p | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | .0265278 .735911 0.04 0.971 -1.416232 1.469288 + | + v2 | + 102 | 6.027563 1.655519 3.64 0.000 2.781905 9.273222 + 103 | -4.905006 2.6761 -1.83 0.067 -10.15152 .3415114 + 104 | -2.080705 2.05708 -1.01 0.312 -6.113627 1.952217 + 105 | -1.859831 1.65658 -1.12 0.262 -5.107571 1.387909 + 106 | -2.242335 1.647734 -1.36 0.174 -5.472733 .9880621 + 107 | 6.361787 1.807255 3.52 0.000 2.818648 9.904926 + 108 | 9.95599 1.767541 5.63 0.000 6.49071 13.42127 + 109 | 11.27269 1.923377 5.86 0.000 7.501892 15.04349 + 110 | 9.684619 1.929865 5.02 0.000 5.901103 13.46813 + 111 | 7.04494 2.119894 3.32 0.001 2.88887 11.20101 + | + minor | + 101 | 7.933047 6.231317 1.27 0.203 -4.283503 20.1496 + 103 | -12.32891 7.533091 -1.64 0.102 -27.0976 2.439775 + 104 | 10.92244 6.576858 1.66 0.097 -1.971543 23.81643 + 105 | 13.02411 5.145186 2.53 0.011 2.936931 23.11129 + 107 | 11.08956 5.156883 2.15 0.032 .9794514 21.19968 + 108 | 20.31267 6.180935 3.29 0.001 8.194899 32.43045 + 110 | 10.153 10.91685 0.93 0.352 -11.24957 31.55557 + 200 | 20.12134 5.977307 3.37 0.001 8.402781 31.8399 + 201 | 13.05811 6.204219 2.10 0.035 .894681 25.22153 + 202 | 27.30619 8.511565 3.21 0.001 10.61919 43.99319 + 204 | -10.76635 7.579088 -1.42 0.156 -25.62521 4.092519 + 205 | 22.41518 6.579355 3.41 0.001 9.516302 35.31407 + 206 | 10.22341 5.898246 1.73 0.083 -1.340156 21.78697 + 207 | 20.80047 5.503226 3.78 0.000 10.01135 31.5896 + 208 | 9.137634 5.23136 1.75 0.081 -1.118492 19.39376 + 209 | -.8057868 17.63167 -0.05 0.964 -35.37284 33.76126 + 299 | 24.79129 5.84017 4.24 0.000 13.34159 36.241 + 300 | 17.69556 5.567725 3.18 0.001 6.779993 28.61114 + 301 | 18.13068 5.409487 3.35 0.001 7.525334 28.73603 + 302 | 13.60451 5.471182 2.49 0.013 2.878212 24.33081 + 321 | 23.90946 5.981169 4.00 0.000 12.18333 35.63559 + 322 | 13.65917 6.123728 2.23 0.026 1.653546 25.66479 + 323 | 14.35923 5.921351 2.42 0.015 2.750373 25.96809 + 324 | 12.98336 5.498052 2.36 0.018 2.204383 23.76234 + 325 | 15.91165 6.646282 2.39 0.017 2.881555 28.94174 + 331 | 22.3629 6.287003 3.56 0.000 10.03717 34.68862 + 332 | 17.36207 5.367431 3.23 0.001 6.839179 27.88497 + 333 | 24.7201 5.785423 4.27 0.000 13.37773 36.06247 + 334 | 22.91503 5.787993 3.96 0.000 11.56762 34.26243 + 335 | 11.34494 5.987988 1.89 0.058 -.3945636 23.08444 + 336 | 21.63402 5.595441 3.87 0.000 10.66411 32.60393 + 341 | 24.8281 6.285232 3.95 0.000 12.50585 37.15035 + 342 | 12.832 7.504804 1.71 0.087 -1.88123 27.54523 + 343 | 18.50081 5.359923 3.45 0.001 7.992633 29.00899 + 344 | 13.74693 6.628323 2.07 0.038 .7520482 26.74182 + 398 | 17.11824 7.60482 2.25 0.024 2.208921 32.02755 + 399 | 14.70129 4.927694 2.98 0.003 5.040508 24.36208 + 400 | 10.7445 5.963079 1.80 0.072 -.9461666 22.43517 + 401 | .5743575 6.098102 0.09 0.925 -11.38102 12.52974 + 402 | 12.45351 4.792831 2.60 0.009 3.057126 21.8499 + 403 | 15.93222 5.614038 2.84 0.005 4.925846 26.93859 + 404 | 17.53342 5.686048 3.08 0.002 6.385873 28.68097 + 405 | 19.393 6.370229 3.04 0.002 6.904114 31.88189 + 498 | 18.35406 11.08217 1.66 0.098 -3.372632 40.08076 + 499 | 17.48754 8.467912 2.07 0.039 .8861278 34.08896 + 500 | 13.90571 12.36195 1.12 0.261 -10.32999 38.14141 + 501 | 8.136681 5.311906 1.53 0.126 -2.277355 18.55072 + 502 | 6.758867 8.593933 0.79 0.432 -10.08961 23.60735 + 503 | 9.781531 5.832414 1.68 0.094 -1.652967 21.21603 + 504 | 10.46088 5.792202 1.81 0.071 -.8947794 21.81654 + 505 | 9.212546 4.906846 1.88 0.061 -.4073672 18.83246 + 506 | 18.02317 5.914969 3.05 0.002 6.426821 29.61952 + 508 | 14.92363 6.030773 2.47 0.013 3.100245 26.74701 + 529 | 17.40136 7.707953 2.26 0.024 2.289851 32.51287 + 530 | 15.36673 5.346874 2.87 0.004 4.884139 25.84932 + 599 | 17.865 8.428604 2.12 0.034 1.340648 34.38935 + 600 | 11.89428 5.2213 2.28 0.023 1.657877 22.13068 + 601 | 12.73409 4.963293 2.57 0.010 3.00351 22.46467 + 602 | 12.79989 4.767542 2.68 0.007 3.453078 22.14669 + 603 | 13.34859 5.171504 2.58 0.010 3.209812 23.48737 + 604 | 4.310947 6.596797 0.65 0.513 -8.62213 17.24402 + 606 | 11.56084 6.593398 1.75 0.080 -1.365573 24.48726 + 607 | 16.86894 5.189149 3.25 0.001 6.695572 27.04231 + 609 | 18.63089 6.272236 2.97 0.003 6.334119 30.92766 + 698 | 15.91067 9.046944 1.76 0.079 -1.825941 33.64728 + 699 | 13.29211 6.125569 2.17 0.030 1.282883 25.30135 + 700 | 9.100691 5.616649 1.62 0.105 -1.910798 20.11218 + 701 | 17.99296 5.984669 3.01 0.003 6.259967 29.72596 + 703 | 11.60352 5.455109 2.13 0.033 .9087341 22.29831 + 704 | 5.902242 5.173777 1.14 0.254 -4.240992 16.04548 + 705 | 12.46379 6.230321 2.00 0.046 .2491912 24.67839 + 707 | 7.117036 5.991406 1.19 0.235 -4.629168 18.86324 + 708 | 21.77269 6.574985 3.31 0.001 8.882377 34.66301 + 709 | 13.69695 4.704457 2.91 0.004 4.473823 22.92008 + 710 | 14.97524 4.577023 3.27 0.001 6.001951 23.94854 + 711 | 10.67827 4.927024 2.17 0.030 1.018799 20.33775 + 798 | 15.42037 5.397279 2.86 0.004 4.838961 26.00178 + 799 | 14.97756 5.447708 2.75 0.006 4.297285 25.65784 + 800 | 9.834854 5.304449 1.85 0.064 -.5645631 20.23427 + 801 | 11.5016 6.396141 1.80 0.072 -1.038091 24.04129 + 802 | 3.012311 5.466346 0.55 0.582 -7.704506 13.72913 + 803 | 12.33343 5.009049 2.46 0.014 2.513142 22.15371 + 805 | 4.056811 6.849651 0.59 0.554 -9.371989 17.48561 + 806 | 9.305423 5.474923 1.70 0.089 -1.42821 20.03906 + 807 | 13.7438 5.758635 2.39 0.017 2.453944 25.03365 + 898 | 9.36931 6.395145 1.47 0.143 -3.168427 21.90705 + 899 | 8.785556 8.946095 0.98 0.326 -8.753339 26.32445 + 1000 | 10.91141 5.332835 2.05 0.041 .4563386 21.36648 + 1001 | 17.89598 5.661353 3.16 0.002 6.796853 28.99512 + 1002 | 9.343649 5.108709 1.83 0.067 -.6720194 19.35932 + 1003 | 11.03706 5.186951 2.13 0.033 .867994 21.20612 + 1005 | 15.71932 8.182014 1.92 0.055 -.3215893 31.76023 + 1006 | 15.87942 6.018175 2.64 0.008 4.080738 27.67811 + 1007 | 7.338299 3.404874 2.16 0.031 .6630141 14.01358 + 1010 | 22.49974 5.749978 3.91 0.000 11.22686 33.77263 + 1098 | 10.23974 7.595005 1.35 0.178 -4.65033 25.12981 + 1099 | 6.531035 12.09833 0.54 0.589 -17.18785 30.24992 + 1200 | 17.16192 7.126338 2.41 0.016 3.190676 31.13317 + 1201 | 21.61629 8.218876 2.63 0.009 5.503111 37.72947 + 1202 | 12.31789 6.98812 1.76 0.078 -1.38238 26.01816 + 1203 | 12.49206 4.895316 2.55 0.011 2.894746 22.08937 + 1204 | 8.646526 5.723014 1.51 0.131 -2.573493 19.86654 + 1205 | 11.20621 5.078677 2.21 0.027 1.249424 21.163 + 1206 | 10.02874 5.61798 1.79 0.074 -.9853531 21.04284 + 1207 | 5.337974 7.930391 0.67 0.501 -10.20963 20.88557 + 1208 | 19.92086 5.942779 3.35 0.001 8.269993 31.57173 + 1209 | 13.98213 4.720864 2.96 0.003 4.726837 23.23743 + 1210 | 11.96392 4.980262 2.40 0.016 2.200076 21.72777 + 1211 | 11.01406 5.560849 1.98 0.048 .1119649 21.91615 + 1299 | 10.03731 7.255503 1.38 0.167 -4.187169 24.26178 + 1300 | 16.89609 5.686483 2.97 0.003 5.74769 28.04449 + 1301 | 14.26176 5.696112 2.50 0.012 3.094482 25.42904 + 1302 | 16.2198 5.756404 2.82 0.005 4.934318 27.50528 + 1303 | 15.19272 7.94668 1.91 0.056 -.3868165 30.77225 + 1304 | 18.82338 5.448121 3.46 0.001 8.142294 29.50447 + 1305 | 15.93483 5.236623 3.04 0.002 5.668388 26.20128 + 1399 | 12.57811 8.183473 1.54 0.124 -3.465662 28.62188 + 1400 | 16.22009 5.20918 3.11 0.002 6.007451 26.43273 + 1401 | 14.343 5.348354 2.68 0.007 3.857501 24.82849 + 1403 | 22.60557 5.492477 4.12 0.000 11.83752 33.37362 + 1404 | -4.395371 7.340995 -0.60 0.549 -18.78746 9.996714 + 1405 | 7.621564 5.414346 1.41 0.159 -2.993308 18.23644 + 1406 | 10.48094 8.578729 1.22 0.222 -6.337731 27.29961 + 1407 | 14.71878 6.579578 2.24 0.025 1.819456 27.61809 + 1408 | 18.48127 6.208162 2.98 0.003 6.310116 30.65243 + 1409 | 15.28467 7.549082 2.02 0.043 .484633 30.08471 + 1410 | 14.78487 6.989114 2.12 0.034 1.082653 28.48709 + 1499 | -.7023419 6.855729 -0.10 0.918 -14.14306 12.73837 + 1500 | 1.658252 6.044859 0.27 0.784 -10.19275 13.50925 + 1501 | 13.90197 4.784733 2.91 0.004 4.52146 23.28248 + 1502 | 16.48283 5.068766 3.25 0.001 6.545475 26.42019 + 1504 | 13.44861 5.358098 2.51 0.012 2.944012 23.95321 + 1505 | 15.98333 5.487712 2.91 0.004 5.224625 26.74204 + 1507 | 1.707786 9.561328 0.18 0.858 -17.03728 20.45285 + 1520 | 8.9293 5.101374 1.75 0.080 -1.071987 18.93059 + 1521 | 9.712322 5.506264 1.76 0.078 -1.082756 20.5074 + 1522 | 20.00117 4.981524 4.02 0.000 10.23485 29.76749 + 1523 | 5.330482 6.330998 0.84 0.400 -7.081495 17.74246 + 1524 | 16.41634 8.180626 2.01 0.045 .378149 32.45453 + 1525 | 17.94513 5.658332 3.17 0.002 6.851924 29.03834 + 1526 | 11.44175 5.176255 2.21 0.027 1.293661 21.58985 + 1599 | 23.28189 6.187084 3.76 0.000 11.15206 35.41172 + 1600 | 9.486543 6.192282 1.53 0.126 -2.653478 21.62656 + 1602 | 18.92038 8.282597 2.28 0.022 2.682277 35.15848 + 1603 | 2.10253 5.908187 0.36 0.722 -9.480522 13.68558 + 1604 | 17.41644 8.524642 2.04 0.041 .7038027 34.12907 + 1605 | 21.83266 5.291637 4.13 0.000 11.45836 32.20696 + 1606 | 20.91127 7.179351 2.91 0.004 6.83609 34.98645 + 1608 | 9.038899 6.822547 1.32 0.185 -4.336762 22.41456 + 1609 | 12.32238 5.193029 2.37 0.018 2.141405 22.50336 + 1610 | 22.7263 6.201558 3.66 0.000 10.5681 34.88451 + 1611 | 22.09209 6.237991 3.54 0.000 9.862451 34.32172 + 1612 | 11.93929 5.556093 2.15 0.032 1.046521 22.83206 + 1614 | 4.644882 6.958478 0.67 0.504 -8.997275 18.28704 + 1615 | 8.087422 7.404071 1.09 0.275 -6.428324 22.60317 + 1616 | 1.370109 6.284779 0.22 0.827 -10.95125 13.69147 + 1617 | 2.160415 6.784666 0.32 0.750 -11.14098 15.46181 + 1619 | 7.523777 4.206716 1.79 0.074 -.7235262 15.77108 + 1620 | 12.24362 8.835982 1.39 0.166 -5.079403 29.56663 + 1698 | 6.531578 8.07186 0.81 0.418 -9.293372 22.35653 + 1699 | 18.67378 5.47611 3.41 0.001 7.937816 29.40974 + 1700 | 16.76775 5.850801 2.87 0.004 5.297204 28.23829 + 1701 | 10.43431 5.052251 2.07 0.039 .5293328 20.3393 + 1704 | 30.23669 10.04828 3.01 0.003 10.53694 49.93643 + 1705 | 1.402354 7.677613 0.18 0.855 -13.64967 16.45438 + 1706 | 15.20346 5.361429 2.84 0.005 4.692332 25.71459 + 1707 | 13.6921 6.265548 2.19 0.029 1.408435 25.97576 + 1708 | 18.23721 5.426615 3.36 0.001 7.598288 28.87614 + 1709 | 19.68767 5.094065 3.86 0.000 9.700716 29.67463 + 1798 | 18.5633 5.196113 3.57 0.000 8.376278 28.75032 + 1799 | 9.5492 7.328916 1.30 0.193 -4.819203 23.9176 + 1800 | 17.76842 8.391512 2.12 0.034 1.316792 34.22006 + 1802 | 17.81565 5.410563 3.29 0.001 7.208192 28.4231 + 1803 | 21.63592 5.337767 4.05 0.000 11.17119 32.10066 + 1804 | 14.06676 5.11913 2.75 0.006 4.030664 24.10286 + 1806 | 22.71717 5.335605 4.26 0.000 12.25667 33.17767 + 1807 | -12.14659 5.026708 -2.42 0.016 -22.0015 -2.291691 + 1808 | 15.86608 7.3005 2.17 0.030 1.553384 30.17877 + 1899 | 23.67333 8.707453 2.72 0.007 6.602297 40.74437 + 1900 | 14.19646 4.97215 2.86 0.004 4.448518 23.94441 + 1901 | 13.78039 5.659762 2.43 0.015 2.68438 24.87641 + 1902 | 23.76428 4.893129 4.86 0.000 14.17126 33.3573 + 1905 | 13.72637 9.326132 1.47 0.141 -4.557591 32.01033 + 1906 | 23.84205 7.116534 3.35 0.001 9.890022 37.79407 + 1907 | 11.73368 9.567358 1.23 0.220 -7.023211 30.49056 + 1908 | 29.01186 5.932063 4.89 0.000 17.382 40.64172 + 1909 | 19.74857 7.642757 2.58 0.010 4.764879 34.73226 + 1910 | 24.18621 6.876963 3.52 0.000 10.70387 37.66856 + 1911 | 24.84121 6.240321 3.98 0.000 12.607 37.07541 + 1912 | -3.6629 8.790419 -0.42 0.677 -20.89659 13.57079 + 1914 | 19.37148 5.99502 3.23 0.001 7.618187 31.12476 + 1915 | 25.16891 8.30249 3.03 0.002 8.891806 41.44601 + 1919 | 23.73354 6.22785 3.81 0.000 11.52379 35.94329 + 1920 | 22.18617 4.696572 4.72 0.000 12.9785 31.39384 + 1925 | 27.3663 4.484984 6.10 0.000 18.57345 36.15915 + 1926 | 7.19159 4.308202 1.67 0.095 -1.254678 15.63786 + 1927 | 16.71009 7.287739 2.29 0.022 2.422411 30.99776 + 1929 | 10.36193 5.563266 1.86 0.063 -.5449016 21.26876 + 1999 | 10.13813 11.73563 0.86 0.388 -12.86968 33.14594 + 2000 | 6.275984 6.444141 0.97 0.330 -6.35781 18.90978 + 2001 | 9.962201 7.592273 1.31 0.190 -4.922515 24.84692 + 2002 | 5.364904 4.895677 1.10 0.273 -4.233113 14.96292 + 2003 | 22.71104 7.039079 3.23 0.001 8.910863 36.51121 + 2004 | 9.199068 5.450068 1.69 0.092 -1.485836 19.88397 + 2005 | 10.127 6.800247 1.49 0.137 -3.20494 23.45895 + 2006 | 28.29199 5.111868 5.53 0.000 18.27013 38.31385 + 2007 | 6.10554 7.78144 0.78 0.433 -9.15004 21.36112 + 2008 | 15.5687 4.841377 3.22 0.001 6.077139 25.06026 + 2009 | 10.97855 5.653737 1.94 0.052 -.1056554 22.06275 + 2010 | 24.97016 4.640866 5.38 0.000 15.87171 34.06862 + 2011 | .4139615 4.217175 0.10 0.922 -7.853847 8.68177 + 2012 | 1.922751 4.742562 0.41 0.685 -7.375083 11.22058 + 2013 | 9.9138 6.807383 1.46 0.145 -3.432132 23.25973 + 2014 | 6.193451 5.419782 1.14 0.253 -4.432078 16.81898 + 2015 | 11.5624 5.733519 2.02 0.044 .3217823 22.80301 + 2030 | 13.34845 6.6019 2.02 0.043 .4053688 26.29153 + 2099 | 12.61163 5.894563 2.14 0.032 1.055292 24.16798 + 2100 | 3.061683 5.811346 0.53 0.598 -8.331511 14.45488 + 2101 | 12.06236 4.707223 2.56 0.010 2.833807 21.29091 + 2102 | 5.706539 4.330167 1.32 0.188 -2.782791 14.19587 + 2103 | 1.796637 4.687598 0.38 0.702 -7.393439 10.98671 + 2104 | 1.621441 4.564908 0.36 0.722 -7.328101 10.57098 + 2105 | 2.212467 7.667692 0.29 0.773 -12.82011 17.24504 + 2199 | -7.444924 9.403179 -0.79 0.429 -25.87994 10.99009 + 9999 | 11.67674 5.7033 2.05 0.041 .4953705 22.85811 + | + house_administration | 4.554558 2.493448 1.83 0.068 -.3338686 9.442984 + house_agriculture | 5.158428 1.325532 3.89 0.000 2.559711 7.757144 + house_appropriations | -4.916675 2.770428 -1.77 0.076 -10.34812 .5147721 + house_armedservices | .2715324 1.417838 0.19 0.848 -2.508151 3.051216 + house_budget | 1.106949 1.610323 0.69 0.492 -2.050104 4.264001 + house_dc | 1.509338 4.563177 0.33 0.741 -7.436809 10.45548 + house_educlabor | 4.375059 1.021406 4.28 0.000 2.372584 6.377535 + house_energycommerce | 2.746585 1.299078 2.11 0.035 .1997304 5.293439 + house_foreignaffairs | .3429891 4.258366 0.08 0.936 -8.005575 8.691553 + house_governmentop | 3.081112 1.82778 1.69 0.092 -.5022661 6.66449 + house_intelligence | 8.928329 3.062355 2.92 0.004 2.924555 14.9321 + house_interior | -2.695544 1.7815 -1.51 0.130 -6.18819 .7971017 + house_judiciary | 2.65209 1.295236 2.05 0.041 .1127688 5.191411 + house_mmf | .800098 2.981634 0.27 0.788 -5.045421 6.645617 + house_pocs | 3.747787 1.577369 2.38 0.018 .6553413 6.840233 + house_pwt | 2.444219 1.66506 1.47 0.142 -.820145 5.708583 + house_rules | -.349773 1.527916 -0.23 0.819 -3.345266 2.64572 + house_sst | 5.403253 2.799237 1.93 0.054 -.0846756 10.89118 + house_smallbusi | -8.569754 2.52594 -3.39 0.001 -13.52188 -3.617627 + house_soc | 4.876979 4.444014 1.10 0.273 -3.835549 13.58951 + house_veterans | 1.849901 1.739749 1.06 0.288 -1.560893 5.260694 + house_waysandmeans | .1696594 .7837398 0.22 0.829 -1.366869 1.706188 +house_naturalresources | -2.562517 1.603477 -1.60 0.110 -5.706148 .5811135 + house_bfs | -.0147634 .9978656 -0.01 0.988 -1.971088 1.941561 + house_eeo | 1.121349 1.471083 0.76 0.446 -1.762722 4.005419 + house_govreform | 3.633111 1.015205 3.58 0.000 1.642792 5.62343 + house_ir | 2.968456 1.936196 1.53 0.125 -.8274726 6.764386 + house_natsecur | -4.677739 2.793759 -1.67 0.094 -10.15493 .7994496 + house_oversight | 1.628648 1.742252 0.93 0.350 -1.787052 5.044347 + house_resources | -3.813592 1.254894 -3.04 0.002 -6.273823 -1.353361 + house_science | -1.419237 1.400248 -1.01 0.311 -4.164436 1.325961 + house_transp | -.3528653 1.039674 -0.34 0.734 -2.391155 1.685424 + house_homeland | 4.98447 5.906607 0.84 0.399 -6.595485 16.56442 + _cons | 12.6666 4.361195 2.90 0.004 4.116439 21.21676 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,358 1 0 1 1 + + +j = 5 k = 2 + + +rdbwselect_2014 pct_cosponsors_ten_5p MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6186 +----------------------+---------------------- NN matches = 3 + Number of obs | 2192 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 19.17042 42.99568 .4458686 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(7,341 missing values generated) +(54,749 missing values generated) +(47,408 real changes made) +reg pct_cosponsors_ten_5p sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==100 & tag_bill==1, robust cluster(group_sponsor) +(sum of wgt is 59,027.2135760784) + +Linear regression Number of obs = 29,363 + F(268, 2264) = . + Prob > F = . + R-squared = 0.1641 + Root MSE = 24.832 + + (Std. Err. adjusted for 2,265 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + pct_cosponsors_ten_5p | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | .3206612 .9530256 0.34 0.737 -1.548234 2.189556 + | + v2 | + 102 | 5.820164 1.456042 4.00 0.000 2.964848 8.675481 + 103 | -2.603946 1.475243 -1.77 0.078 -5.496915 .2890231 + 104 | -3.885301 2.361422 -1.65 0.100 -8.516079 .7454762 + 105 | -1.979405 1.491489 -1.33 0.185 -4.904234 .9454233 + 106 | -4.301476 1.498815 -2.87 0.004 -7.240671 -1.362282 + 107 | 7.359087 2.016072 3.65 0.000 3.405544 11.31263 + 108 | 10.51766 1.614591 6.51 0.000 7.351425 13.68389 + 109 | 13.13373 2.334266 5.63 0.000 8.556205 17.71125 + 110 | 11.38687 1.857764 6.13 0.000 7.743774 15.02997 + 111 | 6.037872 1.900347 3.18 0.002 2.311267 9.764476 + | + minor | + 101 | 4.860572 9.567901 0.51 0.611 -13.9022 23.62334 + 103 | -25.85346 8.414105 -3.07 0.002 -42.35363 -9.353299 + 104 | 2.179192 9.563053 0.23 0.820 -16.57407 20.93246 + 105 | 2.046324 6.033668 0.34 0.735 -9.785773 13.87842 + 107 | -.0907147 5.766993 -0.02 0.987 -11.39986 11.21843 + 108 | 8.595723 7.214163 1.19 0.234 -5.551339 22.74278 + 110 | 2.400053 15.39607 0.16 0.876 -27.79183 32.59194 + 200 | 10.2782 7.023102 1.46 0.143 -3.494187 24.05059 + 201 | 1.897451 7.028324 0.27 0.787 -11.88518 15.68008 + 202 | 18.78391 7.83108 2.40 0.017 3.427064 34.14075 + 204 | -.6756606 9.381483 -0.07 0.943 -19.07286 17.72154 + 205 | 17.7284 6.849423 2.59 0.010 4.296598 31.16021 + 206 | 3.766071 6.478114 0.58 0.561 -8.937591 16.46973 + 207 | 18.98517 5.824046 3.26 0.001 7.564147 30.4062 + 208 | -1.665433 6.215217 -0.27 0.789 -13.85355 10.52268 + 209 | -8.231277 23.00352 -0.36 0.721 -53.34146 36.87891 + 299 | 15.7491 8.174621 1.93 0.054 -.281432 31.77963 + 300 | 7.572467 6.114791 1.24 0.216 -4.418713 19.56365 + 301 | 11.40039 5.7825 1.97 0.049 .0608394 22.73995 + 302 | 3.291289 5.792066 0.57 0.570 -8.067024 14.6496 + 321 | 13.21154 6.423974 2.06 0.040 .6140476 25.80903 + 322 | .2841157 6.054606 0.05 0.963 -11.58904 12.15727 + 323 | 4.591493 6.602443 0.70 0.487 -8.355979 17.53897 + 324 | 1.111044 6.239387 0.18 0.859 -11.12447 13.34656 + 325 | 9.922064 6.360349 1.56 0.119 -2.550659 22.39479 + 331 | 19.54995 6.180747 3.16 0.002 7.429425 31.67047 + 332 | 7.36401 5.814608 1.27 0.205 -4.038507 18.76653 + 333 | 15.6841 5.947641 2.64 0.008 4.020702 27.3475 + 334 | 12.01165 5.913201 2.03 0.042 .4157948 23.60751 + 335 | 3.241135 5.914451 0.55 0.584 -8.357176 14.83945 + 336 | 12.42523 6.380471 1.95 0.052 -.0869505 24.93742 + 341 | 15.34194 6.438519 2.38 0.017 2.715921 27.96795 + 342 | -2.089042 8.460016 -0.25 0.805 -18.67924 14.50115 + 343 | 12.62288 6.249904 2.02 0.044 .3667383 24.87902 + 344 | .5362275 7.149918 0.07 0.940 -13.48485 14.5573 + 398 | 9.229853 6.158937 1.50 0.134 -2.847898 21.3076 + 399 | 4.158012 7.476574 0.56 0.578 -10.50364 18.81967 + 400 | 5.170328 6.761652 0.76 0.445 -8.089355 18.43001 + 401 | -3.955826 6.854807 -0.58 0.564 -17.39819 9.486535 + 402 | 7.095122 6.022678 1.18 0.239 -4.715424 18.90567 + 403 | 7.411621 6.343244 1.17 0.243 -5.027558 19.8508 + 404 | 6.190989 7.072783 0.88 0.381 -7.678825 20.0608 + 405 | 11.11239 8.628181 1.29 0.198 -5.807583 28.03236 + 498 | 13.47949 11.6753 1.15 0.248 -9.41592 36.3749 + 499 | 15.86728 11.54255 1.37 0.169 -6.767806 38.50237 + 500 | -11.02716 9.03217 -1.22 0.222 -28.73936 6.685038 + 501 | 1.353393 6.112279 0.22 0.825 -10.63286 13.33965 + 502 | -1.237574 8.16336 -0.15 0.880 -17.24602 14.77088 + 503 | 2.828334 5.920531 0.48 0.633 -8.781901 14.43857 + 504 | -.5945214 6.935393 -0.09 0.932 -14.19491 13.00587 + 505 | 4.435235 6.163694 0.72 0.472 -7.651844 16.52231 + 506 | 15.75631 6.073152 2.59 0.010 3.846786 27.66584 + 508 | 6.074733 6.77092 0.90 0.370 -7.203125 19.35259 + 529 | 19.63734 6.710307 2.93 0.003 6.478347 32.79634 + 530 | 6.979765 5.620859 1.24 0.214 -4.042809 18.00234 + 599 | 10.72171 11.41289 0.94 0.348 -11.6591 33.10252 + 600 | 2.66095 6.371479 0.42 0.676 -9.833598 15.1555 + 601 | 4.186441 5.803375 0.72 0.471 -7.194049 15.56693 + 602 | 4.828207 5.586647 0.86 0.388 -6.127276 15.78369 + 603 | 4.540754 5.925155 0.77 0.444 -7.078548 16.16006 + 604 | -1.662373 7.053476 -0.24 0.814 -15.49433 12.16958 + 606 | 4.100627 7.664591 0.54 0.593 -10.92973 19.13098 + 607 | 3.614425 5.906381 0.61 0.541 -7.968061 15.19691 + 609 | 12.38133 6.692734 1.85 0.064 -.7432021 25.50587 + 698 | 10.70384 11.08617 0.97 0.334 -11.03628 32.44396 + 699 | 6.548946 6.784545 0.97 0.335 -6.755631 19.85352 + 700 | 5.350306 8.776185 0.61 0.542 -11.8599 22.56051 + 701 | 10.1198 7.216614 1.40 0.161 -4.032067 24.27167 + 703 | 3.481646 6.093174 0.57 0.568 -8.467143 15.43044 + 704 | -.7160354 5.961836 -0.12 0.904 -12.40727 10.9752 + 705 | 2.531529 7.660067 0.33 0.741 -12.48996 17.55302 + 707 | 12.5211 6.803535 1.84 0.066 -.8207107 25.86292 + 708 | 7.127891 8.195558 0.87 0.385 -8.9437 23.19948 + 709 | 11.60148 5.969225 1.94 0.052 -.1042486 23.3072 + 710 | 10.05298 5.769584 1.74 0.082 -1.261242 21.36721 + 711 | 3.954764 6.362181 0.62 0.534 -8.521551 16.43108 + 798 | 1.440812 6.950047 0.21 0.836 -12.18832 15.06994 + 799 | 15.73384 11.84458 1.33 0.184 -7.493528 38.96121 + 800 | 1.426037 5.920567 0.24 0.810 -10.18427 13.03634 + 801 | 8.134401 8.416837 0.97 0.334 -8.37112 24.63992 + 802 | -4.059179 7.397028 -0.55 0.583 -18.56484 10.44649 + 803 | 3.506927 5.942283 0.59 0.555 -8.145963 15.15982 + 805 | 16.85206 6.84055 2.46 0.014 3.437657 30.26646 + 806 | -.2966274 6.143845 -0.05 0.961 -12.34478 11.75153 + 807 | 4.732953 7.157947 0.66 0.509 -9.303869 18.76978 + 898 | -.9537128 10.41936 -0.09 0.927 -21.38621 19.47878 + 899 | -16.19581 11.33952 -1.43 0.153 -38.43274 6.041119 + 1000 | 4.365815 6.206296 0.70 0.482 -7.804808 16.53644 + 1001 | .892344 7.366186 0.12 0.904 -13.55284 15.33753 + 1002 | -.9396659 6.496407 -0.14 0.885 -13.6792 11.79987 + 1003 | 5.353384 6.06371 0.88 0.377 -6.537626 17.24439 + 1005 | 13.47038 7.178774 1.88 0.061 -.6072853 27.54804 + 1006 | .8787301 5.872946 0.15 0.881 -10.63819 12.39565 + 1007 | 7.416546 5.921882 1.25 0.211 -4.196337 19.02943 + 1010 | 14.62219 6.724032 2.17 0.030 1.436284 27.8081 + 1098 | -10.89469 9.038851 -1.21 0.228 -28.61999 6.830611 + 1099 | 23.49073 7.33578 3.20 0.001 9.105175 37.87628 + 1200 | 4.643961 7.064147 0.66 0.511 -9.208918 18.49684 + 1201 | 11.81252 9.189223 1.29 0.199 -6.207656 29.8327 + 1202 | 7.418119 8.771009 0.85 0.398 -9.781938 24.61818 + 1203 | .1482971 6.11757 0.02 0.981 -11.84833 12.14493 + 1204 | 2.971607 7.367348 0.40 0.687 -11.47585 17.41907 + 1205 | 10.59625 6.229664 1.70 0.089 -1.620202 22.81269 + 1206 | .9917316 6.544744 0.15 0.880 -11.84259 13.82605 + 1207 | -2.912142 8.693084 -0.33 0.738 -19.95939 14.1351 + 1208 | 10.12406 6.899417 1.47 0.142 -3.405784 23.6539 + 1209 | 5.594542 5.45091 1.03 0.305 -5.09476 16.28384 + 1210 | 3.39479 6.094561 0.56 0.578 -8.55672 15.3463 + 1211 | 4.706994 7.282681 0.65 0.518 -9.574434 18.98842 + 1299 | -.1342364 9.583137 -0.01 0.989 -18.92689 18.65841 + 1300 | 7.631684 7.132885 1.07 0.285 -6.355993 21.61936 + 1301 | 6.492794 6.590674 0.99 0.325 -6.431598 19.41719 + 1302 | -4.7276 6.185681 -0.76 0.445 -16.8578 7.402597 + 1303 | -1.835421 5.760504 -0.32 0.750 -13.13184 9.460997 + 1304 | 6.404335 7.043972 0.91 0.363 -7.408981 20.21765 + 1305 | 5.065044 7.865523 0.64 0.520 -10.35934 20.48943 + 1399 | 11.90081 11.85809 1.00 0.316 -11.35305 35.15466 + 1400 | 3.214618 6.001601 0.54 0.592 -8.554596 14.98383 + 1401 | 5.379351 6.407457 0.84 0.401 -7.185751 17.94445 + 1403 | 11.94762 6.369274 1.88 0.061 -.5426063 24.43784 + 1404 | -9.370011 9.189253 -1.02 0.308 -27.39025 8.650227 + 1405 | -2.755159 6.036081 -0.46 0.648 -14.59199 9.081671 + 1406 | -.3447095 10.38662 -0.03 0.974 -20.71301 20.02359 + 1407 | 4.0857 6.746593 0.61 0.545 -9.144452 17.31585 + 1408 | 3.640832 7.494825 0.49 0.627 -11.05661 18.33828 + 1409 | 15.04825 6.765469 2.22 0.026 1.781085 28.31542 + 1410 | 3.900243 9.722862 0.40 0.688 -15.16641 22.9669 + 1499 | -11.6807 7.083201 -1.65 0.099 -25.57094 2.209546 + 1500 | -1.16379 7.321194 -0.16 0.874 -15.52074 13.19316 + 1501 | 2.369207 5.665571 0.42 0.676 -8.741049 13.47946 + 1502 | 10.57627 5.896975 1.79 0.073 -.9877748 22.14031 + 1504 | 7.399224 6.466536 1.14 0.253 -5.281733 20.08018 + 1505 | -.0105463 7.220528 -0.00 0.999 -14.17009 14.149 + 1507 | -4.031809 9.699394 -0.42 0.678 -23.05244 14.98882 + 1520 | -2.304068 6.225181 -0.37 0.711 -14.51172 9.903588 + 1521 | -5.533483 5.876245 -0.94 0.346 -17.05687 5.989905 + 1522 | 12.03796 5.999126 2.01 0.045 .2736009 23.80232 + 1523 | -4.66669 7.621484 -0.61 0.540 -19.61251 10.27913 + 1524 | 9.731841 9.389166 1.04 0.300 -8.680429 28.14411 + 1525 | 7.275416 6.291423 1.16 0.248 -5.062143 19.61297 + 1526 | -1.487607 6.224406 -0.24 0.811 -13.69374 10.71853 + 1599 | 11.62997 7.603198 1.53 0.126 -3.279999 26.53993 + 1600 | 9.565879 6.7366 1.42 0.156 -3.644676 22.77643 + 1602 | 14.15 7.617557 1.86 0.063 -.7881211 29.08813 + 1603 | -12.21614 8.956966 -1.36 0.173 -29.78087 5.348576 + 1604 | 5.632043 9.991608 0.56 0.573 -13.96162 25.22571 + 1605 | 8.368263 6.125307 1.37 0.172 -3.64354 20.38007 + 1606 | 13.34375 6.254599 2.13 0.033 1.078407 25.6091 + 1608 | 2.85311 6.709312 0.43 0.671 -10.30393 16.01015 + 1609 | 4.182401 5.777532 0.72 0.469 -7.147411 15.51221 + 1610 | 14.33117 7.384613 1.94 0.052 -.1501494 28.81249 + 1611 | 15.43769 7.083454 2.18 0.029 1.546953 29.32843 + 1612 | 5.174999 7.213429 0.72 0.473 -8.970625 19.32062 + 1614 | 4.936349 7.35005 0.67 0.502 -9.477191 19.34989 + 1615 | 1.701029 8.220578 0.21 0.836 -14.41963 17.82168 + 1616 | 8.948669 7.046013 1.27 0.204 -4.86865 22.76599 + 1617 | -11.84377 9.109106 -1.30 0.194 -29.70683 6.019302 + 1619 | 8.772791 7.602504 1.15 0.249 -6.135814 23.6814 + 1620 | 8.802319 11.54114 0.76 0.446 -13.83001 31.43465 + 1698 | 1.081656 10.06034 0.11 0.914 -18.64679 20.8101 + 1699 | 12.28052 6.206747 1.98 0.048 .1090136 24.45203 + 1700 | 7.467066 7.61184 0.98 0.327 -7.459845 22.39398 + 1701 | 1.161234 6.384176 0.18 0.856 -11.35821 13.68068 + 1704 | 7.714624 8.78733 0.88 0.380 -9.51744 24.94669 + 1705 | -10.54078 11.14672 -0.95 0.344 -32.39965 11.31808 + 1706 | 1.100897 6.067334 0.18 0.856 -10.79722 12.99901 + 1707 | 8.578758 6.460826 1.33 0.184 -4.091002 21.24852 + 1708 | 9.86914 7.763949 1.27 0.204 -5.356059 25.09434 + 1709 | 7.305845 6.261373 1.17 0.243 -4.972785 19.58447 + 1798 | 9.652514 6.461912 1.49 0.135 -3.019376 22.3244 + 1799 | 3.194178 9.646053 0.33 0.741 -15.72185 22.11021 + 1800 | -.1294481 6.843647 -0.02 0.985 -13.54992 13.29103 + 1802 | 9.147509 6.493054 1.41 0.159 -3.58545 21.88047 + 1803 | 8.586255 6.057087 1.42 0.156 -3.291766 20.46428 + 1804 | -1.514197 6.235184 -0.24 0.808 -13.74147 10.71308 + 1806 | 13.94015 6.053745 2.30 0.021 2.068684 25.81162 + 1807 | -21.15972 5.62868 -3.76 0.000 -32.19763 -10.1218 + 1808 | 7.932415 8.421215 0.94 0.346 -8.581692 24.44652 + 1899 | 16.3845 8.765962 1.87 0.062 -.8056635 33.57466 + 1900 | 7.493435 6.076669 1.23 0.218 -4.422988 19.40986 + 1901 | 13.81189 7.097312 1.95 0.052 -.1060256 27.72981 + 1902 | 15.02994 6.224727 2.41 0.016 2.823169 27.2367 + 1905 | 19.40357 6.132 3.16 0.002 7.37864 31.4285 + 1906 | 4.169822 5.37625 0.78 0.438 -6.373071 14.71272 + 1907 | 14.98486 9.504521 1.58 0.115 -3.653619 33.62335 + 1908 | 15.87304 6.890633 2.30 0.021 2.360418 29.38565 + 1909 | 5.698529 8.444932 0.67 0.500 -10.86209 22.25914 + 1910 | 5.64145 9.782774 0.58 0.564 -13.54269 24.82559 + 1911 | 14.73248 7.628187 1.93 0.054 -.2264924 29.69145 + 1912 | -16.51951 10.5531 -1.57 0.118 -37.21428 4.175252 + 1914 | 10.84124 7.355546 1.47 0.141 -3.583075 25.26556 + 1915 | 22.94111 9.415082 2.44 0.015 4.478014 41.4042 + 1919 | 12.01656 7.655575 1.57 0.117 -2.996114 27.02924 + 1920 | 12.67083 5.897277 2.15 0.032 1.106201 24.23547 + 1925 | 18.87002 5.764575 3.27 0.001 7.565615 30.17442 + 1926 | 11.07386 6.848587 1.62 0.106 -2.356303 24.50403 + 1927 | -5.420419 8.040319 -0.67 0.500 -21.18758 10.34675 + 1929 | 4.798822 7.139387 0.67 0.502 -9.201603 18.79925 + 1999 | -1.372414 21.28133 -0.06 0.949 -43.10536 40.36053 + 2000 | 4.034077 6.861013 0.59 0.557 -9.420455 17.48861 + 2001 | -3.769372 6.260681 -0.60 0.547 -16.04665 8.507901 + 2002 | -2.553745 6.40807 -0.40 0.690 -15.12005 10.01256 + 2003 | 4.509094 6.019333 0.75 0.454 -7.294892 16.31308 + 2004 | 3.867479 6.330847 0.61 0.541 -8.54739 16.28235 + 2005 | -1.190972 9.477577 -0.13 0.900 -19.77662 17.39467 + 2006 | 18.45558 6.224313 2.97 0.003 6.249628 30.66154 + 2007 | -4.514449 9.175788 -0.49 0.623 -22.50828 13.47939 + 2008 | 6.319903 5.45964 1.16 0.247 -4.386518 17.02632 + 2009 | 4.497594 6.949778 0.65 0.518 -9.131006 18.12619 + 2010 | 14.73039 5.749249 2.56 0.010 3.456046 26.00474 + 2011 | -6.282197 6.427631 -0.98 0.328 -18.88686 6.322467 + 2012 | -2.46187 6.032904 -0.41 0.683 -14.29247 9.36873 + 2013 | 3.862795 7.545308 0.51 0.609 -10.93365 18.65924 + 2014 | .2985023 6.49547 0.05 0.963 -12.43919 13.0362 + 2015 | 4.940083 6.776791 0.73 0.466 -8.349288 18.22945 + 2030 | 3.861289 9.551141 0.40 0.686 -14.86862 22.59119 + 2099 | 8.51975 7.442804 1.14 0.252 -6.07568 23.11518 + 2100 | -4.253852 8.823514 -0.48 0.630 -21.55687 13.04917 + 2101 | 4.033455 5.833127 0.69 0.489 -7.405378 15.47229 + 2102 | -3.229505 5.617628 -0.57 0.565 -14.24574 7.786732 + 2103 | -4.388421 6.181703 -0.71 0.478 -16.51082 7.733976 + 2104 | -8.276502 5.637299 -1.47 0.142 -19.33132 2.778311 + 2105 | -11.92349 9.922249 -1.20 0.230 -31.38115 7.534159 + 2199 | -27.25988 5.673228 -4.81 0.000 -38.38515 -16.13461 + 9999 | 8.428108 6.527961 1.29 0.197 -4.373304 21.22952 + | + house_administration | 6.078737 2.273374 2.67 0.008 1.620624 10.53685 + house_agriculture | 4.391003 1.785271 2.46 0.014 .890064 7.891942 + house_appropriations | -16.74445 2.259722 -7.41 0.000 -21.17579 -12.3131 + house_armedservices | -1.351753 1.469272 -0.92 0.358 -4.233014 1.529509 + house_budget | 4.76788 2.327668 2.05 0.041 .2032944 9.332466 + house_dc | -8.812649 5.159861 -1.71 0.088 -18.9312 1.305902 + house_educlabor | 4.094001 1.421744 2.88 0.004 1.305943 6.882059 + house_energycommerce | 4.184071 1.042958 4.01 0.000 2.138818 6.229324 + house_foreignaffairs | 7.108852 1.838359 3.87 0.000 3.503808 10.7139 + house_governmentop | 1.638867 3.302516 0.50 0.620 -4.837407 8.115142 + house_intelligence | 10.64815 3.702864 2.88 0.004 3.386785 17.90951 + house_interior | -.7083398 2.331768 -0.30 0.761 -5.280966 3.864287 + house_judiciary | 1.970529 1.22163 1.61 0.107 -.4251028 4.36616 + house_mmf | -.7671636 3.18616 -0.24 0.810 -7.015263 5.480936 + house_pocs | .4513973 2.398673 0.19 0.851 -4.25243 5.155225 + house_pwt | 3.976446 1.651729 2.41 0.016 .7373849 7.215507 + house_rules | 2.411191 1.818034 1.33 0.185 -1.153996 5.976377 + house_sst | 7.767245 3.491363 2.22 0.026 .9206384 14.61385 + house_smallbusi | -1.716173 2.628556 -0.65 0.514 -6.870804 3.438458 + house_soc | 4.408209 4.482089 0.98 0.325 -4.381222 13.19764 + house_veterans | .3082219 2.168293 0.14 0.887 -3.943827 4.560271 + house_waysandmeans | -.0800393 .8678258 -0.09 0.927 -1.781856 1.621778 +house_naturalresources | -1.549982 2.170231 -0.71 0.475 -5.805831 2.705866 + house_bfs | 1.182475 1.456692 0.81 0.417 -1.674116 4.039066 + house_eeo | 4.566013 1.963008 2.33 0.020 .7165307 8.415495 + house_govreform | 6.288382 1.320822 4.76 0.000 3.698234 8.87853 + house_ir | 2.21147 2.129017 1.04 0.299 -1.963558 6.386499 + house_natsecur | -3.70722 3.26526 -1.14 0.256 -10.11044 2.695996 + house_oversight | -.1084475 2.310801 -0.05 0.963 -4.639957 4.423062 + house_resources | -3.11573 2.021409 -1.54 0.123 -7.079739 .848278 + house_science | -1.079242 1.872501 -0.58 0.564 -4.751239 2.592754 + house_transp | -1.623489 1.348938 -1.20 0.229 -4.268773 1.021795 + house_homeland | 8.986481 6.939195 1.30 0.195 -4.621366 22.59433 + _cons | 21.59154 5.426833 3.98 0.000 10.94946 32.23363 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,265 1 0 1 1 + + +j = 5 k = 3 + + +rdbwselect_2014 pct_cosponsors_ten_5p MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5802 +----------------------+---------------------- NN matches = 3 + Number of obs | 3957 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 11.48228 19.59772 .5858987 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(13,828 missing values generated) +(55,922 missing values generated) +(42,094 real changes made) +reg pct_cosponsors_ten_5p sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==200 & tag_bill==1, robust cluster(group_sponsor) +(sum of wgt is 35,876.3860182762) + +Linear regression Number of obs = 23,814 + F(267, 1952) = . + Prob > F = . + R-squared = 0.1822 + Root MSE = 22.974 + + (Std. Err. adjusted for 1,953 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + pct_cosponsors_ten_5p | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 1.421783 .8789708 1.62 0.106 -.3020367 3.145603 + | + v2 | + 102 | 2.283348 1.584523 1.44 0.150 -.8241868 5.390882 + 103 | -3.253576 1.665505 -1.95 0.051 -6.519932 .0127802 + 104 | -5.542387 1.775657 -3.12 0.002 -9.024771 -2.060003 + 105 | -4.118347 1.444901 -2.85 0.004 -6.952057 -1.284636 + 106 | -1.884594 1.551824 -1.21 0.225 -4.928001 1.158812 + 107 | 2.885903 1.544587 1.87 0.062 -.1433106 5.915117 + 108 | 7.371091 1.669055 4.42 0.000 4.097774 10.64441 + 109 | 6.893127 1.701809 4.05 0.000 3.555573 10.23068 + 110 | 3.409351 1.843198 1.85 0.065 -.2054916 7.024194 + 111 | 3.999741 1.784829 2.24 0.025 .4993701 7.500111 + | + minor | + 101 | -9.811198 6.315722 -1.55 0.120 -22.19747 2.57507 + 103 | 4.966361 4.851844 1.02 0.306 -4.548978 14.4817 + 104 | -3.906152 5.704468 -0.68 0.494 -15.09364 7.281337 + 105 | -1.081427 4.75284 -0.23 0.820 -10.4026 8.239748 + 107 | -3.006466 4.02172 -0.75 0.455 -10.89378 4.880852 + 108 | 2.153417 6.588292 0.33 0.744 -10.76741 15.07424 + 110 | -5.704393 13.15324 -0.43 0.665 -31.50026 20.09147 + 200 | .6535392 5.535962 0.12 0.906 -10.20348 11.51056 + 201 | -3.329405 11.02828 -0.30 0.763 -24.95785 18.29904 + 202 | -4.769413 8.317914 -0.57 0.566 -21.08234 11.54351 + 204 | -3.907156 9.196437 -0.42 0.671 -21.94303 14.12871 + 205 | 8.223094 5.564835 1.48 0.140 -2.69055 19.13674 + 206 | -4.933609 6.462177 -0.76 0.445 -17.6071 7.739882 + 207 | 1.873274 5.208301 0.36 0.719 -8.341142 12.08769 + 208 | -6.241183 5.063418 -1.23 0.218 -16.17146 3.689091 + 209 | -38.08735 4.040956 -9.43 0.000 -46.01239 -30.16231 + 299 | 11.69898 5.091554 2.30 0.022 1.713528 21.68444 + 300 | 1.576306 5.078315 0.31 0.756 -8.383184 11.5358 + 301 | -.5914022 4.806103 -0.12 0.902 -10.01704 8.834231 + 302 | -1.063372 4.471816 -0.24 0.812 -9.833407 7.706663 + 321 | 8.848987 5.841132 1.51 0.130 -2.606525 20.3045 + 322 | .1196341 5.841219 0.02 0.984 -11.33605 11.57532 + 323 | -4.120402 4.802954 -0.86 0.391 -13.53986 5.299056 + 324 | -1.038361 4.993611 -0.21 0.835 -10.83173 8.75501 + 325 | -2.899286 5.217201 -0.56 0.578 -13.13116 7.332585 + 331 | 7.324919 5.518498 1.33 0.185 -3.497849 18.14769 + 332 | 9.478347 4.882109 1.94 0.052 -.0963473 19.05304 + 333 | 7.150604 7.486613 0.96 0.340 -7.531991 21.8332 + 334 | 4.965849 4.667705 1.06 0.288 -4.188361 14.12006 + 335 | -15.91897 7.660414 -2.08 0.038 -30.94243 -.8955226 + 336 | 1.034359 5.528562 0.19 0.852 -9.808147 11.87687 + 341 | .8742704 5.349254 0.16 0.870 -9.616579 11.36512 + 342 | 10.18853 7.096393 1.44 0.151 -3.728778 24.10583 + 343 | -.3346555 5.634612 -0.06 0.953 -11.38514 10.71583 + 344 | 17.09625 5.27422 3.24 0.001 6.75256 27.43995 + 398 | 8.684785 4.941209 1.76 0.079 -1.005815 18.37539 + 399 | 1.727163 5.884484 0.29 0.769 -9.813368 13.26769 + 400 | -11.29175 5.76064 -1.96 0.050 -22.58941 .0058988 + 401 | -13.98929 4.545281 -3.08 0.002 -22.90341 -5.075179 + 402 | -9.949237 4.394974 -2.26 0.024 -18.56857 -1.329901 + 403 | -5.626188 5.14965 -1.09 0.275 -15.72558 4.473202 + 404 | -1.929659 6.897792 -0.28 0.780 -15.45747 11.59815 + 405 | .5606473 6.035144 0.09 0.926 -11.27536 12.39665 + 498 | -15.89256 6.71587 -2.37 0.018 -29.06359 -2.721531 + 499 | -9.742003 5.502202 -1.77 0.077 -20.53281 1.048805 + 500 | 3.691906 7.516393 0.49 0.623 -11.04909 18.43291 + 501 | -4.032899 6.363177 -0.63 0.526 -16.51224 8.446438 + 502 | -1.346811 4.366931 -0.31 0.758 -9.911149 7.217526 + 503 | -4.789134 4.473601 -1.07 0.285 -13.56267 3.984403 + 504 | 1.64594 4.435704 0.37 0.711 -7.053273 10.34515 + 505 | -7.041322 4.509606 -1.56 0.119 -15.88547 1.802827 + 506 | -9.317074 7.043277 -1.32 0.186 -23.13021 4.496061 + 508 | -7.483923 4.795282 -1.56 0.119 -16.88833 1.920488 + 529 | -8.787672 7.465309 -1.18 0.239 -23.42849 5.853143 + 530 | -.9159305 4.122957 -0.22 0.824 -9.001791 7.16993 + 599 | 2.698736 8.864362 0.30 0.761 -14.68587 20.08334 + 600 | -6.931576 4.59535 -1.51 0.132 -15.94389 2.080733 + 601 | -5.825527 4.526224 -1.29 0.198 -14.70227 3.051213 + 602 | -6.570739 4.397082 -1.49 0.135 -15.19421 2.052731 + 603 | -1.485098 5.92187 -0.25 0.802 -13.09895 10.12875 + 604 | -5.873747 6.724798 -0.87 0.383 -19.06229 7.314793 + 606 | -8.870292 5.504951 -1.61 0.107 -19.66649 1.925908 + 607 | 1.976147 5.2543 0.38 0.707 -8.32848 12.28077 + 609 | -.276449 6.616149 -0.04 0.967 -13.25191 12.69901 + 698 | -12.50045 12.11624 -1.03 0.302 -36.26258 11.26168 + 699 | -10.24605 8.564428 -1.20 0.232 -27.04244 6.550334 + 700 | -11.34946 4.552516 -2.49 0.013 -20.27777 -2.42116 + 701 | -.4007864 5.815332 -0.07 0.945 -11.8057 11.00413 + 703 | -4.552135 5.314459 -0.86 0.392 -14.97475 5.870476 + 704 | -13.85818 4.735604 -2.93 0.003 -23.14556 -4.570813 + 705 | -4.513944 5.010613 -0.90 0.368 -14.34066 5.31277 + 707 | -11.83558 6.099395 -1.94 0.052 -23.79759 .1264311 + 708 | 1.685423 6.693633 0.25 0.801 -11.442 14.81284 + 709 | -5.530816 4.070682 -1.36 0.174 -13.51416 2.452524 + 710 | -7.22195 4.781135 -1.51 0.131 -16.59862 2.154715 + 711 | -5.254034 4.697105 -1.12 0.263 -14.4659 3.957835 + 798 | .5642087 6.126496 0.09 0.927 -11.45095 12.57937 + 799 | -3.517371 4.646968 -0.76 0.449 -12.63091 5.596171 + 800 | -9.322506 5.509745 -1.69 0.091 -20.12811 1.483095 + 801 | -13.03897 5.738302 -2.27 0.023 -24.29281 -1.785126 + 802 | -13.17173 4.419715 -2.98 0.003 -21.83959 -4.503876 + 803 | -3.224004 4.308469 -0.75 0.454 -11.67369 5.22568 + 805 | -16.93372 7.12207 -2.38 0.018 -30.90139 -2.966063 + 806 | -6.718903 5.163315 -1.30 0.193 -16.84509 3.407286 + 807 | -1.332977 4.78221 -0.28 0.780 -10.71175 8.045798 + 898 | -16.73464 7.432051 -2.25 0.024 -31.31023 -2.159045 + 899 | .5251821 8.770309 0.06 0.952 -16.67497 17.72534 + 1000 | -4.622814 7.264927 -0.64 0.525 -18.87064 9.625017 + 1001 | 7.269498 5.363704 1.36 0.175 -3.249692 17.78869 + 1002 | -2.322394 4.804381 -0.48 0.629 -11.74465 7.099861 + 1003 | -7.626036 4.474335 -1.70 0.088 -16.40101 1.14894 + 1005 | -4.378743 5.211735 -0.84 0.401 -14.59989 5.842408 + 1006 | -3.683559 5.956211 -0.62 0.536 -15.36476 7.997644 + 1007 | -8.500707 4.300836 -1.98 0.048 -16.93542 -.0659925 + 1010 | .9801394 7.130898 0.14 0.891 -13.00484 14.96511 + 1098 | 2.783454 10.94038 0.25 0.799 -18.6726 24.23951 + 1099 | -13.85582 13.43799 -1.03 0.303 -40.21013 12.49849 + 1200 | 5.734575 11.356 0.50 0.614 -16.53659 28.00574 + 1201 | -3.108279 5.069888 -0.61 0.540 -13.05124 6.834685 + 1202 | -4.352216 5.720429 -0.76 0.447 -15.57101 6.866576 + 1203 | -.9983614 4.398176 -0.23 0.820 -9.623976 7.627254 + 1204 | -6.11644 5.365112 -1.14 0.254 -16.63839 4.40551 + 1205 | -9.875456 4.682869 -2.11 0.035 -19.0594 -.6915074 + 1206 | -2.040104 5.517625 -0.37 0.712 -12.86116 8.780952 + 1207 | -5.433113 4.851399 -1.12 0.263 -14.94758 4.081354 + 1208 | 2.712542 4.580775 0.59 0.554 -6.271182 11.69627 + 1209 | -.8001717 4.443429 -0.18 0.857 -9.514535 7.914192 + 1210 | .6244916 5.604658 0.11 0.911 -10.36725 11.61623 + 1211 | -7.390885 5.2205 -1.42 0.157 -17.62923 2.847455 + 1299 | -4.212403 10.29118 -0.41 0.682 -24.39525 15.97045 + 1300 | -.7809062 5.580416 -0.14 0.889 -11.72511 10.16329 + 1301 | -1.442351 6.632809 -0.22 0.828 -14.45048 11.56578 + 1302 | 9.173199 5.058238 1.81 0.070 -.7469165 19.09331 + 1303 | -7.341362 5.440186 -1.35 0.177 -18.01055 3.327822 + 1304 | -.2209 5.205392 -0.04 0.966 -10.42961 9.987811 + 1305 | -2.954552 6.203808 -0.48 0.634 -15.12134 9.212232 + 1399 | -10.95186 9.141498 -1.20 0.231 -28.87998 6.976269 + 1400 | .0772472 5.149859 0.01 0.988 -10.02255 10.17705 + 1401 | -2.684069 5.08505 -0.53 0.598 -12.65677 7.288629 + 1403 | 6.578888 6.895443 0.95 0.340 -6.944317 20.10209 + 1404 | -22.58817 8.676282 -2.60 0.009 -39.60392 -5.572417 + 1405 | -10.57772 6.188894 -1.71 0.088 -22.71526 1.559813 + 1406 | -7.421338 5.356024 -1.39 0.166 -17.92547 3.082791 + 1407 | -.2093757 9.640751 -0.02 0.983 -19.11662 18.69787 + 1408 | 3.372779 9.170914 0.37 0.713 -14.61303 21.35859 + 1409 | 1.169855 7.356316 0.16 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6.525166 + 1602 | -.7932786 13.33723 -0.06 0.953 -26.95 25.36344 + 1603 | -7.355356 6.197627 -1.19 0.235 -19.51002 4.799306 + 1604 | 2.943085 6.329688 0.46 0.642 -9.470573 15.35674 + 1605 | 1.469779 5.892962 0.25 0.803 -10.08738 13.02694 + 1606 | -8.999337 11.65355 -0.77 0.440 -31.85404 13.85537 + 1608 | -2.237647 4.217183 -0.53 0.596 -10.5083 6.033009 + 1609 | -2.895111 4.411499 -0.66 0.512 -11.54685 5.756633 + 1610 | .4647051 6.685226 0.07 0.945 -12.64623 13.57564 + 1611 | -11.55375 5.663139 -2.04 0.041 -22.66018 -.4473145 + 1612 | -3.79971 5.107797 -0.74 0.457 -13.81702 6.2176 + 1614 | -20.2136 9.033514 -2.24 0.025 -37.92995 -2.497254 + 1615 | -11.17453 5.765081 -1.94 0.053 -22.4809 .1318267 + 1616 | -3.35925 8.010121 -0.42 0.675 -19.06854 12.35004 + 1617 | -2.115983 7.370853 -0.29 0.774 -16.57155 12.33959 + 1619 | -10.63443 4.640174 -2.29 0.022 -19.73464 -1.534209 + 1620 | -6.60745 6.831739 -0.97 0.334 -20.00572 6.790821 + 1698 | -11.60232 10.25881 -1.13 0.258 -31.7217 8.51706 + 1699 | 4.939777 6.544804 0.75 0.450 -7.895762 17.77532 + 1700 | -5.678813 5.786303 -0.98 0.327 -17.02679 5.669169 + 1701 | -3.27184 5.825304 -0.56 0.574 -14.69631 8.152631 + 1704 | 2.933495 7.127319 0.41 0.681 -11.04446 16.91145 + 1705 | -17.86086 8.865391 -2.01 0.044 -35.24749 -.4742354 + 1706 | 4.693439 4.866194 0.96 0.335 -4.850043 14.23692 + 1707 | -5.627449 7.49799 -0.75 0.453 -20.33236 9.077459 + 1708 | -.2538763 5.477806 -0.05 0.963 -10.99684 10.48909 + 1709 | 6.555458 4.919228 1.33 0.183 -3.092034 16.20295 + 1798 | -4.522077 5.395947 -0.84 0.402 -15.1045 6.060348 + 1799 | -14.29877 8.115018 -1.76 0.078 -30.21378 1.616244 + 1800 | -9.773867 6.761058 -1.45 0.148 -23.03352 3.485785 + 1802 | 3.380554 6.077435 0.56 0.578 -8.538391 15.2995 + 1803 | 2.890726 7.467546 0.39 0.699 -11.75448 17.53593 + 1804 | 2.974745 5.700165 0.52 0.602 -8.204305 14.15379 + 1806 | 4.873497 5.857717 0.83 0.406 -6.614541 16.36154 + 1807 | -30.03419 4.07391 -7.37 0.000 -38.02386 -22.04452 + 1808 | 3.960255 9.477373 0.42 0.676 -14.62658 22.54709 + 1899 | -6.540068 14.37797 -0.45 0.649 -34.73785 21.65772 + 1900 | -7.23058 5.712283 -1.27 0.206 -18.4334 3.972236 + 1901 | -6.347715 4.730048 -1.34 0.180 -15.62419 2.928761 + 1902 | -.8842515 5.986757 -0.15 0.883 -12.62536 10.85686 + 1905 | -.3172156 9.656187 -0.03 0.974 -19.25474 18.62031 + 1906 | 12.43951 7.374404 1.69 0.092 -2.023026 26.90204 + 1907 | -17.03816 9.371046 -1.82 0.069 -35.41647 1.340146 + 1908 | 9.105384 7.993003 1.14 0.255 -6.570335 24.7811 + 1909 | 7.912037 9.812922 0.81 0.420 -11.33287 27.15694 + 1910 | 6.276279 6.729076 0.93 0.351 -6.92065 19.47321 + 1911 | 14.2286 9.946713 1.43 0.153 -5.278691 33.7359 + 1912 | -33.90263 4.644708 -7.30 0.000 -43.01174 -24.79352 + 1914 | -5.950933 5.630868 -1.06 0.291 -16.99408 5.092213 + 1915 | -.2813234 11.16808 -0.03 0.980 -22.18394 21.62129 + 1919 | 2.605927 6.036301 0.43 0.666 -9.232346 14.4442 + 1920 | 2.105076 5.195667 0.41 0.685 -8.084562 12.29471 + 1925 | 9.902838 5.259539 1.88 0.060 -.4120653 20.21774 + 1926 | -6.280108 4.595621 -1.37 0.172 -15.29295 2.732732 + 1927 | 4.508574 4.807276 0.94 0.348 -4.91936 13.93651 + 1929 | .0340821 5.396662 0.01 0.995 -10.54974 10.61791 + 1999 | -5.65529 10.38782 -0.54 0.586 -26.02768 14.7171 + 2000 | -12.80447 4.063969 -3.15 0.002 -20.77465 -4.834298 + 2001 | -11.84437 5.407603 -2.19 0.029 -22.44965 -1.239089 + 2002 | -10.02273 4.351437 -2.30 0.021 -18.55668 -1.488778 + 2003 | 1.036303 4.989493 0.21 0.835 -8.748991 10.8216 + 2004 | -5.844517 4.27925 -1.37 0.172 -14.2369 2.547862 + 2005 | -2.816087 7.704706 -0.37 0.715 -17.9264 12.29423 + 2006 | 12.33415 4.543393 2.71 0.007 3.423735 21.24456 + 2007 | -2.336286 5.037642 -0.46 0.643 -12.21601 7.543437 + 2008 | 4.442452 4.09341 1.09 0.278 -3.585461 12.47037 + 2009 | -10.61825 5.213852 -2.04 0.042 -20.84356 -.3929514 + 2011 | -11.36178 4.161433 -2.73 0.006 -19.5231 -3.200461 + 2012 | -12.30129 4.616189 -2.66 0.008 -21.35447 -3.248112 + 2013 | -6.999813 7.295925 -0.96 0.337 -21.30844 7.308811 + 2014 | -5.053325 6.544305 -0.77 0.440 -17.88788 7.781236 + 2015 | -3.813152 6.72321 -0.57 0.571 -16.99858 9.372272 + 2030 | -.2482411 6.861093 -0.04 0.971 -13.70408 13.2076 + 2099 | -8.604381 5.799853 -1.48 0.138 -19.97894 2.770174 + 2100 | -14.03267 4.725599 -2.97 0.003 -23.30042 -4.764919 + 2101 | -7.376642 4.068123 -1.81 0.070 -15.35496 .6016792 + 2102 | -7.055444 4.754635 -1.48 0.138 -16.38014 2.269251 + 2103 | -16.15052 4.113423 -3.93 0.000 -24.21769 -8.083361 + 2104 | -14.11904 4.1717 -3.38 0.001 -22.3005 -5.937589 + 2105 | -7.589086 5.849398 -1.30 0.195 -19.06081 3.882636 + 2199 | -1.40081 13.74274 -0.10 0.919 -28.35281 25.55119 + 9999 | -10.63146 6.091942 -1.75 0.081 -22.57885 1.315936 + | + house_administration | -2.445654 1.885108 -1.30 0.195 -6.142689 1.251382 + house_agriculture | 5.31424 1.474753 3.60 0.000 2.421984 8.206497 + house_appropriations | -5.018226 2.497573 -2.01 0.045 -9.916417 -.120035 + house_armedservices | -.3922372 1.26051 -0.31 0.756 -2.864325 2.07985 + house_budget | -2.270006 1.837649 -1.24 0.217 -5.873966 1.333954 + house_dc | 10.65484 7.426483 1.43 0.152 -3.909833 25.21951 + house_educlabor | 1.547629 1.141534 1.36 0.175 -.6911248 3.786384 + house_energycommerce | 3.18991 .9208333 3.46 0.001 1.38399 4.99583 + house_foreignaffairs | 4.174347 3.068214 1.36 0.174 -1.842973 10.19167 + house_governmentop | 1.532931 1.744106 0.88 0.380 -1.887575 4.953436 + house_intelligence | 2.052227 4.53646 0.45 0.651 -6.844587 10.94904 + house_interior | .4110494 2.169326 0.19 0.850 -3.843389 4.665488 + house_judiciary | .4433132 .7579355 0.58 0.559 -1.043135 1.929761 + house_mmf | 4.937775 2.272241 2.17 0.030 .4815014 9.394048 + house_pocs | 1.415216 2.257372 0.63 0.531 -3.011897 5.842329 + house_pwt | 2.013677 2.325308 0.87 0.387 -2.546671 6.574026 + house_rules | 1.397479 1.471113 0.95 0.342 -1.487639 4.282596 + house_sst | 2.52682 3.343973 0.76 0.450 -4.031313 9.084953 + house_smallbusi | -9.810336 2.725753 -3.60 0.000 -15.15603 -4.464643 + house_soc | -1.914859 4.699798 -0.41 0.684 -11.13201 7.30229 + house_veterans | 1.831671 1.847924 0.99 0.322 -1.792441 5.455783 + house_waysandmeans | 1.570629 .8283217 1.90 0.058 -.0538585 3.195117 +house_naturalresources | -1.781758 2.671785 -0.67 0.505 -7.02161 3.458094 + house_bfs | -1.054604 1.617346 -0.65 0.514 -4.22651 2.117302 + house_eeo | -.9755826 1.843444 -0.53 0.597 -4.590908 2.639743 + house_govreform | 1.287154 1.127349 1.14 0.254 -.9237795 3.498088 + house_ir | 3.934628 1.940219 2.03 0.043 .1295084 7.739747 + house_natsecur | .4504496 2.300986 0.20 0.845 -4.062199 4.963098 + house_oversight | .8368578 1.98718 0.42 0.674 -3.06036 4.734075 + house_resources | -2.993859 1.414652 -2.12 0.034 -5.768247 -.2194711 + house_science | .9145931 1.70643 0.54 0.592 -2.432024 4.261211 + house_transp | 1.743141 1.430509 1.22 0.223 -1.062344 4.548626 + house_homeland | -2.903222 3.181849 -0.91 0.362 -9.143402 3.336958 + _cons | 30.75091 3.89451 7.90 0.000 23.11307 38.38874 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,953 1 0 1 1 +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(62,331 observations deleted) +(18 missing values generated) +(0 real changes made) +(0 real changes made) +(18 missing values generated) +(0 real changes made) +(0 real changes made) +(18 missing values generated) +(0 real changes made) +(0 real changes made) +(18 missing values generated) +(0 real changes made) +(0 real changes made) +(18 missing values generated) +(0 real changes made) +(0 real changes made) +(5 real changes made) +(5 real changes made) +(5 real changes made) +file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/Table6_pct_cosponsors_ten_5p.xls saved + + +j = 1 k = 1 + + +rdbwselect_2014 m_betweenness_w_spons MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11990 +----------------------+---------------------- NN matches = 3 + Number of obs | 6151 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 20.32887 37.63122 .540213 +---------------------------------------------- +reg m_betweenness_w_spons sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ +> 3 occ4 borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if tag_bill==1, robust cluster(group_sponsor) + +Linear regression Number of obs = 60,670 + F(291, 4745) = . + Prob > F = . + R-squared = 0.0717 + Root MSE = .94467 + + (Std. Err. adjusted for 4,746 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + m_betweenness_w_spons | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -.0652212 .0342687 -1.90 0.057 -.1324038 .0019614 + | + v2 | + 102 | -.0304288 .0549002 -0.55 0.579 -.1380588 .0772011 + 103 | .1905365 .0958383 1.99 0.047 .002649 .378424 + 104 | .0890947 .1021232 0.87 0.383 -.1111141 .2893035 + 105 | -.0437225 .0837143 -0.52 0.601 -.2078414 .1203964 + 106 | -.1352976 .0730422 -1.85 0.064 -.2784943 .0078991 + 107 | -.1999731 .0788996 -2.53 0.011 -.3546529 -.0452933 + 108 | -.5455726 .2539707 -2.15 0.032 -1.043473 -.0476722 + 109 | -.5209761 .2529916 -2.06 0.040 -1.016957 -.0249951 + 110 | -.4846659 .2473118 -1.96 0.050 -.9695119 .00018 + 111 | -.3598775 .2507511 -1.44 0.151 -.8514661 .131711 + | + minor | + 101 | -.2513691 .1468104 -1.71 0.087 -.5391856 .0364475 + 103 | -.1101743 .354156 -0.31 0.756 -.8044844 .5841357 + 104 | -.2053666 .1872891 -1.10 0.273 -.5725401 .161807 + 105 | -.1873762 .1292162 -1.45 0.147 -.4407 .0659475 + 107 | -.0603541 .1158747 -0.52 0.602 -.2875223 .1668141 + 108 | .0775795 .1648261 0.47 0.638 -.2455562 .4007152 + 110 | .0387334 .2396083 0.16 0.872 -.43101 .5084769 + 200 | -.1679209 .128228 -1.31 0.190 -.4193073 .0834655 + 201 | -.3422609 .142739 -2.40 0.017 -.6220955 -.0624262 + 202 | -.233861 .1293437 -1.81 0.071 -.4874346 .0197126 + 204 | -.0069144 .1671594 -0.04 0.967 -.3346243 .3207956 + 205 | -.1419663 .1598918 -0.89 0.375 -.4554284 .1714958 + 206 | -.3407795 .1255437 -2.71 0.007 -.5869034 -.0946555 + 207 | -.1562975 .1276245 -1.22 0.221 -.4065006 .0939057 + 208 | -.0716936 .1244271 -0.58 0.565 -.3156285 .1722413 + 209 | -.3553328 .3444976 -1.03 0.302 -1.030708 .3200424 + 299 | -.1781648 .1402075 -1.27 0.204 -.4530366 .0967069 + 300 | -.0834844 .1259666 -0.66 0.508 -.3304374 .1634686 + 301 | -.1608114 .1188191 -1.35 0.176 -.3937519 .0721291 + 302 | -.1287349 .1175776 -1.09 0.274 -.3592416 .1017718 + 321 | -.1395107 .1213606 -1.15 0.250 -.3774338 .0984124 + 322 | -.0855787 .124513 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.0995076 + 2012 | -.0510114 .1243067 -0.41 0.682 -.2947101 .1926874 + 2013 | -.1926781 .1364165 -1.41 0.158 -.4601178 .0747617 + 2014 | -.0134135 .1626175 -0.08 0.934 -.3322193 .3053924 + 2015 | -.0272187 .2056431 -0.13 0.895 -.4303747 .3759372 + 2030 | -.0369189 .1557609 -0.24 0.813 -.3422825 .2684446 + 2099 | .0197396 .17022 0.12 0.908 -.3139707 .3534499 + 2100 | .0575104 .1655777 0.35 0.728 -.2670987 .3821194 + 2101 | -.1275706 .1202986 -1.06 0.289 -.3634116 .1082704 + 2102 | .0575822 .1325028 0.43 0.664 -.2021847 .3173492 + 2103 | -.121891 .1234272 -0.99 0.323 -.3638655 .1200836 + 2104 | -.1136443 .1239291 -0.92 0.359 -.3566028 .1293142 + 2105 | -.0316982 .2138673 -0.15 0.882 -.4509774 .387581 + 2199 | .0460914 .4116315 0.11 0.911 -.7608974 .8530801 + 9999 | .0445489 .211053 0.21 0.833 -.369213 .4583108 + | + house_administration | -.0506972 .0335686 -1.51 0.131 -.1165073 .0151128 + house_agriculture | -.0836102 .0269651 -3.10 0.002 -.1364744 -.0307461 + house_appropriations | -.1396644 .1364551 -1.02 0.306 -.4071797 .1278508 + house_armedservices | -.0090502 .0274549 -0.33 0.742 -.0628746 .0447743 + house_budget | .0238987 .089208 0.27 0.789 -.1509904 .1987878 + house_dc | -.2496295 .1845989 -1.35 0.176 -.6115291 .1122701 + house_educlabor | -.0708429 .0167629 -4.23 0.000 -.1037061 -.0379798 + house_energycommerce | -.018838 .0148958 -1.26 0.206 -.0480406 .0103646 + house_foreignaffairs | -.0152023 .0371674 -0.41 0.683 -.0880677 .0576632 + house_governmentop | -.0268082 .0482339 -0.56 0.578 -.1213691 .0677526 + house_intelligence | .0684472 .1079331 0.63 0.526 -.1431519 .2800462 + house_interior | -.008637 .0512963 -0.17 0.866 -.1092016 .0919276 + house_judiciary | -.0046314 .0177217 -0.26 0.794 -.0393741 .0301114 + house_mmf | -.0866666 .0730983 -1.19 0.236 -.2299732 .05664 + house_pocs | -.0361155 .0512837 -0.70 0.481 -.1366554 .0644244 + house_pwt | .0182781 .0429894 0.43 0.671 -.066001 .1025572 + house_rules | -.0490164 .0435883 -1.12 0.261 -.1344697 .036437 + house_sst | -.0242684 .0574185 -0.42 0.673 -.1368354 .0882986 + house_smallbusi | -.0982818 .0463862 -2.12 0.034 -.1892202 -.0073434 + house_soc | .0165486 .1314604 0.13 0.900 -.2411749 .2742721 + house_veterans | -.0235853 .0270705 -0.87 0.384 -.076656 .0294854 + house_waysandmeans | .0155888 .0140112 1.11 0.266 -.0118798 .0430573 +house_naturalresources | .0248783 .0540247 0.46 0.645 -.0810352 .1307918 + house_bfs | -.0501333 .0263741 -1.90 0.057 -.1018388 .0015721 + house_eeo | -.1969881 .0664081 -2.97 0.003 -.3271787 -.0667975 + house_govreform | .0481594 .0297404 1.62 0.105 -.0101455 .1064644 + house_ir | .0300259 .0439693 0.68 0.495 -.0561745 .1162262 + house_natsecur | -.1789227 .060593 -2.95 0.003 -.2977132 -.0601322 + house_oversight | -.0052588 .0369986 -0.14 0.887 -.0777932 .0672756 + house_resources | .1006501 .052549 1.92 0.056 -.0023703 .2036705 + house_science | -.0777045 .0307436 -2.53 0.012 -.1379762 -.0174328 + house_transp | -.0477736 .0266344 -1.79 0.073 -.0999893 .0044421 + house_homeland | .0144064 .0477933 0.30 0.763 -.0792907 .1081035 + sponsor_democrat | -.2153961 .0280913 -7.67 0.000 -.2704681 -.160324 + sponsor_rookie | -.2688739 .0350363 -7.67 0.000 -.3375614 -.2001865 + sponsor_tenure_run | .0044245 .0054256 0.82 0.415 -.0062122 .0150612 + sponsor_age | -.0034777 .0017773 -1.96 0.050 -.0069621 6.62e-06 + leader | .0867799 .0523712 1.66 0.098 -.0158919 .1894517 + ivycoll | -.0944943 .0367393 -2.57 0.010 -.1665204 -.0224682 + black | -.2826356 .0628806 -4.49 0.000 -.4059108 -.1593604 + occ0 | -.0140586 .044915 -0.31 0.754 -.1021129 .0739956 + occ1 | -.0601556 .0472569 -1.27 0.203 -.1528011 .0324899 + occ2 | -.0710504 .0427908 -1.66 0.097 -.1549402 .0128394 + occ3 | .0159778 .072189 0.22 0.825 -.1255462 .1575017 + occ4 | -.0231377 .0466017 -0.50 0.620 -.1144988 .0682233 + borninstate | .0007786 .0277238 0.03 0.978 -.0535729 .0551301 + tot_bills | .0043766 .0011233 3.90 0.000 .0021744 .0065788 + NE | -.1327158 .0417926 -3.18 0.002 -.2146486 -.050783 + MW | -.0522566 .0423718 -1.23 0.218 -.1353251 .0308118 + WE | -.1801026 .0415882 -4.33 0.000 -.2616348 -.0985704 + pct_black | .0868846 .1759561 0.49 0.621 -.2580709 .4318402 + pct_urban | .0537616 .0968468 0.56 0.579 -.1361031 .2436263 + pct_for_born | -.140443 .1880247 -0.75 0.455 -.5090586 .2281726 + pct_age_over65 | -.4884755 .3788385 -1.29 0.197 -1.231175 .2542238 + lninc | .0484873 .0883505 0.55 0.583 -.1247206 .2216952 + lnpden | -.0223367 .0156247 -1.43 0.153 -.0529683 .008295 + _cons | 2.021593 .8446472 2.39 0.017 .3656927 3.677494 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,746 1 0 1 1 + + +j = 1 k = 2 + + +rdbwselect_2014 m_betweenness_w_spons MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6187 +----------------------+---------------------- NN matches = 3 + Number of obs | 2193 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 16.46709 32.17044 .5118702 +---------------------------------------------- +reg m_betweenness_w_spons sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ +> 3 occ4 borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if sponsor_party==100 & tag_bill==1, robust cluster(group_sponso +> r) +note: sponsor_democrat omitted because of collinearity + +Linear regression Number of obs = 32,847 + F(290, 2491) = . + Prob > F = . + R-squared = 0.1221 + Root MSE = .82218 + + (Std. Err. adjusted for 2,492 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + m_betweenness_w_spons | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -.1410377 .0343829 -4.10 0.000 -.2084597 -.0736158 + | + v2 | + 102 | -.0097166 .0682499 -0.14 0.887 -.1435489 .1241157 + 103 | .3583641 .1167388 3.07 0.002 .1294491 .5872792 + 104 | -.1243368 .129757 -0.96 0.338 -.3787795 .1301058 + 105 | -.1340475 .0957074 -1.40 0.161 -.3217217 .0536266 + 106 | -.2330917 .0897106 -2.60 0.009 -.4090066 -.0571768 + 107 | -.2863256 .0897647 -3.19 0.001 -.4623466 -.1103045 + 108 | -.0215721 .2284484 -0.09 0.925 -.4695405 .4263962 + 109 | .0091111 .2281699 0.04 0.968 -.4383111 .4565332 + 110 | .169928 .2262373 0.75 0.453 -.2737046 .6135606 + 111 | .3268962 .2284557 1.43 0.153 -.1210864 .7748789 + | + minor | + 101 | -.3757593 .1906609 -1.97 0.049 -.7496294 -.0018892 + 103 | -.4283676 .1938498 -2.21 0.027 -.808491 -.0482442 + 104 | -.254488 .1875313 -1.36 0.175 -.6222214 .1132453 + 105 | -.1141076 .1311553 -0.87 0.384 -.3712923 .1430771 + 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| -.1649892 .1302871 -1.27 0.206 -.4204714 .0904929 + 601 | -.0625442 .1281704 -0.49 0.626 -.3138757 .1887873 + 602 | -.063507 .1287386 -0.49 0.622 -.3159526 .1889386 + 603 | -.1413262 .1329999 -1.06 0.288 -.4021279 .1194756 + 604 | -.2429383 .150724 -1.61 0.107 -.5384955 .0526189 + 606 | -.170332 .1386796 -1.23 0.219 -.4422712 .1016072 + 607 | -.1231659 .1420264 -0.87 0.386 -.4016678 .1553361 + 609 | -.2495726 .1590819 -1.57 0.117 -.561519 .0623738 + 698 | -.1978488 .1709429 -1.16 0.247 -.5330536 .1373559 + 699 | -.1213135 .1422753 -0.85 0.394 -.4003036 .1576766 + 700 | -.1013621 .1442863 -0.70 0.482 -.3842956 .1815714 + 701 | .0377964 .1679797 0.23 0.822 -.2915979 .3671907 + 703 | -.2238343 .1481817 -1.51 0.131 -.5144063 .0667377 + 704 | -.1963783 .1347983 -1.46 0.145 -.4607065 .0679499 + 705 | -.2054503 .1304801 -1.57 0.115 -.461311 .0504103 + 707 | -.1567674 .1454017 -1.08 0.281 -.4418881 .1283533 + 708 | -.3562533 .1341928 -2.65 0.008 -.6193942 -.0931124 + 709 | -.0735176 .1381602 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| -.0455861 .1503831 -0.30 0.762 -.340475 .2493027 + 1808 | -.3368661 .1895368 -1.78 0.076 -.708532 .0347999 + 1899 | -.0370924 .3159088 -0.12 0.907 -.6565632 .5823784 + 1900 | .0827822 .1675669 0.49 0.621 -.2458025 .4113668 + 1901 | -.0798062 .1464989 -0.54 0.586 -.3670784 .2074659 + 1902 | -.0156212 .1658848 -0.09 0.925 -.3409076 .3096652 + 1905 | -.2182791 .1344308 -1.62 0.105 -.4818868 .0453285 + 1906 | .0747386 .1958164 0.38 0.703 -.3092411 .4587184 + 1907 | -.1281072 .1599096 -0.80 0.423 -.4416767 .1854623 + 1908 | -.2392318 .1674986 -1.43 0.153 -.5676826 .089219 + 1909 | -.3021297 .1831911 -1.65 0.099 -.6613523 .0570928 + 1910 | -.4123738 .180051 -2.29 0.022 -.7654389 -.0593088 + 1911 | -.1358923 .1475457 -0.92 0.357 -.4252172 .1534326 + 1912 | -.4445306 .2725098 -1.63 0.103 -.9788997 .0898385 + 1914 | -.2690733 .1400049 -1.92 0.055 -.5436112 .0054646 + 1915 | .4743468 .5595827 0.85 0.397 -.6229483 1.571642 + 1919 | -.4308092 .2032843 -2.12 0.034 -.8294329 -.0321855 + 1920 | -.0983293 .1407377 -0.70 0.485 -.3743041 .1776455 + 1925 | -.0863822 .1383552 -0.62 0.532 -.3576852 .1849207 + 1926 | -.1845613 .1514661 -1.22 0.223 -.4815737 .1124511 + 1927 | .0249075 .2610398 0.10 0.924 -.4869698 .5367848 + 1929 | -.1034657 .16466 -0.63 0.530 -.4263503 .2194188 + 1999 | .0402292 .2438084 0.17 0.869 -.4378589 .5183173 + 2000 | -.3046725 .1872155 -1.63 0.104 -.6717866 .0624416 + 2001 | -.0547466 .1446707 -0.38 0.705 -.3384338 .2289407 + 2002 | -.1213819 .1332838 -0.91 0.363 -.3827402 .1399765 + 2003 | -.066591 .1385172 -0.48 0.631 -.3382117 .2050297 + 2004 | -.0880953 .1266732 -0.70 0.487 -.3364909 .1603003 + 2005 | -.1824724 .1613034 -1.13 0.258 -.498775 .1338302 + 2006 | .0125149 .1330981 0.09 0.925 -.2484794 .2735091 + 2007 | -.2180949 .1306166 -1.67 0.095 -.4742232 .0380334 + 2008 | .0120857 .1317673 0.09 0.927 -.246299 .2704704 + 2009 | .1788361 .2045162 0.87 0.382 -.2222031 .5798754 + 2010 | .2684744 .1370752 1.96 0.050 -.0003188 .5372675 + 2011 | -.0343268 .1419456 -0.24 0.809 -.3126703 .2440166 + 2012 | -.0694986 .1347953 -0.52 0.606 -.3338209 .1948236 + 2013 | -.2998475 .1420507 -2.11 0.035 -.578397 -.021298 + 2014 | -.204519 .1665342 -1.23 0.220 -.5310787 .1220407 + 2015 | -.064736 .1835667 -0.35 0.724 -.4246949 .295223 + 2030 | -.1656038 .1532402 -1.08 0.280 -.466095 .1348875 + 2099 | -.0122148 .1493876 -0.08 0.935 -.3051515 .2807219 + 2100 | .1233386 .2468237 0.50 0.617 -.3606622 .6073393 + 2101 | -.0654879 .1337639 -0.49 0.624 -.3277878 .1968121 + 2102 | -.0160103 .1393168 -0.11 0.909 -.289199 .2571784 + 2103 | -.1457186 .1349456 -1.08 0.280 -.4103357 .1188986 + 2104 | -.1100648 .1349525 -0.82 0.415 -.3746954 .1545658 + 2105 | .0295586 .1822718 0.16 0.871 -.3278613 .3869784 + 2199 | .3839078 .987354 0.39 0.697 -1.552211 2.320027 + 9999 | .0021959 .2906385 0.01 0.994 -.5677219 .5721138 + | + house_administration | -.0745406 .0395337 -1.89 0.059 -.1520629 .0029817 + house_agriculture | -.0471487 .0348771 -1.35 0.177 -.1155398 .0212424 + house_appropriations | -.32647 .1102845 -2.96 0.003 -.5427288 -.1102113 + house_armedservices | -.024623 .0342136 -0.72 0.472 -.091713 .042467 + house_budget | -.0288313 .0508902 -0.57 0.571 -.1286228 .0709602 + house_dc | -.211899 .1844045 -1.15 0.251 -.573501 .149703 + house_educlabor | -.0645088 .0184218 -3.50 0.000 -.1006323 -.0283853 + house_energycommerce | -.0098737 .0170869 -0.58 0.563 -.0433797 .0236322 + house_foreignaffairs | .0145612 .0453108 0.32 0.748 -.0742896 .103412 + house_governmentop | -.0034609 .0614808 -0.06 0.955 -.1240196 .1170978 + house_intelligence | .0966245 .1312106 0.74 0.462 -.1606686 .3539177 + house_interior | .007768 .0666587 0.12 0.907 -.1229442 .1384801 + house_judiciary | .0053449 .0214365 0.25 0.803 -.0366904 .0473802 + house_mmf | -.1554669 .0748097 -2.08 0.038 -.3021624 -.0087714 + house_pocs | -.0527011 .0627049 -0.84 0.401 -.1756602 .0702581 + house_pwt | -.0102787 .0552852 -0.19 0.853 -.1186883 .0981309 + house_rules | -.0244853 .0437849 -0.56 0.576 -.110344 .0613733 + house_sst | -.1481654 .0643923 -2.30 0.021 -.2744335 -.0218974 + house_smallbusi | -.0854304 .0526163 -1.62 0.105 -.1886065 .0177457 + house_soc | -.2298468 .1118387 -2.06 0.040 -.4491533 -.0105404 + house_veterans | -.0346386 .0307401 -1.13 0.260 -.0949174 .0256401 + house_waysandmeans | .0203359 .0171417 1.19 0.236 -.0132774 .0539493 +house_naturalresources | -.0018014 .0521939 -0.03 0.972 -.1041494 .1005466 + house_bfs | -.0019922 .0295344 -0.07 0.946 -.0599066 .0559222 + house_eeo | -.236047 .080854 -2.92 0.004 -.3945951 -.0774989 + house_govreform | .063322 .0272885 2.32 0.020 .0098116 .1168325 + house_ir | .0665114 .038563 1.72 0.085 -.0091074 .1421303 + house_natsecur | -.1036732 .0680707 -1.52 0.128 -.2371542 .0298079 + house_oversight | -.0120774 .0386633 -0.31 0.755 -.0878929 .0637381 + house_resources | .0809878 .0475485 1.70 0.089 -.0122509 .1742264 + house_science | -.0143252 .0317099 -0.45 0.651 -.0765056 .0478552 + house_transp | .0086109 .0345465 0.25 0.803 -.0591319 .0763537 + house_homeland | .0564371 .0607028 0.93 0.353 -.0625961 .1754703 + sponsor_democrat | 0 (omitted) + sponsor_rookie | -.2550116 .0455912 -5.59 0.000 -.3444121 -.165611 + sponsor_tenure_run | -.0102933 .0050786 -2.03 0.043 -.0202521 -.0003346 + sponsor_age | -.0019791 .0021539 -0.92 0.358 -.0062028 .0022446 + leader | .0277482 .0570506 0.49 0.627 -.0841233 .1396197 + ivycoll | -.0935708 .0399613 -2.34 0.019 -.1719315 -.0152101 + black | -.3179341 .0709534 -4.48 0.000 -.4570678 -.1788005 + occ0 | -.0609104 .0511747 -1.19 0.234 -.1612597 .039439 + occ1 | -.1191976 .0539985 -2.21 0.027 -.225084 -.0133111 + occ2 | -.1697877 .0512953 -3.31 0.001 -.2703735 -.069202 + occ3 | -.1121268 .0655637 -1.71 0.087 -.2406917 .0164382 + occ4 | -.0360427 .0648493 -0.56 0.578 -.1632067 .0911214 + borninstate | .0580559 .030154 1.93 0.054 -.0010736 .1171854 + tot_bills | .0035146 .0010664 3.30 0.001 .0014234 .0056057 + NE | -.221204 .0565886 -3.91 0.000 -.3321695 -.1102384 + MW | -.1198512 .0543528 -2.21 0.028 -.2264324 -.01327 + WE | -.2037789 .0560572 -3.64 0.000 -.3137023 -.0938555 + pct_black | .0890193 .2070508 0.43 0.667 -.3169902 .4950288 + pct_urban | -.2183853 .1201139 -1.82 0.069 -.4539187 .0171482 + pct_for_born | -.4016013 .193693 -2.07 0.038 -.7814171 -.0217855 + pct_age_over65 | -.4929284 .5556019 -0.89 0.375 -1.582418 .5965607 + lninc | -.0834494 .0874969 -0.95 0.340 -.2550235 .0881247 + lnpden | .0243026 .0146175 1.66 0.097 -.0043612 .0529664 + _cons | 3.265294 .8255565 3.96 0.000 1.646446 4.884141 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,492 1 0 1 1 + + +j = 1 k = 3 + + +rdbwselect_2014 m_betweenness_w_spons MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 5.088335 13.4177 .3792256 +---------------------------------------------- +reg m_betweenness_w_spons sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ +> 3 occ4 borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if sponsor_party==200 & tag_bill==1, robust cluster(group_sponso +> r) +note: sponsor_democrat omitted because of collinearity + +Linear regression Number of obs = 27,671 + F(289, 2243) = . + Prob > F = . + R-squared = 0.0571 + Root MSE = 1.0434 + + (Std. Err. adjusted for 2,244 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + m_betweenness_w_spons | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | .0966975 .0772363 1.25 0.211 -.0547646 .2481596 + | + v2 | + 102 | -.0592342 .0874345 -0.68 0.498 -.2306953 .1122269 + 103 | -.090721 .1443241 -0.63 0.530 -.3737437 .1923017 + 104 | .3310962 .1680099 1.97 0.049 .0016251 .6605673 + 105 | .1239591 .1443216 0.86 0.390 -.1590587 .4069768 + 106 | .0385975 .1216451 0.32 0.751 -.1999512 .2771462 + 107 | -.0092121 .1404771 -0.07 0.948 -.2846908 .2662666 + 108 | -.370765 .4479991 -0.83 0.408 -1.249301 .5077711 + 109 | -.3655258 .4416063 -0.83 0.408 -1.231525 .5004739 + 110 | -.408411 .4396409 -0.93 0.353 -1.270557 .4537346 + 111 | -.3799839 .4542643 -0.84 0.403 -1.270806 .5108385 + | + minor | + 101 | -.048175 .2340691 -0.21 0.837 -.5071897 .4108398 + 103 | .4046678 .7303633 0.55 0.580 -1.027591 1.836927 + 104 | -.1468499 .2854468 -0.51 0.607 -.7066174 .4129176 + 105 | -.2180632 .1951752 -1.12 0.264 -.6008061 .1646797 + 107 | 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0.53 0.594 -.202779 .3539866 + house_dc | .1393297 .3008908 0.46 0.643 -.4507238 .7293832 + house_educlabor | -.0566249 .0297213 -1.91 0.057 -.114909 .0016592 + house_energycommerce | -.0005112 .0255362 -0.02 0.984 -.0505882 .0495658 + house_foreignaffairs | -.1202156 .0626217 -1.92 0.055 -.2430182 .0025869 + house_governmentop | .043926 .0671904 0.65 0.513 -.0878358 .1756878 + house_intelligence | -.0325071 .1398177 -0.23 0.816 -.3066927 .2416785 + house_interior | -.0061816 .0756453 -0.08 0.935 -.1545237 .1421604 + house_judiciary | -.0142571 .0262905 -0.54 0.588 -.0658133 .037299 + house_mmf | .0911843 .1572239 0.58 0.562 -.2171351 .3995038 + house_pocs | -.0051526 .0860999 -0.06 0.952 -.1739964 .1636911 + house_pwt | .0476107 .0617106 0.77 0.440 -.0734052 .1686266 + house_rules | -.0290657 .0690625 -0.42 0.674 -.1644988 .1063674 + house_sst | .1868049 .1001603 1.87 0.062 -.0096116 .3832214 + house_smallbusi | -.1248304 .0823075 -1.52 0.129 -.2862373 .0365764 + house_soc | .306141 .2360336 1.30 0.195 -.1567261 .7690082 + house_veterans | -.0551506 .0486082 -1.13 0.257 -.1504724 .0401712 + house_waysandmeans | -.003562 .0216637 -0.16 0.869 -.046045 .0389209 +house_naturalresources | .0314686 .0987176 0.32 0.750 -.1621188 .2250561 + house_bfs | -.1304458 .0429203 -3.04 0.002 -.2146134 -.0462782 + house_eeo | -.122928 .0967222 -1.27 0.204 -.3126024 .0667465 + house_govreform | .0364454 .0463889 0.79 0.432 -.0545243 .1274151 + house_ir | -.0621029 .0693735 -0.90 0.371 -.1981459 .0739401 + house_natsecur | -.1697054 .097167 -1.75 0.081 -.360252 .0208411 + house_oversight | -.0266724 .059855 -0.45 0.656 -.1440494 .0907046 + house_resources | .0780324 .0690147 1.13 0.258 -.057307 .2133717 + house_science | -.1970915 .0564483 -3.49 0.000 -.3077879 -.0863951 + house_transp | -.1047094 .0387173 -2.70 0.007 -.1806349 -.0287838 + house_homeland | -.0536306 .0686142 -0.78 0.435 -.1881845 .0809233 + sponsor_democrat | 0 (omitted) + sponsor_rookie | -.3039357 .0507507 -5.99 0.000 -.4034589 -.2044125 + sponsor_tenure_run | .0201817 .010351 1.95 0.051 -.0001168 .0404802 + sponsor_age | -.0044744 .0029053 -1.54 0.124 -.0101718 .001223 + leader | .0897466 .0829685 1.08 0.280 -.0729565 .2524498 + ivycoll | -.0146013 .0700722 -0.21 0.835 -.1520145 .1228119 + black | -.092989 .3329059 -0.28 0.780 -.7458249 .5598469 + occ0 | .002981 .0790095 0.04 0.970 -.1519585 .1579204 + occ1 | .0448102 .0786771 0.57 0.569 -.1094774 .1990978 + occ2 | .059185 .0683189 0.87 0.386 -.0747898 .1931599 + occ3 | .1641794 .1170853 1.40 0.161 -.0654274 .3937862 + occ4 | .0405971 .0643737 0.63 0.528 -.0856412 .1668353 + borninstate | -.0690444 .0466104 -1.48 0.139 -.1604484 .0223596 + tot_bills | .0047628 .0022552 2.11 0.035 .0003402 .0091853 + NE | .0159794 .0626885 0.25 0.799 -.1069541 .138913 + MW | .0540118 .0617925 0.87 0.382 -.0671647 .1751883 + WE | -.0729312 .0600516 -1.21 0.225 -.1906937 .0448313 + pct_black | .1085406 .3390656 0.32 0.749 -.5563746 .7734558 + pct_urban | .0839561 .1560943 0.54 0.591 -.2221484 .3900606 + pct_for_born | .3565505 .3965706 0.90 0.369 -.4211331 1.134234 + pct_age_over65 | .0099052 .5317973 0.02 0.985 -1.032961 1.052772 + lninc | .2304605 .1789555 1.29 0.198 -.1204752 .5813962 + lnpden | -.0314117 .0282795 -1.11 0.267 -.0868685 .0240451 + _cons | -.2655214 1.727753 -0.15 0.878 -3.653684 3.122641 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,244 1 0 1 1 + + +j = 2 k = 1 + + +rdbwselect_2014 m_betweenness_w_spons MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11990 +----------------------+---------------------- NN matches = 3 + Number of obs | 6151 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 20.32887 37.63122 .540213 +---------------------------------------------- +reg m_betweenness_w_spons sponsor_female i.v2 MV1_female femaleXMV1_female if tag_bill==1 & sample==1 & abs(MV1_female)<=20.32887330195472, robust cluster(group_spo +> nsor) + +Linear regression Number of obs = 3,892 + F(13, 317) = 0.30 + Prob > F = 0.9922 + R-squared = 0.0110 + Root MSE = .96308 + + (Std. Err. adjusted for 318 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust +m_betweenness_w~s | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .0691731 .1816667 0.38 0.704 -.2882518 .4265979 + | + v2 | + 102 | .0394847 .33425 0.12 0.906 -.6181441 .6971134 + 103 | .0492093 .3033856 0.16 0.871 -.5476946 .6461132 + 104 | .0891054 .3769566 0.24 0.813 -.6525476 .8307584 + 105 | -.1132829 .2840668 -0.40 0.690 -.6721775 .4456116 + 106 | .1497121 .3247405 0.46 0.645 -.4892069 .7886312 + 107 | -.042952 .2859264 -0.15 0.881 -.6055052 .5196012 + 108 | -.032379 .3046846 -0.11 0.915 -.6318386 .5670806 + 109 | -.0147184 .3082034 -0.05 0.962 -.6211012 .5916643 + 110 | .2206486 .3915904 0.56 0.574 -.549796 .9910932 + 111 | -.0500449 .2895829 -0.17 0.863 -.6197922 .5197024 + | + MV1_female | -.0069568 .0106383 -0.65 0.514 -.0278873 .0139738 +femaleXMV1_female | .0063466 .0156519 0.41 0.685 -.0244481 .0371412 + _cons | 1.768317 .2924227 6.05 0.000 1.192983 2.343652 +----------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 318 1 0 1 1 + + +j = 2 k = 2 + + +rdbwselect_2014 m_betweenness_w_spons MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6187 +----------------------+---------------------- NN matches = 3 + Number of obs | 2193 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 16.46709 32.17044 .5118702 +---------------------------------------------- +reg m_betweenness_w_spons sponsor_female i.v2 MV1_female femaleXMV1_female if sponsor_party==100 & tag_bill==1 & sample==1 & abs(MV1_female)<=16.46708831757421, rob +> ust cluster(group_sponsor) + +Linear regression Number of obs = 1,283 + F(13, 109) = 1.97 + Prob > F = 0.0300 + R-squared = 0.1005 + Root MSE = .84603 + + (Std. Err. adjusted for 110 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust +m_betweenness_w~s | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.1181042 .2232312 -0.53 0.598 -.5605412 .3243327 + | + v2 | + 102 | -.7899413 .4616999 -1.71 0.090 -1.705016 .125133 + 103 | -.3326556 .4660026 -0.71 0.477 -1.256258 .5909464 + 104 | -.1819392 .9614538 -0.19 0.850 -2.087509 1.723631 + 105 | -.6021364 .4878335 -1.23 0.220 -1.569007 .3647338 + 106 | -.8043289 .4707829 -1.71 0.090 -1.737405 .1287475 + 107 | -.8935218 .4528046 -1.97 0.051 -1.790966 .0039221 + 108 | -.7191152 .4699551 -1.53 0.129 -1.650551 .2123205 + 109 | -.9703682 .4730115 -2.05 0.043 -1.907862 -.0328749 + 110 | -.9927106 .4676207 -2.12 0.036 -1.91952 -.0659016 + 111 | -.7136033 .4660353 -1.53 0.129 -1.63727 .2100635 + | + MV1_female | .0128003 .0138125 0.93 0.356 -.0145757 .0401763 +femaleXMV1_female | -.0033162 .0218115 -0.15 0.879 -.0465458 .0399135 + _cons | 2.458822 .480145 5.12 0.000 1.50719 3.410454 +----------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 110 1 0 1 1 + + +j = 2 k = 3 + + +rdbwselect_2014 m_betweenness_w_spons MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 5.088335 13.4177 .3792256 +---------------------------------------------- +reg m_betweenness_w_spons sponsor_female i.v2 MV1_female femaleXMV1_female if sponsor_party==200 & tag_bill==1 & sample==1 & abs(MV1_female)<=5.088335253123976, rob +> ust cluster(group_sponsor) + +Linear regression Number of obs = 469 + F(10, 40) = . + Prob > F = . + R-squared = 0.1389 + Root MSE = .62187 + + (Std. Err. adjusted for 41 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust +m_betweenness_w~s | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.10803 .3725146 -0.29 0.773 -.8609102 .6448501 + | + v2 | + 103 | -.4506005 .3353474 -1.34 0.187 -1.128363 .2271619 + 104 | -.0305029 .3844851 -0.08 0.937 -.8075762 .7465705 + 105 | -.4917948 .3131464 -1.57 0.124 -1.124687 .1410977 + 106 | -.0843243 .3533356 -0.24 0.813 -.7984422 .6297937 + 107 | .0617758 .3860272 0.16 0.874 -.7184142 .8419659 + 108 | -.3399248 .4462862 -0.76 0.451 -1.241903 .5620533 + 109 | .4074962 .3188406 1.28 0.209 -.2369048 1.051897 + 110 | -.0988084 .2931078 -0.34 0.738 -.6912014 .4935845 + 111 | .2135749 .4192313 0.51 0.613 -.6337232 1.060873 + | + MV1_female | -.1004247 .0933939 -1.08 0.289 -.2891808 .0883314 +femaleXMV1_female | .2786877 .1323607 2.11 0.042 .0111767 .5461987 + _cons | 1.596446 .3437609 4.64 0.000 .9016797 2.291213 +----------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 41 1 0 1 1 + + +j = 3 k = 1 + + +rdbwselect_2014 m_betweenness_w_spons MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11990 +----------------------+---------------------- NN matches = 3 + Number of obs | 6151 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 20.32887 37.63122 .540213 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(50,600 missing values generated) +(56,627 missing values generated) +(6,027 real changes made) +reg m_betweenness_w_spons sponsor_female i.v2 MV1_female femaleXMV1_female i.minor house_* [aw=wt] if tag_bill==1 & sample==1 & abs(MV1_female)<=20.32887330195472, +> robust cluster(group_sponsor) +(sum of wgt is 7,830.90478038788) + +Linear regression Number of obs = 3,892 + F(244, 317) = . + Prob > F = . + R-squared = 0.1251 + Root MSE = 1.0141 + + (Std. Err. adjusted for 318 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + m_betweenness_w_spons | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | .080031 .187852 0.43 0.670 -.2895632 .4496253 + | + v2 | + 102 | -.2408268 .310943 -0.77 0.439 -.8525995 .370946 + 103 | -.1257891 .3088646 -0.41 0.684 -.7334727 .4818945 + 104 | .0962229 .4672735 0.21 0.837 -.8231263 1.015572 + 105 | -.2320031 .2908475 -0.80 0.426 -.8042385 .3402322 + 106 | -.0638778 .3342471 -0.19 0.849 -.7215009 .5937452 + 107 | -.2731755 .2934324 -0.93 0.353 -.8504967 .3041457 + 108 | -.1965978 .3092972 -0.64 0.525 -.8051325 .4119369 + 109 | -.3155747 .3230761 -0.98 0.329 -.951219 .3200697 + 110 | .1646495 .4237659 0.39 0.698 -.6690997 .9983987 + 111 | -.2093339 .2995566 -0.70 0.485 -.7987044 .3800365 + | + MV1_female | -.0070473 .0097419 -0.72 0.470 -.0262144 .0121197 + femaleXMV1_female | .0072926 .0169427 0.43 0.667 -.0260418 .0406269 + | + minor | + 101 | .3487855 .4274714 0.82 0.415 -.4922542 1.189825 + 103 | -.3306296 .2145123 -1.54 0.124 -.7526772 .0914181 + 104 | -.6252477 .2728454 -2.29 0.023 -1.162064 -.088431 + 105 | -.3872615 .2260384 -1.71 0.088 -.8319865 .0574636 + 107 | -.1708604 .1883393 -0.91 0.365 -.5414133 .1996925 + 108 | -.8576413 .3512423 -2.44 0.015 -1.548702 -.1665807 + 200 | -.3732534 .2747893 -1.36 0.175 -.9138947 .167388 + 201 | -.6129056 .2180045 -2.81 0.005 -1.041824 -.1839869 + 202 | .1846566 .3520203 0.52 0.600 -.5079348 .8772481 + 204 | 1.095817 1.093259 1.00 0.317 -1.055143 3.246777 + 205 | .4140761 .4554227 0.91 0.364 -.4819569 1.310109 + 206 | -.2866948 .3034712 -0.94 0.346 -.8837669 .3103773 + 207 | -.4242515 .2065422 -2.05 0.041 -.8306181 -.0178848 + 208 | -.2005351 .222167 -0.90 0.367 -.6376432 .2365731 + 209 | .9411647 .296969 3.17 0.002 .3568854 1.525444 + 299 | .582015 .2728199 2.13 0.034 .0452486 1.118781 + 300 | .4396962 .7979883 0.55 0.582 -1.130326 2.009719 + 301 | -.1586783 .2362872 -0.67 0.502 -.6235675 .306211 + 302 | -.3464813 .1808615 -1.92 0.056 -.702322 .0093593 + 321 | -.4928207 .2134307 -2.31 0.022 -.9127404 -.072901 + 322 | .3193885 .4058346 0.79 0.432 -.4790812 1.117858 + 323 | -.4340854 .2910607 -1.49 0.137 -1.00674 .1385694 + 324 | .1885165 .3053487 0.62 0.537 -.4122498 .7892827 + 325 | -.2977703 .2145452 -1.39 0.166 -.7198827 .1243421 + 331 | -.4300391 .2031475 -2.12 0.035 -.8297268 -.0303513 + 332 | .2138905 .5668747 0.38 0.706 -.9014216 1.329203 + 333 | -.5069015 .2306922 -2.20 0.029 -.9607828 -.0530202 + 334 | .0394175 .2758764 0.14 0.886 -.5033625 .5821976 + 335 | -.6632256 .257959 -2.57 0.011 -1.170754 -.1556976 + 336 | -.5214465 .2427848 -2.15 0.032 -.9991196 -.0437734 + 341 | -.2675646 .2207092 -1.21 0.226 -.7018046 .1666754 + 342 | -.5201606 .2738355 -1.90 0.058 -1.058925 .0186041 + 343 | -.5222549 .2271164 -2.30 0.022 -.9691009 -.0754089 + 344 | -.897973 .374402 -2.40 0.017 -1.6346 -.1613463 + 398 | -.2752476 .2947258 -0.93 0.351 -.8551135 .3046182 + 399 | -.609136 .2445931 -2.49 0.013 -1.090367 -.1279049 + 400 | .131614 .2738364 0.48 0.631 -.4071524 .6703805 + 401 | -.3879896 .309453 -1.25 0.211 -.9968308 .2208517 + 402 | -.0345352 .2078826 -0.17 0.868 -.4435392 .3744688 + 403 | -.1478957 .2221879 -0.67 0.506 -.585045 .2892535 + 404 | -.2232364 .4253446 -0.52 0.600 -1.060092 .6136188 + 405 | 1.237458 1.006687 1.23 0.220 -.7431751 3.218091 + 498 | 4.152905 2.125873 1.95 0.052 -.0296993 8.335509 + 499 | -.7016058 .4102804 -1.71 0.088 -1.508823 .1056109 + 500 | -.3089848 .5440821 -0.57 0.571 -1.379453 .7614835 + 501 | -.3013669 .2163629 -1.39 0.165 -.7270557 .1243219 + 502 | -.2457221 .225443 -1.09 0.277 -.6892758 .1978316 + 503 | -.0410244 .2086519 -0.20 0.844 -.451542 .3694931 + 504 | -.167925 .2111718 -0.80 0.427 -.5834004 .2475504 + 505 | -.3583012 .2569231 -1.39 0.164 -.8637912 .1471887 + 506 | .4652147 .7712523 0.60 0.547 -1.052205 1.982635 + 508 | -.3839772 .2217202 -1.73 0.084 -.8202062 .0522519 + 530 | -.0927307 .1733906 -0.53 0.593 -.4338725 .2484111 + 599 | -.4908711 .3408161 -1.44 0.151 -1.161419 .1796763 + 600 | -.1771276 .2447537 -0.72 0.470 -.6586745 .3044193 + 601 | -.3460286 .2005693 -1.73 0.085 -.7406438 .0485865 + 602 | -.1413751 .1944839 -0.73 0.468 -.5240175 .2412672 + 603 | -.4586406 .2096071 -2.19 0.029 -.8710374 -.0462439 + 604 | -.2862184 .2541504 -1.13 0.261 -.7862531 .2138163 + 606 | -.4681714 .2704713 -1.73 0.084 -1.000317 .0639742 + 607 | -.2612262 .2216734 -1.18 0.240 -.6973633 .1749109 + 609 | -.0521071 .4569355 -0.11 0.909 -.9511167 .8469025 + 698 | -.595787 .2806703 -2.12 0.035 -1.147999 -.043575 + 699 | -.1534615 .3308119 -0.46 0.643 -.804326 .4974029 + 700 | .261009 .3741961 0.70 0.486 -.4752127 .9972307 + 701 | -.0721098 .2689908 -0.27 0.789 -.6013425 .457123 + 703 | -.587636 .2061569 -2.85 0.005 -.9932446 -.1820274 + 704 | -.5564474 .234932 -2.37 0.018 -1.01867 -.0942243 + 705 | -.506149 .26196 -1.93 0.054 -1.021549 .009251 + 707 | -.3170213 .3393087 -0.93 0.351 -.9846029 .3505603 + 708 | -.6995385 .2317028 -3.02 0.003 -1.155408 -.2436688 + 709 | .4008943 .3628197 1.10 0.270 -.3129446 1.114733 + 710 | -.245924 .2463685 -1.00 0.319 -.7306479 .2388 + 711 | .1658909 .3692161 0.45 0.654 -.5605328 .8923145 + 798 | -.0692662 .4085862 -0.17 0.865 -.8731496 .7346172 + 799 | -.4948308 .3222331 -1.54 0.126 -1.128817 .139155 + 800 | -.6449528 .2901003 -2.22 0.027 -1.215718 -.0741875 + 801 | -.2797018 .2449847 -1.14 0.254 -.7617031 .2022996 + 802 | .0026988 .5500444 0.00 0.996 -1.0795 1.084898 + 803 | -.2736957 .2116717 -1.29 0.197 -.6901547 .1427632 + 805 | .9444092 .9237063 1.02 0.307 -.8729605 2.761779 + 806 | -.246851 .1822405 -1.35 0.177 -.6054046 .1117027 + 807 | -.6677182 .2194711 -3.04 0.003 -1.099522 -.2359142 + 898 | .2984061 .84444 0.35 0.724 -1.363009 1.959821 + 899 | -.0169432 .3125019 -0.05 0.957 -.6317831 .5978966 + 1000 | -.5902804 .3603263 -1.64 0.102 -1.299214 .1186529 + 1001 | -.0419544 .3185636 -0.13 0.895 -.6687205 .5848117 + 1002 | .0613262 .3505787 0.17 0.861 -.6284288 .7510812 + 1003 | -.0069739 .2061263 -0.03 0.973 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-.0203979 .220178 + house_foreignaffairs | .1187657 .1665516 0.71 0.476 -.2089206 .446452 + house_governmentop | .0395436 .1435535 0.28 0.783 -.2428944 .3219817 + house_intelligence | .1797465 .211733 0.85 0.397 -.2368331 .5963261 + house_interior | -.1615031 .1611784 -1.00 0.317 -.4786178 .1556115 + house_judiciary | -.1606699 .0491384 -3.27 0.001 -.2573486 -.0639912 + house_mmf | .0372632 .2243293 0.17 0.868 -.4040993 .4786258 + house_pocs | .1246671 .1983495 0.63 0.530 -.2655807 .5149149 + house_pwt | .0036184 .1269828 0.03 0.977 -.2462173 .253454 + house_rules | -.1556126 .1275408 -1.22 0.223 -.4065461 .0953209 + house_sst | .1627601 .2450642 0.66 0.507 -.3193977 .6449179 + house_smallbusi | -.1291999 .1960738 -0.66 0.510 -.5149703 .2565706 + house_soc | .3207424 .3036798 1.06 0.292 -.2767401 .918225 + house_veterans | -.0530493 .081968 -0.65 0.518 -.2143194 .1082208 + house_waysandmeans | .0556226 .0506454 1.10 0.273 -.044021 .1552662 +house_naturalresources | .5378894 .2887062 1.86 0.063 -.0301329 1.105912 + house_bfs | -.0441477 .0825801 -0.53 0.593 -.206622 .1183266 + house_eeo | -.4390954 .3604223 -1.22 0.224 -1.148217 .2700266 + house_govreform | .2747323 .1095039 2.51 0.013 .059286 .4901786 + house_ir | .232792 .1571939 1.48 0.140 -.0764831 .5420671 + house_natsecur | -.1020583 .2757064 -0.37 0.712 -.644504 .4403874 + house_oversight | -.3744027 .1772938 -2.11 0.035 -.723224 -.0255814 + house_resources | -.1053339 .159548 -0.66 0.510 -.4192407 .2085728 + house_science | -.3498415 .1913227 -1.83 0.068 -.7262643 .0265813 + house_transp | .0288553 .1232456 0.23 0.815 -.2136274 .271338 + house_homeland | -.012521 .1202535 -0.10 0.917 -.2491167 .2240748 + _cons | 2.119934 .3644049 5.82 0.000 1.402976 2.836891 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 318 1 0 1 1 + + +j = 3 k = 2 + + +rdbwselect_2014 m_betweenness_w_spons MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6187 +----------------------+---------------------- NN matches = 3 + Number of obs | 2193 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 16.46709 32.17044 .5118702 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(56,208 missing values generated) +(58,378 missing values generated) +(2,170 real changes made) +reg m_betweenness_w_spons sponsor_female i.v2 MV1_female femaleXMV1_female i.minor house_* [aw=wt] if sponsor_party==100 & tag_bill==1 & sample==1 & abs(MV1_female) +> <=16.46708831757421, robust cluster(group_sponsor) +(sum of wgt is 2,445.24067246914) +note: house_dc omitted because of collinearity +note: house_soc omitted because of collinearity + +Linear regression Number of obs = 1,283 + F(109, 109) = . + Prob > F = . + R-squared = 0.4011 + Root MSE = .99059 + + (Std. Err. adjusted for 110 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + m_betweenness_w_spons | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | .0354688 .2428697 0.15 0.884 -.4458911 .5168287 + | + v2 | + 102 | -1.020225 .5298011 -1.93 0.057 -2.070273 .0298236 + 103 | -.4813977 .5584319 -0.86 0.391 -1.588192 .6253962 + 104 | .6018042 1.298836 0.46 0.644 -1.972446 3.176054 + 105 | -.9367154 .5638889 -1.66 0.100 -2.054325 .180894 + 106 | -1.098499 .5371841 -2.04 0.043 -2.163181 -.0338178 + 107 | -1.185678 .5505974 -2.15 0.033 -2.276944 -.094412 + 108 | -.8566043 .5367644 -1.60 0.113 -1.920454 .2072454 + 109 | -1.381903 .5565219 -2.48 0.015 -2.484911 -.2788944 + 110 | -1.143239 .5315184 -2.15 0.034 -2.196691 -.089787 + 111 | -.9305852 .5441489 -1.71 0.090 -2.009071 .1479003 + | + MV1_female | .0134681 .0193659 0.70 0.488 -.0249145 .0518508 + femaleXMV1_female | -.0090932 .0301512 -0.30 0.764 -.0688519 .0506655 + | + minor | + 104 | -1.803469 1.28294 -1.41 0.163 -4.346214 .7392752 + 105 | .2438267 .4939049 0.49 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house_judiciary | -.13017 .1338282 -0.97 0.333 -.3954132 .1350731 + house_mmf | -.458861 .2704096 -1.70 0.093 -.9948041 .0770821 + house_pocs | .1700514 .2145665 0.79 0.430 -.2552124 .5953152 + house_pwt | -.058563 .2390379 -0.24 0.807 -.5323284 .4152023 + house_rules | -.2723592 .2994836 -0.91 0.365 -.8659258 .3212075 + house_sst | -.4704439 .5371592 -0.88 0.383 -1.535076 .5941882 + house_smallbusi | .3490092 .1767494 1.97 0.051 -.0013024 .6993208 + house_soc | 0 (omitted) + house_veterans | .1680464 .1315894 1.28 0.204 -.0927595 .4288522 + house_waysandmeans | .118651 .0871978 1.36 0.176 -.0541722 .2914742 +house_naturalresources | .0749286 .2334961 0.32 0.749 -.3878532 .5377104 + house_bfs | .1693035 .1792782 0.94 0.347 -.18602 .5246271 + house_eeo | -1.607791 1.169228 -1.38 0.172 -3.925163 .7095815 + house_govreform | -.0014398 .2198564 -0.01 0.995 -.4371881 .4343085 + house_ir | -.0109489 .3974725 -0.03 0.978 -.7987264 .7768286 + house_natsecur | -.8620215 .8233798 -1.05 0.297 -2.493933 .7698905 + house_oversight | .0379511 .1995502 0.19 0.850 -.3575509 .4334531 + house_resources | -.005172 .3849432 -0.01 0.989 -.768117 .7577729 + house_science | -.0576501 .1632838 -0.35 0.725 -.3812732 .265973 + house_transp | -.2914366 .3244829 -0.90 0.371 -.9345512 .3516779 + house_homeland | -.0357792 .2493476 -0.14 0.886 -.529978 .4584197 + _cons | 2.777842 .6320077 4.40 0.000 1.525223 4.030461 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 110 1 0 1 1 + + +j = 3 k = 3 + + +rdbwselect_2014 m_betweenness_w_spons MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 5.088335 13.4177 .3792256 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,233 missing values generated) +(61,871 missing values generated) +(1,018 real changes made) +reg m_betweenness_w_spons sponsor_female i.v2 MV1_female femaleXMV1_female i.minor house_* [aw=wt] if sponsor_party==200 & tag_bill==1 & sample==1 & abs(MV1_female) +> <=5.088335253123976, robust cluster(group_sponsor) +(sum of wgt is 285) +note: house_dc omitted because of collinearity +note: house_pocs omitted because of collinearity +note: house_soc omitted because of collinearity +note: house_ir omitted because of collinearity +note: house_natsecur omitted because of collinearity +note: house_science omitted because of collinearity +note: house_homeland omitted because of collinearity + +Linear regression Number of obs = 285 + F(20, 21) = . + Prob > F = . + R-squared = 0.6496 + Root MSE = .57939 + + (Std. Err. adjusted for 22 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + m_betweenness_w_spons | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | .2526864 .4738463 0.53 0.599 -.7327308 1.238104 + | + v2 | + 103 | -.6680246 .3279874 -2.04 0.054 -1.350112 .0140625 + 104 | -.1641877 .3291508 -0.50 0.623 -.8486943 .5203188 + 107 | .4154209 .4520906 0.92 0.369 -.5247531 1.355595 + 110 | .0974175 .2878018 0.34 0.738 -.5010991 .6959341 + | + MV1_female | -.2858718 .1630121 -1.75 0.094 -.624874 .0531303 + femaleXMV1_female | .5245725 .2169188 2.42 0.025 .0734652 .9756798 + | + minor | + 107 | -.3545993 .7276032 -0.49 0.631 -1.867733 1.158534 + 200 | -.2857382 .7480097 -0.38 0.706 -1.841309 1.269833 + 202 | -.5120967 .8891294 -0.58 0.571 -2.361143 1.336949 + 208 | -.1368205 .3964848 -0.35 0.733 -.9613558 .6877147 + 302 | -.0596742 .6891708 -0.09 0.932 -1.492883 1.373535 + 321 | -.6771651 .6475292 -1.05 0.308 -2.023776 .6694457 + 322 | -.4214788 .6556175 -0.64 0.527 -1.78491 .9419525 + 325 | -.4952047 .7502776 -0.66 0.516 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.6223001 + 1929 | .0624543 .7354679 0.08 0.933 -1.467035 1.591944 + 2000 | -.5878295 .6358865 -0.92 0.366 -1.910228 .7345688 + 2001 | -.9517151 .8383951 -1.14 0.269 -2.695253 .791823 + 2002 | -1.960812 .7679112 -2.55 0.019 -3.557771 -.3638532 + 2003 | -.6175814 .7264963 -0.85 0.405 -2.128413 .8932504 + 2004 | 1.279857 .872531 1.47 0.157 -.5346706 3.094385 + 2007 | -.1927042 .585543 -0.33 0.745 -1.410408 1.024999 + 2008 | -.4011248 .6347978 -0.63 0.534 -1.721259 .9190094 + 2011 | -.6214743 .6769268 -0.92 0.369 -2.029221 .7862722 + 2012 | -.3757691 .6850867 -0.55 0.589 -1.800485 1.048947 + 2100 | -.2795785 .620455 -0.45 0.657 -1.569885 1.010728 + 2101 | -.3071882 .7143295 -0.43 0.672 -1.792718 1.178341 + 2102 | -1.213649 1.367284 -0.89 0.385 -4.057072 1.629773 + 2103 | -.2622363 .7513411 -0.35 0.731 -1.824736 1.300263 + 2104 | -.6621343 .7718621 -0.86 0.401 -2.267309 .9430408 + | + house_administration | -.0757378 .3400303 -0.22 0.826 -.7828696 .631394 + house_agriculture | -.3563066 .4220505 -0.84 0.408 -1.234009 .5213955 + house_appropriations | -.1119584 .3262658 -0.34 0.735 -.7904652 .5665484 + house_armedservices | .2928781 .333459 0.88 0.390 -.4005878 .986344 + house_budget | -.575804 .5365872 -1.07 0.295 -1.691698 .5400902 + house_dc | 0 (omitted) + house_educlabor | -.3413613 .1927999 -1.77 0.091 -.7423106 .059588 + house_energycommerce | .0635328 .1584236 0.40 0.692 -.265927 .3929927 + house_foreignaffairs | -.1219479 .3270395 -0.37 0.713 -.8020639 .5581681 + house_governmentop | .6307094 .4644858 1.36 0.189 -.3352418 1.596661 + house_intelligence | -1.242491 1.004206 -1.24 0.230 -3.330851 .8458691 + house_interior | .0263331 .9498611 0.03 0.978 -1.949011 2.001677 + house_judiciary | -.2304178 .3696057 -0.62 0.540 -.9990549 .5382193 + house_mmf | 1.851262 .8219126 2.25 0.035 .1420017 3.560523 + house_pocs | 0 (omitted) + house_pwt | -.4905823 .3851003 -1.27 0.217 -1.291442 .3102776 + house_rules | .6678371 .2500798 2.67 0.014 .1477676 1.187907 + house_sst | -.5306997 1.483499 -0.36 0.724 -3.615805 2.554406 + house_smallbusi | .322145 .6778607 0.48 0.640 -1.087543 1.731833 + house_soc | 0 (omitted) + house_veterans | -.6077977 .5275108 -1.15 0.262 -1.704816 .4892209 + house_waysandmeans | -.0913749 .2015059 -0.45 0.655 -.5104294 .3276797 +house_naturalresources | -.2241935 .3834454 -0.58 0.565 -1.021612 .5732248 + house_bfs | -.3507232 .5277247 -0.66 0.514 -1.448187 .7467403 + house_eeo | -.1139797 .3739895 -0.30 0.764 -.8917335 .6637741 + house_govreform | -.4171872 .2166511 -1.93 0.068 -.8677379 .0333634 + house_ir | 0 (omitted) + house_natsecur | 0 (omitted) + house_oversight | .4949452 .3603228 1.37 0.184 -.2543872 1.244278 + house_resources | -1.161735 .3916146 -2.97 0.007 -1.976143 -.3473282 + house_science | 0 (omitted) + house_transp | -.1571873 .4744935 -0.33 0.744 -1.14395 .8295758 + house_homeland | 0 (omitted) + _cons | 1.709428 .829841 2.06 0.052 -.0163203 3.435177 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 22 1 0 1 1 + + +j = 4 k = 1 + + +rdbwselect_2014 m_betweenness_w_spons MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11990 +----------------------+---------------------- NN matches = 3 + Number of obs | 6151 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 20.32887 37.63122 .540213 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(6,677 missing values generated) +(54,574 missing values generated) +(47,897 real changes made) +reg m_betweenness_w_spons sponsor_female i.v2 i.minor house_* [aw=wt] if tag_bill==1, robust cluster(group_sponsor) +(sum of wgt is 119,191.404312134) + +Linear regression Number of obs = 55,672 + F(268, 4402) = . + Prob > F = . + R-squared = 0.0612 + Root MSE = .98231 + + (Std. Err. adjusted for 4,403 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + m_betweenness_w_spons | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -.0085725 .051284 -0.17 0.867 -.109115 .09197 + | + v2 | + 102 | -.0826765 .1050359 -0.79 0.431 -.2885996 .1232467 + 103 | .3485548 .180232 1.93 0.053 -.0047906 .7019001 + 104 | .3466511 .2420326 1.43 0.152 -.1278546 .8211568 + 105 | -.0376277 .1062276 -0.35 0.723 -.2458873 .1706319 + 106 | -.1806134 .1061724 -1.70 0.089 -.3887647 .0275378 + 107 | -.2113381 .1162455 -1.82 0.069 -.4392378 .0165616 + 108 | -.1966353 .1246242 -1.58 0.115 -.4409615 .0476908 + 109 | -.1488542 .1189724 -1.25 0.211 -.3820999 .0843916 + 110 | -.0809102 .1371582 -0.59 0.555 -.3498093 .1879889 + 111 | -.0845847 .1229661 -0.69 0.492 -.3256602 .1564908 + | + minor | + 101 | .1179829 .1620767 0.73 0.467 -.1997691 .4357348 + 103 | -.2880911 .1832859 -1.57 0.116 -.6474237 .0712415 + 104 | -.2367757 .2380081 -0.99 0.320 -.7033912 .2298399 + 105 | .2273801 .1474316 1.54 0.123 -.06166 .5164202 + 107 | .2431871 .1471663 1.65 0.099 -.0453328 .5317069 + 108 | .1546371 .1957088 0.79 0.429 -.2290506 .5383248 + 110 | .4673656 .2604645 1.79 0.073 -.0432758 .978007 + 200 | .0097746 .1527702 0.06 0.949 -.2897318 .3092811 + 201 | -.2876749 .1774295 -1.62 0.105 -.635526 .0601763 + 202 | -.0880637 .1408197 -0.63 0.532 -.3641411 .1880137 + 204 | 1.266935 .4990079 2.54 0.011 .2886288 2.245242 + 205 | .1402619 .1782817 0.79 0.431 -.20926 .4897838 + 206 | -.1241977 .1622965 -0.77 0.444 -.4423805 .1939852 + 207 | .2894944 .1955673 1.48 0.139 -.093916 .6729047 + 208 | .1116303 .1487936 0.75 0.453 -.1800801 .4033406 + 209 | -.4005924 .3937867 -1.02 0.309 -1.172613 .3714276 + 299 | .1810825 .1580355 1.15 0.252 -.1287466 .4909115 + 300 | .2489258 .1852301 1.34 0.179 -.1142184 .6120701 + 301 | .1626212 .1761334 0.92 0.356 -.1826888 .5079312 + 302 | .1979311 .1408149 1.41 0.160 -.078137 .4739991 + 321 | .2061297 .1562134 1.32 0.187 -.1001271 .5123865 + 322 | .3328356 .2629239 1.27 0.206 -.1826275 .8482987 + 323 | .0131539 .156117 0.08 0.933 -.2929139 .3192218 + 324 | .1402713 .1771009 0.79 0.428 -.2069356 .4874782 + 325 | .0708118 .1528978 0.46 0.643 -.2289447 .3705684 + 331 | .0559842 .1465143 0.38 0.702 -.2312576 .343226 + 332 | .3385385 .2698637 1.25 0.210 -.1905302 .8676072 + 333 | .0859582 .1558926 0.55 0.581 -.2196698 .3915862 + 334 | .208001 .1694829 1.23 0.220 -.1242708 .5402727 + 335 | .0690123 .164629 0.42 0.675 -.2537433 .3917678 + 336 | .1122936 .1707275 0.66 0.511 -.2224181 .4470053 + 341 | .075679 .1493975 0.51 0.612 -.2172152 .3685731 + 342 | .0529328 .2147809 0.25 0.805 -.3681459 .4740115 + 343 | .1749204 .1734878 1.01 0.313 -.165203 .5150438 + 344 | -.0643532 .182559 -0.35 0.724 -.4222607 .2935543 + 398 | .2362092 .2105445 1.12 0.262 -.1765639 .6489823 + 399 | .0492221 .1552992 0.32 0.751 -.2552425 .3536867 + 400 | .1138764 .173886 0.65 0.513 -.2270277 .4547805 + 401 | .1812186 .1641602 1.10 0.270 -.1406181 .5030552 + 402 | .2881438 .15767 1.83 0.068 -.0209687 .5972563 + 403 | .0246525 .1538921 0.16 0.873 -.2770533 .3263584 + 404 | .3103171 .187864 1.65 0.099 -.0579908 .6786251 + 405 | .8552102 .473281 1.81 0.071 -.0726587 1.783079 + 498 | 1.280967 1.267388 1.01 0.312 -1.203751 3.765686 + 499 | .1704197 .1773313 0.96 0.337 -.1772388 .5180783 + 500 | .1968727 .2316523 0.85 0.395 -.2572823 .6510277 + 501 | .6068625 .3413685 1.78 0.076 -.0623914 1.276116 + 502 | .1257646 .146188 0.86 0.390 -.1608374 .4123665 + 503 | .2797775 .1452122 1.93 0.054 -.0049115 .5644665 + 504 | .1183493 .1531956 0.77 0.440 -.1819912 .4186899 + 505 | .0545115 .1901057 0.29 0.774 -.3181913 .4272142 + 506 | .1067822 .1707681 0.63 0.532 -.2280092 .4415736 + 508 | .2039379 .1841827 1.11 0.268 -.1571529 .5650287 + 529 | .0792932 .1632043 0.49 0.627 -.2406694 .3992557 + 530 | .1452931 .1515596 0.96 0.338 -.15184 .4424262 + 599 | -.1303159 .310223 -0.42 0.674 -.738509 .4778771 + 600 | .2156792 .1683739 1.28 0.200 -.1144183 .5457767 + 601 | .217608 .1483855 1.47 0.143 -.0733022 .5085182 + 602 | .2690764 .1602645 1.68 0.093 -.0451226 .5832754 + 603 | .0609237 .1469796 0.41 0.679 -.2272303 .3490776 + 604 | .8567214 .5405501 1.58 0.113 -.2030287 1.916472 + 606 | .1727377 .1775912 0.97 0.331 -.1754305 .5209059 + 607 | .1867367 .1545068 1.21 0.227 -.1161743 .4896476 + 609 | .4338391 .2924977 1.48 0.138 -.1396036 1.007282 + 698 | -.0194102 .1601946 -0.12 0.904 -.3334722 .2946518 + 699 | .1046578 .1576314 0.66 0.507 -.2043789 .4136945 + 700 | .2790295 .2194862 1.27 0.204 -.1512739 .7093328 + 701 | .3358817 .1682319 2.00 0.046 .0060625 .6657008 + 703 | .1212382 .165118 0.73 0.463 -.202476 .4449525 + 704 | .1434837 .1590183 0.90 0.367 -.1682722 .4552396 + 705 | .0379996 .1498353 0.25 0.800 -.255753 .3317522 + 707 | .1247787 .228959 0.54 0.586 -.324096 .5736535 + 708 | -.105816 .1475268 -0.72 0.473 -.3950427 .1834107 + 709 | .3021353 .2117197 1.43 0.154 -.1129418 .7172125 + 710 | .2338535 .1589593 1.47 0.141 -.0777867 .5454937 + 711 | .2358923 .1843022 1.28 0.201 -.1254327 .5972173 + 798 | -.0013218 .1718844 -0.01 0.994 -.3383017 .3356581 + 799 | .1394573 .3058502 0.46 0.648 -.4601629 .7390776 + 800 | .2057369 .1658946 1.24 0.215 -.1195 .5309738 + 801 | .1644376 .1692092 0.97 0.331 -.1672976 .4961728 + 802 | .3042623 .3654694 0.83 0.405 -.4122416 1.020766 + 803 | .087333 .1531037 0.57 0.568 -.2128273 .3874933 + 805 | 1.570876 .849029 1.85 0.064 -.0936474 3.2354 + 806 | .3059609 .1511673 2.02 0.043 .009597 .6023248 + 807 | .0902752 .144743 0.62 0.533 -.193494 .3740444 + 898 | 1.127243 .7337553 1.54 0.125 -.3112864 2.565773 + 899 | .1188899 .2299855 0.52 0.605 -.3319973 .569777 + 1000 | -.0260923 .1590428 -0.16 0.870 -.3378962 .2857116 + 1001 | .0391482 .1587893 0.25 0.805 -.2721587 .3504552 + 1002 | .1205097 .1470167 0.82 0.412 -.1677171 .4087364 + 1003 | .0588557 .1525071 0.39 0.700 -.240135 .3578464 + 1005 | .1969199 .1722116 1.14 0.253 -.1407015 .5345413 + 1006 | .2580592 .151807 1.70 0.089 -.0395588 .5556773 + 1007 | .3659889 .1909512 1.92 0.055 -.0083716 .7403493 + 1010 | -.0512674 .2245728 -0.23 0.819 -.491543 .3890082 + 1098 | .1825164 .1906168 0.96 0.338 -.1911884 .5562211 + 1099 | .2429653 .2159258 1.13 0.261 -.1803579 .6662885 + 1200 | .1794093 .1625819 1.10 0.270 -.1393331 .4981516 + 1201 | .1529853 .1587027 0.96 0.335 -.1581518 .4641223 + 1202 | .1015081 .1987406 0.51 0.610 -.2881235 .4911397 + 1203 | .146561 .1503172 0.98 0.330 -.1481363 .4412582 + 1204 | .2399595 .1681479 1.43 0.154 -.089695 .5696139 + 1205 | .2163728 .1597615 1.35 0.176 -.0968401 .5295857 + 1206 | .4581349 .3265938 1.40 0.161 -.1821531 1.098423 + 1207 | .2438258 .1529043 1.59 0.111 -.0559436 .5435951 + 1208 | .1433537 .1731936 0.83 0.408 -.1961928 .4829002 + 1209 | .0699565 .1492594 0.47 0.639 -.2226671 .36258 + 1210 | .1732964 .1512126 1.15 0.252 -.1231564 .4697492 + 1211 | .0963499 .156587 0.62 0.538 -.2106395 .4033392 + 1299 | -.1014683 .1731661 -0.59 0.558 -.440961 .2380244 + 1300 | .110994 .1657862 0.67 0.503 -.2140304 .4360185 + 1301 | .1904495 .1535543 1.24 0.215 -.1105942 .4914933 + 1302 | .1790263 .1818325 0.98 0.325 -.1774569 .5355094 + 1303 | .2065117 .1952216 1.06 0.290 -.1762209 .5892443 + 1304 | .212454 .1939104 1.10 0.273 -.1677081 .592616 + 1305 | .4116388 .219068 1.88 0.060 -.0178447 .8411222 + 1399 | .0434647 .2104183 0.21 0.836 -.369061 .4559904 + 1400 | .2252571 .2277307 0.99 0.323 -.2212096 .6717239 + 1401 | .1785838 .2021468 0.88 0.377 -.2177256 .5748932 + 1403 | .0061245 .1580278 0.04 0.969 -.3036894 .3159384 + 1404 | .5982574 .669324 0.89 0.371 -.7139544 1.910469 + 1405 | .2087115 .1995121 1.05 0.296 -.1824325 .5998556 + 1406 | .0410943 .1779236 0.23 0.817 -.3077255 .3899141 + 1407 | .2566696 .2166134 1.18 0.236 -.1680017 .6813409 + 1408 | .064663 .2103013 0.31 0.758 -.3476333 .4769592 + 1409 | -.0732389 .1669855 -0.44 0.661 -.4006145 .2541366 + 1410 | .1381647 .1768498 0.78 0.435 -.2085499 .4848792 + 1499 | .310751 .3049155 1.02 0.308 -.2870367 .9085387 + 1500 | .2750929 .2007828 1.37 0.171 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.8038115 + 1705 | 1.961438 .976301 2.01 0.045 .047397 3.875479 + 1706 | .1839918 .1489462 1.24 0.217 -.1080176 .4760013 + 1707 | .4044961 .2739452 1.48 0.140 -.1325743 .9415665 + 1708 | .5573564 .1727275 3.23 0.001 .2187236 .8959893 + 1709 | .3550893 .1600264 2.22 0.027 .041357 .6688216 + 1798 | .3335255 .2010879 1.66 0.097 -.060708 .7277589 + 1799 | .2636183 .2095979 1.26 0.209 -.1472991 .6745356 + 1800 | .2892626 .2413106 1.20 0.231 -.1838275 .7623527 + 1802 | .2345989 .150626 1.56 0.119 -.0607038 .5299016 + 1803 | .098284 .1594107 0.62 0.538 -.2142411 .4108092 + 1804 | .2458482 .1688315 1.46 0.145 -.0851465 .5768429 + 1806 | .3905397 .2093083 1.87 0.062 -.0198098 .8008892 + 1807 | .4124577 .2007126 2.05 0.040 .0189601 .8059553 + 1808 | -.200667 .1549131 -1.30 0.195 -.5043745 .1030406 + 1899 | 1.045367 .4024707 2.60 0.009 .2563221 1.834412 + 1900 | .2242793 .1723751 1.30 0.193 -.1136626 .5622212 + 1901 | .1106196 .1438651 0.77 0.442 -.1714283 .3926676 + 1902 | .2916747 .1671243 1.75 0.081 -.035973 .6193223 + 1905 | -.1540722 .1425375 -1.08 0.280 -.4335174 .125373 + 1906 | .1264003 .158616 0.80 0.426 -.1845669 .4373676 + 1907 | -.0186217 .1925038 -0.10 0.923 -.396026 .3587825 + 1908 | -.0980863 .1652018 -0.59 0.553 -.4219649 .2257922 + 1909 | -.0105898 .1483364 -0.07 0.943 -.3014038 .2802242 + 1910 | .1741491 .1797925 0.97 0.333 -.1783346 .5266328 + 1911 | -.16782 .1572094 -1.07 0.286 -.4760296 .1403896 + 1912 | -.3522335 .2673229 -1.32 0.188 -.8763208 .1718538 + 1914 | -.0279544 .1666332 -0.17 0.867 -.3546392 .2987305 + 1915 | 1.157967 .5946099 1.95 0.052 -.0077675 2.323701 + 1919 | -.0713714 .1612126 -0.44 0.658 -.3874291 .2446863 + 1920 | .0537328 .1562274 0.34 0.731 -.2525515 .360017 + 1925 | .0217119 .1434134 0.15 0.880 -.2594506 .3028743 + 1926 | .2974115 .2125556 1.40 0.162 -.1193044 .7141274 + 1927 | .4814538 .217323 2.22 0.027 .0553913 .9075163 + 1929 | .0021055 .1463475 0.01 0.989 -.2848093 .2890202 + 1999 | .9069472 .8288048 1.09 0.274 -.7179271 2.531822 + 2000 | .0376313 .213034 0.18 0.860 -.3800225 .4552852 + 2001 | .0990485 .1184478 0.84 0.403 -.1331688 .3312657 + 2002 | .0893094 .1415119 0.63 0.528 -.188125 .3667439 + 2003 | .2621135 .1743228 1.50 0.133 -.0796469 .6038739 + 2004 | .3246625 .1776513 1.83 0.068 -.0236235 .6729485 + 2005 | .2593113 .1792463 1.45 0.148 -.0921016 .6107243 + 2006 | .2355179 .1466042 1.61 0.108 -.0519 .5229358 + 2007 | -.0444293 .1646021 -0.27 0.787 -.3671321 .2782735 + 2008 | .1496513 .1438424 1.04 0.298 -.1323523 .4316548 + 2009 | .3443567 .2093179 1.65 0.100 -.0660118 .7547251 + 2010 | .2663526 .1719449 1.55 0.121 -.070746 .6034511 + 2011 | .1526277 .1731668 0.88 0.378 -.1868664 .4921217 + 2012 | .3106866 .1787567 1.74 0.082 -.0397665 .6611398 + 2013 | -.0178417 .1722399 -0.10 0.918 -.3555186 .3198351 + 2014 | .2908814 .223633 1.30 0.193 -.1475518 .7293147 + 2015 | .2488861 .1992922 1.25 0.212 -.1418268 .6395991 + 2030 | .1496298 .176535 0.85 0.397 -.1964676 .4957272 + 2099 | .1383176 .2094476 0.66 0.509 -.2723051 .5489403 + 2100 | .1439025 .1997984 0.72 0.471 -.2478028 .5356079 + 2101 | .0613851 .1660068 0.37 0.712 -.2640717 .3868419 + 2102 | .2351797 .1650762 1.42 0.154 -.0884527 .5588121 + 2103 | .132054 .1522619 0.87 0.386 -.166456 .4305639 + 2104 | .0807362 .1660477 0.49 0.627 -.2448008 .4062732 + 2105 | .0129772 .2097449 0.06 0.951 -.3982283 .4241827 + 2199 | -.0426646 .481052 -0.09 0.929 -.9857685 .9004393 + 9999 | .1773808 .2283658 0.78 0.437 -.2703311 .6250926 + | + house_administration | -.0469402 .0667556 -0.70 0.482 -.1778147 .0839343 + house_agriculture | -.2204295 .0983865 -2.24 0.025 -.4133166 -.0275424 + house_appropriations | -.1253658 .0913596 -1.37 0.170 -.3044766 .0537451 + house_armedservices | -.0582074 .0429903 -1.35 0.176 -.1424901 .0260752 + house_budget | .0613977 .0806973 0.76 0.447 -.0968096 .219605 + house_dc | -.3368141 .2217585 -1.52 0.129 -.7715724 .0979442 + house_educlabor | -.1063926 .0351379 -3.03 0.002 -.1752806 -.0375046 + house_energycommerce | -.0281971 .0298221 -0.95 0.344 -.0866634 .0302692 + house_foreignaffairs | .0820658 .1050451 0.78 0.435 -.1238755 .288007 + house_governmentop | .0871102 .1099706 0.79 0.428 -.1284875 .302708 + house_intelligence | .049037 .0945918 0.52 0.604 -.1364105 .2344845 + house_interior | -.0349881 .092863 -0.38 0.706 -.2170462 .1470701 + house_judiciary | .0092561 .0299772 0.31 0.758 -.0495143 .0680266 + house_mmf | -.0950455 .1362527 -0.70 0.485 -.3621693 .1720783 + house_pocs | -.0327683 .1260456 -0.26 0.795 -.2798811 .2143446 + house_pwt | .0935216 .0592795 1.58 0.115 -.0226959 .2097392 + house_rules | -.0740725 .0448854 -1.65 0.099 -.1620705 .0139255 + house_sst | .0875084 .1369066 0.64 0.523 -.1808974 .3559141 + house_smallbusi | -.0002224 .1056292 -0.00 0.998 -.2073088 .206864 + house_soc | -.1150971 .1158188 -0.99 0.320 -.3421602 .111966 + house_veterans | .0394917 .0567099 0.70 0.486 -.0716883 .1506717 + house_waysandmeans | .0776286 .0233561 3.32 0.001 .031839 .1234183 +house_naturalresources | .0276091 .0712718 0.39 0.698 -.1121195 .1673378 + house_bfs | .0067646 .0399961 0.17 0.866 -.0716479 .0851771 + house_eeo | -.1893761 .2578573 -0.73 0.463 -.6949061 .3161539 + house_govreform | .1580669 .0890192 1.78 0.076 -.0164556 .3325893 + house_ir | .089633 .0593525 1.51 0.131 -.0267278 .2059938 + house_natsecur | -.2377452 .1273041 -1.87 0.062 -.4873253 .0118349 + house_oversight | -.1881056 .0884496 -2.13 0.034 -.3615113 -.0146999 + house_resources | .2380197 .118516 2.01 0.045 .0056687 .4703706 + house_science | -.1309861 .0651961 -2.01 0.045 -.2588032 -.003169 + house_transp | .0024992 .0432268 0.06 0.954 -.0822471 .0872455 + house_homeland | .0285324 .0543487 0.52 0.600 -.0780184 .1350832 + _cons | 1.667787 .1728636 9.65 0.000 1.328888 2.006687 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,403 1 0 1 1 + + +j = 4 k = 2 + + +rdbwselect_2014 m_betweenness_w_spons MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6187 +----------------------+---------------------- NN matches = 3 + Number of obs | 2193 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 16.46709 32.17044 .5118702 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(6,677 missing values generated) +(54,574 missing values generated) +(47,897 real changes made) +reg m_betweenness_w_spons sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==100 & tag_bill==1, robust cluster(group_sponsor) +(sum of wgt is 61,740.640145421) + +Linear regression Number of obs = 29,560 + F(269, 2277) = 15.34 + Prob > F = 0.0000 + R-squared = 0.1109 + Root MSE = .89084 + + (Std. Err. adjusted for 2,278 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + m_betweenness_w_spons | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -.0804365 .0643135 -1.25 0.211 -.2065557 .0456827 + | + v2 | + 102 | -.0842286 .1640689 -0.51 0.608 -.4059688 .2375117 + 103 | .1462042 .177736 0.82 0.411 -.2023372 .4947456 + 104 | .2854646 .5079029 0.56 0.574 -.7105363 1.281466 + 105 | -.2361787 .1645178 -1.44 0.151 -.5587992 .0864419 + 106 | -.4109104 .1545234 -2.66 0.008 -.7139319 -.107889 + 107 | -.4927656 .1582797 -3.11 0.002 -.8031532 -.182378 + 108 | -.5366239 .1619802 -3.31 0.001 -.854268 -.2189797 + 109 | -.5505552 .1616587 -3.41 0.001 -.867569 -.2335415 + 110 | -.3302665 .1595392 -2.07 0.039 -.643124 -.0174091 + 111 | -.2430452 .1646494 -1.48 0.140 -.5659237 .0798333 + | + minor | + 101 | -.2767873 .2783152 -0.99 0.320 -.8225652 .2689906 + 103 | -.5814988 .1602864 -3.63 0.000 -.8958214 -.2671761 + 104 | -.6515073 .3182847 -2.05 0.041 -1.275666 -.027349 + 105 | -.0820011 .1549464 -0.53 0.597 -.385852 .2218497 + 107 | .1499166 .1694349 0.88 0.376 -.1823464 .4821795 + 108 | .0875783 .2851017 0.31 0.759 -.471508 .6466645 + 110 | .4257531 .2440681 1.74 0.081 -.0528659 .9043722 + 200 | -.2592571 .1351363 -1.92 0.055 -.5242602 .005746 + 201 | -.4303281 .1794854 -2.40 0.017 -.7823001 -.0783561 + 202 | -.2995836 .1371973 -2.18 0.029 -.5686284 -.0305388 + 204 | -.2336366 .1987077 -1.18 0.240 -.6233036 .1560304 + 205 | -.1458943 .1501099 -0.97 0.331 -.4402609 .1484722 + 206 | -.2772723 .1639612 -1.69 0.091 -.5988012 .0442566 + 207 | -.3282351 .1346638 -2.44 0.015 -.5923116 -.0641586 + 208 | -.0877362 .145903 -0.60 0.548 -.373853 .1983806 + 209 | -.9211223 .2043725 -4.51 0.000 -1.321898 -.5203465 + 299 | -.3541132 .2075698 -1.71 0.088 -.7611589 .0529325 + 300 | -.1600487 .1504262 -1.06 0.287 -.4550355 .134938 + 301 | -.2237168 .1268462 -1.76 0.078 -.4724631 .0250295 + 302 | -.1094474 .1224805 -0.89 0.372 -.3496325 .1307378 + 321 | -.1736405 .1281201 -1.36 0.175 -.4248848 .0776037 + 322 | .2405854 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.0508998 + 1925 | -.188274 .13424 -1.40 0.161 -.4515195 .0749715 + 1926 | -.2189196 .1428282 -1.53 0.125 -.4990065 .0611674 + 1927 | -.0382107 .2352909 -0.16 0.871 -.4996176 .4231962 + 1929 | -.1060987 .1509741 -0.70 0.482 -.4021599 .1899625 + 1999 | -.0590976 .1862655 -0.32 0.751 -.4243654 .3061703 + 2000 | -.2973564 .17015 -1.75 0.081 -.6310217 .0363089 + 2001 | -.1441671 .1441189 -1.00 0.317 -.4267853 .138451 + 2002 | -.1685187 .1292746 -1.30 0.193 -.422027 .0849896 + 2003 | -.0166584 .1413213 -0.12 0.906 -.2937903 .2604735 + 2004 | -.0283711 .1262798 -0.22 0.822 -.2760066 .2192645 + 2005 | -.2523314 .1670447 -1.51 0.131 -.5799071 .0752443 + 2006 | .0236479 .1344323 0.18 0.860 -.2399747 .2872705 + 2007 | -.2972654 .1407453 -2.11 0.035 -.5732679 -.0212629 + 2008 | .0204083 .1249462 0.16 0.870 -.2246121 .2654287 + 2009 | .1971981 .2500072 0.79 0.430 -.2930677 .6874639 + 2010 | .2292556 .1297464 1.77 0.077 -.0251779 .4836891 + 2011 | -.2172891 .1913167 -1.14 0.256 -.5924623 .157884 + 2012 | -.1349802 .1570428 -0.86 0.390 -.4429421 .1729816 + 2013 | -.3174721 .1322031 -2.40 0.016 -.5767232 -.058221 + 2014 | -.319498 .1821668 -1.75 0.080 -.6767283 .0377323 + 2015 | -.0098858 .1682907 -0.06 0.953 -.3399048 .3201333 + 2030 | -.0633965 .1474362 -0.43 0.667 -.3525199 .2257269 + 2099 | -.2081623 .2010642 -1.04 0.301 -.6024505 .1861259 + 2100 | -.3544858 .2603768 -1.36 0.174 -.8650864 .1561149 + 2101 | -.2673628 .1789321 -1.49 0.135 -.6182498 .0835242 + 2102 | -.1071785 .1574828 -0.68 0.496 -.4160032 .2016462 + 2103 | -.0184044 .1616186 -0.11 0.909 -.3353395 .2985307 + 2104 | -.2491618 .16616 -1.50 0.134 -.5750025 .076679 + 2105 | -.3371663 .1730757 -1.95 0.052 -.6765689 .0022363 + 2199 | -.3017836 .6260239 -0.48 0.630 -1.52942 .9258532 + 9999 | .0070716 .2753824 0.03 0.980 -.5329551 .5470984 + | + house_administration | -.0374619 .0808366 -0.46 0.643 -.195983 .1210593 + house_agriculture | -.187934 .1491252 -1.26 0.208 -.4803695 .1045015 + house_appropriations | -.2798976 .0988397 -2.83 0.005 -.4737228 -.0860724 + house_armedservices | -.0374461 .0456561 -0.82 0.412 -.126978 .0520858 + house_budget | -.0541118 .0586102 -0.92 0.356 -.1690467 .0608231 + house_dc | -.4132382 .1827141 -2.26 0.024 -.7715417 -.0549347 + house_educlabor | -.0283343 .0495406 -0.57 0.567 -.1254837 .0688151 + house_energycommerce | -.0148139 .0331337 -0.45 0.655 -.0797893 .0501615 + house_foreignaffairs | .0091213 .0495773 0.18 0.854 -.0881 .1063427 + house_governmentop | .113244 .1926839 0.59 0.557 -.2646104 .4910984 + house_intelligence | .1595379 .0914502 1.74 0.081 -.0197964 .3388723 + house_interior | .0137773 .1325232 0.10 0.917 -.2461015 .2736561 + house_judiciary | .0124159 .0304186 0.41 0.683 -.0472352 .0720671 + house_mmf | -.428656 .1720874 -2.49 0.013 -.7661205 -.0911915 + house_pocs | -.1398082 .0990903 -1.41 0.158 -.3341249 .0545084 + house_pwt | .1145736 .0778974 1.47 0.141 -.0381837 .2673308 + house_rules | .0264715 .0513408 0.52 0.606 -.0742082 .1271512 + house_sst | -.0006725 .1419718 -0.00 0.996 -.2790801 .277735 + house_smallbusi | -.1163547 .056827 -2.05 0.041 -.2277928 -.0049165 + house_soc | -.0270806 .1534846 -0.18 0.860 -.3280649 .2739037 + house_veterans | .1233715 .069212 1.78 0.075 -.0123538 .2590967 + house_waysandmeans | .0493443 .0293918 1.68 0.093 -.0082933 .1069819 +house_naturalresources | .1064684 .0743574 1.43 0.152 -.0393469 .2522836 + house_bfs | -.0103507 .0418218 -0.25 0.805 -.0923634 .0716621 + house_eeo | -.6075942 .4654611 -1.31 0.192 -1.520366 .3051779 + house_govreform | .0077048 .0401919 0.19 0.848 -.0711117 .0865213 + house_ir | .032692 .0518942 0.63 0.529 -.0690729 .1344568 + house_natsecur | -.355807 .2534856 -1.40 0.161 -.8528938 .1412798 + house_oversight | -.0328878 .0512391 -0.64 0.521 -.133368 .0675924 + house_resources | .4818471 .2758452 1.75 0.081 -.059087 1.022781 + house_science | -.0759463 .0634007 -1.20 0.231 -.2002755 .0483828 + house_transp | -.0009566 .0599722 -0.02 0.987 -.1185623 .1166492 + house_homeland | .1123077 .0669367 1.68 0.094 -.0189556 .2435711 + _cons | 2.022945 .1680451 12.04 0.000 1.693407 2.352482 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,278 1 0 1 1 + + +j = 4 k = 3 + + +rdbwselect_2014 m_betweenness_w_spons MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 5.088335 13.4177 .3792256 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(6,677 missing values generated) +(54,574 missing values generated) +(47,897 real changes made) +reg m_betweenness_w_spons sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==200 & tag_bill==1, robust cluster(group_sponsor) +(sum of wgt is 52,072.0581558943) + +Linear regression Number of obs = 26,089 + F(267, 2120) = . + Prob > F = . + R-squared = 0.0569 + Root MSE = 1.0185 + + (Std. Err. adjusted for 2,121 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + m_betweenness_w_spons | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | .0898629 .0677304 1.33 0.185 -.042962 .2226878 + | + v2 | + 102 | -.0843852 .1321938 -0.64 0.523 -.3436283 .1748578 + 103 | .3071185 .2775702 1.11 0.269 -.2372198 .8514569 + 104 | .3329896 .1574112 2.12 0.035 .024293 .6416862 + 105 | .0798187 .1399575 0.57 0.569 -.1946496 .3542871 + 106 | -.0236973 .1410458 -0.17 0.867 -.3002999 .2529053 + 107 | .0316622 .1678178 0.19 0.850 -.2974425 .360767 + 108 | .0914249 .1734472 0.53 0.598 -.2487195 .4315693 + 109 | .1032411 .1529998 0.67 0.500 -.1968043 .4032865 + 110 | .1355692 .185828 0.73 0.466 -.228855 .4999934 + 111 | .0758564 .1826165 0.42 0.678 -.2822698 .4339826 + | + minor | + 101 | .1980779 .2567847 0.77 0.441 -.3054985 .7016542 + 103 | .2189177 .3363372 0.65 0.515 -.4406677 .8785031 + 104 | .1633532 .3490051 0.47 0.640 -.5210751 .8477814 + 105 | .5180787 .2751735 1.88 0.060 -.0215596 1.057717 + 107 | .4590657 .2434053 1.89 0.059 -.0182725 .9364039 + 108 | .2957779 .263127 1.12 0.261 -.2202362 .811792 + 110 | .4754023 .3924382 1.21 0.226 -.2942019 1.245006 + 200 | .3706691 .2703002 1.37 0.170 -.1594122 .9007504 + 201 | .4423907 .3228662 1.37 0.171 -.1907768 1.075558 + 202 | .0353808 .3315153 0.11 0.915 -.6147485 .6855101 + 204 | .7163662 .3190382 2.25 0.025 .0907056 1.342027 + 205 | .5699315 .3404635 1.67 0.094 -.0977459 1.237609 + 206 | .1527913 .2911167 0.52 0.600 -.418113 .7236955 + 207 | .735243 .2666724 2.76 0.006 .2122761 1.25821 + 208 | .3359003 .2521987 1.33 0.183 -.1586825 .8304831 + 209 | 1.108588 .2710405 4.09 0.000 .5770547 1.640121 + 299 | .2957746 .2553739 1.16 0.247 -.205035 .7965842 + 300 | .539154 .3002121 1.80 0.073 -.049587 1.127895 + 301 | .4490249 .2692998 1.67 0.096 -.0790944 .9771443 + 302 | .4272929 .2466695 1.73 0.083 -.0564467 .9110324 + 321 | .3984902 .2766244 1.44 0.150 -.1439933 .9409738 + 322 | .3189427 .2519861 1.27 0.206 -.1752231 .8131084 + 323 | .4083591 .260689 1.57 0.117 -.1028739 .9195921 + 324 | .5204052 .2794216 1.86 0.063 -.0275639 1.068374 + 325 | .2717979 .2627612 1.03 0.301 -.2434988 .7870946 + 331 | .1719332 .2477087 0.69 0.488 -.3138443 .6577107 + 332 | .3608792 .2575254 1.40 0.161 -.1441496 .865908 + 333 | .4227584 .2722404 1.55 0.121 -.1111279 .9566446 + 334 | .436461 .2543911 1.72 0.086 -.0624212 .9353432 + 335 | .2704905 .2648969 1.02 0.307 -.2489943 .7899754 + 336 | .5284518 .2958316 1.79 0.074 -.0516987 1.108602 + 341 | .426325 .2564078 1.66 0.097 -.0765122 .9291622 + 342 | .6785414 .4641409 1.46 0.144 -.2316778 1.588761 + 343 | .8205005 .3568877 2.30 0.022 .1206139 1.520387 + 344 | .2284459 .2640636 0.87 0.387 -.2894049 .7462968 + 398 | .4143297 .247102 1.68 0.094 -.0702581 .8989174 + 399 | .2714724 .263956 1.03 0.304 -.2461675 .7891122 + 400 | .4228115 .2813605 1.50 0.133 -.1289599 .974583 + 401 | .2057384 .2777176 0.74 0.459 -.3388891 .7503658 + 402 | .425682 .2461377 1.73 0.084 -.0570146 .9083785 + 403 | .4160337 .2596322 1.60 0.109 -.0931268 .9251941 + 404 | .4864176 .2589654 1.88 0.060 -.0214351 .9942704 + 405 | .7185293 .2850724 2.52 0.012 .1594785 1.27758 + 498 | .3267216 .276337 1.18 0.237 -.2151984 .8686416 + 499 | .2493389 .2688415 0.93 0.354 -.2778817 .7765595 + 500 | .8448967 .2999652 2.82 0.005 .2566399 1.433153 + 501 | 1.110735 .4340473 2.56 0.011 .2595324 1.961938 + 502 | .4978219 .2528312 1.97 0.049 .0019988 .9936451 + 503 | .7354808 .2470078 2.98 0.003 .2510779 1.219884 + 504 | .2915467 .2675527 1.09 0.276 -.2331464 .8162399 + 505 | .2939679 .2825801 1.04 0.298 -.2601954 .8481311 + 506 | .4123143 .3459528 1.19 0.233 -.266128 1.090757 + 508 | .9101756 .3451065 2.64 0.008 .233393 1.586958 + 529 | .3771855 .3047746 1.24 0.216 -.2205029 .9748739 + 530 | .5089541 .2780803 1.83 0.067 -.0363846 1.054293 + 599 | -.0424306 .3087586 -0.14 0.891 -.647932 .5630708 + 600 | .5106442 .2593889 1.97 0.049 .0019608 1.019328 + 601 | .5776308 .2588253 2.23 0.026 .0700528 1.085209 + 602 | .4646318 .2560856 1.81 0.070 -.0375734 .966837 + 603 | .184327 .2612469 0.71 0.481 -.328 .696654 + 604 | 1.74309 .5964369 2.92 0.004 .5734279 2.912753 + 606 | .3998151 .2931217 1.36 0.173 -.175021 .9746513 + 607 | .6499912 .3584339 1.81 0.070 -.0529277 1.35291 + 609 | 1.419657 .5073643 2.80 0.005 .4246727 2.41464 + 698 | .4025531 .2885311 1.40 0.163 -.1632805 .9683867 + 699 | .3081177 .2991518 1.03 0.303 -.2785439 .8947794 + 700 | .4927555 .2765668 1.78 0.075 -.0496151 1.035126 + 701 | .7583737 .2880953 2.63 0.009 .1933946 1.323353 + 703 | .3189791 .2569897 1.24 0.215 -.1849992 .8229575 + 704 | .5990297 .2755455 2.17 0.030 .0586619 1.139398 + 705 | .2057152 .2545424 0.81 0.419 -.2934638 .7048942 + 707 | .4565095 .2941936 1.55 0.121 -.1204289 1.033448 + 708 | .2822578 .3178315 0.89 0.375 -.3410362 .9055519 + 709 | .3896265 .2614701 1.49 0.136 -.1231382 .9023912 + 710 | .5181436 .2930096 1.77 0.077 -.0564726 1.09276 + 711 | .5597013 .2858344 1.96 0.050 -.0008438 1.120246 + 798 | .1716557 .275524 0.62 0.533 -.3686698 .7119813 + 799 | .6773441 .3428615 1.98 0.048 .004964 1.349724 + 800 | .631182 .3083353 2.05 0.041 .0265107 1.235853 + 801 | .3236647 .2619588 1.24 0.217 -.1900585 .8373879 + 802 | .3304867 .2647041 1.25 0.212 -.1886201 .8495935 + 803 | .3106897 .2593866 1.20 0.231 -.1979891 .8193685 + 805 | 1.705991 .8984175 1.90 0.058 -.0558811 3.467863 + 806 | .8504474 .3134991 2.71 0.007 .2356494 1.465245 + 807 | .3054735 .2532841 1.21 0.228 -.1912378 .8021848 + 898 | 1.139505 .3720496 3.06 0.002 .4098844 1.869125 + 899 | .1600545 .398571 0.40 0.688 -.6215765 .9416855 + 1000 | .5098799 .2752822 1.85 0.064 -.0299715 1.049731 + 1001 | .3959989 .2583593 1.53 0.125 -.1106653 .902663 + 1002 | .3557971 .25833 1.38 0.169 -.1508095 .8624038 + 1003 | .2513164 .2662988 0.94 0.345 -.2709178 .7735505 + 1005 | .6817173 .3116335 2.19 0.029 .0705778 1.292857 + 1006 | .650888 .2649062 2.46 0.014 .1313848 1.170391 + 1007 | .6094596 .2913657 2.09 0.037 .0380672 1.180852 + 1010 | .5689733 .2968847 1.92 0.055 -.0132423 1.151189 + 1098 | .7127595 .2907575 2.45 0.014 .1425597 1.282959 + 1099 | .4495991 .3061166 1.47 0.142 -.1507212 1.049919 + 1200 | .5227827 .2663052 1.96 0.050 .0005359 1.04503 + 1201 | .4375727 .2590802 1.69 0.091 -.0705052 .9456506 + 1202 | .2012456 .3360125 0.60 0.549 -.457703 .8601943 + 1203 | .5511598 .2542396 2.17 0.030 .0525747 1.049745 + 1204 | .4947021 .2923459 1.69 0.091 -.0786126 1.068017 + 1205 | .5175169 .2801935 1.85 0.065 -.0319661 1.067 + 1206 | 1.253872 .5351319 2.34 0.019 .2044333 2.30331 + 1207 | .4422193 .2603265 1.70 0.090 -.0683027 .9527413 + 1208 | .3001871 .2522349 1.19 0.234 -.1944666 .7948407 + 1209 | .3629136 .2722327 1.33 0.183 -.1709575 .8967847 + 1210 | .3132863 .2669206 1.17 0.241 -.2101673 .83674 + 1211 | .443262 .2669641 1.66 0.097 -.0802768 .9668008 + 1299 | .1292886 .2787659 0.46 0.643 -.4173947 .6759719 + 1300 | .3863526 .276756 1.40 0.163 -.156389 .9290943 + 1301 | .4336091 .3019045 1.44 0.151 -.1584509 1.025669 + 1302 | .7969321 .2951569 2.70 0.007 .2181047 1.375759 + 1303 | .3683886 .2480408 1.49 0.138 -.1180402 .8548174 + 1304 | .6947082 .3493682 1.99 0.047 .0095679 1.379849 + 1305 | 1.1369 .4103029 2.77 0.006 .3322617 1.941538 + 1399 | .5748204 .2697925 2.13 0.033 .0457348 1.103906 + 1400 | .5869338 .3113555 1.89 0.060 -.0236604 1.197528 + 1401 | .6621262 .2993346 2.21 0.027 .0751061 1.249146 + 1403 | .3690507 .2708592 1.36 0.173 -.1621268 .9002282 + 1404 | 1.398712 .5177877 2.70 0.007 .383287 2.414137 + 1405 | .4139821 .3127032 1.32 0.186 -.199255 1.027219 + 1406 | .4952157 .288018 1.72 0.086 -.0696116 1.060043 + 1407 | .3066441 .3444412 0.89 0.373 -.3688339 .982122 + 1408 | .1992579 .3263591 0.61 0.542 -.4407597 .8392754 + 1409 | .1758822 .2629315 0.67 0.504 -.3397483 .6915128 + 1410 | .3955107 .3035419 1.30 0.193 -.1997603 .9907816 + 1499 | .8605979 .5313697 1.62 0.105 -.1814626 1.902658 + 1500 | .6056154 .2710203 2.23 0.026 .0741218 1.137109 + 1501 | .4030119 .2481597 1.62 0.105 -.0836501 .8896738 + 1502 | .3483727 .2501688 1.39 0.164 -.1422293 .8389747 + 1504 | .5165209 .2525848 2.04 0.041 .0211809 1.011861 + 1505 | .417312 .2589333 1.61 0.107 -.0904779 .9251019 + 1507 | .2968334 .3486636 0.85 0.395 -.3869251 .980592 + 1520 | .3810076 .2826443 1.35 0.178 -.1732815 .9352967 + 1521 | .527289 .2540775 2.08 0.038 .0290218 1.025556 + 1522 | .3680707 .2778206 1.32 0.185 -.1767587 .9129002 + 1523 | .4340906 .2683639 1.62 0.106 -.0921934 .9603746 + 1524 | .4512929 .2525031 1.79 0.074 -.0438869 .9464726 + 1525 | .4244276 .2707626 1.57 0.117 -.1065606 .9554157 + 1526 | .4520996 .2580833 1.75 0.080 -.0540234 .9582225 + 1599 | .5184752 .2981394 1.74 0.082 -.0662011 1.103151 + 1600 | .4297372 .4029984 1.07 0.286 -.3605763 1.220051 + 1602 | .3367324 .307069 1.10 0.273 -.2654556 .9389203 + 1603 | .3562782 .3406928 1.05 0.296 -.3118489 1.024405 + 1604 | .3956073 .2555542 1.55 0.122 -.1055559 .8967705 + 1605 | .2910137 .2499879 1.16 0.245 -.1992334 .7812609 + 1606 | .9180026 .351051 2.62 0.009 .2295622 1.606443 + 1608 | .3814194 .2489351 1.53 0.126 -.1067631 .869602 + 1609 | .6282189 .2877348 2.18 0.029 .063947 1.192491 + 1610 | .175893 .2649998 0.66 0.507 -.3437938 .6955799 + 1611 | .1633138 .2869407 0.57 0.569 -.399401 .7260286 + 1612 | .5216773 .2749643 1.90 0.058 -.0175507 1.060905 + 1614 | .2874042 .4012722 0.72 0.474 -.4995241 1.074332 + 1615 | .412477 .2631932 1.57 0.117 -.1036668 .9286209 + 1616 | .4291072 .2903596 1.48 0.140 -.1403122 .9985266 + 1617 | .434043 .2760951 1.57 0.116 -.1074024 .9754885 + 1619 | -.0067423 .287719 -0.02 0.981 -.5709833 .5574986 + 1620 | .8905966 .4245325 2.10 0.036 .0580529 1.72314 + 1698 | .4999814 .3337718 1.50 0.134 -.1545731 1.154536 + 1699 | .3584878 .2621608 1.37 0.172 -.1556314 .872607 + 1700 | .5031957 .2808012 1.79 0.073 -.047479 1.05387 + 1701 | .8989171 .3899064 2.31 0.021 .1342781 1.663556 + 1704 | .4614306 .2986638 1.54 0.122 -.1242739 1.047135 + 1705 | 1.688557 1.236412 1.37 0.172 -.7361505 4.113264 + 1706 | .4299318 .2527221 1.70 0.089 -.0656773 .9255409 + 1707 | .4679754 .2802759 1.67 0.095 -.0816691 1.01762 + 1708 | .8588075 .2720326 3.16 0.002 .3253289 1.392286 + 1709 | .4385645 .256504 1.71 0.087 -.0644613 .9415903 + 1798 | .607555 .3396021 1.79 0.074 -.0584331 1.273543 + 1799 | .7203493 .3719202 1.94 0.053 -.0090173 1.449716 + 1800 | .9969781 .4644592 2.15 0.032 .0861348 1.907821 + 1802 | .5045498 .2790517 1.81 0.071 -.042694 1.051794 + 1803 | .5889762 .3135068 1.88 0.060 -.0258369 1.203789 + 1804 | .4799478 .2747868 1.75 0.081 -.0589321 1.018828 + 1806 | .5489072 .2746584 2.00 0.046 .0102791 1.087535 + 1807 | .7117516 .3057525 2.33 0.020 .1121455 1.311358 + 1808 | -.1482317 .2744999 -0.54 0.589 -.686549 .3900856 + 1899 | .7814223 .9380544 0.83 0.405 -1.058181 2.621025 + 1900 | .4060964 .2877023 1.41 0.158 -.1581119 .9703047 + 1901 | .3849907 .2555552 1.51 0.132 -.1161744 .8861558 + 1902 | .7894582 .2895926 2.73 0.006 .2215428 1.357374 + 1905 | .2557104 .2660357 0.96 0.337 -.2660079 .7774287 + 1906 | .2003216 .2767613 0.72 0.469 -.3424303 .7430736 + 1907 | .1914991 .3069459 0.62 0.533 -.4104474 .7934456 + 1908 | .0906008 .2953678 0.31 0.759 -.4886402 .6698417 + 1909 | .194438 .2542979 0.76 0.445 -.3042616 .6931375 + 1910 | .3921225 .2967481 1.32 0.187 -.1898253 .9740703 + 1911 | .2987709 .2865733 1.04 0.297 -.2632233 .8607651 + 1912 | .3670105 .2597842 1.41 0.158 -.1424481 .8764691 + 1914 | .4419299 .2543014 1.74 0.082 -.0567763 .9406361 + 1915 | 1.332845 1.073145 1.24 0.214 -.771681 3.437372 + 1919 | .2868903 .2628872 1.09 0.275 -.2286535 .8024342 + 1920 | .520611 .2849142 1.83 0.068 -.0381296 1.079352 + 1925 | .3119921 .254789 1.22 0.221 -.1876705 .8116546 + 1926 | .3961807 .2583471 1.53 0.125 -.1104596 .902821 + 1927 | .4694551 .2650063 1.77 0.077 -.0502443 .9891546 + 1929 | .2696575 .2816799 0.96 0.339 -.2827404 .8220553 + 1999 | 2.038053 1.41218 1.44 0.149 -.7313506 4.807456 + 2000 | .4750822 .3876646 1.23 0.221 -.2851606 1.235325 + 2001 | .3095454 .1868092 1.66 0.098 -.056803 .6758939 + 2002 | .2433985 .241051 1.01 0.313 -.2293227 .7161197 + 2003 | .4834585 .3385612 1.43 0.153 -.1804883 1.147405 + 2004 | .7448424 .3645589 2.04 0.041 .0299119 1.459773 + 2005 | .3930203 .2817411 1.39 0.163 -.1594976 .9455381 + 2006 | .383137 .2413913 1.59 0.113 -.0902515 .8565255 + 2007 | .4293853 .2340548 1.83 0.067 -.0296158 .8883864 + 2008 | .3002177 .2492718 1.20 0.229 -.1886252 .7890606 + 2009 | .5435013 .3153565 1.72 0.085 -.0749391 1.161942 + 2011 | .3989265 .2761169 1.44 0.149 -.1425618 .9404147 + 2012 | .6319381 .2887562 2.19 0.029 .0656631 1.198213 + 2013 | .382207 .2556921 1.49 0.135 -.1192265 .8836406 + 2014 | .6067339 .2810432 2.16 0.031 .0555848 1.157883 + 2015 | .6740605 .4028369 1.67 0.094 -.1159364 1.464057 + 2030 | .2500183 .2883525 0.87 0.386 -.315465 .8155016 + 2099 | .5751965 .3734352 1.54 0.124 -.1571412 1.307534 + 2100 | .5936793 .2928756 2.03 0.043 .0193258 1.168033 + 2101 | .376709 .265275 1.42 0.156 -.1435176 .8969355 + 2102 | .7218589 .2831758 2.55 0.011 .1665276 1.27719 + 2103 | .2934234 .2540665 1.15 0.248 -.2048222 .791669 + 2104 | .4512942 .2673617 1.69 0.092 -.0730245 .9756128 + 2105 | .4612814 .3810071 1.21 0.226 -.2859054 1.208468 + 2199 | .4597277 .3410566 1.35 0.178 -.2091128 1.128568 + 9999 | .270617 .3697494 0.73 0.464 -.4544923 .9957264 + | + house_administration | -.0272774 .1129986 -0.24 0.809 -.2488772 .1943224 + house_agriculture | -.1754772 .0541341 -3.24 0.001 -.2816387 -.0693157 + house_appropriations | -.1669861 .1681812 -0.99 0.321 -.4968034 .1628312 + house_armedservices | .0594185 .062858 0.95 0.345 -.0638513 .1826882 + house_budget | .1021969 .1330081 0.77 0.442 -.1586432 .3630369 + house_dc | -.0122764 .265536 -0.05 0.963 -.5330147 .5084619 + house_educlabor | -.075285 .0417416 -1.80 0.071 -.1571437 .0065738 + house_energycommerce | .0238961 .0338624 0.71 0.480 -.0425109 .0903031 + house_foreignaffairs | -.0284935 .0852239 -0.33 0.738 -.1956247 .1386378 + house_governmentop | -.1144603 .0989872 -1.16 0.248 -.3085824 .0796618 + house_intelligence | .0732977 .1493702 0.49 0.624 -.2196298 .3662252 + house_interior | -.1667727 .1076328 -1.55 0.121 -.3778497 .0443043 + house_judiciary | -.0152194 .0514707 -0.30 0.767 -.1161578 .085719 + house_mmf | .0021007 .1302476 0.02 0.987 -.2533257 .2575271 + house_pocs | .1764116 .2499989 0.71 0.480 -.3138572 .6666804 + house_pwt | .025232 .0862208 0.29 0.770 -.1438542 .1943182 + house_rules | -.1650166 .068152 -2.42 0.016 -.2986683 -.0313649 + house_sst | .2223124 .128017 1.74 0.083 -.0287397 .4733645 + house_smallbusi | -.0042173 .1899567 -0.02 0.982 -.3767382 .3683037 + house_soc | .1669343 .1619994 1.03 0.303 -.1507601 .4846287 + house_veterans | -.074125 .0770672 -0.96 0.336 -.2252602 .0770101 + house_waysandmeans | .0003905 .0312788 0.01 0.990 -.0609499 .0617308 +house_naturalresources | -.0470779 .1133497 -0.42 0.678 -.2693661 .1752104 + house_bfs | -.0130816 .0629282 -0.21 0.835 -.1364891 .1103259 + house_eeo | .1241591 .1706331 0.73 0.467 -.2104668 .458785 + house_govreform | .2617756 .0872803 3.00 0.003 .0906115 .4329396 + house_ir | .146718 .11203 1.31 0.190 -.0729822 .3664182 + house_natsecur | -.0531779 .1125205 -0.47 0.637 -.2738399 .1674842 + house_oversight | -.3457923 .111612 -3.10 0.002 -.5646728 -.1269118 + house_resources | .0241282 .0872091 0.28 0.782 -.1468961 .1951524 + house_science | -.1006161 .0846573 -1.19 0.235 -.2666361 .0654039 + house_transp | -.0742471 .0589321 -1.26 0.208 -.1898179 .0413237 + house_homeland | -.1336742 .0894193 -1.49 0.135 -.3090329 .0416845 + _cons | 1.402528 .2767357 5.07 0.000 .8598265 1.94523 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,121 1 0 1 1 + + +j = 5 k = 1 + + +rdbwselect_2014 m_betweenness_w_spons MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11990 +----------------------+---------------------- NN matches = 3 + Number of obs | 6151 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 20.32887 37.63122 .540213 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(7,341 missing values generated) +(54,749 missing values generated) +(47,408 real changes made) +reg m_betweenness_w_spons sponsor_female i.v2 i.minor house_* [aw=wt] if tag_bill==1, robust cluster(group_sponsor) +(sum of wgt is 111,694.626223445) + +Linear regression Number of obs = 55,008 + F(268, 4357) = . + Prob > F = . + R-squared = 0.0805 + Root MSE = .93934 + + (Std. Err. adjusted for 4,358 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + m_betweenness_w_spons | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -.0466827 .0500988 -0.93 0.351 -.1449018 .0515364 + | + v2 | + 102 | -.0429786 .0670247 -0.64 0.521 -.174381 .0884239 + 103 | .5174345 .2102102 2.46 0.014 .1053155 .9295535 + 104 | .3593194 .1957865 1.84 0.067 -.0245216 .7431604 + 105 | .0810812 .0759047 1.07 0.285 -.0677306 .229893 + 106 | -.0753074 .0736632 -1.02 0.307 -.2197247 .0691099 + 107 | -.1121761 .0766536 -1.46 0.143 -.2624562 .0381039 + 108 | -.1635349 .0750801 -2.18 0.029 -.3107301 -.0163397 + 109 | -.1147584 .0823101 -1.39 0.163 -.276128 .0466111 + 110 | -.0465898 .0996663 -0.47 0.640 -.2419864 .1488069 + 111 | -.0054384 .0901213 -0.06 0.952 -.1821219 .1712451 + | + minor | + 101 | .0743629 .200307 0.37 0.710 -.3183406 .4670664 + 103 | -.3590273 .230333 -1.56 0.119 -.8105972 .0925425 + 104 | -.2080933 .2784138 -0.75 0.455 -.7539259 .3377393 + 105 | .1111631 .1700196 0.65 0.513 -.2221617 .4444879 + 107 | .1629877 .1668317 0.98 0.329 -.1640873 .4900627 + 108 | .1814918 .216391 0.84 0.402 -.2427446 .6057282 + 110 | .2649985 .2869461 0.92 0.356 -.2975618 .8275588 + 200 | -.0552274 .1851902 -0.30 0.766 -.4182944 .3078396 + 201 | -.3225399 .1924198 -1.68 0.094 -.6997806 .0547009 + 202 | .0301564 .1667163 0.18 0.856 -.2966924 .3570052 + 204 | 1.467236 .4575789 3.21 0.001 .5701487 2.364324 + 205 | .1975047 .2514412 0.79 0.432 -.2954479 .6904573 + 206 | -.1814047 .1849985 -0.98 0.327 -.5440959 .1812864 + 207 | .0560877 .2141474 0.26 0.793 -.3637501 .4759255 + 208 | .0609103 .1859434 0.33 0.743 -.3036334 .4254539 + 209 | -.3112191 .4496987 -0.69 0.489 -1.192857 .5704192 + 299 | .139748 .1971443 0.71 0.478 -.2467551 .526251 + 300 | .1246062 .1787023 0.70 0.486 -.2257412 .4749535 + 301 | .1383231 .2680696 0.52 0.606 -.3872296 .6638758 + 302 | .1038933 .1663445 0.62 0.532 -.2222265 .4300132 + 321 | .2080975 .1763279 1.18 0.238 -.1375949 .55379 + 322 | .2013654 .2390495 0.84 0.400 -.2672933 .670024 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0.97 0.330 -.193197 .5745904 + 798 | -.082899 .1797036 -0.46 0.645 -.4352095 .2694115 + 799 | .0786782 .2941892 0.27 0.789 -.4980823 .6554386 + 800 | .1134774 .1857138 0.61 0.541 -.250616 .4775708 + 801 | .0238736 .1966004 0.12 0.903 -.3615632 .4093104 + 802 | .2014163 .3301315 0.61 0.542 -.4458094 .8486421 + 803 | .0526536 .1787513 0.29 0.768 -.2977899 .4030971 + 805 | 1.616691 .8898542 1.82 0.069 -.1278756 3.361258 + 806 | .2684044 .1906068 1.41 0.159 -.1052819 .6420906 + 807 | -.0197048 .1718512 -0.11 0.909 -.3566207 .317211 + 898 | .7218413 .4947704 1.46 0.145 -.2481603 1.691843 + 899 | .0633699 .2420835 0.26 0.794 -.411237 .5379768 + 1000 | -.037774 .1865048 -0.20 0.840 -.4034182 .3278703 + 1001 | .0065526 .1906476 0.03 0.973 -.3672136 .3803189 + 1002 | .0289315 .1731621 0.17 0.867 -.3105543 .3684173 + 1003 | .0324738 .1671407 0.19 0.846 -.295207 .3601546 + 1005 | -.0261558 .2655437 -0.10 0.922 -.5467566 .494445 + 1006 | .1485054 .1041219 1.43 0.154 -.0556264 .3526373 + 1007 | 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| .369397 .2334534 1.58 0.114 -.0882905 .8270845 + 1705 | 1.784183 .8279319 2.15 0.031 .1610152 3.40735 + 1706 | .1499372 .1715513 0.87 0.382 -.1863906 .486265 + 1707 | .1867771 .1912748 0.98 0.329 -.1882188 .5617729 + 1708 | .4183996 .1957902 2.14 0.033 .0345511 .802248 + 1709 | .3311786 .1849741 1.79 0.073 -.0314648 .693822 + 1798 | .1592676 .1876159 0.85 0.396 -.2085551 .5270902 + 1799 | .2329875 .2245083 1.04 0.299 -.2071629 .6731379 + 1800 | .0445046 .1762221 0.25 0.801 -.3009803 .3899896 + 1802 | .1138303 .1632503 0.70 0.486 -.2062233 .433884 + 1803 | -.0220558 .1371688 -0.16 0.872 -.2909764 .2468649 + 1804 | .2131452 .1896179 1.12 0.261 -.1586022 .5848927 + 1806 | .278794 .2090101 1.33 0.182 -.130972 .68856 + 1807 | .2769946 .2102848 1.32 0.188 -.1352706 .6892598 + 1808 | -.2157741 .2031325 -1.06 0.288 -.6140171 .1824688 + 1899 | 1.049325 .4280615 2.45 0.014 .2101069 1.888544 + 1900 | .1057839 .1604995 0.66 0.510 -.2088766 .4204445 + 1901 | .0818196 .1416088 0.58 0.563 -.1958057 .3594449 + 1902 | .3291795 .2579731 1.28 0.202 -.1765791 .834938 + 1905 | -.2433656 .1038183 -2.34 0.019 -.4469023 -.0398289 + 1906 | .050834 .1664262 0.31 0.760 -.275446 .3771139 + 1907 | -.1184214 .1924703 -0.62 0.538 -.4957612 .2589183 + 1908 | -.1950289 .1516887 -1.29 0.199 -.4924159 .1023581 + 1909 | -.1075086 .1462525 -0.74 0.462 -.3942379 .1792208 + 1910 | .0486077 .1784193 0.27 0.785 -.3011848 .3984003 + 1911 | -.2814131 .1623147 -1.73 0.083 -.5996325 .0368063 + 1912 | -.6006864 .2616522 -2.30 0.022 -1.113658 -.087715 + 1914 | -.1449045 .1444061 -1.00 0.316 -.4280139 .1382048 + 1915 | 1.002811 .5631728 1.78 0.075 -.1012943 2.106916 + 1919 | -.1443044 .132702 -1.09 0.277 -.4044678 .115859 + 1920 | .0538725 .1362514 0.40 0.693 -.2132495 .3209946 + 1925 | -.0314345 .1094634 -0.29 0.774 -.2460384 .1831694 + 1926 | .3279752 .2011814 1.63 0.103 -.0664427 .7223932 + 1927 | .3640038 .2837336 1.28 0.200 -.1922583 .920266 + 1929 | -.0570172 .1149608 -0.50 0.620 -.2823989 .1683646 + 1999 | .5891315 .7033314 0.84 0.402 -.7897558 1.968019 + 2000 | -.052299 .1995116 -0.26 0.793 -.4434432 .3388451 + 2001 | .0080151 .1036038 0.08 0.938 -.195101 .2111312 + 2002 | .0473341 .1707476 0.28 0.782 -.2874181 .3820863 + 2003 | .2100459 .1907886 1.10 0.271 -.1639968 .5840886 + 2004 | .0938913 .189546 0.50 0.620 -.2777152 .4654978 + 2005 | .1237604 .2126973 0.58 0.561 -.2932345 .5407553 + 2006 | .0566027 .1791838 0.32 0.752 -.2946887 .407894 + 2007 | -.0808133 .1753051 -0.46 0.645 -.4245006 .2628739 + 2008 | .1261906 .1741949 0.72 0.469 -.21532 .4677012 + 2009 | .3405323 .2119638 1.61 0.108 -.0750245 .7560891 + 2010 | .2929164 .2056297 1.42 0.154 -.1102224 .6960552 + 2011 | .0813126 .1756472 0.46 0.643 -.2630453 .4256704 + 2012 | .2150139 .2393036 0.90 0.369 -.2541429 .6841708 + 2013 | .0820864 .1787825 0.46 0.646 -.2684184 .4325911 + 2014 | .1053832 .221232 0.48 0.634 -.328344 .5391104 + 2015 | .1940744 .2367224 0.82 0.412 -.2700219 .6581706 + 2030 | .2545396 .2095482 1.21 0.225 -.1562815 .6653607 + 2099 | .1400265 .2216874 0.63 0.528 -.2945935 .5746465 + 2100 | .0590785 .2008532 0.29 0.769 -.334696 .4528529 + 2101 | -.0118303 .1854732 -0.06 0.949 -.375452 .3517914 + 2102 | .2095737 .1989756 1.05 0.292 -.1805198 .5996671 + 2103 | .0346839 .1772953 0.20 0.845 -.3129051 .3822729 + 2104 | .0398336 .1849332 0.22 0.829 -.3227296 .4023967 + 2105 | -.0372523 .2132704 -0.17 0.861 -.4553707 .3808661 + 2199 | -.2344488 .4538128 -0.52 0.605 -1.124153 .655255 + 9999 | .2197363 .2457968 0.89 0.371 -.2621505 .7016231 + | + house_administration | -.0320046 .0507219 -0.63 0.528 -.1314453 .0674361 + house_agriculture | -.1688474 .0839148 -2.01 0.044 -.333363 -.0043317 + house_appropriations | -.0590462 .1011905 -0.58 0.560 -.2574311 .1393387 + house_armedservices | -.1557868 .0696263 -2.24 0.025 -.2922898 -.0192839 + house_budget | .0664076 .0855436 0.78 0.438 -.1013014 .2341166 + house_dc | -.3019766 .2034156 -1.48 0.138 -.7007746 .0968214 + house_educlabor | -.0956906 .023365 -4.10 0.000 -.1414979 -.0498833 + house_energycommerce | -.014371 .026821 -0.54 0.592 -.0669538 .0382117 + house_foreignaffairs | .1874245 .1482626 1.26 0.206 -.1032456 .4780946 + house_governmentop | .1240317 .0677526 1.83 0.067 -.0087978 .2568613 + house_intelligence | .1714512 .0937289 1.83 0.067 -.0123051 .3552074 + house_interior | .0061897 .0761314 0.08 0.935 -.1430665 .1554459 + house_judiciary | -.0144357 .037848 -0.38 0.703 -.0886371 .0597657 + house_mmf | .0559271 .190483 0.29 0.769 -.3175165 .4293708 + house_pocs | -.1315456 .0677166 -1.94 0.052 -.2643045 .0012134 + house_pwt | .0681961 .0518855 1.31 0.189 -.0335258 .1699181 + house_rules | -.0489564 .0434164 -1.13 0.260 -.1340747 .0361618 + house_sst | -.0588885 .1241817 -0.47 0.635 -.3023479 .1845708 + house_smallbusi | .136224 .1210373 1.13 0.260 -.1010707 .3735186 + house_soc | -.0556934 .1237787 -0.45 0.653 -.2983625 .1869758 + house_veterans | .0177896 .0393728 0.45 0.651 -.0594012 .0949804 + house_waysandmeans | .0803358 .0200157 4.01 0.000 .0410948 .1195767 +house_naturalresources | .0524973 .0748769 0.70 0.483 -.0942995 .1992942 + house_bfs | .0407777 .0437785 0.93 0.352 -.0450504 .1266057 + house_eeo | -.3066111 .2129305 -1.44 0.150 -.7240633 .1108411 + house_govreform | .0678957 .0432093 1.57 0.116 -.0168164 .1526079 + house_ir | .0891231 .0711485 1.25 0.210 -.0503641 .2286104 + house_natsecur | -.277149 .1072391 -2.58 0.010 -.4873923 -.0669058 + house_oversight | -.1106567 .0588865 -1.88 0.060 -.2261043 .0047908 + house_resources | .2599445 .1057863 2.46 0.014 .0525496 .4673394 + house_science | -.100739 .0643091 -1.57 0.117 -.2268176 .0253396 + house_transp | .0365423 .038956 0.94 0.348 -.0398313 .1129159 + house_homeland | .0322341 .0660264 0.49 0.625 -.0972113 .1616795 + _cons | 1.668705 .2069409 8.06 0.000 1.262996 2.074414 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,358 1 0 1 1 + + +j = 5 k = 2 + + +rdbwselect_2014 m_betweenness_w_spons MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6187 +----------------------+---------------------- NN matches = 3 + Number of obs | 2193 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 16.46709 32.17044 .5118702 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(7,341 missing values generated) +(54,749 missing values generated) +(47,408 real changes made) +reg m_betweenness_w_spons sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==100 & tag_bill==1, robust cluster(group_sponsor) +(sum of wgt is 59,028.2311469316) + +Linear regression Number of obs = 29,364 + F(268, 2264) = . + Prob > F = . + R-squared = 0.1068 + Root MSE = .84341 + + (Std. Err. adjusted for 2,265 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + m_betweenness_w_spons | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -.1137753 .057035 -1.99 0.046 -.2256217 -.0019289 + | + v2 | + 102 | -.0827652 .1306285 -0.63 0.526 -.3389293 .1733988 + 103 | .2390059 .1465985 1.63 0.103 -.0484757 .5264874 + 104 | .2175338 .4220236 0.52 0.606 -.6100598 1.045127 + 105 | -.1794996 .140296 -1.28 0.201 -.4546218 .0956226 + 106 | -.3624245 .1275621 -2.84 0.005 -.6125752 -.1122737 + 107 | -.4324996 .1307567 -3.31 0.001 -.688915 -.1760842 + 108 | -.508963 .1310497 -3.88 0.000 -.7659531 -.2519729 + 109 | -.4897771 .1332025 -3.68 0.000 -.7509889 -.2285653 + 110 | -.3143129 .1269067 -2.48 0.013 -.5631784 -.0654474 + 111 | -.2136681 .1356118 -1.58 0.115 -.4796046 .0522684 + | + minor | + 101 | -.2237008 .2853791 -0.78 0.433 -.7833327 .3359312 + 103 | -.5863467 .1800065 -3.26 0.001 -.9393416 -.2333518 + 104 | -.5368079 .3299027 -1.63 0.104 -1.183751 .1101354 + 105 | -.0371415 .1480003 -0.25 0.802 -.327372 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.1834953 + 2012 | -.0552139 .1476358 -0.37 0.708 -.3447296 .2343018 + 2013 | -.2217436 .1552714 -1.43 0.153 -.5262327 .0827454 + 2014 | -.2956404 .1866368 -1.58 0.113 -.6616374 .0703566 + 2015 | .02192 .17281 0.13 0.899 -.3169625 .3608026 + 2030 | .0593485 .159176 0.37 0.709 -.2527976 .3714945 + 2099 | -.0967937 .1621804 -0.60 0.551 -.4148315 .221244 + 2100 | -.1461449 .2071374 -0.71 0.481 -.5523438 .260054 + 2101 | -.2242115 .1744813 -1.29 0.199 -.5663716 .1179485 + 2102 | -.097282 .1586627 -0.61 0.540 -.4084216 .2138575 + 2103 | -.0445174 .1505163 -0.30 0.767 -.3396818 .250647 + 2104 | -.1820086 .1536286 -1.18 0.236 -.4832762 .119259 + 2105 | -.286131 .1722027 -1.66 0.097 -.6238227 .0515607 + 2199 | -.4401549 .4764845 -0.92 0.356 -1.374547 .4942371 + 9999 | .1320317 .3135818 0.42 0.674 -.4829062 .7469695 + | + house_administration | -.0545423 .0598668 -0.91 0.362 -.1719419 .0628573 + house_agriculture | -.149914 .1233795 -1.22 0.224 -.3918628 .0920347 + house_appropriations | -.3009512 .0958394 -3.14 0.002 -.4888935 -.113009 + house_armedservices | -.0705517 .0565292 -1.25 0.212 -.1814061 .0403028 + house_budget | -.0481721 .0709517 -0.68 0.497 -.1873093 .0909651 + house_dc | -.4009711 .1911099 -2.10 0.036 -.7757399 -.0262023 + house_educlabor | -.0252668 .0363623 -0.69 0.487 -.0965738 .0460403 + house_energycommerce | -.0114328 .0258015 -0.44 0.658 -.0620298 .0391642 + house_foreignaffairs | .0094663 .0500916 0.19 0.850 -.088764 .1076966 + house_governmentop | .0738134 .1480907 0.50 0.618 -.2165944 .3642211 + house_intelligence | .2344143 .1021508 2.29 0.022 .0340952 .4347333 + house_interior | .0105713 .1203025 0.09 0.930 -.2253433 .2464859 + house_judiciary | .0185544 .0265389 0.70 0.485 -.0334886 .0705975 + house_mmf | -.4465928 .1410254 -3.17 0.002 -.7231453 -.1700403 + house_pocs | -.1090245 .0586632 -1.86 0.063 -.2240638 .0060148 + house_pwt | .0984587 .0750808 1.31 0.190 -.0487757 .2456932 + house_rules | .0420932 .0491351 0.86 0.392 -.0542614 .1384479 + house_sst | -.0576121 .1278399 -0.45 0.652 -.3083078 .1930835 + house_smallbusi | -.0658325 .0518924 -1.27 0.205 -.1675942 .0359292 + house_soc | -.0537927 .1503184 -0.36 0.720 -.348569 .2409835 + house_veterans | .1004274 .0621486 1.62 0.106 -.0214467 .2223015 + house_waysandmeans | .0699526 .0261276 2.68 0.007 .0187161 .1211892 +house_naturalresources | .0998828 .0647417 1.54 0.123 -.0270764 .226842 + house_bfs | .0024052 .0388766 0.06 0.951 -.0738323 .0786426 + house_eeo | -.5950113 .3868368 -1.54 0.124 -1.353603 .1635803 + house_govreform | .0102073 .0381569 0.27 0.789 -.0646188 .0850334 + house_ir | .0271513 .0504896 0.54 0.591 -.0718595 .126162 + house_natsecur | -.3243012 .2100923 -1.54 0.123 -.7362947 .0876924 + house_oversight | -.0104677 .0419374 -0.25 0.803 -.0927074 .071772 + house_resources | .4287494 .2239373 1.91 0.056 -.0103943 .8678932 + house_science | -.017276 .0597441 -0.29 0.772 -.1344349 .0998829 + house_transp | .0287087 .0466861 0.61 0.539 -.0628433 .1202607 + house_homeland | .0981305 .0773598 1.27 0.205 -.0535729 .249834 + _cons | 1.970194 .1522136 12.94 0.000 1.671701 2.268686 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,265 1 0 1 1 + + +j = 5 k = 3 + + +rdbwselect_2014 m_betweenness_w_spons MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 5.088335 13.4177 .3792256 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(13,828 missing values generated) +(55,922 missing values generated) +(42,094 real changes made) +reg m_betweenness_w_spons sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==200 & tag_bill==1, robust cluster(group_sponsor) +(sum of wgt is 35,891.06587708) + +Linear regression Number of obs = 23,818 + F(267, 1952) = . + Prob > F = . + R-squared = 0.0489 + Root MSE = 1.0665 + + (Std. Err. adjusted for 1,953 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + m_betweenness_w_spons | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | .1115993 .0826099 1.35 0.177 -.0504135 .2736121 + | + v2 | + 102 | -.0659366 .085517 -0.77 0.441 -.2336509 .1017777 + 103 | .0239971 .1208811 0.20 0.843 -.2130726 .2610667 + 104 | .3324627 .121569 2.73 0.006 .0940439 .5708814 + 105 | .1820409 .0955044 1.91 0.057 -.0052603 .3693422 + 106 | .0585312 .0977965 0.60 0.550 -.1332653 .2503276 + 107 | .0837659 .1027643 0.82 0.415 -.1177733 .2853052 + 108 | .0632593 .0914284 0.69 0.489 -.1160483 .2425669 + 109 | .0688414 .1046899 0.66 0.511 -.1364744 .2741572 + 110 | .3139957 .184425 1.70 0.089 -.047695 .6756864 + 111 | .1878974 .1781727 1.05 0.292 -.1615313 .537326 + | + minor | + 101 | .0981781 .2620396 0.37 0.708 -.4157288 .612085 + 103 | .1924592 .2561023 0.75 0.452 -.3098037 .694722 + 104 | .2214665 .3435705 0.64 0.519 -.4523371 .8952702 + 105 | .2103148 .2251211 0.93 0.350 -.2311881 .6518178 + 107 | .3174198 .2274395 1.40 0.163 -.1286299 .7634696 + 108 | .215596 .2697475 0.80 0.424 -.3134274 .7446193 + 110 | .057146 .3672838 0.16 0.876 -.6631637 .7774557 + 200 | .2225016 .2564865 0.87 0.386 -.2805146 .7255178 + 201 | .2592992 .3294172 0.79 0.431 -.3867472 .9053457 + 202 | .2781717 .3149076 0.88 0.377 -.3394187 .8957622 + 204 | .6811935 .3270647 2.08 0.037 .0397607 1.322626 + 205 | .6739307 .3491161 1.93 0.054 -.0107488 1.35861 + 206 | -.1135605 .2561244 -0.44 0.658 -.6158665 .3887455 + 207 | .3198939 .2458527 1.30 0.193 -.1622675 .8020552 + 208 | .1505065 .2508386 0.60 0.549 -.3414332 .6424461 + 209 | .9936332 .2474442 4.02 0.000 .5083506 1.478916 + 299 | .1301608 .2437739 0.53 0.593 -.3479237 .6082453 + 300 | .2379258 .2551894 0.93 0.351 -.2625465 .7383982 + 301 | .2390183 .2512555 0.95 0.342 -.253739 .7317756 + 302 | .1857125 .2314591 0.80 0.422 -.2682205 .6396455 + 321 | .2087604 .2478261 0.84 0.400 -.2772713 .694792 + 322 | .1604139 .2348807 0.68 0.495 -.3002295 .6210572 + 323 | .1450475 .2379344 0.61 0.542 -.3215848 .6116797 + 324 | .2071675 .2431348 0.85 0.394 -.2696636 .6839986 + 325 | .1598755 .248201 0.64 0.520 -.3268913 .6466422 + 331 | -.0210748 .2356856 -0.09 0.929 -.4832967 .4411471 + 332 | .3203907 .2470506 1.30 0.195 -.1641199 .8049014 + 333 | .2521867 .2719447 0.93 0.354 -.2811457 .7855191 + 334 | .2855465 .2368003 1.21 0.228 -.1788616 .7499546 + 335 | -.3737395 .3378635 -1.11 0.269 -1.036351 .2888716 + 336 | .2641251 .26076 1.01 0.311 -.2472722 .7755223 + 341 | .2516539 .2552751 0.99 0.324 -.2489865 .7522944 + 342 | .4309507 .3351159 1.29 0.199 -.2262718 1.088173 + 343 | .653979 .3289111 1.99 0.047 .0089251 1.299033 + 344 | .079538 .2503178 0.32 0.751 -.4113803 .5704562 + 398 | .2517696 .241371 1.04 0.297 -.2216024 .7251416 + 399 | .1021978 .2586306 0.40 0.693 -.4050234 .609419 + 400 | .1758632 .2703113 0.65 0.515 -.3542659 .7059923 + 401 | .0339623 .2575957 0.13 0.895 -.4712293 .5391538 + 402 | .2379107 .2353494 1.01 0.312 -.2236518 .6994732 + 403 | .2576888 .2567612 1.00 0.316 -.245866 .7612436 + 404 | .0992421 .2544039 0.39 0.697 -.3996898 .5981739 + 405 | .2759062 .2505852 1.10 0.271 -.2155364 .7673488 + 498 | .148072 .2612915 0.57 0.571 -.3643677 .6605117 + 499 | -.0528795 .2583473 -0.20 0.838 -.559545 .453786 + 500 | .6631879 .3042735 2.18 0.029 .0664528 1.259923 + 501 | 1.002099 .6541968 1.53 0.126 -.2808989 2.285096 + 502 | .4278741 .2460788 1.74 0.082 -.0547307 .9104788 + 503 | .472516 .238877 1.98 0.048 .0040353 .9409968 + 504 | .2130653 .2428698 0.88 0.380 -.2632462 .6893767 + 505 | .2124974 .2563331 0.83 0.407 -.290218 .7152129 + 506 | .2835803 .2689479 1.05 0.292 -.243875 .8110357 + 508 | .3923772 .2587817 1.52 0.130 -.1151403 .8998948 + 529 | .1285 .3325328 0.39 0.699 -.5236566 .7806567 + 530 | .2792099 .2316788 1.21 0.228 -.175154 .7335738 + 599 | -.0520051 .2892092 -0.18 0.857 -.6191964 .5151863 + 600 | .3245941 .2484013 1.31 0.191 -.1625654 .8117537 + 601 | .6314539 .3461943 1.82 0.068 -.0474956 1.310403 + 602 | .1688227 .2399832 0.70 0.482 -.3018275 .6394729 + 603 | .1491191 .2478233 0.60 0.547 -.336907 .6351453 + 604 | .6497647 .4168015 1.56 0.119 -.1676581 1.467188 + 606 | .2208621 .2792258 0.79 0.429 -.32675 .7684743 + 607 | .3639169 .2697776 1.35 0.178 -.1651656 .8929993 + 609 | .723225 .3353746 2.16 0.031 .065495 1.380955 + 698 | .2551319 .2662619 0.96 0.338 -.2670555 .7773194 + 699 | .0883669 .2622525 0.34 0.736 -.4259575 .6026913 + 700 | .3056985 .2573387 1.19 0.235 -.1989889 .810386 + 701 | .5378992 .2740407 1.96 0.050 .000456 1.075342 + 703 | .1240877 .2412888 0.51 0.607 -.349123 .5972985 + 704 | .2307232 .2574091 0.90 0.370 -.2741023 .7355488 + 705 | .080259 .2437082 0.33 0.742 -.3976965 .5582146 + 707 | .3765979 .2989663 1.26 0.208 -.2097288 .9629245 + 708 | .291118 .3074369 0.95 0.344 -.3118211 .8940571 + 709 | .2314201 .2522538 0.92 0.359 -.2632951 .7261353 + 710 | .2216452 .244118 0.91 0.364 -.2571142 .7004046 + 711 | .2835404 .2513385 1.13 0.259 -.2093797 .7764604 + 798 | .0466183 .2485281 0.19 0.851 -.4407901 .5340268 + 799 | .4435247 .344314 1.29 0.198 -.2317371 1.118787 + 800 | .311876 .2642798 1.18 0.238 -.2064243 .8301763 + 801 | .1372993 .2520593 0.54 0.586 -.3570344 .631633 + 802 | .2388735 .249508 0.96 0.338 -.2504567 .7282037 + 803 | .2025027 .2626021 0.77 0.441 -.3125072 .7175126 + 805 | 2.101658 1.056192 1.99 0.047 .0302748 4.173042 + 806 | .7481848 .3578256 2.09 0.037 .0464245 1.449945 + 807 | .0765784 .2395244 0.32 0.749 -.3931722 .5463289 + 898 | .6478971 .3289978 1.97 0.049 .0026732 1.293121 + 899 | .0560554 .3931829 0.14 0.887 -.7150471 .8271579 + 1000 | .3693675 .2670151 1.38 0.167 -.1542971 .8930321 + 1001 | .2383875 .2513443 0.95 0.343 -.2545438 .7313189 + 1002 | .3051297 .2391088 1.28 0.202 -.1638058 .7740652 + 1003 | .1391565 .2441993 0.57 0.569 -.3397623 .6180753 + 1005 | .5063176 .2911911 1.74 0.082 -.0647606 1.077396 + 1006 | .5022235 .2463805 2.04 0.042 .019027 .9854199 + 1007 | .3345488 .261609 1.28 0.201 -.1785135 .8476112 + 1010 | 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.2730545 0.74 0.457 -.3322214 .7387967 + 1906 | -.0298455 .2789015 -0.11 0.915 -.5768216 .5171305 + 1907 | -.2022896 .364519 -0.55 0.579 -.917177 .5125977 + 1908 | .027774 .2988821 0.09 0.926 -.5583876 .6139357 + 1909 | .1458982 .2488602 0.59 0.558 -.3421615 .6339579 + 1910 | .3449315 .2925096 1.18 0.238 -.2287326 .9185955 + 1911 | .1579711 .2981862 0.53 0.596 -.4268256 .7427679 + 1912 | .1585252 .2410796 0.66 0.511 -.3142753 .6313256 + 1914 | .3416035 .2579949 1.32 0.186 -.1643709 .847578 + 1915 | 1.127091 1.051678 1.07 0.284 -.9354387 3.189621 + 1919 | .1384757 .2561927 0.54 0.589 -.3639642 .6409156 + 1920 | .4314657 .2713681 1.59 0.112 -.100736 .9636673 + 1925 | .1975378 .2409014 0.82 0.412 -.2749133 .6699889 + 1926 | .3213154 .2498181 1.29 0.199 -.1686228 .8112537 + 1927 | .3081801 .2506041 1.23 0.219 -.1832997 .7996599 + 1929 | .2962414 .2542841 1.17 0.244 -.2024554 .7949382 + 1999 | 1.791671 1.261899 1.42 0.156 -.6831394 4.266481 + 2000 | .2473919 .3936647 0.63 0.530 -.5246554 1.019439 + 2001 | .1521369 .2117068 0.72 0.472 -.2630582 .567332 + 2002 | .0734032 .2315588 0.32 0.751 -.3807253 .5275317 + 2003 | .2608927 .258082 1.01 0.312 -.2452525 .7670379 + 2004 | .3462456 .2384227 1.45 0.147 -.1213443 .8138354 + 2005 | .215909 .2812969 0.77 0.443 -.3357648 .7675829 + 2006 | .132253 .2402986 0.55 0.582 -.3390158 .6035218 + 2007 | .2891975 .2319212 1.25 0.213 -.1656418 .7440369 + 2008 | .1388573 .2307512 0.60 0.547 -.3136872 .5914019 + 2009 | .5697009 .3004617 1.90 0.058 -.0195587 1.15896 + 2011 | .2377285 .243841 0.97 0.330 -.2404876 .7159446 + 2012 | .2997817 .2543196 1.18 0.239 -.1989849 .7985483 + 2013 | .257241 .2496456 1.03 0.303 -.2323589 .7468409 + 2014 | .3514266 .2832059 1.24 0.215 -.2039912 .9068444 + 2015 | .6629982 .502814 1.32 0.187 -.3231106 1.649107 + 2030 | .2588216 .2551352 1.01 0.310 -.2415444 .7591877 + 2099 | .4110876 .3552027 1.16 0.247 -.2855289 1.107704 + 2100 | .2457179 .272775 0.90 0.368 -.289243 .7806788 + 2101 | .1466821 .2415742 0.61 0.544 -.3270884 .6204526 + 2102 | .602403 .2787921 2.16 0.031 .0556414 1.149165 + 2103 | .174126 .2415414 0.72 0.471 -.2995801 .6478321 + 2104 | .2275232 .2447798 0.93 0.353 -.252534 .7075805 + 2105 | .4613819 .3706839 1.24 0.213 -.265596 1.18836 + 2199 | .2763357 .3431851 0.81 0.421 -.396712 .9493834 + 9999 | .0802681 .2954207 0.27 0.786 -.499105 .6596412 + | + house_administration | -.0238627 .0684971 -0.35 0.728 -.1581979 .1104724 + house_agriculture | -.1142928 .0443175 -2.58 0.010 -.2012075 -.0273782 + house_appropriations | -.021361 .1851162 -0.12 0.908 -.3844072 .3416852 + house_armedservices | -.0031988 .0569913 -0.06 0.955 -.1149689 .1085714 + house_budget | .1111933 .1516622 0.73 0.464 -.1862437 .4086302 + house_dc | .3614662 .4124922 0.88 0.381 -.4475053 1.170438 + house_educlabor | -.0980726 .0547013 -1.79 0.073 -.2053517 .0092066 + house_energycommerce | .0307017 .032947 0.93 0.352 -.0339132 .0953166 + house_foreignaffairs | -.0653953 .0862966 -0.76 0.449 -.2346385 .1038479 + house_governmentop | .0431397 .0690217 0.63 0.532 -.0922244 .1785037 + house_intelligence | .1634723 .1589694 1.03 0.304 -.1482952 .4752399 + house_interior | -.0855953 .0836242 -1.02 0.306 -.2495975 .0784069 + house_judiciary | -.0061336 .0302271 -0.20 0.839 -.0654143 .0531472 + house_mmf | .1103883 .1160204 0.95 0.341 -.1171486 .3379251 + house_pocs | .0399325 .1256121 0.32 0.751 -.2064154 .2862803 + house_pwt | .0838179 .074342 1.13 0.260 -.0619802 .2296159 + house_rules | -.0991264 .070205 -1.41 0.158 -.236811 .0385582 + house_sst | .288158 .1184277 2.43 0.015 .0559 .520416 + house_smallbusi | .0416422 .1278452 0.33 0.745 -.2090853 .2923696 + house_soc | .281318 .1465557 1.92 0.055 -.0061041 .5687401 + house_veterans | -.0163013 .0597439 -0.27 0.785 -.1334699 .1008672 + house_waysandmeans | .0004997 .0292824 0.02 0.986 -.0569283 .0579277 +house_naturalresources | -.0351981 .1210786 -0.29 0.771 -.272655 .2022587 + house_bfs | .0569918 .1024818 0.56 0.578 -.1439934 .257977 + house_eeo | .0926765 .1760428 0.53 0.599 -.2525753 .4379282 + house_govreform | .137308 .056641 2.42 0.015 .0262247 .2483913 + house_ir | .0215624 .0809486 0.27 0.790 -.1371923 .1803172 + house_natsecur | -.1148448 .1015341 -1.13 0.258 -.3139714 .0842819 + house_oversight | -.3126854 .1053872 -2.97 0.003 -.5193686 -.1060022 + house_resources | .0936534 .0927208 1.01 0.313 -.0881887 .2754956 + house_science | -.2217557 .0833663 -2.66 0.008 -.385252 -.0582594 + house_transp | -.1055566 .0515243 -2.05 0.041 -.206605 -.0045082 + house_homeland | -.180752 .1089741 -1.66 0.097 -.3944698 .0329659 + _cons | 1.542797 .2438105 6.33 0.000 1.064641 2.020953 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,953 1 0 1 1 +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(62,331 observations deleted) +(16 missing values generated) +(1 real change made) +(1 real change made) +(18 missing values generated) +(0 real changes made) +(0 real changes made) +(18 missing values generated) +(0 real changes made) +(0 real changes made) +(18 missing values generated) +(0 real changes made) +(0 real changes made) +(17 missing values generated) +(1 real change made) +(0 real changes made) +(5 real changes made) +(5 real changes made) +(5 real changes made) +file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/Table6_m_betweenness_w_spons.xls saved + + +j = 1 k = 1 + + +rdbwselect_2014 var_cosp_dwnom1_spons MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11931 +----------------------+---------------------- NN matches = 3 + Number of obs | 6120 5811 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 12.8116 24.00331 .5337432 +---------------------------------------------- +reg var_cosp_dwnom1_spons sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ +> 3 occ4 borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if tag_bill==1, robust cluster(group_sponsor) + +Linear regression Number of obs = 60,452 + F(291, 4744) = . + Prob > F = . + R-squared = 0.0989 + Root MSE = 112.27 + + (Std. Err. adjusted for 4,745 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + var_cosp_dwnom1_spons | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -7.804868 2.299518 -3.39 0.001 -12.31299 -3.296745 + | + v2 | + 102 | -.5324775 2.193845 -0.24 0.808 -4.833432 3.768477 + 103 | 6.539162 3.529703 1.85 0.064 -.3806956 13.45902 + 104 | 10.58311 4.094068 2.58 0.010 2.556836 18.60938 + 105 | 19.98168 3.995541 5.00 0.000 12.14856 27.81479 + 106 | 30.88138 3.845254 8.03 0.000 23.3429 38.41986 + 107 | 38.664 4.146318 9.32 0.000 30.53529 46.79271 + 108 | 57.18808 13.32438 4.29 0.000 31.06612 83.31005 + 109 | 57.15517 12.98656 4.40 0.000 31.69549 82.61486 + 110 | 68.44315 12.93898 5.29 0.000 43.07674 93.80955 + 111 | 64.84082 12.95998 5.00 0.000 39.43324 90.2484 + | + minor | + 101 | -18.99625 20.65242 -0.92 0.358 -59.48457 21.49207 + 103 | -14.32084 25.58304 -0.56 0.576 -64.47548 35.83379 + 104 | -1.769558 18.29408 -0.10 0.923 -37.63445 34.09534 + 105 | 2.149815 15.25859 0.14 0.888 -27.7641 32.06373 + 107 | -2.206549 13.56342 -0.16 0.871 -28.79714 24.38404 + 108 | 5.726343 18.36652 0.31 0.755 -30.28055 41.73324 + 110 | -75.31781 17.13457 -4.40 0.000 -108.9095 -41.72611 + 200 | 1.812275 14.96118 0.12 0.904 -27.51859 31.14314 + 201 | -32.86024 14.81953 -2.22 0.027 -61.9134 -3.807073 + 202 | -18.38017 14.26385 -1.29 0.198 -46.34394 9.583593 + 204 | 46.05323 20.04323 2.30 0.022 6.759204 85.34725 + 205 | 32.90514 19.05573 1.73 0.084 -4.452936 70.26321 + 206 | -39.8392 14.52215 -2.74 0.006 -68.30936 -11.36905 + 207 | .6690655 14.64687 0.05 0.964 -28.04559 29.38372 + 208 | 28.54473 15.31215 1.86 0.062 -1.474197 58.56366 + 209 | -40.13056 24.22932 -1.66 0.098 -87.63127 7.370146 + 299 | 1.7053 17.82117 0.10 0.924 -33.23246 36.64306 + 300 | 26.11758 16.07869 1.62 0.104 -5.404114 57.63927 + 301 | 4.29474 13.90469 0.31 0.757 -22.96491 31.55439 + 302 | 12.37356 13.73025 0.90 0.368 -14.54411 39.29123 + 321 | 40.35259 14.93917 2.70 0.007 11.06488 69.6403 + 322 | 40.57321 14.80277 2.74 0.006 11.55291 69.5935 + 323 | 37.86814 14.718 2.57 0.010 9.014033 66.72226 + 324 | -4.271933 15.49539 -0.28 0.783 -34.6501 26.10623 + 325 | 33.37537 14.49631 2.30 0.021 4.95588 61.79487 + 331 | 42.36616 14.37855 2.95 0.003 14.17753 70.55479 + 332 | 22.10735 14.2603 1.55 0.121 -5.849458 50.06416 + 333 | 29.40716 15.31196 1.92 0.055 -.611389 59.42572 + 334 | 35.21753 14.22505 2.48 0.013 7.329822 63.10523 + 335 | -6.300991 14.39182 -0.44 0.662 -34.51564 21.91366 + 336 | 53.704 13.63906 3.94 0.000 26.96512 80.44289 + 341 | 24.1854 14.62565 1.65 0.098 -4.487673 52.85847 + 342 | 53.89657 22.20062 2.43 0.015 10.37305 97.42008 + 343 | 24.24235 16.43384 1.48 0.140 -7.975604 56.46031 + 344 | 25.13756 19.54963 1.29 0.199 -13.18878 63.46391 + 398 | 41.04817 14.0723 2.92 0.004 13.45993 68.63641 + 399 | 18.75101 18.02276 1.04 0.298 -16.58195 54.08398 + 400 | 1.823263 15.51377 0.12 0.906 -28.59093 32.23746 + 401 | 18.28048 16.11137 1.13 0.257 -13.30528 49.86624 + 402 | 20.88022 14.25927 1.46 0.143 -7.074563 48.835 + 403 | 8.526601 14.9025 0.57 0.567 -20.68922 37.74242 + 404 | 30.41859 16.99078 1.79 0.073 -2.89122 63.7284 + 405 | 46.98582 17.84053 2.63 0.008 12.0101 81.96155 + 498 | 54.29678 23.32523 2.33 0.020 8.568499 100.0251 + 499 | 29.82576 23.48649 1.27 0.204 -16.21866 75.87019 + 500 | -10.54065 17.11904 -0.62 0.538 -44.10192 23.02062 + 501 | 3.462617 14.57116 0.24 0.812 -25.10363 32.02886 + 502 | 5.504126 14.4068 0.38 0.702 -22.73989 33.74814 + 503 | .8456403 13.59655 0.06 0.950 -25.8099 27.50118 + 504 | -22.74786 14.11949 -1.61 0.107 -50.42861 4.932889 + 505 | -5.846635 14.34626 -0.41 0.684 -33.97197 22.2787 + 506 | 7.019558 15.07219 0.47 0.641 -22.52894 36.56805 + 508 | -2.797382 13.88836 -0.20 0.840 -30.02502 24.43026 + 529 | 26.97933 19.82992 1.36 0.174 -11.89651 65.85517 + 530 | -.0106894 13.86478 -0.00 0.999 -27.1921 27.17072 + 599 | 6.593701 22.61838 0.29 0.771 -37.74883 50.93623 + 600 | -1.433596 14.62706 -0.10 0.922 -30.10942 27.24223 + 601 | 28.60401 13.72036 2.08 0.037 1.705744 55.50228 + 602 | 9.655774 13.84188 0.70 0.485 -17.48074 36.79229 + 603 | 12.46914 15.06388 0.83 0.408 -17.06306 42.00133 + 604 | 64.34028 24.91535 2.58 0.010 15.49463 113.1859 + 606 | 25.6951 18.41084 1.40 0.163 -10.39869 61.78889 + 607 | 21.52618 14.21738 1.51 0.130 -6.34649 49.39885 + 609 | 39.86019 21.52213 1.85 0.064 -2.333185 82.05356 + 698 | 44.25151 45.2428 0.98 0.328 -44.44537 132.9484 + 699 | 26.9103 22.44097 1.20 0.231 -17.08441 70.90502 + 700 | 16.62421 14.90085 1.12 0.265 -12.58838 45.8368 + 701 | 11.51887 14.23784 0.81 0.419 -16.3939 39.43164 + 703 | 25.99227 14.68981 1.77 0.077 -2.806567 54.79112 + 704 | 2.730404 14.06083 0.19 0.846 -24.83534 30.29615 + 705 | 1.147916 14.30871 0.08 0.936 -26.90379 29.19962 + 707 | 26.84325 16.10507 1.67 0.096 -4.730168 58.41667 + 708 | -2.635367 15.92221 -0.17 0.869 -33.85029 28.57956 + 709 | 23.1889 14.26958 1.63 0.104 -4.7861 51.16391 + 710 | 25.10445 14.5774 1.72 0.085 -3.474014 53.68291 + 711 | 24.29413 15.48301 1.57 0.117 -6.059759 54.64803 + 798 | 10.90888 17.46943 0.62 0.532 -23.33931 45.15708 + 799 | 16.33496 19.87382 0.82 0.411 -22.62696 55.29688 + 800 | -2.580808 15.39003 -0.17 0.867 -32.75242 27.5908 + 801 | 18.56704 15.92713 1.17 0.244 -12.65753 49.79162 + 802 | 31.95124 15.68493 2.04 0.042 1.201493 62.70098 + 803 | -3.26406 14.03491 -0.23 0.816 -30.779 24.25088 + 805 | 15.27226 19.23604 0.79 0.427 -22.4393 52.98382 + 806 | 28.78014 14.93026 1.93 0.054 -.4901032 58.05038 + 807 | 20.9559 15.85467 1.32 0.186 -10.12661 52.0384 + 898 | -1.743207 19.04234 -0.09 0.927 -39.07503 35.58862 + 899 | -33.40383 21.96418 -1.52 0.128 -76.46382 9.656153 + 1000 | 31.3512 17.34837 1.81 0.071 -2.659656 65.36206 + 1001 | 28.3811 18.34765 1.55 0.122 -7.588814 64.35102 + 1002 | 23.27619 14.97329 1.55 0.120 -6.078397 52.63078 + 1003 | 28.09835 14.13158 1.99 0.047 .3938914 55.80281 + 1005 | 12.82102 14.97399 0.86 0.392 -16.53496 42.177 + 1006 | 23.68085 14.40239 1.64 0.100 -4.554527 51.91623 + 1007 | 26.3121 14.84 1.77 0.076 -2.781188 55.40539 + 1010 | -2.801178 18.57751 -0.15 0.880 -39.22172 33.61936 + 1098 | 5.095652 23.66024 0.22 0.829 -41.2894 51.4807 + 1099 | -10.17883 28.38897 -0.36 0.720 -65.83439 45.47673 + 1200 | 44.49143 27.10436 1.64 0.101 -8.645701 97.62856 + 1201 | 46.6149 19.52659 2.39 0.017 8.333714 84.89608 + 1202 | 36.79199 18.63101 1.97 0.048 .2665601 73.31743 + 1203 | 17.61552 14.98957 1.18 0.240 -11.771 47.00204 + 1204 | 32.42355 15.86686 2.04 0.041 1.317135 63.52995 + 1205 | 13.39564 17.32649 0.77 0.439 -20.57233 47.3636 + 1206 | 26.86728 17.81105 1.51 0.132 -8.050653 61.78521 + 1207 | 20.08719 15.32788 1.31 0.190 -9.962563 50.13695 + 1208 | 27.85949 14.18879 1.96 0.050 .0428725 55.6761 + 1209 | 5.91036 13.88981 0.43 0.670 -21.32012 33.14084 + 1210 | 2.39487 15.01696 0.16 0.873 -27.04535 31.83509 + 1211 | 8.474667 15.56332 0.54 0.586 -22.03667 38.986 + 1299 | 31.96385 22.79987 1.40 0.161 -12.73447 76.66217 + 1300 | 3.749622 15.10583 0.25 0.804 -25.86482 33.36406 + 1301 | 12.08646 15.20818 0.79 0.427 -17.72863 41.90155 + 1302 | -5.254039 15.97956 -0.33 0.742 -36.5814 26.07332 + 1303 | 1.757468 13.82921 0.13 0.899 -25.35419 28.86913 + 1304 | 27.42624 14.8485 1.85 0.065 -1.683711 56.53619 + 1305 | 15.90388 15.45407 1.03 0.303 -14.39328 46.20104 + 1399 | 23.59382 41.27898 0.57 0.568 -57.33213 104.5198 + 1400 | 16.33997 15.37723 1.06 0.288 -13.80654 46.48649 + 1401 | 24.70161 16.00598 1.54 0.123 -6.677535 56.08075 + 1403 | 11.60622 14.87339 0.78 0.435 -17.55253 40.76498 + 1404 | 5.339207 19.50347 0.27 0.784 -32.89665 43.57506 + 1405 | 30.7751 17.55659 1.75 0.080 -3.643954 65.19416 + 1406 | 3.007078 14.30489 0.21 0.834 -25.03715 31.0513 + 1407 | 56.33645 19.7172 2.86 0.004 17.68158 94.99131 + 1408 | 17.51944 17.10671 1.02 0.306 -16.01766 51.05654 + 1409 | 33.76277 18.4021 1.83 0.067 -2.313892 69.83944 + 1410 | 30.56356 17.54601 1.74 0.082 -3.834762 64.96189 + 1499 | 4.934262 21.41938 0.23 0.818 -37.05766 46.92619 + 1500 | 10.65975 16.50699 0.65 0.518 -21.70162 43.02112 + 1501 | 24.78647 14.32987 1.73 0.084 -3.306721 52.87966 + 1502 | 17.62548 14.52725 1.21 0.225 -10.85468 46.10564 + 1504 | 10.23052 14.42361 0.71 0.478 -18.04645 38.50748 + 1505 | 48.01953 16.88587 2.84 0.004 14.91538 81.12368 + 1507 | 28.29594 21.3058 1.33 0.184 -13.47331 70.06519 + 1520 | 22.22985 17.20224 1.29 0.196 -11.49453 55.95422 + 1521 | 14.75502 14.37589 1.03 0.305 -13.42841 42.93844 + 1522 | 112.8577 18.1386 6.22 0.000 77.29762 148.4178 + 1523 | 16.23622 14.48745 1.12 0.262 -12.16592 44.63835 + 1524 | 40.1782 22.42668 1.79 0.073 -3.78851 84.14491 + 1525 | 7.60127 14.34298 0.53 0.596 -20.51763 35.72017 + 1526 | 54.32517 17.58997 3.09 0.002 19.84066 88.80967 + 1599 | 38.74099 16.63194 2.33 0.020 6.134663 71.34732 + 1600 | 39.78232 17.99704 2.21 0.027 4.499763 75.06487 + 1602 | 14.4277 18.5127 0.78 0.436 -21.86578 50.72119 + 1603 | -9.599083 18.23882 -0.53 0.599 -45.35563 26.15746 + 1604 | 20.3777 19.21264 1.06 0.289 -17.28799 58.04338 + 1605 | 11.15959 16.5873 0.67 0.501 -21.35922 43.6784 + 1606 | 27.09272 19.8127 1.37 0.172 -11.74936 65.9348 + 1608 | 33.57181 14.31224 2.35 0.019 5.513191 61.63044 + 1609 | 34.02923 14.39685 2.36 0.018 5.804725 62.25374 + 1610 | 23.7437 16.83194 1.41 0.158 -9.254709 56.7421 + 1611 | 15.38941 16.80447 0.92 0.360 -17.55515 48.33397 + 1612 | 27.66309 16.01439 1.73 0.084 -3.732537 59.05872 + 1614 | 8.199919 18.84991 0.44 0.664 -28.75464 45.15448 + 1615 | 16.22158 16.13218 1.01 0.315 -15.40497 47.84813 + 1616 | 20.8317 15.45041 1.35 0.178 -9.458268 51.12166 + 1617 | 1.079242 17.85143 0.06 0.952 -33.91784 36.07632 + 1619 | -20.22765 15.53089 -1.30 0.193 -50.67539 10.2201 + 1620 | 42.1289 24.9359 1.69 0.091 -6.757039 91.01484 + 1698 | 24.25543 19.48818 1.24 0.213 -13.95045 62.46131 + 1699 | 32.74328 15.06651 2.17 0.030 3.205928 62.28063 + 1700 | 48.23171 26.00265 1.85 0.064 -2.745544 99.20897 + 1701 | 59.90587 24.02869 2.49 0.013 12.79849 107.0132 + 1704 | 90.13356 25.51904 3.53 0.000 40.1044 140.1627 + 1705 | 58.45538 39.42602 1.48 0.138 -18.83792 135.7487 + 1706 | 42.53069 15.22642 2.79 0.005 12.67984 72.38154 + 1707 | 37.99217 15.21457 2.50 0.013 8.164554 67.81979 + 1708 | 38.11712 17.43828 2.19 0.029 3.929989 72.30424 + 1709 | 68.98 16.19864 4.26 0.000 37.22316 100.7368 + 1798 | 33.72058 17.33484 1.95 0.052 -.2637463 67.70491 + 1799 | 37.39376 37.22936 1.00 0.315 -35.59307 110.3806 + 1800 | 9.901545 16.4756 0.60 0.548 -22.39828 42.20137 + 1802 | 41.70368 16.5306 2.52 0.012 9.296039 74.11133 + 1803 | 20.9984 15.39046 1.36 0.173 -9.174045 51.17085 + 1804 | 64.79768 25.26764 2.56 0.010 15.26138 114.334 + 1806 | 17.34019 16.76289 1.03 0.301 -15.52285 50.20322 + 1807 | -53.08361 13.52156 -3.93 0.000 -79.59215 -26.57508 + 1808 | 56.18524 36.28019 1.55 0.122 -14.94078 127.3113 + 1899 | 45.02012 52.15594 0.86 0.388 -57.22972 147.27 + 1900 | 39.14166 21.48532 1.82 0.069 -2.979542 81.26286 + 1901 | 20.05326 14.93898 1.34 0.180 -9.234063 49.34059 + 1902 | 47.27597 17.15777 2.76 0.006 13.63877 80.91317 + 1905 | 27.37828 17.77073 1.54 0.123 -7.460606 62.21716 + 1906 | 31.19608 17.21821 1.81 0.070 -2.559608 64.95177 + 1907 | 54.14017 20.30385 2.67 0.008 14.33519 93.94514 + 1908 | 43.42895 20.40372 2.13 0.033 3.428187 83.42972 + 1909 | 31.66506 18.94034 1.67 0.095 -5.466788 68.79691 + 1910 | -.7930203 19.64711 -0.04 0.968 -39.31047 37.72443 + 1911 | 38.74261 25.51053 1.52 0.129 -11.26988 88.75509 + 1912 | -32.08781 21.00188 -1.53 0.127 -73.26124 9.085613 + 1914 | 14.53114 16.68784 0.87 0.384 -18.18478 47.24705 + 1915 | 62.34206 26.23425 2.38 0.018 10.91075 113.7734 + 1919 | 95.71361 33.42884 2.86 0.004 30.17757 161.2496 + 1920 | 36.85634 16.71267 2.21 0.027 4.091753 69.62094 + 1925 | 24.00146 15.87247 1.51 0.131 -7.115947 55.11887 + 1926 | -13.32572 16.97685 -0.78 0.433 -46.60822 19.95679 + 1927 | 9.808368 17.33794 0.57 0.572 -24.18203 43.79877 + 1929 | 20.25958 16.87252 1.20 0.230 -12.8184 53.33756 + 1999 | 36.96592 57.54711 0.64 0.521 -75.85312 149.785 + 2000 | 9.70252 15.26704 0.64 0.525 -20.22796 39.633 + 2001 | 2.933775 14.97444 0.20 0.845 -26.42309 32.29064 + 2002 | -1.134779 14.39622 -0.08 0.937 -29.35805 27.08849 + 2003 | 20.77436 15.30969 1.36 0.175 -9.239741 50.78846 + 2004 | 27.93036 13.87087 2.01 0.044 .7370185 55.1237 + 2005 | 65.04658 34.3968 1.89 0.059 -2.387112 132.4803 + 2006 | 88.4715 14.77977 5.99 0.000 59.49629 117.4467 + 2007 | 6.238286 17.36413 0.36 0.719 -27.80346 40.28003 + 2008 | 70.02705 13.87915 5.05 0.000 42.81746 97.23663 + 2009 | 2.330687 18.32585 0.13 0.899 -33.59649 38.25786 + 2010 | -64.48151 14.27739 -4.52 0.000 -92.47183 -36.49119 + 2011 | 6.244997 14.33483 0.44 0.663 -21.85793 34.34793 + 2012 | -13.20949 13.84614 -0.95 0.340 -40.35435 13.93537 + 2013 | .1471165 19.31231 0.01 0.994 -37.71398 38.00822 + 2014 | 43.94212 18.55909 2.37 0.018 7.55768 80.32655 + 2015 | 36.54919 24.41398 1.50 0.134 -11.31355 84.41193 + 2030 | 16.91765 19.84986 0.85 0.394 -21.99729 55.83258 + 2099 | 21.41853 17.39188 1.23 0.218 -12.67763 55.51469 + 2100 | -12.65585 15.86689 -0.80 0.425 -43.76232 18.45062 + 2101 | 32.30246 13.92311 2.32 0.020 5.006706 59.59821 + 2102 | 30.17218 14.70297 2.05 0.040 1.347536 58.99681 + 2103 | 14.93695 14.02444 1.07 0.287 -12.55747 42.43136 + 2104 | 11.15529 14.15162 0.79 0.431 -16.58845 38.89903 + 2105 | 57.18232 23.80063 2.40 0.016 10.52204 103.8426 + 2199 | 19.46645 46.31256 0.42 0.674 -71.32767 110.2606 + 9999 | -9.512478 17.14284 -0.55 0.579 -43.12041 24.09545 + | + house_administration | -5.443445 4.032922 -1.35 0.177 -13.34984 2.462955 + house_agriculture | .2821991 2.883044 0.10 0.922 -5.369906 5.934304 + house_appropriations | -58.61355 7.155832 -8.19 0.000 -72.6423 -44.58479 + house_armedservices | -6.32332 3.047279 -2.08 0.038 -12.2974 -.3492396 + house_budget | -13.17817 5.531458 -2.38 0.017 -24.0224 -2.333948 + house_dc | 2.563456 17.19677 0.15 0.882 -31.1502 36.27711 + house_educlabor | -18.70024 2.047505 -9.13 0.000 -22.7143 -14.68618 + house_energycommerce | -3.195086 1.894792 -1.69 0.092 -6.909759 .519586 + house_foreignaffairs | 7.78284 4.33506 1.80 0.073 -.7158902 16.28157 + house_governmentop | .0979365 4.091371 0.02 0.981 -7.92305 8.118923 + house_intelligence | -20.23644 10.27796 -1.97 0.049 -40.38601 -.0868644 + house_interior | -6.911008 3.752847 -1.84 0.066 -14.26833 .4463145 + house_judiciary | 4.896362 2.697952 1.81 0.070 -.3928754 10.1856 + house_mmf | 4.009935 4.340484 0.92 0.356 -4.499428 12.5193 + house_pocs | -3.07811 3.572396 -0.86 0.389 -10.08166 3.925444 + house_pwt | -5.611864 3.30628 -1.70 0.090 -12.09371 .8699793 + house_rules | -15.76818 3.858299 -4.09 0.000 -23.33224 -8.204121 + house_sst | 6.371722 6.385224 1.00 0.318 -6.146281 18.88973 + house_smallbusi | -1.489225 9.203168 -0.16 0.871 -19.53171 16.55325 + house_soc | 21.32028 31.00594 0.69 0.492 -39.46576 82.10632 + house_veterans | 4.968187 3.675302 1.35 0.177 -2.237111 12.17349 + house_waysandmeans | 2.403109 1.655144 1.45 0.147 -.8417416 5.647961 +house_naturalresources | -18.42249 4.26867 -4.32 0.000 -26.79106 -10.05391 + house_bfs | -7.1671 2.654164 -2.70 0.007 -12.37049 -1.963707 + house_eeo | -21.96396 4.50362 -4.88 0.000 -30.79314 -13.13477 + house_govreform | 5.120972 2.843488 1.80 0.072 -.4535843 10.69553 + house_ir | 12.43795 4.537711 2.74 0.006 3.54193 21.33397 + house_natsecur | 7.166914 6.447872 1.11 0.266 -5.473908 19.80774 + house_oversight | .7023893 4.451321 0.16 0.875 -8.024266 9.429045 + house_resources | -11.45681 3.532951 -3.24 0.001 -18.38304 -4.530591 + house_science | 1.06815 5.80234 0.18 0.854 -10.30713 12.44343 + house_transp | .5012553 3.556676 0.14 0.888 -6.471481 7.473992 + house_homeland | -2.111916 6.622124 -0.32 0.750 -15.09435 10.87052 + sponsor_democrat | -23.60497 1.653437 -14.28 0.000 -26.84648 -20.36347 + sponsor_rookie | -9.582881 2.34883 -4.08 0.000 -14.18768 -4.978084 + sponsor_tenure_run | .4306485 .3298199 1.31 0.192 -.2159516 1.077249 + sponsor_age | -.0089059 .0913606 -0.10 0.922 -.1880151 .1702032 + leader | 4.056214 3.006996 1.35 0.177 -1.838893 9.951322 + ivycoll | -.110966 2.412784 -0.05 0.963 -4.841143 4.619211 + black | -8.117343 4.784981 -1.70 0.090 -17.49813 1.263442 + occ0 | 13.1061 2.411201 5.44 0.000 8.379023 17.83317 + occ1 | 11.52832 2.883697 4.00 0.000 5.874939 17.18171 + occ2 | 12.77426 2.244545 5.69 0.000 8.373906 17.17461 + occ3 | 4.586896 2.967867 1.55 0.122 -1.231501 10.40529 + occ4 | 7.610155 2.450236 3.11 0.002 2.806556 12.41375 + borninstate | -.6204421 1.839543 -0.34 0.736 -4.226801 2.985917 + tot_bills | -.1764253 .0741001 -2.38 0.017 -.3216958 -.0311547 + NE | -9.410831 2.276478 -4.13 0.000 -13.87379 -4.947877 + MW | 4.707982 2.379768 1.98 0.048 .0425312 9.373432 + WE | 4.192598 2.319722 1.81 0.071 -.3551328 8.740329 + pct_black | -2.986408 10.06462 -0.30 0.767 -22.71774 16.74492 + pct_urban | 2.695533 5.455209 0.49 0.621 -7.999209 13.39027 + pct_for_born | -21.3575 12.13831 -1.76 0.079 -45.15422 2.439221 + pct_age_over65 | 77.21493 20.77678 3.72 0.000 36.4828 117.9471 + lninc | 4.121778 4.253732 0.97 0.333 -4.217511 12.46107 + lnpden | .7607495 .8193304 0.93 0.353 -.8455184 2.367017 + _cons | -8.367249 44.12589 -0.19 0.850 -94.87448 78.13998 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,731 1 0 1 1 + + +j = 1 k = 2 + + +rdbwselect_2014 var_cosp_dwnom1_spons MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6150 +----------------------+---------------------- NN matches = 3 + Number of obs | 2174 3976 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 23.19646 41.38236 .5605399 +---------------------------------------------- +reg var_cosp_dwnom1_spons sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ +> 3 occ4 borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if sponsor_party==100 & tag_bill==1, robust cluster(group_sponso +> r) +note: sponsor_democrat omitted because of collinearity + +Linear regression Number of obs = 32,724 + F(290, 2490) = . + Prob > F = . + R-squared = 0.0993 + Root MSE = 104.81 + + (Std. Err. adjusted for 2,491 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + var_cosp_dwnom1_spons | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -9.201039 2.627151 -3.50 0.000 -14.35267 -4.049413 + | + v2 | + 102 | -1.540756 2.243992 -0.69 0.492 -5.941038 2.859526 + 103 | 12.65195 4.414455 2.87 0.004 3.995567 21.30833 + 104 | 1.445708 4.987965 0.29 0.772 -8.335279 11.22669 + 105 | 12.18923 4.90857 2.48 0.013 2.563928 21.81453 + 106 | 19.31428 4.695067 4.11 0.000 10.10764 28.52092 + 107 | 22.83441 5.222518 4.37 0.000 12.59348 33.07533 + 108 | -2.536052 14.90282 -0.17 0.865 -31.75924 26.68714 + 109 | -1.181326 14.67359 -0.08 0.936 -29.95503 27.59238 + 110 | 45.31967 14.82793 3.06 0.002 16.24333 74.39602 + 111 | 36.99234 14.81173 2.50 0.013 7.947776 66.03691 + | + minor | + 101 | -29.51914 25.355 -1.16 0.244 -79.2382 20.19992 + 103 | -34.85905 24.07881 -1.45 0.148 -82.07561 12.3575 + 104 | -20.88288 22.11437 -0.94 0.345 -64.24734 22.48157 + 105 | -24.09718 18.02699 -1.34 0.181 -59.4466 11.25225 + 107 | -5.324677 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24.61316 25.74335 0.96 0.339 -25.86742 75.09373 + 1701 | 50.45288 26.7084 1.89 0.059 -1.920072 102.8258 + 1704 | 117.7026 61.87452 1.90 0.057 -3.628227 239.0334 + 1705 | 66.97743 59.9109 1.12 0.264 -50.50288 184.4577 + 1706 | 18.10023 19.67944 0.92 0.358 -20.48953 56.68999 + 1707 | 16.07308 19.29981 0.83 0.405 -21.77225 53.9184 + 1708 | 23.99746 22.68101 1.06 0.290 -20.47812 68.47303 + 1709 | 43.30083 22.64642 1.91 0.056 -1.106917 87.70858 + 1798 | -.6570111 21.90729 -0.03 0.976 -43.6154 42.30137 + 1799 | 42.94787 54.42479 0.79 0.430 -63.77463 149.6704 + 1800 | -10.95941 21.00913 -0.52 0.602 -52.15658 30.23776 + 1802 | -1.760051 20.33965 -0.09 0.931 -41.64442 38.12432 + 1803 | 11.63776 20.24153 0.57 0.565 -28.0542 51.32972 + 1804 | 22.43321 30.64597 0.73 0.464 -37.661 82.52742 + 1806 | 11.11858 21.79872 0.51 0.610 -31.6269 53.86407 + 1807 | -51.56539 18.04951 -2.86 0.004 -86.95898 -16.17179 + 1808 | 67.83975 40.48379 1.68 0.094 -11.54561 147.2251 + 1899 | 52.47422 69.76465 0.75 0.452 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2.17 0.030 5.520896 109.6571 + 2015 | 8.143896 31.32129 0.26 0.795 -53.27457 69.56236 + 2030 | 19.0589 29.29946 0.65 0.515 -38.39491 76.51272 + 2099 | 14.21239 22.341 0.64 0.525 -29.59647 58.02125 + 2100 | -13.92355 20.91853 -0.67 0.506 -54.94306 27.09595 + 2101 | .5506272 18.18369 0.03 0.976 -35.10608 36.20734 + 2102 | 7.291703 18.7339 0.39 0.697 -29.44393 44.02734 + 2103 | 10.66368 18.3735 0.58 0.562 -25.36523 46.69259 + 2104 | -11.60642 18.69954 -0.62 0.535 -48.27467 25.06184 + 2105 | 23.13733 44.06916 0.53 0.600 -63.27863 109.5533 + 2199 | 42.07426 86.71496 0.49 0.628 -127.9666 212.1151 + 9999 | -18.01299 24.66764 -0.73 0.465 -66.38418 30.3582 + | + house_administration | 6.497816 5.560935 1.17 0.243 -4.406717 17.40235 + house_agriculture | -.7816113 3.498657 -0.22 0.823 -7.642189 6.078966 + house_appropriations | -56.26319 5.626632 -10.00 0.000 -67.29655 -45.22983 + house_armedservices | -13.21825 3.721495 -3.55 0.000 -20.51579 -5.920709 + house_budget | -20.81161 7.710757 -2.70 0.007 -35.93176 -5.691454 + house_dc | -9.152086 20.63087 -0.44 0.657 -49.60751 31.30334 + house_educlabor | -19.94623 2.334708 -8.54 0.000 -24.5244 -15.36806 + house_energycommerce | -7.227469 2.28324 -3.17 0.002 -11.70471 -2.750226 + house_foreignaffairs | .5361638 5.019288 0.11 0.915 -9.306244 10.37857 + house_governmentop | 1.02587 5.193528 0.20 0.843 -9.158207 11.20995 + house_intelligence | -7.219282 10.82582 -0.67 0.505 -28.44781 14.00925 + house_interior | -15.32861 4.224396 -3.63 0.000 -23.6123 -7.044918 + house_judiciary | 9.893838 3.247355 3.05 0.002 3.526045 16.26163 + house_mmf | 7.969106 4.653127 1.71 0.087 -1.155291 17.0935 + house_pocs | -4.550899 4.691872 -0.97 0.332 -13.75127 4.649472 + house_pwt | -4.167043 4.074026 -1.02 0.306 -12.15587 3.821783 + house_rules | -7.179417 5.310228 -1.35 0.176 -17.59233 3.2335 + house_sst | 12.49677 7.364324 1.70 0.090 -1.94406 26.9376 + house_smallbusi | -21.19796 8.523063 -2.49 0.013 -37.91098 -4.484936 + house_soc | 21.97556 42.96783 0.51 0.609 -62.2808 106.2319 + house_veterans | -3.456945 4.057115 -0.85 0.394 -11.41261 4.498722 + house_waysandmeans | 3.539359 2.057083 1.72 0.085 -.4944105 7.573128 +house_naturalresources | -27.47948 5.084878 -5.40 0.000 -37.4505 -17.50845 + house_bfs | -11.16386 3.096918 -3.60 0.000 -17.23666 -5.091065 + house_eeo | -17.4228 5.043978 -3.45 0.001 -27.31362 -7.531977 + house_govreform | 13.1627 3.465326 3.80 0.000 6.367482 19.95792 + house_ir | 8.540011 5.537508 1.54 0.123 -2.318584 19.39861 + house_natsecur | 11.63816 7.227112 1.61 0.107 -2.533604 25.80993 + house_oversight | -5.261371 6.420119 -0.82 0.413 -17.85069 7.327951 + house_resources | 10.24991 4.812012 2.13 0.033 .8139559 19.68587 + house_science | -7.444942 5.951626 -1.25 0.211 -19.11559 4.225703 + house_transp | -8.187479 3.79579 -2.16 0.031 -15.63071 -.7442496 + house_homeland | -3.175963 9.012176 -0.35 0.725 -20.84809 14.49617 + sponsor_democrat | 0 (omitted) + sponsor_rookie | -15.84956 3.052945 -5.19 0.000 -21.83613 -9.86299 + sponsor_tenure_run | .2026897 .3775068 0.54 0.591 -.5375698 .9429493 + sponsor_age | -.1084432 .1092258 -0.99 0.321 -.3226259 .1057395 + leader | 3.510992 3.229329 1.09 0.277 -2.821454 9.843439 + ivycoll | 1.055191 2.946395 0.36 0.720 -4.722445 6.832828 + black | -15.55932 5.215592 -2.98 0.003 -25.78666 -5.331971 + occ0 | 7.268641 2.961751 2.45 0.014 1.460893 13.07639 + occ1 | 17.12106 3.450169 4.96 0.000 10.35557 23.88656 + occ2 | 8.716514 2.63345 3.31 0.001 3.552537 13.88049 + occ3 | 9.098823 3.701614 2.46 0.014 1.840264 16.35738 + occ4 | 1.855628 3.357874 0.55 0.581 -4.728885 8.44014 + borninstate | 1.847056 1.913504 0.97 0.335 -1.905167 5.59928 + tot_bills | -.4166278 .055832 -7.46 0.000 -.5261097 -.3071458 + NE | -5.772632 2.983606 -1.93 0.053 -11.62324 .0779711 + MW | 7.985444 3.049034 2.62 0.009 2.006541 13.96435 + WE | 8.916656 3.031546 2.94 0.003 2.972045 14.86127 + pct_black | 22.22397 11.67674 1.90 0.057 -.6731428 45.12109 + pct_urban | 5.80562 6.528863 0.89 0.374 -6.99694 18.60818 + pct_for_born | 12.51822 13.40685 0.93 0.351 -13.7715 38.80794 + pct_age_over65 | 88.71503 28.08695 3.16 0.002 33.63884 143.7912 + lninc | -3.740982 5.066038 -0.74 0.460 -13.67506 6.1931 + lnpden | -1.450078 .9530601 -1.52 0.128 -3.31895 .4187934 + _cons | 88.31483 52.4823 1.68 0.093 -14.59862 191.2283 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,486 1 0 1 1 + + +j = 1 k = 3 + + +rdbwselect_2014 var_cosp_dwnom1_spons MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5781 +----------------------+---------------------- NN matches = 3 + Number of obs | 3946 1835 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 15.59014 26.3136 .5924746 +---------------------------------------------- +reg var_cosp_dwnom1_spons sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ +> 3 occ4 borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if sponsor_party==200 & tag_bill==1, robust cluster(group_sponso +> r) +note: sponsor_democrat omitted because of collinearity + +Linear regression Number of obs = 27,577 + F(289, 2243) = . + Prob > F = . + R-squared = 0.1360 + Root MSE = 117.45 + + (Std. Err. adjusted for 2,244 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + var_cosp_dwnom1_spons | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 2.066734 3.654962 0.57 0.572 -5.100727 9.234195 + | + v2 | + 102 | 1.88724 3.904638 0.48 0.629 -5.769841 9.544321 + 103 | 2.31513 5.823356 0.40 0.691 -9.1046 13.73486 + 104 | 23.43065 6.513826 3.60 0.000 10.6569 36.20441 + 105 | 33.02159 6.10532 5.41 0.000 21.04892 44.99425 + 106 | 45.11634 5.896564 7.65 0.000 33.55304 56.67963 + 107 | 58.15747 6.029989 9.64 0.000 46.33252 69.98241 + 108 | 127.7727 19.78053 6.46 0.000 88.98269 166.5628 + 109 | 123.9768 19.11685 6.49 0.000 86.48819 161.4653 + 110 | 96.48833 18.70684 5.16 0.000 59.80379 133.1729 + 111 | 97.33563 18.95142 5.14 0.000 60.17148 134.4998 + | + minor | + 101 | -2.358154 30.62211 -0.08 0.939 -62.40879 57.69248 + 103 | 17.49679 49.46407 0.35 0.724 -79.50335 114.4969 + 104 | 11.40862 26.79227 0.43 0.670 -41.13161 63.94886 + 105 | 23.79664 21.21817 1.12 0.262 -17.81266 65.40595 + 107 | 5.821905 19.59863 0.30 0.766 -32.61145 44.25526 + 108 | 30.69042 34.67181 0.89 0.376 -37.30178 98.68261 + 110 | -56.42285 26.43291 -2.13 0.033 -108.2584 -4.587329 + 200 | 23.59612 23.78886 0.99 0.321 -23.05436 70.24659 + 201 | -4.875048 50.39047 -0.10 0.923 -103.6919 93.94178 + 202 | 3.965669 23.90926 0.17 0.868 -42.92092 50.85226 + 204 | 73.05547 29.16844 2.50 0.012 15.85552 130.2554 + 205 | 54.93964 29.13325 1.89 0.059 -2.191313 112.0706 + 206 | -4.62551 20.94147 -0.22 0.825 -45.6922 36.44119 + 207 | 8.924009 20.87563 0.43 0.669 -32.01356 49.86158 + 208 | 40.28343 22.21179 1.81 0.070 -3.274386 83.84125 + 209 | -75.64618 20.25376 -3.73 0.000 -115.3643 -35.92811 + 299 | 15.26888 21.61524 0.71 0.480 -27.11908 57.65683 + 300 | 61.37966 25.17774 2.44 0.015 12.00556 110.7538 + 301 | 22.43374 20.56479 1.09 0.275 -17.89427 62.76175 + 302 | 29.09677 20.06512 1.45 0.147 -10.25139 68.44492 + 321 | 84.39985 23.04848 3.66 0.000 39.20126 129.5984 + 322 | 78.81644 21.23711 3.71 0.000 37.17 120.4629 + 323 | 52.64527 21.65102 2.43 0.015 10.18715 95.1034 + 324 | 9.915405 22.33675 0.44 0.657 -33.88747 53.71828 + 325 | 63.50028 20.78308 3.06 0.002 22.7442 104.2564 + 331 | 85.29886 22.47538 3.80 0.000 41.22415 129.3736 + 332 | 45.57386 21.39984 2.13 0.033 3.608296 87.53943 + 333 | 76.62654 25.65557 2.99 0.003 26.31539 126.9377 + 334 | 59.99222 20.39615 2.94 0.003 19.99491 99.98953 + 335 | 24.29106 21.52266 1.13 0.259 -17.91535 66.49747 + 336 | 81.96064 19.38536 4.23 0.000 43.94551 119.9758 + 341 | 51.70738 24.09394 2.15 0.032 4.458635 98.95613 + 342 | 85.41233 27.92123 3.06 0.002 30.65819 140.1665 + 343 | 37.47721 25.14928 1.49 0.136 -11.84108 86.7955 + 344 | 59.33878 23.76092 2.50 0.013 12.7431 105.9345 + 398 | 56.61983 20.5421 2.76 0.006 16.33631 96.90335 + 399 | 47.835 28.14014 1.70 0.089 -7.348432 103.0184 + 400 | 25.01702 23.40914 1.07 0.285 -20.88883 70.92287 + 401 | 41.69668 22.99275 1.81 0.070 -3.392621 86.78598 + 402 | 41.7364 21.06111 1.98 0.048 .4350944 83.03771 + 403 | 48.59705 24.25938 2.00 0.045 1.023878 96.17023 + 404 | 51.57268 24.19244 2.13 0.033 4.130777 99.01459 + 405 | 59.38368 24.77508 2.40 0.017 10.79919 107.9682 + 498 | 77.77315 34.86794 2.23 0.026 9.396351 146.1499 + 499 | 35.35545 29.56997 1.20 0.232 -22.63191 93.34282 + 500 | 8.746448 25.16916 0.35 0.728 -40.61083 58.10373 + 501 | 15.46565 22.16137 0.70 0.485 -27.99329 58.92459 + 502 | 19.86898 21.45637 0.93 0.355 -22.20745 61.9454 + 503 | 21.70768 19.89267 1.09 0.275 -17.30229 60.71766 + 504 | -25.08289 20.53646 -1.22 0.222 -65.35535 15.18956 + 505 | 12.60479 21.4847 0.59 0.557 -29.52718 54.73676 + 506 | 38.0931 24.21134 1.57 0.116 -9.385873 85.57208 + 508 | 20.43665 21.25079 0.96 0.336 -21.23662 62.10992 + 529 | 33.62849 25.95435 1.30 0.195 -17.26856 84.52554 + 530 | 16.05629 19.99671 0.80 0.422 -23.1577 55.27027 + 599 | 24.39099 37.69041 0.65 0.518 -49.52075 98.30272 + 600 | 6.468309 21.76842 0.30 0.766 -36.22004 49.15665 + 601 | 60.2132 20.42916 2.95 0.003 20.15116 100.2752 + 602 | 38.83213 21.05969 1.84 0.065 -2.466387 80.13065 + 603 | 51.52251 26.79725 1.92 0.055 -1.027502 104.0725 + 604 | 88.1799 35.16262 2.51 0.012 19.22521 157.1346 + 606 | 44.75532 30.01147 1.49 0.136 -14.09783 103.6085 + 607 | 65.26591 21.98583 2.97 0.003 22.1512 108.3806 + 609 | 74.03404 34.60029 2.14 0.032 6.182106 141.886 + 698 | -18.70016 33.23392 -0.56 0.574 -83.87262 46.4723 + 699 | 2.125792 24.14803 0.09 0.930 -45.22902 49.48061 + 700 | 38.82785 22.20641 1.75 0.081 -4.719425 82.37512 + 701 | 32.46738 21.00785 1.55 0.122 -8.729481 73.66424 + 703 | 61.64867 22.84743 2.70 0.007 16.84434 106.453 + 704 | 19.23628 20.82641 0.92 0.356 -21.60477 60.07734 + 705 | 7.314871 20.40038 0.36 0.720 -32.69073 47.32047 + 707 | 104.4748 41.24694 2.53 0.011 23.58864 185.361 + 708 | 52.56873 42.20958 1.25 0.213 -30.20518 135.3426 + 709 | 27.97241 20.76635 1.35 0.178 -12.75086 68.69567 + 710 | 49.89489 21.92953 2.28 0.023 6.890605 92.89919 + 711 | 51.61867 22.6307 2.28 0.023 7.239375 95.99797 + 798 | 42.25368 30.00587 1.41 0.159 -16.5885 101.0959 + 799 | 34.18586 27.15091 1.26 0.208 -19.05768 87.42941 + 800 | 15.07935 22.92509 0.66 0.511 -29.87727 60.03596 + 801 | 37.32375 24.78038 1.51 0.132 -11.27113 85.91863 + 802 | 49.97617 23.59616 2.12 0.034 3.70358 96.24877 + 803 | 10.92306 20.00508 0.55 0.585 -28.30734 50.15346 + 805 | 23.24266 31.5156 0.74 0.461 -38.56014 85.04546 + 806 | 40.01906 22.47195 1.78 0.075 -4.048939 84.08706 + 807 | 36.27706 23.11612 1.57 0.117 -9.054161 81.60828 + 898 | -7.75493 29.53638 -0.26 0.793 -65.67642 50.16656 + 899 | -4.967263 41.51087 -0.12 0.905 -86.37101 76.43648 + 1000 | 42.26869 24.65729 1.71 0.087 -6.084814 90.62219 + 1001 | 77.94888 25.04876 3.11 0.002 28.8277 127.0701 + 1002 | 47.91435 21.43298 2.24 0.025 5.883809 89.9449 + 1003 | 42.28083 20.49266 2.06 0.039 2.094257 82.4674 + 1005 | 34.1618 21.74024 1.57 0.116 -8.471296 76.79489 + 1006 | 49.96371 20.52107 2.43 0.015 9.721446 90.20598 + 1007 | 42.6085 21.85757 1.95 0.051 -.2546766 85.47168 + 1010 | 31.10914 29.37176 1.06 0.290 -26.48954 88.70782 + 1098 | 41.78351 46.38206 0.90 0.368 -49.17274 132.7398 + 1099 | -22.27664 34.81144 -0.64 0.522 -90.54265 45.98937 + 1200 | 97.69085 48.595 2.01 0.045 2.394977 192.9867 + 1201 | 100.2186 32.04952 3.13 0.002 37.36875 163.0684 + 1202 | 38.89007 25.4605 1.53 0.127 -11.03854 88.81868 + 1203 | 13.8454 21.00078 0.66 0.510 -27.33759 55.02839 + 1204 | 43.03394 22.56439 1.91 0.057 -1.215327 87.2832 + 1205 | 48.52653 26.40671 1.84 0.066 -3.25762 100.3107 + 1206 | 83.34398 30.73775 2.71 0.007 23.06658 143.6214 + 1207 | 29.78189 21.89885 1.36 0.174 -13.16224 72.72602 + 1208 | 61.30192 20.53617 2.99 0.003 21.03005 101.5738 + 1209 | 55.27074 20.40217 2.71 0.007 15.26164 95.27984 + 1210 | 29.27923 22.00529 1.33 0.183 -13.87362 72.43208 + 1211 | 41.52026 23.92284 1.74 0.083 -5.392963 88.43349 + 1299 | 78.68634 40.35289 1.95 0.051 -.44657 157.8192 + 1300 | 8.311418 22.74043 0.37 0.715 -36.28307 52.9059 + 1301 | 78.37439 27.22917 2.88 0.004 24.97738 131.7714 + 1302 | 6.34968 23.44735 0.27 0.787 -39.63109 52.33045 + 1303 | 22.10854 20.06976 1.10 0.271 -17.2487 61.46579 + 1304 | 56.6856 22.84426 2.48 0.013 11.8875 101.4837 + 1305 | 23.0463 23.19104 0.99 0.320 -22.43184 68.52445 + 1399 | 5.132989 30.66227 0.17 0.867 -54.99641 65.26238 + 1400 | 27.43618 22.67607 1.21 0.226 -17.0321 71.90445 + 1401 | 36.54577 23.77686 1.54 0.124 -10.08119 83.17272 + 1403 | 65.57617 27.5045 2.38 0.017 11.63922 119.5131 + 1404 | 32.36863 29.56884 1.09 0.274 -25.61652 90.35378 + 1405 | 40.20211 26.38126 1.52 0.128 -11.53212 91.93635 + 1406 | 37.78744 22.60266 1.67 0.095 -6.536881 82.11176 + 1407 | 118.9653 39.87129 2.98 0.003 40.77685 197.1538 + 1408 | 15.84499 26.86818 0.59 0.555 -36.8441 68.53408 + 1409 | 61.13969 28.73666 2.13 0.033 4.786464 117.4929 + 1410 | 67.24167 27.42444 2.45 0.014 13.46173 121.0216 + 1499 | 18.92839 30.79862 0.61 0.539 -41.46838 79.32516 + 1500 | 27.72126 24.19771 1.15 0.252 -19.73098 75.1735 + 1501 | 47.48929 21.36203 2.22 0.026 5.597879 89.38071 + 1502 | 43.8504 21.62376 2.03 0.043 1.445732 86.25507 + 1504 | 42.50067 22.0912 1.92 0.054 -.8206659 85.82201 + 1505 | 66.46882 22.45176 2.96 0.003 22.44042 110.4972 + 1507 | 56.9029 31.71671 1.79 0.073 -5.29427 119.1001 + 1520 | 69.35559 28.81382 2.41 0.016 12.85104 125.8601 + 1521 | 23.42341 20.73162 1.13 0.259 -17.23175 64.07856 + 1522 | 125.2817 25.94099 4.83 0.000 74.41088 176.1526 + 1523 | 33.03983 22.11037 1.49 0.135 -10.3191 76.39876 + 1524 | 53.05523 33.07171 1.60 0.109 -11.79912 117.9096 + 1525 | 34.81333 22.76995 1.53 0.126 -9.839038 79.4657 + 1526 | 96.94659 26.68518 3.63 0.000 44.61637 149.2768 + 1599 | 61.95562 23.72766 2.61 0.009 15.42515 108.4861 + 1600 | 41.97473 27.23381 1.54 0.123 -11.43138 95.38084 + 1602 | 37.53988 36.72028 1.02 0.307 -34.46939 109.5492 + 1603 | 7.0395 26.42252 0.27 0.790 -44.77565 58.85465 + 1604 | 24.90775 28.55974 0.87 0.383 -31.09853 80.91403 + 1605 | 25.00368 25.98086 0.96 0.336 -25.94536 75.95272 + 1606 | 29.77151 28.13625 1.06 0.290 -25.4043 84.94733 + 1608 | 62.4683 21.14116 2.95 0.003 21.01002 103.9266 + 1609 | 62.95836 21.95238 2.87 0.004 19.90924 106.0075 + 1610 | 37.07991 30.07725 1.23 0.218 -21.90224 96.06207 + 1611 | 37.26691 27.24882 1.37 0.172 -16.16862 90.70245 + 1612 | 58.28917 24.78774 2.35 0.019 9.679865 106.8985 + 1614 | -.1898617 33.59508 -0.01 0.995 -66.07056 65.69083 + 1615 | 40.8259 24.30328 1.68 0.093 -6.833375 88.48518 + 1616 | 32.7548 23.8167 1.38 0.169 -13.95029 79.45989 + 1617 | 36.35845 31.24419 1.16 0.245 -24.9121 97.629 + 1619 | 6.682364 24.36088 0.27 0.784 -41.08985 54.45458 + 1620 | 51.08423 35.59009 1.44 0.151 -18.70872 120.8772 + 1698 | 35.48297 28.44793 1.25 0.212 -20.30405 91.26998 + 1699 | 46.18241 22.32133 2.07 0.039 2.409784 89.95504 + 1700 | 69.47823 43.97842 1.58 0.114 -16.76442 155.7209 + 1701 | 65.32867 40.49624 1.61 0.107 -14.08536 144.7427 + 1704 | 91.33319 27.52152 3.32 0.001 37.36289 145.3035 + 1705 | 26.94872 32.86146 0.82 0.412 -37.49334 91.39078 + 1706 | 63.9398 23.0264 2.78 0.006 18.78451 109.0951 + 1707 | 51.55217 22.84346 2.26 0.024 6.755635 96.34871 + 1708 | 45.58457 25.93507 1.76 0.079 -5.274667 96.44381 + 1709 | 82.76376 22.55484 3.67 0.000 38.53322 126.9943 + 1798 | 61.29765 26.34391 2.33 0.020 9.636664 112.9586 + 1799 | -2.197287 43.86476 -0.05 0.960 -88.21706 83.82249 + 1800 | 26.16841 25.19798 1.04 0.299 -23.24539 75.58222 + 1802 | 81.44514 25.34449 3.21 0.001 31.74403 131.1463 + 1803 | 23.69619 23.06223 1.03 0.304 -21.52936 68.92173 + 1804 | 106.131 39.72251 2.67 0.008 28.2343 184.0278 + 1806 | 18.70065 24.64504 0.76 0.448 -29.62882 67.03012 + 1807 | -47.57625 19.57964 -2.43 0.015 -85.97236 -9.180142 + 1808 | -11.72544 33.82483 -0.35 0.729 -78.05668 54.60581 + 1899 | 17.23167 76.89945 0.22 0.823 -133.5698 168.0332 + 1900 | 54.37496 30.48408 1.78 0.075 -5.405003 114.1549 + 1901 | 16.7774 21.74354 0.77 0.440 -25.86216 59.41697 + 1902 | 59.31303 25.48922 2.33 0.020 9.3281 109.298 + 1905 | 102.6045 28.16335 3.64 0.000 47.3756 157.8335 + 1906 | 24.25417 24.66691 0.98 0.326 -24.11819 72.62652 + 1907 | 60.63402 26.64616 2.28 0.023 8.380311 112.8877 + 1908 | 51.46431 29.61005 1.74 0.082 -6.601662 109.5303 + 1909 | 51.08718 26.43422 1.93 0.053 -.7509245 102.9253 + 1910 | 13.96611 31.29476 0.45 0.655 -47.4036 75.33583 + 1911 | 51.85714 46.2195 1.12 0.262 -38.78033 142.4946 + 1912 | -24.55544 20.09882 -1.22 0.222 -63.96967 14.8588 + 1914 | 71.50229 30.90992 2.31 0.021 10.88726 132.1173 + 1915 | 63.62765 37.73229 1.69 0.092 -10.3662 137.6215 + 1919 | 90.26174 30.12895 3.00 0.003 31.17821 149.3453 + 1920 | 48.20246 25.37031 1.90 0.058 -1.549278 97.95419 + 1925 | 60.49542 24.01124 2.52 0.012 13.40885 107.582 + 1926 | -11.75124 23.90621 -0.49 0.623 -58.63185 35.12938 + 1927 | 28.43222 25.89185 1.10 0.272 -22.34227 79.20671 + 1929 | 26.04754 23.16893 1.12 0.261 -19.38726 71.48233 + 1999 | 32.24638 45.57976 0.71 0.479 -57.13654 121.6293 + 2000 | 24.35853 22.55098 1.08 0.280 -19.86443 68.5815 + 2001 | 18.59127 22.12028 0.84 0.401 -24.7871 61.96963 + 2002 | 21.56988 20.51096 1.05 0.293 -18.65258 61.79233 + 2003 | 40.44369 22.60575 1.79 0.074 -3.886682 84.77406 + 2004 | 42.28832 20.2151 2.09 0.037 2.646049 81.93058 + 2005 | 20.18788 27.38373 0.74 0.461 -33.51222 73.88797 + 2006 | 103.9491 21.65218 4.80 0.000 61.48875 146.4096 + 2007 | 14.77242 30.98998 0.48 0.634 -45.99962 75.54447 + 2008 | 90.84397 20.42904 4.45 0.000 50.78216 130.9058 + 2009 | 6.195698 26.39414 0.23 0.814 -45.5638 57.9552 + 2011 | 18.5899 20.13559 0.92 0.356 -20.89644 58.07624 + 2012 | 5.385499 20.04168 0.27 0.788 -33.91668 44.68768 + 2013 | 19.45115 32.0925 0.61 0.545 -43.48295 82.38526 + 2014 | 37.00412 25.66622 1.44 0.150 -13.32791 87.33615 + 2015 | 64.34446 36.96848 1.74 0.082 -8.151551 136.8405 + 2030 | 23.27339 26.38834 0.88 0.378 -28.47474 75.02152 + 2099 | 28.22665 25.79677 1.09 0.274 -22.36139 78.81469 + 2100 | -3.905812 22.63797 -0.17 0.863 -48.29938 40.48775 + 2101 | 60.66293 20.51331 2.96 0.003 20.43588 100.89 + 2102 | 47.54658 22.01966 2.16 0.031 4.365541 90.72762 + 2103 | 20.20848 20.40982 0.99 0.322 -19.81563 60.23258 + 2104 | 29.91539 20.57906 1.45 0.146 -10.44061 70.27138 + 2105 | 79.10522 29.7998 2.65 0.008 20.66716 137.5433 + 2199 | 15.81733 53.15872 0.30 0.766 -88.4281 120.0628 + 9999 | -14.72306 23.7058 -0.62 0.535 -61.21067 31.76454 + | + house_administration | -16.0369 5.065655 -3.17 0.002 -25.97076 -6.103036 + house_agriculture | 1.92278 4.779951 0.40 0.688 -7.45081 11.29637 + house_appropriations | -67.12581 9.136762 -7.35 0.000 -85.0432 -49.20842 + house_armedservices | 4.957317 5.084912 0.97 0.330 -5.014309 14.92894 + house_budget | -7.656734 7.414799 -1.03 0.302 -22.19732 6.883851 + house_dc | 12.77005 26.69453 0.48 0.632 -39.57851 65.11862 + house_educlabor | -12.46329 3.746643 -3.33 0.001 -19.81054 -5.116042 + house_energycommerce | 5.643153 3.125449 1.81 0.071 -.4859222 11.77223 + house_foreignaffairs | 16.14873 7.784433 2.07 0.038 .8832799 31.41417 + house_governmentop | 2.221916 4.845903 0.46 0.647 -7.281006 11.72484 + house_intelligence | -38.15937 20.66283 -1.85 0.065 -78.67964 2.360896 + house_interior | 11.37215 6.701043 1.70 0.090 -1.768741 24.51305 + house_judiciary | -.0540257 4.120243 -0.01 0.990 -8.133914 8.025862 + house_mmf | -2.667908 6.110019 -0.44 0.662 -14.64979 9.313975 + house_pocs | -2.174544 5.152027 -0.42 0.673 -12.27778 7.928695 + house_pwt | -8.137312 5.238961 -1.55 0.121 -18.41103 2.136407 + house_rules | -15.36409 5.12365 -3.00 0.003 -25.41168 -5.316497 + house_sst | 1.381567 12.01907 0.11 0.908 -22.1881 24.95123 + house_smallbusi | 30.14826 17.57274 1.72 0.086 -4.312274 64.60879 + house_soc | -4.511478 21.64143 -0.21 0.835 -46.95081 37.92785 + house_veterans | 18.14317 6.197434 2.93 0.003 5.989869 30.29648 + house_waysandmeans | -.2904247 2.498571 -0.12 0.907 -5.190177 4.609328 +house_naturalresources | 2.270988 7.303853 0.31 0.756 -12.05203 16.59401 + house_bfs | .2173217 4.495159 0.05 0.961 -8.597786 9.032429 + house_eeo | -27.82035 7.420364 -3.75 0.000 -42.37184 -13.26885 + house_govreform | -.7907372 4.159396 -0.19 0.849 -8.947405 7.365931 + house_ir | 12.89796 6.867487 1.88 0.060 -.5693313 26.36526 + house_natsecur | 5.546604 10.56078 0.53 0.599 -15.16332 26.25653 + house_oversight | 3.059672 5.880621 0.52 0.603 -8.472356 14.5917 + house_resources | -22.42651 4.93774 -4.54 0.000 -32.10953 -12.74349 + house_science | 7.980313 9.969259 0.80 0.424 -11.56962 27.53025 + house_transp | 11.26451 5.672366 1.99 0.047 .1408785 22.38815 + house_homeland | -4.972847 9.777299 -0.51 0.611 -24.14635 14.20065 + sponsor_democrat | 0 (omitted) + sponsor_rookie | -5.4966 3.487234 -1.58 0.115 -12.33514 1.341943 + sponsor_tenure_run | 1.146299 .4958353 2.31 0.021 .1739546 2.118643 + sponsor_age | -.0074771 .133928 -0.06 0.955 -.270113 .2551587 + leader | 2.687984 4.109266 0.65 0.513 -5.370378 10.74635 + ivycoll | 1.56851 3.631107 0.43 0.666 -5.552171 8.689191 + black | 5.248234 15.86328 0.33 0.741 -25.86002 36.35649 + occ0 | 14.98097 3.506715 4.27 0.000 8.104228 21.85772 + occ1 | 6.354701 4.310884 1.47 0.141 -2.099038 14.80844 + occ2 | 15.53408 3.243853 4.79 0.000 9.172814 21.89535 + occ3 | -.7337196 4.332908 -0.17 0.866 -9.230649 7.76321 + occ4 | 11.2073 3.183596 3.52 0.000 4.964202 17.45041 + borninstate | -3.855419 2.731688 -1.41 0.158 -9.212319 1.501482 + tot_bills | .1490922 .1210618 1.23 0.218 -.0883127 .386497 + NE | -8.884854 3.362695 -2.64 0.008 -15.47917 -2.290536 + MW | 8.72014 3.458479 2.52 0.012 1.937987 15.50229 + WE | 9.102209 3.585933 2.54 0.011 2.070114 16.1343 + pct_black | -8.649325 15.8356 -0.55 0.585 -39.70328 22.40463 + pct_urban | -.4370503 8.046333 -0.05 0.957 -16.21609 15.34199 + pct_for_born | -41.14693 23.24851 -1.77 0.077 -86.73778 4.443925 + pct_age_over65 | 83.82613 30.99594 2.70 0.007 23.0424 144.6099 + lninc | 12.56591 7.890866 1.59 0.111 -2.908259 28.04007 + lnpden | 3.543366 1.188119 2.98 0.003 1.213438 5.873294 + _cons | -150.5328 80.91745 -1.86 0.063 -309.2137 8.148112 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,235 1 0 1 1 + + +j = 2 k = 1 + + +rdbwselect_2014 var_cosp_dwnom1_spons MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11931 +----------------------+---------------------- NN matches = 3 + Number of obs | 6120 5811 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 12.8116 24.00331 .5337432 +---------------------------------------------- +reg var_cosp_dwnom1_spons sponsor_female i.v2 MV1_female femaleXMV1_female if tag_bill==1 & sample==1 & abs(MV1_female)<=12.81160304934989, robust cluster(group_spo +> nsor) + +Linear regression Number of obs = 2,136 + F(13, 181) = 7.52 + Prob > F = 0.0000 + R-squared = 0.0490 + Root MSE = 101.62 + + (Std. Err. adjusted for 182 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust +var_cosp_dwnom1~s | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -4.441433 12.34934 -0.36 0.720 -28.80861 19.92574 + | + v2 | + 102 | -3.553252 7.446362 -0.48 0.634 -18.24609 11.13959 + 103 | -1.001545 6.757067 -0.15 0.882 -14.3343 12.33121 + 104 | 15.8883 10.32676 1.54 0.126 -4.488022 36.26462 + 105 | 11.2046 8.725111 1.28 0.201 -6.011411 28.42062 + 106 | 42.62776 11.95868 3.56 0.000 19.03141 66.22411 + 107 | 43.6293 10.46822 4.17 0.000 22.97387 64.28474 + 108 | 53.78562 21.29866 2.53 0.012 11.76002 95.81122 + 109 | 45.05449 10.32694 4.36 0.000 24.67781 65.43118 + 110 | 48.4374 11.7858 4.11 0.000 25.18216 71.69265 + 111 | 50.09437 10.75191 4.66 0.000 28.87916 71.30957 + | + MV1_female | -1.315764 1.17296 -1.12 0.263 -3.630198 .9986701 +femaleXMV1_female | 2.32715 1.549715 1.50 0.135 -.7306822 5.384982 + _cons | 46.26453 10.57442 4.38 0.000 25.39955 67.12951 +----------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 181 1 0 1 1 + + +j = 2 k = 2 + + +rdbwselect_2014 var_cosp_dwnom1_spons MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6150 +----------------------+---------------------- NN matches = 3 + Number of obs | 2174 3976 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 23.19646 41.38236 .5605399 +---------------------------------------------- +reg var_cosp_dwnom1_spons sponsor_female i.v2 MV1_female femaleXMV1_female if sponsor_party==100 & tag_bill==1 & sample==1 & abs(MV1_female)<=23.19646467845582, rob +> ust cluster(group_sponsor) + +Linear regression Number of obs = 1,899 + F(13, 160) = 3.78 + Prob > F = 0.0000 + R-squared = 0.0338 + Root MSE = 104.4 + + (Std. Err. adjusted for 161 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust +var_cosp_dwnom1~s | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | 5.008438 10.28175 0.49 0.627 -15.29702 25.31389 + | + v2 | + 102 | -17.71259 15.95557 -1.11 0.269 -49.22327 13.7981 + 103 | -12.72451 15.65101 -0.81 0.417 -43.63371 18.18468 + 104 | 2.865607 17.42873 0.16 0.870 -31.55442 37.28563 + 105 | 9.21621 16.24166 0.57 0.571 -22.85947 41.29189 + 106 | 12.68178 17.87813 0.71 0.479 -22.62578 47.98934 + 107 | 26.73887 18.08054 1.48 0.141 -8.968412 62.44614 + 108 | 19.10474 18.70671 1.02 0.309 -17.83916 56.04864 + 109 | -5.482092 23.25572 -0.24 0.814 -51.40984 40.44566 + 110 | 32.29863 18.11127 1.78 0.076 -3.469342 68.06661 + 111 | 40.91427 19.09489 2.14 0.034 3.203739 78.6248 + | + MV1_female | -1.024668 .5655604 -1.81 0.072 -2.141594 .0922578 +femaleXMV1_female | 1.092645 .7905622 1.38 0.169 -.4686372 2.653928 + _cons | 50.55069 17.65147 2.86 0.005 15.69078 85.4106 +----------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 160 1 0 1 1 + + +j = 2 k = 3 + + +rdbwselect_2014 var_cosp_dwnom1_spons MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5781 +----------------------+---------------------- NN matches = 3 + Number of obs | 3946 1835 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 15.59014 26.3136 .5924746 +---------------------------------------------- +reg var_cosp_dwnom1_spons sponsor_female i.v2 MV1_female femaleXMV1_female if sponsor_party==200 & tag_bill==1 & sample==1 & abs(MV1_female)<=15.59013800750669, rob +> ust cluster(group_sponsor) + +Linear regression Number of obs = 1,515 + F(13, 122) = 4.20 + Prob > F = 0.0000 + R-squared = 0.0449 + Root MSE = 106.02 + + (Std. Err. adjusted for 123 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust +var_cosp_dwnom1~s | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | 7.940736 17.68129 0.45 0.654 -27.06114 42.94261 + | + v2 | + 102 | -10.74735 10.2646 -1.05 0.297 -31.06716 9.572451 + 103 | -10.29231 8.976192 -1.15 0.254 -28.06158 7.476957 + 104 | 8.129262 11.55161 0.70 0.483 -14.73831 30.99683 + 105 | -3.346749 11.8868 -0.28 0.779 -26.87786 20.18436 + 106 | 26.02902 14.08705 1.85 0.067 -1.857694 53.91574 + 107 | 44.33605 11.99948 3.69 0.000 20.58188 68.09023 + 108 | 67.0475 19.31882 3.47 0.001 28.80397 105.291 + 109 | 32.25809 13.8068 2.34 0.021 4.926156 59.59003 + 110 | 36.68253 17.20379 2.13 0.035 2.625903 70.73916 + 111 | 49.60705 15.48728 3.20 0.002 18.94844 80.26567 + | + MV1_female | .1598728 1.100242 0.15 0.885 -2.018165 2.337911 +femaleXMV1_female | -2.006425 2.04153 -0.98 0.328 -6.047837 2.034988 + _cons | 67.75573 10.57332 6.41 0.000 46.82478 88.68668 +----------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 122 1 0 1 1 + + +j = 3 k = 1 + + +rdbwselect_2014 var_cosp_dwnom1_spons MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11931 +----------------------+---------------------- NN matches = 3 + Number of obs | 6120 5811 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 12.8116 24.00331 .5337432 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(50,658 missing values generated) +(56,655 missing values generated) +(5,997 real changes made) +reg var_cosp_dwnom1_spons sponsor_female i.v2 MV1_female femaleXMV1_female i.minor house_* [aw=wt] if tag_bill==1 & sample==1 & abs(MV1_female)<=12.81160304934989, +> robust cluster(group_sponsor) +(sum of wgt is 4,326.83037817478) +note: house_dc omitted because of collinearity + +Linear regression Number of obs = 2,136 + F(180, 181) = . + Prob > F = . + R-squared = 0.2228 + Root MSE = 99.458 + + (Std. Err. adjusted for 182 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + var_cosp_dwnom1_spons | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -11.4854 11.39866 -1.01 0.315 -33.97676 11.00595 + | + v2 | + 102 | -4.905893 8.838701 -0.56 0.580 -22.34604 12.53425 + 103 | -4.126262 9.492886 -0.43 0.664 -22.85722 14.60469 + 104 | 2.042923 12.54028 0.16 0.871 -22.70101 26.78686 + 105 | 6.970605 11.00807 0.63 0.527 -14.75005 28.69126 + 106 | 33.07837 13.38121 2.47 0.014 6.675145 59.48159 + 107 | 43.921 11.58186 3.79 0.000 21.06816 66.77384 + 108 | 53.71114 22.30543 2.41 0.017 9.699025 97.72326 + 109 | 42.75231 12.21973 3.50 0.001 18.64087 66.86375 + 110 | 48.9668 10.8461 4.51 0.000 27.56575 70.36785 + 111 | 37.60494 15.23977 2.47 0.015 7.534488 67.67539 + | + MV1_female | -1.005463 1.147758 -0.88 0.382 -3.27017 1.259244 + femaleXMV1_female | 1.695373 1.555952 1.09 0.277 -1.374764 4.76551 + | + minor | + 101 | 22.49215 70.60169 0.32 0.750 -116.8161 161.8004 + 104 | 66.29718 65.58888 1.01 0.313 -63.11997 195.7143 + 105 | 18.09557 46.13899 0.39 0.695 -72.9439 109.1351 + 107 | 24.26866 44.53394 0.54 0.586 -63.60379 112.1411 + 108 | -45.9016 49.28847 -0.93 0.353 -143.1555 51.35229 + 200 | 31.04132 51.0517 0.61 0.544 -69.69171 131.7743 + 202 | 49.40021 42.27532 1.17 0.244 -34.01564 132.8161 + 204 | 21.47475 46.48466 0.46 0.645 -70.24678 113.1963 + 206 | -36.86419 48.39437 -0.76 0.447 -132.3539 58.6255 + 207 | -3.758809 47.71809 -0.08 0.937 -97.91409 90.39648 + 208 | 22.40322 46.80386 0.48 0.633 -69.94814 114.7546 + 209 | -72.6978 45.10411 -1.61 0.109 -161.6953 16.2997 + 300 | 50.53771 59.34418 0.85 0.396 -66.55767 167.6331 + 301 | 17.86778 48.50515 0.37 0.713 -77.8405 113.5761 + 302 | 33.90704 44.22139 0.77 0.444 -53.34871 121.1628 + 321 | -6.162631 52.95526 -0.12 0.907 -110.6517 98.32641 + 322 | 37.05333 63.57751 0.58 0.561 -88.39508 162.5017 + 323 | 52.26485 57.30021 0.91 0.363 -60.79747 165.3272 + 324 | 43.35992 52.90981 0.82 0.414 -61.03945 147.7593 + 325 | 70.28002 50.85494 1.38 0.169 -30.06476 170.6248 + 331 | 74.92665 49.75181 1.51 0.134 -23.24149 173.0948 + 332 | 16.29432 46.41075 0.35 0.726 -75.28138 107.87 + 333 | 108.0378 60.58911 1.78 0.076 -11.51401 227.5896 + 334 | 56.67286 53.3414 1.06 0.289 -48.5781 161.9238 + 335 | -14.42429 55.08835 -0.26 0.794 -123.1223 94.27368 + 336 | 84.48063 49.534 1.71 0.090 -13.25773 182.219 + 341 | 33.87541 72.4464 0.47 0.641 -109.0727 176.8235 + 342 | 93.47621 81.37719 1.15 0.252 -67.09376 254.0462 + 343 | 72.17169 52.81434 1.37 0.173 -32.03931 176.3827 + 344 | -8.36074 44.93417 -0.19 0.853 -97.02292 80.30144 + 398 | 63.23019 47.86437 1.32 0.188 -31.21374 157.6741 + 399 | 46.11224 59.05565 0.78 0.436 -70.41384 162.6383 + 400 | -51.89599 51.58874 -1.01 0.316 -153.6887 49.8967 + 401 | 62.51635 66.22372 0.94 0.346 -68.15344 193.1861 + 402 | -17.74262 60.00198 -0.30 0.768 -136.136 100.6507 + 403 | 54.83277 54.08484 1.01 0.312 -51.88512 161.5507 + 404 | 204.1623 56.85086 3.59 0.000 91.98658 316.3379 + 405 | 22.41155 74.30157 0.30 0.763 -124.1971 169.0202 + 498 | -49.98163 50.18683 -1.00 0.321 -149.0081 49.04487 + 499 | 46.07079 63.92791 0.72 0.472 -80.06902 172.2106 + 500 | -.8182745 45.41227 -0.02 0.986 -90.42382 88.78727 + 501 | -8.86743 50.8534 -0.17 0.862 -109.2092 91.47432 + 502 | 69.59638 56.48239 1.23 0.219 -41.85225 181.045 + 503 | 33.67231 47.64053 0.71 0.481 -60.32995 127.6746 + 504 | -3.239317 47.98327 -0.07 0.946 -97.91785 91.43922 + 505 | -32.22972 49.626 -0.65 0.517 -130.1496 65.69016 + 506 | -32.65194 47.54288 -0.69 0.493 -126.4615 61.15763 + 508 | 5.403317 47.69835 0.11 0.910 -88.71302 99.51966 + 530 | 26.04539 46.16517 0.56 0.573 -65.04574 117.1365 + 599 | 191.0451 49.71714 3.84 0.000 92.94537 289.1448 + 600 | -22.6899 46.362 -0.49 0.625 -114.1694 68.78961 + 601 | 29.08821 51.92757 0.56 0.576 -73.37305 131.5495 + 602 | -13.57297 43.64211 -0.31 0.756 -99.68571 72.53976 + 603 | -10.58762 50.98767 -0.21 0.836 -111.1943 90.01906 + 604 | -25.92833 45.56165 -0.57 0.570 -115.8286 63.97196 + 606 | -7.475135 60.64955 -0.12 0.902 -127.1462 112.196 + 607 | 17.6743 49.90943 0.35 0.724 -80.80484 116.1534 + 609 | 1.772833 57.92194 0.03 0.976 -112.5163 116.0619 + 698 | 3.49233 68.79537 0.05 0.960 -132.2517 139.2364 + 699 | -4.861358 47.34599 -0.10 0.918 -98.28244 88.55972 + 700 | -36.11353 44.51803 -0.81 0.418 -123.9546 51.72753 + 701 | .7706919 57.92956 0.01 0.989 -113.5334 115.0748 + 703 | 125.4798 61.244 2.05 0.042 4.63577 246.3238 + 704 | 2.705219 47.56101 0.06 0.955 -91.14012 96.55056 + 705 | 30.44603 52.35833 0.58 0.562 -72.86518 133.7572 + 707 | 61.48299 64.39081 0.95 0.341 -65.57018 188.5362 + 709 | 33.15473 43.48439 0.76 0.447 -52.64681 118.9563 + 710 | 137.5773 67.82076 2.03 0.044 3.756287 271.3983 + 711 | 18.93065 137.6975 0.14 0.891 -252.7681 290.6294 + 798 | 31.7125 47.1798 0.67 0.502 -61.38065 124.8057 + 799 | 6.861509 41.47275 0.17 0.869 -74.97075 88.69377 + 800 | -7.58483 51.89611 -0.15 0.884 -109.984 94.81434 + 801 | 137.7097 63.21384 2.18 0.031 12.97889 262.4406 + 802 | -41.21484 49.94296 -0.83 0.410 -139.7601 57.33047 + 803 | -1.704746 49.91097 -0.03 0.973 -100.1869 96.77744 + 805 | -46.24063 44.9064 -1.03 0.305 -134.848 42.36675 + 806 | 15.33759 39.77877 0.39 0.700 -63.15217 93.82735 + 807 | -34.77684 47.35755 -0.73 0.464 -128.2207 58.66704 + 898 | -2.784943 46.07589 -0.06 0.952 -93.69992 88.13003 + 899 | 24.55979 41.00316 0.60 0.550 -56.34588 105.4655 + 1000 | 472.8492 142.3294 3.32 0.001 192.0109 753.6876 + 1001 | -31.54048 56.16743 -0.56 0.575 -142.3676 79.28668 + 1002 | -36.80877 65.64128 -0.56 0.576 -166.3293 92.71179 + 1003 | 19.62657 49.95815 0.39 0.695 -78.94869 118.2018 + 1005 | 68.1616 55.1751 1.24 0.218 -40.70754 177.0307 + 1006 | 40.79977 55.8923 0.73 0.466 -69.48451 151.0841 + 1007 | 28.11767 51.20865 0.55 0.584 -72.92505 129.1604 + 1010 | -49.43239 65.58157 -0.75 0.452 -178.8351 79.97033 + 1200 | -76.8007 50.29137 -1.53 0.128 -176.0335 22.43207 + 1201 | 45.07814 73.21064 0.62 0.539 -99.37795 189.5342 + 1202 | 3.339121 65.68224 0.05 0.960 -126.2623 132.9405 + 1203 | 110.3026 71.71548 1.54 0.126 -31.20333 251.8085 + 1204 | 53.80313 53.44925 1.01 0.315 -51.66064 159.2669 + 1205 | 15.90915 54.72738 0.29 0.772 -92.07657 123.8949 + 1206 | 33.0908 54.81284 0.60 0.547 -75.06353 141.2451 + 1207 | 47.08677 47.19962 1.00 0.320 -46.04548 140.219 + 1208 | 1.596144 46.37238 0.03 0.973 -89.90385 93.09614 + 1209 | 33.27201 47.37671 0.70 0.483 -60.20967 126.7537 + 1210 | 43.88375 62.02464 0.71 0.480 -78.50061 166.2681 + 1211 | 35.62154 47.31039 0.75 0.452 -57.7293 128.9724 + 1299 | 192.3709 46.73315 4.12 0.000 100.1591 284.5827 + 1300 | -21.26735 53.39255 -0.40 0.691 -126.6192 84.08453 + 1301 | -10.99563 52.00129 -0.21 0.833 -113.6023 91.61107 + 1302 | -10.80546 59.27468 -0.18 0.856 -127.7637 106.1528 + 1303 | 24.68206 47.66806 0.52 0.605 -69.37451 118.7386 + 1304 | 54.60044 47.86414 1.14 0.255 -39.84303 149.0439 + 1305 | -25.36866 47.42748 -0.53 0.593 -118.9505 68.21321 + 1399 | -38.88347 49.01235 -0.79 0.429 -135.5925 57.8256 + 1400 | 57.77738 52.26875 1.11 0.270 -45.35708 160.9118 + 1401 | -42.54703 66.3489 -0.64 0.522 -173.4638 88.36977 + 1403 | 10.95246 40.41785 0.27 0.787 -68.79832 90.70323 + 1404 | 28.927 93.30327 0.31 0.757 -155.175 213.029 + 1405 | -5.394944 88.20403 -0.06 0.951 -179.4353 168.6455 + 1406 | 34.02172 59.75655 0.57 0.570 -83.88735 151.9308 + 1407 | 24.17418 51.22562 0.47 0.638 -76.90201 125.2504 + 1408 | 116.0019 40.41785 2.87 0.005 36.25113 195.7527 + 1409 | 15.75148 51.21115 0.31 0.759 -85.29616 116.7991 + 1410 | 126.6657 105.4943 1.20 0.231 -81.49116 334.8225 + 1499 | -59.50745 41.8634 -1.42 0.157 -142.1105 23.09562 + 1500 | 94.64758 60.5763 1.56 0.120 -24.87898 214.1741 + 1501 | 112.9329 40.50537 2.79 0.006 33.00944 192.8563 + 1502 | -21.5556 46.51843 -0.46 0.644 -113.3438 70.23257 + 1504 | 30.32459 63.01232 0.48 0.631 -94.00862 154.6578 + 1505 | 251.1622 142.3447 1.76 0.079 -29.70626 532.0308 + 1507 | -29.21939 49.76317 -0.59 0.558 -127.4099 68.97116 + 1520 | 6.130151 57.04063 0.11 0.915 -106.42 118.6803 + 1521 | 20.74992 47.36039 0.44 0.662 -72.69957 114.1994 + 1522 | 17.99991 47.42748 0.38 0.705 -75.58196 111.5818 + 1523 | -23.92934 48.99595 -0.49 0.626 -120.606 72.74736 + 1524 | 92.3807 50.25651 1.84 0.068 -6.783297 191.5447 + 1525 | -5.196703 46.82447 -0.11 0.912 -97.58874 87.19533 + 1526 | 169.9874 51.61414 3.29 0.001 68.14458 271.8302 + 1599 | 40.57851 68.18208 0.60 0.552 -93.95545 175.1125 + 1600 | -8.903603 51.45468 -0.17 0.863 -110.4318 92.62456 + 1603 | -131.3709 64.51529 -2.04 0.043 -258.6697 -4.072087 + 1604 | -2.288076 55.77756 -0.04 0.967 -112.346 107.7698 + 1605 | -40.84777 52.17324 -0.78 0.435 -143.7938 62.09823 + 1606 | 47.74955 43.45658 1.10 0.273 -37.99711 133.4962 + 1608 | 2.804704 50.65371 0.06 0.956 -97.14303 102.7524 + 1609 | 45.44772 49.55366 0.92 0.360 -52.32944 143.2249 + 1610 | -12.70704 62.51176 -0.20 0.839 -136.0526 110.6385 + 1611 | -64.20422 59.20516 -1.08 0.280 -181.0253 52.61686 + 1612 | -39.41313 57.94023 -0.68 0.497 -153.7383 74.91204 + 1615 | 11.39395 56.30305 0.20 0.840 -99.70081 122.4887 + 1616 | 33.36624 46.15306 0.72 0.471 -57.70099 124.4335 + 1617 | 156.1506 53.40745 2.92 0.004 50.76931 261.5319 + 1619 | 23.16838 61.67778 0.38 0.708 -98.53156 144.8683 + 1620 | -61.49596 54.0634 -1.14 0.257 -168.1715 45.17962 + 1698 | 36.29003 49.35807 0.74 0.463 -61.10119 133.6813 + 1699 | -7.369884 57.91435 -0.13 0.899 -121.644 106.9042 + 1701 | 17.53465 84.60152 0.21 0.836 -149.3974 184.4667 + 1704 | 11.32506 55.68358 0.20 0.839 -98.54739 121.1975 + 1706 | 21.9057 58.06969 0.38 0.706 -92.67491 136.4863 + 1707 | 53.30515 56.78482 0.94 0.349 -58.74021 165.3505 + 1708 | 46.22146 47.23979 0.98 0.329 -46.99007 139.433 + 1709 | 37.69786 45.5389 0.83 0.409 -52.15753 127.5533 + 1798 | 17.60021 56.06301 0.31 0.754 -93.02092 128.2213 + 1800 | 4.244828 54.13134 0.08 0.938 -102.5648 111.0545 + 1802 | 54.53103 59.27993 0.92 0.359 -62.43759 171.4996 + 1803 | -32.1787 56.37918 -0.57 0.569 -143.4237 79.06627 + 1804 | 158.0499 133.5735 1.18 0.238 -105.5117 421.6115 + 1806 | 83.82514 52.34968 1.60 0.111 -19.469 187.1193 + 1807 | -43.92877 47.73014 -0.92 0.359 -138.1078 50.25028 + 1808 | -72.43047 43.53559 -1.66 0.098 -158.333 13.47209 + 1900 | -9.584058 45.36011 -0.21 0.833 -99.08667 79.91855 + 1901 | 11.38097 62.55421 0.18 0.856 -112.0483 134.8102 + 1902 | 50.56905 47.12779 1.07 0.285 -42.42149 143.5596 + 1905 | 228.7668 53.40725 4.28 0.000 123.3859 334.1477 + 1906 | 15.99803 56.19918 0.28 0.776 -94.89178 126.8878 + 1907 | 29.0464 62.24709 0.47 0.641 -93.77689 151.8697 + 1909 | 113.3295 50.53721 2.24 0.026 13.61168 213.0474 + 1910 | 18.51591 53.14929 0.35 0.728 -86.35598 123.3878 + 1914 | -62.05319 53.40725 -1.16 0.247 -167.4341 43.32771 + 1915 | -25.38477 51.85856 -0.49 0.625 -127.7098 76.94031 + 1919 | 45.38222 78.67893 0.58 0.565 -109.8637 200.6281 + 1920 | 126.5307 54.29807 2.33 0.021 19.39209 233.6693 + 1925 | 63.27039 61.77596 1.02 0.307 -58.62328 185.164 + 1926 | -26.55114 50.65729 -0.52 0.601 -126.5059 73.40364 + 1927 | 25.93482 58.29362 0.44 0.657 -89.08765 140.9573 + 1929 | -37.73839 53.65995 -0.70 0.483 -143.6179 68.14113 + 2000 | 39.98615 53.5989 0.75 0.457 -65.77291 145.7452 + 2001 | 24.23723 64.23505 0.38 0.706 -102.5086 150.9831 + 2002 | 30.39713 47.55141 0.64 0.523 -63.42927 124.2235 + 2003 | 106.3515 48.82752 2.18 0.031 10.00712 202.6958 + 2004 | 39.32006 46.76861 0.84 0.402 -52.96175 131.6019 + 2005 | -49.08773 56.58677 -0.87 0.387 -160.7423 62.56685 + 2006 | 78.82868 58.04532 1.36 0.176 -35.70386 193.3612 + 2007 | -54.49225 46.42996 -1.17 0.242 -146.1059 37.12135 + 2008 | 61.26407 49.80247 1.23 0.220 -37.00403 159.5322 + 2009 | 15.14598 47.9769 0.32 0.753 -79.51998 109.8119 + 2011 | 34.75906 46.58967 0.75 0.457 -57.16967 126.6878 + 2012 | -21.94634 45.16978 -0.49 0.628 -111.0734 67.18074 + 2013 | -24.89916 43.92945 -0.57 0.572 -111.5789 61.78054 + 2014 | 4.872851 47.95495 0.10 0.919 -89.74979 99.49549 + 2015 | 18.76247 45.545 0.41 0.681 -71.10498 108.6299 + 2099 | 135.3256 46.70742 2.90 0.004 43.16451 227.4867 + 2100 | 37.30224 75.27851 0.50 0.621 -111.2341 185.8386 + 2101 | 16.82069 49.77103 0.34 0.736 -81.38536 115.0268 + 2102 | -2.432649 61.26077 -0.04 0.968 -123.3098 118.4445 + 2103 | -15.781 56.93496 -0.28 0.782 -128.1226 96.56062 + 2104 | 18.1717 60.21332 0.30 0.763 -100.6386 136.982 + 2105 | 153.3482 79.40576 1.93 0.055 -3.331878 310.0282 + 9999 | -80.14492 53.58998 -1.50 0.137 -185.8864 25.59652 + | + house_administration | -16.56308 12.67763 -1.31 0.193 -41.57804 8.451876 + house_agriculture | 23.36691 19.36694 1.21 0.229 -14.84711 61.58094 + house_appropriations | -18.68937 23.33671 -0.80 0.424 -64.73635 27.35762 + house_armedservices | -8.931846 15.52887 -0.58 0.566 -39.57275 21.70906 + house_budget | -24.52645 19.69356 -1.25 0.215 -63.38493 14.33204 + house_dc | 0 (omitted) + house_educlabor | -10.00315 7.130512 -1.40 0.162 -24.07277 4.066469 + house_energycommerce | -10.02574 10.89695 -0.92 0.359 -31.52714 11.47565 + house_foreignaffairs | -12.91885 19.28127 -0.67 0.504 -50.96383 25.12614 + house_governmentop | -22.3152 17.98124 -1.24 0.216 -57.79501 13.1646 + house_intelligence | 95.3067 47.03086 2.03 0.044 2.507426 188.106 + house_interior | 16.60989 13.80105 1.20 0.230 -10.62175 43.84154 + house_judiciary | -12.62225 8.870494 -1.42 0.156 -30.12513 4.880626 + house_mmf | -31.92214 13.11725 -2.43 0.016 -57.80454 -6.039743 + house_pocs | -46.02675 14.47316 -3.18 0.002 -74.58457 -17.46893 + house_pwt | 31.11206 20.65954 1.51 0.134 -9.652451 71.87657 + house_rules | -12.59979 19.54958 -0.64 0.520 -51.17418 25.9746 + house_sst | 27.71081 26.45495 1.05 0.296 -24.48895 79.91058 + house_smallbusi | -15.45198 35.69417 -0.43 0.666 -85.88219 54.97823 + house_soc | -19.8712 28.5595 -0.70 0.487 -76.22358 36.48118 + house_veterans | -18.01541 14.96052 -1.20 0.230 -47.53487 11.50405 + house_waysandmeans | -2.962764 7.215967 -0.41 0.682 -17.201 11.27547 +house_naturalresources | 47.37302 20.70924 2.29 0.023 6.510426 88.23561 + house_bfs | -19.60341 15.68207 -1.25 0.213 -50.5466 11.33978 + house_eeo | 21.83135 24.93621 0.88 0.382 -27.37172 71.03442 + house_govreform | -22.21165 11.19485 -1.98 0.049 -44.30085 -.1224579 + house_ir | 9.973634 33.03741 0.30 0.763 -55.21436 75.16163 + house_natsecur | 30.99772 26.77629 1.16 0.249 -21.8361 83.83155 + house_oversight | 16.39699 14.82414 1.11 0.270 -12.85337 45.64736 + house_resources | 14.19934 16.8171 0.84 0.400 -18.98343 47.38211 + house_science | -10.08422 20.13747 -0.50 0.617 -49.81861 29.65017 + house_transp | 17.22244 17.39115 0.99 0.323 -17.09304 51.53792 + house_homeland | -23.62661 34.15775 -0.69 0.490 -91.0252 43.77199 + _cons | 40.52979 45.04602 0.90 0.369 -48.35308 129.4127 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 181 1 0 1 1 + + +j = 3 k = 2 + + +rdbwselect_2014 var_cosp_dwnom1_spons MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6150 +----------------------+---------------------- NN matches = 3 + Number of obs | 2174 3976 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 23.19646 41.38236 .5605399 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(56,245 missing values generated) +(58,396 missing values generated) +(2,151 real changes made) +reg var_cosp_dwnom1_spons sponsor_female i.v2 MV1_female femaleXMV1_female i.minor house_* [aw=wt] if sponsor_party==100 & tag_bill==1 & sample==1 & abs(MV1_female) +> <=23.19646467845582, robust cluster(group_sponsor) +(sum of wgt is 4,935.93685460091) +note: house_soc omitted because of collinearity + +Linear regression Number of obs = 1,899 + F(160, 160) = . + Prob > F = . + R-squared = 0.2929 + Root MSE = 113.93 + + (Std. Err. adjusted for 161 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + var_cosp_dwnom1_spons | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -13.55633 12.31443 -1.10 0.273 -37.87613 10.76346 + | + v2 | + 102 | -21.57381 10.45009 -2.06 0.041 -42.21171 -.9359143 + 103 | .7752538 11.3527 0.07 0.946 -21.64521 23.19572 + 104 | 1.769315 12.78769 0.14 0.890 -23.48511 27.02374 + 105 | 2.140394 12.38833 0.17 0.863 -22.32533 26.60612 + 106 | 2.580482 14.90741 0.17 0.863 -26.86018 32.02115 + 107 | 30.22753 15.36427 1.97 0.051 -.1153946 60.57046 + 108 | .7331241 13.62326 0.05 0.957 -26.17148 27.63772 + 109 | -4.571925 17.61841 -0.26 0.796 -39.36655 30.2227 + 110 | 30.56935 16.82129 1.82 0.071 -2.651029 63.78974 + 111 | 33.58825 14.8955 2.25 0.025 4.171099 63.0054 + | + MV1_female | -.0036447 .6222769 -0.01 0.995 -1.23258 1.225291 + femaleXMV1_female | .3229502 .9532604 0.34 0.735 -1.559645 2.205546 + | + minor | + 104 | -78.34992 25.37479 -3.09 0.002 -128.4626 -28.2372 + 105 | 35.74044 24.46927 1.46 0.146 -12.58396 84.06483 + 107 | -34.88178 24.9478 -1.40 0.164 -84.15122 14.38766 + 108 | -92.42175 13.45244 -6.87 0.000 -118.989 -65.85451 + 200 | 18.44177 71.26878 0.26 0.796 -122.3071 159.1906 + 202 | 20.61569 37.8289 0.54 0.587 -54.09266 95.32405 + 205 | 14.32073 22.83462 0.63 0.531 -30.77539 59.41685 + 206 | -77.43198 32.67474 -2.37 0.019 -141.9614 -12.90258 + 207 | -27.17477 32.86317 -0.83 0.410 -92.07629 37.72674 + 208 | -21.90152 24.91022 -0.88 0.381 -71.09676 27.29372 + 300 | 22.2733 46.96162 0.47 0.636 -70.47127 115.0179 + 301 | 37.695 48.17802 0.78 0.435 -57.45185 132.8418 + 302 | -31.59229 19.66485 -1.61 0.110 -70.42843 7.243859 + 321 | 25.20332 50.81668 0.50 0.621 -75.15462 125.5613 + 322 | 31.7296 65.00981 0.49 0.626 -96.65838 160.1176 + 323 | 28.18052 38.26583 0.74 0.463 -47.39072 103.7518 + 324 | 30.22526 35.07553 0.86 0.390 -39.04546 99.49598 + 325 | 12.19281 36.58721 0.33 0.739 -60.06332 84.44893 + 331 | 27.33338 29.89514 0.91 0.362 -31.70659 86.37334 + 332 | -22.60806 29.45145 -0.77 0.444 -80.77177 35.55564 + 333 | -3.799582 39.40933 -0.10 0.923 -81.62914 74.02998 + 334 | 38.98852 23.62696 1.65 0.101 -7.672404 85.64944 + 335 | -36.19214 34.36852 -1.05 0.294 -104.0666 31.6823 + 336 | 24.69283 27.56391 0.90 0.372 -29.74318 79.12883 + 341 | 11.47528 31.40532 0.37 0.715 -50.54714 73.4977 + 342 | 124.8186 81.94955 1.52 0.130 -37.0237 286.6609 + 343 | 83.03214 39.64852 2.09 0.038 4.73021 161.3341 + 344 | -69.73433 18.31899 -3.81 0.000 -105.9125 -33.55613 + 398 | 6.419629 33.40429 0.19 0.848 -59.55055 72.38981 + 399 | -44.37213 32.34871 -1.37 0.172 -108.2576 19.51339 + 400 | -75.25965 22.21098 -3.39 0.001 -119.1242 -31.39515 + 401 | 22.30453 41.41199 0.54 0.591 -59.48007 104.0891 + 402 | -52.8836 27.48139 -1.92 0.056 -107.1566 1.389447 + 403 | 15.6705 35.77244 0.44 0.662 -54.97656 86.31756 + 404 | 106.8453 70.27783 1.52 0.130 -31.94648 245.6371 + 405 | -35.88579 48.46953 -0.74 0.460 -131.6083 59.83676 + 498 | -32.471 57.01259 -0.57 0.570 -145.0652 80.12325 + 499 | -93.16627 26.54448 -3.51 0.001 -145.589 -40.74354 + 500 | -125.3028 30.76795 -4.07 0.000 -186.0665 -64.5391 + 501 | -51.76038 16.33505 -3.17 0.002 -84.02051 -19.50026 + 502 | 12.26163 37.08841 0.33 0.741 -60.98431 85.50758 + 503 | -50.7714 21.94713 -2.31 0.022 -94.11482 -7.427976 + 504 | -26.91742 40.35138 -0.67 0.506 -106.6074 52.77258 + 505 | -80.28947 17.63166 -4.55 0.000 -115.1103 -45.46868 + 506 | -69.20141 23.35554 -2.96 0.004 -115.3263 -23.07652 + 508 | -60.13976 16.23294 -3.70 0.000 -92.19823 -28.0813 + 530 | 29.86934 44.65239 0.67 0.505 -58.31473 118.0534 + 600 | -76.96287 15.45806 -4.98 0.000 -107.491 -46.43473 + 601 | -38.6958 18.02695 -2.15 0.033 -74.29725 -3.094345 + 602 | -63.0234 16.14485 -3.90 0.000 -94.9079 -31.1389 + 603 | -64.4116 28.81779 -2.24 0.027 -121.3239 -7.499294 + 604 | -66.40625 19.27268 -3.45 0.001 -104.4679 -28.3446 + 606 | -38.15461 44.91327 -0.85 0.397 -126.8539 50.54467 + 607 | -63.33522 18.67705 -3.39 0.001 -100.2206 -26.44988 + 609 | -95.85552 19.19807 -4.99 0.000 -133.7698 -57.94122 + 698 | -71.17082 43.54092 -1.63 0.104 -157.1599 14.81821 + 699 | -27.79742 24.70228 -1.13 0.262 -76.58198 20.98714 + 700 | -8.348549 36.36434 -0.23 0.819 -80.16454 63.46744 + 701 | 39.46921 26.5472 1.49 0.139 -12.95891 91.89732 + 703 | 3.299435 32.82477 0.10 0.920 -61.52625 68.12512 + 704 | 7.635803 40.16458 0.19 0.849 -71.68529 86.95689 + 705 | -21.82873 29.39549 -0.74 0.459 -79.88193 36.22446 + 707 | 42.71065 50.2986 0.85 0.397 -56.62413 142.0454 + 708 | -32.09051 30.22317 -1.06 0.290 -91.7783 27.59728 + 709 | 52.19278 44.0433 1.19 0.238 -34.7884 139.174 + 710 | 26.35735 45.27298 0.58 0.561 -63.05232 115.767 + 711 | -87.43413 45.38903 -1.93 0.056 -177.073 2.204731 + 798 | -54.85317 36.99372 -1.48 0.140 -127.9121 18.20579 + 799 | 2.49749 23.43306 0.11 0.915 -43.7805 48.77548 + 800 | -105.348 19.9541 -5.28 0.000 -144.7554 -65.94065 + 801 | 25.16474 28.97702 0.87 0.386 -32.06202 82.39151 + 802 | -31.06292 32.57536 -0.95 0.342 -95.39606 33.27022 + 803 | -32.66162 16.50872 -1.98 0.050 -65.26471 -.0585303 + 805 | -19.622 22.45716 -0.87 0.384 -63.97269 24.72868 + 806 | -29.13067 24.90412 -1.17 0.244 -78.31386 20.05251 + 807 | -26.46268 47.41461 -0.56 0.578 -120.1019 67.17651 + 898 | -92.06703 20.14704 -4.57 0.000 -131.8554 -52.2786 + 899 | 5.262785 35.59707 0.15 0.883 -65.03793 75.5635 + 1000 | 634.5997 23.60851 26.88 0.000 587.9753 681.2242 + 1001 | 25.08351 24.97483 1.00 0.317 -24.23931 74.40633 + 1002 | 14.91444 30.50938 0.49 0.626 -45.33859 75.16747 + 1003 | 33.83627 35.84315 0.94 0.347 -36.95042 104.623 + 1005 | 37.46861 58.34649 0.64 0.522 -77.75997 152.6972 + 1006 | -14.86238 33.22109 -0.45 0.655 -80.47077 50.74601 + 1007 | -26.91256 32.05591 -0.84 0.402 -90.21983 36.39471 + 1010 | -96.02892 21.81585 -4.40 0.000 -139.1131 -52.94476 + 1200 | -67.63261 35.69426 -1.89 0.060 -138.1253 2.860035 + 1201 | -21.15672 41.13911 -0.51 0.608 -102.4024 60.08898 + 1202 | -129.9037 15.70701 -8.27 0.000 -160.9235 -98.88386 + 1203 | 84.61665 93.4247 0.91 0.366 -99.88793 269.1212 + 1204 | 28.60933 62.6031 0.46 0.648 -95.02564 152.2443 + 1205 | 8.20274 43.76692 0.19 0.852 -78.23263 94.63811 + 1206 | -67.54437 40.57405 -1.66 0.098 -147.6741 12.58538 + 1207 | 86.9067 48.31158 1.80 0.074 -8.503906 182.3173 + 1208 | -45.03044 22.76453 -1.98 0.050 -89.98815 -.0727302 + 1209 | -31.40973 34.52679 -0.91 0.364 -99.59673 36.77727 + 1210 | -47.61358 46.98692 -1.01 0.312 -140.4081 45.18096 + 1211 | -64.06799 27.18975 -2.36 0.020 -117.7651 -10.37091 + 1299 | -94.07012 16.75028 -5.62 0.000 -127.1503 -60.98997 + 1300 | -40.06586 38.61937 -1.04 0.301 -116.3353 36.20359 + 1301 | -48.23246 22.52712 -2.14 0.034 -92.7213 -3.743625 + 1302 | -103.7403 16.43635 -6.31 0.000 -136.2005 -71.28018 + 1303 | -53.06418 18.84884 -2.82 0.005 -90.28878 -15.83958 + 1304 | 17.41459 27.33353 0.64 0.525 -36.56643 71.39561 + 1305 | 64.33614 19.28755 3.34 0.001 26.24513 102.4272 + 1399 | -130.0805 16.28579 -7.99 0.000 -162.2433 -97.91764 + 1400 | 8.294501 108.2477 0.08 0.939 -205.4841 222.0731 + 1401 | -88.18029 32.28941 -2.73 0.007 -151.9487 -24.41188 + 1403 | -39.83156 27.37824 -1.45 0.148 -93.90088 14.23776 + 1404 | -105.9878 19.24823 -5.51 0.000 -144.0012 -67.97447 + 1405 | -1.854073 30.44497 -0.06 0.952 -61.97989 58.27175 + 1406 | -13.3976 36.22653 -0.37 0.712 -84.94143 58.14622 + 1407 | -43.79285 17.68325 -2.48 0.014 -78.71552 -8.87017 + 1408 | -35.31978 17.4191 -2.03 0.044 -69.72079 -.9187757 + 1409 | -52.72914 22.20037 -2.38 0.019 -96.57268 -8.885604 + 1410 | 45.18528 52.50341 0.86 0.391 -58.50378 148.8743 + 1500 | -96.73048 13.97992 -6.92 0.000 -124.3394 -69.12151 + 1501 | 15.47306 38.37626 0.40 0.687 -60.31628 91.2624 + 1502 | -42.72764 23.2595 -1.84 0.068 -88.66287 3.20758 + 1504 | -26.21653 32.28497 -0.81 0.418 -89.97617 37.54311 + 1505 | 397.4891 78.12956 5.09 0.000 243.1909 551.7873 + 1507 | -71.58159 38.56891 -1.86 0.065 -147.7514 4.588215 + 1520 | -50.21973 52.27726 -0.96 0.338 -153.4622 53.02271 + 1521 | -47.43608 31.96381 -1.48 0.140 -110.5615 15.6893 + 1522 | 66.74651 32.53051 2.05 0.042 2.501948 130.9911 + 1523 | -67.20725 17.73557 -3.79 0.000 -102.2332 -32.18125 + 1525 | -36.17393 29.57499 -1.22 0.223 -94.58162 22.23375 + 1526 | 52.69351 40.82779 1.29 0.199 -27.93737 133.3244 + 1599 | 43.85274 72.73935 0.60 0.547 -99.80031 187.5058 + 1600 | 40.55992 119.5761 0.34 0.735 -195.5912 276.711 + 1603 | -16.58875 48.02615 -0.35 0.730 -111.4357 78.25817 + 1604 | -112.616 23.77482 -4.74 0.000 -159.5689 -65.66303 + 1605 | -57.69613 30.20224 -1.91 0.058 -117.3426 1.95033 + 1606 | -28.0131 24.67887 -1.14 0.258 -76.75145 20.72524 + 1608 | -66.91022 20.19622 -3.31 0.001 -106.7958 -27.02468 + 1609 | -7.259061 23.46057 -0.31 0.757 -53.59137 39.07325 + 1610 | -47.9214 23.58043 -2.03 0.044 -94.49042 -1.35237 + 1611 | -117.7384 18.91622 -6.22 0.000 -155.0961 -80.38076 + 1612 | -75.53388 26.00818 -2.90 0.004 -126.8975 -24.1703 + 1615 | 62.54892 55.83622 1.12 0.264 -47.72212 172.82 + 1616 | -64.44905 31.85679 -2.02 0.045 -127.3631 -1.535026 + 1619 | -33.09803 41.84477 -0.79 0.430 -115.7373 49.54127 + 1620 | -32.12442 86.02155 -0.37 0.709 -202.0085 137.7597 + 1698 | -59.68802 24.09891 -2.48 0.014 -107.281 -12.09505 + 1699 | -76.35685 19.77245 -3.86 0.000 -115.4055 -37.3082 + 1701 | 86.18183 49.50726 1.74 0.084 -11.59012 183.9538 + 1706 | -21.43794 34.94182 -0.61 0.540 -90.4446 47.56872 + 1707 | 37.59781 43.49405 0.86 0.389 -48.29865 123.4943 + 1708 | 64.35549 22.37626 2.88 0.005 20.16458 108.5464 + 1709 | -7.41281 47.05818 -0.16 0.875 -100.3481 85.52247 + 1798 | -32.32417 32.19867 -1.00 0.317 -95.91338 31.26503 + 1800 | -61.95279 31.8103 -1.95 0.053 -124.775 .8694156 + 1802 | -8.285038 29.77759 -0.28 0.781 -67.09284 50.52276 + 1803 | -41.2913 27.97151 -1.48 0.142 -96.53228 13.94967 + 1804 | -99.68637 11.87788 -8.39 0.000 -123.144 -76.22873 + 1806 | -9.012878 42.40327 -0.21 0.832 -92.75516 74.72941 + 1807 | -78.07622 10.6166 -7.35 0.000 -99.04296 -57.10948 + 1900 | 103.5283 24.88112 4.16 0.000 54.39055 152.6661 + 1901 | -24.08258 34.19313 -0.70 0.482 -91.61064 43.44548 + 1902 | -28.54073 17.6817 -1.61 0.108 -63.46035 6.378894 + 1905 | 36.83557 41.49666 0.89 0.376 -45.11625 118.7874 + 1906 | 10.09301 40.08281 0.25 0.802 -69.06659 89.25261 + 1908 | -16.07533 58.3459 -0.28 0.783 -131.3027 99.15207 + 1909 | 40.57108 27.90975 1.45 0.148 -14.54793 95.69008 + 1911 | 56.7112 45.81062 1.24 0.218 -33.76026 147.1827 + 1912 | -5.08912 38.59512 -0.13 0.895 -81.31068 71.13244 + 1920 | -12.22229 50.7719 -0.24 0.810 -112.4918 88.04723 + 1925 | 60.59038 43.44591 1.39 0.165 -25.21102 146.3918 + 1926 | 106.5762 43.46318 2.45 0.015 20.74068 192.4117 + 1927 | -50.03644 57.68082 -0.87 0.387 -163.9504 63.87751 + 1929 | -73.39221 34.36241 -2.14 0.034 -141.2546 -5.529836 + 1999 | 452.9286 22.92738 19.75 0.000 407.6493 498.2079 + 2000 | 34.56166 54.32293 0.64 0.526 -72.72078 141.8441 + 2001 | -50.0632 30.71434 -1.63 0.105 -110.721 10.59459 + 2002 | 48.67586 38.80779 1.25 0.212 -27.9657 125.3174 + 2003 | 15.19125 35.37477 0.43 0.668 -54.67044 85.05294 + 2004 | -14.52197 28.11274 -0.52 0.606 -70.04186 40.99792 + 2005 | 110.5007 47.19388 2.34 0.020 17.29743 203.704 + 2006 | 24.50407 35.51649 0.69 0.491 -45.63751 94.64565 + 2007 | -72.14611 25.60309 -2.82 0.005 -122.7097 -21.58254 + 2008 | 21.2703 19.37757 1.10 0.274 -16.99848 59.53909 + 2011 | 26.40914 31.40155 0.84 0.402 -35.60584 88.42412 + 2012 | -26.23257 30.73555 -0.85 0.395 -86.93226 34.46711 + 2013 | -24.01071 21.82847 -1.10 0.273 -67.11978 19.09837 + 2014 | 225.8577 59.59999 3.79 0.000 108.1535 343.5618 + 2030 | -4.43513 24.90149 -0.18 0.859 -53.61311 44.74285 + 2099 | 57.09472 25.34056 2.25 0.026 7.049605 107.1398 + 2100 | 35.79668 23.82484 1.50 0.135 -11.25503 82.84839 + 2101 | 5.154973 21.53104 0.24 0.811 -37.36671 47.67665 + 2102 | -2.061203 26.67112 -0.08 0.938 -54.73405 50.61164 + 2103 | -18.90234 19.82922 -0.95 0.342 -58.0631 20.25842 + 2104 | 49.59364 39.60943 1.25 0.212 -28.63109 127.8184 + 9999 | -142.4624 14.30221 -9.96 0.000 -170.7078 -114.2169 + | + house_administration | -35.06578 21.66551 -1.62 0.108 -77.85304 7.721474 + house_agriculture | -1.389037 16.70801 -0.08 0.934 -34.38571 31.60764 + house_appropriations | 9.093715 41.97618 0.22 0.829 -73.80511 91.99254 + house_armedservices | 21.67866 16.79981 1.29 0.199 -11.49931 54.85664 + house_budget | -83.80349 17.87549 -4.69 0.000 -119.1058 -48.50114 + house_dc | -75.33158 55.13562 -1.37 0.174 -184.219 33.55584 + house_educlabor | 3.843135 9.03639 0.43 0.671 -14.00285 21.68912 + house_energycommerce | -37.58824 21.56003 -1.74 0.083 -80.16718 4.990698 + house_foreignaffairs | .0253854 23.72136 0.00 0.999 -46.82197 46.87274 + house_governmentop | -76.74887 22.2813 -3.44 0.001 -120.7522 -32.7455 + house_intelligence | -30.25914 35.77939 -0.85 0.399 -100.9199 40.40164 + house_interior | -43.64957 15.68667 -2.78 0.006 -74.62919 -12.66995 + house_judiciary | -13.83422 23.82405 -0.58 0.562 -60.88437 33.21593 + house_mmf | .3358749 19.59433 0.02 0.986 -38.361 39.03275 + house_pocs | 1.019626 24.24744 0.04 0.967 -46.86667 48.90593 + house_pwt | -66.0452 18.40505 -3.59 0.000 -102.3934 -29.69704 + house_rules | -14.86182 19.48969 -0.76 0.447 -53.35204 23.6284 + house_sst | 17.29318 27.28701 0.63 0.527 -36.59598 71.18235 + house_smallbusi | 6.13163 31.6536 0.19 0.847 -56.38111 68.64437 + house_soc | 0 (omitted) + house_veterans | -6.580519 11.55179 -0.57 0.570 -29.39416 16.23312 + house_waysandmeans | 17.65186 11.86529 1.49 0.139 -5.780907 41.08463 +house_naturalresources | -47.52044 14.36883 -3.31 0.001 -75.89747 -19.14341 + house_bfs | -11.74822 14.21363 -0.83 0.410 -39.81875 16.32231 + house_eeo | -40.02196 15.88791 -2.52 0.013 -71.39902 -8.644901 + house_govreform | 13.68828 14.904 0.92 0.360 -15.74566 43.12221 + house_ir | -27.36617 17.20551 -1.59 0.114 -61.34536 6.613029 + house_natsecur | 48.15561 22.8054 2.11 0.036 3.117194 93.19402 + house_oversight | -14.40359 21.93665 -0.66 0.512 -57.72631 28.91914 + house_resources | 5.855734 22.36864 0.26 0.794 -38.32013 50.0316 + house_science | 16.00842 25.5358 0.63 0.532 -34.42227 66.4391 + house_transp | 2.971079 17.81671 0.17 0.868 -32.21517 38.15733 + house_homeland | -58.29751 55.5449 -1.05 0.296 -167.9932 51.3982 + _cons | 91.20421 16.87243 5.41 0.000 57.88282 124.5256 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 160 1 0 1 1 + + +j = 3 k = 3 + + +rdbwselect_2014 var_cosp_dwnom1_spons MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5781 +----------------------+---------------------- NN matches = 3 + Number of obs | 3946 1835 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 15.59014 26.3136 .5924746 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(57,093 missing values generated) +(60,760 missing values generated) +(3,667 real changes made) +reg var_cosp_dwnom1_spons sponsor_female i.v2 MV1_female femaleXMV1_female i.minor house_* [aw=wt] if sponsor_party==200 & tag_bill==1 & sample==1 & abs(MV1_female) +> <=15.59013800750669, robust cluster(group_sponsor) +(sum of wgt is 2,601.25117123127) +note: house_dc omitted because of collinearity + +Linear regression Number of obs = 1,480 + F(118, 119) = . + Prob > F = . + R-squared = 0.2904 + Root MSE = 96.843 + + (Std. Err. adjusted for 120 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + var_cosp_dwnom1_spons | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -16.18893 13.98292 -1.16 0.249 -43.87652 11.49865 + | + v2 | + 103 | 9.859659 12.48779 0.79 0.431 -14.86741 34.58673 + 104 | 5.578571 17.30535 0.32 0.748 -28.68775 39.84489 + 105 | 18.60209 14.54759 1.28 0.203 -10.20359 47.40777 + 106 | 36.84814 16.04177 2.30 0.023 5.083832 68.61244 + 107 | 54.26249 13.12147 4.14 0.000 28.28066 80.24431 + 108 | 83.108 20.2693 4.10 0.000 42.97276 123.2432 + 109 | 48.89271 15.49843 3.15 0.002 18.20427 79.58115 + 110 | 51.57621 17.4317 2.96 0.004 17.05971 86.09272 + 111 | 46.74542 23.60328 1.98 0.050 .0085821 93.48227 + | + MV1_female | -.372325 1.052869 -0.35 0.724 -2.457111 1.712461 + femaleXMV1_female | .9627379 1.793174 0.54 0.592 -2.587926 4.513402 + | + minor | + 101 | 48.73658 67.04543 0.73 0.469 -84.02007 181.4932 + 104 | 35.03455 74.69098 0.47 0.640 -112.8611 182.9301 + 105 | -24.85931 48.77882 -0.51 0.611 -121.4462 71.72763 + 107 | 10.11202 41.74699 0.24 0.809 -72.55119 92.77522 + 108 | -36.03938 47.13721 -0.76 0.446 -129.3758 57.29701 + 200 | -1.096845 48.52148 -0.02 0.982 -97.17422 94.98053 + 202 | 84.00388 49.09027 1.71 0.090 -13.19974 181.2075 + 204 | -21.92067 54.59398 -0.40 0.689 -130.0222 86.18086 + 205 | -73.36316 45.30074 -1.62 0.108 -163.0632 16.33684 + 206 | -38.16396 51.86673 -0.74 0.463 -140.8653 64.53734 + 207 | 10.82959 48.60672 0.22 0.824 -85.41658 107.0758 + 208 | 54.77368 51.23093 1.07 0.287 -46.66868 156.216 + 209 | -55.70052 48.04876 -1.16 0.249 -150.8419 39.44082 + 300 | 75.34974 65.38603 1.15 0.251 -54.12113 204.8206 + 301 | 9.534125 50.73599 0.19 0.851 -90.92821 109.9965 + 302 | 64.59967 41.52973 1.56 0.122 -17.63336 146.8327 + 321 | -6.794863 51.89016 -0.13 0.896 -109.5426 95.95285 + 322 | 15.0754 53.60217 0.28 0.779 -91.06224 121.2131 + 323 | 39.29105 63.82839 0.62 0.539 -87.09555 165.6776 + 324 | 16.06167 57.5675 0.28 0.781 -97.92772 130.0511 + 325 | 80.15249 51.31078 1.56 0.121 -21.44797 181.753 + 331 | 94.5558 46.51781 2.03 0.044 2.445884 186.6657 + 332 | 88.82067 46.986 1.89 0.061 -4.2163 181.8576 + 333 | 120.2909 51.34122 2.34 0.021 18.63021 221.9517 + 334 | 54.66405 62.22866 0.88 0.381 -68.55492 177.883 + 335 | -33.49673 52.14825 -0.64 0.522 -136.7555 69.76202 + 336 | 106.2391 56.18183 1.89 0.061 -5.006566 217.4847 + 341 | 51.62493 71.87082 0.72 0.474 -90.68647 193.9363 + 343 | 71.76995 60.79205 1.18 0.240 -48.60439 192.1443 + 398 | 75.46889 48.56878 1.55 0.123 -20.70215 171.6399 + 399 | 82.69316 51.40568 1.61 0.110 -19.09523 184.4815 + 400 | 19.42212 61.60536 0.32 0.753 -102.5627 141.4069 + 401 | 74.63359 66.89768 1.12 0.267 -57.83049 207.0977 + 402 | .7973895 61.97547 0.01 0.990 -121.9202 123.515 + 403 | 78.2236 80.20063 0.98 0.331 -80.58166 237.0289 + 499 | 59.84678 63.36666 0.94 0.347 -65.62553 185.3191 + 500 | 40.58723 46.32031 0.88 0.383 -51.1316 132.3061 + 502 | -36.9782 47.08176 -0.79 0.434 -130.2048 56.24838 + 503 | 56.91857 53.47461 1.06 0.289 -48.96649 162.8036 + 505 | -32.38358 52.14845 -0.62 0.536 -135.6427 70.87555 + 506 | -32.62985 46.51078 -0.70 0.484 -124.7258 59.46615 + 508 | 104.5195 49.14189 2.13 0.035 7.21361 201.8253 + 530 | 41.69819 45.82569 0.91 0.365 -49.04126 132.4376 + 599 | 210.7518 50.88589 4.14 0.000 109.9927 311.511 + 600 | -40.44501 46.5631 -0.87 0.387 -132.6446 51.75458 + 601 | 29.56415 55.77528 0.53 0.597 -80.87647 140.0048 + 602 | -7.199451 43.77057 -0.16 0.870 -93.86955 79.47065 + 603 | 15.64438 59.21088 0.26 0.792 -101.5991 132.8878 + 604 | -28.09591 46.62909 -0.60 0.548 -120.4262 64.23435 + 606 | 1.166918 58.57986 0.02 0.984 -114.8271 117.1609 + 607 | 87.07674 61.31446 1.42 0.158 -34.33201 208.4855 + 609 | 27.88328 57.07887 0.49 0.626 -85.13858 140.9051 + 699 | -58.1105 46.33563 -1.25 0.212 -149.8597 33.63867 + 700 | -32.0729 42.66369 -0.75 0.454 -116.5513 52.40547 + 701 | 20.18428 72.91605 0.28 0.782 -124.1968 164.5653 + 703 | 201.9015 54.11116 3.73 0.000 94.756 309.047 + 704 | 12.3851 51.26755 0.24 0.810 -89.12977 113.9 + 705 | 42.42406 52.13338 0.81 0.417 -60.80523 145.6534 + 707 | -14.16795 45.76774 -0.31 0.757 -104.7927 76.45675 + 709 | 28.64509 41.37425 0.69 0.490 -53.28006 110.5702 + 710 | 163.0963 78.39284 2.08 0.040 7.870669 318.322 + 711 | 13.79341 121.1555 0.11 0.910 -226.1066 253.6934 + 798 | 87.02839 47.16951 1.85 0.068 -6.371955 180.4287 + 800 | 98.22362 49.29255 1.99 0.049 .6194559 195.8278 + 801 | 193.9946 114.6971 1.69 0.093 -33.11722 421.1064 + 802 | -43.98117 52.46634 -0.84 0.404 -147.8698 59.90742 + 803 | 13.85269 49.20459 0.28 0.779 -83.57733 111.2827 + 805 | -39.27661 49.57193 -0.79 0.430 -137.434 58.88076 + 806 | 6.737081 39.7071 0.17 0.866 -71.88693 85.3611 + 807 | -33.71275 58.01888 -0.58 0.562 -148.5959 81.17043 + 1000 | 325.5176 47.95185 6.79 0.000 230.5682 420.4671 + 1001 | -12.07918 63.41214 -0.19 0.849 -137.6415 113.4832 + 1002 | -43.36959 54.15731 -0.80 0.425 -150.6065 63.8673 + 1003 | 29.83041 51.79385 0.58 0.566 -72.72659 132.3874 + 1005 | 106.5224 61.66717 1.73 0.087 -15.58479 228.6295 + 1006 | 81.77893 50.21076 1.63 0.106 -17.64338 181.2012 + 1007 | 15.34051 50.93823 0.30 0.764 -85.52228 116.2033 + 1010 | -22.81132 62.8596 -0.36 0.717 -147.2796 101.657 + 1201 | 117.9705 60.84323 1.94 0.055 -2.505185 238.4462 + 1202 | 18.33282 58.91803 0.31 0.756 -98.33075 134.9964 + 1203 | 50.98247 76.20378 0.67 0.505 -99.90864 201.8736 + 1204 | 101.424 53.18648 1.91 0.059 -3.890563 206.7385 + 1205 | 162.2779 59.60357 2.72 0.007 44.25693 280.299 + 1206 | 40.94801 62.30531 0.66 0.512 -82.42273 164.3187 + 1207 | 48.32847 46.61191 1.04 0.302 -43.96777 140.6247 + 1208 | 80.84534 46.62622 1.73 0.086 -11.47923 173.1699 + 1209 | 94.79799 50.38816 1.88 0.062 -4.975589 194.5716 + 1210 | 76.69405 64.34445 1.19 0.236 -50.71439 204.1025 + 1211 | 30.17378 47.15595 0.64 0.523 -63.1997 123.5473 + 1299 | 215.7995 46.34918 4.66 0.000 124.0234 307.5755 + 1300 | -52.32904 49.85611 -1.05 0.296 -151.0491 46.39104 + 1302 | 47.54627 47.99161 0.99 0.324 -47.4819 142.5744 + 1303 | 38.03146 51.10215 0.74 0.458 -63.15589 139.2188 + 1304 | 77.13678 39.56992 1.95 0.054 -1.21562 155.4892 + 1399 | -44.36927 43.10368 -1.03 0.305 -129.7189 40.98032 + 1400 | 82.58347 49.35243 1.67 0.097 -15.13926 180.3062 + 1401 | -20.4262 69.163 -0.30 0.768 -157.3759 116.5235 + 1404 | 161.2911 48.91888 3.30 0.001 64.42682 258.1554 + 1405 | 76.94418 44.44998 1.73 0.086 -11.07123 164.9596 + 1406 | 35.46417 68.36984 0.52 0.605 -99.91495 170.8433 + 1407 | 13.28705 68.64171 0.19 0.847 -122.6304 149.2045 + 1409 | 134.0526 65.77529 2.04 0.044 3.810995 264.2943 + 1410 | 99.34051 40.63395 2.44 0.016 18.88122 179.7998 + 1499 | -27.31549 40.94043 -0.67 0.506 -108.3816 53.75066 + 1500 | 26.58865 54.81592 0.49 0.629 -81.95234 135.1296 + 1501 | 160.3496 43.19712 3.71 0.000 74.81502 245.8842 + 1502 | 36.37938 55.58406 0.65 0.514 -73.68261 146.4414 + 1504 | 50.41411 76.25065 0.66 0.510 -100.5698 201.398 + 1505 | 78.71581 49.36694 1.59 0.113 -19.03566 176.4673 + 1507 | 46.38628 46.28781 1.00 0.318 -45.26821 138.0408 + 1520 | 14.47883 62.30033 0.23 0.817 -108.8821 137.8397 + 1521 | 2.948934 50.6025 0.06 0.954 -97.24908 103.1469 + 1523 | 33.63453 55.87309 0.60 0.548 -76.99977 144.2688 + 1524 | 109.8491 52.54104 2.09 0.039 5.812559 213.8856 + 1525 | 73.87353 64.03378 1.15 0.251 -52.91975 200.6668 + 1526 | 117.3622 84.58712 1.39 0.168 -50.12876 284.8531 + 1599 | 68.04006 84.03913 0.81 0.420 -98.36581 234.4459 + 1600 | -.6977502 79.77301 -0.01 0.993 -158.6563 157.2608 + 1603 | -191.5247 53.96777 -3.55 0.001 -298.3863 -84.66313 + 1604 | 11.25406 49.28074 0.23 0.820 -86.32673 108.8349 + 1605 | 31.72604 51.34482 0.62 0.538 -69.94184 133.3939 + 1608 | 43.28965 57.01219 0.76 0.449 -69.60018 156.1795 + 1609 | 57.99713 54.40172 1.07 0.289 -49.72371 165.718 + 1610 | -86.1772 60.69684 -1.42 0.158 -206.363 34.00861 + 1611 | -99.26228 63.70626 -1.56 0.122 -225.407 26.88247 + 1612 | -24.89046 81.04699 -0.31 0.759 -185.3716 135.5907 + 1614 | -66.61875 44.81507 -1.49 0.140 -155.3571 22.11956 + 1615 | -25.58806 61.22707 -0.42 0.677 -146.8238 95.64764 + 1616 | 21.89196 51.2687 0.43 0.670 -79.62518 123.4091 + 1617 | 135.2365 58.11878 2.33 0.022 20.15554 250.3175 + 1619 | 5.031523 50.85532 0.10 0.921 -95.6671 105.7301 + 1698 | 48.30545 48.03899 1.01 0.317 -46.81655 143.4275 + 1699 | -4.185703 57.17219 -0.07 0.942 -117.3924 109.021 + 1700 | -33.70339 66.93133 -0.50 0.616 -166.2341 98.82733 + 1701 | 59.65511 115.7554 0.52 0.607 -169.5521 288.8623 + 1704 | 105.0777 58.7263 1.79 0.076 -11.20622 221.3617 + 1706 | 35.57684 61.96984 0.57 0.567 -87.12964 158.2833 + 1707 | 19.86584 61.16223 0.32 0.746 -101.2415 140.9732 + 1708 | -28.84824 40.29323 -0.72 0.475 -108.6329 50.93639 + 1709 | 115.8387 54.38022 2.13 0.035 8.160423 223.5169 + 1798 | 49.42181 72.99675 0.68 0.500 -95.11905 193.9627 + 1799 | -6.194484 47.48094 -0.13 0.896 -100.2115 87.82251 + 1800 | 126.4837 61.77551 2.05 0.043 4.162039 248.8054 + 1802 | 49.51669 75.6585 0.65 0.514 -100.2947 199.3281 + 1803 | -47.88739 50.05571 -0.96 0.341 -147.0027 51.22791 + 1804 | 105.2725 163.9407 0.64 0.522 -219.3465 429.8914 + 1806 | 104.0852 51.56543 2.02 0.046 1.980466 206.1899 + 1807 | -39.31336 48.92217 -0.80 0.423 -136.1842 57.55743 + 1808 | -46.52084 43.38111 -1.07 0.286 -132.4198 39.37809 + 1900 | 18.27079 49.14403 0.37 0.711 -79.03931 115.5809 + 1901 | 83.44759 68.41111 1.22 0.225 -52.01325 218.9084 + 1902 | 125.0063 54.88337 2.28 0.025 16.33174 233.6808 + 1905 | 283.1528 52.98368 5.34 0.000 178.2399 388.0658 + 1906 | 71.91636 57.65923 1.25 0.215 -42.25467 186.0874 + 1907 | 49.07664 54.63697 0.90 0.371 -59.11003 157.2633 + 1909 | 111.6115 48.58329 2.30 0.023 15.41178 207.8113 + 1910 | 70.93501 53.40342 1.33 0.187 -34.80909 176.6791 + 1914 | -7.667127 52.98368 -0.14 0.885 -112.5801 97.24586 + 1915 | -50.00782 58.37056 -0.86 0.393 -165.5874 65.57172 + 1919 | 124.3628 76.30224 1.63 0.106 -26.72325 275.4488 + 1925 | 106.2248 61.85492 1.72 0.089 -16.25417 228.7037 + 1926 | 8.64143 48.7012 0.18 0.859 -87.79181 105.0747 + 1927 | 81.15743 58.71861 1.38 0.170 -35.11128 197.4261 + 1929 | 112.1794 104.0531 1.08 0.283 -93.85601 318.2149 + 2000 | 5.44103 40.6249 0.13 0.894 -75.00033 85.88239 + 2001 | 215.5703 79.01599 2.73 0.007 59.11073 372.0298 + 2002 | 38.02743 44.32296 0.86 0.393 -49.73646 125.7913 + 2003 | 142.0354 54.45622 2.61 0.010 34.20668 249.8642 + 2004 | 86.57434 48.11786 1.80 0.075 -8.703835 181.8525 + 2005 | -39.65239 58.70471 -0.68 0.501 -155.8936 76.58879 + 2006 | 136.0174 64.57602 2.11 0.037 8.150435 263.8844 + 2007 | -47.54658 49.34259 -0.96 0.337 -145.2498 50.15667 + 2008 | 48.29239 53.65533 0.90 0.370 -57.95053 154.5353 + 2009 | 21.45669 47.79225 0.45 0.654 -73.17674 116.0901 + 2011 | 21.05809 51.49358 0.41 0.683 -80.90435 123.0205 + 2012 | -2.483124 45.59424 -0.05 0.957 -92.76427 87.79802 + 2013 | 64.13888 73.36983 0.87 0.384 -81.14071 209.4185 + 2014 | 24.00512 46.81521 0.51 0.609 -68.69366 116.7039 + 2015 | 11.02137 43.65802 0.25 0.801 -75.42587 97.46862 + 2100 | 54.20041 62.11771 0.87 0.385 -68.79885 177.1997 + 2101 | 14.37087 47.95992 0.30 0.765 -80.59455 109.3363 + 2102 | 46.49907 65.09374 0.71 0.476 -82.39303 175.3912 + 2103 | -29.12988 54.23081 -0.54 0.592 -136.5123 78.25254 + 2104 | 6.639021 55.49627 0.12 0.905 -103.2491 116.5272 + 2105 | -11.82958 71.96875 -0.16 0.870 -154.3349 130.6757 + 9999 | 171.1201 43.09223 3.97 0.000 85.79323 256.4471 + | + house_administration | 5.020247 16.7117 0.30 0.764 -28.07058 38.11107 + house_agriculture | 33.47377 24.33785 1.38 0.172 -14.71761 81.66515 + house_appropriations | -36.57266 19.5303 -1.87 0.064 -75.24461 2.099287 + house_armedservices | 36.38255 26.22679 1.39 0.168 -15.54911 88.31421 + house_budget | 4.472248 35.57079 0.13 0.900 -65.96146 74.90596 + house_dc | 0 (omitted) + house_educlabor | 1.146037 10.3046 0.11 0.912 -19.25809 21.55017 + house_energycommerce | 8.734822 12.3209 0.71 0.480 -15.6618 33.13144 + house_foreignaffairs | -29.38102 28.70711 -1.02 0.308 -86.22397 27.46193 + house_governmentop | -90.14851 25.00906 -3.60 0.000 -139.6689 -40.62807 + house_intelligence | 186.869 31.78223 5.88 0.000 123.937 249.8009 + house_interior | 54.98363 22.83502 2.41 0.018 9.768002 100.1993 + house_judiciary | -10.95673 9.07855 -1.21 0.230 -28.93317 7.019706 + house_mmf | -9.237865 23.19541 -0.40 0.691 -55.16709 36.69136 + house_pocs | -7.45456 26.57932 -0.28 0.780 -60.08427 45.17515 + house_pwt | 33.7764 20.94511 1.61 0.109 -7.697016 75.24982 + house_rules | 11.41323 21.01865 0.54 0.588 -30.2058 53.03225 + house_sst | 57.424 43.07019 1.33 0.185 -27.85928 142.7073 + house_smallbusi | -22.52208 36.82971 -0.61 0.542 -95.44859 50.40443 + house_soc | -40.36518 32.21959 -1.25 0.213 -104.1632 23.43281 + house_veterans | 18.85657 22.47489 0.84 0.403 -25.64596 63.35909 + house_waysandmeans | 4.555568 7.989247 0.57 0.570 -11.26394 20.37508 +house_naturalresources | 94.10276 32.50811 2.89 0.005 29.73345 158.4721 + house_bfs | -28.6575 21.2681 -1.35 0.180 -70.77045 13.45545 + house_eeo | 44.10842 32.67724 1.35 0.180 -20.59579 108.8126 + house_govreform | -38.92467 13.44212 -2.90 0.005 -65.54141 -12.30793 + house_ir | -19.65162 33.05834 -0.59 0.553 -85.11045 45.8072 + house_natsecur | 81.50623 46.6697 1.75 0.083 -10.90443 173.9169 + house_oversight | 42.46802 19.5368 2.17 0.032 3.783211 81.15284 + house_resources | 17.67346 17.70006 1.00 0.320 -17.37443 52.72135 + house_science | -70.85241 27.38299 -2.59 0.011 -125.0735 -16.63136 + house_transp | 1.483502 21.03694 0.07 0.944 -40.17174 43.13875 + house_homeland | 10.50873 33.04059 0.32 0.751 -54.91494 75.9324 + _cons | 17.00988 49.88317 0.34 0.734 -81.76379 115.7835 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 119 1 0 1 1 + + +j = 4 k = 1 + + +rdbwselect_2014 var_cosp_dwnom1_spons MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11931 +----------------------+---------------------- NN matches = 3 + Number of obs | 6120 5811 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 12.8116 24.00331 .5337432 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(6,677 missing values generated) +(54,574 missing values generated) +(47,897 real changes made) +reg var_cosp_dwnom1_spons sponsor_female i.v2 i.minor house_* [aw=wt] if tag_bill==1, robust cluster(group_sponsor) +(sum of wgt is 118,770.792565227) + +Linear regression Number of obs = 55,474 + F(268, 4401) = . + Prob > F = . + R-squared = 0.0994 + Root MSE = 102.32 + + (Std. Err. adjusted for 4,402 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + var_cosp_dwnom1_spons | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -7.969478 2.136957 -3.73 0.000 -12.15899 -3.779967 + | + v2 | + 102 | -.4313733 3.160268 -0.14 0.891 -6.627088 5.764341 + 103 | -1.520259 3.054966 -0.50 0.619 -7.509531 4.469012 + 104 | 10.78719 4.986437 2.16 0.031 1.011264 20.56311 + 105 | 18.63732 4.351429 4.28 0.000 10.10633 27.16831 + 106 | 33.40649 5.418677 6.17 0.000 22.78316 44.02983 + 107 | 39.08437 5.283724 7.40 0.000 28.72561 49.44313 + 108 | 40.2479 4.589436 8.77 0.000 31.25029 49.2455 + 109 | 45.38728 4.665911 9.73 0.000 36.23974 54.53481 + 110 | 40.16218 4.398632 9.13 0.000 31.53865 48.78571 + 111 | 35.61619 4.873499 7.31 0.000 26.06168 45.1707 + | + minor | + 101 | 37.08361 21.90871 1.69 0.091 -5.86849 80.0357 + 103 | -18.62224 22.78934 -0.82 0.414 -63.30082 26.05634 + 104 | 23.77083 24.05772 0.99 0.323 -23.3944 70.93606 + 105 | 1.81213 11.64387 0.16 0.876 -21.01571 24.63997 + 107 | 21.49539 10.75672 2.00 0.046 .4068073 42.58396 + 108 | 32.04473 19.97986 1.60 0.109 -7.12584 71.2153 + 110 | -51.41497 13.49563 -3.81 0.000 -77.8732 -24.95674 + 200 | 20.20552 12.71896 1.59 0.112 -4.730047 45.14109 + 201 | -32.32972 11.12003 -2.91 0.004 -54.13056 -10.52887 + 202 | -5.339926 12.20131 -0.44 0.662 -29.26064 18.58079 + 204 | 20.80262 18.98674 1.10 0.273 -16.42095 58.02618 + 205 | 50.70776 20.3717 2.49 0.013 10.76897 90.64655 + 206 | -27.58146 12.96535 -2.13 0.033 -53.00007 -2.162845 + 207 | 15.16542 11.45789 1.32 0.186 -7.2978 37.62865 + 208 | 23.34245 12.18955 1.91 0.056 -.5552114 47.24011 + 209 | -45.35564 17.57738 -2.58 0.010 -79.81615 -10.89513 + 299 | 35.66587 22.12319 1.61 0.107 -7.70672 79.03846 + 300 | 41.67322 18.66083 2.23 0.026 5.088612 78.25783 + 301 | 22.69684 12.74257 1.78 0.075 -2.285017 47.6787 + 302 | 35.70564 11.85935 3.01 0.003 12.45534 58.95594 + 321 | 65.1264 14.03423 4.64 0.000 37.61224 92.64056 + 322 | 42.01256 13.25945 3.17 0.002 16.01736 68.00776 + 323 | 42.38519 12.70894 3.34 0.001 17.46927 67.30111 + 324 | 17.18995 14.22623 1.21 0.227 -10.70061 45.08052 + 325 | 36.21499 13.11681 2.76 0.006 10.49943 61.93054 + 331 | 60.88135 11.7231 5.19 0.000 37.89819 83.86452 + 332 | 34.2907 11.62141 2.95 0.003 11.50688 57.07452 + 333 | 37.69013 14.97399 2.52 0.012 8.333573 67.0467 + 334 | 59.27045 13.14594 4.51 0.000 33.49779 85.04312 + 335 | 8.117056 14.39476 0.56 0.573 -20.10391 36.33802 + 336 | 51.90063 12.72705 4.08 0.000 26.94922 76.85205 + 341 | 21.94694 11.90156 1.84 0.065 -1.386101 45.27998 + 342 | 38.72903 21.61082 1.79 0.073 -3.639054 81.09711 + 343 | 48.62759 17.42529 2.79 0.005 14.46525 82.78993 + 344 | 25.47675 17.25237 1.48 0.140 -8.34658 59.30008 + 398 | 48.13307 14.76539 3.26 0.001 19.18548 77.08065 + 399 | 20.30257 18.78206 1.08 0.280 -16.51971 57.12486 + 400 | 8.300796 16.04217 0.52 0.605 -23.14992 39.75151 + 401 | 52.0023 24.82027 2.10 0.036 3.342076 100.6625 + 402 | 39.45327 13.48521 2.93 0.003 13.01547 65.89108 + 403 | 4.120887 13.71845 0.30 0.764 -22.77418 31.01596 + 404 | 67.72009 16.10915 4.20 0.000 36.13805 99.30212 + 405 | 36.23504 17.53975 2.07 0.039 1.848312 70.62177 + 498 | 35.07399 19.12004 1.83 0.067 -2.410898 72.55888 + 499 | 24.18384 23.89555 1.01 0.312 -22.66346 71.03113 + 500 | 7.261339 13.84644 0.52 0.600 -19.88465 34.40733 + 501 | -.1591913 12.55815 -0.01 0.990 -24.77949 24.46111 + 502 | 26.4378 12.71205 2.08 0.038 1.515793 51.35981 + 503 | 14.5563 10.94826 1.33 0.184 -6.907798 36.0204 + 504 | 5.088356 16.26421 0.31 0.754 -26.79768 36.97439 + 505 | -10.52136 10.5251 -1.00 0.318 -31.15585 10.11313 + 506 | 12.86727 14.37006 0.90 0.371 -15.30528 41.03983 + 508 | 19.12963 13.95449 1.37 0.170 -8.228191 46.48745 + 529 | 46.07507 12.57473 3.66 0.000 21.42227 70.72788 + 530 | 16.17124 11.65348 1.39 0.165 -6.675446 39.01792 + 599 | 12.83211 19.61513 0.65 0.513 -25.62341 51.28763 + 600 | 16.12989 14.70749 1.10 0.273 -12.7042 44.96397 + 601 | 37.43621 11.31685 3.31 0.001 15.24949 59.62293 + 602 | 23.11212 10.3702 2.23 0.026 2.78131 43.44293 + 603 | 28.03957 13.92624 2.01 0.044 .7371307 55.34202 + 604 | 28.58363 18.09795 1.58 0.114 -6.897464 64.06471 + 606 | 23.45555 15.71149 1.49 0.136 -7.346875 54.25797 + 607 | 37.61099 11.93392 3.15 0.002 14.21451 61.00747 + 609 | 31.1011 16.79287 1.85 0.064 -1.821368 64.02358 + 698 | 37.66282 34.93987 1.08 0.281 -30.83691 106.1625 + 699 | 26.49892 25.11025 1.06 0.291 -22.7298 75.72764 + 700 | 19.42702 14.60932 1.33 0.184 -9.214591 48.06863 + 701 | 30.22648 13.13027 2.30 0.021 4.484548 55.9684 + 703 | 41.80314 14.34902 2.91 0.004 13.67184 69.93444 + 704 | 21.4065 11.60586 1.84 0.065 -1.346831 44.15983 + 705 | 8.628321 12.31924 0.70 0.484 -15.52359 32.78023 + 707 | 25.57688 17.87397 1.43 0.153 -9.465099 60.61887 + 708 | 1.687924 14.19224 0.12 0.905 -26.13601 29.51186 + 709 | 17.03911 12.09502 1.41 0.159 -6.673215 40.75143 + 710 | 35.6278 13.86131 2.57 0.010 8.452658 62.80295 + 711 | 26.27793 14.64093 1.79 0.073 -2.425667 54.98153 + 798 | 28.29483 14.9949 1.89 0.059 -1.102705 57.69237 + 799 | 81.05242 25.88382 3.13 0.002 30.3071 131.7977 + 800 | 4.626441 13.11417 0.35 0.724 -21.08393 30.33681 + 801 | 45.39309 18.30254 2.48 0.013 9.5109 81.27528 + 802 | 41.61404 17.7917 2.34 0.019 6.733352 76.49472 + 803 | 2.04674 11.84398 0.17 0.863 -21.17341 25.26689 + 805 | -32.78115 15.33832 -2.14 0.033 -62.85197 -2.710325 + 806 | 58.08576 16.44357 3.53 0.000 25.84809 90.32343 + 807 | 50.48694 15.0512 3.35 0.001 20.97901 79.99487 + 898 | 12.45664 19.98796 0.62 0.533 -26.72982 51.64309 + 899 | -32.20974 18.82153 -1.71 0.087 -69.10941 4.689932 + 1000 | 46.02038 21.34341 2.16 0.031 4.176554 87.86421 + 1001 | 39.24829 14.90315 2.63 0.008 10.03062 68.46596 + 1002 | 37.70239 15.12762 2.49 0.013 8.044641 67.36014 + 1003 | 33.0219 13.29005 2.48 0.013 6.966713 59.07709 + 1005 | 31.66403 16.79451 1.89 0.059 -1.26167 64.58972 + 1006 | 48.97399 14.241 3.44 0.001 21.05446 76.89352 + 1007 | 24.83572 11.85033 2.10 0.036 1.6031 48.06833 + 1010 | -20.19915 13.1805 -1.53 0.125 -46.03956 5.641258 + 1098 | 2.101416 21.33667 0.10 0.922 -39.72919 43.93202 + 1099 | 35.46279 39.93472 0.89 0.375 -42.82935 113.7549 + 1200 | 27.11763 22.64879 1.20 0.231 -17.28539 71.52066 + 1201 | 53.90576 16.84577 3.20 0.001 20.87958 86.93193 + 1202 | 52.65219 19.93476 2.64 0.008 13.57003 91.73435 + 1203 | 35.32845 13.30746 2.65 0.008 9.239139 61.41776 + 1204 | 40.41584 12.57157 3.21 0.001 15.76924 65.06244 + 1205 | 28.88811 15.7391 1.84 0.067 -1.968456 59.74467 + 1206 | 80.55889 28.59179 2.82 0.005 24.5046 136.6132 + 1207 | 49.80856 15.36062 3.24 0.001 19.69402 79.92311 + 1208 | 44.97201 10.65512 4.22 0.000 24.08262 65.8614 + 1209 | 13.27274 11.34685 1.17 0.242 -8.972798 35.51827 + 1210 | 23.29956 13.08223 1.78 0.075 -2.34819 48.94731 + 1211 | 29.04593 21.15241 1.37 0.170 -12.42343 70.5153 + 1299 | 60.27869 42.69197 1.41 0.158 -23.41905 143.9764 + 1300 | 7.384373 12.31344 0.60 0.549 -16.75616 31.5249 + 1301 | 31.07248 16.92361 1.84 0.066 -2.106319 64.25128 + 1302 | 6.531296 15.52751 0.42 0.674 -23.91044 36.97303 + 1303 | 17.62563 12.25245 1.44 0.150 -6.395329 41.64659 + 1304 | 29.5464 12.52408 2.36 0.018 4.992905 54.0999 + 1305 | 25.10048 16.61014 1.51 0.131 -7.463755 57.66471 + 1399 | -.5545696 29.61624 -0.02 0.985 -58.61731 57.50817 + 1400 | 23.50271 15.58971 1.51 0.132 -7.060968 54.06638 + 1401 | 21.06762 13.74004 1.53 0.125 -5.869766 48.00501 + 1403 | 31.0747 15.18644 2.05 0.041 1.301636 60.84777 + 1404 | -.4299957 14.55824 -0.03 0.976 -28.97147 28.11147 + 1405 | 61.02981 29.47059 2.07 0.038 3.252624 118.807 + 1406 | 14.68312 13.5955 1.08 0.280 -11.97091 41.33715 + 1407 | 49.033 23.58673 2.08 0.038 2.791143 95.27486 + 1408 | 21.42951 16.38441 1.31 0.191 -10.69217 53.55119 + 1409 | 45.27036 19.96697 2.27 0.023 6.125043 84.41567 + 1410 | 45.83917 17.34017 2.64 0.008 11.84372 79.83462 + 1499 | 1.965853 21.02565 0.09 0.926 -39.255 43.18671 + 1500 | 12.97814 18.69985 0.69 0.488 -23.68298 49.63925 + 1501 | 50.10969 13.14262 3.81 0.000 24.34353 75.87584 + 1502 | 27.88364 12.23828 2.28 0.023 3.89045 51.87683 + 1504 | 20.79629 15.25519 1.36 0.173 -9.111549 50.70413 + 1505 | 67.43182 19.55635 3.45 0.001 29.09154 105.7721 + 1507 | 44.71861 25.34085 1.76 0.078 -4.962201 94.39943 + 1520 | 12.63358 14.24638 0.89 0.375 -15.2965 40.56365 + 1521 | 44.37395 13.57792 3.27 0.001 17.75439 70.99351 + 1522 | 129.3918 16.26005 7.96 0.000 97.51394 161.2697 + 1523 | 24.69012 12.80014 1.93 0.054 -.4045856 49.78483 + 1524 | 48.95479 21.92071 2.23 0.026 5.979163 91.93042 + 1525 | 29.25269 14.63027 2.00 0.046 .5699971 57.93537 + 1526 | 66.23926 16.61204 3.99 0.000 33.6713 98.80723 + 1599 | 51.79124 17.43738 2.97 0.003 17.60521 85.97727 + 1600 | 59.98328 26.6568 2.25 0.024 7.722544 112.244 + 1602 | 10.77604 16.96468 0.64 0.525 -22.48327 44.03535 + 1603 | -13.75754 19.67197 -0.70 0.484 -52.3245 24.80942 + 1604 | 34.31335 21.84807 1.57 0.116 -8.519855 77.14656 + 1605 | 22.40432 13.58401 1.65 0.099 -4.227187 49.03582 + 1606 | 19.53654 18.30586 1.07 0.286 -16.35215 55.42523 + 1608 | 37.83248 11.95527 3.16 0.002 14.39414 61.27083 + 1609 | 32.57176 12.99313 2.51 0.012 7.098685 58.04484 + 1610 | 25.91419 14.04638 1.84 0.065 -1.62379 53.45216 + 1611 | 37.62229 20.21883 1.86 0.063 -2.016781 77.26137 + 1612 | 72.33042 28.58664 2.53 0.011 16.28623 128.3746 + 1614 | -11.90167 17.06546 -0.70 0.486 -45.35857 21.55522 + 1615 | 10.37925 14.60399 0.71 0.477 -18.25192 39.01042 + 1616 | 15.37847 15.99486 0.96 0.336 -15.9795 46.73644 + 1617 | -2.760677 14.26745 -0.19 0.847 -30.73206 25.21071 + 1619 | -6.818833 17.66879 -0.39 0.700 -41.45856 27.82089 + 1620 | 43.24935 24.5325 1.76 0.078 -4.846697 91.34539 + 1698 | 41.03803 16.85874 2.43 0.015 7.986418 74.08964 + 1699 | 48.14604 15.10331 3.19 0.001 18.53595 77.75613 + 1700 | 57.05128 21.87181 2.61 0.009 14.17152 99.93104 + 1701 | 85.3907 25.82944 3.31 0.001 34.75201 136.0294 + 1704 | 104.8099 23.84874 4.39 0.000 58.05434 151.5654 + 1705 | 38.69352 29.12796 1.33 0.184 -18.41194 95.79899 + 1706 | 50.32378 15.03907 3.35 0.001 20.83964 79.80793 + 1707 | 43.27609 16.35043 2.65 0.008 11.22101 75.33116 + 1708 | 57.22809 23.47393 2.44 0.015 11.20738 103.2488 + 1709 | 85.93178 14.69019 5.85 0.000 57.13161 114.732 + 1798 | 70.45825 17.09443 4.12 0.000 36.94457 103.9719 + 1799 | 35.00415 34.37266 1.02 0.309 -32.38356 102.3919 + 1800 | 30.89521 15.7256 1.96 0.050 .0651223 61.72529 + 1802 | 45.75448 14.25377 3.21 0.001 17.80992 73.69904 + 1803 | 47.82394 15.17841 3.15 0.002 18.06661 77.58126 + 1804 | 71.71757 26.59058 2.70 0.007 19.58665 123.8485 + 1806 | 37.58136 16.49713 2.28 0.023 5.238689 69.92403 + 1807 | -35.85585 10.98456 -3.26 0.001 -57.39113 -14.32058 + 1808 | 87.71153 37.03988 2.37 0.018 15.09473 160.3283 + 1899 | -11.51043 28.17551 -0.41 0.683 -66.7486 43.72775 + 1900 | 53.28319 23.26065 2.29 0.022 7.680608 98.88576 + 1901 | 37.03138 18.44686 2.01 0.045 .8662487 73.19651 + 1902 | 57.49589 14.06797 4.09 0.000 29.91559 85.07619 + 1905 | 7.27845 13.61801 0.53 0.593 -19.41971 33.97661 + 1906 | 61.40876 20.67642 2.97 0.003 20.87257 101.9449 + 1907 | 54.83327 38.4463 1.43 0.154 -20.54082 130.2074 + 1908 | 39.35899 19.58319 2.01 0.045 .9660723 77.7519 + 1909 | 65.97468 18.83368 3.50 0.000 29.0512 102.8982 + 1910 | 41.15448 16.21816 2.54 0.011 9.358733 72.95022 + 1911 | 58.04854 26.53161 2.19 0.029 6.033243 110.0638 + 1912 | -30.34724 14.21159 -2.14 0.033 -58.2091 -2.485374 + 1914 | 13.70641 14.7961 0.93 0.354 -15.30139 42.71421 + 1915 | 75.00186 25.89001 2.90 0.004 24.24442 125.7593 + 1919 | 99.8561 32.5098 3.07 0.002 36.12054 163.5917 + 1920 | 56.33266 17.98992 3.13 0.002 21.06336 91.60196 + 1925 | 43.16729 11.53683 3.74 0.000 20.5493 65.78528 + 1926 | -1.057682 10.89769 -0.10 0.923 -22.42263 20.30726 + 1927 | 17.77368 18.77712 0.95 0.344 -19.03893 54.58629 + 1929 | 42.00372 17.3811 2.42 0.016 7.928013 76.07943 + 1999 | 89.22006 67.16171 1.33 0.184 -42.45067 220.8908 + 2000 | 13.91429 14.1774 0.98 0.326 -13.88054 41.70913 + 2001 | 23.7181 22.02718 1.08 0.282 -19.46626 66.90246 + 2002 | 13.97676 12.92946 1.08 0.280 -11.37149 39.32502 + 2003 | 62.84647 14.7373 4.26 0.000 33.95396 91.73899 + 2004 | 43.05335 11.65823 3.69 0.000 20.19736 65.90934 + 2005 | 36.35753 29.03668 1.25 0.211 -20.56899 93.28404 + 2006 | 124.0338 16.48667 7.52 0.000 91.71168 156.356 + 2007 | 16.86727 14.18147 1.19 0.234 -10.93555 44.67008 + 2008 | 84.98745 11.51674 7.38 0.000 62.40884 107.5661 + 2009 | 15.08322 17.70743 0.85 0.394 -19.63225 49.79869 + 2010 | -47.2058 11.22797 -4.20 0.000 -69.21827 -25.19334 + 2011 | 15.92497 11.56898 1.38 0.169 -6.756059 38.60599 + 2012 | .7751405 11.52549 0.07 0.946 -21.82061 23.37089 + 2013 | 3.776132 16.77551 0.23 0.822 -29.11232 36.66458 + 2014 | 51.30605 17.04415 3.01 0.003 17.89094 84.72115 + 2015 | 48.65619 24.14531 2.02 0.044 1.319229 95.99315 + 2030 | 39.81558 22.71504 1.75 0.080 -4.717315 84.34848 + 2099 | 38.73015 18.98608 2.04 0.041 1.50787 75.95242 + 2100 | -9.649893 13.01646 -0.74 0.459 -35.1687 15.86892 + 2101 | 39.53758 12.42549 3.18 0.001 15.17737 63.89779 + 2102 | 39.60615 12.51907 3.16 0.002 15.06247 64.14983 + 2103 | 17.95699 12.3537 1.45 0.146 -6.262487 42.17646 + 2104 | 15.95162 12.36456 1.29 0.197 -8.289135 40.19237 + 2105 | 43.95304 25.35211 1.73 0.083 -5.74985 93.65592 + 2199 | -26.3179 31.7707 -0.83 0.408 -88.60445 35.96865 + 9999 | 10.71386 15.22596 0.70 0.482 -19.13668 40.56439 + | + house_administration | -5.027974 4.886595 -1.03 0.304 -14.60816 4.552211 + house_agriculture | 3.503426 5.320663 0.66 0.510 -6.927751 13.9346 + house_appropriations | -42.36354 7.97257 -5.31 0.000 -57.99379 -26.73329 + house_armedservices | -9.414913 4.488729 -2.10 0.036 -18.21508 -.6147462 + house_budget | .4129757 9.151682 0.05 0.964 -17.52893 18.35488 + house_dc | 7.904404 13.77122 0.57 0.566 -19.09413 34.90293 + house_educlabor | -18.92022 2.464493 -7.68 0.000 -23.75186 -14.08857 + house_energycommerce | -4.077651 2.383379 -1.71 0.087 -8.750274 .5949717 + house_foreignaffairs | 2.109746 7.944993 0.27 0.791 -13.46644 17.68593 + house_governmentop | 1.447462 5.301817 0.27 0.785 -8.946766 11.84169 + house_intelligence | 10.40067 11.79669 0.88 0.378 -12.72679 33.52812 + house_interior | -5.773158 5.927107 -0.97 0.330 -17.39327 5.846953 + house_judiciary | .9630477 2.907886 0.33 0.741 -4.737873 6.663968 + house_mmf | -1.692781 6.67512 -0.25 0.800 -14.77938 11.39381 + house_pocs | -6.55393 5.335996 -1.23 0.219 -17.01517 3.907308 + house_pwt | .3675348 5.830267 0.06 0.950 -11.06272 11.79779 + house_rules | -3.47988 6.068255 -0.57 0.566 -15.37671 8.416954 + house_sst | 12.49535 7.871499 1.59 0.112 -2.936745 27.92745 + house_smallbusi | -14.16298 9.743733 -1.45 0.146 -33.2656 4.93964 + house_soc | 8.754919 16.25588 0.54 0.590 -23.11479 40.62463 + house_veterans | 12.22029 6.406273 1.91 0.057 -.3392318 24.7798 + house_waysandmeans | 1.039857 2.228157 0.47 0.641 -3.328452 5.408165 +house_naturalresources | -.5712866 6.913551 -0.08 0.934 -14.12533 12.98275 + house_bfs | -2.647863 4.060029 -0.65 0.514 -10.60756 5.311836 + house_eeo | -14.43762 6.052673 -2.39 0.017 -26.3039 -2.571334 + house_govreform | -3.996959 3.946601 -1.01 0.311 -11.73428 3.740365 + house_ir | 5.894533 6.518877 0.90 0.366 -6.885746 18.67481 + house_natsecur | 2.021322 6.344108 0.32 0.750 -10.41632 14.45897 + house_oversight | 8.672124 5.982148 1.45 0.147 -3.055896 20.40014 + house_resources | -4.585822 5.236915 -0.88 0.381 -14.85281 5.681167 + house_science | -6.598061 5.790361 -1.14 0.255 -17.95008 4.753961 + house_transp | 2.160102 4.665801 0.46 0.643 -6.987216 11.30742 + house_homeland | -2.234354 8.738819 -0.26 0.798 -19.36684 14.89813 + _cons | 34.85805 10.80382 3.23 0.001 13.67713 56.03898 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,389 1 0 1 1 + + +j = 4 k = 2 + + +rdbwselect_2014 var_cosp_dwnom1_spons MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6150 +----------------------+---------------------- NN matches = 3 + Number of obs | 2174 3976 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 23.19646 41.38236 .5605399 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(6,677 missing values generated) +(54,574 missing values generated) +(47,897 real changes made) +reg var_cosp_dwnom1_spons sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==100 & tag_bill==1, robust cluster(group_sponsor) +(sum of wgt is 61,507.6103963852) + +Linear regression Number of obs = 29,442 + F(268, 2276) = . + Prob > F = . + R-squared = 0.0972 + Root MSE = 97.741 + + (Std. Err. adjusted for 2,277 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + var_cosp_dwnom1_spons | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -8.120083 2.664526 -3.05 0.002 -13.34524 -2.894929 + | + v2 | + 102 | -3.019293 3.83795 -0.79 0.432 -10.54554 4.506954 + 103 | .0636109 3.729242 0.02 0.986 -7.249458 7.37668 + 104 | -2.627534 5.980467 -0.44 0.660 -14.35527 9.100202 + 105 | 7.989677 6.253654 1.28 0.202 -4.27378 20.25313 + 106 | 12.08915 5.082131 2.38 0.017 2.123057 22.05524 + 107 | 19.13263 6.532012 2.93 0.003 6.323313 31.94195 + 108 | 15.46432 5.1655 2.99 0.003 5.334743 25.5939 + 109 | 15.75922 5.51562 2.86 0.004 4.943048 26.57538 + 110 | 48.05059 5.788909 8.30 0.000 36.6985 59.40269 + 111 | 38.48672 6.225778 6.18 0.000 26.27792 50.69551 + | + minor | + 101 | 2.924059 29.89331 0.10 0.922 -55.69693 61.54505 + 103 | -41.79658 19.17542 -2.18 0.029 -79.39972 -4.193444 + 104 | -3.758806 20.22629 -0.19 0.853 -43.4227 35.90509 + 105 | -8.426551 16.85103 -0.50 0.617 -41.47154 24.61844 + 107 | 7.148535 16.13456 0.44 0.658 -24.49145 38.78852 + 108 | 2.720309 20.70031 0.13 0.895 -37.87315 43.31377 + 110 | -63.75346 17.33526 -3.68 0.000 -97.74802 -29.75889 + 200 | -3.656848 17.15922 -0.21 0.831 -37.30619 29.9925 + 201 | -43.52377 15.92717 -2.73 0.006 -74.75706 -12.29048 + 202 | -23.60678 16.02892 -1.47 0.141 -55.0396 7.826038 + 204 | 19.26241 23.30605 0.83 0.409 -26.4409 64.96573 + 205 | 38.46364 26.75661 1.44 0.151 -14.00625 90.93353 + 206 | -49.5648 17.84328 -2.78 0.006 -84.55559 -14.57401 + 207 | 8.60902 17.41101 0.49 0.621 -25.53408 42.75212 + 208 | 5.873157 17.79136 0.33 0.741 -29.01581 40.76213 + 209 | -60.57572 25.34582 -2.39 0.017 -110.279 -10.8724 + 299 | -14.62878 42.72495 -0.34 0.732 -98.4127 69.15514 + 300 | 18.21928 24.33226 0.75 0.454 -29.49645 65.93501 + 301 | 14.88491 17.24689 0.86 0.388 -18.93637 48.70619 + 302 | 15.23834 16.32852 0.93 0.351 -16.78199 47.25867 + 321 | 18.02937 17.73747 1.02 0.310 -16.75393 52.81266 + 322 | 12.52708 17.93442 0.70 0.485 -22.64245 47.69661 + 323 | 25.58537 18.86663 1.36 0.175 -11.41222 62.58297 + 324 | 1.717164 18.96076 0.09 0.928 -35.46502 38.89934 + 325 | 21.30488 16.78092 1.27 0.204 -11.60263 54.21239 + 331 | 29.12907 16.26141 1.79 0.073 -2.759678 61.01781 + 332 | 13.13231 16.46441 0.80 0.425 -19.15451 45.41914 + 333 | 4.249903 18.7307 0.23 0.821 -32.48113 40.98094 + 334 | 33.92145 17.65902 1.92 0.055 -.7080152 68.55091 + 335 | -6.369058 17.65833 -0.36 0.718 -40.99716 28.25904 + 336 | 35.79078 16.97813 2.11 0.035 2.49656 69.085 + 341 | 7.448119 16.52329 0.45 0.652 -24.95416 39.8504 + 342 | 33.65821 27.26457 1.23 0.217 -19.8078 87.12421 + 343 | 27.69287 21.49068 1.29 0.198 -14.4505 69.83623 + 344 | 5.836502 21.22392 0.27 0.783 -35.78375 47.45675 + 398 | 32.03506 16.8293 1.90 0.057 -.9673057 65.03743 + 399 | 1.875637 20.06624 0.09 0.926 -37.4744 41.22568 + 400 | -2.289618 22.48237 -0.10 0.919 -46.37771 41.79847 + 401 | 69.10626 45.57797 1.52 0.130 -20.27244 158.485 + 402 | 30.21525 23.63482 1.28 0.201 -16.13279 76.56329 + 403 | -14.2889 18.23277 -0.78 0.433 -50.04348 21.46568 + 404 | 37.56864 28.6647 1.31 0.190 -18.64303 93.78031 + 405 | 11.28458 23.95738 0.47 0.638 -35.69601 58.26517 + 498 | 13.51129 24.30319 0.56 0.578 -34.14743 61.17001 + 499 | 33.25006 41.74737 0.80 0.426 -48.61682 115.1169 + 500 | -23.70291 17.74121 -1.34 0.182 -58.49354 11.08771 + 501 | -16.89698 16.46585 -1.03 0.305 -49.18663 15.39267 + 502 | -3.581454 16.67484 -0.21 0.830 -36.28092 29.11801 + 503 | -9.501546 15.66134 -0.61 0.544 -40.21355 21.21046 + 504 | -21.0079 15.87195 -1.32 0.186 -52.1329 10.1171 + 505 | -17.62458 16.27894 -1.08 0.279 -49.54769 14.29853 + 506 | -6.057908 18.46628 -0.33 0.743 -42.27041 30.1546 + 508 | 6.755979 21.2085 0.32 0.750 -34.83404 48.346 + 529 | 29.54346 16.31228 1.81 0.070 -2.445025 61.53195 + 530 | 4.553514 17.0265 0.27 0.789 -28.83558 37.94261 + 599 | -.0129107 24.39828 -0.00 1.000 -47.85811 47.83229 + 600 | 6.850294 21.06015 0.33 0.745 -34.4488 48.14939 + 601 | 15.79739 16.70365 0.95 0.344 -16.95858 48.55336 + 602 | -5.719358 15.70553 -0.36 0.716 -36.518 25.07929 + 603 | -.8789339 17.58149 -0.05 0.960 -35.35636 33.5985 + 604 | 16.17251 23.19157 0.70 0.486 -29.30631 61.65134 + 606 | .1412383 19.34383 0.01 0.994 -37.79214 38.07461 + 607 | 8.882514 16.50856 0.54 0.591 -23.49089 41.25592 + 609 | 4.478403 18.14822 0.25 0.805 -31.11037 40.06718 + 698 | 48.28925 43.1531 1.12 0.263 -36.33428 132.9128 + 699 | 35.18171 32.91037 1.07 0.285 -29.35575 99.71918 + 700 | 5.330625 17.45562 0.31 0.760 -28.89997 39.56122 + 701 | 4.316374 18.68758 0.23 0.817 -32.3301 40.96285 + 703 | 9.445066 18.81854 0.50 0.616 -27.45821 46.34834 + 704 | -1.841124 16.67672 -0.11 0.912 -34.54428 30.86203 + 705 | -9.345083 17.46052 -0.54 0.593 -43.58527 24.89511 + 707 | 27.56851 19.66579 1.40 0.161 -10.99624 66.13326 + 708 | -24.86734 16.43679 -1.51 0.130 -57.09999 7.365308 + 709 | 17.68055 16.63743 1.06 0.288 -14.94556 50.30667 + 710 | 22.73658 20.53342 1.11 0.268 -17.52959 63.00276 + 711 | 3.599118 18.96205 0.19 0.849 -33.5856 40.78384 + 798 | -11.51875 18.07718 -0.64 0.524 -46.96821 23.93072 + 799 | 27.69063 18.59742 1.49 0.137 -8.77904 64.1603 + 800 | -8.932431 17.81248 -0.50 0.616 -43.86282 25.99796 + 801 | 27.23139 22.54651 1.21 0.227 -16.98247 71.44525 + 802 | 6.434304 17.87614 0.36 0.719 -28.62093 41.48954 + 803 | -1.884671 16.91845 -0.11 0.911 -35.06188 31.29253 + 805 | 15.70664 22.56567 0.70 0.486 -28.54479 59.95807 + 806 | 50.6108 23.0675 2.19 0.028 5.375276 95.84633 + 807 | 26.23687 19.49557 1.35 0.179 -11.99407 64.46782 + 898 | -20.90586 21.29401 -0.98 0.326 -62.66355 20.85184 + 899 | -48.286 18.69013 -2.58 0.010 -84.93746 -11.63454 + 1000 | 21.98044 30.38911 0.72 0.470 -37.61281 81.57369 + 1001 | -15.20943 20.67204 -0.74 0.462 -55.74745 25.32859 + 1002 | 23.5769 28.03079 0.84 0.400 -31.39167 78.54547 + 1003 | 11.9087 16.76961 0.71 0.478 -20.97663 44.79402 + 1005 | 41.87292 37.07403 1.13 0.259 -30.8295 114.5753 + 1006 | 12.09548 21.73324 0.56 0.578 -30.52354 54.7145 + 1007 | 27.67416 18.37922 1.51 0.132 -8.36762 63.71594 + 1010 | -35.20472 17.64595 -2.00 0.046 -69.80855 -.6008867 + 1098 | -20.62999 20.90093 -0.99 0.324 -61.61687 20.35688 + 1099 | 70.31537 47.20623 1.49 0.136 -22.25636 162.8871 + 1200 | 6.245604 26.166 0.24 0.811 -45.0661 57.55731 + 1201 | 17.54291 20.16569 0.87 0.384 -22.00215 57.08797 + 1202 | 52.58394 29.65438 1.77 0.076 -5.568509 110.7364 + 1203 | 27.75998 20.97512 1.32 0.186 -13.37236 68.89233 + 1204 | 17.087 17.69357 0.97 0.334 -17.61021 51.78421 + 1205 | 17.72343 24.93412 0.71 0.477 -31.17255 66.61942 + 1206 | -.8071266 19.86563 -0.04 0.968 -39.76376 38.1495 + 1207 | 28.94705 26.41232 1.10 0.273 -22.84769 80.74178 + 1208 | 12.01382 17.21661 0.70 0.485 -21.74807 45.77571 + 1209 | -12.91836 16.14122 -0.80 0.424 -44.5714 18.73467 + 1210 | -6.604275 18.85188 -0.35 0.726 -43.57293 30.36438 + 1211 | -4.089613 19.49407 -0.21 0.834 -42.31762 34.13839 + 1299 | 2.466596 27.85015 0.09 0.929 -52.14774 57.08093 + 1300 | -6.238491 16.62191 -0.38 0.707 -38.83417 26.35718 + 1301 | -6.685931 19.10399 -0.35 0.726 -44.14899 30.77712 + 1302 | -15.21748 18.30263 -0.83 0.406 -51.10906 20.6741 + 1303 | -12.36912 16.0123 -0.77 0.440 -43.76935 19.03111 + 1304 | 4.707553 16.7452 0.28 0.779 -28.12989 37.545 + 1305 | .1391462 17.76115 0.01 0.994 -34.6906 34.96889 + 1399 | 5.309237 66.05692 0.08 0.936 -124.2288 134.8473 + 1400 | 10.58544 20.14776 0.53 0.599 -28.92446 50.09534 + 1401 | .2892551 18.28139 0.02 0.987 -35.56068 36.13919 + 1403 | -10.19084 16.96434 -0.60 0.548 -43.45803 23.07635 + 1404 | -33.46817 17.57719 -1.90 0.057 -67.93717 1.000822 + 1405 | 49.71478 25.30773 1.96 0.050 .0861531 99.34341 + 1406 | -14.85566 17.00753 -0.87 0.382 -48.20754 18.49622 + 1407 | 11.06423 28.84881 0.38 0.701 -45.50848 67.63695 + 1408 | -4.94254 16.27887 -0.30 0.761 -36.86551 26.98043 + 1409 | 5.062057 21.19048 0.24 0.811 -36.49262 46.61673 + 1410 | -3.032365 20.86348 -0.15 0.884 -43.9458 37.88107 + 1499 | -20.91146 26.41138 -0.79 0.429 -72.70437 30.88144 + 1500 | -25.46316 19.11035 -1.33 0.183 -62.9387 12.01237 + 1501 | 16.35346 19.61465 0.83 0.405 -22.111 54.81792 + 1502 | 9.988381 17.45476 0.57 0.567 -24.24053 44.21729 + 1504 | 12.7217 22.18343 0.57 0.566 -30.78015 56.22355 + 1505 | 22.44437 23.43609 0.96 0.338 -23.51396 68.40269 + 1507 | 24.26573 43.45261 0.56 0.577 -60.94513 109.4766 + 1520 | -4.034175 19.11682 -0.21 0.833 -41.5224 33.45405 + 1521 | 8.608982 19.08855 0.45 0.652 -28.82379 46.04175 + 1522 | 112.6975 23.87824 4.72 0.000 65.87206 159.5228 + 1523 | -6.114465 16.93415 -0.36 0.718 -39.32245 27.09352 + 1524 | 48.46899 27.34309 1.77 0.076 -5.150992 102.089 + 1525 | 1.257362 16.81483 0.07 0.940 -31.71663 34.23135 + 1526 | 27.63083 21.9831 1.26 0.209 -15.47818 70.73983 + 1599 | 12.68871 21.32425 0.60 0.552 -29.1283 54.50572 + 1600 | 87.23623 46.0823 1.89 0.058 -3.131477 177.6039 + 1602 | 5.762824 19.11387 0.30 0.763 -31.71961 43.24526 + 1603 | -49.36587 29.11079 -1.70 0.090 -106.4523 7.720585 + 1604 | 2.858538 22.10199 0.13 0.897 -40.48362 46.2007 + 1605 | 15.25283 19.42908 0.79 0.433 -22.84773 53.35338 + 1606 | 13.9462 21.64866 0.64 0.520 -28.50698 56.39937 + 1608 | 21.03643 16.9468 1.24 0.215 -12.19635 54.26922 + 1609 | 14.02183 17.94274 0.78 0.435 -21.164 49.20766 + 1610 | 13.15172 19.61418 0.67 0.503 -25.31181 51.61525 + 1611 | 49.20317 30.35937 1.62 0.105 -10.33175 108.7381 + 1612 | 5.319394 18.08731 0.29 0.769 -30.14995 40.78874 + 1614 | 14.22929 22.00673 0.65 0.518 -28.92606 57.38464 + 1615 | -8.691107 19.78008 -0.44 0.660 -47.47998 30.09777 + 1616 | 20.94548 18.05898 1.16 0.246 -14.46829 56.35926 + 1617 | -21.13441 18.2496 -1.16 0.247 -56.922 14.65319 + 1619 | -15.52478 23.53485 -0.66 0.510 -61.67679 30.62723 + 1620 | 47.43407 33.45582 1.42 0.156 -18.17301 113.0412 + 1698 | 9.80177 24.09079 0.41 0.684 -37.44044 57.04398 + 1699 | 31.30635 17.91361 1.75 0.081 -3.822365 66.43507 + 1700 | 40.28374 27.48344 1.47 0.143 -13.61148 94.17897 + 1701 | 80.55337 34.10016 2.36 0.018 13.68272 147.424 + 1704 | 69.98935 38.58476 1.81 0.070 -5.675633 145.6543 + 1705 | 41.15457 51.88618 0.79 0.428 -60.59459 142.9037 + 1706 | 5.442355 17.63254 0.31 0.758 -29.13518 40.01989 + 1707 | 14.20793 17.38003 0.82 0.414 -19.87443 48.2903 + 1708 | 39.15741 20.80081 1.88 0.060 -1.633125 79.94795 + 1709 | 60.66803 20.97908 2.89 0.004 19.52791 101.8081 + 1798 | 23.34773 23.52823 0.99 0.321 -22.79129 69.48674 + 1799 | 37.70307 55.794 0.68 0.499 -71.70934 147.1155 + 1800 | 19.85326 23.79298 0.83 0.404 -26.80494 66.51147 + 1802 | 16.84055 18.92198 0.89 0.374 -20.26558 53.94668 + 1803 | 18.22052 19.19383 0.95 0.343 -19.4187 55.85974 + 1804 | 35.03416 37.21507 0.94 0.347 -37.94486 108.0132 + 1806 | 37.69534 19.84148 1.90 0.058 -1.213932 76.60461 + 1807 | -35.16434 16.46593 -2.14 0.033 -67.45415 -2.874532 + 1808 | 88.33775 41.37248 2.14 0.033 7.206035 169.4695 + 1899 | -38.82037 18.31151 -2.12 0.034 -74.72937 -2.911376 + 1900 | 38.55771 36.57997 1.05 0.292 -33.17585 110.2913 + 1901 | 36.06284 26.05952 1.38 0.167 -15.04005 87.16573 + 1902 | 56.34737 21.83571 2.58 0.010 13.52739 99.16734 + 1905 | -5.978358 18.56425 -0.32 0.747 -42.38298 30.42627 + 1906 | 58.81652 37.35858 1.57 0.116 -14.4439 132.0769 + 1907 | 64.26584 31.56712 2.04 0.042 2.362499 126.1692 + 1908 | 12.97538 22.60481 0.57 0.566 -31.35281 57.30358 + 1909 | 20.88623 24.36769 0.86 0.391 -26.89898 68.67143 + 1910 | -9.345516 21.44737 -0.44 0.663 -51.40396 32.71293 + 1911 | 54.43309 36.53914 1.49 0.136 -17.22042 126.0866 + 1912 | -58.45254 18.78491 -3.11 0.002 -95.28988 -21.6152 + 1914 | -23.85 18.67196 -1.28 0.202 -60.46584 12.76584 + 1915 | 94.06176 26.84898 3.50 0.000 41.41072 146.7128 + 1919 | 113.8806 72.55144 1.57 0.117 -28.39322 256.1545 + 1920 | 41.5648 22.76057 1.83 0.068 -3.068831 86.19844 + 1925 | 7.838371 17.52717 0.45 0.655 -26.53252 42.20926 + 1926 | 9.873244 23.00202 0.43 0.668 -35.23387 54.98036 + 1927 | -8.404381 19.98015 -0.42 0.674 -47.5856 30.77684 + 1929 | 28.81356 24.38949 1.18 0.238 -19.0144 76.64151 + 1999 | 176.8152 146.1743 1.21 0.227 -109.8336 463.464 + 2000 | -2.590401 19.975 -0.13 0.897 -41.76152 36.58072 + 2001 | 31.36323 38.8453 0.81 0.420 -44.81266 107.5391 + 2002 | 6.162214 20.27368 0.30 0.761 -33.59461 45.91903 + 2003 | 27.87611 18.35814 1.52 0.129 -8.124333 63.87655 + 2004 | 28.99499 16.79542 1.73 0.084 -3.940951 61.93092 + 2005 | 84.68959 52.66138 1.61 0.108 -18.57975 187.9589 + 2006 | 108.3244 25.39217 4.27 0.000 58.53019 158.1186 + 2007 | 2.166859 19.04256 0.11 0.909 -35.17574 39.50945 + 2008 | 72.80203 16.74806 4.35 0.000 39.95897 105.6451 + 2009 | 13.76499 25.75237 0.53 0.593 -36.73559 64.26557 + 2010 | -74.48537 16.96238 -4.39 0.000 -107.7487 -41.22202 + 2011 | 5.535201 18.19348 0.30 0.761 -30.14233 41.21274 + 2012 | -21.64714 16.30476 -1.33 0.184 -53.62089 10.32662 + 2013 | -2.382703 21.42857 -0.11 0.911 -44.40427 39.63886 + 2014 | 61.13968 24.7738 2.47 0.014 12.55809 109.7213 + 2015 | 36.87606 35.32595 1.04 0.297 -32.39838 106.1505 + 2030 | 7.767756 33.24716 0.23 0.815 -57.43016 72.96567 + 2099 | 34.52003 28.13968 1.23 0.220 -20.66209 89.70214 + 2100 | -19.33109 19.52563 -0.99 0.322 -57.62099 18.95882 + 2101 | 17.67168 16.73031 1.06 0.291 -15.13658 50.47993 + 2102 | 22.74251 16.80527 1.35 0.176 -10.21275 55.69777 + 2103 | 23.36195 19.23818 1.21 0.225 -14.36426 61.08816 + 2104 | 2.80854 17.95565 0.16 0.876 -32.40261 38.01969 + 2105 | 9.092204 35.95799 0.25 0.800 -61.42166 79.60607 + 2199 | -62.80294 16.76404 -3.75 0.000 -95.67734 -29.92854 + 9999 | 21.73227 20.49147 1.06 0.289 -18.45164 61.91617 + | + house_administration | 9.411488 5.725265 1.64 0.100 -1.815796 20.63877 + house_agriculture | 8.335403 7.46601 1.12 0.264 -6.305494 22.9763 + house_appropriations | -32.39597 12.63925 -2.56 0.010 -57.18163 -7.610309 + house_armedservices | -16.13789 6.62463 -2.44 0.015 -29.12883 -3.146942 + house_budget | -26.25787 8.018525 -3.27 0.001 -41.98225 -10.53349 + house_dc | -6.675211 21.11386 -0.32 0.752 -48.07964 34.72921 + house_educlabor | -17.02969 2.359092 -7.22 0.000 -21.65589 -12.4035 + house_energycommerce | -9.887423 2.508611 -3.94 0.000 -14.80683 -4.968019 + house_foreignaffairs | 6.715942 7.5203 0.89 0.372 -8.031418 21.4633 + house_governmentop | -9.440243 6.617664 -1.43 0.154 -22.41753 3.537041 + house_intelligence | 35.71085 14.33859 2.49 0.013 7.592786 63.82892 + house_interior | -10.53836 7.470591 -1.41 0.158 -25.18824 4.111517 + house_judiciary | 3.605829 4.109289 0.88 0.380 -4.452515 11.66417 + house_mmf | -14.50846 8.540521 -1.70 0.089 -31.25648 2.239561 + house_pocs | -12.12416 8.896379 -1.36 0.173 -29.57002 5.321702 + house_pwt | 6.73614 7.872604 0.86 0.392 -8.70209 22.17437 + house_rules | 11.35555 8.840081 1.28 0.199 -5.979911 28.69101 + house_sst | 20.51382 9.895211 2.07 0.038 1.109247 39.9184 + house_smallbusi | -16.11141 10.20297 -1.58 0.114 -36.11951 3.89669 + house_soc | 6.642362 30.01643 0.22 0.825 -52.22006 65.50478 + house_veterans | 9.988502 8.596719 1.16 0.245 -6.869723 26.84673 + house_waysandmeans | -.2233445 2.417314 -0.09 0.926 -4.963714 4.517025 +house_naturalresources | -14.35515 7.530281 -1.91 0.057 -29.12208 .4117831 + house_bfs | -4.792396 5.452268 -0.88 0.380 -15.48433 5.899538 + house_eeo | -4.24641 8.076455 -0.53 0.599 -20.08439 11.59157 + house_govreform | -1.255573 4.520344 -0.28 0.781 -10.12 7.608852 + house_ir | 3.803947 9.652022 0.39 0.694 -15.12373 22.73163 + house_natsecur | 6.387444 8.249357 0.77 0.439 -9.789602 22.56449 + house_oversight | -5.234911 6.96251 -0.75 0.452 -18.88844 8.418618 + house_resources | 4.679391 8.937081 0.52 0.601 -12.84629 22.20507 + house_science | -11.55149 6.827249 -1.69 0.091 -24.93978 1.836788 + house_transp | .4043959 6.183947 0.07 0.948 -11.72237 12.53116 + house_homeland | 3.884239 13.13728 0.30 0.768 -21.87805 29.64653 + _cons | 51.75703 15.34428 3.37 0.001 21.6668 81.84726 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,272 1 0 1 1 + + +j = 4 k = 3 + + +rdbwselect_2014 var_cosp_dwnom1_spons MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5781 +----------------------+---------------------- NN matches = 3 + Number of obs | 3946 1835 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 15.59014 26.3136 .5924746 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(6,677 missing values generated) +(54,574 missing values generated) +(47,897 real changes made) +reg var_cosp_dwnom1_spons sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==200 & tag_bill==1, robust cluster(group_sponsor) +(sum of wgt is 51,867.3033832312) + +Linear regression Number of obs = 26,009 + F(267, 2120) = . + Prob > F = . + R-squared = 0.1503 + Root MSE = 107.51 + + (Std. Err. adjusted for 2,121 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + var_cosp_dwnom1_spons | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -3.059972 3.082522 -0.99 0.321 -9.105054 2.985111 + | + v2 | + 102 | 5.892927 4.327731 1.36 0.173 -2.594115 14.37997 + 103 | 3.992223 4.479301 0.89 0.373 -4.79206 12.77651 + 104 | 18.12005 5.49155 3.30 0.001 7.350663 28.88944 + 105 | 28.65869 5.267591 5.44 0.000 18.3285 38.98888 + 106 | 50.25302 6.115848 8.22 0.000 38.25933 62.24671 + 107 | 56.39434 5.170241 10.91 0.000 46.25506 66.53361 + 108 | 58.51688 7.069295 8.28 0.000 44.6534 72.38036 + 109 | 64.02776 5.474818 11.69 0.000 53.29119 74.76434 + 110 | 28.06202 8.074375 3.48 0.001 12.2275 43.89655 + 111 | 36.06167 7.1932 5.01 0.000 21.9552 50.16814 + | + minor | + 101 | 48.53642 22.42691 2.16 0.031 4.555363 92.51747 + 103 | 50.20401 60.77232 0.83 0.409 -68.97559 169.3836 + 104 | 31.33298 30.79133 1.02 0.309 -29.05139 91.71734 + 105 | 11.83213 17.59333 0.67 0.501 -22.66985 46.33411 + 107 | 37.25876 14.0729 2.65 0.008 9.660618 64.8569 + 108 | 76.21598 26.90727 2.83 0.005 23.44858 128.9834 + 110 | -44.24701 19.28277 -2.29 0.022 -82.06212 -6.431889 + 200 | 62.83202 20.81335 3.02 0.003 22.01529 103.6487 + 201 | 8.675661 39.15963 0.22 0.825 -68.11965 85.47098 + 202 | 10.00269 25.77436 0.39 0.698 -40.54298 60.54836 + 204 | 49.29961 31.46619 1.57 0.117 -12.40822 111.0074 + 205 | 63.66415 41.39393 1.54 0.124 -17.51282 144.8411 + 206 | 5.046667 15.49365 0.33 0.745 -25.33767 35.431 + 207 | 25.44559 14.74011 1.73 0.084 -3.46099 54.35217 + 208 | 48.84584 15.81163 3.09 0.002 17.83791 79.85377 + 209 | -73.32932 15.28532 -4.80 0.000 -103.3051 -43.35353 + 299 | 61.71188 25.94155 2.38 0.017 10.83834 112.5854 + 300 | 56.76872 35.08298 1.62 0.106 -12.03194 125.5694 + 301 | 44.32762 19.80294 2.24 0.025 5.492392 83.16285 + 302 | 57.84868 16.51954 3.50 0.000 25.45249 90.24488 + 321 | 100.8654 17.90084 5.63 0.000 65.76038 135.9705 + 322 | 88.18497 22.87749 3.85 0.000 43.3203 133.0496 + 323 | 61.12391 19.79516 3.09 0.002 22.30393 99.94388 + 324 | 29.70389 22.35009 1.33 0.184 -14.12651 73.53429 + 325 | 60.10499 22.58561 2.66 0.008 15.81271 104.3973 + 331 | 107.8504 18.06997 5.97 0.000 72.41372 143.2872 + 332 | 62.94344 16.20458 3.88 0.000 31.1649 94.72198 + 333 | 90.4004 23.39819 3.86 0.000 44.51459 136.2862 + 334 | 77.04835 16.30421 4.73 0.000 45.07443 109.0223 + 335 | 21.41032 18.05033 1.19 0.236 -13.98789 56.80854 + 336 | 76.6538 20.64138 3.71 0.000 36.17433 117.1333 + 341 | 47.70883 19.97673 2.39 0.017 8.532798 86.88486 + 342 | 50.21564 26.89082 1.87 0.062 -2.519501 102.9508 + 343 | 59.06141 25.6838 2.30 0.022 8.693321 109.4295 + 344 | 75.49801 16.64697 4.54 0.000 42.8519 108.1441 + 398 | 65.5959 20.26567 3.24 0.001 25.85323 105.3386 + 399 | 39.51475 24.93759 1.58 0.113 -9.389945 88.41945 + 400 | 25.2619 19.61967 1.29 0.198 -13.21391 63.73772 + 401 | 66.36048 22.52621 2.95 0.003 22.18469 110.5363 + 402 | 55.93944 15.30202 3.66 0.000 25.9309 85.94799 + 403 | 83.48427 27.68541 3.02 0.003 29.19086 137.7777 + 404 | 93.74843 17.17727 5.46 0.000 60.06237 127.4345 + 405 | 70.79617 17.08224 4.14 0.000 37.29647 104.2959 + 498 | 99.88959 32.74355 3.05 0.002 35.67676 164.1024 + 499 | 34.19394 26.31074 1.30 0.194 -17.40361 85.7915 + 500 | 36.63955 17.84546 2.05 0.040 1.643101 71.63599 + 501 | 2.06929 25.56573 0.08 0.935 -48.06725 52.20583 + 502 | 56.57099 17.09697 3.31 0.001 23.04239 90.09958 + 503 | 38.96589 15.55076 2.51 0.012 8.469546 69.46223 + 504 | 40.78889 31.87763 1.28 0.201 -21.7258 103.3036 + 505 | -3.838081 14.60786 -0.26 0.793 -32.48533 24.80916 + 506 | 28.74223 18.13477 1.58 0.113 -6.821575 64.30604 + 508 | 45.22397 19.07071 2.37 0.018 7.824713 82.62323 + 529 | 48.07534 23.03651 2.09 0.037 2.898827 93.25186 + 530 | 35.68269 17.30798 2.06 0.039 1.740292 69.62508 + 599 | 23.86823 33.63072 0.71 0.478 -42.08443 89.82088 + 600 | 17.15883 16.25175 1.06 0.291 -14.71221 49.02988 + 601 | 70.52731 17.57449 4.01 0.000 36.06227 104.9924 + 602 | 60.89153 16.60887 3.67 0.000 28.32014 93.46292 + 603 | 90.38003 26.0908 3.46 0.001 39.21378 141.5463 + 604 | 59.08645 36.00666 1.64 0.101 -11.52562 129.6985 + 606 | 62.74864 28.07179 2.24 0.026 7.69751 117.7998 + 607 | 62.25463 19.91123 3.13 0.002 23.20704 101.3022 + 609 | 54.71487 30.74421 1.78 0.075 -5.577102 115.0068 + 698 | -14.28285 29.77729 -0.48 0.632 -72.6786 44.11291 + 699 | -7.143796 21.70709 -0.33 0.742 -49.71321 35.42561 + 700 | 45.58563 21.86926 2.08 0.037 2.698195 88.47307 + 701 | 52.71892 21.41212 2.46 0.014 10.72796 94.70988 + 703 | 49.67244 16.02188 3.10 0.002 18.25219 81.0927 + 704 | 40.76004 18.40491 2.21 0.027 4.666475 76.85361 + 705 | 9.151644 14.92547 0.61 0.540 -20.11846 38.42175 + 707 | 42.20818 33.96911 1.24 0.214 -24.40809 108.8244 + 708 | 68.90111 27.60126 2.50 0.013 14.77273 123.0295 + 709 | 18.77963 15.44359 1.22 0.224 -11.50654 49.06579 + 710 | 31.70263 22.09402 1.43 0.151 -11.62559 75.03086 + 711 | 55.35461 19.2042 2.88 0.004 17.69356 93.01566 + 798 | 47.21979 19.03763 2.48 0.013 9.885411 84.55417 + 799 | 105.7625 31.00738 3.41 0.001 44.95448 166.5706 + 800 | 18.10323 20.80498 0.87 0.384 -22.69708 58.90354 + 801 | 54.62706 29.77006 1.83 0.067 -3.754515 113.0086 + 802 | 86.88427 30.55777 2.84 0.005 26.95792 146.8106 + 803 | 9.795136 16.88255 0.58 0.562 -23.31296 42.90323 + 805 | -27.69888 18.88212 -1.47 0.143 -64.7283 9.330538 + 806 | 69.77942 23.58696 2.96 0.003 23.52341 116.0354 + 807 | 68.28335 20.61373 3.31 0.001 27.8581 108.7086 + 898 | 48.0108 61.36822 0.78 0.434 -72.33741 168.359 + 899 | -32.29329 34.04633 -0.95 0.343 -99.06099 34.4744 + 1000 | 57.25569 22.14832 2.59 0.010 13.82097 100.6904 + 1001 | 97.38751 18.63138 5.23 0.000 60.84982 133.9252 + 1002 | 60.9913 20.42501 2.99 0.003 20.93616 101.0464 + 1003 | 53.52843 17.23153 3.11 0.002 19.73595 87.32091 + 1005 | 23.29325 18.64631 1.25 0.212 -13.27373 59.86023 + 1006 | 86.15023 22.27 3.87 0.000 42.4769 129.8236 + 1007 | 33.78523 15.51844 2.18 0.030 3.352265 64.2182 + 1010 | 32.30655 28.08401 1.15 0.250 -22.76854 87.38164 + 1098 | 38.83851 45.62763 0.85 0.395 -50.64108 128.3181 + 1099 | 15.60577 53.37255 0.29 0.770 -89.06225 120.2738 + 1200 | 53.96002 40.26569 1.34 0.180 -25.00438 132.9244 + 1201 | 115.0743 31.46181 3.66 0.000 53.37511 176.7736 + 1202 | 58.85574 21.81691 2.70 0.007 16.07095 101.6405 + 1203 | 34.73049 15.9147 2.18 0.029 3.520428 65.94054 + 1204 | 57.13568 15.8061 3.61 0.000 26.1386 88.13277 + 1205 | 40.60755 21.03265 1.93 0.054 -.6392377 81.85434 + 1206 | 201.2992 36.8408 5.46 0.000 129.0513 273.5471 + 1207 | 73.57709 21.48007 3.43 0.001 31.45287 115.7013 + 1208 | 70.33509 19.53921 3.60 0.000 32.01707 108.6531 + 1209 | 58.96184 16.12905 3.66 0.000 27.33144 90.59225 + 1210 | 46.45825 17.03529 2.73 0.006 13.05062 79.86588 + 1211 | 79.58649 37.87202 2.10 0.036 5.316293 153.8567 + 1299 | 157.2326 45.451 3.46 0.001 68.0994 246.3658 + 1300 | 20.2691 16.40738 1.24 0.217 -11.90713 52.44534 + 1301 | 136.9102 26.92357 5.09 0.000 84.11084 189.7096 + 1302 | 16.22407 23.72198 0.68 0.494 -30.29672 62.74485 + 1303 | 40.86117 15.0783 2.71 0.007 11.29136 70.43097 + 1304 | 67.39382 18.31292 3.68 0.000 31.48065 103.307 + 1305 | 12.73552 41.87212 0.30 0.761 -69.37921 94.85024 + 1399 | 11.22423 22.92864 0.49 0.625 -33.74075 56.18921 + 1400 | 42.18695 20.40444 2.07 0.039 2.172137 82.20175 + 1401 | 63.91269 23.63644 2.70 0.007 17.55966 110.2657 + 1403 | 98.85785 17.59391 5.62 0.000 64.35471 133.361 + 1404 | 36.65711 21.88193 1.68 0.094 -6.255184 79.56941 + 1405 | 95.7188 53.05959 1.80 0.071 -8.3355 199.7731 + 1406 | 52.92254 22.92236 2.31 0.021 7.969878 97.8752 + 1407 | 90.5441 38.14087 2.37 0.018 15.74667 165.3415 + 1408 | 90.89821 37.42363 2.43 0.015 17.50734 164.2891 + 1409 | 96.68432 30.23497 3.20 0.001 37.39102 155.9776 + 1410 | 84.63009 19.8062 4.27 0.000 45.78847 123.4717 + 1499 | 30.22541 30.09704 1.00 0.315 -28.79739 89.24822 + 1500 | 57.34982 27.9564 2.05 0.040 2.524974 112.1747 + 1501 | 78.93083 16.78292 4.70 0.000 46.01812 111.8435 + 1502 | 57.67381 18.83524 3.06 0.002 20.73634 94.61129 + 1504 | 48.63922 18.24526 2.67 0.008 12.85873 84.41971 + 1505 | 111.0643 19.54762 5.68 0.000 72.72978 149.3988 + 1507 | 88.35953 28.75758 3.07 0.002 31.96352 144.7555 + 1520 | 39.19749 23.47332 1.67 0.095 -6.835653 85.23063 + 1521 | 70.62226 21.24994 3.32 0.001 28.94934 112.2952 + 1522 | 144.6096 21.62487 6.69 0.000 102.2014 187.0178 + 1523 | 56.34097 18.38451 3.06 0.002 20.28742 92.39452 + 1524 | 71.81669 29.68521 2.42 0.016 13.60152 130.0319 + 1525 | 94.40708 28.8544 3.27 0.001 37.82118 150.993 + 1526 | 115.742 25.48082 4.54 0.000 65.77197 165.712 + 1599 | 98.29095 18.27642 5.38 0.000 62.44936 134.1325 + 1600 | 59.77495 27.66668 2.16 0.031 5.518277 114.0316 + 1602 | 37.06409 29.78423 1.24 0.213 -21.34527 95.47345 + 1603 | 15.26572 23.05142 0.66 0.508 -29.94004 60.47149 + 1604 | 85.95353 28.67977 3.00 0.003 29.7101 142.197 + 1605 | 43.64215 20.00045 2.18 0.029 4.419593 82.86471 + 1606 | 25.62369 27.89101 0.92 0.358 -29.07291 80.32029 + 1608 | 62.681 17.37525 3.61 0.000 28.60667 96.75532 + 1609 | 44.78675 20.54903 2.18 0.029 4.488393 85.08511 + 1610 | 54.39884 21.89697 2.48 0.013 11.45706 97.34062 + 1611 | 23.90901 23.97806 1.00 0.319 -23.11397 70.93199 + 1612 | 139.3162 54.47171 2.56 0.011 32.49266 246.1398 + 1614 | -37.65683 21.77252 -1.73 0.084 -80.35456 5.040902 + 1615 | 35.69238 20.2996 1.76 0.079 -4.116836 75.5016 + 1616 | 37.4849 25.22137 1.49 0.137 -11.97632 86.94612 + 1617 | 59.3166 22.26057 2.66 0.008 15.66177 102.9714 + 1619 | 1.787047 27.61856 0.06 0.948 -52.37526 55.94935 + 1620 | 63.99532 22.50725 2.84 0.005 19.85672 108.1339 + 1698 | 50.31844 20.3731 2.47 0.014 10.36509 90.27179 + 1699 | 65.26079 22.89371 2.85 0.004 20.3643 110.1573 + 1700 | 78.81326 29.5318 2.67 0.008 20.89894 136.7276 + 1701 | 96.56313 38.83032 2.49 0.013 20.41363 172.7126 + 1704 | 98.14174 31.62618 3.10 0.002 36.12015 160.1633 + 1705 | 42.22414 35.3417 1.19 0.232 -27.08389 111.5322 + 1706 | 82.86832 23.22304 3.57 0.000 37.32599 128.4106 + 1707 | 85.39651 23.6893 3.60 0.000 38.93981 131.8532 + 1708 | 66.96498 31.92708 2.10 0.036 4.353316 129.5766 + 1709 | 97.97664 19.32317 5.07 0.000 60.0823 135.871 + 1798 | 99.4533 21.26589 4.68 0.000 57.74911 141.1575 + 1799 | 19.51328 40.65394 0.48 0.631 -60.2125 99.23905 + 1800 | 40.22538 19.06165 2.11 0.035 2.843882 77.60687 + 1802 | 83.08974 23.23855 3.58 0.000 37.51701 128.6625 + 1803 | 86.8109 25.38588 3.42 0.001 37.02706 136.5947 + 1804 | 139.1497 39.06224 3.56 0.000 62.54534 215.754 + 1806 | 28.85544 18.41186 1.57 0.117 -7.251751 64.96263 + 1807 | -27.57474 14.43158 -1.91 0.056 -55.87628 .7267915 + 1808 | 92.62534 46.14737 2.01 0.045 2.126481 183.1242 + 1899 | 22.71383 71.96165 0.32 0.752 -118.409 163.8366 + 1900 | 82.07045 27.08791 3.03 0.002 28.9488 135.1921 + 1901 | 51.93316 18.97741 2.74 0.006 14.71687 89.14945 + 1902 | 70.54497 19.98567 3.53 0.000 31.35139 109.7385 + 1905 | 94.39552 39.16199 2.41 0.016 17.59558 171.1955 + 1906 | 67.4456 24.87019 2.71 0.007 18.67307 116.2181 + 1907 | 69.81909 43.73708 1.60 0.111 -15.95297 155.5912 + 1908 | 72.6257 31.30908 2.32 0.020 11.22599 134.0254 + 1909 | 104.5432 19.63659 5.32 0.000 66.03423 143.0522 + 1910 | 60.96741 21.45977 2.84 0.005 18.88302 103.0518 + 1911 | 89.18384 44.09432 2.02 0.043 2.711187 175.6565 + 1912 | -.2747356 15.07477 -0.02 0.985 -29.83762 29.28815 + 1914 | 64.31872 24.68419 2.61 0.009 15.91097 112.7265 + 1915 | 55.52023 42.26657 1.31 0.189 -27.36805 138.4085 + 1919 | 116.2471 28.10083 4.14 0.000 61.13901 171.3551 + 1920 | 83.56981 25.13678 3.32 0.001 34.27449 132.8651 + 1925 | 91.58329 19.53628 4.69 0.000 53.27101 129.8956 + 1926 | 9.528098 17.62095 0.54 0.589 -25.02805 44.08425 + 1927 | 57.42115 22.74941 2.52 0.012 12.80765 102.0346 + 1929 | 56.42176 24.2395 2.33 0.020 8.886077 103.9574 + 1999 | 48.77197 42.25335 1.15 0.249 -34.09039 131.6343 + 2000 | 36.39301 17.73695 2.05 0.040 1.609377 71.17665 + 2001 | 32.22907 32.21243 1.00 0.317 -30.94219 95.40034 + 2002 | 14.84866 16.93412 0.88 0.381 -18.36057 48.05789 + 2003 | 87.62296 22.45972 3.90 0.000 43.57758 131.6683 + 2004 | 49.17825 17.13079 2.87 0.004 15.58333 82.77317 + 2005 | -.0204979 19.43619 -0.00 0.999 -38.13648 38.09549 + 2006 | 136.1053 16.08676 8.46 0.000 104.5579 167.6528 + 2007 | 32.94604 19.79169 1.66 0.096 -5.867127 71.7592 + 2008 | 103.405 16.76006 6.17 0.000 70.53714 136.2729 + 2009 | 15.74762 22.18377 0.71 0.478 -27.7566 59.25183 + 2011 | 27.42394 14.27162 1.92 0.055 -.5639037 55.41178 + 2012 | 24.77935 15.1968 1.63 0.103 -5.022848 54.58154 + 2013 | 7.498215 25.84346 0.29 0.772 -43.18297 58.1794 + 2014 | 42.77626 22.31022 1.92 0.055 -.9759442 86.52847 + 2015 | 74.90422 32.46177 2.31 0.021 11.24397 138.5645 + 2030 | 65.75209 23.34104 2.82 0.005 19.97836 111.5258 + 2099 | 51.56554 22.18968 2.32 0.020 8.049723 95.08136 + 2100 | -3.418654 17.2569 -0.20 0.843 -37.26088 30.42357 + 2101 | 63.90644 18.11452 3.53 0.000 28.38234 99.43053 + 2102 | 58.3843 17.81667 3.28 0.001 23.44432 93.32428 + 2103 | 22.50955 16.47529 1.37 0.172 -9.79987 54.81896 + 2104 | 33.86668 16.27303 2.08 0.038 1.953917 65.77944 + 2105 | 87.60786 25.87303 3.39 0.001 36.86869 138.347 + 2199 | 35.08494 47.90576 0.73 0.464 -58.86225 129.0321 + 9999 | 1.144691 19.52364 0.06 0.953 -37.14281 39.43219 + | + house_administration | -19.94472 8.403496 -2.37 0.018 -36.42468 -3.464764 + house_agriculture | -3.435936 6.718943 -0.51 0.609 -16.61235 9.740473 + house_appropriations | -52.24533 9.856591 -5.30 0.000 -71.57493 -32.91573 + house_armedservices | -2.964581 8.504453 -0.35 0.727 -19.64253 13.71336 + house_budget | 14.42268 12.35617 1.17 0.243 -9.808801 38.65416 + house_dc | 20.95355 18.12099 1.16 0.248 -14.58323 56.49034 + house_educlabor | -14.27397 5.014445 -2.85 0.004 -24.10771 -4.440219 + house_energycommerce | 12.66777 5.633809 2.25 0.025 1.6194 23.71614 + house_foreignaffairs | 3.047567 10.03185 0.30 0.761 -16.62572 22.72086 + house_governmentop | 12.10737 6.480806 1.87 0.062 -.6020268 24.81678 + house_intelligence | -22.0984 20.97807 -1.05 0.292 -63.23814 19.04135 + house_interior | 2.468669 8.767947 0.28 0.778 -14.72601 19.66335 + house_judiciary | -5.432548 4.303192 -1.26 0.207 -13.87147 3.00637 + house_mmf | 12.85817 8.179545 1.57 0.116 -3.182599 28.89894 + house_pocs | -4.911824 8.696582 -0.56 0.572 -21.96655 12.1429 + house_pwt | -17.41583 7.992328 -2.18 0.029 -33.08946 -1.742208 + house_rules | -8.940486 7.116453 -1.26 0.209 -22.89644 5.015473 + house_sst | 11.4907 12.01695 0.96 0.339 -12.07553 35.05694 + house_smallbusi | -8.271485 24.98478 -0.33 0.741 -57.26872 40.72575 + house_soc | -9.30477 13.75543 -0.68 0.499 -36.28032 17.67078 + house_veterans | 28.63627 10.40172 2.75 0.006 8.237635 49.03491 + house_waysandmeans | -4.021451 3.572573 -1.13 0.260 -11.02757 2.984664 +house_naturalresources | 13.72938 11.80472 1.16 0.245 -9.420665 36.87943 + house_bfs | -3.08202 6.224898 -0.50 0.621 -15.28957 9.125526 + house_eeo | -18.07654 7.681888 -2.35 0.019 -33.14136 -3.011711 + house_govreform | -3.894407 6.743618 -0.58 0.564 -17.1192 9.330391 + house_ir | .2661091 10.41571 0.03 0.980 -20.15998 20.69219 + house_natsecur | 13.20575 10.31863 1.28 0.201 -7.029954 33.44145 + house_oversight | 17.41901 9.489582 1.84 0.067 -1.190855 36.02887 + house_resources | -14.37321 6.777805 -2.12 0.034 -27.66505 -1.081369 + house_science | -1.374569 8.90913 -0.15 0.877 -18.84612 16.09698 + house_transp | 5.717676 7.720001 0.74 0.459 -9.421891 20.85724 + house_homeland | -10.03581 10.17248 -0.99 0.324 -29.98489 9.913279 + _cons | 14.7341 13.76539 1.07 0.285 -12.26099 41.72919 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,113 1 0 1 1 + + +j = 5 k = 1 + + +rdbwselect_2014 var_cosp_dwnom1_spons MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11931 +----------------------+---------------------- NN matches = 3 + Number of obs | 6120 5811 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 12.8116 24.00331 .5337432 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(7,341 missing values generated) +(54,749 missing values generated) +(47,408 real changes made) +reg var_cosp_dwnom1_spons sponsor_female i.v2 i.minor house_* [aw=wt] if tag_bill==1, robust cluster(group_sponsor) +(sum of wgt is 111,361.800142527) + +Linear regression Number of obs = 54,814 + F(268, 4356) = . + Prob > F = . + R-squared = 0.1235 + Root MSE = 102.96 + + (Std. Err. adjusted for 4,357 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + var_cosp_dwnom1_spons | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -5.92719 2.549452 -2.32 0.020 -10.92541 -.9289667 + | + v2 | + 102 | -.2427611 2.675019 -0.09 0.928 -5.48716 5.001638 + 103 | -2.668404 2.877756 -0.93 0.354 -8.310269 2.97346 + 104 | 8.520333 4.901906 1.74 0.082 -1.089897 18.13056 + 105 | 17.54385 4.336756 4.05 0.000 9.041601 26.0461 + 106 | 31.11548 5.208877 5.97 0.000 20.90343 41.32753 + 107 | 39.86911 5.533589 7.20 0.000 29.02046 50.71776 + 108 | 45.04307 5.024816 8.96 0.000 35.19187 54.89426 + 109 | 48.43527 6.040685 8.02 0.000 36.59245 60.27808 + 110 | 47.59292 5.630059 8.45 0.000 36.55514 58.6307 + 111 | 36.96502 5.012635 7.37 0.000 27.13771 46.79234 + | + minor | + 101 | 21.66326 21.92744 0.99 0.323 -21.32568 64.65221 + 103 | -21.74533 22.56582 -0.96 0.335 -65.98582 22.49516 + 104 | 3.063155 18.41749 0.17 0.868 -33.04449 39.1708 + 105 | 3.472801 14.07627 0.25 0.805 -24.12385 31.06945 + 107 | 11.93974 12.75275 0.94 0.349 -13.06213 36.94161 + 108 | 19.30406 17.74639 1.09 0.277 -15.4879 54.09601 + 110 | -48.07519 17.04955 -2.82 0.005 -81.50099 -14.6494 + 200 | 16.31578 14.22594 1.15 0.251 -11.5743 44.20586 + 201 | -36.11675 12.80416 -2.82 0.005 -61.21941 -11.01408 + 202 | 8.931738 13.57887 0.66 0.511 -17.68976 35.55324 + 204 | 3.119326 21.33737 0.15 0.884 -38.71278 44.95143 + 205 | 43.6933 32.01876 1.36 0.172 -19.07977 106.4664 + 206 | -33.74045 13.80395 -2.44 0.015 -60.80321 -6.677694 + 207 | 8.736735 12.8725 0.68 0.497 -16.49992 33.97339 + 208 | 13.75139 14.31734 0.96 0.337 -14.31788 41.82067 + 209 | -46.03991 18.84803 -2.44 0.015 -82.99163 -9.088183 + 299 | 34.22514 23.85342 1.43 0.151 -12.5397 80.98999 + 300 | 28.57668 17.76467 1.61 0.108 -6.251114 63.40448 + 301 | 23.34372 17.2843 1.35 0.177 -10.54231 57.22975 + 302 | 23.80116 13.47788 1.77 0.077 -2.622338 50.22465 + 321 | 52.22554 14.21018 3.68 0.000 24.36635 80.08472 + 322 | 35.85197 14.51511 2.47 0.014 7.394968 64.30897 + 323 | 19.11994 15.13195 1.26 0.206 -10.54638 48.78626 + 324 | 12.65213 14.66771 0.86 0.388 -16.10404 41.4083 + 325 | 33.78041 15.84933 2.13 0.033 2.707665 64.85315 + 331 | 60.78661 14.38442 4.23 0.000 32.58583 88.98739 + 332 | 30.35691 15.22317 1.99 0.046 .5117419 60.20208 + 333 | 31.12271 15.9251 1.95 0.051 -.0985834 62.344 + 334 | 49.87109 16.58576 3.01 0.003 17.35456 82.38761 + 335 | -6.658389 15.094 -0.44 0.659 -36.2503 22.93353 + 336 | 38.66369 15.1863 2.55 0.011 8.890808 68.43657 + 341 | 22.77576 13.82831 1.65 0.100 -4.334751 49.88628 + 342 | 45.06327 21.99109 2.05 0.041 1.949547 88.17699 + 343 | 37.63425 17.01434 2.21 0.027 4.27748 70.99102 + 344 | 20.02739 18.83532 1.06 0.288 -16.89942 56.9542 + 398 | 35.23722 19.13608 1.84 0.066 -2.279245 72.75368 + 399 | 35.26092 22.78694 1.55 0.122 -9.413075 79.93491 + 400 | 10.14897 22.75556 0.45 0.656 -34.46351 54.76145 + 401 | 28.62435 22.94912 1.25 0.212 -16.3676 73.6163 + 402 | 41.11496 17.04503 2.41 0.016 7.698034 74.53189 + 403 | 6.681296 17.75848 0.38 0.707 -28.13437 41.49696 + 404 | 57.10375 25.68002 2.22 0.026 6.757843 107.4497 + 405 | 36.63284 19.00427 1.93 0.054 -.6252086 73.89088 + 498 | 38.63006 19.07181 2.03 0.043 1.239599 76.02052 + 499 | 20.5886 26.02886 0.79 0.429 -30.4412 71.6184 + 500 | -3.027478 15.28928 -0.20 0.843 -33.00224 26.94728 + 501 | -2.61292 13.28387 -0.20 0.844 -28.65606 23.43022 + 502 | 9.208763 13.82979 0.67 0.506 -17.90466 36.32219 + 503 | .5531612 12.2074 0.05 0.964 -23.37956 24.48588 + 504 | -7.857178 14.55118 -0.54 0.589 -36.3849 20.67054 + 505 | -5.946297 12.72854 -0.47 0.640 -30.90072 19.00812 + 506 | 9.609858 14.87016 0.65 0.518 -19.54322 38.76294 + 508 | 7.758083 16.48845 0.47 0.638 -24.56766 40.08383 + 529 | 41.34024 16.53022 2.50 0.012 8.932601 73.74788 + 530 | 10.91653 13.32504 0.82 0.413 -15.20733 37.04038 + 599 | 24.87973 22.54978 1.10 0.270 -19.32931 69.08876 + 600 | 13.98794 19.91468 0.70 0.482 -25.05495 53.03084 + 601 | 30.02249 13.07214 2.30 0.022 4.394439 55.65055 + 602 | 10.75493 11.45951 0.94 0.348 -11.71154 33.22141 + 603 | 16.38417 14.4285 1.14 0.256 -11.90303 44.67138 + 604 | 35.93744 20.36171 1.76 0.078 -3.981875 75.85676 + 606 | 14.52038 18.35913 0.79 0.429 -21.47287 50.51362 + 607 | 32.94727 13.57922 2.43 0.015 6.325098 59.56944 + 609 | 29.64455 23.31927 1.27 0.204 -16.07308 75.36219 + 698 | 43.94394 44.59702 0.99 0.325 -43.48891 131.3768 + 699 | 70.08516 64.45973 1.09 0.277 -56.28871 196.459 + 700 | 7.088503 17.36359 0.41 0.683 -26.95298 41.12998 + 701 | 27.78505 14.23339 1.95 0.051 -.1196371 55.68974 + 703 | 30.58037 14.7761 2.07 0.039 1.611705 59.54903 + 704 | 17.52234 14.16381 1.24 0.216 -10.24593 45.29061 + 705 | 7.421246 16.68342 0.44 0.656 -25.28674 40.12923 + 707 | 7.523952 20.28278 0.37 0.711 -32.24062 47.28852 + 708 | -6.576141 16.20483 -0.41 0.685 -38.34585 25.19357 + 709 | 17.05423 17.23778 0.99 0.323 -16.74059 50.84905 + 710 | 43.72658 14.93459 2.93 0.003 14.44718 73.00598 + 711 | 29.43641 15.56999 1.89 0.059 -1.088701 59.96152 + 798 | 25.47668 15.5737 1.64 0.102 -5.055691 56.00904 + 799 | 78.27278 27.32692 2.86 0.004 24.69812 131.8474 + 800 | 4.550304 14.81238 0.31 0.759 -24.4895 33.59011 + 801 | 31.3584 19.8625 1.58 0.114 -7.582197 70.29899 + 802 | 42.13749 19.06834 2.21 0.027 4.753841 79.52114 + 803 | .1012246 14.42289 0.01 0.994 -28.17497 28.37742 + 805 | -25.99676 18.43133 -1.41 0.158 -62.13155 10.13803 + 806 | 33.47427 16.97891 1.97 0.049 .1869609 66.76158 + 807 | 45.35175 21.03167 2.16 0.031 4.118982 86.58452 + 898 | 8.498641 17.79122 0.48 0.633 -26.38119 43.37847 + 899 | -31.62141 21.00568 -1.51 0.132 -72.80323 9.560412 + 1000 | 38.46515 19.58046 1.96 0.050 .0774882 76.85281 + 1001 | 38.89869 17.99807 2.16 0.031 3.613314 74.18406 + 1002 | 55.06251 24.52844 2.24 0.025 6.974286 103.1507 + 1003 | 32.84344 15.16938 2.17 0.030 3.103743 62.58314 + 1005 | 169.9361 97.82373 1.74 0.082 -21.84817 361.7204 + 1006 | 66.13255 15.97101 4.14 0.000 34.82125 97.44386 + 1007 | 12.92425 13.90951 0.93 0.353 -14.34547 40.19396 + 1010 | -14.78238 16.08122 -0.92 0.358 -46.30974 16.74499 + 1098 | 16.7349 24.54253 0.68 0.495 -31.38094 64.85073 + 1099 | 21.97751 42.56264 0.52 0.606 -61.46691 105.4219 + 1200 | 34.08929 25.70603 1.33 0.185 -16.3076 84.48618 + 1201 | 51.35717 15.00888 3.42 0.001 21.93212 80.78222 + 1202 | 61.74992 29.17658 2.12 0.034 4.548981 118.9509 + 1203 | 31.89002 14.13753 2.26 0.024 4.173259 59.60678 + 1204 | 61.52647 24.43044 2.52 0.012 13.63037 109.4226 + 1205 | 17.46341 15.92385 1.10 0.273 -13.75544 48.68227 + 1206 | 45.93726 21.17554 2.17 0.030 4.422427 87.45209 + 1207 | 30.64021 18.95241 1.62 0.106 -6.516157 67.79657 + 1208 | 42.93311 11.9531 3.59 0.000 19.49896 66.36727 + 1209 | 7.385527 12.57098 0.59 0.557 -17.26 32.03105 + 1210 | 16.62805 14.00654 1.19 0.235 -10.8319 44.088 + 1211 | 16.67084 15.4141 1.08 0.280 -13.54863 46.89031 + 1299 | 22.35405 33.5656 0.67 0.505 -43.45161 88.1597 + 1300 | 1.514509 13.41053 0.11 0.910 -24.77695 27.80597 + 1301 | 12.7139 16.59605 0.77 0.444 -19.8228 45.25059 + 1302 | 4.791568 18.12774 0.26 0.792 -30.74803 40.33117 + 1303 | 18.86079 14.68431 1.28 0.199 -9.927933 47.64952 + 1304 | 31.08699 16.59239 1.87 0.061 -1.44253 63.61651 + 1305 | 36.86784 17.14711 2.15 0.032 3.250795 70.48489 + 1399 | 15.66628 46.27768 0.34 0.735 -75.06151 106.3941 + 1400 | 13.67982 16.89176 0.81 0.418 -19.43662 46.79626 + 1401 | 17.65232 14.63614 1.21 0.228 -11.04197 46.3466 + 1403 | 32.82378 16.58674 1.98 0.048 .3053284 65.34222 + 1404 | -1.553866 16.4845 -0.09 0.925 -33.87187 30.76413 + 1405 | 66.5021 23.49344 2.83 0.005 20.443 112.5612 + 1406 | 4.591376 23.35129 0.20 0.844 -41.18904 50.37179 + 1407 | 40.70047 21.44009 1.90 0.058 -1.33301 82.73395 + 1408 | 36.59692 24.40365 1.50 0.134 -11.24666 84.4405 + 1409 | 41.52307 22.83311 1.82 0.069 -3.241455 86.28758 + 1410 | 32.2755 21.40623 1.51 0.132 -9.691602 74.24261 + 1499 | -6.322845 22.2482 -0.28 0.776 -49.94063 37.29494 + 1500 | 6.083385 17.07481 0.36 0.722 -27.39193 39.5587 + 1501 | 37.03543 15.09212 2.45 0.014 7.447208 66.62366 + 1502 | 13.19393 13.65737 0.97 0.334 -13.58146 39.96933 + 1504 | 3.014622 14.74947 0.20 0.838 -25.90184 31.93109 + 1505 | 70.64922 22.0194 3.21 0.001 27.48 113.8184 + 1507 | 25.98054 36.79372 0.71 0.480 -46.15387 98.11496 + 1520 | 19.44739 15.84452 1.23 0.220 -11.61592 50.51071 + 1521 | 23.40057 13.29801 1.76 0.079 -2.670303 49.47144 + 1522 | 115.498 17.16461 6.73 0.000 81.84663 149.1494 + 1523 | -4.215075 17.56618 -0.24 0.810 -38.65373 30.22358 + 1524 | 38.84541 24.98085 1.56 0.120 -10.12975 87.82058 + 1525 | 25.27999 15.0103 1.68 0.092 -4.147831 54.70781 + 1526 | 59.032 17.09287 3.45 0.001 25.52129 92.54271 + 1599 | 42.12987 17.54942 2.40 0.016 7.724072 76.53566 + 1600 | 19.78124 20.06512 0.99 0.324 -19.55661 59.11909 + 1602 | 12.45518 18.00542 0.69 0.489 -22.84461 47.75496 + 1603 | -23.20113 18.55862 -1.25 0.211 -59.58547 13.18321 + 1604 | 4.151558 22.84293 0.18 0.856 -40.6322 48.93531 + 1605 | 14.86847 14.14037 1.05 0.293 -12.85384 42.59078 + 1606 | 52.61598 31.01423 1.70 0.090 -8.1877 113.4197 + 1608 | 16.10692 18.36982 0.88 0.381 -19.90728 52.12112 + 1609 | 39.81017 14.83547 2.68 0.007 10.7251 68.89525 + 1610 | 32.73602 22.76344 1.44 0.150 -11.89191 77.36394 + 1611 | 62.93673 25.64593 2.45 0.014 12.65766 113.2158 + 1612 | 39.65515 20.64754 1.92 0.055 -.8245253 80.13483 + 1614 | -5.977787 18.17782 -0.33 0.742 -41.61557 29.65999 + 1615 | 27.0312 21.65793 1.25 0.212 -15.42936 69.49176 + 1616 | 15.51187 25.3623 0.61 0.541 -34.21115 65.23488 + 1617 | -19.15134 16.18443 -1.18 0.237 -50.88106 12.57838 + 1619 | -24.54831 15.92972 -1.54 0.123 -55.77867 6.68204 + 1620 | 50.50274 25.98474 1.94 0.052 -.4405622 101.446 + 1698 | 27.61494 20.5942 1.34 0.180 -12.76017 67.99005 + 1699 | 47.65852 16.69271 2.86 0.004 14.93232 80.38472 + 1700 | 50.87891 22.48004 2.26 0.024 6.806602 94.95121 + 1701 | 73.36889 21.9674 3.34 0.001 30.3016 116.4362 + 1704 | 102.2532 21.38305 4.78 0.000 60.3315 144.1748 + 1705 | 42.73411 33.63799 1.27 0.204 -23.21346 108.6817 + 1706 | 50.42764 18.04491 2.79 0.005 15.05044 85.80483 + 1707 | 22.02789 17.83811 1.23 0.217 -12.94389 56.99967 + 1708 | 48.10094 18.84854 2.55 0.011 11.14821 85.05368 + 1709 | 90.15613 15.33915 5.88 0.000 60.08358 120.2287 + 1798 | 58.94674 19.91518 2.96 0.003 19.90286 97.99063 + 1799 | 61.94501 55.59322 1.11 0.265 -47.04599 170.936 + 1800 | 25.63877 18.51986 1.38 0.166 -10.66958 61.94712 + 1802 | 37.84012 15.969 2.37 0.018 6.532758 69.14749 + 1803 | 58.32358 17.76306 3.28 0.001 23.49894 93.14822 + 1804 | 72.39094 25.37315 2.85 0.004 22.64666 122.1352 + 1806 | 24.06274 15.55553 1.55 0.122 -6.434006 54.55949 + 1807 | -50.54723 12.26098 -4.12 0.000 -74.58498 -26.50948 + 1808 | 42.82906 32.90986 1.30 0.193 -21.69101 107.3491 + 1899 | -17.1824 26.18365 -0.66 0.512 -68.51568 34.15088 + 1900 | 56.88636 21.63143 2.63 0.009 14.47776 99.29496 + 1901 | 38.89648 25.52333 1.52 0.128 -11.14222 88.93519 + 1902 | 77.46007 19.90165 3.89 0.000 38.44271 116.4774 + 1905 | 6.939113 16.53057 0.42 0.675 -25.46921 39.34743 + 1906 | 58.13752 20.10545 2.89 0.004 18.72062 97.55442 + 1907 | 31.69755 34.27968 0.92 0.355 -35.50807 98.90316 + 1908 | 47.16514 19.29593 2.44 0.015 9.335302 84.99497 + 1909 | 61.49735 18.04038 3.41 0.001 26.12902 96.86568 + 1910 | 27.67874 18.92447 1.46 0.144 -9.422852 64.78032 + 1911 | 68.56991 38.82173 1.77 0.077 -7.540432 144.6803 + 1912 | -29.85662 14.61281 -2.04 0.041 -58.50516 -1.208085 + 1914 | 11.95989 18.69198 0.64 0.522 -24.68591 48.60569 + 1915 | 64.87691 29.51256 2.20 0.028 7.017277 122.7365 + 1919 | 99.31273 34.02736 2.92 0.004 32.60179 166.0237 + 1920 | 51.2368 17.12955 2.99 0.003 17.65415 84.81944 + 1925 | 47.94722 12.43648 3.86 0.000 23.56538 72.32906 + 1926 | 2.119959 10.98935 0.19 0.847 -19.42475 23.66467 + 1927 | 5.157545 18.14742 0.28 0.776 -30.42062 40.73571 + 1929 | 27.87295 18.03884 1.55 0.122 -7.492353 63.23825 + 1999 | 139.925 95.05539 1.47 0.141 -46.43194 326.2819 + 2000 | 1.760155 13.50026 0.13 0.896 -24.70722 28.22753 + 2001 | 8.285837 17.37682 0.48 0.634 -25.78157 42.35324 + 2002 | 19.537 14.6907 1.33 0.184 -9.264249 48.33824 + 2003 | 57.67487 15.75344 3.66 0.000 26.79012 88.55963 + 2004 | 20.71089 13.80078 1.50 0.134 -6.345653 47.76743 + 2005 | 37.59848 28.70224 1.31 0.190 -18.67251 93.86948 + 2006 | 156.7291 30.33634 5.17 0.000 97.25447 216.2038 + 2007 | -5.661626 16.78196 -0.34 0.736 -38.5628 27.23954 + 2008 | 96.27095 13.56049 7.10 0.000 69.68549 122.8564 + 2009 | 9.585478 18.02848 0.53 0.595 -25.75952 44.93048 + 2010 | -61.68991 12.98724 -4.75 0.000 -87.1515 -36.22832 + 2011 | 17.62573 14.29933 1.23 0.218 -10.40824 45.65969 + 2012 | -9.194906 13.31365 -0.69 0.490 -35.29643 16.90661 + 2013 | 11.20803 17.51335 0.64 0.522 -23.12704 45.5431 + 2014 | 48.02804 18.38172 2.61 0.009 11.99053 84.06555 + 2015 | 61.23364 28.71649 2.13 0.033 4.934717 117.5326 + 2030 | 38.46257 19.79124 1.94 0.052 -.3383191 77.26347 + 2099 | 33.53655 18.94122 1.77 0.077 -3.597881 70.67098 + 2100 | -12.11917 15.84509 -0.76 0.444 -43.1836 18.94527 + 2101 | 42.17193 15.65518 2.69 0.007 11.47982 72.86405 + 2102 | 45.55721 16.02288 2.84 0.004 14.14421 76.9702 + 2103 | 29.13956 19.86837 1.47 0.143 -9.812556 68.09168 + 2104 | 20.58178 15.16434 1.36 0.175 -9.148042 50.3116 + 2105 | 31.48917 21.86722 1.44 0.150 -11.38171 74.36005 + 2199 | -22.43516 32.20078 -0.70 0.486 -85.56506 40.69474 + 9999 | 6.508137 15.98829 0.41 0.684 -24.83704 37.85331 + | + house_administration | -11.02693 6.767473 -1.63 0.103 -24.29462 2.240759 + house_agriculture | 5.478345 5.836299 0.94 0.348 -5.963771 16.92046 + house_appropriations | -35.40743 8.856572 -4.00 0.000 -52.77081 -18.04404 + house_armedservices | 1.430239 7.983833 0.18 0.858 -14.22214 17.08261 + house_budget | -11.55972 9.063064 -1.28 0.202 -29.32793 6.208499 + house_dc | 2.462472 15.98614 0.15 0.878 -28.87849 33.80344 + house_educlabor | -16.54249 3.866826 -4.28 0.000 -24.12344 -8.961548 + house_energycommerce | -7.171256 3.631261 -1.97 0.048 -14.29037 -.0521373 + house_foreignaffairs | -4.94329 8.159883 -0.61 0.545 -20.94081 11.05423 + house_governmentop | -2.661696 5.681441 -0.47 0.639 -13.80021 8.47682 + house_intelligence | -3.81863 11.92082 -0.32 0.749 -27.18951 19.55225 + house_interior | -8.795397 7.749184 -1.14 0.256 -23.98774 6.396946 + house_judiciary | 4.676666 3.079678 1.52 0.129 -1.36107 10.7144 + house_mmf | 8.970243 17.02481 0.53 0.598 -24.40705 42.34754 + house_pocs | -3.318817 3.541202 -0.94 0.349 -10.26137 3.623739 + house_pwt | -7.105887 6.460511 -1.10 0.271 -19.77178 5.560002 + house_rules | 7.506199 10.90259 0.69 0.491 -13.86842 28.88082 + house_sst | 6.256042 8.059496 0.78 0.438 -9.544671 22.05675 + house_smallbusi | -8.880084 8.247249 -1.08 0.282 -25.04889 7.28872 + house_soc | 9.063651 18.16368 0.50 0.618 -26.5464 44.6737 + house_veterans | 8.162757 6.05389 1.35 0.178 -3.705947 20.03146 + house_waysandmeans | 6.396153 2.919998 2.19 0.029 .6714706 12.12084 +house_naturalresources | -12.65653 9.643998 -1.31 0.189 -31.56367 6.250611 + house_bfs | -2.277743 3.603764 -0.63 0.527 -9.342953 4.787467 + house_eeo | -19.79049 5.336826 -3.71 0.000 -30.25339 -9.327596 + house_govreform | -6.092962 3.653032 -1.67 0.095 -13.25476 1.068839 + house_ir | 5.647832 7.062466 0.80 0.424 -8.198194 19.49386 + house_natsecur | 3.336202 7.006192 0.48 0.634 -10.3995 17.0719 + house_oversight | 7.046984 6.37556 1.11 0.269 -5.452357 19.54633 + house_resources | -6.519052 7.087083 -0.92 0.358 -20.41334 7.375237 + house_science | -.4389249 6.882094 -0.06 0.949 -13.93133 13.05348 + house_transp | -11.55645 9.168423 -1.26 0.208 -29.53122 6.418327 + house_homeland | -10.40549 8.087229 -1.29 0.198 -26.26057 5.449596 + _cons | 36.15551 12.7059 2.85 0.004 11.24548 61.06554 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,344 1 0 1 1 + + +j = 5 k = 2 + + +rdbwselect_2014 var_cosp_dwnom1_spons MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6150 +----------------------+---------------------- NN matches = 3 + Number of obs | 2174 3976 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 23.19646 41.38236 .5605399 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(7,341 missing values generated) +(54,749 missing values generated) +(47,408 real changes made) +reg var_cosp_dwnom1_spons sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==100 & tag_bill==1, robust cluster(group_sponsor) +(sum of wgt is 58,841.1693130732) + +Linear regression Number of obs = 29,248 + F(268, 2263) = . + Prob > F = . + R-squared = 0.1378 + Root MSE = 99.116 + + (Std. Err. adjusted for 2,264 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + var_cosp_dwnom1_spons | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -4.624175 3.169869 -1.46 0.145 -10.84033 1.591979 + | + v2 | + 102 | -1.127579 3.143762 -0.36 0.720 -7.292538 5.037379 + 103 | 1.480745 3.072007 0.48 0.630 -4.543501 7.504991 + 104 | -1.948018 5.460435 -0.36 0.721 -12.656 8.759964 + 105 | 6.670098 5.417722 1.23 0.218 -3.954124 17.29432 + 106 | 12.31935 5.335708 2.31 0.021 1.855959 22.78274 + 107 | 21.92089 7.18696 3.05 0.002 7.82717 36.01461 + 108 | 22.58247 6.020823 3.75 0.000 10.77556 34.38938 + 109 | 23.01489 8.898293 2.59 0.010 5.565224 40.46456 + 110 | 51.01126 6.262511 8.15 0.000 38.73039 63.29212 + 111 | 39.01978 5.683445 6.87 0.000 27.87448 50.16509 + | + minor | + 101 | -1.369177 31.05003 -0.04 0.965 -62.25868 59.52032 + 103 | -38.53289 20.63953 -1.87 0.062 -79.00728 1.941506 + 104 | -21.7243 20.14545 -1.08 0.281 -61.22978 17.78118 + 105 | -25.69109 19.87065 -1.29 0.196 -64.65769 13.27551 + 107 | 4.618547 19.28362 0.24 0.811 -33.19688 42.43398 + 108 | 3.240205 24.12391 0.13 0.893 -44.06709 50.5475 + 110 | -68.70896 18.53768 -3.71 0.000 -105.0616 -32.35634 + 200 | -11.53193 18.82071 -0.61 0.540 -48.43959 25.37573 + 201 | -47.15993 18.3319 -2.57 0.010 -83.10902 -11.21083 + 202 | -10.96716 19.54369 -0.56 0.575 -49.29259 27.35827 + 204 | 23.94757 24.09989 0.99 0.320 -23.31263 71.20777 + 205 | 88.36295 47.07119 1.88 0.061 -3.944259 180.6702 + 206 | -51.35085 19.63464 -2.62 0.009 -89.85463 -12.84706 + 207 | 3.669651 18.9606 0.19 0.847 -33.51232 40.85163 + 208 | -4.282403 19.64017 -0.22 0.827 -42.79702 34.23222 + 209 | -58.58091 25.12632 -2.33 0.020 -107.8539 -9.30787 + 299 | -18.73499 45.25914 -0.41 0.679 -107.4887 70.01877 + 300 | -1.780937 23.3633 -0.08 0.939 -47.59667 44.0348 + 301 | 18.7836 21.28429 0.88 0.378 -22.95518 60.52237 + 302 | 4.156553 18.92218 0.22 0.826 -32.95009 41.2632 + 321 | 9.812631 19.7596 0.50 0.620 -28.93619 48.56146 + 322 | 4.495776 19.9401 0.23 0.822 -34.60702 43.59857 + 323 | 7.295451 21.13341 0.35 0.730 -34.14743 48.73833 + 324 | -5.199687 19.66826 -0.26 0.792 -43.76939 33.37002 + 325 | 26.75185 20.23006 1.32 0.186 -12.91955 66.42325 + 331 | 21.38283 19.34642 1.11 0.269 -16.55576 59.32141 + 332 | 16.13129 20.89258 0.77 0.440 -24.83933 57.1019 + 333 | 5.485141 21.48443 0.26 0.799 -36.64609 47.61637 + 334 | 26.87402 19.97074 1.35 0.179 -12.28885 66.03689 + 335 | -19.72508 19.21805 -1.03 0.305 -57.41192 17.96176 + 336 | 21.5329 18.96895 1.14 0.256 -15.66545 58.73125 + 341 | 5.678105 18.93223 0.30 0.764 -31.44823 42.80445 + 342 | 28.46225 27.05016 1.05 0.293 -24.58345 81.50796 + 343 | 21.26156 22.09125 0.96 0.336 -22.05966 64.58278 + 344 | 1.740914 22.8413 0.08 0.939 -43.05117 46.53299 + 398 | 13.90989 19.33154 0.72 0.472 -23.99951 51.81929 + 399 | 2.570538 22.84113 0.11 0.910 -42.22122 47.3623 + 400 | 4.506827 30.35392 0.15 0.882 -55.0176 64.03126 + 401 | 16.30992 31.94288 0.51 0.610 -46.33048 78.95032 + 402 | 37.69692 25.34012 1.49 0.137 -11.99539 87.38922 + 403 | -14.84546 22.29432 -0.67 0.506 -58.56491 28.87398 + 404 | 38.79548 40.4652 0.96 0.338 -40.55729 118.1483 + 405 | 11.6858 24.64486 0.47 0.635 -36.64309 60.01469 + 498 | 11.47389 24.63522 0.47 0.641 -36.83609 59.78388 + 499 | 16.97307 42.17035 0.40 0.687 -65.72353 99.66967 + 500 | -30.48521 19.30629 -1.58 0.114 -68.3451 7.374679 + 501 | -16.85549 18.59511 -0.91 0.365 -53.32074 19.60977 + 502 | -12.06022 18.69549 -0.65 0.519 -48.72232 24.60188 + 503 | -17.85086 17.84815 -1.00 0.317 -52.85132 17.1496 + 504 | -23.38624 18.22519 -1.28 0.200 -59.12607 12.35358 + 505 | -15.4834 18.81189 -0.82 0.411 -52.37376 21.40695 + 506 | -7.633786 20.21552 -0.38 0.706 -47.27668 32.00911 + 508 | -14.27249 19.5478 -0.73 0.465 -52.60598 24.06099 + 529 | 34.21585 21.77233 1.57 0.116 -8.479973 76.91168 + 530 | -1.937195 19.0718 -0.10 0.919 -39.33724 35.46285 + 599 | 19.83931 35.45022 0.56 0.576 -49.67903 89.35765 + 600 | 9.670416 28.92976 0.33 0.738 -47.06122 66.40205 + 601 | 10.07094 18.89328 0.53 0.594 -26.97902 47.12091 + 602 | -13.5693 17.91326 -0.76 0.449 -48.69743 21.55884 + 603 | -6.734994 19.19254 -0.35 0.726 -44.37181 30.90182 + 604 | 18.59141 25.1685 0.74 0.460 -30.76434 67.94717 + 606 | -3.890663 21.3382 -0.18 0.855 -45.73514 37.95382 + 607 | 5.003678 18.85906 0.27 0.791 -31.97918 41.98654 + 609 | -5.578904 26.40802 -0.21 0.833 -57.36538 46.20757 + 698 | 51.81864 48.89353 1.06 0.289 -44.0622 147.6995 + 699 | 74.42949 65.26275 1.14 0.254 -53.5516 202.4106 + 700 | -1.28289 21.62122 -0.06 0.953 -43.68239 41.11661 + 701 | 5.589759 20.13928 0.28 0.781 -33.90362 45.08314 + 703 | 5.067564 19.41161 0.26 0.794 -32.99885 43.13398 + 704 | -5.865871 19.46936 -0.30 0.763 -44.04553 32.31378 + 705 | -15.15626 21.99065 -0.69 0.491 -58.2802 27.96768 + 707 | 18.59377 23.61916 0.79 0.431 -27.72371 64.91125 + 708 | -36.15391 21.52299 -1.68 0.093 -78.36077 6.052949 + 709 | 19.41653 21.48937 0.90 0.366 -22.7244 61.55746 + 710 | 23.97724 22.17316 1.08 0.280 -19.50461 67.45909 + 711 | 2.496887 19.88005 0.13 0.900 -36.48815 41.48193 + 798 | -9.419387 20.68954 -0.46 0.649 -49.99184 31.15307 + 799 | 27.18985 21.17285 1.28 0.199 -14.33038 68.71007 + 800 | -11.48467 20.47749 -0.56 0.575 -51.64129 28.67195 + 801 | 21.77448 24.54665 0.89 0.375 -26.36183 69.91078 + 802 | 5.669199 20.20061 0.28 0.779 -33.94445 45.28285 + 803 | -7.463017 19.68476 -0.38 0.705 -46.06509 31.13905 + 805 | 15.84517 29.06812 0.55 0.586 -41.1578 72.84813 + 806 | 6.062489 19.97408 0.30 0.762 -33.10694 45.23192 + 807 | 23.37056 24.64313 0.95 0.343 -24.95493 71.69605 + 898 | -21.46945 23.73423 -0.90 0.366 -68.01258 25.07369 + 899 | -52.36999 21.00104 -2.49 0.013 -93.5533 -11.18668 + 1000 | 25.35739 27.65188 0.92 0.359 -28.86831 79.58309 + 1001 | -11.0956 23.82791 -0.47 0.642 -57.82243 35.63123 + 1002 | 45.23307 38.31664 1.18 0.238 -29.90635 120.3725 + 1003 | 21.06744 19.60623 1.07 0.283 -17.38063 59.5155 + 1005 | 225.4588 105.3008 2.14 0.032 18.96265 431.9549 + 1006 | 15.66942 20.90599 0.75 0.454 -25.32749 56.66633 + 1007 | 20.92011 20.20362 1.04 0.301 -18.69945 60.53967 + 1010 | -27.34473 20.76014 -1.32 0.188 -68.05563 13.36617 + 1098 | -11.67798 23.51263 -0.50 0.619 -57.78656 34.43059 + 1099 | 74.86922 47.67394 1.57 0.116 -18.62 168.3584 + 1200 | 6.866866 28.7195 0.24 0.811 -49.45245 63.18618 + 1201 | 18.91704 20.74784 0.91 0.362 -21.76974 59.60383 + 1202 | 70.11171 40.24756 1.74 0.082 -8.814271 149.0377 + 1203 | 25.12604 20.71652 1.21 0.225 -15.49933 65.75141 + 1204 | 47.6465 29.84366 1.60 0.111 -10.8773 106.1703 + 1205 | -4.324245 23.5823 -0.18 0.855 -50.56944 41.92095 + 1206 | -6.122838 20.40815 -0.30 0.764 -46.14347 33.8978 + 1207 | 10.81323 24.93217 0.43 0.665 -38.07908 59.70554 + 1208 | 12.52367 22.68627 0.55 0.581 -31.9644 57.01175 + 1209 | -19.19811 18.13881 -1.06 0.290 -54.76854 16.37232 + 1210 | -12.58381 19.87583 -0.63 0.527 -51.56056 26.39295 + 1211 | -10.25101 20.18453 -0.51 0.612 -49.83312 29.33111 + 1299 | -19.3971 34.21655 -0.57 0.571 -86.49619 47.70199 + 1300 | -10.16651 18.83648 -0.54 0.589 -47.10509 26.77206 + 1301 | -19.55271 19.77591 -0.99 0.323 -58.33353 19.22811 + 1302 | -18.23526 22.01334 -0.83 0.408 -61.40371 24.93319 + 1303 | -19.33132 18.09518 -1.07 0.285 -54.8162 16.15356 + 1304 | 11.43531 22.22053 0.51 0.607 -32.13943 55.01005 + 1305 | 8.547272 22.42911 0.38 0.703 -35.43651 52.53105 + 1399 | 55.08912 90.91994 0.61 0.545 -123.206 233.3843 + 1400 | -2.634191 20.32883 -0.13 0.897 -42.49929 37.23091 + 1401 | -.9329008 19.59153 -0.05 0.962 -39.35214 37.48634 + 1403 | -11.05072 18.79623 -0.59 0.557 -47.91037 25.80893 + 1404 | -37.08486 21.14888 -1.75 0.080 -78.55809 4.388375 + 1405 | 50.09836 27.48385 1.82 0.068 -3.797813 103.9945 + 1406 | -24.91923 28.43976 -0.88 0.381 -80.68997 30.85151 + 1407 | 21.89874 22.06901 0.99 0.321 -21.37888 65.17635 + 1408 | -7.917856 18.39194 -0.43 0.667 -43.98469 28.14898 + 1409 | 3.321905 22.19986 0.15 0.881 -40.21231 46.85612 + 1410 | -12.54327 23.50343 -0.53 0.594 -58.63379 33.54726 + 1499 | -21.75571 29.00392 -0.75 0.453 -78.63276 35.12135 + 1500 | -20.0788 21.39009 -0.94 0.348 -62.02503 21.86743 + 1501 | -1.221695 20.26353 -0.06 0.952 -40.95874 38.51535 + 1502 | -4.44831 19.05887 -0.23 0.815 -41.82299 32.92637 + 1504 | 2.298898 22.37483 0.10 0.918 -41.57843 46.17622 + 1505 | 28.48938 27.07551 1.05 0.293 -24.60604 81.5848 + 1507 | 22.55945 53.00393 0.43 0.670 -81.38193 126.5008 + 1520 | -5.03996 21.3026 -0.24 0.813 -46.81463 36.73471 + 1521 | -11.85231 19.79783 -0.60 0.549 -50.6761 26.97148 + 1522 | 100.6628 24.63147 4.09 0.000 52.36018 148.9654 + 1523 | -26.30513 22.48411 -1.17 0.242 -70.39675 17.7865 + 1524 | 38.70484 31.8108 1.22 0.224 -23.67654 101.0862 + 1525 | 4.823583 20.46253 0.24 0.814 -35.3037 44.95086 + 1526 | 18.56909 22.05358 0.84 0.400 -24.67827 61.81644 + 1599 | 2.797285 21.01703 0.13 0.894 -38.41738 44.01195 + 1600 | 28.3325 36.81638 0.77 0.442 -43.86489 100.5299 + 1602 | 6.421873 21.95456 0.29 0.770 -36.6313 49.47505 + 1603 | -50.69059 27.92127 -1.82 0.070 -105.4446 4.063378 + 1604 | -12.25851 23.77641 -0.52 0.606 -58.88436 34.36733 + 1605 | 6.203771 21.05731 0.29 0.768 -35.08989 47.49743 + 1606 | 34.14518 31.6648 1.08 0.281 -27.94991 96.24026 + 1608 | 3.675803 20.05777 0.18 0.855 -35.65774 43.00934 + 1609 | 30.37114 21.34176 1.42 0.155 -11.48034 72.22261 + 1610 | 21.3822 28.08392 0.76 0.447 -33.69072 76.45512 + 1611 | 57.87042 27.73493 2.09 0.037 3.481856 112.259 + 1612 | -8.222179 21.29498 -0.39 0.699 -49.9819 33.53754 + 1614 | 10.36376 23.52588 0.44 0.660 -35.77079 56.4983 + 1615 | 11.88399 25.8322 0.46 0.646 -38.77329 62.54127 + 1616 | 36.878 24.35477 1.51 0.130 -10.88202 84.63802 + 1617 | -38.53778 21.90719 -1.76 0.079 -81.49807 4.422506 + 1619 | -24.18243 23.80873 -1.02 0.310 -70.87165 22.50679 + 1620 | 52.06398 35.35935 1.47 0.141 -17.27617 121.4041 + 1698 | -2.832821 28.5925 -0.10 0.921 -58.90309 53.23745 + 1699 | 31.62428 20.1915 1.57 0.117 -7.97151 71.22007 + 1700 | 35.45091 30.91846 1.15 0.252 -25.18059 96.08241 + 1701 | 56.35455 26.8901 2.10 0.036 3.62272 109.0864 + 1704 | 84.11872 41.77954 2.01 0.044 2.188509 166.0489 + 1705 | 33.97398 54.64303 0.62 0.534 -73.18169 141.1297 + 1706 | 11.87157 20.02641 0.59 0.553 -27.40047 51.14361 + 1707 | 4.083818 23.59085 0.17 0.863 -42.17814 50.34578 + 1708 | 27.68601 23.11214 1.20 0.231 -17.63719 73.00922 + 1709 | 56.9041 24.24565 2.35 0.019 9.358062 104.4501 + 1798 | 18.70383 25.65106 0.73 0.466 -31.59824 69.00589 + 1799 | 66.99357 76.33968 0.88 0.380 -82.70953 216.6967 + 1800 | 3.893291 25.43579 0.15 0.878 -45.98662 53.77321 + 1802 | 8.228604 21.02206 0.39 0.696 -32.99592 49.45312 + 1803 | 31.55506 24.14263 1.31 0.191 -15.78894 78.89907 + 1804 | 24.38427 31.82968 0.77 0.444 -38.03413 86.80267 + 1806 | 30.10346 22.69137 1.33 0.185 -14.39461 74.60154 + 1807 | -49.72825 18.82343 -2.64 0.008 -86.64124 -12.81526 + 1808 | 76.68707 39.48319 1.94 0.052 -.7399729 154.1141 + 1899 | -43.38908 20.42346 -2.12 0.034 -83.43975 -3.338405 + 1900 | 32.78727 30.63166 1.07 0.285 -27.28181 92.85635 + 1901 | 51.58896 41.93275 1.23 0.219 -30.64169 133.8196 + 1902 | 76.03982 28.10098 2.71 0.007 20.93345 131.1462 + 1905 | -2.754343 21.86548 -0.13 0.900 -45.63282 40.12414 + 1906 | 54.67609 38.08951 1.44 0.151 -20.01794 129.3701 + 1907 | 50.87841 32.61653 1.56 0.119 -13.08303 114.8398 + 1908 | 20.67527 24.62294 0.84 0.401 -27.61062 68.96117 + 1909 | 23.22275 26.20738 0.89 0.376 -28.17025 74.61575 + 1910 | -11.35914 23.95901 -0.47 0.635 -58.34306 35.62477 + 1911 | 83.22986 57.04983 1.46 0.145 -28.64558 195.1053 + 1912 | -62.27839 20.77682 -3.00 0.003 -103.022 -21.53478 + 1914 | -28.28925 22.89061 -1.24 0.217 -73.17803 16.59953 + 1915 | 73.50569 32.17409 2.28 0.022 10.41189 136.5995 + 1919 | 173.7499 111.1134 1.56 0.118 -44.14492 391.6448 + 1920 | 35.12191 24.01118 1.46 0.144 -11.96432 82.20814 + 1925 | 7.933303 19.18052 0.41 0.679 -29.67993 45.54654 + 1926 | 15.3329 24.71238 0.62 0.535 -33.1284 63.7942 + 1927 | -26.70982 21.12004 -1.26 0.206 -68.12649 14.70685 + 1929 | 38.00129 26.85779 1.41 0.157 -14.66718 90.66976 + 1999 | 253.4788 155.519 1.63 0.103 -51.496 558.4536 + 2000 | -12.89977 18.13162 -0.71 0.477 -48.45612 22.65657 + 2001 | -11.40238 19.70204 -0.58 0.563 -50.03833 27.23357 + 2002 | 2.050711 22.37393 0.09 0.927 -41.82485 45.92627 + 2003 | 23.73088 20.9808 1.13 0.258 -17.41274 64.8745 + 2004 | 7.184602 19.00015 0.38 0.705 -30.07494 44.44415 + 2005 | 82.28906 53.58892 1.54 0.125 -22.7995 187.3776 + 2006 | 155.0456 42.0628 3.69 0.000 72.55987 237.5313 + 2007 | -19.77483 23.16042 -0.85 0.393 -65.19271 25.64305 + 2008 | 86.4949 19.54873 4.42 0.000 48.15959 124.8302 + 2009 | 4.961576 26.83104 0.18 0.853 -47.65443 57.57759 + 2010 | -83.56653 18.91638 -4.42 0.000 -120.6618 -46.47128 + 2011 | 12.58643 22.6764 0.56 0.579 -31.88227 57.05514 + 2012 | -25.37141 18.94663 -1.34 0.181 -62.52599 11.78316 + 2013 | -3.755364 21.80983 -0.17 0.863 -46.52471 39.01399 + 2014 | 56.45242 27.65646 2.04 0.041 2.217747 110.6871 + 2015 | 58.86317 41.89659 1.40 0.160 -23.29658 141.0229 + 2030 | 23.38049 36.68328 0.64 0.524 -48.5559 95.31687 + 2099 | 27.51802 25.45574 1.08 0.280 -22.40101 77.43705 + 2100 | -15.99273 21.20606 -0.75 0.451 -57.57809 25.59264 + 2101 | 23.4275 19.64555 1.19 0.233 -15.09767 61.95267 + 2102 | 19.74117 19.58827 1.01 0.314 -18.67167 58.15401 + 2103 | 25.13954 25.86498 0.97 0.331 -25.58202 75.86111 + 2104 | 7.655757 19.98657 0.38 0.702 -31.53816 46.84967 + 2105 | 1.93879 32.22022 0.06 0.952 -61.24547 65.12305 + 2199 | -52.42388 20.20359 -2.59 0.010 -92.04338 -12.80438 + 9999 | 10.64266 22.88089 0.47 0.642 -34.22706 55.51239 + | + house_administration | -3.45499 8.547129 -0.40 0.686 -20.21602 13.30604 + house_agriculture | 5.774296 7.742504 0.75 0.456 -9.408855 20.95745 + house_appropriations | -42.0982 8.835361 -4.76 0.000 -59.42446 -24.77195 + house_armedservices | -7.371671 7.461629 -0.99 0.323 -22.00402 7.260678 + house_budget | -21.75254 11.89557 -1.83 0.068 -45.07991 1.574833 + house_dc | -13.67542 22.29746 -0.61 0.540 -57.40102 30.05018 + house_educlabor | -18.57922 3.359066 -5.53 0.000 -25.16639 -11.99205 + house_energycommerce | -11.1465 3.390992 -3.29 0.001 -17.79628 -4.496724 + house_foreignaffairs | 2.940296 8.317101 0.35 0.724 -13.36965 19.25024 + house_governmentop | -7.540118 6.057377 -1.24 0.213 -19.41871 4.338477 + house_intelligence | 23.90783 13.66669 1.75 0.080 -2.892731 50.7084 + house_interior | -16.28244 9.38936 -1.73 0.083 -34.69509 2.130218 + house_judiciary | 6.601723 3.907271 1.69 0.091 -1.060486 14.26393 + house_mmf | 3.821146 17.94863 0.21 0.831 -31.37634 39.01863 + house_pocs | -3.792653 5.598643 -0.68 0.498 -14.77166 7.186358 + house_pwt | -7.066335 8.076595 -0.87 0.382 -22.90464 8.771971 + house_rules | 35.81094 16.79998 2.13 0.033 2.865957 68.75591 + house_sst | 12.35318 9.817865 1.26 0.208 -6.899782 31.60614 + house_smallbusi | -7.5052 10.0645 -0.75 0.456 -27.24182 12.23142 + house_soc | -.4282822 30.55092 -0.01 0.989 -60.33903 59.48246 + house_veterans | .7613482 5.268588 0.14 0.885 -9.570421 11.09312 + house_waysandmeans | 6.035576 2.888195 2.09 0.037 .3717894 11.69936 +house_naturalresources | -27.84028 8.732545 -3.19 0.001 -44.96492 -10.71565 + house_bfs | -4.211759 4.624143 -0.91 0.362 -13.27976 4.856245 + house_eeo | -11.81192 5.678693 -2.08 0.038 -22.94791 -.6759332 + house_govreform | -1.441915 4.743955 -0.30 0.761 -10.74487 7.861042 + house_ir | -3.05763 10.91888 -0.28 0.779 -24.46969 18.35443 + house_natsecur | 5.875269 8.508288 0.69 0.490 -10.80959 22.56013 + house_oversight | -8.2413 7.895007 -1.04 0.297 -23.72351 7.24091 + house_resources | 4.615905 9.131774 0.51 0.613 -13.29162 22.52343 + house_science | -2.341675 7.550181 -0.31 0.756 -17.14768 12.46433 + house_transp | -16.87993 8.610475 -1.96 0.050 -33.76518 .0053214 + house_homeland | -3.789298 10.16236 -0.37 0.709 -23.71781 16.13921 + _cons | 51.38573 17.87382 2.87 0.004 16.33495 86.43652 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,259 1 0 1 1 + + +j = 5 k = 3 + + +rdbwselect_2014 var_cosp_dwnom1_spons MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5781 +----------------------+---------------------- NN matches = 3 + Number of obs | 3946 1835 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 15.59014 26.3136 .5924746 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(13,828 missing values generated) +(55,922 missing values generated) +(42,094 real changes made) +reg var_cosp_dwnom1_spons sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==200 & tag_bill==1, robust cluster(group_sponsor) +(sum of wgt is 35,771.7017902136) + +Linear regression Number of obs = 23,748 + F(267, 1952) = . + Prob > F = . + R-squared = 0.1550 + Root MSE = 111.85 + + (Std. Err. adjusted for 1,953 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + var_cosp_dwnom1_spons | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 2.675862 4.510357 0.59 0.553 -6.169761 11.52148 + | + v2 | + 102 | 2.813785 4.271984 0.66 0.510 -5.564344 11.19191 + 103 | 2.275521 4.554653 0.50 0.617 -6.656973 11.20802 + 104 | 16.16792 5.681682 2.85 0.004 5.025118 27.31072 + 105 | 26.47375 4.736915 5.59 0.000 17.18381 35.7637 + 106 | 46.90004 6.091406 7.70 0.000 34.9537 58.84639 + 107 | 57.75204 4.894211 11.80 0.000 48.15361 67.35047 + 108 | 67.98289 7.001413 9.71 0.000 54.25186 81.71392 + 109 | 68.50599 6.896307 9.93 0.000 54.98109 82.03089 + 110 | 37.41668 8.030746 4.66 0.000 21.66695 53.16642 + 111 | 37.15217 7.702009 4.82 0.000 22.04715 52.2572 + | + minor | + 101 | 22.62963 25.58601 0.88 0.377 -27.54914 72.8084 + 103 | 87.20311 63.33904 1.38 0.169 -37.01614 211.4224 + 104 | 20.44653 24.8909 0.82 0.411 -28.369 69.26206 + 105 | 27.23844 20.15884 1.35 0.177 -12.29668 66.77356 + 107 | 20.37223 17.72407 1.15 0.251 -14.38787 55.13234 + 108 | 54.59036 31.2298 1.75 0.081 -6.656909 115.8376 + 110 | -42.00989 22.15046 -1.90 0.058 -85.45092 1.431148 + 200 | 42.47585 22.40526 1.90 0.058 -1.464899 86.4166 + 201 | .5963164 41.07304 0.01 0.988 -79.95531 81.14795 + 202 | 29.93444 25.40783 1.18 0.239 -19.8949 79.76377 + 204 | 60.21759 33.23237 1.81 0.070 -4.957065 125.3923 + 205 | 1.401287 43.73562 0.03 0.974 -84.37214 87.17472 + 206 | -13.99282 19.46451 -0.72 0.472 -52.16622 24.18059 + 207 | 13.74671 17.94335 0.77 0.444 -21.44342 48.93685 + 208 | 31.01797 20.34123 1.52 0.127 -8.874839 70.91078 + 209 | -84.38736 18.93411 -4.46 0.000 -121.5206 -47.25416 + 299 | 56.83146 24.99224 2.27 0.023 7.817177 105.8457 + 300 | 66.89308 25.4379 2.63 0.009 17.00477 116.7814 + 301 | 41.65958 23.52074 1.77 0.077 -4.468823 87.78797 + 302 | 37.76564 18.92551 2.00 0.046 .6493141 74.88197 + 321 | 79.244 21.92063 3.62 0.000 36.2537 122.2343 + 322 | 101.7937 25.97078 3.92 0.000 50.86034 152.7271 + 323 | 45.5354 19.62446 2.32 0.020 7.04831 84.02249 + 324 | 27.54554 20.57424 1.34 0.181 -12.80425 67.89534 + 325 | 54.44893 20.90799 2.60 0.009 13.4446 95.45327 + 331 | 120.255 29.58198 4.07 0.000 62.2394 178.2706 + 332 | 62.12651 22.45548 2.77 0.006 18.08727 106.1657 + 333 | 80.54636 24.03726 3.35 0.001 33.40497 127.6877 + 334 | 59.51938 21.4466 2.78 0.006 17.45874 101.58 + 335 | 7.663011 22.45513 0.34 0.733 -36.37554 51.70156 + 336 | 79.43846 21.44754 3.70 0.000 37.37598 121.5009 + 341 | 51.8504 22.66423 2.29 0.022 7.401777 96.29903 + 342 | 82.21856 27.60432 2.98 0.003 28.08152 136.3556 + 343 | 42.89003 25.47231 1.68 0.092 -7.065757 92.84581 + 344 | 67.6675 19.81235 3.42 0.001 28.81192 106.5231 + 398 | 78.39404 19.16266 4.09 0.000 40.81261 115.9755 + 399 | 30.49818 25.88056 1.18 0.239 -20.25826 81.25463 + 400 | 27.96346 21.97554 1.27 0.203 -15.13454 71.06145 + 401 | 67.51555 24.43927 2.76 0.006 19.58574 115.4454 + 402 | 38.29185 18.38175 2.08 0.037 2.241921 74.34178 + 403 | 72.76141 26.82411 2.71 0.007 20.15451 125.3683 + 404 | 62.45364 21.55899 2.90 0.004 20.17259 104.7347 + 405 | 55.02062 21.7509 2.53 0.011 12.36319 97.67804 + 498 | 93.76575 38.79317 2.42 0.016 17.68537 169.8461 + 499 | 35.11634 30.66649 1.15 0.252 -25.02616 95.25884 + 500 | 31.62723 21.86271 1.45 0.148 -11.24948 74.50395 + 501 | 19.54794 22.59636 0.87 0.387 -24.76759 63.86347 + 502 | 36.26408 19.13103 1.90 0.058 -1.255323 73.78347 + 503 | 26.06063 18.22561 1.43 0.153 -9.683078 61.80434 + 504 | -5.551447 19.71373 -0.28 0.778 -44.21361 33.11072 + 505 | 8.628541 18.1573 0.48 0.635 -26.9812 44.23828 + 506 | 29.21363 21.24486 1.38 0.169 -12.45137 70.87863 + 508 | 56.46832 20.98704 2.69 0.007 15.30896 97.62767 + 529 | 15.79392 28.52531 0.55 0.580 -40.14934 71.73719 + 530 | 33.63527 17.98065 1.87 0.062 -1.628026 68.89857 + 599 | 35.83513 36.33393 0.99 0.324 -35.42224 107.0925 + 600 | 8.789974 19.22354 0.46 0.648 -28.91086 46.4908 + 601 | 54.10333 19.38219 2.79 0.005 16.09138 92.11529 + 602 | 42.54479 19.09617 2.23 0.026 5.093758 79.99583 + 603 | 50.46709 25.0781 2.01 0.044 1.284417 99.64976 + 604 | 69.62272 32.18622 2.16 0.031 6.499753 132.7457 + 606 | 38.47285 25.47043 1.51 0.131 -11.47925 88.42494 + 607 | 66.06302 21.38116 3.09 0.002 24.13072 107.9953 + 609 | 73.41376 32.45901 2.26 0.024 9.755794 137.0717 + 698 | -26.78566 34.05646 -0.79 0.432 -93.57652 40.00519 + 699 | -1.823375 27.62834 -0.07 0.947 -56.00752 52.36077 + 700 | 34.68351 20.28036 1.71 0.087 -5.089917 74.45695 + 701 | 41.54346 19.82985 2.09 0.036 2.653551 80.43337 + 703 | 51.32318 21.0633 2.44 0.015 10.01425 92.63211 + 704 | 15.13313 19.25949 0.79 0.432 -22.63819 52.90445 + 705 | 5.838961 18.69806 0.31 0.755 -30.8313 42.50922 + 707 | 76.36827 54.05649 1.41 0.158 -29.64625 182.3828 + 708 | 61.30272 38.43137 1.60 0.111 -14.06812 136.6736 + 709 | 22.55831 18.77601 1.20 0.230 -14.26482 59.38143 + 710 | 52.04673 21.24515 2.45 0.014 10.38116 93.7123 + 711 | 66.09754 23.85636 2.77 0.006 19.31092 112.8842 + 798 | 50.19567 25.47185 1.97 0.049 .2407884 100.1506 + 799 | 105.8711 31.89441 3.32 0.001 43.32046 168.4218 + 800 | 22.64185 21.38891 1.06 0.290 -19.30565 64.58936 + 801 | 24.77143 28.42791 0.87 0.384 -30.98083 80.52369 + 802 | 69.97628 27.47741 2.55 0.011 16.08813 123.8644 + 803 | 9.217169 18.92281 0.49 0.626 -27.89386 46.3282 + 805 | -36.01114 24.67478 -1.46 0.145 -84.40282 12.38054 + 806 | 84.33282 35.52815 2.37 0.018 14.65572 154.0099 + 807 | 54.50756 23.14182 2.36 0.019 9.122285 99.89283 + 898 | 15.37551 32.83079 0.47 0.640 -49.01159 79.7626 + 899 | -34.02924 38.97779 -0.87 0.383 -110.4717 42.41323 + 1000 | 44.29411 24.89917 1.78 0.075 -4.537636 93.12586 + 1001 | 91.4669 22.92335 3.99 0.000 46.51008 136.4237 + 1002 | 52.21741 20.66361 2.53 0.012 11.69236 92.74246 + 1003 | 38.47938 19.3047 1.99 0.046 .619382 76.33938 + 1005 | 15.21582 21.93623 0.69 0.488 -27.80507 58.23671 + 1006 | 99.36664 37.53944 2.65 0.008 25.74503 172.9883 + 1007 | 27.73749 18.76227 1.48 0.139 -9.05871 64.53368 + 1010 | 44.55107 29.91352 1.49 0.137 -14.11472 103.2169 + 1098 | 69.08341 45.12309 1.53 0.126 -19.4111 157.5779 + 1099 | -.770981 51.54537 -0.01 0.988 -101.8607 100.3188 + 1200 | 57.45166 43.21142 1.33 0.184 -27.29371 142.197 + 1201 | 107.3678 32.37393 3.32 0.001 43.87665 170.8589 + 1202 | 54.38766 25.69474 2.12 0.034 3.995645 104.7797 + 1203 | 29.1885 19.38241 1.51 0.132 -8.823887 67.20089 + 1204 | 41.55865 22.6155 1.84 0.066 -2.794424 85.91172 + 1205 | 44.90826 25.95463 1.73 0.084 -5.993449 95.80996 + 1206 | 170.0742 45.73781 3.72 0.000 80.37413 259.7743 + 1207 | 55.93925 29.78264 1.88 0.060 -2.469867 114.3484 + 1208 | 72.52551 18.61731 3.90 0.000 36.01362 109.0374 + 1209 | 53.3126 19.2011 2.78 0.006 15.6558 90.96941 + 1210 | 46.22003 23.25914 1.99 0.047 .6046701 91.83539 + 1211 | 54.27182 23.50842 2.31 0.021 8.167584 100.3761 + 1299 | 102.5028 46.83261 2.19 0.029 10.65559 194.35 + 1300 | 11.68074 19.08783 0.61 0.541 -25.75393 49.1154 + 1301 | 101.9839 26.55994 3.84 0.000 49.89507 154.0727 + 1302 | -9.216356 24.36402 -0.38 0.705 -56.99858 38.56587 + 1303 | 31.5704 17.3517 1.82 0.069 -2.459398 65.6002 + 1304 | 70.15369 20.84145 3.37 0.001 29.27985 111.0275 + 1305 | 43.64649 24.25337 1.80 0.072 -3.918736 91.21173 + 1399 | 9.664151 30.27553 0.32 0.750 -49.71161 69.03991 + 1400 | 22.17202 25.5737 0.87 0.386 -27.98262 72.32665 + 1401 | 55.06141 23.2831 2.36 0.018 9.39907 100.7238 + 1403 | 86.29407 22.0661 3.91 0.000 43.01846 129.5697 + 1404 | 32.76057 26.83651 1.22 0.222 -19.87065 85.39179 + 1405 | 81.89985 36.49272 2.24 0.025 10.33105 153.4686 + 1406 | 53.8159 29.61449 1.82 0.069 -4.263451 111.8952 + 1407 | 56.37181 40.16906 1.40 0.161 -22.40695 135.1506 + 1408 | 90.57508 40.47319 2.24 0.025 11.19986 169.9503 + 1409 | 74.79888 28.00881 2.67 0.008 19.86856 129.7292 + 1410 | 82.24492 21.48388 3.83 0.000 40.11117 124.3787 + 1499 | -15.86236 37.70315 -0.42 0.674 -89.80503 58.08031 + 1500 | 46.50498 26.23567 1.77 0.076 -4.947894 97.95786 + 1501 | 73.4699 19.55759 3.76 0.000 35.11394 111.8259 + 1502 | 38.31719 21.13952 1.81 0.070 -3.141217 79.7756 + 1504 | 44.54346 20.14301 2.21 0.027 5.039398 84.04752 + 1505 | 94.39899 20.77957 4.54 0.000 53.64651 135.1515 + 1507 | 84.59819 29.88226 2.83 0.005 25.9937 143.2027 + 1520 | 70.33557 25.19261 2.79 0.005 20.92832 119.7428 + 1521 | 47.74664 20.88862 2.29 0.022 6.780292 88.71299 + 1522 | 133.0651 25.15661 5.29 0.000 83.72845 182.4017 + 1523 | 47.79893 21.18601 2.26 0.024 6.249356 89.34851 + 1524 | 52.38411 32.41807 1.62 0.106 -11.19356 115.9618 + 1525 | 67.99633 23.247 2.92 0.003 22.40476 113.5879 + 1526 | 107.2324 26.99952 3.97 0.000 54.28148 160.1833 + 1599 | 82.30896 22.09667 3.72 0.000 38.97341 125.6445 + 1600 | 38.97398 23.26839 1.67 0.094 -6.659527 84.60749 + 1602 | 26.52749 27.35277 0.97 0.332 -27.11622 80.1712 + 1603 | 12.63104 24.15583 0.52 0.601 -34.74289 60.00497 + 1604 | 67.51283 27.32045 2.47 0.014 13.9325 121.0932 + 1605 | 38.35956 23.31286 1.65 0.100 -7.361148 84.08027 + 1606 | 36.81634 31.62353 1.16 0.244 -25.20309 98.83577 + 1608 | 52.61473 18.88659 2.79 0.005 15.57473 89.65473 + 1609 | 47.14005 21.13374 2.23 0.026 5.692986 88.58712 + 1610 | 53.21499 27.84907 1.91 0.056 -1.402056 107.832 + 1611 | 16.04626 25.64573 0.63 0.532 -34.24964 66.34215 + 1612 | 80.23127 24.69169 3.25 0.001 31.80642 128.6561 + 1614 | -25.01186 26.92104 -0.93 0.353 -77.80886 27.78514 + 1615 | 16.27809 25.30169 0.64 0.520 -33.34308 65.89925 + 1616 | 9.856535 26.8739 0.37 0.714 -42.84803 62.5611 + 1617 | 52.28514 28.32444 1.85 0.065 -3.264187 107.8345 + 1619 | -33.93262 25.93336 -1.31 0.191 -84.79262 16.92737 + 1620 | 96.24484 34.44505 2.79 0.005 28.69189 163.7978 + 1698 | 54.63237 27.06777 2.02 0.044 1.547599 107.7171 + 1699 | 94.94882 35.00178 2.71 0.007 26.30403 163.5936 + 1700 | 48.49233 37.18749 1.30 0.192 -24.43902 121.4237 + 1701 | 127.0691 53.4886 2.38 0.018 22.16837 231.9699 + 1704 | 68.01535 30.74459 2.21 0.027 7.719674 128.311 + 1705 | 27.97614 30.13252 0.93 0.353 -31.11916 87.07143 + 1706 | 97.33632 38.8283 2.51 0.012 21.18703 173.4856 + 1707 | 45.96048 28.68329 1.60 0.109 -10.29262 102.2136 + 1708 | 63.8429 26.23895 2.43 0.015 12.38359 115.3022 + 1709 | 100.9368 17.93738 5.63 0.000 65.75834 136.1152 + 1798 | 70.67856 24.70129 2.86 0.004 22.23489 119.1222 + 1799 | 6.929932 42.9541 0.16 0.872 -77.3108 91.17066 + 1800 | 28.02101 23.28341 1.20 0.229 -17.64194 73.68396 + 1802 | 79.7158 28.15495 2.83 0.005 24.49886 134.9327 + 1803 | 94.99413 36.0599 2.63 0.008 24.27417 165.7141 + 1804 | 88.70753 29.16451 3.04 0.002 31.51068 145.9044 + 1806 | 14.51907 21.00383 0.69 0.489 -26.67323 55.71136 + 1807 | -43.8068 17.00768 -2.58 0.010 -77.16192 -10.45168 + 1808 | 28.22184 45.169 0.62 0.532 -60.3627 116.8064 + 1899 | 3.648683 69.80244 0.05 0.958 -133.2465 140.5438 + 1900 | 80.30474 30.35134 2.65 0.008 20.78029 139.8292 + 1901 | 44.04221 21.77102 2.02 0.043 1.34531 86.7391 + 1902 | 74.91171 24.00284 3.12 0.002 27.83781 121.9856 + 1905 | 99.53974 37.88068 2.63 0.009 25.24891 173.8306 + 1906 | 65.87959 30.10883 2.19 0.029 6.830761 124.9284 + 1907 | 5.139367 43.74265 0.12 0.906 -80.64784 90.92657 + 1908 | 76.15155 32.46192 2.35 0.019 12.48789 139.8152 + 1909 | 89.4778 23.32266 3.84 0.000 43.73787 135.2177 + 1910 | 39.72436 27.43696 1.45 0.148 -14.08446 93.53317 + 1911 | 79.28067 47.05163 1.68 0.092 -12.99605 171.5574 + 1912 | -8.464834 17.71656 -0.48 0.633 -43.21019 26.28052 + 1914 | 63.18401 30.51518 2.07 0.039 3.338254 123.0298 + 1915 | 56.51828 45.56018 1.24 0.215 -32.83344 145.87 + 1919 | 103.493 30.25831 3.42 0.001 44.15105 162.835 + 1920 | 73.9045 23.80812 3.10 0.002 27.2125 120.5965 + 1925 | 83.58658 22.91316 3.65 0.000 38.64975 128.5234 + 1926 | 9.278259 22.07456 0.42 0.674 -34.01393 52.57045 + 1927 | 58.80975 23.54546 2.50 0.013 12.63288 104.9866 + 1929 | 49.45301 24.35453 2.03 0.042 1.689399 97.21663 + 1999 | 52.91754 43.10613 1.23 0.220 -31.62135 137.4564 + 2000 | 34.17581 20.39513 1.68 0.094 -5.822708 74.17432 + 2001 | 17.23697 20.76687 0.83 0.407 -23.49061 57.96454 + 2002 | 21.42829 18.79573 1.14 0.254 -15.43352 58.2901 + 2003 | 62.23387 19.72458 3.16 0.002 23.55042 100.9173 + 2004 | 48.8736 17.53884 2.79 0.005 14.47677 83.27044 + 2005 | .0430554 24.54173 0.00 0.999 -48.08769 48.1738 + 2006 | 121.2123 19.46094 6.23 0.000 83.04592 159.3787 + 2007 | 25.82144 21.21453 1.22 0.224 -15.78407 67.42695 + 2008 | 106.0212 18.43797 5.75 0.000 69.861 142.1814 + 2009 | 13.87149 23.4189 0.59 0.554 -32.05719 59.80017 + 2011 | 23.02583 17.82622 1.29 0.197 -11.9346 57.98626 + 2012 | 3.796787 18.92268 0.20 0.841 -33.31399 40.90756 + 2013 | 15.10566 28.58167 0.53 0.597 -40.94815 71.15946 + 2014 | 45.86676 25.37288 1.81 0.071 -3.894025 95.62754 + 2015 | 77.26432 40.51158 1.91 0.057 -2.18619 156.7148 + 2030 | 39.33162 23.15983 1.70 0.090 -6.088983 84.75222 + 2099 | 47.06968 24.74914 1.90 0.057 -1.467825 95.60719 + 2100 | -.1727708 20.76541 -0.01 0.993 -40.89748 40.55194 + 2101 | 64.4638 21.82511 2.95 0.003 21.66082 107.2668 + 2102 | 72.01372 23.54249 3.06 0.002 25.84267 118.1848 + 2103 | 33.54552 20.96168 1.60 0.110 -7.56411 74.65515 + 2104 | 30.54983 19.97778 1.53 0.126 -8.630199 69.72986 + 2105 | 81.58566 27.833 2.93 0.003 27.00014 136.1712 + 2199 | 56.57731 65.50806 0.86 0.388 -71.8958 185.0504 + 9999 | -.5648901 21.87901 -0.03 0.979 -43.47357 42.34379 + | + house_administration | -14.57691 7.04246 -2.07 0.039 -28.38844 -.7653794 + house_agriculture | .0542901 6.780624 0.01 0.994 -13.24374 13.35232 + house_appropriations | -57.63182 10.11093 -5.70 0.000 -77.46116 -37.80247 + house_armedservices | -7.100242 5.883739 -1.21 0.228 -18.63931 4.438829 + house_budget | -.278437 8.909645 -0.03 0.975 -17.75186 17.19498 + house_dc | -4.837659 17.61825 -0.27 0.784 -39.39022 29.7149 + house_educlabor | -15.23244 5.294281 -2.88 0.004 -25.61548 -4.849401 + house_energycommerce | 11.43598 5.251838 2.18 0.030 1.13618 21.73578 + house_foreignaffairs | -2.215467 10.34153 -0.21 0.830 -22.49707 18.06613 + house_governmentop | 6.397026 5.891745 1.09 0.278 -5.157747 17.9518 + house_intelligence | -30.45366 16.71265 -1.82 0.069 -63.23018 2.322865 + house_interior | -.6302458 9.023479 -0.07 0.944 -18.32691 17.06642 + house_judiciary | -6.038993 4.021486 -1.50 0.133 -13.92585 1.847865 + house_mmf | 12.72193 8.139038 1.56 0.118 -3.240184 28.68405 + house_pocs | -4.594267 5.455668 -0.84 0.400 -15.29382 6.105281 + house_pwt | -14.85795 6.834129 -2.17 0.030 -28.26091 -1.454994 + house_rules | -18.73272 5.506954 -3.40 0.001 -29.53284 -7.932587 + house_sst | 3.129116 13.15867 0.24 0.812 -22.6774 28.93564 + house_smallbusi | 2.554974 23.29715 0.11 0.913 -43.13494 48.24489 + house_soc | 14.39505 12.12887 1.19 0.235 -9.391839 38.18194 + house_veterans | 31.53772 13.23344 2.38 0.017 5.584557 57.49088 + house_waysandmeans | -1.690126 3.403406 -0.50 0.620 -8.364818 4.984566 +house_naturalresources | -2.136481 11.48098 -0.19 0.852 -24.65274 20.37978 + house_bfs | -6.494291 6.747072 -0.96 0.336 -19.72651 6.737932 + house_eeo | -24.46436 7.223876 -3.39 0.001 -38.63168 -10.29703 + house_govreform | -9.528729 5.107552 -1.87 0.062 -19.54556 .4881001 + house_ir | 2.553595 10.13302 0.25 0.801 -17.31909 22.42628 + house_natsecur | 3.584987 11.1708 0.32 0.748 -18.32295 25.49293 + house_oversight | 21.29995 9.109736 2.34 0.019 3.434119 39.16578 + house_resources | -21.07726 7.598412 -2.77 0.006 -35.97912 -6.175407 + house_science | 6.578447 10.70284 0.61 0.539 -14.41174 27.56864 + house_transp | 4.920214 8.093229 0.61 0.543 -10.95207 20.79249 + house_homeland | -15.36026 13.08972 -1.17 0.241 -41.03155 10.31103 + _cons | 21.92037 17.00948 1.29 0.198 -11.43829 55.27903 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,946 1 0 1 1 +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(62,331 observations deleted) +(16 missing values generated) +(2 real changes made) +(2 real changes made) +(18 missing values generated) +(0 real changes made) +(0 real changes made) +(18 missing values generated) +(0 real changes made) +(0 real changes made) +(16 missing values generated) +(2 real changes made) +(2 real changes made) +(17 missing values generated) +(1 real change made) +(0 real changes made) +(5 real changes made) +(5 real changes made) +(5 real changes made) +file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/Table6_var_cosp_dwnom1_spons.xls saved + +. +. log close + name: + log: /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Log/Table6.log + log type: text + closed on: 8 Jul 2021, 12:29:16 +--------------------------------------------------------------------------------------------------------------------------------------------------------------------- diff --git a/30/replication_package/Log/Table7.log b/30/replication_package/Log/Table7.log new file mode 100644 index 0000000000000000000000000000000000000000..fbce6db44308c45d2fbaa4d253d4507214e419ed --- /dev/null +++ b/30/replication_package/Log/Table7.log @@ -0,0 +1,8303 @@ +--------------------------------------------------------------------------------------------------------------------------------------------------------------------- + name: + log: /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Log/Table7.log + log type: text + opened on: 8 Jul 2021, 12:29:36 + +. +. +. use "$AnalysisData/bills_analysis_101-111_replication.dta" +(Bill-level data set. Each observation is an individual bill.) + +. keep if private==0 +(1,546 observations deleted) + +. +. bysort v2 sponsor_state_abbrev sponsor_district sponsor_term_served: egen tot_bills=count(v2) + +. +. gen byte sponsor_democrat = sponsor_party==100 if sponsor_party~=. +(1,036 missing values generated) + +. +. gen byte NE = sponsor_state_icpsr>=1 & sponsor_state_icpsr<=14 if sponsor_state_icpsr~=. +(1,015 missing values generated) + +. gen byte MW = sponsor_state_icpsr>=21 & sponsor_state_icpsr<=37 if sponsor_state_icpsr~=. +(1,015 missing values generated) + +. gen byte SO = sponsor_state_icpsr>=40 & sponsor_state_icpsr<=56 if sponsor_state_icpsr~=. +(1,015 missing values generated) + +. gen byte WE = sponsor_state_icpsr>=61 & sponsor_state_icpsr<=82 if sponsor_state_icpsr~=. +(1,015 missing values generated) + +. +. replace sponsor_age=. if sponsor_age>100 +(0 real changes made) + +. gen sponsor_rookie=(sponsor_tenure_run==1) if sponsor_tenure_run!=. +(1,015 missing values generated) + +. gen byte leader = (comc==1) | (comr==1) if comc~=. & comr~=. +(1,015 missing values generated) + +. +. gen lnpden=lnpop-lnarea +(1,015 missing values generated) + +. gen absMV=abs(MV1_democrat) +(6,677 missing values generated) + +. +. egen tag_congressmen=tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) + +. egen group_congressmen = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +(1,015 missing values generated) + +. egen tag_sponsor = tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) + +. egen group_sponsor = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +(1,015 missing values generated) + +. +. cap drop pct_cosponsors_opposite + +. gen pct_cosponsors_opposite=100*numb_cosponsors_opposite/(numb_cosponsors+1) +(1,015 missing values generated) + +. replace pct_cosponsors_opposite=. if pct_cosponsors_opposite>100 +(3 real changes made, 3 to missing) + +. +. compress + variable tot_bills was float now int + variable sponsor_rookie was float now byte + variable group_congressmen was float now int + variable group_sponsor was float now int + (561,141 bytes saved) + +. +. egen tag_bill = tag(v2 HRnumber) + +. +. gen int decade = 1980 if v2<=102 +(50,563 missing values generated) + +. replace decade=1990 if v2>=103 & v2<=107 +(25,238 real changes made) + +. replace decade=2000 if v2>=108 +(25,325 real changes made) + +. +. egen district_id = group(decade sponsor_state_abbrev sponsor_district) +(1,015 missing values generated) + +. +. local controls1 = "i.v2 " + +. local controls2 = "i.v2 MV1_female femaleXMV1_female " + +. local controls3 = "i.v2 MV1_female femaleXMV1_female " + +. local controls4 = "i.v2 " + +. local controls5 = "i.v2 " + +. +. local other_controls = "i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate to +> t_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden" + +. local billchars = "i.minor house_*" + +. local indivchars = "sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate tot_bills" + +. local districtchars = "NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden" + +. +. local if1 = "if tag_bill==1" + +. local if2 = "if sponsor_party==100 & tag_bill==1" + +. local if3 = "if sponsor_party==200 & tag_bill==1" + +. +. gen tenured=sponsor_tenure>=5 if sponsor_tenure!=. +(1,015 missing values generated) + +. +. foreach depvar of varlist numb_cosponsors { + 2. forvalues l = 0/1 { + 3. forvalues j = 1/5 { + 4. forvalues k = 1/3 { + 5. qui reg `depvar' sponsor_female `controls3' `other_controls' `if`k'' & mixed_gender_election==1 & tenured==`l', robust cluster(group_sponsor) + 6. qui gen sample=e(sample) + 7. +. di "" + 8. di "" + 9. di "j = ", `j', "k = ", `k' + 10. di "" + 11. di "" + 12. +. di "rdbwselect_2014 `depvar' MV1_female `if`k'', c(0) kernel(uniform)" + 13. rdbwselect_2014 `depvar' MV1_female `if`k'', c(0) kernel(uniform) + 14. local band = e(h_CCT) + 15. +. if `j'==1 { + 16. di "reg `depvar' sponsor_female `controls`j'' `other_controls' `if`k'' & tenured==`l', robust cluster(group_sponsor)" + 17. reg `depvar' sponsor_female `controls`j'' `other_controls' `if`k'' & tenured==`l', robust cluster(group_sponsor) + 18. } + 19. else if `j'==2 { + 20. di "reg `depvar' sponsor_female `controls`j'' `if`k'' & sample==1 & abs(MV1_female)<=`band' & tenured==`l', robust cluster(group_sponsor)" + 21. reg `depvar' sponsor_female `controls`j'' `if`k'' & sample==1 & abs(MV1_female)<=`band' & tenured==`l', robust cluster(group_sponsor) +> + 22. } + 23. else if `j'==3 { + 24. qui probit sponsor_female i.v2 `districtchars' `if`k'' & tag_sponsor==1 & abs(MV1_female)<=`band' + 25. predict pscore if sample==1 + 26. gen wt = 1/pscore if sponsor_female==1 + 27. replace wt =1/(1-pscore) if sponsor_female==0 + 28. di "reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & sample==1 & tenured==`l' & abs(MV1_female)<=`band', robust clu +> ster(group_sponsor)" + 29. reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & sample==1 & tenured==`l' & abs(MV1_female)<=`band', robust cluster(gro +> up_sponsor) + 30. drop pscore wt + 31. } + 32. else if `j'==4 { + 33. qui probit sponsor_female i.v2 `districtchars' absMV `if`k'' & tag_sponsor==1 + 34. predict pscore + 35. gen wt = 1/pscore if sponsor_female==1 + 36. replace wt =1/(1-pscore) if sponsor_female==0 + 37. di "reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & tenured==`l', robust cluster(group_sponsor)" + 38. reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & tenured==`l', robust cluster(group_sponsor) + 39. drop pscore wt + 40. } + 41. else if `j'==5 { + 42. qui probit sponsor_female i.v2 `districtchars' `indivchars' absMV `if`k'' & tag_sponsor==1 + 43. predict pscore + 44. gen wt = 1/pscore if sponsor_female==1 + 45. replace wt =1/(1-pscore) if sponsor_female==0 + 46. di "reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & tenured==`l', robust cluster(group_sponsor)" + 47. reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & tenured==`l', robust cluster(group_sponsor) + 48. drop pscore wt + 49. } + 50. +. if `j'~=2 & `j'~=3 { + 51. scalar b_col`j'_row`k' = _b[sponsor_female] + 52. scalar se_col`j'_row`k' = _se[sponsor_female] + 53. scalar n_col`j'_row`k' = e(N) + 54. sum tag_congressmen if tag_congressmen==1 & e(sample) + 55. scalar ni_col`j'_row`k' = e(N_clust) + 56. scalar ob_col`j'_row`k' = . + 57. } + 58. else if `j'==2 | `j'==3 { + 59. scalar b_col`j'_row`k' = _b[sponsor_female] + 60. scalar se_col`j'_row`k' = _se[sponsor_female] + 61. scalar n_col`j'_row`k' = e(N) + 62. sum tag_congressmen if tag_congressmen==1 & e(sample) + 63. scalar ni_col`j'_row`k' = e(N_clust) + 64. scalar ob_col`j'_row`k' = round(`band') + 65. } + 66. +. drop sample + 67. } // closes j loop + 68. } // closes k loop + 69. +. preserve + 70. +. * Display results +. +. forvalues i = 1/5 { + 71. gen var`i' =. + 72. } + 73. gen str20 var6 = "" + 74. +. forvalues j=1/5 { + 75. forvalues k = 1/3 { + 76. replace var`j' = b_col`j'_row`k' if _n==6*(`k'-1)+1 + 77. replace var`j' = se_col`j'_row`k' if _n==6*(`k'-1)+2 + 78. replace var`j' = n_col`j'_row`k' if _n==6*(`k'-1)+3 + 79. replace var`j' = ni_col`j'_row`k' if _n==6*(`k'-1)+4 + 80. replace var`j' = ob_col`j'_row`k' if _n==6*(`k'-1)+5 + 81. } + 82. } + 83. +. keep var1-var6 + 84. keep if _n<=18 + 85. +. order var6 var1-var5 + 86. +. ren var6 sampletype + 87. ren var1 OLS_all + 88. ren var2 RD_bwidth + 89. ren var3 RD_match_bw + 90. ren var4 PS_match + 91. ren var5 PS_match_indiv + 92. +. foreach var of varlist OLS_all RD_bwidth RD_match_bw PS_match PS_match_indiv { + 93. gen str3 `var'_stars ="*" if abs(`var'/`var'[_n+1])>=1.645 & mod(_n,6)==1 + 94. replace `var'_stars ="**" if abs(`var'/`var'[_n+1])>=1.96 & mod(_n,6)==1 + 95. replace `var'_stars="***" if abs(`var'/`var'[_n+1])>=2.58 & mod(_n,6)==1 + 96. } + 97. +. replace sampletype = "All" if _n>=1 & _n<=5 + 98. replace sampletype = "Democrats" if _n>=7 & _n<=11 + 99. replace sampletype = "Republicans" if _n>=13 & _n<=17 +100. +. order sampletype OLS_all OLS_all_stars RD_bwidth RD_bwidth_stars RD_match_bw RD_match_bw_stars PS_match PS_match_stars PS_match_indiv PS_match_indiv_stars +101. export excel using "$Output/Table7_`depvar'_T`l'", firstrow(var) replace +102. restore +103. } // closes l loop +104. } + + +j = 1 k = 1 + + +rdbwselect_2014 numb_cosponsors MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11990 +----------------------+---------------------- NN matches = 3 + Number of obs | 6151 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 25.22792 46.13311 .5468506 +---------------------------------------------- +reg numb_cosponsors sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 +> borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if tag_bill==1 & tenured==0, robust cluster(group_sponsor) + +Linear regression Number of obs = 23,316 + F(288, 2285) = . + Prob > F = . + R-squared = 0.1045 + Root MSE = 31.529 + + (Std. Err. adjusted for 2,286 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | .6114633 .7785303 0.79 0.432 -.9152368 2.138163 + | + v2 | + 102 | -1.818405 1.362318 -1.33 0.182 -4.489914 .8531049 + 103 | -5.462858 1.620211 -3.37 0.001 -8.640095 -2.285621 + 104 | -6.07402 1.750342 -3.47 0.001 -9.506445 -2.641596 + 105 | -3.325673 1.718621 -1.94 0.053 -6.695893 .0445475 + 106 | -1.973518 1.747571 -1.13 0.259 -5.40051 1.453474 + 107 | -2.619058 1.833564 -1.43 0.153 -6.214681 .976565 + 108 | 3.157304 4.01826 0.79 0.432 -4.722516 11.03712 + 109 | 1.367116 3.952768 0.35 0.729 -6.384274 9.118506 + 110 | .8677957 3.973017 0.22 0.827 -6.923301 8.658893 + 111 | -.69964 3.996739 -0.18 0.861 -8.537257 7.137977 + | + minor | + 101 | -5.282761 4.29435 -1.23 0.219 -13.70399 3.13847 + 103 | -5.31701 5.778261 -0.92 0.358 -16.6482 6.014176 + 104 | -.4378469 4.725707 -0.09 0.926 -9.704971 8.829277 + 105 | 11.84648 5.558177 2.13 0.033 .9468814 22.74608 + 107 | 6.6855 3.757451 1.78 0.075 -.6828715 14.05387 + 108 | 3.069026 5.718523 0.54 0.592 -8.145013 14.28307 + 110 | 8.981409 14.72885 0.61 0.542 -19.90191 37.86473 + 200 | 6.650676 4.648886 1.43 0.153 -2.465802 15.76715 + 201 | -2.835176 5.258829 -0.54 0.590 -13.14775 7.477402 + 202 | 16.65801 8.152264 2.04 0.041 .6713984 32.64462 + 204 | 3.786118 6.628314 0.57 0.568 -9.212025 16.78426 + 205 | 43.81922 25.30682 1.73 0.083 -5.807519 93.44597 + 206 | 12.38738 6.387821 1.94 0.053 -.13915 24.91392 + 207 | 25.20934 6.343835 3.97 0.000 12.76906 37.64962 + 208 | 2.84974 4.057995 0.70 0.483 -5.108 10.80748 + 209 | -8.772216 3.742218 -2.34 0.019 -16.11072 -1.433716 + 299 | 39.9336 21.48215 1.86 0.063 -2.192949 82.06015 + 300 | -1.466909 4.186026 -0.35 0.726 -9.675718 6.741899 + 301 | 6.916925 4.547624 1.52 0.128 -2.000978 15.83483 + 302 | 8.760489 4.005431 2.19 0.029 .9058289 16.61515 + 321 | 8.145118 4.709589 1.73 0.084 -1.0904 17.38064 + 322 | 3.047504 4.16206 0.73 0.464 -5.114306 11.20931 + 323 | 13.42188 5.705239 2.35 0.019 2.233896 24.60987 + 324 | 6.719732 5.651545 1.19 0.235 -4.362963 17.80243 + 325 | 7.512658 4.524445 1.66 0.097 -1.359791 16.38511 + 331 | 20.30289 6.106944 3.32 0.001 8.327157 32.27862 + 332 | 10.32136 4.580586 2.25 0.024 1.338814 19.3039 + 333 | 12.13986 5.59623 2.17 0.030 1.165635 23.11408 + 334 | 13.34353 4.471514 2.98 0.003 4.574877 22.11218 + 335 | 7.30317 5.12984 1.42 0.155 -2.756461 17.3628 + 336 | 18.50421 7.124986 2.60 0.009 4.532089 32.47632 + 341 | 6.540099 4.632223 1.41 0.158 -2.543703 15.6239 + 342 | 14.00283 7.349671 1.91 0.057 -.4098952 28.41555 + 343 | 1.05141 4.594145 0.23 0.819 -7.957721 10.06054 + 344 | 12.93462 9.794493 1.32 0.187 -6.272404 32.14165 + 398 | 16.37494 4.640633 3.53 0.000 7.274641 25.47523 + 399 | 10.73778 10.45374 1.03 0.304 -9.762034 31.2376 + 400 | 5.310398 6.609332 0.80 0.422 -7.65052 18.27132 + 401 | -.116211 4.453693 -0.03 0.979 -8.849916 8.617494 + 402 | -.3585682 4.04853 -0.09 0.929 -8.297747 7.58061 + 403 | 8.528815 5.569754 1.53 0.126 -2.393487 19.45112 + 404 | 4.308574 7.072933 0.61 0.542 -9.561467 18.17861 + 405 | 9.568439 6.733497 1.42 0.155 -3.635967 22.77284 + 498 | 12.23438 8.197532 1.49 0.136 -3.840999 28.30977 + 499 | 23.29696 15.1172 1.54 0.123 -6.347911 52.94183 + 500 | 7.958249 7.112974 1.12 0.263 -5.990313 21.90681 + 501 | 3.493885 4.629993 0.75 0.451 -5.585544 12.57331 + 502 | 2.200592 4.03692 0.55 0.586 -5.715819 10.117 + 503 | 6.054534 3.938774 1.54 0.124 -1.669412 13.77848 + 504 | 18.57133 6.494897 2.86 0.004 5.834821 31.30784 + 505 | 6.126135 4.324301 1.42 0.157 -2.353831 14.6061 + 506 | 19.26638 8.464425 2.28 0.023 2.667617 35.86514 + 508 | 6.454993 4.886134 1.32 0.187 -3.126729 16.03672 + 529 | 14.27853 8.615319 1.66 0.098 -2.616135 31.17319 + 530 | 5.476605 3.877246 1.41 0.158 -2.126685 13.0799 + 599 | 4.745117 8.354702 0.57 0.570 -11.63848 21.12871 + 600 | 11.17971 4.931564 2.27 0.023 1.508896 20.85051 + 601 | 8.267187 3.798272 2.18 0.030 .8187663 15.71561 + 602 | 9.773417 3.867662 2.53 0.012 2.188922 17.35791 + 603 | 9.796289 4.676752 2.09 0.036 .6251654 18.96741 + 604 | -1.734455 4.387593 -0.40 0.693 -10.33854 6.869626 + 606 | 8.433042 5.468555 1.54 0.123 -2.290808 19.15689 + 607 | 7.263553 4.576063 1.59 0.113 -1.71012 16.23723 + 609 | 1.893501 5.705676 0.33 0.740 -9.295345 13.08235 + 698 | -4.170395 4.736566 -0.88 0.379 -13.45881 5.118023 + 699 | 3.801273 4.920797 0.77 0.440 -5.848424 13.45097 + 700 | .1396945 4.136403 0.03 0.973 -7.971803 8.251192 + 701 | 2.124654 4.387178 0.48 0.628 -6.478614 10.72792 + 703 | -1.128545 4.028943 -0.28 0.779 -9.029314 6.772224 + 704 | -3.834117 3.78126 -1.01 0.311 -11.24918 3.580944 + 705 | 6.639805 4.620891 1.44 0.151 -2.421774 15.70138 + 707 | 23.80129 7.501963 3.17 0.002 9.089919 38.51266 + 708 | 5.427379 5.192333 1.05 0.296 -4.7548 15.60956 + 709 | 7.568848 4.073303 1.86 0.063 -.4189114 15.55661 + 710 | 3.721572 4.04109 0.92 0.357 -4.203016 11.64616 + 711 | 2.082749 4.596613 0.45 0.651 -6.931222 11.09672 + 798 | -6.514659 4.350233 -1.50 0.134 -15.04548 2.01616 + 799 | 1.872992 5.160562 0.36 0.717 -8.246884 11.99287 + 800 | -1.645691 4.207308 -0.39 0.696 -9.896233 6.604851 + 801 | -2.880434 5.143383 -0.56 0.576 -12.96662 7.205754 + 802 | -4.258738 3.961868 -1.07 0.283 -12.02797 3.510497 + 803 | .4325163 3.711405 0.12 0.907 -6.84556 7.710592 + 805 | -4.549202 4.031004 -1.13 0.259 -12.45401 3.355607 + 806 | 3.378562 4.094143 0.83 0.409 -4.650063 11.40719 + 807 | 1.30495 4.141506 0.32 0.753 -6.816555 9.426454 + 898 | 4.131681 8.394609 0.49 0.623 -12.33017 20.59353 + 899 | -4.21171 6.712924 -0.63 0.530 -17.37577 8.952352 + 1000 | 7.656591 6.456087 1.19 0.236 -5.003814 20.317 + 1001 | -3.62978 3.819199 -0.95 0.342 -11.11924 3.859679 + 1002 | 2.85875 4.254371 0.67 0.502 -5.484083 11.20158 + 1003 | 4.410346 4.065706 1.08 0.278 -3.562515 12.38321 + 1005 | 13.03128 8.322546 1.57 0.118 -3.289253 29.35182 + 1006 | 7.222458 5.113107 1.41 0.158 -2.804358 17.24928 + 1007 | -1.577315 3.872564 -0.41 0.684 -9.171424 6.016794 + 1010 | -4.270084 3.998647 -1.07 0.286 -12.11144 3.571275 + 1098 | -7.804092 4.780617 -1.63 0.103 -17.17889 1.570711 + 1099 | 5.427584 6.914317 0.78 0.433 -8.131412 18.98658 + 1200 | 17.83031 9.860421 1.81 0.071 -1.506006 37.16662 + 1201 | 4.674132 4.884748 0.96 0.339 -4.904872 14.25313 + 1202 | 6.034846 6.369884 0.95 0.344 -6.456513 18.5262 + 1203 | .6807877 4.101891 0.17 0.868 -7.363032 8.724607 + 1204 | 6.608808 4.330025 1.53 0.127 -1.882383 15.1 + 1205 | 6.728459 4.870605 1.38 0.167 -2.82281 16.27973 + 1206 | 1.614821 4.292354 0.38 0.707 -6.802497 10.03214 + 1207 | 2.573788 3.99712 0.64 0.520 -5.264575 10.41215 + 1208 | 12.39481 4.300925 2.88 0.004 3.960681 20.82893 + 1209 | 11.37086 4.070641 2.79 0.005 3.388318 19.35339 + 1210 | 6.196394 4.43005 1.40 0.162 -2.490947 14.88373 + 1211 | 5.699249 4.468338 1.28 0.202 -3.063173 14.46167 + 1299 | 2.017503 4.796009 0.42 0.674 -7.387483 11.42249 + 1300 | 4.491018 4.490327 1.00 0.317 -4.314525 13.29656 + 1301 | 10.99269 6.556388 1.68 0.094 -1.864406 23.84978 + 1302 | 1.44071 4.26517 0.34 0.736 -6.9233 9.80472 + 1303 | 4.034432 4.102147 0.98 0.325 -4.00989 12.07875 + 1304 | 24.33923 7.658967 3.18 0.002 9.319975 39.35849 + 1305 | 9.456494 5.435519 1.74 0.082 -1.202573 20.11556 + 1399 | -3.328855 4.461209 -0.75 0.456 -12.0773 5.419589 + 1400 | 8.285679 5.494346 1.51 0.132 -2.488749 19.06011 + 1401 | 13.67164 5.221492 2.62 0.009 3.432281 23.911 + 1403 | 5.12836 5.798493 0.88 0.377 -6.2425 16.49922 + 1404 | -2.507073 6.146913 -0.41 0.683 -14.56119 9.54704 + 1405 | -1.773811 4.165632 -0.43 0.670 -9.942627 6.395005 + 1406 | 1.977809 4.979186 0.40 0.691 -7.786388 11.74201 + 1407 | 4.394724 4.51305 0.97 0.330 -4.455379 13.24483 + 1408 | 11.13447 7.246093 1.54 0.125 -3.075141 25.34407 + 1409 | 9.113471 5.360447 1.70 0.089 -1.39838 19.62532 + 1410 | 8.259826 5.551148 1.49 0.137 -2.62599 19.14564 + 1499 | -4.065949 4.814057 -0.84 0.398 -13.50633 5.37443 + 1500 | -.8653601 4.57466 -0.19 0.850 -9.836282 8.105561 + 1501 | -.2723395 3.850234 -0.07 0.944 -7.822659 7.277979 + 1502 | -2.062501 4.28971 -0.48 0.631 -10.47463 6.349633 + 1504 | 5.435212 4.559409 1.19 0.233 -3.505801 14.37622 + 1505 | 9.798988 5.439629 1.80 0.072 -.8681398 20.46612 + 1507 | -4.079133 4.28382 -0.95 0.341 -12.47972 4.321451 + 1520 | 7.022016 7.484609 0.94 0.348 -7.655323 21.69935 + 1521 | 3.910434 3.833702 1.02 0.308 -3.607465 11.42833 + 1522 | 5.265413 6.240439 0.84 0.399 -6.972106 17.50293 + 1523 | 1.630511 3.759026 0.43 0.665 -5.740949 9.00197 + 1524 | 1.581403 7.446909 0.21 0.832 -13.02201 16.18481 + 1525 | 1.112539 4.068508 0.27 0.785 -6.865817 9.090894 + 1526 | 2.497553 4.797509 0.52 0.603 -6.910374 11.90548 + 1599 | 12.05088 6.611224 1.82 0.068 -.9137431 25.01551 + 1600 | -2.933633 5.25562 -0.56 0.577 -13.23992 7.372652 + 1602 | 10.63053 12.87859 0.83 0.409 -14.62442 35.88549 + 1603 | -6.718929 8.402539 -0.80 0.424 -23.19633 9.758473 + 1604 | 1.290633 7.777649 0.17 0.868 -13.96136 16.54262 + 1605 | -1.448956 4.794727 -0.30 0.763 -10.85143 7.953518 + 1606 | 15.56354 9.184244 1.69 0.090 -2.446786 33.57387 + 1608 | 13.00306 4.570746 2.84 0.004 4.03981 21.9663 + 1609 | 10.27379 4.477356 2.29 0.022 1.493682 19.0539 + 1610 | -1.516121 4.474553 -0.34 0.735 -10.29073 7.25849 + 1611 | -7.676361 3.852545 -1.99 0.046 -15.23121 -.1215089 + 1612 | 8.617515 5.286126 1.63 0.103 -1.748593 18.98362 + 1614 | -2.70975 5.081675 -0.53 0.594 -12.67493 7.255428 + 1615 | -.29564 4.017004 -0.07 0.941 -8.172997 7.581717 + 1616 | -5.909849 4.058021 -1.46 0.145 -13.86764 2.047941 + 1617 | -4.695636 4.344945 -1.08 0.280 -13.21609 3.824813 + 1619 | 4.721431 6.800301 0.69 0.488 -8.613977 18.05684 + 1620 | 5.72828 8.36094 0.69 0.493 -10.66755 22.12411 + 1698 | -6.994257 4.546486 -1.54 0.124 -15.90993 1.921414 + 1699 | 15.63735 6.518707 2.40 0.017 2.854144 28.42055 + 1700 | 15.02119 9.951309 1.51 0.131 -4.493354 34.53574 + 1701 | 3.349203 5.134895 0.65 0.514 -6.720339 13.41875 + 1704 | 5.736108 6.275139 0.91 0.361 -6.569457 18.04167 + 1705 | -14.25715 5.394509 -2.64 0.008 -24.83579 -3.678501 + 1706 | 1.058333 4.498372 0.24 0.814 -7.762985 9.879652 + 1707 | 8.241354 5.392669 1.53 0.127 -2.333684 18.81639 + 1708 | 1.054572 4.847514 0.22 0.828 -8.451417 10.56056 + 1709 | 10.54453 5.562699 1.90 0.058 -.363934 21.453 + 1798 | -1.229148 5.263899 -0.23 0.815 -11.55167 9.093372 + 1799 | 3.575088 8.5425 0.42 0.676 -13.17678 20.32695 + 1800 | .2178434 5.368473 0.04 0.968 -10.30975 10.74543 + 1802 | 6.878835 4.727082 1.46 0.146 -2.390985 16.14866 + 1803 | 3.358545 6.129429 0.55 0.584 -8.661281 15.37837 + 1804 | -.0123856 5.288981 -0.00 0.998 -10.38409 10.35932 + 1806 | 3.424446 6.429155 0.53 0.594 -9.183144 16.03204 + 1807 | -8.334097 3.578962 -2.33 0.020 -15.35245 -1.315743 + 1808 | 21.37127 22.17813 0.96 0.335 -22.12009 64.86264 + 1899 | 15.35875 16.18953 0.95 0.343 -16.38896 47.10646 + 1900 | 2.293797 6.025175 0.38 0.703 -9.521588 14.10918 + 1901 | 10.74615 4.821584 2.23 0.026 1.291011 20.20129 + 1902 | 8.432217 5.43346 1.55 0.121 -2.222814 19.08725 + 1905 | 30.07382 13.06293 2.30 0.021 4.457374 55.69027 + 1906 | -4.477225 4.235371 -1.06 0.291 -12.7828 3.828349 + 1907 | 1.776285 9.127379 0.19 0.846 -16.12253 19.6751 + 1908 | .1652314 6.90712 0.02 0.981 -13.37965 13.71011 + 1909 | -1.476893 11.8285 -0.12 0.901 -24.67261 21.71883 + 1910 | 2.172427 5.350918 0.41 0.685 -8.320738 12.66559 + 1911 | 5.756117 7.421171 0.78 0.438 -8.79682 20.30905 + 1914 | 18.13561 6.646138 2.73 0.006 5.102512 31.1687 + 1919 | -2.090719 6.241944 -0.33 0.738 -14.33119 10.14975 + 1920 | 4.813344 4.847371 0.99 0.321 -4.692363 14.31905 + 1925 | 5.741717 5.803261 0.99 0.323 -5.638493 17.12193 + 1926 | 15.47133 5.659891 2.73 0.006 4.37227 26.5704 + 1927 | 3.52774 5.65262 0.62 0.533 -7.557063 14.61254 + 1929 | 3.772394 6.336361 0.60 0.552 -8.653227 16.19802 + 1999 | -9.833927 5.239195 -1.88 0.061 -20.108 .4401495 + 2000 | -2.700322 5.345209 -0.51 0.613 -13.18229 7.781646 + 2001 | 3.339452 4.644437 0.72 0.472 -5.768302 12.44721 + 2002 | 5.061603 4.177981 1.21 0.226 -3.131429 13.25464 + 2003 | 22.9778 7.194733 3.19 0.001 8.868906 37.08669 + 2004 | 4.348283 4.061134 1.07 0.284 -3.615611 12.31218 + 2005 | -.2188488 4.433785 -0.05 0.961 -8.913514 8.475817 + 2006 | 80.44859 9.770401 8.23 0.000 61.28881 99.60838 + 2007 | 4.638884 5.816058 0.80 0.425 -6.766421 16.04419 + 2008 | 5.726953 3.707657 1.54 0.123 -1.543773 12.99768 + 2009 | 3.85215 6.573767 0.59 0.558 -9.039026 16.74332 + 2011 | 4.496585 4.139095 1.09 0.277 -3.620192 12.61336 + 2012 | -.0705958 4.124472 -0.02 0.986 -8.158696 8.017505 + 2013 | 6.863363 5.38272 1.28 0.202 -3.692165 17.41889 + 2014 | 11.37838 8.917752 1.28 0.202 -6.109359 28.86611 + 2015 | 3.924457 6.141848 0.64 0.523 -8.119722 15.96864 + 2030 | 10.57463 7.63402 1.39 0.166 -4.395701 25.54497 + 2099 | 32.69524 16.51527 1.98 0.048 .3087517 65.08173 + 2100 | -3.652234 3.925944 -0.93 0.352 -11.35102 4.046553 + 2101 | 1.907422 3.789532 0.50 0.615 -5.52386 9.338705 + 2102 | -.6598499 3.825368 -0.17 0.863 -8.161407 6.841707 + 2103 | -.9639825 3.640066 -0.26 0.791 -8.102161 6.174196 + 2104 | -4.117921 3.640417 -1.13 0.258 -11.25679 3.020947 + 2105 | 21.80262 22.55589 0.97 0.334 -22.42953 66.03478 + 2199 | 2.946346 5.171777 0.57 0.569 -7.195522 13.08821 + 9999 | 31.7599 14.86133 2.14 0.033 2.616792 60.903 + | + house_administration | 3.51059 2.515584 1.40 0.163 -1.422476 8.443656 + house_agriculture | 4.49957 1.343824 3.35 0.001 1.864328 7.134812 + house_appropriations | 15.7069 4.284896 3.67 0.000 7.304204 24.10959 + house_armedservices | 4.891316 1.830071 2.67 0.008 1.302543 8.480089 + house_budget | -2.93462 2.380668 -1.23 0.218 -7.603116 1.733877 + house_dc | -13.16505 5.338207 -2.47 0.014 -23.63329 -2.69681 + house_educlabor | 1.119334 1.027847 1.09 0.276 -.8962766 3.134944 + house_energycommerce | 3.916862 .8862286 4.42 0.000 2.178966 5.654759 + house_foreignaffairs | 3.585458 2.073337 1.73 0.084 -.4803603 7.651277 + house_governmentop | 4.443662 2.817563 1.58 0.115 -1.081587 9.968912 + house_intelligence | 31.55041 11.08282 2.85 0.004 9.816972 53.28384 + house_interior | -1.621482 1.698182 -0.95 0.340 -4.951621 1.708657 + house_judiciary | 2.450864 .9319083 2.63 0.009 .623389 4.278338 + house_mmf | 2.433698 2.25123 1.08 0.280 -1.98097 6.848366 + house_pocs | -2.335755 2.253485 -1.04 0.300 -6.754846 2.083336 + house_pwt | -.7103035 1.513849 -0.47 0.639 -3.678965 2.258358 + house_rules | 5.048321 2.003704 2.52 0.012 1.119052 8.97759 + house_sst | 6.200646 3.867361 1.60 0.109 -1.383259 13.78455 + house_smallbusi | -3.956921 1.667636 -2.37 0.018 -7.22716 -.6866824 + house_soc | -10.4485 4.773191 -2.19 0.029 -19.80874 -1.088261 + house_veterans | 1.235553 1.860532 0.66 0.507 -2.412955 4.884061 + house_waysandmeans | 1.380411 .7855124 1.76 0.079 -.1599811 2.920803 +house_naturalresources | -.3069073 1.274812 -0.24 0.810 -2.806817 2.193002 + house_bfs | 2.943944 1.336242 2.20 0.028 .3235691 5.564318 + house_eeo | -1.389755 2.351199 -0.59 0.555 -6.000463 3.220953 + house_govreform | 1.514028 1.504663 1.01 0.314 -1.43662 4.464676 + house_ir | 1.667642 2.082963 0.80 0.423 -2.417055 5.752338 + house_natsecur | 6.752262 3.706354 1.82 0.069 -.5159088 14.02043 + house_oversight | 4.466728 1.776232 2.51 0.012 .9835317 7.949924 + house_resources | -1.953763 1.170814 -1.67 0.095 -4.249732 .3422071 + house_science | -.8158031 1.820758 -0.45 0.654 -4.386315 2.754709 + house_transp | -1.216915 1.019768 -1.19 0.233 -3.216684 .7828536 + house_homeland | -.0620027 1.715953 -0.04 0.971 -3.426991 3.302985 + sponsor_democrat | .1420035 .6045301 0.23 0.814 -1.043482 1.327489 + sponsor_rookie | -2.086651 .9095045 -2.29 0.022 -3.870192 -.3031101 + sponsor_tenure_run | .8707358 .3932943 2.21 0.027 .0994846 1.641987 + sponsor_age | -.0307626 .032614 -0.94 0.346 -.0947188 .0331935 + leader | 4.231333 2.071006 2.04 0.041 .1700832 8.292582 + ivycoll | -.1057649 .8151747 -0.13 0.897 -1.704325 1.492795 + black | 1.513105 1.644649 0.92 0.358 -1.712055 4.738266 + occ0 | .1952298 .92811 0.21 0.833 -1.624796 2.015256 + occ1 | 1.416251 1.048627 1.35 0.177 -.640109 3.47261 + occ2 | -.9301103 .7916108 -1.17 0.240 -2.482461 .6222406 + occ3 | 1.041911 1.160553 0.90 0.369 -1.233937 3.317759 + occ4 | 1.699131 .8650829 1.96 0.050 .0027012 3.395561 + borninstate | .8124622 .5326617 1.53 0.127 -.2320888 1.857013 + tot_bills | -.1194685 .0401679 -2.97 0.003 -.1982378 -.0406992 + NE | -4.257379 .8570049 -4.97 0.000 -5.937968 -2.57679 + MW | -1.001838 .8484723 -1.18 0.238 -2.665694 .6620187 + WE | -1.213686 .8846742 -1.37 0.170 -2.948535 .5211621 + pct_black | .0437763 3.335276 0.01 0.990 -6.49671 6.584263 + pct_urban | -.5994483 1.76682 -0.34 0.734 -4.064188 2.865292 + pct_for_born | -.7909635 4.41594 -0.18 0.858 -9.450633 7.868706 + pct_age_over65 | 16.54343 7.845729 2.11 0.035 1.157932 31.92893 + lninc | 6.61571 1.694556 3.90 0.000 3.292682 9.938738 + lnpden | .210779 .2469384 0.85 0.393 -.2734679 .6950259 + _cons | -57.34795 17.00004 -3.37 0.001 -90.68508 -24.01082 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,286 1 0 1 1 + + +j = 1 k = 2 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6187 +----------------------+---------------------- NN matches = 3 + Number of obs | 2193 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 29.70309 50.99673 .5824509 +---------------------------------------------- +reg numb_cosponsors sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 +> borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if sponsor_party==100 & tag_bill==1 & tenured==0, robust cluster(group +> _sponsor) +note: sponsor_democrat omitted because of collinearity + +Linear regression Number of obs = 11,350 + F(279, 1115) = . + Prob > F = . + R-squared = 0.1161 + Root MSE = 30.938 + + (Std. Err. adjusted for 1,116 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | .5052622 .9814194 0.51 0.607 -1.420375 2.430899 + | + v2 | + 102 | -3.863498 1.628164 -2.37 0.018 -7.058108 -.6688878 + 103 | -9.491742 2.143075 -4.43 0.000 -13.69666 -5.286827 + 104 | -12.38932 2.456815 -5.04 0.000 -17.20982 -7.568823 + 105 | -8.365839 2.346802 -3.56 0.000 -12.97049 -3.761193 + 106 | -6.195298 2.348857 -2.64 0.008 -10.80398 -1.58662 + 107 | -7.628037 2.565335 -2.97 0.003 -12.66147 -2.594609 + 108 | 2.202759 5.284677 0.42 0.677 -8.166273 12.57179 + 109 | -.4058946 5.294519 -0.08 0.939 -10.79424 9.982448 + 110 | 4.169274 5.286261 0.79 0.430 -6.202867 14.54141 + 111 | 1.666086 5.267777 0.32 0.752 -8.669788 12.00196 + | + minor | + 101 | -4.222558 4.267034 -0.99 0.323 -12.59488 4.149763 + 103 | -9.036674 4.637384 -1.95 0.052 -18.13566 .0623081 + 104 | -.8278208 4.413759 -0.19 0.851 -9.488029 7.832388 + 105 | 5.099348 4.933019 1.03 0.301 -4.579697 14.77839 + 107 | 5.226504 4.138884 1.26 0.207 -2.894375 13.34738 + 108 | 11.58462 6.857325 1.69 0.091 -1.870094 25.03934 + 110 | .7742406 4.540101 0.17 0.865 -8.133863 9.682345 + 200 | 10.1635 6.012575 1.69 0.091 -1.633733 21.96074 + 201 | -.7855789 5.343683 -0.15 0.883 -11.27039 9.699229 + 202 | 18.79859 8.950097 2.10 0.036 1.237661 36.35952 + 204 | 1.738619 4.352385 0.40 0.690 -6.801168 10.27841 + 205 | 37.18808 41.8935 0.89 0.375 -45.0109 119.3871 + 206 | 5.074723 7.449399 0.68 0.496 -9.541698 19.69114 + 207 | 19.53559 6.707484 2.91 0.004 6.374875 32.6963 + 208 | 5.093633 5.212397 0.98 0.329 -5.133578 15.32085 + 299 | 35.71533 29.86197 1.20 0.232 -22.87666 94.30731 + 300 | 1.631656 4.886074 0.33 0.738 -7.955279 11.21859 + 301 | 12.58239 5.534167 2.27 0.023 1.72384 23.44095 + 302 | 13.10368 4.934222 2.66 0.008 3.422275 22.78509 + 321 | 7.975607 5.211952 1.53 0.126 -2.250732 18.20195 + 322 | 6.725769 4.661066 1.44 0.149 -2.41968 15.87122 + 323 | 20.74882 7.469013 2.78 0.006 6.093912 35.40372 + 324 | 7.229133 6.052967 1.19 0.233 -4.647356 19.10562 + 325 | 14.69332 5.660438 2.60 0.010 3.58701 25.79963 + 331 | 29.05971 8.387876 3.46 0.001 12.60191 45.51751 + 332 | 16.0208 5.093444 3.15 0.002 6.026985 26.01462 + 333 | 22.71623 6.907141 3.29 0.001 9.163766 36.26868 + 334 | 19.63205 5.66757 3.46 0.001 8.511745 30.75235 + 335 | 12.65031 5.765913 2.19 0.028 1.337047 23.96357 + 336 | 26.82456 9.289695 2.89 0.004 8.597312 45.05182 + 341 | 8.357659 4.78063 1.75 0.081 -1.022386 17.7377 + 342 | 10.64809 5.544363 1.92 0.055 -.2304725 21.52665 + 343 | 7.269143 6.177247 1.18 0.240 -4.851196 19.38948 + 344 | 7.135369 7.731834 0.92 0.356 -8.035216 22.30595 + 398 | 22.79168 5.677215 4.01 0.000 11.65246 33.93091 + 399 | 6.317885 6.744973 0.94 0.349 -6.916384 19.55215 + 400 | 6.099423 7.99793 0.76 0.446 -9.593266 21.79211 + 401 | .7008929 6.094131 0.12 0.908 -11.25636 12.65815 + 402 | -2.628401 4.283975 -0.61 0.540 -11.03396 5.777161 + 403 | 5.025773 5.082345 0.99 0.323 -4.946265 14.99781 + 404 | 3.707081 4.989516 0.74 0.458 -6.082818 13.49698 + 405 | 16.22219 11.4257 1.42 0.156 -6.196109 38.64048 + 498 | 4.869324 5.66202 0.86 0.390 -6.24009 15.97874 + 499 | 1.30676 6.473432 0.20 0.840 -11.39472 14.00824 + 500 | 23.88264 13.01777 1.83 0.067 -1.659453 49.42474 + 501 | 2.634773 4.408013 0.60 0.550 -6.014163 11.28371 + 502 | 6.791945 4.796727 1.42 0.157 -2.619684 16.20357 + 503 | 12.83328 4.528913 2.83 0.005 3.947127 21.71943 + 504 | 11.54598 7.394371 1.56 0.119 -2.962471 26.05443 + 505 | 15.24846 6.829295 2.23 0.026 1.848745 28.64818 + 506 | 15.97644 7.266961 2.20 0.028 1.717982 30.2349 + 508 | 10.56557 5.896633 1.79 0.073 -1.004179 22.13532 + 529 | 9.674853 6.173848 1.57 0.117 -2.438817 21.78852 + 530 | 9.845446 4.38499 2.25 0.025 1.241683 18.44921 + 599 | 8.043426 9.048309 0.89 0.374 -9.710205 25.79706 + 600 | 11.58851 5.424931 2.14 0.033 .9442853 22.23273 + 601 | 13.62338 4.357449 3.13 0.002 5.073654 22.1731 + 602 | 16.02 4.501075 3.56 0.000 7.188471 24.85153 + 603 | 14.84114 5.77606 2.57 0.010 3.507966 26.17431 + 604 | 4.396858 5.409115 0.81 0.416 -6.216334 15.01005 + 606 | 17.49476 7.587012 2.31 0.021 2.608325 32.38119 + 607 | 9.204697 4.73217 1.95 0.052 -.0802657 18.48966 + 609 | 7.332605 7.61293 0.96 0.336 -7.604677 22.26989 + 698 | -.228767 4.668516 -0.05 0.961 -9.388834 8.9313 + 699 | 11.08061 6.002007 1.85 0.065 -.6958872 22.85711 + 700 | 5.178585 4.811132 1.08 0.282 -4.261308 14.61848 + 701 | 9.775499 4.953327 1.97 0.049 .0566079 19.49439 + 703 | 1.675634 4.265743 0.39 0.695 -6.694154 10.04542 + 704 | 1.261049 4.373124 0.29 0.773 -7.319431 9.841529 + 705 | 10.42048 6.8273 1.53 0.127 -2.975328 23.81628 + 707 | 28.40354 8.729532 3.25 0.001 11.27538 45.53171 + 708 | 12.26958 6.126382 2.00 0.045 .249039 24.29011 + 709 | 9.197802 4.635732 1.98 0.047 .1020621 18.29354 + 710 | 7.457482 4.776269 1.56 0.119 -1.914006 16.82897 + 711 | 10.75392 6.812151 1.58 0.115 -2.612163 24.12 + 798 | -3.080177 4.554147 -0.68 0.499 -12.01584 5.855486 + 799 | 6.194482 8.697131 0.71 0.476 -10.8701 23.25907 + 800 | 5.217727 4.970169 1.05 0.294 -4.53421 14.96966 + 801 | 11.53754 7.668121 1.50 0.133 -3.508035 26.58311 + 802 | 1.501785 4.555685 0.33 0.742 -7.436897 10.44047 + 803 | 2.30806 3.972206 0.58 0.561 -5.485781 10.1019 + 805 | -.2178041 4.834195 -0.05 0.964 -9.702948 9.26734 + 806 | 7.605065 4.583936 1.66 0.097 -1.389047 16.59918 + 807 | 7.828899 4.817901 1.62 0.104 -1.624275 17.28207 + 898 | 25.52955 13.23139 1.93 0.054 -.4316807 51.49078 + 899 | 1.85495 11.11749 0.17 0.868 -19.95861 23.66851 + 1000 | 14.56558 9.635016 1.51 0.131 -4.339222 33.47039 + 1001 | .7300146 4.428893 0.16 0.869 -7.95989 9.419919 + 1002 | 7.047689 5.120349 1.38 0.169 -2.998917 17.0943 + 1003 | 9.250806 4.486956 2.06 0.039 .4469782 18.05463 + 1005 | 18.31024 11.91891 1.54 0.125 -5.075788 41.69626 + 1006 | 11.43201 6.525846 1.75 0.080 -1.372311 24.23633 + 1007 | 4.888705 4.579732 1.07 0.286 -4.097158 13.87457 + 1010 | 1.292583 4.405144 0.29 0.769 -7.350723 9.93589 + 1098 | .9268804 5.03519 0.18 0.854 -8.952634 10.80639 + 1099 | -.1212263 4.685096 -0.03 0.979 -9.313825 9.071372 + 1200 | 27.3392 16.00891 1.71 0.088 -4.071783 58.75018 + 1201 | 10.80426 6.631743 1.63 0.104 -2.207843 23.81636 + 1202 | 12.01447 8.305749 1.45 0.148 -4.282186 28.31113 + 1203 | 3.762373 4.75104 0.79 0.429 -5.559614 13.08436 + 1204 | 10.80365 5.139687 2.10 0.036 .7191063 20.8882 + 1205 | 10.16575 7.036395 1.44 0.149 -3.640321 23.97181 + 1206 | 7.45762 5.291247 1.41 0.159 -2.924303 17.83954 + 1207 | 5.673624 4.597216 1.23 0.217 -3.346546 14.69379 + 1208 | 12.0841 4.54465 2.66 0.008 3.167074 21.00113 + 1209 | 13.9065 4.582621 3.03 0.002 4.914969 22.89803 + 1210 | 15.26644 6.576427 2.32 0.020 2.36287 28.17 + 1211 | 6.96789 5.068048 1.37 0.169 -2.976096 16.91188 + 1299 | 12.41309 5.988368 2.07 0.038 .6633457 24.16283 + 1300 | 9.984444 5.069748 1.97 0.049 .0371239 19.93177 + 1301 | 12.52209 6.096359 2.05 0.040 .5604573 24.48372 + 1302 | 1.524382 4.313564 0.35 0.724 -6.939235 9.987998 + 1303 | 6.614359 4.906272 1.35 0.178 -3.012208 16.24093 + 1304 | 19.07386 6.922264 2.76 0.006 5.491731 32.656 + 1305 | 12.31042 7.374253 1.67 0.095 -2.158557 26.7794 + 1399 | 8.199573 5.921303 1.38 0.166 -3.41858 19.81773 + 1400 | 13.66155 6.160852 2.22 0.027 1.573377 25.74972 + 1401 | 17.67788 5.831985 3.03 0.002 6.234981 29.12078 + 1403 | 8.731832 5.053969 1.73 0.084 -1.18453 18.64819 + 1404 | -2.333768 4.696219 -0.50 0.619 -11.54819 6.880654 + 1405 | 2.465179 5.045509 0.49 0.625 -7.434583 12.36494 + 1406 | 5.198705 4.753758 1.09 0.274 -4.128613 14.52602 + 1407 | 11.81744 5.461394 2.16 0.031 1.101677 22.53321 + 1408 | 9.845231 7.947961 1.24 0.216 -5.749414 25.43988 + 1409 | 16.72776 6.9663 2.40 0.017 3.059224 30.39629 + 1410 | 7.504887 5.493417 1.37 0.172 -3.273713 18.28349 + 1499 | 7.019258 6.174107 1.14 0.256 -5.094919 19.13343 + 1500 | 2.210054 4.831975 0.46 0.647 -7.270734 11.69084 + 1501 | 3.139076 4.353646 0.72 0.471 -5.403186 11.68134 + 1502 | 2.161002 4.828106 0.45 0.655 -7.312194 11.6342 + 1504 | 9.607061 5.507399 1.74 0.081 -1.198972 20.41309 + 1505 | 9.508458 5.653896 1.68 0.093 -1.585017 20.60193 + 1507 | .0903468 4.24479 0.02 0.983 -8.23833 8.419023 + 1520 | 9.468818 6.792707 1.39 0.164 -3.859112 22.79675 + 1521 | 7.603507 4.30482 1.77 0.078 -.8429534 16.04997 + 1522 | 2.323489 5.426041 0.43 0.669 -8.322913 12.96989 + 1523 | 5.519721 4.389775 1.26 0.209 -3.093429 14.13287 + 1524 | -8.57428 4.815367 -1.78 0.075 -18.02248 .8739218 + 1525 | 5.22139 4.523955 1.15 0.249 -3.655034 14.09781 + 1526 | -1.233162 4.407248 -0.28 0.780 -9.880597 7.414272 + 1599 | 11.26924 6.898284 1.63 0.103 -2.265842 24.80432 + 1600 | .8140589 6.180478 0.13 0.895 -11.31262 12.94074 + 1602 | 17.86302 16.05076 1.11 0.266 -13.63008 49.35612 + 1603 | 4.560646 7.50463 0.61 0.544 -10.16414 19.28543 + 1604 | -7.788994 5.403837 -1.44 0.150 -18.39183 2.813841 + 1605 | 3.060439 5.783869 0.53 0.597 -8.288054 14.40893 + 1606 | 23.40423 10.34756 2.26 0.024 3.101355 43.70711 + 1608 | 13.34289 4.992319 2.67 0.008 3.547495 23.13829 + 1609 | 18.83497 6.125517 3.07 0.002 6.816134 30.85381 + 1610 | 4.474609 5.241719 0.85 0.393 -5.810135 14.75935 + 1611 | -6.484496 4.351054 -1.49 0.136 -15.02167 2.05268 + 1612 | 5.58648 5.27012 1.06 0.289 -4.75399 15.92695 + 1614 | 3.595363 6.18499 0.58 0.561 -8.540167 15.73089 + 1615 | 6.787998 5.216064 1.30 0.193 -3.44641 17.02241 + 1616 | .2835475 5.033711 0.06 0.955 -9.593066 10.16016 + 1617 | -3.061283 5.950965 -0.51 0.607 -14.73763 8.615068 + 1619 | 2.310516 6.490278 0.36 0.722 -10.42402 15.04505 + 1620 | 13.0071 10.15298 1.28 0.200 -6.913999 32.9282 + 1698 | 1.850304 5.443775 0.34 0.734 -8.830894 12.5315 + 1699 | 26.21433 9.119221 2.87 0.004 8.321564 44.1071 + 1700 | 15.71645 8.603252 1.83 0.068 -1.163937 32.59684 + 1701 | 12.42537 5.442345 2.28 0.023 1.746976 23.10376 + 1704 | 6.324158 4.774326 1.32 0.186 -3.043518 15.69183 + 1705 | -12.60428 6.741937 -1.87 0.062 -25.8326 .6240311 + 1706 | 2.362083 4.591684 0.51 0.607 -6.647232 11.3714 + 1707 | 8.716272 6.179737 1.41 0.159 -3.408952 20.8415 + 1708 | 8.740637 6.430435 1.36 0.174 -3.876479 21.35775 + 1709 | 4.088141 4.80712 0.85 0.395 -5.34388 13.52016 + 1798 | 8.622895 7.823578 1.10 0.271 -6.7277 23.97349 + 1799 | 12.96218 11.77189 1.10 0.271 -10.13536 36.05972 + 1800 | 10.38316 7.937557 1.31 0.191 -5.191071 25.95739 + 1802 | 16.00051 6.764779 2.37 0.018 2.727381 29.27364 + 1803 | -3.061249 4.897803 -0.63 0.532 -12.6712 6.548701 + 1804 | 3.436388 5.984976 0.57 0.566 -8.306696 15.17947 + 1806 | 17.65404 11.21211 1.57 0.116 -4.345182 39.65325 + 1807 | -.7423494 4.032998 -0.18 0.854 -8.65547 7.170771 + 1808 | 95.06535 5.91685 16.07 0.000 83.45594 106.6748 + 1899 | 22.37833 29.81207 0.75 0.453 -36.11574 80.8724 + 1900 | 3.339939 5.916996 0.56 0.573 -8.269762 14.94964 + 1901 | 17.51232 5.919556 2.96 0.003 5.897591 29.12704 + 1902 | 13.62284 7.699477 1.77 0.077 -1.484252 28.72994 + 1905 | 34.85127 13.53013 2.58 0.010 8.303889 61.39864 + 1906 | 3.343422 5.893238 0.57 0.571 -8.219664 14.90651 + 1907 | 44.2943 31.02525 1.43 0.154 -16.58015 105.1688 + 1908 | 9.101116 9.859079 0.92 0.356 -10.24332 28.44555 + 1909 | 5.610818 15.00286 0.37 0.708 -23.82619 35.04783 + 1910 | -1.949734 4.8382 -0.40 0.687 -11.44274 7.543269 + 1911 | 10.62256 9.738585 1.09 0.276 -8.485461 29.73058 + 1914 | 19.50534 7.738325 2.52 0.012 4.322022 34.68866 + 1919 | -4.488902 4.442105 -1.01 0.312 -13.20473 4.226925 + 1920 | 7.007409 5.23152 1.34 0.181 -3.257325 17.27214 + 1925 | 4.034988 5.614286 0.72 0.472 -6.980768 15.05074 + 1926 | 29.12093 10.96278 2.66 0.008 7.610931 50.63094 + 1927 | 4.358653 7.243721 0.60 0.547 -9.854207 18.57151 + 1929 | 3.360799 10.31377 0.33 0.745 -16.8758 23.59739 + 1999 | -2.219699 5.164773 -0.43 0.667 -12.35347 7.914071 + 2000 | 6.441529 9.52152 0.68 0.499 -12.24059 25.12365 + 2001 | 9.390647 8.34594 1.13 0.261 -6.984872 25.76617 + 2002 | 9.220262 5.924958 1.56 0.120 -2.405063 20.84559 + 2003 | 33.71954 9.783524 3.45 0.001 14.52335 52.91574 + 2004 | 9.707644 5.212184 1.86 0.063 -.5191494 19.93444 + 2005 | 5.561308 5.751293 0.97 0.334 -5.723269 16.84588 + 2006 | 83.68222 12.82245 6.53 0.000 58.52337 108.8411 + 2007 | 6.928136 8.325061 0.83 0.405 -9.406415 23.26269 + 2008 | 8.240341 4.078086 2.02 0.044 .2387539 16.24193 + 2009 | 4.819036 4.745517 1.02 0.310 -4.492113 14.13018 + 2011 | 5.769063 5.76941 1.00 0.318 -5.55106 17.08919 + 2012 | 7.763191 5.865108 1.32 0.186 -3.744701 19.27108 + 2013 | 21.30963 5.775889 3.69 0.000 9.976797 32.64247 + 2014 | 35.62515 20.06529 1.78 0.076 -3.744839 74.99513 + 2015 | 9.533834 6.325358 1.51 0.132 -2.877113 21.94478 + 2030 | 23.61443 11.94262 1.98 0.048 .1818896 47.04698 + 2099 | 37.21574 19.25019 1.93 0.053 -.5549476 74.98643 + 2100 | 3.392541 5.548275 0.61 0.541 -7.493695 14.27878 + 2101 | 6.635152 4.515833 1.47 0.142 -2.225336 15.49564 + 2102 | 6.644329 4.71272 1.41 0.159 -2.602471 15.89113 + 2103 | 5.292906 4.20815 1.26 0.209 -2.963879 13.54969 + 2104 | .256318 4.0968 0.06 0.950 -7.781989 8.294625 + 2105 | 21.72287 4.796004 4.53 0.000 12.31266 31.13308 + 9999 | 41.3162 19.70808 2.10 0.036 2.647108 79.98529 + | + house_administration | 8.171597 4.606931 1.77 0.076 -.8676351 17.21083 + house_agriculture | 5.349165 1.74164 3.07 0.002 1.931905 8.766426 + house_appropriations | 4.342295 5.112455 0.85 0.396 -5.688821 14.37341 + house_armedservices | 5.968871 2.688032 2.22 0.027 .6946999 11.24304 + house_budget | -.003449 3.014486 -0.00 0.999 -5.918154 5.911256 + house_dc | -13.99297 6.575853 -2.13 0.034 -26.89541 -1.090529 + house_educlabor | 2.173676 1.238779 1.75 0.080 -.2569249 4.604276 + house_energycommerce | 2.923795 1.153111 2.54 0.011 .6612839 5.186307 + house_foreignaffairs | 5.32268 2.785833 1.91 0.056 -.1433856 10.78875 + house_governmentop | 7.553354 4.439981 1.70 0.089 -1.158305 16.26501 + house_intelligence | 15.43648 7.764054 1.99 0.047 .2026725 30.67028 + house_interior | .0536682 2.611525 0.02 0.984 -5.07039 5.177726 + house_judiciary | 1.910723 1.283493 1.49 0.137 -.6076095 4.429056 + house_mmf | 4.28992 3.164324 1.36 0.175 -1.918781 10.49862 + house_pocs | -5.082878 2.875015 -1.77 0.077 -10.72393 .5581714 + house_pwt | -.2234374 1.977536 -0.11 0.910 -4.10355 3.656675 + house_rules | 4.435961 3.625465 1.22 0.221 -2.677542 11.54946 + house_sst | 2.428444 3.402395 0.71 0.476 -4.247375 9.104262 + house_smallbusi | -2.009605 2.160568 -0.93 0.353 -6.248843 2.229633 + house_soc | -8.018889 11.05041 -0.73 0.468 -29.70082 13.66304 + house_veterans | .1963377 2.674222 0.07 0.941 -5.050736 5.443412 + house_waysandmeans | .1806565 1.036876 0.17 0.862 -1.853791 2.215104 +house_naturalresources | -.4574013 2.019913 -0.23 0.821 -4.420661 3.505858 + house_bfs | 2.909475 1.694774 1.72 0.086 -.4158306 6.23478 + house_eeo | -5.987376 2.156839 -2.78 0.006 -10.2193 -1.755455 + house_govreform | 7.476605 2.915718 2.56 0.010 1.755694 13.19752 + house_ir | 1.773228 2.717167 0.65 0.514 -3.558109 7.104564 + house_natsecur | 12.61278 6.499806 1.94 0.053 -.1404519 25.36601 + house_oversight | .8242453 3.126048 0.26 0.792 -5.309354 6.957844 + house_resources | 1.962238 2.0847 0.94 0.347 -2.128139 6.052614 + house_science | -1.77288 2.48792 -0.71 0.476 -6.654412 3.108652 + house_transp | -1.257744 1.517945 -0.83 0.408 -4.236096 1.720607 + house_homeland | 1.402489 3.019934 0.46 0.642 -4.522905 7.327883 + sponsor_democrat | 0 (omitted) + sponsor_rookie | -3.443827 1.242011 -2.77 0.006 -5.880769 -1.006884 + sponsor_tenure_run | .8040661 .5037163 1.60 0.111 -.1842726 1.792405 + sponsor_age | .0094596 .0460521 0.21 0.837 -.0808989 .099818 + leader | 4.877802 3.724557 1.31 0.191 -2.430129 12.18573 + ivycoll | -.1055922 1.000455 -0.11 0.916 -2.068579 1.857395 + black | .4883639 1.936295 0.25 0.801 -3.310828 4.287556 + occ0 | -1.118372 1.255854 -0.89 0.373 -3.582474 1.345731 + occ1 | .7244201 1.257729 0.58 0.565 -1.743363 3.192203 + occ2 | -3.909229 1.067397 -3.66 0.000 -6.003563 -1.814896 + occ3 | -1.183828 1.562362 -0.76 0.449 -4.249328 1.881673 + occ4 | .156772 1.487678 0.11 0.916 -2.762193 3.075737 + borninstate | 1.625874 .7698117 2.11 0.035 .1154316 3.136317 + tot_bills | -.3217875 .0399091 -8.06 0.000 -.4000929 -.243482 + NE | -4.724751 1.225535 -3.86 0.000 -7.129367 -2.320136 + MW | -2.421287 1.140104 -2.12 0.034 -4.658278 -.1842962 + WE | -.0320238 1.333192 -0.02 0.981 -2.647872 2.583824 + pct_black | 4.96351 4.361966 1.14 0.255 -3.595077 13.5221 + pct_urban | -5.182564 2.495218 -2.08 0.038 -10.07842 -.2867128 + pct_for_born | 6.560165 5.554849 1.18 0.238 -4.338969 17.4593 + pct_age_over65 | 35.39861 11.65895 3.04 0.002 12.52266 58.27456 + lninc | 11.23084 2.319876 4.84 0.000 6.679023 15.78265 + lnpden | .3776611 .3288075 1.15 0.251 -.26749 1.022812 + _cons | -104.8915 22.90809 -4.58 0.000 -149.8393 -59.94364 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,116 1 0 1 1 + + +j = 1 k = 3 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 13.03771 22.75762 .5728944 +---------------------------------------------- +reg numb_cosponsors sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 +> borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if sponsor_party==200 & tag_bill==1 & tenured==0, robust cluster(group +> _sponsor) +note: sponsor_democrat omitted because of collinearity + +Linear regression Number of obs = 11,886 + F(282, 1163) = . + Prob > F = . + R-squared = 0.1332 + Root MSE = 31.796 + + (Std. Err. adjusted for 1,164 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | .5802982 1.176654 0.49 0.622 -1.728304 2.888901 + | + v2 | + 102 | -.7294022 2.064266 -0.35 0.724 -4.779504 3.3207 + 103 | -1.022616 2.596638 -0.39 0.694 -6.117234 4.072003 + 104 | -.913657 2.613039 -0.35 0.727 -6.040455 4.213141 + 105 | 1.028803 2.628937 0.39 0.696 -4.129188 6.186793 + 106 | 1.793184 2.6593 0.67 0.500 -3.424378 7.010745 + 107 | 1.775189 2.65891 0.67 0.504 -3.441608 6.991985 + 108 | 1.887695 6.235411 0.30 0.762 -10.34622 14.12161 + 109 | .5286009 6.104634 0.09 0.931 -11.44873 12.50593 + 110 | -3.257558 6.18578 -0.53 0.599 -15.39409 8.878978 + 111 | -4.17556 6.199712 -0.67 0.501 -16.33943 7.988311 + | + minor | + 101 | -7.621909 6.560428 -1.16 0.246 -20.49351 5.249689 + 103 | -6.849678 7.652105 -0.90 0.371 -21.86315 8.163796 + 104 | -.7914158 8.006879 -0.10 0.921 -16.50096 14.91813 + 105 | 10.45901 7.003432 1.49 0.136 -3.281769 24.19978 + 107 | 6.131289 6.059674 1.01 0.312 -5.757827 18.0204 + 108 | -10.31163 6.932811 -1.49 0.137 -23.91385 3.290584 + 110 | 7.532107 19.95599 0.38 0.706 -31.62167 46.68588 + 200 | 2.785142 6.907776 0.40 0.687 -10.76796 16.33824 + 202 | 23.5019 16.27431 1.44 0.149 -8.428394 55.4322 + 204 | 3.681694 9.952205 0.37 0.711 -15.84459 23.20798 + 205 | 44.48774 32.51173 1.37 0.171 -19.30047 108.276 + 206 | 20.87113 10.09725 2.07 0.039 1.060253 40.682 + 207 | 24.15121 8.736964 2.76 0.006 7.009238 41.29319 + 208 | 1.275846 6.320252 0.20 0.840 -11.12452 13.67622 + 209 | -11.4886 6.136169 -1.87 0.061 -23.52779 .5506027 + 299 | 36.51304 27.40989 1.33 0.183 -17.26532 90.2914 + 300 | -3.908526 7.453114 -0.52 0.600 -18.53158 10.71453 + 301 | 2.703905 7.183289 0.38 0.707 -11.38975 16.79756 + 302 | 5.257194 6.33969 0.83 0.407 -7.181316 17.6957 + 321 | 9.627021 8.015712 1.20 0.230 -6.099854 25.3539 + 322 | .2749174 7.011218 0.04 0.969 -13.48113 14.03097 + 323 | 7.357162 8.552149 0.86 0.390 -9.422204 24.13653 + 324 | 4.331119 8.776131 0.49 0.622 -12.8877 21.54994 + 325 | -.1436373 6.764057 -0.02 0.983 -13.41476 13.12748 + 331 | 11.22554 8.242865 1.36 0.174 -4.947014 27.39809 + 332 | 5.798912 8.027 0.72 0.470 -9.950109 21.54793 + 333 | -5.45543 6.941165 -0.79 0.432 -19.07404 8.163176 + 334 | 8.358539 6.821773 1.23 0.221 -5.02582 21.7429 + 335 | 3.035263 9.45664 0.32 0.748 -15.51872 21.58925 + 336 | 7.40188 10.30183 0.72 0.473 -12.81037 27.61412 + 341 | 9.598044 9.229567 1.04 0.299 -8.51042 27.70651 + 342 | 17.36542 12.81029 1.36 0.175 -7.768445 42.49929 + 343 | -5.35724 6.693248 -0.80 0.424 -18.48943 7.774951 + 344 | 46.04258 16.186 2.84 0.005 14.28554 77.79961 + 398 | 9.224547 7.195052 1.28 0.200 -4.892188 23.34128 + 399 | 21.88634 25.03004 0.87 0.382 -27.22276 70.99543 + 400 | 4.416555 10.83046 0.41 0.684 -16.83287 25.66598 + 401 | -2.236401 6.687108 -0.33 0.738 -15.35655 10.88374 + 402 | 1.15929 6.721713 0.17 0.863 -12.02875 14.34733 + 403 | 17.93457 12.61432 1.42 0.155 -6.8148 42.68395 + 404 | 3.841167 11.51545 0.33 0.739 -18.75222 26.43455 + 405 | 3.748522 8.359659 0.45 0.654 -12.65318 20.15022 + 498 | 18.71569 15.58368 1.20 0.230 -11.85957 49.29096 + 499 | 24.13988 18.21428 1.33 0.185 -11.59664 59.8764 + 500 | -1.045602 9.324304 -0.11 0.911 -19.33994 17.24874 + 501 | 5.87876 8.763988 0.67 0.502 -11.31624 23.07376 + 502 | -.3992726 6.550796 -0.06 0.951 -13.25197 12.45343 + 503 | .439621 6.391674 0.07 0.945 -12.10088 12.98012 + 504 | 23.08774 9.487622 2.43 0.015 4.472973 41.70251 + 505 | -.796304 6.258399 -0.13 0.899 -13.07532 11.48271 + 506 | 20.95486 15.98369 1.31 0.190 -10.40523 52.31494 + 508 | -.6629075 7.303378 -0.09 0.928 -14.99218 13.66636 + 529 | 14.5513 12.40673 1.17 0.241 -9.790782 38.89339 + 530 | 3.145161 6.355748 0.49 0.621 -9.324853 15.61518 + 599 | 15.43782 6.174024 2.50 0.013 3.324346 27.55129 + 600 | 11.76603 8.314368 1.42 0.157 -4.546813 28.07887 + 601 | 2.969986 6.234765 0.48 0.634 -9.262659 15.20263 + 602 | 2.591353 6.182275 0.42 0.675 -9.538306 14.72101 + 603 | .5629822 6.58913 0.09 0.932 -12.36493 13.49089 + 604 | -7.623751 6.656915 -1.15 0.252 -20.68466 5.437155 + 606 | .1014783 7.409547 0.01 0.989 -14.4361 14.63905 + 607 | 9.654627 9.733123 0.99 0.321 -9.441817 28.75107 + 609 | -2.193001 8.680876 -0.25 0.801 -19.22493 14.83893 + 698 | -6.169713 12.39283 -0.50 0.619 -30.48452 18.14509 + 699 | -4.701513 7.637529 -0.62 0.538 -19.68639 10.28336 + 700 | -3.785099 6.721309 -0.56 0.573 -16.97235 9.402147 + 701 | -3.988811 7.110908 -0.56 0.575 -17.94045 9.962832 + 703 | -1.881088 6.734753 -0.28 0.780 -15.09471 11.33254 + 704 | -7.037811 6.133065 -1.15 0.251 -19.07092 4.995298 + 705 | 2.107722 6.709302 0.31 0.753 -11.05597 15.27141 + 707 | 25.14463 12.06773 2.08 0.037 1.467671 48.82159 + 708 | -1.89037 8.459916 -0.22 0.823 -18.48877 14.70803 + 709 | 5.735738 6.625152 0.87 0.387 -7.26285 18.73433 + 710 | .4738812 6.542321 0.07 0.942 -12.36219 13.30995 + 711 | -5.408187 6.23245 -0.87 0.386 -17.63629 6.819917 + 798 | -10.81869 7.828862 -1.38 0.167 -26.17896 4.541587 + 799 | -1.314933 6.923555 -0.19 0.849 -14.89899 12.26912 + 800 | -9.384336 6.806343 -1.38 0.168 -22.73842 3.96975 + 801 | -14.5117 6.180349 -2.35 0.019 -26.63758 -2.385822 + 802 | -8.626198 6.390377 -1.35 0.177 -21.16416 3.911758 + 803 | -.508139 6.282128 -0.08 0.936 -12.83371 11.81743 + 805 | -8.872851 6.228321 -1.42 0.155 -21.09285 3.347152 + 806 | .6606657 6.967188 0.09 0.924 -13.009 14.33033 + 807 | -5.130194 6.508004 -0.79 0.431 -17.89894 7.638547 + 898 | -14.83526 6.943556 -2.14 0.033 -28.45856 -1.211961 + 899 | -12.21204 6.303281 -1.94 0.053 -24.57911 .1550393 + 1000 | .7777843 8.969167 0.09 0.931 -16.81977 18.37534 + 1001 | -7.703793 6.378679 -1.21 0.227 -20.2188 4.811212 + 1002 | -.5298736 6.807921 -0.08 0.938 -13.88706 12.82731 + 1003 | 1.176777 6.723137 0.18 0.861 -12.01406 14.36761 + 1005 | 3.956158 11.4195 0.35 0.729 -18.44896 26.36128 + 1006 | 3.990092 7.632355 0.52 0.601 -10.98463 18.96482 + 1007 | -6.843312 6.052741 -1.13 0.258 -18.71882 5.032202 + 1010 | -6.891393 7.365806 -0.94 0.350 -21.34315 7.56036 + 1098 | -16.48895 8.871145 -1.86 0.063 -33.89419 .9162836 + 1099 | 3.683517 9.364209 0.39 0.694 -14.68912 22.05615 + 1200 | 9.977051 11.87837 0.84 0.401 -13.32838 33.28248 + 1201 | -1.057814 7.202298 -0.15 0.883 -15.18877 13.07314 + 1202 | .5849424 9.791 0.06 0.952 -18.62506 19.79494 + 1203 | -1.709812 6.575028 -0.26 0.795 -14.61006 11.19043 + 1204 | 1.779967 6.907865 0.26 0.797 -11.7733 15.33324 + 1205 | 2.741151 7.131861 0.38 0.701 -11.2516 16.7339 + 1206 | -4.284692 6.846838 -0.63 0.532 -17.71823 9.148844 + 1207 | -.0829197 6.42688 -0.01 0.990 -12.6925 12.52666 + 1208 | 16.48724 7.775488 2.12 0.034 1.231685 31.74279 + 1209 | 11.98325 6.676681 1.79 0.073 -1.116434 25.08294 + 1210 | .4982595 6.542496 0.08 0.939 -12.33816 13.33467 + 1211 | 5.668025 7.261433 0.78 0.435 -8.57895 19.915 + 1299 | -7.826655 6.640274 -1.18 0.239 -20.85491 5.201602 + 1300 | -.8403617 7.717433 -0.11 0.913 -15.98201 14.30129 + 1301 | 14.1989 16.29159 0.87 0.384 -17.76529 46.1631 + 1302 | 5.372756 7.796033 0.69 0.491 -9.923105 20.66862 + 1303 | 1.287478 6.482774 0.20 0.843 -11.43176 14.00672 + 1304 | 28.0128 12.69593 2.21 0.028 3.103321 52.92228 + 1305 | 7.613027 8.234454 0.92 0.355 -8.54302 23.76908 + 1399 | -16.07485 6.063417 -2.65 0.008 -27.97131 -4.178387 + 1400 | 3.601211 9.874495 0.36 0.715 -15.77261 22.97503 + 1401 | 10.03208 8.829934 1.14 0.256 -7.292303 27.35646 + 1403 | 5.544624 13.7149 0.40 0.686 -21.36409 32.45333 + 1404 | -2.018052 12.19375 -0.17 0.869 -25.94227 21.90616 + 1405 | -5.125806 6.478038 -0.79 0.429 -17.83575 7.584143 + 1406 | -.3063952 10.28305 -0.03 0.976 -20.4818 19.86901 + 1407 | -4.016444 6.987344 -0.57 0.566 -17.72565 9.692766 + 1408 | 9.292364 10.95695 0.85 0.397 -12.20523 30.78996 + 1409 | 3.096151 8.060884 0.38 0.701 -12.71935 18.91165 + 1410 | 10.5305 9.926742 1.06 0.289 -8.945825 30.00683 + 1499 | -14.90308 6.370892 -2.34 0.019 -27.40281 -2.403356 + 1500 | -3.72251 7.42763 -0.50 0.616 -18.29556 10.85054 + 1501 | -2.338906 6.426672 -0.36 0.716 -14.94807 10.27026 + 1502 | -4.7146 6.867661 -0.69 0.493 -18.18899 8.759791 + 1504 | 2.425031 7.03473 0.34 0.730 -11.37715 16.22721 + 1505 | 10.65725 9.366187 1.14 0.255 -7.719259 29.03377 + 1507 | -6.685765 6.858981 -0.97 0.330 -20.14313 6.771596 + 1520 | 10.20743 19.27563 0.53 0.597 -27.61147 48.02634 + 1521 | 1.408389 6.311772 0.22 0.823 -10.97534 13.79212 + 1522 | 5.830142 10.01907 0.58 0.561 -13.82732 25.48761 + 1523 | -1.453811 6.073361 -0.24 0.811 -13.36978 10.46216 + 1524 | 12.53151 11.44335 1.10 0.274 -9.920412 34.98342 + 1525 | -1.526835 7.098972 -0.22 0.830 -15.45506 12.40139 + 1526 | 6.9712 8.216154 0.85 0.396 -9.148941 23.09134 + 1599 | 11.96533 10.10399 1.18 0.237 -7.858753 31.78941 + 1600 | -6.662207 8.632299 -0.77 0.440 -23.59883 10.27441 + 1602 | 2.961942 18.75904 0.16 0.875 -33.8434 39.76729 + 1603 | -15.48321 13.39362 -1.16 0.248 -41.76157 10.79514 + 1604 | 9.022415 13.25774 0.68 0.496 -16.98934 35.03417 + 1605 | -9.926509 7.968722 -1.25 0.213 -25.56119 5.708171 + 1606 | -16.28957 6.324106 -2.58 0.010 -28.6975 -3.881635 + 1608 | 14.24532 7.575676 1.88 0.060 -.6181974 29.10884 + 1609 | 2.158637 6.325105 0.34 0.733 -10.25126 14.56853 + 1610 | -8.803368 6.982574 -1.26 0.208 -22.50322 4.896484 + 1611 | -8.081022 6.247424 -1.29 0.196 -20.33851 4.176461 + 1612 | 7.965174 8.154846 0.98 0.329 -8.034681 23.96503 + 1614 | -10.58695 7.675975 -1.38 0.168 -25.64726 4.473354 + 1615 | -4.069339 6.234713 -0.65 0.514 -16.30188 8.163203 + 1616 | -11.92304 6.081112 -1.96 0.050 -23.85422 .0081356 + 1617 | -6.335853 6.461971 -0.98 0.327 -19.01428 6.342573 + 1619 | 4.38427 11.01623 0.40 0.691 -17.22964 25.99818 + 1620 | -4.264335 6.696642 -0.64 0.524 -17.40319 8.874516 + 1698 | -13.55732 6.418642 -2.11 0.035 -26.15073 -.9639069 + 1699 | 6.135956 9.431405 0.65 0.515 -12.36851 24.64043 + 1700 | 16.005 24.95206 0.64 0.521 -32.95108 64.96109 + 1701 | -7.386489 8.801849 -0.84 0.402 -24.65577 9.88279 + 1704 | 1.583807 8.632163 0.18 0.854 -15.35255 18.52016 + 1705 | -20.23933 12.44592 -1.63 0.104 -44.6583 4.179647 + 1706 | 1.397343 7.791878 0.18 0.858 -13.89037 16.68505 + 1707 | 9.615476 9.012452 1.07 0.286 -8.067009 27.29796 + 1708 | -5.156805 7.367685 -0.70 0.484 -19.61225 9.298637 + 1709 | 14.64781 8.782855 1.67 0.096 -2.584199 31.87983 + 1798 | -12.59113 6.576298 -1.91 0.056 -25.49387 .3116025 + 1799 | -8.804902 7.472733 -1.18 0.239 -23.46645 5.856643 + 1800 | -9.124535 6.978944 -1.31 0.191 -22.81726 4.568194 + 1802 | -2.385169 6.547318 -0.36 0.716 -15.23105 10.46071 + 1803 | 15.75186 12.8752 1.22 0.221 -9.50937 41.01308 + 1804 | 1.733303 9.283899 0.19 0.852 -16.48176 19.94837 + 1806 | -8.892553 6.25097 -1.42 0.155 -21.15699 3.371887 + 1807 | -13.40023 5.880454 -2.28 0.023 -24.93772 -1.862746 + 1808 | -16.26732 6.499734 -2.50 0.012 -29.01984 -3.514807 + 1899 | 9.098796 20.17279 0.45 0.652 -30.48034 48.67793 + 1900 | 2.190379 9.827583 0.22 0.824 -17.0914 21.47215 + 1901 | 4.071293 7.544994 0.54 0.590 -10.73203 18.87462 + 1902 | 3.995681 7.510202 0.53 0.595 -10.73938 18.73074 + 1905 | -7.164424 6.831438 -1.05 0.295 -20.56774 6.238898 + 1906 | -10.65183 6.212088 -1.71 0.087 -22.83998 1.536322 + 1907 | -7.635595 6.862925 -1.11 0.266 -21.10069 5.829504 + 1908 | -6.39363 7.27023 -0.88 0.379 -20.65786 7.870603 + 1909 | -22.86185 7.349016 -3.11 0.002 -37.28066 -8.443034 + 1910 | 17.06926 9.289728 1.84 0.066 -1.157241 35.29576 + 1911 | -.2917479 7.182311 -0.04 0.968 -14.38348 13.79999 + 1914 | 26.21374 13.57279 1.93 0.054 -.4161495 52.84363 + 1919 | -3.271515 8.063241 -0.41 0.685 -19.09164 12.54861 + 1920 | 4.663314 9.871744 0.47 0.637 -14.70511 24.03173 + 1925 | 9.637351 10.34469 0.93 0.352 -10.65899 29.93369 + 1926 | 10.74168 7.463306 1.44 0.150 -3.901374 25.38473 + 1927 | 4.104656 8.280817 0.50 0.620 -12.14236 20.35167 + 1929 | 3.823727 8.37421 0.46 0.648 -12.60652 20.25398 + 1999 | -9.693255 9.688353 -1.00 0.317 -28.70186 9.31535 + 2000 | -9.043359 7.398521 -1.22 0.222 -23.5593 5.472582 + 2001 | -.6071621 6.299415 -0.10 0.923 -12.96665 11.75233 + 2002 | 2.354061 6.419788 0.37 0.714 -10.2416 14.94972 + 2003 | 10.78435 9.700411 1.11 0.266 -8.247907 29.81662 + 2004 | .4711482 6.230277 0.08 0.940 -11.75269 12.69499 + 2005 | -4.367734 6.880519 -0.63 0.526 -17.86735 9.131884 + 2006 | 78.02181 14.44136 5.40 0.000 49.68777 106.3558 + 2007 | .1955925 8.319665 0.02 0.981 -16.12764 16.51882 + 2008 | 3.131756 6.144993 0.51 0.610 -8.924757 15.18827 + 2009 | 1.913682 9.493224 0.20 0.840 -16.71208 20.53944 + 2011 | 3.600134 6.289484 0.57 0.567 -8.739871 15.94014 + 2012 | -4.691989 6.106727 -0.77 0.442 -16.67342 7.289445 + 2013 | -5.499104 7.621514 -0.72 0.471 -20.45256 9.454352 + 2014 | -1.147793 7.379056 -0.16 0.876 -15.62554 13.32996 + 2015 | 2.444264 10.21064 0.24 0.811 -17.58907 22.4776 + 2030 | -1.148532 8.883672 -0.13 0.897 -18.57835 16.28129 + 2099 | 32.18085 31.38114 1.03 0.305 -29.38914 93.75084 + 2100 | -7.472566 6.08307 -1.23 0.220 -19.40758 4.462452 + 2101 | -3.011114 5.984807 -0.50 0.615 -14.75334 8.731113 + 2102 | -6.806429 5.949091 -1.14 0.253 -18.47858 4.865723 + 2103 | -6.576691 5.879561 -1.12 0.264 -18.11243 4.959043 + 2104 | -7.880919 5.966909 -1.32 0.187 -19.58803 3.826192 + 2105 | 19.34834 25.84429 0.75 0.454 -31.35832 70.055 + 2199 | 1.449833 7.143445 0.20 0.839 -12.56565 15.46531 + 9999 | 21.45898 22.46534 0.96 0.340 -22.61814 65.5361 + | + house_administration | -2.25146 2.111 -1.07 0.286 -6.393255 1.890335 + house_agriculture | 4.511051 1.99531 2.26 0.024 .5962401 8.425861 + house_appropriations | 15.81392 3.861466 4.10 0.000 8.237696 23.39013 + house_armedservices | 4.542193 2.480444 1.83 0.067 -.3244515 9.408838 + house_budget | -1.632855 2.862511 -0.57 0.568 -7.249119 3.983409 + house_dc | -5.03127 5.041059 -1.00 0.318 -14.92186 4.859317 + house_educlabor | .4178247 1.775367 0.24 0.814 -3.065457 3.901106 + house_energycommerce | 4.979728 1.369808 3.64 0.000 2.292157 7.667298 + house_foreignaffairs | -.3364864 2.87028 -0.12 0.907 -5.967992 5.295019 + house_governmentop | 3.985444 3.125613 1.28 0.203 -2.147027 10.11791 + house_intelligence | 47.98808 17.86099 2.69 0.007 12.94471 83.03145 + house_interior | -3.914357 1.707683 -2.29 0.022 -7.264841 -.5638736 + house_judiciary | 2.899223 1.325811 2.19 0.029 .2979742 5.500472 + house_mmf | -1.316219 2.319184 -0.57 0.570 -5.866472 3.234035 + house_pocs | 1.38532 3.828964 0.36 0.718 -6.127131 8.89777 + house_pwt | -2.037529 2.454804 -0.83 0.407 -6.853869 2.778812 + house_rules | 5.741915 2.2328 2.57 0.010 1.361148 10.12268 + house_sst | 11.05265 9.168919 1.21 0.228 -6.936822 29.04212 + house_smallbusi | -6.072671 2.576696 -2.36 0.019 -11.12816 -1.017179 + house_soc | -12.5375 5.113616 -2.45 0.014 -22.57044 -2.504553 + house_veterans | 2.860694 2.529647 1.13 0.258 -2.102489 7.823877 + house_waysandmeans | 2.478778 1.20887 2.05 0.041 .1069674 4.850589 +house_naturalresources | .6871532 1.455747 0.47 0.637 -2.169031 3.543338 + house_bfs | 3.347064 2.308303 1.45 0.147 -1.18184 7.875969 + house_eeo | 2.725138 4.257743 0.64 0.522 -5.62858 11.07885 + house_govreform | -1.259744 1.604643 -0.79 0.433 -4.408063 1.888576 + house_ir | .6340956 3.146157 0.20 0.840 -5.538682 6.806873 + house_natsecur | 3.310739 3.741326 0.88 0.376 -4.029765 10.65124 + house_oversight | 4.228462 2.002093 2.11 0.035 .3003432 8.15658 + house_resources | -3.009969 1.431521 -2.10 0.036 -5.818621 -.2013172 + house_science | 1.370365 2.52848 0.54 0.588 -3.590527 6.331257 + house_transp | -.7575703 1.43386 -0.53 0.597 -3.570812 2.055671 + house_homeland | -2.611301 1.900708 -1.37 0.170 -6.340501 1.117899 + sponsor_democrat | 0 (omitted) + sponsor_rookie | -1.349604 1.267875 -1.06 0.287 -3.837182 1.137974 + sponsor_tenure_run | 1.101204 .5794359 1.90 0.058 -.0356526 2.238061 + sponsor_age | -.0431536 .0431924 -1.00 0.318 -.1278975 .0415902 + leader | -.466172 2.636615 -0.18 0.860 -5.639227 4.706883 + ivycoll | .7015661 1.401186 0.50 0.617 -2.047569 3.450701 + black | -5.795951 4.627612 -1.25 0.211 -14.87535 3.283451 + occ0 | 1.879247 1.288442 1.46 0.145 -.6486832 4.407178 + occ1 | 2.691229 1.953171 1.38 0.169 -1.140903 6.523361 + occ2 | 2.020545 1.19138 1.70 0.090 -.3169501 4.35804 + occ3 | 3.185878 1.682058 1.89 0.058 -.1143299 6.486086 + occ4 | 3.952589 1.107423 3.57 0.000 1.779819 6.12536 + borninstate | .2722135 .7275465 0.37 0.708 -1.155237 1.699664 + tot_bills | -.0736233 .0397908 -1.85 0.065 -.151693 .0044465 + NE | -4.517104 1.217828 -3.71 0.000 -6.906491 -2.127718 + MW | .0706255 1.222344 0.06 0.954 -2.327621 2.468872 + WE | -2.294297 1.228008 -1.87 0.062 -4.703655 .1150614 + pct_black | -11.24444 5.177847 -2.17 0.030 -21.40341 -1.085475 + pct_urban | 6.080263 2.671019 2.28 0.023 .8397086 11.32082 + pct_for_born | -17.18534 6.730335 -2.55 0.011 -30.3903 -3.980383 + pct_age_over65 | 2.713681 10.52268 0.26 0.797 -17.93188 23.35924 + lninc | 1.744746 2.62179 0.67 0.506 -3.399222 6.888714 + lnpden | -.032235 .382413 -0.08 0.933 -.7825316 .7180616 + _cons | -8.284631 26.50011 -0.31 0.755 -60.278 43.70874 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,164 1 0 1 1 + + +j = 2 k = 1 + + +rdbwselect_2014 numb_cosponsors MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11990 +----------------------+---------------------- NN matches = 3 + Number of obs | 6151 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 25.22792 46.13311 .5468506 +---------------------------------------------- +reg numb_cosponsors sponsor_female i.v2 MV1_female femaleXMV1_female if tag_bill==1 & sample==1 & abs(MV1_female)<=25.22792045028391 & tenured==0, robust cluster(gr +> oup_sponsor) + +Linear regression Number of obs = 3,019 + F(13, 282) = 2.42 + Prob > F = 0.0040 + R-squared = 0.0108 + Root MSE = 30.113 + + (Std. Err. adjusted for 283 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | 4.39848 2.888304 1.52 0.129 -1.286892 10.08385 + | + v2 | + 102 | -4.214116 4.541367 -0.93 0.354 -13.1534 4.725165 + 103 | -4.538012 4.507626 -1.01 0.315 -13.41088 4.334853 + 104 | -.9384196 4.564553 -0.21 0.837 -9.92334 8.046501 + 105 | -3.003703 4.379166 -0.69 0.493 -11.62371 5.616299 + 106 | -2.110389 4.640922 -0.45 0.650 -11.24564 7.024857 + 107 | -.0160538 4.880411 -0.00 0.997 -9.622713 9.590606 + 108 | -2.776886 4.781147 -0.58 0.562 -12.18815 6.634381 + 109 | -8.195949 4.381532 -1.87 0.062 -16.82061 .4287119 + 110 | -3.497148 4.349399 -0.80 0.422 -12.05856 5.064262 + 111 | -8.935481 4.092872 -2.18 0.030 -16.99194 -.8790223 + | + MV1_female | -.1705522 .1195601 -1.43 0.155 -.4058957 .0647912 +femaleXMV1_female | .1764134 .213361 0.83 0.409 -.243569 .5963957 + _cons | 15.44275 4.160181 3.71 0.000 7.253796 23.63169 +----------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 283 1 0 1 1 + + +j = 2 k = 2 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6187 +----------------------+---------------------- NN matches = 3 + Number of obs | 2193 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 29.70309 50.99673 .5824509 +---------------------------------------------- +reg numb_cosponsors sponsor_female i.v2 MV1_female femaleXMV1_female if sponsor_party==100 & tag_bill==1 & sample==1 & abs(MV1_female)<=29.70309229792696 & tenured= +> =0, robust cluster(group_sponsor) + +Linear regression Number of obs = 1,538 + F(13, 140) = 1.59 + Prob > F = 0.0953 + R-squared = 0.0185 + Root MSE = 30.634 + + (Std. Err. adjusted for 141 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | 2.46386 4.640748 0.53 0.596 -6.711147 11.63887 + | + v2 | + 102 | -1.526298 6.001321 -0.25 0.800 -13.39123 10.33864 + 103 | -5.129185 5.419925 -0.95 0.346 -15.84467 5.586298 + 104 | .4896762 6.77626 0.07 0.942 -12.90735 13.88671 + 105 | .5996928 6.007357 0.10 0.921 -11.27717 12.47656 + 106 | 5.61607 7.279236 0.77 0.442 -8.775371 20.00751 + 107 | 2.284492 6.811173 0.34 0.738 -11.18156 15.75055 + 108 | -3.516054 6.155947 -0.57 0.569 -15.68669 8.654584 + 109 | -3.682558 7.582327 -0.49 0.628 -18.67323 11.30811 + 110 | -.0722539 6.323151 -0.01 0.991 -12.57346 12.42896 + 111 | -6.30964 5.642102 -1.12 0.265 -17.46438 4.845099 + | + MV1_female | .0715459 .222833 0.32 0.749 -.3690069 .5120987 +femaleXMV1_female | .0288243 .2953696 0.10 0.922 -.5551373 .6127859 + _cons | 15.43631 7.195716 2.15 0.034 1.209997 29.66263 +----------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 141 1 0 1 1 + + +j = 2 k = 3 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 13.03771 22.75762 .5728944 +---------------------------------------------- +reg numb_cosponsors sponsor_female i.v2 MV1_female femaleXMV1_female if sponsor_party==200 & tag_bill==1 & sample==1 & abs(MV1_female)<=13.03771312569015 & tenured= +> =0, robust cluster(group_sponsor) + +Linear regression Number of obs = 817 + F(12, 73) = . + Prob > F = . + R-squared = 0.0275 + Root MSE = 27.398 + + (Std. Err. adjusted for 74 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | 3.369594 5.320279 0.63 0.528 -7.233708 13.9729 + | + v2 | + 102 | 1.181936 5.054464 0.23 0.816 -8.891597 11.25547 + 103 | -1.228781 1.570923 -0.78 0.437 -4.359626 1.902064 + 104 | 4.689447 2.09993 2.23 0.029 .5042913 8.874602 + 105 | 2.30083 3.564201 0.65 0.521 -4.802611 9.404272 + 106 | 1.7612 1.633644 1.08 0.285 -1.494649 5.017048 + 107 | 6.099896 3.240648 1.88 0.064 -.3587056 12.5585 + 108 | 23.16339 5.725259 4.05 0.000 11.75296 34.57381 + 109 | -1.703292 2.141469 -0.80 0.429 -5.971234 2.564651 + 110 | -.800262 2.415121 -0.33 0.741 -5.613592 4.013068 + 111 | -5.525868 1.631839 -3.39 0.001 -8.778118 -2.273617 + | + MV1_female | -.5818821 .3249587 -1.79 0.077 -1.229524 .0657597 +femaleXMV1_female | .3844937 .6790578 0.57 0.573 -.9688665 1.737854 + _cons | 8.419831 1.872463 4.50 0.000 4.688018 12.15164 +----------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 74 1 0 1 1 + + +j = 3 k = 1 + + +rdbwselect_2014 numb_cosponsors MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11990 +----------------------+---------------------- NN matches = 3 + Number of obs | 6151 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 25.22792 46.13311 .5468506 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(56,929 missing values generated) +(59,765 missing values generated) +(2,836 real changes made) +reg numb_cosponsors sponsor_female i.v2 MV1_female femaleXMV1_female i.minor house_* [aw=wt] if tag_bill==1 & sample==1 & tenured==0 & abs(MV1_female)<=25.227920450 +> 28391, robust cluster(group_sponsor) +(sum of wgt is 6,290.26032292843) + +Linear regression Number of obs = 3,019 + F(227, 282) = . + Prob > F = . + R-squared = 0.1722 + Root MSE = 28.574 + + (Std. Err. adjusted for 283 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 3.457034 2.453832 1.41 0.160 -1.373119 8.287186 + | + v2 | + 102 | .0815781 4.188982 0.02 0.984 -8.164063 8.32722 + 103 | -3.146891 3.585165 -0.88 0.381 -10.20397 3.910191 + 104 | 1.570063 4.139263 0.38 0.705 -6.577711 9.717837 + 105 | -.4132757 3.823925 -0.11 0.914 -7.940335 7.113784 + 106 | -.0973392 4.240786 -0.02 0.982 -8.444953 8.250275 + 107 | 1.227362 4.104846 0.30 0.765 -6.852667 9.30739 + 108 | -2.239619 4.242752 -0.53 0.598 -10.5911 6.111865 + 109 | -3.150402 3.592241 -0.88 0.381 -10.22141 3.920608 + 110 | -.6624109 3.607803 -0.18 0.854 -7.764054 6.439232 + 111 | -6.329195 3.251368 -1.95 0.053 -12.72923 .0708351 + | + MV1_female | -.1931235 .1157834 -1.67 0.096 -.4210329 .0347858 + femaleXMV1_female | .2390968 .1952123 1.22 0.222 -.1451613 .623355 + | + minor | + 101 | -10.41944 13.91899 -0.75 0.455 -37.81773 16.97886 + 104 | -10.25809 14.09261 -0.73 0.467 -37.99815 17.48196 + 105 | -2.617521 13.06717 -0.20 0.841 -28.33909 23.10405 + 107 | -3.079159 13.22904 -0.23 0.816 -29.11936 22.96104 + 108 | 23.52503 13.15272 1.79 0.075 -2.36494 49.415 + 200 | -1.774868 15.06729 -0.12 0.906 -31.43349 27.88376 + 202 | 2.61692 17.39342 0.15 0.881 -31.62049 36.85433 + 205 | -13.82257 13.05581 -1.06 0.291 -39.52178 11.87665 + 206 | 22.50502 17.46163 1.29 0.199 -11.86667 56.8767 + 207 | 20.85706 16.45548 1.27 0.206 -11.5341 53.24821 + 208 | -5.745318 13.43146 -0.43 0.669 -32.18397 20.69333 + 209 | -11.41944 13.91899 -0.82 0.413 -38.81773 15.97886 + 299 | 30.0452 13.52938 2.22 0.027 3.413806 56.67659 + 300 | -10.17995 13.01963 -0.78 0.435 -35.80795 15.44805 + 301 | -1.506556 13.54671 -0.11 0.912 -28.17206 25.15895 + 302 | 8.140114 13.45309 0.61 0.546 -18.34112 34.62135 + 321 | 2.536441 15.32403 0.17 0.869 -27.62756 32.70044 + 322 | -1.38715 13.78119 -0.10 0.920 -28.51422 25.73992 + 323 | 5.339559 16.9627 0.31 0.753 -28.05002 38.72914 + 324 | -8.584577 14.0793 -0.61 0.543 -36.29843 19.12928 + 325 | 13.5433 22.35318 0.61 0.545 -30.45696 57.54356 + 331 | 29.10194 22.79575 1.28 0.203 -15.76948 73.97336 + 332 | 2.992496 16.03533 0.19 0.852 -28.57163 34.55662 + 333 | 12.98174 22.6506 0.57 0.567 -31.60398 57.56746 + 334 | 3.908233 16.57351 0.24 0.814 -28.71527 36.53174 + 335 | 2.60936 17.77091 0.15 0.883 -32.37112 37.58984 + 336 | 42.66789 32.98097 1.29 0.197 -22.25225 107.588 + 341 | -5.634275 13.69826 -0.41 0.681 -32.59809 21.32954 + 342 | -5.81791 15.35155 -0.38 0.705 -36.03609 24.40027 + 343 | -4.589871 12.89643 -0.36 0.722 -29.97536 20.79562 + 344 | -10.96774 13.12871 -0.84 0.404 -36.81044 14.87496 + 398 | 3.629253 14.21152 0.26 0.799 -24.34487 31.60337 + 399 | -5.936037 14.84269 -0.40 0.690 -35.15257 23.2805 + 400 | -1.932548 14.96087 -0.13 0.897 -31.3817 27.5166 + 401 | -7.006825 15.92971 -0.44 0.660 -38.36306 24.34942 + 402 | -13.25225 13.40102 -0.99 0.324 -39.63098 13.12648 + 403 | -4.437815 14.87243 -0.30 0.766 -33.71289 24.83726 + 404 | 2.478214 16.71098 0.15 0.882 -30.41587 35.3723 + 405 | -6.153212 14.33101 -0.43 0.668 -34.36254 22.05612 + 498 | -19.19272 13.99795 -1.37 0.171 -46.74646 8.361022 + 499 | 43.94573 50.35682 0.87 0.384 -55.17723 143.0687 + 501 | -7.866211 13.4255 -0.59 0.558 -34.29313 18.56071 + 502 | -3.246771 13.27826 -0.24 0.807 -29.38386 22.89031 + 503 | 4.870704 13.2645 0.37 0.714 -21.23929 30.9807 + 504 | -7.835475 13.49683 -0.58 0.562 -34.4028 18.73185 + 505 | -6.685205 14.15349 -0.47 0.637 -34.5451 21.17469 + 506 | 8.383034 16.07061 0.52 0.602 -23.25055 40.01662 + 508 | 4.479185 13.63965 0.33 0.743 -22.36927 31.32764 + 530 | 2.445684 14.69046 0.17 0.868 -26.4712 31.36257 + 600 | -.4754566 13.98861 -0.03 0.973 -28.01081 27.0599 + 601 | 3.429309 13.3722 0.26 0.798 -22.89269 29.75131 + 602 | 8.875668 13.55228 0.65 0.513 -17.8008 35.55214 + 603 | 15.43948 16.34541 0.94 0.346 -16.73502 47.61397 + 604 | -3.752167 14.65432 -0.26 0.798 -32.5979 25.09357 + 606 | 10.55568 17.05706 0.62 0.537 -23.01964 44.13101 + 607 | -.4602598 13.18276 -0.03 0.972 -26.40936 25.48884 + 609 | -13.40603 13.0053 -1.03 0.304 -39.00581 12.19376 + 698 | -7.06301 13.92335 -0.51 0.612 -34.4699 20.34388 + 699 | 8.851343 15.22284 0.58 0.561 -21.11347 38.81616 + 700 | -6.611096 13.82058 -0.48 0.633 -33.8157 20.5935 + 701 | -4.584245 14.1611 -0.32 0.746 -32.45913 23.29064 + 703 | -13.3182 13.57445 -0.98 0.327 -40.0383 13.4019 + 704 | -14.97187 13.17148 -1.14 0.257 -40.89877 10.95502 + 705 | -5.394295 13.66846 -0.39 0.693 -32.29945 21.51086 + 707 | 54.86967 38.01833 1.44 0.150 -19.96607 129.7054 + 709 | 4.717205 15.07487 0.31 0.755 -24.95635 34.39076 + 710 | 1.056844 14.58021 0.07 0.942 -27.64301 29.7567 + 711 | -11.69525 12.78176 -0.91 0.361 -36.85502 13.46452 + 798 | -11.40818 13.63207 -0.84 0.403 -38.24171 15.42535 + 799 | 5.818566 14.47449 0.40 0.688 -22.67319 34.31032 + 800 | -2.141526 14.70149 -0.15 0.884 -31.08012 26.79706 + 801 | -9.468479 13.65373 -0.69 0.489 -36.34464 17.40768 + 802 | -10.15889 13.30575 -0.76 0.446 -36.35009 16.03231 + 803 | -4.400269 13.17091 -0.33 0.739 -30.32604 21.52551 + 805 | -14.47126 13.30192 -1.09 0.278 -40.65492 11.71239 + 806 | -3.028115 14.32045 -0.21 0.833 -31.21667 25.16044 + 807 | -5.084861 13.13438 -0.39 0.699 -30.93874 20.76902 + 898 | 15.36659 22.16808 0.69 0.489 -28.26933 59.00251 + 899 | 30.02309 15.0987 1.99 0.048 .3026184 59.74356 + 1000 | -9.916604 13.34393 -0.74 0.458 -36.18295 16.34974 + 1001 | -8.081261 13.93274 -0.58 0.562 -35.50663 19.34411 + 1002 | -8.186051 13.58315 -0.60 0.547 -34.92328 18.55117 + 1003 | -5.834095 13.73531 -0.42 0.671 -32.87083 21.20264 + 1005 | -7.892653 14.19764 -0.56 0.579 -35.83946 20.05415 + 1006 | 1.247325 16.10525 0.08 0.938 -30.45444 32.94909 + 1007 | -3.045437 13.82987 -0.22 0.826 -30.26832 24.17745 + 1010 | -12.24252 14.25958 -0.86 0.391 -40.31125 15.8262 + 1099 | -18.72922 14.00741 -1.34 0.182 -46.30157 8.843133 + 1200 | -13.64179 13.76832 -0.99 0.323 -40.74352 13.45994 + 1201 | 6.272388 16.348 0.38 0.702 -25.9072 38.45198 + 1202 | -9.925 15.01075 -0.66 0.509 -39.47234 19.62234 + 1203 | 1.382704 14.89105 0.09 0.926 -27.92901 30.69442 + 1204 | 1.125518 14.83677 0.08 0.940 -28.07935 30.33039 + 1205 | 1.877186 15.81421 0.12 0.906 -29.25169 33.00606 + 1206 | -4.115662 13.57618 -0.30 0.762 -30.83918 22.60785 + 1207 | -5.746993 13.81011 -0.42 0.678 -32.93098 21.437 + 1208 | 8.459212 14.35857 0.59 0.556 -19.80436 36.72279 + 1209 | 10.32288 14.47551 0.71 0.476 -18.17089 38.81665 + 1210 | -2.588466 13.8999 -0.19 0.852 -29.94919 24.77226 + 1211 | 8.016808 17.56859 0.46 0.649 -26.56541 42.59903 + 1299 | 2.033289 16.16219 0.13 0.900 -29.78055 33.84713 + 1300 | -5.406961 13.01882 -0.42 0.678 -31.03336 20.21944 + 1301 | 11.07423 16.95376 0.65 0.514 -22.29775 44.44622 + 1302 | 24.20224 24.05701 1.01 0.315 -23.15187 71.55635 + 1303 | -1.894434 13.13433 -0.14 0.885 -27.74821 23.95934 + 1304 | 26.63224 22.71927 1.17 0.242 -18.08864 71.35311 + 1305 | 37.77142 33.46984 1.13 0.260 -28.11102 103.6539 + 1399 | -10.20369 13.14041 -0.78 0.438 -36.06942 15.66204 + 1400 | -11.28556 13.65923 -0.83 0.409 -38.17255 15.60142 + 1401 | -2.786601 14.65191 -0.19 0.849 -31.62759 26.05438 + 1403 | 4.61779 13.39223 0.34 0.730 -21.74363 30.97921 + 1405 | -4.314978 13.5963 -0.32 0.751 -31.0781 22.44814 + 1406 | -12.2888 12.71163 -0.97 0.335 -37.31052 12.73292 + 1407 | 6.433407 13.92853 0.46 0.645 -20.98368 33.85049 + 1408 | 27.62058 17.90458 1.54 0.124 -7.623012 62.86417 + 1409 | 9.524072 18.17583 0.52 0.601 -26.25345 45.3016 + 1410 | -2.652331 14.90787 -0.18 0.859 -31.99716 26.6925 + 1499 | -18.977 12.49909 -1.52 0.130 -43.58036 5.626358 + 1500 | -16.79536 12.87259 -1.30 0.193 -42.13391 8.543193 + 1501 | -9.176368 12.89845 -0.71 0.477 -34.56582 16.21309 + 1502 | 1.776973 14.69695 0.12 0.904 -27.15268 30.70662 + 1504 | .5371356 14.78663 0.04 0.971 -28.56904 29.64331 + 1505 | -13.93863 13.4243 -1.04 0.300 -40.36318 12.48593 + 1507 | 7.574386 23.29544 0.33 0.745 -38.28064 53.42941 + 1520 | 20.6266 35.82236 0.58 0.565 -49.88656 91.13977 + 1521 | -8.217591 12.90851 -0.64 0.525 -33.62686 17.19168 + 1522 | -11.36073 14.33376 -0.79 0.429 -39.57548 16.85401 + 1523 | -6.225252 12.90716 -0.48 0.630 -31.63186 19.18136 + 1524 | 51.24608 13.96996 3.67 0.000 23.74745 78.7447 + 1525 | 5.394069 14.6432 0.37 0.713 -23.42979 34.21792 + 1526 | -9.305221 13.43987 -0.69 0.489 -35.76041 17.14997 + 1599 | -7.004539 13.21328 -0.53 0.596 -33.01371 19.00464 + 1600 | -5.122646 14.21941 -0.36 0.719 -33.1123 22.86701 + 1602 | -13.3392 14.8103 -0.90 0.369 -42.49196 15.81356 + 1603 | -41.65397 30.04839 -1.39 0.167 -100.8016 17.49364 + 1604 | 3.408905 14.25975 0.24 0.811 -24.66016 31.47797 + 1605 | 2.878969 14.93775 0.19 0.847 -26.52468 32.28262 + 1606 | 13.18912 20.35549 0.65 0.518 -26.87887 53.25711 + 1608 | 9.98062 14.13115 0.71 0.481 -17.83531 37.79655 + 1609 | 4.45176 13.49586 0.33 0.742 -22.11364 31.01716 + 1610 | 5.710652 14.09905 0.41 0.686 -22.04208 33.46339 + 1611 | -6.925035 13.86494 -0.50 0.618 -34.21696 20.36689 + 1612 | 1.428514 14.7533 0.10 0.923 -27.61206 30.46909 + 1614 | 9.686587 13.20362 0.73 0.464 -16.30357 35.67675 + 1615 | 3.417733 14.81488 0.23 0.818 -25.74405 32.57951 + 1616 | -9.439085 13.52301 -0.70 0.486 -36.05795 17.17978 + 1617 | 17.42047 14.34349 1.21 0.226 -10.81344 45.65437 + 1619 | 14.87893 22.21655 0.67 0.504 -28.85238 58.61024 + 1620 | -8.701533 13.16278 -0.66 0.509 -34.61131 17.20824 + 1698 | -.1283319 14.55855 -0.01 0.993 -28.78556 28.52889 + 1699 | 9.508282 22.34003 0.43 0.671 -34.4661 53.48266 + 1700 | 6.809667 12.95719 0.53 0.600 -18.69543 32.31476 + 1701 | -1.582687 14.03798 -0.11 0.910 -29.21521 26.04984 + 1704 | -.3182559 13.56704 -0.02 0.981 -27.02378 26.38727 + 1706 | -5.139423 13.5303 -0.38 0.704 -31.77262 21.49378 + 1707 | 6.294821 16.07951 0.39 0.696 -25.35627 37.94591 + 1708 | -10.38482 13.41115 -0.77 0.439 -36.7835 16.01385 + 1709 | 14.83069 15.78111 0.94 0.348 -16.23304 45.89442 + 1798 | -5.221078 13.46998 -0.39 0.699 -31.73555 21.2934 + 1799 | -11.28249 13.99915 -0.81 0.421 -38.83859 16.27361 + 1800 | -14.44731 13.03885 -1.11 0.269 -40.11313 11.21851 + 1802 | 7.99369 16.12345 0.50 0.620 -23.74389 39.73127 + 1803 | -6.683566 14.58437 -0.46 0.647 -35.3916 22.02447 + 1804 | -3.838139 15.793 -0.24 0.808 -34.92527 27.24899 + 1806 | 18.1083 23.19435 0.78 0.436 -27.54773 63.76433 + 1807 | -12.55878 13.00201 -0.97 0.335 -38.15209 13.03452 + 1900 | -8.155561 14.70727 -0.55 0.580 -37.10553 20.79441 + 1901 | -4.667164 15.57707 -0.30 0.765 -35.32925 25.99492 + 1902 | 9.931392 20.08471 0.49 0.621 -29.60359 49.46637 + 1905 | 74.25609 13.89363 5.34 0.000 46.9077 101.6045 + 1906 | -18.82184 14.21135 -1.32 0.186 -46.79564 9.151952 + 1907 | -14.8083 13.3809 -1.11 0.269 -41.14744 11.53083 + 1908 | 8.106636 22.45479 0.36 0.718 -36.09364 52.30691 + 1909 | 30.03668 14.63876 2.05 0.041 1.221577 58.85178 + 1911 | -4.719521 13.23513 -0.36 0.722 -30.77171 21.33267 + 1914 | -30.77229 13.68548 -2.25 0.025 -57.71095 -3.833635 + 1919 | -11.23815 13.58174 -0.83 0.409 -37.97262 15.49632 + 1920 | .3071746 13.94722 0.02 0.982 -27.14671 27.76106 + 1925 | .2781628 18.33485 0.02 0.988 -35.81238 36.3687 + 1926 | 24.35209 18.29414 1.33 0.184 -11.65831 60.36248 + 1927 | -9.131863 14.49559 -0.63 0.529 -37.66516 19.40143 + 1929 | 18.38563 27.73058 0.66 0.508 -36.19958 72.97083 + 1999 | -11.98824 14.2201 -0.84 0.400 -39.97924 16.00277 + 2000 | 1.371635 15.37626 0.09 0.929 -28.89518 31.63845 + 2001 | -9.246957 13.78392 -0.67 0.503 -36.3794 17.88548 + 2002 | .0789738 13.6809 0.01 0.995 -26.85066 27.00861 + 2003 | 36.07765 21.28715 1.69 0.091 -5.824237 77.97953 + 2004 | 1.823764 13.76479 0.13 0.895 -25.27102 28.91855 + 2005 | -15.53588 13.30198 -1.17 0.244 -41.71965 10.64789 + 2006 | 72.10129 41.24992 1.75 0.082 -9.095551 153.2981 + 2007 | -9.327758 13.47794 -0.69 0.489 -35.8579 17.20238 + 2008 | 3.332684 13.26391 0.25 0.802 -22.77616 29.44152 + 2009 | 7.119205 13.12333 0.54 0.588 -18.71292 32.95133 + 2011 | 5.48247 15.13967 0.36 0.718 -24.31863 35.28357 + 2012 | -4.421499 13.84487 -0.32 0.750 -31.6739 22.8309 + 2013 | 1.666939 15.67703 0.11 0.915 -29.19191 32.52579 + 2014 | -9.380001 13.85993 -0.68 0.499 -36.66205 17.90205 + 2015 | -3.135069 15.01452 -0.21 0.835 -32.68983 26.4197 + 2030 | 37.25451 18.63357 2.00 0.047 .5759701 73.93305 + 2099 | 118.593 99.41616 1.19 0.234 -77.09896 314.2849 + 2100 | 14.10508 21.87897 0.64 0.520 -28.96175 57.17192 + 2101 | -7.077288 13.28091 -0.53 0.595 -33.21959 19.06501 + 2102 | -9.447976 12.9471 -0.73 0.466 -34.9332 16.03725 + 2103 | -7.329755 13.16759 -0.56 0.578 -33.249 18.58949 + 2104 | -8.925647 13.32646 -0.67 0.504 -35.15762 17.30632 + 2105 | 43.11797 54.57736 0.79 0.430 -64.31275 150.5487 + 9999 | -12.1919 13.23061 -0.92 0.358 -38.23519 13.85139 + | + house_administration | 1.608031 4.396435 0.37 0.715 -7.045965 10.26203 + house_agriculture | 11.9178 3.99484 2.98 0.003 4.054312 19.78129 + house_appropriations | 1.518971 3.70846 0.41 0.682 -5.780806 8.818749 + house_armedservices | -.1976928 4.238347 -0.05 0.963 -8.540506 8.145121 + house_budget | -.7355894 4.241849 -0.17 0.862 -9.085296 7.614117 + house_dc | .5357339 5.14418 0.10 0.917 -9.590132 10.6616 + house_educlabor | 2.091106 2.426226 0.86 0.389 -2.684707 6.866918 + house_energycommerce | 4.174188 2.166164 1.93 0.055 -.0897156 8.438092 + house_foreignaffairs | 7.569609 5.249929 1.44 0.150 -2.764413 17.90363 + house_governmentop | 4.113491 3.925342 1.05 0.296 -3.613199 11.84018 + house_intelligence | 43.60884 28.06474 1.55 0.121 -11.63413 98.85181 + house_interior | .0473578 4.29427 0.01 0.991 -8.405534 8.500249 + house_judiciary | 5.392302 2.157457 2.50 0.013 1.145538 9.639066 + house_mmf | -2.326775 4.341261 -0.54 0.592 -10.87217 6.218615 + house_pocs | -4.10836 7.808769 -0.53 0.599 -19.47923 11.26251 + house_pwt | 4.525271 3.272985 1.38 0.168 -1.917312 10.96785 + house_rules | 1.321849 3.082508 0.43 0.668 -4.745796 7.389494 + house_sst | .1172346 7.832896 0.01 0.988 -15.30113 15.5356 + house_smallbusi | 6.303745 3.941616 1.60 0.111 -1.454978 14.06247 + house_soc | -7.749738 5.434047 -1.43 0.155 -18.44618 2.946705 + house_veterans | .7177277 3.226058 0.22 0.824 -5.632484 7.067939 + house_waysandmeans | 2.931485 2.471949 1.19 0.237 -1.934328 7.797299 +house_naturalresources | 1.620025 3.223177 0.50 0.616 -4.724516 7.964565 + house_bfs | 9.396882 4.391346 2.14 0.033 .7529055 18.04086 + house_eeo | -10.5419 3.217614 -3.28 0.001 -16.87549 -4.208311 + house_govreform | .3257283 3.849811 0.08 0.933 -7.252286 7.903743 + house_ir | -.4049553 3.407883 -0.12 0.905 -7.113072 6.303162 + house_natsecur | -.2951861 4.824206 -0.06 0.951 -9.791211 9.200839 + house_oversight | 1.462164 3.806082 0.38 0.701 -6.029773 8.954101 + house_resources | .5685688 2.778767 0.20 0.838 -4.901189 6.038326 + house_science | -1.726191 2.900928 -0.60 0.552 -7.436412 3.98403 + house_transp | 4.430352 3.165096 1.40 0.163 -1.799861 10.66056 + house_homeland | -4.213364 4.190686 -1.01 0.316 -12.46236 4.035632 + _cons | 8.786097 13.95342 0.63 0.529 -18.67998 36.25218 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 283 1 0 1 1 + + +j = 3 k = 2 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6187 +----------------------+---------------------- NN matches = 3 + Number of obs | 2193 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 29.70309 50.99673 .5824509 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(59,706 missing values generated) +(60,627 missing values generated) +(921 real changes made) +reg numb_cosponsors sponsor_female i.v2 MV1_female femaleXMV1_female i.minor house_* [aw=wt] if sponsor_party==100 & tag_bill==1 & sample==1 & tenured==0 & abs(MV1_ +> female)<=29.70309229792696, robust cluster(group_sponsor) +(sum of wgt is 2,992.97431218624) +note: house_dc omitted because of collinearity + +Linear regression Number of obs = 1,538 + F(139, 140) = . + Prob > F = . + R-squared = 0.2288 + Root MSE = 28.665 + + (Std. Err. adjusted for 141 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -.3057331 4.527217 -0.07 0.946 -9.256285 8.644819 + | + v2 | + 102 | 3.628313 4.218793 0.86 0.391 -4.712466 11.96909 + 103 | -1.060046 3.500537 -0.30 0.762 -7.980795 5.860704 + 104 | 5.63273 5.189445 1.09 0.280 -4.627081 15.89254 + 105 | 1.645478 4.939771 0.33 0.740 -8.120714 11.41167 + 106 | 4.418304 5.807161 0.76 0.448 -7.062765 15.89937 + 107 | 4.832697 5.221094 0.93 0.356 -5.489687 15.15508 + 108 | -2.758523 4.672805 -0.59 0.556 -11.99691 6.479864 + 109 | 8.073575 4.516596 1.79 0.076 -.8559788 17.00313 + 110 | 4.642479 4.566868 1.02 0.311 -4.386465 13.67142 + 111 | -.6630409 3.54208 -0.19 0.852 -7.665924 6.339842 + | + MV1_female | .2109052 .2209964 0.95 0.342 -.2260167 .647827 + femaleXMV1_female | -.1473817 .265187 -0.56 0.579 -.6716705 .3769072 + | + minor | + 105 | 4.826516 8.974487 0.54 0.592 -12.91653 22.56956 + 107 | 2.939773 6.153012 0.48 0.634 -9.225062 15.10461 + 108 | 35.48393 7.499036 4.73 0.000 20.65793 50.30992 + 200 | -.9779057 11.0179 -0.09 0.929 -22.76088 20.80507 + 202 | 12.91894 16.90531 0.76 0.446 -20.50377 46.34164 + 207 | 51.02528 26.17287 1.95 0.053 -.7198824 102.7705 + 208 | 3.069785 7.272507 0.42 0.674 -11.30835 17.44792 + 300 | -6.987285 9.708123 -0.72 0.473 -26.18077 12.2062 + 301 | 6.560819 7.350267 0.89 0.374 -7.971054 21.09269 + 302 | 13.57224 8.92737 1.52 0.131 -4.07765 31.22213 + 321 | 6.758197 10.83462 0.62 0.534 -14.66243 28.17882 + 322 | -1.010278 6.816396 -0.15 0.882 -14.48666 12.4661 + 323 | 9.381582 8.872133 1.06 0.292 -8.159101 26.92226 + 324 | 5.631965 7.820964 0.72 0.473 -9.830501 21.09443 + 325 | 17.69219 14.40108 1.23 0.221 -10.77953 46.1639 + 331 | 24.87054 19.9801 1.24 0.215 -14.63118 64.37227 + 332 | 4.612207 8.812074 0.52 0.602 -12.80974 22.03415 + 333 | 42.58432 43.8866 0.97 0.334 -44.18185 129.3505 + 334 | 21.1646 13.31964 1.59 0.114 -5.169049 47.49825 + 335 | 23.94407 18.49472 1.29 0.198 -12.62099 60.50913 + 336 | 48.64261 32.95754 1.48 0.142 -16.51622 113.8014 + 341 | .1986554 7.723158 0.03 0.980 -15.07044 15.46775 + 342 | -.9889634 8.764926 -0.11 0.910 -18.31769 16.33977 + 343 | 3.512878 7.633324 0.46 0.646 -11.57861 18.60437 + 344 | -2.821283 7.864626 -0.36 0.720 -18.37007 12.72751 + 398 | 1.524699 6.58411 0.23 0.817 -11.49244 14.54184 + 399 | -.1745215 10.66733 -0.02 0.987 -21.2644 20.91536 + 400 | 32.39826 33.61017 0.96 0.337 -34.05085 98.84736 + 401 | -3.705003 7.715784 -0.48 0.632 -18.95952 11.54952 + 402 | .2960963 7.736688 0.04 0.970 -14.99975 15.59194 + 403 | 7.543835 10.14018 0.74 0.458 -12.50385 27.59152 + 404 | 23.02171 15.79763 1.46 0.147 -8.211049 54.25448 + 405 | 2.705479 9.84855 0.27 0.784 -16.76563 22.17659 + 498 | -5.519596 9.256241 -0.60 0.552 -23.81968 12.78049 + 501 | -1.726944 7.055394 -0.24 0.807 -15.67584 12.22195 + 502 | 6.430998 6.963872 0.92 0.357 -7.336951 20.19895 + 503 | 8.716761 7.839912 1.11 0.268 -6.783166 24.21669 + 505 | 13.97759 7.83085 1.78 0.076 -1.504426 29.4596 + 506 | 17.74567 12.69153 1.40 0.164 -7.346162 42.83749 + 508 | 12.54138 8.351525 1.50 0.135 -3.970036 29.05279 + 530 | 5.468428 7.606633 0.72 0.473 -9.570294 20.50715 + 600 | 14.67461 9.693195 1.51 0.132 -4.489362 33.83857 + 601 | 12.30573 8.282953 1.49 0.140 -4.07011 28.68158 + 602 | 14.80906 7.704371 1.92 0.057 -.4228918 30.04102 + 603 | 16.57053 11.50628 1.44 0.152 -6.178006 39.31907 + 604 | 4.079753 10.02924 0.41 0.685 -15.74859 23.9081 + 606 | 1.523991 11.92123 0.13 0.898 -22.04491 25.09289 + 607 | 3.937779 7.285386 0.54 0.590 -10.46582 18.34138 + 609 | 7.053962 8.283047 0.85 0.396 -9.322067 23.42999 + 698 | 3.216588 10.36888 0.31 0.757 -17.28324 23.71642 + 699 | 17.77695 8.57497 2.07 0.040 .8237724 34.73012 + 700 | 1.403567 8.863752 0.16 0.874 -16.12055 18.92768 + 701 | 12.28528 8.90794 1.38 0.170 -5.326193 29.89676 + 703 | -7.412621 6.80928 -1.09 0.278 -20.87493 6.049692 + 704 | -8.040944 6.177216 -1.30 0.195 -20.25363 4.171745 + 705 | -4.346487 7.679818 -0.57 0.572 -19.5299 10.83693 + 707 | 90.69727 48.18384 1.88 0.062 -4.564773 185.9593 + 709 | 11.30141 9.976919 1.13 0.259 -8.423498 31.02631 + 710 | 5.143545 10.82323 0.48 0.635 -16.25456 26.54165 + 711 | 53.41587 42.39199 1.26 0.210 -30.39536 137.2271 + 798 | .7835942 7.751598 0.10 0.920 -14.54173 16.10892 + 799 | 11.1422 12.06931 0.92 0.357 -12.71948 35.00389 + 800 | .8263999 11.5858 0.07 0.943 -22.07934 23.73214 + 801 | -9.639344 8.748507 -1.10 0.272 -26.93561 7.656924 + 802 | -1.482524 7.441617 -0.20 0.842 -16.195 13.22995 + 803 | 4.902847 6.323765 0.78 0.439 -7.599577 17.40527 + 806 | 1.468417 7.149831 0.21 0.838 -12.66718 15.60402 + 807 | 6.855094 6.667333 1.03 0.306 -6.326582 20.03677 + 898 | 20.00764 24.23512 0.83 0.410 -27.9065 67.92177 + 899 | 31.46066 12.28033 2.56 0.011 7.18179 55.73953 + 1000 | -11.0558 7.733132 -1.43 0.155 -26.34462 4.233013 + 1001 | .9570739 9.530654 0.10 0.920 -17.88554 19.79969 + 1002 | -9.107099 6.469783 -1.41 0.161 -21.89821 3.68401 + 1003 | 2.13047 7.656835 0.28 0.781 -13.0075 17.26844 + 1005 | 4.206469 7.64353 0.55 0.583 -10.9052 19.31814 + 1006 | 1.811659 8.727581 0.21 0.836 -15.44324 19.06655 + 1007 | 10.05411 8.643225 1.16 0.247 -7.03401 27.14223 + 1010 | -12.99114 8.429299 -1.54 0.126 -29.65631 3.674038 + 1200 | -2.327753 7.701127 -0.30 0.763 -17.5533 12.89779 + 1201 | 8.642552 12.55054 0.69 0.492 -16.17055 33.45565 + 1202 | -6.587888 7.62689 -0.86 0.389 -21.66666 8.490883 + 1203 | 5.892528 16.9354 0.35 0.728 -27.58967 39.37473 + 1204 | 17.02378 19.53639 0.87 0.385 -21.60072 55.64827 + 1205 | 31.16317 21.71944 1.43 0.154 -11.77734 74.10368 + 1206 | 1.263512 8.627127 0.15 0.884 -15.79278 18.3198 + 1207 | 2.695817 10.87253 0.25 0.805 -18.79976 24.1914 + 1208 | 15.8394 9.206593 1.72 0.088 -2.362532 34.04132 + 1209 | 14.39311 7.959345 1.81 0.073 -1.34294 30.12916 + 1210 | 24.19746 26.09804 0.93 0.355 -27.39977 75.7947 + 1211 | 10.61865 7.502526 1.42 0.159 -4.214244 25.45155 + 1299 | 23.06712 7.629949 3.02 0.003 7.982298 38.15193 + 1300 | 9.506806 6.959486 1.37 0.174 -4.252472 23.26608 + 1301 | 12.80679 9.502715 1.35 0.180 -5.980583 31.59417 + 1302 | .1111921 7.105506 0.02 0.988 -13.93677 14.15916 + 1303 | 8.642486 6.999922 1.23 0.219 -5.196737 22.48171 + 1304 | 69.0959 22.69949 3.04 0.003 24.21778 113.974 + 1305 | 52.93113 30.46793 1.74 0.085 -7.305599 113.1679 + 1399 | -.7609211 6.205008 -0.12 0.903 -13.02855 11.50671 + 1400 | -1.319865 7.658502 -0.17 0.863 -16.46114 13.82141 + 1401 | 1.107639 6.761615 0.16 0.870 -12.26044 14.47572 + 1403 | 11.43175 8.823738 1.30 0.197 -6.013256 28.87675 + 1405 | 12.14351 14.99916 0.81 0.420 -17.51065 41.79766 + 1406 | 4.883962 8.220371 0.59 0.553 -11.36815 21.13608 + 1407 | 15.26925 11.06108 1.38 0.170 -6.599104 37.13761 + 1408 | 54.21475 8.164362 6.64 0.000 38.07337 70.35613 + 1409 | 35.09526 22.15098 1.58 0.115 -8.698419 78.88893 + 1410 | 2.503801 8.530393 0.29 0.770 -14.36124 19.36885 + 1500 | -6.906853 8.300732 -0.83 0.407 -23.31785 9.504141 + 1501 | 11.26876 9.867508 1.14 0.255 -8.239838 30.77735 + 1502 | 27.56403 14.83851 1.86 0.065 -1.772499 56.90056 + 1504 | 23.94875 11.20755 2.14 0.034 1.790815 46.10668 + 1505 | 9.986831 8.099847 1.23 0.220 -6.027003 26.00066 + 1507 | -.8262288 7.872875 -0.10 0.917 -16.39133 14.73887 + 1520 | -2.858592 6.772282 -0.42 0.674 -16.24776 10.53057 + 1521 | 3.150587 7.115935 0.44 0.659 -10.918 17.21917 + 1522 | .0575937 8.370992 0.01 0.995 -16.49231 16.60749 + 1523 | -.0823568 6.17039 -0.01 0.989 -12.28155 12.11684 + 1525 | 15.69731 10.76179 1.46 0.147 -5.579325 36.97395 + 1526 | 5.824567 8.398099 0.69 0.489 -10.77893 22.42806 + 1599 | 1.2594 7.414934 0.17 0.865 -13.40032 15.91912 + 1600 | -2.187392 8.659858 -0.25 0.801 -19.3084 14.93361 + 1602 | -10.29464 8.875485 -1.16 0.248 -27.84196 7.252666 + 1603 | 15.002 10.58042 1.42 0.158 -5.916064 35.92007 + 1604 | 1.197706 10.36033 0.12 0.908 -19.28523 21.68064 + 1605 | -1.321858 8.537583 -0.15 0.877 -18.20112 15.5574 + 1606 | 26.90966 12.35225 2.18 0.031 2.48859 51.33072 + 1608 | 9.349109 7.951143 1.18 0.242 -6.370727 25.06895 + 1609 | 10.93451 9.388149 1.16 0.246 -7.626362 29.49539 + 1610 | 11.58883 8.007325 1.45 0.150 -4.242086 27.41974 + 1611 | -2.145325 7.581404 -0.28 0.778 -17.13417 12.84352 + 1612 | 2.912287 10.1625 0.29 0.775 -17.17953 23.0041 + 1614 | -14.24141 8.663344 -1.64 0.102 -31.36931 2.886484 + 1615 | 11.90535 11.58479 1.03 0.306 -10.9984 34.8091 + 1616 | -3.152971 6.99362 -0.45 0.653 -16.97973 10.67379 + 1619 | -4.118431 11.70595 -0.35 0.725 -27.26172 19.02486 + 1620 | 3.623597 8.277721 0.44 0.662 -12.7419 19.9891 + 1698 | 2.549862 9.345755 0.27 0.785 -15.9272 21.02692 + 1699 | 20.97101 26.29051 0.80 0.426 -31.00675 72.94876 + 1701 | 10.03475 8.50352 1.18 0.240 -6.777163 26.84667 + 1706 | -4.799389 7.718837 -0.62 0.535 -20.05994 10.46117 + 1707 | 5.577487 11.91967 0.47 0.641 -17.98833 29.14331 + 1709 | 16.03149 14.57138 1.10 0.273 -12.77691 44.8399 + 1798 | 8.364382 8.135992 1.03 0.306 -7.720912 24.44968 + 1800 | -7.40147 8.318333 -0.89 0.375 -23.84726 9.04432 + 1802 | 9.962776 7.34572 1.36 0.177 -4.560107 24.48566 + 1803 | -.2684961 9.41736 -0.03 0.977 -18.88712 18.35013 + 1804 | 13.45221 16.03063 0.84 0.403 -18.2412 45.14563 + 1806 | 75.90163 6.675172 11.37 0.000 62.70446 89.0988 + 1807 | -3.987088 6.217074 -0.64 0.522 -16.27858 8.304402 + 1900 | 1.111756 9.51567 0.12 0.907 -17.70123 19.92475 + 1902 | 9.318133 14.33229 0.65 0.517 -19.01758 37.65385 + 1905 | 79.372 8.655674 9.17 0.000 62.25927 96.48473 + 1906 | -7.440684 7.145644 -1.04 0.300 -21.568 6.686637 + 1908 | 23.50616 26.88117 0.87 0.383 -29.63936 76.65168 + 1909 | 44.00364 10.35683 4.25 0.000 23.52764 64.47964 + 1919 | 4.003214 6.689627 0.60 0.551 -9.222538 17.22897 + 1920 | 7.927135 7.307903 1.08 0.280 -6.520983 22.37525 + 1926 | 50.70129 26.85673 1.89 0.061 -2.395901 103.7985 + 1927 | -5.319928 6.840832 -0.78 0.438 -18.84462 8.204764 + 1999 | -8.222243 7.379934 -1.11 0.267 -22.81277 6.368282 + 2000 | -.8290842 7.009425 -0.12 0.906 -14.68709 13.02893 + 2001 | -2.239671 6.752129 -0.33 0.741 -15.58899 11.10965 + 2002 | 5.727124 8.057776 0.71 0.478 -10.20353 21.65778 + 2003 | 37.60977 20.42749 1.84 0.068 -2.776469 77.996 + 2004 | 8.745898 7.93784 1.10 0.272 -6.947638 24.43943 + 2006 | 51.08902 45.98806 1.11 0.269 -39.83185 142.0099 + 2007 | -3.298044 7.278406 -0.45 0.651 -17.68784 11.09176 + 2008 | 9.238415 7.538584 1.23 0.222 -5.66577 24.1426 + 2011 | -2.689626 8.992278 -0.30 0.765 -20.46784 15.08859 + 2012 | 7.179322 8.981917 0.80 0.425 -10.57841 24.93705 + 2013 | 25.13751 19.70351 1.28 0.204 -13.81739 64.09242 + 2014 | 5.40156 10.79517 0.50 0.618 -15.94108 26.7442 + 2015 | 13.97468 8.468293 1.65 0.101 -2.767594 30.71695 + 2030 | 60.79103 20.44758 2.97 0.003 20.36507 101.217 + 2099 | 5.863534 10.53114 0.56 0.579 -14.95709 26.68416 + 2100 | 50.2895 11.60683 4.33 0.000 27.34217 73.23683 + 2101 | 3.938247 6.875839 0.57 0.568 -9.655657 17.53215 + 2102 | 4.671609 7.480801 0.62 0.533 -10.11834 19.46155 + 2103 | 6.907395 7.916348 0.87 0.384 -8.74365 22.55844 + 2104 | 6.998521 6.643644 1.05 0.294 -6.13632 20.13336 + 9999 | .8135762 5.849504 0.14 0.890 -10.75121 12.37836 + | + house_administration | .6460039 5.979481 0.11 0.914 -11.17575 12.46776 + house_agriculture | 7.07804 5.15063 1.37 0.172 -3.105032 17.26111 + house_appropriations | 17.14048 6.918256 2.48 0.014 3.46272 30.81825 + house_armedservices | 6.052034 8.323399 0.73 0.468 -10.40377 22.50784 + house_budget | -3.57714 5.321671 -0.67 0.503 -14.09837 6.944089 + house_dc | 0 (omitted) + house_educlabor | 6.368846 2.797557 2.28 0.024 .8379265 11.89977 + house_energycommerce | 6.616766 3.663056 1.81 0.073 -.625292 13.85882 + house_foreignaffairs | 6.145033 8.067103 0.76 0.447 -9.804063 22.09413 + house_governmentop | 3.215263 5.103526 0.63 0.530 -6.874682 13.30521 + house_intelligence | 6.817612 6.311463 1.08 0.282 -5.66049 19.29571 + house_interior | 8.774125 6.059358 1.45 0.150 -3.205551 20.7538 + house_judiciary | 4.704401 3.396328 1.39 0.168 -2.010322 11.41912 + house_mmf | -2.198216 6.15933 -0.36 0.722 -14.37554 9.979109 + house_pocs | -.971457 6.894438 -0.14 0.888 -14.60213 12.65922 + house_pwt | 7.440967 4.60885 1.61 0.109 -1.670976 16.55291 + house_rules | 9.895616 3.990865 2.48 0.014 2.005462 17.78577 + house_sst | 1.059223 10.01587 0.11 0.916 -18.74269 20.86114 + house_smallbusi | 3.37307 4.881597 0.69 0.491 -6.278111 13.02425 + house_soc | 13.09887 7.616208 1.72 0.088 -1.958784 28.15652 + house_veterans | 5.461079 5.456436 1.00 0.319 -5.326588 16.24875 + house_waysandmeans | 1.116568 3.075306 0.36 0.717 -4.963478 7.196613 +house_naturalresources | -2.10209 3.633107 -0.58 0.564 -9.284937 5.080758 + house_bfs | .9355941 4.613568 0.20 0.840 -8.185677 10.05686 + house_eeo | -11.03841 4.275046 -2.58 0.011 -19.49041 -2.586414 + house_govreform | 6.655183 7.885995 0.84 0.400 -8.935854 22.24622 + house_ir | 8.00676 4.56597 1.75 0.082 -1.020407 17.03393 + house_natsecur | 7.002571 6.928831 1.01 0.314 -6.696101 20.70124 + house_oversight | -4.21152 6.763815 -0.62 0.535 -17.58395 9.160907 + house_resources | -1.850799 4.091717 -0.45 0.652 -9.940343 6.238745 + house_science | -.2445734 3.457622 -0.07 0.944 -7.080478 6.591331 + house_transp | 12.16355 7.187575 1.69 0.093 -2.046668 26.37377 + house_homeland | -2.559284 11.36972 -0.23 0.822 -25.03782 19.91926 + _cons | .0737051 8.443756 0.01 0.993 -16.62005 16.76746 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 141 1 0 1 1 + + +j = 3 k = 3 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 13.03771 22.75762 .5728944 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(59,708 missing values generated) +(61,558 missing values generated) +(1,850 real changes made) +reg numb_cosponsors sponsor_female i.v2 MV1_female femaleXMV1_female i.minor house_* [aw=wt] if sponsor_party==200 & tag_bill==1 & sample==1 & tenured==0 & abs(MV1_ +> female)<=13.03771312569015, robust cluster(group_sponsor) +(sum of wgt is 1,384.7711108923) +note: house_dc omitted because of collinearity + +Linear regression Number of obs = 795 + F(71, 72) = . + Prob > F = . + R-squared = 0.4237 + Root MSE = 23.62 + + (Std. Err. adjusted for 73 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 6.563141 4.495162 1.46 0.149 -2.397801 15.52408 + | + v2 | + 103 | 14.98546 10.87649 1.38 0.173 -6.696428 36.66735 + 104 | 17.89463 11.65125 1.54 0.129 -5.331719 41.12098 + 105 | 15.44603 11.46543 1.35 0.182 -7.409888 38.30195 + 106 | 17.3764 11.15729 1.56 0.124 -4.865249 39.61806 + 107 | 22.75911 11.70626 1.94 0.056 -.5768921 46.09512 + 108 | 39.56313 11.53502 3.43 0.001 16.56848 62.55777 + 109 | 15.59513 11.12674 1.40 0.165 -6.585625 37.77588 + 110 | 16.79156 11.17878 1.50 0.137 -5.492923 39.07604 + 111 | 10.76382 12.16405 0.88 0.379 -13.48476 35.01241 + | + MV1_female | -.6303459 .341359 -1.85 0.069 -1.310833 .0501409 + femaleXMV1_female | .0073465 .5370513 0.01 0.989 -1.063246 1.077939 + | + minor | + 101 | -12.25893 14.88501 -0.82 0.413 -41.93165 17.41379 + 105 | -13.09302 16.6038 -0.79 0.433 -46.1921 20.00605 + 107 | -1.165475 15.91299 -0.07 0.942 -32.88744 30.55649 + 200 | -6.458222 14.9342 -0.43 0.667 -36.229 23.31256 + 206 | 23.11971 20.01124 1.16 0.252 -16.77197 63.01139 + 207 | -1.220109 14.78026 -0.08 0.934 -30.68402 28.24381 + 208 | -7.011236 16.95491 -0.41 0.680 -40.81024 26.78777 + 209 | -13.25893 14.88501 -0.89 0.376 -42.93165 16.41379 + 300 | -17.76057 15.94259 -1.11 0.269 -49.54154 14.02039 + 301 | 12.47281 21.91517 0.57 0.571 -31.21429 56.1599 + 302 | 13.39181 15.93114 0.84 0.403 -18.36634 45.14995 + 321 | -.298281 20.75525 -0.01 0.989 -41.67311 41.07655 + 322 | 22.26656 33.04065 0.67 0.503 -43.59878 88.1319 + 323 | -12.92248 15.8975 -0.81 0.419 -44.61356 18.7686 + 324 | -21.39742 14.78093 -1.45 0.152 -50.86266 8.067821 + 325 | 3.486617 15.47417 0.23 0.822 -27.36057 34.3338 + 331 | 32.5553 21.79716 1.49 0.140 -10.89655 76.00714 + 332 | 2.210922 17.21203 0.13 0.898 -32.10064 36.52248 + 333 | 21.09775 18.38656 1.15 0.255 -15.55518 57.75068 + 334 | -7.384206 16.66284 -0.44 0.659 -40.60098 25.83257 + 335 | -18.61449 15.21311 -1.22 0.225 -48.94127 11.71229 + 336 | -13.30411 15.10995 -0.88 0.382 -43.42525 16.81703 + 341 | -9.909887 15.87984 -0.62 0.535 -41.56577 21.746 + 343 | -8.041537 17.03009 -0.47 0.638 -41.9904 25.90732 + 398 | -6.867106 17.07961 -0.40 0.689 -40.91468 27.18047 + 400 | 4.328739 19.3916 0.22 0.824 -34.3277 42.98518 + 401 | 14.08025 21.83938 0.64 0.521 -29.45576 57.61626 + 402 | -10.65325 16.19021 -0.66 0.513 -42.92784 21.62135 + 403 | 12.91356 17.37088 0.74 0.460 -21.71465 47.54178 + 499 | 109.9942 55.44007 1.98 0.051 -.5235825 220.512 + 503 | -3.046539 14.84345 -0.21 0.838 -32.63641 26.54333 + 505 | -4.31475 16.30285 -0.26 0.792 -36.81389 28.18439 + 508 | 47.71425 18.79575 2.54 0.013 10.24561 85.18289 + 530 | -5.374362 16.00803 -0.34 0.738 -37.28579 26.53707 + 600 | -8.063905 14.59073 -0.55 0.582 -37.14999 21.02218 + 601 | -.1712267 15.4409 -0.01 0.991 -30.95211 30.60965 + 602 | 1.399578 15.3213 0.09 0.927 -29.14287 31.94203 + 603 | 21.91848 16.62661 1.32 0.192 -11.22607 55.06303 + 604 | -2.642642 14.74856 -0.18 0.858 -32.04337 26.75808 + 606 | 16.76509 20.48463 0.82 0.416 -24.07027 57.60045 + 607 | -5.885271 16.10474 -0.37 0.716 -37.98948 26.21894 + 609 | -15.75954 15.16804 -1.04 0.302 -45.99648 14.4774 + 699 | -8.681723 15.49921 -0.56 0.577 -39.57883 22.21539 + 700 | 11.4612 16.46326 0.70 0.489 -21.35771 44.28011 + 701 | -19.11275 17.35873 -1.10 0.275 -53.71674 15.49124 + 703 | -2.316085 16.81191 -0.14 0.891 -35.83002 31.19785 + 704 | -18.86656 13.86293 -1.36 0.178 -46.50181 8.768683 + 705 | .7098485 17.66489 0.04 0.968 -34.50446 35.92415 + 707 | -15.75954 15.16804 -1.04 0.302 -45.99648 14.4774 + 709 | 9.34409 18.95018 0.49 0.623 -28.4324 47.12058 + 710 | -1.998789 15.92476 -0.13 0.900 -33.74421 29.74663 + 711 | -15.85175 14.24879 -1.11 0.270 -44.25619 12.55269 + 798 | -22.67317 20.36518 -1.11 0.269 -63.27042 17.92407 + 800 | 14.82244 17.57643 0.84 0.402 -20.21553 49.8604 + 801 | -20.65264 17.29303 -1.19 0.236 -55.12567 13.82038 + 802 | -12.59285 15.00772 -0.84 0.404 -42.51019 17.32449 + 803 | -6.38844 15.4338 -0.41 0.680 -37.15517 24.37828 + 805 | -22.19289 20.16098 -1.10 0.275 -62.38306 17.99728 + 806 | -13.81485 14.26471 -0.97 0.336 -42.25104 14.62134 + 807 | -10.44233 15.71788 -0.66 0.509 -41.77535 20.89068 + 1000 | -17.33966 14.76767 -1.17 0.244 -46.77848 12.09915 + 1001 | -8.765189 16.39914 -0.53 0.595 -41.45628 23.9259 + 1002 | -11.25823 15.70556 -0.72 0.476 -42.56668 20.05022 + 1003 | -7.166378 15.85484 -0.45 0.653 -38.77243 24.43967 + 1005 | -4.417621 16.86745 -0.26 0.794 -38.04227 29.20703 + 1006 | 42.44579 52.29058 0.81 0.420 -61.79358 146.6852 + 1007 | -5.876349 17.23916 -0.34 0.734 -40.24198 28.48928 + 1010 | -9.379479 16.28081 -0.58 0.566 -41.83467 23.07571 + 1202 | -6.290942 15.10239 -0.42 0.678 -36.397 23.81511 + 1203 | 6.21223 17.29004 0.36 0.720 -28.25484 40.6793 + 1204 | 11.55466 16.54083 0.70 0.487 -21.41888 44.5282 + 1205 | -7.802637 16.42448 -0.48 0.636 -40.54425 24.93897 + 1206 | .5884979 15.52087 0.04 0.970 -30.35179 31.52878 + 1207 | -8.351352 14.41248 -0.58 0.564 -37.0821 20.37939 + 1208 | 3.924022 16.27307 0.24 0.810 -28.51576 36.3638 + 1209 | 5.729613 16.07935 0.36 0.723 -26.32399 37.78322 + 1210 | -6.777557 14.67608 -0.46 0.646 -36.03378 22.47867 + 1211 | 30.50476 15.21871 2.00 0.049 .1668123 60.8427 + 1299 | -18.66186 15.01399 -1.24 0.218 -48.59171 11.26799 + 1300 | -4.730641 17.2188 -0.27 0.784 -39.05569 29.5944 + 1303 | 1.09531 16.00429 0.07 0.946 -30.80865 32.99927 + 1399 | -21.85724 16.62101 -1.32 0.193 -54.99062 11.27613 + 1400 | 8.516043 14.96343 0.57 0.571 -21.31302 38.3451 + 1401 | -5.480188 20.29297 -0.27 0.788 -45.93348 34.97311 + 1406 | -17.61825 13.54342 -1.30 0.197 -44.61656 9.380066 + 1407 | 11.21478 18.03923 0.62 0.536 -24.74576 47.17532 + 1409 | -1.605338 27.23771 -0.06 0.953 -55.90272 52.69205 + 1410 | 50.3257 13.53774 3.72 0.000 23.33872 77.31269 + 1499 | -20.0689 13.41319 -1.50 0.139 -46.8076 6.669803 + 1500 | -14.49849 15.73308 -0.92 0.360 -45.86181 16.86484 + 1501 | -18.34226 13.75229 -1.33 0.186 -45.75695 9.072423 + 1502 | -16.61965 14.4276 -1.15 0.253 -45.38054 12.14123 + 1504 | -9.796183 14.34102 -0.68 0.497 -38.38448 18.79211 + 1507 | 90.15949 14.6714 6.15 0.000 60.91259 119.4064 + 1520 | -16.5275 15.23579 -1.08 0.282 -46.8995 13.84449 + 1521 | -11.33918 15.02705 -0.75 0.453 -41.29505 18.6167 + 1523 | -14.05304 14.50813 -0.97 0.336 -42.97446 14.86838 + 1525 | .7012122 18.11903 0.04 0.969 -35.41841 36.82084 + 1599 | -5.47212 15.92186 -0.34 0.732 -37.21177 26.26753 + 1600 | -18.56946 18.92432 -0.98 0.330 -56.29441 19.15548 + 1604 | .8361755 16.28255 0.05 0.959 -31.62249 33.29484 + 1605 | 36.28834 17.67424 2.05 0.044 1.055387 71.5213 + 1608 | -2.80923 19.19059 -0.15 0.884 -41.06497 35.44651 + 1609 | 4.679396 15.60511 0.30 0.765 -26.42882 35.78762 + 1610 | -12.36216 19.32565 -0.64 0.524 -50.88715 26.16283 + 1611 | -18.1539 19.02591 -0.95 0.343 -56.08135 19.77355 + 1612 | -17.81617 15.50657 -1.15 0.254 -48.72796 13.09562 + 1615 | -11.9093 17.87731 -0.67 0.507 -47.54706 23.72846 + 1616 | -18.54463 17.96575 -1.03 0.305 -54.35871 17.26944 + 1617 | 6.097754 18.38656 0.33 0.741 -30.55518 42.75068 + 1619 | 194.9519 26.1176 7.46 0.000 142.8874 247.0164 + 1699 | -12.3057 17.11361 -0.72 0.474 -46.42107 21.80966 + 1701 | -7.174678 17.41939 -0.41 0.682 -41.89959 27.55024 + 1704 | 3.030931 17.85327 0.17 0.866 -32.55891 38.62078 + 1706 | -5.7327 15.73023 -0.36 0.717 -37.09034 25.62494 + 1707 | -5.20677 18.17883 -0.29 0.775 -41.44561 31.03207 + 1709 | 22.60126 21.97353 1.03 0.307 -21.20217 66.40468 + 1798 | -9.288231 15.34569 -0.61 0.547 -39.8793 21.30284 + 1800 | -13.69251 14.21586 -0.96 0.339 -42.03131 14.64629 + 1802 | 10.98782 35.35994 0.31 0.757 -59.50092 81.47657 + 1803 | -18.97114 14.96151 -1.27 0.209 -48.79637 10.85409 + 1806 | -3.348669 16.45223 -0.20 0.839 -36.14559 29.44825 + 1807 | -14.14752 15.10281 -0.94 0.352 -44.25442 15.95938 + 1900 | -6.596937 17.7375 -0.37 0.711 -41.956 28.76213 + 1901 | 1.00228 16.65439 0.06 0.952 -32.19763 34.20219 + 1902 | 17.51544 20.10277 0.87 0.386 -22.55869 57.58958 + 1906 | 12.6586 19.50177 0.65 0.518 -26.21747 51.53466 + 1907 | 11.6586 19.50177 0.60 0.552 -27.21747 50.53466 + 1925 | 1.597279 21.24861 0.08 0.940 -40.76104 43.9556 + 1926 | 19.44569 17.25046 1.13 0.263 -14.94248 53.83386 + 1927 | 6.132981 23.87877 0.26 0.798 -41.46848 53.73444 + 1929 | 8.515441 20.10277 0.42 0.673 -31.55869 48.58958 + 2000 | 8.840045 19.87661 0.44 0.658 -30.78326 48.46335 + 2001 | -11.84286 16.65804 -0.71 0.479 -45.05005 21.36433 + 2002 | 3.338655 16.4702 0.20 0.840 -29.4941 36.17141 + 2003 | 41.16037 47.57179 0.87 0.390 -53.67225 135.993 + 2004 | -11.18284 16.83184 -0.66 0.509 -44.7365 22.37083 + 2005 | -12.54663 15.87133 -0.79 0.432 -44.18554 19.09228 + 2006 | 82.11181 92.44776 0.89 0.377 -102.1794 266.403 + 2007 | 1.117942 16.25025 0.07 0.945 -31.27634 33.51222 + 2008 | -2.372345 15.46179 -0.15 0.878 -33.19487 28.45018 + 2009 | 2.67445 15.69421 0.17 0.865 -28.61138 33.96028 + 2011 | -2.358015 20.59977 -0.11 0.909 -43.4229 38.70687 + 2012 | -19.6083 17.66854 -1.11 0.271 -54.8299 15.61329 + 2013 | -4.61577 14.85417 -0.31 0.757 -34.22702 24.99548 + 2014 | -9.557886 16.54978 -0.58 0.565 -42.54926 23.43349 + 2100 | 20.4612 16.46326 1.24 0.218 -12.35771 53.28011 + 2101 | -1.197487 18.16368 -0.07 0.948 -37.40613 35.01115 + 2102 | -15.29312 14.33701 -1.07 0.290 -43.87343 13.28718 + 2103 | -10.29971 14.78597 -0.70 0.488 -39.77501 19.17559 + 2104 | -13.34428 14.65844 -0.91 0.366 -42.56535 15.87678 + 2105 | 214.5709 15.67337 13.69 0.000 183.3266 245.8152 + | + house_administration | 7.266954 5.644259 1.29 0.202 -3.98467 18.51858 + house_agriculture | 11.21133 4.307268 2.60 0.011 2.624945 19.79771 + house_appropriations | -15.34906 10.22067 -1.50 0.138 -35.72359 5.025458 + house_armedservices | 4.286753 9.937531 0.43 0.667 -15.52335 24.09686 + house_budget | 18.03368 7.137487 2.53 0.014 3.805363 32.262 + house_dc | 0 (omitted) + house_educlabor | -5.984413 4.422649 -1.35 0.180 -14.8008 2.831977 + house_energycommerce | 2.970986 5.574991 0.53 0.596 -8.142555 14.08453 + house_foreignaffairs | -.2695342 9.284005 -0.03 0.977 -18.77686 18.23779 + house_governmentop | -2.866473 10.72779 -0.27 0.790 -24.25193 18.51899 + house_intelligence | 8.286425 12.03359 0.69 0.493 -15.7021 32.27495 + house_interior | 12.26042 12.87586 0.95 0.344 -13.40715 37.92799 + house_judiciary | 4.355649 3.722862 1.17 0.246 -3.065741 11.77704 + house_mmf | 1.831391 13.05554 0.14 0.889 -24.19436 27.85714 + house_pocs | 10.06051 12.62955 0.80 0.428 -15.11604 35.23705 + house_pwt | 11.24026 6.341805 1.77 0.081 -1.401894 23.88242 + house_rules | -5.515325 4.340501 -1.27 0.208 -14.16796 3.137305 + house_sst | -26.38366 15.07433 -1.75 0.084 -56.4338 3.666473 + house_smallbusi | 4.3737 7.530772 0.58 0.563 -10.63862 19.38602 + house_soc | 5.88085 13.49383 0.44 0.664 -21.01861 32.78031 + house_veterans | -1.128698 8.051312 -0.14 0.889 -17.1787 14.9213 + house_waysandmeans | 3.033454 5.638439 0.54 0.592 -8.206569 14.27348 +house_naturalresources | 3.777965 10.26272 0.37 0.714 -16.6804 24.23633 + house_bfs | 12.48491 8.040404 1.55 0.125 -3.543339 28.51317 + house_eeo | -1.836858 7.415508 -0.25 0.805 -16.6194 12.94569 + house_govreform | -2.148627 5.983401 -0.36 0.721 -14.07632 9.779064 + house_ir | -13.80672 6.216919 -2.22 0.030 -26.19992 -1.413515 + house_natsecur | 2.653884 7.246404 0.37 0.715 -11.79156 17.09933 + house_oversight | 14.35996 6.046451 2.37 0.020 2.30658 26.41334 + house_resources | 1.729544 8.136676 0.21 0.832 -14.49062 17.94971 + house_science | -3.468057 9.048478 -0.38 0.703 -21.50587 14.56975 + house_transp | -2.108249 6.955002 -0.30 0.763 -15.97279 11.75629 + house_homeland | 10.1369 11.1699 0.91 0.367 -12.12988 32.40368 + _cons | -7.969482 19.69194 -0.40 0.687 -47.22464 31.28568 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 73 1 0 1 1 + + +j = 4 k = 1 + + +rdbwselect_2014 numb_cosponsors MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11990 +----------------------+---------------------- NN matches = 3 + Number of obs | 6151 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 25.22792 46.13311 .5468506 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(6,677 missing values generated) +(54,574 missing values generated) +(47,897 real changes made) +reg numb_cosponsors sponsor_female i.v2 i.minor house_* [aw=wt] if tag_bill==1 & tenured==0, robust cluster(group_sponsor) +(sum of wgt is 49,832.3066351414) + +Linear regression Number of obs = 21,910 + F(265, 2152) = . + Prob > F = . + R-squared = 0.1520 + Root MSE = 30.473 + + (Std. Err. adjusted for 2,153 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | .8318445 .7675794 1.08 0.279 -.6734301 2.337119 + | + v2 | + 102 | -.8832212 2.859725 -0.31 0.757 -6.491333 4.724891 + 103 | -6.317103 2.731526 -2.31 0.021 -11.67381 -.960398 + 104 | -3.272776 2.497168 -1.31 0.190 -8.16989 1.624337 + 105 | -2.516487 2.508685 -1.00 0.316 -7.436185 2.403211 + 106 | -1.65078 2.538017 -0.65 0.515 -6.628 3.326441 + 107 | -4.428056 2.668468 -1.66 0.097 -9.6611 .8049873 + 108 | -2.081269 2.852032 -0.73 0.466 -7.674295 3.511757 + 109 | -4.070129 2.569967 -1.58 0.113 -9.110006 .9697487 + 110 | -6.39533 2.848556 -2.25 0.025 -11.98154 -.8091215 + 111 | -7.524997 2.881855 -2.61 0.009 -13.17651 -1.873487 + | + minor | + 101 | -1.941442 5.962736 -0.33 0.745 -13.63477 9.751882 + 103 | -.8321244 6.150442 -0.14 0.892 -12.89355 11.2293 + 104 | -.0716132 6.451048 -0.01 0.991 -12.72255 12.57932 + 105 | 11.20194 6.32611 1.77 0.077 -1.203986 23.60786 + 107 | 10.86581 5.679979 1.91 0.056 -.2730085 22.00463 + 108 | 8.268302 7.145222 1.16 0.247 -5.743958 22.28056 + 110 | 12.22129 15.32324 0.80 0.425 -17.82861 42.27119 + 200 | 12.13236 7.197051 1.69 0.092 -1.981542 26.24626 + 201 | 2.820228 6.509115 0.43 0.665 -9.944583 15.58504 + 202 | 14.80776 7.545784 1.96 0.050 .0099706 29.60555 + 204 | 2.699314 5.755868 0.47 0.639 -8.588328 13.98696 + 205 | 69.29761 44.21303 1.57 0.117 -17.40711 156.0023 + 206 | 6.420596 9.720383 0.66 0.509 -12.64173 25.48292 + 207 | 18.62086 9.309081 2.00 0.046 .3651262 36.87659 + 208 | 6.978915 5.91612 1.18 0.238 -4.622991 18.58082 + 209 | -6.187532 5.384697 -1.15 0.251 -16.74728 4.372219 + 299 | 45.58541 21.83199 2.09 0.037 2.771427 88.3994 + 300 | 9.248559 8.278777 1.12 0.264 -6.986678 25.4838 + 301 | 8.874488 6.038035 1.47 0.142 -2.966503 20.71548 + 302 | 9.819877 6.052995 1.62 0.105 -2.050452 21.69021 + 321 | 18.93805 9.999342 1.89 0.058 -.6713262 38.54743 + 322 | 2.964418 6.102998 0.49 0.627 -9.003971 14.93281 + 323 | 10.33597 7.762956 1.33 0.183 -4.88771 25.55964 + 324 | -1.950305 6.159109 -0.32 0.752 -14.02873 10.12812 + 325 | 10.5315 7.916803 1.33 0.184 -4.993882 26.05688 + 331 | 21.52891 8.467202 2.54 0.011 4.924163 38.13366 + 332 | 11.50042 6.539737 1.76 0.079 -1.324446 24.32528 + 333 | 9.170978 6.864489 1.34 0.182 -4.290744 22.6327 + 334 | 14.75641 6.986168 2.11 0.035 1.056067 28.45675 + 335 | 7.862459 7.602944 1.03 0.301 -7.047423 22.77234 + 336 | 22.82072 12.28073 1.86 0.063 -1.2626 46.90405 + 341 | 8.165949 6.594137 1.24 0.216 -4.765596 21.09749 + 342 | 9.633914 7.03215 1.37 0.171 -4.156604 23.42443 + 343 | 5.925445 6.131099 0.97 0.334 -6.09805 17.94894 + 344 | 3.213901 8.519392 0.38 0.706 -13.4932 19.921 + 398 | 17.63242 6.913924 2.55 0.011 4.073753 31.19109 + 399 | 10.62318 8.468236 1.25 0.210 -5.983601 27.22995 + 400 | 11.48249 8.727908 1.32 0.188 -5.633517 28.59851 + 401 | 1.587855 6.868625 0.23 0.817 -11.88198 15.05769 + 402 | 4.448293 6.075534 0.73 0.464 -7.466235 16.36282 + 403 | 11.86518 8.214439 1.44 0.149 -4.243881 27.97425 + 404 | 10.19306 7.277082 1.40 0.161 -4.077781 24.46391 + 405 | 6.044734 6.723954 0.90 0.369 -7.14139 19.23086 + 498 | 1.45261 6.14538 0.24 0.813 -10.59889 13.50411 + 499 | 20.18919 13.7676 1.47 0.143 -6.809995 47.18838 + 500 | 23.72356 12.36136 1.92 0.055 -.5178875 47.96501 + 501 | 3.51715 5.887042 0.60 0.550 -8.027734 15.06203 + 502 | 12.34853 6.84723 1.80 0.071 -1.079346 25.77641 + 503 | 11.9003 6.120634 1.94 0.052 -.1026682 23.90328 + 504 | 23.93795 6.752195 3.55 0.000 10.69645 37.17946 + 505 | 11.40986 5.943786 1.92 0.055 -.2463028 23.06602 + 506 | 21.8203 8.594753 2.54 0.011 4.965411 38.67518 + 508 | 9.821664 6.405417 1.53 0.125 -2.739787 22.38312 + 529 | 20.87443 10.22101 2.04 0.041 .8303496 40.91851 + 530 | 12.85881 5.507358 2.33 0.020 2.058517 23.65911 + 599 | 14.60664 9.894362 1.48 0.140 -4.796864 34.01015 + 600 | 17.31645 7.537572 2.30 0.022 2.534763 32.09813 + 601 | 10.07239 5.822192 1.73 0.084 -1.345314 21.4901 + 602 | 14.43256 5.618114 2.57 0.010 3.415065 25.45006 + 603 | 18.12183 8.260169 2.19 0.028 1.923088 34.32058 + 604 | 2.501475 7.619237 0.33 0.743 -12.44036 17.44331 + 606 | 13.16766 7.017037 1.88 0.061 -.5932167 26.92854 + 607 | 12.54899 6.13359 2.05 0.041 .5206089 24.57737 + 609 | 4.407079 6.474552 0.68 0.496 -8.28995 17.10411 + 698 | -1.644301 5.606238 -0.29 0.769 -12.63851 9.349907 + 699 | 9.814441 6.989275 1.40 0.160 -3.891995 23.52088 + 700 | 1.763161 6.055701 0.29 0.771 -10.11247 13.6388 + 701 | 10.9982 7.304406 1.51 0.132 -3.32623 25.32263 + 703 | -3.662668 5.589546 -0.66 0.512 -14.62414 7.298806 + 704 | -1.860808 5.619143 -0.33 0.741 -12.88032 9.158706 + 705 | 15.4941 7.933442 1.95 0.051 -.0639127 31.05211 + 707 | 48.76785 28.71807 1.70 0.090 -7.550199 105.0859 + 708 | 16.39988 8.010116 2.05 0.041 .6915039 32.10825 + 709 | 7.365334 6.16814 1.19 0.233 -4.730802 19.46147 + 710 | 7.813829 6.151665 1.27 0.204 -4.249998 19.87766 + 711 | 12.87685 9.737056 1.32 0.186 -6.21817 31.97187 + 798 | -.1833724 6.022341 -0.03 0.976 -11.99359 11.62684 + 799 | 14.05248 6.804283 2.07 0.039 .7088248 27.39613 + 800 | .6081879 5.814862 0.10 0.917 -10.79515 12.01152 + 801 | .7261389 6.09619 0.12 0.905 -11.2289 12.68118 + 802 | -3.227171 5.664309 -0.57 0.569 -14.33526 7.880919 + 803 | 5.319937 5.665495 0.94 0.348 -5.790478 16.43035 + 805 | -4.220176 5.676294 -0.74 0.457 -15.35177 6.911417 + 806 | 5.452463 5.649659 0.97 0.335 -5.626896 16.53182 + 807 | 7.817493 6.619282 1.18 0.238 -5.163361 20.79835 + 898 | 12.51868 8.23661 1.52 0.129 -3.633868 28.67122 + 899 | 1.185772 7.394783 0.16 0.873 -13.31589 15.68744 + 1000 | 8.082157 6.983045 1.16 0.247 -5.612062 21.77638 + 1001 | 2.578062 5.822717 0.44 0.658 -8.840675 13.9968 + 1002 | 4.592076 6.174272 0.74 0.457 -7.516084 16.70024 + 1003 | 4.151888 5.598422 0.74 0.458 -6.826993 15.13077 + 1005 | 2.535821 7.009484 0.36 0.718 -11.21025 16.28189 + 1006 | 7.97758 6.614756 1.21 0.228 -4.9944 20.94956 + 1007 | .7249067 5.997266 0.12 0.904 -11.03613 12.48595 + 1010 | -3.71808 6.024428 -0.62 0.537 -15.53239 8.096226 + 1098 | -2.314145 6.03294 -0.38 0.701 -14.14514 9.516854 + 1099 | 18.19486 11.50795 1.58 0.114 -4.373 40.76272 + 1200 | 10.12943 8.813899 1.15 0.251 -7.155218 27.41407 + 1201 | 7.072701 6.670725 1.06 0.289 -6.009039 20.15444 + 1202 | 4.980189 6.766423 0.74 0.462 -8.289219 18.2496 + 1203 | 2.911758 6.806636 0.43 0.669 -10.43651 16.26003 + 1204 | 9.259428 5.868548 1.58 0.115 -2.249187 20.76804 + 1205 | 6.836285 6.239133 1.10 0.273 -5.399072 19.07164 + 1206 | 3.224608 6.012044 0.54 0.592 -8.565412 15.01463 + 1207 | 8.786714 6.399524 1.37 0.170 -3.763181 21.33661 + 1208 | 18.42486 6.197147 2.97 0.003 6.271834 30.57788 + 1209 | 11.22868 5.631281 1.99 0.046 .1853655 22.272 + 1210 | 9.592026 5.912824 1.62 0.105 -2.003418 21.18747 + 1211 | 10.70666 7.311407 1.46 0.143 -3.631501 25.04481 + 1299 | 10.31116 7.571712 1.36 0.173 -4.537477 25.15979 + 1300 | 8.169591 6.52047 1.25 0.210 -4.617486 20.95667 + 1301 | 16.19054 7.485019 2.16 0.031 1.511915 30.86916 + 1302 | 7.974944 7.258267 1.10 0.272 -6.259003 22.20889 + 1303 | 6.962935 5.538714 1.26 0.209 -3.898854 17.82472 + 1304 | 18.9682 8.095216 2.34 0.019 3.092939 34.84346 + 1305 | 10.83753 8.890044 1.22 0.223 -6.596437 28.27151 + 1399 | -1.802833 5.794696 -0.31 0.756 -13.16662 9.560954 + 1400 | 9.906532 6.90027 1.44 0.151 -3.62536 23.43842 + 1401 | 18.92353 6.958534 2.72 0.007 5.277379 32.56968 + 1403 | 8.715256 6.070902 1.44 0.151 -3.190189 20.6207 + 1404 | -1.373577 6.08637 -0.23 0.821 -13.30936 10.5622 + 1405 | 1.134621 5.84418 0.19 0.846 -10.32621 12.59545 + 1406 | 3.753765 6.322021 0.59 0.553 -8.644142 16.15167 + 1407 | 5.889296 7.260639 0.81 0.417 -8.349303 20.12789 + 1408 | 39.86348 19.60661 2.03 0.042 1.413612 78.31335 + 1409 | 25.47423 9.737197 2.62 0.009 6.378934 44.56953 + 1410 | 10.58712 7.298575 1.45 0.147 -3.725873 24.90012 + 1499 | -.7955564 6.414154 -0.12 0.901 -13.37414 11.78303 + 1500 | 1.269415 6.128177 0.21 0.836 -10.74835 13.28718 + 1501 | 5.716544 6.137737 0.93 0.352 -6.319969 17.75306 + 1502 | 12.74205 9.189413 1.39 0.166 -5.279005 30.76311 + 1504 | 11.92346 6.195627 1.92 0.054 -.2265795 24.0735 + 1505 | 11.1748 6.408522 1.74 0.081 -1.39274 23.74234 + 1507 | 5.887181 9.052943 0.65 0.516 -11.86625 23.64061 + 1520 | 14.35301 12.20354 1.18 0.240 -9.57896 38.28497 + 1521 | 5.65373 5.536973 1.02 0.307 -5.204645 16.5121 + 1522 | 9.878725 7.698744 1.28 0.200 -5.219028 24.97648 + 1523 | 5.140314 5.530293 0.93 0.353 -5.70496 15.98559 + 1524 | 4.182568 8.119376 0.52 0.607 -11.74007 20.10521 + 1525 | 7.615047 6.343475 1.20 0.230 -4.824932 20.05503 + 1526 | 2.667085 5.87573 0.45 0.650 -8.855615 14.18978 + 1599 | 20.42939 13.11651 1.56 0.119 -5.292974 46.15175 + 1600 | 16.21648 13.32864 1.22 0.224 -9.921884 42.35484 + 1602 | -3.256252 10.91186 -0.30 0.765 -24.65515 18.14264 + 1603 | 3.208106 8.848665 0.36 0.717 -14.14472 20.56093 + 1604 | 9.423335 7.664597 1.23 0.219 -5.607452 24.45412 + 1605 | 15.30164 11.46016 1.34 0.182 -7.172513 37.77579 + 1606 | 23.3484 17.47567 1.34 0.182 -10.92257 57.61937 + 1608 | 15.81669 6.709626 2.36 0.018 2.658663 28.97471 + 1609 | 8.091573 6.658113 1.22 0.224 -4.965432 21.14858 + 1610 | 4.024701 7.299636 0.55 0.581 -10.29037 18.33978 + 1611 | -2.324695 5.948531 -0.39 0.696 -13.99016 9.340773 + 1612 | 6.375269 6.864062 0.93 0.353 -7.085615 19.83615 + 1614 | -1.090475 6.911715 -0.16 0.875 -14.64481 12.46386 + 1615 | 3.099641 5.715215 0.54 0.588 -8.108279 14.30756 + 1616 | -4.146779 6.044338 -0.69 0.493 -16.00013 7.706573 + 1617 | .8679762 7.552485 0.11 0.909 -13.94295 15.6789 + 1619 | -1.615818 7.324933 -0.22 0.825 -15.9805 12.74887 + 1620 | 5.296272 8.583794 0.62 0.537 -11.53712 22.12967 + 1698 | -1.118398 6.403012 -0.17 0.861 -13.67513 11.43834 + 1699 | 15.55677 7.026774 2.21 0.027 1.776798 29.33675 + 1700 | 35.99661 15.73083 2.29 0.022 5.147393 66.84583 + 1701 | 9.763534 6.158924 1.59 0.113 -2.314529 21.8416 + 1704 | 9.513056 6.350005 1.50 0.134 -2.939729 21.96584 + 1705 | -7.874549 6.300036 -1.25 0.211 -20.22934 4.480243 + 1706 | 3.955244 6.305384 0.63 0.531 -8.410036 16.32053 + 1707 | 13.27053 6.880796 1.93 0.054 -.2231689 26.76423 + 1708 | 5.642481 6.15441 0.92 0.359 -6.426728 17.71169 + 1709 | 18.05601 6.256065 2.89 0.004 5.787451 30.32458 + 1798 | 5.776622 7.295733 0.79 0.429 -8.530798 20.08404 + 1799 | 8.968595 7.968715 1.13 0.261 -6.658589 24.59578 + 1800 | -1.608813 6.288377 -0.26 0.798 -13.94074 10.72312 + 1802 | 11.92432 7.650502 1.56 0.119 -3.078825 26.92747 + 1803 | 10.45129 8.129596 1.29 0.199 -5.49139 26.39397 + 1804 | 5.352416 8.330122 0.64 0.521 -10.98351 21.68834 + 1806 | 10.17475 8.326991 1.22 0.222 -6.15504 26.50453 + 1807 | -5.85668 5.40732 -1.08 0.279 -16.4608 4.747437 + 1808 | 51.3622 39.58705 1.30 0.195 -26.27065 128.995 + 1899 | 19.89634 17.67059 1.13 0.260 -14.75687 54.54955 + 1900 | 4.325251 8.034372 0.54 0.590 -11.43069 20.08119 + 1901 | 19.35682 7.049263 2.75 0.006 5.532747 33.1809 + 1902 | 12.03181 10.65052 1.13 0.259 -8.854573 32.91819 + 1905 | 42.24001 13.96405 3.02 0.003 14.85557 69.62445 + 1906 | 2.182239 5.972328 0.37 0.715 -9.529896 13.89437 + 1907 | 2.791866 12.4272 0.22 0.822 -21.5787 27.16244 + 1908 | 2.849801 6.601802 0.43 0.666 -10.09677 15.79638 + 1909 | 8.733654 13.37995 0.65 0.514 -17.50532 34.97263 + 1910 | 23.42748 8.13372 2.88 0.004 7.476715 39.37825 + 1911 | 13.07679 8.368122 1.56 0.118 -3.333656 29.48724 + 1914 | 17.60924 8.438832 2.09 0.037 1.060126 34.15836 + 1919 | -.7365334 6.69538 -0.11 0.912 -13.86662 12.39355 + 1920 | 12.78382 6.285288 2.03 0.042 .4579497 25.10969 + 1925 | 9.778088 6.810153 1.44 0.151 -3.577077 23.13325 + 1926 | 22.69976 9.647321 2.35 0.019 3.780719 41.6188 + 1927 | 14.16214 8.027534 1.76 0.078 -1.580388 29.90468 + 1929 | 16.26578 8.859942 1.84 0.067 -1.109159 33.64072 + 1999 | -1.194706 6.195844 -0.19 0.847 -13.34517 10.95576 + 2000 | .1381824 5.800555 0.02 0.981 -11.23709 11.51346 + 2001 | 1.038886 5.251074 0.20 0.843 -9.258821 11.33659 + 2002 | 10.58214 6.369972 1.66 0.097 -1.909798 23.07408 + 2003 | 38.11498 12.03253 3.17 0.002 14.51838 61.71159 + 2004 | 7.845367 6.678472 1.17 0.240 -5.251563 20.9423 + 2005 | .0693715 6.084604 0.01 0.991 -11.86294 12.00169 + 2006 | 126.1288 20.98495 6.01 0.000 84.97594 167.2817 + 2007 | 2.753073 8.317379 0.33 0.741 -13.55787 19.06401 + 2008 | 13.49001 6.001726 2.25 0.025 1.720226 25.2598 + 2009 | 5.939491 8.710565 0.68 0.495 -11.14251 23.02149 + 2011 | 3.476728 6.18085 0.56 0.574 -8.644332 15.59779 + 2012 | -2.484277 6.930087 -0.36 0.720 -16.07464 11.10609 + 2013 | 13.46869 6.472147 2.08 0.038 .7763805 26.16101 + 2014 | 14.05188 10.67474 1.32 0.188 -6.881999 34.98575 + 2015 | 10.60001 6.688546 1.58 0.113 -2.516681 23.71669 + 2030 | 6.684876 9.08685 0.74 0.462 -11.13505 24.5048 + 2099 | 41.04897 19.04989 2.15 0.031 3.690869 78.40707 + 2100 | 2.9474 6.490349 0.45 0.650 -9.780608 15.67541 + 2101 | 9.123405 7.830305 1.17 0.244 -6.232348 24.47916 + 2102 | 4.105849 5.739436 0.72 0.474 -7.14957 15.36127 + 2103 | 2.952779 5.861119 0.50 0.614 -8.541267 14.44683 + 2104 | .5771798 5.709574 0.10 0.919 -10.61968 11.77404 + 2105 | 21.98296 21.60186 1.02 0.309 -20.37974 64.34567 + 2199 | 10.1387 6.865899 1.48 0.140 -3.325782 23.60319 + 9999 | 34.55791 12.90924 2.68 0.007 9.242023 59.8738 + | + house_administration | 14.34204 8.408105 1.71 0.088 -2.146817 30.8309 + house_agriculture | 7.060446 1.888952 3.74 0.000 3.356085 10.76481 + house_appropriations | 8.687941 2.939416 2.96 0.003 2.923549 14.45233 + house_armedservices | 3.871499 3.538593 1.09 0.274 -3.067919 10.81092 + house_budget | .7348231 2.956853 0.25 0.804 -5.063763 6.53341 + house_dc | 4.755454 5.81066 0.82 0.413 -6.639638 16.15055 + house_educlabor | 1.85743 1.454712 1.28 0.202 -.9953575 4.710217 + house_energycommerce | 5.669452 1.201757 4.72 0.000 3.312726 8.026179 + house_foreignaffairs | 3.866179 2.673318 1.45 0.148 -1.376377 9.108735 + house_governmentop | 6.554203 3.110537 2.11 0.035 .454232 12.65417 + house_intelligence | 30.08445 9.061164 3.32 0.001 12.3149 47.854 + house_interior | -6.134249 4.379178 -1.40 0.161 -14.72211 2.453612 + house_judiciary | 3.117348 1.151962 2.71 0.007 .8582729 5.376422 + house_mmf | .7093038 3.292104 0.22 0.829 -5.746732 7.16534 + house_pocs | -1.58781 4.329068 -0.37 0.714 -10.0774 6.901782 + house_pwt | -3.043019 2.494603 -1.22 0.223 -7.935103 1.849065 + house_rules | 4.855907 2.582469 1.88 0.060 -.2084882 9.920302 + house_sst | 3.535933 3.145999 1.12 0.261 -2.633582 9.705448 + house_smallbusi | -2.18575 1.997229 -1.09 0.274 -6.10245 1.730949 + house_soc | -1.860248 5.130334 -0.36 0.717 -11.92118 8.200681 + house_veterans | 5.306967 4.778492 1.11 0.267 -4.063976 14.67791 + house_waysandmeans | 2.737756 1.402119 1.95 0.051 -.0118937 5.487406 +house_naturalresources | -.739531 2.627631 -0.28 0.778 -5.892491 4.413429 + house_bfs | 2.86227 1.571272 1.82 0.069 -.2190999 5.94364 + house_eeo | -6.013437 2.42001 -2.48 0.013 -10.75924 -1.267635 + house_govreform | -1.248064 2.17382 -0.57 0.566 -5.511071 3.014943 + house_ir | .4425975 2.571445 0.17 0.863 -4.600178 5.485373 + house_natsecur | 6.409786 3.515721 1.82 0.068 -.4847784 13.30435 + house_oversight | 6.238875 2.368452 2.63 0.008 1.594181 10.88357 + house_resources | -2.541649 3.004198 -0.85 0.398 -8.433081 3.349784 + house_science | -1.198894 1.668075 -0.72 0.472 -4.4701 2.072312 + house_transp | 2.52876 2.549081 0.99 0.321 -2.470158 7.527678 + house_homeland | -2.88862 2.102152 -1.37 0.170 -7.01108 1.23384 + _cons | 7.140313 5.727104 1.25 0.213 -4.090921 18.37155 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,153 1 0 1 1 + + +j = 4 k = 2 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6187 +----------------------+---------------------- NN matches = 3 + Number of obs | 2193 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 29.70309 50.99673 .5824509 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(6,677 missing values generated) +(54,574 missing values generated) +(47,897 real changes made) +reg numb_cosponsors sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==100 & tag_bill==1 & tenured==0, robust cluster(group_sponsor) +(sum of wgt is 23,552.0312585831) + +Linear regression Number of obs = 10,652 + F(257, 1039) = . + Prob > F = . + R-squared = 0.1576 + Root MSE = 30.848 + + (Std. Err. adjusted for 1,040 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 1.835004 1.183249 1.55 0.121 -.4868259 4.156835 + | + v2 | + 102 | -3.49345 3.993891 -0.87 0.382 -11.33046 4.343562 + 103 | -10.22969 3.584193 -2.85 0.004 -17.26277 -3.196608 + 104 | -5.186618 3.346195 -1.55 0.121 -11.75269 1.379452 + 105 | -4.97557 3.327266 -1.50 0.135 -11.5045 1.553356 + 106 | -4.087605 3.587444 -1.14 0.255 -11.12707 2.951856 + 107 | -8.739098 4.15997 -2.10 0.036 -16.902 -.5761965 + 108 | -5.896096 3.773825 -1.56 0.119 -13.30128 1.509092 + 109 | -7.143642 3.758389 -1.90 0.058 -14.51854 .2312565 + 110 | -8.84113 3.866949 -2.29 0.022 -16.42905 -1.25321 + 111 | -11.27381 3.870376 -2.91 0.004 -18.86845 -3.679164 + | + minor | + 101 | -4.36627 5.810856 -0.75 0.453 -15.76862 7.036081 + 103 | -6.152799 5.268296 -1.17 0.243 -16.49051 4.184915 + 104 | .7317055 4.509693 0.16 0.871 -8.117439 9.58085 + 105 | 3.257871 5.506256 0.59 0.554 -7.546778 14.06252 + 107 | 1.830737 4.452958 0.41 0.681 -6.907079 10.56855 + 108 | 13.63886 6.37697 2.14 0.033 1.125651 26.15207 + 110 | -.6319956 5.136637 -0.12 0.902 -10.71136 9.447369 + 200 | 5.3036 7.042299 0.75 0.452 -8.51515 19.12235 + 201 | -.2904836 5.547067 -0.05 0.958 -11.17522 10.59425 + 202 | 16.63858 10.62878 1.57 0.118 -4.217741 37.49491 + 204 | -1.653402 4.519252 -0.37 0.715 -10.5213 7.2145 + 205 | 6.657223 17.31207 0.38 0.701 -27.31338 40.62783 + 206 | -13.97889 13.35663 -1.05 0.296 -40.18794 12.23017 + 207 | 16.78381 9.38967 1.79 0.074 -1.641065 35.20869 + 208 | -.1132815 4.768378 -0.02 0.981 -9.47003 9.243467 + 299 | 32.10245 27.23297 1.18 0.239 -21.33545 85.54035 + 300 | -2.161363 6.532399 -0.33 0.741 -14.97956 10.65684 + 301 | 7.0136 5.485965 1.28 0.201 -3.751234 17.77843 + 302 | 3.264992 5.068239 0.64 0.520 -6.680159 13.21014 + 321 | 8.193334 9.199845 0.89 0.373 -9.85906 26.24573 + 322 | .4621537 5.518192 0.08 0.933 -10.36592 11.29022 + 323 | 6.464215 7.357105 0.88 0.380 -7.972264 20.90069 + 324 | -3.318876 6.297278 -0.53 0.598 -15.67571 9.037956 + 325 | 7.043473 8.206278 0.86 0.391 -9.059295 23.14624 + 331 | 18.88672 10.35523 1.82 0.068 -1.432815 39.20626 + 332 | 3.634905 5.669942 0.64 0.522 -7.490938 14.76075 + 333 | 13.09751 6.837284 1.92 0.056 -.3189471 26.51397 + 334 | 13.29676 8.678823 1.53 0.126 -3.733257 30.32678 + 335 | 12.93262 8.519112 1.52 0.129 -3.784006 29.64925 + 336 | 18.68145 12.50161 1.49 0.135 -5.84983 43.21274 + 341 | 2.551526 5.341731 0.48 0.633 -7.930285 13.03334 + 342 | 2.341358 6.351011 0.37 0.712 -10.12091 14.80363 + 343 | 1.298169 6.135222 0.21 0.832 -10.74067 13.33701 + 344 | -7.947354 6.487403 -1.23 0.221 -20.67726 4.782551 + 398 | 14.0703 8.766506 1.61 0.109 -3.131778 31.27237 + 399 | 1.732612 7.456463 0.23 0.816 -12.89883 16.36405 + 400 | 7.667299 8.80316 0.87 0.384 -9.606701 24.9413 + 401 | -6.652292 5.109767 -1.30 0.193 -16.67893 3.374347 + 402 | -5.02612 5.10293 -0.98 0.325 -15.03934 4.987104 + 403 | 4.698997 8.572578 0.55 0.584 -12.12254 21.52054 + 404 | 8.835005 8.224124 1.07 0.283 -7.302782 24.97279 + 405 | .2777445 6.378439 0.04 0.965 -12.23835 12.79384 + 498 | -4.742775 5.269167 -0.90 0.368 -15.0822 5.596647 + 499 | 5.091652 4.494353 1.13 0.258 -3.727391 13.9107 + 500 | 29.39996 15.8251 1.86 0.063 -1.65285 60.45277 + 501 | -2.109109 4.394058 -0.48 0.631 -10.73135 6.51313 + 502 | 6.363327 5.045972 1.26 0.208 -3.538131 16.26479 + 503 | 10.86896 6.61135 1.64 0.100 -2.104165 23.84208 + 504 | 7.551133 7.739434 0.98 0.329 -7.635571 22.73784 + 505 | 12.55338 6.635664 1.89 0.059 -.4674466 25.57421 + 506 | 11.51265 7.00899 1.64 0.101 -2.240736 25.26604 + 508 | 5.891239 6.392068 0.92 0.357 -6.651595 18.43407 + 529 | 6.596621 6.218676 1.06 0.289 -5.605975 18.79922 + 530 | 9.79474 5.182702 1.89 0.059 -.3750157 19.9645 + 599 | 11.11678 9.014784 1.23 0.218 -6.57248 28.80604 + 600 | 10.81133 7.071433 1.53 0.127 -3.064594 24.68724 + 601 | 6.567927 5.367982 1.22 0.221 -3.965394 17.10125 + 602 | 12.97421 4.747376 2.73 0.006 3.658674 22.28975 + 603 | 24.1461 12.94392 1.87 0.062 -1.253113 49.5453 + 604 | -.4095545 8.218057 -0.05 0.960 -16.53544 15.71633 + 606 | 12.4679 7.839134 1.59 0.112 -2.91444 27.85024 + 607 | 9.307752 5.150524 1.81 0.071 -.7988637 19.41437 + 609 | 4.069396 5.842453 0.70 0.486 -7.394958 15.53375 + 698 | -5.104155 4.649728 -1.10 0.273 -14.22808 4.019773 + 699 | 10.19669 7.038492 1.45 0.148 -3.614594 24.00797 + 700 | -2.552796 6.423651 -0.40 0.691 -15.1576 10.05201 + 701 | 6.383189 5.056287 1.26 0.207 -3.53851 16.30489 + 703 | -6.499009 4.517192 -1.44 0.151 -15.36287 2.36485 + 704 | -3.739064 5.28776 -0.71 0.480 -14.11497 6.636843 + 705 | .9411141 6.439059 0.15 0.884 -11.69393 13.57616 + 707 | 45.46983 28.52596 1.59 0.111 -10.50522 101.4449 + 708 | 11.74805 8.294123 1.42 0.157 -4.527094 28.02319 + 709 | .6540624 5.937102 0.11 0.912 -10.99602 12.30414 + 710 | 8.487328 6.316108 1.34 0.179 -3.906454 20.88111 + 711 | 16.20477 11.33455 1.43 0.153 -6.036458 38.44599 + 798 | -2.866126 4.813429 -0.60 0.552 -12.31128 6.579024 + 799 | 7.148487 6.44521 1.11 0.268 -5.498626 19.7956 + 800 | 1.925073 4.89669 0.39 0.694 -7.683455 11.5336 + 801 | 5.893509 7.825722 0.75 0.452 -9.462512 21.24953 + 802 | -6.022802 4.969886 -1.21 0.226 -15.77496 3.729356 + 803 | 2.722037 4.537178 0.60 0.549 -6.18104 11.62511 + 805 | -1.964192 5.535776 -0.35 0.723 -12.82677 8.898383 + 806 | 3.892331 4.555685 0.85 0.393 -5.047061 12.83172 + 807 | 10.28523 7.065132 1.46 0.146 -3.578324 24.14879 + 898 | 27.19865 11.24822 2.42 0.016 5.126841 49.27046 + 899 | -.6751706 8.688695 -0.08 0.938 -17.72456 16.37422 + 1000 | 7.555037 8.053582 0.94 0.348 -8.248103 23.35818 + 1001 | 1.461406 5.41917 0.27 0.787 -9.17236 12.09517 + 1002 | -.9214216 5.054326 -0.18 0.855 -10.83927 8.99643 + 1003 | 1.529433 4.896332 0.31 0.755 -8.078393 11.13726 + 1005 | 12.34949 11.51445 1.07 0.284 -10.24473 34.94371 + 1006 | 4.560681 6.434631 0.71 0.479 -8.065673 17.18703 + 1007 | .8652215 5.766544 0.15 0.881 -10.45018 12.18062 + 1010 | -5.947846 5.893552 -1.01 0.313 -17.51247 5.616777 + 1098 | -3.606606 6.274771 -0.57 0.566 -15.91928 8.706063 + 1099 | -1.655182 6.160958 -0.27 0.788 -13.74452 10.43416 + 1200 | 12.41755 12.44071 1.00 0.318 -11.99424 36.82934 + 1201 | 3.072673 6.890893 0.45 0.656 -10.44898 16.59433 + 1202 | 2.395818 5.820263 0.41 0.681 -9.024991 13.81663 + 1203 | -1.461381 9.469588 -0.15 0.877 -20.04308 17.12032 + 1204 | 6.204436 5.663377 1.10 0.274 -4.908525 17.3174 + 1205 | 13.19865 7.682577 1.72 0.086 -1.876483 28.27379 + 1206 | 4.103631 5.464461 0.75 0.453 -6.619006 14.82627 + 1207 | 3.586444 6.152807 0.58 0.560 -8.4869 15.65979 + 1208 | 11.29494 5.505411 2.05 0.040 .491952 22.09793 + 1209 | 9.92264 4.923966 2.02 0.044 .260589 19.58469 + 1210 | 15.22488 7.464722 2.04 0.042 .5772278 29.87253 + 1211 | 3.861086 6.099161 0.63 0.527 -8.106991 15.82916 + 1299 | 16.05561 7.116626 2.26 0.024 2.091013 30.02021 + 1300 | 6.146832 5.042622 1.22 0.223 -3.748051 16.04172 + 1301 | 11.33228 6.485679 1.75 0.081 -1.394242 24.0588 + 1302 | -1.973472 4.933283 -0.40 0.689 -11.65381 7.706862 + 1303 | 4.569278 5.440261 0.84 0.401 -6.105872 15.24443 + 1304 | 10.85577 14.04236 0.77 0.440 -16.69886 38.4104 + 1305 | 8.384997 8.376462 1.00 0.317 -8.051713 24.82171 + 1399 | -1.196346 4.703623 -0.25 0.799 -10.42603 8.033337 + 1400 | 7.236831 6.714801 1.08 0.281 -5.939286 20.41295 + 1401 | 16.89997 7.094858 2.38 0.017 2.97809 30.82186 + 1403 | 7.538844 5.167147 1.46 0.145 -2.60039 17.67808 + 1404 | -2.810511 5.306193 -0.53 0.596 -13.22259 7.601566 + 1405 | 2.72175 6.232654 0.44 0.662 -9.508274 14.95177 + 1406 | 4.095796 5.642858 0.73 0.468 -6.976901 15.16849 + 1407 | .6365283 7.927258 0.08 0.936 -14.91873 16.19179 + 1408 | 22.56352 11.4142 1.98 0.048 .1660095 44.96103 + 1409 | 10.71845 7.158525 1.50 0.135 -3.32836 24.76527 + 1410 | 4.259728 5.377651 0.79 0.428 -6.292566 14.81202 + 1499 | 7.703025 8.514646 0.90 0.366 -9.004837 24.41089 + 1500 | -4.425419 5.306292 -0.83 0.404 -14.83769 5.986851 + 1501 | 7.261895 6.066223 1.20 0.232 -4.64155 19.16534 + 1502 | 20.20775 11.44717 1.77 0.078 -2.25445 42.66995 + 1504 | 10.73142 5.788062 1.85 0.064 -.6262013 22.08904 + 1505 | 9.647292 7.261903 1.33 0.184 -4.602377 23.89696 + 1507 | -2.955116 4.45841 -0.66 0.508 -11.70363 5.793399 + 1520 | 1.262624 6.14207 0.21 0.837 -10.78965 13.3149 + 1521 | 3.216189 4.420578 0.73 0.467 -5.458091 11.89047 + 1522 | .0382004 5.597268 0.01 0.995 -10.94504 11.02144 + 1523 | 2.062024 4.625365 0.45 0.656 -7.014099 11.13815 + 1524 | -9.138355 5.4771 -1.67 0.096 -19.88579 1.609084 + 1525 | 7.147453 5.797365 1.23 0.218 -4.228426 18.52333 + 1526 | -5.513653 4.568449 -1.21 0.228 -14.47809 3.450785 + 1599 | 5.226897 5.900256 0.89 0.376 -6.350879 16.80467 + 1600 | 2.540494 5.405258 0.47 0.638 -8.065974 13.14696 + 1602 | 19.91401 18.40391 1.08 0.279 -16.19906 56.02708 + 1603 | -1.202138 8.000699 -0.15 0.881 -16.90151 14.49723 + 1604 | 1.330159 6.253251 0.21 0.832 -10.94028 13.6006 + 1605 | 17.87233 14.17534 1.26 0.208 -9.943238 45.6879 + 1606 | 40.48353 15.50658 2.61 0.009 10.05575 70.91132 + 1608 | 15.49572 6.362065 2.44 0.015 3.011758 27.97968 + 1609 | 7.751323 7.520721 1.03 0.303 -7.006211 22.50886 + 1610 | 8.809963 5.479031 1.61 0.108 -1.941265 19.56119 + 1611 | -3.054055 4.429302 -0.69 0.491 -11.74545 5.637341 + 1612 | 3.218639 5.962866 0.54 0.589 -8.481994 14.91927 + 1614 | 3.730704 6.565665 0.57 0.570 -9.15277 16.61418 + 1615 | 1.760105 5.209589 0.34 0.736 -8.462409 11.98262 + 1616 | -3.840467 4.981639 -0.77 0.441 -13.61569 5.934752 + 1617 | .1696722 6.478049 0.03 0.979 -12.54188 12.88122 + 1619 | 2.884331 6.211983 0.46 0.643 -9.305131 15.07379 + 1620 | 7.291277 10.05275 0.73 0.468 -12.43472 27.01728 + 1698 | 2.011164 4.990584 0.40 0.687 -7.781608 11.80394 + 1699 | 19.10012 9.385685 2.04 0.042 .6830607 37.51718 + 1700 | 13.22068 8.59626 1.54 0.124 -3.647334 30.08869 + 1701 | 11.00101 5.362087 2.05 0.040 .4792556 21.52276 + 1704 | -.4981819 4.937724 -0.10 0.920 -10.18723 9.190866 + 1705 | -13.51746 7.261251 -1.86 0.063 -27.76585 .730926 + 1706 | -6.66023 5.138781 -1.30 0.195 -16.7438 3.423341 + 1707 | 2.498087 5.99783 0.42 0.677 -9.271153 14.26733 + 1708 | 9.815306 6.727326 1.46 0.145 -3.385389 23.016 + 1709 | 4.705065 5.226862 0.90 0.368 -5.551343 14.96147 + 1798 | 13.44773 9.581284 1.40 0.161 -5.353148 32.2486 + 1799 | 9.953523 9.075648 1.10 0.273 -7.855165 27.76221 + 1800 | 4.30006 7.380332 0.58 0.560 -10.182 18.78211 + 1802 | 16.34017 9.090685 1.80 0.073 -1.498025 34.17837 + 1803 | -8.842636 6.18253 -1.43 0.153 -20.9743 3.289031 + 1804 | .8250312 7.504087 0.11 0.912 -13.89986 15.54992 + 1806 | 19.93912 11.56142 1.72 0.085 -2.747275 42.62552 + 1807 | -6.688826 4.667383 -1.43 0.152 -15.8474 2.469745 + 1808 | 102.5636 6.210289 16.52 0.000 90.37744 114.7497 + 1899 | 12.1392 29.42376 0.41 0.680 -45.59756 69.87597 + 1900 | -4.449138 5.898094 -0.75 0.451 -16.02267 7.124395 + 1901 | 13.97104 6.632283 2.11 0.035 .9568395 26.98523 + 1902 | 9.104688 10.34775 0.88 0.379 -11.20019 29.40957 + 1905 | 34.53059 13.28918 2.60 0.009 8.453898 60.60728 + 1906 | -5.051286 5.550063 -0.91 0.363 -15.9419 5.839324 + 1907 | 61.76019 28.57724 2.16 0.031 5.684499 117.8359 + 1908 | -5.129151 7.088503 -0.72 0.469 -19.03856 8.780262 + 1909 | 1.885712 13.07697 0.14 0.885 -23.77458 27.546 + 1910 | -5.460962 5.16285 -1.06 0.290 -15.59176 4.669839 + 1911 | 8.064237 9.219847 0.87 0.382 -10.02741 26.15588 + 1914 | 8.953646 8.03314 1.11 0.265 -6.809381 24.71667 + 1919 | -4.705698 4.678673 -1.01 0.315 -13.88642 4.475027 + 1920 | 6.722093 5.64099 1.19 0.234 -4.346938 17.79112 + 1925 | -1.500729 5.38824 -0.28 0.781 -12.0738 9.072344 + 1926 | 27.34755 17.1423 1.60 0.111 -6.28992 60.98502 + 1927 | .6841178 6.808467 0.10 0.920 -12.6758 14.04403 + 1929 | -3.515768 8.979835 -0.39 0.695 -21.13645 14.10491 + 1999 | -7.478668 5.738139 -1.30 0.193 -18.73833 3.780993 + 2000 | 2.202417 6.582571 0.33 0.738 -10.71423 15.11907 + 2001 | .9329301 7.293699 0.13 0.898 -13.37913 15.24499 + 2002 | 3.636452 5.822628 0.62 0.532 -7.788999 15.0619 + 2003 | 33.62729 10.48167 3.21 0.001 13.05964 54.19495 + 2004 | 1.837116 6.512696 0.28 0.778 -10.94242 14.61665 + 2005 | .3093845 8.835562 0.04 0.972 -17.0282 17.64696 + 2006 | 109.682 24.2263 4.53 0.000 62.14393 157.22 + 2007 | -2.464348 4.954487 -0.50 0.619 -12.18629 7.257594 + 2008 | 10.88102 5.915714 1.84 0.066 -.7270904 22.48913 + 2009 | -1.210357 5.572655 -0.22 0.828 -12.1453 9.724584 + 2011 | -5.133253 8.029746 -0.64 0.523 -20.88962 10.62311 + 2012 | -9.391986 10.1326 -0.93 0.354 -29.27467 10.4907 + 2013 | 18.24112 6.259093 2.91 0.004 5.959219 30.52303 + 2014 | 12.45955 22.93512 0.54 0.587 -32.54489 57.46399 + 2015 | 9.826256 6.309511 1.56 0.120 -2.554582 22.20709 + 2030 | 9.555656 11.25994 0.85 0.396 -12.53915 31.65047 + 2099 | 37.53968 21.41905 1.75 0.080 -4.489848 79.56921 + 2100 | 9.010233 8.320005 1.08 0.279 -7.315695 25.33616 + 2101 | 16.2061 13.08165 1.24 0.216 -9.463365 41.87557 + 2102 | 2.728809 5.213685 0.52 0.601 -7.501744 12.95936 + 2103 | 3.785562 5.893871 0.64 0.521 -7.779685 15.35081 + 2104 | -.5035121 5.551711 -0.09 0.928 -11.39736 10.39033 + 9999 | 54.90796 15.22766 3.61 0.000 25.0275 84.78843 + | + house_administration | 29.7826 14.56617 2.04 0.041 1.20014 58.36507 + house_agriculture | 8.107749 2.472989 3.28 0.001 3.255127 12.96037 + house_appropriations | 1.836288 4.525357 0.41 0.685 -7.043593 10.71617 + house_armedservices | .3578217 2.435295 0.15 0.883 -4.420836 5.136479 + house_budget | -.2396719 3.302438 -0.07 0.942 -6.719879 6.240536 + house_dc | -13.36139 5.112233 -2.61 0.009 -23.39287 -3.329912 + house_educlabor | 3.241477 1.69883 1.91 0.057 -.0920506 6.575006 + house_energycommerce | 6.443413 1.721906 3.74 0.000 3.064603 9.822223 + house_foreignaffairs | 10.82873 3.550079 3.05 0.002 3.862589 17.79487 + house_governmentop | 6.803377 4.729573 1.44 0.151 -2.477226 16.08398 + house_intelligence | 20.38236 6.597079 3.09 0.002 7.437245 33.32748 + house_interior | -7.238798 7.512733 -0.96 0.336 -21.98066 7.503061 + house_judiciary | 2.998988 1.498248 2.00 0.046 .0590514 5.938925 + house_mmf | 1.874226 4.662254 0.40 0.688 -7.274282 11.02273 + house_pocs | -6.557393 4.207426 -1.56 0.119 -14.81341 1.698628 + house_pwt | -3.142874 4.235963 -0.74 0.458 -11.45489 5.169144 + house_rules | 6.853049 3.066251 2.23 0.026 .8362993 12.8698 + house_sst | .9741706 4.325849 0.23 0.822 -7.514225 9.462567 + house_smallbusi | .1521902 2.29965 0.07 0.947 -4.360298 4.664679 + house_soc | -11.98396 12.48263 -0.96 0.337 -36.478 12.51008 + house_veterans | 8.12616 7.655195 1.06 0.289 -6.895244 23.14756 + house_waysandmeans | .9687345 1.624815 0.60 0.551 -2.219559 4.157028 +house_naturalresources | -3.673106 5.026829 -0.73 0.465 -13.537 6.190789 + house_bfs | 1.324207 2.004288 0.66 0.509 -2.608706 5.25712 + house_eeo | -9.958599 2.745568 -3.63 0.000 -15.34609 -4.571109 + house_govreform | 3.594872 3.618113 0.99 0.321 -3.504769 10.69451 + house_ir | 5.41971 3.460451 1.57 0.118 -1.370559 12.20998 + house_natsecur | 2.010404 4.435272 0.45 0.650 -6.692708 10.71352 + house_oversight | 3.348087 3.631258 0.92 0.357 -3.777348 10.47352 + house_resources | -1.796429 5.162684 -0.35 0.728 -11.92691 8.334047 + house_science | -1.774292 2.376256 -0.75 0.455 -6.4371 2.888517 + house_transp | 4.668904 5.162921 0.90 0.366 -5.462037 14.79985 + house_homeland | 2.666544 3.58026 0.74 0.457 -4.35882 9.691909 + _cons | 11.79806 5.050429 2.34 0.020 1.887852 21.70826 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,040 1 0 1 1 + + +j = 4 k = 3 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 13.03771 22.75762 .5728944 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(6,677 missing values generated) +(54,574 missing values generated) +(47,897 real changes made) +reg numb_cosponsors sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==200 & tag_bill==1 & tenured==0, robust cluster(group_sponsor) +(sum of wgt is 26,099.9200919867) + +Linear regression Number of obs = 11,241 + F(260, 1110) = . + Prob > F = . + R-squared = 0.2482 + Root MSE = 29.567 + + (Std. Err. adjusted for 1,111 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | .8572037 1.01968 0.84 0.401 -1.143514 2.857922 + | + v2 | + 102 | 1.189875 3.080722 0.39 0.699 -4.85482 7.234571 + 103 | -2.111074 2.705134 -0.78 0.435 -7.418826 3.196679 + 104 | -3.713251 2.991873 -1.24 0.215 -9.583616 2.157113 + 105 | -2.145036 2.987669 -0.72 0.473 -8.007152 3.71708 + 106 | -.2637683 2.951331 -0.09 0.929 -6.054584 5.527048 + 107 | -2.00715 2.873376 -0.70 0.485 -7.645011 3.630712 + 108 | 2.194828 3.215941 0.68 0.495 -4.115182 8.504837 + 109 | -2.400214 2.839163 -0.85 0.398 -7.970946 3.170518 + 110 | -7.546543 3.454973 -2.18 0.029 -14.32556 -.767528 + 111 | -5.487298 3.304641 -1.66 0.097 -11.97135 .9967485 + | + minor | + 101 | -1.400567 9.426249 -0.15 0.882 -19.89584 17.09471 + 103 | 3.896876 9.991545 0.39 0.697 -15.70757 23.50132 + 104 | 2.55748 9.784469 0.26 0.794 -16.64066 21.75562 + 105 | 11.99112 9.702808 1.24 0.217 -7.046795 31.02903 + 107 | 18.74941 9.220914 2.03 0.042 .6570221 36.8418 + 108 | 1.04172 8.830718 0.12 0.906 -16.28506 18.3685 + 110 | 17.58931 20.88223 0.84 0.400 -23.38379 58.5624 + 200 | 20.96722 11.28425 1.86 0.063 -1.173649 43.10809 + 202 | 15.11179 9.607962 1.57 0.116 -3.740027 33.9636 + 204 | 2.559063 9.402356 0.27 0.786 -15.88933 21.00746 + 205 | 157.9611 50.05202 3.16 0.002 59.75382 256.1683 + 206 | 28.13578 11.87524 2.37 0.018 4.835337 51.43622 + 207 | 10.49244 11.39649 0.92 0.357 -11.86864 32.85352 + 208 | 15.45895 9.61747 1.61 0.108 -3.411523 34.32942 + 209 | -4.616281 8.701529 -0.53 0.596 -21.68958 12.45702 + 299 | 49.43546 26.74804 1.85 0.065 -3.04696 101.9179 + 300 | 25.20448 10.85013 2.32 0.020 3.915406 46.49355 + 301 | 11.31571 9.397461 1.20 0.229 -7.12308 29.7545 + 302 | 14.48056 10.29418 1.41 0.160 -5.71769 34.67881 + 321 | 49.26281 23.65018 2.08 0.037 2.858708 95.66692 + 322 | 4.468153 9.441411 0.47 0.636 -14.05687 22.99318 + 323 | 10.6428 11.33272 0.94 0.348 -11.59317 32.87876 + 324 | -.0931712 9.42162 -0.01 0.992 -18.57936 18.39302 + 325 | 8.199958 9.320554 0.88 0.379 -10.08793 26.48785 + 331 | 19.34284 9.911241 1.95 0.051 -.1040366 38.78973 + 332 | 18.59913 9.552753 1.95 0.052 -.1443563 37.34262 + 333 | 2.068448 10.05683 0.21 0.837 -17.66409 21.80098 + 334 | 15.08448 9.444 1.60 0.110 -3.445624 33.61459 + 335 | 3.67444 9.506522 0.39 0.699 -14.97834 22.32722 + 336 | 16.20206 10.94488 1.48 0.139 -5.272925 37.67704 + 341 | 17.05257 12.18142 1.40 0.162 -6.848632 40.95377 + 342 | 18.4624 12.67164 1.46 0.145 -6.400666 43.32547 + 343 | 5.015178 9.165536 0.55 0.584 -12.96855 22.99891 + 344 | 57.61875 21.28172 2.71 0.007 15.86181 99.37568 + 398 | 15.76192 11.10702 1.42 0.156 -6.031204 37.55504 + 399 | 24.97557 17.80604 1.40 0.161 -9.961722 59.91287 + 400 | 10.67797 11.29194 0.95 0.345 -11.47799 32.83393 + 401 | 11.18124 11.5244 0.97 0.332 -11.43083 33.7933 + 402 | 14.60636 9.541213 1.53 0.126 -4.11449 33.3272 + 403 | 28.94309 12.04357 2.40 0.016 5.312364 52.57382 + 404 | 8.48842 8.981381 0.95 0.345 -9.133979 26.11082 + 405 | 14.96998 10.62433 1.41 0.159 -5.876055 35.81601 + 498 | 30.5673 17.27994 1.77 0.077 -3.33774 64.47234 + 499 | 26.4229 18.03345 1.47 0.143 -8.960602 61.8064 + 500 | 13.222 12.61744 1.05 0.295 -11.53473 37.97872 + 501 | 9.278162 9.350752 0.99 0.321 -9.068982 27.62531 + 502 | 19.34617 11.41342 1.70 0.090 -3.048134 41.74047 + 503 | 7.498776 8.772495 0.85 0.393 -9.713767 24.71132 + 504 | 31.41316 9.110893 3.45 0.001 13.53664 49.28967 + 505 | 18.09532 10.41281 1.74 0.083 -2.335697 38.52634 + 506 | 38.47072 17.66083 2.18 0.030 3.818339 73.1231 + 508 | 17.55234 11.44186 1.53 0.125 -4.89777 40.00245 + 529 | 31.64026 16.04751 1.97 0.049 .1533843 63.12714 + 530 | 14.64823 8.870332 1.65 0.099 -2.756277 32.05274 + 599 | 28.30264 8.623591 3.28 0.001 11.38227 45.22302 + 600 | 21.85023 11.07893 1.97 0.049 .1122303 43.58823 + 601 | 11.61242 9.024558 1.29 0.198 -6.094696 29.31954 + 602 | 12.80451 8.900458 1.44 0.151 -4.659111 30.26813 + 603 | 17.07152 9.589645 1.78 0.075 -1.744357 35.88739 + 604 | 4.404639 8.716221 0.51 0.613 -12.69749 21.50677 + 606 | 13.33275 9.711886 1.37 0.170 -5.722972 32.38848 + 607 | 19.76498 13.50939 1.46 0.144 -6.741849 46.27181 + 609 | 4.452024 9.917261 0.45 0.654 -15.00667 23.91072 + 698 | 6.418428 11.50914 0.56 0.577 -16.1637 29.00056 + 699 | 5.257536 9.537284 0.55 0.582 -13.4556 23.97067 + 700 | 2.422754 8.821391 0.27 0.784 -14.88573 19.73124 + 701 | 15.76121 14.92008 1.06 0.291 -13.51354 45.03595 + 703 | -.3300148 8.796381 -0.04 0.970 -17.58942 16.92939 + 704 | 2.010987 8.720802 0.23 0.818 -15.10013 19.1221 + 705 | 25.73611 12.38956 2.08 0.038 1.42652 50.0457 + 707 | 33.20724 13.95953 2.38 0.018 5.817192 60.59728 + 708 | 16.86436 11.08184 1.52 0.128 -4.879355 38.60807 + 709 | 16.08915 9.48052 1.70 0.090 -2.512613 34.69091 + 710 | 5.658558 9.283563 0.61 0.542 -12.55675 23.87387 + 711 | 4.483371 8.739252 0.51 0.608 -12.66394 21.63069 + 798 | -1.132073 9.226416 -0.12 0.902 -19.23526 16.97111 + 799 | 16.83763 9.840839 1.71 0.087 -2.471113 36.14638 + 800 | 1.42363 9.442695 0.15 0.880 -17.10391 19.95117 + 801 | -.507754 8.988408 -0.06 0.955 -18.14394 17.12843 + 802 | .2115728 8.833022 0.02 0.981 -17.11973 17.54288 + 803 | 7.000114 8.946774 0.78 0.434 -10.55438 24.55461 + 805 | -.1146475 9.029691 -0.01 0.990 -17.83184 17.60254 + 806 | 6.230653 9.208438 0.68 0.499 -11.83725 24.29856 + 807 | 4.05819 9.098975 0.45 0.656 -13.79494 21.91132 + 898 | 6.01595 8.88068 0.68 0.498 -11.40886 23.44076 + 899 | 1.540878 8.961698 0.17 0.864 -16.0429 19.12466 + 1000 | 6.793924 10.01973 0.68 0.498 -12.86583 26.45368 + 1001 | 1.36408 8.706581 0.16 0.876 -15.71913 18.44729 + 1002 | 10.09444 9.586558 1.05 0.293 -8.715382 28.90426 + 1003 | 7.918825 8.872201 0.89 0.372 -9.489351 25.327 + 1005 | .204788 8.997906 0.02 0.982 -17.45003 17.85961 + 1006 | 11.57675 9.491183 1.22 0.223 -7.045936 30.19943 + 1007 | 2.256396 8.796072 0.26 0.798 -15.00241 19.5152 + 1010 | 2.184585 9.540913 0.23 0.819 -16.53567 20.90484 + 1098 | -1.253314 9.103731 -0.14 0.891 -19.11578 16.60915 + 1099 | 17.88912 15.02588 1.19 0.234 -11.59322 47.37146 + 1200 | 7.065246 11.42183 0.62 0.536 -15.34557 29.47606 + 1201 | 10.97519 9.565873 1.15 0.251 -7.794038 29.74443 + 1202 | 11.04416 11.78939 0.94 0.349 -12.08784 34.17616 + 1203 | 8.170266 9.045878 0.90 0.367 -9.578684 25.91922 + 1204 | 11.98053 9.202517 1.30 0.193 -6.075763 30.03682 + 1205 | 3.175287 9.075129 0.35 0.726 -14.63105 20.98163 + 1206 | 4.008698 8.856549 0.45 0.651 -13.36877 21.38616 + 1207 | 10.76111 9.439046 1.14 0.255 -7.759275 29.28149 + 1208 | 27.70401 9.94572 2.79 0.005 8.189476 47.21854 + 1209 | 13.27493 9.064287 1.46 0.143 -4.510144 31.06 + 1210 | 7.413864 9.058209 0.82 0.413 -10.35928 25.18701 + 1211 | 24.16971 15.06622 1.60 0.109 -5.391768 53.73119 + 1299 | -.3081107 9.058561 -0.03 0.973 -18.08194 17.46572 + 1300 | 6.843682 11.58853 0.59 0.555 -15.89422 29.58159 + 1301 | 24.7169 17.47835 1.41 0.158 -9.577435 59.01124 + 1302 | 27.1665 15.32308 1.77 0.077 -2.898965 57.23197 + 1303 | 11.2712 9.067799 1.24 0.214 -6.520759 29.06316 + 1304 | 21.48974 12.4403 1.73 0.084 -2.919411 45.8989 + 1305 | 13.99164 13.61517 1.03 0.304 -12.72274 40.70602 + 1399 | -7.006035 9.333838 -0.75 0.453 -25.31999 11.30792 + 1400 | 12.27147 11.07092 1.11 0.268 -9.450819 33.99375 + 1401 | 23.51676 11.38396 2.07 0.039 1.180254 45.85326 + 1403 | 8.3607 10.06647 0.83 0.406 -11.39077 28.11216 + 1404 | 3.982965 14.02319 0.28 0.776 -23.53199 31.49792 + 1405 | 4.612148 9.465276 0.49 0.626 -13.9597 23.184 + 1406 | .9988567 9.621077 0.10 0.917 -17.87869 19.8764 + 1407 | 9.842889 10.44995 0.94 0.346 -10.66099 30.34677 + 1408 | 57.30614 29.23373 1.96 0.050 -.0534642 114.6657 + 1409 | 30.66552 14.10685 2.17 0.030 2.986425 58.34462 + 1410 | 16.7978 11.33042 1.48 0.138 -5.433653 39.02926 + 1499 | -3.375787 8.674536 -0.39 0.697 -20.39612 13.64455 + 1500 | 9.462964 9.603843 0.99 0.325 -9.380769 28.3067 + 1501 | 3.656993 8.927034 0.41 0.682 -13.85877 21.17276 + 1502 | 5.359677 9.366524 0.57 0.567 -13.01841 23.73776 + 1504 | 11.97367 9.317956 1.29 0.199 -6.309125 30.25646 + 1505 | 15.09172 10.04853 1.50 0.133 -4.624537 34.80798 + 1507 | 25.52354 22.70175 1.12 0.261 -19.01965 70.06673 + 1520 | 39.78443 34.50066 1.15 0.249 -27.90942 107.4783 + 1521 | 8.910188 8.748334 1.02 0.309 -8.254948 26.07532 + 1522 | 19.09718 12.56862 1.52 0.129 -5.563739 43.75811 + 1523 | 8.43018 8.808121 0.96 0.339 -8.852265 25.71263 + 1524 | 27.40112 12.77578 2.14 0.032 2.33372 52.46851 + 1525 | 8.010233 9.732041 0.82 0.411 -11.08504 27.1055 + 1526 | 13.30757 9.7019 1.37 0.170 -5.728563 32.3437 + 1599 | 59.16256 38.02398 1.56 0.120 -15.44443 133.7696 + 1600 | 34.23522 22.7617 1.50 0.133 -10.42559 78.89602 + 1602 | -7.171766 15.33799 -0.47 0.640 -37.26649 22.92296 + 1603 | .4913327 14.64183 0.03 0.973 -28.23745 29.22012 + 1604 | 14.91215 11.6319 1.28 0.200 -7.910832 37.73513 + 1605 | 1.407083 10.731 0.13 0.896 -19.64824 22.46241 + 1606 | .6085169 9.704158 0.06 0.950 -18.43204 19.64908 + 1608 | 12.84781 10.64064 1.21 0.228 -8.030232 33.72585 + 1609 | 5.535692 9.455765 0.59 0.558 -13.0175 24.08888 + 1610 | -5.741613 11.1543 -0.51 0.607 -27.6275 16.14427 + 1611 | -1.976585 9.909293 -0.20 0.842 -21.41964 17.46647 + 1612 | 11.79227 10.88094 1.08 0.279 -9.55725 33.1418 + 1614 | -9.358355 10.86403 -0.86 0.389 -30.6747 11.95799 + 1615 | 5.107678 8.746765 0.58 0.559 -12.05438 22.26974 + 1616 | -8.066466 10.16977 -0.79 0.428 -28.02061 11.88768 + 1617 | .5682198 10.2897 0.06 0.956 -19.62123 20.75767 + 1619 | 2.097466 11.60048 0.18 0.857 -20.66388 24.85881 + 1620 | 6.478581 9.681255 0.67 0.504 -12.51704 25.4742 + 1698 | -8.048543 9.367969 -0.86 0.390 -26.42947 10.33238 + 1699 | 10.05996 10.24096 0.98 0.326 -10.03387 30.15379 + 1700 | 70.89995 20.94563 3.38 0.001 29.80245 111.9974 + 1701 | 7.639947 10.54443 0.72 0.469 -13.04931 28.3292 + 1704 | 11.61165 9.272765 1.25 0.211 -6.582477 29.80577 + 1705 | -6.359533 9.520667 -0.67 0.504 -25.04007 12.321 + 1706 | 13.79182 9.755719 1.41 0.158 -5.349909 32.93355 + 1707 | 21.48926 10.42988 2.06 0.040 1.024758 41.95377 + 1708 | 4.259783 8.914793 0.48 0.633 -13.23196 21.75153 + 1709 | 26.61033 11.42265 2.33 0.020 4.19792 49.02275 + 1798 | -3.629472 9.249863 -0.39 0.695 -21.77866 14.51972 + 1799 | 5.116186 10.15635 0.50 0.615 -14.81163 25.044 + 1800 | -2.313762 9.129675 -0.25 0.800 -20.22713 15.5996 + 1802 | 4.745552 9.23545 0.51 0.607 -13.37536 22.86646 + 1803 | 43.89253 19.78612 2.22 0.027 5.070109 82.71494 + 1804 | 20.99635 12.41297 1.69 0.091 -3.359187 45.35189 + 1806 | .0356399 8.948271 0.00 0.997 -17.52179 17.59307 + 1807 | -4.985525 8.753107 -0.57 0.569 -22.16003 12.18898 + 1808 | -3.606698 8.643705 -0.42 0.677 -20.56654 13.35315 + 1899 | 21.33211 21.16434 1.01 0.314 -20.19451 62.85873 + 1900 | 22.18846 12.38489 1.79 0.073 -2.111984 46.4889 + 1901 | 21.89937 10.85765 2.02 0.044 .595533 43.20321 + 1902 | 21.12232 10.47099 2.02 0.044 .5771626 41.66749 + 1905 | 1.219157 9.082038 0.13 0.893 -16.60074 19.03906 + 1906 | 10.35661 9.680187 1.07 0.285 -8.636919 29.35014 + 1907 | -.7722094 9.821154 -0.08 0.937 -20.04233 18.49791 + 1908 | 11.03278 11.12091 0.99 0.321 -10.7876 32.85315 + 1910 | 41.93643 10.42866 4.02 0.000 21.47432 62.39854 + 1911 | 16.05005 9.606112 1.67 0.095 -2.798137 34.89823 + 1914 | 39.89469 20.17937 1.98 0.048 .300678 79.4887 + 1919 | 9.374495 10.53562 0.89 0.374 -11.29749 30.04648 + 1920 | 21.38954 12.12055 1.76 0.078 -2.392225 45.1713 + 1925 | 24.76041 11.46711 2.16 0.031 2.260748 47.26007 + 1926 | 25.43661 10.50337 2.42 0.016 4.827915 46.04531 + 1927 | 22.93699 10.67394 2.15 0.032 1.993609 43.88036 + 1929 | 27.86959 14.23978 1.96 0.051 -.0703249 55.80951 + 1999 | 8.568164 9.874826 0.87 0.386 -10.80727 27.9436 + 2000 | -1.141077 8.661811 -0.13 0.895 -18.13645 15.85429 + 2001 | 3.021609 8.077512 0.37 0.708 -12.8273 18.87052 + 2002 | 19.08219 10.01114 1.91 0.057 -.5606953 38.72508 + 2003 | 52.14478 29.52499 1.77 0.078 -5.786303 110.0759 + 2004 | 8.363941 9.140656 0.92 0.360 -9.570972 26.29885 + 2005 | 2.07361 9.024896 0.23 0.818 -15.63417 19.78139 + 2006 | 157.6592 39.98616 3.94 0.000 79.2022 236.1162 + 2007 | 6.968936 14.25236 0.49 0.625 -20.99568 34.93355 + 2008 | 18.48669 9.316744 1.98 0.047 .2062701 36.7671 + 2009 | 13.97409 12.64587 1.11 0.269 -10.8384 38.78659 + 2011 | 10.5774 8.598782 1.23 0.219 -6.294302 27.4491 + 2012 | 3.156126 8.679932 0.36 0.716 -13.8748 20.18705 + 2013 | 11.20965 9.443636 1.19 0.235 -7.319743 29.73904 + 2014 | 12.10669 9.695703 1.25 0.212 -6.91728 31.13066 + 2015 | 13.76263 11.53517 1.19 0.233 -8.870572 36.39583 + 2030 | 11.32953 14.94983 0.76 0.449 -18.00359 40.66265 + 2099 | 47.12609 33.99998 1.39 0.166 -19.58539 113.8376 + 2100 | 2.855724 8.807857 0.32 0.746 -14.4262 20.13765 + 2101 | 7.744914 8.927395 0.87 0.386 -9.771559 25.26139 + 2102 | 6.275267 8.960269 0.70 0.484 -11.30571 23.85624 + 2103 | 2.68631 8.727022 0.31 0.758 -14.43701 19.80963 + 2104 | 1.675841 8.680807 0.19 0.847 -15.3568 18.70848 + 2105 | 18.68835 17.70554 1.06 0.291 -16.05175 53.42845 + 2199 | 12.71502 9.301699 1.37 0.172 -5.535875 30.96592 + 9999 | 17.08596 16.76994 1.02 0.308 -15.81839 49.99032 + | + house_administration | -1.475249 2.880205 -0.51 0.609 -7.126509 4.176012 + house_agriculture | 6.288725 1.976429 3.18 0.002 2.410766 10.16668 + house_appropriations | 12.30452 4.314973 2.85 0.004 3.838098 20.77094 + house_armedservices | 9.597414 6.671463 1.44 0.151 -3.492687 22.68752 + house_budget | 4.153959 3.989724 1.04 0.298 -3.674293 11.98221 + house_dc | 3.440376 5.335139 0.64 0.519 -7.027719 13.90847 + house_educlabor | .1755763 2.481718 0.07 0.944 -4.69381 5.044963 + house_energycommerce | 4.541553 2.089577 2.17 0.030 .4415866 8.641519 + house_foreignaffairs | -5.778712 4.242403 -1.36 0.173 -14.10275 2.545322 + house_governmentop | 8.169316 3.682931 2.22 0.027 .9430248 15.39561 + house_intelligence | 55.79618 20.54494 2.72 0.007 15.48487 96.10748 + house_interior | -7.628489 2.486591 -3.07 0.002 -12.50744 -2.74954 + house_judiciary | 4.487567 1.875763 2.39 0.017 .8071252 8.168008 + house_mmf | .0742632 2.511373 0.03 0.976 -4.853311 5.001837 + house_pocs | 3.890689 6.353013 0.61 0.540 -8.574579 16.35596 + house_pwt | -4.357564 2.551126 -1.71 0.088 -9.363136 .6480086 + house_rules | 5.282705 3.77251 1.40 0.162 -2.119349 12.68476 + house_sst | 4.003589 4.076337 0.98 0.326 -3.994606 12.00178 + house_smallbusi | -4.97439 2.716438 -1.83 0.067 -10.30432 .3555415 + house_soc | 1.989413 5.988577 0.33 0.740 -9.760795 13.73962 + house_veterans | 4.526224 3.500417 1.29 0.196 -2.341956 11.3944 + house_waysandmeans | 4.883806 2.923143 1.67 0.095 -.8517026 10.61931 +house_naturalresources | 2.983996 2.766024 1.08 0.281 -2.44323 8.411222 + house_bfs | 5.222805 2.397896 2.18 0.030 .5178845 9.927726 + house_eeo | -.6817835 4.792623 -0.14 0.887 -10.0854 8.721838 + house_govreform | -6.30758 2.235247 -2.82 0.005 -10.69337 -1.921794 + house_ir | -7.882245 4.255536 -1.85 0.064 -16.23205 .4675568 + house_natsecur | 11.10843 4.593779 2.42 0.016 2.094962 20.1219 + house_oversight | 9.271046 2.441041 3.80 0.000 4.48147 14.06062 + house_resources | -1.299044 1.706894 -0.76 0.447 -4.648147 2.05006 + house_science | .8359956 2.362183 0.35 0.723 -3.798852 5.470843 + house_transp | 1.357737 2.119044 0.64 0.522 -2.800046 5.51552 + house_homeland | -3.730295 2.852925 -1.31 0.191 -9.32803 1.867439 + _cons | 2.528928 8.870802 0.29 0.776 -14.8765 19.93436 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,111 1 0 1 1 + + +j = 5 k = 1 + + +rdbwselect_2014 numb_cosponsors MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11990 +----------------------+---------------------- NN matches = 3 + Number of obs | 6151 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 25.22792 46.13311 .5468506 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(7,341 missing values generated) +(54,749 missing values generated) +(47,408 real changes made) +reg numb_cosponsors sponsor_female i.v2 i.minor house_* [aw=wt] if tag_bill==1 & tenured==0, robust cluster(group_sponsor) +(sum of wgt is 40,268.2060945034) + +Linear regression Number of obs = 21,527 + F(265, 2125) = . + Prob > F = . + R-squared = 0.1218 + Root MSE = 30.812 + + (Std. Err. adjusted for 2,126 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 1.09906 .9837345 1.12 0.264 -.8301225 3.028243 + | + v2 | + 102 | -2.140971 2.816488 -0.76 0.447 -7.664331 3.38239 + 103 | -5.085878 2.844817 -1.79 0.074 -10.66479 .4930388 + 104 | -3.507791 2.646653 -1.33 0.185 -8.698091 1.682509 + 105 | -2.873557 2.873043 -1.00 0.317 -8.507826 2.760713 + 106 | -1.946161 2.863287 -0.68 0.497 -7.5613 3.668977 + 107 | -3.931359 3.030185 -1.30 0.195 -9.873798 2.01108 + 108 | -2.000103 3.015043 -0.66 0.507 -7.912847 3.912642 + 109 | -2.950073 2.89762 -1.02 0.309 -8.63254 2.732394 + 110 | -4.407457 2.948477 -1.49 0.135 -10.18966 1.374745 + 111 | -4.756695 3.253731 -1.46 0.144 -11.13752 1.624134 + | + minor | + 101 | -2.548706 5.990733 -0.43 0.671 -14.29702 9.199606 + 103 | -2.913966 6.383032 -0.46 0.648 -15.43161 9.603676 + 104 | 1.776153 6.39998 0.28 0.781 -10.77473 14.32703 + 105 | 11.86151 6.96891 1.70 0.089 -1.805082 25.52811 + 107 | 7.808398 5.480511 1.42 0.154 -2.939328 18.55612 + 108 | 7.023794 6.450976 1.09 0.276 -5.627093 19.67468 + 110 | 15.34601 17.23757 0.89 0.373 -18.45826 49.15027 + 200 | 12.4244 7.398559 1.68 0.093 -2.084771 26.93358 + 201 | 2.306114 6.968855 0.33 0.741 -11.36037 15.9726 + 202 | 11.99191 9.428297 1.27 0.204 -6.497744 30.48156 + 204 | -1.448887 5.953514 -0.24 0.808 -13.12421 10.22644 + 205 | 33.20502 22.29776 1.49 0.137 -10.52269 76.93274 + 206 | 8.383111 8.74834 0.96 0.338 -8.773092 25.53931 + 207 | 26.55763 8.547963 3.11 0.002 9.794378 43.32087 + 208 | 5.941076 5.748671 1.03 0.302 -5.332532 17.21468 + 209 | -8.609705 5.353745 -1.61 0.108 -19.10883 1.889422 + 299 | 43.1969 21.84044 1.98 0.048 .3660268 86.02777 + 300 | 3.873514 6.662182 0.58 0.561 -9.191564 16.93859 + 301 | 7.645062 5.965037 1.28 0.200 -4.052858 19.34298 + 302 | 7.338662 5.720643 1.28 0.200 -3.879982 18.55731 + 321 | 11.13844 7.163133 1.55 0.120 -2.909044 25.18592 + 322 | 1.51393 5.8299 0.26 0.795 -9.918975 12.94684 + 323 | 11.45625 7.235129 1.58 0.113 -2.73242 25.64493 + 324 | 4.833378 6.348943 0.76 0.447 -7.617414 17.28417 + 325 | 11.06366 6.860633 1.61 0.107 -2.390593 24.51792 + 331 | 21.1839 8.423766 2.51 0.012 4.664213 37.70359 + 332 | 6.154583 6.158391 1.00 0.318 -5.922521 18.23169 + 333 | 10.48313 6.715936 1.56 0.119 -2.687367 23.65362 + 334 | 23.64333 8.855994 2.67 0.008 6.276005 41.01065 + 335 | 3.071825 6.129138 0.50 0.616 -8.947911 15.09156 + 336 | 12.13492 7.404613 1.64 0.101 -2.386127 26.65596 + 341 | 9.469707 6.136423 1.54 0.123 -2.564316 21.50373 + 342 | 13.56796 8.015597 1.69 0.091 -2.151272 29.2872 + 343 | 1.688095 6.067058 0.28 0.781 -10.2099 13.58609 + 344 | 5.6522 9.806356 0.58 0.564 -13.57886 24.88326 + 398 | 11.89357 6.690366 1.78 0.076 -1.226784 25.01392 + 399 | 11.78773 8.763549 1.35 0.179 -5.398294 28.97376 + 400 | 7.37566 6.25431 1.18 0.238 -4.889549 19.64087 + 401 | 4.044122 7.318866 0.55 0.581 -10.30877 18.39701 + 402 | 3.864299 5.87845 0.66 0.511 -7.663817 15.39242 + 403 | 10.05372 6.889382 1.46 0.145 -3.456912 23.56436 + 404 | 7.232584 6.610443 1.09 0.274 -5.73103 20.1962 + 405 | 7.000169 6.477262 1.08 0.280 -5.702266 19.7026 + 498 | 1.392069 6.179862 0.23 0.822 -10.72714 13.51128 + 499 | 23.04021 13.9456 1.65 0.099 -4.308249 50.38867 + 500 | 24.33543 11.69918 2.08 0.038 1.392381 47.27848 + 501 | 3.217092 5.902521 0.55 0.586 -8.358229 14.79241 + 502 | 7.606365 5.68692 1.34 0.181 -3.546146 18.75888 + 503 | 8.592076 5.999815 1.43 0.152 -3.174047 20.3582 + 504 | 20.91076 7.206528 2.90 0.004 6.77818 35.04335 + 505 | 6.298727 5.434238 1.16 0.247 -4.358254 16.95571 + 506 | 21.30576 8.517675 2.50 0.012 4.601907 38.00961 + 508 | 15.67247 7.904862 1.98 0.048 .1703975 31.17455 + 529 | 17.57749 10.20092 1.72 0.085 -2.427345 37.58232 + 530 | 10.30276 5.418043 1.90 0.057 -.3224578 20.92798 + 599 | 12.0143 10.1971 1.18 0.239 -7.983026 32.01164 + 600 | 13.74708 7.204089 1.91 0.056 -.380725 27.87488 + 601 | 9.207981 5.68244 1.62 0.105 -1.935743 20.35171 + 602 | 14.70217 5.650598 2.60 0.009 3.62089 25.78345 + 603 | 16.34005 6.788069 2.41 0.016 3.028097 29.652 + 604 | -.3393002 6.11147 -0.06 0.956 -12.32439 11.64579 + 606 | 9.44657 7.608794 1.24 0.215 -5.474892 24.36803 + 607 | 10.90747 6.048173 1.80 0.071 -.9534891 22.76843 + 609 | 4.208839 6.746706 0.62 0.533 -9.021997 17.43967 + 698 | -1.856265 5.85868 -0.32 0.751 -13.34561 9.633081 + 699 | 9.239625 7.092244 1.30 0.193 -4.668839 23.14809 + 700 | .2122112 6.066723 0.03 0.972 -11.68512 12.10955 + 701 | 7.780075 6.761306 1.15 0.250 -5.479393 21.03954 + 703 | -3.642475 5.571916 -0.65 0.513 -14.56945 7.284503 + 704 | -4.563976 5.437738 -0.84 0.401 -15.22782 6.099869 + 705 | 7.63136 6.22728 1.23 0.221 -4.58084 19.84356 + 707 | 28.89687 24.01298 1.20 0.229 -18.19452 75.98826 + 708 | 12.91441 7.057968 1.83 0.067 -.9268325 26.75566 + 709 | 8.665627 6.007868 1.44 0.149 -3.116288 20.44754 + 710 | 6.897558 5.971266 1.16 0.248 -4.812579 18.60769 + 711 | 8.662421 7.264209 1.19 0.233 -5.583282 22.90812 + 798 | -1.699832 5.796134 -0.29 0.769 -13.06652 9.666855 + 799 | 12.8075 7.069894 1.81 0.070 -1.057135 26.67213 + 800 | .9303417 5.69011 0.16 0.870 -10.22842 12.08911 + 801 | -.3548309 6.239646 -0.06 0.955 -12.59128 11.88162 + 802 | -3.681184 5.464195 -0.67 0.501 -14.39691 7.034544 + 803 | 4.155354 5.495446 0.76 0.450 -6.62166 14.93237 + 805 | -5.811453 5.49256 -1.06 0.290 -16.58281 4.959903 + 806 | 3.369636 5.516343 0.61 0.541 -7.44836 14.18763 + 807 | 4.100787 5.599092 0.73 0.464 -6.879486 15.08106 + 898 | 12.17869 10.09439 1.21 0.228 -7.617233 31.97461 + 899 | -.9515811 7.254585 -0.13 0.896 -15.17841 13.27525 + 1000 | 4.553231 6.674102 0.68 0.495 -8.535223 17.64168 + 1001 | -1.289828 5.40259 -0.24 0.811 -11.88474 9.305089 + 1002 | 2.906621 6.17183 0.47 0.638 -9.196837 15.01008 + 1003 | 4.259849 5.574595 0.76 0.445 -6.672383 15.19208 + 1005 | 3.199675 7.665716 0.42 0.676 -11.83342 18.23276 + 1006 | 8.598682 6.39794 1.34 0.179 -3.948196 21.14556 + 1007 | 1.611051 5.717239 0.28 0.778 -9.600918 12.82302 + 1010 | -4.612769 5.767754 -0.80 0.424 -15.9238 6.698264 + 1098 | -4.174684 6.027419 -0.69 0.489 -15.99494 7.645574 + 1099 | 10.8691 12.34658 0.88 0.379 -13.34354 35.08174 + 1200 | 11.42162 9.279066 1.23 0.218 -6.77538 29.61862 + 1201 | 10.24385 7.106266 1.44 0.150 -3.692112 24.17981 + 1202 | 1.405297 6.707777 0.21 0.834 -11.7492 14.55979 + 1203 | 4.588466 6.335954 0.72 0.469 -7.836853 17.01379 + 1204 | 8.29951 5.793711 1.43 0.152 -3.062426 19.66145 + 1205 | 3.953169 5.927046 0.67 0.505 -7.670248 15.57659 + 1206 | 4.405203 5.914033 0.74 0.456 -7.192695 16.0031 + 1207 | 4.748217 5.660269 0.84 0.402 -6.352029 15.84846 + 1208 | 11.02787 6.329918 1.74 0.082 -1.385615 23.44135 + 1209 | 12.58462 5.683496 2.21 0.027 1.438823 23.73042 + 1210 | 9.0437 5.785145 1.56 0.118 -2.301438 20.38884 + 1211 | 16.05992 10.35587 1.55 0.121 -4.248771 36.36861 + 1299 | 3.945777 6.715259 0.59 0.557 -9.223389 17.11494 + 1300 | 5.317142 5.993995 0.89 0.375 -6.437568 17.07185 + 1301 | 20.43904 8.881977 2.30 0.021 3.020762 37.85732 + 1302 | 8.891215 7.743669 1.15 0.251 -6.294747 24.07718 + 1303 | 5.60553 5.529361 1.01 0.311 -5.237995 16.44906 + 1304 | 33.46307 12.93822 2.59 0.010 8.09018 58.83596 + 1305 | 22.09945 10.39978 2.12 0.034 1.704638 42.49426 + 1399 | -1.967323 5.718334 -0.34 0.731 -13.18144 9.246793 + 1400 | 9.62577 6.713437 1.43 0.152 -3.539824 22.79136 + 1401 | 19.92078 7.052598 2.82 0.005 6.09006 33.75149 + 1403 | 7.237765 6.271456 1.15 0.249 -5.061068 19.5366 + 1404 | -2.456463 6.752545 -0.36 0.716 -15.69875 10.78583 + 1405 | .0084527 5.701549 0.00 0.999 -11.17275 11.18965 + 1406 | 1.372896 5.998098 0.23 0.819 -10.38986 13.13565 + 1407 | .9823428 6.769296 0.15 0.885 -12.2928 14.25748 + 1408 | 44.40556 24.37208 1.82 0.069 -3.390068 92.20119 + 1409 | 13.11495 7.554235 1.74 0.083 -1.699516 27.92942 + 1410 | 11.15867 7.819945 1.43 0.154 -4.176872 26.49422 + 1499 | -2.139615 6.477796 -0.33 0.741 -14.8431 10.56387 + 1500 | 3.760864 5.913689 0.64 0.525 -7.836359 15.35809 + 1501 | 4.137043 5.947268 0.70 0.487 -7.52603 15.80012 + 1502 | 2.01629 5.93358 0.34 0.734 -9.619941 13.65252 + 1504 | 8.838061 6.172113 1.43 0.152 -3.265953 20.94207 + 1505 | 8.665441 6.690238 1.30 0.195 -4.454657 21.78554 + 1507 | -.2334555 6.363637 -0.04 0.971 -12.71306 12.24615 + 1520 | 22.20584 22.77309 0.98 0.330 -22.45404 66.86571 + 1521 | 4.895371 5.380848 0.91 0.363 -5.656908 15.44765 + 1522 | 6.921215 7.109158 0.97 0.330 -7.020419 20.86285 + 1523 | 2.817063 5.390067 0.52 0.601 -7.753295 13.38742 + 1524 | 4.046597 8.207794 0.49 0.622 -12.04955 20.14275 + 1525 | 5.088777 5.672007 0.90 0.370 -6.034487 16.21204 + 1526 | 1.791017 5.84403 0.31 0.759 -9.669599 13.25163 + 1599 | 34.00363 23.21463 1.46 0.143 -11.52214 79.52939 + 1600 | 8.199447 6.577887 1.25 0.213 -4.700321 21.09922 + 1602 | 7.222552 13.49344 0.54 0.593 -19.23917 33.68427 + 1603 | 2.495112 8.85964 0.28 0.778 -14.87936 19.86958 + 1604 | 6.023119 6.936774 0.87 0.385 -7.580457 19.6267 + 1605 | 11.36723 9.406247 1.21 0.227 -7.079183 29.81364 + 1606 | 25.15953 16.6144 1.51 0.130 -7.422654 57.74171 + 1608 | 25.51645 10.29541 2.48 0.013 5.326316 45.70658 + 1609 | 7.511426 6.936099 1.08 0.279 -6.090826 21.11368 + 1610 | 1.819223 6.072118 0.30 0.765 -10.08869 13.72714 + 1611 | -4.181726 5.670027 -0.74 0.461 -15.30111 6.937656 + 1612 | 8.172994 6.54821 1.25 0.212 -4.668575 21.01456 + 1614 | .6895139 6.63414 0.10 0.917 -12.32057 13.6996 + 1615 | .6873879 5.678849 0.12 0.904 -10.4493 11.82407 + 1616 | -3.87085 5.675285 -0.68 0.495 -15.00054 7.258843 + 1617 | -3.970163 6.458897 -0.61 0.539 -16.63658 8.696256 + 1619 | .5912082 7.70703 0.08 0.939 -14.5229 15.70532 + 1620 | 7.190898 9.772694 0.74 0.462 -11.97415 26.35594 + 1698 | -2.926878 6.053108 -0.48 0.629 -14.79751 8.943757 + 1699 | 19.58735 7.425116 2.64 0.008 5.0261 34.14861 + 1700 | 19.35334 10.48414 1.85 0.065 -1.206917 39.91359 + 1701 | 7.904971 6.236565 1.27 0.205 -4.325437 20.13538 + 1704 | 7.589678 6.58994 1.15 0.250 -5.333729 20.51308 + 1705 | -11.48296 6.205276 -1.85 0.064 -23.65201 .6860914 + 1706 | 1.055791 5.830227 0.18 0.856 -10.37776 12.48934 + 1707 | 10.5336 6.375048 1.65 0.099 -1.968381 23.03559 + 1708 | 5.556609 6.028216 0.92 0.357 -6.265211 17.37843 + 1709 | 15.80973 6.276952 2.52 0.012 3.500118 28.11934 + 1798 | 5.182103 7.70995 0.67 0.502 -9.937734 20.30194 + 1799 | 6.780806 8.752683 0.77 0.439 -10.38391 23.94553 + 1800 | -1.493186 5.969115 -0.25 0.802 -13.1991 10.21273 + 1802 | 3.932475 6.050574 0.65 0.516 -7.93319 15.79814 + 1803 | 9.974989 7.876066 1.27 0.205 -5.470614 25.42059 + 1804 | 5.994411 7.998012 0.75 0.454 -9.690338 21.67916 + 1806 | 8.404141 8.003167 1.05 0.294 -7.290717 24.099 + 1807 | -6.514992 5.274256 -1.24 0.217 -16.85824 3.828252 + 1808 | 48.73391 39.84972 1.22 0.221 -29.41462 126.8824 + 1899 | 19.20819 17.53478 1.10 0.273 -15.17893 53.5953 + 1900 | 5.594416 8.614969 0.65 0.516 -11.30024 22.48907 + 1901 | 15.43068 6.42883 2.40 0.016 2.82322 28.03813 + 1902 | 7.270779 7.275544 1.00 0.318 -6.997152 21.53871 + 1905 | 40.65472 13.76667 2.95 0.003 13.65717 67.65228 + 1906 | 2.236333 5.96121 0.38 0.708 -9.454083 13.92675 + 1907 | -2.965945 8.373585 -0.35 0.723 -19.38722 13.45533 + 1908 | 2.900745 7.058229 0.41 0.681 -10.94101 16.7425 + 1909 | 7.710235 13.06309 0.59 0.555 -17.90753 33.328 + 1910 | 15.67229 8.622379 1.82 0.069 -1.236898 32.58147 + 1911 | 10.39971 7.854771 1.32 0.186 -5.004133 25.80355 + 1914 | 14.94947 8.524701 1.75 0.080 -1.768163 31.6671 + 1919 | -2.052372 7.152629 -0.29 0.774 -16.07926 11.97451 + 1920 | 12.53699 6.164074 2.03 0.042 .4487466 24.62524 + 1925 | 9.631152 6.78553 1.42 0.156 -3.675823 22.93813 + 1926 | 21.36238 7.746532 2.76 0.006 6.170806 36.55396 + 1927 | 13.42115 8.062706 1.66 0.096 -2.390471 29.23277 + 1929 | 10.88511 7.838849 1.39 0.165 -4.487508 26.25773 + 1999 | -2.161242 5.756157 -0.38 0.707 -13.44953 9.127047 + 2000 | -3.005115 6.408184 -0.47 0.639 -15.57208 9.561853 + 2001 | 4.066716 5.679188 0.72 0.474 -7.070631 15.20406 + 2002 | 6.731806 5.778581 1.16 0.244 -4.600459 18.06407 + 2003 | 30.24864 10.12815 2.99 0.003 10.38653 50.11076 + 2004 | 5.701065 6.082554 0.94 0.349 -6.227316 17.62945 + 2005 | -.4931018 5.934117 -0.08 0.934 -12.13038 11.14418 + 2006 | 98.6274 17.17227 5.74 0.000 64.95118 132.3036 + 2007 | -1.360636 6.913616 -0.20 0.844 -14.9188 12.19752 + 2008 | 10.70985 5.487381 1.95 0.051 -.051346 21.47105 + 2009 | 7.077701 7.828037 0.90 0.366 -8.273713 22.42912 + 2011 | 2.234648 5.891655 0.38 0.705 -9.319365 13.78866 + 2012 | -1.093502 6.704491 -0.16 0.870 -14.24155 12.05455 + 2013 | 8.615543 6.364722 1.35 0.176 -3.866193 21.09728 + 2014 | 11.59972 9.651502 1.20 0.230 -7.327654 30.5271 + 2015 | 6.910591 6.788055 1.02 0.309 -6.401335 20.22252 + 2030 | 11.385 9.066655 1.26 0.209 -6.395444 29.16545 + 2099 | 28.49683 16.51991 1.72 0.085 -3.900048 60.8937 + 2100 | .7061403 5.767531 0.12 0.903 -10.60446 12.01674 + 2101 | 10.48775 8.058888 1.30 0.193 -5.316381 26.29188 + 2102 | 3.918586 5.767242 0.68 0.497 -7.391443 15.22861 + 2103 | 2.830555 5.809767 0.49 0.626 -8.562869 14.22398 + 2104 | -.4032947 5.673198 -0.07 0.943 -11.52889 10.72231 + 2105 | 22.86494 22.48717 1.02 0.309 -21.23422 66.9641 + 2199 | 8.855096 6.348377 1.39 0.163 -3.594585 21.30478 + 9999 | 36.32902 13.86989 2.62 0.009 9.129039 63.529 + | + house_administration | 11.68839 7.41254 1.58 0.115 -2.848196 26.22499 + house_agriculture | 6.218301 1.604045 3.88 0.000 3.072638 9.363964 + house_appropriations | 12.86751 3.920248 3.28 0.001 5.179584 20.55543 + house_armedservices | 2.188234 2.919007 0.75 0.454 -3.536175 7.912642 + house_budget | -4.256253 3.12909 -1.36 0.174 -10.39265 1.880145 + house_dc | -3.228418 5.900167 -0.55 0.584 -14.79912 8.342287 + house_educlabor | 1.310431 1.312434 1.00 0.318 -1.263358 3.88422 + house_energycommerce | 4.678823 1.158909 4.04 0.000 2.406109 6.951536 + house_foreignaffairs | 3.677184 2.407024 1.53 0.127 -1.043184 8.397553 + house_governmentop | 5.222429 3.095341 1.69 0.092 -.8477852 11.29264 + house_intelligence | 30.16945 10.55549 2.86 0.004 9.469288 50.86962 + house_interior | -6.420166 4.543718 -1.41 0.158 -15.33077 2.490434 + house_judiciary | 2.640579 1.256184 2.10 0.036 .1771014 5.104057 + house_mmf | -1.488541 3.061352 -0.49 0.627 -7.492099 4.515017 + house_pocs | -2.408516 3.403204 -0.71 0.479 -9.082473 4.265442 + house_pwt | -1.530016 1.917985 -0.80 0.425 -5.291339 2.231308 + house_rules | 7.024894 2.161503 3.25 0.001 2.786012 11.26378 + house_sst | 4.297326 3.513996 1.22 0.221 -2.593905 11.18856 + house_smallbusi | -2.474223 2.295771 -1.08 0.281 -6.976415 2.027969 + house_soc | -3.634413 3.757418 -0.97 0.334 -11.00301 3.734188 + house_veterans | 5.318882 5.137952 1.04 0.301 -4.757057 15.39482 + house_waysandmeans | 1.458733 1.113388 1.31 0.190 -.7247117 3.642177 +house_naturalresources | -4.210818 2.981991 -1.41 0.158 -10.05874 1.637108 + house_bfs | 2.273864 1.576428 1.44 0.149 -.8176391 5.365368 + house_eeo | -3.291977 2.275416 -1.45 0.148 -7.754251 1.170298 + house_govreform | .1332008 1.82208 0.07 0.942 -3.440046 3.706448 + house_ir | -1.173959 2.144484 -0.55 0.584 -5.379467 3.031549 + house_natsecur | 6.362221 3.842899 1.66 0.098 -1.174015 13.89846 + house_oversight | 3.90385 2.460917 1.59 0.113 -.9222069 8.729908 + house_resources | -4.555548 2.98947 -1.52 0.128 -10.41814 1.307045 + house_science | -.8232349 1.970655 -0.42 0.676 -4.687849 3.041379 + house_transp | 1.475619 2.495229 0.59 0.554 -3.417727 6.368964 + house_homeland | -2.246696 2.057344 -1.09 0.275 -6.281313 1.787922 + _cons | 8.919199 5.73261 1.56 0.120 -2.322914 20.16131 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,126 1 0 1 1 + + +j = 5 k = 2 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6187 +----------------------+---------------------- NN matches = 3 + Number of obs | 2193 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 29.70309 50.99673 .5824509 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(7,341 missing values generated) +(54,749 missing values generated) +(47,408 real changes made) +reg numb_cosponsors sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==100 & tag_bill==1 & tenured==0, robust cluster(group_sponsor) +(sum of wgt is 20,338.2810490131) + +Linear regression Number of obs = 10,518 + F(256, 1032) = . + Prob > F = . + R-squared = 0.1395 + Root MSE = 31.086 + + (Std. Err. adjusted for 1,033 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 2.803678 1.371104 2.04 0.041 .1132083 5.494148 + | + v2 | + 102 | -4.384837 3.915779 -1.12 0.263 -12.06863 3.298961 + 103 | -8.687361 3.634864 -2.39 0.017 -15.81993 -1.554792 + 104 | -5.899582 3.464002 -1.70 0.089 -12.69687 .8977091 + 105 | -6.084276 3.705843 -1.64 0.101 -13.35612 1.187571 + 106 | -5.814621 3.807136 -1.53 0.127 -13.28523 1.655991 + 107 | -8.829129 4.172319 -2.12 0.035 -17.01632 -.6419326 + 108 | -5.844196 3.893272 -1.50 0.134 -13.48383 1.795438 + 109 | -5.845336 3.949353 -1.48 0.139 -13.59501 1.904342 + 110 | -6.725976 3.677174 -1.83 0.068 -13.94157 .489614 + 111 | -8.14608 3.802809 -2.14 0.032 -15.6082 -.68396 + | + minor | + 101 | -4.846328 5.042218 -0.96 0.337 -14.7405 5.047842 + 103 | -9.485041 4.771712 -1.99 0.047 -18.84841 -.1216748 + 104 | -.6606687 4.76131 -0.14 0.890 -10.00362 8.682284 + 105 | 4.143226 5.126664 0.81 0.419 -5.916649 14.2031 + 107 | .2081929 4.062356 0.05 0.959 -7.763228 8.179614 + 108 | 9.864844 5.938089 1.66 0.097 -1.787263 21.51695 + 110 | -3.974839 4.592117 -0.87 0.387 -12.98579 5.036113 + 200 | 7.81913 6.864626 1.14 0.255 -5.651088 21.28935 + 201 | .1435751 5.596395 0.03 0.980 -10.83804 11.12519 + 202 | 20.18848 12.92422 1.56 0.119 -5.17227 45.54923 + 204 | -2.691983 4.134126 -0.65 0.515 -10.80423 5.420269 + 205 | 12.25979 21.36226 0.57 0.566 -29.65864 54.17822 + 206 | -4.003137 9.853414 -0.41 0.685 -23.33815 15.33188 + 207 | 25.5141 11.78129 2.17 0.031 2.396077 48.63211 + 208 | 1.155764 4.680122 0.25 0.805 -8.027878 10.33941 + 299 | 31.09278 27.52357 1.13 0.259 -22.91578 85.10134 + 300 | -3.76646 5.626375 -0.67 0.503 -14.8069 7.27398 + 301 | 7.096002 5.437238 1.31 0.192 -3.573303 17.76531 + 302 | 2.597837 5.023526 0.52 0.605 -7.259655 12.45533 + 321 | 3.239568 6.004691 0.54 0.590 -8.543229 15.02237 + 322 | -.9602311 5.281807 -0.18 0.856 -11.32454 9.404076 + 323 | 8.625066 7.106199 1.21 0.225 -5.319183 22.56931 + 324 | 1.333636 5.769943 0.23 0.817 -9.988522 12.65579 + 325 | 9.643677 7.082213 1.36 0.174 -4.253504 23.54086 + 331 | 18.1072 9.209179 1.97 0.050 .0363491 36.17806 + 332 | 2.064834 5.551814 0.37 0.710 -8.829298 12.95897 + 333 | 14.66094 6.550469 2.24 0.025 1.807184 27.5147 + 334 | 23.754 9.987818 2.38 0.018 4.155247 43.35274 + 335 | 7.344719 6.301977 1.17 0.244 -5.021432 19.71087 + 336 | 10.76379 8.504523 1.27 0.206 -5.924339 27.45192 + 341 | 4.40833 4.821621 0.91 0.361 -5.052969 13.86963 + 342 | 3.069071 6.191998 0.50 0.620 -9.081272 15.21941 + 343 | -.2700965 6.407732 -0.04 0.966 -12.84377 12.30357 + 344 | -7.139642 7.270386 -0.98 0.326 -21.40607 7.126784 + 398 | 6.618069 7.321916 0.90 0.366 -7.749474 20.98561 + 399 | 2.830292 6.207018 0.46 0.648 -9.349524 15.01011 + 400 | 4.498595 5.413099 0.83 0.406 -6.123342 15.12053 + 401 | -4.83979 5.585167 -0.87 0.386 -15.79937 6.119789 + 402 | -1.573572 5.286283 -0.30 0.766 -11.94666 8.799518 + 403 | 5.34913 5.957103 0.90 0.369 -6.340287 17.03855 + 404 | 5.175482 5.947674 0.87 0.384 -6.495433 16.8464 + 405 | 1.830186 6.076362 0.30 0.763 -10.09325 13.75362 + 498 | -4.586366 4.616912 -0.99 0.321 -13.64597 4.473241 + 499 | 4.846811 4.569375 1.06 0.289 -4.119515 13.81314 + 500 | 27.27369 14.93512 1.83 0.068 -2.032984 56.58036 + 501 | -3.501545 4.041183 -0.87 0.386 -11.43142 4.428328 + 502 | 4.284773 4.749585 0.90 0.367 -5.035173 13.60472 + 503 | 5.619238 7.025968 0.80 0.424 -8.167576 19.40605 + 504 | 7.848188 7.426122 1.06 0.291 -6.723833 22.42021 + 505 | 11.59649 6.487238 1.79 0.074 -1.133191 24.32617 + 506 | 11.76279 7.318902 1.61 0.108 -2.598837 26.12442 + 508 | 10.78675 8.83325 1.22 0.222 -6.54643 28.11993 + 529 | 5.761849 5.67461 1.02 0.310 -5.373241 16.89694 + 530 | 7.839186 4.428377 1.77 0.077 -.8504643 16.52884 + 599 | 7.511451 8.89159 0.84 0.398 -9.936209 24.95911 + 600 | 8.34343 6.027623 1.38 0.167 -3.484365 20.17122 + 601 | 5.922526 4.795761 1.23 0.217 -3.48803 15.33308 + 602 | 12.99373 4.434249 2.93 0.003 4.292559 21.6949 + 603 | 18.30836 7.963062 2.30 0.022 2.682719 33.934 + 604 | -3.089503 6.300587 -0.49 0.624 -15.45293 9.27392 + 606 | 9.124306 8.110749 1.12 0.261 -6.791136 25.03975 + 607 | 8.358025 4.754429 1.76 0.079 -.9714265 17.68748 + 609 | 2.277012 6.502986 0.35 0.726 -10.48357 15.0376 + 698 | -4.383249 5.142315 -0.85 0.394 -14.47384 5.707338 + 699 | 10.99899 6.828882 1.61 0.108 -2.401091 24.39907 + 700 | -2.853893 5.784637 -0.49 0.622 -14.20489 8.4971 + 701 | 5.418501 5.04987 1.07 0.284 -4.490684 15.32769 + 703 | -6.72685 4.206317 -1.60 0.110 -14.98076 1.52706 + 704 | -7.065216 4.375418 -1.61 0.107 -15.65095 1.520515 + 705 | 1.144326 6.4747 0.18 0.860 -11.56075 13.84941 + 707 | 34.84276 27.86739 1.25 0.211 -19.84046 89.52598 + 708 | 11.3853 6.828812 1.67 0.096 -2.014643 24.78524 + 709 | 3.791862 5.326056 0.71 0.477 -6.659273 14.243 + 710 | 7.000901 5.970558 1.17 0.241 -4.714917 18.71672 + 711 | 12.34969 8.344545 1.48 0.139 -4.024523 28.7239 + 798 | -4.469436 4.429774 -1.01 0.313 -13.16183 4.222955 + 799 | 4.797196 7.596956 0.63 0.528 -10.11005 19.70444 + 800 | 1.865593 4.628477 0.40 0.687 -7.216707 10.94789 + 801 | 6.121917 7.712406 0.79 0.428 -9.01187 21.2557 + 802 | -5.807569 4.510724 -1.29 0.198 -14.65881 3.043668 + 803 | 1.180695 4.044674 0.29 0.770 -6.756029 9.117419 + 805 | -3.480367 5.039951 -0.69 0.490 -13.37009 6.409354 + 806 | 1.924836 4.520469 0.43 0.670 -6.945524 10.7952 + 807 | 6.51658 4.886299 1.33 0.183 -3.071636 16.1048 + 898 | 23.12574 11.80165 1.96 0.050 -.0322287 46.2837 + 899 | -1.770895 8.536068 -0.21 0.836 -18.52092 14.97914 + 1000 | 4.853305 7.819904 0.62 0.535 -10.49142 20.19803 + 1001 | -2.92925 4.063321 -0.72 0.471 -10.90256 5.044064 + 1002 | -2.486812 4.831127 -0.51 0.607 -11.96677 6.993142 + 1003 | 3.353172 4.665983 0.72 0.473 -5.802723 12.50907 + 1005 | 14.01012 13.16885 1.06 0.288 -11.83067 39.8509 + 1006 | 5.46884 6.345479 0.86 0.389 -6.982674 17.92035 + 1007 | 1.817464 4.986889 0.36 0.716 -7.968136 11.60306 + 1010 | -6.795411 5.47515 -1.24 0.215 -17.53911 3.948285 + 1098 | -4.821948 5.783313 -0.83 0.405 -16.17034 6.526446 + 1099 | -3.723327 4.999561 -0.74 0.457 -13.53379 6.087139 + 1200 | 16.13874 13.70291 1.18 0.239 -10.75002 43.02749 + 1201 | 6.992027 7.004117 1.00 0.318 -6.751909 20.73596 + 1202 | .0153412 5.648031 0.00 0.998 -11.06759 11.09828 + 1203 | 4.133556 8.559378 0.48 0.629 -12.66221 20.92933 + 1204 | 7.732085 5.477213 1.41 0.158 -3.01566 18.47983 + 1205 | 9.2275 6.714147 1.37 0.170 -3.947438 22.40244 + 1206 | 4.281256 5.009382 0.85 0.393 -5.54848 14.11099 + 1207 | 3.505747 5.309749 0.66 0.509 -6.913389 13.92488 + 1208 | 4.600677 5.399542 0.85 0.394 -5.994657 15.19601 + 1209 | 11.31214 4.850505 2.33 0.020 1.794162 20.83012 + 1210 | 14.06857 6.350914 2.22 0.027 1.606392 26.53075 + 1211 | 3.754981 5.392933 0.70 0.486 -6.827383 14.33735 + 1299 | 11.12262 7.141194 1.56 0.120 -2.8903 25.13554 + 1300 | 5.289291 4.882547 1.08 0.279 -4.291562 14.87014 + 1301 | 14.58158 7.348328 1.98 0.047 .1622146 29.00095 + 1302 | -3.246685 4.466742 -0.73 0.467 -12.01162 5.518249 + 1303 | 2.265932 5.024498 0.45 0.652 -7.593467 12.12533 + 1304 | 25.12285 16.68318 1.51 0.132 -7.613978 57.85968 + 1305 | 14.07146 10.39139 1.35 0.176 -6.31921 34.46213 + 1399 | -.8994399 5.023959 -0.18 0.858 -10.75778 8.958902 + 1400 | 6.865958 6.092594 1.13 0.260 -5.089327 18.82124 + 1401 | 17.17554 6.928747 2.48 0.013 3.579496 30.77158 + 1403 | 5.703382 4.738689 1.20 0.229 -3.595184 15.00195 + 1404 | -7.056893 4.766731 -1.48 0.139 -16.41048 2.296699 + 1405 | .4860688 5.348004 0.09 0.928 -10.00813 10.98027 + 1406 | 1.35119 4.845081 0.28 0.780 -8.156144 10.85852 + 1407 | -.9850186 7.387912 -0.13 0.894 -15.48206 13.51202 + 1408 | 14.1615 8.498419 1.67 0.096 -2.51465 30.83766 + 1409 | 7.167013 6.908008 1.04 0.300 -6.388332 20.72236 + 1410 | 2.047772 4.915905 0.42 0.677 -7.598537 11.69408 + 1499 | 6.707014 7.847107 0.85 0.393 -8.691091 22.10512 + 1500 | -.3908452 5.215686 -0.07 0.940 -10.62541 9.843715 + 1501 | 2.867125 5.305866 0.54 0.589 -7.544392 13.27864 + 1502 | 6.41073 7.950405 0.81 0.420 -9.190075 22.01153 + 1504 | 7.895718 5.20674 1.52 0.130 -2.321289 18.11272 + 1505 | 5.987264 6.08716 0.98 0.326 -5.957359 17.93189 + 1507 | -3.704018 4.112117 -0.90 0.368 -11.77308 4.365047 + 1520 | -1.201624 6.003705 -0.20 0.841 -12.98249 10.57924 + 1521 | 3.225153 4.109191 0.78 0.433 -4.838171 11.28848 + 1522 | -1.140661 5.071033 -0.22 0.822 -11.09137 8.81005 + 1523 | 2.559695 4.495013 0.57 0.569 -6.260713 11.3801 + 1524 | -10.63887 4.084939 -2.60 0.009 -18.6546 -2.623133 + 1525 | 3.415237 4.706071 0.73 0.468 -5.819324 12.6498 + 1526 | -5.253489 4.113188 -1.28 0.202 -13.32466 2.817677 + 1599 | 6.735949 6.362209 1.06 0.290 -5.748393 19.22029 + 1600 | 5.191961 5.276104 0.98 0.325 -5.161155 15.54508 + 1602 | 22.5495 18.18563 1.24 0.215 -13.13552 58.23452 + 1603 | -1.714706 8.123491 -0.21 0.833 -17.65515 14.22574 + 1604 | 2.886992 7.111283 0.41 0.685 -11.06723 16.84122 + 1605 | 15.44515 12.09697 1.28 0.202 -8.292323 39.18262 + 1606 | 40.46119 15.43393 2.62 0.009 10.17573 70.74666 + 1608 | 21.86976 9.640515 2.27 0.024 2.952515 40.78701 + 1609 | 4.838399 8.235042 0.59 0.557 -11.32094 20.99774 + 1610 | 4.706909 5.238916 0.90 0.369 -5.573235 14.98705 + 1611 | -4.980686 4.298529 -1.16 0.247 -13.41554 3.454169 + 1612 | 3.504257 5.603873 0.63 0.532 -7.492029 14.50054 + 1614 | 4.734523 6.48986 0.73 0.466 -8.000306 17.46935 + 1615 | .5780328 4.890863 0.12 0.906 -9.019137 10.1752 + 1616 | -3.605272 4.807118 -0.75 0.453 -13.03811 5.827568 + 1617 | -5.343995 5.996873 -0.89 0.373 -17.11145 6.423461 + 1619 | 7.644127 8.556033 0.89 0.372 -9.145081 24.43333 + 1620 | 8.228716 9.845072 0.84 0.403 -11.08993 27.54736 + 1698 | .8972453 5.134754 0.17 0.861 -9.178505 10.973 + 1699 | 23.5557 8.756499 2.69 0.007 6.373122 40.73827 + 1700 | 11.14232 8.678154 1.28 0.199 -5.886519 28.17116 + 1701 | 10.42781 5.565972 1.87 0.061 -.4941091 21.34972 + 1704 | -3.472581 4.921901 -0.71 0.481 -13.13066 6.185495 + 1705 | -14.16765 6.108328 -2.32 0.021 -26.15381 -2.18149 + 1706 | -5.123587 4.772604 -1.07 0.283 -14.4887 4.241529 + 1707 | 2.400558 5.817329 0.41 0.680 -9.014584 13.8157 + 1708 | 7.830689 6.432012 1.22 0.224 -4.790625 20.452 + 1709 | 4.432672 5.398394 0.82 0.412 -6.160409 15.02575 + 1798 | 8.627286 8.955196 0.96 0.336 -8.945185 26.19976 + 1799 | 8.474861 10.02522 0.85 0.398 -11.19729 28.14701 + 1800 | 1.858941 7.047928 0.26 0.792 -11.97096 15.68885 + 1802 | 6.334439 6.377993 0.99 0.321 -6.180876 18.84975 + 1803 | -7.633619 5.19164 -1.47 0.142 -17.82099 2.553757 + 1804 | .2391804 7.472157 0.03 0.974 -14.42318 14.90154 + 1806 | 16.44017 11.31098 1.45 0.146 -5.754973 38.63531 + 1807 | -6.670169 4.090843 -1.63 0.103 -14.69749 1.357151 + 1808 | 102.3306 5.777686 17.71 0.000 90.99322 113.6679 + 1899 | 12.88338 28.55101 0.45 0.652 -43.14128 68.90803 + 1900 | -1.55447 7.680996 -0.20 0.840 -16.62662 13.51768 + 1901 | 11.63629 5.971532 1.95 0.052 -.08144 23.35402 + 1902 | 4.228932 7.196361 0.59 0.557 -9.892238 18.3501 + 1905 | 35.59196 13.66922 2.60 0.009 8.769333 62.41459 + 1906 | -4.434917 4.960626 -0.89 0.372 -14.16898 5.299148 + 1907 | 46.58235 32.41689 1.44 0.151 -17.0282 110.1929 + 1908 | -1.658103 8.231913 -0.20 0.840 -17.8113 14.4951 + 1909 | 3.530131 12.67145 0.28 0.781 -21.33462 28.39488 + 1910 | -4.82054 4.844099 -1.00 0.320 -14.32595 4.684869 + 1911 | 8.087245 8.196489 0.99 0.324 -7.996441 24.17093 + 1914 | 10.66621 9.23703 1.15 0.248 -7.459289 28.79172 + 1919 | -6.007237 4.221375 -1.42 0.155 -14.2907 2.276221 + 1920 | 7.854813 5.27629 1.49 0.137 -2.498668 18.20829 + 1925 | 1.917656 5.399015 0.36 0.723 -8.676644 12.51196 + 1926 | 27.8166 13.90575 2.00 0.046 .5298282 55.10338 + 1927 | 2.265444 7.530248 0.30 0.764 -12.5109 17.04179 + 1929 | -1.804629 9.449706 -0.19 0.849 -20.34746 16.7382 + 1999 | -5.132865 5.088668 -1.01 0.313 -15.11818 4.852451 + 2000 | 1.196848 8.967911 0.13 0.894 -16.40057 18.79427 + 2001 | 7.729333 8.554456 0.90 0.366 -9.056779 24.51545 + 2002 | 3.908932 6.088303 0.64 0.521 -8.037934 15.8558 + 2003 | 30.28903 10.52894 2.88 0.004 9.628455 50.94961 + 2004 | 4.981752 6.46449 0.77 0.441 -7.703292 17.6668 + 2005 | 1.206045 7.846246 0.15 0.878 -14.19037 16.60246 + 2006 | 96.47708 20.72738 4.65 0.000 55.80446 137.1497 + 2007 | -7.430674 5.256591 -1.41 0.158 -17.7455 2.884154 + 2008 | 8.59894 4.282917 2.01 0.045 .1947193 17.00316 + 2009 | -2.920328 4.805457 -0.61 0.544 -12.34991 6.509255 + 2011 | -2.83989 6.492617 -0.44 0.662 -15.58013 9.900347 + 2012 | -2.701798 8.687099 -0.31 0.756 -19.74819 14.3446 + 2013 | 20.90168 5.98869 3.49 0.001 9.150286 32.65308 + 2014 | 14.72451 16.80192 0.88 0.381 -18.24532 47.69434 + 2015 | 6.073367 6.027299 1.01 0.314 -5.753793 17.90053 + 2030 | 11.01252 10.45983 1.05 0.293 -9.512451 31.53749 + 2099 | 25.77646 15.74306 1.64 0.102 -5.115592 56.66852 + 2100 | 4.556248 6.242777 0.73 0.466 -7.693738 16.80623 + 2101 | 17.02308 11.93092 1.43 0.154 -6.388549 40.4347 + 2102 | 4.540945 5.171957 0.88 0.380 -5.607808 14.6897 + 2103 | 5.248992 5.57149 0.94 0.346 -5.683751 16.18173 + 2104 | -.1180672 5.178685 -0.02 0.982 -10.28002 10.04389 + 9999 | 51.6666 18.21949 2.84 0.005 15.91512 87.41808 + | + house_administration | 19.4585 11.68679 1.67 0.096 -3.474073 42.39107 + house_agriculture | 7.533788 2.27422 3.31 0.001 3.071165 11.99641 + house_appropriations | 4.568232 5.100222 0.90 0.371 -5.439756 14.57622 + house_armedservices | -.453624 3.370387 -0.13 0.893 -7.067217 6.159969 + house_budget | -6.338752 4.789365 -1.32 0.186 -15.73676 3.059254 + house_dc | -11.53411 4.561197 -2.53 0.012 -20.48439 -2.583836 + house_educlabor | 2.982185 1.627559 1.83 0.067 -.211518 6.175889 + house_energycommerce | 5.408716 1.785688 3.03 0.003 1.904722 8.912709 + house_foreignaffairs | 8.923287 3.154075 2.83 0.005 2.734154 15.11242 + house_governmentop | 6.653614 4.925188 1.35 0.177 -3.010912 16.31814 + house_intelligence | 20.73545 8.719077 2.38 0.018 3.62631 37.8446 + house_interior | -8.43729 7.414176 -1.14 0.255 -22.98587 6.111291 + house_judiciary | 1.950187 1.524465 1.28 0.201 -1.041218 4.941593 + house_mmf | -1.355689 4.323776 -0.31 0.754 -9.840086 7.128707 + house_pocs | -5.651137 4.109067 -1.38 0.169 -13.71422 2.411943 + house_pwt | -1.863804 2.891002 -0.64 0.519 -7.536717 3.809108 + house_rules | 7.713679 3.21567 2.40 0.017 1.403682 14.02368 + house_sst | .3354003 4.144613 0.08 0.936 -7.797431 8.468231 + house_smallbusi | -1.110213 2.436946 -0.46 0.649 -5.892148 3.671722 + house_soc | -7.608018 10.97075 -0.69 0.488 -29.13553 13.9195 + house_veterans | 10.36341 7.828464 1.32 0.186 -4.998117 25.72493 + house_waysandmeans | .460623 1.599977 0.29 0.773 -2.678956 3.600202 +house_naturalresources | -6.746577 5.522926 -1.22 0.222 -17.58402 4.09087 + house_bfs | 1.87799 1.918693 0.98 0.328 -1.886994 5.642974 + house_eeo | -7.798914 2.528238 -3.08 0.002 -12.75999 -2.83784 + house_govreform | 3.562656 3.627576 0.98 0.326 -3.555612 10.68092 + house_ir | 2.374862 2.829904 0.84 0.402 -3.17816 7.927885 + house_natsecur | 5.504036 6.230898 0.88 0.377 -6.722639 17.73071 + house_oversight | 2.513456 3.903521 0.64 0.520 -5.146288 10.1732 + house_resources | -4.872577 4.934122 -0.99 0.324 -14.55463 4.80948 + house_science | -.289821 2.817987 -0.10 0.918 -5.819459 5.239817 + house_transp | 3.723086 4.861994 0.77 0.444 -5.817435 13.26361 + house_homeland | 3.401698 3.928911 0.87 0.387 -4.307868 11.11126 + _cons | 12.58713 4.881796 2.58 0.010 3.007752 22.16651 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,033 1 0 1 1 + + +j = 5 k = 3 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 13.03771 22.75762 .5728944 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(13,828 missing values generated) +(55,922 missing values generated) +(42,094 real changes made) +reg numb_cosponsors sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==200 & tag_bill==1 & tenured==0, robust cluster(group_sponsor) +(sum of wgt is 17,152.1753838062) + +Linear regression Number of obs = 10,281 + F(257, 1013) = . + Prob > F = . + R-squared = 0.1698 + Root MSE = 30.038 + + (Std. Err. adjusted for 1,014 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 1.087661 1.190029 0.91 0.361 -1.247544 3.422865 + | + v2 | + 102 | .6798781 2.195406 0.31 0.757 -3.628186 4.987942 + 103 | .0109712 2.122841 0.01 0.996 -4.154698 4.176641 + 104 | -2.662998 2.357183 -1.13 0.259 -7.288518 1.962523 + 105 | -.4034743 2.270451 -0.18 0.859 -4.858799 4.05185 + 106 | 3.01079 2.458149 1.22 0.221 -1.812857 7.834437 + 107 | 1.257309 2.152785 0.58 0.559 -2.96712 5.481738 + 108 | 2.029799 2.478197 0.82 0.413 -2.833187 6.892785 + 109 | -1.447257 2.142627 -0.68 0.500 -5.651752 2.757238 + 110 | -2.982057 2.41639 -1.23 0.217 -7.72376 1.759646 + 111 | -4.239078 2.227114 -1.90 0.057 -8.609362 .1312061 + | + minor | + 101 | -4.136492 8.656524 -0.48 0.633 -21.12326 12.85028 + 103 | 3.882445 8.12846 0.48 0.633 -12.0681 19.83299 + 104 | 1.162014 9.436855 0.12 0.902 -17.35601 19.68004 + 105 | 13.97855 9.703623 1.44 0.150 -5.062952 33.02005 + 107 | 13.40139 8.486965 1.58 0.115 -3.252651 30.05544 + 108 | -4.483889 8.195811 -0.55 0.584 -20.5666 11.59882 + 110 | 25.76648 24.22513 1.06 0.288 -21.77071 73.30367 + 200 | 13.94315 10.8683 1.28 0.200 -7.383812 35.27011 + 202 | 12.39375 11.7787 1.05 0.293 -10.7197 35.50719 + 204 | -1.828943 9.05166 -0.20 0.840 -19.59109 15.93321 + 205 | 65.00089 38.26441 1.70 0.090 -10.08568 140.0875 + 206 | 16.23489 11.00654 1.48 0.141 -5.363342 37.83312 + 207 | 22.60532 11.6292 1.94 0.052 -.2147602 45.42539 + 208 | 6.448962 9.177642 0.70 0.482 -11.5604 24.45833 + 209 | -10.59571 8.18849 -1.29 0.196 -26.66405 5.472635 + 299 | 45.2551 27.67255 1.64 0.102 -9.046985 99.55719 + 300 | 9.896047 9.812855 1.01 0.313 -9.359804 29.1519 + 301 | 7.520278 8.839302 0.85 0.395 -9.82516 24.86572 + 302 | 8.443452 8.383074 1.01 0.314 -8.006726 24.89363 + 321 | 16.46604 11.59501 1.42 0.156 -6.286946 39.21902 + 322 | 2.742656 8.990255 0.31 0.760 -14.899 20.38431 + 323 | 8.668167 10.84177 0.80 0.424 -12.60672 29.94306 + 324 | 9.41746 10.32278 0.91 0.362 -10.83902 29.67394 + 325 | 1.833417 8.709704 0.21 0.833 -15.25771 18.92454 + 331 | 22.60911 10.59846 2.13 0.033 1.811663 43.40655 + 332 | 7.061477 9.343372 0.76 0.450 -11.2731 25.39606 + 333 | -2.45052 8.965766 -0.27 0.785 -20.04412 15.14308 + 334 | 14.30015 9.600605 1.49 0.137 -4.539201 33.1395 + 335 | -5.335482 9.285336 -0.57 0.566 -23.55618 12.88521 + 336 | 6.315286 10.87809 0.58 0.562 -15.03087 27.66145 + 341 | 9.128005 9.953964 0.92 0.359 -10.40474 28.66075 + 342 | 23.16796 12.66629 1.83 0.068 -1.687203 48.02312 + 343 | -1.290277 8.592756 -0.15 0.881 -18.15192 15.57136 + 344 | 51.70457 21.3125 2.43 0.015 9.882868 93.52627 + 398 | 16.05779 9.102945 1.76 0.078 -1.804998 33.92058 + 399 | 23.2416 22.47964 1.03 0.301 -20.87038 67.35359 + 400 | 8.454947 11.30011 0.75 0.455 -13.71935 30.62925 + 401 | 4.251664 10.50442 0.40 0.686 -16.36125 24.86458 + 402 | 3.494024 8.775387 0.40 0.691 -13.72599 20.71404 + 403 | 26.77077 13.83144 1.94 0.053 -.3707805 53.91233 + 404 | 5.743927 11.64831 0.49 0.622 -17.11365 28.60151 + 405 | 9.718525 10.43554 0.93 0.352 -10.75922 30.19627 + 498 | 23.90953 17.35128 1.38 0.169 -10.13904 57.9581 + 499 | 23.52777 18.23611 1.29 0.197 -12.25711 59.31265 + 500 | 11.8808 14.51028 0.82 0.413 -16.59284 40.35444 + 501 | 7.893673 9.859088 0.80 0.424 -11.4529 27.24025 + 502 | 7.437924 8.867491 0.84 0.402 -9.962829 24.83868 + 503 | 5.737576 8.560079 0.67 0.503 -11.05994 22.53509 + 504 | 27.88322 10.61665 2.63 0.009 7.050079 48.71637 + 505 | 2.57347 7.957653 0.32 0.746 -13.0419 18.18884 + 506 | 26.23131 17.88384 1.47 0.143 -8.862289 61.32492 + 508 | 23.63784 11.44835 2.06 0.039 1.17265 46.10303 + 529 | 15.85011 15.8192 1.00 0.317 -15.19204 46.89225 + 530 | 8.541738 8.304505 1.03 0.304 -7.754264 24.83774 + 599 | 21.59503 8.14427 2.65 0.008 5.613463 37.5766 + 600 | 22.72862 11.26359 2.02 0.044 .6259893 44.83125 + 601 | 9.896616 8.536418 1.16 0.247 -6.85447 26.6477 + 602 | 9.863085 8.590412 1.15 0.251 -6.993955 26.72012 + 603 | 9.487577 8.741798 1.09 0.278 -7.666529 26.64168 + 604 | -.9735956 8.204841 -0.12 0.906 -17.07403 15.12683 + 606 | 7.856674 9.217914 0.85 0.394 -10.23172 25.94507 + 607 | 15.24888 13.17678 1.16 0.247 -10.60803 41.1058 + 609 | 4.011276 10.59504 0.38 0.705 -16.77946 24.80201 + 698 | -.523487 11.99734 -0.04 0.965 -24.06597 23.01899 + 699 | 1.306953 9.526182 0.14 0.891 -17.38636 20.00026 + 700 | -2.602232 8.418105 -0.31 0.757 -19.12115 13.91669 + 701 | 7.006207 11.68765 0.60 0.549 -15.92857 29.94098 + 703 | -1.244702 8.558869 -0.15 0.884 -18.03984 15.55044 + 704 | -3.052751 8.177665 -0.37 0.709 -19.09985 12.99435 + 705 | 12.03719 9.463789 1.27 0.204 -6.533685 30.60806 + 707 | 26.79626 14.21351 1.89 0.060 -1.095033 54.68755 + 708 | 3.740116 10.13457 0.37 0.712 -16.14704 23.62727 + 709 | 10.5643 8.768832 1.20 0.229 -6.642858 27.77145 + 710 | 2.938078 8.522293 0.34 0.730 -13.78529 19.66145 + 711 | -1.525745 8.250075 -0.18 0.853 -17.71494 14.66345 + 798 | -5.791123 10.00841 -0.58 0.563 -25.43072 13.84848 + 799 | 10.05855 9.901299 1.02 0.310 -9.370859 29.48795 + 800 | -1.690598 8.815851 -0.19 0.848 -18.99002 15.60882 + 801 | -9.384556 8.308932 -1.13 0.259 -25.68924 6.920131 + 802 | -5.454133 8.341902 -0.65 0.513 -21.82352 10.91525 + 803 | 4.181183 8.320258 0.50 0.615 -12.14573 20.5081 + 805 | -7.153973 8.352895 -0.86 0.392 -23.54493 9.236984 + 806 | 2.022402 9.00471 0.22 0.822 -15.64762 19.69242 + 807 | -.4185845 8.51471 -0.05 0.961 -17.12707 16.2899 + 898 | -9.665065 8.737868 -1.11 0.269 -26.81146 7.481328 + 899 | -5.429734 8.500495 -0.64 0.523 -22.11033 11.25086 + 1000 | -1.071712 8.568606 -0.13 0.900 -17.88596 15.74254 + 1001 | -3.275504 8.374657 -0.39 0.696 -19.70917 13.15816 + 1002 | 6.293334 9.459026 0.67 0.506 -12.26819 24.85486 + 1003 | 2.672161 8.372557 0.32 0.750 -13.75738 19.1017 + 1005 | -4.706918 8.432944 -0.56 0.577 -21.25496 11.84112 + 1006 | 7.734622 9.317686 0.83 0.407 -10.54955 26.0188 + 1007 | -2.445852 8.235956 -0.30 0.767 -18.60734 13.71563 + 1010 | -1.517138 9.22131 -0.16 0.869 -19.61219 16.57792 + 1098 | -13.44262 11.50465 -1.17 0.243 -36.0183 9.133065 + 1099 | 10.38597 14.56298 0.71 0.476 -18.19109 38.96303 + 1200 | 3.739864 12.56448 0.30 0.766 -20.91553 28.39526 + 1201 | 3.819944 9.15456 0.42 0.677 -14.14413 21.78401 + 1202 | 3.398187 10.74582 0.32 0.752 -17.68843 24.4848 + 1203 | 2.512263 8.555984 0.29 0.769 -14.27722 19.30174 + 1204 | 1.867337 9.235353 0.20 0.840 -16.25528 19.98995 + 1205 | -1.677218 8.80774 -0.19 0.849 -18.96072 15.60628 + 1206 | -.9286079 8.707489 -0.11 0.915 -18.01539 16.15817 + 1207 | 3.853612 8.823947 0.44 0.662 -13.46169 21.16892 + 1208 | 19.34256 8.947506 2.16 0.031 1.784795 36.90033 + 1209 | 9.589711 8.679191 1.10 0.269 -7.44154 26.62096 + 1210 | 3.532561 8.396719 0.42 0.674 -12.94439 20.00951 + 1211 | 20.97666 14.97079 1.40 0.161 -8.400652 50.35397 + 1299 | -6.68859 8.693454 -0.77 0.442 -23.74783 10.37065 + 1300 | .7359792 9.454134 0.08 0.938 -17.81595 19.28791 + 1301 | 10.06084 14.78547 0.68 0.496 -18.95281 39.07449 + 1302 | 24.34443 13.42112 1.81 0.070 -1.991941 50.6808 + 1303 | 5.686078 8.39592 0.68 0.498 -10.78931 22.16146 + 1304 | 27.10855 13.71269 1.98 0.048 .2000318 54.01708 + 1305 | 20.86392 13.08589 1.59 0.111 -4.814641 46.54248 + 1399 | -9.375885 8.559521 -1.10 0.274 -26.17231 7.420537 + 1400 | 8.059213 10.72363 0.75 0.453 -12.98385 29.10227 + 1401 | 18.61052 12.67073 1.47 0.142 -6.253363 43.4744 + 1403 | -2.50671 8.420632 -0.30 0.766 -19.03059 14.01717 + 1404 | .2596993 13.22984 0.02 0.984 -25.70133 26.22072 + 1405 | -.5150329 8.430951 -0.06 0.951 -17.05916 16.02909 + 1406 | -4.544144 8.368966 -0.54 0.587 -20.96664 11.87835 + 1407 | 1.822022 9.008432 0.20 0.840 -15.8553 19.49934 + 1408 | 50.07088 30.84303 1.62 0.105 -10.45266 110.5944 + 1409 | 13.80251 10.91497 1.26 0.206 -7.616026 35.22104 + 1410 | 39.62345 19.27961 2.06 0.040 1.790904 77.45599 + 1499 | -8.75105 8.065455 -1.09 0.278 -24.57796 7.075862 + 1500 | 4.54502 9.076468 0.50 0.617 -13.26581 22.35585 + 1501 | -1.148606 8.334697 -0.14 0.890 -17.50385 15.20664 + 1502 | .6760107 8.876667 0.08 0.939 -16.74275 18.09477 + 1504 | 6.39218 9.021729 0.71 0.479 -11.31124 24.0956 + 1505 | 16.78575 10.79128 1.56 0.120 -4.39008 37.96158 + 1507 | 8.019827 16.06853 0.50 0.618 -23.51158 39.55124 + 1520 | 89.80681 58.78363 1.53 0.127 -25.54481 205.1584 + 1521 | 3.541773 8.21794 0.43 0.667 -12.58436 19.66791 + 1522 | 2.455006 9.22979 0.27 0.790 -15.65669 20.5667 + 1523 | 1.3615 8.122094 0.17 0.867 -14.57656 17.29956 + 1524 | 19.10327 11.60447 1.65 0.100 -3.668278 41.87482 + 1525 | 4.62827 8.873784 0.52 0.602 -12.78483 22.04137 + 1526 | 8.865555 9.441862 0.94 0.348 -9.662292 27.3934 + 1599 | 62.98242 43.90882 1.43 0.152 -23.18023 149.1451 + 1600 | 10.00728 10.94469 0.91 0.361 -11.46958 31.48414 + 1602 | -2.06917 15.22602 -0.14 0.892 -31.94731 27.80897 + 1603 | -6.395911 14.82808 -0.43 0.666 -35.49318 22.70135 + 1604 | 13.07289 12.34104 1.06 0.290 -11.14403 37.2898 + 1605 | -5.285005 10.45197 -0.51 0.613 -25.795 15.22499 + 1606 | -7.060486 8.655075 -0.82 0.415 -24.04441 9.923443 + 1608 | 14.90497 9.379742 1.59 0.112 -3.500981 33.31092 + 1609 | 7.095764 8.404467 0.84 0.399 -9.396393 23.58792 + 1610 | -5.266514 8.854471 -0.59 0.552 -22.64172 12.10869 + 1611 | -5.704488 8.530826 -0.67 0.504 -22.4446 11.03563 + 1612 | 10.79542 9.65211 1.12 0.264 -8.144995 29.73584 + 1614 | -7.133714 9.522385 -0.75 0.454 -25.81957 11.55214 + 1615 | -1.469555 8.322629 -0.18 0.860 -17.80112 14.86201 + 1616 | -11.87777 8.562149 -1.39 0.166 -28.67934 4.923812 + 1617 | -2.223721 8.839717 -0.25 0.801 -19.56997 15.12253 + 1619 | -8.432508 9.39248 -0.90 0.370 -26.86345 9.998436 + 1620 | -1.276536 8.628894 -0.15 0.882 -18.20909 15.65602 + 1698 | -9.663002 8.389513 -1.15 0.250 -26.12582 6.799812 + 1699 | 12.63319 11.30023 1.12 0.264 -9.541342 34.80771 + 1700 | 25.33244 28.30335 0.90 0.371 -30.20747 80.87235 + 1701 | -.0949659 10.00406 -0.01 0.992 -19.72602 19.53608 + 1704 | 9.805699 10.35794 0.95 0.344 -10.51978 30.13118 + 1705 | -15.52527 11.83596 -1.31 0.190 -38.75107 7.700526 + 1706 | 5.771002 9.045649 0.64 0.524 -11.97935 23.52136 + 1707 | 13.69579 10.21435 1.34 0.180 -6.34792 33.7395 + 1708 | -.3516555 8.807188 -0.04 0.968 -17.63408 16.93077 + 1709 | 21.15757 9.377847 2.26 0.024 2.755338 39.5598 + 1798 | -9.109989 8.57281 -1.06 0.288 -25.93249 7.712509 + 1799 | -3.420548 9.349858 -0.37 0.715 -21.76785 14.92676 + 1800 | -7.621271 8.55933 -0.89 0.373 -24.41732 9.174775 + 1802 | .2385554 8.881787 0.03 0.979 -17.19025 17.66736 + 1803 | 32.51502 17.37973 1.87 0.062 -1.589371 66.6194 + 1804 | 10.4926 11.06838 0.95 0.343 -11.22699 32.21218 + 1806 | -3.818191 8.4526 -0.45 0.652 -20.4048 12.76842 + 1807 | -9.412961 8.060982 -1.17 0.243 -25.2311 6.405173 + 1808 | -7.8838 8.178565 -0.96 0.335 -23.93267 8.165067 + 1899 | 16.11908 21.71587 0.74 0.458 -26.49416 58.73232 + 1900 | 11.77589 11.0349 1.07 0.286 -9.877985 33.42977 + 1901 | 11.47357 9.395533 1.22 0.222 -6.963363 29.91051 + 1902 | 12.45646 9.787183 1.27 0.203 -6.749011 31.66193 + 1905 | -6.104609 8.596351 -0.71 0.478 -22.9733 10.76408 + 1906 | 4.153115 8.76528 0.47 0.636 -13.04707 21.3533 + 1907 | -11.81744 8.962572 -1.32 0.188 -29.40478 5.76989 + 1908 | 1.671221 9.592713 0.17 0.862 -17.15264 20.49508 + 1910 | 28.99158 10.93512 2.65 0.008 7.533489 50.44966 + 1911 | 8.007661 8.912754 0.90 0.369 -9.481913 25.49723 + 1914 | 27.17749 19.25042 1.41 0.158 -10.59778 64.95276 + 1919 | -.0963827 10.3452 -0.01 0.993 -20.39686 20.20409 + 1920 | 16.71553 11.57745 1.44 0.149 -6.003004 39.43405 + 1925 | 15.51969 12.0164 1.29 0.197 -8.060187 39.09957 + 1926 | 17.65593 9.973702 1.77 0.077 -1.915554 37.22741 + 1927 | 18.97803 10.10493 1.88 0.061 -.8509579 38.80701 + 1929 | 15.70019 11.04209 1.42 0.155 -5.967795 37.36817 + 1999 | -2.480998 9.112177 -0.27 0.785 -20.3619 15.3999 + 2000 | -4.894003 8.772894 -0.56 0.577 -22.10913 12.32112 + 2001 | .3832781 7.825678 0.05 0.961 -14.97312 15.73967 + 2002 | 7.289827 8.730682 0.83 0.404 -9.842464 24.42212 + 2003 | 29.91065 21.96127 1.36 0.174 -13.18415 73.00544 + 2004 | 3.780582 8.347954 0.45 0.651 -12.60068 20.16184 + 2005 | -3.438742 8.734403 -0.39 0.694 -20.57834 13.70085 + 2006 | 99.78733 23.32118 4.28 0.000 54.02397 145.5507 + 2007 | 4.998073 11.72252 0.43 0.670 -18.00512 28.00127 + 2008 | 9.998447 8.290259 1.21 0.228 -6.2696 26.26649 + 2009 | 11.55671 11.02271 1.05 0.295 -10.07325 33.18667 + 2011 | 5.338993 8.246129 0.65 0.517 -10.84246 21.52044 + 2012 | -2.117499 8.332189 -0.25 0.799 -18.46782 14.23283 + 2013 | -.1079588 8.731479 -0.01 0.990 -17.24182 17.0259 + 2014 | 6.902273 10.36139 0.67 0.505 -13.42997 27.23452 + 2015 | 1.031138 10.1643 0.10 0.919 -18.91436 20.97664 + 2030 | 8.78551 12.54254 0.70 0.484 -15.82683 33.39785 + 2099 | 51.60803 42.48914 1.21 0.225 -31.76877 134.9848 + 2100 | -4.053044 8.163609 -0.50 0.620 -20.07256 11.96648 + 2101 | 1.188524 8.337166 0.14 0.887 -15.17157 17.54862 + 2102 | -.913021 8.286011 -0.11 0.912 -17.17273 15.34669 + 2103 | -3.046681 8.08137 -0.38 0.706 -18.90482 12.81146 + 2104 | -3.733102 8.095704 -0.46 0.645 -19.61937 12.15317 + 2105 | -.8144669 8.386974 -0.10 0.923 -17.2723 15.64336 + 2199 | 5.511164 8.817677 0.63 0.532 -11.79184 22.81417 + 9999 | 25.1792 23.64314 1.06 0.287 -21.21593 71.57434 + | + house_administration | .0688438 2.276981 0.03 0.976 -4.399295 4.536983 + house_agriculture | 6.664403 2.035557 3.27 0.001 2.670012 10.65879 + house_appropriations | 12.03077 3.851419 3.12 0.002 4.473096 19.58844 + house_armedservices | 5.242078 3.118739 1.68 0.093 -.8778491 11.36201 + house_budget | -.4614151 3.004346 -0.15 0.878 -6.35687 5.434039 + house_dc | 8.394777 4.480266 1.87 0.061 -.3968872 17.18644 + house_educlabor | -1.173508 2.055367 -0.57 0.568 -5.206773 2.859757 + house_energycommerce | 4.526334 1.338623 3.38 0.001 1.899542 7.153125 + house_foreignaffairs | -2.746253 3.474736 -0.79 0.430 -9.564758 4.072252 + house_governmentop | 4.098873 3.458243 1.19 0.236 -2.687266 10.88501 + house_intelligence | 56.41044 20.79598 2.71 0.007 15.60231 97.21857 + house_interior | -4.611025 1.905988 -2.42 0.016 -8.351162 -.8708874 + house_judiciary | 4.721801 1.896749 2.49 0.013 .9997931 8.443809 + house_mmf | .1080688 2.371302 0.05 0.964 -4.545158 4.761296 + house_pocs | 1.962371 4.159064 0.47 0.637 -6.198996 10.12374 + house_pwt | -2.748127 2.414968 -1.14 0.255 -7.48704 1.990786 + house_rules | 6.597804 2.390578 2.76 0.006 1.906752 11.28885 + house_sst | 9.361923 7.660781 1.22 0.222 -5.670893 24.39474 + house_smallbusi | -4.80547 2.484159 -1.93 0.053 -9.680157 .0692165 + house_soc | .6310225 4.907061 0.13 0.898 -8.998146 10.26019 + house_veterans | .1794536 2.578874 0.07 0.945 -4.881093 5.24 + house_waysandmeans | 2.785599 1.525077 1.83 0.068 -.2070718 5.77827 +house_naturalresources | -.9858943 1.693895 -0.58 0.561 -4.309839 2.33805 + house_bfs | 2.966109 2.409595 1.23 0.219 -1.762259 7.694477 + house_eeo | -.9277785 3.765703 -0.25 0.805 -8.31725 6.461693 + house_govreform | -2.96505 1.881231 -1.58 0.115 -6.656605 .7265057 + house_ir | -2.918912 2.86596 -1.02 0.309 -8.54281 2.704986 + house_natsecur | 5.392692 4.792063 1.13 0.261 -4.010814 14.7962 + house_oversight | 6.05626 2.298564 2.63 0.009 1.545768 10.56675 + house_resources | -1.485224 1.611007 -0.92 0.357 -4.646516 1.676069 + house_science | .0796483 2.868379 0.03 0.978 -5.548997 5.708294 + house_transp | .4241458 1.457672 0.29 0.771 -2.436257 3.284549 + house_homeland | -5.086286 2.160585 -2.35 0.019 -9.32602 -.8465512 + _cons | 7.321165 8.274892 0.88 0.377 -8.916727 23.55906 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,014 1 0 1 1 +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(62,331 observations deleted) +(18 missing values generated) +(0 real changes made) +(0 real changes made) +(18 missing values generated) +(0 real changes made) +(0 real changes made) +(18 missing values generated) +(0 real changes made) +(0 real changes made) +(18 missing values generated) +(0 real changes made) +(0 real changes made) +(17 missing values generated) +(1 real change made) +(0 real changes made) +(5 real changes made) +(5 real changes made) +(5 real changes made) +file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/Table7_numb_cosponsors_T0.xls saved + + +j = 1 k = 1 + + +rdbwselect_2014 numb_cosponsors MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11990 +----------------------+---------------------- NN matches = 3 + Number of obs | 6151 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 25.22792 46.13311 .5468506 +---------------------------------------------- +reg numb_cosponsors sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 +> borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if tag_bill==1 & tenured==1, robust cluster(group_sponsor) +note: sponsor_rookie omitted because of collinearity + +Linear regression Number of obs = 37,354 + F(290, 2459) = . + Prob > F = . + R-squared = 0.0908 + Root MSE = 36.018 + + (Std. Err. adjusted for 2,460 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 1.913854 .9190195 2.08 0.037 .1117215 3.715986 + | + v2 | + 102 | -1.01221 1.051503 -0.96 0.336 -3.074132 1.049713 + 103 | -4.819841 1.581441 -3.05 0.002 -7.920936 -1.718747 + 104 | -4.367884 1.694931 -2.58 0.010 -7.691523 -1.044245 + 105 | -.947186 1.666239 -0.57 0.570 -4.214562 2.32019 + 106 | .4022704 1.77105 0.23 0.820 -3.070634 3.875174 + 107 | .6413402 1.628636 0.39 0.694 -2.5523 3.83498 + 108 | 2.336102 4.417258 0.53 0.597 -6.325828 10.99803 + 109 | 1.925296 4.354591 0.44 0.658 -6.613749 10.46434 + 110 | 2.809173 4.326198 0.65 0.516 -5.674194 11.29254 + 111 | .1279211 4.387624 0.03 0.977 -8.475898 8.731741 + | + minor | + 101 | 6.661346 8.918697 0.75 0.455 -10.82759 24.15028 + 103 | -.8497546 7.419359 -0.11 0.909 -15.39859 13.69908 + 104 | 3.645669 5.158228 0.71 0.480 -6.469251 13.76059 + 105 | 1.970724 4.904036 0.40 0.688 -7.645743 11.58719 + 107 | 8.650318 4.454766 1.94 0.052 -.0851626 17.3858 + 108 | 6.325898 7.35848 0.86 0.390 -8.103561 20.75536 + 110 | -4.530795 8.584116 -0.53 0.598 -21.36364 12.30205 + 200 | 16.13953 5.630966 2.87 0.004 5.097606 27.18146 + 201 | 10.39746 7.071406 1.47 0.142 -3.469065 24.26399 + 202 | 36.87617 7.908946 4.66 0.000 21.36728 52.38505 + 204 | 14.91777 7.736183 1.93 0.054 -.2523395 30.08787 + 205 | 60.43653 22.67495 2.67 0.008 15.97256 104.9005 + 206 | 10.21122 6.06831 1.68 0.093 -1.688301 22.11075 + 207 | 25.01423 6.103766 4.10 0.000 13.04517 36.98328 + 208 | 6.654024 4.870562 1.37 0.172 -2.896803 16.20485 + 209 | 24.83133 13.53816 1.83 0.067 -1.716051 51.37871 + 299 | 63.2405 17.05629 3.71 0.000 29.79432 96.68669 + 300 | 12.70732 5.612082 2.26 0.024 1.70242 23.71221 + 301 | 7.625863 4.805702 1.59 0.113 -1.797779 17.0495 + 302 | 13.36034 4.707919 2.84 0.005 4.128446 22.59224 + 321 | 8.769779 4.86441 1.80 0.072 -.7689837 18.30854 + 322 | 2.252876 4.602028 0.49 0.625 -6.771374 11.27713 + 323 | 17.29902 5.455666 3.17 0.002 6.600846 27.9972 + 324 | .3410484 4.664942 0.07 0.942 -8.806573 9.48867 + 325 | 7.922376 4.798336 1.65 0.099 -1.486821 17.33157 + 331 | 24.25076 5.224435 4.64 0.000 14.00601 34.4955 + 332 | 15.92032 4.748509 3.35 0.001 6.60883 25.23181 + 333 | 20.15763 6.305541 3.20 0.001 7.792907 32.52234 + 334 | 15.75576 5.011123 3.14 0.002 5.929302 25.58222 + 335 | 11.14315 5.325667 2.09 0.037 .6998933 21.58641 + 336 | 21.69609 5.653577 3.84 0.000 10.60983 32.78236 + 341 | 12.93251 5.740325 2.25 0.024 1.676143 24.18889 + 342 | 7.156048 9.117057 0.78 0.433 -10.72185 25.03395 + 343 | 7.103336 5.714275 1.24 0.214 -4.101953 18.30862 + 344 | 8.40122 6.507682 1.29 0.197 -4.359883 21.16232 + 398 | 27.74624 5.377919 5.16 0.000 17.20052 38.29196 + 399 | 10.0467 6.922713 1.45 0.147 -3.528251 23.62165 + 400 | 3.414951 5.120312 0.67 0.505 -6.625618 13.45552 + 401 | 2.45552 5.034229 0.49 0.626 -7.416246 12.32729 + 402 | 3.966478 4.552887 0.87 0.384 -4.961412 12.89437 + 403 | 3.936895 4.805286 0.82 0.413 -5.48593 13.35972 + 404 | 7.101703 5.537751 1.28 0.200 -3.757435 17.96084 + 405 | 34.25466 9.952473 3.44 0.001 14.73856 53.77075 + 498 | 16.25788 13.30643 1.22 0.222 -9.835091 42.35085 + 499 | 5.400521 7.678318 0.70 0.482 -9.656117 20.45716 + 500 | 1.882098 5.662343 0.33 0.740 -9.221355 12.98555 + 501 | 9.081404 5.097232 1.78 0.075 -.913907 19.07672 + 502 | 10.64014 5.671814 1.88 0.061 -.4818854 21.76217 + 503 | 9.695977 4.482213 2.16 0.031 .9066749 18.48528 + 504 | 28.35656 6.612062 4.29 0.000 15.39077 41.32234 + 505 | 15.55397 5.82652 2.67 0.008 4.128581 26.97937 + 506 | 13.96488 5.990443 2.33 0.020 2.218041 25.71171 + 508 | 5.136861 4.960995 1.04 0.301 -4.591299 14.86502 + 529 | 10.15986 7.344313 1.38 0.167 -4.241821 24.56153 + 530 | 5.511292 4.482783 1.23 0.219 -3.279127 14.30171 + 599 | 13.14286 8.794217 1.49 0.135 -4.101982 30.38769 + 600 | 7.168029 5.164214 1.39 0.165 -2.958629 17.29469 + 601 | 8.21022 4.483039 1.83 0.067 -.5807027 17.00114 + 602 | 11.35244 4.660516 2.44 0.015 2.213502 20.49138 + 603 | 7.211571 5.344898 1.35 0.177 -3.269395 17.69254 + 604 | 4.212462 6.671871 0.63 0.528 -8.870604 17.29553 + 606 | 14.58654 7.630587 1.91 0.056 -.376503 29.54958 + 607 | 9.723294 4.925974 1.97 0.049 .063808 19.38278 + 609 | 10.85409 6.29985 1.72 0.085 -1.499471 23.20765 + 698 | -.2566594 5.055261 -0.05 0.960 -10.16967 9.65635 + 699 | 9.503479 6.162286 1.54 0.123 -2.580327 21.58728 + 700 | 6.168495 4.772917 1.29 0.196 -3.190856 15.52785 + 701 | 6.862738 5.030091 1.36 0.173 -3.000915 16.72639 + 703 | 3.332946 4.657728 0.72 0.474 -5.800528 12.46642 + 704 | 9.23591 5.016447 1.84 0.066 -.6009877 19.07281 + 705 | 6.569982 5.050743 1.30 0.193 -3.334168 16.47413 + 707 | 14.31738 6.636331 2.16 0.031 1.304009 27.33076 + 708 | 7.050432 6.613796 1.07 0.287 -5.918754 20.01962 + 709 | 16.54525 4.683014 3.53 0.000 7.362188 25.7283 + 710 | 6.002057 4.686747 1.28 0.200 -3.188323 15.19244 + 711 | 11.25344 5.289328 2.13 0.033 .8814429 21.62544 + 798 | 14.4614 6.510816 2.22 0.026 1.694149 27.22865 + 799 | .1656317 6.884808 0.02 0.981 -13.33499 13.66625 + 800 | -2.296077 4.701295 -0.49 0.625 -11.51498 6.92283 + 801 | -1.173741 5.111863 -0.23 0.818 -11.19774 8.85026 + 802 | .0137571 4.699282 0.00 0.998 -9.201203 9.228717 + 803 | 4.356104 4.581314 0.95 0.342 -4.627527 13.33974 + 805 | 1.672386 4.77978 0.35 0.726 -7.700424 11.0452 + 806 | 4.054108 4.691511 0.86 0.388 -5.145613 13.25383 + 807 | 3.124861 4.886751 0.64 0.523 -6.457711 12.70743 + 898 | 1.883076 5.708467 0.33 0.742 -9.310824 13.07697 + 899 | -1.156114 5.394511 -0.21 0.830 -11.73437 9.42214 + 1000 | -.1341442 5.332496 -0.03 0.980 -10.59079 10.3225 + 1001 | 1.838254 4.729872 0.39 0.698 -7.436691 11.1132 + 1002 | 3.104174 4.910317 0.63 0.527 -6.524611 12.73296 + 1003 | 4.094435 4.648717 0.88 0.379 -5.02137 13.21024 + 1005 | 6.189118 5.492093 1.13 0.260 -4.580488 16.95872 + 1006 | 7.821975 5.077026 1.54 0.124 -2.133713 17.77766 + 1007 | 3.261967 4.681011 0.70 0.486 -5.917163 12.4411 + 1010 | 3.045799 5.641054 0.54 0.589 -8.015909 14.10751 + 1098 | -7.581957 4.879785 -1.55 0.120 -17.15087 1.986955 + 1099 | -1.759801 6.455696 -0.27 0.785 -14.41896 10.89936 + 1200 | 8.518222 6.21085 1.37 0.170 -3.660815 20.69726 + 1201 | 3.904896 4.998559 0.78 0.435 -5.896924 13.70672 + 1202 | -.0650586 5.008382 -0.01 0.990 -9.886142 9.756025 + 1203 | 4.03724 4.692577 0.86 0.390 -5.16457 13.23905 + 1204 | .5645669 4.584052 0.12 0.902 -8.424434 9.553568 + 1205 | 3.354226 4.922642 0.68 0.496 -6.298727 13.00718 + 1206 | 4.24694 6.230161 0.68 0.496 -7.969964 16.46384 + 1207 | 9.310444 5.080531 1.83 0.067 -.6521166 19.273 + 1208 | 12.16697 4.855788 2.51 0.012 2.645112 21.68882 + 1209 | 13.86979 4.849685 2.86 0.004 4.359897 23.37968 + 1210 | 8.089094 5.129361 1.58 0.115 -1.969219 18.14741 + 1211 | 10.71529 6.479015 1.65 0.098 -1.989605 23.42018 + 1299 | 15.94377 11.96246 1.33 0.183 -7.513762 39.40131 + 1300 | 17.89407 7.646366 2.34 0.019 2.900083 32.88805 + 1301 | 11.45723 5.035463 2.28 0.023 1.583048 21.33142 + 1302 | -2.592409 4.580598 -0.57 0.571 -11.57464 6.38982 + 1303 | 9.200492 4.758737 1.93 0.053 -.1310537 18.53204 + 1304 | 10.3936 5.345796 1.94 0.052 -.0891256 20.87633 + 1305 | 16.41843 7.086465 2.32 0.021 2.522375 30.31449 + 1399 | 20.23762 16.96655 1.19 0.233 -13.03258 53.50782 + 1400 | 3.376176 4.85052 0.70 0.486 -6.135351 12.8877 + 1401 | 4.87387 5.23512 0.93 0.352 -5.391828 15.13957 + 1403 | 9.601103 6.645744 1.44 0.149 -3.430731 22.63294 + 1404 | 8.498476 7.567994 1.12 0.262 -6.341823 23.33878 + 1405 | 2.350585 4.838284 0.49 0.627 -7.136948 11.83812 + 1406 | 13.75185 5.774832 2.38 0.017 2.427814 25.07588 + 1407 | 4.328205 5.152486 0.84 0.401 -5.775455 14.43186 + 1408 | -1.932006 4.749794 -0.41 0.684 -11.24602 7.382005 + 1409 | 22.1625 7.839318 2.83 0.005 6.790155 37.53485 + 1410 | 1.558919 4.606435 0.34 0.735 -7.473973 10.59181 + 1499 | 3.104941 5.59914 0.55 0.579 -7.874577 14.08446 + 1500 | 10.37792 7.707031 1.35 0.178 -4.73502 25.49086 + 1501 | 8.854515 4.787157 1.85 0.064 -.5327617 18.24179 + 1502 | 6.687841 4.810383 1.39 0.165 -2.744981 16.12066 + 1504 | 14.145 5.775322 2.45 0.014 2.820004 25.47 + 1505 | 1.011028 4.533914 0.22 0.824 -7.879657 9.901713 + 1507 | 6.945223 5.718486 1.21 0.225 -4.268324 18.15877 + 1520 | 3.406775 4.910617 0.69 0.488 -6.222597 13.03615 + 1521 | 5.511968 4.472332 1.23 0.218 -3.257958 14.28189 + 1522 | 1.036104 4.647426 0.22 0.824 -8.07717 10.14938 + 1523 | 3.049005 4.458883 0.68 0.494 -5.694548 11.79256 + 1524 | 33.9513 16.19667 2.10 0.036 2.190769 65.71182 + 1525 | 11.20199 4.822681 2.32 0.020 1.745059 20.65893 + 1526 | 6.256289 5.41353 1.16 0.248 -4.35926 16.87184 + 1599 | 14.06342 7.897844 1.78 0.075 -1.423691 29.55054 + 1600 | -2.824833 4.578292 -0.62 0.537 -11.80254 6.152873 + 1602 | 14.76414 9.004592 1.64 0.101 -2.89323 32.42151 + 1603 | -2.977471 5.948247 -0.50 0.617 -14.64156 8.686621 + 1604 | -2.929071 4.894201 -0.60 0.550 -12.52625 6.66811 + 1605 | 11.61774 6.238572 1.86 0.063 -.6156601 23.85114 + 1606 | .223299 5.531151 0.04 0.968 -10.6229 11.06949 + 1608 | 11.76499 4.814454 2.44 0.015 2.324192 21.2058 + 1609 | 14.46477 4.872602 2.97 0.003 4.909943 24.0196 + 1610 | 8.276217 7.348271 1.13 0.260 -6.133222 22.68566 + 1611 | -1.699189 5.168338 -0.33 0.742 -11.83394 8.435556 + 1612 | 5.113904 4.997347 1.02 0.306 -4.685539 14.91335 + 1614 | -1.488472 5.607565 -0.27 0.791 -12.48451 9.507565 + 1615 | 3.265249 4.955356 0.66 0.510 -6.451853 12.98235 + 1616 | -3.566243 4.544979 -0.78 0.433 -12.47862 5.346138 + 1617 | .0173321 5.58698 0.00 0.998 -10.93834 10.973 + 1619 | 5.139536 5.860535 0.88 0.381 -6.352557 16.63163 + 1620 | -5.276978 4.907845 -1.08 0.282 -14.90091 4.346958 + 1698 | -7.42527 4.949187 -1.50 0.134 -17.13028 2.279736 + 1699 | 22.83405 7.848329 2.91 0.004 7.444036 38.22407 + 1700 | 2.127241 5.694537 0.37 0.709 -9.039343 13.29383 + 1701 | -2.516641 4.523705 -0.56 0.578 -11.38731 6.354024 + 1704 | -.4325621 4.881756 -0.09 0.929 -10.00534 9.140215 + 1705 | 8.974563 6.486626 1.38 0.167 -3.745251 21.69438 + 1706 | 7.584419 5.087916 1.49 0.136 -2.392625 17.56146 + 1707 | 10.44113 5.009226 2.08 0.037 .6183979 20.26387 + 1708 | 2.265128 4.814698 0.47 0.638 -7.176153 11.70641 + 1709 | 7.525389 5.31676 1.42 0.157 -2.9004 17.95118 + 1798 | 16.4682 6.703682 2.46 0.014 3.322758 29.61365 + 1799 | 1.378401 7.635333 0.18 0.857 -13.59395 16.35075 + 1800 | .7058008 4.875041 0.14 0.885 -8.85381 10.26541 + 1802 | 2.307679 4.59472 0.50 0.616 -6.702241 11.3176 + 1803 | 4.205413 4.932234 0.85 0.394 -5.466349 13.87717 + 1804 | .940575 4.753843 0.20 0.843 -8.381375 10.26253 + 1806 | .9299703 4.681894 0.20 0.843 -8.250893 10.11083 + 1807 | -7.231215 4.345859 -1.66 0.096 -15.75314 1.290706 + 1808 | 8.623218 8.677807 0.99 0.320 -8.393347 25.63978 + 1899 | 23.32803 21.62695 1.08 0.281 -19.08089 65.73695 + 1900 | -.1116574 4.926265 -0.02 0.982 -9.771715 9.5484 + 1901 | 10.0679 4.984266 2.02 0.043 .2941089 19.84169 + 1902 | 11.15527 6.013561 1.86 0.064 -.6369014 22.94743 + 1905 | 22.67887 7.340804 3.09 0.002 8.284074 37.07367 + 1906 | 10.8851 5.161664 2.11 0.035 .7634441 21.00676 + 1907 | 4.051773 5.287622 0.77 0.444 -6.31688 14.42043 + 1908 | 5.186348 7.100626 0.73 0.465 -8.737476 19.11017 + 1909 | 1.08069 5.436447 0.20 0.842 -9.579798 11.74118 + 1910 | 8.399256 8.036552 1.05 0.296 -7.359854 24.15837 + 1911 | 16.23639 9.270253 1.75 0.080 -1.94192 34.4147 + 1912 | 3.764774 13.70664 0.27 0.784 -23.11297 30.64252 + 1914 | 8.280448 5.59181 1.48 0.139 -2.684695 19.24559 + 1915 | -6.053023 5.024222 -1.20 0.228 -15.90517 3.799121 + 1919 | 3.001569 5.326938 0.56 0.573 -7.444178 13.44732 + 1920 | 28.91494 7.888257 3.67 0.000 13.44662 44.38325 + 1925 | 20.23516 5.542311 3.65 0.000 9.367084 31.10324 + 1926 | 9.573166 5.436073 1.76 0.078 -1.086589 20.23292 + 1927 | 2.893377 4.852819 0.60 0.551 -6.622658 12.40941 + 1929 | 7.415347 5.553896 1.34 0.182 -3.47545 18.30614 + 1999 | 9.290225 11.38156 0.82 0.414 -13.0282 31.60866 + 2000 | 1.780688 4.527523 0.39 0.694 -7.097464 10.65884 + 2001 | 5.236107 5.22757 1.00 0.317 -5.014788 15.487 + 2002 | 4.830152 4.848499 1.00 0.319 -4.677411 14.33771 + 2003 | 18.31526 6.778649 2.70 0.007 5.022812 31.60771 + 2004 | 10.86414 4.81923 2.25 0.024 1.413968 20.3143 + 2005 | 4.149029 10.44121 0.40 0.691 -16.32544 24.6235 + 2006 | 79.76874 8.446773 9.44 0.000 63.20522 96.33227 + 2007 | 2.508357 4.957271 0.51 0.613 -7.212501 12.22921 + 2008 | 3.916804 4.427462 0.88 0.376 -4.765136 12.59874 + 2009 | 9.387163 7.989594 1.17 0.240 -6.279865 25.05419 + 2010 | -13.97879 4.58322 -3.05 0.002 -22.96616 -4.991419 + 2011 | .5468082 4.484329 0.12 0.903 -8.246644 9.34026 + 2012 | 4.028779 4.747267 0.85 0.396 -5.280276 13.33783 + 2013 | -.430517 4.774199 -0.09 0.928 -9.792384 8.93135 + 2014 | .407948 4.768953 0.09 0.932 -8.943631 9.759527 + 2015 | -.8997963 5.004728 -0.18 0.857 -10.71371 8.91412 + 2030 | 26.69879 9.595959 2.78 0.005 7.881796 45.51579 + 2099 | 11.94738 6.788772 1.76 0.079 -1.364925 25.25968 + 2100 | 1.578451 5.477609 0.29 0.773 -9.162752 12.31965 + 2101 | 5.585751 4.475461 1.25 0.212 -3.19031 14.36181 + 2102 | 1.152202 4.546142 0.25 0.800 -7.762461 10.06687 + 2103 | 3.92483 4.474267 0.88 0.380 -4.848891 12.69855 + 2104 | -2.05734 4.378517 -0.47 0.638 -10.6433 6.528621 + 2105 | 9.740618 6.236966 1.56 0.118 -2.489631 21.97087 + 2199 | -8.121089 4.644588 -1.75 0.081 -17.2288 .9866194 + 9999 | 29.06549 12.24125 2.37 0.018 5.061263 53.06971 + | + house_administration | 2.078463 1.819752 1.14 0.253 -1.489942 5.646867 + house_agriculture | 1.293045 1.18284 1.09 0.274 -1.02642 3.61251 + house_appropriations | -6.81768 1.338419 -5.09 0.000 -9.442225 -4.193135 + house_armedservices | 4.19626 1.49662 2.80 0.005 1.261495 7.131026 + house_budget | 9.02325 2.96619 3.04 0.002 3.206761 14.83974 + house_dc | -1.025352 2.801302 -0.37 0.714 -6.518506 4.467802 + house_educlabor | 4.512187 1.00816 4.48 0.000 2.535256 6.489118 + house_energycommerce | 4.86829 .7215576 6.75 0.000 3.453366 6.283213 + house_foreignaffairs | 4.471528 1.422603 3.14 0.002 1.681904 7.261152 + house_governmentop | 5.565219 1.901343 2.93 0.003 1.83682 9.293617 + house_intelligence | .5766997 4.882076 0.12 0.906 -8.996706 10.15011 + house_interior | -.4926778 1.384071 -0.36 0.722 -3.206744 2.221388 + house_judiciary | 3.394954 .7765503 4.37 0.000 1.872193 4.917714 + house_mmf | .5989061 1.639266 0.37 0.715 -2.615578 3.81339 + house_pocs | 7.312321 2.44854 2.99 0.003 2.510908 12.11373 + house_pwt | 4.121907 1.409715 2.92 0.003 1.357555 6.886258 + house_rules | 2.992132 1.584009 1.89 0.059 -.1139969 6.098261 + house_sst | 4.167056 2.228818 1.87 0.062 -.2034992 8.53761 + house_smallbusi | -5.128626 1.642321 -3.12 0.002 -8.349102 -1.90815 + house_soc | .1087003 11.14437 0.01 0.992 -21.74462 21.96202 + house_veterans | 1.762795 1.695523 1.04 0.299 -1.562006 5.087597 + house_waysandmeans | 3.928631 .7087377 5.54 0.000 2.538847 5.318416 +house_naturalresources | -1.115533 1.240451 -0.90 0.369 -3.54797 1.316903 + house_bfs | .4889985 1.064827 0.46 0.646 -1.599052 2.577049 + house_eeo | .4162433 2.833209 0.15 0.883 -5.139479 5.971965 + house_govreform | 4.892442 1.235668 3.96 0.000 2.469385 7.315499 + house_ir | 5.153149 1.539686 3.35 0.001 2.133933 8.172365 + house_natsecur | 8.964459 3.920357 2.29 0.022 1.276917 16.652 + house_oversight | -2.208732 1.765092 -1.25 0.211 -5.669953 1.25249 + house_resources | -1.645502 1.088838 -1.51 0.131 -3.780636 .4896326 + house_science | -1.747718 1.394222 -1.25 0.210 -4.481688 .9862519 + house_transp | 2.59543 1.033645 2.51 0.012 .5685265 4.622334 + house_homeland | -2.212699 1.564555 -1.41 0.157 -5.280682 .8552832 + sponsor_democrat | 1.343951 .6019459 2.23 0.026 .1635778 2.524325 + sponsor_rookie | 0 (omitted) + sponsor_tenure_run | .0327155 .1052336 0.31 0.756 -.17364 .2390711 + sponsor_age | .0460777 .0329799 1.40 0.162 -.0185935 .1107489 + leader | 1.69345 .6512188 2.60 0.009 .4164564 2.970444 + ivycoll | -1.167394 .8317118 -1.40 0.161 -2.798322 .4635339 + black | -1.274088 1.591929 -0.80 0.424 -4.395748 1.847572 + occ0 | 1.767676 1.002982 1.76 0.078 -.1991003 3.734452 + occ1 | .4494444 1.052125 0.43 0.669 -1.613698 2.512586 + occ2 | .0124349 .8649328 0.01 0.989 -1.683637 1.708507 + occ3 | -3.376283 1.077612 -3.13 0.002 -5.489403 -1.263163 + occ4 | -.9523036 .9457896 -1.01 0.314 -2.80693 .9023228 + borninstate | 1.577252 .5262817 3.00 0.003 .5452513 2.609254 + tot_bills | -.1896379 .0159037 -11.92 0.000 -.220824 -.1584518 + NE | -.9148514 .8300639 -1.10 0.271 -2.542548 .712845 + MW | -.8117608 .7897245 -1.03 0.304 -2.360355 .736833 + WE | 1.45567 .8854118 1.64 0.100 -.2805602 3.1919 + pct_black | .2049799 3.365 0.06 0.951 -6.393548 6.803507 + pct_urban | 1.060951 1.873207 0.57 0.571 -2.612276 4.734178 + pct_for_born | -3.603212 4.258689 -0.85 0.398 -11.9542 4.747776 + pct_age_over65 | 18.39112 7.643967 2.41 0.016 3.401842 33.3804 + lninc | 4.871295 1.646567 2.96 0.003 1.642492 8.100097 + lnpden | .0287968 .2764579 0.10 0.917 -.5133176 .5709111 + _cons | -47.53905 16.50902 -2.88 0.004 -79.91207 -15.16604 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,460 1 0 1 1 + + +j = 1 k = 2 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6187 +----------------------+---------------------- NN matches = 3 + Number of obs | 2193 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 29.70309 50.99673 .5824509 +---------------------------------------------- +reg numb_cosponsors sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 +> borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if sponsor_party==100 & tag_bill==1 & tenured==1, robust cluster(group +> _sponsor) +note: sponsor_democrat omitted because of collinearity +note: sponsor_rookie omitted because of collinearity + +Linear regression Number of obs = 21,497 + F(289, 1375) = . + Prob > F = . + R-squared = 0.1074 + Root MSE = 35.718 + + (Std. Err. adjusted for 1,376 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 1.324862 1.041052 1.27 0.203 -.7173597 3.367085 + | + v2 | + 102 | -.3961115 1.276854 -0.31 0.756 -2.900905 2.108682 + 103 | -5.148456 2.041733 -2.52 0.012 -9.153705 -1.143207 + 104 | -10.38744 2.121671 -4.90 0.000 -14.5495 -6.225376 + 105 | -3.968276 2.163599 -1.83 0.067 -8.212589 .276037 + 106 | -2.372679 2.331302 -1.02 0.309 -6.945972 2.200614 + 107 | -1.154419 2.052099 -0.56 0.574 -5.180002 2.871165 + 108 | -10.43515 6.522739 -1.60 0.110 -23.23074 2.360451 + 109 | -12.3414 6.468571 -1.91 0.057 -25.03073 .34794 + 110 | -6.68666 6.48439 -1.03 0.303 -19.40703 6.033709 + 111 | -10.06382 6.534112 -1.54 0.124 -22.88172 2.754091 + | + minor | + 101 | -5.426969 8.173822 -0.66 0.507 -21.46148 10.60754 + 103 | -12.41634 8.517067 -1.46 0.145 -29.12419 4.291513 + 104 | -6.140717 8.350594 -0.74 0.462 -22.522 10.24057 + 105 | .0627862 8.136439 0.01 0.994 -15.89839 16.02396 + 107 | -.6598096 7.647157 -0.09 0.931 -15.66117 14.34155 + 108 | 2.762632 11.24756 0.25 0.806 -19.3016 24.82687 + 110 | -11.99514 12.06004 -0.99 0.320 -35.65321 11.66293 + 200 | 11.85215 8.606233 1.38 0.169 -5.030621 28.73492 + 201 | 4.187699 9.575209 0.44 0.662 -14.5959 22.9713 + 202 | 34.46368 10.33961 3.33 0.001 14.18056 54.74681 + 204 | 16.62839 13.19952 1.26 0.208 -9.26498 42.52176 + 205 | 83.27712 30.38496 2.74 0.006 23.67122 142.883 + 206 | 1.111434 8.671195 0.13 0.898 -15.89877 18.12164 + 207 | 24.42028 10.12026 2.41 0.016 4.567454 44.27311 + 208 | -2.059635 7.831611 -0.26 0.793 -17.42283 13.30356 + 209 | 18.01292 14.06969 1.28 0.201 -9.587455 45.61329 + 299 | .8824645 11.70757 0.08 0.940 -22.08416 23.84909 + 300 | 8.144423 8.635279 0.94 0.346 -8.795324 25.08417 + 301 | .4766427 7.838085 0.06 0.952 -14.89926 15.85254 + 302 | 7.340827 7.835998 0.94 0.349 -8.030977 22.71263 + 321 | -.2355382 7.823208 -0.03 0.976 -15.58225 15.11118 + 322 | -5.971522 7.653972 -0.78 0.435 -20.98625 9.043204 + 323 | 12.78222 8.356246 1.53 0.126 -3.610152 29.17459 + 324 | -5.410218 7.694938 -0.70 0.482 -20.50531 9.684871 + 325 | 1.549946 7.845189 0.20 0.843 -13.83989 16.93978 + 331 | 15.80228 8.094703 1.95 0.051 -.0770282 31.68158 + 332 | 10.34723 7.832901 1.32 0.187 -5.018499 25.71296 + 333 | 15.94072 9.089364 1.75 0.080 -1.889807 33.77124 + 334 | 8.232389 7.917396 1.04 0.299 -7.299093 23.76387 + 335 | 4.549556 8.320935 0.55 0.585 -11.77355 20.87266 + 336 | 12.38848 8.405881 1.47 0.141 -4.101264 28.87821 + 341 | 8.428319 8.652421 0.97 0.330 -8.545056 25.40169 + 342 | 6.97006 12.53581 0.56 0.578 -17.62132 31.56144 + 343 | 4.697287 9.196028 0.51 0.610 -13.34248 22.73705 + 344 | -1.489208 8.913045 -0.17 0.867 -18.97385 15.99543 + 398 | 23.59881 8.571839 2.75 0.006 6.783515 40.41411 + 399 | 11.91343 11.39563 1.05 0.296 -10.44126 34.26813 + 400 | -.1933681 8.792678 -0.02 0.982 -17.44188 17.05515 + 401 | -1.625069 8.417169 -0.19 0.847 -18.13695 14.88681 + 402 | -.8148423 7.712625 -0.11 0.916 -15.94463 14.31494 + 403 | -1.956561 7.719059 -0.25 0.800 -17.09897 13.18585 + 404 | -2.248589 8.38184 -0.27 0.789 -18.69117 14.19399 + 405 | 36.07111 13.32731 2.71 0.007 9.927042 62.21517 + 498 | 37.63826 25.39389 1.48 0.139 -12.1767 87.45323 + 499 | 1.833285 12.19643 0.15 0.881 -22.09234 25.75891 + 500 | -8.545383 8.426692 -1.01 0.311 -25.07595 7.985181 + 501 | .466872 8.079017 0.06 0.954 -15.38166 16.3154 + 502 | 8.589261 9.146867 0.94 0.348 -9.354063 26.53258 + 503 | 2.495589 7.351032 0.34 0.734 -11.92486 16.91604 + 504 | 28.21557 10.17117 2.77 0.006 8.262873 48.16826 + 505 | 12.23899 9.251571 1.32 0.186 -5.909736 30.38771 + 506 | 11.51919 9.141057 1.26 0.208 -6.412736 29.45112 + 508 | 1.978273 8.112892 0.24 0.807 -13.93671 17.89326 + 529 | .3808007 11.21238 0.03 0.973 -21.61443 22.37603 + 530 | -.2071311 7.585723 -0.03 0.978 -15.08797 14.67371 + 599 | -.1636881 8.995611 -0.02 0.985 -17.8103 17.48292 + 600 | -2.072026 7.99369 -0.26 0.796 -17.75317 13.60912 + 601 | .7009761 7.508047 0.09 0.926 -14.02749 15.42944 + 602 | 4.142377 7.62129 0.54 0.587 -10.80824 19.09299 + 603 | -2.480671 7.937668 -0.31 0.755 -18.05192 13.09058 + 604 | -1.889486 10.40875 -0.18 0.856 -22.30824 18.52927 + 606 | 2.150187 11.81693 0.18 0.856 -21.03098 25.33136 + 607 | -.9035141 7.792743 -0.12 0.908 -16.19047 14.38344 + 609 | 2.567414 10.11242 0.25 0.800 -17.27002 22.40485 + 698 | -11.65465 7.735425 -1.51 0.132 -26.82916 3.51986 + 699 | 3.898609 9.177435 0.42 0.671 -14.10468 21.9019 + 700 | 4.573393 7.91416 0.58 0.563 -10.95174 20.09853 + 701 | 2.578469 8.280186 0.31 0.756 -13.6647 18.82163 + 703 | -1.156306 7.7546 -0.15 0.881 -16.36843 14.05582 + 704 | 4.635113 8.112877 0.57 0.568 -11.27984 20.55007 + 705 | 6.954834 8.417738 0.83 0.409 -9.558165 23.46783 + 707 | 12.08023 9.336043 1.29 0.196 -6.234197 30.39466 + 708 | -3.38217 8.448689 -0.40 0.689 -19.95589 13.19155 + 709 | 18.86635 7.890143 2.39 0.017 3.388332 34.34437 + 710 | 3.241114 8.057254 0.40 0.688 -12.56473 19.04696 + 711 | 12.94532 9.859078 1.31 0.189 -6.395141 32.28578 + 798 | 6.103414 8.528567 0.72 0.474 -10.627 22.83383 + 799 | -5.117846 10.32438 -0.50 0.620 -25.37108 15.13539 + 800 | -5.164116 7.94704 -0.65 0.516 -20.75375 10.42552 + 801 | -8.184377 7.849876 -1.04 0.297 -23.58341 7.214652 + 802 | -3.831241 7.858103 -0.49 0.626 -19.24641 11.58393 + 803 | -3.43954 7.62064 -0.45 0.652 -18.38888 11.5098 + 805 | -2.744553 7.808421 -0.35 0.725 -18.06226 12.57315 + 806 | -2.840508 7.674293 -0.37 0.711 -17.8951 12.21408 + 807 | -2.750634 8.007817 -0.34 0.731 -18.45949 12.95823 + 898 | 1.287445 9.423243 0.14 0.891 -17.19804 19.77293 + 899 | -1.92131 9.69562 -0.20 0.843 -20.94112 17.0985 + 1000 | -7.785942 7.593494 -1.03 0.305 -22.68203 7.110145 + 1001 | -3.767437 7.957015 -0.47 0.636 -19.37664 11.84177 + 1002 | -3.16893 7.925077 -0.40 0.689 -18.71548 12.37762 + 1003 | -1.276992 7.807382 -0.16 0.870 -16.59266 14.03868 + 1005 | 1.0772 8.910343 0.12 0.904 -16.40214 18.55654 + 1006 | -.0636318 8.142486 -0.01 0.994 -16.03667 15.90941 + 1007 | -.2275854 7.938499 -0.03 0.977 -15.80047 15.3453 + 1010 | .253316 8.820997 0.03 0.977 -17.05075 17.55738 + 1098 | -11.64727 8.214507 -1.42 0.156 -27.76159 4.467055 + 1099 | -.9961932 10.89788 -0.09 0.927 -22.37447 20.38208 + 1200 | 2.66279 9.819126 0.27 0.786 -16.5993 21.92488 + 1201 | -.5693437 8.171214 -0.07 0.944 -16.59874 15.46005 + 1202 | -5.89949 8.157414 -0.72 0.470 -21.90181 10.10283 + 1203 | -2.121633 7.760213 -0.27 0.785 -17.34477 13.1015 + 1204 | -5.67783 7.820915 -0.73 0.468 -21.02005 9.664386 + 1205 | -5.353781 7.724591 -0.69 0.488 -20.50704 9.799479 + 1206 | .277019 9.384911 0.03 0.976 -18.13327 18.68731 + 1207 | 2.647463 8.491164 0.31 0.755 -14.00957 19.3045 + 1208 | 4.51677 7.78891 0.58 0.562 -10.76266 19.7962 + 1209 | 1.358722 7.706172 0.18 0.860 -13.7584 16.47585 + 1210 | -2.382594 7.845486 -0.30 0.761 -17.77301 13.00782 + 1211 | 6.255103 9.725724 0.64 0.520 -12.82376 25.33397 + 1299 | 13.97807 17.27895 0.81 0.419 -19.91789 47.87402 + 1300 | 13.22513 10.71031 1.23 0.217 -7.785181 34.23545 + 1301 | 5.747056 8.000809 0.72 0.473 -9.948058 21.44217 + 1302 | -5.694922 7.651866 -0.74 0.457 -20.70552 9.315673 + 1303 | 4.864438 8.076992 0.60 0.547 -10.98012 20.709 + 1304 | 4.481046 8.13177 0.55 0.582 -11.47097 20.43306 + 1305 | -1.137663 8.535099 -0.13 0.894 -17.88089 15.60556 + 1399 | 53.5654 55.53624 0.96 0.335 -55.37952 162.5103 + 1400 | -4.093891 7.928259 -0.52 0.606 -19.64668 11.4589 + 1401 | -4.857441 7.472037 -0.65 0.516 -19.51527 9.800386 + 1403 | 7.844135 9.578409 0.82 0.413 -10.94574 26.63401 + 1404 | 12.93761 14.05174 0.92 0.357 -14.62756 40.50278 + 1405 | -1.749166 8.008781 -0.22 0.827 -17.45992 13.96159 + 1406 | 6.007493 8.474279 0.71 0.479 -10.61642 22.63141 + 1407 | -1.619285 8.335167 -0.19 0.846 -17.97031 14.73174 + 1408 | -7.86341 7.74715 -1.02 0.310 -23.06092 7.334102 + 1409 | 20.08563 11.14822 1.80 0.072 -1.783733 41.95499 + 1410 | -6.015979 7.616441 -0.79 0.430 -20.95708 8.925123 + 1499 | -8.994374 7.663406 -1.17 0.241 -24.02761 6.038859 + 1500 | 2.55401 11.1597 0.23 0.819 -19.33788 24.4459 + 1501 | .0454624 7.664777 0.01 0.995 -14.99046 15.08138 + 1502 | 1.983804 7.873652 0.25 0.801 -13.46187 17.42947 + 1504 | 7.093737 8.557405 0.83 0.407 -9.693245 23.88072 + 1505 | -7.419766 7.645103 -0.97 0.332 -22.41709 7.577562 + 1507 | -5.639908 8.464126 -0.67 0.505 -22.24391 10.96409 + 1520 | -5.515018 7.776196 -0.71 0.478 -20.76951 9.739475 + 1521 | -1.096837 7.575818 -0.14 0.885 -15.95825 13.76458 + 1522 | -6.164219 7.67885 -0.80 0.422 -21.22775 8.899311 + 1523 | -1.807748 7.523533 -0.24 0.810 -16.56659 12.9511 + 1524 | 23.70938 18.35493 1.29 0.197 -12.29731 59.71608 + 1525 | 6.292809 7.760917 0.81 0.418 -8.931711 21.51733 + 1526 | -4.114909 7.944016 -0.52 0.605 -19.69861 11.46879 + 1599 | 7.470069 10.72928 0.70 0.486 -13.57745 28.51759 + 1600 | -6.956951 7.595397 -0.92 0.360 -21.85677 7.942868 + 1602 | 5.873873 12.42563 0.47 0.636 -18.50137 30.24912 + 1603 | -17.6403 10.06057 -1.75 0.080 -37.37603 2.095435 + 1604 | -10.74982 7.674255 -1.40 0.162 -25.80433 4.304697 + 1605 | 3.891092 9.032865 0.43 0.667 -13.8286 21.61078 + 1606 | -8.246267 8.290659 -0.99 0.320 -24.50998 8.017443 + 1608 | .0621965 7.520274 0.01 0.993 -14.69026 14.81465 + 1609 | 2.872246 7.736937 0.37 0.711 -12.30523 18.04972 + 1610 | -.1244057 9.245263 -0.01 0.989 -18.26075 18.01194 + 1611 | -9.047639 7.618848 -1.19 0.235 -23.99346 5.898184 + 1612 | 2.734372 8.044068 0.34 0.734 -13.0456 18.51435 + 1614 | -3.866109 8.913809 -0.43 0.665 -21.35225 13.62003 + 1615 | -2.043483 8.044249 -0.25 0.800 -17.82381 13.73685 + 1616 | -9.318144 7.650938 -1.22 0.223 -24.32692 5.690631 + 1617 | -9.842953 7.948666 -1.24 0.216 -25.43578 5.749873 + 1619 | -3.877121 8.826659 -0.44 0.661 -21.1923 13.43805 + 1620 | -8.892135 8.250955 -1.08 0.281 -25.07796 7.293687 + 1698 | -12.74181 8.196008 -1.55 0.120 -28.81984 3.336222 + 1699 | 26.88217 11.51834 2.33 0.020 4.286746 49.4776 + 1700 | -1.760525 9.014229 -0.20 0.845 -19.44366 15.92261 + 1701 | -9.05555 7.903697 -1.15 0.252 -24.56016 6.44906 + 1704 | -5.896349 10.32413 -0.57 0.568 -26.1491 14.35641 + 1705 | 8.89089 9.742541 0.91 0.362 -10.22096 28.00274 + 1706 | -.454027 8.019529 -0.06 0.955 -16.18586 15.27781 + 1707 | .4431136 7.765025 0.06 0.955 -14.78946 15.67569 + 1708 | .1288172 8.607059 0.01 0.988 -16.75557 17.01321 + 1709 | -2.534968 8.271482 -0.31 0.759 -18.76106 13.69112 + 1798 | 11.17838 10.89381 1.03 0.305 -10.19191 32.54866 + 1799 | 1.943622 14.11785 0.14 0.891 -25.75122 29.63847 + 1800 | -5.037272 8.164919 -0.62 0.537 -21.05432 10.97977 + 1802 | -3.080815 7.802812 -0.39 0.693 -18.38752 12.22589 + 1803 | 2.753619 8.182411 0.34 0.737 -13.29774 18.80498 + 1804 | -4.928103 8.04722 -0.61 0.540 -20.71426 10.85805 + 1806 | -4.841078 7.868925 -0.62 0.539 -20.27748 10.59532 + 1807 | -12.86427 7.497991 -1.72 0.086 -27.57301 1.844466 + 1808 | -2.825747 11.47069 -0.25 0.805 -25.32769 19.6762 + 1899 | 35.2174 29.39484 1.20 0.231 -22.44618 92.88098 + 1900 | -1.709019 8.160486 -0.21 0.834 -17.71737 14.29933 + 1901 | 10.25341 8.417329 1.22 0.223 -6.258788 26.76561 + 1902 | 3.44897 9.086613 0.38 0.704 -14.37615 21.2741 + 1905 | 18.71344 10.43299 1.79 0.073 -1.752862 39.17974 + 1906 | 4.902648 8.326159 0.59 0.556 -11.4307 21.236 + 1907 | -3.296583 8.358306 -0.39 0.693 -19.69299 13.09983 + 1908 | -.4766743 10.24429 -0.05 0.963 -20.57281 19.61946 + 1909 | -6.579146 9.303445 -0.71 0.480 -24.82963 11.67134 + 1910 | -2.779765 11.22288 -0.25 0.804 -24.79559 19.23606 + 1911 | 16.34928 13.27702 1.23 0.218 -9.696122 42.39468 + 1912 | -1.588835 18.29745 -0.09 0.931 -37.48278 34.3051 + 1914 | 5.549794 9.113603 0.61 0.543 -12.32828 23.42786 + 1915 | -4.305798 7.878864 -0.55 0.585 -19.76169 11.1501 + 1919 | 1.578063 10.3198 0.15 0.878 -18.66619 21.82232 + 1920 | 16.50477 11.26125 1.47 0.143 -5.586319 38.59585 + 1925 | 16.69532 9.038185 1.85 0.065 -1.034806 34.42544 + 1926 | 10.48974 10.09672 1.04 0.299 -9.316897 30.29637 + 1927 | -1.042738 8.479392 -0.12 0.902 -17.67668 15.59121 + 1929 | -2.759268 8.314761 -0.33 0.740 -19.07026 13.55172 + 1999 | 6.367969 18.58601 0.34 0.732 -30.09203 42.82796 + 2000 | -4.721385 7.640076 -0.62 0.537 -19.70885 10.26608 + 2001 | -.3952602 8.378863 -0.05 0.962 -16.832 16.04148 + 2002 | -4.156092 7.991755 -0.52 0.603 -19.83344 11.52126 + 2003 | 15.97033 11.04534 1.45 0.148 -5.697219 37.63788 + 2004 | 9.706483 7.994366 1.21 0.225 -5.97599 25.38896 + 2005 | -10.12026 8.449145 -1.20 0.231 -26.69487 6.454349 + 2006 | 75.4189 12.55623 6.01 0.000 50.78747 100.0503 + 2007 | -5.028022 7.680949 -0.65 0.513 -20.09567 10.03962 + 2008 | -.9200039 7.522141 -0.12 0.903 -15.67612 13.83611 + 2009 | 9.149401 12.71462 0.72 0.472 -15.79275 34.09155 + 2010 | -21.8138 7.65603 -2.85 0.004 -36.83256 -6.795037 + 2011 | -7.549393 7.706208 -0.98 0.327 -22.66659 7.567803 + 2012 | -1.898602 7.824027 -0.24 0.808 -17.24692 13.44972 + 2013 | -5.726585 7.841625 -0.73 0.465 -21.10943 9.656259 + 2014 | -5.264778 7.893067 -0.67 0.505 -20.74854 10.21898 + 2015 | -4.673928 8.250083 -0.57 0.571 -20.85804 11.51018 + 2030 | 21.43437 11.99783 1.79 0.074 -2.101655 44.9704 + 2099 | 12.82295 10.78777 1.19 0.235 -8.339329 33.98523 + 2100 | -4.991516 8.469209 -0.59 0.556 -21.60548 11.62245 + 2101 | -.7802869 7.599623 -0.10 0.918 -15.6884 14.12782 + 2102 | -3.121926 7.930766 -0.39 0.694 -18.67964 12.43578 + 2103 | 3.449491 7.69674 0.45 0.654 -11.64913 18.54811 + 2104 | -7.204524 7.55065 -0.95 0.340 -22.01656 7.607517 + 2105 | 7.935382 12.01799 0.66 0.509 -15.64019 31.51095 + 2199 | -13.93851 8.104869 -1.72 0.086 -29.83775 1.960738 + 9999 | 20.27039 15.94302 1.27 0.204 -11.00489 51.54566 + | + house_administration | 3.775876 2.683268 1.41 0.160 -1.487866 9.039618 + house_agriculture | -.2934412 1.476016 -0.20 0.842 -3.188927 2.602045 + house_appropriations | -7.154716 1.851349 -3.86 0.000 -10.78649 -3.522942 + house_armedservices | 3.221689 1.71346 1.88 0.060 -.1395896 6.582967 + house_budget | 1.982902 3.070024 0.65 0.518 -4.039536 8.005341 + house_dc | -4.319517 3.933016 -1.10 0.272 -12.03488 3.395844 + house_educlabor | 6.68022 1.258311 5.31 0.000 4.211803 9.148637 + house_energycommerce | 3.935981 .9041078 4.35 0.000 2.162401 5.709561 + house_foreignaffairs | 4.309653 1.908347 2.26 0.024 .5660666 8.053238 + house_governmentop | 1.6461 2.151855 0.76 0.444 -2.575175 5.867374 + house_intelligence | 7.104411 7.633064 0.93 0.352 -7.8693 22.07812 + house_interior | -3.117714 1.851164 -1.68 0.092 -6.749125 .513696 + house_judiciary | 3.275823 .9913606 3.30 0.001 1.33108 5.220566 + house_mmf | -1.329519 2.238351 -0.59 0.553 -5.720472 3.061434 + house_pocs | 6.002597 3.140509 1.91 0.056 -.1581108 12.16331 + house_pwt | 2.858556 1.797896 1.59 0.112 -.6683594 6.385472 + house_rules | 3.055803 2.178021 1.40 0.161 -1.216799 7.328406 + house_sst | 6.483994 2.771274 2.34 0.019 1.047611 11.92038 + house_smallbusi | -5.222571 2.043173 -2.56 0.011 -9.230644 -1.214498 + house_soc | 4.104345 13.96519 0.29 0.769 -23.29104 31.49973 + house_veterans | 3.871108 2.102927 1.84 0.066 -.2541836 7.9964 + house_waysandmeans | 3.461524 .8980667 3.85 0.000 1.699795 5.223253 +house_naturalresources | -3.196557 1.702156 -1.88 0.061 -6.535661 .1425465 + house_bfs | .8119386 1.437956 0.56 0.572 -2.008886 3.632763 + house_eeo | .6697268 2.629144 0.25 0.799 -4.487841 5.827295 + house_govreform | 5.257899 1.504941 3.49 0.000 2.30567 8.210127 + house_ir | 5.052487 2.160531 2.34 0.020 .8141926 9.290781 + house_natsecur | 6.024808 3.388162 1.78 0.076 -.6217191 12.67133 + house_oversight | -5.153934 2.078841 -2.48 0.013 -9.231977 -1.075891 + house_resources | .2854176 1.786237 0.16 0.873 -3.218628 3.789463 + house_science | -3.836488 1.667755 -2.30 0.022 -7.108108 -.5648679 + house_transp | .9100894 1.272932 0.71 0.475 -1.587009 3.407187 + house_homeland | -3.53374 1.867155 -1.89 0.059 -7.19652 .1290409 + sponsor_democrat | 0 (omitted) + sponsor_rookie | 0 (omitted) + sponsor_tenure_run | .0660245 .1386072 0.48 0.634 -.2058799 .337929 + sponsor_age | -.0104065 .0431184 -0.24 0.809 -.0949915 .0741785 + leader | 3.749539 .960865 3.90 0.000 1.864619 5.634459 + ivycoll | -1.984416 .9603636 -2.07 0.039 -3.868352 -.1004797 + black | -3.335857 1.719958 -1.94 0.053 -6.709883 .0381687 + occ0 | -.9518586 1.291236 -0.74 0.461 -3.484865 1.581147 + occ1 | -1.340336 1.408161 -0.95 0.341 -4.102712 1.42204 + occ2 | -1.581246 1.139749 -1.39 0.166 -3.817082 .6545905 + occ3 | -5.283006 1.506985 -3.51 0.000 -8.239245 -2.326767 + occ4 | -4.67435 1.420663 -3.29 0.001 -7.461251 -1.887448 + borninstate | 2.140091 .6550275 3.27 0.001 .85513 3.425053 + tot_bills | -.2187463 .0190813 -11.46 0.000 -.2561778 -.1813147 + NE | 1.752501 1.224743 1.43 0.153 -.6500664 4.155069 + MW | 2.218423 1.145677 1.94 0.053 -.0290405 4.465887 + WE | 4.812466 1.171941 4.11 0.000 2.51348 7.111452 + pct_black | 5.975762 3.926457 1.52 0.128 -1.726732 13.67826 + pct_urban | 6.970157 2.49126 2.80 0.005 2.083076 11.85724 + pct_for_born | -5.149476 5.001342 -1.03 0.303 -14.96056 4.66161 + pct_age_over65 | 7.883678 11.2731 0.70 0.484 -14.23066 29.99802 + lninc | 4.031132 1.965774 2.05 0.040 .1748919 7.887373 + lnpden | -.702955 .411545 -1.71 0.088 -1.510279 .104369 + _cons | -26.27163 20.48998 -1.28 0.200 -66.46664 13.92338 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,376 1 0 1 1 + + +j = 1 k = 3 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 13.03771 22.75762 .5728944 +---------------------------------------------- +reg numb_cosponsors sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 +> borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if sponsor_party==200 & tag_bill==1 & tenured==1, robust cluster(group +> _sponsor) +note: sponsor_democrat omitted because of collinearity +note: sponsor_rookie omitted because of collinearity +note: black omitted because of collinearity + +Linear regression Number of obs = 15,785 + F(286, 1079) = . + Prob > F = . + R-squared = 0.1134 + Root MSE = 35.761 + + (Std. Err. adjusted for 1,080 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 4.176221 1.699579 2.46 0.014 .8413658 7.511076 + | + v2 | + 102 | -2.773252 1.582566 -1.75 0.080 -5.878508 .3320032 + 103 | -6.815842 2.789808 -2.44 0.015 -12.28991 -1.341779 + 104 | -1.163097 2.739708 -0.42 0.671 -6.538855 4.212662 + 105 | -.370544 2.735466 -0.14 0.892 -5.73798 4.996892 + 106 | .6301978 2.777147 0.23 0.821 -4.819023 6.079418 + 107 | .1320256 2.76272 0.05 0.962 -5.288887 5.552938 + 108 | 1.147784 6.386572 0.18 0.857 -11.38372 13.67929 + 109 | 2.539614 6.281708 0.40 0.686 -9.786133 14.86536 + 110 | -3.223451 6.265418 -0.51 0.607 -15.51724 9.070334 + 111 | -4.626579 6.424942 -0.72 0.472 -17.23338 7.980217 + | + minor | + 101 | 4.427091 7.122925 0.62 0.534 -9.549264 18.40345 + 103 | 19.37708 22.49779 0.86 0.389 -24.7673 63.52145 + 104 | 10.47155 6.531972 1.60 0.109 -2.345252 23.28836 + 105 | 1.201735 6.043731 0.20 0.842 -10.65706 13.06053 + 107 | 15.28967 5.271875 2.90 0.004 4.945378 25.63396 + 108 | 8.476961 6.558748 1.29 0.196 -4.392386 21.34631 + 110 | 2.781287 5.625824 0.49 0.621 -8.257508 13.82008 + 200 | 14.72338 7.648617 1.92 0.054 -.2844687 29.73123 + 201 | 7.141743 8.133431 0.88 0.380 -8.81739 23.10088 + 202 | 19.32621 12.78165 1.51 0.131 -5.7535 44.40593 + 204 | 13.35145 6.281074 2.13 0.034 1.026945 25.67595 + 205 | 11.03717 9.760289 1.13 0.258 -8.114125 30.18847 + 206 | 20.82591 11.44759 1.82 0.069 -1.63615 43.28797 + 207 | 25.45113 7.242323 3.51 0.000 11.2405 39.66176 + 208 | 13.46963 6.50518 2.07 0.039 .7053906 26.23386 + 299 | 94.67943 20.26629 4.67 0.000 54.91363 134.4452 + 300 | 13.87913 7.904052 1.76 0.079 -1.62992 29.38819 + 301 | 15.31298 6.525542 2.35 0.019 2.508787 28.11717 + 302 | 18.78582 5.930804 3.17 0.002 7.148602 30.42303 + 321 | 17.36339 6.74293 2.58 0.010 4.132644 30.59413 + 322 | 10.22944 5.934256 1.72 0.085 -1.414555 21.87343 + 323 | 19.33127 7.629686 2.53 0.011 4.360563 34.30197 + 324 | 4.968595 6.038187 0.82 0.411 -6.879324 16.81651 + 325 | 13.57172 6.352852 2.14 0.033 1.106377 26.03706 + 331 | 33.74338 8.020242 4.21 0.000 18.00634 49.48042 + 332 | 18.97288 6.099124 3.11 0.002 7.005388 30.94036 + 333 | 17.82965 10.99441 1.62 0.105 -3.743193 39.40249 + 334 | 22.71418 7.428386 3.06 0.002 8.138462 37.2899 + 335 | 19.76702 7.694761 2.57 0.010 4.66863 34.86541 + 336 | 32.94274 9.055123 3.64 0.000 15.1751 50.71039 + 341 | 16.26649 9.030003 1.80 0.072 -1.451866 33.98485 + 342 | -3.684976 6.660358 -0.55 0.580 -16.7537 9.383745 + 343 | 8.023041 7.397673 1.08 0.278 -6.492415 22.5385 + 344 | 36.62623 14.35525 2.55 0.011 8.458865 64.7936 + 398 | 28.95032 7.092151 4.08 0.000 15.03435 42.86629 + 399 | 3.817357 5.911344 0.65 0.519 -7.781675 15.41639 + 400 | 4.290762 5.690168 0.75 0.451 -6.874286 15.45581 + 401 | 5.839049 5.848172 1.00 0.318 -5.636029 17.31413 + 402 | 6.182925 5.457135 1.13 0.257 -4.524874 16.89072 + 403 | 13.53245 8.461567 1.60 0.110 -3.070545 30.13544 + 404 | 18.37077 7.877821 2.33 0.020 2.913187 33.82836 + 405 | 26.76664 15.37523 1.74 0.082 -3.402095 56.93537 + 498 | -1.062771 5.469794 -0.19 0.846 -11.79541 9.669868 + 499 | 6.576302 5.681576 1.16 0.247 -4.571887 17.72449 + 500 | 11.51353 7.547222 1.53 0.127 -3.295366 26.32243 + 501 | 17.23951 6.847462 2.52 0.012 3.803664 30.67536 + 502 | 8.089661 6.071691 1.33 0.183 -3.823998 20.00332 + 503 | 15.17224 6.026207 2.52 0.012 3.347832 26.99666 + 504 | 24.24344 7.596069 3.19 0.001 9.338699 39.14818 + 505 | 15.49173 6.223316 2.49 0.013 3.280556 27.7029 + 506 | 10.11283 5.821497 1.74 0.083 -1.30991 21.53557 + 508 | .8030709 5.522655 0.15 0.884 -10.03329 11.63943 + 529 | 19.30418 9.448042 2.04 0.041 .7655647 37.8428 + 530 | 10.14957 5.47721 1.85 0.064 -.5976167 20.89676 + 599 | 19.77902 10.8568 1.82 0.069 -1.52381 41.08184 + 600 | 16.4133 7.371741 2.23 0.026 1.948725 30.87787 + 601 | 13.95157 5.560403 2.51 0.012 3.041139 24.86199 + 602 | 18.89315 6.016959 3.14 0.002 7.086884 30.69942 + 603 | 25.81951 12.26661 2.10 0.036 1.750397 49.88862 + 604 | 12.22428 6.204439 1.97 0.049 .050147 24.39841 + 606 | 30.24221 9.180697 3.29 0.001 12.22816 48.25625 + 607 | 23.14683 7.085509 3.27 0.001 9.24389 37.04977 + 609 | 17.88899 7.40759 2.41 0.016 3.35408 32.42391 + 698 | 12.52271 8.501997 1.47 0.141 -4.159607 29.20504 + 699 | 12.14339 9.823178 1.24 0.217 -7.131302 31.41809 + 700 | 3.518903 5.846032 0.60 0.547 -7.951976 14.98978 + 701 | 7.348081 6.065426 1.21 0.226 -4.553286 19.24945 + 703 | 3.078896 5.589448 0.55 0.582 -7.888522 14.04631 + 704 | 9.561506 6.466729 1.48 0.140 -3.127282 22.25029 + 705 | .4216884 5.685068 0.07 0.941 -10.73335 11.57673 + 707 | -3.197856 5.59184 -0.57 0.568 -14.16997 7.774257 + 708 | 25.16068 18.39617 1.37 0.172 -10.93564 61.257 + 709 | 10.4973 5.435489 1.93 0.054 -.1680282 21.16263 + 710 | 4.919921 5.405858 0.91 0.363 -5.687265 15.52711 + 711 | 8.961667 5.748421 1.56 0.119 -2.317683 20.24102 + 798 | 21.32212 11.60288 1.84 0.066 -1.444646 44.08888 + 799 | 2.273568 6.461156 0.35 0.725 -10.40429 14.95142 + 800 | -.8152386 5.69125 -0.14 0.886 -11.98241 10.35193 + 801 | 4.009656 7.971685 0.50 0.615 -11.6321 19.65142 + 802 | .3699073 5.629171 0.07 0.948 -10.67545 11.41527 + 803 | 10.71937 5.702847 1.88 0.060 -.4705578 21.9093 + 805 | 1.064901 5.70746 0.19 0.852 -10.13408 12.26388 + 806 | 9.022218 6.059364 1.49 0.137 -2.867253 20.91169 + 807 | 5.747512 6.288155 0.91 0.361 -6.590885 18.08591 + 898 | .7749747 5.924964 0.13 0.896 -10.85078 12.40073 + 899 | -1.077093 6.483745 -0.17 0.868 -13.79927 11.64508 + 1000 | 4.521375 8.040721 0.56 0.574 -11.25585 20.2986 + 1001 | 6.070847 5.786355 1.05 0.294 -5.282935 17.42463 + 1002 | 7.351504 6.260283 1.17 0.241 -4.932204 19.63521 + 1003 | 6.451864 5.727047 1.13 0.260 -4.785548 17.68928 + 1005 | 8.128872 6.774912 1.20 0.230 -5.164623 21.42237 + 1006 | 15.96248 6.706115 2.38 0.017 2.803971 29.12098 + 1007 | 4.786903 5.716998 0.84 0.403 -6.430791 16.0046 + 1010 | 3.812396 7.689703 0.50 0.620 -11.27607 18.90086 + 1098 | -5.648956 5.924476 -0.95 0.341 -17.27376 5.975845 + 1099 | -9.484464 6.021204 -1.58 0.116 -21.29906 2.330132 + 1200 | 12.04025 7.937075 1.52 0.130 -3.533598 27.61411 + 1201 | 6.929564 6.292164 1.10 0.271 -5.416701 19.27583 + 1202 | 3.192502 6.762276 0.47 0.637 -10.0762 16.4612 + 1203 | 7.577236 5.941784 1.28 0.202 -4.081524 19.236 + 1204 | 4.90204 5.534505 0.89 0.376 -5.957572 15.76165 + 1205 | 9.753515 6.791494 1.44 0.151 -3.572517 23.07955 + 1206 | 1.743659 5.930415 0.29 0.769 -9.892794 13.38011 + 1207 | 14.00755 6.273601 2.23 0.026 1.697709 26.31739 + 1208 | 18.33049 6.801869 2.69 0.007 4.984101 31.67688 + 1209 | 31.89613 6.936656 4.60 0.000 18.28527 45.50699 + 1210 | 18.53645 7.340402 2.53 0.012 4.133375 32.93953 + 1211 | 12.72037 8.847552 1.44 0.151 -4.639987 30.08073 + 1299 | 11.53532 9.925271 1.16 0.245 -7.939704 31.01033 + 1300 | 19.5538 11.21323 1.74 0.081 -2.448409 41.55601 + 1301 | 13.64899 7.218274 1.89 0.059 -.5144556 27.81243 + 1302 | -1.601614 5.620433 -0.28 0.776 -12.62983 9.426604 + 1303 | 11.89693 5.704103 2.09 0.037 .7045347 23.08932 + 1304 | 15.93619 8.623627 1.85 0.065 -.9847911 32.85717 + 1305 | 55.0443 16.6504 3.31 0.001 22.37347 87.71514 + 1399 | 7.56225 6.741988 1.12 0.262 -5.666643 20.79114 + 1400 | 9.628166 6.098375 1.58 0.115 -2.337852 21.59418 + 1401 | 15.52318 9.521939 1.63 0.103 -3.16044 34.20679 + 1403 | -.4077989 5.790923 -0.07 0.944 -11.77055 10.95495 + 1404 | 3.936818 5.349962 0.74 0.462 -6.56069 14.43433 + 1405 | 3.119668 5.689084 0.55 0.584 -8.043254 14.28259 + 1406 | 13.49906 8.33071 1.62 0.105 -2.84717 29.84529 + 1407 | 9.075009 6.108549 1.49 0.138 -2.910972 21.06099 + 1408 | -1.439282 5.737596 -0.25 0.802 -12.69739 9.818828 + 1409 | 17.53829 9.794352 1.79 0.074 -1.679841 36.75643 + 1410 | 6.176824 5.804917 1.06 0.288 -5.213381 17.56703 + 1499 | 12.83431 9.111809 1.41 0.159 -5.044565 30.71318 + 1500 | 16.57454 11.18631 1.48 0.139 -5.374848 38.52394 + 1501 | 17.46669 6.62102 2.64 0.008 4.475161 30.45823 + 1502 | 8.464739 6.258132 1.35 0.176 -3.814748 20.74423 + 1504 | 21.4309 9.188783 2.33 0.020 3.400994 39.46081 + 1505 | 7.329731 5.486366 1.34 0.182 -3.435424 18.09489 + 1507 | 17.35545 7.962556 2.18 0.030 1.731604 32.9793 + 1520 | 9.487024 6.720771 1.41 0.158 -3.700238 22.67429 + 1521 | 10.10189 5.543359 1.82 0.069 -.775095 20.97887 + 1522 | 3.526395 5.894734 0.60 0.550 -8.040045 15.09283 + 1523 | 5.202362 5.713354 0.91 0.363 -6.008182 16.41291 + 1524 | 47.66777 30.98383 1.54 0.124 -13.12761 108.4631 + 1525 | 12.94417 7.271119 1.78 0.075 -1.322962 27.21131 + 1526 | 16.26538 8.112965 2.00 0.045 .3464 32.18435 + 1599 | 19.17554 13.87163 1.38 0.167 -8.042888 46.39398 + 1600 | -1.501837 5.789485 -0.26 0.795 -12.86176 9.858089 + 1602 | 27.0063 13.91014 1.94 0.052 -.2876991 54.3003 + 1603 | 6.632973 6.168876 1.08 0.283 -5.471381 18.73733 + 1604 | 10.08868 8.3454 1.21 0.227 -6.286367 26.46374 + 1605 | 19.1297 10.45957 1.83 0.068 -1.393708 39.65311 + 1606 | 7.190478 8.305128 0.87 0.387 -9.105555 23.48651 + 1608 | 24.08064 6.735718 3.58 0.000 10.86405 37.29723 + 1609 | 27.31428 6.602173 4.14 0.000 14.35973 40.26883 + 1610 | 27.9001 19.23488 1.45 0.147 -9.841916 65.64212 + 1611 | 5.748338 9.32772 0.62 0.538 -12.55419 24.05086 + 1612 | 6.61797 6.70782 0.99 0.324 -6.543879 19.77982 + 1614 | -5.126402 5.517928 -0.93 0.353 -15.95349 5.700683 + 1615 | 7.348794 6.663545 1.10 0.270 -5.726181 20.42377 + 1616 | -1.949551 5.561903 -0.35 0.726 -12.86292 8.963821 + 1617 | 12.19229 10.56763 1.15 0.249 -8.543141 32.92772 + 1619 | 14.54636 8.725761 1.67 0.096 -2.575026 31.66774 + 1620 | -1.659161 5.562823 -0.30 0.766 -12.57434 9.256015 + 1698 | -4.157401 6.784441 -0.61 0.540 -17.46959 9.154791 + 1699 | 15.67441 10.4393 1.50 0.134 -4.809211 36.15803 + 1700 | 4.562463 7.767602 0.59 0.557 -10.67885 19.80378 + 1701 | 1.538505 5.552696 0.28 0.782 -9.3568 12.43381 + 1704 | 3.566232 5.246399 0.68 0.497 -6.728069 13.86053 + 1705 | -1.390897 5.885495 -0.24 0.813 -12.93921 10.15742 + 1706 | 13.86206 6.950797 1.99 0.046 .2234454 27.50067 + 1707 | 20.70343 7.692657 2.69 0.007 5.609171 35.7977 + 1708 | 1.635829 5.453538 0.30 0.764 -9.064913 12.33657 + 1709 | 12.42325 6.952851 1.79 0.074 -1.219391 26.06589 + 1798 | 19.35281 7.683051 2.52 0.012 4.2774 34.42823 + 1799 | -2.639099 5.614828 -0.47 0.638 -13.65632 8.378121 + 1800 | 2.012053 5.898458 0.34 0.733 -9.561694 13.5858 + 1802 | 4.013299 5.561905 0.72 0.471 -6.900077 14.92667 + 1803 | 2.906758 5.92062 0.49 0.624 -8.710476 14.52399 + 1804 | 5.225885 5.885271 0.89 0.375 -6.321987 16.77376 + 1806 | 5.322732 5.402867 0.99 0.325 -5.278584 15.92405 + 1807 | -2.511166 5.142146 -0.49 0.625 -12.60091 7.578572 + 1808 | 17.11971 13.38995 1.28 0.201 -9.153583 43.393 + 1899 | -12.54629 5.794665 -2.17 0.031 -23.91638 -1.176205 + 1900 | -1.140203 6.011102 -0.19 0.850 -12.93498 10.65457 + 1901 | 5.877533 5.62199 1.05 0.296 -5.15374 16.90881 + 1902 | 17.39563 9.067511 1.92 0.055 -.396327 35.18758 + 1905 | 20.378 10.75608 1.89 0.058 -.7271986 41.48319 + 1906 | 13.71252 6.966443 1.97 0.049 .0432098 27.38183 + 1907 | 6.83971 6.020418 1.14 0.256 -4.973344 18.65276 + 1908 | 9.001489 9.839088 0.91 0.360 -10.30443 28.3074 + 1909 | 6.42792 6.026261 1.07 0.286 -5.396598 18.25244 + 1910 | 14.77811 11.16173 1.32 0.186 -7.123053 36.67926 + 1911 | 4.803105 7.274212 0.66 0.509 -9.470099 19.07631 + 1912 | -2.279925 5.542574 -0.41 0.681 -13.15537 8.59552 + 1914 | 3.996671 5.862072 0.68 0.496 -7.505682 15.49902 + 1915 | -8.829765 6.5207 -1.35 0.176 -21.62445 3.964924 + 1919 | 5.370543 5.543848 0.97 0.333 -5.507402 16.24849 + 1920 | 38.82021 10.70569 3.63 0.000 17.81388 59.82653 + 1925 | 20.34008 7.087424 2.87 0.004 6.43338 34.24677 + 1926 | 10.03766 6.111578 1.64 0.101 -1.954264 22.02959 + 1927 | 6.226621 5.774172 1.08 0.281 -5.103257 17.5565 + 1929 | 15.92248 8.116809 1.96 0.050 -.0040425 31.84899 + 1999 | 1.871304 5.505087 0.34 0.734 -8.930585 12.67319 + 2000 | 5.688162 5.539035 1.03 0.305 -5.180339 16.55666 + 2001 | 8.118664 6.618449 1.23 0.220 -4.867824 21.10515 + 2002 | 10.27201 6.039655 1.70 0.089 -1.57879 22.12281 + 2003 | 20.25135 8.372665 2.42 0.016 3.822804 36.67991 + 2004 | 7.627094 5.758168 1.32 0.186 -3.671382 18.92557 + 2005 | 37.88338 33.98987 1.11 0.265 -28.81035 104.5771 + 2006 | 82.51166 11.7445 7.03 0.000 59.46701 105.5563 + 2007 | 12.56653 8.900716 1.41 0.158 -4.898141 30.03121 + 2008 | 7.759523 5.369407 1.45 0.149 -2.77614 18.29519 + 2009 | 3.835273 6.629398 0.58 0.563 -9.172699 16.84325 + 2011 | 7.30908 5.353729 1.37 0.172 -3.195819 17.81398 + 2012 | 6.970031 6.083586 1.15 0.252 -4.966969 18.90703 + 2013 | 7.255047 6.473051 1.12 0.263 -5.446148 19.95624 + 2014 | 4.277431 6.286891 0.68 0.496 -8.058486 16.61335 + 2015 | -1.286425 6.409823 -0.20 0.841 -13.86356 11.29071 + 2030 | 31.90511 13.75182 2.32 0.021 4.921762 58.88846 + 2099 | 11.82526 8.612469 1.37 0.170 -5.073823 28.72435 + 2100 | 5.267009 6.800546 0.77 0.439 -8.076784 18.6108 + 2101 | 8.940597 5.451012 1.64 0.101 -1.755187 19.63638 + 2102 | 1.914415 5.190943 0.37 0.712 -8.271071 12.0999 + 2103 | 2.649106 5.285595 0.50 0.616 -7.722103 13.02031 + 2104 | .2156107 5.181645 0.04 0.967 -9.951632 10.38285 + 2105 | 9.175011 6.653463 1.38 0.168 -3.880181 22.2302 + 2199 | -4.840716 5.619757 -0.86 0.389 -15.86761 6.186175 + 9999 | 39.13322 19.95124 1.96 0.050 -.0143981 78.28084 + | + house_administration | .5431885 2.387212 0.23 0.820 -4.140915 5.227292 + house_agriculture | 3.448814 1.961509 1.76 0.079 -.3999902 7.297619 + house_appropriations | -6.316263 2.03606 -3.10 0.002 -10.31135 -2.321177 + house_armedservices | 6.547416 2.712246 2.41 0.016 1.225542 11.86929 + house_budget | 16.10866 4.74575 3.39 0.001 6.796712 25.4206 + house_dc | 3.84861 4.197705 0.92 0.359 -4.387979 12.0852 + house_educlabor | -1.768528 1.512616 -1.17 0.243 -4.736531 1.199474 + house_energycommerce | 6.153887 1.212865 5.07 0.000 3.774046 8.533728 + house_foreignaffairs | 3.408086 1.931723 1.76 0.078 -.3822735 7.198445 + house_governmentop | 13.25996 3.600632 3.68 0.000 6.19492 20.32499 + house_intelligence | -9.434574 3.701709 -2.55 0.011 -16.69794 -2.171211 + house_interior | 3.134472 1.806396 1.74 0.083 -.4099753 6.67892 + house_judiciary | 4.187166 1.212181 3.45 0.001 1.808666 6.565666 + house_mmf | 4.84794 2.352622 2.06 0.040 .2317085 9.464172 + house_pocs | 3.892691 3.129059 1.24 0.214 -2.247038 10.03242 + house_pwt | 5.529318 2.035505 2.72 0.007 1.535321 9.523316 + house_rules | 2.88981 2.278312 1.27 0.205 -1.580614 7.360235 + house_sst | -.5526753 3.541119 -0.16 0.876 -7.500935 6.395585 + house_smallbusi | -2.847958 2.794082 -1.02 0.308 -8.330407 2.634492 + house_soc | -8.64865 4.65819 -1.86 0.064 -17.78879 .4914882 + house_veterans | -.7321611 2.714563 -0.27 0.787 -6.058582 4.594259 + house_waysandmeans | 4.373379 1.083588 4.04 0.000 2.247199 6.499558 +house_naturalresources | 3.156504 1.788874 1.76 0.078 -.3535613 6.666569 + house_bfs | -.3924885 1.618571 -0.24 0.808 -3.568392 2.783416 + house_eeo | -.6188522 4.607058 -0.13 0.893 -9.65866 8.420956 + house_govreform | 3.683969 2.015031 1.83 0.068 -.2698538 7.637792 + house_ir | 6.044365 1.994607 3.03 0.003 2.130616 9.958114 + house_natsecur | 10.26087 6.427433 1.60 0.111 -2.350812 22.87256 + house_oversight | 3.036863 3.239052 0.94 0.349 -3.318691 9.392418 + house_resources | -.2587822 1.345013 -0.19 0.847 -2.89792 2.380356 + house_science | -.171851 2.379321 -0.07 0.942 -4.840472 4.49677 + house_transp | 6.149699 1.694863 3.63 0.000 2.824099 9.475299 + house_homeland | .0832306 2.820135 0.03 0.976 -5.450339 5.616801 + sponsor_democrat | 0 (omitted) + sponsor_rookie | 0 (omitted) + sponsor_tenure_run | -.0976929 .1548448 -0.63 0.528 -.4015239 .2061382 + sponsor_age | .0535407 .0455416 1.18 0.240 -.0358195 .1429008 + leader | -.5669474 .7816958 -0.73 0.468 -2.100764 .9668687 + ivycoll | 1.437015 1.392459 1.03 0.302 -1.295219 4.169249 + black | 0 (omitted) + occ0 | 6.493243 1.504556 4.32 0.000 3.541055 9.44543 + occ1 | 3.558959 1.536329 2.32 0.021 .5444279 6.573491 + occ2 | 2.19173 1.221823 1.79 0.073 -.2056873 4.589148 + occ3 | -1.69737 1.665382 -1.02 0.308 -4.965125 1.570385 + occ4 | 3.519264 1.230909 2.86 0.004 1.104017 5.934511 + borninstate | 1.811265 .7824368 2.31 0.021 .275995 3.346535 + tot_bills | -.1675114 .0285844 -5.86 0.000 -.2235987 -.1114241 + NE | -1.898815 1.148953 -1.65 0.099 -4.15325 .3556204 + MW | -1.825044 1.073088 -1.70 0.089 -3.930619 .2805315 + WE | -1.140754 1.412606 -0.81 0.420 -3.91252 1.631011 + pct_black | -1.253723 6.001986 -0.21 0.835 -13.03061 10.52316 + pct_urban | -3.443451 2.983929 -1.15 0.249 -9.298413 2.411511 + pct_for_born | 15.46918 9.102792 1.70 0.090 -2.392001 33.33036 + pct_age_over65 | 17.68965 10.07556 1.76 0.079 -2.080261 37.45956 + lninc | 8.483364 3.307312 2.57 0.010 1.993873 14.97286 + lnpden | -.0999265 .4002154 -0.25 0.803 -.8852152 .6853622 + _cons | -88.66705 32.69225 -2.71 0.007 -152.8146 -24.51947 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,080 1 0 1 1 + + +j = 2 k = 1 + + +rdbwselect_2014 numb_cosponsors MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11990 +----------------------+---------------------- NN matches = 3 + Number of obs | 6151 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 25.22792 46.13311 .5468506 +---------------------------------------------- +reg numb_cosponsors sponsor_female i.v2 MV1_female femaleXMV1_female if tag_bill==1 & sample==1 & abs(MV1_female)<=25.22792045028391 & tenured==1, robust cluster(gr +> oup_sponsor) + +Linear regression Number of obs = 1,852 + F(13, 119) = 2.96 + Prob > F = 0.0009 + R-squared = 0.0160 + Root MSE = 35.802 + + (Std. Err. adjusted for 120 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.8047606 5.117823 -0.16 0.875 -10.93856 9.329041 + | + v2 | + 102 | 4.182278 2.559512 1.63 0.105 -.8858111 9.250367 + 103 | 2.59659 3.182565 0.82 0.416 -3.705207 8.898386 + 104 | 1.37234 2.702785 0.51 0.613 -3.979444 6.724124 + 105 | 9.487532 5.470367 1.73 0.085 -1.344341 20.31941 + 106 | 6.568694 5.247127 1.25 0.213 -3.821141 16.95853 + 107 | 10.08593 4.032457 2.50 0.014 2.101266 18.0706 + 108 | 8.504821 3.006282 2.83 0.005 2.552083 14.45756 + 109 | 3.07035 2.581644 1.19 0.237 -2.041563 8.182262 + 110 | 3.066956 4.224875 0.73 0.469 -5.29872 11.43263 + 111 | 8.197096 3.364664 2.44 0.016 1.534726 14.85947 + | + MV1_female | .2745228 .191385 1.43 0.154 -.1044386 .6534842 +femaleXMV1_female | -.0682601 .3625742 -0.19 0.851 -.7861933 .649673 + _cons | 14.25512 3.916085 3.64 0.000 6.500885 22.00936 +----------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 120 1 0 1 1 + + +j = 2 k = 2 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6187 +----------------------+---------------------- NN matches = 3 + Number of obs | 2193 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 29.70309 50.99673 .5824509 +---------------------------------------------- +reg numb_cosponsors sponsor_female i.v2 MV1_female femaleXMV1_female if sponsor_party==100 & tag_bill==1 & sample==1 & abs(MV1_female)<=29.70309229792696 & tenured= +> =1, robust cluster(group_sponsor) + +Linear regression Number of obs = 805 + F(12, 51) = 4.89 + Prob > F = 0.0000 + R-squared = 0.0498 + Root MSE = 30.936 + + (Std. Err. adjusted for 52 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -7.576838 7.16156 -1.06 0.295 -21.95427 6.800594 + | + v2 | + 102 | 3.873195 3.963636 0.98 0.333 -4.084137 11.83053 + 103 | 3.917299 3.578098 1.09 0.279 -3.266034 11.10063 + 104 | 2.162391 3.441189 0.63 0.533 -4.746084 9.070866 + 105 | 21.52125 7.954062 2.71 0.009 5.552802 37.48969 + 107 | -11.67031 4.342111 -2.69 0.010 -20.38746 -2.953156 + 108 | 13.77793 4.087622 3.37 0.001 5.571682 21.98417 + 109 | 4.695151 5.33154 0.88 0.383 -6.008362 15.39866 + 110 | 3.771147 3.970022 0.95 0.347 -4.199005 11.7413 + 111 | -2.189967 4.135358 -0.53 0.599 -10.49204 6.11211 + | + MV1_female | .0429312 .2588188 0.17 0.869 -.4766691 .5625316 +femaleXMV1_female | .6338217 .3947139 1.61 0.114 -.1585996 1.426243 + _cons | 10.02991 5.471977 1.83 0.073 -.9555441 21.01536 +----------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 52 1 0 1 1 + + +j = 2 k = 3 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 13.03771 22.75762 .5728944 +---------------------------------------------- +reg numb_cosponsors sponsor_female i.v2 MV1_female femaleXMV1_female if sponsor_party==200 & tag_bill==1 & sample==1 & abs(MV1_female)<=13.03771312569015 & tenured= +> =1, robust cluster(group_sponsor) + +Linear regression Number of obs = 410 + F(9, 25) = . + Prob > F = . + R-squared = 0.0627 + Root MSE = 37.55 + + (Std. Err. adjusted for 26 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -4.079765 5.517471 -0.74 0.467 -15.44321 7.28368 + | + v2 | + 102 | -9.456305 1.885957 -5.01 0.000 -13.34051 -5.572104 + 103 | -9.126763 4.62423 -1.97 0.060 -18.65054 .3970162 + 105 | -1.853385 .4436546 -4.18 0.000 -2.767109 -.9396614 + 106 | -28.90532 1.988756 -14.53 0.000 -33.00124 -24.80941 + 107 | -3.28143 2.373806 -1.38 0.179 -8.170375 1.607516 + 108 | 14.33744 3.930259 3.65 0.001 6.242918 22.43196 + 109 | 3.197606 1.857689 1.72 0.098 -.6283752 7.023588 + 110 | -19.78592 3.479871 -5.69 0.000 -26.95285 -12.619 + 111 | -6.526561 .869342 -7.51 0.000 -8.317004 -4.736117 + | + MV1_female | 2.46843 .2343082 10.53 0.000 1.985863 2.950996 +femaleXMV1_female | -4.483415 .7604301 -5.90 0.000 -6.04955 -2.91728 + _cons | 42.42099 2.337072 18.15 0.000 37.6077 47.23428 +----------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 26 1 0 1 1 + + +j = 3 k = 1 + + +rdbwselect_2014 numb_cosponsors MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11990 +----------------------+---------------------- NN matches = 3 + Number of obs | 6151 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 25.22792 46.13311 .5468506 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(56,020 missing values generated) +(59,211 missing values generated) +(3,191 real changes made) +reg numb_cosponsors sponsor_female i.v2 MV1_female femaleXMV1_female i.minor house_* [aw=wt] if tag_bill==1 & sample==1 & tenured==1 & abs(MV1_female)<=25.227920450 +> 28391, robust cluster(group_sponsor) +(sum of wgt is 3,496.52049052715) + +Linear regression Number of obs = 1,852 + F(118, 119) = . + Prob > F = . + R-squared = 0.2496 + Root MSE = 34.631 + + (Std. Err. adjusted for 120 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -1.16764 5.139574 -0.23 0.821 -11.34451 9.009231 + | + v2 | + 102 | -1.677466 2.897598 -0.58 0.564 -7.414999 4.060067 + 103 | -3.645282 4.366747 -0.83 0.406 -12.29188 5.001314 + 104 | -1.231436 4.613144 -0.27 0.790 -10.36592 7.90305 + 105 | 3.058579 4.01215 0.76 0.447 -4.885878 11.00304 + 106 | .2529213 4.159482 0.06 0.952 -7.983268 8.489111 + 107 | 6.084076 4.943359 1.23 0.221 -3.704269 15.87242 + 108 | 2.732703 4.200949 0.65 0.517 -5.585595 11.051 + 109 | -3.073587 3.698855 -0.83 0.408 -10.39769 4.250515 + 110 | -1.367203 4.814166 -0.28 0.777 -10.89973 8.165326 + 111 | 2.171778 5.178265 0.42 0.676 -8.081705 12.42526 + | + MV1_female | .2284601 .1761754 1.30 0.197 -.1203848 .577305 + femaleXMV1_female | -.1905259 .3439282 -0.55 0.581 -.8715381 .4904863 + | + minor | + 101 | 32.66095 11.02786 2.96 0.004 10.82468 54.49722 + 103 | 10.42656 9.753961 1.07 0.287 -8.887253 29.74038 + 104 | 20.3518 11.02338 1.85 0.067 -1.475597 42.1792 + 105 | 1.92338 8.913688 0.22 0.830 -15.72661 19.57337 + 107 | 18.60502 9.151816 2.03 0.044 .4835087 36.72653 + 108 | 2.194851 10.14875 0.22 0.829 -17.9007 22.2904 + 200 | 7.982804 12.66026 0.63 0.530 -17.08578 33.05139 + 201 | 21.72388 12.61209 1.72 0.088 -3.249324 46.69709 + 202 | 111.2827 10.83358 10.27 0.000 89.83113 132.7343 + 204 | 13.8108 13.94785 0.99 0.324 -13.80734 41.42894 + 205 | 85.59393 70.65609 1.21 0.228 -54.31218 225.5 + 206 | -8.845354 10.09148 -0.88 0.383 -28.82749 11.13679 + 207 | 29.54722 17.91199 1.65 0.102 -5.920317 65.01475 + 208 | 45.00924 25.33144 1.78 0.078 -5.149531 95.16802 + 300 | 59.17537 47.91238 1.24 0.219 -35.69593 154.0467 + 301 | 18.51799 13.09664 1.41 0.160 -7.414659 44.45064 + 302 | 36.17818 15.77323 2.29 0.024 4.945606 67.41076 + 321 | 6.482512 10.76094 0.60 0.548 -14.82523 27.79025 + 322 | 14.43669 11.14734 1.30 0.198 -7.636164 36.50954 + 323 | 36.69951 40.72979 0.90 0.369 -43.94954 117.3486 + 324 | 8.318318 10.85724 0.77 0.445 -13.18011 29.81674 + 325 | 32.39223 21.24209 1.52 0.130 -9.669223 74.45369 + 331 | 40.05179 15.19402 2.64 0.010 9.966114 70.13746 + 332 | 21.37217 10.91955 1.96 0.053 -.2496386 42.99397 + 333 | 28.03006 15.37179 1.82 0.071 -2.407631 58.46774 + 334 | 53.62437 23.76741 2.26 0.026 6.562533 100.6862 + 335 | 4.211573 10.60506 0.40 0.692 -16.78751 25.21066 + 336 | 32.51854 11.78801 2.76 0.007 9.177109 55.85998 + 341 | 17.35013 12.79002 1.36 0.177 -7.9754 42.67565 + 343 | 12.86754 12.28642 1.05 0.297 -11.4608 37.19589 + 398 | 38.7682 14.99217 2.59 0.011 9.082202 68.4542 + 399 | 25.90029 14.40982 1.80 0.075 -2.632602 54.43318 + 400 | 1.035703 11.47407 0.09 0.928 -21.6841 23.75551 + 401 | 6.32448 12.02517 0.53 0.600 -17.48656 30.13552 + 402 | 3.754448 10.13497 0.37 0.712 -16.3138 23.8227 + 403 | 9.266007 10.74449 0.86 0.390 -12.00915 30.54117 + 404 | 1.501835 12.16468 0.12 0.902 -22.58544 25.58911 + 405 | 5.755157 12.21616 0.47 0.638 -18.43406 29.94438 + 498 | -8.285202 15.23035 -0.54 0.587 -38.44281 21.87241 + 499 | -4.187284 11.83937 -0.35 0.724 -27.63042 19.25586 + 500 | 1.536967 13.1262 0.12 0.907 -24.45422 27.52815 + 501 | 16.13277 12.00533 1.34 0.182 -7.63898 39.90451 + 502 | 31.16296 17.86779 1.74 0.084 -4.217047 66.54298 + 503 | 27.72998 14.18693 1.95 0.053 -.3615694 55.82152 + 504 | 67.35445 16.21171 4.15 0.000 35.25365 99.45525 + 505 | 44.0754 16.67767 2.64 0.009 11.05195 77.09885 + 506 | 15.31728 11.29169 1.36 0.178 -7.04139 37.67595 + 508 | 14.25312 10.07088 1.42 0.160 -5.68823 34.19446 + 530 | 6.751953 10.28746 0.66 0.513 -13.61825 27.12216 + 599 | 11.45806 12.57271 0.91 0.364 -13.43716 36.35329 + 600 | 16.32023 11.46855 1.42 0.157 -6.388651 39.0291 + 601 | 8.806936 10.2301 0.86 0.391 -11.44969 29.06356 + 602 | 20.78705 12.88056 1.61 0.109 -4.717738 46.29183 + 603 | 8.199238 13.20845 0.62 0.536 -17.95481 34.35329 + 604 | 7.890834 10.29522 0.77 0.445 -12.49474 28.27641 + 606 | 2.952762 10.98958 0.27 0.789 -18.80771 24.71323 + 607 | 7.161764 10.02835 0.71 0.477 -12.69538 27.01891 + 609 | 21.99322 16.28677 1.35 0.179 -10.2562 54.24265 + 698 | 8.083183 12.96859 0.62 0.534 -17.59591 33.76228 + 699 | 16.28474 11.2642 1.45 0.151 -6.019497 38.58898 + 700 | 23.94995 22.99103 1.04 0.300 -21.57459 69.47449 + 701 | 6.138943 9.976994 0.62 0.540 -13.6165 25.89439 + 703 | 15.37589 12.68074 1.21 0.228 -9.73324 40.48503 + 704 | 9.843656 10.25288 0.96 0.339 -10.45806 30.14537 + 705 | 6.539779 10.57196 0.62 0.537 -14.39376 27.47332 + 707 | 4.658616 10.08474 0.46 0.645 -15.31017 24.6274 + 708 | 5.46482 10.43051 0.52 0.601 -15.18863 26.11827 + 709 | 23.88561 10.79234 2.21 0.029 2.515697 45.25552 + 710 | 10.71784 9.617254 1.11 0.267 -8.325279 29.76097 + 711 | 15.62519 10.78302 1.45 0.150 -5.726279 36.97665 + 798 | 5.483104 10.08031 0.54 0.587 -14.47693 25.44313 + 799 | 7.108439 9.622996 0.74 0.462 -11.94606 26.16293 + 800 | 1.19501 12.91014 0.09 0.926 -24.36836 26.75838 + 801 | 9.723428 10.67626 0.91 0.364 -11.41663 30.86348 + 802 | 8.797017 10.48622 0.84 0.403 -11.96675 29.56078 + 803 | 21.86457 15.02245 1.46 0.148 -7.881394 51.61053 + 805 | 11.41239 9.90154 1.15 0.251 -8.193653 31.01842 + 806 | 10.17259 11.11851 0.91 0.362 -11.84317 32.18836 + 807 | 21.95585 11.72538 1.87 0.064 -1.261572 45.17326 + 898 | -1.438069 9.868074 -0.15 0.884 -20.97784 18.1017 + 1000 | 5.926802 16.15743 0.37 0.714 -26.06652 37.92012 + 1001 | 25.1447 15.76969 1.59 0.113 -6.080858 56.37025 + 1002 | 2.154271 11.13161 0.19 0.847 -19.88742 24.19596 + 1003 | 14.30158 10.54674 1.36 0.178 -6.582018 35.18518 + 1005 | 10.68848 11.16469 0.96 0.340 -11.41872 32.79567 + 1006 | 26.78141 18.27407 1.47 0.145 -9.40307 62.9659 + 1007 | 23.01872 14.6019 1.58 0.118 -5.894512 51.93195 + 1010 | 5.984723 9.990914 0.60 0.550 -13.79828 25.76773 + 1098 | -3.881787 12.68306 -0.31 0.760 -28.99552 21.23195 + 1201 | 9.631309 15.51553 0.62 0.536 -21.09099 40.35361 + 1202 | 11.84168 13.06065 0.91 0.366 -14.01971 37.70307 + 1203 | .1736324 10.28574 0.02 0.987 -20.19317 20.54043 + 1204 | -4.497111 10.837 -0.41 0.679 -25.95546 16.96124 + 1205 | -13.47874 10.87206 -1.24 0.218 -35.00651 8.049033 + 1207 | 25.45102 16.77245 1.52 0.132 -7.760094 58.66214 + 1208 | 9.640479 11.24812 0.86 0.393 -12.63192 31.91288 + 1209 | 13.59488 12.76096 1.07 0.289 -11.67311 38.86286 + 1210 | 69.87722 66.70245 1.05 0.297 -62.20028 201.9547 + 1211 | 234.9668 11.63762 20.19 0.000 211.9232 258.0105 + 1300 | 26.31436 15.76652 1.67 0.098 -4.904924 57.53364 + 1301 | 20.16292 11.74723 1.72 0.089 -3.097772 43.4236 + 1302 | 22.40868 15.22303 1.47 0.144 -7.734437 52.55179 + 1303 | 20.6991 11.84008 1.75 0.083 -2.745429 44.14363 + 1304 | 34.30964 29.3035 1.17 0.244 -23.71422 92.33349 + 1305 | 18.72829 10.71546 1.75 0.083 -2.489393 39.94597 + 1400 | 13.62179 10.49349 1.30 0.197 -7.156371 34.39995 + 1401 | 24.02676 18.09423 1.33 0.187 -11.80162 59.85513 + 1403 | 19.99488 10.77839 1.86 0.066 -1.347405 41.33716 + 1404 | 8.403762 9.913141 0.85 0.398 -11.22525 28.03277 + 1405 | 15.28885 9.48 1.61 0.109 -3.4825 34.06019 + 1406 | 2.523301 12.3009 0.21 0.838 -21.83371 26.88031 + 1407 | 11.33243 12.2339 0.93 0.356 -12.89191 35.55678 + 1408 | 7.544929 10.42118 0.72 0.470 -13.09005 28.17991 + 1409 | 69.29799 34.7403 1.99 0.048 .5087214 138.0873 + 1410 | 8.537997 10.36857 0.82 0.412 -11.99282 29.06881 + 1500 | 41.81196 40.87976 1.02 0.308 -39.13405 122.758 + 1501 | 22.79216 14.05172 1.62 0.107 -5.031654 50.61598 + 1502 | 24.31473 21.48225 1.13 0.260 -18.22226 66.85173 + 1504 | 15.88691 11.3821 1.40 0.165 -6.650777 38.4246 + 1505 | 12.12154 10.17221 1.19 0.236 -8.020446 32.26353 + 1520 | 1.816352 9.757355 0.19 0.853 -17.50419 21.13689 + 1521 | 19.99574 11.50162 1.74 0.085 -2.778615 42.7701 + 1522 | -7.773297 10.27435 -0.76 0.451 -28.11754 12.57094 + 1523 | 11.62386 10.86021 1.07 0.287 -9.88044 33.12817 + 1524 | .0134511 10.36551 0.00 0.999 -20.51129 20.53819 + 1525 | 8.76692 10.42023 0.84 0.402 -11.86617 29.40001 + 1526 | 39.98441 33.48654 1.19 0.235 -26.32228 106.2911 + 1600 | 1.919038 15.40509 0.12 0.901 -28.58457 32.42265 + 1603 | 13.23099 23.62918 0.56 0.577 -33.55714 60.01912 + 1604 | 17.7258 10.20913 1.74 0.085 -2.489299 37.9409 + 1605 | 11.26893 10.27404 1.10 0.275 -9.074706 31.61256 + 1608 | -.3546987 12.36492 -0.03 0.977 -24.83847 24.12907 + 1609 | 34.67117 13.23549 2.62 0.010 8.463584 60.87876 + 1611 | -5.015468 14.39963 -0.35 0.728 -33.52816 23.49723 + 1612 | 21.38802 11.08382 1.93 0.056 -.5590423 43.33509 + 1614 | 1.112696 10.77964 0.10 0.918 -20.23207 22.45746 + 1615 | 22.41936 14.71536 1.52 0.130 -6.71852 51.55723 + 1616 | 2.74517 11.74639 0.23 0.816 -20.51385 26.00419 + 1617 | -19.22661 13.07633 -1.47 0.144 -45.11905 6.665822 + 1619 | 12.43032 11.46663 1.08 0.281 -10.27474 35.13539 + 1620 | -16.55366 13.37552 -1.24 0.218 -43.03852 9.931201 + 1698 | -15.71264 13.04989 -1.20 0.231 -41.55273 10.12745 + 1699 | -8.193625 10.98262 -0.75 0.457 -29.9403 13.55305 + 1700 | -2.496103 11.55049 -0.22 0.829 -25.36723 20.37502 + 1701 | -.3447956 11.08338 -0.03 0.975 -22.291 21.60141 + 1704 | 11.36327 9.186741 1.24 0.219 -6.827394 29.55394 + 1706 | 31.0491 22.53733 1.38 0.171 -13.57707 75.67527 + 1707 | 19.14505 12.70269 1.51 0.134 -6.00754 44.29764 + 1708 | 22.36575 15.70406 1.42 0.157 -8.729865 53.46136 + 1709 | -.7596911 10.79424 -0.07 0.944 -22.13337 20.61399 + 1798 | 11.02305 11.67578 0.94 0.347 -12.09615 34.14225 + 1800 | 6.228506 10.67164 0.58 0.561 -14.90241 27.35942 + 1802 | 8.082556 10.39869 0.78 0.439 -12.50789 28.673 + 1803 | 14.40679 12.0621 1.19 0.235 -9.477364 38.29095 + 1804 | 4.57125 9.954644 0.46 0.647 -15.13994 24.28244 + 1806 | 17.19306 11.25449 1.53 0.129 -5.091947 39.47806 + 1807 | 6.085362 12.00888 0.51 0.613 -17.69342 29.86415 + 1808 | 5.042865 11.23198 0.45 0.654 -17.19758 27.28331 + 1900 | 41.84924 33.85073 1.24 0.219 -25.17859 108.8771 + 1901 | 6.495865 10.18836 0.64 0.525 -13.6781 26.66983 + 1902 | 4.526186 9.853703 0.46 0.647 -14.98513 24.0375 + 1905 | 80.43269 56.74194 1.42 0.159 -31.92201 192.7874 + 1906 | 31.43034 20.81377 1.51 0.134 -9.783005 72.64368 + 1907 | 20.29608 10.91863 1.86 0.066 -1.323889 41.91605 + 1909 | -9.723471 11.45913 -0.85 0.398 -32.4137 12.96675 + 1910 | 35.63395 23.98698 1.49 0.140 -11.86266 83.13056 + 1911 | 60.3952 15.16363 3.98 0.000 30.3697 90.4207 + 1912 | 19.71419 12.68493 1.55 0.123 -5.403237 44.83161 + 1914 | 6.1279 11.53957 0.53 0.596 -16.72159 28.97739 + 1915 | -8.797607 14.13021 -0.62 0.535 -36.77683 19.18162 + 1919 | 15.82721 12.05984 1.31 0.192 -8.052482 39.7069 + 1920 | 33.2339 14.13309 2.35 0.020 5.248978 61.21883 + 1925 | 37.41264 15.22701 2.46 0.015 7.261639 67.56364 + 1926 | 19.1863 13.29084 1.44 0.151 -7.130892 45.50349 + 1927 | 3.168274 11.56712 0.27 0.785 -19.73577 26.07232 + 1929 | -11.75107 12.12429 -0.97 0.334 -35.75838 12.25623 + 2000 | 11.87891 11.46663 1.04 0.302 -10.82616 34.58399 + 2001 | 6.776275 14.92423 0.45 0.651 -22.7752 36.32775 + 2002 | 19.74128 16.48216 1.20 0.233 -12.89503 52.37759 + 2003 | 99.90524 36.47428 2.74 0.007 27.68253 172.128 + 2004 | 12.50736 12.32824 1.01 0.312 -11.90378 36.9185 + 2005 | 5.476144 18.82384 0.29 0.772 -31.79693 42.74922 + 2006 | 72.41586 32.21926 2.25 0.026 8.618515 136.2132 + 2007 | 5.32305 19.65349 0.27 0.787 -33.59283 44.23893 + 2008 | 12.3906 10.2521 1.21 0.229 -7.909589 32.69079 + 2009 | 9.665879 11.08438 0.87 0.385 -12.2823 31.61405 + 2011 | 6.138899 11.45391 0.54 0.593 -16.54099 28.81879 + 2012 | 4.063862 15.10315 0.27 0.788 -25.84189 33.96961 + 2014 | -4.580066 10.91254 -0.42 0.675 -26.18799 17.02786 + 2015 | -3.899552 11.21174 -0.35 0.729 -26.09992 18.30082 + 2030 | 102.1774 48.56813 2.10 0.038 6.00765 198.3471 + 2099 | 2.886459 11.23061 0.26 0.798 -19.35128 25.1242 + 2100 | 4.069023 12.91645 0.32 0.753 -21.50685 29.64489 + 2101 | 17.89382 10.55791 1.69 0.093 -3.011894 38.79954 + 2102 | 11.43781 9.696629 1.18 0.241 -7.762489 30.6381 + 2103 | 14.62944 10.00399 1.46 0.146 -5.179456 34.43834 + 2104 | 13.078 9.750976 1.34 0.182 -6.229902 32.38591 + 2105 | 28.47371 22.61014 1.26 0.210 -16.29662 73.24405 + 9999 | -17.51042 12.77599 -1.37 0.173 -42.80817 7.78732 + | + house_administration | 2.885583 14.39294 0.20 0.841 -25.61387 31.38504 + house_agriculture | 5.591639 7.723531 0.72 0.471 -9.701722 20.885 + house_appropriations | -2.898936 6.698597 -0.43 0.666 -16.16283 10.36495 + house_armedservices | 20.0921 9.720279 2.07 0.041 .844974 39.33922 + house_budget | -1.88785 4.495249 -0.42 0.675 -10.78889 7.013193 + house_dc | 14.54914 6.141749 2.37 0.019 2.387867 26.71042 + house_educlabor | -5.01926 3.46545 -1.45 0.150 -11.8812 1.842677 + house_energycommerce | -3.5487 3.595121 -0.99 0.326 -10.6674 3.569998 + house_foreignaffairs | -.3078304 3.421225 -0.09 0.928 -7.082197 6.466536 + house_governmentop | -3.833545 6.179148 -0.62 0.536 -16.06888 8.401785 + house_intelligence | -30.20292 15.22125 -1.98 0.050 -60.34252 -.0633287 + house_interior | -9.244747 4.310614 -2.14 0.034 -17.78019 -.7093014 + house_judiciary | 9.938828 4.451866 2.23 0.027 1.123689 18.75397 + house_mmf | 1.849712 6.786315 0.27 0.786 -11.58787 15.28729 + house_pocs | -22.26994 7.097069 -3.14 0.002 -36.32284 -8.217032 + house_pwt | 6.34799 5.695034 1.11 0.267 -4.928745 17.62473 + house_rules | 1.72535 6.221669 0.28 0.782 -10.59418 14.04488 + house_sst | -1.530366 10.55476 -0.14 0.885 -22.42985 19.36912 + house_smallbusi | -14.38637 8.644375 -1.66 0.099 -31.50309 2.730358 + house_soc | -1.793223 10.81521 -0.17 0.869 -23.20841 19.62197 + house_veterans | .9286002 6.357086 0.15 0.884 -11.65906 13.51626 + house_waysandmeans | 1.489555 2.656316 0.56 0.576 -3.770215 6.749325 +house_naturalresources | -8.354023 4.660595 -1.79 0.076 -17.58247 .8744208 + house_bfs | -6.707713 4.576272 -1.47 0.145 -15.76919 2.353762 + house_eeo | -14.17173 6.716314 -2.11 0.037 -27.4707 -.8727594 + house_govreform | 1.015651 5.505892 0.18 0.854 -9.886566 11.91787 + house_ir | -3.351255 5.377723 -0.62 0.534 -13.99968 7.297173 + house_natsecur | 13.01382 10.94412 1.19 0.237 -8.65663 34.68427 + house_oversight | 12.67765 8.900981 1.42 0.157 -4.947178 30.30249 + house_resources | -9.692967 3.834752 -2.53 0.013 -17.28616 -2.099774 + house_science | 2.219485 10.91692 0.20 0.839 -19.3971 23.83607 + house_transp | -6.139386 3.697381 -1.66 0.099 -13.46057 1.181798 + house_homeland | -2.192158 11.93437 -0.18 0.855 -25.82341 21.43909 + _cons | 2.792211 9.982595 0.28 0.780 -16.97432 22.55875 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 120 1 0 1 1 + + +j = 3 k = 2 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6187 +----------------------+---------------------- NN matches = 3 + Number of obs | 2193 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 29.70309 50.99673 .5824509 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(58,851 missing values generated) +(60,100 missing values generated) +(1,249 real changes made) +reg numb_cosponsors sponsor_female i.v2 MV1_female femaleXMV1_female i.minor house_* [aw=wt] if sponsor_party==100 & tag_bill==1 & sample==1 & tenured==1 & abs(MV1_ +> female)<=29.70309229792696, robust cluster(group_sponsor) +(sum of wgt is 2,056.50323665142) +note: house_soc omitted because of collinearity + +Linear regression Number of obs = 805 + F(51, 51) = . + Prob > F = . + R-squared = 0.3464 + Root MSE = 29.3 + + (Std. Err. adjusted for 52 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -25.63911 7.927452 -3.23 0.002 -41.55414 -9.724086 + | + v2 | + 102 | -6.431085 8.29923 -0.77 0.442 -23.09248 10.23031 + 103 | -6.8216 9.413192 -0.72 0.472 -25.71937 12.07617 + 104 | -2.035133 9.166618 -0.22 0.825 -20.43789 16.36762 + 105 | 6.7703 7.726966 0.88 0.385 -8.742231 22.28283 + 107 | -22.55864 8.654554 -2.61 0.012 -39.93338 -5.183893 + 108 | 1.156937 7.088545 0.16 0.871 -13.07391 15.38779 + 109 | -7.343059 7.159796 -1.03 0.310 -21.71695 7.030831 + 110 | -8.439926 7.77579 -1.09 0.283 -24.05048 7.170624 + 111 | -17.91405 6.302392 -2.84 0.006 -30.56663 -5.261469 + | + MV1_female | .3222404 .3193957 1.01 0.318 -.3189734 .9634541 + femaleXMV1_female | .7006548 .4945803 1.42 0.163 -.2922565 1.693566 + | + minor | + 103 | -5.304627 11.11887 -0.48 0.635 -27.62668 17.01743 + 104 | 5.207798 14.10963 0.37 0.714 -23.11848 33.53407 + 105 | 19.78847 16.86126 1.17 0.246 -14.06193 53.63887 + 107 | -5.539829 9.639113 -0.57 0.568 -24.89116 13.8115 + 200 | 46.41838 47.32904 0.98 0.331 -48.59863 141.4354 + 205 | 168.8771 12.2577 13.78 0.000 144.2687 193.4854 + 206 | -4.895433 15.58466 -0.31 0.755 -36.18294 26.39208 + 207 | 54.92196 16.17121 3.40 0.001 22.4569 87.38702 + 208 | -1.277866 19.25034 -0.07 0.947 -39.92453 37.3688 + 300 | 21.8405 18.45159 1.18 0.242 -15.20261 58.88361 + 301 | -3.214494 20.21276 -0.16 0.874 -43.7933 37.36431 + 302 | 11.72629 18.48575 0.63 0.529 -25.3854 48.83799 + 321 | 52.15826 48.24481 1.08 0.285 -44.69723 149.0137 + 322 | -5.357968 10.01119 -0.54 0.595 -25.45627 14.74033 + 325 | 9.531077 14.70059 0.65 0.520 -19.98159 39.04375 + 331 | 12.63845 11.19943 1.13 0.264 -9.845341 35.12224 + 332 | 16.76626 11.69775 1.43 0.158 -6.717946 40.25046 + 333 | 30.79827 32.47349 0.95 0.347 -34.39498 95.99152 + 334 | 3.900593 15.38167 0.25 0.801 -26.97939 34.78058 + 335 | -16.08284 9.450028 -1.70 0.095 -35.05456 2.888883 + 336 | -7.859985 11.29797 -0.70 0.490 -30.5416 14.82163 + 341 | -10.30562 13.14069 -0.78 0.437 -36.68666 16.07543 + 343 | 5.050337 10.58193 0.48 0.635 -16.19377 26.29444 + 398 | 16.03787 13.12989 1.22 0.228 -10.32149 42.39723 + 399 | -23.89822 8.28426 -2.88 0.006 -40.52956 -7.266872 + 401 | 12.79162 14.44189 0.89 0.380 -16.20168 41.78492 + 402 | 6.108253 11.25028 0.54 0.590 -16.47764 28.69414 + 403 | -7.141217 12.85568 -0.56 0.581 -32.95006 18.66763 + 404 | 3.566252 13.70662 0.26 0.796 -23.95094 31.08345 + 405 | 8.415577 18.54283 0.45 0.652 -28.81071 45.64186 + 498 | 13.50696 17.60021 0.77 0.446 -21.82693 48.84085 + 499 | -16.47114 14.72199 -1.12 0.268 -46.02677 13.08449 + 500 | .0463897 23.94374 0.00 0.998 -48.02266 48.11544 + 501 | 14.74441 10.69332 1.38 0.174 -6.72332 36.21213 + 502 | -2.270793 11.80597 -0.19 0.848 -25.97227 21.43068 + 503 | -14.70784 9.872642 -1.49 0.142 -34.52799 5.11232 + 504 | 15.89631 19.475 0.82 0.418 -23.20138 54.99401 + 505 | 18.14885 19.55456 0.93 0.358 -21.10856 57.40626 + 506 | 16.51508 18.18764 0.91 0.368 -19.99814 53.0283 + 508 | 9.222265 18.72889 0.49 0.625 -28.37755 46.82208 + 530 | 6.213194 15.68033 0.40 0.694 -25.26638 37.69277 + 600 | -1.443692 3.683158 -0.39 0.697 -8.83794 5.950556 + 601 | .5887566 8.008266 0.07 0.942 -15.48851 16.66602 + 602 | 11.68079 8.721667 1.34 0.186 -5.828684 29.19027 + 603 | -1.222358 9.526807 -0.13 0.898 -20.34822 17.9035 + 604 | -14.1165 7.468295 -1.89 0.064 -29.10973 .8767263 + 607 | -10.79269 7.910326 -1.36 0.178 -26.67333 5.087956 + 698 | -18.86964 14.9567 -1.26 0.213 -48.89647 11.15718 + 700 | 69.60584 11.85638 5.87 0.000 45.80316 93.40853 + 701 | -23.791 15.38425 -1.55 0.128 -54.67618 7.094176 + 703 | .8917777 16.14022 0.06 0.956 -31.51107 33.29462 + 704 | -11.35675 10.82887 -1.05 0.299 -33.09662 10.38312 + 705 | -21.10169 12.14261 -1.74 0.088 -45.479 3.27562 + 707 | -32.2762 12.00781 -2.69 0.010 -56.38288 -8.169524 + 708 | -16.39416 11.85638 -1.38 0.173 -40.19684 7.408528 + 709 | 32.98668 20.68641 1.59 0.117 -8.543026 74.51639 + 710 | 17.49952 16.75352 1.04 0.301 -16.13458 51.13363 + 711 | 21.75585 13.07236 1.66 0.102 -4.488007 47.99971 + 798 | -47.54477 15.46353 -3.07 0.003 -78.5891 -16.50043 + 799 | -4.918999 6.7014 -0.73 0.466 -18.37262 8.534622 + 801 | -9.576351 7.994117 -1.20 0.236 -25.62521 6.472508 + 802 | -11.40301 10.17722 -1.12 0.268 -31.83463 9.028608 + 803 | -4.400347 10.96525 -0.40 0.690 -26.414 17.6133 + 805 | 4.66509 12.27395 0.38 0.705 -19.9759 29.30608 + 806 | -6.039717 11.69304 -0.52 0.608 -29.51447 17.43503 + 807 | 2.076222 21.62293 0.10 0.924 -41.33362 45.48607 + 898 | -13.82424 10.55888 -1.31 0.196 -35.02208 7.373607 + 1000 | 4.254184 13.74182 0.31 0.758 -23.33367 31.84204 + 1001 | -4.592225 22.34958 -0.21 0.838 -49.46087 40.27642 + 1002 | -15.07915 18.29802 -0.82 0.414 -51.81395 21.65565 + 1003 | -2.344459 9.979445 -0.23 0.815 -22.37903 17.69011 + 1005 | -7.870325 16.03172 -0.49 0.626 -40.05535 24.3147 + 1006 | -13.81591 12.95921 -1.07 0.291 -39.83261 12.20079 + 1007 | 4.155397 14.04268 0.30 0.768 -24.03646 32.34726 + 1201 | 6.570155 18.5336 0.35 0.724 -30.63761 43.77792 + 1203 | -1.899821 12.46441 -0.15 0.879 -26.92317 23.12353 + 1204 | -1.463637 13.40981 -0.11 0.914 -28.38495 25.45767 + 1205 | 10.9563 17.79274 0.62 0.541 -24.76411 46.67672 + 1206 | -7 .0000298 -2.3e+05 0.000 -7.00006 -6.99994 + 1207 | 19.93556 17.14311 1.16 0.250 -14.48068 54.3518 + 1208 | 33.43253 28.83357 1.16 0.252 -24.45327 91.31832 + 1209 | 25.90855 16.57918 1.56 0.124 -7.37554 59.19263 + 1210 | 8.343465 18.9805 0.44 0.662 -29.76148 46.44841 + 1211 | -32.18742 18.17769 -1.77 0.083 -68.68065 4.305819 + 1300 | -10.55543 14.52553 -0.73 0.471 -39.71666 18.60579 + 1301 | 9.720816 4.92168 1.98 0.054 -.1598692 19.6015 + 1302 | 18.82174 10.67059 1.76 0.084 -2.600357 40.24384 + 1303 | 2.276833 12.63547 0.18 0.858 -23.08994 27.6436 + 1304 | -23.9682 19.68061 -1.22 0.229 -63.47867 15.54227 + 1305 | 30 .0000212 1.4e+06 0.000 29.99996 30.00004 + 1401 | -12.84126 8.90898 -1.44 0.156 -30.72678 5.044267 + 1404 | 25.82582 12.71582 2.03 0.047 .2977505 51.35389 + 1405 | -10.21363 16.8931 -0.60 0.548 -44.12795 23.7007 + 1406 | -3.678258 10.67059 -0.34 0.732 -25.10036 17.74384 + 1407 | -9.459387 14.54998 -0.65 0.519 -38.6697 19.75092 + 1408 | 6.56592 9.665187 0.68 0.500 -12.83775 25.96959 + 1409 | 17.22183 23.81656 0.72 0.473 -30.5919 65.03557 + 1410 | .9560768 13.63391 0.07 0.944 -26.41515 28.3273 + 1501 | 56.30194 29.78044 1.89 0.064 -3.484789 116.0887 + 1502 | 37.32669 28.80466 1.30 0.201 -20.50109 95.15446 + 1504 | 3.54394 11.87497 0.30 0.767 -20.29606 27.38394 + 1505 | -10.34918 13.781 -0.75 0.456 -38.01569 17.31732 + 1520 | -2.640879 13.53141 -0.20 0.846 -29.80632 24.52457 + 1521 | -7.342239 7.831058 -0.94 0.353 -23.06374 8.379266 + 1522 | -1.255247 15.49358 -0.08 0.936 -32.3599 29.84941 + 1523 | -7.480018 11.85919 -0.63 0.531 -31.28833 16.3283 + 1524 | 32.9137 26.97097 1.22 0.228 -21.23278 87.06018 + 1525 | 21.66447 19.00765 1.14 0.260 -16.49498 59.82392 + 1526 | .3299361 17.19615 0.02 0.985 -34.19277 34.85264 + 1600 | -4.58748 11.63205 -0.39 0.695 -27.9398 18.76484 + 1603 | -21.79259 10.91323 -2.00 0.051 -43.70181 .1166311 + 1605 | -3.330694 20.2618 -0.16 0.870 -44.00795 37.34656 + 1608 | 11.69716 13.56864 0.86 0.393 -15.54302 38.93733 + 1609 | 11.15754 13.28894 0.84 0.405 -15.52113 37.83621 + 1611 | 4.325512 9.910242 0.44 0.664 -15.57013 24.22115 + 1612 | -.5639756 13.2884 -0.04 0.966 -27.24155 26.1136 + 1615 | 5.906094 8.718305 0.68 0.501 -11.59663 23.40882 + 1616 | 6.135932 14.97912 0.41 0.684 -23.93591 36.20778 + 1617 | 1.826766 14.37359 0.13 0.899 -27.02943 30.68296 + 1619 | 35.49873 15.18754 2.34 0.023 5.008472 65.98899 + 1620 | -6.820371 15.91826 -0.43 0.670 -38.77762 25.13688 + 1698 | -8.799603 15.71748 -0.56 0.578 -40.35377 22.75456 + 1699 | 8.834628 15.87871 0.56 0.580 -23.04322 40.71247 + 1701 | -17.93283 16.19751 -1.11 0.273 -50.45069 14.58503 + 1706 | 2.264645 11.78149 0.19 0.848 -21.38769 25.91698 + 1707 | -19.79618 22.79317 -0.87 0.389 -65.55539 25.96302 + 1708 | 27.02917 21.13047 1.28 0.207 -15.39202 69.45036 + 1709 | 16.62401 16.77948 0.99 0.326 -17.0622 50.31022 + 1798 | 13.01224 10.60655 1.23 0.226 -8.281287 34.30578 + 1800 | 18.85129 38.34537 0.49 0.625 -58.13026 95.83284 + 1802 | -20.88588 13.34815 -1.56 0.124 -47.68342 5.911657 + 1803 | -12.86461 20.38865 -0.63 0.531 -53.79653 28.06732 + 1806 | -2.765292 9.248083 -0.30 0.766 -21.33159 15.80101 + 1807 | 10.29847 34.41025 0.30 0.766 -58.783 79.37994 + 1900 | 67.77636 21.0379 3.22 0.002 25.54102 110.0117 + 1901 | -11.01844 18.91589 -0.58 0.563 -48.99366 26.95679 + 1902 | -6.639825 15.80886 -0.42 0.676 -38.37744 25.09779 + 1905 | 118.3123 25.18643 4.70 0.000 67.74838 168.8761 + 1906 | 39.08058 18.69695 2.09 0.042 1.544897 76.61627 + 1907 | 12.21088 16.98061 0.72 0.475 -21.87912 46.30087 + 1911 | -20.53156 32.04932 -0.64 0.525 -84.87326 43.81014 + 1912 | -44.18645 30.149 -1.47 0.149 -104.7131 16.3402 + 1920 | -.7802086 12.9953 -0.06 0.952 -26.86936 25.30894 + 1925 | 66.58457 21.13386 3.15 0.003 24.15657 109.0126 + 1927 | -3.242112 17.47939 -0.19 0.854 -38.33344 31.84922 + 1929 | .2103671 16.83957 0.01 0.990 -33.59649 34.01722 + 2000 | 34.48484 14.93436 2.31 0.025 4.502851 64.46682 + 2001 | -12.51506 10.72238 -1.17 0.249 -34.04113 9.011008 + 2002 | 16.82582 12.71582 1.32 0.192 -8.702249 42.35389 + 2004 | 49.10629 31.21821 1.57 0.122 -13.56689 111.7795 + 2005 | -18.76093 29.17581 -0.64 0.523 -77.33381 39.81195 + 2006 | 49.10032 27.46494 1.79 0.080 -6.037859 104.2385 + 2007 | 9.758424 16.11442 0.61 0.547 -22.59263 42.10947 + 2008 | 1.420006 13.17552 0.11 0.915 -25.03096 27.87098 + 2011 | 14.18016 20.1289 0.70 0.484 -26.2303 54.59062 + 2012 | 13.21884 18.66778 0.71 0.482 -24.2583 50.69597 + 2014 | 4.881634 12.62636 0.39 0.701 -20.46684 30.23011 + 2100 | 37.61802 28.57619 1.32 0.194 -19.75107 94.9871 + 2101 | 8.859237 14.52339 0.61 0.545 -20.29768 38.01615 + 2102 | 10.27481 12.29792 0.84 0.407 -14.41428 34.96391 + 2103 | 3.554136 13.39623 0.27 0.792 -23.33991 30.44819 + 2104 | 5.245487 15.1953 0.35 0.731 -25.26034 35.75132 + | + house_administration | -5.519399 11.68384 -0.47 0.639 -28.97569 17.93689 + house_agriculture | -5.513919 9.423026 -0.59 0.561 -24.43143 13.4036 + house_appropriations | -5.602888 9.821495 -0.57 0.571 -25.32036 14.11459 + house_armedservices | 6.077305 10.0954 0.60 0.550 -14.19005 26.34466 + house_budget | -16.0569 11.35785 -1.41 0.164 -38.85873 6.744926 + house_dc | .077695 9.208501 0.01 0.993 -18.40914 18.56453 + house_educlabor | 8.471579 8.116082 1.04 0.301 -7.822135 24.76529 + house_energycommerce | 13.67186 7.607841 1.80 0.078 -1.60152 28.94524 + house_foreignaffairs | 26.96545 21.66273 1.24 0.219 -16.52431 70.4552 + house_governmentop | -9.491691 14.04247 -0.68 0.502 -37.68313 18.69975 + house_intelligence | 36.07365 12.96901 2.78 0.008 10.03727 62.11003 + house_interior | -7.478151 7.308701 -1.02 0.311 -22.15098 7.194678 + house_judiciary | -3.052234 9.374537 -0.33 0.746 -21.8724 15.76793 + house_mmf | -23.34824 22.98945 -1.02 0.315 -69.50149 22.805 + house_pocs | -20.35641 12.37601 -1.64 0.106 -45.20228 4.489458 + house_pwt | 21.0687 13.28293 1.59 0.119 -5.5979 47.73531 + house_rules | -14.31463 14.75269 -0.97 0.336 -43.93189 15.30264 + house_sst | -23.61928 12.38868 -1.91 0.062 -48.49058 1.252023 + house_smallbusi | 17.2128 8.301388 2.07 0.043 .5470657 33.87853 + house_soc | 0 (omitted) + house_veterans | 13.92399 5.877265 2.37 0.022 2.124884 25.72309 + house_waysandmeans | 12.58233 5.688492 2.21 0.031 1.162205 24.00245 +house_naturalresources | -4.38994 6.591541 -0.67 0.508 -17.62301 8.843131 + house_bfs | -11.29136 11.65657 -0.97 0.337 -34.6929 12.11017 + house_eeo | -1.559527 13.06464 -0.12 0.905 -27.78788 24.66883 + house_govreform | -3.644989 12.95831 -0.28 0.780 -29.65988 22.3699 + house_ir | 7.280065 15.38 0.47 0.638 -23.59657 38.1567 + house_natsecur | -13.71855 7.477788 -1.83 0.072 -28.73084 1.293737 + house_oversight | 27.88334 14.22771 1.96 0.055 -.6799851 56.44666 + house_resources | -9.760745 10.47826 -0.93 0.356 -30.79673 11.27524 + house_science | 38.65667 12.36472 3.13 0.003 13.83346 63.47988 + house_transp | 9.316182 9.391182 0.99 0.326 -9.537403 28.16977 + house_homeland | 8.640718 4.85927 1.78 0.081 -1.114674 18.39611 + _cons | 13.42838 10.65147 1.26 0.213 -7.955329 34.8121 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 52 1 0 1 1 + + +j = 3 k = 3 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 13.03771 22.75762 .5728944 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(59,713 missing values generated) +(61,541 missing values generated) +(1,828 real changes made) +reg numb_cosponsors sponsor_female i.v2 MV1_female femaleXMV1_female i.minor house_* [aw=wt] if sponsor_party==200 & tag_bill==1 & sample==1 & tenured==1 & abs(MV1_ +> female)<=13.03771312569015, robust cluster(group_sponsor) +(sum of wgt is 741.5259866714478) +note: house_dc omitted because of collinearity +note: house_intelligence omitted because of collinearity +note: house_eeo omitted because of collinearity + +Linear regression Number of obs = 405 + F(23, 24) = . + Prob > F = . + R-squared = 0.5636 + Root MSE = 34.754 + + (Std. Err. adjusted for 25 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -2.883831 15.02863 -0.19 0.849 -33.90139 28.13373 + | + v2 | + 103 | -3.345897 15.78805 -0.21 0.834 -35.93083 29.23903 + 105 | -3.194875 14.4096 -0.22 0.826 -32.93484 26.54509 + 106 | -39.95801 26.19047 -1.53 0.140 -94.01249 14.09648 + 107 | 6.784977 11.86386 0.57 0.573 -17.70084 31.27079 + 108 | 10.87145 17.46377 0.62 0.539 -25.17201 46.91491 + 109 | 6.384946 14.31323 0.45 0.660 -23.15611 35.926 + 110 | -14.48868 10.42551 -1.39 0.177 -36.00587 7.028503 + 111 | -5.960563 15.50947 -0.38 0.704 -37.97053 26.0494 + | + MV1_female | 1.078643 1.101058 0.98 0.337 -1.193829 3.351114 + femaleXMV1_female | -1.007548 2.185996 -0.46 0.649 -5.519221 3.504126 + | + minor | + 101 | 2.950101 23.43392 0.13 0.901 -45.41514 51.31534 + 104 | 30.91664 28.24424 1.09 0.285 -27.37661 89.20988 + 105 | 15.40717 20.71916 0.74 0.464 -27.35508 58.16942 + 107 | 23.2442 21.71779 1.07 0.295 -21.57912 68.06752 + 108 | -.2271084 17.54674 -0.01 0.990 -36.44179 35.98758 + 202 | 90.07856 20.2343 4.45 0.000 48.31702 131.8401 + 204 | -30.43628 41.45971 -0.73 0.470 -116.0049 55.13236 + 207 | -17.86512 27.85482 -0.64 0.527 -75.35464 39.6244 + 208 | 61.94696 29.38209 2.11 0.046 1.305309 122.5886 + 300 | 60.46246 110.1711 0.55 0.588 -166.9194 287.8443 + 301 | -11.9068 27.73798 -0.43 0.672 -69.15519 45.34158 + 302 | 37.03094 31.72496 1.17 0.255 -28.44616 102.508 + 322 | -.0853621 22.28323 -0.00 0.997 -46.07568 45.90495 + 323 | -18.33915 26.13936 -0.70 0.490 -72.28814 35.60984 + 324 | -16.05145 23.19478 -0.69 0.496 -63.92312 31.82023 + 325 | 53.45474 47.69248 1.12 0.273 -44.9777 151.8872 + 331 | 54.78608 34.40288 1.59 0.124 -16.21797 125.7901 + 332 | 7.775672 19.78996 0.39 0.698 -33.0688 48.62015 + 333 | 24.76201 25.07016 0.99 0.333 -26.98026 76.50428 + 334 | 28.98041 28.45187 1.02 0.319 -29.74135 87.70217 + 335 | -17.20402 27.38759 -0.63 0.536 -73.72923 39.32118 + 336 | 7.342131 18.72625 0.39 0.698 -31.30695 45.99121 + 343 | 22.41614 24.35978 0.92 0.367 -27.85997 72.69225 + 398 | 30.86069 27.23258 1.13 0.268 -25.3446 87.06598 + 399 | 9.866183 25.2154 0.39 0.699 -42.17585 61.90821 + 400 | -36.01123 26.54752 -1.36 0.188 -90.80262 18.78017 + 402 | -3.97556 18.10449 -0.22 0.828 -41.34139 33.39027 + 500 | -49.95622 31.48341 -1.59 0.126 -114.9348 15.02234 + 503 | 61.56713 57.21725 1.08 0.293 -56.52346 179.6577 + 506 | 3.506826 22.97496 0.15 0.880 -43.91116 50.92481 + 508 | -3.486685 14.16357 -0.25 0.808 -32.71887 25.7455 + 530 | -6.420783 28.4089 -0.23 0.823 -65.05387 52.21231 + 599 | 17.3057 18.41295 0.94 0.357 -20.69676 55.30815 + 600 | -9.97556 18.10449 -0.55 0.587 -47.34139 27.39027 + 601 | 6.906456 17.05359 0.40 0.689 -28.29042 42.10333 + 602 | 13.08341 35.97176 0.36 0.719 -61.15865 87.32548 + 606 | 2.500395 21.81771 0.11 0.910 -42.52915 47.52994 + 607 | -17.33911 23.39185 -0.74 0.466 -65.61752 30.9393 + 609 | -15.33911 23.39185 -0.66 0.518 -63.61752 32.9393 + 700 | -41.24986 35.72151 -1.15 0.260 -114.9754 32.47571 + 701 | -26.51845 21.04298 -1.26 0.220 -69.94903 16.91212 + 704 | -6.359146 20.165 -0.32 0.755 -47.97767 35.25938 + 705 | 8.346614 29.16367 0.29 0.777 -51.84424 68.53746 + 707 | -17.62325 21.63458 -0.81 0.423 -62.27483 27.02833 + 709 | 26.30843 25.35933 1.04 0.310 -26.03066 78.64751 + 710 | 9.831176 22.85101 0.43 0.671 -37.331 56.99335 + 711 | -6.721119 23.98034 -0.28 0.782 -56.21411 42.77188 + 801 | -16.91385 13.18766 -1.28 0.212 -44.13186 10.30415 + 802 | 34.30061 31.29029 1.10 0.284 -30.27936 98.88059 + 803 | 6.116075 21.23402 0.29 0.776 -37.70878 49.94093 + 806 | -2.789328 19.71885 -0.14 0.889 -43.48704 37.90838 + 807 | 17.59214 19.63283 0.90 0.379 -22.92802 58.1123 + 1002 | -45.29019 31.84362 -1.42 0.168 -111.0122 20.4318 + 1003 | 10.90061 28.46602 0.38 0.705 -47.85037 69.65158 + 1006 | 19.42062 24.09424 0.81 0.428 -30.30744 69.14868 + 1007 | -11.99848 13.77241 -0.87 0.392 -40.42333 16.42637 + 1010 | -6.159774 16.68817 -0.37 0.715 -40.60247 28.28292 + 1202 | -2.34855 28.82387 -0.08 0.936 -61.83809 57.14099 + 1207 | -37.36736 24.03455 -1.55 0.133 -86.97222 12.23751 + 1208 | 1.404316 16.70365 0.08 0.934 -33.07032 35.87896 + 1209 | -44.04191 21.04067 -2.09 0.047 -87.46771 -.616099 + 1210 | -17.7845 32.83727 -0.54 0.593 -85.55728 49.98829 + 1302 | -1.393922 18.11347 -0.08 0.939 -38.77828 35.99043 + 1303 | 11.28071 16.73327 0.67 0.507 -23.25506 45.81647 + 1304 | -8.65879 24.4651 -0.35 0.726 -59.15228 41.8347 + 1401 | 34.27248 30.62578 1.12 0.274 -28.93602 97.48097 + 1404 | -7.468975 19.68054 -0.38 0.708 -48.08762 33.14967 + 1405 | -8.056414 28.15328 -0.29 0.777 -66.16193 50.0491 + 1406 | -24.72935 17.38719 -1.42 0.168 -60.61474 11.15604 + 1409 | -22.0499 23.43392 -0.94 0.356 -70.41514 26.31534 + 1500 | -13.41074 20.589 -0.65 0.521 -55.90435 29.08287 + 1501 | 14.60477 27.06572 0.54 0.594 -41.25613 70.46567 + 1502 | 19.03862 24.75256 0.77 0.449 -32.04815 70.1254 + 1504 | 40.12791 14.38324 2.79 0.010 10.44236 69.81346 + 1505 | -6.205612 17.91126 -0.35 0.732 -43.17263 30.76141 + 1520 | -4.442991 21.60096 -0.21 0.839 -49.02518 40.1392 + 1521 | 26.53103 19.68054 1.35 0.190 -14.08762 67.14967 + 1523 | 26.33905 26.1795 1.01 0.324 -27.69278 80.37088 + 1524 | -12.76426 18.79994 -0.68 0.504 -51.56542 26.03691 + 1525 | -3.067589 18.17012 -0.17 0.867 -40.56886 34.43369 + 1526 | 18.3057 18.41295 0.99 0.330 -19.69676 56.30815 + 1600 | 18.30221 31.19183 0.59 0.563 -46.07456 82.67897 + 1603 | -27.71105 25.12536 -1.10 0.281 -79.56725 24.14514 + 1604 | -1.729347 17.38719 -0.10 0.922 -37.61474 34.15604 + 1608 | -3.941847 21.03018 -0.19 0.853 -47.346 39.4623 + 1609 | 81.28895 25.12536 3.24 0.004 29.43275 133.1451 + 1615 | 10.09783 25.61376 0.39 0.697 -42.76637 62.96202 + 1616 | -2.570574 22.82156 -0.11 0.911 -49.67196 44.53081 + 1619 | 1.921982 29.56154 0.07 0.949 -59.09004 62.93401 + 1698 | -12.2638 38.90451 -0.32 0.755 -92.55876 68.03117 + 1699 | 4.581869 26.20461 0.17 0.863 -49.50178 58.66552 + 1706 | 1.825689 44.55919 0.04 0.968 -90.13995 93.79133 + 1709 | 5.767488 23.64708 0.24 0.809 -43.03768 54.57266 + 1803 | -22.59478 23.08326 -0.98 0.337 -70.23629 25.04673 + 1804 | 3.772892 17.54674 0.22 0.832 -32.44179 39.98758 + 1807 | -3.820727 14.29837 -0.27 0.792 -33.33111 25.68965 + 1808 | 6.445905 28.40901 0.23 0.822 -52.18742 65.07923 + 1901 | -17.92218 20.19981 -0.89 0.384 -59.61254 23.76818 + 1905 | -21.59478 23.08326 -0.94 0.359 -69.23629 26.04673 + 1906 | -13.81122 32.52605 -0.42 0.675 -80.94169 53.31925 + 1907 | -8.59478 23.08326 -0.37 0.713 -56.23629 39.04673 + 1909 | -40.36736 24.03455 -1.68 0.106 -89.97222 9.237511 + 1910 | -24.40048 28.13684 -0.87 0.394 -82.47207 33.67111 + 1914 | -21.59478 23.08326 -0.94 0.359 -69.23629 26.04673 + 1915 | 44.13291 31.57781 1.40 0.175 -21.04048 109.3063 + 1919 | -21.96443 22.35987 -0.98 0.336 -68.11293 24.18408 + 1925 | 5.678062 30.21242 0.19 0.853 -56.67732 68.03344 + 1926 | -15.25072 20.86397 -0.73 0.472 -58.31183 27.81039 + 1927 | -24.13136 21.75299 -1.11 0.278 -69.02733 20.76461 + 1929 | -23.00267 19.68913 -1.17 0.254 -63.63904 17.6337 + 2000 | -49.23617 47.54368 -1.04 0.311 -147.3615 48.88916 + 2001 | 4.583043 29.25153 0.16 0.877 -55.78915 64.95524 + 2002 | -10.95899 29.14268 -0.38 0.710 -71.10653 49.18855 + 2003 | 198.7547 114.1025 1.74 0.094 -36.74122 434.2507 + 2004 | 6.463421 42.58829 0.15 0.881 -81.4345 94.36134 + 2006 | 180.8121 105.1875 1.72 0.098 -36.28423 397.9085 + 2007 | -58.52281 43.66986 -1.34 0.193 -148.653 31.60734 + 2008 | -39.21126 27.99625 -1.40 0.174 -96.99269 18.57017 + 2011 | -14.03019 31.26563 -0.45 0.658 -78.55929 50.4989 + 2012 | 6.659084 45.5842 0.15 0.885 -87.42209 100.7403 + 2014 | -6.124398 44.59878 -0.14 0.892 -98.17176 85.92296 + 2015 | -17.94153 25.87225 -0.69 0.495 -71.33923 35.45617 + 2100 | 4.920095 19.53715 0.25 0.803 -35.4026 45.24279 + 2101 | 17.99078 27.95328 0.64 0.526 -39.70196 75.68352 + 2102 | -2.354757 20.25146 -0.12 0.908 -44.15172 39.44221 + 2103 | 11.85542 18.46195 0.64 0.527 -26.24818 49.95902 + 2104 | .3180946 19.95455 0.02 0.987 -40.86608 41.50227 + 2105 | 23.59376 38.6326 0.61 0.547 -56.14 103.3275 + | + house_administration | -20.70803 40.84686 -0.51 0.617 -105.0118 63.59575 + house_agriculture | 2.724863 11.52764 0.24 0.815 -21.06702 26.51674 + house_appropriations | 31.40716 28.4649 1.10 0.281 -27.3415 90.15582 + house_armedservices | -10.85806 15.26718 -0.71 0.484 -42.36798 20.65185 + house_budget | -31.83726 20.56109 -1.55 0.135 -74.27327 10.59876 + house_dc | 0 (omitted) + house_educlabor | -9.079808 12.35853 -0.73 0.470 -34.58656 16.42694 + house_energycommerce | -1.36902 12.9994 -0.11 0.917 -28.19847 25.46043 + house_foreignaffairs | 1.372386 12.94895 0.11 0.916 -25.35294 28.09771 + house_governmentop | -9.868634 20.42381 -0.48 0.633 -52.0213 32.28404 + house_intelligence | 0 (omitted) + house_interior | -16.99723 16.40089 -1.04 0.310 -50.847 16.85254 + house_judiciary | 14.29214 17.74072 0.81 0.428 -22.32292 50.90719 + house_mmf | -4.168764 16.58474 -0.25 0.804 -38.39799 30.06046 + house_pocs | -47.38987 31.902 -1.49 0.150 -113.2324 18.45262 + house_pwt | 25.78455 17.84321 1.45 0.161 -11.04203 62.61112 + house_rules | 29.31907 14.40708 2.04 0.053 -.4156741 59.05382 + house_sst | 35.00133 35.04539 1.00 0.328 -37.32881 107.3315 + house_smallbusi | -37.76416 31.87525 -1.18 0.248 -103.5514 28.02313 + house_soc | -9.700678 31.91898 -0.30 0.764 -75.57822 56.17686 + house_veterans | -88.14823 28.26588 -3.12 0.005 -146.4862 -29.81031 + house_waysandmeans | -5.345874 10.66563 -0.50 0.621 -27.35866 16.66691 +house_naturalresources | -11.20952 17.40535 -0.64 0.526 -47.13241 24.71336 + house_bfs | -2.997632 15.28964 -0.20 0.846 -34.55389 28.55862 + house_eeo | 0 (omitted) + house_govreform | -21.47162 32.82928 -0.65 0.519 -89.22793 46.28468 + house_ir | 6.498307 9.894069 0.66 0.518 -13.92205 26.91866 + house_natsecur | 93.92063 19.27506 4.87 0.000 54.13886 133.7024 + house_oversight | 82.95426 53.07366 1.56 0.131 -26.58439 192.4929 + house_resources | -19.6978 21.19086 -0.93 0.362 -63.43358 24.03798 + house_science | -26.42391 17.64134 -1.50 0.147 -62.83385 9.98603 + house_transp | -13.65675 15.16204 -0.90 0.377 -44.94965 17.63616 + house_homeland | 53.94429 23.38824 2.31 0.030 5.673343 102.2152 + _cons | 22.28664 22.68315 0.98 0.336 -24.52908 69.10237 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 25 1 0 1 1 + + +j = 4 k = 1 + + +rdbwselect_2014 numb_cosponsors MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11990 +----------------------+---------------------- NN matches = 3 + Number of obs | 6151 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 25.22792 46.13311 .5468506 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(6,677 missing values generated) +(54,574 missing values generated) +(47,897 real changes made) +reg numb_cosponsors sponsor_female i.v2 i.minor house_* [aw=wt] if tag_bill==1 & tenured==1, robust cluster(group_sponsor) +(sum of wgt is 69,359.0976769924) + +Linear regression Number of obs = 33,762 + F(268, 2249) = . + Prob > F = . + R-squared = 0.1244 + Root MSE = 36.973 + + (Std. Err. adjusted for 2,250 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | .9632913 .8961602 1.07 0.283 -.7940962 2.720679 + | + v2 | + 102 | 2.090989 1.907222 1.10 0.273 -1.64911 5.831088 + 103 | -2.682463 2.063043 -1.30 0.194 -6.72813 1.363205 + 104 | 1.243955 2.374344 0.52 0.600 -3.412179 5.90009 + 105 | 4.034418 2.131626 1.89 0.059 -.1457415 8.214578 + 106 | 7.897181 3.767668 2.10 0.036 .5087119 15.28565 + 107 | 7.943896 2.259239 3.52 0.000 3.513485 12.37431 + 108 | 5.504513 2.111488 2.61 0.009 1.363843 9.645182 + 109 | 3.78497 1.675549 2.26 0.024 .4991862 7.070754 + 110 | 3.961238 1.893388 2.09 0.037 .2482679 7.674208 + 111 | 1.455045 2.1129 0.69 0.491 -2.688394 5.598483 + | + minor | + 101 | 18.81038 6.509991 2.89 0.004 6.04416 31.5766 + 103 | 10.10916 8.374098 1.21 0.227 -6.312606 26.53093 + 104 | 16.40179 6.216269 2.64 0.008 4.211568 28.59202 + 105 | 18.36451 6.294326 2.92 0.004 6.021218 30.70781 + 107 | 28.19865 6.614636 4.26 0.000 15.22722 41.17008 + 108 | 21.33514 7.115728 3.00 0.003 7.381063 35.28922 + 110 | 16.41571 11.4369 1.44 0.151 -6.01228 38.8437 + 200 | 38.88611 9.645127 4.03 0.000 19.97183 57.80039 + 201 | 20.08375 7.768844 2.59 0.010 4.848892 35.3186 + 202 | 62.49933 16.32839 3.83 0.000 30.47904 94.51961 + 204 | 11.19342 9.907536 1.13 0.259 -8.235448 30.62229 + 205 | 102.1032 32.21935 3.17 0.002 38.9204 165.2859 + 206 | 22.45884 8.081454 2.78 0.005 6.610957 38.30673 + 207 | 41.18439 7.565233 5.44 0.000 26.34882 56.01996 + 208 | 18.84253 6.146617 3.07 0.002 6.788899 30.89617 + 209 | 25.56619 13.54724 1.89 0.059 -1.000212 52.13259 + 299 | 92.687 19.5468 4.74 0.000 54.35533 131.0187 + 300 | 28.61487 8.053505 3.55 0.000 12.82179 44.40795 + 301 | 24.77241 6.428764 3.85 0.000 12.16548 37.37934 + 302 | 29.0282 6.815272 4.26 0.000 15.66332 42.39308 + 321 | 20.53292 6.559885 3.13 0.002 7.668856 33.39698 + 322 | 18.90067 7.32568 2.58 0.010 4.534871 33.26647 + 323 | 24.8564 6.973463 3.56 0.000 11.1813 38.53149 + 324 | 15.6585 6.372 2.46 0.014 3.162884 28.15412 + 325 | 24.48429 7.786128 3.14 0.002 9.21554 39.75304 + 331 | 46.2401 7.497759 6.17 0.000 31.53685 60.94335 + 332 | 31.269 6.123115 5.11 0.000 19.26145 43.27654 + 333 | 31.43768 9.34366 3.36 0.001 13.11458 49.76077 + 334 | 27.87007 6.965896 4.00 0.000 14.20982 41.53033 + 335 | 29.35137 9.887594 2.97 0.003 9.961609 48.74114 + 336 | 37.56901 8.833888 4.25 0.000 20.24558 54.89243 + 341 | 26.95359 7.259055 3.71 0.000 12.71844 41.18873 + 342 | 19.56301 8.990516 2.18 0.030 1.932438 37.19359 + 343 | 20.8682 6.287873 3.32 0.001 8.537554 33.19884 + 344 | 19.75135 8.068643 2.45 0.014 3.928582 35.57411 + 398 | 42.99574 8.384738 5.13 0.000 26.55311 59.43838 + 399 | 23.67606 7.151145 3.31 0.001 9.652528 37.6996 + 400 | 17.83771 6.778463 2.63 0.009 4.545015 31.13041 + 401 | 12.33826 6.02232 2.05 0.041 .5283699 24.14814 + 402 | 18.20995 5.712461 3.19 0.001 7.007706 29.4122 + 403 | 17.0104 5.804452 2.93 0.003 5.627757 28.39304 + 404 | 21.18036 5.69243 3.72 0.000 10.01739 32.34332 + 405 | 29.24096 9.085941 3.22 0.001 11.42326 47.05867 + 498 | 26.67378 12.27435 2.17 0.030 2.60354 50.74402 + 499 | 13.39696 5.7119 2.35 0.019 2.195818 24.59811 + 500 | 11.15084 5.75732 1.94 0.053 -.1393788 22.44105 + 501 | 20.33067 6.789681 2.99 0.003 7.015974 33.64537 + 502 | 21.13598 7.398177 2.86 0.004 6.628013 35.64395 + 503 | 24.52329 6.937445 3.53 0.000 10.91883 38.12775 + 504 | 36.64367 8.449096 4.34 0.000 20.07483 53.21251 + 505 | 19.231 7.694709 2.50 0.013 4.141528 34.32048 + 506 | 26.1209 7.701972 3.39 0.001 11.01718 41.22462 + 508 | 18.70497 6.20878 3.01 0.003 6.529428 30.88051 + 529 | 17.47498 7.031533 2.49 0.013 3.686004 31.26395 + 530 | 17.06093 6.222996 2.74 0.006 4.85751 29.26434 + 599 | 19.4855 10.30223 1.89 0.059 -.7173747 39.68838 + 600 | 17.48577 6.638298 2.63 0.008 4.467937 30.5036 + 601 | 20.55124 6.019036 3.41 0.001 8.747792 32.35469 + 602 | 28.04779 7.767509 3.61 0.000 12.81556 43.28003 + 603 | 18.86958 7.166598 2.63 0.009 4.815745 32.92342 + 604 | 12.60709 6.670646 1.89 0.059 -.4741729 25.68836 + 606 | 22.90645 8.85422 2.59 0.010 5.543151 40.26974 + 607 | 21.28199 6.295843 3.38 0.001 8.935721 33.62826 + 609 | 20.32091 6.686548 3.04 0.002 7.208462 33.43336 + 698 | 10.56032 7.299806 1.45 0.148 -3.754743 24.87538 + 699 | 16.38374 7.341863 2.23 0.026 1.986203 30.78127 + 700 | 20.66782 5.824561 3.55 0.000 9.245739 32.08989 + 701 | 29.30799 10.90944 2.69 0.007 7.914365 50.70161 + 703 | 15.63834 5.623023 2.78 0.005 4.611479 26.66519 + 704 | 17.89643 6.07901 2.94 0.003 5.975375 29.81749 + 705 | 19.94815 6.080951 3.28 0.001 8.023285 31.87301 + 707 | 13.47529 5.070977 2.66 0.008 3.53101 23.41958 + 708 | 20.51326 7.240607 2.83 0.005 6.31429 34.71223 + 709 | 29.08272 5.982313 4.86 0.000 17.35128 40.81415 + 710 | 19.36859 5.798076 3.34 0.001 7.998449 30.73873 + 711 | 20.62544 6.207531 3.32 0.001 8.452348 32.79853 + 798 | 24.26957 7.949344 3.05 0.002 8.680755 39.85839 + 799 | 7.666606 6.130998 1.25 0.211 -4.356399 19.68961 + 800 | 15.7508 6.79378 2.32 0.021 2.428067 29.07353 + 801 | 10.20895 5.626502 1.81 0.070 -.8247319 21.24262 + 802 | 14.95552 6.740296 2.22 0.027 1.737672 28.17337 + 803 | 17.60315 5.908285 2.98 0.003 6.016893 29.18942 + 805 | 14.05168 6.083896 2.31 0.021 2.121042 25.98232 + 806 | 16.64269 6.010125 2.77 0.006 4.856714 28.42866 + 807 | 22.43187 7.202443 3.11 0.002 8.307743 36.556 + 898 | 10.13512 6.887702 1.47 0.141 -3.371794 23.64204 + 899 | 7.738782 6.866348 1.13 0.260 -5.726259 21.20382 + 1000 | 12.82657 6.104363 2.10 0.036 .8557961 24.79735 + 1001 | 22.03756 6.912282 3.19 0.001 8.482438 35.59267 + 1002 | 14.74776 6.000842 2.46 0.014 2.979987 26.51552 + 1003 | 18.38148 6.986438 2.63 0.009 4.68094 32.08202 + 1005 | 16.15984 6.643898 2.43 0.015 3.131031 29.18865 + 1006 | 39.87641 15.73294 2.53 0.011 9.023811 70.72901 + 1007 | 16.69145 5.23 3.19 0.001 6.435315 26.94758 + 1010 | 19.84225 7.243428 2.74 0.006 5.637746 34.04675 + 1098 | 7.012733 5.886235 1.19 0.234 -4.530288 18.55575 + 1099 | 17.39139 9.231316 1.88 0.060 -.7113992 35.49418 + 1200 | 27.64669 10.70478 2.58 0.010 6.654415 48.63897 + 1201 | 13.9716 6.432131 2.17 0.030 1.358064 26.58513 + 1202 | 12.02471 6.891977 1.74 0.081 -1.490592 25.54001 + 1203 | 18.08977 6.180871 2.93 0.003 5.968959 30.21057 + 1204 | 14.98898 6.169336 2.43 0.015 2.890793 27.08717 + 1205 | 18.48113 6.44909 2.87 0.004 5.834335 31.12792 + 1206 | 14.90799 7.215763 2.07 0.039 .7577417 29.05825 + 1207 | 21.02009 6.500925 3.23 0.001 8.271651 33.76853 + 1208 | 24.86231 6.034688 4.12 0.000 13.02817 36.69645 + 1209 | 25.00183 6.820858 3.67 0.000 11.62599 38.37766 + 1210 | 20.18524 6.692149 3.02 0.003 7.061804 33.30867 + 1211 | 39.87308 12.29058 3.24 0.001 15.77102 63.97515 + 1299 | 26.07187 8.74619 2.98 0.003 8.920419 43.22332 + 1300 | 37.71091 8.522364 4.42 0.000 20.99839 54.42343 + 1301 | 23.29234 7.032595 3.31 0.001 9.501282 37.08339 + 1302 | 13.05628 6.022104 2.17 0.030 1.246823 24.86575 + 1303 | 21.61586 6.811731 3.17 0.002 8.257927 34.9738 + 1304 | 19.10372 8.368784 2.28 0.023 2.692376 35.51507 + 1305 | 22.62661 7.55553 2.99 0.003 7.810074 37.44315 + 1399 | 30.77551 17.869 1.72 0.085 -4.265946 65.81697 + 1400 | 24.13426 6.873848 3.51 0.000 10.65451 37.61401 + 1401 | 22.87427 6.692948 3.42 0.001 9.749272 35.99927 + 1403 | 27.68279 7.766274 3.56 0.000 12.45298 42.91261 + 1404 | 20.75649 7.31408 2.84 0.005 6.41344 35.09955 + 1405 | 14.76664 5.854573 2.52 0.012 3.285712 26.24757 + 1406 | 30.00395 9.907623 3.03 0.002 10.57491 49.43299 + 1407 | 24.02669 7.962953 3.02 0.003 8.411186 39.6422 + 1408 | 15.75756 7.835271 2.01 0.044 .3924372 31.12268 + 1409 | 31.91992 10.82846 2.95 0.003 10.68511 53.15474 + 1410 | 23.60192 6.680689 3.53 0.000 10.50096 36.70288 + 1499 | 18.72084 7.248361 2.58 0.010 4.506661 32.93501 + 1500 | 15.65301 5.753239 2.72 0.007 4.370794 26.93522 + 1501 | 25.2818 6.228285 4.06 0.000 13.06802 37.49559 + 1502 | 28.73086 8.840438 3.25 0.001 11.39459 46.06713 + 1504 | 41.34552 17.91423 2.31 0.021 6.215372 76.47567 + 1505 | 14.91356 6.373919 2.34 0.019 2.414177 27.41294 + 1507 | 21.85804 7.198971 3.04 0.002 7.74072 35.97536 + 1520 | 16.62018 6.143974 2.71 0.007 4.571732 28.66864 + 1521 | 19.30087 6.516495 2.96 0.003 6.5219 32.07985 + 1522 | 15.57714 6.273872 2.48 0.013 3.273961 27.88033 + 1523 | 17.19905 5.849177 2.94 0.003 5.728705 28.6694 + 1524 | 32.85945 11.18229 2.94 0.003 10.93076 54.78813 + 1525 | 22.471 6.348802 3.54 0.000 10.02087 34.92112 + 1526 | 20.48957 6.964917 2.94 0.003 6.831236 34.14791 + 1599 | 24.34178 7.948034 3.06 0.002 8.755531 39.92803 + 1600 | 12.50014 5.457831 2.29 0.022 1.79723 23.20305 + 1602 | 28.86392 9.775924 2.95 0.003 9.693146 48.0347 + 1603 | -10.3718 21.16008 -0.49 0.624 -51.86713 31.12352 + 1604 | 16.79649 6.26228 2.68 0.007 4.516036 29.07694 + 1605 | 28.07796 7.273047 3.86 0.000 13.81537 42.34055 + 1606 | 15.05255 6.203602 2.43 0.015 2.887164 27.21793 + 1608 | 23.26643 7.070579 3.29 0.001 9.400887 37.13197 + 1609 | 28.92352 6.356219 4.55 0.000 16.45885 41.38819 + 1610 | 24.85603 7.254407 3.43 0.001 10.62999 39.08206 + 1611 | 15.95951 5.824527 2.74 0.006 4.5375 27.38152 + 1612 | 20.38573 6.202545 3.29 0.001 8.222422 32.54905 + 1614 | 7.741827 6.793388 1.14 0.255 -5.580137 21.06379 + 1615 | 13.25183 5.65101 2.35 0.019 2.170093 24.33357 + 1616 | 7.291442 4.535097 1.61 0.108 -1.601971 16.18485 + 1617 | 13.84139 6.09815 2.27 0.023 1.882801 25.79998 + 1619 | 22.89928 6.980926 3.28 0.001 9.209551 36.58901 + 1620 | 6.524048 6.378151 1.02 0.306 -5.98363 19.03173 + 1698 | 7.488966 6.489922 1.15 0.249 -5.237896 20.21583 + 1699 | 56.4392 19.523 2.89 0.004 18.15421 94.72419 + 1700 | 17.54985 6.824691 2.57 0.010 4.1665 30.9332 + 1701 | 12.3361 5.870611 2.10 0.036 .8237139 23.84848 + 1704 | 11.41693 6.075156 1.88 0.060 -.4965704 23.33043 + 1705 | 23.6563 6.99276 3.38 0.001 9.943366 37.36924 + 1706 | 26.36891 7.419478 3.55 0.000 11.81917 40.91865 + 1707 | 17.68209 6.322508 2.80 0.005 5.28353 30.08065 + 1708 | 17.95106 6.126878 2.93 0.003 5.93613 29.96598 + 1709 | 24.24106 7.265346 3.34 0.001 9.993573 38.48854 + 1798 | 46.19233 11.56337 3.99 0.000 23.51635 68.86832 + 1799 | 26.92998 15.6118 1.72 0.085 -3.68505 57.54502 + 1800 | 16.74404 6.08502 2.75 0.006 4.811196 28.67688 + 1802 | 21.58271 7.141452 3.02 0.003 7.578185 35.58723 + 1803 | 20.92136 5.739871 3.64 0.000 9.665361 32.17736 + 1804 | 13.32306 5.442002 2.45 0.014 2.65119 23.99493 + 1806 | 16.71704 5.739073 2.91 0.004 5.462608 27.97147 + 1807 | 7.584517 6.113362 1.24 0.215 -4.403904 19.57294 + 1808 | 11.90906 7.597968 1.57 0.117 -2.990707 26.80882 + 1899 | 2.818339 6.16273 0.46 0.647 -9.266893 14.90357 + 1900 | 12.36764 5.293167 2.34 0.020 1.987641 22.74765 + 1901 | 22.37608 5.099253 4.39 0.000 12.37635 32.37582 + 1902 | 42.38108 15.97033 2.65 0.008 11.06295 73.69921 + 1905 | 29.50353 9.419362 3.13 0.002 11.03198 47.97509 + 1906 | 25.17994 6.912648 3.64 0.000 11.6241 38.73577 + 1907 | 21.22804 7.355059 2.89 0.004 6.804628 35.65145 + 1908 | 18.12476 7.815841 2.32 0.020 2.797746 33.45178 + 1909 | 14.95927 5.823162 2.57 0.010 3.539942 26.37861 + 1910 | 25.9654 9.425564 2.75 0.006 7.48169 44.44912 + 1911 | 30.81965 10.65169 2.89 0.004 9.93147 51.70783 + 1912 | 15.76422 16.21847 0.97 0.331 -16.04051 47.56895 + 1914 | 17.745 5.266329 3.37 0.001 7.417625 28.07237 + 1915 | 13.22001 6.212576 2.13 0.033 1.03703 25.40299 + 1919 | 18.24613 5.677619 3.21 0.001 7.112212 29.38005 + 1920 | 44.74437 9.925729 4.51 0.000 25.27982 64.20892 + 1925 | 32.97728 6.585827 5.01 0.000 20.06234 45.89221 + 1926 | 19.22097 5.290475 3.63 0.000 8.846247 29.59569 + 1927 | 10.57247 4.95311 2.13 0.033 .8593232 20.28561 + 1929 | 17.96237 5.566253 3.23 0.001 7.04684 28.8779 + 1999 | 31.24323 15.55494 2.01 0.045 .7396849 61.74678 + 2000 | 14.03485 5.501552 2.55 0.011 3.246198 24.8235 + 2001 | 22.40596 6.788882 3.30 0.001 9.092833 35.71909 + 2002 | 19.66108 6.273062 3.13 0.002 7.359488 31.96268 + 2003 | 46.95995 12.62383 3.72 0.000 22.20437 71.71552 + 2004 | 27.48351 7.079138 3.88 0.000 13.60118 41.36583 + 2005 | 17.68442 11.05939 1.60 0.110 -4.003255 39.37209 + 2006 | 108.2233 15.32719 7.06 0.000 78.16637 138.2802 + 2007 | 18.34325 6.46309 2.84 0.005 5.669007 31.0175 + 2008 | 15.76266 5.732663 2.75 0.006 4.520792 27.00452 + 2009 | 21.05696 8.189406 2.57 0.010 4.997373 37.11654 + 2010 | 4.59786 6.165038 0.75 0.456 -7.4919 16.68762 + 2011 | 9.191637 5.973869 1.54 0.124 -2.523237 20.90651 + 2012 | 13.49461 6.384235 2.11 0.035 .9750026 26.01422 + 2013 | 15.38 6.906841 2.23 0.026 1.835552 28.92445 + 2014 | 12.47788 6.460148 1.93 0.054 -.1906003 25.14635 + 2015 | 9.227986 6.393146 1.44 0.149 -3.309096 21.76507 + 2030 | 92.57007 46.78316 1.98 0.048 .8273898 184.3127 + 2099 | 23.24516 7.803511 2.98 0.003 7.942326 38.548 + 2100 | 21.79704 8.563598 2.55 0.011 5.003659 38.59042 + 2101 | 21.33053 5.893268 3.62 0.000 9.773714 32.88734 + 2102 | 14.66552 5.942035 2.47 0.014 3.013074 26.31797 + 2103 | 18.7214 5.804282 3.23 0.001 7.339092 30.10371 + 2104 | 12.86835 5.64242 2.28 0.023 1.803456 23.93324 + 2105 | 15.51949 7.063734 2.20 0.028 1.66737 29.37161 + 2199 | 4.248852 6.246343 0.68 0.496 -8.000348 16.49805 + 9999 | 46.7574 12.39718 3.77 0.000 22.4463 71.0685 + | + house_administration | 5.642838 3.615731 1.56 0.119 -1.44768 12.73336 + house_agriculture | .7392946 1.588209 0.47 0.642 -2.375214 3.853804 + house_appropriations | -.2316344 4.296156 -0.05 0.957 -8.65648 8.193211 + house_armedservices | .319345 2.986159 0.11 0.915 -5.53657 6.17526 + house_budget | 7.818277 3.020086 2.59 0.010 1.895831 13.74072 + house_dc | 1.875067 3.195763 0.59 0.557 -4.391886 8.14202 + house_educlabor | 6.484876 1.746832 3.71 0.000 3.059305 9.910447 + house_energycommerce | 6.386378 1.537539 4.15 0.000 3.371234 9.401523 + house_foreignaffairs | 5.807299 4.990185 1.16 0.245 -3.97855 15.59315 + house_governmentop | 3.017846 2.896953 1.04 0.298 -2.663134 8.698827 + house_intelligence | 29.65722 26.56317 1.12 0.264 -22.43368 81.74812 + house_interior | -.0454535 2.212192 -0.02 0.984 -4.383605 4.292698 + house_judiciary | 4.338912 1.454453 2.98 0.003 1.486701 7.191123 + house_mmf | -.4675234 2.77987 -0.17 0.866 -5.918902 4.983855 + house_pocs | 15.87528 6.262874 2.53 0.011 3.593666 28.1569 + house_pwt | 10.28797 3.017418 3.41 0.001 4.370751 16.20518 + house_rules | -.436842 2.205598 -0.20 0.843 -4.762063 3.888379 + house_sst | 11.44491 4.206846 2.72 0.007 3.195201 19.69461 + house_smallbusi | -4.057134 2.472132 -1.64 0.101 -8.905034 .7907652 + house_soc | 17.83439 18.49961 0.96 0.335 -18.44371 54.11249 + house_veterans | .5184013 2.94805 0.18 0.860 -5.262783 6.299585 + house_waysandmeans | 4.495545 1.267263 3.55 0.000 2.010419 6.980672 +house_naturalresources | .8686153 1.729502 0.50 0.616 -2.522972 4.260202 + house_bfs | -4.49043 2.271007 -1.98 0.048 -8.943918 -.0369411 + house_eeo | 3.880999 4.548559 0.85 0.394 -5.038812 12.80081 + house_govreform | 3.718527 1.765445 2.11 0.035 .2564557 7.180599 + house_ir | 7.012798 2.388703 2.94 0.003 2.328505 11.69709 + house_natsecur | -.9855685 3.527056 -0.28 0.780 -7.902193 5.931056 + house_oversight | 2.783271 2.337165 1.19 0.234 -1.799955 7.366497 + house_resources | -1.651449 1.440374 -1.15 0.252 -4.47605 1.173152 + house_science | -3.202196 2.092801 -1.53 0.126 -7.306218 .9018273 + house_transp | 2.216418 1.389519 1.60 0.111 -.5084547 4.941291 + house_homeland | -.5221048 2.055507 -0.25 0.800 -4.552993 3.508783 + _cons | -12.8613 5.874569 -2.19 0.029 -24.38144 -1.341158 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,250 1 0 1 1 + + +j = 4 k = 2 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6187 +----------------------+---------------------- NN matches = 3 + Number of obs | 2193 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 29.70309 50.99673 .5824509 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(6,677 missing values generated) +(54,574 missing values generated) +(47,897 real changes made) +reg numb_cosponsors sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==100 & tag_bill==1 & tenured==1, robust cluster(group_sponsor) +(sum of wgt is 38,188.608886838) + +Linear regression Number of obs = 18,908 + F(267, 1237) = . + Prob > F = . + R-squared = 0.1331 + Root MSE = 37.793 + + (Std. Err. adjusted for 1,238 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -.2006383 1.247649 -0.16 0.872 -2.648381 2.247105 + | + v2 | + 102 | .9795894 2.683082 0.37 0.715 -4.284306 6.243484 + 103 | -4.437944 2.112616 -2.10 0.036 -8.58265 -.2932381 + 104 | -7.42652 2.47835 -3.00 0.003 -12.28875 -2.564284 + 105 | 1.151055 3.622201 0.32 0.751 -5.955282 8.257392 + 106 | .0100143 3.328889 0.00 0.998 -6.520879 6.540907 + 107 | 2.744571 3.072909 0.89 0.372 -3.284118 8.773261 + 108 | 3.606309 3.389497 1.06 0.288 -3.043489 10.25611 + 109 | -.68887 2.474285 -0.28 0.781 -5.543129 4.165389 + 110 | 2.129879 2.593723 0.82 0.412 -2.958702 7.218461 + 111 | -1.053242 2.656876 -0.40 0.692 -6.265724 4.15924 + | + minor | + 101 | 1.789178 6.581495 0.27 0.786 -11.12295 14.70131 + 103 | -15.94017 6.141034 -2.60 0.010 -27.98816 -3.892178 + 104 | -1.320841 6.090131 -0.22 0.828 -13.26897 10.62729 + 105 | 5.834444 6.947581 0.84 0.401 -7.795901 19.46479 + 107 | 10.17638 8.411071 1.21 0.227 -6.325161 26.67792 + 108 | 7.299573 10.48944 0.70 0.487 -13.27949 27.87863 + 110 | -3.363693 16.28755 -0.21 0.836 -35.31796 28.59058 + 200 | 28.51063 9.864427 2.89 0.004 9.157771 47.86349 + 201 | 4.776436 8.167861 0.58 0.559 -11.24796 20.80083 + 202 | 56.09533 15.24849 3.68 0.000 26.17956 86.01111 + 204 | 14.67386 12.04527 1.22 0.223 -8.957565 38.30528 + 205 | 132.7439 27.69385 4.79 0.000 78.41177 187.076 + 206 | 5.88136 8.22257 0.72 0.475 -10.25037 22.01308 + 207 | 31.146 8.439276 3.69 0.000 14.58912 47.70288 + 208 | 1.257028 6.189831 0.20 0.839 -10.8867 13.40076 + 209 | 6.647008 13.06026 0.51 0.611 -18.9757 32.26972 + 299 | -4.15976 19.66613 -0.21 0.833 -42.74241 34.4229 + 300 | 10.19108 7.051538 1.45 0.149 -3.643215 24.02538 + 301 | 3.464268 7.352709 0.47 0.638 -10.96089 17.88943 + 302 | 9.795217 6.41463 1.53 0.127 -2.789541 22.37998 + 321 | .6612513 6.0212 0.11 0.913 -11.15164 12.47415 + 322 | -6.876039 5.699854 -1.21 0.228 -18.05849 4.306412 + 323 | 10.63771 7.349333 1.45 0.148 -3.780829 25.05624 + 324 | -6.020368 6.598681 -0.91 0.362 -18.96621 6.925475 + 325 | 2.00252 6.101346 0.33 0.743 -9.967611 13.97265 + 331 | 19.58859 7.2534 2.70 0.007 5.358263 33.81891 + 332 | 13.60967 6.355057 2.14 0.032 1.141792 26.07756 + 333 | 13.32594 6.877991 1.94 0.053 -.1678813 26.81975 + 334 | 12.49104 6.085239 2.05 0.040 .5525075 24.42957 + 335 | -3.681691 6.443713 -0.57 0.568 -16.32351 8.960124 + 336 | 12.74339 9.179712 1.39 0.165 -5.266134 30.75292 + 341 | 11.2164 8.026286 1.40 0.163 -4.530237 26.96304 + 342 | 6.00669 10.51596 0.57 0.568 -14.6244 26.63778 + 343 | 6.916183 6.962046 0.99 0.321 -6.742541 20.57491 + 344 | -3.76355 8.104399 -0.46 0.642 -19.66344 12.13634 + 398 | 25.04777 7.913897 3.17 0.002 9.521624 40.57391 + 399 | 13.23929 12.94184 1.02 0.307 -12.15109 38.62967 + 400 | 2.606244 7.96644 0.33 0.744 -13.02298 18.23547 + 401 | -2.453026 6.339481 -0.39 0.699 -14.89035 9.984298 + 402 | 2.852248 6.3547 0.45 0.654 -9.614932 15.31943 + 403 | .6268896 5.765994 0.11 0.913 -10.68532 11.9391 + 404 | 2.063133 6.580222 0.31 0.754 -10.8465 14.97276 + 405 | 26.49351 12.91655 2.05 0.040 1.152736 51.83428 + 498 | 28.303 22.2316 1.27 0.203 -15.3128 71.91881 + 499 | -3.540609 6.022397 -0.59 0.557 -15.35585 8.274632 + 500 | -11.59667 6.408614 -1.81 0.071 -24.16962 .9762842 + 501 | 3.934946 6.783035 0.58 0.562 -9.372579 17.24247 + 502 | 4.236182 7.854241 0.54 0.590 -11.17293 19.64529 + 503 | 1.23901 6.767729 0.18 0.855 -12.03849 14.51651 + 504 | 22.36286 9.812054 2.28 0.023 3.112756 41.61297 + 505 | 10.48807 7.863541 1.33 0.183 -4.939281 25.91542 + 506 | 14.13579 7.748048 1.82 0.068 -1.064977 29.33656 + 508 | 5.216921 6.541944 0.80 0.425 -7.617612 18.05145 + 529 | -7.930404 6.158056 -1.29 0.198 -20.01179 4.150985 + 530 | 2.842912 6.002844 0.47 0.636 -8.933969 14.61979 + 599 | 2.180529 9.202383 0.24 0.813 -15.87348 20.23453 + 600 | -4.291533 6.578816 -0.65 0.514 -17.1984 8.615338 + 601 | 2.095784 5.824722 0.36 0.719 -9.331643 13.52321 + 602 | 2.141221 6.193122 0.35 0.730 -10.00896 14.2914 + 603 | -1.61387 6.563216 -0.25 0.806 -14.49014 11.2624 + 604 | .1890599 10.00789 0.02 0.985 -19.44525 19.82337 + 606 | -4.896669 9.969962 -0.49 0.623 -24.45657 14.66324 + 607 | -.4436765 6.315727 -0.07 0.944 -12.8344 11.94704 + 609 | 6.376596 6.805851 0.94 0.349 -6.975691 19.72888 + 698 | -9.171141 6.909391 -1.33 0.185 -22.72656 4.384279 + 699 | .9715461 8.59811 0.11 0.910 -15.89694 17.84004 + 700 | 6.21929 6.219973 1.00 0.318 -5.983572 18.42215 + 701 | 6.675401 6.740771 0.99 0.322 -6.549207 19.90001 + 703 | 1.342597 5.745625 0.23 0.815 -9.92965 12.61484 + 704 | 2.746688 6.159035 0.45 0.656 -9.336621 14.83 + 705 | 7.412323 6.69909 1.11 0.269 -5.730511 20.55516 + 707 | 1.624887 7.252925 0.22 0.823 -12.60451 15.85428 + 708 | -.5517589 6.318522 -0.09 0.930 -12.94796 11.84445 + 709 | 20.19424 6.756492 2.99 0.003 6.938793 33.4497 + 710 | 5.509521 6.137104 0.90 0.369 -6.530763 17.5498 + 711 | 15.77951 8.458849 1.87 0.062 -.8157686 32.37479 + 798 | 7.492517 7.551845 0.99 0.321 -7.323325 22.30836 + 799 | -14.59183 6.220205 -2.35 0.019 -26.79515 -2.388514 + 800 | 3.464651 8.462779 0.41 0.682 -13.13834 20.06764 + 801 | -9.729646 6.090986 -1.60 0.110 -21.67945 2.22016 + 802 | -6.161675 6.318321 -0.98 0.330 -18.55749 6.234136 + 803 | -1.972368 5.683576 -0.35 0.729 -13.12288 9.178146 + 805 | 1.533982 6.47154 0.24 0.813 -11.16243 14.23039 + 806 | -1.772435 6.149851 -0.29 0.773 -13.83773 10.29286 + 807 | 9.419362 7.417911 1.27 0.204 -5.133717 23.97244 + 898 | -12.07681 8.706464 -1.39 0.166 -29.15788 5.004256 + 899 | -1.351799 9.536659 -0.14 0.887 -20.06161 17.35802 + 1000 | -3.31794 5.740502 -0.58 0.563 -14.58014 7.944258 + 1001 | -1.087677 5.838743 -0.19 0.852 -12.54261 10.36726 + 1002 | -3.938934 5.887917 -0.67 0.504 -15.49034 7.612474 + 1003 | .9058882 5.931564 0.15 0.879 -10.73115 12.54293 + 1005 | 4.142061 7.038571 0.59 0.556 -9.666796 17.95092 + 1006 | 1.320469 6.820641 0.19 0.847 -12.06084 14.70177 + 1007 | 4.172089 6.59 0.63 0.527 -8.756725 17.1009 + 1010 | 7.031755 7.847116 0.90 0.370 -8.363373 22.42688 + 1098 | -9.455584 7.116335 -1.33 0.184 -23.41701 4.505838 + 1099 | 12.40292 10.88912 1.14 0.255 -8.960261 33.76611 + 1200 | 15.75293 13.02071 1.21 0.227 -9.792184 41.29805 + 1201 | -10.27203 14.80024 -0.69 0.488 -39.30837 18.76432 + 1202 | -.9295249 5.867847 -0.16 0.874 -12.44156 10.58251 + 1203 | -1.268305 5.688835 -0.22 0.824 -12.42914 9.892528 + 1204 | -2.486738 6.080463 -0.41 0.683 -14.4159 9.442424 + 1205 | -1.14756 5.915313 -0.19 0.846 -12.75272 10.4576 + 1206 | -.3918076 7.243477 -0.05 0.957 -14.60267 13.81905 + 1207 | 3.170205 7.11677 0.45 0.656 -10.79207 17.13248 + 1208 | 11.20053 7.365648 1.52 0.129 -3.25001 25.65108 + 1209 | 5.855385 6.475896 0.90 0.366 -6.84957 18.56034 + 1210 | -.6774237 6.137749 -0.11 0.912 -12.71897 11.36413 + 1211 | 20.42882 11.50106 1.78 0.076 -2.134921 42.99256 + 1299 | 8.892313 10.95782 0.81 0.417 -12.60565 30.39027 + 1300 | 14.91108 8.125746 1.84 0.067 -1.030693 30.85284 + 1301 | 8.862887 6.928858 1.28 0.201 -4.730726 22.4565 + 1302 | -6.467045 6.994461 -0.92 0.355 -20.18936 7.255273 + 1303 | 1.062071 7.689621 0.14 0.890 -14.02407 16.14821 + 1304 | 2.276848 9.820791 0.23 0.817 -16.9904 21.5441 + 1305 | -4.194672 8.870912 -0.47 0.636 -21.59837 13.20902 + 1399 | 43.50348 55.26633 0.79 0.431 -64.92262 151.9296 + 1400 | 4.449219 6.58834 0.68 0.500 -8.476338 17.37478 + 1401 | 5.622516 5.63532 1.00 0.319 -5.433327 16.67836 + 1403 | 14.12707 7.635436 1.85 0.065 -.8527658 29.10691 + 1404 | 14.44229 13.22322 1.09 0.275 -11.50013 40.38471 + 1405 | -.3821945 6.583332 -0.06 0.954 -13.29793 12.53354 + 1406 | 13.85539 8.610465 1.61 0.108 -3.03734 30.74812 + 1407 | 6.327377 8.382297 0.75 0.450 -10.11771 22.77247 + 1408 | -3.581251 7.081461 -0.51 0.613 -17.47425 10.31175 + 1409 | 24.4856 9.652475 2.54 0.011 5.548573 43.42264 + 1410 | 4.004304 5.842206 0.69 0.493 -7.457423 15.46603 + 1499 | -6.603979 5.104443 -1.29 0.196 -16.6183 3.410344 + 1500 | 2.314227 8.067822 0.29 0.774 -13.5139 18.14235 + 1501 | 7.819277 5.366762 1.46 0.145 -2.709685 18.34824 + 1502 | 17.52567 12.02668 1.46 0.145 -6.06927 41.1206 + 1504 | 41.7888 30.39557 1.37 0.169 -17.84378 101.4214 + 1505 | -6.841676 6.760894 -1.01 0.312 -20.10576 6.42241 + 1507 | 1.695075 6.749869 0.25 0.802 -11.54738 14.93753 + 1520 | -1.267637 5.681824 -0.22 0.823 -12.41471 9.87944 + 1521 | 3.813378 5.550721 0.69 0.492 -7.07649 14.70325 + 1522 | -.6824047 6.254797 -0.11 0.913 -12.95359 11.58878 + 1523 | 1.229277 5.207599 0.24 0.813 -8.987426 11.44598 + 1524 | 13.58701 10.29683 1.32 0.187 -6.614165 33.78818 + 1525 | 5.483635 7.280151 0.75 0.451 -8.799174 19.76644 + 1526 | -1.067035 6.110782 -0.17 0.861 -13.05568 10.92161 + 1599 | 4.05339 9.844326 0.41 0.681 -15.26003 23.36681 + 1600 | -2.163386 4.648646 -0.47 0.642 -11.28349 6.956715 + 1602 | 3.002514 11.59047 0.26 0.796 -19.73663 25.74166 + 1603 | -54.28508 34.61871 -1.57 0.117 -122.203 13.63279 + 1604 | -4.498268 5.53389 -0.81 0.416 -15.35512 6.35858 + 1605 | .8737989 7.624824 0.11 0.909 -14.08522 15.83282 + 1606 | -6.030746 8.38263 -0.72 0.472 -22.47649 10.415 + 1608 | .6360615 8.22402 0.08 0.938 -15.49851 16.77063 + 1609 | 7.058562 6.313437 1.12 0.264 -5.327667 19.44479 + 1610 | 5.745085 7.194407 0.80 0.425 -8.369504 19.85967 + 1611 | -3.390066 6.296162 -0.54 0.590 -15.7424 8.96227 + 1612 | 6.368485 6.642104 0.96 0.338 -6.66255 19.39952 + 1614 | 2.114787 8.757504 0.24 0.809 -15.06642 19.29599 + 1615 | -5.751381 6.649778 -0.86 0.387 -18.79747 7.29471 + 1616 | -3.126865 5.941543 -0.53 0.599 -14.78348 8.529751 + 1617 | -8.604472 7.945363 -1.08 0.279 -24.19235 6.983404 + 1619 | 9.616277 12.31357 0.78 0.435 -14.54151 33.77407 + 1620 | -6.822708 6.674578 -1.02 0.307 -19.91745 6.272036 + 1698 | -6.164106 6.268884 -0.98 0.326 -18.46293 6.134716 + 1699 | 63.47016 27.31309 2.32 0.020 9.885057 117.0553 + 1700 | 1.299096 8.171555 0.16 0.874 -14.73254 17.33074 + 1701 | -7.095102 6.807861 -1.04 0.298 -20.45133 6.261129 + 1704 | -.5977135 10.51467 -0.06 0.955 -21.22626 20.03084 + 1705 | 8.499616 9.334204 0.91 0.363 -9.813006 26.81224 + 1706 | 1.02188 6.500616 0.16 0.875 -11.73157 13.77533 + 1707 | -2.037361 6.947018 -0.29 0.769 -15.6666 11.59188 + 1708 | 2.423601 8.203081 0.30 0.768 -13.66989 18.51709 + 1709 | -.7591943 8.449464 -0.09 0.928 -17.33606 15.81767 + 1798 | 7.144542 8.186186 0.87 0.383 -8.915802 23.20489 + 1799 | 20.1294 22.69291 0.89 0.375 -24.39145 64.65024 + 1800 | -3.308657 6.880917 -0.48 0.631 -16.80822 10.1909 + 1802 | 8.030217 9.919679 0.81 0.418 -11.43104 27.49147 + 1803 | 1.023999 6.398056 0.16 0.873 -11.52824 13.57624 + 1804 | -6.628976 6.241998 -1.06 0.288 -18.87505 5.617097 + 1806 | -2.356415 6.20154 -0.38 0.704 -14.52311 9.810285 + 1807 | -5.852393 8.583506 -0.68 0.495 -22.69223 10.98745 + 1808 | 2.898078 9.923211 0.29 0.770 -16.57011 22.36626 + 1899 | -14.703 7.051103 -2.09 0.037 -28.53645 -.86956 + 1900 | -3.92153 7.228339 -0.54 0.588 -18.10269 10.25963 + 1901 | 7.330687 8.739872 0.84 0.402 -9.815924 24.4773 + 1902 | 3.594441 8.236941 0.44 0.663 -12.56548 19.75436 + 1905 | 19.74115 10.08045 1.96 0.050 -.0355195 39.51782 + 1906 | 5.72362 5.901343 0.97 0.332 -5.854128 17.30137 + 1907 | -2.689994 6.570387 -0.41 0.682 -15.58033 10.20034 + 1908 | -3.900902 12.54006 -0.31 0.756 -28.50305 20.70125 + 1909 | -4.952808 8.396946 -0.59 0.555 -21.42664 11.52102 + 1910 | 13.14358 12.29759 1.07 0.285 -10.98286 37.27002 + 1911 | 10.77832 12.06269 0.89 0.372 -12.88727 34.44391 + 1912 | -10.91867 23.40341 -0.47 0.641 -56.83343 34.9961 + 1914 | -4.224544 7.472889 -0.57 0.572 -18.88548 10.43639 + 1915 | -2.863457 6.033119 -0.47 0.635 -14.69973 8.972819 + 1919 | 1.020747 9.127306 0.11 0.911 -16.88597 18.92746 + 1920 | 17.20592 13.18664 1.30 0.192 -8.664736 43.07657 + 1925 | 26.89459 9.212611 2.92 0.004 8.820515 44.96866 + 1926 | 18.51921 9.864384 1.88 0.061 -.833563 37.87198 + 1927 | -2.056877 6.378304 -0.32 0.747 -14.57037 10.45661 + 1929 | -4.16451 7.486464 -0.56 0.578 -18.85208 10.52306 + 1999 | 30.9626 23.56202 1.31 0.189 -15.26335 77.18855 + 2000 | -2.018644 6.900527 -0.29 0.770 -15.55667 11.51939 + 2001 | 7.508232 7.484922 1.00 0.316 -7.176314 22.19278 + 2002 | 2.279924 6.342855 0.36 0.719 -10.16402 14.72387 + 2003 | 16.74713 9.867097 1.70 0.090 -2.610968 36.10522 + 2004 | 15.63484 6.841605 2.29 0.022 2.212412 29.05728 + 2005 | -9.073228 6.772183 -1.34 0.181 -22.35946 4.213006 + 2006 | 90.18668 16.80745 5.37 0.000 57.21243 123.1609 + 2007 | 1.491655 6.253275 0.24 0.812 -10.77654 13.75985 + 2008 | -.9282331 5.34374 -0.17 0.862 -11.41203 9.555563 + 2009 | 10.95181 11.70702 0.94 0.350 -12.01601 33.91963 + 2010 | -11.40353 5.857384 -1.95 0.052 -22.89503 .087977 + 2011 | -8.132742 6.499935 -1.25 0.211 -20.88486 4.619374 + 2012 | -1.324594 6.555556 -0.20 0.840 -14.18583 11.53664 + 2013 | -5.996951 6.342851 -0.95 0.345 -18.44089 6.446984 + 2014 | -2.949047 6.194617 -0.48 0.634 -15.10216 9.204071 + 2015 | -3.344835 7.04099 -0.48 0.635 -17.15844 10.46877 + 2030 | 42.37377 16.30259 2.60 0.009 10.38999 74.35755 + 2099 | 8.375766 9.564946 0.88 0.381 -10.38954 27.14108 + 2100 | 2.93817 13.12907 0.22 0.823 -22.81954 28.69588 + 2101 | 2.223867 6.007642 0.37 0.711 -9.562427 14.01016 + 2102 | -1.703628 6.109317 -0.28 0.780 -13.6894 10.28214 + 2103 | 6.461764 6.634716 0.97 0.330 -6.554777 19.4783 + 2104 | -4.738239 5.588379 -0.85 0.397 -15.70199 6.22551 + 2105 | -6.089924 7.973016 -0.76 0.445 -21.73205 9.552206 + 2199 | -10.33575 6.156383 -1.68 0.093 -22.41386 1.742353 + 9999 | 26.95391 13.62667 1.98 0.048 .2199768 53.68785 + | + house_administration | 6.878295 5.372935 1.28 0.201 -3.662777 17.41937 + house_agriculture | -1.940709 2.151522 -0.90 0.367 -6.161744 2.280327 + house_appropriations | -.5905702 9.617079 -0.06 0.951 -19.45816 18.27702 + house_armedservices | -1.293031 4.664007 -0.28 0.782 -10.44327 7.857208 + house_budget | 2.338088 3.44481 0.68 0.497 -4.420228 9.096404 + house_dc | -1.753427 3.191668 -0.55 0.583 -8.015107 4.508253 + house_educlabor | 9.137794 2.113955 4.32 0.000 4.99046 13.28513 + house_energycommerce | 5.948692 2.113312 2.81 0.005 1.802619 10.09477 + house_foreignaffairs | 11.75576 5.86462 2.00 0.045 .2500559 23.26146 + house_governmentop | -6.441723 3.280002 -1.96 0.050 -12.87671 -.0067402 + house_intelligence | 52.42395 37.8384 1.39 0.166 -21.81058 126.6585 + house_interior | -2.608289 2.462195 -1.06 0.290 -7.438829 2.222251 + house_judiciary | 1.69335 1.71312 0.99 0.323 -1.667593 5.054293 + house_mmf | -2.146912 3.646406 -0.59 0.556 -9.300736 5.006912 + house_pocs | 8.264318 7.840936 1.05 0.292 -7.118685 23.64732 + house_pwt | 4.301286 2.23093 1.93 0.054 -.0755394 8.678112 + house_rules | -.7100289 4.067404 -0.17 0.861 -8.689802 7.269744 + house_sst | 13.31186 5.156881 2.58 0.010 3.19466 23.42906 + house_smallbusi | -6.29901 2.663978 -2.36 0.018 -11.52543 -1.072595 + house_soc | 23.08874 21.03539 1.10 0.273 -18.18025 64.35773 + house_veterans | 2.209528 4.149694 0.53 0.595 -5.931688 10.35074 + house_waysandmeans | 4.291012 1.946717 2.20 0.028 .4717804 8.110243 +house_naturalresources | -.5146239 2.126708 -0.24 0.809 -4.686976 3.657729 + house_bfs | -5.904129 5.546779 -1.06 0.287 -16.78626 4.978006 + house_eeo | 8.097251 5.069625 1.60 0.110 -1.848763 18.04326 + house_govreform | 6.278299 2.074578 3.03 0.003 2.208219 10.34838 + house_ir | 8.040415 3.213364 2.50 0.012 1.73617 14.34466 + house_natsecur | -.6958868 3.415686 -0.20 0.839 -7.397064 6.005291 + house_oversight | -.596885 2.972407 -0.20 0.841 -6.428401 5.234631 + house_resources | 4.130159 2.538442 1.63 0.104 -.8499684 9.110286 + house_science | -4.006975 2.792658 -1.43 0.152 -9.485846 1.471896 + house_transp | .122997 1.447945 0.08 0.932 -2.717702 2.963696 + house_homeland | -.6699747 2.814361 -0.24 0.812 -6.191423 4.851474 + _cons | 8.780938 5.601872 1.57 0.117 -2.209282 19.77116 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,238 1 0 1 1 + + +j = 4 k = 3 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 13.03771 22.75762 .5728944 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(6,677 missing values generated) +(54,574 missing values generated) +(47,897 real changes made) +reg numb_cosponsors sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==200 & tag_bill==1 & tenured==1, robust cluster(group_sponsor) +(sum of wgt is 25,972.1380639076) + +Linear regression Number of obs = 14,848 + F(265, 1009) = . + Prob > F = . + R-squared = 0.1488 + Root MSE = 37.718 + + (Std. Err. adjusted for 1,010 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 4.07141 1.241509 3.28 0.001 1.635174 6.507646 + | + v2 | + 102 | .39512 2.138549 0.18 0.853 -3.801394 4.591634 + 103 | 2.195886 3.13923 0.70 0.484 -3.964281 8.356052 + 104 | 5.266947 2.326641 2.26 0.024 .7013386 9.832556 + 105 | 5.17359 2.167678 2.39 0.017 .9199166 9.427262 + 106 | 11.55262 3.890277 2.97 0.003 3.918665 19.18658 + 107 | 9.56533 2.345946 4.08 0.000 4.961838 14.16882 + 108 | 5.145015 2.869772 1.79 0.073 -.4863909 10.77642 + 109 | 3.922238 2.008125 1.95 0.051 -.0183417 7.862818 + 110 | -.6682962 2.152516 -0.31 0.756 -4.892217 3.555624 + 111 | -2.92171 2.649606 -1.10 0.270 -8.121079 2.27766 + | + minor | + 101 | 14.00952 7.335611 1.91 0.056 -.3852784 28.40432 + 103 | 62.44244 8.156077 7.66 0.000 46.43762 78.44726 + 104 | 12.20807 8.286699 1.47 0.141 -4.053067 28.46921 + 105 | 4.461598 7.247186 0.62 0.538 -9.759684 18.68288 + 107 | 25.0553 7.674784 3.26 0.001 9.994934 40.11566 + 108 | 13.24659 6.889125 1.92 0.055 -.2720621 26.76524 + 110 | 17.63283 7.296498 2.42 0.016 3.314778 31.95087 + 200 | 22.21431 9.889425 2.25 0.025 2.808112 41.6205 + 201 | 19.61544 11.01982 1.78 0.075 -2.008943 41.23983 + 202 | 45.68477 22.69391 2.01 0.044 1.152103 90.21745 + 204 | 13.90734 8.508522 1.63 0.102 -2.789083 30.60377 + 205 | 9.713361 8.045877 1.21 0.228 -6.075206 25.50193 + 206 | 21.85649 13.8092 1.58 0.114 -5.241545 48.95452 + 207 | 28.3706 9.78969 2.90 0.004 9.160114 47.58108 + 208 | 15.18517 8.149126 1.86 0.063 -.8060019 31.17635 + 299 | 110.7645 15.35426 7.21 0.000 80.63461 140.8945 + 300 | 23.8574 14.8043 1.61 0.107 -5.193337 52.90814 + 301 | 20.44945 8.909381 2.30 0.022 2.966416 37.93249 + 302 | 24.14217 9.061124 2.66 0.008 6.361366 41.92298 + 321 | 13.71798 8.154206 1.68 0.093 -2.283165 29.71912 + 322 | 22.36379 9.751079 2.29 0.022 3.229075 41.49851 + 323 | 12.98775 7.561809 1.72 0.086 -1.850925 27.82642 + 324 | 6.978396 7.640792 0.91 0.361 -8.015266 21.97206 + 325 | 28.92595 14.74492 1.96 0.050 -.0082623 57.86016 + 331 | 55.56532 12.27618 4.53 0.000 31.47556 79.65508 + 332 | 22.1647 7.930499 2.79 0.005 6.602541 37.72686 + 333 | 27.98427 20.9304 1.34 0.182 -13.08783 69.05637 + 334 | 23.02663 11.301 2.04 0.042 .8504801 45.20278 + 335 | 44.59023 16.23738 2.75 0.006 12.72733 76.45313 + 336 | 57.60683 23.29922 2.47 0.014 11.88635 103.3273 + 341 | 21.4151 10.34242 2.07 0.039 1.119987 41.71021 + 342 | -4.520812 6.902175 -0.65 0.513 -18.06507 9.023449 + 343 | 13.58975 8.434329 1.61 0.107 -2.961084 30.14058 + 344 | 40.04116 12.77396 3.13 0.002 14.97458 65.10773 + 398 | 42.35117 10.76609 3.93 0.000 21.22468 63.47766 + 399 | 14.52479 8.121965 1.79 0.074 -1.413088 30.46267 + 400 | 8.300939 6.892942 1.20 0.229 -5.225203 21.82708 + 401 | 8.818732 7.132747 1.24 0.217 -5.177985 22.81545 + 402 | 11.39546 6.620168 1.72 0.085 -1.595411 24.38634 + 403 | 16.01764 9.474295 1.69 0.091 -2.573938 34.60922 + 404 | 18.05253 6.990225 2.58 0.010 4.335489 31.76958 + 405 | 8.475443 7.804282 1.09 0.278 -6.839039 23.78992 + 498 | 4.733314 6.71591 0.70 0.481 -8.445435 17.91206 + 499 | 8.959316 7.145519 1.25 0.210 -5.062463 22.98109 + 500 | 13.46585 7.248574 1.86 0.063 -.7581569 27.68986 + 501 | 16.95651 7.717802 2.20 0.028 1.811726 32.10129 + 502 | 15.31866 7.519774 2.04 0.042 .5624766 30.07485 + 503 | 24.92853 8.38406 2.97 0.003 8.476339 41.38072 + 504 | 33.26249 9.239701 3.60 0.000 15.13126 51.39372 + 505 | 16.53986 7.778437 2.13 0.034 1.276098 31.80363 + 506 | 10.27851 7.537409 1.36 0.173 -4.512284 25.0693 + 508 | 2.942212 7.306283 0.40 0.687 -11.39504 17.27946 + 529 | 24.15423 11.01981 2.19 0.029 2.529859 45.77861 + 530 | 11.54405 7.134165 1.62 0.106 -2.45545 25.54355 + 599 | 18.62987 11.46155 1.63 0.104 -3.86134 41.12108 + 600 | 19.61834 8.461998 2.32 0.021 3.013207 36.22347 + 601 | 18.92058 6.923921 2.73 0.006 5.33365 32.50752 + 602 | 33.69247 11.08032 3.04 0.002 11.94935 55.43559 + 603 | 19.19346 10.13864 1.89 0.059 -.7017669 39.08868 + 604 | 10.6419 6.426409 1.66 0.098 -1.968755 23.25256 + 606 | 35.38907 10.54825 3.35 0.001 14.69006 56.08809 + 607 | 21.47736 7.872522 2.73 0.006 6.028969 36.92575 + 609 | 15.95745 8.322878 1.92 0.055 -.3746764 32.28959 + 698 | 12.74264 12.13923 1.05 0.294 -11.07839 36.56367 + 699 | 3.813719 7.661297 0.50 0.619 -11.22018 18.84762 + 700 | 13.30395 6.995399 1.90 0.057 -.4232447 27.03115 + 701 | 26.61986 17.60348 1.51 0.131 -7.923768 61.16349 + 703 | 7.043361 6.504578 1.08 0.279 -5.720689 19.80741 + 704 | 7.682234 7.510753 1.02 0.307 -7.05625 22.42072 + 705 | 5.45744 6.93832 0.79 0.432 -8.15775 19.07263 + 707 | -1.110133 6.398376 -0.17 0.862 -13.66578 11.44551 + 708 | 30.57226 17.95465 1.70 0.089 -4.660461 65.80498 + 709 | 18.37429 7.54181 2.44 0.015 3.574861 33.17372 + 710 | 10.66217 6.578944 1.62 0.105 -2.247815 23.57214 + 711 | 10.02217 6.786721 1.48 0.140 -3.295535 23.33987 + 798 | 17.83399 12.57176 1.42 0.156 -6.835796 42.50378 + 799 | 8.739907 7.347317 1.19 0.235 -5.677865 23.15768 + 800 | 1.316377 6.907186 0.19 0.849 -12.23772 14.87047 + 801 | 5.983516 8.143926 0.73 0.463 -9.997457 21.96449 + 802 | 10.40329 8.396037 1.24 0.216 -6.072407 26.87898 + 803 | 16.70137 7.395638 2.26 0.024 2.188778 31.21396 + 805 | 6.630606 6.789327 0.98 0.329 -6.692212 19.95342 + 806 | 12.36528 7.165661 1.73 0.085 -1.696024 26.42659 + 807 | 14.45279 7.30126 1.98 0.048 .1253935 28.78018 + 898 | 9.60396 6.808997 1.41 0.159 -3.757456 22.96538 + 899 | -1.455026 7.669684 -0.19 0.850 -16.50538 13.59533 + 1000 | 4.482276 8.609916 0.52 0.603 -12.41312 21.37767 + 1001 | 16.59726 7.420149 2.24 0.026 2.036569 31.15795 + 1002 | 13.6615 7.997215 1.71 0.088 -2.031575 29.35458 + 1003 | 17.46237 10.9369 1.60 0.111 -3.999302 38.92405 + 1005 | 6.330369 7.754759 0.82 0.415 -8.886932 21.54767 + 1006 | 22.33649 9.794238 2.28 0.023 3.117086 41.5559 + 1007 | 8.663924 6.62225 1.31 0.191 -4.331036 21.65888 + 1010 | 8.579331 8.79001 0.98 0.329 -8.669463 25.82812 + 1098 | -.4439859 6.427215 -0.07 0.945 -13.05622 12.16825 + 1099 | -.6154766 8.764978 -0.07 0.944 -17.81515 16.5842 + 1200 | 11.13293 9.062677 1.23 0.220 -6.65092 28.91679 + 1201 | 10.11062 8.16634 1.24 0.216 -5.914335 26.13558 + 1202 | 4.008995 8.955711 0.45 0.655 -13.56496 21.58295 + 1203 | 13.20852 7.977339 1.66 0.098 -2.445556 28.86259 + 1204 | 8.98281 7.540069 1.19 0.234 -5.813203 23.77882 + 1205 | 15.43548 7.830678 1.97 0.049 .0691983 30.80176 + 1206 | 1.815044 6.834187 0.27 0.791 -11.5958 15.22589 + 1207 | 15.2562 8.1765 1.87 0.062 -.7886913 31.30109 + 1208 | 16.24858 8.508401 1.91 0.056 -.4476042 32.94477 + 1209 | 29.01902 8.494284 3.42 0.001 12.35053 45.6875 + 1210 | 19.21546 8.374821 2.29 0.022 2.781396 35.64952 + 1211 | 31.37473 22.12268 1.42 0.156 -12.03701 74.78646 + 1299 | 15.81946 8.465938 1.87 0.062 -.7933994 32.43232 + 1300 | 34.1006 10.98151 3.11 0.002 12.55139 55.64981 + 1301 | 8.907212 8.285875 1.07 0.283 -7.352309 25.16673 + 1302 | 3.57151 7.681989 0.46 0.642 -11.50299 18.64601 + 1303 | 12.56759 7.786108 1.61 0.107 -2.711225 27.84641 + 1304 | 10.90522 8.851004 1.23 0.218 -6.463267 28.2737 + 1305 | 48.10976 17.49985 2.75 0.006 13.76948 82.45003 + 1399 | 9.783477 12.12071 0.81 0.420 -14.00121 33.56816 + 1400 | 21.68995 8.050267 2.69 0.007 5.892765 37.48713 + 1401 | 20.33038 9.704466 2.09 0.036 1.287138 39.37363 + 1403 | 5.98632 7.09723 0.84 0.399 -7.940701 19.91334 + 1404 | 11.23267 6.965617 1.61 0.107 -2.436084 24.90143 + 1405 | 9.101531 6.837644 1.33 0.183 -4.316099 22.51916 + 1406 | 23.47141 13.65585 1.72 0.086 -3.325713 50.26854 + 1407 | 21.18021 7.92272 2.67 0.008 5.633318 36.72711 + 1408 | 4.852591 7.425335 0.65 0.514 -9.718275 19.42346 + 1409 | 27.69688 17.52586 1.58 0.114 -6.694423 62.08819 + 1410 | 19.74599 7.341396 2.69 0.007 5.339837 34.15214 + 1499 | 19.9008 10.19387 1.95 0.051 -.1028269 39.90442 + 1500 | 12.06287 9.344299 1.29 0.197 -6.273614 30.39936 + 1501 | 19.08172 7.40846 2.58 0.010 4.543966 33.61947 + 1502 | 14.21966 7.72898 1.84 0.066 -.9470593 29.38637 + 1504 | 19.69086 8.789199 2.24 0.025 2.443661 36.93806 + 1505 | 12.75376 7.96227 1.60 0.110 -2.870741 28.37827 + 1507 | 20.91105 10.34325 2.02 0.043 .6143119 41.20779 + 1520 | 10.18471 7.983534 1.28 0.202 -5.481521 25.85094 + 1521 | 10.28202 6.917481 1.49 0.137 -3.292279 23.85631 + 1522 | 6.719128 7.636383 0.88 0.379 -8.265882 21.70414 + 1523 | 10.4353 7.014668 1.49 0.137 -3.329707 24.20031 + 1524 | 47.57539 30.07603 1.58 0.114 -11.44333 106.5941 + 1525 | 15.13487 8.375299 1.81 0.071 -1.300133 31.56986 + 1526 | 20.38789 9.439859 2.16 0.031 1.863887 38.91189 + 1599 | 18.03346 11.91 1.51 0.130 -5.337754 41.40466 + 1600 | 5.285263 6.713958 0.79 0.431 -7.889656 18.46018 + 1602 | 32.46247 15.19713 2.14 0.033 2.640863 62.28408 + 1603 | 22.0065 9.636674 2.28 0.023 3.096286 40.91672 + 1604 | 18.13666 7.624087 2.38 0.018 3.175774 33.09754 + 1605 | 26.87074 9.777455 2.75 0.006 7.684269 46.05722 + 1606 | 10.49536 9.310129 1.13 0.260 -7.77407 28.76479 + 1608 | 28.17586 8.13973 3.46 0.001 12.20312 44.1486 + 1609 | 34.36384 8.284348 4.15 0.000 18.10731 50.62036 + 1610 | 43.69025 20.93943 2.09 0.037 2.600432 84.78006 + 1611 | 19.23227 9.974022 1.93 0.054 -.3399332 38.80447 + 1612 | 12.83783 7.710317 1.67 0.096 -2.29226 27.96793 + 1614 | -5.45217 6.873802 -0.79 0.428 -18.94075 8.036415 + 1615 | 11.62795 7.449702 1.56 0.119 -2.990736 26.24663 + 1616 | -.1719074 5.559851 -0.03 0.975 -11.0821 10.73829 + 1617 | 21.08688 9.415493 2.24 0.025 2.610689 39.56307 + 1619 | 16.86691 8.190425 2.06 0.040 .7946893 32.93913 + 1620 | -.5804209 7.177265 -0.08 0.936 -14.6645 13.50365 + 1698 | -2.137839 7.861844 -0.27 0.786 -17.56528 13.2896 + 1699 | 24.88655 11.23585 2.21 0.027 2.838232 46.93486 + 1700 | 10.44196 8.308937 1.26 0.209 -5.862813 26.74674 + 1701 | 9.933638 7.016509 1.42 0.157 -3.834983 23.70226 + 1704 | 5.226455 6.540842 0.80 0.424 -7.608756 18.06167 + 1705 | 5.015951 6.297397 0.80 0.426 -7.341543 17.37345 + 1706 | 22.62478 9.285543 2.44 0.015 4.403593 40.84597 + 1707 | 18.7115 8.650519 2.16 0.031 1.736431 35.68657 + 1708 | 11.51441 6.998466 1.65 0.100 -2.218804 25.24763 + 1709 | 20.12307 8.327978 2.42 0.016 3.780926 36.46521 + 1798 | 47.45193 15.25003 3.11 0.002 17.52652 77.37734 + 1799 | 3.080555 7.105625 0.43 0.665 -10.86294 17.02405 + 1800 | 6.880809 7.32145 0.94 0.348 -7.486203 21.24782 + 1802 | 5.607972 6.848173 0.82 0.413 -7.83032 19.04626 + 1803 | 12.01326 7.177719 1.67 0.095 -2.071703 26.09823 + 1804 | 8.71587 6.998213 1.25 0.213 -5.016849 22.44859 + 1806 | 7.028401 6.703758 1.05 0.295 -6.126504 20.18331 + 1807 | .0634921 6.647881 0.01 0.992 -12.98176 13.10875 + 1808 | 2.041345 7.180719 0.28 0.776 -12.04951 16.1322 + 1899 | -1.492723 6.859915 -0.22 0.828 -14.95406 11.96861 + 1900 | 1.706296 6.776449 0.25 0.801 -11.59125 15.00384 + 1901 | 10.86881 6.841103 1.59 0.112 -2.555613 24.29322 + 1902 | 40.61173 17.36859 2.34 0.020 6.529026 74.69443 + 1905 | 18.17898 10.31328 1.76 0.078 -2.058965 38.41692 + 1906 | 17.76604 7.773174 2.29 0.022 2.512605 33.01948 + 1907 | 18.6286 8.752272 2.13 0.034 1.453859 35.80334 + 1908 | 9.73955 10.52513 0.93 0.355 -10.9141 30.3932 + 1909 | 7.145849 7.67402 0.93 0.352 -7.913017 22.20472 + 1910 | 20.14795 11.69044 1.72 0.085 -2.792416 43.08831 + 1911 | 13.67254 8.492011 1.61 0.108 -2.991481 30.33657 + 1912 | 1.759298 6.279293 0.28 0.779 -10.56267 14.08127 + 1914 | 10.88492 6.83556 1.59 0.112 -2.528626 24.29846 + 1915 | 4.03089 7.074932 0.57 0.569 -9.852375 17.91415 + 1919 | 12.48128 6.698864 1.86 0.063 -.6640224 25.62658 + 1920 | 50.94602 13.42256 3.80 0.000 24.60668 77.28536 + 1925 | 23.47664 8.201446 2.86 0.004 7.382798 39.57049 + 1926 | 16.62473 7.635906 2.18 0.030 1.640652 31.6088 + 1927 | 6.836624 6.977989 0.98 0.327 -6.856408 20.52966 + 1929 | 17.85065 7.808075 2.29 0.022 2.528724 33.17258 + 1999 | 7.015618 7.166124 0.98 0.328 -7.046595 21.07783 + 2000 | 8.780794 6.869839 1.28 0.201 -4.700013 22.2616 + 2001 | 11.81231 6.919199 1.71 0.088 -1.765358 25.38998 + 2002 | 12.96521 7.556742 1.72 0.087 -1.863523 27.79394 + 2003 | 28.4825 13.53907 2.10 0.036 1.914533 55.05046 + 2004 | 10.81025 6.781641 1.59 0.111 -2.497481 24.11799 + 2005 | 42.62927 32.83101 1.30 0.194 -21.7956 107.0542 + 2006 | 92.96355 20.37737 4.56 0.000 52.97667 132.9504 + 2007 | 13.58651 10.68203 1.27 0.204 -7.375043 34.54805 + 2008 | 12.65552 6.885377 1.84 0.066 -.8557812 26.16682 + 2009 | 5.869883 7.466194 0.79 0.432 -8.781163 20.52093 + 2011 | 4.934618 6.618795 0.75 0.456 -8.053562 17.9228 + 2012 | 7.313146 7.235321 1.01 0.312 -6.884854 21.51115 + 2013 | 16.50446 8.432577 1.96 0.051 -.0429395 33.05185 + 2014 | 4.526649 8.051853 0.56 0.574 -11.27365 20.32694 + 2015 | .7535938 8.127366 0.09 0.926 -15.19488 16.70207 + 2030 | 70.88775 43.37783 1.63 0.103 -14.23334 156.0088 + 2099 | 17.04311 9.276872 1.84 0.066 -1.161062 35.24728 + 2100 | 14.88805 8.679056 1.72 0.087 -2.143014 31.91912 + 2101 | 16.99119 6.722509 2.53 0.012 3.799492 30.18289 + 2102 | 6.865646 6.571178 1.04 0.296 -6.029093 19.76038 + 2103 | 10.38215 7.143456 1.45 0.146 -3.635577 24.39988 + 2104 | 7.877558 6.589464 1.20 0.232 -5.053066 20.80818 + 2105 | 15.11871 7.976893 1.90 0.058 -.5344925 30.77191 + 2199 | 2.336885 6.827392 0.34 0.732 -11.06063 15.7344 + 9999 | 43.37804 20.28106 2.14 0.033 3.580165 83.17592 + | + house_administration | 4.78764 3.228125 1.48 0.138 -1.546967 11.12225 + house_agriculture | 3.202159 2.012126 1.59 0.112 -.746272 7.15059 + house_appropriations | -2.788674 2.003456 -1.39 0.164 -6.720092 1.142744 + house_armedservices | .1399559 2.962996 0.05 0.962 -5.674384 5.954295 + house_budget | 14.56143 4.978356 2.92 0.004 4.792314 24.33055 + house_dc | 7.002402 4.815831 1.45 0.146 -2.44779 16.45259 + house_educlabor | -.8295968 2.806081 -0.30 0.768 -6.336019 4.676825 + house_energycommerce | 7.524248 2.078563 3.62 0.000 3.445447 11.60305 + house_foreignaffairs | 4.143303 3.239582 1.28 0.201 -2.213787 10.50039 + house_governmentop | 15.39877 4.352368 3.54 0.000 6.858038 23.9395 + house_intelligence | -9.169801 4.627156 -1.98 0.048 -18.24975 -.08985 + house_interior | 1.796201 2.918824 0.62 0.538 -3.931459 7.523861 + house_judiciary | 6.921867 2.121766 3.26 0.001 2.758287 11.08545 + house_mmf | 2.955819 2.90957 1.02 0.310 -2.753682 8.66532 + house_pocs | 14.8692 7.904019 1.88 0.060 -.6409957 30.3794 + house_pwt | 7.163551 3.703932 1.93 0.053 -.1047405 14.43184 + house_rules | 2.447974 2.481695 0.99 0.324 -2.421899 7.317848 + house_sst | 6.575624 6.717062 0.98 0.328 -6.605388 19.75664 + house_smallbusi | -1.952785 4.248245 -0.46 0.646 -10.28919 6.383622 + house_soc | -5.534304 5.34452 -1.04 0.301 -16.02195 4.953344 + house_veterans | -6.823468 3.416196 -2.00 0.046 -13.52713 -.119806 + house_waysandmeans | 5.151677 1.874415 2.75 0.006 1.47348 8.829874 +house_naturalresources | 3.648477 2.874437 1.27 0.205 -1.992083 9.289036 + house_bfs | -4.590036 2.043424 -2.25 0.025 -8.599884 -.5801885 + house_eeo | -2.110603 5.639069 -0.37 0.708 -13.17625 8.955042 + house_govreform | 3.94811 2.598206 1.52 0.129 -1.150396 9.046615 + house_ir | 6.750238 2.448697 2.76 0.006 1.945116 11.55536 + house_natsecur | -1.623155 6.503018 -0.25 0.803 -14.38414 11.13783 + house_oversight | 7.651526 3.866395 1.98 0.048 .0644291 15.23862 + house_resources | -3.526605 1.913967 -1.84 0.066 -7.282417 .2292062 + house_science | -2.503714 3.594395 -0.70 0.486 -9.55706 4.549632 + house_transp | 5.280769 2.436926 2.17 0.030 .4987462 10.06279 + house_homeland | 1.184491 2.526534 0.47 0.639 -3.773372 6.142354 + _cons | -9.12108 7.009402 -1.30 0.193 -22.87576 4.633595 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,010 1 0 1 1 + + +j = 5 k = 1 + + +rdbwselect_2014 numb_cosponsors MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11990 +----------------------+---------------------- NN matches = 3 + Number of obs | 6151 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 25.22792 46.13311 .5468506 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(7,341 missing values generated) +(54,749 missing values generated) +(47,408 real changes made) +reg numb_cosponsors sponsor_female i.v2 i.minor house_* [aw=wt] if tag_bill==1 & tenured==1, robust cluster(group_sponsor) +(sum of wgt is 71,426.4201289415) + +Linear regression Number of obs = 33,481 + F(268, 2231) = . + Prob > F = . + R-squared = 0.1467 + Root MSE = 34.424 + + (Std. Err. adjusted for 2,232 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -.0116833 .8776874 -0.01 0.989 -1.732853 1.709486 + | + v2 | + 102 | .8257036 1.834746 0.45 0.653 -2.772284 4.423691 + 103 | -3.570217 2.322709 -1.54 0.124 -8.125114 .98468 + 104 | .6636913 2.073308 0.32 0.749 -3.402124 4.729507 + 105 | 3.532348 2.250515 1.57 0.117 -.8809754 7.945671 + 106 | 4.868706 2.862254 1.70 0.089 -.744255 10.48167 + 107 | 7.016604 2.405236 2.92 0.004 2.29987 11.73334 + 108 | 6.569974 2.18729 3.00 0.003 2.280637 10.85931 + 109 | 3.48888 1.778188 1.96 0.050 .0018042 6.975956 + 110 | 5.701799 2.202567 2.59 0.010 1.382504 10.02109 + 111 | -.8438153 2.639497 -0.32 0.749 -6.019942 4.332312 + | + minor | + 101 | 13.7131 5.589696 2.45 0.014 2.751554 24.67466 + 103 | 3.506746 7.140172 0.49 0.623 -10.49533 17.50882 + 104 | 12.51885 4.871606 2.57 0.010 2.965491 22.0722 + 105 | 14.2768 4.917834 2.90 0.004 4.632791 23.92081 + 107 | 20.51177 5.886709 3.48 0.001 8.967767 32.05577 + 108 | 16.90164 6.527077 2.59 0.010 4.101861 29.70142 + 110 | 14.15902 11.57338 1.22 0.221 -8.536707 36.85475 + 200 | 28.54226 6.810899 4.19 0.000 15.1859 41.89862 + 201 | 16.85379 6.521621 2.58 0.010 4.06471 29.64287 + 202 | 79.82593 11.68838 6.83 0.000 56.90469 102.7472 + 204 | .4669076 8.511639 0.05 0.956 -16.22465 17.15847 + 205 | 88.37524 34.84559 2.54 0.011 20.04206 156.7084 + 206 | 16.78662 6.951265 2.41 0.016 3.154993 30.41824 + 207 | 43.35113 8.704587 4.98 0.000 26.28119 60.42107 + 208 | 15.33057 5.905273 2.60 0.009 3.750161 26.91097 + 209 | 24.76152 13.09071 1.89 0.059 -.9097342 50.43277 + 299 | 91.34235 19.54485 4.67 0.000 53.01436 129.6703 + 300 | 23.38478 7.032135 3.33 0.001 9.594567 37.17499 + 301 | 25.10098 6.601121 3.80 0.000 12.156 38.04596 + 302 | 22.78075 5.502311 4.14 0.000 11.99056 33.57093 + 321 | 31.8339 13.22529 2.41 0.016 5.898735 57.76907 + 322 | 11.96626 5.500215 2.18 0.030 1.180181 22.75233 + 323 | 13.57409 7.554055 1.80 0.072 -1.239625 28.3878 + 324 | 9.926883 5.343679 1.86 0.063 -.5522208 20.40599 + 325 | 22.03015 8.012688 2.75 0.006 6.31704 37.74325 + 331 | 39.41379 6.569932 6.00 0.000 26.52997 52.29761 + 332 | 19.44333 5.782566 3.36 0.001 8.103562 30.78311 + 333 | 29.4479 8.759424 3.36 0.001 12.27043 46.62538 + 334 | 21.64805 5.788689 3.74 0.000 10.29627 32.99983 + 335 | 28.15958 12.37562 2.28 0.023 3.890652 52.42851 + 336 | 40.06659 10.20558 3.93 0.000 20.05316 60.08002 + 341 | 20.78341 5.393282 3.85 0.000 10.20703 31.35979 + 342 | 15.0282 9.074235 1.66 0.098 -2.766624 32.82303 + 343 | 18.40814 5.723533 3.22 0.001 7.18413 29.63214 + 344 | 14.54339 7.134031 2.04 0.042 .5533595 28.53343 + 398 | 33.7908 9.119708 3.71 0.000 15.9068 51.6748 + 399 | 16.12177 5.786336 2.79 0.005 4.774609 27.46894 + 400 | 17.08894 9.258915 1.85 0.065 -1.068055 35.24593 + 401 | 7.077051 4.601112 1.54 0.124 -1.945858 16.09996 + 402 | 14.40752 4.383323 3.29 0.001 5.811699 23.00334 + 403 | 13.82615 4.600406 3.01 0.003 4.804622 22.84767 + 404 | 14.32337 4.851506 2.95 0.003 4.809431 23.83731 + 405 | 27.74376 8.811866 3.15 0.002 10.46345 45.02408 + 498 | 22.48131 12.36056 1.82 0.069 -1.758093 46.72071 + 499 | 8.069725 4.498164 1.79 0.073 -.751301 16.89075 + 500 | 5.360169 5.434542 0.99 0.324 -5.297119 16.01746 + 501 | 14.77631 5.823107 2.54 0.011 3.35703 26.19558 + 502 | 10.34067 7.755197 1.33 0.183 -4.867488 25.54883 + 503 | 13.22063 6.606978 2.00 0.046 .2641581 26.17709 + 504 | 27.72503 7.429778 3.73 0.000 13.15503 42.29503 + 505 | 17.61865 6.254592 2.82 0.005 5.353225 29.88408 + 506 | 22.26921 6.923224 3.22 0.001 8.692575 35.84584 + 508 | 9.696847 5.980041 1.62 0.105 -2.03018 21.42387 + 529 | 14.40729 7.152106 2.01 0.044 .3818077 28.43277 + 530 | 10.14213 4.908849 2.07 0.039 .5157454 19.76852 + 599 | 16.53742 9.137575 1.81 0.070 -1.381619 34.45646 + 600 | 15.78873 7.283359 2.17 0.030 1.50586 30.0716 + 601 | 16.39303 5.340995 3.07 0.002 5.919187 26.86687 + 602 | 16.77293 6.896182 2.43 0.015 3.249328 30.29654 + 603 | 14.08934 6.279787 2.24 0.025 1.7745 26.40418 + 604 | 8.792284 6.299677 1.40 0.163 -3.561557 21.14613 + 606 | 17.27851 7.814951 2.21 0.027 1.953172 32.60385 + 607 | 18.0863 6.060694 2.98 0.003 6.201114 29.97149 + 609 | 19.77981 6.914944 2.86 0.004 6.219415 33.34021 + 698 | 5.046986 5.460018 0.92 0.355 -5.660261 15.75423 + 699 | 11.17972 6.436058 1.74 0.083 -1.44157 23.80101 + 700 | 16.38287 4.657357 3.52 0.000 7.249666 25.51608 + 701 | 21.25712 8.143333 2.61 0.009 5.287813 37.22642 + 703 | 13.36802 4.576021 2.92 0.004 4.394314 22.34172 + 704 | 13.97893 4.945184 2.83 0.005 4.281288 23.67658 + 705 | 12.6585 5.4328 2.33 0.020 2.00463 23.31238 + 707 | 11.25406 4.799965 2.34 0.019 1.841196 20.66693 + 708 | 18.4622 6.124307 3.01 0.003 6.452263 30.47214 + 709 | 21.13785 5.295321 3.99 0.000 10.75358 31.52212 + 710 | 14.52453 4.664928 3.11 0.002 5.376477 23.67259 + 711 | 20.62377 5.496877 3.75 0.000 9.844238 31.40329 + 798 | 21.27703 6.421504 3.31 0.001 8.684282 33.86978 + 799 | 4.544248 4.842195 0.94 0.348 -4.951432 14.03993 + 800 | 11.81167 5.985646 1.97 0.049 .0736531 23.54969 + 801 | 8.077508 4.438044 1.82 0.069 -.6256205 16.78064 + 802 | 11.34837 5.450511 2.08 0.037 .6597692 22.03698 + 803 | 12.41313 4.756475 2.61 0.009 3.085555 21.74071 + 805 | 9.969029 4.842614 2.06 0.040 .4725284 19.46553 + 806 | 10.59408 4.768757 2.22 0.026 1.242412 19.94574 + 807 | 13.30011 5.636179 2.36 0.018 2.247409 24.35282 + 898 | 10.25841 5.653408 1.81 0.070 -.8280861 21.3449 + 899 | 4.869306 5.930016 0.82 0.412 -6.759622 16.49823 + 1000 | 7.706495 5.037058 1.53 0.126 -2.171315 17.58431 + 1001 | 12.53961 4.991609 2.51 0.012 2.750925 22.32829 + 1002 | 10.93619 5.460759 2.00 0.045 .2274929 21.64489 + 1003 | 12.77635 5.379965 2.37 0.018 2.226092 23.32662 + 1005 | 9.125361 4.88864 1.87 0.062 -.461398 18.71212 + 1006 | 50.31603 19.90216 2.53 0.012 11.28734 89.34472 + 1007 | 10.88175 4.195389 2.59 0.010 2.654473 19.10902 + 1010 | 18.89598 6.942643 2.72 0.007 5.281263 32.5107 + 1098 | 2.931899 4.738689 0.62 0.536 -6.360802 12.2246 + 1099 | 13.38458 8.736086 1.53 0.126 -3.74713 30.51629 + 1200 | 17.34184 6.995445 2.48 0.013 3.62358 31.06011 + 1201 | 12.37911 4.242465 2.92 0.004 4.059514 20.6987 + 1202 | 7.854338 5.694779 1.38 0.168 -3.313282 19.02196 + 1203 | 13.84088 5.520143 2.51 0.012 3.015725 24.66603 + 1204 | 6.691314 5.007692 1.34 0.182 -3.128911 16.51154 + 1205 | 13.24726 5.834393 2.27 0.023 1.805856 24.68867 + 1206 | 8.700738 6.153084 1.41 0.157 -3.365631 20.76711 + 1207 | 12.35987 8.300948 1.49 0.137 -3.918523 28.63826 + 1208 | 28.58805 5.698432 5.02 0.000 17.41327 39.76284 + 1209 | 18.8971 5.348307 3.53 0.000 8.408925 29.38528 + 1210 | 13.84155 5.318108 2.60 0.009 3.412594 24.27051 + 1211 | 23.09582 8.481553 2.72 0.007 6.463256 39.72838 + 1299 | 21.32137 9.108979 2.34 0.019 3.458413 39.18434 + 1300 | 32.92571 7.128418 4.62 0.000 18.94668 46.90474 + 1301 | 18.83613 5.903446 3.19 0.001 7.259309 30.41295 + 1302 | 9.663494 5.332089 1.81 0.070 -.7928809 20.11987 + 1303 | 20.93939 5.490774 3.81 0.000 10.17183 31.70696 + 1304 | 18.40909 6.852995 2.69 0.007 4.970178 31.84801 + 1305 | 20.77263 7.61453 2.73 0.006 5.840323 35.70494 + 1399 | 20.09247 14.77969 1.36 0.174 -8.890913 49.07585 + 1400 | 19.49482 5.460631 3.57 0.000 8.786373 30.20327 + 1401 | 17.9584 5.252781 3.42 0.001 7.657552 28.25925 + 1403 | 22.16045 7.424874 2.98 0.003 7.600067 36.72084 + 1404 | 16.80289 5.982941 2.81 0.005 5.070173 28.5356 + 1405 | 12.43078 4.822327 2.58 0.010 2.974067 21.8875 + 1406 | 19.2583 5.987581 3.22 0.001 7.51649 31.00012 + 1407 | 16.37788 5.744799 2.85 0.004 5.112164 27.64359 + 1408 | 11.25597 5.877952 1.91 0.056 -.270855 22.7828 + 1409 | 36.29122 14.90077 2.44 0.015 7.070397 65.51205 + 1410 | 18.9087 5.465006 3.46 0.001 8.19167 29.62573 + 1499 | 12.69544 5.850372 2.17 0.030 1.222696 24.16818 + 1500 | 10.19348 5.245312 1.94 0.052 -.0927258 20.47968 + 1501 | 20.98653 5.006985 4.19 0.000 11.16769 30.80537 + 1502 | 23.68535 7.066517 3.35 0.001 9.827716 37.54299 + 1504 | 30.54777 11.93503 2.56 0.011 7.142853 53.95269 + 1505 | 13.38916 5.767537 2.32 0.020 2.078864 24.69946 + 1507 | 5.359211 7.101355 0.75 0.451 -8.566744 19.28517 + 1520 | 13.10446 5.151512 2.54 0.011 3.002198 23.20672 + 1521 | 15.07969 4.705142 3.20 0.001 5.85278 24.30661 + 1522 | 8.609647 5.104874 1.69 0.092 -1.401154 18.62045 + 1523 | 10.45128 4.656473 2.24 0.025 1.319805 19.58275 + 1524 | 29.52489 11.36205 2.60 0.009 7.243603 51.80618 + 1525 | 19.14555 5.125664 3.74 0.000 9.093983 29.19712 + 1526 | 13.36654 5.74384 2.33 0.020 2.102711 24.63037 + 1599 | 19.01009 6.193326 3.07 0.002 6.864802 31.15537 + 1600 | 8.379806 4.724131 1.77 0.076 -.8843464 17.64396 + 1602 | 24.13447 8.928133 2.70 0.007 6.626151 41.64279 + 1603 | .0479716 11.8463 0.00 0.997 -23.18294 23.27889 + 1604 | 12.88328 5.049431 2.55 0.011 2.981208 22.78536 + 1605 | 24.89974 6.236453 3.99 0.000 12.66988 37.1296 + 1606 | 12.29994 4.975633 2.47 0.014 2.542585 22.05729 + 1608 | 16.65255 6.796767 2.45 0.014 3.323897 29.9812 + 1609 | 25.19492 5.326445 4.73 0.000 14.74961 35.64023 + 1610 | 21.16236 6.690568 3.16 0.002 8.041971 34.28275 + 1611 | 11.24843 5.080589 2.21 0.027 1.285255 21.21161 + 1612 | 18.22503 5.338604 3.41 0.001 7.755883 28.69419 + 1614 | 8.354174 6.66407 1.25 0.210 -4.714254 21.4226 + 1615 | 9.794875 4.60224 2.13 0.033 .7697541 18.82 + 1616 | 7.750448 5.564528 1.39 0.164 -3.161747 18.66264 + 1617 | 9.269845 5.012391 1.85 0.065 -.5595942 19.09928 + 1619 | 15.01598 5.512088 2.72 0.006 4.206625 25.82534 + 1620 | .5538947 5.165556 0.11 0.915 -9.575904 10.68369 + 1698 | 5.872149 4.757281 1.23 0.217 -3.457013 15.20131 + 1699 | 56.3424 17.20867 3.27 0.001 22.59573 90.08907 + 1700 | 12.18993 5.908753 2.06 0.039 .6027044 23.77716 + 1701 | 6.762953 4.404165 1.54 0.125 -1.873738 15.39964 + 1704 | 7.143713 4.585069 1.56 0.119 -1.847736 16.13516 + 1705 | 20.27084 5.754187 3.52 0.000 8.986721 31.55496 + 1706 | 23.17218 6.856493 3.38 0.001 9.726404 36.61795 + 1707 | 15.32564 4.76071 3.22 0.001 5.989751 24.66152 + 1708 | 12.28565 5.02221 2.45 0.015 2.436953 22.13434 + 1709 | 19.23836 6.485835 2.97 0.003 6.519454 31.95726 + 1798 | 35.66396 9.158424 3.89 0.000 17.70403 53.62388 + 1799 | 15.56748 12.10499 1.29 0.199 -8.170739 39.3057 + 1800 | 13.46503 5.581068 2.41 0.016 2.520399 24.40966 + 1802 | 18.19741 6.575913 2.77 0.006 5.301863 31.09296 + 1803 | 19.35643 4.818235 4.02 0.000 9.907738 28.80512 + 1804 | 10.26705 4.501623 2.28 0.023 1.439241 19.09486 + 1806 | 12.97362 4.912889 2.64 0.008 3.339312 22.60794 + 1807 | 1.347131 4.628117 0.29 0.771 -7.728736 10.423 + 1808 | 10.06037 7.46151 1.35 0.178 -4.571859 24.6926 + 1899 | -3.288909 5.193792 -0.63 0.527 -13.47408 6.896262 + 1900 | 10.04712 4.611224 2.18 0.029 1.004385 19.08986 + 1901 | 18.17508 4.584334 3.96 0.000 9.185072 27.16509 + 1902 | 25.63561 10.85725 2.36 0.018 4.344243 46.92697 + 1905 | 24.59309 8.038378 3.06 0.002 8.829603 40.35657 + 1906 | 21.64372 5.001919 4.33 0.000 11.83482 31.45263 + 1907 | 14.40897 4.857599 2.97 0.003 4.883084 23.93486 + 1908 | 18.36137 7.108778 2.58 0.010 4.420861 32.30188 + 1909 | 12.978 5.57778 2.33 0.020 2.039816 23.91618 + 1910 | 21.45934 9.432315 2.28 0.023 2.962307 39.95637 + 1911 | 21.29722 7.365209 2.89 0.004 6.853845 35.7406 + 1912 | 14.81347 11.95671 1.24 0.216 -8.63398 38.26091 + 1914 | 14.26277 4.863193 2.93 0.003 4.725917 23.79963 + 1915 | 9.484231 4.784878 1.98 0.048 .100952 18.86751 + 1919 | 16.8456 4.97284 3.39 0.001 7.09372 26.59748 + 1920 | 45.46594 8.322502 5.46 0.000 29.14528 61.7866 + 1925 | 29.173 7.317246 3.99 0.000 14.82368 43.52232 + 1926 | 16.00096 4.285483 3.73 0.000 7.597009 24.40491 + 1927 | 7.269805 4.696351 1.55 0.122 -1.93987 16.47948 + 1929 | 16.17344 4.378335 3.69 0.000 7.5874 24.75947 + 1999 | 26.51432 16.01169 1.66 0.098 -4.885042 57.91369 + 2000 | 10.94666 3.888822 2.81 0.005 3.320573 18.57275 + 2001 | 19.28243 5.805595 3.32 0.001 7.897491 30.66736 + 2002 | 14.50352 5.069305 2.86 0.004 4.562475 24.44457 + 2003 | 48.77839 14.21945 3.43 0.001 20.89364 76.66313 + 2004 | 20.24334 6.829421 2.96 0.003 6.850656 33.63602 + 2005 | 12.72932 9.121974 1.40 0.163 -5.159124 30.61777 + 2006 | 78.92088 14.68467 5.37 0.000 50.12382 107.7179 + 2007 | 19.42496 7.248577 2.68 0.007 5.210303 33.63963 + 2008 | 11.33097 4.765811 2.38 0.018 1.985078 20.67685 + 2009 | 18.04801 8.440847 2.14 0.033 1.495275 34.60075 + 2010 | -4.420891 4.992401 -0.89 0.376 -14.21113 5.369346 + 2011 | 4.673599 5.267902 0.89 0.375 -5.656904 15.0041 + 2012 | 8.966443 5.555797 1.61 0.107 -1.928629 19.86152 + 2013 | 11.55858 5.993048 1.93 0.054 -.1939555 23.31111 + 2014 | 8.788468 4.962167 1.77 0.077 -.942481 18.51942 + 2015 | 4.536064 5.308686 0.85 0.393 -5.874417 14.94654 + 2030 | 64.45797 35.0372 1.84 0.066 -4.250945 133.1669 + 2099 | 20.82909 6.692188 3.11 0.002 7.705529 33.95266 + 2100 | 16.78013 9.502814 1.77 0.078 -1.855152 35.41542 + 2101 | 16.45767 4.912319 3.35 0.001 6.824476 26.09086 + 2102 | 9.517823 4.791514 1.99 0.047 .1215297 18.91412 + 2103 | 13.1358 4.721079 2.78 0.005 3.877629 22.39397 + 2104 | 8.074522 4.617161 1.75 0.080 -.9798591 17.1289 + 2105 | 9.909967 5.904098 1.68 0.093 -1.668134 21.48807 + 2199 | .1172898 4.832709 0.02 0.981 -9.359788 9.594367 + 9999 | 41.98529 11.94154 3.52 0.000 18.5676 65.40297 + | + house_administration | 2.72841 4.81034 0.57 0.571 -6.7048 12.16162 + house_agriculture | .78327 1.421487 0.55 0.582 -2.004307 3.570847 + house_appropriations | -1.647621 2.404686 -0.69 0.493 -6.363276 3.068035 + house_armedservices | -1.443627 2.003989 -0.72 0.471 -5.373505 2.486252 + house_budget | 7.163295 3.062341 2.34 0.019 1.157959 13.16863 + house_dc | .6432108 2.647235 0.24 0.808 -4.54809 5.834512 + house_educlabor | 7.500483 2.01736 3.72 0.000 3.544383 11.45658 + house_energycommerce | 4.555755 1.515432 3.01 0.003 1.58395 7.527559 + house_foreignaffairs | .3007473 4.82865 0.06 0.950 -9.16837 9.769864 + house_governmentop | 2.86165 2.377441 1.20 0.229 -1.800578 7.523878 + house_intelligence | 11.8841 13.29267 0.89 0.371 -14.18319 37.95139 + house_interior | .2968208 1.763784 0.17 0.866 -3.162008 3.75565 + house_judiciary | 6.587582 1.62974 4.04 0.000 3.391617 9.783547 + house_mmf | -1.112017 2.220654 -0.50 0.617 -5.466781 3.242748 + house_pocs | 9.771132 3.506501 2.79 0.005 2.894785 16.64748 + house_pwt | 10.20505 3.373309 3.03 0.003 3.5899 16.8202 + house_rules | -.1194826 3.02837 -0.04 0.969 -6.058201 5.819236 + house_sst | 8.599178 3.369936 2.55 0.011 1.990639 15.20772 + house_smallbusi | -6.260939 3.240459 -1.93 0.053 -12.61557 .0936909 + house_soc | 14.21431 17.45196 0.81 0.415 -20.00946 48.43809 + house_veterans | .4032825 3.400899 0.12 0.906 -6.265975 7.07254 + house_waysandmeans | 4.390669 1.23184 3.56 0.000 1.974997 6.806341 +house_naturalresources | -1.196721 1.740668 -0.69 0.492 -4.61022 2.216778 + house_bfs | -4.954387 1.946698 -2.55 0.011 -8.771917 -1.136858 + house_eeo | 1.651614 3.259365 0.51 0.612 -4.740091 8.043319 + house_govreform | 3.412148 1.667558 2.05 0.041 .142021 6.682275 + house_ir | 5.82316 2.439759 2.39 0.017 1.038725 10.6076 + house_natsecur | -2.847405 3.598821 -0.79 0.429 -9.904794 4.209984 + house_oversight | 7.140422 3.197349 2.23 0.026 .8703316 13.41051 + house_resources | -1.492049 1.459939 -1.02 0.307 -4.35503 1.370931 + house_science | -1.155997 1.94896 -0.59 0.553 -4.977961 2.665968 + house_transp | .8515566 1.346369 0.63 0.527 -1.788711 3.491824 + house_homeland | -.4600858 1.810094 -0.25 0.799 -4.009731 3.089559 + _cons | -6.856807 4.72384 -1.45 0.147 -16.12039 2.406775 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,232 1 0 1 1 + + +j = 5 k = 2 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6187 +----------------------+---------------------- NN matches = 3 + Number of obs | 2193 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 29.70309 50.99673 .5824509 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(7,341 missing values generated) +(54,749 missing values generated) +(47,408 real changes made) +reg numb_cosponsors sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==100 & tag_bill==1 & tenured==1, robust cluster(group_sponsor) +(sum of wgt is 38,689.9500979185) + +Linear regression Number of obs = 18,846 + F(267, 1231) = . + Prob > F = . + R-squared = 0.1624 + Root MSE = 35.688 + + (Std. Err. adjusted for 1,232 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -.6251064 1.187944 -0.53 0.599 -2.955726 1.705513 + | + v2 | + 102 | -1.037454 2.171902 -0.48 0.633 -5.298494 3.223585 + 103 | -4.299323 1.59661 -2.69 0.007 -7.4317 -1.166946 + 104 | -7.058587 2.157269 -3.27 0.001 -11.29092 -2.826256 + 105 | 1.004121 3.890606 0.26 0.796 -6.628831 8.637073 + 106 | -.7725769 3.259148 -0.24 0.813 -7.166676 5.621522 + 107 | 2.289094 3.035903 0.75 0.451 -3.667023 8.24521 + 108 | 4.073112 2.990018 1.36 0.173 -1.792984 9.939208 + 109 | -1.858562 2.123613 -0.88 0.382 -6.024863 2.307739 + 110 | 4.632738 2.598855 1.78 0.075 -.4659369 9.731413 + 111 | -3.610535 2.721601 -1.33 0.185 -8.950024 1.728954 + | + minor | + 101 | -.4527819 6.851308 -0.07 0.947 -13.89432 12.98875 + 103 | -18.0032 6.021743 -2.99 0.003 -29.81721 -6.189179 + 104 | -2.551341 5.440935 -0.47 0.639 -13.22587 8.123191 + 105 | 3.149733 6.2896 0.50 0.617 -9.189789 15.48925 + 107 | 6.597889 7.392745 0.89 0.372 -7.905885 21.10166 + 108 | 4.53059 9.291861 0.49 0.626 -13.69905 22.76023 + 110 | -1.559139 16.69423 -0.09 0.926 -34.31143 31.19315 + 200 | 21.20668 8.674887 2.44 0.015 4.187478 38.22588 + 201 | 1.985463 7.21017 0.28 0.783 -12.16012 16.13104 + 202 | 74.26285 10.8703 6.83 0.000 52.93649 95.58921 + 204 | 8.658247 11.93255 0.73 0.468 -14.75214 32.06863 + 205 | 155.4549 21.44461 7.25 0.000 113.3829 197.5269 + 206 | 1.472039 7.472018 0.20 0.844 -13.18726 16.13134 + 207 | 37.16557 9.405424 3.95 0.000 18.71314 55.61801 + 208 | -1.64975 5.71152 -0.29 0.773 -12.85514 9.555641 + 209 | 7.690005 12.71543 0.60 0.545 -17.25631 32.63632 + 299 | -1.534133 14.36496 -0.11 0.915 -29.71665 26.64838 + 300 | 4.706038 6.631382 0.71 0.478 -8.304023 17.7161 + 301 | 8.232419 7.806644 1.05 0.292 -7.083381 23.54822 + 302 | 7.247931 6.206261 1.17 0.243 -4.928089 19.42395 + 321 | 15.0727 13.60714 1.11 0.268 -11.62305 41.76844 + 322 | -8.395331 5.328327 -1.58 0.115 -18.84894 2.058275 + 323 | .4694242 7.568426 0.06 0.951 -14.37902 15.31787 + 324 | -7.76921 5.810989 -1.34 0.181 -19.16975 3.63133 + 325 | 7.337468 8.941807 0.82 0.412 -10.2054 24.88034 + 331 | 23.5998 7.179768 3.29 0.001 9.51386 37.68573 + 332 | 7.222995 6.203456 1.16 0.245 -4.947521 19.39351 + 333 | 12.55487 6.817585 1.84 0.066 -.8204983 25.93025 + 334 | 10.86711 6.61851 1.64 0.101 -2.117699 23.85192 + 335 | -3.835064 6.121158 -0.63 0.531 -15.84412 8.173994 + 336 | 19.07183 12.12378 1.57 0.116 -4.713723 42.85739 + 341 | 6.449339 6.292623 1.02 0.306 -5.896113 18.79479 + 342 | 3.611532 10.64611 0.34 0.734 -17.275 24.49806 + 343 | 7.515492 7.08715 1.06 0.289 -6.388737 21.41972 + 344 | -5.272312 7.719263 -0.68 0.495 -20.41668 9.872055 + 398 | 15.74248 7.463281 2.11 0.035 1.100317 30.38463 + 399 | 11.9842 12.09719 0.99 0.322 -11.74919 35.71759 + 400 | 6.875249 10.1805 0.68 0.500 -13.09781 26.84831 + 401 | -5.010584 5.827037 -0.86 0.390 -16.44261 6.421438 + 402 | 3.707904 5.452004 0.68 0.497 -6.988344 14.40415 + 403 | 1.292959 5.239498 0.25 0.805 -8.986374 11.57229 + 404 | -.7568522 5.691714 -0.13 0.894 -11.92339 10.40968 + 405 | 23.90485 12.40268 1.93 0.054 -.4278865 48.23759 + 498 | 31.08399 22.63491 1.37 0.170 -13.32329 75.49127 + 499 | -3.434313 5.430766 -0.63 0.527 -14.08889 7.220268 + 500 | -14.28355 6.112129 -2.34 0.020 -26.27489 -2.292211 + 501 | .7608656 6.767795 0.11 0.911 -12.51682 14.03855 + 502 | -2.687514 8.197754 -0.33 0.743 -18.77063 13.3956 + 503 | -2.080573 6.25627 -0.33 0.740 -14.35471 10.19356 + 504 | 15.13212 8.502675 1.78 0.075 -1.549216 31.81346 + 505 | 4.705892 7.080815 0.66 0.506 -9.185909 18.59769 + 506 | 12.08235 7.677677 1.57 0.116 -2.980428 27.14513 + 508 | -1.903478 7.415263 -0.26 0.797 -16.45143 12.64447 + 529 | -8.388496 7.139261 -1.17 0.240 -22.39496 5.61797 + 530 | -1.364743 5.415928 -0.25 0.801 -11.99021 9.260727 + 599 | -8.875101 8.145353 -1.09 0.276 -24.85541 7.10521 + 600 | -4.749472 7.205103 -0.66 0.510 -18.88511 9.386168 + 601 | .3729252 5.567917 0.07 0.947 -10.55073 11.29658 + 602 | -2.937414 6.588298 -0.45 0.656 -15.86295 9.988121 + 603 | -4.471631 6.223179 -0.72 0.473 -16.68084 7.737579 + 604 | -2.858018 10.11317 -0.28 0.778 -22.69897 16.98293 + 606 | -6.630121 9.801821 -0.68 0.499 -25.86024 12.6 + 607 | -1.751296 6.350322 -0.28 0.783 -14.20995 10.70736 + 609 | 8.620651 7.970983 1.08 0.280 -7.017565 24.25887 + 698 | -11.41644 6.210021 -1.84 0.066 -23.59983 .7669597 + 699 | -2.455489 8.270027 -0.30 0.767 -18.6804 13.76942 + 700 | 5.372591 5.495499 0.98 0.328 -5.40899 16.15417 + 701 | 4.218498 6.048367 0.70 0.486 -7.647751 16.08475 + 703 | .250051 5.261062 0.05 0.962 -10.07159 10.57169 + 704 | 2.14336 5.681868 0.38 0.706 -9.003855 13.29058 + 705 | .1115242 6.641579 0.02 0.987 -12.91854 13.14159 + 707 | 9.833805 6.88601 1.43 0.154 -3.675811 23.34342 + 708 | -1.971319 8.000379 -0.25 0.805 -17.6672 13.72457 + 709 | 13.68357 6.969501 1.96 0.050 .0101528 27.35698 + 710 | 3.836982 5.567841 0.69 0.491 -7.086527 14.76049 + 711 | 17.24417 6.59591 2.61 0.009 4.303696 30.18464 + 798 | 5.9726 6.549185 0.91 0.362 -6.8762 18.8214 + 799 | -15.52594 5.557441 -2.79 0.005 -26.42904 -4.622833 + 800 | 3.791051 9.014911 0.42 0.674 -13.89524 21.47734 + 801 | -9.268546 5.227483 -1.77 0.076 -19.52431 .9872172 + 802 | -5.73434 5.45834 -1.05 0.294 -16.44302 4.974339 + 803 | -3.193476 5.348531 -0.60 0.551 -13.68672 7.29977 + 805 | .3251402 5.851811 0.06 0.956 -11.15549 11.80577 + 806 | -3.487073 5.43441 -0.64 0.521 -14.1488 7.174657 + 807 | 1.385963 6.521037 0.21 0.832 -11.40761 14.17954 + 898 | -9.412529 7.352407 -1.28 0.201 -23.83716 5.012106 + 899 | -3.222979 9.563735 -0.34 0.736 -21.986 15.54005 + 1000 | -4.912623 5.141937 -0.96 0.340 -15.00055 5.175307 + 1001 | -1.435355 5.568374 -0.26 0.797 -12.35991 9.489199 + 1002 | -5.372664 5.398184 -1.00 0.320 -15.96332 5.217995 + 1003 | -.0036077 5.32057 -0.00 0.999 -10.442 10.43478 + 1005 | -2.729689 6.119472 -0.45 0.656 -14.73544 9.27606 + 1006 | -1.720624 5.743301 -0.30 0.765 -12.98837 9.547119 + 1007 | 2.495598 5.937858 0.42 0.674 -9.153845 14.14504 + 1010 | 8.224356 9.400227 0.87 0.382 -10.21788 26.66659 + 1098 | -10.28523 6.406061 -1.61 0.109 -22.85324 2.28277 + 1099 | 11.80067 10.64257 1.11 0.268 -9.078909 32.68024 + 1200 | 7.898772 9.229536 0.86 0.392 -10.20859 26.00613 + 1201 | -2.602824 7.321559 -0.36 0.722 -16.96694 11.76129 + 1202 | -2.066581 5.456383 -0.38 0.705 -12.77142 8.638258 + 1203 | -3.918962 5.383394 -0.73 0.467 -14.4806 6.64268 + 1204 | -7.319685 5.530513 -1.32 0.186 -18.16996 3.53059 + 1205 | -2.858032 6.254481 -0.46 0.648 -15.12865 9.41259 + 1206 | -3.740663 6.977321 -0.54 0.592 -17.42942 9.948095 + 1207 | -.1602467 7.221619 -0.02 0.982 -14.32829 14.0078 + 1208 | 23.41978 8.465831 2.77 0.006 6.810723 40.02883 + 1209 | 1.987057 5.990528 0.33 0.740 -9.765718 13.73983 + 1210 | -3.322797 5.762972 -0.58 0.564 -14.62913 7.983538 + 1211 | 11.23688 10.34166 1.09 0.277 -9.052342 31.52611 + 1299 | 7.240057 10.56908 0.69 0.493 -13.49535 27.97546 + 1300 | 15.03669 7.936418 1.89 0.058 -.5337127 30.60709 + 1301 | 8.51384 6.379363 1.33 0.182 -4.001787 21.02947 + 1302 | -6.983569 5.960752 -1.17 0.242 -18.67793 4.710789 + 1303 | 2.735133 6.587241 0.42 0.678 -10.18833 15.65859 + 1304 | 3.364764 9.960944 0.34 0.736 -16.17754 22.90707 + 1305 | .9824703 8.653239 0.11 0.910 -15.99426 17.9592 + 1399 | 36.19968 49.65085 0.73 0.466 -61.20998 133.6093 + 1400 | 2.370609 6.128638 0.39 0.699 -9.653124 14.39434 + 1401 | 1.951322 4.868621 0.40 0.689 -7.600392 11.50304 + 1403 | 11.17623 8.25753 1.35 0.176 -5.024159 27.37662 + 1404 | 10.66031 11.95313 0.89 0.373 -12.79045 34.11107 + 1405 | -.3393661 5.927158 -0.06 0.954 -11.96782 11.28908 + 1406 | 4.592476 6.519754 0.70 0.481 -8.198583 17.38354 + 1407 | 2.311543 6.705055 0.34 0.730 -10.84306 15.46614 + 1408 | -6.769361 6.13165 -1.10 0.270 -18.799 5.260281 + 1409 | 24.03906 9.610634 2.50 0.013 5.184025 42.8941 + 1410 | 2.828092 5.909257 0.48 0.632 -8.765237 14.42142 + 1499 | -8.22762 4.824446 -1.71 0.088 -17.69267 1.237427 + 1500 | .3831098 8.105146 0.05 0.962 -15.51832 16.28454 + 1501 | 5.594041 5.354916 1.04 0.296 -4.91173 16.09981 + 1502 | 16.3626 10.52635 1.55 0.120 -4.288969 37.01416 + 1504 | 24.51727 19.8151 1.24 0.216 -14.35783 63.39238 + 1505 | -6.019764 6.179848 -0.97 0.330 -18.14396 6.104435 + 1507 | -9.244573 6.494072 -1.42 0.155 -21.98525 3.4961 + 1520 | -1.350773 5.494723 -0.25 0.806 -12.13083 9.429286 + 1521 | 3.129508 5.754616 0.54 0.587 -8.160434 14.41945 + 1522 | -4.331888 5.857619 -0.74 0.460 -15.82391 7.160133 + 1523 | -2.986273 5.057125 -0.59 0.555 -12.90781 6.935264 + 1524 | 12.42275 10.06088 1.23 0.217 -7.315628 32.16113 + 1525 | 5.599296 6.409413 0.87 0.383 -6.975286 18.17388 + 1526 | -4.706494 5.832225 -0.81 0.420 -16.14869 6.735707 + 1599 | 4.562837 8.053789 0.57 0.571 -11.23784 20.36351 + 1600 | -2.262049 4.955428 -0.46 0.648 -11.98407 7.45997 + 1602 | 4.083747 10.87616 0.38 0.707 -17.25412 25.42162 + 1603 | -30.65833 20.60742 -1.49 0.137 -71.08787 9.77122 + 1604 | -5.139979 5.347106 -0.96 0.337 -15.63043 5.350471 + 1605 | 2.877368 7.08516 0.41 0.685 -11.02296 16.77769 + 1606 | -6.441214 6.556476 -0.98 0.326 -19.30432 6.421891 + 1608 | 2.854545 6.495907 0.44 0.660 -9.889729 15.59882 + 1609 | 6.798296 6.294763 1.08 0.280 -5.551356 19.14795 + 1610 | 5.845383 6.764801 0.86 0.388 -7.426433 19.1172 + 1611 | -2.631723 5.527926 -0.48 0.634 -13.47692 8.213476 + 1612 | 8.025301 6.655808 1.21 0.228 -5.032682 21.08328 + 1614 | 4.078408 9.027907 0.45 0.652 -13.63338 21.7902 + 1615 | -4.63714 5.445151 -0.85 0.395 -15.31994 6.045664 + 1616 | 3.405037 7.157703 0.48 0.634 -10.63761 17.44768 + 1617 | -9.153428 6.518092 -1.40 0.160 -21.94123 3.63437 + 1619 | 9.670531 10.73019 0.90 0.368 -11.38094 30.72201 + 1620 | -10.84473 6.256811 -1.73 0.083 -23.11993 1.430461 + 1698 | -5.833717 6.026993 -0.97 0.333 -17.65803 5.990598 + 1699 | 62.55839 24.46344 2.56 0.011 14.56373 110.553 + 1700 | -1.753988 7.265554 -0.24 0.809 -16.00823 12.50025 + 1701 | -7.237916 5.850967 -1.24 0.216 -18.71689 4.241056 + 1704 | .3653736 10.10971 0.04 0.971 -19.4688 20.19954 + 1705 | 9.4624 7.968007 1.19 0.235 -6.169977 25.09478 + 1706 | 5.457026 8.553017 0.64 0.524 -11.32308 22.23713 + 1707 | -1.406784 6.062066 -0.23 0.817 -13.29991 10.48634 + 1708 | 1.430283 7.382563 0.19 0.846 -13.05352 15.91408 + 1709 | -3.998627 7.995574 -0.50 0.617 -19.68509 11.68783 + 1798 | 6.121098 7.470493 0.82 0.413 -8.535209 20.7774 + 1799 | 12.01178 20.6341 0.58 0.561 -28.47012 52.49368 + 1800 | -3.00562 6.346048 -0.47 0.636 -15.45589 9.444647 + 1802 | 7.102143 9.31378 0.76 0.446 -11.1705 25.37478 + 1803 | 4.148384 6.21542 0.67 0.505 -8.045604 16.34237 + 1804 | -5.644622 5.6296 -1.00 0.316 -16.68929 5.40005 + 1806 | -1.920333 5.789833 -0.33 0.740 -13.27937 9.438699 + 1807 | -9.601055 6.411235 -1.50 0.135 -22.17921 2.977102 + 1808 | 1.455794 9.377828 0.16 0.877 -16.9425 19.85409 + 1899 | -18.84135 7.082799 -2.66 0.008 -32.73705 -4.94566 + 1900 | -2.621022 6.189951 -0.42 0.672 -14.76504 9.522998 + 1901 | 8.962509 6.615277 1.35 0.176 -4.015957 21.94098 + 1902 | -.1157959 6.855935 -0.02 0.987 -13.56641 13.33481 + 1905 | 24.31671 9.992342 2.43 0.015 4.712806 43.92062 + 1906 | 6.209872 6.066685 1.02 0.306 -5.692314 18.11206 + 1907 | -1.649624 6.251421 -0.26 0.792 -13.91424 10.61499 + 1908 | 1.340507 9.405551 0.14 0.887 -17.11218 19.79319 + 1909 | -1.805665 7.991073 -0.23 0.821 -17.48329 13.87196 + 1910 | 11.3131 12.97762 0.87 0.384 -14.14761 36.77381 + 1911 | 8.364877 9.423229 0.89 0.375 -10.12249 26.85224 + 1912 | -5.539345 15.41913 -0.36 0.719 -35.79002 24.71133 + 1914 | -3.91072 6.773913 -0.58 0.564 -17.20041 9.378972 + 1915 | -4.310213 5.457763 -0.79 0.430 -15.01776 6.397334 + 1919 | 1.922852 9.054251 0.21 0.832 -15.84062 19.68632 + 1920 | 22.01015 11.09526 1.98 0.048 .2424305 43.77786 + 1925 | 28.48075 8.218622 3.47 0.001 12.35669 44.6048 + 1926 | 15.41666 9.411902 1.64 0.102 -3.048488 33.8818 + 1927 | -5.840774 5.693642 -1.03 0.305 -17.01109 5.329543 + 1929 | 3.046122 7.70297 0.40 0.693 -12.06628 18.15852 + 1999 | 31.42166 24.13725 1.30 0.193 -15.93305 78.77637 + 2000 | .5578859 5.425024 0.10 0.918 -10.08543 11.2012 + 2001 | 3.136477 6.445264 0.49 0.627 -9.50844 15.78139 + 2002 | -.6482449 5.926469 -0.11 0.913 -12.27534 10.97885 + 2003 | 18.68657 9.433846 1.98 0.048 .1783716 37.19476 + 2004 | 12.88265 7.466992 1.73 0.085 -1.766786 27.53209 + 2005 | -9.31565 6.206085 -1.50 0.134 -21.49132 2.860024 + 2006 | 53.79744 15.72466 3.42 0.001 22.94733 84.64755 + 2007 | 4.414461 7.077927 0.62 0.533 -9.471675 18.3006 + 2008 | -2.895652 5.119952 -0.57 0.572 -12.94045 7.149146 + 2009 | 14.09952 13.84499 1.02 0.309 -13.06287 41.2619 + 2010 | -18.1532 5.611643 -3.23 0.001 -29.16264 -7.143755 + 2011 | -9.219773 6.207501 -1.49 0.138 -21.39823 2.958678 + 2012 | -3.223212 6.433801 -0.50 0.616 -15.84564 9.399215 + 2013 | -4.208974 5.615519 -0.75 0.454 -15.22602 6.808073 + 2014 | -3.71789 5.615973 -0.66 0.508 -14.73583 7.300047 + 2015 | -7.310664 6.354532 -1.15 0.250 -19.77758 5.156248 + 2030 | 37.24776 15.45987 2.41 0.016 6.917137 67.57837 + 2099 | 10.68755 9.160094 1.17 0.244 -7.283578 28.65867 + 2100 | 11.45003 17.26076 0.66 0.507 -22.41372 45.31379 + 2101 | 2.816479 5.99277 0.47 0.638 -8.940694 14.57365 + 2102 | -3.351768 5.788357 -0.58 0.563 -14.7079 8.004368 + 2103 | 2.9242 5.71032 0.51 0.609 -8.278837 14.12724 + 2104 | -5.520286 5.089864 -1.08 0.278 -15.50605 4.465482 + 2105 | -9.102577 7.120316 -1.28 0.201 -23.07187 4.866721 + 2199 | -10.90534 5.655004 -1.93 0.054 -21.99986 .1891691 + 9999 | 25.0598 13.83186 1.81 0.070 -2.076826 52.19643 + | + house_administration | 5.248483 5.404373 0.97 0.332 -5.354318 15.85128 + house_agriculture | -2.705022 1.913404 -1.41 0.158 -6.458916 1.048871 + house_appropriations | -5.929521 4.129782 -1.44 0.151 -14.03171 2.172668 + house_armedservices | -3.528628 2.78117 -1.27 0.205 -8.984987 1.92773 + house_budget | .8426095 3.291428 0.26 0.798 -5.61482 7.300039 + house_dc | -2.815857 3.088518 -0.91 0.362 -8.875199 3.243485 + house_educlabor | 11.17151 2.934261 3.81 0.000 5.414805 16.92822 + house_energycommerce | 5.240078 1.654105 3.17 0.002 1.994901 8.485255 + house_foreignaffairs | 7.873075 3.481429 2.26 0.024 1.042883 14.70327 + house_governmentop | -3.166446 3.237157 -0.98 0.328 -9.517402 3.18451 + house_intelligence | 27.27449 21.59874 1.26 0.207 -15.09993 69.64891 + house_interior | -2.450699 2.302135 -1.06 0.287 -6.967242 2.065844 + house_judiciary | 4.604275 1.780075 2.59 0.010 1.111957 8.096592 + house_mmf | -1.560988 2.756256 -0.57 0.571 -6.968467 3.846492 + house_pocs | 2.413857 3.671753 0.66 0.511 -4.789729 9.617443 + house_pwt | 3.982638 1.911468 2.08 0.037 .2325428 7.732733 + house_rules | .6244476 5.053326 0.12 0.902 -9.289638 10.53853 + house_sst | 10.82105 4.229516 2.56 0.011 2.523197 19.11891 + house_smallbusi | -9.216041 4.061192 -2.27 0.023 -17.18366 -1.248417 + house_soc | 20.3781 21.15999 0.96 0.336 -21.13553 61.89174 + house_veterans | 3.209627 4.155895 0.77 0.440 -4.943793 11.36305 + house_waysandmeans | 4.057727 1.883202 2.15 0.031 .3630866 7.752367 +house_naturalresources | -1.346055 2.55532 -0.53 0.598 -6.359319 3.667209 + house_bfs | -4.453947 4.318459 -1.03 0.303 -12.9263 4.018406 + house_eeo | 4.311688 3.394158 1.27 0.204 -2.347287 10.97066 + house_govreform | 6.316773 2.134814 2.96 0.003 2.128496 10.50505 + house_ir | 5.169125 2.78662 1.85 0.064 -.297926 10.63618 + house_natsecur | -2.876076 3.286364 -0.88 0.382 -9.32357 3.571418 + house_oversight | 1.899783 3.706182 0.51 0.608 -5.371351 9.170916 + house_resources | 4.08711 2.815442 1.45 0.147 -1.436486 9.610706 + house_science | -3.160713 2.933237 -1.08 0.281 -8.915409 2.593983 + house_transp | -.5634897 1.335154 -0.42 0.673 -3.182919 2.05594 + house_homeland | .3490424 2.358483 0.15 0.882 -4.278049 4.976134 + _cons | 10.54129 5.071465 2.08 0.038 .5916205 20.49096 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,232 1 0 1 1 + + +j = 5 k = 3 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 13.03771 22.75762 .5728944 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(13,828 missing values generated) +(55,922 missing values generated) +(42,094 real changes made) +reg numb_cosponsors sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==200 & tag_bill==1 & tenured==1, robust cluster(group_sponsor) +(sum of wgt is 18,738.8904932737) + +Linear regression Number of obs = 13,537 + F(265, 938) = . + Prob > F = . + R-squared = 0.1546 + Root MSE = 38.157 + + (Std. Err. adjusted for 939 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 5.951073 1.668439 3.57 0.000 2.676769 9.225378 + | + v2 | + 102 | -.742587 1.958708 -0.38 0.705 -4.586543 3.101369 + 103 | .4067601 2.640823 0.15 0.878 -4.775844 5.589364 + 104 | 4.189806 2.031735 2.06 0.039 .2025326 8.177079 + 105 | 4.917308 2.160202 2.28 0.023 .6779197 9.156696 + 106 | 8.502545 2.673286 3.18 0.002 3.256232 13.74886 + 107 | 7.771405 2.334161 3.33 0.001 3.190622 12.35219 + 108 | 7.332613 2.775392 2.64 0.008 1.885916 12.77931 + 109 | 2.954947 2.043524 1.45 0.149 -1.055461 6.965355 + 110 | 2.444253 2.817999 0.87 0.386 -3.08606 7.974567 + 111 | -2.045623 2.715264 -0.75 0.451 -7.374318 3.283072 + | + minor | + 101 | 4.686737 6.28299 0.75 0.456 -7.643607 17.01708 + 103 | 58.21925 7.678374 7.58 0.000 43.15047 73.28803 + 104 | 13.80461 7.723885 1.79 0.074 -1.353483 28.96271 + 105 | 3.821615 6.654805 0.57 0.566 -9.238415 16.88165 + 107 | 22.42781 7.402115 3.03 0.003 7.901188 36.95444 + 108 | 10.32874 6.709616 1.54 0.124 -2.838855 23.49634 + 110 | 12.55954 6.082451 2.06 0.039 .6227497 24.49633 + 200 | 21.22428 9.224574 2.30 0.022 3.121087 39.32747 + 201 | 15.90616 9.939589 1.60 0.110 -3.600241 35.41257 + 202 | 31.15478 24.66327 1.26 0.207 -17.24679 79.55635 + 204 | 13.644 7.78334 1.75 0.080 -1.630772 28.91878 + 205 | 7.029409 6.496781 1.08 0.280 -5.7205 19.77932 + 206 | 33.6573 17.977 1.87 0.061 -1.622488 68.93709 + 207 | 27.34459 8.174176 3.35 0.001 11.3028 43.38638 + 208 | 13.38887 8.105082 1.65 0.099 -2.517321 29.29506 + 299 | 111.0419 13.82352 8.03 0.000 83.91331 138.1705 + 300 | 20.24893 11.67331 1.73 0.083 -2.6599 43.15776 + 301 | 16.71366 7.885002 2.12 0.034 1.239378 32.18795 + 302 | 17.34617 6.987561 2.48 0.013 3.633111 31.05923 + 321 | 8.673884 7.101731 1.22 0.222 -5.263237 22.611 + 322 | 12.0436 6.825491 1.76 0.078 -1.351401 25.4386 + 323 | 9.593997 7.395971 1.30 0.195 -4.920569 24.10856 + 324 | 5.814115 6.884663 0.84 0.399 -7.697011 19.32524 + 325 | 12.62108 9.100672 1.39 0.166 -5.238958 30.48111 + 331 | 34.09234 10.90817 3.13 0.002 12.68511 55.49958 + 332 | 7.18194 7.828959 0.92 0.359 -8.182363 22.54624 + 333 | 25.47887 25.20205 1.01 0.312 -23.98006 74.9378 + 334 | 18.5005 7.710127 2.40 0.017 3.369406 33.6316 + 335 | 56.89098 32.25106 1.76 0.078 -6.401599 120.1836 + 336 | 74.18473 27.47051 2.70 0.007 20.27396 128.0955 + 341 | 16.66528 10.17663 1.64 0.102 -3.306317 36.63688 + 342 | -6.765622 7.025084 -0.96 0.336 -20.55232 7.021078 + 343 | 8.402531 7.822391 1.07 0.283 -6.948882 23.75394 + 344 | 36.68235 12.58656 2.91 0.004 11.98126 61.38343 + 398 | 46.58354 19.70088 2.36 0.018 7.920639 85.24645 + 399 | 5.755477 6.896778 0.83 0.404 -7.779424 19.29038 + 400 | 4.08644 6.027803 0.68 0.498 -7.7431 15.91598 + 401 | 5.583197 6.461495 0.86 0.388 -7.097462 18.26386 + 402 | 8.766588 6.062929 1.45 0.149 -3.131887 20.66506 + 403 | 13.9239 10.48555 1.33 0.185 -6.653945 34.50175 + 404 | 16.63607 6.968989 2.39 0.017 2.95946 30.31269 + 405 | 14.98998 14.27031 1.05 0.294 -13.01544 42.9954 + 498 | -.5563347 5.945793 -0.09 0.925 -12.22493 11.11226 + 499 | 6.809154 7.054065 0.97 0.335 -7.034422 20.65273 + 500 | 12.49007 7.494967 1.67 0.096 -2.21878 27.19891 + 501 | 14.18488 7.318787 1.94 0.053 -.1782158 28.54797 + 502 | 12.41641 6.704219 1.85 0.064 -.7405989 25.57341 + 503 | 15.21128 6.500681 2.34 0.019 2.453718 27.96884 + 504 | 29.45453 8.655574 3.40 0.001 12.468 46.44106 + 505 | 15.58089 6.786434 2.30 0.022 2.262541 28.89924 + 506 | 9.404815 6.735164 1.40 0.163 -3.812918 22.62255 + 508 | .6322841 5.983143 0.11 0.916 -11.10961 12.37418 + 529 | 27.14161 11.47039 2.37 0.018 4.631018 49.6522 + 530 | 10.24656 5.921732 1.73 0.084 -1.374816 21.86794 + 599 | 22.00103 10.94822 2.01 0.045 .5151952 43.48686 + 600 | 16.25492 8.346697 1.95 0.052 -.1254466 32.63528 + 601 | 14.20565 6.252887 2.27 0.023 1.934387 26.47692 + 602 | 26.73978 8.66799 3.08 0.002 9.72888 43.75068 + 603 | 20.5229 13.25568 1.55 0.122 -5.491314 46.53712 + 604 | 11.12398 7.163508 1.55 0.121 -2.934373 25.18234 + 606 | 34.44877 10.24291 3.36 0.001 14.3471 54.55044 + 607 | 22.2337 7.668114 2.90 0.004 7.185051 37.28234 + 609 | 16.11417 7.773462 2.07 0.038 .8587789 31.36956 + 698 | 7.235677 11.59506 0.62 0.533 -15.51959 29.99094 + 699 | 5.013844 6.947054 0.72 0.471 -8.619723 18.64741 + 700 | 8.335315 5.950534 1.40 0.162 -3.342585 20.01322 + 701 | 18.12026 13.0332 1.39 0.165 -7.457347 43.69788 + 703 | 3.255499 6.175901 0.53 0.598 -8.864683 15.37568 + 704 | 6.876152 6.872899 1.00 0.317 -6.611886 20.36419 + 705 | .1284512 6.281106 0.02 0.984 -12.1982 12.4551 + 707 | -6.715106 5.663151 -1.19 0.236 -17.82902 4.398806 + 708 | 25.79093 17.73036 1.45 0.146 -9.004826 60.58669 + 709 | 16.15026 7.006733 2.30 0.021 2.399572 29.90095 + 710 | 8.50823 6.038721 1.41 0.159 -3.342738 20.3592 + 711 | 11.11448 6.232922 1.78 0.075 -1.117606 23.34657 + 798 | 22.82376 11.85805 1.92 0.055 -.4476276 46.09515 + 799 | 4.465567 6.613944 0.68 0.500 -8.514272 17.44541 + 800 | -1.553189 6.168578 -0.25 0.801 -13.659 10.55262 + 801 | 4.383053 8.534486 0.51 0.608 -12.36584 21.13195 + 802 | 3.825823 6.883071 0.56 0.578 -9.68218 17.33382 + 803 | 9.263063 6.174851 1.50 0.134 -2.855058 21.38118 + 805 | -.2017484 6.261137 -0.03 0.974 -12.48921 12.08571 + 806 | 6.269115 6.568261 0.95 0.340 -6.621073 19.1593 + 807 | 10.34713 6.886254 1.50 0.133 -3.167122 23.86137 + 898 | 9.495763 5.921869 1.60 0.109 -2.125882 21.11741 + 899 | -7.000201 7.375322 -0.95 0.343 -21.47424 7.473841 + 1000 | 2.501208 8.496156 0.29 0.769 -14.17247 19.17488 + 1001 | 9.862659 6.199366 1.59 0.112 -2.303573 22.02889 + 1002 | 13.05834 8.047444 1.62 0.105 -2.734734 28.85142 + 1003 | 13.04742 9.239287 1.41 0.158 -5.084644 31.17949 + 1005 | 3.262403 7.491733 0.44 0.663 -11.4401 17.9649 + 1006 | 15.09982 9.031258 1.67 0.095 -2.623994 32.82363 + 1007 | 3.725938 5.932721 0.63 0.530 -7.917004 15.36888 + 1010 | 8.490138 8.258034 1.03 0.304 -7.716224 24.6965 + 1098 | -1.244542 6.764887 -0.18 0.854 -14.52061 12.03152 + 1099 | -2.505045 7.088186 -0.35 0.724 -16.41558 11.40549 + 1200 | 10.45571 8.756648 1.19 0.233 -6.729176 27.6406 + 1201 | 6.688782 7.02343 0.95 0.341 -7.094674 20.47224 + 1202 | -1.233158 7.728593 -0.16 0.873 -16.40049 13.93418 + 1203 | 9.39887 6.901766 1.36 0.174 -4.14582 22.94356 + 1204 | 6.39958 6.131442 1.04 0.297 -5.633353 18.43251 + 1205 | 12.11427 7.094007 1.71 0.088 -1.807696 26.03623 + 1206 | .0897528 5.989954 0.01 0.988 -11.66551 11.84501 + 1207 | 13.99207 9.470065 1.48 0.140 -4.592897 32.57704 + 1208 | 14.94996 6.954068 2.15 0.032 1.302627 28.59729 + 1209 | 34.27328 7.663621 4.47 0.000 19.23345 49.3131 + 1210 | 15.32886 7.164002 2.14 0.033 1.269531 29.38818 + 1211 | 17.97892 12.61622 1.43 0.154 -6.780373 42.73821 + 1299 | 16.89054 10.19167 1.66 0.098 -3.110586 36.89166 + 1300 | 24.09931 10.6817 2.26 0.024 3.136508 45.06212 + 1301 | 9.614054 7.904432 1.22 0.224 -5.898364 25.12647 + 1302 | -1.874723 7.028702 -0.27 0.790 -15.66852 11.91908 + 1303 | 12.15239 6.421654 1.89 0.059 -.4500797 24.75486 + 1304 | 16.76727 9.776021 1.72 0.087 -2.418137 35.95267 + 1305 | 49.47355 18.15425 2.73 0.007 13.8459 85.1012 + 1399 | .5237465 9.044079 0.06 0.954 -17.22523 18.27272 + 1400 | 14.49415 7.390426 1.96 0.050 -.0095383 28.99783 + 1401 | 20.3842 11.00041 1.85 0.064 -1.204057 41.97246 + 1403 | 5.222021 5.969827 0.87 0.382 -6.493742 16.93778 + 1404 | 6.563103 5.72275 1.15 0.252 -4.667773 17.79398 + 1405 | 6.14177 5.797404 1.06 0.290 -5.235613 17.51915 + 1406 | 11.66638 8.556119 1.36 0.173 -5.124974 28.45773 + 1407 | 17.67954 6.858781 2.58 0.010 4.219202 31.13987 + 1408 | 1.127123 6.550284 0.17 0.863 -11.72779 13.98203 + 1409 | 46.02231 26.72927 1.72 0.085 -6.433789 98.47841 + 1410 | 14.29524 6.567537 2.18 0.030 1.406473 27.18401 + 1499 | 16.08677 9.522235 1.69 0.091 -2.600578 34.77412 + 1500 | 9.148211 10.02381 0.91 0.362 -10.52348 28.8199 + 1501 | 12.20282 6.278326 1.94 0.052 -.1183726 24.52401 + 1502 | 11.02217 7.395789 1.49 0.136 -3.492043 25.53638 + 1504 | 23.97991 9.798958 2.45 0.015 4.749494 43.21033 + 1505 | 9.475549 6.157831 1.54 0.124 -2.609171 21.56027 + 1507 | 17.89813 9.491586 1.89 0.060 -.7290765 36.52533 + 1520 | 12.89476 8.617196 1.50 0.135 -4.016455 29.80597 + 1521 | 7.647512 5.795074 1.32 0.187 -3.725299 19.02032 + 1522 | 5.686583 6.576102 0.86 0.387 -7.218992 18.59216 + 1523 | 8.424908 6.287806 1.34 0.181 -3.914888 20.7647 + 1524 | 45.46432 28.48262 1.60 0.111 -10.43272 101.3614 + 1525 | 10.18983 8.095378 1.26 0.208 -5.697323 26.07698 + 1526 | 16.07933 8.756357 1.84 0.067 -1.104993 33.26364 + 1599 | 6.177428 7.914768 0.78 0.435 -9.355275 21.71013 + 1600 | 1.352624 5.836467 0.23 0.817 -10.10142 12.80667 + 1602 | 34.14064 18.15547 1.88 0.060 -1.489405 69.77069 + 1603 | 15.44693 7.478293 2.07 0.039 .770807 30.12305 + 1604 | 20.40407 10.98644 1.86 0.064 -1.156782 41.96492 + 1605 | 20.4106 9.299842 2.19 0.028 2.159693 38.6615 + 1606 | 6.00562 9.217733 0.65 0.515 -12.08415 24.09539 + 1608 | 23.99927 6.875631 3.49 0.001 10.50587 37.49267 + 1609 | 33.14301 7.13875 4.64 0.000 19.13324 47.15278 + 1610 | 35.61194 20.37804 1.75 0.081 -4.379874 75.60376 + 1611 | 14.58958 10.688 1.37 0.173 -6.385588 35.56475 + 1612 | 11.08073 6.997763 1.58 0.114 -2.652355 24.81381 + 1614 | -12.47372 7.082783 -1.76 0.079 -26.37365 1.426217 + 1615 | 7.231551 6.782644 1.07 0.287 -6.079363 20.54247 + 1616 | -3.705498 5.807039 -0.64 0.524 -15.10179 7.690795 + 1617 | 15.79049 9.95271 1.59 0.113 -3.741663 35.32265 + 1619 | 15.76665 8.843064 1.78 0.075 -1.587834 33.12113 + 1620 | -1.246319 5.929435 -0.21 0.834 -12.88281 10.39018 + 1698 | -4.216096 7.195671 -0.59 0.558 -18.33757 9.90538 + 1699 | 31.51355 11.98551 2.63 0.009 7.992035 55.03506 + 1700 | 5.807237 8.676484 0.67 0.503 -11.22033 22.8348 + 1701 | 9.617019 6.361743 1.51 0.131 -2.867877 22.10192 + 1704 | 6.290331 5.559453 1.13 0.258 -4.620074 17.20074 + 1705 | 1.719197 6.499832 0.26 0.791 -11.0367 14.47509 + 1706 | 10.17206 7.713981 1.32 0.188 -4.966594 25.31072 + 1707 | 12.65501 9.190332 1.38 0.169 -5.380982 30.691 + 1708 | 6.164224 6.040371 1.02 0.308 -5.689982 18.01843 + 1709 | 15.12289 8.684968 1.74 0.082 -1.921331 32.1671 + 1798 | 34.18292 11.47803 2.98 0.003 11.65733 56.70851 + 1799 | -.1380211 6.217933 -0.02 0.982 -12.34069 12.06465 + 1800 | 4.314659 6.221807 0.69 0.488 -7.895614 16.52493 + 1802 | 4.197043 5.893503 0.71 0.477 -7.368935 15.76302 + 1803 | 7.555974 6.255999 1.21 0.227 -4.7214 19.83335 + 1804 | 5.222654 6.432527 0.81 0.417 -7.401156 17.84646 + 1806 | 4.559261 5.881678 0.78 0.438 -6.983511 16.10203 + 1807 | -3.695243 5.588044 -0.66 0.509 -14.66176 7.271273 + 1808 | -.517491 7.504039 -0.07 0.945 -15.24414 14.20916 + 1899 | -7.214434 5.879054 -1.23 0.220 -18.75206 4.323188 + 1900 | -3.024065 5.948445 -0.51 0.611 -14.69787 8.649737 + 1901 | 8.193255 6.055678 1.35 0.176 -3.690991 20.0775 + 1902 | 22.16093 10.23677 2.16 0.031 2.07131 42.25056 + 1905 | 9.847399 8.047926 1.22 0.221 -5.946626 25.64142 + 1906 | 13.23568 6.974187 1.90 0.058 -.4511387 26.92249 + 1907 | 10.02331 6.846234 1.46 0.144 -3.412396 23.45902 + 1908 | 11.9076 11.46854 1.04 0.299 -10.59937 34.41457 + 1909 | 5.388938 6.679826 0.81 0.420 -7.720196 18.49807 + 1910 | 15.16988 11.7175 1.29 0.196 -7.825665 38.16542 + 1911 | 9.300869 7.649897 1.22 0.224 -5.712027 24.31376 + 1912 | .585917 5.755584 0.10 0.919 -10.70939 11.88123 + 1914 | 6.623277 6.222444 1.06 0.287 -5.588245 18.8348 + 1915 | -.7494889 6.736652 -0.11 0.911 -13.97014 12.47117 + 1919 | 7.873138 5.943648 1.32 0.186 -3.791249 19.53752 + 1920 | 42.94107 11.24469 3.82 0.000 20.87342 65.00873 + 1925 | 21.15946 7.368443 2.87 0.004 6.698915 35.62 + 1926 | 13.64521 7.61771 1.79 0.074 -1.304519 28.59494 + 1927 | 4.126064 6.088433 0.68 0.498 -7.822463 16.07459 + 1929 | 11.66258 6.662232 1.75 0.080 -1.412025 24.73719 + 1999 | 4.057248 5.801508 0.70 0.485 -7.328191 15.44269 + 2000 | 6.366489 5.9706 1.07 0.287 -5.350791 18.08377 + 2001 | 9.842684 6.815719 1.44 0.149 -3.53314 23.21851 + 2002 | 12.21332 6.617822 1.85 0.065 -.7741297 25.20077 + 2003 | 26.02545 10.78895 2.41 0.016 4.852184 47.19873 + 2004 | 9.475499 6.068382 1.56 0.119 -2.433678 21.38467 + 2005 | 41.58004 31.75869 1.31 0.191 -20.74627 103.9064 + 2006 | 91.02291 23.70463 3.84 0.000 44.50266 137.5432 + 2007 | 11.88496 10.49615 1.13 0.258 -8.713704 32.48362 + 2008 | 15.2553 6.663864 2.29 0.022 2.177493 28.33311 + 2009 | 3.024567 6.699069 0.45 0.652 -10.12233 16.17147 + 2011 | 3.730832 5.966556 0.63 0.532 -7.978512 15.44018 + 2012 | 5.744486 6.743272 0.85 0.394 -7.48916 18.97813 + 2013 | 14.58656 6.987699 2.09 0.037 .8732223 28.29989 + 2014 | 6.211153 6.750623 0.92 0.358 -7.036918 19.45922 + 2015 | -.5406586 7.272209 -0.07 0.941 -14.81234 13.73102 + 2030 | 31.8293 16.68485 1.91 0.057 -.9146635 64.57326 + 2099 | 15.69555 9.083805 1.73 0.084 -2.131384 33.52248 + 2100 | 8.371554 7.676247 1.09 0.276 -6.693052 23.43616 + 2101 | 12.18637 5.879996 2.07 0.038 .6469041 23.72584 + 2102 | 3.587354 5.666651 0.63 0.527 -7.533426 14.70814 + 2103 | 7.845584 6.205073 1.26 0.206 -4.331848 20.02302 + 2104 | 4.5171 5.675801 0.80 0.426 -6.621639 15.65584 + 2105 | 13.62651 7.137876 1.91 0.057 -.3815502 27.63456 + 2199 | -2.498602 6.684374 -0.37 0.709 -15.61666 10.61946 + 9999 | 47.52809 22.27698 2.13 0.033 3.809606 91.24657 + | + house_administration | 3.994806 3.500985 1.14 0.254 -2.875865 10.86548 + house_agriculture | 3.249654 2.10008 1.55 0.122 -.8717439 7.371053 + house_appropriations | -3.635404 2.097492 -1.73 0.083 -7.751724 .4809149 + house_armedservices | 3.700886 3.071155 1.21 0.228 -2.326244 9.728015 + house_budget | 13.39849 5.224278 2.56 0.010 3.145861 23.65111 + house_dc | 1.177086 4.165503 0.28 0.778 -6.997698 9.351869 + house_educlabor | -1.745032 3.050439 -0.57 0.567 -7.731506 4.241442 + house_energycommerce | 9.909144 1.898379 5.22 0.000 6.183583 13.63471 + house_foreignaffairs | 3.109534 2.427509 1.28 0.201 -1.654444 7.873512 + house_governmentop | 13.50921 3.962907 3.41 0.001 5.732019 21.2864 + house_intelligence | -11.02217 4.427926 -2.49 0.013 -19.71196 -2.332386 + house_interior | 1.734807 2.317707 0.75 0.454 -2.813685 6.283299 + house_judiciary | 4.370594 1.596577 2.74 0.006 1.237319 7.50387 + house_mmf | 4.4413 2.836844 1.57 0.118 -1.125997 10.0086 + house_pocs | 8.078912 4.377061 1.85 0.065 -.5110537 16.66888 + house_pwt | 4.688869 2.764713 1.70 0.090 -.7368695 10.11461 + house_rules | 1.982721 2.566105 0.77 0.440 -3.05325 7.018692 + house_sst | -2.835271 5.137208 -0.55 0.581 -12.91702 7.24648 + house_smallbusi | -1.993516 3.534032 -0.56 0.573 -8.929041 4.94201 + house_soc | -6.821061 5.665514 -1.20 0.229 -17.93961 4.29749 + house_veterans | -9.013799 3.275912 -2.75 0.006 -15.44276 -2.584835 + house_waysandmeans | 4.997891 1.626045 3.07 0.002 1.806784 8.188998 +house_naturalresources | -.6696152 2.47269 -0.27 0.787 -5.52226 4.183029 + house_bfs | -4.609242 2.039391 -2.26 0.024 -8.61154 -.6069443 + house_eeo | .3951753 4.834353 0.08 0.935 -9.092225 9.882576 + house_govreform | 1.684838 2.423584 0.70 0.487 -3.071435 6.441112 + house_ir | 8.889836 2.383774 3.73 0.000 4.211689 13.56798 + house_natsecur | .722423 9.062105 0.08 0.936 -17.06192 18.50677 + house_oversight | 10.70536 5.36288 2.00 0.046 .180727 21.22999 + house_resources | -3.572238 1.973827 -1.81 0.071 -7.445866 .3013896 + house_science | .0821989 2.900745 0.03 0.977 -5.610503 5.774901 + house_transp | 4.744193 2.666614 1.78 0.076 -.4890282 9.977414 + house_homeland | 1.305429 2.730953 0.48 0.633 -4.054055 6.664914 + _cons | -4.904673 5.894167 -0.83 0.406 -16.47195 6.662608 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 939 1 0 1 1 +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(62,331 observations deleted) +(16 missing values generated) +(2 real changes made) +(0 real changes made) +(18 missing values generated) +(0 real changes made) +(0 real changes made) +(17 missing values generated) +(1 real change made) +(1 real change made) +(17 missing values generated) +(1 real change made) +(1 real change made) +(17 missing values generated) +(1 real change made) +(1 real change made) +(5 real changes made) +(5 real changes made) +(5 real changes made) +file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/Table7_numb_cosponsors_T1.xls saved + +. +. log close + name: + log: /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Log/Table7.log + log type: text + closed on: 8 Jul 2021, 12:31:50 +--------------------------------------------------------------------------------------------------------------------------------------------------------------------- diff --git a/30/replication_package/Log/Table8.log b/30/replication_package/Log/Table8.log new file mode 100644 index 0000000000000000000000000000000000000000..e2a491dd797a78cf6e2a1c9d9877fa9e021c3e11 --- /dev/null +++ b/30/replication_package/Log/Table8.log @@ -0,0 +1,5925 @@ +--------------------------------------------------------------------------------------------------------------------------------------------------------------------- + name: + log: /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Log/Table8.log + log type: text + opened on: 8 Jul 2021, 12:32:19 + +. +. +. use "$AnalysisData/bills_analysis_101-111_replication.dta" +(Bill-level data set. Each observation is an individual bill.) + +. +. keep if private==0 +(1,546 observations deleted) + +. +. bysort v2 sponsor_state_abbrev sponsor_district sponsor_term_served: egen tot_bills=count(v2) + +. +. gen byte sponsor_democrat = sponsor_party==100 if sponsor_party~=. +(1,036 missing values generated) + +. +. gen byte NE = sponsor_state_icpsr>=1 & sponsor_state_icpsr<=14 if sponsor_state_icpsr~=. +(1,015 missing values generated) + +. gen byte MW = sponsor_state_icpsr>=21 & sponsor_state_icpsr<=37 if sponsor_state_icpsr~=. +(1,015 missing values generated) + +. gen byte SO = sponsor_state_icpsr>=40 & sponsor_state_icpsr<=56 if sponsor_state_icpsr~=. +(1,015 missing values generated) + +. gen byte WE = sponsor_state_icpsr>=61 & sponsor_state_icpsr<=82 if sponsor_state_icpsr~=. +(1,015 missing values generated) + +. +. replace sponsor_age=. if sponsor_age>100 +(0 real changes made) + +. gen sponsor_rookie=(sponsor_tenure_run==1) if sponsor_tenure_run!=. +(1,015 missing values generated) + +. gen byte leader = (comc==1) | (comr==1) if comc~=. & comr~=. +(1,015 missing values generated) + +. +. gen lnpden=lnpop-lnarea +(1,015 missing values generated) + +. gen absMV=abs(MV1_democrat) +(6,677 missing values generated) + +. +. egen tag_congressmen=tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) + +. egen group_congressmen = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +(1,015 missing values generated) + +. egen tag_sponsor = tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) + +. egen group_sponsor = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +(1,015 missing values generated) + +. +. cap drop pct_cosponsors_opposite + +. gen pct_cosponsors_opposite=100*numb_cosponsors_opposite/(numb_cosponsors+1) +(1,015 missing values generated) + +. replace pct_cosponsors_opposite=. if pct_cosponsors_opposite>100 +(3 real changes made, 3 to missing) + +. +. foreach num of numlist 1 3 { + 2. foreach var of varlist numb_cosponsors numb_cosponsors_opposite { + 3. gen `var'`num'=`var' if women_friend`num'==1 + 4. replace `var'`num'=0 if women_friend`num'==0 + 5. } + 6. gen pct_cosponsors_opposite`num'=100*numb_cosponsors_opposite`num'/(numb_cosponsors`num'+1) + 7. replace pct_cosponsors_opposite`num'=. if pct_cosponsors_opposite`num'>100 + 8. } +(42,114 missing values generated) +(41,922 real changes made) +(41,922 missing values generated) +(41,922 real changes made) +(192 missing values generated) +(2 real changes made, 2 to missing) +(51,059 missing values generated) +(50,956 real changes made) +(50,974 missing values generated) +(50,956 real changes made) +(103 missing values generated) +(1 real change made, 1 to missing) + +. +. compress + variable tot_bills was float now int + variable sponsor_rookie was float now byte + variable group_congressmen was float now int + variable group_sponsor was float now int + variable numb_cosponsors1 was float now int + variable numb_cosponsors_opposite1 was float now int + variable numb_cosponsors3 was float now int + variable numb_cosponsors_opposite3 was float now int + (1,059,933 bytes saved) + +. +. egen tag_bill = tag(v2 HRnumber) + +. +. gen int decade = 1980 if v2<=102 +(50,563 missing values generated) + +. replace decade=1990 if v2>=103 & v2<=107 +(25,238 real changes made) + +. replace decade=2000 if v2>=108 +(25,325 real changes made) + +. +. egen district_id = group(decade sponsor_state_abbrev sponsor_district) +(1,015 missing values generated) + +. +. local controls1 = "i.v2 " + +. local controls2 = "i.v2 MV1_female femaleXMV1_female " + +. local controls3 = "i.v2 MV1_female femaleXMV1_female " + +. local controls4 = "i.v2 " + +. local controls5 = "i.v2 " + +. +. local other_controls = "i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate to +> t_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden" + +. local billchars = "i.minor house_*" + +. local indivchars = "sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate tot_bills" + +. local districtchars = "NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden" + +. +. local if1 = "if tag_bill==1" + +. local if2 = "if sponsor_party==100 & tag_bill==1" + +. local if3 = "if sponsor_party==200 & tag_bill==1" + +. +. foreach depvar of varlist numb_cosponsors { + 2. foreach num of numlist 1 { + 3. forvalues l = 0/1 { + 4. forvalues j = 1/5 { + 5. forvalues k = 1/3 { + 6. qui reg `depvar' sponsor_female `controls3' `other_controls' `if`k'' & mixed_gender_election==1 & women_friend`num'==`l', robust cluster(grou +> p_sponsor) + 7. qui gen sample=e(sample) + 8. +. di "" + 9. di "" + 10. di "j = ", `j', "k = ", `k' + 11. di "" + 12. di "" + 13. +. di "rdbwselect_2014 `depvar' MV1_female `if`k'', c(0) kernel(uniform)" + 14. rdbwselect_2014 `depvar' MV1_female `if`k'', c(0) kernel(uniform) + 15. local band = e(h_CCT) + 16. +. if `j'==1 { + 17. di "reg `depvar' sponsor_female `controls`j'' `other_controls' `if`k'' & women_friend`num'==`l', robust cluster(group_sponsor)" + 18. reg `depvar' sponsor_female `controls`j'' `other_controls' `if`k'' & women_friend`num'==`l', robust cluster(group_sponsor) + 19. } + 20. else if `j'==2 { + 21. di "reg `depvar' sponsor_female `controls`j'' `if`k'' & sample==1 & abs(MV1_female)<=`band' & women_friend`num'==`l', robust cluster(group +> _sponsor)" + 22. reg `depvar' sponsor_female `controls`j'' `if`k'' & sample==1 & abs(MV1_female)<=`band' & women_friend`num'==`l', robust cluster(group_spo +> nsor) + 23. } + 24. else if `j'==3 { + 25. qui probit sponsor_female i.v2 `districtchars' `if`k'' & tag_sponsor==1 & abs(MV1_female)<=`band' + 26. predict pscore if sample==1 + 27. gen wt = 1/pscore if sponsor_female==1 + 28. replace wt =1/(1-pscore) if sponsor_female==0 + 29. di "reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & sample==1 & women_friend`num'==`l' & abs(MV1_female)<=`band', +> robust cluster(group_sponsor)" + 30. reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & sample==1 & women_friend`num'==`l' & abs(MV1_female)<=`band', robust c +> luster(group_sponsor) + 31. drop pscore wt + 32. } + 33. else if `j'==4 { + 34. qui probit sponsor_female i.v2 `districtchars' absMV `if`k'' & tag_sponsor==1 + 35. predict pscore + 36. gen wt = 1/pscore if sponsor_female==1 + 37. replace wt =1/(1-pscore) if sponsor_female==0 + 38. di "reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & women_friend`num'==`l', robust cluster(group_sponsor)" + 39. reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & women_friend`num'==`l', robust cluster(group_sponsor) + 40. drop pscore wt + 41. } + 42. else if `j'==5 { + 43. qui probit sponsor_female i.v2 `districtchars' `indivchars' absMV `if`k'' & tag_sponsor==1 + 44. predict pscore + 45. gen wt = 1/pscore if sponsor_female==1 + 46. replace wt =1/(1-pscore) if sponsor_female==0 + 47. di "reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & women_friend`num'==`l', robust cluster(group_sponsor)" + 48. reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & women_friend`num'==`l', robust cluster(group_sponsor) + 49. drop pscore wt + 50. } + 51. +. if `j'~=2 & `j'~=3 { + 52. scalar b_col`j'_row`k' = _b[sponsor_female] + 53. scalar se_col`j'_row`k' = _se[sponsor_female] + 54. scalar n_col`j'_row`k' = e(N) + 55. sum tag_congressmen if tag_congressmen==1 & e(sample) + 56. scalar ni_col`j'_row`k' = e(N_clust) + 57. scalar ob_col`j'_row`k' = . + 58. } + 59. else if `j'==2 | `j'==3 { + 60. scalar b_col`j'_row`k' = _b[sponsor_female] + 61. scalar se_col`j'_row`k' = _se[sponsor_female] + 62. scalar n_col`j'_row`k' = e(N) + 63. sum tag_congressmen if tag_congressmen==1 & e(sample) + 64. scalar ni_col`j'_row`k' = e(N_clust) + 65. scalar ob_col`j'_row`k' = round(`band') + 66. } + 67. +. drop sample + 68. } // closes j loop + 69. } // closes k loop + 70. +. preserve + 71. +. * Display results +. +. forvalues i = 1/5 { + 72. gen var`i' =. + 73. } + 74. gen str20 var6 = "" + 75. +. forvalues j=1/5 { + 76. forvalues k = 1/3 { + 77. replace var`j' = b_col`j'_row`k' if _n==6*(`k'-1)+1 + 78. replace var`j' = se_col`j'_row`k' if _n==6*(`k'-1)+2 + 79. replace var`j' = n_col`j'_row`k' if _n==6*(`k'-1)+3 + 80. replace var`j' = ni_col`j'_row`k' if _n==6*(`k'-1)+4 + 81. replace var`j' = ob_col`j'_row`k' if _n==6*(`k'-1)+5 + 82. } + 83. } + 84. +. keep var1-var6 + 85. keep if _n<=18 + 86. +. order var6 var1-var5 + 87. +. ren var6 sampletype + 88. ren var1 OLS_all + 89. ren var2 RD_bwidth + 90. ren var3 RD_match_bw + 91. ren var4 PS_match + 92. ren var5 PS_match_indiv + 93. +. foreach var of varlist OLS_all RD_bwidth RD_match_bw PS_match PS_match_indiv { + 94. gen str3 `var'_stars ="*" if abs(`var'/`var'[_n+1])>=1.645 & mod(_n,6)==1 + 95. replace `var'_stars ="**" if abs(`var'/`var'[_n+1])>=1.96 & mod(_n,6)==1 + 96. replace `var'_stars="***" if abs(`var'/`var'[_n+1])>=2.58 & mod(_n,6)==1 + 97. } + 98. +. replace sampletype = "All" if _n>=1 & _n<=5 + 99. replace sampletype = "Democrats" if _n>=7 & _n<=11 +100. replace sampletype = "Republicans" if _n>=13 & _n<=17 +101. +. order sampletype OLS_all OLS_all_stars RD_bwidth RD_bwidth_stars RD_match_bw RD_match_bw_stars PS_match PS_match_stars PS_match_indiv PS_match_indiv_stars +102. export excel using "$Output/Table8_`depvar'_WF`num'`l'", firstrow(var) replace +103. restore +104. } // closes l loop +105. } // closes num loop +106. } + + +j = 1 k = 1 + + +rdbwselect_2014 numb_cosponsors MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11990 +----------------------+---------------------- NN matches = 3 + Number of obs | 6151 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 25.22792 46.13311 .5468506 +---------------------------------------------- +reg numb_cosponsors sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 +> borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if tag_bill==1 & women_friend1==0, robust cluster(group_sponsor) + +Linear regression Number of obs = 40,598 + F(220, 4647) = . + Prob > F = . + R-squared = 0.0997 + Root MSE = 32.554 + + (Std. Err. adjusted for 4,648 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | .8152513 .6881233 1.18 0.236 -.533797 2.1643 + | + v2 | + 102 | -1.01783 1.042787 -0.98 0.329 -3.062188 1.026528 + 103 | -4.0477 1.208534 -3.35 0.001 -6.417 -1.6784 + 104 | -4.915661 1.321039 -3.72 0.000 -7.505525 -2.325798 + 105 | -2.075954 1.337124 -1.55 0.121 -4.697352 .5454445 + 106 | -.8574491 1.394899 -0.61 0.539 -3.592113 1.877214 + 107 | -2.190862 1.282079 -1.71 0.088 -4.704345 .3226216 + 108 | 3.791815 3.15474 1.20 0.229 -2.392973 9.976602 + 109 | 3.526241 3.057274 1.15 0.249 -2.467466 9.519949 + 110 | 3.86541 3.0442 1.27 0.204 -2.102667 9.833487 + 111 | 2.342977 3.094367 0.76 0.449 -3.72345 8.409405 + | + minor | + 101 | -2.123293 4.984863 -0.43 0.670 -11.89599 7.649405 + 103 | -3.387883 5.17056 -0.66 0.512 -13.52464 6.748869 + 104 | .4433638 3.602999 0.12 0.902 -6.620225 7.506953 + 105 | 7.635654 5.682227 1.34 0.179 -3.504207 18.77552 + 107 | 6.650865 3.007066 2.21 0.027 .7555898 12.54614 + 108 | 4.511478 5.192584 0.87 0.385 -5.668452 14.69141 + 110 | 4.967527 9.52249 0.52 0.602 -13.70107 23.63613 + 400 | 2.828303 4.039041 0.70 0.484 -5.090133 10.74674 + 401 | 1.342651 3.444414 0.39 0.697 -5.410036 8.095338 + 402 | 2.134121 3.135061 0.68 0.496 -4.012086 8.280328 + 403 | 6.367708 3.58864 1.77 0.076 -.6677289 13.40314 + 404 | 5.973122 4.485069 1.33 0.183 -2.819743 14.76599 + 405 | 26.46862 7.038021 3.76 0.000 12.67076 40.26648 + 498 | 15.15841 7.865016 1.93 0.054 -.2607562 30.57757 + 499 | 13.26797 8.054743 1.65 0.100 -2.523153 29.05909 + 700 | 3.997783 3.260786 1.23 0.220 -2.394906 10.39047 + 701 | 5.975694 3.460423 1.73 0.084 -.8083773 12.75977 + 703 | 2.10311 3.182542 0.66 0.509 -4.136182 8.342403 + 704 | 5.086383 3.357396 1.51 0.130 -1.495707 11.66847 + 705 | 7.62641 3.51141 2.17 0.030 .742381 14.51044 + 707 | 18.18051 4.937177 3.68 0.000 8.501301 27.85972 + 708 | 6.926637 4.30912 1.61 0.108 -1.521283 15.37456 + 709 | 13.74233 3.212143 4.28 0.000 7.44501 20.03966 + 710 | 5.529881 3.190638 1.73 0.083 -.7252843 11.78505 + 711 | 6.993821 3.601457 1.94 0.052 -.0667446 14.05439 + 798 | 5.437363 4.211646 1.29 0.197 -2.819461 13.69419 + 799 | 1.804546 4.567632 0.40 0.693 -7.150181 10.75927 + 800 | -1.395558 3.201667 -0.44 0.663 -7.672344 4.881228 + 801 | -.8121474 3.621371 -0.22 0.823 -7.911753 6.287459 + 802 | -.9901571 3.175401 -0.31 0.755 -7.215449 5.235135 + 803 | 3.072687 3.075345 1.00 0.318 -2.956449 9.101824 + 805 | .1440657 3.328521 0.04 0.965 -6.381415 6.669546 + 806 | 4.002623 3.188266 1.26 0.209 -2.247891 10.25314 + 807 | 2.725489 3.318914 0.82 0.412 -3.781158 9.232136 + 898 | 3.6051 4.442144 0.81 0.417 -5.10361 12.31381 + 899 | -.4409919 4.28121 -0.10 0.918 -8.834195 7.952211 + 1000 | 1.406106 4.049646 0.35 0.728 -6.533122 9.345334 + 1001 | -.0034957 3.22745 -0.00 0.999 -6.33083 6.323839 + 1002 | 3.8125 3.367537 1.13 0.258 -2.78947 10.41447 + 1003 | 4.636071 3.178607 1.46 0.145 -1.595507 10.86765 + 1005 | 8.829516 4.361698 2.02 0.043 .2785175 17.38051 + 1006 | 7.457055 3.626111 2.06 0.040 .3481555 14.56595 + 1007 | 1.580764 3.180463 0.50 0.619 -4.654453 7.81598 + 1010 | .8288315 3.811046 0.22 0.828 -6.642627 8.30029 + 1098 | -6.512074 3.473049 -1.88 0.061 -13.3209 .2967497 + 1099 | 2.855958 5.03454 0.57 0.571 -7.01413 12.72605 + 1400 | 4.46055 3.652277 1.22 0.222 -2.699647 11.62075 + 1401 | 7.900276 3.754304 2.10 0.035 .5400587 15.26049 + 1403 | 6.578289 4.498775 1.46 0.144 -2.241445 15.39802 + 1404 | 2.631089 5.293742 0.50 0.619 -7.747158 13.00934 + 1405 | .1262021 3.24827 0.04 0.969 -6.241949 6.494353 + 1406 | 7.916529 4.00955 1.97 0.048 .055908 15.77715 + 1407 | 3.41003 3.662075 0.93 0.352 -3.769376 10.58944 + 1408 | 2.4142 4.343355 0.56 0.578 -6.100838 10.92924 + 1409 | 14.93827 4.843837 3.08 0.002 5.442054 24.43449 + 1410 | 5.015358 3.683951 1.36 0.173 -2.206934 12.23765 + 1499 | -1.010368 3.885762 -0.26 0.795 -8.628305 6.60757 + 1500 | 5.309253 5.189548 1.02 0.306 -4.864725 15.48323 + 1501 | 4.271358 3.236999 1.32 0.187 -2.074697 10.61741 + 1502 | 3.299106 3.331697 0.99 0.322 -3.232601 9.830813 + 1504 | 9.510467 3.899711 2.44 0.015 1.865182 17.15575 + 1505 | 3.684986 3.343807 1.10 0.271 -2.870463 10.24043 + 1507 | 2.309994 3.814878 0.61 0.545 -5.168976 9.788965 + 1520 | 3.586717 3.675912 0.98 0.329 -3.619815 10.79325 + 1521 | 3.750663 3.024554 1.24 0.215 -2.178897 9.680224 + 1522 | 1.285552 3.437064 0.37 0.708 -5.452725 8.023829 + 1523 | 2.296961 3.012248 0.76 0.446 -3.608475 8.202398 + 1524 | 23.64011 11.55485 2.05 0.041 .9871181 46.29311 + 1525 | 8.308165 3.294263 2.52 0.012 1.849845 14.76648 + 1526 | 4.975797 3.857231 1.29 0.197 -2.586206 12.5378 + 1599 | 12.59964 5.133975 2.45 0.014 2.534617 22.66467 + 1600 | -4.663367 3.367086 -1.38 0.166 -11.26445 1.93772 + 1602 | 13.41716 7.289211 1.84 0.066 -.8731556 27.70747 + 1603 | -7.029761 5.465803 -1.29 0.198 -17.74533 3.685808 + 1604 | -1.085494 4.398798 -0.25 0.805 -9.709226 7.538238 + 1605 | 6.433729 4.331384 1.49 0.138 -2.057839 14.9253 + 1606 | 4.003509 4.847802 0.83 0.409 -5.500483 13.5075 + 1608 | 12.21318 3.348986 3.65 0.000 5.647575 18.77878 + 1609 | 11.77544 3.619418 3.25 0.001 4.67966 18.87122 + 1610 | 4.399922 4.674947 0.94 0.347 -4.765193 13.56504 + 1611 | -3.901849 3.375248 -1.16 0.248 -10.51894 2.715238 + 1612 | 5.991945 3.650769 1.64 0.101 -1.165294 13.14918 + 1614 | -.589865 3.808924 -0.15 0.877 -8.057164 6.877434 + 1615 | 1.252396 3.377398 0.37 0.711 -5.368907 7.873698 + 1616 | -4.85743 3.104366 -1.56 0.118 -10.94346 1.2286 + 1617 | -1.800576 3.746488 -0.48 0.631 -9.145471 5.54432 + 1619 | 4.78694 4.430754 1.08 0.280 -3.899441 13.47332 + 1620 | -1.639651 4.174073 -0.39 0.694 -9.822815 6.543513 + 1698 | -7.372067 3.407437 -2.16 0.031 -14.05226 -.6918728 + 1699 | 20.64533 5.311431 3.89 0.000 10.2324 31.05825 + 1700 | 6.121425 4.746176 1.29 0.197 -3.183333 15.42618 + 1701 | -.2934369 3.339019 -0.09 0.930 -6.839499 6.252625 + 1704 | .7146629 3.709813 0.19 0.847 -6.558332 7.987657 + 1705 | -.5706446 4.906894 -0.12 0.907 -10.19049 9.049197 + 1706 | 6.048131 3.542372 1.71 0.088 -.8966004 12.99286 + 1707 | 10.38078 3.625098 2.86 0.004 3.273865 17.48769 + 1708 | 1.921845 3.428133 0.56 0.575 -4.798924 8.642613 + 1709 | 9.359646 3.886785 2.41 0.016 1.739702 16.97959 + 1798 | 10.89243 4.808815 2.27 0.024 1.464867 20.31998 + 1799 | 3.345935 5.907951 0.57 0.571 -8.236452 14.92832 + 1800 | -.9347792 3.507537 -0.27 0.790 -7.811217 5.941658 + 1802 | 1.730118 3.221 0.54 0.591 -4.584571 8.044807 + 1803 | 2.395366 3.681668 0.65 0.515 -4.822451 9.613182 + 1804 | -1.334382 3.412676 -0.39 0.696 -8.024847 5.356084 + 1806 | .8601286 3.556347 0.24 0.809 -6.111999 7.832256 + 1807 | -9.013626 2.913237 -3.09 0.002 -14.72495 -3.3023 + 1808 | 10.70595 8.242849 1.30 0.194 -5.453941 26.86585 + 1899 | 21.05479 13.95483 1.51 0.131 -6.303299 48.41287 + 1900 | -.9448174 3.631458 -0.26 0.795 -8.064198 6.174564 + 1901 | 8.896281 3.576724 2.49 0.013 1.884205 15.90836 + 1902 | 9.364016 4.461654 2.10 0.036 .6170564 18.11098 + 1905 | 23.52132 6.127937 3.84 0.000 11.50766 35.53499 + 1906 | 4.460744 3.616053 1.23 0.217 -2.628435 11.54992 + 1907 | 2.38968 4.386797 0.54 0.586 -6.210524 10.98988 + 1908 | .8861027 5.37709 0.16 0.869 -9.655546 11.42775 + 1909 | -.4372285 4.416467 -0.10 0.921 -9.0956 8.221143 + 1910 | 5.228855 5.16186 1.01 0.311 -4.890841 15.34855 + 1911 | 12.5699 6.984338 1.80 0.072 -1.122718 26.26252 + 1912 | -.3931048 12.75522 -0.03 0.975 -25.39938 24.61317 + 1914 | 9.340942 4.245207 2.20 0.028 1.018322 17.66356 + 1915 | -7.420283 3.448885 -2.15 0.031 -14.18173 -.6588325 + 1919 | .6527662 4.012857 0.16 0.871 -7.214337 8.51987 + 1920 | 19.66928 5.636517 3.49 0.000 8.619027 30.71953 + 1925 | 15.91357 4.159276 3.83 0.000 7.759416 24.06772 + 1926 | 9.932287 3.992811 2.49 0.013 2.104482 17.76009 + 1927 | 2.373608 3.570829 0.66 0.506 -4.626911 9.374127 + 1929 | 5.265383 4.141304 1.27 0.204 -2.853539 13.3843 + 1999 | 1.232335 8.237273 0.15 0.881 -14.91663 17.3813 + 2000 | -2.013774 3.40012 -0.59 0.554 -8.679622 4.652075 + 2001 | 4.116493 3.582405 1.15 0.251 -2.90672 11.13971 + 2002 | 4.469575 3.303804 1.35 0.176 -2.007448 10.9466 + 2003 | 19.67539 4.916012 4.00 0.000 10.03767 29.3131 + 2004 | 7.36466 3.282517 2.24 0.025 .9293689 13.79995 + 2005 | 1.338792 5.107221 0.26 0.793 -8.673786 11.35137 + 2006 | 79.33742 6.374735 12.45 0.000 66.83991 91.83492 + 2007 | 2.95736 3.682052 0.80 0.422 -4.26121 10.17593 + 2008 | 5.092679 2.996534 1.70 0.089 -.7819493 10.96731 + 2009 | 5.986265 5.657677 1.06 0.290 -5.105466 17.078 + 2010 | -12.6857 3.219973 -3.94 0.000 -18.99837 -6.37302 + 2011 | 1.531347 3.134424 0.49 0.625 -4.613611 7.676306 + 2012 | 1.774972 3.281586 0.54 0.589 -4.658494 8.208439 + 2013 | 2.616955 3.608112 0.73 0.468 -4.456657 9.690566 + 2014 | 2.041106 4.210132 0.48 0.628 -6.21275 10.29496 + 2015 | 1.361606 3.815079 0.36 0.721 -6.117759 8.840972 + 2030 | 21.12777 6.94325 3.04 0.002 7.515701 34.73983 + 2099 | 16.38636 6.522189 2.51 0.012 3.599774 29.17295 + 2100 | -.782656 3.664135 -0.21 0.831 -7.966099 6.400787 + 2101 | 4.496022 3.025193 1.49 0.137 -1.434791 10.42684 + 2102 | .844135 3.069327 0.28 0.783 -5.173204 6.861474 + 2103 | 2.26518 2.989118 0.76 0.449 -3.59491 8.12527 + 2104 | -2.183611 2.949334 -0.74 0.459 -7.965705 3.598482 + 2105 | 11.13965 6.294757 1.77 0.077 -1.201061 23.48036 + 2199 | -3.534025 3.596285 -0.98 0.326 -10.58445 3.5164 + 9999 | 29.89223 9.338629 3.20 0.001 11.58409 48.20038 + | + house_administration | 2.968334 1.754337 1.69 0.091 -.471 6.407668 + house_agriculture | 2.933282 .9330065 3.14 0.002 1.104147 4.762418 + house_appropriations | 2.653395 4.261414 0.62 0.534 -5.700998 11.00779 + house_armedservices | 4.073347 1.294002 3.15 0.002 1.536488 6.610206 + house_budget | 5.955608 2.824135 2.11 0.035 .418963 11.49225 + house_dc | -4.584937 3.29236 -1.39 0.164 -11.03953 1.869651 + house_educlabor | 3.483051 1.251632 2.78 0.005 1.029259 5.936843 + house_energycommerce | 3.246725 .7145787 4.54 0.000 1.845812 4.647639 + house_foreignaffairs | 4.280304 1.300837 3.29 0.001 1.730047 6.830562 + house_governmentop | 5.443046 2.168349 2.51 0.012 1.192053 9.694039 + house_intelligence | 8.531714 5.994544 1.42 0.155 -3.220438 20.28386 + house_interior | -1.907136 1.101762 -1.73 0.084 -4.067113 .2528405 + house_judiciary | 3.062365 .7887332 3.88 0.000 1.516074 4.608656 + house_mmf | .1832994 1.272657 0.14 0.885 -2.311713 2.678312 + house_pocs | 4.203365 1.931857 2.18 0.030 .4160092 7.99072 + house_pwt | .7209389 1.037323 0.69 0.487 -1.312706 2.754584 + house_rules | 4.478925 1.569624 2.85 0.004 1.401718 7.556132 + house_sst | 5.095337 2.049625 2.49 0.013 1.077099 9.113574 + house_smallbusi | -3.08211 1.190114 -2.59 0.010 -5.415299 -.7489209 + house_soc | -2.288765 7.561111 -0.30 0.762 -17.11213 12.5346 + house_veterans | 2.911247 2.00464 1.45 0.146 -1.018799 6.841293 + house_waysandmeans | 4.402961 .6736103 6.54 0.000 3.082366 5.723557 +house_naturalresources | -.9102687 .9420583 -0.97 0.334 -2.75715 .9366126 + house_bfs | 2.299192 .949812 2.42 0.016 .4371097 4.161274 + house_eeo | .4380422 4.062232 0.11 0.914 -7.525861 8.401945 + house_govreform | 3.89151 1.097768 3.54 0.000 1.739364 6.043655 + house_ir | 4.86628 1.381469 3.52 0.000 2.157946 7.574615 + house_natsecur | 5.926205 2.415563 2.45 0.014 1.190554 10.66186 + house_oversight | 1.698836 1.349881 1.26 0.208 -.9475713 4.345243 + house_resources | -1.490461 .8404454 -1.77 0.076 -3.138133 .1572104 + house_science | -1.644902 1.142551 -1.44 0.150 -3.884844 .59504 + house_transp | .7274284 .7134912 1.02 0.308 -.671353 2.12621 + house_homeland | .349779 1.41697 0.25 0.805 -2.428155 3.127713 + sponsor_democrat | .7689766 .4660308 1.65 0.099 -.1446649 1.682618 + sponsor_rookie | -3.354942 .596554 -5.62 0.000 -4.524471 -2.185413 + sponsor_tenure_run | .0078271 .0993965 0.08 0.937 -.1870372 .2026914 + sponsor_age | -.00386 .0273888 -0.14 0.888 -.057555 .049835 + leader | .5086519 .6401866 0.79 0.427 -.7464176 1.763721 + ivycoll | -1.255846 .6455736 -1.95 0.052 -2.521477 .0097843 + black | .6963057 1.214089 0.57 0.566 -1.683886 3.076497 + occ0 | 2.761715 .6963384 3.97 0.000 1.396562 4.126869 + occ1 | 1.587371 .7829826 2.03 0.043 .0523537 3.122389 + occ2 | .5272101 .5982129 0.88 0.378 -.6455711 1.699991 + occ3 | -1.303719 .8232685 -1.58 0.113 -2.917716 .310278 + occ4 | .6527534 .6532867 1.00 0.318 -.6279986 1.933505 + borninstate | 1.184668 .4301577 2.75 0.006 .3413547 2.027981 + tot_bills | -.1058548 .0314086 -3.37 0.001 -.1674306 -.044279 + NE | -2.092788 .6691032 -3.13 0.002 -3.404548 -.7810287 + MW | -1.417572 .6524909 -2.17 0.030 -2.696764 -.1383801 + WE | -.0691847 .6915869 -0.10 0.920 -1.425023 1.286654 + pct_black | -1.289486 2.472411 -0.52 0.602 -6.136584 3.557612 + pct_urban | .2097287 1.381406 0.15 0.879 -2.498482 2.91794 + pct_for_born | -2.223217 3.520959 -0.63 0.528 -9.125968 4.679535 + pct_age_over65 | 19.69068 6.184261 3.18 0.001 7.566592 31.81477 + lninc | 5.091593 1.329384 3.83 0.000 2.485369 7.697817 + lnpden | .291967 .1902659 1.53 0.125 -.0810444 .6649785 + _cons | -46.57711 13.49684 -3.45 0.001 -73.03732 -20.1169 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 3,246 1 0 1 1 + + +j = 1 k = 2 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6187 +----------------------+---------------------- NN matches = 3 + Number of obs | 2193 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 29.70309 50.99673 .5824509 +---------------------------------------------- +reg numb_cosponsors sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 +> borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if sponsor_party==100 & tag_bill==1 & women_friend1==0, robust cluster +> (group_sponsor) +note: sponsor_democrat omitted because of collinearity + +Linear regression Number of obs = 21,126 + F(219, 2433) = . + Prob > F = . + R-squared = 0.1095 + Root MSE = 32.777 + + (Std. Err. adjusted for 2,434 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | .5159976 .8540083 0.60 0.546 -1.158661 2.190656 + | + v2 | + 102 | -1.277528 1.135741 -1.12 0.261 -3.504648 .9495923 + 103 | -5.342517 1.60591 -3.33 0.001 -8.491609 -2.193425 + 104 | -10.85024 1.704048 -6.37 0.000 -14.19177 -7.508703 + 105 | -5.472804 1.807461 -3.03 0.002 -9.017127 -1.928482 + 106 | -3.46425 1.895107 -1.83 0.068 -7.18044 .2519406 + 107 | -5.491463 1.759271 -3.12 0.002 -8.941286 -2.041639 + 108 | -4.721133 4.778011 -0.99 0.323 -14.09052 4.648257 + 109 | -6.379307 4.631681 -1.38 0.169 -15.46175 2.703139 + 110 | -2.09138 4.661358 -0.45 0.654 -11.23202 7.049261 + 111 | -4.02237 4.687291 -0.86 0.391 -13.21386 5.169125 + | + minor | + 101 | -4.637705 5.450219 -0.85 0.395 -15.32525 6.049844 + 103 | -10.89847 5.764884 -1.89 0.059 -22.20305 .406123 + 104 | -3.787325 5.416114 -0.70 0.484 -14.408 6.833346 + 105 | -.3142865 5.29232 -0.06 0.953 -10.69221 10.06363 + 107 | .5020268 4.89466 0.10 0.918 -9.096106 10.10016 + 108 | 6.898073 7.499319 0.92 0.358 -7.807638 21.60378 + 110 | -5.004166 8.124336 -0.62 0.538 -20.9355 10.92717 + 400 | 4.062865 6.16881 0.66 0.510 -8.033799 16.15953 + 401 | .3494039 5.601374 0.06 0.950 -10.63455 11.33336 + 402 | -.5473122 4.963887 -0.11 0.912 -10.28119 9.18657 + 403 | 1.955129 5.072211 0.39 0.700 -7.991171 11.90143 + 404 | -.2833503 5.505085 -0.05 0.959 -11.07849 10.51179 + 405 | 33.22888 9.830112 3.38 0.001 13.95262 52.50513 + 498 | 21.99525 13.1737 1.67 0.095 -3.837569 47.82808 + 499 | 3.00684 9.38899 0.32 0.749 -15.4044 21.41808 + 700 | 5.737194 5.160627 1.11 0.266 -4.382483 15.85687 + 701 | 6.95501 5.480483 1.27 0.205 -3.791885 17.7019 + 703 | 1.647682 5.04806 0.33 0.744 -8.251259 11.54662 + 704 | 5.501778 5.283639 1.04 0.298 -4.859119 15.86267 + 705 | 10.03332 5.73275 1.75 0.080 -1.208256 21.2749 + 707 | 18.40735 6.629599 2.78 0.006 5.407112 31.4076 + 708 | 3.873417 5.477073 0.71 0.480 -6.866792 14.61363 + 709 | 18.26436 5.171703 3.53 0.000 8.122958 28.40575 + 710 | 7.129323 5.212583 1.37 0.172 -3.092238 17.35088 + 711 | 12.06821 6.473022 1.86 0.062 -.6249967 24.76141 + 798 | 2.988658 5.772721 0.52 0.605 -8.331299 14.30862 + 799 | -.4644849 7.701561 -0.06 0.952 -15.56678 14.63781 + 800 | -.3811463 5.1592 -0.07 0.941 -10.49803 9.735733 + 801 | .4174527 5.56179 0.08 0.940 -10.48888 11.32379 + 802 | -.5016241 5.143155 -0.10 0.922 -10.58704 9.583791 + 803 | -.4763689 4.876244 -0.10 0.922 -10.03839 9.08565 + 805 | .3461294 5.321595 0.07 0.948 -10.0892 10.78145 + 806 | 1.397333 4.956356 0.28 0.778 -8.321781 11.11645 + 807 | 1.876145 5.183851 0.36 0.717 -8.289072 12.04136 + 898 | 10.43669 7.279779 1.43 0.152 -3.83852 24.71189 + 899 | -.0585483 7.760335 -0.01 0.994 -15.2761 15.159 + 1000 | .0357725 5.39761 0.01 0.995 -10.54861 10.62016 + 1001 | -1.243657 5.080122 -0.24 0.807 -11.20547 8.718156 + 1002 | 1.81905 5.176021 0.35 0.725 -8.330813 11.96891 + 1003 | 3.682412 5.056618 0.73 0.467 -6.233311 13.59814 + 1005 | 8.486022 6.647092 1.28 0.202 -4.548524 21.52057 + 1006 | 4.536344 5.552858 0.82 0.414 -6.352474 15.42516 + 1007 | 2.418905 5.136311 0.47 0.638 -7.65309 12.4909 + 1010 | .7449439 5.578975 0.13 0.894 -10.19509 11.68498 + 1098 | -6.060832 5.554311 -1.09 0.275 -16.9525 4.830836 + 1099 | 1.849217 8.039384 0.23 0.818 -13.91553 17.61396 + 1400 | 2.437665 5.360727 0.45 0.649 -8.074396 12.94973 + 1401 | 4.052581 5.160509 0.79 0.432 -6.066866 14.17203 + 1403 | 7.020483 6.164449 1.14 0.255 -5.067629 19.10859 + 1404 | 6.20798 9.204591 0.67 0.500 -11.84167 24.25763 + 1405 | .3942766 5.164959 0.08 0.939 -9.733896 10.52245 + 1406 | 5.079736 5.530189 0.92 0.358 -5.764629 15.9241 + 1407 | 3.564908 5.641079 0.63 0.527 -7.496908 14.62672 + 1408 | -2.773952 5.364529 -0.52 0.605 -13.29347 7.745566 + 1409 | 17.47338 7.303455 2.39 0.017 3.151746 31.79501 + 1410 | .2604485 5.1716 0.05 0.960 -9.880746 10.40164 + 1499 | -4.275001 5.57223 -0.77 0.443 -15.20181 6.651805 + 1500 | 2.906898 7.752784 0.37 0.708 -12.29584 18.10964 + 1501 | .7807624 4.958656 0.16 0.875 -8.942862 10.50439 + 1502 | 3.220785 5.2005 0.62 0.536 -6.977081 13.41865 + 1504 | 7.690872 5.60927 1.37 0.170 -3.308567 18.69031 + 1505 | -.9984478 5.103178 -0.20 0.845 -11.00547 9.008576 + 1507 | -3.85743 5.499796 -0.70 0.483 -14.6422 6.927337 + 1520 | -.2380623 5.210889 -0.05 0.964 -10.4563 9.980176 + 1521 | 1.350276 4.842827 0.28 0.780 -8.146215 10.84677 + 1522 | -2.237487 5.080301 -0.44 0.660 -12.19965 7.724674 + 1523 | 2.029042 4.848524 0.42 0.676 -7.47862 11.5367 + 1524 | 17.73125 13.90316 1.28 0.202 -9.532013 44.99451 + 1525 | 7.624941 5.039602 1.51 0.130 -2.257414 17.5073 + 1526 | -1.588911 5.263734 -0.30 0.763 -11.91077 8.732953 + 1599 | 8.649752 6.818369 1.27 0.205 -4.720658 22.02016 + 1600 | -2.753113 5.066843 -0.54 0.587 -12.68888 7.182659 + 1602 | 12.39638 9.600477 1.29 0.197 -6.429572 31.22234 + 1603 | -12.86327 9.350056 -1.38 0.169 -31.19816 5.471629 + 1604 | -7.954288 5.037156 -1.58 0.114 -17.83185 1.923269 + 1605 | 6.222792 6.025967 1.03 0.302 -5.593765 18.03935 + 1606 | 5.825482 7.006982 0.83 0.406 -7.914786 19.56575 + 1608 | 5.728729 4.974674 1.15 0.250 -4.026306 15.48376 + 1609 | 8.987639 5.668933 1.59 0.113 -2.128795 20.10407 + 1610 | 2.048776 6.072402 0.34 0.736 -9.858838 13.95639 + 1611 | -6.088244 4.962795 -1.23 0.220 -15.81998 3.643496 + 1612 | 4.538564 5.41312 0.84 0.402 -6.076238 15.15337 + 1614 | .6324289 5.678352 0.11 0.911 -10.50248 11.76733 + 1615 | 2.277227 5.347598 0.43 0.670 -8.209088 12.76354 + 1616 | -5.251578 5.028454 -1.04 0.296 -15.11207 4.608916 + 1617 | -5.759852 5.295588 -1.09 0.277 -16.14418 4.624475 + 1619 | .9567847 6.216969 0.15 0.878 -11.23432 13.14789 + 1620 | .3065872 6.39365 0.05 0.962 -12.23097 12.84415 + 1698 | -6.729526 5.400851 -1.25 0.213 -17.32027 3.861216 + 1699 | 28.38838 7.923973 3.58 0.000 12.84995 43.92681 + 1700 | 6.068993 6.342909 0.96 0.339 -6.369069 18.50705 + 1701 | -.2939395 5.32425 -0.06 0.956 -10.73447 10.14659 + 1704 | -.233272 7.121004 -0.03 0.974 -14.19713 13.73059 + 1705 | 2.699728 7.625694 0.35 0.723 -12.2538 17.65325 + 1706 | 1.761446 5.251473 0.34 0.737 -8.536374 12.05927 + 1707 | 4.964477 5.189051 0.96 0.339 -5.210938 15.13989 + 1708 | 4.628157 5.801621 0.80 0.425 -6.74847 16.00478 + 1709 | .6621736 5.313283 0.12 0.901 -9.756854 11.0812 + 1798 | 12.10339 7.653987 1.58 0.114 -2.905616 27.11239 + 1799 | 7.168495 9.214064 0.78 0.437 -10.89973 25.23672 + 1800 | -.5089227 5.622972 -0.09 0.928 -11.53523 10.51738 + 1802 | 1.573824 5.267768 0.30 0.765 -8.755951 11.9036 + 1803 | 2.217928 5.42683 0.41 0.683 -8.423756 12.85961 + 1804 | -2.578558 5.365695 -0.48 0.631 -13.10036 7.943244 + 1806 | 1.751326 5.762081 0.30 0.761 -9.547766 13.05042 + 1807 | -9.605499 4.804652 -2.00 0.046 -19.02713 -.1838681 + 1808 | 14.6251 13.47469 1.09 0.278 -11.79796 41.04815 + 1899 | 31.80655 22.19586 1.43 0.152 -11.71818 75.33129 + 1900 | 1.892978 5.50853 0.34 0.731 -8.908915 12.69487 + 1901 | 14.91505 5.697851 2.62 0.009 3.741909 26.08819 + 1902 | 7.199799 6.314714 1.14 0.254 -5.182973 19.58257 + 1905 | 26.22761 8.006994 3.28 0.001 10.52638 41.92885 + 1906 | 5.412028 5.646626 0.96 0.338 -5.660665 16.48472 + 1907 | 7.051964 8.428835 0.84 0.403 -9.476473 23.5804 + 1908 | 1.878963 7.349919 0.26 0.798 -12.53378 16.29171 + 1909 | -1.194746 7.00332 -0.17 0.865 -14.92783 12.53834 + 1910 | -4.098304 6.154512 -0.67 0.506 -16.16693 7.970323 + 1911 | 18.08806 9.755022 1.85 0.064 -1.040948 37.21707 + 1912 | -.1281713 16.65886 -0.01 0.994 -32.79518 32.53884 + 1914 | 11.26446 6.356779 1.77 0.077 -1.200795 23.72972 + 1915 | -3.334245 5.341222 -0.62 0.533 -13.80806 7.139569 + 1919 | 4.759874 8.593386 0.55 0.580 -12.09124 21.61098 + 1920 | 14.44191 7.481698 1.93 0.054 -.2292473 29.11307 + 1925 | 16.46033 6.324367 2.60 0.009 4.058629 28.86203 + 1926 | 16.86531 7.500221 2.25 0.025 2.157832 31.57279 + 1927 | 1.692342 5.79379 0.29 0.770 -9.66893 13.05361 + 1929 | .8764421 6.057138 0.14 0.885 -11.00124 12.75412 + 1999 | 6.583284 14.49928 0.45 0.650 -21.84893 35.0155 + 2000 | -.6210966 5.127435 -0.12 0.904 -10.67569 9.433493 + 2001 | 2.970364 5.886708 0.50 0.614 -8.573113 14.51384 + 2002 | .8352977 5.371429 0.16 0.876 -9.69775 11.36835 + 2003 | 23.34272 7.608695 3.07 0.002 8.422529 38.26291 + 2004 | 10.03562 5.299516 1.89 0.058 -.3564113 20.42765 + 2005 | -4.782645 5.676344 -0.84 0.400 -15.91361 6.348322 + 2006 | 78.39118 9.189389 8.53 0.000 60.37134 96.41101 + 2007 | -1.369929 5.451141 -0.25 0.802 -12.05929 9.319429 + 2008 | 3.338663 4.829727 0.69 0.489 -6.13214 12.80946 + 2009 | 8.888455 9.755046 0.91 0.362 -10.2406 28.01751 + 2010 | -15.3759 5.079506 -3.03 0.002 -25.33651 -5.4153 + 2011 | -2.261549 5.196367 -0.44 0.663 -12.45131 7.928213 + 2012 | 1.663197 5.365217 0.31 0.757 -8.857669 12.18406 + 2013 | 4.605602 5.379182 0.86 0.392 -5.942648 15.15385 + 2014 | 6.032736 7.735906 0.78 0.436 -9.136908 21.20238 + 2015 | 2.21783 5.632848 0.39 0.694 -8.827844 13.2635 + 2030 | 21.35731 8.732925 2.45 0.015 4.232575 38.48205 + 2099 | 20.32245 9.489009 2.14 0.032 1.715072 38.92982 + 2100 | -.3199364 5.672222 -0.06 0.955 -11.44282 10.80295 + 2101 | 3.904665 4.92048 0.79 0.428 -5.744099 13.55343 + 2102 | 2.339791 5.124639 0.46 0.648 -7.709315 12.3889 + 2103 | 5.480146 4.934683 1.11 0.267 -4.196468 15.15676 + 2104 | -2.017565 4.854881 -0.42 0.678 -11.53769 7.502562 + 2105 | 12.41021 10.06708 1.23 0.218 -7.330728 32.15115 + 2199 | -7.608864 4.925439 -1.54 0.123 -17.26735 2.049624 + 9999 | 28.32248 12.37704 2.29 0.022 4.051855 52.5931 + | + house_administration | 5.01194 2.872963 1.74 0.081 -.6217665 10.64565 + house_agriculture | 1.944179 1.206411 1.61 0.107 -.4215205 4.309879 + house_appropriations | -7.258443 1.74522 -4.16 0.000 -10.68071 -3.836172 + house_armedservices | 3.577666 1.669651 2.14 0.032 .3035814 6.85175 + house_budget | 2.190257 2.615544 0.84 0.402 -2.938667 7.319181 + house_dc | -12.14226 6.203873 -1.96 0.050 -24.30768 .0231645 + house_educlabor | 5.62499 1.61423 3.48 0.001 2.459582 8.790397 + house_energycommerce | 2.812301 .916319 3.07 0.002 1.015455 4.609147 + house_foreignaffairs | 3.758849 1.759449 2.14 0.033 .3086772 7.209021 + house_governmentop | 5.401879 2.485616 2.17 0.030 .5277376 10.27602 + house_intelligence | 9.946934 9.481135 1.05 0.294 -8.644998 28.53887 + house_interior | -3.654713 1.492986 -2.45 0.014 -6.582368 -.7270581 + house_judiciary | 2.89396 1.103173 2.62 0.009 .7307055 5.057215 + house_mmf | -1.278264 1.709544 -0.75 0.455 -4.630576 2.074048 + house_pocs | 2.40043 2.544966 0.94 0.346 -2.590094 7.390953 + house_pwt | -.5023611 1.318696 -0.38 0.703 -3.088243 2.083521 + house_rules | 5.02777 2.202331 2.28 0.023 .7091321 9.346407 + house_sst | 5.098989 2.191905 2.33 0.020 .800795 9.397183 + house_smallbusi | -2.493681 1.475621 -1.69 0.091 -5.387284 .3999214 + house_soc | 2.036762 11.11514 0.18 0.855 -19.75935 23.83288 + house_veterans | 3.583772 2.811551 1.27 0.203 -1.92951 9.097054 + house_waysandmeans | 4.20778 .9135992 4.61 0.000 2.416268 5.999293 +house_naturalresources | -3.210029 1.33549 -2.40 0.016 -5.828845 -.5912135 + house_bfs | 2.335534 1.25268 1.86 0.062 -.120895 4.791963 + house_eeo | 3.983934 3.013178 1.32 0.186 -1.924725 9.892594 + house_govreform | 7.610244 1.738004 4.38 0.000 4.202123 11.01837 + house_ir | 1.993893 1.790441 1.11 0.266 -1.517054 5.504839 + house_natsecur | 6.779521 2.947719 2.30 0.022 .9992213 12.55982 + house_oversight | -2.407346 2.022434 -1.19 0.234 -6.373216 1.558524 + house_resources | -.0175567 1.401387 -0.01 0.990 -2.765591 2.730478 + house_science | -3.289867 1.378451 -2.39 0.017 -5.992926 -.5868082 + house_transp | -.5181368 .9680428 -0.54 0.593 -2.41641 1.380137 + house_homeland | -.5276699 1.720443 -0.31 0.759 -3.901355 2.846015 + sponsor_democrat | 0 (omitted) + sponsor_rookie | -3.936711 .975938 -4.03 0.000 -5.850467 -2.022956 + sponsor_tenure_run | .146533 .102827 1.43 0.154 -.0551046 .3481705 + sponsor_age | -.0377844 .0338893 -1.11 0.265 -.1042393 .0286705 + leader | 1.810967 .9854146 1.84 0.066 -.1213713 3.743306 + ivycoll | -2.238336 .7317597 -3.06 0.002 -3.673273 -.8033995 + black | -1.610839 1.421054 -1.13 0.257 -4.397439 1.175762 + occ0 | 1.816277 .9550345 1.90 0.057 -.0564882 3.689042 + occ1 | 1.641853 1.019021 1.61 0.107 -.3563851 3.640091 + occ2 | -.9458423 .7921408 -1.19 0.233 -2.499182 .6074979 + occ3 | -2.520523 1.133783 -2.22 0.026 -4.743802 -.2972427 + occ4 | -2.614812 1.086662 -2.41 0.016 -4.74569 -.483934 + borninstate | 1.578824 .5673597 2.78 0.005 .4662661 2.691382 + tot_bills | -.1788202 .0183283 -9.76 0.000 -.2147609 -.1428796 + NE | -.8706602 .936799 -0.93 0.353 -2.707666 .9663459 + MW | -.4972384 .8820549 -0.56 0.573 -2.226895 1.232418 + WE | 1.511449 .9508453 1.59 0.112 -.3531013 3.375999 + pct_black | 5.65026 3.246597 1.74 0.082 -.7161198 12.01664 + pct_urban | 3.136002 1.934588 1.62 0.105 -.6576071 6.929612 + pct_for_born | -1.958833 4.156523 -0.47 0.637 -10.10952 6.191857 + pct_age_over65 | 22.41038 9.384982 2.39 0.017 4.006996 40.81376 + lninc | 6.62465 1.657396 4.00 0.000 3.374597 9.874702 + lnpden | -.1418069 .2952993 -0.48 0.631 -.7208709 .4372572 + _cons | -56.58613 16.75125 -3.38 0.001 -89.43432 -23.73793 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,665 1 0 1 1 + + +j = 1 k = 3 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 13.03771 22.75762 .5728944 +---------------------------------------------- +reg numb_cosponsors sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 +> borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if sponsor_party==200 & tag_bill==1 & women_friend1==0, robust cluster +> (group_sponsor) +note: sponsor_democrat omitted because of collinearity + +Linear regression Number of obs = 19,379 + F(219, 2203) = 12.40 + Prob > F = 0.0000 + R-squared = 0.1160 + Root MSE = 31.95 + + (Std. Err. adjusted for 2,204 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 2.552033 1.079216 2.36 0.018 .4356453 4.668421 + | + v2 | + 102 | -.9894862 1.585655 -0.62 0.533 -4.099022 2.120049 + 103 | -2.241956 2.018909 -1.11 0.267 -6.20112 1.717208 + 104 | -.7098079 2.101353 -0.34 0.736 -4.830648 3.411033 + 105 | .339261 2.110265 0.16 0.872 -3.799056 4.477578 + 106 | .9251452 2.153331 0.43 0.668 -3.297626 5.147916 + 107 | .0939553 2.019669 0.05 0.963 -3.8667 4.054611 + 108 | 4.17903 4.197203 1.00 0.320 -4.05186 12.40992 + 109 | 5.057949 4.08319 1.24 0.216 -2.949356 13.06525 + 110 | 2.303656 4.060096 0.57 0.571 -5.65836 10.26567 + 111 | 1.064385 4.161921 0.26 0.798 -7.097315 9.226085 + | + minor | + 101 | -4.866425 4.42363 -1.10 0.271 -13.54135 3.808496 + 103 | 6.872659 10.25445 0.67 0.503 -13.23674 26.98206 + 104 | 2.685424 4.679284 0.57 0.566 -6.490845 11.86169 + 105 | 9.50951 6.053564 1.57 0.116 -2.36178 21.3808 + 107 | 10.75936 3.604828 2.98 0.003 3.690139 17.82857 + 108 | -.0687468 4.754191 -0.01 0.988 -9.391913 9.254419 + 110 | 10.28115 16.31307 0.63 0.529 -21.70946 42.27176 + 400 | 1.089691 5.164941 0.21 0.833 -9.038973 11.21835 + 401 | 1.833375 4.095813 0.45 0.654 -6.198684 9.865434 + 402 | 4.365624 3.92391 1.11 0.266 -3.329326 12.06057 + 403 | 18.86815 7.804991 2.42 0.016 3.562242 34.17406 + 404 | 12.26896 7.320071 1.68 0.094 -2.086 26.62392 + 405 | 17.79947 9.611801 1.85 0.064 -1.049673 36.64861 + 498 | 7.728634 7.920997 0.98 0.329 -7.804769 23.26204 + 499 | 20.37842 11.93054 1.71 0.088 -3.017855 43.7747 + 700 | 1.322096 4.035896 0.33 0.743 -6.592464 9.236655 + 701 | 3.794739 4.217423 0.90 0.368 -4.475802 12.06528 + 703 | 2.565584 3.960387 0.65 0.517 -5.200899 10.33207 + 704 | 4.016102 4.201291 0.96 0.339 -4.222803 12.25501 + 705 | 4.459967 4.087607 1.09 0.275 -3.555999 12.47593 + 707 | 11.89197 7.545935 1.58 0.115 -2.905916 26.68986 + 708 | 15.60032 11.05037 1.41 0.158 -6.069914 37.27055 + 709 | 8.081965 3.794138 2.13 0.033 .6415033 15.52243 + 710 | 3.003404 3.746538 0.80 0.423 -4.343712 10.35052 + 711 | 2.71032 3.821808 0.71 0.478 -4.784404 10.20504 + 798 | 7.353897 6.783781 1.08 0.278 -5.949378 20.65717 + 799 | 2.897434 4.36721 0.66 0.507 -5.666845 11.46171 + 800 | -3.280889 3.843657 -0.85 0.393 -10.81846 4.256682 + 801 | -3.028444 4.744404 -0.64 0.523 -12.33242 6.27553 + 802 | -2.611788 3.825502 -0.68 0.495 -10.11375 4.890179 + 803 | 6.023017 3.85349 1.56 0.118 -1.533837 13.57987 + 805 | -2.413334 3.842135 -0.63 0.530 -9.94792 5.121251 + 806 | 6.333327 4.199057 1.51 0.132 -1.901197 14.56785 + 807 | 2.662013 4.241056 0.63 0.530 -5.654874 10.9789 + 898 | -4.577734 4.015073 -1.14 0.254 -12.45146 3.295991 + 899 | -2.86054 4.4628 -0.64 0.522 -11.61227 5.891195 + 1000 | 1.766282 5.960072 0.30 0.767 -9.921666 13.45423 + 1001 | 1.768682 4.080253 0.43 0.665 -6.232863 9.770226 + 1002 | 4.884246 4.28666 1.14 0.255 -3.522071 13.29056 + 1003 | 4.723539 3.961979 1.19 0.233 -3.046066 12.49314 + 1005 | 6.80285 5.457501 1.25 0.213 -3.899536 17.50524 + 1006 | 11.42035 4.745989 2.41 0.016 2.113268 20.72743 + 1007 | .3639686 3.875132 0.09 0.925 -7.235327 7.963264 + 1010 | 1.756584 5.585857 0.31 0.753 -9.197512 12.71068 + 1098 | -8.413863 4.091404 -2.06 0.040 -16.43728 -.3904508 + 1099 | -.0534647 6.476777 -0.01 0.993 -12.75469 12.64776 + 1400 | 6.779738 5.516703 1.23 0.219 -4.038745 17.59822 + 1401 | 12.32828 6.220467 1.98 0.048 .1296832 24.52687 + 1403 | 2.874436 7.76929 0.37 0.711 -12.36146 18.11034 + 1404 | -.5494338 4.911077 -0.11 0.911 -10.18026 9.081391 + 1405 | -.097759 3.947731 -0.02 0.980 -7.839424 7.643906 + 1406 | 7.555984 6.308921 1.20 0.231 -4.816072 19.92804 + 1407 | .4609866 4.604836 0.10 0.920 -8.569288 9.491261 + 1408 | 8.641924 7.985026 1.08 0.279 -7.017043 24.30089 + 1409 | 10.47166 5.922992 1.77 0.077 -1.143573 22.08689 + 1410 | 10.45851 5.593553 1.87 0.062 -.5106795 21.4277 + 1499 | 1.814528 5.736732 0.32 0.752 -9.43544 13.0645 + 1500 | 6.615895 7.048437 0.94 0.348 -7.206383 20.43817 + 1501 | 8.21656 4.465196 1.84 0.066 -.5398735 16.97299 + 1502 | 2.638767 4.322162 0.61 0.542 -5.837171 11.1147 + 1504 | 12.13356 6.057453 2.00 0.045 .2546416 24.01247 + 1505 | 8.23661 4.468384 1.84 0.065 -.5260771 16.9993 + 1507 | 6.814916 5.143965 1.32 0.185 -3.272612 16.90244 + 1520 | 7.002579 5.723477 1.22 0.221 -4.221397 18.22655 + 1521 | 6.365683 3.8061 1.67 0.095 -1.098237 13.8296 + 1522 | 2.794284 4.70582 0.59 0.553 -6.434024 12.02259 + 1523 | 2.252884 3.733588 0.60 0.546 -5.068838 9.574605 + 1524 | 31.84431 19.15352 1.66 0.097 -5.716535 69.40516 + 1525 | 8.31583 4.833462 1.72 0.085 -1.162789 17.79445 + 1526 | 12.76377 5.897296 2.16 0.031 1.198924 24.32861 + 1599 | 16.1636 7.593791 2.13 0.033 1.271858 31.05534 + 1600 | -7.383848 4.299386 -1.72 0.086 -15.81512 1.047427 + 1602 | 16.84807 11.12224 1.51 0.130 -4.963116 38.65925 + 1603 | -4.891273 6.118395 -0.80 0.424 -16.8897 7.107153 + 1604 | 10.84805 8.77823 1.24 0.217 -6.36642 28.06252 + 1605 | 8.697883 7.2962 1.19 0.233 -5.610269 23.00603 + 1606 | -1.645394 6.91416 -0.24 0.812 -15.20435 11.91356 + 1608 | 19.56638 4.644106 4.21 0.000 10.4591 28.67366 + 1609 | 14.50575 4.575786 3.17 0.002 5.532442 23.47905 + 1610 | 7.165869 9.274646 0.77 0.440 -11.0221 25.35383 + 1611 | -1.258066 4.829173 -0.26 0.794 -10.72827 8.212143 + 1612 | 7.331208 4.993673 1.47 0.142 -2.461592 17.12401 + 1614 | -5.028967 4.656731 -1.08 0.280 -14.16101 4.103076 + 1615 | .4229172 4.308698 0.10 0.922 -8.026618 8.872452 + 1616 | -6.115229 3.669153 -1.67 0.096 -13.31059 1.080132 + 1617 | 4.385766 6.700285 0.65 0.513 -8.753769 17.5253 + 1619 | 9.268017 7.224946 1.28 0.200 -4.900401 23.43644 + 1620 | -4.71829 3.761649 -1.25 0.210 -12.09504 2.65846 + 1698 | -9.389773 4.50119 -2.09 0.037 -18.21679 -.5627543 + 1699 | 12.38971 6.894375 1.80 0.072 -1.130445 25.90986 + 1700 | 5.822414 7.302958 0.80 0.425 -8.498989 20.14382 + 1701 | -.9969471 4.245588 -0.23 0.814 -9.322721 7.328827 + 1704 | .6716312 4.309561 0.16 0.876 -7.779597 9.122859 + 1705 | -9.085979 4.829885 -1.88 0.060 -18.55758 .3856251 + 1706 | 11.50542 4.90063 2.35 0.019 1.895078 21.11575 + 1707 | 18.07979 5.674076 3.19 0.001 6.952688 29.20688 + 1708 | -.7566469 3.782901 -0.20 0.841 -8.175073 6.661779 + 1709 | 14.67215 5.338256 2.75 0.006 4.203612 25.1407 + 1798 | 8.5924 5.605474 1.53 0.125 -2.400167 19.58497 + 1799 | -3.51736 3.948694 -0.89 0.373 -11.26091 4.226193 + 1800 | -3.777957 4.172874 -0.91 0.365 -11.96114 4.405222 + 1802 | -.5830868 3.800652 -0.15 0.878 -8.036323 6.870149 + 1803 | 2.047425 5.378908 0.38 0.704 -8.500837 12.59569 + 1804 | -.9838965 4.357389 -0.23 0.821 -9.528916 7.561123 + 1806 | -1.463487 3.705342 -0.39 0.693 -8.729816 5.802842 + 1807 | -8.498012 3.448411 -2.46 0.014 -15.26049 -1.735536 + 1808 | 6.80743 11.66846 0.58 0.560 -16.07491 29.68977 + 1899 | 3.444577 13.13603 0.26 0.793 -22.31571 29.20487 + 1900 | -5.119635 4.741764 -1.08 0.280 -14.41843 4.179162 + 1901 | .6276101 4.152899 0.15 0.880 -7.516397 8.771617 + 1902 | 11.94259 6.658229 1.79 0.073 -1.114473 24.99965 + 1905 | 13.07128 9.706012 1.35 0.178 -5.962608 32.10518 + 1906 | 2.202135 4.780364 0.46 0.645 -7.172356 11.57663 + 1907 | -1.399191 4.149504 -0.34 0.736 -9.536541 6.738159 + 1908 | .2743305 7.902322 0.03 0.972 -15.22245 15.77111 + 1909 | -.6206181 4.928956 -0.13 0.900 -10.28651 9.045269 + 1910 | 12.37553 8.147073 1.52 0.129 -3.601219 28.35228 + 1911 | -.1574766 5.491706 -0.03 0.977 -10.92694 10.61199 + 1912 | -6.86999 3.8142 -1.80 0.072 -14.34979 .6098144 + 1914 | 4.698348 5.264022 0.89 0.372 -5.624617 15.02131 + 1915 | -9.30529 4.27788 -2.18 0.030 -17.69439 -.9161902 + 1919 | -.4888302 4.14777 -0.12 0.906 -8.622779 7.645118 + 1920 | 26.56024 8.390304 3.17 0.002 10.10651 43.01398 + 1925 | 14.49243 5.551579 2.61 0.009 3.605558 25.37931 + 1926 | 5.611513 4.49933 1.25 0.212 -3.21186 14.43489 + 1927 | 2.845431 4.342608 0.66 0.512 -5.670603 11.36146 + 1929 | 9.098769 5.821042 1.56 0.118 -2.316536 20.51407 + 1999 | -6.219073 5.307604 -1.17 0.241 -16.6275 4.189357 + 2000 | -3.806367 4.147626 -0.92 0.359 -11.94003 4.327299 + 2001 | 4.394646 4.14311 1.06 0.289 -3.730165 12.51946 + 2002 | 6.689564 3.985318 1.68 0.093 -1.12581 14.50494 + 2003 | 16.12596 6.170829 2.61 0.009 4.024705 28.22721 + 2004 | 3.781384 3.8062 0.99 0.321 -3.682731 11.2455 + 2005 | 9.539041 10.2828 0.93 0.354 -10.62596 29.70404 + 2006 | 80.01981 8.998988 8.89 0.000 62.37243 97.6672 + 2007 | 7.953058 5.482296 1.45 0.147 -2.797952 18.70407 + 2008 | 6.522955 3.652332 1.79 0.074 -.6394188 13.68533 + 2009 | 2.411122 5.263329 0.46 0.647 -7.910484 12.73273 + 2011 | 4.10595 3.652524 1.12 0.261 -3.056801 11.2687 + 2012 | .82333 3.900672 0.21 0.833 -6.826049 8.472709 + 2013 | .6018391 4.636464 0.13 0.897 -8.49046 9.694138 + 2014 | 1.290032 4.452294 0.29 0.772 -7.4411 10.02116 + 2015 | .1553153 5.228193 0.03 0.976 -10.09739 10.40802 + 2030 | 21.87455 10.17088 2.15 0.032 1.929039 41.82007 + 2099 | 12.69184 8.898138 1.43 0.154 -4.757773 30.14146 + 2100 | -1.033338 4.426691 -0.23 0.815 -9.714263 7.647587 + 2101 | 3.532465 3.607417 0.98 0.328 -3.541829 10.60676 + 2102 | -1.875884 3.483113 -0.54 0.590 -8.706411 4.954644 + 2103 | -1.352055 3.485417 -0.39 0.698 -8.187103 5.482993 + 2104 | -3.221676 3.469105 -0.93 0.353 -10.02473 3.581383 + 2105 | 9.893977 7.903916 1.25 0.211 -5.605929 25.39388 + 2199 | -.6241598 4.834942 -0.13 0.897 -10.10568 8.857361 + 9999 | 30.86617 14.815 2.08 0.037 1.813341 59.91901 + | + house_administration | .9825851 1.842257 0.53 0.594 -2.630158 4.595328 + house_agriculture | 4.06365 1.446687 2.81 0.005 1.226638 6.900662 + house_appropriations | 7.413955 4.320977 1.72 0.086 -1.059661 15.88757 + house_armedservices | 5.254047 2.01039 2.61 0.009 1.311589 9.196504 + house_budget | 9.783836 3.809355 2.57 0.010 2.313533 17.25414 + house_dc | 1.044911 3.568739 0.29 0.770 -5.953534 8.043356 + house_educlabor | -.678542 1.843388 -0.37 0.713 -4.293502 2.936418 + house_energycommerce | 3.41208 1.137023 3.00 0.003 1.18233 5.64183 + house_foreignaffairs | 3.023639 1.683658 1.80 0.073 -.2780833 6.325361 + house_governmentop | 6.752601 2.877869 2.35 0.019 1.108982 12.39622 + house_intelligence | 6.964399 7.224234 0.96 0.335 -7.202623 21.13142 + house_interior | -.5166895 1.395696 -0.37 0.711 -3.253708 2.220328 + house_judiciary | 2.944575 1.113794 2.64 0.008 .7603787 5.128771 + house_mmf | 1.409707 1.851931 0.76 0.447 -2.222007 5.041421 + house_pocs | 4.586933 2.748073 1.67 0.095 -.8021514 9.976018 + house_pwt | 1.795514 1.64267 1.09 0.274 -1.42583 5.016859 + house_rules | 4.866022 1.923741 2.53 0.011 1.093486 8.638557 + house_sst | 6.276837 4.96606 1.26 0.206 -3.461812 16.01549 + house_smallbusi | -3.999931 1.993222 -2.01 0.045 -7.908722 -.0911401 + house_soc | -11.21543 4.008946 -2.80 0.005 -19.07714 -3.353717 + house_veterans | 3.349439 2.918083 1.15 0.251 -2.373042 9.07192 + house_waysandmeans | 4.418505 .9928749 4.45 0.000 2.471436 6.365574 +house_naturalresources | 1.856658 1.253126 1.48 0.139 -.6007738 4.31409 + house_bfs | 2.274141 1.528946 1.49 0.137 -.7241852 5.272467 + house_eeo | -2.840798 8.179711 -0.35 0.728 -18.88155 13.19995 + house_govreform | 1.428707 1.443198 0.99 0.322 -1.401463 4.258877 + house_ir | 8.129943 1.978691 4.11 0.000 4.249649 12.01024 + house_natsecur | 6.243389 3.825948 1.63 0.103 -1.259454 13.74623 + house_oversight | 4.154729 1.786935 2.33 0.020 .6504746 7.658983 + house_resources | -.908866 1.022436 -0.89 0.374 -2.913905 1.096173 + house_science | .4356437 1.808167 0.24 0.810 -3.110247 3.981534 + house_transp | 2.685967 1.021769 2.63 0.009 .6822358 4.689698 + house_homeland | 1.276452 2.472538 0.52 0.606 -3.572297 6.125201 + sponsor_democrat | 0 (omitted) + sponsor_rookie | -3.037966 .7355766 -4.13 0.000 -4.480462 -1.59547 + sponsor_tenure_run | -.0755347 .1388194 -0.54 0.586 -.3477653 .1966958 + sponsor_age | -.0099718 .0371203 -0.27 0.788 -.0827662 .0628226 + leader | -.6980344 .8251831 -0.85 0.398 -2.316253 .9201838 + ivycoll | .3701197 1.121447 0.33 0.741 -1.829085 2.569325 + black | -2.430078 5.666205 -0.43 0.668 -13.54174 8.681584 + occ0 | 4.051957 1.00198 4.04 0.000 2.087033 6.016882 + occ1 | 2.317512 1.169353 1.98 0.048 .0243613 4.610662 + occ2 | 2.296658 .8678455 2.65 0.008 .5947772 3.998539 + occ3 | -.6909021 1.270802 -0.54 0.587 -3.182998 1.801194 + occ4 | 3.202288 .8588015 3.73 0.000 1.518143 4.886433 + borninstate | .818563 .6067962 1.35 0.177 -.3713895 2.008516 + tot_bills | -.0354015 .0444442 -0.80 0.426 -.1225585 .0517555 + NE | -2.879441 .9796642 -2.94 0.003 -4.800603 -.9582791 + MW | -1.70968 .9210133 -1.86 0.064 -3.515825 .0964649 + WE | -1.136446 1.031561 -1.10 0.271 -3.159379 .886487 + pct_black | -8.868641 3.92433 -2.26 0.024 -16.56441 -1.172867 + pct_urban | -.5030466 1.994307 -0.25 0.801 -4.413965 3.407872 + pct_for_born | 3.659354 7.047423 0.52 0.604 -10.16093 17.47964 + pct_age_over65 | 10.99488 8.038045 1.37 0.171 -4.768054 26.75782 + lninc | 3.380326 2.36564 1.43 0.153 -1.258791 8.019443 + lnpden | .2590601 .2452681 1.06 0.291 -.2219208 .7400409 + _cons | -30.76757 23.65887 -1.30 0.194 -77.16359 15.62846 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,576 1 0 1 1 + + +j = 2 k = 1 + + +rdbwselect_2014 numb_cosponsors MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11990 +----------------------+---------------------- NN matches = 3 + Number of obs | 6151 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 25.22792 46.13311 .5468506 +---------------------------------------------- +reg numb_cosponsors sponsor_female i.v2 MV1_female femaleXMV1_female if tag_bill==1 & sample==1 & abs(MV1_female)<=25.22792045028557 & women_friend1==0, robust clus +> ter(group_sponsor) + +Linear regression Number of obs = 3,308 + F(13, 392) = 1.40 + Prob > F = 0.1540 + R-squared = 0.0053 + Root MSE = 30.343 + + (Std. Err. adjusted for 393 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -1.36904 2.252453 -0.61 0.544 -5.797439 3.059359 + | + v2 | + 102 | -.6697144 2.420952 -0.28 0.782 -5.429388 4.089959 + 103 | -1.432564 2.582884 -0.55 0.579 -6.510602 3.645473 + 104 | 2.244717 2.753106 0.82 0.415 -3.167983 7.657416 + 105 | .5738106 2.860535 0.20 0.841 -5.050098 6.19772 + 106 | .9361597 2.89971 0.32 0.747 -4.764769 6.637088 + 107 | 2.762801 2.735375 1.01 0.313 -2.61504 8.140642 + 108 | 1.735355 2.922292 0.59 0.553 -4.009971 7.48068 + 109 | -3.296307 2.389086 -1.38 0.168 -7.993332 1.400718 + 110 | .1616809 3.018837 0.05 0.957 -5.773456 6.096818 + 111 | -1.057892 2.937542 -0.36 0.719 -6.8332 4.717416 + | + MV1_female | .0561957 .1103791 0.51 0.611 -.1608134 .2732047 +femaleXMV1_female | .1608696 .171638 0.94 0.349 -.1765766 .4983158 + _cons | 13.1334 2.750235 4.78 0.000 7.726339 18.54045 +----------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 278 1 0 1 1 + + +j = 2 k = 2 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6187 +----------------------+---------------------- NN matches = 3 + Number of obs | 2193 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 29.70309 50.99673 .5824509 +---------------------------------------------- +reg numb_cosponsors sponsor_female i.v2 MV1_female femaleXMV1_female if sponsor_party==100 & tag_bill==1 & sample==1 & abs(MV1_female)<=29.70309229792213 & women_fr +> iend1==0, robust cluster(group_sponsor) + +Linear regression Number of obs = 1,458 + F(13, 185) = 0.94 + Prob > F = 0.5089 + R-squared = 0.0125 + Root MSE = 27.462 + + (Std. Err. adjusted for 186 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | 1.1131 3.407404 0.33 0.744 -5.609265 7.835465 + | + v2 | + 102 | -.7821496 3.198803 -0.24 0.807 -7.092971 5.528672 + 103 | -1.464519 3.117926 -0.47 0.639 -7.615782 4.686744 + 104 | 1.476029 3.538996 0.42 0.677 -5.505949 8.458008 + 105 | 6.700962 5.333265 1.26 0.211 -3.820876 17.2228 + 106 | 2.872583 5.848465 0.49 0.624 -8.665679 14.41084 + 107 | -1.584333 3.739702 -0.42 0.672 -8.962278 5.793612 + 108 | 2.370088 3.840797 0.62 0.538 -5.207304 9.947481 + 109 | -2.986905 4.030659 -0.74 0.460 -10.93887 4.96506 + 110 | .9032756 3.446957 0.26 0.794 -5.897123 7.703674 + 111 | -2.97715 3.248149 -0.92 0.361 -9.385326 3.431027 + | + MV1_female | .0159479 .1449405 0.11 0.913 -.2700008 .3018966 +femaleXMV1_female | .1006642 .2080843 0.48 0.629 -.3098591 .5111875 + _cons | 12.02847 3.928651 3.06 0.003 4.277753 19.77919 +----------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 121 1 0 1 1 + + +j = 2 k = 3 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 13.03771 22.75762 .5728944 +---------------------------------------------- +reg numb_cosponsors sponsor_female i.v2 MV1_female femaleXMV1_female if sponsor_party==200 & tag_bill==1 & sample==1 & abs(MV1_female)<=13.03771312568893 & women_fr +> iend1==0, robust cluster(group_sponsor) + +Linear regression Number of obs = 839 + F(13, 98) = 1.47 + Prob > F = 0.1412 + R-squared = 0.0234 + Root MSE = 31.042 + + (Std. Err. adjusted for 99 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -.5364741 4.231925 -0.13 0.899 -8.934591 7.861643 + | + v2 | + 102 | .7300924 2.906371 0.25 0.802 -5.037506 6.497691 + 103 | -1.917408 2.642174 -0.73 0.470 -7.160716 3.325901 + 104 | 4.615732 3.338901 1.38 0.170 -2.010208 11.24167 + 105 | 3.206917 3.504186 0.92 0.362 -3.747026 10.16086 + 106 | 4.624867 3.220413 1.44 0.154 -1.765937 11.01567 + 107 | 6.820981 3.9957 1.71 0.091 -1.108355 14.75032 + 108 | 23.04889 8.792613 2.62 0.010 5.600232 40.49754 + 109 | 2.640668 2.712483 0.97 0.333 -2.742166 8.023502 + 110 | -1.282134 3.682437 -0.35 0.728 -8.58981 6.025543 + 111 | -2.364929 4.326194 -0.55 0.586 -10.95012 6.220263 + | + MV1_female | .1809038 .330528 0.55 0.585 -.4750183 .8368258 +femaleXMV1_female | -.6178816 .6674175 -0.93 0.357 -1.94235 .7065866 + _cons | 11.69809 2.794859 4.19 0.000 6.151782 17.2444 +----------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 68 1 0 1 1 + + +j = 3 k = 1 + + +rdbwselect_2014 numb_cosponsors MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11990 +----------------------+---------------------- NN matches = 3 + Number of obs | 6151 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 25.22792 46.13311 .5468506 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(54,840 missing values generated) +(59,051 missing values generated) +(4,211 real changes made) +reg numb_cosponsors sponsor_female i.v2 MV1_female femaleXMV1_female i.minor house_* [aw=wt] if tag_bill==1 & sample==1 & women_friend1==0 & abs(MV1_female)<=25.227 +> 92045028557, robust cluster(group_sponsor) +(sum of wgt is 6,549.82341051102) + +Linear regression Number of obs = 3,308 + F(183, 392) = . + Prob > F = . + R-squared = 0.1605 + Root MSE = 28.801 + + (Std. Err. adjusted for 393 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -.3789447 2.198008 -0.17 0.863 -4.700303 3.942413 + | + v2 | + 102 | -2.130884 2.988911 -0.71 0.476 -8.007185 3.745416 + 103 | -2.738718 3.333389 -0.82 0.412 -9.292273 3.814838 + 104 | 1.670618 3.769081 0.44 0.658 -5.739523 9.080759 + 105 | -.0449549 3.82806 -0.01 0.991 -7.571052 7.481142 + 106 | .2959296 3.806363 0.08 0.938 -7.18751 7.779369 + 107 | 1.483167 3.663894 0.40 0.686 -5.720173 8.686508 + 108 | -.0480642 3.638941 -0.01 0.989 -7.202347 7.106219 + 109 | -3.278473 3.322557 -0.99 0.324 -9.810732 3.253787 + 110 | -1.803673 3.846342 -0.47 0.639 -9.365714 5.758367 + 111 | -3.988391 3.663835 -1.09 0.277 -11.19162 3.214834 + | + MV1_female | -.0254032 .0990294 -0.26 0.798 -.2200984 .169292 + femaleXMV1_female | .1476202 .1618117 0.91 0.362 -.1705071 .4657475 + | + minor | + 101 | 8.430804 12.5149 0.67 0.501 -16.17391 33.03552 + 103 | 1.405605 7.659079 0.18 0.854 -13.65241 16.46362 + 104 | -1.141434 8.240004 -0.14 0.890 -17.34156 15.0587 + 105 | -.8578466 7.876436 -0.11 0.913 -16.34319 14.6275 + 107 | 4.386253 7.210779 0.61 0.543 -9.790385 18.56289 + 108 | 9.798202 14.86022 0.66 0.510 -19.41749 39.0139 + 400 | -1.573115 8.73265 -0.18 0.857 -18.7418 15.59557 + 401 | -2.409939 11.09732 -0.22 0.828 -24.22764 19.40776 + 402 | -7.752622 7.893101 -0.98 0.327 -23.27073 7.765483 + 403 | .2783789 10.08599 0.03 0.978 -19.55102 20.10778 + 404 | 7.374111 12.86118 0.57 0.567 -17.91141 32.65963 + 405 | -.8022396 8.713134 -0.09 0.927 -17.93256 16.32808 + 498 | -10.28404 8.294696 -1.24 0.216 -26.59169 6.023619 + 499 | 36.31211 41.1531 0.88 0.378 -44.5963 117.2205 + 700 | 2.12023 8.91257 0.24 0.812 -15.40219 19.64265 + 701 | -2.479497 8.194625 -0.30 0.762 -18.59041 13.63142 + 703 | -2.774295 8.127163 -0.34 0.733 -18.75257 13.20399 + 704 | -7.509965 7.621792 -0.99 0.325 -22.49467 7.474738 + 705 | -2.735311 8.05772 -0.34 0.734 -18.57706 13.10644 + 707 | 41.56553 29.04882 1.43 0.153 -15.54545 98.6765 + 708 | -8.836072 8.254623 -1.07 0.285 -25.06494 7.392799 + 709 | 12.90007 8.659534 1.49 0.137 -4.124873 29.92501 + 710 | 5.830381 8.240724 0.71 0.480 -10.37116 22.03193 + 711 | -3.08828 7.221354 -0.43 0.669 -17.28571 11.10915 + 798 | -3.083076 7.660341 -0.40 0.688 -18.14357 11.97742 + 799 | 3.685982 8.576869 0.43 0.668 -13.17643 20.5484 + 800 | 4.575975 9.913242 0.46 0.645 -14.9138 24.06575 + 801 | -1.348411 7.625792 -0.18 0.860 -16.34098 13.64416 + 802 | -5.022106 7.728116 -0.65 0.516 -20.21585 10.17163 + 803 | 5.164412 8.074984 0.64 0.523 -10.71128 21.04011 + 805 | -5.013054 7.570921 -0.66 0.508 -19.89774 9.871635 + 806 | 1.374552 8.100123 0.17 0.865 -14.55057 17.29967 + 807 | .9928591 7.505816 0.13 0.895 -13.76383 15.74955 + 898 | 11.68276 14.12313 0.83 0.409 -16.08379 39.44931 + 899 | 40.10851 8.125419 4.94 0.000 24.13366 56.08337 + 1000 | -6.812936 7.70077 -0.88 0.377 -21.95291 8.327041 + 1001 | 3.21359 9.37633 0.34 0.732 -15.2206 21.64778 + 1002 | -1.814323 7.711441 -0.24 0.814 -16.97528 13.34663 + 1003 | 1.635907 7.78055 0.21 0.834 -13.66092 16.93273 + 1005 | -2.091825 8.40265 -0.25 0.804 -18.61172 14.42807 + 1006 | 11.0367 11.65004 0.95 0.344 -11.86767 33.94106 + 1007 | 8.223977 9.047178 0.91 0.364 -9.563085 26.01104 + 1010 | -4.464376 7.721578 -0.58 0.563 -19.64526 10.71651 + 1098 | -8.681173 8.647611 -1.00 0.316 -25.68267 8.320325 + 1099 | -10.8893 7.910611 -1.38 0.169 -26.44183 4.663227 + 1400 | -4.325596 8.047441 -0.54 0.591 -20.14714 11.49595 + 1401 | 5.410604 11.11424 0.49 0.627 -16.44038 27.26159 + 1403 | 11.63315 8.914119 1.31 0.193 -5.892309 29.15861 + 1404 | -1.310143 7.296753 -0.18 0.858 -15.65581 13.03552 + 1405 | 4.05882 7.696568 0.53 0.598 -11.0729 19.19054 + 1406 | -5.888589 7.538198 -0.78 0.435 -20.70894 8.931764 + 1407 | 11.92983 8.744109 1.36 0.173 -5.261391 29.12104 + 1408 | 8.627017 13.09656 0.66 0.510 -17.12127 34.3753 + 1409 | 32.11804 18.93636 1.70 0.091 -5.111496 69.34757 + 1410 | 4.302961 9.986652 0.43 0.667 -15.33114 23.93706 + 1499 | -7.815752 7.836423 -1.00 0.319 -23.22243 7.590924 + 1500 | 19.50936 26.84614 0.73 0.468 -33.27107 72.28979 + 1501 | 2.365863 8.538472 0.28 0.782 -14.42106 19.15279 + 1502 | 9.47026 10.37749 0.91 0.362 -10.93224 29.87276 + 1504 | 7.659748 9.504214 0.81 0.421 -11.02586 26.34536 + 1505 | .4298841 7.812189 0.06 0.956 -14.92915 15.78891 + 1507 | 12.51616 19.70796 0.64 0.526 -26.23036 51.26268 + 1520 | 9.740167 18.08542 0.54 0.590 -25.81639 45.29673 + 1521 | -1.124491 7.483772 -0.15 0.881 -15.83784 13.58886 + 1522 | -8.89675 8.069105 -1.10 0.271 -24.76089 6.967385 + 1523 | .3131626 7.428758 0.04 0.966 -14.29203 14.91835 + 1524 | 15.44323 20.90596 0.74 0.461 -25.6586 56.54506 + 1525 | 7.155907 8.898282 0.80 0.422 -10.33842 24.65023 + 1526 | 23.96705 25.779 0.93 0.353 -26.71535 74.64945 + 1599 | -3.697126 7.385196 -0.50 0.617 -18.21667 10.82242 + 1600 | .116997 8.53423 0.01 0.989 -16.66159 16.89559 + 1602 | -9.230944 9.143079 -1.01 0.313 -27.20655 8.744661 + 1603 | -11.01275 21.57776 -0.51 0.610 -53.43536 31.40986 + 1604 | 8.016805 7.774506 1.03 0.303 -7.268139 23.30175 + 1605 | 5.456937 8.00362 0.68 0.496 -10.27845 21.19233 + 1606 | 21.58556 14.09148 1.53 0.126 -6.118778 49.2899 + 1608 | 12.32854 8.066249 1.53 0.127 -3.529983 28.18706 + 1609 | 17.40161 8.566318 2.03 0.043 .5599387 34.24329 + 1610 | 11.02063 8.839894 1.25 0.213 -6.358902 28.40016 + 1611 | -4.699636 7.645546 -0.61 0.539 -19.73104 10.33177 + 1612 | 8.742777 8.889676 0.98 0.326 -8.734629 26.22018 + 1614 | -4.87385 9.91879 -0.49 0.623 -24.37453 14.62683 + 1615 | 7.252109 8.734115 0.83 0.407 -9.91946 24.42368 + 1616 | -5.516233 7.09098 -0.78 0.437 -19.45734 8.424877 + 1617 | 8.562213 12.05509 0.71 0.478 -15.13851 32.26293 + 1619 | 17.98072 13.71155 1.31 0.191 -8.976653 44.9381 + 1620 | -11.11874 8.122184 -1.37 0.172 -27.08723 4.849751 + 1698 | 1.035337 8.703845 0.12 0.905 -16.07672 18.14739 + 1699 | 6.290654 11.03889 0.57 0.569 -15.41218 27.99349 + 1700 | -4.434259 9.431396 -0.47 0.639 -22.97671 14.10819 + 1701 | -.4062184 8.072962 -0.05 0.960 -16.27794 15.4655 + 1704 | 4.13028 7.306788 0.57 0.572 -10.23511 18.49567 + 1706 | 3.662351 9.283549 0.39 0.693 -14.58942 21.91412 + 1707 | 9.173013 10.56412 0.87 0.386 -11.5964 29.94243 + 1708 | 4.987949 9.893766 0.50 0.614 -14.46353 24.43943 + 1709 | 10.37775 10.09898 1.03 0.305 -9.477184 30.23269 + 1798 | 1.112904 8.151236 0.14 0.891 -14.9127 17.13851 + 1799 | -9.11283 8.289684 -1.10 0.272 -25.41063 7.184972 + 1800 | -6.036323 7.495697 -0.81 0.421 -20.77312 8.700473 + 1802 | 7.005113 9.534116 0.73 0.463 -11.73928 25.74951 + 1803 | 1.492497 9.333832 0.16 0.873 -16.85813 19.84313 + 1804 | -.882567 9.202826 -0.10 0.924 -18.97564 17.2105 + 1806 | 16.4666 13.15266 1.25 0.211 -9.391983 42.32519 + 1807 | -7.027936 7.379367 -0.95 0.341 -21.53602 7.480151 + 1808 | -11.50173 7.741944 -1.49 0.138 -26.72266 3.719199 + 1900 | 12.8389 16.79399 0.76 0.445 -20.17866 45.85646 + 1901 | -4.401873 7.885026 -0.56 0.577 -19.9041 11.10036 + 1902 | 6.98243 11.14695 0.63 0.531 -14.93285 28.89771 + 1905 | 72.03789 37.40353 1.93 0.055 -1.498719 145.5745 + 1906 | 11.25292 15.02668 0.75 0.454 -18.29005 40.79589 + 1907 | -1.343248 8.353245 -0.16 0.872 -17.76601 15.07952 + 1908 | 25.3615 18.4888 1.37 0.171 -10.9881 61.71111 + 1909 | 6.324756 17.3549 0.36 0.716 -27.79556 40.44507 + 1910 | 26.07189 19.64917 1.33 0.185 -12.55905 64.70284 + 1911 | 13.09586 16.12104 0.81 0.417 -18.59866 44.79037 + 1912 | -21.71213 15.60284 -1.39 0.165 -52.38784 8.963585 + 1914 | -3.651175 8.609794 -0.42 0.672 -20.57832 13.27597 + 1915 | 5.536761 8.137543 0.68 0.497 -10.46193 21.53545 + 1919 | 5.849491 9.012231 0.65 0.517 -11.86886 23.56784 + 1920 | 16.72437 11.57401 1.44 0.149 -6.030531 39.47928 + 1925 | 24.8856 12.12806 2.05 0.041 1.041423 48.72978 + 1926 | 17.13487 10.95038 1.56 0.118 -4.393955 38.66369 + 1927 | -4.242171 8.54481 -0.50 0.620 -21.04156 12.55722 + 1929 | -1.457396 11.04619 -0.13 0.895 -23.17458 20.25979 + 1999 | -8.709223 8.10436 -1.07 0.283 -24.64267 7.224224 + 2000 | 3.657553 9.546221 0.38 0.702 -15.11064 22.42575 + 2001 | -2.894091 8.328945 -0.35 0.728 -19.26908 13.4809 + 2002 | 1.983617 8.149745 0.24 0.808 -14.03906 18.00629 + 2003 | 69.30842 23.67521 2.93 0.004 22.76214 115.8547 + 2004 | 6.565734 8.583242 0.76 0.445 -10.30921 23.44068 + 2005 | -14.33541 9.171657 -1.56 0.119 -32.3672 3.69638 + 2006 | 71.76069 27.55943 2.60 0.010 17.5779 125.9435 + 2007 | -3.667252 8.403178 -0.44 0.663 -20.18819 12.85368 + 2008 | 6.274708 7.754332 0.81 0.419 -8.970572 21.51999 + 2009 | 3.944751 8.919074 0.44 0.659 -13.59045 21.47995 + 2011 | 2.554613 8.731145 0.29 0.770 -14.61112 19.72034 + 2012 | -2.537463 8.147745 -0.31 0.756 -18.55621 13.48128 + 2013 | 5.17451 11.59979 0.45 0.656 -17.63107 27.98009 + 2014 | -8.304098 8.125822 -1.02 0.307 -24.27974 7.671546 + 2015 | -5.566584 10.25227 -0.54 0.587 -25.72289 14.58973 + 2030 | 61.58226 25.46718 2.42 0.016 11.51292 111.6516 + 2099 | 49.99955 47.94648 1.04 0.298 -44.26485 144.264 + 2100 | 6.803477 11.95375 0.57 0.570 -16.69801 30.30496 + 2101 | 3.069965 7.578608 0.41 0.686 -11.82984 17.96977 + 2102 | -1.115837 7.406509 -0.15 0.880 -15.67729 13.44561 + 2103 | 1.206264 7.462099 0.16 0.872 -13.46448 15.877 + 2104 | -.7624321 7.427172 -0.10 0.918 -15.3645 13.83964 + 2105 | 38.29196 26.69106 1.43 0.152 -14.18357 90.76748 + 9999 | -6.306588 7.535833 -0.84 0.403 -21.12229 8.509116 + | + house_administration | 3.721415 6.212698 0.60 0.550 -8.492961 15.93579 + house_agriculture | 10.16732 3.599253 2.82 0.005 3.091066 17.24357 + house_appropriations | -.7455188 3.242793 -0.23 0.818 -7.120959 5.629922 + house_armedservices | .7302481 3.826111 0.19 0.849 -6.792016 8.252512 + house_budget | -1.377455 3.761523 -0.37 0.714 -8.772738 6.017827 + house_dc | 8.164055 4.034497 2.02 0.044 .2320968 16.09601 + house_educlabor | -3.777707 2.578936 -1.46 0.144 -8.847982 1.292569 + house_energycommerce | 3.230647 2.09735 1.54 0.124 -.892815 7.354109 + house_foreignaffairs | 3.582126 2.851807 1.26 0.210 -2.024625 9.188877 + house_governmentop | 6.92812 4.53022 1.53 0.127 -1.978447 15.83469 + house_intelligence | 19.74506 28.07697 0.70 0.482 -35.45523 74.94534 + house_interior | -4.449154 2.975022 -1.50 0.136 -10.29815 1.39984 + house_judiciary | 4.918121 2.681183 1.83 0.067 -.3531757 10.18942 + house_mmf | -.6738774 3.788357 -0.18 0.859 -8.121916 6.774162 + house_pocs | -10.62821 7.961306 -1.33 0.183 -26.28041 5.023992 + house_pwt | 5.518682 3.036111 1.82 0.070 -.450415 11.48778 + house_rules | .4961374 2.916983 0.17 0.865 -5.23875 6.231025 + house_sst | -6.51551 5.144713 -1.27 0.206 -16.63019 3.59917 + house_smallbusi | 1.732324 3.236656 0.54 0.593 -4.631052 8.095699 + house_soc | -1.481527 4.657385 -0.32 0.751 -10.63811 7.675051 + house_veterans | -2.369497 3.878958 -0.61 0.542 -9.99566 5.256666 + house_waysandmeans | 2.98897 1.87505 1.59 0.112 -.6974425 6.675383 +house_naturalresources | -3.133014 2.745436 -1.14 0.254 -8.530635 2.264606 + house_bfs | 2.778174 3.325235 0.84 0.404 -3.759352 9.3157 + house_eeo | -7.648636 6.751737 -1.13 0.258 -20.92278 5.625508 + house_govreform | 1.002664 3.235541 0.31 0.757 -5.35852 7.363848 + house_ir | .3821926 2.823441 0.14 0.892 -5.168788 5.933173 + house_natsecur | -.969446 5.422776 -0.18 0.858 -11.63081 9.691916 + house_oversight | 6.546962 3.960084 1.65 0.099 -1.238699 14.33262 + house_resources | -4.220008 2.257438 -1.87 0.062 -8.658208 .2181918 + house_science | -.1636224 4.815573 -0.03 0.973 -9.631204 9.303959 + house_transp | .1836106 2.892301 0.06 0.949 -5.502752 5.869973 + house_homeland | -1.995324 4.485522 -0.44 0.657 -10.81401 6.823366 + _cons | 7.399298 7.870774 0.94 0.348 -8.074912 22.87351 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 278 1 0 1 1 + + +j = 3 k = 2 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6187 +----------------------+---------------------- NN matches = 3 + Number of obs | 2193 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 29.70309 50.99673 .5824509 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(58,732 missing values generated) +(60,180 missing values generated) +(1,448 real changes made) +reg numb_cosponsors sponsor_female i.v2 MV1_female femaleXMV1_female i.minor house_* [aw=wt] if sponsor_party==100 & tag_bill==1 & sample==1 & women_friend1==0 & ab +> s(MV1_female)<=29.70309229792213, robust cluster(group_sponsor) +(sum of wgt is 3,285.44246602058) + +Linear regression Number of obs = 1,458 + F(159, 185) = . + Prob > F = . + R-squared = 0.2357 + Root MSE = 26.179 + + (Std. Err. adjusted for 186 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | .2051544 3.614084 0.06 0.955 -6.924964 7.335273 + | + v2 | + 102 | -1.646291 5.85096 -0.28 0.779 -13.18947 9.896893 + 103 | -2.628991 6.682946 -0.39 0.694 -15.81357 10.55559 + 104 | 1.477532 6.850875 0.22 0.829 -12.03835 14.99342 + 105 | 4.16315 7.814311 0.53 0.595 -11.25347 19.57977 + 106 | -4.293602 7.551226 -0.57 0.570 -19.19119 10.60398 + 107 | -3.079778 6.448095 -0.48 0.633 -15.80103 9.641474 + 108 | -.415084 6.576371 -0.06 0.950 -13.38941 12.55924 + 109 | -4.178001 7.690502 -0.54 0.588 -19.35036 10.99436 + 110 | -3.029171 6.722719 -0.45 0.653 -16.29222 10.23388 + 111 | -4.905722 6.22378 -0.79 0.432 -17.18443 7.372986 + | + MV1_female | .0782184 .1518433 0.52 0.607 -.2213487 .3777856 + femaleXMV1_female | -.0983111 .2050855 -0.48 0.632 -.502918 .3062959 + | + minor | + 103 | -4.09211 7.568369 -0.54 0.589 -19.02352 10.8393 + 104 | -8.674003 8.090152 -1.07 0.285 -24.63482 7.286815 + 105 | 1.59004 7.029698 0.23 0.821 -12.27864 15.45872 + 107 | -6.276241 7.221365 -0.87 0.386 -20.52306 7.970574 + 108 | 18.1675 8.364996 2.17 0.031 1.664455 34.67055 + 400 | 25.44122 34.64404 0.73 0.464 -42.90697 93.78941 + 401 | -9.569303 8.997219 -1.06 0.289 -27.31965 8.181041 + 402 | -2.645288 7.451974 -0.35 0.723 -17.34706 12.05649 + 403 | -3.575555 9.095326 -0.39 0.695 -21.51945 14.36834 + 404 | 10.2221 12.37454 0.83 0.410 -14.19125 34.63546 + 405 | -5.840069 9.861026 -0.59 0.554 -25.29459 13.61445 + 498 | -10.61217 7.730052 -1.37 0.171 -25.86256 4.638216 + 499 | -8.262226 11.49432 -0.72 0.473 -30.93902 14.41457 + 700 | 1.852772 10.39222 0.18 0.859 -18.64974 22.35528 + 701 | -2.061676 9.429054 -0.22 0.827 -20.66397 16.54062 + 703 | -8.312163 9.459472 -0.88 0.381 -26.97447 10.35014 + 704 | -17.93629 7.847941 -2.29 0.023 -33.41925 -2.453319 + 705 | -15.5631 8.274294 -1.88 0.062 -31.8872 .7610073 + 707 | 74.84016 43.82314 1.71 0.089 -11.6172 161.2975 + 708 | -16.43779 7.291306 -2.25 0.025 -30.82259 -2.052997 + 709 | 10.03518 10.95943 0.92 0.361 -11.58634 31.65671 + 710 | -2.637504 11.93616 -0.22 0.825 -26.186 20.91099 + 711 | 39.89317 33.23738 1.20 0.232 -25.67986 105.4662 + 798 | -9.436802 7.644296 -1.23 0.219 -24.518 5.6444 + 799 | -5.779851 5.311353 -1.09 0.278 -16.25846 4.698757 + 800 | -1.129045 11.59108 -0.10 0.923 -23.99675 21.73866 + 801 | -9.431311 6.013781 -1.57 0.119 -21.29572 2.433096 + 802 | -10.44392 7.726735 -1.35 0.178 -25.68776 4.799927 + 803 | -5.472163 6.930626 -0.79 0.431 -19.14539 8.201061 + 805 | -4.117297 7.816867 -0.53 0.599 -19.53896 11.30437 + 806 | -8.789641 6.927932 -1.27 0.206 -22.45755 4.878267 + 807 | .1738129 7.250599 0.02 0.981 -14.13068 14.4783 + 898 | .2368902 12.39437 0.02 0.985 -24.2156 24.68938 + 899 | 28.44832 8.496094 3.35 0.001 11.68664 45.21001 + 1000 | -7.260555 8.888439 -0.82 0.415 -24.79629 10.27518 + 1001 | -8.343405 10.93273 -0.76 0.446 -29.91225 13.22544 + 1002 | -14.07496 8.206433 -1.72 0.088 -30.26519 2.115262 + 1003 | -8.603416 8.233953 -1.04 0.297 -24.84794 7.641103 + 1005 | -8.63838 9.803239 -0.88 0.379 -27.9789 10.70214 + 1006 | -9.160923 9.637924 -0.95 0.343 -28.17529 9.853448 + 1007 | .805841 10.04708 0.08 0.936 -19.01574 20.62742 + 1010 | -22.14426 10.62251 -2.08 0.038 -43.10109 -1.187423 + 1400 | -11.40721 6.925925 -1.65 0.101 -25.07116 2.256743 + 1401 | -9.59545 6.879862 -1.39 0.165 -23.16852 3.977622 + 1403 | 5.067459 7.07762 0.72 0.475 -8.895766 19.03068 + 1404 | 2.628985 6.646889 0.40 0.693 -10.48446 15.74243 + 1405 | -.169395 10.89514 -0.02 0.988 -21.66409 21.3253 + 1406 | -4.812763 8.193164 -0.59 0.558 -20.97681 11.35128 + 1407 | 6.525726 9.258897 0.70 0.482 -11.74087 24.79233 + 1408 | -5.593351 6.801552 -0.82 0.412 -19.01193 7.825226 + 1409 | 24.46318 15.86127 1.54 0.125 -6.829048 55.7554 + 1410 | -7.856359 7.028767 -1.12 0.265 -21.7232 6.010484 + 1500 | -15.37556 8.059236 -1.91 0.058 -31.27539 .5242628 + 1501 | 13.02976 13.65295 0.95 0.341 -13.90572 39.96525 + 1502 | 17.71065 14.78709 1.20 0.233 -11.46237 46.88366 + 1504 | 9.90129 10.5077 0.94 0.347 -10.82903 30.63161 + 1505 | -2.269438 8.032672 -0.28 0.778 -18.11685 13.57798 + 1507 | -8.728391 8.471916 -1.03 0.304 -25.44238 7.985598 + 1520 | -10.22421 7.433416 -1.38 0.171 -24.88937 4.440953 + 1521 | -6.298843 7.193381 -0.88 0.382 -20.49045 7.892761 + 1522 | -12.17627 9.601339 -1.27 0.206 -31.11846 6.765921 + 1523 | -11.73117 7.670158 -1.53 0.128 -26.86339 3.401058 + 1524 | 16.62996 16.99878 0.98 0.329 -16.90642 50.16635 + 1525 | 13.71269 12.56875 1.09 0.277 -11.08382 38.5092 + 1526 | -7.867085 7.357236 -1.07 0.286 -22.38196 6.647785 + 1599 | -12.36434 7.61497 -1.62 0.106 -27.38769 2.659 + 1600 | -4.393917 8.127684 -0.54 0.589 -20.42878 11.64095 + 1602 | -5.200327 10.61163 -0.49 0.625 -26.13569 15.73503 + 1603 | -24.33968 13.40136 -1.82 0.071 -50.77881 2.09946 + 1604 | 2.96884 10.02945 0.30 0.768 -16.81796 22.75564 + 1605 | -.1555599 9.544638 -0.02 0.987 -18.98589 18.67477 + 1606 | 19.29883 17.79671 1.08 0.280 -15.81176 54.40942 + 1608 | 5.944416 8.092513 0.73 0.464 -10.02106 21.90989 + 1609 | 9.242637 7.410115 1.25 0.214 -5.376556 23.86183 + 1610 | 15.79863 8.18409 1.93 0.055 -.3475136 31.94477 + 1611 | -5.363494 6.56624 -0.82 0.415 -18.31783 7.590843 + 1612 | -1.723736 8.72957 -0.20 0.844 -18.94604 15.49857 + 1614 | -7.622461 7.520511 -1.01 0.312 -22.45945 7.214529 + 1615 | 2.400521 8.417933 0.29 0.776 -14.20697 19.00801 + 1616 | -12.41738 7.513838 -1.65 0.100 -27.24121 2.406444 + 1617 | -8.798935 8.035128 -1.10 0.275 -24.6512 7.053327 + 1619 | 22.21592 16.51301 1.35 0.180 -10.36211 54.79395 + 1620 | -13.80477 10.89029 -1.27 0.207 -35.28989 7.680354 + 1698 | -2.05037 9.137524 -0.22 0.823 -20.07752 15.97678 + 1699 | 8.594626 10.66269 0.81 0.421 -12.44147 29.63072 + 1701 | -3.717751 8.14256 -0.46 0.649 -19.78196 12.34646 + 1706 | -6.186432 8.0779 -0.77 0.445 -22.12308 9.750214 + 1707 | -5.56436 14.89402 -0.37 0.709 -34.94832 23.8196 + 1708 | 18.53876 17.77411 1.04 0.298 -16.52726 53.60478 + 1709 | 6.799011 12.06954 0.56 0.574 -17.01262 30.61064 + 1798 | -5.372429 7.089024 -0.76 0.450 -19.35815 8.613293 + 1800 | -.1262522 19.69128 -0.01 0.995 -38.97459 38.72209 + 1802 | -5.937795 8.92975 -0.66 0.507 -23.55503 11.67944 + 1803 | -12.79162 11.10752 -1.15 0.251 -34.70531 9.122061 + 1804 | 2.194412 19.08675 0.11 0.909 -35.46127 39.85009 + 1806 | 19.17081 21.92832 0.87 0.383 -24.0909 62.43253 + 1807 | -7.208654 8.513516 -0.85 0.398 -24.00471 9.587406 + 1900 | 39.79971 25.43114 1.56 0.119 -10.37261 89.97203 + 1901 | -16.35637 13.14758 -1.24 0.215 -42.29483 9.582088 + 1902 | -3.612862 9.993486 -0.36 0.718 -23.32871 16.10299 + 1905 | 96.53238 19.17032 5.04 0.000 58.71182 134.3529 + 1906 | 10.48308 15.50628 0.68 0.500 -20.10879 41.07496 + 1907 | 8.507254 8.701326 0.98 0.330 -8.659331 25.67384 + 1908 | 3.728159 29.17093 0.13 0.898 -53.82229 61.27861 + 1909 | 26.06214 13.60939 1.92 0.057 -.7874129 52.91169 + 1911 | -24.41811 25.0873 -0.97 0.332 -73.9121 25.07587 + 1912 | -45.06746 20.75381 -2.17 0.031 -86.01203 -4.122895 + 1919 | -11.97443 7.801326 -1.53 0.127 -27.36543 3.416575 + 1920 | -7.739079 10.16037 -0.76 0.447 -27.78418 12.30602 + 1925 | 52.35544 12.84261 4.08 0.000 27.01864 77.69224 + 1926 | 41.72671 26.04072 1.60 0.111 -9.648236 93.10167 + 1927 | -13.26852 7.667717 -1.73 0.085 -28.39593 1.858888 + 1929 | -13.68628 8.592583 -1.59 0.113 -30.63833 3.265766 + 1999 | -8.723073 8.786694 -0.99 0.322 -26.05808 8.611932 + 2000 | 13.32074 8.875455 1.50 0.135 -4.189376 30.83086 + 2001 | -12.32828 6.231593 -1.98 0.049 -24.6224 -.0341551 + 2002 | -6.455075 7.668173 -0.84 0.401 -21.58338 8.673233 + 2003 | 27.1687 22.22531 1.22 0.223 -16.67896 71.01635 + 2004 | 6.648108 11.58421 0.57 0.567 -16.20603 29.50225 + 2005 | -33.21589 17.05773 -1.95 0.053 -66.86857 .4367942 + 2006 | 42.89698 24.61512 1.74 0.083 -5.665462 91.45941 + 2007 | -8.055948 8.248535 -0.98 0.330 -24.32923 8.217339 + 2008 | -2.419721 7.907518 -0.31 0.760 -18.02023 13.18078 + 2011 | -5.067283 6.641958 -0.76 0.446 -18.171 8.036436 + 2012 | -1.327282 9.170484 -0.14 0.885 -19.41945 16.76489 + 2013 | 16.6643 16.29531 1.02 0.308 -15.48422 48.81282 + 2014 | -9.561398 7.479113 -1.28 0.203 -24.31672 5.193918 + 2015 | 14.09026 7.572261 1.86 0.064 -.8488227 29.02935 + 2030 | 47.11222 22.98253 2.05 0.042 1.77068 92.45376 + 2099 | -1.889665 11.4865 -0.16 0.870 -24.55103 20.7717 + 2100 | 33.32581 15.96387 2.09 0.038 1.831172 64.82044 + 2101 | -1.243677 6.252347 -0.20 0.843 -13.57874 11.09139 + 2102 | -2.390781 5.861709 -0.41 0.684 -13.95517 9.173607 + 2103 | -1.191724 6.802911 -0.18 0.861 -14.61298 12.22953 + 2104 | 1.670554 7.147116 0.23 0.815 -12.42978 15.77088 + 9999 | -9.312973 6.764506 -1.38 0.170 -22.65846 4.032517 + | + house_administration | 2.741334 7.231964 0.38 0.705 -11.52639 17.00906 + house_agriculture | 2.479452 4.214505 0.59 0.557 -5.835218 10.79412 + house_appropriations | 2.608085 7.046503 0.37 0.712 -11.29375 16.50992 + house_armedservices | .3846756 5.339683 0.07 0.943 -10.14983 10.91918 + house_budget | -4.387279 4.813687 -0.91 0.363 -13.88406 5.1095 + house_dc | 5.472214 4.980229 1.10 0.273 -4.353129 15.29756 + house_educlabor | .4468043 4.975817 0.09 0.929 -9.369835 10.26344 + house_energycommerce | 7.305174 3.856662 1.89 0.060 -.3035194 14.91387 + house_foreignaffairs | 15.19566 9.863751 1.54 0.125 -4.264234 34.65556 + house_governmentop | 3.062382 4.268031 0.72 0.474 -5.357889 11.48265 + house_intelligence | 37.19306 20.28271 1.83 0.068 -2.822081 77.20821 + house_interior | -2.999923 4.386309 -0.68 0.495 -11.65354 5.653694 + house_judiciary | 6.927082 4.911966 1.41 0.160 -2.763589 16.61775 + house_mmf | -5.788124 4.581871 -1.26 0.208 -14.82756 3.251312 + house_pocs | -.0603078 9.347679 -0.01 0.995 -18.50206 18.38145 + house_pwt | 12.26986 3.84185 3.19 0.002 4.690388 19.84933 + house_rules | -4.258566 5.308719 -0.80 0.423 -14.73198 6.214846 + house_sst | -7.81641 4.727547 -1.65 0.100 -17.14325 1.510425 + house_smallbusi | 3.111585 4.49991 0.69 0.490 -5.766152 11.98932 + house_soc | 2.490818 7.702757 0.32 0.747 -12.70572 17.68736 + house_veterans | 2.741319 4.536505 0.60 0.546 -6.208615 11.69125 + house_waysandmeans | 4.959489 2.907919 1.71 0.090 -.7774564 10.69643 +house_naturalresources | -4.130557 3.596499 -1.15 0.252 -11.22598 2.964868 + house_bfs | -.2852822 3.330279 -0.09 0.932 -6.85549 6.284925 + house_eeo | 3.192376 6.880903 0.46 0.643 -10.38275 16.7675 + house_govreform | 6.999881 5.940566 1.18 0.240 -4.720083 18.71985 + house_ir | 2.355107 6.823442 0.35 0.730 -11.10666 15.81687 + house_natsecur | -5.295414 5.872408 -0.90 0.368 -16.88091 6.290084 + house_oversight | 4.961724 6.681459 0.74 0.459 -8.219925 18.14337 + house_resources | -2.523125 4.03338 -0.63 0.532 -10.48046 5.434209 + house_science | 4.11294 4.097077 1.00 0.317 -3.970059 12.19594 + house_transp | 10.65955 5.766162 1.85 0.066 -.7163387 22.03544 + house_homeland | 4.563235 5.252958 0.87 0.386 -5.800167 14.92664 + _cons | 11.8166 9.628116 1.23 0.221 -7.178425 30.81162 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 121 1 0 1 1 + + +j = 3 k = 3 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 13.03771 22.75762 .5728944 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(58,683 missing values generated) +(61,323 missing values generated) +(2,640 real changes made) +reg numb_cosponsors sponsor_female i.v2 MV1_female femaleXMV1_female i.minor house_* [aw=wt] if sponsor_party==200 & tag_bill==1 & sample==1 & women_friend1==0 & ab +> s(MV1_female)<=13.03771312568893, robust cluster(group_sponsor) +(sum of wgt is 1,426.77724575996) +note: house_dc omitted because of collinearity +note: house_eeo omitted because of collinearity + +Linear regression Number of obs = 826 + F(95, 96) = . + Prob > F = . + R-squared = 0.4455 + Root MSE = 26.535 + + (Std. Err. adjusted for 97 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 2.13405 4.26879 0.50 0.618 -6.339431 10.60753 + | + v2 | + 103 | 1.234812 5.056087 0.24 0.808 -8.801441 11.27106 + 104 | 1.443748 6.83391 0.21 0.833 -12.12146 15.00895 + 105 | 3.331094 6.016832 0.55 0.581 -8.612223 15.27441 + 106 | 4.668464 6.016806 0.78 0.440 -7.274802 16.61173 + 107 | 11.34219 6.633705 1.71 0.091 -1.825614 24.50999 + 108 | 20.1608 9.809276 2.06 0.043 .6895425 39.63206 + 109 | 9.111647 5.955533 1.53 0.129 -2.709993 20.93329 + 110 | .5850957 5.981479 0.10 0.922 -11.28805 12.45824 + 111 | -4.265928 6.253923 -0.68 0.497 -16.67987 8.148011 + | + MV1_female | -.088653 .3493709 -0.25 0.800 -.7821488 .6048427 + femaleXMV1_female | -.1637254 .6068784 -0.27 0.788 -1.36837 1.040919 + | + minor | + 101 | -18.42944 16.44349 -1.12 0.265 -51.06952 14.21063 + 104 | -32.2389 14.20585 -2.27 0.025 -60.4373 -4.0405 + 105 | -29.35614 13.49673 -2.18 0.032 -56.14695 -2.565334 + 107 | -10.76012 13.18108 -0.82 0.416 -36.92437 15.40412 + 108 | -27.62114 12.98102 -2.13 0.036 -53.38826 -1.854008 + 400 | -26.30059 14.91395 -1.76 0.081 -55.90456 3.303368 + 401 | 1.239515 20.04223 0.06 0.951 -38.54399 41.02302 + 402 | -22.85276 14.4729 -1.58 0.118 -51.58124 5.875715 + 403 | 1.016273 16.19712 0.06 0.950 -31.13475 33.1673 + 499 | 92.79221 59.19918 1.57 0.120 -24.71723 210.3017 + 700 | -19.7116 16.33522 -1.21 0.231 -52.13675 12.71355 + 701 | -29.97348 14.75248 -2.03 0.045 -59.25691 -.6900488 + 703 | -15.30437 14.38377 -1.06 0.290 -43.85592 13.24719 + 704 | -26.36602 12.92679 -2.04 0.044 -52.0255 -.7065438 + 705 | -19.48152 15.62406 -1.25 0.215 -50.49502 11.53199 + 707 | -27.72797 14.21997 -1.95 0.054 -55.95438 .4984477 + 709 | 8.109155 17.22319 0.47 0.639 -26.07861 42.29692 + 710 | -14.52404 14.43817 -1.01 0.317 -43.18357 14.1355 + 711 | -23.63817 12.6047 -1.88 0.064 -48.65829 1.381964 + 798 | -4.484854 16.03262 -0.28 0.780 -36.30936 27.33965 + 800 | -5.154216 12.23483 -0.42 0.674 -29.44016 19.13172 + 801 | -24.24082 16.00028 -1.52 0.133 -56.00113 7.519494 + 802 | -24.0721 13.86027 -1.74 0.086 -51.58451 3.440313 + 803 | -17.74471 13.94846 -1.27 0.206 -45.43218 9.942758 + 805 | -29.15444 14.28305 -2.04 0.044 -57.50606 -.802817 + 806 | -23.08156 12.41997 -1.86 0.066 -47.735 1.571879 + 807 | -20.92847 13.9104 -1.50 0.136 -48.54041 6.683458 + 1000 | -34.47949 12.5524 -2.75 0.007 -59.39581 -9.563171 + 1001 | -19.52727 15.48928 -1.26 0.210 -50.27325 11.2187 + 1002 | -21.75702 14.69782 -1.48 0.142 -50.93196 7.417922 + 1003 | -14.13514 15.06144 -0.94 0.350 -44.03186 15.76159 + 1005 | -11.47728 15.64336 -0.73 0.465 -42.5291 19.57455 + 1006 | 30.17557 28.72132 1.05 0.296 -26.83581 87.18695 + 1007 | -19.74291 14.41872 -1.37 0.174 -48.36384 8.87803 + 1010 | -20.70816 14.20482 -1.46 0.148 -48.90451 7.48818 + 1400 | -9.271074 13.98044 -0.66 0.509 -37.02204 18.47989 + 1401 | -15.00103 15.86997 -0.95 0.347 -46.50268 16.50062 + 1404 | -22.69717 13.44658 -1.69 0.095 -49.38842 3.994075 + 1405 | -31.62776 14.15696 -2.23 0.028 -59.72911 -3.526416 + 1406 | -37.7138 13.16751 -2.86 0.005 -63.8511 -11.57651 + 1407 | 6.098821 20.9274 0.29 0.771 -35.44175 47.63939 + 1409 | -14.87028 21.83579 -0.68 0.498 -58.21398 28.47342 + 1410 | 49.23947 14.17103 3.47 0.001 21.1102 77.36874 + 1499 | -34.45316 14.43512 -2.39 0.019 -63.10665 -5.799676 + 1500 | -27.26137 14.1416 -1.93 0.057 -55.33221 .8094757 + 1501 | -27.01746 13.08328 -2.07 0.042 -52.98757 -1.047355 + 1502 | -21.34814 15.58957 -1.37 0.174 -52.2932 9.596919 + 1504 | -13.83721 13.36829 -1.04 0.303 -40.37305 12.69864 + 1505 | -23.09375 13.01474 -1.77 0.079 -48.9278 2.740304 + 1507 | 77.78166 15.11542 5.15 0.000 47.77779 107.7855 + 1520 | -23.50185 13.35332 -1.76 0.082 -50.00798 3.004283 + 1521 | -8.280729 13.5813 -0.61 0.543 -35.2394 18.67795 + 1523 | -22.18843 13.04904 -1.70 0.092 -48.09057 3.713711 + 1524 | -24.83744 14.62241 -1.70 0.093 -53.86269 4.187813 + 1525 | -16.03392 14.51628 -1.10 0.272 -44.84851 12.78067 + 1526 | -16.75691 13.56166 -1.24 0.220 -43.67659 10.16278 + 1599 | -20.36632 14.09856 -1.44 0.152 -48.35174 7.619107 + 1600 | 5.215381 22.73908 0.23 0.819 -39.92133 50.35209 + 1603 | -221.9743 22.32018 -9.95 0.000 -266.2795 -177.6691 + 1604 | -18.00415 13.85332 -1.30 0.197 -45.50277 9.494476 + 1605 | 13.75029 16.04531 0.86 0.394 -18.09941 45.59998 + 1608 | -12.24875 15.46006 -0.79 0.430 -42.93673 18.43922 + 1609 | 3.873313 17.22797 0.22 0.823 -30.32394 38.07057 + 1610 | -10.41324 15.7403 -0.66 0.510 -41.6575 20.83101 + 1611 | -21.40688 15.43789 -1.39 0.169 -52.05084 9.237086 + 1612 | -25.42201 13.54061 -1.88 0.063 -52.29991 1.455894 + 1615 | -16.91214 18.98435 -0.89 0.375 -54.59578 20.77149 + 1616 | -24.16216 13.68024 -1.77 0.081 -51.31722 2.992894 + 1617 | -3.163435 15.30582 -0.21 0.837 -33.54524 27.21837 + 1619 | -19.09317 17.43216 -1.10 0.276 -53.69574 15.50939 + 1698 | -7.201927 12.96949 -0.56 0.580 -32.94617 18.54231 + 1699 | -18.02673 15.15695 -1.19 0.237 -48.11303 12.05957 + 1701 | -25.53378 14.52474 -1.76 0.082 -54.36516 3.2976 + 1704 | 8.388843 15.40469 0.54 0.587 -22.18923 38.96691 + 1706 | -24.14184 18.02162 -1.34 0.184 -59.91448 11.63079 + 1707 | -25.41185 14.71601 -1.73 0.087 -54.6229 3.799205 + 1709 | -2.910354 17.96833 -0.16 0.872 -38.57721 32.7565 + 1798 | -25.17366 14.33178 -1.76 0.082 -53.62203 3.274708 + 1800 | -34.01297 14.82033 -2.30 0.024 -63.43109 -4.594847 + 1802 | -6.784366 28.85687 -0.24 0.815 -64.0648 50.49607 + 1803 | -32.10416 14.4413 -2.22 0.029 -60.76991 -3.438408 + 1804 | -23.62114 12.98102 -1.82 0.072 -49.38826 2.145992 + 1806 | -23.42708 13.86685 -1.69 0.094 -50.95256 4.098403 + 1807 | -28.04576 13.12641 -2.14 0.035 -54.10148 -1.990053 + 1808 | -30.21942 13.589 -2.22 0.029 -57.19338 -3.245464 + 1900 | -21.71976 14.52301 -1.50 0.138 -50.54771 7.108199 + 1901 | -24.6743 15.4006 -1.60 0.112 -55.24424 5.895645 + 1902 | -10.48163 16.64263 -0.63 0.530 -43.51698 22.55373 + 1905 | -28.07343 15.69353 -1.79 0.077 -59.22484 3.077968 + 1906 | -24.22043 16.05867 -1.51 0.135 -56.09664 7.655781 + 1907 | -15.89543 14.78762 -1.07 0.285 -45.24862 13.45776 + 1909 | -38.83461 14.10437 -2.75 0.007 -66.83157 -10.83765 + 1910 | -18.39294 16.53554 -1.11 0.269 -51.21574 14.42985 + 1914 | -28.07343 15.69353 -1.79 0.077 -59.22484 3.077968 + 1915 | -8.868975 16.48136 -0.54 0.592 -41.58422 23.84627 + 1919 | -20.7409 15.93186 -1.30 0.196 -52.3654 10.8836 + 1925 | 1.115068 19.49177 0.06 0.954 -37.57579 39.80592 + 1926 | -16.75139 15.4435 -1.08 0.281 -47.40651 13.90372 + 1927 | -17.37959 16.07733 -1.08 0.282 -49.29285 14.53367 + 1929 | -28.40496 15.75484 -1.80 0.075 -59.67807 2.868146 + 2000 | -10.76957 18.47296 -0.58 0.561 -47.43811 25.89897 + 2001 | -9.547579 16.66297 -0.57 0.568 -42.62332 23.52816 + 2002 | -18.59758 14.97523 -1.24 0.217 -48.32316 11.12801 + 2003 | 128.0855 73.38315 1.75 0.084 -17.57894 273.7498 + 2004 | -27.82756 15.2382 -1.83 0.071 -58.07515 2.420026 + 2005 | -24.62141 14.87681 -1.66 0.101 -54.15164 4.908819 + 2006 | 103.3851 66.69737 1.55 0.124 -29.00817 235.7783 + 2007 | -26.27027 20.37408 -1.29 0.200 -66.71249 14.17195 + 2008 | -17.52604 13.92307 -1.26 0.211 -45.16311 10.11103 + 2009 | -10.12385 13.10853 -0.77 0.442 -36.14408 15.89638 + 2011 | -20.69395 15.79998 -1.31 0.193 -52.05667 10.66877 + 2012 | -35.58381 14.59467 -2.44 0.017 -64.554 -6.613622 + 2013 | -26.56037 16.36891 -1.62 0.108 -59.0524 5.931671 + 2014 | -37.48344 16.33251 -2.30 0.024 -69.90322 -5.063669 + 2015 | -39.37052 14.3701 -2.74 0.007 -67.89495 -10.84609 + 2100 | -10.58898 15.99926 -0.66 0.510 -42.34726 21.16931 + 2101 | -7.949766 15.80761 -0.50 0.616 -39.32763 23.4281 + 2102 | -22.12171 13.03219 -1.70 0.093 -47.99041 3.746991 + 2103 | -17.55853 13.45149 -1.31 0.195 -44.25953 9.142463 + 2104 | -23.57692 13.03943 -1.81 0.074 -49.45998 2.306135 + 2105 | 105.6236 81.1153 1.30 0.196 -55.38901 266.6362 + | + house_administration | 9.282186 6.407615 1.45 0.151 -3.43683 22.0012 + house_agriculture | 7.285319 3.38635 2.15 0.034 .5634674 14.00717 + house_appropriations | -2.724698 7.939782 -0.34 0.732 -18.48504 13.03564 + house_armedservices | -3.952622 9.53623 -0.41 0.679 -22.88189 14.97665 + house_budget | 12.03384 10.47629 1.15 0.254 -8.761423 32.8291 + house_dc | 0 (omitted) + house_educlabor | -8.038247 8.913137 -0.90 0.369 -25.73068 9.654189 + house_energycommerce | 4.27024 4.348765 0.98 0.329 -4.361991 12.90247 + house_foreignaffairs | .203344 7.856348 0.03 0.979 -15.39138 15.79807 + house_governmentop | -2.127873 6.340608 -0.34 0.738 -14.71388 10.45813 + house_intelligence | 201.5861 14.41065 13.99 0.000 172.9812 230.191 + house_interior | -8.555504 7.606447 -1.12 0.263 -23.65418 6.543174 + house_judiciary | 2.36172 4.700283 0.50 0.616 -6.968268 11.69171 + house_mmf | -17.75271 7.976888 -2.23 0.028 -33.58671 -1.918712 + house_pocs | -16.05822 15.42415 -1.04 0.300 -46.67492 14.55848 + house_pwt | 7.099924 9.056867 0.78 0.435 -10.87782 25.07766 + house_rules | 3.490451 4.719013 0.74 0.461 -5.876715 12.85762 + house_sst | -3.547678 15.18394 -0.23 0.816 -33.68756 26.5922 + house_smallbusi | -11.70601 7.956197 -1.47 0.144 -27.49893 4.086918 + house_soc | -1.668037 11.10919 -0.15 0.881 -23.71961 20.38354 + house_veterans | -11.89431 16.72114 -0.71 0.479 -45.08552 21.2969 + house_waysandmeans | 3.266292 3.609261 0.90 0.368 -3.898035 10.43062 +house_naturalresources | 2.78082 6.696731 0.42 0.679 -10.51209 16.07373 + house_bfs | 3.861741 5.305716 0.73 0.468 -6.670021 14.3935 + house_eeo | 0 (omitted) + house_govreform | 5.032792 7.274904 0.69 0.491 -9.407779 19.47336 + house_ir | -3.093098 5.566065 -0.56 0.580 -14.14165 7.955454 + house_natsecur | 8.431869 16.85903 0.50 0.618 -25.03304 41.89678 + house_oversight | 15.80188 7.599791 2.08 0.040 .7164117 30.88734 + house_resources | -5.877921 5.374191 -1.09 0.277 -16.54561 4.789764 + house_science | -13.19251 7.34561 -1.80 0.076 -27.77343 1.388409 + house_transp | -7.368788 5.293762 -1.39 0.167 -17.87682 3.139247 + house_homeland | -6.200466 13.02687 -0.48 0.635 -32.0586 19.65766 + _cons | 22.02134 15.62414 1.41 0.162 -8.992319 53.03501 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 67 1 0 1 1 + + +j = 4 k = 1 + + +rdbwselect_2014 numb_cosponsors MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11990 +----------------------+---------------------- NN matches = 3 + Number of obs | 6151 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 25.22792 46.13311 .5468506 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(6,677 missing values generated) +(54,574 missing values generated) +(47,897 real changes made) +reg numb_cosponsors sponsor_female i.v2 i.minor house_* [aw=wt] if tag_bill==1 & women_friend1==0, robust cluster(group_sponsor) +(sum of wgt is 76,437.2974107265) + +Linear regression Number of obs = 37,536 + F(197, 4310) = . + Prob > F = . + R-squared = 0.1397 + Root MSE = 33.036 + + (Std. Err. adjusted for 4,311 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | .8429583 .6883539 1.22 0.221 -.5065695 2.192486 + | + v2 | + 102 | -.9433807 2.206739 -0.43 0.669 -5.269725 3.382963 + 103 | -4.025803 1.941228 -2.07 0.038 -7.831609 -.2199977 + 104 | -.4068193 2.372864 -0.17 0.864 -5.058853 4.245214 + 105 | .7213077 2.019441 0.36 0.721 -3.237836 4.680452 + 106 | 1.678966 2.244456 0.75 0.454 -2.721322 6.079254 + 107 | -.3693259 2.008843 -0.18 0.854 -4.307692 3.56904 + 108 | .4244284 2.235457 0.19 0.849 -3.958218 4.807074 + 109 | -1.325531 2.032158 -0.65 0.514 -5.309606 2.658545 + 110 | -1.974741 2.137339 -0.92 0.356 -6.165024 2.215543 + 111 | -3.479816 2.250745 -1.55 0.122 -7.892433 .932802 + | + minor | + 101 | 6.786379 5.128892 1.32 0.186 -3.268889 16.84165 + 103 | 7.567292 5.798235 1.31 0.192 -3.800232 18.93482 + 104 | 6.494722 4.912518 1.32 0.186 -3.13634 16.12578 + 105 | 14.16796 4.882259 2.90 0.004 4.596224 23.7397 + 107 | 17.28155 5.036004 3.43 0.001 7.408389 27.15471 + 108 | 13.23065 5.504044 2.40 0.016 2.439892 24.02141 + 110 | 15.44629 9.466348 1.63 0.103 -3.112625 34.0052 + 400 | 11.63035 5.490042 2.12 0.034 .8670426 22.39366 + 401 | 5.066579 5.027154 1.01 0.314 -4.78923 14.92239 + 402 | 9.328078 4.448356 2.10 0.036 .6070114 18.04914 + 403 | 12.82509 4.942235 2.59 0.009 3.135765 22.51441 + 404 | 13.3097 4.978936 2.67 0.008 3.548424 23.07098 + 405 | 16.79274 6.192159 2.71 0.007 4.65292 28.93255 + 498 | 10.87448 5.53305 1.97 0.049 .0268524 21.7221 + 499 | 13.50103 7.220187 1.87 0.062 -.6542487 27.65631 + 700 | 9.984011 4.396273 2.27 0.023 1.365053 18.60297 + 701 | 18.99749 6.585425 2.88 0.004 6.086669 31.90831 + 703 | 6.296792 4.412747 1.43 0.154 -2.354463 14.94805 + 704 | 8.322953 4.376693 1.90 0.057 -.257617 16.90352 + 705 | 17.93986 5.00827 3.58 0.000 8.121074 27.75865 + 707 | 22.92068 11.75635 1.95 0.051 -.1278176 45.96917 + 708 | 18.60997 5.687982 3.27 0.001 7.458596 29.76134 + 709 | 17.87309 4.568849 3.91 0.000 8.915791 26.83038 + 710 | 12.24777 4.481254 2.73 0.006 3.462208 21.03334 + 711 | 13.59096 5.796384 2.34 0.019 2.227062 24.95485 + 798 | 11.96507 5.449758 2.20 0.028 1.280742 22.6494 + 799 | 14.76849 6.24728 2.36 0.018 2.520606 27.01637 + 800 | 8.155556 4.867113 1.68 0.094 -1.386489 17.6976 + 801 | 5.634061 4.381737 1.29 0.199 -2.956398 14.22452 + 802 | 5.674959 4.761188 1.19 0.233 -3.659419 15.00934 + 803 | 10.45979 4.42055 2.37 0.018 1.793232 19.12634 + 805 | 3.484759 4.677507 0.75 0.456 -5.685561 12.65508 + 806 | 9.378238 4.535846 2.07 0.039 .485645 18.27083 + 807 | 14.40668 5.169089 2.79 0.005 4.272607 24.54076 + 898 | 11.65599 6.300821 1.85 0.064 -.6968563 24.00885 + 899 | 4.85772 5.499386 0.88 0.377 -5.923907 15.63935 + 1000 | 6.970614 4.769262 1.46 0.144 -2.379593 16.32082 + 1001 | 11.40763 5.63487 2.02 0.043 .3603844 22.45487 + 1002 | 8.411673 4.615314 1.82 0.068 -.6367171 17.46006 + 1003 | 10.13231 4.863104 2.08 0.037 .59812 19.66649 + 1005 | 8.227639 5.186416 1.59 0.113 -1.940405 18.39568 + 1006 | 25.60245 11.68961 2.19 0.029 2.684797 48.5201 + 1007 | 7.705513 4.254476 1.81 0.070 -.635449 16.04648 + 1010 | 6.851977 5.425567 1.26 0.207 -3.784925 17.48888 + 1098 | 1.982047 4.489167 0.44 0.659 -6.819031 10.78313 + 1099 | 19.5643 9.32048 2.10 0.036 1.291362 37.83723 + 1400 | 14.65145 5.485297 2.67 0.008 3.897443 25.40545 + 1401 | 20.39417 5.577293 3.66 0.000 9.459807 31.32853 + 1403 | 17.61085 5.362031 3.28 0.001 7.098512 28.12319 + 1404 | 9.364137 5.58705 1.68 0.094 -1.589355 20.31763 + 1405 | 5.85374 4.613055 1.27 0.205 -3.190223 14.8977 + 1406 | 18.21727 7.400278 2.46 0.014 3.70892 32.72562 + 1407 | 9.722336 6.402072 1.52 0.129 -2.829019 22.27369 + 1408 | 13.39865 7.677558 1.75 0.081 -1.653314 28.45061 + 1409 | 29.84039 8.607205 3.47 0.001 12.96584 46.71494 + 1410 | 16.38806 5.570376 2.94 0.003 5.467261 27.30887 + 1499 | 7.645824 5.364734 1.43 0.154 -2.871814 18.16346 + 1500 | 7.723741 4.729045 1.63 0.102 -1.54762 16.9951 + 1501 | 15.01858 5.015171 2.99 0.003 5.186266 24.8509 + 1502 | 19.64755 6.683804 2.94 0.003 6.54385 32.75124 + 1504 | 28.04913 11.97023 2.34 0.019 4.581325 51.51694 + 1505 | 10.44846 5.214853 2.00 0.045 .2246657 20.67226 + 1507 | 13.17675 6.599786 2.00 0.046 .2377722 26.11572 + 1520 | 12.38438 5.602389 2.21 0.027 1.400812 23.36794 + 1521 | 10.49998 4.895328 2.14 0.032 .9026177 20.09734 + 1522 | 10.47858 4.851609 2.16 0.031 .9669328 19.99023 + 1523 | 10.5273 4.47176 2.35 0.019 1.760351 19.29425 + 1524 | 23.07373 8.433396 2.74 0.006 6.539932 39.60752 + 1525 | 16.06499 5.062163 3.17 0.002 6.140541 25.98943 + 1526 | 14.03259 5.253644 2.67 0.008 3.732741 24.33243 + 1599 | 20.3694 7.982703 2.55 0.011 4.719193 36.0196 + 1600 | 9.300158 6.016624 1.55 0.122 -2.49552 21.09584 + 1602 | 13.33344 7.949547 1.68 0.094 -2.25176 28.91865 + 1603 | -24.59271 23.88348 -1.03 0.303 -71.41662 22.23121 + 1604 | 10.96864 4.956467 2.21 0.027 1.251417 20.68587 + 1605 | 18.64327 6.047348 3.08 0.002 6.78735 30.49918 + 1606 | 20.33782 10.20489 1.99 0.046 .3309755 40.34466 + 1608 | 17.27469 4.966971 3.48 0.001 7.536866 27.0125 + 1609 | 13.3993 5.789839 2.31 0.021 2.048232 24.75036 + 1610 | 13.134 5.221492 2.52 0.012 2.897188 23.37081 + 1611 | 4.96444 4.083577 1.22 0.224 -3.041472 12.97035 + 1612 | 11.88586 4.560725 2.61 0.009 2.944494 20.82723 + 1614 | 5.251109 4.791561 1.10 0.273 -4.142815 14.64503 + 1615 | 5.613436 4.189802 1.34 0.180 -2.600732 13.82761 + 1616 | .6623756 3.170885 0.21 0.835 -5.55419 6.878941 + 1617 | 6.329757 4.697627 1.35 0.178 -2.880009 15.53952 + 1619 | 7.038746 5.670417 1.24 0.215 -4.078189 18.15568 + 1620 | 4.719404 4.881552 0.97 0.334 -4.850951 14.28976 + 1698 | 1.715543 4.995438 0.34 0.731 -8.078086 11.50917 + 1699 | 35.9198 10.61031 3.39 0.001 15.11813 56.72147 + 1700 | 22.47436 7.933804 2.83 0.005 6.920025 38.0287 + 1701 | 10.82415 4.720354 2.29 0.022 1.569823 20.07847 + 1704 | 8.720554 4.790968 1.82 0.069 -.672209 18.11332 + 1705 | 3.518299 5.501089 0.64 0.522 -7.266667 14.30327 + 1706 | 15.38763 5.265106 2.92 0.003 5.065313 25.70995 + 1707 | 13.22985 5.524309 2.39 0.017 2.399363 24.06034 + 1708 | 11.63977 4.709289 2.47 0.013 2.407139 20.8724 + 1709 | 20.87413 4.860407 4.29 0.000 11.34523 30.40303 + 1798 | 30.5128 8.616411 3.54 0.000 13.6202 47.4054 + 1799 | 19.45384 9.838487 1.98 0.048 .1653436 38.74234 + 1800 | 6.285012 4.74887 1.32 0.186 -3.025216 15.59524 + 1802 | 12.95574 5.644319 2.30 0.022 1.889973 24.02151 + 1803 | 12.97687 5.029573 2.58 0.010 3.116323 22.83742 + 1804 | 6.062412 4.810377 1.26 0.208 -3.368401 15.49323 + 1806 | 12.17067 4.64939 2.62 0.009 3.055471 21.28586 + 1807 | -1.841418 4.570018 -0.40 0.687 -10.801 7.118169 + 1808 | 8.256596 8.171892 1.01 0.312 -7.764517 24.27771 + 1899 | 6.497826 9.263952 0.70 0.483 -11.66429 24.65994 + 1900 | 6.089937 4.39452 1.39 0.166 -2.525583 14.70546 + 1901 | 16.4923 4.455492 3.70 0.000 7.757244 25.22736 + 1902 | 29.36638 11.944 2.46 0.014 5.949991 52.78276 + 1905 | 26.38913 9.688133 2.72 0.006 7.395407 45.38286 + 1906 | 11.66514 4.868067 2.40 0.017 2.12122 21.20905 + 1907 | 11.41043 7.504498 1.52 0.128 -3.302249 26.12311 + 1908 | 8.62671 5.819644 1.48 0.138 -2.782788 20.03621 + 1909 | 8.374778 4.949522 1.69 0.091 -1.328832 18.07839 + 1910 | 26.68563 6.840618 3.90 0.000 13.2745 40.09677 + 1911 | 20.59302 8.349027 2.47 0.014 4.224636 36.96141 + 1912 | 2.368149 15.78986 0.15 0.881 -28.58809 33.32439 + 1914 | 11.75468 4.502377 2.61 0.009 2.927702 20.58165 + 1915 | 2.947064 4.558458 0.65 0.518 -5.98986 11.88399 + 1919 | 9.692454 4.850437 2.00 0.046 .1831009 19.20181 + 1920 | 30.78848 8.037394 3.83 0.000 15.03105 46.5459 + 1925 | 23.54976 5.447255 4.32 0.000 12.87034 34.22918 + 1926 | 13.20141 5.087387 2.59 0.009 3.227516 23.17531 + 1927 | 6.589363 4.467419 1.47 0.140 -2.169078 15.3478 + 1929 | 14.49133 5.837528 2.48 0.013 3.046773 25.93589 + 1999 | 12.81842 9.938309 1.29 0.197 -6.665779 32.30262 + 2000 | 4.136071 4.081261 1.01 0.311 -3.865299 12.13744 + 2001 | 9.742323 5.251867 1.86 0.064 -.5540397 20.03869 + 2002 | 12.90696 4.970124 2.60 0.009 3.162961 22.65096 + 2003 | 39.80673 9.405896 4.23 0.000 21.36633 58.24712 + 2004 | 15.92799 5.458825 2.92 0.004 5.225886 26.6301 + 2005 | 7.284988 5.319981 1.37 0.171 -3.144912 17.71489 + 2006 | 112.9576 13.20982 8.55 0.000 87.0596 138.8557 + 2007 | 10.50477 4.786947 2.19 0.028 1.11989 19.88965 + 2008 | 12.47307 4.448296 2.80 0.005 3.752121 21.19402 + 2009 | 10.77461 6.35815 1.69 0.090 -1.690633 23.23986 + 2010 | .9581006 4.639769 0.21 0.836 -8.138234 10.05444 + 2011 | 3.56817 4.927082 0.72 0.469 -6.091446 13.22779 + 2012 | 3.157126 5.331256 0.59 0.554 -7.294879 13.60913 + 2013 | 12.15081 4.688709 2.59 0.010 2.958525 21.34309 + 2014 | 7.552196 5.146443 1.47 0.142 -2.537481 17.64187 + 2015 | 9.202894 5.019953 1.83 0.067 -.6387969 19.04459 + 2030 | 52.34631 33.40317 1.57 0.117 -13.1411 117.8337 + 2099 | 21.58838 7.815704 2.76 0.006 6.26558 36.91118 + 2100 | 10.76885 5.73653 1.88 0.061 -.4777019 22.0154 + 2101 | 14.30056 5.082151 2.81 0.005 4.336933 24.2642 + 2102 | 9.128924 4.566632 2.00 0.046 .175976 18.08187 + 2103 | 9.38029 4.478978 2.09 0.036 .599189 18.16139 + 2104 | 5.439035 4.288919 1.27 0.205 -2.969452 13.84752 + 2105 | 13.50165 6.1823 2.18 0.029 1.381165 25.62214 + 2199 | 2.095634 5.08585 0.41 0.680 -7.875248 12.06652 + 9999 | 40.13782 9.255614 4.34 0.000 21.99206 58.28359 + | + house_administration | 11.22317 5.364768 2.09 0.036 .7054628 21.74088 + house_agriculture | 5.417081 1.322759 4.10 0.000 2.823792 8.01037 + house_appropriations | 5.935375 3.72674 1.59 0.111 -1.370954 13.2417 + house_armedservices | 2.793232 2.958495 0.94 0.345 -3.006941 8.593405 + house_budget | 6.114365 2.694394 2.27 0.023 .8319672 11.39676 + house_dc | .5630135 2.686317 0.21 0.834 -4.70355 5.829576 + house_educlabor | -1.567175 1.873565 -0.84 0.403 -5.240327 2.105977 + house_energycommerce | 5.081894 1.580527 3.22 0.001 1.983249 8.180539 + house_foreignaffairs | 6.076827 4.004268 1.52 0.129 -1.7736 13.92725 + house_governmentop | 6.433254 2.968754 2.17 0.030 .6129694 12.25354 + house_intelligence | 42.20317 31.25081 1.35 0.177 -19.0645 103.4708 + house_interior | -2.374773 2.400149 -0.99 0.323 -7.080301 2.330755 + house_judiciary | 3.369906 1.078463 3.12 0.002 1.255564 5.484249 + house_mmf | .3249408 2.304468 0.14 0.888 -4.193002 4.842884 + house_pocs | 10.25131 5.578487 1.84 0.066 -.6853991 21.18801 + house_pwt | 5.372506 2.357764 2.28 0.023 .7500746 9.994937 + house_rules | 2.975206 2.102181 1.42 0.157 -1.14615 7.096562 + house_sst | 5.826004 2.617692 2.23 0.026 .6939799 10.95803 + house_smallbusi | -2.749884 1.766818 -1.56 0.120 -6.213756 .7139884 + house_soc | 7.694529 7.219795 1.07 0.287 -6.459983 21.84904 + house_veterans | 8.890993 5.426645 1.64 0.101 -1.748024 19.53001 + house_waysandmeans | 6.517258 1.441793 4.52 0.000 3.690602 9.343914 +house_naturalresources | .8370863 1.617474 0.52 0.605 -2.333995 4.008167 + house_bfs | -1.172497 1.957816 -0.60 0.549 -5.010823 2.665829 + house_eeo | -1.482481 4.295301 -0.35 0.730 -9.903481 6.938518 + house_govreform | 3.395427 1.558296 2.18 0.029 .3403644 6.45049 + house_ir | 6.601529 2.114436 3.12 0.002 2.456146 10.74691 + house_natsecur | 2.197345 2.774837 0.79 0.428 -3.242764 7.637454 + house_oversight | 5.719778 1.92585 2.97 0.003 1.944121 9.495434 + house_resources | -1.233295 1.665174 -0.74 0.459 -4.497894 2.031303 + house_science | -2.92181 1.613484 -1.81 0.070 -6.085069 .2414485 + house_transp | 3.797001 1.817547 2.09 0.037 .233673 7.360329 + house_homeland | .7831119 2.061625 0.38 0.704 -3.258733 4.824957 + _cons | -2.196224 4.575773 -0.48 0.631 -11.16709 6.774644 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 3,038 1 0 1 1 + + +j = 4 k = 2 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6187 +----------------------+---------------------- NN matches = 3 + Number of obs | 2193 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 29.70309 50.99673 .5824509 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(6,677 missing values generated) +(54,574 missing values generated) +(47,897 real changes made) +reg numb_cosponsors sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==100 & tag_bill==1 & women_friend1==0, robust cluster(group_sponsor) +(sum of wgt is 38,311.6110142469) + +Linear regression Number of obs = 19,244 + F(197, 2225) = . + Prob > F = . + R-squared = 0.1379 + Root MSE = 35.22 + + (Std. Err. adjusted for 2,226 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 1.72962 1.152315 1.50 0.133 -.5301051 3.989345 + | + v2 | + 102 | -.9633935 3.569789 -0.27 0.787 -7.963859 6.037072 + 103 | -6.318236 3.268712 -1.93 0.053 -12.72828 .0918084 + 104 | -6.844993 3.969594 -1.72 0.085 -14.62949 .9395019 + 105 | -3.848691 3.709272 -1.04 0.300 -11.12269 3.425306 + 106 | -5.109519 3.786274 -1.35 0.177 -12.53452 2.31548 + 107 | -6.574582 3.716059 -1.77 0.077 -13.86189 .7127235 + 108 | -5.004823 3.846512 -1.30 0.193 -12.54795 2.538305 + 109 | -7.363493 3.708648 -1.99 0.047 -14.63627 -.0907192 + 110 | -6.308654 3.751517 -1.68 0.093 -13.6655 1.048187 + 111 | -9.087762 3.815518 -2.38 0.017 -16.57011 -1.605414 + | + minor | + 101 | -3.66408 4.850547 -0.76 0.450 -13.17615 5.847992 + 103 | -5.359718 4.245692 -1.26 0.207 -13.68565 2.966215 + 104 | -4.564312 5.124168 -0.89 0.373 -14.61296 5.484338 + 105 | .6288541 5.423536 0.12 0.908 -10.00687 11.26457 + 107 | 3.622309 6.315443 0.57 0.566 -8.762468 16.00709 + 108 | 10.25261 5.90037 1.74 0.082 -1.318195 21.82342 + 110 | 2.746774 9.684632 0.28 0.777 -16.24509 21.73863 + 400 | 4.29861 6.01728 0.71 0.475 -7.501462 16.09868 + 401 | -6.318359 4.736907 -1.33 0.182 -15.60758 2.970861 + 402 | -1.523835 4.516278 -0.34 0.736 -10.3804 7.332726 + 403 | .1610798 4.89797 0.03 0.974 -9.443991 9.76615 + 404 | 3.272696 6.163873 0.53 0.596 -8.814848 15.36024 + 405 | 10.65287 8.669695 1.23 0.219 -6.34867 27.65441 + 498 | -.1010351 5.66608 -0.02 0.986 -11.21239 11.01032 + 499 | -5.005333 4.413649 -1.13 0.257 -13.66063 3.64997 + 700 | .7421069 5.103929 0.15 0.884 -9.266855 10.75107 + 701 | 4.506786 4.931818 0.91 0.361 -5.16466 14.17823 + 703 | -2.842788 4.645176 -0.61 0.541 -11.95212 6.266545 + 704 | -1.313086 4.878936 -0.27 0.788 -10.88083 8.254659 + 705 | 5.340335 5.255304 1.02 0.310 -4.965479 15.64615 + 707 | 18.43863 14.00368 1.32 0.188 -9.023023 45.90028 + 708 | 4.442644 4.942686 0.90 0.369 -5.250116 14.1354 + 709 | 10.14118 5.468739 1.85 0.064 -.5831905 20.86554 + 710 | 6.413314 5.302192 1.21 0.227 -3.984447 16.81108 + 711 | 13.93031 7.543942 1.85 0.065 -.8635944 28.72421 + 798 | 4.261294 5.406928 0.79 0.431 -6.341858 14.86445 + 799 | -6.121464 4.637212 -1.32 0.187 -15.21518 2.972252 + 800 | 1.280032 5.521106 0.23 0.817 -9.547027 12.10709 + 801 | -4.854545 4.664016 -1.04 0.298 -14.00082 4.291734 + 802 | -6.204791 4.875083 -1.27 0.203 -15.76498 3.355396 + 803 | -1.439431 4.345925 -0.33 0.741 -9.961924 7.083062 + 805 | 3.665255 5.113869 0.72 0.474 -6.3632 13.69371 + 806 | -1.507166 4.429545 -0.34 0.734 -10.19364 7.179309 + 807 | 6.992256 4.948435 1.41 0.158 -2.711777 16.69629 + 898 | -2.880224 8.709144 -0.33 0.741 -19.95912 14.19868 + 899 | -.3173416 6.198674 -0.05 0.959 -12.47313 11.83845 + 1000 | -1.818324 4.896241 -0.37 0.710 -11.42 7.783355 + 1001 | -2.726232 4.454168 -0.61 0.541 -11.46099 6.008528 + 1002 | -3.500263 4.683738 -0.75 0.455 -12.68522 5.684691 + 1003 | -.1050047 4.559984 -0.02 0.982 -9.047274 8.837264 + 1005 | 4.758741 6.227358 0.76 0.445 -7.4533 16.97078 + 1006 | .9320703 5.254303 0.18 0.859 -9.37178 11.23592 + 1007 | 1.275965 4.992024 0.26 0.798 -8.513548 11.06548 + 1010 | -.4029491 5.425845 -0.07 0.941 -11.0432 10.2373 + 1098 | -8.819377 5.306624 -1.66 0.097 -19.22583 1.587076 + 1099 | 7.557999 9.362226 0.81 0.420 -10.80161 25.91761 + 1400 | 4.593661 5.115817 0.90 0.369 -5.438613 14.62593 + 1401 | 11.1111 5.117925 2.17 0.030 1.074693 21.14751 + 1403 | 11.89087 5.081471 2.34 0.019 1.925947 21.85579 + 1404 | 2.142167 7.073536 0.30 0.762 -11.72925 16.01359 + 1405 | 1.980013 4.114435 0.48 0.630 -6.088521 10.04855 + 1406 | 9.510063 6.458727 1.47 0.141 -3.155699 22.17583 + 1407 | -2.850861 8.093156 -0.35 0.725 -18.72179 13.02007 + 1408 | -3.844228 5.340776 -0.72 0.472 -14.31765 6.629198 + 1409 | 17.80787 6.232713 2.86 0.004 5.585324 30.03041 + 1410 | 5.314672 5.001504 1.06 0.288 -4.493432 15.12278 + 1499 | -2.161337 5.393349 -0.40 0.689 -12.73786 8.415186 + 1500 | -.3409426 6.042584 -0.06 0.955 -12.19064 11.50875 + 1501 | 7.066847 4.379822 1.61 0.107 -1.522117 15.65581 + 1502 | 15.48998 8.379456 1.85 0.065 -.9423924 31.92235 + 1504 | 30.29801 20.20083 1.50 0.134 -9.316434 69.91246 + 1505 | -7.181603 6.778749 -1.06 0.290 -20.47494 6.111733 + 1507 | -3.362532 4.591559 -0.73 0.464 -12.36672 5.641656 + 1520 | -1.954399 4.343165 -0.45 0.653 -10.47148 6.56268 + 1521 | -.1847949 4.186873 -0.04 0.965 -8.395382 8.025792 + 1522 | -2.416883 4.962719 -0.49 0.626 -12.14893 7.315162 + 1523 | .7136811 3.921994 0.18 0.856 -6.977469 8.404831 + 1524 | 8.680559 8.231819 1.05 0.292 -7.462291 24.82341 + 1525 | 5.644783 5.684468 0.99 0.321 -5.502634 16.7922 + 1526 | -.8170961 4.467925 -0.18 0.855 -9.578835 7.944643 + 1599 | 2.629119 5.728637 0.46 0.646 -8.604915 13.86315 + 1600 | -3.797404 4.439797 -0.86 0.392 -12.50398 4.909176 + 1602 | 8.739234 10.16483 0.86 0.390 -11.19432 28.67279 + 1603 | -68.95001 42.32987 -1.63 0.103 -151.9602 14.06017 + 1604 | -6.059618 4.594495 -1.32 0.187 -15.06956 2.950327 + 1605 | 6.091712 7.896048 0.77 0.440 -9.392682 21.5761 + 1606 | 19.26995 12.14293 1.59 0.113 -4.542701 43.08261 + 1608 | 3.390518 6.519924 0.52 0.603 -9.395254 16.17629 + 1609 | 1.40752 7.973354 0.18 0.860 -14.22847 17.04351 + 1610 | 5.39293 5.691476 0.95 0.343 -5.768229 16.55409 + 1611 | -4.760015 4.85303 -0.98 0.327 -14.27696 4.756927 + 1612 | 4.713849 5.395709 0.87 0.382 -5.867303 15.295 + 1614 | 2.833698 5.613034 0.50 0.614 -8.173634 13.84103 + 1615 | -5.819261 5.688422 -1.02 0.306 -16.97443 5.335909 + 1616 | -1.345124 4.516936 -0.30 0.766 -10.20297 7.512727 + 1617 | -5.713924 6.653644 -0.86 0.391 -18.76192 7.334076 + 1619 | 3.774287 9.264321 0.41 0.684 -14.39333 21.9419 + 1620 | -2.263092 5.107879 -0.44 0.658 -12.2798 7.753615 + 1698 | -3.612957 5.9407 -0.61 0.543 -15.26285 8.036937 + 1699 | 45.88692 17.57122 2.61 0.009 11.42923 80.34462 + 1700 | 6.029004 5.77371 1.04 0.296 -5.29342 17.35143 + 1701 | 1.140217 4.807318 0.24 0.813 -8.287081 10.56752 + 1704 | 1.09889 7.213943 0.15 0.879 -13.04787 15.24565 + 1705 | -5.162457 7.379535 -0.70 0.484 -19.63395 9.309038 + 1706 | -4.025999 4.962895 -0.81 0.417 -13.75839 5.70639 + 1707 | -3.4274 7.022672 -0.49 0.626 -17.19908 10.34428 + 1708 | 6.380078 5.695572 1.12 0.263 -4.789113 17.54927 + 1709 | 1.287509 5.445447 0.24 0.813 -9.391181 11.9662 + 1798 | 8.476575 6.749936 1.26 0.209 -4.760256 21.71341 + 1799 | 14.04858 12.44649 1.13 0.259 -10.35937 38.45653 + 1800 | -4.478372 5.493525 -0.82 0.415 -15.25134 6.294599 + 1802 | 5.900794 8.012746 0.74 0.462 -9.812447 21.61404 + 1803 | -4.936538 5.311362 -0.93 0.353 -15.35228 5.479206 + 1804 | -5.895343 5.241439 -1.12 0.261 -16.17397 4.383279 + 1806 | 2.834549 4.488366 0.63 0.528 -5.967275 11.63637 + 1807 | -9.313746 5.882782 -1.58 0.114 -20.85006 2.22257 + 1808 | 19.08337 13.60916 1.40 0.161 -7.604614 45.77135 + 1899 | -12.88889 9.366811 -1.38 0.169 -31.25749 5.479717 + 1900 | -2.789143 5.570904 -0.50 0.617 -13.71386 8.135572 + 1901 | 7.74137 7.258922 1.07 0.286 -6.4936 21.97634 + 1902 | 5.317965 7.022836 0.76 0.449 -8.454032 19.08996 + 1905 | 23.93737 8.448759 2.83 0.005 7.369089 40.50564 + 1906 | 1.432781 4.807801 0.30 0.766 -7.995464 10.86103 + 1907 | 10.06116 11.31907 0.89 0.374 -12.13589 32.25821 + 1908 | -6.283621 7.987031 -0.79 0.432 -21.94643 9.379192 + 1909 | -3.011555 6.854615 -0.44 0.660 -16.45367 10.43056 + 1910 | -2.267698 6.359303 -0.36 0.721 -14.73849 10.20309 + 1911 | 8.735968 9.347904 0.93 0.350 -9.595559 27.0675 + 1912 | -20.25284 24.36773 -0.83 0.406 -68.03871 27.53302 + 1914 | -2.490436 6.118338 -0.41 0.684 -14.48869 9.507813 + 1915 | -5.232903 5.193744 -1.01 0.314 -15.41799 4.952189 + 1919 | .552754 7.7242 0.07 0.943 -14.59464 15.70015 + 1920 | 11.90394 9.91143 1.20 0.230 -7.532682 31.34055 + 1925 | 20.14048 7.713627 2.61 0.009 5.013823 35.26714 + 1926 | 20.62718 8.998922 2.29 0.022 2.980015 38.27434 + 1927 | -4.670788 5.33994 -0.87 0.382 -15.14258 5.801 + 1929 | -5.465895 6.210096 -0.88 0.379 -17.64409 6.712294 + 1999 | 12.98938 19.74385 0.66 0.511 -25.72892 51.70769 + 2000 | -2.975071 5.245257 -0.57 0.571 -13.26118 7.311039 + 2001 | 4.175971 5.169079 0.81 0.419 -5.960752 14.31269 + 2002 | -.3169199 4.699124 -0.07 0.946 -9.532047 8.898207 + 2003 | 22.03168 7.932439 2.78 0.006 6.475921 37.58743 + 2004 | 11.77098 5.809281 2.03 0.043 .3787989 23.16316 + 2005 | -8.452682 6.278995 -1.35 0.178 -20.76598 3.86062 + 2006 | 98.10522 14.20671 6.91 0.000 70.24542 125.965 + 2007 | -.4534989 4.562483 -0.10 0.921 -9.400668 8.49367 + 2008 | 2.923323 4.604712 0.63 0.526 -6.106658 11.9533 + 2009 | 7.589064 9.435608 0.80 0.421 -10.91445 26.09258 + 2010 | -10.02148 4.33634 -2.31 0.021 -18.52518 -1.517788 + 2011 | -10.76211 6.240092 -1.72 0.085 -22.99913 1.474898 + 2012 | -8.299992 7.008563 -1.18 0.236 -22.044 5.444015 + 2013 | 5.136287 5.246754 0.98 0.328 -5.152759 15.42533 + 2014 | .1981591 7.083242 0.03 0.978 -13.6923 14.08862 + 2015 | 1.858486 5.435799 0.34 0.732 -8.801282 12.51825 + 2030 | 18.0646 13.44981 1.34 0.179 -8.310899 44.44009 + 2099 | 12.78712 10.0682 1.27 0.204 -6.956929 32.53117 + 2100 | 1.564368 11.09027 0.14 0.888 -20.18399 23.31273 + 2101 | 7.080812 6.71897 1.05 0.292 -6.095294 20.25692 + 2102 | 1.060134 4.510123 0.24 0.814 -7.784356 9.904624 + 2103 | 4.370109 5.005186 0.87 0.383 -5.445214 14.18543 + 2104 | -2.986996 4.487965 -0.67 0.506 -11.78803 5.814042 + 2105 | -.6340695 6.398829 -0.10 0.921 -13.18237 11.91423 + 2199 | -11.09522 4.792283 -2.32 0.021 -20.49303 -1.697402 + 9999 | 40.02335 10.32123 3.88 0.000 19.78311 60.2636 + | + house_administration | 19.65823 9.341179 2.10 0.035 1.339888 37.97657 + house_agriculture | 4.012447 1.783836 2.25 0.025 .5142892 7.510605 + house_appropriations | .1252413 9.038682 0.01 0.989 -17.59989 17.85038 + house_armedservices | -.1293655 4.305209 -0.03 0.976 -8.572013 8.313282 + house_budget | 1.891933 3.173577 0.60 0.551 -4.33155 8.115416 + house_dc | -4.844007 6.128814 -0.79 0.429 -16.8628 7.174785 + house_educlabor | -2.077471 3.141941 -0.66 0.509 -8.238915 4.083972 + house_energycommerce | 7.117293 2.401605 2.96 0.003 2.407672 11.82691 + house_foreignaffairs | 11.94413 4.885008 2.45 0.015 2.364483 21.52378 + house_governmentop | -.5823847 4.702849 -0.12 0.901 -9.804817 8.640047 + house_intelligence | 71.22785 46.6105 1.53 0.127 -20.17677 162.6325 + house_interior | -7.929195 4.444036 -1.78 0.075 -16.64409 .785697 + house_judiciary | 3.854496 1.347224 2.86 0.004 1.21255 6.496443 + house_mmf | -1.953762 3.762929 -0.52 0.604 -9.332981 5.425457 + house_pocs | -.3257379 7.580634 -0.04 0.966 -15.19159 14.54012 + house_pwt | -.57499 1.844998 -0.31 0.755 -4.193089 3.043108 + house_rules | 5.01475 3.513636 1.43 0.154 -1.875598 11.9051 + house_sst | 1.94943 2.263698 0.86 0.389 -2.489752 6.388611 + house_smallbusi | -1.029396 2.236827 -0.46 0.645 -5.415882 3.35709 + house_soc | 6.409273 12.05767 0.53 0.595 -17.23619 30.05474 + house_veterans | 12.67143 9.12472 1.39 0.165 -5.222428 30.56528 + house_waysandmeans | 6.567979 2.218074 2.96 0.003 2.218268 10.91769 +house_naturalresources | -.5766252 2.659862 -0.22 0.828 -5.792697 4.639446 + house_bfs | -4.103884 4.413549 -0.93 0.353 -12.75899 4.551221 + house_eeo | -.9873038 3.783952 -0.26 0.794 -8.40775 6.433143 + house_govreform | 8.37213 2.434337 3.44 0.001 3.598321 13.14594 + house_ir | 8.64473 3.12074 2.77 0.006 2.524863 14.7646 + house_natsecur | 1.815592 3.869782 0.47 0.639 -5.773169 9.404354 + house_oversight | 1.629879 2.596191 0.63 0.530 -3.461331 6.721089 + house_resources | 1.73221 3.403634 0.51 0.611 -4.942421 8.406842 + house_science | -.7754744 1.761529 -0.44 0.660 -4.229888 2.678939 + house_transp | 4.426154 3.090386 1.43 0.152 -1.634187 10.4865 + house_homeland | 3.763007 2.869898 1.31 0.190 -1.864951 9.390965 + _cons | 11.74602 5.049742 2.33 0.020 1.843321 21.64872 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,540 1 0 1 1 + + +j = 4 k = 3 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 13.03771 22.75762 .5728944 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(6,677 missing values generated) +(54,574 missing values generated) +(47,897 real changes made) +reg numb_cosponsors sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==200 & tag_bill==1 & women_friend1==0, robust cluster(group_sponsor) +(sum of wgt is 34,345.1966582537) + +Linear regression Number of obs = 18,278 + F(197, 2081) = 10.49 + Prob > F = 0.0000 + R-squared = 0.1828 + Root MSE = 32.045 + + (Std. Err. adjusted for 2,082 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 2.093897 .9983852 2.10 0.036 .1359595 4.051835 + | + v2 | + 102 | -2.021101 1.853222 -1.09 0.276 -5.655463 1.613261 + 103 | -3.143615 1.690301 -1.86 0.063 -6.458472 .1712419 + 104 | 1.01893 2.042994 0.50 0.618 -2.987595 5.025455 + 105 | 2.261815 1.774771 1.27 0.203 -1.218696 5.742326 + 106 | 5.192978 2.180795 2.38 0.017 .916211 9.469745 + 107 | 2.406266 1.726347 1.39 0.164 -.9792804 5.791812 + 108 | 3.847849 2.680252 1.44 0.151 -1.408406 9.104104 + 109 | .3826124 1.732659 0.22 0.825 -3.015314 3.780539 + 110 | -2.990999 1.74918 -1.71 0.087 -6.421325 .4393264 + 111 | -2.559591 2.104664 -1.22 0.224 -6.687058 1.567875 + | + minor | + 101 | 3.685468 6.916541 0.53 0.594 -9.878592 17.24953 + 103 | 16.75995 14.73169 1.14 0.255 -12.13043 45.65033 + 104 | 2.809721 5.744594 0.49 0.625 -8.456029 14.07547 + 105 | 11.67861 6.514963 1.79 0.073 -1.097916 24.45513 + 107 | 16.9661 5.356948 3.17 0.002 6.460566 27.47164 + 108 | 4.231754 4.89979 0.86 0.388 -5.377248 13.84075 + 110 | 16.37671 16.04557 1.02 0.308 -15.09034 47.84375 + 400 | 3.553883 5.38216 0.66 0.509 -7.001097 14.10886 + 401 | 7.97896 7.243915 1.10 0.271 -6.227115 22.18504 + 402 | 9.074182 5.062773 1.79 0.073 -.8544449 19.00281 + 403 | 23.74088 7.735004 3.07 0.002 8.571727 38.91003 + 404 | 8.876281 4.915459 1.81 0.071 -.7634477 18.51601 + 405 | 5.354328 6.329591 0.85 0.398 -7.058662 17.76732 + 498 | 12.5206 8.537661 1.47 0.143 -4.222647 29.26385 + 499 | 17.74095 11.59634 1.53 0.126 -5.000684 40.48258 + 700 | 4.317772 4.849797 0.89 0.373 -5.193187 13.82873 + 701 | 19.32347 10.74171 1.80 0.072 -1.742143 40.38909 + 703 | 2.151381 4.713863 0.46 0.648 -7.092998 11.39576 + 704 | 4.114652 4.987989 0.82 0.410 -5.667315 13.89662 + 705 | 17.8605 7.4632 2.39 0.017 3.224386 32.49662 + 707 | 7.934576 6.736112 1.18 0.239 -5.275644 21.1448 + 708 | 22.02372 9.246638 2.38 0.017 3.890098 40.15735 + 709 | 13.88474 5.326856 2.61 0.009 3.438214 24.33126 + 710 | 4.220335 4.798827 0.88 0.379 -5.190668 13.63134 + 711 | 4.375588 4.726162 0.93 0.355 -4.892909 13.64409 + 798 | 4.749996 6.471483 0.73 0.463 -7.94126 17.44125 + 799 | 14.41198 6.183427 2.33 0.020 2.28563 26.53832 + 800 | -.3284424 5.152946 -0.06 0.949 -10.43391 9.777023 + 801 | 2.197748 5.287466 0.42 0.678 -8.171526 12.56702 + 802 | 2.92479 5.243112 0.56 0.577 -7.3575 13.20708 + 803 | 8.247505 4.997219 1.65 0.099 -1.552565 18.04757 + 805 | -.8178416 4.879195 -0.17 0.867 -10.38645 8.75077 + 806 | 5.592618 5.054824 1.11 0.269 -4.320422 15.50566 + 807 | 8.09046 5.03512 1.61 0.108 -1.783937 17.96486 + 898 | 8.276657 5.554059 1.49 0.136 -2.615434 19.16875 + 899 | -.4461214 5.773989 -0.08 0.938 -11.76952 10.87728 + 1000 | 1.960891 5.779113 0.34 0.734 -9.372553 13.29434 + 1001 | 9.562507 5.807373 1.65 0.100 -1.826359 20.95137 + 1002 | 8.253529 5.404021 1.53 0.127 -2.344323 18.85138 + 1003 | 8.762786 5.79966 1.51 0.131 -2.610954 20.13653 + 1005 | 2.006434 5.313442 0.38 0.706 -8.413782 12.42665 + 1006 | 15.26333 6.795433 2.25 0.025 1.936779 28.58989 + 1007 | 2.644997 4.641641 0.57 0.569 -6.457746 11.74774 + 1010 | 3.423271 5.99247 0.57 0.568 -8.328588 15.17513 + 1098 | -2.064626 4.798162 -0.43 0.667 -11.47432 7.345072 + 1099 | 13.51935 12.53449 1.08 0.281 -11.0621 38.1008 + 1400 | 11.45357 6.153092 1.86 0.063 -.6132873 23.52043 + 1401 | 18.56125 7.219907 2.57 0.010 4.402259 32.72025 + 1403 | 4.752586 6.393385 0.74 0.457 -7.785512 17.29068 + 1404 | 2.739255 5.494772 0.50 0.618 -8.036567 13.51508 + 1405 | 2.208063 5.139443 0.43 0.668 -7.870922 12.28705 + 1406 | 11.8777 9.622744 1.23 0.217 -6.993509 30.74891 + 1407 | 10.11817 6.743807 1.50 0.134 -3.107141 23.34348 + 1408 | 40.57745 26.52565 1.53 0.126 -11.44213 92.59704 + 1409 | 29.07516 12.69537 2.29 0.022 4.178219 53.97211 + 1410 | 15.22348 5.93686 2.56 0.010 3.580675 26.86628 + 1499 | 4.513516 6.363174 0.71 0.478 -7.965333 16.99237 + 1500 | 7.610153 6.780248 1.12 0.262 -5.686622 20.90693 + 1501 | 8.802505 5.059709 1.74 0.082 -1.120113 18.72512 + 1502 | 6.958474 5.217624 1.33 0.182 -3.273832 17.19078 + 1504 | 12.64698 6.174236 2.05 0.041 .5386536 24.7553 + 1505 | 10.73625 5.501956 1.95 0.051 -.0536617 21.52616 + 1507 | 23.03847 15.04059 1.53 0.126 -6.457695 52.53464 + 1520 | 18.49206 14.64555 1.26 0.207 -10.22939 47.21351 + 1521 | 6.617324 4.763173 1.39 0.165 -2.723757 15.9584 + 1522 | 9.096299 5.924995 1.54 0.125 -2.523237 20.71583 + 1523 | 7.290138 4.801583 1.52 0.129 -2.126269 16.70654 + 1524 | 35.37385 18.15062 1.95 0.051 -.2214027 70.96911 + 1525 | 11.00787 5.807803 1.90 0.058 -.381843 22.39757 + 1526 | 16.68791 6.921645 2.41 0.016 3.113841 30.26198 + 1599 | 39.10876 24.74401 1.58 0.114 -9.416836 87.63436 + 1600 | 19.35004 17.40176 1.11 0.266 -14.77663 53.47672 + 1602 | 11.64948 11.88749 0.98 0.327 -11.66314 34.96209 + 1603 | 8.875923 9.063767 0.98 0.328 -8.899073 26.65092 + 1604 | 15.18661 6.419461 2.37 0.018 2.59738 27.77585 + 1605 | 17.5609 7.291945 2.41 0.016 3.260634 31.86117 + 1606 | 2.997895 6.229774 0.48 0.630 -9.219344 15.21513 + 1608 | 16.04965 5.989196 2.68 0.007 4.304208 27.79509 + 1609 | 14.1241 5.605396 2.52 0.012 3.13133 25.11686 + 1610 | 8.818656 9.977457 0.88 0.377 -10.74818 28.38549 + 1611 | 3.000748 5.92358 0.51 0.613 -8.616013 14.61751 + 1612 | 7.488024 5.927242 1.26 0.207 -4.135917 19.11197 + 1614 | -4.246092 5.166465 -0.82 0.411 -14.37807 5.885886 + 1615 | 3.832457 5.205553 0.74 0.462 -6.376178 14.04109 + 1616 | -6.353925 4.674526 -1.36 0.174 -15.52116 2.813308 + 1617 | 12.51751 6.916815 1.81 0.070 -1.047083 26.08211 + 1619 | .5150522 7.444794 0.07 0.945 -14.08497 15.11507 + 1620 | .5378107 5.085814 0.11 0.916 -9.436003 10.51162 + 1698 | -6.949751 5.854888 -1.19 0.235 -18.4318 4.532296 + 1699 | 14.52616 6.847451 2.12 0.034 1.097591 27.95473 + 1700 | 26.64739 14.36669 1.85 0.064 -1.527179 54.82197 + 1701 | 6.914413 5.314403 1.30 0.193 -3.507688 17.33651 + 1704 | 3.147419 5.155474 0.61 0.542 -6.963005 13.25784 + 1705 | -2.654709 6.163094 -0.43 0.667 -14.74118 9.431762 + 1706 | 17.23668 6.18908 2.79 0.005 5.099249 29.37411 + 1707 | 19.65631 6.496634 3.03 0.003 6.915731 32.39689 + 1708 | 5.119629 4.75043 1.08 0.281 -4.196462 14.43572 + 1709 | 22.87356 6.297936 3.63 0.000 10.52265 35.22448 + 1798 | 27.17544 11.01009 2.47 0.014 5.583503 48.76739 + 1799 | 3.160881 5.332084 0.59 0.553 -7.295893 13.61766 + 1800 | -.9231115 4.988564 -0.19 0.853 -10.70621 8.859984 + 1802 | -.5097299 4.871751 -0.10 0.917 -10.06374 9.044283 + 1803 | 18.69308 9.519417 1.96 0.050 .0245042 37.36165 + 1804 | 3.123505 5.150292 0.61 0.544 -6.976756 13.22377 + 1806 | 1.231072 4.563006 0.27 0.787 -7.71746 10.17961 + 1807 | -7.878667 4.634097 -1.70 0.089 -16.96662 1.209283 + 1808 | -6.493019 5.414202 -1.20 0.231 -17.11083 4.124797 + 1899 | 10.95249 13.78464 0.79 0.427 -16.08063 37.98562 + 1900 | 2.299131 5.596544 0.41 0.681 -8.676278 13.27454 + 1901 | 9.967233 5.379518 1.85 0.064 -.582565 20.51703 + 1902 | 33.22727 14.46047 2.30 0.022 4.868773 61.58577 + 1905 | 14.04517 9.374978 1.50 0.134 -4.340142 32.43048 + 1906 | 6.686602 5.200988 1.29 0.199 -3.513079 16.88628 + 1907 | 5.341901 7.590419 0.70 0.482 -9.543705 20.22751 + 1908 | 6.587449 7.640263 0.86 0.389 -8.395906 21.5708 + 1909 | 4.690067 5.817563 0.81 0.420 -6.718782 16.09892 + 1910 | 27.90086 7.725191 3.61 0.000 12.75095 43.05076 + 1911 | 8.553762 6.461047 1.32 0.186 -4.117028 21.22455 + 1912 | -1.860306 4.658978 -0.40 0.690 -10.99705 7.276438 + 1914 | 8.417897 5.599175 1.50 0.133 -2.562671 19.39847 + 1915 | -3.536515 5.141451 -0.69 0.492 -13.61944 6.546409 + 1919 | 7.537496 5.34684 1.41 0.159 -2.948217 18.02321 + 1920 | 40.252 11.83786 3.40 0.001 17.03673 63.46728 + 1925 | 20.87562 6.351103 3.29 0.001 8.420438 33.33079 + 1926 | 14.88079 6.026849 2.47 0.014 3.061508 26.70007 + 1927 | 9.01229 5.838919 1.54 0.123 -2.438442 20.46302 + 1929 | 20.46253 7.776762 2.63 0.009 5.211484 35.71357 + 1999 | 3.177297 6.355219 0.50 0.617 -9.285952 15.64055 + 2000 | 1.324432 4.86115 0.27 0.785 -8.208792 10.85766 + 2001 | 3.255859 4.909237 0.66 0.507 -6.371667 12.88339 + 2002 | 13.92232 6.274556 2.22 0.027 1.617262 26.22738 + 2003 | 32.67348 12.42573 2.63 0.009 8.305314 57.04164 + 2004 | 5.542246 5.170951 1.07 0.284 -4.598531 15.68302 + 2005 | 3.866592 6.487555 0.60 0.551 -8.856182 16.58937 + 2006 | 117.2867 25.45745 4.61 0.000 67.36201 167.2115 + 2007 | 10.29574 8.156293 1.26 0.207 -5.6996 26.29109 + 2008 | 11.9247 5.170746 2.31 0.021 1.784327 22.06508 + 2009 | 4.807339 7.257554 0.66 0.508 -9.425484 19.04016 + 2011 | 6.045621 4.721984 1.28 0.201 -3.214683 15.30593 + 2012 | 3.431892 4.968143 0.69 0.490 -6.311157 13.17494 + 2013 | 6.283873 5.64889 1.11 0.266 -4.79419 17.36194 + 2014 | 5.236606 5.590976 0.94 0.349 -5.727883 16.20109 + 2015 | 4.256595 6.167495 0.69 0.490 -7.838508 16.3517 + 2030 | 50.02012 32.05387 1.56 0.119 -12.84087 112.8811 + 2099 | 18.88929 9.478382 1.99 0.046 .3011896 37.47739 + 2100 | 5.571566 5.381118 1.04 0.301 -4.981368 16.1245 + 2101 | 9.078703 4.743947 1.91 0.056 -.2246735 18.38208 + 2102 | 3.713295 4.71753 0.79 0.431 -5.538274 12.96486 + 2103 | 3.285257 4.728632 0.69 0.487 -5.988084 12.5586 + 2104 | 1.870525 4.6104 0.41 0.685 -7.170953 10.912 + 2105 | 12.62959 7.863487 1.61 0.108 -2.791533 28.05071 + 2199 | 3.166151 5.52393 0.57 0.567 -7.666854 13.99916 + 9999 | 25.31912 13.11407 1.93 0.054 -.3989483 51.03719 + | + house_administration | 1.270834 2.610679 0.49 0.626 -3.848981 6.390649 + house_agriculture | 5.790353 1.565014 3.70 0.000 2.721197 8.85951 + house_appropriations | 7.121511 3.667835 1.94 0.052 -.0714975 14.31452 + house_armedservices | 5.678025 4.102986 1.38 0.167 -2.36836 13.72441 + house_budget | 7.879461 4.092978 1.93 0.054 -.1472967 15.90622 + house_dc | 3.175852 3.192243 0.99 0.320 -3.084471 9.436175 + house_educlabor | -3.776176 2.243184 -1.68 0.092 -8.175294 .6229414 + house_energycommerce | 3.947 1.489274 2.65 0.008 1.026378 6.867621 + house_foreignaffairs | 1.998014 2.61819 0.76 0.445 -3.136531 7.13256 + house_governmentop | 12.86233 3.595452 3.58 0.000 5.811274 19.91339 + house_intelligence | 5.658028 8.567476 0.66 0.509 -11.14369 22.45975 + house_interior | -.1199921 2.210204 -0.05 0.957 -4.454434 4.214449 + house_judiciary | 3.604464 1.700229 2.12 0.034 .2701377 6.938791 + house_mmf | 3.234324 2.263458 1.43 0.153 -1.204554 7.673202 + house_pocs | 13.949 6.054255 2.30 0.021 2.075973 25.82203 + house_pwt | 4.429217 2.488704 1.78 0.075 -.4513907 9.309826 + house_rules | 4.460126 2.75263 1.62 0.105 -.9380694 9.858322 + house_sst | 8.908512 4.557483 1.95 0.051 -.029188 17.84621 + house_smallbusi | -2.677367 2.745693 -0.98 0.330 -8.061959 2.707225 + house_soc | -2.834633 4.158133 -0.68 0.495 -10.98917 5.319901 + house_veterans | 3.23094 3.569523 0.91 0.365 -3.769268 10.23115 + house_waysandmeans | 8.791371 3.121319 2.82 0.005 2.670137 14.9126 +house_naturalresources | 4.448984 2.227637 2.00 0.046 .0803546 8.817614 + house_bfs | 1.752955 2.242149 0.78 0.434 -2.644133 6.150044 + house_eeo | 3.218369 8.110563 0.40 0.692 -12.68729 19.12403 + house_govreform | .3791867 1.915448 0.20 0.843 -3.377208 4.135581 + house_ir | 4.046117 2.189731 1.85 0.065 -.2481744 8.340409 + house_natsecur | 4.700316 4.446932 1.06 0.291 -4.020582 13.42121 + house_oversight | 7.721625 2.247976 3.43 0.001 3.313109 12.13014 + house_resources | -1.601077 1.422193 -1.13 0.260 -4.390146 1.187991 + house_science | -2.649776 2.772432 -0.96 0.339 -8.086805 2.787253 + house_transp | 4.050752 1.565071 2.59 0.010 .9814831 7.12002 + house_homeland | .225702 2.577713 0.09 0.930 -4.829463 5.280867 + _cons | -1.554929 4.980028 -0.31 0.755 -11.32128 8.211426 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,496 1 0 1 1 + + +j = 5 k = 1 + + +rdbwselect_2014 numb_cosponsors MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11990 +----------------------+---------------------- NN matches = 3 + Number of obs | 6151 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 25.22792 46.13311 .5468506 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(7,341 missing values generated) +(54,749 missing values generated) +(47,408 real changes made) +reg numb_cosponsors sponsor_female i.v2 i.minor house_* [aw=wt] if tag_bill==1 & women_friend1==0, robust cluster(group_sponsor) +(sum of wgt is 70,500.9534721375) + +Linear regression Number of obs = 37,035 + F(197, 4266) = . + Prob > F = . + R-squared = 0.1157 + Root MSE = 31.763 + + (Std. Err. adjusted for 4,267 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -.5033669 .7901236 -0.64 0.524 -2.05242 1.045686 + | + v2 | + 102 | -2.703875 2.09395 -1.29 0.197 -6.809106 1.401357 + 103 | -3.701919 1.759956 -2.10 0.035 -7.152349 -.2514896 + 104 | -.8482451 2.118323 -0.40 0.689 -5.001261 3.304771 + 105 | -.4073414 2.001951 -0.20 0.839 -4.332207 3.517524 + 106 | .7277751 2.038146 0.36 0.721 -3.268052 4.723602 + 107 | -.7148274 1.916319 -0.37 0.709 -4.471809 3.042155 + 108 | .5175163 2.031755 0.25 0.799 -3.465781 4.500814 + 109 | -1.220942 1.842866 -0.66 0.508 -4.833917 2.392033 + 110 | -1.20778 2.050567 -0.59 0.556 -5.227958 2.812399 + 111 | -3.592894 2.734746 -1.31 0.189 -8.954419 1.768631 + | + minor | + 101 | 4.248332 4.348052 0.98 0.329 -4.276113 12.77278 + 103 | 1.72288 5.317145 0.32 0.746 -8.701489 12.14725 + 104 | 7.98407 3.702058 2.16 0.031 .7261104 15.24203 + 105 | 15.96025 5.417331 2.95 0.003 5.339463 26.58104 + 107 | 15.28567 3.844349 3.98 0.000 7.748749 22.8226 + 108 | 13.15966 4.493001 2.93 0.003 4.351037 21.96827 + 110 | 19.59804 12.59307 1.56 0.120 -5.090922 44.28701 + 400 | 11.84685 5.676028 2.09 0.037 .7188874 22.97482 + 401 | 5.606876 3.981453 1.41 0.159 -2.198844 13.4126 + 402 | 9.692037 3.250384 2.98 0.003 3.319593 16.06448 + 403 | 13.47898 3.749928 3.59 0.000 6.127171 20.83079 + 404 | 12.33467 3.883351 3.18 0.002 4.721287 19.94806 + 405 | 19.22434 5.370978 3.58 0.000 8.694429 29.75425 + 498 | 11.56558 4.82591 2.40 0.017 2.104291 21.02688 + 499 | 13.44153 6.204571 2.17 0.030 1.27734 25.60571 + 700 | 9.609363 3.268104 2.94 0.003 3.202179 16.01655 + 701 | 15.44958 5.046252 3.06 0.002 5.556298 25.34286 + 703 | 7.392923 3.222724 2.29 0.022 1.074706 13.71114 + 704 | 7.35152 3.149105 2.33 0.020 1.177636 13.5254 + 705 | 13.11406 3.606713 3.64 0.000 6.043028 20.18509 + 707 | 16.51909 8.99302 1.84 0.066 -1.111912 34.15008 + 708 | 16.6484 4.113421 4.05 0.000 8.583954 24.71284 + 709 | 15.8612 3.542521 4.48 0.000 8.916014 22.80638 + 710 | 10.58148 3.231068 3.27 0.001 4.246909 16.91606 + 711 | 14.67457 4.236199 3.46 0.001 6.369416 22.97972 + 798 | 11.48295 3.993179 2.88 0.004 3.654242 19.31166 + 799 | 13.36253 5.416808 2.47 0.014 2.74277 23.98229 + 800 | 8.884457 4.029116 2.21 0.028 .9852946 16.78362 + 801 | 4.857859 3.242061 1.50 0.134 -1.498268 11.21399 + 802 | 6.182476 3.531934 1.75 0.080 -.7419524 13.1069 + 803 | 9.686106 3.20187 3.03 0.002 3.408775 15.96344 + 805 | 2.958866 3.37555 0.88 0.381 -3.658967 9.5767 + 806 | 8.656647 3.312124 2.61 0.009 2.16316 15.15013 + 807 | 10.78638 3.659632 2.95 0.003 3.611596 17.96116 + 898 | 11.35074 4.943424 2.30 0.022 1.659056 21.04242 + 899 | 4.691447 4.384676 1.07 0.285 -3.904799 13.28769 + 1000 | 4.928513 3.658112 1.35 0.178 -2.243289 12.10031 + 1001 | 5.52859 3.398628 1.63 0.104 -1.134488 12.19167 + 1002 | 7.116861 3.729843 1.91 0.056 -.1955719 14.42929 + 1003 | 8.432881 3.80982 2.21 0.027 .9636526 15.90211 + 1005 | 5.790554 4.053071 1.43 0.153 -2.155574 13.73668 + 1006 | 37.7362 16.21727 2.33 0.020 5.941918 69.53049 + 1007 | 6.895564 2.949873 2.34 0.019 1.112279 12.67885 + 1010 | 8.777931 5.013543 1.75 0.080 -1.051222 18.60708 + 1098 | .4015148 3.251795 0.12 0.902 -5.973695 6.776725 + 1099 | 14.25096 9.871594 1.44 0.149 -5.102497 33.60442 + 1400 | 14.08887 4.377414 3.22 0.001 5.506859 22.67088 + 1401 | 19.1735 4.577379 4.19 0.000 10.19945 28.14754 + 1403 | 15.45699 4.785941 3.23 0.001 6.07406 24.83993 + 1404 | 8.43645 4.634914 1.82 0.069 -.6503938 17.52329 + 1405 | 5.188793 3.398248 1.53 0.127 -1.473541 11.85113 + 1406 | 13.02274 5.212099 2.50 0.013 2.804319 23.24117 + 1407 | 4.461039 5.656413 0.79 0.430 -6.628472 15.55055 + 1408 | 19.5049 12.24036 1.59 0.111 -4.492581 43.50238 + 1409 | 26.28045 9.992161 2.63 0.009 6.690616 45.87029 + 1410 | 15.59178 4.57843 3.41 0.001 6.615675 24.56788 + 1499 | 6.32162 4.212343 1.50 0.133 -1.936763 14.58 + 1500 | 7.416477 3.932853 1.89 0.059 -.2939608 15.12692 + 1501 | 13.78461 4.053861 3.40 0.001 5.836934 21.73229 + 1502 | 15.38326 4.825623 3.19 0.001 5.922527 24.84399 + 1504 | 22.18388 7.660753 2.90 0.004 7.164821 37.20295 + 1505 | 12.13425 4.378869 2.77 0.006 3.549386 20.71911 + 1507 | 3.354668 4.51276 0.74 0.457 -5.492689 12.20202 + 1520 | 14.34363 6.762872 2.12 0.034 1.084878 27.60237 + 1521 | 10.69205 3.608266 2.96 0.003 3.617971 17.76613 + 1522 | 6.899539 3.833063 1.80 0.072 -.6152575 14.41434 + 1523 | 6.365874 3.671965 1.73 0.083 -.8330877 13.56484 + 1524 | 23.04489 8.31092 2.77 0.006 6.751159 39.33861 + 1525 | 15.89874 3.803806 4.18 0.000 8.441297 23.35618 + 1526 | 10.22363 4.2025 2.43 0.015 1.984547 18.46272 + 1599 | 25.25649 11.32881 2.23 0.026 3.046127 47.46685 + 1600 | 6.4572 3.658651 1.76 0.078 -.7156595 13.63006 + 1602 | 18.01094 6.983224 2.58 0.010 4.320188 31.70169 + 1603 | -7.52061 12.25826 -0.61 0.540 -31.55317 16.51195 + 1604 | 11.17977 4.094983 2.73 0.006 3.151477 19.20807 + 1605 | 17.93189 4.580046 3.92 0.000 8.952615 26.91116 + 1606 | 19.8107 8.730062 2.27 0.023 2.695238 36.92617 + 1608 | 16.98305 6.447566 2.63 0.008 4.342465 29.62363 + 1609 | 11.46926 5.780785 1.98 0.047 .1359134 22.80261 + 1610 | 12.27374 3.968256 3.09 0.002 4.493891 20.05358 + 1611 | 4.418151 3.185801 1.39 0.166 -1.827677 10.66398 + 1612 | 13.33712 3.816024 3.50 0.000 5.855729 20.81851 + 1614 | 8.650602 4.018532 2.15 0.031 .7721894 16.52902 + 1615 | 5.258674 3.314716 1.59 0.113 -1.239894 11.75724 + 1616 | 3.528743 4.789139 0.74 0.461 -5.860461 12.91795 + 1617 | 3.706082 3.511503 1.06 0.291 -3.17829 10.59045 + 1619 | 7.0194 4.1362 1.70 0.090 -1.089704 15.1285 + 1620 | 2.523871 4.434642 0.57 0.569 -6.170334 11.21808 + 1698 | 2.540235 3.649741 0.70 0.486 -4.615156 9.695626 + 1699 | 40.68075 10.34457 3.93 0.000 20.40002 60.96148 + 1700 | 15.61161 5.22159 2.99 0.003 5.374583 25.84865 + 1701 | 7.367752 3.408933 2.16 0.031 .6844696 14.05103 + 1704 | 7.034758 3.360952 2.09 0.036 .4455441 13.62397 + 1705 | 1.999762 5.643418 0.35 0.723 -9.064273 13.0638 + 1706 | 16.2822 4.569004 3.56 0.000 7.324572 25.23982 + 1707 | 13.11979 4.149365 3.16 0.002 4.984874 21.2547 + 1708 | 9.734858 3.542666 2.75 0.006 2.789389 16.68033 + 1709 | 19.14049 4.298539 4.45 0.000 10.71312 27.56786 + 1798 | 24.42234 6.629046 3.68 0.000 11.42596 37.41872 + 1799 | 13.25191 7.781489 1.70 0.089 -2.003853 28.50768 + 1800 | 7.573601 3.802633 1.99 0.046 .1184622 15.02874 + 1802 | 12.60552 4.693735 2.69 0.007 3.40336 21.80769 + 1803 | 14.96721 4.008316 3.73 0.000 7.108824 22.82559 + 1804 | 7.004333 3.836417 1.83 0.068 -.5170394 14.52571 + 1806 | 9.91687 3.826268 2.59 0.010 2.415394 17.41835 + 1807 | -1.913796 3.268451 -0.59 0.558 -8.321661 4.494068 + 1808 | 13.16822 8.463076 1.56 0.120 -3.423808 29.76026 + 1899 | 3.311827 8.732019 0.38 0.705 -13.80747 20.43113 + 1900 | 6.412502 3.630835 1.77 0.077 -.7058242 13.53083 + 1901 | 13.94941 3.498457 3.99 0.000 7.090611 20.8082 + 1902 | 19.54599 7.773621 2.51 0.012 4.305645 34.78633 + 1905 | 22.29547 10.28597 2.17 0.030 2.129624 42.46131 + 1906 | 11.78445 3.648966 3.23 0.001 4.630579 18.93832 + 1907 | 5.915387 5.483783 1.08 0.281 -4.83568 16.66645 + 1908 | 11.17953 5.491529 2.04 0.042 .4132711 21.94578 + 1909 | 9.616669 4.494336 2.14 0.032 .8054326 18.42791 + 1910 | 21.9135 6.403949 3.42 0.001 9.358434 34.46858 + 1911 | 14.85154 5.429396 2.74 0.006 4.2071 25.49598 + 1912 | 6.927723 10.94763 0.63 0.527 -14.53532 28.39077 + 1914 | 11.2576 3.633088 3.10 0.002 4.134855 18.38034 + 1915 | 2.446561 3.562445 0.69 0.492 -4.537686 9.430807 + 1919 | 10.61709 3.922808 2.71 0.007 2.926344 18.30783 + 1920 | 33.74168 6.50267 5.19 0.000 20.99306 46.4903 + 1925 | 22.68736 6.843586 3.32 0.001 9.270369 36.10435 + 1926 | 10.29638 4.037201 2.55 0.011 2.381365 18.21139 + 1927 | 4.026917 3.549854 1.13 0.257 -2.932644 10.98648 + 1929 | 12.08542 4.540168 2.66 0.008 3.184327 20.98651 + 1999 | 9.511343 9.303919 1.02 0.307 -8.729178 27.75186 + 2000 | 4.197825 3.262021 1.29 0.198 -2.197432 10.59308 + 2001 | 11.49124 4.329161 2.65 0.008 3.003834 19.97865 + 2002 | 8.972598 3.58289 2.50 0.012 1.948269 15.99693 + 2003 | 39.28097 10.65668 3.69 0.000 18.38832 60.17361 + 2004 | 12.70209 4.581665 2.77 0.006 3.719639 21.68453 + 2005 | 5.694563 4.196894 1.36 0.175 -2.533532 13.92266 + 2006 | 80.67847 13.06322 6.18 0.000 55.06776 106.2892 + 2007 | 9.216022 5.86698 1.57 0.116 -2.28631 20.71835 + 2008 | 9.413554 3.360093 2.80 0.005 2.826024 16.00108 + 2009 | 13.51111 6.111091 2.21 0.027 1.530195 25.49203 + 2010 | -3.437 3.431037 -1.00 0.317 -10.16362 3.289617 + 2011 | .4163144 4.171343 0.10 0.921 -7.761688 8.594317 + 2012 | 2.254092 4.99988 0.45 0.652 -7.548275 12.05646 + 2013 | 7.145463 4.217619 1.69 0.090 -1.123263 15.41419 + 2014 | 5.61864 3.924322 1.43 0.152 -2.075074 13.31235 + 2015 | 6.64307 4.011957 1.66 0.098 -1.222452 14.50859 + 2030 | 40.80479 22.90083 1.78 0.075 -4.092749 85.70234 + 2099 | 21.02121 6.531396 3.22 0.001 8.216281 33.82615 + 2100 | 9.46627 6.366854 1.49 0.137 -3.016076 21.94862 + 2101 | 13.43019 4.176904 3.22 0.001 5.241287 21.61909 + 2102 | 7.163606 3.495878 2.05 0.041 .309866 14.01735 + 2103 | 8.111475 3.323717 2.44 0.015 1.59526 14.62769 + 2104 | 3.796868 3.157092 1.20 0.229 -2.392675 9.98641 + 2105 | 9.7695 5.629408 1.74 0.083 -1.267069 20.80607 + 2199 | .5104975 3.990432 0.13 0.898 -7.312825 8.33382 + 9999 | 40.01787 9.063153 4.42 0.000 22.24938 57.78637 + | + house_administration | 8.466853 6.742107 1.26 0.209 -4.751183 21.68489 + house_agriculture | 3.813365 1.170536 3.26 0.001 1.518505 6.108225 + house_appropriations | 4.531284 3.740015 1.21 0.226 -2.801091 11.86366 + house_armedservices | -.236335 1.816096 -0.13 0.896 -3.796827 3.324158 + house_budget | 3.788087 2.53011 1.50 0.134 -1.172244 8.748418 + house_dc | -.668572 2.972809 -0.22 0.822 -6.496825 5.159681 + house_educlabor | 3.598131 2.86466 1.26 0.209 -2.018093 9.214354 + house_energycommerce | 2.132098 1.281166 1.66 0.096 -.3796533 4.64385 + house_foreignaffairs | 1.441686 3.041645 0.47 0.636 -4.52152 7.404893 + house_governmentop | 4.291395 2.257362 1.90 0.057 -.1342088 8.716998 + house_intelligence | 19.44469 15.30313 1.27 0.204 -10.5574 49.44679 + house_interior | -2.547844 2.385957 -1.07 0.286 -7.225561 2.129873 + house_judiciary | 4.87493 1.384129 3.52 0.000 2.161318 7.588543 + house_mmf | -1.741032 2.139373 -0.81 0.416 -5.935315 2.453251 + house_pocs | 9.19074 3.929862 2.34 0.019 1.486166 16.89531 + house_pwt | 6.332504 3.063864 2.07 0.039 .3257357 12.33927 + house_rules | 3.246114 1.806364 1.80 0.072 -.2952993 6.787526 + house_sst | 5.300355 2.430669 2.18 0.029 .5349786 10.06573 + house_smallbusi | -4.978774 2.033052 -2.45 0.014 -8.964613 -.9929353 + house_soc | 5.092396 6.870978 0.74 0.459 -8.378294 18.56309 + house_veterans | 10.70536 5.771124 1.85 0.064 -.6090427 22.01977 + house_waysandmeans | 3.48835 1.244861 2.80 0.005 1.047776 5.928924 +house_naturalresources | -1.405463 1.59219 -0.88 0.377 -4.526985 1.716058 + house_bfs | -1.86468 1.674613 -1.11 0.266 -5.147793 1.418433 + house_eeo | -3.365571 3.4332 -0.98 0.327 -10.09643 3.365288 + house_govreform | 4.343632 1.325696 3.28 0.001 1.744578 6.942686 + house_ir | 5.179764 1.808787 2.86 0.004 1.633601 8.725928 + house_natsecur | 1.355317 2.623264 0.52 0.605 -3.787646 6.49828 + house_oversight | 7.14758 3.007543 2.38 0.018 1.251231 13.04393 + house_resources | -2.42362 1.66573 -1.45 0.146 -5.689316 .8420768 + house_science | -1.484561 1.386631 -1.07 0.284 -4.20308 1.233958 + house_transp | 2.631188 1.507836 1.75 0.081 -.3249547 5.58733 + house_homeland | -.3876343 1.761111 -0.22 0.826 -3.840328 3.065059 + _cons | 1.273216 3.439544 0.37 0.711 -5.470079 8.016511 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 3,005 1 0 1 1 + + +j = 5 k = 2 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6187 +----------------------+---------------------- NN matches = 3 + Number of obs | 2193 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 29.70309 50.99673 .5824509 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(7,341 missing values generated) +(54,749 missing values generated) +(47,408 real changes made) +reg numb_cosponsors sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==100 & tag_bill==1 & women_friend1==0, robust cluster(group_sponsor) +(sum of wgt is 36,602.5121735334) + +Linear regression Number of obs = 19,087 + F(197, 2212) = . + Prob > F = . + R-squared = 0.1110 + Root MSE = 33.339 + + (Std. Err. adjusted for 2,213 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | .3307531 1.213821 0.27 0.785 -2.049594 2.7111 + | + v2 | + 102 | -3.053706 3.099261 -0.99 0.325 -9.131472 3.024059 + 103 | -5.259671 2.730679 -1.93 0.054 -10.61463 .0952908 + 104 | -7.531073 3.333416 -2.26 0.024 -14.06802 -.9941208 + 105 | -4.648192 3.58534 -1.30 0.195 -11.67918 2.382792 + 106 | -5.591907 3.315344 -1.69 0.092 -12.09342 .9096046 + 107 | -6.486526 3.257215 -1.99 0.047 -12.87405 -.0990069 + 108 | -4.475613 3.354046 -1.33 0.182 -11.05302 2.101795 + 109 | -7.091447 3.204607 -2.21 0.027 -13.3758 -.8070934 + 110 | -5.078817 3.38661 -1.50 0.134 -11.72008 1.562451 + 111 | -9.035773 3.762751 -2.40 0.016 -16.41467 -1.656879 + | + minor | + 101 | -4.82948 4.39591 -1.10 0.272 -13.45002 3.791063 + 103 | -9.499181 3.720193 -2.55 0.011 -16.79462 -2.203745 + 104 | -2.633238 4.232021 -0.62 0.534 -10.93239 5.665911 + 105 | 1.689485 4.420153 0.38 0.702 -6.978598 10.35757 + 107 | 3.319274 4.814826 0.69 0.491 -6.122777 12.76133 + 108 | 8.417723 5.33495 1.58 0.115 -2.044313 18.87976 + 110 | 3.008747 8.868705 0.34 0.734 -14.38311 20.40061 + 400 | 7.537923 6.608633 1.14 0.254 -5.42185 20.4977 + 401 | -4.657135 4.065964 -1.15 0.252 -12.63064 3.31637 + 402 | 2.625503 3.975741 0.66 0.509 -5.171072 10.42208 + 403 | 4.197489 4.077117 1.03 0.303 -3.797888 12.19287 + 404 | 4.276812 4.901837 0.87 0.383 -5.33587 13.8895 + 405 | 14.39893 7.787124 1.85 0.065 -.8719057 29.66977 + 498 | 3.943738 5.812157 0.68 0.498 -7.454117 15.34159 + 499 | -3.296 3.794483 -0.87 0.385 -10.73712 4.145122 + 700 | 2.89229 4.567581 0.63 0.527 -6.064905 11.84949 + 701 | 5.741938 4.300854 1.34 0.182 -2.692196 14.17607 + 703 | -.7427706 3.901095 -0.19 0.849 -8.392963 6.907422 + 704 | -.3066352 3.931823 -0.08 0.938 -8.017085 7.403815 + 705 | 3.922157 4.455996 0.88 0.379 -4.816216 12.66053 + 707 | 22.39721 14.16913 1.58 0.114 -5.38897 50.1834 + 708 | 4.508626 4.497216 1.00 0.316 -4.310582 13.32783 + 709 | 11.3954 4.550211 2.50 0.012 2.472269 20.31853 + 710 | 6.096628 4.225008 1.44 0.149 -2.188768 14.38202 + 711 | 15.27826 5.574827 2.74 0.006 4.345815 26.2107 + 798 | 2.783468 4.549305 0.61 0.541 -6.137887 11.70482 + 799 | -7.631465 4.204518 -1.82 0.070 -15.87668 .6137509 + 800 | 3.92999 5.388872 0.73 0.466 -6.637788 14.49777 + 801 | -3.825279 4.044325 -0.95 0.344 -11.75635 4.105792 + 802 | -2.86564 3.897443 -0.74 0.462 -10.50867 4.77739 + 803 | -.1826373 3.603775 -0.05 0.960 -7.249774 6.884499 + 805 | 1.954242 4.292243 0.46 0.649 -6.463005 10.37149 + 806 | -.3753399 3.687731 -0.10 0.919 -7.607117 6.856438 + 807 | 4.618674 4.038765 1.14 0.253 -3.301493 12.53884 + 898 | -1.371149 7.597907 -0.18 0.857 -16.27092 13.52863 + 899 | -.0587445 6.403933 -0.01 0.993 -12.61709 12.4996 + 1000 | -1.719926 4.112544 -0.42 0.676 -9.784777 6.344925 + 1001 | -3.354274 3.716441 -0.90 0.367 -10.64235 3.933804 + 1002 | -3.778502 3.889071 -0.97 0.331 -11.40511 3.848109 + 1003 | 1.575805 3.754709 0.42 0.675 -5.787318 8.938929 + 1005 | .7558432 5.377812 0.14 0.888 -9.790246 11.30193 + 1006 | 1.903736 4.410191 0.43 0.666 -6.744811 10.55228 + 1007 | 2.528576 4.131005 0.61 0.541 -5.572478 10.62963 + 1010 | 2.392742 5.810086 0.41 0.681 -9.001051 13.78654 + 1098 | -7.72107 4.594798 -1.68 0.093 -16.73164 1.289498 + 1099 | 6.78624 9.207822 0.74 0.461 -11.27064 24.84312 + 1400 | 5.067775 4.577613 1.11 0.268 -3.909093 14.04464 + 1401 | 10.25298 4.537172 2.26 0.024 1.355423 19.15055 + 1403 | 9.411024 5.148948 1.83 0.068 -.6862541 19.5083 + 1404 | 3.621863 7.461939 0.49 0.627 -11.01128 18.255 + 1405 | .0443303 3.526988 0.01 0.990 -6.872224 6.960884 + 1406 | 4.983271 5.386411 0.93 0.355 -5.57968 15.54622 + 1407 | -4.646764 7.03962 -0.66 0.509 -18.45172 9.158191 + 1408 | -5.685902 4.50941 -1.26 0.207 -14.52902 3.157218 + 1409 | 13.70126 6.669845 2.05 0.040 .6214473 26.78107 + 1410 | 4.649823 4.306325 1.08 0.280 -3.79504 13.09469 + 1499 | -1.990813 4.920019 -0.40 0.686 -11.63915 7.657526 + 1500 | 1.001751 6.193232 0.16 0.872 -11.14341 13.14691 + 1501 | 5.565277 4.03019 1.38 0.167 -2.338074 13.46863 + 1502 | 13.14425 7.28806 1.80 0.071 -1.147911 27.4364 + 1504 | 20.18931 12.97445 1.56 0.120 -5.254053 45.63268 + 1505 | -2.736465 5.328541 -0.51 0.608 -13.18593 7.713 + 1507 | -8.081519 4.347512 -1.86 0.063 -16.60715 .4441119 + 1520 | -1.603082 3.792983 -0.42 0.673 -9.041262 5.835098 + 1521 | 1.003813 3.568427 0.28 0.779 -5.994004 8.00163 + 1522 | -4.029427 4.445229 -0.91 0.365 -12.74669 4.687833 + 1523 | -1.900008 4.022565 -0.47 0.637 -9.788407 5.988391 + 1524 | 9.888911 7.90236 1.25 0.211 -5.607909 25.38573 + 1525 | 7.615506 4.629232 1.65 0.100 -1.46259 16.6936 + 1526 | -2.350368 3.977758 -0.59 0.555 -10.1509 5.450162 + 1599 | 5.046847 5.484529 0.92 0.358 -5.708517 15.80221 + 1600 | .5429178 4.747981 0.11 0.909 -8.768048 9.853883 + 1602 | 11.45778 9.552735 1.20 0.230 -7.275488 30.19105 + 1603 | -34.24997 25.13173 -1.36 0.173 -83.53423 15.03429 + 1604 | -1.157362 5.475386 -0.21 0.833 -11.8948 9.580072 + 1605 | 7.327896 6.740946 1.09 0.277 -5.891348 20.54714 + 1606 | 18.90851 12.14858 1.56 0.120 -4.915304 42.73233 + 1608 | 6.25297 6.055012 1.03 0.302 -5.621132 18.12707 + 1609 | -.7353124 7.93848 -0.09 0.926 -16.30297 14.83234 + 1610 | 5.194032 4.865655 1.07 0.286 -4.347697 14.73576 + 1611 | -4.832032 4.243015 -1.14 0.255 -13.15274 3.488677 + 1612 | 6.605338 5.034815 1.31 0.190 -3.268121 16.4788 + 1614 | 5.949922 5.147245 1.16 0.248 -4.144017 16.04386 + 1615 | -2.936902 4.202407 -0.70 0.485 -11.17798 5.304173 + 1616 | 3.709755 5.703017 0.65 0.515 -7.474073 14.89358 + 1617 | -7.938954 5.327531 -1.49 0.136 -18.38644 2.50853 + 1619 | 5.482781 7.052691 0.78 0.437 -8.347807 19.31337 + 1620 | -3.856805 4.907272 -0.79 0.432 -13.48015 5.766538 + 1698 | -2.849554 5.63992 -0.51 0.613 -13.90965 8.210538 + 1699 | 47.52 15.56051 3.05 0.002 17.00526 78.03474 + 1700 | 6.439615 5.647026 1.14 0.254 -4.634411 17.51364 + 1701 | .4857035 4.174944 0.12 0.907 -7.701516 8.672923 + 1704 | .5892958 6.354031 0.09 0.926 -11.87119 13.04979 + 1705 | -7.512469 8.321122 -0.90 0.367 -23.8305 8.805559 + 1706 | 3.23731 5.707867 0.57 0.571 -7.956029 14.43065 + 1707 | .8784928 5.532355 0.16 0.874 -9.970659 11.72764 + 1708 | 5.946912 4.914134 1.21 0.226 -3.689886 15.58371 + 1709 | 1.005354 5.223611 0.19 0.847 -9.23834 11.24905 + 1798 | 7.330466 5.952652 1.23 0.218 -4.342904 19.00384 + 1799 | 11.72456 11.5042 1.02 0.308 -10.83561 34.28472 + 1800 | -2.422507 4.668816 -0.52 0.604 -11.57823 6.733214 + 1802 | 6.532829 6.630481 0.99 0.325 -6.469789 19.53545 + 1803 | -.0452219 4.671074 -0.01 0.992 -9.205371 9.114927 + 1804 | -3.55558 4.630585 -0.77 0.443 -12.63633 5.525169 + 1806 | 2.111096 4.356481 0.48 0.628 -6.432124 10.65432 + 1807 | -8.730539 4.162756 -2.10 0.036 -16.89386 -.5672206 + 1808 | 19.45366 13.33644 1.46 0.145 -6.699592 45.60691 + 1899 | -14.6954 8.838462 -1.66 0.097 -32.02795 2.637147 + 1900 | -.208515 4.41969 -0.05 0.962 -8.87569 8.45866 + 1901 | 10.10794 5.195593 1.95 0.052 -.0808043 20.29669 + 1902 | 3.733264 4.903195 0.76 0.447 -5.882082 13.34861 + 1905 | 28.55942 8.081359 3.53 0.000 12.71157 44.40726 + 1906 | 3.418185 4.779473 0.72 0.475 -5.954538 12.79091 + 1907 | 6.864762 8.351317 0.82 0.411 -9.512479 23.242 + 1908 | -1.30681 6.891844 -0.19 0.850 -14.82197 12.20835 + 1909 | .3678546 6.480106 0.06 0.955 -12.33987 13.07558 + 1910 | -1.464248 5.725388 -0.26 0.798 -12.69194 9.763449 + 1911 | 7.888865 6.624353 1.19 0.234 -5.101736 20.87947 + 1912 | -9.151127 14.81087 -0.62 0.537 -38.19579 19.89353 + 1914 | .4099116 5.357884 0.08 0.939 -10.0971 10.91692 + 1915 | -3.671487 4.119905 -0.89 0.373 -11.75077 4.407798 + 1919 | 2.552872 7.913108 0.32 0.747 -12.96503 18.07077 + 1920 | 16.3641 7.541481 2.17 0.030 1.57498 31.15323 + 1925 | 24.28088 6.718326 3.61 0.000 11.10599 37.45576 + 1926 | 19.4209 7.850814 2.47 0.013 4.025165 34.81664 + 1927 | -5.076738 4.763979 -1.07 0.287 -14.41908 4.265602 + 1929 | 2.379537 6.336557 0.38 0.707 -10.04669 14.80576 + 1999 | 8.580203 17.46033 0.49 0.623 -25.66014 42.82055 + 2000 | -.8523018 3.891329 -0.22 0.827 -8.483342 6.778739 + 2001 | 3.928187 4.984042 0.79 0.431 -5.845705 13.70208 + 2002 | -.9920353 4.349514 -0.23 0.820 -9.521593 7.537522 + 2003 | 19.958 7.562329 2.64 0.008 5.127997 34.78801 + 2004 | 9.317113 5.120353 1.82 0.069 -.7240896 19.35832 + 2005 | -8.247312 5.596972 -1.47 0.141 -19.22318 2.728557 + 2006 | 64.2799 14.7606 4.35 0.000 35.33381 93.22599 + 2007 | -1.569593 6.318859 -0.25 0.804 -13.96111 10.82192 + 2008 | .6333707 3.6207 0.17 0.861 -6.466956 7.733697 + 2009 | 11.84586 11.18257 1.06 0.290 -10.08357 33.7753 + 2010 | -12.39874 3.875424 -3.20 0.001 -19.99859 -4.798889 + 2011 | -11.1252 5.428916 -2.05 0.041 -21.7715 -.478894 + 2012 | -5.96773 6.346743 -0.94 0.347 -18.41393 6.478469 + 2013 | 3.60581 4.661605 0.77 0.439 -5.53577 12.74739 + 2014 | 1.161537 5.800074 0.20 0.841 -10.21262 12.5357 + 2015 | -.0074118 4.695265 -0.00 0.999 -9.215001 9.200177 + 2030 | 14.76427 10.39153 1.42 0.156 -5.613911 35.14245 + 2099 | 15.67569 8.28001 1.89 0.058 -.5617186 31.91309 + 2100 | 10.01631 13.51905 0.74 0.459 -16.49505 36.52768 + 2101 | 9.006563 5.886588 1.53 0.126 -2.537254 20.55038 + 2102 | 1.423823 4.054395 0.35 0.725 -6.526995 9.374641 + 2103 | 4.597969 4.061495 1.13 0.258 -3.366773 12.56271 + 2104 | -2.584984 3.710479 -0.70 0.486 -9.86137 4.691402 + 2105 | -4.473308 5.664387 -0.79 0.430 -15.58138 6.634766 + 2199 | -10.03367 3.953587 -2.54 0.011 -17.7868 -2.28054 + 9999 | 37.42451 11.18233 3.35 0.001 15.49553 59.35348 + | + house_administration | 15.09442 8.274086 1.82 0.068 -1.131373 31.32021 + house_agriculture | 2.428127 1.559434 1.56 0.120 -.6299805 5.486234 + house_appropriations | -5.220493 4.091095 -1.28 0.202 -13.24328 2.802295 + house_armedservices | -1.66628 2.840229 -0.59 0.557 -7.236074 3.903513 + house_budget | -.205568 2.703462 -0.08 0.939 -5.507158 5.096022 + house_dc | -6.494198 5.277717 -1.23 0.219 -16.844 3.855601 + house_educlabor | 3.544271 3.063796 1.16 0.247 -2.463945 9.552488 + house_energycommerce | 3.8203 1.466025 2.61 0.009 .9453716 6.695229 + house_foreignaffairs | 8.872214 3.1751 2.79 0.005 2.645725 15.0987 + house_governmentop | .5056858 4.072287 0.12 0.901 -7.48022 8.491592 + house_intelligence | 35.46534 27.5101 1.29 0.197 -18.48299 89.41367 + house_interior | -7.199004 4.139755 -1.74 0.082 -15.31722 .9192086 + house_judiciary | 5.712512 1.884077 3.03 0.002 2.017766 9.407258 + house_mmf | -3.738473 2.839467 -1.32 0.188 -9.306773 1.829828 + house_pocs | -.0440774 4.92631 -0.01 0.993 -9.704754 9.616599 + house_pwt | -.1038131 1.757679 -0.06 0.953 -3.550686 3.34306 + house_rules | 6.166927 2.439492 2.53 0.012 1.382992 10.95086 + house_sst | 1.776687 2.302943 0.77 0.441 -2.73947 6.292843 + house_smallbusi | -2.677964 2.166012 -1.24 0.216 -6.925594 1.569666 + house_soc | 6.637664 11.6388 0.57 0.569 -16.18645 29.46178 + house_veterans | 16.88489 8.548154 1.98 0.048 .1216433 33.64814 + house_waysandmeans | 4.783667 1.676341 2.85 0.004 1.4963 8.071033 +house_naturalresources | -1.355772 2.721474 -0.50 0.618 -6.692684 3.98114 + house_bfs | -2.425155 3.357082 -0.72 0.470 -9.008518 4.158207 + house_eeo | .819267 3.540199 0.23 0.817 -6.123194 7.761728 + house_govreform | 9.839846 2.044946 4.81 0.000 5.829632 13.85006 + house_ir | 5.183914 2.497232 2.08 0.038 .2867498 10.08108 + house_natsecur | 1.812739 3.493782 0.52 0.604 -5.038697 8.664175 + house_oversight | 3.300398 3.593862 0.92 0.359 -3.747298 10.34809 + house_resources | -.2278111 3.157182 -0.07 0.942 -6.419162 5.96354 + house_science | -.0666015 1.761086 -0.04 0.970 -3.520156 3.386953 + house_transp | 3.798222 2.294431 1.66 0.098 -.7012429 8.297686 + house_homeland | 2.470333 2.549432 0.97 0.333 -2.529198 7.469865 + _cons | 12.43429 4.365308 2.85 0.004 3.873759 20.99482 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,529 1 0 1 1 + + +j = 5 k = 3 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 13.03771 22.75762 .5728944 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(13,828 missing values generated) +(55,922 missing values generated) +(42,094 real changes made) +reg numb_cosponsors sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==200 & tag_bill==1 & women_friend1==0, robust cluster(group_sponsor) +(sum of wgt is 24,740.125613451) + +Linear regression Number of obs = 16,838 + F(197, 1916) = 12.92 + Prob > F = 0.0000 + R-squared = 0.1419 + Root MSE = 32.069 + + (Std. Err. adjusted for 1,917 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 3.252773 1.22493 2.66 0.008 .850437 5.655109 + | + v2 | + 102 | -.8009681 1.668266 -0.48 0.631 -4.072776 2.47084 + 103 | -1.493731 1.466417 -1.02 0.309 -4.369673 1.38221 + 104 | .276276 1.782813 0.15 0.877 -3.220181 3.772733 + 105 | 1.611137 1.627144 0.99 0.322 -1.580022 4.802296 + 106 | 4.598695 2.135637 2.15 0.031 .4102778 8.787111 + 107 | 2.172469 1.691707 1.28 0.199 -1.145313 5.49025 + 108 | 3.086143 2.445294 1.26 0.207 -1.709574 7.88186 + 109 | -.1126589 1.493033 -0.08 0.940 -3.0408 2.815482 + 110 | -1.400838 1.530947 -0.92 0.360 -4.403336 1.60166 + 111 | -1.959381 1.848735 -1.06 0.289 -5.585126 1.666363 + | + minor | + 101 | -.4606016 5.024633 -0.09 0.927 -10.31493 9.393724 + 103 | 27.56979 15.82538 1.74 0.082 -3.466984 58.60657 + 104 | 6.432361 5.511478 1.17 0.243 -4.376766 17.24149 + 105 | 12.58425 7.045676 1.79 0.074 -1.233748 26.40225 + 107 | 17.94739 5.249204 3.42 0.001 7.652636 28.24214 + 108 | 3.89104 5.07118 0.77 0.443 -6.054574 13.83665 + 110 | 25.63023 20.83831 1.23 0.219 -15.23792 66.49837 + 400 | 2.326407 5.638172 0.41 0.680 -8.731193 13.38401 + 401 | 5.998579 6.279544 0.96 0.340 -6.316881 18.31404 + 402 | 5.856785 4.578838 1.28 0.201 -3.123246 14.83682 + 403 | 24.88288 9.057428 2.75 0.006 7.119426 42.64633 + 404 | 12.14671 6.170886 1.97 0.049 .0443542 24.24907 + 405 | 12.89085 9.988561 1.29 0.197 -6.698747 32.48044 + 498 | 10.39578 8.929105 1.16 0.244 -7.116011 27.90756 + 499 | 20.81256 13.0577 1.59 0.111 -4.796246 46.42137 + 700 | 3.559194 4.390492 0.81 0.418 -5.051452 12.16984 + 701 | 13.27918 8.090069 1.64 0.101 -2.587089 29.14545 + 703 | 3.376548 4.590472 0.74 0.462 -5.626298 12.37939 + 704 | 3.963702 4.702249 0.84 0.399 -5.258361 13.18577 + 705 | 10.40965 5.349313 1.95 0.052 -.0814414 20.90074 + 707 | 9.454741 7.400652 1.28 0.202 -5.059438 23.96892 + 708 | 17.26844 10.19477 1.69 0.090 -2.725582 37.26246 + 709 | 12.2416 4.99367 2.45 0.014 2.447995 22.0352 + 710 | 4.327613 4.41714 0.98 0.327 -4.335294 12.99052 + 711 | 5.036891 4.410055 1.14 0.254 -3.612122 13.6859 + 798 | 7.974221 7.201833 1.11 0.268 -6.150033 22.09848 + 799 | 10.62744 6.428924 1.65 0.098 -1.980981 23.23587 + 800 | -.6045121 4.58754 -0.13 0.895 -9.601609 8.392585 + 801 | -.6250016 5.163815 -0.12 0.904 -10.75229 9.502287 + 802 | .9606169 4.630906 0.21 0.836 -8.121529 10.04276 + 803 | 7.53501 4.338432 1.74 0.083 -.9735356 16.04356 + 805 | -4.573131 4.397468 -1.04 0.298 -13.19746 4.051195 + 806 | 5.597172 4.744073 1.18 0.238 -3.706917 14.90126 + 807 | 6.610078 4.816375 1.37 0.170 -2.835811 16.05597 + 898 | -.8520517 4.732878 -0.18 0.857 -10.13419 8.430083 + 899 | -2.822982 5.285769 -0.53 0.593 -13.18945 7.543483 + 1000 | -.3239292 5.438858 -0.06 0.953 -10.99063 10.34277 + 1001 | 5.515705 4.689765 1.18 0.240 -3.681876 14.71329 + 1002 | 9.301095 5.451732 1.71 0.088 -1.390857 19.99305 + 1003 | 7.073921 5.273471 1.34 0.180 -3.268426 17.41627 + 1005 | .8002292 5.123479 0.16 0.876 -9.247953 10.84841 + 1006 | 13.02588 6.07961 2.14 0.032 1.102529 24.94923 + 1007 | -.4327964 4.22487 -0.10 0.918 -8.718623 7.853031 + 1010 | 4.408733 6.083085 0.72 0.469 -7.521431 16.3389 + 1098 | -5.546125 4.611632 -1.20 0.229 -14.59047 3.498221 + 1099 | 9.248574 11.76054 0.79 0.432 -13.81623 32.31338 + 1400 | 9.161713 6.004889 1.53 0.127 -2.615093 20.93852 + 1401 | 19.23101 8.091418 2.38 0.018 3.362093 35.09992 + 1403 | -.8515632 4.654183 -0.18 0.855 -9.97936 8.276234 + 1404 | .7077469 5.290204 0.13 0.894 -9.667416 11.08291 + 1405 | 1.109796 4.413961 0.25 0.802 -7.546876 9.766469 + 1406 | 3.933752 5.891556 0.67 0.504 -7.620784 15.48829 + 1407 | 4.989819 5.432165 0.92 0.358 -5.663759 15.6434 + 1408 | 32.30128 25.19308 1.28 0.200 -17.10746 81.71001 + 1409 | 35.95787 20.8888 1.72 0.085 -5.009296 76.92504 + 1410 | 30.51785 14.49904 2.10 0.035 2.082285 58.95341 + 1499 | .6765585 5.667033 0.12 0.905 -10.43764 11.79076 + 1500 | 7.126575 6.567618 1.09 0.278 -5.753856 20.00701 + 1501 | 4.964077 4.563875 1.09 0.277 -3.986607 13.91476 + 1502 | 6.057345 5.065382 1.20 0.232 -3.876896 15.99159 + 1504 | 15.25782 6.561897 2.33 0.020 2.388609 28.12703 + 1505 | 11.33222 4.985134 2.27 0.023 1.555358 21.10908 + 1507 | 12.3656 9.835672 1.26 0.209 -6.92415 31.65535 + 1520 | 37.0836 26.10554 1.42 0.156 -14.11466 88.28186 + 1521 | 5.570792 4.234783 1.32 0.189 -2.734477 13.87606 + 1522 | 3.673025 5.187094 0.71 0.479 -6.499919 13.84597 + 1523 | 4.194204 4.328401 0.97 0.333 -4.294668 12.68308 + 1524 | 32.44637 16.65852 1.95 0.052 -.2243787 65.11711 + 1525 | 9.46281 5.395168 1.75 0.080 -1.11821 20.04383 + 1526 | 14.20209 6.495442 2.19 0.029 1.463211 26.94097 + 1599 | 48.8512 33.92714 1.44 0.150 -17.6868 115.3892 + 1600 | 2.433626 6.344189 0.38 0.701 -10.00862 14.87587 + 1602 | 16.03593 12.93049 1.24 0.215 -9.323377 41.39524 + 1603 | 1.528759 8.166282 0.19 0.852 -14.48698 17.54449 + 1604 | 17.25597 8.193443 2.11 0.035 1.186969 33.32498 + 1605 | 13.66385 6.796537 2.01 0.045 .3344614 26.99324 + 1606 | -.1612617 6.489159 -0.02 0.980 -12.88782 12.56529 + 1608 | 18.21573 5.219979 3.49 0.000 7.978287 28.45316 + 1609 | 17.92273 5.079872 3.53 0.000 7.960066 27.88538 + 1610 | 11.99542 10.13472 1.18 0.237 -7.880812 31.87166 + 1611 | 1.449314 5.399992 0.27 0.788 -9.141166 12.03979 + 1612 | 10.1273 5.42059 1.87 0.062 -.5035768 20.75818 + 1614 | -3.913295 5.313866 -0.74 0.462 -14.33487 6.508274 + 1615 | -.4174104 4.957933 -0.08 0.933 -10.14092 9.306101 + 1616 | -7.460269 4.393881 -1.70 0.090 -16.07756 1.157023 + 1617 | 9.390906 7.155828 1.31 0.190 -4.643125 23.42494 + 1619 | -8.425187 7.139599 -1.18 0.238 -22.42739 5.577015 + 1620 | -3.04236 4.570042 -0.67 0.506 -12.00514 5.920419 + 1698 | -6.57124 5.170437 -1.27 0.204 -16.71152 3.569035 + 1699 | 21.78744 7.985585 2.73 0.006 6.126084 37.44879 + 1700 | 9.929573 8.429815 1.18 0.239 -6.603005 26.46215 + 1701 | 5.059359 5.310693 0.95 0.341 -5.355988 15.47471 + 1704 | 3.399345 5.458757 0.62 0.534 -7.306384 14.10508 + 1705 | -6.299174 5.464386 -1.15 0.249 -17.01594 4.417596 + 1706 | 11.83004 5.221692 2.27 0.024 1.589244 22.07084 + 1707 | 15.69838 6.944044 2.26 0.024 2.079699 29.31706 + 1708 | 2.466787 4.320416 0.57 0.568 -6.006425 10.94 + 1709 | 19.60645 6.096728 3.22 0.001 7.649525 31.56337 + 1798 | 18.86408 8.803846 2.14 0.032 1.597951 36.13021 + 1799 | -1.539784 4.594657 -0.34 0.738 -10.55084 7.47127 + 1800 | -1.979657 4.675337 -0.42 0.672 -11.14894 7.189626 + 1802 | 1.25243 4.437299 0.28 0.778 -7.450015 9.954874 + 1803 | 13.73967 7.702681 1.78 0.075 -1.366851 28.84619 + 1804 | 2.703398 5.060757 0.53 0.593 -7.221773 12.62857 + 1806 | 1.367354 4.274914 0.32 0.749 -7.01662 9.751327 + 1807 | -7.042049 4.072436 -1.73 0.084 -15.02892 .9448234 + 1808 | -3.42841 5.183147 -0.66 0.508 -13.59361 6.736793 + 1899 | 8.164131 13.45371 0.61 0.544 -18.22133 34.54959 + 1900 | -1.104869 5.086484 -0.22 0.828 -11.0805 8.870758 + 1901 | 7.410408 4.827548 1.54 0.125 -2.057394 16.87821 + 1902 | 17.71739 7.921012 2.24 0.025 2.18268 33.2521 + 1905 | 7.536565 7.262035 1.04 0.299 -6.70576 21.77889 + 1906 | 3.063014 4.668416 0.66 0.512 -6.092696 12.21872 + 1907 | -5.492307 6.506691 -0.84 0.399 -18.25325 7.268633 + 1908 | 7.887418 8.644273 0.91 0.362 -9.065755 24.84059 + 1909 | 3.741034 5.398115 0.69 0.488 -6.845765 14.32783 + 1910 | 20.23568 8.150122 2.48 0.013 4.251633 36.21972 + 1911 | 7.81061 6.001061 1.30 0.193 -3.958688 19.57991 + 1912 | -3.459733 4.150996 -0.83 0.405 -11.60068 4.681213 + 1914 | 7.798337 5.69579 1.37 0.171 -3.372263 18.96894 + 1915 | -5.596821 4.699671 -1.19 0.234 -14.81383 3.620187 + 1919 | 4.601177 4.894942 0.94 0.347 -4.998798 14.20115 + 1920 | 34.93337 9.266373 3.77 0.000 16.76013 53.10661 + 1925 | 19.23377 5.990047 3.21 0.001 7.486074 30.98147 + 1926 | 13.0652 5.942128 2.20 0.028 1.411478 24.71892 + 1927 | 9.461344 6.650261 1.42 0.155 -3.581168 22.50386 + 1929 | 12.70666 5.774004 2.20 0.028 1.382665 24.03065 + 1999 | -.7942742 5.558653 -0.14 0.886 -11.69592 10.10737 + 2000 | -1.723461 4.412068 -0.39 0.696 -10.37642 6.9295 + 2001 | 4.154443 4.401267 0.94 0.345 -4.477334 12.78622 + 2002 | 7.894732 4.784507 1.65 0.099 -1.488658 17.27812 + 2003 | 25.83951 9.886792 2.61 0.009 6.449505 45.22952 + 2004 | 4.997754 4.437883 1.13 0.260 -3.705834 13.70134 + 2005 | 3.771988 7.059665 0.53 0.593 -10.07345 17.61742 + 2006 | 91.93064 17.2092 5.34 0.000 58.1799 125.6814 + 2007 | 9.072903 6.895359 1.32 0.188 -4.450295 22.5961 + 2008 | 11.40022 4.618808 2.47 0.014 2.341801 20.45864 + 2009 | 6.474602 6.025608 1.07 0.283 -5.342839 18.29204 + 2011 | 3.581087 4.266344 0.84 0.401 -4.786079 11.94825 + 2012 | .4003676 4.635034 0.09 0.931 -8.689874 9.490609 + 2013 | 3.150377 5.571023 0.57 0.572 -7.775528 14.07628 + 2014 | 3.720628 5.051291 0.74 0.461 -6.185979 13.62724 + 2015 | -.2377784 5.366447 -0.04 0.965 -10.76247 10.28691 + 2030 | 23.48569 12.03462 1.95 0.051 -.1166491 47.08803 + 2099 | 18.03388 10.43251 1.73 0.084 -2.426385 38.49414 + 2100 | 1.524027 5.029872 0.30 0.762 -8.340573 11.38863 + 2101 | 5.714838 4.30937 1.33 0.185 -2.73671 14.16639 + 2102 | 1.090819 4.19106 0.26 0.795 -7.1287 9.310338 + 2103 | 1.861939 4.313831 0.43 0.666 -6.598359 10.32224 + 2104 | -.2202643 4.090778 -0.05 0.957 -8.243109 7.802581 + 2105 | 7.232518 5.226774 1.38 0.167 -3.018247 17.48328 + 2199 | 3.485186 5.398393 0.65 0.519 -7.102157 14.07253 + 9999 | 34.11792 16.30525 2.09 0.037 2.140013 66.09583 + | + house_administration | 2.673481 2.629777 1.02 0.309 -2.484046 7.831008 + house_agriculture | 4.844861 1.42488 3.40 0.001 2.050383 7.639339 + house_appropriations | 8.049838 4.131457 1.95 0.052 -.0527866 16.15246 + house_armedservices | 4.165375 2.53017 1.65 0.100 -.7968013 9.127552 + house_budget | 7.227614 3.876312 1.86 0.062 -.3746207 14.82985 + house_dc | -.2774303 3.68722 -0.08 0.940 -7.508817 6.953957 + house_educlabor | -3.263665 1.747058 -1.87 0.062 -6.69 .1626702 + house_energycommerce | 3.195855 1.427379 2.24 0.025 .396475 5.995235 + house_foreignaffairs | 1.020104 2.121282 0.48 0.631 -3.14016 5.180369 + house_governmentop | 8.573179 3.220735 2.66 0.008 2.256665 14.88969 + house_intelligence | 6.986512 9.025291 0.77 0.439 -10.71391 24.68694 + house_interior | -1.221976 1.641061 -0.74 0.457 -4.440431 1.996478 + house_judiciary | 4.225087 1.790424 2.36 0.018 .7137017 7.736473 + house_mmf | 2.877453 2.045435 1.41 0.160 -1.134059 6.888965 + house_pocs | 7.963864 3.351802 2.38 0.018 1.390301 14.53743 + house_pwt | 1.820756 1.934771 0.94 0.347 -1.973722 5.615234 + house_rules | 4.454731 2.101233 2.12 0.034 .3337872 8.575674 + house_sst | 5.307844 4.927498 1.08 0.282 -4.355979 14.97167 + house_smallbusi | -3.465896 2.264685 -1.53 0.126 -7.907403 .9756106 + house_soc | -4.115743 4.336253 -0.95 0.343 -12.62002 4.38853 + house_veterans | -1.014569 2.603443 -0.39 0.697 -6.12045 4.091312 + house_waysandmeans | 4.551714 1.321365 3.44 0.001 1.960248 7.14318 +house_naturalresources | -.2367209 1.473766 -0.16 0.872 -3.127075 2.653633 + house_bfs | .2869862 2.048941 0.14 0.889 -3.731403 4.305376 + house_eeo | -1.102458 7.85185 -0.14 0.888 -16.50153 14.29661 + house_govreform | .807406 1.583917 0.51 0.610 -2.298977 3.913789 + house_ir | 4.997347 2.203113 2.27 0.023 .6765957 9.318099 + house_natsecur | 4.362195 4.401712 0.99 0.322 -4.270456 12.99485 + house_oversight | 7.49038 2.970325 2.52 0.012 1.66497 13.31579 + house_resources | -1.998318 1.347602 -1.48 0.138 -4.641239 .6446022 + house_science | -.0596031 2.05114 -0.03 0.977 -4.082306 3.963099 + house_transp | 2.934055 1.267575 2.31 0.021 .4480845 5.420026 + house_homeland | -1.293002 2.653362 -0.49 0.626 -6.496783 3.910779 + _cons | 2.038188 4.314877 0.47 0.637 -6.424161 10.50054 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,383 1 0 1 1 +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(62,331 observations deleted) +(17 missing values generated) +(1 real change made) +(0 real changes made) +(18 missing values generated) +(0 real changes made) +(0 real changes made) +(18 missing values generated) +(0 real changes made) +(0 real changes made) +(17 missing values generated) +(1 real change made) +(0 real changes made) +(17 missing values generated) +(1 real change made) +(1 real change made) +(5 real changes made) +(5 real changes made) +(5 real changes made) +file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/Table8_numb_cosponsors_WF10.xls saved + + +j = 1 k = 1 + + +rdbwselect_2014 numb_cosponsors MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11990 +----------------------+---------------------- NN matches = 3 + Number of obs | 6151 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 25.22792 46.13311 .5468506 +---------------------------------------------- +reg numb_cosponsors sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 +> borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if tag_bill==1 & women_friend1==1, robust cluster(group_sponsor) +note: house_soc omitted because of collinearity + +Linear regression Number of obs = 20,072 + F(136, 4030) = 6.76 + Prob > F = 0.0000 + R-squared = 0.0565 + Root MSE = 37.866 + + (Std. Err. adjusted for 4,031 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 2.669649 .9721973 2.75 0.006 .7636052 4.575694 + | + v2 | + 102 | -.4309087 1.455303 -0.30 0.767 -3.284107 2.422289 + 103 | -6.737593 1.975331 -3.41 0.001 -10.61033 -2.864852 + 104 | -5.807508 2.272298 -2.56 0.011 -10.26247 -1.352549 + 105 | -2.12062 2.01306 -1.05 0.292 -6.06733 1.82609 + 106 | -.5504575 1.996129 -0.28 0.783 -4.463975 3.36306 + 107 | 1.431325 2.091035 0.68 0.494 -2.66826 5.53091 + 108 | -2.652079 6.042369 -0.44 0.661 -14.49846 9.194304 + 109 | -4.012358 6.013153 -0.67 0.505 -15.80146 7.776746 + 110 | -2.826775 6.026494 -0.47 0.639 -14.64203 8.988484 + 111 | -7.140242 6.029477 -1.18 0.236 -18.96135 4.680865 + | + minor | + 201 | -6.515891 5.107919 -1.28 0.202 -16.53024 3.498454 + 202 | 17.29349 5.868683 2.95 0.003 5.787624 28.79935 + 204 | -.0645815 5.881627 -0.01 0.991 -11.59582 11.46666 + 205 | 40.15311 17.47775 2.30 0.022 5.887059 74.41917 + 206 | -2.607672 4.1097 -0.63 0.526 -10.66496 5.449612 + 207 | 10.67105 4.140367 2.58 0.010 2.553647 18.78846 + 208 | -8.223016 3.031766 -2.71 0.007 -14.16695 -2.279079 + 209 | 5.952952 12.86457 0.46 0.644 -19.26872 31.17462 + 299 | 41.61564 13.65504 3.05 0.002 14.8442 68.38707 + 300 | -5.557908 3.962971 -1.40 0.161 -13.32752 2.211707 + 301 | -6.881337 3.128273 -2.20 0.028 -13.01448 -.7481923 + 302 | -2.610358 2.965632 -0.88 0.379 -8.424636 3.203919 + 321 | -6.966735 3.255231 -2.14 0.032 -13.34879 -.5846832 + 322 | -11.5881 3.000697 -3.86 0.000 -17.47113 -5.705079 + 323 | 1.705738 3.911178 0.44 0.663 -5.962332 9.373809 + 324 | -11.44082 3.480095 -3.29 0.001 -18.26373 -4.617913 + 325 | -7.019386 3.156783 -2.22 0.026 -13.20843 -.8303465 + 331 | 8.186757 3.710043 2.21 0.027 .9130221 15.46049 + 332 | -.9638714 3.072107 -0.31 0.754 -6.9869 5.059157 + 333 | 2.751823 4.474091 0.62 0.539 -6.019868 11.52351 + 334 | 1.509515 3.322899 0.45 0.650 -5.005205 8.024235 + 335 | -5.306286 3.597229 -1.48 0.140 -12.35884 1.746272 + 336 | 6.164104 4.123657 1.49 0.135 -1.920544 14.24875 + 341 | -3.756862 3.666717 -1.02 0.306 -10.94565 3.43193 + 342 | -3.617689 6.47806 -0.56 0.577 -16.31827 9.082889 + 343 | -10.52501 3.472929 -3.03 0.002 -17.33387 -3.716145 + 344 | -4.081109 5.07509 -0.80 0.421 -14.03109 5.868874 + 398 | 8.467973 3.566775 2.37 0.018 1.475122 15.46083 + 399 | -5.418741 5.679827 -0.95 0.340 -16.55434 5.716859 + 500 | -9.175004 4.337027 -2.12 0.034 -17.67797 -.6720341 + 501 | -6.71242 3.441456 -1.95 0.051 -13.45958 .034737 + 502 | -6.176847 3.646824 -1.69 0.090 -13.32664 .9729446 + 503 | -4.129498 2.96548 -1.39 0.164 -9.943478 1.684482 + 504 | 10.58072 4.509112 2.35 0.019 1.740369 19.42107 + 505 | -2.440106 3.553551 -0.69 0.492 -9.407031 4.526819 + 506 | 1.271543 4.291352 0.30 0.767 -7.141879 9.684965 + 508 | -6.322625 3.331878 -1.90 0.058 -12.85495 .2096982 + 529 | -2.932466 5.464061 -0.54 0.592 -13.64505 7.780113 + 530 | -8.622611 2.734613 -3.15 0.002 -13.98396 -3.261258 + 599 | -4.257232 6.052997 -0.70 0.482 -16.12445 7.609989 + 600 | -4.25639 3.47049 -1.23 0.220 -11.06047 2.547689 + 601 | -5.721853 2.818537 -2.03 0.042 -11.24774 -.1959625 + 602 | -3.92134 2.895804 -1.35 0.176 -9.598717 1.756038 + 603 | -5.576606 3.482771 -1.60 0.109 -12.40476 1.25155 + 604 | -11.31193 4.260232 -2.66 0.008 -19.66434 -2.959519 + 606 | -3.392695 4.477295 -0.76 0.449 -12.17067 5.385278 + 607 | -5.825793 3.241291 -1.80 0.072 -12.18051 .5289285 + 609 | -6.441714 4.629495 -1.39 0.164 -15.51808 2.634656 + 698 | -18.24328 3.507104 -5.20 0.000 -25.11914 -11.36741 + 699 | -5.898038 4.170742 -1.41 0.157 -14.075 2.278923 + 1200 | -3.387371 5.109851 -0.66 0.507 -13.4055 6.630761 + 1201 | -10.32943 3.327693 -3.10 0.002 -16.85355 -3.805317 + 1202 | -12.20345 3.664718 -3.33 0.001 -19.38832 -5.018574 + 1203 | -11.8635 2.970331 -3.99 0.000 -17.68699 -6.040005 + 1204 | -11.95264 2.95147 -4.05 0.000 -17.73915 -6.166124 + 1205 | -9.023544 3.249299 -2.78 0.006 -15.39397 -2.653122 + 1206 | -10.79549 3.730355 -2.89 0.004 -18.10905 -3.481929 + 1207 | -8.318617 3.020176 -2.75 0.006 -14.23983 -2.397403 + 1208 | -.5887936 3.066364 -0.19 0.848 -6.600563 5.422976 + 1209 | -.8161003 2.849973 -0.29 0.775 -6.403623 4.771422 + 1210 | -6.906633 3.176663 -2.17 0.030 -13.13465 -.6786176 + 1211 | -4.965492 3.803019 -1.31 0.192 -12.42151 2.490528 + 1299 | -2.501317 7.918068 -0.32 0.752 -18.02511 13.02247 + 1300 | 1.122341 4.981714 0.23 0.822 -8.644572 10.88925 + 1301 | -1.797741 3.673761 -0.49 0.625 -9.000343 5.404862 + 1302 | -13.15186 3.032526 -4.34 0.000 -19.09729 -7.206434 + 1303 | -4.20596 3.148415 -1.34 0.182 -10.37859 1.966674 + 1304 | 2.295099 4.191358 0.55 0.584 -5.92228 10.51248 + 1305 | .5739717 4.800597 0.12 0.905 -8.837851 9.985795 + 1399 | -3.101581 9.163944 -0.34 0.735 -21.06798 14.86481 + | + house_administration | 1.13809 2.825 0.40 0.687 -4.400472 6.676652 + house_agriculture | 1.482412 2.320661 0.64 0.523 -3.067367 6.03219 + house_appropriations | 1.084423 4.39068 0.25 0.805 -7.523737 9.692583 + house_armedservices | 6.856531 2.331803 2.94 0.003 2.284908 11.42815 + house_budget | -3.263065 3.0851 -1.06 0.290 -9.311568 2.785437 + house_dc | -11.24007 4.90519 -2.29 0.022 -20.85695 -1.623181 + house_educlabor | 3.018144 .9081584 3.32 0.001 1.237652 4.798637 + house_energycommerce | 6.266125 .9260515 6.77 0.000 4.450552 8.081698 + house_foreignaffairs | 4.323634 2.76186 1.57 0.118 -1.091139 9.738407 + house_governmentop | -1.574682 3.464616 -0.45 0.649 -8.367244 5.21788 + house_intelligence | 1.799477 6.312965 0.29 0.776 -10.57743 14.17638 + house_interior | 13.41106 12.94801 1.04 0.300 -11.97421 38.79632 + house_judiciary | 2.999944 .9747034 3.08 0.002 1.088987 4.910902 + house_mmf | .4127375 10.20612 0.04 0.968 -19.59691 20.42238 + house_pocs | 1.460854 3.005773 0.49 0.627 -4.432123 7.35383 + house_pwt | 13.26566 7.690655 1.72 0.085 -1.812276 28.34359 + house_rules | -4.096596 2.834188 -1.45 0.148 -9.653171 1.45998 + house_sst | .7490053 6.220239 0.12 0.904 -11.4461 12.94411 + house_smallbusi | -9.55789 3.565486 -2.68 0.007 -16.54821 -2.567566 + house_soc | 0 (omitted) + house_veterans | -.3491949 1.609772 -0.22 0.828 -3.505237 2.806848 + house_waysandmeans | .9188606 .8099227 1.13 0.257 -.6690357 2.506757 +house_naturalresources | 7.987257 5.577429 1.43 0.152 -2.947588 18.9221 + house_bfs | -2.665533 1.634968 -1.63 0.103 -5.870974 .5399076 + house_eeo | -.3277648 2.47446 -0.13 0.895 -5.179075 4.523545 + house_govreform | 3.510517 2.035389 1.72 0.085 -.4799711 7.501004 + house_ir | -.4318646 3.025917 -0.14 0.887 -6.364335 5.500606 + house_natsecur | 17.0838 8.48013 2.01 0.044 .4580621 33.70955 + house_oversight | -1.51479 3.361627 -0.45 0.652 -8.105437 5.075856 + house_resources | 5.172425 4.717085 1.10 0.273 -4.075669 14.42052 + house_science | 2.219369 3.474173 0.64 0.523 -4.59193 9.030668 + house_transp | 8.810868 3.953015 2.23 0.026 1.060773 16.56096 + house_homeland | -5.970106 2.097751 -2.85 0.004 -10.08286 -1.857355 + sponsor_democrat | -.1312035 .7732035 -0.17 0.865 -1.64711 1.384703 + sponsor_rookie | -3.809471 .980744 -3.88 0.000 -5.732272 -1.886671 + sponsor_tenure_run | .3951622 .1438307 2.75 0.006 .1131744 .6771499 + sponsor_age | .0246719 .0439615 0.56 0.575 -.061517 .1108608 + leader | 3.638062 1.27505 2.85 0.004 1.13826 6.137864 + ivycoll | .5639805 1.04513 0.54 0.589 -1.485052 2.613013 + black | -2.239729 2.008468 -1.12 0.265 -6.177436 1.697979 + occ0 | .826122 1.151488 0.72 0.473 -1.43143 3.083674 + occ1 | 1.171251 1.248024 0.94 0.348 -1.275567 3.618068 + occ2 | -.0830542 1.048434 -0.08 0.937 -2.138565 1.972457 + occ3 | -1.232016 1.317171 -0.94 0.350 -3.814399 1.350367 + occ4 | .5258124 1.170537 0.45 0.653 -1.769088 2.820713 + borninstate | 1.428951 .6641918 2.15 0.032 .1267677 2.731134 + tot_bills | -.2525659 .020365 -12.40 0.000 -.2924926 -.2126392 + NE | -2.823022 1.087504 -2.60 0.009 -4.95513 -.6909133 + MW | -.0474586 1.026408 -0.05 0.963 -2.059786 1.964869 + WE | .3237437 1.147535 0.28 0.778 -1.92606 2.573547 + pct_black | 5.85195 4.413415 1.33 0.185 -2.800783 14.50468 + pct_urban | 1.129257 2.448976 0.46 0.645 -3.67209 5.930605 + pct_for_born | 3.376401 5.135416 0.66 0.511 -6.691854 13.44466 + pct_age_over65 | 14.58734 9.464572 1.54 0.123 -3.968455 33.14313 + lninc | 7.445676 2.148552 3.47 0.001 3.233326 11.65802 + lnpden | -.4133158 .3770145 -1.10 0.273 -1.152473 .3258412 + _cons | -55.23132 20.64876 -2.67 0.008 -95.71431 -14.74833 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,500 1 0 1 1 + + +j = 1 k = 2 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6187 +----------------------+---------------------- NN matches = 3 + Number of obs | 2193 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 29.70309 50.99673 .5824509 +---------------------------------------------- +reg numb_cosponsors sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 +> borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if sponsor_party==100 & tag_bill==1 & women_friend1==1, robust cluster +> (group_sponsor) +note: house_soc omitted because of collinearity +note: sponsor_democrat omitted because of collinearity + +Linear regression Number of obs = 11,721 + F(135, 2151) = 6.63 + Prob > F = 0.0000 + R-squared = 0.0806 + Root MSE = 36.542 + + (Std. Err. adjusted for 2,152 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 2.506031 1.103748 2.27 0.023 .3415067 4.670555 + | + v2 | + 102 | -1.073807 1.726365 -0.62 0.534 -4.459325 2.31171 + 103 | -8.059281 2.474421 -3.26 0.001 -12.91179 -3.206774 + 104 | -10.78806 2.850198 -3.79 0.000 -16.3775 -5.198633 + 105 | -3.742381 2.537043 -1.48 0.140 -8.717694 1.232931 + 106 | -2.398989 2.50143 -0.96 0.338 -7.304462 2.506484 + 107 | -.583494 2.58021 -0.23 0.821 -5.64346 4.476472 + 108 | -7.931359 7.64227 -1.04 0.299 -22.91837 7.055648 + 109 | -10.08138 7.707311 -1.31 0.191 -25.19593 5.033182 + 110 | -2.317505 7.647929 -0.30 0.762 -17.31561 12.6806 + 111 | -8.494483 7.609419 -1.12 0.264 -23.41707 6.428102 + | + minor | + 201 | -9.38337 5.916081 -1.59 0.113 -20.9852 2.218463 + 202 | 17.28443 6.9073 2.50 0.012 3.738751 30.83011 + 204 | 4.192227 10.2423 0.41 0.682 -15.89362 24.27807 + 205 | 58.94518 26.27949 2.24 0.025 7.409331 110.481 + 206 | -12.37979 5.024056 -2.46 0.014 -22.23231 -2.52728 + 207 | 9.403293 6.677821 1.41 0.159 -3.692365 22.49895 + 208 | -11.70828 4.220234 -2.77 0.006 -19.98444 -3.432113 + 209 | 13.29001 12.81267 1.04 0.300 -11.83651 38.41652 + 299 | -1.986693 10.94456 -0.18 0.856 -23.44971 19.47632 + 300 | -6.408709 5.316666 -1.21 0.228 -16.83505 4.017631 + 301 | -9.002528 4.247807 -2.12 0.034 -17.33276 -.6722927 + 302 | -3.92942 4.129171 -0.95 0.341 -12.027 4.168164 + 321 | -11.64486 4.294976 -2.71 0.007 -20.06759 -3.222119 + 322 | -15.08209 4.094289 -3.68 0.000 -23.11127 -7.052918 + 323 | 2.663296 5.387653 0.49 0.621 -7.902254 13.22885 + 324 | -14.87216 4.230141 -3.52 0.000 -23.16775 -6.576568 + 325 | -8.089964 4.321001 -1.87 0.061 -16.56374 .383811 + 331 | 6.006714 4.941208 1.22 0.224 -3.683328 15.69676 + 332 | -1.756855 4.175821 -0.42 0.674 -9.945921 6.432211 + 333 | 4.181996 5.648242 0.74 0.459 -6.894588 15.25858 + 334 | -.7777425 4.437862 -0.18 0.861 -9.48069 7.925205 + 335 | -6.093612 4.71653 -1.29 0.197 -15.34305 3.15582 + 336 | 3.946714 5.342507 0.74 0.460 -6.530304 14.42373 + 341 | -6.141266 4.723805 -1.30 0.194 -15.40497 3.122433 + 342 | -5.48557 7.619919 -0.72 0.472 -20.42874 9.457605 + 343 | -8.327789 5.112216 -1.63 0.103 -18.35319 1.697612 + 344 | -10.73767 5.637619 -1.90 0.057 -21.79342 .3180846 + 398 | 8.968657 4.909258 1.83 0.068 -.6587281 18.59604 + 399 | -5.093037 7.009647 -0.73 0.468 -18.83943 8.653353 + 500 | -12.89142 7.087333 -1.82 0.069 -26.79015 1.007321 + 501 | -12.78975 4.608044 -2.78 0.006 -21.82643 -3.75306 + 502 | -6.408114 5.226401 -1.23 0.220 -16.65744 3.841212 + 503 | -6.189773 4.016277 -1.54 0.123 -14.06596 1.686417 + 504 | 12.01922 6.472379 1.86 0.063 -.6735529 24.71199 + 505 | .0597757 5.39605 0.01 0.991 -10.52224 10.64179 + 506 | -1.352668 5.202917 -0.26 0.795 -11.55594 8.850604 + 508 | -7.49812 4.591988 -1.63 0.103 -16.50332 1.507077 + 529 | -10.53893 7.315386 -1.44 0.150 -24.88489 3.807038 + 530 | -11.01427 3.843225 -2.87 0.004 -18.55109 -3.477447 + 599 | -10.29263 6.519534 -1.58 0.115 -23.07788 2.492615 + 600 | -10.12123 4.452497 -2.27 0.023 -18.85288 -1.389588 + 601 | -8.679256 3.916912 -2.22 0.027 -16.36058 -.9979272 + 602 | -6.216122 3.993711 -1.56 0.120 -14.04806 1.615815 + 603 | -9.938139 4.531662 -2.19 0.028 -18.82503 -1.051243 + 604 | -14.49638 6.329872 -2.29 0.022 -26.90968 -2.083072 + 606 | -6.172156 6.366475 -0.97 0.332 -18.65724 6.31293 + 607 | -11.64716 4.232948 -2.75 0.006 -19.94826 -3.346068 + 609 | -11.68752 7.20608 -1.62 0.105 -25.81913 2.444089 + 698 | -25.16025 4.303369 -5.85 0.000 -33.59945 -16.72105 + 699 | -6.136584 5.593245 -1.10 0.273 -17.10531 4.832147 + 1200 | -4.640908 7.67236 -0.60 0.545 -19.68692 10.40511 + 1201 | -11.26947 4.795361 -2.35 0.019 -20.67349 -1.865443 + 1202 | -13.30182 5.30125 -2.51 0.012 -23.69793 -2.905709 + 1203 | -14.21994 4.165605 -3.41 0.001 -22.38897 -6.050908 + 1204 | -13.52999 4.216874 -3.21 0.001 -21.79956 -5.260416 + 1205 | -13.33577 4.396061 -3.03 0.002 -21.95674 -4.714798 + 1206 | -11.53745 5.263912 -2.19 0.029 -21.86034 -1.214564 + 1207 | -10.00041 4.562624 -2.19 0.029 -18.94802 -1.052796 + 1208 | -5.664789 3.996919 -1.42 0.157 -13.50302 2.173438 + 1209 | -7.294637 3.858826 -1.89 0.059 -14.86205 .2727806 + 1210 | -10.79865 4.366217 -2.47 0.013 -19.36109 -2.236199 + 1211 | -7.988748 5.252309 -1.52 0.128 -18.28888 2.311383 + 1299 | 1.457238 11.86221 0.12 0.902 -21.80536 24.71984 + 1300 | 1.610539 6.382799 0.25 0.801 -10.90656 14.12764 + 1301 | -4.639599 4.472037 -1.04 0.300 -13.40957 4.130368 + 1302 | -15.43684 4.054364 -3.81 0.000 -23.38772 -7.485957 + 1303 | -5.255016 4.560322 -1.15 0.249 -14.19811 3.688083 + 1304 | -3.020889 4.810819 -0.63 0.530 -12.45523 6.413452 + 1305 | -11.18164 5.11518 -2.19 0.029 -21.21286 -1.150431 + 1399 | 6.652289 19.94986 0.33 0.739 -32.47074 45.77532 + | + house_administration | 5.394911 3.985415 1.35 0.176 -2.420756 13.21058 + house_agriculture | -.6862591 2.749511 -0.25 0.803 -6.078236 4.705717 + house_appropriations | 12.26585 7.333933 1.67 0.095 -2.116488 26.64819 + house_armedservices | 6.725068 2.758816 2.44 0.015 1.314843 12.13529 + house_budget | -1.739573 4.237335 -0.41 0.681 -10.04927 6.570127 + house_dc | -18.54079 7.047377 -2.63 0.009 -32.36118 -4.72041 + house_educlabor | 4.472099 1.113782 4.02 0.000 2.287898 6.6563 + house_energycommerce | 4.021679 1.175961 3.42 0.001 1.715539 6.327818 + house_foreignaffairs | 3.789965 3.615625 1.05 0.295 -3.300519 10.88045 + house_governmentop | -8.609255 2.811247 -3.06 0.002 -14.1223 -3.096211 + house_intelligence | 4.550092 6.749103 0.67 0.500 -8.685355 17.78554 + house_interior | 14.46935 16.64072 0.87 0.385 -18.16422 47.10293 + house_judiciary | 2.498935 1.235731 2.02 0.043 .0755823 4.922287 + house_mmf | 4.321932 15.97945 0.27 0.787 -27.01484 35.65871 + house_pocs | 3.416831 3.685503 0.93 0.354 -3.81069 10.64435 + house_pwt | 20.7278 10.94577 1.89 0.058 -.7375921 42.1932 + house_rules | -5.451872 3.744835 -1.46 0.146 -12.79575 1.892003 + house_sst | 2.180526 7.509238 0.29 0.772 -12.5456 16.90665 + house_smallbusi | -8.298738 5.375451 -1.54 0.123 -18.84036 2.242884 + house_soc | 0 (omitted) + house_veterans | -1.06182 2.102419 -0.51 0.614 -5.184804 3.061165 + house_waysandmeans | -.2266409 1.000689 -0.23 0.821 -2.189059 1.735778 +house_naturalresources | 18.4447 7.909051 2.33 0.020 2.934516 33.95488 + house_bfs | -1.076339 2.115786 -0.51 0.611 -5.225539 3.072861 + house_eeo | -3.112867 2.541552 -1.22 0.221 -8.097023 1.871289 + house_govreform | 3.708468 2.775323 1.34 0.182 -1.734128 9.151063 + house_ir | 8.756175 5.03325 1.74 0.082 -1.114367 18.62672 + house_natsecur | 18.50756 10.30712 1.80 0.073 -1.705394 38.72052 + house_oversight | -5.883836 3.94048 -1.49 0.136 -13.61138 1.843711 + house_resources | 8.472228 6.687414 1.27 0.205 -4.642241 21.5867 + house_science | .7309005 4.182144 0.17 0.861 -7.470566 8.932367 + house_transp | 5.858796 4.104505 1.43 0.154 -2.190415 13.90801 + house_homeland | -7.899863 3.936635 -2.01 0.045 -15.61987 -.1798571 + sponsor_democrat | 0 (omitted) + sponsor_rookie | -5.395615 1.302053 -4.14 0.000 -7.949029 -2.8422 + sponsor_tenure_run | .6351482 .169475 3.75 0.000 .3027964 .9675001 + sponsor_age | -.0373014 .0566408 -0.66 0.510 -.1483778 .0737751 + leader | 6.167788 1.67859 3.67 0.000 2.875959 9.459616 + ivycoll | .4946018 1.27716 0.39 0.699 -2.009996 2.999199 + black | -3.747398 2.216424 -1.69 0.091 -8.093956 .5991592 + occ0 | -2.629937 1.464889 -1.80 0.073 -5.502683 .2428079 + occ1 | -.3017761 1.605891 -0.19 0.851 -3.451037 2.847485 + occ2 | -2.751835 1.341059 -2.05 0.040 -5.381742 -.1219286 + occ3 | -2.984813 1.765907 -1.69 0.091 -6.447876 .4782496 + occ4 | -2.563223 1.788941 -1.43 0.152 -6.071458 .9450118 + borninstate | 2.26402 .8633612 2.62 0.009 .57091 3.957129 + tot_bills | -.293141 .0260924 -11.23 0.000 -.3443099 -.2419721 + NE | -1.645241 1.517029 -1.08 0.278 -4.620237 1.329755 + MW | .3044318 1.396684 0.22 0.827 -2.434561 3.043424 + WE | 3.071581 1.566174 1.96 0.050 .0002078 6.142955 + pct_black | 8.688263 5.11285 1.70 0.089 -1.33838 18.71491 + pct_urban | 2.155899 3.18896 0.68 0.499 -4.097866 8.409664 + pct_for_born | 2.142694 6.329314 0.34 0.735 -10.26952 14.55491 + pct_age_over65 | 20.04083 13.97781 1.43 0.152 -7.3706 47.45225 + lninc | 6.35787 2.551423 2.49 0.013 1.354357 11.36138 + lnpden | -.55805 .4846628 -1.15 0.250 -1.508506 .3924064 + _cons | -37.34577 24.41077 -1.53 0.126 -85.21693 10.52538 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 827 1 0 1 1 + + +j = 1 k = 3 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 13.03771 22.75762 .5728944 +---------------------------------------------- +reg numb_cosponsors sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 +> borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if sponsor_party==200 & tag_bill==1 & women_friend1==1, robust cluster +> (group_sponsor) +note: house_soc omitted because of collinearity +note: sponsor_democrat omitted because of collinearity + +Linear regression Number of obs = 8,292 + F(134, 1868) = . + Prob > F = . + R-squared = 0.0698 + Root MSE = 39.07 + + (Std. Err. adjusted for 1,869 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 4.045121 1.866371 2.17 0.030 .3847305 7.705512 + | + v2 | + 102 | 1.015019 2.300343 0.44 0.659 -3.496493 5.526531 + 103 | -2.886984 3.511857 -0.82 0.411 -9.77456 4.000592 + 104 | .0240094 3.51575 0.01 0.995 -6.871201 6.91922 + 105 | 1.490785 3.229808 0.46 0.644 -4.843627 7.825197 + 106 | 3.129854 3.228817 0.97 0.332 -3.202614 9.462321 + 107 | 5.471905 3.387181 1.62 0.106 -1.171151 12.11496 + 108 | -8.393942 10.65927 -0.79 0.431 -29.29927 12.51138 + 109 | -9.108812 10.49014 -0.87 0.385 -29.68244 11.46482 + 110 | -17.35274 10.59927 -1.64 0.102 -38.1404 3.434917 + 111 | -18.09803 10.65478 -1.70 0.090 -38.99455 2.7985 + | + minor | + 201 | -6.896413 7.528262 -0.92 0.360 -21.6611 7.868276 + 202 | 9.415381 9.59496 0.98 0.327 -9.402588 28.23335 + 204 | -.5096121 4.415747 -0.12 0.908 -9.169928 8.150704 + 205 | 18.3233 18.31232 1.00 0.317 -17.59147 54.23806 + 206 | 14.63329 6.734668 2.17 0.030 1.425027 27.84156 + 207 | 14.73004 5.090754 2.89 0.004 4.745878 24.71421 + 208 | -2.400159 4.084679 -0.59 0.557 -10.41117 5.610855 + 209 | -19.19075 4.100256 -4.68 0.000 -27.23231 -11.14918 + 299 | 62.19333 17.71618 3.51 0.000 27.44774 96.93892 + 300 | -4.13292 5.917532 -0.70 0.485 -15.73859 7.472749 + 301 | -2.196588 4.491769 -0.49 0.625 -11.006 6.612826 + 302 | 1.199464 3.978522 0.30 0.763 -6.603351 9.002279 + 321 | .2184646 4.885637 0.04 0.964 -9.363416 9.800345 + 322 | -6.353133 4.235208 -1.50 0.134 -14.65937 1.953105 + 323 | 1.384007 5.41055 0.26 0.798 -9.227352 11.99537 + 324 | -6.921537 5.270528 -1.31 0.189 -17.25828 3.415205 + 325 | -5.625426 4.42926 -1.27 0.204 -14.31224 3.061392 + 331 | 11.6166 5.630799 2.06 0.039 .5732824 22.65992 + 332 | .1933042 4.486023 0.04 0.966 -8.604841 8.991449 + 333 | -4.37446 7.416534 -0.59 0.555 -18.92002 10.1711 + 334 | 5.346758 4.828616 1.11 0.268 -4.12329 14.81681 + 335 | -1.439667 5.669122 -0.25 0.800 -12.55815 9.678812 + 336 | 10.34357 6.514076 1.59 0.112 -2.43206 23.1192 + 341 | 1.399401 6.062363 0.23 0.817 -10.49032 13.28912 + 342 | 1.229861 10.50738 0.12 0.907 -19.37758 21.8373 + 343 | -12.41424 4.370555 -2.84 0.005 -20.98592 -3.842556 + 344 | 30.48078 12.68339 2.40 0.016 5.605671 55.35589 + 398 | 7.57674 4.963841 1.53 0.127 -2.158518 17.312 + 399 | -5.102405 9.464623 -0.54 0.590 -23.66475 13.45994 + 500 | -3.73605 5.60292 -0.67 0.505 -14.72469 7.252591 + 501 | 1.117706 5.101165 0.22 0.827 -8.886876 11.12229 + 502 | -6.299638 4.1164 -1.53 0.126 -14.37287 1.77359 + 503 | -1.210016 4.12963 -0.29 0.770 -9.30919 6.889157 + 504 | 11.2983 5.638563 2.00 0.045 .2397499 22.35684 + 505 | -3.105796 3.887151 -0.80 0.424 -10.72941 4.517819 + 506 | 2.486605 6.996725 0.36 0.722 -11.23561 16.20882 + 508 | -7.8642 3.973869 -1.98 0.048 -15.65789 -.0705103 + 529 | 6.824492 7.492295 0.91 0.362 -7.869658 21.51864 + 530 | -3.845083 3.601175 -1.07 0.286 -10.90783 3.217665 + 599 | 4.11461 9.380112 0.44 0.661 -14.28199 22.51121 + 600 | 4.352834 5.313621 0.82 0.413 -6.068424 14.77409 + 601 | -1.441292 3.746025 -0.38 0.700 -8.788127 5.905543 + 602 | .7281814 3.940243 0.18 0.853 -6.999559 8.455922 + 603 | 2.777785 5.586249 0.50 0.619 -8.178162 13.73373 + 604 | -5.75398 4.487972 -1.28 0.200 -14.55595 3.047988 + 606 | 2.78334 5.451524 0.51 0.610 -7.908378 13.47506 + 607 | 5.37285 5.215957 1.03 0.303 -4.856866 15.60257 + 609 | .1744064 5.539503 0.03 0.975 -10.68986 11.03867 + 698 | -6.788578 6.547239 -1.04 0.300 -19.62925 6.052095 + 699 | -6.817163 5.825137 -1.17 0.242 -18.24162 4.607298 + 1200 | -1.491775 6.594696 -0.23 0.821 -14.42552 11.44197 + 1201 | -6.589268 4.370324 -1.51 0.132 -15.1605 1.981962 + 1202 | -9.124806 4.820666 -1.89 0.059 -18.57926 .3296518 + 1203 | -7.353465 3.886647 -1.89 0.059 -14.97609 .2691624 + 1204 | -9.234441 3.832831 -2.41 0.016 -16.75152 -1.71736 + 1205 | -4.223407 4.538315 -0.93 0.352 -13.12411 4.677294 + 1206 | -11.0637 4.286788 -2.58 0.010 -19.4711 -2.656305 + 1207 | -5.97488 3.881126 -1.54 0.124 -13.58668 1.636921 + 1208 | 6.526979 4.809674 1.36 0.175 -2.905922 15.95988 + 1209 | 11.03377 4.040394 2.73 0.006 3.109608 18.95793 + 1210 | -1.918883 4.321476 -0.44 0.657 -10.39431 6.556545 + 1211 | .1562835 5.107764 0.03 0.976 -9.861242 10.17381 + 1299 | -8.248097 5.968438 -1.38 0.167 -19.95361 3.457412 + 1300 | .7067309 7.735034 0.09 0.927 -14.46349 15.87695 + 1301 | 3.110377 7.571642 0.41 0.681 -11.73939 17.96014 + 1302 | -9.603088 4.487743 -2.14 0.032 -18.4046 -.8015714 + 1303 | -1.033211 4.016046 -0.26 0.797 -8.90962 6.843199 + 1304 | 12.44935 7.563374 1.65 0.100 -2.384199 27.28291 + 1305 | 20.84091 9.508847 2.19 0.029 2.191825 39.48999 + 1399 | -9.266441 5.281074 -1.75 0.079 -19.62387 1.090985 + | + house_administration | -4.14157 3.266401 -1.27 0.205 -10.54775 2.264609 + house_agriculture | 3.965639 4.189144 0.95 0.344 -4.250256 12.18153 + house_appropriations | -1.835209 5.202772 -0.35 0.724 -12.03907 8.368648 + house_armedservices | 9.084296 4.204726 2.16 0.031 .8378413 17.33075 + house_budget | -5.497021 4.154062 -1.32 0.186 -13.64411 2.650069 + house_dc | -6.861278 5.287104 -1.30 0.195 -17.23053 3.507974 + house_educlabor | -.7162885 1.472548 -0.49 0.627 -3.604301 2.171724 + house_energycommerce | 9.02429 1.481641 6.09 0.000 6.118444 11.93014 + house_foreignaffairs | 4.740874 4.20839 1.13 0.260 -3.512766 12.99451 + house_governmentop | 13.62646 9.630335 1.41 0.157 -5.260891 32.5138 + house_intelligence | -7.125569 9.74892 -0.73 0.465 -26.24549 11.99435 + house_interior | 14.55841 9.816429 1.48 0.138 -4.693914 33.81073 + house_judiciary | 4.884267 1.530924 3.19 0.001 1.881765 7.886769 + house_mmf | 4.344789 8.921631 0.49 0.626 -13.15262 21.8422 + house_pocs | -8.321086 3.837624 -2.17 0.030 -15.84757 -.7946052 + house_pwt | -5.807302 6.134707 -0.95 0.344 -17.8389 6.224299 + house_rules | -1.685103 4.268784 -0.39 0.693 -10.05719 6.686985 + house_sst | -8.10158 11.05495 -0.73 0.464 -29.78293 13.57977 + house_smallbusi | -10.24845 4.977129 -2.06 0.040 -20.00977 -.4871343 + house_soc | 0 (omitted) + house_veterans | -1.147935 2.617651 -0.44 0.661 -6.281763 3.985894 + house_waysandmeans | 3.076507 1.328402 2.32 0.021 .4711985 5.681815 +house_naturalresources | 1.614833 5.954018 0.27 0.786 -10.06239 13.29206 + house_bfs | -6.443245 2.628773 -2.45 0.014 -11.59889 -1.287605 + house_eeo | 2.804391 4.209931 0.67 0.505 -5.452273 11.06105 + house_govreform | 3.296044 3.097873 1.06 0.287 -2.779611 9.371699 + house_ir | -9.72854 3.046878 -3.19 0.001 -15.70418 -3.752896 + house_natsecur | 15.91987 12.94926 1.23 0.219 -9.476663 41.3164 + house_oversight | 2.222945 6.529416 0.34 0.734 -10.58277 15.02866 + house_resources | .3154998 6.588991 0.05 0.962 -12.60706 13.23806 + house_science | 4.5443 6.259954 0.73 0.468 -7.73294 16.82154 + house_transp | 14.23693 8.012898 1.78 0.076 -1.478243 29.9521 + house_homeland | -3.255143 2.67721 -1.22 0.224 -8.50578 1.995493 + sponsor_democrat | 0 (omitted) + sponsor_rookie | -3.92075 1.510746 -2.60 0.010 -6.883678 -.9578232 + sponsor_tenure_run | -.122384 .2432996 -0.50 0.615 -.5995515 .3547836 + sponsor_age | .1088817 .0687642 1.58 0.113 -.025981 .2437443 + leader | -.0943203 1.736426 -0.05 0.957 -3.499859 3.311219 + ivycoll | .252228 1.833568 0.14 0.891 -3.34383 3.848286 + black | -7.240101 4.478355 -1.62 0.106 -16.02321 1.543004 + occ0 | 7.220258 1.901081 3.80 0.000 3.491793 10.94872 + occ1 | 6.431401 2.178931 2.95 0.003 2.158005 10.7048 + occ2 | 4.002229 1.659231 2.41 0.016 .7480875 7.256371 + occ3 | 1.498311 2.067972 0.72 0.469 -2.557467 5.554089 + occ4 | 5.782516 1.537612 3.76 0.000 2.766897 8.798135 + borninstate | 1.018946 1.073108 0.95 0.342 -1.085671 3.123563 + tot_bills | -.2048667 .0427438 -4.79 0.000 -.2886972 -.1210361 + NE | -2.883668 1.666686 -1.73 0.084 -6.152431 .3850955 + MW | 1.479983 1.518325 0.97 0.330 -1.497808 4.457775 + WE | -2.855397 1.755204 -1.63 0.104 -6.297764 .5869697 + pct_black | 12.31777 9.404361 1.31 0.190 -6.126393 30.76193 + pct_urban | 6.452479 4.1831 1.54 0.123 -1.751563 14.65652 + pct_for_born | 4.134016 9.981909 0.41 0.679 -15.44285 23.71088 + pct_age_over65 | 15.26009 14.01474 1.09 0.276 -12.2261 42.74628 + lninc | 9.290387 4.000399 2.32 0.020 1.444665 17.13611 + lnpden | -1.099264 .6781288 -1.62 0.105 -2.429233 .2307063 + _cons | -88.61371 38.71863 -2.29 0.022 -164.55 -12.67739 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 668 1 0 1 1 + + +j = 2 k = 1 + + +rdbwselect_2014 numb_cosponsors MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11990 +----------------------+---------------------- NN matches = 3 + Number of obs | 6151 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 25.22792 46.13311 .5468506 +---------------------------------------------- +reg numb_cosponsors sponsor_female i.v2 MV1_female femaleXMV1_female if tag_bill==1 & sample==1 & abs(MV1_female)<=25.22792045028557 & women_friend1==1, robust clus +> ter(group_sponsor) + +Linear regression Number of obs = 1,563 + F(13, 345) = 1.14 + Prob > F = 0.3206 + R-squared = 0.0104 + Root MSE = 36.045 + + (Std. Err. adjusted for 346 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | 7.249709 5.203234 1.39 0.164 -2.984344 17.48376 + | + v2 | + 102 | 7.534243 5.053968 1.49 0.137 -2.406225 17.47471 + 103 | 2.750727 5.538055 0.50 0.620 -8.141873 13.64333 + 104 | 3.6834 5.879363 0.63 0.531 -7.880507 15.24731 + 105 | 7.406562 5.72604 1.29 0.197 -3.855779 18.6689 + 106 | 5.855035 5.858364 1.00 0.318 -5.66757 17.37764 + 107 | 9.437478 5.935454 1.59 0.113 -2.236752 21.11171 + 108 | 7.675856 6.743503 1.14 0.256 -5.587696 20.93941 + 109 | 3.799474 5.477793 0.69 0.488 -6.974598 14.57355 + 110 | 2.10713 5.362206 0.39 0.695 -8.439598 12.65386 + 111 | .3050217 5.14257 0.06 0.953 -9.809713 10.41976 + | + MV1_female | -.2355486 .188343 -1.25 0.212 -.6059937 .1348965 +femaleXMV1_female | .1906595 .3493365 0.55 0.586 -.4964379 .8777569 + _cons | 11.60552 5.17496 2.24 0.026 1.427082 21.78397 +----------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 125 1 0 1 1 + + +j = 2 k = 2 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6187 +----------------------+---------------------- NN matches = 3 + Number of obs | 2193 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 29.70309 50.99673 .5824509 +---------------------------------------------- +reg numb_cosponsors sponsor_female i.v2 MV1_female femaleXMV1_female if sponsor_party==100 & tag_bill==1 & sample==1 & abs(MV1_female)<=29.70309229792213 & women_fr +> iend1==1, robust cluster(group_sponsor) + +Linear regression Number of obs = 885 + F(13, 173) = 1.60 + Prob > F = 0.0896 + R-squared = 0.0206 + Root MSE = 35.517 + + (Std. Err. adjusted for 174 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | 2.147987 6.604359 0.33 0.745 -10.88751 15.18348 + | + v2 | + 102 | 10.74087 5.304314 2.02 0.044 .2713689 21.21037 + 103 | 1.228406 4.441199 0.28 0.782 -7.537504 9.994317 + 104 | 6.901549 6.753345 1.02 0.308 -6.428009 20.23111 + 105 | 11.69103 6.709794 1.74 0.083 -1.552569 24.93463 + 106 | 18.52157 7.247799 2.56 0.011 4.216068 32.82706 + 107 | 9.427432 7.419656 1.27 0.206 -5.217272 24.07214 + 108 | 8.737991 9.305003 0.94 0.349 -9.627957 27.10394 + 109 | 11.55646 7.409519 1.56 0.121 -3.068234 26.18116 + 110 | 8.653107 5.871357 1.47 0.142 -2.935609 20.24182 + 111 | 1.280272 4.740839 0.27 0.787 -8.077059 10.6376 + | + MV1_female | .0423717 .2846518 0.15 0.882 -.5194659 .6042093 +femaleXMV1_female | -.0705438 .4331998 -0.16 0.871 -.9255811 .7844935 + _cons | 12.04562 7.022669 1.72 0.088 -1.815523 25.90676 +----------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 72 1 0 1 1 + + +j = 2 k = 3 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 13.03771 22.75762 .5728944 +---------------------------------------------- +reg numb_cosponsors sponsor_female i.v2 MV1_female femaleXMV1_female if sponsor_party==200 & tag_bill==1 & sample==1 & abs(MV1_female)<=13.03771312568893 & women_fr +> iend1==1, robust cluster(group_sponsor) + +Linear regression Number of obs = 388 + F(13, 83) = 5.11 + Prob > F = 0.0000 + R-squared = 0.0650 + Root MSE = 31.515 + + (Std. Err. adjusted for 84 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | 17.06819 12.38658 1.38 0.172 -7.568218 41.70461 + | + v2 | + 102 | .7094864 8.704934 0.08 0.935 -16.60428 18.02325 + 103 | 4.253524 11.55553 0.37 0.714 -18.72995 27.237 + 104 | 2.494313 4.688961 0.53 0.596 -6.831841 11.82047 + 105 | -1.692292 6.543864 -0.26 0.797 -14.70778 11.32319 + 106 | -5.801341 5.223169 -1.11 0.270 -16.19001 4.587332 + 107 | 10.6994 7.780415 1.38 0.173 -4.775535 26.17433 + 108 | 21.09379 8.040502 2.62 0.010 5.10155 37.08602 + 109 | 1.457844 6.08203 0.24 0.811 -10.63907 13.55476 + 110 | -6.00155 5.713365 -1.05 0.297 -17.3652 5.362103 + 111 | 8.237063 6.920511 1.19 0.237 -5.527555 22.00168 + | + MV1_female | .0478337 .6674572 0.07 0.943 -1.279712 1.375379 +femaleXMV1_female | -1.509317 1.621203 -0.93 0.355 -4.733824 1.71519 + _cons | 15.39023 6.038867 2.55 0.013 3.379166 27.40129 +----------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 32 1 0 1 1 + + +j = 3 k = 1 + + +rdbwselect_2014 numb_cosponsors MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11990 +----------------------+---------------------- NN matches = 3 + Number of obs | 6151 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 25.22792 46.13311 .5468506 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(58,109 missing values generated) +(59,925 missing values generated) +(1,816 real changes made) +reg numb_cosponsors sponsor_female i.v2 MV1_female femaleXMV1_female i.minor house_* [aw=wt] if tag_bill==1 & sample==1 & women_friend1==1 & abs(MV1_female)<=25.227 +> 92045028557, robust cluster(group_sponsor) +(sum of wgt is 3,236.95740294456) +note: house_smallbusi omitted because of collinearity +note: house_soc omitted because of collinearity + +Linear regression Number of obs = 1,563 + F(109, 345) = . + Prob > F = . + R-squared = 0.0907 + Root MSE = 36.104 + + (Std. Err. adjusted for 346 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 3.026443 4.668829 0.65 0.517 -6.156508 12.2094 + | + v2 | + 102 | 7.587698 6.048391 1.25 0.211 -4.308665 19.48406 + 103 | 1.063359 6.251717 0.17 0.865 -11.23292 13.35964 + 104 | 1.641905 8.767971 0.19 0.852 -15.6035 18.88731 + 105 | 3.258519 5.865713 0.56 0.579 -8.278539 14.79558 + 106 | 4.974814 5.906312 0.84 0.400 -6.642098 16.59173 + 107 | 6.182791 6.576235 0.94 0.348 -6.751769 19.11735 + 108 | 5.413321 7.712762 0.70 0.483 -9.756633 20.58327 + 109 | -.74114 6.09122 -0.12 0.903 -12.72174 11.23946 + 110 | -.8937869 5.777449 -0.15 0.877 -12.25724 10.46967 + 111 | -2.097327 5.829373 -0.36 0.719 -13.56291 9.368257 + | + MV1_female | -.0921697 .1860181 -0.50 0.621 -.4580419 .2737026 + femaleXMV1_female | .1652499 .3308446 0.50 0.618 -.4854764 .8159762 + | + minor | + 201 | -3.537603 13.07609 -0.27 0.787 -29.2565 22.18129 + 202 | 21.77279 19.03352 1.14 0.253 -15.66355 59.20912 + 204 | -1.226322 11.62585 -0.11 0.916 -24.09278 21.64014 + 205 | 36.49818 47.14464 0.77 0.439 -56.22892 129.2253 + 206 | 15.50269 16.58332 0.93 0.351 -17.11444 48.11982 + 207 | 17.7327 9.685258 1.83 0.068 -1.316887 36.78228 + 208 | 5.388453 8.898568 0.61 0.545 -12.11382 22.89073 + 209 | -12.53635 7.686079 -1.63 0.104 -27.65382 2.58112 + 299 | 29.28596 7.920411 3.70 0.000 13.70759 44.86433 + 300 | 18.02364 23.07896 0.78 0.435 -27.36952 63.41681 + 301 | .3874748 8.050799 0.05 0.962 -15.44735 16.2223 + 302 | 11.35769 8.531429 1.33 0.184 -5.422467 28.13785 + 321 | -1.159207 9.856504 -0.12 0.906 -20.54561 18.2272 + 322 | -.8827017 7.745331 -0.11 0.909 -16.11671 14.35131 + 323 | 8.466474 13.34436 0.63 0.526 -17.78007 34.71302 + 324 | -8.842554 7.495621 -1.18 0.239 -23.58542 5.900312 + 325 | 16.15856 14.23488 1.14 0.257 -11.83951 44.15662 + 331 | 25.51304 12.75893 2.00 0.046 .4179619 50.60812 + 332 | 3.837468 8.013026 0.48 0.632 -11.92306 19.598 + 333 | 11.99065 12.91437 0.93 0.354 -13.41015 37.39145 + 334 | 19.7406 14.63027 1.35 0.178 -9.035148 48.51635 + 335 | 1.265325 12.69242 0.10 0.921 -23.69894 26.22959 + 336 | 33.72739 20.01825 1.68 0.093 -5.645783 73.10056 + 341 | -2.358221 8.267739 -0.29 0.776 -18.61974 13.9033 + 342 | -8.032802 12.38049 -0.65 0.517 -32.38353 16.31793 + 343 | -3.371372 7.214679 -0.47 0.641 -17.56166 10.81892 + 344 | -7.235482 7.638372 -0.95 0.344 -22.25912 7.788156 + 398 | 11.66235 8.231335 1.42 0.157 -4.527563 27.85227 + 399 | .7793568 10.34247 0.08 0.940 -19.56288 21.12159 + 500 | -19.15708 11.08088 -1.73 0.085 -40.95167 2.637505 + 501 | -4.129824 7.61929 -0.54 0.588 -19.11593 10.85628 + 502 | 4.026933 9.489249 0.42 0.672 -14.63713 22.69099 + 503 | 7.82985 8.228111 0.95 0.342 -8.353724 24.01342 + 504 | 27.02995 18.47505 1.46 0.144 -9.307963 63.36786 + 505 | 13.71342 11.81308 1.16 0.246 -9.521308 36.94815 + 506 | 1.507571 9.377546 0.16 0.872 -16.93679 19.95193 + 508 | 4.321245 7.49271 0.58 0.565 -10.4159 19.05839 + 530 | -.6552065 7.575802 -0.09 0.931 -15.55578 14.24536 + 599 | -1.439241 11.13593 -0.13 0.897 -23.34211 20.46362 + 600 | .1197272 7.650783 0.02 0.988 -14.92832 15.16778 + 601 | 1.600332 7.568649 0.21 0.833 -13.28617 16.48684 + 602 | 7.827339 7.554874 1.04 0.301 -7.03207 22.68675 + 603 | 10.32915 11.62145 0.89 0.375 -12.52866 33.18696 + 604 | -4.406714 8.275742 -0.53 0.595 -20.68397 11.87054 + 606 | 5.518314 11.99456 0.46 0.646 -18.07336 29.10998 + 607 | -1.418867 7.117572 -0.20 0.842 -15.41816 12.58043 + 609 | -3.189641 9.594733 -0.33 0.740 -22.06117 15.68189 + 698 | .1758716 10.44082 0.02 0.987 -20.35979 20.71154 + 699 | 7.846284 8.29008 0.95 0.345 -8.459175 24.15174 + 1200 | -17.61705 8.601415 -2.05 0.041 -34.53487 -.6992414 + 1201 | 2.527626 10.46424 0.24 0.809 -18.05411 23.10936 + 1202 | -5.260601 8.978647 -0.59 0.558 -22.92038 12.39918 + 1203 | -4.793533 8.699274 -0.55 0.582 -21.90382 12.31675 + 1204 | -3.923455 8.743189 -0.45 0.654 -21.12012 13.27321 + 1205 | -2.672692 10.2656 -0.26 0.795 -22.86373 17.51835 + 1206 | -4.101882 8.016943 -0.51 0.609 -19.87012 11.66635 + 1207 | -.3775227 8.442985 -0.04 0.964 -16.98372 16.22868 + 1208 | 5.484438 8.445108 0.65 0.516 -11.12594 22.09482 + 1209 | 6.71553 6.446709 1.04 0.298 -5.96427 19.39533 + 1210 | 11.97062 17.62777 0.68 0.498 -22.70079 46.64204 + 1211 | 44.44836 33.3753 1.33 0.184 -21.19632 110.093 + 1299 | 1.582076 11.61674 0.14 0.892 -21.26646 24.43061 + 1300 | 2.803401 9.015403 0.31 0.756 -14.92867 20.53547 + 1301 | 8.585529 10.14192 0.85 0.398 -11.36225 28.53331 + 1302 | 10.89221 17.4165 0.63 0.532 -23.36368 45.14809 + 1303 | 4.289222 7.6462 0.56 0.575 -10.74981 19.32826 + 1304 | 23.60106 16.43279 1.44 0.152 -8.720004 55.92212 + 1305 | 31.09643 24.8868 1.25 0.212 -17.85251 80.04538 + 1399 | -7.440337 7.732951 -0.96 0.337 -22.65 7.769325 + | + house_administration | 2.860393 6.959901 0.41 0.681 -10.82879 16.54957 + house_agriculture | 6.26649 8.665949 0.72 0.470 -10.77825 23.31123 + house_appropriations | 8.045079 7.646858 1.05 0.294 -6.99525 23.08541 + house_armedservices | 19.14013 10.91499 1.75 0.080 -2.328168 40.60842 + house_budget | -13.17992 11.06942 -1.19 0.235 -34.95197 8.592126 + house_dc | -22.58089 9.678265 -2.33 0.020 -41.61672 -3.545056 + house_educlabor | 1.412168 3.082345 0.46 0.647 -4.650386 7.474722 + house_energycommerce | 3.333137 4.046772 0.82 0.411 -4.626312 11.29259 + house_foreignaffairs | 20.11861 10.19117 1.97 0.049 .0739714 40.16325 + house_governmentop | -10.58652 10.33421 -1.02 0.306 -30.9125 9.739459 + house_intelligence | 6.333602 13.41236 0.47 0.637 -20.04669 32.71389 + house_interior | -1.645614 10.87032 -0.15 0.880 -23.02606 19.73483 + house_judiciary | 7.006019 3.395486 2.06 0.040 .3275601 13.68448 + house_mmf | -47.58046 32.50553 -1.46 0.144 -111.5144 16.35349 + house_pocs | -16.01694 4.809756 -3.33 0.001 -25.47708 -6.556805 + house_pwt | 13.62369 18.10213 0.75 0.452 -21.98075 49.22812 + house_rules | -2.789863 7.787425 -0.36 0.720 -18.10667 12.52694 + house_sst | -18.07563 31.12976 -0.58 0.562 -79.30363 43.15237 + house_smallbusi | 0 (omitted) + house_soc | 0 (omitted) + house_veterans | -.7090465 6.644374 -0.11 0.915 -13.77763 12.35953 + house_waysandmeans | 1.307243 2.947312 0.44 0.658 -4.489719 7.104205 +house_naturalresources | -6.555072 25.29446 -0.26 0.796 -56.30582 43.19568 + house_bfs | 6.955971 7.271905 0.96 0.339 -7.346875 21.25882 + house_eeo | -6.807412 6.73528 -1.01 0.313 -20.05479 6.439966 + house_govreform | 3.760518 5.504775 0.68 0.495 -7.066626 14.58766 + house_ir | -1.099161 5.792051 -0.19 0.850 -12.49134 10.29301 + house_natsecur | .4882954 7.874328 0.06 0.951 -14.99944 15.97603 + house_oversight | -9.938635 5.497768 -1.81 0.072 -20.752 .8747265 + house_resources | 8.016013 17.91827 0.45 0.655 -27.22679 43.25881 + house_science | -4.998523 8.187499 -0.61 0.542 -21.10222 11.10517 + house_transp | 2.448982 7.634184 0.32 0.749 -12.56642 17.46438 + house_homeland | .8530899 6.15065 0.14 0.890 -11.2444 12.95058 + _cons | 6.084655 7.318417 0.83 0.406 -8.309675 20.47898 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 125 1 0 1 1 + + +j = 3 k = 2 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6187 +----------------------+---------------------- NN matches = 3 + Number of obs | 2193 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 29.70309 50.99673 .5824509 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(59,825 missing values generated) +(60,547 missing values generated) +(722 real changes made) +reg numb_cosponsors sponsor_female i.v2 MV1_female femaleXMV1_female i.minor house_* [aw=wt] if sponsor_party==100 & tag_bill==1 & sample==1 & women_friend1==1 & ab +> s(MV1_female)<=29.70309229792213, robust cluster(group_sponsor) +(sum of wgt is 1,764.03508281708) +note: house_foreignaffairs omitted because of collinearity +note: house_smallbusi omitted because of collinearity +note: house_soc omitted because of collinearity + +Linear regression Number of obs = 885 + F(92, 173) = . + Prob > F = . + R-squared = 0.1672 + Root MSE = 33.581 + + (Std. Err. adjusted for 174 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -2.308432 6.275066 -0.37 0.713 -14.69398 10.07711 + | + v2 | + 102 | 11.48126 6.829648 1.68 0.095 -1.998905 24.96142 + 103 | 5.555161 5.509388 1.01 0.315 -5.319111 16.42943 + 104 | 6.765058 8.741969 0.77 0.440 -10.48959 24.01971 + 105 | 8.919921 7.252108 1.23 0.220 -5.394082 23.23392 + 106 | 15.88733 7.062107 2.25 0.026 1.948349 29.82632 + 107 | 8.001874 7.986267 1.00 0.318 -7.761192 23.76494 + 108 | 11.07416 9.916112 1.12 0.266 -8.497976 30.6463 + 109 | 11.63454 7.323716 1.59 0.114 -2.820804 26.08988 + 110 | 11.33556 6.262825 1.81 0.072 -1.025824 23.69695 + 111 | .8457287 5.405665 0.16 0.876 -9.823819 11.51528 + | + MV1_female | .0307586 .2452048 0.13 0.900 -.4532196 .5147368 + femaleXMV1_female | .1456579 .404113 0.36 0.719 -.6519687 .9432845 + | + minor | + 202 | -21.8301 33.78313 -0.65 0.519 -88.51028 44.85008 + 205 | 152.7133 38.64619 3.95 0.000 76.43457 228.992 + 206 | -26.5305 24.49209 -1.08 0.280 -74.87228 21.81128 + 207 | 19.89472 27.9587 0.71 0.478 -35.28937 75.07881 + 208 | -26.1465 27.06495 -0.97 0.335 -79.56653 27.27353 + 300 | -26.1254 35.3284 -0.74 0.461 -95.85558 43.60478 + 301 | -35.94791 35.25638 -1.02 0.309 -105.5359 33.64012 + 302 | -26.42809 32.69966 -0.81 0.420 -90.96975 38.11356 + 321 | -32.10435 35.93312 -0.89 0.373 -103.0281 38.81942 + 322 | -36.26879 31.21671 -1.16 0.247 -97.88344 25.34587 + 323 | -29.96573 34.31833 -0.87 0.384 -97.70226 37.7708 + 324 | -22.96895 22.99026 -1.00 0.319 -68.34647 22.40857 + 325 | -22.30325 34.41562 -0.65 0.518 -90.23182 45.62532 + 331 | -17.96467 36.24168 -0.50 0.621 -89.49745 53.56812 + 332 | -24.17848 29.12979 -0.83 0.408 -81.67403 33.31707 + 333 | -2.134271 40.42339 -0.05 0.958 -81.9208 77.65226 + 334 | -18.83639 33.54172 -0.56 0.575 -85.04008 47.36729 + 335 | -26.62435 36.18213 -0.74 0.463 -98.0396 44.79089 + 336 | -1.979268 40.58129 -0.05 0.961 -82.07746 78.11892 + 341 | -37.06983 33.45199 -1.11 0.269 -103.0964 28.95674 + 342 | -39.88749 30.67999 -1.30 0.195 -100.4428 20.6678 + 343 | -34.13565 31.05244 -1.10 0.273 -95.42606 27.15477 + 344 | -30.88312 29.6654 -1.04 0.299 -89.43584 27.66961 + 398 | -28.3645 31.0004 -0.91 0.361 -89.55221 32.82321 + 399 | -44.38321 34.93467 -1.27 0.206 -113.3363 24.56984 + 500 | -49.33198 34.78419 -1.42 0.158 -117.988 19.32406 + 501 | -25.91397 27.15194 -0.95 0.341 -79.50569 27.67775 + 502 | -32.17052 31.42417 -1.02 0.307 -94.19465 29.85361 + 503 | -33.50255 30.799 -1.09 0.278 -94.29273 27.28763 + 504 | -10.99422 33.94982 -0.32 0.746 -78.0034 56.01496 + 505 | -8.522627 33.57228 -0.25 0.800 -74.78663 57.74138 + 506 | -15.71146 29.69883 -0.53 0.597 -74.33016 42.90723 + 508 | -22.12785 30.34663 -0.73 0.467 -82.02517 37.76946 + 530 | -27.31067 25.61072 -1.07 0.288 -77.86037 23.23903 + 600 | -25.87019 29.90166 -0.87 0.388 -84.88923 33.14886 + 601 | -28.62419 30.70087 -0.93 0.352 -89.22069 31.9723 + 602 | -22.10643 30.11668 -0.73 0.464 -81.54987 37.337 + 603 | -22.71751 30.83779 -0.74 0.462 -83.58425 38.14923 + 604 | -29.25457 30.49049 -0.96 0.339 -89.43581 30.92668 + 606 | -39.75759 36.91108 -1.08 0.283 -112.6116 33.09644 + 607 | -35.47257 30.37283 -1.17 0.244 -95.4216 24.47645 + 609 | -38.54566 39.3176 -0.98 0.328 -116.1496 39.05829 + 698 | -42.14524 36.12832 -1.17 0.245 -113.4543 29.1638 + 699 | -20.30809 30.04154 -0.68 0.500 -79.60322 38.98703 + 1200 | -37.5243 30.22989 -1.24 0.216 -97.19119 22.14259 + 1201 | -20.92419 26.34038 -0.79 0.428 -72.91408 31.0657 + 1202 | -40.46054 29.157 -1.39 0.167 -98.0098 17.08871 + 1203 | -34.00287 31.40749 -1.08 0.280 -95.99407 27.98833 + 1204 | -18.31771 26.53705 -0.69 0.491 -70.69578 34.06036 + 1205 | -6.443608 31.40089 -0.21 0.838 -68.42179 55.53458 + 1206 | -34.08551 28.77556 -1.18 0.238 -90.88189 22.71087 + 1207 | -22.94152 27.84933 -0.82 0.411 -77.90973 32.0267 + 1208 | -15.00475 26.33504 -0.57 0.570 -66.98409 36.97459 + 1209 | -17.19438 25.33558 -0.68 0.498 -67.20102 32.81226 + 1210 | -15.12213 26.65765 -0.57 0.571 -67.73824 37.49398 + 1211 | -36.60807 40.40752 -0.91 0.366 -116.3633 43.14713 + 1299 | -11.41866 29.89319 -0.38 0.703 -70.42099 47.58367 + 1300 | -34.58051 30.07681 -1.15 0.252 -93.94526 24.78424 + 1301 | -20.47871 29.68634 -0.69 0.491 -79.07276 38.11534 + 1302 | -27.75415 31.27772 -0.89 0.376 -89.48923 33.98092 + 1303 | -23.07737 30.25179 -0.76 0.447 -82.78749 36.63274 + 1304 | 14.66794 38.59318 0.38 0.704 -61.50618 90.84206 + 1305 | 10.8039 41.86553 0.26 0.797 -71.82909 93.43688 + 1399 | -33.2731 29.52971 -1.13 0.261 -91.558 25.01179 + | + house_administration | -.6129414 11.59063 -0.05 0.958 -23.4902 22.26431 + house_agriculture | -5.254402 10.24404 -0.51 0.609 -25.4738 14.965 + house_appropriations | 11.10536 8.564675 1.30 0.196 -5.799355 28.01007 + house_armedservices | 12.41444 15.32043 0.81 0.419 -17.82457 42.65346 + house_budget | -31.96153 12.03082 -2.66 0.009 -55.70763 -8.21544 + house_dc | -23.3814 11.64195 -2.01 0.046 -46.35995 -.4028448 + house_educlabor | 7.998134 5.181912 1.54 0.125 -2.229776 18.22604 + house_energycommerce | 10.76892 7.361594 1.46 0.145 -3.761182 25.29903 + house_foreignaffairs | 0 (omitted) + house_governmentop | -51.38194 25.32579 -2.03 0.044 -101.3693 -1.394612 + house_intelligence | 14.57045 24.5397 0.59 0.553 -33.8653 63.0062 + house_interior | -8.286592 13.89894 -0.60 0.552 -35.71992 19.14673 + house_judiciary | -1.127477 5.030466 -0.22 0.823 -11.05647 8.801513 + house_mmf | 16.68467 19.82364 0.84 0.401 -22.44266 55.812 + house_pocs | -14.69281 6.037716 -2.43 0.016 -26.60988 -2.775737 + house_pwt | 9.562252 9.242098 1.03 0.302 -8.679535 27.80404 + house_rules | 30.60383 13.22273 2.31 0.022 4.505191 56.70248 + house_sst | 7.454687 10.64425 0.70 0.485 -13.55462 28.46399 + house_smallbusi | 0 (omitted) + house_soc | 0 (omitted) + house_veterans | 13.49169 10.22873 1.32 0.189 -6.697485 33.68087 + house_waysandmeans | 4.168018 5.070839 0.82 0.412 -5.840658 14.17669 +house_naturalresources | -41.09626 21.68814 -1.89 0.060 -83.90369 1.711161 + house_bfs | -4.759342 8.84137 -0.54 0.591 -22.21018 12.6915 + house_eeo | -3.53933 7.418949 -0.48 0.634 -18.18264 11.10398 + house_govreform | 7.010237 14.69307 0.48 0.634 -21.99053 36.011 + house_ir | 10.03086 6.251256 1.60 0.110 -2.307693 22.36941 + house_natsecur | 5.512783 10.34493 0.53 0.595 -14.90574 25.93131 + house_oversight | -4.110803 14.0545 -0.29 0.770 -31.85117 23.62957 + house_resources | .1006501 21.16642 0.00 0.996 -41.67702 41.87832 + house_science | 13.53668 12.61297 1.07 0.285 -11.35845 38.4318 + house_transp | 14.91576 9.592962 1.55 0.122 -4.018552 33.85007 + house_homeland | -7.793725 6.387052 -1.22 0.224 -20.40031 4.812856 + _cons | 28.18112 27.43018 1.03 0.306 -25.95978 82.32202 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 72 1 0 1 1 + + +j = 3 k = 3 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 13.03771 22.75762 .5728944 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(60,738 missing values generated) +(61,776 missing values generated) +(1,038 real changes made) +reg numb_cosponsors sponsor_female i.v2 MV1_female femaleXMV1_female i.minor house_* [aw=wt] if sponsor_party==200 & tag_bill==1 & sample==1 & women_friend1==1 & ab +> s(MV1_female)<=13.03771312568893, robust cluster(group_sponsor) +(sum of wgt is 699.5198518037796) +note: house_dc omitted because of collinearity +note: house_interior omitted because of collinearity +note: house_mmf omitted because of collinearity +note: house_pocs omitted because of collinearity +note: house_sst omitted because of collinearity +note: house_smallbusi omitted because of collinearity +note: house_soc omitted because of collinearity +note: house_naturalresources omitted because of collinearity +note: house_natsecur omitted because of collinearity +note: house_science omitted because of collinearity + +Linear regression Number of obs = 374 + F(70, 81) = . + Prob > F = . + R-squared = 0.3657 + Root MSE = 29.652 + + (Std. Err. adjusted for 82 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 19.68477 9.821774 2.00 0.048 .1425181 39.22702 + | + v2 | + 103 | 15.11242 20.3732 0.74 0.460 -25.42386 55.64871 + 104 | 11.16068 10.15802 1.10 0.275 -9.050596 31.37196 + 105 | 2.487204 7.774757 0.32 0.750 -12.98212 17.95653 + 106 | .114335 7.199911 0.02 0.987 -14.21123 14.4399 + 107 | 15.07761 8.14731 1.85 0.068 -1.132984 31.2882 + 108 | 25.20077 11.19551 2.25 0.027 2.925219 47.47633 + 109 | 3.214858 8.840037 0.36 0.717 -14.37404 20.80376 + 110 | -8.14139 7.227193 -1.13 0.263 -22.52124 6.238457 + 111 | 8.990385 9.533762 0.94 0.348 -9.978811 27.95958 + | + MV1_female | -.3404319 .8729067 -0.39 0.698 -2.077242 1.396379 + femaleXMV1_female | -1.314399 1.676862 -0.78 0.435 -4.650829 2.02203 + | + minor | + 202 | 114.6034 18.52358 6.19 0.000 77.74732 151.4595 + 204 | -39.47977 34.55395 -1.14 0.257 -108.2313 29.27175 + 206 | -13.8556 27.40423 -0.51 0.615 -68.38144 40.67023 + 207 | 4.415921 13.28167 0.33 0.740 -22.01043 30.84227 + 208 | 9.666149 13.27473 0.73 0.469 -16.7464 36.0787 + 209 | -7.089385 9.701633 -0.73 0.467 -26.39259 12.21382 + 300 | 57.02849 57.4134 0.99 0.324 -57.20617 171.2632 + 301 | 8.707207 14.75403 0.59 0.557 -20.64869 38.0631 + 302 | 31.38109 12.3771 2.54 0.013 6.754537 56.00764 + 321 | 10.35983 14.37087 0.72 0.473 -18.23369 38.95335 + 322 | 9.661267 14.30478 0.68 0.501 -18.80076 38.1233 + 323 | .6017564 11.99509 0.05 0.960 -23.26472 24.46823 + 324 | -8.849912 12.02631 -0.74 0.464 -32.77849 15.07867 + 325 | 47.7963 30.18802 1.58 0.117 -12.26839 107.861 + 331 | 53.07827 15.45746 3.43 0.001 22.32277 83.83377 + 332 | 11.1524 12.28628 0.91 0.367 -13.29344 35.59823 + 333 | 22.58597 13.08728 1.73 0.088 -3.453605 48.62555 + 334 | 24.69282 20.58633 1.20 0.234 -16.26751 65.65315 + 335 | -9.543131 9.875171 -0.97 0.337 -29.19162 10.10536 + 336 | 11.34245 10.17675 1.11 0.268 -8.906099 31.59099 + 341 | 11.17321 12.92836 0.86 0.390 -14.55018 36.89659 + 343 | 14.15859 9.229393 1.53 0.129 -4.205003 32.52219 + 398 | 26.90474 18.43118 1.46 0.148 -9.767518 63.577 + 399 | 12.16029 17.40031 0.70 0.487 -22.46086 46.78144 + 500 | -2.691745 25.39973 -0.11 0.916 -53.22924 47.84575 + 503 | 18.90925 12.37893 1.53 0.131 -5.720932 43.53943 + 505 | 10.37541 6.961029 1.49 0.140 -3.474852 24.22568 + 506 | -4.912526 20.29905 -0.24 0.809 -45.30127 35.47622 + 508 | 27.77142 22.54684 1.23 0.222 -17.08971 72.63256 + 530 | 2.009812 8.990157 0.22 0.824 -15.87778 19.89741 + 599 | 16.62406 11.06456 1.50 0.137 -5.390937 38.63906 + 600 | 1.73277 9.636474 0.18 0.858 -17.44079 20.90633 + 601 | 16.59525 10.06535 1.65 0.103 -3.431641 36.62214 + 602 | 16.56799 9.676399 1.71 0.091 -2.685004 35.82099 + 603 | 35.6494 14.46666 2.46 0.016 6.865293 64.43351 + 604 | 12.69014 7.160654 1.77 0.080 -1.557314 26.9376 + 606 | 24.44479 12.83066 1.91 0.060 -1.084207 49.97378 + 607 | 7.142091 8.621769 0.83 0.410 -10.01252 24.29671 + 609 | .4449672 7.981395 0.06 0.956 -15.4355 16.32544 + 699 | 11.46423 8.433382 1.36 0.178 -5.315555 28.24401 + 1202 | 5.415834 14.8276 0.37 0.716 -24.08643 34.9181 + 1203 | 2.233357 8.911089 0.25 0.803 -15.49691 19.96363 + 1204 | 15.09657 11.58549 1.30 0.196 -7.954924 38.14807 + 1205 | -16.12905 20.31797 -0.79 0.430 -56.55543 24.29732 + 1206 | 8.89442 8.500819 1.05 0.299 -8.019543 25.80838 + 1207 | -6.091939 6.723898 -0.91 0.368 -19.47039 7.286508 + 1208 | .5254238 11.87163 0.04 0.965 -23.0954 24.14625 + 1209 | 13.17597 9.863861 1.34 0.185 -6.450015 32.80196 + 1210 | 5.361617 8.123814 0.66 0.511 -10.80222 21.52546 + 1211 | 34.96143 7.765384 4.50 0.000 19.51075 50.41211 + 1299 | -9.547424 9.871566 -0.97 0.336 -29.18874 10.0939 + 1300 | 1.188674 14.68484 0.08 0.936 -28.02955 30.4069 + 1302 | -8.191565 20.17314 -0.41 0.686 -48.32978 31.94665 + 1303 | 18.17364 9.297704 1.95 0.054 -.3258757 36.67316 + 1304 | -22.70606 12.79874 -1.77 0.080 -48.17154 2.759414 + 1399 | -3.246189 9.993853 -0.32 0.746 -23.13082 16.63844 + | + house_administration | 50.36211 23.67535 2.13 0.036 3.255581 97.46863 + house_agriculture | -4.725928 19.27915 -0.25 0.807 -43.08538 33.63353 + house_appropriations | -15.17819 17.84274 -0.85 0.397 -50.67964 20.32327 + house_armedservices | 2.511875 22.24076 0.11 0.910 -41.74025 46.764 + house_budget | 3.627126 14.42382 0.25 0.802 -25.07176 32.32601 + house_dc | 0 (omitted) + house_educlabor | -17.00807 6.573217 -2.59 0.011 -30.08672 -3.929435 + house_energycommerce | -2.696619 6.401378 -0.42 0.675 -15.43335 10.04012 + house_foreignaffairs | -22.47336 18.76289 -1.20 0.235 -59.80563 14.8589 + house_governmentop | -34.76248 34.34029 -1.01 0.314 -103.0889 33.56392 + house_intelligence | 32.28324 25.09874 1.29 0.202 -17.65539 82.22186 + house_interior | 0 (omitted) + house_judiciary | .5953531 7.283907 0.08 0.935 -13.89734 15.08804 + house_mmf | 0 (omitted) + house_pocs | 0 (omitted) + house_pwt | 90.37412 30.43231 2.97 0.004 29.82336 150.9249 + house_rules | -18.91446 17.32667 -1.09 0.278 -53.38909 15.56017 + house_sst | 0 (omitted) + house_smallbusi | 0 (omitted) + house_soc | 0 (omitted) + house_veterans | -19.86623 11.90985 -1.67 0.099 -43.5631 3.830646 + house_waysandmeans | -5.467109 6.16341 -0.89 0.378 -17.73036 6.796145 +house_naturalresources | 0 (omitted) + house_bfs | 11.26262 10.47444 1.08 0.285 -9.578223 32.10347 + house_eeo | -18.02658 10.7533 -1.68 0.098 -39.42228 3.369111 + house_govreform | -35.4449 20.14916 -1.76 0.082 -75.5354 4.645598 + house_ir | -3.034379 17.48949 -0.17 0.863 -37.83299 31.76423 + house_natsecur | 0 (omitted) + house_oversight | 56.65443 29.21758 1.94 0.056 -1.479388 114.7882 + house_resources | 100.2118 24.22143 4.14 0.000 52.01874 148.4048 + house_science | 0 (omitted) + house_transp | 14.84443 9.076678 1.64 0.106 -3.215315 32.90417 + house_homeland | 74.25924 12.3257 6.02 0.000 49.73496 98.78352 + _cons | 2.589158 11.26596 0.23 0.819 -19.82657 25.00489 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 31 1 0 1 1 + + +j = 4 k = 1 + + +rdbwselect_2014 numb_cosponsors MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11990 +----------------------+---------------------- NN matches = 3 + Number of obs | 6151 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 25.22792 46.13311 .5468506 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(6,677 missing values generated) +(54,574 missing values generated) +(47,897 real changes made) +reg numb_cosponsors sponsor_female i.v2 i.minor house_* [aw=wt] if tag_bill==1 & women_friend1==1, robust cluster(group_sponsor) +(sum of wgt is 42,754.1069014072) +note: house_soc omitted because of collinearity + +Linear regression Number of obs = 18,136 + F(113, 3727) = 5.60 + Prob > F = 0.0000 + R-squared = 0.0699 + Root MSE = 37.259 + + (Std. Err. adjusted for 3,728 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | .0215893 .9638262 0.02 0.982 -1.868089 1.911268 + | + v2 | + 102 | 6.253607 2.540059 2.46 0.014 1.273564 11.23365 + 103 | -1.387029 2.488433 -0.56 0.577 -6.265852 3.491794 + 104 | 1.881256 3.240028 0.58 0.562 -4.471146 8.233658 + 105 | 4.810572 2.001253 2.40 0.016 .8869152 8.734229 + 106 | 8.071143 2.72535 2.96 0.003 2.72782 13.41447 + 107 | 9.784013 2.698499 3.63 0.000 4.493334 15.07469 + 108 | 8.419741 2.42486 3.47 0.001 3.66556 13.17392 + 109 | 7.251778 1.811973 4.00 0.000 3.699224 10.80433 + 110 | 5.528125 2.032772 2.72 0.007 1.542671 9.513579 + 111 | 2.104795 2.121316 0.99 0.321 -2.054258 6.263848 + | + minor | + 201 | -16.76224 6.658463 -2.52 0.012 -29.81683 -3.707652 + 202 | 15.7132 10.59863 1.48 0.138 -5.066477 36.49287 + 204 | -21.01546 7.24491 -2.90 0.004 -35.21983 -6.811082 + 205 | 62.6235 26.96968 2.32 0.020 9.746731 115.5003 + 206 | -11.46022 6.041598 -1.90 0.058 -23.30538 .384942 + 207 | -2.873337 8.035121 -0.36 0.721 -18.627 12.88033 + 208 | -15.07731 5.531315 -2.73 0.006 -25.92201 -4.232613 + 209 | -11.545 10.55023 -1.09 0.274 -32.22979 9.139793 + 299 | 46.61947 17.647 2.64 0.008 12.02075 81.21819 + 300 | -8.252626 7.162868 -1.15 0.249 -22.29615 5.790897 + 301 | -11.31404 6.356263 -1.78 0.075 -23.77614 1.148049 + 302 | -9.40316 5.886418 -1.60 0.110 -20.94408 2.137756 + 321 | -13.32405 6.320257 -2.11 0.035 -25.71555 -.9325517 + 322 | -18.21393 5.692707 -3.20 0.001 -29.37505 -7.052803 + 323 | -11.38427 5.918295 -1.92 0.054 -22.98768 .2191416 + 324 | -22.78148 5.681994 -4.01 0.000 -33.92161 -11.64136 + 325 | -12.55799 6.468553 -1.94 0.052 -25.24024 .1242627 + 331 | 7.118795 7.249872 0.98 0.326 -7.09531 21.3329 + 332 | -7.917545 5.556364 -1.42 0.154 -18.81136 2.976266 + 333 | -8.367276 7.528084 -1.11 0.266 -23.12684 6.392291 + 334 | -6.64779 5.928017 -1.12 0.262 -18.27026 4.974683 + 335 | -12.33542 7.496829 -1.65 0.100 -27.0337 2.362872 + 336 | 1.388507 8.120399 0.17 0.864 -14.53235 17.30937 + 341 | -10.6188 5.845037 -1.82 0.069 -22.07858 .8409875 + 342 | -16.17394 6.608416 -2.45 0.014 -29.1304 -3.217472 + 343 | -17.04405 5.476365 -3.11 0.002 -27.78101 -6.307081 + 344 | -18.05371 6.678064 -2.70 0.007 -31.14673 -4.960692 + 398 | 2.240466 6.250367 0.36 0.720 -10.01401 14.49494 + 399 | -15.46844 7.381959 -2.10 0.036 -29.94152 -.9953665 + 500 | -22.26151 7.710037 -2.89 0.004 -37.37781 -7.145202 + 501 | -18.30996 5.642027 -3.25 0.001 -29.37172 -7.248193 + 502 | -13.75268 6.200144 -2.22 0.027 -25.90869 -1.596675 + 503 | -10.1533 6.126253 -1.66 0.098 -22.16443 1.857839 + 504 | .2897858 6.844083 0.04 0.966 -13.12873 13.7083 + 505 | -16.38937 6.213764 -2.64 0.008 -28.57208 -4.206657 + 506 | -9.402268 6.546241 -1.44 0.151 -22.23683 3.432296 + 508 | -13.47751 5.67952 -2.37 0.018 -24.61278 -2.342239 + 529 | -15.22844 6.862078 -2.22 0.027 -28.68224 -1.774648 + 530 | -16.6438 5.230681 -3.18 0.001 -26.89907 -6.388521 + 599 | -13.84841 8.220285 -1.68 0.092 -29.9651 2.268289 + 600 | -13.81074 6.188154 -2.23 0.026 -25.94323 -1.678236 + 601 | -14.61263 5.46185 -2.68 0.007 -25.32114 -3.904125 + 602 | -10.52489 5.935717 -1.77 0.076 -22.16246 1.112682 + 603 | -11.95473 6.8166 -1.75 0.080 -25.31936 1.409899 + 604 | -21.71254 6.227697 -3.49 0.000 -33.92256 -9.502511 + 606 | -15.43632 6.730572 -2.29 0.022 -28.63229 -2.240358 + 607 | -15.59223 5.87219 -2.66 0.008 -27.10525 -4.079211 + 609 | -13.96107 6.232937 -2.24 0.025 -26.18137 -1.74077 + 698 | -29.91775 6.071216 -4.93 0.000 -41.82098 -18.01452 + 699 | -17.42333 6.217637 -2.80 0.005 -29.61364 -5.233028 + 1200 | -13.28933 8.013043 -1.66 0.097 -28.9997 2.421051 + 1201 | -18.57735 5.754462 -3.23 0.001 -29.85955 -7.295148 + 1202 | -24.60324 5.950799 -4.13 0.000 -36.27038 -12.9361 + 1203 | -18.98893 5.529655 -3.43 0.001 -29.83038 -8.147486 + 1204 | -19.67629 5.282443 -3.72 0.000 -30.03305 -9.319524 + 1205 | -17.70563 5.638467 -3.14 0.002 -28.76041 -6.650847 + 1206 | -23.88711 5.717756 -4.18 0.000 -35.09735 -12.67688 + 1207 | -16.7037 5.687591 -2.94 0.003 -27.85479 -5.552602 + 1208 | -8.13611 5.768011 -1.41 0.158 -19.44488 3.172657 + 1209 | -13.14368 5.241041 -2.51 0.012 -23.41927 -2.868096 + 1210 | -16.4483 5.464185 -3.01 0.003 -27.16139 -5.735219 + 1211 | -7.916994 7.370159 -1.07 0.283 -22.36693 6.532944 + 1299 | -11.80352 7.509698 -1.57 0.116 -26.52704 2.920002 + 1300 | -.1440489 6.793536 -0.02 0.983 -13.46346 13.17536 + 1301 | -7.797327 6.347465 -1.23 0.219 -20.24217 4.647517 + 1302 | -19.18846 5.913598 -3.24 0.001 -30.78266 -7.594254 + 1303 | -12.59075 5.649537 -2.23 0.026 -23.66724 -1.514267 + 1304 | -8.837136 6.663565 -1.33 0.185 -21.90173 4.227455 + 1305 | -12.61928 6.354641 -1.99 0.047 -25.0782 -.1603721 + 1399 | -9.821878 11.90571 -0.82 0.409 -33.16423 13.52047 + | + house_administration | 2.60226 3.128049 0.83 0.406 -3.530595 8.735116 + house_agriculture | -4.14495 3.407523 -1.22 0.224 -10.82574 2.535842 + house_appropriations | 4.387203 3.657027 1.20 0.230 -2.782767 11.55717 + house_armedservices | 4.091519 2.835033 1.44 0.149 -1.466849 9.649887 + house_budget | -4.528389 3.274081 -1.38 0.167 -10.94756 1.890777 + house_dc | -14.40551 6.94881 -2.07 0.038 -28.02935 -.7816651 + house_educlabor | 5.821042 1.639186 3.55 0.000 2.607252 9.034832 + house_energycommerce | 7.64335 1.407014 5.43 0.000 4.884757 10.40194 + house_foreignaffairs | 3.493665 7.974294 0.44 0.661 -12.14074 19.12807 + house_governmentop | -6.471962 4.194128 -1.54 0.123 -14.69497 1.751048 + house_intelligence | 2.957327 5.737288 0.52 0.606 -8.291203 14.20586 + house_interior | 44.98906 25.38255 1.77 0.076 -4.775989 94.7541 + house_judiciary | 4.989422 1.715391 2.91 0.004 1.626224 8.352619 + house_mmf | -1.828702 8.805712 -0.21 0.835 -19.09319 15.43578 + house_pocs | 7.330698 6.229033 1.18 0.239 -4.881949 19.54334 + house_pwt | 6.299794 8.544309 0.74 0.461 -10.45219 23.05177 + house_rules | -4.249874 3.191565 -1.33 0.183 -10.50726 2.007511 + house_sst | 24.66046 11.99964 2.06 0.040 1.133957 48.18697 + house_smallbusi | .6479236 6.789681 0.10 0.924 -12.66393 13.95978 + house_soc | 0 (omitted) + house_veterans | -3.056711 2.157761 -1.42 0.157 -7.287219 1.173797 + house_waysandmeans | 1.127403 1.302779 0.87 0.387 -1.426826 3.681632 +house_naturalresources | 2.976847 5.268841 0.56 0.572 -7.353247 13.30694 + house_bfs | -1.278076 2.468697 -0.52 0.605 -6.118205 3.562052 + house_eeo | 2.710191 4.674524 0.58 0.562 -6.454685 11.87507 + house_govreform | .3091169 3.321035 0.09 0.926 -6.202107 6.820341 + house_ir | -1.470251 4.364243 -0.34 0.736 -10.02679 7.086287 + house_natsecur | 8.885519 5.757795 1.54 0.123 -2.403217 20.17426 + house_oversight | .1607054 3.968045 0.04 0.968 -7.619046 7.940457 + house_resources | 4.102106 5.05533 0.81 0.417 -5.809378 14.01359 + house_science | -.2651442 3.970706 -0.07 0.947 -8.050113 7.519825 + house_transp | 1.547362 3.098486 0.50 0.618 -4.527532 7.622256 + house_homeland | -3.60669 2.086518 -1.73 0.084 -7.697518 .484139 + _cons | 22.59266 5.361498 4.21 0.000 12.0809 33.10442 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,365 1 0 1 1 + + +j = 4 k = 2 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6187 +----------------------+---------------------- NN matches = 3 + Number of obs | 2193 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 29.70309 50.99673 .5824509 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(6,677 missing values generated) +(54,574 missing values generated) +(47,897 real changes made) +reg numb_cosponsors sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==100 & tag_bill==1 & women_friend1==1, robust cluster(group_sponsor) +(sum of wgt is 23,429.0291311741) +note: house_soc omitted because of collinearity + +Linear regression Number of obs = 10,316 + F(113, 1961) = 5.93 + Prob > F = 0.0000 + R-squared = 0.0960 + Root MSE = 35.904 + + (Std. Err. adjusted for 1,962 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -1.382259 1.133057 -1.22 0.223 -3.604382 .8398644 + | + v2 | + 102 | 2.336718 2.644233 0.88 0.377 -2.849085 7.522521 + 103 | -4.812521 2.067894 -2.33 0.020 -8.868021 -.7570202 + 104 | -3.277914 3.30193 -0.99 0.321 -9.753574 3.197746 + 105 | 3.4673 3.009493 1.15 0.249 -2.43484 9.369441 + 106 | 5.291775 3.133809 1.69 0.091 -.8541717 11.43772 + 107 | 7.397221 3.546363 2.09 0.037 .4421842 14.35226 + 108 | 7.79213 3.643762 2.14 0.033 .6460769 14.93818 + 109 | 4.589573 2.727491 1.68 0.093 -.7595121 9.938659 + 110 | 7.05735 2.640851 2.67 0.008 1.878181 12.23652 + 111 | 2.188867 2.761479 0.79 0.428 -3.226875 7.604609 + | + minor | + 201 | -20.68516 9.528774 -2.17 0.030 -39.37275 -1.997574 + 202 | 19.32428 14.41015 1.34 0.180 -8.936531 47.58509 + 204 | -9.994965 12.65637 -0.79 0.430 -34.81631 14.82638 + 205 | 82.66146 32.20295 2.57 0.010 19.50586 145.8171 + 206 | -20.46427 9.208431 -2.22 0.026 -38.52361 -2.404934 + 207 | .7165161 9.884962 0.07 0.942 -18.66962 20.10265 + 208 | -22.34901 8.44012 -2.65 0.008 -38.90156 -5.796464 + 209 | -13.22673 14.05347 -0.94 0.347 -40.78804 14.33457 + 299 | -13.18283 13.78327 -0.96 0.339 -40.21422 13.84857 + 300 | -16.46667 9.011461 -1.83 0.068 -34.13971 1.206381 + 301 | -18.68228 9.530675 -1.96 0.050 -37.37359 .0090397 + 302 | -18.35614 8.640676 -2.12 0.034 -35.30201 -1.410265 + 321 | -22.86509 9.120985 -2.51 0.012 -40.75293 -4.977245 + 322 | -27.03488 8.409036 -3.21 0.001 -43.52646 -10.54329 + 323 | -14.32381 8.648079 -1.66 0.098 -31.2842 2.636581 + 324 | -27.11159 8.82755 -3.07 0.002 -44.42396 -9.799226 + 325 | -21.90654 8.930387 -2.45 0.014 -39.42059 -4.39249 + 331 | -4.236216 10.48471 -0.40 0.686 -24.79855 16.32612 + 332 | -14.82512 8.450904 -1.75 0.080 -31.39882 1.748574 + 333 | -13.28516 8.878745 -1.50 0.135 -30.69792 4.127612 + 334 | -9.769247 9.108624 -1.07 0.284 -27.63285 8.094354 + 335 | -22.43706 9.384983 -2.39 0.017 -40.84265 -4.031468 + 336 | -7.705797 10.67767 -0.72 0.471 -28.64657 13.23497 + 341 | -15.81527 8.80947 -1.80 0.073 -33.09217 1.461641 + 342 | -21.52064 10.01907 -2.15 0.032 -41.16978 -1.871497 + 343 | -22.71623 8.569503 -2.65 0.008 -39.52252 -5.909943 + 344 | -30.17272 9.021954 -3.34 0.001 -47.86635 -12.4791 + 398 | -3.361138 9.031564 -0.37 0.710 -21.07361 14.35133 + 399 | -19.22799 11.31123 -1.70 0.089 -41.4113 2.955311 + 500 | -26.09084 11.96313 -2.18 0.029 -49.55262 -2.629046 + 501 | -25.42213 8.708909 -2.92 0.004 -42.50182 -8.34244 + 502 | -21.16233 9.087864 -2.33 0.020 -38.98521 -3.339442 + 503 | -18.09836 8.673113 -2.09 0.037 -35.10785 -1.088875 + 504 | -6.63632 10.75561 -0.62 0.537 -27.72995 14.45731 + 505 | -16.16071 9.475852 -1.71 0.088 -34.74451 2.42309 + 506 | -13.67703 9.205586 -1.49 0.138 -31.73079 4.376726 + 508 | -18.46822 8.813473 -2.10 0.036 -35.75298 -1.183461 + 529 | -29.5364 8.949966 -3.30 0.001 -47.08884 -11.98395 + 530 | -20.43821 8.447192 -2.42 0.016 -37.00463 -3.871792 + 599 | -18.92544 10.65929 -1.78 0.076 -39.83017 1.979289 + 600 | -25.61505 8.834825 -2.90 0.004 -42.94169 -8.288421 + 601 | -21.94975 8.577695 -2.56 0.011 -38.77211 -5.127395 + 602 | -22.8768 8.629962 -2.65 0.008 -39.80166 -5.951941 + 603 | -16.71635 11.27449 -1.48 0.138 -38.8276 5.394897 + 604 | -28.30631 9.50577 -2.98 0.003 -46.94878 -9.663832 + 606 | -26.51199 10.0759 -2.63 0.009 -46.27259 -6.751384 + 607 | -26.51949 8.980529 -2.95 0.003 -44.13188 -8.907108 + 609 | -16.19259 9.342269 -1.73 0.083 -34.51441 2.129232 + 698 | -39.69316 9.064117 -4.38 0.000 -57.46948 -21.91685 + 699 | -21.39076 9.499993 -2.25 0.024 -40.02191 -2.759618 + 1200 | -12.44946 12.1947 -1.02 0.307 -36.36539 11.46648 + 1201 | -22.37599 9.303401 -2.41 0.016 -40.62159 -4.130401 + 1202 | -27.64034 8.78336 -3.15 0.002 -44.86605 -10.41464 + 1203 | -24.42085 9.013505 -2.71 0.007 -42.0979 -6.74379 + 1204 | -24.8396 8.369827 -2.97 0.003 -41.2543 -8.424914 + 1205 | -20.27091 8.999619 -2.25 0.024 -37.92073 -2.621086 + 1206 | -27.35155 8.984739 -3.04 0.002 -44.97219 -9.730908 + 1207 | -23.21766 9.172387 -2.53 0.011 -41.20631 -5.229007 + 1208 | -12.93815 8.738789 -1.48 0.139 -30.07644 4.200136 + 1209 | -18.79965 8.454688 -2.22 0.026 -35.38077 -2.218531 + 1210 | -22.238 8.82393 -2.52 0.012 -39.54327 -4.932733 + 1211 | -14.46734 10.21724 -1.42 0.157 -34.50513 5.570452 + 1299 | -14.3985 11.90792 -1.21 0.227 -37.75202 8.955008 + 1300 | -7.975613 8.936868 -0.89 0.372 -25.50237 9.551145 + 1301 | -14.8811 9.098086 -1.64 0.102 -32.72403 2.961834 + 1302 | -28.19606 8.671486 -3.25 0.001 -45.20236 -11.18977 + 1303 | -18.38504 8.97692 -2.05 0.041 -35.99035 -.7797367 + 1304 | -14.18327 10.18934 -1.39 0.164 -34.16634 5.799802 + 1305 | -25.62689 8.504525 -3.01 0.003 -42.30574 -8.948029 + 1399 | -12.65366 19.42854 -0.65 0.515 -50.75642 25.44909 + | + house_administration | 2.777009 3.786856 0.73 0.463 -4.649677 10.20369 + house_agriculture | -5.585073 4.506588 -1.24 0.215 -14.42328 3.253132 + house_appropriations | 10.60466 6.07834 1.74 0.081 -1.316026 22.52534 + house_armedservices | 1.69451 2.569557 0.66 0.510 -3.344839 6.73386 + house_budget | -3.252925 4.458401 -0.73 0.466 -11.99663 5.490777 + house_dc | -17.04298 7.321451 -2.33 0.020 -31.40162 -2.684337 + house_educlabor | 8.773947 1.874362 4.68 0.000 5.097997 12.4499 + house_energycommerce | 6.416858 1.780833 3.60 0.000 2.924334 9.909382 + house_foreignaffairs | 4.480061 5.271073 0.85 0.395 -5.857432 14.81755 + house_governmentop | -12.54056 4.637387 -2.70 0.007 -21.63528 -3.445833 + house_intelligence | 6.092529 6.363868 0.96 0.339 -6.388127 18.57318 + house_interior | 41.89531 25.57672 1.64 0.102 -8.265093 92.05571 + house_judiciary | 1.326284 1.885418 0.70 0.482 -2.371349 5.023916 + house_mmf | -1.11497 12.3188 -0.09 0.928 -25.27428 23.04434 + house_pocs | 11.47975 7.427908 1.55 0.122 -3.087675 26.04717 + house_pwt | 16.73546 11.31034 1.48 0.139 -5.446094 38.91702 + house_rules | -3.003866 4.661409 -0.64 0.519 -12.1457 6.137971 + house_sst | 32.07371 12.78295 2.51 0.012 7.004113 57.1433 + house_smallbusi | -1.36542 8.009093 -0.17 0.865 -17.07265 14.34181 + house_soc | 0 (omitted) + house_veterans | -2.09623 2.844637 -0.74 0.461 -7.67506 3.482599 + house_waysandmeans | -1.008479 1.450114 -0.70 0.487 -3.852406 1.835447 +house_naturalresources | 7.332877 7.460038 0.98 0.326 -7.297558 21.96331 + house_bfs | .6092737 3.099907 0.20 0.844 -5.470185 6.688732 + house_eeo | 2.040109 4.021234 0.51 0.612 -5.846233 9.92645 + house_govreform | 1.160294 2.981102 0.39 0.697 -4.686166 7.006755 + house_ir | 9.244651 5.427491 1.70 0.089 -1.399606 19.88891 + house_natsecur | 11.23296 6.407443 1.75 0.080 -1.333151 23.79908 + house_oversight | -1.273004 4.110796 -0.31 0.757 -9.334991 6.788984 + house_resources | 8.97242 7.646953 1.17 0.241 -6.024589 23.96943 + house_science | -5.075284 5.044554 -1.01 0.314 -14.96853 4.817966 + house_transp | -.2660619 3.38087 -0.08 0.937 -6.896537 6.364414 + house_homeland | -5.802668 3.858105 -1.50 0.133 -13.36908 1.763748 + _cons | 32.25242 8.013489 4.02 0.000 16.53658 47.96827 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 738 1 0 1 1 + + +j = 4 k = 3 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 13.03771 22.75762 .5728944 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(6,677 missing values generated) +(54,574 missing values generated) +(47,897 real changes made) +reg numb_cosponsors sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==200 & tag_bill==1 & women_friend1==1, robust cluster(group_sponsor) +(sum of wgt is 17,726.8614976406) +note: house_soc omitted because of collinearity + +Linear regression Number of obs = 7,811 + F(112, 1761) = . + Prob > F = . + R-squared = 0.0793 + Root MSE = 38.904 + + (Std. Err. adjusted for 1,762 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 1.638724 1.632146 1.00 0.316 -1.562424 4.839872 + | + v2 | + 102 | 8.411884 4.299905 1.96 0.051 -.0215723 16.84534 + 103 | 10.51792 5.864173 1.79 0.073 -.9835475 22.0194 + 104 | 3.91831 4.48986 0.87 0.383 -4.887707 12.72433 + 105 | 2.886823 3.029276 0.95 0.341 -3.054532 8.828178 + 106 | 5.992033 3.461286 1.73 0.084 -.7966289 12.7807 + 107 | 7.279763 4.17047 1.75 0.081 -.8998309 15.45936 + 108 | 6.790076 3.845496 1.77 0.078 -.7521416 14.33229 + 109 | 6.663388 2.892455 2.30 0.021 .9903802 12.33639 + 110 | -2.865873 3.719866 -0.77 0.441 -10.16169 4.429946 + 111 | -3.805329 3.512479 -1.08 0.279 -10.6944 3.083738 + | + minor | + 201 | -8.425685 10.92891 -0.77 0.441 -29.86069 13.00932 + 202 | -1.227965 8.21785 -0.15 0.881 -17.34573 14.8898 + 204 | -18.1354 7.304558 -2.48 0.013 -32.46192 -3.808887 + 205 | 41.34369 41.61867 0.99 0.321 -40.28352 122.9709 + 206 | 3.127573 8.926146 0.35 0.726 -14.37939 20.63453 + 207 | -11.43131 10.57026 -1.08 0.280 -32.16289 9.300261 + 208 | -4.133107 6.955103 -0.59 0.552 -17.77423 9.50802 + 209 | -30.54079 5.834114 -5.23 0.000 -41.98331 -19.09827 + 299 | 72.96775 18.56573 3.93 0.000 36.55457 109.3809 + 300 | .3755709 13.37035 0.03 0.978 -25.84785 26.599 + 301 | -6.54696 7.53332 -0.87 0.385 -21.32215 8.22823 + 302 | -3.412716 7.841435 -0.44 0.663 -18.79222 11.96678 + 321 | 1.948692 12.18507 0.16 0.873 -21.95004 25.84742 + 322 | -9.341298 7.516938 -1.24 0.214 -24.08436 5.401762 + 323 | -10.36986 7.588426 -1.37 0.172 -25.25313 4.513414 + 324 | -21.45016 6.946382 -3.09 0.002 -35.07419 -7.826143 + 325 | -1.390811 10.86314 -0.13 0.898 -22.69681 19.91519 + 331 | 18.88106 10.10322 1.87 0.062 -.9345076 38.69663 + 332 | -4.837729 6.802236 -0.71 0.477 -18.17904 8.503579 + 333 | -3.399714 15.66375 -0.22 0.828 -34.12122 27.3218 + 334 | -3.423345 8.394297 -0.41 0.683 -19.88718 13.04049 + 335 | -3.87082 11.78417 -0.33 0.743 -26.98325 19.24161 + 336 | 21.08899 17.98297 1.17 0.241 -14.18121 56.3592 + 341 | -1.261854 7.899483 -0.16 0.873 -16.75521 14.2315 + 342 | -13.90247 9.965651 -1.40 0.163 -33.44822 5.643281 + 343 | -14.6461 6.858834 -2.14 0.033 -28.09841 -1.193781 + 344 | 25.52575 14.33868 1.78 0.075 -2.596869 53.64836 + 398 | 5.88655 8.749374 0.67 0.501 -11.2737 23.0468 + 399 | -7.37283 9.579023 -0.77 0.442 -26.16028 11.41462 + 500 | -14.17842 8.407 -1.69 0.092 -30.66717 2.310333 + 501 | -11.23006 6.447067 -1.74 0.082 -23.87477 1.414648 + 502 | -6.103196 8.102676 -0.75 0.451 -21.99507 9.78868 + 503 | -5.68835 7.201734 -0.79 0.430 -19.8132 8.436498 + 504 | 6.533801 7.454026 0.88 0.381 -8.08587 21.15347 + 505 | -6.03965 7.678538 -0.79 0.432 -21.09966 9.020359 + 506 | -12.99245 8.914031 -1.46 0.145 -30.47564 4.490747 + 508 | -10.14904 7.018808 -1.45 0.148 -23.91512 3.617029 + 529 | .9392977 9.713124 0.10 0.923 -18.11117 19.98977 + 530 | -10.48875 6.109219 -1.72 0.086 -22.47084 1.493331 + 599 | -6.277894 9.912484 -0.63 0.527 -25.71937 13.16358 + 600 | -1.714877 7.746164 -0.22 0.825 -16.90752 13.47777 + 601 | -7.447505 6.286389 -1.18 0.236 -19.77708 4.882066 + 602 | -.6136924 7.881734 -0.08 0.938 -16.07223 14.84485 + 603 | -2.636463 7.231931 -0.36 0.715 -16.82054 11.54761 + 604 | -15.02537 6.565575 -2.29 0.022 -27.90251 -2.14823 + 606 | -2.355491 7.658162 -0.31 0.758 -17.37554 12.66455 + 607 | -4.396819 7.502894 -0.59 0.558 -19.11233 10.3187 + 609 | -12.32428 7.062188 -1.75 0.081 -26.17544 1.526874 + 698 | -16.1817 9.945006 -1.63 0.104 -35.68696 3.323555 + 699 | -17.92603 6.647441 -2.70 0.007 -30.96374 -4.888326 + 1200 | -16.24434 8.751976 -1.86 0.064 -33.4097 .9210169 + 1201 | -12.01731 6.759118 -1.78 0.076 -25.27405 1.239429 + 1202 | -13.42896 7.0752 -1.90 0.058 -27.30563 .4477191 + 1203 | -13.42561 5.633498 -2.38 0.017 -24.47466 -2.376567 + 1204 | -13.9688 6.029789 -2.32 0.021 -25.7951 -2.142504 + 1205 | -17.94019 6.940628 -2.58 0.010 -31.55292 -4.327449 + 1206 | -19.54231 6.301594 -3.10 0.002 -31.9017 -7.182913 + 1207 | -11.7781 5.893167 -2.00 0.046 -23.33644 -.2197572 + 1208 | -.6208809 7.292788 -0.09 0.932 -14.92431 13.68255 + 1209 | -4.778202 6.165701 -0.77 0.438 -16.87107 7.314662 + 1210 | -12.48118 6.050598 -2.06 0.039 -24.34829 -.6140689 + 1211 | 2.036654 11.72245 0.17 0.862 -20.95472 25.02803 + 1299 | -13.3321 6.988353 -1.91 0.057 -27.03844 .3742406 + 1300 | 2.834521 9.235216 0.31 0.759 -15.27862 20.94766 + 1301 | -3.63425 7.594318 -0.48 0.632 -18.52908 11.26058 + 1302 | -11.32735 8.28186 -1.37 0.172 -27.57066 4.915963 + 1303 | -9.685384 6.49036 -1.49 0.136 -22.41501 3.044237 + 1304 | -5.459455 8.204877 -0.67 0.506 -21.55178 10.63287 + 1305 | .6663168 11.00005 0.06 0.952 -20.90821 22.24085 + 1399 | -12.43463 10.36296 -1.20 0.230 -32.75963 7.890373 + | + house_administration | 1.773344 5.417808 0.33 0.743 -8.852668 12.39936 + house_agriculture | .3260088 4.52174 0.07 0.943 -8.542533 9.194551 + house_appropriations | .1300318 4.79525 0.03 0.978 -9.27495 9.535014 + house_armedservices | 7.266573 9.097932 0.80 0.425 -10.57731 25.11046 + house_budget | -4.479231 4.504443 -0.99 0.320 -13.31385 4.355387 + house_dc | .2688097 9.024428 0.03 0.976 -17.43091 17.96853 + house_educlabor | .2940849 2.492039 0.12 0.906 -4.593581 5.181751 + house_energycommerce | 8.511606 2.570841 3.31 0.001 3.469385 13.55383 + house_foreignaffairs | 8.100105 8.434492 0.96 0.337 -8.442565 24.64278 + house_governmentop | 3.870236 10.86185 0.36 0.722 -17.43324 25.17371 + house_intelligence | -.3569504 10.61167 -0.03 0.973 -21.16975 20.45585 + house_interior | 12.81008 16.17304 0.79 0.428 -18.9103 44.53046 + house_judiciary | 6.520154 2.523961 2.58 0.010 1.569878 11.47043 + house_mmf | 7.830062 11.96014 0.65 0.513 -15.6275 31.28763 + house_pocs | -15.44732 4.420204 -3.49 0.000 -24.11672 -6.777919 + house_pwt | -13.95355 5.364882 -2.60 0.009 -24.47576 -3.431346 + house_rules | 2.21979 4.70723 0.47 0.637 -7.012557 11.45214 + house_sst | -12.50521 13.11791 -0.95 0.341 -38.23351 13.2231 + house_smallbusi | -6.747311 4.741107 -1.42 0.155 -16.0461 2.551479 + house_soc | 0 (omitted) + house_veterans | -4.612206 3.38795 -1.36 0.174 -11.25703 2.032621 + house_waysandmeans | 2.396171 2.366654 1.01 0.311 -2.245576 7.037918 +house_naturalresources | 3.219055 8.353705 0.39 0.700 -13.16517 19.60328 + house_bfs | -8.611799 4.071693 -2.12 0.035 -16.59766 -.6259393 + house_eeo | 3.028929 6.030565 0.50 0.616 -8.79889 14.85675 + house_govreform | -4.300881 4.8224 -0.89 0.373 -13.75911 5.15735 + house_ir | -11.66678 5.60321 -2.08 0.037 -22.65642 -.6771352 + house_natsecur | 16.03138 9.878656 1.62 0.105 -3.343751 35.4065 + house_oversight | 7.107734 6.140549 1.16 0.247 -4.935799 19.15127 + house_resources | -1.229503 5.400508 -0.23 0.820 -11.82158 9.362579 + house_science | 9.1212 6.250966 1.46 0.145 -3.138896 21.38129 + house_transp | 3.056147 6.09241 0.50 0.616 -8.892969 15.00526 + house_homeland | -1.282336 3.176632 -0.40 0.686 -7.512702 4.948029 + _cons | 17.35725 6.201163 2.80 0.005 5.194832 29.51966 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 625 1 0 1 1 + + +j = 5 k = 1 + + +rdbwselect_2014 numb_cosponsors MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11990 +----------------------+---------------------- NN matches = 3 + Number of obs | 6151 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 25.22792 46.13311 .5468506 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(7,341 missing values generated) +(54,749 missing values generated) +(47,408 real changes made) +reg numb_cosponsors sponsor_female i.v2 i.minor house_* [aw=wt] if tag_bill==1 & women_friend1==1, robust cluster(group_sponsor) +(sum of wgt is 41,193.6727513075) +note: house_soc omitted because of collinearity + +Linear regression Number of obs = 17,973 + F(113, 3689) = 31.30 + Prob > F = 0.0000 + R-squared = 0.1030 + Root MSE = 36.064 + + (Std. Err. adjusted for 3,690 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | .9481393 .9496904 1.00 0.318 -.9138307 2.810109 + | + v2 | + 102 | 5.42717 2.365583 2.29 0.022 .7891908 10.06515 + 103 | -2.657664 3.345277 -0.79 0.427 -9.216438 3.90111 + 104 | 1.244875 2.428695 0.51 0.608 -3.516843 6.006593 + 105 | 4.835933 2.222006 2.18 0.030 .4794511 9.192414 + 106 | 6.518018 2.554913 2.55 0.011 1.508837 11.5272 + 107 | 9.910551 2.847798 3.48 0.001 4.327138 15.49396 + 108 | 10.52566 2.393462 4.40 0.000 5.833021 15.2183 + 109 | 7.962467 2.024134 3.93 0.000 3.993936 11.931 + 110 | 9.425249 2.709676 3.48 0.001 4.112639 14.73786 + 111 | 1.679673 2.766456 0.61 0.544 -3.744261 7.103608 + | + minor | + 201 | -12.24049 5.827247 -2.10 0.036 -23.66543 -.8155427 + 202 | 43.32583 12.06374 3.59 0.000 19.67357 66.97809 + 204 | -18.44337 6.53952 -2.82 0.005 -31.2648 -5.621935 + 205 | 48.80625 28.35307 1.72 0.085 -6.782987 104.3955 + 206 | -4.484013 5.598974 -0.80 0.423 -15.4614 6.493376 + 207 | 10.72611 7.154402 1.50 0.134 -3.300866 24.75308 + 208 | -12.42679 4.785757 -2.60 0.009 -21.80979 -3.043804 + 209 | -7.702084 10.90275 -0.71 0.480 -29.0781 13.67393 + 299 | 52.61199 17.71718 2.97 0.003 17.87556 87.34842 + 300 | -8.599006 6.174854 -1.39 0.164 -20.70547 3.507457 + 301 | -6.823142 5.618366 -1.21 0.225 -17.83855 4.192268 + 302 | -9.56272 4.609443 -2.07 0.038 -18.60003 -.5254123 + 321 | -1.522965 11.14977 -0.14 0.891 -23.38328 20.33735 + 322 | -17.10997 4.4458 -3.85 0.000 -25.82643 -8.3935 + 323 | -14.48306 6.208505 -2.33 0.020 -26.6555 -2.310615 + 324 | -17.58661 4.548129 -3.87 0.000 -26.5037 -8.669514 + 325 | -8.264473 5.931979 -1.39 0.164 -19.89475 3.365808 + 331 | 7.013924 5.956085 1.18 0.239 -4.663618 18.69147 + 332 | -12.15926 5.015472 -2.42 0.015 -21.99263 -2.325888 + 333 | -3.674761 6.991436 -0.53 0.599 -17.38222 10.0327 + 334 | -4.688405 5.064893 -0.93 0.355 -14.61867 5.24186 + 335 | -11.95479 7.169577 -1.67 0.096 -26.01151 2.101937 + 336 | 5.142747 8.001987 0.64 0.520 -10.54601 20.8315 + 341 | -7.19717 4.573117 -1.57 0.116 -16.16326 1.768916 + 342 | -10.29491 6.704974 -1.54 0.125 -23.44073 2.850907 + 343 | -15.3041 4.514157 -3.39 0.001 -24.15459 -6.45361 + 344 | -13.76032 5.921933 -2.32 0.020 -25.37091 -2.149739 + 398 | .2350371 6.330388 0.04 0.970 -12.17637 12.64644 + 399 | -14.83314 6.644292 -2.23 0.026 -27.85999 -1.806294 + 500 | -24.09808 6.099099 -3.95 0.000 -36.05601 -12.14014 + 501 | -14.28143 4.525806 -3.16 0.002 -23.15476 -5.4081 + 502 | -16.2458 5.254033 -3.09 0.002 -26.5469 -5.944706 + 503 | -11.85958 4.852281 -2.44 0.015 -21.373 -2.346166 + 504 | 1.07842 5.92444 0.18 0.856 -10.53708 12.69392 + 505 | -11.69413 4.626383 -2.53 0.012 -20.76465 -2.623611 + 506 | -3.562575 5.610431 -0.63 0.525 -14.56243 7.437277 + 508 | -11.2283 5.040191 -2.23 0.026 -21.11014 -1.346465 + 529 | -9.553942 6.073962 -1.57 0.116 -21.4626 2.354712 + 530 | -15.4375 3.677987 -4.20 0.000 -22.64859 -8.226417 + 599 | -8.641964 7.026203 -1.23 0.219 -22.41759 5.13366 + 600 | -9.900931 5.480695 -1.81 0.071 -20.64642 .8445591 + 601 | -11.63425 4.253496 -2.74 0.006 -19.97369 -3.294819 + 602 | -9.580155 4.720765 -2.03 0.042 -18.83572 -.3245892 + 603 | -9.433858 4.99249 -1.89 0.059 -19.22217 .3544541 + 604 | -17.62461 5.138553 -3.43 0.001 -27.69929 -7.549922 + 606 | -13.46848 6.090563 -2.21 0.027 -25.40968 -1.527279 + 607 | -10.20763 4.72945 -2.16 0.031 -19.48022 -.9350362 + 609 | -5.554053 7.325132 -0.76 0.448 -19.91576 8.807654 + 698 | -25.91455 5.009265 -5.17 0.000 -35.73575 -16.09335 + 699 | -14.17497 5.300017 -2.67 0.008 -24.56622 -3.783713 + 1200 | -11.50225 6.05798 -1.90 0.058 -23.37957 .3750671 + 1201 | -14.68685 4.105224 -3.58 0.000 -22.73558 -6.638116 + 1202 | -22.15537 4.708883 -4.71 0.000 -31.38764 -12.9231 + 1203 | -15.13519 3.974595 -3.81 0.000 -22.92781 -7.342569 + 1204 | -18.70996 4.197419 -4.46 0.000 -26.93945 -10.48047 + 1205 | -15.29042 4.295725 -3.56 0.000 -23.71265 -6.868187 + 1206 | -19.12844 4.271731 -4.48 0.000 -27.50363 -10.75325 + 1207 | -16.63989 5.661627 -2.94 0.003 -27.74011 -5.53966 + 1208 | -2.384165 6.178885 -0.39 0.700 -14.49853 9.730203 + 1209 | -8.967201 3.782442 -2.37 0.018 -16.38308 -1.551319 + 1210 | -13.58757 3.944922 -3.44 0.001 -21.32201 -5.853127 + 1211 | -6.279584 6.893481 -0.91 0.362 -19.79499 7.235824 + 1299 | -10.25842 7.434963 -1.38 0.168 -24.83546 4.318627 + 1300 | .4597414 5.632756 0.08 0.935 -10.58388 11.50336 + 1301 | -3.658902 5.532224 -0.66 0.508 -14.50542 7.187617 + 1302 | -17.8375 4.780714 -3.73 0.000 -27.2106 -8.464393 + 1303 | -7.360191 5.212223 -1.41 0.158 -17.57931 2.858931 + 1304 | .977925 7.412477 0.13 0.895 -13.55503 15.51088 + 1305 | -4.633152 6.042981 -0.77 0.443 -16.48106 7.214761 + 1399 | -10.21783 10.25673 -1.00 0.319 -30.32725 9.891595 + | + house_administration | -4.585234 3.715369 -1.23 0.217 -11.86961 2.699147 + house_agriculture | -.8555119 3.060853 -0.28 0.780 -6.856642 5.145618 + house_appropriations | 8.580656 3.862543 2.22 0.026 1.007726 16.15359 + house_armedservices | 4.169676 2.85175 1.46 0.144 -1.421486 9.760838 + house_budget | -8.327691 5.0471 -1.65 0.099 -18.22307 1.56769 + house_dc | -11.34327 6.144566 -1.85 0.065 -23.39035 .7038055 + house_educlabor | 5.905814 2.031755 2.91 0.004 1.92234 9.889288 + house_energycommerce | 7.45185 1.737603 4.29 0.000 4.045093 10.85861 + house_foreignaffairs | -.7756764 11.06408 -0.07 0.944 -22.468 20.91665 + house_governmentop | -4.112003 3.70764 -1.11 0.267 -11.38123 3.157222 + house_intelligence | 4.075081 5.839632 0.70 0.485 -7.374145 15.52431 + house_interior | 25.19721 18.20788 1.38 0.166 -10.50129 60.89571 + house_judiciary | 6.393887 2.286816 2.80 0.005 1.91034 10.87743 + house_mmf | 4.311669 10.75322 0.40 0.688 -16.77118 25.39452 + house_pocs | 8.04875 2.810003 2.86 0.004 2.539438 13.55806 + house_pwt | 9.480111 8.256118 1.15 0.251 -6.706893 25.66712 + house_rules | -1.814452 6.145115 -0.30 0.768 -13.86261 10.23371 + house_sst | 17.72122 10.97591 1.61 0.106 -3.798231 39.24066 + house_smallbusi | 1.927439 7.545089 0.26 0.798 -12.86552 16.7204 + house_soc | 0 (omitted) + house_veterans | -1.386455 2.859367 -0.48 0.628 -6.992551 4.21964 + house_waysandmeans | 2.878457 1.497612 1.92 0.055 -.0577717 5.814685 +house_naturalresources | -2.850669 7.737979 -0.37 0.713 -18.02181 12.32047 + house_bfs | -1.713496 2.599105 -0.66 0.510 -6.809319 3.382328 + house_eeo | 2.741053 3.470991 0.79 0.430 -4.064197 9.546303 + house_govreform | 2.152128 2.630759 0.82 0.413 -3.005756 7.310012 + house_ir | -.8025598 3.974971 -0.20 0.840 -8.595916 6.990797 + house_natsecur | 6.08847 6.135474 0.99 0.321 -5.940784 18.11772 + house_oversight | 1.844108 3.650089 0.51 0.613 -5.312283 9.0005 + house_resources | -1.072698 6.851673 -0.16 0.876 -14.50614 12.36074 + house_science | 1.519999 5.340657 0.28 0.776 -8.950931 11.99093 + house_transp | -4.33407 5.167797 -0.84 0.402 -14.46609 5.79795 + house_homeland | -3.30009 2.233411 -1.48 0.140 -7.678932 1.078752 + _cons | 18.52463 4.678642 3.96 0.000 9.351651 27.69761 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,353 1 0 1 1 + + +j = 5 k = 2 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6187 +----------------------+---------------------- NN matches = 3 + Number of obs | 2193 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 29.70309 50.99673 .5824509 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(7,341 missing values generated) +(54,749 missing values generated) +(47,408 real changes made) +reg numb_cosponsors sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==100 & tag_bill==1 & women_friend1==1, robust cluster(group_sponsor) +(sum of wgt is 22,425.7189733982) +note: house_soc omitted because of collinearity + +Linear regression Number of obs = 10,277 + F(113, 1951) = 40.80 + Prob > F = 0.0000 + R-squared = 0.1524 + Root MSE = 36.096 + + (Std. Err. adjusted for 1,952 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | .6382995 1.263734 0.51 0.614 -1.840112 3.116711 + | + v2 | + 102 | 1.612902 1.948214 0.83 0.408 -2.207898 5.433702 + 103 | -4.021749 1.944383 -2.07 0.039 -7.835035 -.2084625 + 104 | -3.525358 2.623953 -1.34 0.179 -8.671404 1.620687 + 105 | 2.858845 2.982931 0.96 0.338 -2.991221 8.708912 + 106 | 3.759657 3.27308 1.15 0.251 -2.659445 10.17876 + 107 | 6.215746 3.427293 1.81 0.070 -.5057952 12.93729 + 108 | 8.144847 3.198365 2.55 0.011 1.872275 14.41742 + 109 | 4.002211 2.632509 1.52 0.129 -1.160613 9.165036 + 110 | 10.41335 3.254511 3.20 0.001 4.030661 16.79603 + 111 | .8050294 3.352186 0.24 0.810 -5.769212 7.379271 + | + minor | + 201 | -16.88391 7.958794 -2.12 0.034 -32.49254 -1.275275 + 202 | 48.04024 12.6167 3.81 0.000 23.29662 72.78386 + 204 | -8.536197 11.70362 -0.73 0.466 -31.48912 14.41673 + 205 | 111.5111 31.31766 3.56 0.000 50.09154 172.9307 + 206 | -14.82723 7.957084 -1.86 0.063 -30.4325 .7780522 + 207 | 14.40438 9.518572 1.51 0.130 -4.263262 33.07202 + 208 | -18.67303 6.989039 -2.67 0.008 -32.3798 -4.966266 + 209 | -7.774433 13.92585 -0.56 0.577 -35.08554 19.53667 + 299 | -10.71863 12.83724 -0.83 0.404 -35.89478 14.45753 + 300 | -18.84191 7.967085 -2.36 0.018 -34.4668 -3.217015 + 301 | -12.69132 8.449692 -1.50 0.133 -29.26269 3.880051 + 302 | -16.71176 7.570676 -2.21 0.027 -31.55922 -1.864293 + 321 | -9.622833 12.34206 -0.78 0.436 -33.82785 14.58218 + 322 | -25.15247 7.279873 -3.46 0.001 -39.42961 -10.87532 + 323 | -17.83922 8.327808 -2.14 0.032 -34.17156 -1.506887 + 324 | -23.54817 7.318306 -3.22 0.001 -37.90069 -9.195647 + 325 | -13.62606 8.612399 -1.58 0.114 -30.51653 3.264414 + 331 | .747925 9.261739 0.08 0.936 -17.41602 18.91187 + 332 | -16.19664 7.563892 -2.14 0.032 -31.0308 -1.362476 + 333 | -9.50701 7.686469 -1.24 0.216 -24.58156 5.567544 + 334 | -5.54598 8.27866 -0.67 0.503 -21.78193 10.68997 + 335 | -21.43196 7.912992 -2.71 0.007 -36.95077 -5.913152 + 336 | -3.696256 11.42168 -0.32 0.746 -26.09624 18.70372 + 341 | -13.19982 7.242527 -1.82 0.069 -27.40372 1.004085 + 342 | -16.84303 9.115782 -1.85 0.065 -34.72072 1.034669 + 343 | -18.82085 7.540039 -2.50 0.013 -33.60823 -4.033469 + 344 | -26.19495 8.099529 -3.23 0.001 -42.07959 -10.31032 + 398 | -8.583798 7.998933 -1.07 0.283 -24.27115 7.103556 + 399 | -15.19026 10.29426 -1.48 0.140 -35.37917 4.998651 + 500 | -28.45777 9.222407 -3.09 0.002 -46.54458 -10.37096 + 501 | -21.71361 7.245988 -3.00 0.003 -35.9243 -7.502918 + 502 | -21.53493 7.999085 -2.69 0.007 -37.22258 -5.847279 + 503 | -16.72445 7.360063 -2.27 0.023 -31.15886 -2.29004 + 504 | -6.397808 8.976667 -0.71 0.476 -24.00267 11.20706 + 505 | -14.27207 7.781273 -1.83 0.067 -29.53255 .9884163 + 506 | -8.671704 8.079382 -1.07 0.283 -24.51683 7.173423 + 508 | -15.45393 8.380766 -1.84 0.065 -31.89012 .9822669 + 529 | -23.94644 8.468121 -2.83 0.005 -40.55396 -7.338929 + 530 | -19.35922 6.456431 -3.00 0.003 -32.02145 -6.696996 + 599 | -19.51427 8.994015 -2.17 0.030 -37.15316 -1.875383 + 600 | -22.10559 7.701604 -2.87 0.004 -37.20983 -7.001351 + 601 | -19.35297 7.042449 -2.75 0.006 -33.16448 -5.541456 + 602 | -20.40634 7.205006 -2.83 0.005 -34.53666 -6.276023 + 603 | -16.49312 8.175145 -2.02 0.044 -32.52606 -.4601868 + 604 | -23.82138 8.441146 -2.82 0.005 -40.376 -7.266771 + 606 | -24.44705 8.773313 -2.79 0.005 -41.6531 -7.241001 + 607 | -21.90554 7.459744 -2.94 0.003 -36.53544 -7.275632 + 609 | -5.530997 10.50906 -0.53 0.599 -26.14116 15.07917 + 698 | -35.39105 7.788478 -4.54 0.000 -50.66566 -20.11644 + 699 | -18.36656 8.362289 -2.20 0.028 -34.76652 -1.966605 + 1200 | -10.49776 9.471158 -1.11 0.268 -29.07241 8.076896 + 1201 | -18.48637 7.038522 -2.63 0.009 -32.29018 -4.682557 + 1202 | -24.211 6.91336 -3.50 0.000 -37.76935 -10.65266 + 1203 | -21.49982 7.592654 -2.83 0.005 -36.39039 -6.609257 + 1204 | -23.38693 6.544015 -3.57 0.000 -36.22092 -10.55293 + 1205 | -18.91785 7.018077 -2.70 0.007 -32.68157 -5.154134 + 1206 | -23.98981 7.26925 -3.30 0.001 -38.24612 -9.733498 + 1207 | -21.37037 8.303247 -2.57 0.010 -37.65454 -5.086201 + 1208 | -2.863868 9.319543 -0.31 0.759 -21.14118 15.41344 + 1209 | -15.52884 6.493744 -2.39 0.017 -28.26424 -2.793432 + 1210 | -19.02397 6.844749 -2.78 0.005 -32.44776 -5.60018 + 1211 | -15.35182 8.657965 -1.77 0.076 -32.33165 1.628012 + 1299 | -12.29771 10.74893 -1.14 0.253 -33.3783 8.782886 + 1300 | -4.642195 7.922577 -0.59 0.558 -20.1798 10.89541 + 1301 | -7.704904 7.787572 -0.99 0.323 -22.97774 7.567931 + 1302 | -25.08941 7.263115 -3.45 0.001 -39.33369 -10.84513 + 1303 | -13.43566 7.779955 -1.73 0.084 -28.69356 1.822234 + 1304 | -6.469624 10.10184 -0.64 0.522 -26.28116 13.34191 + 1305 | -17.51466 8.404592 -2.08 0.037 -33.99758 -1.031738 + 1399 | -3.704514 21.58948 -0.17 0.864 -46.04538 38.63635 + | + house_administration | -3.917015 3.949513 -0.99 0.321 -11.66272 3.828693 + house_agriculture | -6.508027 4.232461 -1.54 0.124 -14.80865 1.792593 + house_appropriations | 20.20296 7.436024 2.72 0.007 5.619572 34.78634 + house_armedservices | .5540592 2.882114 0.19 0.848 -5.098288 6.206406 + house_budget | -7.35585 5.748943 -1.28 0.201 -18.63057 3.918867 + house_dc | -14.60547 7.171375 -2.04 0.042 -28.66983 -.5411101 + house_educlabor | 10.29483 2.846301 3.62 0.000 4.712716 15.87694 + house_energycommerce | 7.764901 2.409179 3.22 0.001 3.040065 12.48974 + house_foreignaffairs | 6.138027 6.364372 0.96 0.335 -6.343656 18.61971 + house_governmentop | -15.36426 6.048688 -2.54 0.011 -27.22683 -3.501695 + house_intelligence | 7.743634 6.415617 1.21 0.228 -4.83855 20.32582 + house_interior | 29.98178 22.02373 1.36 0.174 -13.21074 73.1743 + house_judiciary | 3.877867 2.318623 1.67 0.095 -.6693725 8.425106 + house_mmf | 7.103267 15.52691 0.46 0.647 -23.34781 37.55434 + house_pocs | 6.348646 3.278842 1.94 0.053 -.081755 12.77905 + house_pwt | 11.59292 11.7317 0.99 0.323 -11.41507 34.60091 + house_rules | -.8401646 8.659956 -0.10 0.923 -17.8239 16.14357 + house_sst | 23.64616 12.18283 1.94 0.052 -.2465684 47.53889 + house_smallbusi | -4.280837 8.255357 -0.52 0.604 -20.47108 11.90941 + house_soc | 0 (omitted) + house_veterans | 1.741386 3.646593 0.48 0.633 -5.410241 8.893013 + house_waysandmeans | .401411 1.924695 0.21 0.835 -3.373264 4.176086 +house_naturalresources | -4.891771 9.589784 -0.51 0.610 -23.69907 13.91553 + house_bfs | .844419 3.432628 0.25 0.806 -5.887584 7.576422 + house_eeo | 1.591544 3.090191 0.52 0.607 -4.468879 7.651967 + house_govreform | 2.461201 3.304748 0.74 0.457 -4.020007 8.942409 + house_ir | 8.087376 4.78043 1.69 0.091 -1.287911 17.46266 + house_natsecur | 13.1487 7.39683 1.78 0.076 -1.357823 27.65522 + house_oversight | -.12012 4.684109 -0.03 0.980 -9.306503 9.066263 + house_resources | 4.560942 9.821422 0.46 0.642 -14.70064 23.82253 + house_science | -.7521889 6.588243 -0.11 0.909 -13.67292 12.16855 + house_transp | -6.707959 5.573104 -1.20 0.229 -17.63782 4.221905 + house_homeland | -4.829429 4.627525 -1.04 0.297 -13.90484 4.245984 + _cons | 26.54844 6.940839 3.82 0.000 12.9362 40.16068 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 736 1 0 1 1 + + +j = 5 k = 3 + + +rdbwselect_2014 numb_cosponsors MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 13.03771 22.75762 .5728944 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(13,828 missing values generated) +(55,922 missing values generated) +(42,094 real changes made) +reg numb_cosponsors sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==200 & tag_bill==1 & women_friend1==1, robust cluster(group_sponsor) +(sum of wgt is 11,150.940263629) +note: house_soc omitted because of collinearity + +Linear regression Number of obs = 6,980 + F(112, 1615) = . + Prob > F = . + R-squared = 0.0922 + Root MSE = 40.621 + + (Std. Err. adjusted for 1,616 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 3.14287 1.87422 1.68 0.094 -.5332876 6.819028 + | + v2 | + 102 | 4.169777 2.956875 1.41 0.159 -1.629938 9.969491 + 103 | 5.313665 3.989831 1.33 0.183 -2.512125 13.13945 + 104 | -1.13887 4.622233 -0.25 0.805 -10.20508 7.927335 + 105 | 3.61819 2.53884 1.43 0.154 -1.361577 8.597958 + 106 | 6.968449 2.766042 2.52 0.012 1.543039 12.39386 + 107 | 11.29388 3.856916 2.93 0.003 3.728796 18.85897 + 108 | 11.82754 3.328291 3.55 0.000 5.299321 18.35577 + 109 | 6.346306 2.575894 2.46 0.014 1.293859 11.39875 + 110 | 5.59681 4.981595 1.12 0.261 -4.174259 15.36788 + 111 | -2.201402 3.09727 -0.71 0.477 -8.276493 3.873689 + | + minor | + 201 | -8.820441 9.895462 -0.89 0.373 -28.22974 10.58885 + 202 | -1.97622 10.87552 -0.18 0.856 -23.30784 19.3554 + 204 | -14.18932 7.737944 -1.83 0.067 -29.36679 .9881416 + 205 | 1.608173 13.42237 0.12 0.905 -24.71891 27.93526 + 206 | 3.752559 9.702078 0.39 0.699 -15.27743 22.78254 + 207 | 3.951913 7.876875 0.50 0.616 -11.49806 19.40188 + 208 | -9.131251 6.806659 -1.34 0.180 -22.48206 4.219561 + 209 | -28.98024 5.516761 -5.25 0.000 -39.801 -18.15948 + 299 | 74.43925 16.54577 4.50 0.000 41.9858 106.8927 + 300 | -5.50381 9.910266 -0.56 0.579 -24.94214 13.93452 + 301 | -9.372765 6.915285 -1.36 0.175 -22.93664 4.191111 + 302 | -7.991856 6.596164 -1.21 0.226 -20.9298 4.946084 + 321 | -12.0942 7.040186 -1.72 0.086 -25.90306 1.714655 + 322 | -13.84891 6.350243 -2.18 0.029 -26.30449 -1.393328 + 323 | -13.82196 7.293588 -1.90 0.058 -28.12785 .4839286 + 324 | -14.465 7.070315 -2.05 0.041 -28.33296 -.5970449 + 325 | -14.2752 7.488157 -1.91 0.057 -28.96273 .412323 + 331 | 8.129629 9.115577 0.89 0.373 -9.749974 26.00923 + 332 | -16.20007 7.385253 -2.19 0.028 -30.68576 -1.714385 + 333 | -5.725266 18.11323 -0.32 0.752 -41.25317 29.80263 + 334 | -3.989838 6.900967 -0.58 0.563 -17.52563 9.545953 + 335 | -8.616378 17.3988 -0.50 0.621 -42.74297 25.51021 + 336 | 30.79011 22.16559 1.39 0.165 -12.68624 74.26645 + 341 | -6.418957 7.698931 -0.83 0.405 -21.5199 8.681988 + 342 | -3.358393 10.41878 -0.32 0.747 -23.79415 17.07736 + 343 | -19.86968 6.211567 -3.20 0.001 -32.05326 -7.686102 + 344 | 22.57238 13.30193 1.70 0.090 -3.518472 48.66324 + 398 | 12.27069 14.15213 0.87 0.386 -15.48778 40.02916 + 399 | -12.76688 9.944273 -1.28 0.199 -32.27191 6.738158 + 500 | -9.52424 8.422582 -1.13 0.258 -26.04458 6.996099 + 501 | -9.406909 6.670427 -1.41 0.159 -22.49051 3.676693 + 502 | -11.45755 6.23087 -1.84 0.066 -23.67899 .7638885 + 503 | -8.392106 6.391133 -1.31 0.189 -20.92789 4.143679 + 504 | 7.140654 7.369417 0.97 0.333 -7.313971 21.59528 + 505 | -12.73524 5.828014 -2.19 0.029 -24.1665 -1.303972 + 506 | -9.572435 8.000707 -1.20 0.232 -25.26529 6.120423 + 508 | -4.112137 7.757767 -0.53 0.596 -19.32848 11.10421 + 529 | .2417054 9.751936 0.02 0.980 -18.88607 19.36948 + 530 | -11.01159 5.523094 -1.99 0.046 -21.84477 -.1784042 + 599 | -1.26956 9.941243 -0.13 0.898 -20.76865 18.22953 + 600 | .023203 7.677206 0.00 0.998 -15.03513 15.08154 + 601 | -7.936991 5.835295 -1.36 0.174 -19.38254 3.508555 + 602 | -3.418322 6.592265 -0.52 0.604 -16.34861 9.51197 + 603 | -6.503706 6.839874 -0.95 0.342 -19.91967 6.912255 + 604 | -12.97989 6.29396 -2.06 0.039 -25.32507 -.6347016 + 606 | -3.319136 7.223863 -0.46 0.646 -17.48827 10.84999 + 607 | -2.246002 7.344272 -0.31 0.760 -16.65131 12.1593 + 609 | -7.477597 6.817155 -1.10 0.273 -20.849 5.893802 + 698 | -16.88997 10.32428 -1.64 0.102 -37.14036 3.360414 + 699 | -16.79621 6.508296 -2.58 0.010 -29.5618 -4.030614 + 1200 | -13.86321 9.204342 -1.51 0.132 -31.91692 4.190499 + 1201 | -13.93027 6.093192 -2.29 0.022 -25.88166 -1.978874 + 1202 | -17.09234 6.698611 -2.55 0.011 -30.23122 -3.953454 + 1203 | -14.63897 5.139668 -2.85 0.004 -24.72009 -4.557848 + 1204 | -15.75224 5.62721 -2.80 0.005 -26.78964 -4.714842 + 1205 | -14.94379 6.85154 -2.18 0.029 -28.38264 -1.504949 + 1206 | -20.64857 5.792701 -3.56 0.000 -32.01057 -9.286573 + 1207 | -12.96432 6.17051 -2.10 0.036 -25.06736 -.8612676 + 1208 | -2.888234 6.332648 -0.46 0.648 -15.30931 9.532837 + 1209 | .0656173 5.95213 0.01 0.991 -11.60909 11.74033 + 1210 | -11.3463 5.648645 -2.01 0.045 -22.42575 -.2668591 + 1211 | .9284631 10.51407 0.09 0.930 -19.6942 21.55112 + 1299 | -15.96433 7.906343 -2.02 0.044 -31.4721 -.4565654 + 1300 | -5.908856 8.533444 -0.69 0.489 -22.64664 10.82893 + 1301 | -8.802294 7.505928 -1.17 0.241 -23.52468 5.920088 + 1302 | -16.69041 7.942709 -2.10 0.036 -32.26951 -1.111309 + 1303 | -9.584554 6.023533 -1.59 0.112 -21.39932 2.230209 + 1304 | 2.874044 8.782569 0.33 0.744 -14.35238 20.10047 + 1305 | 14.55068 10.40635 1.40 0.162 -5.860696 34.96205 + 1399 | -19.87307 7.780227 -2.55 0.011 -35.13347 -4.61267 + | + house_administration | -1.556974 5.590224 -0.28 0.781 -12.52183 9.407882 + house_agriculture | 3.043754 5.071221 0.60 0.548 -6.903111 12.99062 + house_appropriations | -.2881064 4.69058 -0.06 0.951 -9.488369 8.912156 + house_armedservices | 6.550878 4.026121 1.63 0.104 -1.346093 14.44785 + house_budget | -4.007571 4.726509 -0.85 0.397 -13.27831 5.263165 + house_dc | -6.026784 6.501556 -0.93 0.354 -18.77916 6.725589 + house_educlabor | -.8465157 2.580305 -0.33 0.743 -5.907613 4.214581 + house_energycommerce | 11.9354 2.285768 5.22 0.000 7.452018 16.41879 + house_foreignaffairs | 8.637115 7.526038 1.15 0.251 -6.124712 23.39894 + house_governmentop | 11.57794 11.01866 1.05 0.294 -10.03445 33.19032 + house_intelligence | .2372217 10.8487 0.02 0.983 -21.04178 21.51623 + house_interior | 15.41847 10.16112 1.52 0.129 -4.511906 35.34884 + house_judiciary | 5.21125 1.91057 2.73 0.006 1.463793 8.958707 + house_mmf | 8.974767 12.20154 0.74 0.462 -14.95775 32.90729 + house_pocs | -10.30363 3.833568 -2.69 0.007 -17.82292 -2.784341 + house_pwt | -9.123444 5.440608 -1.68 0.094 -19.79484 1.547949 + house_rules | .9929488 4.787518 0.21 0.836 -8.397451 10.38335 + house_sst | -6.400922 13.66894 -0.47 0.640 -33.21165 20.4098 + house_smallbusi | -7.653685 4.953196 -1.55 0.122 -17.36905 2.061682 + house_soc | 0 (omitted) + house_veterans | -5.634839 3.155037 -1.79 0.074 -11.82324 .5535583 + house_waysandmeans | 3.369143 2.302213 1.46 0.144 -1.146497 7.884783 +house_naturalresources | .0780647 7.919983 0.01 0.992 -15.45646 15.61259 + house_bfs | -10.60831 3.078352 -3.45 0.001 -16.6463 -4.570328 + house_eeo | 8.872364 5.858162 1.51 0.130 -2.618033 20.36276 + house_govreform | -1.147794 4.20539 -0.27 0.785 -9.396389 7.100801 + house_ir | -6.543848 5.060363 -1.29 0.196 -16.46942 3.38172 + house_natsecur | 8.530851 13.72446 0.62 0.534 -18.38876 35.45047 + house_oversight | 4.467093 6.618953 0.67 0.500 -8.515546 17.44973 + house_resources | -.0091959 5.983948 -0.00 0.999 -11.74632 11.72792 + house_science | 5.213198 7.905417 0.66 0.510 -10.29276 20.71915 + house_transp | 3.573577 7.722138 0.46 0.644 -11.57289 18.72004 + house_homeland | -2.931394 2.784422 -1.05 0.293 -8.392853 2.530066 + _cons | 17.42269 5.630469 3.09 0.002 6.378892 28.46648 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 570 1 0 1 1 +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(62,331 observations deleted) +(15 missing values generated) +(3 real changes made) +(1 real change made) +(18 missing values generated) +(0 real changes made) +(0 real changes made) +(17 missing values generated) +(1 real change made) +(0 real changes made) +(18 missing values generated) +(0 real changes made) +(0 real changes made) +(17 missing values generated) +(0 real changes made) +(0 real changes made) +(5 real changes made) +(5 real changes made) +(5 real changes made) +file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/Table8_numb_cosponsors_WF11.xls saved + +. +. log close + name: + log: /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Log/Table8.log + log type: text + closed on: 8 Jul 2021, 12:34:01 +--------------------------------------------------------------------------------------------------------------------------------------------------------------------- diff --git a/30/replication_package/Log/Table9.log b/30/replication_package/Log/Table9.log new file mode 100644 index 0000000000000000000000000000000000000000..36ca31a1235ea9867a37871ea06c94ba43a91a01 --- /dev/null +++ b/30/replication_package/Log/Table9.log @@ -0,0 +1,8215 @@ +--------------------------------------------------------------------------------------------------------------------------------------------------------------------- + name: + log: /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Log/Table9.log + log type: text + opened on: 8 Jul 2021, 12:34:27 + +. +. +. use "$AnalysisData/bills_analysis_101-111_replication.dta" +(Bill-level data set. Each observation is an individual bill.) + +. +. keep if private==0 +(1,546 observations deleted) + +. +. bysort v2 sponsor_state_abbrev sponsor_district sponsor_term_served: egen tot_bills=count(v2) + +. +. gen byte sponsor_democrat = sponsor_party==100 if sponsor_party~=. +(1,036 missing values generated) + +. +. gen byte NE = sponsor_state_icpsr>=1 & sponsor_state_icpsr<=14 if sponsor_state_icpsr~=. +(1,015 missing values generated) + +. gen byte MW = sponsor_state_icpsr>=21 & sponsor_state_icpsr<=37 if sponsor_state_icpsr~=. +(1,015 missing values generated) + +. gen byte SO = sponsor_state_icpsr>=40 & sponsor_state_icpsr<=56 if sponsor_state_icpsr~=. +(1,015 missing values generated) + +. gen byte WE = sponsor_state_icpsr>=61 & sponsor_state_icpsr<=82 if sponsor_state_icpsr~=. +(1,015 missing values generated) + +. +. replace sponsor_age=. if sponsor_age>100 +(0 real changes made) + +. gen sponsor_rookie=(sponsor_tenure_run==1) if sponsor_tenure_run!=. +(1,015 missing values generated) + +. gen byte leader = (comc==1) | (comr==1) if comc~=. & comr~=. +(1,015 missing values generated) + +. +. gen lnpden=lnpop-lnarea +(1,015 missing values generated) + +. gen absMV=abs(MV1_democrat) +(6,677 missing values generated) + +. +. egen tag_congressmen=tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) + +. egen group_congressmen = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +(1,015 missing values generated) + +. egen tag_sponsor = tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) + +. egen group_sponsor = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +(1,015 missing values generated) + +. +. cap drop pct_cosponsors_opposite + +. gen pct_cosponsors_opposite=100*numb_cosponsors_opposite/(numb_cosponsors+1) +(1,015 missing values generated) + +. replace pct_cosponsors_opposite=. if pct_cosponsors_opposite>100 +(3 real changes made, 3 to missing) + +. +. compress + variable tot_bills was float now int + variable sponsor_rookie was float now byte + variable group_congressmen was float now int + variable group_sponsor was float now int + (561,141 bytes saved) + +. +. egen tag_bill = tag(v2 HRnumber) + +. +. gen int decade = 1980 if v2<=102 +(50,563 missing values generated) + +. replace decade=1990 if v2>=103 & v2<=107 +(25,238 real changes made) + +. replace decade=2000 if v2>=108 +(25,325 real changes made) + +. +. egen district_id = group(decade sponsor_state_abbrev sponsor_district) +(1,015 missing values generated) + +. +. local controls1 = "i.v2 " + +. local controls2 = "i.v2 MV1_female femaleXMV1_female " + +. local controls3 = "i.v2 MV1_female femaleXMV1_female " + +. local controls4 = "i.v2 " + +. local controls5 = "i.v2 " + +. +. local other_controls = "i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate to +> t_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden" + +. local billchars = "i.minor house_*" + +. local indivchars = "sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate tot_bills" + +. local districtchars = "NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden" + +. +. local if1 = "if tag_bill==1" + +. local if2 = "if sponsor_party==100 & tag_bill==1" + +. local if3 = "if sponsor_party==200 & tag_bill==1" + +. +. gen tenured=sponsor_tenure>=5 if sponsor_tenure!=. +(1,015 missing values generated) + +. +. foreach depvar of varlist pct_cosponsors_opposite { + 2. forvalues l = 0/1 { + 3. forvalues j = 1/5 { + 4. forvalues k = 1/3 { + 5. qui reg `depvar' sponsor_female `controls3' `other_controls' `if`k'' & mixed_gender_election==1 & tenured==`l', robust cluster(group_sponsor) + 6. qui gen sample=e(sample) + 7. +. di "" + 8. di "" + 9. di "j = ", `j', "k = ", `k' + 10. di "" + 11. di "" + 12. +. di "rdbwselect_2014 `depvar' MV1_female `if`k'', c(0) kernel(uniform)" + 13. rdbwselect_2014 `depvar' MV1_female `if`k'', c(0) kernel(uniform) + 14. local band = e(h_CCT) + 15. +. if `j'==1 { + 16. di "reg `depvar' sponsor_female `controls`j'' `other_controls' `if`k'' & tenured==`l', robust cluster(group_sponsor)" + 17. reg `depvar' sponsor_female `controls`j'' `other_controls' `if`k'' & tenured==`l', robust cluster(group_sponsor) + 18. } + 19. else if `j'==2 { + 20. di "reg `depvar' sponsor_female `controls`j'' `if`k'' & sample==1 & abs(MV1_female)<=`band' & tenured==`l', robust cluster(group_sponsor)" + 21. reg `depvar' sponsor_female `controls`j'' `if`k'' & sample==1 & abs(MV1_female)<=`band' & tenured==`l', robust cluster(group_sponsor) +> + 22. } + 23. else if `j'==3 { + 24. qui probit sponsor_female i.v2 `districtchars' `if`k'' & tag_sponsor==1 & abs(MV1_female)<=`band' + 25. predict pscore if sample==1 + 26. gen wt = 1/pscore if sponsor_female==1 + 27. replace wt =1/(1-pscore) if sponsor_female==0 + 28. di "reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & sample==1 & tenured==`l' & abs(MV1_female)<=`band', robust clu +> ster(group_sponsor)" + 29. reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & sample==1 & tenured==`l' & abs(MV1_female)<=`band', robust cluster(gro +> up_sponsor) + 30. drop pscore wt + 31. } + 32. else if `j'==4 { + 33. qui probit sponsor_female i.v2 `districtchars' absMV `if`k'' & tag_sponsor==1 + 34. predict pscore + 35. gen wt = 1/pscore if sponsor_female==1 + 36. replace wt =1/(1-pscore) if sponsor_female==0 + 37. di "reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & tenured==`l', robust cluster(group_sponsor)" + 38. reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & tenured==`l', robust cluster(group_sponsor) + 39. drop pscore wt + 40. } + 41. else if `j'==5 { + 42. qui probit sponsor_female i.v2 `districtchars' `indivchars' absMV `if`k'' & tag_sponsor==1 + 43. predict pscore + 44. gen wt = 1/pscore if sponsor_female==1 + 45. replace wt =1/(1-pscore) if sponsor_female==0 + 46. di "reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & tenured==`l', robust cluster(group_sponsor)" + 47. reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & tenured==`l', robust cluster(group_sponsor) + 48. drop pscore wt + 49. } + 50. +. if `j'~=2 & `j'~=3 { + 51. scalar b_col`j'_row`k' = _b[sponsor_female] + 52. scalar se_col`j'_row`k' = _se[sponsor_female] + 53. scalar n_col`j'_row`k' = e(N) + 54. sum tag_congressmen if tag_congressmen==1 & e(sample) + 55. scalar ni_col`j'_row`k' = e(N_clust) + 56. scalar ob_col`j'_row`k' = . + 57. } + 58. else if `j'==2 | `j'==3 { + 59. scalar b_col`j'_row`k' = _b[sponsor_female] + 60. scalar se_col`j'_row`k' = _se[sponsor_female] + 61. scalar n_col`j'_row`k' = e(N) + 62. sum tag_congressmen if tag_congressmen==1 & e(sample) + 63. scalar ni_col`j'_row`k' = e(N_clust) + 64. scalar ob_col`j'_row`k' = round(`band') + 65. } + 66. +. drop sample + 67. } // closes j loop + 68. } // closes k loop + 69. +. preserve + 70. +. * Display results +. +. forvalues i = 1/5 { + 71. gen var`i' =. + 72. } + 73. gen str20 var6 = "" + 74. +. forvalues j=1/5 { + 75. forvalues k = 1/3 { + 76. replace var`j' = b_col`j'_row`k' if _n==6*(`k'-1)+1 + 77. replace var`j' = se_col`j'_row`k' if _n==6*(`k'-1)+2 + 78. replace var`j' = n_col`j'_row`k' if _n==6*(`k'-1)+3 + 79. replace var`j' = ni_col`j'_row`k' if _n==6*(`k'-1)+4 + 80. replace var`j' = ob_col`j'_row`k' if _n==6*(`k'-1)+5 + 81. } + 82. } + 83. +. keep var1-var6 + 84. keep if _n<=18 + 85. +. order var6 var1-var5 + 86. +. ren var6 sampletype + 87. ren var1 OLS_all + 88. ren var2 RD_bwidth + 89. ren var3 RD_match_bw + 90. ren var4 PS_match + 91. ren var5 PS_match_indiv + 92. +. foreach var of varlist OLS_all RD_bwidth RD_match_bw PS_match PS_match_indiv { + 93. gen str3 `var'_stars ="*" if abs(`var'/`var'[_n+1])>=1.645 & mod(_n,6)==1 + 94. replace `var'_stars ="**" if abs(`var'/`var'[_n+1])>=1.96 & mod(_n,6)==1 + 95. replace `var'_stars="***" if abs(`var'/`var'[_n+1])>=2.58 & mod(_n,6)==1 + 96. } + 97. +. replace sampletype = "All" if _n>=1 & _n<=5 + 98. replace sampletype = "Democrats" if _n>=7 & _n<=11 + 99. replace sampletype = "Republicans" if _n>=13 & _n<=17 +100. +. order sampletype OLS_all OLS_all_stars RD_bwidth RD_bwidth_stars RD_match_bw RD_match_bw_stars PS_match PS_match_stars PS_match_indiv PS_match_indiv_stars +101. export excel using "$Output/Table9_`depvar'_T`l'", firstrow(var) replace +102. restore +103. } // closes l loop +104. } + + +j = 1 k = 1 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11989 +----------------------+---------------------- NN matches = 3 + Number of obs | 6150 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 15.71586 27.17455 .5783301 +---------------------------------------------- +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 o +> cc3 occ4 borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if tag_bill==1 & tenured==0, robust cluster(group_sponsor) + +Linear regression Number of obs = 23,315 + F(288, 2285) = . + Prob > F = . + R-squared = 0.1109 + Root MSE = 19.665 + + (Std. Err. adjusted for 2,286 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -.9081733 .6242524 -1.45 0.146 -2.132334 .3159874 + | + v2 | + 102 | -1.996248 1.095122 -1.82 0.068 -4.143785 .1512894 + 103 | -3.411842 1.334533 -2.56 0.011 -6.028864 -.7948202 + 104 | -4.553359 1.365118 -3.34 0.001 -7.230359 -1.876359 + 105 | -3.673654 1.346438 -2.73 0.006 -6.314021 -1.033286 + 106 | -2.75928 1.274052 -2.17 0.030 -5.257699 -.2608614 + 107 | -2.107342 1.381958 -1.52 0.127 -4.817366 .6026809 + 108 | -5.381252 3.663178 -1.47 0.142 -12.56475 1.802249 + 109 | -4.867776 3.693818 -1.32 0.188 -12.11136 2.375811 + 110 | -5.406219 3.67558 -1.47 0.141 -12.61404 1.801603 + 111 | -6.34362 3.712912 -1.71 0.088 -13.62465 .9374103 + | + minor | + 101 | .4917096 5.701077 0.09 0.931 -10.68812 11.67154 + 103 | -6.670737 3.918864 -1.70 0.089 -14.35564 1.014165 + 104 | 4.694062 5.073118 0.93 0.355 -5.254336 14.64246 + 105 | .7952913 3.313382 0.24 0.810 -5.70226 7.292843 + 107 | .6904594 3.272152 0.21 0.833 -5.72624 7.107159 + 108 | 7.86687 5.304915 1.48 0.138 -2.536083 18.26982 + 110 | -5.58041 3.40311 -1.64 0.101 -12.25392 1.093099 + 200 | -.4249188 3.658488 -0.12 0.908 -7.599223 6.749385 + 201 | -3.454577 3.934115 -0.88 0.380 -11.16939 4.260234 + 202 | 6.736967 5.718463 1.18 0.239 -4.476954 17.95089 + 204 | 15.07447 11.7338 1.28 0.199 -7.935548 38.08448 + 205 | 7.446266 6.980033 1.07 0.286 -6.241598 21.13413 + 206 | -.8656981 3.744047 -0.23 0.817 -8.207785 6.476389 + 207 | -1.439072 3.507433 -0.41 0.682 -8.317158 5.439013 + 208 | 3.322323 3.600846 0.92 0.356 -3.738946 10.38359 + 209 | -10.57834 3.350289 -3.16 0.002 -17.14826 -4.00841 + 299 | -2.899369 3.481129 -0.83 0.405 -9.725873 3.927136 + 300 | 5.394539 4.362452 1.24 0.216 -3.160242 13.94932 + 301 | 7.797256 3.568834 2.18 0.029 .7987634 14.79575 + 302 | 7.056959 3.35674 2.10 0.036 .4743826 13.63953 + 321 | 8.989425 3.673235 2.45 0.014 1.786201 16.19265 + 322 | 12.1774 3.585888 3.40 0.001 5.145468 19.20934 + 323 | 11.25919 3.688684 3.05 0.002 4.025673 18.49271 + 324 | 2.392641 3.890056 0.62 0.539 -5.23577 10.02105 + 325 | 13.3205 3.853759 3.46 0.001 5.763273 20.87774 + 331 | 15.07905 3.838343 3.93 0.000 7.55205 22.60605 + 332 | 9.932089 3.759865 2.64 0.008 2.558984 17.30519 + 333 | 11.41799 4.563536 2.50 0.012 2.468881 20.36709 + 334 | 14.14477 3.780714 3.74 0.000 6.730779 21.55876 + 335 | 4.846569 3.761633 1.29 0.198 -2.530003 12.22314 + 336 | 14.55376 3.905035 3.73 0.000 6.895974 22.21154 + 341 | 8.920684 4.154811 2.15 0.032 .7730889 17.06828 + 342 | 20.6203 5.901894 3.49 0.000 9.046668 32.19393 + 343 | .428172 3.717593 0.12 0.908 -6.862039 7.718383 + 344 | 9.096601 8.194166 1.11 0.267 -6.97218 25.16538 + 398 | 16.2635 3.707982 4.39 0.000 8.992137 23.53486 + 399 | 7.203059 4.510733 1.60 0.110 -1.6425 16.04862 + 400 | 2.336851 3.963781 0.59 0.556 -5.436134 10.10984 + 401 | 10.52263 4.248458 2.48 0.013 2.191392 18.85387 + 402 | 5.043609 3.557644 1.42 0.156 -1.93294 12.02016 + 403 | 3.336872 3.778242 0.88 0.377 -4.072271 10.74601 + 404 | 7.494183 4.553274 1.65 0.100 -1.4348 16.42317 + 405 | 18.71963 5.564793 3.36 0.001 7.80706 29.63221 + 498 | 10.7379 4.94625 2.17 0.030 1.038291 20.43751 + 499 | 7.165736 5.25828 1.36 0.173 -3.145766 17.47724 + 500 | -.5044758 4.308799 -0.12 0.907 -8.954043 7.945091 + 501 | 6.236818 3.812806 1.64 0.102 -1.240105 13.71374 + 502 | 6.319685 3.778184 1.67 0.095 -1.089345 13.72872 + 503 | 4.294892 3.281846 1.31 0.191 -2.140818 10.7306 + 504 | -1.909962 4.101173 -0.47 0.641 -9.952372 6.132449 + 505 | 4.854502 3.966077 1.22 0.221 -2.922985 12.63199 + 506 | 8.310258 4.706944 1.77 0.078 -.9200725 17.54059 + 508 | 5.475247 3.728388 1.47 0.142 -1.836132 12.78663 + 529 | 8.04351 6.046614 1.33 0.184 -3.813917 19.90094 + 530 | 4.805426 3.412032 1.41 0.159 -1.885577 11.49643 + 599 | 3.183775 4.83912 0.66 0.511 -6.305752 12.6733 + 600 | 1.351456 3.528524 0.38 0.702 -5.56799 8.270902 + 601 | 8.858897 3.332019 2.66 0.008 2.324799 15.39299 + 602 | 5.475798 3.398342 1.61 0.107 -1.188359 12.13996 + 603 | 7.306457 3.873278 1.89 0.059 -.2890519 14.90197 + 604 | 7.413497 5.378575 1.38 0.168 -3.133903 17.9609 + 606 | 3.069377 3.773613 0.81 0.416 -4.33069 10.46944 + 607 | 4.381975 3.551674 1.23 0.217 -2.582867 11.34682 + 609 | 9.578099 6.894515 1.39 0.165 -3.942064 23.09826 + 698 | 3.948934 7.278206 0.54 0.587 -10.32365 18.22151 + 699 | 1.427899 4.329352 0.33 0.742 -7.061972 9.917769 + 700 | 5.153992 3.790227 1.36 0.174 -2.278654 12.58664 + 701 | 7.407784 3.96189 1.87 0.062 -.3614925 15.17706 + 703 | 7.641577 3.837162 1.99 0.047 .116891 15.16626 + 704 | 3.817869 3.602887 1.06 0.289 -3.247402 10.88314 + 705 | 6.48653 3.689726 1.76 0.079 -.7490335 13.72209 + 707 | 11.18489 4.580457 2.44 0.015 2.202606 20.16718 + 708 | .6359177 4.075326 0.16 0.876 -7.355808 8.627644 + 709 | 10.7634 3.539187 3.04 0.002 3.823044 17.70375 + 710 | 12.31118 3.599279 3.42 0.001 5.252985 19.36938 + 711 | 9.138178 4.014998 2.28 0.023 1.264755 17.0116 + 798 | 5.918032 4.303671 1.38 0.169 -2.521478 14.35754 + 799 | 9.938237 5.973457 1.66 0.096 -1.775729 21.6522 + 800 | 4.259588 3.854049 1.11 0.269 -3.298211 11.81739 + 801 | 11.28857 4.733986 2.38 0.017 2.00521 20.57193 + 802 | 4.529466 3.746178 1.21 0.227 -2.8168 11.87573 + 803 | 5.049412 3.420597 1.48 0.140 -1.658388 11.75721 + 805 | 6.678454 5.368416 1.24 0.214 -3.849024 17.20593 + 806 | 11.49669 3.571815 3.22 0.001 4.492353 18.50103 + 807 | 7.213938 3.982201 1.81 0.070 -.5951694 15.02304 + 898 | -1.320042 4.699466 -0.28 0.779 -10.53571 7.895625 + 899 | .9055779 6.747325 0.13 0.893 -12.32595 14.1371 + 1000 | 5.975291 4.536866 1.32 0.188 -2.921516 14.8721 + 1001 | 6.887645 4.366265 1.58 0.115 -1.674613 15.4499 + 1002 | 5.626075 3.743093 1.50 0.133 -1.714141 12.96629 + 1003 | 8.364424 3.503126 2.39 0.017 1.494785 15.23406 + 1005 | 5.609053 4.321773 1.30 0.194 -2.865956 14.08406 + 1006 | 12.31533 4.05098 3.04 0.002 4.37135 20.25932 + 1007 | 5.835446 3.579454 1.63 0.103 -1.183873 12.85477 + 1010 | -.521317 3.994438 -0.13 0.896 -8.354421 7.311787 + 1098 | -5.66009 6.302317 -0.90 0.369 -18.01895 6.698771 + 1099 | 12.57988 12.50004 1.01 0.314 -11.93274 37.0925 + 1200 | 12.9568 6.027665 2.15 0.032 1.13653 24.77706 + 1201 | 10.79219 3.973012 2.72 0.007 3.001102 18.58328 + 1202 | 9.326783 5.165672 1.81 0.071 -.8031135 19.45668 + 1203 | 5.342401 3.684628 1.45 0.147 -1.883164 12.56797 + 1204 | 5.960952 3.730623 1.60 0.110 -1.354811 13.27671 + 1205 | 9.709517 4.214216 2.30 0.021 1.445427 17.97361 + 1206 | 4.079829 3.931508 1.04 0.300 -3.62987 11.78953 + 1207 | 9.476619 3.85865 2.46 0.014 1.909796 17.04344 + 1208 | 7.982958 3.461837 2.31 0.021 1.194287 14.77163 + 1209 | 6.329448 3.359112 1.88 0.060 -.2577789 12.91667 + 1210 | 7.993844 3.782989 2.11 0.035 .5753919 15.4123 + 1211 | 8.253855 4.193394 1.97 0.049 .0305986 16.47711 + 1299 | 3.057023 5.487986 0.56 0.578 -7.704933 13.81898 + 1300 | 3.966541 4.411057 0.90 0.369 -4.683554 12.61664 + 1301 | 5.089191 4.048111 1.26 0.209 -2.849166 13.02755 + 1302 | .5080124 3.728602 0.14 0.892 -6.803787 7.819812 + 1303 | 3.644956 3.39561 1.07 0.283 -3.013846 10.30376 + 1304 | 12.87953 4.15496 3.10 0.002 4.731637 21.02741 + 1305 | 11.94061 5.167839 2.31 0.021 1.806462 22.07476 + 1399 | 6.680821 6.835065 0.98 0.328 -6.72276 20.0844 + 1400 | 7.33385 3.761464 1.95 0.051 -.0423913 14.71009 + 1401 | 8.770344 3.903786 2.25 0.025 1.115009 16.42568 + 1403 | 9.322905 4.83943 1.93 0.054 -.1672307 18.81304 + 1404 | 4.748221 6.513959 0.73 0.466 -8.025669 17.52211 + 1405 | 7.226165 4.069057 1.78 0.076 -.753266 15.2056 + 1406 | 4.970301 3.677236 1.35 0.177 -2.240768 12.18137 + 1407 | 12.47052 4.527943 2.75 0.006 3.591213 21.34983 + 1408 | 6.634628 5.776266 1.15 0.251 -4.692645 17.9619 + 1409 | 13.57333 5.497299 2.47 0.014 2.793109 24.35354 + 1410 | 11.35931 4.267945 2.66 0.008 2.989853 19.72876 + 1499 | 8.317354 7.282063 1.14 0.254 -5.962791 22.5975 + 1500 | 5.482597 4.868445 1.13 0.260 -4.064437 15.02963 + 1501 | 7.48068 3.52052 2.12 0.034 .5769314 14.38443 + 1502 | 3.085632 3.590038 0.86 0.390 -3.954442 10.12571 + 1504 | 8.070212 3.654903 2.21 0.027 .9029368 15.23749 + 1505 | 11.60862 4.348014 2.67 0.008 3.082155 20.13509 + 1507 | 9.047173 4.405285 2.05 0.040 .4083973 17.68595 + 1520 | 3.580303 4.650027 0.77 0.441 -5.538413 12.69902 + 1521 | 6.432866 3.521891 1.83 0.068 -.4735719 13.3393 + 1522 | 14.2153 4.240697 3.35 0.001 5.899284 22.53132 + 1523 | 8.951602 3.577866 2.50 0.012 1.935397 15.96781 + 1524 | 18.61874 9.29994 2.00 0.045 .3815367 36.85595 + 1525 | 5.747776 3.603171 1.60 0.111 -1.318051 12.8136 + 1526 | 12.96275 4.747233 2.73 0.006 3.65341 22.27208 + 1599 | 8.677537 4.472123 1.94 0.052 -.092309 17.44738 + 1600 | 4.900612 4.799996 1.02 0.307 -4.512193 14.31342 + 1602 | -2.242688 4.255774 -0.53 0.598 -10.58827 6.102896 + 1603 | -.7146291 5.797222 -0.12 0.902 -12.083 10.65374 + 1604 | 5.821979 5.191889 1.12 0.262 -4.35933 16.00329 + 1605 | 1.475528 4.122455 0.36 0.720 -6.608617 9.559673 + 1606 | 1.605308 4.536142 0.35 0.723 -7.290079 10.5007 + 1608 | 8.848761 3.391328 2.61 0.009 2.198358 15.49916 + 1609 | 9.368131 3.471652 2.70 0.007 2.560212 16.17605 + 1610 | 8.44666 5.16258 1.64 0.102 -1.677174 18.57049 + 1611 | 1.14613 3.980941 0.29 0.773 -6.660507 8.952766 + 1612 | 10.42184 4.235832 2.46 0.014 2.115361 18.72832 + 1614 | 4.016966 4.606602 0.87 0.383 -5.016594 13.05053 + 1615 | 7.231635 4.082278 1.77 0.077 -.7737232 15.23699 + 1616 | 5.191819 3.916328 1.33 0.185 -2.488111 12.87175 + 1617 | .8512063 4.671766 0.18 0.855 -8.310139 10.01255 + 1619 | 4.618065 4.94665 0.93 0.351 -5.08233 14.31846 + 1620 | 24.51689 6.696145 3.66 0.000 11.38573 37.64805 + 1698 | 6.162677 6.974497 0.88 0.377 -7.51433 19.83969 + 1699 | 13.10269 4.023936 3.26 0.001 5.21174 20.99364 + 1700 | 13.08526 5.125235 2.55 0.011 3.034664 23.13586 + 1701 | 13.54035 5.380477 2.52 0.012 2.989224 24.09148 + 1704 | 23.58499 8.106896 2.91 0.004 7.687345 39.48264 + 1705 | 10.07096 9.122606 1.10 0.270 -7.818499 27.96041 + 1706 | 6.926668 3.853796 1.80 0.072 -.6306374 14.48397 + 1707 | 8.436838 3.962961 2.13 0.033 .6654604 16.20822 + 1708 | 16.00439 5.106242 3.13 0.002 5.991039 26.01775 + 1709 | 9.117187 3.949773 2.31 0.021 1.371672 16.8627 + 1798 | 8.012845 5.059398 1.58 0.113 -1.90865 17.93434 + 1799 | -1.024194 5.137765 -0.20 0.842 -11.09936 9.050977 + 1800 | 3.8227 4.41167 0.87 0.386 -4.828596 12.474 + 1802 | 9.277016 3.818352 2.43 0.015 1.789218 16.76481 + 1803 | 7.698779 4.503582 1.71 0.087 -1.132758 16.53032 + 1804 | 5.688377 5.373991 1.06 0.290 -4.850034 16.22679 + 1806 | 7.211861 5.069021 1.42 0.155 -2.728503 17.15222 + 1807 | -5.775817 3.265019 -1.77 0.077 -12.17853 .6268947 + 1808 | 1.653203 10.7759 0.15 0.878 -19.47838 22.78478 + 1899 | -.273547 7.210432 -0.04 0.970 -14.41322 13.86613 + 1900 | 9.218948 5.645224 1.63 0.103 -1.851351 20.28925 + 1901 | 9.223485 4.037123 2.28 0.022 1.306676 17.14029 + 1902 | 8.104555 4.59196 1.76 0.078 -.9002909 17.1094 + 1905 | 2.198873 4.239406 0.52 0.604 -6.114615 10.51236 + 1906 | 6.700783 4.495488 1.49 0.136 -2.114882 15.51645 + 1907 | 16.04701 7.933337 2.02 0.043 .4897169 31.60431 + 1908 | 11.60459 7.792732 1.49 0.137 -3.676981 26.88616 + 1909 | 4.779333 7.572372 0.63 0.528 -10.07011 19.62878 + 1910 | 9.686298 7.851458 1.23 0.217 -5.710432 25.08303 + 1911 | 12.92072 7.437024 1.74 0.082 -1.663308 27.50474 + 1914 | 13.90382 5.709906 2.44 0.015 2.70668 25.10096 + 1919 | 12.02222 7.691529 1.56 0.118 -3.060892 27.10533 + 1920 | 12.69016 4.167408 3.05 0.002 4.517863 20.86246 + 1925 | 10.32844 6.210183 1.66 0.096 -1.849747 22.50662 + 1926 | -.4949852 4.46279 -0.11 0.912 -9.246528 8.256558 + 1927 | 5.278769 4.66279 1.13 0.258 -3.864974 14.42251 + 1929 | 8.752987 4.913236 1.78 0.075 -.881883 18.38786 + 1999 | 20.62917 15.33334 1.35 0.179 -9.439557 50.69789 + 2000 | 2.06132 3.691202 0.56 0.577 -5.177137 9.299776 + 2001 | 4.913429 3.746938 1.31 0.190 -2.434327 12.26119 + 2002 | 2.695461 3.473001 0.78 0.438 -4.115103 9.506025 + 2003 | 7.811401 3.79827 2.06 0.040 .3629825 15.25982 + 2004 | 9.792797 3.486011 2.81 0.005 2.956721 16.62887 + 2005 | 12.76848 6.223473 2.05 0.040 .5642287 24.97272 + 2006 | 21.32749 3.680997 5.79 0.000 14.10905 28.54594 + 2007 | -1.236337 3.630243 -0.34 0.733 -8.355253 5.882578 + 2008 | 19.09696 3.356111 5.69 0.000 12.51562 25.6783 + 2009 | 5.570319 4.98442 1.12 0.264 -4.204142 15.34478 + 2011 | 5.082878 3.51935 1.44 0.149 -1.818577 11.98433 + 2012 | 1.979708 3.426631 0.58 0.563 -4.739925 8.699342 + 2013 | 2.151704 6.28305 0.34 0.732 -10.16937 14.47278 + 2014 | 6.323386 5.122701 1.23 0.217 -3.722245 16.36902 + 2015 | 9.388103 5.563531 1.69 0.092 -1.521997 20.2982 + 2030 | 3.380385 5.221273 0.65 0.517 -6.858545 13.61931 + 2099 | 16.44581 5.303392 3.10 0.002 6.045847 26.84578 + 2100 | -2.25132 3.697407 -0.61 0.543 -9.501946 4.999306 + 2101 | 9.80388 3.382008 2.90 0.004 3.171752 16.43601 + 2102 | 12.83689 3.564342 3.60 0.000 5.847203 19.82657 + 2103 | 5.444951 3.372121 1.61 0.107 -1.167787 12.05769 + 2104 | 6.923458 3.51015 1.97 0.049 .0400437 13.80687 + 2105 | 2.960725 8.508424 0.35 0.728 -13.72432 19.64577 + 2199 | 12.76532 12.30407 1.04 0.300 -11.363 36.89364 + 9999 | 4.15602 4.313181 0.96 0.335 -4.302139 12.61418 + | + house_administration | -4.371904 1.089614 -4.01 0.000 -6.50864 -2.235168 + house_agriculture | 3.318467 .9235149 3.59 0.000 1.507452 5.129482 + house_appropriations | -4.215621 1.457811 -2.89 0.004 -7.074392 -1.35685 + house_armedservices | -.286613 .8351549 -0.34 0.731 -1.924354 1.351128 + house_budget | -1.545324 1.303643 -1.19 0.236 -4.10177 1.011123 + house_dc | -4.065404 9.877701 -0.41 0.681 -23.4356 15.30479 + house_educlabor | -2.776604 .6246654 -4.44 0.000 -4.001574 -1.551633 + house_energycommerce | .0898332 .5554826 0.16 0.872 -.9994697 1.179136 + house_foreignaffairs | .9807807 1.667538 0.59 0.556 -2.289266 4.250827 + house_governmentop | -2.295796 1.345975 -1.71 0.088 -4.935256 .343664 + house_intelligence | 11.14421 4.573431 2.44 0.015 2.175698 20.11272 + house_interior | -2.866667 1.50066 -1.91 0.056 -5.809464 .0761307 + house_judiciary | -.7495753 .5778447 -1.30 0.195 -1.88273 .3835799 + house_mmf | 3.022699 1.686464 1.79 0.073 -.2844617 6.329859 + house_pocs | 2.597404 1.600862 1.62 0.105 -.5418916 5.736699 + house_pwt | -.4906863 1.340052 -0.37 0.714 -3.118533 2.13716 + house_rules | -2.952121 1.074783 -2.75 0.006 -5.059773 -.8444678 + house_sst | 1.790784 2.549984 0.70 0.483 -3.209741 6.791309 + house_smallbusi | -.5152825 2.406757 -0.21 0.830 -5.234939 4.204374 + house_soc | .5387444 5.832152 0.09 0.926 -10.89812 11.97561 + house_veterans | 1.444364 .9619418 1.50 0.133 -.4420068 3.330734 + house_waysandmeans | -.7458772 .472997 -1.58 0.115 -1.673426 .1816711 +house_naturalresources | -2.129212 1.201079 -1.77 0.076 -4.48453 .2261068 + house_bfs | -1.57802 .7641484 -2.07 0.039 -3.076517 -.0795234 + house_eeo | -3.158167 1.555892 -2.03 0.042 -6.209276 -.107058 + house_govreform | 2.045924 .8611665 2.38 0.018 .3571738 3.734673 + house_ir | -.9175637 1.433352 -0.64 0.522 -3.728371 1.893244 + house_natsecur | -.0812549 1.681451 -0.05 0.961 -3.378585 3.216076 + house_oversight | .2770178 1.165565 0.24 0.812 -2.008658 2.562693 + house_resources | -3.840813 .9485006 -4.05 0.000 -5.700825 -1.9808 + house_science | .4490765 1.402934 0.32 0.749 -2.302081 3.200234 + house_transp | -.8189247 .7753939 -1.06 0.291 -2.339474 .7016249 + house_homeland | 1.035212 1.926846 0.54 0.591 -2.743338 4.813763 + sponsor_democrat | -5.786227 .5160406 -11.21 0.000 -6.798184 -4.77427 + sponsor_rookie | -1.328971 .7232149 -1.84 0.066 -2.747198 .0892552 + sponsor_tenure_run | .8199955 .2999621 2.73 0.006 .2317689 1.408222 + sponsor_age | -.0789301 .02849 -2.77 0.006 -.1347991 -.023061 + leader | 1.521078 2.301175 0.66 0.509 -2.991533 6.033689 + ivycoll | .873022 .7467252 1.17 0.242 -.5913081 2.337352 + black | .2794456 1.154275 0.24 0.809 -1.98409 2.542981 + occ0 | 1.842224 .715452 2.57 0.010 .4392211 3.245228 + occ1 | 2.314332 .8154069 2.84 0.005 .7153167 3.913347 + occ2 | 1.610261 .6218828 2.59 0.010 .3907467 2.829775 + occ3 | 1.55058 1.044813 1.48 0.138 -.4983021 3.599462 + occ4 | .6993294 .6587353 1.06 0.289 -.5924523 1.991111 + borninstate | -.2019507 .4551022 -0.44 0.657 -1.094407 .690506 + tot_bills | -.0460561 .0216661 -2.13 0.034 -.0885433 -.0035689 + NE | -1.154143 .7532172 -1.53 0.126 -2.631204 .3229176 + MW | -.8096379 .6944039 -1.17 0.244 -2.171366 .5520901 + WE | -1.734517 .7372251 -2.35 0.019 -3.180217 -.2888161 + pct_black | -3.057268 2.513988 -1.22 0.224 -7.987206 1.87267 + pct_urban | 1.9359 1.580533 1.22 0.221 -1.163529 5.035329 + pct_for_born | -5.185035 3.385858 -1.53 0.126 -11.82471 1.454642 + pct_age_over65 | 17.22521 6.437972 2.68 0.008 4.600332 29.85009 + lninc | 3.109473 1.290705 2.41 0.016 .5783972 5.64055 + lnpden | -.2230805 .2307695 -0.97 0.334 -.6756202 .2294592 + _cons | -16.56445 13.15193 -1.26 0.208 -42.35543 9.226518 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,286 1 0 1 1 + + +j = 1 k = 2 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6186 +----------------------+---------------------- NN matches = 3 + Number of obs | 2192 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 24.47749 44.63704 .5483673 +---------------------------------------------- +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 o +> cc3 occ4 borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if sponsor_party==100 & tag_bill==1 & tenured==0, robust clust +> er(group_sponsor) +note: sponsor_democrat omitted because of collinearity + +Linear regression Number of obs = 11,350 + F(278, 1115) = . + Prob > F = . + R-squared = 0.1199 + Root MSE = 17.272 + + (Std. Err. adjusted for 1,116 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -1.18002 .6067614 -1.94 0.052 -2.370543 .0105023 + | + v2 | + 102 | -2.208815 1.047588 -2.11 0.035 -4.264281 -.1533491 + 103 | .7320236 1.424458 0.51 0.607 -2.062896 3.526943 + 104 | -1.612814 1.561769 -1.03 0.302 -4.677151 1.451523 + 105 | -1.624617 1.404132 -1.16 0.248 -4.379655 1.130421 + 106 | -2.099471 1.298456 -1.62 0.106 -4.647164 .4482227 + 107 | -1.288539 1.543694 -0.83 0.404 -4.317412 1.740333 + 108 | -3.247727 4.051502 -0.80 0.423 -11.19715 4.701699 + 109 | -1.795679 4.165715 -0.43 0.667 -9.969202 6.377844 + 110 | 2.844022 4.068322 0.70 0.485 -5.138408 10.82645 + 111 | .2920346 4.126089 0.07 0.944 -7.803739 8.387808 + | + minor | + 101 | -.4176066 8.745729 -0.05 0.962 -17.57755 16.74234 + 103 | -5.996036 5.20354 -1.15 0.249 -16.20587 4.213797 + 104 | -4.46561 6.989201 -0.64 0.523 -18.17908 9.247858 + 105 | -.7369573 5.483677 -0.13 0.893 -11.49645 10.02253 + 107 | -.5386532 5.20265 -0.10 0.918 -10.74674 9.669435 + 108 | .3425019 6.575888 0.05 0.958 -12.56001 13.24501 + 110 | -12.00204 5.273085 -2.28 0.023 -22.34833 -1.655753 + 200 | -7.20583 5.318495 -1.35 0.176 -17.64122 3.229556 + 201 | -8.885809 5.593891 -1.59 0.112 -19.86155 2.089931 + 202 | -3.502822 5.520746 -0.63 0.526 -14.33504 7.3294 + 204 | 11.97106 5.374932 2.23 0.026 1.424941 22.51718 + 205 | -2.571976 7.274971 -0.35 0.724 -16.84615 11.7022 + 206 | -8.075182 5.530019 -1.46 0.145 -18.9256 2.775234 + 207 | -1.838816 5.536767 -0.33 0.740 -12.70247 9.024841 + 208 | -5.595315 5.34841 -1.05 0.296 -16.0894 4.898767 + 299 | -8.637838 5.661139 -1.53 0.127 -19.74552 2.469847 + 300 | -1.762172 5.713104 -0.31 0.758 -12.97182 9.447473 + 301 | -.1983197 5.422648 -0.04 0.971 -10.83806 10.44143 + 302 | .148591 5.16807 0.03 0.977 -9.991647 10.28883 + 321 | .3131982 5.452608 0.06 0.954 -10.38533 11.01173 + 322 | .2077165 5.417141 0.04 0.969 -10.42122 10.83665 + 323 | 2.716454 5.55576 0.49 0.625 -8.184468 13.61738 + 324 | -2.899693 6.066176 -0.48 0.633 -14.8021 9.002714 + 325 | 1.78422 5.521048 0.32 0.747 -9.048595 12.61703 + 331 | 2.317394 5.354637 0.43 0.665 -8.188907 12.82369 + 332 | -1.724717 5.318856 -0.32 0.746 -12.16081 8.711377 + 333 | -1.918692 5.484979 -0.35 0.727 -12.68074 8.843351 + 334 | 1.84607 5.401559 0.34 0.733 -8.752295 12.44444 + 335 | -3.813099 5.336281 -0.71 0.475 -14.28338 6.657185 + 336 | 2.969335 5.488917 0.54 0.589 -7.800435 13.7391 + 341 | .8917637 5.796525 0.15 0.878 -10.48156 12.26509 + 342 | 6.32345 7.722347 0.82 0.413 -8.82852 21.47542 + 343 | -.7216521 5.770002 -0.13 0.900 -12.04294 10.59963 + 344 | -4.646534 5.855232 -0.79 0.428 -16.13505 6.841981 + 398 | 3.59364 5.332837 0.67 0.501 -6.869888 14.05717 + 399 | -.3192662 5.940479 -0.05 0.957 -11.97504 11.33651 + 400 | -6.08208 5.499014 -1.11 0.269 -16.87166 4.707501 + 401 | 14.83719 7.078197 2.10 0.036 .9491054 28.72528 + 402 | -2.428986 5.363729 -0.45 0.651 -12.95313 8.095155 + 403 | .5696135 5.777515 0.10 0.921 -10.76641 11.90564 + 404 | 4.756322 7.008018 0.68 0.497 -8.994067 18.50671 + 405 | 16.68721 8.201637 2.03 0.042 .5948259 32.77959 + 498 | 4.39106 7.350383 0.60 0.550 -10.03108 18.8132 + 499 | 13.79084 11.32878 1.22 0.224 -8.437293 36.01898 + 500 | .0661405 5.7739 0.01 0.991 -11.26279 11.39507 + 501 | .3180371 5.470033 0.06 0.954 -10.41468 11.05076 + 502 | -2.10047 5.488539 -0.38 0.702 -12.8695 8.668558 + 503 | -1.974245 5.083923 -0.39 0.698 -11.94938 8.000889 + 504 | -1.124896 6.231704 -0.18 0.857 -13.35208 11.10229 + 505 | 5.940744 6.630846 0.90 0.370 -7.069597 18.95109 + 506 | .1778113 6.365049 0.03 0.978 -12.31101 12.66663 + 508 | -3.496362 5.211899 -0.67 0.502 -13.7226 6.729873 + 529 | 10.52941 10.05586 1.05 0.295 -9.201121 30.25995 + 530 | -1.22103 5.25092 -0.23 0.816 -11.52383 9.081768 + 599 | -2.898341 6.006409 -0.48 0.630 -14.68348 8.886798 + 600 | -2.318013 5.385337 -0.43 0.667 -12.88455 8.248524 + 601 | 1.560282 5.141888 0.30 0.762 -8.528584 11.64915 + 602 | -1.639916 5.135102 -0.32 0.750 -11.71547 8.435637 + 603 | -1.191899 5.436965 -0.22 0.827 -11.85973 9.475936 + 604 | -7.281967 5.266811 -1.38 0.167 -17.61594 3.052011 + 606 | -1.045117 5.21996 -0.20 0.841 -11.28717 9.196935 + 607 | -1.554313 5.207597 -0.30 0.765 -11.77211 8.663482 + 609 | -.2037338 6.327114 -0.03 0.974 -12.61812 12.21066 + 698 | -1.077583 7.366806 -0.15 0.884 -15.53195 13.37678 + 699 | .1657206 5.905432 0.03 0.978 -11.42129 11.75273 + 700 | .0245422 5.653212 0.00 0.997 -11.06759 11.11667 + 701 | 1.086793 5.584797 0.19 0.846 -9.871103 12.04469 + 703 | .7059724 5.803458 0.12 0.903 -10.68096 12.0929 + 704 | -.1253155 5.430601 -0.02 0.982 -10.78066 10.53003 + 705 | 1.181254 5.888816 0.20 0.841 -10.37315 12.73566 + 707 | 3.233548 5.72279 0.57 0.572 -7.995103 14.4622 + 708 | -6.586126 5.279365 -1.25 0.212 -16.94474 3.772483 + 709 | 3.776038 5.448385 0.69 0.488 -6.914205 14.46628 + 710 | 4.893234 5.53248 0.88 0.377 -5.962011 15.74848 + 711 | 4.007895 5.876111 0.68 0.495 -7.521585 15.53738 + 798 | -5.507643 5.901938 -0.93 0.351 -17.0878 6.072513 + 799 | -5.811832 5.562821 -1.04 0.296 -16.72661 5.102944 + 800 | -3.089118 5.470628 -0.56 0.572 -13.823 7.644769 + 801 | 12.95493 7.04461 1.84 0.066 -.8672565 26.77712 + 802 | .3019447 5.744385 0.05 0.958 -10.96908 11.57297 + 803 | -2.474026 5.265606 -0.47 0.639 -12.80564 7.857587 + 805 | 7.51555 9.890228 0.76 0.447 -11.89 26.92111 + 806 | 5.109922 5.408546 0.94 0.345 -5.502153 15.722 + 807 | -.740413 5.640048 -0.13 0.896 -11.80672 10.32589 + 898 | 2.765787 6.905894 0.40 0.689 -10.78423 16.3158 + 899 | -6.492914 7.06242 -0.92 0.358 -20.35005 7.364217 + 1000 | 2.817915 7.189503 0.39 0.695 -11.28856 16.9244 + 1001 | -1.70664 5.870266 -0.29 0.771 -13.22465 9.811372 + 1002 | 1.438296 5.942471 0.24 0.809 -10.22139 13.09798 + 1003 | 2.886908 5.354595 0.54 0.590 -7.619311 13.39313 + 1005 | -2.683111 6.075606 -0.44 0.659 -14.60402 9.237798 + 1006 | 8.083874 6.054037 1.34 0.182 -3.794714 19.96246 + 1007 | -.8162779 5.389853 -0.15 0.880 -11.39167 9.759119 + 1010 | -3.674929 5.819879 -0.63 0.528 -15.09408 7.74422 + 1098 | -.5496076 9.049353 -0.06 0.952 -18.30529 17.20607 + 1099 | -10.79599 5.417463 -1.99 0.047 -21.42556 -.166415 + 1200 | 1.251507 7.642972 0.16 0.870 -13.74472 16.24773 + 1201 | 1.301254 5.74279 0.23 0.821 -9.966639 12.56915 + 1202 | 4.223544 7.489995 0.56 0.573 -10.47253 18.91962 + 1203 | 3.918604 5.776156 0.68 0.498 -7.414756 15.25196 + 1204 | 2.788371 5.722333 0.49 0.626 -8.439384 14.01613 + 1205 | 12.50213 6.700035 1.87 0.062 -.6439666 25.64823 + 1206 | -6.124952 5.195528 -1.18 0.239 -16.31907 4.069161 + 1207 | 7.516157 5.923692 1.27 0.205 -4.106683 19.139 + 1208 | -2.19381 5.216906 -0.42 0.674 -12.42987 8.04225 + 1209 | -3.532997 5.188228 -0.68 0.496 -13.71279 6.646793 + 1210 | 4.727559 6.307826 0.75 0.454 -7.648988 17.10411 + 1211 | -2.696477 5.68665 -0.47 0.635 -13.85422 8.461265 + 1299 | -1.479082 6.354937 -0.23 0.816 -13.94807 10.9899 + 1300 | 2.143992 6.238464 0.34 0.731 -10.09646 14.38444 + 1301 | -.8291533 5.507072 -0.15 0.880 -11.63454 9.976238 + 1302 | -6.417514 5.338453 -1.20 0.230 -16.89206 4.057032 + 1303 | -3.625136 5.281186 -0.69 0.493 -13.98732 6.737046 + 1304 | -.8946411 5.41018 -0.17 0.869 -11.50992 9.72064 + 1305 | 13.56597 7.620014 1.78 0.075 -1.38521 28.51715 + 1399 | 1.650798 7.75657 0.21 0.832 -13.56832 16.86992 + 1400 | 1.709037 5.594137 0.31 0.760 -9.267184 12.68526 + 1401 | .4218462 5.490171 0.08 0.939 -10.35038 11.19408 + 1403 | -7.428153 5.241267 -1.42 0.157 -17.71201 2.855704 + 1404 | -7.340346 7.472985 -0.98 0.326 -22.00304 7.322352 + 1405 | 1.151399 5.830762 0.20 0.843 -10.2891 12.5919 + 1406 | -4.199129 5.330655 -0.79 0.431 -14.65837 6.260116 + 1407 | -.5714833 5.66576 -0.10 0.920 -11.68824 10.54527 + 1408 | 7.431967 8.192644 0.91 0.365 -8.642769 23.5067 + 1409 | .0160736 6.167413 0.00 0.998 -12.08497 12.11712 + 1410 | 1.300125 5.813442 0.22 0.823 -10.10639 12.70664 + 1499 | 8.378686 10.65449 0.79 0.432 -12.52643 29.2838 + 1500 | 2.087962 7.26584 0.29 0.774 -12.1683 16.34422 + 1501 | -1.128302 5.357265 -0.21 0.833 -11.63976 9.383154 + 1502 | -2.39095 5.563674 -0.43 0.667 -13.3074 8.5255 + 1504 | -.2865572 5.482727 -0.05 0.958 -11.04418 10.47107 + 1505 | 1.307584 6.097717 0.21 0.830 -10.65671 13.27188 + 1507 | .3335506 6.714734 0.05 0.960 -12.84139 13.50849 + 1520 | -.9828532 6.602389 -0.15 0.882 -13.93736 11.97165 + 1521 | 2.624791 5.51607 0.48 0.634 -8.198256 13.44784 + 1522 | 10.8699 7.083549 1.53 0.125 -3.028687 24.76849 + 1523 | 3.583923 5.393319 0.66 0.507 -6.998274 14.16612 + 1524 | 14.8038 12.55075 1.18 0.238 -9.821957 39.42956 + 1525 | -2.166683 5.307541 -0.41 0.683 -12.58058 8.247211 + 1526 | 2.182184 6.602944 0.33 0.741 -10.77341 15.13778 + 1599 | 8.981004 8.059595 1.11 0.265 -6.832678 24.79469 + 1600 | .5685911 6.56575 0.09 0.931 -12.31403 13.45121 + 1602 | -3.40707 6.155435 -0.55 0.580 -15.48461 8.67047 + 1603 | .3444103 7.40596 0.05 0.963 -14.18678 14.8756 + 1604 | -1.50198 7.752191 -0.19 0.846 -16.71251 13.70855 + 1605 | -3.234588 5.697122 -0.57 0.570 -14.41288 7.9437 + 1606 | -.9284972 6.066461 -0.15 0.878 -12.83146 10.97447 + 1608 | 1.788886 5.248297 0.34 0.733 -8.508765 12.08654 + 1609 | 1.712161 5.32015 0.32 0.748 -8.726472 12.15079 + 1610 | .403018 6.492626 0.06 0.951 -12.33612 13.14216 + 1611 | -5.501286 5.938528 -0.93 0.354 -17.15324 6.150663 + 1612 | 2.453015 6.065223 0.40 0.686 -9.447521 14.35355 + 1614 | -1.919603 5.904865 -0.33 0.745 -13.5055 9.666295 + 1615 | 4.196696 6.398053 0.66 0.512 -8.356885 16.75028 + 1616 | -.1892858 5.706227 -0.03 0.974 -11.38544 11.00687 + 1617 | -6.650058 5.892437 -1.13 0.259 -18.21157 4.911456 + 1619 | -9.311095 5.298734 -1.76 0.079 -19.70771 1.085518 + 1620 | 12.30219 8.206979 1.50 0.134 -3.800672 28.40506 + 1698 | 2.916656 8.894458 0.33 0.743 -14.53511 20.36842 + 1699 | 7.25386 5.99254 1.21 0.226 -4.504065 19.01179 + 1700 | 8.544925 7.224519 1.18 0.237 -5.63026 22.72011 + 1701 | 7.788394 7.12582 1.09 0.275 -6.193134 21.76992 + 1704 | 49.75186 7.879995 6.31 0.000 34.29057 65.21315 + 1705 | 7.780272 12.76354 0.61 0.542 -17.26299 32.82353 + 1706 | -.2904342 5.611964 -0.05 0.959 -11.30163 10.72077 + 1707 | 1.794243 5.896829 0.30 0.761 -9.775889 13.36437 + 1708 | 7.784027 6.993059 1.11 0.266 -5.937012 21.50507 + 1709 | .6811742 5.758702 0.12 0.906 -10.61794 11.98029 + 1798 | 1.042963 6.552664 0.16 0.874 -11.81398 13.8999 + 1799 | -3.061212 6.880351 -0.44 0.656 -16.56111 10.43868 + 1800 | -1.722613 6.823655 -0.25 0.801 -15.11126 11.66604 + 1802 | -.6092615 5.828197 -0.10 0.917 -12.04473 10.82621 + 1803 | -1.909709 5.843193 -0.33 0.744 -13.3746 9.555184 + 1804 | -2.782975 6.231877 -0.45 0.655 -15.0105 9.444553 + 1806 | -2.184237 6.401329 -0.34 0.733 -14.74425 10.37577 + 1807 | -6.570894 5.223345 -1.26 0.209 -16.81959 3.677799 + 1808 | 26.97906 5.630953 4.79 0.000 15.9306 38.02752 + 1899 | -8.523082 5.891911 -1.45 0.148 -20.08356 3.037399 + 1900 | -.2552882 7.213158 -0.04 0.972 -14.40818 13.8976 + 1901 | 1.834157 5.687639 0.32 0.747 -9.325524 12.99384 + 1902 | -2.165473 5.748771 -0.38 0.706 -13.4451 9.114155 + 1905 | -2.038229 5.803558 -0.35 0.726 -13.42535 9.348896 + 1906 | 7.993425 6.202011 1.29 0.198 -4.175503 20.16235 + 1907 | 10.15867 5.727734 1.77 0.076 -1.079682 21.39702 + 1908 | .921014 7.243395 0.13 0.899 -13.29121 15.13323 + 1909 | 2.872616 10.0347 0.29 0.775 -16.81641 22.56165 + 1910 | -5.077886 5.989634 -0.85 0.397 -16.83011 6.674338 + 1911 | 2.727574 6.917817 0.39 0.693 -10.84583 16.30098 + 1914 | .3610327 6.329048 0.06 0.955 -12.05715 12.77922 + 1919 | -8.977504 5.200263 -1.73 0.085 -19.18091 1.2259 + 1920 | 6.000296 5.754004 1.04 0.297 -5.289599 17.29019 + 1925 | 3.943932 6.335345 0.62 0.534 -8.486609 16.37447 + 1926 | 5.357882 7.130381 0.75 0.453 -8.632594 19.34836 + 1927 | 1.272568 7.107118 0.18 0.858 -12.67226 15.2174 + 1929 | 4.534155 7.739688 0.59 0.558 -10.65184 19.72015 + 1999 | 39.99954 5.369196 7.45 0.000 29.46467 50.5344 + 2000 | 3.429889 6.854082 0.50 0.617 -10.01846 16.87824 + 2001 | 3.774381 6.022677 0.63 0.531 -8.042676 15.59144 + 2002 | -1.446365 5.723284 -0.25 0.801 -12.67598 9.783256 + 2003 | .8959225 5.570384 0.16 0.872 -10.03369 11.82554 + 2004 | 2.019387 5.345081 0.38 0.706 -8.468164 12.50694 + 2005 | 14.3815 8.713832 1.65 0.099 -2.71586 31.47885 + 2006 | 13.05563 5.655925 2.31 0.021 1.958178 24.15309 + 2007 | -7.681497 5.586246 -1.38 0.169 -18.64224 3.279242 + 2008 | 14.38898 5.203475 2.77 0.006 4.179274 24.59868 + 2009 | 14.94055 9.075504 1.65 0.100 -2.866441 32.74754 + 2011 | 4.47004 5.662513 0.79 0.430 -6.640341 15.58042 + 2012 | -4.802852 5.431892 -0.88 0.377 -15.46073 5.855029 + 2013 | 4.341359 8.856115 0.49 0.624 -13.03517 21.71789 + 2014 | 11.97603 8.43801 1.42 0.156 -4.580134 28.5322 + 2015 | .7311203 7.239831 0.10 0.920 -13.47411 14.93635 + 2030 | 2.994811 7.705706 0.39 0.698 -12.12451 18.11413 + 2099 | 9.094698 6.747724 1.35 0.178 -4.14497 22.33437 + 2100 | -2.9474 6.233336 -0.47 0.636 -15.17779 9.282991 + 2101 | -.0275046 5.249021 -0.01 0.996 -10.32658 10.27157 + 2102 | 3.896455 5.339567 0.73 0.466 -6.580276 14.37319 + 2103 | 1.120986 5.265261 0.21 0.831 -9.20995 11.45192 + 2104 | 2.177266 5.489155 0.40 0.692 -8.592971 12.9475 + 2105 | -2.204408 5.449245 -0.40 0.686 -12.89634 8.487523 + 9999 | -3.03272 6.469465 -0.47 0.639 -15.72642 9.660976 + | + house_administration | -1.133289 1.528864 -0.74 0.459 -4.133063 1.866485 + house_agriculture | .4415092 1.107335 0.40 0.690 -1.731186 2.614204 + house_appropriations | -4.003263 2.368876 -1.69 0.091 -8.65122 .6446947 + house_armedservices | -1.428308 .9754181 -1.46 0.143 -3.34217 .4855538 + house_budget | -6.036477 1.951578 -3.09 0.002 -9.865657 -2.207297 + house_dc | -17.23019 7.571218 -2.28 0.023 -32.08563 -2.374748 + house_educlabor | -3.875898 .5789225 -6.70 0.000 -5.011798 -2.739997 + house_energycommerce | -1.17083 .6392758 -1.83 0.067 -2.425149 .0834897 + house_foreignaffairs | -.3691616 1.548092 -0.24 0.812 -3.406663 2.66834 + house_governmentop | .7072242 2.051772 0.34 0.730 -3.318546 4.732994 + house_intelligence | 3.317264 3.720951 0.89 0.373 -3.983591 10.61812 + house_interior | -2.158279 1.753323 -1.23 0.219 -5.598464 1.281906 + house_judiciary | 1.232617 .7881338 1.56 0.118 -.3137753 2.77901 + house_mmf | 3.472158 2.062037 1.68 0.092 -.5737513 7.518068 + house_pocs | .4469392 1.991146 0.22 0.822 -3.459876 4.353754 + house_pwt | -2.74344 1.61281 -1.70 0.089 -5.907925 .4210452 + house_rules | 1.099828 1.900058 0.58 0.563 -2.628264 4.827921 + house_sst | -2.493421 2.208901 -1.13 0.259 -6.827491 1.84065 + house_smallbusi | -5.985582 1.641303 -3.65 0.000 -9.205972 -2.765192 + house_soc | -9.119347 3.88484 -2.35 0.019 -16.74177 -1.496925 + house_veterans | -.3288236 .8962865 -0.37 0.714 -2.087422 1.429775 + house_waysandmeans | .1547107 .5589922 0.28 0.782 -.9420845 1.251506 +house_naturalresources | -2.996861 1.521548 -1.97 0.049 -5.982282 -.0114409 + house_bfs | -1.335905 .8512695 -1.57 0.117 -3.006175 .334366 + house_eeo | -3.03087 1.779281 -1.70 0.089 -6.521985 .460246 + house_govreform | 5.158689 1.239109 4.16 0.000 2.72744 7.589938 + house_ir | -.1632098 1.462881 -0.11 0.911 -3.03352 2.707101 + house_natsecur | 2.091443 2.032147 1.03 0.304 -1.89582 6.078707 + house_oversight | -1.176855 1.706534 -0.69 0.491 -4.525235 2.171524 + house_resources | 2.147181 1.414648 1.52 0.129 -.6284923 4.922854 + house_science | -.2277422 1.522803 -0.15 0.881 -3.215626 2.760141 + house_transp | -1.108179 1.024867 -1.08 0.280 -3.119065 .9027076 + house_homeland | 1.944565 2.293541 0.85 0.397 -2.555577 6.444707 + sponsor_democrat | 0 (omitted) + sponsor_rookie | -2.276293 .8745324 -2.60 0.009 -3.992207 -.5603779 + sponsor_tenure_run | .4785068 .332064 1.44 0.150 -.1730339 1.130048 + sponsor_age | -.0852788 .0367598 -2.32 0.021 -.1574049 -.0131526 + leader | -2.101604 1.860905 -1.13 0.259 -5.752874 1.549666 + ivycoll | 1.104977 .7710141 1.43 0.152 -.4078253 2.617779 + black | -1.187557 1.2293 -0.97 0.334 -3.599558 1.224444 + occ0 | -.0548613 .7851298 -0.07 0.944 -1.59536 1.485637 + occ1 | 1.903879 .7733273 2.46 0.014 .3865382 3.42122 + occ2 | .8744477 .6998099 1.25 0.212 -.4986451 2.24754 + occ3 | 1.232471 1.256914 0.98 0.327 -1.233712 3.698654 + occ4 | .0016492 .9172169 0.00 0.999 -1.798016 1.801315 + borninstate | .0369331 .554118 0.07 0.947 -1.050298 1.124165 + tot_bills | -.1317722 .0300807 -4.38 0.000 -.1907935 -.072751 + NE | -3.921609 .8449562 -4.64 0.000 -5.579492 -2.263725 + MW | -2.135 .9055284 -2.36 0.019 -3.911732 -.3582688 + WE | -1.354744 .8822127 -1.54 0.125 -3.085729 .3762396 + pct_black | -1.704908 2.785356 -0.61 0.541 -7.170038 3.760223 + pct_urban | -.3883469 1.95943 -0.20 0.843 -4.232932 3.456238 + pct_for_born | -3.918773 3.385486 -1.16 0.247 -10.56141 2.723867 + pct_age_over65 | 35.58854 7.711438 4.62 0.000 20.45797 50.7191 + lninc | .5111877 1.241659 0.41 0.681 -1.925064 2.94744 + lnpden | -.0645585 .2526305 -0.26 0.798 -.5602433 .4311262 + _cons | 10.67695 13.56329 0.79 0.431 -15.93549 37.28939 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,116 1 0 1 1 + + +j = 1 k = 3 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 11.12081 18.1168 .6138395 +---------------------------------------------- +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 o +> cc3 occ4 borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if sponsor_party==200 & tag_bill==1 & tenured==0, robust clust +> er(group_sponsor) +note: sponsor_democrat omitted because of collinearity + +Linear regression Number of obs = 11,885 + F(282, 1163) = . + Prob > F = . + R-squared = 0.1835 + Root MSE = 20.704 + + (Std. Err. adjusted for 1,164 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | .291564 1.031716 0.28 0.778 -1.732668 2.315796 + | + v2 | + 102 | -1.68943 1.748493 -0.97 0.334 -5.119985 1.741124 + 103 | -4.420883 2.178425 -2.03 0.043 -8.694964 -.146801 + 104 | -3.762325 2.113219 -1.78 0.075 -7.908473 .3838235 + 105 | -2.67247 2.054209 -1.30 0.194 -6.70284 1.3579 + 106 | -1.954475 2.016139 -0.97 0.333 -5.910151 2.001201 + 107 | -.7863975 2.120429 -0.37 0.711 -4.946693 3.373898 + 108 | -2.155292 5.6436 -0.38 0.703 -13.22807 8.917484 + 109 | -3.255524 5.623427 -0.58 0.563 -14.28872 7.777672 + 110 | -9.518666 5.728295 -1.66 0.097 -20.75761 1.720283 + 111 | -9.716547 5.720795 -1.70 0.090 -20.94078 1.507687 + | + minor | + 101 | 4.612581 6.188305 0.75 0.456 -7.528908 16.75407 + 103 | .8773399 3.29328 0.27 0.790 -5.584095 7.338774 + 104 | 13.41048 6.773515 1.98 0.048 .1208055 26.70016 + 105 | 2.69631 3.229974 0.83 0.404 -3.640918 9.033538 + 107 | 5.182031 3.142569 1.65 0.099 -.9837087 11.34777 + 108 | 20.5355 14.02623 1.46 0.143 -6.984035 48.05504 + 110 | 2.311289 3.415795 0.68 0.499 -4.390521 9.013099 + 200 | 6.196916 4.133811 1.50 0.134 -1.913645 14.30748 + 202 | 23.85206 11.92111 2.00 0.046 .4627595 47.24135 + 204 | 14.35052 16.3704 0.88 0.381 -17.7683 46.46934 + 205 | 18.91248 8.824951 2.14 0.032 1.597878 36.22709 + 206 | 7.765758 4.246095 1.83 0.068 -.5651059 16.09662 + 207 | 4.048453 3.591264 1.13 0.260 -2.997628 11.09453 + 208 | 10.86081 3.834059 2.83 0.005 3.338362 18.38325 + 209 | -5.573317 3.412433 -1.63 0.103 -12.26853 1.121897 + 299 | -1.235664 3.635101 -0.34 0.734 -8.367754 5.896426 + 300 | 15.18112 5.885562 2.58 0.010 3.633614 26.72863 + 301 | 15.98498 4.03123 3.97 0.000 8.075682 23.89428 + 302 | 14.03348 3.462125 4.05 0.000 7.24077 20.82619 + 321 | 17.92263 4.334602 4.13 0.000 9.418114 26.42714 + 322 | 24.03626 3.967345 6.06 0.000 16.2523 31.82021 + 323 | 19.54823 4.126981 4.74 0.000 11.45107 27.64539 + 324 | 7.633088 4.219335 1.81 0.071 -.6452707 15.91145 + 325 | 29.08885 4.665418 6.23 0.000 19.93528 38.24243 + 331 | 28.74215 4.871109 5.90 0.000 19.185 38.29929 + 332 | 25.14438 5.070713 4.96 0.000 15.19561 35.09315 + 333 | 38.85125 8.99598 4.32 0.000 21.20108 56.50142 + 334 | 27.18176 4.524924 6.01 0.000 18.30383 36.05969 + 335 | 17.27576 5.421859 3.19 0.001 6.63804 27.91348 + 336 | 28.37984 5.202716 5.45 0.000 18.17208 38.58759 + 341 | 23.18605 7.091206 3.27 0.001 9.273066 37.09904 + 342 | 35.45068 6.761415 5.24 0.000 22.18474 48.71661 + 343 | -.0134565 3.792105 -0.00 0.997 -7.453588 7.426675 + 344 | 55.34883 3.399451 16.28 0.000 48.67909 62.01858 + 398 | 30.42938 4.3356 7.02 0.000 21.9229 38.93585 + 399 | 17.16644 6.531219 2.63 0.009 4.352152 29.98073 + 400 | 12.45159 5.24887 2.37 0.018 2.153281 22.74991 + 401 | 11.56307 4.31593 2.68 0.007 3.095195 20.03095 + 402 | 12.32553 3.835597 3.21 0.001 4.800066 19.85099 + 403 | 7.577419 4.380853 1.73 0.084 -1.017841 16.17268 + 404 | 10.20184 5.338844 1.91 0.056 -.2729995 20.67669 + 405 | 21.21744 6.997628 3.03 0.002 7.488057 34.94683 + 498 | 15.92557 7.091916 2.25 0.025 2.01119 29.83995 + 499 | 11.06821 4.778651 2.32 0.021 1.692468 20.44395 + 500 | 3.070431 5.33883 0.58 0.565 -7.404385 13.54525 + 501 | 8.482124 4.927551 1.72 0.085 -1.185761 18.15001 + 502 | 14.15514 5.639416 2.51 0.012 3.090574 25.21971 + 503 | 10.79723 3.385193 3.19 0.001 4.155462 17.439 + 504 | 1.010456 4.567308 0.22 0.825 -7.950629 9.971541 + 505 | 5.628566 4.276065 1.32 0.188 -2.761099 14.01823 + 506 | 18.05494 6.762141 2.67 0.008 4.787576 31.3223 + 508 | 18.05553 6.127627 2.95 0.003 6.033093 30.07797 + 529 | 7.417071 6.179972 1.20 0.230 -4.70807 19.54221 + 530 | 9.887477 3.587792 2.76 0.006 2.848208 16.92675 + 599 | 5.892348 3.463601 1.70 0.089 -.903257 12.68795 + 600 | 2.227608 3.93481 0.57 0.571 -5.492512 9.947727 + 601 | 16.20072 3.601391 4.50 0.000 9.134768 23.26667 + 602 | 11.7876 3.973077 2.97 0.003 3.992402 19.5828 + 603 | 16.73322 5.809647 2.88 0.004 5.334662 28.13179 + 604 | 25.12156 8.621774 2.91 0.004 8.205587 42.03753 + 606 | 6.022667 4.892272 1.23 0.219 -3.575999 15.62133 + 607 | 12.42618 4.911681 2.53 0.012 2.789437 22.06293 + 609 | 19.28786 11.48769 1.68 0.093 -3.251044 41.82677 + 698 | 4.59625 17.10579 0.27 0.788 -28.96541 38.15791 + 699 | -.614845 6.15198 -0.10 0.920 -12.68507 11.45538 + 700 | 8.655976 4.407678 1.96 0.050 .0080856 17.30387 + 701 | 12.00358 4.769406 2.52 0.012 2.645974 21.36118 + 703 | 12.61274 4.491844 2.81 0.005 3.799711 21.42576 + 704 | 8.194606 4.091288 2.00 0.045 .1674748 16.22174 + 705 | 9.748796 3.956108 2.46 0.014 1.986889 17.5107 + 707 | 34.45838 7.286057 4.73 0.000 20.16309 48.75366 + 708 | 11.24485 10.3961 1.08 0.280 -9.152355 31.64205 + 709 | 16.67945 3.765221 4.43 0.000 9.292067 24.06684 + 710 | 18.5151 3.845771 4.81 0.000 10.96968 26.06053 + 711 | 13.99185 4.734662 2.96 0.003 4.702413 23.28128 + 798 | 15.14616 5.500699 2.75 0.006 4.353755 25.93856 + 799 | 20.1654 6.410226 3.15 0.002 7.588497 32.7423 + 800 | 10.90744 5.378719 2.03 0.043 .3543619 21.46052 + 801 | 10.36031 5.209243 1.99 0.047 .1397389 20.58087 + 802 | 8.104482 4.042671 2.00 0.045 .1727372 16.03623 + 803 | 13.16728 3.643198 3.61 0.000 6.019306 20.31526 + 805 | 11.09966 4.985317 2.23 0.026 1.318435 20.88088 + 806 | 17.22059 4.279018 4.02 0.000 8.825127 25.61605 + 807 | 15.28723 5.412269 2.82 0.005 4.668327 25.90613 + 898 | -3.899611 6.034531 -0.65 0.518 -15.7394 7.940174 + 899 | 14.24178 15.08486 0.94 0.345 -15.35481 43.83837 + 1000 | 7.42521 5.050263 1.47 0.142 -2.483436 17.33385 + 1001 | 16.90072 5.948227 2.84 0.005 5.230266 28.57118 + 1002 | 11.39704 3.852556 2.96 0.003 3.838304 18.95578 + 1003 | 14.30183 3.657353 3.91 0.000 7.126082 21.47758 + 1005 | 13.14607 5.786991 2.27 0.023 1.791962 24.50018 + 1006 | 14.95624 4.507594 3.32 0.001 6.112312 23.80016 + 1007 | 10.42406 4.082753 2.55 0.011 2.413675 18.43445 + 1010 | -5.362313 5.234901 -1.02 0.306 -15.63322 4.908593 + 1098 | -11.13063 8.946145 -1.24 0.214 -28.68302 6.421763 + 1099 | 22.28856 14.47066 1.54 0.124 -6.10295 50.68007 + 1200 | 22.9156 8.388407 2.73 0.006 6.457498 39.3737 + 1201 | 20.13376 5.006416 4.02 0.000 10.31115 29.95638 + 1202 | 13.82474 6.674842 2.07 0.039 .7286584 26.92082 + 1203 | 7.137662 3.809284 1.87 0.061 -.3361762 14.6115 + 1204 | 8.864989 3.803831 2.33 0.020 1.401849 16.32813 + 1205 | 9.267726 4.283977 2.16 0.031 .8625371 17.67291 + 1206 | 11.29282 5.86867 1.92 0.055 -.2215432 22.80719 + 1207 | 13.00318 4.233043 3.07 0.002 4.697922 21.30843 + 1208 | 19.86276 4.088975 4.86 0.000 11.84016 27.88535 + 1209 | 17.59982 3.518515 5.00 0.000 10.69647 24.50317 + 1210 | 12.92407 3.778953 3.42 0.001 5.509746 20.3384 + 1211 | 18.60246 5.461026 3.41 0.001 7.8879 29.31703 + 1299 | 8.702626 8.686447 1.00 0.317 -8.340233 25.74549 + 1300 | 3.811006 5.367306 0.71 0.478 -6.719681 14.34169 + 1301 | 12.74925 7.964683 1.60 0.110 -2.877506 28.376 + 1302 | 9.425561 4.959048 1.90 0.058 -.3041205 19.15524 + 1303 | 10.70776 3.447998 3.11 0.002 3.942769 17.47275 + 1304 | 26.09554 5.068609 5.15 0.000 16.1509 36.04018 + 1305 | 10.90106 6.088564 1.79 0.074 -1.044741 22.84686 + 1399 | 9.623489 13.27827 0.72 0.469 -16.42855 35.67553 + 1400 | 9.64704 4.387957 2.20 0.028 1.037842 18.25624 + 1401 | 17.83284 5.019193 3.55 0.000 7.985158 27.68053 + 1403 | 37.60141 8.487465 4.43 0.000 20.94895 54.25386 + 1404 | 14.1369 10.35961 1.36 0.173 -6.188708 34.46251 + 1405 | 13.99047 5.153919 2.71 0.007 3.878446 24.10249 + 1406 | 12.70722 5.175403 2.46 0.014 2.553053 22.8614 + 1407 | 28.55149 6.329418 4.51 0.000 16.13314 40.96985 + 1408 | 4.251282 6.792323 0.63 0.532 -9.075295 17.57786 + 1409 | 23.4112 7.932915 2.95 0.003 7.846775 38.97563 + 1410 | 20.51092 5.601934 3.66 0.000 9.51989 31.50194 + 1499 | 7.92794 9.001072 0.88 0.379 -9.732215 25.5881 + 1500 | 9.63666 5.73525 1.68 0.093 -1.615934 20.88925 + 1501 | 16.99273 3.750746 4.53 0.000 9.633745 24.35171 + 1502 | 8.879075 3.718297 2.39 0.017 1.583754 16.1744 + 1504 | 17.03559 4.481623 3.80 0.000 8.242622 25.82856 + 1505 | 23.83636 5.881474 4.05 0.000 12.29688 35.37585 + 1507 | 15.61165 4.950779 3.15 0.002 5.898193 25.32511 + 1520 | 3.81214 5.631583 0.68 0.499 -7.237059 14.86134 + 1521 | 9.127043 3.743171 2.44 0.015 1.78292 16.47117 + 1522 | 17.99309 4.489834 4.01 0.000 9.184012 26.80217 + 1523 | 13.72433 3.691171 3.72 0.000 6.482229 20.96643 + 1524 | 21.14925 12.50874 1.69 0.091 -3.392961 45.69147 + 1525 | 16.77224 4.63377 3.62 0.000 7.680752 25.86372 + 1526 | 23.54623 6.151212 3.83 0.000 11.47751 35.61494 + 1599 | 11.99717 4.357453 2.75 0.006 3.447823 20.54652 + 1600 | 8.300542 6.251 1.33 0.184 -3.963957 20.56504 + 1602 | -1.219449 4.790373 -0.25 0.799 -10.61819 8.179292 + 1603 | 1.340966 6.615293 0.20 0.839 -11.63828 14.32021 + 1604 | 10.27036 5.76724 1.78 0.075 -1.044994 21.58572 + 1605 | 4.503725 6.391161 0.70 0.481 -8.035771 17.04322 + 1606 | -7.669664 4.073714 -1.88 0.060 -15.66231 .3229874 + 1608 | 16.00145 3.501705 4.57 0.000 9.131087 22.87182 + 1609 | 16.54648 3.81351 4.34 0.000 9.064348 24.02861 + 1610 | 16.30958 7.517662 2.17 0.030 1.559879 31.05927 + 1611 | 7.060461 4.571757 1.54 0.123 -1.909353 16.03027 + 1612 | 20.11847 4.791732 4.20 0.000 10.71707 29.51988 + 1614 | 9.99264 8.641439 1.16 0.248 -6.961914 26.94719 + 1615 | 10.84095 4.138307 2.62 0.009 2.721564 18.96033 + 1616 | 7.549156 4.985964 1.51 0.130 -2.233335 17.33165 + 1617 | 16.84765 6.741856 2.50 0.013 3.620089 30.07521 + 1619 | 14.98014 7.475202 2.00 0.045 .313748 29.64653 + 1620 | 50.56704 8.572618 5.90 0.000 33.74751 67.38656 + 1698 | 7.709063 9.820271 0.79 0.433 -11.55837 26.97649 + 1699 | 18.35306 4.741439 3.87 0.000 9.050328 27.65579 + 1700 | 15.79514 5.898533 2.68 0.008 4.222187 27.3681 + 1701 | 17.02141 7.507839 2.27 0.024 2.290988 31.75184 + 1704 | 19.18014 7.591794 2.53 0.012 4.284998 34.07529 + 1705 | -.8956123 11.46046 -0.08 0.938 -23.3811 21.58987 + 1706 | 13.48989 4.580374 2.95 0.003 4.503171 22.47661 + 1707 | 15.03139 4.928624 3.05 0.002 5.361401 24.70138 + 1708 | 22.84271 7.979146 2.86 0.004 7.187575 38.49784 + 1709 | 15.90625 4.555313 3.49 0.000 6.968697 24.8438 + 1798 | 12.37768 7.962107 1.55 0.120 -3.244022 27.99938 + 1799 | -6.191707 5.399072 -1.15 0.252 -16.78472 4.401304 + 1800 | 10.86059 5.001638 2.17 0.030 1.047347 20.67383 + 1802 | 18.7494 4.253672 4.41 0.000 10.40367 27.09513 + 1803 | 20.85624 6.805744 3.06 0.002 7.503326 34.20915 + 1804 | 20.17475 11.00038 1.83 0.067 -1.408058 41.75757 + 1806 | 15.47956 6.688535 2.31 0.021 2.35662 28.60251 + 1807 | -1.004936 3.14009 -0.32 0.749 -7.165811 5.155938 + 1808 | -4.494719 3.368445 -1.33 0.182 -11.10363 2.114191 + 1899 | 9.701968 10.89351 0.89 0.373 -11.67115 31.07509 + 1900 | 20.74534 8.23919 2.52 0.012 4.579998 36.91067 + 1901 | 18.5237 5.617384 3.30 0.001 7.502359 29.54504 + 1902 | 17.66471 7.177341 2.46 0.014 3.582723 31.74669 + 1905 | -8.960053 4.740502 -1.89 0.059 -18.26095 .3408397 + 1906 | 5.671417 5.083668 1.12 0.265 -4.302769 15.6456 + 1907 | 22.00984 9.115691 2.41 0.016 4.124803 39.89488 + 1908 | 32.7498 14.2605 2.30 0.022 4.770608 60.72898 + 1909 | 2.860658 4.394351 0.65 0.515 -5.761085 11.4824 + 1910 | 30.58373 16.21201 1.89 0.059 -1.224329 62.3918 + 1911 | 31.64516 18.84873 1.68 0.093 -5.336153 68.62647 + 1914 | 38.80316 11.01162 3.52 0.000 17.19829 60.40803 + 1919 | 19.47485 7.676415 2.54 0.011 4.413676 34.53602 + 1920 | 21.72477 6.384143 3.40 0.001 9.199047 34.2505 + 1925 | 20.78546 9.738889 2.13 0.033 1.677701 39.89322 + 1926 | 1.488737 4.891476 0.30 0.761 -8.108368 11.08584 + 1927 | 10.90194 5.299991 2.06 0.040 .5033252 21.30055 + 1929 | 12.92797 5.18168 2.49 0.013 2.761482 23.09445 + 1999 | 15.58788 15.5723 1.00 0.317 -14.96506 46.14082 + 2000 | 4.25332 3.537349 1.20 0.229 -2.68698 11.19362 + 2001 | 9.433109 3.886419 2.43 0.015 1.807932 17.05828 + 2002 | 6.780487 3.481078 1.95 0.052 -.0494092 13.61038 + 2003 | 12.45081 4.727258 2.63 0.009 3.175897 21.72571 + 2004 | 16.08498 3.726862 4.32 0.000 8.772857 23.3971 + 2005 | 8.460114 7.73889 1.09 0.275 -6.723634 23.64386 + 2006 | 28.36903 4.031109 7.04 0.000 20.45997 36.27809 + 2007 | 2.6965 3.987193 0.68 0.499 -5.126396 10.5194 + 2008 | 22.90621 3.42056 6.70 0.000 16.19505 29.61737 + 2009 | 7.326593 4.343806 1.69 0.092 -1.195979 15.84917 + 2011 | 8.853655 3.578907 2.47 0.014 1.831819 15.87549 + 2012 | 8.836599 3.503905 2.52 0.012 1.961916 15.71128 + 2013 | 2.39348 6.006818 0.40 0.690 -9.391933 14.17889 + 2014 | 6.755097 4.69341 1.44 0.150 -2.453401 15.9636 + 2015 | 20.61922 7.990337 2.58 0.010 4.942133 36.29631 + 2030 | 2.92008 5.861051 0.50 0.618 -8.579336 14.4195 + 2099 | 24.49996 9.921959 2.47 0.014 5.033017 43.9669 + 2100 | 1.769723 3.803839 0.47 0.642 -5.693432 9.232878 + 2101 | 18.11633 3.486464 5.20 0.000 11.27587 24.95679 + 2102 | 20.00925 3.986043 5.02 0.000 12.18861 27.82989 + 2103 | 9.587053 3.46397 2.77 0.006 2.790723 16.38338 + 2104 | 11.4245 3.597559 3.18 0.002 4.366071 18.48294 + 2105 | 6.562384 9.609748 0.68 0.495 -12.292 25.41677 + 2199 | 20.53375 10.59818 1.94 0.053 -.2599368 41.32744 + 9999 | 9.213851 5.381152 1.71 0.087 -1.344 19.7717 + | + house_administration | -6.603365 1.437767 -4.59 0.000 -9.424273 -3.782457 + house_agriculture | 5.864868 1.434452 4.09 0.000 3.050466 8.67927 + house_appropriations | -3.750276 1.929834 -1.94 0.052 -7.536621 .0360686 + house_armedservices | 1.452033 1.349287 1.08 0.282 -1.195275 4.099341 + house_budget | 2.357994 1.688625 1.40 0.163 -.9550981 5.671086 + house_dc | 1.702931 12.28215 0.14 0.890 -22.39471 25.80057 + house_educlabor | -.0668222 1.197125 -0.06 0.955 -2.415588 2.281943 + house_energycommerce | 2.122101 .9003133 2.36 0.019 .3556814 3.888521 + house_foreignaffairs | 2.587937 3.293252 0.79 0.432 -3.873442 9.049315 + house_governmentop | -3.244566 1.459197 -2.22 0.026 -6.107518 -.3816131 + house_intelligence | 19.93735 6.704382 2.97 0.003 6.783315 33.09139 + house_interior | -2.007185 2.541598 -0.79 0.430 -6.993815 2.979444 + house_judiciary | -2.13561 .8027172 -2.66 0.008 -3.710546 -.5606746 + house_mmf | 1.813224 3.040954 0.60 0.551 -4.153146 7.779593 + house_pocs | 5.22702 2.663154 1.96 0.050 .001897 10.45214 + house_pwt | 1.583458 2.395235 0.66 0.509 -3.116007 6.282924 + house_rules | -3.613886 1.323706 -2.73 0.006 -6.211006 -1.016767 + house_sst | 8.19868 5.063702 1.62 0.106 -1.736333 18.13369 + house_smallbusi | 7.244127 4.559021 1.59 0.112 -1.700699 16.18895 + house_soc | 3.157674 9.594708 0.33 0.742 -15.6672 21.98255 + house_veterans | 5.095946 1.778421 2.87 0.004 1.606673 8.585219 + house_waysandmeans | -2.774465 .7358881 -3.77 0.000 -4.218282 -1.330648 +house_naturalresources | .0428037 1.970277 0.02 0.983 -3.822891 3.908498 + house_bfs | -1.364515 1.405404 -0.97 0.332 -4.121927 1.392896 + house_eeo | -3.383174 2.647244 -1.28 0.202 -8.577083 1.810734 + house_govreform | .688143 1.153661 0.60 0.551 -1.575346 2.951632 + house_ir | -2.965116 2.480033 -1.20 0.232 -7.830956 1.900724 + house_natsecur | -.7511919 2.710526 -0.28 0.782 -6.069261 4.566877 + house_oversight | -.1038129 1.515503 -0.07 0.945 -3.077238 2.869612 + house_resources | -6.699396 1.263873 -5.30 0.000 -9.179122 -4.21967 + house_science | 2.211071 2.637464 0.84 0.402 -2.963649 7.385792 + house_transp | -1.15578 1.1258 -1.03 0.305 -3.364605 1.053046 + house_homeland | .547005 2.798048 0.20 0.845 -4.942782 6.036792 + sponsor_democrat | 0 (omitted) + sponsor_rookie | -.3221615 .9912384 -0.33 0.745 -2.266977 1.622654 + sponsor_tenure_run | 1.708489 .4117312 4.15 0.000 .9006703 2.516308 + sponsor_age | -.0448545 .0346413 -1.29 0.196 -.112821 .023112 + leader | 2.256212 2.522524 0.89 0.371 -2.692995 7.205419 + ivycoll | -.464583 1.208495 -0.38 0.701 -2.835658 1.906492 + black | -4.242299 2.866366 -1.48 0.139 -9.866126 1.381529 + occ0 | 2.927816 1.069778 2.74 0.006 .8289046 5.026728 + occ1 | 2.844067 1.485062 1.92 0.056 -.0696329 5.757768 + occ2 | .9349603 .8938093 1.05 0.296 -.8186989 2.688619 + occ3 | 1.536178 1.377135 1.12 0.265 -1.165768 4.238124 + occ4 | .6331526 .861726 0.73 0.463 -1.057559 2.323864 + borninstate | -.7375069 .6220281 -1.19 0.236 -1.95793 .4829159 + tot_bills | -.022686 .0249917 -0.91 0.364 -.0717198 .0263477 + NE | 3.018007 1.063022 2.84 0.005 .9323518 5.103662 + MW | 1.230947 .9143606 1.35 0.178 -.563034 3.024928 + WE | -1.422267 1.058249 -1.34 0.179 -3.498557 .6540232 + pct_black | .4796246 4.174946 0.11 0.909 -7.711643 8.670892 + pct_urban | 3.722095 2.219307 1.68 0.094 -.6321973 8.076388 + pct_for_born | 11.2947 6.476086 1.74 0.081 -1.411421 24.00082 + pct_age_over65 | 12.91052 9.213136 1.40 0.161 -5.165705 30.98675 + lninc | 1.518952 2.240114 0.68 0.498 -2.876165 5.914069 + lnpden | -.0488966 .3547047 -0.14 0.890 -.7448293 .6470362 + _cons | -13.62793 22.16676 -0.61 0.539 -57.11925 29.86339 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,164 1 0 1 1 + + +j = 2 k = 1 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11989 +----------------------+---------------------- NN matches = 3 + Number of obs | 6150 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 15.71586 27.17455 .5783301 +---------------------------------------------- +reg pct_cosponsors_opposite sponsor_female i.v2 MV1_female femaleXMV1_female if tag_bill==1 & sample==1 & abs(MV1_female)<=15.71585796583268 & tenured==0, robust cl +> uster(group_sponsor) + +Linear regression Number of obs = 1,923 + F(13, 177) = 2.05 + Prob > F = 0.0193 + R-squared = 0.0220 + Root MSE = 19.948 + + (Std. Err. adjusted for 178 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust +pct_cosponsors_~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -3.29908 1.96318 -1.68 0.095 -7.173332 .5751728 + | + v2 | + 102 | 3.111736 3.365364 0.92 0.356 -3.529667 9.753139 + 103 | -3.790122 2.137875 -1.77 0.078 -8.009126 .4288829 + 104 | -1.63338 2.521612 -0.65 0.518 -6.609673 3.342914 + 105 | -3.038956 2.216202 -1.37 0.172 -7.412536 1.334624 + 106 | .3012165 2.762683 0.11 0.913 -5.15082 5.753253 + 107 | -.2617439 2.243006 -0.12 0.907 -4.688219 4.164731 + 108 | -1.128959 4.778784 -0.24 0.814 -10.55968 8.301766 + 109 | -2.619828 3.964957 -0.66 0.510 -10.4445 5.204844 + 110 | -1.727759 2.580124 -0.67 0.504 -6.819524 3.364006 + 111 | -.4366073 3.168121 -0.14 0.891 -6.688759 5.815545 + | + MV1_female | -.3376485 .2044052 -1.65 0.100 -.7410334 .0657364 +femaleXMV1_female | .6119981 .2569549 2.38 0.018 .1049086 1.119088 + _cons | 14.19628 2.369599 5.99 0.000 9.51998 18.87259 +----------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 178 1 0 1 1 + + +j = 2 k = 2 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6186 +----------------------+---------------------- NN matches = 3 + Number of obs | 2192 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 24.47749 44.63704 .5483673 +---------------------------------------------- +reg pct_cosponsors_opposite sponsor_female i.v2 MV1_female femaleXMV1_female if sponsor_party==100 & tag_bill==1 & sample==1 & abs(MV1_female)<=24.47749468504319 & +> tenured==0, robust cluster(group_sponsor) + +Linear regression Number of obs = 1,421 + F(13, 129) = 1.52 + Prob > F = 0.1188 + R-squared = 0.0163 + Root MSE = 17.332 + + (Std. Err. adjusted for 130 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust +pct_cosponsors_~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -3.706505 2.48829 -1.49 0.139 -8.629649 1.216638 + | + v2 | + 102 | 2.250922 2.033589 1.11 0.270 -1.772583 6.274427 + 103 | -.5574671 1.564935 -0.36 0.722 -3.653729 2.538794 + 104 | .6165605 2.062355 0.30 0.765 -3.463859 4.69698 + 105 | .7831871 2.077023 0.38 0.707 -3.326254 4.892628 + 106 | .1252112 1.873275 0.07 0.947 -3.581109 3.831531 + 107 | .2172403 1.385278 0.16 0.876 -2.523565 2.958046 + 108 | -1.44856 1.952803 -0.74 0.460 -5.312228 2.415107 + 109 | -8.479151 2.365573 -3.58 0.000 -13.1595 -3.798807 + 110 | -.189814 1.99068 -0.10 0.924 -4.128423 3.748795 + 111 | 2.672169 2.349638 1.14 0.258 -1.976647 7.320985 + | + MV1_female | .1009729 .128858 0.78 0.435 -.1539759 .3559216 +femaleXMV1_female | .0738844 .1633908 0.45 0.652 -.2493884 .3971571 + _cons | 12.94515 2.045596 6.33 0.000 8.897892 16.99242 +----------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 130 1 0 1 1 + + +j = 2 k = 3 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 11.12081 18.1168 .6138395 +---------------------------------------------- +reg pct_cosponsors_opposite sponsor_female i.v2 MV1_female femaleXMV1_female if sponsor_party==200 & tag_bill==1 & sample==1 & abs(MV1_female)<=11.12080711935322 & +> tenured==0, robust cluster(group_sponsor) + +Linear regression Number of obs = 725 + F(12, 67) = . + Prob > F = . + R-squared = 0.0592 + Root MSE = 20.806 + + (Std. Err. adjusted for 68 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust +pct_cosponsors_~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | -2.654979 3.630393 -0.73 0.467 -9.901274 4.591316 + | + v2 | + 102 | 5.374212 6.669167 0.81 0.423 -7.937502 18.68593 + 103 | -6.059834 2.963166 -2.05 0.045 -11.97434 -.14533 + 104 | -4.593101 2.450855 -1.87 0.065 -9.485027 .2988251 + 105 | -3.956864 2.182357 -1.81 0.074 -8.312866 .3991385 + 106 | 1.824881 2.185226 0.84 0.407 -2.536849 6.18661 + 107 | 1.212818 2.295662 0.53 0.599 -3.369342 5.794978 + 108 | 12.45756 7.209444 1.73 0.089 -1.93255 26.84767 + 109 | -3.915677 2.632886 -1.49 0.142 -9.170939 1.339586 + 110 | -2.229714 3.454725 -0.65 0.521 -9.125374 4.665946 + 111 | -5.45082 9.819847 -0.56 0.581 -25.05132 14.14968 + | + MV1_female | -.9347658 .3881129 -2.41 0.019 -1.709442 -.1600892 +femaleXMV1_female | 1.55338 .6896081 2.25 0.028 .1769162 2.929843 + _cons | 12.72333 2.236367 5.69 0.000 8.259521 17.18714 +----------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 68 1 0 1 1 + + +j = 3 k = 1 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11989 +----------------------+---------------------- NN matches = 3 + Number of obs | 6150 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 15.71586 27.17455 .5783301 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(56,929 missing values generated) +(59,765 missing values generated) +(2,836 real changes made) +reg pct_cosponsors_opposite sponsor_female i.v2 MV1_female femaleXMV1_female i.minor house_* [aw=wt] if tag_bill==1 & sample==1 & tenured==0 & abs(MV1_female)<=15.7 +> 1585796583268, robust cluster(group_sponsor) +(sum of wgt is 3,936.6092684269) +note: house_dc omitted because of collinearity + +Linear regression Number of obs = 1,923 + F(176, 177) = . + Prob > F = . + R-squared = 0.1987 + Root MSE = 19.134 + + (Std. Err. adjusted for 178 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -1.928068 2.142858 -0.90 0.369 -6.156906 2.30077 + | + v2 | + 102 | -3.746891 4.643685 -0.81 0.421 -12.911 5.417222 + 103 | -5.804545 3.594775 -1.61 0.108 -12.89868 1.289589 + 104 | -3.143825 4.008862 -0.78 0.434 -11.05514 4.767491 + 105 | -3.753591 3.739548 -1.00 0.317 -11.13343 3.626247 + 106 | -.6965264 3.822901 -0.18 0.856 -8.240857 6.847804 + 107 | -.6603129 3.609924 -0.18 0.855 -7.784343 6.463717 + 108 | -3.261788 5.67964 -0.57 0.566 -14.47031 7.946739 + 109 | -3.156156 4.381933 -0.72 0.472 -11.80371 5.491401 + 110 | -2.189161 3.611956 -0.61 0.545 -9.317202 4.938879 + 111 | -2.962882 4.502837 -0.66 0.511 -11.84904 5.923274 + | + MV1_female | -.401615 .1817161 -2.21 0.028 -.760224 -.043006 + femaleXMV1_female | .4712209 .2480044 1.90 0.059 -.0182052 .9606469 + | + minor | + 101 | -4.414961 8.354653 -0.53 0.598 -20.90251 12.07259 + 104 | -11.89097 8.514093 -1.40 0.164 -28.69317 4.911229 + 105 | 4.423183 7.754347 0.57 0.569 -10.87969 19.72605 + 107 | 3.699285 7.467018 0.50 0.621 -11.03655 18.43512 + 108 | -2.189313 8.267882 -0.26 0.791 -18.50562 14.127 + 200 | -2.969554 8.269493 -0.36 0.720 -19.28904 13.34994 + 202 | 46.60017 7.851154 5.94 0.000 31.10626 62.09409 + 205 | -12.89531 8.330554 -1.55 0.123 -29.3353 3.544686 + 206 | -2.93643 9.903016 -0.30 0.767 -22.47961 16.60675 + 207 | .4864715 8.095895 0.06 0.952 -15.49043 16.46337 + 208 | -.6458477 7.71872 -0.08 0.933 -15.87841 14.58671 + 209 | -4.414961 8.354653 -0.53 0.598 -20.90251 12.07259 + 300 | 19.63298 13.16895 1.49 0.138 -6.355379 45.62134 + 301 | 20.80597 10.34597 2.01 0.046 .3886316 41.2233 + 302 | 12.50789 8.714767 1.44 0.153 -4.69033 29.70611 + 321 | .4631699 9.160241 0.05 0.960 -17.61417 18.54051 + 322 | 10.78524 9.523667 1.13 0.259 -8.009309 29.57979 + 323 | 18.94979 12.31612 1.54 0.126 -5.35555 43.25513 + 324 | -.3716187 10.08771 -0.04 0.971 -20.27929 19.53605 + 325 | 13.36034 10.45883 1.28 0.203 -7.279713 34.0004 + 331 | 10.84725 9.000208 1.21 0.230 -6.914279 28.60877 + 332 | 8.812924 10.57113 0.83 0.406 -12.04874 29.67459 + 333 | 24.47246 13.23217 1.85 0.066 -1.640656 50.58557 + 334 | 12.1724 12.02724 1.01 0.313 -11.56285 35.90765 + 335 | 1.487155 9.397042 0.16 0.874 -17.05751 20.03182 + 336 | 14.35468 9.60798 1.49 0.137 -4.606257 33.31562 + 341 | 3.55763 13.15252 0.27 0.787 -22.39831 29.51357 + 342 | 12.51095 10.44481 1.20 0.233 -8.101447 33.12334 + 343 | 3.13921 9.686276 0.32 0.746 -15.97624 22.25466 + 344 | -8.576055 8.334963 -1.03 0.305 -25.02475 7.872637 + 398 | 9.539059 9.372101 1.02 0.310 -8.956382 28.0345 + 399 | -6.075211 9.218398 -0.66 0.511 -24.26733 12.1169 + 400 | .1628251 12.86366 0.01 0.990 -25.22305 25.5487 + 401 | 18.93319 12.15974 1.56 0.121 -5.063538 42.92992 + 402 | -1.459434 11.02413 -0.13 0.895 -23.21509 20.29622 + 403 | 7.107357 11.7075 0.61 0.545 -15.99689 30.21161 + 404 | 24.03121 10.11815 2.38 0.019 4.063473 43.99895 + 405 | 14.57408 16.2594 0.90 0.371 -17.51315 46.6613 + 498 | -3.286363 9.030729 -0.36 0.716 -21.10812 14.53539 + 499 | 13.49542 11.68183 1.16 0.250 -9.558162 36.54901 + 501 | -9.031114 8.682219 -1.04 0.300 -26.1651 8.102874 + 502 | 12.88524 11.61855 1.11 0.269 -10.04348 35.81395 + 503 | 12.03906 8.822777 1.36 0.174 -5.372314 29.45043 + 504 | -12.61616 8.305267 -1.52 0.131 -29.00625 3.773925 + 505 | -3.858427 8.761244 -0.44 0.660 -21.14837 13.43151 + 506 | -4.311944 8.129302 -0.53 0.596 -20.35477 11.73089 + 508 | 2.843518 8.459443 0.34 0.737 -13.85083 19.53787 + 530 | 11.88919 8.757514 1.36 0.176 -5.39339 29.17177 + 600 | -8.022238 8.006656 -1.00 0.318 -23.82303 7.778555 + 601 | 13.94417 10.38836 1.34 0.181 -6.556815 34.44515 + 602 | -2.217301 7.881366 -0.28 0.779 -17.77084 13.33624 + 603 | .919374 9.963716 0.09 0.927 -18.74359 20.58234 + 604 | -8.824885 8.065032 -1.09 0.275 -24.74088 7.091111 + 606 | 10.11054 11.79684 0.86 0.393 -13.17002 33.3911 + 607 | 2.118761 8.855974 0.24 0.811 -15.35812 19.59565 + 609 | -5.431247 8.555228 -0.63 0.526 -22.31462 11.45213 + 698 | -7.396191 7.656407 -0.97 0.335 -22.50578 7.713399 + 699 | -.5208776 7.94316 -0.07 0.948 -16.19636 15.15461 + 700 | -11.14282 9.427778 -1.18 0.239 -29.74813 7.462501 + 701 | -10.22087 8.435462 -1.21 0.227 -26.8679 6.42615 + 703 | 13.80965 10.25343 1.35 0.180 -6.425063 34.04436 + 704 | -.5861594 9.819338 -0.06 0.952 -19.9642 18.79188 + 705 | 8.38124 10.72634 0.78 0.436 -12.78673 29.54921 + 707 | 19.5222 16.18351 1.21 0.229 -12.41527 51.45968 + 709 | 8.738673 8.525808 1.02 0.307 -8.086645 25.56399 + 710 | 19.49565 10.06674 1.94 0.054 -.3706355 39.36193 + 711 | -.1530483 17.91018 -0.01 0.993 -35.49801 35.19192 + 798 | -1.756547 8.811111 -0.20 0.842 -19.1449 15.6318 + 799 | -6.4181 12.13022 -0.53 0.597 -30.35657 17.52037 + 800 | 3.813417 10.80105 0.35 0.724 -17.50199 25.12883 + 801 | 13.25911 10.99154 1.21 0.229 -8.432232 34.95045 + 802 | -4.938225 9.164853 -0.54 0.591 -23.02467 13.14822 + 803 | 11.19088 9.612754 1.16 0.246 -7.779482 30.16123 + 805 | -6.274526 8.007613 -0.78 0.434 -22.07721 9.528154 + 806 | 7.579019 7.182507 1.06 0.293 -6.595351 21.75339 + 807 | -1.356083 7.915659 -0.17 0.864 -16.9773 14.26513 + 898 | -1.404388 10.6229 -0.13 0.895 -22.36822 19.55944 + 899 | 4.919199 12.11794 0.41 0.685 -18.99504 28.83344 + 1000 | 44.00914 9.128722 4.82 0.000 25.994 62.02428 + 1001 | 6.08899 11.67061 0.52 0.603 -16.94246 29.12044 + 1002 | 10.10594 12.89575 0.78 0.434 -15.34327 35.55514 + 1003 | 12.57837 8.912837 1.41 0.160 -5.010732 30.16747 + 1005 | 33.64679 8.800257 3.82 0.000 16.27986 51.01372 + 1006 | 10.73869 10.266 1.05 0.297 -9.520827 30.9982 + 1007 | 4.553682 9.428186 0.48 0.630 -14.05244 23.1598 + 1010 | -7.461003 8.819328 -0.85 0.399 -24.86557 9.943564 + 1200 | -2.239919 9.873362 -0.23 0.821 -21.72458 17.24474 + 1201 | 38.15039 13.65312 2.79 0.006 11.20654 65.09425 + 1202 | -5.212511 7.725955 -0.67 0.501 -20.45935 10.03433 + 1203 | 3.853793 11.06839 0.35 0.728 -17.9892 25.69679 + 1204 | 13.00678 10.42936 1.25 0.214 -7.575129 33.58868 + 1205 | 17.73567 11.47675 1.55 0.124 -4.913193 40.38454 + 1206 | 2.718371 10.35998 0.26 0.793 -17.72661 23.16335 + 1207 | 24.4808 7.541768 3.25 0.001 9.59744 39.36415 + 1208 | 5.245224 8.899062 0.59 0.556 -12.31669 22.80714 + 1209 | 8.100813 8.97991 0.90 0.368 -9.620654 25.82228 + 1210 | 10.06922 10.7258 0.94 0.349 -11.09769 31.23613 + 1211 | 6.201953 11.88791 0.52 0.603 -17.25833 29.66223 + 1299 | 41.50551 8.723093 4.76 0.000 24.29086 58.72016 + 1300 | -4.878309 10.85896 -0.45 0.654 -26.308 16.55139 + 1301 | -4.275295 8.716109 -0.49 0.624 -21.47616 12.92557 + 1302 | -9.958975 8.317168 -1.20 0.233 -26.37255 6.454599 + 1303 | 8.110897 8.526796 0.95 0.343 -8.71637 24.93816 + 1304 | 20.65706 8.67763 2.38 0.018 3.532124 37.78199 + 1305 | -9.104669 8.399754 -1.08 0.280 -25.68122 7.471885 + 1399 | -3.794351 7.686623 -0.49 0.622 -18.96357 11.37487 + 1400 | 20.5293 12.52439 1.64 0.103 -4.187048 45.24564 + 1401 | -3.709242 10.8334 -0.34 0.732 -25.0885 17.67001 + 1403 | .7737059 7.963748 0.10 0.923 -14.94241 16.48982 + 1405 | 20.33639 17.52697 1.16 0.247 -14.25233 54.92511 + 1406 | 11.49918 13.44318 0.86 0.393 -15.03037 38.02872 + 1407 | 11.59303 11.96503 0.97 0.334 -12.01944 35.2055 + 1408 | 24.41007 7.963748 3.07 0.003 8.693954 40.12619 + 1409 | .1032136 12.14125 0.01 0.993 -23.85702 24.06344 + 1410 | 24.54299 13.11331 1.87 0.063 -1.335558 50.42154 + 1499 | -2.457317 8.190807 -0.30 0.765 -18.62152 13.70689 + 1500 | 19.42356 8.091839 2.40 0.017 3.454666 35.39246 + 1501 | 14.33333 8.540902 1.68 0.095 -2.521778 31.18843 + 1502 | 1.146398 8.635814 0.13 0.895 -15.89601 18.18881 + 1504 | 6.977519 11.41671 0.61 0.542 -15.55287 29.50791 + 1505 | 49.70796 7.875657 6.31 0.000 34.16569 65.25024 + 1507 | -.8039923 8.892279 -0.09 0.928 -18.35253 16.74454 + 1520 | -7.875544 8.241046 -0.96 0.341 -24.1389 8.387807 + 1521 | 2.350046 8.272885 0.28 0.777 -13.97614 18.67623 + 1522 | 24.22866 8.399754 2.88 0.004 7.652109 40.80522 + 1523 | 7.094175 9.308933 0.76 0.447 -11.27661 25.46496 + 1525 | 1.072895 8.192621 0.13 0.896 -15.09489 17.24068 + 1526 | 4.560625 12.62178 0.36 0.718 -20.34791 29.46916 + 1599 | 20.64942 13.00173 1.59 0.114 -5.008947 46.30778 + 1600 | -4.713063 9.616965 -0.49 0.625 -23.69173 14.26561 + 1603 | -30.78174 17.17102 -1.79 0.075 -64.66801 3.104529 + 1604 | -1.633506 11.22726 -0.15 0.884 -23.79002 20.52301 + 1605 | -3.755908 9.758009 -0.38 0.701 -23.01292 15.5011 + 1606 | 2.571353 10.41395 0.25 0.805 -17.98014 23.12284 + 1608 | 7.151614 9.164825 0.78 0.436 -10.93478 25.238 + 1609 | 12.18667 8.976549 1.36 0.176 -5.528164 29.90151 + 1610 | -1.790604 11.07719 -0.16 0.872 -23.65097 20.06976 + 1611 | -7.02797 11.14004 -0.63 0.529 -29.01236 14.95642 + 1612 | .3666775 12.09906 0.03 0.976 -23.51029 24.24365 + 1615 | 8.350335 10.64028 0.78 0.434 -12.64779 29.34846 + 1616 | 13.32805 9.737147 1.37 0.173 -5.887795 32.54389 + 1617 | 23.09123 10.02175 2.30 0.022 3.313726 42.86873 + 1619 | 1.144283 13.22219 0.09 0.931 -24.94914 27.23771 + 1620 | 16.21364 8.566673 1.89 0.060 -.6923253 33.1196 + 1698 | 3.138434 10.1646 0.31 0.758 -16.92097 23.19784 + 1699 | 1.399981 9.854868 0.14 0.887 -18.04818 20.84814 + 1700 | 6.743147 8.480649 0.80 0.428 -9.993052 23.47935 + 1701 | 9.872788 18.83895 0.52 0.601 -27.30507 47.05064 + 1704 | .7513311 10.2184 0.07 0.941 -19.41425 20.91691 + 1706 | 6.144487 10.1145 0.61 0.544 -13.81604 26.10502 + 1707 | 17.19834 13.11399 1.31 0.191 -8.681552 43.07823 + 1708 | -11.97969 11.35724 -1.05 0.293 -34.39272 10.43335 + 1709 | 10.30621 10.46304 0.99 0.326 -10.34215 30.95456 + 1798 | 13.76115 18.12825 0.76 0.449 -22.01416 49.53647 + 1799 | -17.53338 9.785644 -1.79 0.075 -36.84493 1.778169 + 1800 | 3.221531 10.11166 0.32 0.750 -16.7334 23.17646 + 1802 | 20.16408 10.11085 1.99 0.048 .2107399 40.11741 + 1803 | -5.063848 11.57353 -0.44 0.662 -27.90371 17.77601 + 1804 | .1548643 8.023681 0.02 0.985 -15.67953 15.98926 + 1806 | 26.3115 17.39476 1.51 0.132 -8.016309 60.63931 + 1807 | -1.436579 8.132408 -0.18 0.860 -17.48554 14.61238 + 1900 | -11.99279 9.892865 -1.21 0.227 -31.51593 7.530359 + 1901 | 21.80226 17.66307 1.23 0.219 -13.05504 56.65957 + 1902 | 13.44183 9.554912 1.41 0.161 -5.414378 32.29804 + 1906 | 48.31691 9.224535 5.24 0.000 30.11269 66.52114 + 1907 | 15.08112 13.30013 1.13 0.258 -11.16613 41.32836 + 1920 | 10.07833 12.53983 0.80 0.423 -14.66849 34.82515 + 1925 | 3.30806 20.98134 0.16 0.875 -38.09771 44.71383 + 1926 | 10.13803 16.06693 0.63 0.529 -21.56937 41.84544 + 1927 | 11.09307 13.98493 0.79 0.429 -16.50558 38.69173 + 1929 | 16.73197 10.06967 1.66 0.098 -3.140095 36.60404 + 2000 | 9.794192 10.86239 0.90 0.368 -11.64227 31.23065 + 2001 | 28.89491 17.60721 1.64 0.103 -5.85216 63.64198 + 2002 | -.5984024 8.031564 -0.07 0.941 -16.44835 15.25154 + 2003 | 18.5833 9.899326 1.88 0.062 -.9525964 38.1192 + 2004 | 4.348577 8.789841 0.49 0.621 -12.9978 21.69495 + 2005 | -13.95339 10.05414 -1.39 0.167 -33.7948 5.888017 + 2006 | 20.65115 12.70504 1.63 0.106 -4.421692 45.724 + 2007 | -5.737827 8.176994 -0.70 0.484 -21.87477 10.39912 + 2008 | 15.85785 9.346045 1.70 0.092 -2.58617 34.30187 + 2009 | 7.400696 8.136371 0.91 0.364 -8.656083 23.45747 + 2011 | 11.53679 9.733261 1.19 0.237 -7.671384 30.74496 + 2012 | 2.776132 8.177312 0.34 0.735 -13.36144 18.91371 + 2013 | 1.369297 10.64749 0.13 0.898 -19.64306 22.38166 + 2014 | 30.02686 10.94453 2.74 0.007 8.428289 51.62542 + 2030 | 9.456948 9.349742 1.01 0.313 -8.994367 27.90826 + 2099 | 52.21223 9.44241 5.53 0.000 33.57804 70.84642 + 2100 | -1.820881 10.50906 -0.17 0.863 -22.56007 18.9183 + 2101 | 4.99147 8.862135 0.56 0.574 -12.49757 22.48051 + 2102 | 4.864641 10.68595 0.46 0.649 -16.22363 25.95291 + 2103 | .1495675 9.548736 0.02 0.988 -18.69445 18.99359 + 2104 | 7.466167 10.68473 0.70 0.486 -13.61969 28.55202 + 2105 | -.4091106 20.47825 -0.02 0.984 -40.82205 40.00383 + 9999 | 9.594224 14.915 0.64 0.521 -19.83989 39.02834 + | + house_administration | -4.665419 3.243571 -1.44 0.152 -11.06647 1.73563 + house_agriculture | 7.594652 3.460287 2.19 0.029 .7659244 14.42338 + house_appropriations | -7.137839 5.453586 -1.31 0.192 -17.90026 3.624579 + house_armedservices | .5701828 3.062347 0.19 0.853 -5.473227 6.613593 + house_budget | -3.258792 5.633632 -0.58 0.564 -14.37652 7.858939 + house_dc | 0 (omitted) + house_educlabor | .6453385 2.324211 0.28 0.782 -3.941392 5.232069 + house_energycommerce | .6885326 2.090644 0.33 0.742 -3.437264 4.814329 + house_foreignaffairs | 6.961663 5.311926 1.31 0.192 -3.521196 17.44452 + house_governmentop | -5.427645 5.227714 -1.04 0.301 -15.74431 4.889025 + house_intelligence | 28.6641 13.36378 2.14 0.033 2.291249 55.03694 + house_interior | 5.353559 7.590592 0.71 0.482 -9.626149 20.33327 + house_judiciary | -2.899567 1.991046 -1.46 0.147 -6.828811 1.029677 + house_mmf | -3.552189 3.716897 -0.96 0.341 -10.88733 3.782949 + house_pocs | -3.697741 4.072018 -0.91 0.365 -11.73369 4.338213 + house_pwt | 8.253349 5.903047 1.40 0.164 -3.396061 19.90276 + house_rules | -5.558723 3.54971 -1.57 0.119 -12.56392 1.446477 + house_sst | 5.973188 10.89398 0.55 0.584 -15.52561 27.47199 + house_smallbusi | -.3026603 6.087586 -0.05 0.960 -12.31625 11.71093 + house_soc | -4.047082 7.570069 -0.53 0.594 -18.98629 10.89213 + house_veterans | -1.082624 3.036053 -0.36 0.722 -7.074144 4.908896 + house_waysandmeans | -2.866157 1.63208 -1.76 0.081 -6.086997 .354683 +house_naturalresources | 7.755008 3.730862 2.08 0.039 .3923119 15.1177 + house_bfs | -2.853051 2.722992 -1.05 0.296 -8.226759 2.520658 + house_eeo | 5.979949 4.893878 1.22 0.223 -3.677909 15.63781 + house_govreform | .1072709 2.887561 0.04 0.970 -5.591207 5.805749 + house_ir | -1.208737 3.80065 -0.32 0.751 -8.709157 6.291684 + house_natsecur | 4.063525 4.599628 0.88 0.378 -5.013645 13.14069 + house_oversight | 1.913568 3.600724 0.53 0.596 -5.192308 9.019443 + house_resources | -1.772084 3.430361 -0.52 0.606 -8.541755 4.997588 + house_science | 2.308245 4.562894 0.51 0.614 -6.696432 11.31292 + house_transp | -2.199827 2.734356 -0.80 0.422 -7.595961 3.196308 + house_homeland | -4.771077 6.30642 -0.76 0.450 -17.21653 7.674373 + _cons | 9.656657 8.380185 1.15 0.251 -6.881279 26.19459 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 178 1 0 1 1 + + +j = 3 k = 2 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6186 +----------------------+---------------------- NN matches = 3 + Number of obs | 2192 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 24.47749 44.63704 .5483673 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(59,706 missing values generated) +(60,627 missing values generated) +(921 real changes made) +reg pct_cosponsors_opposite sponsor_female i.v2 MV1_female femaleXMV1_female i.minor house_* [aw=wt] if sponsor_party==100 & tag_bill==1 & sample==1 & tenured==0 & +> abs(MV1_female)<=24.47749468504319, robust cluster(group_sponsor) +(sum of wgt is 2,795.74628591537) +note: house_dc omitted because of collinearity + +Linear regression Number of obs = 1,421 + F(128, 129) = . + Prob > F = . + R-squared = 0.2333 + Root MSE = 16.506 + + (Std. Err. adjusted for 130 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -3.250599 2.387139 -1.36 0.176 -7.973612 1.472414 + | + v2 | + 102 | 2.479661 1.791985 1.38 0.169 -1.065824 6.025147 + 103 | -.3019916 1.97467 -0.15 0.879 -4.208925 3.604942 + 104 | 1.08273 3.106807 0.35 0.728 -5.064163 7.229623 + 105 | -.5006897 2.57198 -0.19 0.846 -5.589414 4.588035 + 106 | -2.255871 2.338396 -0.96 0.336 -6.882445 2.370703 + 107 | .9870027 2.15943 0.46 0.648 -3.285482 5.259488 + 108 | -4.890313 1.905165 -2.57 0.011 -8.659729 -1.120896 + 109 | -6.399825 2.433548 -2.63 0.010 -11.21466 -1.584991 + 110 | .114524 1.925973 0.06 0.953 -3.696061 3.925109 + 111 | 2.941187 2.932731 1.00 0.318 -2.861293 8.743666 + | + MV1_female | .1656249 .1343324 1.23 0.220 -.1001551 .4314049 + femaleXMV1_female | -.0859787 .1926771 -0.45 0.656 -.4671951 .2952377 + | + minor | + 105 | 4.157198 7.317914 0.57 0.571 -10.32147 18.63587 + 107 | 9.109642 5.368787 1.70 0.092 -1.512634 19.73192 + 108 | -3.663063 4.029106 -0.91 0.365 -11.63475 4.308622 + 200 | -1.827607 6.401463 -0.29 0.776 -14.49306 10.83784 + 202 | 34.44947 16.38767 2.10 0.037 2.026068 66.87286 + 207 | 3.404079 4.131344 0.82 0.411 -4.769885 11.57804 + 208 | 3.978928 4.7675 0.83 0.405 -5.453687 13.41154 + 300 | 19.1623 10.77515 1.78 0.078 -2.156604 40.4812 + 301 | 17.40525 5.543206 3.14 0.002 6.437877 28.37261 + 302 | 9.29429 5.178848 1.79 0.075 -.9521879 19.54077 + 321 | 10.68337 5.795183 1.84 0.068 -.7825379 22.14928 + 322 | 9.629757 8.600423 1.12 0.265 -7.386391 26.6459 + 323 | 29.09753 11.12421 2.62 0.010 7.088006 51.10706 + 324 | 10.81778 5.233675 2.07 0.041 .4628296 21.17274 + 325 | 21.1452 8.5496 2.47 0.015 4.229603 38.06079 + 331 | 14.75063 6.009768 2.45 0.015 2.860154 26.6411 + 332 | 5.534741 4.677853 1.18 0.239 -3.720507 14.78999 + 333 | 11.70525 8.991078 1.30 0.195 -6.083816 29.49432 + 334 | 22.15239 8.802325 2.52 0.013 4.736771 39.568 + 335 | 10.04253 6.542757 1.53 0.127 -2.902476 22.98753 + 336 | 12.20859 6.123337 1.99 0.048 .093414 24.32376 + 341 | 8.059346 5.94009 1.36 0.177 -3.693267 19.81196 + 342 | 24.78938 12.10928 2.05 0.043 .8308655 48.74789 + 343 | 19.24454 10.10842 1.90 0.059 -.7552257 39.2443 + 344 | -2.689586 4.071207 -0.66 0.510 -10.74457 5.365396 + 398 | 9.165567 5.200519 1.76 0.080 -1.123787 19.45492 + 399 | 7.65911 5.10954 1.50 0.136 -2.45024 17.76846 + 400 | -7.590611 5.647259 -1.34 0.181 -18.76385 3.58263 + 401 | 30.51878 9.236283 3.30 0.001 12.24456 48.79299 + 402 | -1.535024 6.217086 -0.25 0.805 -13.83568 10.76563 + 403 | 7.108389 10.95351 0.65 0.518 -14.5634 28.78017 + 404 | 27.49445 6.055775 4.54 0.000 15.51296 39.47595 + 405 | 11.77788 11.50332 1.02 0.308 -10.98171 34.53748 + 498 | 5.115457 6.169522 0.83 0.409 -7.091093 17.32201 + 501 | -1.523388 4.204729 -0.36 0.718 -9.842548 6.795771 + 502 | 12.25403 5.225372 2.35 0.021 1.9155 22.59255 + 503 | 9.543734 5.774823 1.65 0.101 -1.881896 20.96936 + 505 | -4.37138 4.663764 -0.94 0.350 -13.59875 4.855991 + 506 | 1.398541 4.46186 0.31 0.754 -7.429359 10.22644 + 508 | 2.613237 3.909917 0.67 0.505 -5.122629 10.3491 + 530 | 21.18401 5.449108 3.89 0.000 10.40282 31.9652 + 600 | -3.876173 3.662129 -1.06 0.292 -11.12179 3.369439 + 601 | 10.89668 5.385153 2.02 0.045 .2420215 21.55134 + 602 | .4368985 3.805591 0.11 0.909 -7.092556 7.966353 + 603 | 3.094178 6.271338 0.49 0.623 -9.313819 15.50217 + 604 | -2.007974 3.795848 -0.53 0.598 -9.518152 5.502205 + 606 | 6.619477 8.208335 0.81 0.421 -9.620915 22.85987 + 607 | .1295158 3.887988 0.03 0.973 -7.562963 7.821995 + 609 | 2.591954 4.187577 0.62 0.537 -5.693269 10.87718 + 698 | -4.950766 5.731136 -0.86 0.389 -16.28996 6.388427 + 699 | 6.30209 4.9647 1.27 0.207 -3.52069 16.12487 + 700 | 15.2862 8.294506 1.84 0.068 -1.124686 31.69708 + 701 | 30.05087 9.143293 3.29 0.001 11.96064 48.1411 + 703 | 3.549586 6.835893 0.52 0.604 -9.975396 17.07457 + 704 | 10.53619 6.3093 1.67 0.097 -1.946914 23.01929 + 705 | .0006181 5.660275 0.00 1.000 -11.19838 11.19961 + 707 | 21.66294 11.63262 1.86 0.065 -1.352478 44.67837 + 709 | 10.34801 5.91253 1.75 0.082 -1.350081 22.04609 + 710 | 12.18775 7.488377 1.63 0.106 -2.628186 27.00369 + 711 | 1.527434 4.68817 0.33 0.745 -7.748224 10.80309 + 798 | -3.539834 6.178443 -0.57 0.568 -15.76403 8.684367 + 799 | 16.76637 7.389017 2.27 0.025 2.147017 31.38572 + 800 | -1.924174 4.781347 -0.40 0.688 -11.38419 7.535838 + 801 | 20.38438 5.768875 3.53 0.001 8.970518 31.79824 + 802 | 4.956227 5.153129 0.96 0.338 -5.239364 15.15182 + 803 | 9.292764 4.425013 2.10 0.038 .5377671 18.04776 + 806 | 6.868146 5.356533 1.28 0.202 -3.729887 17.46618 + 807 | 8.402147 7.53779 1.11 0.267 -6.511555 23.31585 + 898 | 6.562618 14.8163 0.44 0.659 -22.75179 35.87702 + 899 | 27.76854 7.761363 3.58 0.000 12.4125 43.12459 + 1000 | 40.77376 4.578752 8.90 0.000 31.71458 49.83293 + 1001 | 18.01205 10.50413 1.71 0.089 -2.770618 38.79473 + 1002 | 19.01871 14.28714 1.33 0.185 -9.248746 47.28616 + 1003 | 13.55404 9.217674 1.47 0.144 -4.683353 31.79143 + 1005 | 5.78708 10.5273 0.55 0.583 -15.04145 26.61561 + 1006 | 7.266435 6.35042 1.14 0.255 -5.298027 19.8309 + 1007 | 3.614843 6.029366 0.60 0.550 -8.314404 15.54409 + 1010 | -5.799851 5.333855 -1.09 0.279 -16.35301 4.753312 + 1200 | 4.419913 5.062387 0.87 0.384 -5.596144 14.43597 + 1201 | 13.76423 10.03477 1.37 0.173 -6.089812 33.61827 + 1202 | -5.006059 3.474491 -1.44 0.152 -11.88042 1.868307 + 1203 | 8.41255 5.882336 1.43 0.155 -3.225796 20.0509 + 1204 | 13.20719 10.45482 1.26 0.209 -7.477923 33.89231 + 1205 | 22.72732 12.36996 1.84 0.068 -1.746947 47.20159 + 1206 | 1.822531 4.989275 0.37 0.715 -8.048872 11.69393 + 1207 | 35.01918 7.203868 4.86 0.000 20.76615 49.27221 + 1208 | 6.606093 5.144634 1.28 0.201 -3.572692 16.78488 + 1209 | 8.333313 5.510218 1.51 0.133 -2.568787 19.23541 + 1210 | 7.698249 8.769013 0.88 0.382 -9.651457 25.04796 + 1211 | 3.248098 7.635582 0.43 0.671 -11.85909 18.35528 + 1299 | -2.21281 3.465718 -0.64 0.524 -9.069819 4.644198 + 1300 | 2.91761 4.23806 0.69 0.492 -5.467494 11.30272 + 1301 | 4.625576 5.108536 0.91 0.367 -5.481787 14.73294 + 1302 | -5.586048 3.531927 -1.58 0.116 -12.57405 1.401955 + 1303 | 7.087025 4.994899 1.42 0.158 -2.795505 16.96956 + 1304 | 15.77858 7.493566 2.11 0.037 .9523714 30.60478 + 1305 | 27.78154 3.788943 7.33 0.000 20.28502 35.27805 + 1399 | -7.171849 4.023533 -1.78 0.077 -15.13251 .7888092 + 1400 | 5.166284 7.342637 0.70 0.483 -9.361302 19.69387 + 1401 | -.4226248 8.469611 -0.05 0.960 -17.17996 16.33471 + 1403 | 9.525659 5.785286 1.65 0.102 -1.92067 20.97199 + 1405 | 3.313675 4.677083 0.71 0.480 -5.940049 12.5674 + 1406 | 15.18305 9.497016 1.60 0.112 -3.607031 33.97313 + 1407 | 11.31398 5.092608 2.22 0.028 1.238127 21.38982 + 1408 | 25.13273 4.942781 5.08 0.000 15.35331 34.91214 + 1409 | 1.886324 5.233102 0.36 0.719 -8.467497 12.24014 + 1410 | 23.6998 9.084772 2.61 0.010 5.72536 41.67425 + 1500 | -5.536331 3.61782 -1.53 0.128 -12.69428 1.621615 + 1501 | 12.28437 5.366267 2.29 0.024 1.66708 22.90166 + 1502 | 12.83691 5.485219 2.34 0.021 1.984265 23.68954 + 1504 | 14.30482 11.2684 1.27 0.207 -7.989984 36.59963 + 1505 | 27.24591 4.738408 5.75 0.000 17.87085 36.62096 + 1507 | -.7600011 4.908726 -0.15 0.877 -10.47203 8.952033 + 1520 | -4.468853 3.581061 -1.25 0.214 -11.55407 2.616364 + 1521 | 3.884285 5.198111 0.75 0.456 -6.400306 14.16888 + 1522 | 7.981901 6.263779 1.27 0.205 -4.411139 20.37494 + 1523 | 14.80277 5.689175 2.60 0.010 3.546601 26.05895 + 1525 | 7.762317 5.221747 1.49 0.140 -2.569037 18.09367 + 1526 | 40.90249 9.58235 4.27 0.000 21.94358 59.86141 + 1599 | 28.69709 15.59846 1.84 0.068 -2.164852 59.55903 + 1600 | 4.541622 9.347031 0.49 0.628 -13.95171 23.03495 + 1602 | 8.660602 6.078812 1.42 0.157 -3.366477 20.68768 + 1603 | 11.43836 9.217567 1.24 0.217 -6.798825 29.67554 + 1604 | -5.858168 4.509834 -1.30 0.196 -14.78099 3.064649 + 1605 | -.5009781 4.818421 -0.10 0.917 -10.03434 9.032386 + 1606 | 4.854751 6.311899 0.77 0.443 -7.633496 17.343 + 1608 | 3.387485 4.35543 0.78 0.438 -5.22984 12.00481 + 1609 | 10.3682 4.576753 2.27 0.025 1.312984 19.42342 + 1610 | .3120003 6.671091 0.05 0.963 -12.88692 13.51092 + 1611 | -6.885541 4.509684 -1.53 0.129 -15.80806 2.036978 + 1612 | 7.081164 7.66375 0.92 0.357 -8.081752 22.24408 + 1615 | 27.09295 10.60294 2.56 0.012 6.114764 48.07113 + 1616 | 2.292227 5.208432 0.44 0.661 -8.012783 12.59724 + 1619 | -3.207507 6.422248 -0.50 0.618 -15.91408 9.499067 + 1620 | 26.43995 4.511131 5.86 0.000 17.51457 35.36534 + 1698 | .5338309 4.505754 0.12 0.906 -8.380914 9.448576 + 1699 | -1.605145 6.683067 -0.24 0.811 -14.82776 11.61747 + 1701 | 23.30088 11.44398 2.04 0.044 .658672 45.94308 + 1706 | 1.224405 4.917985 0.25 0.804 -8.505948 10.95476 + 1707 | 20.84141 14.84546 1.40 0.163 -8.530705 50.21352 + 1709 | 13.45221 7.101074 1.89 0.060 -.597438 27.50186 + 1798 | -10.59341 7.185177 -1.47 0.143 -24.80946 3.622637 + 1800 | -.4373773 7.582486 -0.06 0.954 -15.43951 14.56476 + 1802 | 16.66241 7.59753 2.19 0.030 1.630509 31.69431 + 1803 | 10.02373 7.755869 1.29 0.199 -5.321449 25.3689 + 1804 | -3.526242 3.116424 -1.13 0.260 -9.692164 2.63968 + 1806 | 2.56174 3.663751 0.70 0.486 -4.687082 9.810562 + 1807 | 3.242129 3.85842 0.84 0.402 -4.39185 10.87611 + 1902 | 3.96291 4.535347 0.87 0.384 -5.010385 12.9362 + 1905 | 22.40749 5.312898 4.22 0.000 11.89579 32.91919 + 1906 | 21.77008 17.96976 1.21 0.228 -13.78352 57.32368 + 1908 | 12.35751 16.05332 0.77 0.443 -19.40439 44.1194 + 1909 | 23.68918 10.01113 2.37 0.019 3.881906 43.49646 + 1920 | 16.26101 9.067993 1.79 0.075 -1.680235 34.20226 + 1926 | 34.79007 7.96896 4.37 0.000 19.02329 50.55686 + 1927 | 20.15014 19.40697 1.04 0.301 -18.24703 58.5473 + 1999 | 48.91989 4.717237 10.37 0.000 39.58673 58.25306 + 2000 | -5.547799 4.20811 -1.32 0.190 -13.87365 2.77805 + 2001 | 10.2164 7.461567 1.37 0.173 -4.546494 24.97929 + 2002 | 22.9602 8.485073 2.71 0.008 6.172277 39.74813 + 2003 | 20.39332 7.742459 2.63 0.009 5.074678 35.71197 + 2004 | 11.52893 5.668231 2.03 0.044 .3141995 22.74367 + 2006 | 16.09321 12.31789 1.31 0.194 -8.278035 40.46445 + 2007 | -4.700151 5.190185 -0.91 0.367 -14.96906 5.568757 + 2008 | 24.91678 5.81849 4.28 0.000 13.40476 36.42881 + 2011 | 5.367233 5.731652 0.94 0.351 -5.972981 16.70745 + 2012 | 10.26133 6.099898 1.68 0.095 -1.807464 22.33013 + 2013 | 5.747126 6.954538 0.83 0.410 -8.012598 19.50685 + 2014 | 28.34317 6.866036 4.13 0.000 14.75855 41.92779 + 2030 | 9.47919 6.01045 1.58 0.117 -2.412632 21.37101 + 2099 | 51.83417 7.724602 6.71 0.000 36.55086 67.11749 + 2100 | 6.713503 6.880563 0.98 0.331 -6.899859 20.32686 + 2101 | 17.07284 4.178454 4.09 0.000 8.805669 25.34001 + 2102 | 13.26334 6.487419 2.04 0.043 .4278256 26.09886 + 2103 | 7.532854 4.469844 1.69 0.094 -1.310843 16.37655 + 2104 | 17.71682 7.844404 2.26 0.026 2.19648 33.23717 + 9999 | -8.300043 4.106052 -2.02 0.045 -16.42397 -.1761183 + | + house_administration | -2.759713 5.934588 -0.47 0.643 -14.50144 8.982015 + house_agriculture | 8.299339 2.887982 2.87 0.005 2.585397 14.01328 + house_appropriations | 6.339626 5.99196 1.06 0.292 -5.515614 18.19487 + house_armedservices | 1.919849 3.068432 0.63 0.533 -4.151118 7.990817 + house_budget | -10.55917 4.420557 -2.39 0.018 -19.30535 -1.812991 + house_dc | 0 (omitted) + house_educlabor | -.2983831 1.579635 -0.19 0.850 -3.42373 2.826964 + house_energycommerce | -4.852274 2.661722 -1.82 0.071 -10.11856 .4140078 + house_foreignaffairs | -1.701177 8.843753 -0.19 0.848 -19.19876 15.79641 + house_governmentop | 7.089153 5.561279 1.27 0.205 -3.913973 18.09228 + house_intelligence | -4.762123 7.233857 -0.66 0.512 -19.07449 9.550241 + house_interior | -14.50067 3.744634 -3.87 0.000 -21.90952 -7.09182 + house_judiciary | -3.056003 3.058982 -1.00 0.320 -9.108273 2.996268 + house_mmf | 3.771166 5.46829 0.69 0.492 -7.047979 14.59031 + house_pocs | -4.299018 6.170809 -0.70 0.487 -16.50811 7.910079 + house_pwt | -3.83164 5.420839 -0.71 0.481 -14.5569 6.893623 + house_rules | .0399069 5.481974 0.01 0.994 -10.80631 10.88613 + house_sst | -13.92995 7.219608 -1.93 0.056 -28.21412 .3542228 + house_smallbusi | -1.591875 4.389402 -0.36 0.717 -10.27641 7.092664 + house_soc | 1.954776 5.653652 0.35 0.730 -9.231113 13.14066 + house_veterans | -.7807127 2.701527 -0.29 0.773 -6.12575 4.564325 + house_waysandmeans | .1707415 1.820811 0.09 0.925 -3.431778 3.773261 +house_naturalresources | -8.916405 2.543662 -3.51 0.001 -13.9491 -3.883708 + house_bfs | -4.128758 3.347364 -1.23 0.220 -10.7516 2.494083 + house_eeo | -11.67697 3.134949 -3.72 0.000 -17.87955 -5.474399 + house_govreform | 3.964833 3.95932 1.00 0.319 -3.868779 11.79845 + house_ir | -3.015686 3.767581 -0.80 0.425 -10.46994 4.438566 + house_natsecur | 7.838676 4.233853 1.85 0.066 -.5381061 16.21546 + house_oversight | -10.34856 4.894099 -2.11 0.036 -20.03166 -.6654699 + house_resources | -5.623225 3.27307 -1.72 0.088 -12.09907 .852623 + house_science | 3.923511 5.181249 0.76 0.450 -6.327717 14.17474 + house_transp | 2.541221 3.542286 0.72 0.474 -4.467279 9.549722 + house_homeland | -17.12346 12.56647 -1.36 0.175 -41.98652 7.739605 + _cons | 6.007285 4.1338 1.45 0.149 -2.17154 14.18611 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 130 1 0 1 1 + + +j = 3 k = 3 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 11.12081 18.1168 .6138395 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(59,708 missing values generated) +(61,558 missing values generated) +(1,850 real changes made) +reg pct_cosponsors_opposite sponsor_female i.v2 MV1_female femaleXMV1_female i.minor house_* [aw=wt] if sponsor_party==200 & tag_bill==1 & sample==1 & tenured==0 & +> abs(MV1_female)<=11.12080711935322, robust cluster(group_sponsor) +(sum of wgt is 1,188.13658583164) +note: house_dc omitted because of collinearity +note: house_soc omitted because of collinearity + +Linear regression Number of obs = 703 + F(65, 66) = . + Prob > F = . + R-squared = 0.4215 + Root MSE = 18.004 + + (Std. Err. adjusted for 67 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -1.637392 3.330839 -0.49 0.625 -8.287628 5.012843 + | + v2 | + 103 | .1522776 8.73851 0.02 0.986 -17.29472 17.59928 + 104 | -9.030313 8.946708 -1.01 0.316 -26.89299 8.832365 + 105 | -3.303439 8.533411 -0.39 0.700 -20.34094 13.73407 + 106 | -1.493433 8.506982 -0.18 0.861 -18.47817 15.4913 + 107 | .8850465 8.344004 0.11 0.916 -15.7743 17.54439 + 108 | 10.23706 11.05483 0.93 0.358 -11.83462 32.30875 + 109 | -2.386819 8.746262 -0.27 0.786 -19.84929 15.07566 + 110 | -5.468007 8.640603 -0.63 0.529 -22.71953 11.78351 + 111 | -.6371298 11.40783 -0.06 0.956 -23.4136 22.13934 + | + MV1_female | -.8835356 .3070885 -2.88 0.005 -1.496658 -.2704135 + femaleXMV1_female | 1.289407 .559127 2.31 0.024 .1730737 2.40574 + | + minor | + 101 | 9.951621 7.003989 1.42 0.160 -4.032294 23.93554 + 105 | -4.349524 16.02685 -0.27 0.787 -36.34817 27.64912 + 107 | 12.29285 6.609683 1.86 0.067 -.9038069 25.48951 + 200 | 14.67667 9.76506 1.50 0.138 -4.8199 34.17324 + 206 | 18.19317 8.52192 2.13 0.036 1.178606 35.20773 + 207 | 7.946537 7.250461 1.10 0.277 -6.529475 22.42255 + 208 | 3.45354 9.393283 0.37 0.714 -15.30075 22.20783 + 209 | 9.951621 7.003989 1.42 0.160 -4.032294 23.93554 + 300 | 9.608294 14.47442 0.66 0.509 -19.29082 38.50741 + 301 | 27.05424 13.61242 1.99 0.051 -.1238257 54.23231 + 302 | 29.7642 5.139878 5.79 0.000 19.50211 40.0263 + 321 | 2.865509 13.49003 0.21 0.832 -24.06821 29.79922 + 322 | 32.25621 13.69741 2.35 0.022 4.908447 59.60398 + 323 | 26.99688 16.61434 1.62 0.109 -6.174722 60.16847 + 324 | -8.564512 13.15084 -0.65 0.517 -34.82102 17.692 + 325 | 28.40338 9.361956 3.03 0.003 9.711636 47.09513 + 331 | -.5358862 15.02585 -0.04 0.972 -30.53597 29.4642 + 332 | 66.28235 7.894619 8.40 0.000 50.52023 82.04446 + 333 | 52.9234 8.593089 6.16 0.000 35.76674 70.08005 + 334 | 24.41433 10.884 2.24 0.028 2.683718 46.14495 + 335 | 2.173695 8.388027 0.26 0.796 -14.57354 18.92093 + 336 | 57.40228 7.561157 7.59 0.000 42.30594 72.49861 + 341 | 21.43768 23.1997 0.92 0.359 -24.88201 67.75737 + 343 | 12.48112 7.886995 1.58 0.118 -3.265778 28.22801 + 398 | 28.11242 18.67536 1.51 0.137 -9.174136 65.39898 + 400 | 14.45564 11.46096 1.26 0.212 -8.426904 37.33819 + 401 | 23.70221 11.45997 2.07 0.043 .8216301 46.58279 + 402 | 14.05339 10.43856 1.35 0.183 -6.787878 34.89466 + 403 | 17.07574 14.62733 1.17 0.247 -12.12865 46.28014 + 499 | 9.833333 10.41969 0.94 0.349 -10.97025 30.63691 + 503 | 27.04471 6.948493 3.89 0.000 13.17159 40.91782 + 505 | 5.496728 10.6524 0.52 0.608 -15.77147 26.76493 + 508 | 45.3155 10.56373 4.29 0.000 24.22433 66.40667 + 530 | 18.77684 8.949074 2.10 0.040 .9094401 36.64425 + 600 | .888268 10.90871 0.08 0.935 -20.89168 22.66822 + 601 | 17.22661 9.07509 1.90 0.062 -.8923953 35.34561 + 602 | 5.669527 11.44497 0.50 0.622 -17.18109 28.52014 + 603 | 14.02875 15.97689 0.88 0.383 -17.87014 45.92764 + 604 | -2.138317 10.57527 -0.20 0.840 -23.25252 18.97589 + 606 | 13.72131 14.61051 0.94 0.351 -15.4495 42.89213 + 607 | 27.48454 12.34022 2.23 0.029 2.846496 52.12259 + 609 | 16.94123 7.293203 2.32 0.023 2.379883 31.50258 + 699 | -5.502364 10.43068 -0.53 0.600 -26.32788 15.32316 + 700 | 6.231636 8.398305 0.74 0.461 -10.53612 22.99939 + 701 | -13.16578 10.31101 -1.28 0.206 -33.75238 7.420806 + 703 | 35.47707 7.549919 4.70 0.000 20.40317 50.55097 + 704 | 4.405367 9.172912 0.48 0.633 -13.90894 22.71968 + 705 | 18.2382 8.988902 2.03 0.046 .2912752 36.18512 + 707 | 16.94123 7.293203 2.32 0.023 2.379883 31.50258 + 709 | 14.71637 11.39523 1.29 0.201 -8.034935 37.46768 + 710 | 34.49286 11.49565 3.00 0.004 11.54105 57.44466 + 711 | 20.07539 9.670614 2.08 0.042 .7673902 39.3834 + 800 | 27.38682 10.60652 2.58 0.012 6.210219 48.56341 + 801 | 15.57247 22.47444 0.69 0.491 -29.29918 60.44413 + 802 | 2.815478 10.22247 0.28 0.784 -17.59435 23.2253 + 803 | 24.63357 10.81942 2.28 0.026 3.031899 46.23523 + 805 | -12.95923 20.1663 -0.64 0.523 -53.22255 27.30409 + 806 | -5.283574 12.13445 -0.44 0.665 -29.51078 18.94363 + 807 | 14.98276 6.35902 2.36 0.021 2.286565 27.67895 + 1001 | 12.03296 7.113339 1.69 0.095 -2.169279 26.2352 + 1002 | 13.80683 8.762508 1.58 0.120 -3.688079 31.30175 + 1003 | 26.07487 10.0355 2.60 0.012 6.038353 46.11138 + 1005 | 55.67495 7.403607 7.52 0.000 40.89317 70.45673 + 1006 | 29.71106 11.4618 2.59 0.012 6.826834 52.59528 + 1007 | 27.77895 8.675352 3.20 0.002 10.45805 45.09985 + 1010 | 10.19817 8.206864 1.24 0.218 -6.187366 26.5837 + 1202 | 10.55975 10.14532 1.04 0.302 -9.696028 30.81553 + 1203 | 17.256 14.1741 1.22 0.228 -11.04349 45.5555 + 1204 | 31.76037 11.00971 2.88 0.005 9.778777 53.74195 + 1205 | 28.70107 11.0082 2.61 0.011 6.722497 50.67964 + 1206 | 27.36213 20.45206 1.34 0.186 -13.47174 68.19599 + 1207 | 22.59994 9.965675 2.27 0.027 2.70283 42.49705 + 1208 | 51.65139 21.00842 2.46 0.017 9.706729 93.59606 + 1209 | 27.0821 10.46757 2.59 0.012 6.182913 47.98128 + 1210 | 16.53786 7.856994 2.10 0.039 .8508615 32.22485 + 1211 | 11.87969 7.083813 1.68 0.098 -2.2636 26.02298 + 1300 | -18.68328 10.80623 -1.73 0.088 -40.25861 2.89206 + 1303 | 18.82633 9.129021 2.06 0.043 .5996554 37.05301 + 1399 | 2.884843 10.24591 0.28 0.779 -17.57178 23.34147 + 1400 | 25.8666 10.12237 2.56 0.013 5.656629 46.07657 + 1401 | .9863757 7.054858 0.14 0.889 -13.0991 15.07186 + 1406 | 2.323262 5.955294 0.39 0.698 -9.566866 14.21339 + 1407 | 55.98027 13.87359 4.04 0.000 28.28074 83.67979 + 1409 | 20.58607 20.10642 1.02 0.310 -19.55769 60.72983 + 1410 | 11.91963 6.928971 1.72 0.090 -1.914508 25.75377 + 1499 | -3.99674 4.263698 -0.94 0.352 -12.50949 4.516008 + 1500 | 21.73678 7.907528 2.75 0.008 5.948889 37.52467 + 1501 | 28.02574 9.770543 2.87 0.006 8.518225 47.53326 + 1502 | -1.498267 7.579615 -0.20 0.844 -16.63146 13.63492 + 1504 | 31.6082 11.98936 2.64 0.010 7.670659 55.54573 + 1507 | 17.91315 7.500317 2.39 0.020 2.938283 32.88802 + 1520 | 5.571875 7.168344 0.78 0.440 -8.740187 19.88394 + 1521 | -14.93747 14.56172 -1.03 0.309 -44.01089 14.13595 + 1523 | 6.153832 7.556517 0.81 0.418 -8.933241 21.2409 + 1525 | 10.81405 8.725276 1.24 0.220 -6.606528 28.23462 + 1599 | 28.98504 14.69026 1.97 0.053 -.3450119 58.3151 + 1604 | 3.532003 12.68388 0.28 0.782 -21.79218 28.85619 + 1608 | 17.10099 8.4003 2.04 0.046 .3292511 33.87273 + 1609 | 27.83715 7.842287 3.55 0.001 12.17952 43.49478 + 1610 | -.8494582 9.940721 -0.09 0.932 -20.69675 18.99783 + 1611 | 3.883724 9.451883 0.41 0.682 -14.98757 22.75502 + 1615 | 12.66614 17.45854 0.73 0.471 -22.19097 47.52325 + 1616 | 33.3573 9.266316 3.60 0.001 14.8565 51.85809 + 1617 | 31.44122 8.593089 3.66 0.001 14.28456 48.59787 + 1619 | -19.83934 19.92413 -1.00 0.323 -59.61915 19.94046 + 1699 | 20.6679 9.19294 2.25 0.028 2.313602 39.02219 + 1701 | 26.72944 23.21987 1.15 0.254 -19.63052 73.08939 + 1704 | 20.88116 18.06158 1.16 0.252 -15.17995 56.94226 + 1706 | 13.87122 12.14242 1.14 0.257 -10.3719 38.11433 + 1707 | -.4996479 10.14191 -0.05 0.961 -20.74862 19.74933 + 1709 | 38.76832 8.752205 4.43 0.000 21.29398 56.24266 + 1798 | 40.977 25.48929 1.61 0.113 -9.914004 91.86801 + 1800 | 19.36376 17.03623 1.14 0.260 -14.65016 53.37769 + 1802 | 25.12445 25.55555 0.98 0.329 -25.89886 76.14776 + 1803 | 1.945 7.371894 0.26 0.793 -12.77346 16.66346 + 1806 | 36.23167 15.76197 2.30 0.025 4.761872 67.70147 + 1807 | 15.76664 7.981469 1.98 0.052 -.1688738 31.70216 + 1900 | -11.47252 17.78521 -0.65 0.521 -46.98183 24.03679 + 1901 | 30.01639 11.78368 2.55 0.013 6.489519 53.54325 + 1902 | 35.08375 11.2745 3.11 0.003 12.57349 57.59401 + 1906 | 50.15663 18.96608 2.64 0.010 12.28964 88.02363 + 1907 | 30.51378 18.96608 1.61 0.112 -7.353215 68.38077 + 1925 | 40.39092 26.79377 1.51 0.136 -13.10456 93.88641 + 1926 | -4.159524 15.66878 -0.27 0.791 -35.44325 27.1242 + 1927 | 32.32523 15.21196 2.12 0.037 1.953574 62.69689 + 1929 | 21.98851 11.2745 1.95 0.055 -.521749 44.49877 + 2000 | 13.73237 11.93769 1.15 0.254 -10.10199 37.56674 + 2001 | 38.24908 7.575803 5.05 0.000 23.1235 53.37466 + 2002 | 18.03768 7.78678 2.32 0.024 2.490867 33.58448 + 2003 | 28.41558 14.21035 2.00 0.050 .0436967 56.78746 + 2004 | 18.98186 10.62409 1.79 0.079 -2.229812 40.19353 + 2005 | -3.43865 7.981589 -0.43 0.668 -19.37441 12.49711 + 2006 | 22.52354 13.4643 1.67 0.099 -4.358804 49.40589 + 2007 | -2.370177 11.45553 -0.21 0.837 -25.24187 20.50152 + 2008 | 29.75433 9.478643 3.14 0.003 10.82961 48.67906 + 2009 | 16.80204 7.778704 2.16 0.034 1.271356 32.33272 + 2011 | 23.20655 9.340465 2.48 0.016 4.557707 41.85539 + 2012 | 13.63973 8.819972 1.55 0.127 -3.969913 31.24937 + 2013 | 15.36689 8.18732 1.88 0.065 -.9796249 31.7134 + 2014 | 56.71686 7.383563 7.68 0.000 41.9751 71.45862 + 2100 | 4.379784 8.398305 0.52 0.604 -12.38797 21.14754 + 2101 | 13.69722 8.76683 1.56 0.123 -3.806317 31.20077 + 2102 | 10.28755 7.95113 1.29 0.200 -5.587394 26.16249 + 2103 | 5.448061 8.127488 0.67 0.505 -10.77899 21.67511 + 2104 | 20.08516 11.69118 1.72 0.090 -3.257041 43.42736 + 2105 | 87.87912 8.957103 9.81 0.000 69.99569 105.7626 + | + house_administration | -8.379643 5.058558 -1.66 0.102 -18.47938 1.720095 + house_agriculture | 8.043702 3.611245 2.23 0.029 .8336193 15.25379 + house_appropriations | -7.322038 7.629045 -0.96 0.341 -22.55392 7.909843 + house_armedservices | .266454 6.012464 0.04 0.965 -11.73782 12.27073 + house_budget | 16.50997 10.75297 1.54 0.129 -4.959033 37.97896 + house_dc | 0 (omitted) + house_educlabor | 4.12704 6.360325 0.65 0.519 -8.571759 16.82584 + house_energycommerce | 12.40653 4.190227 2.96 0.004 4.040468 20.77258 + house_foreignaffairs | 13.22939 16.04484 0.82 0.413 -18.80516 45.26394 + house_governmentop | -11.54907 7.624229 -1.51 0.135 -26.77134 3.67319 + house_intelligence | 71.2786 9.25244 7.70 0.000 52.80551 89.75169 + house_interior | 3.851052 14.28313 0.27 0.788 -24.66613 32.36823 + house_judiciary | -4.852711 2.881998 -1.68 0.097 -10.6068 .9013828 + house_mmf | -8.118227 8.612055 -0.94 0.349 -25.31275 9.076296 + house_pocs | 9.260847 16.09934 0.58 0.567 -22.88253 41.40422 + house_pwt | -5.119391 9.75947 -0.52 0.602 -24.6048 14.36602 + house_rules | -8.579607 4.640439 -1.85 0.069 -17.84454 .6853274 + house_sst | 8.083344 21.10179 0.38 0.703 -34.04774 50.21443 + house_smallbusi | 41.4145 14.337 2.89 0.005 12.78974 70.03925 + house_soc | 0 (omitted) + house_veterans | 1.219714 5.222203 0.23 0.816 -9.206751 11.64618 + house_waysandmeans | -7.333986 2.613052 -2.81 0.007 -12.55111 -2.116859 +house_naturalresources | 21.9514 6.367857 3.45 0.001 9.237564 34.66524 + house_bfs | 8.220976 6.215729 1.32 0.191 -4.189127 20.63108 + house_eeo | 6.977477 7.406929 0.94 0.350 -7.810934 21.76589 + house_govreform | -7.154997 3.550192 -2.02 0.048 -14.24318 -.0668107 + house_ir | 4.524549 8.622755 0.52 0.602 -12.69134 21.74043 + house_natsecur | 14.56985 8.65851 1.68 0.097 -2.717422 31.85712 + house_oversight | 3.653297 5.642237 0.65 0.520 -7.611792 14.91839 + house_resources | 1.058265 5.732725 0.18 0.854 -10.38749 12.50402 + house_science | 12.03687 17.26726 0.70 0.488 -22.43834 46.51207 + house_transp | -8.092182 4.546848 -1.78 0.080 -17.17026 .9858934 + house_homeland | -6.040891 14.19916 -0.43 0.672 -34.39043 22.30865 + _cons | -4.502914 10.33162 -0.44 0.664 -25.13065 16.12483 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 67 1 0 1 1 + + +j = 4 k = 1 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11989 +----------------------+---------------------- NN matches = 3 + Number of obs | 6150 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 15.71586 27.17455 .5783301 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(6,677 missing values generated) +(54,574 missing values generated) +(47,897 real changes made) +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* [aw=wt] if tag_bill==1 & tenured==0, robust cluster(group_sponsor) +(sum of wgt is 49,832.3066351414) + +Linear regression Number of obs = 21,910 + F(265, 2152) = . + Prob > F = . + R-squared = 0.1161 + Root MSE = 19.944 + + (Std. Err. adjusted for 2,153 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -.2846851 .6710057 -0.42 0.671 -1.600572 1.031202 + | + v2 | + 102 | 1.616736 2.900588 0.56 0.577 -4.071512 7.304984 + 103 | -5.789718 1.984097 -2.92 0.004 -9.680665 -1.898771 + 104 | -5.122402 1.987914 -2.58 0.010 -9.020834 -1.223969 + 105 | -4.876901 2.008849 -2.43 0.015 -8.816389 -.937413 + 106 | -1.559353 2.319301 -0.67 0.501 -6.107658 2.988952 + 107 | -1.865996 2.02788 -0.92 0.358 -5.842805 2.110813 + 108 | -4.292758 2.141125 -2.00 0.045 -8.491648 -.0938685 + 109 | -2.770058 1.954484 -1.42 0.157 -6.602933 1.062816 + 110 | -6.757124 1.933567 -3.49 0.000 -10.54898 -2.965269 + 111 | -7.454546 1.974839 -3.77 0.000 -11.32734 -3.581754 + | + minor | + 101 | 3.11419 4.996406 0.62 0.533 -6.684097 12.91248 + 103 | -2.63568 2.042212 -1.29 0.197 -6.640593 1.369234 + 104 | 27.57691 10.81756 2.55 0.011 6.362946 48.79088 + 105 | .5141414 1.916853 0.27 0.789 -3.244936 4.273218 + 107 | 4.351212 2.057012 2.12 0.035 .3172729 8.385151 + 108 | 4.739453 3.954234 1.20 0.231 -3.015065 12.49397 + 110 | -3.248274 2.960601 -1.10 0.273 -9.054211 2.557663 + 200 | 6.226448 6.151249 1.01 0.312 -5.836564 18.28946 + 201 | -3.057769 3.53638 -0.86 0.387 -9.992848 3.877309 + 202 | 11.1756 8.541302 1.31 0.191 -5.57447 27.92566 + 204 | .2086153 5.144594 0.04 0.968 -9.880279 10.29751 + 205 | 12.43448 10.11202 1.23 0.219 -7.39586 32.26482 + 206 | .7506592 2.704981 0.28 0.781 -4.553989 6.055307 + 207 | .7779334 2.259442 0.34 0.731 -3.652985 5.208851 + 208 | 4.128485 2.980276 1.39 0.166 -1.716036 9.973006 + 209 | -6.55801 2.391551 -2.74 0.006 -11.248 -1.868018 + 299 | 1.093399 2.790794 0.39 0.695 -4.379534 6.566333 + 300 | 21.13339 8.067053 2.62 0.009 5.313359 36.95342 + 301 | 10.95662 2.959268 3.70 0.000 5.153293 16.75994 + 302 | 13.42422 2.849345 4.71 0.000 7.836461 19.01197 + 321 | 13.04104 4.31269 3.02 0.003 4.583565 21.49851 + 322 | 8.034923 2.592043 3.10 0.002 2.951753 13.11809 + 323 | 12.12983 4.231452 2.87 0.004 3.831673 20.42799 + 324 | 2.018131 3.355583 0.60 0.548 -4.562392 8.598654 + 325 | 11.87098 4.127319 2.88 0.004 3.777033 19.96493 + 331 | 22.16405 4.522143 4.90 0.000 13.29583 31.03228 + 332 | 17.06332 4.988796 3.42 0.001 7.279953 26.84668 + 333 | 8.28992 4.661973 1.78 0.076 -.8525213 17.43236 + 334 | 17.44872 5.149709 3.39 0.001 7.349796 27.54764 + 335 | 6.94526 3.72074 1.87 0.062 -.3513595 14.24188 + 336 | 12.06546 3.511494 3.44 0.001 5.179186 18.95174 + 341 | 6.716381 3.656689 1.84 0.066 -.4546303 13.88739 + 342 | 24.29613 10.8722 2.23 0.026 2.975004 45.61725 + 343 | 3.915269 3.688067 1.06 0.289 -3.317278 11.14782 + 344 | 1.788079 6.431505 0.28 0.781 -10.82453 14.40069 + 398 | 17.5614 3.599098 4.88 0.000 10.50333 24.61947 + 399 | 6.937863 5.888979 1.18 0.239 -4.61082 18.48655 + 400 | 3.066872 3.643612 0.84 0.400 -4.078495 10.21224 + 401 | 19.49454 4.369045 4.46 0.000 10.92655 28.06252 + 402 | 6.802251 3.547969 1.92 0.055 -.1555544 13.76006 + 403 | 6.398153 3.842918 1.66 0.096 -1.138066 13.93437 + 404 | 16.5266 3.232874 5.11 0.000 10.18671 22.86648 + 405 | 8.922565 6.953073 1.28 0.200 -4.712877 22.55801 + 498 | 3.431348 3.08372 1.11 0.266 -2.616034 9.47873 + 499 | 7.232765 4.597981 1.57 0.116 -1.784184 16.24971 + 500 | 3.510852 3.775506 0.93 0.353 -3.893168 10.91487 + 501 | 5.874019 4.542346 1.29 0.196 -3.033825 14.78186 + 502 | 19.06574 7.016448 2.72 0.007 5.306014 32.82546 + 503 | 6.850906 2.545513 2.69 0.007 1.858984 11.84283 + 504 | 16.26327 12.86454 1.26 0.206 -8.964957 41.4915 + 505 | 1.908577 2.572252 0.74 0.458 -3.135782 6.952936 + 506 | 4.772598 3.779402 1.26 0.207 -2.639062 12.18426 + 508 | 8.218631 3.395237 2.42 0.016 1.560343 14.87692 + 529 | 11.40049 6.019825 1.89 0.058 -.404793 23.20577 + 530 | 6.766742 2.365136 2.86 0.004 2.128552 11.40493 + 599 | -2.753661 3.622957 -0.76 0.447 -9.858522 4.3512 + 600 | 1.697058 2.497471 0.68 0.497 -3.200651 6.594766 + 601 | 10.84359 2.863252 3.79 0.000 5.228558 16.45862 + 602 | 6.940976 2.641774 2.63 0.009 1.76028 12.12167 + 603 | 14.44617 4.734913 3.05 0.002 5.160691 23.73166 + 604 | .4500568 3.643697 0.12 0.902 -6.695478 7.595591 + 606 | 4.319416 2.873595 1.50 0.133 -1.315897 9.954728 + 607 | 4.224237 2.791164 1.51 0.130 -1.249423 9.697897 + 609 | 10.40167 5.945218 1.75 0.080 -1.257298 22.06064 + 698 | .2292182 5.061779 0.05 0.964 -9.697269 10.15571 + 699 | 1.348845 3.171296 0.43 0.671 -4.870279 7.567969 + 700 | 3.375735 3.922066 0.86 0.389 -4.315699 11.06717 + 701 | 12.05522 5.671253 2.13 0.034 .9335162 23.17693 + 703 | 6.330979 3.307504 1.91 0.056 -.1552573 12.81722 + 704 | 7.39317 3.780759 1.96 0.051 -.0211527 14.80749 + 705 | 5.576168 2.82671 1.97 0.049 .0328005 11.11953 + 707 | 15.5889 7.204526 2.16 0.031 1.460342 29.71746 + 708 | 8.389833 8.684867 0.97 0.334 -8.641773 25.42144 + 709 | 3.627365 2.495412 1.45 0.146 -1.266305 8.521035 + 710 | 10.95357 3.497854 3.13 0.002 4.094044 17.81309 + 711 | 12.84899 3.750929 3.43 0.001 5.493169 20.20481 + 798 | 14.82115 6.2733 2.36 0.018 2.518785 27.12351 + 799 | 22.42958 4.621084 4.85 0.000 13.36732 31.49183 + 800 | 3.369098 2.931349 1.15 0.251 -2.379473 9.117669 + 801 | 12.99378 4.000492 3.25 0.001 5.14855 20.83902 + 802 | 6.222517 3.512047 1.77 0.077 -.6648421 13.10988 + 803 | 5.400599 2.741321 1.97 0.049 .0246843 10.77651 + 805 | -3.414622 2.604383 -1.31 0.190 -8.521992 1.692748 + 806 | 18.38155 4.425066 4.15 0.000 9.703697 27.0594 + 807 | 10.9607 3.725436 2.94 0.003 3.654869 18.26653 + 898 | -2.801451 3.502823 -0.80 0.424 -9.670722 4.06782 + 899 | 1.499226 6.240558 0.24 0.810 -10.73893 13.73738 + 1000 | 6.725528 4.094805 1.64 0.101 -1.304658 14.75571 + 1001 | 6.289604 4.270293 1.47 0.141 -2.084726 14.66393 + 1002 | 7.247582 3.59481 2.02 0.044 .1979176 14.29725 + 1003 | 10.88386 3.833535 2.84 0.005 3.366037 18.40168 + 1005 | 7.178297 5.604087 1.28 0.200 -3.811692 18.16829 + 1006 | 15.54018 4.381815 3.55 0.000 6.947144 24.13321 + 1007 | 6.501568 3.084881 2.11 0.035 .4519098 12.55123 + 1010 | -3.18099 2.460105 -1.29 0.196 -8.005422 1.643441 + 1098 | -10.5084 6.220591 -1.69 0.091 -22.7074 1.690593 + 1099 | 21.66901 13.46734 1.61 0.108 -4.741346 48.07936 + 1200 | 5.407267 5.048408 1.07 0.284 -4.492999 15.30753 + 1201 | 11.41341 4.859671 2.35 0.019 1.883266 20.94354 + 1202 | 8.129992 5.009359 1.62 0.105 -1.693697 17.95368 + 1203 | 5.209106 2.835852 1.84 0.066 -.3521901 10.7704 + 1204 | 9.764776 3.519891 2.77 0.006 2.862034 16.66752 + 1205 | 12.38326 5.295759 2.34 0.019 1.997923 22.7686 + 1206 | 14.37281 6.100486 2.36 0.019 2.409344 26.33627 + 1207 | 16.27956 3.694128 4.41 0.000 9.035124 23.52399 + 1208 | 15.59482 3.873549 4.03 0.000 7.998527 23.1911 + 1209 | 7.777602 2.872777 2.71 0.007 2.143893 13.41131 + 1210 | 10.33964 3.293595 3.14 0.002 3.880683 16.7986 + 1211 | 10.87181 3.977389 2.73 0.006 3.071884 18.67174 + 1299 | 2.175534 4.794029 0.45 0.650 -7.225878 11.57695 + 1300 | 3.072518 2.895188 1.06 0.289 -2.60514 8.750176 + 1301 | 9.34924 5.56141 1.68 0.093 -1.557057 20.25554 + 1302 | 1.761612 2.66587 0.66 0.509 -3.466338 6.989562 + 1303 | 9.741008 2.822233 3.45 0.001 4.206421 15.27559 + 1304 | 21.35339 6.488328 3.29 0.001 8.629342 34.07743 + 1305 | 13.19741 8.190921 1.61 0.107 -2.865532 29.26036 + 1399 | 3.808477 5.543894 0.69 0.492 -7.063471 14.68042 + 1400 | 6.747871 2.658074 2.54 0.011 1.535209 11.96053 + 1401 | 7.298598 2.955198 2.47 0.014 1.503257 13.09394 + 1403 | 15.17046 5.070253 2.99 0.003 5.227356 25.11357 + 1404 | .9629815 4.195483 0.23 0.818 -7.264641 9.190604 + 1405 | 19.13431 6.093628 3.14 0.002 7.184298 31.08432 + 1406 | 6.081529 3.375431 1.80 0.072 -.537918 12.70098 + 1407 | 13.08608 5.71014 2.29 0.022 1.88811 24.28404 + 1408 | 20.09034 9.124603 2.20 0.028 2.196379 37.9843 + 1409 | 27.99921 10.94254 2.56 0.011 6.540153 49.45826 + 1410 | 18.9554 5.039321 3.76 0.000 9.072956 28.83785 + 1499 | 7.828823 6.933125 1.13 0.259 -5.7675 21.42515 + 1500 | 4.479768 3.926319 1.14 0.254 -3.220005 12.17954 + 1501 | 11.87164 2.818969 4.21 0.000 6.343448 17.39982 + 1502 | 8.581491 3.077713 2.79 0.005 2.54589 14.61709 + 1504 | 6.09262 2.576705 2.36 0.018 1.03953 11.14571 + 1505 | 18.73553 5.33455 3.51 0.000 8.274124 29.19695 + 1507 | 10.07473 5.004332 2.01 0.044 .2609039 19.88856 + 1520 | .4925906 3.471596 0.14 0.887 -6.315443 7.300624 + 1521 | 10.70432 2.847981 3.76 0.000 5.11924 16.2894 + 1522 | 18.2577 3.758758 4.86 0.000 10.88653 25.62888 + 1523 | 14.55921 3.90473 3.73 0.000 6.901774 22.21665 + 1524 | 19.53593 8.112738 2.41 0.016 3.626305 35.44555 + 1525 | 14.74131 5.531583 2.66 0.008 3.893506 25.58911 + 1526 | 13.84109 4.299589 3.22 0.001 5.409308 22.27287 + 1599 | 12.688 4.871223 2.60 0.009 3.135209 22.2408 + 1600 | 6.513819 5.800224 1.12 0.262 -4.86081 17.88845 + 1602 | -4.423978 3.171634 -1.39 0.163 -10.64376 1.795809 + 1603 | 7.59385 5.654702 1.34 0.179 -3.495399 18.6831 + 1604 | 10.68889 7.594227 1.41 0.159 -4.203902 25.58167 + 1605 | 3.723308 3.099541 1.20 0.230 -2.355099 9.801714 + 1606 | -2.682938 4.983969 -0.54 0.590 -12.45684 7.09096 + 1608 | 12.02306 2.571875 4.67 0.000 6.979439 17.06668 + 1609 | 6.794501 2.614961 2.60 0.009 1.666388 11.92262 + 1610 | 8.149209 5.691645 1.43 0.152 -3.012488 19.31091 + 1611 | 4.521594 5.226013 0.87 0.387 -5.726968 14.77016 + 1612 | 15.44372 4.088082 3.78 0.000 7.426714 23.46072 + 1614 | 1.383918 3.637382 0.38 0.704 -5.749231 8.517067 + 1615 | 6.988159 2.84764 2.45 0.014 1.403747 12.57257 + 1616 | 3.159545 3.680549 0.86 0.391 -4.058257 10.37735 + 1617 | .1732148 3.41886 0.05 0.960 -6.531399 6.877829 + 1619 | 4.928544 5.832692 0.84 0.398 -6.509755 16.36684 + 1620 | 28.33981 7.439839 3.81 0.000 13.74979 42.92983 + 1698 | 3.185245 5.172503 0.62 0.538 -6.958379 13.32887 + 1699 | 17.34996 5.50845 3.15 0.002 6.547522 28.1524 + 1700 | 22.34022 9.308887 2.40 0.016 4.084868 40.59557 + 1701 | 17.63695 7.211839 2.45 0.015 3.494049 31.77985 + 1704 | 13.75517 10.70842 1.28 0.199 -7.244763 34.7551 + 1705 | 1.695415 10.38201 0.16 0.870 -18.6644 22.05523 + 1706 | 9.697385 4.322773 2.24 0.025 1.220138 18.17463 + 1707 | 17.20195 3.932264 4.37 0.000 9.490517 24.91338 + 1708 | 10.80376 5.64275 1.91 0.056 -.262049 21.86957 + 1709 | 17.11833 4.619616 3.71 0.000 8.058954 26.17771 + 1798 | 14.19963 5.862463 2.42 0.016 2.702945 25.69631 + 1799 | -3.124967 4.748621 -0.66 0.511 -12.43733 6.187397 + 1800 | 9.676234 5.625631 1.72 0.086 -1.356004 20.70847 + 1802 | 7.892934 2.794175 2.82 0.005 2.41337 13.3725 + 1803 | 13.48548 7.646952 1.76 0.078 -1.510705 28.48166 + 1804 | 3.705793 4.169438 0.89 0.374 -4.470753 11.88234 + 1806 | 8.561245 4.390293 1.95 0.051 -.048414 17.1709 + 1807 | -2.907516 2.235435 -1.30 0.194 -7.291354 1.476323 + 1808 | 19.84787 16.50362 1.20 0.229 -12.51683 52.21257 + 1899 | 1.116762 7.629517 0.15 0.884 -13.84523 16.07875 + 1900 | 4.49556 5.04147 0.89 0.373 -5.3911 14.38222 + 1901 | 9.542494 3.093785 3.08 0.002 3.475374 15.60961 + 1902 | 6.943557 4.154924 1.67 0.095 -1.204526 15.09164 + 1905 | 1.548252 3.57162 0.43 0.665 -5.455933 8.552438 + 1906 | 8.891408 4.248019 2.09 0.036 .5607584 17.22206 + 1907 | 4.568436 8.370956 0.55 0.585 -11.84757 20.98444 + 1908 | 3.670906 7.14471 0.51 0.607 -10.34035 17.68216 + 1909 | 8.026228 7.223147 1.11 0.267 -6.138847 22.1913 + 1910 | 51.00118 11.3418 4.50 0.000 28.75915 73.24322 + 1911 | 14.64341 6.763449 2.17 0.030 1.379838 27.90699 + 1914 | 10.33807 5.309212 1.95 0.052 -.0736501 20.74979 + 1919 | 10.18911 8.037897 1.27 0.205 -5.573746 25.95196 + 1920 | 15.99886 3.240589 4.94 0.000 9.643846 22.35387 + 1925 | 12.29893 5.312678 2.32 0.021 1.880409 22.71744 + 1926 | 4.892465 3.46444 1.41 0.158 -1.901534 11.68646 + 1927 | 11.36989 4.126749 2.76 0.006 3.277064 19.46272 + 1929 | 13.65452 4.60544 2.96 0.003 4.622943 22.6861 + 1999 | 27.04568 11.9938 2.25 0.024 3.525031 50.56632 + 2000 | 8.490064 3.77222 2.25 0.025 1.092487 15.88764 + 2001 | 9.711475 5.332332 1.82 0.069 -.7455844 20.16853 + 2002 | 6.265671 2.9533 2.12 0.034 .4740529 12.05729 + 2003 | 12.56277 3.770267 3.33 0.001 5.16902 19.95651 + 2004 | 12.0342 3.178586 3.79 0.000 5.800782 18.26762 + 2005 | 1.55006 6.581851 0.24 0.814 -11.35739 14.45751 + 2006 | 25.49695 3.456763 7.38 0.000 18.71801 32.27589 + 2007 | 7.497316 5.266141 1.42 0.155 -2.82994 17.82457 + 2008 | 21.28693 2.4983 8.52 0.000 16.3876 26.18627 + 2009 | 3.986849 4.378995 0.91 0.363 -4.600653 12.57435 + 2011 | 7.195997 2.51156 2.87 0.004 2.27066 12.12133 + 2012 | 7.539742 2.817957 2.68 0.008 2.013539 13.06594 + 2013 | -1.157598 3.836954 -0.30 0.763 -8.682121 6.366925 + 2014 | 10.98172 4.796869 2.29 0.022 1.574737 20.3887 + 2015 | 9.399517 4.307146 2.18 0.029 .9529139 17.84612 + 2030 | -2.750543 8.612203 -0.32 0.749 -19.63965 14.13856 + 2099 | 18.92972 4.695498 4.03 0.000 9.721532 28.1379 + 2100 | -2.697045 3.088753 -0.87 0.383 -8.754296 3.360207 + 2101 | 9.116353 2.595321 3.51 0.000 4.026754 14.20595 + 2102 | 13.43668 2.495805 5.38 0.000 8.542234 18.33112 + 2103 | 5.092654 2.358304 2.16 0.031 .4678623 9.717445 + 2104 | 6.650987 2.821191 2.36 0.018 1.118441 12.18353 + 2105 | 3.128761 8.000228 0.39 0.696 -12.56022 18.81774 + 2199 | 18.00134 11.33722 1.59 0.112 -4.231702 40.23438 + 9999 | 5.497544 2.919157 1.88 0.060 -.2271178 11.2222 + | + house_administration | -5.142953 1.619795 -3.18 0.002 -8.31948 -1.966426 + house_agriculture | 5.24853 1.564277 3.36 0.001 2.180878 8.316181 + house_appropriations | -5.044407 1.656713 -3.04 0.002 -8.293332 -1.795482 + house_armedservices | -1.778608 1.361155 -1.31 0.191 -4.447924 .8907073 + house_budget | 2.635719 2.666361 0.99 0.323 -2.593193 7.864631 + house_dc | 29.71101 11.97901 2.48 0.013 6.21936 53.20266 + house_educlabor | -3.117482 1.146142 -2.72 0.007 -5.365143 -.8698209 + house_energycommerce | -.3366103 .9930411 -0.34 0.735 -2.28403 1.61081 + house_foreignaffairs | 1.512587 1.732317 0.87 0.383 -1.884603 4.909777 + house_governmentop | 3.143457 2.634588 1.19 0.233 -2.023147 8.31006 + house_intelligence | 11.87384 4.242182 2.80 0.005 3.55464 20.19305 + house_interior | -3.630178 2.580523 -1.41 0.160 -8.690756 1.430401 + house_judiciary | -1.233886 1.063617 -1.16 0.246 -3.31971 .8519384 + house_mmf | 1.045436 3.643227 0.29 0.774 -6.099177 8.190048 + house_pocs | 6.232437 3.036105 2.05 0.040 .2784315 12.18644 + house_pwt | .4003415 2.988858 0.13 0.893 -5.461008 6.261691 + house_rules | -2.652473 2.114296 -1.25 0.210 -6.798749 1.493802 + house_sst | 8.475064 5.476543 1.55 0.122 -2.264803 19.21493 + house_smallbusi | -3.535397 2.88466 -1.23 0.220 -9.192409 2.121615 + house_soc | -.5141924 4.093661 -0.13 0.900 -8.542136 7.513751 + house_veterans | 2.529828 1.617383 1.56 0.118 -.6419695 5.701625 + house_waysandmeans | -.5588738 1.016461 -0.55 0.582 -2.552221 1.434473 +house_naturalresources | 1.173326 1.686374 0.70 0.487 -2.133766 4.480419 + house_bfs | -1.827065 1.255568 -1.46 0.146 -4.289317 .6351873 + house_eeo | -1.363822 3.227178 -0.42 0.673 -7.692534 4.96489 + house_govreform | .1163958 1.267162 0.09 0.927 -2.368594 2.601385 + house_ir | -3.56327 1.442922 -2.47 0.014 -6.392936 -.7336032 + house_natsecur | 1.505573 2.1682 0.69 0.488 -2.746412 5.757559 + house_oversight | 1.233361 1.576612 0.78 0.434 -1.85848 4.325202 + house_resources | -2.467728 1.378728 -1.79 0.074 -5.171506 .2360506 + house_science | .9042782 2.043062 0.44 0.658 -3.102304 4.91086 + house_transp | 1.061149 1.354499 0.78 0.433 -1.595114 3.717412 + house_homeland | -2.908548 1.99134 -1.46 0.144 -6.813699 .9966025 + _cons | 10.56195 2.598403 4.06 0.000 5.466311 15.6576 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,153 1 0 1 1 + + +j = 4 k = 2 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6186 +----------------------+---------------------- NN matches = 3 + Number of obs | 2192 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 24.47749 44.63704 .5483673 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(6,677 missing values generated) +(54,574 missing values generated) +(47,897 real changes made) +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==100 & tag_bill==1 & tenured==0, robust cluster(group_sponsor) +(sum of wgt is 23,552.0312585831) + +Linear regression Number of obs = 10,652 + F(257, 1039) = . + Prob > F = . + R-squared = 0.1267 + Root MSE = 16.963 + + (Std. Err. adjusted for 1,040 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -.4230882 .6697425 -0.63 0.528 -1.73729 .891114 + | + v2 | + 102 | .7592926 1.421109 0.53 0.593 -2.029278 3.547863 + 103 | -1.933864 1.143599 -1.69 0.091 -4.17789 .3101623 + 104 | -.3853513 1.944122 -0.20 0.843 -4.200205 3.429502 + 105 | -2.298111 1.799021 -1.28 0.202 -5.828239 1.232017 + 106 | -3.480454 1.158167 -3.01 0.003 -5.753068 -1.20784 + 107 | -2.31098 1.847895 -1.25 0.211 -5.937012 1.315052 + 108 | -4.541806 1.153065 -3.94 0.000 -6.804408 -2.279205 + 109 | -2.651734 1.476428 -1.80 0.073 -5.548855 .2453866 + 110 | .6222909 1.530353 0.41 0.684 -2.380643 3.625225 + 111 | -1.749231 1.512888 -1.16 0.248 -4.717895 1.219433 + | + minor | + 101 | -2.623718 9.122654 -0.29 0.774 -20.52464 15.27721 + 103 | -9.752091 4.930899 -1.98 0.048 -19.42775 -.0764339 + 104 | 1.101096 7.147106 0.15 0.878 -12.92331 15.1255 + 105 | -1.381186 5.258727 -0.26 0.793 -11.70012 8.937749 + 107 | -.8581823 4.87639 -0.18 0.860 -10.42688 8.710514 + 108 | -2.575289 6.223711 -0.41 0.679 -14.78776 9.637186 + 110 | -19.0785 5.319999 -3.59 0.000 -29.51767 -8.639338 + 200 | -9.205443 4.961308 -1.86 0.064 -18.94077 .5298822 + 201 | -8.538063 5.538731 -1.54 0.123 -19.40644 2.330311 + 202 | -3.222434 6.646815 -0.48 0.628 -16.26514 9.820277 + 204 | 17.58683 4.937224 3.56 0.000 7.898762 27.2749 + 205 | -9.782486 6.757237 -1.45 0.148 -23.04187 3.476901 + 206 | -10.9353 5.16285 -2.12 0.034 -21.0661 -.8044941 + 207 | -4.737563 4.952955 -0.96 0.339 -14.4565 4.981371 + 208 | -6.210884 5.228789 -1.19 0.235 -16.47107 4.049308 + 299 | -7.864012 5.554268 -1.42 0.157 -18.76287 3.03485 + 300 | 11.66179 11.44322 1.02 0.308 -10.79267 34.11624 + 301 | 5.313666 5.715661 0.93 0.353 -5.901889 16.52922 + 302 | 4.780784 5.757163 0.83 0.406 -6.516207 16.07778 + 321 | 1.456741 5.434798 0.27 0.789 -9.207691 12.12117 + 322 | -2.866735 5.013571 -0.57 0.568 -12.70461 6.971144 + 323 | 4.80613 8.690092 0.55 0.580 -12.246 21.85826 + 324 | -4.960494 5.288926 -0.94 0.349 -15.33869 5.4177 + 325 | 3.835091 6.645523 0.58 0.564 -9.205084 16.87527 + 331 | 3.780664 5.646767 0.67 0.503 -7.299704 14.86103 + 332 | -1.727981 5.39921 -0.32 0.749 -12.32258 8.866617 + 333 | -6.126645 5.108442 -1.20 0.231 -16.15068 3.897394 + 334 | -.2437213 5.3286 -0.05 0.964 -10.69977 10.21232 + 335 | .0404951 5.274645 0.01 0.994 -10.30968 10.39067 + 336 | -.3202394 5.287803 -0.06 0.952 -10.69623 10.05575 + 341 | -2.666229 5.414434 -0.49 0.623 -13.2907 7.958243 + 342 | 1.462612 7.428013 0.20 0.844 -13.11301 16.03823 + 343 | -.2948441 6.014622 -0.05 0.961 -12.09703 11.50735 + 344 | -7.189092 5.463374 -1.32 0.189 -17.9096 3.531412 + 398 | 3.36881 5.187478 0.65 0.516 -6.810318 13.54794 + 399 | -1.779164 5.730572 -0.31 0.756 -13.02398 9.465649 + 400 | -8.167369 6.785294 -1.20 0.229 -21.48181 5.147073 + 401 | 23.46861 6.73591 3.48 0.001 10.25107 36.68615 + 402 | -7.486824 5.369692 -1.39 0.164 -18.0235 3.049853 + 403 | .6258727 6.347013 0.10 0.921 -11.82855 13.0803 + 404 | 10.28218 6.41891 1.60 0.109 -2.313321 22.87769 + 405 | -5.149759 8.092532 -0.64 0.525 -21.02933 10.72981 + 498 | -4.722773 5.954326 -0.79 0.428 -16.40665 6.961102 + 499 | 16.79568 10.96434 1.53 0.126 -4.719092 38.31046 + 500 | -4.502192 5.534701 -0.81 0.416 -15.36266 6.358274 + 501 | -1.920188 5.13744 -0.37 0.709 -12.00113 8.160752 + 502 | -1.735163 5.276004 -0.33 0.742 -12.088 8.617675 + 503 | -2.249502 4.872787 -0.46 0.644 -11.81113 7.312123 + 504 | -8.648228 5.196414 -1.66 0.096 -18.84489 1.548434 + 505 | 4.502874 6.479239 0.69 0.487 -8.211011 17.21676 + 506 | -4.979323 5.736236 -0.87 0.386 -16.23525 6.276606 + 508 | -2.529082 5.235213 -0.48 0.629 -12.80188 7.743714 + 529 | 10.38508 10.72852 0.97 0.333 -10.66696 31.43713 + 530 | .1032073 4.972496 0.02 0.983 -9.654073 9.860487 + 599 | -9.197378 5.882862 -1.56 0.118 -20.74102 2.346268 + 600 | -2.666206 4.940169 -0.54 0.590 -12.36005 7.02764 + 601 | .6943559 5.053551 0.14 0.891 -9.221973 10.61068 + 602 | -3.091327 4.770235 -0.65 0.517 -12.45172 6.269065 + 603 | .4483321 5.514387 0.08 0.935 -10.37227 11.26894 + 604 | -7.822764 4.945858 -1.58 0.114 -17.52777 1.882246 + 606 | -1.943779 5.136361 -0.38 0.705 -12.0226 8.135045 + 607 | -2.223974 4.817324 -0.46 0.644 -11.67677 7.228819 + 609 | 3.846688 5.749492 0.67 0.504 -7.435252 15.12863 + 698 | -4.938014 5.730173 -0.86 0.389 -16.18204 6.306017 + 699 | -2.474888 5.728283 -0.43 0.666 -13.71521 8.765435 + 700 | -1.401854 5.946772 -0.24 0.814 -13.07091 10.2672 + 701 | .8960585 8.306859 0.11 0.914 -15.40407 17.19619 + 703 | .0022071 6.317079 0.00 1.000 -12.39348 12.39789 + 704 | 3.837058 7.341066 0.52 0.601 -10.56795 18.24206 + 705 | -1.790602 5.696432 -0.31 0.753 -12.96842 9.387221 + 707 | 10.37679 7.457127 1.39 0.164 -4.255953 25.00954 + 708 | -6.639368 4.883188 -1.36 0.174 -16.2214 2.942667 + 709 | -2.144185 5.055959 -0.42 0.672 -12.06524 7.77687 + 710 | 3.433456 6.208774 0.55 0.580 -8.74971 15.61662 + 711 | 2.303259 5.753119 0.40 0.689 -8.985798 13.59232 + 798 | -8.468342 5.480885 -1.55 0.123 -19.22321 2.286523 + 799 | -7.460988 5.689612 -1.31 0.190 -18.62543 3.703453 + 800 | -3.612651 5.069233 -0.71 0.476 -13.55975 6.334451 + 801 | 12.61435 6.708694 1.88 0.060 -.5497878 25.77848 + 802 | -3.345184 5.798887 -0.58 0.564 -14.72405 8.03368 + 803 | .8495343 6.077113 0.14 0.889 -11.07528 12.77435 + 805 | .7630961 8.071445 0.09 0.925 -15.0751 16.60129 + 806 | 14.3664 6.35164 2.26 0.024 1.902897 26.82991 + 807 | -2.17391 5.141407 -0.42 0.673 -12.26263 7.914815 + 898 | .2980472 6.930125 0.04 0.966 -13.30059 13.89668 + 899 | -7.016042 6.283641 -1.12 0.264 -19.34612 5.314032 + 1000 | -2.564576 7.48 -0.34 0.732 -17.2422 12.11305 + 1001 | -6.533877 6.370137 -1.03 0.305 -19.03368 5.965923 + 1002 | -3.124687 6.597925 -0.47 0.636 -16.07146 9.82209 + 1003 | -.9241245 5.693383 -0.16 0.871 -12.09596 10.24772 + 1005 | -5.587484 6.089391 -0.92 0.359 -17.53639 6.361422 + 1006 | 3.350477 6.249064 0.54 0.592 -8.911747 15.6127 + 1007 | -1.811735 5.491895 -0.33 0.742 -12.5882 8.964735 + 1010 | -12.99545 5.278791 -2.46 0.014 -23.35376 -2.63714 + 1098 | -7.653622 8.921018 -0.86 0.391 -25.15889 9.851645 + 1099 | -19.69645 5.763656 -3.42 0.001 -31.00618 -8.386713 + 1200 | -1.75819 7.401847 -0.24 0.812 -16.28246 12.76608 + 1201 | 3.104529 6.828754 0.45 0.649 -10.29519 16.50425 + 1202 | 2.289006 7.391666 0.31 0.757 -12.21529 16.7933 + 1203 | -.670822 5.658614 -0.12 0.906 -11.77444 10.43279 + 1204 | 3.241089 6.232692 0.52 0.603 -8.98901 15.47119 + 1205 | 21.89535 8.161204 2.68 0.007 5.881024 37.90967 + 1206 | -7.288551 4.886865 -1.49 0.136 -16.8778 2.3007 + 1207 | 6.521445 6.399114 1.02 0.308 -6.035214 19.0781 + 1208 | -2.052117 5.024211 -0.41 0.683 -11.91087 7.80664 + 1209 | -1.675693 5.18153 -0.32 0.746 -11.84315 8.491763 + 1210 | 3.243492 5.860827 0.55 0.580 -8.256914 14.7439 + 1211 | .4136509 6.662537 0.06 0.951 -12.65991 13.48721 + 1299 | -3.796905 5.950453 -0.64 0.524 -15.47318 7.87937 + 1300 | -1.867999 5.807073 -0.32 0.748 -13.26293 9.526929 + 1301 | 3.2202 7.972786 0.40 0.686 -12.4244 18.8648 + 1302 | -4.552867 5.159793 -0.88 0.378 -14.67767 5.571935 + 1303 | 1.609053 5.759415 0.28 0.780 -9.692359 12.91046 + 1304 | -2.783629 5.048903 -0.55 0.582 -12.69084 7.123579 + 1305 | 7.980867 7.693022 1.04 0.300 -7.114764 23.0765 + 1399 | -5.427685 7.35186 -0.74 0.461 -19.85387 8.998502 + 1400 | -1.696941 5.180223 -0.33 0.743 -11.86183 8.467951 + 1401 | -4.159202 5.121346 -0.81 0.417 -14.20856 5.890159 + 1403 | -9.343003 4.875897 -1.92 0.056 -18.91073 .2247247 + 1404 | -11.33144 4.916852 -2.30 0.021 -20.97954 -1.683354 + 1405 | 12.12217 7.128711 1.70 0.089 -1.866144 26.11048 + 1406 | -5.672418 5.005468 -1.13 0.257 -15.4944 4.14956 + 1407 | -6.794599 6.653922 -1.02 0.307 -19.85126 6.262058 + 1408 | 7.41937 7.363266 1.01 0.314 -7.029198 21.86794 + 1409 | -5.588788 5.937198 -0.94 0.347 -17.23905 6.061477 + 1410 | 1.734096 5.699005 0.30 0.761 -9.448776 12.91697 + 1499 | 10.32117 10.71647 0.96 0.336 -10.70722 31.34956 + 1500 | -5.694319 6.354173 -0.90 0.370 -18.16279 6.774157 + 1501 | -2.197018 5.115606 -0.43 0.668 -12.23511 7.841078 + 1502 | 3.328743 5.783956 0.58 0.565 -8.020824 14.67831 + 1504 | -3.32385 5.076187 -0.65 0.513 -13.2846 6.636898 + 1505 | 3.880482 5.919181 0.66 0.512 -7.73443 15.49539 + 1507 | 2.69011 8.554003 0.31 0.753 -14.09498 19.4752 + 1520 | -2.464169 6.406764 -0.38 0.701 -15.03584 10.1075 + 1521 | 1.330952 5.310413 0.25 0.802 -9.089404 11.75131 + 1522 | 15.77716 7.117855 2.22 0.027 1.810152 29.74417 + 1523 | -.2424346 5.862976 -0.04 0.967 -11.74706 11.26219 + 1524 | 14.41646 11.51121 1.25 0.211 -8.171405 37.00433 + 1525 | -.7859973 5.064583 -0.16 0.877 -10.72397 9.15198 + 1526 | 2.339234 6.131323 0.38 0.703 -9.691954 14.37042 + 1599 | 8.144952 8.433373 0.97 0.334 -8.403433 24.69334 + 1600 | -4.135455 5.727288 -0.72 0.470 -15.37382 7.102915 + 1602 | -2.339789 6.407614 -0.37 0.715 -14.91313 10.23355 + 1603 | 6.920081 8.497465 0.81 0.416 -9.754068 23.59423 + 1604 | -2.825694 6.631793 -0.43 0.670 -15.83893 10.18754 + 1605 | -1.582559 5.607523 -0.28 0.778 -12.58592 9.420802 + 1606 | -1.350123 5.391485 -0.25 0.802 -11.92956 9.229318 + 1608 | 4.299151 5.066218 0.85 0.396 -5.642035 14.24034 + 1609 | -1.701158 5.387424 -0.32 0.752 -12.27263 8.870315 + 1610 | -3.501433 5.581256 -0.63 0.531 -14.45325 7.450385 + 1611 | -5.987536 5.079068 -1.18 0.239 -15.95394 3.978863 + 1612 | .7744484 5.818824 0.13 0.894 -10.64354 12.19244 + 1614 | -2.430893 5.539295 -0.44 0.661 -13.30037 8.438587 + 1615 | -.8489221 5.929713 -0.14 0.886 -12.4845 10.78666 + 1616 | -3.137911 5.285282 -0.59 0.553 -13.50895 7.233132 + 1617 | -8.253255 5.040177 -1.64 0.102 -18.14334 1.636831 + 1619 | -8.793142 4.922781 -1.79 0.074 -18.45287 .8665848 + 1620 | 12.21017 8.149091 1.50 0.134 -3.780379 28.20072 + 1698 | -.7735253 6.389144 -0.12 0.904 -13.31062 11.76357 + 1699 | 3.840231 5.847973 0.66 0.512 -7.634953 15.31542 + 1700 | 8.730738 6.914451 1.26 0.207 -4.837141 22.29862 + 1701 | 16.87568 8.831481 1.91 0.056 -.4538932 34.20525 + 1704 | 50.2869 8.093068 6.21 0.000 34.40628 66.16752 + 1705 | .0204625 8.802725 0.00 0.998 -17.25268 17.29361 + 1706 | -4.157776 5.195677 -0.80 0.424 -14.35299 6.03744 + 1707 | 1.888316 5.620344 0.34 0.737 -9.140203 12.91684 + 1708 | 10.65605 6.599018 1.61 0.107 -2.292874 23.60497 + 1709 | 9.517753 8.037798 1.18 0.237 -6.254415 25.28992 + 1798 | 4.971232 7.042113 0.71 0.480 -8.847152 18.78962 + 1799 | -4.532247 6.852903 -0.66 0.509 -17.97935 8.914861 + 1800 | -3.608531 6.085487 -0.59 0.553 -15.54978 8.332715 + 1802 | -1.754577 5.129459 -0.34 0.732 -11.81986 8.310703 + 1803 | -3.508589 5.92449 -0.59 0.554 -15.13392 8.116741 + 1804 | -6.335098 5.476776 -1.16 0.248 -17.0819 4.411704 + 1806 | .4451031 6.224709 0.07 0.943 -11.76933 12.65954 + 1807 | -6.001502 5.103297 -1.18 0.240 -16.01545 4.012441 + 1808 | 35.05608 5.280771 6.64 0.000 24.69389 45.41827 + 1899 | -7.260934 5.421085 -1.34 0.181 -17.89846 3.37659 + 1900 | -9.318262 5.901451 -1.58 0.115 -20.89838 2.261859 + 1901 | -.9101811 5.248819 -0.17 0.862 -11.20968 9.389313 + 1902 | 4.105169 5.415925 0.76 0.449 -6.522228 14.73257 + 1905 | -3.136444 5.604693 -0.56 0.576 -14.13425 7.861363 + 1906 | 12.33074 7.923664 1.56 0.120 -3.217468 27.87895 + 1907 | 8.165648 6.061421 1.35 0.178 -3.728374 20.05967 + 1908 | -4.763274 5.84609 -0.81 0.415 -16.23476 6.708215 + 1909 | 3.050804 8.027802 0.38 0.704 -12.70175 18.80336 + 1910 | -1.152797 5.51557 -0.21 0.834 -11.97572 9.670129 + 1911 | 2.523297 6.855531 0.37 0.713 -10.92897 15.97556 + 1914 | -1.458484 6.465427 -0.23 0.822 -14.14527 11.2283 + 1919 | -8.480812 4.769142 -1.78 0.076 -17.83906 .8774359 + 1920 | 9.354931 5.452374 1.72 0.087 -1.343988 20.05385 + 1925 | 1.880165 6.211528 0.30 0.762 -10.3084 14.06873 + 1926 | 4.231804 7.281763 0.58 0.561 -10.05683 18.52044 + 1927 | 1.710773 6.728569 0.25 0.799 -11.49236 14.91391 + 1929 | 7.767773 8.018168 0.97 0.333 -7.965877 23.50142 + 1999 | 39.87541 4.968998 8.02 0.000 30.12499 49.62583 + 2000 | 4.762795 8.195181 0.58 0.561 -11.3182 20.84379 + 2001 | 11.3251 9.310555 1.22 0.224 -6.944532 29.59474 + 2002 | .5120289 5.665778 0.09 0.928 -10.60564 11.6297 + 2003 | 2.81509 5.445052 0.52 0.605 -7.869462 13.49964 + 2004 | -.2658707 5.138666 -0.05 0.959 -10.34922 9.817477 + 2005 | 15.11036 9.60097 1.57 0.116 -3.729139 33.94987 + 2006 | 10.61208 5.555129 1.91 0.056 -.2884718 21.51263 + 2007 | -5.913511 5.45429 -1.08 0.279 -16.61619 4.78917 + 2008 | 12.96003 5.252124 2.47 0.014 2.65405 23.26601 + 2009 | 17.36223 9.792221 1.77 0.077 -1.852555 36.57701 + 2011 | .3923106 5.808273 0.07 0.946 -11.00497 11.78959 + 2012 | -3.960676 5.31059 -0.75 0.456 -14.38138 6.460029 + 2013 | -3.410183 8.059335 -0.42 0.672 -19.22461 12.40425 + 2014 | 10.75221 7.005855 1.53 0.125 -2.995027 24.49945 + 2015 | .1043922 6.597334 0.02 0.987 -12.84122 13.05001 + 2030 | -3.815387 7.641248 -0.50 0.618 -18.80942 11.17865 + 2099 | 10.0582 6.808058 1.48 0.140 -3.30091 23.41731 + 2100 | -4.179849 5.792343 -0.72 0.471 -15.54587 7.186175 + 2101 | .950467 5.163949 0.18 0.854 -9.182492 11.08343 + 2102 | 4.345554 4.915486 0.88 0.377 -5.299858 13.99097 + 2103 | .337491 5.033925 0.07 0.947 -9.540328 10.21531 + 2104 | .8128915 6.097998 0.13 0.894 -11.1529 12.77869 + 9999 | -.1367731 5.367692 -0.03 0.980 -10.66953 10.39598 + | + house_administration | 1.914147 2.089792 0.92 0.360 -2.186548 6.014842 + house_agriculture | 6.723888 2.191355 3.07 0.002 2.423903 11.02387 + house_appropriations | -.5112974 4.121165 -0.12 0.901 -8.598053 7.575458 + house_armedservices | -3.067818 1.247864 -2.46 0.014 -5.516439 -.6191973 + house_budget | -8.577763 1.831902 -4.68 0.000 -12.17241 -4.983114 + house_dc | -24.07122 8.481443 -2.84 0.005 -40.71393 -7.428508 + house_educlabor | -3.685642 .6725105 -5.48 0.000 -5.005276 -2.366008 + house_energycommerce | -1.851521 1.140814 -1.62 0.105 -4.090083 .3870417 + house_foreignaffairs | -1.964416 1.790726 -1.10 0.273 -5.478269 1.549436 + house_governmentop | -.1110482 2.090106 -0.05 0.958 -4.212358 3.990261 + house_intelligence | 7.105869 4.351215 1.63 0.103 -1.432303 15.64404 + house_interior | -2.974224 2.072395 -1.44 0.152 -7.040782 1.092333 + house_judiciary | -.467513 1.11427 -0.42 0.675 -2.65399 1.718964 + house_mmf | -4.062888 2.827823 -1.44 0.151 -9.611783 1.486008 + house_pocs | 1.852871 3.858427 0.48 0.631 -5.718326 9.424068 + house_pwt | 5.5926 3.094881 1.81 0.071 -.4803294 11.66553 + house_rules | 4.102031 3.746623 1.09 0.274 -3.249779 11.45384 + house_sst | 2.526302 3.429941 0.74 0.462 -4.2041 9.256704 + house_smallbusi | -3.845674 2.456417 -1.57 0.118 -8.665777 .9744285 + house_soc | -5.945199 4.56929 -1.30 0.194 -14.91129 3.020891 + house_veterans | 3.381154 2.019512 1.67 0.094 -.5816332 7.34394 + house_waysandmeans | -.6581406 .7421348 -0.89 0.375 -2.114394 .7981132 +house_naturalresources | -.0002761 2.102253 -0.00 1.000 -4.125421 4.124869 + house_bfs | -.7585098 .9901883 -0.77 0.444 -2.701507 1.184487 + house_eeo | 1.643169 4.363443 0.38 0.707 -6.918997 10.20534 + house_govreform | 3.211295 1.645488 1.95 0.051 -.0175639 6.440153 + house_ir | -1.668276 1.416727 -1.18 0.239 -4.448249 1.111696 + house_natsecur | -.1752122 2.460417 -0.07 0.943 -5.003164 4.65274 + house_oversight | -2.67241 2.212671 -1.21 0.227 -7.014224 1.669404 + house_resources | -.2660962 2.334504 -0.11 0.909 -4.846977 4.314784 + house_science | -2.42213 2.071743 -1.17 0.243 -6.487407 1.643147 + house_transp | 2.869585 1.969921 1.46 0.146 -.9958932 6.735063 + house_homeland | .8649809 2.887566 0.30 0.765 -4.801145 6.531107 + _cons | 14.10385 4.788256 2.95 0.003 4.708092 23.4996 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,040 1 0 1 1 + + +j = 4 k = 3 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 11.12081 18.1168 .6138395 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(6,677 missing values generated) +(54,574 missing values generated) +(47,897 real changes made) +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==200 & tag_bill==1 & tenured==0, robust cluster(group_sponsor) +(sum of wgt is 26,099.9200919867) + +Linear regression Number of obs = 11,241 + F(260, 1110) = . + Prob > F = . + R-squared = 0.2590 + Root MSE = 20.518 + + (Std. Err. adjusted for 1,111 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 1.165492 .8415503 1.38 0.166 -.4857165 2.816701 + | + v2 | + 102 | 3.711739 3.158564 1.18 0.240 -2.48569 9.909168 + 103 | -4.402286 2.070284 -2.13 0.034 -8.464398 -.3401744 + 104 | -8.378125 2.228102 -3.76 0.000 -12.74989 -4.006359 + 105 | -6.129283 2.338053 -2.62 0.009 -10.71679 -1.541781 + 106 | -1.723549 2.239098 -0.77 0.442 -6.116891 2.669793 + 107 | -3.490985 2.075546 -1.68 0.093 -7.563421 .5814505 + 108 | -4.913627 2.871864 -1.71 0.087 -10.54852 .7212676 + 109 | -6.104703 2.106961 -2.90 0.004 -10.23878 -1.970628 + 110 | -14.91732 2.405323 -6.20 0.000 -19.63681 -10.19783 + 111 | -12.30706 2.354024 -5.23 0.000 -16.9259 -7.688217 + | + minor | + 101 | 6.277414 4.848868 1.29 0.196 -3.236567 15.79139 + 103 | 4.425739 3.234389 1.37 0.171 -1.920467 10.77195 + 104 | 30.98537 12.00112 2.58 0.010 7.437929 54.53281 + 105 | 1.485644 2.405043 0.62 0.537 -3.233299 6.204587 + 107 | 10.13232 2.628312 3.86 0.000 4.975302 15.28934 + 108 | 12.23813 9.058995 1.35 0.177 -5.536559 30.01281 + 110 | 1.203401 3.302783 0.36 0.716 -5.277001 7.683802 + 200 | 21.91818 10.78395 2.03 0.042 .7589498 43.07741 + 202 | 14.66665 12.15485 1.21 0.228 -9.18242 38.51572 + 204 | 4.501239 3.402584 1.32 0.186 -2.174984 11.17746 + 205 | 36.39297 8.717313 4.17 0.000 19.2887 53.49724 + 206 | 11.82235 4.108011 2.88 0.004 3.762011 19.8827 + 207 | 4.666288 2.741238 1.70 0.089 -.7123046 10.04488 + 208 | 13.04478 5.799454 2.25 0.025 1.665653 24.42391 + 209 | -.0543857 3.108507 -0.02 0.986 -6.153598 6.044826 + 299 | 7.042616 3.45284 2.04 0.042 .2677863 13.81745 + 300 | 34.61002 6.248673 5.54 0.000 22.34948 46.87057 + 301 | 15.76456 4.101076 3.84 0.000 7.717827 23.8113 + 302 | 22.10372 3.679573 6.01 0.000 14.88402 29.32342 + 321 | 27.4422 6.765136 4.06 0.000 14.1683 40.71609 + 322 | 20.9652 4.307955 4.87 0.000 12.51255 29.41786 + 323 | 15.52703 4.245818 3.66 0.000 7.196295 23.85776 + 324 | 6.464524 4.333324 1.49 0.136 -2.037906 14.96695 + 325 | 25.43212 6.42672 3.96 0.000 12.82223 38.042 + 331 | 39.44759 4.293815 9.19 0.000 31.02268 47.8725 + 332 | 43.30062 5.785149 7.48 0.000 31.94956 54.65168 + 333 | 32.72597 13.59071 2.41 0.016 6.059586 59.39235 + 334 | 36.01671 7.89259 4.56 0.000 20.53063 51.50279 + 335 | 14.30315 5.026989 2.85 0.005 4.439683 24.16663 + 336 | 31.69491 5.54485 5.72 0.000 20.81534 42.57448 + 341 | 18.83566 8.006427 2.35 0.019 3.126223 34.5451 + 342 | 47.90895 10.87199 4.41 0.000 26.57698 69.24092 + 343 | 1.527011 3.428886 0.45 0.656 -5.200818 8.25484 + 344 | 52.31803 7.647941 6.84 0.000 37.31198 67.32409 + 398 | 25.86146 9.464687 2.73 0.006 7.290766 44.43216 + 399 | 22.56763 12.51972 1.80 0.072 -1.997356 47.13262 + 400 | 17.04953 4.871442 3.50 0.000 7.491255 26.6078 + 401 | 16.19438 5.750711 2.82 0.005 4.910892 27.47787 + 402 | 17.55592 4.059763 4.32 0.000 9.590242 25.52159 + 403 | 15.43968 5.41698 2.85 0.004 4.811001 26.06835 + 404 | 20.66855 3.599458 5.74 0.000 13.60604 27.73106 + 405 | 23.87694 6.480959 3.68 0.000 11.16063 36.59325 + 498 | 17.33067 6.976835 2.48 0.013 3.6414 31.01994 + 499 | 11.04558 4.095299 2.70 0.007 3.010182 19.08098 + 500 | 9.196482 6.451546 1.43 0.154 -3.462119 21.85508 + 501 | 6.07004 7.898545 0.77 0.442 -9.427724 21.5678 + 502 | 31.98888 9.844407 3.25 0.001 12.67314 51.30463 + 503 | 13.13312 4.762026 2.76 0.006 3.789537 22.47671 + 504 | 41.22177 14.36673 2.87 0.004 13.03276 69.41078 + 505 | 3.447211 3.168304 1.09 0.277 -2.769329 9.66375 + 506 | 20.61271 5.416917 3.81 0.000 9.984153 31.24126 + 508 | 24.79535 8.270769 3.00 0.003 8.567249 41.02346 + 529 | 11.15302 7.500404 1.49 0.137 -3.563552 25.86958 + 530 | 11.66297 3.64637 3.20 0.001 4.508411 18.81752 + 599 | 9.504533 3.508655 2.71 0.007 2.62019 16.38888 + 600 | 4.562827 3.665657 1.24 0.213 -2.629572 11.75523 + 601 | 23.50436 6.342354 3.71 0.000 11.06 35.94871 + 602 | 17.05321 5.042913 3.38 0.001 7.158494 26.94793 + 603 | 39.78322 9.128808 4.36 0.000 21.87155 57.69488 + 604 | 22.05351 6.027714 3.66 0.000 10.22651 33.88051 + 606 | 10.68108 5.104416 2.09 0.037 .6656836 20.69647 + 607 | 13.21544 7.947484 1.66 0.097 -2.378348 28.80922 + 609 | 10.86655 10.83403 1.00 0.316 -10.39094 32.12404 + 698 | 5.64743 20.24413 0.28 0.780 -34.07365 45.36851 + 699 | 1.704885 5.118242 0.33 0.739 -8.337635 11.7474 + 700 | 5.854254 4.958641 1.18 0.238 -3.875113 15.58362 + 701 | 18.49183 8.076928 2.29 0.022 2.644063 34.3396 + 703 | 6.273623 3.745207 1.68 0.094 -1.074859 13.62211 + 704 | 12.38041 5.614551 2.21 0.028 1.364078 23.39674 + 705 | 4.489767 4.725526 0.95 0.342 -4.782205 13.76174 + 707 | 34.23121 7.742997 4.42 0.000 19.03865 49.42377 + 708 | 23.93014 11.11139 2.15 0.031 2.12843 45.73184 + 709 | 9.368746 3.045679 3.08 0.002 3.39281 15.34468 + 710 | 11.56082 4.732698 2.44 0.015 2.274776 20.84686 + 711 | 22.06043 6.571543 3.36 0.001 9.166387 34.95448 + 798 | 9.538658 8.37357 1.14 0.255 -6.891153 25.96847 + 799 | 29.08697 3.905866 7.45 0.000 21.42326 36.75068 + 800 | 4.551326 5.291267 0.86 0.390 -5.830687 14.93334 + 801 | 7.474474 4.974416 1.50 0.133 -2.285844 17.23479 + 802 | 10.55106 4.284857 2.46 0.014 2.143723 18.95839 + 803 | 8.879849 3.851107 2.31 0.021 1.323579 16.43612 + 805 | .8332353 4.088389 0.20 0.839 -7.188606 8.855077 + 806 | 18.82941 5.203154 3.62 0.000 8.620287 29.03854 + 807 | 19.54334 5.548269 3.52 0.000 8.657063 30.42962 + 898 | -7.557179 3.893227 -1.94 0.052 -15.19609 .0817354 + 899 | 11.72786 13.86359 0.85 0.398 -15.47394 38.92965 + 1000 | 10.48786 4.096459 2.56 0.011 2.450179 18.52553 + 1001 | 19.35925 6.003283 3.22 0.001 7.580192 31.13831 + 1002 | 16.53749 5.312307 3.11 0.002 6.11419 26.96078 + 1003 | 17.18949 4.542063 3.78 0.000 8.27749 26.10148 + 1005 | 11.42984 6.20575 1.84 0.066 -.7464803 23.60617 + 1006 | 27.72657 6.387479 4.34 0.000 15.19368 40.25946 + 1007 | 5.379983 3.893086 1.38 0.167 -2.258654 13.01862 + 1010 | -1.40978 3.919867 -0.36 0.719 -9.100965 6.281405 + 1098 | -14.39516 12.8494 -1.12 0.263 -39.607 10.81668 + 1099 | 17.57776 14.47719 1.21 0.225 -10.82799 45.9835 + 1200 | 9.398478 8.318087 1.13 0.259 -6.922469 25.71942 + 1201 | 22.13824 4.906833 4.51 0.000 12.51053 31.76595 + 1202 | 18.325 6.486455 2.83 0.005 5.597902 31.05209 + 1203 | 6.828446 3.474906 1.97 0.050 .0103209 13.64657 + 1204 | 13.83379 5.02644 2.75 0.006 3.971392 23.69618 + 1205 | 5.675624 4.034489 1.41 0.160 -2.240461 13.59171 + 1206 | 27.4605 5.585457 4.92 0.000 16.50126 38.41975 + 1207 | 19.95632 4.541845 4.39 0.000 11.04475 28.86789 + 1208 | 25.35405 7.752992 3.27 0.001 10.14187 40.56622 + 1209 | 18.4714 4.733722 3.90 0.000 9.183351 27.75946 + 1210 | 12.42865 3.634851 3.42 0.001 5.296692 19.5606 + 1211 | 19.4133 4.963263 3.91 0.000 9.674866 29.15174 + 1299 | 12.06725 9.578612 1.26 0.208 -6.726979 30.86148 + 1300 | 4.854605 3.72117 1.30 0.192 -2.446714 12.15593 + 1301 | 17.75886 7.273602 2.44 0.015 3.487297 32.03042 + 1302 | 15.93512 4.577596 3.48 0.001 6.953407 24.91684 + 1303 | 19.9615 3.986581 5.01 0.000 12.13942 27.78359 + 1304 | 37.41317 7.244476 5.16 0.000 23.19875 51.62758 + 1305 | 11.60878 13.53188 0.86 0.391 -14.94217 38.15973 + 1399 | 15.42446 17.20289 0.90 0.370 -18.32939 49.17832 + 1400 | 12.99427 3.890528 3.34 0.001 5.360647 20.62789 + 1401 | 19.85675 5.252041 3.78 0.000 9.551706 30.1618 + 1403 | 37.65912 5.673365 6.64 0.000 26.52739 48.79085 + 1404 | 17.01702 8.616367 1.97 0.049 .1108126 33.92322 + 1405 | 27.58873 8.634895 3.20 0.001 10.64618 44.53129 + 1406 | 16.13989 8.262279 1.95 0.051 -.0715563 32.35134 + 1407 | 27.4167 8.914902 3.08 0.002 9.924742 44.90866 + 1408 | 29.38191 13.36683 2.20 0.028 3.154794 55.60902 + 1409 | 47.59378 8.195411 5.81 0.000 31.51354 63.67402 + 1410 | 29.82457 6.37139 4.68 0.000 17.32324 42.32589 + 1499 | 8.46653 7.899212 1.07 0.284 -7.032542 23.9656 + 1500 | 13.74756 5.60581 2.45 0.014 2.748383 24.74674 + 1501 | 20.73828 4.297444 4.83 0.000 12.30625 29.17031 + 1502 | 14.60558 6.124328 2.38 0.017 2.58902 26.62215 + 1504 | 20.23437 4.304757 4.70 0.000 11.78799 28.68075 + 1505 | 28.28306 6.166536 4.59 0.000 16.18368 40.38244 + 1507 | 21.20832 8.740699 2.43 0.015 4.05816 38.35847 + 1520 | 4.655984 6.570882 0.71 0.479 -8.236766 17.54873 + 1521 | 14.34239 5.638944 2.54 0.011 3.278204 25.40659 + 1522 | 21.82698 4.381679 4.98 0.000 13.22968 30.42429 + 1523 | 20.69331 4.264768 4.85 0.000 12.32539 29.06122 + 1524 | 27.14082 10.99718 2.47 0.014 5.56321 48.71844 + 1525 | 31.35191 5.666722 5.53 0.000 20.23321 42.4706 + 1526 | 26.62298 7.032014 3.79 0.000 12.82544 40.42051 + 1599 | 19.10036 5.365646 3.56 0.000 8.57241 29.62831 + 1600 | 19.02829 8.979723 2.12 0.034 1.409141 36.64743 + 1602 | -4.482782 5.498488 -0.82 0.415 -15.27139 6.305821 + 1603 | 7.166536 7.384281 0.97 0.332 -7.322187 21.65526 + 1604 | 26.35286 7.963241 3.31 0.001 10.72816 41.97756 + 1605 | 7.642698 5.827363 1.31 0.190 -3.791191 19.07659 + 1606 | -14.13032 4.047321 -3.49 0.000 -22.07158 -6.189058 + 1608 | 18.40824 4.220631 4.36 0.000 10.12693 26.68955 + 1609 | 9.971749 3.941507 2.53 0.012 2.238105 17.70539 + 1610 | 23.38886 6.19916 3.77 0.000 11.22546 35.55225 + 1611 | 8.856318 6.055599 1.46 0.144 -3.025393 20.73803 + 1612 | 23.50978 4.310163 5.45 0.000 15.05279 31.96676 + 1614 | -2.142346 6.428325 -0.33 0.739 -14.75539 10.47069 + 1615 | 11.62066 3.751523 3.10 0.002 4.259787 18.98154 + 1616 | 9.22067 7.345041 1.26 0.210 -5.19106 23.6324 + 1617 | 23.48836 9.152887 2.57 0.010 5.529451 41.44727 + 1619 | 12.137 7.638853 1.59 0.112 -2.851219 27.12522 + 1620 | 50.4538 4.350618 11.60 0.000 41.91744 58.99016 + 1698 | 12.23916 10.22881 1.20 0.232 -7.830831 32.30915 + 1699 | 20.43072 5.74063 3.56 0.000 9.167014 31.69444 + 1700 | 39.82701 11.28286 3.53 0.000 17.68887 61.96516 + 1701 | 13.52845 7.486688 1.81 0.071 -1.161207 28.21811 + 1704 | 6.817144 7.933439 0.86 0.390 -8.749085 22.38337 + 1705 | -6.530772 12.09517 -0.54 0.589 -30.26275 17.2012 + 1706 | 14.25 5.080017 2.81 0.005 4.282481 24.21752 + 1707 | 24.22148 3.945462 6.14 0.000 16.48007 31.96288 + 1708 | 10.36155 7.168147 1.45 0.149 -3.7031 24.42619 + 1709 | 22.76239 6.09848 3.73 0.000 10.79655 34.72824 + 1798 | 21.06241 10.49628 2.01 0.045 .467622 41.6572 + 1799 | -8.065481 5.159016 -1.56 0.118 -18.188 2.057041 + 1800 | 14.24585 6.602031 2.16 0.031 1.291981 27.19971 + 1802 | 17.14457 4.804527 3.57 0.000 7.717588 26.57155 + 1803 | 32.83573 4.879712 6.73 0.000 23.26123 42.41023 + 1804 | 27.31469 11.25447 2.43 0.015 5.232254 49.39713 + 1806 | 16.04933 6.722198 2.39 0.017 2.859686 29.23898 + 1807 | 2.329679 2.687462 0.87 0.386 -2.943399 7.602758 + 1808 | -1.940305 3.132281 -0.62 0.536 -8.086165 4.205555 + 1899 | 9.665119 9.777349 0.99 0.323 -9.519051 28.84929 + 1900 | 23.70761 8.530271 2.78 0.006 6.970335 40.44488 + 1901 | 27.32362 5.234508 5.22 0.000 17.05297 37.59426 + 1902 | 25.55681 8.071878 3.17 0.002 9.718951 41.39467 + 1905 | -15.95562 4.687873 -3.40 0.001 -25.15372 -6.757533 + 1906 | 9.972083 3.52903 2.83 0.005 3.047761 16.8964 + 1907 | 9.123764 10.15543 0.90 0.369 -10.80225 29.04978 + 1908 | 42.45465 17.23046 2.46 0.014 8.646709 76.26259 + 1910 | 61.83608 8.104175 7.63 0.000 45.93485 77.73731 + 1911 | 37.13971 19.15303 1.94 0.053 -.4405131 74.71994 + 1914 | 35.84469 13.01238 2.75 0.006 10.31306 61.37632 + 1919 | 24.91391 8.16477 3.05 0.002 8.893783 40.93403 + 1920 | 30.39277 6.382044 4.76 0.000 17.87054 42.91501 + 1925 | 26.37754 9.771302 2.70 0.007 7.205235 45.54985 + 1926 | 9.463631 4.665981 2.03 0.043 .3084929 18.61877 + 1927 | 18.63682 4.01674 4.64 0.000 10.75556 26.51808 + 1929 | 14.99711 6.458844 2.32 0.020 2.324192 27.67003 + 1999 | 18.86325 13.11291 1.44 0.151 -6.865638 44.59215 + 2000 | 7.818907 4.694382 1.67 0.096 -1.391957 17.02977 + 2001 | 10.94684 5.896857 1.86 0.064 -.6234043 22.51708 + 2002 | 8.148075 3.942767 2.07 0.039 .4119572 15.88419 + 2003 | 21.89483 7.164769 3.06 0.002 7.836814 35.95285 + 2004 | 13.48123 4.496109 3.00 0.003 4.659397 22.30306 + 2005 | -5.765139 4.55703 -1.27 0.206 -14.7065 3.176226 + 2006 | 35.05945 3.534259 9.92 0.000 28.12487 41.99403 + 2007 | 11.50992 6.205974 1.85 0.064 -.6668401 23.68669 + 2008 | 27.05929 3.466132 7.81 0.000 20.25838 33.8602 + 2009 | 4.444524 3.837203 1.16 0.247 -3.084466 11.97351 + 2011 | 10.62468 3.078226 3.45 0.001 4.584886 16.66448 + 2012 | 13.48139 4.074899 3.31 0.001 5.486016 21.47677 + 2013 | .311023 4.377499 0.07 0.943 -8.278082 8.900128 + 2014 | 6.824827 5.982939 1.14 0.254 -4.914318 18.56397 + 2015 | 22.78784 7.456025 3.06 0.002 8.158347 37.41733 + 2030 | 5.017633 17.51052 0.29 0.775 -29.33983 39.37509 + 2099 | 26.88495 9.110838 2.95 0.003 9.008541 44.76136 + 2100 | .7485941 3.300877 0.23 0.821 -5.728069 7.225257 + 2101 | 13.18928 3.246558 4.06 0.000 6.819201 19.55937 + 2102 | 20.97051 3.619965 5.79 0.000 13.86777 28.07326 + 2103 | 8.64532 3.118219 2.77 0.006 2.527052 14.76359 + 2104 | 11.41641 3.534271 3.23 0.001 4.481806 18.35102 + 2105 | 3.258024 6.574776 0.50 0.620 -9.642368 16.15841 + 2199 | 24.79173 11.06761 2.24 0.025 3.075943 46.50752 + 9999 | 10.33004 3.572364 2.89 0.004 3.320692 17.33939 + | + house_administration | -10.39939 1.941654 -5.36 0.000 -14.20912 -6.589665 + house_agriculture | 5.553931 1.685962 3.29 0.001 2.245899 8.861963 + house_appropriations | -3.437355 2.176923 -1.58 0.115 -7.708702 .8339934 + house_armedservices | -.8279791 3.079477 -0.27 0.788 -6.870232 5.214274 + house_budget | 9.909658 3.118501 3.18 0.002 3.790836 16.02848 + house_dc | 32.45168 8.618896 3.77 0.000 15.54052 49.36285 + house_educlabor | -1.180175 2.307426 -0.51 0.609 -5.707584 3.347234 + house_energycommerce | 5.251475 1.879141 2.79 0.005 1.564407 8.938543 + house_foreignaffairs | 2.223678 2.701306 0.82 0.411 -3.076563 7.523919 + house_governmentop | 2.702698 3.052985 0.89 0.376 -3.287575 8.692971 + house_intelligence | 21.544 7.120487 3.03 0.003 7.572868 35.51513 + house_interior | -6.28695 3.638255 -1.73 0.084 -13.42558 .8516834 + house_judiciary | -2.340872 1.651804 -1.42 0.157 -5.581881 .900138 + house_mmf | 6.304019 4.355348 1.45 0.148 -2.241625 14.84966 + house_pocs | 10.3557 4.84614 2.14 0.033 .8470682 19.86432 + house_pwt | -5.084494 4.600309 -1.11 0.269 -14.11078 3.941789 + house_rules | -6.309834 2.158602 -2.92 0.004 -10.54523 -2.074434 + house_sst | 13.44449 8.157289 1.65 0.100 -2.560952 29.44994 + house_smallbusi | 1.004824 7.600354 0.13 0.895 -13.90786 15.9175 + house_soc | -5.528703 7.695747 -0.72 0.473 -20.62856 9.571149 + house_veterans | 5.884606 2.102456 2.80 0.005 1.759371 10.00984 + house_waysandmeans | -3.104473 1.321637 -2.35 0.019 -5.697662 -.5112846 +house_naturalresources | 2.913687 2.206709 1.32 0.187 -1.416105 7.243479 + house_bfs | -.430372 2.381893 -0.18 0.857 -5.103892 4.243148 + house_eeo | -5.313774 2.901589 -1.83 0.067 -11.00699 .3794441 + house_govreform | -.4384804 2.819151 -0.16 0.876 -5.969946 5.092985 + house_ir | -8.833057 2.503257 -3.53 0.000 -13.74471 -3.921409 + house_natsecur | 4.630843 2.771251 1.67 0.095 -.8066381 10.06832 + house_oversight | 2.962884 2.458371 1.21 0.228 -1.860694 7.786462 + house_resources | -4.644499 1.521669 -3.05 0.002 -7.630172 -1.658826 + house_science | 7.195047 3.449156 2.09 0.037 .4274458 13.96265 + house_transp | -.4761199 1.729861 -0.28 0.783 -3.870286 2.918047 + house_homeland | -1.497075 2.628876 -0.57 0.569 -6.655201 3.661052 + _cons | 8.49996 2.926778 2.90 0.004 2.757319 14.2426 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,111 1 0 1 1 + + +j = 5 k = 1 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11989 +----------------------+---------------------- NN matches = 3 + Number of obs | 6150 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 15.71586 27.17455 .5783301 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(7,341 missing values generated) +(54,749 missing values generated) +(47,408 real changes made) +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* [aw=wt] if tag_bill==1 & tenured==0, robust cluster(group_sponsor) +(sum of wgt is 40,268.2060945034) + +Linear regression Number of obs = 21,527 + F(265, 2125) = . + Prob > F = . + R-squared = 0.0986 + Root MSE = 19.321 + + (Std. Err. adjusted for 2,126 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -1.135339 .6538997 -1.74 0.083 -2.417689 .1470112 + | + v2 | + 102 | .5135096 1.803941 0.28 0.776 -3.024164 4.051183 + 103 | -4.35394 1.361875 -3.20 0.001 -7.024687 -1.683193 + 104 | -4.424067 1.394758 -3.17 0.002 -7.159301 -1.688833 + 105 | -4.013102 1.457755 -2.75 0.006 -6.871877 -1.154327 + 106 | -1.790747 1.591827 -1.12 0.261 -4.912449 1.330956 + 107 | -2.224168 1.487117 -1.50 0.135 -5.140525 .6921885 + 108 | -3.884521 1.607386 -2.42 0.016 -7.036735 -.732307 + 109 | -2.628918 1.446549 -1.82 0.069 -5.465719 .2078827 + 110 | -5.989333 1.307241 -4.58 0.000 -8.552939 -3.425727 + 111 | -7.361746 1.435879 -5.13 0.000 -10.17762 -4.545871 + | + minor | + 101 | 1.264402 5.190439 0.24 0.808 -8.91447 11.44327 + 103 | -4.639189 2.475398 -1.87 0.061 -9.493645 .2152664 + 104 | 16.02585 9.688776 1.65 0.098 -2.97463 35.02632 + 105 | .1084038 2.547642 0.04 0.966 -4.887729 5.104536 + 107 | 2.518003 2.609003 0.97 0.335 -2.598463 7.634468 + 108 | 5.745564 4.381839 1.31 0.190 -2.847577 14.33871 + 110 | -2.596591 3.388768 -0.77 0.444 -9.242239 4.049058 + 200 | 6.908144 7.278237 0.95 0.343 -7.365068 21.18136 + 201 | -4.97749 3.657897 -1.36 0.174 -12.15092 2.195942 + 202 | 10.20356 5.363374 1.90 0.057 -.3144525 20.72157 + 204 | -.8153558 4.007824 -0.20 0.839 -8.675023 7.044311 + 205 | 3.999184 6.213666 0.64 0.520 -8.186319 16.18469 + 206 | -.9122784 3.064735 -0.30 0.766 -6.922471 5.097915 + 207 | -.9404631 2.705133 -0.35 0.728 -6.245448 4.364522 + 208 | 1.787713 2.822221 0.63 0.527 -3.74689 7.322317 + 209 | -9.023956 2.725796 -3.31 0.001 -14.36946 -3.67845 + 299 | -.9040499 2.876739 -0.31 0.753 -6.545568 4.737468 + 300 | 12.47776 5.782203 2.16 0.031 1.138396 23.81713 + 301 | 7.575231 3.218444 2.35 0.019 1.263601 13.88686 + 302 | 9.281634 3.124816 2.97 0.003 3.153617 15.40965 + 321 | 9.895719 3.702073 2.67 0.008 2.635654 17.15578 + 322 | 7.90069 2.976559 2.65 0.008 2.063417 13.73796 + 323 | 10.40279 4.183192 2.49 0.013 2.19921 18.60637 + 324 | 2.50293 3.296101 0.76 0.448 -3.96099 8.96685 + 325 | 7.572496 3.258491 2.32 0.020 1.18233 13.96266 + 331 | 15.80585 4.52269 3.49 0.000 6.936491 24.67521 + 332 | 10.18873 3.949871 2.58 0.010 2.442717 17.93475 + 333 | 8.616843 4.002448 2.15 0.031 .7677179 16.46597 + 334 | 15.28679 4.048598 3.78 0.000 7.347165 23.22642 + 335 | 1.667417 3.345728 0.50 0.618 -4.893827 8.228662 + 336 | 9.40082 3.585495 2.62 0.009 2.369373 16.43227 + 341 | 9.28018 5.055824 1.84 0.067 -.6347001 19.19506 + 342 | 21.38352 7.42865 2.88 0.004 6.815334 35.9517 + 343 | -.1034242 3.210073 -0.03 0.974 -6.398638 6.191789 + 344 | 2.275692 6.928978 0.33 0.743 -11.31259 15.86398 + 398 | 12.05251 3.553073 3.39 0.001 5.084647 19.02037 + 399 | 8.796212 5.739847 1.53 0.126 -2.460093 20.05252 + 400 | 5.123806 3.46219 1.48 0.139 -1.66583 11.91344 + 401 | 17.97935 5.455437 3.30 0.001 7.280796 28.6779 + 402 | 4.321179 3.191949 1.35 0.176 -1.938492 10.58085 + 403 | 11.03164 6.568387 1.68 0.093 -1.849502 23.91277 + 404 | 14.70715 3.642903 4.04 0.000 7.563122 21.85118 + 405 | 12.82549 8.020755 1.60 0.110 -2.903863 28.55484 + 498 | 4.247304 3.482317 1.22 0.223 -2.581802 11.07641 + 499 | 6.645228 4.735967 1.40 0.161 -2.642387 15.93284 + 500 | 1.574795 3.67287 0.43 0.668 -5.628 8.777591 + 501 | 6.57407 4.262817 1.54 0.123 -1.785659 14.9338 + 502 | 11.54304 4.81261 2.40 0.017 2.105127 20.98096 + 503 | 3.920536 2.516716 1.56 0.119 -1.014948 8.856021 + 504 | 4.489357 7.078431 0.63 0.526 -9.392019 18.37073 + 505 | 4.609666 3.211467 1.44 0.151 -1.688282 10.90761 + 506 | 4.966047 4.351773 1.14 0.254 -3.568133 13.50023 + 508 | 5.426659 3.803853 1.43 0.154 -2.033004 12.88632 + 529 | 8.923812 6.277621 1.42 0.155 -3.387112 21.23474 + 530 | 5.264477 2.704964 1.95 0.052 -.0401769 10.56913 + 599 | -2.163603 3.77248 -0.57 0.566 -9.561742 5.234535 + 600 | .6086687 2.837901 0.21 0.830 -4.956686 6.174023 + 601 | 11.27289 3.939393 2.86 0.004 3.547418 18.99836 + 602 | 3.769215 2.733658 1.38 0.168 -1.591709 9.130139 + 603 | 9.259049 3.862129 2.40 0.017 1.685102 16.833 + 604 | 1.125285 3.814089 0.30 0.768 -6.354452 8.605022 + 606 | 1.288535 3.135127 0.41 0.681 -4.859702 7.436773 + 607 | 2.431285 2.812501 0.86 0.387 -3.084256 7.946827 + 609 | 12.03178 6.785894 1.77 0.076 -1.275904 25.33947 + 698 | 1.816918 6.85482 0.27 0.791 -11.62594 15.25978 + 699 | -.0479168 3.490403 -0.01 0.989 -6.892879 6.797045 + 700 | 1.112221 3.904896 0.28 0.776 -6.545597 8.770038 + 701 | 8.83201 5.078391 1.74 0.082 -1.127126 18.79115 + 703 | 3.69969 3.73039 0.99 0.321 -3.615908 11.01529 + 704 | .7526434 2.852747 0.26 0.792 -4.841825 6.347112 + 705 | 5.683816 3.6945 1.54 0.124 -1.561398 12.92903 + 707 | 9.839964 7.687442 1.28 0.201 -5.235731 24.91566 + 708 | -.0686225 4.070723 -0.02 0.987 -8.051641 7.914396 + 709 | 7.501771 3.391117 2.21 0.027 .8515163 14.15203 + 710 | 14.8537 3.458073 4.30 0.000 8.072138 21.63526 + 711 | 10.7294 3.797278 2.83 0.005 3.28263 18.17617 + 798 | 11.22198 5.471855 2.05 0.040 .4912274 21.95273 + 799 | 23.20617 3.850809 6.03 0.000 15.65443 30.75792 + 800 | 3.539428 3.200171 1.11 0.269 -2.736366 9.815223 + 801 | 10.83933 4.055429 2.67 0.008 2.88631 18.79236 + 802 | 5.979564 3.643197 1.64 0.101 -1.16504 13.12417 + 803 | 5.315361 2.944577 1.81 0.071 -.459194 11.08992 + 805 | -1.961272 3.064285 -0.64 0.522 -7.970583 4.048039 + 806 | 10.7782 2.922284 3.69 0.000 5.04736 16.50903 + 807 | 7.99688 3.539788 2.26 0.024 1.055068 14.93869 + 898 | .2993493 4.876424 0.06 0.951 -9.263713 9.862412 + 899 | .5250047 6.594642 0.08 0.937 -12.40762 13.45763 + 1000 | 5.372849 4.098234 1.31 0.190 -2.664119 13.40982 + 1001 | 4.459848 3.985441 1.12 0.263 -3.355925 12.27562 + 1002 | 4.639984 3.280072 1.41 0.157 -1.792503 11.07247 + 1003 | 9.334094 3.187663 2.93 0.003 3.082829 15.58536 + 1005 | 6.71004 4.940745 1.36 0.175 -2.979161 16.39924 + 1006 | 12.58254 3.73358 3.37 0.001 5.260688 19.90439 + 1007 | 6.746282 3.257966 2.07 0.039 .3571461 13.13542 + 1010 | -2.981217 2.87921 -1.04 0.301 -8.627582 2.665148 + 1098 | -8.419946 5.793499 -1.45 0.146 -19.78147 2.941575 + 1099 | 15.85052 14.65825 1.08 0.280 -12.8955 44.59653 + 1200 | 6.884241 5.826616 1.18 0.238 -4.542224 18.31071 + 1201 | 9.651781 3.611401 2.67 0.008 2.56953 16.73403 + 1202 | 5.156727 5.949351 0.87 0.386 -6.510433 16.82389 + 1203 | 5.998802 2.988037 2.01 0.045 .1390194 11.85859 + 1204 | 4.896751 3.081375 1.59 0.112 -1.146075 10.93958 + 1205 | 7.209683 4.180355 1.72 0.085 -.9883321 15.4077 + 1206 | 8.485695 5.49638 1.54 0.123 -2.293151 19.26454 + 1207 | 13.10508 3.6316 3.61 0.000 5.983219 20.22694 + 1208 | 10.57795 3.848359 2.75 0.006 3.031007 18.12489 + 1209 | 7.627029 3.361785 2.27 0.023 1.034296 14.21976 + 1210 | 7.691752 3.126223 2.46 0.014 1.560976 13.82253 + 1211 | 7.443455 3.396485 2.19 0.029 .7826726 14.10424 + 1299 | 1.440195 5.219318 0.28 0.783 -8.795311 11.6757 + 1300 | 2.742922 3.584178 0.77 0.444 -4.285942 9.771786 + 1301 | 4.04868 3.607748 1.12 0.262 -3.026405 11.12377 + 1302 | .6441024 3.166396 0.20 0.839 -5.565457 6.853662 + 1303 | 7.264861 2.828873 2.57 0.010 1.717212 12.81251 + 1304 | 11.93033 4.142321 2.88 0.004 3.806904 20.05376 + 1305 | 22.34702 8.524765 2.62 0.009 5.629261 39.06477 + 1399 | 8.155015 6.310729 1.29 0.196 -4.220835 20.53087 + 1400 | 5.030832 2.988999 1.68 0.092 -.8308372 10.8925 + 1401 | 7.549666 3.306217 2.28 0.023 1.065907 14.03342 + 1403 | 14.30782 4.975874 2.88 0.004 4.549728 24.06591 + 1404 | 1.359219 5.926092 0.23 0.819 -10.26233 12.98077 + 1405 | 17.91351 5.52051 3.24 0.001 7.087347 28.73968 + 1406 | 4.509961 3.819127 1.18 0.238 -2.979657 11.99958 + 1407 | 12.26638 5.616703 2.18 0.029 1.251575 23.28119 + 1408 | 21.42746 11.33076 1.89 0.059 -.7930772 43.648 + 1409 | 19.02875 6.515598 2.92 0.004 6.251133 31.80636 + 1410 | 15.60214 4.068228 3.84 0.000 7.624017 23.58027 + 1499 | 6.533574 7.25159 0.90 0.368 -7.687382 20.75453 + 1500 | 6.195476 4.398136 1.41 0.159 -2.429626 14.82058 + 1501 | 10.23159 3.066992 3.34 0.001 4.21697 16.24621 + 1502 | 2.760389 2.813636 0.98 0.327 -2.757378 8.278157 + 1504 | 3.47577 2.914105 1.19 0.233 -2.239025 9.190565 + 1505 | 14.86165 4.619844 3.22 0.001 5.801761 23.92154 + 1507 | 7.833159 6.600242 1.19 0.235 -5.11045 20.77677 + 1520 | 3.766725 4.732403 0.80 0.426 -5.513901 13.04735 + 1521 | 7.26978 2.930881 2.48 0.013 1.522085 13.01747 + 1522 | 14.37787 3.988203 3.61 0.000 6.556682 22.19906 + 1523 | 12.65096 3.497288 3.62 0.000 5.792498 19.50943 + 1524 | 22.64327 9.616734 2.35 0.019 3.78408 41.50247 + 1525 | 9.540312 4.299587 2.22 0.027 1.108475 17.97215 + 1526 | 12.64686 4.685734 2.70 0.007 3.457755 21.83596 + 1599 | 12.35149 4.534746 2.72 0.007 3.45849 21.2445 + 1600 | 1.521709 3.813874 0.40 0.690 -5.957608 9.001025 + 1602 | -2.945642 3.696254 -0.80 0.426 -10.1943 4.303012 + 1603 | 6.056754 5.795829 1.05 0.296 -5.309336 17.42284 + 1604 | 1.46521 5.25257 0.28 0.780 -8.835505 11.76592 + 1605 | 2.015723 3.296743 0.61 0.541 -4.449458 8.480903 + 1606 | -.46378 4.611942 -0.10 0.920 -9.508171 8.580611 + 1608 | 10.33645 2.866351 3.61 0.000 4.715307 15.9576 + 1609 | 9.491917 3.111181 3.05 0.002 3.390639 15.5932 + 1610 | 7.19273 4.343883 1.66 0.098 -1.325977 15.71144 + 1611 | 1.540759 3.550849 0.43 0.664 -5.422744 8.504262 + 1612 | 14.70232 3.826489 3.84 0.000 7.198267 22.20637 + 1614 | 2.436958 3.95173 0.62 0.538 -5.312704 10.18662 + 1615 | 5.666612 3.332277 1.70 0.089 -.8682536 12.20148 + 1616 | 3.842025 3.954485 0.97 0.331 -3.913041 11.59709 + 1617 | .5512849 4.279773 0.13 0.898 -7.841696 8.944266 + 1619 | 2.216639 4.634599 0.48 0.632 -6.872185 11.30546 + 1620 | 25.29101 6.922967 3.65 0.000 11.71452 38.86751 + 1698 | 5.418389 6.010753 0.90 0.367 -6.369185 17.20596 + 1699 | 15.37683 4.229031 3.64 0.000 7.083362 23.6703 + 1700 | 9.900647 5.114929 1.94 0.053 -.1301437 19.93144 + 1701 | 14.51401 5.025503 2.89 0.004 4.658587 24.36942 + 1704 | 24.14678 10.38347 2.33 0.020 3.78395 44.50961 + 1705 | 1.689427 8.151986 0.21 0.836 -14.29728 17.67613 + 1706 | 6.836239 3.995297 1.71 0.087 -.9988615 14.67134 + 1707 | 12.59572 3.585835 3.51 0.000 5.563609 19.62783 + 1708 | 12.94898 4.980421 2.60 0.009 3.181968 22.71599 + 1709 | 11.57576 3.884987 2.98 0.003 3.956989 19.19454 + 1798 | 13.46572 6.332394 2.13 0.034 1.047379 25.88406 + 1799 | -2.906183 5.028375 -0.58 0.563 -12.76723 6.954868 + 1800 | 3.034701 4.354198 0.70 0.486 -5.504235 11.57364 + 1802 | 4.249078 3.280174 1.30 0.195 -2.183608 10.68176 + 1803 | 14.95465 6.227196 2.40 0.016 2.74262 27.16669 + 1804 | 3.894987 4.512953 0.86 0.388 -4.955279 12.74525 + 1806 | 7.953143 4.699239 1.69 0.091 -1.262446 17.16873 + 1807 | -4.735185 2.536886 -1.87 0.062 -9.710223 .2398534 + 1808 | 17.06457 16.74246 1.02 0.308 -15.76875 49.89789 + 1899 | .0569121 7.056284 0.01 0.994 -13.78103 13.89486 + 1900 | 7.25326 5.550422 1.31 0.191 -3.631567 18.13809 + 1901 | 9.966214 3.537685 2.82 0.005 3.028527 16.9039 + 1902 | 15.23494 3.999795 3.81 0.000 7.39102 23.07886 + 1905 | .6006505 3.308452 0.18 0.856 -5.887491 7.088792 + 1906 | 5.661987 3.756458 1.51 0.132 -1.704731 13.0287 + 1907 | 3.13338 8.532183 0.37 0.713 -13.59892 19.86568 + 1908 | 8.908283 8.55899 1.04 0.298 -7.876589 25.69315 + 1909 | 6.393379 7.74692 0.83 0.409 -8.798959 21.58572 + 1910 | 35.36152 15.255 2.32 0.021 5.445231 65.2778 + 1911 | 12.74492 6.581341 1.94 0.053 -.161622 25.65146 + 1914 | 11.87282 5.928067 2.00 0.045 .2474022 23.49824 + 1919 | 10.09915 7.775121 1.30 0.194 -5.148489 25.3468 + 1920 | 13.29443 3.61325 3.68 0.000 6.208553 20.3803 + 1925 | 10.77384 5.69646 1.89 0.059 -.3973794 21.94506 + 1926 | 4.139336 4.001948 1.03 0.301 -3.708808 11.98748 + 1927 | 10.83282 4.86303 2.23 0.026 1.296026 20.36962 + 1929 | 10.58976 4.054192 2.61 0.009 2.639161 18.54036 + 1999 | 30.49885 10.02818 3.04 0.002 10.83277 50.16493 + 2000 | 2.775993 3.148615 0.88 0.378 -3.398697 8.950683 + 2001 | 4.341511 3.142287 1.38 0.167 -1.820768 10.50379 + 2002 | 6.04944 3.1875 1.90 0.058 -.2015057 12.30038 + 2003 | 9.898023 3.591327 2.76 0.006 2.855141 16.94091 + 2004 | 8.594157 2.945106 2.92 0.004 2.818565 14.36975 + 2005 | 3.054436 6.46856 0.47 0.637 -9.630934 15.73981 + 2006 | 21.67881 3.613154 6.00 0.000 14.59312 28.7645 + 2007 | -.2306333 4.74514 -0.05 0.961 -9.536238 9.074971 + 2008 | 20.79673 2.728854 7.62 0.000 15.44523 26.14823 + 2009 | 5.935431 4.432705 1.34 0.181 -2.757461 14.62832 + 2011 | 4.333775 2.915292 1.49 0.137 -1.383349 10.0509 + 2012 | 3.412128 2.977482 1.15 0.252 -2.426956 9.251211 + 2013 | -.5315416 4.911459 -0.11 0.914 -10.16331 9.100227 + 2014 | 9.467417 4.869319 1.94 0.052 -.0817118 19.01654 + 2015 | 9.858505 5.273166 1.87 0.062 -.4826015 20.19961 + 2030 | 2.695246 7.313927 0.37 0.713 -11.64796 17.03845 + 2099 | 12.80466 6.115611 2.09 0.036 .8114515 24.79787 + 2100 | -1.096496 3.112889 -0.35 0.725 -7.201124 5.008131 + 2101 | 8.922557 2.782767 3.21 0.001 3.465326 14.37979 + 2102 | 13.23616 2.947295 4.49 0.000 7.456277 19.01605 + 2103 | 5.890987 2.772395 2.12 0.034 .4540963 11.32788 + 2104 | 6.333156 2.873763 2.20 0.028 .697475 11.96884 + 2105 | 3.321152 8.129119 0.41 0.683 -12.62071 19.26301 + 2199 | 18.68579 12.74132 1.47 0.143 -6.300981 43.67256 + 9999 | 4.507275 3.349242 1.35 0.179 -2.060859 11.07541 + | + house_administration | -5.082793 1.302622 -3.90 0.000 -7.63734 -2.528246 + house_agriculture | 4.155624 1.569379 2.65 0.008 1.077944 7.233304 + house_appropriations | -4.331996 1.234357 -3.51 0.000 -6.752671 -1.911321 + house_armedservices | -1.812703 1.069586 -1.69 0.090 -3.910248 .2848427 + house_budget | -2.509979 2.557486 -0.98 0.326 -7.525417 2.505459 + house_dc | 8.146887 15.57676 0.52 0.601 -22.40041 38.69418 + house_educlabor | -3.002621 .9343344 -3.21 0.001 -4.834926 -1.170316 + house_energycommerce | -.6595395 .8629648 -0.76 0.445 -2.351883 1.032804 + house_foreignaffairs | .5586095 1.611178 0.35 0.729 -2.60104 3.718259 + house_governmentop | .3130752 2.212407 0.14 0.887 -4.025634 4.651784 + house_intelligence | 10.33964 5.013788 2.06 0.039 .507192 20.17208 + house_interior | -4.194048 1.957312 -2.14 0.032 -8.032495 -.3556007 + house_judiciary | -.2165005 .8738306 -0.25 0.804 -1.930153 1.497152 + house_mmf | -.290555 3.557138 -0.08 0.935 -7.26639 6.68528 + house_pocs | 5.301371 2.521316 2.10 0.036 .3568665 10.24588 + house_pwt | -.3019624 2.692617 -0.11 0.911 -5.582402 4.978478 + house_rules | .8104955 2.691521 0.30 0.763 -4.467796 6.088787 + house_sst | 6.384785 3.56323 1.79 0.073 -.6029981 13.37257 + house_smallbusi | -2.356649 2.425899 -0.97 0.331 -7.114034 2.400736 + house_soc | -2.315304 5.376649 -0.43 0.667 -12.85935 8.228739 + house_veterans | 1.412322 1.509795 0.94 0.350 -1.54851 4.373153 + house_waysandmeans | -.0707923 .8093751 -0.09 0.930 -1.658042 1.516458 +house_naturalresources | -1.953013 1.381898 -1.41 0.158 -4.663026 .7570006 + house_bfs | -1.83487 .9679154 -1.90 0.058 -3.73303 .0632909 + house_eeo | -2.878673 2.061757 -1.40 0.163 -6.921946 1.1646 + house_govreform | .9303886 1.122462 0.83 0.407 -1.27085 3.131627 + house_ir | -3.115984 1.454082 -2.14 0.032 -5.967556 -.2644121 + house_natsecur | 1.150594 1.822013 0.63 0.528 -2.42252 4.723708 + house_oversight | 1.71848 1.522963 1.13 0.259 -1.268173 4.705134 + house_resources | -3.130332 1.266584 -2.47 0.014 -5.614205 -.6464585 + house_science | -.165356 1.757836 -0.09 0.925 -3.612615 3.281903 + house_transp | -.5275383 1.150896 -0.46 0.647 -2.784539 1.729462 + house_homeland | -.5568436 2.210816 -0.25 0.801 -4.892433 3.778746 + _cons | 11.86937 2.677616 4.43 0.000 6.618353 17.1204 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,126 1 0 1 1 + + +j = 5 k = 2 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6186 +----------------------+---------------------- NN matches = 3 + Number of obs | 2192 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 24.47749 44.63704 .5483673 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(7,341 missing values generated) +(54,749 missing values generated) +(47,408 real changes made) +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==100 & tag_bill==1 & tenured==0, robust cluster(group_sponsor) +(sum of wgt is 20,338.2810490131) + +Linear regression Number of obs = 10,518 + F(256, 1032) = . + Prob > F = . + R-squared = 0.1142 + Root MSE = 16.763 + + (Std. Err. adjusted for 1,033 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -.2068252 .7145263 -0.29 0.772 -1.608915 1.195265 + | + v2 | + 102 | -.2813172 1.567314 -0.18 0.858 -3.356804 2.79417 + 103 | -1.903081 1.19805 -1.59 0.112 -4.253974 .4478112 + 104 | -2.06051 1.794715 -1.15 0.251 -5.582218 1.461198 + 105 | -3.706586 1.515401 -2.45 0.015 -6.680204 -.7329672 + 106 | -4.164565 1.245745 -3.34 0.001 -6.609047 -1.720084 + 107 | -3.595265 1.488801 -2.41 0.016 -6.516686 -.6738426 + 108 | -4.707175 1.139794 -4.13 0.000 -6.943752 -2.470598 + 109 | -2.879485 1.596002 -1.80 0.071 -6.011264 .2522941 + 110 | -1.452647 1.294629 -1.12 0.262 -3.993053 1.087759 + 111 | -3.116876 1.444551 -2.16 0.031 -5.951469 -.2822827 + | + minor | + 101 | -1.519025 8.547054 -0.18 0.859 -18.29061 15.25256 + 103 | -5.993517 5.157246 -1.16 0.245 -16.1134 4.126368 + 104 | -1.885628 6.818008 -0.28 0.782 -15.26437 11.49311 + 105 | -2.872202 5.592476 -0.51 0.608 -13.84612 8.101721 + 107 | -.278541 5.187332 -0.05 0.957 -10.45746 9.90038 + 108 | -.2180086 6.613423 -0.03 0.974 -13.1953 12.75928 + 110 | -14.67374 5.489595 -2.67 0.008 -25.44578 -3.901696 + 200 | -7.628491 5.227821 -1.46 0.145 -17.88686 2.629881 + 201 | -7.27268 5.692769 -1.28 0.202 -18.4434 3.898043 + 202 | -4.260674 6.128646 -0.70 0.487 -16.2867 7.765355 + 204 | 16.8362 5.321784 3.16 0.002 6.393444 27.27895 + 205 | -6.410558 5.907945 -1.09 0.278 -18.00351 5.182398 + 206 | -8.989687 5.371888 -1.67 0.095 -19.53076 1.551383 + 207 | -4.578736 5.127169 -0.89 0.372 -14.6396 5.48213 + 208 | -6.312722 5.217284 -1.21 0.227 -16.55042 3.924975 + 299 | -7.095647 6.057493 -1.17 0.242 -18.98205 4.790761 + 300 | 5.119171 8.764136 0.58 0.559 -12.07839 22.31673 + 301 | 2.714468 5.536884 0.49 0.624 -8.150368 13.5793 + 302 | 2.277724 5.78468 0.39 0.694 -9.073352 13.6288 + 321 | 1.620492 5.541625 0.29 0.770 -9.253646 12.49463 + 322 | -1.750561 5.290645 -0.33 0.741 -12.13221 8.631089 + 323 | 4.532786 7.868413 0.58 0.565 -10.90713 19.9727 + 324 | -2.972383 5.476385 -0.54 0.587 -13.7185 7.773738 + 325 | .4189856 5.361316 0.08 0.938 -10.10134 10.93931 + 331 | .9938545 5.252667 0.19 0.850 -9.313272 11.30098 + 332 | -2.039566 5.510374 -0.37 0.711 -12.85238 8.77325 + 333 | -2.721322 5.320843 -0.51 0.609 -13.16223 7.719585 + 334 | 2.572445 5.291972 0.49 0.627 -7.811809 12.9567 + 335 | -2.154085 5.42041 -0.40 0.691 -12.79037 8.482198 + 336 | -.4068498 5.403689 -0.08 0.940 -11.01032 10.19662 + 341 | -.5214498 5.522518 -0.09 0.925 -11.3581 10.3152 + 342 | 2.872429 7.296123 0.39 0.694 -11.4445 17.18936 + 343 | -1.635875 5.968326 -0.27 0.784 -13.34731 10.07556 + 344 | -6.803272 5.553942 -1.22 0.221 -17.70158 4.095036 + 398 | 3.437919 5.533947 0.62 0.535 -7.421154 14.29699 + 399 | 1.040638 6.046558 0.17 0.863 -10.82431 12.90559 + 400 | -.8586635 6.75139 -0.13 0.899 -14.10668 12.38935 + 401 | 21.8626 7.534979 2.90 0.004 7.076968 36.64822 + 402 | -4.528564 5.519683 -0.82 0.412 -15.35965 6.302518 + 403 | 8.247553 8.458465 0.98 0.330 -8.3502 24.84531 + 404 | 14.40791 5.942466 2.42 0.015 2.747216 26.06861 + 405 | -1.50755 8.842442 -0.17 0.865 -18.85877 15.84367 + 498 | -.9626214 6.495417 -0.15 0.882 -13.70835 11.78311 + 499 | 12.08748 11.68845 1.03 0.301 -10.84836 35.02331 + 500 | -3.600077 5.645211 -0.64 0.524 -14.67748 7.477325 + 501 | .192129 5.344272 0.04 0.971 -10.29475 10.67901 + 502 | .308205 5.731073 0.05 0.957 -10.93768 11.55409 + 503 | -3.111002 5.010875 -0.62 0.535 -12.94367 6.721663 + 504 | -6.541331 5.228631 -1.25 0.211 -16.80129 3.71863 + 505 | 7.644996 6.890765 1.11 0.267 -5.876512 21.1665 + 506 | -2.637787 6.331426 -0.42 0.677 -15.06173 9.786151 + 508 | -4.702705 5.152074 -0.91 0.362 -14.81244 5.407031 + 529 | 12.24973 10.60643 1.15 0.248 -8.562913 33.06237 + 530 | -.4321402 5.248604 -0.08 0.934 -10.73129 9.867014 + 599 | -6.251576 6.015104 -1.04 0.299 -18.0548 5.551654 + 600 | -1.750488 5.214118 -0.34 0.737 -11.98197 8.480996 + 601 | 4.842736 6.386661 0.76 0.448 -7.689588 17.37506 + 602 | -1.884327 5.036974 -0.37 0.708 -11.76821 7.999553 + 603 | .0980732 5.316176 0.02 0.985 -10.33367 10.52982 + 604 | -7.733788 5.108565 -1.51 0.130 -17.75815 2.290573 + 606 | -1.805703 5.227029 -0.35 0.730 -12.06252 8.451114 + 607 | -.3275905 5.116883 -0.06 0.949 -10.36827 9.713093 + 609 | 3.721721 6.513525 0.57 0.568 -9.059544 16.50299 + 698 | -2.457 6.87682 -0.36 0.721 -15.95114 11.03715 + 699 | -.2801831 6.237584 -0.04 0.964 -12.51998 11.95961 + 700 | -1.098566 6.033985 -0.18 0.856 -12.93885 10.74171 + 701 | .8363948 7.704091 0.11 0.914 -14.28108 15.95386 + 703 | -1.531505 5.745491 -0.27 0.790 -12.80568 9.742674 + 704 | -2.640234 5.241225 -0.50 0.615 -12.92491 7.64444 + 705 | .7525234 6.05246 0.12 0.901 -11.12401 12.62906 + 707 | 8.066912 8.119709 0.99 0.321 -7.866111 23.99993 + 708 | -6.992389 5.151727 -1.36 0.175 -17.10145 3.116667 + 709 | 2.566513 5.794375 0.44 0.658 -8.803588 13.93661 + 710 | 7.862546 5.975121 1.32 0.189 -3.862227 19.58732 + 711 | 3.087148 5.824339 0.53 0.596 -8.34175 14.51605 + 798 | -7.287145 5.753011 -1.27 0.206 -18.57608 4.001789 + 799 | -8.427722 5.437538 -1.55 0.121 -19.09762 2.242171 + 800 | -3.573236 5.246333 -0.68 0.496 -13.86793 6.721461 + 801 | 12.75506 6.982856 1.83 0.068 -.9471561 26.45728 + 802 | -.7454352 6.19473 -0.12 0.904 -12.90114 11.41027 + 803 | -1.563251 5.237809 -0.30 0.765 -11.84122 8.71472 + 805 | -1.086824 8.066546 -0.13 0.893 -16.91553 14.74188 + 806 | 3.468822 5.267179 0.66 0.510 -6.86678 13.80442 + 807 | -.6433146 5.397654 -0.12 0.905 -11.23494 9.948314 + 898 | .6884483 7.394356 0.09 0.926 -13.82124 15.19814 + 899 | -6.844325 6.380166 -1.07 0.284 -19.3639 5.675254 + 1000 | -.8924062 7.150721 -0.12 0.901 -14.92402 13.13921 + 1001 | -6.075499 5.829092 -1.04 0.298 -17.51373 5.362727 + 1002 | -2.060783 6.032658 -0.34 0.733 -13.89846 9.776893 + 1003 | 1.277013 5.489757 0.23 0.816 -9.495346 12.04937 + 1005 | -1.231327 6.638629 -0.19 0.853 -14.25808 11.79542 + 1006 | 6.701219 6.079693 1.10 0.271 -5.228752 18.63119 + 1007 | .114775 5.470229 0.02 0.983 -10.61927 10.84882 + 1010 | -9.950375 5.575147 -1.78 0.075 -20.89029 .9895429 + 1098 | -5.510108 9.242873 -0.60 0.551 -23.64708 12.62686 + 1099 | -16.6547 5.898201 -2.82 0.005 -28.22853 -5.080861 + 1200 | .40894 7.805601 0.05 0.958 -14.90772 15.7256 + 1201 | 2.758209 6.068483 0.45 0.650 -9.149764 14.66618 + 1202 | 1.436533 8.235056 0.17 0.862 -14.72283 17.5959 + 1203 | 2.947685 5.715019 0.52 0.606 -8.266699 14.16207 + 1204 | 2.130018 5.856146 0.36 0.716 -9.361295 13.62133 + 1205 | 17.52352 7.745531 2.26 0.024 2.324733 32.72231 + 1206 | -5.781155 5.086985 -1.14 0.256 -15.76317 4.200859 + 1207 | 6.752638 6.243291 1.08 0.280 -5.498356 19.00363 + 1208 | -1.408234 6.211698 -0.23 0.821 -13.59723 10.78077 + 1209 | -1.1979 5.630377 -0.21 0.832 -12.24619 9.850393 + 1210 | 3.203021 6.089362 0.53 0.599 -8.745924 15.15197 + 1211 | -2.314115 5.813463 -0.40 0.691 -13.72167 9.093442 + 1299 | -2.69639 6.379054 -0.42 0.673 -15.21379 9.821007 + 1300 | 1.256982 6.444874 0.20 0.845 -11.38957 13.90353 + 1301 | -.080959 5.974054 -0.01 0.989 -11.80364 11.64172 + 1302 | -4.670958 5.287128 -0.88 0.377 -15.04571 5.703789 + 1303 | .2625192 5.422589 0.05 0.961 -10.37804 10.90308 + 1304 | -1.61861 5.266228 -0.31 0.759 -11.95235 8.715128 + 1305 | 11.41437 7.822205 1.46 0.145 -3.934867 26.76362 + 1399 | 2.052354 8.586814 0.24 0.811 -14.79725 18.90196 + 1400 | -1.945942 5.388507 -0.36 0.718 -12.51962 8.627738 + 1401 | -2.411267 5.383584 -0.45 0.654 -12.97529 8.152755 + 1403 | -7.886505 5.174611 -1.52 0.128 -18.04046 2.267454 + 1404 | -12.16324 5.14245 -2.37 0.018 -22.2541 -2.072392 + 1405 | 11.68316 7.332589 1.59 0.111 -2.70532 26.07165 + 1406 | -5.351313 5.332549 -1.00 0.316 -15.81519 5.112563 + 1407 | -.776583 6.527305 -0.12 0.905 -13.58489 12.03172 + 1408 | 6.031774 7.903846 0.76 0.446 -9.477669 21.54122 + 1409 | -2.454597 6.717868 -0.37 0.715 -15.63684 10.72764 + 1410 | 4.451783 6.091908 0.73 0.465 -7.502157 16.40572 + 1499 | 13.14333 11.10827 1.18 0.237 -8.654044 34.9407 + 1500 | .2545893 7.339508 0.03 0.972 -14.14747 14.65665 + 1501 | -.8843674 5.377083 -0.16 0.869 -11.43563 9.666897 + 1502 | -1.660069 5.56376 -0.30 0.765 -12.57764 9.257505 + 1504 | -3.03229 5.320204 -0.57 0.569 -13.47194 7.407361 + 1505 | 3.856097 6.244708 0.62 0.537 -8.397676 16.10987 + 1507 | 5.164352 9.330117 0.55 0.580 -13.14381 23.47252 + 1520 | -1.958545 6.605385 -0.30 0.767 -14.92006 11.00297 + 1521 | 1.066111 5.393877 0.20 0.843 -9.518107 11.65033 + 1522 | 12.33084 7.338042 1.68 0.093 -2.068346 26.73002 + 1523 | 4.084165 5.524535 0.74 0.460 -6.756439 14.92477 + 1524 | 23.63933 14.26183 1.66 0.098 -4.346163 51.62482 + 1525 | -1.43952 5.205356 -0.28 0.782 -11.65381 8.77477 + 1526 | 2.58917 6.345764 0.41 0.683 -9.862903 15.04124 + 1599 | 8.654567 8.197627 1.06 0.291 -7.431352 24.74049 + 1600 | -5.78957 6.283219 -0.92 0.357 -18.11891 6.539774 + 1602 | -1.948253 6.604531 -0.29 0.768 -14.9081 11.01159 + 1603 | 7.262765 7.863933 0.92 0.356 -8.168357 22.69389 + 1604 | -5.025052 6.043966 -0.83 0.406 -16.88492 6.834814 + 1605 | -1.857109 5.519935 -0.34 0.737 -12.68869 8.974467 + 1606 | -.2594681 5.951528 -0.04 0.965 -11.93795 11.41901 + 1608 | 2.902488 5.183977 0.56 0.576 -7.26985 13.07483 + 1609 | 3.469174 5.650793 0.61 0.539 -7.619181 14.55753 + 1610 | -.1388707 5.731608 -0.02 0.981 -11.38581 11.10807 + 1611 | -5.144383 5.43975 -0.95 0.345 -15.81862 5.529851 + 1612 | 2.763746 6.037514 0.46 0.647 -9.083459 14.61095 + 1614 | -1.237199 5.73155 -0.22 0.829 -12.48402 10.00962 + 1615 | 1.519401 6.530479 0.23 0.816 -11.29513 14.33393 + 1616 | -.2841842 5.835191 -0.05 0.961 -11.73438 11.16601 + 1617 | -8.647227 5.399544 -1.60 0.110 -19.24257 1.948112 + 1619 | -7.958622 5.139253 -1.55 0.122 -18.0432 2.125955 + 1620 | 12.96471 8.463516 1.53 0.126 -3.642953 29.57237 + 1698 | .5200144 8.208844 0.06 0.950 -15.58792 16.62794 + 1699 | 7.098292 6.183726 1.15 0.251 -5.035819 19.2324 + 1700 | 5.55003 7.306952 0.76 0.448 -8.788149 19.88821 + 1701 | 11.28481 7.40851 1.52 0.128 -3.252651 25.82227 + 1704 | 48.18076 8.067426 5.97 0.000 32.35033 64.01119 + 1705 | -1.344446 9.592428 -0.14 0.889 -20.16734 17.47844 + 1706 | -1.39219 5.532269 -0.25 0.801 -12.24797 9.463589 + 1707 | 5.174766 6.100007 0.85 0.396 -6.795067 17.1446 + 1708 | 9.229985 6.675578 1.38 0.167 -3.869271 22.32924 + 1709 | 1.383278 5.680127 0.24 0.808 -9.762638 12.52919 + 1798 | 5.56455 8.499279 0.65 0.513 -11.11329 22.24239 + 1799 | -4.249096 7.166986 -0.59 0.553 -18.31263 9.814433 + 1800 | -2.553214 6.218602 -0.41 0.681 -14.75576 9.649334 + 1802 | -2.898822 5.55325 -0.52 0.602 -13.79577 7.998127 + 1803 | .849258 6.789327 0.13 0.900 -12.4732 14.17172 + 1804 | -5.260587 5.842064 -0.90 0.368 -16.72427 6.203093 + 1806 | 1.886965 6.6023 0.29 0.775 -11.0685 14.84243 + 1807 | -7.562765 5.261506 -1.44 0.151 -17.88724 2.761707 + 1808 | 34.10754 5.487883 6.22 0.000 23.33885 44.87622 + 1899 | -7.288832 5.626092 -1.30 0.195 -18.32872 3.751053 + 1900 | -6.156915 5.98018 -1.03 0.303 -17.89161 5.577784 + 1901 | .9347338 5.576553 0.17 0.867 -10.00794 11.87741 + 1902 | 9.701187 5.616075 1.73 0.084 -1.319042 20.72142 + 1905 | -2.0708 5.608825 -0.37 0.712 -13.0768 8.935203 + 1906 | 11.62226 7.905611 1.47 0.142 -3.890645 27.13517 + 1907 | 6.258762 7.729017 0.81 0.418 -8.90762 21.42514 + 1908 | -2.570823 6.479977 -0.40 0.692 -15.28626 10.14461 + 1909 | 2.560813 9.1034 0.28 0.779 -15.30247 20.4241 + 1910 | -1.345533 5.836497 -0.23 0.818 -12.79829 10.10722 + 1911 | 7.515225 7.689021 0.98 0.329 -7.572674 22.60312 + 1914 | 1.826387 7.047286 0.26 0.796 -12.00226 15.65503 + 1919 | -9.544318 5.04165 -1.89 0.059 -19.43737 .348736 + 1920 | 8.084504 5.763516 1.40 0.161 -3.225044 19.39405 + 1925 | 2.527542 6.413821 0.39 0.694 -10.05808 15.11316 + 1926 | 8.418166 7.916169 1.06 0.288 -7.115457 23.95179 + 1927 | 2.126739 7.005618 0.30 0.762 -11.62014 15.87362 + 1929 | 6.252725 8.133611 0.77 0.442 -9.707577 22.21303 + 1999 | 41.93221 5.258697 7.97 0.000 31.61325 52.25117 + 2000 | .2940086 6.936196 0.04 0.966 -13.31665 13.90467 + 2001 | 2.28686 5.904777 0.39 0.699 -9.29988 13.8736 + 2002 | .6347086 5.82815 0.11 0.913 -10.80167 12.07109 + 2003 | .921222 5.584091 0.16 0.869 -10.03625 11.87869 + 2004 | .5362647 5.281054 0.10 0.919 -9.826565 10.89909 + 2005 | 14.31559 9.811677 1.46 0.145 -4.937524 33.5687 + 2006 | 11.11241 5.743205 1.93 0.053 -.1572815 22.3821 + 2007 | -11.35327 5.587858 -2.03 0.042 -22.31813 -.3884149 + 2008 | 15.71525 5.233904 3.00 0.003 5.444946 25.98556 + 2009 | 16.08256 9.359006 1.72 0.086 -2.282295 34.44741 + 2011 | -.3756689 5.92691 -0.06 0.949 -12.00584 11.2545 + 2012 | -3.538328 5.518701 -0.64 0.522 -14.36748 7.290827 + 2013 | 2.028966 9.548826 0.21 0.832 -16.70836 20.7663 + 2014 | 9.448194 7.762802 1.22 0.224 -5.784484 24.68087 + 2015 | 2.873594 7.739552 0.37 0.711 -12.31346 18.06065 + 2030 | .7951489 8.218671 0.10 0.923 -15.33206 16.92236 + 2099 | 9.257349 8.487709 1.09 0.276 -7.397789 25.91249 + 2100 | -1.514865 6.251972 -0.24 0.809 -13.78289 10.75316 + 2101 | 2.33689 5.265252 0.44 0.657 -7.994932 12.66871 + 2102 | 4.453368 5.321131 0.84 0.403 -5.988103 14.89484 + 2103 | 1.711707 5.242873 0.33 0.744 -8.576201 11.99961 + 2104 | 2.106741 5.634767 0.37 0.709 -8.950167 13.16365 + 9999 | -.3326214 5.886211 -0.06 0.955 -11.88293 11.21769 + | + house_administration | -.2597345 1.898411 -0.14 0.891 -3.98492 3.465451 + house_agriculture | 3.813947 2.254634 1.69 0.091 -.6102424 8.238137 + house_appropriations | -.8017107 2.729719 -0.29 0.769 -6.158145 4.554723 + house_armedservices | -2.133116 1.155975 -1.85 0.065 -4.401446 .1352146 + house_budget | -8.931967 2.081895 -4.29 0.000 -13.0172 -4.846736 + house_dc | -21.65543 7.914884 -2.74 0.006 -37.18654 -6.124329 + house_educlabor | -4.276563 .7833551 -5.46 0.000 -5.813714 -2.739413 + house_energycommerce | -1.767645 .957774 -1.85 0.065 -3.647051 .111762 + house_foreignaffairs | -1.167225 1.579738 -0.74 0.460 -4.267091 1.932641 + house_governmentop | -.5181671 2.306616 -0.22 0.822 -5.044359 4.008025 + house_intelligence | 3.56541 3.749219 0.95 0.342 -3.791553 10.92237 + house_interior | -3.022542 2.048545 -1.48 0.140 -7.04233 .9972464 + house_judiciary | .6380515 1.223393 0.52 0.602 -1.762571 3.038674 + house_mmf | -5.39039 3.070411 -1.76 0.079 -11.41535 .6345708 + house_pocs | 3.961775 3.750921 1.06 0.291 -3.398527 11.32208 + house_pwt | 2.678031 3.144453 0.85 0.395 -3.492221 8.848282 + house_rules | 8.282233 4.827789 1.72 0.087 -1.19117 17.75564 + house_sst | 1.331368 3.050668 0.44 0.663 -4.654852 7.317589 + house_smallbusi | -4.826263 1.719338 -2.81 0.005 -8.20006 -1.452465 + house_soc | -5.033198 3.957373 -1.27 0.204 -12.79861 2.732218 + house_veterans | 1.645992 1.412632 1.17 0.244 -1.125966 4.417951 + house_waysandmeans | .4816528 .8911437 0.54 0.589 -1.267008 2.230313 +house_naturalresources | -2.19595 1.635438 -1.34 0.180 -5.405113 1.013213 + house_bfs | -.4795352 1.027692 -0.47 0.641 -2.49614 1.53707 + house_eeo | -.8969494 2.893211 -0.31 0.757 -6.574198 4.780299 + house_govreform | 3.481021 1.665414 2.09 0.037 .2130357 6.749006 + house_ir | -2.313607 1.642073 -1.41 0.159 -5.53579 .9085752 + house_natsecur | 1.775996 2.098221 0.85 0.398 -2.341271 5.893264 + house_oversight | -.0933 1.984371 -0.05 0.963 -3.987163 3.800563 + house_resources | .177638 2.172641 0.08 0.935 -4.08566 4.440937 + house_science | -.1234236 1.799336 -0.07 0.945 -3.654198 3.407351 + house_transp | .9783194 1.624167 0.60 0.547 -2.208727 4.165366 + house_homeland | 1.918005 2.947665 0.65 0.515 -3.866097 7.702106 + _cons | 13.97667 5.049508 2.77 0.006 4.068192 23.88514 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,033 1 0 1 1 + + +j = 5 k = 3 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 11.12081 18.1168 .6138395 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(13,828 missing values generated) +(55,922 missing values generated) +(42,094 real changes made) +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==200 & tag_bill==1 & tenured==0, robust cluster(group_sponsor) +(sum of wgt is 17,152.1753838062) + +Linear regression Number of obs = 10,281 + F(257, 1013) = . + Prob > F = . + R-squared = 0.2045 + Root MSE = 20.203 + + (Std. Err. adjusted for 1,014 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -.724437 .924925 -0.78 0.434 -2.539425 1.090551 + | + v2 | + 102 | -.2082927 2.087571 -0.10 0.921 -4.30475 3.888165 + 103 | -5.618732 1.81162 -3.10 0.002 -9.173689 -2.063776 + 104 | -8.076764 1.876824 -4.30 0.000 -11.75967 -4.393855 + 105 | -6.064203 1.837889 -3.30 0.001 -9.670708 -2.457699 + 106 | -1.757016 1.910738 -0.92 0.358 -5.506474 1.992442 + 107 | -2.220219 1.734519 -1.28 0.201 -5.623879 1.183442 + 108 | -3.124323 2.292598 -1.36 0.173 -7.623107 1.374462 + 109 | -5.008925 1.769462 -2.83 0.005 -8.481155 -1.536695 + 110 | -11.3401 1.807381 -6.27 0.000 -14.88674 -7.793464 + 111 | -11.34118 1.92263 -5.90 0.000 -15.11397 -7.568387 + | + minor | + 101 | 5.0801 5.321275 0.95 0.340 -5.361885 15.52208 + 103 | -1.421575 2.754563 -0.52 0.606 -6.826878 3.983728 + 104 | 20.70384 11.08835 1.87 0.062 -1.05493 42.46261 + 105 | 2.188388 2.454365 0.89 0.373 -2.627833 7.004609 + 107 | 5.663533 2.544169 2.23 0.026 .6710873 10.65598 + 108 | 23.45295 14.8247 1.58 0.114 -5.637696 52.54359 + 110 | 2.780272 3.196003 0.87 0.385 -3.491273 9.051817 + 200 | 18.10628 10.69838 1.69 0.091 -2.887236 39.0998 + 202 | 21.31955 8.337908 2.56 0.011 4.957998 37.68109 + 204 | 2.838835 3.317035 0.86 0.392 -3.670211 9.347881 + 205 | 22.83711 11.68188 1.95 0.051 -.0863449 45.76056 + 206 | 8.397756 3.751571 2.24 0.025 1.036016 15.7595 + 207 | 2.379243 3.098449 0.77 0.443 -3.700869 8.459355 + 208 | 9.259704 4.217333 2.20 0.028 .9839943 17.53541 + 209 | -3.255887 2.848774 -1.14 0.253 -8.846061 2.334287 + 299 | 3.744011 3.097183 1.21 0.227 -2.333619 9.82164 + 300 | 22.99608 7.210949 3.19 0.001 8.845977 37.14619 + 301 | 13.78402 4.033713 3.42 0.001 5.868634 21.69941 + 302 | 14.16962 2.96212 4.78 0.000 8.357025 19.98221 + 321 | 14.93855 5.38686 2.77 0.006 4.367864 25.50923 + 322 | 23.77289 3.399819 6.99 0.000 17.10139 30.44438 + 323 | 17.32043 4.301873 4.03 0.000 8.878828 25.76203 + 324 | 9.090649 3.913553 2.32 0.020 1.411051 16.77025 + 325 | 26.43529 5.895001 4.48 0.000 14.86748 38.0031 + 331 | 37.93288 5.37206 7.06 0.000 27.39124 48.47451 + 332 | 32.68584 5.024166 6.51 0.000 22.82688 42.5448 + 333 | 36.49423 11.26763 3.24 0.001 14.38367 58.6048 + 334 | 24.82822 6.509135 3.81 0.000 12.05529 37.60115 + 335 | 4.108781 4.900569 0.84 0.402 -5.507647 13.72521 + 336 | 29.216 5.239854 5.58 0.000 18.93379 39.49821 + 341 | 22.28994 8.997495 2.48 0.013 4.634075 39.9458 + 342 | 40.24891 7.428685 5.42 0.000 25.67154 54.82628 + 343 | 1.255298 3.619041 0.35 0.729 -5.846376 8.356973 + 344 | 53.14862 5.680298 9.36 0.000 42.00212 64.29512 + 398 | 28.15761 4.582086 6.15 0.000 19.16615 37.14908 + 399 | 20.9712 12.05751 1.74 0.082 -2.68935 44.63175 + 400 | 12.46294 4.145155 3.01 0.003 4.328866 20.59701 + 401 | 18.41163 7.041961 2.61 0.009 4.593133 32.23013 + 402 | 8.727512 3.700196 2.36 0.019 1.466586 15.98844 + 403 | 11.86601 4.818511 2.46 0.014 2.4106 21.32141 + 404 | 8.395214 5.522911 1.52 0.129 -2.442443 19.23287 + 405 | 22.04379 6.835317 3.22 0.001 8.630785 35.45679 + 498 | 15.2202 6.807522 2.24 0.026 1.861738 28.57865 + 499 | 9.329171 4.495587 2.08 0.038 .5074417 18.1509 + 500 | 5.977271 5.697917 1.05 0.294 -5.203799 17.15834 + 501 | 14.37153 8.456983 1.70 0.090 -2.22368 30.96674 + 502 | 20.26598 6.812578 2.97 0.003 6.897602 33.63436 + 503 | 10.51881 2.938237 3.58 0.000 4.753079 16.28453 + 504 | 7.905954 7.814449 1.01 0.312 -7.428406 23.24031 + 505 | 3.731741 3.57236 1.04 0.296 -3.278332 10.74181 + 506 | 15.07811 3.630203 4.15 0.000 7.95453 22.20169 + 508 | 34.12465 6.676291 5.11 0.000 21.02371 47.2256 + 529 | 4.985918 6.322391 0.79 0.431 -7.420563 17.3924 + 530 | 11.27524 3.198064 3.53 0.000 4.999651 17.55083 + 599 | 5.135394 3.149546 1.63 0.103 -1.044987 11.31578 + 600 | 2.176945 3.387599 0.64 0.521 -4.470569 8.824459 + 601 | 17.05245 3.607312 4.73 0.000 9.973791 24.13111 + 602 | 10.7684 3.611755 2.98 0.003 3.681025 17.85578 + 603 | 23.33747 7.812336 2.99 0.003 8.007253 38.66768 + 604 | 18.18561 5.929507 3.07 0.002 6.550086 29.82113 + 606 | 7.00953 4.967287 1.41 0.159 -2.73782 16.75688 + 607 | 9.466709 5.70271 1.66 0.097 -1.723768 20.65719 + 609 | 19.77428 11.89886 1.66 0.097 -3.574948 43.1235 + 698 | 5.144539 18.93352 0.27 0.786 -32.00887 42.29795 + 699 | -.165427 6.155523 -0.03 0.979 -12.24446 11.91361 + 700 | 4.989541 4.120784 1.21 0.226 -3.096708 13.07579 + 701 | 19.89382 6.165999 3.23 0.001 7.794225 31.99341 + 703 | 10.49386 4.88236 2.15 0.032 .9131665 20.07456 + 704 | 8.641788 3.857122 2.24 0.025 1.072924 16.21065 + 705 | 7.701425 4.146085 1.86 0.064 -.4344732 15.83732 + 707 | 36.82556 7.230712 5.09 0.000 22.63668 51.01445 + 708 | 13.85708 11.35999 1.22 0.223 -8.434726 36.14889 + 709 | 12.01256 3.059547 3.93 0.000 6.008784 18.01634 + 710 | 19.08509 3.927774 4.86 0.000 11.37758 26.79259 + 711 | 19.34587 6.078169 3.18 0.002 7.418627 31.27311 + 798 | 18.52781 6.01163 3.08 0.002 6.73114 30.32448 + 799 | 29.84375 4.068517 7.34 0.000 21.86007 37.82744 + 800 | 11.91078 5.016049 2.37 0.018 2.067743 21.75381 + 801 | 6.413434 4.509242 1.42 0.155 -2.43509 15.26196 + 802 | 8.977729 4.006762 2.24 0.025 1.115225 16.84023 + 803 | 11.66234 3.234794 3.61 0.000 5.314673 18.01 + 805 | 3.229902 3.95692 0.82 0.415 -4.534796 10.9946 + 806 | 19.50027 5.370881 3.63 0.000 8.960946 30.0396 + 807 | 17.11935 5.720502 2.99 0.003 5.893962 28.34474 + 898 | -4.295664 7.290975 -0.59 0.556 -18.60281 10.01148 + 899 | 13.85258 15.4892 0.89 0.371 -16.54201 44.24717 + 1000 | 9.457149 4.521679 2.09 0.037 .5842199 18.33008 + 1001 | 16.13026 6.438136 2.51 0.012 3.496649 28.76387 + 1002 | 11.98658 3.497339 3.43 0.001 5.123719 18.84944 + 1003 | 14.71239 3.865031 3.81 0.000 7.128003 22.29677 + 1005 | 11.73686 5.774226 2.03 0.042 .4060457 23.06767 + 1006 | 19.29014 4.716656 4.09 0.000 10.03461 28.54568 + 1007 | 5.192818 3.630256 1.43 0.153 -1.930865 12.3165 + 1010 | -1.388491 4.338874 -0.32 0.749 -9.9027 7.125719 + 1098 | -25.25869 5.981465 -4.22 0.000 -36.99617 -13.52121 + 1099 | 19.69756 14.98016 1.31 0.189 -9.698141 49.09325 + 1200 | 11.35592 8.934166 1.27 0.204 -6.175675 28.88751 + 1201 | 19.64786 4.943152 3.97 0.000 9.947868 29.34784 + 1202 | 14.62027 6.527413 2.24 0.025 1.811473 27.42907 + 1203 | 6.91951 3.361136 2.06 0.040 .3239235 13.5151 + 1204 | 7.443717 3.788635 1.96 0.050 .0092467 14.87819 + 1205 | 7.129415 4.602173 1.55 0.122 -1.90147 16.1603 + 1206 | 23.32762 7.340603 3.18 0.002 8.923089 37.73215 + 1207 | 14.27117 4.343693 3.29 0.001 5.747498 22.79483 + 1208 | 23.18969 4.711258 4.92 0.000 13.94475 32.43463 + 1209 | 18.15855 4.199117 4.32 0.000 9.918587 26.39851 + 1210 | 11.2321 3.234271 3.47 0.001 4.885463 17.57874 + 1211 | 18.06671 4.395732 4.11 0.000 9.440926 26.69249 + 1299 | 5.972978 8.656011 0.69 0.490 -11.01279 22.95874 + 1300 | 4.279765 4.050718 1.06 0.291 -3.668995 12.22852 + 1301 | 12.28889 7.490534 1.64 0.101 -2.409852 26.98762 + 1302 | 13.38184 5.216324 2.57 0.010 3.145803 23.61788 + 1303 | 13.32089 3.194028 4.17 0.000 7.053224 19.58856 + 1304 | 30.98014 5.043892 6.14 0.000 21.08247 40.87782 + 1305 | 24.24917 11.66198 2.08 0.038 1.36477 47.13358 + 1399 | 14.25254 16.15696 0.88 0.378 -17.45241 45.95748 + 1400 | 11.41464 4.129732 2.76 0.006 3.31083 19.51845 + 1401 | 20.31212 5.139125 3.95 0.000 10.22757 30.39667 + 1403 | 35.2596 5.633042 6.26 0.000 24.20583 46.31336 + 1404 | 15.33421 8.487644 1.81 0.071 -1.321163 31.98959 + 1405 | 23.43876 7.571375 3.10 0.002 8.581388 38.29614 + 1406 | 14.07413 6.872526 2.05 0.041 .588115 27.56015 + 1407 | 19.78693 9.689799 2.04 0.041 .7725552 38.80131 + 1408 | 30.47852 13.8941 2.19 0.028 3.214003 57.74303 + 1409 | 29.40858 9.439464 3.12 0.002 10.88544 47.93172 + 1410 | 24.21324 3.816346 6.34 0.000 16.72439 31.70209 + 1499 | 1.607607 4.708563 0.34 0.733 -7.632047 10.84726 + 1500 | 12.37296 5.593751 2.21 0.027 1.39629 23.34962 + 1501 | 20.63544 3.995171 5.17 0.000 12.79569 28.4752 + 1502 | 7.601049 2.976022 2.55 0.011 1.761176 13.44092 + 1504 | 15.32895 4.195087 3.65 0.000 7.096898 23.56101 + 1505 | 24.14031 5.678176 4.25 0.000 12.99798 35.28265 + 1507 | 18.65778 6.041471 3.09 0.002 6.802548 30.51301 + 1520 | 14.62775 10.54885 1.39 0.166 -6.072337 35.32784 + 1521 | 11.11463 4.522917 2.46 0.014 2.23927 19.98999 + 1522 | 18.12115 4.727183 3.83 0.000 8.844961 27.39734 + 1523 | 18.26764 4.316828 4.23 0.000 9.796691 26.73859 + 1524 | 22.67726 11.866 1.91 0.056 -.6075034 45.96202 + 1525 | 25.93005 5.575999 4.65 0.000 14.98822 36.87188 + 1526 | 26.79086 7.696346 3.48 0.001 11.68826 41.89347 + 1599 | 18.75969 6.148001 3.05 0.002 6.695412 30.82396 + 1600 | 4.812522 5.878038 0.82 0.413 -6.722004 16.34705 + 1602 | -3.530783 4.638661 -0.76 0.447 -12.63327 5.5717 + 1603 | 1.783585 7.779904 0.23 0.819 -13.48299 17.05016 + 1604 | 16.10494 7.558027 2.13 0.033 1.273757 30.93612 + 1605 | 3.707501 6.026264 0.62 0.539 -8.117888 15.53289 + 1606 | -10.76542 3.862296 -2.79 0.005 -18.34444 -3.186406 + 1608 | 14.56326 3.097711 4.70 0.000 8.484596 20.64193 + 1609 | 12.59609 3.667057 3.43 0.001 5.400195 19.79199 + 1610 | 19.84076 7.461841 2.66 0.008 5.198326 34.4832 + 1611 | 3.725758 4.339509 0.86 0.391 -4.789698 12.24121 + 1612 | 19.6855 3.811414 5.16 0.000 12.20633 27.16468 + 1614 | 3.710953 9.630063 0.39 0.700 -15.1862 22.60811 + 1615 | 8.077568 3.819653 2.11 0.035 .5822299 15.57291 + 1616 | 1.257244 5.883103 0.21 0.831 -10.28722 12.80171 + 1617 | 18.2841 9.176319 1.99 0.047 .2773318 36.29087 + 1619 | 2.163581 5.781583 0.37 0.708 -9.181668 13.50883 + 1620 | 50.23359 5.154918 9.74 0.000 40.11805 60.34913 + 1698 | 10.52341 10.12109 1.04 0.299 -9.337278 30.38411 + 1699 | 18.88284 4.848989 3.89 0.000 9.367629 28.39805 + 1700 | 12.74854 5.054836 2.52 0.012 2.82939 22.66769 + 1701 | 15.32673 7.431767 2.06 0.039 .7433052 29.91015 + 1704 | 11.55698 7.498694 1.54 0.124 -3.157769 26.27174 + 1705 | -1.141319 12.13412 -0.09 0.925 -24.95221 22.66957 + 1706 | 12.50243 4.729397 2.64 0.008 3.221891 21.78296 + 1707 | 17.55329 4.404462 3.99 0.000 8.910375 26.1962 + 1708 | 15.87075 8.886636 1.79 0.074 -1.567569 33.30907 + 1709 | 20.50485 4.723532 4.34 0.000 11.23583 29.77388 + 1798 | 14.49963 7.721435 1.88 0.061 -.6522125 29.65146 + 1799 | -3.40788 5.379518 -0.63 0.527 -13.96415 7.148394 + 1800 | 5.231978 5.108076 1.02 0.306 -4.791644 15.2556 + 1802 | 11.44505 4.956082 2.31 0.021 1.719687 21.17041 + 1803 | 29.12496 6.047116 4.82 0.000 17.25865 40.99126 + 1804 | 22.52155 10.72962 2.10 0.036 1.466723 43.57637 + 1806 | 13.2152 7.006144 1.89 0.060 -.5330132 26.96342 + 1807 | -.6034691 2.591567 -0.23 0.816 -5.688923 4.481985 + 1808 | -2.49449 2.938519 -0.85 0.396 -8.260771 3.27179 + 1899 | 8.314229 9.893331 0.84 0.401 -11.09954 27.728 + 1900 | 21.63657 8.07848 2.68 0.008 5.784097 37.48904 + 1901 | 23.04134 5.889215 3.91 0.000 11.48488 34.59779 + 1902 | 24.00477 7.209688 3.33 0.001 9.857137 38.1524 + 1905 | -20.1632 4.321685 -4.67 0.000 -28.64368 -11.68272 + 1906 | 7.0621 3.316217 2.13 0.033 .5546591 13.56954 + 1907 | 2.156333 7.192666 0.30 0.764 -11.9579 16.27056 + 1908 | 39.21389 17.13108 2.29 0.022 5.597424 72.83036 + 1910 | 49.67801 14.90764 3.33 0.001 20.42462 78.93141 + 1911 | 26.4315 27.16445 0.97 0.331 -26.87354 79.73654 + 1914 | 32.25379 12.73277 2.53 0.011 7.268155 57.23942 + 1919 | 14.50415 6.527581 2.22 0.027 1.695022 27.31328 + 1920 | 25.77959 5.747403 4.49 0.000 14.50141 37.05777 + 1925 | 21.37489 11.07792 1.93 0.054 -.3634138 43.1132 + 1926 | 5.040432 4.533454 1.11 0.266 -3.855603 13.93647 + 1927 | 19.40891 4.05172 4.79 0.000 11.45819 27.35964 + 1929 | 13.33205 4.709263 2.83 0.005 4.091026 22.57308 + 1999 | 18.65024 14.97094 1.25 0.213 -10.72737 48.02785 + 2000 | 4.614911 3.031128 1.52 0.128 -1.333098 10.56292 + 2001 | 8.135076 3.535547 2.30 0.022 1.197241 15.07291 + 2002 | 6.853495 3.115347 2.20 0.028 .7402215 12.96677 + 2003 | 19.68355 5.598533 3.52 0.000 8.697505 30.6696 + 2004 | 16.19267 3.279238 4.94 0.000 9.757793 22.62755 + 2005 | -3.38229 6.367209 -0.53 0.595 -15.87672 9.112139 + 2006 | 30.54987 3.666301 8.33 0.000 23.35546 37.74429 + 2007 | 9.489954 6.59169 1.44 0.150 -3.444977 22.42488 + 2008 | 25.06376 2.733739 9.17 0.000 19.69932 30.4282 + 2009 | 5.570168 4.060109 1.37 0.170 -2.397019 13.53735 + 2011 | 10.00761 3.087806 3.24 0.001 3.948382 16.06684 + 2012 | 9.409317 4.383955 2.15 0.032 .8066437 18.01199 + 2013 | -.3782071 3.76992 -0.10 0.920 -7.775953 7.019539 + 2014 | 8.57901 5.106129 1.68 0.093 -1.440792 18.59881 + 2015 | 15.24927 9.110494 1.67 0.094 -2.628334 33.12687 + 2030 | 8.525076 12.81393 0.67 0.506 -16.6198 33.66995 + 2099 | 25.43062 10.3861 2.45 0.015 5.049886 45.81136 + 2100 | .5138459 3.283616 0.16 0.876 -5.929622 6.957314 + 2101 | 13.69205 3.153522 4.34 0.000 7.50387 19.88024 + 2102 | 20.54523 3.782364 5.43 0.000 13.12306 27.96739 + 2103 | 10.47455 3.500471 2.99 0.003 3.605542 17.34355 + 2104 | 11.21405 3.29468 3.40 0.001 4.748874 17.67923 + 2105 | -1.720981 3.193109 -0.54 0.590 -7.986846 4.544885 + 2199 | 26.58577 12.83163 2.07 0.039 1.406147 51.76538 + 9999 | 10.27174 4.466982 2.30 0.022 1.50614 19.03733 + | + house_administration | -8.75011 2.033471 -4.30 0.000 -12.74041 -4.759812 + house_agriculture | 6.988694 1.650163 4.24 0.000 3.750566 10.22682 + house_appropriations | -4.380184 1.690035 -2.59 0.010 -7.696554 -1.063813 + house_armedservices | .3359174 1.637251 0.21 0.837 -2.876874 3.548708 + house_budget | 5.335427 2.464748 2.16 0.031 .4988309 10.17202 + house_dc | 52.35278 4.818554 10.86 0.000 42.89729 61.80827 + house_educlabor | -.4956491 1.680681 -0.29 0.768 -3.793664 2.802365 + house_energycommerce | 2.585036 1.184382 2.18 0.029 .2609129 4.90916 + house_foreignaffairs | 1.591117 3.101238 0.51 0.608 -4.494468 7.676703 + house_governmentop | -1.781031 2.286708 -0.78 0.436 -6.268258 2.706197 + house_intelligence | 24.8981 7.480795 3.33 0.001 10.21847 39.57773 + house_interior | -5.557247 3.085555 -1.80 0.072 -11.61206 .4975652 + house_judiciary | -2.648995 1.07433 -2.47 0.014 -4.757162 -.5408273 + house_mmf | 7.879432 3.766444 2.09 0.037 .4885058 15.27036 + house_pocs | 4.695543 2.856703 1.64 0.101 -.9101891 10.30128 + house_pwt | -3.945688 2.946552 -1.34 0.181 -9.727732 1.836355 + house_rules | -5.327749 1.506585 -3.54 0.000 -8.284133 -2.371365 + house_sst | 14.43244 5.552073 2.60 0.009 3.537564 25.32732 + house_smallbusi | 2.394509 6.812528 0.35 0.725 -10.97377 15.76279 + house_soc | -3.3641 7.949836 -0.42 0.672 -18.96413 12.23593 + house_veterans | 6.59947 2.122018 3.11 0.002 2.435416 10.76352 + house_waysandmeans | -2.17966 1.116907 -1.95 0.051 -4.371376 .0120565 +house_naturalresources | -1.902613 2.37256 -0.80 0.423 -6.558307 2.753082 + house_bfs | -2.355113 1.605976 -1.47 0.143 -5.506534 .7963082 + house_eeo | -4.086008 2.743528 -1.49 0.137 -9.469657 1.297641 + house_govreform | -1.004009 1.419885 -0.71 0.480 -3.790263 1.782244 + house_ir | -5.613616 2.36144 -2.38 0.018 -10.24749 -.9797413 + house_natsecur | 3.507916 3.031447 1.16 0.247 -2.440718 9.456549 + house_oversight | 2.547052 2.518756 1.01 0.312 -2.395525 7.489628 + house_resources | -6.350563 1.403565 -4.52 0.000 -9.104791 -3.596334 + house_science | .1207349 2.79342 0.04 0.966 -5.360817 5.602287 + house_transp | -1.929151 1.526122 -1.26 0.206 -4.923874 1.065572 + house_homeland | -1.584104 2.696219 -0.59 0.557 -6.874917 3.70671 + _cons | 10.91381 2.854688 3.82 0.000 5.312027 16.51559 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,014 1 0 1 1 +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(62,331 observations deleted) +(17 missing values generated) +(0 real changes made) +(0 real changes made) +(17 missing values generated) +(0 real changes made) +(0 real changes made) +(18 missing values generated) +(0 real changes made) +(0 real changes made) +(18 missing values generated) +(0 real changes made) +(0 real changes made) +(17 missing values generated) +(0 real changes made) +(0 real changes made) +(5 real changes made) +(5 real changes made) +(5 real changes made) +file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/Table9_pct_cosponsors_opposite_T0.xls saved + + +j = 1 k = 1 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11989 +----------------------+---------------------- NN matches = 3 + Number of obs | 6150 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 15.71586 27.17455 .5783301 +---------------------------------------------- +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 o +> cc3 occ4 borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if tag_bill==1 & tenured==1, robust cluster(group_sponsor) +note: sponsor_rookie omitted because of collinearity + +Linear regression Number of obs = 37,352 + F(290, 2459) = . + Prob > F = . + R-squared = 0.1227 + Root MSE = 20.189 + + (Std. Err. adjusted for 2,460 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. 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2.32 0.020 .3685213 4.408829 + house_governmentop | 1.186651 1.234293 0.96 0.336 -1.233709 3.607011 + house_intelligence | -6.153423 1.631545 -3.77 0.000 -9.352767 -2.954079 + house_interior | -1.839865 1.110255 -1.66 0.098 -4.016997 .3372673 + house_judiciary | -.2079867 .4942593 -0.42 0.674 -1.177194 .7612208 + house_mmf | 3.499115 1.486619 2.35 0.019 .5839604 6.41427 + house_pocs | .6217278 1.037985 0.60 0.549 -1.413687 2.657142 + house_pwt | -.1235007 1.132226 -0.11 0.913 -2.343716 2.096715 + house_rules | -2.282564 .9754083 -2.34 0.019 -4.195271 -.3698575 + house_sst | 1.712328 1.84283 0.93 0.353 -1.90133 5.325987 + house_smallbusi | -1.664913 1.63024 -1.02 0.307 -4.861697 1.531872 + house_soc | 5.806232 5.599573 1.04 0.300 -5.174135 16.7866 + house_veterans | 1.144584 1.059496 1.08 0.280 -.933012 3.222181 + house_waysandmeans | .4549865 .4326721 1.05 0.293 -.3934528 1.303426 +house_naturalresources | -2.43528 .9261779 -2.63 0.009 -4.251449 -.6191109 + house_bfs | -1.524317 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black | -2.847754 1.033253 -2.76 0.006 -4.873891 -.8216173 + occ0 | 1.281574 .689215 1.86 0.063 -.0699276 2.633076 + occ1 | .7562056 .7888952 0.96 0.338 -.790762 2.303173 + occ2 | 1.310638 .6274521 2.09 0.037 .0802484 2.541027 + occ3 | -3.258653 .8990034 -3.62 0.000 -5.021535 -1.495771 + occ4 | .4302609 .7345272 0.59 0.558 -1.010095 1.870617 + borninstate | 1.246102 .4264173 2.92 0.004 .4099276 2.082276 + tot_bills | -.0621728 .0131699 -4.72 0.000 -.0879981 -.0363476 + NE | -.1795385 .7172288 -0.25 0.802 -1.585973 1.226896 + MW | -.4914063 .6111485 -0.80 0.421 -1.689825 .7070125 + WE | -2.077379 .6715744 -3.09 0.002 -3.394288 -.7604689 + pct_black | 1.035101 2.265306 0.46 0.648 -3.407004 5.477206 + pct_urban | .7170546 1.567029 0.46 0.647 -2.355778 3.789888 + pct_for_born | -3.950776 2.880169 -1.37 0.170 -9.598583 1.697031 + pct_age_over65 | 26.75132 5.698427 4.69 0.000 15.5771 37.92553 + lninc | 2.038369 1.227952 1.66 0.097 -.3695585 4.446296 + lnpden | -.3466834 .2379896 -1.46 0.145 -.8133642 .1199974 + _cons | -7.975087 12.38903 -0.64 0.520 -32.26911 16.31893 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,460 1 0 1 1 + + +j = 1 k = 2 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6186 +----------------------+---------------------- NN matches = 3 + Number of obs | 2192 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 24.47749 44.63704 .5483673 +---------------------------------------------- +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 o +> cc3 occ4 borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if sponsor_party==100 & tag_bill==1 & tenured==1, robust clust +> er(group_sponsor) +note: sponsor_democrat omitted because of collinearity +note: sponsor_rookie omitted because of collinearity + +Linear regression Number of obs = 21,496 + F(289, 1375) = . + Prob > F = . + R-squared = 0.1091 + Root MSE = 17.126 + + (Std. Err. adjusted for 1,376 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -1.645271 .5805197 -2.83 0.005 -2.784072 -.5064714 + | + v2 | + 102 | -1.647838 .744987 -2.21 0.027 -3.109272 -.1864039 + 103 | -.2093861 1.157678 -0.18 0.856 -2.480392 2.06162 + 104 | -3.29402 1.394138 -2.36 0.018 -6.028886 -.559153 + 105 | -3.026702 1.273489 -2.38 0.018 -5.524893 -.5285114 + 106 | -1.850475 1.243831 -1.49 0.137 -4.290487 .5895373 + 107 | -2.89416 1.191263 -2.43 0.015 -5.23105 -.5572707 + 108 | -8.704599 4.066781 -2.14 0.032 -16.68237 -.726832 + 109 | -8.908902 4.058353 -2.20 0.028 -16.87013 -.9476688 + 110 | -2.046894 4.02278 -0.51 0.611 -9.938344 5.844556 + 111 | -3.962511 4.055451 -0.98 0.329 -11.91805 3.993029 + | + minor | + 101 | -10.17943 3.543771 -2.87 0.004 -17.13122 -3.227652 + 103 | -6.568829 3.635667 -1.81 0.071 -13.70088 .5632259 + 104 | -2.601209 6.212503 -0.42 0.675 -14.78822 9.585802 + 105 | -5.539029 3.662355 -1.51 0.131 -12.72344 1.645378 + 107 | -1.369548 3.305829 -0.41 0.679 -7.854562 5.115465 + 108 | 1.22827 5.108128 0.24 0.810 -8.792297 11.24884 + 110 | -12.20785 3.677426 -3.32 0.001 -19.42182 -4.993875 + 200 | -3.013603 3.599681 -0.84 0.403 -10.07507 4.047859 + 201 | -11.11077 3.364263 -3.30 0.001 -17.71041 -4.511126 + 202 | -6.478611 3.3272 -1.95 0.052 -13.00555 .0483266 + 204 | 3.277014 5.446332 0.60 0.547 -7.407005 13.96103 + 205 | 3.084802 4.753181 0.65 0.516 -6.239469 12.40907 + 206 | -11.46033 3.457914 -3.31 0.001 -18.24369 -4.676975 + 207 | 1.241296 3.991326 0.31 0.756 -6.588452 9.071043 + 208 | -.7295953 3.554009 -0.21 0.837 -7.701462 6.242271 + 209 | -11.17886 3.438847 -3.25 0.001 -17.92481 -4.432907 + 299 | -5.336015 8.623134 -0.62 0.536 -22.25194 11.57991 + 300 | -3.245961 3.55641 -0.91 0.362 -10.22254 3.730615 + 301 | -3.059852 3.417502 -0.90 0.371 -9.763935 3.64423 + 302 | -2.180785 3.33649 -0.65 0.513 -8.725947 4.364377 + 321 | -1.307451 3.463763 -0.38 0.706 -8.102283 5.48738 + 322 | -1.543699 3.446895 -0.45 0.654 -8.30544 5.218042 + 323 | 3.286546 3.610106 0.91 0.363 -3.795365 10.36846 + 324 | -3.925891 3.655981 -1.07 0.283 -11.0978 3.246014 + 325 | -.9514081 3.411379 -0.28 0.780 -7.64348 5.740663 + 331 | .8284953 3.367224 0.25 0.806 -5.776957 7.433948 + 332 | -2.04426 3.333342 -0.61 0.540 -8.583246 4.494727 + 333 | -1.951343 3.456039 -0.56 0.572 -8.731023 4.828336 + 334 | -.0767774 3.3763 -0.02 0.982 -6.700034 6.546479 + 335 | -8.05137 3.345064 -2.41 0.016 -14.61335 -1.489388 + 336 | 2.380103 3.532693 0.67 0.501 -4.549949 9.310155 + 341 | -2.47488 3.60958 -0.69 0.493 -9.55576 4.606 + 342 | -.9346158 4.126005 -0.23 0.821 -9.028562 7.159331 + 343 | -1.321683 3.969087 -0.33 0.739 -9.107805 6.464439 + 344 | -2.085058 4.312097 -0.48 0.629 -10.54406 6.373942 + 398 | 2.389032 3.442526 0.69 0.488 -4.36414 9.142204 + 399 | -.630894 4.448052 -0.14 0.887 -9.356597 8.094809 + 400 | .0404015 4.757758 0.01 0.993 -9.292848 9.373651 + 401 | -2.708247 4.299062 -0.63 0.529 -11.14168 5.725184 + 402 | 5.388599 3.716434 1.45 0.147 -1.901895 12.67909 + 403 | -3.220275 3.513006 -0.92 0.359 -10.11171 3.671156 + 404 | .0712344 5.191789 0.01 0.989 -10.11345 10.25592 + 405 | 10.22263 5.378618 1.90 0.058 -.3285573 20.77381 + 498 | 6.298034 7.609352 0.83 0.408 -8.629161 21.22523 + 499 | -2.384434 5.700276 -0.42 0.676 -13.56661 8.797745 + 500 | -9.372301 3.405589 -2.75 0.006 -16.05301 -2.691589 + 501 | -5.861991 3.632152 -1.61 0.107 -12.98715 1.263167 + 502 | -6.32561 3.519422 -1.80 0.073 -13.22963 .5784073 + 503 | -4.214803 3.300401 -1.28 0.202 -10.68917 2.259563 + 504 | -6.221729 3.430306 -1.81 0.070 -12.95093 .5074711 + 505 | -4.055217 3.730314 -1.09 0.277 -11.37294 3.262506 + 506 | -6.481334 3.584872 -1.81 0.071 -13.51374 .551076 + 508 | -5.623324 3.45144 -1.63 0.103 -12.39398 1.147334 + 529 | 8.730261 7.129803 1.22 0.221 -5.256208 22.71673 + 530 | -4.568872 3.376635 -1.35 0.176 -11.19279 2.055041 + 599 | -1.106087 5.045001 -0.22 0.826 -11.00282 8.790644 + 600 | -4.004132 3.833179 -1.04 0.296 -11.52364 3.515379 + 601 | -1.821008 3.316491 -0.55 0.583 -8.326938 4.684921 + 602 | -4.769763 3.30097 -1.44 0.149 -11.24524 1.705719 + 603 | -6.261558 3.481266 -1.80 0.072 -13.09073 .5676101 + 604 | 5.367134 5.805561 0.92 0.355 -6.021581 16.75585 + 606 | .9547282 5.358976 0.18 0.859 -9.557925 11.46738 + 607 | -2.938153 3.48972 -0.84 0.400 -9.783904 3.907598 + 609 | .780172 4.731529 0.16 0.869 -8.501626 10.06197 + 698 | 9.367309 7.86921 1.19 0.234 -6.069647 24.80426 + 699 | -1.552195 3.867157 -0.40 0.688 -9.13836 6.033971 + 700 | -.6847559 3.781558 -0.18 0.856 -8.103002 6.733491 + 701 | -3.877002 3.604319 -1.08 0.282 -10.94756 3.193557 + 703 | -1.341106 3.704817 -0.36 0.717 -8.608812 5.926599 + 704 | -4.128579 3.453302 -1.20 0.232 -10.90289 2.645731 + 705 | -.7386328 3.826276 -0.19 0.847 -8.244604 6.767338 + 707 | -.416829 3.791599 -0.11 0.912 -7.854774 7.021116 + 708 | -6.025773 3.900114 -1.55 0.123 -13.67659 1.625044 + 709 | 3.320641 3.459819 0.96 0.337 -3.466455 10.10774 + 710 | -1.66944 3.820532 -0.44 0.662 -9.164142 5.825262 + 711 | -6.770887 3.724484 -1.82 0.069 -14.07717 .5353993 + 798 | .1365282 4.243412 0.03 0.974 -8.187734 8.460791 + 799 | .1801515 6.196641 0.03 0.977 -11.97574 12.33605 + 800 | -4.479954 3.820005 -1.17 0.241 -11.97362 3.013715 + 801 | -2.469194 3.833407 -0.64 0.520 -9.989153 5.050765 + 802 | 2.038882 3.869084 0.53 0.598 -5.551064 9.628827 + 803 | -2.403 3.610354 -0.67 0.506 -9.485398 4.679399 + 805 | 3.004702 5.332902 0.56 0.573 -7.456803 13.46621 + 806 | 1.036078 3.627466 0.29 0.775 -6.079889 8.152044 + 807 | -.518261 3.85908 -0.13 0.893 -8.088583 7.052061 + 898 | 1.543972 5.497234 0.28 0.779 -9.239901 12.32785 + 899 | -11.44106 3.310837 -3.46 0.001 -17.9359 -4.946219 + 1000 | .5348983 4.193557 0.13 0.899 -7.691565 8.761361 + 1001 | -4.842879 4.436288 -1.09 0.275 -13.5455 3.859745 + 1002 | .5149852 3.998581 0.13 0.898 -7.328994 8.358964 + 1003 | 2.290132 3.587042 0.64 0.523 -4.746535 9.326799 + 1005 | -.220534 3.811257 -0.06 0.954 -7.697042 7.255974 + 1006 | -1.094526 3.68486 -0.30 0.766 -8.323083 6.13403 + 1007 | 2.2305 3.844001 0.58 0.562 -5.310242 9.771242 + 1010 | -7.777742 3.868373 -2.01 0.045 -15.36629 -.1891905 + 1098 | -2.13606 5.888514 -0.36 0.717 -13.6875 9.415384 + 1099 | 8.380061 13.06648 0.64 0.521 -17.25233 34.01245 + 1200 | -6.634473 4.068145 -1.63 0.103 -14.61491 1.345968 + 1201 | -2.668702 3.596918 -0.74 0.458 -9.724743 4.387339 + 1202 | 3.662952 4.473804 0.82 0.413 -5.113269 12.43917 + 1203 | .6273268 3.606784 0.17 0.862 -6.448068 7.702722 + 1204 | 4.856959 4.406936 1.10 0.271 -3.788086 13.502 + 1205 | -8.602971 3.807442 -2.26 0.024 -16.07199 -1.133948 + 1206 | -2.985216 4.019723 -0.74 0.458 -10.87067 4.900238 + 1207 | -4.119065 3.834917 -1.07 0.283 -11.64199 3.403856 + 1208 | -2.10165 3.432844 -0.61 0.540 -8.835829 4.632528 + 1209 | -6.583217 3.353358 -1.96 0.050 -13.16147 -.0049668 + 1210 | -5.658472 3.545259 -1.60 0.111 -12.61317 1.29623 + 1211 | -4.642392 3.818187 -1.22 0.224 -12.13249 2.847711 + 1299 | -2.865016 5.567805 -0.51 0.607 -13.78733 8.057296 + 1300 | -3.743447 3.816409 -0.98 0.327 -11.23006 3.743167 + 1301 | -4.87155 3.528569 -1.38 0.168 -11.79351 2.050411 + 1302 | -5.531306 3.574074 -1.55 0.122 -12.54254 1.479923 + 1303 | -5.635338 3.299206 -1.71 0.088 -12.10736 .8366831 + 1304 | -3.151958 3.54136 -0.89 0.374 -10.09901 3.795096 + 1305 | -3.574426 3.514558 -1.02 0.309 -10.4689 3.320049 + 1399 | -7.044144 5.791751 -1.22 0.224 -18.40577 4.31748 + 1400 | -2.353735 3.61943 -0.65 0.516 -9.453937 4.746466 + 1401 | -.0866343 4.14539 -0.02 0.983 -8.218607 8.045339 + 1403 | .720089 4.657117 0.15 0.877 -8.415735 9.855913 + 1404 | .4268042 5.797199 0.07 0.941 -10.94551 11.79912 + 1405 | -1.025964 4.043869 -0.25 0.800 -8.958785 6.906858 + 1406 | -5.545336 3.35307 -1.65 0.098 -12.12302 1.03235 + 1407 | 5.592484 4.59832 1.22 0.224 -3.427997 14.61297 + 1408 | -5.997385 4.110546 -1.46 0.145 -14.061 2.066235 + 1409 | -3.86217 4.607567 -0.84 0.402 -12.90079 5.176452 + 1410 | -.5672359 5.036228 -0.11 0.910 -10.44676 9.312286 + 1499 | -12.2598 3.424621 -3.58 0.000 -18.97785 -5.541749 + 1500 | -2.302016 4.384172 -0.53 0.600 -10.90241 6.298373 + 1501 | -.5850427 3.408527 -0.17 0.864 -7.271518 6.101433 + 1502 | 1.193282 3.60066 0.33 0.740 -5.870099 8.256664 + 1504 | -1.642803 3.518396 -0.47 0.641 -8.544808 5.259202 + 1505 | .8097322 4.155673 0.19 0.846 -7.342414 8.961878 + 1507 | -1.624968 4.790366 -0.34 0.734 -11.02218 7.772248 + 1520 | -4.364254 3.69376 -1.18 0.238 -11.61027 2.881762 + 1521 | -.5199447 3.709432 -0.14 0.889 -7.796702 6.756813 + 1522 | 10.16344 4.184828 2.43 0.015 1.954099 18.37277 + 1523 | -1.154168 3.37343 -0.34 0.732 -7.771794 5.463458 + 1524 | 7.269946 5.786937 1.26 0.209 -4.082235 18.62213 + 1525 | -1.971891 3.427093 -0.58 0.565 -8.694788 4.751007 + 1526 | -.6935849 3.939194 -0.18 0.860 -8.421065 7.033896 + 1599 | 11.03764 7.622062 1.45 0.148 -3.914487 25.98977 + 1600 | 3.347653 3.814516 0.88 0.380 -4.135248 10.83055 + 1602 | -1.519462 4.875961 -0.31 0.755 -11.08459 8.045666 + 1603 | -10.27808 4.024333 -2.55 0.011 -18.17258 -2.383585 + 1604 | 7.65617 8.012327 0.96 0.339 -8.061537 23.37388 + 1605 | -.5067723 4.183847 -0.12 0.904 -8.714187 7.700642 + 1606 | 6.547774 5.215139 1.26 0.209 -3.682717 16.77826 + 1608 | .664011 3.379472 0.20 0.844 -5.965468 7.29349 + 1609 | -.8883487 3.427339 -0.26 0.796 -7.611727 5.83503 + 1610 | -.4407568 4.295551 -0.10 0.918 -8.8673 7.985786 + 1611 | .4313105 4.459114 0.10 0.923 -8.316091 9.178712 + 1612 | -1.191195 3.860731 -0.31 0.758 -8.764756 6.382365 + 1614 | 6.599951 7.177717 0.92 0.358 -7.48051 20.68041 + 1615 | -1.475957 3.83751 -0.38 0.701 -9.003965 6.052051 + 1616 | .1863253 4.371196 0.04 0.966 -8.388609 8.76126 + 1617 | .1750336 4.844707 0.04 0.971 -9.328783 9.67885 + 1619 | -6.661548 3.742487 -1.78 0.075 -14.00315 .6800553 + 1620 | -1.38323 5.995792 -0.23 0.818 -13.14512 10.37866 + 1698 | 12.72391 9.139222 1.39 0.164 -5.204419 30.65224 + 1699 | 4.633324 3.908539 1.19 0.236 -3.03402 12.30067 + 1700 | 2.825377 5.260256 0.54 0.591 -7.493618 13.14437 + 1701 | 2.07265 4.109255 0.50 0.614 -5.988438 10.13374 + 1704 | 10.62586 7.53552 1.41 0.159 -4.156498 25.40822 + 1705 | -1.694373 4.973736 -0.34 0.733 -11.45131 8.06256 + 1706 | 3.881553 3.844827 1.01 0.313 -3.660808 11.42391 + 1707 | 1.657225 3.510073 0.47 0.637 -5.228453 8.542903 + 1708 | 4.889069 4.693844 1.04 0.298 -4.318803 14.09694 + 1709 | 8.396365 4.607015 1.82 0.069 -.6411746 17.4339 + 1798 | -1.839416 3.983097 -0.46 0.644 -9.653021 5.974189 + 1799 | -.7339998 10.98129 -0.07 0.947 -22.2759 20.8079 + 1800 | -4.890674 3.919107 -1.25 0.212 -12.57875 2.797402 + 1802 | -1.219839 3.714251 -0.33 0.743 -8.50605 6.066372 + 1803 | .9637793 3.826593 0.25 0.801 -6.542812 8.470371 + 1804 | -1.267147 4.787081 -0.26 0.791 -10.65792 8.123626 + 1806 | 3.583365 4.646087 0.77 0.441 -5.530821 12.69755 + 1807 | -11.20007 3.247999 -3.45 0.001 -17.57164 -4.828496 + 1808 | 4.558854 8.875336 0.51 0.608 -12.85181 21.96952 + 1899 | 7.466111 12.03152 0.62 0.535 -16.136 31.06823 + 1900 | .4913424 4.395662 0.11 0.911 -8.131586 9.114271 + 1901 | .71791 3.536049 0.20 0.839 -6.218726 7.654546 + 1902 | 3.484683 4.398973 0.79 0.428 -5.144741 12.11411 + 1905 | -.4239663 3.992664 -0.11 0.915 -8.256338 7.408405 + 1906 | -2.291419 3.657323 -0.63 0.531 -9.465956 4.883119 + 1907 | 5.953517 6.250826 0.95 0.341 -6.30867 18.2157 + 1908 | 7.201098 5.875522 1.23 0.221 -4.32486 18.72706 + 1909 | 4.0811 6.206325 0.66 0.511 -8.093791 16.25599 + 1910 | -8.462433 4.526661 -1.87 0.062 -17.34234 .4174756 + 1911 | -1.34743 4.051192 -0.33 0.739 -9.294616 6.599756 + 1912 | -8.348661 4.324129 -1.93 0.054 -16.83127 .1339434 + 1914 | -7.34798 3.769438 -1.95 0.051 -14.74245 .0464921 + 1915 | 13.44965 5.386952 2.50 0.013 2.882118 24.01719 + 1919 | 6.935691 6.101464 1.14 0.256 -5.033494 18.90488 + 1920 | 3.385609 4.042608 0.84 0.402 -4.544737 11.31595 + 1925 | -2.771377 3.575235 -0.78 0.438 -9.784883 4.242128 + 1926 | 1.851779 4.708116 0.39 0.694 -7.384089 11.08765 + 1927 | 2.96 4.868098 0.61 0.543 -6.589703 12.5097 + 1929 | -.6264684 4.226454 -0.15 0.882 -8.917464 7.664527 + 1999 | -12.49978 3.640741 -3.43 0.001 -19.64179 -5.357773 + 2000 | -4.091816 3.434241 -1.19 0.234 -10.82873 2.645104 + 2001 | -3.33767 3.79145 -0.88 0.379 -10.77532 4.099983 + 2002 | -4.7251 3.744604 -1.26 0.207 -12.07086 2.620656 + 2003 | -2.045811 3.940655 -0.52 0.604 -9.776158 5.684535 + 2004 | 1.640093 3.398998 0.48 0.630 -5.02769 8.307876 + 2005 | 8.64098 8.725389 0.99 0.322 -8.475535 25.7575 + 2006 | 11.05921 3.441853 3.21 0.001 4.307359 17.81106 + 2007 | -2.861073 3.865175 -0.74 0.459 -10.44335 4.721206 + 2008 | 9.222281 3.46709 2.66 0.008 2.420922 16.02364 + 2009 | .6228453 5.032723 0.12 0.902 -9.249802 10.49549 + 2010 | -16.0312 3.419661 -4.69 0.000 -22.73952 -9.322882 + 2011 | -1.950279 3.741408 -0.52 0.602 -9.289764 5.389206 + 2012 | -6.221502 3.425909 -1.82 0.070 -12.94208 .499073 + 2013 | -5.998199 4.233054 -1.42 0.157 -14.30214 2.305744 + 2014 | 2.936984 4.333864 0.68 0.498 -5.564718 11.43869 + 2015 | -3.38837 5.14928 -0.66 0.511 -13.48966 6.712926 + 2030 | -2.552712 4.910421 -0.52 0.603 -12.18544 7.080016 + 2099 | 1.87429 4.303865 0.44 0.663 -6.568563 10.31714 + 2100 | -1.576818 4.63953 -0.34 0.734 -10.67814 7.524504 + 2101 | -.0468705 3.38964 -0.01 0.989 -6.696295 6.602554 + 2102 | -.9168605 3.512274 -0.26 0.794 -7.806855 5.973134 + 2103 | 2.009576 3.496048 0.57 0.566 -4.848589 8.867741 + 2104 | -2.635203 3.548101 -0.74 0.458 -9.59548 4.325075 + 2105 | -.929874 5.943487 -0.16 0.876 -12.58916 10.72941 + 2199 | 2.736009 13.37163 0.20 0.838 -23.49499 28.96701 + 9999 | -.1942057 4.6999 -0.04 0.967 -9.413955 9.025544 + | + house_administration | 1.183446 1.032518 1.15 0.252 -.8420344 3.208926 + house_agriculture | -.3783529 .8335406 -0.45 0.650 -2.013502 1.256796 + house_appropriations | -11.55087 1.100241 -10.50 0.000 -13.7092 -9.392539 + house_armedservices | -2.660856 .7932736 -3.35 0.001 -4.217014 -1.104699 + house_budget | -2.855182 1.52566 -1.87 0.061 -5.848055 .1376909 + house_dc | -3.254295 3.344215 -0.97 0.331 -9.814612 3.306021 + house_educlabor | -2.920105 .4646494 -6.28 0.000 -3.831604 -2.008607 + house_energycommerce | -.9339452 .4877333 -1.91 0.056 -1.890727 .0228368 + house_foreignaffairs | .0727861 .9949508 0.07 0.942 -1.879 2.024572 + house_governmentop | .2162856 1.410905 0.15 0.878 -2.551473 2.984045 + house_intelligence | -.2991099 1.987035 -0.15 0.880 -4.197059 3.598839 + house_interior | -4.532551 1.17949 -3.84 0.000 -6.846346 -2.218756 + house_judiciary | 1.597433 .5895627 2.71 0.007 .4408929 2.753972 + house_mmf | 4.885298 1.525074 3.20 0.001 1.893574 7.877023 + house_pocs | -.0143532 1.183479 -0.01 0.990 -2.335974 2.307267 + house_pwt | .5756346 1.265595 0.45 0.649 -1.907071 3.05834 + house_rules | 1.010345 1.41007 0.72 0.474 -1.755776 3.776467 + house_sst | 5.233879 1.787029 2.93 0.003 1.728282 8.739477 + house_smallbusi | -3.80053 2.131775 -1.78 0.075 -7.982413 .3813537 + house_soc | 2.16651 6.599492 0.33 0.743 -10.77965 15.11267 + house_veterans | -1.593715 .9707823 -1.64 0.101 -3.49809 .3106595 + house_waysandmeans | 1.093164 .4451669 2.46 0.014 .2198843 1.966444 +house_naturalresources | -4.704252 1.022257 -4.60 0.000 -6.709605 -2.6989 + house_bfs | -2.598383 .6636457 -3.92 0.000 -3.900251 -1.296516 + house_eeo | -2.293192 1.536665 -1.49 0.136 -5.307654 .7212692 + house_govreform | 3.323668 .7909324 4.20 0.000 1.772103 4.875232 + house_ir | 2.982852 1.166305 2.56 0.011 .6949229 5.270782 + house_natsecur | 1.368608 2.285482 0.60 0.549 -3.114802 5.852018 + house_oversight | -4.165213 1.182099 -3.52 0.000 -6.484125 -1.8463 + house_resources | 1.023617 1.14486 0.89 0.371 -1.222244 3.269479 + house_science | -2.121453 1.101767 -1.93 0.054 -4.28278 .0398738 + house_transp | -2.358844 .6962303 -3.39 0.001 -3.724633 -.9930555 + house_homeland | -1.708263 1.400599 -1.22 0.223 -4.455805 1.039279 + sponsor_democrat | 0 (omitted) + sponsor_rookie | 0 (omitted) + sponsor_tenure_run | -.2385864 .0790871 -3.02 0.003 -.3937309 -.0834419 + sponsor_age | .0098519 .0248197 0.40 0.691 -.0388367 .0585405 + leader | .1230862 .5363257 0.23 0.819 -.9290188 1.175191 + ivycoll | -.2638224 .6128476 -0.43 0.667 -1.46604 .938395 + black | -4.033542 .9651775 -4.18 0.000 -5.926922 -2.140163 + occ0 | -.1706381 .7245767 -0.24 0.814 -1.592033 1.250757 + occ1 | .7580246 .7935207 0.96 0.340 -.7986176 2.314667 + occ2 | .3875978 .6546071 0.59 0.554 -.8965388 1.671735 + occ3 | .2100234 1.080867 0.19 0.846 -1.910303 2.33035 + occ4 | -.6077194 .8543648 -0.71 0.477 -2.283719 1.06828 + borninstate | .9250945 .4141844 2.23 0.026 .1125929 1.737596 + tot_bills | -.0482809 .0114467 -4.22 0.000 -.0707358 -.025826 + NE | -1.648694 .7321585 -2.25 0.024 -3.084963 -.2124257 + MW | .3437084 .7583259 0.45 0.650 -1.143892 1.831309 + WE | -1.693206 .7149202 -2.37 0.018 -3.095658 -.2907534 + pct_black | 2.838769 2.244468 1.26 0.206 -1.564182 7.241721 + pct_urban | -1.252022 1.709541 -0.73 0.464 -4.605612 2.101568 + pct_for_born | -1.205667 2.882879 -0.42 0.676 -6.860984 4.449649 + pct_age_over65 | 3.987813 7.286003 0.55 0.584 -10.30507 18.2807 + lninc | -1.506241 1.127182 -1.34 0.182 -3.717423 .7049418 + lnpden | -.309795 .265871 -1.17 0.244 -.8313516 .2117617 + _cons | 36.29588 11.45831 3.17 0.002 13.81822 58.77354 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,376 1 0 1 1 + + +j = 1 k = 3 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 11.12081 18.1168 .6138395 +---------------------------------------------- +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 o +> cc3 occ4 borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if sponsor_party==200 & tag_bill==1 & tenured==1, robust clust +> er(group_sponsor) +note: sponsor_democrat omitted because of collinearity +note: sponsor_rookie omitted because of collinearity +note: black omitted because of collinearity + +Linear regression Number of obs = 15,784 + F(286, 1079) = . + Prob > F = . + R-squared = 0.1968 + Root MSE = 22.324 + + (Std. Err. adjusted for 1,080 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 6.637945 1.393766 4.76 0.000 3.903146 9.372745 + | + v2 | + 102 | -.9422023 1.757604 -0.54 0.592 -4.390912 2.506508 + 103 | -6.203709 2.174244 -2.85 0.004 -10.46993 -1.937483 + 104 | -1.664001 2.205293 -0.75 0.451 -5.99115 2.663148 + 105 | -.2415928 2.234244 -0.11 0.914 -4.625548 4.142363 + 106 | 2.578511 2.256688 1.14 0.253 -1.849482 7.006504 + 107 | 2.044505 2.241208 0.91 0.362 -2.353114 6.442124 + 108 | 4.198754 5.727475 0.73 0.464 -7.039497 15.437 + 109 | 2.435431 5.633485 0.43 0.666 -8.618395 13.48926 + 110 | -3.993485 5.703218 -0.70 0.484 -15.18414 7.197171 + 111 | -4.406256 5.860093 -0.75 0.452 -15.90472 7.092213 + | + minor | + 101 | 8.523667 10.68842 0.80 0.425 -12.44878 29.49612 + 103 | 14.27218 15.29292 0.93 0.351 -15.73506 44.27941 + 104 | .9126763 4.523078 0.20 0.840 -7.962349 9.787702 + 105 | 6.139402 4.362842 1.41 0.160 -2.421213 14.70002 + 107 | 4.556239 3.990076 1.14 0.254 -3.272948 12.38543 + 108 | 8.730672 6.909103 1.26 0.207 -4.826128 22.28747 + 110 | -5.282692 4.13671 -1.28 0.202 -13.3996 2.834216 + 200 | 3.009494 4.788592 0.63 0.530 -6.386513 12.4055 + 201 | 15.17498 16.037 0.95 0.344 -16.29226 46.64222 + 202 | 13.74283 8.625039 1.59 0.111 -3.180923 30.66658 + 204 | 21.23628 7.027086 3.02 0.003 7.447983 35.02459 + 205 | 11.37093 9.810703 1.16 0.247 -7.879289 30.62115 + 206 | 8.482305 6.906989 1.23 0.220 -5.070346 22.03496 + 207 | 7.306821 4.470196 1.63 0.102 -1.464442 16.07808 + 208 | 5.309097 4.644316 1.14 0.253 -3.803817 14.42201 + 299 | 10.89233 5.323512 2.05 0.041 .4467202 21.33794 + 300 | 14.30582 5.13507 2.79 0.005 4.229968 24.38168 + 301 | 8.111343 4.432448 1.83 0.068 -.5858511 16.80854 + 302 | 8.579778 4.143387 2.07 0.039 .449769 16.70979 + 321 | 18.17903 4.513461 4.03 0.000 9.322873 27.03518 + 322 | 21.4328 4.694826 4.57 0.000 12.22078 30.64482 + 323 | 16.95347 4.877832 3.48 0.001 7.382361 26.52458 + 324 | -.8335682 4.710494 -0.18 0.860 -10.07633 8.409198 + 325 | 23.49873 4.929781 4.77 0.000 13.82569 33.17178 + 331 | 28.99479 4.83525 6.00 0.000 19.50723 38.48235 + 332 | 23.62552 5.11221 4.62 0.000 13.59452 33.65652 + 333 | 27.24749 6.947614 3.92 0.000 13.61513 40.87986 + 334 | 14.78053 4.965191 2.98 0.003 5.038004 24.52305 + 335 | 12.05531 5.423995 2.22 0.026 1.412538 22.69808 + 336 | 23.28281 4.978574 4.68 0.000 13.51402 33.05159 + 341 | 33.86941 7.435237 4.56 0.000 19.28025 48.45857 + 342 | 11.10514 13.28695 0.84 0.403 -14.96604 37.17632 + 343 | 18.36142 7.106685 2.58 0.010 4.416928 32.30591 + 344 | 27.54217 16.39098 1.68 0.093 -4.619632 59.70397 + 398 | 21.42393 4.822686 4.44 0.000 11.96102 30.88684 + 399 | 17.81215 6.975641 2.55 0.011 4.124794 31.49951 + 400 | 10.42546 5.991316 1.74 0.082 -1.330486 22.18141 + 401 | 13.9199 5.881297 2.37 0.018 2.379824 25.45998 + 402 | 13.31124 4.330335 3.07 0.002 4.814411 21.80807 + 403 | 15.65917 5.740409 2.73 0.006 4.395543 26.9228 + 404 | 18.31088 5.313495 3.45 0.001 7.884929 28.73684 + 405 | 21.59569 8.122647 2.66 0.008 5.657719 37.53367 + 498 | 10.6824 6.349491 1.68 0.093 -1.776352 23.14114 + 499 | 11.59669 6.15775 1.88 0.060 -.4858322 23.67921 + 500 | 16.30974 7.593014 2.15 0.032 1.410992 31.20848 + 501 | 4.516975 4.842617 0.93 0.351 -4.985037 14.01899 + 502 | 5.754701 4.855316 1.19 0.236 -3.772231 15.28163 + 503 | 4.036249 4.018894 1.00 0.315 -3.849485 11.92198 + 504 | -4.579374 4.35968 -1.05 0.294 -13.13379 3.975038 + 505 | 2.177479 4.829073 0.45 0.652 -7.29796 11.65292 + 506 | -1.211693 5.047826 -0.24 0.810 -11.11636 8.692976 + 508 | 7.630286 5.380474 1.42 0.156 -2.927093 18.18766 + 529 | 17.04185 6.427429 2.65 0.008 4.430171 29.65352 + 530 | 10.28863 4.079457 2.52 0.012 2.284063 18.2932 + 599 | .2655634 6.938072 0.04 0.969 -13.34808 13.87921 + 600 | 7.460383 5.450792 1.37 0.171 -3.234969 18.15574 + 601 | 13.77028 4.203359 3.28 0.001 5.522597 22.01796 + 602 | 14.22047 4.495435 3.16 0.002 5.399685 23.04125 + 603 | 3.304542 7.5013 0.44 0.660 -11.41425 18.02333 + 604 | 11.77015 9.167865 1.28 0.199 -6.218716 29.75901 + 606 | 20.2279 7.827158 2.58 0.010 4.869729 35.58608 + 607 | 24.92916 5.061475 4.93 0.000 14.99771 34.86061 + 609 | 13.77803 6.253157 2.20 0.028 1.508309 26.04776 + 698 | -5.331175 7.548899 -0.71 0.480 -20.14336 9.48101 + 699 | 17.54443 8.978524 1.95 0.051 -.0729127 35.16178 + 700 | 15.66628 5.010843 3.13 0.002 5.834178 25.49838 + 701 | 12.24896 4.716779 2.60 0.010 2.99386 21.50406 + 703 | 12.07111 5.274016 2.29 0.022 1.722621 22.4196 + 704 | 7.188222 4.603894 1.56 0.119 -1.845377 16.22182 + 705 | -2.623932 4.458193 -0.59 0.556 -11.37164 6.123778 + 707 | 4.551508 8.665828 0.53 0.600 -12.45228 21.55529 + 708 | 15.41805 8.883672 1.74 0.083 -2.013184 32.84928 + 709 | 14.39841 4.49566 3.20 0.001 5.577186 23.21964 + 710 | 15.38349 5.192827 2.96 0.003 5.194306 25.57267 + 711 | 16.62735 4.906241 3.39 0.001 7.000494 26.2542 + 798 | 23.24408 8.951971 2.60 0.010 5.678835 40.80932 + 799 | 2.622589 7.529606 0.35 0.728 -12.15174 17.39692 + 800 | 2.894605 4.921019 0.59 0.557 -6.761246 12.55046 + 801 | 8.459064 5.861413 1.44 0.149 -3.041996 19.96012 + 802 | 8.561316 4.898403 1.75 0.081 -1.05016 18.17279 + 803 | 5.358876 4.227546 1.27 0.205 -2.936266 13.65402 + 805 | 5.815196 7.249913 0.80 0.423 -8.410329 20.04072 + 806 | 7.926629 4.598843 1.72 0.085 -1.097061 16.95032 + 807 | 15.20206 5.223986 2.91 0.004 4.951736 25.45238 + 898 | 11.42036 9.140726 1.25 0.212 -6.515247 29.35598 + 899 | -2.789812 11.23794 -0.25 0.804 -24.8405 19.26088 + 1000 | 15.0194 5.070207 2.96 0.003 5.070817 24.96798 + 1001 | 26.45321 5.458297 4.85 0.000 15.74313 37.16329 + 1002 | 16.61796 4.454288 3.73 0.000 7.877913 25.35801 + 1003 | 12.77765 4.316032 2.96 0.003 4.308883 21.24642 + 1005 | 11.92705 5.671379 2.10 0.036 .7988648 23.05523 + 1006 | 16.52832 4.617052 3.58 0.000 7.468902 25.58774 + 1007 | 13.8296 4.428104 3.12 0.002 5.140925 22.51827 + 1010 | 18.37719 7.815833 2.35 0.019 3.041234 33.71314 + 1098 | 9.869962 7.124912 1.39 0.166 -4.110291 23.85021 + 1099 | -13.03172 4.429822 -2.94 0.003 -21.72376 -4.339678 + 1200 | 6.155196 5.635512 1.09 0.275 -4.902608 17.213 + 1201 | 15.04699 4.714009 3.19 0.001 5.797323 24.29665 + 1202 | 10.4024 5.524137 1.88 0.060 -.4368698 21.24167 + 1203 | 3.136156 4.401471 0.71 0.476 -5.500256 11.77257 + 1204 | 7.998348 4.261411 1.88 0.061 -.3632443 16.35994 + 1205 | 11.29121 5.066399 2.23 0.026 1.350099 21.23232 + 1206 | 13.09072 5.989458 2.19 0.029 1.338413 24.84302 + 1207 | 10.67994 4.57692 2.33 0.020 1.699265 19.66061 + 1208 | 16.02456 4.470592 3.58 0.000 7.252522 24.7966 + 1209 | 19.02611 4.335475 4.39 0.000 10.51919 27.53302 + 1210 | 5.588425 4.345227 1.29 0.199 -2.937627 14.11448 + 1211 | 12.34464 5.333263 2.31 0.021 1.879899 22.80938 + 1299 | 21.03579 6.717376 3.13 0.002 7.855189 34.21639 + 1300 | 7.715232 5.658995 1.36 0.173 -3.38865 18.81911 + 1301 | 23.74543 6.049418 3.93 0.000 11.87548 35.61539 + 1302 | 3.372468 5.655511 0.60 0.551 -7.724577 14.46951 + 1303 | 8.023265 4.83493 1.66 0.097 -1.463666 17.51019 + 1304 | 13.71633 5.379885 2.55 0.011 3.160107 24.27255 + 1305 | 16.88312 6.545888 2.58 0.010 4.03901 29.72723 + 1399 | 8.988272 9.882132 0.91 0.363 -10.4021 28.37865 + 1400 | 9.903007 5.50928 1.80 0.073 -.9071099 20.71312 + 1401 | 14.80475 5.714917 2.59 0.010 3.591136 26.01836 + 1403 | 9.205122 9.32534 0.99 0.324 -9.092733 27.50298 + 1404 | 11.50412 7.472242 1.54 0.124 -3.157654 26.16589 + 1405 | 19.30996 7.388609 2.61 0.009 4.812294 33.80763 + 1406 | 9.467192 5.398416 1.75 0.080 -1.125391 20.05978 + 1407 | 30.09705 6.984023 4.31 0.000 16.39325 43.80086 + 1408 | -4.337584 8.257911 -0.53 0.600 -20.54097 11.8658 + 1409 | 14.8759 7.962971 1.87 0.062 -.7487645 30.50056 + 1410 | 10.50655 5.341946 1.97 0.049 .0247684 20.98833 + 1499 | 13.51482 8.890501 1.52 0.129 -3.929808 30.95945 + 1500 | 7.250963 5.219748 1.39 0.165 -2.991043 17.49297 + 1501 | 9.555484 4.349433 2.20 0.028 1.02118 18.08979 + 1502 | 9.853541 4.292658 2.30 0.022 1.430639 18.27644 + 1504 | 10.64221 4.710327 2.26 0.024 1.399769 19.88465 + 1505 | 17.68637 4.974958 3.56 0.000 7.924677 27.44805 + 1507 | 11.19463 5.304085 2.11 0.035 .7871403 21.60212 + 1520 | 10.41608 4.657139 2.24 0.026 1.278005 19.55416 + 1521 | 8.229906 4.348143 1.89 0.059 -.3018675 16.76168 + 1522 | 21.96902 4.894757 4.49 0.000 12.3647 31.57334 + 1523 | 10.31631 4.512076 2.29 0.022 1.462874 19.16975 + 1524 | 17.33558 6.086566 2.85 0.004 5.392736 29.27843 + 1525 | 6.062411 4.869345 1.25 0.213 -3.492047 15.61687 + 1526 | 19.39717 4.942637 3.92 0.000 9.698905 29.09544 + 1599 | 18.61693 6.862247 2.71 0.007 5.15207 32.08179 + 1600 | 14.26114 4.905461 2.91 0.004 4.635816 23.88646 + 1602 | 7.758295 8.69293 0.89 0.372 -9.298667 24.81526 + 1603 | 11.13473 5.624382 1.98 0.048 .0987652 22.17069 + 1604 | 13.30703 7.770476 1.71 0.087 -1.939922 28.55399 + 1605 | 10.46343 6.455763 1.62 0.105 -2.203845 23.1307 + 1606 | 21.11327 6.334636 3.33 0.001 8.683671 33.54287 + 1608 | 17.47002 4.457737 3.92 0.000 8.723205 26.21683 + 1609 | 23.18988 4.403932 5.27 0.000 14.54864 31.83112 + 1610 | 4.329736 8.15923 0.53 0.596 -11.68002 20.33949 + 1611 | 14.89795 5.905644 2.52 0.012 3.310102 26.4858 + 1612 | 13.84256 5.690066 2.43 0.015 2.677707 25.0074 + 1614 | -2.052758 11.598 -0.18 0.860 -24.80994 20.70442 + 1615 | 14.07308 5.077705 2.77 0.006 4.109786 24.03638 + 1616 | 7.739207 5.396263 1.43 0.152 -2.849152 18.32757 + 1617 | 10.53975 7.875663 1.34 0.181 -4.913602 25.9931 + 1619 | 3.712511 5.524003 0.67 0.502 -7.126495 14.55152 + 1620 | 11.31909 7.096157 1.60 0.111 -2.604743 25.24292 + 1698 | 13.3392 8.53638 1.56 0.118 -3.410581 30.08899 + 1699 | 17.27108 5.284952 3.27 0.001 6.90113 27.64103 + 1700 | 5.689797 6.807719 0.84 0.403 -7.66807 19.04766 + 1701 | 9.174286 5.622439 1.63 0.103 -1.857867 20.20644 + 1704 | 12.44088 6.127602 2.03 0.043 .4175173 24.46425 + 1705 | 4.778522 11.76559 0.41 0.685 -18.30751 27.86455 + 1706 | 12.89961 4.840474 2.66 0.008 3.401797 22.39742 + 1707 | 10.67778 4.905552 2.18 0.030 1.052278 20.30328 + 1708 | 12.95108 6.045041 2.14 0.032 1.089711 24.81245 + 1709 | 20.04144 4.948591 4.05 0.000 10.33148 29.75139 + 1798 | 16.91025 5.345519 3.16 0.002 6.421461 27.39904 + 1799 | 7.686325 11.50459 0.67 0.504 -14.88758 30.26023 + 1800 | 7.07937 5.179869 1.37 0.172 -3.084389 17.24313 + 1802 | 14.3357 4.819792 2.97 0.003 4.878477 23.79293 + 1803 | 4.26162 4.601344 0.93 0.355 -4.766976 13.29022 + 1804 | 12.73629 5.463066 2.33 0.020 2.016854 23.45573 + 1806 | -2.572411 5.04198 -0.51 0.610 -12.46561 7.320785 + 1807 | -4.311176 3.973898 -1.08 0.278 -12.10862 3.486269 + 1808 | -2.183329 5.149108 -0.42 0.672 -12.28673 7.920069 + 1899 | -20.95884 4.204838 -4.98 0.000 -29.20943 -12.70826 + 1900 | 6.092901 5.281038 1.15 0.249 -4.269366 16.45517 + 1901 | 6.203283 4.732357 1.31 0.190 -3.082382 15.48895 + 1902 | 19.12811 6.721374 2.85 0.005 5.939666 32.31656 + 1905 | 27.97378 8.041779 3.48 0.001 12.19448 43.75308 + 1906 | 11.91385 5.750072 2.07 0.039 .6312653 23.19644 + 1907 | 20.35647 6.764582 3.01 0.003 7.083248 33.6297 + 1908 | 12.64668 8.602514 1.47 0.142 -4.232872 29.52623 + 1909 | 34.49479 7.911105 4.36 0.000 18.9719 50.01768 + 1910 | 15.23581 11.53999 1.32 0.187 -7.40755 37.87918 + 1911 | 14.494 11.45247 1.27 0.206 -7.977643 36.96565 + 1912 | -4.367116 4.342813 -1.01 0.315 -12.88843 4.1542 + 1914 | 9.424024 6.379444 1.48 0.140 -3.093498 21.94155 + 1915 | 15.76745 9.716691 1.62 0.105 -3.298301 34.8332 + 1919 | 12.38644 5.657234 2.19 0.029 1.286012 23.48687 + 1920 | 4.307142 5.272644 0.82 0.414 -6.038655 14.65294 + 1925 | 21.59397 5.529273 3.91 0.000 10.74463 32.44332 + 1926 | 2.856394 5.132411 0.56 0.578 -7.214244 12.92703 + 1927 | 4.449627 4.734758 0.94 0.348 -4.840749 13.74 + 1929 | 7.989444 5.453653 1.46 0.143 -2.711523 18.69041 + 1999 | 14.71873 18.90196 0.78 0.436 -22.37003 51.80749 + 2000 | 6.574703 4.138653 1.59 0.112 -1.546017 14.69542 + 2001 | 5.99044 4.95124 1.21 0.227 -3.724709 15.70559 + 2002 | 6.270789 4.332657 1.45 0.148 -2.230598 14.77218 + 2003 | 11.23651 4.853621 2.32 0.021 1.712899 20.76011 + 2004 | 12.66363 4.262794 2.97 0.003 4.299322 21.02793 + 2005 | 1.417283 5.501326 0.26 0.797 -9.377226 12.21179 + 2006 | 25.2148 4.558895 5.53 0.000 16.26949 34.1601 + 2007 | 1.606204 5.399431 0.30 0.766 -8.98837 12.20078 + 2008 | 21.51523 4.192042 5.13 0.000 13.28975 29.74071 + 2009 | -.3897723 5.797179 -0.07 0.946 -11.76479 10.98525 + 2011 | 2.656005 4.04679 0.66 0.512 -5.284464 10.59647 + 2012 | -.3692059 4.136872 -0.09 0.929 -8.486431 7.748019 + 2013 | 7.392334 6.658149 1.11 0.267 -5.672052 20.45672 + 2014 | 5.66762 5.719335 0.99 0.322 -5.554659 16.8899 + 2015 | 11.05934 7.077359 1.56 0.118 -2.827609 24.94628 + 2030 | 7.551539 6.100507 1.24 0.216 -4.418663 19.52174 + 2099 | 7.56666 5.439727 1.39 0.165 -3.106983 18.2403 + 2100 | 4.917391 4.866102 1.01 0.312 -4.630704 14.46549 + 2101 | 18.32108 4.192379 4.37 0.000 10.09494 26.54722 + 2102 | 12.51696 4.263216 2.94 0.003 4.151827 20.88209 + 2103 | 5.544131 4.111904 1.35 0.178 -2.524102 13.61236 + 2104 | 8.367427 4.202071 1.99 0.047 .1222698 16.61258 + 2105 | 21.85648 5.79628 3.77 0.000 10.48322 33.22974 + 2199 | -12.87469 5.247146 -2.45 0.014 -23.17046 -2.578926 + 9999 | 1.413535 5.302619 0.27 0.790 -8.991079 11.81815 + | + house_administration | -2.50015 1.744466 -1.43 0.152 -5.923081 .9227807 + house_agriculture | .481437 1.320094 0.36 0.715 -2.108805 3.071679 + house_appropriations | -17.35924 1.396001 -12.43 0.000 -20.09843 -14.62006 + house_armedservices | -.2822113 1.279575 -0.22 0.825 -2.792949 2.228527 + house_budget | -1.485174 1.647478 -0.90 0.368 -4.717797 1.747448 + house_dc | 5.664239 5.672184 1.00 0.318 -5.465521 16.794 + house_educlabor | -.9072068 1.205521 -0.75 0.452 -3.272639 1.458225 + house_energycommerce | 4.843335 .8125601 5.96 0.000 3.248958 6.437712 + house_foreignaffairs | 4.483229 2.308912 1.94 0.052 -.0472366 9.013695 + house_governmentop | 1.833091 1.778333 1.03 0.303 -1.656293 5.322474 + house_intelligence | -13.8602 2.865708 -4.84 0.000 -19.48319 -8.237206 + house_interior | 2.768471 2.170622 1.28 0.202 -1.490647 7.027589 + house_judiciary | -2.173194 .776149 -2.80 0.005 -3.696127 -.650262 + house_mmf | 3.714276 2.626749 1.41 0.158 -1.439838 8.868391 + house_pocs | 1.447702 1.977947 0.73 0.464 -2.433357 5.328761 + house_pwt | -1.5064 2.040132 -0.74 0.460 -5.509475 2.496675 + house_rules | -3.324526 1.238789 -2.68 0.007 -5.755234 -.8938186 + house_sst | -.3547287 5.320024 -0.07 0.947 -10.79349 10.08404 + house_smallbusi | 3.286471 2.893429 1.14 0.256 -2.390914 8.963856 + house_soc | 2.563076 4.088361 0.63 0.531 -5.458962 10.58511 + house_veterans | 4.070698 1.769887 2.30 0.022 .5978882 7.543508 + house_waysandmeans | -.8657258 .7304905 -1.19 0.236 -2.299069 .5676171 +house_naturalresources | 2.988959 1.71489 1.74 0.082 -.3759387 6.353856 + house_bfs | -.142452 1.099386 -0.13 0.897 -2.299629 2.014725 + house_eeo | -7.822419 2.063269 -3.79 0.000 -11.87089 -3.773945 + house_govreform | 1.6929 1.233926 1.37 0.170 -.7282664 4.114066 + house_ir | 5.273673 1.634933 3.23 0.001 2.065665 8.481681 + house_natsecur | -.5014934 2.70059 -0.19 0.853 -5.800497 4.79751 + house_oversight | .6010759 1.621789 0.37 0.711 -2.581142 3.783294 + house_resources | -5.663637 1.280016 -4.42 0.000 -8.17524 -3.152035 + house_science | 3.356154 1.870842 1.79 0.073 -.3147469 7.027054 + house_transp | 5.291161 1.474283 3.59 0.000 2.398375 8.183948 + house_homeland | -4.087629 1.853829 -2.20 0.028 -7.725148 -.45011 + sponsor_democrat | 0 (omitted) + sponsor_rookie | 0 (omitted) + sponsor_tenure_run | -.0571056 .1305498 -0.44 0.662 -.3132658 .1990545 + sponsor_age | .0669653 .040752 1.64 0.101 -.0129967 .1469274 + leader | -1.054237 .6902891 -1.53 0.127 -2.408698 .3002242 + ivycoll | 1.127783 1.086947 1.04 0.300 -1.004986 3.260551 + black | 0 (omitted) + occ0 | 2.020222 1.147922 1.76 0.079 -.2321901 4.272634 + occ1 | 1.063725 1.310888 0.81 0.417 -1.508454 3.635904 + occ2 | 1.723098 1.031574 1.67 0.095 -.3010199 3.747216 + occ3 | -5.247643 1.261815 -4.16 0.000 -7.723532 -2.771754 + occ4 | .7943172 1.021145 0.78 0.437 -1.209337 2.797972 + borninstate | 2.038419 .6513207 3.13 0.002 .7604198 3.316417 + tot_bills | -.0659316 .0297754 -2.21 0.027 -.1243558 -.0075073 + NE | 3.860736 1.034189 3.73 0.000 1.831486 5.889985 + MW | 1.223716 .7984713 1.53 0.126 -.3430163 2.790449 + WE | -.6531042 1.047187 -0.62 0.533 -2.707858 1.40165 + pct_black | 4.52413 4.188511 1.08 0.280 -3.694421 12.74268 + pct_urban | -1.016712 2.438802 -0.42 0.677 -5.802044 3.768621 + pct_for_born | 7.536761 6.521817 1.16 0.248 -5.26012 20.33364 + pct_age_over65 | 45.11835 7.519375 6.00 0.000 30.36409 59.8726 + lninc | 8.090998 2.355666 3.43 0.001 3.468792 12.7132 + lnpden | -.1499251 .3787069 -0.40 0.692 -.8930105 .5931603 + _cons | -85.41168 23.07959 -3.70 0.000 -130.6976 -40.12572 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,080 1 0 1 1 + + +j = 2 k = 1 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11989 +----------------------+---------------------- NN matches = 3 + Number of obs | 6150 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 15.71586 27.17455 .5783301 +---------------------------------------------- +reg pct_cosponsors_opposite sponsor_female i.v2 MV1_female femaleXMV1_female if tag_bill==1 & sample==1 & abs(MV1_female)<=15.71585796583268 & tenured==1, robust cl +> uster(group_sponsor) + +Linear regression Number of obs = 858 + F(12, 53) = . + Prob > F = . + R-squared = 0.1453 + Root MSE = 22.682 + + (Std. Err. adjusted for 54 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust +pct_cosponsors_~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | 19.33457 6.249671 3.09 0.003 6.799318 31.86982 + | + v2 | + 102 | -16.57537 3.167738 -5.23 0.000 -22.92904 -10.22169 + 103 | -18.38437 3.692175 -4.98 0.000 -25.78993 -10.9788 + 104 | -17.59037 7.667616 -2.29 0.026 -32.96966 -2.211082 + 105 | -17.54246 4.011549 -4.37 0.000 -25.58861 -9.496314 + 106 | -26.15201 3.755647 -6.96 0.000 -33.68489 -18.61914 + 107 | -6.47285 4.665101 -1.39 0.171 -15.82986 2.884158 + 108 | -3.312049 5.676085 -0.58 0.562 -14.69683 8.072735 + 109 | -17.40356 3.155941 -5.51 0.000 -23.73357 -11.07354 + 110 | -23.77629 2.948127 -8.06 0.000 -29.68949 -17.8631 + 111 | -19.81963 4.24417 -4.67 0.000 -28.33236 -11.3069 + | + MV1_female | .8096305 .3592135 2.25 0.028 .0891394 1.530121 +femaleXMV1_female | -2.801943 .6084728 -4.60 0.000 -4.022385 -1.581501 + _cons | 37.43784 4.162294 8.99 0.000 29.08934 45.78635 +----------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 54 1 0 1 1 + + +j = 2 k = 2 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6186 +----------------------+---------------------- NN matches = 3 + Number of obs | 2192 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 24.47749 44.63704 .5483673 +---------------------------------------------- +reg pct_cosponsors_opposite sponsor_female i.v2 MV1_female femaleXMV1_female if sponsor_party==100 & tag_bill==1 & sample==1 & abs(MV1_female)<=24.47749468504319 & +> tenured==1, robust cluster(group_sponsor) + +Linear regression Number of obs = 557 + F(10, 36) = . + Prob > F = . + R-squared = 0.0467 + Root MSE = 17.556 + + (Std. Err. adjusted for 37 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust +pct_cosponsors_~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | .6475958 5.286791 0.12 0.903 -10.07451 11.3697 + | + v2 | + 102 | -10.12522 2.432141 -4.16 0.000 -15.05783 -5.19261 + 103 | -2.256892 3.526894 -0.64 0.526 -9.409763 4.89598 + 104 | -8.879988 6.368847 -1.39 0.172 -21.79661 4.036633 + 105 | -5.385737 4.260515 -1.26 0.214 -14.02646 3.254989 + 108 | -5.868216 2.354939 -2.49 0.017 -10.64425 -1.092179 + 109 | -7.700511 3.11079 -2.48 0.018 -14.00949 -1.391536 + 110 | -12.08694 3.120087 -3.87 0.000 -18.41477 -5.75911 + 111 | -5.561224 3.011057 -1.85 0.073 -11.66793 .5454832 + | + MV1_female | .1691916 .141961 1.19 0.241 -.1187187 .4571019 +femaleXMV1_female | -.1871379 .4589315 -0.41 0.686 -1.117894 .7436183 + _cons | 19.07674 3.390176 5.63 0.000 12.20114 25.95233 +----------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 37 1 0 1 1 + + +j = 2 k = 3 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 11.12081 18.1168 .6138395 +---------------------------------------------- +reg pct_cosponsors_opposite sponsor_female i.v2 MV1_female femaleXMV1_female if sponsor_party==200 & tag_bill==1 & sample==1 & abs(MV1_female)<=11.12080711935322 & +> tenured==1, robust cluster(group_sponsor) + +Linear regression Number of obs = 318 + F(8, 19) = . + Prob > F = . + R-squared = 0.1731 + Root MSE = 26.981 + + (Std. Err. adjusted for 20 clusters in group_sponsor) +----------------------------------------------------------------------------------- + | Robust +pct_cosponsors_~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------+---------------------------------------------------------------- + sponsor_female | 14.38387 4.643163 3.10 0.006 4.665614 24.10212 + | + v2 | + 102 | -17.5054 3.268207 -5.36 0.000 -24.34583 -10.66496 + 103 | -26.15268 3.807415 -6.87 0.000 -34.12169 -18.18367 + 106 | -39.56862 4.289963 -9.22 0.000 -48.54762 -30.58962 + 107 | -11.93351 4.302835 -2.77 0.012 -20.93945 -2.92757 + 108 | -2.519354 1.712519 -1.47 0.158 -6.103698 1.06499 + 109 | -22.3065 5.480629 -4.07 0.001 -33.77759 -10.83542 + 110 | -29.58678 3.372839 -8.77 0.000 -36.64621 -22.52735 + 111 | -23.50287 3.893109 -6.04 0.000 -31.65124 -15.3545 + | + MV1_female | 2.06619 .5054284 4.09 0.001 1.008316 3.124064 +femaleXMV1_female | -4.78457 .8191402 -5.84 0.000 -6.49905 -3.07009 + _cons | 52.72242 5.04132 10.46 0.000 42.17081 63.27402 +----------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 20 1 0 1 1 + + +j = 3 k = 1 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11989 +----------------------+---------------------- NN matches = 3 + Number of obs | 6150 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 15.71586 27.17455 .5783301 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(56,021 missing values generated) +(59,211 missing values generated) +(3,190 real changes made) +reg pct_cosponsors_opposite sponsor_female i.v2 MV1_female femaleXMV1_female i.minor house_* [aw=wt] if tag_bill==1 & sample==1 & tenured==1 & abs(MV1_female)<=15.7 +> 1585796583268, robust cluster(group_sponsor) +(sum of wgt is 1,647.60355019569) +note: house_dc omitted because of collinearity + +Linear regression Number of obs = 858 + F(52, 53) = . + Prob > F = . + R-squared = 0.4781 + Root MSE = 21.807 + + (Std. Err. adjusted for 54 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 19.14747 7.341588 2.61 0.012 4.422114 33.87283 + | + v2 | + 102 | -6.766111 6.797657 -1.00 0.324 -20.40048 6.868264 + 103 | -12.12009 6.131326 -1.98 0.053 -24.41797 .1777895 + 104 | -.4382201 9.635163 -0.05 0.964 -19.76391 18.88747 + 105 | -18.19086 5.898631 -3.08 0.003 -30.02202 -6.359704 + 106 | -17.27335 7.955775 -2.17 0.034 -33.23061 -1.316088 + 107 | 7.231246 8.068745 0.90 0.374 -8.952607 23.4151 + 108 | 5.498447 9.004992 0.61 0.544 -12.56328 23.56017 + 109 | -7.935612 5.542291 -1.43 0.158 -19.05204 3.180816 + 110 | -15.66781 5.564695 -2.82 0.007 -26.82918 -4.506449 + 111 | -14.3028 6.354104 -2.25 0.029 -27.04752 -1.558077 + | + MV1_female | .4320182 .4132086 1.05 0.301 -.3967732 1.26081 + femaleXMV1_female | -2.380634 .8067768 -2.95 0.005 -3.998823 -.7624443 + | + minor | + 101 | 44.78334 19.86871 2.25 0.028 4.931761 84.63492 + 103 | 1.882796 17.14005 0.11 0.913 -32.49579 36.26138 + 104 | 17.50149 33.5416 0.52 0.604 -49.77445 84.77742 + 105 | 28.49629 29.61339 0.96 0.340 -30.90064 87.89322 + 107 | 6.00267 18.34234 0.33 0.745 -30.78741 42.79275 + 108 | -2.23144 18.2422 -0.12 0.903 -38.82066 34.35778 + 200 | 33.34078 22.13324 1.51 0.138 -11.05288 77.73443 + 202 | 57.40865 17.31674 3.32 0.002 22.67566 92.14163 + 204 | -17.47422 19.886 -0.88 0.384 -57.36049 22.41204 + 205 | 16.50336 20.96204 0.79 0.435 -25.54117 58.5479 + 207 | 2.88098 17.96474 0.16 0.873 -33.15172 38.91368 + 208 | 24.65565 21.17955 1.16 0.250 -17.82516 67.13646 + 300 | 12.87025 29.40576 0.44 0.663 -46.11022 71.85073 + 301 | 2.258033 19.27863 0.12 0.907 -36.41001 40.92608 + 302 | 18.28286 20.06265 0.91 0.366 -21.95771 58.52344 + 321 | 23.80217 20.90608 1.14 0.260 -18.13012 65.73447 + 322 | 16.39313 21.8576 0.75 0.457 -27.44766 60.23391 + 323 | 17.0604 32.6864 0.52 0.604 -48.50021 82.62101 + 324 | -8.334214 21.6964 -0.38 0.702 -51.85169 35.18326 + 325 | 28.32217 22.03992 1.29 0.204 -15.88431 72.52865 + 331 | 43.62936 18.31523 2.38 0.021 6.893658 80.36507 + 332 | 22.25255 19.84115 1.12 0.267 -17.54375 62.04885 + 333 | 32.48498 22.38339 1.45 0.153 -12.41041 77.38038 + 334 | 21.73045 21.46867 1.01 0.316 -21.33024 64.79114 + 335 | 8.800681 18.67667 0.47 0.639 -28.65997 46.26133 + 336 | 24.97161 18.63685 1.34 0.186 -12.40916 62.35239 + 341 | 19.66273 20.47799 0.96 0.341 -21.41091 60.73637 + 343 | 37.35247 17.03485 2.19 0.033 3.184885 71.52006 + 398 | 32.37043 25.82636 1.25 0.216 -19.43069 84.17154 + 399 | 42.82875 19.21126 2.23 0.030 4.295852 81.36165 + 400 | 11.57316 20.94454 0.55 0.583 -30.43628 53.58259 + 401 | -5.733328 18.29084 -0.31 0.755 -42.4201 30.95345 + 402 | -19.90749 17.57138 -1.13 0.262 -55.15122 15.33624 + 405 | -14.80246 20.49276 -0.72 0.473 -55.90573 26.30081 + 500 | -18.66866 17.28085 -1.08 0.285 -53.32965 15.99232 + 501 | -18.74567 18.79211 -1.00 0.323 -56.43788 18.94653 + 502 | -9.659272 19.54064 -0.49 0.623 -48.85283 29.53429 + 503 | 8.394208 20.07883 0.42 0.678 -31.87882 48.66724 + 504 | -.5964019 23.40232 -0.03 0.980 -47.53552 46.34271 + 505 | -7.444632 20.8341 -0.36 0.722 -49.23255 34.34328 + 506 | -17.80182 20.48296 -0.87 0.389 -58.88544 23.28181 + 508 | 12.08037 20.37292 0.59 0.556 -28.78253 52.94327 + 530 | 11.99354 17.73971 0.68 0.502 -23.58781 47.57488 + 599 | 20.27093 17.84362 1.14 0.261 -15.51884 56.06071 + 600 | -4.360177 27.26637 -0.16 0.874 -59.04959 50.32924 + 601 | 10.41476 20.50168 0.51 0.614 -30.7064 51.53592 + 602 | 2.880908 19.4711 0.15 0.883 -36.17318 41.935 + 603 | -1.143001 21.29834 -0.05 0.957 -43.86207 41.57607 + 606 | -22.64676 21.71037 -1.04 0.302 -66.19224 20.89872 + 607 | -11.41556 19.81419 -0.58 0.567 -51.1578 28.32667 + 609 | 5.785481 21.27971 0.27 0.787 -36.8962 48.46716 + 698 | 29.23012 17.99055 1.62 0.110 -6.854367 65.3146 + 700 | .0090921 17.73741 0.00 1.000 -35.56766 35.58584 + 701 | 34.91374 24.25571 1.44 0.156 -13.73705 83.56453 + 703 | 14.62903 18.09758 0.81 0.423 -21.67012 50.92819 + 704 | 18.85076 19.69809 0.96 0.343 -20.65862 58.36013 + 705 | 22.12546 25.59679 0.86 0.391 -29.21519 73.46611 + 707 | -9.368831 17.86223 -0.52 0.602 -45.19593 26.45827 + 708 | 6.36581 17.91554 0.36 0.724 -29.56821 42.29983 + 709 | 16.41625 19.41003 0.85 0.401 -22.51535 55.34785 + 710 | 29.48871 19.65539 1.50 0.139 -9.935007 68.91242 + 711 | -10.63347 18.08041 -0.59 0.559 -46.89819 25.63125 + 798 | 28.71683 20.56056 1.40 0.168 -12.52243 69.95609 + 799 | -8.796433 20.72901 -0.42 0.673 -50.37355 32.78069 + 801 | 2.574455 17.04531 0.15 0.881 -31.6141 36.76301 + 802 | 21.75668 21.34628 1.02 0.313 -21.05853 64.5719 + 803 | 5.411314 21.18382 0.26 0.799 -37.07806 47.90068 + 805 | -8.15209 18.38038 -0.44 0.659 -45.01847 28.71429 + 806 | 2.797108 18.31729 0.15 0.879 -33.94271 39.53693 + 807 | 14.232 18.19933 0.78 0.438 -22.27124 50.73524 + 898 | -11.04767 28.63023 -0.39 0.701 -68.47264 46.37729 + 1001 | 23.06582 17.59567 1.31 0.196 -12.22663 58.35828 + 1002 | .3847586 17.5392 0.02 0.983 -34.79442 35.56394 + 1003 | 56.36092 18.04923 3.12 0.003 20.15876 92.56309 + 1006 | 17.21369 17.25328 1.00 0.323 -17.392 51.81938 + 1007 | -15.3591 19.48748 -0.79 0.434 -54.44604 23.72783 + 1010 | 43.72992 17.45736 2.50 0.015 8.714889 78.74495 + 1201 | 10.14582 20.57845 0.49 0.624 -31.12932 51.42096 + 1202 | 3.834544 17.96381 0.21 0.832 -32.19629 39.86538 + 1203 | 40.69906 20.0512 2.03 0.047 .4814509 80.91667 + 1207 | 29.37684 18.44394 1.59 0.117 -7.617015 66.37069 + 1208 | 23.7889 21.39376 1.11 0.271 -19.12154 66.69935 + 1209 | 24.35198 20.8739 1.17 0.249 -17.51575 66.21972 + 1210 | 18.0133 19.82015 0.91 0.368 -21.74088 57.76749 + 1300 | 5.809583 19.99947 0.29 0.773 -34.30427 45.92344 + 1301 | -2.933743 19.95679 -0.15 0.884 -42.96199 37.0945 + 1302 | 52.04096 18.2064 2.86 0.006 15.52355 88.55837 + 1303 | 19.99233 20.16468 0.99 0.326 -20.45289 60.43754 + 1304 | 19.59391 20.54239 0.95 0.345 -21.6089 60.79672 + 1401 | -1.167554 17.70485 -0.07 0.948 -36.67898 34.34388 + 1404 | 19.52426 29.71729 0.66 0.514 -40.08108 79.1296 + 1405 | 40.68046 17.77189 2.29 0.026 5.034568 76.32635 + 1406 | 27.60169 19.12796 1.44 0.155 -10.76415 65.96752 + 1407 | -17.24325 17.74285 -0.97 0.336 -52.83091 18.3444 + 1408 | -11.44988 19.64925 -0.58 0.563 -50.86128 27.96152 + 1409 | 16.6475 29.63726 0.56 0.577 -42.79732 76.09232 + 1410 | -2.393897 18.52133 -0.13 0.898 -39.54298 34.75518 + 1500 | 14.23616 29.8317 0.48 0.635 -45.59865 74.07098 + 1501 | 17.36959 19.06447 0.91 0.366 -20.86889 55.60806 + 1502 | 16.06519 24.58109 0.65 0.516 -33.23824 65.36861 + 1504 | 6.696281 18.79021 0.36 0.723 -30.9921 44.38467 + 1505 | 6.541495 18.13667 0.36 0.720 -29.83606 42.91905 + 1520 | 11.60092 19.72447 0.59 0.559 -27.96135 51.1632 + 1521 | 13.73306 16.60461 0.83 0.412 -19.57156 47.03768 + 1523 | 7.051295 19.16894 0.37 0.714 -31.39673 45.49932 + 1524 | 27.43113 19.41957 1.41 0.164 -11.5196 66.38185 + 1525 | 6.186118 21.00678 0.29 0.770 -35.94815 48.32038 + 1526 | 20.81013 24.52488 0.85 0.400 -28.38056 70.00081 + 1600 | 36.75821 14.94719 2.46 0.017 6.777949 66.73848 + 1603 | -13.83886 23.75467 -0.58 0.563 -61.4847 33.80697 + 1604 | 5.601686 19.12796 0.29 0.771 -32.76415 43.96752 + 1605 | 10.31497 18.86701 0.55 0.587 -27.52746 48.1574 + 1608 | 8.12958 17.21303 0.47 0.639 -26.39538 42.65454 + 1609 | 15.02481 20.9921 0.72 0.477 -27.08001 57.12964 + 1611 | -50.91587 20.82559 -2.44 0.018 -92.68671 -9.145024 + 1612 | 8.654909 22.77221 0.38 0.705 -37.02035 54.33017 + 1614 | 9.62188 20.2294 0.48 0.636 -30.95317 50.19693 + 1615 | 12.45905 19.18337 0.65 0.519 -26.01793 50.93602 + 1616 | -13.81058 17.81528 -0.78 0.442 -49.54351 21.92236 + 1619 | 7.088127 27.40048 0.26 0.797 -47.87027 62.04653 + 1620 | 7.622823 19.52119 0.39 0.698 -31.53172 46.77737 + 1698 | -7.02378 19.45505 -0.36 0.720 -46.04566 31.99811 + 1699 | 15.51227 18.8602 0.82 0.414 -22.3165 53.34104 + 1700 | -5.349887 18.78503 -0.28 0.777 -43.02788 32.32811 + 1706 | 23.09567 26.66024 0.87 0.390 -30.378 76.56934 + 1707 | -4.319743 22.59928 -0.19 0.849 -49.64816 41.00868 + 1708 | 18.73148 18.92656 0.99 0.327 -19.2304 56.69335 + 1709 | 12.94035 17.29769 0.75 0.458 -21.75441 47.63512 + 1798 | -1.771831 18.79 -0.09 0.925 -39.4598 35.91613 + 1800 | 37.47288 22.62751 1.66 0.104 -7.912151 82.85791 + 1802 | 1.768097 18.72137 0.09 0.925 -35.78221 39.31841 + 1803 | -7.69283 16.95094 -0.45 0.652 -41.6921 26.30644 + 1804 | 34.59255 32.76917 1.06 0.296 -31.13408 100.3192 + 1806 | 26.1154 19.74302 1.32 0.192 -13.48408 65.71488 + 1807 | -4.256318 18.89857 -0.23 0.823 -42.16204 33.64941 + 1808 | -2.815938 17.89922 -0.16 0.876 -38.71723 33.08535 + 1900 | 59.97515 18.71262 3.21 0.002 22.44239 97.50791 + 1901 | 1.214304 20.86012 0.06 0.954 -40.62579 43.0544 + 1905 | 25.57621 25.08728 1.02 0.313 -24.7425 75.89492 + 1906 | 53.53749 17.73695 3.02 0.004 17.96166 89.11331 + 1907 | 2.236317 19.26998 0.12 0.908 -36.41436 40.88699 + 1909 | 49.38077 18.68867 2.64 0.011 11.89605 86.86549 + 1910 | 13.08154 19.69059 0.66 0.509 -26.41278 52.57585 + 1914 | -4.430349 19.26998 -0.23 0.819 -43.08102 34.22033 + 1915 | 11.33321 19.66927 0.58 0.567 -28.11836 50.78478 + 1919 | 2.962084 17.10017 0.17 0.863 -31.33652 37.26069 + 1925 | 44.01771 17.50293 2.51 0.015 8.911279 79.12414 + 1926 | 10.88062 18.83302 0.58 0.566 -26.89365 48.65488 + 1927 | -10.00501 17.93881 -0.56 0.579 -45.98571 25.97569 + 1929 | -9.765936 19.84339 -0.49 0.625 -49.56674 30.03487 + 2000 | 21.8082 18.41614 1.18 0.242 -15.12991 58.7463 + 2001 | 1.894448 19.39309 0.10 0.923 -37.00316 40.79205 + 2002 | 10.88198 19.68326 0.55 0.583 -28.59765 50.3616 + 2003 | 33.94593 17.30211 1.96 0.055 -.7577204 68.64957 + 2004 | 16.86269 18.1147 0.93 0.356 -19.47079 53.19617 + 2005 | 14.4849 24.52852 0.59 0.557 -34.71308 63.68288 + 2006 | 22.05128 20.06871 1.10 0.277 -18.20145 62.30401 + 2007 | -17.46181 17.33797 -1.01 0.318 -52.23738 17.31376 + 2008 | -.7597091 17.52006 -0.04 0.966 -35.90049 34.38107 + 2011 | -19.03953 17.6692 -1.08 0.286 -54.47946 16.4004 + 2012 | 8.866601 21.79489 0.41 0.686 -34.8484 52.58161 + 2014 | -13.5148 18.88686 -0.72 0.477 -51.39704 24.36744 + 2015 | 45.32034 19.66335 2.30 0.025 5.880663 84.76002 + 2100 | 2.226101 20.7229 0.11 0.915 -39.33877 43.79097 + 2101 | 11.57576 18.13725 0.64 0.526 -24.80297 47.95448 + 2102 | 4.788475 19.90191 0.24 0.811 -35.1297 44.70665 + 2103 | 6.842103 18.45005 0.37 0.712 -30.16401 43.84821 + 2104 | 4.638266 19.49318 0.24 0.813 -34.46011 43.73664 + 2105 | 13.94148 26.35743 0.53 0.599 -38.92483 66.80779 + | + house_administration | -16.90405 10.26011 -1.65 0.105 -37.48323 3.675134 + house_agriculture | .2057693 5.196864 0.04 0.969 -10.21782 10.62936 + house_appropriations | -7.729427 5.946044 -1.30 0.199 -19.65568 4.196827 + house_armedservices | -4.776004 9.485154 -0.50 0.617 -23.80081 14.24881 + house_budget | -35.03078 19.48002 -1.80 0.078 -74.10276 4.041192 + house_dc | 0 (omitted) + house_educlabor | 15.61024 7.440266 2.10 0.041 .6869518 30.53352 + house_energycommerce | -11.89337 4.273892 -2.78 0.007 -20.46571 -3.321027 + house_foreignaffairs | 1.907551 6.744197 0.28 0.778 -11.6196 15.4347 + house_governmentop | -3.939724 9.126677 -0.43 0.668 -22.24552 14.36607 + house_intelligence | 5.333111 19.29131 0.28 0.783 -33.36036 44.02658 + house_interior | .2676579 6.68046 0.04 0.968 -13.13165 13.66696 + house_judiciary | -3.431864 4.015712 -0.85 0.397 -11.48636 4.622633 + house_mmf | 4.89613 11.66146 0.42 0.676 -18.4938 28.28606 + house_pocs | 2.736527 5.724025 0.48 0.635 -8.744414 14.21747 + house_pwt | -9.3823 6.026888 -1.56 0.125 -21.47071 2.706106 + house_rules | 12.38651 9.544833 1.30 0.200 -6.758001 31.53102 + house_sst | 47.72802 13.64238 3.50 0.001 20.36488 75.09117 + house_smallbusi | -43.01027 20.6696 -2.08 0.042 -84.46825 -1.552297 + house_soc | 2.637323 12.85805 0.21 0.838 -23.15265 28.4273 + house_veterans | -5.497948 7.799174 -0.70 0.484 -21.14111 10.14521 + house_waysandmeans | 1.680555 3.999242 0.42 0.676 -6.340909 9.702019 +house_naturalresources | 4.728093 6.795052 0.70 0.490 -8.901056 18.35724 + house_bfs | 1.141373 5.481327 0.21 0.836 -9.852777 12.13552 + house_eeo | -14.60017 12.68357 -1.15 0.255 -40.04019 10.83985 + house_govreform | -8.813051 5.895627 -1.49 0.141 -20.63818 3.012079 + house_ir | -.6224879 6.210405 -0.10 0.921 -13.07898 11.83401 + house_natsecur | 35.08491 7.318649 4.79 0.000 20.40555 49.76426 + house_oversight | 26.22667 8.04245 3.26 0.002 10.09556 42.35778 + house_resources | 3.088695 4.268656 0.72 0.473 -5.473144 11.65053 + house_science | -11.46794 11.11215 -1.03 0.307 -33.75609 10.8202 + house_transp | -2.964058 8.512509 -0.35 0.729 -20.03799 14.10987 + house_homeland | -18.8033 8.702027 -2.16 0.035 -36.25736 -1.349245 + _cons | 18.02504 20.874 0.86 0.392 -23.8429 59.89297 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 54 1 0 1 1 + + +j = 3 k = 2 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6186 +----------------------+---------------------- NN matches = 3 + Number of obs | 2192 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 24.47749 44.63704 .5483673 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(58,852 missing values generated) +(60,100 missing values generated) +(1,248 real changes made) +reg pct_cosponsors_opposite sponsor_female i.v2 MV1_female femaleXMV1_female i.minor house_* [aw=wt] if sponsor_party==100 & tag_bill==1 & sample==1 & tenured==1 & +> abs(MV1_female)<=24.47749468504319, robust cluster(group_sponsor) +(sum of wgt is 3,279.36036968231) +note: house_soc omitted because of collinearity +note: house_homeland omitted because of collinearity + +Linear regression Number of obs = 557 + F(35, 36) = . + Prob > F = . + R-squared = 0.3079 + Root MSE = 15.091 + + (Std. Err. adjusted for 37 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -9.148821 6.168162 -1.48 0.147 -21.65843 3.360791 + | + v2 | + 102 | -5.659283 3.728411 -1.52 0.138 -13.22085 1.902284 + 103 | 5.86559 7.306448 0.80 0.427 -8.952574 20.68375 + 104 | -.1818133 9.05353 -0.02 0.984 -18.54322 18.1796 + 105 | -4.935286 5.212633 -0.95 0.350 -15.507 5.636424 + 108 | .9555944 3.968042 0.24 0.811 -7.091968 9.003157 + 109 | -3.253271 4.342469 -0.75 0.459 -12.06021 5.553665 + 110 | -7.491143 4.667209 -1.61 0.117 -16.95668 1.974394 + 111 | 3.690088 6.413968 0.58 0.569 -9.318042 16.69822 + | + MV1_female | .2364183 .2592074 0.91 0.368 -.2892787 .7621154 + femaleXMV1_female | .4216999 .6208576 0.68 0.501 -.8374576 1.680857 + | + minor | + 104 | -8.615425 11.69828 -0.74 0.466 -32.34063 15.10978 + 105 | 40.29927 12.75436 3.16 0.003 14.43223 66.16631 + 107 | -1.075916 8.986058 -0.12 0.905 -19.30049 17.14865 + 200 | 14.51658 14.13168 1.03 0.311 -14.1438 43.17696 + 205 | 15.57306 10.05678 1.55 0.130 -4.823037 35.96915 + 206 | -9.939276 7.408992 -1.34 0.188 -24.96541 5.086856 + 207 | -6.291141 13.68921 -0.46 0.649 -34.05416 21.47187 + 208 | 13.93563 7.883179 1.77 0.086 -2.0522 29.92346 + 300 | 10.68865 13.84949 0.77 0.445 -17.39941 38.77671 + 301 | 35.63242 25.71561 1.39 0.174 -16.52126 87.7861 + 302 | 5.348609 6.37226 0.84 0.407 -7.574933 18.27215 + 321 | -1.004958 6.892518 -0.15 0.885 -14.98363 12.97372 + 322 | 3.01566 21.32508 0.14 0.888 -40.2336 46.26492 + 325 | .4173542 8.809032 0.05 0.962 -17.44819 18.2829 + 331 | 22.64524 6.165878 3.67 0.001 10.14026 35.15022 + 332 | -3.153572 7.84138 -0.40 0.690 -19.05663 12.74948 + 333 | 4.477357 5.613319 0.80 0.430 -6.906982 15.8617 + 334 | 26.07788 10.85375 2.40 0.022 4.065454 48.0903 + 335 | -5.312873 5.013066 -1.06 0.296 -15.47984 4.854097 + 336 | 5.020163 6.688085 0.75 0.458 -8.543902 18.58423 + 341 | .1401615 5.265499 0.03 0.979 -10.53876 10.81909 + 343 | 21.97527 9.070082 2.42 0.021 3.58029 40.37025 + 398 | -1.081406 7.641387 -0.14 0.888 -16.57886 14.41604 + 399 | -5.474228 9.169612 -0.60 0.554 -24.07106 13.12261 + 401 | .2223003 4.737141 0.05 0.963 -9.385067 9.829668 + 402 | .9241066 6.343637 0.15 0.885 -11.94138 13.7896 + 403 | 32.1622 6.783769 4.74 0.000 18.40408 45.92032 + 404 | 9.73333 6.143967 1.58 0.122 -2.727214 22.19387 + 405 | -8.456897 12.34499 -0.69 0.498 -33.4937 16.5799 + 499 | -25.65162 12.55513 -2.04 0.048 -51.11459 -.1886405 + 500 | -22.51685 13.18628 -1.71 0.096 -49.25986 4.226158 + 501 | -6.257312 7.71956 -0.81 0.423 -21.9133 9.39868 + 502 | -15.41376 7.19662 -2.14 0.039 -30.00918 -.8183356 + 503 | -17.235 5.780762 -2.98 0.005 -28.95893 -5.511071 + 504 | 1.750818 10.12646 0.17 0.864 -18.78659 22.28823 + 505 | -2.350855 9.380503 -0.25 0.804 -21.3754 16.67369 + 506 | -5.214285 10.15345 -0.51 0.611 -25.80644 15.37787 + 508 | -3.844224 9.186147 -0.42 0.678 -22.47459 14.78615 + 530 | -2.707431 10.60791 -0.26 0.800 -24.22126 18.8064 + 600 | -2.301432 12.24435 -0.19 0.852 -27.13413 22.53126 + 601 | 11.79747 10.07463 1.17 0.249 -8.63482 32.22976 + 602 | -2.903425 7.047337 -0.41 0.683 -17.19609 11.38924 + 603 | .2793428 9.002799 0.03 0.975 -17.97918 18.53787 + 604 | -2.332662 10.05405 -0.23 0.818 -22.72322 18.05789 + 607 | -1.275926 10.10841 -0.13 0.900 -21.77672 19.22487 + 698 | -2.199737 6.571531 -0.33 0.740 -15.52742 11.12794 + 700 | 5.680265 5.76991 0.98 0.331 -6.021655 17.38219 + 701 | .6658796 4.243737 0.16 0.876 -7.940819 9.272578 + 703 | 8.310063 6.260224 1.33 0.193 -4.38626 21.00639 + 704 | -.0333213 5.648955 -0.01 0.995 -11.48993 11.42329 + 705 | 9.271955 15.95767 0.58 0.565 -23.0917 41.6356 + 707 | -5.468099 5.760366 -0.95 0.349 -17.15066 6.214465 + 708 | -1.216286 5.76991 -0.21 0.834 -12.91821 10.48563 + 709 | 12.42394 13.54912 0.92 0.365 -15.05495 39.90283 + 711 | -3.554661 3.76031 -0.95 0.351 -11.18092 4.0716 + 798 | -6.043634 9.07694 -0.67 0.510 -24.45252 12.36525 + 799 | .3428443 8.158958 0.04 0.967 -16.20429 16.88998 + 801 | 2.832701 9.35075 0.30 0.764 -16.1315 21.7969 + 802 | 18.07197 17.57737 1.03 0.311 -17.5766 53.72053 + 803 | 4.491467 7.393636 0.61 0.547 -10.50352 19.48646 + 805 | -2.266097 4.11398 -0.55 0.585 -10.60963 6.077441 + 806 | -8.866403 6.571531 -1.35 0.186 -22.19409 4.461278 + 898 | -4.828748 23.73626 -0.20 0.840 -52.96812 43.31063 + 1001 | 7.063802 10.28943 0.69 0.497 -13.80413 27.93173 + 1002 | 11.3567 9.168178 1.24 0.223 -7.237223 29.95063 + 1005 | 38.45822 8.686664 4.43 0.000 20.84085 56.07559 + 1006 | -.3797636 6.389777 -0.06 0.953 -13.33883 12.5793 + 1201 | 8.334137 16.55499 0.50 0.618 -25.24094 41.90922 + 1203 | 27.96194 16.93712 1.65 0.107 -6.388129 62.312 + 1204 | 7.588987 9.239696 0.82 0.417 -11.14998 26.32796 + 1207 | 14.05993 8.141695 1.73 0.093 -2.452191 30.57205 + 1208 | 49.38365 14.30434 3.45 0.001 20.37311 78.39419 + 1209 | 8.704265 16.92505 0.51 0.610 -25.62132 43.02985 + 1210 | -1.624346 10.81432 -0.15 0.881 -23.5568 20.3081 + 1300 | -1.363284 10.91394 -0.12 0.901 -23.49778 20.77121 + 1301 | 14.47818 11.51751 1.26 0.217 -8.880411 37.83678 + 1303 | -6.676475 8.857423 -0.75 0.456 -24.64016 11.28721 + 1304 | .2456635 8.339739 0.03 0.977 -16.66811 17.15944 + 1401 | -20.21172 4.994708 -4.05 0.000 -30.34146 -10.08199 + 1404 | -12.67874 7.594571 -1.67 0.104 -28.08124 2.723768 + 1405 | 24.99159 5.712508 4.37 0.000 13.40609 36.5771 + 1407 | 1.313652 9.187085 0.14 0.887 -17.31862 19.94592 + 1408 | -5.417648 7.656234 -0.71 0.484 -20.94521 10.10991 + 1409 | 30.02822 16.22636 1.85 0.072 -2.880365 62.93681 + 1410 | -3.744292 9.403963 -0.40 0.693 -22.81641 15.32783 + 1501 | 11.50849 9.352214 1.23 0.226 -7.458682 30.47566 + 1502 | 3.947512 15.49642 0.25 0.800 -27.48067 35.3757 + 1504 | -5.387221 10.47055 -0.51 0.610 -26.62249 15.84804 + 1505 | 1.257649 5.450589 0.23 0.819 -9.796657 12.31196 + 1520 | 1.885801 11.29343 0.17 0.868 -21.01834 24.78994 + 1521 | 20.23988 22.87818 0.88 0.382 -26.15922 66.63898 + 1522 | 9.381133 7.283864 1.29 0.206 -5.391228 24.15349 + 1523 | -6.653264 2.387095 -2.79 0.008 -11.49452 -1.812012 + 1525 | -2.930392 6.333536 -0.46 0.646 -15.7754 9.914614 + 1526 | -5.164592 6.359452 -0.81 0.422 -18.06216 7.732975 + 1600 | 5.056192 8.875949 0.57 0.572 -12.94507 23.05745 + 1605 | -6.867769 8.226312 -0.83 0.409 -23.5515 9.815966 + 1608 | -3.874411 6.496719 -0.60 0.555 -17.05037 9.301546 + 1609 | 3.169342 5.959116 0.53 0.598 -8.916306 15.25499 + 1611 | -36.39502 16.05705 -2.27 0.030 -68.96022 -3.829818 + 1612 | 21.53896 10.15938 2.12 0.041 .9347817 42.14314 + 1619 | 10.62384 9.69052 1.10 0.280 -9.02945 30.27712 + 1620 | -1.607605 10.22504 -0.16 0.876 -22.34495 19.12974 + 1698 | -3.965403 5.496228 -0.72 0.475 -15.11227 7.181464 + 1699 | -1.454795 6.125393 -0.24 0.814 -13.87767 10.96808 + 1701 | 2.294824 11.21388 0.20 0.839 -20.44799 25.03764 + 1706 | 1.336655 9.145458 0.15 0.885 -17.21119 19.8845 + 1707 | -5.417389 10.56669 -0.51 0.611 -26.84763 16.01286 + 1708 | 38.70249 12.7746 3.03 0.005 12.79441 64.61057 + 1709 | -7.337139 9.283201 -0.79 0.434 -26.16434 11.49007 + 1798 | 6.693785 5.350631 1.25 0.219 -4.157799 17.54537 + 1800 | 22.14021 22.3917 0.99 0.329 -23.27227 67.55269 + 1802 | -14.08867 8.407089 -1.68 0.102 -31.13904 2.961692 + 1803 | -10.41588 7.649356 -1.36 0.182 -25.92949 5.097736 + 1806 | 36.94487 9.321686 3.96 0.000 18.03961 55.85012 + 1807 | -7.211605 2.746841 -2.63 0.013 -12.78246 -1.640752 + 1900 | 55.78608 11.95566 4.67 0.000 31.53888 80.03328 + 1901 | 1.640633 9.094931 0.18 0.858 -16.80474 20.08601 + 1905 | 4.887108 8.219759 0.59 0.556 -11.78334 21.55755 + 1906 | 18.33035 10.26717 1.79 0.083 -2.492439 39.15315 + 1911 | 17.53298 12.85145 1.36 0.181 -8.530963 43.59693 + 1912 | 8.099029 11.26004 0.72 0.477 -14.73738 30.93544 + 1920 | -9.722657 6.393297 -1.52 0.137 -22.68887 3.243551 + 1925 | 10.8575 12.36231 0.88 0.386 -14.21444 35.92944 + 1927 | -17.845 13.63967 -1.31 0.199 -45.50754 9.817534 + 1929 | -18.53104 7.985918 -2.32 0.026 -34.72723 -2.334846 + 2000 | 18.98102 6.790774 2.80 0.008 5.208691 32.75335 + 2001 | -15.26752 8.697514 -1.76 0.088 -32.9069 2.371854 + 2002 | -12.67874 7.594571 -1.67 0.104 -28.08124 2.723768 + 2004 | 14.22139 7.6943 1.85 0.073 -1.38337 29.82616 + 2005 | 32.21788 18.13743 1.78 0.084 -4.56654 69.0023 + 2006 | 12.41054 10.0333 1.24 0.224 -7.937945 32.75902 + 2007 | -23.57782 9.87639 -2.39 0.022 -43.60807 -3.547575 + 2008 | -.4790365 6.04488 -0.08 0.937 -12.73862 11.78055 + 2011 | 19.94184 12.37471 1.61 0.116 -5.155237 45.03892 + 2012 | -7.279077 7.331723 -0.99 0.327 -22.1485 7.590346 + 2014 | 14.38146 9.40135 1.53 0.135 -4.685366 33.44828 + 2100 | 50.05495 15.51261 3.23 0.003 18.59392 81.51597 + 2101 | -.7997164 4.559386 -0.18 0.862 -10.04658 8.447147 + 2102 | 28.90522 18.62085 1.55 0.129 -8.859608 66.67005 + 2103 | 6.301102 5.907204 1.07 0.293 -5.679262 18.28147 + 2104 | 27.35286 7.151517 3.82 0.001 12.84891 41.85681 + | + house_administration | -14.88203 6.230387 -2.39 0.022 -27.51784 -2.246218 + house_agriculture | -8.423286 4.448767 -1.89 0.066 -17.4458 .5992312 + house_appropriations | -9.455839 6.689976 -1.41 0.166 -23.02374 4.112061 + house_armedservices | -4.235582 3.797734 -1.12 0.272 -11.93774 3.46658 + house_budget | -20.68268 16.51869 -1.25 0.219 -54.18413 12.81878 + house_dc | -12.87802 9.048642 -1.42 0.163 -31.22952 5.473472 + house_educlabor | -9.320386 7.35253 -1.27 0.213 -24.23201 5.591236 + house_energycommerce | -6.984699 4.014627 -1.74 0.090 -15.12674 1.157342 + house_foreignaffairs | 1.005866 6.562231 0.15 0.879 -12.30295 14.31469 + house_governmentop | 10.25177 3.323949 3.08 0.004 3.510493 16.99305 + house_intelligence | 3.298719 14.01248 0.24 0.815 -25.1199 31.71734 + house_interior | -4.646324 4.219658 -1.10 0.278 -13.20419 3.911539 + house_judiciary | -3.036394 5.063038 -0.60 0.552 -13.30471 7.231923 + house_mmf | -5.186321 18.0086 -0.29 0.775 -41.70945 31.3368 + house_pocs | 8.478837 8.602825 0.99 0.331 -8.968501 25.92617 + house_pwt | -8.866865 3.288681 -2.70 0.011 -15.53662 -2.197111 + house_rules | -3.05398 12.29047 -0.25 0.805 -27.9802 21.87224 + house_sst | 10.22248 11.78273 0.87 0.391 -13.674 34.11897 + house_smallbusi | -30.61341 22.48932 -1.36 0.182 -76.22386 14.99704 + house_soc | 0 (omitted) + house_veterans | -6.998146 4.106316 -1.70 0.097 -15.32614 1.32985 + house_waysandmeans | .8899236 3.76863 0.24 0.815 -6.753213 8.53306 +house_naturalresources | -11.71274 6.213877 -1.88 0.068 -24.31507 .8895867 + house_bfs | -7.238596 6.128033 -1.18 0.245 -19.66682 5.189631 + house_eeo | -16.08532 9.476463 -1.70 0.098 -35.30448 3.133839 + house_govreform | -3.710147 5.913716 -0.63 0.534 -15.70372 8.283426 + house_ir | -2.249534 8.482307 -0.27 0.792 -19.45245 14.95338 + house_natsecur | 20.541 10.4206 1.97 0.056 -.5929656 41.67496 + house_oversight | 7.370638 8.454149 0.87 0.389 -9.775171 24.51645 + house_resources | 3.391868 5.848668 0.58 0.566 -8.46978 15.25352 + house_science | 10.87675 9.004134 1.21 0.235 -7.384483 29.13798 + house_transp | -8.327333 6.426169 -1.30 0.203 -21.36021 4.705541 + house_homeland | 0 (omitted) + _cons | 16.99671 8.158125 2.08 0.044 .451267 33.54215 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 37 1 0 1 1 + + +j = 3 k = 3 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 11.12081 18.1168 .6138395 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(59,713 missing values generated) +(61,541 missing values generated) +(1,828 real changes made) +reg pct_cosponsors_opposite sponsor_female i.v2 MV1_female femaleXMV1_female i.minor house_* [aw=wt] if sponsor_party==200 & tag_bill==1 & sample==1 & tenured==1 & +> abs(MV1_female)<=11.12080711935322, robust cluster(group_sponsor) +(sum of wgt is 582.1290403604507) +note: house_budget omitted because of collinearity +note: house_dc omitted because of collinearity +note: house_intelligence omitted because of collinearity +note: house_smallbusi omitted because of collinearity +note: house_soc omitted because of collinearity +note: house_eeo omitted because of collinearity +note: house_natsecur omitted because of collinearity +note: house_homeland omitted because of collinearity + +Linear regression Number of obs = 313 + F(17, 18) = . + Prob > F = . + R-squared = 0.7222 + Root MSE = 23.056 + + (Std. Err. adjusted for 19 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 15.39197 15.61307 0.99 0.337 -17.40987 48.19381 + | + v2 | + 103 | -24.83531 8.946028 -2.78 0.012 -43.63022 -6.0404 + 106 | -2.967993 15.06533 -0.20 0.846 -34.61907 28.68309 + 107 | 17.50284 11.12484 1.57 0.133 -5.869583 40.87526 + 108 | 18.45876 10.05922 1.84 0.083 -2.674888 39.5924 + 109 | -19.10685 14.39431 -1.33 0.201 -49.34817 11.13447 + 110 | -12.0219 7.071392 -1.70 0.106 -26.87834 2.834545 + 111 | -8.613182 10.53702 -0.82 0.424 -30.75065 13.52428 + | + MV1_female | -.3748783 1.398384 -0.27 0.792 -3.312773 2.563016 + femaleXMV1_female | 2.227381 2.087696 1.07 0.300 -2.158706 6.613467 + | + minor | + 101 | -19.81436 17.41881 -1.14 0.270 -56.40991 16.7812 + 104 | -48.38702 27.01219 -1.79 0.090 -105.1375 8.36348 + 107 | -60.2748 14.68653 -4.10 0.001 -91.13006 -29.41954 + 202 | -29.64527 14.74695 -2.01 0.060 -60.62747 1.336922 + 204 | -58.52903 28.40894 -2.06 0.054 -118.214 1.155931 + 208 | -39.59368 25.65708 -1.54 0.140 -93.4972 14.30984 + 300 | -61.59336 39.59116 -1.56 0.137 -144.7713 21.58457 + 301 | -72.42539 22.79311 -3.18 0.005 -120.3119 -24.53884 + 302 | -31.48563 31.51431 -1.00 0.331 -97.69473 34.72347 + 322 | -62.30905 18.42871 -3.38 0.003 -101.0263 -23.59177 + 323 | -81.75567 18.24386 -4.48 0.000 -120.0846 -43.42674 + 324 | -97.01669 16.4381 -5.90 0.000 -131.5518 -62.48153 + 325 | -16.36817 15.58205 -1.05 0.307 -49.10485 16.3685 + 331 | -5.32766 15.43755 -0.35 0.734 -37.76075 27.10543 + 332 | -23.96804 17.03528 -1.41 0.176 -59.75783 11.82175 + 333 | 5.625562 18.52 0.30 0.765 -33.28352 44.53464 + 334 | -57.05963 16.28646 -3.50 0.003 -91.27621 -22.84305 + 335 | -56.89241 18.96283 -3.00 0.008 -96.73183 -17.05298 + 336 | -54.73133 15.5806 -3.51 0.002 -87.46495 -21.99771 + 343 | 2.968615 23.01448 0.13 0.899 -45.38301 51.32024 + 398 | -8.22011 28.50647 -0.29 0.776 -68.10998 51.66976 + 399 | -18.29058 20.51674 -0.89 0.384 -61.39465 24.81348 + 500 | -97.12453 20.93998 -4.64 0.000 -141.1178 -53.13127 + 503 | -64.36579 16.65266 -3.87 0.001 -99.35173 -29.37984 + 508 | -56.92538 10.19098 -5.59 0.000 -78.33583 -35.51493 + 530 | -58.73825 19.72592 -2.98 0.008 -100.1809 -17.29564 + 599 | -49.47141 15.7247 -3.15 0.006 -82.50778 -16.43504 + 601 | -64.94897 16.68591 -3.89 0.001 -100.0048 -29.89317 + 602 | -62.37086 23.04 -2.71 0.014 -110.7761 -13.96562 + 606 | -91.4844 14.75098 -6.20 0.000 -122.4751 -60.49374 + 607 | -112.4986 14.80787 -7.60 0.000 -143.6088 -81.38843 + 609 | -79.16528 14.80787 -5.35 0.000 -110.2755 -48.0551 + 700 | -65.40365 23.24954 -2.81 0.012 -114.2491 -16.55817 + 701 | -8.925853 21.05485 -0.42 0.677 -53.16046 35.30875 + 704 | -23.71712 13.00943 -1.82 0.085 -51.04891 3.61467 + 705 | -49.50009 19.76556 -2.50 0.022 -91.026 -7.974185 + 707 | -68.11073 18.38395 -3.70 0.002 -106.734 -29.48747 + 709 | -58.65385 15.44526 -3.80 0.001 -91.10314 -26.20456 + 710 | -47.47665 23.79073 -2.00 0.061 -97.45911 2.505807 + 711 | -86.19898 11.03941 -7.81 0.000 -109.3919 -63.00603 + 802 | -79.92057 17.27132 -4.63 0.000 -116.2063 -43.63488 + 803 | -71.42454 18.75918 -3.81 0.001 -110.8361 -32.01296 + 806 | -75.79864 17.09067 -4.44 0.000 -111.7048 -39.89247 + 807 | -72.36002 15.11395 -4.79 0.000 -104.1133 -40.60679 + 1002 | -69.87556 22.46083 -3.11 0.006 -117.064 -22.6871 + 1003 | 7.219531 27.20626 0.27 0.794 -49.93871 64.37777 + 1006 | -48.03344 18.68865 -2.57 0.019 -87.29684 -8.770043 + 1007 | -90.18556 16.30902 -5.53 0.000 -124.4495 -55.92158 + 1010 | -23.16545 12.809 -1.81 0.087 -50.07616 3.745267 + 1202 | -98.30057 28.59832 -3.44 0.003 -158.3834 -38.21772 + 1208 | -64.17929 31.01966 -2.07 0.053 -129.3492 .9905838 + 1209 | -41.41356 18.46593 -2.24 0.038 -80.20904 -2.618082 + 1302 | 2.068569 16.1847 0.13 0.900 -31.93422 36.07136 + 1303 | -38.65191 8.521668 -4.54 0.000 -56.55527 -20.74855 + 1304 | -59.85587 26.60301 -2.25 0.037 -115.7467 -3.965021 + 1401 | -87.33928 32.04081 -2.73 0.014 -154.6545 -20.02402 + 1404 | 6.341982 17.50128 0.36 0.721 -30.42684 43.11081 + 1405 | -48.17773 31.77519 -1.52 0.147 -114.9349 18.57946 + 1409 | -14.64194 17.41881 -0.84 0.412 -51.2375 21.95361 + 1500 | -71.11338 19.99423 -3.56 0.002 -113.1197 -29.10705 + 1501 | -69.06747 29.81031 -2.32 0.032 -131.6966 -6.438328 + 1502 | -54.47702 25.55814 -2.13 0.047 -108.1727 -.7813699 + 1504 | -53.94178 10.78691 -5.00 0.000 -76.60424 -31.27933 + 1505 | -65.55843 27.04598 -2.42 0.026 -122.3799 -8.736943 + 1520 | -73.2724 28.19085 -2.60 0.018 -132.4992 -14.04561 + 1521 | -43.40161 17.50128 -2.48 0.023 -80.17043 -6.632781 + 1524 | -54.19228 14.97217 -3.62 0.002 -85.64764 -22.73692 + 1525 | -77.60165 15.21429 -5.10 0.000 -109.5657 -45.63762 + 1526 | -33.10777 15.7247 -2.11 0.050 -66.14414 -.0714014 + 1600 | -105.052 32.75868 -3.21 0.005 -173.8754 -36.22853 + 1603 | -91.41356 18.46593 -4.95 0.000 -130.209 -52.61808 + 1608 | -53.37415 22.217 -2.40 0.027 -100.0503 -6.697958 + 1609 | -74.34039 18.46593 -4.03 0.001 -113.1359 -35.54491 + 1616 | -87.06134 29.79598 -2.92 0.009 -149.6604 -24.46231 + 1619 | -77.98938 26.88906 -2.90 0.010 -134.4812 -21.49756 + 1698 | 94.58775 31.40214 3.01 0.007 28.61431 160.5612 + 1699 | -36.83425 30.26013 -1.22 0.239 -100.4084 26.73992 + 1706 | 12.94012 23.01448 0.56 0.581 -35.41151 61.29175 + 1709 | -40.22088 18.64422 -2.16 0.045 -79.39093 -1.050825 + 1807 | -79.76222 10.79363 -7.39 0.000 -102.4388 -57.08564 + 1808 | -88.69586 32.68919 -2.71 0.014 -157.3733 -20.01843 + 1901 | -100.4852 13.22911 -7.60 0.000 -128.2785 -72.69183 + 1906 | -39.66795 31.59064 -1.26 0.225 -106.0374 26.70153 + 1915 | -39.0161 29.1744 -1.34 0.198 -100.3092 22.27703 + 1919 | -72.88605 23.42838 -3.11 0.006 -122.1073 -23.66484 + 1925 | -31.13127 20.00708 -1.56 0.137 -73.16458 10.90203 + 1926 | -60.01004 12.27736 -4.89 0.000 -85.80383 -34.21626 + 1927 | -106.1236 13.77258 -7.71 0.000 -135.0587 -77.18845 + 1929 | -95.36369 15.11938 -6.31 0.000 -127.1283 -63.59904 + 2000 | -25.64128 26.91016 -0.95 0.353 -82.17742 30.89487 + 2001 | -39.59968 41.89234 -0.95 0.357 -127.6122 48.41286 + 2002 | -29.60816 48.69127 -0.61 0.551 -131.9047 72.68839 + 2003 | -39.48883 21.32846 -1.85 0.081 -84.29827 5.320604 + 2004 | -53.13638 24.07241 -2.21 0.041 -103.7106 -2.562109 + 2006 | -64.39741 40.61537 -1.59 0.130 -149.7271 20.93231 + 2007 | -82.76947 22.56073 -3.67 0.002 -130.1678 -35.37113 + 2008 | -83.98859 21.44902 -3.92 0.001 -129.0513 -38.92586 + 2011 | -52.09527 25.5057 -2.04 0.056 -105.6807 1.490206 + 2012 | -74.3785 27.80691 -2.67 0.015 -132.7986 -15.95836 + 2014 | -87.78809 22.9076 -3.83 0.001 -135.9152 -39.66101 + 2015 | -39.26715 19.21097 -2.04 0.056 -79.6279 1.093593 + 2100 | -75.8498 14.92561 -5.08 0.000 -107.2073 -44.49226 + 2101 | -50.46599 25.62501 -1.97 0.064 -104.3021 3.37017 + 2102 | -54.6876 20.49242 -2.67 0.016 -97.74058 -11.63462 + 2103 | -73.98684 12.66428 -5.84 0.000 -100.5935 -47.38018 + 2104 | -81.01079 13.79838 -5.87 0.000 -110.0001 -52.02147 + 2105 | -67.15617 36.23719 -1.85 0.080 -143.2877 8.975347 + | + house_administration | -12.64514 21.76182 -0.58 0.568 -58.36502 33.07473 + house_agriculture | 14.33793 12.28912 1.17 0.259 -11.48056 40.15642 + house_appropriations | 9.084606 11.78588 0.77 0.451 -15.67661 33.84582 + house_armedservices | -20.74387 18.20437 -1.14 0.269 -58.98984 17.5021 + house_budget | 0 (omitted) + house_dc | 0 (omitted) + house_educlabor | 30.93012 15.09217 2.05 0.055 -.7773509 62.63759 + house_energycommerce | -16.92655 10.55571 -1.60 0.126 -39.10327 5.250178 + house_foreignaffairs | 27.31964 8.456518 3.23 0.005 9.553152 45.08612 + house_governmentop | -15.13273 26.40899 -0.57 0.574 -70.61596 40.3505 + house_intelligence | 0 (omitted) + house_interior | 4.988141 12.39018 0.40 0.692 -21.04267 31.01895 + house_judiciary | 9.845069 14.87042 0.66 0.516 -21.39652 41.08666 + house_mmf | 2.785813 10.82414 0.26 0.800 -19.95485 25.52648 + house_pocs | 20.33604 22.06458 0.92 0.369 -26.01993 66.69201 + house_pwt | .0716838 11.78584 0.01 0.995 -24.68945 24.83282 + house_rules | -43.48241 10.52839 -4.13 0.001 -65.60174 -21.36309 + house_sst | -69.73664 26.90787 -2.59 0.018 -126.268 -13.20531 + house_smallbusi | 0 (omitted) + house_soc | 0 (omitted) + house_veterans | 47.77544 21.65321 2.21 0.041 2.283738 93.26715 + house_waysandmeans | 8.91713 17.38385 0.51 0.614 -27.60499 45.43925 +house_naturalresources | 19.78373 12.55744 1.58 0.133 -6.598483 46.16594 + house_bfs | 20.91264 22.71063 0.92 0.369 -26.80063 68.6259 + house_eeo | 0 (omitted) + house_govreform | -18.80925 21.93887 -0.86 0.403 -64.90112 27.28261 + house_ir | -12.43839 10.9086 -1.14 0.269 -35.35651 10.47973 + house_natsecur | 0 (omitted) + house_oversight | 41.02444 24.01722 1.71 0.105 -9.433861 91.48275 + house_resources | 4.630487 12.25624 0.38 0.710 -21.11892 30.37989 + house_science | -30.86521 12.4109 -2.49 0.023 -56.93955 -4.790882 + house_transp | 30.42047 21.60646 1.41 0.176 -14.97302 75.81397 + house_homeland | 0 (omitted) + _cons | 68.83735 24.20163 2.84 0.011 17.9916 119.6831 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 19 1 0 1 1 + + +j = 4 k = 1 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11989 +----------------------+---------------------- NN matches = 3 + Number of obs | 6150 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 15.71586 27.17455 .5783301 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(6,677 missing values generated) +(54,574 missing values generated) +(47,897 real changes made) +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* [aw=wt] if tag_bill==1 & tenured==1, robust cluster(group_sponsor) +(sum of wgt is 69,356.9439979792) + +Linear regression Number of obs = 33,760 + F(268, 2249) = . + Prob > F = . + R-squared = 0.1194 + Root MSE = 21.963 + + (Std. Err. adjusted for 2,250 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 2.382239 1.14432 2.08 0.037 .138205 4.626273 + | + v2 | + 102 | -1.417737 3.79361 -0.37 0.709 -8.857079 6.021605 + 103 | -4.522175 2.191444 -2.06 0.039 -8.81964 -.2247107 + 104 | -2.547474 3.091231 -0.82 0.410 -8.609439 3.51449 + 105 | -.7879923 3.38888 -0.23 0.816 -7.433651 5.857666 + 106 | .6403801 3.951423 0.16 0.871 -7.108436 8.389197 + 107 | -1.266004 3.092602 -0.41 0.682 -7.330656 4.798648 + 108 | -1.838193 2.775415 -0.66 0.508 -7.280836 3.604449 + 109 | -3.497988 2.493404 -1.40 0.161 -8.387602 1.391626 + 110 | -5.708134 2.176567 -2.62 0.009 -9.976425 -1.439844 + 111 | -7.898635 2.271233 -3.48 0.001 -12.35257 -3.444703 + | + minor | + 101 | 32.67861 9.070906 3.60 0.000 14.89039 50.46683 + 103 | 5.0431 7.415074 0.68 0.497 -9.498004 19.5842 + 104 | 4.243292 5.199266 0.82 0.415 -5.95257 14.43915 + 105 | 14.11087 6.604819 2.14 0.033 1.158692 27.06305 + 107 | 14.97597 5.238805 2.86 0.004 4.702569 25.24936 + 108 | 24.32879 9.364157 2.60 0.009 5.9655 42.69208 + 110 | 4.690582 4.890957 0.96 0.338 -4.900679 14.28184 + 200 | 7.732924 5.094828 1.52 0.129 -2.258133 17.72398 + 201 | .6874345 4.725801 0.15 0.884 -8.579953 9.954822 + 202 | 12.71796 10.6727 1.19 0.234 -8.211417 33.64734 + 204 | 9.124469 5.556198 1.64 0.101 -1.771342 20.02028 + 205 | 11.96013 5.739857 2.08 0.037 .7041604 23.2161 + 206 | 4.591428 5.239411 0.88 0.381 -5.683158 14.86601 + 207 | 12.37881 5.133058 2.41 0.016 2.312788 22.44484 + 208 | 10.1981 5.339819 1.91 0.056 -.2733871 20.66959 + 209 | .866683 4.926319 0.18 0.860 -8.793923 10.52729 + 299 | 26.46667 12.54087 2.11 0.035 1.873785 51.05956 + 300 | 18.31678 6.847379 2.68 0.008 4.888936 31.74462 + 301 | 15.46722 4.686527 3.30 0.001 6.27685 24.65759 + 302 | 16.21615 5.663956 2.86 0.004 5.109024 27.32328 + 321 | 23.6617 5.724055 4.13 0.000 12.43672 34.88669 + 322 | 23.34888 8.918048 2.62 0.009 5.860413 40.83734 + 323 | 20.70394 6.314101 3.28 0.001 8.321868 33.08602 + 324 | 11.8946 6.868158 1.73 0.083 -1.573986 25.36319 + 325 | 15.60076 7.590575 2.06 0.040 .7154919 30.48602 + 331 | 26.90948 6.623502 4.06 0.000 13.92066 39.8983 + 332 | 19.32435 6.721949 2.87 0.004 6.142476 32.50622 + 333 | 22.48556 7.07908 3.18 0.002 8.603352 36.36778 + 334 | 26.92707 5.741479 4.69 0.000 15.66792 38.18622 + 335 | 18.4324 9.708099 1.90 0.058 -.605374 37.47017 + 336 | 23.4136 5.322763 4.40 0.000 12.97555 33.85164 + 341 | 13.93611 6.127224 2.27 0.023 1.920507 25.95171 + 342 | 4.309393 5.734824 0.75 0.452 -6.936708 15.55549 + 343 | 18.50241 7.609444 2.43 0.015 3.58014 33.42467 + 344 | 11.02228 7.155999 1.54 0.124 -3.010772 25.05534 + 398 | 25.65045 8.819456 2.91 0.004 8.355323 42.94557 + 399 | 19.22548 9.5117 2.02 0.043 .5728515 37.87811 + 400 | 8.958241 5.837144 1.53 0.125 -2.488511 20.40499 + 401 | 6.801712 8.917429 0.76 0.446 -10.68554 24.28896 + 402 | 19.18759 5.68024 3.38 0.001 8.048527 30.32665 + 403 | 5.132233 5.883058 0.87 0.383 -6.404557 16.66902 + 404 | 24.6333 7.487321 3.29 0.001 9.950519 39.31608 + 405 | 14.75212 7.047923 2.09 0.036 .931011 28.57324 + 498 | 15.93976 7.4628 2.14 0.033 1.305068 30.57446 + 499 | 12.64845 7.103501 1.78 0.075 -1.281652 26.57855 + 500 | 2.727362 5.533629 0.49 0.622 -8.124191 13.57892 + 501 | 3.442948 4.409606 0.78 0.435 -5.204374 12.09027 + 502 | 6.479136 4.53088 1.43 0.153 -2.406007 15.36428 + 503 | 8.541263 4.807553 1.78 0.076 -.8864421 17.96897 + 504 | 7.817664 8.609509 0.91 0.364 -9.065749 24.70108 + 505 | .6025258 5.071961 0.12 0.905 -9.343688 10.54874 + 506 | 5.150135 4.896406 1.05 0.293 -4.451813 14.75208 + 508 | 9.566431 4.757267 2.01 0.044 .237339 18.89552 + 529 | 35.80653 7.285305 4.91 0.000 21.5199 50.09315 + 530 | 10.56393 5.006841 2.11 0.035 .7454161 20.38244 + 599 | 3.488498 7.067276 0.49 0.622 -10.37057 17.34756 + 600 | 14.85201 7.419695 2.00 0.045 .3018422 29.40217 + 601 | 13.7568 4.781758 2.88 0.004 4.379681 23.13392 + 602 | 15.73068 6.413047 2.45 0.014 3.154567 28.30679 + 603 | 5.223159 5.757708 0.91 0.364 -6.067819 16.51414 + 604 | 4.979403 7.077383 0.70 0.482 -8.899483 18.85829 + 606 | 15.60526 6.483639 2.41 0.016 2.890724 28.31981 + 607 | 22.37271 4.812215 4.65 0.000 12.93586 31.80955 + 609 | 8.050987 5.83948 1.38 0.168 -3.400345 19.50232 + 698 | 6.836367 8.259412 0.83 0.408 -9.360499 23.03323 + 699 | 8.772257 5.655411 1.55 0.121 -2.318113 19.86263 + 700 | 13.37096 5.145752 2.60 0.009 3.280038 23.46188 + 701 | 18.0679 6.550719 2.76 0.006 5.221813 30.91399 + 703 | 14.73806 5.667096 2.60 0.009 3.624775 25.85134 + 704 | 15.00534 6.693202 2.24 0.025 1.879842 28.13084 + 705 | 10.57152 6.27358 1.69 0.092 -1.731092 22.87413 + 707 | 6.152441 7.202578 0.85 0.393 -7.971953 20.27684 + 708 | 4.343212 5.915225 0.73 0.463 -7.256659 15.94308 + 709 | 12.67729 4.494135 2.82 0.005 3.864202 21.49037 + 710 | 14.72843 4.490523 3.28 0.001 5.922424 23.53443 + 711 | 12.12418 5.843741 2.07 0.038 .6644866 23.58387 + 798 | 11.41819 6.960798 1.64 0.101 -2.232074 25.06844 + 799 | 2.556438 6.066486 0.42 0.674 -9.340058 14.45293 + 800 | 8.548302 5.427632 1.57 0.115 -2.09539 19.19199 + 801 | 13.59319 6.487361 2.10 0.036 .8713464 26.31503 + 802 | 16.40241 6.850688 2.39 0.017 2.968076 29.83674 + 803 | 8.92142 5.137332 1.74 0.083 -1.152987 18.99583 + 805 | 6.610173 5.73981 1.15 0.250 -4.645706 17.86605 + 806 | 13.88645 5.796823 2.40 0.017 2.518767 25.25413 + 807 | 23.83198 5.860258 4.07 0.000 12.33991 35.32406 + 898 | 15.30898 12.08517 1.27 0.205 -8.390282 39.00823 + 899 | .69712 6.895733 0.10 0.919 -12.82555 14.21979 + 1000 | 14.42251 5.558334 2.59 0.010 3.522514 25.32251 + 1001 | 26.39959 6.443666 4.10 0.000 13.76344 39.03574 + 1002 | 18.22257 4.726023 3.86 0.000 8.954747 27.49039 + 1003 | 12.53636 5.591361 2.24 0.025 1.57159 23.50112 + 1005 | 21.00143 4.963871 4.23 0.000 11.26719 30.73568 + 1006 | 22.48574 6.075029 3.70 0.000 10.5725 34.39899 + 1007 | 14.18544 4.460312 3.18 0.001 5.438685 22.9322 + 1010 | 5.091355 4.905152 1.04 0.299 -4.527743 14.71045 + 1098 | 12.36131 7.987905 1.55 0.122 -3.303129 28.02574 + 1099 | 16.28957 10.31658 1.58 0.114 -3.941444 36.52059 + 1200 | 8.592982 5.070985 1.69 0.090 -1.351318 18.53728 + 1201 | 15.36175 5.037365 3.05 0.002 5.483379 25.24012 + 1202 | 19.27383 5.513808 3.50 0.000 8.461141 30.08651 + 1203 | 13.60697 5.445193 2.50 0.013 2.928841 24.2851 + 1204 | 20.51912 6.131994 3.35 0.001 8.494159 32.54408 + 1205 | 10.23943 4.843479 2.11 0.035 .7412774 19.73759 + 1206 | 12.72233 4.982186 2.55 0.011 2.952169 22.4925 + 1207 | 14.29011 4.998144 2.86 0.004 4.488651 24.09157 + 1208 | 24.6893 5.959293 4.14 0.000 13.00301 36.37558 + 1209 | 11.3202 4.63249 2.44 0.015 2.2358 20.40461 + 1210 | 10.21826 4.858729 2.10 0.036 .6901993 19.74632 + 1211 | 9.386678 5.118321 1.83 0.067 -.6504485 19.4238 + 1299 | 18.26913 8.617169 2.12 0.034 1.370698 35.16757 + 1300 | 14.97006 8.479909 1.77 0.078 -1.659202 31.59933 + 1301 | 16.07113 6.81642 2.36 0.018 2.703999 29.43826 + 1302 | 11.90869 5.1251 2.32 0.020 1.858267 21.95911 + 1303 | 22.14453 12.83332 1.73 0.085 -3.021853 47.31092 + 1304 | 10.35206 5.015108 2.06 0.039 .5173354 20.18678 + 1305 | 12.06744 4.232633 2.85 0.004 3.76717 20.36772 + 1399 | 3.485455 6.811477 0.51 0.609 -9.871984 16.84289 + 1400 | 12.80293 5.298975 2.42 0.016 2.411539 23.19432 + 1401 | 13.60306 5.176208 2.63 0.009 3.452413 23.7537 + 1403 | 13.48944 5.775986 2.34 0.020 2.162623 24.81627 + 1404 | 9.273026 6.345831 1.46 0.144 -3.171271 21.71732 + 1405 | 16.05469 10.26697 1.56 0.118 -4.079044 36.18841 + 1406 | 8.873589 5.158955 1.72 0.086 -1.243222 18.9904 + 1407 | 25.33139 5.916091 4.28 0.000 13.72982 36.93296 + 1408 | -1.777744 5.003612 -0.36 0.722 -11.58992 8.034436 + 1409 | 15.26278 8.46932 1.80 0.072 -1.345724 31.87128 + 1410 | 18.97696 7.240942 2.62 0.009 4.777331 33.17659 + 1499 | 11.32336 6.800984 1.66 0.096 -2.013503 24.66022 + 1500 | 8.197937 6.166809 1.33 0.184 -3.895295 20.29117 + 1501 | 17.24066 5.110104 3.37 0.001 7.219652 27.26168 + 1502 | 14.8126 5.012744 2.95 0.003 4.982516 24.64269 + 1504 | 11.15417 5.097494 2.19 0.029 1.157885 21.15045 + 1505 | 18.55666 6.146691 3.02 0.003 6.502886 30.61044 + 1507 | 14.01548 5.290978 2.65 0.008 3.639767 24.39119 + 1520 | 9.153249 5.063544 1.81 0.071 -.7764596 19.08296 + 1521 | 19.18304 5.844904 3.28 0.001 7.721067 30.64501 + 1522 | 28.84118 5.340621 5.40 0.000 18.36812 39.31424 + 1523 | 9.388871 4.7113 1.99 0.046 .1499218 18.62782 + 1524 | 15.86308 6.491064 2.44 0.015 3.133976 28.59218 + 1525 | 6.343463 5.37591 1.18 0.238 -4.198801 16.88573 + 1526 | 17.26829 5.078342 3.40 0.001 7.309565 27.22702 + 1599 | 20.92006 8.216042 2.55 0.011 4.808243 37.03188 + 1600 | 13.74293 5.386431 2.55 0.011 3.180034 24.30583 + 1602 | 11.73807 5.474885 2.14 0.032 1.001717 22.47443 + 1603 | 5.283224 5.839092 0.90 0.366 -6.167348 16.7338 + 1604 | 12.89318 6.917163 1.86 0.062 -.6715128 26.45787 + 1605 | 20.80794 9.984174 2.08 0.037 1.228778 40.38709 + 1606 | 17.30025 5.880821 2.94 0.003 5.767851 28.83266 + 1608 | 14.46913 4.788383 3.02 0.003 5.079014 23.85924 + 1609 | 21.85015 5.170522 4.23 0.000 11.71066 31.98964 + 1610 | 8.291361 5.6345 1.47 0.141 -2.758002 19.34072 + 1611 | 26.36343 7.827125 3.37 0.001 11.01429 41.71258 + 1612 | 18.4089 6.023535 3.06 0.002 6.596637 30.22117 + 1614 | 5.455538 7.407149 0.74 0.461 -9.070024 19.9811 + 1615 | 13.48793 5.670859 2.38 0.017 2.367265 24.60859 + 1616 | 3.827975 3.79061 1.01 0.313 -3.605485 11.26144 + 1617 | 10.14085 5.495977 1.85 0.065 -.6368723 20.91856 + 1619 | 5.462546 4.078968 1.34 0.181 -2.536388 13.46148 + 1620 | 13.30842 7.774397 1.71 0.087 -1.937326 28.55416 + 1698 | 16.79407 6.444503 2.61 0.009 4.156274 29.43187 + 1699 | 20.48675 5.294547 3.87 0.000 10.10404 30.86946 + 1700 | 15.9508 7.150804 2.23 0.026 1.927937 29.97367 + 1701 | 13.3247 5.014932 2.66 0.008 3.490318 23.15908 + 1704 | 25.70355 7.351701 3.50 0.000 11.28672 40.12037 + 1705 | 8.622895 5.477225 1.57 0.116 -2.11805 19.36384 + 1706 | 21.37399 6.925171 3.09 0.002 7.793596 34.95439 + 1707 | 9.483236 7.17926 1.32 0.187 -4.595431 23.5619 + 1708 | 20.49502 5.523493 3.71 0.000 9.663345 31.3267 + 1709 | 32.96596 6.699428 4.92 0.000 19.82826 46.10367 + 1798 | 27.09881 6.819684 3.97 0.000 13.72528 40.47234 + 1799 | 12.4391 8.174799 1.52 0.128 -3.591842 28.47004 + 1800 | 26.21437 7.276498 3.60 0.000 11.94501 40.48372 + 1802 | 15.39071 5.265596 2.92 0.004 5.064771 25.71664 + 1803 | 15.79833 5.459739 2.89 0.004 5.091674 26.50498 + 1804 | 15.82816 5.018623 3.15 0.002 5.986543 25.66978 + 1806 | 21.07872 10.1514 2.08 0.038 1.17164 40.9858 + 1807 | 3.509754 4.957105 0.71 0.479 -6.211225 13.23073 + 1808 | 13.2579 6.035043 2.20 0.028 1.42306 25.09273 + 1899 | -5.806393 5.114395 -1.14 0.256 -15.83582 4.223034 + 1900 | 13.80448 4.428603 3.12 0.002 5.1199 22.48905 + 1901 | 9.086556 3.608362 2.52 0.012 2.010487 16.16262 + 1902 | 26.35632 8.937147 2.95 0.003 8.830401 43.88224 + 1905 | 4.631504 6.796039 0.68 0.496 -8.695661 17.95867 + 1906 | 14.6071 4.602414 3.17 0.002 5.581675 23.63252 + 1907 | 25.46387 5.762391 4.42 0.000 14.16371 36.76403 + 1908 | 16.65625 6.32234 2.63 0.008 4.258022 29.05448 + 1909 | 35.43989 7.945591 4.46 0.000 19.85843 51.02135 + 1910 | 20.29585 9.009912 2.25 0.024 2.627236 37.96446 + 1911 | 11.29881 4.917737 2.30 0.022 1.655033 20.94259 + 1912 | -2.579562 3.43833 -0.75 0.453 -9.322193 4.163068 + 1914 | 3.925982 4.21865 0.93 0.352 -4.346873 12.19884 + 1915 | 25.5591 7.838628 3.26 0.001 10.1874 40.9308 + 1919 | 16.84225 5.187532 3.25 0.001 6.669403 27.0151 + 1920 | 14.50924 4.364399 3.32 0.001 5.950569 23.06791 + 1925 | 25.22702 9.276886 2.72 0.007 7.034863 43.41917 + 1926 | 11.72808 9.083962 1.29 0.197 -6.085741 29.54191 + 1927 | 3.633063 4.313011 0.84 0.400 -4.824835 12.09096 + 1929 | 6.657065 6.00772 1.11 0.268 -5.124191 18.43832 + 1999 | 12.85586 10.54829 1.22 0.223 -7.829534 33.54126 + 2000 | 3.246738 6.506087 0.50 0.618 -9.511824 16.0053 + 2001 | 10.70337 6.567768 1.63 0.103 -2.176154 23.58289 + 2002 | 10.6753 4.861174 2.20 0.028 1.142448 20.20816 + 2003 | 29.14108 5.11593 5.70 0.000 19.10864 39.17352 + 2004 | 20.18472 5.096296 3.96 0.000 10.19078 30.17865 + 2005 | 14.65056 7.544853 1.94 0.052 -.1450375 29.44617 + 2006 | 34.53349 5.172609 6.68 0.000 24.3899 44.67707 + 2007 | 6.981131 5.370153 1.30 0.194 -3.549842 17.5121 + 2008 | 24.49752 4.198357 5.84 0.000 16.26446 32.73058 + 2009 | 20.56297 8.313806 2.47 0.013 4.259438 36.86651 + 2010 | .0823474 4.745825 0.02 0.986 -9.224308 9.389002 + 2011 | 7.656104 4.495282 1.70 0.089 -1.159231 16.47144 + 2012 | 6.253989 4.840842 1.29 0.197 -3.238997 15.74697 + 2013 | 16.4188 7.494604 2.19 0.029 1.721736 31.11586 + 2014 | 10.97167 5.634155 1.95 0.052 -.0770193 22.02035 + 2015 | 15.26259 7.12573 2.14 0.032 1.288898 29.23629 + 2030 | 24.37763 8.901459 2.74 0.006 6.921693 41.83356 + 2099 | 11.4541 6.061043 1.89 0.059 -.4317205 23.33992 + 2100 | 6.683879 5.312592 1.26 0.208 -3.734217 17.10198 + 2101 | 15.4025 4.851177 3.18 0.002 5.889247 24.91575 + 2102 | 15.16817 4.571677 3.32 0.001 6.203019 24.13331 + 2103 | 9.877182 3.858554 2.56 0.011 2.310483 17.44388 + 2104 | 9.934049 5.40123 1.84 0.066 -.657868 20.52597 + 2105 | 8.802854 6.028183 1.46 0.144 -3.018529 20.62424 + 2199 | -5.373246 4.663703 -1.15 0.249 -14.51886 3.772367 + 9999 | 13.06474 5.067241 2.58 0.010 3.127781 23.0017 + | + house_administration | -2.340113 1.818133 -1.29 0.198 -5.905507 1.225281 + house_agriculture | -1.924032 1.825931 -1.05 0.292 -5.504719 1.656654 + house_appropriations | -5.444425 3.260751 -1.67 0.095 -11.83882 .9499701 + house_armedservices | -3.125359 1.61923 -1.93 0.054 -6.300701 .0499836 + house_budget | -2.730446 1.987166 -1.37 0.170 -6.627316 1.166424 + house_dc | -2.651307 4.068835 -0.65 0.515 -10.63037 5.327757 + house_educlabor | .1908153 2.775098 0.07 0.945 -5.251206 5.632837 + house_energycommerce | .3888785 1.628062 0.24 0.811 -2.803783 3.58154 + house_foreignaffairs | 3.235053 4.038973 0.80 0.423 -4.685451 11.15556 + house_governmentop | .1490333 1.828084 0.08 0.935 -3.435876 3.733942 + house_intelligence | -.0998125 2.56546 -0.04 0.969 -5.130729 4.931104 + house_interior | .3490497 2.930421 0.12 0.905 -5.397563 6.095662 + house_judiciary | -1.363905 .8146029 -1.67 0.094 -2.961357 .2335465 + house_mmf | 1.034567 3.456166 0.30 0.765 -5.743041 7.812176 + house_pocs | -6.223709 2.052962 -3.03 0.002 -10.24961 -2.197811 + house_pwt | .2719858 2.171392 0.13 0.900 -3.986156 4.530128 + house_rules | -.5935364 2.574414 -0.23 0.818 -5.642012 4.454939 + house_sst | 8.573866 3.717796 2.31 0.021 1.283196 15.86454 + house_smallbusi | -3.66066 2.641797 -1.39 0.166 -8.841275 1.519954 + house_soc | 7.219721 5.959043 1.21 0.226 -4.466078 18.90552 + house_veterans | -2.581573 1.799875 -1.43 0.152 -6.111162 .9480163 + house_waysandmeans | -1.414949 1.695603 -0.83 0.404 -4.74006 1.910161 +house_naturalresources | 4.074886 2.083595 1.96 0.051 -.0110843 8.160857 + house_bfs | -1.239035 1.128577 -1.10 0.272 -3.452197 .9741266 + house_eeo | 1.962503 4.030723 0.49 0.626 -5.941824 9.86683 + house_govreform | 1.274896 1.479992 0.86 0.389 -1.627396 4.177188 + house_ir | 6.341341 2.195479 2.89 0.004 2.035964 10.64672 + house_natsecur | -6.473365 2.597911 -2.49 0.013 -11.56792 -1.378812 + house_oversight | -1.39967 1.680354 -0.83 0.405 -4.694876 1.895537 + house_resources | -1.124245 1.559913 -0.72 0.471 -4.183264 1.934774 + house_science | -.8546682 1.732026 -0.49 0.622 -4.251204 2.541868 + house_transp | 1.434044 1.158747 1.24 0.216 -.8382817 3.70637 + house_homeland | .400671 1.734562 0.23 0.817 -3.000839 3.802181 + _cons | 4.607453 5.861028 0.79 0.432 -6.886135 16.10104 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,250 1 0 1 1 + + +j = 4 k = 2 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6186 +----------------------+---------------------- NN matches = 3 + Number of obs | 2192 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 24.47749 44.63704 .5483673 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(6,677 missing values generated) +(54,574 missing values generated) +(47,897 real changes made) +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==100 & tag_bill==1 & tenured==1, robust cluster(group_sponsor) +(sum of wgt is 38,187.5911077261) + +Linear regression Number of obs = 18,907 + F(267, 1237) = . + Prob > F = . + R-squared = 0.1613 + Root MSE = 16.384 + + (Std. Err. adjusted for 1,238 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -1.693029 .6754154 -2.51 0.012 -3.018115 -.3679423 + | + v2 | + 102 | -3.960918 1.259424 -3.15 0.002 -6.431762 -1.490074 + 103 | -3.727565 1.3237 -2.82 0.005 -6.32451 -1.13062 + 104 | -7.70307 1.61832 -4.76 0.000 -10.87802 -4.528115 + 105 | -6.185234 1.492383 -4.14 0.000 -9.113115 -3.257353 + 106 | -6.023197 1.699736 -3.54 0.000 -9.357882 -2.688513 + 107 | -5.950801 1.477602 -4.03 0.000 -8.849684 -3.051918 + 108 | -7.448501 1.305638 -5.70 0.000 -10.01001 -4.886991 + 109 | -7.961716 1.222055 -6.52 0.000 -10.35925 -5.564186 + 110 | -3.08548 1.42981 -2.16 0.031 -5.890601 -.2803597 + 111 | -4.912953 1.391186 -3.53 0.000 -7.642299 -2.183608 + | + minor | + 101 | -7.846178 5.762825 -1.36 0.174 -19.15217 3.459814 + 103 | -5.211272 3.328687 -1.57 0.118 -11.74177 1.319224 + 104 | -2.707076 4.918802 -0.55 0.582 -12.35719 6.943041 + 105 | 7.394959 7.637284 0.97 0.333 -7.588503 22.37842 + 107 | 1.069411 3.540764 0.30 0.763 -5.877156 8.015977 + 108 | 1.576704 5.032023 0.31 0.754 -8.295539 11.44895 + 110 | -6.158935 3.447837 -1.79 0.074 -12.92319 .6053204 + 200 | -2.591357 3.991187 -0.65 0.516 -10.4216 5.238888 + 201 | -9.669623 3.163404 -3.06 0.002 -15.87585 -3.463392 + 202 | -4.170277 3.109057 -1.34 0.180 -10.26989 1.929332 + 204 | 3.064888 4.847539 0.63 0.527 -6.445419 12.57519 + 205 | 10.68039 5.208574 2.05 0.041 .4617742 20.89901 + 206 | -9.061855 3.370737 -2.69 0.007 -15.67485 -2.44886 + 207 | 3.579355 4.062587 0.88 0.378 -4.390967 11.54968 + 208 | -.6280415 3.344774 -0.19 0.851 -7.190099 5.934016 + 209 | -10.02216 3.409133 -2.94 0.003 -16.71048 -3.333835 + 299 | -2.600329 10.23231 -0.25 0.799 -22.67493 17.47427 + 300 | -1.391682 3.431013 -0.41 0.685 -8.122931 5.339566 + 301 | .1118376 3.706621 0.03 0.976 -7.160121 7.383796 + 302 | .6796836 3.22501 0.21 0.833 -5.64741 7.006777 + 321 | .8224783 3.414203 0.24 0.810 -5.875791 7.520747 + 322 | -.4935389 3.468262 -0.14 0.887 -7.297865 6.310787 + 323 | 3.139658 3.736138 0.84 0.401 -4.19021 10.46953 + 324 | -.6168335 4.264489 -0.14 0.885 -8.983265 7.749598 + 325 | 2.756153 3.409008 0.81 0.419 -3.931923 9.44423 + 331 | 7.620062 3.779105 2.02 0.044 .2058975 15.03423 + 332 | .0798309 3.276303 0.02 0.981 -6.347893 6.507555 + 333 | -.3755266 3.476202 -0.11 0.914 -7.19543 6.444377 + 334 | 7.233985 4.389038 1.65 0.100 -1.376797 15.84477 + 335 | -4.568548 3.312452 -1.38 0.168 -11.06719 1.930098 + 336 | 7.303921 3.998317 1.83 0.068 -.540311 15.14815 + 341 | -1.505322 3.469398 -0.43 0.664 -8.311877 5.301233 + 342 | .6256034 3.857112 0.16 0.871 -6.941601 8.192808 + 343 | .1124782 5.370963 0.02 0.983 -10.42473 10.64968 + 344 | -2.133431 4.564043 -0.47 0.640 -11.08755 6.82069 + 398 | 2.470464 3.662261 0.67 0.500 -4.714466 9.655394 + 399 | .5816359 4.058867 0.14 0.886 -7.381389 8.544661 + 400 | 1.18589 3.897057 0.30 0.761 -6.459682 8.831463 + 401 | -.9499821 4.032196 -0.24 0.814 -8.860681 6.960717 + 402 | 14.62088 6.271001 2.33 0.020 2.317907 26.92385 + 403 | -3.006527 3.427226 -0.88 0.381 -9.730346 3.717291 + 404 | 3.169941 5.534016 0.57 0.567 -7.687155 14.02704 + 405 | 10.05133 4.972778 2.02 0.043 .2953182 19.80734 + 498 | 6.909929 7.352426 0.94 0.347 -7.514675 21.33453 + 499 | -.1202559 5.715047 -0.02 0.983 -11.33251 11.092 + 500 | -5.870251 3.308684 -1.77 0.076 -12.36151 .6210024 + 501 | -3.026466 3.447692 -0.88 0.380 -9.790436 3.737505 + 502 | -4.448338 3.351742 -1.33 0.185 -11.02407 2.127391 + 503 | -3.570009 3.361243 -1.06 0.288 -10.16438 3.024359 + 504 | -4.496174 3.336394 -1.35 0.178 -11.04179 2.049443 + 505 | -1.914457 3.410526 -0.56 0.575 -8.605512 4.776598 + 506 | -2.753779 3.350303 -0.82 0.411 -9.326684 3.819126 + 508 | .0044024 3.936431 0.00 0.999 -7.718418 7.727223 + 529 | 36.12909 4.595728 7.86 0.000 27.11281 45.14537 + 530 | -1.708515 3.296551 -0.52 0.604 -8.175964 4.758934 + 599 | 2.704035 6.005066 0.45 0.653 -9.077205 14.48527 + 600 | 10.98119 8.240933 1.33 0.183 -5.186559 27.14894 + 601 | 4.022848 4.061509 0.99 0.322 -3.94536 11.99106 + 602 | -.9079248 3.167025 -0.29 0.774 -7.12126 5.30541 + 603 | -2.559834 3.758805 -0.68 0.496 -9.934172 4.814504 + 604 | 6.069208 6.352831 0.96 0.340 -6.394307 18.53272 + 606 | 1.995903 5.039358 0.40 0.692 -7.890731 11.88254 + 607 | 2.53333 3.777647 0.67 0.503 -4.877973 9.944633 + 609 | -5.223806 3.940928 -1.33 0.185 -12.95545 2.507837 + 698 | 5.730529 7.277906 0.79 0.431 -8.547876 20.00893 + 699 | .7107325 4.016163 0.18 0.860 -7.168513 8.589978 + 700 | 1.389796 4.520264 0.31 0.759 -7.478435 10.25803 + 701 | -1.220775 3.424311 -0.36 0.722 -7.938875 5.497325 + 703 | 1.559168 3.494551 0.45 0.656 -5.296735 8.415071 + 704 | -2.458219 3.242496 -0.76 0.449 -8.819618 3.90318 + 705 | -.9905869 3.636441 -0.27 0.785 -8.124861 6.143688 + 707 | 3.836741 3.953582 0.97 0.332 -3.919726 11.59321 + 708 | -6.333621 3.511062 -1.80 0.071 -13.22192 .5546739 + 709 | 3.675003 3.295893 1.12 0.265 -2.791156 10.14116 + 710 | 2.08493 4.364344 0.48 0.633 -6.477405 10.64726 + 711 | -3.899155 3.607867 -1.08 0.280 -10.97737 3.17906 + 798 | -4.271232 4.850173 -0.88 0.379 -13.78671 5.244243 + 799 | -3.233431 4.541333 -0.71 0.477 -12.143 5.676135 + 800 | -2.303386 3.566749 -0.65 0.519 -9.300932 4.69416 + 801 | 6.017017 5.065613 1.19 0.235 -3.921125 15.95516 + 802 | 9.056696 6.215701 1.46 0.145 -3.137785 21.25118 + 803 | -.1423198 3.731993 -0.04 0.970 -7.464057 7.179417 + 805 | 3.562027 5.536296 0.64 0.520 -7.299541 14.4236 + 806 | -.0941066 3.947249 -0.02 0.981 -7.838151 7.649937 + 807 | 8.512173 4.170743 2.04 0.041 .3296599 16.69469 + 898 | -2.054959 16.19328 -0.13 0.899 -33.82428 29.71437 + 899 | -8.211101 3.395766 -2.42 0.016 -14.8732 -1.549003 + 1000 | 1.240988 3.858842 0.32 0.748 -6.32961 8.811587 + 1001 | -2.979297 4.034516 -0.74 0.460 -10.89455 4.935954 + 1002 | 7.184233 4.989165 1.44 0.150 -2.603928 16.97239 + 1003 | 2.560316 3.429268 0.75 0.455 -4.167509 9.288141 + 1005 | 7.840213 5.146866 1.52 0.128 -2.257339 17.93776 + 1006 | -.1611057 3.547767 -0.05 0.964 -7.121411 6.799199 + 1007 | 5.567527 3.785227 1.47 0.142 -1.858649 12.9937 + 1010 | -5.279952 3.301967 -1.60 0.110 -11.75803 1.198124 + 1098 | -4.258847 4.436174 -0.96 0.337 -12.9621 4.444411 + 1099 | 25.68653 11.11347 2.31 0.021 3.883188 47.48987 + 1200 | -2.102611 3.915479 -0.54 0.591 -9.784326 5.579103 + 1201 | 2.876933 4.124653 0.70 0.486 -5.215156 10.96902 + 1202 | 8.591569 4.534733 1.89 0.058 -.3050487 17.48819 + 1203 | 2.930491 3.734649 0.78 0.433 -4.396456 10.25744 + 1204 | 18.28654 7.937634 2.30 0.021 2.713826 33.85925 + 1205 | -5.642643 3.450998 -1.64 0.102 -12.4131 1.127813 + 1206 | .5949991 3.980661 0.15 0.881 -7.214594 8.404592 + 1207 | 1.063408 4.425772 0.24 0.810 -7.619441 9.746258 + 1208 | .8844656 3.179013 0.28 0.781 -5.352389 7.12132 + 1209 | -2.783238 3.312128 -0.84 0.401 -9.281249 3.714772 + 1210 | -2.540265 3.494491 -0.73 0.467 -9.396051 4.31552 + 1211 | -1.171031 3.984208 -0.29 0.769 -8.987582 6.645521 + 1299 | -1.034166 6.10392 -0.17 0.865 -13.00935 10.94101 + 1300 | -4.372416 3.549445 -1.23 0.218 -11.33601 2.591181 + 1301 | -2.149194 3.39683 -0.63 0.527 -8.813378 4.514991 + 1302 | -6.664879 3.591814 -1.86 0.064 -13.7116 .3818419 + 1303 | -7.036553 3.367224 -2.09 0.037 -13.64265 -.4304508 + 1304 | -1.973046 3.37303 -0.58 0.559 -8.590538 4.644446 + 1305 | -1.583431 3.624074 -0.44 0.662 -8.693442 5.52658 + 1399 | -4.814341 5.503883 -0.87 0.382 -15.61232 5.983636 + 1400 | 1.040523 3.626897 0.29 0.774 -6.075027 8.156073 + 1401 | 1.529256 3.936063 0.39 0.698 -6.192841 9.251353 + 1403 | 4.716844 4.372618 1.08 0.281 -3.861722 13.29541 + 1404 | 3.234788 5.845589 0.55 0.580 -8.233577 14.70315 + 1405 | 2.750951 3.917804 0.70 0.483 -4.935325 10.43723 + 1406 | -3.448806 3.426538 -1.01 0.314 -10.17128 3.273663 + 1407 | 12.78873 5.059743 2.53 0.012 2.862101 22.71535 + 1408 | -7.963343 3.235151 -2.46 0.014 -14.31033 -1.616353 + 1409 | .0214541 4.42299 0.00 0.996 -8.655937 8.698846 + 1410 | -.2116971 3.952202 -0.05 0.957 -7.965457 7.542063 + 1499 | -9.971521 3.131982 -3.18 0.001 -16.1161 -3.826938 + 1500 | -3.085547 3.925688 -0.79 0.432 -10.78729 4.616196 + 1501 | 2.262801 3.307694 0.68 0.494 -4.22651 8.752111 + 1502 | 5.066185 3.445739 1.47 0.142 -1.693953 11.82632 + 1504 | 5.616805 5.276941 1.06 0.287 -4.735939 15.96955 + 1505 | 2.134676 4.905615 0.44 0.664 -7.489569 11.75892 + 1507 | -.8055037 4.355571 -0.18 0.853 -9.350626 7.739619 + 1520 | -2.090042 3.42861 -0.61 0.542 -8.816576 4.636491 + 1521 | -.331342 3.903111 -0.08 0.932 -7.98879 7.326106 + 1522 | 12.88889 4.165952 3.09 0.002 4.715773 21.062 + 1523 | -2.001594 3.231677 -0.62 0.536 -8.341768 4.338581 + 1524 | 9.748419 5.512804 1.77 0.077 -1.06706 20.5639 + 1525 | -2.182516 3.40884 -0.64 0.522 -8.870263 4.50523 + 1526 | 2.115883 3.955873 0.53 0.593 -5.645079 9.876846 + 1599 | 1.138312 7.191253 0.16 0.874 -12.97009 15.24671 + 1600 | 9.324799 5.346467 1.74 0.081 -1.164347 19.81395 + 1602 | 1.384084 4.84962 0.29 0.775 -8.130305 10.89847 + 1603 | -13.31659 4.81946 -2.76 0.006 -22.77181 -3.86137 + 1604 | 2.451532 6.321952 0.39 0.698 -9.951402 14.85447 + 1605 | -.1150263 4.089915 -0.03 0.978 -8.138963 7.90891 + 1606 | 5.41211 5.613139 0.96 0.335 -5.600215 16.42444 + 1608 | 5.721021 3.503107 1.63 0.103 -1.151668 12.59371 + 1609 | 4.301781 3.866816 1.11 0.266 -3.284463 11.88802 + 1610 | -1.904817 3.959056 -0.48 0.631 -9.672024 5.86239 + 1611 | 20.97578 7.047284 2.98 0.003 7.149825 34.80173 + 1612 | 1.378366 3.458871 0.40 0.690 -5.407535 8.164268 + 1614 | 8.719574 7.29387 1.20 0.232 -5.59015 23.0293 + 1615 | 1.221541 4.386589 0.28 0.781 -7.384436 9.827518 + 1616 | 1.286377 3.716472 0.35 0.729 -6.004909 8.577662 + 1617 | -1.518915 4.31508 -0.35 0.725 -9.984599 6.946769 + 1619 | -2.524991 3.87846 -0.65 0.515 -10.13408 5.084096 + 1620 | 9.287049 10.0004 0.93 0.353 -10.33256 28.90666 + 1698 | 12.02763 9.815712 1.23 0.221 -7.229655 31.28491 + 1699 | 8.467802 3.99075 2.12 0.034 .6384145 16.29719 + 1700 | 4.663327 5.24882 0.89 0.374 -5.634246 14.9609 + 1701 | -2.529294 4.436755 -0.57 0.569 -11.23369 6.175103 + 1704 | -3.439915 5.55034 -0.62 0.536 -14.32904 7.449207 + 1705 | -7.260892 5.804029 -1.25 0.211 -18.64772 4.125938 + 1706 | 2.451139 3.636561 0.67 0.500 -4.683371 9.585648 + 1707 | 1.043492 3.556715 0.29 0.769 -5.934368 8.021352 + 1708 | 1.679011 4.847321 0.35 0.729 -7.830868 11.18889 + 1709 | 10.48236 5.375493 1.95 0.051 -.063734 21.02845 + 1798 | -.7105348 4.591858 -0.15 0.877 -9.719225 8.298156 + 1799 | -5.16295 10.30824 -0.50 0.617 -25.38652 15.06062 + 1800 | 14.07162 10.41556 1.35 0.177 -6.36249 34.50573 + 1802 | .6103044 4.050069 0.15 0.880 -7.335459 8.556068 + 1803 | 2.615678 4.123382 0.63 0.526 -5.473917 10.70527 + 1804 | 1.769149 4.943188 0.36 0.720 -7.92881 11.46711 + 1806 | 19.46459 8.536143 2.28 0.023 2.717668 36.21151 + 1807 | -7.293084 3.244839 -2.25 0.025 -13.65908 -.9270874 + 1808 | 9.063905 9.043302 1.00 0.316 -8.678001 26.80581 + 1899 | -10.64803 3.43424 -3.10 0.002 -17.38561 -3.910446 + 1900 | 4.128769 4.927768 0.84 0.402 -5.538938 13.79648 + 1901 | 3.168371 3.479916 0.91 0.363 -3.658819 9.995561 + 1902 | 4.063144 4.391935 0.93 0.355 -4.553322 12.67961 + 1905 | .0635791 4.340871 0.01 0.988 -8.452704 8.579862 + 1906 | 1.848119 3.845198 0.48 0.631 -5.695712 9.391951 + 1907 | 8.804344 7.226354 1.22 0.223 -5.372922 22.98161 + 1908 | 4.26351 6.598032 0.65 0.518 -8.681062 17.20808 + 1909 | 6.563876 6.399458 1.03 0.305 -5.991115 19.11887 + 1910 | -5.930547 4.429225 -1.34 0.181 -14.62017 2.759078 + 1911 | -.0149832 4.496912 -0.00 0.997 -8.837402 8.807435 + 1912 | -17.03233 3.809582 -4.47 0.000 -24.50629 -9.558377 + 1914 | -8.573045 4.016122 -2.13 0.033 -16.45221 -.6938804 + 1915 | 20.49059 5.687121 3.60 0.000 9.333125 31.64806 + 1919 | 6.983971 6.229776 1.12 0.262 -5.238125 19.20607 + 1920 | 4.655671 4.36494 1.07 0.286 -3.907833 13.21918 + 1925 | -.910711 3.29864 -0.28 0.783 -7.382258 5.560836 + 1926 | 1.250173 4.409546 0.28 0.777 -7.400844 9.901189 + 1927 | -.3466324 5.28713 -0.07 0.948 -10.71937 10.0261 + 1929 | 1.54384 4.137937 0.37 0.709 -6.574311 9.66199 + 1999 | -6.791734 3.443101 -1.97 0.049 -13.5467 -.0367717 + 2000 | -5.031182 3.465136 -1.45 0.147 -11.82938 1.767011 + 2001 | -2.506432 3.495201 -0.72 0.473 -9.36361 4.350746 + 2002 | -1.102439 3.737954 -0.29 0.768 -8.435869 6.230991 + 2003 | .7840168 4.01017 0.20 0.845 -7.08347 8.651504 + 2004 | 8.063779 3.210321 2.51 0.012 1.765504 14.36205 + 2005 | 5.201165 9.503285 0.55 0.584 -13.44317 23.8455 + 2006 | 18.38529 3.550786 5.18 0.000 11.41906 25.35152 + 2007 | -1.219726 3.675846 -0.33 0.740 -8.431308 5.991856 + 2008 | 15.43419 3.713 4.16 0.000 8.149713 22.71866 + 2009 | 5.793653 5.992456 0.97 0.334 -5.962848 17.55015 + 2010 | -12.26973 3.218219 -3.81 0.000 -18.5835 -5.955957 + 2011 | -1.261861 3.801515 -0.33 0.740 -8.719991 6.196269 + 2012 | -4.839363 3.183817 -1.52 0.129 -11.08564 1.406915 + 2013 | -.8747128 5.121884 -0.17 0.864 -10.92325 9.173828 + 2014 | 1.140902 4.330346 0.26 0.792 -7.354732 9.636537 + 2015 | .4799343 5.358721 0.09 0.929 -10.03325 10.99312 + 2030 | -4.916226 4.067159 -1.21 0.227 -12.89552 3.063065 + 2099 | 1.650202 5.55287 0.30 0.766 -9.243883 12.54429 + 2100 | -6.155229 4.221538 -1.46 0.145 -14.4374 2.126936 + 2101 | .5488089 3.390913 0.16 0.871 -6.103767 7.201385 + 2102 | .0971775 3.255387 0.03 0.976 -6.289513 6.483868 + 2103 | -.1131108 3.736325 -0.03 0.976 -7.443345 7.217123 + 2104 | -1.267368 3.370411 -0.38 0.707 -7.879722 5.344987 + 2105 | -4.286855 4.077487 -1.05 0.293 -12.28641 3.7127 + 2199 | -8.221531 3.272441 -2.51 0.012 -14.64168 -1.801383 + 9999 | 4.561259 4.489915 1.02 0.310 -4.247431 13.36995 + | + house_administration | 1.637684 1.10073 1.49 0.137 -.5218199 3.797187 + house_agriculture | -.7624658 1.327055 -0.57 0.566 -3.365993 1.841062 + house_appropriations | -5.777859 3.046024 -1.90 0.058 -11.7538 .1980858 + house_armedservices | -1.933989 2.568524 -0.75 0.452 -6.973135 3.105156 + house_budget | -5.235447 2.910574 -1.80 0.072 -10.94566 .4747607 + house_dc | -4.987655 3.17579 -1.57 0.117 -11.21818 1.242875 + house_educlabor | -3.799207 .9763033 -3.89 0.000 -5.7146 -1.883813 + house_energycommerce | -1.586783 .5924836 -2.68 0.008 -2.749167 -.4243992 + house_foreignaffairs | 2.352189 1.712953 1.37 0.170 -1.008425 5.712804 + house_governmentop | -1.635598 1.816589 -0.90 0.368 -5.199534 1.928337 + house_intelligence | 6.33319 2.691165 2.35 0.019 1.053438 11.61294 + house_interior | 1.763339 1.838141 0.96 0.338 -1.84288 5.369557 + house_judiciary | .843044 .8099114 1.04 0.298 -.7459079 2.431996 + house_mmf | 1.721579 2.269553 0.76 0.448 -2.73102 6.174178 + house_pocs | -4.356793 3.228414 -1.35 0.177 -10.69057 1.97698 + house_pwt | -.6490639 1.346609 -0.48 0.630 -3.290954 1.992827 + house_rules | 7.611423 4.672796 1.63 0.104 -1.55606 16.77891 + house_sst | 15.8675 3.598476 4.41 0.000 8.807713 22.9273 + house_smallbusi | -2.154379 2.937912 -0.73 0.464 -7.918219 3.609462 + house_soc | 2.844773 6.59455 0.43 0.666 -10.09297 15.78251 + house_veterans | -3.048433 2.350982 -1.30 0.195 -7.660787 1.563921 + house_waysandmeans | .6662942 .6654037 1.00 0.317 -.6391504 1.971739 +house_naturalresources | -1.16638 1.331879 -0.88 0.381 -3.779372 1.446611 + house_bfs | -3.584326 1.217331 -2.94 0.003 -5.972587 -1.196065 + house_eeo | -.6767865 1.66855 -0.41 0.685 -3.950288 2.596714 + house_govreform | 1.478051 1.025618 1.44 0.150 -.5340922 3.490195 + house_ir | 2.668042 1.486504 1.79 0.073 -.2483054 5.58439 + house_natsecur | -.2811571 2.210111 -0.13 0.899 -4.617138 4.054824 + house_oversight | -3.931104 1.414663 -2.78 0.006 -6.706509 -1.155699 + house_resources | 3.520006 1.688491 2.08 0.037 .2073834 6.832629 + house_science | -1.659258 1.271363 -1.31 0.192 -4.153524 .835009 + house_transp | -.8295697 .9313351 -0.89 0.373 -2.656741 .9976014 + house_homeland | -.0020028 2.123912 -0.00 0.999 -4.168871 4.164865 + _cons | 16.20519 3.058107 5.30 0.000 10.20554 22.20484 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,238 1 0 1 1 + + +j = 4 k = 3 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 11.12081 18.1168 .6138395 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(6,677 missing values generated) +(54,574 missing values generated) +(47,897 real changes made) +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==200 & tag_bill==1 & tenured==1, robust cluster(group_sponsor) +(sum of wgt is 25,970.9853513241) + +Linear regression Number of obs = 14,847 + F(265, 1009) = . + Prob > F = . + R-squared = 0.2358 + Root MSE = 23.157 + + (Std. Err. adjusted for 1,010 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 7.089934 1.091549 6.50 0.000 4.947967 9.2319 + | + v2 | + 102 | 2.507811 2.860472 0.88 0.381 -3.105344 8.120966 + 103 | -1.602392 2.042325 -0.78 0.433 -5.610084 2.405299 + 104 | .3681821 2.513746 0.15 0.884 -4.564587 5.300952 + 105 | 5.041925 2.817305 1.79 0.074 -.4865229 10.57037 + 106 | 7.736583 2.665794 2.90 0.004 2.505448 12.96772 + 107 | 6.622318 2.128279 3.11 0.002 2.445959 10.79868 + 108 | 4.290669 2.528569 1.70 0.090 -.6711884 9.252526 + 109 | 1.708802 2.15574 0.79 0.428 -2.521445 5.939049 + 110 | -4.076687 2.101702 -1.94 0.053 -8.200894 .0475196 + 111 | -5.220947 2.333335 -2.24 0.025 -9.799693 -.6422015 + | + minor | + 101 | 29.09705 7.890661 3.69 0.000 13.61306 44.58103 + 103 | 39.24093 5.939669 6.61 0.000 27.58541 50.89644 + 104 | 1.166418 6.498555 0.18 0.858 -11.58581 13.91865 + 105 | 9.606555 6.214266 1.55 0.122 -2.587811 21.80092 + 107 | 13.3714 6.464116 2.07 0.039 .6867512 26.05605 + 108 | 28.72982 9.374405 3.06 0.002 10.33426 47.12539 + 110 | 4.783646 5.924969 0.81 0.420 -6.843026 16.41032 + 200 | 15.22159 7.658491 1.99 0.047 .1931918 30.24998 + 201 | 14.67843 14.39566 1.02 0.308 -13.57043 42.92729 + 202 | 32.03901 15.57872 2.06 0.040 1.468611 62.6094 + 204 | 24.18866 8.376629 2.89 0.004 7.751046 40.62626 + 205 | 3.806446 8.364185 0.46 0.649 -12.60674 20.21964 + 206 | 10.19347 9.315317 1.09 0.274 -8.086148 28.47308 + 207 | 10.29189 6.168954 1.67 0.096 -1.813559 22.39734 + 208 | 9.667528 6.830609 1.42 0.157 -3.736298 23.07135 + 299 | 30.59082 13.78934 2.22 0.027 3.531753 57.64989 + 300 | 13.72552 10.75944 1.28 0.202 -7.387928 34.83897 + 301 | 16.39776 7.111849 2.31 0.021 2.442054 30.35347 + 302 | 14.62199 6.650263 2.20 0.028 1.572056 27.67192 + 321 | 26.02356 7.630681 3.41 0.001 11.04973 40.99738 + 322 | 28.53305 8.153702 3.50 0.000 12.5329 44.53321 + 323 | 29.95234 7.61809 3.93 0.000 15.00322 44.90145 + 324 | 4.379843 8.034786 0.55 0.586 -11.38696 20.14665 + 325 | 21.20967 9.189544 2.31 0.021 3.176866 39.24248 + 331 | 37.43838 7.222138 5.18 0.000 23.26625 51.61051 + 332 | 29.96812 8.162551 3.67 0.000 13.9506 45.98564 + 333 | 40.18328 7.297445 5.51 0.000 25.86337 54.50319 + 334 | 22.20373 8.432011 2.63 0.009 5.65744 38.75001 + 335 | 27.29384 11.46375 2.38 0.017 4.798312 49.78937 + 336 | 29.21009 7.26706 4.02 0.000 14.9498 43.47037 + 341 | 37.05008 8.725937 4.25 0.000 19.92702 54.17314 + 342 | -3.557627 14.0902 -0.25 0.801 -31.20708 24.09182 + 343 | 25.94178 9.106646 2.85 0.004 8.071642 43.81191 + 344 | 33.19136 15.90233 2.09 0.037 1.985928 64.39679 + 398 | 33.25552 7.868703 4.23 0.000 17.81462 48.69641 + 399 | 19.5292 9.915095 1.97 0.049 .0726343 38.98577 + 400 | 9.60293 7.147922 1.34 0.179 -4.423565 23.62943 + 401 | 18.73208 11.30497 1.66 0.098 -3.451876 40.91603 + 402 | 17.3936 5.866412 2.96 0.003 5.88183 28.90536 + 403 | 16.219 7.614751 2.13 0.033 1.276442 31.16156 + 404 | 29.17003 6.750992 4.32 0.000 15.92244 42.41762 + 405 | 5.938016 8.818231 0.67 0.501 -11.36616 23.24219 + 498 | 19.01982 8.056363 2.36 0.018 3.21067 34.82896 + 499 | 19.92871 8.817031 2.26 0.024 2.626892 37.23053 + 500 | 11.72106 7.622954 1.54 0.124 -3.237605 26.67972 + 501 | .1216176 5.391202 0.02 0.982 -10.45764 10.70087 + 502 | 13.17673 6.179428 2.13 0.033 1.050729 25.30273 + 503 | 9.870328 6.091023 1.62 0.105 -2.082194 21.82285 + 504 | 2.801924 9.575026 0.29 0.770 -15.98732 21.59117 + 505 | -2.319634 5.863663 -0.40 0.692 -13.82601 9.186738 + 506 | 2.143165 8.186612 0.26 0.794 -13.92157 18.2079 + 508 | 12.67224 8.224362 1.54 0.124 -3.466572 28.81105 + 529 | 18.5861 7.583369 2.45 0.014 3.705122 33.46708 + 530 | 13.92151 6.14154 2.27 0.024 1.869859 25.97317 + 599 | -3.937943 9.637751 -0.41 0.683 -22.85027 14.97439 + 600 | 9.953796 6.414601 1.55 0.121 -2.633689 22.54128 + 601 | 15.95491 5.475989 2.91 0.004 5.209276 26.70054 + 602 | 21.54551 5.759513 3.74 0.000 10.24352 32.84751 + 603 | 21.24602 20.40968 1.04 0.298 -18.80427 61.2963 + 604 | .7750912 8.638266 0.09 0.929 -16.17593 17.72611 + 606 | 24.58727 8.92067 2.76 0.006 7.082081 42.09246 + 607 | 26.81778 6.320033 4.24 0.000 14.41586 39.21969 + 609 | 12.06822 7.971445 1.51 0.130 -3.574286 27.71073 + 698 | -7.233479 5.438299 -1.33 0.184 -17.90515 3.438193 + 699 | 7.284834 11.16496 0.65 0.514 -14.62436 29.19403 + 700 | 20.34715 6.284826 3.24 0.001 8.014321 32.67997 + 701 | 22.76446 7.877549 2.89 0.004 7.306204 38.22271 + 703 | 13.08378 7.013969 1.87 0.062 -.6798582 26.84742 + 704 | 13.73333 7.780988 1.76 0.078 -1.535444 29.0021 + 705 | 2.621674 7.356961 0.36 0.722 -11.81502 17.05837 + 707 | -8.655297 7.602548 -1.14 0.255 -23.57391 6.263319 + 708 | 21.91888 10.12194 2.17 0.031 2.056419 41.78135 + 709 | 16.79301 6.054786 2.77 0.006 4.911599 28.67443 + 710 | 18.74254 5.874462 3.19 0.001 7.214977 30.2701 + 711 | 17.28735 6.855785 2.52 0.012 3.834121 30.74058 + 798 | 14.82295 12.13393 1.22 0.222 -8.987686 38.63358 + 799 | 8.231849 8.560699 0.96 0.336 -8.566963 25.03066 + 800 | 6.536146 7.756051 0.84 0.400 -8.683692 21.75598 + 801 | 5.382533 8.051004 0.67 0.504 -10.4161 21.18116 + 802 | 13.1581 7.028468 1.87 0.061 -.6339912 26.95019 + 803 | 6.791882 6.261481 1.08 0.278 -5.495135 19.0789 + 805 | -.3794827 7.233462 -0.05 0.958 -14.57383 13.81487 + 806 | 15.99033 7.122132 2.25 0.025 2.014446 29.96622 + 807 | 26.27257 7.589895 3.46 0.001 11.37878 41.16635 + 898 | 31.73632 10.45735 3.03 0.002 11.21567 52.25696 + 899 | -10.70334 9.571612 -1.12 0.264 -29.48588 8.079205 + 1000 | 14.02968 7.675593 1.83 0.068 -1.032277 29.09163 + 1001 | 32.14618 6.288125 5.11 0.000 19.80688 44.48548 + 1002 | 19.35778 6.816659 2.84 0.005 5.98133 32.73423 + 1003 | 13.92124 6.343595 2.19 0.028 1.473087 26.36939 + 1005 | 8.031268 9.123109 0.88 0.379 -9.871172 25.93371 + 1006 | 27.57823 7.022219 3.93 0.000 13.7984 41.35806 + 1007 | 17.11689 5.24962 3.26 0.001 6.815466 27.41831 + 1010 | 15.1641 10.85242 1.40 0.163 -6.131795 36.45999 + 1098 | 19.26378 9.105305 2.12 0.035 1.396281 37.13129 + 1099 | -5.515865 5.871319 -0.94 0.348 -17.03726 6.005528 + 1200 | 10.6981 7.036659 1.52 0.129 -3.110066 24.50626 + 1201 | 16.45861 6.9266 2.38 0.018 2.866423 30.0508 + 1202 | 13.06845 6.866891 1.90 0.057 -.4065693 26.54348 + 1203 | 10.20308 6.722329 1.52 0.129 -2.988263 23.39443 + 1204 | 12.61954 5.975566 2.11 0.035 .893581 24.3455 + 1205 | 11.4718 6.366855 1.80 0.072 -1.021995 23.96559 + 1206 | 16.09302 5.684845 2.83 0.005 4.937548 27.24849 + 1207 | 18.73106 7.017928 2.67 0.008 4.959659 32.50247 + 1208 | 24.51041 6.552962 3.74 0.000 11.65141 37.3694 + 1209 | 21.01117 6.334027 3.32 0.001 8.581797 33.44055 + 1210 | 10.82188 6.059266 1.79 0.074 -1.068326 22.71209 + 1211 | 20.44552 6.994767 2.92 0.004 6.719568 34.17148 + 1299 | 29.85634 6.543649 4.56 0.000 17.01562 42.69706 + 1300 | 18.96127 11.47007 1.65 0.099 -3.54666 41.4692 + 1301 | 39.53406 6.425882 6.15 0.000 26.92443 52.14368 + 1302 | 3.853786 8.931051 0.43 0.666 -13.67177 21.37935 + 1303 | 19.78423 11.10156 1.78 0.075 -2.000567 41.56902 + 1304 | 16.71601 7.660289 2.18 0.029 1.684085 31.74793 + 1305 | 25.35276 7.204279 3.52 0.000 11.21567 39.48984 + 1399 | 3.27935 9.794836 0.33 0.738 -15.94123 22.49993 + 1400 | 12.23866 7.095158 1.72 0.085 -1.684295 26.16161 + 1401 | 23.4937 7.047495 3.33 0.001 9.664277 37.32313 + 1403 | 21.5435 10.4901 2.05 0.040 .9585872 42.12841 + 1404 | 7.876134 8.747795 0.90 0.368 -9.289821 25.04209 + 1405 | 25.10733 13.09372 1.92 0.055 -.5867145 50.80138 + 1406 | 11.81991 7.455779 1.59 0.113 -2.810696 26.45052 + 1407 | 36.39951 8.653047 4.21 0.000 19.41949 53.37954 + 1408 | 20.23334 12.67588 1.60 0.111 -4.640768 45.10745 + 1409 | 24.04316 11.14333 2.16 0.031 2.176407 45.90992 + 1410 | 20.89706 8.692683 2.40 0.016 3.839254 37.95487 + 1499 | 19.26805 10.19552 1.89 0.059 -.7388093 39.27491 + 1500 | 9.760973 7.475335 1.31 0.192 -4.908011 24.42996 + 1501 | 19.25861 6.70849 2.87 0.004 6.094423 32.4228 + 1502 | 13.33743 6.10655 2.18 0.029 1.354438 25.32042 + 1504 | 9.798205 6.405902 1.53 0.126 -2.772211 22.36862 + 1505 | 28.49343 6.436293 4.43 0.000 15.86337 41.12348 + 1507 | 18.79183 6.636989 2.83 0.005 5.767951 31.81572 + 1520 | 10.26881 6.816409 1.51 0.132 -3.107152 23.64477 + 1521 | 17.87696 6.562871 2.72 0.007 4.99852 30.7554 + 1522 | 29.7663 6.893549 4.32 0.000 16.23897 43.29364 + 1523 | 15.46303 6.308089 2.45 0.014 3.084552 27.84151 + 1524 | 23.33625 9.26679 2.52 0.012 5.151865 41.52064 + 1525 | 9.392971 6.751104 1.39 0.164 -3.854841 22.64078 + 1526 | 21.88241 6.392725 3.42 0.001 9.337851 34.42697 + 1599 | 26.60154 8.758924 3.04 0.002 9.413745 43.78933 + 1600 | 14.44139 6.81964 2.12 0.034 1.059087 27.82369 + 1602 | 12.67326 9.852639 1.29 0.199 -6.66075 32.00727 + 1603 | 10.90097 7.278146 1.50 0.135 -3.381065 25.18301 + 1604 | 16.46594 7.293624 2.26 0.024 2.15353 30.77835 + 1605 | 20.67239 12.11969 1.71 0.088 -3.110306 44.45508 + 1606 | 24.78926 7.468394 3.32 0.001 10.1339 39.44463 + 1608 | 16.92186 6.879891 2.46 0.014 3.421329 30.4224 + 1609 | 29.41109 6.127549 4.80 0.000 17.3869 41.43529 + 1610 | 11.09284 8.677831 1.28 0.201 -5.935823 28.1215 + 1611 | 19.18307 7.374853 2.60 0.009 4.711267 33.65488 + 1612 | 24.42998 8.396059 2.91 0.004 7.954239 40.90571 + 1614 | -15.11808 7.948278 -1.90 0.057 -30.71513 .4789677 + 1615 | 16.3025 7.598912 2.15 0.032 1.391017 31.21398 + 1616 | 3.645144 6.15962 0.59 0.554 -8.441988 15.73228 + 1617 | 15.66303 7.897774 1.98 0.048 .1650847 31.16097 + 1619 | 4.551791 5.36331 0.85 0.396 -5.972728 15.07631 + 1620 | 11.08357 8.161768 1.36 0.175 -4.932417 27.09955 + 1698 | 7.541934 7.984606 0.94 0.345 -8.126402 23.21027 + 1699 | 21.9723 7.454692 2.95 0.003 7.343822 36.60077 + 1700 | 15.92481 11.60505 1.37 0.170 -6.847987 38.6976 + 1701 | 15.26916 7.068351 2.16 0.031 1.398804 29.13951 + 1704 | 25.88794 7.872661 3.29 0.001 10.43927 41.3366 + 1705 | 10.99866 13.73048 0.80 0.423 -15.9449 37.94222 + 1706 | 20.28811 7.268138 2.79 0.005 6.025716 34.55051 + 1707 | 10.86885 7.527399 1.44 0.149 -3.902296 25.64 + 1708 | 24.49731 7.480594 3.27 0.001 9.818007 39.17661 + 1709 | 29.33182 7.347973 3.99 0.000 14.91276 43.75087 + 1798 | 31.46593 8.083252 3.89 0.000 15.60402 47.32784 + 1799 | 12.76089 12.62378 1.01 0.312 -12.01097 37.53275 + 1800 | 15.03233 7.725924 1.95 0.052 -.1283887 30.19305 + 1802 | 20.6446 7.486635 2.76 0.006 5.95344 35.33575 + 1803 | 18.73999 7.8808 2.38 0.018 3.275356 34.20463 + 1804 | 18.35477 6.880603 2.67 0.008 4.852836 31.8567 + 1806 | 3.169387 6.655681 0.48 0.634 -9.891174 16.22995 + 1807 | 1.602892 6.178089 0.26 0.795 -10.52048 13.72627 + 1808 | 6.883077 6.599745 1.04 0.297 -6.06772 19.83387 + 1899 | -12.36655 5.81917 -2.13 0.034 -23.78561 -.9474925 + 1900 | 12.00568 6.288495 1.91 0.057 -.3343468 24.34571 + 1901 | 9.271317 6.289253 1.47 0.141 -3.070196 21.61283 + 1902 | 32.52849 10.29151 3.16 0.002 12.33328 52.7237 + 1905 | 19.1752 12.93544 1.48 0.139 -6.208238 44.55865 + 1906 | 22.30428 7.467794 2.99 0.003 7.650092 36.95846 + 1907 | 27.05765 6.600914 4.10 0.000 14.10456 40.01075 + 1908 | 10.70084 11.82497 0.90 0.366 -12.50351 33.90519 + 1909 | 46.3572 7.827472 5.92 0.000 30.99721 61.71719 + 1910 | 22.14341 12.31495 1.80 0.072 -2.022449 46.30926 + 1911 | 22.08149 11.83783 1.87 0.062 -1.148087 45.31107 + 1912 | -4.640726 6.05597 -0.77 0.444 -16.52446 7.243012 + 1914 | 3.68433 7.879433 0.47 0.640 -11.77762 19.14628 + 1915 | 15.01226 11.96721 1.25 0.210 -8.471205 38.49572 + 1919 | 17.86307 6.554191 2.73 0.007 5.00166 30.72447 + 1920 | 12.02828 6.592694 1.82 0.068 -.9086764 24.96524 + 1925 | 28.71106 6.646556 4.32 0.000 15.66841 41.75372 + 1926 | 4.330316 6.250134 0.69 0.489 -7.934434 16.59507 + 1927 | 5.90995 6.644394 0.89 0.374 -7.128463 18.94836 + 1929 | 8.883991 6.719316 1.32 0.186 -4.301443 22.06943 + 1999 | 21.17152 19.31044 1.10 0.273 -16.72171 59.06475 + 2000 | 6.041153 6.590448 0.92 0.360 -6.891401 18.97371 + 2001 | 9.56851 7.501426 1.28 0.202 -5.151672 24.28869 + 2002 | 9.368976 6.283146 1.49 0.136 -2.960554 21.69851 + 2003 | 25.70825 6.820958 3.77 0.000 12.32337 39.09314 + 2004 | 20.81055 6.318685 3.29 0.001 8.411277 33.20981 + 2005 | 5.162683 7.498349 0.69 0.491 -9.551462 19.87683 + 2006 | 37.87607 6.343699 5.97 0.000 25.42772 50.32442 + 2007 | 12.93792 8.402609 1.54 0.124 -3.550671 29.42651 + 2008 | 20.95083 6.084878 3.44 0.001 9.010367 32.8913 + 2009 | 17.49065 11.57257 1.51 0.131 -5.218415 40.19972 + 2011 | 3.384001 5.568089 0.61 0.543 -7.542359 14.31036 + 2012 | 2.893821 5.837036 0.50 0.620 -8.560299 14.34794 + 2013 | 25.26663 9.459967 2.67 0.008 6.703164 43.83009 + 2014 | 3.90377 7.940046 0.49 0.623 -11.67712 19.48466 + 2015 | 20.44104 8.86628 2.31 0.021 3.042584 37.8395 + 2030 | 19.35266 8.980086 2.16 0.031 1.730878 36.97444 + 2099 | 13.81554 6.910298 2.00 0.046 .2553383 27.37574 + 2100 | 9.543117 6.815796 1.40 0.162 -3.831642 22.91788 + 2101 | 27.44754 6.047472 4.54 0.000 15.58048 39.3146 + 2102 | 14.02359 6.1932 2.26 0.024 1.870565 26.17662 + 2103 | 8.838371 5.80223 1.52 0.128 -2.547449 20.22419 + 2104 | 13.17544 6.777004 1.94 0.052 -.1231993 26.47407 + 2105 | 24.88468 7.208248 3.45 0.001 10.7398 39.02955 + 2199 | -6.790324 6.61935 -1.03 0.305 -19.77959 6.198946 + 9999 | 7.22939 6.476511 1.12 0.265 -5.479584 19.93836 + | + house_administration | -.3002968 2.309242 -0.13 0.897 -4.831764 4.23117 + house_agriculture | -4.011087 2.499818 -1.60 0.109 -8.916525 .8943511 + house_appropriations | -12.76778 2.767187 -4.61 0.000 -18.19788 -7.337676 + house_armedservices | -1.054404 2.241173 -0.47 0.638 -5.452298 3.34349 + house_budget | -1.944997 1.919168 -1.01 0.311 -5.711015 1.821021 + house_dc | 9.093389 6.915289 1.31 0.189 -4.476605 22.66338 + house_educlabor | 2.768163 2.85405 0.97 0.332 -2.832391 8.368717 + house_energycommerce | 7.070108 1.585304 4.46 0.000 3.959238 10.18098 + house_foreignaffairs | 2.592388 4.083977 0.63 0.526 -5.421672 10.60645 + house_governmentop | 3.231681 2.520098 1.28 0.200 -1.713553 8.176914 + house_intelligence | -7.831525 4.637337 -1.69 0.092 -16.93145 1.268403 + house_interior | -.9551355 4.40116 -0.22 0.828 -9.59161 7.681339 + house_judiciary | -3.353529 1.157432 -2.90 0.004 -5.624779 -1.082279 + house_mmf | 2.543823 4.811748 0.53 0.597 -6.898356 11.986 + house_pocs | -3.607488 2.806677 -1.29 0.199 -9.11508 1.900103 + house_pwt | .4802749 3.941447 0.12 0.903 -7.254098 8.214648 + house_rules | -4.341777 1.716165 -2.53 0.012 -7.709438 -.9741161 + house_sst | 5.792819 6.559811 0.88 0.377 -7.079615 18.66525 + house_smallbusi | .1816443 5.030174 0.04 0.971 -9.689156 10.05245 + house_soc | 5.593064 4.04733 1.38 0.167 -2.349084 13.53521 + house_veterans | .4696591 2.794636 0.17 0.867 -5.014305 5.953624 + house_waysandmeans | -3.474445 1.658405 -2.10 0.036 -6.728762 -.2201277 +house_naturalresources | 3.459566 2.374764 1.46 0.145 -1.200477 8.119608 + house_bfs | -2.464988 1.782114 -1.38 0.167 -5.962062 1.032087 + house_eeo | -1.806048 4.157708 -0.43 0.664 -9.964792 6.352697 + house_govreform | 2.554429 2.051442 1.25 0.213 -1.471152 6.58001 + house_ir | 8.53024 2.224102 3.84 0.000 4.165845 12.89463 + house_natsecur | -7.612743 2.527698 -3.01 0.003 -12.57289 -2.652597 + house_oversight | .7245288 2.71986 0.27 0.790 -4.612701 6.061759 + house_resources | -7.719195 1.884526 -4.10 0.000 -11.41723 -4.021156 + house_science | -.8701411 2.539061 -0.34 0.732 -5.852587 4.112305 + house_transp | 5.917925 1.825383 3.24 0.001 2.335944 9.499906 + house_homeland | -.9225172 1.921201 -0.48 0.631 -4.692524 2.84749 + _cons | 2.902288 6.188826 0.47 0.639 -9.242156 15.04673 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,010 1 0 1 1 + + +j = 5 k = 1 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 11989 +----------------------+---------------------- NN matches = 3 + Number of obs | 6150 5839 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 15.71586 27.17455 .5783301 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(7,341 missing values generated) +(54,749 missing values generated) +(47,408 real changes made) +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* [aw=wt] if tag_bill==1 & tenured==1, robust cluster(group_sponsor) +(sum of wgt is 71,424.2252115011) + +Linear regression Number of obs = 33,479 + F(268, 2231) = . + Prob > F = . + R-squared = 0.1573 + Root MSE = 21.083 + + (Std. Err. adjusted for 2,232 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 1.959187 1.165959 1.68 0.093 -.3272918 4.245666 + | + v2 | + 102 | -2.953436 4.410248 -0.67 0.503 -11.60206 5.695183 + 103 | -6.059295 2.482296 -2.44 0.015 -10.92715 -1.191442 + 104 | -5.197431 3.42536 -1.52 0.129 -11.91466 1.519795 + 105 | -3.921247 3.135163 -1.25 0.211 -10.06939 2.226895 + 106 | -2.288143 3.588749 -0.64 0.524 -9.32578 4.749493 + 107 | -2.410621 3.338073 -0.72 0.470 -8.956675 4.135432 + 108 | -1.931582 3.143378 -0.61 0.539 -8.095833 4.232669 + 109 | -4.157521 2.849837 -1.46 0.145 -9.74613 1.431088 + 110 | -5.533628 2.605132 -2.12 0.034 -10.64237 -.4248912 + 111 | -9.323992 2.747779 -3.39 0.001 -14.71246 -3.935522 + | + minor | + 101 | 24.9224 9.399398 2.65 0.008 6.48992 43.35488 + 103 | -.3789714 7.643433 -0.05 0.960 -15.36796 14.61001 + 104 | .2372232 4.757845 0.05 0.960 -9.093043 9.56749 + 105 | 8.262274 4.924998 1.68 0.094 -1.395783 17.92033 + 107 | 10.09804 4.222662 2.39 0.017 1.817279 18.37879 + 108 | 15.03983 6.753383 2.23 0.026 1.796258 28.2834 + 110 | .2778594 4.319162 0.06 0.949 -8.192138 8.747856 + 200 | 5.359983 5.127026 1.05 0.296 -4.694258 15.41422 + 201 | -1.242128 4.292698 -0.29 0.772 -9.660228 7.175973 + 202 | 9.782365 7.030285 1.39 0.164 -4.004219 23.56895 + 204 | 3.121117 4.999035 0.62 0.532 -6.682131 12.92436 + 205 | 12.22029 7.910258 1.54 0.123 -3.29195 27.73252 + 206 | 2.163086 4.474238 0.48 0.629 -6.611019 10.93719 + 207 | 9.150876 4.668495 1.96 0.050 -.0041738 18.30593 + 208 | 6.178188 4.850742 1.27 0.203 -3.334252 15.69063 + 209 | -.530006 5.060334 -0.10 0.917 -10.45346 9.39345 + 299 | 26.22878 13.37575 1.96 0.050 -.0014304 52.45899 + 300 | 14.09942 5.895921 2.39 0.017 2.537353 25.66148 + 301 | 16.10385 4.174902 3.86 0.000 7.916752 24.29095 + 302 | 13.04313 4.722676 2.76 0.006 3.781832 22.30443 + 321 | 17.19891 4.503442 3.82 0.000 8.367536 26.03028 + 322 | 23.04326 8.890265 2.59 0.010 5.609208 40.47732 + 323 | 10.16983 5.992146 1.70 0.090 -1.580937 21.92059 + 324 | 8.506293 6.098275 1.39 0.163 -3.452595 20.46518 + 325 | 12.6834 7.989696 1.59 0.113 -2.984621 28.35141 + 331 | 27.39057 6.996669 3.91 0.000 13.66991 41.11123 + 332 | 11.535 5.68986 2.03 0.043 .3770217 22.69297 + 333 | 18.47881 6.444776 2.87 0.004 5.840424 31.1172 + 334 | 24.4311 5.765755 4.24 0.000 13.12429 35.7379 + 335 | 13.00404 6.923899 1.88 0.060 -.5739179 26.582 + 336 | 16.82048 5.039092 3.34 0.001 6.938684 26.70228 + 341 | 9.049377 5.404499 1.67 0.094 -1.548996 19.64775 + 342 | 5.355535 5.555853 0.96 0.335 -5.539647 16.25072 + 343 | 18.40211 6.904842 2.67 0.008 4.861523 31.9427 + 344 | 6.959907 6.523534 1.07 0.286 -5.832925 19.75274 + 398 | 21.51867 8.486409 2.54 0.011 4.876589 38.16076 + 399 | 23.11232 8.279952 2.79 0.005 6.875105 39.34954 + 400 | 4.166436 5.824345 0.72 0.474 -7.255266 15.58814 + 401 | 2.800528 9.074204 0.31 0.758 -14.99424 20.59529 + 402 | 18.51544 5.994446 3.09 0.002 6.760162 30.27071 + 403 | 2.482211 5.600798 0.44 0.658 -8.50111 13.46553 + 404 | 14.76785 8.214627 1.80 0.072 -1.341264 30.87696 + 405 | 13.38936 6.4352 2.08 0.038 .7697564 26.00897 + 498 | 13.46695 7.132554 1.89 0.059 -.5201891 27.45409 + 499 | 6.311693 6.767334 0.93 0.351 -6.959237 19.58262 + 500 | -1.798151 5.902747 -0.30 0.761 -13.3736 9.7773 + 501 | .5558686 4.827196 0.12 0.908 -8.910398 10.02214 + 502 | -1.992597 5.898834 -0.34 0.736 -13.56037 9.575181 + 503 | 3.49739 4.309745 0.81 0.417 -4.954139 11.94892 + 504 | 1.571842 7.425993 0.21 0.832 -12.99074 16.13442 + 505 | -.4381638 5.460075 -0.08 0.936 -11.14552 10.26919 + 506 | -1.584399 5.372513 -0.29 0.768 -12.12005 8.951249 + 508 | 6.957674 3.93748 1.77 0.077 -.763834 14.67918 + 529 | 26.38207 7.348074 3.59 0.000 11.97229 40.79185 + 530 | 7.455562 4.888503 1.53 0.127 -2.130928 17.04205 + 599 | 5.618748 6.672177 0.84 0.400 -7.465576 18.70307 + 600 | 7.105294 6.225326 1.14 0.254 -5.102745 19.31333 + 601 | 9.247423 5.007511 1.85 0.065 -.5724449 19.06729 + 602 | 11.58411 9.060593 1.28 0.201 -6.183965 29.35219 + 603 | -.9364358 5.751533 -0.16 0.871 -12.21535 10.34248 + 604 | 3.687824 7.451305 0.49 0.621 -10.92439 18.30004 + 606 | 13.87456 7.478162 1.86 0.064 -.7903245 28.53944 + 607 | 18.69064 6.759746 2.76 0.006 5.434592 31.94669 + 609 | 8.797493 5.54299 1.59 0.113 -2.072465 19.66745 + 698 | 5.834935 8.871177 0.66 0.511 -11.56169 23.23156 + 699 | 7.955914 6.157257 1.29 0.196 -4.118638 20.03047 + 700 | 8.302776 5.356449 1.55 0.121 -2.201369 18.80692 + 701 | 15.00368 5.604493 2.68 0.007 4.013112 25.99425 + 703 | 12.77258 5.2624 2.43 0.015 2.452865 23.09229 + 704 | 17.27506 7.70674 2.24 0.025 2.16193 32.38819 + 705 | 6.47505 5.626309 1.15 0.250 -4.558299 17.5084 + 707 | .1402386 7.309971 0.02 0.985 -14.19482 14.4753 + 708 | -1.015341 5.422735 -0.19 0.851 -11.64948 9.618795 + 709 | 8.558569 4.790945 1.79 0.074 -.8366079 17.95375 + 710 | 14.12775 4.305198 3.28 0.001 5.685132 22.57036 + 711 | 13.18811 5.070453 2.60 0.009 3.244806 23.13141 + 798 | 14.18479 5.983194 2.37 0.018 2.451576 25.918 + 799 | 5.390185 6.797924 0.79 0.428 -7.940733 18.7211 + 800 | 7.525766 4.739274 1.59 0.112 -1.768082 16.81961 + 801 | 7.702786 5.73898 1.34 0.180 -3.551513 18.95709 + 802 | 12.76042 5.760184 2.22 0.027 1.464536 24.0563 + 803 | 6.803046 4.76331 1.43 0.153 -2.537939 16.14403 + 805 | 6.613386 5.644626 1.17 0.241 -4.455882 17.68265 + 806 | 10.42199 5.200185 2.00 0.045 .2242776 20.61969 + 807 | 18.59921 5.834215 3.19 0.001 7.158156 30.04027 + 898 | 15.89262 7.947673 2.00 0.046 .3070151 31.47823 + 899 | .0820467 6.776388 0.01 0.990 -13.20664 13.37073 + 1000 | 11.91641 5.32212 2.24 0.025 1.479582 22.35323 + 1001 | 21.37087 5.500956 3.88 0.000 10.58334 32.1584 + 1002 | 21.91622 5.388539 4.07 0.000 11.34915 32.4833 + 1003 | 10.67971 6.126823 1.74 0.081 -1.335159 22.69458 + 1005 | 31.95368 8.833436 3.62 0.000 14.63107 49.2763 + 1006 | 24.43342 5.428409 4.50 0.000 13.78816 35.07868 + 1007 | 8.529189 5.528498 1.54 0.123 -2.31235 19.37073 + 1010 | 3.649809 4.950145 0.74 0.461 -6.057563 13.35718 + 1098 | 10.8806 6.528689 1.67 0.096 -1.922342 23.68354 + 1099 | 16.29244 10.00991 1.63 0.104 -3.33728 35.92215 + 1200 | 5.757281 4.805077 1.20 0.231 -3.665609 15.18017 + 1201 | 14.55401 5.027142 2.90 0.004 4.69564 24.41237 + 1202 | 18.69241 5.291096 3.53 0.000 8.316422 29.06839 + 1203 | 12.03213 5.234587 2.30 0.022 1.766962 22.2973 + 1204 | 24.99049 7.839319 3.19 0.001 9.617368 40.36361 + 1205 | 8.792226 4.559381 1.93 0.054 -.1488474 17.7333 + 1206 | 8.068413 5.206964 1.55 0.121 -2.142589 18.27941 + 1207 | 7.809839 5.233935 1.49 0.136 -2.454053 18.07373 + 1208 | 21.57053 6.315975 3.42 0.001 9.18473 33.95634 + 1209 | 8.919138 4.341638 2.05 0.040 .4050644 17.43321 + 1210 | 8.257273 4.384137 1.88 0.060 -.340142 16.85469 + 1211 | 7.38427 4.750068 1.55 0.120 -1.930746 16.69929 + 1299 | 10.30233 7.563729 1.36 0.173 -4.530349 25.13502 + 1300 | 8.948626 6.165393 1.45 0.147 -3.141881 21.03913 + 1301 | 8.570761 6.108878 1.40 0.161 -3.408919 20.55044 + 1302 | 10.55254 4.645545 2.27 0.023 1.442499 19.66259 + 1303 | 30.27993 12.41395 2.44 0.015 5.935825 54.62403 + 1304 | 9.493363 4.803518 1.98 0.048 .0735301 18.9132 + 1305 | 10.70467 5.30937 2.02 0.044 .2928452 21.11649 + 1399 | 2.453402 6.087477 0.40 0.687 -9.48431 14.39111 + 1400 | 8.676039 5.08881 1.70 0.088 -1.303259 18.65534 + 1401 | 7.981269 4.800893 1.66 0.097 -1.433417 17.39595 + 1403 | 11.26272 5.544366 2.03 0.042 .3900588 22.13537 + 1404 | 5.628722 6.120274 0.92 0.358 -6.373306 17.63075 + 1405 | 21.39097 9.428685 2.27 0.023 2.901059 39.88089 + 1406 | 3.56709 4.763469 0.75 0.454 -5.774206 12.90839 + 1407 | 23.14735 5.319252 4.35 0.000 12.71614 33.57855 + 1408 | -1.452006 7.457658 -0.19 0.846 -16.07668 13.17267 + 1409 | 11.91205 9.342818 1.27 0.202 -6.409476 30.23358 + 1410 | 9.850394 6.362596 1.55 0.122 -2.626834 22.32762 + 1499 | 7.165928 5.961416 1.20 0.229 -4.524575 18.85643 + 1500 | 3.190315 7.243551 0.44 0.660 -11.01449 17.39512 + 1501 | 11.76316 4.93618 2.38 0.017 2.08317 21.44314 + 1502 | 11.68339 4.506047 2.59 0.010 2.846902 20.51987 + 1504 | 6.732799 4.65867 1.45 0.149 -2.402983 15.86858 + 1505 | 17.03209 5.504364 3.09 0.002 6.237877 27.8263 + 1507 | 1.485966 5.738792 0.26 0.796 -9.767966 12.7399 + 1520 | 9.074692 4.530845 2.00 0.045 .1895799 17.95981 + 1521 | 12.05596 5.781238 2.09 0.037 .7187892 23.39313 + 1522 | 25.37426 4.905024 5.17 0.000 15.75537 34.99315 + 1523 | 4.354661 4.76243 0.91 0.361 -4.984597 13.69392 + 1524 | 12.11468 6.611668 1.83 0.067 -.8509817 25.08035 + 1525 | 4.87585 5.082374 0.96 0.337 -5.090828 14.84253 + 1526 | 14.67898 4.782708 3.07 0.002 5.299959 24.05801 + 1599 | 15.17399 8.280466 1.83 0.067 -1.064237 31.41221 + 1600 | 6.576746 5.194457 1.27 0.206 -3.609729 16.76322 + 1602 | 7.743994 5.283268 1.47 0.143 -2.616643 18.10463 + 1603 | 2.094484 5.333309 0.39 0.695 -8.364283 12.55325 + 1604 | 12.66347 6.856822 1.85 0.065 -.7829452 26.10989 + 1605 | 11.84003 7.84483 1.51 0.131 -3.543897 27.22397 + 1606 | 16.46017 5.208898 3.16 0.002 6.245376 26.67496 + 1608 | 5.938429 4.906472 1.21 0.226 -3.683298 15.56016 + 1609 | 18.36425 4.377137 4.20 0.000 9.780558 26.94793 + 1610 | 5.404624 5.284514 1.02 0.307 -4.958456 15.7677 + 1611 | 31.18662 9.263955 3.37 0.001 13.01975 49.35349 + 1612 | 13.22255 4.832121 2.74 0.006 3.746626 22.69847 + 1614 | 7.821936 7.37224 1.06 0.289 -6.635233 22.27911 + 1615 | 17.79934 8.566375 2.08 0.038 1.000436 34.59824 + 1616 | -.2995123 4.932269 -0.06 0.952 -9.971829 9.372804 + 1617 | 2.814491 5.375419 0.52 0.601 -7.726856 13.35584 + 1619 | 1.069463 5.262188 0.20 0.839 -9.249834 11.38876 + 1620 | 13.36125 8.163832 1.64 0.102 -2.648252 29.37075 + 1698 | 18.56226 6.108065 3.04 0.002 6.584179 30.54035 + 1699 | 18.98302 4.669935 4.06 0.000 9.825145 28.14089 + 1700 | 15.61976 6.159811 2.54 0.011 3.540195 27.69932 + 1701 | 12.12062 4.385345 2.76 0.006 3.520832 20.7204 + 1704 | 21.24045 7.160114 2.97 0.003 7.199266 35.28163 + 1705 | 7.905747 5.430142 1.46 0.146 -2.742913 18.55441 + 1706 | 19.88125 5.902196 3.37 0.001 8.306884 31.45563 + 1707 | 6.403361 7.685776 0.83 0.405 -8.66866 21.47538 + 1708 | 16.81735 4.949671 3.40 0.001 7.110904 26.52379 + 1709 | 34.85791 6.620726 5.26 0.000 21.87448 47.84134 + 1798 | 21.19667 5.592748 3.79 0.000 10.22913 32.1642 + 1799 | 14.59454 8.785152 1.66 0.097 -2.633387 31.82247 + 1800 | 26.4277 7.353604 3.59 0.000 12.00708 40.84833 + 1802 | 13.04924 4.449521 2.93 0.003 4.323609 21.77488 + 1803 | 13.32676 4.995056 2.67 0.008 3.531311 23.1222 + 1804 | 12.36851 4.454483 2.78 0.006 3.633142 21.10387 + 1806 | 11.04577 6.440802 1.71 0.086 -1.584818 23.67637 + 1807 | -.1493903 3.996924 -0.04 0.970 -7.987469 7.688688 + 1808 | 6.24575 6.068303 1.03 0.303 -5.654362 18.14586 + 1899 | -5.834901 4.525538 -1.29 0.197 -14.70961 3.039806 + 1900 | 10.32995 4.43281 2.33 0.020 1.637082 19.02281 + 1901 | 4.315739 5.394789 0.80 0.424 -6.263592 14.89507 + 1902 | 17.81848 6.838992 2.61 0.009 4.407026 31.22994 + 1905 | -1.082883 8.331746 -0.13 0.897 -17.42167 15.2559 + 1906 | 11.97467 5.120674 2.34 0.019 1.932886 22.01646 + 1907 | 18.67941 5.353403 3.49 0.000 8.181236 29.17758 + 1908 | 13.32273 6.404204 2.08 0.038 .7639047 25.88155 + 1909 | 30.18972 7.541703 4.00 0.000 15.40022 44.97921 + 1910 | 17.03487 9.130672 1.87 0.062 -.8706371 34.94037 + 1911 | 6.871104 4.991891 1.38 0.169 -2.918133 16.66034 + 1912 | -7.204852 4.160902 -1.73 0.083 -15.3645 .954792 + 1914 | 1.236835 4.529313 0.27 0.785 -7.645274 10.11895 + 1915 | 22.23837 7.654656 2.91 0.004 7.227376 37.24937 + 1919 | 14.33781 4.628843 3.10 0.002 5.260524 23.4151 + 1920 | 11.13511 4.208522 2.65 0.008 2.882077 19.38813 + 1925 | 27.8822 11.21379 2.49 0.013 5.891645 49.87275 + 1926 | 12.67543 9.876106 1.28 0.199 -6.691893 32.04274 + 1927 | -1.673947 4.596974 -0.36 0.716 -10.68874 7.340846 + 1929 | 1.809752 7.096682 0.26 0.799 -12.10704 15.72654 + 1999 | 10.97721 10.99012 1.00 0.318 -10.57471 32.52914 + 2000 | -.3621399 6.744726 -0.05 0.957 -13.58874 12.86446 + 2001 | 7.712846 6.372785 1.21 0.226 -4.784362 20.21005 + 2002 | 8.772965 4.430504 1.98 0.048 .084623 17.46131 + 2003 | 26.73449 4.610074 5.80 0.000 17.694 35.77497 + 2004 | 9.066015 5.256827 1.72 0.085 -1.242769 19.3748 + 2005 | 11.49127 7.351186 1.56 0.118 -2.924612 25.90715 + 2006 | 28.97802 4.759291 6.09 0.000 19.64492 38.31112 + 2007 | 2.477498 5.013932 0.49 0.621 -7.354963 12.30996 + 2008 | 26.40926 4.299813 6.14 0.000 17.9772 34.84131 + 2009 | 15.0776 6.90786 2.18 0.029 1.531096 28.62411 + 2010 | -3.202015 4.42424 -0.72 0.469 -11.87807 5.474042 + 2011 | 6.143288 4.833716 1.27 0.204 -3.335765 15.62234 + 2012 | 3.718068 4.226708 0.88 0.379 -4.570624 12.00676 + 2013 | 21.58575 9.046392 2.39 0.017 3.845528 39.32598 + 2014 | 8.669745 5.131474 1.69 0.091 -1.393218 18.73271 + 2015 | 11.3962 5.454295 2.09 0.037 .7001741 22.09222 + 2030 | 17.29946 7.391189 2.34 0.019 2.80513 31.79378 + 2099 | 10.95615 5.237273 2.09 0.037 .6857093 21.22659 + 2100 | 2.299495 5.052828 0.46 0.649 -7.609242 12.20823 + 2101 | 12.89653 5.005975 2.58 0.010 3.07967 22.71338 + 2102 | 15.19616 3.822321 3.98 0.000 7.700486 22.69184 + 2103 | 9.214951 4.700363 1.96 0.050 -.0025924 18.43249 + 2104 | 10.42634 4.8476 2.15 0.032 .9200637 19.93262 + 2105 | 5.313589 6.786539 0.78 0.434 -7.995003 18.62218 + 2199 | -6.361884 4.681548 -1.36 0.174 -15.54253 2.818762 + 9999 | 9.181077 4.704745 1.95 0.051 -.0450588 18.40721 + | + house_administration | -3.271906 2.396683 -1.37 0.172 -7.971868 1.428057 + house_agriculture | -.5521124 1.717943 -0.32 0.748 -3.921047 2.816822 + house_appropriations | -4.336692 3.5816 -1.21 0.226 -11.36031 2.686925 + house_armedservices | -2.349761 2.051992 -1.15 0.252 -6.373775 1.674253 + house_budget | -.9734859 1.848887 -0.53 0.599 -4.599205 2.652233 + house_dc | -4.697118 3.533501 -1.33 0.184 -11.62641 2.232175 + house_educlabor | 2.509261 3.07768 0.82 0.415 -3.526156 8.544678 + house_energycommerce | -1.206691 2.028491 -0.59 0.552 -5.184618 2.771235 + house_foreignaffairs | 3.58299 4.977697 0.72 0.472 -6.178413 13.34439 + house_governmentop | .3285247 1.65172 0.20 0.842 -2.910545 3.567595 + house_intelligence | -2.954086 2.556302 -1.16 0.248 -7.967066 2.058894 + house_interior | 1.390887 2.510511 0.55 0.580 -3.532295 6.314068 + house_judiciary | -1.959392 1.10382 -1.78 0.076 -4.124013 .2052299 + house_mmf | 1.642403 4.107115 0.40 0.689 -6.411764 9.69657 + house_pocs | -6.055354 2.668761 -2.27 0.023 -11.28887 -.8218401 + house_pwt | -1.958074 2.002944 -0.98 0.328 -5.885902 1.969754 + house_rules | -1.234 2.335809 -0.53 0.597 -5.814585 3.346586 + house_sst | 2.416131 3.031534 0.80 0.426 -3.528792 8.361054 + house_smallbusi | -4.675718 2.851651 -1.64 0.101 -10.26789 .9164487 + house_soc | 8.182779 6.3213 1.29 0.196 -4.213467 20.57902 + house_veterans | -3.938336 2.20097 -1.79 0.074 -8.2545 .3778289 + house_waysandmeans | -1.327788 1.628857 -0.82 0.415 -4.522023 1.866446 +house_naturalresources | 1.877157 2.930447 0.64 0.522 -3.869531 7.623845 + house_bfs | .3001076 1.378125 0.22 0.828 -2.402434 3.002649 + house_eeo | -1.570067 3.201553 -0.49 0.624 -7.848401 4.708267 + house_govreform | .8642917 1.208399 0.72 0.475 -1.505412 3.233996 + house_ir | 6.519654 2.294998 2.84 0.005 2.019099 11.02021 + house_natsecur | -2.972842 2.729298 -1.09 0.276 -8.325072 2.379387 + house_oversight | -2.17228 1.601071 -1.36 0.175 -5.312024 .9674642 + house_resources | -1.28257 1.8328 -0.70 0.484 -4.876743 2.311603 + house_science | .3562616 1.499012 0.24 0.812 -2.583343 3.295866 + house_transp | -1.608382 1.814103 -0.89 0.375 -5.165888 1.949125 + house_homeland | -1.80354 1.925139 -0.94 0.349 -5.578792 1.971712 + _cons | 8.735848 5.908899 1.48 0.139 -2.851667 20.32336 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,232 1 0 1 1 + + +j = 5 k = 2 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==100 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 6186 +----------------------+---------------------- NN matches = 3 + Number of obs | 2192 3994 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 24.47749 44.63704 .5483673 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(7,341 missing values generated) +(54,749 missing values generated) +(47,408 real changes made) +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==100 & tag_bill==1 & tenured==1, robust cluster(group_sponsor) +(sum of wgt is 38,688.9325270653) + +Linear regression Number of obs = 18,845 + F(267, 1231) = . + Prob > F = . + R-squared = 0.1715 + Root MSE = 15.927 + + (Std. Err. adjusted for 1,232 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | -1.675483 .6529436 -2.57 0.010 -2.956488 -.3944773 + | + v2 | + 102 | -3.01756 1.223452 -2.47 0.014 -5.417842 -.6172782 + 103 | -2.344622 1.238248 -1.89 0.059 -4.773931 .0846876 + 104 | -6.431356 1.530037 -4.20 0.000 -9.433126 -3.429587 + 105 | -5.183424 1.523492 -3.40 0.001 -8.172351 -2.194497 + 106 | -4.750273 1.641171 -2.89 0.004 -7.970075 -1.53047 + 107 | -4.620431 1.513487 -3.05 0.002 -7.589729 -1.651132 + 108 | -5.725075 1.447085 -3.96 0.000 -8.564102 -2.886049 + 109 | -6.707451 1.151172 -5.83 0.000 -8.965927 -4.448976 + 110 | -.9044663 1.380616 -0.66 0.513 -3.613086 1.804154 + 111 | -3.596822 1.304257 -2.76 0.006 -6.155634 -1.038009 + | + minor | + 101 | -7.698124 5.720521 -1.35 0.179 -18.92117 3.524926 + 103 | -5.999986 3.279847 -1.83 0.068 -12.43469 .4347225 + 104 | -4.042121 4.453189 -0.91 0.364 -12.7788 4.694558 + 105 | 2.892011 6.233259 0.46 0.643 -9.336976 15.121 + 107 | .5693671 3.504532 0.16 0.871 -6.306149 7.444883 + 108 | 2.55554 5.349946 0.48 0.633 -7.940481 13.05156 + 110 | -7.341037 3.299175 -2.23 0.026 -13.81366 -.8684094 + 200 | -3.084548 3.554094 -0.87 0.386 -10.0573 3.888204 + 201 | -9.730476 3.208094 -3.03 0.002 -16.02441 -3.43654 + 202 | -1.977763 3.293229 -0.60 0.548 -8.438725 4.4832 + 204 | 3.670523 4.854314 0.76 0.450 -5.853122 13.19417 + 205 | 21.00186 8.045039 2.61 0.009 5.218351 36.78536 + 206 | -9.36905 3.339069 -2.81 0.005 -15.91995 -2.818154 + 207 | 2.872733 3.66782 0.78 0.434 -4.323138 10.0686 + 208 | -1.826333 3.414637 -0.53 0.593 -8.525485 4.87282 + 209 | -9.166435 3.500978 -2.62 0.009 -16.03498 -2.297891 + 299 | -2.698266 10.37443 -0.26 0.795 -23.05179 17.65526 + 300 | -2.568892 3.480785 -0.74 0.461 -9.39782 4.260035 + 301 | 2.870059 3.888996 0.74 0.461 -4.759735 10.49985 + 302 | .023723 3.177783 0.01 0.994 -6.210746 6.258192 + 321 | .7578245 3.753365 0.20 0.840 -6.605876 8.121525 + 322 | -1.150766 3.355225 -0.34 0.732 -7.733358 5.431826 + 323 | -.955586 3.887347 -0.25 0.806 -8.582144 6.670972 + 324 | -3.209241 3.717205 -0.86 0.388 -10.502 4.083517 + 325 | 5.22538 3.819512 1.37 0.172 -2.268094 12.71885 + 331 | 6.223753 3.812291 1.63 0.103 -1.255553 13.70306 + 332 | .4551964 3.445148 0.13 0.895 -6.303815 7.214208 + 333 | -.2044779 3.603075 -0.06 0.955 -7.273325 6.864369 + 334 | 5.063416 3.911958 1.29 0.196 -2.611428 12.73826 + 335 | -5.505104 3.201663 -1.72 0.086 -11.78642 .7762153 + 336 | 4.09178 3.861045 1.06 0.289 -3.483177 11.66674 + 341 | -2.131414 3.532424 -0.60 0.546 -9.061651 4.798824 + 342 | .8353513 4.27259 0.20 0.845 -7.547014 9.217716 + 343 | 1.766577 4.558011 0.39 0.698 -7.175752 10.70891 + 344 | -2.739709 4.391919 -0.62 0.533 -11.35618 5.876765 + 398 | 2.234243 3.732962 0.60 0.550 -5.089429 9.557915 + 399 | 1.028314 4.195783 0.25 0.806 -7.203363 9.259991 + 400 | .5412767 3.824778 0.14 0.887 -6.962528 8.045082 + 401 | -1.744255 4.37754 -0.40 0.690 -10.33252 6.844009 + 402 | 15.85688 5.450149 2.91 0.004 5.164273 26.54949 + 403 | -3.517193 3.592635 -0.98 0.328 -10.56556 3.531171 + 404 | -1.255865 5.148785 -0.24 0.807 -11.35723 8.8455 + 405 | 9.637021 4.969885 1.94 0.053 -.1133607 19.3874 + 498 | 8.295862 7.405508 1.12 0.263 -6.232952 22.82468 + 499 | -1.238859 5.550252 -0.22 0.823 -12.12786 9.650142 + 500 | -7.654112 3.336941 -2.29 0.022 -14.20083 -1.107391 + 501 | -3.474148 3.459656 -1.00 0.315 -10.26162 3.313326 + 502 | -5.359092 3.250315 -1.65 0.099 -11.73586 1.017679 + 503 | -3.946491 3.249858 -1.21 0.225 -10.32236 2.429382 + 504 | -5.25872 3.264651 -1.61 0.107 -11.66362 1.146176 + 505 | -1.583598 3.507076 -0.45 0.652 -8.464106 5.29691 + 506 | -3.177618 3.370409 -0.94 0.346 -9.789999 3.434764 + 508 | -2.129252 3.551637 -0.60 0.549 -9.097185 4.83868 + 529 | 32.94657 6.471485 5.09 0.000 20.25021 45.64293 + 530 | -1.909311 3.371528 -0.57 0.571 -8.523889 4.705267 + 599 | 5.753591 5.070497 1.13 0.257 -4.194181 15.70136 + 600 | 8.065389 7.163639 1.13 0.260 -5.988904 22.11968 + 601 | 3.217428 3.813876 0.84 0.399 -4.264987 10.69984 + 602 | -1.84631 3.133617 -0.59 0.556 -7.994131 4.301511 + 603 | -2.977023 3.694113 -0.81 0.420 -10.22448 4.270432 + 604 | 5.252784 5.653962 0.93 0.353 -5.839685 16.34525 + 606 | 4.084193 6.159114 0.66 0.507 -7.999329 16.16772 + 607 | 2.005081 3.935656 0.51 0.611 -5.716255 9.726417 + 609 | -2.162698 4.034769 -0.54 0.592 -10.07848 5.753088 + 698 | 7.592899 7.702112 0.99 0.324 -7.51782 22.70362 + 699 | 1.414498 4.812432 0.29 0.769 -8.026978 10.85598 + 700 | .1542121 4.309606 0.04 0.971 -8.300774 8.609198 + 701 | -.5488761 3.469782 -0.16 0.874 -7.356217 6.258465 + 703 | 2.094312 3.581601 0.58 0.559 -4.932407 9.12103 + 704 | -1.415749 3.339854 -0.42 0.672 -7.968184 5.136686 + 705 | -2.787187 3.872691 -0.72 0.472 -10.38499 4.810619 + 707 | 1.904089 3.330032 0.57 0.568 -4.629078 8.437256 + 708 | -8.313216 3.336599 -2.49 0.013 -14.85927 -1.767166 + 709 | 3.101967 3.759831 0.83 0.410 -4.274418 10.47835 + 710 | 2.380958 4.582783 0.52 0.603 -6.609972 11.37189 + 711 | -1.387987 3.663181 -0.38 0.705 -8.574757 5.798782 + 798 | -1.43863 4.935698 -0.29 0.771 -11.12194 8.244681 + 799 | -1.992286 5.263932 -0.38 0.705 -12.31956 8.334985 + 800 | -1.514578 3.712587 -0.41 0.683 -8.798276 5.76912 + 801 | 4.284507 5.306119 0.81 0.420 -6.12553 14.69454 + 802 | 7.413062 5.885625 1.26 0.208 -4.133905 18.96003 + 803 | .6156673 4.103829 0.15 0.881 -7.435605 8.66694 + 805 | 4.90075 5.29126 0.93 0.355 -5.480136 15.28164 + 806 | -1.178131 3.974891 -0.30 0.767 -8.976442 6.62018 + 807 | 6.224047 4.617045 1.35 0.178 -2.834102 15.2822 + 898 | 2.865615 14.04341 0.20 0.838 -24.68606 30.41729 + 899 | -8.337826 3.388423 -2.46 0.014 -14.98555 -1.690104 + 1000 | 2.722471 4.037127 0.67 0.500 -5.19794 10.64288 + 1001 | -1.851961 4.086303 -0.45 0.650 -9.868851 6.164929 + 1002 | 10.3669 5.962593 1.74 0.082 -1.331072 22.06487 + 1003 | 3.407585 3.500832 0.97 0.331 -3.460672 10.27584 + 1005 | 25.26655 8.266239 3.06 0.002 9.049072 41.48403 + 1006 | .5520334 3.577211 0.15 0.877 -6.466072 7.570139 + 1007 | 4.731555 3.825782 1.24 0.216 -2.774219 12.23733 + 1010 | -4.840536 3.36061 -1.44 0.150 -11.43369 1.752621 + 1098 | -2.618784 4.879351 -0.54 0.592 -12.19155 6.953981 + 1099 | 25.69621 11.98881 2.14 0.032 2.175449 49.21696 + 1200 | -2.875499 4.005953 -0.72 0.473 -10.73475 4.983752 + 1201 | 5.34446 4.219992 1.27 0.206 -2.934713 13.62363 + 1202 | 10.47534 4.005343 2.62 0.009 2.61729 18.3334 + 1203 | 2.501151 3.623647 0.69 0.490 -4.608057 9.61036 + 1204 | 21.02002 6.561201 3.20 0.001 8.147646 33.89239 + 1205 | -6.538473 3.524385 -1.86 0.064 -13.45294 .3759937 + 1206 | -.0488596 3.741252 -0.01 0.990 -7.388796 7.291077 + 1207 | -2.241167 4.326063 -0.52 0.605 -10.72844 6.246106 + 1208 | 1.217452 3.525129 0.35 0.730 -5.698473 8.133378 + 1209 | -3.726985 3.347782 -1.11 0.266 -10.29498 2.841005 + 1210 | -3.526744 3.422253 -1.03 0.303 -10.24084 3.187349 + 1211 | -2.195817 3.760692 -0.58 0.559 -9.573893 5.182258 + 1299 | -4.097131 6.196265 -0.66 0.509 -16.25354 8.059278 + 1300 | -3.810837 3.612602 -1.05 0.292 -10.89838 3.276703 + 1301 | -2.986524 3.411904 -0.88 0.382 -9.680315 3.707267 + 1302 | -6.424885 3.497639 -1.84 0.066 -13.28688 .4371078 + 1303 | -6.025406 3.255116 -1.85 0.064 -12.41159 .3607836 + 1304 | -.4091323 3.743376 -0.11 0.913 -7.753235 6.93497 + 1305 | 1.130394 4.825249 0.23 0.815 -8.336227 10.59702 + 1399 | -5.722837 5.157258 -1.11 0.267 -15.84083 4.395152 + 1400 | -.037255 3.542592 -0.01 0.992 -6.987442 6.912932 + 1401 | .3354852 3.872477 0.09 0.931 -7.261901 7.932871 + 1403 | 4.902309 4.691445 1.04 0.296 -4.301804 14.10642 + 1404 | 2.172247 5.830196 0.37 0.710 -9.265974 13.61047 + 1405 | 3.280843 3.947584 0.83 0.406 -4.463894 11.02558 + 1406 | -2.760644 4.503293 -0.61 0.540 -11.59562 6.074333 + 1407 | 12.13908 4.741792 2.56 0.011 2.836194 21.44197 + 1408 | -7.581042 3.271548 -2.32 0.021 -13.99947 -1.162615 + 1409 | -.1952182 4.231329 -0.05 0.963 -8.496633 8.106196 + 1410 | -2.10163 3.649463 -0.58 0.565 -9.261485 5.058226 + 1499 | -10.39126 3.148095 -3.30 0.001 -16.56749 -4.215037 + 1500 | -3.087346 4.035036 -0.77 0.444 -11.00365 4.828964 + 1501 | .0970758 3.418107 0.03 0.977 -6.608884 6.803036 + 1502 | 4.627558 3.52688 1.31 0.190 -2.291804 11.54692 + 1504 | 2.175856 4.326401 0.50 0.615 -6.31208 10.66379 + 1505 | 3.164831 4.668693 0.68 0.498 -5.994645 12.32431 + 1507 | -7.204628 4.301532 -1.67 0.094 -15.64377 1.234517 + 1520 | -1.21505 3.556564 -0.34 0.733 -8.192648 5.762547 + 1521 | -3.202096 3.894398 -0.82 0.411 -10.84249 4.438295 + 1522 | 12.38693 4.160894 2.98 0.003 4.223698 20.55016 + 1523 | -4.087539 3.394149 -1.20 0.229 -10.7465 2.571417 + 1524 | 8.282845 6.047911 1.37 0.171 -3.58251 20.1482 + 1525 | -.9265645 3.389438 -0.27 0.785 -7.576278 5.723149 + 1526 | 1.665262 4.093595 0.41 0.684 -6.365933 9.696458 + 1599 | .8170186 6.836825 0.12 0.905 -12.5961 14.23014 + 1600 | 4.557734 5.064133 0.90 0.368 -5.377553 14.49302 + 1602 | 1.757827 5.263727 0.33 0.738 -8.569043 12.0847 + 1603 | -12.42169 4.826746 -2.57 0.010 -21.89125 -2.95213 + 1604 | 4.063129 7.431522 0.55 0.585 -10.51672 18.64298 + 1605 | -1.021236 4.290615 -0.24 0.812 -9.438964 7.396491 + 1606 | 7.167448 5.212076 1.38 0.169 -3.058088 17.39298 + 1608 | .7166993 3.742335 0.19 0.848 -6.625361 8.05876 + 1609 | 4.246266 3.474999 1.22 0.222 -2.571309 11.06384 + 1610 | -1.747903 4.056328 -0.43 0.667 -9.705984 6.210178 + 1611 | 25.5613 7.966591 3.21 0.001 9.931696 41.1909 + 1612 | -.2346051 3.685503 -0.06 0.949 -7.465168 6.995958 + 1614 | 8.41247 7.190567 1.17 0.242 -5.694653 22.51959 + 1615 | 8.257776 7.976573 1.04 0.301 -7.391407 23.90696 + 1616 | 1.768437 3.578435 0.49 0.621 -5.252069 8.788943 + 1617 | -4.081401 4.155181 -0.98 0.326 -12.23342 4.070619 + 1619 | -2.655213 3.962968 -0.67 0.503 -10.43013 5.119706 + 1620 | 11.57877 10.9084 1.06 0.289 -9.822347 32.97989 + 1698 | 11.06856 9.796744 1.13 0.259 -8.151604 30.28872 + 1699 | 8.683589 4.064514 2.14 0.033 .7094475 16.65773 + 1700 | 6.813075 5.495439 1.24 0.215 -3.968389 17.59454 + 1701 | -1.441982 4.50847 -0.32 0.749 -10.28712 7.403153 + 1704 | -1.286527 5.948283 -0.22 0.829 -12.95642 10.38337 + 1705 | -5.707523 5.660782 -1.01 0.314 -16.81337 5.398324 + 1706 | 4.994455 4.05356 1.23 0.218 -2.958195 12.94711 + 1707 | .1416728 3.647172 0.04 0.969 -7.013689 7.297035 + 1708 | 2.294378 5.015352 0.46 0.647 -7.545205 12.13396 + 1709 | 11.77063 5.328185 2.21 0.027 1.317301 22.22396 + 1798 | .9237152 4.580401 0.20 0.840 -8.06254 9.909971 + 1799 | -.2055666 12.78942 -0.02 0.987 -25.29704 24.8859 + 1800 | 8.324336 9.880568 0.84 0.400 -11.06028 27.70895 + 1802 | .1722873 3.819671 0.05 0.964 -7.321498 7.666073 + 1803 | 4.402251 4.945969 0.89 0.374 -5.301211 14.10571 + 1804 | .7509697 4.816879 0.16 0.876 -8.69923 10.20117 + 1806 | 15.4418 9.320701 1.66 0.098 -2.844416 33.72802 + 1807 | -7.680558 3.202061 -2.40 0.017 -13.96266 -1.398456 + 1808 | 7.020278 8.277912 0.85 0.397 -9.220099 23.26065 + 1899 | -11.29829 3.556457 -3.18 0.002 -18.27568 -4.320906 + 1900 | 3.361395 4.724236 0.71 0.477 -5.907049 12.62984 + 1901 | 4.262218 4.506996 0.95 0.344 -4.580027 13.10446 + 1902 | 4.116684 3.860907 1.07 0.287 -3.458002 11.69137 + 1905 | -.1761165 4.270264 -0.04 0.967 -8.553918 8.201685 + 1906 | .3867048 3.829214 0.10 0.920 -7.125804 7.899214 + 1907 | 6.241751 6.608258 0.94 0.345 -6.722944 19.20645 + 1908 | 4.143622 6.531553 0.63 0.526 -8.670586 16.95783 + 1909 | 7.508025 6.621572 1.13 0.257 -5.482791 20.49884 + 1910 | -6.445192 4.239292 -1.52 0.129 -14.76223 1.871846 + 1911 | -1.664297 4.378155 -0.38 0.704 -10.25377 6.925176 + 1912 | -15.77614 3.688365 -4.28 0.000 -23.01232 -8.539964 + 1914 | -8.613554 3.947127 -2.18 0.029 -16.3574 -.8697127 + 1915 | 17.59731 6.077383 2.90 0.004 5.674133 29.52048 + 1919 | 9.15383 6.422822 1.43 0.154 -3.447059 21.75472 + 1920 | 3.970565 4.659793 0.85 0.394 -5.171451 13.11258 + 1925 | .1601251 3.400046 0.05 0.962 -6.5104 6.830651 + 1926 | 2.226578 4.5439 0.49 0.624 -6.688067 11.14122 + 1927 | -3.519024 4.474632 -0.79 0.432 -12.29777 5.259725 + 1929 | 5.969711 5.297145 1.13 0.260 -4.422721 16.36214 + 1999 | -7.294419 3.542948 -2.06 0.040 -14.2453 -.3435346 + 2000 | -2.702569 3.608274 -0.75 0.454 -9.781616 4.376477 + 2001 | -2.87885 3.563411 -0.81 0.419 -9.869882 4.112181 + 2002 | -.9687798 3.896572 -0.25 0.804 -8.613437 6.675877 + 2003 | .4074036 3.631599 0.11 0.911 -6.717405 7.532212 + 2004 | 1.114531 3.899696 0.29 0.775 -6.536255 8.765317 + 2005 | 5.002098 9.399527 0.53 0.595 -13.43877 23.44296 + 2006 | 19.57986 3.82534 5.12 0.000 12.07495 27.08477 + 2007 | -.8700697 3.805126 -0.23 0.819 -8.33532 6.59518 + 2008 | 17.84813 4.339123 4.11 0.000 9.335233 26.36102 + 2009 | 5.613895 6.028186 0.93 0.352 -6.212761 17.44055 + 2010 | -13.59822 3.239802 -4.20 0.000 -19.95436 -7.242076 + 2011 | .2761795 4.222526 0.07 0.948 -8.007964 8.560323 + 2012 | -4.488199 3.274107 -1.37 0.171 -10.91165 1.935248 + 2013 | 4.884954 9.717682 0.50 0.615 -14.1801 23.95001 + 2014 | 1.680559 4.273976 0.39 0.694 -6.704523 10.06564 + 2015 | 2.815603 5.703696 0.49 0.622 -8.374438 14.00564 + 2030 | -6.27775 3.600186 -1.74 0.081 -13.34093 .7854293 + 2099 | 3.6192 4.852757 0.75 0.456 -5.901391 13.13979 + 2100 | -3.113783 3.842321 -0.81 0.418 -10.652 4.424438 + 2101 | 3.216854 3.779363 0.85 0.395 -4.197851 10.63156 + 2102 | .8478442 3.531056 0.24 0.810 -6.07971 7.775398 + 2103 | 2.289399 4.537739 0.50 0.614 -6.613158 11.19196 + 2104 | 1.929537 3.903902 0.49 0.621 -5.729501 9.588574 + 2105 | -4.225011 4.018289 -1.05 0.293 -12.10846 3.658442 + 2199 | -6.853447 3.433325 -2.00 0.046 -13.58926 -.1176311 + 9999 | 3.830384 4.612941 0.83 0.406 -5.219713 12.88048 + | + house_administration | .3411999 1.168316 0.29 0.770 -1.950911 2.633311 + house_agriculture | -.6045366 1.23446 -0.49 0.624 -3.026416 1.817343 + house_appropriations | -8.299292 2.514847 -3.30 0.001 -13.23315 -3.365431 + house_armedservices | -1.124583 1.37852 -0.82 0.415 -3.829092 1.579926 + house_budget | -4.192179 3.02438 -1.39 0.166 -10.12569 1.74133 + house_dc | -6.287767 3.121144 -2.01 0.044 -12.41112 -.1644158 + house_educlabor | -3.352843 .8426468 -3.98 0.000 -5.006026 -1.69966 + house_energycommerce | -1.821016 .5900055 -3.09 0.002 -2.978544 -.6634882 + house_foreignaffairs | 1.544079 1.671422 0.92 0.356 -1.735073 4.82323 + house_governmentop | -1.370625 1.685143 -0.81 0.416 -4.676694 1.935445 + house_intelligence | 5.022449 3.187499 1.58 0.115 -1.231082 11.27598 + house_interior | -.5786687 2.405585 -0.24 0.810 -5.29817 4.140832 + house_judiciary | 1.264388 .7412551 1.71 0.088 -.1898756 2.718651 + house_mmf | 5.108125 3.185071 1.60 0.109 -1.140643 11.35689 + house_pocs | -.7016359 1.418003 -0.49 0.621 -3.483605 2.080334 + house_pwt | -1.085716 1.5993 -0.68 0.497 -4.223371 2.051939 + house_rules | 8.944691 3.808404 2.35 0.019 1.47301 16.41637 + house_sst | 13.29022 3.714186 3.58 0.000 6.003381 20.57705 + house_smallbusi | -.8297548 2.442191 -0.34 0.734 -5.621073 3.961563 + house_soc | .8159776 6.494665 0.13 0.900 -11.92586 13.55781 + house_veterans | -3.078334 1.182401 -2.60 0.009 -5.398078 -.7585908 + house_waysandmeans | 1.362897 .5642994 2.42 0.016 .2558021 2.469992 +house_naturalresources | -3.661344 1.65415 -2.21 0.027 -6.906611 -.4160783 + house_bfs | -2.737365 1.104386 -2.48 0.013 -4.904053 -.5706776 + house_eeo | -1.437101 1.325084 -1.08 0.278 -4.036774 1.162573 + house_govreform | 1.979031 1.140712 1.73 0.083 -.2589232 4.216985 + house_ir | 2.585274 1.610294 1.61 0.109 -.5739505 5.744499 + house_natsecur | -.2911099 2.18947 -0.13 0.894 -4.586615 4.004395 + house_oversight | -5.275621 1.611372 -3.27 0.001 -8.43696 -2.114282 + house_resources | 2.505369 1.809928 1.38 0.167 -1.045516 6.056254 + house_science | -1.437054 1.387459 -1.04 0.301 -4.1591 1.284991 + house_transp | -2.275265 .9636016 -2.36 0.018 -4.165748 -.3847817 + house_homeland | -1.401402 2.011621 -0.70 0.486 -5.347987 2.545183 + _cons | 14.91378 3.196049 4.67 0.000 8.643476 21.18409 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,232 1 0 1 1 + + +j = 5 k = 3 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female if sponsor_party==200 & tag_bill==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5803 +----------------------+---------------------- NN matches = 3 + Number of obs | 3958 1845 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 + Range of MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 11.12081 18.1168 .6138395 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female)) +(13,828 missing values generated) +(55,922 missing values generated) +(42,094 real changes made) +reg pct_cosponsors_opposite sponsor_female i.v2 i.minor house_* [aw=wt] if sponsor_party==200 & tag_bill==1 & tenured==1, robust cluster(group_sponsor) +(sum of wgt is 18,737.6658051014) + +Linear regression Number of obs = 13,536 + F(265, 938) = . + Prob > F = . + R-squared = 0.2318 + Root MSE = 22.807 + + (Std. Err. adjusted for 939 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female | 7.989631 1.081064 7.39 0.000 5.868047 10.11122 + | + v2 | + 102 | .0348095 2.488929 0.01 0.989 -4.849705 4.919324 + 103 | -3.700282 1.98246 -1.87 0.062 -7.590852 .1902871 + 104 | -.7259666 2.053909 -0.35 0.724 -4.756755 3.304822 + 105 | 1.197391 2.175 0.55 0.582 -3.071037 5.46582 + 106 | 5.014246 2.044177 2.45 0.014 1.002556 9.025936 + 107 | 4.614451 1.900018 2.43 0.015 .8856737 8.343228 + 108 | 4.968533 2.058017 2.41 0.016 .9296826 9.007383 + 109 | 1.215457 1.832095 0.66 0.507 -2.380023 4.810936 + 110 | -3.921299 1.828668 -2.14 0.032 -7.510054 -.3325443 + 111 | -5.322992 2.09816 -2.54 0.011 -9.440623 -1.205361 + | + minor | + 101 | 20.46441 8.606598 2.38 0.018 3.573996 37.35483 + 103 | 34.4377 4.561793 7.55 0.000 25.4852 43.3902 + 104 | .0325002 4.904215 0.01 0.995 -9.592003 9.657003 + 105 | 6.88411 4.730725 1.46 0.146 -2.399919 16.16814 + 107 | 6.909145 4.568016 1.51 0.131 -2.055569 15.87386 + 108 | 13.52334 7.522135 1.80 0.073 -1.238818 28.28551 + 110 | .277635 4.474569 0.06 0.951 -8.50369 9.05896 + 200 | 8.753575 7.001381 1.25 0.212 -4.986609 22.49376 + 201 | 10.41794 14.55946 0.72 0.474 -18.15494 38.99082 + 202 | 23.1986 17.16148 1.35 0.177 -10.48073 56.87794 + 204 | 23.71213 8.076368 2.94 0.003 7.862285 39.56197 + 205 | -5.296503 8.014766 -0.66 0.509 -21.02545 10.43244 + 206 | 13.96848 10.73488 1.30 0.194 -7.098677 35.03563 + 207 | 9.585786 5.29086 1.81 0.070 -.7975065 19.96908 + 208 | 2.108433 5.288495 0.40 0.690 -8.27022 12.48709 + 299 | 28.43485 12.1826 2.33 0.020 4.526538 52.34317 + 300 | 15.19565 7.129982 2.13 0.033 1.203091 29.18822 + 301 | 14.0727 5.365566 2.62 0.009 3.542798 24.60261 + 302 | 10.07569 5.137584 1.96 0.050 -.0068003 20.15818 + 321 | 16.35365 6.047233 2.70 0.007 4.485976 28.22132 + 322 | 23.36968 5.513579 4.24 0.000 12.5493 34.19006 + 323 | 22.20667 6.078296 3.65 0.000 10.27804 34.1353 + 324 | .8795314 6.559134 0.13 0.893 -11.99274 13.75181 + 325 | 15.16265 6.402483 2.37 0.018 2.5978 27.7275 + 331 | 31.2337 6.608174 4.73 0.000 18.26518 44.20222 + 332 | 20.18627 6.27375 3.22 0.001 7.874057 32.49848 + 333 | 34.99463 6.243882 5.60 0.000 22.74104 47.24823 + 334 | 19.1191 5.75253 3.32 0.001 7.829777 30.40842 + 335 | 17.61121 6.969701 2.53 0.012 3.933195 31.28922 + 336 | 25.58845 5.523519 4.63 0.000 14.74857 36.42834 + 341 | 31.768 7.661242 4.15 0.000 16.73284 46.80316 + 342 | 2.962012 16.77511 0.18 0.860 -29.95908 35.8831 + 343 | 17.90671 7.201285 2.49 0.013 3.77422 32.03921 + 344 | 26.60105 14.02466 1.90 0.058 -.9222998 54.12439 + 398 | 26.78826 5.646996 4.74 0.000 15.70606 37.87047 + 399 | 14.39368 7.890124 1.82 0.068 -1.090659 29.87802 + 400 | 8.736724 6.061983 1.44 0.150 -3.159895 20.63334 + 401 | 15.43154 8.429332 1.83 0.067 -1.110989 31.97408 + 402 | 14.19976 4.501546 3.15 0.002 5.365497 23.03403 + 403 | 19.38242 6.622539 2.93 0.004 6.38571 32.37913 + 404 | 24.61459 5.166832 4.76 0.000 14.4747 34.75447 + 405 | 11.25168 9.699843 1.16 0.246 -7.784226 30.28759 + 498 | 9.419721 6.650033 1.42 0.157 -3.630943 22.47039 + 499 | 10.86016 7.708667 1.41 0.159 -4.268075 25.98839 + 500 | 11.75186 7.80475 1.51 0.132 -3.564929 27.06866 + 501 | -1.839091 4.719946 -0.39 0.697 -11.10197 7.423784 + 502 | 8.143124 5.111734 1.59 0.111 -1.888634 18.17488 + 503 | 4.239892 4.559767 0.93 0.353 -4.708634 13.18842 + 504 | -2.436764 7.010736 -0.35 0.728 -16.19531 11.32178 + 505 | .1306707 5.277892 0.02 0.980 -10.22717 10.48851 + 506 | -5.656979 5.449973 -1.04 0.300 -16.35253 5.038573 + 508 | 10.14589 6.103166 1.66 0.097 -1.831549 22.12333 + 529 | 14.83734 8.003248 1.85 0.064 -.8690087 30.54368 + 530 | 11.30281 4.362292 2.59 0.010 2.74183 19.86379 + 599 | -.2886082 8.221992 -0.04 0.972 -16.42424 15.84702 + 600 | 4.320091 5.632174 0.77 0.443 -6.73303 15.37321 + 601 | 10.93376 4.827418 2.26 0.024 1.459971 20.40755 + 602 | 16.10549 4.723937 3.41 0.001 6.83478 25.3762 + 603 | -1.693318 9.017888 -0.19 0.851 -19.39089 16.00425 + 604 | 6.685803 9.655073 0.69 0.489 -12.26224 25.63385 + 606 | 19.27881 8.770614 2.20 0.028 2.066514 36.49111 + 607 | 24.52427 5.334263 4.60 0.000 14.0558 34.99274 + 609 | 10.4994 6.808928 1.54 0.123 -2.863098 23.86189 + 698 | -12.91191 4.99715 -2.58 0.010 -22.7188 -3.105022 + 699 | 14.2245 10.68103 1.33 0.183 -6.736978 35.18597 + 700 | 14.28493 5.104297 2.80 0.005 4.267769 24.3021 + 701 | 16.00683 6.303082 2.54 0.011 3.637052 28.3766 + 703 | 10.30081 5.32834 1.93 0.054 -.1560373 20.75766 + 704 | 6.036409 5.02211 1.20 0.230 -3.819463 15.89228 + 705 | -3.069014 5.539994 -0.55 0.580 -13.94123 7.803203 + 707 | -9.872293 8.002718 -1.23 0.218 -25.5776 5.833011 + 708 | 17.27487 9.25309 1.87 0.062 -.8842831 35.43403 + 709 | 13.99142 4.70374 2.97 0.003 4.760345 23.22249 + 710 | 14.75192 4.83005 3.05 0.002 5.272965 24.23087 + 711 | 19.46563 5.623186 3.46 0.001 8.430146 30.50111 + 798 | 19.16161 11.00342 1.74 0.082 -2.432558 40.75578 + 799 | 3.574501 7.461818 0.48 0.632 -11.06929 18.21829 + 800 | 3.856677 5.499838 0.70 0.483 -6.936735 14.65009 + 801 | 1.59026 6.845203 0.23 0.816 -11.84343 15.02395 + 802 | 7.958502 5.276749 1.51 0.132 -2.397099 18.3141 + 803 | 2.805962 4.58908 0.61 0.541 -6.200089 11.81201 + 805 | -5.463556 7.721138 -0.71 0.479 -20.61626 9.689149 + 806 | 11.68506 5.289533 2.21 0.027 1.304371 22.06575 + 807 | 22.2492 5.692352 3.91 0.000 11.07798 33.42042 + 898 | 29.88957 13.7602 2.17 0.030 2.885226 56.89391 + 899 | -13.99018 9.785261 -1.43 0.153 -33.19372 5.213355 + 1000 | 9.206903 6.562576 1.40 0.161 -3.672129 22.08593 + 1001 | 27.76643 5.626497 4.93 0.000 16.72445 38.80841 + 1002 | 20.24032 5.629269 3.60 0.000 9.192902 31.28774 + 1003 | 10.43814 5.048662 2.07 0.039 .5301553 20.34612 + 1005 | 4.093449 8.446624 0.48 0.628 -12.48302 20.66992 + 1006 | 21.16413 6.176651 3.43 0.001 9.042474 33.28578 + 1007 | 15.52795 4.728502 3.28 0.001 6.248285 24.80762 + 1010 | 20.42636 8.866028 2.30 0.021 3.026815 37.82591 + 1098 | 13.40728 6.817388 1.97 0.050 .0281777 26.78637 + 1099 | -9.143877 4.627398 -1.98 0.048 -18.22513 -.0626256 + 1200 | 6.184609 5.688086 1.09 0.277 -4.97824 17.34746 + 1201 | 13.14017 5.508789 2.39 0.017 2.329193 23.95115 + 1202 | 11.03475 5.819288 1.90 0.058 -.3855808 22.45508 + 1203 | 5.849856 5.060023 1.16 0.248 -4.080421 15.78013 + 1204 | 10.06881 4.419385 2.28 0.023 1.395783 18.74184 + 1205 | 9.142656 5.041916 1.81 0.070 -.7520852 19.0374 + 1206 | 12.81278 5.129576 2.50 0.013 2.746003 22.87955 + 1207 | 14.89132 5.679722 2.62 0.009 3.744885 26.03775 + 1208 | 21.84379 4.973798 4.39 0.000 12.08273 31.60485 + 1209 | 18.75045 4.861413 3.86 0.000 9.209944 28.29095 + 1210 | 8.198758 4.767845 1.72 0.086 -1.15812 17.55564 + 1211 | 14.71836 5.532155 2.66 0.008 3.861526 25.57519 + 1299 | 27.97504 5.654994 4.95 0.000 16.87714 39.07294 + 1300 | 10.07666 7.421009 1.36 0.175 -4.487044 24.64036 + 1301 | 29.76368 5.639356 5.28 0.000 18.69647 40.8309 + 1302 | -4.858484 7.261144 -0.67 0.504 -19.10845 9.391485 + 1303 | 15.24064 8.39436 1.82 0.070 -1.233261 31.71454 + 1304 | 14.68558 5.636703 2.61 0.009 3.623574 25.74759 + 1305 | 18.88643 6.347362 2.98 0.003 6.429753 31.3431 + 1399 | 5.597918 10.98792 0.51 0.611 -15.96584 27.16168 + 1400 | 5.640431 7.111563 0.79 0.428 -8.315984 19.59685 + 1401 | 22.56643 6.752855 3.34 0.001 9.313972 35.81888 + 1403 | 15.82934 9.816684 1.61 0.107 -3.435866 35.09455 + 1404 | 2.14871 9.749947 0.22 0.826 -16.98552 21.28294 + 1405 | 32.14065 11.21761 2.87 0.004 10.12613 54.15518 + 1406 | 8.661963 6.336572 1.37 0.172 -3.773536 21.09746 + 1407 | 31.91784 7.46136 4.28 0.000 17.27495 46.56073 + 1408 | 15.15504 12.5701 1.21 0.228 -9.513745 39.82382 + 1409 | 15.80008 9.340716 1.69 0.091 -2.531042 34.1312 + 1410 | 17.56612 5.070269 3.46 0.001 7.615736 27.5165 + 1499 | 16.18225 9.189549 1.76 0.079 -1.852205 34.2167 + 1500 | 5.695786 6.788106 0.84 0.402 -7.625847 19.01742 + 1501 | 13.94687 5.238263 2.66 0.008 3.666795 24.22694 + 1502 | 9.847394 4.64536 2.12 0.034 .7308912 18.9639 + 1504 | 12.83163 5.147945 2.49 0.013 2.728804 22.93445 + 1505 | 21.66513 5.029288 4.31 0.000 11.79517 31.53509 + 1507 | 14.59841 5.309691 2.75 0.006 4.178158 25.01866 + 1520 | 10.50925 5.081637 2.07 0.039 .536556 20.48194 + 1521 | 12.82275 4.739116 2.71 0.007 3.522252 22.12324 + 1522 | 25.42049 5.730033 4.44 0.000 14.17532 36.66566 + 1523 | 13.06142 4.934986 2.65 0.008 3.376527 22.74631 + 1524 | 15.81067 8.413477 1.88 0.061 -.7007523 32.32208 + 1525 | 7.577863 5.377832 1.41 0.159 -2.976111 18.13184 + 1526 | 17.09601 5.259272 3.25 0.001 6.774704 27.41731 + 1599 | 21.43324 7.565241 2.83 0.005 6.586485 36.28 + 1600 | 12.8476 5.256827 2.44 0.015 2.5311 23.16411 + 1602 | 9.797103 10.61941 0.92 0.356 -11.04346 30.63766 + 1603 | 9.961687 5.384357 1.85 0.065 -.6050933 20.52847 + 1604 | 16.17654 7.738894 2.09 0.037 .9889936 31.3641 + 1605 | 14.36373 9.78492 1.47 0.142 -4.839144 33.5666 + 1606 | 26.39277 6.748105 3.91 0.000 13.14964 39.6359 + 1608 | 14.9128 5.0647 2.94 0.003 4.973341 24.85225 + 1609 | 24.94493 4.784283 5.21 0.000 15.55579 34.33406 + 1610 | 5.524248 8.202236 0.67 0.501 -10.57261 21.6211 + 1611 | 13.91571 6.262891 2.22 0.027 1.62481 26.20661 + 1612 | 15.65891 6.011886 2.60 0.009 3.860605 27.45721 + 1614 | -14.69508 13.38517 -1.10 0.273 -40.96343 11.57326 + 1615 | 14.01203 6.164068 2.27 0.023 1.915075 26.10899 + 1616 | 1.990933 6.016787 0.33 0.741 -9.81699 13.79886 + 1617 | 12.98327 7.581977 1.71 0.087 -1.896328 27.86287 + 1619 | -1.61537 4.973371 -0.32 0.745 -11.37559 8.144853 + 1620 | 11.3502 8.457769 1.34 0.180 -5.24814 27.94854 + 1698 | 11.22669 8.969525 1.25 0.211 -6.375967 28.82935 + 1699 | 21.83019 5.308459 4.11 0.000 11.41236 32.24803 + 1700 | 2.124477 7.808671 0.27 0.786 -13.20001 17.44897 + 1701 | 20.09793 8.141438 2.47 0.014 4.120389 36.07547 + 1704 | 13.32968 7.800747 1.71 0.088 -1.979253 28.63862 + 1705 | 7.384625 13.77374 0.54 0.592 -19.64628 34.41553 + 1706 | 13.63464 5.027823 2.71 0.007 3.76756 23.50173 + 1707 | 3.535462 7.866862 0.45 0.653 -11.90323 18.97415 + 1708 | 16.74754 6.477181 2.59 0.010 4.036092 29.45898 + 1709 | 29.94566 8.045618 3.72 0.000 14.15617 45.73516 + 1798 | 21.08338 6.147318 3.43 0.001 9.019292 33.14747 + 1799 | 7.368077 12.21752 0.60 0.547 -16.60877 31.34492 + 1800 | 12.65132 5.463721 2.32 0.021 1.928789 23.37385 + 1802 | 21.49721 6.48898 3.31 0.001 8.762612 34.23181 + 1803 | 16.45819 6.549984 2.51 0.012 3.603869 29.31251 + 1804 | 15.89418 5.934829 2.68 0.008 4.247098 27.54126 + 1806 | -.0106855 5.450162 -0.00 0.998 -10.70661 10.68524 + 1807 | -3.241997 4.296163 -0.75 0.451 -11.6732 5.189207 + 1808 | -1.675763 4.734351 -0.35 0.723 -10.96691 7.615383 + 1899 | -17.32281 4.274691 -4.05 0.000 -25.71188 -8.933747 + 1900 | 8.157817 5.197767 1.57 0.117 -2.042781 18.35842 + 1901 | 7.511242 5.336947 1.41 0.160 -2.962497 17.98498 + 1902 | 22.63726 7.07233 3.20 0.001 8.757838 36.51668 + 1905 | 16.47371 10.61331 1.55 0.121 -4.354873 37.3023 + 1906 | 18.88416 6.765014 2.79 0.005 5.607841 32.16047 + 1907 | 20.4458 6.048031 3.38 0.001 8.576562 32.31504 + 1908 | 14.09448 11.12519 1.27 0.206 -7.738667 35.92762 + 1909 | 39.0071 7.590986 5.14 0.000 24.10982 53.90438 + 1910 | 17.96625 12.43903 1.44 0.149 -6.44529 42.3778 + 1911 | 21.32017 11.74524 1.82 0.070 -1.729812 44.37016 + 1912 | -6.844142 4.457822 -1.54 0.125 -15.5926 1.904318 + 1914 | 2.853943 6.510388 0.44 0.661 -9.92267 15.63055 + 1915 | 10.79567 11.59525 0.93 0.352 -11.95997 33.5513 + 1919 | 14.02822 5.77416 2.43 0.015 2.696452 25.35999 + 1920 | 8.232787 5.141851 1.60 0.110 -1.858077 18.32365 + 1925 | 26.25873 5.86686 4.48 0.000 14.74504 37.77242 + 1926 | 1.588411 5.510292 0.29 0.773 -9.225517 12.40234 + 1927 | 3.49175 5.427628 0.64 0.520 -7.159949 14.14345 + 1929 | 5.415649 5.554602 0.97 0.330 -5.485237 16.31653 + 1999 | 19.50454 19.44914 1.00 0.316 -18.66433 57.6734 + 2000 | 4.849394 4.811284 1.01 0.314 -4.592732 14.29152 + 2001 | 7.120089 5.770187 1.23 0.218 -4.203882 18.44406 + 2002 | 7.926291 4.62639 1.71 0.087 -1.152981 17.00556 + 2003 | 17.0791 5.187198 3.29 0.001 6.899244 27.25896 + 2004 | 14.57222 4.693595 3.10 0.002 5.361054 23.78338 + 2005 | 2.341721 6.221994 0.38 0.707 -9.868919 14.55236 + 2006 | 32.2149 4.91428 6.56 0.000 22.57065 41.85916 + 2007 | 8.986694 7.097219 1.27 0.206 -4.941571 22.91496 + 2008 | 22.34638 4.47571 4.99 0.000 13.56282 31.12995 + 2009 | 6.659576 8.469529 0.79 0.432 -9.961843 23.28099 + 2011 | .3891595 4.293036 0.09 0.928 -8.035908 8.814227 + 2012 | -1.760057 4.38145 -0.40 0.688 -10.35864 6.838522 + 2013 | 20.76461 7.534395 2.76 0.006 5.978387 35.55083 + 2014 | 5.249395 6.387952 0.82 0.411 -7.286937 17.78573 + 2015 | 15.06238 7.057727 2.13 0.033 1.21162 28.91314 + 2030 | 8.411329 5.827464 1.44 0.149 -3.025047 19.84771 + 2099 | 10.73512 5.872781 1.83 0.068 -.7901902 22.26043 + 2100 | 3.454841 5.030753 0.69 0.492 -6.417992 13.32767 + 2101 | 21.07527 4.472604 4.71 0.000 12.29781 29.85274 + 2102 | 13.82205 4.83899 2.86 0.004 4.325552 23.31855 + 2103 | 6.089726 4.672529 1.30 0.193 -3.080095 15.25955 + 2104 | 7.229121 5.004943 1.44 0.149 -2.59306 17.0513 + 2105 | 22.01601 6.032627 3.65 0.000 10.177 33.85501 + 2199 | -14.05762 5.146469 -2.73 0.006 -24.15755 -3.957697 + 9999 | 3.726047 5.852865 0.64 0.525 -7.760178 15.21227 + | + house_administration | -1.27876 2.076304 -0.62 0.538 -5.353499 2.795979 + house_agriculture | -2.583106 1.960535 -1.32 0.188 -6.430649 1.264436 + house_appropriations | -14.87118 2.221849 -6.69 0.000 -19.23155 -10.51081 + house_armedservices | -1.105862 1.911829 -0.58 0.563 -4.85782 2.646096 + house_budget | -2.937422 1.865399 -1.57 0.116 -6.59826 .7234158 + house_dc | 6.565513 7.830189 0.84 0.402 -8.801203 21.93223 + house_educlabor | 1.350943 2.777476 0.49 0.627 -4.099844 6.80173 + house_energycommerce | 7.516778 1.474986 5.10 0.000 4.622124 10.41143 + house_foreignaffairs | 1.291041 3.335715 0.39 0.699 -5.255286 7.837369 + house_governmentop | 1.791067 2.329884 0.77 0.442 -2.781321 6.363456 + house_intelligence | -14.02676 2.712539 -5.17 0.000 -19.35011 -8.70341 + house_interior | .6274691 2.765876 0.23 0.821 -4.800553 6.055491 + house_judiciary | -3.873879 1.037749 -3.73 0.000 -5.910458 -1.8373 + house_mmf | 4.58195 3.946347 1.16 0.246 -3.162741 12.32664 + house_pocs | -1.744302 2.469122 -0.71 0.480 -6.589944 3.101341 + house_pwt | -1.684254 2.780889 -0.61 0.545 -7.141737 3.77323 + house_rules | -5.399243 1.476167 -3.66 0.000 -8.296216 -2.502269 + house_sst | -3.457578 5.60487 -0.62 0.537 -14.45711 7.541959 + house_smallbusi | .181737 3.994306 0.05 0.964 -7.657073 8.020547 + house_soc | 6.890548 3.465565 1.99 0.047 .0893899 13.69171 + house_veterans | .9259594 2.228234 0.42 0.678 -3.446942 5.29886 + house_waysandmeans | -2.599452 1.358639 -1.91 0.056 -5.265775 .0668718 +house_naturalresources | .8711433 2.27408 0.38 0.702 -3.591731 5.334018 + house_bfs | -3.465689 1.677133 -2.07 0.039 -6.757057 -.174322 + house_eeo | -4.210848 3.301521 -1.28 0.202 -10.69007 2.268375 + house_govreform | .4296735 1.961361 0.22 0.827 -3.419489 4.278836 + house_ir | 7.732347 2.190549 3.53 0.000 3.433403 12.03129 + house_natsecur | -3.056563 2.773561 -1.10 0.271 -8.499666 2.386541 + house_oversight | 2.344671 2.454369 0.96 0.340 -2.472019 7.161362 + house_resources | -7.69092 1.758413 -4.37 0.000 -11.1418 -4.240041 + house_science | 2.564183 2.075849 1.24 0.217 -1.509662 6.638029 + house_transp | 4.616269 2.063577 2.24 0.026 .5665058 8.666031 + house_homeland | -2.531653 1.815436 -1.39 0.163 -6.094439 1.031133 + _cons | 8.511046 4.317934 1.97 0.049 .0371161 16.98498 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 939 1 0 1 1 +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(62,331 observations deleted) +(16 missing values generated) +(2 real changes made) +(2 real changes made) +(16 missing values generated) +(2 real changes made) +(2 real changes made) +(17 missing values generated) +(1 real change made) +(1 real change made) +(15 missing values generated) +(3 real changes made) +(1 real change made) +(15 missing values generated) +(2 real changes made) +(1 real change made) +(5 real changes made) +(5 real changes made) +(5 real changes made) +file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/Table9_pct_cosponsors_opposite_T1.xls saved + +. +. log close + name: + log: /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Log/Table9.log + log type: text + closed on: 8 Jul 2021, 12:36:26 +--------------------------------------------------------------------------------------------------------------------------------------------------------------------- diff --git a/30/replication_package/Log/TableD1.log b/30/replication_package/Log/TableD1.log new file mode 100644 index 0000000000000000000000000000000000000000..0ecb369d2c9de1fd55f244914943d1ff5d882b27 --- /dev/null +++ b/30/replication_package/Log/TableD1.log @@ -0,0 +1,3182 @@ +--------------------------------------------------------------------------------------------------------------------------------------------------------------------- + name: + log: /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Log/TableD1.log + log type: text + opened on: 12 Jul 2021, 18:50:42 + +. +. use "$AnalysisData/cosponsors_analysis_101-111_replication.dta", clear +(Individual-level data set. Each observation is an individual congress member.) + +. gen byte tag_cosponsor=1 + +. +. gen byte cosponsor_democrat = cosponsor_party==100 if cosponsor_party~=. +(13 missing values generated) + +. +. gen byte cosponsor_region_NE = cosponsor_state_icpsr>=1 & cosponsor_state_icpsr<=14 if cosponsor_state_icpsr~=. +(5 missing values generated) + +. gen byte cosponsor_region_MW = cosponsor_state_icpsr>=21 & cosponsor_state_icpsr<=37 if cosponsor_state_icpsr~=. +(5 missing values generated) + +. gen byte cosponsor_region_SO = cosponsor_state_icpsr>=40 & cosponsor_state_icpsr<=56 if cosponsor_state_icpsr~=. +(5 missing values generated) + +. gen byte cosponsor_region_WE = cosponsor_state_icpsr>=61 & cosponsor_state_icpsr<=82 if cosponsor_state_icpsr~=. +(5 missing values generated) + +. +. replace cosponsor_age=. if cosponsor_age>100 +(1 real change made, 1 to missing) + +. gen cosponsor_rookie=(cosponsor_tenure_run==1) if cosponsor_tenure_run!=. +(5 missing values generated) + +. gen byte leader = (cosp_comc==1) | (cosp_comr==1) if cosp_comc~=. & cosp_comr~=. +(84 missing values generated) + +. +. egen tag_congressmen=tag(v2 cosponsor_state_abbrev cosponsor_district cosponsor_term_served) + +. +. gen lnpden=cosp_lnpop-cosp_lnarea +(1 missing value generated) + +. gen absMV=abs(cosp_MV1_democrat) +(416 missing values generated) + +. +. cap drop pctbills_cosponsored_opp + +. gen pctbills_cosponsored_opp=100*nbills_cosponsored_opp/(nbills_cosponsored+1) + +. replace pctbills_cosponsored_opp=. if pctbills_cosponsored_opp>100 +(0 real changes made) + +. +. gen int decade = 1980 if v2<=102 +(3,987 missing values generated) + +. replace decade=1990 if v2>=103 & v2<=107 +(2,219 real changes made) + +. replace decade=2000 if v2>=108 +(1,768 real changes made) + +. +. egen district_id = group(decade cosponsor_state_abbrev cosponsor_district) + +. +. foreach name in "democrat" "tenure_run" "age" "rookie" "region_NE" "region_MW" "region_WE" { + 2. ren cosponsor_`name' cosp_`name' + 3. } + +. foreach name in "democrat" "tenure_run" "age" "rookie" "comc" "comr" "borninstate" /* +> */ "ivycoll" "black" "occ0" "occ1" "occ2" "occ3" "occ4" "region_NE" "region_MW" "region_WE" /* +> */ "pct_b" "pct_u" "pct_f" "pct_a" "lnpop" "lninc" "lnarea" { + 2. ren cosp_`name' `name' + 3. } + +. +. local cosp_controls1 = "i.v2 " + +. local cosp_controls2 = "i.v2 cosp_MV1_female femaleXcosp_MV1_female " + +. local cosp_controls3 = "i.v2 cosp_MV1_female femaleXcosp_MV1_female " + +. local cosp_controls4 = "i.v2 " + +. local cosp_controls5 = "i.v2 " + +. +. local cosp_other_controls = "house_* democrat rookie tenure_run age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate region_NE region_MW region_WE pct_b p +> ct_u pct_f pct_a lninc lnpden" + +. local cosp_billchars = "house_*" + +. local cosp_indivchars = "democrat rookie tenure_run age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate" + +. local cosp_districtchars = "region_NE region_MW region_WE pct_b pct_u pct_f pct_a lninc lnpden" + +. +. local cosp_if1 = "if tag_cosponsor==1" + +. local cosp_if2 = "if cosponsor_party==100 & tag_cosponsor==1" + +. local cosp_if3 = "if cosponsor_party==200 & tag_cosponsor==1" + +. +. foreach depvar of varlist nbills_cosponsored pctbills_cosponsored_opp { + 2. forvalues j=1/5 { + 3. forvalues k = 1/3 { + 4. qui reg `depvar' cosponsor_female `cosp_controls2' `cosp_other_controls' `cosp_if`k'' & cosp_mixed_gender_election==1, robust cluster(cosponsor_v1_ +> fix) + 5. qui gen sample=e(sample) + 6. +. di "" + 7. di "" + 8. di "j = ", `j', "k = ", `k' + 9. di "" + 10. di "" + 11. +. di "rdbwselect_2014 `depvar' cosp_MV1_female `cosp_if`k'', c(0) kernel(uniform)" + 12. rdbwselect_2014 `depvar' cosp_MV1_female `cosp_if`k'', c(0) kernel(uniform) + 13. local band = e(h_CCT) + 14. +. if `j'==1 { + 15. di "reg `depvar' cosponsor_female `cosp_controls`j'' `cosp_other_controls' `cosp_if`k'', robust cluster(cosponsor_v1_fix)" + 16. reg `depvar' cosponsor_female `cosp_controls`j'' `cosp_other_controls' `cosp_if`k'', robust cluster(cosponsor_v1_fix) + 17. } + 18. else if `j'==2 { + 19. di "reg `depvar' cosponsor_female `controls`j'' `cosp_if`k'' & sample==1 & abs(cosp_MV1_female)<=`band', robust cluster(cosponsor_v1_fix)" + 20. reg `depvar' cosponsor_female `cosp_controls`j'' `cosp_if`k'' & sample==1 & abs(cosp_MV1_female)<=`band', robust cluster(cosponsor_v1_fix) + 21. } + 22. else if `j'==3 { + 23. qui probit cosponsor_female i.v2 `cosp_districtchars' `cosp_if`k'' & tag_cosponsor==1 & abs(cosp_MV1_female)<=`band' + 24. predict pscore if sample==1 + 25. gen wt = 1/pscore if cosponsor_female==1 + 26. replace wt =1/(1-pscore) if cosponsor_female==0 + 27. di "reg `depvar' cosponsor_female `cosp_controls`j'' [aw=wt] `cosp_if`k'' & sample==1 & abs(cosp_MV1_female)<=`band', robust cluster(cosponsor_v +> 1_fix)" + 28. reg `depvar' cosponsor_female `cosp_controls`j'' `cosp_billchars' [aw=wt] `cosp_if`k'' & sample==1 & abs(cosp_MV1_female)<=`band', robust cluster(c +> osponsor_v1_fix) + 29. drop pscore wt + 30. } + 31. else if `j'==4 { + 32. qui probit cosponsor_female i.v2 `cosp_districtchars' absMV `cosp_if`k'' & tag_cosponsor==1 + 33. predict pscore + 34. gen wt = 1/pscore if cosponsor_female==1 + 35. replace wt =1/(1-pscore) if cosponsor_female==0 + 36. di "reg `depvar' cosponsor_female `cosp_controls`j'' [aw=wt] `cosp_if`k'', robust cluster(cosponsor_v1_fix)" + 37. reg `depvar' cosponsor_female `cosp_controls`j'' `cosp_billchars' [aw=wt] `cosp_if`k'', robust cluster(cosponsor_v1_fix) + 38. drop pscore wt + 39. } + 40. else if `j'==5 { + 41. qui probit cosponsor_female i.v2 `cosp_districtchars' `cosp_indivchars' absMV `cosp_if`k'' & tag_cosponsor==1 + 42. predict pscore + 43. gen wt = 1/pscore if cosponsor_female==1 + 44. replace wt =1/(1-pscore) if cosponsor_female==0 + 45. di "reg `depvar' cosponsor_female `cosp_controls`j'' [aw=wt] `cosp_if`k'', robust cluster(cosponsor_v1_fix)" + 46. reg `depvar' cosponsor_female `cosp_controls`j'' `cosp_billchars' [aw=wt] `cosp_if`k'', robust cluster(cosponsor_v1_fix) + 47. drop pscore wt + 48. } + 49. +. if `j'~=2 & `j'~=3{ + 50. scalar b_col`j'_row`k' = _b[cosponsor_female] + 51. scalar se_col`j'_row`k' = _se[cosponsor_female] + 52. scalar n_col`j'_row`k' = e(N) + 53. sum tag_congressmen if tag_congressmen==1 & e(sample) + 54. scalar ni_col`j'_row`k' = e(N_clust) + 55. scalar ob_col`j'_row`k' = . + 56. } + 57. if `j'==2 | `j'==3 { + 58. scalar b_col`j'_row`k' = _b[cosponsor_female] + 59. scalar se_col`j'_row`k' = _se[cosponsor_female] + 60. scalar n_col`j'_row`k' = e(N) + 61. sum tag_congressmen if tag_congressmen==1 & e(sample) + 62. scalar ni_col`j'_row`k' = e(N_clust) + 63. scalar ob_col`j'_row`k' = round(`band') + 64. } + 65. +. drop sample + 66. +. } + 67. } + 68. +. preserve + 69. +. * Display results +. +. forvalues i = 1/5 { + 70. gen var`i' =. + 71. } + 72. gen str20 var6 = "" + 73. +. forvalues j=1/5 { + 74. forvalues k = 1/3 { + 75. replace var`j' = b_col`j'_row`k' if _n==6*(`k'-1)+1 + 76. replace var`j' = se_col`j'_row`k' if _n==6*(`k'-1)+2 + 77. replace var`j' = n_col`j'_row`k' if _n==6*(`k'-1)+3 + 78. replace var`j' = ni_col`j'_row`k' if _n==6*(`k'-1)+4 + 79. replace var`j' = ob_col`j'_row`k' if _n==6*(`k'-1)+5 + 80. } + 81. } + 82. +. keep var1-var6 + 83. keep if _n<=18 + 84. +. order var6 var1-var5 + 85. +. ren var6 sampletype + 86. ren var1 OLS_all + 87. ren var2 RD_bwidth + 88. ren var3 RD_match_bw + 89. ren var4 PS_match + 90. ren var5 PS_match_indiv + 91. +. foreach var of varlist OLS_all RD_bwidth RD_match_bw PS_match PS_match_indiv { + 92. gen str3 `var'_stars ="*" if abs(`var'/`var'[_n+1])>=1.645 & mod(_n,6)==1 + 93. replace `var'_stars ="**" if abs(`var'/`var'[_n+1])>=1.96 & mod(_n,6)==1 + 94. replace `var'_stars="***" if abs(`var'/`var'[_n+1])>=2.58 & mod(_n,6)==1 + 95. } + 96. +. replace sampletype = "All" if _n>=1 & _n<=5 + 97. replace sampletype = "Democrats" if _n>=7 & _n<=11 + 98. replace sampletype = "Republicans" if _n>=13 & _n<=17 + 99. +. order sampletype OLS_all OLS_all_stars RD_bwidth RD_bwidth_stars RD_match_bw RD_match_bw_stars PS_match PS_match_stars PS_match_indiv PS_match_indiv_stars +100. export excel using "$Output/TableD1_ReactiveCooperativeness_RDIPW_`depvar'.xlsx", firstrow(var) replace +101. restore +102. +. } + + +j = 1 k = 1 + + +rdbwselect_2014 nbills_cosponsored cosp_MV1_female if tag_cosponsor==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 907 +----------------------+---------------------- NN matches = 3 + Number of obs | 507 400 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of cosp_MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 13.89742 27.36987 .5077634 +---------------------------------------------- +reg nbills_cosponsored cosponsor_female i.v2 house_* democrat rookie tenure_run age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate region_NE region_MW re +> gion_WE pct_b pct_u pct_f pct_a lninc lnpden if tag_cosponsor==1, robust cluster(cosponsor_v1_fix) + +Linear regression Number of obs = 4,747 + F(66, 1080) = 26.51 + Prob > F = 0.0000 + R-squared = 0.4326 + Root MSE = 86.3 + + (Std. Err. adjusted for 1,081 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust + nbills_cosponsored | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | 6.984743 8.379624 0.83 0.405 -9.457444 23.42693 + | + v2 | + 102 | -47.43209 7.457664 -6.36 0.000 -62.06524 -32.79894 + 103 | -68.23065 14.97918 -4.56 0.000 -97.62225 -38.83906 + 104 | -20.84942 26.00942 -0.80 0.423 -71.88414 30.18531 + 105 | -43.47567 26.63855 -1.63 0.103 -95.74485 8.793502 + 106 | -26.53517 25.07877 -1.06 0.290 -75.74381 22.67347 + 107 | -33.10889 25.23024 -1.31 0.190 -82.61473 16.39696 + 108 | 49.32891 45.6145 1.08 0.280 -40.17418 138.832 + 109 | 39.10101 46.23344 0.85 0.398 -51.61652 129.8185 + 110 | 96.31458 47.3739 2.03 0.042 3.359273 189.2699 + 111 | 90.84448 47.1071 1.93 0.054 -1.587327 183.2763 + | + house_administration_m | -148.4673 83.55245 -1.78 0.076 -312.4108 15.47621 + house_agriculture_m | -11.71935 65.70579 -0.18 0.858 -140.6448 117.2061 + house_appropriations_m | 279.1126 46.63178 5.99 0.000 187.6135 370.6118 + house_armedservices_m | 119.7165 81.8844 1.46 0.144 -40.95405 280.387 + house_budget_m | -136.9604 95.19863 -1.44 0.151 -323.7556 49.83486 + house_dc_m | -219.668 608.6204 -0.36 0.718 -1413.881 974.5444 + house_educlabor_m | 275.7316 76.38736 3.61 0.000 125.8471 425.616 + house_energycommerce_m | 152.5809 37.81046 4.04 0.000 78.39066 226.7712 + house_foreignaffairs_m | 512.1777 90.26722 5.67 0.000 335.0587 689.2967 + house_governmentop_m | 554.1823 107.136 5.17 0.000 343.9639 764.4007 + house_intelligence_m | -1007.965 256.7576 -3.93 0.000 -1511.765 -504.1644 + house_interior_m | -235.4824 126.62 -1.86 0.063 -483.9314 12.96655 + house_judiciary_m | 66.95477 40.73022 1.64 0.100 -12.96456 146.8741 + house_mmf_m | 170.989 82.15073 2.08 0.038 9.795877 332.1821 + house_pocs_m | -410.5121 107.0017 -3.84 0.000 -620.4668 -200.5573 + house_pwt_m | -319.8421 98.61316 -3.24 0.001 -513.3372 -126.3471 + house_rules_m | -288.5658 107.8714 -2.68 0.008 -500.227 -76.90464 + house_sst_m | -305.9311 168.2669 -1.82 0.069 -636.0982 24.23607 + house_smallbusi_m | 821.4125 282.0093 2.91 0.004 268.0643 1374.761 + house_soc_m | -810.7311 565.4333 -1.43 0.152 -1920.203 298.7412 + house_veterans_m | 222.0186 76.01011 2.92 0.004 72.87438 371.1628 + house_waysandmeans_m | -37.04411 32.43814 -1.14 0.254 -100.693 26.60482 +house_naturalresources_m | -434.8113 101.7024 -4.28 0.000 -634.368 -235.2547 + house_bfs_m | -806.0298 52.61536 -15.32 0.000 -909.2697 -702.7899 + house_eeo_m | 5.885813 69.65319 0.08 0.933 -130.7851 142.5567 + house_govreform_m | -63.20802 56.39381 -1.12 0.263 -173.8619 47.44582 + house_ir_m | 375.3141 88.78356 4.23 0.000 201.1063 549.522 + house_natsecur_m | -148.3094 90.66666 -1.64 0.102 -326.2121 29.59338 + house_oversight_m | -322.929 86.43834 -3.74 0.000 -492.5351 -153.3229 + house_resources_m | -254.6979 66.2184 -3.85 0.000 -384.6292 -124.7666 + house_science_m | 314.3139 133.3688 2.36 0.019 52.62266 576.0052 + house_transp_m | -383.9974 74.0349 -5.19 0.000 -529.2659 -238.7289 + house_homeland_m | -193.7426 153.3844 -1.26 0.207 -494.7077 107.2226 + democrat | 34.72584 6.510035 5.33 0.000 21.95209 47.49959 + rookie | -28.14516 4.409554 -6.38 0.000 -36.79742 -19.49289 + tenure_run | -2.545299 1.010072 -2.52 0.012 -4.527225 -.5633729 + age | .5460557 .2821244 1.94 0.053 -.0075184 1.09963 + leader | -3.697749 7.623849 -0.49 0.628 -18.65698 11.26149 + ivycoll | -1.670475 11.65913 -0.14 0.886 -24.54758 21.20663 + black | 44.88165 16.42301 2.73 0.006 12.65702 77.10627 + occ0 | -3.803149 9.556168 -0.40 0.691 -22.55391 14.94761 + occ1 | -5.882859 10.63538 -0.55 0.580 -26.7512 14.98548 + occ2 | -17.48342 8.206701 -2.13 0.033 -33.5863 -1.380536 + occ3 | -9.775566 10.65291 -0.92 0.359 -30.67832 11.12719 + occ4 | -11.00431 8.205521 -1.34 0.180 -27.10488 5.096255 + borninstate | -7.87535 5.745045 -1.37 0.171 -19.14807 3.397365 + region_NE | 33.60348 8.020738 4.19 0.000 17.86549 49.34148 + region_MW | 9.626631 6.673097 1.44 0.149 -3.467072 22.72033 + region_WE | 21.13025 8.688002 2.43 0.015 4.08297 38.17752 + pct_b | 24.71326 28.95638 0.85 0.394 -32.10386 81.53039 + pct_u | -15.35398 15.58453 -0.99 0.325 -45.93337 15.22541 + pct_f | 85.2649 40.89263 2.09 0.037 5.026886 165.5029 + pct_a | -34.89668 71.4618 -0.49 0.625 -175.1164 105.323 + lninc | 30.73705 15.37491 2.00 0.046 .5689655 60.90513 + lnpden | 2.406128 2.4914 0.97 0.334 -2.482404 7.294661 + _cons | -91.14234 160.6392 -0.57 0.571 -406.3427 224.058 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,747 1 0 1 1 + + +j = 1 k = 2 + + +rdbwselect_2014 nbills_cosponsored cosp_MV1_female if cosponsor_party==100 & tag_cosponsor==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 449 +----------------------+---------------------- NN matches = 3 + Number of obs | 179 270 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of cosp_MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 16.89021 31.25053 .5404774 +---------------------------------------------- +reg nbills_cosponsored cosponsor_female i.v2 house_* democrat rookie tenure_run age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate region_NE region_MW re +> gion_WE pct_b pct_u pct_f pct_a lninc lnpden if cosponsor_party==100 & tag_cosponsor==1, robust cluster(cosponsor_v1_fix) +note: democrat omitted because of collinearity + +Linear regression Number of obs = 2,495 + F(65, 581) = 23.71 + Prob > F = 0.0000 + R-squared = 0.4665 + Root MSE = 96.28 + + (Std. Err. adjusted for 582 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust + nbills_cosponsored | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | 5.546681 10.8081 0.51 0.608 -15.68103 26.77439 + | + v2 | + 102 | -39.59621 11.10884 -3.56 0.000 -61.4146 -17.77782 + 103 | -38.12923 23.21189 -1.64 0.101 -83.71868 7.460218 + 104 | 54.18362 39.86032 1.36 0.175 -24.10425 132.4715 + 105 | 16.17079 39.69639 0.41 0.684 -61.79513 94.13671 + 106 | 40.01872 37.39107 1.07 0.285 -33.41941 113.4569 + 107 | 55.23976 37.89572 1.46 0.145 -19.18954 129.6691 + 108 | 91.76769 72.05688 1.27 0.203 -49.75602 233.2914 + 109 | 90.59991 73.08106 1.24 0.216 -52.93534 234.1352 + 110 | 151.1532 73.3085 2.06 0.040 7.17128 295.1352 + 111 | 132.8403 74.13274 1.79 0.074 -12.76052 278.4411 + | + house_administration_m | -373.4497 138.2203 -2.70 0.007 -644.922 -101.9773 + house_agriculture_m | -148.1273 107.5527 -1.38 0.169 -359.3666 63.1121 + house_appropriations_m | 166.6079 207.1708 0.80 0.422 -240.287 573.5029 + house_armedservices_m | 29.71881 137.0284 0.22 0.828 -239.4125 298.8501 + house_budget_m | -543.0625 201.7927 -2.69 0.007 -939.3945 -146.7304 + house_dc_m | -1481.868 821.5816 -1.80 0.072 -3095.5 131.764 + house_educlabor_m | 158.2641 105.6751 1.50 0.135 -49.28768 365.8158 + house_energycommerce_m | 137.5324 62.21478 2.21 0.027 15.33909 259.7256 + house_foreignaffairs_m | 438.2106 132.1786 3.32 0.001 178.6046 697.8166 + house_governmentop_m | 733.473 165.3152 4.44 0.000 408.7849 1058.161 + house_intelligence_m | -1716.679 407.6253 -4.21 0.000 -2517.277 -916.08 + house_interior_m | -21.41038 186.048 -0.12 0.908 -386.819 343.9982 + house_judiciary_m | 102.9083 69.26172 1.49 0.138 -33.12556 238.9422 + house_mmf_m | 81.79994 132.221 0.62 0.536 -177.8895 341.4894 + house_pocs_m | -248.4089 157.0244 -1.58 0.114 -556.8135 59.99572 + house_pwt_m | -465.2059 143.7511 -3.24 0.001 -747.541 -182.8708 + house_rules_m | -832.1037 168.803 -4.93 0.000 -1163.642 -500.5653 + house_sst_m | 70.08997 241.1847 0.29 0.771 -403.6101 543.7901 + house_smallbusi_m | 725.4066 377.1639 1.92 0.055 -15.36427 1466.178 + house_soc_m | -1810.908 864.2823 -2.10 0.037 -3508.406 -113.4091 + house_veterans_m | 132.5668 99.59108 1.33 0.184 -63.03556 328.1692 + house_waysandmeans_m | -111.2989 53.47323 -2.08 0.038 -216.3233 -6.274497 +house_naturalresources_m | -564.2896 156.9846 -3.59 0.000 -872.6161 -255.9631 + house_bfs_m | -974.8566 81.66053 -11.94 0.000 -1135.242 -814.4708 + house_eeo_m | -419.7142 122.7512 -3.42 0.001 -660.8044 -178.6239 + house_govreform_m | -189.6795 123.6451 -1.53 0.126 -432.5253 53.16636 + house_ir_m | 396.6273 143.9724 2.75 0.006 113.8576 679.397 + house_natsecur_m | -231.5551 139.9778 -1.65 0.099 -506.4794 43.36913 + house_oversight_m | -586.475 132.7539 -4.42 0.000 -847.2111 -325.7389 + house_resources_m | -605.4661 158.9729 -3.81 0.000 -917.6977 -293.2344 + house_science_m | 127.5657 195.572 0.65 0.514 -256.5485 511.68 + house_transp_m | -406.059 128.396 -3.16 0.002 -658.2358 -153.8822 + house_homeland_m | -451.386 291.0204 -1.55 0.121 -1022.966 120.1942 + democrat | 0 (omitted) + rookie | -37.30237 7.272622 -5.13 0.000 -51.5862 -23.01853 + tenure_run | -2.355499 1.58091 -1.49 0.137 -5.460495 .7494964 + age | .3861574 .4542305 0.85 0.396 -.5059764 1.278291 + leader | 4.718252 12.89165 0.37 0.715 -20.60166 30.03816 + ivycoll | -14.71578 15.10594 -0.97 0.330 -44.38469 14.95312 + black | 39.90163 20.36948 1.96 0.051 -.1051524 79.90842 + occ0 | -8.63493 13.96211 -0.62 0.537 -36.05728 18.78742 + occ1 | -8.182868 15.61302 -0.52 0.600 -38.84771 22.48198 + occ2 | -29.1179 12.65957 -2.30 0.022 -53.98199 -4.253806 + occ3 | -20.47513 16.69296 -1.23 0.220 -53.26103 12.31077 + occ4 | -22.25742 15.19166 -1.47 0.143 -52.09468 7.579842 + borninstate | -10.56696 9.799955 -1.08 0.281 -29.81461 8.680697 + region_NE | 30.97238 12.39665 2.50 0.013 6.624668 55.32009 + region_MW | 19.82781 11.34545 1.75 0.081 -2.455272 42.1109 + region_WE | 18.40638 14.80123 1.24 0.214 -10.66405 47.47682 + pct_b | 39.00787 40.27173 0.97 0.333 -40.08805 118.1038 + pct_u | 12.40494 25.58342 0.48 0.628 -37.84231 62.6522 + pct_f | 124.9522 55.87085 2.24 0.026 15.21879 234.6857 + pct_a | -18.22868 118.6507 -0.15 0.878 -251.2653 214.8079 + lninc | 48.88288 20.26513 2.41 0.016 9.081037 88.68472 + lnpden | -.5714857 4.214575 -0.14 0.892 -8.849145 7.706174 + _cons | -166.5714 207.448 -0.80 0.422 -574.0108 240.868 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,495 1 0 1 1 + + +j = 1 k = 3 + + +rdbwselect_2014 nbills_cosponsored cosp_MV1_female if cosponsor_party==200 & tag_cosponsor==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 458 +----------------------+---------------------- NN matches = 3 + Number of obs | 328 130 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of cosp_MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 16.59159 28.05961 .5912979 +---------------------------------------------- +reg nbills_cosponsored cosponsor_female i.v2 house_* democrat rookie tenure_run age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate region_NE region_MW re +> gion_WE pct_b pct_u pct_f pct_a lninc lnpden if cosponsor_party==200 & tag_cosponsor==1, robust cluster(cosponsor_v1_fix) +note: democrat omitted because of collinearity + +Linear regression Number of obs = 2,243 + F(65, 509) = 12.61 + Prob > F = 0.0000 + R-squared = 0.3244 + Root MSE = 62.14 + + (Std. Err. adjusted for 510 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust + nbills_cosponsored | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | 10.00724 8.795016 1.14 0.256 -7.271759 27.28625 + | + v2 | + 102 | -14.14736 8.478128 -1.67 0.096 -30.80379 2.509074 + 103 | -9.410481 17.72362 -0.53 0.596 -44.23094 25.40998 + 104 | 9.295773 32.99758 0.28 0.778 -55.53245 74.124 + 105 | -22.99008 30.04018 -0.77 0.444 -82.00809 36.02792 + 106 | -28.48168 27.04976 -1.05 0.293 -81.62461 24.66124 + 107 | -57.74255 26.77262 -2.16 0.031 -110.341 -5.144115 + 108 | 10.67386 43.81754 0.24 0.808 -75.41164 96.75936 + 109 | 17.51662 44.96503 0.39 0.697 -70.82328 105.8565 + 110 | 62.341 47.86997 1.30 0.193 -31.70605 156.388 + 111 | 61.56568 47.73587 1.29 0.198 -32.2179 155.3493 + | + house_administration_m | -122.2722 105.9239 -1.15 0.249 -330.3741 85.82966 + house_agriculture_m | -146.2844 69.31825 -2.11 0.035 -282.4695 -10.0993 + house_appropriations_m | 134.3325 49.14 2.73 0.006 37.79026 230.8747 + house_armedservices_m | 52.25951 89.17652 0.59 0.558 -122.9398 227.4589 + house_budget_m | -278.0399 94.59377 -2.94 0.003 -463.8822 -92.19764 + house_dc_m | 1133.056 697.2446 1.63 0.105 -236.7756 2502.888 + house_educlabor_m | 127.3561 59.83136 2.13 0.034 9.809327 244.903 + house_energycommerce_m | -11.47147 39.20454 -0.29 0.770 -88.49412 65.55117 + house_foreignaffairs_m | 594.6644 130.5862 4.55 0.000 338.1102 851.2187 + house_governmentop_m | 5.524322 125.5121 0.04 0.965 -241.0613 252.1099 + house_intelligence_m | -1336.671 267.7069 -4.99 0.000 -1862.618 -810.7248 + house_interior_m | -336.0858 156.3168 -2.15 0.032 -643.1913 -28.98036 + house_judiciary_m | -91.45588 41.0146 -2.23 0.026 -172.0346 -10.87714 + house_mmf_m | 5.530754 90.69536 0.06 0.951 -172.6526 183.7141 + house_pocs_m | 34.58745 140.0303 0.25 0.805 -240.5211 309.696 + house_pwt_m | -196.4029 93.31211 -2.10 0.036 -379.7272 -13.0786 + house_rules_m | -205.4186 100.6477 -2.04 0.042 -403.1547 -7.682492 + house_sst_m | -313.2018 191.2083 -1.64 0.102 -688.8564 62.45277 + house_smallbusi_m | 716.3193 262.7054 2.73 0.007 200.199 1232.44 + house_soc_m | -818.8504 643.155 -1.27 0.204 -2082.416 444.7147 + house_veterans_m | 207.9154 86.99802 2.39 0.017 36.99597 378.8348 + house_waysandmeans_m | 18.6752 36.57694 0.51 0.610 -53.18516 90.53556 +house_naturalresources_m | -284.2473 108.9453 -2.61 0.009 -498.2852 -70.20946 + house_bfs_m | -611.5532 55.22086 -11.07 0.000 -720.042 -503.0643 + house_eeo_m | -17.01759 68.49029 -0.25 0.804 -151.576 117.5409 + house_govreform_m | -112.8323 56.5252 -2.00 0.046 -223.8837 -1.780869 + house_ir_m | 397.2916 90.10834 4.41 0.000 220.2616 574.3217 + house_natsecur_m | -150.0212 101.6828 -1.48 0.141 -349.7909 49.74855 + house_oversight_m | -137.9064 76.66775 -1.80 0.073 -288.5306 12.71781 + house_resources_m | -183.5836 56.48436 -3.25 0.001 -294.5548 -72.61242 + house_science_m | 241.6498 157.3488 1.54 0.125 -67.48326 550.7828 + house_transp_m | -245.9055 69.68399 -3.53 0.000 -382.8092 -109.0019 + house_homeland_m | 146.232 154.459 0.95 0.344 -157.2237 449.6878 + democrat | 0 (omitted) + rookie | -18.90051 4.210061 -4.49 0.000 -27.17175 -10.62927 + tenure_run | -3.253841 .8485783 -3.83 0.000 -4.920988 -1.586694 + age | .4277242 .2985526 1.43 0.153 -.1588229 1.014271 + leader | -7.599592 6.76471 -1.12 0.262 -20.88978 5.690597 + ivycoll | 13.41643 14.23897 0.94 0.347 -14.55796 41.39082 + black | -24.34637 44.05055 -0.55 0.581 -110.8896 62.19691 + occ0 | 1.523093 10.0341 0.15 0.879 -18.19026 21.23644 + occ1 | -5.056751 9.429857 -0.54 0.592 -23.58298 13.46948 + occ2 | -2.975847 7.685318 -0.39 0.699 -18.0747 12.123 + occ3 | 2.61212 10.54314 0.25 0.804 -18.10132 23.32556 + occ4 | -.5723201 8.105261 -0.07 0.944 -16.4962 15.35156 + borninstate | -5.142071 4.986036 -1.03 0.303 -14.93781 4.653671 + region_NE | 22.48021 9.394325 2.39 0.017 4.023787 40.93664 + region_MW | -5.777725 6.848673 -0.84 0.399 -19.23287 7.677421 + region_WE | 15.39684 8.228588 1.87 0.062 -.7693341 31.56302 + pct_b | 7.262431 31.38305 0.23 0.817 -54.39382 68.91868 + pct_u | -23.72154 15.57109 -1.52 0.128 -54.31305 6.86997 + pct_f | -31.8829 32.40916 -0.98 0.326 -95.55509 31.78928 + pct_a | -39.84742 73.00249 -0.55 0.585 -183.2707 103.5759 + lninc | 26.18109 20.65022 1.27 0.205 -14.38907 66.75125 + lnpden | 1.217436 2.547229 0.48 0.633 -3.786939 6.221812 + _cons | 14.08185 211.031 0.07 0.947 -400.5171 428.6808 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,243 1 0 1 1 + + +j = 2 k = 1 + + +rdbwselect_2014 nbills_cosponsored cosp_MV1_female if tag_cosponsor==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 907 +----------------------+---------------------- NN matches = 3 + Number of obs | 507 400 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of cosp_MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 13.89742 27.36987 .5077634 +---------------------------------------------- +reg nbills_cosponsored cosponsor_female if tag_cosponsor==1 & sample==1 & abs(cosp_MV1_female)<=13.89741854710611, robust cluster(cosponsor_v1_fix) + +Linear regression Number of obs = 199 + F(13, 162) = 2.99 + Prob > F = 0.0006 + R-squared = 0.1644 + Root MSE = 84.312 + + (Std. Err. adjusted for 163 clusters in cosponsor_v1_fix) +---------------------------------------------------------------------------------------- + | Robust + nbills_cosponsored | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + cosponsor_female | 42.42023 24.32691 1.74 0.083 -5.618512 90.45897 + | + v2 | + 102 | -5.627571 62.95782 -0.09 0.929 -129.9514 118.6962 + 103 | -92.88446 59.46729 -1.56 0.120 -210.3155 24.54654 + 104 | -133.2546 60.16632 -2.21 0.028 -252.066 -14.4432 + 105 | -72.03533 60.91504 -1.18 0.239 -192.3252 48.25456 + 106 | -40.8809 60.76124 -0.67 0.502 -160.8671 79.10528 + 107 | -49.98743 61.4219 -0.81 0.417 -171.2782 71.30337 + 108 | -49.04022 65.51779 -0.75 0.455 -178.4192 80.3388 + 109 | -78.53019 61.64267 -1.27 0.205 -200.2569 43.19656 + 110 | -37.35713 59.50024 -0.63 0.531 -154.8532 80.13894 + 111 | -62.87977 59.2462 -1.06 0.290 -179.8742 54.11464 + | + cosp_MV1_female | -1.818425 1.961303 -0.93 0.355 -5.69144 2.05459 +femaleXcosp_MV1_female | 1.576196 3.022298 0.52 0.603 -4.391985 7.544376 + _cons | 253.2948 58.62442 4.32 0.000 137.5283 369.0614 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 199 1 0 1 1 + + +j = 2 k = 2 + + +rdbwselect_2014 nbills_cosponsored cosp_MV1_female if cosponsor_party==100 & tag_cosponsor==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 449 +----------------------+---------------------- NN matches = 3 + Number of obs | 179 270 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of cosp_MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 16.89021 31.25053 .5404774 +---------------------------------------------- +reg nbills_cosponsored cosponsor_female if cosponsor_party==100 & tag_cosponsor==1 & sample==1 & abs(cosp_MV1_female)<=16.89020517752023, robust cluster(cosponsor_v +> 1_fix) + +Linear regression Number of obs = 111 + F(13, 83) = 4.71 + Prob > F = 0.0000 + R-squared = 0.2905 + Root MSE = 90.36 + + (Std. Err. adjusted for 84 clusters in cosponsor_v1_fix) +---------------------------------------------------------------------------------------- + | Robust + nbills_cosponsored | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + cosponsor_female | 13.90485 37.7993 0.37 0.714 -61.27644 89.08613 + | + v2 | + 102 | -39.98697 80.09719 -0.50 0.619 -199.2971 119.3231 + 103 | -151.3968 80.06329 -1.89 0.062 -310.6395 7.845867 + 104 | -199.5804 84.04345 -2.37 0.020 -366.7394 -32.42131 + 105 | -102.5486 83.63178 -1.23 0.224 -268.8889 63.79163 + 106 | -70.31005 81.49113 -0.86 0.391 -232.3926 91.77253 + 107 | -44.46696 78.34296 -0.57 0.572 -200.288 111.354 + 108 | -45.04612 89.32066 -0.50 0.615 -222.7013 132.6091 + 109 | -104.7453 83.69252 -1.25 0.214 -271.2063 61.71579 + 110 | -40.76164 85.46214 -0.48 0.635 -210.7424 129.2191 + 111 | -105.4867 78.89354 -1.34 0.185 -262.4027 51.42942 + | + cosp_MV1_female | -.387172 2.938636 -0.13 0.895 -6.232 5.457656 +femaleXcosp_MV1_female | .8724047 3.804165 0.23 0.819 -6.693927 8.438736 + _cons | 324.6677 83.05223 3.91 0.000 159.4801 489.8552 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 111 1 0 1 1 + + +j = 2 k = 3 + + +rdbwselect_2014 nbills_cosponsored cosp_MV1_female if cosponsor_party==200 & tag_cosponsor==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 458 +----------------------+---------------------- NN matches = 3 + Number of obs | 328 130 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of cosp_MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 16.59159 28.05961 .5912979 +---------------------------------------------- +reg nbills_cosponsored cosponsor_female if cosponsor_party==200 & tag_cosponsor==1 & sample==1 & abs(cosp_MV1_female)<=16.59158940576541, robust cluster(cosponsor_v +> 1_fix) + +Linear regression Number of obs = 137 + F(13, 107) = 1.45 + Prob > F = 0.1501 + R-squared = 0.1191 + Root MSE = 73.475 + + (Std. Err. adjusted for 108 clusters in cosponsor_v1_fix) +---------------------------------------------------------------------------------------- + | Robust + nbills_cosponsored | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + cosponsor_female | 7.947979 29.02822 0.27 0.785 -49.59709 65.49305 + | + v2 | + 102 | -.9178194 67.27439 -0.01 0.989 -134.2815 132.4458 + 103 | -59.41564 55.53292 -1.07 0.287 -169.5032 50.6719 + 104 | -80.21108 61.22228 -1.31 0.193 -201.5771 41.15496 + 105 | -80.80306 60.16877 -1.34 0.182 -200.0806 38.4745 + 106 | -31.64876 60.68368 -0.52 0.603 -151.9471 88.64955 + 107 | -58.0932 61.69966 -0.94 0.349 -180.4056 64.21918 + 108 | -83.3717 61.29105 -1.36 0.177 -204.8741 38.13065 + 109 | -64.47335 61.63444 -1.05 0.298 -186.6564 57.70975 + 110 | -28.07146 59.16461 -0.47 0.636 -145.3584 89.21547 + 111 | -44.04114 60.00295 -0.73 0.465 -162.99 74.9077 + | + cosp_MV1_female | .2496042 1.415837 0.18 0.860 -2.557127 3.056335 +femaleXcosp_MV1_female | 1.457801 2.790535 0.52 0.602 -4.07411 6.989712 + _cons | 236.0606 57.13332 4.13 0.000 122.8005 349.3208 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 137 1 0 1 1 + + +j = 3 k = 1 + + +rdbwselect_2014 nbills_cosponsored cosp_MV1_female if tag_cosponsor==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 907 +----------------------+---------------------- NN matches = 3 + Number of obs | 507 400 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of cosp_MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 13.89742 27.36987 .5077634 +---------------------------------------------- +(option pr assumed; Pr(cosponsor_female)) +(3,994 missing values generated) +(4,486 missing values generated) +(492 real changes made) +reg nbills_cosponsored cosponsor_female i.v2 cosp_MV1_female femaleXcosp_MV1_female [aw=wt] if tag_cosponsor==1 & sample==1 & abs(cosp_MV1_female)<=13.8974185471061 +> 1, robust cluster(cosponsor_v1_fix) +(sum of wgt is 398.1252465248108) + +Linear regression Number of obs = 199 + F(46, 162) = 9.10 + Prob > F = 0.0000 + R-squared = 0.5652 + Root MSE = 66.353 + + (Std. Err. adjusted for 163 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust + nbills_cosponsored | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | 23.60647 22.31887 1.06 0.292 -20.46695 67.67989 + | + v2 | + 102 | -16.70042 31.2494 -0.53 0.594 -78.40911 45.00826 + 103 | 85.79707 50.40277 1.70 0.091 -13.73408 185.3282 + 104 | -80.69676 145.207 -0.56 0.579 -367.4392 206.0457 + 105 | -97.32987 110.1092 -0.88 0.378 -314.7643 120.1045 + 106 | -97.99266 93.60845 -1.05 0.297 -282.8427 86.85742 + 107 | -121.0531 98.61891 -1.23 0.221 -315.7974 73.6912 + 108 | -95.11998 90.42714 -1.05 0.294 -273.6879 83.44791 + 109 | -109.2609 95.12211 -1.15 0.252 -297.1001 78.57819 + 110 | 6.631157 99.01934 0.07 0.947 -188.9039 202.1662 + 111 | 37.95365 96.98753 0.39 0.696 -153.5691 229.4764 + | + cosp_MV1_female | -1.778618 2.010505 -0.88 0.378 -5.748793 2.191558 + femaleXcosp_MV1_female | 3.306943 2.493609 1.33 0.187 -1.617226 8.231111 + house_administration_m | -732.2198 409.8919 -1.79 0.076 -1541.64 77.20027 + house_agriculture_m | 537.3616 363.2679 1.48 0.141 -179.9893 1254.713 + house_appropriations_m | 206.2376 219.1417 0.94 0.348 -226.505 638.9801 + house_armedservices_m | -495.5966 284.5092 -1.74 0.083 -1057.421 66.22817 + house_budget_m | -681.3715 543.3806 -1.25 0.212 -1754.394 391.6507 + house_dc_m | -6394.973 2889.871 -2.21 0.028 -12101.65 -688.2987 + house_educlabor_m | 283.7125 174.9784 1.62 0.107 -61.82017 629.2451 + house_energycommerce_m | 43.35366 102.0978 0.42 0.672 -158.2604 244.9677 + house_foreignaffairs_m | 463.4097 329.4185 1.41 0.161 -187.0982 1113.918 + house_governmentop_m | 230.5563 539.1403 0.43 0.669 -834.0925 1295.205 + house_intelligence_m | -49.33497 1318.185 -0.04 0.970 -2652.376 2553.706 + house_interior_m | 2235.302 914.2115 2.45 0.016 429.9941 4040.61 + house_judiciary_m | -4.160958 141.2122 -0.03 0.977 -283.0148 274.6929 + house_mmf_m | 19.68415 667.3553 0.03 0.977 -1298.153 1337.521 + house_pocs_m | -787.4481 657.003 -1.20 0.232 -2084.842 509.9461 + house_pwt_m | -1467.418 348.443 -4.21 0.000 -2155.494 -779.342 + house_rules_m | -747.2828 451.864 -1.65 0.100 -1639.586 145.0202 + house_sst_m | -394.2909 660.7786 -0.60 0.552 -1699.141 910.559 + house_smallbusi_m | 199.6549 601.1197 0.33 0.740 -987.3857 1386.696 + house_soc_m | 1928.597 2291.713 0.84 0.401 -2596.885 6454.079 + house_veterans_m | 745.6716 293.3144 2.54 0.012 166.4591 1324.884 + house_waysandmeans_m | -63.91738 169.1647 -0.38 0.706 -397.9696 270.1348 +house_naturalresources_m | -329.1419 351.2788 -0.94 0.350 -1022.818 364.534 + house_bfs_m | -829.7529 158.2592 -5.24 0.000 -1142.27 -517.236 + house_eeo_m | -85.2811 392.0115 -0.22 0.828 -859.3924 688.8302 + house_govreform_m | 562.2497 283.9905 1.98 0.049 1.449097 1123.05 + house_ir_m | 704.9242 282.5858 2.49 0.014 146.8976 1262.951 + house_natsecur_m | -580.1101 503.5105 -1.15 0.251 -1574.4 414.18 + house_oversight_m | -810.6141 404.9653 -2.00 0.047 -1610.305 -10.92273 + house_resources_m | -374.8497 278.5487 -1.35 0.180 -924.9042 175.2049 + house_science_m | 760.8216 461.1541 1.65 0.101 -149.8267 1671.47 + house_transp_m | -146.9394 298.5729 -0.49 0.623 -736.536 442.6573 + house_homeland_m | -382.8144 556.1188 -0.69 0.492 -1480.991 715.3622 + _cons | 316.6686 151.5268 2.09 0.038 17.44618 615.891 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 199 1 0 1 1 + + +j = 3 k = 2 + + +rdbwselect_2014 nbills_cosponsored cosp_MV1_female if cosponsor_party==100 & tag_cosponsor==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 449 +----------------------+---------------------- NN matches = 3 + Number of obs | 179 270 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of cosp_MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 16.89021 31.25053 .5404774 +---------------------------------------------- +(option pr assumed; Pr(cosponsor_female)) +(4,435 missing values generated) +(4,608 missing values generated) +(173 real changes made) +reg nbills_cosponsored cosponsor_female i.v2 cosp_MV1_female femaleXcosp_MV1_female [aw=wt] if cosponsor_party==100 & tag_cosponsor==1 & sample==1 & abs(cosp_MV1_fe +> male)<=16.89020517752023, robust cluster(cosponsor_v1_fix) +(sum of wgt is 214.0025451183319) + +Linear regression Number of obs = 111 + F(46, 83) = 14.08 + Prob > F = 0.0000 + R-squared = 0.7846 + Root MSE = 64.448 + + (Std. Err. adjusted for 84 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust + nbills_cosponsored | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | 28.27245 30.91129 0.91 0.363 -33.20886 89.75376 + | + v2 | + 102 | 9.26888 43.58598 0.21 0.832 -77.42188 95.95964 + 103 | 157.3912 103.1061 1.53 0.131 -47.68264 362.465 + 104 | -26.17451 222.2975 -0.12 0.907 -468.3153 415.9663 + 105 | 15.68183 183.4024 0.09 0.932 -349.0982 380.4618 + 106 | -92.07466 163.9186 -0.56 0.576 -418.1022 233.9529 + 107 | -4.026226 174.2947 -0.02 0.982 -350.6914 342.639 + 108 | 12.17793 164.9146 0.07 0.941 -315.8305 340.1864 + 109 | -13.47419 172.7162 -0.08 0.938 -356.9999 330.0515 + 110 | 176.4089 161.7265 1.09 0.279 -145.2586 498.0764 + 111 | 159.035 161.754 0.98 0.328 -162.6872 480.7573 + | + cosp_MV1_female | -3.695858 2.66196 -1.39 0.169 -8.990389 1.598674 + femaleXcosp_MV1_female | 8.253309 3.462804 2.38 0.019 1.365932 15.14069 + house_administration_m | -1832.716 859.4363 -2.13 0.036 -3542.1 -123.3318 + house_agriculture_m | 1464.479 564.3988 2.59 0.011 341.9124 2587.045 + house_appropriations_m | -186.2277 2552.244 -0.07 0.942 -5262.538 4890.083 + house_armedservices_m | -679.1562 443.041 -1.53 0.129 -1560.347 202.0346 + house_budget_m | -1107.014 870.6838 -1.27 0.207 -2838.769 624.7413 + house_dc_m | -7359.78 5136.198 -1.43 0.156 -17575.47 2855.91 + house_educlabor_m | 679.741 216.4881 3.14 0.002 249.155 1110.327 + house_energycommerce_m | -160.2933 219.5263 -0.73 0.467 -596.9223 276.3356 + house_foreignaffairs_m | 394.8345 553.9302 0.71 0.478 -706.9103 1496.579 + house_governmentop_m | 14.60079 893.4106 0.02 0.987 -1762.357 1791.559 + house_intelligence_m | -4092.551 1956.596 -2.09 0.040 -7984.143 -200.9597 + house_interior_m | 2672.102 1674.799 1.60 0.114 -659.0061 6003.211 + house_judiciary_m | 227.4047 269.8567 0.84 0.402 -309.3295 764.1388 + house_mmf_m | 44.01372 551.3735 0.08 0.937 -1052.646 1140.674 + house_pocs_m | -393.9298 953.0262 -0.41 0.680 -2289.461 1501.601 + house_pwt_m | -1366.157 798.6106 -1.71 0.091 -2954.562 222.2469 + house_rules_m | -810.7341 893.8553 -0.91 0.367 -2588.576 967.1082 + house_sst_m | -971.9791 636.5299 -1.53 0.131 -2238.012 294.0533 + house_smallbusi_m | 761.0461 1058.409 0.72 0.474 -1344.087 2866.18 + house_soc_m | -258.2328 4342.261 -0.06 0.953 -8894.814 8378.349 + house_veterans_m | 829.6098 419.4808 1.98 0.051 -4.7207 1663.94 + house_waysandmeans_m | -339.997 212.7003 -1.60 0.114 -763.0493 83.05528 +house_naturalresources_m | -2017.405 892.0483 -2.26 0.026 -3791.653 -243.1571 + house_bfs_m | -887.8748 166.6478 -5.33 0.000 -1219.33 -556.4191 + house_eeo_m | 565.6885 524.6477 1.08 0.284 -477.8145 1609.192 + house_govreform_m | 397.0424 353.0087 1.12 0.264 -305.0777 1099.162 + house_ir_m | 613.929 558.2371 1.10 0.275 -496.3821 1724.24 + house_natsecur_m | -1121.913 729.9903 -1.54 0.128 -2573.835 330.0079 + house_oversight_m | -1094.883 717.7922 -1.53 0.131 -2522.542 332.7771 + house_resources_m | -582.4829 518.485 -1.12 0.264 -1613.729 448.763 + house_science_m | 699.9308 443.9627 1.58 0.119 -183.0932 1582.955 + house_transp_m | -704.5096 561.0086 -1.26 0.213 -1820.333 411.3139 + house_homeland_m | 1661.173 1528.384 1.09 0.280 -1378.721 4701.067 + _cons | 360.9574 163.3623 2.21 0.030 36.03632 685.8785 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 111 1 0 1 1 + + +j = 3 k = 3 + + +rdbwselect_2014 nbills_cosponsored cosp_MV1_female if cosponsor_party==200 & tag_cosponsor==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 458 +----------------------+---------------------- NN matches = 3 + Number of obs | 328 130 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of cosp_MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 16.59159 28.05961 .5912979 +---------------------------------------------- +(option pr assumed; Pr(cosponsor_female)) +(4,462 missing values generated) +(4,764 missing values generated) +(302 real changes made) +reg nbills_cosponsored cosponsor_female i.v2 cosp_MV1_female femaleXcosp_MV1_female [aw=wt] if cosponsor_party==200 & tag_cosponsor==1 & sample==1 & abs(cosp_MV1_fe +> male)<=16.59158940576541, robust cluster(cosponsor_v1_fix) +(sum of wgt is 240.9415366649628) + +Linear regression Number of obs = 133 + F(45, 104) = 5.13 + Prob > F = 0.0000 + R-squared = 0.5012 + Root MSE = 60.154 + + (Std. Err. adjusted for 105 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust + nbills_cosponsored | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | 14.8891 25.25827 0.59 0.557 -35.19901 64.97721 + | + v2 | + 103 | 23.65238 92.65841 0.26 0.799 -160.0927 207.3975 + 104 | -182.6397 182.7752 -1.00 0.320 -545.0898 179.8105 + 105 | -205.3485 170.5164 -1.20 0.231 -543.4889 132.7918 + 106 | -220.4779 169.8332 -1.30 0.197 -557.2635 116.3078 + 107 | -271.6939 165.4942 -1.64 0.104 -599.8751 56.48726 + 108 | -239.3303 162.0643 -1.48 0.143 -560.7099 82.04923 + 109 | -230.5417 168.1474 -1.37 0.173 -563.9843 102.9009 + 110 | -191.6997 186.7337 -1.03 0.307 -561.9997 178.6003 + 111 | -187.5204 174.1636 -1.08 0.284 -532.8933 157.8526 + | + cosp_MV1_female | -.2142894 1.801067 -0.12 0.906 -3.785873 3.357294 + femaleXcosp_MV1_female | 3.183868 2.797059 1.14 0.258 -2.362805 8.73054 + house_administration_m | 278.7431 630.3809 0.44 0.659 -971.3259 1528.812 + house_agriculture_m | 209.7041 452.7201 0.46 0.644 -688.0568 1107.465 + house_appropriations_m | 390.8239 257.1106 1.52 0.132 -119.0361 900.684 + house_armedservices_m | -347.3564 396.7935 -0.88 0.383 -1134.213 439.5001 + house_budget_m | -696.9303 979.9891 -0.71 0.479 -2640.285 1246.425 + house_dc_m | -2943.019 6922.312 -0.43 0.672 -16670.22 10784.19 + house_educlabor_m | 268.7993 350.0541 0.77 0.444 -425.3712 962.9697 + house_energycommerce_m | 29.72875 154.3933 0.19 0.848 -276.439 335.8965 + house_foreignaffairs_m | 165.1065 523.3511 0.32 0.753 -872.7184 1202.931 + house_governmentop_m | 138.9237 740.467 0.19 0.852 -1329.45 1607.298 + house_intelligence_m | -213.9055 1641.092 -0.13 0.897 -3468.252 3040.441 + house_interior_m | 59.19433 2933.253 0.02 0.984 -5757.556 5875.945 + house_judiciary_m | -15.21111 180.6016 -0.08 0.933 -373.3508 342.9286 + house_mmf_m | -176.041 856.7479 -0.21 0.838 -1875.004 1522.922 + house_pocs_m | -1780.159 1138.649 -1.56 0.121 -4038.142 477.8235 + house_pwt_m | -1958.69 1104.701 -1.77 0.079 -4149.353 231.9726 + house_rules_m | -699.1121 694.4231 -1.01 0.316 -2076.179 677.955 + house_sst_m | -195.631 1528.312 -0.13 0.898 -3226.331 2835.069 + house_smallbusi_m | 305.0827 937.9753 0.33 0.746 -1554.957 2165.123 + house_soc_m | 1575.02 3893.99 0.40 0.687 -6146.908 9296.948 + house_veterans_m | 335.5267 415.0114 0.81 0.421 -487.4564 1158.51 + house_waysandmeans_m | 1.858609 226.3312 0.01 0.993 -446.9646 450.6819 +house_naturalresources_m | 275.6592 491.2032 0.56 0.576 -698.4152 1249.734 + house_bfs_m | -751.0567 253.1437 -2.97 0.004 -1253.05 -249.0632 + house_eeo_m | -161.6853 441.5526 -0.37 0.715 -1037.301 713.9301 + house_govreform_m | 602.1926 416.4433 1.45 0.151 -223.6302 1428.015 + house_ir_m | 857.6146 463.4636 1.85 0.067 -61.45112 1776.68 + house_natsecur_m | -646.6609 604.8642 -1.07 0.287 -1846.129 552.8075 + house_oversight_m | -193.745 537.2066 -0.36 0.719 -1259.046 871.5559 + house_resources_m | -526.8074 324.029 -1.63 0.107 -1169.369 115.7543 + house_science_m | 861.0369 744.6879 1.16 0.250 -615.7072 2337.781 + house_transp_m | 172.1115 389.1183 0.44 0.659 -599.5246 943.7477 + house_homeland_m | -833.1882 588.312 -1.42 0.160 -1999.833 333.4567 + _cons | 397.2825 273.3646 1.45 0.149 -144.8097 939.3747 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 133 1 0 1 1 + + +j = 4 k = 1 + + +rdbwselect_2014 nbills_cosponsored cosp_MV1_female if tag_cosponsor==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 907 +----------------------+---------------------- NN matches = 3 + Number of obs | 507 400 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of cosp_MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 13.89742 27.36987 .5077634 +---------------------------------------------- +(option pr assumed; Pr(cosponsor_female)) +(418 missing values generated) +(4,331 missing values generated) +(3,913 real changes made) +reg nbills_cosponsored cosponsor_female i.v2 [aw=wt] if tag_cosponsor==1, robust cluster(cosponsor_v1_fix) +(sum of wgt is 8,883.04598164558) + +Linear regression Number of obs = 4,447 + F(44, 1082) = 22.44 + Prob > F = 0.0000 + R-squared = 0.3430 + Root MSE = 91.126 + + (Std. Err. adjusted for 1,083 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust + nbills_cosponsored | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | 15.93643 6.955783 2.29 0.022 2.288078 29.58478 + | + v2 | + 102 | -17.33661 17.86518 -0.97 0.332 -52.39093 17.71771 + 103 | -4.852595 28.5231 -0.17 0.865 -60.81945 51.11426 + 104 | 70.96521 47.11533 1.51 0.132 -21.48256 163.413 + 105 | 66.93273 55.29557 1.21 0.226 -41.56596 175.4314 + 106 | 84.45792 51.24159 1.65 0.100 -16.08622 185.0021 + 107 | 82.07408 50.94298 1.61 0.107 -17.88413 182.0323 + 108 | 94.91869 49.3061 1.93 0.054 -1.827717 191.6651 + 109 | 56.62353 48.62019 1.16 0.244 -38.77701 152.0241 + 110 | 150.5911 49.38659 3.05 0.002 53.68679 247.4955 + 111 | 149.661 49.71054 3.01 0.003 52.12101 247.201 + | + house_administration_m | -154.2232 135.4236 -1.14 0.255 -419.9458 111.4995 + house_agriculture_m | 15.69928 126.2631 0.12 0.901 -232.049 263.4475 + house_appropriations_m | 370.0024 68.05448 5.44 0.000 236.4687 503.5361 + house_armedservices_m | -4.337674 160.1349 -0.03 0.978 -318.5478 309.8725 + house_budget_m | -663.1685 168.6962 -3.93 0.000 -994.1773 -332.1597 + house_dc_m | -815.1477 824.3589 -0.99 0.323 -2432.671 802.3755 + house_educlabor_m | 211.8438 140.8796 1.50 0.133 -64.58439 488.2721 + house_energycommerce_m | 368.1767 77.54788 4.75 0.000 216.0154 520.3379 + house_foreignaffairs_m | 890.2792 198.3622 4.49 0.000 501.061 1279.497 + house_governmentop_m | 510.7508 190.7677 2.68 0.008 136.4343 885.0673 + house_intelligence_m | -171.3491 484.5816 -0.35 0.724 -1122.175 779.4769 + house_interior_m | 257.8726 293.6044 0.88 0.380 -318.2259 833.9711 + house_judiciary_m | 138.1713 75.53934 1.83 0.068 -10.04888 286.3915 + house_mmf_m | 488.2084 128.0158 3.81 0.000 237.021 739.3958 + house_pocs_m | -152.1032 221.4259 -0.69 0.492 -586.576 282.3695 + house_pwt_m | -272.7583 164.717 -1.66 0.098 -595.9592 50.44253 + house_rules_m | -300.1184 188.4496 -1.59 0.112 -669.8864 69.64969 + house_sst_m | -78.933 247.4945 -0.32 0.750 -564.5566 406.6906 + house_smallbusi_m | 1363.642 328.9411 4.15 0.000 718.2072 2009.076 + house_soc_m | -38.01232 1198.026 -0.03 0.975 -2388.729 2312.704 + house_veterans_m | 451.3344 113.4076 3.98 0.000 228.8106 673.8582 + house_waysandmeans_m | -76.51713 50.32942 -1.52 0.129 -175.2714 22.2372 +house_naturalresources_m | -213.5467 146.3506 -1.46 0.145 -500.7098 73.61651 + house_bfs_m | -594.7114 90.03088 -6.61 0.000 -771.3663 -418.0565 + house_eeo_m | -54.07305 89.06802 -0.61 0.544 -228.8386 120.6925 + house_govreform_m | 223.2934 116.0099 1.92 0.055 -4.336432 450.9231 + house_ir_m | 407.7938 173.7626 2.35 0.019 66.84387 748.7436 + house_natsecur_m | -280.9964 138.0326 -2.04 0.042 -551.8383 -10.15448 + house_oversight_m | -607.7012 121.7224 -4.99 0.000 -846.5398 -368.8626 + house_resources_m | -14.17305 101.8983 -0.14 0.889 -214.1136 185.7675 + house_science_m | 534.9049 192.1577 2.78 0.005 157.861 911.9489 + house_transp_m | -333.4641 105.9072 -3.15 0.002 -541.2709 -125.6573 + house_homeland_m | -234.2694 322.8292 -0.73 0.468 -867.7115 399.1728 + _cons | 63.34725 76.5836 0.83 0.408 -86.92195 213.6164 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,447 1 0 1 1 + + +j = 4 k = 2 + + +rdbwselect_2014 nbills_cosponsored cosp_MV1_female if cosponsor_party==100 & tag_cosponsor==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 449 +----------------------+---------------------- NN matches = 3 + Number of obs | 179 270 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of cosp_MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 16.89021 31.25053 .5404774 +---------------------------------------------- +(option pr assumed; Pr(cosponsor_female)) +(418 missing values generated) +(4,331 missing values generated) +(3,913 real changes made) +reg nbills_cosponsored cosponsor_female i.v2 [aw=wt] if cosponsor_party==100 & tag_cosponsor==1, robust cluster(cosponsor_v1_fix) +(sum of wgt is 4,635.8760625124) + +Linear regression Number of obs = 2,309 + F(44, 573) = 24.15 + Prob > F = 0.0000 + R-squared = 0.4469 + Root MSE = 96.086 + + (Std. Err. adjusted for 574 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust + nbills_cosponsored | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | 28.10384 9.153128 3.07 0.002 10.12607 46.08162 + | + v2 | + 102 | -4.878117 17.95349 -0.27 0.786 -40.14078 30.38455 + 103 | 6.897113 27.69409 0.25 0.803 -47.4972 61.29143 + 104 | 132.1571 46.40186 2.85 0.005 41.0186 223.2956 + 105 | 155.6025 42.82441 3.63 0.000 71.49057 239.7145 + 106 | 166.4328 46.69529 3.56 0.000 74.71795 258.1476 + 107 | 209.5293 49.17661 4.26 0.000 112.9409 306.1177 + 108 | 201.3677 47.73609 4.22 0.000 107.6087 295.1268 + 109 | 185.2974 50.95617 3.64 0.000 85.21374 285.3811 + 110 | 222.0264 46.24345 4.80 0.000 131.199 312.8537 + 111 | 209.9974 45.80073 4.59 0.000 120.0396 299.9552 + | + house_administration_m | -500.738 188.8788 -2.65 0.008 -871.7172 -129.7588 + house_agriculture_m | -373.2332 146.3126 -2.55 0.011 -660.6077 -85.85866 + house_appropriations_m | 526.7271 259.8196 2.03 0.043 16.41222 1037.042 + house_armedservices_m | -117.9091 201.2992 -0.59 0.558 -513.2834 277.4653 + house_budget_m | -1058.19 244.6059 -4.33 0.000 -1538.624 -577.7566 + house_dc_m | -1923.757 958.1563 -2.01 0.045 -3805.684 -41.83054 + house_educlabor_m | -113.2141 82.88599 -1.37 0.173 -276.0115 49.58332 + house_energycommerce_m | 347.531 76.30609 4.55 0.000 197.6572 497.4047 + house_foreignaffairs_m | 1117.693 161.5798 6.92 0.000 800.3324 1435.054 + house_governmentop_m | 417.9675 247.4658 1.69 0.092 -68.08326 904.0182 + house_intelligence_m | -1846.831 779.0176 -2.37 0.018 -3376.91 -316.7532 + house_interior_m | -182.7834 321.4075 -0.57 0.570 -814.0639 448.4971 + house_judiciary_m | 402.6424 88.55082 4.55 0.000 228.7187 576.5662 + house_mmf_m | 386.48 185.686 2.08 0.038 21.77185 751.1881 + house_pocs_m | 245.0774 214.0078 1.15 0.253 -175.2579 665.4128 + house_pwt_m | -523.7856 182.0237 -2.88 0.004 -881.3006 -166.2706 + house_rules_m | -889.7554 252.6688 -3.52 0.000 -1386.026 -393.4853 + house_sst_m | 49.84788 288.4713 0.17 0.863 -516.7422 616.438 + house_smallbusi_m | 635.0708 394.2964 1.61 0.108 -139.3718 1409.513 + house_soc_m | -1971.433 968.245 -2.04 0.042 -3873.176 -69.69113 + house_veterans_m | 212.0249 136.2644 1.56 0.120 -55.61364 479.6635 + house_waysandmeans_m | -169.6554 66.17203 -2.56 0.011 -299.6247 -39.68603 +house_naturalresources_m | -505.9183 187.7067 -2.70 0.007 -874.5955 -137.2412 + house_bfs_m | -703.6754 108.5814 -6.48 0.000 -916.9415 -490.4094 + house_eeo_m | -295.9649 171.9935 -1.72 0.086 -633.7794 41.84966 + house_govreform_m | 113.202 157.5576 0.72 0.473 -196.2589 422.663 + house_ir_m | 186.3492 219.428 0.85 0.396 -244.632 617.3305 + house_natsecur_m | -549.1256 163.9218 -3.35 0.001 -871.0865 -227.1647 + house_oversight_m | -746.3091 171.2303 -4.36 0.000 -1082.625 -409.9935 + house_resources_m | -420.5665 158.6028 -2.65 0.008 -732.0803 -109.0527 + house_science_m | 277.9938 247.5247 1.12 0.262 -208.1726 764.1602 + house_transp_m | -571.2107 142.7813 -4.00 0.000 -851.6492 -290.7723 + house_homeland_m | 181.0609 456.437 0.40 0.692 -715.4329 1077.555 + _cons | 184.544 60.13478 3.07 0.002 66.43248 302.6555 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,309 1 0 1 1 + + +j = 4 k = 3 + + +rdbwselect_2014 nbills_cosponsored cosp_MV1_female if cosponsor_party==200 & tag_cosponsor==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 458 +----------------------+---------------------- NN matches = 3 + Number of obs | 328 130 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of cosp_MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 16.59159 28.05961 .5912979 +---------------------------------------------- +(option pr assumed; Pr(cosponsor_female)) +(418 missing values generated) +(4,331 missing values generated) +(3,913 real changes made) +reg nbills_cosponsored cosponsor_female i.v2 [aw=wt] if cosponsor_party==200 & tag_cosponsor==1, robust cluster(cosponsor_v1_fix) +(sum of wgt is 4,122.02951204777) + +Linear regression Number of obs = 2,137 + F(44, 519) = 16.65 + Prob > F = 0.0000 + R-squared = 0.2967 + Root MSE = 64.07 + + (Std. Err. adjusted for 520 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust + nbills_cosponsored | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | 20.62631 8.013472 2.57 0.010 4.883478 36.36914 + | + v2 | + 102 | -23.84938 12.01761 -1.98 0.048 -47.45852 -.2402447 + 103 | -9.813152 25.13697 -0.39 0.696 -59.19587 39.56956 + 104 | 27.5203 49.84417 0.55 0.581 -70.40084 125.4414 + 105 | 13.46885 47.30762 0.28 0.776 -79.46912 106.4068 + 106 | 20.49985 42.86497 0.48 0.633 -63.71034 104.71 + 107 | -22.86245 40.17927 -0.57 0.570 -101.7965 56.07155 + 108 | 7.148879 39.20877 0.18 0.855 -69.87853 84.17629 + 109 | -3.270065 39.23403 -0.08 0.934 -80.3471 73.80697 + 110 | 72.43811 42.75463 1.69 0.091 -11.55531 156.4315 + 111 | 74.42852 40.32115 1.85 0.065 -4.784203 153.6412 + | + house_administration_m | 19.87796 194.3668 0.10 0.919 -361.9643 401.7203 + house_agriculture_m | 119.7588 180.8427 0.66 0.508 -235.5148 475.0324 + house_appropriations_m | 154.9737 67.85115 2.28 0.023 21.677 288.2703 + house_armedservices_m | -11.04752 158.9626 -0.07 0.945 -323.3368 301.2418 + house_budget_m | -533.8234 212.5898 -2.51 0.012 -951.4657 -116.1811 + house_dc_m | 1722.516 1011.389 1.70 0.089 -264.4038 3709.435 + house_educlabor_m | 116.6598 84.20919 1.39 0.167 -48.77296 282.0926 + house_energycommerce_m | -76.79895 57.51991 -1.34 0.182 -189.7994 36.20151 + house_foreignaffairs_m | 516.2007 190.5162 2.71 0.007 141.923 890.4783 + house_governmentop_m | -296.9733 220.3462 -1.35 0.178 -729.8534 135.9067 + house_intelligence_m | -1580.195 475.8456 -3.32 0.001 -2515.015 -645.3748 + house_interior_m | -274.7363 196.1029 -1.40 0.162 -659.9892 110.5167 + house_judiciary_m | -126.2304 53.65419 -2.35 0.019 -231.6365 -20.82427 + house_mmf_m | 47.71647 196.5375 0.24 0.808 -338.3904 433.8233 + house_pocs_m | 80.82781 212.0731 0.38 0.703 -335.7994 497.455 + house_pwt_m | -260.553 142.0599 -1.83 0.067 -539.636 18.53005 + house_rules_m | 283.7087 175.2665 1.62 0.106 -60.61024 628.0277 + house_sst_m | 130.0383 359.6768 0.36 0.718 -576.563 836.6397 + house_smallbusi_m | 1194.653 415.9978 2.87 0.004 377.4062 2011.899 + house_soc_m | -2593.586 1363.618 -1.90 0.058 -5272.475 85.30363 + house_veterans_m | 325.5557 144.5954 2.25 0.025 41.49151 609.6199 + house_waysandmeans_m | -35.36281 46.51567 -0.76 0.447 -126.7449 56.01934 +house_naturalresources_m | -246.2445 148.4978 -1.66 0.098 -537.9752 45.4862 + house_bfs_m | -676.6587 71.01016 -9.53 0.000 -816.1613 -537.156 + house_eeo_m | -111.4935 82.05577 -1.36 0.175 -272.6958 49.70874 + house_govreform_m | -27.46193 106.4377 -0.26 0.797 -236.5637 181.6398 + house_ir_m | 375.8695 151.3027 2.48 0.013 78.62862 673.1105 + house_natsecur_m | -61.27509 245.0902 -0.25 0.803 -542.7659 420.2157 + house_oversight_m | -353.8406 119.3358 -2.97 0.003 -588.2813 -119.4 + house_resources_m | -246.3003 107.5894 -2.29 0.022 -457.6645 -34.93609 + house_science_m | 424.5454 254.1051 1.67 0.095 -74.65559 923.7464 + house_transp_m | -193.6586 119.1429 -1.63 0.105 -427.7203 40.403 + house_homeland_m | 227.1779 368.3812 0.62 0.538 -496.5237 950.8796 + _cons | 265.9835 51.83157 5.13 0.000 164.158 367.8089 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,137 1 0 1 1 + + +j = 5 k = 1 + + +rdbwselect_2014 nbills_cosponsored cosp_MV1_female if tag_cosponsor==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 907 +----------------------+---------------------- NN matches = 3 + Number of obs | 507 400 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of cosp_MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 13.89742 27.36987 .5077634 +---------------------------------------------- +(option pr assumed; Pr(cosponsor_female)) +(515 missing values generated) +(4,347 missing values generated) +(3,832 real changes made) +reg nbills_cosponsored cosponsor_female i.v2 [aw=wt] if tag_cosponsor==1, robust cluster(cosponsor_v1_fix) +(sum of wgt is 8,490.35073935986) + +Linear regression Number of obs = 4,360 + F(44, 1067) = 27.37 + Prob > F = 0.0000 + R-squared = 0.3751 + Root MSE = 87.495 + + (Std. Err. adjusted for 1,068 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust + nbills_cosponsored | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | 5.992915 8.155725 0.73 0.463 -10.01016 21.99599 + | + v2 | + 102 | -14.59464 16.60488 -0.88 0.380 -47.17657 17.98729 + 103 | 12.39444 27.6027 0.45 0.654 -41.76729 66.55617 + 104 | 96.51112 44.97422 2.15 0.032 8.263169 184.7591 + 105 | 89.49906 50.54686 1.77 0.077 -9.683469 188.6816 + 106 | 92.28257 46.78548 1.97 0.049 .4805735 184.0846 + 107 | 99.34115 48.29723 2.06 0.040 4.572809 194.1095 + 108 | 115.0387 44.02595 2.61 0.009 28.65148 201.426 + 109 | 81.01685 44.23801 1.83 0.067 -5.78652 167.8202 + 110 | 192.9061 48.40496 3.99 0.000 97.92637 287.8858 + 111 | 194.6993 50.39152 3.86 0.000 95.82161 293.5771 + | + house_administration_m | -145.2623 119.424 -1.22 0.224 -379.5948 89.0703 + house_agriculture_m | 102.4868 128.436 0.80 0.425 -149.5291 354.5026 + house_appropriations_m | 418.242 65.23479 6.41 0.000 290.239 546.2451 + house_armedservices_m | 148.8565 119.3516 1.25 0.213 -85.33393 383.047 + house_budget_m | -626.8695 166.4397 -3.77 0.000 -953.4558 -300.2832 + house_dc_m | -880.5188 853.4609 -1.03 0.302 -2555.171 794.1334 + house_educlabor_m | 233.7709 121.1876 1.93 0.054 -4.022123 471.5638 + house_energycommerce_m | 353.9702 68.91095 5.14 0.000 218.7539 489.1866 + house_foreignaffairs_m | 722.1665 207.4883 3.48 0.001 315.035 1129.298 + house_governmentop_m | 534.0329 208.13 2.57 0.010 125.6423 942.4234 + house_intelligence_m | -320.7515 405.6002 -0.79 0.429 -1116.616 475.1131 + house_interior_m | 529.5762 352.3064 1.50 0.133 -161.7157 1220.868 + house_judiciary_m | 215.1478 77.70038 2.77 0.006 62.68492 367.6107 + house_mmf_m | 491.1583 135.9888 3.61 0.000 224.3225 757.9941 + house_pocs_m | -233.4895 222.5238 -1.05 0.294 -670.1235 203.1444 + house_pwt_m | -86.63817 132.5028 -0.65 0.513 -346.6337 173.3574 + house_rules_m | -553.5341 154.7126 -3.58 0.000 -857.1097 -249.9586 + house_sst_m | -33.5962 257.333 -0.13 0.896 -538.5324 471.34 + house_smallbusi_m | 1461.384 321.3722 4.55 0.000 830.7909 2091.977 + house_soc_m | 361.1001 974.1263 0.37 0.711 -1550.321 2272.521 + house_veterans_m | 441.3113 101.4943 4.35 0.000 242.1602 640.4624 + house_waysandmeans_m | -9.666467 41.52205 -0.23 0.816 -91.1406 71.80767 +house_naturalresources_m | -194.912 126.771 -1.54 0.124 -443.6607 53.83676 + house_bfs_m | -548.2226 81.62585 -6.72 0.000 -708.388 -388.0572 + house_eeo_m | -22.10727 101.3459 -0.22 0.827 -220.9671 176.7526 + house_govreform_m | 122.8141 107.5912 1.14 0.254 -88.30027 333.9285 + house_ir_m | 684.4371 116.6182 5.87 0.000 455.6101 913.2641 + house_natsecur_m | -262.9931 157.5964 -1.67 0.095 -572.2271 46.24083 + house_oversight_m | -655.5166 146.2647 -4.48 0.000 -942.5157 -368.5174 + house_resources_m | 12.26341 86.37405 0.14 0.887 -157.2189 181.7457 + house_science_m | 588.6259 194.6381 3.02 0.003 206.709 970.5428 + house_transp_m | -380.6915 114.5508 -3.32 0.001 -605.462 -155.921 + house_homeland_m | -185.0132 229.6505 -0.81 0.421 -635.6311 265.6047 + _cons | 3.390139 73.49146 0.05 0.963 -140.8141 147.5943 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,360 1 0 1 1 + + +j = 5 k = 2 + + +rdbwselect_2014 nbills_cosponsored cosp_MV1_female if cosponsor_party==100 & tag_cosponsor==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 449 +----------------------+---------------------- NN matches = 3 + Number of obs | 179 270 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of cosp_MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 16.89021 31.25053 .5404774 +---------------------------------------------- +(option pr assumed; Pr(cosponsor_female)) +(515 missing values generated) +(4,347 missing values generated) +(3,832 real changes made) +reg nbills_cosponsored cosponsor_female i.v2 [aw=wt] if cosponsor_party==100 & tag_cosponsor==1, robust cluster(cosponsor_v1_fix) +(sum of wgt is 4,397.69845294952) + +Linear regression Number of obs = 2,268 + F(44, 569) = 36.72 + Prob > F = 0.0000 + R-squared = 0.4616 + Root MSE = 92.072 + + (Std. Err. adjusted for 570 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust + nbills_cosponsored | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | 21.77164 8.785408 2.48 0.013 4.51585 39.02743 + | + v2 | + 102 | -15.0404 16.49513 -0.91 0.362 -47.43918 17.35838 + 103 | 2.174422 23.71788 0.09 0.927 -44.41086 48.7597 + 104 | 130.794 44.88684 2.91 0.004 42.62991 218.9582 + 105 | 146.4719 40.34405 3.63 0.000 67.23043 225.7133 + 106 | 143.5701 41.64768 3.45 0.001 61.76815 225.3721 + 107 | 192.9344 44.35239 4.35 0.000 105.82 280.0488 + 108 | 193.1136 42.88846 4.50 0.000 108.8746 277.3527 + 109 | 177.7975 45.93353 3.87 0.000 87.57754 268.0175 + 110 | 242.2088 43.73501 5.54 0.000 156.3071 328.1106 + 111 | 225.3656 42.85185 5.26 0.000 141.1985 309.5327 + | + house_administration_m | -492.2017 159.2166 -3.09 0.002 -804.9257 -179.4777 + house_agriculture_m | -412.019 130.2635 -3.16 0.002 -667.875 -156.163 + house_appropriations_m | 439.4918 232.9229 1.89 0.060 -18.00186 896.9855 + house_armedservices_m | 37.33724 168.9174 0.22 0.825 -294.4405 369.115 + house_budget_m | -738.1273 263.5802 -2.80 0.005 -1255.836 -220.4185 + house_dc_m | -3126.799 1082.04 -2.89 0.004 -5252.079 -1001.52 + house_educlabor_m | -93.44116 78.03713 -1.20 0.232 -246.7172 59.83484 + house_energycommerce_m | 303.7472 63.92017 4.75 0.000 178.1989 429.2955 + house_foreignaffairs_m | 1026.917 149.6249 6.86 0.000 733.0328 1320.802 + house_governmentop_m | 804.9434 240.3568 3.35 0.001 332.8485 1277.038 + house_intelligence_m | -2001.572 600.2241 -3.33 0.001 -3180.497 -822.6463 + house_interior_m | -77.40709 255.9241 -0.30 0.762 -580.0783 425.2641 + house_judiciary_m | 322.883 84.20792 3.83 0.000 157.4867 488.2793 + house_mmf_m | 276.9314 167.3596 1.65 0.099 -51.78651 605.6494 + house_pocs_m | 217.3792 184.7769 1.18 0.240 -145.5489 580.3073 + house_pwt_m | -383.1606 153.8805 -2.49 0.013 -685.4038 -80.91745 + house_rules_m | -1194.38 236.9346 -5.04 0.000 -1659.753 -729.0067 + house_sst_m | 87.25694 301.1456 0.29 0.772 -504.2357 678.7496 + house_smallbusi_m | 867.0273 377.0949 2.30 0.022 126.3595 1607.695 + house_soc_m | -2261.855 1082.955 -2.09 0.037 -4388.932 -134.7777 + house_veterans_m | 175.9732 106.2293 1.66 0.098 -32.67618 384.6227 + house_waysandmeans_m | -93.11546 60.89456 -1.53 0.127 -212.721 26.49011 +house_naturalresources_m | -368.4176 184.2529 -2.00 0.046 -730.3165 -6.51866 + house_bfs_m | -676.7857 100.6617 -6.72 0.000 -874.4996 -479.0717 + house_eeo_m | -393.804 169.8923 -2.32 0.021 -727.4965 -60.11149 + house_govreform_m | 35.41389 162.0013 0.22 0.827 -282.7797 353.6074 + house_ir_m | 706.278 148.5818 4.75 0.000 414.4424 998.1137 + house_natsecur_m | -409.5933 169.4575 -2.42 0.016 -742.4318 -76.75471 + house_oversight_m | -853.1122 228.329 -3.74 0.000 -1301.583 -404.6416 + house_resources_m | -393.331 149.3119 -2.63 0.009 -686.6007 -100.0614 + house_science_m | 242.3698 249.4035 0.97 0.332 -247.494 732.2336 + house_transp_m | -598.3967 146.0136 -4.10 0.000 -885.1881 -311.6053 + house_homeland_m | 3.526128 454.0541 0.01 0.994 -888.3006 895.3528 + _cons | 172.3752 54.56005 3.16 0.002 65.21152 279.5389 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,268 1 0 1 1 + + +j = 5 k = 3 + + +rdbwselect_2014 nbills_cosponsored cosp_MV1_female if cosponsor_party==200 & tag_cosponsor==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 458 +----------------------+---------------------- NN matches = 3 + Number of obs | 328 130 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of cosp_MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 16.59159 28.05961 .5912979 +---------------------------------------------- +(option pr assumed; Pr(cosponsor_female)) +(1,061 missing values generated) +(4,437 missing values generated) +(3,376 real changes made) +reg nbills_cosponsored cosponsor_female i.v2 [aw=wt] if cosponsor_party==200 & tag_cosponsor==1, robust cluster(cosponsor_v1_fix) +(sum of wgt is 3,080.53678405285) + +Linear regression Number of obs = 1,952 + F(44, 471) = 15.01 + Prob > F = 0.0000 + R-squared = 0.2854 + Root MSE = 61.304 + + (Std. Err. adjusted for 472 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust + nbills_cosponsored | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | 12.39948 7.048446 1.76 0.079 -1.450812 26.24977 + | + v2 | + 102 | -26.66708 10.88327 -2.45 0.015 -48.05286 -5.281313 + 103 | -9.514105 21.72523 -0.44 0.662 -52.20447 33.17626 + 104 | 40.01505 38.40619 1.04 0.298 -35.45363 115.4837 + 105 | 6.143487 33.87322 0.18 0.856 -60.41784 72.70481 + 106 | 5.584702 29.94295 0.19 0.852 -53.2536 64.423 + 107 | -23.92248 31.24149 -0.77 0.444 -85.31243 37.46747 + 108 | .0431493 29.11131 0.00 0.999 -57.16097 57.24727 + 109 | -6.692053 32.26634 -0.21 0.836 -70.09585 56.71174 + 110 | 61.89273 31.80938 1.95 0.052 -.6131286 124.3986 + 111 | 68.80857 30.65197 2.24 0.025 8.577029 129.0401 + | + house_administration_m | -85.17522 142.1302 -0.60 0.549 -364.4631 194.1126 + house_agriculture_m | -58.87331 98.41665 -0.60 0.550 -252.2633 134.5167 + house_appropriations_m | 185.5247 62.24942 2.98 0.003 63.20376 307.8457 + house_armedservices_m | 66.17763 118.8743 0.56 0.578 -167.412 299.7672 + house_budget_m | -261.9571 123.3146 -2.12 0.034 -504.2719 -19.64225 + house_dc_m | 1165.426 902.5624 1.29 0.197 -608.1212 2938.973 + house_educlabor_m | 126.2497 69.05484 1.83 0.068 -9.444013 261.9434 + house_energycommerce_m | -40.14305 46.18096 -0.87 0.385 -130.8893 50.60316 + house_foreignaffairs_m | 490.4263 142.9404 3.43 0.001 209.5465 771.3062 + house_governmentop_m | -82.09785 180.6388 -0.45 0.650 -437.0555 272.8598 + house_intelligence_m | -1457.825 366.7388 -3.98 0.000 -2178.472 -737.1783 + house_interior_m | -248.3904 167.3166 -1.48 0.138 -577.1698 80.38894 + house_judiciary_m | -80.31533 46.91087 -1.71 0.088 -172.4958 11.86515 + house_mmf_m | 58.2794 166.1816 0.35 0.726 -268.2697 384.8285 + house_pocs_m | 46.19137 190.5482 0.24 0.809 -328.2383 420.621 + house_pwt_m | -207.6944 110.8601 -1.87 0.062 -425.536 10.14729 + house_rules_m | 48.69117 124.7689 0.39 0.697 -196.4814 293.8637 + house_sst_m | -253.0269 299.8239 -0.84 0.399 -842.1848 336.131 + house_smallbusi_m | 779.2981 375.0264 2.08 0.038 42.36625 1516.23 + house_soc_m | -1035.826 988.7733 -1.05 0.295 -2978.779 907.127 + house_veterans_m | 248.8086 115.9366 2.15 0.032 20.99151 476.6256 + house_waysandmeans_m | -21.14063 37.97505 -0.56 0.578 -95.76212 53.48085 +house_naturalresources_m | -224.1364 136.4172 -1.64 0.101 -492.1979 43.92515 + house_bfs_m | -619.6478 58.90253 -10.52 0.000 -735.3921 -503.9035 + house_eeo_m | -64.79789 84.89422 -0.76 0.446 -231.6162 102.0204 + house_govreform_m | -104.2794 83.8437 -1.24 0.214 -269.0334 60.47463 + house_ir_m | 368.0171 110.3699 3.33 0.001 151.1388 584.8955 + house_natsecur_m | -211.6311 152.1963 -1.39 0.165 -510.6989 87.43669 + house_oversight_m | -355.9267 78.58224 -4.53 0.000 -510.3418 -201.5115 + house_resources_m | -151.9518 70.12813 -2.17 0.031 -289.7545 -14.14907 + house_science_m | 511.68 226.6085 2.26 0.024 66.39128 956.9688 + house_transp_m | -310.3051 94.67595 -3.28 0.001 -496.3446 -124.2656 + house_homeland_m | 404.9175 207.6788 1.95 0.052 -3.174187 813.0093 + _cons | 260.142 43.52341 5.98 0.000 174.6179 345.6661 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,952 1 0 1 1 +(4,877 missing values generated) +(4,877 missing values generated) +(4,877 missing values generated) +(4,877 missing values generated) +(4,877 missing values generated) +(4,877 missing values generated) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(4,859 observations deleted) +(18 missing values generated) +(0 real changes made) +(0 real changes made) +(17 missing values generated) +(0 real changes made) +(0 real changes made) +(18 missing values generated) +(0 real changes made) +(0 real changes made) +(15 missing values generated) +(3 real changes made) +(1 real change made) +(16 missing values generated) +(1 real change made) +(0 real changes made) +(5 real changes made) +(5 real changes made) +(5 real changes made) +file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/TableD1_ReactiveCooperativeness_RDIPW_nbills_cosponsored.xlsx sav +> ed + + +j = 1 k = 1 + + +rdbwselect_2014 pctbills_cosponsored_opp cosp_MV1_female if tag_cosponsor==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 907 +----------------------+---------------------- NN matches = 3 + Number of obs | 507 400 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of cosp_MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 23.40392 43.8746 .5334274 +---------------------------------------------- +reg pctbills_cosponsored_opp cosponsor_female i.v2 house_* democrat rookie tenure_run age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate region_NE region +> _MW region_WE pct_b pct_u pct_f pct_a lninc lnpden if tag_cosponsor==1, robust cluster(cosponsor_v1_fix) + +Linear regression Number of obs = 4,747 + F(66, 1080) = 24.66 + Prob > F = 0.0000 + R-squared = 0.2719 + Root MSE = 14.268 + + (Std. Err. adjusted for 1,081 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust +pctbills_cosponsored_opp | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | .2891358 .9429437 0.31 0.759 -1.561073 2.139345 + | + v2 | + 102 | -6.735145 1.109804 -6.07 0.000 -8.912762 -4.557529 + 103 | -6.644054 2.159864 -3.08 0.002 -10.88206 -2.40605 + 104 | -9.430562 4.926993 -1.91 0.056 -19.09812 .2370011 + 105 | -13.17139 4.126019 -3.19 0.001 -21.26731 -5.075466 + 106 | -14.51327 4.031447 -3.60 0.000 -22.42362 -6.602914 + 107 | -19.03417 4.069486 -4.68 0.000 -27.01917 -11.04917 + 108 | -37.98022 5.888333 -6.45 0.000 -49.53409 -26.42635 + 109 | -43.15003 6.055673 -7.13 0.000 -55.03224 -31.26781 + 110 | -37.41061 5.966769 -6.27 0.000 -49.11838 -25.70284 + 111 | -40.74768 5.985858 -6.81 0.000 -52.49291 -29.00245 + | + house_administration_m | 66.68981 16.63987 4.01 0.000 34.03967 99.33996 + house_agriculture_m | 28.27601 14.00966 2.02 0.044 .7867812 55.76524 + house_appropriations_m | 63.65077 8.003427 7.95 0.000 47.94674 79.3548 + house_armedservices_m | 62.87516 11.7908 5.33 0.000 39.73969 86.01064 + house_budget_m | -57.40492 24.4137 -2.35 0.019 -105.3086 -9.501261 + house_dc_m | 179.6143 143.2409 1.25 0.210 -101.4477 460.6763 + house_educlabor_m | -38.49884 8.616275 -4.47 0.000 -55.40538 -21.5923 + house_energycommerce_m | 50.7339 5.743509 8.83 0.000 39.4642 62.00361 + house_foreignaffairs_m | -90.74956 19.08601 -4.75 0.000 -128.1994 -53.2997 + house_governmentop_m | 183.2114 22.01332 8.32 0.000 140.0177 226.4052 + house_intelligence_m | -130.4345 45.92013 -2.84 0.005 -220.5373 -40.33175 + house_interior_m | -35.3143 23.17517 -1.52 0.128 -80.78777 10.15916 + house_judiciary_m | 6.88861 6.737509 1.02 0.307 -6.331479 20.1087 + house_mmf_m | 82.33274 23.23823 3.54 0.000 36.73555 127.9299 + house_pocs_m | -32.34522 21.51843 -1.50 0.133 -74.56788 9.87744 + house_pwt_m | 4.178013 21.61516 0.19 0.847 -38.23445 46.59048 + house_rules_m | -77.71344 23.93292 -3.25 0.001 -124.6737 -30.75316 + house_sst_m | -221.7014 36.98275 -5.99 0.000 -294.2676 -149.1352 + house_smallbusi_m | -61.96762 32.1053 -1.93 0.054 -124.9634 1.028213 + house_soc_m | 510.5015 136.9551 3.73 0.000 241.7734 779.2296 + house_veterans_m | 62.93426 12.26261 5.13 0.000 38.87302 86.99551 + house_waysandmeans_m | 50.97008 6.28952 8.10 0.000 38.62902 63.31115 +house_naturalresources_m | -57.4292 23.36718 -2.46 0.014 -103.2794 -11.57899 + house_bfs_m | 45.65077 8.934749 5.11 0.000 28.11934 63.18221 + house_eeo_m | -111.8437 14.26002 -7.84 0.000 -139.8241 -83.86319 + house_govreform_m | 40.7446 10.42137 3.91 0.000 20.29618 61.19302 + house_ir_m | 43.55956 14.52211 3.00 0.003 15.06482 72.05429 + house_natsecur_m | 48.01824 25.66158 1.87 0.062 -2.333964 98.37044 + house_oversight_m | 68.95505 19.14398 3.60 0.000 31.39145 106.5187 + house_resources_m | 21.95707 14.25008 1.54 0.124 -6.003907 49.91804 + house_science_m | 198.882 23.4103 8.50 0.000 152.9472 244.8169 + house_transp_m | 57.56424 12.88109 4.47 0.000 32.28944 82.83904 + house_homeland_m | 36.2239 25.68547 1.41 0.159 -14.17519 86.62298 + democrat | 2.677754 1.316348 2.03 0.042 .0948637 5.260644 + rookie | -3.218906 .6713622 -4.79 0.000 -4.536228 -1.901584 + tenure_run | .0825307 .1152722 0.72 0.474 -.1436522 .3087136 + age | .0179544 .0382328 0.47 0.639 -.0570646 .0929733 + leader | 1.505589 1.072645 1.40 0.161 -.5991166 3.610294 + ivycoll | .6997288 .9440195 0.74 0.459 -1.152591 2.552049 + black | -.7480844 1.407665 -0.53 0.595 -3.510153 2.013984 + occ0 | -.1868643 .944104 -0.20 0.843 -2.03935 1.665622 + occ1 | .2462845 1.279994 0.19 0.847 -2.265272 2.757841 + occ2 | 1.192713 .921227 1.29 0.196 -.6148849 3.00031 + occ3 | -.6503919 1.314921 -0.49 0.621 -3.230482 1.929698 + occ4 | .0394135 .9609429 0.04 0.967 -1.846113 1.92494 + borninstate | .2469368 .6207738 0.40 0.691 -.9711225 1.464996 + region_NE | 2.391988 1.016421 2.35 0.019 .3976037 4.386372 + region_MW | .7910234 .9178013 0.86 0.389 -1.009852 2.591899 + region_WE | -1.935679 1.058544 -1.83 0.068 -4.012715 .1413578 + pct_b | 1.175614 3.18444 0.37 0.712 -5.072775 7.424004 + pct_u | 5.544045 2.017767 2.75 0.006 1.584857 9.503232 + pct_f | 10.34398 5.233321 1.98 0.048 .0753476 20.61261 + pct_a | 10.9699 8.498591 1.29 0.197 -5.705725 27.64552 + lninc | -.6781335 1.636855 -0.41 0.679 -3.889909 2.533642 + lnpden | -1.264486 .2956015 -4.28 0.000 -1.844505 -.6844679 + _cons | .8109557 17.97773 0.05 0.964 -34.46428 36.08619 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,747 1 0 1 1 + + +j = 1 k = 2 + + +rdbwselect_2014 pctbills_cosponsored_opp cosp_MV1_female if cosponsor_party==100 & tag_cosponsor==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 449 +----------------------+---------------------- NN matches = 3 + Number of obs | 179 270 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of cosp_MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 25.54053 45.13424 .5658793 +---------------------------------------------- +reg pctbills_cosponsored_opp cosponsor_female i.v2 house_* democrat rookie tenure_run age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate region_NE region +> _MW region_WE pct_b pct_u pct_f pct_a lninc lnpden if cosponsor_party==100 & tag_cosponsor==1, robust cluster(cosponsor_v1_fix) +note: democrat omitted because of collinearity + +Linear regression Number of obs = 2,495 + F(65, 581) = 146.02 + Prob > F = 0.0000 + R-squared = 0.8490 + Root MSE = 6.2886 + + (Std. Err. adjusted for 582 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust +pctbills_cosponsored_opp | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | -1.244711 .5599066 -2.22 0.027 -2.344399 -.1450235 + | + v2 | + 102 | -1.958677 .6294198 -3.11 0.002 -3.194892 -.7224612 + 103 | -.081303 1.360734 -0.06 0.952 -2.753861 2.591255 + 104 | 39.61499 3.167712 12.51 0.000 33.39342 45.83655 + 105 | 29.09494 2.585329 11.25 0.000 24.01721 34.17267 + 106 | 32.66914 2.470096 13.23 0.000 27.81773 37.52054 + 107 | 29.45716 2.541842 11.59 0.000 24.46485 34.44948 + 108 | 31.59727 3.569179 8.85 0.000 24.5872 38.60733 + 109 | 37.38719 3.692219 10.13 0.000 30.13547 44.63891 + 110 | -.9587663 3.545834 -0.27 0.787 -7.922982 6.005449 + 111 | -3.479108 3.549959 -0.98 0.327 -10.45142 3.493208 + | + house_administration_m | -.0146433 10.79091 -0.00 0.999 -21.2086 21.17931 + house_agriculture_m | -19.92071 9.165212 -2.17 0.030 -37.9217 -1.919729 + house_appropriations_m | 89.51331 10.39176 8.61 0.000 69.10332 109.9233 + house_armedservices_m | 18.17735 8.493505 2.14 0.033 1.495636 34.85906 + house_budget_m | 128.8366 23.6016 5.46 0.000 82.48177 175.1915 + house_dc_m | 92.46025 79.26061 1.17 0.244 -63.21198 248.1325 + house_educlabor_m | -48.66143 5.41229 -8.99 0.000 -59.29146 -38.03139 + house_energycommerce_m | -23.74549 3.917533 -6.06 0.000 -31.43974 -16.05123 + house_foreignaffairs_m | -.822907 7.518843 -0.11 0.913 -15.59033 13.94452 + house_governmentop_m | 43.01431 19.16426 2.24 0.025 5.374647 80.65398 + house_intelligence_m | -53.74134 42.41703 -1.27 0.206 -137.0507 29.56806 + house_interior_m | -11.70655 12.91476 -0.91 0.365 -37.07186 13.65876 + house_judiciary_m | 9.642476 6.135965 1.57 0.117 -2.408898 21.69385 + house_mmf_m | 8.123018 10.69677 0.76 0.448 -12.88604 29.13207 + house_pocs_m | 18.79861 10.86552 1.73 0.084 -2.541868 40.13908 + house_pwt_m | -22.11561 11.86212 -1.86 0.063 -45.41348 1.182258 + house_rules_m | -.5238211 18.33915 -0.03 0.977 -36.54292 35.49528 + house_sst_m | -38.78877 19.65281 -1.97 0.049 -77.38798 -.1895634 + house_smallbusi_m | -20.18705 15.24511 -1.32 0.186 -50.1293 9.755186 + house_soc_m | -224.3122 86.52266 -2.59 0.010 -394.2475 -54.3769 + house_veterans_m | -20.027 7.648636 -2.62 0.009 -35.04935 -5.004659 + house_waysandmeans_m | 4.837745 3.8519 1.26 0.210 -2.727599 12.40309 +house_naturalresources_m | -30.8251 9.723412 -3.17 0.002 -49.92242 -11.72778 + house_bfs_m | -20.52001 5.688343 -3.61 0.000 -31.69223 -9.347789 + house_eeo_m | -111.4649 15.38873 -7.24 0.000 -141.6893 -81.24063 + house_govreform_m | -49.39878 11.85046 -4.17 0.000 -72.67374 -26.12382 + house_ir_m | -68.08922 13.48239 -5.05 0.000 -94.56938 -41.60906 + house_natsecur_m | 31.90478 17.85019 1.79 0.074 -3.153982 66.96354 + house_oversight_m | 45.3078 12.45062 3.64 0.000 20.85409 69.76151 + house_resources_m | -28.39027 12.4171 -2.29 0.023 -52.77815 -4.002392 + house_science_m | 26.82828 17.40627 1.54 0.124 -7.358593 61.01515 + house_transp_m | 21.61057 9.43682 2.29 0.022 3.076135 40.14501 + house_homeland_m | -22.42123 14.70911 -1.52 0.128 -51.31074 6.468281 + democrat | 0 (omitted) + rookie | -.5474751 .419139 -1.31 0.192 -1.370687 .2757371 + tenure_run | -.111253 .0819711 -1.36 0.175 -.2722487 .0497427 + age | .0120406 .0285859 0.42 0.674 -.0441036 .0681849 + leader | -.222595 .7044068 -0.32 0.752 -1.606089 1.160899 + ivycoll | .1286838 .5942771 0.22 0.829 -1.038509 1.295877 + black | -3.685448 1.036695 -3.55 0.000 -5.721575 -1.649321 + occ0 | .1642128 .7513737 0.22 0.827 -1.311527 1.639952 + occ1 | -.1047427 .8259866 -0.13 0.899 -1.727026 1.517541 + occ2 | .489228 .6426382 0.76 0.447 -.7729491 1.751405 + occ3 | .6991184 1.068257 0.65 0.513 -1.398998 2.797235 + occ4 | 1.186212 .9980859 1.19 0.235 -.7740844 3.146508 + borninstate | .591975 .4834545 1.22 0.221 -.3575563 1.541506 + region_NE | -2.544571 .6714047 -3.79 0.000 -3.863247 -1.225895 + region_MW | -2.970754 .7006004 -4.24 0.000 -4.346772 -1.594736 + region_WE | -2.701479 .8138619 -3.32 0.001 -4.299949 -1.10301 + pct_b | -1.072084 2.231963 -0.48 0.631 -5.455784 3.311616 + pct_u | -5.751283 1.46575 -3.92 0.000 -8.630097 -2.872469 + pct_f | -7.958508 2.868479 -2.77 0.006 -13.59236 -2.324657 + pct_a | -.2532446 5.72585 -0.04 0.965 -11.49913 10.99264 + lninc | -.4281928 1.160381 -0.37 0.712 -2.707245 1.85086 + lnpden | .1358573 .1807258 0.75 0.453 -.2190981 .4908128 + _cons | 40.16461 12.22973 3.28 0.001 16.14475 64.18448 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,495 1 0 1 1 + + +j = 1 k = 3 + + +rdbwselect_2014 pctbills_cosponsored_opp cosp_MV1_female if cosponsor_party==200 & tag_cosponsor==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 458 +----------------------+---------------------- NN matches = 3 + Number of obs | 328 130 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of cosp_MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 17.82571 28.60263 .6232193 +---------------------------------------------- +reg pctbills_cosponsored_opp cosponsor_female i.v2 house_* democrat rookie tenure_run age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate region_NE region +> _MW region_WE pct_b pct_u pct_f pct_a lninc lnpden if cosponsor_party==200 & tag_cosponsor==1, robust cluster(cosponsor_v1_fix) +note: democrat omitted because of collinearity + +Linear regression Number of obs = 2,243 + F(65, 509) = 225.65 + Prob > F = 0.0000 + R-squared = 0.8793 + Root MSE = 6.0647 + + (Std. Err. adjusted for 510 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust +pctbills_cosponsored_opp | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | 1.32403 .8717022 1.52 0.129 -.3885471 3.036607 + | + v2 | + 102 | 6.162624 .9265142 6.65 0.000 4.342362 7.982887 + 103 | 4.140828 1.7521 2.36 0.018 .6985891 7.583067 + 104 | -33.8825 3.012672 -11.25 0.000 -39.80131 -27.9637 + 105 | -34.83063 2.547747 -13.67 0.000 -39.83603 -29.82524 + 106 | -38.5389 2.394116 -16.10 0.000 -43.24246 -33.83533 + 107 | -37.23836 2.44127 -15.25 0.000 -42.03456 -32.44215 + 108 | -42.70866 3.975291 -10.74 0.000 -50.51865 -34.89866 + 109 | -47.89347 4.019731 -11.91 0.000 -55.79077 -39.99616 + 110 | -2.878925 4.168485 -0.69 0.490 -11.06848 5.310629 + 111 | -2.255175 4.274168 -0.53 0.598 -10.65236 6.142008 + | + house_administration_m | -31.73889 11.17066 -2.84 0.005 -53.68516 -9.792625 + house_agriculture_m | 17.03288 7.608499 2.24 0.026 2.084952 31.98081 + house_appropriations_m | -70.81174 4.641825 -15.26 0.000 -79.93123 -61.69224 + house_armedservices_m | -18.17844 7.910954 -2.30 0.022 -33.72058 -2.636298 + house_budget_m | -33.41956 12.19716 -2.74 0.006 -57.38255 -9.456583 + house_dc_m | -162.5238 84.92658 -1.91 0.056 -329.3736 4.326003 + house_educlabor_m | -4.975611 5.88465 -0.85 0.398 -16.5368 6.585581 + house_energycommerce_m | 26.50217 3.56714 7.43 0.000 19.49404 33.5103 + house_foreignaffairs_m | -12.70655 10.96682 -1.16 0.247 -34.25235 8.839261 + house_governmentop_m | -23.25641 13.57709 -1.71 0.087 -49.93044 3.41763 + house_intelligence_m | -89.69083 30.59077 -2.93 0.004 -149.7906 -29.59111 + house_interior_m | -43.1515 19.83783 -2.18 0.030 -82.12561 -4.177394 + house_judiciary_m | -42.34281 4.13946 -10.23 0.000 -50.47534 -34.21028 + house_mmf_m | 34.02106 11.16268 3.05 0.002 12.09046 55.95166 + house_pocs_m | 43.8327 15.35285 2.86 0.004 13.66995 73.99545 + house_pwt_m | -8.368247 11.46613 -0.73 0.466 -30.89501 14.15852 + house_rules_m | -94.16119 12.40327 -7.59 0.000 -118.5291 -69.79328 + house_sst_m | .8684701 29.30851 0.03 0.976 -56.71206 58.449 + house_smallbusi_m | 31.15963 24.65966 1.26 0.207 -17.28761 79.60687 + house_soc_m | 111.6178 126.4645 0.88 0.378 -136.8388 360.0744 + house_veterans_m | 20.17472 8.655976 2.33 0.020 3.168877 37.18055 + house_waysandmeans_m | -16.20117 3.489437 -4.64 0.000 -23.05664 -9.345698 +house_naturalresources_m | -68.72112 15.53512 -4.42 0.000 -99.24197 -38.20028 + house_bfs_m | 3.155139 5.529056 0.57 0.568 -7.70744 14.01772 + house_eeo_m | -21.82193 7.30188 -2.99 0.003 -36.16746 -7.476396 + house_govreform_m | 24.67002 5.746101 4.29 0.000 13.38103 35.95902 + house_ir_m | 44.04249 7.888885 5.58 0.000 28.5437 59.54127 + house_natsecur_m | -1.931093 12.79053 -0.15 0.880 -27.05982 23.19764 + house_oversight_m | -55.25841 10.09362 -5.47 0.000 -75.08869 -35.42813 + house_resources_m | -11.08019 6.929448 -1.60 0.110 -24.69403 2.533649 + house_science_m | 33.64706 13.63392 2.47 0.014 6.861384 60.43274 + house_transp_m | 23.36957 7.665441 3.05 0.002 8.309775 38.42937 + house_homeland_m | 7.927664 14.46801 0.55 0.584 -20.49669 36.35202 + democrat | 0 (omitted) + rookie | -.3030036 .4219909 -0.72 0.473 -1.132062 .5260546 + tenure_run | .3124396 .079027 3.95 0.000 .1571804 .4676988 + age | -.01854 .0255359 -0.73 0.468 -.0687088 .0316288 + leader | .1486395 .6204226 0.24 0.811 -1.070265 1.367544 + ivycoll | .0976161 .8113275 0.12 0.904 -1.496347 1.691579 + black | 1.583785 3.292696 0.48 0.631 -4.885162 8.052732 + occ0 | .2911836 .6422373 0.45 0.650 -.9705786 1.552946 + occ1 | .7528992 1.197285 0.63 0.530 -1.59933 3.105128 + occ2 | .8950979 .6216756 1.44 0.151 -.3262681 2.116464 + occ3 | -1.080771 .8457679 -1.28 0.202 -2.742397 .5808546 + occ4 | .3463823 .5789113 0.60 0.550 -.7909675 1.483732 + borninstate | -.5000858 .4405794 -1.14 0.257 -1.365664 .3654921 + region_NE | 5.055041 .9388112 5.38 0.000 3.210619 6.899463 + region_MW | 2.066482 .6293974 3.28 0.001 .8299451 3.303018 + region_WE | .3276547 .8192164 0.40 0.689 -1.281807 1.937116 + pct_b | 8.38087 2.943642 2.85 0.005 2.597687 14.16405 + pct_u | 2.0753 1.444108 1.44 0.151 -.7618469 4.912446 + pct_f | 12.5281 3.740998 3.35 0.001 5.178403 19.8778 + pct_a | 13.82844 5.777542 2.39 0.017 2.477678 25.17921 + lninc | .9714667 1.978843 0.49 0.624 -2.916238 4.859171 + lnpden | -.3653832 .2234484 -1.64 0.103 -.8043778 .0736115 + _cons | 44.30165 20.04876 2.21 0.028 4.913151 83.69016 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,243 1 0 1 1 + + +j = 2 k = 1 + + +rdbwselect_2014 pctbills_cosponsored_opp cosp_MV1_female if tag_cosponsor==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 907 +----------------------+---------------------- NN matches = 3 + Number of obs | 507 400 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of cosp_MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 23.40392 43.8746 .5334274 +---------------------------------------------- +reg pctbills_cosponsored_opp cosponsor_female if tag_cosponsor==1 & sample==1 & abs(cosp_MV1_female)<=23.40391508112141, robust cluster(cosponsor_v1_fix) + +Linear regression Number of obs = 378 + F(13, 263) = 0.91 + Prob > F = 0.5469 + R-squared = 0.0399 + Root MSE = 16.83 + + (Std. Err. adjusted for 264 clusters in cosponsor_v1_fix) +---------------------------------------------------------------------------------------- + | Robust +pctbills_cosponsored~p | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + cosponsor_female | -2.205593 3.85712 -0.57 0.568 -9.800359 5.389173 + | + v2 | + 102 | 5.869027 5.297043 1.11 0.269 -4.560984 16.29904 + 103 | .8672649 3.93574 0.22 0.826 -6.882306 8.616835 + 104 | 1.203494 5.144825 0.23 0.815 -8.926794 11.33378 + 105 | -1.053346 4.458503 -0.24 0.813 -9.832249 7.725557 + 106 | -4.426365 4.453158 -0.99 0.321 -13.19474 4.342015 + 107 | -1.391145 4.544528 -0.31 0.760 -10.33943 7.557144 + 108 | -2.836913 4.52932 -0.63 0.532 -11.75526 6.081431 + 109 | -6.614009 4.992651 -1.32 0.186 -16.44466 3.216647 + 110 | 2.437494 4.903113 0.50 0.620 -7.216857 12.09185 + 111 | 2.947983 5.035206 0.59 0.559 -6.966462 12.86243 + | + cosp_MV1_female | .0213845 .1625828 0.13 0.895 -.2987452 .3415142 +femaleXcosp_MV1_female | .0486689 .2761365 0.18 0.860 -.4950507 .5923885 + _cons | 29.4522 4.677926 6.30 0.000 20.24125 38.66315 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 378 1 0 1 1 + + +j = 2 k = 2 + + +rdbwselect_2014 pctbills_cosponsored_opp cosp_MV1_female if cosponsor_party==100 & tag_cosponsor==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 449 +----------------------+---------------------- NN matches = 3 + Number of obs | 179 270 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of cosp_MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 25.54053 45.13424 .5658793 +---------------------------------------------- +reg pctbills_cosponsored_opp cosponsor_female if cosponsor_party==100 & tag_cosponsor==1 & sample==1 & abs(cosp_MV1_female)<=25.54053403157772, robust cluster(cospo +> nsor_v1_fix) + +Linear regression Number of obs = 169 + F(13, 117) = 49.22 + Prob > F = 0.0000 + R-squared = 0.7614 + Root MSE = 7.9275 + + (Std. Err. adjusted for 118 clusters in cosponsor_v1_fix) +---------------------------------------------------------------------------------------- + | Robust +pctbills_cosponsored~p | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + cosponsor_female | -2.038897 2.60947 -0.78 0.436 -7.206816 3.129023 + | + v2 | + 102 | -2.103893 2.1179 -0.99 0.323 -6.298284 2.090498 + 103 | 1.686634 2.277775 0.74 0.460 -2.824381 6.197649 + 104 | 29.57762 3.260996 9.07 0.000 23.11939 36.03585 + 105 | 19.99136 3.123221 6.40 0.000 13.80599 26.17674 + 106 | 20.31421 2.585215 7.86 0.000 15.19433 25.43409 + 107 | 22.35417 2.629525 8.50 0.000 17.14653 27.5618 + 108 | 17.92722 2.967129 6.04 0.000 12.05097 23.80346 + 109 | 26.47169 4.055002 6.53 0.000 18.44097 34.50241 + 110 | -8.78867 2.499963 -3.52 0.001 -13.73971 -3.837624 + 111 | -6.163684 2.476668 -2.49 0.014 -11.06859 -1.258773 + | + cosp_MV1_female | .1466568 .1342833 1.09 0.277 -.1192843 .4125979 +femaleXcosp_MV1_female | -.4323076 .166561 -2.60 0.011 -.7621729 -.1024424 + _cons | 22.55994 3.120466 7.23 0.000 16.38002 28.73986 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 169 1 0 1 1 + + +j = 2 k = 3 + + +rdbwselect_2014 pctbills_cosponsored_opp cosp_MV1_female if cosponsor_party==200 & tag_cosponsor==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 458 +----------------------+---------------------- NN matches = 3 + Number of obs | 328 130 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of cosp_MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 17.82571 28.60263 .6232193 +---------------------------------------------- +reg pctbills_cosponsored_opp cosponsor_female if cosponsor_party==200 & tag_cosponsor==1 & sample==1 & abs(cosp_MV1_female)<=17.82570982211885, robust cluster(cospo +> nsor_v1_fix) + +Linear regression Number of obs = 154 + F(13, 114) = 32.50 + Prob > F = 0.0000 + R-squared = 0.7195 + Root MSE = 9.3866 + + (Std. Err. adjusted for 115 clusters in cosponsor_v1_fix) +---------------------------------------------------------------------------------------- + | Robust +pctbills_cosponsored~p | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + cosponsor_female | 4.147382 4.49759 0.92 0.358 -4.762309 13.05707 + | + v2 | + 102 | 5.171657 5.762577 0.90 0.371 -6.243965 16.58728 + 103 | -9.590855 3.854083 -2.49 0.014 -17.22576 -1.955947 + 104 | -33.21337 3.654554 -9.09 0.000 -40.45301 -25.97372 + 105 | -32.5754 3.939521 -8.27 0.000 -40.37956 -24.77124 + 106 | -28.93964 3.80241 -7.61 0.000 -36.47219 -21.4071 + 107 | -26.27645 4.301389 -6.11 0.000 -34.79747 -17.75543 + 108 | -25.08025 4.900965 -5.12 0.000 -34.78903 -15.37148 + 109 | -33.42051 3.833526 -8.72 0.000 -41.01469 -25.82632 + 110 | -.8194265 4.577211 -0.18 0.858 -9.886847 8.247994 + 111 | .5263962 4.959173 0.11 0.916 -9.297688 10.35048 + | + cosp_MV1_female | .0177575 .1772511 0.10 0.920 -.3333755 .3688906 +femaleXcosp_MV1_female | -.3367526 .4203467 -0.80 0.425 -1.169456 .495951 + _cons | 44.81419 4.044155 11.08 0.000 36.80275 52.82563 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 154 1 0 1 1 + + +j = 3 k = 1 + + +rdbwselect_2014 pctbills_cosponsored_opp cosp_MV1_female if tag_cosponsor==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 907 +----------------------+---------------------- NN matches = 3 + Number of obs | 507 400 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of cosp_MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 23.40392 43.8746 .5334274 +---------------------------------------------- +(option pr assumed; Pr(cosponsor_female)) +(3,994 missing values generated) +(4,486 missing values generated) +(492 real changes made) +reg pctbills_cosponsored_opp cosponsor_female i.v2 cosp_MV1_female femaleXcosp_MV1_female [aw=wt] if tag_cosponsor==1 & sample==1 & abs(cosp_MV1_female)<=23.4039150 +> 8112141, robust cluster(cosponsor_v1_fix) +(sum of wgt is 752.5781360864639) + +Linear regression Number of obs = 378 + F(46, 263) = 6.32 + Prob > F = 0.0000 + R-squared = 0.3114 + Root MSE = 14.722 + + (Std. Err. adjusted for 264 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust +pctbills_cosponsored_opp | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | .5805647 3.726943 0.16 0.876 -6.757878 7.919008 + | + v2 | + 102 | -1.46718 5.292301 -0.28 0.782 -11.88785 8.953493 + 103 | -10.11904 8.852086 -1.14 0.254 -27.54902 7.310938 + 104 | -33.1061 20.49591 -1.62 0.107 -73.46306 7.250864 + 105 | -30.56907 16.88617 -1.81 0.071 -63.81836 2.680216 + 106 | -33.20431 15.87772 -2.09 0.037 -64.46795 -1.940675 + 107 | -37.94166 16.14353 -2.35 0.019 -69.72868 -6.154644 + 108 | -35.89112 15.43224 -2.33 0.021 -66.27759 -5.50466 + 109 | -41.86407 16.1069 -2.60 0.010 -73.57895 -10.14918 + 110 | -32.18129 16.8037 -1.92 0.057 -65.26819 .9056092 + 111 | -30.75425 17.11679 -1.80 0.074 -64.45764 2.949133 + | + cosp_MV1_female | -.0881094 .1650582 -0.53 0.594 -.4131131 .2368943 + femaleXcosp_MV1_female | -.0354203 .2569756 -0.14 0.890 -.5414118 .4705711 + house_administration_m | -93.63898 81.73996 -1.15 0.253 -254.587 67.30904 + house_agriculture_m | 31.05282 59.34299 0.52 0.601 -85.79501 147.9006 + house_appropriations_m | 90.52887 46.63884 1.94 0.053 -1.304177 182.3619 + house_armedservices_m | 41.41722 47.80578 0.87 0.387 -52.71357 135.548 + house_budget_m | -222.4797 125.7031 -1.77 0.078 -469.9922 25.03274 + house_dc_m | -634.1451 485.7921 -1.31 0.193 -1590.682 322.3917 + house_educlabor_m | -70.12011 21.61942 -3.24 0.001 -112.6893 -27.55093 + house_energycommerce_m | 100.4691 24.58677 4.09 0.000 52.05712 148.8811 + house_foreignaffairs_m | -54.99901 65.07445 -0.85 0.399 -183.1322 73.13421 + house_governmentop_m | 121.1256 80.84977 1.50 0.135 -38.06963 280.3208 + house_intelligence_m | 44.9951 199.044 0.23 0.821 -346.9276 436.9178 + house_interior_m | -135.6039 153.0714 -0.89 0.376 -437.0053 165.7975 + house_judiciary_m | 4.794357 22.2218 0.22 0.829 -38.96092 48.54963 + house_mmf_m | 16.77872 89.53278 0.19 0.851 -159.5136 193.071 + house_pocs_m | 30.25285 107.5704 0.28 0.779 -181.556 242.0617 + house_pwt_m | 46.44539 95.61242 0.49 0.628 -141.8179 234.7086 + house_rules_m | -51.62332 70.27626 -0.73 0.463 -189.999 86.75238 + house_sst_m | -427.8602 89.5862 -4.78 0.000 -604.2577 -251.4627 + house_smallbusi_m | 65.17106 109.3526 0.60 0.552 -150.147 280.4891 + house_soc_m | 136.3795 490.7699 0.28 0.781 -829.9587 1102.718 + house_veterans_m | 43.716 42.08054 1.04 0.300 -39.14163 126.5736 + house_waysandmeans_m | 19.11739 17.37337 1.10 0.272 -15.0912 53.32598 +house_naturalresources_m | 54.04774 62.0866 0.87 0.385 -68.20232 176.2978 + house_bfs_m | 50.9578 22.97762 2.22 0.027 5.714296 96.20131 + house_eeo_m | -98.18767 83.82944 -1.17 0.243 -263.2499 66.8746 + house_govreform_m | 77.33155 51.19138 1.51 0.132 -23.46555 178.1286 + house_ir_m | 86.68965 53.54576 1.62 0.107 -18.7433 192.1226 + house_natsecur_m | -10.96395 73.5554 -0.15 0.882 -155.7964 133.8685 + house_oversight_m | 31.9479 79.32593 0.40 0.687 -124.2468 188.1426 + house_resources_m | 32.93553 41.81102 0.79 0.432 -49.39142 115.2625 + house_science_m | 212.87 71.08146 2.99 0.003 72.90885 352.8312 + house_transp_m | 98.90135 46.68747 2.12 0.035 6.972555 190.8301 + house_homeland_m | 23.13015 70.30437 0.33 0.742 -115.3009 161.5612 + _cons | 12.10981 18.72309 0.65 0.518 -24.75644 48.97605 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 378 1 0 1 1 + + +j = 3 k = 2 + + +rdbwselect_2014 pctbills_cosponsored_opp cosp_MV1_female if cosponsor_party==100 & tag_cosponsor==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 449 +----------------------+---------------------- NN matches = 3 + Number of obs | 179 270 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of cosp_MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 25.54053 45.13424 .5658793 +---------------------------------------------- +(option pr assumed; Pr(cosponsor_female)) +(4,435 missing values generated) +(4,608 missing values generated) +(173 real changes made) +reg pctbills_cosponsored_opp cosponsor_female i.v2 cosp_MV1_female femaleXcosp_MV1_female [aw=wt] if cosponsor_party==100 & tag_cosponsor==1 & sample==1 & abs(cosp_ +> MV1_female)<=25.54053403157772, robust cluster(cosponsor_v1_fix) +(sum of wgt is 404.8162603378296) + +Linear regression Number of obs = 169 + F(46, 117) = 80.35 + Prob > F = 0.0000 + R-squared = 0.9173 + Root MSE = 5.497 + + (Std. Err. adjusted for 118 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust +pctbills_cosponsored_opp | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | -.2961987 2.563067 -0.12 0.908 -5.372219 4.779821 + | + v2 | + 102 | -3.99477 3.124395 -1.28 0.204 -10.18247 2.19293 + 103 | 2.171025 5.905681 0.37 0.714 -9.524868 13.86692 + 104 | 43.8626 16.43062 2.67 0.009 11.32263 76.40257 + 105 | 30.156 12.75815 2.36 0.020 4.889154 55.42285 + 106 | 29.04842 10.76398 2.70 0.008 7.73092 50.36592 + 107 | 28.48234 10.99606 2.59 0.011 6.705226 50.25945 + 108 | 28.2758 11.13922 2.54 0.012 6.215157 50.33644 + 109 | 35.52618 10.98138 3.24 0.002 13.77812 57.27423 + 110 | -4.040816 10.43001 -0.39 0.699 -24.69691 16.61527 + 111 | -6.455944 9.936172 -0.65 0.517 -26.13401 13.22212 + | + cosp_MV1_female | .1927286 .1090684 1.77 0.080 -.0232757 .408733 + femaleXcosp_MV1_female | -.4058071 .1608287 -2.52 0.013 -.7243199 -.0872944 + house_administration_m | -31.75913 50.95928 -0.62 0.534 -132.6813 69.16306 + house_agriculture_m | 1.507086 31.34427 0.05 0.962 -60.56859 63.58276 + house_appropriations_m | 412.9253 164.0749 2.52 0.013 87.98365 737.867 + house_armedservices_m | 95.71741 28.82665 3.32 0.001 38.62774 152.8071 + house_budget_m | 135.3497 70.31309 1.92 0.057 -3.901654 274.6011 + house_dc_m | -122.196 262.8467 -0.46 0.643 -642.75 398.358 + house_educlabor_m | -71.66174 12.83603 -5.58 0.000 -97.08284 -46.24065 + house_energycommerce_m | .5184312 15.56572 0.03 0.973 -30.30865 31.34552 + house_foreignaffairs_m | 15.12283 35.11083 0.43 0.667 -54.41232 84.65799 + house_governmentop_m | 111.019 64.26502 1.73 0.087 -16.25447 238.2926 + house_intelligence_m | -43.1249 169.1192 -0.25 0.799 -378.0567 291.8069 + house_interior_m | -40.31575 104.9954 -0.38 0.702 -248.2537 167.6222 + house_judiciary_m | -25.12849 20.60487 -1.22 0.225 -65.93536 15.67838 + house_mmf_m | -27.74565 45.63093 -0.61 0.544 -118.1153 62.62401 + house_pocs_m | 33.93414 47.62115 0.71 0.478 -60.37706 128.2453 + house_pwt_m | -36.25532 48.9219 -0.74 0.460 -133.1426 60.63193 + house_rules_m | 90.59435 79.74269 1.14 0.258 -67.33186 248.5206 + house_sst_m | -67.59366 66.67707 -1.01 0.313 -199.6441 64.45679 + house_smallbusi_m | 15.73524 77.34559 0.20 0.839 -137.4436 168.9141 + house_soc_m | -355.3457 285.4191 -1.24 0.216 -920.6032 209.9118 + house_veterans_m | -68.1841 21.73114 -3.14 0.002 -111.2215 -25.14671 + house_waysandmeans_m | 25.92704 13.50886 1.92 0.057 -.8265483 52.68063 +house_naturalresources_m | -101.6968 46.29166 -2.20 0.030 -193.375 -10.01864 + house_bfs_m | 2.801416 17.16912 0.16 0.871 -31.20112 36.80395 + house_eeo_m | -132.2377 45.34981 -2.92 0.004 -222.0507 -42.42482 + house_govreform_m | -90.87497 42.64904 -2.13 0.035 -175.3392 -6.410785 + house_ir_m | -20.51787 41.20072 -0.50 0.619 -102.1137 61.07799 + house_natsecur_m | -16.28176 73.4899 -0.22 0.825 -161.8247 129.2611 + house_oversight_m | 50.60636 61.11688 0.83 0.409 -70.43242 171.6451 + house_resources_m | -44.51101 44.05839 -1.01 0.314 -131.7663 42.74431 + house_science_m | 6.618166 49.66179 0.13 0.894 -91.7344 104.9707 + house_transp_m | 54.5009 46.7048 1.17 0.246 -37.9955 146.9973 + house_homeland_m | -128.1931 123.3067 -1.04 0.301 -372.3956 116.0094 + _cons | 24.08245 12.62806 1.91 0.059 -.9267641 49.09167 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 169 1 0 1 1 + + +j = 3 k = 3 + + +rdbwselect_2014 pctbills_cosponsored_opp cosp_MV1_female if cosponsor_party==200 & tag_cosponsor==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 458 +----------------------+---------------------- NN matches = 3 + Number of obs | 328 130 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of cosp_MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 17.82571 28.60263 .6232193 +---------------------------------------------- +(option pr assumed; Pr(cosponsor_female)) +(4,436 missing values generated) +(4,755 missing values generated) +(319 real changes made) +reg pctbills_cosponsored_opp cosponsor_female i.v2 cosp_MV1_female femaleXcosp_MV1_female [aw=wt] if cosponsor_party==200 & tag_cosponsor==1 & sample==1 & abs(cosp_ +> MV1_female)<=17.82570982211885, robust cluster(cosponsor_v1_fix) +(sum of wgt is 270.2655016183853) + +Linear regression Number of obs = 154 + F(46, 114) = 98.61 + Prob > F = 0.0000 + R-squared = 0.9237 + Root MSE = 5.6126 + + (Std. Err. adjusted for 115 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust +pctbills_cosponsored_opp | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | -.6899305 2.59061 -0.27 0.790 -5.821908 4.442047 + | + v2 | + 102 | 14.88258 6.087804 2.44 0.016 2.822685 26.94247 + 103 | 4.736799 6.751236 0.70 0.484 -8.637349 18.11095 + 104 | -24.74804 13.10694 -1.89 0.062 -50.71278 1.216707 + 105 | -24.6931 12.0374 -2.05 0.043 -48.53911 -.8470965 + 106 | -35.21315 10.4693 -3.36 0.001 -55.95275 -14.47354 + 107 | -31.27327 10.97595 -2.85 0.005 -53.01654 -9.529989 + 108 | -32.55751 10.83254 -3.01 0.003 -54.01668 -11.09833 + 109 | -42.43082 10.63786 -3.99 0.000 -63.50435 -21.3573 + 110 | 21.90704 11.83106 1.85 0.067 -1.530199 45.34427 + 111 | 28.40641 12.0034 2.37 0.020 4.627771 52.18506 + | + cosp_MV1_female | -.1899427 .146481 -1.30 0.197 -.4801205 .1002351 + femaleXcosp_MV1_female | .3623165 .2571912 1.41 0.162 -.1471772 .8718102 + house_administration_m | -87.70338 52.23186 -1.68 0.096 -191.1743 15.76753 + house_agriculture_m | 15.65437 35.40253 0.44 0.659 -54.47777 85.78651 + house_appropriations_m | -86.07855 25.05373 -3.44 0.001 -135.7098 -36.44731 + house_armedservices_m | -19.23385 35.37179 -0.54 0.588 -89.3051 50.83741 + house_budget_m | -78.42937 80.20527 -0.98 0.330 -237.3154 80.45666 + house_dc_m | -434.5255 314.7807 -1.38 0.170 -1058.104 189.0526 + house_educlabor_m | 40.29747 27.04737 1.49 0.139 -13.28316 93.87811 + house_energycommerce_m | 44.68979 10.89016 4.10 0.000 23.11646 66.26311 + house_foreignaffairs_m | -7.844838 45.83492 -0.17 0.864 -98.64347 82.95379 + house_governmentop_m | -21.93746 47.41765 -0.46 0.645 -115.8715 71.99653 + house_intelligence_m | -208.7904 142.6719 -1.46 0.146 -491.4223 73.84157 + house_interior_m | -81.12882 52.8266 -1.54 0.127 -185.7779 23.52026 + house_judiciary_m | -65.43057 15.94884 -4.10 0.000 -97.0251 -33.83604 + house_mmf_m | 110.0636 64.28377 1.71 0.090 -17.28208 237.4092 + house_pocs_m | 72.43811 83.07469 0.87 0.385 -92.13221 237.0084 + house_pwt_m | -24.09082 75.12578 -0.32 0.749 -172.9144 124.7328 + house_rules_m | -74.67692 46.54218 -1.60 0.111 -166.8766 17.52278 + house_sst_m | 116.29 143.0163 0.81 0.418 -167.0241 399.6042 + house_smallbusi_m | 61.1184 96.22595 0.64 0.527 -129.5045 251.7413 + house_soc_m | 605.4402 279.9529 2.16 0.033 50.85562 1160.025 + house_veterans_m | -23.73664 39.32336 -0.60 0.547 -101.6359 54.16262 + house_waysandmeans_m | -36.29404 15.47926 -2.34 0.021 -66.95833 -5.629757 +house_naturalresources_m | -60.03631 53.15934 -1.13 0.261 -165.3445 45.27193 + house_bfs_m | 40.35393 20.42491 1.98 0.051 -.1076569 80.81552 + house_eeo_m | -9.271698 33.49105 -0.28 0.782 -75.61722 57.07382 + house_govreform_m | 59.56167 34.87865 1.71 0.090 -9.532678 128.656 + house_ir_m | 97.9531 32.82178 2.98 0.003 32.93341 162.9728 + house_natsecur_m | -76.64834 52.95639 -1.45 0.151 -181.5545 28.25787 + house_oversight_m | -207.5866 42.56881 -4.88 0.000 -291.9151 -123.2581 + house_resources_m | -9.670444 27.83637 -0.35 0.729 -64.81408 45.4732 + house_science_m | 26.42115 62.06851 0.43 0.671 -96.5361 149.3784 + house_transp_m | 28.041 32.1878 0.87 0.385 -35.72278 91.80478 + house_homeland_m | 54.47496 63.9336 0.85 0.396 -72.17701 181.1269 + _cons | 52.42382 15.62793 3.35 0.001 21.465 83.38263 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 154 1 0 1 1 + + +j = 4 k = 1 + + +rdbwselect_2014 pctbills_cosponsored_opp cosp_MV1_female if tag_cosponsor==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 907 +----------------------+---------------------- NN matches = 3 + Number of obs | 507 400 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of cosp_MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 23.40392 43.8746 .5334274 +---------------------------------------------- +(option pr assumed; Pr(cosponsor_female)) +(418 missing values generated) +(4,331 missing values generated) +(3,913 real changes made) +reg pctbills_cosponsored_opp cosponsor_female i.v2 [aw=wt] if tag_cosponsor==1, robust cluster(cosponsor_v1_fix) +(sum of wgt is 8,883.04598164558) + +Linear regression Number of obs = 4,447 + F(44, 1082) = 18.86 + Prob > F = 0.0000 + R-squared = 0.2717 + Root MSE = 14.748 + + (Std. Err. adjusted for 1,083 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust +pctbills_cosponsored_opp | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | -.0799262 1.279241 -0.06 0.950 -2.59 2.430147 + | + v2 | + 102 | -9.938354 2.596625 -3.83 0.000 -15.03334 -4.843364 + 103 | -12.53362 3.316801 -3.78 0.000 -19.04171 -6.02553 + 104 | -13.8663 9.186413 -1.51 0.131 -31.8915 4.158906 + 105 | -23.05764 8.132821 -2.84 0.005 -39.01552 -7.09975 + 106 | -22.81217 7.704049 -2.96 0.003 -37.92873 -7.6956 + 107 | -28.06936 7.610587 -3.69 0.000 -43.00254 -13.13618 + 108 | -27.47454 7.712721 -3.56 0.000 -42.60813 -12.34096 + 109 | -35.48419 7.948651 -4.46 0.000 -51.0807 -19.88767 + 110 | -27.47539 8.114588 -3.39 0.001 -43.3975 -11.55328 + 111 | -30.86677 8.395285 -3.68 0.000 -47.33965 -14.39389 + | + house_administration_m | 50.45218 33.22722 1.52 0.129 -14.7449 115.6493 + house_agriculture_m | 23.23719 20.60143 1.13 0.260 -17.18608 63.66046 + house_appropriations_m | 70.70219 13.476 5.25 0.000 44.26013 97.14425 + house_armedservices_m | 54.51373 20.76283 2.63 0.009 13.77376 95.25369 + house_budget_m | -71.88907 51.28696 -1.40 0.161 -172.5222 28.74409 + house_dc_m | 333.0372 347.6325 0.96 0.338 -349.073 1015.147 + house_educlabor_m | -23.67351 14.49354 -1.63 0.103 -52.11214 4.76512 + house_energycommerce_m | 67.47631 9.962665 6.77 0.000 47.92798 87.02464 + house_foreignaffairs_m | -45.97826 42.5621 -1.08 0.280 -129.4919 37.53535 + house_governmentop_m | 144.941 53.36856 2.72 0.007 40.22336 249.6586 + house_intelligence_m | -180.7768 70.39839 -2.57 0.010 -318.9097 -42.644 + house_interior_m | -144.4004 60.51238 -2.39 0.017 -263.1353 -25.66548 + house_judiciary_m | -3.747568 15.07374 -0.25 0.804 -33.32464 25.8295 + house_mmf_m | 141.2479 46.79625 3.02 0.003 49.42625 233.0696 + house_pocs_m | -26.87006 54.3241 -0.49 0.621 -133.4626 79.72246 + house_pwt_m | -12.51159 38.4117 -0.33 0.745 -87.88145 62.85827 + house_rules_m | -17.34197 50.89194 -0.34 0.733 -117.2 82.51611 + house_sst_m | -203.7783 58.96437 -3.46 0.001 -319.4758 -88.08085 + house_smallbusi_m | -83.89915 55.13933 -1.52 0.128 -192.0913 24.29297 + house_soc_m | 471.8794 218.1125 2.16 0.031 43.90807 899.8507 + house_veterans_m | 60.88893 19.19813 3.17 0.002 23.21915 98.55871 + house_waysandmeans_m | 42.14225 10.69757 3.94 0.000 21.15192 63.13259 +house_naturalresources_m | -102.9365 30.25952 -3.40 0.001 -162.3104 -43.56248 + house_bfs_m | 37.25932 19.05905 1.95 0.051 -.1375729 74.65621 + house_eeo_m | -141.2584 27.75339 -5.09 0.000 -195.7149 -86.80182 + house_govreform_m | 50.95345 15.84037 3.22 0.001 19.87213 82.03476 + house_ir_m | 24.73377 21.45166 1.15 0.249 -17.35779 66.82533 + house_natsecur_m | 31.29826 31.9947 0.98 0.328 -31.48043 94.07694 + house_oversight_m | 69.63015 30.47378 2.28 0.023 9.835747 129.4246 + house_resources_m | 29.79251 22.69635 1.31 0.190 -14.74135 74.32636 + house_science_m | 216.3528 28.0874 7.70 0.000 161.2408 271.4647 + house_transp_m | 83.48681 23.30529 3.58 0.000 37.75812 129.2155 + house_homeland_m | 81.93189 46.27826 1.77 0.077 -8.873402 172.7372 + _cons | 1.784242 9.472087 0.19 0.851 -16.8015 20.36998 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,447 1 0 1 1 + + +j = 4 k = 2 + + +rdbwselect_2014 pctbills_cosponsored_opp cosp_MV1_female if cosponsor_party==100 & tag_cosponsor==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 449 +----------------------+---------------------- NN matches = 3 + Number of obs | 179 270 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of cosp_MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 25.54053 45.13424 .5658793 +---------------------------------------------- +(option pr assumed; Pr(cosponsor_female)) +(418 missing values generated) +(4,331 missing values generated) +(3,913 real changes made) +reg pctbills_cosponsored_opp cosponsor_female i.v2 [aw=wt] if cosponsor_party==100 & tag_cosponsor==1, robust cluster(cosponsor_v1_fix) +(sum of wgt is 4,635.8760625124) + +Linear regression Number of obs = 2,309 + F(44, 573) = 131.13 + Prob > F = 0.0000 + R-squared = 0.8401 + Root MSE = 6.1816 + + (Std. Err. adjusted for 574 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust +pctbills_cosponsored_opp | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | -.8751134 .6243354 -1.40 0.162 -2.101378 .3511515 + | + v2 | + 102 | -4.131378 .6864176 -6.02 0.000 -5.479579 -2.783176 + 103 | -1.675125 1.612622 -1.04 0.299 -4.842498 1.492247 + 104 | 32.8599 3.692668 8.90 0.000 25.60709 40.11272 + 105 | 17.25661 3.154167 5.47 0.000 11.06147 23.45175 + 106 | 22.73755 2.948791 7.71 0.000 16.9458 28.52931 + 107 | 18.59455 2.9528 6.30 0.000 12.79492 24.39419 + 108 | 19.15707 2.867622 6.68 0.000 13.52473 24.7894 + 109 | 24.1965 3.031779 7.98 0.000 18.24174 30.15125 + 110 | -12.71637 2.613544 -4.87 0.000 -17.84967 -7.583079 + 111 | -15.67912 2.686502 -5.84 0.000 -20.95571 -10.40252 + | + house_administration_m | -10.56954 12.27413 -0.86 0.390 -34.67731 13.53822 + house_agriculture_m | -13.17493 9.261242 -1.42 0.155 -31.36505 5.015197 + house_appropriations_m | 68.69506 15.7137 4.37 0.000 37.83158 99.55854 + house_armedservices_m | 29.67823 10.53791 2.82 0.005 8.980591 50.37587 + house_budget_m | 231.1486 42.00322 5.50 0.000 148.6496 313.6477 + house_dc_m | 35.4944 74.48451 0.48 0.634 -110.8016 181.7904 + house_educlabor_m | -47.90046 6.257228 -7.66 0.000 -60.19036 -35.61056 + house_energycommerce_m | -28.04499 5.401544 -5.19 0.000 -38.65423 -17.43575 + house_foreignaffairs_m | -52.1407 13.07098 -3.99 0.000 -77.81358 -26.46782 + house_governmentop_m | 13.59481 18.69123 0.73 0.467 -23.11687 50.30649 + house_intelligence_m | -46.85186 50.90897 -0.92 0.358 -146.8428 53.13909 + house_interior_m | -27.44884 15.82365 -1.73 0.083 -58.52827 3.630583 + house_judiciary_m | -1.19823 7.697582 -0.16 0.876 -16.31715 13.92069 + house_mmf_m | -17.4471 12.70064 -1.37 0.170 -42.39258 7.498381 + house_pocs_m | 5.796862 10.0395 0.58 0.564 -13.92186 25.51558 + house_pwt_m | -40.91111 10.51937 -3.89 0.000 -61.57233 -20.24988 + house_rules_m | 19.40915 18.55134 1.05 0.296 -17.02777 55.84607 + house_sst_m | -44.34131 24.5752 -1.80 0.072 -92.60977 3.927152 + house_smallbusi_m | -43.93539 20.88504 -2.10 0.036 -84.95596 -2.914817 + house_soc_m | -164.0635 119.3274 -1.37 0.170 -398.436 70.30898 + house_veterans_m | -34.22225 8.351957 -4.10 0.000 -50.62644 -17.81807 + house_waysandmeans_m | 9.351093 4.72684 1.98 0.048 .0670469 18.63514 +house_naturalresources_m | -45.81418 10.32784 -4.44 0.000 -66.09921 -25.52914 + house_bfs_m | -38.7633 7.759091 -5.00 0.000 -54.00303 -23.52357 + house_eeo_m | -136.887 16.01479 -8.55 0.000 -168.3419 -105.4322 + house_govreform_m | -66.77034 16.32735 -4.09 0.000 -98.83909 -34.70159 + house_ir_m | -107.3488 12.21963 -8.78 0.000 -131.3496 -83.34811 + house_natsecur_m | 40.50221 22.03569 1.84 0.067 -2.77836 83.78278 + house_oversight_m | 53.25024 15.80588 3.37 0.001 22.20571 84.29477 + house_resources_m | -43.75745 13.48414 -3.25 0.001 -70.24181 -17.27309 + house_science_m | 40.08809 21.63676 1.85 0.064 -2.408943 82.58512 + house_transp_m | 38.13754 14.33766 2.66 0.008 9.97677 66.29832 + house_homeland_m | -29.80405 18.76825 -1.59 0.113 -66.66701 7.058914 + _cons | 43.82556 5.106086 8.58 0.000 33.79663 53.85449 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,309 1 0 1 1 + + +j = 4 k = 3 + + +rdbwselect_2014 pctbills_cosponsored_opp cosp_MV1_female if cosponsor_party==200 & tag_cosponsor==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 458 +----------------------+---------------------- NN matches = 3 + Number of obs | 328 130 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of cosp_MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 17.82571 28.60263 .6232193 +---------------------------------------------- +(option pr assumed; Pr(cosponsor_female)) +(418 missing values generated) +(4,331 missing values generated) +(3,913 real changes made) +reg pctbills_cosponsored_opp cosponsor_female i.v2 [aw=wt] if cosponsor_party==200 & tag_cosponsor==1, robust cluster(cosponsor_v1_fix) +(sum of wgt is 4,122.02951204777) + +Linear regression Number of obs = 2,137 + F(44, 519) = 232.64 + Prob > F = 0.0000 + R-squared = 0.8775 + Root MSE = 6.3992 + + (Std. Err. adjusted for 520 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust +pctbills_cosponsored_opp | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | -.5202795 .6579393 -0.79 0.429 -1.812831 .7722721 + | + v2 | + 102 | 4.785152 1.591858 3.01 0.003 1.657875 7.912429 + 103 | 7.310256 2.665865 2.74 0.006 2.073044 12.54747 + 104 | -30.68565 4.69604 -6.53 0.000 -39.91123 -21.46007 + 105 | -33.1132 3.387826 -9.77 0.000 -39.76874 -26.45766 + 106 | -37.09468 2.787069 -13.31 0.000 -42.57001 -31.61936 + 107 | -35.56214 2.875908 -12.37 0.000 -41.21199 -29.91229 + 108 | -35.43375 2.848153 -12.44 0.000 -41.02908 -29.83843 + 109 | -39.92353 2.792318 -14.30 0.000 -45.40917 -34.4379 + 110 | 4.198345 3.436643 1.22 0.222 -2.553096 10.94978 + 111 | 4.05776 3.893821 1.04 0.298 -3.591828 11.70735 + | + house_administration_m | -27.16949 16.32896 -1.66 0.097 -59.24848 4.909504 + house_agriculture_m | 39.4101 13.52356 2.91 0.004 12.84245 65.97776 + house_appropriations_m | -63.19732 6.916791 -9.14 0.000 -76.78567 -49.60897 + house_armedservices_m | -25.5567 14.01397 -1.82 0.069 -53.08779 1.974381 + house_budget_m | -55.76655 17.4127 -3.20 0.001 -89.97459 -21.5585 + house_dc_m | 80.67041 107.8037 0.75 0.455 -131.1148 292.4556 + house_educlabor_m | 14.65599 10.15604 1.44 0.150 -5.296003 34.60799 + house_energycommerce_m | 38.4842 6.024606 6.39 0.000 26.64859 50.31981 + house_foreignaffairs_m | 28.94964 15.04498 1.92 0.055 -.6069107 58.50619 + house_governmentop_m | -8.337868 17.30572 -0.48 0.630 -42.33573 25.65999 + house_intelligence_m | -157.2775 76.91127 -2.04 0.041 -308.3732 -6.181796 + house_interior_m | -44.41895 24.61483 -1.80 0.072 -92.77589 3.937999 + house_judiciary_m | -54.52455 6.618584 -8.24 0.000 -67.52705 -41.52204 + house_mmf_m | 44.68609 13.2081 3.38 0.001 18.73818 70.63401 + house_pocs_m | 33.36963 28.74745 1.16 0.246 -23.10604 89.84529 + house_pwt_m | -.3504744 13.86807 -0.03 0.980 -27.59494 26.89399 + house_rules_m | -120.1249 16.01836 -7.50 0.000 -151.5937 -88.65611 + house_sst_m | 22.15681 34.55429 0.64 0.522 -45.72667 90.04028 + house_smallbusi_m | 75.80882 38.16891 1.99 0.048 .8242708 150.7934 + house_soc_m | 34.07789 118.7835 0.29 0.774 -199.2777 267.4335 + house_veterans_m | 46.6316 12.23295 3.81 0.000 22.59941 70.66379 + house_waysandmeans_m | -14.36727 4.868762 -2.95 0.003 -23.93218 -4.80237 +house_naturalresources_m | -98.06594 26.17941 -3.75 0.000 -149.4966 -46.6353 + house_bfs_m | 16.64434 8.68717 1.92 0.056 -.4220022 33.71068 + house_eeo_m | -12.30818 10.52641 -1.17 0.243 -32.98779 8.371425 + house_govreform_m | 37.72034 11.27193 3.35 0.001 15.57612 59.86455 + house_ir_m | 74.30868 15.43328 4.81 0.000 43.98931 104.6281 + house_natsecur_m | -16.38622 22.39567 -0.73 0.465 -60.38352 27.61109 + house_oversight_m | -44.98383 15.24962 -2.95 0.003 -74.9424 -15.02526 + house_resources_m | -10.45095 7.551797 -1.38 0.167 -25.2868 4.384898 + house_science_m | 63.25213 25.30097 2.50 0.013 13.54723 112.957 + house_transp_m | 20.32699 9.706941 2.09 0.037 1.257269 39.39672 + house_homeland_m | -.1191263 20.26145 -0.01 0.995 -39.92367 39.68542 + _cons | 50.26268 5.439799 9.24 0.000 39.57595 60.94941 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,137 1 0 1 1 + + +j = 5 k = 1 + + +rdbwselect_2014 pctbills_cosponsored_opp cosp_MV1_female if tag_cosponsor==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 907 +----------------------+---------------------- NN matches = 3 + Number of obs | 507 400 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of cosp_MV1_female | 99.945 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 23.40392 43.8746 .5334274 +---------------------------------------------- +(option pr assumed; Pr(cosponsor_female)) +(515 missing values generated) +(4,347 missing values generated) +(3,832 real changes made) +reg pctbills_cosponsored_opp cosponsor_female i.v2 [aw=wt] if tag_cosponsor==1, robust cluster(cosponsor_v1_fix) +(sum of wgt is 8,490.35073935986) + +Linear regression Number of obs = 4,360 + F(44, 1067) = 24.38 + Prob > F = 0.0000 + R-squared = 0.3162 + Root MSE = 14.815 + + (Std. Err. adjusted for 1,068 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust +pctbills_cosponsored_opp | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | 1.18048 1.691355 0.70 0.485 -2.138279 4.499239 + | + v2 | + 102 | -9.29869 2.293636 -4.05 0.000 -13.79924 -4.798142 + 103 | -12.61485 2.890007 -4.36 0.000 -18.28559 -6.944108 + 104 | -18.64267 7.190405 -2.59 0.010 -32.75161 -4.533733 + 105 | -25.31521 6.632093 -3.82 0.000 -38.32864 -12.30179 + 106 | -22.20175 6.045374 -3.67 0.000 -34.06392 -10.33957 + 107 | -26.82936 6.059536 -4.43 0.000 -38.71932 -14.9394 + 108 | -25.54908 6.29963 -4.06 0.000 -37.91015 -13.18801 + 109 | -33.6687 6.530053 -5.16 0.000 -46.4819 -20.8555 + 110 | -32.73281 6.811904 -4.81 0.000 -46.09905 -19.36656 + 111 | -34.49054 7.195107 -4.79 0.000 -48.6087 -20.37237 + | + house_administration_m | 33.11064 27.50223 1.20 0.229 -20.85395 87.07523 + house_agriculture_m | -3.580525 30.84828 -0.12 0.908 -64.1107 56.94965 + house_appropriations_m | 72.70289 12.59663 5.77 0.000 47.9859 97.41987 + house_armedservices_m | 37.05769 22.60983 1.64 0.102 -7.307079 81.42246 + house_budget_m | -33.98047 53.82995 -0.63 0.528 -139.6051 71.64412 + house_dc_m | -104.8458 331.6169 -0.32 0.752 -755.541 545.8494 + house_educlabor_m | -29.51213 15.24379 -1.94 0.053 -59.42333 .3990802 + house_energycommerce_m | 66.08216 10.14194 6.52 0.000 46.18175 85.98257 + house_foreignaffairs_m | 9.286468 56.77764 0.16 0.870 -102.122 120.695 + house_governmentop_m | 212.5252 64.3781 3.30 0.001 86.20313 338.8473 + house_intelligence_m | -148.0881 69.66506 -2.13 0.034 -284.7842 -11.39207 + house_interior_m | -225.2187 83.72787 -2.69 0.007 -389.5087 -60.92875 + house_judiciary_m | -26.26477 20.72354 -1.27 0.205 -66.92829 14.39876 + house_mmf_m | 87.1805 43.29582 2.01 0.044 2.225882 172.1351 + house_pocs_m | -.2116669 47.30538 -0.00 0.996 -93.0338 92.61046 + house_pwt_m | -28.73828 35.52632 -0.81 0.419 -98.44766 40.97109 + house_rules_m | -8.843469 47.30241 -0.19 0.852 -101.6598 83.97284 + house_sst_m | -178.7005 58.19188 -3.07 0.002 -292.8841 -64.51703 + house_smallbusi_m | -139.807 52.49179 -2.66 0.008 -242.8058 -36.80814 + house_soc_m | 438.9792 205.0202 2.14 0.032 36.6906 841.2677 + house_veterans_m | 75.03194 18.66744 4.02 0.000 38.40288 111.661 + house_waysandmeans_m | 40.96047 9.90697 4.13 0.000 21.52112 60.39983 +house_naturalresources_m | -98.31302 36.15141 -2.72 0.007 -169.2489 -27.3771 + house_bfs_m | 37.43453 16.766 2.23 0.026 4.536464 70.3326 + house_eeo_m | -123.9298 20.49176 -6.05 0.000 -164.1385 -83.72111 + house_govreform_m | 56.25208 16.296 3.45 0.001 24.27624 88.22792 + house_ir_m | 40.09723 20.92806 1.92 0.056 -.967582 81.16205 + house_natsecur_m | 51.76906 30.9746 1.67 0.095 -9.008973 112.5471 + house_oversight_m | 59.44434 36.70184 1.62 0.106 -12.57162 131.4603 + house_resources_m | 38.63286 18.2332 2.12 0.034 2.855855 74.40986 + house_science_m | 208.7756 32.86232 6.35 0.000 144.2935 273.2577 + house_transp_m | 54.19483 18.69244 2.90 0.004 17.51671 90.87295 + house_homeland_m | 113.012 46.34937 2.44 0.015 22.06576 203.9583 + _cons | 7.233903 9.655358 0.75 0.454 -11.71174 26.17955 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 4,360 1 0 1 1 + + +j = 5 k = 2 + + +rdbwselect_2014 pctbills_cosponsored_opp cosp_MV1_female if cosponsor_party==100 & tag_cosponsor==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 449 +----------------------+---------------------- NN matches = 3 + Number of obs | 179 270 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of cosp_MV1_female | 99.685 99.971 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 25.54053 45.13424 .5658793 +---------------------------------------------- +(option pr assumed; Pr(cosponsor_female)) +(515 missing values generated) +(4,347 missing values generated) +(3,832 real changes made) +reg pctbills_cosponsored_opp cosponsor_female i.v2 [aw=wt] if cosponsor_party==100 & tag_cosponsor==1, robust cluster(cosponsor_v1_fix) +(sum of wgt is 4,397.69845294952) + +Linear regression Number of obs = 2,268 + F(44, 569) = 148.77 + Prob > F = 0.0000 + R-squared = 0.8472 + Root MSE = 5.9887 + + (Std. Err. adjusted for 570 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust +pctbills_cosponsored_opp | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | -1.040392 .5761753 -1.81 0.071 -2.172082 .091298 + | + v2 | + 102 | -2.993981 .7955263 -3.76 0.000 -4.556508 -1.431455 + 103 | -.9946664 1.596291 -0.62 0.533 -4.130009 2.140677 + 104 | 35.7717 4.125801 8.67 0.000 27.66804 43.87536 + 105 | 20.16421 3.303561 6.10 0.000 13.67555 26.65288 + 106 | 26.39929 3.196108 8.26 0.000 20.12168 32.6769 + 107 | 22.21567 3.251507 6.83 0.000 15.82925 28.60209 + 108 | 22.55882 3.136833 7.19 0.000 16.39764 28.72001 + 109 | 28.39034 3.303162 8.59 0.000 21.90246 34.87822 + 110 | -9.513198 2.799007 -3.40 0.001 -15.01084 -4.015552 + 111 | -10.79874 3.06432 -3.52 0.000 -16.8175 -4.779976 + | + house_administration_m | -19.06051 13.95395 -1.37 0.172 -46.46804 8.347028 + house_agriculture_m | -13.1456 8.651104 -1.52 0.129 -30.1376 3.846396 + house_appropriations_m | 92.34085 18.58977 4.97 0.000 55.82791 128.8538 + house_armedservices_m | 15.46902 11.80418 1.31 0.191 -7.716062 38.6541 + house_budget_m | 199.9807 45.11434 4.43 0.000 111.3697 288.5916 + house_dc_m | .4482293 69.92931 0.01 0.995 -136.9029 137.7993 + house_educlabor_m | -41.98874 5.299248 -7.92 0.000 -52.39721 -31.58027 + house_energycommerce_m | -24.79347 5.662569 -4.38 0.000 -35.91556 -13.67138 + house_foreignaffairs_m | -45.12035 10.0091 -4.51 0.000 -64.77965 -25.46106 + house_governmentop_m | 18.43367 16.95265 1.09 0.277 -14.86374 51.73108 + house_intelligence_m | -14.16434 42.87419 -0.33 0.741 -98.37533 70.04665 + house_interior_m | -28.43327 15.38792 -1.85 0.065 -58.65733 1.790796 + house_judiciary_m | 1.104231 7.881195 0.14 0.889 -14.37555 16.58402 + house_mmf_m | -4.419723 12.9408 -0.34 0.733 -29.83729 20.99784 + house_pocs_m | 10.20171 10.88471 0.94 0.349 -11.17741 31.58083 + house_pwt_m | -35.46836 11.62113 -3.05 0.002 -58.29392 -12.64281 + house_rules_m | 26.2742 19.95662 1.32 0.189 -12.92343 65.47184 + house_sst_m | -22.41141 24.49141 -0.92 0.361 -70.51602 25.69319 + house_smallbusi_m | -25.41319 26.19301 -0.97 0.332 -76.85998 26.0336 + house_soc_m | -217.7497 102.6655 -2.12 0.034 -419.3993 -16.10004 + house_veterans_m | -20.94038 7.797934 -2.69 0.007 -36.25663 -5.624136 + house_waysandmeans_m | 8.994185 4.138859 2.17 0.030 .8648786 17.12349 +house_naturalresources_m | -40.0511 10.98449 -3.65 0.000 -61.62619 -18.47601 + house_bfs_m | -34.39846 6.302706 -5.46 0.000 -46.77787 -22.01905 + house_eeo_m | -127.5921 19.21526 -6.64 0.000 -165.3336 -89.8506 + house_govreform_m | -57.01495 16.1918 -3.52 0.000 -88.81794 -25.21195 + house_ir_m | -116.6497 18.56211 -6.28 0.000 -153.1083 -80.19108 + house_natsecur_m | 41.51958 20.14489 2.06 0.040 1.952159 81.08701 + house_oversight_m | 47.75383 16.31312 2.93 0.004 15.71253 79.79512 + house_resources_m | -44.11492 13.48514 -3.27 0.001 -70.60165 -17.62819 + house_science_m | 30.06856 20.56446 1.46 0.144 -10.32296 70.46007 + house_transp_m | 34.10044 11.82761 2.88 0.004 10.86934 57.33153 + house_homeland_m | -48.67901 20.49018 -2.38 0.018 -88.92463 -8.433378 + _cons | 38.33106 4.354537 8.80 0.000 29.77813 46.88399 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,268 1 0 1 1 + + +j = 5 k = 3 + + +rdbwselect_2014 pctbills_cosponsored_opp cosp_MV1_female if cosponsor_party==200 & tag_cosponsor==1, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 458 +----------------------+---------------------- NN matches = 3 + Number of obs | 328 130 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of cosp_MV1_female | 99.945 57.946 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 17.82571 28.60263 .6232193 +---------------------------------------------- +(option pr assumed; Pr(cosponsor_female)) +(1,061 missing values generated) +(4,437 missing values generated) +(3,376 real changes made) +reg pctbills_cosponsored_opp cosponsor_female i.v2 [aw=wt] if cosponsor_party==200 & tag_cosponsor==1, robust cluster(cosponsor_v1_fix) +(sum of wgt is 3,080.53678405285) + +Linear regression Number of obs = 1,952 + F(44, 471) = 192.41 + Prob > F = 0.0000 + R-squared = 0.8806 + Root MSE = 6.2356 + + (Std. Err. adjusted for 472 clusters in cosponsor_v1_fix) +------------------------------------------------------------------------------------------ + | Robust +pctbills_cosponsored_opp | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-------------------------+---------------------------------------------------------------- + cosponsor_female | .2527269 .645179 0.39 0.695 -1.015059 1.520512 + | + v2 | + 102 | 5.80925 1.287706 4.51 0.000 3.27889 8.33961 + 103 | 5.83022 1.9783 2.95 0.003 1.942834 9.717606 + 104 | -35.56997 3.86594 -9.20 0.000 -43.16659 -27.97334 + 105 | -37.32091 3.028232 -12.32 0.000 -43.27143 -31.3704 + 106 | -40.98028 2.666338 -15.37 0.000 -46.21967 -35.74089 + 107 | -38.55046 2.660834 -14.49 0.000 -43.77903 -33.32188 + 108 | -38.14125 2.725995 -13.99 0.000 -43.49787 -32.78464 + 109 | -44.12557 2.751237 -16.04 0.000 -49.53179 -38.71935 + 110 | 1.486547 2.956798 0.50 0.615 -4.323601 7.296696 + 111 | 2.62295 3.389471 0.77 0.439 -4.037406 9.283307 + | + house_administration_m | -26.02819 13.69196 -1.90 0.058 -52.93307 .8766899 + house_agriculture_m | 32.80754 10.14873 3.23 0.001 12.86514 52.74993 + house_appropriations_m | -72.62713 5.692109 -12.76 0.000 -83.8122 -61.44206 + house_armedservices_m | -37.22296 12.30432 -3.03 0.003 -61.40112 -13.0448 + house_budget_m | -38.88209 13.03837 -2.98 0.003 -64.50267 -13.26151 + house_dc_m | -62.73115 103.2136 -0.61 0.544 -265.5473 140.085 + house_educlabor_m | 2.994501 8.060885 0.37 0.710 -12.84525 18.83425 + house_energycommerce_m | 39.70358 4.574466 8.68 0.000 30.71469 48.69246 + house_foreignaffairs_m | 9.2453 15.2291 0.61 0.544 -20.68008 39.17068 + house_governmentop_m | -16.64109 17.1117 -0.97 0.331 -50.26582 16.98363 + house_intelligence_m | -94.54881 50.72994 -1.86 0.063 -194.2338 5.136207 + house_interior_m | -47.39944 23.27734 -2.04 0.042 -93.13973 -1.659148 + house_judiciary_m | -51.69149 5.042629 -10.25 0.000 -61.60033 -41.78266 + house_mmf_m | 27.86541 11.76346 2.37 0.018 4.750041 50.98077 + house_pocs_m | 38.61862 19.43869 1.99 0.048 .4213364 76.81591 + house_pwt_m | -12.94995 13.86877 -0.93 0.351 -40.20227 14.30238 + house_rules_m | -118.5312 15.35166 -7.72 0.000 -148.6974 -88.36496 + house_sst_m | 10.37274 30.90884 0.34 0.737 -50.36354 71.10902 + house_smallbusi_m | 44.38852 33.58532 1.32 0.187 -21.60707 110.3841 + house_soc_m | -43.08265 137.034 -0.31 0.753 -312.3563 226.191 + house_veterans_m | 41.39886 10.52095 3.93 0.000 20.72505 62.07266 + house_waysandmeans_m | -18.47624 4.497711 -4.11 0.000 -27.3143 -9.638175 +house_naturalresources_m | -84.12004 20.15747 -4.17 0.000 -123.7297 -44.51034 + house_bfs_m | 12.8744 7.042045 1.83 0.068 -.9633173 26.71211 + house_eeo_m | -10.46434 10.26899 -1.02 0.309 -30.64303 9.71436 + house_govreform_m | 35.39534 9.832537 3.60 0.000 16.07428 54.71641 + house_ir_m | 68.68093 11.18392 6.14 0.000 46.70438 90.65749 + house_natsecur_m | -24.53125 18.18914 -1.35 0.178 -60.27315 11.21065 + house_oversight_m | -43.97579 11.77376 -3.74 0.000 -67.11139 -20.84019 + house_resources_m | -7.583096 7.287555 -1.04 0.299 -21.90324 6.737047 + house_science_m | 45.3922 20.70053 2.19 0.029 4.715377 86.06903 + house_transp_m | 13.25453 10.05557 1.32 0.188 -6.504798 33.01386 + house_homeland_m | -3.098833 20.97149 -0.15 0.883 -44.30809 38.11043 + _cons | 57.11042 4.425955 12.90 0.000 48.41336 65.80748 +------------------------------------------------------------------------------------------ + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,952 1 0 1 1 +(4,877 missing values generated) +(4,877 missing values generated) +(4,877 missing values generated) +(4,877 missing values generated) +(4,877 missing values generated) +(4,877 missing values generated) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(4,859 observations deleted) +(17 missing values generated) +(1 real change made) +(0 real changes made) +(18 missing values generated) +(0 real changes made) +(0 real changes made) +(18 missing values generated) +(0 real changes made) +(0 real changes made) +(18 missing values generated) +(0 real changes made) +(0 real changes made) +(17 missing values generated) +(0 real changes made) +(0 real changes made) +(5 real changes made) +(5 real changes made) +(5 real changes made) +file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/TableD1_ReactiveCooperativeness_RDIPW_pctbills_cosponsored_opp.xl +> sx saved + +. +. log close + name: + log: /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Log/TableD1.log + log type: text + closed on: 12 Jul 2021, 18:51:03 +--------------------------------------------------------------------------------------------------------------------------------------------------------------------- diff --git a/30/replication_package/Log/TableD2.log b/30/replication_package/Log/TableD2.log new file mode 100644 index 0000000000000000000000000000000000000000..adc0d4f69a0c677908ef6894760ee6420c5d60dc --- /dev/null +++ b/30/replication_package/Log/TableD2.log @@ -0,0 +1,8426 @@ +--------------------------------------------------------------------------------------------------------------------------------------------------------------------- + name: + log: /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Log/TableD2.log + log type: text + opened on: 13 Jul 2021, 22:51:45 + +. +. use "$AnalysisData/bills_analysis_101-111_replication.dta" +(Bill-level data set. Each observation is an individual bill.) + +. keep if private==0 +(1,546 observations deleted) + +. +. bysort v2 sponsor_state_abbrev sponsor_district sponsor_term_served: egen tot_bills=count(v2) + +. +. gen byte sponsor_democrat = sponsor_party==100 if sponsor_party~=. +(1,036 missing values generated) + +. +. gen byte NE = sponsor_state_icpsr>=1 & sponsor_state_icpsr<=14 if sponsor_state_icpsr~=. +(1,015 missing values generated) + +. gen byte MW = sponsor_state_icpsr>=21 & sponsor_state_icpsr<=37 if sponsor_state_icpsr~=. +(1,015 missing values generated) + +. gen byte SO = sponsor_state_icpsr>=40 & sponsor_state_icpsr<=56 if sponsor_state_icpsr~=. +(1,015 missing values generated) + +. gen byte WE = sponsor_state_icpsr>=61 & sponsor_state_icpsr<=82 if sponsor_state_icpsr~=. +(1,015 missing values generated) + +. +. replace sponsor_age=. if sponsor_age>100 +(0 real changes made) + +. gen sponsor_rookie=(sponsor_tenure_run==1) if sponsor_tenure_run!=. +(1,015 missing values generated) + +. gen byte leader = (comc==1) | (comr==1) if comc~=. & comr~=. +(1,015 missing values generated) + +. +. gen lnpden=lnpop-lnarea +(1,015 missing values generated) + +. gen absMV=abs(MV1_democrat) +(6,677 missing values generated) + +. +. egen tag_congressmen=tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) + +. egen group_congressmen = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +(1,015 missing values generated) + +. *egen tag_sponsor = tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +. sort v2 sponsor_state_abbrev sponsor_district sponsor_term_served HRnumber + +. bysort v2 sponsor_state_abbrev sponsor_district sponsor_term_served: gen tag_sponsor=_n + +. egen group_sponsor = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +(1,015 missing values generated) + +. +. bysort v2 sponsor_state_abbrev sponsor_district sponsor_term_served: egen numb_cosponsors_m=mean(numb_cosponsors) +(1,015 missing values generated) + +. +. compress + variable tot_bills was float now int + variable sponsor_rookie was float now byte + variable group_congressmen was float now int + variable tag_sponsor was float now int + variable group_sponsor was float now int + (685,839 bytes saved) + +. +. *egen tag_bill = tag(v2 HRnumber) +. sort v2 HRnumber + +. bysort v2 HRnumber: gen tag_bill=_n + +. +. gen int decade = 1980 if v2<=102 +(50,563 missing values generated) + +. replace decade=1990 if v2>=103 & v2<=107 +(25,238 real changes made) + +. replace decade=2000 if v2>=108 +(25,325 real changes made) + +. +. egen district_id = group(decade sponsor_state_abbrev sponsor_district) +(1,015 missing values generated) + +. +. sort district_id v2 HRnumber + +. bysort district_id v2: gen counter=_n + +. foreach var of varlist tot_bills sponsor_female MV1_female MV1_democrat mixed_gender_ele /* +> */ sponsor_party sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age /* +> */ leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate { + 2. sort counter district_id v2 + 3. bysort counter district_id: gen X=`var'[_n+1] if counter==1 & `var'[_n+1]!=. + 4. bysort district_id v2: egen `var'_l1=max(X) + 5. drop X + 6. } +(58,909 missing values generated) +(18,061 missing values generated) +(58,919 missing values generated) +(18,935 missing values generated) +(61,684 missing values generated) +(53,400 missing values generated) +(59,243 missing values generated) +(23,391 missing values generated) +(59,565 missing values generated) +(26,761 missing values generated) +(58,922 missing values generated) +(18,992 missing values generated) +(58,922 missing values generated) +(18,992 missing values generated) +(58,919 missing values generated) +(18,935 missing values generated) +(58,919 missing values generated) +(18,935 missing values generated) +(58,922 missing values generated) +(18,982 missing values generated) +(58,919 missing values generated) +(18,935 missing values generated) +(58,947 missing values generated) +(19,352 missing values generated) +(58,919 missing values generated) +(18,935 missing values generated) +(58,945 missing values generated) +(19,366 missing values generated) +(58,945 missing values generated) +(19,366 missing values generated) +(58,945 missing values generated) +(19,366 missing values generated) +(58,945 missing values generated) +(19,366 missing values generated) +(58,945 missing values generated) +(19,366 missing values generated) +(58,933 missing values generated) +(19,162 missing values generated) + +. gen female_l1XMV1_female_l1=MV1_female_l1*sponsor_female_l1 +(53,400 missing values generated) + +. gen absMV_l1=abs(MV1_democrat_l1) +(23,391 missing values generated) + +. +. local controls1 = "i.v2 " + +. local controls2 = "i.v2 MV1_female_l1 female_l1XMV1_female_l1 " + +. local controls3 = "i.v2 MV1_female_l1 female_l1XMV1_female_l1 " + +. local controls4 = "i.v2 " + +. local controls5 = "i.v2 " + +. +. local other_controls = "i.minor house_* sponsor_democrat_l1 sponsor_rookie_l1 sponsor_tenure_run_l1 sponsor_age_l1 leader_l1 ivycoll_l1 black_l1 occ0_l1 occ1_l1 oc +> c2_l1 occ3_l1 occ4_l1 borninstate_l1 tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden" + +. local billchars = "i.minor house_*" + +. local indivchars = "sponsor_democrat_l1 sponsor_rookie_l1 sponsor_tenure_run_l1 sponsor_age_l1 leader_l1 ivycoll_l1 black_l1 occ0_l1 occ1_l1 occ2_l1 occ3_l1 occ4_l +> 1 borninstate_l1 tot_bills" + +. local districtchars = "NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden" + +. +. local if1 = "if tag_bill==1 & sponsor_female==0" + +. local if2 = "if sponsor_party_l1==100 & tag_bill==1 & sponsor_female==0" + +. local if3 = "if sponsor_party_l1==200 & tag_bill==1 & sponsor_female==0" + +. +. forvalues j=1/5 { + 2. forvalues k = 1/3 { + 3. qui reg numb_cosponsors sponsor_female_l1 `controls2' `other_controls' `if`k'' & mixed_gender_election_l1==1, robust cluster(group_sponsor) + 4. qui gen sample=e(sample) + 5. +. di "" + 6. di "" + 7. di "j = ", `j', "k = ", `k' + 8. di "" + 9. di "" + 10. +. di "rdbwselect_2014 numb_cosponsors MV1_female_l1 `if`k'', c(0) kernel(uniform)" + 11. rdbwselect_2014 numb_cosponsors MV1_female_l1 `if`k'', c(0) kernel(uniform) + 12. local band = e(h_CCT) + 13. +. if `j'==1 { + 14. di "reg numb_cosponsors sponsor_female_l1 `controls`j'' `other_controls' `if`k'', robust cluster(group_sponsor)" + 15. reg numb_cosponsors sponsor_female_l1 `controls`j'' `other_controls' `if`k'', robust cluster(group_sponsor) + 16. } + 17. else if `j'==2 { + 18. di "reg numb_cosponsors sponsor_female_l1 `controls`j'' `if`k'' & sample==1 & abs(MV1_female_l1)<=`band', robust cluster(group_sponsor)" + 19. reg numb_cosponsors sponsor_female_l1 `controls`j'' `if`k'' & sample==1 & abs(MV1_female_l1)<=`band', robust cluster(group_sponsor) + 20. } + 21. else if `j'==3 { + 22. qui probit sponsor_female_l1 i.v2 `districtchars' `if`k'' & tag_sponsor==1 & abs(MV1_female_l1)<=`band' + 23. predict pscore if sample==1 + 24. gen wt = 1/pscore if sponsor_female_l1==1 + 25. replace wt =1/(1-pscore) if sponsor_female_l1==0 + 26. di "reg numb_cosponsors sponsor_female_l1 `controls`j'' `billchars' [aw=wt] `if`k'' & sample==1 & abs(MV1_female_l1)<=`band', robust cluster(group_ +> sponsor)" + 27. reg numb_cosponsors sponsor_female_l1 `controls`j'' `billchars' [aw=wt] `if`k'' & sample==1 & abs(MV1_female_l1 )<=`band', robust cluster(group_sponsor +> ) + 28. drop pscore wt + 29. } + 30. else if `j'==4 { + 31. qui probit sponsor_female_l1 i.v2 `districtchars' absMV_l1 `if`k'' & tag_sponsor==1 + 32. predict pscore + 33. gen wt = 1/pscore if sponsor_female_l1==1 + 34. replace wt =1/(1-pscore) if sponsor_female_l1==0 + 35. di "reg numb_cosponsors sponsor_female_l1 `controls`j'' `billchars' [aw=wt] `if`k'', robust cluster(group_sponsor)" + 36. reg numb_cosponsors sponsor_female_l1 `controls`j'' `billchars' [aw=wt] `if`k'', robust cluster(group_sponsor) + 37. drop pscore wt + 38. } + 39. else if `j'==5 { + 40. qui probit sponsor_female_l1 i.v2 `districtchars' `indivchars' absMV_l1 `if`k'' & tag_sponsor==1 + 41. predict pscore + 42. gen wt = 1/pscore if sponsor_female_l1==1 + 43. replace wt =1/(1-pscore) if sponsor_female_l1==0 + 44. di "reg numb_cosponsors sponsor_female_l1 `controls`j'' `billchars' [aw=wt] `if`k'', robust cluster(group_sponsor)" + 45. reg numb_cosponsors sponsor_female_l1 `controls`j'' `billchars' [aw=wt] `if`k'', robust cluster(group_sponsor) + 46. drop pscore wt + 47. } + 48. +. if `j'~=2 & `j'~=3 { + 49. scalar b_col`j'_row`k' = _b[sponsor_female_l1] + 50. scalar se_col`j'_row`k' = _se[sponsor_female_l1] + 51. scalar n_col`j'_row`k' = e(N) + 52. sum tag_congressmen if tag_congressmen==1 & e(sample) + 53. scalar ni_col`j'_row`k' = e(N_clust) + 54. scalar ob_col`j'_row`k' = . + 55. } + 56. else if `j'==2 | `j'==3 { + 57. scalar b_col`j'_row`k' = _b[sponsor_female_l1] + 58. scalar se_col`j'_row`k' = _se[sponsor_female_l1] + 59. scalar n_col`j'_row`k' = e(N) + 60. sum tag_congressmen if tag_congressmen==1 & e(sample) + 61. scalar ni_col`j'_row`k' = e(N_clust) + 62. scalar ob_col`j'_row`k' = round(`band') + 63. } + 64. +. drop sample + 65. +. } + 66. } + + +j = 1 k = 1 + + +rdbwselect_2014 numb_cosponsors MV1_female_l1 if tag_bill==1 & sponsor_female==0, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5144 +----------------------+---------------------- NN matches = 3 + Number of obs | 4450 694 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of MV1_female_l1 | 99.716 73.923 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 9.734343 19.66265 .4950678 +---------------------------------------------- +reg numb_cosponsors sponsor_female_l1 i.v2 i.minor house_* sponsor_democrat_l1 sponsor_rookie_l1 sponsor_tenure_run_l1 sponsor_age_l1 leader_l1 ivycoll_l1 black_l1 +> occ0_l1 occ1_l1 occ2_l1 occ3_l1 occ4_l1 borninstate_l1 tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if tag_bill==1 & sponsor_fem +> ale==0, robust cluster(group_sponsor) + +Linear regression Number of obs = 37,029 + F(287, 3012) = . + Prob > F = . + R-squared = 0.0915 + Root MSE = 34.133 + + (Std. Err. adjusted for 3,013 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female_l1 | .4981326 1.653853 0.30 0.763 -2.744662 3.740927 + | + v2 | + 103 | -4.515773 1.313325 -3.44 0.001 -7.090877 -1.940669 + 104 | -4.422916 1.395303 -3.17 0.002 -7.158758 -1.687073 + 105 | -1.610151 1.362794 -1.18 0.237 -4.282252 1.061949 + 106 | -.3683521 1.416788 -0.26 0.795 -3.146322 2.409617 + 108 | 7.245467 3.884123 1.87 0.062 -.3703344 14.86127 + 109 | 6.886355 3.863635 1.78 0.075 -.6892753 14.46198 + 110 | 7.38114 3.816856 1.93 0.053 -.1027687 14.86505 + | + minor | + 101 | 1.099138 7.159113 0.15 0.878 -12.93811 15.13638 + 103 | 2.070444 8.99107 0.23 0.818 -15.55881 19.6997 + 104 | 6.314271 5.424338 1.16 0.244 -4.32151 16.95005 + 105 | 4.729867 4.935633 0.96 0.338 -4.947685 14.40742 + 107 | 10.62879 4.704655 2.26 0.024 1.404126 19.85345 + 108 | 3.691653 5.80181 0.64 0.525 -7.684257 15.06756 + 110 | -10.55682 4.879553 -2.16 0.031 -20.12442 -.9892315 + 200 | 15.62363 5.590852 2.79 0.005 4.661354 26.5859 + 201 | 13.08394 8.355585 1.57 0.117 -3.299289 29.46717 + 202 | 34.30284 9.204345 3.73 0.000 16.2554 52.35027 + 204 | 23.1166 9.256947 2.50 0.013 4.966018 41.26717 + 205 | 54.19737 23.20948 2.34 0.020 8.689348 99.70539 + 206 | 13.85281 6.104005 2.27 0.023 1.884368 25.82125 + 207 | 24.63066 6.255046 3.94 0.000 12.36606 36.89525 + 208 | 8.474451 4.97532 1.70 0.089 -1.280917 18.22982 + 209 | 22.46116 19.73852 1.14 0.255 -16.24117 61.1635 + 299 | 60.10276 16.98684 3.54 0.000 26.79577 93.40975 + 300 | 9.902173 5.916568 1.67 0.094 -1.698749 21.5031 + 301 | 9.725018 5.007885 1.94 0.052 -.0942024 19.54424 + 302 | 16.21473 4.926743 3.29 0.001 6.554612 25.87486 + 321 | 13.46648 5.275003 2.55 0.011 3.123512 23.80945 + 322 | 7.52597 4.950424 1.52 0.129 -2.180584 17.23252 + 323 | 16.21391 5.204387 3.12 0.002 6.009395 26.41842 + 324 | 2.892181 5.146971 0.56 0.574 -7.199753 12.98412 + 325 | 10.69083 5.02742 2.13 0.034 .8333066 20.54835 + 331 | 18.60174 5.501639 3.38 0.001 7.814391 29.38909 + 332 | 16.93878 5.205458 3.25 0.001 6.732168 27.14539 + 333 | 27.84265 7.132892 3.90 0.000 13.85681 41.82848 + 334 | 18.0592 5.209103 3.47 0.001 7.84544 28.27296 + 335 | 13.82275 5.468492 2.53 0.012 3.100393 24.5451 + 336 | 23.70664 6.104875 3.88 0.000 11.73649 35.67678 + 341 | 12.60972 5.377196 2.35 0.019 2.066376 23.15307 + 342 | 10.77191 6.93138 1.55 0.120 -2.81881 24.36262 + 343 | 1.601296 5.300498 0.30 0.763 -8.791665 11.99426 + 344 | 13.42713 6.886677 1.95 0.051 -.0759351 26.93019 + 398 | 25.78274 5.758018 4.48 0.000 14.49269 37.07278 + 399 | 9.711049 7.145799 1.36 0.174 -4.30009 23.72219 + 400 | 4.786709 5.386542 0.89 0.374 -5.774964 15.34838 + 401 | 5.50702 5.113901 1.08 0.282 -4.520071 15.53411 + 402 | 6.907988 4.824901 1.43 0.152 -2.552446 16.36842 + 403 | 12.5947 5.446483 2.31 0.021 1.915502 23.27391 + 404 | 10.91936 6.451757 1.69 0.091 -1.73093 23.56966 + 405 | 32.34148 10.49168 3.08 0.002 11.76989 52.91306 + 498 | 19.75782 10.0078 1.97 0.048 .135009 39.38063 + 499 | 17.04599 9.577069 1.78 0.075 -1.732264 35.82425 + 500 | 5.422569 6.226677 0.87 0.384 -6.786399 17.63154 + 501 | 9.80587 5.322432 1.84 0.066 -.6300992 20.24184 + 502 | 6.490855 5.17917 1.25 0.210 -3.664212 16.64592 + 503 | 10.73029 4.642294 2.31 0.021 1.627906 19.83268 + 504 | 29.07297 6.38813 4.55 0.000 16.54743 41.59851 + 505 | 17.03657 5.729254 2.97 0.003 5.802924 28.27022 + 506 | 20.61513 6.748225 3.05 0.002 7.38354 33.84673 + 508 | 9.093488 5.725256 1.59 0.112 -2.132319 20.3193 + 529 | 16.53195 7.81716 2.11 0.035 1.204438 31.85946 + 530 | 9.185664 4.758774 1.93 0.054 -.1451109 18.51644 + 599 | 15.23386 9.988934 1.53 0.127 -4.351964 34.81968 + 600 | 12.10592 5.65514 2.14 0.032 1.017597 23.19425 + 601 | 11.01137 4.749087 2.32 0.020 1.699593 20.32316 + 602 | 13.51637 4.780393 2.83 0.005 4.143203 22.88953 + 603 | 11.66061 5.556254 2.10 0.036 .7661785 22.55505 + 604 | 4.243589 6.530469 0.65 0.516 -8.561039 17.04822 + 606 | 17.73615 7.519546 2.36 0.018 2.992189 32.48012 + 607 | 14.16924 5.297303 2.67 0.008 3.782542 24.55594 + 609 | 9.096527 5.929181 1.53 0.125 -2.529127 20.72218 + 698 | 1.032552 6.278129 0.16 0.869 -11.2773 13.34241 + 699 | 11.45782 6.577032 1.74 0.082 -1.438103 24.35375 + 700 | 7.906132 4.992476 1.58 0.113 -1.882875 17.69514 + 701 | 5.600173 4.951076 1.13 0.258 -4.107658 15.308 + 703 | 4.853302 4.837821 1.00 0.316 -4.632466 14.33907 + 704 | 9.376646 5.113137 1.83 0.067 -.6489465 19.40224 + 705 | 11.32717 5.293513 2.14 0.032 .9479064 21.70644 + 707 | 18.85891 6.229257 3.03 0.002 6.644885 31.07294 + 708 | 10.18896 6.119956 1.66 0.096 -1.810758 22.18867 + 709 | 15.80462 4.879631 3.24 0.001 6.236872 25.37236 + 710 | 7.747727 4.89766 1.58 0.114 -1.855369 17.35082 + 711 | 9.661014 5.241111 1.84 0.065 -.6155036 19.93753 + 798 | 10.12068 6.072704 1.67 0.096 -1.786382 22.02775 + 799 | 4.125903 6.711256 0.61 0.539 -9.033205 17.28501 + 800 | .0390206 4.957654 0.01 0.994 -9.681709 9.75975 + 801 | -1.731421 5.056989 -0.34 0.732 -11.64692 8.18408 + 802 | 1.890855 4.925129 0.38 0.701 -7.766102 11.54781 + 803 | 6.83701 4.810096 1.42 0.155 -2.594395 16.26842 + 805 | 2.806251 5.127843 0.55 0.584 -7.248176 12.86068 + 806 | 7.705027 4.9773 1.55 0.122 -2.054224 17.46428 + 807 | 3.520301 5.089136 0.69 0.489 -6.458231 13.49883 + 898 | 4.219615 6.533598 0.65 0.518 -8.59115 17.03038 + 899 | -.2397777 5.694044 -0.04 0.966 -11.40439 10.92483 + 1000 | 4.516301 6.064667 0.74 0.457 -7.375006 16.40761 + 1001 | .9816666 4.771285 0.21 0.837 -8.37364 10.33697 + 1002 | 4.149992 4.854871 0.85 0.393 -5.369207 13.66919 + 1003 | 7.507861 4.906734 1.53 0.126 -2.113028 17.12875 + 1005 | 11.47645 6.001573 1.91 0.056 -.2911483 23.24404 + 1006 | 8.533277 5.146241 1.66 0.097 -1.557224 18.62378 + 1007 | 2.923905 4.885092 0.60 0.550 -6.654548 12.50236 + 1010 | 3.472589 5.512468 0.63 0.529 -7.335993 14.28117 + 1098 | -.7453756 6.187614 -0.12 0.904 -12.87775 11.387 + 1099 | 1.53919 5.456293 0.28 0.778 -9.159247 12.23763 + 1200 | 14.09393 7.133912 1.98 0.048 .1060978 28.08176 + 1201 | 8.804556 5.200657 1.69 0.091 -1.392643 19.00176 + 1202 | 9.047665 5.967041 1.52 0.130 -2.652222 20.74755 + 1203 | 5.764561 4.890975 1.18 0.239 -3.825428 15.35455 + 1204 | 5.519113 4.89558 1.13 0.260 -4.079905 15.11813 + 1205 | 8.88178 5.26633 1.69 0.092 -1.444187 19.20775 + 1206 | 8.424195 5.415512 1.56 0.120 -2.19428 19.04267 + 1207 | 8.793232 5.179119 1.70 0.090 -1.361736 18.9482 + 1208 | 13.40859 5.048092 2.66 0.008 3.510532 23.30664 + 1209 | 18.6173 5.030743 3.70 0.000 8.753257 28.48134 + 1210 | 10.92223 5.0999 2.14 0.032 .9225943 20.92187 + 1211 | 6.545768 5.351757 1.22 0.221 -3.9477 17.03924 + 1299 | 21.30472 12.9247 1.65 0.099 -4.037415 46.64685 + 1300 | 10.53504 6.933064 1.52 0.129 -3.058983 24.12905 + 1301 | 16.11922 6.082358 2.65 0.008 4.193228 28.04522 + 1302 | 1.242668 4.812296 0.26 0.796 -8.19305 10.67839 + 1303 | 11.22197 4.983456 2.25 0.024 1.450653 20.9933 + 1304 | 20.57014 6.243551 3.29 0.001 8.328084 32.81219 + 1305 | 20.69518 8.280206 2.50 0.012 4.459749 36.93061 + 1399 | 2.993213 5.534448 0.54 0.589 -7.858466 13.84489 + 1400 | 12.51533 5.946151 2.10 0.035 .8564021 24.17425 + 1401 | 13.30123 5.783193 2.30 0.022 1.961828 24.64064 + 1403 | 10.05409 6.959613 1.44 0.149 -3.591981 23.70017 + 1404 | 8.058469 7.026768 1.15 0.252 -5.719279 21.83622 + 1405 | 2.924665 4.904127 0.60 0.551 -6.691112 12.54044 + 1406 | 13.25792 5.555489 2.39 0.017 2.364987 24.15086 + 1407 | 5.000993 5.034132 0.99 0.321 -4.869691 14.87168 + 1408 | 7.515474 5.357036 1.40 0.161 -2.988344 18.01929 + 1409 | 18.57898 6.635012 2.80 0.005 5.569367 31.58859 + 1410 | 10.46705 6.175896 1.69 0.090 -1.642355 22.57645 + 1499 | -.6319754 5.073814 -0.12 0.901 -10.58047 9.316516 + 1500 | 9.535506 7.194526 1.33 0.185 -4.571175 23.64219 + 1501 | 10.33772 5.082882 2.03 0.042 .3714549 20.30399 + 1502 | 7.711489 5.11783 1.51 0.132 -2.323306 17.74628 + 1504 | 16.41137 5.817401 2.82 0.005 5.004887 27.81785 + 1505 | 9.19316 5.108914 1.80 0.072 -.8241532 19.21047 + 1507 | 8.055269 5.841649 1.38 0.168 -3.398755 19.50929 + 1520 | 6.988778 5.377836 1.30 0.194 -3.555825 17.53338 + 1521 | 8.575825 4.789454 1.79 0.073 -.8151053 17.96676 + 1522 | 6.105481 5.095849 1.20 0.231 -3.886214 16.09718 + 1523 | 6.09192 4.723189 1.29 0.197 -3.169083 15.35292 + 1524 | 64.18355 28.90974 2.22 0.026 7.498725 120.8684 + 1525 | 12.51902 5.097227 2.46 0.014 2.524618 22.51341 + 1526 | 5.767004 5.416735 1.06 0.287 -4.85387 16.38788 + 1599 | 17.26671 6.280388 2.75 0.006 4.952427 29.58099 + 1600 | -2.485918 4.939104 -0.50 0.615 -12.17028 7.19844 + 1602 | 20.94063 9.404494 2.23 0.026 2.500754 39.38051 + 1603 | -3.061952 6.01919 -0.51 0.611 -14.86409 8.740187 + 1604 | .2604043 7.329385 0.04 0.972 -14.1107 14.63151 + 1605 | 12.79531 6.301856 2.03 0.042 .4389354 25.15169 + 1606 | 1.226222 5.864512 0.21 0.834 -10.27263 12.72507 + 1608 | 15.38364 5.259081 2.93 0.003 5.071892 25.6954 + 1609 | 17.47119 5.165619 3.38 0.001 7.34269 27.59968 + 1610 | 11.87218 7.292722 1.63 0.104 -2.427037 26.1714 + 1611 | -2.385309 5.186963 -0.46 0.646 -12.55566 7.785038 + 1612 | 6.670805 5.250356 1.27 0.204 -3.623841 16.96545 + 1614 | 1.118958 5.817033 0.19 0.847 -10.2868 12.52472 + 1615 | 5.075115 5.068918 1.00 0.317 -4.863775 15.014 + 1616 | -.0957219 4.917814 -0.02 0.984 -9.738335 9.546892 + 1617 | 1.458158 5.864362 0.25 0.804 -10.0404 12.95672 + 1619 | 3.823344 5.815008 0.66 0.511 -7.578443 15.22513 + 1620 | .8445144 5.201812 0.16 0.871 -9.354949 11.04398 + 1698 | -4.402706 5.196397 -0.85 0.397 -14.59155 5.786138 + 1699 | 14.85771 6.326047 2.35 0.019 2.453898 27.26152 + 1700 | 7.267116 6.599669 1.10 0.271 -5.673197 20.20743 + 1701 | 2.285583 4.966365 0.46 0.645 -7.452225 12.02339 + 1704 | 5.324566 5.774109 0.92 0.357 -5.997029 16.64616 + 1705 | 2.36007 6.81277 0.35 0.729 -10.99808 15.71822 + 1706 | 7.655716 5.150828 1.49 0.137 -2.44378 17.75521 + 1707 | 15.38417 5.470477 2.81 0.005 4.657922 26.11042 + 1708 | 3.407701 5.021658 0.68 0.497 -6.438525 13.25393 + 1709 | 10.33386 5.739934 1.80 0.072 -.9207243 21.58845 + 1798 | 9.36702 6.904817 1.36 0.175 -4.171614 22.90565 + 1799 | 2.937695 7.987861 0.37 0.713 -12.72452 18.59991 + 1800 | 2.58713 5.020059 0.52 0.606 -7.255959 12.43022 + 1802 | 2.705586 4.766231 0.57 0.570 -6.639811 12.05098 + 1803 | 6.056557 5.550943 1.09 0.275 -4.827465 16.94058 + 1804 | 3.228179 4.973233 0.65 0.516 -6.523096 12.97945 + 1806 | 2.949121 5.498697 0.54 0.592 -7.832459 13.7307 + 1807 | -3.924866 4.604092 -0.85 0.394 -12.95235 5.102617 + 1808 | 16.22014 9.36013 1.73 0.083 -2.13275 34.57303 + 1899 | 16.44776 14.47763 1.14 0.256 -11.93928 44.83479 + 1900 | 4.282154 5.414265 0.79 0.429 -6.333876 14.89818 + 1901 | 9.851362 5.081557 1.94 0.053 -.1123103 19.81504 + 1902 | 10.61136 5.510286 1.93 0.054 -.1929393 21.41567 + 1905 | 28.39463 9.440354 3.01 0.003 9.884437 46.90482 + 1906 | 8.055388 5.261945 1.53 0.126 -2.261981 18.37276 + 1907 | 6.278232 5.323809 1.18 0.238 -4.160438 16.7169 + 1908 | 6.124101 8.401286 0.73 0.466 -10.34874 22.59694 + 1909 | 1.51092 5.96709 0.25 0.800 -10.18906 13.2109 + 1910 | 6.877881 6.748658 1.02 0.308 -6.354564 20.11033 + 1911 | 9.472486 6.817092 1.39 0.165 -3.89414 22.83911 + 1912 | 19.79468 23.83831 0.83 0.406 -26.94633 66.53569 + 1914 | 10.41859 5.731276 1.82 0.069 -.8190206 21.6562 + 1915 | -5.881634 5.322033 -1.11 0.269 -16.31682 4.553552 + 1919 | 2.508945 5.280487 0.48 0.635 -7.84478 12.86267 + 1920 | 18.46465 6.67653 2.77 0.006 5.373628 31.55567 + 1925 | 19.39128 5.714951 3.39 0.001 8.185675 30.59688 + 1926 | 9.835683 5.209818 1.89 0.059 -.379478 20.05084 + 1927 | 8.491482 5.50621 1.54 0.123 -2.304829 19.28779 + 1929 | 9.605279 6.093483 1.58 0.115 -2.34253 21.55309 + 1999 | 14.6217 16.11314 0.91 0.364 -16.97217 46.21557 + 2000 | 3.235877 4.814355 0.67 0.502 -6.203879 12.67563 + 2001 | 6.293793 5.353686 1.18 0.240 -4.203457 16.79104 + 2002 | 7.060474 4.999331 1.41 0.158 -2.741973 16.86292 + 2003 | 25.52286 6.843717 3.73 0.000 12.10403 38.94169 + 2004 | 9.978293 4.918836 2.03 0.043 .3336754 19.62291 + 2005 | -2.535964 5.528325 -0.46 0.646 -13.37564 8.30371 + 2006 | 83.09473 8.835129 9.41 0.000 65.77123 100.4182 + 2007 | 9.305189 5.786736 1.61 0.108 -2.041165 20.65154 + 2008 | 6.374641 4.644153 1.37 0.170 -2.731391 15.48067 + 2009 | 14.74435 8.630407 1.71 0.088 -2.177735 31.66644 + 2011 | 6.85212 4.846124 1.41 0.157 -2.649927 16.35417 + 2012 | 6.969675 4.957758 1.41 0.160 -2.751258 16.69061 + 2013 | 7.361137 5.700692 1.29 0.197 -3.816507 18.53878 + 2014 | 4.722072 5.985408 0.79 0.430 -7.013828 16.45797 + 2015 | 7.823971 6.379077 1.23 0.220 -4.683817 20.33176 + 2030 | 21.6808 8.175626 2.65 0.008 5.650424 37.71117 + 2099 | 25.46124 9.511388 2.68 0.007 6.811768 44.11071 + 2100 | -1.956635 4.617547 -0.42 0.672 -11.0105 7.097229 + 2101 | 6.234932 4.677022 1.33 0.183 -2.935548 15.40541 + 2102 | 2.145377 4.694864 0.46 0.648 -7.060086 11.35084 + 2103 | 4.278369 4.657041 0.92 0.358 -4.852933 13.40967 + 2104 | -1.047339 4.589322 -0.23 0.819 -10.04586 7.951182 + 2105 | 17.49523 8.381071 2.09 0.037 1.062032 33.92843 + 2199 | -6.057975 4.7985 -1.26 0.207 -15.46664 3.350693 + 9999 | 52.33215 15.00057 3.49 0.000 22.91976 81.74454 + | + house_administration | 1.451269 1.864386 0.78 0.436 -2.20433 5.106867 + house_agriculture | 2.196102 1.138738 1.93 0.054 -.0366802 4.428884 + house_appropriations | -2.740183 1.809272 -1.51 0.130 -6.287718 .8073508 + house_armedservices | 6.551903 1.566922 4.18 0.000 3.479557 9.624249 + house_budget | 6.294202 2.58709 2.43 0.015 1.22156 11.36684 + house_dc | -4.743123 4.564291 -1.04 0.299 -13.69257 4.206319 + house_educlabor | 3.721969 .9953355 3.74 0.000 1.770363 5.673575 + house_energycommerce | 4.146301 .7267843 5.70 0.000 2.721258 5.571345 + house_foreignaffairs | 3.944912 1.544427 2.55 0.011 .9166727 6.973151 + house_governmentop | 7.770425 2.192794 3.54 0.000 3.4709 12.06995 + house_intelligence | 5.947226 5.187113 1.15 0.252 -4.223415 16.11787 + house_interior | 1.136139 1.559323 0.73 0.466 -1.921306 4.193584 + house_judiciary | 3.217206 .7980324 4.03 0.000 1.652462 4.78195 + house_mmf | .5266923 1.676848 0.31 0.753 -2.761192 3.814576 + house_pocs | 2.101028 1.896391 1.11 0.268 -1.617324 5.81938 + house_pwt | 3.916531 1.404332 2.79 0.005 1.162985 6.670077 + house_rules | 5.200984 1.597379 3.26 0.001 2.068919 8.333048 + house_sst | 7.004209 2.815463 2.49 0.013 1.483783 12.52463 + house_smallbusi | -4.279039 1.688719 -2.53 0.011 -7.590197 -.9678804 + house_soc | -9.418749 6.824546 -1.38 0.168 -22.79999 3.962493 + house_veterans | 1.325064 1.634836 0.81 0.418 -1.880444 4.530572 + house_waysandmeans | 3.086243 .6830801 4.52 0.000 1.746892 4.425593 +house_naturalresources | .3128253 1.205287 0.26 0.795 -2.050444 2.676095 + house_bfs | .8302776 1.161703 0.71 0.475 -1.447535 3.10809 + house_eeo | 1.143953 2.237779 0.51 0.609 -3.243777 5.531682 + house_govreform | 4.011596 1.173799 3.42 0.001 1.710067 6.313125 + house_ir | 4.094912 1.355318 3.02 0.003 1.437471 6.752354 + house_natsecur | 10.01397 3.212767 3.12 0.002 3.714536 16.31341 + house_oversight | .3164858 1.785734 0.18 0.859 -3.184895 3.817866 + house_resources | -.9940584 .9511046 -1.05 0.296 -2.858939 .8708218 + house_science | -.4926218 1.501589 -0.33 0.743 -3.436865 2.451621 + house_transp | 1.901996 .9487856 2.00 0.045 .0416624 3.762329 + house_homeland | -.2002996 1.681146 -0.12 0.905 -3.496609 3.09601 + sponsor_democrat_l1 | .1954777 .5328004 0.37 0.714 -.8492116 1.240167 + sponsor_rookie_l1 | .0927628 .7620102 0.12 0.903 -1.40135 1.586876 + sponsor_tenure_run_l1 | .2742097 .0871779 3.15 0.002 .1032756 .4451439 + sponsor_age_l1 | -.0150825 .0289263 -0.52 0.602 -.0717998 .0416349 + leader_l1 | .8034471 .7316561 1.10 0.272 -.631149 2.238043 + ivycoll_l1 | -.6945475 .7167173 -0.97 0.333 -2.099852 .7107573 + black_l1 | 3.181582 1.493712 2.13 0.033 .2527832 6.11038 + occ0_l1 | 3.05115 .8316152 3.67 0.000 1.420559 4.681741 + occ1_l1 | 2.280193 .9023667 2.53 0.012 .5108754 4.04951 + occ2_l1 | 1.188896 .6748146 1.76 0.078 -.1342482 2.51204 + occ3_l1 | -.8019136 .9870759 -0.81 0.417 -2.737324 1.133497 + occ4_l1 | 1.777969 .7416612 2.40 0.017 .3237554 3.232183 + borninstate_l1 | 1.772983 .4664786 3.80 0.000 .8583342 2.687632 + tot_bills | -.1750396 .0166098 -10.54 0.000 -.2076074 -.1424719 + NE | -3.307352 .7582034 -4.36 0.000 -4.794 -1.820703 + MW | -1.35649 .7155446 -1.90 0.058 -2.759495 .0465157 + WE | -.2753982 .808735 -0.34 0.733 -1.861127 1.310331 + pct_black | -4.765782 2.973377 -1.60 0.109 -10.59584 1.064272 + pct_urban | -.7005444 1.595042 -0.44 0.661 -3.828026 2.426938 + pct_for_born | -6.850962 3.733333 -1.84 0.067 -14.1711 .469177 + pct_age_over65 | 7.09682 6.882392 1.03 0.303 -6.397842 20.59148 + lninc | 3.803426 1.593089 2.39 0.017 .6797744 6.927079 + lnpden | .4181508 .2437726 1.72 0.086 -.0598268 .8961285 + _cons | -35.58892 16.20104 -2.20 0.028 -67.35515 -3.822693 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 3,013 1 0 1 1 + + +j = 1 k = 2 + + +rdbwselect_2014 numb_cosponsors MV1_female_l1 if sponsor_party_l1==100 & tag_bill==1 & sponsor_female==0, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 1870 +----------------------+---------------------- NN matches = 3 + Number of obs | 1347 523 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of MV1_female_l1 | 99.685 73.923 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 12.83814 24.42237 .5256713 +---------------------------------------------- +reg numb_cosponsors sponsor_female_l1 i.v2 i.minor house_* sponsor_democrat_l1 sponsor_rookie_l1 sponsor_tenure_run_l1 sponsor_age_l1 leader_l1 ivycoll_l1 black_l1 +> occ0_l1 occ1_l1 occ2_l1 occ3_l1 occ4_l1 borninstate_l1 tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if sponsor_party_l1==100 & t +> ag_bill==1 & sponsor_female==0, robust cluster(group_sponsor) +note: sponsor_democrat_l1 omitted because of collinearity + +Linear regression Number of obs = 18,404 + F(281, 1478) = . + Prob > F = . + R-squared = 0.1085 + Root MSE = 34.382 + + (Std. Err. adjusted for 1,479 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female_l1 | -.0518627 1.94789 -0.03 0.979 -3.872785 3.76906 + | + v2 | + 103 | -5.8844 1.84139 -3.20 0.001 -9.496416 -2.272385 + 104 | -9.728786 1.933452 -5.03 0.000 -13.52139 -5.936185 + 105 | -5.204413 1.961859 -2.65 0.008 -9.052738 -1.356089 + 106 | -2.275084 2.007495 -1.13 0.257 -6.212926 1.662758 + 108 | -.5194429 5.751494 -0.09 0.928 -11.8014 10.76252 + 109 | -1.119542 5.71791 -0.20 0.845 -12.33562 10.09654 + 110 | 3.418087 5.685595 0.60 0.548 -7.734608 14.57078 + | + minor | + 101 | -4.133723 8.775612 -0.47 0.638 -21.3477 13.08026 + 103 | -14.40099 8.862027 -1.63 0.104 -31.78448 2.982496 + 104 | -1.861238 8.98501 -0.21 0.836 -19.48597 15.76349 + 105 | -1.434033 8.998622 -0.16 0.873 -19.08546 16.2174 + 107 | 2.617399 8.788268 0.30 0.766 -14.62141 19.8562 + 108 | 2.003976 9.681023 0.21 0.836 -16.98603 20.99398 + 200 | 12.36829 9.725282 1.27 0.204 -6.708537 31.44511 + 201 | 9.965338 11.33813 0.88 0.380 -12.27519 32.20587 + 202 | 27.18875 12.07134 2.25 0.024 3.509973 50.86753 + 204 | 27.87003 16.61634 1.68 0.094 -4.72409 60.46415 + 205 | 73.77923 46.82311 1.58 0.115 -18.06759 165.6261 + 206 | 6.574489 9.735627 0.68 0.500 -12.52263 25.67161 + 207 | 20.06386 11.07216 1.81 0.070 -1.654961 41.78268 + 208 | 3.811402 9.034488 0.42 0.673 -13.91038 21.53319 + 299 | 22.25207 20.8851 1.07 0.287 -18.71553 63.21967 + 300 | 9.525413 10.15483 0.94 0.348 -10.39401 29.44483 + 301 | 7.266425 9.071274 0.80 0.423 -10.52752 25.06037 + 302 | 13.95416 9.060513 1.54 0.124 -3.818672 31.72699 + 321 | 4.101054 9.118485 0.45 0.653 -13.78549 21.9876 + 322 | 2.133101 9.005214 0.24 0.813 -15.53126 19.79746 + 323 | 17.24346 9.137811 1.89 0.059 -.680995 35.16792 + 324 | -.4905613 8.80114 -0.06 0.956 -17.75462 16.77349 + 325 | 9.006499 9.205515 0.98 0.328 -9.050766 27.06376 + 331 | 12.7822 9.403321 1.36 0.174 -5.663079 31.22747 + 332 | 15.6305 9.345743 1.67 0.095 -2.701836 33.96283 + 333 | 32.88021 11.10666 2.96 0.003 11.09371 54.6667 + 334 | 14.95346 9.212948 1.62 0.105 -3.118386 33.0253 + 335 | 9.773456 9.310172 1.05 0.294 -8.489102 28.03601 + 336 | 22.35545 10.42295 2.14 0.032 1.910094 42.8008 + 341 | 9.271993 9.31199 1.00 0.320 -8.994131 27.53812 + 342 | 2.691033 8.985974 0.30 0.765 -14.93559 20.31765 + 343 | -.3968643 9.509187 -0.04 0.967 -19.0498 18.25608 + 344 | 2.683028 9.344658 0.29 0.774 -15.64718 21.01323 + 398 | 22.83371 10.17974 2.24 0.025 2.865432 42.80198 + 399 | 15.07478 12.27357 1.23 0.220 -9.000702 39.15026 + 400 | .0011342 9.195051 0.00 1.000 -18.0356 18.03787 + 401 | 3.252417 9.640578 0.34 0.736 -15.65825 22.16309 + 402 | 2.505391 8.891268 0.28 0.778 -14.93546 19.94624 + 403 | 4.959444 8.991302 0.55 0.581 -12.67763 22.59652 + 404 | 1.802196 9.486105 0.19 0.849 -16.80547 20.40986 + 405 | 22.40316 12.85345 1.74 0.082 -2.809792 47.6161 + 498 | 21.39697 19.92265 1.07 0.283 -17.68271 60.47665 + 499 | 16.82002 21.3828 0.79 0.432 -25.12385 58.76389 + 500 | -1.655758 9.706205 -0.17 0.865 -20.69516 17.38365 + 501 | 1.19056 9.229111 0.13 0.897 -16.91299 19.29411 + 502 | 6.106847 9.542983 0.64 0.522 -12.61239 24.82608 + 503 | 7.572107 8.51795 0.89 0.374 -9.136452 24.28067 + 504 | 29.95443 11.16361 2.68 0.007 8.056218 51.85264 + 505 | 17.21863 10.31508 1.67 0.095 -3.015116 37.45238 + 506 | 18.15493 10.41043 1.74 0.081 -2.265866 38.57572 + 508 | 7.573373 10.0359 0.75 0.451 -12.11274 27.25949 + 529 | 6.87365 11.89942 0.58 0.564 -16.46791 30.21521 + 530 | 5.172161 8.774576 0.59 0.556 -12.03979 22.38411 + 599 | 3.720071 10.2919 0.36 0.718 -16.46821 23.90835 + 600 | 2.619303 9.042485 0.29 0.772 -15.11817 20.35677 + 601 | 6.754608 8.767149 0.77 0.441 -10.44277 23.95199 + 602 | 11.51548 8.821744 1.31 0.192 -5.788995 28.81995 + 603 | 5.724918 9.312536 0.61 0.539 -12.54228 23.99211 + 604 | 1.113581 10.91004 0.10 0.919 -20.28724 22.5144 + 606 | 20.09336 12.89306 1.56 0.119 -5.197285 45.38401 + 607 | 4.250431 8.944468 0.48 0.635 -13.29477 21.79563 + 609 | 3.889518 11.08955 0.35 0.726 -17.86341 25.64245 + 698 | -10.94897 8.841978 -1.24 0.216 -28.29314 6.395187 + 699 | 10.94303 11.01905 0.99 0.321 -10.6716 32.55766 + 700 | 8.000573 9.01701 0.89 0.375 -9.686926 25.68807 + 701 | 3.756501 8.914126 0.42 0.674 -13.72918 21.24219 + 703 | 1.442502 8.876602 0.16 0.871 -15.96958 18.85458 + 704 | 7.242918 9.220146 0.79 0.432 -10.84305 25.32888 + 705 | 11.67621 9.586819 1.22 0.223 -7.129015 30.48143 + 707 | 14.28876 10.12841 1.41 0.159 -5.578829 34.15634 + 708 | 4.38028 9.348917 0.47 0.639 -13.95828 22.71884 + 709 | 18.73737 9.045214 2.07 0.038 .9945454 36.48019 + 710 | 7.019528 9.145744 0.77 0.443 -10.92049 24.95955 + 711 | 13.94554 10.37713 1.34 0.179 -6.409929 34.30101 + 798 | 3.596681 9.556377 0.38 0.707 -15.14883 22.34219 + 799 | 2.300662 11.66172 0.20 0.844 -20.57463 25.17595 + 800 | -3.543659 8.965167 -0.40 0.693 -21.12946 14.04215 + 801 | -4.297839 8.942519 -0.48 0.631 -21.83922 13.24354 + 802 | 1.021751 9.122404 0.11 0.911 -16.87249 18.91599 + 803 | -.1124646 8.766873 -0.01 0.990 -17.3093 17.08437 + 805 | .4439191 9.132247 0.05 0.961 -17.46963 18.35746 + 806 | 2.617061 9.011486 0.29 0.772 -15.0596 20.29372 + 807 | .9345373 9.169284 0.10 0.919 -17.05166 18.92073 + 898 | 4.989292 10.75372 0.46 0.643 -16.10488 26.08347 + 899 | -1.473934 10.1441 -0.15 0.884 -21.3723 18.42444 + 1000 | -4.285348 8.798303 -0.49 0.626 -21.54384 12.97314 + 1001 | -4.60923 8.930786 -0.52 0.606 -22.12759 12.90913 + 1002 | -1.227912 8.846524 -0.14 0.890 -18.58099 16.12517 + 1003 | 2.995041 8.946798 0.33 0.738 -14.55473 20.54481 + 1005 | 7.264211 10.10965 0.72 0.473 -12.56658 27.095 + 1006 | -.8223361 9.008285 -0.09 0.927 -18.49272 16.84805 + 1007 | 2.026539 9.189131 0.22 0.825 -15.99859 20.05167 + 1010 | -.8493514 9.149484 -0.09 0.926 -18.79671 17.09801 + 1098 | -.7972526 10.39983 -0.08 0.939 -21.19725 19.60274 + 1099 | -2.422708 8.939891 -0.27 0.786 -19.95893 15.11352 + 1200 | 5.993237 12.14108 0.49 0.622 -17.82234 29.80882 + 1201 | 6.160197 9.57263 0.64 0.520 -12.61719 24.93759 + 1202 | 3.224228 9.613348 0.34 0.737 -15.63303 22.08149 + 1203 | 1.715657 8.918792 0.19 0.847 -15.77918 19.2105 + 1204 | 4.080409 9.190571 0.44 0.657 -13.94754 22.10836 + 1205 | 2.984982 9.366248 0.32 0.750 -15.38757 21.35754 + 1206 | 6.347899 9.462999 0.67 0.502 -12.21444 24.91024 + 1207 | -.4909089 8.927071 -0.05 0.956 -18.00199 17.02017 + 1208 | 5.545216 8.857832 0.63 0.531 -11.83004 22.92048 + 1209 | 10.86637 8.991751 1.21 0.227 -6.77158 28.50432 + 1210 | 6.163821 9.112741 0.68 0.499 -11.71146 24.0391 + 1211 | 5.167073 9.789721 0.53 0.598 -14.03615 24.3703 + 1299 | 24.93149 19.35916 1.29 0.198 -13.04287 62.90584 + 1300 | 3.48233 9.886178 0.35 0.725 -15.9101 22.87476 + 1301 | 11.56726 10.04717 1.15 0.250 -8.140971 31.27548 + 1302 | -3.234487 8.850927 -0.37 0.715 -20.5962 14.12723 + 1303 | 9.421918 9.3276 1.01 0.313 -8.874825 27.71866 + 1304 | 16.37698 10.06294 1.63 0.104 -3.362195 36.11615 + 1305 | 3.92824 10.63601 0.37 0.712 -16.93504 24.79153 + 1399 | 8.229461 11.00233 0.75 0.455 -13.35238 29.81131 + 1400 | 12.1552 10.36961 1.17 0.241 -8.185507 32.49592 + 1401 | 3.733671 8.789957 0.42 0.671 -13.50845 20.97579 + 1403 | 6.110281 10.39196 0.59 0.557 -14.27428 26.49484 + 1404 | 10.7264 13.7751 0.78 0.436 -16.29443 37.74724 + 1405 | -.8863419 8.926787 -0.10 0.921 -18.39686 16.62418 + 1406 | 9.438648 9.368025 1.01 0.314 -8.937392 27.81469 + 1407 | 1.875203 9.155155 0.20 0.838 -16.08328 19.83368 + 1408 | 2.313406 9.05428 0.26 0.798 -15.4472 20.07401 + 1409 | 20.35657 10.95841 1.86 0.063 -1.139116 41.85225 + 1410 | 4.990602 9.381945 0.53 0.595 -13.41274 23.39395 + 1499 | -4.66019 8.886287 -0.52 0.600 -22.09127 12.77089 + 1500 | 15.80726 16.46614 0.96 0.337 -16.49222 48.10675 + 1501 | 4.672749 8.979933 0.52 0.603 -12.94202 22.28752 + 1502 | 6.271453 9.196102 0.68 0.495 -11.76735 24.31025 + 1504 | 11.75945 9.618325 1.22 0.222 -7.107571 30.62647 + 1505 | 5.296766 9.095685 0.58 0.560 -12.54506 23.13859 + 1507 | -3.828209 8.961918 -0.43 0.669 -21.40764 13.75122 + 1520 | 1.291328 9.379915 0.14 0.891 -17.10803 19.69069 + 1521 | 2.301765 8.720641 0.26 0.792 -14.80439 19.40792 + 1522 | -.2087017 8.938665 -0.02 0.981 -17.74252 17.32512 + 1523 | 3.3826 8.775952 0.39 0.700 -13.83205 20.59725 + 1524 | 88.44523 36.38372 2.43 0.015 17.076 159.8145 + 1525 | 9.816317 8.943586 1.10 0.273 -7.727156 27.35979 + 1526 | -3.156804 8.836192 -0.36 0.721 -20.48962 14.17601 + 1599 | 15.6663 10.9672 1.43 0.153 -5.846641 37.17924 + 1600 | -4.682544 8.914197 -0.53 0.599 -22.16837 12.80328 + 1602 | 13.48637 13.82739 0.98 0.330 -13.63703 40.60976 + 1603 | -3.102744 10.32425 -0.30 0.764 -23.35449 17.14901 + 1604 | -13.18539 8.983964 -1.47 0.142 -30.80806 4.437289 + 1605 | 5.324034 9.8216 0.54 0.588 -13.94173 24.58979 + 1606 | -6.740229 9.373043 -0.72 0.472 -25.12611 11.64565 + 1608 | 5.324706 8.984767 0.59 0.554 -12.29955 22.94896 + 1609 | 11.57351 9.354772 1.24 0.216 -6.776532 29.92355 + 1610 | 3.580064 10.49553 0.34 0.733 -17.00765 24.16778 + 1611 | -6.764566 9.485522 -0.71 0.476 -25.37108 11.84195 + 1612 | 1.893221 9.423624 0.20 0.841 -16.59188 20.37832 + 1614 | -1.459586 9.863769 -0.15 0.882 -20.80806 17.88889 + 1615 | 6.01834 9.446537 0.64 0.524 -12.51171 24.54839 + 1616 | -4.345932 9.087225 -0.48 0.633 -22.17116 13.4793 + 1617 | -9.749391 9.119265 -1.07 0.285 -27.63747 8.138688 + 1619 | -9.069444 9.035048 -1.00 0.316 -26.79233 8.653437 + 1620 | -.240118 9.563638 -0.03 0.980 -18.99987 18.51963 + 1698 | -7.695594 9.458671 -0.81 0.416 -26.24944 10.85825 + 1699 | 17.06844 10.6224 1.61 0.108 -3.768155 37.90503 + 1700 | 10.46212 10.51483 0.99 0.320 -10.16345 31.0877 + 1701 | 1.941022 9.03724 0.21 0.830 -15.78616 19.66821 + 1704 | 6.41582 12.73572 0.50 0.615 -18.56619 31.39783 + 1705 | 3.941538 11.65606 0.34 0.735 -18.92264 26.80572 + 1706 | .821882 8.962697 0.09 0.927 -16.75908 18.40284 + 1707 | 7.925827 9.035615 0.88 0.381 -9.798166 25.64982 + 1708 | 3.255934 9.300222 0.35 0.726 -14.98711 21.49897 + 1709 | -.0926177 8.804861 -0.01 0.992 -17.36397 17.17874 + 1798 | 16.04346 14.44231 1.11 0.267 -12.28614 44.37306 + 1799 | 4.038524 13.03087 0.31 0.757 -21.52245 29.59949 + 1800 | .7619852 9.356491 0.08 0.935 -17.59143 19.1154 + 1802 | -1.063093 8.949314 -0.12 0.905 -18.6178 16.49162 + 1803 | 2.242956 9.336587 0.24 0.810 -16.07142 20.55733 + 1804 | -.3199743 9.102202 -0.04 0.972 -18.17458 17.53464 + 1806 | 1.370881 10.09138 0.14 0.892 -18.42407 21.16583 + 1807 | -6.909432 8.757373 -0.79 0.430 -24.08763 10.26877 + 1808 | 10.31083 13.43484 0.77 0.443 -16.04255 36.66421 + 1899 | 58.82338 8.7958 6.69 0.000 41.5698 76.07696 + 1900 | 5.136104 9.523601 0.54 0.590 -13.54511 23.81732 + 1901 | 9.101971 9.317085 0.98 0.329 -9.174146 27.37809 + 1902 | 6.649368 9.203521 0.72 0.470 -11.40399 24.70272 + 1905 | 27.32396 14.94963 1.83 0.068 -2.000792 56.64871 + 1906 | 5.098149 9.737026 0.52 0.601 -14.00171 24.19801 + 1907 | 1.824442 9.651083 0.19 0.850 -17.10684 20.75572 + 1908 | -2.903466 11.70914 -0.25 0.804 -25.87178 20.06485 + 1909 | -4.255248 10.39535 -0.41 0.682 -24.64646 16.13596 + 1910 | -1.188478 9.743248 -0.12 0.903 -20.30055 17.92359 + 1911 | 9.395652 11.52875 0.81 0.415 -13.21881 32.01011 + 1912 | 22.89599 30.77068 0.74 0.457 -37.46287 83.25485 + 1914 | 7.591963 10.05392 0.76 0.450 -12.1295 27.31343 + 1915 | -10.35716 9.214533 -1.12 0.261 -28.43211 7.717796 + 1919 | -3.609344 10.06371 -0.36 0.720 -23.35002 16.13134 + 1920 | 14.04536 11.11255 1.26 0.206 -7.752685 35.84341 + 1925 | 17.2446 9.912043 1.74 0.082 -2.198571 36.68777 + 1926 | 6.073532 9.847525 0.62 0.537 -13.24308 25.39015 + 1927 | 9.820261 10.07043 0.98 0.330 -9.933601 29.57412 + 1929 | 4.848984 10.45986 0.46 0.643 -15.66877 25.36674 + 1999 | 64.53198 8.855478 7.29 0.000 47.16134 81.90262 + 2000 | -.5699556 9.074727 -0.06 0.950 -18.37067 17.23076 + 2001 | 2.174704 9.986075 0.22 0.828 -17.41368 21.76309 + 2002 | 5.051788 9.491358 0.53 0.595 -13.56618 23.66975 + 2003 | 35.60697 12.7667 2.79 0.005 10.56419 60.64974 + 2004 | 12.84626 9.179995 1.40 0.162 -5.160941 30.85347 + 2005 | -6.778087 10.59341 -0.64 0.522 -27.5578 14.00162 + 2006 | 87.24278 14.63409 5.96 0.000 58.53699 115.9486 + 2007 | 2.225402 9.703305 0.23 0.819 -16.80831 21.25912 + 2008 | 2.114428 8.643341 0.24 0.807 -14.84009 19.06895 + 2009 | 16.92872 15.38151 1.10 0.271 -13.24319 47.10064 + 2011 | 1.324602 9.086571 0.15 0.884 -16.49935 19.14855 + 2012 | 5.009582 9.134509 0.55 0.583 -12.9084 22.92756 + 2013 | 7.923139 9.663753 0.82 0.412 -11.03299 26.87927 + 2014 | 6.208727 12.37006 0.50 0.616 -18.05602 30.47347 + 2015 | 16.07528 11.10627 1.45 0.148 -5.710446 37.861 + 2030 | 30.75502 12.85679 2.39 0.017 5.535529 55.97451 + 2099 | 21.23156 13.4765 1.58 0.115 -5.203551 47.66667 + 2100 | -6.243012 8.713849 -0.72 0.474 -23.33584 10.84982 + 2101 | 1.868614 8.730927 0.21 0.831 -15.25771 18.99494 + 2102 | -.081394 8.916746 -0.01 0.993 -17.57222 17.40943 + 2103 | 4.161455 8.775029 0.47 0.635 -13.05138 21.37429 + 2104 | -4.702534 8.654964 -0.54 0.587 -21.67986 12.27479 + 2105 | 24.52659 14.9964 1.64 0.102 -4.889896 53.94308 + 2199 | -5.418263 8.904047 -0.61 0.543 -22.88418 12.04765 + 9999 | 39.29243 20.73147 1.90 0.058 -1.373797 79.95866 + | + house_administration | 2.355475 3.226636 0.73 0.465 -3.973798 8.684748 + house_agriculture | .9480954 1.47154 0.64 0.519 -1.938434 3.834625 + house_appropriations | -2.812631 2.730725 -1.03 0.303 -8.16914 2.543879 + house_armedservices | 7.85974 2.231169 3.52 0.000 3.483145 12.23634 + house_budget | 2.093622 3.205423 0.65 0.514 -4.194041 8.381285 + house_dc | -11.64466 8.744856 -1.33 0.183 -28.79831 5.508991 + house_educlabor | 5.900727 1.339916 4.40 0.000 3.272388 8.529067 + house_energycommerce | 2.869213 .949722 3.02 0.003 1.006266 4.732159 + house_foreignaffairs | 4.686651 2.110544 2.22 0.027 .5466708 8.82663 + house_governmentop | 7.681563 3.487035 2.20 0.028 .8414999 14.52163 + house_intelligence | 5.949778 6.233752 0.95 0.340 -6.278165 18.17772 + house_interior | .2759547 2.054172 0.13 0.893 -3.753447 4.305357 + house_judiciary | 2.279477 1.131189 2.02 0.044 .0605692 4.498384 + house_mmf | -1.701074 2.341999 -0.73 0.468 -6.29507 2.892921 + house_pocs | -.9894107 2.7144 -0.36 0.716 -6.313897 4.335075 + house_pwt | 3.956337 1.809291 2.19 0.029 .4072856 7.505389 + house_rules | 4.566867 2.545195 1.79 0.073 -.4257125 9.559447 + house_sst | 5.378297 2.901866 1.85 0.064 -.3139165 11.07051 + house_smallbusi | -3.181305 2.194719 -1.45 0.147 -7.4864 1.12379 + house_soc | -3.527147 12.85305 -0.27 0.784 -28.73931 21.68502 + house_veterans | 2.336487 2.36946 0.99 0.324 -2.311375 6.984349 + house_waysandmeans | 2.737926 .9526768 2.87 0.004 .8691832 4.606668 +house_naturalresources | -1.300227 1.682932 -0.77 0.440 -4.601416 2.000963 + house_bfs | 1.279915 1.532212 0.84 0.404 -1.725627 4.285457 + house_eeo | 1.014277 2.347664 0.43 0.666 -3.590832 5.619386 + house_govreform | 5.271459 1.832048 2.88 0.004 1.677768 8.86515 + house_ir | 3.695968 1.852621 1.99 0.046 .0619217 7.330014 + house_natsecur | 13.60407 4.568937 2.98 0.003 4.641779 22.56636 + house_oversight | -.7626669 2.621527 -0.29 0.771 -5.904977 4.379644 + house_resources | .7046389 1.500083 0.47 0.639 -2.237879 3.647157 + house_science | -2.015929 2.080483 -0.97 0.333 -6.096943 2.065085 + house_transp | 2.501165 1.357993 1.84 0.066 -.1626331 5.164963 + house_homeland | -2.883839 2.264465 -1.27 0.203 -7.325745 1.558068 + sponsor_democrat_l1 | 0 (omitted) + sponsor_rookie_l1 | .7936224 1.171852 0.68 0.498 -1.505048 3.092293 + sponsor_tenure_run_l1 | .4276365 .126232 3.39 0.001 .1800235 .6752495 + sponsor_age_l1 | -.0604758 .0401921 -1.50 0.133 -.1393153 .0183638 + leader_l1 | 1.067264 1.16725 0.91 0.361 -1.222379 3.356908 + ivycoll_l1 | -1.417374 .8636219 -1.64 0.101 -3.111429 .276681 + black_l1 | 1.218111 1.842816 0.66 0.509 -2.396701 4.832924 + occ0_l1 | 2.222982 1.098264 2.02 0.043 .0686598 4.377304 + occ1_l1 | 2.1793 1.168496 1.87 0.062 -.1127881 4.471388 + occ2_l1 | .6732876 .9276039 0.73 0.468 -1.146273 2.492848 + occ3_l1 | .6025875 1.37797 0.44 0.662 -2.100398 3.305573 + occ4_l1 | .2177835 1.366372 0.16 0.873 -2.462451 2.898018 + borninstate_l1 | 2.632051 .66859 3.94 0.000 1.320564 3.943537 + tot_bills | -.2008333 .0193785 -10.36 0.000 -.2388456 -.162821 + NE | -2.537076 1.167354 -2.17 0.030 -4.826923 -.2472282 + MW | -.0960102 1.11671 -0.09 0.931 -2.286516 2.094496 + WE | .9637338 1.264311 0.76 0.446 -1.5163 3.443768 + pct_black | -.0637179 4.015619 -0.02 0.987 -7.940637 7.813202 + pct_urban | 1.473901 2.340186 0.63 0.529 -3.116539 6.064341 + pct_for_born | -3.442621 4.786316 -0.72 0.472 -12.83132 5.946074 + pct_age_over65 | 2.973689 11.94536 0.25 0.803 -20.45797 26.40535 + lninc | 4.34469 2.127114 2.04 0.041 .1722066 8.517173 + lnpden | .0929156 .3619485 0.26 0.797 -.6170719 .8029031 + _cons | -34.18696 22.24694 -1.54 0.125 -77.8259 9.451975 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,479 1 0 1 1 + + +j = 1 k = 3 + + +rdbwselect_2014 numb_cosponsors MV1_female_l1 if sponsor_party_l1==200 & tag_bill==1 & sponsor_female==0, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 3274 +----------------------+---------------------- NN matches = 3 + Number of obs | 3103 171 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of MV1_female_l1 | 78.154 29.857 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 8.129319 15.7685 .5155415 +---------------------------------------------- +reg numb_cosponsors sponsor_female_l1 i.v2 i.minor house_* sponsor_democrat_l1 sponsor_rookie_l1 sponsor_tenure_run_l1 sponsor_age_l1 leader_l1 ivycoll_l1 black_l1 +> occ0_l1 occ1_l1 occ2_l1 occ3_l1 occ4_l1 borninstate_l1 tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if sponsor_party_l1==200 & t +> ag_bill==1 & sponsor_female==0, robust cluster(group_sponsor) +note: sponsor_democrat_l1 omitted because of collinearity + +Linear regression Number of obs = 18,529 + F(285, 1526) = . + Prob > F = . + R-squared = 0.1035 + Root MSE = 33.565 + + (Std. Err. adjusted for 1,527 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female_l1 | 2.756797 3.258827 0.85 0.398 -3.635456 9.149051 + | + v2 | + 103 | -2.227589 2.1949 -1.01 0.310 -6.532928 2.07775 + 104 | .9972248 2.207603 0.45 0.652 -3.333032 5.327482 + 105 | 2.568993 2.176943 1.18 0.238 -1.701124 6.83911 + 106 | 2.388289 2.201165 1.09 0.278 -1.92934 6.705918 + 108 | 6.253607 5.324446 1.17 0.240 -4.190399 16.69761 + 109 | 6.411875 5.305338 1.21 0.227 -3.994651 16.8184 + 110 | 1.651031 5.273692 0.31 0.754 -8.693419 11.99548 + | + minor | + 101 | -1.36092 4.50969 -0.30 0.763 -10.20677 7.484927 + 103 | 17.27997 14.01701 1.23 0.218 -10.21468 44.77462 + 104 | 12.94446 5.690953 2.27 0.023 1.781546 24.10738 + 105 | 10.07959 4.377663 2.30 0.021 1.492721 18.66647 + 107 | 17.56351 3.911443 4.49 0.000 9.891137 25.23588 + 108 | 9.062099 6.779099 1.34 0.181 -4.235238 22.35944 + 110 | -4.988239 4.782344 -1.04 0.297 -14.3689 4.392422 + 200 | 18.27957 5.815735 3.14 0.002 6.871889 29.68725 + 201 | -3.363149 4.784583 -0.70 0.482 -12.7482 6.021905 + 202 | 62.45773 20.0911 3.11 0.002 23.04865 101.8668 + 204 | 19.04247 5.479 3.48 0.001 8.295306 29.78964 + 205 | 47.04057 24.30606 1.94 0.053 -.6362351 94.71738 + 206 | 22.32322 7.698949 2.90 0.004 7.221582 37.42486 + 207 | 30.88765 6.491625 4.76 0.000 18.15419 43.6211 + 208 | 12.51257 4.625485 2.71 0.007 3.43959 21.58555 + 209 | 25.81773 20.54337 1.26 0.209 -14.47849 66.11396 + 299 | 75.70525 20.32162 3.73 0.000 35.84398 115.5665 + 300 | 9.700551 6.356758 1.53 0.127 -2.768355 22.16946 + 301 | 13.38962 4.870534 2.75 0.006 3.83597 22.94327 + 302 | 19.99683 4.432203 4.51 0.000 11.30297 28.69068 + 321 | 23.79131 5.755261 4.13 0.000 12.50225 35.08037 + 322 | 13.58293 4.713832 2.88 0.004 4.33665 22.8292 + 323 | 16.10897 5.608291 2.87 0.004 5.108193 27.10974 + 324 | 8.339331 6.240575 1.34 0.182 -3.901681 20.58034 + 325 | 12.93342 4.53579 2.85 0.004 4.036382 21.83047 + 331 | 27.21906 6.688599 4.07 0.000 14.09924 40.33888 + 332 | 17.41701 5.073254 3.43 0.001 7.465726 27.3683 + 333 | 12.74341 5.224493 2.44 0.015 2.495467 22.99136 + 334 | 22.07385 5.485637 4.02 0.000 11.31366 32.83403 + 335 | 21.98883 7.132872 3.08 0.002 7.997563 35.9801 + 336 | 24.56126 6.161258 3.99 0.000 12.47583 36.64669 + 341 | 17.83034 6.155544 2.90 0.004 5.756114 29.90456 + 342 | 26.68557 10.353 2.58 0.010 6.377952 46.99319 + 343 | 4.528547 4.972043 0.91 0.363 -5.224214 14.28131 + 344 | 50.16007 14.50234 3.46 0.001 21.71344 78.6067 + 398 | 28.5595 5.904779 4.84 0.000 16.97716 40.14184 + 399 | 1.337594 4.663048 0.29 0.774 -7.809066 10.48426 + 400 | 9.614745 5.797001 1.66 0.097 -1.756188 20.98568 + 401 | 8.806822 4.429036 1.99 0.047 .1191806 17.49446 + 402 | 12.1556 4.258616 2.85 0.004 3.802243 20.50896 + 403 | 25.62692 8.263399 3.10 0.002 9.418101 41.83574 + 404 | 20.31641 9.145359 2.22 0.026 2.377603 38.25521 + 405 | 47.7733 20.0547 2.38 0.017 8.435616 87.11099 + 498 | 19.73017 9.922861 1.99 0.047 .2662778 39.19406 + 499 | 18.70242 8.235526 2.27 0.023 2.548275 34.85657 + 500 | 11.27648 8.070697 1.40 0.163 -4.554349 27.10732 + 501 | 20.2563 5.875926 3.45 0.001 8.730556 31.78205 + 502 | 7.022976 4.201033 1.67 0.095 -1.217433 15.26338 + 503 | 13.8027 4.325289 3.19 0.001 5.318563 22.28684 + 504 | 29.75099 6.20644 4.79 0.000 17.57693 41.92504 + 505 | 16.69645 4.738807 3.52 0.000 7.401182 25.99171 + 506 | 20.22952 9.519298 2.13 0.034 1.55723 38.90181 + 508 | 8.57639 4.636207 1.85 0.065 -.5176229 17.6704 + 529 | 26.0926 9.37239 2.78 0.005 7.708468 44.47673 + 530 | 14.48236 4.211587 3.44 0.001 6.221252 22.74347 + 599 | 24.79562 14.78636 1.68 0.094 -4.208113 53.79935 + 600 | 23.21921 7.165964 3.24 0.001 9.163034 37.27539 + 601 | 15.51002 4.207728 3.69 0.000 7.256479 23.76356 + 602 | 16.39286 4.168253 3.93 0.000 8.216752 24.56897 + 603 | 20.14409 8.0536 2.50 0.012 4.346793 35.94139 + 604 | 8.428214 4.529323 1.86 0.063 -.4561423 17.31257 + 606 | 16.21008 6.019571 2.69 0.007 4.402573 28.01759 + 607 | 28.93866 6.950125 4.16 0.000 15.30585 42.57147 + 609 | 14.73666 5.61472 2.62 0.009 3.723275 25.75004 + 698 | 18.43223 5.853223 3.15 0.002 6.951021 29.91345 + 699 | 11.65438 6.920831 1.68 0.092 -1.920972 25.22972 + 700 | 7.437476 4.734605 1.57 0.116 -1.849546 16.7245 + 701 | 7.992628 4.900849 1.63 0.103 -1.620485 17.60574 + 703 | 8.56494 4.393562 1.95 0.051 -.0531188 17.183 + 704 | 12.11717 4.87697 2.48 0.013 2.550896 21.68344 + 705 | 10.89407 4.970253 2.19 0.029 1.144823 20.64332 + 707 | 24.82366 8.403241 2.95 0.003 8.340542 41.30679 + 708 | 21.81743 12.44295 1.75 0.080 -2.589667 46.22453 + 709 | 14.09644 4.120186 3.42 0.001 6.014616 22.17827 + 710 | 8.427812 4.074971 2.07 0.039 .4346755 16.42095 + 711 | 8.593994 4.120344 2.09 0.037 .5118581 16.67613 + 798 | 16.29546 7.342836 2.22 0.027 1.892343 30.69858 + 799 | 5.120022 5.383774 0.95 0.342 -5.440357 15.6804 + 800 | 3.595167 4.679305 0.77 0.442 -5.583383 12.77372 + 801 | .9435836 5.340651 0.18 0.860 -9.53221 11.41938 + 802 | 3.132141 4.343004 0.72 0.471 -5.386746 11.65103 + 803 | 13.66889 4.395594 3.11 0.002 5.046847 22.29094 + 805 | 2.75708 4.626619 0.60 0.551 -6.318125 11.83228 + 806 | 12.77714 4.832568 2.64 0.008 3.297958 22.25631 + 807 | 6.224729 4.946546 1.26 0.208 -3.47802 15.92748 + 898 | 4.301343 7.405146 0.58 0.561 -10.224 18.82668 + 899 | -1.183077 4.198663 -0.28 0.778 -9.418837 7.052683 + 1000 | 10.33452 6.962216 1.48 0.138 -3.321999 23.99105 + 1001 | 6.785175 4.230619 1.60 0.109 -1.513268 15.08362 + 1002 | 9.681663 4.414429 2.19 0.028 1.022674 18.34065 + 1003 | 12.6776 4.672558 2.71 0.007 3.512284 21.84291 + 1005 | 13.88381 6.673237 2.08 0.038 .7941209 26.97349 + 1006 | 20.46864 5.586255 3.66 0.000 9.511088 31.42619 + 1007 | 5.169792 4.034717 1.28 0.200 -2.744385 13.08397 + 1010 | 10.4649 7.77849 1.35 0.179 -4.792766 25.72256 + 1098 | -3.488397 5.493362 -0.64 0.526 -14.26374 7.286942 + 1099 | 2.989529 7.014454 0.43 0.670 -10.76946 16.74852 + 1200 | 20.14863 7.825299 2.57 0.010 4.799155 35.49811 + 1201 | 11.58991 4.875418 2.38 0.018 2.026679 21.15314 + 1202 | 15.24163 7.160409 2.13 0.033 1.196345 29.28691 + 1203 | 9.89757 4.484092 2.21 0.027 1.101934 18.69321 + 1204 | 8.323497 4.206725 1.98 0.048 .0719222 16.57507 + 1205 | 13.53932 5.180555 2.61 0.009 3.377556 23.70108 + 1206 | 9.141956 5.255307 1.74 0.082 -1.166433 19.45035 + 1207 | 17.87539 5.401985 3.31 0.001 7.279287 28.47149 + 1208 | 22.67303 5.514643 4.11 0.000 11.85595 33.49011 + 1209 | 29.46847 5.013981 5.88 0.000 19.63345 39.3035 + 1210 | 15.66308 4.990831 3.14 0.002 5.873463 25.45269 + 1211 | 8.39387 4.49992 1.87 0.062 -.4328117 17.22055 + 1299 | 12.0627 9.614663 1.25 0.210 -6.796647 30.92205 + 1300 | 16.76233 9.138018 1.83 0.067 -1.162069 34.68674 + 1301 | 21.62404 7.68862 2.81 0.005 6.542663 36.70542 + 1302 | 5.71876 4.576649 1.25 0.212 -3.258427 14.69595 + 1303 | 13.97834 4.379573 3.19 0.001 5.387724 22.56896 + 1304 | 26.6703 8.020433 3.33 0.001 10.93806 42.40254 + 1305 | 46.63318 14.34524 3.25 0.001 18.4947 74.77166 + 1399 | 1.158284 4.921738 0.24 0.814 -8.495803 10.81237 + 1400 | 11.7352 5.341271 2.20 0.028 1.258186 22.2122 + 1401 | 24.38909 8.653286 2.82 0.005 7.415496 41.36268 + 1403 | 14.80988 11.90687 1.24 0.214 -8.545675 38.16544 + 1404 | 8.364788 5.616384 1.49 0.137 -2.651859 19.38144 + 1405 | 8.038641 4.776646 1.68 0.093 -1.330844 17.40813 + 1406 | 13.48154 6.069876 2.22 0.026 1.57536 25.38772 + 1407 | 9.258077 4.759787 1.95 0.052 -.0783384 18.59449 + 1408 | 12.71049 5.967539 2.13 0.033 1.005041 24.41593 + 1409 | 13.09535 5.700833 2.30 0.022 1.913049 24.27764 + 1410 | 16.36599 8.275266 1.98 0.048 .1338872 32.59808 + 1499 | 3.441457 5.138647 0.67 0.503 -6.638101 13.52101 + 1500 | 7.756674 5.431813 1.43 0.153 -2.897934 18.41128 + 1501 | 16.61646 5.258906 3.16 0.002 6.301015 26.93191 + 1502 | 9.718748 5.094749 1.91 0.057 -.2747024 19.7122 + 1504 | 21.73834 7.101194 3.06 0.002 7.809208 35.66747 + 1505 | 12.3974 5.149414 2.41 0.016 2.296725 22.49808 + 1507 | 14.38328 6.22414 2.31 0.021 2.174505 26.59205 + 1520 | 11.93549 5.470423 2.18 0.029 1.205144 22.66583 + 1521 | 15.53176 4.571786 3.40 0.001 6.564107 24.4994 + 1522 | 10.06956 4.937118 2.04 0.042 .3853023 19.75381 + 1523 | 9.455302 4.076327 2.32 0.020 1.459506 17.4511 + 1524 | 7.137238 6.647261 1.07 0.283 -5.901496 20.17597 + 1525 | 15.7646 6.100891 2.58 0.010 3.79758 27.73162 + 1526 | 15.78272 6.739707 2.34 0.019 2.562653 29.00279 + 1599 | 21.25123 6.849353 3.10 0.002 7.816093 34.68638 + 1600 | .8176892 4.71094 0.17 0.862 -8.422913 10.05829 + 1602 | 31.58233 12.94834 2.44 0.015 6.183902 56.98075 + 1603 | -1.039549 6.4473 -0.16 0.872 -13.68606 11.60696 + 1604 | 13.23685 10.68128 1.24 0.215 -7.714697 34.18839 + 1605 | 23.53994 9.677956 2.43 0.015 4.556434 42.52344 + 1606 | 9.090451 7.68284 1.18 0.237 -5.979592 24.16049 + 1608 | 25.81762 5.691138 4.54 0.000 14.65434 36.9809 + 1609 | 24.81237 4.879807 5.08 0.000 15.24053 34.38421 + 1610 | 25.17289 13.17291 1.91 0.056 -.6660464 51.01182 + 1611 | 2.234812 4.586995 0.49 0.626 -6.762668 11.23229 + 1612 | 11.45259 5.178722 2.21 0.027 1.294426 21.61076 + 1614 | 1.535434 5.115595 0.30 0.764 -8.498906 11.56977 + 1615 | 5.536202 4.268941 1.30 0.195 -2.83741 13.90981 + 1616 | 3.493755 4.243068 0.82 0.410 -4.829107 11.81662 + 1617 | 16.89335 9.027094 1.87 0.061 -.8134704 34.60018 + 1619 | 23.86845 10.74486 2.22 0.026 2.792204 44.9447 + 1620 | 3.010007 4.102118 0.73 0.463 -5.036378 11.05639 + 1698 | -1.171317 4.833233 -0.24 0.809 -10.6518 8.309164 + 1699 | 11.27654 6.770923 1.67 0.096 -2.004764 24.55783 + 1700 | 7.028735 8.105054 0.87 0.386 -8.869488 22.92696 + 1701 | 4.414064 4.541811 0.97 0.331 -4.494788 13.32292 + 1704 | 6.575499 5.236312 1.26 0.209 -3.69563 16.84663 + 1705 | -2.069971 4.041203 -0.51 0.609 -9.99687 5.856928 + 1706 | 15.42494 5.365494 2.87 0.004 4.900414 25.94946 + 1707 | 24.49846 6.7095 3.65 0.000 11.33764 37.65928 + 1708 | 3.950785 4.288747 0.92 0.357 -4.461676 12.36325 + 1709 | 17.86976 6.636416 2.69 0.007 4.852294 30.88722 + 1798 | 4.715496 4.48773 1.05 0.294 -4.087276 13.51827 + 1799 | .5522165 4.32608 0.13 0.898 -7.933476 9.037909 + 1800 | 3.038828 4.233319 0.72 0.473 -5.264911 11.34257 + 1802 | 5.365749 4.014088 1.34 0.182 -2.507964 13.23946 + 1803 | 10.64655 6.717565 1.58 0.113 -2.530087 23.82319 + 1804 | 6.760506 4.666103 1.45 0.148 -2.392147 15.91316 + 1806 | 3.224315 4.017823 0.80 0.422 -4.656723 11.10535 + 1807 | .2543569 3.67121 0.07 0.945 -6.946793 7.455507 + 1808 | 23.28288 18.66724 1.25 0.212 -13.33328 59.89905 + 1899 | 10.37012 13.55668 0.76 0.444 -16.22157 36.9618 + 1900 | 3.169284 5.366978 0.59 0.555 -7.358149 13.69672 + 1901 | 10.13179 4.598302 2.20 0.028 1.112134 19.15146 + 1902 | 15.32099 6.177767 2.48 0.013 3.203175 27.4388 + 1905 | 25.43482 10.8333 2.35 0.019 4.185089 46.68455 + 1906 | 10.34402 5.023008 2.06 0.040 .4912913 20.19675 + 1907 | 7.98568 4.446341 1.80 0.073 -.7359058 16.70727 + 1908 | 14.51353 10.23778 1.42 0.156 -5.568079 34.59514 + 1909 | 5.974771 5.282293 1.13 0.258 -4.386551 16.33609 + 1910 | 15.11311 10.92743 1.38 0.167 -6.321268 36.54748 + 1911 | 7.543037 5.334685 1.41 0.158 -2.921052 18.00713 + 1912 | -1.352443 4.40139 -0.31 0.759 -9.985857 7.28097 + 1914 | 13.16082 5.663618 2.32 0.020 2.051526 24.27012 + 1915 | -1.985649 4.622548 -0.43 0.668 -11.05287 7.08157 + 1919 | 7.821519 4.810576 1.63 0.104 -1.614521 17.25756 + 1920 | 21.87928 6.914272 3.16 0.002 8.316802 35.44176 + 1925 | 20.83942 6.043073 3.45 0.001 8.985809 32.69303 + 1926 | 13.27642 4.676818 2.84 0.005 4.102748 22.45009 + 1927 | 7.746831 5.023578 1.54 0.123 -2.107018 17.60068 + 1929 | 13.40948 6.581246 2.04 0.042 .5002401 26.31873 + 1999 | .2887878 6.209411 0.05 0.963 -11.89109 12.46867 + 2000 | 7.165724 4.064638 1.76 0.078 -.8071439 15.13859 + 2001 | 10.30073 4.828113 2.13 0.033 .8302918 19.77117 + 2002 | 9.761668 4.390381 2.22 0.026 1.149848 18.37349 + 2003 | 17.68335 5.848435 3.02 0.003 6.211526 29.15517 + 2004 | 7.769983 4.071599 1.91 0.057 -.2165383 15.7565 + 2005 | .3227605 4.70909 0.07 0.945 -8.914212 9.559733 + 2006 | 78.47247 10.4607 7.50 0.000 57.95361 98.99133 + 2007 | 18.52753 6.959915 2.66 0.008 4.875523 32.17954 + 2008 | 11.71844 3.988497 2.94 0.003 3.894927 19.54196 + 2009 | 11.47372 6.633805 1.73 0.084 -1.538619 24.48606 + 2011 | 12.28664 4.158636 2.95 0.003 4.129398 20.44389 + 2012 | 9.259743 4.467783 2.07 0.038 .4960987 18.02339 + 2013 | 8.872446 6.226766 1.42 0.154 -3.341478 21.08637 + 2014 | 5.680694 4.767854 1.19 0.234 -3.671545 15.03293 + 2015 | .7754447 4.543411 0.17 0.865 -8.136546 9.687435 + 2030 | 18.73321 9.775594 1.92 0.056 -.4418109 37.90823 + 2099 | 31.2855 13.69076 2.29 0.022 4.430801 58.1402 + 2100 | 2.317781 3.779782 0.61 0.540 -5.096336 9.731898 + 2101 | 10.34276 3.993424 2.59 0.010 2.509576 18.17593 + 2102 | 3.96953 3.741181 1.06 0.289 -3.36887 11.30793 + 2103 | 5.390079 3.791457 1.42 0.155 -2.04694 12.8271 + 2104 | 2.812728 3.744391 0.75 0.453 -4.531969 10.15742 + 2105 | 16.98763 9.050039 1.88 0.061 -.7641971 34.73946 + 2199 | -1.919326 4.201478 -0.46 0.648 -10.16061 6.321956 + 9999 | 63.15253 21.48625 2.94 0.003 21.00683 105.2982 + | + house_administration | 1.30867 2.12008 0.62 0.537 -2.849908 5.467248 + house_agriculture | 2.910568 1.748872 1.66 0.096 -.5198784 6.341014 + house_appropriations | -3.19902 2.521604 -1.27 0.205 -8.145197 1.747157 + house_armedservices | 5.606975 2.269603 2.47 0.014 1.155103 10.05885 + house_budget | 8.359615 3.635925 2.30 0.022 1.227676 15.49155 + house_dc | 2.147373 4.094385 0.52 0.600 -5.883843 10.17859 + house_educlabor | -.4571776 1.376879 -0.33 0.740 -3.157954 2.243599 + house_energycommerce | 5.105857 1.119082 4.56 0.000 2.910755 7.300958 + house_foreignaffairs | 2.924571 1.912512 1.53 0.126 -.8268593 6.676002 + house_governmentop | 7.822158 2.653582 2.95 0.003 2.617104 13.02721 + house_intelligence | 3.269742 7.514583 0.44 0.664 -11.47026 18.00974 + house_interior | 1.364492 1.847776 0.74 0.460 -2.259957 4.98894 + house_judiciary | 4.074983 1.123445 3.63 0.000 1.871324 6.278642 + house_mmf | 4.203138 2.408204 1.75 0.081 -.5206006 8.926877 + house_pocs | 3.723594 2.553654 1.46 0.145 -1.285449 8.732637 + house_pwt | 3.060796 2.18339 1.40 0.161 -1.221967 7.343558 + house_rules | 5.799709 2.022121 2.87 0.004 1.833279 9.766139 + house_sst | 10.73219 6.162755 1.74 0.082 -1.356176 22.82056 + house_smallbusi | -5.529367 2.723844 -2.03 0.043 -10.87224 -.1864929 + house_soc | -15.90533 4.701904 -3.38 0.001 -25.12821 -6.682456 + house_veterans | -.558354 2.227537 -0.25 0.802 -4.927712 3.811004 + house_waysandmeans | 3.364792 .9787524 3.44 0.001 1.44495 5.284635 +house_naturalresources | 2.957714 1.661227 1.78 0.075 -.3008156 6.216243 + house_bfs | .5739554 1.853166 0.31 0.757 -3.061067 4.208978 + house_eeo | 1.007524 3.600142 0.28 0.780 -6.054224 8.069273 + house_govreform | 3.338363 1.556925 2.14 0.032 .2844243 6.392301 + house_ir | 5.586354 1.970127 2.84 0.005 1.72191 9.450797 + house_natsecur | 7.067251 4.598246 1.54 0.125 -1.952301 16.0868 + house_oversight | .0314223 2.510784 0.01 0.990 -4.89353 4.956374 + house_resources | -1.316976 1.232395 -1.07 0.285 -3.734343 1.10039 + house_science | 1.481598 2.145562 0.69 0.490 -2.726965 5.690161 + house_transp | 1.660803 1.345496 1.23 0.217 -.9784135 4.300019 + house_homeland | 2.482359 2.389299 1.04 0.299 -2.204298 7.169016 + sponsor_democrat_l1 | 0 (omitted) + sponsor_rookie_l1 | .3397087 1.048025 0.32 0.746 -1.716014 2.395431 + sponsor_tenure_run_l1 | .1270604 .1208834 1.05 0.293 -.1100548 .3641757 + sponsor_age_l1 | .014178 .040212 0.35 0.724 -.0646986 .0930547 + leader_l1 | .3555202 .8411982 0.42 0.673 -1.294507 2.005547 + ivycoll_l1 | .6704318 1.275086 0.53 0.599 -1.830675 3.171539 + black_l1 | 2.261992 5.436255 0.42 0.677 -8.401328 12.92531 + occ0_l1 | 3.382019 1.228174 2.75 0.006 .972931 5.791106 + occ1_l1 | 2.567067 1.450568 1.77 0.077 -.2782506 5.412384 + occ2_l1 | 1.263629 .9773197 1.29 0.196 -.6534029 3.180661 + occ3_l1 | -1.765736 1.374361 -1.28 0.199 -4.461572 .9300998 + occ4_l1 | 2.762441 .9633076 2.87 0.004 .8728937 4.651988 + borninstate_l1 | 1.187248 .641634 1.85 0.064 -.0713303 2.445825 + tot_bills | -.1544919 .0279186 -5.53 0.000 -.2092547 -.099729 + NE | -3.464108 1.024232 -3.38 0.001 -5.47316 -1.455057 + MW | -1.979614 .9794761 -2.02 0.043 -3.900876 -.0583525 + WE | -1.909392 1.089769 -1.75 0.080 -4.046995 .2282104 + pct_black | -9.100143 4.64602 -1.96 0.050 -18.2134 .0131181 + pct_urban | 2.079066 2.237057 0.93 0.353 -2.308967 6.467098 + pct_for_born | -11.24897 6.460806 -1.74 0.082 -23.92197 1.424031 + pct_age_over65 | 8.856709 8.781898 1.01 0.313 -8.369157 26.08258 + lninc | 3.567916 2.713515 1.31 0.189 -1.754697 8.890529 + lnpden | .1733796 .335722 0.52 0.606 -.4851457 .831905 + _cons | -40.5429 26.8806 -1.51 0.132 -93.26973 12.18393 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,527 1 0 1 1 + + +j = 2 k = 1 + + +rdbwselect_2014 numb_cosponsors MV1_female_l1 if tag_bill==1 & sponsor_female==0, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5144 +----------------------+---------------------- NN matches = 3 + Number of obs | 4450 694 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of MV1_female_l1 | 99.716 73.923 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 9.734343 19.66265 .4950678 +---------------------------------------------- +reg numb_cosponsors sponsor_female_l1 i.v2 MV1_female_l1 female_l1XMV1_female_l1 if tag_bill==1 & sponsor_female==0 & sample==1 & abs(MV1_female_l1)<=9.734343069547 +> 387, robust cluster(group_sponsor) + +Linear regression Number of obs = 1,050 + F(10, 69) = 3.63 + Prob > F = 0.0006 + R-squared = 0.0228 + Root MSE = 30.899 + + (Std. Err. adjusted for 70 clusters in group_sponsor) +----------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------+---------------------------------------------------------------- + sponsor_female_l1 | -5.305135 4.317367 -1.23 0.223 -13.91805 3.307777 + | + v2 | + 103 | 6.103726 3.686307 1.66 0.102 -1.250256 13.45771 + 104 | 4.699149 1.823762 2.58 0.012 1.060844 8.337455 + 105 | 10.00615 3.910407 2.56 0.013 2.205097 17.80719 + 106 | 1.795797 3.030836 0.59 0.555 -4.250556 7.842149 + 108 | 12.50201 3.951465 3.16 0.002 4.619051 20.38496 + 109 | 4.126095 2.300862 1.79 0.077 -.4639993 8.71619 + 110 | -1.242334 3.179993 -0.39 0.697 -7.586247 5.101579 + | + MV1_female_l1 | .7992909 .3818315 2.09 0.040 .037558 1.561024 +female_l1XMV1_female_l1 | .5528784 1.247129 0.44 0.659 -1.935076 3.040833 + _cons | 12.11158 2.505717 4.83 0.000 7.112808 17.11034 +----------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 70 1 0 1 1 + + +j = 2 k = 2 + + +rdbwselect_2014 numb_cosponsors MV1_female_l1 if sponsor_party_l1==100 & tag_bill==1 & sponsor_female==0, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 1870 +----------------------+---------------------- NN matches = 3 + Number of obs | 1347 523 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of MV1_female_l1 | 99.685 73.923 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 12.83814 24.42237 .5256713 +---------------------------------------------- +reg numb_cosponsors sponsor_female_l1 i.v2 MV1_female_l1 female_l1XMV1_female_l1 if sponsor_party_l1==100 & tag_bill==1 & sponsor_female==0 & sample==1 & abs(MV1_fe +> male_l1)<=12.8381406880128, robust cluster(group_sponsor) + +Linear regression Number of obs = 527 + F(10, 32) = 16.49 + Prob > F = 0.0000 + R-squared = 0.0448 + Root MSE = 37.582 + + (Std. Err. adjusted for 33 clusters in group_sponsor) +----------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------+---------------------------------------------------------------- + sponsor_female_l1 | 8.326878 8.714994 0.96 0.347 -9.424984 26.07874 + | + v2 | + 103 | 12.63885 8.049407 1.57 0.126 -3.757254 29.03496 + 104 | 9.090234 3.050462 2.98 0.005 2.876647 15.30382 + 105 | 27.29688 4.198273 6.50 0.000 18.74528 35.84848 + 106 | -3.317599 4.368454 -0.76 0.453 -12.21585 5.58065 + 108 | 15.86939 2.050593 7.74 0.000 11.69247 20.04632 + 109 | -.2264174 4.889203 -0.05 0.963 -10.1854 9.732563 + 110 | 1.89575 6.508128 0.29 0.773 -11.36087 15.15237 + | + MV1_female_l1 | -1.885357 1.154907 -1.63 0.112 -4.237824 .4671111 +female_l1XMV1_female_l1 | 2.693873 1.420411 1.90 0.067 -.1994093 5.587156 + _cons | -1.461482 6.486191 -0.23 0.823 -14.67342 11.75046 +----------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 33 1 0 1 1 + + +j = 2 k = 3 + + +rdbwselect_2014 numb_cosponsors MV1_female_l1 if sponsor_party_l1==200 & tag_bill==1 & sponsor_female==0, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 3274 +----------------------+---------------------- NN matches = 3 + Number of obs | 3103 171 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of MV1_female_l1 | 78.154 29.857 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 8.129319 15.7685 .5155415 +---------------------------------------------- +reg numb_cosponsors sponsor_female_l1 i.v2 MV1_female_l1 female_l1XMV1_female_l1 if sponsor_party_l1==200 & tag_bill==1 & sponsor_female==0 & sample==1 & abs(MV1_fe +> male_l1)<=8.12931863154223, robust cluster(group_sponsor) + +Linear regression Number of obs = 449 + F(10, 33) = 26.83 + Prob > F = 0.0000 + R-squared = 0.0172 + Root MSE = 30.257 + + (Std. Err. adjusted for 34 clusters in group_sponsor) +----------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------+---------------------------------------------------------------- + sponsor_female_l1 | -.9156498 6.275543 -0.15 0.885 -13.68334 11.85204 + | + v2 | + 103 | 2.512532 4.720521 0.53 0.598 -7.091441 12.1165 + 104 | -3.409415 5.252697 -0.65 0.521 -14.09611 7.277276 + 105 | 1.778456 6.592181 0.27 0.789 -11.63344 15.19035 + 106 | -1.455262 6.056683 -0.24 0.812 -13.77768 10.86715 + 108 | 6.794286 8.287052 0.82 0.418 -10.06585 23.65442 + 109 | 3.06387 4.981834 0.62 0.543 -7.071747 13.19949 + 110 | -7.809211 4.527547 -1.72 0.094 -17.02057 1.402151 + | + MV1_female_l1 | -.047088 .790498 -0.06 0.953 -1.655368 1.561192 +female_l1XMV1_female_l1 | -1.481892 1.037479 -1.43 0.163 -3.592659 .6288755 + _cons | 14.09605 5.291426 2.66 0.012 3.330561 24.86153 +----------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 34 1 0 1 1 + + +j = 3 k = 1 + + +rdbwselect_2014 numb_cosponsors MV1_female_l1 if tag_bill==1 & sponsor_female==0, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5144 +----------------------+---------------------- NN matches = 3 + Number of obs | 4450 694 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of MV1_female_l1 | 99.716 73.923 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 9.734343 19.66265 .4950678 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female_l1)) +(57,320 missing values generated) +(61,660 missing values generated) +(4,340 real changes made) +reg numb_cosponsors sponsor_female_l1 i.v2 MV1_female_l1 female_l1XMV1_female_l1 i.minor house_* [aw=wt] if tag_bill==1 & sponsor_female==0 & sample==1 & abs(MV1_fe +> male_l1)<=9.734343069547387, robust cluster(group_sponsor) +(sum of wgt is 2,214.0916852951) +note: house_dc omitted because of collinearity +note: house_soc omitted because of collinearity + +Linear regression Number of obs = 1,050 + F(68, 69) = . + Prob > F = . + R-squared = 0.4713 + Root MSE = 26.993 + + (Std. Err. adjusted for 70 clusters in group_sponsor) +----------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------+---------------------------------------------------------------- + sponsor_female_l1 | -5.985712 5.132829 -1.17 0.248 -16.22543 4.254002 + | + v2 | + 103 | .8510204 4.159267 0.20 0.838 -7.44649 9.148531 + 104 | 1.189861 4.266211 0.28 0.781 -7.320997 9.70072 + 105 | 2.895175 5.147665 0.56 0.576 -7.374136 13.16449 + 106 | -6.235101 3.84538 -1.62 0.109 -13.90642 1.436222 + 108 | 8.234802 6.779072 1.21 0.229 -5.289077 21.75868 + 109 | .9736622 2.778836 0.35 0.727 -4.569963 6.517287 + 110 | 1.52178 3.192836 0.48 0.635 -4.847753 7.891313 + | + MV1_female_l1 | .3204227 .5455662 0.59 0.559 -.7679521 1.408797 +female_l1XMV1_female_l1 | 1.521077 .9922647 1.53 0.130 -.4584365 3.500591 + | + minor | + 101 | -9.465748 11.76109 -0.80 0.424 -32.92848 13.99699 + 105 | 13.05966 13.52898 0.97 0.338 -13.92991 40.04923 + 107 | 2.803322 13.34124 0.21 0.834 -23.81173 29.41837 + 108 | -.5594721 5.161082 -0.11 0.914 -10.85555 9.736605 + 200 | -3.145432 13.82936 -0.23 0.821 -30.73425 24.44339 + 202 | -19.26628 23.73978 -0.81 0.420 -66.62585 28.09329 + 207 | .5126756 10.52355 0.05 0.961 -20.48122 21.50657 + 208 | 3.828725 24.12254 0.16 0.874 -44.29443 51.95188 + 209 | -10.46575 11.76109 -0.89 0.377 -33.92848 12.99699 + 300 | 40.20494 14.04804 2.86 0.006 12.17987 68.23002 + 301 | 19.34045 20.65107 0.94 0.352 -21.85732 60.53821 + 302 | -1.909919 16.20922 -0.12 0.907 -34.24643 30.42659 + 321 | 2.513805 11.71607 0.21 0.831 -20.85912 25.88673 + 322 | -8.922095 15.43839 -0.58 0.565 -39.72083 21.87664 + 323 | 74.17943 81.23535 0.91 0.364 -87.88066 236.2395 + 324 | -13.34211 14.23974 -0.94 0.352 -41.74962 15.06539 + 325 | 7.153609 14.859 0.48 0.632 -22.48928 36.7965 + 331 | -4.695139 17.89571 -0.26 0.794 -40.3961 31.00582 + 332 | 31.30963 16.53703 1.89 0.063 -1.680853 64.3001 + 334 | 38.63409 15.53566 2.49 0.015 7.641299 69.62687 + 336 | 42.8157 30.10543 1.42 0.159 -17.24299 102.8744 + 341 | 10.50477 14.64748 0.72 0.476 -18.71615 39.72569 + 343 | -24.88351 14.98663 -1.66 0.101 -54.78103 5.014003 + 398 | -7.757251 18.00278 -0.43 0.668 -43.67181 28.15731 + 399 | 16.52137 12.66982 1.30 0.197 -8.75422 41.79697 + 400 | -38.09467 20.27034 -1.88 0.064 -78.53289 2.343552 + 401 | -33.02953 24.06509 -1.37 0.174 -81.03807 14.97901 + 402 | -22.90849 18.62189 -1.23 0.223 -60.05816 14.24117 + 403 | -24.62413 14.69162 -1.68 0.098 -53.93311 4.684855 + 404 | -35.56463 19.80797 -1.80 0.077 -75.08044 3.951181 + 498 | -28.00163 20.33076 -1.38 0.173 -68.56038 12.55712 + 499 | -1.220988 11.95964 -0.10 0.919 -25.07981 22.63783 + 501 | 28.3382 19.63987 1.44 0.154 -10.84226 67.51867 + 502 | 11.19447 13.40496 0.84 0.407 -15.54769 37.93663 + 503 | 11.27469 13.73655 0.82 0.415 -16.12897 38.67836 + 504 | 9.280699 10.69403 0.87 0.388 -12.0533 30.6147 + 505 | 4.249334 15.79091 0.27 0.789 -27.25266 35.75133 + 506 | 32.10231 18.2738 1.76 0.083 -4.352915 68.55754 + 508 | -7.911361 13.42389 -0.59 0.558 -34.69129 18.86857 + 530 | 5.67762 10.1159 0.56 0.576 -14.50305 25.85829 + 600 | 8.293205 10.09737 0.82 0.414 -11.85049 28.4369 + 601 | 5.695446 10.62548 0.54 0.594 -15.50181 26.8927 + 602 | 12.51527 14.4222 0.87 0.389 -16.25624 41.28677 + 604 | -9.918423 12.46611 -0.80 0.429 -34.78763 14.95078 + 607 | 25.70875 11.98337 2.15 0.035 1.802576 49.61492 + 698 | -3.918904 14.46732 -0.27 0.787 -32.78042 24.94261 + 699 | 3.980254 10.76934 0.37 0.713 -17.504 25.46451 + 700 | 4.07038 13.56134 0.30 0.765 -22.98376 31.12452 + 701 | -5.070438 13.89985 -0.36 0.716 -32.79989 22.65901 + 703 | -6.480963 12.91686 -0.50 0.617 -32.2494 19.28747 + 704 | -13.67384 15.64894 -0.87 0.385 -44.89262 17.54493 + 705 | .5263294 16.28916 0.03 0.974 -31.96966 33.02232 + 709 | 94.04293 23.38188 4.02 0.000 47.39736 140.6885 + 710 | 20.26175 12.74733 1.59 0.117 -5.168472 45.69198 + 711 | -30.17371 22.09558 -1.37 0.177 -74.25319 13.90577 + 798 | -23.55736 21.61137 -1.09 0.279 -66.67086 19.55614 + 800 | -16.54918 14.48255 -1.14 0.257 -45.44107 12.34271 + 801 | 19.71273 13.71777 1.44 0.155 -7.653482 47.07894 + 802 | -.5548175 12.59687 -0.04 0.965 -25.68488 24.57525 + 803 | -1.208375 14.40696 -0.08 0.933 -29.94948 27.53273 + 805 | -.6789774 15.36389 -0.04 0.965 -31.32909 29.97114 + 806 | -.1712921 12.02629 -0.01 0.989 -24.16308 23.8205 + 807 | -2.914671 11.51085 -0.25 0.801 -25.87819 20.04885 + 898 | -3.918904 14.46732 -0.27 0.787 -32.78042 24.94261 + 1000 | -3.942293 10.16846 -0.39 0.699 -24.22781 16.34323 + 1001 | 5.956264 10.46814 0.57 0.571 -14.92711 26.83964 + 1002 | 4.431185 13.28569 0.33 0.740 -22.07304 30.93541 + 1003 | 10.12896 12.7837 0.79 0.431 -15.37383 35.63174 + 1005 | -3.384989 14.8892 -0.23 0.821 -33.08813 26.31815 + 1006 | -11.84327 12.14513 -0.98 0.333 -36.07215 12.38561 + 1007 | -1.070577 11.08003 -0.10 0.923 -23.17463 21.03348 + 1010 | 6.737212 8.58367 0.78 0.435 -10.38674 23.86117 + 1099 | -5.829175 12.02898 -0.48 0.629 -29.82632 18.16797 + 1201 | -4.580154 11.86323 -0.39 0.701 -28.24665 19.08635 + 1202 | 9.972137 10.7471 0.93 0.357 -11.46773 31.41201 + 1203 | -5.336569 12.27385 -0.43 0.665 -29.82223 19.14909 + 1204 | -2.107912 11.46283 -0.18 0.855 -24.97564 20.75982 + 1205 | 2.4665 13.7087 0.18 0.858 -24.88162 29.81462 + 1206 | 6.834318 11.79048 0.58 0.564 -16.68704 30.35568 + 1207 | 2.976608 11.68051 0.25 0.800 -20.32538 26.2786 + 1208 | -5.707746 10.54723 -0.54 0.590 -26.7489 15.33341 + 1209 | 10.51199 12.59235 0.83 0.407 -14.60907 35.63304 + 1210 | -4.299823 13.39638 -0.32 0.749 -31.02486 22.42521 + 1211 | -4.254319 11.38128 -0.37 0.710 -26.95935 18.45071 + 1301 | 88.71769 74.92179 1.18 0.240 -60.7472 238.1826 + 1302 | -16.70974 17.04774 -0.98 0.330 -50.71905 17.29958 + 1303 | -.3437845 12.35165 -0.03 0.978 -24.98464 24.29707 + 1304 | 2.787187 13.48883 0.21 0.837 -24.1223 29.69667 + 1400 | 5.463598 9.345516 0.58 0.561 -13.1802 24.10739 + 1401 | 3.340826 8.43717 0.40 0.693 -13.49087 20.17252 + 1403 | 3.662145 6.43494 0.57 0.571 -9.175208 16.4995 + 1404 | -3.504356 7.031999 -0.50 0.620 -17.53281 10.5241 + 1405 | 5.935841 12.00458 0.49 0.623 -18.01264 29.88432 + 1406 | 140.3579 84.33671 1.66 0.101 -27.88925 308.605 + 1407 | 23.88906 15.14925 1.58 0.119 -6.332862 54.11099 + 1408 | -9.592818 11.46684 -0.84 0.406 -32.46854 13.28291 + 1409 | 4.226071 5.18727 0.81 0.418 -6.12225 14.57439 + 1410 | 3.246494 3.776064 0.86 0.393 -4.286548 10.77954 + 1500 | -40.16938 31.04591 -1.29 0.200 -102.1043 21.76552 + 1501 | 49.97601 19.99185 2.50 0.015 10.09336 89.85867 + 1502 | -1.315766 14.26883 -0.09 0.927 -29.78131 27.14978 + 1504 | 7.660467 11.67561 0.66 0.514 -15.63174 30.95267 + 1505 | 9.989519 11.21596 0.89 0.376 -12.38572 32.36476 + 1520 | 35.95497 13.61702 2.64 0.010 8.789749 63.12018 + 1521 | -4.830462 11.21348 -0.43 0.668 -27.20074 17.53982 + 1523 | 74.66263 5.832124 12.80 0.000 63.02786 86.2974 + 1525 | -1.80314 10.91605 -0.17 0.869 -23.58007 19.97378 + 1526 | -13.32695 17.19231 -0.78 0.441 -47.62467 20.97077 + 1599 | 18.05285 14.64215 1.23 0.222 -11.15744 47.26314 + 1600 | -17.46964 21.59895 -0.81 0.421 -60.55836 25.61908 + 1602 | 11.77604 12.90275 0.91 0.365 -13.96424 37.51633 + 1605 | 6.624489 29.204 0.23 0.821 -51.63589 64.88487 + 1606 | -6.023272 13.92698 -0.43 0.667 -33.80684 21.7603 + 1608 | 25.54735 14.6117 1.75 0.085 -3.602185 54.69689 + 1609 | 20.72379 14.60458 1.42 0.160 -8.41154 49.85913 + 1611 | -22.27385 30.74204 -0.72 0.471 -83.60255 39.05485 + 1614 | -30.91523 23.62285 -1.31 0.195 -78.04153 16.21107 + 1615 | 18.61212 13.12209 1.42 0.161 -7.565747 44.78998 + 1616 | -4.128456 14.98101 -0.28 0.784 -34.01475 25.75784 + 1617 | 12.6793 13.25944 0.96 0.342 -13.77255 39.13116 + 1619 | -32.9365 29.37172 -1.12 0.266 -91.53147 25.65847 + 1698 | -37.97352 28.6928 -1.32 0.190 -95.21409 19.26704 + 1700 | -8.544154 13.61843 -0.63 0.532 -35.71218 18.62388 + 1701 | 3.559496 13.12453 0.27 0.787 -22.62323 29.74222 + 1704 | .4319166 11.88036 0.04 0.971 -23.26874 24.13258 + 1706 | 14.53213 17.23596 0.84 0.402 -19.85267 48.91693 + 1707 | 18.40808 19.17707 0.96 0.340 -19.84913 56.66529 + 1708 | 4.069328 14.69022 0.28 0.783 -25.23685 33.37551 + 1709 | -9.944124 12.90271 -0.77 0.444 -35.68434 15.79609 + 1798 | -1.266904 10.71594 -0.12 0.906 -22.64462 20.11081 + 1800 | -.3563132 15.91274 -0.02 0.982 -32.10136 31.38874 + 1802 | 2.335066 15.23855 0.15 0.879 -28.065 32.73513 + 1803 | -9.180612 13.36938 -0.69 0.495 -35.8518 17.49058 + 1804 | -11.47593 13.17659 -0.87 0.387 -37.7625 14.81064 + 1807 | -9.006667 11.43667 -0.79 0.434 -31.8222 13.80887 + 1808 | 9.505089 11.17894 0.85 0.398 -12.79628 31.80646 + 1900 | 14.38768 18.95638 0.76 0.450 -23.42927 52.20463 + 1901 | 8.784218 26.75068 0.33 0.744 -44.58192 62.15035 + 1902 | 66.34748 41.61361 1.59 0.115 -16.66939 149.3644 + 1905 | -19.48648 12.17527 -1.60 0.114 -43.77547 4.802512 + 1906 | 86.22358 64.06615 1.35 0.183 -41.58489 214.0321 + 1907 | 7.013109 13.13852 0.53 0.595 -19.19752 33.22373 + 1914 | -10.30791 13.00138 -0.79 0.431 -36.24495 15.62912 + 1919 | 25.71273 13.71777 1.87 0.065 -1.653482 53.07894 + 1920 | -10.72788 11.16899 -0.96 0.340 -33.00941 11.55364 + 1925 | 40.88572 33.8313 1.21 0.231 -26.60587 108.3773 + 1926 | -13.81948 12.84797 -1.08 0.286 -39.45048 11.81153 + 1927 | 15.33432 11.79048 1.30 0.198 -8.187041 38.85568 + 1929 | -15.14588 12.7278 -1.19 0.238 -40.53715 10.2454 + 2000 | 10.08177 17.50045 0.58 0.566 -24.83068 44.99422 + 2001 | -11.5684 11.89777 -0.97 0.334 -35.3038 12.167 + 2002 | -8.313792 15.00603 -0.55 0.581 -38.25001 21.62243 + 2003 | 7.884145 13.52172 0.58 0.562 -19.09096 34.85925 + 2004 | 7.636209 18.01007 0.42 0.673 -28.29289 43.56531 + 2006 | 12.35278 8.13827 1.52 0.134 -3.882623 28.58818 + 2007 | -8.569503 16.16042 -0.53 0.598 -40.80866 23.66965 + 2008 | 4.972434 13.49419 0.37 0.714 -21.94774 31.8926 + 2011 | 1.453099 13.22773 0.11 0.913 -24.93549 27.84169 + 2012 | -13.00486 18.84292 -0.69 0.492 -50.59545 24.58573 + 2013 | 2.852818 13.60752 0.21 0.835 -24.29345 29.99909 + 2014 | 11.58421 10.67296 1.09 0.282 -9.707757 32.87617 + 2099 | -14.62772 15.73542 -0.93 0.356 -46.01902 16.76358 + 2100 | 9.700726 13.18226 0.74 0.464 -16.59716 35.99861 + 2101 | 9.602519 16.31211 0.59 0.558 -22.93924 42.14428 + 2102 | 3.312054 11.52037 0.29 0.775 -19.67046 26.29457 + 2103 | 5.889777 12.5775 0.47 0.641 -19.20164 30.9812 + 2104 | 3.203436 14.68538 0.22 0.828 -26.0931 32.49997 + 2105 | 244.5768 15.1376 16.16 0.000 214.3781 274.7755 + 9999 | -8.07937 10.39439 -0.78 0.440 -28.81561 12.65687 + | + house_administration | 24.43381 21.91557 1.11 0.269 -19.28655 68.15417 + house_agriculture | 43.70883 17.0906 2.56 0.013 9.614022 77.80364 + house_appropriations | .3549008 10.34473 0.03 0.973 -20.28227 20.99207 + house_armedservices | 9.265591 9.831844 0.94 0.349 -10.3484 28.87958 + house_budget | -3.127579 5.833221 -0.54 0.594 -14.76454 8.509378 + house_dc | 0 (omitted) + house_educlabor | 1.361251 5.653285 0.24 0.810 -9.916743 12.63925 + house_energycommerce | 10.80793 8.152351 1.33 0.189 -5.455567 27.07143 + house_foreignaffairs | 4.350108 10.09037 0.43 0.668 -15.77963 24.47985 + house_governmentop | -.6281117 13.91192 -0.05 0.964 -28.38164 27.12542 + house_intelligence | -32.91424 27.54533 -1.19 0.236 -87.86566 22.03719 + house_interior | -1.692814 10.62125 -0.16 0.874 -22.88163 19.496 + house_judiciary | 7.040738 4.224812 1.67 0.100 -1.387532 15.46901 + house_mmf | -27.06481 11.59144 -2.33 0.022 -50.18909 -3.940524 + house_pocs | 32.53057 23.04546 1.41 0.163 -13.44386 78.50501 + house_pwt | 9.440673 5.525003 1.71 0.092 -1.581406 20.46275 + house_rules | -5.199208 6.201319 -0.84 0.405 -17.5705 7.172084 + house_sst | 11.16485 14.45486 0.77 0.443 -17.67181 40.00152 + house_smallbusi | -1.279977 5.27213 -0.24 0.809 -11.79759 9.237635 + house_soc | 0 (omitted) + house_veterans | -9.485442 10.26426 -0.92 0.359 -29.96209 10.9912 + house_waysandmeans | 6.49661 5.820854 1.12 0.268 -5.115675 18.1089 + house_naturalresources | -19.52535 11.14249 -1.75 0.084 -41.75401 2.70332 + house_bfs | -6.955428 9.407775 -0.74 0.462 -25.72343 11.81257 + house_eeo | -27.74514 12.87898 -2.15 0.035 -53.43801 -2.052275 + house_govreform | 8.26849 10.77977 0.77 0.446 -13.23655 29.77353 + house_ir | 17.50446 8.340754 2.10 0.040 .8651145 34.14381 + house_natsecur | 32.94938 25.76252 1.28 0.205 -18.44545 84.34421 + house_oversight | .8563728 10.60888 0.08 0.936 -20.30777 22.02051 + house_resources | -11.73187 6.86358 -1.71 0.092 -25.42433 1.960602 + house_science | -4.187381 6.405427 -0.65 0.515 -16.96586 8.591097 + house_transp | -3.242702 3.913621 -0.83 0.410 -11.05016 4.564757 + house_homeland | -16.14394 8.030097 -2.01 0.048 -32.16355 -.1243376 + _cons | 2.874441 11.20195 0.26 0.798 -19.47284 25.22172 +----------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 70 1 0 1 1 + + +j = 3 k = 2 + + +rdbwselect_2014 numb_cosponsors MV1_female_l1 if sponsor_party_l1==100 & tag_bill==1 & sponsor_female==0, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 1870 +----------------------+---------------------- NN matches = 3 + Number of obs | 1347 523 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of MV1_female_l1 | 99.685 73.923 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 12.83814 24.42237 .5256713 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female_l1)) +(60,503 missing values generated) +(61,885 missing values generated) +(796 real changes made) +reg numb_cosponsors sponsor_female_l1 i.v2 MV1_female_l1 female_l1XMV1_female_l1 i.minor house_* [aw=wt] if sponsor_party_l1==100 & tag_bill==1 & sponsor_female==0 +> & sample==1 & abs(MV1_female_l1)<=12.8381406880128, robust cluster(group_sponsor) +(sum of wgt is 527) +note: house_dc omitted because of collinearity +note: house_intelligence omitted because of collinearity +note: house_soc omitted because of collinearity + +Linear regression Number of obs = 527 + F(31, 32) = . + Prob > F = . + R-squared = 0.4456 + Root MSE = 34.324 + + (Std. Err. adjusted for 33 clusters in group_sponsor) +----------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------+---------------------------------------------------------------- + sponsor_female_l1 | 17.49217 9.620185 1.82 0.078 -2.103509 37.08784 + | + v2 | + 103 | 19.22987 12.92162 1.49 0.146 -7.090599 45.55035 + 104 | 11.15082 9.427536 1.18 0.246 -8.052444 30.35408 + 105 | 24.12812 9.203992 2.62 0.013 5.380203 42.87604 + 106 | 4.092453 9.618463 0.43 0.673 -15.49971 23.68462 + 108 | 19.23705 10.11461 1.90 0.066 -1.365744 39.83984 + 109 | 8.534586 9.218432 0.93 0.361 -10.24274 27.31192 + 110 | 8.728066 9.209889 0.95 0.350 -10.03186 27.488 + | + MV1_female_l1 | -1.445481 .9513421 -1.52 0.138 -3.383302 .4923394 +female_l1XMV1_female_l1 | 1.079129 1.144919 0.94 0.353 -1.252994 3.411252 + | + minor | + 104 | 17.18801 11.08226 1.55 0.131 -5.385822 39.76184 + 105 | 77.25929 34.97034 2.21 0.034 6.027045 148.4915 + 107 | 5.562515 20.60323 0.27 0.789 -36.40489 47.52992 + 108 | 5.038864 12.6893 0.40 0.694 -20.8084 30.88613 + 200 | -39.50717 47.59262 -0.83 0.413 -136.4502 57.43582 + 202 | -60.7065 32.51224 -1.87 0.071 -126.9318 5.518763 + 207 | -2.67858 17.23074 -0.16 0.877 -37.77646 32.4193 + 208 | -45.38834 56.73357 -0.80 0.430 -160.9508 70.17416 + 300 | 15.76196 30.10052 0.52 0.604 -45.55079 77.07471 + 301 | 17.09948 32.28188 0.53 0.600 -48.65656 82.85552 + 302 | 3.223664 34.78536 0.09 0.927 -67.6318 74.07913 + 322 | 2.837469 23.77702 0.12 0.906 -45.59474 51.26968 + 323 | 69.60576 109.9572 0.63 0.531 -154.3698 293.5813 + 324 | -22.45311 27.48627 -0.82 0.420 -78.44081 33.53458 + 325 | 12.97351 26.20178 0.50 0.624 -40.39777 66.3448 + 331 | -7.841708 31.48887 -0.25 0.805 -71.98243 56.29902 + 332 | 41.73686 33.97212 1.23 0.228 -27.4621 110.9358 + 334 | 39.26339 32.77685 1.20 0.240 -27.50088 106.0277 + 336 | 50.99462 43.44968 1.17 0.249 -37.50948 139.4987 + 343 | -11.43614 28.48519 -0.40 0.691 -69.45858 46.58629 + 398 | -4.164924 33.04616 -0.13 0.900 -71.47776 63.14791 + 400 | -24.73527 32.57346 -0.76 0.453 -91.08524 41.61471 + 402 | 10.21088 31.98707 0.32 0.752 -54.94465 75.36641 + 403 | -8.504603 27.95943 -0.30 0.763 -65.45609 48.44689 + 501 | 42.34306 34.1366 1.24 0.224 -27.19092 111.877 + 502 | 23.17648 19.66122 1.18 0.247 -16.87211 63.22507 + 503 | 17.11964 22.8402 0.75 0.459 -29.40432 63.64361 + 504 | 18.01222 15.11339 1.19 0.242 -12.77274 48.79718 + 505 | 2.833151 16.53438 0.17 0.865 -30.84629 36.51259 + 506 | 34.12626 28.29772 1.21 0.237 -23.5143 91.76682 + 508 | 17.68587 23.17033 0.76 0.451 -29.51054 64.88228 + 530 | 12.91693 17.40725 0.74 0.463 -22.54049 48.37434 + 600 | 14.4173 15.54859 0.93 0.361 -17.25415 46.08874 + 601 | 12.32473 14.48251 0.85 0.401 -17.17517 41.82463 + 602 | 21.51834 19.71403 1.09 0.283 -18.63782 61.6745 + 604 | 19.09933 20.68847 0.92 0.363 -23.0417 61.24035 + 607 | 19.80498 18.77597 1.05 0.299 -18.44042 58.05038 + 698 | -18.07906 19.11596 -0.95 0.351 -57.01699 20.85887 + 700 | 22.12523 24.9781 0.89 0.382 -28.7535 73.00396 + 703 | 16.23643 22.26149 0.73 0.471 -29.10873 61.5816 + 704 | .4282892 26.84238 0.02 0.987 -54.24785 55.10442 + 705 | 9.745443 26.9357 0.36 0.720 -45.12078 64.61166 + 709 | 79.72538 31.83951 2.50 0.018 14.87042 144.5803 + 710 | 36.25779 16.97907 2.14 0.040 1.67256 70.84301 + 798 | 12.50601 15.15263 0.83 0.415 -18.35888 43.37091 + 800 | -25.5272 27.65322 -0.92 0.363 -81.85497 30.80058 + 802 | 3.974419 22.50735 0.18 0.861 -41.87156 49.8204 + 803 | 15.6207 28.25374 0.55 0.584 -41.93027 73.17168 + 805 | 18.68603 22.83041 0.82 0.419 -27.81799 65.19005 + 806 | 4.550684 22.60266 0.20 0.842 -41.48944 50.5908 + 807 | 4.765809 25.47791 0.19 0.853 -47.13099 56.6626 + 898 | -18.07906 19.11596 -0.95 0.351 -57.01699 20.85887 + 1001 | 20.66442 17.63332 1.17 0.250 -15.25349 56.58232 + 1002 | 28.5702 21.84541 1.31 0.200 -15.92745 73.06785 + 1003 | -.993453 25.59378 -0.04 0.969 -53.12627 51.13937 + 1006 | -3.434119 20.99465 -0.16 0.871 -46.19883 39.33059 + 1007 | -17.5738 26.4694 -0.66 0.511 -71.4902 36.3426 + 1010 | 29.68167 10.36734 2.86 0.007 8.56409 50.79925 + 1202 | 5.529121 16.70883 0.33 0.743 -28.50565 39.56389 + 1203 | 15.81175 18.81401 0.84 0.407 -22.51114 54.13464 + 1204 | .8989403 17.36415 0.05 0.959 -34.47068 36.26856 + 1205 | -19.44376 17.84598 -1.09 0.284 -55.79483 16.90731 + 1207 | -4.329984 16.73188 -0.26 0.797 -38.41171 29.75174 + 1208 | 1.338062 18.88121 0.07 0.944 -37.1217 39.79782 + 1209 | -2.013098 15.78027 -0.13 0.899 -34.15646 30.13026 + 1210 | -1.189582 17.23462 -0.07 0.945 -36.29534 33.91618 + 1211 | 7.947676 18.07772 0.44 0.663 -28.87544 44.77079 + 1301 | 61.7638 57.84163 1.07 0.294 -56.05573 179.5833 + 1302 | .6540876 19.26558 0.03 0.973 -38.58862 39.89679 + 1303 | 11.8604 23.67596 0.50 0.620 -36.36596 60.08676 + 1304 | 120.2674 35.79352 3.36 0.002 47.35837 193.1764 + 1401 | -2.658802 23.31396 -0.11 0.910 -50.14778 44.83017 + 1405 | 27.68752 19.95755 1.39 0.175 -12.96468 68.33971 + 1406 | 103.899 77.105 1.35 0.187 -53.15873 260.9568 + 1407 | 23.06184 25.99226 0.89 0.382 -29.88266 76.00633 + 1410 | 8.689751 6.092257 1.43 0.163 -3.719769 21.09927 + 1500 | -43.60281 47.84526 -0.91 0.369 -141.0604 53.85479 + 1501 | 78.77132 24.08596 3.27 0.003 29.70981 127.8328 + 1502 | 10.19403 18.02222 0.57 0.576 -26.51603 46.9041 + 1504 | 14.23565 13.71097 1.04 0.307 -13.69267 42.16398 + 1505 | 15.58371 13.8185 1.13 0.268 -12.56366 43.73108 + 1521 | 14.46989 25.15683 0.58 0.569 -36.77289 65.71266 + 1523 | 54.45439 29.91718 1.82 0.078 -6.484911 115.3937 + 1525 | 36.04575 27.13124 1.33 0.193 -19.21878 91.31029 + 1526 | -10.04651 27.84226 -0.36 0.721 -66.75933 46.66631 + 1599 | 25.79832 22.76424 1.13 0.266 -20.57091 72.16755 + 1602 | 5.842467 17.84851 0.33 0.746 -30.51376 42.19869 + 1605 | -1.998914 22.81352 -0.09 0.931 -48.46853 44.4707 + 1606 | 11.85621 18.61174 0.64 0.529 -26.05467 49.76708 + 1608 | 31.49152 34.57924 0.91 0.369 -38.94408 101.9271 + 1609 | 47.2351 26.20452 1.80 0.081 -6.141764 100.612 + 1611 | -80.39156 36.48043 -2.20 0.035 -154.6998 -6.083355 + 1614 | -118.4839 46.02834 -2.57 0.015 -212.2406 -24.72727 + 1615 | 37.10057 26.22755 1.41 0.167 -16.32319 90.52434 + 1619 | -86.56446 36.40491 -2.38 0.024 -160.7188 -12.41009 + 1701 | 29.88278 19.30025 1.55 0.131 -9.430538 69.19611 + 1704 | 18.41619 16.24534 1.13 0.265 -14.67448 51.50686 + 1706 | -7.921763 26.80844 -0.30 0.770 -62.52877 46.68524 + 1707 | 30.11857 25.6421 1.17 0.249 -22.11267 82.34982 + 1708 | 20.30761 20.08518 1.01 0.320 -20.60456 61.21977 + 1709 | -22.7524 31.70511 -0.72 0.478 -87.33359 41.8288 + 1798 | 18.41619 16.24534 1.13 0.265 -14.67448 51.50686 + 1800 | 5.860787 23.31894 0.25 0.803 -41.63834 53.35992 + 1802 | 12.16586 23.3217 0.52 0.606 -35.33889 59.67062 + 1803 | 11.35621 18.61174 0.61 0.546 -26.55467 49.26708 + 1804 | -7.522325 22.93675 -0.33 0.745 -54.24295 39.1983 + 1807 | 1.096042 20.39156 0.05 0.957 -40.4402 42.63229 + 1808 | 18.65409 19.26558 0.97 0.340 -20.58862 57.89679 + 1900 | 42.40484 32.93642 1.29 0.207 -24.68445 109.4941 + 1901 | 7.900029 19.32109 0.41 0.685 -31.45574 47.2558 + 1906 | 166.4777 22.93675 7.26 0.000 119.7571 213.1983 + 1920 | 2.693851 20.30951 0.13 0.895 -38.67528 44.06298 + 1925 | 13.73065 20.47266 0.67 0.507 -27.9708 55.4321 + 1926 | -23.71874 50.73901 -0.47 0.643 -127.0707 79.63324 + 1929 | -.8928495 17.08509 -0.05 0.959 -35.69405 33.90835 + 2000 | 49.21987 19.98272 2.46 0.019 8.516398 89.92334 + 2002 | 15.21233 49.85548 0.31 0.762 -86.33996 116.7646 + 2006 | 103.5247 54.19096 1.91 0.065 -6.858658 213.9081 + 2007 | 33.5266 24.41282 1.37 0.179 -16.20069 83.25389 + 2008 | 19.18031 23.4053 0.82 0.419 -28.49473 66.85535 + 2011 | 22.54162 18.3214 1.23 0.228 -14.77785 59.8611 + 2012 | -20.40995 28.41494 -0.72 0.478 -78.28928 37.46938 + 2099 | 14.11307 33.67485 0.42 0.678 -54.48036 82.70649 + 2101 | 19.49762 19.38354 1.01 0.322 -19.98536 58.98059 + 2102 | 2.237052 21.7669 0.10 0.919 -42.10067 46.57478 + 2103 | 14.64636 20.36063 0.72 0.477 -26.82689 56.11961 + 2104 | 12.89537 19.29419 0.67 0.509 -26.40562 52.19635 + | + house_administration | 33.16634 33.89664 0.98 0.335 -35.87886 102.2115 + house_agriculture | 35.21108 29.38726 1.20 0.240 -24.64881 95.07097 + house_appropriations | -13.41359 13.41575 -1.00 0.325 -40.74057 13.91339 + house_armedservices | 124.162 64.1473 1.94 0.062 -6.501762 254.8258 + house_budget | -11.46659 7.663587 -1.50 0.144 -27.07681 4.143625 + house_dc | 0 (omitted) + house_educlabor | -5.205938 7.180435 -0.73 0.474 -19.83201 9.42013 + house_energycommerce | 11.4958 15.35543 0.75 0.460 -19.78219 42.77378 + house_foreignaffairs | -11.00619 14.11277 -0.78 0.441 -39.75296 17.74058 + house_governmentop | -51.5362 25.86545 -1.99 0.055 -104.2224 1.150004 + house_intelligence | 0 (omitted) + house_interior | 3.2539 11.45692 0.28 0.778 -20.08309 26.59089 + house_judiciary | 8.412356 4.952662 1.70 0.099 -1.675886 18.5006 + house_mmf | -27.29967 19.04658 -1.43 0.161 -66.09629 11.49695 + house_pocs | 37.28206 32.18414 1.16 0.255 -28.27488 102.839 + house_pwt | 8.873989 8.875978 1.00 0.325 -9.205786 26.95376 + house_rules | 3.257551 7.301573 0.45 0.658 -11.61527 18.13037 + house_sst | 31.55761 18.48387 1.71 0.097 -6.092806 69.20803 + house_smallbusi | -15.60933 23.45209 -0.67 0.510 -63.37968 32.16103 + house_soc | 0 (omitted) + house_veterans | .4996699 20.73601 0.02 0.981 -41.7382 42.73754 + house_waysandmeans | .2431605 7.751897 0.03 0.975 -15.54694 16.03326 + house_naturalresources | -9.190153 7.914426 -1.16 0.254 -25.31131 6.931005 + house_bfs | 3.082372 15.36501 0.20 0.842 -28.21512 34.37987 + house_eeo | -19.10911 15.89133 -1.20 0.238 -51.4787 13.26048 + house_govreform | 10.07412 17.41228 0.58 0.567 -25.39353 45.54177 + house_ir | -10.27868 13.76948 -0.75 0.461 -38.32618 17.76883 + house_natsecur | 83.50593 30.44807 2.74 0.010 21.48525 145.5266 + house_oversight | -25.8286 15.05286 -1.72 0.096 -56.49026 4.833069 + house_resources | -12.10428 9.189187 -1.32 0.197 -30.82204 6.613479 + house_science | -5.755459 11.629 -0.49 0.624 -29.44296 17.93205 + house_transp | -15.72471 8.158074 -1.93 0.063 -32.34217 .8927389 + house_homeland | -15.40244 10.40304 -1.48 0.149 -36.59274 5.78786 + _cons | -25.20478 20.9234 -1.20 0.237 -67.82435 17.4148 +----------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 33 1 0 1 1 + + +j = 3 k = 3 + + +rdbwselect_2014 numb_cosponsors MV1_female_l1 if sponsor_party_l1==200 & tag_bill==1 & sponsor_female==0, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 3274 +----------------------+---------------------- NN matches = 3 + Number of obs | 3103 171 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of MV1_female_l1 | 78.154 29.857 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 8.129319 15.7685 .5155415 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female_l1)) +(61,560 missing values generated) +(62,296 missing values generated) +(526 real changes made) +reg numb_cosponsors sponsor_female_l1 i.v2 MV1_female_l1 female_l1XMV1_female_l1 i.minor house_* [aw=wt] if sponsor_party_l1==200 & tag_bill==1 & sponsor_female==0 +> & sample==1 & abs(MV1_female_l1)<=8.12931863154223, robust cluster(group_sponsor) +(sum of wgt is 168) +note: house_appropriations omitted because of collinearity +note: house_dc omitted because of collinearity +note: house_foreignaffairs omitted because of collinearity +note: house_governmentop omitted because of collinearity +note: house_intelligence omitted because of collinearity +note: house_interior omitted because of collinearity +note: house_sst omitted because of collinearity +note: house_smallbusi omitted because of collinearity +note: house_soc omitted because of collinearity +note: house_veterans omitted because of collinearity +note: house_eeo omitted because of collinearity +note: house_natsecur omitted because of collinearity +note: house_homeland omitted because of collinearity + +Linear regression Number of obs = 168 + F(9, 10) = . + Prob > F = . + R-squared = 0.5144 + Root MSE = 28.558 + + (Std. Err. adjusted for 11 clusters in group_sponsor) +----------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------+---------------------------------------------------------------- + sponsor_female_l1 | -10.98026 21.42355 -0.51 0.619 -58.71491 36.75438 + | + v2 | + 104 | 28.02921 22.03812 1.27 0.232 -21.07478 77.13321 + 105 | -8.238673 36.81584 -0.22 0.827 -90.26948 73.79213 + 106 | -9.389358 11.45787 -0.82 0.432 -34.91909 16.14037 + | + MV1_female_l1 | 7.893017 2.756622 2.86 0.017 1.75088 14.03515 +female_l1XMV1_female_l1 | -12.27051 7.966766 -1.54 0.155 -30.02157 5.480548 + | + minor | + 107 | -3.86954 12.92424 -0.30 0.771 -32.66653 24.92745 + 200 | -8.751938 26.25437 -0.33 0.746 -67.25032 49.74644 + 302 | -22.13149 41.83561 -0.53 0.608 -115.347 71.08405 + 321 | -53.61266 27.21886 -1.97 0.077 -114.2601 7.034749 + 325 | -33.71062 15.22906 -2.21 0.051 -67.64309 .2218385 + 331 | -10.71062 15.22906 -0.70 0.498 -44.64309 23.22184 + 336 | 5.320283 17.62489 0.30 0.769 -33.95042 44.59099 + 341 | -24.88045 15.06884 -1.65 0.130 -58.45592 8.695016 + 402 | -32.19881 11.97401 -2.69 0.023 -58.87858 -5.519046 + 403 | -32.19881 11.97401 -2.69 0.023 -58.87858 -5.519046 + 498 | 40.02423 35.36475 1.13 0.284 -38.77335 118.8218 + 499 | -24.19881 11.97401 -2.02 0.071 -50.87858 2.480954 + 501 | -21.79902 22.38716 -0.97 0.353 -71.68071 28.08267 + 503 | -19.8019 21.71552 -0.91 0.383 -68.1871 28.5833 + 505 | 7.101818 24.9045 0.29 0.781 -48.38886 62.59249 + 506 | -7.898182 24.9045 -0.32 0.758 -63.38886 47.59249 + 530 | -13.77516 19.47465 -0.71 0.496 -57.16738 29.61705 + 601 | -21.12211 17.34928 -1.22 0.251 -59.77872 17.5345 + 602 | -42.30726 16.42854 -2.58 0.028 -78.91233 -5.702198 + 700 | -49.73626 24.65001 -2.02 0.071 -104.6599 5.187386 + 705 | 37.28063 43.93896 0.85 0.416 -60.62147 135.1827 + 709 | 39.78334 65.18191 0.61 0.555 -105.451 185.0177 + 710 | -6.125851 31.73313 -0.19 0.851 -76.83168 64.57998 + 798 | -12.24003 28.25375 -0.43 0.674 -75.19331 50.71326 + 802 | -15.52528 33.85678 -0.46 0.656 -90.9629 59.91233 + 803 | 64.2242 67.7249 0.95 0.365 -86.67627 215.1247 + 1003 | -25.12211 17.34928 -1.45 0.178 -63.77872 13.5345 + 1007 | -47.83586 13.02156 -3.67 0.004 -76.8497 -18.82202 + 1201 | -33.844 18.7694 -1.80 0.102 -75.66483 7.976833 + 1203 | -11.60301 16.47424 -0.70 0.497 -48.30991 25.10388 + 1204 | -18.22229 16.82456 -1.08 0.304 -55.70975 19.26516 + 1205 | -13.12211 17.34928 -0.76 0.467 -51.77872 25.5345 + 1206 | -15.12211 17.34928 -0.87 0.404 -53.77872 23.5345 + 1207 | -21.12211 17.34928 -1.22 0.251 -59.77872 17.5345 + 1209 | -11.78878 17.34928 -0.68 0.512 -50.44538 26.86783 + 1210 | 9.804931 40.44093 0.24 0.813 -80.30308 99.91294 + 1303 | -16.86816 12.98938 -1.30 0.223 -45.81029 12.07397 + 1400 | -30.30819 27.41552 -1.11 0.295 -91.39378 30.7774 + 1401 | -2.829525 22.76607 -0.12 0.904 -53.55549 47.89644 + 1403 | -5.917838 49.41066 -0.12 0.907 -116.0116 104.176 + 1407 | 10.80119 11.97401 0.90 0.388 -15.87858 37.48095 + 1409 | -6.917838 49.41066 -0.14 0.891 -117.0116 103.176 + 1410 | -6.917838 49.41066 -0.14 0.891 -117.0116 103.176 + 1500 | 6.601258 45.92551 0.14 0.889 -95.72716 108.9297 + 1501 | -2.351603 28.01332 -0.08 0.935 -64.76917 60.06596 + 1502 | -2.34912 43.08884 -0.05 0.958 -98.35703 93.65879 + 1505 | -23.22972 12.68686 -1.83 0.097 -51.4978 5.038356 + 1520 | -6.22972 12.68686 -0.49 0.634 -34.4978 22.03836 + 1523 | 101.034 32.89682 3.07 0.012 27.73531 174.3327 + 1525 | -24.12211 17.34928 -1.39 0.195 -62.77872 14.5345 + 1599 | -3.791994 23.20079 -0.16 0.873 -55.48657 47.90258 + 1600 | -52.9864 41.34224 -1.28 0.229 -145.1026 39.12985 + 1605 | 55.81937 26.00876 2.15 0.057 -2.131762 113.7705 + 1608 | -26.55073 14.45602 -1.84 0.096 -58.76076 5.659301 + 1609 | -9.779903 18.42464 -0.53 0.607 -50.83256 31.27276 + 1611 | -7.898182 24.9045 -0.32 0.758 -63.38886 47.59249 + 1614 | -23.95146 16.55436 -1.45 0.179 -60.83687 12.93395 + 1616 | -27.6486 18.43145 -1.50 0.164 -68.71643 13.41924 + 1698 | -5.238464 46.98911 -0.11 0.913 -109.9367 99.4598 + 1706 | 10.80119 11.97401 0.90 0.388 -15.87858 37.48095 + 1798 | -10.78878 17.34928 -0.62 0.548 -49.44538 27.86783 + 1800 | 5.338463 28.93817 0.18 0.857 -59.1398 69.81672 + 1802 | -33.79808 10.89176 -3.10 0.011 -58.06644 -9.529728 + 1804 | -43.22972 12.68686 -3.41 0.007 -71.4978 -14.96164 + 1807 | -25.49106 27.03382 -0.94 0.368 -85.72616 34.74404 + 1900 | -24.12211 17.34928 -1.39 0.195 -62.77872 14.5345 + 1914 | -8.409585 19.52915 -0.43 0.676 -51.92323 35.10406 + 1927 | -6.62211 17.34928 -0.38 0.711 -45.27872 32.0345 + 2002 | -39.00243 45.44913 -0.86 0.411 -140.2694 62.26455 + 2003 | -6.667594 21.62274 -0.31 0.764 -54.84605 41.51087 + 2004 | 99.29905 29.30363 3.39 0.007 34.00649 164.5916 + 2006 | -9.12211 17.34928 -0.53 0.610 -47.77872 29.5345 + 2011 | 29.62461 33.59111 0.88 0.399 -45.22105 104.4703 + 2012 | 46.20568 32.91095 1.40 0.191 -27.12448 119.5358 + 2013 | 57.48502 36.43303 1.58 0.146 -23.69284 138.6629 + 2101 | 78.28853 88.48705 0.88 0.397 -118.8729 275.45 + 2102 | 33.89805 68.8994 0.49 0.633 -119.6194 187.4155 + 2103 | 28.58633 61.27264 0.47 0.651 -107.9376 165.1103 + | + house_administration | -59.41898 27.87383 -2.13 0.059 -121.5257 2.687787 + house_agriculture | 5.059393 11.48325 0.44 0.669 -20.52688 30.64567 + house_appropriations | 0 (omitted) + house_armedservices | 16.77082 12.85417 1.30 0.221 -11.87005 45.4117 + house_budget | -23.36156 4.297014 -5.44 0.000 -32.93591 -13.78722 + house_dc | 0 (omitted) + house_educlabor | 43.83275 25.56496 1.71 0.117 -13.12952 100.795 + house_energycommerce | -9.519096 7.183033 -1.33 0.215 -25.52389 6.4857 + house_foreignaffairs | 0 (omitted) + house_governmentop | 0 (omitted) + house_intelligence | 0 (omitted) + house_interior | 0 (omitted) + house_judiciary | 15.34221 15.23531 1.01 0.338 -18.60417 49.28858 + house_mmf | 1.507118 8.552507 0.18 0.864 -17.54906 20.56329 + house_pocs | -14.5961 7.639227 -1.91 0.085 -31.61736 2.425161 + house_pwt | -12.40139 7.059045 -1.76 0.109 -28.12992 3.327141 + house_rules | -15.86816 12.98938 -1.22 0.250 -44.81029 13.07397 + house_sst | 0 (omitted) + house_smallbusi | 0 (omitted) + house_soc | 0 (omitted) + house_veterans | 0 (omitted) + house_waysandmeans | 25.01818 20.37388 1.23 0.248 -20.37765 70.41401 + house_naturalresources | -34.75253 60.98045 -0.57 0.581 -170.6254 101.1204 + house_bfs | -3.950378 12.42368 -0.32 0.757 -31.63206 23.7313 + house_eeo | 0 (omitted) + house_govreform | -10.67443 21.04999 -0.51 0.623 -57.57673 36.22786 + house_ir | -1.483573 14.20841 -0.10 0.919 -33.14189 30.17474 + house_natsecur | 0 (omitted) + house_oversight | -33.52279 27.19134 -1.23 0.246 -94.10887 27.06328 + house_resources | -48.12238 54.4272 -0.88 0.397 -169.3937 73.14898 + house_science | 37.93591 36.66334 1.03 0.325 -43.75509 119.6269 + house_transp | 42.54381 26.84139 1.59 0.144 -17.26253 102.3502 + house_homeland | 0 (omitted) + _cons | 31.84046 23.48928 1.36 0.205 -20.49693 84.17784 +----------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 11 1 0 1 1 + + +j = 4 k = 1 + + +rdbwselect_2014 numb_cosponsors MV1_female_l1 if tag_bill==1 & sponsor_female==0, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5144 +----------------------+---------------------- NN matches = 3 + Number of obs | 4450 694 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of MV1_female_l1 | 99.716 73.923 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 9.734343 19.66265 .4950678 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female_l1)) +(23,391 missing values generated) +(56,788 missing values generated) +(33,397 real changes made) +reg numb_cosponsors sponsor_female_l1 i.v2 i.minor house_* [aw=wt] if tag_bill==1 & sponsor_female==0, robust cluster(group_sponsor) +(sum of wgt is 61,219.2011077404) + +Linear regression Number of obs = 33,647 + F(264, 2753) = 17.38 + Prob > F = 0.0000 + R-squared = 0.1839 + Root MSE = 33.052 + + (Std. Err. adjusted for 2,754 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female_l1 | -1.128332 1.609823 -0.70 0.483 -4.284915 2.028251 + | + v2 | + 103 | -.0656967 1.94246 -0.03 0.973 -3.874522 3.743129 + 104 | -1.415489 1.811356 -0.78 0.435 -4.967244 2.136266 + 105 | 4.446083 2.33554 1.90 0.057 -.1335057 9.025671 + 106 | 1.270973 2.855507 0.45 0.656 -4.328179 6.870126 + 108 | 4.419762 3.533669 1.25 0.211 -2.509147 11.34867 + 109 | .5583464 2.023158 0.28 0.783 -3.408715 4.525408 + 110 | -3.660124 2.11365 -1.73 0.083 -7.804624 .4843751 + | + minor | + 101 | -3.315139 3.826246 -0.87 0.386 -10.81774 4.187463 + 103 | 10.14546 9.67851 1.05 0.295 -8.832416 29.12333 + 104 | 3.710494 2.73394 1.36 0.175 -1.650287 9.071275 + 105 | 13.75105 4.150309 3.31 0.001 5.613016 21.88908 + 107 | 14.0474 3.148347 4.46 0.000 7.874038 20.22076 + 108 | -.2628241 5.34836 -0.05 0.961 -10.75003 10.22438 + 200 | 29.73437 13.73868 2.16 0.031 2.795205 56.67353 + 201 | 11.26698 5.459772 2.06 0.039 .5613162 21.97264 + 202 | 39.267 15.04589 2.61 0.009 9.764623 68.76939 + 204 | 56.93107 12.67317 4.49 0.000 32.08119 81.78096 + 205 | 73.75605 26.65796 2.77 0.006 21.48442 126.0277 + 206 | 20.63079 7.717434 2.67 0.008 5.498245 35.76334 + 207 | 35.81123 15.13857 2.37 0.018 6.127132 65.49533 + 208 | 9.239794 3.272954 2.82 0.005 2.8221 15.65749 + 209 | 26.92264 18.37181 1.47 0.143 -9.101293 62.94657 + 299 | 164.1668 31.06526 5.28 0.000 103.2532 225.0803 + 300 | 5.649392 5.412542 1.04 0.297 -4.963662 16.26244 + 301 | 6.319699 4.307335 1.47 0.142 -2.126237 14.76563 + 302 | 16.77022 3.903371 4.30 0.000 9.116389 24.42405 + 321 | 11.75117 4.260104 2.76 0.006 3.397844 20.10449 + 322 | 9.611167 3.110216 3.09 0.002 3.512574 15.70976 + 323 | 17.82517 8.594326 2.07 0.038 .9731909 34.67715 + 324 | 12.181 6.816017 1.79 0.074 -1.184029 25.54602 + 325 | 13.1347 3.475809 3.78 0.000 6.319246 19.95016 + 331 | 8.559798 9.406255 0.91 0.363 -9.884232 27.00383 + 332 | 19.78685 5.297139 3.74 0.000 9.400084 30.17362 + 333 | 17.4097 9.286044 1.87 0.061 -.7986156 35.61802 + 334 | 23.03007 5.988369 3.85 0.000 11.28792 34.77221 + 335 | 8.778741 4.235062 2.07 0.038 .4745209 17.08296 + 336 | 32.30959 9.921958 3.26 0.001 12.85435 51.76482 + 341 | 17.18943 4.003555 4.29 0.000 9.339157 25.03971 + 342 | 13.54775 6.982971 1.94 0.052 -.1446421 27.24014 + 343 | 3.742195 5.38065 0.70 0.487 -6.808324 14.29271 + 344 | 16.27243 6.175472 2.64 0.008 4.163407 28.38146 + 398 | 35.24711 13.21123 2.67 0.008 9.342192 61.15203 + 399 | -1.446411 7.652377 -0.19 0.850 -16.45139 13.55857 + 400 | 14.33541 5.587908 2.57 0.010 3.378491 25.29232 + 401 | 8.413864 6.251343 1.35 0.178 -3.843933 20.67166 + 402 | 16.54938 5.048842 3.28 0.001 6.649476 26.44928 + 403 | 53.72664 30.83951 1.74 0.082 -6.744267 114.1975 + 404 | 7.543628 6.372608 1.18 0.237 -4.951947 20.0392 + 405 | 42.73916 11.13282 3.84 0.000 20.90962 64.56869 + 498 | 30.91168 10.70468 2.89 0.004 9.921673 51.90169 + 499 | 26.34797 10.57229 2.49 0.013 5.617552 47.07838 + 500 | 56.07594 11.2694 4.98 0.000 33.97861 78.17327 + 501 | 27.14224 9.146029 2.97 0.003 9.208464 45.07601 + 502 | 24.80923 10.25517 2.42 0.016 4.700627 44.91782 + 503 | 14.22582 4.008704 3.55 0.000 6.365451 22.08619 + 504 | 56.39543 9.766815 5.77 0.000 37.2444 75.54645 + 505 | 24.25594 6.960727 3.48 0.001 10.60717 37.90472 + 506 | 53.18384 13.273 4.01 0.000 27.1578 79.20989 + 508 | 4.970355 5.75139 0.86 0.388 -6.307121 16.24783 + 529 | 24.41241 7.317878 3.34 0.001 10.06333 38.7615 + 530 | 17.53295 3.914319 4.48 0.000 9.857652 25.20825 + 599 | 33.1647 4.731691 7.01 0.000 23.88668 42.44272 + 600 | 12.51759 4.327295 2.89 0.004 4.032516 21.00266 + 601 | 15.22343 5.263708 2.89 0.004 4.90221 25.54464 + 602 | 20.78244 5.326743 3.90 0.000 10.33763 31.22726 + 603 | 18.69245 5.68761 3.29 0.001 7.540036 29.84486 + 604 | 11.70855 4.214343 2.78 0.006 3.444954 19.97214 + 606 | 27.12884 7.941762 3.42 0.001 11.55643 42.70126 + 607 | 20.75602 6.35489 3.27 0.001 8.295188 33.21686 + 609 | 10.86753 4.629211 2.35 0.019 1.79045 19.94461 + 698 | 6.313147 4.86145 1.30 0.194 -3.219311 15.84561 + 699 | 12.50558 6.760837 1.85 0.064 -.7512482 25.7624 + 700 | 11.55737 3.394703 3.40 0.001 4.900952 18.2138 + 701 | 11.30474 3.737019 3.03 0.003 3.977094 18.63238 + 703 | 8.350274 4.474803 1.87 0.062 -.4240367 17.12458 + 704 | 9.409756 3.748442 2.51 0.012 2.059714 16.7598 + 705 | 17.89771 4.205586 4.26 0.000 9.65129 26.14414 + 707 | 11.09405 6.891443 1.61 0.108 -2.418871 24.60697 + 708 | 15.18203 5.426197 2.80 0.005 4.542201 25.82186 + 709 | 35.87389 10.73925 3.34 0.001 14.8161 56.93169 + 710 | 21.43018 4.921762 4.35 0.000 11.77946 31.0809 + 711 | 14.38856 4.66968 3.08 0.002 5.232127 23.54499 + 798 | 19.48376 5.63517 3.46 0.001 8.434172 30.53335 + 799 | 14.10458 5.209234 2.71 0.007 3.890179 24.31898 + 800 | 7.581972 3.620303 2.09 0.036 .4831871 14.68076 + 801 | 11.25124 6.934282 1.62 0.105 -2.345681 24.84816 + 802 | 8.332527 3.555139 2.34 0.019 1.361517 15.30354 + 803 | 3.785922 3.321568 1.14 0.254 -2.727095 10.29894 + 805 | 11.94855 4.341523 2.75 0.006 3.435582 20.46152 + 806 | 10.76714 4.283217 2.51 0.012 2.368499 19.16579 + 807 | 7.971329 3.453643 2.31 0.021 1.199337 14.74332 + 898 | 10.87968 5.658569 1.92 0.055 -.2157868 21.97515 + 899 | 8.144428 5.134982 1.59 0.113 -1.924377 18.21323 + 1000 | 7.877628 3.211085 2.45 0.014 1.58125 14.17401 + 1001 | 3.811699 3.325221 1.15 0.252 -2.708482 10.33188 + 1002 | 9.780414 3.142479 3.11 0.002 3.618558 15.94227 + 1003 | 14.9723 3.5986 4.16 0.000 7.91607 22.02853 + 1005 | 15.51192 4.64327 3.34 0.001 6.407273 24.61656 + 1006 | 14.32037 4.084935 3.51 0.000 6.310524 22.33022 + 1007 | 8.739309 4.189951 2.09 0.037 .5235441 16.95507 + 1010 | 8.120426 3.418608 2.38 0.018 1.41713 14.82372 + 1098 | 2.943157 4.232704 0.70 0.487 -5.35644 11.24275 + 1099 | 8.357816 5.933707 1.41 0.159 -3.27715 19.99278 + 1200 | 21.69544 5.076823 4.27 0.000 11.74067 31.6502 + 1201 | 14.89677 4.021361 3.70 0.000 7.011582 22.78196 + 1202 | 16.6841 5.139063 3.25 0.001 6.607288 26.76091 + 1203 | 14.00011 4.312416 3.25 0.001 5.544213 22.45601 + 1204 | 12.18304 4.191524 2.91 0.004 3.964191 20.40189 + 1205 | 15.33685 4.348127 3.53 0.000 6.810926 23.86277 + 1206 | 15.02476 5.128827 2.93 0.003 4.968022 25.0815 + 1207 | 15.99203 4.169257 3.84 0.000 7.816842 24.16722 + 1208 | 17.58029 4.134745 4.25 0.000 9.472774 25.68781 + 1209 | 16.68342 4.188895 3.98 0.000 8.469727 24.89712 + 1210 | 16.66909 4.484542 3.72 0.000 7.875679 25.46249 + 1211 | 13.47524 3.710606 3.63 0.000 6.199385 20.75109 + 1299 | 25.28129 4.617786 5.47 0.000 16.22661 34.33597 + 1300 | 12.06835 6.468233 1.87 0.062 -.6147258 24.75143 + 1301 | 23.83139 7.920356 3.01 0.003 8.300946 39.36183 + 1302 | 3.252915 2.775898 1.17 0.241 -2.190137 8.695968 + 1303 | 12.10313 3.400082 3.56 0.000 5.436159 18.7701 + 1304 | 28.54934 9.048441 3.16 0.002 10.80692 46.29176 + 1305 | 29.99999 8.523112 3.52 0.000 13.28765 46.71233 + 1399 | 3.232474 3.86514 0.84 0.403 -4.346393 10.81134 + 1400 | 9.660946 5.013359 1.93 0.054 -.1693794 19.49127 + 1401 | 15.41177 8.448233 1.82 0.068 -1.153741 31.97729 + 1403 | 6.296038 6.0505 1.04 0.298 -5.56794 18.16002 + 1404 | 2.080785 3.556183 0.59 0.559 -4.89227 9.05384 + 1405 | 10.4075 3.857479 2.70 0.007 2.843651 17.97134 + 1406 | 22.14805 6.41808 3.45 0.001 9.563313 34.73279 + 1407 | 11.01783 3.470573 3.17 0.002 4.212635 17.82302 + 1408 | 3.649444 4.0721 0.90 0.370 -4.335237 11.63412 + 1409 | 19.19657 3.676193 5.22 0.000 11.9882 26.40495 + 1410 | 6.744397 5.150148 1.31 0.190 -3.354148 16.84294 + 1499 | 3.230557 3.828904 0.84 0.399 -4.277258 10.73837 + 1500 | 11.63751 5.383698 2.16 0.031 1.081019 22.19401 + 1501 | 8.959856 4.714541 1.90 0.057 -.2845379 18.20425 + 1502 | 11.28341 3.204623 3.52 0.000 4.999701 17.56712 + 1504 | 14.94691 9.220075 1.62 0.105 -3.132053 33.02587 + 1505 | 8.445292 3.934512 2.15 0.032 .7303977 16.16019 + 1507 | 7.723782 3.120924 2.47 0.013 1.604193 13.84337 + 1520 | 10.21626 3.601555 2.84 0.005 3.154237 17.27828 + 1521 | 16.21574 5.267469 3.08 0.002 5.887151 26.54433 + 1522 | 18.62864 6.318296 2.95 0.003 6.23956 31.01772 + 1523 | 33.09915 19.41441 1.70 0.088 -4.969137 71.16743 + 1524 | 45.19483 22.35198 2.02 0.043 1.366473 89.02318 + 1525 | 14.8901 3.524007 4.23 0.000 7.980136 21.80006 + 1526 | 7.752605 3.735304 2.08 0.038 .4283238 15.07689 + 1599 | 20.22178 4.798881 4.21 0.000 10.81201 29.63155 + 1600 | 8.342149 4.302062 1.94 0.053 -.0934464 16.77774 + 1602 | 25.87583 10.07502 2.57 0.010 6.120476 45.63119 + 1603 | 14.38402 5.624501 2.56 0.011 3.35535 25.41269 + 1604 | 9.048627 7.346371 1.23 0.218 -5.356329 23.45358 + 1605 | 18.07621 6.104806 2.96 0.003 6.105742 30.04667 + 1606 | 3.224512 5.698174 0.57 0.572 -7.948617 14.39764 + 1608 | 13.69833 6.054651 2.26 0.024 1.826213 25.57045 + 1609 | 25.04667 4.715481 5.31 0.000 15.80044 34.29291 + 1610 | 14.75539 8.23444 1.79 0.073 -1.390913 30.9017 + 1611 | 5.568933 4.695424 1.19 0.236 -3.637977 14.77584 + 1612 | 16.55982 4.499727 3.68 0.000 7.736642 25.38301 + 1614 | -.0317592 5.288169 -0.01 0.995 -10.40094 10.33742 + 1615 | 15.77084 5.625285 2.80 0.005 4.740638 26.80105 + 1616 | 9.328743 3.873382 2.41 0.016 1.733715 16.92377 + 1617 | 11.22099 4.809063 2.33 0.020 1.791256 20.65073 + 1619 | 12.05302 4.841167 2.49 0.013 2.560336 21.54571 + 1620 | 6.79696 4.47696 1.52 0.129 -1.981581 15.5755 + 1698 | 5.824417 5.166558 1.13 0.260 -4.306304 15.95514 + 1699 | 9.568564 4.575968 2.09 0.037 .5958876 18.54124 + 1700 | 15.30972 6.134578 2.50 0.013 3.280877 27.33856 + 1701 | 11.08712 5.494389 2.02 0.044 .3135821 21.86066 + 1704 | 15.76787 5.456086 2.89 0.004 5.06943 26.4663 + 1705 | 3.499898 7.914168 0.44 0.658 -12.01841 19.01821 + 1706 | 34.28509 23.13315 1.48 0.138 -11.07499 79.64517 + 1707 | 47.43456 29.48088 1.61 0.108 -10.37232 105.2414 + 1708 | 16.175 5.240413 3.09 0.002 5.899464 26.45054 + 1709 | 16.14412 6.9452 2.32 0.020 2.525792 29.76245 + 1798 | 17.22226 6.293106 2.74 0.006 4.882577 29.56195 + 1799 | 14.85959 8.022546 1.85 0.064 -.8712253 30.59041 + 1800 | 6.430711 3.21659 2.00 0.046 .1235375 12.73788 + 1802 | 9.72749 3.659182 2.66 0.008 2.552471 16.90251 + 1803 | 21.55542 13.18158 1.64 0.102 -4.291373 47.40221 + 1804 | 6.397301 3.34743 1.91 0.056 -.1664267 12.96103 + 1806 | 6.388027 3.516575 1.82 0.069 -.5073652 13.28342 + 1807 | 3.72907 2.939844 1.27 0.205 -2.035454 9.493593 + 1808 | 21.83382 4.288938 5.09 0.000 13.42396 30.24368 + 1899 | 24.88956 14.44014 1.72 0.085 -3.425055 53.20417 + 1900 | 17.7543 4.556293 3.90 0.000 8.820199 26.6884 + 1901 | 9.679831 7.013629 1.38 0.168 -4.072677 23.43234 + 1902 | 19.3712 5.302243 3.65 0.000 8.974424 29.76798 + 1905 | 23.43413 11.71954 2.00 0.046 .4541406 46.41412 + 1906 | 20.75991 14.74852 1.41 0.159 -8.159371 49.67919 + 1907 | 8.356517 4.877677 1.71 0.087 -1.20776 17.92079 + 1908 | 5.750069 9.083304 0.63 0.527 -12.06071 23.56085 + 1909 | .1148956 6.216375 0.02 0.985 -12.07434 12.30413 + 1910 | 18.31061 7.523082 2.43 0.015 3.559159 33.06207 + 1911 | 12.72956 6.132603 2.08 0.038 .704587 24.75452 + 1912 | 30.92311 26.21043 1.18 0.238 -20.47099 82.31721 + 1914 | 17.22971 12.17831 1.41 0.157 -6.649834 41.10925 + 1915 | 6.420787 5.528296 1.16 0.246 -4.41924 17.26081 + 1919 | 7.852362 4.884321 1.61 0.108 -1.724942 17.42967 + 1920 | 109.6707 58.86445 1.86 0.063 -5.752276 225.0936 + 1925 | 23.94322 5.386325 4.45 0.000 13.38157 34.50487 + 1926 | 12.15802 6.095666 1.99 0.046 .2054761 24.11056 + 1927 | 8.041653 4.979338 1.62 0.106 -1.721963 17.80527 + 1929 | 7.025163 6.515522 1.08 0.281 -5.750643 19.80097 + 1999 | 23.76694 15.80045 1.50 0.133 -7.214983 54.74887 + 2000 | 14.36729 4.356336 3.30 0.001 5.825268 22.9093 + 2001 | 18.06014 4.04654 4.46 0.000 10.12558 25.99471 + 2002 | 12.52108 3.884023 3.22 0.001 4.905183 20.13697 + 2003 | 31.45915 6.604985 4.76 0.000 18.50792 44.41038 + 2004 | 9.646259 6.042175 1.60 0.110 -2.201395 21.49391 + 2005 | 5.267642 6.529074 0.81 0.420 -7.534736 18.07002 + 2006 | 95.31175 26.35174 3.62 0.000 43.64057 146.9829 + 2007 | 4.253016 4.249847 1.00 0.317 -4.080194 12.58623 + 2008 | 15.0592 3.276366 4.60 0.000 8.634818 21.48358 + 2009 | 22.62558 8.440381 2.68 0.007 6.075458 39.17569 + 2011 | 9.865569 4.321551 2.28 0.023 1.39176 18.33938 + 2012 | 2.53228 5.591192 0.45 0.651 -8.431075 13.49563 + 2013 | 13.63923 4.365786 3.12 0.002 5.078685 22.19978 + 2014 | 9.769481 3.935722 2.48 0.013 2.052216 17.48675 + 2015 | 7.38939 5.019627 1.47 0.141 -2.453226 17.23201 + 2030 | 33.99735 8.562215 3.97 0.000 17.20834 50.78637 + 2099 | 17.1151 5.520001 3.10 0.002 6.291336 27.93886 + 2100 | 9.698333 4.172975 2.32 0.020 1.515856 17.88081 + 2101 | 16.19029 4.106708 3.94 0.000 8.137755 24.24283 + 2102 | 12.16589 5.336653 2.28 0.023 1.701641 22.63014 + 2103 | 14.8232 4.580702 3.24 0.001 5.841236 23.80516 + 2104 | 8.506871 3.860487 2.20 0.028 .937127 16.07662 + 2105 | 24.53798 8.24948 2.97 0.003 8.362185 40.71378 + 2199 | -.509376 4.30998 -0.12 0.906 -8.960497 7.941745 + 9999 | 20.44809 10.64421 1.92 0.055 -.4233513 41.31953 + | + house_administration | 17.48904 8.033558 2.18 0.030 1.736631 33.24145 + house_agriculture | .4162822 4.414507 0.09 0.925 -8.239797 9.072362 + house_appropriations | .2140324 2.391771 0.09 0.929 -4.475815 4.903879 + house_armedservices | 4.521854 1.923307 2.35 0.019 .750584 8.293124 + house_budget | .514605 3.037137 0.17 0.865 -5.440692 6.469902 + house_dc | -.5852072 3.717619 -0.16 0.875 -7.874812 6.704398 + house_educlabor | 6.449901 2.397452 2.69 0.007 1.748916 11.15089 + house_energycommerce | 8.980887 2.639578 3.40 0.001 3.805133 14.15664 + house_foreignaffairs | 12.97972 5.810787 2.23 0.026 1.585778 24.37366 + house_governmentop | 4.772429 2.568574 1.86 0.063 -.2640983 9.808955 + house_intelligence | -4.083884 6.040215 -0.68 0.499 -15.92769 7.759927 + house_interior | 5.348182 3.172886 1.69 0.092 -.8732964 11.56966 + house_judiciary | 5.421811 2.598177 2.09 0.037 .327239 10.51638 + house_mmf | -3.259696 4.522425 -0.72 0.471 -12.12738 5.607993 + house_pocs | 5.824245 4.697303 1.24 0.215 -3.386348 15.03484 + house_pwt | 4.878683 2.571498 1.90 0.058 -.1635764 9.920943 + house_rules | 4.909547 1.977301 2.48 0.013 1.032403 8.786691 + house_sst | 5.974802 3.792012 1.58 0.115 -1.460673 13.41028 + house_smallbusi | -4.048325 3.467428 -1.17 0.243 -10.84735 2.750699 + house_soc | -12.35808 5.134648 -2.41 0.016 -22.42623 -2.289933 + house_veterans | 3.702591 2.699619 1.37 0.170 -1.590893 8.996075 + house_waysandmeans | 7.163455 2.332131 3.07 0.002 2.590552 11.73636 +house_naturalresources | -.8752937 3.425032 -0.26 0.798 -7.591186 5.840599 + house_bfs | 15.53774 6.965359 2.23 0.026 1.879879 29.1956 + house_eeo | 4.209851 3.052593 1.38 0.168 -1.775753 10.19545 + house_govreform | 4.397468 2.161787 2.03 0.042 .1585796 8.636357 + house_ir | 2.916906 4.63358 0.63 0.529 -6.168739 12.00255 + house_natsecur | 14.21491 3.500009 4.06 0.000 7.352002 21.07782 + house_oversight | 12.48067 6.96287 1.79 0.073 -1.172306 26.13365 + house_resources | -.9479187 3.379575 -0.28 0.779 -7.574678 5.67884 + house_science | -1.965804 2.696593 -0.73 0.466 -7.253354 3.321746 + house_transp | 5.703715 3.491371 1.63 0.102 -1.142257 12.54969 + house_homeland | 3.126027 3.584612 0.87 0.383 -3.902774 10.15483 + _cons | -7.902653 4.397178 -1.80 0.072 -16.52475 .7194487 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,754 1 0 1 1 + + +j = 4 k = 2 + + +rdbwselect_2014 numb_cosponsors MV1_female_l1 if sponsor_party_l1==100 & tag_bill==1 & sponsor_female==0, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 1870 +----------------------+---------------------- NN matches = 3 + Number of obs | 1347 523 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of MV1_female_l1 | 99.685 73.923 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 12.83814 24.42237 .5256713 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female_l1)) +(23,391 missing values generated) +(56,788 missing values generated) +(33,397 real changes made) +reg numb_cosponsors sponsor_female_l1 i.v2 i.minor house_* [aw=wt] if sponsor_party_l1==100 & tag_bill==1 & sponsor_female==0, robust cluster(group_sponsor) +(sum of wgt is 28,075.1320414543) + +Linear regression Number of obs = 16,265 + F(258, 1326) = . + Prob > F = . + R-squared = 0.1386 + Root MSE = 31.562 + + (Std. Err. adjusted for 1,327 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female_l1 | -2.378544 1.892815 -1.26 0.209 -6.091783 1.334694 + | + v2 | + 103 | -2.377107 2.015671 -1.18 0.238 -6.331359 1.577145 + 104 | -4.550537 1.964216 -2.32 0.021 -8.403847 -.6972261 + 105 | .7941765 2.661751 0.30 0.765 -4.427525 6.015878 + 106 | 6.51477 5.40687 1.20 0.228 -4.092182 17.12172 + 108 | -2.920516 2.193239 -1.33 0.183 -7.223112 1.38208 + 109 | -.7505381 2.39813 -0.31 0.754 -5.455081 3.954005 + 110 | -1.721417 1.929669 -0.89 0.373 -5.506953 2.06412 + | + minor | + 101 | .3296569 3.377759 0.10 0.922 -6.296678 6.955991 + 103 | -6.980593 5.356004 -1.30 0.193 -17.48776 3.526572 + 104 | 5.413134 2.89123 1.87 0.061 -.25875 11.08502 + 105 | 9.908832 4.258712 2.33 0.020 1.554284 18.26338 + 107 | 9.509356 3.311943 2.87 0.004 3.012137 16.00658 + 108 | 1.572565 4.611097 0.34 0.733 -7.473276 10.61841 + 200 | 35.28447 21.19081 1.67 0.096 -6.286699 76.85563 + 201 | 6.554895 5.993545 1.09 0.274 -5.20297 18.31276 + 202 | 28.38614 12.4967 2.27 0.023 3.870689 52.9016 + 204 | 63.71896 7.592259 8.39 0.000 48.82481 78.61311 + 205 | 77.66718 46.52987 1.67 0.095 -13.613 168.9474 + 206 | 21.81924 7.09205 3.08 0.002 7.906379 35.7321 + 207 | 50.58958 23.69696 2.13 0.033 4.101961 97.0772 + 208 | 5.790498 5.601446 1.03 0.301 -5.198164 16.77916 + 299 | 49.21189 26.70834 1.84 0.066 -3.183323 101.6071 + 300 | 11.7726 5.736301 2.05 0.040 .5193835 23.02581 + 301 | 12.31015 5.324416 2.31 0.021 1.864948 22.75534 + 302 | 13.75341 4.212859 3.26 0.001 5.488809 22.018 + 321 | 6.83221 4.698257 1.45 0.146 -2.384618 16.04904 + 322 | 7.69025 4.329338 1.78 0.076 -.8028486 16.18335 + 323 | 25.68387 8.797539 2.92 0.004 8.42526 42.94249 + 324 | 3.523103 3.946246 0.89 0.372 -4.218464 11.26467 + 325 | 12.21111 4.400709 2.77 0.006 3.578002 20.84422 + 331 | 16.2636 5.122405 3.17 0.002 6.214702 26.31251 + 332 | 24.94901 5.706957 4.37 0.000 13.75336 36.14466 + 333 | 38.95472 8.084297 4.82 0.000 23.09531 54.81412 + 334 | 23.70751 6.833477 3.47 0.001 10.30191 37.11312 + 335 | 7.926094 5.08422 1.56 0.119 -2.047899 17.90009 + 336 | 37.65785 8.160053 4.61 0.000 21.64983 53.66588 + 341 | 16.349 5.36467 3.05 0.002 5.824835 26.87317 + 342 | 4.424868 5.891569 0.75 0.453 -7.132946 15.98268 + 343 | .7523901 5.694193 0.13 0.895 -10.41822 11.923 + 344 | 5.70818 5.478973 1.04 0.298 -5.04022 16.45658 + 398 | 13.98117 7.259577 1.93 0.054 -.2603429 28.22267 + 399 | 22.88316 10.82911 2.11 0.035 1.639102 44.12721 + 400 | 10.43703 6.222584 1.68 0.094 -1.770152 22.64421 + 401 | 5.037815 5.779884 0.87 0.384 -6.300899 16.37653 + 402 | 10.55756 5.704379 1.85 0.064 -.6330349 21.74815 + 403 | 8.136903 7.013642 1.16 0.246 -5.622141 21.89595 + 404 | .8978606 6.351753 0.14 0.888 -11.56272 13.35844 + 405 | 29.68411 10.9295 2.72 0.007 8.243125 51.1251 + 498 | 28.82406 18.3889 1.57 0.117 -7.250449 64.89856 + 499 | 29.46828 25.50203 1.16 0.248 -20.56044 79.497 + 500 | 4.463716 6.965016 0.64 0.522 -9.199937 18.12737 + 501 | 20.04662 11.30792 1.77 0.076 -2.136744 42.22999 + 502 | 13.12127 5.241695 2.50 0.012 2.838353 23.40419 + 503 | 12.52365 4.971357 2.52 0.012 2.771068 22.27623 + 504 | 39.42097 9.698772 4.06 0.000 20.39436 58.44758 + 505 | 29.07567 11.90479 2.44 0.015 5.721394 52.42994 + 506 | 57.41948 15.84828 3.62 0.000 26.32904 88.50992 + 508 | 10.0826 6.722407 1.50 0.134 -3.105114 23.27031 + 529 | 15.22977 9.184392 1.66 0.098 -2.787758 33.24729 + 530 | 15.2476 3.634985 4.19 0.000 8.11665 22.37855 + 599 | 13.377 7.881101 1.70 0.090 -2.083791 28.83778 + 600 | 6.86514 4.060566 1.69 0.091 -1.100694 14.83097 + 601 | 11.5902 5.374809 2.16 0.031 1.046148 22.13426 + 602 | 19.62898 5.715055 3.43 0.001 8.417447 30.84052 + 603 | 12.94468 5.608581 2.31 0.021 1.942018 23.94734 + 604 | 6.657868 6.015715 1.11 0.269 -5.143488 18.45922 + 606 | 28.39701 11.09997 2.56 0.011 6.621591 50.17242 + 607 | 13.5215 7.866859 1.72 0.086 -1.911342 28.95435 + 609 | -.1396775 3.88268 -0.04 0.971 -7.756542 7.477187 + 698 | 1.574759 5.728631 0.27 0.783 -9.663411 12.81293 + 699 | 7.828086 10.01057 0.78 0.434 -11.81019 27.46636 + 700 | 11.74904 4.295049 2.74 0.006 3.323203 20.17487 + 701 | 11.53909 4.638364 2.49 0.013 2.439753 20.63842 + 703 | 8.095105 4.364356 1.85 0.064 -.4666909 16.6569 + 704 | 10.73829 4.686122 2.29 0.022 1.545263 19.93131 + 705 | 18.37542 5.692239 3.23 0.001 7.208647 29.5422 + 707 | 18.86146 7.420441 2.54 0.011 4.304371 33.41854 + 708 | 11.21164 5.397675 2.08 0.038 .6227249 21.80055 + 709 | 44.91259 18.36396 2.45 0.015 8.887001 80.93818 + 710 | 20.79647 5.77345 3.60 0.000 9.470378 32.12256 + 711 | 22.70865 7.229326 3.14 0.002 8.526484 36.89081 + 798 | 11.36988 5.793461 1.96 0.050 .0045296 22.73523 + 799 | 11.89156 7.55928 1.57 0.116 -2.937889 26.72102 + 800 | 3.399635 4.230627 0.80 0.422 -4.899816 11.69909 + 801 | 3.558228 4.738242 0.75 0.453 -5.737041 12.8535 + 802 | 9.137152 5.327233 1.72 0.087 -1.313573 19.58788 + 803 | 1.21942 3.475955 0.35 0.726 -5.59955 8.038391 + 805 | 10.00527 5.495836 1.82 0.069 -.7762072 20.78676 + 806 | 8.849713 4.507241 1.96 0.050 .007612 17.69181 + 807 | 7.758699 4.025779 1.93 0.054 -.138891 15.65629 + 898 | 11.75619 7.661793 1.53 0.125 -3.274362 26.78675 + 899 | 8.895618 6.739304 1.32 0.187 -4.325242 22.11648 + 1000 | 7.55712 3.517603 2.15 0.032 .6564471 14.45779 + 1001 | 2.594195 3.857155 0.67 0.501 -4.972596 10.16099 + 1002 | 8.359871 4.198549 1.99 0.047 .1233489 16.59639 + 1003 | 13.85104 4.416522 3.14 0.002 5.186905 22.51517 + 1005 | 21.49227 6.914893 3.11 0.002 7.926943 35.05759 + 1006 | 6.512485 4.133627 1.58 0.115 -1.596677 14.62165 + 1007 | 10.23773 5.246578 1.95 0.051 -.0547728 20.53023 + 1010 | 10.4195 4.454953 2.34 0.019 1.679979 19.15903 + 1098 | 4.787516 5.063093 0.95 0.345 -5.14503 14.72006 + 1099 | 3.525571 4.515312 0.78 0.435 -5.332363 12.3835 + 1200 | 23.66793 4.342362 5.45 0.000 15.14928 32.18658 + 1201 | 11.68278 4.175537 2.80 0.005 3.491398 19.87416 + 1202 | 12.89765 5.673303 2.27 0.023 1.768025 24.02728 + 1203 | 5.867981 3.759742 1.56 0.119 -1.507709 13.24367 + 1204 | 9.076541 5.230371 1.74 0.083 -1.184163 19.33725 + 1205 | 8.55228 4.253145 2.01 0.045 .2086537 16.89591 + 1206 | 11.13257 5.958547 1.87 0.062 -.5566341 22.82178 + 1207 | 5.217449 3.690011 1.41 0.158 -2.021447 12.45634 + 1208 | 16.66489 6.036189 2.76 0.006 4.823372 28.50642 + 1209 | 13.17078 4.221701 3.12 0.002 4.888834 21.45272 + 1210 | 9.275138 3.493797 2.65 0.008 2.421166 16.12911 + 1211 | 9.21115 4.46641 2.06 0.039 .4491494 17.97315 + 1299 | 22.64088 4.457829 5.08 0.000 13.89571 31.38604 + 1300 | 9.011606 6.549215 1.38 0.169 -3.836347 21.85956 + 1301 | 29.51501 11.41939 2.58 0.010 7.11297 51.91706 + 1302 | -1.532496 3.676129 -0.42 0.677 -8.744159 5.679168 + 1303 | 13.02334 4.554277 2.86 0.004 4.08897 21.95772 + 1304 | 27.98554 10.21613 2.74 0.006 7.944001 48.02708 + 1305 | 12.0674 8.610917 1.40 0.161 -4.825105 28.95991 + 1399 | 7.936027 8.6013 0.92 0.356 -8.937614 24.80967 + 1400 | 14.83999 6.782376 2.19 0.029 1.534632 28.14535 + 1401 | 9.73171 5.803313 1.68 0.094 -1.652966 21.11639 + 1403 | 10.98601 6.289166 1.75 0.081 -1.351789 23.32381 + 1404 | 3.218524 3.264528 0.99 0.324 -3.185679 9.622726 + 1405 | 6.216242 4.416453 1.41 0.160 -2.447756 14.88024 + 1406 | 22.92388 7.01142 3.27 0.001 9.169196 36.67857 + 1407 | 8.027875 4.391152 1.83 0.068 -.5864865 16.64224 + 1408 | 5.889565 3.44877 1.71 0.088 -.8760765 12.65521 + 1409 | 25.05165 7.367896 3.40 0.001 10.59765 39.50565 + 1410 | 7.669668 4.719382 1.63 0.104 -1.588602 16.92794 + 1499 | .5116372 3.230613 0.16 0.874 -5.826033 6.849308 + 1500 | 17.5672 9.342624 1.88 0.060 -.7607352 35.89514 + 1501 | 11.13562 4.700943 2.37 0.018 1.913525 20.35772 + 1502 | 14.22074 4.693988 3.03 0.002 5.012288 23.42919 + 1504 | 9.90958 5.062268 1.96 0.050 -.0213476 19.84051 + 1505 | 7.51827 4.103352 1.83 0.067 -.5314993 15.56804 + 1507 | 1.475633 3.168105 0.47 0.641 -4.739411 7.690677 + 1520 | 7.828982 4.646325 1.68 0.092 -1.285968 16.94393 + 1521 | 8.083924 3.732518 2.17 0.031 .7616398 15.40621 + 1522 | 8.359673 3.686732 2.27 0.024 1.12721 15.59214 + 1523 | 13.75247 2.92049 4.71 0.000 8.023189 19.48176 + 1524 | 56.46997 27.87044 2.03 0.043 1.795009 111.1449 + 1525 | 15.66522 4.335175 3.61 0.000 7.160671 24.16977 + 1526 | 2.207609 3.723197 0.59 0.553 -5.096389 9.511607 + 1599 | 19.81166 6.708339 2.95 0.003 6.651548 32.97178 + 1600 | 6.335177 4.534442 1.40 0.163 -2.560286 15.23064 + 1602 | 16.85898 13.51587 1.25 0.212 -9.65584 43.3738 + 1603 | 23.79777 8.295012 2.87 0.004 7.524989 40.07055 + 1604 | -5.166229 4.729487 -1.09 0.275 -14.44432 4.111864 + 1605 | 10.81583 5.84639 1.85 0.065 -.6533557 22.28501 + 1606 | -2.055409 4.313055 -0.48 0.634 -10.51657 6.405748 + 1608 | 9.786128 4.88288 2.00 0.045 .2071157 19.36514 + 1609 | 24.26993 5.64763 4.30 0.000 13.19067 35.3492 + 1610 | 9.480825 7.032002 1.35 0.178 -4.314236 23.27589 + 1611 | 1.526586 5.405221 0.28 0.778 -9.077133 12.1303 + 1612 | 10.92385 5.54445 1.97 0.049 .0469966 21.8007 + 1614 | -.9025426 6.868553 -0.13 0.895 -14.37696 12.57187 + 1615 | 15.66694 5.32346 2.94 0.003 5.223621 26.11027 + 1616 | 3.9082 4.66508 0.84 0.402 -5.243542 13.05994 + 1617 | 3.869861 6.339737 0.61 0.542 -8.567148 16.30687 + 1619 | 5.298117 3.868536 1.37 0.171 -2.291001 12.88723 + 1620 | 2.091586 6.332752 0.33 0.741 -10.33172 14.51489 + 1698 | 2.536389 6.287948 0.40 0.687 -9.799022 14.8718 + 1699 | 10.68868 4.835541 2.21 0.027 1.202532 20.17482 + 1700 | 16.58613 7.852606 2.11 0.035 1.181242 31.99102 + 1701 | 7.854239 5.679376 1.38 0.167 -3.287303 18.99578 + 1704 | 19.09843 10.53248 1.81 0.070 -1.563719 39.76057 + 1705 | 7.112518 11.67103 0.61 0.542 -15.78318 30.00822 + 1706 | 4.802363 4.305074 1.12 0.265 -3.643135 13.24786 + 1707 | 11.86305 5.769356 2.06 0.040 .544993 23.18111 + 1708 | 15.60632 6.453694 2.42 0.016 2.945752 28.26688 + 1709 | .8877713 6.592458 0.13 0.893 -12.04501 13.82056 + 1798 | 24.78132 12.99274 1.91 0.057 -.707241 50.26988 + 1799 | 15.37443 11.16239 1.38 0.169 -6.523437 37.27229 + 1800 | 6.74593 4.245179 1.59 0.112 -1.58207 15.07393 + 1802 | 11.54569 4.399497 2.62 0.009 2.914957 20.17643 + 1803 | 20.95234 13.82261 1.52 0.130 -6.164229 48.06891 + 1804 | 5.295417 3.582071 1.48 0.140 -1.731727 12.32256 + 1806 | 12.13788 6.178128 1.96 0.050 .0179048 24.25785 + 1807 | 1.739517 3.059112 0.57 0.570 -4.26171 7.740743 + 1808 | 20.43861 4.177047 4.89 0.000 12.24427 28.63295 + 1899 | 68.83615 4.420255 15.57 0.000 60.1647 77.50761 + 1900 | 16.05161 4.071264 3.94 0.000 8.064788 24.03843 + 1901 | 8.891718 7.407065 1.20 0.230 -5.639126 23.42256 + 1902 | 14.96193 5.334981 2.80 0.005 4.496002 25.42785 + 1905 | 19.23896 13.09053 1.47 0.142 -6.441445 44.91937 + 1906 | 21.02403 11.7591 1.79 0.074 -2.044429 44.0925 + 1907 | 7.921897 7.56366 1.05 0.295 -6.916147 22.75994 + 1908 | 2.664713 8.333738 0.32 0.749 -13.68404 19.01346 + 1909 | -1.92209 7.199924 -0.27 0.790 -16.04657 12.20239 + 1910 | 12.73407 7.696047 1.65 0.098 -2.363687 27.83182 + 1911 | 14.69036 9.079747 1.62 0.106 -3.121873 32.5026 + 1912 | 49.79389 40.30483 1.24 0.217 -29.27429 128.8621 + 1914 | 17.39578 12.38767 1.40 0.160 -6.905782 41.69734 + 1915 | 1.557229 7.304258 0.21 0.831 -12.77193 15.88639 + 1919 | 1.24761 5.286652 0.24 0.813 -9.123504 11.61872 + 1920 | 73.36109 49.47242 1.48 0.138 -23.69165 170.4138 + 1925 | 21.06214 7.078737 2.98 0.003 7.175392 34.94888 + 1926 | 5.832885 6.662078 0.88 0.381 -7.236477 18.90225 + 1927 | 6.894616 6.208582 1.11 0.267 -5.285098 19.07433 + 1929 | 3.682369 4.984022 0.74 0.460 -6.095059 13.4598 + 1999 | 74.23805 3.383673 21.94 0.000 67.60012 80.87599 + 2000 | 11.77964 5.098967 2.31 0.021 1.776717 21.78256 + 2001 | 10.83035 6.151857 1.76 0.079 -1.23808 22.89879 + 2002 | 14.39355 5.130864 2.81 0.005 4.328055 24.45905 + 2003 | 41.90715 11.67884 3.59 0.000 18.99614 64.81816 + 2004 | 13.56709 6.789274 2.00 0.046 .2482 26.88598 + 2005 | -2.771091 11.5014 -0.24 0.810 -25.33402 19.79184 + 2006 | 83.63655 14.53822 5.75 0.000 55.11614 112.157 + 2007 | 1.224375 4.416269 0.28 0.782 -7.43926 9.88801 + 2008 | 12.6526 3.214023 3.94 0.000 6.347475 18.95772 + 2009 | 27.10075 12.94634 2.09 0.037 1.703213 52.49828 + 2011 | 8.169033 4.238353 1.93 0.054 -.1455762 16.48364 + 2012 | 5.704854 6.345853 0.90 0.369 -6.744152 18.15386 + 2013 | 14.23538 6.365556 2.24 0.025 1.747719 26.72304 + 2014 | 10.42764 5.493039 1.90 0.058 -.3483498 21.20364 + 2015 | 24.66219 8.333866 2.96 0.003 8.313195 41.01119 + 2030 | 43.25278 11.26816 3.84 0.000 21.14742 65.35814 + 2099 | 12.72959 9.361879 1.36 0.174 -5.636121 31.0953 + 2100 | 3.497111 3.657225 0.96 0.339 -3.677467 10.67169 + 2101 | 13.88387 4.608097 3.01 0.003 4.843917 22.92383 + 2102 | 5.416318 3.793683 1.43 0.154 -2.025957 12.85859 + 2103 | 13.64057 5.21761 2.61 0.009 3.4049 23.87624 + 2104 | 5.908127 4.070293 1.45 0.147 -2.076789 13.89304 + 2105 | 23.45527 10.22438 2.29 0.022 3.39754 43.51301 + 2199 | 2.28161 6.599549 0.35 0.730 -10.66509 15.22831 + 9999 | 20.03076 11.11026 1.80 0.072 -1.76484 41.82635 + | + house_administration | 9.123872 7.717049 1.18 0.237 -6.015085 24.26283 + house_agriculture | 3.116627 4.924023 0.63 0.527 -6.543097 12.77635 + house_appropriations | .4953765 3.030294 0.16 0.870 -5.449317 6.44007 + house_armedservices | 6.358049 1.980663 3.21 0.001 2.472475 10.24362 + house_budget | -3.337467 3.524026 -0.95 0.344 -10.25074 3.575808 + house_dc | -8.324363 4.88414 -1.70 0.089 -17.90585 1.257121 + house_educlabor | 11.06498 2.673054 4.14 0.000 5.821107 16.30886 + house_energycommerce | 6.184976 2.219695 2.79 0.005 1.830478 10.53947 + house_foreignaffairs | 9.939394 6.383633 1.56 0.120 -2.583727 22.46252 + house_governmentop | 8.902208 3.586962 2.48 0.013 1.865468 15.93895 + house_intelligence | -5.749836 7.983728 -0.72 0.472 -21.41195 9.912279 + house_interior | 4.637693 3.596059 1.29 0.197 -2.416892 11.69228 + house_judiciary | 6.269321 2.472333 2.54 0.011 1.41921 11.11943 + house_mmf | -2.394149 5.444467 -0.44 0.660 -13.07486 8.286559 + house_pocs | 6.666409 5.519695 1.21 0.227 -4.161877 17.4947 + house_pwt | 6.495559 2.544214 2.55 0.011 1.504435 11.48668 + house_rules | 2.67309 2.578815 1.04 0.300 -2.385913 7.732092 + house_sst | 2.70889 4.482373 0.60 0.546 -6.084426 11.50221 + house_smallbusi | .156298 2.620238 0.06 0.952 -4.983966 5.296562 + house_soc | -16.5567 4.724167 -3.50 0.000 -25.82435 -7.289039 + house_veterans | 4.09112 2.717049 1.51 0.132 -1.239064 9.421303 + house_waysandmeans | 5.533615 2.09521 2.64 0.008 1.423327 9.643904 +house_naturalresources | -.9241038 2.294847 -0.40 0.687 -5.426031 3.577824 + house_bfs | 8.269069 5.150738 1.61 0.109 -1.835415 18.37355 + house_eeo | -.2816819 3.31017 -0.09 0.932 -6.775423 6.212059 + house_govreform | 6.224019 2.785449 2.23 0.026 .7596517 11.68839 + house_ir | 6.85587 6.368348 1.08 0.282 -5.637268 19.34901 + house_natsecur | 18.12195 4.781921 3.79 0.000 8.740997 27.50291 + house_oversight | 8.298865 7.265055 1.14 0.254 -5.95339 22.55112 + house_resources | 1.787892 3.756734 0.48 0.634 -5.581899 9.157684 + house_science | -1.027005 2.363636 -0.43 0.664 -5.66388 3.609869 + house_transp | .3183042 2.300133 0.14 0.890 -4.193993 4.830602 + house_homeland | -1.798149 2.982891 -0.60 0.547 -7.64985 4.053552 + _cons | -3.02113 4.240068 -0.71 0.476 -11.3391 5.296844 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,327 1 0 1 1 + + +j = 4 k = 3 + + +rdbwselect_2014 numb_cosponsors MV1_female_l1 if sponsor_party_l1==200 & tag_bill==1 & sponsor_female==0, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 3274 +----------------------+---------------------- NN matches = 3 + Number of obs | 3103 171 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of MV1_female_l1 | 78.154 29.857 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 8.129319 15.7685 .5155415 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female_l1)) +(29,464 missing values generated) +(57,990 missing values generated) +(28,526 real changes made) +reg numb_cosponsors sponsor_female_l1 i.v2 i.minor house_* [aw=wt] if sponsor_party_l1==200 & tag_bill==1 & sponsor_female==0, robust cluster(group_sponsor) +(sum of wgt is 24,416.5009328127) + +Linear regression Number of obs = 15,376 + F(261, 1270) = . + Prob > F = . + R-squared = 0.3343 + Root MSE = 34.78 + + (Std. Err. adjusted for 1,271 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female_l1 | 3.611351 2.163135 1.67 0.095 -.6323598 7.855061 + | + v2 | + 103 | 1.958274 2.435121 0.80 0.421 -2.819027 6.735576 + 104 | .4484016 3.250442 0.14 0.890 -5.928425 6.825229 + 105 | 9.030072 2.757347 3.27 0.001 3.620617 14.43953 + 106 | .1297935 3.027355 0.04 0.966 -5.809374 6.068961 + 108 | 7.195602 3.017764 2.38 0.017 1.275252 13.11595 + 109 | 1.485667 2.674859 0.56 0.579 -3.761961 6.733295 + | + minor | + 101 | -3.107177 7.580739 -0.41 0.682 -17.97933 11.76497 + 103 | 6.630234 11.95682 0.55 0.579 -16.82707 30.08753 + 104 | 5.261303 6.313957 0.83 0.405 -7.125632 17.64824 + 105 | 19.07727 4.653603 4.10 0.000 9.947679 28.20687 + 107 | 20.77482 4.112023 5.05 0.000 12.70771 28.84193 + 108 | 18.41045 7.527085 2.45 0.015 3.643563 33.17734 + 200 | 17.40251 5.354468 3.25 0.001 6.897931 27.90708 + 201 | 8.502966 3.937079 2.16 0.031 .7790722 16.22686 + 202 | 99.24829 19.05044 5.21 0.000 61.8745 136.6221 + 204 | 20.28911 6.895462 2.94 0.003 6.761362 33.81686 + 205 | 65.90882 31.60601 2.09 0.037 3.903097 127.9146 + 206 | 18.28443 10.2944 1.78 0.076 -1.911458 38.48033 + 207 | 11.21903 12.57463 0.89 0.372 -13.45031 35.88837 + 208 | 6.32655 5.628993 1.12 0.261 -4.716597 17.3697 + 209 | 31.37603 18.66563 1.68 0.093 -5.242837 67.99489 + 299 | 168.6298 18.55157 9.09 0.000 132.2347 205.0249 + 300 | -.9530562 9.725825 -0.10 0.922 -20.03351 18.12739 + 301 | -1.432994 6.740401 -0.21 0.832 -14.65654 11.79055 + 302 | 22.04239 7.074664 3.12 0.002 8.163079 35.92171 + 321 | 13.0489 6.743229 1.94 0.053 -.1801944 26.27799 + 322 | 6.753629 5.335134 1.27 0.206 -3.713016 17.22027 + 323 | 5.846198 7.098779 0.82 0.410 -8.080426 19.77282 + 324 | 2.498084 11.08729 0.23 0.822 -19.25333 24.2495 + 325 | 5.395965 6.698318 0.81 0.421 -7.745021 18.53695 + 331 | .171586 14.22359 0.01 0.990 -27.73272 28.0759 + 332 | 7.127227 6.289465 1.13 0.257 -5.211657 19.46611 + 333 | -2.941201 5.161923 -0.57 0.569 -13.06803 7.185632 + 334 | 13.00059 7.925929 1.64 0.101 -2.548761 28.54995 + 335 | 14.17463 7.697774 1.84 0.066 -.9271193 29.27639 + 336 | 8.387647 9.503026 0.88 0.378 -10.25571 27.031 + 341 | 16.42405 5.753609 2.85 0.004 5.136425 27.71167 + 342 | 29.45305 10.16869 2.90 0.004 9.503778 49.40233 + 343 | 2.629636 6.698736 0.39 0.695 -10.51217 15.77144 + 344 | 42.25457 13.06531 3.23 0.001 16.62259 67.88654 + 398 | 50.83171 20.30388 2.50 0.012 10.99888 90.66454 + 399 | -13.57731 8.390661 -1.62 0.106 -30.03839 2.883773 + 400 | 11.44334 5.170098 2.21 0.027 1.300471 21.58622 + 401 | 12.42226 5.467339 2.27 0.023 1.696249 23.14827 + 402 | 10.85285 6.179126 1.76 0.079 -1.269567 22.97527 + 403 | 71.77612 31.06373 2.31 0.021 10.83425 132.718 + 404 | 23.13679 9.85609 2.35 0.019 3.800777 42.4728 + 405 | 62.42042 26.84235 2.33 0.020 9.760195 115.0806 + 498 | 25.38504 11.70293 2.17 0.030 2.425831 48.34425 + 499 | 23.42435 8.746091 2.68 0.007 6.265977 40.58273 + 500 | 66.84542 6.75314 9.90 0.000 53.59689 80.09396 + 501 | 21.32708 6.749962 3.16 0.002 8.084775 34.56938 + 502 | 64.49593 40.85264 1.58 0.115 -15.65015 144.642 + 503 | 9.776308 5.378029 1.82 0.069 -.7744897 20.32711 + 504 | 60.85613 4.9508 12.29 0.000 51.14348 70.56877 + 505 | 21.34233 8.097493 2.64 0.008 5.456395 37.22826 + 506 | 16.77447 9.74498 1.72 0.085 -2.343563 35.8925 + 508 | -5.930109 7.737385 -0.77 0.444 -21.10957 9.249354 + 529 | 28.96914 10.4609 2.77 0.006 8.446597 49.49167 + 530 | 18.12038 4.01504 4.51 0.000 10.24354 25.99722 + 599 | 25.71157 5.5195 4.66 0.000 14.88323 36.53991 + 600 | 7.132964 8.386512 0.85 0.395 -9.319979 23.58591 + 601 | 7.852395 6.573429 1.19 0.232 -5.043578 20.74837 + 602 | 15.35189 4.773143 3.22 0.001 5.987773 24.716 + 603 | 7.639065 8.634792 0.88 0.376 -9.300961 24.57909 + 604 | 6.812731 5.706315 1.19 0.233 -4.38211 18.00757 + 606 | 14.15439 7.341212 1.93 0.054 -.2478421 28.55663 + 607 | 10.76219 8.925339 1.21 0.228 -6.747841 28.27222 + 609 | 17.51215 5.993608 2.92 0.004 5.753684 29.27061 + 698 | 13.08592 5.343667 2.45 0.014 2.60253 23.5693 + 699 | 9.891666 7.71066 1.28 0.200 -5.235367 25.0187 + 700 | 8.577574 5.196635 1.65 0.099 -1.617359 18.77251 + 701 | 7.442427 5.198042 1.43 0.152 -2.755266 17.64012 + 703 | 1.258642 5.829381 0.22 0.829 -10.17763 12.69492 + 704 | 4.613418 6.360747 0.73 0.468 -7.865309 17.09214 + 705 | 10.22091 5.401199 1.89 0.059 -.3753436 20.81716 + 707 | -13.13289 14.21869 -0.92 0.356 -41.0276 14.76182 + 708 | 25.60529 14.557 1.76 0.079 -2.953134 54.16371 + 709 | 25.8111 9.265374 2.79 0.005 7.633978 43.98822 + 710 | 7.203901 5.087888 1.42 0.157 -2.777688 17.18549 + 711 | 8.533524 3.762166 2.27 0.023 1.15278 15.91427 + 798 | 23.37957 9.140608 2.56 0.011 5.447216 41.31192 + 799 | 9.510095 5.102909 1.86 0.063 -.5009646 19.52115 + 800 | 10.86154 5.752126 1.89 0.059 -.4231764 22.14625 + 801 | 18.75559 8.458726 2.22 0.027 2.160979 35.35021 + 802 | -1.885617 5.005364 -0.38 0.706 -11.70531 7.934075 + 803 | 13.89606 4.689095 2.96 0.003 4.696836 23.09529 + 805 | 8.846588 4.969441 1.78 0.075 -.9026286 18.59581 + 806 | 9.670184 5.579492 1.73 0.083 -1.275852 20.61622 + 807 | 6.347756 6.607674 0.96 0.337 -6.615401 19.31091 + 898 | 10.4544 5.216493 2.00 0.045 .2205084 20.68829 + 899 | 7.957544 13.26091 0.60 0.549 -18.05816 33.97325 + 1000 | 5.365165 5.373303 1.00 0.318 -5.176362 15.90669 + 1001 | 4.402636 4.195537 1.05 0.294 -3.828309 12.63358 + 1002 | 3.798582 6.246769 0.61 0.543 -8.456539 16.0537 + 1003 | 13.21855 5.071192 2.61 0.009 3.269715 23.16739 + 1005 | 3.748579 6.409106 0.58 0.559 -8.82502 16.32218 + 1006 | 18.4697 5.037302 3.67 0.000 8.587355 28.35205 + 1007 | 8.287075 4.271928 1.94 0.053 -.0937365 16.66789 + 1010 | 2.814582 5.197874 0.54 0.588 -7.382782 13.01195 + 1098 | -5.015096 7.528813 -0.67 0.505 -19.78537 9.755182 + 1099 | 2.933582 9.042071 0.32 0.746 -14.80546 20.67262 + 1200 | 23.26969 8.263406 2.82 0.005 7.058262 39.48112 + 1201 | 16.61406 5.117417 3.25 0.001 6.574536 26.65358 + 1202 | 21.74375 9.190873 2.37 0.018 3.71279 39.77472 + 1203 | 14.78232 6.419182 2.30 0.021 2.188951 27.37568 + 1204 | 13.05991 4.232475 3.09 0.002 4.756499 21.36332 + 1205 | 20.75083 5.191008 4.00 0.000 10.56693 30.93472 + 1206 | 11.51139 5.237717 2.20 0.028 1.235858 21.78692 + 1207 | 23.17142 5.283417 4.39 0.000 12.80623 33.5366 + 1208 | 20.2368 6.492281 3.12 0.002 7.500023 32.97357 + 1209 | 24.58184 5.967845 4.12 0.000 12.87392 36.28976 + 1210 | 25.01564 7.941145 3.15 0.002 9.436431 40.59484 + 1211 | 17.00241 4.450367 3.82 0.000 8.27153 25.73329 + 1299 | 13.11676 12.05122 1.09 0.277 -10.52572 36.75924 + 1300 | 12.90129 11.43095 1.13 0.259 -9.524339 35.32692 + 1301 | 6.338385 6.469125 0.98 0.327 -6.352962 19.02973 + 1302 | 6.536925 5.511452 1.19 0.236 -4.275627 17.34948 + 1303 | 13.24915 3.809811 3.48 0.001 5.774938 20.72337 + 1304 | 24.43487 6.393939 3.82 0.000 11.89103 36.97872 + 1305 | 47.13056 14.32669 3.29 0.001 19.02398 75.23715 + 1399 | 3.16148 4.348305 0.73 0.467 -5.369172 11.69213 + 1400 | 6.64214 7.439265 0.89 0.372 -7.95246 21.23674 + 1401 | 17.87623 10.89302 1.64 0.101 -3.494058 39.24653 + 1403 | -.4220106 13.43243 -0.03 0.975 -26.7742 25.93018 + 1404 | 1.439102 7.02651 0.20 0.838 -12.34574 15.22395 + 1405 | 6.27009 5.944581 1.05 0.292 -5.39219 17.93237 + 1406 | 19.86415 9.92022 2.00 0.045 .4023272 39.32597 + 1407 | 12.30729 4.780468 2.57 0.010 2.928802 21.68577 + 1408 | -3.633162 6.920172 -0.53 0.600 -17.20939 9.943064 + 1409 | 8.029922 5.449993 1.47 0.141 -2.662058 18.7219 + 1410 | 6.747327 11.3851 0.59 0.554 -15.58834 29.08299 + 1499 | 6.130393 6.444573 0.95 0.342 -6.512788 18.77357 + 1500 | .572735 8.079017 0.07 0.943 -15.27695 16.42242 + 1501 | 5.301567 8.214247 0.65 0.519 -10.81342 21.41655 + 1502 | .1796239 7.443753 0.02 0.981 -14.42378 14.78303 + 1504 | 29.1135 9.714096 3.00 0.003 10.05606 48.17094 + 1505 | 16.46956 5.70692 2.89 0.004 5.273529 27.66558 + 1507 | 7.902638 5.916723 1.34 0.182 -3.704987 19.51026 + 1520 | 7.229435 5.493823 1.32 0.188 -3.548531 18.0074 + 1521 | 19.49495 4.756093 4.10 0.000 10.16428 28.82561 + 1522 | 15.68093 7.677386 2.04 0.041 .6191727 30.74268 + 1523 | 86.94024 44.17869 1.97 0.049 .268999 173.6115 + 1524 | 13.1589 7.856766 1.67 0.094 -2.254769 28.57257 + 1525 | 16.91555 6.652896 2.54 0.011 3.863675 29.96743 + 1526 | 6.962242 5.204517 1.34 0.181 -3.248155 17.17264 + 1599 | 17.01984 6.358664 2.68 0.008 4.545199 29.49448 + 1600 | 7.42441 4.971205 1.49 0.136 -2.328266 17.17709 + 1602 | 33.47894 14.18923 2.36 0.018 5.642036 61.31584 + 1603 | 5.249862 7.338107 0.72 0.474 -9.146284 19.64601 + 1604 | 24.44052 11.60568 2.11 0.035 1.672103 47.20893 + 1605 | 29.48096 9.09356 3.24 0.001 11.6409 47.32101 + 1606 | 19.14196 8.829911 2.17 0.030 1.81914 36.46477 + 1608 | 32.81933 5.96397 5.50 0.000 21.11901 44.51965 + 1609 | 21.75023 4.996195 4.35 0.000 11.94853 31.55193 + 1610 | 39.06323 13.81709 2.83 0.005 11.9564 66.17006 + 1611 | 7.656898 4.097508 1.87 0.062 -.3817309 15.69553 + 1612 | 20.28792 5.62187 3.61 0.000 9.258751 31.3171 + 1614 | 3.216598 5.790671 0.56 0.579 -8.143737 14.57693 + 1615 | 18.77471 8.885594 2.11 0.035 1.342648 36.20676 + 1616 | 11.28434 3.865255 2.92 0.004 3.701351 18.86733 + 1617 | 30.03617 9.439683 3.18 0.001 11.51709 48.55526 + 1619 | 21.97585 9.047935 2.43 0.015 4.225302 39.72639 + 1620 | 6.92182 4.53463 1.53 0.127 -1.974369 15.81801 + 1698 | 2.183259 4.448774 0.49 0.624 -6.544495 10.91101 + 1699 | 21.87308 7.654706 2.86 0.004 6.855821 36.89034 + 1700 | 14.8836 8.427593 1.77 0.078 -1.649938 31.41713 + 1701 | 16.10379 5.065297 3.18 0.002 6.166522 26.04106 + 1704 | 17.64652 5.314983 3.32 0.001 7.219403 28.07363 + 1705 | 3.526314 4.202395 0.84 0.402 -4.718087 11.77071 + 1706 | 30.63139 23.63581 1.30 0.195 -15.73813 77.00091 + 1707 | 68.82549 34.48591 2.00 0.046 1.169869 136.4811 + 1708 | 14.26707 5.105076 2.79 0.005 4.251755 24.28238 + 1709 | 24.21964 5.593201 4.33 0.000 13.24671 35.19257 + 1798 | 14.0539 4.606071 3.05 0.002 5.017554 23.09025 + 1799 | 8.825064 8.18827 1.08 0.281 -7.238961 24.88909 + 1800 | 5.268157 4.880441 1.08 0.281 -4.306456 14.84277 + 1802 | 7.564841 4.115135 1.84 0.066 -.5083689 15.63805 + 1803 | 12.53651 6.928246 1.81 0.071 -1.05556 26.12857 + 1804 | 9.406972 4.787513 1.96 0.050 .0146678 18.79928 + 1806 | 3.195979 4.010193 0.80 0.426 -4.671354 11.06331 + 1807 | 7.073224 4.797525 1.47 0.141 -2.338722 16.48517 + 1808 | 10.77673 22.85204 0.47 0.637 -34.05518 55.60863 + 1899 | 11.84982 13.97509 0.85 0.397 -15.56699 39.26663 + 1900 | 9.713095 5.421925 1.79 0.073 -.92382 20.35001 + 1901 | 9.076315 5.013128 1.81 0.070 -.7586091 18.91124 + 1902 | 20.11921 7.061141 2.85 0.004 6.266422 33.97199 + 1905 | 34.56956 10.45538 3.31 0.001 14.05785 55.08128 + 1906 | 1.551846 7.631381 0.20 0.839 -13.41965 16.52335 + 1907 | 12.10109 4.715499 2.57 0.010 2.850061 21.35211 + 1908 | 12.09402 15.27616 0.79 0.429 -17.87526 42.0633 + 1909 | 5.191686 8.485813 0.61 0.541 -11.45607 21.83944 + 1910 | 24.20601 11.26947 2.15 0.032 2.097192 46.31483 + 1911 | 5.58868 6.04661 0.92 0.356 -6.273764 17.45112 + 1912 | 5.507396 4.220423 1.30 0.192 -2.772371 13.78716 + 1914 | 12.44082 6.324142 1.97 0.049 .0339012 24.84773 + 1915 | 10.58981 4.706656 2.25 0.025 1.356137 19.82349 + 1919 | 12.44452 5.119602 2.43 0.015 2.400713 22.48833 + 1920 | 27.08849 7.772789 3.49 0.001 11.83957 42.33741 + 1925 | 26.66767 6.146692 4.34 0.000 14.60888 38.72646 + 1926 | 18.76568 4.950321 3.79 0.000 9.053973 28.47739 + 1927 | 12.48474 5.001864 2.50 0.013 2.671917 22.29757 + 1929 | 21.26442 7.045038 3.02 0.003 7.443232 35.08562 + 1999 | 13.10477 4.850335 2.70 0.007 3.589216 22.62032 + 2000 | 15.09664 4.295977 3.51 0.000 6.668647 23.52463 + 2001 | 23.24438 5.310431 4.38 0.000 12.8262 33.66256 + 2002 | 14.46188 4.289815 3.37 0.001 6.045976 22.87778 + 2003 | 23.76173 5.698737 4.17 0.000 12.58176 34.9417 + 2004 | 14.1646 4.206033 3.37 0.001 5.91306 22.41614 + 2005 | 10.78142 5.363703 2.01 0.045 .2587257 21.30411 + 2006 | 123.8141 29.1696 4.24 0.000 66.58822 181.04 + 2007 | 14.7535 5.392086 2.74 0.006 4.175122 25.33187 + 2008 | 13.57725 4.38778 3.09 0.002 4.969158 22.18535 + 2009 | 18.15603 8.815869 2.06 0.040 .8607608 35.4513 + 2011 | 16.13059 4.632845 3.48 0.001 7.041715 25.21946 + 2012 | 5.612889 5.547813 1.01 0.312 -5.270998 16.49678 + 2013 | 13.62567 5.246661 2.60 0.010 3.332594 23.91875 + 2014 | 9.611634 4.591978 2.09 0.037 .6029369 18.62033 + 2015 | 6.040021 4.624121 1.31 0.192 -3.031736 15.11178 + 2030 | 25.12447 9.687707 2.59 0.010 6.118798 44.13014 + 2099 | 22.7298 8.040325 2.83 0.005 6.956015 38.50358 + 2100 | 8.58547 5.167513 1.66 0.097 -1.552331 18.72327 + 2101 | 9.145457 4.742451 1.93 0.054 -.1584424 18.44936 + 2102 | 9.501055 6.522294 1.46 0.145 -3.294601 22.29671 + 2103 | 7.764504 5.043744 1.54 0.124 -2.130484 17.65949 + 2104 | 2.986636 4.337146 0.69 0.491 -5.522122 11.49539 + 2105 | 23.72004 10.1481 2.34 0.020 3.811154 43.62893 + 2199 | -3.947646 6.668238 -0.59 0.554 -17.02962 9.134328 + 9999 | 17.73766 14.34511 1.24 0.217 -10.40506 45.88038 + | + house_administration | 15.17339 8.075323 1.88 0.060 -.6690517 31.01583 + house_agriculture | 4.435811 5.96337 0.74 0.457 -7.263329 16.13495 + house_appropriations | -4.473763 4.268283 -1.05 0.295 -12.84742 3.899898 + house_armedservices | 1.076606 3.079942 0.35 0.727 -4.965729 7.11894 + house_budget | -.7853882 4.738881 -0.17 0.868 -10.08229 8.511509 + house_dc | 7.589618 5.596882 1.36 0.175 -3.390534 18.56977 + house_educlabor | 9.687932 4.29238 2.26 0.024 1.266996 18.10887 + house_energycommerce | 13.713 4.085112 3.36 0.001 5.698694 21.72731 + house_foreignaffairs | 4.36517 3.048945 1.43 0.152 -1.616353 10.34669 + house_governmentop | -3.417096 3.248832 -1.05 0.293 -9.790764 2.956572 + house_intelligence | 4.004958 8.941817 0.45 0.654 -13.5374 21.54732 + house_interior | 4.451429 3.345701 1.33 0.184 -2.112281 11.01514 + house_judiciary | 2.362376 1.707692 1.38 0.167 -.9878307 5.712583 + house_mmf | -1.987017 3.148794 -0.63 0.528 -8.164426 4.190392 + house_pocs | .1248422 3.582776 0.03 0.972 -6.903969 7.153654 + house_pwt | 4.357946 2.974233 1.47 0.143 -1.477004 10.1929 + house_rules | 8.187372 2.550175 3.21 0.001 3.184353 13.19039 + house_sst | 15.35858 6.233592 2.46 0.014 3.12931 27.58785 + house_smallbusi | -2.689282 3.514375 -0.77 0.444 -9.5839 4.205336 + house_soc | -7.275528 7.240322 -1.00 0.315 -21.47984 6.928779 + house_veterans | 2.985554 3.164851 0.94 0.346 -3.223357 9.194464 + house_waysandmeans | 4.618348 2.899904 1.59 0.112 -1.070781 10.30748 +house_naturalresources | -2.753798 4.11065 -0.67 0.503 -10.81821 5.310614 + house_bfs | 17.26548 7.164289 2.41 0.016 3.210338 31.32062 + house_eeo | 12.70795 5.758893 2.21 0.028 1.409964 24.00594 + house_govreform | 1.297363 2.342268 0.55 0.580 -3.297776 5.892503 + house_ir | 1.960493 2.389707 0.82 0.412 -2.727715 6.648702 + house_natsecur | 6.298281 4.366535 1.44 0.149 -2.268135 14.8647 + house_oversight | 2.262449 4.449634 0.51 0.611 -6.466993 10.99189 + house_resources | 2.304633 4.587079 0.50 0.615 -6.694452 11.30372 + house_science | -7.790776 4.159218 -1.87 0.061 -15.95047 .3689184 + house_transp | 14.28052 5.775269 2.47 0.014 2.950403 25.61064 + house_homeland | 9.140991 5.336018 1.71 0.087 -1.327388 19.60937 + _cons | -9.865342 3.702044 -2.66 0.008 -17.12814 -2.602547 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,271 1 0 1 1 + + +j = 5 k = 1 + + +rdbwselect_2014 numb_cosponsors MV1_female_l1 if tag_bill==1 & sponsor_female==0, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5144 +----------------------+---------------------- NN matches = 3 + Number of obs | 4450 694 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of MV1_female_l1 | 99.716 73.923 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 9.734343 19.66265 .4950678 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female_l1)) +(29,292 missing values generated) +(57,167 missing values generated) +(27,875 real changes made) +reg numb_cosponsors sponsor_female_l1 i.v2 i.minor house_* [aw=wt] if tag_bill==1 & sponsor_female==0, robust cluster(group_sponsor) +(sum of wgt is 46,604.0670666695) + +Linear regression Number of obs = 28,123 + F(264, 2424) = 13.83 + Prob > F = 0.0000 + R-squared = 0.1682 + Root MSE = 29.643 + + (Std. Err. adjusted for 2,425 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female_l1 | -2.313941 1.504641 -1.54 0.124 -5.264456 .636575 + | + v2 | + 103 | 1.433596 1.429495 1.00 0.316 -1.369562 4.236755 + 104 | 2.281472 1.262848 1.81 0.071 -.1949 4.757844 + 105 | 5.016543 1.682652 2.98 0.003 1.716958 8.316127 + 106 | 2.791882 1.703102 1.64 0.101 -.5478039 6.131567 + 108 | 5.354362 1.573908 3.40 0.001 2.268018 8.440706 + 109 | 4.001629 1.699598 2.35 0.019 .6688132 7.334445 + 110 | 1.346909 1.2707 1.06 0.289 -1.144861 3.838678 + | + minor | + 101 | -2.514839 3.36298 -0.75 0.455 -9.109452 4.079773 + 103 | 13.82646 9.784215 1.41 0.158 -5.359835 33.01274 + 104 | 6.912258 3.450862 2.00 0.045 .1453141 13.6792 + 105 | 16.469 4.145974 3.97 0.000 8.338979 24.59902 + 107 | 15.9815 2.625373 6.09 0.000 10.83329 21.12971 + 108 | 2.014885 5.429848 0.37 0.711 -8.632739 12.66251 + 200 | 16.50099 4.469843 3.69 0.000 7.735882 25.2661 + 201 | 4.991065 4.400873 1.13 0.257 -3.638796 13.62093 + 202 | 42.51246 15.71055 2.71 0.007 11.70496 73.31996 + 204 | 33.73016 11.30476 2.98 0.003 11.56217 55.89814 + 205 | 82.39718 31.6158 2.61 0.009 20.4004 144.394 + 206 | 18.53655 6.731501 2.75 0.006 5.336464 31.73664 + 207 | 21.83054 7.324061 2.98 0.003 7.468476 36.19261 + 208 | 11.79281 3.662243 3.22 0.001 4.611362 18.97426 + 209 | 28.22148 19.99401 1.41 0.158 -10.98564 67.4286 + 299 | 165.6833 27.33515 6.06 0.000 112.0806 219.286 + 300 | 11.17661 4.741544 2.36 0.018 1.878713 20.47451 + 301 | 13.18534 3.312629 3.98 0.000 6.689465 19.68122 + 302 | 17.2022 3.009146 5.72 0.000 11.30143 23.10296 + 321 | 13.74553 3.101615 4.43 0.000 7.663438 19.82762 + 322 | 11.55184 3.135121 3.68 0.000 5.40405 17.69964 + 323 | 24.74141 7.261466 3.41 0.001 10.50209 38.98073 + 324 | 3.948146 2.852406 1.38 0.166 -1.645259 9.541551 + 325 | 14.99167 3.102246 4.83 0.000 8.908347 21.075 + 331 | 19.86984 4.480643 4.43 0.000 11.08355 28.65613 + 332 | 20.92507 3.941798 5.31 0.000 13.19543 28.65471 + 333 | 27.02964 7.526148 3.59 0.000 12.27129 41.78798 + 334 | 23.14676 4.438929 5.21 0.000 14.44227 31.85124 + 335 | 17.58958 4.327854 4.06 0.000 9.102902 26.07625 + 336 | 31.28196 5.47529 5.71 0.000 20.54522 42.01869 + 341 | 16.21231 3.134491 5.17 0.000 10.06576 22.35887 + 342 | 12.59388 7.170271 1.76 0.079 -1.466608 26.65438 + 343 | 1.179523 4.966887 0.24 0.812 -8.56026 10.91931 + 344 | 16.83448 6.421778 2.62 0.009 4.241739 29.42722 + 398 | 30.88878 7.126656 4.33 0.000 16.91382 44.86375 + 399 | 14.03105 7.882548 1.78 0.075 -1.426179 29.48828 + 400 | 8.987238 6.076901 1.48 0.139 -2.929219 20.90369 + 401 | 11.35211 5.891338 1.93 0.054 -.200471 22.90469 + 402 | 10.57856 5.576406 1.90 0.058 -.3564548 21.51358 + 403 | 16.10571 8.87939 1.81 0.070 -1.306271 33.51769 + 404 | -1.60594 6.018136 -0.27 0.790 -13.40716 10.19528 + 405 | 28.68881 12.11216 2.37 0.018 4.937562 52.44006 + 498 | 25.28838 12.37293 2.04 0.041 1.02577 49.55099 + 499 | 29.24549 13.5583 2.16 0.031 2.658444 55.83254 + 500 | 35.65261 18.18446 1.96 0.050 -.0060829 71.3113 + 501 | 23.97094 8.168668 2.93 0.003 7.952647 39.98924 + 502 | 11.9894 3.862022 3.10 0.002 4.416195 19.56261 + 503 | 16.36511 3.811029 4.29 0.000 8.891895 23.83832 + 504 | 33.43213 6.394628 5.23 0.000 20.89263 45.97163 + 505 | 16.0997 4.659516 3.46 0.001 6.962656 25.23675 + 506 | 35.35006 8.463299 4.18 0.000 18.75401 51.94611 + 508 | 14.7893 5.161886 2.87 0.004 4.667133 24.91146 + 529 | 20.62016 7.307167 2.82 0.005 6.291226 34.9491 + 530 | 15.83096 3.409963 4.64 0.000 9.144216 22.5177 + 599 | 21.62068 10.14001 2.13 0.033 1.736695 41.50466 + 600 | 16.34934 4.882337 3.35 0.001 6.775355 25.92333 + 601 | 9.791485 3.253733 3.01 0.003 3.411099 16.17187 + 602 | 17.34302 4.027002 4.31 0.000 9.446295 25.23974 + 603 | 21.82479 5.428521 4.02 0.000 11.17977 32.46981 + 604 | 7.728583 3.221097 2.40 0.016 1.412196 14.04497 + 606 | 27.13284 7.940719 3.42 0.001 11.56154 42.70414 + 607 | 22.12824 5.805009 3.81 0.000 10.74495 33.51153 + 609 | 11.46992 4.611503 2.49 0.013 2.427024 20.51281 + 698 | 7.05551 4.994324 1.41 0.158 -2.738076 16.8491 + 699 | 17.34203 6.528537 2.66 0.008 4.539942 30.14412 + 700 | 11.15301 3.061344 3.64 0.000 5.149886 17.15613 + 701 | 11.63458 3.324159 3.50 0.000 5.116092 18.15307 + 703 | 11.66335 2.928504 3.98 0.000 5.920716 17.40598 + 704 | 9.328047 2.918479 3.20 0.001 3.605076 15.05102 + 705 | 15.68686 3.648451 4.30 0.000 8.532457 22.84127 + 707 | 11.99974 10.12459 1.19 0.236 -7.853999 31.85348 + 708 | 12.87459 4.04818 3.18 0.001 4.93634 20.81284 + 709 | 34.08185 12.68464 2.69 0.007 9.207996 58.95571 + 710 | 17.37989 3.686775 4.71 0.000 10.15034 24.60945 + 711 | 12.92435 4.031323 3.21 0.001 5.019158 20.82955 + 798 | 16.52774 5.910467 2.80 0.005 4.93765 28.11783 + 799 | 10.84298 3.788101 2.86 0.004 3.414732 18.27123 + 800 | 7.779244 3.187279 2.44 0.015 1.529172 14.02932 + 801 | 9.701185 5.155819 1.88 0.060 -.4090829 19.81145 + 802 | 8.121393 2.871402 2.83 0.005 2.490738 13.75205 + 803 | 4.299789 2.365485 1.82 0.069 -.3387929 8.938371 + 805 | 10.27584 3.915246 2.62 0.009 2.598263 17.95341 + 806 | 13.10212 3.14558 4.17 0.000 6.933819 19.27042 + 807 | 9.676446 3.164779 3.06 0.002 3.470494 15.8824 + 898 | 10.07518 7.049974 1.43 0.153 -3.749417 23.89978 + 899 | 5.176277 4.385454 1.18 0.238 -3.423348 13.7759 + 1000 | 9.860686 3.999766 2.47 0.014 2.017372 17.704 + 1001 | 6.461949 2.59197 2.49 0.013 1.379243 11.54466 + 1002 | 8.760062 2.727122 3.21 0.001 3.41233 14.10779 + 1003 | 15.05711 3.167424 4.75 0.000 8.845973 21.26825 + 1005 | 17.44039 5.589991 3.12 0.002 6.478735 28.40205 + 1006 | 10.88273 2.837055 3.84 0.000 5.319431 16.44604 + 1007 | 6.584503 2.631394 2.50 0.012 1.42449 11.74452 + 1010 | 7.554522 3.23276 2.34 0.020 1.215262 13.89378 + 1098 | 3.316647 3.796848 0.87 0.382 -4.128755 10.76205 + 1099 | 6.041319 6.005838 1.01 0.315 -5.735787 17.81842 + 1200 | 23.9788 6.692054 3.58 0.000 10.85606 37.10154 + 1201 | 14.08597 4.230998 3.33 0.001 5.789221 22.38271 + 1202 | 17.98495 5.806451 3.10 0.002 6.59883 29.37107 + 1203 | 10.49142 2.754409 3.81 0.000 5.090182 15.89266 + 1204 | 13.06034 3.934435 3.32 0.001 5.345138 20.77555 + 1205 | 15.32511 4.118356 3.72 0.000 7.249245 23.40097 + 1206 | 14.24191 4.833183 2.95 0.003 4.76431 23.7195 + 1207 | 15.93471 4.453861 3.58 0.000 7.20094 24.66848 + 1208 | 17.63059 3.477951 5.07 0.000 10.81053 24.45066 + 1209 | 21.09396 4.897032 4.31 0.000 11.49116 30.69676 + 1210 | 21.72038 7.715125 2.82 0.005 6.591455 36.8493 + 1211 | 11.25313 3.402254 3.31 0.001 4.581504 17.92476 + 1299 | 25.96947 7.072138 3.67 0.000 12.10141 39.83753 + 1300 | 10.77152 5.569873 1.93 0.053 -.1506787 21.69373 + 1301 | 10.63848 6.209762 1.71 0.087 -1.538512 22.81547 + 1302 | 4.317347 2.588028 1.67 0.095 -.7576299 9.392323 + 1303 | 14.16535 2.567023 5.52 0.000 9.131567 19.19914 + 1304 | 29.74216 6.351675 4.68 0.000 17.28689 42.19744 + 1305 | 35.07944 9.515965 3.69 0.000 16.41918 53.73971 + 1399 | 4.603267 3.236981 1.42 0.155 -1.744269 10.9508 + 1400 | 14.21061 6.231859 2.28 0.023 1.990292 26.43093 + 1401 | 14.00733 4.936483 2.84 0.005 4.327167 23.68749 + 1403 | 6.499495 5.475739 1.19 0.235 -4.238118 17.23711 + 1404 | 2.889114 3.496487 0.83 0.409 -3.967298 9.745526 + 1405 | 6.327453 3.678515 1.72 0.086 -.8859059 13.54081 + 1406 | 19.58264 5.821741 3.36 0.001 8.166538 30.99874 + 1407 | 10.94637 3.479108 3.15 0.002 4.124039 17.7687 + 1408 | 7.638736 4.174497 1.83 0.067 -.5472148 15.82469 + 1409 | 19.59766 5.279608 3.71 0.000 9.244645 29.95067 + 1410 | 11.38595 6.056194 1.88 0.060 -.4899032 23.2618 + 1499 | 3.064309 3.162906 0.97 0.333 -3.13797 9.266588 + 1500 | 16.51021 7.365911 2.24 0.025 2.066078 30.95435 + 1501 | 11.36621 4.215666 2.70 0.007 3.099527 19.63289 + 1502 | 13.20295 3.53154 3.74 0.000 6.277801 20.1281 + 1504 | 20.47992 5.992045 3.42 0.001 8.729862 32.22998 + 1505 | 12.00487 3.192804 3.76 0.000 5.743958 18.26577 + 1507 | 7.845305 3.00975 2.61 0.009 1.943357 13.74725 + 1520 | 14.13968 7.039982 2.01 0.045 .3346763 27.94468 + 1521 | 12.52811 4.636497 2.70 0.007 3.436202 21.62001 + 1522 | 12.72063 4.504608 2.82 0.005 3.887345 21.5539 + 1523 | 45.85725 27.72097 1.65 0.098 -8.501998 100.2165 + 1524 | 72.57584 31.15478 2.33 0.020 11.48309 133.6686 + 1525 | 16.11716 3.38461 4.76 0.000 9.480132 22.75419 + 1526 | 9.409811 4.634762 2.03 0.042 .3213056 18.49832 + 1599 | 18.34075 3.757044 4.88 0.000 10.9734 25.7081 + 1600 | 8.141133 4.228376 1.93 0.054 -.1504715 16.43274 + 1602 | 27.45785 11.88282 2.31 0.021 4.156317 50.75938 + 1603 | 9.998752 5.726503 1.75 0.081 -1.230596 21.2281 + 1604 | 6.987139 7.428573 0.94 0.347 -7.57987 21.55415 + 1605 | 19.69712 5.104186 3.86 0.000 9.688099 29.70614 + 1606 | 11.60869 5.359955 2.17 0.030 1.098121 22.11925 + 1608 | 19.47266 5.18863 3.75 0.000 9.298052 29.64727 + 1609 | 24.40188 3.996089 6.11 0.000 16.56578 32.23798 + 1610 | 16.47401 6.136051 2.68 0.007 4.441566 28.50646 + 1611 | 6.524615 4.404797 1.48 0.139 -2.112942 15.16217 + 1612 | 13.92655 4.210413 3.31 0.001 5.670168 22.18293 + 1614 | 3.632011 4.629593 0.78 0.433 -5.446357 12.71038 + 1615 | 17.43993 4.452533 3.92 0.000 8.708767 26.1711 + 1616 | 9.705549 3.539597 2.74 0.006 2.764601 16.6465 + 1617 | 7.699096 5.433491 1.42 0.157 -2.95567 18.35386 + 1619 | 17.84587 5.707648 3.13 0.002 6.653495 29.03824 + 1620 | 9.25588 4.475217 2.07 0.039 .4802337 18.03153 + 1698 | 1.77989 4.053574 0.44 0.661 -6.168938 9.728718 + 1699 | 4.245594 3.781668 1.12 0.262 -3.170042 11.66123 + 1700 | 16.30283 6.623537 2.46 0.014 3.314454 29.29121 + 1701 | 12.59728 4.773953 2.64 0.008 3.23583 21.95873 + 1704 | 18.38245 5.815352 3.16 0.002 6.978872 29.78602 + 1705 | 2.650876 7.114184 0.37 0.709 -11.29963 16.60139 + 1706 | 14.20126 5.045456 2.81 0.005 4.307407 24.09511 + 1707 | 23.0425 6.818623 3.38 0.001 9.671568 36.41343 + 1708 | 14.41943 4.602966 3.13 0.002 5.393279 23.44559 + 1709 | 14.25583 7.194739 1.98 0.048 .1473608 28.36431 + 1798 | 13.76361 5.987851 2.30 0.022 2.021777 25.50545 + 1799 | 15.43548 8.786486 1.76 0.079 -1.794318 32.66528 + 1800 | 8.726117 3.150178 2.77 0.006 2.548798 14.90344 + 1802 | 10.27751 2.821536 3.64 0.000 4.744636 15.81038 + 1803 | 18.17611 4.569436 3.98 0.000 9.215702 27.13651 + 1804 | 8.823528 2.831179 3.12 0.002 3.271747 14.37531 + 1806 | 9.257414 4.103151 2.26 0.024 1.211368 17.30346 + 1807 | 4.225691 2.764151 1.53 0.126 -1.194653 9.646034 + 1808 | 23.67276 4.868689 4.86 0.000 14.12554 33.21998 + 1899 | 24.38674 14.14725 1.72 0.085 -3.355215 52.12869 + 1900 | 20.69443 5.007074 4.13 0.000 10.87584 30.51302 + 1901 | 17.03586 3.493347 4.88 0.000 10.1856 23.88611 + 1902 | 23.20149 5.983959 3.88 0.000 11.46728 34.93569 + 1905 | 43.11617 10.54405 4.09 0.000 22.43989 63.79244 + 1906 | 26.34923 15.74747 1.67 0.094 -4.530665 57.22912 + 1907 | 13.51549 4.238939 3.19 0.001 5.203172 21.82781 + 1908 | 15.12481 10.12149 1.49 0.135 -4.722849 34.97248 + 1909 | 5.107887 5.15156 0.99 0.322 -4.994029 15.2098 + 1910 | 16.60702 6.304707 2.63 0.008 4.243853 28.9702 + 1911 | 19.86439 6.537623 3.04 0.002 7.044485 32.6843 + 1912 | 7.741681 4.591848 1.69 0.092 -1.262672 16.74603 + 1914 | 30.46707 10.39364 2.93 0.003 10.08573 50.8484 + 1915 | 6.301347 4.98087 1.27 0.206 -3.465855 16.06855 + 1919 | 14.35608 4.494105 3.19 0.001 5.543391 23.16876 + 1920 | 47.16773 22.10192 2.13 0.033 3.827122 90.50835 + 1925 | 27.96543 5.245795 5.33 0.000 17.67873 38.25214 + 1926 | 20.55863 5.011273 4.10 0.000 10.73181 30.38546 + 1927 | 17.71884 5.27838 3.36 0.001 7.368233 28.06944 + 1929 | 20.74858 5.24024 3.96 0.000 10.47277 31.02439 + 1999 | 28.57311 13.99945 2.04 0.041 1.120981 56.02523 + 2000 | 12.04394 4.195224 2.87 0.004 3.817346 20.27054 + 2001 | 20.08395 5.562672 3.61 0.000 9.175864 30.99203 + 2002 | 15.18939 4.202151 3.61 0.000 6.949208 23.42957 + 2003 | 33.59268 7.187073 4.67 0.000 19.49923 47.68612 + 2004 | 16.08092 4.461366 3.60 0.000 7.332435 24.8294 + 2005 | 4.388308 6.114209 0.72 0.473 -7.601308 16.37792 + 2006 | 89.38616 10.49633 8.52 0.000 68.80345 109.9689 + 2007 | 13.5329 5.250818 2.58 0.010 3.236346 23.82946 + 2008 | 15.56561 3.440967 4.52 0.000 8.818073 22.31316 + 2009 | 24.24472 9.105692 2.66 0.008 6.388977 42.10047 + 2011 | 12.82513 4.371837 2.93 0.003 4.252206 21.39805 + 2012 | 8.430679 4.805113 1.75 0.079 -.991874 17.85323 + 2013 | 14.53243 4.943322 2.94 0.003 4.838859 24.226 + 2014 | 10.82721 4.689668 2.31 0.021 1.631042 20.02339 + 2015 | 13.97938 6.235994 2.24 0.025 1.750953 26.20781 + 2030 | 28.72407 8.525207 3.37 0.001 12.00662 45.44151 + 2099 | 19.25939 8.941778 2.15 0.031 1.725068 36.7937 + 2100 | 6.344907 3.255023 1.95 0.051 -.0380086 12.72782 + 2101 | 14.18688 3.014549 4.71 0.000 8.275525 20.09824 + 2102 | 4.535449 2.438467 1.86 0.063 -.2462457 9.317144 + 2103 | 10.52401 3.348696 3.14 0.002 3.957405 17.09061 + 2104 | 7.244185 2.967534 2.44 0.015 1.425019 13.06335 + 2105 | 23.19638 11.8494 1.96 0.050 -.0396146 46.43237 + 2199 | -.4988828 3.560092 -0.14 0.889 -7.480022 6.482256 + 9999 | 40.89239 13.51003 3.03 0.002 14.39999 67.38479 + | + house_administration | 9.536588 5.315288 1.79 0.073 -.8863896 19.95956 + house_agriculture | 7.638996 5.707906 1.34 0.181 -3.553884 18.83188 + house_appropriations | -.1586382 2.288641 -0.07 0.945 -4.646533 4.329256 + house_armedservices | 7.574393 2.051341 3.69 0.000 3.551829 11.59696 + house_budget | .4530468 3.244388 0.14 0.889 -5.909014 6.815108 + house_dc | .4173483 4.409635 0.09 0.925 -8.229696 9.064392 + house_educlabor | 5.74303 1.933997 2.97 0.003 1.950572 9.535488 + house_energycommerce | 8.096076 3.170647 2.55 0.011 1.878618 14.31353 + house_foreignaffairs | -2.3592 2.16274 -1.09 0.275 -6.600211 1.88181 + house_governmentop | 7.450457 2.758472 2.70 0.007 2.04125 12.85966 + house_intelligence | .8941866 5.741056 0.16 0.876 -10.3637 12.15207 + house_interior | 4.359963 2.396577 1.82 0.069 -.3395887 9.059514 + house_judiciary | 5.160654 1.37331 3.76 0.000 2.46767 7.853637 + house_mmf | 1.110831 3.914962 0.28 0.777 -6.566186 8.787849 + house_pocs | 6.060706 3.910845 1.55 0.121 -1.608239 13.72965 + house_pwt | 4.66327 1.7342 2.69 0.007 1.262604 8.063937 + house_rules | 5.198523 1.868304 2.78 0.005 1.534885 8.862161 + house_sst | 8.034609 3.576461 2.25 0.025 1.021372 15.04785 + house_smallbusi | -2.897876 3.088868 -0.94 0.348 -8.954971 3.159219 + house_soc | -16.68829 4.696744 -3.55 0.000 -25.89834 -7.47824 + house_veterans | 4.208047 2.516134 1.67 0.095 -.7259477 9.142042 + house_waysandmeans | 5.511767 2.604869 2.12 0.034 .4037677 10.61977 +house_naturalresources | 1.154108 2.776624 0.42 0.678 -4.290694 6.598911 + house_bfs | 10.89331 7.259382 1.50 0.134 -3.341926 25.12855 + house_eeo | 8.038029 3.1166 2.58 0.010 1.926553 14.1495 + house_govreform | 2.643531 1.511183 1.75 0.080 -.3198131 5.606875 + house_ir | -.2335862 2.365178 -0.10 0.921 -4.871566 4.404394 + house_natsecur | 11.66881 3.535072 3.30 0.001 4.73673 18.60088 + house_oversight | 6.862305 3.261219 2.10 0.035 .4672398 13.25737 + house_resources | -1.51156 2.829871 -0.53 0.593 -7.060776 4.037655 + house_science | -.6574692 2.073455 -0.32 0.751 -4.723397 3.408459 + house_transp | 5.959637 4.393529 1.36 0.175 -2.655823 14.5751 + house_homeland | -2.049833 2.173686 -0.94 0.346 -6.312308 2.212643 + _cons | -8.733174 4.084383 -2.14 0.033 -16.74242 -.7239306 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,425 1 0 1 1 + + +j = 5 k = 2 + + +rdbwselect_2014 numb_cosponsors MV1_female_l1 if sponsor_party_l1==100 & tag_bill==1 & sponsor_female==0, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 1870 +----------------------+---------------------- NN matches = 3 + Number of obs | 1347 523 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of MV1_female_l1 | 99.685 73.923 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 12.83814 24.42237 .5256713 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female_l1)) +(29,292 missing values generated) +(57,167 missing values generated) +(27,875 real changes made) +reg numb_cosponsors sponsor_female_l1 i.v2 i.minor house_* [aw=wt] if sponsor_party_l1==100 & tag_bill==1 & sponsor_female==0, robust cluster(group_sponsor) +(sum of wgt is 18,588.4540207386) + +Linear regression Number of obs = 13,778 + F(257, 1171) = . + Prob > F = . + R-squared = 0.1186 + Root MSE = 31.753 + + (Std. Err. adjusted for 1,172 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female_l1 | -3.917021 1.691502 -2.32 0.021 -7.235734 -.5983072 + | + v2 | + 103 | -.882571 1.465058 -0.60 0.547 -3.757003 1.991861 + 104 | -2.988901 1.699675 -1.76 0.079 -6.32365 .3458479 + 105 | .6582375 2.09214 0.31 0.753 -3.446523 4.762998 + 106 | 1.560727 2.524838 0.62 0.537 -3.392985 6.51444 + 108 | 1.306135 2.031606 0.64 0.520 -2.67986 5.292131 + 109 | 1.509249 2.120336 0.71 0.477 -2.650833 5.669332 + 110 | 1.742511 1.391609 1.25 0.211 -.9878143 4.472836 + | + minor | + 101 | 1.136711 2.959192 0.38 0.701 -4.669201 6.942622 + 103 | -4.818091 3.29148 -1.46 0.144 -11.27595 1.639766 + 104 | 7.587433 3.345858 2.27 0.024 1.022887 14.15198 + 105 | 7.093916 3.821839 1.86 0.064 -.4045012 14.59233 + 107 | 11.04024 2.712603 4.07 0.000 5.718138 16.36235 + 108 | 5.705721 4.446851 1.28 0.200 -3.018964 14.43041 + 200 | 12.80179 5.658892 2.26 0.024 1.699092 23.90449 + 201 | 2.642586 4.399905 0.60 0.548 -5.989993 11.27516 + 202 | 36.06846 17.99581 2.00 0.045 .7608244 71.37609 + 204 | 47.7651 23.47311 2.03 0.042 1.711051 93.81915 + 205 | 99.69472 55.44005 1.80 0.072 -9.078206 208.4676 + 206 | 14.34112 6.259976 2.29 0.022 2.059097 26.62314 + 207 | 24.42817 8.904931 2.74 0.006 6.956766 41.89957 + 208 | 9.857611 3.96581 2.49 0.013 2.076723 17.6385 + 299 | 50.88567 26.39346 1.93 0.054 -.8980727 102.6694 + 300 | 14.72485 6.380753 2.31 0.021 2.205868 27.24384 + 301 | 15.11433 4.487778 3.37 0.001 6.309342 23.91931 + 302 | 18.31017 4.187874 4.37 0.000 10.0936 26.52675 + 321 | 9.383444 3.854809 2.43 0.015 1.820339 16.94655 + 322 | 9.279242 3.937726 2.36 0.019 1.553456 17.00503 + 323 | 30.91755 8.669121 3.57 0.000 13.9088 47.92629 + 324 | 4.938216 3.378514 1.46 0.144 -1.6904 11.56683 + 325 | 13.90211 4.050292 3.43 0.001 5.955469 21.84875 + 331 | 18.19498 4.983681 3.65 0.000 8.417041 27.97292 + 332 | 25.33443 5.549937 4.56 0.000 14.4455 36.22336 + 333 | 39.43335 7.879596 5.00 0.000 23.97365 54.89305 + 334 | 24.11256 4.805672 5.02 0.000 14.68387 33.54125 + 335 | 15.14479 5.055972 3.00 0.003 5.225015 25.06457 + 336 | 37.71163 8.524373 4.42 0.000 20.98688 54.43638 + 341 | 14.07815 3.804633 3.70 0.000 6.613487 21.54281 + 342 | 3.26706 4.767147 0.69 0.493 -6.086044 12.62016 + 343 | .8096583 5.386742 0.15 0.881 -9.759087 11.3784 + 344 | 8.013043 5.435134 1.47 0.141 -2.650645 18.67673 + 398 | 19.89417 5.271784 3.77 0.000 9.550968 30.23736 + 399 | 26.10186 12.94436 2.02 0.044 .7051322 51.49859 + 400 | 7.476879 6.764419 1.11 0.269 -5.794857 20.74862 + 401 | 10.33242 7.003218 1.48 0.140 -3.407838 24.07267 + 402 | 7.023529 5.711478 1.23 0.219 -4.182345 18.2294 + 403 | 6.535674 6.428461 1.02 0.310 -6.076914 19.14826 + 404 | -1.971641 6.718668 -0.29 0.769 -15.15361 11.21033 + 405 | 15.66159 8.580043 1.83 0.068 -1.172382 32.49557 + 498 | 25.13903 19.8436 1.27 0.205 -13.79394 64.07201 + 499 | 47.06894 44.72562 1.05 0.293 -40.68236 134.8202 + 500 | 6.284708 7.853695 0.80 0.424 -9.124178 21.69359 + 501 | 11.50664 6.27381 1.83 0.067 -.8025244 23.81581 + 502 | 11.56083 4.476441 2.58 0.010 2.778084 20.34357 + 503 | 14.71914 3.905902 3.77 0.000 7.055792 22.38249 + 504 | 31.23322 11.27574 2.77 0.006 9.110318 53.35613 + 505 | 14.83106 5.371419 2.76 0.006 4.292383 25.36974 + 506 | 31.70818 8.25075 3.84 0.000 15.52027 47.89608 + 508 | 14.86265 6.613445 2.25 0.025 1.887126 27.83818 + 529 | 10.28047 4.191641 2.45 0.014 2.056509 18.50444 + 530 | 13.19544 3.141223 4.20 0.000 7.03239 19.3585 + 599 | 5.382839 5.520895 0.97 0.330 -5.449113 16.21479 + 600 | 9.18739 3.534409 2.60 0.009 2.252909 16.12187 + 601 | 9.071944 3.380571 2.68 0.007 2.439291 15.7046 + 602 | 17.19368 3.693588 4.66 0.000 9.946886 24.44046 + 603 | 17.89836 5.035064 3.55 0.000 8.019605 27.77711 + 604 | 4.168479 4.344786 0.96 0.338 -4.355955 12.69291 + 606 | 30.15453 10.52738 2.86 0.004 9.4999 50.80917 + 607 | 17.72956 5.920853 2.99 0.003 6.112892 29.34622 + 609 | -1.081092 3.062613 -0.35 0.724 -7.089915 4.927731 + 698 | 1.051688 3.3852 0.31 0.756 -5.590048 7.693424 + 699 | 18.40781 9.096832 2.02 0.043 .5599 36.25572 + 700 | 11.94665 3.662688 3.26 0.001 4.760484 19.13281 + 701 | 12.30534 3.999632 3.08 0.002 4.458095 20.15259 + 703 | 10.10248 4.069435 2.48 0.013 2.118283 18.08668 + 704 | 6.817128 3.645528 1.87 0.062 -.335368 13.96962 + 705 | 15.35537 4.975296 3.09 0.002 5.593877 25.11686 + 707 | 22.31 6.02638 3.70 0.000 10.48629 34.13371 + 708 | 12.13922 4.900565 2.48 0.013 2.52435 21.75409 + 709 | 43.7277 18.67828 2.34 0.019 7.081073 80.37433 + 710 | 17.41378 4.103214 4.24 0.000 9.363303 25.46425 + 711 | 17.01632 5.956692 2.86 0.004 5.329336 28.7033 + 798 | 6.613581 4.748235 1.39 0.164 -2.702417 15.92958 + 799 | 9.614138 4.060121 2.37 0.018 1.648214 17.58006 + 800 | 4.175886 3.675923 1.14 0.256 -3.036245 11.38802 + 801 | 3.012244 3.62413 0.83 0.406 -4.098269 10.12276 + 802 | 9.769561 4.212464 2.32 0.021 1.504741 18.03438 + 803 | 3.627313 2.991189 1.21 0.226 -2.241377 9.496002 + 805 | 10.28373 4.879262 2.11 0.035 .7106593 19.8568 + 806 | 12.51182 3.869606 3.23 0.001 4.919679 20.10395 + 807 | 10.52054 4.231583 2.49 0.013 2.218211 18.82287 + 898 | 11.85972 10.37969 1.14 0.253 -8.505134 32.22458 + 899 | 2.492509 5.50761 0.45 0.651 -8.313377 13.2984 + 1000 | 7.584651 3.574257 2.12 0.034 .5719871 14.59732 + 1001 | 5.496069 3.438214 1.60 0.110 -1.249678 12.24182 + 1002 | 6.491253 3.143961 2.06 0.039 .3228258 12.65968 + 1003 | 13.04033 3.67457 3.55 0.000 5.830854 20.24981 + 1005 | 23.11047 8.615044 2.68 0.007 6.207821 40.01311 + 1006 | 4.229468 2.698664 1.57 0.117 -1.06529 9.524225 + 1007 | 5.434426 3.100813 1.75 0.080 -.6493432 11.5182 + 1010 | 9.738147 4.018737 2.42 0.016 1.853418 17.62288 + 1098 | 5.320623 4.125759 1.29 0.197 -2.774083 13.41533 + 1099 | 5.108472 3.121904 1.64 0.102 -1.016678 11.23362 + 1200 | 25.06911 8.84418 2.83 0.005 7.716896 42.42132 + 1201 | 10.07945 5.166558 1.95 0.051 -.0572982 20.21619 + 1202 | 16.81757 7.16648 2.35 0.019 2.756995 30.87815 + 1203 | 6.500489 3.420633 1.90 0.058 -.2107648 13.21174 + 1204 | 10.83739 3.974308 2.73 0.006 3.039829 18.63495 + 1205 | 10.31509 4.394757 2.35 0.019 1.692616 18.93757 + 1206 | 13.35065 5.775738 2.31 0.021 2.018697 24.6826 + 1207 | 4.501486 3.839758 1.17 0.241 -3.032087 12.03506 + 1208 | 12.8797 3.135848 4.11 0.000 6.727193 19.03221 + 1209 | 14.03797 4.686991 3.00 0.003 4.842133 23.23381 + 1210 | 8.824351 3.094601 2.85 0.004 2.752769 14.89593 + 1211 | 8.576013 3.334546 2.57 0.010 2.03366 15.11837 + 1299 | 22.00508 7.694409 2.86 0.004 6.908707 37.10144 + 1300 | 11.34516 6.655128 1.70 0.089 -1.71215 24.40247 + 1301 | 23.93641 12.93457 1.85 0.064 -1.441105 49.31393 + 1302 | 2.299537 2.979305 0.77 0.440 -3.545835 8.144909 + 1303 | 14.54804 3.781122 3.85 0.000 7.129507 21.96657 + 1304 | 39.00387 15.11703 2.58 0.010 9.344389 68.66336 + 1305 | 17.12191 9.223335 1.86 0.064 -.9741982 35.21802 + 1399 | 8.48337 6.599752 1.29 0.199 -4.46529 21.43203 + 1400 | 21.17404 9.567053 2.21 0.027 2.403557 39.94452 + 1401 | 12.49281 3.445319 3.63 0.000 5.733124 19.2525 + 1403 | 7.179457 2.919842 2.46 0.014 1.45075 12.90816 + 1404 | 2.525106 3.123086 0.81 0.419 -3.602364 8.652576 + 1405 | 4.660446 4.480331 1.04 0.298 -4.129928 13.45082 + 1406 | 18.91074 6.364512 2.97 0.003 6.423617 31.39786 + 1407 | 11.18225 4.628228 2.42 0.016 2.101701 20.26279 + 1408 | 10.42633 4.252146 2.45 0.014 2.083653 18.76901 + 1409 | 27.15197 8.173137 3.32 0.001 11.11635 43.1876 + 1410 | 13.55996 5.760204 2.35 0.019 2.258483 24.86143 + 1499 | 1.909296 3.211741 0.59 0.552 -4.392114 8.210706 + 1500 | 29.13698 13.92329 2.09 0.037 1.819592 56.45436 + 1501 | 12.73781 4.34507 2.93 0.003 4.212824 21.26281 + 1502 | 17.18635 5.00689 3.43 0.001 7.362878 27.00983 + 1504 | 17.6143 6.076464 2.90 0.004 5.692328 29.53628 + 1505 | 12.53118 3.885232 3.23 0.001 4.908386 20.15397 + 1507 | .8780479 2.755941 0.32 0.750 -4.529085 6.285181 + 1520 | 25.66377 18.99671 1.35 0.177 -11.60763 62.93517 + 1521 | 4.82445 3.339133 1.44 0.149 -1.726902 11.3758 + 1522 | 11.69725 4.142786 2.82 0.005 3.569135 19.82536 + 1523 | 14.67177 3.407961 4.31 0.000 7.985376 21.35816 + 1524 | 74.8362 33.91816 2.21 0.028 8.289032 141.3834 + 1525 | 14.95779 3.848537 3.89 0.000 7.406991 22.50859 + 1526 | 3.590855 4.078018 0.88 0.379 -4.410182 11.59189 + 1599 | 18.23486 6.140558 2.97 0.003 6.187137 30.28259 + 1600 | 3.394405 4.189161 0.81 0.418 -4.824695 11.61351 + 1602 | 22.60883 16.0757 1.41 0.160 -8.931557 54.14922 + 1603 | 16.18486 5.68915 2.84 0.005 5.022798 27.34693 + 1604 | -4.645417 3.373033 -1.38 0.169 -11.26328 1.972446 + 1605 | 13.35308 5.596433 2.39 0.017 2.372926 24.33324 + 1606 | 1.378909 5.334656 0.26 0.796 -9.087643 11.84546 + 1608 | 11.01053 4.206559 2.62 0.009 2.7573 19.26377 + 1609 | 21.85139 4.867902 4.49 0.000 12.3006 31.40217 + 1610 | 8.10811 5.270302 1.54 0.124 -2.23218 18.4484 + 1611 | 1.861882 5.021201 0.37 0.711 -7.989673 11.71344 + 1612 | 9.569082 5.517557 1.73 0.083 -1.256321 20.39448 + 1614 | -.364939 5.821633 -0.06 0.950 -11.78693 11.05706 + 1615 | 14.64512 4.081842 3.59 0.000 6.636577 22.65366 + 1616 | 4.082288 4.247989 0.96 0.337 -4.252232 12.41681 + 1617 | -2.500304 4.409464 -0.57 0.571 -11.15164 6.151029 + 1619 | 5.144721 4.2674 1.21 0.228 -3.227884 13.51733 + 1620 | 9.616055 5.793421 1.66 0.097 -1.750591 20.9827 + 1698 | -.6255388 5.079765 -0.12 0.902 -10.592 9.340918 + 1699 | .9352665 4.815059 0.19 0.846 -8.51184 10.38237 + 1700 | 16.83277 6.87693 2.45 0.015 3.340293 30.32526 + 1701 | 13.18634 4.253838 3.10 0.002 4.840346 21.53234 + 1704 | 23.25194 15.48345 1.50 0.133 -7.126464 53.63034 + 1705 | 7.738396 15.31023 0.51 0.613 -22.30016 37.77695 + 1706 | 5.363497 3.373642 1.59 0.112 -1.255562 11.98256 + 1707 | 13.47997 4.317269 3.12 0.002 5.009526 21.95042 + 1708 | 13.83261 5.139465 2.69 0.007 3.749022 23.9162 + 1709 | 4.163879 5.049995 0.82 0.410 -5.744169 14.07193 + 1798 | 18.95151 14.41721 1.31 0.189 -9.334944 47.23796 + 1799 | 12.38652 10.14099 1.22 0.222 -7.510026 32.28307 + 1800 | 10.23704 4.531267 2.26 0.024 1.346733 19.12735 + 1802 | 12.68685 3.570529 3.55 0.000 5.6815 19.6922 + 1803 | 16.7843 5.448106 3.08 0.002 6.09516 27.47344 + 1804 | 7.649735 3.330456 2.30 0.022 1.115407 14.18406 + 1806 | 12.64562 6.372831 1.98 0.047 .142178 25.14906 + 1807 | 2.204224 2.537704 0.87 0.385 -2.77473 7.183178 + 1808 | 22.19099 6.582255 3.37 0.001 9.276655 35.10532 + 1899 | 69.03015 3.224536 21.41 0.000 62.70363 75.35666 + 1900 | 19.4789 5.492929 3.55 0.000 8.701819 30.25598 + 1901 | 20.12331 5.498262 3.66 0.000 9.335767 30.91086 + 1902 | 18.55885 6.349603 2.92 0.004 6.10098 31.01672 + 1905 | 43.14983 14.21797 3.03 0.002 15.25429 71.04537 + 1906 | 28.73333 16.83382 1.71 0.088 -4.294492 61.76115 + 1907 | 13.09089 5.639099 2.32 0.020 2.027023 24.15476 + 1908 | 10.93609 6.664288 1.64 0.101 -2.13919 24.01137 + 1909 | 2.127123 5.124183 0.42 0.678 -7.926483 12.18073 + 1910 | 16.22193 7.634345 2.12 0.034 1.243407 31.20045 + 1911 | 24.89734 9.827671 2.53 0.011 5.61553 44.17915 + 1912 | 2.252943 4.455545 0.51 0.613 -6.4888 10.99469 + 1914 | 31.98419 12.10277 2.64 0.008 8.238643 55.72974 + 1919 | 4.004489 3.557763 1.13 0.261 -2.975812 10.98479 + 1920 | 34.73223 19.73399 1.76 0.079 -3.985696 73.45016 + 1925 | 21.85268 5.926181 3.69 0.000 10.22556 33.4798 + 1926 | 19.94815 6.396293 3.12 0.002 7.398674 32.49763 + 1927 | 19.18886 7.243547 2.65 0.008 4.977077 33.40064 + 1929 | 13.75398 4.764286 2.89 0.004 4.40649 23.10147 + 1999 | 74.07896 2.820562 26.26 0.000 68.54504 79.61288 + 2000 | 9.6441 4.981322 1.94 0.053 -.1292135 19.41741 + 2001 | 11.83506 6.669024 1.77 0.076 -1.249516 24.91963 + 2002 | 15.82299 5.76611 2.74 0.006 4.50993 27.13605 + 2003 | 48.14168 12.76194 3.77 0.000 23.10286 73.18049 + 2004 | 18.46743 4.276118 4.32 0.000 10.07772 26.85714 + 2005 | -1.098227 10.28906 -0.11 0.915 -21.28528 19.08882 + 2006 | 94.30603 12.16655 7.75 0.000 70.43536 118.1767 + 2007 | 5.783999 5.700333 1.01 0.310 -5.400009 16.96801 + 2008 | 11.79866 2.671474 4.42 0.000 6.557246 17.04007 + 2009 | 26.97911 13.79285 1.96 0.051 -.0823578 54.04057 + 2011 | 10.02093 4.121239 2.43 0.015 1.935088 18.10676 + 2012 | 9.105663 4.448945 2.05 0.041 .3768696 17.83446 + 2013 | 15.38852 5.998041 2.57 0.010 3.620409 27.15662 + 2014 | 7.827839 6.4993 1.20 0.229 -4.923735 20.57941 + 2015 | 25.71652 9.174547 2.80 0.005 7.716133 43.71691 + 2030 | 26.6076 9.325925 2.85 0.004 8.310213 44.90499 + 2099 | 14.30335 10.18463 1.40 0.160 -5.678816 34.28552 + 2100 | 2.888685 2.817162 1.03 0.305 -2.638564 8.415934 + 2101 | 13.04602 3.059208 4.26 0.000 7.043876 19.04816 + 2102 | 5.667757 3.156111 1.80 0.073 -.5245075 11.86002 + 2103 | 11.68289 3.115703 3.75 0.000 5.569901 17.79587 + 2104 | 5.511221 2.800393 1.97 0.049 .0168728 11.00557 + 2105 | 12.28984 5.831552 2.11 0.035 .8483812 23.7313 + 9999 | 26.1937 14.50175 1.81 0.071 -2.258615 54.64601 + | + house_administration | 6.22656 4.836218 1.29 0.198 -3.26206 15.71518 + house_agriculture | 6.982402 6.203106 1.13 0.261 -5.188042 19.15285 + house_appropriations | .3766367 3.376782 0.11 0.911 -6.248583 7.001857 + house_armedservices | 9.404822 2.701079 3.48 0.001 4.105326 14.70432 + house_budget | -.049738 3.57582 -0.01 0.989 -7.065468 6.965992 + house_dc | -5.271395 6.158103 -0.86 0.392 -17.35354 6.810754 + house_educlabor | 5.695662 1.599064 3.56 0.000 2.558311 8.833012 + house_energycommerce | 4.828632 2.043237 2.36 0.018 .8198163 8.837447 + house_foreignaffairs | -.3941639 3.521801 -0.11 0.911 -7.303908 6.51558 + house_governmentop | 13.61911 4.65937 2.92 0.004 4.477465 22.76076 + house_intelligence | -3.271321 4.107623 -0.80 0.426 -11.33044 4.787802 + house_interior | -.0094878 2.751814 -0.00 0.997 -5.408524 5.389549 + house_judiciary | 3.679209 1.524359 2.41 0.016 .6884281 6.669989 + house_mmf | -2.437089 4.936183 -0.49 0.622 -12.12184 7.247662 + house_pocs | .6566443 3.557188 0.18 0.854 -6.322529 7.635818 + house_pwt | 3.750308 1.885716 1.99 0.047 .0505477 7.450067 + house_rules | 1.634011 2.690506 0.61 0.544 -3.644741 6.912763 + house_sst | 5.088401 3.48816 1.46 0.145 -1.755341 11.93214 + house_smallbusi | 1.922972 2.32014 0.83 0.407 -2.629123 6.475068 + house_soc | -20.53471 4.505876 -4.56 0.000 -29.3752 -11.69422 + house_veterans | 3.045089 2.531499 1.20 0.229 -1.921691 8.011869 + house_waysandmeans | 2.270572 1.254984 1.81 0.071 -.1916965 4.732841 +house_naturalresources | -2.894611 2.336928 -1.24 0.216 -7.479645 1.690424 + house_bfs | 2.532409 2.672708 0.95 0.344 -2.711422 7.77624 + house_eeo | 3.484637 3.0834 1.13 0.259 -2.564969 9.534243 + house_govreform | 3.281491 2.24046 1.46 0.143 -1.114273 7.677256 + house_ir | 1.029221 3.029973 0.34 0.734 -4.915562 6.974004 + house_natsecur | 15.75145 5.139517 3.06 0.002 5.667758 25.83514 + house_oversight | 7.096757 3.794496 1.87 0.062 -.3480135 14.54153 + house_resources | -2.211955 3.301324 -0.67 0.503 -8.689125 4.265215 + house_science | -1.462079 2.368093 -0.62 0.537 -6.108258 3.1841 + house_transp | .4772276 1.789959 0.27 0.790 -3.034657 3.989112 + house_homeland | -2.855344 2.469932 -1.16 0.248 -7.70133 1.990642 + _cons | -1.858779 2.785869 -0.67 0.505 -7.324632 3.607073 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,172 1 0 1 1 + + +j = 5 k = 3 + + +rdbwselect_2014 numb_cosponsors MV1_female_l1 if sponsor_party_l1==200 & tag_bill==1 & sponsor_female==0, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 3274 +----------------------+---------------------- NN matches = 3 + Number of obs | 3103 171 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of MV1_female_l1 | 78.154 29.857 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 8.129319 15.7685 .5155415 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female_l1)) +(46,792 missing values generated) +(60,990 missing values generated) +(12,497 real changes made) +reg numb_cosponsors sponsor_female_l1 i.v2 i.minor house_* [aw=wt] if sponsor_party_l1==200 & tag_bill==1 & sponsor_female==0, robust cluster(group_sponsor) +(sum of wgt is 8,231.77300822735) + +Linear regression Number of obs = 7,324 + F(252, 694) = . + Prob > F = . + R-squared = 0.1771 + Root MSE = 34.557 + + (Std. Err. adjusted for 695 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust + numb_cosponsors | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female_l1 | 3.155969 3.227393 0.98 0.328 -3.180656 9.492594 + | + v2 | + 103 | -1.457 2.454089 -0.59 0.553 -6.275328 3.361329 + 104 | 1.303786 2.358065 0.55 0.581 -3.326011 5.933584 + 105 | 3.513765 2.429049 1.45 0.148 -1.255401 8.28293 + 106 | 2.899973 2.42373 1.20 0.232 -1.858749 7.658694 + 108 | 3.5334 2.21177 1.60 0.111 -.8091634 7.875964 + 109 | 2.908052 2.242397 1.30 0.195 -1.494645 7.310748 + | + minor | + 101 | .8314429 5.757829 0.14 0.885 -10.47341 12.1363 + 104 | 11.27419 7.232948 1.56 0.120 -2.926892 25.47528 + 105 | 19.31821 5.760827 3.35 0.001 8.007469 30.62895 + 107 | 18.72013 5.062593 3.70 0.000 8.780299 28.65997 + 108 | 20.07948 11.92484 1.68 0.093 -3.333616 43.49258 + 200 | 12.43025 5.891494 2.11 0.035 .8629648 23.99754 + 202 | 56.40783 40.03582 1.41 0.159 -22.19803 135.0137 + 204 | 26.64301 5.011756 5.32 0.000 16.80298 36.48303 + 205 | 85.14232 39.64027 2.15 0.032 7.313077 162.9716 + 206 | 7.967963 8.791038 0.91 0.365 -9.292256 25.22818 + 207 | 28.97059 11.6199 2.49 0.013 6.156213 51.78498 + 208 | 10.61436 7.255052 1.46 0.144 -3.630122 24.85884 + 209 | -2.534229 4.85542 -0.52 0.602 -12.0673 6.998844 + 299 | 117.1166 31.69788 3.69 0.000 54.88137 179.3519 + 300 | 12.45151 10.0848 1.23 0.217 -7.348868 32.25188 + 301 | 10.73615 6.722744 1.60 0.111 -2.463201 23.93551 + 302 | 19.58786 5.901574 3.32 0.001 8.000777 31.17494 + 321 | 22.27812 7.987151 2.79 0.005 6.596241 37.96 + 322 | 13.99671 6.268223 2.23 0.026 1.689752 26.30366 + 323 | 12.96636 7.023656 1.85 0.065 -.8238051 26.75652 + 324 | 1.852004 9.078284 0.20 0.838 -15.97219 19.6762 + 325 | 16.59319 5.861409 2.83 0.005 5.084969 28.10141 + 331 | 26.38602 11.07128 2.38 0.017 4.648801 48.12323 + 332 | 19.14793 7.919723 2.42 0.016 3.598438 34.69742 + 333 | .6105755 5.692426 0.11 0.915 -10.56587 11.78702 + 334 | 16.4362 6.748119 2.44 0.015 3.187024 29.68538 + 335 | 32.77922 14.61501 2.24 0.025 4.084287 61.47416 + 336 | 24.72743 8.32455 2.97 0.003 8.383108 41.07175 + 341 | 15.35315 6.204844 2.47 0.014 3.170629 27.53566 + 342 | 25.18474 9.086273 2.77 0.006 7.344861 43.02462 + 343 | 3.520578 6.041802 0.58 0.560 -8.341824 15.38298 + 398 | 38.68408 10.89989 3.55 0.000 17.28338 60.08479 + 399 | 3.028635 5.662481 0.53 0.593 -8.089013 14.14628 + 400 | 8.028675 5.261597 1.53 0.127 -2.301882 18.35923 + 401 | 8.941251 6.388036 1.40 0.162 -3.600944 21.48344 + 402 | 12.76123 6.307593 2.02 0.043 .3769752 25.14548 + 403 | 36.89086 14.16631 2.60 0.009 9.076897 64.70482 + 404 | 19.6254 14.64193 1.34 0.181 -9.122394 48.37319 + 405 | 63.84798 35.68388 1.79 0.074 -6.21332 133.9093 + 498 | 4.68525 7.789967 0.60 0.548 -10.60948 19.97998 + 499 | 13.20594 7.729008 1.71 0.088 -1.969105 28.38098 + 500 | 58.18113 12.50343 4.65 0.000 33.63204 82.73022 + 501 | 19.53763 9.833272 1.99 0.047 .2311022 38.84416 + 502 | 4.90401 4.92135 1.00 0.319 -4.75851 14.56653 + 503 | 15.9283 6.060416 2.63 0.009 4.02935 27.82725 + 504 | 25.8527 7.402001 3.49 0.001 11.3197 40.3857 + 505 | 17.1099 6.328692 2.70 0.007 4.684219 29.53558 + 506 | 10.71765 6.508836 1.65 0.100 -2.061717 23.49702 + 508 | 13.28611 9.125565 1.46 0.146 -4.630914 31.20314 + 529 | 29.17312 13.37927 2.18 0.030 2.904413 55.44182 + 530 | 19.73735 6.057563 3.26 0.001 7.844006 31.6307 + 599 | 48.71882 15.37298 3.17 0.002 18.5357 78.90194 + 600 | 15.17042 8.879336 1.71 0.088 -2.263165 32.604 + 601 | 16.15661 5.918425 2.73 0.006 4.536448 27.77678 + 602 | 13.28864 5.186538 2.56 0.011 3.105457 23.47183 + 603 | 17.88608 8.220437 2.18 0.030 1.746176 34.02599 + 604 | .8767848 5.211428 0.17 0.866 -9.35527 11.10884 + 606 | 25.23592 13.60038 1.86 0.064 -1.466898 51.93874 + 607 | 11.24791 7.323766 1.54 0.125 -3.131483 25.62731 + 609 | 19.9231 7.693229 2.59 0.010 4.81831 35.0279 + 699 | 5.59598 6.261951 0.89 0.372 -6.69866 17.89062 + 700 | 14.69188 6.90376 2.13 0.034 1.137121 28.24664 + 701 | 5.979363 5.710318 1.05 0.295 -5.232208 17.19093 + 703 | 10.46603 5.661346 1.85 0.065 -.6493872 21.58145 + 704 | 10.99688 5.86025 1.88 0.061 -.5090696 22.50282 + 705 | 14.00087 6.92109 2.02 0.043 .4120809 27.58965 + 707 | 25.81102 14.16847 1.82 0.069 -2.00719 53.62922 + 708 | 15.06751 9.669218 1.56 0.120 -3.91692 34.05193 + 709 | 18.93404 6.029131 3.14 0.002 7.096511 30.77156 + 710 | 10.02917 5.312294 1.89 0.059 -.4009291 20.45926 + 711 | 7.501595 5.107462 1.47 0.142 -2.526336 17.52953 + 798 | 25.36374 11.18006 2.27 0.024 3.412948 47.31453 + 799 | 10.61803 7.450519 1.43 0.155 -4.010227 25.2463 + 800 | 14.01648 7.87584 1.78 0.076 -1.446855 29.47981 + 801 | 8.449618 8.237168 1.03 0.305 -7.723139 24.62238 + 802 | 2.974635 5.678844 0.52 0.601 -8.17514 14.12441 + 803 | 12.57407 5.36372 2.34 0.019 2.043002 23.10513 + 805 | 1.653024 4.296307 0.38 0.701 -6.782295 10.08834 + 806 | 8.725686 5.310858 1.64 0.101 -1.701589 19.15296 + 807 | 11.21255 9.425186 1.19 0.235 -7.292746 29.71785 + 898 | 1.916199 6.010194 0.32 0.750 -9.884145 13.71654 + 899 | 3.130241 6.694484 0.47 0.640 -10.01363 16.27411 + 1000 | 3.043622 5.133543 0.59 0.553 -7.035515 13.12276 + 1001 | 5.88142 5.110711 1.15 0.250 -4.152889 15.91573 + 1002 | 16.58301 7.675057 2.16 0.031 1.513895 31.65212 + 1003 | 17.30065 6.988942 2.48 0.014 3.578644 31.02265 + 1005 | 1.964475 4.802461 0.41 0.683 -7.464619 11.39357 + 1006 | 12.55003 5.548498 2.26 0.024 1.65617 23.44388 + 1007 | 2.921807 5.149727 0.57 0.571 -7.189105 13.03272 + 1010 | 3.914307 5.060275 0.77 0.439 -6.020977 13.84959 + 1098 | -4.873382 8.595071 -0.57 0.571 -21.74884 12.00208 + 1099 | 5.335943 9.511566 0.56 0.575 -13.33895 24.01084 + 1200 | 35.48418 15.9238 2.23 0.026 4.219581 66.74877 + 1201 | 9.06147 5.536848 1.64 0.102 -1.809512 19.93245 + 1202 | 9.790184 7.537573 1.30 0.194 -5.008998 24.58936 + 1203 | 20.09608 7.248893 2.77 0.006 5.863687 34.32847 + 1204 | 14.37156 7.110062 2.02 0.044 .4117447 28.33137 + 1205 | 23.1799 9.850188 2.35 0.019 3.840156 42.51964 + 1206 | 6.568966 6.559891 1.00 0.317 -6.310645 19.44858 + 1207 | 20.85853 10.00278 2.09 0.037 1.21918 40.49788 + 1208 | 19.59801 7.235788 2.71 0.007 5.391354 33.80467 + 1209 | 40.44218 8.037138 5.03 0.000 24.66216 56.2222 + 1210 | 24.82743 10.5426 2.35 0.019 4.128216 45.52664 + 1211 | 10.39431 6.589226 1.58 0.115 -2.5429 23.33152 + 1299 | 22.7149 18.47187 1.23 0.219 -13.55255 58.98236 + 1300 | 13.25077 10.51337 1.26 0.208 -7.391052 33.89259 + 1301 | 25.10327 16.11274 1.56 0.120 -6.532299 56.73884 + 1302 | 10.33325 5.965786 1.73 0.084 -1.379905 22.0464 + 1303 | 16.48615 6.08334 2.71 0.007 4.542194 28.43011 + 1304 | 19.93583 7.262034 2.75 0.006 5.67764 34.19402 + 1305 | 16.09443 8.162118 1.97 0.049 .0690256 32.11984 + 1399 | 1.102114 4.677248 0.24 0.814 -8.081139 10.28537 + 1400 | 13.8953 7.984548 1.74 0.082 -1.781466 29.57207 + 1401 | 12.10289 8.165164 1.48 0.139 -3.928492 28.13428 + 1403 | -2.067725 6.24898 -0.33 0.741 -14.3369 10.20145 + 1404 | 1.228641 5.097448 0.24 0.810 -8.779627 11.23691 + 1405 | 6.152454 5.474324 1.12 0.261 -4.59577 16.90068 + 1406 | 22.33489 8.507466 2.63 0.009 5.631437 39.03835 + 1407 | 13.5432 6.522031 2.08 0.038 .7379171 26.34847 + 1408 | 6.362537 9.461821 0.67 0.502 -12.21469 24.93976 + 1409 | 14.88636 7.832764 1.90 0.058 -.4923982 30.26511 + 1410 | 19.43152 13.99783 1.39 0.166 -8.051645 46.91468 + 1499 | -1.744884 4.752339 -0.37 0.714 -11.07557 7.585802 + 1500 | 10.50208 8.672565 1.21 0.226 -6.525534 27.52969 + 1501 | 15.6315 7.447582 2.10 0.036 1.009001 30.25399 + 1502 | 5.054563 5.226043 0.97 0.334 -5.206188 15.31531 + 1504 | 37.86179 13.25604 2.86 0.004 11.83503 63.88854 + 1505 | 7.038531 5.597297 1.26 0.209 -3.951136 18.0282 + 1507 | 3.036295 4.869356 0.62 0.533 -6.52414 12.59673 + 1520 | 4.339343 7.760827 0.56 0.576 -10.89817 19.57686 + 1521 | 21.67237 6.178644 3.51 0.000 9.541296 33.80345 + 1522 | 7.04206 5.942693 1.18 0.236 -4.625752 18.70987 + 1523 | 21.04215 10.39903 2.02 0.043 .6248218 41.45947 + 1524 | 19.77311 4.929701 4.01 0.000 10.0942 29.45203 + 1525 | 13.07273 7.701564 1.70 0.090 -2.048429 28.19389 + 1526 | 6.850593 5.33247 1.28 0.199 -3.619116 17.3203 + 1599 | 12.69776 6.723786 1.89 0.059 -.5036463 25.89916 + 1600 | 12.196 6.038946 2.02 0.044 .3392098 24.0528 + 1602 | 24.42191 18.68833 1.31 0.192 -12.27053 61.11435 + 1603 | 24.38586 11.58709 2.10 0.036 1.635908 47.13581 + 1604 | -2.638829 6.914877 -0.38 0.703 -16.21542 10.93776 + 1605 | 20.91178 8.091591 2.58 0.010 5.024844 36.79871 + 1606 | 22.74658 13.7993 1.65 0.100 -4.346801 49.83997 + 1608 | 34.8619 10.00803 3.48 0.001 15.21226 54.51154 + 1609 | 31.90971 7.389417 4.32 0.000 17.40142 46.41801 + 1610 | 30.78155 15.48421 1.99 0.047 .3800448 61.18305 + 1611 | 4.568083 5.594706 0.82 0.414 -6.416496 15.55266 + 1612 | 9.767529 5.956178 1.64 0.101 -1.926761 21.46182 + 1614 | 3.664146 6.496578 0.56 0.573 -9.091158 16.41945 + 1615 | 10.44692 6.223797 1.68 0.094 -1.77281 22.66665 + 1616 | 6.277443 5.416089 1.16 0.247 -4.356442 16.91133 + 1617 | 20.15771 11.54234 1.75 0.081 -2.504394 42.81981 + 1619 | 10.26209 6.574378 1.56 0.119 -2.645968 23.17014 + 1620 | 2.631391 5.525832 0.48 0.634 -8.217963 13.48074 + 1698 | -2.47021 5.259683 -0.47 0.639 -12.79701 7.85659 + 1699 | 25.65052 15.72375 1.63 0.103 -5.221308 56.52235 + 1700 | 2.374598 5.093407 0.47 0.641 -7.625737 12.37493 + 1701 | 5.83661 6.351301 0.92 0.358 -6.633458 18.30668 + 1704 | 14.10472 6.511758 2.17 0.031 1.319609 26.88982 + 1705 | -.5717884 4.469989 -0.13 0.898 -9.348111 8.204535 + 1706 | 23.83208 9.632662 2.47 0.014 4.919427 42.74473 + 1707 | 25.25715 10.48462 2.41 0.016 4.671775 45.84253 + 1708 | 6.241333 5.418753 1.15 0.250 -4.397781 16.88045 + 1709 | 6.598267 5.323166 1.24 0.216 -3.853174 17.04971 + 1798 | 7.686349 6.662831 1.15 0.249 -5.395375 20.76807 + 1799 | 9.336379 5.996945 1.56 0.120 -2.437952 21.11071 + 1800 | 6.268091 5.643551 1.11 0.267 -4.81239 17.34857 + 1802 | 8.141959 4.945316 1.65 0.100 -1.567616 17.85153 + 1803 | -2.51975 4.682744 -0.54 0.591 -11.71379 6.674294 + 1804 | 6.743825 6.615091 1.02 0.308 -6.244165 19.73182 + 1806 | -.3119508 5.772972 -0.05 0.957 -11.64654 11.02263 + 1807 | 2.489751 4.761749 0.52 0.601 -6.859409 11.83891 + 1808 | -1.495563 6.450495 -0.23 0.817 -14.16039 11.16926 + 1899 | 20.38838 20.51213 0.99 0.321 -19.8849 60.66166 + 1900 | 3.600227 5.22448 0.69 0.491 -6.657455 13.85791 + 1901 | 20.24069 7.467206 2.71 0.007 5.579669 34.90172 + 1902 | 22.62988 10.48488 2.16 0.031 2.043987 43.21578 + 1905 | 10.65392 8.232496 1.29 0.196 -5.509667 26.8175 + 1906 | 13.86152 9.175242 1.51 0.131 -4.153042 31.87608 + 1907 | 3.85103 5.502185 0.70 0.484 -6.951895 14.65395 + 1908 | 56.4725 38.87978 1.45 0.147 -19.8636 132.8086 + 1909 | 5.394891 8.306999 0.65 0.516 -10.91497 21.70476 + 1910 | 10.63332 9.859954 1.08 0.281 -8.7256 29.99223 + 1911 | 4.754958 6.053884 0.79 0.432 -7.131166 16.64108 + 1912 | .4534508 5.381897 0.08 0.933 -10.1133 11.0202 + 1914 | 12.19404 9.78204 1.25 0.213 -7.011897 31.39998 + 1915 | 2.345879 6.287363 0.37 0.709 -9.998656 14.69041 + 1919 | 12.94498 7.339417 1.76 0.078 -1.465148 27.3551 + 1920 | 17.01413 9.366561 1.82 0.070 -1.376069 35.40432 + 1925 | 30.1715 8.809142 3.43 0.001 12.87574 47.46727 + 1926 | 12.74246 6.579187 1.94 0.053 -.1750407 25.65995 + 1927 | 21.62227 9.65025 2.24 0.025 2.67508 40.56945 + 1929 | 37.50377 13.33607 2.81 0.005 11.31989 63.68764 + 1999 | 9.47451 5.225359 1.81 0.070 -.7848976 19.73392 + 2000 | 11.45297 5.327957 2.15 0.032 .9921205 21.91382 + 2001 | 19.46302 6.918873 2.81 0.005 5.878584 33.04745 + 2002 | 11.97126 5.377896 2.23 0.026 1.412367 22.53016 + 2003 | 16.90227 7.309041 2.31 0.021 2.551787 31.25276 + 2004 | 10.2722 5.146799 2.00 0.046 .1670376 20.37737 + 2005 | 5.470031 6.93667 0.79 0.431 -8.149344 19.08941 + 2006 | 117.335 25.35678 4.63 0.000 67.54981 167.1202 + 2007 | 20.42509 10.70089 1.91 0.057 -.5849137 41.43509 + 2008 | 12.54038 4.926913 2.55 0.011 2.866938 22.21382 + 2009 | 17.38199 8.473876 2.05 0.041 .7444818 34.0195 + 2011 | 15.77203 5.931048 2.66 0.008 4.127081 27.41698 + 2012 | 12.69313 7.167281 1.77 0.077 -1.379028 26.76528 + 2013 | 2.88575 5.191089 0.56 0.578 -7.306373 13.07787 + 2014 | 7.80115 5.061452 1.54 0.124 -2.136444 17.73874 + 2015 | -1.265806 5.50566 -0.23 0.818 -12.07555 9.543943 + 2030 | 10.93514 6.666656 1.64 0.101 -2.154094 24.02437 + 2099 | 38.82956 24.94104 1.56 0.120 -10.13938 87.79849 + 2100 | 6.125784 5.072588 1.21 0.228 -3.833675 16.08524 + 2101 | 8.96457 4.787937 1.87 0.062 -.436008 18.36515 + 2102 | 7.951752 5.545164 1.43 0.152 -2.935556 18.83906 + 2103 | 6.299035 4.959132 1.27 0.204 -3.437665 16.03574 + 2104 | 5.05646 4.649674 1.09 0.277 -4.072654 14.18557 + 2105 | 34.80996 25.90775 1.34 0.180 -16.05702 85.67693 + 2199 | -2.033569 5.191443 -0.39 0.695 -12.22639 8.159248 + 9999 | 12.86289 15.97356 0.81 0.421 -18.49941 44.22519 + | + house_administration | 8.353701 6.143068 1.36 0.174 -3.707526 20.41493 + house_agriculture | 5.425596 3.940621 1.38 0.169 -2.311372 13.16256 + house_appropriations | -6.975381 2.909555 -2.40 0.017 -12.68797 -1.262795 + house_armedservices | 4.057927 3.67978 1.10 0.271 -3.166909 11.28276 + house_budget | .9996136 4.407032 0.23 0.821 -7.653101 9.652328 + house_dc | -6.708874 6.524911 -1.03 0.304 -19.51981 6.102059 + house_educlabor | 1.726759 2.912566 0.59 0.553 -3.991738 7.445257 + house_energycommerce | 6.262279 2.173906 2.88 0.004 1.994059 10.5305 + house_foreignaffairs | 4.96872 3.764714 1.32 0.187 -2.422875 12.36032 + house_governmentop | -.2440512 4.545848 -0.05 0.957 -9.169315 8.681213 + house_intelligence | -16.83192 8.787738 -1.92 0.056 -34.08566 .4218159 + house_interior | 1.005408 2.912909 0.35 0.730 -4.713764 6.72458 + house_judiciary | 3.129694 1.728875 1.81 0.071 -.2647593 6.524147 + house_mmf | 3.305752 3.857318 0.86 0.392 -4.26766 10.87916 + house_pocs | .5289797 3.99167 0.13 0.895 -7.308218 8.366177 + house_pwt | 3.050066 3.459402 0.88 0.378 -3.742084 9.842216 + house_rules | 7.664954 3.600017 2.13 0.034 .5967228 14.73319 + house_sst | 13.70581 8.159508 1.68 0.093 -2.314472 29.72609 + house_smallbusi | -11.03802 3.795726 -2.91 0.004 -18.49051 -3.585539 + house_soc | -19.76522 13.63937 -1.45 0.148 -46.54461 7.014158 + house_veterans | -3.953587 3.804765 -1.04 0.299 -11.42382 3.516644 + house_waysandmeans | 1.992746 2.053375 0.97 0.332 -2.038827 6.024319 +house_naturalresources | -2.944204 4.348069 -0.68 0.499 -11.48115 5.592742 + house_bfs | 3.485315 4.655621 0.75 0.454 -5.655477 12.62611 + house_eeo | 4.507483 6.995115 0.64 0.520 -9.226643 18.24161 + house_govreform | 1.197003 2.275113 0.53 0.599 -3.269927 5.663933 + house_ir | 3.035342 2.791334 1.09 0.277 -2.44513 8.515814 + house_natsecur | 9.619686 6.215301 1.55 0.122 -2.583362 21.82273 + house_oversight | .0969319 4.912596 0.02 0.984 -9.5484 9.742264 + house_resources | -2.082632 2.368565 -0.88 0.380 -6.733044 2.56778 + house_science | -.929838 3.571103 -0.26 0.795 -7.941298 6.081623 + house_transp | 2.449683 2.867836 0.85 0.393 -3.180992 8.080357 + house_homeland | -1.413669 3.449139 -0.41 0.682 -8.185667 5.358329 + _cons | -3.503517 4.792527 -0.73 0.465 -12.91311 5.906073 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 695 1 0 1 1 + +. +. preserve + +. +. * Display results +. +. forvalues i = 1/5 { + 2. gen var`i' =. + 3. } +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) + +. gen str20 var6 = "" +(62,349 missing values generated) + +. +. forvalues j=1/5 { + 2. forvalues k = 1/3 { + 3. replace var`j' = b_col`j'_row`k' if _n==6*(`k'-1)+1 + 4. replace var`j' = se_col`j'_row`k' if _n==6*(`k'-1)+2 + 5. replace var`j' = n_col`j'_row`k' if _n==6*(`k'-1)+3 + 6. replace var`j' = ni_col`j'_row`k' if _n==6*(`k'-1)+4 + 7. replace var`j' = ob_col`j'_row`k' if _n==6*(`k'-1)+5 + 8. } + 9. } +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) + +. +. keep var1-var6 + +. keep if _n<=18 +(62,331 observations deleted) + +. +. order var6 var1-var5 + +. +. ren var6 sampletype + +. ren var1 OLS_all + +. ren var2 RD_bwidth + +. ren var3 RD_match_bw + +. ren var4 PS_match + +. ren var5 PS_match_indiv + +. +. foreach var of varlist OLS_all RD_bwidth RD_match_bw PS_match PS_match_indiv { + 2. gen str3 `var'_stars ="*" if abs(`var'/`var'[_n+1])>=1.645 & mod(_n,6)==1 + 3. replace `var'_stars ="**" if abs(`var'/`var'[_n+1])>=1.96 & mod(_n,6)==1 + 4. replace `var'_stars="***" if abs(`var'/`var'[_n+1])>=2.58 & mod(_n,6)==1 + 5. } +(18 missing values generated) +(0 real changes made) +(0 real changes made) +(18 missing values generated) +(0 real changes made) +(0 real changes made) +(17 missing values generated) +(0 real changes made) +(0 real changes made) +(17 missing values generated) +(0 real changes made) +(0 real changes made) +(17 missing values generated) +(1 real change made) +(0 real changes made) + +. +. replace sampletype = "All" if _n>=1 & _n<=5 +(5 real changes made) + +. replace sampletype = "Democrats" if _n>=7 & _n<=11 +(5 real changes made) + +. replace sampletype = "Republicans" if _n>=13 & _n<=17 +(5 real changes made) + +. +. order sampletype OLS_all OLS_all_stars RD_bwidth RD_bwidth_stars RD_match_bw RD_match_bw_stars PS_match PS_match_stars PS_match_indiv PS_match_indiv_stars + +. export excel using "$Output/TableD2_Placebo_Cosponsors", firstrow(var) replace +file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/TableD2_Placebo_Cosponsors.xls saved + +. +. restore + +. +. +. ********************************************************************************************************************************************* +. +. +. * use "$Data/bills_analysis_101-111_clean.dta", clear +. use "$AnalysisData/bills_analysis_101-111_replication.dta", clear +(Bill-level data set. Each observation is an individual bill.) + +. keep if private==0 +(1,546 observations deleted) + +. +. bysort v2 sponsor_state_abbrev sponsor_district sponsor_term_served: egen tot_bills=count(v2) + +. +. gen byte sponsor_democrat = sponsor_party==100 if sponsor_party~=. +(1,036 missing values generated) + +. +. gen byte NE = sponsor_state_icpsr>=1 & sponsor_state_icpsr<=14 if sponsor_state_icpsr~=. +(1,015 missing values generated) + +. gen byte MW = sponsor_state_icpsr>=21 & sponsor_state_icpsr<=37 if sponsor_state_icpsr~=. +(1,015 missing values generated) + +. gen byte SO = sponsor_state_icpsr>=40 & sponsor_state_icpsr<=56 if sponsor_state_icpsr~=. +(1,015 missing values generated) + +. gen byte WE = sponsor_state_icpsr>=61 & sponsor_state_icpsr<=82 if sponsor_state_icpsr~=. +(1,015 missing values generated) + +. +. replace sponsor_age=. if sponsor_age>100 +(0 real changes made) + +. gen sponsor_rookie=(sponsor_tenure_run==1) if sponsor_tenure_run!=. +(1,015 missing values generated) + +. gen byte leader = (comc==1) | (comr==1) if comc~=. & comr~=. +(1,015 missing values generated) + +. +. gen lnpden=lnpop-lnarea +(1,015 missing values generated) + +. gen absMV=abs(MV1_democrat) +(6,677 missing values generated) + +. +. egen tag_congressmen=tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) + +. egen group_congressmen = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +(1,015 missing values generated) + +. *egen tag_sponsor = tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +. sort v2 sponsor_state_abbrev sponsor_district sponsor_term_served HRnumber + +. bysort v2 sponsor_state_abbrev sponsor_district sponsor_term_served: gen tag_sponsor=_n + +. egen group_sponsor = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) +(1,015 missing values generated) + +. +. cap drop pct_cosponsors_opposite + +. gen pct_cosponsors_opposite=100*numb_cosponsors_opposite/(numb_cosponsors+1) +(1,015 missing values generated) + +. replace pct_cosponsors_opposite=. if pct_cosponsors_opposite>100 +(3 real changes made, 3 to missing) + +. +. compress + variable tot_bills was float now int + variable sponsor_rookie was float now byte + variable group_congressmen was float now int + variable tag_sponsor was float now int + variable group_sponsor was float now int + (685,839 bytes saved) + +. +. *egen tag_bill = tag(v2 HRnumber) +. sort v2 HRnumber + +. bysort v2 HRnumber: gen tag_bill=_n + +. +. gen int decade = 1980 if v2<=102 +(50,563 missing values generated) + +. replace decade=1990 if v2>=103 & v2<=107 +(25,238 real changes made) + +. replace decade=2000 if v2>=108 +(25,325 real changes made) + +. +. egen district_id = group(decade sponsor_state_abbrev sponsor_district) +(1,015 missing values generated) + +. +. /* Deletion, Daniele 2021-03-12 +> gen MVprim_female2=MVprim_female^2 +> gen MVprim_female3=MVprim_female^3 +> gen femaleXMVprim_female=sponsor_female*MVprim_female +> gen femaleXMVprim_female2=sponsor_female*MVprim_female2 +> gen femaleXMVprim_female3=sponsor_female*MVprim_female3 +> gen safe=MV1_democrat>=0.2 & sponsor_party==100 | MV1_democrat<=-0.2 & sponsor_party==200 if MV1_democrat!=. +> */ +. +. +. bysort district_id v2: gen counter=_n + +. foreach var of varlist tot_bills sponsor_female MV1_female MV1_democrat mixed_gender_ele /* +> */ sponsor_party sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age /* +> */ leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate { + 2. sort counter district_id v2 + 3. bysort counter district_id: gen X=`var'[_n+1] if counter==1 & `var'[_n+1]!=. + 4. bysort district_id v2: egen `var'_l1=max(X) + 5. drop X + 6. } +(58,909 missing values generated) +(18,061 missing values generated) +(58,919 missing values generated) +(18,935 missing values generated) +(61,684 missing values generated) +(53,400 missing values generated) +(59,243 missing values generated) +(23,391 missing values generated) +(59,565 missing values generated) +(26,761 missing values generated) +(58,921 missing values generated) +(18,974 missing values generated) +(58,921 missing values generated) +(18,974 missing values generated) +(58,919 missing values generated) +(18,935 missing values generated) +(58,919 missing values generated) +(18,935 missing values generated) +(58,922 missing values generated) +(18,982 missing values generated) +(58,919 missing values generated) +(18,935 missing values generated) +(58,947 missing values generated) +(19,352 missing values generated) +(58,919 missing values generated) +(18,935 missing values generated) +(58,945 missing values generated) +(19,366 missing values generated) +(58,945 missing values generated) +(19,366 missing values generated) +(58,945 missing values generated) +(19,366 missing values generated) +(58,945 missing values generated) +(19,366 missing values generated) +(58,945 missing values generated) +(19,366 missing values generated) +(58,933 missing values generated) +(19,162 missing values generated) + +. +. gen female_l1XMV1_female_l1=MV1_female_l1*sponsor_female_l1 +(53,400 missing values generated) + +. gen absMV_l1=abs(MV1_democrat_l1) +(23,391 missing values generated) + +. +. local controls1 = "i.v2 " + +. local controls2 = "i.v2 MV1_female_l1 female_l1XMV1_female_l1 " + +. local controls3 = "i.v2 MV1_female_l1 female_l1XMV1_female_l1 " + +. local controls4 = "i.v2 " + +. local controls5 = "i.v2 " + +. +. local other_controls = "i.minor house_* sponsor_democrat_l1 sponsor_rookie_l1 sponsor_tenure_run_l1 sponsor_age_l1 leader_l1 ivycoll_l1 black_l1 occ0_l1 occ1_l1 oc +> c2_l1 occ3_l1 occ4_l1 borninstate_l1 tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden" + +. local billchars = "i.minor house_*" + +. local indivchars = "sponsor_democrat_l1 sponsor_rookie_l1 sponsor_tenure_run_l1 sponsor_age_l1 leader_l1 ivycoll_l1 black_l1 occ0_l1 occ1_l1 occ2_l1 occ3_l1 occ4_l +> 1 borninstate_l1 tot_bills" + +. local districtchars = "NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden" + +. +. local if1 = "if tag_bill==1 & sponsor_female==0" + +. local if2 = "if sponsor_party_l1==100 & tag_bill==1 & sponsor_female==0" + +. local if3 = "if sponsor_party_l1==200 & tag_bill==1 & sponsor_female==0" + +. +. forvalues j=1/5 { + 2. forvalues k = 1/3 { + 3. qui reg pct_cosponsors_opposite sponsor_female_l1 `controls2' `other_controls' `if`k'' & mixed_gender_election_l1==1, robust cluster(group_sponsor) + 4. qui gen sample=e(sample) + 5. +. di "" + 6. di "" + 7. di "j = ", `j', "k = ", `k' + 8. di "" + 9. di "" + 10. +. di "rdbwselect_2014 pct_cosponsors_opposite MV1_female_l1 `if`k'', c(0) kernel(uniform)" + 11. rdbwselect_2014 pct_cosponsors_opposite MV1_female_l1 `if`k'', c(0) kernel(uniform) + 12. local band = e(h_CCT) + 13. +. if `j'==1 { + 14. di "reg pct_cosponsors_opposite sponsor_female_l1 `controls`j'' `other_controls' `if`k'', robust cluster(group_sponsor)" + 15. reg pct_cosponsors_opposite sponsor_female_l1 `controls`j'' `other_controls' `if`k'', robust cluster(group_sponsor) + 16. } + 17. else if `j'==2 { + 18. di "reg pct_cosponsors_opposite sponsor_female_l1 `controls`j'' `if`k'' & sample==1 & abs(MV1_female_l1)<=`band', robust cluster(group_sponsor)" + 19. reg pct_cosponsors_opposite sponsor_female_l1 `controls`j'' `if`k'' & sample==1 & abs(MV1_female_l1)<=`band', robust cluster(group_sponsor) + 20. } + 21. else if `j'==3 { + 22. qui probit sponsor_female_l1 i.v2 `districtchars' `if`k'' & tag_sponsor==1 & abs(MV1_female_l1)<=`band' + 23. predict pscore if sample==1 + 24. gen wt = 1/pscore if sponsor_female_l1==1 + 25. replace wt =1/(1-pscore) if sponsor_female_l1==0 + 26. di "reg pct_cosponsors_opposite sponsor_female_l1 `controls`j'' `billchars' [aw=wt] `if`k'' & sample==1 & abs(MV1_female_l1)<=`band', robust cluste +> r(group_sponsor)" + 27. reg pct_cosponsors_opposite sponsor_female_l1 `controls`j'' `billchars' [aw=wt] `if`k'' & sample==1 & abs(MV1_female_l1)<=`band', robust cluster(group_ +> sponsor) + 28. drop pscore wt + 29. } + 30. else if `j'==4 { + 31. qui probit sponsor_female_l1 i.v2 `districtchars' absMV_l1 `if`k'' & tag_sponsor==1 + 32. predict pscore + 33. gen wt = 1/pscore if sponsor_female_l1==1 + 34. replace wt =1/(1-pscore) if sponsor_female_l1==0 + 35. di "reg pct_cosponsors_opposite sponsor_female_l1 `controls`j'' `billchars' [aw=wt] `if`k'', robust cluster(group_sponsor)" + 36. reg pct_cosponsors_opposite sponsor_female_l1 `controls`j'' `billchars' [aw=wt] `if`k'', robust cluster(group_sponsor) + 37. drop pscore wt + 38. } + 39. else if `j'==5 { + 40. qui probit sponsor_female_l1 i.v2 `districtchars' `indivchars' absMV_l1 `if`k'' & tag_sponsor==1 + 41. predict pscore + 42. gen wt = 1/pscore if sponsor_female_l1==1 + 43. replace wt =1/(1-pscore) if sponsor_female_l1==0 + 44. di "reg pct_cosponsors_opposite sponsor_female_l1 `controls`j'' `billchars' [aw=wt] `if`k'', robust cluster(group_sponsor)" + 45. reg pct_cosponsors_opposite sponsor_female_l1 `controls`j'' `billchars' [aw=wt] `if`k'', robust cluster(group_sponsor) + 46. drop pscore wt + 47. } + 48. +. if `j'~=2 & `j'~=3 { + 49. scalar b_col`j'_row`k' = _b[sponsor_female_l1] + 50. scalar se_col`j'_row`k' = _se[sponsor_female_l1] + 51. scalar n_col`j'_row`k' = e(N) + 52. sum tag_congressmen if tag_congressmen==1 & e(sample) + 53. scalar ni_col`j'_row`k' = e(N_clust) + 54. scalar ob_col`j'_row`k' = . + 55. } + 56. else if `j'==2 | `j'==3 { + 57. scalar b_col`j'_row`k' = _b[sponsor_female_l1] + 58. scalar se_col`j'_row`k' = _se[sponsor_female_l1] + 59. scalar n_col`j'_row`k' = e(N) + 60. sum tag_congressmen if tag_congressmen==1 & e(sample) + 61. scalar ni_col`j'_row`k' = e(N_clust) + 62. scalar ob_col`j'_row`k' = round(`band') + 63. } + 64. +. drop sample + 65. +. } + 66. } + + +j = 1 k = 1 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female_l1 if tag_bill==1 & sponsor_female==0, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5144 +----------------------+---------------------- NN matches = 3 + Number of obs | 4450 694 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of MV1_female_l1 | 99.716 73.923 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 11.87532 21.08255 .563277 +---------------------------------------------- +reg pct_cosponsors_opposite sponsor_female_l1 i.v2 i.minor house_* sponsor_democrat_l1 sponsor_rookie_l1 sponsor_tenure_run_l1 sponsor_age_l1 leader_l1 ivycoll_l1 b +> lack_l1 occ0_l1 occ1_l1 occ2_l1 occ3_l1 occ4_l1 borninstate_l1 tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if tag_bill==1 & spo +> nsor_female==0, robust cluster(group_sponsor) + +Linear regression Number of obs = 37,045 + F(287, 3013) = . + Prob > F = . + R-squared = 0.1015 + Root MSE = 20.408 + + (Std. Err. adjusted for 3,014 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female_l1 | 1.168025 1.261944 0.93 0.355 -1.306335 3.642385 + | + v2 | + 103 | -2.46878 1.047197 -2.36 0.018 -4.522073 -.4154864 + 104 | -2.339751 1.110952 -2.11 0.035 -4.518052 -.1614493 + 105 | -1.877291 1.096238 -1.71 0.087 -4.026742 .2721599 + 106 | -.5266848 1.069567 -0.49 0.622 -2.62384 1.570471 + 108 | -3.964888 3.689641 -1.07 0.283 -11.19936 3.269582 + 109 | -3.99138 3.65886 -1.09 0.275 -11.1655 3.182736 + 110 | -4.124176 3.646421 -1.13 0.258 -11.2739 3.02555 + | + minor | + 101 | -.0543972 4.768285 -0.01 0.991 -9.40382 9.295026 + 103 | 1.656554 6.980494 0.24 0.812 -12.03046 15.34357 + 104 | .1826454 3.724776 0.05 0.961 -7.120716 7.486006 + 105 | 2.662376 3.194582 0.83 0.405 -3.601406 8.926158 + 107 | 2.785898 3.035309 0.92 0.359 -3.165589 8.737385 + 108 | 8.774449 5.153655 1.70 0.089 -1.33059 18.87949 + 110 | -8.6633 3.403346 -2.55 0.011 -15.33642 -1.990183 + 200 | 2.517578 3.305432 0.76 0.446 -3.963554 8.99871 + 201 | -1.584102 3.293881 -0.48 0.631 -8.042585 4.874382 + 202 | 4.254325 3.678537 1.16 0.248 -2.958373 11.46702 + 204 | 21.18279 5.291456 4.00 0.000 10.80756 31.55802 + 205 | 10.46364 5.707712 1.83 0.067 -.7277655 21.65505 + 206 | -1.876513 3.425238 -0.55 0.584 -8.592555 4.839528 + 207 | 3.740784 3.366739 1.11 0.267 -2.860555 10.34212 + 208 | 5.678563 3.295629 1.72 0.085 -.7833473 12.14047 + 209 | -10.09661 3.261939 -3.10 0.002 -16.49247 -3.700763 + 299 | 3.762704 3.867053 0.97 0.331 -3.819627 11.34503 + 300 | 7.223339 3.580725 2.02 0.044 .2024258 14.24425 + 301 | 5.550693 3.232406 1.72 0.086 -.7872526 11.88864 + 302 | 6.169535 3.082869 2.00 0.045 .1247942 12.21428 + 321 | 9.453557 3.26371 2.90 0.004 3.054233 15.85288 + 322 | 13.32119 3.282941 4.06 0.000 6.884161 19.75822 + 323 | 11.96219 3.396352 3.52 0.000 5.302792 18.6216 + 324 | .4512689 3.330465 0.14 0.892 -6.078945 6.981483 + 325 | 14.60018 3.471138 4.21 0.000 7.794144 21.40622 + 331 | 12.72439 3.444198 3.69 0.000 5.971169 19.4776 + 332 | 9.466994 3.367443 2.81 0.005 2.864275 16.06971 + 333 | 8.448894 3.789614 2.23 0.026 1.018403 15.87939 + 334 | 11.82291 3.308528 3.57 0.000 5.33571 18.31011 + 335 | 3.208984 3.305917 0.97 0.332 -3.273099 9.691067 + 336 | 14.55769 3.513163 4.14 0.000 7.669245 21.44613 + 341 | 11.02665 3.731327 2.96 0.003 3.710445 18.34286 + 342 | 12.87424 5.793226 2.22 0.026 1.515164 24.23332 + 343 | 5.832171 4.240188 1.38 0.169 -2.481784 14.14613 + 344 | 12.73482 5.569113 2.29 0.022 1.815168 23.65446 + 398 | 16.88267 3.364985 5.02 0.000 10.28477 23.48057 + 399 | 10.24017 4.568068 2.24 0.025 1.283325 19.19702 + 400 | 7.803589 3.976912 1.96 0.050 .0058523 15.60132 + 401 | 9.523896 3.777237 2.52 0.012 2.117672 16.93012 + 402 | 9.648322 3.213625 3.00 0.003 3.347201 15.94944 + 403 | 6.036073 3.335397 1.81 0.070 -.5038117 12.57596 + 404 | 9.483433 4.056089 2.34 0.019 1.53045 17.43642 + 405 | 25.18582 4.795424 5.25 0.000 15.78318 34.58845 + 498 | 15.22778 4.686211 3.25 0.001 6.039287 24.41628 + 499 | 6.412509 4.362467 1.47 0.142 -2.141205 14.96622 + 500 | 7.472291 5.358392 1.39 0.163 -3.034184 17.97877 + 501 | 4.260315 3.428023 1.24 0.214 -2.461187 10.98182 + 502 | 3.810846 3.398414 1.12 0.262 -2.8526 10.47429 + 503 | 4.218923 3.065115 1.38 0.169 -1.791005 10.22885 + 504 | -1.202423 3.169535 -0.38 0.704 -7.417094 5.012249 + 505 | 5.64011 3.499236 1.61 0.107 -1.221023 12.50124 + 506 | 3.813604 3.574663 1.07 0.286 -3.195423 10.82263 + 508 | 3.634604 3.437493 1.06 0.290 -3.105465 10.37467 + 529 | 14.84488 4.705154 3.16 0.002 5.619239 24.07052 + 530 | 5.459471 3.094443 1.76 0.078 -.6079637 11.52691 + 599 | 7.030898 5.339613 1.32 0.188 -3.438757 17.50055 + 600 | 2.547562 3.360353 0.76 0.448 -4.041256 9.136381 + 601 | 9.163372 3.082443 2.97 0.003 3.119467 15.20728 + 602 | 6.939093 3.148312 2.20 0.028 .7660356 13.11215 + 603 | 3.755128 3.43707 1.09 0.275 -2.984113 10.49437 + 604 | 9.513257 4.417522 2.15 0.031 .8515931 18.17492 + 606 | 7.95264 4.257649 1.87 0.062 -.3955519 16.30083 + 607 | 9.348963 3.407221 2.74 0.006 2.668248 16.02968 + 609 | 10.88944 4.721336 2.31 0.021 1.632077 20.14681 + 698 | 8.571705 7.772782 1.10 0.270 -6.66879 23.8122 + 699 | 5.796015 3.970744 1.46 0.144 -1.989627 13.58166 + 700 | 9.933555 3.479128 2.86 0.004 3.11185 16.75526 + 701 | 6.992445 3.259659 2.15 0.032 .6010636 13.38383 + 703 | 7.789496 3.356848 2.32 0.020 1.20755 14.37144 + 704 | 5.253603 3.231394 1.63 0.104 -1.082359 11.58956 + 705 | 4.567568 3.366553 1.36 0.175 -2.033406 11.16854 + 707 | 9.127105 3.840417 2.38 0.018 1.597001 16.65721 + 708 | 1.355956 3.60711 0.38 0.707 -5.71669 8.428602 + 709 | 14.34515 3.333521 4.30 0.000 7.808942 20.88136 + 710 | 12.91885 3.371333 3.83 0.000 6.308504 19.5292 + 711 | 10.85722 3.63238 2.99 0.003 3.735021 17.97941 + 798 | 12.10552 4.674409 2.59 0.010 2.940165 21.27087 + 799 | 7.431685 5.006184 1.48 0.138 -2.384199 17.24757 + 800 | 2.91137 3.540929 0.82 0.411 -4.031512 9.854252 + 801 | 8.355324 3.906415 2.14 0.033 .695814 16.01483 + 802 | 7.551951 3.432716 2.20 0.028 .8212469 14.28265 + 803 | 5.488385 3.204231 1.71 0.087 -.7943162 11.77109 + 805 | 12.45432 4.599693 2.71 0.007 3.435459 21.47317 + 806 | 9.792377 3.341495 2.93 0.003 3.240536 16.34422 + 807 | 6.848992 3.554734 1.93 0.054 -.1209582 13.81894 + 898 | 1.223669 4.558628 0.27 0.788 -7.714667 10.16201 + 899 | -2.920727 5.408686 -0.54 0.589 -13.52582 7.684364 + 1000 | 9.329285 3.79223 2.46 0.014 1.893665 16.76491 + 1001 | 10.73444 3.844963 2.79 0.005 3.195424 18.27346 + 1002 | 9.290117 3.147745 2.95 0.003 3.11817 15.46206 + 1003 | 9.81109 3.120504 3.14 0.002 3.692556 15.92962 + 1005 | 9.125941 3.678779 2.48 0.013 1.912769 16.33911 + 1006 | 9.209195 3.492934 2.64 0.008 2.360419 16.05797 + 1007 | 10.6388 3.437366 3.10 0.002 3.898975 17.37862 + 1010 | 9.873732 5.117127 1.93 0.054 -.1596828 19.90715 + 1098 | 2.470698 4.772083 0.52 0.605 -6.886172 11.82757 + 1099 | 3.376076 8.711636 0.39 0.698 -13.70528 20.45743 + 1200 | 7.086651 4.393304 1.61 0.107 -1.527527 15.70083 + 1201 | 10.27562 3.443596 2.98 0.003 3.523585 17.02766 + 1202 | 10.85889 4.564502 2.38 0.017 1.909039 19.80875 + 1203 | 5.372125 3.267835 1.64 0.100 -1.035288 11.77954 + 1204 | 4.142063 3.24473 1.28 0.202 -2.220047 10.50417 + 1205 | 5.659309 3.468736 1.63 0.103 -1.142021 12.46064 + 1206 | 4.456051 3.727559 1.20 0.232 -2.852767 11.76487 + 1207 | 9.005589 3.532831 2.55 0.011 2.078585 15.93259 + 1208 | 9.381355 3.222107 2.91 0.004 3.063602 15.69911 + 1209 | 7.396417 3.142773 2.35 0.019 1.23422 13.55861 + 1210 | 4.984124 3.303837 1.51 0.132 -1.493879 11.46213 + 1211 | 6.216119 3.608887 1.72 0.085 -.8600128 13.29225 + 1299 | 7.982113 5.04988 1.58 0.114 -1.919448 17.88367 + 1300 | 3.062644 3.697162 0.83 0.408 -4.186573 10.31186 + 1301 | 9.652068 3.84027 2.51 0.012 2.122252 17.18188 + 1302 | 4.535177 3.569291 1.27 0.204 -2.463315 11.53367 + 1303 | 2.835987 3.088761 0.92 0.359 -3.220305 8.89228 + 1304 | 9.279067 3.565076 2.60 0.009 2.288839 16.2693 + 1305 | 7.625539 3.876635 1.97 0.049 .0244204 15.22666 + 1399 | 8.353775 6.82111 1.22 0.221 -5.020727 21.72828 + 1400 | 7.923055 3.498002 2.27 0.024 1.064343 14.78177 + 1401 | 10.64713 3.68412 2.89 0.004 3.423484 17.87077 + 1403 | 8.035585 4.369316 1.84 0.066 -.5315591 16.60273 + 1404 | 7.52377 4.720822 1.59 0.111 -1.73259 16.78013 + 1405 | 10.07515 3.635877 2.77 0.006 2.946096 17.2042 + 1406 | 6.693942 3.315489 2.02 0.044 .1930911 13.19479 + 1407 | 13.41366 4.581473 2.93 0.003 4.430534 22.3968 + 1408 | 2.997384 4.717028 0.64 0.525 -6.251536 12.2463 + 1409 | 6.410388 4.385763 1.46 0.144 -2.189003 15.00978 + 1410 | 11.17944 4.051858 2.76 0.006 3.234748 19.12412 + 1499 | 2.387038 4.819671 0.50 0.620 -7.063141 11.83722 + 1500 | 5.935081 4.053495 1.46 0.143 -2.012815 13.88298 + 1501 | 6.513431 3.160098 2.06 0.039 .3172628 12.7096 + 1502 | 8.79276 3.242738 2.71 0.007 2.434556 15.15096 + 1504 | 8.090056 3.280401 2.47 0.014 1.658004 14.52211 + 1505 | 13.24189 3.780591 3.50 0.000 5.829088 20.65469 + 1507 | 8.950676 3.846413 2.33 0.020 1.408816 16.49254 + 1520 | 8.034106 3.561071 2.26 0.024 1.05173 15.01648 + 1521 | 4.726049 3.296293 1.43 0.152 -1.737164 11.18926 + 1522 | 17.66801 3.720127 4.75 0.000 10.37377 24.96226 + 1523 | 8.462908 3.247873 2.61 0.009 2.094635 14.83118 + 1524 | 15.80608 7.647991 2.07 0.039 .8102675 30.80189 + 1525 | 5.715556 3.245747 1.76 0.078 -.6485476 12.07966 + 1526 | 13.21747 3.572496 3.70 0.000 6.212689 20.22224 + 1599 | 14.17748 4.671436 3.03 0.002 5.017952 23.337 + 1600 | 9.8312 3.701272 2.66 0.008 2.573925 17.08847 + 1602 | 5.886803 4.462012 1.32 0.187 -2.862094 14.6357 + 1603 | 3.502048 3.974486 0.88 0.378 -4.290931 11.29503 + 1604 | 8.62588 4.701189 1.83 0.067 -.5919847 17.84374 + 1605 | 8.929046 3.886672 2.30 0.022 1.308248 16.54984 + 1606 | 13.43098 5.094672 2.64 0.008 3.441598 23.42037 + 1608 | 11.29041 3.183509 3.55 0.000 5.048341 17.53248 + 1609 | 12.27362 3.191258 3.85 0.000 6.016352 18.53088 + 1610 | 8.604601 4.213344 2.04 0.041 .3432805 16.86592 + 1611 | 8.302282 3.671262 2.26 0.024 1.103849 15.50071 + 1612 | 9.098215 3.735304 2.44 0.015 1.774211 16.42222 + 1614 | 3.692552 4.567742 0.81 0.419 -5.263656 12.64876 + 1615 | 7.567136 3.58822 2.11 0.035 .5315268 14.60275 + 1616 | 6.794196 3.692366 1.84 0.066 -.4456173 14.03401 + 1617 | 6.904063 4.709485 1.47 0.143 -2.330068 16.13819 + 1619 | 3.407979 3.921751 0.87 0.385 -4.281602 11.09756 + 1620 | 16.61895 5.498691 3.02 0.003 5.837382 27.40052 + 1698 | 15.76907 6.190065 2.55 0.011 3.63189 27.90625 + 1699 | 16.30705 3.683121 4.43 0.000 9.08536 23.52873 + 1700 | 9.032233 4.755397 1.90 0.058 -.2919195 18.35639 + 1701 | 10.10535 3.985383 2.54 0.011 2.290999 17.91969 + 1704 | 14.02136 5.705966 2.46 0.014 2.833377 25.20934 + 1705 | 6.893893 6.934163 0.99 0.320 -6.702278 20.49006 + 1706 | 9.402618 3.389062 2.77 0.006 2.757509 16.04773 + 1707 | 10.81219 3.391038 3.19 0.001 4.163203 17.46117 + 1708 | 15.87836 4.492649 3.53 0.000 7.06939 24.68733 + 1709 | 11.62267 3.684398 3.15 0.002 4.398478 18.84686 + 1798 | 9.489014 4.179865 2.27 0.023 1.293338 17.68469 + 1799 | 4.908733 6.971089 0.70 0.481 -8.759842 18.57731 + 1800 | 4.665418 3.577808 1.30 0.192 -2.349776 11.68061 + 1802 | 10.43233 3.46351 3.01 0.003 3.641252 17.22342 + 1803 | 5.757823 3.490208 1.65 0.099 -1.085608 12.60125 + 1804 | 6.679108 3.864831 1.73 0.084 -.8988667 14.25708 + 1806 | 4.015848 4.206206 0.95 0.340 -4.231477 12.26317 + 1807 | -5.482545 3.00597 -1.82 0.068 -11.37651 .4114146 + 1808 | 5.298408 5.701467 0.93 0.353 -5.880752 16.47757 + 1899 | -3.296349 7.181362 -0.46 0.646 -17.37722 10.78452 + 1900 | 8.139745 3.926711 2.07 0.038 .4404401 15.83905 + 1901 | 9.700477 3.498168 2.77 0.006 2.841439 16.55952 + 1902 | 13.51657 4.307128 3.14 0.002 5.071364 21.96178 + 1905 | 18.69534 5.063367 3.69 0.000 8.767333 28.62334 + 1906 | 7.231302 3.670875 1.97 0.049 .0336286 14.42898 + 1907 | 12.83024 5.207993 2.46 0.014 2.618661 23.04182 + 1908 | 13.58316 6.124931 2.22 0.027 1.57369 25.59263 + 1909 | 16.80278 5.901959 2.85 0.004 5.230502 28.37505 + 1910 | 6.883812 5.841478 1.18 0.239 -4.569875 18.3375 + 1911 | 7.955053 4.67615 1.70 0.089 -1.213716 17.12382 + 1912 | -2.264016 5.137831 -0.44 0.659 -12.33803 7.809993 + 1914 | 6.434501 3.941918 1.63 0.103 -1.294622 14.16362 + 1915 | 17.43334 6.675496 2.61 0.009 4.344345 30.52233 + 1919 | 13.903 5.146968 2.70 0.007 3.811078 23.99493 + 1920 | 8.259739 3.594549 2.30 0.022 1.211721 15.30776 + 1925 | 14.49235 4.19128 3.46 0.001 6.27429 22.71041 + 1926 | 2.23467 3.999809 0.56 0.576 -5.607962 10.0773 + 1927 | 6.725497 4.031922 1.67 0.095 -1.180102 14.6311 + 1929 | 4.792826 4.11831 1.16 0.245 -3.282157 12.86781 + 1999 | -.5143464 10.21605 -0.05 0.960 -20.54549 19.51679 + 2000 | 3.569443 3.125927 1.14 0.254 -2.559724 9.69861 + 2001 | 3.997194 3.435364 1.16 0.245 -2.738701 10.73309 + 2002 | 4.218745 3.236791 1.30 0.193 -2.127798 10.56529 + 2003 | 9.443056 3.49759 2.70 0.007 2.585151 16.30096 + 2004 | 9.31995 3.15626 2.95 0.003 3.131308 15.50859 + 2005 | 9.341988 6.863115 1.36 0.174 -4.114876 22.79885 + 2006 | 21.19855 3.238686 6.55 0.000 14.84829 27.54881 + 2007 | 1.936769 3.506271 0.55 0.581 -4.938156 8.811695 + 2008 | 19.35468 3.114126 6.22 0.000 13.24865 25.4607 + 2009 | 5.666656 4.226214 1.34 0.180 -2.6199 13.95321 + 2011 | 4.927359 3.170067 1.55 0.120 -1.288355 11.14307 + 2012 | 1.225399 3.155958 0.39 0.698 -4.962651 7.413449 + 2013 | 4.659814 6.004887 0.78 0.438 -7.114277 16.43391 + 2014 | 11.80615 4.144624 2.85 0.004 3.679568 19.93272 + 2015 | 2.498103 4.577608 0.55 0.585 -6.477449 11.47366 + 2030 | 3.432752 4.490103 0.76 0.445 -5.371224 12.23673 + 2099 | 9.179649 4.142484 2.22 0.027 1.057267 17.30203 + 2100 | 2.782246 3.73272 0.75 0.456 -4.53669 10.10118 + 2101 | 12.01258 3.106684 3.87 0.000 5.921139 18.10401 + 2102 | 11.10237 3.200114 3.47 0.001 4.827743 17.377 + 2103 | 5.555529 3.133854 1.77 0.076 -.5891801 11.70024 + 2104 | 6.59108 3.178165 2.07 0.038 .3594884 12.82267 + 2105 | 12.67665 4.566637 2.78 0.006 3.722613 21.6307 + 2199 | -7.493915 4.880028 -1.54 0.125 -17.06244 2.074609 + 9999 | 6.952639 4.011322 1.73 0.083 -.9125672 14.81784 + | + house_administration | -2.299295 1.074713 -2.14 0.032 -4.406539 -.1920503 + house_agriculture | 1.257059 .7412117 1.70 0.090 -.1962726 2.710391 + house_appropriations | -13.02668 .9516617 -13.69 0.000 -14.89265 -11.1607 + house_armedservices | -1.745393 .7400734 -2.36 0.018 -3.196493 -.294293 + house_budget | -1.11728 1.176266 -0.95 0.342 -3.423646 1.189086 + house_dc | -6.594129 3.775123 -1.75 0.081 -13.99621 .80795 + house_educlabor | -2.840833 .5123639 -5.54 0.000 -3.845452 -1.836215 + house_energycommerce | 1.018922 .46753 2.18 0.029 .1022115 1.935632 + house_foreignaffairs | 2.103312 1.167067 1.80 0.072 -.185016 4.39164 + house_governmentop | .6499445 1.266138 0.51 0.608 -1.832638 3.132527 + house_intelligence | -4.551269 2.343978 -1.94 0.052 -9.147228 .0446904 + house_interior | -.934841 1.334288 -0.70 0.484 -3.551048 1.681366 + house_judiciary | -.072827 .4938562 -0.15 0.883 -1.041156 .8955023 + house_mmf | 2.119607 1.585984 1.34 0.181 -.9901136 5.229329 + house_pocs | 1.694134 1.184462 1.43 0.153 -.6283026 4.016571 + house_pwt | -.1154051 1.122484 -0.10 0.918 -2.316317 2.085507 + house_rules | -2.67228 .9420849 -2.84 0.005 -4.519475 -.8250859 + house_sst | .8816208 1.934449 0.46 0.649 -2.911354 4.674596 + house_smallbusi | .9201622 2.532762 0.36 0.716 -4.045955 5.88628 + house_soc | -3.22316 4.507341 -0.72 0.475 -12.06094 5.614616 + house_veterans | 1.976368 1.019676 1.94 0.053 -.0229648 3.9757 + house_waysandmeans | -.0418554 .4200305 -0.10 0.921 -.8654309 .7817201 +house_naturalresources | -2.99389 1.00103 -2.99 0.003 -4.956661 -1.03112 + house_bfs | -1.267206 .6894777 -1.84 0.066 -2.619101 .0846882 + house_eeo | -4.769347 1.156932 -4.12 0.000 -7.037803 -2.50089 + house_govreform | 2.168749 .6871861 3.16 0.002 .821348 3.51615 + house_ir | 4.104528 1.127301 3.64 0.000 1.894171 6.314885 + house_natsecur | .2297837 1.417282 0.16 0.871 -2.549154 3.008721 + house_oversight | -.4526392 1.057452 -0.43 0.669 -2.52604 1.620762 + house_resources | -3.556289 .8037746 -4.42 0.000 -5.132292 -1.980287 + house_science | 1.421689 1.254771 1.13 0.257 -1.038605 3.881983 + house_transp | -.3316712 .7810865 -0.42 0.671 -1.863188 1.199845 + house_homeland | -.6934755 1.520998 -0.46 0.648 -3.675775 2.288824 + sponsor_democrat_l1 | -5.22238 .4618584 -11.31 0.000 -6.127969 -4.31679 + sponsor_rookie_l1 | 1.521291 .7296401 2.08 0.037 .090648 2.951934 + sponsor_tenure_run_l1 | .1306124 .0746416 1.75 0.080 -.0157413 .276966 + sponsor_age_l1 | -.005197 .0244465 -0.21 0.832 -.0531304 .0427364 + leader_l1 | -.5616918 .6626489 -0.85 0.397 -1.860982 .7375981 + ivycoll_l1 | .2602681 .6137465 0.42 0.672 -.9431363 1.463672 + black_l1 | -.6138528 1.039704 -0.59 0.555 -2.652455 1.424749 + occ0_l1 | 2.114365 .626543 3.37 0.001 .8858698 3.34286 + occ1_l1 | .5586509 .7116525 0.79 0.433 -.836723 1.954025 + occ2_l1 | 1.488218 .5929201 2.51 0.012 .3256492 2.650787 + occ3_l1 | -.9424828 .8603036 -1.10 0.273 -2.629324 .7443589 + occ4_l1 | 1.08272 .6389804 1.69 0.090 -.1701616 2.335602 + borninstate_l1 | .7809206 .395605 1.97 0.048 .0052375 1.556604 + tot_bills | -.055796 .0148297 -3.76 0.000 -.0848735 -.0267186 + NE | -.6102422 .6336114 -0.96 0.336 -1.852597 .6321123 + MW | -.5906104 .5520366 -1.07 0.285 -1.673017 .4917963 + WE | -1.577687 .5975387 -2.64 0.008 -2.749312 -.4060618 + pct_black | -2.837318 2.181243 -1.30 0.193 -7.114194 1.439558 + pct_urban | 2.873304 1.475959 1.95 0.052 -.0206857 5.767293 + pct_for_born | -10.41383 3.010072 -3.46 0.001 -16.31583 -4.511825 + pct_age_over65 | 20.68498 6.090863 3.40 0.001 8.742315 32.62765 + lninc | 1.963984 1.109746 1.77 0.077 -.2119522 4.13992 + lnpden | -.2974024 .2358689 -1.26 0.207 -.7598827 .1650779 + _cons | -10.56078 11.34946 -0.93 0.352 -32.81426 11.6927 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 3,014 1 0 1 1 + + +j = 1 k = 2 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female_l1 if sponsor_party_l1==100 & tag_bill==1 & sponsor_female==0, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 1870 +----------------------+---------------------- NN matches = 3 + Number of obs | 1347 523 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of MV1_female_l1 | 99.685 73.923 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 9.725593 22.36827 .4347942 +---------------------------------------------- +reg pct_cosponsors_opposite sponsor_female_l1 i.v2 i.minor house_* sponsor_democrat_l1 sponsor_rookie_l1 sponsor_tenure_run_l1 sponsor_age_l1 leader_l1 ivycoll_l1 b +> lack_l1 occ0_l1 occ1_l1 occ2_l1 occ3_l1 occ4_l1 borninstate_l1 tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if sponsor_party_l1= +> =100 & tag_bill==1 & sponsor_female==0, robust cluster(group_sponsor) +note: sponsor_democrat_l1 omitted because of collinearity + +Linear regression Number of obs = 18,438 + F(281, 1480) = . + Prob > F = . + R-squared = 0.1031 + Root MSE = 18.336 + + (Std. Err. adjusted for 1,481 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female_l1 | -1.539581 1.668783 -0.92 0.356 -4.813012 1.73385 + | + v2 | + 103 | -2.118023 1.229521 -1.72 0.085 -4.529812 .293765 + 104 | -5.199694 1.355371 -3.84 0.000 -7.858346 -2.541042 + 105 | -4.902202 1.308038 -3.75 0.000 -7.468008 -2.336396 + 106 | -3.444265 1.211099 -2.84 0.005 -5.819918 -1.068613 + 108 | -6.888068 4.223118 -1.63 0.103 -15.172 1.395865 + 109 | -5.592477 4.266719 -1.31 0.190 -13.96194 2.776984 + 110 | -1.285721 4.150236 -0.31 0.757 -9.426693 6.85525 + | + minor | + 101 | -1.393586 4.96502 -0.28 0.779 -11.13281 8.345639 + 103 | -2.682648 3.818495 -0.70 0.482 -10.17289 4.80759 + 104 | -.5905797 5.988259 -0.10 0.921 -12.33696 11.1558 + 105 | .5753901 4.057376 0.14 0.887 -7.38343 8.534211 + 107 | 2.690394 3.715147 0.72 0.469 -4.597121 9.977908 + 108 | 6.633488 6.260113 1.06 0.289 -5.64615 18.91313 + 200 | -.3192257 4.147068 -0.08 0.939 -8.453982 7.81553 + 201 | -6.113643 3.817342 -1.60 0.109 -13.60162 1.374334 + 202 | .0321534 4.140544 0.01 0.994 -8.089805 8.154112 + 204 | 14.85166 5.828095 2.55 0.011 3.419459 26.28387 + 205 | 9.825044 6.432243 1.53 0.127 -2.79224 22.44233 + 206 | -6.79256 3.773091 -1.80 0.072 -14.19373 .6086144 + 207 | 2.268395 4.387954 0.52 0.605 -6.338875 10.87567 + 208 | 4.160736 4.02774 1.03 0.302 -3.73995 12.06142 + 299 | 5.475766 9.588468 0.57 0.568 -13.33267 24.2842 + 300 | .7159726 4.042409 0.18 0.859 -7.213489 8.645434 + 301 | .7093081 3.852823 0.18 0.854 -6.848267 8.266883 + 302 | 3.019152 3.736959 0.81 0.419 -4.311148 10.34945 + 321 | 3.871107 3.901563 0.99 0.321 -3.782075 11.52429 + 322 | 6.609903 3.996966 1.65 0.098 -1.230417 14.45022 + 323 | 9.627051 4.150639 2.32 0.021 1.48529 17.76881 + 324 | .4986834 4.061063 0.12 0.902 -7.467369 8.464735 + 325 | 5.448679 4.092074 1.33 0.183 -2.578204 13.47556 + 331 | 5.688386 3.97345 1.43 0.152 -2.105807 13.48258 + 332 | 2.101792 3.891093 0.54 0.589 -5.530853 9.734437 + 333 | 4.201742 4.131892 1.02 0.309 -3.903245 12.30673 + 334 | 6.221878 3.870057 1.61 0.108 -1.369503 13.81326 + 335 | -2.458372 3.771002 -0.65 0.515 -9.855449 4.938705 + 336 | 9.750673 4.195104 2.32 0.020 1.52169 17.97966 + 341 | 5.983936 4.259105 1.40 0.160 -2.370588 14.33846 + 342 | 3.661809 5.248475 0.70 0.485 -6.633433 13.95705 + 343 | -1.264076 4.462428 -0.28 0.777 -10.01743 7.489281 + 344 | 4.99093 5.200473 0.96 0.337 -5.210152 15.19201 + 398 | 8.701378 4.024553 2.16 0.031 .8069424 16.59581 + 399 | 6.419158 5.406249 1.19 0.235 -4.185568 17.02388 + 400 | 5.539361 5.024015 1.10 0.270 -4.315587 15.39431 + 401 | 12.2459 5.49172 2.23 0.026 1.473518 23.01828 + 402 | 6.036444 4.003834 1.51 0.132 -1.81735 13.89024 + 403 | 4.201033 4.079833 1.03 0.303 -3.801838 12.2039 + 404 | 6.096614 5.287659 1.15 0.249 -4.275489 16.46872 + 405 | 21.14773 5.789313 3.65 0.000 9.791602 32.50387 + 498 | 12.16816 6.605917 1.84 0.066 -.7897955 25.12612 + 499 | 7.51528 7.210261 1.04 0.297 -6.628138 21.6587 + 500 | 5.946825 6.442733 0.92 0.356 -6.691034 18.58468 + 501 | 1.397444 4.172647 0.33 0.738 -6.787487 9.582375 + 502 | .6416827 4.170545 0.15 0.878 -7.539126 8.822492 + 503 | 2.001302 3.732913 0.54 0.592 -5.321061 9.323665 + 504 | -.5292396 3.873909 -0.14 0.891 -8.128176 7.069697 + 505 | 2.782418 4.374033 0.64 0.525 -5.797547 11.36238 + 506 | .0279942 4.191938 0.01 0.995 -8.194777 8.250766 + 508 | -.0479855 3.99117 -0.01 0.990 -7.876937 7.780966 + 529 | 17.97664 7.325214 2.45 0.014 3.607733 32.34555 + 530 | 1.49205 3.806952 0.39 0.695 -5.975545 8.959646 + 599 | 5.241938 4.674974 1.12 0.262 -3.928342 14.41222 + 600 | -.2825987 3.924286 -0.07 0.943 -7.980352 7.415155 + 601 | 3.577907 3.679718 0.97 0.331 -3.640111 10.79593 + 602 | .960942 3.731487 0.26 0.797 -6.358624 8.280508 + 603 | -1.614979 3.85566 -0.42 0.675 -9.178119 5.948161 + 604 | 2.904323 4.966198 0.58 0.559 -6.837213 12.64586 + 606 | 5.81239 5.183639 1.12 0.262 -4.355672 15.98045 + 607 | 1.698532 3.88828 0.44 0.662 -5.928595 9.325659 + 609 | 3.216583 5.014424 0.64 0.521 -6.61955 13.05272 + 698 | 1.183816 7.390881 0.16 0.873 -13.3139 15.68153 + 699 | 3.384192 4.474775 0.76 0.450 -5.393384 12.16177 + 700 | 4.818726 4.128893 1.17 0.243 -3.280379 12.91783 + 701 | 4.937171 4.171282 1.18 0.237 -3.245083 13.11942 + 703 | 1.563063 4.078135 0.38 0.702 -6.436477 9.562604 + 704 | 2.897562 3.941041 0.74 0.462 -4.833059 10.62818 + 705 | 5.946332 4.274927 1.39 0.164 -2.439228 14.33189 + 707 | 1.583255 4.283918 0.37 0.712 -6.819942 9.986452 + 708 | -2.63827 4.032029 -0.65 0.513 -10.54737 5.27083 + 709 | 10.70074 3.962511 2.70 0.007 2.928006 18.47348 + 710 | 9.077634 4.152568 2.19 0.029 .9320884 17.22318 + 711 | 5.782304 4.530412 1.28 0.202 -3.104408 14.66902 + 798 | 4.220996 4.742728 0.89 0.374 -5.082188 13.52418 + 799 | 5.370682 6.638099 0.81 0.419 -7.650402 18.39177 + 800 | -1.35972 4.315195 -0.32 0.753 -9.824269 7.10483 + 801 | 7.500071 5.037377 1.49 0.137 -2.381088 17.38123 + 802 | 4.06939 4.231296 0.96 0.336 -4.230586 12.36937 + 803 | 1.363937 3.992047 0.34 0.733 -6.466735 9.19461 + 805 | 12.13729 5.942638 2.04 0.041 .4804047 23.79419 + 806 | 8.510883 4.234567 2.01 0.045 .2044917 16.81728 + 807 | .4525487 4.093129 0.11 0.912 -7.576403 8.481501 + 898 | -.905501 5.149661 -0.18 0.860 -11.00691 9.19591 + 899 | -8.379727 3.832101 -2.19 0.029 -15.89665 -.8628001 + 1000 | 7.412079 4.958614 1.49 0.135 -2.31458 17.13874 + 1001 | 1.352693 4.573513 0.30 0.767 -7.618565 10.32395 + 1002 | 5.133202 4.393905 1.17 0.243 -3.485741 13.75215 + 1003 | 6.741363 3.891342 1.73 0.083 -.8917691 14.3745 + 1005 | 4.653686 4.326992 1.08 0.282 -3.834003 13.14137 + 1006 | 5.35782 4.348777 1.23 0.218 -3.172602 13.88824 + 1007 | 7.205699 4.312737 1.67 0.095 -1.254029 15.66543 + 1010 | 5.318172 5.562774 0.96 0.339 -5.593588 16.22993 + 1098 | -4.827107 4.110763 -1.17 0.240 -12.89065 3.236436 + 1099 | -2.157308 6.159984 -0.35 0.726 -14.24054 9.925922 + 1200 | 7.589999 6.454249 1.18 0.240 -5.07045 20.25045 + 1201 | 1.09559 4.048074 0.27 0.787 -6.844982 9.036163 + 1202 | 6.473857 5.950554 1.09 0.277 -5.198559 18.14627 + 1203 | 6.930331 4.026432 1.72 0.085 -.9677908 14.82845 + 1204 | 2.947231 4.203773 0.70 0.483 -5.298756 11.19322 + 1205 | 1.635535 4.533901 0.36 0.718 -7.258021 10.52909 + 1206 | 1.606761 4.614653 0.35 0.728 -7.445196 10.65872 + 1207 | 3.480927 4.432784 0.79 0.432 -5.214282 12.17614 + 1208 | 4.133828 3.952358 1.05 0.296 -3.618991 11.88665 + 1209 | -.877706 3.80641 -0.23 0.818 -8.344239 6.588827 + 1210 | 2.63999 4.212997 0.63 0.531 -5.624092 10.90407 + 1211 | 1.195681 4.386907 0.27 0.785 -7.409536 9.800898 + 1299 | 11.01918 5.879897 1.87 0.061 -.5146421 22.553 + 1300 | 3.960694 4.728949 0.84 0.402 -5.315462 13.23685 + 1301 | 1.024663 4.125975 0.25 0.804 -7.068718 9.118045 + 1302 | 1.233711 4.295022 0.29 0.774 -7.191268 9.65869 + 1303 | 1.41212 3.804655 0.37 0.711 -6.05097 8.875209 + 1304 | 4.380482 4.15786 1.05 0.292 -3.775444 12.53641 + 1305 | 4.02414 4.59507 0.88 0.381 -4.989404 13.03768 + 1399 | 13.53881 5.656183 2.39 0.017 2.443817 24.63379 + 1400 | 5.666675 4.338387 1.31 0.192 -2.843368 14.17672 + 1401 | 5.334253 4.497716 1.19 0.236 -3.488324 14.15683 + 1403 | 2.128511 5.020101 0.42 0.672 -7.718759 11.97578 + 1404 | 1.026667 5.177149 0.20 0.843 -9.128664 11.182 + 1405 | 2.340971 4.066838 0.58 0.565 -5.636409 10.31835 + 1406 | 1.243265 3.98867 0.31 0.755 -6.580783 9.067312 + 1407 | 6.181103 4.873681 1.27 0.205 -3.378954 15.74116 + 1408 | 2.611884 5.636348 0.46 0.643 -8.444197 13.66796 + 1409 | .7511553 4.652259 0.16 0.872 -8.374568 9.876879 + 1410 | 2.683349 4.595501 0.58 0.559 -6.331039 11.69774 + 1499 | -5.834978 4.283334 -1.36 0.173 -14.23703 2.567074 + 1500 | 5.180816 5.672754 0.91 0.361 -5.946678 16.30831 + 1501 | 2.450148 3.883852 0.63 0.528 -5.168292 10.06859 + 1502 | 7.549986 4.065582 1.86 0.064 -.4249306 15.5249 + 1504 | 3.372984 4.037165 0.84 0.404 -4.54619 11.29216 + 1505 | 7.333147 4.699319 1.56 0.119 -1.884888 16.55118 + 1507 | -4.49426 4.634683 -0.97 0.332 -13.58551 4.596987 + 1520 | 4.016477 4.441384 0.90 0.366 -4.695601 12.72856 + 1521 | 6.026866 4.407208 1.37 0.172 -2.618173 14.67191 + 1522 | 16.20117 4.517801 3.59 0.000 7.339196 25.06315 + 1523 | 5.643798 3.879021 1.45 0.146 -1.965165 13.25276 + 1524 | 22.18835 7.788493 2.85 0.004 6.91069 37.46601 + 1525 | 2.967 3.853773 0.77 0.441 -4.592439 10.52644 + 1526 | 3.865991 4.377131 0.88 0.377 -4.72005 12.45203 + 1599 | 15.93796 7.449452 2.14 0.033 1.325352 30.55057 + 1600 | 9.393871 4.745961 1.98 0.048 .0843457 18.7034 + 1602 | 4.097468 5.078361 0.81 0.420 -5.864084 14.05902 + 1603 | -2.11749 4.902787 -0.43 0.666 -11.73464 7.499661 + 1604 | 6.366649 6.125196 1.04 0.299 -5.64834 18.38164 + 1605 | 5.260909 4.694849 1.12 0.263 -3.948357 14.47017 + 1606 | 8.228784 6.215733 1.32 0.186 -3.963799 20.42137 + 1608 | 6.53159 3.896344 1.68 0.094 -1.111355 14.17453 + 1609 | 4.839411 3.88743 1.24 0.213 -2.786048 12.46487 + 1610 | 6.755959 5.103517 1.32 0.186 -3.254937 16.76685 + 1611 | 2.852372 4.551414 0.63 0.531 -6.075537 11.78028 + 1612 | 3.52999 4.331369 0.81 0.415 -4.966286 12.02627 + 1614 | 3.708841 5.410149 0.69 0.493 -6.903535 14.32122 + 1615 | 5.024103 4.834557 1.04 0.299 -4.45921 14.50742 + 1616 | 5.169192 4.797314 1.08 0.281 -4.241067 14.57945 + 1617 | 3.507623 5.932408 0.59 0.554 -8.1292 15.14445 + 1619 | -3.741614 4.186986 -0.89 0.372 -11.95467 4.471444 + 1620 | 10.63599 7.002596 1.52 0.129 -3.100081 24.37206 + 1698 | 30.44278 8.378985 3.63 0.000 14.00683 46.87873 + 1699 | 12.67419 4.351631 2.91 0.004 4.138166 21.21021 + 1700 | 9.547387 5.817123 1.64 0.101 -1.863296 20.95807 + 1701 | 5.644356 4.574723 1.23 0.217 -3.329274 14.61799 + 1704 | 22.25052 12.95235 1.72 0.086 -3.156398 47.65744 + 1705 | 4.282018 8.504242 0.50 0.615 -12.39963 20.96367 + 1706 | 6.386537 4.20893 1.52 0.129 -1.869566 14.64264 + 1707 | 8.023936 4.088212 1.96 0.050 .0046308 16.04324 + 1708 | 15.84916 5.478298 2.89 0.004 5.103107 26.59522 + 1709 | 6.764414 4.535061 1.49 0.136 -2.131418 15.66025 + 1798 | 8.400839 5.238281 1.60 0.109 -1.874407 18.67609 + 1799 | 6.010104 9.723397 0.62 0.537 -13.063 25.08321 + 1800 | -.2378485 4.434258 -0.05 0.957 -8.935947 8.46025 + 1802 | 4.55496 4.310723 1.06 0.291 -3.900818 13.01074 + 1803 | 3.857393 4.40852 0.87 0.382 -4.790218 12.50501 + 1804 | .948867 4.526574 0.21 0.834 -7.930316 9.82805 + 1806 | 8.326342 5.666461 1.47 0.142 -2.788807 19.44149 + 1807 | -5.855821 3.687289 -1.59 0.112 -13.08869 1.377048 + 1808 | 7.723979 7.954674 0.97 0.332 -7.879656 23.32761 + 1899 | -4.26549 3.820755 -1.12 0.264 -11.76016 3.229182 + 1900 | 4.650272 4.784685 0.97 0.331 -4.735214 14.03576 + 1901 | 8.652211 4.302623 2.01 0.045 .2123235 17.0921 + 1902 | 9.063195 5.025014 1.80 0.071 -.7937129 18.9201 + 1905 | 8.594416 5.006482 1.72 0.086 -1.22614 18.41497 + 1906 | 4.418451 4.345342 1.02 0.309 -4.105235 12.94214 + 1907 | 6.553443 6.339153 1.03 0.301 -5.881238 18.98812 + 1908 | 7.634681 7.556455 1.01 0.312 -7.18782 22.45718 + 1909 | 12.26013 6.64773 1.84 0.065 -.7798493 25.3001 + 1910 | -2.455152 4.123164 -0.60 0.552 -10.54302 5.632715 + 1911 | 2.960612 4.322055 0.69 0.493 -5.517394 11.43862 + 1912 | -2.831758 5.429203 -0.52 0.602 -13.48151 7.817995 + 1914 | -.4432548 4.215462 -0.11 0.916 -8.712171 7.825661 + 1915 | 12.00929 4.356971 2.76 0.006 3.462797 20.55579 + 1919 | 13.12509 9.554521 1.37 0.170 -5.616754 31.86694 + 1920 | 7.943172 4.299499 1.85 0.065 -.4905887 16.37693 + 1925 | 5.025449 4.801482 1.05 0.295 -4.392986 14.44388 + 1926 | 8.183852 5.669188 1.44 0.149 -2.936646 19.30435 + 1927 | 9.067952 5.455736 1.66 0.097 -1.633845 19.76975 + 1929 | 4.532295 5.69413 0.80 0.426 -6.637129 15.70172 + 1999 | -10.28363 3.729357 -2.76 0.006 -17.59902 -2.968246 + 2000 | 2.586731 3.902737 0.66 0.508 -5.068753 10.24222 + 2001 | 4.619352 4.365203 1.06 0.290 -3.943291 13.182 + 2002 | 4.587836 4.323767 1.06 0.289 -3.893528 13.0692 + 2003 | 3.617641 4.348376 0.83 0.406 -4.911995 12.14728 + 2004 | 6.067177 3.82033 1.59 0.112 -1.426661 13.56102 + 2005 | 14.46811 9.963599 1.45 0.147 -5.076166 34.01239 + 2006 | 16.58932 3.957669 4.19 0.000 8.826081 24.35256 + 2007 | -.1752817 4.452418 -0.04 0.969 -8.909003 8.558439 + 2008 | 17.15314 3.82484 4.48 0.000 9.650455 24.65582 + 2009 | 6.443451 5.567767 1.16 0.247 -4.478103 17.36501 + 2011 | 5.136419 4.130302 1.24 0.214 -2.965451 13.23829 + 2012 | .3303636 3.979483 0.08 0.934 -7.475664 8.136391 + 2013 | -1.05244 4.796505 -0.22 0.826 -10.46111 8.35623 + 2014 | 14.89485 5.487658 2.71 0.007 4.130434 25.65926 + 2015 | .4489527 5.494464 0.08 0.935 -10.32881 11.22672 + 2030 | 6.180773 5.478168 1.13 0.259 -4.565028 16.92657 + 2099 | 5.148519 4.795864 1.07 0.283 -4.258895 14.55593 + 2100 | 2.773459 5.053874 0.55 0.583 -7.140059 12.68698 + 2101 | 4.776392 3.803307 1.26 0.209 -2.684055 12.23684 + 2102 | 6.100135 3.872936 1.58 0.115 -1.496894 13.69716 + 2103 | 5.338881 3.848285 1.39 0.166 -2.209794 12.88755 + 2104 | 4.218589 4.021916 1.05 0.294 -3.670674 12.10785 + 2105 | 1.161306 5.68932 0.20 0.838 -9.998683 12.3213 + 2199 | -9.386537 3.870773 -2.42 0.015 -16.97932 -1.793752 + 9999 | 5.437843 4.989982 1.09 0.276 -4.350346 15.22603 + | + house_administration | -1.695755 1.338272 -1.27 0.205 -4.320866 .9293557 + house_agriculture | -.3669651 .9164301 -0.40 0.689 -2.164605 1.430675 + house_appropriations | -12.27636 1.201883 -10.21 0.000 -14.63393 -9.918781 + house_armedservices | -3.735985 .8772995 -4.26 0.000 -5.456868 -2.015103 + house_budget | -2.846941 1.775127 -1.60 0.109 -6.328974 .6350907 + house_dc | -10.87168 4.683557 -2.32 0.020 -20.0588 -1.684568 + house_educlabor | -3.782907 .5423316 -6.98 0.000 -4.846727 -2.719086 + house_energycommerce | -.5494442 .564058 -0.97 0.330 -1.655882 .556994 + house_foreignaffairs | -.0504593 1.237612 -0.04 0.967 -2.47812 2.377201 + house_governmentop | .7997634 1.761684 0.45 0.650 -2.655899 4.255426 + house_intelligence | .3906271 3.003643 0.13 0.897 -5.501222 6.282477 + house_interior | -3.76728 1.379283 -2.73 0.006 -6.472837 -1.061723 + house_judiciary | .9887849 .6737013 1.47 0.142 -.3327262 2.310296 + house_mmf | 4.945989 1.956549 2.53 0.012 1.108085 8.783892 + house_pocs | .0852056 1.567516 0.05 0.957 -2.989584 3.159996 + house_pwt | -1.582842 1.383717 -1.14 0.253 -4.297097 1.131413 + house_rules | .1862403 1.597891 0.12 0.907 -2.948132 3.320612 + house_sst | 1.640638 1.958089 0.84 0.402 -2.200287 5.481563 + house_smallbusi | -5.766042 2.454941 -2.35 0.019 -10.58158 -.9505074 + house_soc | -3.913712 7.531554 -0.52 0.603 -18.68737 10.85994 + house_veterans | -1.250552 1.057276 -1.18 0.237 -3.324471 .823367 + house_waysandmeans | .0547606 .5242682 0.10 0.917 -.9736273 1.083148 +house_naturalresources | -3.531026 1.348794 -2.62 0.009 -6.176778 -.8852743 + house_bfs | -1.586683 .8446734 -1.88 0.061 -3.243567 .0702018 + house_eeo | -2.071654 1.439907 -1.44 0.150 -4.89613 .7528215 + house_govreform | 3.416757 .9212869 3.71 0.000 1.60959 5.223924 + house_ir | 2.975558 1.32003 2.25 0.024 .3862282 5.564887 + house_natsecur | .8043869 2.042246 0.39 0.694 -3.201618 4.810391 + house_oversight | -1.160615 1.499682 -0.77 0.439 -4.102343 1.781114 + house_resources | 1.147809 1.151366 1.00 0.319 -1.110674 3.406291 + house_science | -1.260904 1.412382 -0.89 0.372 -4.031387 1.509579 + house_transp | -2.624714 .8122421 -3.23 0.001 -4.217982 -1.031446 + house_homeland | -.8114186 2.208169 -0.37 0.713 -5.142893 3.520056 + sponsor_democrat_l1 | 0 (omitted) + sponsor_rookie_l1 | 3.608679 1.121444 3.22 0.001 1.408891 5.808467 + sponsor_tenure_run_l1 | -.0373101 .0754246 -0.49 0.621 -.1852605 .1106403 + sponsor_age_l1 | -.0244254 .030344 -0.80 0.421 -.0839473 .0350965 + leader_l1 | -.7620554 .7345684 -1.04 0.300 -2.202961 .6788506 + ivycoll_l1 | .4257893 .680377 0.63 0.532 -.9088165 1.760395 + black_l1 | -1.82596 1.089005 -1.68 0.094 -3.962117 .310198 + occ0_l1 | .6396788 .7645644 0.84 0.403 -.8600663 2.139424 + occ1_l1 | .6186921 .8404063 0.74 0.462 -1.029822 2.267206 + occ2_l1 | .6684909 .7263642 0.92 0.358 -.7563221 2.093304 + occ3_l1 | .4538373 1.173808 0.39 0.699 -1.848667 2.756342 + occ4_l1 | -.654531 .9578073 -0.68 0.494 -2.533335 1.224273 + borninstate_l1 | .8060951 .4797757 1.68 0.093 -.1350176 1.747208 + tot_bills | -.044204 .0126592 -3.49 0.000 -.0690358 -.0193722 + NE | -2.456607 .782405 -3.14 0.002 -3.991348 -.9218666 + MW | -.6695721 .8007869 -0.84 0.403 -2.24037 .901226 + WE | -1.274111 .772945 -1.65 0.099 -2.790295 .2420734 + pct_black | 1.066155 2.347044 0.45 0.650 -3.537733 5.670042 + pct_urban | -1.746336 1.90531 -0.92 0.360 -5.483731 1.991059 + pct_for_born | -4.97923 2.877792 -1.73 0.084 -10.62422 .6657557 + pct_age_over65 | 5.940171 8.259772 0.72 0.472 -10.26193 22.14228 + lninc | 1.132377 1.283847 0.88 0.378 -1.385977 3.650732 + lnpden | -.1811175 .2754751 -0.66 0.511 -.7214807 .3592458 + _cons | 5.066152 13.01099 0.39 0.697 -20.45579 30.58809 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,481 1 0 1 1 + + +j = 1 k = 3 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female_l1 if sponsor_party_l1==200 & tag_bill==1 & sponsor_female==0, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 3274 +----------------------+---------------------- NN matches = 3 + Number of obs | 3103 171 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of MV1_female_l1 | 78.154 29.857 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 18.39098 27.97511 .6574051 +---------------------------------------------- +reg pct_cosponsors_opposite sponsor_female_l1 i.v2 i.minor house_* sponsor_democrat_l1 sponsor_rookie_l1 sponsor_tenure_run_l1 sponsor_age_l1 leader_l1 ivycoll_l1 b +> lack_l1 occ0_l1 occ1_l1 occ2_l1 occ3_l1 occ4_l1 borninstate_l1 tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden if sponsor_party_l1= +> =200 & tag_bill==1 & sponsor_female==0, robust cluster(group_sponsor) +note: sponsor_democrat_l1 omitted because of collinearity + +Linear regression Number of obs = 18,511 + F(285, 1525) = . + Prob > F = . + R-squared = 0.1543 + Root MSE = 21.505 + + (Std. Err. adjusted for 1,526 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female_l1 | -.0444045 2.809151 -0.02 0.987 -5.554613 5.465804 + | + v2 | + 103 | -.2403985 1.756698 -0.14 0.891 -3.686198 3.205401 + 104 | 2.562475 1.851719 1.38 0.167 -1.069711 6.19466 + 105 | 3.276464 1.822474 1.80 0.072 -.2983574 6.851285 + 106 | 4.359642 1.830428 2.38 0.017 .7692197 7.950063 + 108 | 5.057574 5.021395 1.01 0.314 -4.791997 14.90714 + 109 | 3.704958 4.917865 0.75 0.451 -5.941537 13.35145 + 110 | -2.183913 5.007338 -0.44 0.663 -12.00591 7.638084 + | + minor | + 101 | 2.845646 7.809284 0.36 0.716 -12.47243 18.16372 + 103 | 7.539169 10.87424 0.69 0.488 -13.79088 28.86922 + 104 | 2.26946 5.048261 0.45 0.653 -7.632809 12.17173 + 105 | 5.674824 4.60267 1.23 0.218 -3.353408 14.70306 + 107 | 4.01525 4.445269 0.90 0.367 -4.704237 12.73474 + 108 | 15.01273 8.818208 1.70 0.089 -2.284366 32.30983 + 110 | -4.201889 5.149155 -0.82 0.415 -14.30206 5.898285 + 200 | 5.401302 4.962441 1.09 0.277 -4.332629 15.13523 + 201 | 12.76184 20.15809 0.63 0.527 -26.77866 52.30235 + 202 | 12.09502 9.136307 1.32 0.186 -5.82604 30.01607 + 204 | 24.6394 8.48921 2.90 0.004 7.987641 41.29116 + 205 | 13.55375 7.526833 1.80 0.072 -1.210285 28.3178 + 206 | 4.817476 5.527596 0.87 0.384 -6.025019 15.65997 + 207 | 5.55367 4.787807 1.16 0.246 -3.837712 14.94505 + 208 | 7.250041 4.8644 1.49 0.136 -2.29158 16.79166 + 209 | -6.534789 4.968001 -1.32 0.189 -16.27963 3.210049 + 299 | 4.05155 4.772752 0.85 0.396 -5.310303 13.4134 + 300 | 14.94465 5.617618 2.66 0.008 3.925571 25.96372 + 301 | 11.51989 4.966687 2.32 0.021 1.777626 21.26215 + 302 | 9.77998 4.573193 2.14 0.033 .8095677 18.75039 + 321 | 15.71987 4.872076 3.23 0.001 6.163194 25.27655 + 322 | 20.7499 4.798365 4.32 0.000 11.33781 30.162 + 323 | 15.06773 5.03393 2.99 0.003 5.193568 24.94188 + 324 | 1.460472 4.944818 0.30 0.768 -8.238891 11.15984 + 325 | 27.64783 5.18771 5.33 0.000 17.47203 37.82363 + 331 | 22.64146 5.40611 4.19 0.000 12.03726 33.24565 + 332 | 19.72259 5.404271 3.65 0.000 9.122002 30.32318 + 333 | 18.70602 7.991647 2.34 0.019 3.030239 34.3818 + 334 | 18.53984 5.080599 3.65 0.000 8.574139 28.50554 + 335 | 14.85631 5.648895 2.63 0.009 3.775889 25.93674 + 336 | 19.35448 5.399296 3.58 0.000 8.763648 29.94531 + 341 | 20.11957 6.48142 3.10 0.002 7.406134 32.83302 + 342 | 28.24103 6.91438 4.08 0.000 14.67833 41.80374 + 343 | 10.1702 6.751204 1.51 0.132 -3.072424 23.41283 + 344 | 34.4272 13.8161 2.49 0.013 7.32663 61.52776 + 398 | 21.77392 4.926588 4.42 0.000 12.11032 31.43752 + 399 | 14.71263 7.247918 2.03 0.043 .495693 28.92958 + 400 | 10.10169 5.882868 1.72 0.086 -1.437675 21.64106 + 401 | 9.658627 5.173926 1.87 0.062 -.4901367 19.80739 + 402 | 13.55919 4.684854 2.89 0.004 4.369751 22.74863 + 403 | 9.514644 5.079773 1.87 0.061 -.4494355 19.47872 + 404 | 11.78801 5.750168 2.05 0.041 .5089411 23.06709 + 405 | 27.82896 7.196636 3.87 0.000 13.71261 41.94531 + 498 | 17.75372 6.591376 2.69 0.007 4.824598 30.68284 + 499 | 7.895884 5.355451 1.47 0.141 -2.608945 18.40071 + 500 | 10.71158 8.620359 1.24 0.214 -6.197438 27.62059 + 501 | 4.434132 5.147555 0.86 0.389 -5.662904 14.53117 + 502 | 5.611533 5.21131 1.08 0.282 -4.610559 15.83363 + 503 | 6.201419 4.519778 1.37 0.170 -2.664219 15.06706 + 504 | -2.805446 4.627092 -0.61 0.544 -11.88158 6.270691 + 505 | 8.563199 5.265799 1.63 0.104 -1.765776 18.89217 + 506 | 7.886618 6.363408 1.24 0.215 -4.59534 20.36858 + 508 | 7.840551 5.606096 1.40 0.162 -3.155923 18.83702 + 529 | 13.07789 6.038917 2.17 0.030 1.232429 24.92335 + 530 | 9.334976 4.544749 2.05 0.040 .4203559 18.2496 + 599 | 9.994298 7.667413 1.30 0.193 -5.045492 25.03409 + 600 | 3.121297 5.338538 0.58 0.559 -7.350356 13.59295 + 601 | 15.8032 4.633333 3.41 0.001 6.714817 24.89158 + 602 | 13.03469 4.841376 2.69 0.007 3.538228 22.53115 + 603 | 11.47449 6.714633 1.71 0.088 -1.696405 24.64538 + 604 | 14.23407 8.969175 1.59 0.113 -3.359159 31.82729 + 606 | 8.429976 6.369925 1.32 0.186 -4.064764 20.92472 + 607 | 19.73582 5.506572 3.58 0.000 8.934568 30.53708 + 609 | 15.46399 6.975277 2.22 0.027 1.78184 29.14614 + 698 | 14.84794 13.72781 1.08 0.280 -12.07945 41.77534 + 699 | 9.025489 6.741009 1.34 0.181 -4.197141 22.24812 + 700 | 13.64492 5.362589 2.54 0.011 3.126089 24.16375 + 701 | 8.561153 4.757138 1.80 0.072 -.7700714 17.89238 + 703 | 14.92577 5.122647 2.91 0.004 4.877595 24.97395 + 704 | 6.83216 4.782984 1.43 0.153 -2.549763 16.21408 + 705 | 1.656726 4.736903 0.35 0.727 -7.634807 10.94826 + 707 | 21.8446 7.398875 2.95 0.003 7.331556 36.35765 + 708 | 7.597206 7.618763 1.00 0.319 -7.347157 22.54157 + 709 | 17.60504 4.963902 3.55 0.000 7.868242 27.34184 + 710 | 15.29004 4.9896 3.06 0.002 5.502839 25.07725 + 711 | 14.02059 5.230988 2.68 0.007 3.759901 24.28128 + 798 | 19.00581 7.16417 2.65 0.008 4.953145 33.05848 + 799 | 10.12516 7.381793 1.37 0.170 -4.354383 24.6047 + 800 | 6.856184 5.381872 1.27 0.203 -3.70047 17.41284 + 801 | 9.970436 5.658342 1.76 0.078 -1.128519 21.06939 + 802 | 9.900293 5.077253 1.95 0.051 -.0588446 19.85943 + 803 | 9.4728 4.646543 2.04 0.042 .3585089 18.58709 + 805 | 10.75245 5.979229 1.80 0.072 -.9759275 22.48084 + 806 | 10.13763 4.907774 2.07 0.039 .5109263 19.76433 + 807 | 13.54689 5.587699 2.42 0.015 2.586505 24.50728 + 898 | 3.670814 7.31716 0.50 0.616 -10.68195 18.02358 + 899 | 5.931453 11.8316 0.50 0.616 -17.27648 29.13939 + 1000 | 10.55885 5.205065 2.03 0.043 .3490067 20.76869 + 1001 | 21.39789 5.765088 3.71 0.000 10.08955 32.70623 + 1002 | 13.27098 4.13231 3.21 0.001 5.165363 21.37659 + 1003 | 13.82654 4.603226 3.00 0.003 4.797218 22.85587 + 1005 | 14.81151 5.712541 2.59 0.010 3.606239 26.01677 + 1006 | 14.4721 5.171372 2.80 0.005 4.328345 24.61585 + 1007 | 14.82589 4.798608 3.09 0.002 5.413324 24.23846 + 1010 | 15.90973 9.540444 1.67 0.096 -2.804051 34.62351 + 1098 | 15.31768 6.965177 2.20 0.028 1.65534 28.98002 + 1099 | 9.568722 15.29554 0.63 0.532 -20.43379 39.57123 + 1200 | 9.06444 5.838455 1.55 0.121 -2.387812 20.51669 + 1201 | 17.82957 5.100928 3.50 0.000 7.823996 27.83515 + 1202 | 13.62472 6.704081 2.03 0.042 .4745277 26.77492 + 1203 | 4.216108 4.706724 0.90 0.371 -5.016229 13.44845 + 1204 | 7.273604 4.657701 1.56 0.119 -1.862573 16.40978 + 1205 | 9.70356 4.998436 1.94 0.052 -.1009761 19.5081 + 1206 | 6.722443 5.729694 1.17 0.241 -4.516471 17.96136 + 1207 | 13.43656 5.28733 2.54 0.011 3.065358 23.80777 + 1208 | 14.1721 4.754246 2.98 0.003 4.846544 23.49765 + 1209 | 17.50679 4.631208 3.78 0.000 8.422575 26.591 + 1210 | 7.788308 4.753964 1.64 0.102 -1.53669 17.11331 + 1211 | 12.57732 5.506821 2.28 0.023 1.775577 23.37906 + 1299 | -.2241864 5.860061 -0.04 0.969 -11.71882 11.27045 + 1300 | 2.102717 5.273486 0.40 0.690 -8.241336 12.44677 + 1301 | 19.87167 6.967991 2.85 0.004 6.203808 33.53953 + 1302 | 6.616879 5.712569 1.16 0.247 -4.588444 17.8222 + 1303 | 5.73992 4.516596 1.27 0.204 -3.119477 14.59932 + 1304 | 14.92374 5.668026 2.63 0.009 3.805793 26.04169 + 1305 | 12.12767 6.351945 1.91 0.056 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3.10 0.002 6.00596 26.71555 + 1520 | 11.89826 5.243489 2.27 0.023 1.613043 22.18347 + 1521 | 3.223064 4.586632 0.70 0.482 -5.77371 12.21984 + 1522 | 20.93145 5.17548 4.04 0.000 10.77964 31.08327 + 1523 | 11.49979 4.852773 2.37 0.018 1.980972 21.0186 + 1524 | -6.77688 5.448713 -1.24 0.214 -17.46464 3.910884 + 1525 | 10.04151 5.225203 1.92 0.055 -.2078305 20.29086 + 1526 | 21.98352 5.217992 4.21 0.000 11.74832 32.21872 + 1599 | 14.97758 5.706011 2.62 0.009 3.785124 26.17004 + 1600 | 9.575122 5.395777 1.77 0.076 -1.008807 20.15905 + 1602 | 6.722869 8.107421 0.83 0.407 -9.180006 22.62574 + 1603 | 6.987432 5.720229 1.22 0.222 -4.232916 18.20778 + 1604 | 11.23531 6.753686 1.66 0.096 -2.012183 24.48281 + 1605 | 13.47405 5.937973 2.27 0.023 1.826595 25.12151 + 1606 | 18.42271 7.252991 2.54 0.011 4.195815 32.6496 + 1608 | 16.02951 4.69991 3.41 0.001 6.810536 25.24848 + 1609 | 20.46801 4.686654 4.37 0.000 11.27504 29.66098 + 1610 | 9.008069 7.166693 1.26 0.209 -5.049548 23.06569 + 1611 | 13.22195 5.473974 2.42 0.016 2.484632 23.95926 + 1612 | 15.21037 5.661165 2.69 0.007 4.10588 26.31487 + 1614 | 2.549468 6.372855 0.40 0.689 -9.951019 15.04996 + 1615 | 10.48593 4.928319 2.13 0.034 .8189281 20.15293 + 1616 | 8.177841 5.344337 1.53 0.126 -2.305187 18.66087 + 1617 | 15.90355 7.31111 2.18 0.030 1.562656 30.24445 + 1619 | 16.4629 7.763189 2.12 0.034 1.235246 31.69056 + 1620 | 23.59613 7.910992 2.98 0.003 8.078556 39.11371 + 1698 | 7.226289 7.208272 1.00 0.316 -6.912887 21.36546 + 1699 | 22.08934 5.871068 3.76 0.000 10.57312 33.60556 + 1700 | 9.680807 7.070258 1.37 0.171 -4.187651 23.54926 + 1701 | 13.67029 6.101197 2.24 0.025 1.702662 25.63791 + 1704 | 12.55847 6.753315 1.86 0.063 -.6883004 25.80524 + 1705 | 9.855282 13.21672 0.75 0.456 -16.0696 35.78016 + 1706 | 12.03122 4.970198 2.42 0.016 2.282072 21.78036 + 1707 | 13.31627 5.098029 2.61 0.009 3.316381 23.31616 + 1708 | 13.15252 6.767341 1.94 0.052 -.1217621 26.4268 + 1709 | 15.33736 5.345188 2.87 0.004 4.85266 25.82205 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2.06 0.040 .9949104 42.03082 + 1910 | 15.78444 12.62385 1.25 0.211 -8.977493 40.54638 + 1911 | 18.33287 10.60746 1.73 0.084 -2.473871 39.13962 + 1912 | -9.43346 4.784635 -1.97 0.049 -18.81862 -.0482976 + 1914 | 18.64418 7.076138 2.63 0.009 4.76419 32.52418 + 1915 | 23.25934 7.868316 2.96 0.003 7.825469 38.6932 + 1919 | 14.99885 6.22137 2.41 0.016 2.795507 27.2022 + 1920 | 6.365961 5.718806 1.11 0.266 -4.851596 17.58352 + 1925 | 23.78002 6.238371 3.81 0.000 11.54333 36.01671 + 1926 | 1.79749 5.469736 0.33 0.742 -8.93151 12.52649 + 1927 | 5.496262 5.566152 0.99 0.324 -5.421861 16.41439 + 1929 | 3.26592 5.656835 0.58 0.564 -7.83008 14.36192 + 1999 | 3.934193 13.78349 0.29 0.775 -23.10241 30.9708 + 2000 | 5.474957 4.544251 1.20 0.228 -3.438685 14.3886 + 2001 | 5.220064 4.886898 1.07 0.286 -4.365688 14.80582 + 2002 | 5.683206 4.617186 1.23 0.219 -3.3735 14.73991 + 2003 | 12.65069 5.216525 2.43 0.015 2.418374 22.88302 + 2004 | 11.98728 4.730469 2.53 0.011 2.708364 21.26619 + 2005 | 4.899504 8.45453 0.58 0.562 -11.68423 21.48324 + 2006 | 24.84331 4.876236 5.09 0.000 15.27847 34.40815 + 2007 | 2.258044 4.94025 0.46 0.648 -7.432359 11.94845 + 2008 | 21.50811 4.604264 4.67 0.000 12.47675 30.53947 + 2009 | 3.911122 5.519363 0.71 0.479 -6.915222 14.73747 + 2011 | 6.797885 4.525771 1.50 0.133 -2.079509 15.67528 + 2012 | 2.528143 4.587923 0.55 0.582 -6.471163 11.52745 + 2013 | 9.792687 9.796461 1.00 0.318 -9.423275 29.00865 + 2014 | 9.772253 5.64097 1.73 0.083 -1.292627 20.83713 + 2015 | 2.806061 6.64352 0.42 0.673 -10.22534 15.83746 + 2030 | 4.023591 6.43757 0.63 0.532 -8.603835 16.65102 + 2099 | 12.28085 6.48238 1.89 0.058 -.4344781 24.99617 + 2100 | 3.726039 5.183322 0.72 0.472 -6.441155 13.89323 + 2101 | 18.4928 4.562329 4.05 0.000 9.543696 27.4419 + 2102 | 14.80192 4.743518 3.12 0.002 5.49741 24.10643 + 2103 | 6.675038 4.541067 1.47 0.142 -2.232359 15.58243 + 2104 | 9.107308 4.575003 1.99 0.047 .1333445 18.08127 + 2105 | 18.70738 6.338035 2.95 0.003 6.27519 31.13957 + 2199 | 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0.061 -2.669662 .0607692 + house_mmf | -.6988014 2.036677 -0.34 0.732 -4.693785 3.296182 + house_pocs | 3.532773 1.811152 1.95 0.051 -.0198396 7.085385 + house_pwt | 1.781051 1.833431 0.97 0.331 -1.815263 5.377364 + house_rules | -3.865263 1.1056 -3.50 0.000 -6.03392 -1.696605 + house_sst | 2.891294 3.975265 0.73 0.467 -4.906271 10.68886 + house_smallbusi | 9.483605 4.229018 2.24 0.025 1.188298 17.77891 + house_soc | -4.420987 3.186908 -1.39 0.166 -10.67217 1.830199 + house_veterans | 4.815895 1.556146 3.09 0.002 1.763482 7.868309 + house_waysandmeans | -.3320391 .6174914 -0.54 0.591 -1.543261 .8791832 +house_naturalresources | -.9934846 1.555453 -0.64 0.523 -4.044539 2.05757 + house_bfs | -.6242094 1.066916 -0.59 0.559 -2.716987 1.468569 + house_eeo | -7.173893 1.698156 -4.22 0.000 -10.50486 -3.842926 + house_govreform | 1.405095 1.018904 1.38 0.168 -.5935071 3.403697 + house_ir | 3.679568 1.573719 2.34 0.020 .5926857 6.76645 + house_natsecur | -.2226981 1.96841 -0.11 0.910 -4.083775 3.638378 + house_oversight | -1.011138 1.490404 -0.68 0.498 -3.934595 1.91232 + house_resources | -5.993142 1.078027 -5.56 0.000 -8.107713 -3.87857 + house_science | 3.312794 1.804954 1.84 0.067 -.2276619 6.853249 + house_transp | 1.5686 1.216826 1.29 0.198 -.8182285 3.955429 + house_homeland | -1.798493 2.049504 -0.88 0.380 -5.818638 2.221652 + sponsor_democrat_l1 | 0 (omitted) + sponsor_rookie_l1 | .9110877 .901289 1.01 0.312 -.8568095 2.678985 + sponsor_tenure_run_l1 | .5000365 .1076821 4.64 0.000 .2888157 .7112572 + sponsor_age_l1 | -.0194482 .0320028 -0.61 0.543 -.0822223 .043326 + leader_l1 | -1.242365 .8161647 -1.52 0.128 -2.843289 .3585595 + ivycoll_l1 | -.0021863 .9661071 -0.00 0.998 -1.897226 1.892853 + black_l1 | .8234819 3.481082 0.24 0.813 -6.004733 7.651697 + occ0_l1 | 1.800727 .938051 1.92 0.055 -.0392794 3.640734 + occ1_l1 | .1731569 1.167797 0.15 0.882 -2.117501 2.463815 + occ2_l1 | 1.114516 .8340219 1.34 0.182 -.521435 2.750468 + occ3_l1 | -2.53841 1.086776 -2.34 0.020 -4.670143 -.4066769 + occ4_l1 | .5936268 .7538512 0.79 0.431 -.885068 2.072322 + borninstate_l1 | .1302924 .5670969 0.23 0.818 -.9820799 1.242665 + tot_bills | -.0651693 .0274387 -2.38 0.018 -.1189908 -.0113478 + NE | 3.31754 .8971136 3.70 0.000 1.557833 5.077247 + MW | .9427785 .7195439 1.31 0.190 -.4686218 2.354179 + WE | -1.145142 .9173969 -1.25 0.212 -2.944635 .6543509 + pct_black | -1.032016 3.911701 -0.26 0.792 -8.704898 6.640867 + pct_urban | 4.568941 1.954011 2.34 0.020 .7361084 8.401774 + pct_for_born | -.3679973 7.828675 -0.05 0.963 -15.72411 14.98811 + pct_age_over65 | 22.87836 7.945814 2.88 0.004 7.29248 38.46424 + lninc | .0012423 1.995111 0.00 1.000 -3.91221 3.914694 + lnpden | .0096345 .3284861 0.03 0.977 -.6346978 .6539669 + _cons | -2.397086 19.89917 -0.12 0.904 -41.42972 36.63555 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,526 1 0 1 1 + + +j = 2 k = 1 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female_l1 if tag_bill==1 & sponsor_female==0, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5144 +----------------------+---------------------- NN matches = 3 + Number of obs | 4450 694 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of MV1_female_l1 | 99.716 73.923 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 11.87532 21.08255 .563277 +---------------------------------------------- +reg pct_cosponsors_opposite sponsor_female_l1 i.v2 MV1_female_l1 female_l1XMV1_female_l1 if tag_bill==1 & sponsor_female==0 & sample==1 & abs(MV1_female_l1)<=11.875 +> 31655936577, robust cluster(group_sponsor) + +Linear regression Number of obs = 1,311 + F(10, 90) = 4.09 + Prob > F = 0.0001 + R-squared = 0.0469 + Root MSE = 22.255 + + (Std. Err. adjusted for 91 clusters in group_sponsor) +----------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_opposite | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------+---------------------------------------------------------------- + sponsor_female_l1 | 2.572331 4.196079 0.61 0.541 -5.763912 10.90857 + | + v2 | + 103 | 3.29295 3.671758 0.90 0.372 -4.001637 10.58754 + 104 | -4.236777 2.839349 -1.49 0.139 -9.87764 1.404085 + 105 | 6.610221 4.141914 1.60 0.114 -1.618414 14.83885 + 106 | 4.586203 3.049782 1.50 0.136 -1.472722 10.64513 + 108 | 8.077597 2.852595 2.83 0.006 2.41042 13.74477 + 109 | 10.12731 3.90415 2.59 0.011 2.371036 17.88359 + 110 | -2.361723 3.008664 -0.78 0.435 -8.338958 3.615513 + | + MV1_female_l1 | -.3238634 .3105404 -1.04 0.300 -.9408061 .2930793 +female_l1XMV1_female_l1 | -.0731266 .6180926 -0.12 0.906 -1.301075 1.154822 + _cons | 11.76347 2.904336 4.05 0.000 5.993497 17.53344 +----------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 91 1 0 1 1 + + +j = 2 k = 2 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female_l1 if sponsor_party_l1==100 & tag_bill==1 & sponsor_female==0, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 1870 +----------------------+---------------------- NN matches = 3 + Number of obs | 1347 523 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of MV1_female_l1 | 99.685 73.923 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 9.725593 22.36827 .4347942 +---------------------------------------------- +reg pct_cosponsors_opposite sponsor_female_l1 i.v2 MV1_female_l1 female_l1XMV1_female_l1 if sponsor_party_l1==100 & tag_bill==1 & sponsor_female==0 & sample==1 & ab +> s(MV1_female_l1)<=9.725592631114102, robust cluster(group_sponsor) + +Linear regression Number of obs = 449 + F(10, 26) = 1.92 + Prob > F = 0.0890 + R-squared = 0.0396 + Root MSE = 22.203 + + (Std. Err. adjusted for 27 clusters in group_sponsor) +----------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_opposite | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------+---------------------------------------------------------------- + sponsor_female_l1 | -9.411021 6.879796 -1.37 0.183 -23.55264 4.730602 + | + v2 | + 103 | -5.743544 4.510766 -1.27 0.214 -15.01556 3.528469 + 104 | -8.698072 5.321018 -1.63 0.114 -19.63558 2.239437 + 105 | 5.251768 5.734904 0.92 0.368 -6.536496 17.04003 + 106 | -1.784335 4.832338 -0.37 0.715 -11.71735 8.148678 + 108 | 1.510673 4.344171 0.35 0.731 -7.418898 10.44024 + 109 | 1.16023 8.795389 0.13 0.896 -16.91895 19.23941 + 110 | -.2772161 4.899743 -0.06 0.955 -10.34878 9.794351 + | + MV1_female_l1 | .9254558 .9419821 0.98 0.335 -1.010816 2.861728 +female_l1XMV1_female_l1 | .335043 1.478594 0.23 0.823 -2.704251 3.374337 + _cons | 22.00646 5.063852 4.35 0.000 11.59757 32.41536 +----------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 27 1 0 1 1 + + +j = 2 k = 3 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female_l1 if sponsor_party_l1==200 & tag_bill==1 & sponsor_female==0, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 3274 +----------------------+---------------------- NN matches = 3 + Number of obs | 3103 171 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of MV1_female_l1 | 78.154 29.857 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 18.39098 27.97511 .6574051 +---------------------------------------------- +reg pct_cosponsors_opposite sponsor_female_l1 i.v2 MV1_female_l1 female_l1XMV1_female_l1 if sponsor_party_l1==200 & tag_bill==1 & sponsor_female==0 & sample==1 & ab +> s(MV1_female_l1)<=18.39097926113003, robust cluster(group_sponsor) + +Linear regression Number of obs = 1,331 + F(10, 94) = 6.65 + Prob > F = 0.0000 + R-squared = 0.0731 + Root MSE = 23.049 + + (Std. Err. adjusted for 95 clusters in group_sponsor) +----------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_opposite | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------+---------------------------------------------------------------- + sponsor_female_l1 | -5.720846 8.996761 -0.64 0.526 -23.58413 12.14243 + | + v2 | + 103 | 10.55248 5.532052 1.91 0.060 -.4315422 21.5365 + 104 | 1.665644 3.6827 0.45 0.652 -5.646443 8.977732 + 105 | .4039099 4.980812 0.08 0.936 -9.48561 10.29343 + 106 | 7.509132 3.257192 2.31 0.023 1.041901 13.97636 + 108 | 16.33893 5.025349 3.25 0.002 6.360979 26.31687 + 109 | 12.43374 3.483772 3.57 0.001 5.516625 19.35085 + 110 | -3.442981 3.405684 -1.01 0.315 -10.20505 3.319084 + | + MV1_female_l1 | -.3696712 .159231 -2.32 0.022 -.685828 -.0535144 +female_l1XMV1_female_l1 | .6352435 .601395 1.06 0.294 -.5588404 1.829327 + _cons | 9.219292 3.128103 2.95 0.004 3.00837 15.43021 +----------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 95 1 0 1 1 + + +j = 3 k = 1 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female_l1 if tag_bill==1 & sponsor_female==0, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5144 +----------------------+---------------------- NN matches = 3 + Number of obs | 4450 694 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of MV1_female_l1 | 99.716 73.923 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 11.87532 21.08255 .563277 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female_l1)) +(57,320 missing values generated) +(61,660 missing values generated) +(4,340 real changes made) +reg pct_cosponsors_opposite sponsor_female_l1 i.v2 MV1_female_l1 female_l1XMV1_female_l1 i.minor house_* [aw=wt] if tag_bill==1 & sponsor_female==0 & sample==1 & ab +> s(MV1_female_l1)<=11.87531655936577, robust cluster(group_sponsor) +(sum of wgt is 2,671.4113162756) +note: house_dc omitted because of collinearity +note: house_soc omitted because of collinearity + +Linear regression Number of obs = 1,311 + F(89, 90) = . + Prob > F = . + R-squared = 0.4234 + Root MSE = 19.084 + + (Std. Err. adjusted for 91 clusters in group_sponsor) +----------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_opposite | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------+---------------------------------------------------------------- + sponsor_female_l1 | 3.792995 3.53786 1.07 0.287 -3.235581 10.82157 + | + v2 | + 103 | -2.15774 2.941127 -0.73 0.465 -8.000801 3.685322 + 104 | -7.279066 3.573191 -2.04 0.045 -14.37783 -.180298 + 105 | .4876459 3.751721 0.13 0.897 -6.965804 7.941095 + 106 | -1.605084 2.925988 -0.55 0.585 -7.41807 4.207902 + 108 | 5.068507 3.316891 1.53 0.130 -1.521075 11.65809 + 109 | 5.206245 4.603013 1.13 0.261 -3.938444 14.35093 + 110 | .031309 2.668311 0.01 0.991 -5.269757 5.332375 + | + MV1_female_l1 | .0952016 .2756005 0.35 0.731 -.452327 .6427302 +female_l1XMV1_female_l1 | -1.279951 .6027713 -2.12 0.036 -2.477462 -.082441 + | + minor | + 101 | -5.54472 5.465999 -1.01 0.313 -16.40388 5.314442 + 104 | 12.5398 6.208523 2.02 0.046 .205485 24.87412 + 105 | 18.8101 9.089276 2.07 0.041 .7526661 36.86753 + 107 | 6.558098 5.424514 1.21 0.230 -4.218647 17.33484 + 108 | -1.002013 3.468262 -0.29 0.773 -7.892321 5.888296 + 200 | 4.735865 5.151091 0.92 0.360 -5.497677 14.96941 + 202 | 1.728957 6.08373 0.28 0.777 -10.35744 13.81535 + 206 | 8.825146 6.708898 1.32 0.192 -4.503252 22.15354 + 207 | 5.465229 5.245464 1.04 0.300 -4.955801 15.88626 + 208 | 32.0718 26.78702 1.20 0.234 -21.14528 85.28889 + 209 | -5.54472 5.465999 -1.01 0.313 -16.40388 5.314442 + 300 | 8.400064 10.54 0.80 0.428 -12.53948 29.33961 + 301 | 10.21278 8.592958 1.19 0.238 -6.858634 27.28419 + 302 | 14.82702 8.209599 1.81 0.074 -1.482785 31.13682 + 321 | -1.545302 4.703784 -0.33 0.743 -10.89019 7.799586 + 322 | 35.07545 7.096089 4.94 0.000 20.97784 49.17307 + 323 | 48.00483 6.113298 7.85 0.000 35.85969 60.14996 + 324 | -1.430942 6.597907 -0.22 0.829 -14.53884 11.67695 + 325 | 39.51748 15.29126 2.58 0.011 9.138721 69.89625 + 331 | 45.59709 8.791858 5.19 0.000 28.13053 63.06365 + 332 | 47.4598 7.544676 6.29 0.000 32.47099 62.44862 + 333 | 78.83441 5.520805 14.28 0.000 67.86637 89.80245 + 334 | 52.00342 6.619256 7.86 0.000 38.85312 65.15373 + 335 | 6.003357 7.771528 0.77 0.442 -9.43614 21.44285 + 336 | 46.90151 8.51214 5.51 0.000 29.99066 63.81236 + 341 | 72.11193 7.90712 9.12 0.000 56.40306 87.82081 + 343 | -.0465241 9.926034 -0.00 0.996 -19.76632 19.67328 + 398 | 26.80121 9.06082 2.96 0.004 8.800307 44.80211 + 399 | 48.20382 5.724684 8.42 0.000 36.83074 59.57691 + 400 | 38.84092 10.08381 3.85 0.000 18.80767 58.87417 + 401 | 9.097027 11.10652 0.82 0.415 -12.96801 31.16207 + 402 | 23.38809 7.206028 3.25 0.002 9.07206 37.70413 + 403 | 3.196291 9.875818 0.32 0.747 -16.42374 22.81633 + 404 | 1.827932 6.596288 0.28 0.782 -11.27674 14.93261 + 498 | 46.93516 5.517481 8.51 0.000 35.97372 57.8966 + 499 | 25.97829 5.314409 4.89 0.000 15.42028 36.53629 + 501 | 11.04711 4.947951 2.23 0.028 1.217139 20.87708 + 502 | 5.493098 5.799205 0.95 0.346 -6.028034 17.01423 + 503 | 11.15522 4.965509 2.25 0.027 1.290372 21.02007 + 504 | 6.403652 4.782288 1.34 0.184 -3.097198 15.9045 + 505 | 1.968047 4.831274 0.41 0.685 -7.630121 11.56622 + 506 | 8.818524 7.230959 1.22 0.226 -5.547037 23.18409 + 508 | 20.11758 17.76329 1.13 0.260 -15.17229 55.40746 + 530 | 12.14429 5.242982 2.32 0.023 1.728193 22.56039 + 600 | 3.883748 4.633576 0.84 0.404 -5.321659 13.08916 + 601 | 45.5442 8.572501 5.31 0.000 28.51343 62.57497 + 602 | 4.317658 5.267507 0.82 0.415 -6.147164 14.78248 + 604 | 22.09906 16.87406 1.31 0.194 -11.4242 55.62233 + 606 | 3.972657 5.314999 0.75 0.457 -6.586515 14.53183 + 607 | 31.35044 13.98432 2.24 0.027 3.568159 59.13273 + 698 | 5.983665 9.47358 0.63 0.529 -12.83726 24.80459 + 699 | -1.109602 4.786334 -0.23 0.817 -10.61849 8.399287 + 700 | 25.10462 11.73761 2.14 0.035 1.785805 48.42344 + 701 | -6.110368 6.384924 -0.96 0.341 -18.79513 6.574399 + 703 | .6368419 6.356611 0.10 0.920 -11.99167 13.26536 + 704 | 12.99782 7.207509 1.80 0.075 -1.32115 27.3168 + 705 | 44.4557 10.87267 4.09 0.000 22.85525 66.05616 + 707 | -2.955866 6.348874 -0.47 0.643 -15.56901 9.657279 + 709 | 31.32299 8.413121 3.72 0.000 14.60886 48.03713 + 710 | 27.48232 7.384584 3.72 0.000 12.81156 42.15308 + 711 | 15.88976 12.55337 1.27 0.209 -9.049695 40.82922 + 798 | -2.833504 4.366779 -0.65 0.518 -11.50887 5.841864 + 800 | -4.573715 5.743401 -0.80 0.428 -15.98398 6.836552 + 801 | 18.73038 7.39167 2.53 0.013 4.045533 33.41522 + 802 | 8.564831 6.362609 1.35 0.182 -4.075602 21.20526 + 803 | 16.38639 7.387984 2.22 0.029 1.708866 31.06391 + 805 | 11.06957 7.260735 1.52 0.131 -3.355148 25.49429 + 806 | 19.40785 10.03489 1.93 0.056 -.5282085 39.34392 + 807 | 14.86703 9.232924 1.61 0.111 -3.47578 33.20985 + 898 | 5.983665 9.47358 0.63 0.529 -12.83726 24.80459 + 1000 | 32.21045 17.35139 1.86 0.067 -2.261113 66.68202 + 1001 | 3.055136 5.902005 0.52 0.606 -8.670227 14.7805 + 1002 | 9.583651 10.39736 0.92 0.359 -11.07251 30.23982 + 1003 | 13.88296 11.34938 1.22 0.224 -8.664559 36.43049 + 1005 | 8.272068 12.72177 0.65 0.517 -17.00195 33.54609 + 1006 | 12.81228 7.612497 1.68 0.096 -2.311273 27.93584 + 1007 | 5.266217 4.856914 1.08 0.281 -4.382889 14.91532 + 1010 | 23.1297 16.81954 1.38 0.172 -10.28526 56.54465 + 1099 | -2.128152 8.067563 -0.26 0.793 -18.15577 13.89947 + 1201 | 8.776836 5.049257 1.74 0.086 -1.254394 18.80807 + 1202 | 9.805324 5.256167 1.87 0.065 -.636969 20.24762 + 1203 | 5.749935 5.255523 1.09 0.277 -4.691079 16.19095 + 1204 | 31.61944 8.752681 3.61 0.000 14.23071 49.00817 + 1205 | 17.88327 11.11237 1.61 0.111 -4.193384 39.95992 + 1206 | 26.29374 4.388332 5.99 0.000 17.57555 35.01192 + 1207 | 15.81165 7.363224 2.15 0.034 1.183316 30.43998 + 1208 | 48.97083 14.60577 3.35 0.001 19.95392 77.98773 + 1209 | 20.83575 8.223003 2.53 0.013 4.499322 37.17218 + 1210 | 21.64537 8.039857 2.69 0.008 5.672791 37.61795 + 1211 | 53.75717 9.705429 5.54 0.000 34.47564 73.0387 + 1301 | 40.62222 15.51378 2.62 0.010 9.801393 71.44306 + 1302 | 1.957687 5.485446 0.36 0.722 -8.94011 12.85548 + 1303 | 14.72806 9.679777 1.52 0.132 -4.502505 33.95863 + 1304 | 8.890401 6.735458 1.32 0.190 -4.490761 22.27156 + 1400 | 23.16943 5.90361 3.92 0.000 11.44088 34.89798 + 1401 | 19.96454 12.56622 1.59 0.116 -5.000462 44.92954 + 1403 | -3.30601 3.712742 -0.89 0.376 -10.68202 4.069999 + 1404 | -7.835434 3.27933 -2.39 0.019 -14.35039 -1.320473 + 1405 | 11.39023 12.03316 0.95 0.346 -12.51575 35.2962 + 1406 | 41.7955 11.11667 3.76 0.000 19.71028 63.88071 + 1407 | 16.37775 15.03662 1.09 0.279 -13.49511 46.25062 + 1408 | 1.607548 5.564342 0.29 0.773 -9.446988 12.66208 + 1409 | .9447425 7.498664 0.13 0.900 -13.95266 15.84215 + 1410 | 18.00767 18.88012 0.95 0.343 -19.50098 55.51631 + 1500 | 6.243873 13.5782 0.46 0.647 -20.7316 33.21934 + 1501 | 18.70418 6.357016 2.94 0.004 6.074854 31.3335 + 1502 | 21.37697 10.55428 2.03 0.046 .4090392 42.34489 + 1504 | 42.14387 7.930882 5.31 0.000 26.38779 57.89995 + 1505 | 15.64189 6.605083 2.37 0.020 2.519735 28.76404 + 1520 | 35.43299 5.02439 7.05 0.000 25.45116 45.41482 + 1521 | 2.429171 12.20619 0.20 0.843 -21.82055 26.67889 + 1523 | 62.77777 3.148578 19.94 0.000 56.52257 69.03297 + 1525 | 24.09569 11.05837 2.18 0.032 2.126309 46.06508 + 1526 | 3.888717 17.03453 0.23 0.820 -29.95335 37.73078 + 1599 | 32.25967 10.29974 3.13 0.002 11.79743 52.7219 + 1600 | -30.97892 8.712646 -3.56 0.001 -48.28811 -13.66972 + 1602 | 43.251 5.91785 7.31 0.000 31.49416 55.00785 + 1605 | 12.31136 11.52387 1.07 0.288 -10.58282 35.20554 + 1606 | 32.40148 6.951815 4.66 0.000 18.59049 46.21247 + 1608 | 11.97466 7.704888 1.55 0.124 -3.332446 27.28176 + 1609 | 21.64019 7.819566 2.77 0.007 6.105255 37.17512 + 1611 | 14.25332 16.7053 0.85 0.396 -18.93469 47.44132 + 1612 | -1.898751 6.126892 -0.31 0.757 -14.07089 10.27339 + 1614 | -14.12079 7.558713 -1.87 0.065 -29.13749 .8959123 + 1615 | 20.33192 12.56656 1.62 0.109 -4.633739 45.29758 + 1616 | 12.05087 8.371361 1.44 0.153 -4.580303 28.68204 + 1617 | 34.256 6.049146 5.66 0.000 22.23832 46.27369 + 1619 | -.773432 6.728211 -0.11 0.909 -14.1402 12.59333 + 1620 | 37.81735 6.27893 6.02 0.000 25.34316 50.29154 + 1698 | -5.753538 6.234144 -0.92 0.359 -18.13875 6.631677 + 1700 | 48.27672 5.817414 8.30 0.000 36.71941 59.83402 + 1701 | -4.224111 7.230286 -0.58 0.561 -18.58834 10.14011 + 1704 | -2.429727 6.933476 -0.35 0.727 -16.20429 11.34483 + 1706 | 18.52686 10.34257 1.79 0.077 -2.020456 39.07417 + 1707 | 29.34766 7.876808 3.73 0.000 13.69901 44.99631 + 1708 | 61.07245 7.005175 8.72 0.000 47.15545 74.98946 + 1709 | 1.495233 6.668453 0.22 0.823 -11.75281 14.74328 + 1798 | 8.35457 12.09584 0.69 0.492 -15.67592 32.38506 + 1800 | 14.73057 8.307595 1.77 0.080 -1.773921 31.23505 + 1802 | 19.81357 8.316409 2.38 0.019 3.291573 36.33557 + 1803 | 3.087912 9.521906 0.32 0.746 -15.82902 22.00484 + 1804 | 11.42771 14.47953 0.79 0.432 -17.33841 40.19382 + 1807 | -.0772153 4.943639 -0.02 0.988 -9.898616 9.744186 + 1808 | .4281948 4.541375 0.09 0.925 -8.594039 9.450429 + 1900 | 10.87181 10.31318 1.05 0.295 -9.617125 31.36074 + 1901 | 19.05406 12.43252 1.53 0.129 -5.645314 43.75343 + 1902 | 16.57704 15.53562 1.07 0.289 -14.28718 47.44126 + 1905 | 31.38517 6.815455 4.60 0.000 17.84508 44.92526 + 1906 | 29.19666 23.13777 1.26 0.210 -16.77057 75.16389 + 1907 | 41.14289 30.06079 1.37 0.175 -18.57813 100.8639 + 1914 | -4.730969 7.221207 -0.66 0.514 -19.07716 9.615218 + 1919 | 29.05897 5.277792 5.51 0.000 18.57372 39.54423 + 1920 | 10.69623 8.219018 1.30 0.196 -5.632286 27.02474 + 1925 | 22.91898 13.92943 1.65 0.103 -4.754258 50.59223 + 1926 | -1.489822 8.870264 -0.17 0.867 -19.11215 16.13251 + 1927 | 23.16874 4.388332 5.28 0.000 14.45055 31.88692 + 1929 | 3.207638 9.934634 0.32 0.748 -16.52925 22.94452 + 2000 | 24.10955 12.06642 2.00 0.049 .1374963 48.0816 + 2001 | -7.41194 6.127796 -1.21 0.230 -19.58588 4.761997 + 2002 | 4.329133 8.351534 0.52 0.605 -12.26265 20.92091 + 2003 | 46.24821 5.164236 8.96 0.000 35.98855 56.50786 + 2004 | 21.22886 7.276171 2.92 0.004 6.773476 35.68425 + 2006 | 33.86017 6.649015 5.09 0.000 20.65074 47.06959 + 2007 | 18.71646 12.93971 1.45 0.152 -6.990528 44.42344 + 2008 | 33.40347 7.467228 4.47 0.000 18.56852 48.23843 + 2011 | 9.745132 8.243235 1.18 0.240 -6.631494 26.12176 + 2012 | 15.33429 6.318766 2.43 0.017 2.780957 27.88762 + 2013 | 36.08311 12.91677 2.79 0.006 10.42168 61.74453 + 2014 | 29.24485 16.52642 1.77 0.080 -3.587776 62.07748 + 2099 | -1.602799 11.63196 -0.14 0.891 -24.71171 21.50611 + 2100 | 5.339785 7.148283 0.75 0.457 -8.861527 19.5411 + 2101 | 18.98147 8.696832 2.18 0.032 1.703696 36.25925 + 2102 | 23.62475 8.110623 2.91 0.005 7.511581 39.73792 + 2103 | 17.80215 6.835989 2.60 0.011 4.221266 31.38304 + 2104 | 16.265 9.210524 1.77 0.081 -2.033311 34.56332 + 2105 | 62.69726 21.98965 2.85 0.005 19.01099 106.3835 + 9999 | 7.71385 5.032461 1.53 0.129 -2.284012 17.71171 + | + house_administration | -9.394161 5.278869 -1.78 0.079 -19.88155 1.093233 + house_agriculture | 3.918672 3.825083 1.02 0.308 -3.680522 11.51787 + house_appropriations | -16.75063 7.255343 -2.31 0.023 -31.16463 -2.33662 + house_armedservices | 14.027 6.08683 2.30 0.023 1.934451 26.11955 + house_budget | 1.125402 7.032932 0.16 0.873 -12.84674 15.09755 + house_dc | 0 (omitted) + house_educlabor | 1.276542 3.089289 0.41 0.680 -4.86087 7.413954 + house_energycommerce | 2.742486 3.198049 0.86 0.393 -3.610997 9.095969 + house_foreignaffairs | 5.616511 6.021479 0.93 0.353 -6.346208 17.57923 + house_governmentop | -18.78299 6.275214 -2.99 0.004 -31.24979 -6.316179 + house_intelligence | 5.459412 29.6756 0.18 0.854 -53.49635 64.41517 + house_interior | -2.727456 5.371902 -0.51 0.613 -13.39968 7.944765 + house_judiciary | -1.562497 2.711927 -0.58 0.566 -6.950213 3.825219 + house_mmf | .3872221 9.736914 0.04 0.968 -18.95686 19.7313 + house_pocs | -3.929323 6.499567 -0.60 0.547 -16.84185 8.983202 + house_pwt | 2.4084 5.347357 0.45 0.654 -8.215058 13.03186 + house_rules | -2.733013 4.608584 -0.59 0.555 -11.88877 6.422743 + house_sst | -19.54331 11.42923 -1.71 0.091 -42.24946 3.162846 + house_smallbusi | 28.37924 11.49919 2.47 0.015 5.534095 51.22439 + house_soc | 0 (omitted) + house_veterans | 2.848542 4.899292 0.58 0.562 -6.884756 12.58184 + house_waysandmeans | -3.327569 2.921576 -1.14 0.258 -9.13179 2.476652 + house_naturalresources | -6.281081 3.65462 -1.72 0.089 -13.54162 .9794598 + house_bfs | .9332109 3.863679 0.24 0.810 -6.742661 8.609083 + house_eeo | -2.890037 6.009857 -0.48 0.632 -14.82967 9.049592 + house_govreform | 2.146801 4.555262 0.47 0.639 -6.903022 11.19662 + house_ir | 7.582594 5.338519 1.42 0.159 -3.023306 18.18849 + house_natsecur | 3.460703 4.722073 0.73 0.466 -5.920518 12.84192 + house_oversight | -3.381017 6.758011 -0.50 0.618 -16.80699 10.04495 + house_resources | -7.325002 4.141672 -1.77 0.080 -15.55316 .9031534 + house_science | 7.773875 6.931831 1.12 0.265 -5.997418 21.54517 + house_transp | -3.002431 4.726576 -0.64 0.527 -12.3926 6.387737 + house_homeland | .1637086 11.79455 0.01 0.989 -23.26822 23.59564 + _cons | 2.026678 4.670391 0.43 0.665 -7.251869 11.30523 +----------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 91 1 0 1 1 + + +j = 3 k = 2 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female_l1 if sponsor_party_l1==100 & tag_bill==1 & sponsor_female==0, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 1870 +----------------------+---------------------- NN matches = 3 + Number of obs | 1347 523 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of MV1_female_l1 | 99.685 73.923 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 9.725593 22.36827 .4347942 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female_l1)) +(60,503 missing values generated) +(61,905 missing values generated) +(748 real changes made) +reg pct_cosponsors_opposite sponsor_female_l1 i.v2 MV1_female_l1 female_l1XMV1_female_l1 i.minor house_* [aw=wt] if sponsor_party_l1==100 & tag_bill==1 & sponsor_fe +> male==0 & sample==1 & abs(MV1_female_l1)<=9.725592631114102, robust cluster(group_sponsor) +(sum of wgt is 449) +note: house_dc omitted because of collinearity +note: house_intelligence omitted because of collinearity +note: house_sst omitted because of collinearity +note: house_soc omitted because of collinearity + +Linear regression Number of obs = 449 + F(25, 26) = . + Prob > F = . + R-squared = 0.5351 + Root MSE = 19.051 + + (Std. Err. adjusted for 27 clusters in group_sponsor) +----------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_opposite | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------+---------------------------------------------------------------- + sponsor_female_l1 | -4.539232 7.918498 -0.57 0.571 -20.81594 11.73747 + | + v2 | + 103 | -5.032196 5.243217 -0.96 0.346 -15.80978 5.745391 + 104 | -12.48528 5.187789 -2.41 0.023 -23.14893 -1.821628 + 105 | -5.350945 4.444037 -1.20 0.239 -14.48579 3.783904 + 106 | -.4642126 4.78237 -0.10 0.923 -10.29451 9.366089 + 108 | -2.250666 5.632715 -0.40 0.693 -13.82888 9.327546 + 109 | 2.908398 7.113136 0.41 0.686 -11.71286 17.52966 + 110 | 1.444956 4.633476 0.31 0.758 -8.079291 10.9692 + | + MV1_female_l1 | 2.17394 1.048882 2.07 0.048 .0179315 4.329949 +female_l1XMV1_female_l1 | -2.109743 1.486338 -1.42 0.168 -5.164956 .9454695 + | + minor | + 105 | 30.09987 15.66472 1.92 0.066 -2.099422 62.29917 + 107 | 12.16253 7.429156 1.64 0.114 -3.108322 27.43338 + 108 | -14.58356 14.11574 -1.03 0.311 -43.59889 14.43176 + 200 | 6.299761 16.47648 0.38 0.705 -27.56812 40.16765 + 202 | 17.28137 9.821496 1.76 0.090 -2.907001 37.46975 + 207 | 18.82373 9.314276 2.02 0.054 -.3220362 37.9695 + 208 | 62.0248 14.04757 4.42 0.000 33.14961 90.89999 + 300 | 17.79428 13.20115 1.35 0.189 -9.341075 44.92963 + 301 | 22.55063 16.40893 1.37 0.181 -11.17841 56.27968 + 302 | 24.07521 20.93778 1.15 0.261 -18.96301 67.11343 + 322 | 39.3353 15.27099 2.58 0.016 7.945335 70.72526 + 323 | 58.0288 15.30606 3.79 0.001 26.56675 89.49086 + 324 | 10.4973 17.08873 0.61 0.544 -24.62908 45.62369 + 325 | 38.23455 26.1446 1.46 0.156 -15.50644 91.97554 + 331 | 60.99178 15.70844 3.88 0.001 28.70261 93.28095 + 332 | 53.16456 16.57142 3.21 0.004 19.10151 87.22761 + 334 | 59.79755 12.34614 4.84 0.000 34.41969 85.17542 + 336 | 49.55192 25.50378 1.94 0.063 -2.871844 101.9757 + 343 | 9.328481 16.50826 0.57 0.577 -24.60474 43.2617 + 398 | -23.53437 16.70985 -1.41 0.171 -57.88197 10.81323 + 400 | 60.145 17.51745 3.43 0.002 24.13736 96.15264 + 402 | 51.7439 14.41288 3.59 0.001 22.1178 81.37001 + 403 | 14.85204 22.10654 0.67 0.508 -30.58861 60.29269 + 501 | 16.75798 9.475103 1.77 0.089 -2.718375 36.23433 + 502 | 14.76188 8.912098 1.66 0.110 -3.557198 33.08096 + 503 | 16.43347 8.376127 1.96 0.061 -.7839024 33.65085 + 504 | 22.59089 9.267098 2.44 0.022 3.542097 41.63968 + 505 | 9.55481 8.705541 1.10 0.282 -8.339685 27.44931 + 506 | 19.47306 8.57648 2.27 0.032 1.843854 37.10227 + 508 | 69.5637 14.94465 4.65 0.000 38.84454 100.2829 + 530 | 14.02835 8.804633 1.59 0.123 -4.069829 32.12653 + 600 | 18.17708 9.117614 1.99 0.057 -.5644483 36.9186 + 601 | 40.99854 7.27845 5.63 0.000 26.03747 55.95961 + 602 | 25.56284 9.157049 2.79 0.010 6.740255 44.38542 + 604 | 20.46654 14.40019 1.42 0.167 -9.133463 50.06655 + 607 | 40.30503 24.00968 1.68 0.105 -9.047568 89.65763 + 698 | -45.52782 15.01168 -3.03 0.005 -76.38477 -14.67087 + 700 | 11.8005 8.476782 1.39 0.176 -5.62378 29.22477 + 703 | 16.6728 10.81865 1.54 0.135 -5.565247 38.91085 + 704 | 29.69052 16.60222 1.79 0.085 -4.435835 63.81688 + 705 | 52.80193 23.5486 2.24 0.034 4.397091 101.2068 + 709 | 61.25912 12.75178 4.80 0.000 35.04747 87.47077 + 710 | 47.7458 13.26827 3.60 0.001 20.47249 75.01912 + 798 | -26.59594 11.67041 -2.28 0.031 -50.58482 -2.607066 + 800 | 10.48393 13.06185 0.80 0.429 -16.36509 37.33296 + 802 | 8.033818 9.970473 0.81 0.428 -12.46078 28.52842 + 803 | 26.50394 12.62811 2.10 0.046 .5464899 52.46139 + 805 | 22.70462 13.56031 1.67 0.106 -5.168997 50.57823 + 806 | 28.07903 15.74425 1.78 0.086 -4.28373 60.4418 + 807 | 5.499464 7.838322 0.70 0.489 -10.61244 21.61137 + 898 | -45.52782 15.01168 -3.03 0.005 -76.38477 -14.67087 + 1001 | 17.89854 8.859872 2.02 0.054 -.3131873 36.11027 + 1002 | 27.92 15.99318 1.75 0.093 -4.954461 60.79446 + 1003 | -17.36469 9.225362 -1.88 0.071 -36.32769 1.598316 + 1006 | 17.98026 12.1739 1.48 0.152 -7.043557 43.00408 + 1007 | 20.91104 13.81628 1.51 0.142 -7.488731 49.3108 + 1010 | 83.47301 7.930037 10.53 0.000 67.17259 99.77344 + 1202 | 22.37784 9.667859 2.31 0.029 2.50527 42.25041 + 1203 | 14.32482 8.085439 1.77 0.088 -2.295035 30.94468 + 1204 | 35.35282 18.1942 1.94 0.063 -2.045886 72.75153 + 1205 | 9.511941 9.652699 0.99 0.334 -10.32947 29.35335 + 1207 | 2.590973 8.307104 0.31 0.758 -14.48452 19.66647 + 1208 | 43.6823 17.70744 2.47 0.021 7.28413 80.08047 + 1209 | 18.35497 12.98035 1.41 0.169 -8.326523 45.03647 + 1210 | 34.50021 8.821871 3.91 0.001 16.36659 52.63382 + 1211 | 51.64727 12.93335 3.99 0.000 25.06239 78.23214 + 1301 | 51.2701 12.94085 3.96 0.001 24.66981 77.8704 + 1302 | 3.661587 8.516613 0.43 0.671 -13.84456 21.16774 + 1303 | 28.56065 14.87767 1.92 0.066 -2.020851 59.14215 + 1401 | 21.39955 14.74634 1.45 0.159 -8.911977 51.71108 + 1405 | 35.01656 14.78359 2.37 0.026 4.628448 65.40466 + 1406 | 67.97148 9.47323 7.18 0.000 48.49898 87.44399 + 1407 | -.9886496 15.84278 -0.06 0.951 -33.55395 31.57665 + 1410 | 2.903867 2.714949 1.07 0.295 -2.67679 8.484524 + 1500 | -.8018897 30.42489 -0.03 0.979 -63.34115 61.73737 + 1501 | 27.92914 6.693534 4.17 0.000 14.17038 41.68789 + 1502 | 35.29455 16.65036 2.12 0.044 1.069234 69.51986 + 1504 | 41.17172 11.39175 3.61 0.001 17.75565 64.58779 + 1505 | 27.72045 4.793083 5.78 0.000 17.86812 37.57277 + 1521 | 35.58089 29.71514 1.20 0.242 -25.49944 96.66123 + 1526 | 2.069131 13.43394 0.15 0.879 -25.54474 29.683 + 1599 | 33.86785 15.77537 2.15 0.041 1.441103 66.29459 + 1602 | 58.32995 9.789529 5.96 0.000 38.20729 78.45262 + 1605 | 19.514 24.7462 0.79 0.437 -31.35254 70.38054 + 1606 | 49.29341 11.02994 4.47 0.000 26.62105 71.96576 + 1608 | 16.54339 13.85919 1.19 0.243 -11.94458 45.03137 + 1611 | 14.45255 9.486452 1.52 0.140 -5.047132 33.95223 + 1614 | 5.06445 15.80371 0.32 0.751 -27.42054 37.54944 + 1615 | 14.1168 9.225362 1.53 0.138 -4.846207 33.0798 + 1619 | 14.48285 9.859199 1.47 0.154 -5.783027 34.74872 + 1701 | -11.41125 14.87325 -0.77 0.450 -41.98365 19.16115 + 1704 | -35.4846 12.06031 -2.94 0.007 -60.27491 -10.69428 + 1707 | 49.35489 12.87089 3.83 0.001 22.8984 75.81138 + 1708 | 75.76071 13.23609 5.72 0.000 48.55354 102.9679 + 1709 | 17.65493 9.145155 1.93 0.065 -1.143207 36.45306 + 1798 | -35.4846 12.06031 -2.94 0.007 -60.27491 -10.69428 + 1800 | 19.00165 15.23473 1.25 0.223 -12.31379 50.3171 + 1802 | 29.70318 13.20752 2.25 0.033 2.55473 56.85162 + 1803 | 24.29341 11.02994 2.20 0.037 1.621048 46.96576 + 1804 | 7.298931 7.450066 0.98 0.336 -8.014899 22.61276 + 1807 | 4.983075 7.999644 0.62 0.539 -11.46043 21.42658 + 1808 | 3.661587 8.516613 0.43 0.671 -13.84456 21.16774 + 1900 | 43.77521 13.41949 3.26 0.003 16.19105 71.35937 + 1901 | 26.63917 12.84088 2.07 0.048 .244363 53.03398 + 1906 | 66.84949 7.450066 8.97 0.000 51.53566 82.16332 + 1920 | 8.151606 15.08357 0.54 0.594 -22.85312 39.15634 + 1925 | 18.65651 14.33091 1.30 0.204 -10.80109 48.11411 + 1926 | .9043501 13.17015 0.07 0.946 -26.16728 27.97598 + 1929 | 5.581393 9.499344 0.59 0.562 -13.94479 25.10757 + 2000 | 53.73847 14.84298 3.62 0.001 23.22829 84.24864 + 2002 | 39.83544 15.73484 2.53 0.018 7.492007 72.17887 + 2006 | 70.74261 5.158714 13.71 0.000 60.13872 81.3465 + 2007 | -7.28572 12.85362 -0.57 0.576 -33.70672 19.13528 + 2008 | 39.03646 10.91019 3.58 0.001 16.61024 61.46268 + 2011 | 8.82241 12.1528 0.73 0.474 -16.15803 33.80285 + 2012 | 18.44905 8.770265 2.10 0.045 .4215105 36.47659 + 2099 | 11.54728 17.75044 0.65 0.521 -24.93928 48.03384 + 2101 | 26.64558 17.34656 1.54 0.137 -9.01078 62.30193 + 2102 | 70.14728 15.73822 4.46 0.000 37.79691 102.4976 + 2103 | 28.09316 12.13299 2.32 0.029 3.153433 53.03289 + 2104 | 36.05801 19.41199 1.86 0.075 -3.843905 75.95992 + | + house_administration | -7.513628 4.323502 -1.74 0.094 -16.40071 1.373458 + house_agriculture | -.6900226 10.62173 -0.06 0.949 -22.5233 21.14325 + house_appropriations | -6.061718 9.722308 -0.62 0.538 -26.04621 13.92277 + house_armedservices | -.2525109 16.07424 -0.02 0.988 -33.29358 32.78855 + house_budget | -24.07334 7.98371 -3.02 0.006 -40.48409 -7.662592 + house_dc | 0 (omitted) + house_educlabor | 2.367607 6.308011 0.38 0.710 -10.5987 15.33391 + house_energycommerce | 2.669808 8.906689 0.30 0.767 -15.63815 20.97777 + house_foreignaffairs | 5.580461 10.44822 0.53 0.598 -15.89616 27.05708 + house_governmentop | -13.99185 9.678149 -1.45 0.160 -33.88558 5.901866 + house_intelligence | 0 (omitted) + house_interior | -3.767378 8.59313 -0.44 0.665 -21.43081 13.89605 + house_judiciary | 3.6418 6.228522 0.58 0.564 -9.161111 16.44471 + house_mmf | .2161317 10.32924 0.02 0.983 -21.01592 21.44819 + house_pocs | 15.56922 7.418731 2.10 0.046 .3197988 30.81864 + house_pwt | 4.754559 7.896724 0.60 0.552 -11.47739 20.98651 + house_rules | -.9560872 6.664675 -0.14 0.887 -14.65552 12.74335 + house_sst | 0 (omitted) + house_smallbusi | 5.824711 30.85274 0.19 0.852 -57.594 69.24342 + house_soc | 0 (omitted) + house_veterans | 12.98199 12.35704 1.05 0.303 -12.41828 38.38225 + house_waysandmeans | 2.778859 7.202765 0.39 0.703 -12.02664 17.58435 + house_naturalresources | 1.486683 9.136084 0.16 0.872 -17.29281 20.26617 + house_bfs | 6.232773 6.293523 0.99 0.331 -6.703749 19.16929 + house_eeo | -.8914586 11.34156 -0.08 0.938 -24.20437 22.42146 + house_govreform | 3.482782 8.433635 0.41 0.683 -13.8528 20.81837 + house_ir | 11.22704 10.13981 1.11 0.278 -9.615636 32.06971 + house_natsecur | 5.981237 8.512136 0.70 0.489 -11.51571 23.47818 + house_oversight | 12.93958 9.029187 1.43 0.164 -5.620181 31.49934 + house_resources | -3.272567 9.239852 -0.35 0.726 -22.26536 15.72022 + house_science | 53.57132 12.92466 4.14 0.000 27.0043 80.13835 + house_transp | -9.620219 5.801928 -1.66 0.109 -21.54625 2.305814 + house_homeland | 22.10363 3.803933 5.81 0.000 14.28453 29.92272 + _cons | -3.506106 9.45185 -0.37 0.714 -22.93466 15.92245 +----------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 27 1 0 1 1 + + +j = 3 k = 3 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female_l1 if sponsor_party_l1==200 & tag_bill==1 & sponsor_female==0, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 3274 +----------------------+---------------------- NN matches = 3 + Number of obs | 3103 171 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of MV1_female_l1 | 78.154 29.857 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 18.39098 27.97511 .6574051 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female_l1)) +(60,897 missing values generated) +(62,200 missing values generated) +(1,303 real changes made) +reg pct_cosponsors_opposite sponsor_female_l1 i.v2 MV1_female_l1 female_l1XMV1_female_l1 i.minor house_* [aw=wt] if sponsor_party_l1==200 & tag_bill==1 & sponsor_fe +> male==0 & sample==1 & abs(MV1_female_l1)<=18.39097926113003, robust cluster(group_sponsor) +(sum of wgt is 1,082.35415494442) +note: house_dc omitted because of collinearity +note: house_intelligence omitted because of collinearity +note: house_interior omitted because of collinearity +note: house_soc omitted because of collinearity +note: house_homeland omitted because of collinearity + +Linear regression Number of obs = 691 + F(46, 47) = . + Prob > F = . + R-squared = 0.4609 + Root MSE = 20.53 + + (Std. Err. adjusted for 48 clusters in group_sponsor) +----------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_opposite | Coef. Std. Err. t P>|t| [95% Conf. Interval] +------------------------+---------------------------------------------------------------- + sponsor_female_l1 | -2.049347 5.652533 -0.36 0.719 -13.42078 9.322081 + | + v2 | + 104 | -10.91128 6.187799 -1.76 0.084 -23.35953 1.536961 + 105 | -15.85133 6.709293 -2.36 0.022 -29.34869 -2.353976 + 106 | -9.405068 6.055135 -1.55 0.127 -21.58643 2.776292 + 108 | 4.871074 6.893567 0.71 0.483 -8.996993 18.73914 + | + MV1_female_l1 | -.4999909 .359674 -1.39 0.171 -1.223562 .2235799 +female_l1XMV1_female_l1 | .3658533 .5791329 0.63 0.531 -.7992119 1.530919 + | + minor | + 104 | -58.14419 9.997379 -5.82 0.000 -78.25632 -38.03206 + 105 | -33.06994 9.919032 -3.33 0.002 -53.02446 -13.11542 + 107 | -29.68258 10.97259 -2.71 0.009 -51.75658 -7.608586 + 200 | -37.36764 12.20236 -3.06 0.004 -61.91563 -12.81965 + 207 | -28.63867 21.57742 -1.33 0.191 -72.04685 14.76951 + 208 | -44.4004 8.007519 -5.54 0.000 -60.50945 -28.29135 + 300 | -53.63273 18.20336 -2.95 0.005 -90.25317 -17.01229 + 301 | -50.91629 7.530453 -6.76 0.000 -66.06561 -35.76698 + 302 | -36.38185 9.96233 -3.65 0.001 -56.42348 -16.34023 + 321 | -43.26475 12.90766 -3.35 0.002 -69.23161 -17.29789 + 322 | -28.07352 13.05061 -2.15 0.037 -54.32796 -1.819068 + 323 | -22.76776 10.19976 -2.23 0.030 -43.28704 -2.24849 + 325 | -59.19708 8.485271 -6.98 0.000 -76.26724 -42.12692 + 331 | -38.78015 12.98238 -2.99 0.004 -64.89733 -12.66298 + 332 | -30.95206 24.7586 -1.25 0.217 -80.75993 18.8558 + 333 | -39.05805 22.41016 -1.74 0.088 -84.14147 6.025378 + 335 | -34.50167 24.55666 -1.40 0.167 -83.9033 14.89996 + 336 | -34.58192 12.67963 -2.73 0.009 -60.09004 -9.073791 + 341 | 16.19536 12.56403 1.29 0.204 -9.080213 41.47092 + 398 | -41.45197 9.344076 -4.44 0.000 -60.24983 -22.65412 + 399 | -50.30932 10.83331 -4.64 0.000 -72.10312 -28.51551 + 400 | -51.96618 12.80945 -4.06 0.000 -77.73547 -26.19689 + 401 | -40.42583 8.970696 -4.51 0.000 -58.47254 -22.37911 + 402 | -28.87397 10.67099 -2.71 0.009 -50.34124 -7.406699 + 403 | -57.18722 11.11076 -5.15 0.000 -79.53917 -34.83526 + 498 | -16.21415 9.715314 -1.67 0.102 -35.75884 3.330544 + 499 | -37.22582 10.45399 -3.56 0.001 -58.25655 -16.1951 + 500 | -9.700515 12.89741 -0.75 0.456 -35.64676 16.24573 + 501 | -33.7551 10.06355 -3.35 0.002 -54.00036 -13.50984 + 503 | -42.15572 9.614067 -4.38 0.000 -61.49673 -22.81471 + 505 | -56.17595 10.53042 -5.33 0.000 -77.36042 -34.99149 + 506 | -58.37439 10.81298 -5.40 0.000 -80.12731 -36.62147 + 508 | -43.79018 10.94174 -4.00 0.000 -65.80211 -21.77825 + 530 | -21.72976 10.20338 -2.13 0.038 -42.25632 -1.203196 + 600 | -51.63602 9.65748 -5.35 0.000 -71.06436 -32.20767 + 601 | -3.876778 21.93909 -0.18 0.860 -48.01254 40.25899 + 602 | -45.66689 9.822228 -4.65 0.000 -65.42667 -25.90712 + 607 | -37.74064 11.63747 -3.24 0.002 -61.15221 -14.32907 + 699 | -48.67911 10.48629 -4.64 0.000 -69.77481 -27.58341 + 700 | -52.95733 13.06401 -4.05 0.000 -79.23873 -26.67593 + 701 | -64.40114 9.824884 -6.55 0.000 -84.16625 -44.63602 + 703 | -45.13301 13.00416 -3.47 0.001 -71.29401 -18.97201 + 704 | -64.31741 9.354862 -6.88 0.000 -83.13696 -45.49785 + 705 | -13.95028 10.08019 -1.38 0.173 -34.229 6.328439 + 709 | -30.90417 11.32674 -2.73 0.009 -53.69063 -8.117706 + 710 | -36.34769 12.21889 -2.97 0.005 -60.92893 -11.76645 + 711 | -36.99784 11.48628 -3.22 0.002 -60.10525 -13.89043 + 798 | -59.56484 11.85775 -5.02 0.000 -83.41956 -35.71012 + 801 | -42.4547 10.14324 -4.19 0.000 -62.86027 -22.04914 + 802 | -32.59554 13.72535 -2.37 0.022 -60.20739 -4.983693 + 803 | -22.89989 14.68031 -1.56 0.125 -52.43286 6.633075 + 1000 | -47.11063 17.23257 -2.73 0.009 -81.77808 -12.44318 + 1001 | -27.10438 14.60105 -1.86 0.070 -56.47791 2.269153 + 1002 | -60.12136 10.09303 -5.96 0.000 -80.42592 -39.8168 + 1003 | -34.83371 13.59071 -2.56 0.014 -62.17469 -7.492729 + 1005 | -71.07106 9.085197 -7.82 0.000 -89.34811 -52.794 + 1006 | -.5352399 8.665613 -0.06 0.951 -17.9682 16.89772 + 1007 | -58.3402 8.665492 -6.73 0.000 -75.77292 -40.90748 + 1010 | -63.25045 10.05678 -6.29 0.000 -83.48208 -43.01881 + 1200 | -45.25489 8.29804 -5.45 0.000 -61.94839 -28.56139 + 1201 | -35.80459 10.67202 -3.35 0.002 -57.27392 -14.33526 + 1203 | -37.2853 12.79105 -2.91 0.005 -63.01757 -11.55304 + 1204 | -14.00832 13.53558 -1.03 0.306 -41.23839 13.22175 + 1205 | -14.1447 12.41248 -1.14 0.260 -39.11539 10.82599 + 1206 | -22.5742 13.52187 -1.67 0.102 -49.7767 4.628299 + 1207 | -26.72772 11.30677 -2.36 0.022 -49.47401 -3.981439 + 1208 | -23.03695 18.54249 -1.24 0.220 -60.33963 14.26573 + 1209 | -28.34512 11.65412 -2.43 0.019 -51.79019 -4.900045 + 1210 | -32.1692 11.48808 -2.80 0.007 -55.28024 -9.058162 + 1302 | -47.82592 7.504678 -6.37 0.000 -62.92338 -32.72845 + 1303 | -36.53204 5.15079 -7.09 0.000 -46.89409 -26.16999 + 1304 | -56.73189 10.54013 -5.38 0.000 -77.9359 -35.52788 + 1399 | -48.84133 8.662443 -5.64 0.000 -66.26792 -31.41475 + 1400 | -39.67789 12.95388 -3.06 0.004 -65.73773 -13.61805 + 1401 | -24.65651 12.70305 -1.94 0.058 -50.21175 .8987202 + 1403 | -31.78194 16.724 -1.90 0.064 -65.4263 1.862416 + 1404 | -71.15238 11.9662 -5.95 0.000 -95.22527 -47.07949 + 1405 | -68.30137 7.858057 -8.69 0.000 -84.10974 -52.493 + 1407 | -29.90259 10.45399 -2.86 0.006 -50.93332 -8.871867 + 1408 | -46.20623 9.293274 -4.97 0.000 -64.90188 -27.51057 + 1409 | -32.91014 10.55456 -3.12 0.003 -54.14317 -11.67711 + 1410 | -.1598284 13.22401 -0.01 0.990 -26.76311 26.44345 + 1500 | -21.93918 13.29389 -1.65 0.106 -48.68303 4.804675 + 1501 | -40.41014 13.93262 -2.90 0.006 -68.43895 -12.38132 + 1502 | -46.74242 8.424576 -5.55 0.000 -63.69049 -29.79436 + 1504 | -23.92118 12.9206 -1.85 0.070 -49.91407 2.071715 + 1505 | -13.84014 9.546191 -1.45 0.154 -33.0446 5.364323 + 1520 | -41.72453 14.86105 -2.81 0.007 -71.62111 -11.82794 + 1521 | -112.65 27.18196 -4.14 0.000 -167.333 -57.96692 + 1522 | 1.311727 15.41971 0.09 0.933 -29.70872 32.33217 + 1523 | -30.02655 19.02104 -1.58 0.121 -68.29195 8.23885 + 1525 | -19.03063 30.32294 -0.63 0.533 -80.03252 41.97127 + 1526 | -34.50738 9.197287 -3.75 0.000 -53.00994 -16.00483 + 1599 | -19.86366 13.48355 -1.47 0.147 -46.98907 7.261746 + 1600 | -25.77306 13.71099 -1.88 0.066 -53.35602 1.809897 + 1605 | -70.68572 10.26706 -6.88 0.000 -91.34038 -50.03107 + 1608 | -41.92856 15.8467 -2.65 0.011 -73.80801 -10.04911 + 1609 | -43.52051 13.9829 -3.11 0.003 -71.65048 -15.39054 + 1611 | -38.83314 22.38743 -1.73 0.089 -83.87085 6.204567 + 1614 | -67.36354 12.16132 -5.54 0.000 -91.82896 -42.89811 + 1615 | -65.94287 9.391567 -7.02 0.000 -84.83626 -47.04947 + 1616 | -34.29269 13.51531 -2.54 0.015 -61.48198 -7.103393 + 1620 | -22.04136 10.87505 -2.03 0.048 -43.91915 -.1635709 + 1698 | -55.91467 11.86407 -4.71 0.000 -79.7821 -32.04724 + 1700 | -21.07106 9.085197 -2.32 0.025 -39.34811 -2.793996 + 1706 | -16.96306 10.29358 -1.65 0.106 -37.67108 3.744964 + 1707 | 9.159817 9.057191 1.01 0.317 -9.060902 27.38054 + 1708 | -27.77495 13.89527 -2.00 0.051 -55.72862 .1787232 + 1709 | -54.48553 8.07624 -6.75 0.000 -70.73283 -38.23823 + 1798 | -18.12058 11.39827 -1.59 0.119 -41.05093 4.809778 + 1800 | -55.24988 13.61329 -4.06 0.000 -82.6363 -27.86347 + 1802 | -54.34383 8.85366 -6.14 0.000 -72.1551 -36.53256 + 1803 | -15.56893 13.73871 -1.13 0.263 -43.20766 12.0698 + 1804 | -28.47824 12.96123 -2.20 0.033 -54.55288 -2.403605 + 1806 | -46.67997 12.59069 -3.71 0.001 -72.00917 -21.35076 + 1807 | -40.07504 9.434847 -4.25 0.000 -59.0555 -21.09457 + 1808 | -64.05178 9.276623 -6.90 0.000 -82.71394 -45.38962 + 1900 | -42.44095 10.04219 -4.23 0.000 -62.64323 -22.23867 + 1901 | -48.70024 14.00152 -3.48 0.001 -76.86766 -20.53281 + 1902 | -12.59317 9.069679 -1.39 0.172 -30.83901 5.652676 + 1906 | -51.69562 10.01247 -5.16 0.000 -71.83811 -31.55312 + 1914 | -42.40335 10.0777 -4.21 0.000 -62.67706 -22.12964 + 1920 | -22.29117 14.21289 -1.57 0.124 -50.88383 6.301486 + 1925 | 21.45395 10.55833 2.03 0.048 .2133173 42.69458 + 1927 | -20.56595 10.04219 -2.05 0.046 -40.76823 -.3636747 + 1929 | -36.35583 12.80911 -2.84 0.007 -62.12444 -10.58723 + 2000 | -68.0875 12.89955 -5.28 0.000 -94.03805 -42.13696 + 2001 | -41.32705 11.57386 -3.57 0.001 -64.61066 -18.04344 + 2002 | -44.85094 12.01702 -3.73 0.001 -69.02606 -20.67582 + 2003 | -1.209215 10.76651 -0.11 0.911 -22.86865 20.45022 + 2004 | -39.84496 10.03572 -3.97 0.000 -60.03422 -19.65569 + 2006 | 8.459646 11.72209 0.72 0.474 -15.12216 32.04145 + 2007 | -50.55456 13.13218 -3.85 0.000 -76.97309 -24.13602 + 2008 | -37.84732 11.16156 -3.39 0.001 -60.30147 -15.39316 + 2011 | -31.51502 14.29652 -2.20 0.032 -60.27591 -2.754128 + 2012 | -37.88498 13.29999 -2.85 0.006 -64.6411 -11.12887 + 2013 | -23.84006 9.853996 -2.42 0.019 -43.66374 -4.016376 + 2014 | -13.25045 10.05678 -1.32 0.194 -33.48208 6.981187 + 2099 | -5.450309 9.069679 -0.60 0.551 -23.69615 12.79553 + 2100 | -68.0875 12.89955 -5.28 0.000 -94.03805 -42.13696 + 2101 | -39.04427 9.798623 -3.98 0.000 -58.75655 -19.33198 + 2102 | -39.423 11.74983 -3.36 0.002 -63.06061 -15.7854 + 2103 | -44.24976 9.493609 -4.66 0.000 -63.34843 -25.15108 + 2104 | -47.61483 9.450859 -5.04 0.000 -66.62751 -28.60215 + 2105 | 36.03444 9.863576 3.65 0.001 16.19148 55.87739 + 9999 | -58.97537 13.56813 -4.35 0.000 -86.27092 -31.67982 + | + house_administration | -14.63085 15.61173 -0.94 0.353 -46.0376 16.7759 + house_agriculture | 1.124261 4.541189 0.25 0.806 -8.011433 10.25995 + house_appropriations | -2.979666 11.61783 -0.26 0.799 -26.35172 20.39239 + house_armedservices | 4.507499 6.481917 0.70 0.490 -8.532435 17.54743 + house_budget | -7.240757 6.779431 -1.07 0.291 -20.87921 6.397699 + house_dc | 0 (omitted) + house_educlabor | -6.300689 4.828842 -1.30 0.198 -16.01507 3.413688 + house_energycommerce | 5.112683 3.802625 1.34 0.185 -2.537212 12.76258 + house_foreignaffairs | 26.57969 6.197023 4.29 0.000 14.11288 39.04649 + house_governmentop | -9.558025 10.72226 -0.89 0.377 -31.12842 12.01237 + house_intelligence | 0 (omitted) + house_interior | 0 (omitted) + house_judiciary | -10.25058 5.198863 -1.97 0.055 -20.70935 .2081793 + house_mmf | -5.099254 7.55809 -0.67 0.503 -20.30417 10.10566 + house_pocs | 3.917662 4.238172 0.92 0.360 -4.60844 12.44376 + house_pwt | 8.565168 5.274985 1.62 0.111 -2.046733 19.17707 + house_rules | .8626342 8.291392 0.10 0.918 -15.81749 17.54276 + house_sst | -143.7569 19.28998 -7.45 0.000 -182.5634 -104.9505 + house_smallbusi | 77.00144 14.27008 5.40 0.000 48.29374 105.7091 + house_soc | 0 (omitted) + house_veterans | 2.447484 10.79561 0.23 0.822 -19.27048 24.16545 + house_waysandmeans | -3.40799 3.476076 -0.98 0.332 -10.40095 3.584973 + house_naturalresources | -10.43089 4.658557 -2.24 0.030 -19.8027 -1.059083 + house_bfs | 3.97395 5.051329 0.79 0.435 -6.188014 14.13591 + house_eeo | 4.699555 8.371574 0.56 0.577 -12.14188 21.54099 + house_govreform | -5.766495 4.588075 -1.26 0.215 -14.99651 3.463522 + house_ir | -11.35194 10.72743 -1.06 0.295 -32.93275 10.22886 + house_natsecur | 9.308824 7.126483 1.31 0.198 -5.027811 23.64546 + house_oversight | 2.697038 10.57788 0.25 0.800 -18.58291 23.97699 + house_resources | -4.627523 5.382751 -0.86 0.394 -15.45622 6.201176 + house_science | 20.14523 9.454082 2.13 0.038 1.126074 39.16439 + house_transp | 8.270646 4.48799 1.84 0.072 -.7580261 17.29932 + house_homeland | 0 (omitted) + _cons | 61.29394 10.68646 5.74 0.000 39.79555 82.79233 +----------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 48 1 0 1 1 + + +j = 4 k = 1 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female_l1 if tag_bill==1 & sponsor_female==0, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5144 +----------------------+---------------------- NN matches = 3 + Number of obs | 4450 694 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of MV1_female_l1 | 99.716 73.923 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 11.87532 21.08255 .563277 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female_l1)) +(23,391 missing values generated) +(56,838 missing values generated) +(33,447 real changes made) +reg pct_cosponsors_opposite sponsor_female_l1 i.v2 i.minor house_* [aw=wt] if tag_bill==1 & sponsor_female==0, robust cluster(group_sponsor) +(sum of wgt is 61,538.0782963037) + +Linear regression Number of obs = 33,645 + F(264, 2753) = 17.61 + Prob > F = 0.0000 + R-squared = 0.1420 + Root MSE = 20.2 + + (Std. Err. adjusted for 2,754 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female_l1 | -.4751004 1.14594 -0.41 0.678 -2.72209 1.771889 + | + v2 | + 103 | -.3600221 1.600639 -0.22 0.822 -3.498596 2.778552 + 104 | .278227 1.303584 0.21 0.831 -2.277874 2.834328 + 105 | 1.91541 1.603718 1.19 0.232 -1.229202 5.060023 + 106 | 2.293369 2.179973 1.05 0.293 -1.981178 6.567916 + 108 | 4.056603 2.049591 1.98 0.048 .0377107 8.075495 + 109 | 4.37269 2.21573 1.97 0.049 .028028 8.717352 + 110 | -2.256158 1.755517 -1.29 0.199 -5.698421 1.186105 + | + minor | + 101 | .0713993 5.689874 0.01 0.990 -11.08545 11.22825 + 103 | 2.248121 8.152669 0.28 0.783 -13.73785 18.23409 + 104 | -.3245043 3.922653 -0.08 0.934 -8.016144 7.367135 + 105 | 7.4425 3.146848 2.37 0.018 1.272078 13.61292 + 107 | 2.152765 3.171327 0.68 0.497 -4.065654 8.371185 + 108 | 2.474262 5.23587 0.47 0.637 -7.792368 12.74089 + 200 | 3.100706 3.460102 0.90 0.370 -3.683952 9.885364 + 201 | -4.788136 3.355145 -1.43 0.154 -11.36699 1.790721 + 202 | 6.321744 6.370027 0.99 0.321 -6.168771 18.81226 + 204 | 15.93248 5.049049 3.16 0.002 6.032172 25.83278 + 205 | 17.48449 5.9084 2.96 0.003 5.89915 29.06984 + 206 | -3.617167 3.606818 -1.00 0.316 -10.68951 3.455175 + 207 | 2.80814 3.562073 0.79 0.431 -4.176465 9.792745 + 208 | 9.130806 4.862652 1.88 0.061 -.4040099 18.66562 + 209 | -5.198324 3.928378 -1.32 0.186 -12.90119 2.504542 + 299 | 7.811469 3.102997 2.52 0.012 1.727032 13.89591 + 300 | 2.20386 3.677341 0.60 0.549 -5.006766 9.414485 + 301 | 1.983568 3.23489 0.61 0.540 -4.359489 8.326624 + 302 | 12.12346 3.994628 3.03 0.002 4.290684 19.95623 + 321 | 10.9401 6.03728 1.81 0.070 -.8979527 22.77816 + 322 | 24.14341 4.840293 4.99 0.000 14.65244 33.63438 + 323 | 16.40375 5.090151 3.22 0.001 6.422846 26.38465 + 324 | 1.122539 4.443819 0.25 0.801 -7.591017 9.836096 + 325 | 22.67646 6.995301 3.24 0.001 8.959892 36.39303 + 331 | 10.27696 7.380029 1.39 0.164 -4.19399 24.74792 + 332 | 9.41029 5.393197 1.74 0.081 -1.16483 19.98541 + 333 | 1.120527 5.19453 0.22 0.829 -9.065042 11.3061 + 334 | 16.50429 5.135485 3.21 0.001 6.434501 26.57409 + 335 | -2.0696 3.924314 -0.53 0.598 -9.764498 5.625298 + 336 | 22.63667 5.581316 4.06 0.000 11.69268 33.58066 + 341 | 17.19083 6.292527 2.73 0.006 4.852277 29.52938 + 342 | 10.84965 6.361667 1.71 0.088 -1.624471 23.32377 + 343 | .765052 5.88527 0.13 0.897 -10.77494 12.30504 + 344 | 12.87605 6.242343 2.06 0.039 .6358962 25.11619 + 398 | 18.33196 5.416164 3.38 0.001 7.7118 28.95211 + 399 | .5876618 4.761331 0.12 0.902 -8.74848 9.923804 + 400 | 15.09542 6.323848 2.39 0.017 2.695451 27.49538 + 401 | 14.44288 5.257532 2.75 0.006 4.133778 24.75199 + 402 | 14.94374 3.551189 4.21 0.000 7.980472 21.907 + 403 | 7.85797 4.678481 1.68 0.093 -1.315718 17.03166 + 404 | -2.517567 4.432532 -0.57 0.570 -11.20899 6.173857 + 405 | 25.29738 5.029855 5.03 0.000 15.43471 35.16005 + 498 | 16.78371 4.891239 3.43 0.001 7.192846 26.37458 + 499 | 9.94027 4.781098 2.08 0.038 .5653682 19.31517 + 500 | 50.7765 9.923123 5.12 0.000 31.31898 70.23402 + 501 | 5.028339 3.639153 1.38 0.167 -2.107407 12.16409 + 502 | 1.718267 3.27239 0.53 0.600 -4.69832 8.134854 + 503 | 3.778124 3.244289 1.16 0.244 -2.583363 10.13961 + 504 | -1.65846 3.280632 -0.51 0.613 -8.091209 4.774288 + 505 | 7.310769 4.012183 1.82 0.069 -.556424 15.17796 + 506 | 4.421453 3.92149 1.13 0.260 -3.267907 12.11081 + 508 | 20.6744 8.355768 2.47 0.013 4.290187 37.0586 + 529 | 15.95875 4.600513 3.47 0.001 6.937941 24.97955 + 530 | 7.056366 3.383178 2.09 0.037 .4225419 13.69019 + 599 | -.631446 4.416381 -0.14 0.886 -9.2912 8.028308 + 600 | -2.591457 2.965228 -0.87 0.382 -8.405752 3.222839 + 601 | 9.123084 4.295782 2.12 0.034 .6998019 17.54637 + 602 | 5.107086 3.165748 1.61 0.107 -1.100396 11.31457 + 603 | .0686283 3.740479 0.02 0.985 -7.265801 7.403057 + 604 | 10.54672 4.237124 2.49 0.013 2.23846 18.85499 + 606 | 6.68231 4.148936 1.61 0.107 -1.453032 14.81765 + 607 | 16.44578 6.351705 2.59 0.010 3.991194 28.90037 + 609 | 18.3548 7.660627 2.40 0.017 3.333646 33.37596 + 698 | -2.383861 5.156224 -0.46 0.644 -12.49432 7.726597 + 699 | 2.213744 4.063769 0.54 0.586 -5.7546 10.18209 + 700 | 15.32583 7.053629 2.17 0.030 1.49489 29.15677 + 701 | 4.658179 4.155538 1.12 0.262 -3.490108 12.80647 + 703 | 7.640387 6.300907 1.21 0.225 -4.714596 19.99537 + 704 | 8.759462 3.983272 2.20 0.028 .9489577 16.56997 + 705 | 15.02271 7.349302 2.04 0.041 .6120123 29.43342 + 707 | 10.92594 9.095427 1.20 0.230 -6.908612 28.76049 + 708 | 2.731836 3.781069 0.72 0.470 -4.682184 10.14586 + 709 | 17.62027 4.800001 3.67 0.000 8.208301 27.03223 + 710 | 13.42669 4.661693 2.88 0.004 4.285925 22.56746 + 711 | 5.956744 5.575589 1.07 0.285 -4.976017 16.8895 + 798 | 14.75297 4.862428 3.03 0.002 5.218593 24.28734 + 799 | 14.50888 4.447531 3.26 0.001 5.78804 23.22971 + 800 | 5.172312 3.48944 1.48 0.138 -1.669872 12.0145 + 801 | 9.2051 5.63371 1.63 0.102 -1.841625 20.25183 + 802 | 7.203301 5.087665 1.42 0.157 -2.772725 17.17933 + 803 | 10.69158 6.156367 1.74 0.083 -1.379986 22.76314 + 805 | 13.18802 4.633635 2.85 0.004 4.102265 22.27377 + 806 | 2.138579 4.335219 0.49 0.622 -6.362031 10.63919 + 807 | 4.355908 4.016313 1.08 0.278 -3.519384 12.2312 + 898 | .971722 5.056884 0.19 0.848 -8.943948 10.88739 + 899 | -2.356126 6.532999 -0.36 0.718 -15.1662 10.45395 + 1000 | 9.644931 3.327054 2.90 0.004 3.121156 16.16871 + 1001 | 3.348715 5.273282 0.64 0.525 -6.991273 13.6887 + 1002 | 5.432431 5.367958 1.01 0.312 -5.093201 15.95806 + 1003 | 7.53127 4.109661 1.83 0.067 -.5270607 15.5896 + 1005 | 10.13396 3.806898 2.66 0.008 2.669299 17.59863 + 1006 | 16.07728 7.734429 2.08 0.038 .9114072 31.24315 + 1007 | 2.542351 5.465207 0.47 0.642 -8.17397 13.25867 + 1010 | 6.861329 4.878084 1.41 0.160 -2.703745 16.4264 + 1098 | 3.344349 6.206875 0.54 0.590 -8.826253 15.51495 + 1099 | 4.603851 11.72416 0.39 0.695 -18.3852 27.5929 + 1200 | 5.083322 4.9497 1.03 0.305 -4.622179 14.78882 + 1201 | 15.46434 3.723437 4.15 0.000 8.163325 22.76535 + 1202 | 12.4692 4.876446 2.56 0.011 2.907342 22.03107 + 1203 | 9.541535 5.891403 1.62 0.105 -2.010482 21.09355 + 1204 | 6.264764 4.262218 1.47 0.142 -2.092704 14.62223 + 1205 | 6.592652 3.74754 1.76 0.079 -.7556217 13.94093 + 1206 | 6.700941 4.092078 1.64 0.102 -1.322911 14.72479 + 1207 | 10.53617 3.468405 3.04 0.002 3.73523 17.33711 + 1208 | 16.36252 8.251359 1.98 0.047 .1830391 32.542 + 1209 | 8.74659 4.498767 1.94 0.052 -.0747096 17.56789 + 1210 | 7.665619 4.29691 1.78 0.075 -.7598737 16.09111 + 1211 | 23.40221 8.681309 2.70 0.007 6.379668 40.42474 + 1299 | 31.21271 4.391587 7.11 0.000 22.60157 39.82385 + 1300 | 4.57298 3.618819 1.26 0.206 -2.522895 11.66886 + 1301 | 11.47163 3.90444 2.94 0.003 3.815705 19.12756 + 1302 | -.6159343 3.456388 -0.18 0.859 -7.39331 6.161442 + 1303 | 5.364381 4.399131 1.22 0.223 -3.261549 13.99031 + 1304 | 15.22026 5.038999 3.02 0.003 5.339664 25.10086 + 1305 | 12.11444 4.568923 2.65 0.008 3.15558 21.0733 + 1399 | 6.82786 6.319853 1.08 0.280 -5.564271 19.21999 + 1400 | 6.969505 3.484443 2.00 0.046 .1371172 13.80189 + 1401 | 2.086795 3.853562 0.54 0.588 -5.46937 9.642959 + 1403 | 7.675536 4.566713 1.68 0.093 -1.278993 16.63006 + 1404 | 7.799189 5.090304 1.53 0.126 -2.182012 17.78039 + 1405 | 10.00938 3.645154 2.75 0.006 2.861865 17.15689 + 1406 | 14.24969 4.567059 3.12 0.002 5.294484 23.2049 + 1407 | 12.8085 5.298558 2.42 0.016 2.418953 23.19805 + 1408 | -.91213 3.621519 -0.25 0.801 -8.013299 6.189039 + 1409 | 19.85611 4.935885 4.02 0.000 10.1777 29.53452 + 1410 | 11.59017 3.968458 2.92 0.004 3.808711 19.37162 + 1499 | 1.190291 5.051106 0.24 0.814 -8.714049 11.09463 + 1500 | -1.018208 4.423414 -0.23 0.818 -9.691754 7.655338 + 1501 | 6.293095 3.087984 2.04 0.042 .2380959 12.34809 + 1502 | 10.97898 3.566517 3.08 0.002 3.985659 17.9723 + 1504 | 9.299751 7.817056 1.19 0.234 -6.028137 24.62764 + 1505 | 8.68262 4.661221 1.86 0.063 -.4572226 17.82246 + 1507 | 3.758804 4.938236 0.76 0.447 -5.924219 13.44183 + 1520 | 9.419887 6.1356 1.54 0.125 -2.610956 21.45073 + 1521 | 4.486773 3.754811 1.19 0.232 -2.875758 11.8493 + 1522 | 20.3354 4.707057 4.32 0.000 11.10568 29.56512 + 1523 | 12.12641 3.947638 3.07 0.002 4.385779 19.86704 + 1524 | 15.61871 7.270639 2.15 0.032 1.362249 29.87517 + 1525 | 5.833708 3.274998 1.78 0.075 -.587993 12.25541 + 1526 | 9.630871 5.612402 1.72 0.086 -1.374072 20.63581 + 1599 | 12.70735 4.305682 2.95 0.003 4.264659 21.15005 + 1600 | 11.87375 3.756301 3.16 0.002 4.508295 19.2392 + 1602 | 1.58317 4.777177 0.33 0.740 -7.784044 10.95038 + 1603 | 2.861494 4.692412 0.61 0.542 -6.339511 12.0625 + 1604 | 7.280503 5.036047 1.45 0.148 -2.594309 17.15532 + 1605 | 7.197193 4.157157 1.73 0.084 -.9542681 15.34865 + 1606 | 33.71155 6.023078 5.60 0.000 21.90134 45.52176 + 1608 | 8.02063 4.108522 1.95 0.051 -.0354675 16.07673 + 1609 | 10.687 5.946666 1.80 0.072 -.9733773 22.34738 + 1610 | 2.859574 5.018069 0.57 0.569 -6.979987 12.69913 + 1611 | 15.22089 8.312449 1.83 0.067 -1.07838 31.52015 + 1612 | 9.617552 3.898932 2.47 0.014 1.972424 17.26268 + 1614 | -1.880264 4.154625 -0.45 0.651 -10.02676 6.266233 + 1615 | 6.487114 5.013683 1.29 0.196 -3.343846 16.31807 + 1616 | 8.540163 3.684252 2.32 0.021 1.315987 15.76434 + 1617 | 2.286793 5.947043 0.38 0.701 -9.374323 13.94791 + 1619 | 2.057933 4.347362 0.47 0.636 -6.466489 10.58235 + 1620 | 18.48726 5.660812 3.27 0.001 7.387391 29.58712 + 1698 | 15.21683 6.055474 2.51 0.012 3.343099 27.09056 + 1699 | 8.409654 5.357607 1.57 0.117 -2.095681 18.91499 + 1700 | 11.17239 4.880813 2.29 0.022 1.601965 20.74281 + 1701 | 5.847332 5.944043 0.98 0.325 -5.807902 17.50257 + 1704 | 18.45328 5.367065 3.44 0.001 7.929402 28.97717 + 1705 | 6.447987 7.336326 0.88 0.380 -7.937272 20.83325 + 1706 | 23.40562 8.907789 2.63 0.009 5.938991 40.87224 + 1707 | 18.76738 11.75039 1.60 0.110 -4.273098 41.80786 + 1708 | 17.45192 4.591663 3.80 0.000 8.448467 26.45537 + 1709 | 2.416588 4.35155 0.56 0.579 -6.116044 10.94922 + 1798 | 19.71763 6.301947 3.13 0.002 7.360609 32.07465 + 1799 | 8.30011 7.062109 1.18 0.240 -5.547458 22.14768 + 1800 | 5.739997 4.308749 1.33 0.183 -2.708711 14.1887 + 1802 | 11.62772 3.875909 3.00 0.003 4.027733 19.2277 + 1803 | 4.076752 3.819523 1.07 0.286 -3.412668 11.56617 + 1804 | 4.095101 4.03029 1.02 0.310 -3.807596 11.9978 + 1806 | -.1940492 4.068709 -0.05 0.962 -8.172079 7.783981 + 1807 | -3.822887 2.935423 -1.30 0.193 -9.57874 1.932967 + 1808 | -1.77258 4.116381 -0.43 0.667 -9.844087 6.298926 + 1899 | -.9392934 7.211427 -0.13 0.896 -15.07965 13.20106 + 1900 | 15.82141 4.053285 3.90 0.000 7.87362 23.76919 + 1901 | 12.11468 6.78434 1.79 0.074 -1.188231 25.41759 + 1902 | 14.25116 4.451838 3.20 0.001 5.52188 22.98044 + 1905 | 26.00109 6.762375 3.84 0.000 12.74125 39.26093 + 1906 | 8.833786 5.312135 1.66 0.096 -1.582386 19.24996 + 1907 | 14.33183 5.534459 2.59 0.010 3.479716 25.18394 + 1908 | 13.43037 7.698815 1.74 0.081 -1.665666 28.52641 + 1909 | 15.92937 6.687817 2.38 0.017 2.81572 29.04301 + 1910 | 7.384441 7.604942 0.97 0.332 -7.527527 22.29641 + 1911 | 6.313031 5.295828 1.19 0.233 -4.071167 16.69723 + 1912 | -6.167514 4.737773 -1.30 0.193 -15.45746 3.122434 + 1914 | -1.249899 4.905345 -0.25 0.799 -10.86843 8.368629 + 1915 | 17.95438 8.110711 2.21 0.027 2.050683 33.85807 + 1919 | 15.07449 5.237656 2.88 0.004 4.804355 25.34462 + 1920 | 19.16029 8.663118 2.21 0.027 2.173425 36.14716 + 1925 | 13.65046 4.651996 2.93 0.003 4.528703 22.77221 + 1926 | 2.276442 4.597376 0.50 0.621 -6.738212 11.2911 + 1927 | 5.715468 5.61899 1.02 0.309 -5.302394 16.73333 + 1929 | -1.500746 5.518252 -0.27 0.786 -12.32108 9.319585 + 1999 | 2.311347 10.82539 0.21 0.831 -18.91537 23.53806 + 2000 | 6.218935 3.135213 1.98 0.047 .0713266 12.36654 + 2001 | 3.875631 3.180919 1.22 0.223 -2.361599 10.11286 + 2002 | 4.218908 3.752504 1.12 0.261 -3.1391 11.57692 + 2003 | 12.71092 3.595448 3.54 0.000 5.660867 19.76097 + 2004 | 10.79092 3.224808 3.35 0.001 4.467634 17.11421 + 2005 | 12.62714 7.064053 1.79 0.074 -1.224242 26.47852 + 2006 | 37.88633 10.46337 3.62 0.000 17.36948 58.40319 + 2007 | -3.137812 3.019409 -1.04 0.299 -9.058347 2.782724 + 2008 | 23.82898 4.562012 5.22 0.000 14.88366 32.77429 + 2009 | 7.075049 4.248922 1.67 0.096 -1.256348 15.40645 + 2011 | 5.239508 3.270349 1.60 0.109 -1.173079 11.65209 + 2012 | .8363313 4.085815 0.20 0.838 -7.175241 8.847904 + 2013 | 3.901556 5.092698 0.77 0.444 -6.08434 13.88745 + 2014 | 14.27596 4.060396 3.52 0.000 6.314228 22.23769 + 2015 | -4.803126 4.454967 -1.08 0.281 -13.53854 3.93229 + 2030 | 6.781282 4.640947 1.46 0.144 -2.318808 15.88137 + 2099 | 16.1401 10.34903 1.56 0.119 -4.152552 36.43276 + 2100 | 5.372031 3.849381 1.40 0.163 -2.175935 12.92 + 2101 | 13.08914 4.269398 3.07 0.002 4.717596 21.46069 + 2102 | 13.24458 4.612487 2.87 0.004 4.200291 22.28886 + 2103 | 3.692609 3.549981 1.04 0.298 -3.268285 10.6535 + 2104 | 6.523216 3.724239 1.75 0.080 -.7793697 13.8258 + 2105 | 13.27791 4.824731 2.75 0.006 3.817451 22.73837 + 2199 | -4.995517 4.953613 -1.01 0.313 -14.70869 4.717657 + 9999 | -1.441161 3.931153 -0.37 0.714 -9.149467 6.267146 + | + house_administration | 1.456842 3.160203 0.46 0.645 -4.739767 7.653451 + house_agriculture | .8550509 2.146139 0.40 0.690 -3.353154 5.063256 + house_appropriations | -13.71113 1.157995 -11.84 0.000 -15.98176 -11.4405 + house_armedservices | -.9589394 2.340742 -0.41 0.682 -5.548727 3.630848 + house_budget | -5.100889 1.834401 -2.78 0.005 -8.697831 -1.503948 + house_dc | -8.521605 4.08445 -2.09 0.037 -16.5305 -.5127089 + house_educlabor | -2.461058 1.422415 -1.73 0.084 -5.250166 .3280498 + house_energycommerce | -.8144291 1.281375 -0.64 0.525 -3.326982 1.698124 + house_foreignaffairs | 3.801087 2.941116 1.29 0.196 -1.96593 9.568104 + house_governmentop | -1.002978 2.026938 -0.49 0.621 -4.977451 2.971495 + house_intelligence | -2.488564 3.947201 -0.63 0.528 -10.22834 5.25121 + house_interior | .5546066 2.138862 0.26 0.795 -3.639331 4.748544 + house_judiciary | -2.312293 1.456162 -1.59 0.112 -5.167574 .5429874 + house_mmf | 2.482631 3.485066 0.71 0.476 -4.350978 9.316239 + house_pocs | -.3742749 1.791272 -0.21 0.835 -3.886648 3.138098 + house_pwt | 1.012168 2.528664 0.40 0.689 -3.946103 5.970438 + house_rules | -1.99886 1.1872 -1.68 0.092 -4.326753 .3290326 + house_sst | .781964 2.866208 0.27 0.785 -4.83817 6.402099 + house_smallbusi | .2817564 2.851619 0.10 0.921 -5.309772 5.873285 + house_soc | -2.913198 4.027178 -0.72 0.470 -10.80979 4.983398 + house_veterans | 3.61628 4.050043 0.89 0.372 -4.325149 11.55771 + house_waysandmeans | .537107 .867197 0.62 0.536 -1.163315 2.237529 +house_naturalresources | -2.401815 3.600392 -0.67 0.505 -9.461557 4.657926 + house_bfs | .1538176 1.629967 0.09 0.925 -3.042264 3.349899 + house_eeo | -4.152245 1.395551 -2.98 0.003 -6.888678 -1.415813 + house_govreform | .1141283 1.425326 0.08 0.936 -2.680688 2.908944 + house_ir | 4.919958 2.265993 2.17 0.030 .4767412 9.363176 + house_natsecur | 2.209456 2.684039 0.82 0.410 -3.053477 7.472388 + house_oversight | 1.73594 1.881103 0.92 0.356 -1.952577 5.424456 + house_resources | -4.096461 1.483224 -2.76 0.006 -7.004805 -1.188117 + house_science | -.1962237 2.337511 -0.08 0.933 -4.779676 4.387229 + house_transp | .4435463 1.755945 0.25 0.801 -2.999556 3.886648 + house_homeland | 7.713594 4.130213 1.87 0.062 -.3850356 15.81222 + _cons | 6.674126 2.94681 2.26 0.024 .8959442 12.45231 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,754 1 0 1 1 + + +j = 4 k = 2 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female_l1 if sponsor_party_l1==100 & tag_bill==1 & sponsor_female==0, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 1870 +----------------------+---------------------- NN matches = 3 + Number of obs | 1347 523 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of MV1_female_l1 | 99.685 73.923 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 9.725593 22.36827 .4347942 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female_l1)) +(23,391 missing values generated) +(56,838 missing values generated) +(33,447 real changes made) +reg pct_cosponsors_opposite sponsor_female_l1 i.v2 i.minor house_* [aw=wt] if sponsor_party_l1==100 & tag_bill==1 & sponsor_female==0, robust cluster(group_sponsor) +(sum of wgt is 28,122.8585979939) + +Linear regression Number of obs = 16,299 + F(258, 1328) = . + Prob > F = . + R-squared = 0.1335 + Root MSE = 18.509 + + (Std. Err. adjusted for 1,329 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female_l1 | .3527632 1.260913 0.28 0.780 -2.120835 2.826361 + | + v2 | + 103 | -2.311544 1.214072 -1.90 0.057 -4.693252 .070163 + 104 | -3.079708 1.236774 -2.49 0.013 -5.505951 -.6534644 + 105 | -1.95577 1.558675 -1.25 0.210 -5.013504 1.101964 + 106 | -1.259015 1.303371 -0.97 0.334 -3.815906 1.297876 + 108 | -3.038496 1.499996 -2.03 0.043 -5.981116 -.0958765 + 109 | 3.50921 2.997693 1.17 0.242 -2.37152 9.38994 + 110 | -.9925318 1.440154 -0.69 0.491 -3.817756 1.832693 + | + minor | + 101 | -.4911973 5.931807 -0.08 0.934 -12.12793 11.14554 + 103 | -3.563249 4.026027 -0.89 0.376 -11.46132 4.334817 + 104 | 4.865242 5.599634 0.87 0.385 -6.119851 15.85033 + 105 | 3.6945 4.153511 0.89 0.374 -4.453658 11.84266 + 107 | -.0911646 4.022453 -0.02 0.982 -7.982219 7.799889 + 108 | 1.704923 6.065694 0.28 0.779 -10.19446 13.60431 + 200 | -1.124009 4.371862 -0.26 0.797 -9.700518 7.4525 + 201 | -5.526506 4.841471 -1.14 0.254 -15.02427 3.971259 + 202 | -1.770271 4.972314 -0.36 0.722 -11.52472 7.984175 + 204 | 9.200695 4.537273 2.03 0.043 .2996914 18.1017 + 205 | 10.41191 7.529361 1.38 0.167 -4.358825 25.18265 + 206 | -7.401003 3.842932 -1.93 0.054 -14.93988 .1378775 + 207 | 1.661827 4.418843 0.38 0.707 -7.006848 10.3305 + 208 | 7.885409 6.679191 1.18 0.238 -5.217507 20.98832 + 299 | 14.2472 13.29425 1.07 0.284 -11.83282 40.32722 + 300 | -2.417059 4.528064 -0.53 0.594 -11.3 6.46588 + 301 | .1728961 4.08077 0.04 0.966 -7.832563 8.178355 + 302 | 10.10458 4.802196 2.10 0.036 .6838575 19.52529 + 321 | 17.77904 10.7806 1.65 0.099 -3.369833 38.92791 + 322 | 13.52978 5.491296 2.46 0.014 2.757218 24.30234 + 323 | 8.260494 5.914247 1.40 0.163 -3.341792 19.86278 + 324 | .892197 4.653031 0.19 0.848 -8.235895 10.02029 + 325 | 16.19529 8.751418 1.85 0.064 -.972818 33.3634 + 331 | 13.16845 6.652993 1.98 0.048 .1169277 26.21997 + 332 | 6.026271 4.75695 1.27 0.205 -3.305685 15.35823 + 333 | 3.237513 4.382891 0.74 0.460 -5.360632 11.83566 + 334 | 13.64147 6.013997 2.27 0.023 1.8435 25.43944 + 335 | -3.427052 4.031253 -0.85 0.395 -11.33537 4.481266 + 336 | 25.16768 6.702799 3.75 0.000 12.01845 38.31691 + 341 | 6.351644 4.299755 1.48 0.140 -2.083408 14.7867 + 342 | 2.593084 5.08841 0.51 0.610 -7.389115 12.57528 + 343 | -6.910142 5.989867 -1.15 0.249 -18.66078 4.84049 + 344 | 4.017809 5.593642 0.72 0.473 -6.955529 14.99115 + 398 | 8.58246 6.187735 1.39 0.166 -3.556342 20.72126 + 399 | 8.648355 6.343129 1.36 0.173 -3.79529 21.092 + 400 | 15.6428 8.010737 1.95 0.051 -.0722827 31.35787 + 401 | 13.66608 7.421704 1.84 0.066 -.893466 28.22562 + 402 | 11.28265 4.905253 2.30 0.022 1.659765 20.90554 + 403 | 2.959663 6.333836 0.47 0.640 -9.465753 15.38508 + 404 | -2.538391 5.678312 -0.45 0.655 -13.67783 8.601048 + 405 | 25.98588 6.734612 3.86 0.000 12.77424 39.19752 + 498 | 17.88908 7.339672 2.44 0.015 3.490461 32.28769 + 499 | 14.27441 8.243987 1.73 0.084 -1.898243 30.44707 + 500 | 7.750606 7.660498 1.01 0.312 -7.27739 22.7786 + 501 | 3.789131 4.506144 0.84 0.401 -5.050806 12.62907 + 502 | -.508294 4.091378 -0.12 0.901 -8.534562 7.517974 + 503 | 3.819741 4.219382 0.91 0.365 -4.45764 12.09712 + 504 | .2253324 4.141238 0.05 0.957 -7.898749 8.349414 + 505 | 1.001823 4.596896 0.22 0.828 -8.016148 10.01979 + 506 | 2.623712 4.234036 0.62 0.536 -5.682416 10.92984 + 508 | 8.351877 7.847304 1.06 0.287 -7.042588 23.74634 + 529 | 21.02566 7.554402 2.78 0.005 6.205801 35.84553 + 530 | 2.209692 4.282057 0.52 0.606 -6.190641 10.61003 + 599 | 7.844174 5.991774 1.31 0.191 -3.9102 19.59855 + 600 | -4.504751 4.028347 -1.12 0.264 -12.40737 3.397867 + 601 | 7.071832 5.688535 1.24 0.214 -4.087664 18.23133 + 602 | 2.401493 4.087557 0.59 0.557 -5.61728 10.42027 + 603 | -2.297342 4.194291 -0.55 0.584 -10.5255 5.930816 + 604 | 7.816113 5.245895 1.49 0.136 -2.475032 18.10726 + 606 | 3.782604 4.679027 0.81 0.419 -5.396487 12.96169 + 607 | 14.34403 8.109967 1.77 0.077 -1.565714 30.25377 + 609 | 19.40811 12.27728 1.58 0.114 -4.67686 43.49308 + 698 | -4.766013 5.427928 -0.88 0.380 -15.41426 5.882236 + 699 | .7811754 5.288574 0.15 0.883 -9.593694 11.15604 + 700 | 7.766924 6.857765 1.13 0.258 -5.686309 21.22016 + 701 | 1.841492 5.556552 0.33 0.740 -9.059084 12.74207 + 703 | 2.399534 4.061659 0.59 0.555 -5.568433 10.3675 + 704 | 7.56879 4.42214 1.71 0.087 -1.106351 16.24393 + 705 | 19.70897 8.618417 2.29 0.022 2.801776 36.61617 + 707 | 12.45702 8.43698 1.48 0.140 -4.094245 29.00828 + 708 | .1234975 4.361467 0.03 0.977 -8.432619 8.679614 + 709 | 14.6417 6.52616 2.24 0.025 1.838998 27.44441 + 710 | 5.559481 4.773171 1.16 0.244 -3.804296 14.92326 + 711 | 9.950352 4.89688 2.03 0.042 .3438885 19.55681 + 798 | 4.732983 4.874263 0.97 0.332 -4.829112 14.29508 + 799 | 14.3181 6.050815 2.37 0.018 2.447902 26.1883 + 800 | -.4083284 4.324268 -0.09 0.925 -8.89147 8.074813 + 801 | 3.816293 6.643255 0.57 0.566 -9.216124 16.84871 + 802 | 7.999826 8.360292 0.96 0.339 -8.400992 24.40064 + 803 | 3.550924 5.907748 0.60 0.548 -8.038613 15.14046 + 805 | 14.66376 6.719125 2.18 0.029 1.482508 27.84502 + 806 | 2.732322 5.908514 0.46 0.644 -8.858717 14.32336 + 807 | -.8245265 4.650168 -0.18 0.859 -9.947002 8.297949 + 898 | -1.867045 5.550288 -0.34 0.737 -12.75533 9.021244 + 899 | -8.043336 4.131756 -1.95 0.052 -16.14882 .0621448 + 1000 | 7.951902 4.202188 1.89 0.059 -.291749 16.19555 + 1001 | -1.735368 4.594586 -0.38 0.706 -10.74881 7.278071 + 1002 | 4.726228 6.641091 0.71 0.477 -8.301946 17.7544 + 1003 | 4.171094 5.191916 0.80 0.422 -6.014157 14.35634 + 1005 | 7.275643 4.711029 1.54 0.123 -1.966227 16.51751 + 1006 | 4.311819 4.652878 0.93 0.354 -4.815974 13.43961 + 1007 | 6.016686 4.605938 1.31 0.192 -3.019022 15.05239 + 1010 | 6.733944 6.054034 1.11 0.266 -5.142569 18.61046 + 1098 | -5.570419 4.119273 -1.35 0.177 -13.65141 2.510573 + 1099 | -10.53833 4.417515 -2.39 0.017 -19.2044 -1.872262 + 1200 | -4.551878 4.485101 -1.01 0.310 -13.35053 4.246777 + 1201 | 7.683028 4.968715 1.55 0.122 -2.064358 17.43041 + 1202 | 6.455601 6.264022 1.03 0.303 -5.832856 18.74406 + 1203 | .3550803 4.985845 0.07 0.943 -9.425911 10.13607 + 1204 | 2.006102 5.980218 0.34 0.737 -9.725602 13.73781 + 1205 | 3.557373 4.770543 0.75 0.456 -5.80125 12.91599 + 1206 | 4.186498 5.275432 0.79 0.428 -6.162591 14.53559 + 1207 | 4.573035 4.41865 1.03 0.301 -4.09526 13.24133 + 1208 | 9.036521 9.086476 0.99 0.320 -8.788891 26.86193 + 1209 | .7072045 4.174474 0.17 0.865 -7.482078 8.896487 + 1210 | .8468864 5.5278 0.15 0.878 -9.997286 11.69106 + 1211 | 21.26001 10.98134 1.94 0.053 -.2826506 42.80268 + 1299 | 26.2083 5.106036 5.13 0.000 16.19153 36.22508 + 1300 | 7.416409 5.20998 1.42 0.155 -2.804281 17.6371 + 1301 | 6.718882 5.190515 1.29 0.196 -3.463621 16.90139 + 1302 | -3.402119 4.353499 -0.78 0.435 -11.9426 5.138366 + 1303 | 8.977848 6.22886 1.44 0.150 -3.241631 21.19733 + 1304 | 14.39524 6.258972 2.30 0.022 2.116685 26.67379 + 1305 | 6.425194 5.435623 1.18 0.237 -4.23815 17.08854 + 1399 | 12.81473 5.681109 2.26 0.024 1.669805 23.95966 + 1400 | 7.530939 4.624093 1.63 0.104 -1.540385 16.60226 + 1401 | .7973529 4.330893 0.18 0.854 -7.698786 9.293491 + 1403 | 3.470892 5.211839 0.67 0.506 -6.753443 13.69523 + 1404 | 3.24587 6.842014 0.47 0.635 -10.17647 16.6682 + 1405 | 5.675253 4.389793 1.29 0.196 -2.936431 14.28694 + 1406 | 8.165821 4.62187 1.77 0.077 -.9011417 17.23278 + 1407 | 5.407387 5.681362 0.95 0.341 -5.738035 16.55281 + 1408 | 2.974661 5.390517 0.55 0.581 -7.600195 13.54952 + 1409 | 3.266709 5.190494 0.63 0.529 -6.915753 13.44917 + 1410 | 4.953092 4.836836 1.02 0.306 -4.535579 14.44176 + 1499 | -4.445495 4.514069 -0.98 0.325 -13.30098 4.409988 + 1500 | -.3106653 5.325057 -0.06 0.953 -10.75711 10.13577 + 1501 | 6.257102 3.997064 1.57 0.118 -1.584146 14.09835 + 1502 | 8.643435 5.097783 1.70 0.090 -1.357152 18.64402 + 1504 | 1.561878 4.765507 0.33 0.743 -7.786864 10.91062 + 1505 | 4.549099 5.559048 0.82 0.413 -6.356375 15.45457 + 1507 | -5.321152 4.597039 -1.16 0.247 -14.3394 3.697098 + 1520 | 3.231702 4.553025 0.71 0.478 -5.700204 12.16361 + 1521 | 8.066154 5.156997 1.56 0.118 -2.050594 18.1829 + 1522 | 13.89834 5.672659 2.45 0.014 2.769995 25.02669 + 1523 | 7.760098 4.365584 1.78 0.076 -.8040947 16.32429 + 1524 | 26.09068 7.320674 3.56 0.000 11.72934 40.45203 + 1525 | 3.483461 4.025084 0.87 0.387 -4.412756 11.37968 + 1526 | .0719458 6.423666 0.01 0.991 -12.52969 12.67358 + 1599 | 11.0453 6.247305 1.77 0.077 -1.210361 23.30097 + 1600 | 9.416165 5.187911 1.82 0.070 -.7612286 19.59356 + 1602 | -.2078514 5.247182 -0.04 0.968 -10.50152 10.08582 + 1603 | -1.201248 6.366384 -0.19 0.850 -13.69051 11.28802 + 1604 | 3.745643 6.677097 0.56 0.575 -9.353165 16.84445 + 1605 | 5.521967 5.28728 1.04 0.296 -4.850364 15.8943 + 1606 | 27.0536 8.602544 3.14 0.002 10.17754 43.92965 + 1608 | 9.2257 4.323868 2.13 0.033 .7433432 17.70806 + 1609 | 4.07794 6.1688 0.66 0.509 -8.023714 16.17959 + 1610 | 1.289541 5.994558 0.22 0.830 -10.47029 13.04938 + 1611 | 12.19518 9.241584 1.32 0.187 -5.934515 30.32488 + 1612 | 2.921031 4.94722 0.59 0.555 -6.784187 12.62625 + 1614 | -2.209143 5.673632 -0.39 0.697 -13.3394 8.921116 + 1615 | 2.377471 6.057857 0.39 0.695 -9.506541 14.26148 + 1616 | 5.629153 5.26192 1.07 0.285 -4.693429 15.95174 + 1617 | -2.998829 5.372622 -0.56 0.577 -13.53858 7.540922 + 1619 | -2.623028 4.816162 -0.54 0.586 -12.07114 6.825088 + 1620 | 14.02462 7.551924 1.86 0.064 -.7903845 28.83962 + 1698 | 29.03974 8.686388 3.34 0.001 11.9992 46.08027 + 1699 | 10.7644 6.704484 1.61 0.109 -2.388139 23.91693 + 1700 | 11.47847 6.491814 1.77 0.077 -1.256858 24.2138 + 1701 | .7782222 6.424333 0.12 0.904 -11.82473 13.38117 + 1704 | 26.6286 13.876 1.92 0.055 -.5926656 53.84987 + 1705 | 1.543807 6.997706 0.22 0.825 -12.18396 15.27157 + 1706 | 6.674071 7.089738 0.94 0.347 -7.234235 20.58238 + 1707 | 5.629207 5.625109 1.00 0.317 -5.405861 16.66427 + 1708 | 17.83295 5.770977 3.09 0.002 6.511726 29.15418 + 1709 | 1.606493 5.729513 0.28 0.779 -9.63339 12.84637 + 1798 | 11.35294 6.049885 1.88 0.061 -.5154329 23.22131 + 1799 | 11.76841 10.03684 1.17 0.241 -7.921384 31.4582 + 1800 | .4919418 5.593701 0.09 0.930 -10.48151 11.4654 + 1802 | 7.72053 4.899088 1.58 0.115 -1.890265 17.33133 + 1803 | 5.615832 4.689013 1.20 0.231 -3.582848 14.81451 + 1804 | 1.927181 4.592518 0.42 0.675 -7.0822 10.93656 + 1806 | 11.10201 6.042043 1.84 0.066 -.7509797 22.955 + 1807 | -5.385718 3.89909 -1.38 0.167 -13.03476 2.263329 + 1808 | -2.364451 6.666963 -0.35 0.723 -15.44338 10.71448 + 1899 | -.0800499 3.8668 -0.02 0.983 -7.665752 7.505652 + 1900 | 11.44266 5.184482 2.21 0.027 1.271989 21.61332 + 1901 | 3.994957 5.421677 0.74 0.461 -6.641028 14.63094 + 1902 | 8.290448 5.46882 1.52 0.130 -2.43802 19.01892 + 1905 | 23.03318 9.073447 2.54 0.011 5.23333 40.83303 + 1906 | 6.876771 5.368071 1.28 0.200 -3.654053 17.4076 + 1907 | 7.971608 6.796697 1.17 0.241 -5.361826 21.30504 + 1908 | 8.714076 10.65609 0.82 0.414 -12.19054 29.61869 + 1909 | 11.94774 7.644946 1.56 0.118 -3.049745 26.94523 + 1910 | -1.879058 4.620781 -0.41 0.684 -10.94388 7.185769 + 1911 | 2.922155 4.782277 0.61 0.541 -6.459486 12.3038 + 1912 | -2.62992 7.913277 -0.33 0.740 -18.15381 12.89397 + 1914 | -3.694278 4.132039 -0.89 0.371 -11.80031 4.411758 + 1915 | 7.976231 5.850735 1.36 0.173 -3.50146 19.45392 + 1919 | 14.43141 10.66793 1.35 0.176 -6.496424 35.35924 + 1920 | 15.48066 7.578776 2.04 0.041 .61298 30.34834 + 1925 | 3.175853 5.407746 0.59 0.557 -7.432804 13.78451 + 1926 | 1.650738 7.515025 0.22 0.826 -13.09188 16.39335 + 1927 | 3.704087 7.850918 0.47 0.637 -11.69747 19.10564 + 1929 | .5894627 6.920836 0.09 0.932 -12.9875 14.16643 + 1999 | -12.40316 4.161728 -2.98 0.003 -20.56743 -4.23888 + 2000 | 3.393747 4.102586 0.83 0.408 -4.65451 11.442 + 2001 | 6.55542 4.594476 1.43 0.154 -2.457801 15.56864 + 2002 | 7.118152 4.654909 1.53 0.126 -2.013625 16.24993 + 2003 | 6.652388 4.676153 1.42 0.155 -2.521065 15.82584 + 2004 | 7.533778 3.832432 1.97 0.050 .0154974 15.05206 + 2005 | 20.02873 10.77994 1.86 0.063 -1.118838 41.17629 + 2006 | 15.9507 5.305135 3.01 0.003 5.543344 26.35806 + 2007 | -4.895007 4.418918 -1.11 0.268 -13.56383 3.773813 + 2008 | 23.63426 5.033136 4.70 0.000 13.7605 33.50803 + 2009 | 11.18557 5.857624 1.91 0.056 -.3056304 22.67678 + 2011 | 5.190954 4.257638 1.22 0.223 -3.161475 13.54338 + 2012 | -.28045 3.997778 -0.07 0.944 -8.123098 7.562198 + 2013 | 1.966391 5.590288 0.35 0.725 -9.000368 12.93315 + 2014 | 15.63742 5.864248 2.67 0.008 4.133218 27.14162 + 2015 | 3.936002 5.350777 0.74 0.462 -6.560897 14.4329 + 2030 | 6.565381 5.914891 1.11 0.267 -5.038168 18.16893 + 2099 | -4.614628 8.457088 -0.55 0.585 -21.20534 11.97608 + 2100 | 3.611631 5.186463 0.70 0.486 -6.562922 13.78618 + 2101 | 7.723373 4.894031 1.58 0.115 -1.877502 17.32425 + 2102 | 5.111519 4.532008 1.13 0.260 -3.779156 14.00219 + 2103 | 3.216304 4.406992 0.73 0.466 -5.42912 11.86173 + 2104 | 8.160902 4.37325 1.87 0.062 -.4183299 16.74013 + 2105 | -2.088625 4.698522 -0.44 0.657 -11.30596 7.12871 + 2199 | -5.025612 5.151767 -0.98 0.329 -15.1321 5.080877 + 9999 | -.5596612 4.403269 -0.13 0.899 -9.197782 8.07846 + | + house_administration | -1.871083 1.382863 -1.35 0.176 -4.583917 .8417514 + house_agriculture | -2.184783 3.357831 -0.65 0.515 -8.772016 4.402449 + house_appropriations | -11.60797 1.42039 -8.17 0.000 -14.39442 -8.821515 + house_armedservices | -1.360167 3.26595 -0.42 0.677 -7.767151 5.046817 + house_budget | -5.404312 1.957417 -2.76 0.006 -9.244278 -1.564346 + house_dc | -12.36282 4.650064 -2.66 0.008 -21.48509 -3.240552 + house_educlabor | -3.461531 1.326768 -2.61 0.009 -6.064321 -.8587407 + house_energycommerce | -1.222712 1.19498 -1.02 0.306 -3.566967 1.121543 + house_foreignaffairs | .48296 2.837667 0.17 0.865 -5.083838 6.049758 + house_governmentop | 2.031907 1.785957 1.14 0.255 -1.471698 5.535512 + house_intelligence | -1.447378 5.738426 -0.25 0.801 -12.70475 9.80999 + house_interior | -.6740785 2.180459 -0.31 0.757 -4.951598 3.603442 + house_judiciary | .5618686 1.057194 0.53 0.595 -1.512084 2.635821 + house_mmf | 8.861996 3.287529 2.70 0.007 2.41268 15.31131 + house_pocs | -.3640669 1.977633 -0.18 0.854 -4.243692 3.515558 + house_pwt | 1.016391 2.374842 0.43 0.669 -3.642459 5.675241 + house_rules | -1.680598 1.366558 -1.23 0.219 -4.361446 1.000251 + house_sst | .4672815 2.434026 0.19 0.848 -4.307675 5.242238 + house_smallbusi | -4.373125 3.306497 -1.32 0.186 -10.85965 2.113403 + house_soc | .8914326 8.32132 0.11 0.915 -15.43293 17.2158 + house_veterans | 1.236901 4.277121 0.29 0.772 -7.15375 9.627551 + house_waysandmeans | -.6279926 1.019735 -0.62 0.538 -2.62846 1.372475 +house_naturalresources | 1.129008 4.066194 0.28 0.781 -6.847856 9.105873 + house_bfs | -2.598336 1.295155 -2.01 0.045 -5.139108 -.0575639 + house_eeo | -2.146796 1.815556 -1.18 0.237 -5.708467 1.414875 + house_govreform | 2.580449 1.69823 1.52 0.129 -.7510572 5.911956 + house_ir | 2.513854 2.370123 1.06 0.289 -2.135739 7.163446 + house_natsecur | 3.606113 3.655019 0.99 0.324 -3.564127 10.77635 + house_oversight | -1.409912 1.796977 -0.78 0.433 -4.935135 2.11531 + house_resources | -2.469959 2.395904 -1.03 0.303 -7.170129 2.230211 + house_science | -1.654303 2.117736 -0.78 0.435 -5.808775 2.50017 + house_transp | -3.611961 1.400679 -2.58 0.010 -6.359747 -.8641759 + house_homeland | 5.396651 3.791184 1.42 0.155 -2.040712 12.83401 + _cons | 9.52194 3.757673 2.53 0.011 2.150317 16.89356 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,329 1 0 1 1 + + +j = 4 k = 3 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female_l1 if sponsor_party_l1==200 & tag_bill==1 & sponsor_female==0, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 3274 +----------------------+---------------------- NN matches = 3 + Number of obs | 3103 171 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of MV1_female_l1 | 78.154 29.857 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 18.39098 27.97511 .6574051 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female_l1)) +(29,464 missing values generated) +(57,980 missing values generated) +(28,516 real changes made) +reg pct_cosponsors_opposite sponsor_female_l1 i.v2 i.minor house_* [aw=wt] if sponsor_party_l1==200 & tag_bill==1 & sponsor_female==0, robust cluster(group_sponsor) +(sum of wgt is 24,729.8189218044) + +Linear regression Number of obs = 15,384 + F(261, 1270) = . + Prob > F = . + R-squared = 0.2452 + Root MSE = 20.881 + + (Std. Err. adjusted for 1,271 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female_l1 | .5146174 1.863343 0.28 0.782 -3.140951 4.170185 + | + v2 | + 103 | 2.410882 2.95019 0.82 0.414 -3.3769 8.198664 + 104 | 2.553142 3.003123 0.85 0.395 -3.338487 8.44477 + 105 | 6.510363 3.125933 2.08 0.037 .3778021 12.64292 + 106 | 3.790793 3.503463 1.08 0.279 -3.082419 10.66401 + 108 | 8.26424 3.180777 2.60 0.009 2.024085 14.5044 + 109 | 5.984773 3.095458 1.93 0.053 -.0880002 12.05755 + | + minor | + 101 | .5230291 9.037543 0.06 0.954 -17.20713 18.25319 + 103 | -6.22424 6.378954 -0.98 0.329 -18.73869 6.290206 + 104 | -2.689263 6.352829 -0.42 0.672 -15.15246 9.773932 + 105 | 7.779226 5.958274 1.31 0.192 -3.909917 19.46837 + 107 | 6.812953 6.11997 1.11 0.266 -5.19341 18.81932 + 108 | 18.56753 10.89571 1.70 0.089 -2.808044 39.9431 + 200 | 6.226928 6.251261 1.00 0.319 -6.037006 18.49086 + 201 | 51.9252 6.623345 7.84 0.000 38.9313 64.9191 + 202 | 39.03818 14.10481 2.77 0.006 11.3669 66.70947 + 204 | 28.09926 9.336824 3.01 0.003 9.781967 46.41656 + 205 | 19.84506 9.191204 2.16 0.031 1.813445 37.87667 + 206 | 4.140939 7.545585 0.55 0.583 -10.66224 18.94412 + 207 | -.918725 7.445534 -0.12 0.902 -15.52562 13.68817 + 208 | 4.510667 6.476748 0.70 0.486 -8.195636 17.21697 + 209 | -1.106926 6.167338 -0.18 0.858 -13.20622 10.99237 + 299 | 8.055352 6.011244 1.34 0.180 -3.737709 19.84841 + 300 | 6.931616 7.634685 0.91 0.364 -8.046366 21.9096 + 301 | 2.099967 6.673025 0.31 0.753 -10.9914 15.19133 + 302 | 7.377051 7.005244 1.05 0.293 -6.366072 21.12017 + 321 | 4.748767 7.217509 0.66 0.511 -9.410785 18.90832 + 322 | 27.00377 6.178446 4.37 0.000 14.88269 39.12485 + 323 | 13.332 6.923242 1.93 0.054 -.2502476 26.91425 + 324 | -.914007 7.341466 -0.12 0.901 -15.31674 13.48873 + 325 | 16.00091 8.860253 1.81 0.071 -1.38143 33.38325 + 331 | 2.435749 10.74586 0.23 0.821 -18.64584 23.51733 + 332 | 8.960598 9.982522 0.90 0.370 -10.62345 28.54465 + 333 | -4.70933 7.423276 -0.63 0.526 -19.27256 9.853903 + 334 | 11.61485 6.465317 1.80 0.073 -1.06903 24.29872 + 335 | 1.877253 9.595185 0.20 0.845 -16.9469 20.70141 + 336 | 7.620814 7.854193 0.97 0.332 -7.787807 23.02943 + 341 | 30.48241 10.59137 2.88 0.004 9.703907 51.26091 + 342 | 26.1108 7.972851 3.27 0.001 10.46939 41.75221 + 343 | 12.60273 8.1489 1.55 0.122 -3.38406 28.58951 + 344 | 35.48873 12.11292 2.93 0.003 11.7252 59.25226 + 398 | 23.08505 7.665011 3.01 0.003 8.047576 38.12253 + 399 | -5.781965 8.318549 -0.70 0.487 -22.10157 10.53764 + 400 | 8.241722 6.966485 1.18 0.237 -5.425364 21.90881 + 401 | 8.106497 6.559051 1.24 0.217 -4.761269 20.97426 + 402 | 12.75556 5.971853 2.14 0.033 1.039778 24.47134 + 403 | 7.555398 5.842436 1.29 0.196 -3.90649 19.01729 + 404 | 8.889933 6.792435 1.31 0.191 -4.435694 22.21556 + 405 | 25.85384 8.714954 2.97 0.003 8.756555 42.95113 + 498 | 12.77295 7.90835 1.62 0.107 -2.741917 28.28782 + 499 | 7.024895 6.906836 1.02 0.309 -6.525169 20.57496 + 500 | 56.64744 7.384952 7.67 0.000 42.15939 71.13548 + 501 | 3.315945 6.693304 0.50 0.620 -9.815204 16.44709 + 502 | .084835 6.328234 0.01 0.989 -12.33011 12.49978 + 503 | 4.696615 6.309039 0.74 0.457 -7.68067 17.0739 + 504 | -9.571461 6.43148 -1.49 0.137 -22.18895 3.046033 + 505 | 8.745875 6.645522 1.32 0.188 -4.291534 21.78328 + 506 | 11.4266 8.64929 1.32 0.187 -5.541867 28.39507 + 508 | 34.60174 8.358235 4.14 0.000 18.20428 50.99921 + 529 | 12.48696 7.401985 1.69 0.092 -2.034502 27.00842 + 530 | 12.06341 6.066679 1.99 0.047 .1615953 23.96522 + 599 | -10.00533 6.505393 -1.54 0.124 -22.76783 2.757174 + 600 | -7.610788 7.002707 -1.09 0.277 -21.34893 6.127359 + 601 | 12.7205 6.919613 1.84 0.066 -.8546337 26.29563 + 602 | 6.786987 6.199993 1.09 0.274 -5.376367 18.95034 + 603 | -.905004 6.44799 -0.14 0.888 -13.55489 11.74488 + 604 | 9.383336 10.48626 0.89 0.371 -11.18897 29.95564 + 606 | 5.44137 8.209504 0.66 0.508 -10.66431 21.54705 + 607 | 14.57795 7.489415 1.95 0.052 -.1150371 29.27093 + 609 | 15.0235 8.237675 1.82 0.068 -1.13745 31.18445 + 698 | 14.38162 13.46397 1.07 0.286 -12.03245 40.79569 + 699 | 3.173326 7.911452 0.40 0.688 -12.34763 18.69428 + 700 | 13.61768 6.523398 2.09 0.037 .8198601 26.41551 + 701 | 6.799889 5.871823 1.16 0.247 -4.719652 18.31943 + 703 | 6.953361 8.862642 0.78 0.433 -10.43367 24.34039 + 704 | 4.984271 5.979595 0.83 0.405 -6.746699 16.71524 + 705 | -.6886028 6.11405 -0.11 0.910 -12.68335 11.30615 + 707 | -6.649798 10.31678 -0.64 0.519 -26.88961 13.59001 + 708 | 9.68503 8.741155 1.11 0.268 -7.463662 26.83372 + 709 | 23.4578 6.463435 3.63 0.000 10.77762 36.13799 + 710 | 20.89658 7.215243 2.90 0.004 6.741472 35.05169 + 711 | 5.349859 7.643628 0.70 0.484 -9.645668 20.34539 + 798 | 20.76165 8.419567 2.47 0.014 4.24386 37.27944 + 799 | 12.09479 8.698191 1.39 0.165 -4.969613 29.1592 + 800 | 9.226981 6.647869 1.39 0.165 -3.815032 22.26899 + 801 | 4.502443 5.926258 0.76 0.448 -7.123891 16.12878 + 802 | 5.516404 6.476144 0.85 0.394 -7.188714 18.22152 + 803 | 24.06982 10.81128 2.23 0.026 2.859901 45.27975 + 805 | 10.14349 7.645085 1.33 0.185 -4.854894 25.14188 + 806 | 8.508539 7.526364 1.13 0.258 -6.256935 23.27401 + 807 | 13.40559 7.098747 1.89 0.059 -.5209684 27.33215 + 898 | 8.237913 10.43697 0.79 0.430 -12.2377 28.71352 + 899 | 9.730887 17.71099 0.55 0.583 -25.01512 44.4769 + 1000 | 8.045564 6.354411 1.27 0.206 -4.420733 20.51186 + 1001 | 21.45237 7.275361 2.95 0.003 7.179324 35.72542 + 1002 | -.7219048 7.217469 -0.10 0.920 -14.88138 13.43757 + 1003 | 12.40729 5.962127 2.08 0.038 .7105914 24.10399 + 1005 | 12.1016 7.24396 1.67 0.095 -2.109849 26.31304 + 1006 | 24.15361 10.03319 2.41 0.016 4.470162 43.83707 + 1007 | 5.180511 7.829139 0.66 0.508 -10.17896 20.53998 + 1010 | 9.997508 10.01449 1.00 0.318 -9.649265 29.64428 + 1098 | 10.93415 8.17676 1.34 0.181 -5.107289 26.9756 + 1099 | 6.303364 15.28844 0.41 0.680 -23.69002 36.29674 + 1200 | 11.08514 6.913309 1.60 0.109 -2.47762 24.6479 + 1201 | 22.09059 6.597284 3.35 0.001 9.147814 35.03336 + 1202 | 17.07361 8.262288 2.07 0.039 .8643735 33.28284 + 1203 | 14.5468 10.27367 1.42 0.157 -5.608429 34.70203 + 1204 | 8.11975 6.35021 1.28 0.201 -4.338305 20.57781 + 1205 | 8.634997 6.650985 1.30 0.194 -4.41313 21.68312 + 1206 | 9.393889 7.280639 1.29 0.197 -4.889514 23.67729 + 1207 | 15.50681 6.447879 2.40 0.016 2.857148 28.15648 + 1208 | 22.09548 12.24041 1.81 0.071 -1.918169 46.10912 + 1209 | 17.08579 6.652695 2.57 0.010 4.034308 30.13727 + 1210 | 14.2779 6.842983 2.09 0.037 .853105 27.70269 + 1211 | 17.56021 6.987364 2.51 0.012 3.852162 31.26825 + 1299 | 3.835971 9.023707 0.43 0.671 -13.86704 21.53898 + 1300 | -.2239825 6.597535 -0.03 0.973 -13.16725 12.71928 + 1301 | 7.262582 6.508923 1.12 0.265 -5.506843 20.03201 + 1302 | 6.844418 6.906939 0.99 0.322 -6.705848 20.39468 + 1303 | 5.20459 6.014234 0.87 0.387 -6.594336 17.00352 + 1304 | 6.93776 6.499194 1.07 0.286 -5.812579 19.6881 + 1305 | 18.24394 7.955815 2.29 0.022 2.635956 33.85193 + 1399 | 4.177033 9.557157 0.44 0.662 -14.57252 22.92659 + 1400 | 5.298061 6.679567 0.79 0.428 -7.806138 18.40226 + 1401 | 11.69678 7.320991 1.60 0.110 -2.665784 26.05935 + 1403 | 15.84363 10.93892 1.45 0.148 -5.616724 37.30398 + 1404 | 9.470771 8.189019 1.16 0.248 -6.594721 25.53626 + 1405 | 16.63421 7.658114 2.17 0.030 1.610268 31.65816 + 1406 | 23.65005 9.07331 2.61 0.009 5.849723 41.45037 + 1407 | 20.66246 9.025606 2.29 0.022 2.955717 38.36919 + 1408 | -6.221518 6.063242 -1.03 0.305 -18.11659 5.673555 + 1409 | 16.48438 6.440163 2.56 0.011 3.849847 29.1189 + 1410 | 17.76596 7.497831 2.37 0.018 3.056458 32.47545 + 1499 | 5.423662 8.683755 0.62 0.532 -11.61242 22.45975 + 1500 | 6.121068 7.590281 0.81 0.420 -8.7698 21.01194 + 1501 | 4.527173 6.70818 0.67 0.500 -8.63316 17.68751 + 1502 | 13.06625 6.471964 2.02 0.044 .3693318 25.76317 + 1504 | 20.30817 8.736175 2.32 0.020 3.169245 37.44709 + 1505 | 19.11991 6.74052 2.84 0.005 5.896126 32.34368 + 1507 | 5.733541 8.971587 0.64 0.523 -11.86722 23.3343 + 1520 | 7.325408 8.79943 0.83 0.405 -9.937611 24.58843 + 1521 | 1.106205 5.868611 0.19 0.851 -10.40703 12.61944 + 1522 | 20.26851 8.998569 2.25 0.024 2.614819 37.92221 + 1523 | 14.59905 6.602451 2.21 0.027 1.646143 27.55197 + 1524 | -14.91571 7.797755 -1.91 0.056 -30.21361 .3821839 + 1525 | 10.6013 6.377208 1.66 0.097 -1.909717 23.11233 + 1526 | 19.7447 6.714945 2.94 0.003 6.571096 32.91831 + 1599 | 16.48031 6.214919 2.65 0.008 4.287668 28.67294 + 1600 | 13.54172 6.653643 2.04 0.042 .4883829 26.59506 + 1602 | 3.735925 8.750434 0.43 0.669 -13.43097 20.90282 + 1603 | 10.70209 7.54205 1.42 0.156 -4.094153 25.49834 + 1604 | 15.01624 8.047267 1.87 0.062 -.7711597 30.80364 + 1605 | 13.39962 7.01442 1.91 0.056 -.3615031 27.16075 + 1606 | 22.51702 8.468483 2.66 0.008 5.903266 39.13078 + 1608 | 17.46999 6.060589 2.88 0.004 5.580119 29.35985 + 1609 | 20.21072 7.481998 2.70 0.007 5.532282 34.88915 + 1610 | 13.76624 8.5076 1.62 0.106 -2.924258 30.45673 + 1611 | 13.9758 6.817143 2.05 0.041 .6016978 27.3499 + 1612 | 15.65491 6.829833 2.29 0.022 2.255917 29.05391 + 1614 | -1.194054 7.248029 -0.16 0.869 -15.41348 13.02537 + 1615 | 19.46643 10.46681 1.86 0.063 -1.067698 40.00056 + 1616 | 10.13887 6.152767 1.65 0.100 -1.931835 22.20957 + 1617 | 28.75425 8.333673 3.45 0.001 12.40497 45.10353 + 1619 | 10.45298 8.579381 1.22 0.223 -6.378341 27.2843 + 1620 | 24.01594 8.63358 2.78 0.005 7.078288 40.95358 + 1698 | 6.939292 8.648698 0.80 0.423 -10.02801 23.9066 + 1699 | 26.0943 7.12157 3.66 0.000 12.12297 40.06564 + 1700 | 9.396298 7.894564 1.19 0.234 -6.091524 24.88412 + 1701 | 15.10784 7.271532 2.08 0.038 .8423045 29.37338 + 1704 | 14.58603 7.342734 1.99 0.047 .1808027 28.99125 + 1705 | 12.4456 13.09493 0.95 0.342 -13.24447 38.13567 + 1706 | 24.39208 8.789942 2.77 0.006 7.147678 41.63648 + 1707 | 31.46166 11.75395 2.68 0.008 8.402364 54.52096 + 1708 | 13.60798 8.053768 1.69 0.091 -2.19217 29.40814 + 1709 | 6.214262 8.354633 0.74 0.457 -10.17614 22.60466 + 1798 | 21.10564 8.853786 2.38 0.017 3.735981 38.47529 + 1799 | -2.269802 9.34775 -0.24 0.808 -20.60853 16.06893 + 1800 | 6.733641 6.571165 1.02 0.306 -6.157892 19.62517 + 1802 | 14.74157 6.276313 2.35 0.019 2.428489 27.05465 + 1803 | 4.718383 6.146253 0.77 0.443 -7.339544 16.77631 + 1804 | 11.16186 7.068029 1.58 0.115 -2.704437 25.02816 + 1806 | -1.519871 6.135855 -0.25 0.804 -13.5574 10.51766 + 1807 | -1.949397 5.872496 -0.33 0.740 -13.47026 9.571462 + 1808 | -6.777561 8.282115 -0.82 0.413 -23.02569 9.470571 + 1899 | -2.605362 9.031968 -0.29 0.773 -20.32458 15.11386 + 1900 | 10.8987 7.210489 1.51 0.131 -3.247085 25.04448 + 1901 | 27.52872 11.71701 2.35 0.019 4.541885 50.51555 + 1902 | 18.9699 7.481335 2.54 0.011 4.292764 33.64703 + 1905 | 33.31337 8.482394 3.93 0.000 16.67232 49.95442 + 1906 | 6.059294 7.22215 0.84 0.402 -8.109363 20.22795 + 1907 | 18.93688 8.574802 2.21 0.027 2.114541 35.75921 + 1908 | 4.445703 9.349852 0.48 0.635 -13.89715 22.78856 + 1909 | 22.93837 12.22771 1.88 0.061 -1.050366 46.9271 + 1910 | 16.35811 13.59574 1.20 0.229 -10.31446 43.03069 + 1911 | 12.80487 12.13563 1.06 0.292 -11.00323 36.61296 + 1912 | -6.102298 6.248947 -0.98 0.329 -18.36169 6.157097 + 1914 | 14.47436 7.741966 1.87 0.062 -.7140935 29.66281 + 1915 | 23.85183 10.34193 2.31 0.021 3.562684 44.14099 + 1919 | 18.74729 7.600146 2.47 0.014 3.837066 33.65751 + 1920 | 7.299327 7.160414 1.02 0.308 -6.748214 21.34687 + 1925 | 25.47976 7.743928 3.29 0.001 10.28746 40.67206 + 1926 | 5.664554 7.163536 0.79 0.429 -8.389112 19.71822 + 1927 | 13.84037 7.432607 1.86 0.063 -.7411729 28.42191 + 1929 | 2.27541 6.936824 0.33 0.743 -11.33348 15.8843 + 1999 | 7.730865 14.13977 0.55 0.585 -20.00902 35.47075 + 2000 | 7.266901 5.763603 1.26 0.208 -4.040329 18.57413 + 2001 | 1.454085 6.331377 0.23 0.818 -10.96702 13.87519 + 2002 | 4.056255 6.204207 0.65 0.513 -8.115366 16.22788 + 2003 | 14.6006 6.502686 2.25 0.025 1.843412 27.35779 + 2004 | 12.20612 6.222423 1.96 0.050 -.0012365 24.41348 + 2005 | 8.924954 9.463293 0.94 0.346 -9.640452 27.49036 + 2006 | 50.88498 10.31438 4.93 0.000 30.64988 71.12008 + 2007 | -.642787 5.963947 -0.11 0.914 -12.34306 11.05749 + 2008 | 15.84042 6.54094 2.42 0.016 3.008183 28.67266 + 2009 | 1.665178 6.834571 0.24 0.808 -11.74311 15.07347 + 2011 | 7.40985 6.180393 1.20 0.231 -4.715053 19.53475 + 2012 | 7.63441 7.319211 1.04 0.297 -6.724665 21.99349 + 2013 | 8.594894 8.391669 1.02 0.306 -7.868164 25.05795 + 2014 | 11.03819 7.117681 1.55 0.121 -2.925519 25.0019 + 2015 | -3.42358 6.172675 -0.55 0.579 -15.53334 8.686182 + 2030 | 6.545428 8.580137 0.76 0.446 -10.28737 23.37823 + 2099 | 27.90401 6.809708 4.10 0.000 14.5445 41.26353 + 2100 | 6.780247 6.816529 0.99 0.320 -6.592649 20.15314 + 2101 | 18.27416 6.623172 2.76 0.006 5.280598 31.26772 + 2102 | 24.53138 7.004712 3.50 0.000 10.7893 38.27346 + 2103 | 4.513278 6.187855 0.73 0.466 -7.626264 16.65282 + 2104 | 5.602851 6.28284 0.89 0.373 -6.723035 17.92874 + 2105 | 22.83267 7.261942 3.14 0.002 8.585944 37.07939 + 2199 | -6.215809 8.871669 -0.70 0.484 -23.62055 11.18893 + 9999 | -1.071397 6.695022 -0.16 0.873 -14.20592 12.06312 + | + house_administration | -.0494246 3.74379 -0.01 0.989 -7.394119 7.295269 + house_agriculture | 6.446883 2.211606 2.92 0.004 2.10808 10.78569 + house_appropriations | -14.77743 1.542088 -9.58 0.000 -17.80275 -11.75211 + house_armedservices | -2.615357 2.691326 -0.97 0.331 -7.89529 2.664577 + house_budget | -4.391604 2.170602 -2.02 0.043 -8.649963 -.1332437 + house_dc | -1.902495 8.416147 -0.23 0.821 -18.41358 14.60859 + house_educlabor | 2.89575 2.165259 1.34 0.181 -1.352128 7.143629 + house_energycommerce | 4.151271 1.325498 3.13 0.002 1.550864 6.751679 + house_foreignaffairs | 4.614695 3.264981 1.41 0.158 -1.790654 11.02004 + house_governmentop | -1.994682 2.633602 -0.76 0.449 -7.16137 3.172007 + house_intelligence | -4.519996 5.416957 -0.83 0.404 -15.14717 6.107173 + house_interior | 1.734909 3.527122 0.49 0.623 -5.184717 8.654535 + house_judiciary | -5.125813 2.033947 -2.52 0.012 -9.116079 -1.135547 + house_mmf | -4.389026 2.446656 -1.79 0.073 -9.188957 .4109059 + house_pocs | 2.902382 2.670312 1.09 0.277 -2.336325 8.141089 + house_pwt | 2.901685 2.293782 1.27 0.206 -1.598333 7.401703 + house_rules | -1.242601 1.305945 -0.95 0.342 -3.804647 1.319445 + house_sst | 2.957485 4.673204 0.63 0.527 -6.210565 12.12553 + house_smallbusi | 10.44136 4.963005 2.10 0.036 .704772 20.17795 + house_soc | -8.585614 2.230765 -3.85 0.000 -12.962 -4.209223 + house_veterans | 7.238413 2.280615 3.17 0.002 2.764226 11.7126 + house_waysandmeans | .5636942 1.201369 0.47 0.639 -1.793191 2.92058 +house_naturalresources | -11.71909 2.925947 -4.01 0.000 -17.45931 -5.978866 + house_bfs | 4.458198 3.112252 1.43 0.152 -1.647523 10.56392 + house_eeo | -4.891374 2.214138 -2.21 0.027 -9.235143 -.5476043 + house_govreform | 1.603072 1.909157 0.84 0.401 -2.142377 5.34852 + house_ir | 5.376379 2.291851 2.35 0.019 .8801496 9.872609 + house_natsecur | -.6021232 2.243075 -0.27 0.788 -5.002663 3.798417 + house_oversight | -.5104929 3.323983 -0.15 0.878 -7.031595 6.010609 + house_resources | -6.542437 1.100881 -5.94 0.000 -8.702183 -4.382691 + house_science | 4.488794 2.31389 1.94 0.053 -.0506739 9.028262 + house_transp | 4.597087 2.467582 1.86 0.063 -.243898 9.438072 + house_homeland | 6.513239 5.750207 1.13 0.258 -4.767709 17.79419 + _cons | 3.200613 6.185167 0.52 0.605 -8.933656 15.33488 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,271 1 0 1 1 + + +j = 5 k = 1 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female_l1 if tag_bill==1 & sponsor_female==0, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 5144 +----------------------+---------------------- NN matches = 3 + Number of obs | 4450 694 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of MV1_female_l1 | 99.716 73.923 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 11.87532 21.08255 .563277 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female_l1)) +(29,270 missing values generated) +(57,217 missing values generated) +(27,947 real changes made) +reg pct_cosponsors_opposite sponsor_female_l1 i.v2 i.minor house_* [aw=wt] if tag_bill==1 & sponsor_female==0, robust cluster(group_sponsor) +(sum of wgt is 47,887.6714980602) + +Linear regression Number of obs = 28,144 + F(264, 2426) = 65.84 + Prob > F = 0.0000 + R-squared = 0.1674 + Root MSE = 19.728 + + (Std. Err. adjusted for 2,427 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female_l1 | -.1091348 1.311624 -0.08 0.934 -2.681154 2.462884 + | + v2 | + 103 | 1.144696 .99437 1.15 0.250 -.8052064 3.094598 + 104 | 2.380269 .9779334 2.43 0.015 .4625984 4.29794 + 105 | 3.078866 1.318648 2.33 0.020 .4930725 5.664659 + 106 | 3.61422 1.206692 3.00 0.003 1.247967 5.980474 + 108 | 4.420278 1.302281 3.39 0.001 1.866579 6.973976 + 109 | 6.353973 2.381502 2.67 0.008 1.683985 11.02396 + 110 | 1.433236 1.07693 1.33 0.183 -.6785622 3.545035 + | + minor | + 101 | 3.954638 5.072509 0.78 0.436 -5.99226 13.90154 + 103 | 7.532958 8.534537 0.88 0.378 -9.202776 24.26869 + 104 | 6.773667 3.409838 1.99 0.047 .0871708 13.46016 + 105 | 10.30623 2.508815 4.11 0.000 5.386584 15.22587 + 107 | 6.757968 2.516578 2.69 0.007 1.823105 11.69283 + 108 | 5.75909 5.423067 1.06 0.288 -4.87523 16.39341 + 200 | 4.486646 2.521196 1.78 0.075 -.4572726 9.430565 + 201 | -4.256635 2.945125 -1.45 0.148 -10.03185 1.518585 + 202 | 5.943144 5.512353 1.08 0.281 -4.866262 16.75255 + 204 | 23.64795 6.920291 3.42 0.001 10.07766 37.21824 + 205 | 18.98205 6.534344 2.90 0.004 6.168581 31.79553 + 206 | 2.050645 3.019403 0.68 0.497 -3.870229 7.97152 + 207 | 4.076968 3.150098 1.29 0.196 -2.100193 10.25413 + 208 | 9.113762 3.13535 2.91 0.004 2.965522 15.262 + 209 | -1.329409 4.795144 -0.28 0.782 -10.73241 8.073591 + 299 | 10.08723 2.621201 3.85 0.000 4.947209 15.22726 + 300 | 8.235509 3.524354 2.34 0.020 1.324454 15.14656 + 301 | 8.482538 2.535454 3.35 0.001 3.510659 13.45442 + 302 | 12.99771 2.949341 4.41 0.000 7.214223 18.7812 + 321 | 13.34875 2.979414 4.48 0.000 7.506289 19.19121 + 322 | 23.87115 3.308367 7.22 0.000 17.38364 30.35867 + 323 | 17.55994 3.10925 5.65 0.000 11.46288 23.65701 + 324 | 3.184958 2.874161 1.11 0.268 -2.451107 8.821022 + 325 | 26.72579 5.928903 4.51 0.000 15.09955 38.35203 + 331 | 21.79779 4.803463 4.54 0.000 12.37847 31.2171 + 332 | 14.46127 3.311923 4.37 0.000 7.966783 20.95576 + 333 | 8.578367 4.148255 2.07 0.039 .4438772 16.71286 + 334 | 18.94148 3.176859 5.96 0.000 12.71184 25.17111 + 335 | 6.716876 2.816293 2.39 0.017 1.194288 12.23946 + 336 | 27.93012 6.462652 4.32 0.000 15.25724 40.60301 + 341 | 16.55619 3.596265 4.60 0.000 9.504119 23.60825 + 342 | 14.5341 6.597634 2.20 0.028 1.596519 27.47168 + 343 | 2.494644 7.071623 0.35 0.724 -11.3724 16.36169 + 344 | 13.74054 6.409116 2.14 0.032 1.172629 26.30844 + 398 | 23.50338 3.161542 7.43 0.000 17.30378 29.70298 + 399 | 11.11983 4.495169 2.47 0.013 2.305059 19.93459 + 400 | 11.05997 4.102142 2.70 0.007 3.015908 19.10404 + 401 | 15.40743 3.772404 4.08 0.000 8.00996 22.80489 + 402 | 14.32905 3.016433 4.75 0.000 8.413994 20.2441 + 403 | 6.418547 4.55399 1.41 0.159 -2.511564 15.34866 + 404 | -5.390643 2.84726 -1.89 0.058 -10.97395 .1926691 + 405 | 28.49684 5.330731 5.35 0.000 18.04358 38.95009 + 498 | 15.76161 4.614842 3.42 0.001 6.712167 24.81105 + 499 | 10.33014 4.246083 2.43 0.015 2.003814 18.65646 + 500 | 38.0783 15.7712 2.41 0.016 7.151885 69.00472 + 501 | 6.815669 2.888211 2.36 0.018 1.152054 12.47928 + 502 | 4.711826 2.925017 1.61 0.107 -1.023963 10.44762 + 503 | 8.092923 2.595734 3.12 0.002 3.002839 13.18301 + 504 | 2.78528 2.560638 1.09 0.277 -2.235983 7.806543 + 505 | 6.912393 3.141726 2.20 0.028 .7516497 13.07314 + 506 | 8.113073 3.029971 2.68 0.007 2.171475 14.05467 + 508 | 9.889412 3.591401 2.75 0.006 2.846881 16.93194 + 529 | 18.89818 4.398563 4.30 0.000 10.27285 27.52351 + 530 | 10.12583 2.382647 4.25 0.000 5.453595 14.79806 + 599 | 14.74235 5.33308 2.76 0.006 4.284483 25.20021 + 600 | 2.766767 2.70592 1.02 0.307 -2.539387 8.072921 + 601 | 13.22095 4.110284 3.22 0.001 5.16092 21.28098 + 602 | 8.720564 2.538289 3.44 0.001 3.743127 13.698 + 603 | 6.554185 3.044762 2.15 0.031 .5835828 12.52479 + 604 | 13.30071 4.451566 2.99 0.003 4.571443 22.02997 + 606 | 10.59977 3.795647 2.79 0.005 3.156727 18.04282 + 607 | 21.15208 7.520989 2.81 0.005 6.403859 35.90031 + 609 | 17.94028 5.597592 3.20 0.001 6.963722 28.91683 + 698 | 8.42233 8.221015 1.02 0.306 -7.698606 24.54327 + 699 | 6.543757 3.539476 1.85 0.065 -.3969513 13.48447 + 700 | 14.7752 4.165262 3.55 0.000 6.607357 22.94303 + 701 | 10.18369 3.494776 2.91 0.004 3.330632 17.03674 + 703 | 14.29932 2.834935 5.04 0.000 8.740181 19.85847 + 704 | 10.83465 2.695087 4.02 0.000 5.549743 16.11957 + 705 | 19.14301 7.638706 2.51 0.012 4.163952 34.12207 + 707 | 8.110007 5.683412 1.43 0.154 -3.034836 19.25485 + 708 | 5.404601 3.526335 1.53 0.125 -1.510339 12.31954 + 709 | 21.73429 3.758321 5.78 0.000 14.36444 29.10414 + 710 | 15.6789 3.041158 5.16 0.000 9.715361 21.64243 + 711 | 12.33576 3.709633 3.33 0.001 5.06138 19.61013 + 798 | 18.93236 4.994509 3.79 0.000 9.138417 28.7263 + 799 | 15.16362 4.809904 3.15 0.002 5.731678 24.59557 + 800 | 9.931833 3.015327 3.29 0.001 4.01895 15.84472 + 801 | 14.31345 3.367567 4.25 0.000 7.709849 20.91706 + 802 | 11.6568 3.910022 2.98 0.003 3.989475 19.32413 + 803 | 22.62433 3.012067 7.51 0.000 16.71784 28.53082 + 805 | 17.2182 4.390998 3.92 0.000 8.607711 25.8287 + 806 | 12.14493 3.314872 3.66 0.000 5.644652 18.6452 + 807 | 9.941192 3.331636 2.98 0.003 3.408047 16.47434 + 898 | 9.99211 6.987985 1.43 0.153 -3.710924 23.69515 + 899 | 2.589569 7.120496 0.36 0.716 -11.37331 16.55245 + 1000 | 14.39767 3.543206 4.06 0.000 7.449643 21.34569 + 1001 | 13.65069 4.034185 3.38 0.001 5.739886 21.56149 + 1002 | 6.815945 4.422858 1.54 0.123 -1.857025 15.48891 + 1003 | 11.69797 3.700104 3.16 0.002 4.442277 18.95366 + 1005 | 13.07273 3.506669 3.73 0.000 6.196357 19.94911 + 1006 | 13.88594 4.518535 3.07 0.002 5.025349 22.74652 + 1007 | 7.019822 4.334579 1.62 0.105 -1.480038 15.51968 + 1010 | 12.52303 4.883329 2.56 0.010 2.947104 22.09896 + 1098 | .6845417 4.930625 0.14 0.890 -8.984129 10.35321 + 1099 | 7.141799 10.9123 0.65 0.513 -14.2566 28.54019 + 1200 | 13.08037 4.316153 3.03 0.002 4.616645 21.5441 + 1201 | 15.42124 2.909806 5.30 0.000 9.71528 21.1272 + 1202 | 16.11573 4.578989 3.52 0.000 7.136594 25.09486 + 1203 | 10.12106 3.654503 2.77 0.006 2.954789 17.28733 + 1204 | 9.314619 2.783793 3.35 0.001 3.855761 14.77348 + 1205 | 11.29137 2.912392 3.88 0.000 5.580332 17.0024 + 1206 | 5.619236 3.118131 1.80 0.072 -.4952391 11.73371 + 1207 | 13.89166 3.155114 4.40 0.000 7.704664 20.07865 + 1208 | 21.51855 8.550002 2.52 0.012 4.752489 38.28461 + 1209 | 13.39066 2.449228 5.47 0.000 8.587862 18.19345 + 1210 | 13.5056 4.128468 3.27 0.001 5.409917 21.60129 + 1211 | 26.9672 9.353492 2.88 0.004 8.625537 45.30886 + 1299 | 22.81703 9.975079 2.29 0.022 3.256477 42.37758 + 1300 | 7.36676 3.164203 2.33 0.020 1.161941 13.57158 + 1301 | 11.10056 3.640906 3.05 0.002 3.960955 18.24017 + 1302 | 5.344405 3.125421 1.71 0.087 -.7843653 11.47318 + 1303 | 11.61273 3.492178 3.33 0.001 4.76477 18.46069 + 1304 | 15.58508 3.391533 4.60 0.000 8.934484 22.23568 + 1305 | 14.28006 3.997056 3.57 0.000 6.442063 22.11806 + 1399 | 11.50745 6.01957 1.91 0.056 -.29658 23.31148 + 1400 | 10.66398 2.996617 3.56 0.000 4.787791 16.54018 + 1401 | 8.538347 2.95439 2.89 0.004 2.744958 14.33174 + 1403 | 6.157185 3.741387 1.65 0.100 -1.179459 13.49383 + 1404 | 11.54089 4.759773 2.42 0.015 2.20725 20.87453 + 1405 | 11.19207 3.239558 3.45 0.001 4.839484 17.54466 + 1406 | 16.46112 5.027091 3.27 0.001 6.603282 26.31895 + 1407 | 14.4904 4.843462 2.99 0.003 4.992648 23.98815 + 1408 | 4.529213 3.246357 1.40 0.163 -1.836706 10.89513 + 1409 | 13.19767 4.482656 2.94 0.003 4.407438 21.9879 + 1410 | 16.99053 3.906243 4.35 0.000 9.330616 24.65045 + 1499 | 4.573084 4.57938 1.00 0.318 -4.406816 13.55298 + 1500 | 7.015751 4.957572 1.42 0.157 -2.705763 16.73726 + 1501 | 11.89842 2.517215 4.73 0.000 6.962307 16.83453 + 1502 | 13.08518 2.489021 5.26 0.000 8.204353 17.96601 + 1504 | 13.21534 3.646139 3.62 0.000 6.065475 20.36521 + 1505 | 15.83773 3.365888 4.71 0.000 9.237415 22.43804 + 1507 | 7.066872 5.014923 1.41 0.159 -2.767102 16.90085 + 1520 | 13.1634 3.575167 3.68 0.000 6.152702 20.17409 + 1521 | 6.456885 4.212828 1.53 0.125 -1.804228 14.718 + 1522 | 19.42614 5.209511 3.73 0.000 9.210592 29.64169 + 1523 | 16.50476 3.778266 4.37 0.000 9.095798 23.91372 + 1524 | 24.02361 6.712718 3.58 0.000 10.86036 37.18687 + 1525 | 11.56967 2.649157 4.37 0.000 6.374824 16.76451 + 1526 | 12.08095 6.415994 1.88 0.060 -.5004485 24.66234 + 1599 | 17.9477 3.063886 5.86 0.000 11.93959 23.9558 + 1600 | 11.16295 2.879461 3.88 0.000 5.516498 16.80941 + 1602 | 6.945057 4.537869 1.53 0.126 -1.953442 15.84356 + 1603 | 9.708341 4.214039 2.30 0.021 1.444854 17.97183 + 1604 | 7.543016 4.508554 1.67 0.094 -1.297999 16.38403 + 1605 | 14.08872 3.929093 3.59 0.000 6.383993 21.79344 + 1606 | 25.4657 9.102304 2.80 0.005 7.616609 43.3148 + 1608 | 8.649108 4.94626 1.75 0.080 -1.050223 18.34844 + 1609 | 14.22956 3.532322 4.03 0.000 7.30288 21.15624 + 1610 | 13.18969 4.179034 3.16 0.002 4.994845 21.38453 + 1611 | 16.84036 6.121757 2.75 0.006 4.835946 28.84477 + 1612 | 13.20497 3.287242 4.02 0.000 6.758882 19.65107 + 1614 | 6.313187 4.394965 1.44 0.151 -2.305086 14.93146 + 1615 | 14.27717 4.537433 3.15 0.002 5.37953 23.17482 + 1616 | 13.80488 2.928688 4.71 0.000 8.061889 19.54786 + 1617 | 12.93417 5.316498 2.43 0.015 2.508821 23.35951 + 1619 | 12.11511 3.883525 3.12 0.002 4.499741 19.73048 + 1620 | 24.54255 5.489944 4.47 0.000 13.77709 35.30802 + 1698 | 19.34892 6.538415 2.96 0.003 6.527463 32.17037 + 1699 | .0062609 2.551737 0.00 0.998 -4.997548 5.01007 + 1700 | 18.2406 4.98404 3.66 0.000 8.467181 28.01401 + 1701 | 15.6241 3.870152 4.04 0.000 8.034955 23.21325 + 1704 | 26.51444 5.934111 4.47 0.000 14.878 38.15089 + 1705 | 11.90491 8.939828 1.33 0.183 -5.625576 29.4354 + 1706 | 15.59822 3.768991 4.14 0.000 8.207448 22.989 + 1707 | 18.27615 3.339198 5.47 0.000 11.72818 24.82413 + 1708 | 21.91044 4.2811 5.12 0.000 13.51545 30.30543 + 1709 | 10.08676 4.723714 2.14 0.033 .8238242 19.34969 + 1798 | 19.95474 5.423983 3.68 0.000 9.318619 30.59085 + 1799 | 13.94587 7.650475 1.82 0.068 -1.056271 28.94801 + 1800 | 10.63725 3.476704 3.06 0.002 3.819637 17.45487 + 1802 | 17.0975 3.156215 5.42 0.000 10.90834 23.28665 + 1803 | 18.36321 4.091999 4.49 0.000 10.33903 26.38738 + 1804 | 11.49985 3.714166 3.10 0.002 4.21658 18.78311 + 1806 | 7.989288 4.237753 1.89 0.060 -.320701 16.29928 + 1807 | .5728884 2.327763 0.25 0.806 -3.991721 5.137497 + 1808 | .4139706 3.763189 0.11 0.912 -6.965426 7.793367 + 1899 | 3.230029 6.8583 0.47 0.638 -10.2187 16.67876 + 1900 | 20.55064 4.378013 4.69 0.000 11.96561 29.13567 + 1901 | 29.44923 7.862691 3.75 0.000 14.03095 44.86751 + 1902 | 19.52619 4.746991 4.11 0.000 10.21761 28.83476 + 1905 | 30.59506 5.608477 5.46 0.000 19.59716 41.59296 + 1906 | 18.06089 5.212916 3.46 0.001 7.838661 28.28312 + 1907 | 23.91386 5.885675 4.06 0.000 12.37239 35.45533 + 1908 | 28.5822 9.037623 3.16 0.002 10.85995 46.30446 + 1909 | 22.18293 7.141426 3.11 0.002 8.179011 36.18686 + 1910 | 10.50161 6.750365 1.56 0.120 -2.735469 23.73869 + 1911 | 13.82808 5.07057 2.73 0.006 3.884981 23.77117 + 1912 | 2.627254 5.489596 0.48 0.632 -8.137528 13.39204 + 1914 | 18.00715 5.223531 3.45 0.001 7.76411 28.2502 + 1915 | 16.0918 10.93085 1.47 0.141 -5.342973 37.52657 + 1919 | 26.4543 5.204511 5.08 0.000 16.24855 36.66004 + 1920 | 20.82598 4.600596 4.53 0.000 11.80448 29.84749 + 1925 | 25.72418 4.942513 5.20 0.000 16.03219 35.41616 + 1926 | 10.48103 3.910191 2.68 0.007 2.813373 18.14869 + 1927 | 18.06203 4.551312 3.97 0.000 9.137165 26.98689 + 1929 | 15.96105 4.512208 3.54 0.000 7.112874 24.80923 + 1999 | 10.90573 12.45086 0.88 0.381 -13.50969 35.32116 + 2000 | 9.93568 2.302632 4.31 0.000 5.420352 14.45101 + 2001 | 5.549693 3.383476 1.64 0.101 -1.085109 12.1845 + 2002 | 11.06138 2.692235 4.11 0.000 5.782065 16.3407 + 2003 | 16.31339 3.147005 5.18 0.000 10.14229 22.48448 + 2004 | 14.42258 2.410511 5.98 0.000 9.695704 19.14945 + 2005 | 15.39615 7.131634 2.16 0.031 1.411423 29.38087 + 2006 | 28.37543 4.149616 6.84 0.000 20.23828 36.51259 + 2007 | 3.444415 2.715313 1.27 0.205 -1.880157 8.768987 + 2008 | 27.84153 2.760849 10.08 0.000 22.42766 33.25539 + 2009 | 11.09661 4.12619 2.69 0.007 3.005394 19.18783 + 2011 | 10.87274 2.459912 4.42 0.000 6.048991 15.69648 + 2012 | 5.869871 2.453394 2.39 0.017 1.058907 10.68084 + 2013 | 9.97661 5.569951 1.79 0.073 -.9457426 20.89896 + 2014 | 18.18823 4.573737 3.98 0.000 9.219398 27.15707 + 2015 | 2.677108 3.488828 0.77 0.443 -4.164282 9.518498 + 2030 | 11.5965 4.570758 2.54 0.011 2.633504 20.55949 + 2099 | 6.907322 8.30763 0.83 0.406 -9.383461 23.1981 + 2100 | 5.812351 3.139922 1.85 0.064 -.3448552 11.96956 + 2101 | 15.3441 3.664149 4.19 0.000 8.15892 22.52929 + 2102 | 2.645316 3.52414 0.75 0.453 -4.265319 9.555951 + 2103 | 6.629968 2.877089 2.30 0.021 .9881632 12.27177 + 2104 | 9.301775 2.612091 3.56 0.000 4.179616 14.42393 + 2105 | 16.84567 5.476004 3.08 0.002 6.107544 27.5838 + 2199 | -1.026388 5.136243 -0.20 0.842 -11.09826 9.045488 + 9999 | 6.862555 3.536534 1.94 0.052 -.0723854 13.79749 + | + house_administration | -2.084762 1.317893 -1.58 0.114 -4.669075 .4995505 + house_agriculture | 4.775495 1.822145 2.62 0.009 1.202373 8.348616 + house_appropriations | -12.86387 1.132992 -11.35 0.000 -15.0856 -10.64214 + house_armedservices | -.4717161 1.376495 -0.34 0.732 -3.170943 2.227511 + house_budget | -4.034505 1.794753 -2.25 0.025 -7.553913 -.5150978 + house_dc | -11.90217 5.901659 -2.02 0.044 -23.47498 -.3293524 + house_educlabor | -1.878057 1.343307 -1.40 0.162 -4.512205 .7560911 + house_energycommerce | -.221792 .7263044 -0.31 0.760 -1.646033 1.202449 + house_foreignaffairs | -10.23345 3.582186 -2.86 0.004 -17.25791 -3.208995 + house_governmentop | -.02643 1.334715 -0.02 0.984 -2.643729 2.590869 + house_intelligence | -2.471342 3.35457 -0.74 0.461 -9.04946 4.106775 + house_interior | 3.58402 2.093538 1.71 0.087 -.5212873 7.689328 + house_judiciary | -.1718869 .7281719 -0.24 0.813 -1.59979 1.256016 + house_mmf | 4.026831 2.303057 1.75 0.081 -.4893311 8.542993 + house_pocs | 3.740966 1.482329 2.52 0.012 .8342043 6.647728 + house_pwt | 2.817165 1.778426 1.58 0.113 -.6702253 6.304556 + house_rules | -2.349274 1.1425 -2.06 0.040 -4.58965 -.1088972 + house_sst | 3.872753 2.621562 1.48 0.140 -1.26798 9.013485 + house_smallbusi | 7.113442 4.692648 1.52 0.130 -2.088569 16.31545 + house_soc | -5.772159 3.199111 -1.80 0.071 -12.04543 .5011127 + house_veterans | 4.452136 2.867744 1.55 0.121 -1.171345 10.07562 + house_waysandmeans | -.2368239 1.040242 -0.23 0.820 -2.276678 1.80303 +house_naturalresources | -.3917714 1.962474 -0.20 0.842 -4.24007 3.456527 + house_bfs | .1058444 1.412309 0.07 0.940 -2.663613 2.875301 + house_eeo | -3.441695 1.45035 -2.37 0.018 -6.285748 -.5976422 + house_govreform | -.2632242 1.05917 -0.25 0.804 -2.340196 1.813747 + house_ir | .4964275 2.25739 0.22 0.826 -3.930184 4.92304 + house_natsecur | 2.868937 2.438862 1.18 0.240 -1.91353 7.651405 + house_oversight | -.1384132 1.314257 -0.11 0.916 -2.715595 2.438769 + house_resources | -1.493981 1.498758 -1.00 0.319 -4.432958 1.444996 + house_science | -.205776 1.732839 -0.12 0.905 -3.603773 3.192221 + house_transp | -.7976129 1.607669 -0.50 0.620 -3.95016 2.354934 + house_homeland | 3.089151 4.032989 0.77 0.444 -4.819308 10.99761 + _cons | 1.37592 2.225698 0.62 0.537 -2.988545 5.740385 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 2,427 1 0 1 1 + + +j = 5 k = 2 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female_l1 if sponsor_party_l1==100 & tag_bill==1 & sponsor_female==0, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 1870 +----------------------+---------------------- NN matches = 3 + Number of obs | 1347 523 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of MV1_female_l1 | 99.685 73.923 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 9.725593 22.36827 .4347942 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female_l1)) +(29,270 missing values generated) +(57,217 missing values generated) +(27,947 real changes made) +reg pct_cosponsors_opposite sponsor_female_l1 i.v2 i.minor house_* [aw=wt] if sponsor_party_l1==100 & tag_bill==1 & sponsor_female==0, robust cluster(group_sponsor) +(sum of wgt is 18,907.6163125038) + +Linear regression Number of obs = 13,817 + F(257, 1174) = . + Prob > F = . + R-squared = 0.1260 + Root MSE = 19.529 + + (Std. Err. adjusted for 1,175 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female_l1 | 1.866026 1.618715 1.15 0.249 -1.30987 5.041923 + | + v2 | + 103 | -.4397411 1.074173 -0.41 0.682 -2.547254 1.667772 + 104 | -2.033988 1.281103 -1.59 0.113 -4.547495 .4795196 + 105 | -.9442717 1.466735 -0.64 0.520 -3.821986 1.933443 + 106 | .9191387 1.546721 0.59 0.552 -2.115508 3.953785 + 108 | -2.120104 1.30199 -1.63 0.104 -4.674591 .4343828 + 109 | 4.119573 2.695265 1.53 0.127 -1.168501 9.407647 + 110 | 1.478039 1.142818 1.29 0.196 -.7641544 3.720233 + | + minor | + 101 | .8995459 5.661974 0.16 0.874 -10.20917 12.00826 + 103 | -1.897642 3.517458 -0.54 0.590 -8.798848 5.003565 + 104 | 6.213056 5.765424 1.08 0.281 -5.098628 17.52474 + 105 | 7.219531 4.059025 1.78 0.076 -.7442225 15.18328 + 107 | 3.418053 3.94283 0.87 0.386 -4.317728 11.15383 + 108 | 1.766386 6.155077 0.29 0.774 -10.30979 13.84256 + 200 | -.7924172 3.808052 -0.21 0.835 -8.263765 6.678931 + 201 | -6.432845 4.078429 -1.58 0.115 -14.43467 1.568979 + 202 | .4175827 6.285032 0.07 0.947 -11.91357 12.74873 + 204 | 9.853722 8.650217 1.14 0.255 -7.117888 26.82533 + 205 | 11.72157 9.217002 1.27 0.204 -6.362067 29.8052 + 206 | -4.28336 3.456104 -1.24 0.215 -11.06419 2.49747 + 207 | 2.401583 4.265292 0.56 0.574 -5.966864 10.77003 + 208 | 7.159767 4.154236 1.72 0.085 -.9907879 15.31032 + 299 | 14.34291 12.26734 1.17 0.243 -9.725444 38.41126 + 300 | 2.141511 4.213303 0.51 0.611 -6.124934 10.40796 + 301 | 2.803594 3.590277 0.78 0.435 -4.240482 9.84767 + 302 | 9.257512 4.027233 2.30 0.022 1.356133 17.15889 + 321 | 8.335623 3.985056 2.09 0.037 .5169951 16.15425 + 322 | 16.9282 5.140784 3.29 0.001 6.842046 27.01435 + 323 | 14.36458 4.513499 3.18 0.001 5.509159 23.22001 + 324 | 1.327596 4.01997 0.33 0.741 -6.559531 9.214724 + 325 | 16.0152 6.920529 2.31 0.021 2.437212 29.59318 + 331 | 14.51307 5.628832 2.58 0.010 3.469374 25.55676 + 332 | 8.890323 4.016804 2.21 0.027 1.009406 16.77124 + 333 | 5.398703 4.023212 1.34 0.180 -2.494784 13.29219 + 334 | 13.29541 4.254279 3.13 0.002 4.948572 21.64225 + 335 | .0444776 3.513265 0.01 0.990 -6.848501 6.937456 + 336 | 25.23167 7.191437 3.51 0.000 11.12216 39.34117 + 341 | 9.400124 4.101104 2.29 0.022 1.353813 17.44644 + 342 | 3.839129 4.634215 0.83 0.408 -5.25314 12.9314 + 343 | -5.743731 6.751694 -0.85 0.395 -18.99046 7.503003 + 344 | 2.310536 4.631558 0.50 0.618 -6.776519 11.39759 + 398 | 13.03868 3.878339 3.36 0.001 5.429427 20.64793 + 399 | 7.74148 4.880575 1.59 0.113 -1.834143 17.3171 + 400 | 13.30027 7.354311 1.81 0.071 -1.128792 27.72933 + 401 | 14.16961 6.690997 2.12 0.034 1.041963 27.29726 + 402 | 10.1673 4.002918 2.54 0.011 2.313631 18.02097 + 403 | 3.485813 5.966744 0.58 0.559 -8.220861 15.19249 + 404 | -7.51327 4.126207 -1.82 0.069 -15.60883 .5822933 + 405 | 28.04395 7.331494 3.83 0.000 13.65966 42.42825 + 498 | 14.50045 6.598845 2.20 0.028 1.553609 27.4473 + 499 | 10.2176 9.774903 1.05 0.296 -8.960629 29.39583 + 500 | 22.42663 10.08762 2.22 0.026 2.634853 42.21842 + 501 | 4.169797 4.088762 1.02 0.308 -3.852301 12.19189 + 502 | 2.560712 3.859239 0.66 0.507 -5.011063 10.13249 + 503 | 5.017852 3.647219 1.38 0.169 -2.137943 12.17365 + 504 | 2.260573 4.130805 0.55 0.584 -5.844011 10.36516 + 505 | 3.192711 4.542108 0.70 0.482 -5.718845 12.10427 + 506 | 1.984935 4.016589 0.49 0.621 -5.89556 9.865431 + 508 | 5.526257 4.597382 1.20 0.230 -3.493746 14.54626 + 529 | 26.0972 7.905132 3.30 0.001 10.58743 41.60696 + 530 | 4.86774 3.555394 1.37 0.171 -2.107896 11.84338 + 599 | 14.90296 3.987644 3.74 0.000 7.079251 22.72666 + 600 | -1.576234 3.832348 -0.41 0.681 -9.095249 5.942781 + 601 | 12.93857 6.094137 2.12 0.034 .9819557 24.89519 + 602 | 2.848904 3.590466 0.79 0.428 -4.195543 9.893351 + 603 | .3630828 3.93135 0.09 0.926 -7.350173 8.076339 + 604 | 8.867206 5.442836 1.63 0.104 -1.811566 19.54598 + 606 | 5.660375 4.533585 1.25 0.212 -3.234458 14.55521 + 607 | 14.20974 9.468273 1.50 0.134 -4.366886 32.78636 + 609 | 9.816905 9.538416 1.03 0.304 -8.89734 28.53115 + 698 | 2.75399 6.838722 0.40 0.687 -10.66349 16.17147 + 699 | 5.636688 4.787888 1.18 0.239 -3.757085 15.03046 + 700 | 6.282638 4.943621 1.27 0.204 -3.416681 15.98196 + 701 | 8.594436 5.258133 1.63 0.102 -1.721951 18.91082 + 703 | 5.832018 3.904946 1.49 0.136 -1.829434 13.49347 + 704 | 6.83564 3.686504 1.85 0.064 -.3972322 14.06851 + 705 | 21.7073 8.930179 2.43 0.015 4.186404 39.22819 + 707 | 9.232718 5.125963 1.80 0.072 -.824353 19.28979 + 708 | 2.343359 4.293318 0.55 0.585 -6.080073 10.76679 + 709 | 17.83588 5.17789 3.44 0.001 7.676927 27.99483 + 710 | 10.64686 4.171189 2.55 0.011 2.463041 18.83068 + 711 | 10.94231 4.685888 2.34 0.020 1.748658 20.13596 + 798 | 8.203245 6.128616 1.34 0.181 -3.821019 20.22751 + 799 | 10.33416 7.021233 1.47 0.141 -3.441402 24.10973 + 800 | 3.515269 4.457233 0.79 0.430 -5.229763 12.2603 + 801 | 12.57545 5.023606 2.50 0.012 2.719206 22.4317 + 802 | 7.94355 5.511005 1.44 0.150 -2.868969 18.75607 + 803 | 13.79315 5.392444 2.56 0.011 3.213241 24.37305 + 805 | 20.63067 6.558513 3.15 0.002 7.762951 33.49838 + 806 | 9.859781 4.795708 2.06 0.040 .4506655 19.2689 + 807 | 3.096779 4.162124 0.74 0.457 -5.069253 11.26281 + 898 | 2.392885 6.376437 0.38 0.708 -10.1176 14.90337 + 899 | -6.022202 3.648219 -1.65 0.099 -13.17996 1.135556 + 1000 | 13.36531 5.546986 2.41 0.016 2.482194 24.24842 + 1001 | 2.049147 4.187552 0.49 0.625 -6.166774 10.26507 + 1002 | 4.799504 6.055229 0.79 0.428 -7.080775 16.67978 + 1003 | 7.098622 4.957118 1.43 0.152 -2.627178 16.82442 + 1005 | 11.59214 4.813301 2.41 0.016 2.148504 21.03577 + 1006 | 5.636706 4.274504 1.32 0.188 -2.749814 14.02323 + 1007 | 2.016062 5.849645 0.34 0.730 -9.460865 13.49299 + 1010 | 8.950822 5.959321 1.50 0.133 -2.741286 20.64293 + 1098 | -2.094007 3.791 -0.55 0.581 -9.531899 5.343885 + 1099 | -7.491448 3.85619 -1.94 0.052 -15.05724 .0743459 + 1200 | 10.4645 10.02767 1.04 0.297 -9.209653 30.13866 + 1201 | 6.078811 3.992119 1.52 0.128 -1.753673 13.9113 + 1202 | 12.72442 7.233984 1.76 0.079 -1.468559 26.9174 + 1203 | 10.87071 4.222431 2.57 0.010 2.586358 19.15507 + 1204 | 7.266607 4.841135 1.50 0.134 -2.231636 16.76485 + 1205 | 6.465612 4.536208 1.43 0.154 -2.434367 15.36559 + 1206 | 2.639424 4.978032 0.53 0.596 -7.127408 12.40626 + 1207 | 6.823836 4.410915 1.55 0.122 -1.830321 15.47799 + 1208 | 17.95154 9.93909 1.81 0.071 -1.548825 37.4519 + 1209 | 5.985741 3.723501 1.61 0.108 -1.319719 13.2912 + 1210 | 6.789187 4.495208 1.51 0.131 -2.030351 15.60873 + 1211 | 23.8342 11.60434 2.05 0.040 1.066644 46.60176 + 1299 | 20.43798 8.886399 2.30 0.022 3.00298 37.87297 + 1300 | 9.284633 4.875763 1.90 0.057 -.2815481 18.85081 + 1301 | 7.229801 5.212475 1.39 0.166 -2.997006 17.45661 + 1302 | 1.12853 4.419386 0.26 0.798 -7.542248 9.799307 + 1303 | 11.54577 5.596851 2.06 0.039 .5648237 22.52672 + 1304 | 12.22907 4.464359 2.74 0.006 3.470055 20.98808 + 1305 | 11.26861 5.972306 1.89 0.059 -.4489769 22.98619 + 1399 | 15.46845 5.322334 2.91 0.004 5.026101 25.9108 + 1400 | 8.307767 4.456731 1.86 0.063 -.43628 17.05181 + 1401 | 4.13486 3.854748 1.07 0.284 -3.428105 11.69783 + 1403 | .9025733 3.709853 0.24 0.808 -6.37611 8.181256 + 1404 | 4.803151 6.553799 0.73 0.464 -8.055316 17.66162 + 1405 | 5.364204 3.812116 1.41 0.160 -2.115117 12.84352 + 1406 | 5.832867 3.97345 1.47 0.142 -1.962989 13.62872 + 1407 | 6.348427 5.435273 1.17 0.243 -4.315507 17.01236 + 1408 | 5.858137 5.428446 1.08 0.281 -4.792403 16.50868 + 1409 | 4.948719 4.926681 1.00 0.315 -4.717365 14.6148 + 1410 | 6.659455 5.088964 1.31 0.191 -3.325024 16.64393 + 1499 | -1.458775 4.388334 -0.33 0.740 -10.06863 7.151079 + 1500 | 4.382176 6.060656 0.72 0.470 -7.50875 16.2731 + 1501 | 7.760761 3.740982 2.07 0.038 .4210029 15.10052 + 1502 | 11.79473 3.882681 3.04 0.002 4.176959 19.4125 + 1504 | 4.984123 3.969318 1.26 0.209 -2.803627 12.77187 + 1505 | 10.78431 4.583455 2.35 0.019 1.791637 19.77699 + 1507 | -1.063079 4.860797 -0.22 0.827 -10.5999 8.473741 + 1520 | 12.63832 5.736385 2.20 0.028 1.383606 23.89303 + 1521 | 5.114585 6.888866 0.74 0.458 -8.401279 18.63045 + 1522 | 17.28295 4.668906 3.70 0.000 8.122624 26.44329 + 1523 | 10.73878 3.700023 2.90 0.004 3.479387 17.99818 + 1524 | 31.01567 8.530678 3.64 0.000 14.2786 47.75275 + 1525 | 7.460422 3.766232 1.98 0.048 .0711239 14.84972 + 1526 | 1.655011 6.606771 0.25 0.802 -11.30739 14.61741 + 1599 | 14.43362 6.041432 2.39 0.017 2.580412 26.28683 + 1600 | 10.41917 4.575155 2.28 0.023 1.442776 19.39556 + 1602 | 3.154222 4.878792 0.65 0.518 -6.417904 12.72635 + 1603 | 5.367113 7.08689 0.76 0.449 -8.537271 19.2715 + 1604 | 1.750131 5.873874 0.30 0.766 -9.774333 13.27459 + 1605 | 8.686806 5.181008 1.68 0.094 -1.478263 18.85187 + 1606 | 13.80564 11.09428 1.24 0.214 -7.96118 35.57246 + 1608 | 1.311865 5.834657 0.22 0.822 -10.13565 12.75938 + 1609 | 6.57699 4.659405 1.41 0.158 -2.564701 15.71868 + 1610 | 10.02606 5.485134 1.83 0.068 -.7357003 20.78782 + 1611 | 13.24338 8.288483 1.60 0.110 -3.018514 29.50527 + 1612 | 9.030531 5.011633 1.80 0.072 -.8022258 18.86329 + 1614 | 4.350383 6.214948 0.70 0.484 -7.843263 16.54403 + 1615 | 11.68015 5.765632 2.03 0.043 .3680574 22.99225 + 1616 | 9.937017 4.834404 2.06 0.040 .4519805 19.42205 + 1617 | 5.15271 6.194594 0.83 0.406 -7.001001 17.30642 + 1619 | 4.386506 4.662603 0.94 0.347 -4.76146 13.53447 + 1620 | 19.30292 7.52362 2.57 0.010 4.541674 34.06416 + 1698 | 32.31442 8.643836 3.74 0.000 15.35533 49.27351 + 1699 | -1.984945 4.321348 -0.46 0.646 -10.46337 6.493482 + 1700 | 15.25766 6.336012 2.41 0.016 2.826489 27.68883 + 1701 | 10.35331 5.259129 1.97 0.049 .0349638 20.67165 + 1704 | 47.26844 8.497487 5.56 0.000 30.59649 63.9404 + 1705 | .1755656 4.530185 0.04 0.969 -8.712598 9.063729 + 1706 | 7.723033 4.411548 1.75 0.080 -.9323655 16.37843 + 1707 | 13.10374 4.092949 3.20 0.001 5.07343 21.13405 + 1708 | 20.50524 5.932949 3.46 0.001 8.864873 32.14561 + 1709 | 5.277001 5.330968 0.99 0.322 -5.182287 15.73629 + 1798 | 11.24778 6.10076 1.84 0.065 -.7218279 23.21739 + 1799 | 14.52547 9.980522 1.46 0.146 -5.056182 34.10712 + 1800 | 4.259153 4.929647 0.86 0.388 -5.412749 13.93105 + 1802 | 12.45083 4.954814 2.51 0.012 2.729549 22.17211 + 1803 | 17.33275 5.539423 3.13 0.002 6.464474 28.20102 + 1804 | 8.447212 4.858006 1.74 0.082 -1.084131 17.97856 + 1806 | 14.00293 5.98694 2.34 0.020 2.256637 25.74923 + 1807 | -3.399639 3.535949 -0.96 0.337 -10.33712 3.537847 + 1808 | -2.721031 6.079659 -0.45 0.655 -14.64924 9.207178 + 1899 | 3.519051 3.522832 1.00 0.318 -3.392698 10.4308 + 1900 | 13.93067 5.792481 2.40 0.016 2.565899 25.29544 + 1901 | 15.31091 5.073767 3.02 0.003 5.356247 25.26557 + 1902 | 11.77526 6.046238 1.95 0.052 -.0873793 23.6379 + 1905 | 22.94277 6.7063 3.42 0.001 9.785101 36.10044 + 1906 | 16.5614 6.690399 2.48 0.013 3.434925 29.68787 + 1907 | 14.52401 7.005918 2.07 0.038 .7784878 28.26953 + 1908 | 16.19007 10.45811 1.55 0.122 -4.328595 36.70874 + 1909 | 15.01644 6.496098 2.31 0.021 2.271179 27.76169 + 1910 | 2.893588 5.308516 0.55 0.586 -7.521651 13.30883 + 1911 | 9.136384 4.743243 1.93 0.054 -.169795 18.44256 + 1912 | 4.098313 6.146409 0.67 0.505 -7.960859 16.15749 + 1914 | 8.122087 5.399883 1.50 0.133 -2.472411 18.71658 + 1919 | 26.26112 13.1544 2.00 0.046 .4523678 52.06988 + 1920 | 16.96356 5.248081 3.23 0.001 6.666893 27.26022 + 1925 | 12.75262 6.96293 1.83 0.067 -.908553 26.4138 + 1926 | 10.84552 6.731791 1.61 0.107 -2.362169 24.0532 + 1927 | 20.98416 7.023324 2.99 0.003 7.204494 34.76383 + 1929 | 15.78358 7.198139 2.19 0.029 1.660929 29.90623 + 1999 | -9.447561 3.560812 -2.65 0.008 -16.43383 -2.461295 + 2000 | 7.365412 3.769779 1.95 0.051 -.0308436 14.76167 + 2001 | 8.227869 4.484399 1.83 0.067 -.5704634 17.0262 + 2002 | 13.82427 4.917694 2.81 0.005 4.175821 23.47272 + 2003 | 10.12584 4.501302 2.25 0.025 1.294346 18.95733 + 2004 | 9.86515 3.515434 2.81 0.005 2.967916 16.76238 + 2005 | 22.40715 10.25911 2.18 0.029 2.278913 42.5354 + 2006 | 20.127 4.081231 4.93 0.000 12.11968 28.13432 + 2007 | .3234483 4.252853 0.08 0.939 -8.020593 8.66749 + 2008 | 26.45116 3.783447 6.99 0.000 19.02808 33.87423 + 2009 | 11.91395 6.229493 1.91 0.056 -.3082289 24.13614 + 2011 | 9.29765 3.874133 2.40 0.017 1.696653 16.89865 + 2012 | 2.671126 3.621794 0.74 0.461 -4.434786 9.777038 + 2013 | 1.647799 5.358015 0.31 0.758 -8.864555 12.16015 + 2014 | 18.37235 6.763661 2.72 0.007 5.102135 31.64256 + 2015 | 6.293766 5.374396 1.17 0.242 -4.250727 16.83826 + 2030 | 11.23867 6.153309 1.83 0.068 -.8340358 23.31138 + 2099 | -1.702216 8.16916 -0.21 0.835 -17.73 14.32557 + 2100 | 3.022239 4.829791 0.63 0.532 -6.453747 12.49822 + 2101 | 8.144578 4.362417 1.87 0.062 -.4144254 16.70358 + 2102 | 2.764987 5.313542 0.52 0.603 -7.660113 13.19009 + 2103 | 6.244127 4.082444 1.53 0.126 -1.765575 14.25383 + 2104 | 8.930591 3.878719 2.30 0.021 1.320597 16.54059 + 2105 | 2.947678 5.192442 0.57 0.570 -7.239823 13.13518 + 9999 | 2.384676 4.762969 0.50 0.617 -6.960206 11.72956 + | + house_administration | -1.619212 1.556541 -1.04 0.298 -4.673124 1.4347 + house_agriculture | 1.981374 2.225069 0.89 0.373 -2.384182 6.34693 + house_appropriations | -12.3347 1.60387 -7.69 0.000 -15.48147 -9.187923 + house_armedservices | -2.189539 1.529204 -1.43 0.152 -5.189816 .8107381 + house_budget | -4.801418 2.779511 -1.73 0.084 -10.25478 .6519469 + house_dc | -18.55004 5.770588 -3.21 0.001 -29.87185 -7.228219 + house_educlabor | -2.443802 1.629998 -1.50 0.134 -5.641836 .7542314 + house_energycommerce | -1.172104 .8692538 -1.35 0.178 -2.877568 .5333603 + house_foreignaffairs | -9.970544 4.447602 -2.24 0.025 -18.69668 -1.244409 + house_governmentop | .5404687 1.81349 0.30 0.766 -3.017574 4.098512 + house_intelligence | -.0113891 5.14245 -0.00 0.998 -10.10081 10.07803 + house_interior | .9438154 2.486766 0.38 0.704 -3.935187 5.822818 + house_judiciary | 1.207524 .8960865 1.35 0.178 -.5505855 2.965634 + house_mmf | 8.417393 2.78634 3.02 0.003 2.950631 13.88416 + house_pocs | 3.402965 1.972993 1.72 0.085 -.4680214 7.273951 + house_pwt | 1.619217 2.163467 0.75 0.454 -2.625476 5.86391 + house_rules | -.6489124 1.766848 -0.37 0.713 -4.115445 2.81762 + house_sst | 1.22596 2.664093 0.46 0.645 -4.000955 6.452875 + house_smallbusi | 2.022177 6.071057 0.33 0.739 -9.889157 13.93351 + house_soc | -12.5003 2.664078 -4.69 0.000 -17.72719 -7.273417 + house_veterans | 3.217179 3.217205 1.00 0.318 -3.094934 9.529292 + house_waysandmeans | -.5442431 1.430233 -0.38 0.704 -3.350342 2.261856 +house_naturalresources | .5452235 2.383084 0.23 0.819 -4.130356 5.220803 + house_bfs | -1.221296 1.123956 -1.09 0.277 -3.426484 .9838916 + house_eeo | -.0918861 1.975169 -0.05 0.963 -3.967141 3.783369 + house_govreform | .9707311 1.450275 0.67 0.503 -1.874689 3.816151 + house_ir | -1.036686 2.652552 -0.39 0.696 -6.240958 4.167586 + house_natsecur | 4.832437 3.385389 1.43 0.154 -1.809651 11.47452 + house_oversight | -.1482135 1.722901 -0.09 0.931 -3.528523 3.232096 + house_resources | .5127494 2.019942 0.25 0.800 -3.450349 4.475848 + house_science | -2.098899 2.239005 -0.94 0.349 -6.491798 2.294 + house_transp | -2.652124 1.147293 -2.31 0.021 -4.903098 -.4011509 + house_homeland | 4.279585 5.429283 0.79 0.431 -6.372595 14.93177 + _cons | 5.872231 3.374464 1.74 0.082 -.7484226 12.49288 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 1,175 1 0 1 1 + + +j = 5 k = 3 + + +rdbwselect_2014 pct_cosponsors_opposite MV1_female_l1 if sponsor_party_l1==200 & tag_bill==1 & sponsor_female==0, c(0) kernel(uniform) +Computing CCT bandwidth selector. + +Bandwidth estimators for RD local polynomial regression + + + Cutoff c = 0 | Left of c Right of c Number of obs = 3274 +----------------------+---------------------- NN matches = 3 + Number of obs | 3103 171 Kernel type = Uniform + Order loc. poly. (p) | 1 1 + Order bias (q) | 2 2 +Range of MV1_female_l1 | 78.154 29.857 + +---------------------------------------------- + Method | h b rho +----------+----------------------------------- + CCT | 18.39098 27.97511 .6574051 +---------------------------------------------- +(option pr assumed; Pr(sponsor_female_l1)) +(46,744 missing values generated) +(60,980 missing values generated) +(12,535 real changes made) +reg pct_cosponsors_opposite sponsor_female_l1 i.v2 i.minor house_* [aw=wt] if sponsor_party_l1==200 & tag_bill==1 & sponsor_female==0, robust cluster(group_sponsor) +(sum of wgt is 8,251.81406021118) + +Linear regression Number of obs = 7,338 + F(252, 696) = . + Prob > F = . + R-squared = 0.1750 + Root MSE = 21.723 + + (Std. Err. adjusted for 697 clusters in group_sponsor) +---------------------------------------------------------------------------------------- + | Robust +pct_cosponsors_oppos~e | Coef. Std. Err. t P>|t| [95% Conf. Interval] +-----------------------+---------------------------------------------------------------- + sponsor_female_l1 | 1.035418 2.422386 0.43 0.669 -3.720642 5.791477 + | + v2 | + 103 | -3.672447 2.406244 -1.53 0.127 -8.396815 1.051921 + 104 | -2.80232 2.43948 -1.15 0.251 -7.591943 1.987303 + 105 | -1.170456 2.424911 -0.48 0.629 -5.931474 3.590561 + 106 | -.091643 2.491331 -0.04 0.971 -4.983068 4.799782 + 108 | 1.307918 2.420825 0.54 0.589 -3.445078 6.060914 + 109 | .4788454 2.457704 0.19 0.846 -4.346557 5.304248 + | + minor | + 101 | 10.49809 7.731365 1.36 0.175 -4.681508 25.67768 + 104 | 10.57684 5.454437 1.94 0.053 -.132284 21.28596 + 105 | 13.77769 4.162651 3.31 0.001 5.604828 21.95055 + 107 | 11.53443 3.823088 3.02 0.003 4.028266 19.0406 + 108 | 34.7466 13.78228 2.52 0.012 7.686762 61.80644 + 200 | 9.753735 4.396149 2.22 0.027 1.122432 18.38504 + 202 | 18.059 10.47515 1.72 0.085 -2.507681 38.62568 + 204 | 35.62345 14.25516 2.50 0.013 7.635175 63.61173 + 205 | 32.1664 8.456063 3.80 0.000 15.56395 48.76885 + 206 | 13.24391 6.071705 2.18 0.029 1.322854 25.16496 + 207 | 8.984067 5.328465 1.69 0.092 -1.477725 19.44586 + 208 | 13.95749 5.3274 2.62 0.009 3.497792 24.4172 + 209 | .6352971 3.878366 0.16 0.870 -6.979403 8.249997 + 299 | 14.46484 4.328158 3.34 0.001 5.967027 22.96265 + 300 | 23.56999 6.903645 3.41 0.001 10.01552 37.12445 + 301 | 14.81273 4.998431 2.96 0.003 4.998915 24.62654 + 302 | 16.63042 4.409653 3.77 0.000 7.972602 25.28824 + 321 | 23.34376 5.655707 4.13 0.000 12.23947 34.44805 + 322 | 30.30002 4.997656 6.06 0.000 20.48773 40.1123 + 323 | 20.81241 5.980851 3.48 0.001 9.069734 32.55508 + 324 | 6.422172 6.10206 1.05 0.293 -5.558479 18.40282 + 325 | 36.48779 5.644138 6.46 0.000 25.40622 47.56937 + 331 | 26.83626 6.379816 4.21 0.000 14.31026 39.36225 + 332 | 29.02936 7.209723 4.03 0.000 14.87395 43.18478 + 333 | 20.45059 12.65936 1.62 0.107 -4.404526 45.30571 + 334 | 23.90147 6.295875 3.80 0.000 11.54028 36.26265 + 335 | 26.45175 7.731264 3.42 0.001 11.27236 41.63115 + 336 | 29.27066 6.535203 4.48 0.000 16.43959 42.10174 + 341 | 34.7058 8.486753 4.09 0.000 18.04309 51.3685 + 342 | 36.81517 8.350275 4.41 0.000 20.42042 53.20991 + 343 | 19.10823 6.622076 2.89 0.004 6.106595 32.10987 + 398 | 34.44522 4.918628 7.00 0.000 24.7881 44.10235 + 399 | 21.62481 8.371392 2.58 0.010 5.188597 38.06101 + 400 | 17.03747 5.973284 2.85 0.004 5.309654 28.76529 + 401 | 10.85188 5.43708 2.00 0.046 .1768366 21.52693 + 402 | 19.61194 4.516882 4.34 0.000 10.74359 28.48029 + 403 | 18.21834 5.166567 3.53 0.000 8.074411 28.36226 + 404 | 16.8599 7.143667 2.36 0.019 2.834178 30.88562 + 405 | 38.76795 8.827645 4.39 0.000 21.43594 56.09996 + 498 | 15.76593 7.536253 2.09 0.037 .9694142 30.56244 + 499 | 14.99494 5.974616 2.51 0.012 3.264512 26.72537 + 500 | 57.82158 13.3428 4.33 0.000 31.62462 84.01854 + 501 | 13.61224 6.134963 2.22 0.027 1.566991 25.6575 + 502 | 9.943042 4.949411 2.01 0.045 .2254767 19.66061 + 503 | 11.01541 4.232345 2.60 0.009 2.705713 19.3251 + 504 | 2.439008 4.050998 0.60 0.547 -5.514634 10.39265 + 505 | 16.18786 5.266372 3.07 0.002 5.847975 26.52774 + 506 | 19.32248 8.709088 2.22 0.027 2.223245 36.42171 + 508 | 12.61421 6.431594 1.96 0.050 -.0134451 25.24186 + 529 | 15.9378 7.486518 2.13 0.034 1.238934 30.63667 + 530 | 19.52142 4.476047 4.36 0.000 10.73325 28.30959 + 599 | 25.05233 11.82253 2.12 0.034 1.840225 48.26443 + 600 | 6.373891 5.306445 1.20 0.230 -4.044668 16.79245 + 601 | 20.02497 4.279063 4.68 0.000 11.62355 28.42639 + 602 | 19.63521 5.526043 3.55 0.000 8.7855 30.48492 + 603 | 20.1147 10.78186 1.87 0.063 -1.054163 41.28357 + 604 | 32.77832 4.14394 7.91 0.000 24.6422 40.91445 + 606 | 24.49295 12.32273 1.99 0.047 .2987706 48.68714 + 607 | 21.28128 7.386956 2.88 0.004 6.777889 35.78467 + 609 | 20.36195 8.591827 2.37 0.018 3.492941 37.23096 + 699 | 3.923437 4.747619 0.83 0.409 -5.397935 13.24481 + 700 | 26.61882 6.147101 4.33 0.000 14.54974 38.68791 + 701 | 12.14873 4.577471 2.65 0.008 3.161425 21.13604 + 703 | 23.11215 5.616256 4.12 0.000 12.08531 34.13898 + 704 | 14.8913 4.347604 3.43 0.001 6.355313 23.4273 + 705 | 8.347534 4.610896 1.81 0.071 -.7053987 17.40047 + 707 | 21.632 8.88757 2.43 0.015 4.182338 39.08166 + 708 | 18.86494 10.63915 1.77 0.077 -2.023736 39.75361 + 709 | 26.99535 4.812761 5.61 0.000 17.54608 36.44462 + 710 | 26.15953 4.659271 5.61 0.000 17.01162 35.30745 + 711 | 21.42626 5.970585 3.59 0.000 9.703747 33.14878 + 798 | 34.8566 7.762348 4.49 0.000 19.61617 50.09702 + 799 | 30.9177 10.04621 3.08 0.002 11.19318 50.64222 + 800 | 18.61805 6.262528 2.97 0.003 6.322342 30.91377 + 801 | 12.98138 4.90896 2.64 0.008 3.343234 22.61953 + 802 | 16.7736 5.096206 3.29 0.001 6.767824 26.77938 + 803 | 17.13609 4.630091 3.70 0.000 8.04547 26.22671 + 805 | 19.69676 7.479871 2.63 0.009 5.010943 34.38258 + 806 | 23.51023 5.633463 4.17 0.000 12.44961 34.57085 + 807 | 26.14171 6.69116 3.91 0.000 13.00443 39.27899 + 898 | 38.03439 15.27401 2.49 0.013 8.045738 68.02305 + 899 | 18.80963 15.8998 1.18 0.237 -12.40769 50.02696 + 1000 | 16.50426 7.44675 2.22 0.027 1.883475 31.12505 + 1001 | 31.88652 7.164931 4.45 0.000 17.81905 45.95399 + 1002 | 13.34179 5.539091 2.41 0.016 2.466457 24.21712 + 1003 | 20.06667 4.385833 4.58 0.000 11.45562 28.67772 + 1005 | 14.46943 6.839979 2.12 0.035 1.039962 27.89889 + 1006 | 21.81273 6.291334 3.47 0.001 9.460457 34.16499 + 1007 | 16.40597 5.749066 2.85 0.004 5.118374 27.69356 + 1010 | 25.02584 11.87769 2.11 0.035 1.705438 48.34624 + 1098 | 11.38861 6.072901 1.88 0.061 -.5347876 23.31202 + 1099 | 17.73833 15.58069 1.14 0.255 -12.85246 48.32911 + 1200 | 10.4789 5.48851 1.91 0.057 -.2971184 21.25492 + 1201 | 27.29458 6.046272 4.51 0.000 15.42346 39.1657 + 1202 | 13.79327 5.18868 2.66 0.008 3.605931 23.98061 + 1203 | 17.89929 5.946015 3.01 0.003 6.225011 29.57356 + 1204 | 14.74746 5.181058 2.85 0.005 4.575084 24.91984 + 1205 | 18.38348 5.71199 3.22 0.001 7.168685 29.59828 + 1206 | 7.530387 4.438998 1.70 0.090 -1.185045 16.24582 + 1207 | 19.35349 4.962385 3.90 0.000 9.610454 29.09653 + 1208 | 21.34474 7.183372 2.97 0.003 7.241066 35.44842 + 1209 | 26.51856 4.285475 6.19 0.000 18.10455 34.93257 + 1210 | 21.46376 6.209264 3.46 0.001 9.272625 33.65489 + 1211 | 15.12776 6.008428 2.52 0.012 3.330942 26.92458 + 1299 | 10.22725 9.458713 1.08 0.280 -8.343776 28.79829 + 1300 | 9.312714 5.498848 1.69 0.091 -1.483604 20.10903 + 1301 | 32.40628 10.41817 3.11 0.002 11.95147 52.86109 + 1302 | 21.04116 6.810579 3.09 0.002 7.669415 34.4129 + 1303 | 14.58509 3.952326 3.69 0.000 6.825178 22.345 + 1304 | 18.62213 6.98085 2.67 0.008 4.916077 32.32818 + 1305 | 13.35278 6.911573 1.93 0.054 -.2172483 26.92282 + 1399 | 13.27924 9.868506 1.35 0.179 -6.09637 32.65485 + 1400 | 10.93128 5.71775 1.91 0.056 -.2948292 22.15738 + 1401 | 12.95948 7.492817 1.73 0.084 -1.751755 27.67071 + 1403 | 8.18768 9.993192 0.82 0.413 -11.43274 27.8081 + 1404 | 22.64119 10.33394 2.19 0.029 2.351751 42.93063 + 1405 | 25.5601 8.776379 2.91 0.004 8.32875 42.79145 + 1406 | 31.3619 9.443999 3.32 0.001 12.81976 49.90405 + 1407 | 26.71611 9.649139 2.77 0.006 7.771202 45.66102 + 1408 | 15.40863 15.57817 0.99 0.323 -15.17721 45.99446 + 1409 | 21.41814 9.463139 2.26 0.024 2.838421 39.99786 + 1410 | 32.22703 6.108838 5.28 0.000 20.23307 44.22099 + 1499 | .7460247 3.731128 0.20 0.842 -6.579591 8.071641 + 1500 | 13.94281 8.213566 1.70 0.090 -2.183532 30.06914 + 1501 | 22.48262 4.707945 4.78 0.000 13.23914 31.7261 + 1502 | 14.84489 4.585315 3.24 0.001 5.842177 23.84759 + 1504 | 31.99413 6.981203 4.58 0.000 18.28738 45.70087 + 1505 | 21.81129 7.577351 2.88 0.004 6.934087 36.6885 + 1507 | 22.07655 5.338844 4.14 0.000 11.59438 32.55872 + 1520 | 10.62268 7.490792 1.42 0.157 -4.084577 25.32994 + 1521 | 9.250575 4.145556 2.23 0.026 1.11128 17.38987 + 1522 | 20.77189 5.282188 3.93 0.000 10.40096 31.14283 + 1523 | 21.7862 5.047947 4.32 0.000 11.87517 31.69723 + 1524 | 1.100527 3.909849 0.28 0.778 -6.575987 8.77704 + 1525 | 20.57803 5.757463 3.57 0.000 9.27395 31.88211 + 1526 | 27.70948 5.721655 4.84 0.000 16.47571 38.94325 + 1599 | 20.56725 5.804237 3.54 0.000 9.171335 31.96316 + 1600 | 16.4727 4.710806 3.50 0.001 7.223603 25.72179 + 1602 | 1.054621 6.003349 0.18 0.861 -10.73222 12.84147 + 1603 | 17.04668 11.98813 1.42 0.155 -6.490553 40.58392 + 1604 | 18.19633 10.28188 1.77 0.077 -1.990891 38.38355 + 1605 | 15.61632 6.282814 2.49 0.013 3.280776 27.95186 + 1606 | 19.72914 9.356499 2.11 0.035 1.358798 38.09949 + 1608 | 23.59472 4.662939 5.06 0.000 14.43961 32.74984 + 1609 | 31.49465 4.705177 6.69 0.000 22.25661 40.73269 + 1610 | 23.73715 9.136985 2.60 0.010 5.797796 41.67651 + 1611 | 21.07805 5.906271 3.57 0.000 9.481807 32.6743 + 1612 | 16.11399 6.07926 2.65 0.008 4.178104 28.04988 + 1614 | 9.14945 6.274459 1.46 0.145 -3.169686 21.46859 + 1615 | 24.2104 6.898171 3.51 0.000 10.66668 37.75412 + 1616 | 18.02502 4.410274 4.09 0.000 9.365981 26.68405 + 1617 | 38.38068 6.795407 5.65 0.000 25.03873 51.72264 + 1619 | 12.49695 10.81473 1.16 0.248 -8.736454 33.73036 + 1620 | 38.70178 4.523954 8.55 0.000 29.81955 47.58401 + 1698 | 14.31607 8.789614 1.63 0.104 -2.941264 31.57341 + 1699 | 25.77132 7.263693 3.55 0.000 11.50995 40.0327 + 1700 | 18.67768 9.158699 2.04 0.042 .6956934 36.65967 + 1701 | 19.34838 8.256446 2.34 0.019 3.137855 35.55891 + 1704 | 1.299111 3.973585 0.33 0.744 -6.502539 9.100762 + 1705 | 15.40931 13.30375 1.16 0.247 -10.71097 41.5296 + 1706 | 21.82639 5.279771 4.13 0.000 11.4602 32.19257 + 1707 | 22.91812 5.930339 3.86 0.000 11.27462 34.56162 + 1708 | 19.66823 7.44048 2.64 0.008 5.059755 34.27671 + 1709 | 16.0224 6.120306 2.62 0.009 4.005925 28.03888 + 1798 | 15.74548 7.562462 2.08 0.038 .8975102 30.59346 + 1799 | 4.649893 4.880181 0.95 0.341 -4.93175 14.23153 + 1800 | 15.72922 5.345626 2.94 0.003 5.233734 26.2247 + 1802 | 26.20854 5.678498 4.62 0.000 15.0595 37.35758 + 1803 | 3.379569 7.193711 0.47 0.639 -10.74441 17.50354 + 1804 | 13.85574 7.294183 1.90 0.058 -.4654975 28.17698 + 1806 | 3.278638 4.317076 0.76 0.448 -5.197414 11.75469 + 1807 | 7.399435 4.115931 1.80 0.073 -.6816934 15.48056 + 1808 | -1.699217 4.241194 -0.40 0.689 -10.02628 6.62785 + 1899 | .5101937 4.463293 0.11 0.909 -8.252938 9.273325 + 1900 | 22.36188 6.124136 3.65 0.000 10.33788 34.38587 + 1901 | 27.60741 6.379665 4.33 0.000 15.08171 40.1331 + 1902 | 23.9275 7.264568 3.29 0.001 9.664408 38.1906 + 1905 | 34.4835 9.051023 3.81 0.000 16.71291 52.25408 + 1906 | 15.41512 7.174565 2.15 0.032 1.328736 29.50151 + 1907 | 9.416595 9.980807 0.94 0.346 -10.1795 29.01269 + 1908 | 30.87095 19.81716 1.56 0.120 -8.03762 69.77952 + 1909 | 23.53651 15.5267 1.52 0.130 -6.948274 54.02129 + 1910 | 20.06215 14.92615 1.34 0.179 -9.243533 49.36784 + 1911 | 16.09878 17.93085 0.90 0.370 -19.10626 51.30381 + 1912 | -3.94776 4.643816 -0.85 0.396 -13.06533 5.169808 + 1914 | 33.26716 8.578747 3.88 0.000 16.42383 50.11048 + 1915 | 34.31273 9.827179 3.49 0.001 15.01826 53.6072 + 1919 | 24.61833 6.625636 3.72 0.000 11.6097 37.62696 + 1920 | 21.08777 8.157033 2.59 0.010 5.072426 37.10311 + 1925 | 43.68746 5.872661 7.44 0.000 32.15721 55.21772 + 1926 | 11.18233 7.250775 1.54 0.123 -3.053679 25.41835 + 1927 | 15.38548 12.02535 1.28 0.201 -8.224836 38.9958 + 1929 | 7.987502 6.86348 1.16 0.245 -5.488105 21.46311 + 1999 | 23.20146 16.15801 1.44 0.151 -8.522814 54.92574 + 2000 | 15.18263 4.038824 3.76 0.000 7.252889 23.11237 + 2001 | 8.466724 4.588324 1.85 0.065 -.541892 17.47534 + 2002 | 12.88949 4.33019 2.98 0.003 4.387691 21.39129 + 2003 | 24.67022 5.761059 4.28 0.000 13.35908 35.98136 + 2004 | 17.08001 4.260757 4.01 0.000 8.714533 25.44549 + 2005 | 11.51511 11.28664 1.02 0.308 -10.64484 33.67505 + 2006 | 48.851 10.0766 4.85 0.000 29.06682 68.63518 + 2007 | 7.601707 4.943228 1.54 0.125 -2.103719 17.30713 + 2008 | 26.75774 4.341547 6.16 0.000 18.23364 35.28184 + 2009 | 13.45566 7.636606 1.76 0.079 -1.537881 28.44921 + 2011 | 14.56939 4.110194 3.54 0.000 6.49953 22.63926 + 2012 | 14.95049 4.564016 3.28 0.001 5.989604 23.91138 + 2013 | 8.256348 6.254136 1.32 0.187 -4.022888 20.53558 + 2014 | 26.31208 10.34855 2.54 0.011 5.993956 46.63021 + 2015 | 4.983605 6.477319 0.77 0.442 -7.733822 17.70103 + 2030 | 10.03421 8.424767 1.19 0.234 -6.506795 26.57521 + 2099 | 31.54196 8.657424 3.64 0.000 14.54416 48.53976 + 2100 | 10.98734 4.8424 2.27 0.024 1.479876 20.4948 + 2101 | 25.52157 4.136099 6.17 0.000 17.40085 33.6423 + 2102 | 28.96724 4.967583 5.83 0.000 19.214 38.72049 + 2103 | 15.37068 3.980113 3.86 0.000 7.556215 23.18515 + 2104 | 16.2225 4.191881 3.87 0.000 7.992252 24.45275 + 2105 | 32.00226 9.182063 3.49 0.001 13.9744 50.03013 + 2199 | -4.206988 4.317058 -0.97 0.330 -12.68301 4.269031 + 9999 | 6.68249 6.254385 1.07 0.286 -5.597234 18.96221 + | + house_administration | -6.895659 2.882234 -2.39 0.017 -12.55458 -1.236743 + house_agriculture | 4.904071 2.009026 2.44 0.015 .9595936 8.848548 + house_appropriations | -14.07361 1.971531 -7.14 0.000 -17.94447 -10.20275 + house_armedservices | .5553648 1.916998 0.29 0.772 -3.208428 4.319158 + house_budget | -2.984384 2.21093 -1.35 0.178 -7.325277 1.356508 + house_dc | -17.25404 7.327219 -2.35 0.019 -31.64015 -2.86794 + house_educlabor | -.317677 1.74259 -0.18 0.855 -3.73904 3.103686 + house_energycommerce | 2.853241 1.185408 2.41 0.016 .5258362 5.180645 + house_foreignaffairs | 2.285132 3.4493 0.66 0.508 -4.48715 9.057413 + house_governmentop | -2.59126 2.584062 -1.00 0.316 -7.664752 2.482231 + house_intelligence | 1.019287 9.030315 0.11 0.910 -16.71064 18.74921 + house_interior | .2886231 3.908283 0.07 0.941 -7.384814 7.96206 + house_judiciary | -2.07847 1.289059 -1.61 0.107 -4.609379 .45244 + house_mmf | -5.96493 2.950996 -2.02 0.044 -11.75885 -.1710089 + house_pocs | 2.936212 3.167519 0.93 0.354 -3.282826 9.155249 + house_pwt | 2.983433 2.424853 1.23 0.219 -1.77747 7.744337 + house_rules | -2.437328 1.808997 -1.35 0.178 -5.989073 1.114417 + house_sst | 12.4594 5.893619 2.11 0.035 .8879975 24.0308 + house_smallbusi | 16.40809 8.74568 1.88 0.061 -.7629871 33.57917 + house_soc | -9.476572 4.179801 -2.27 0.024 -17.6831 -1.270043 + house_veterans | 2.441574 2.696541 0.91 0.366 -2.852756 7.735904 + house_waysandmeans | -1.007012 1.066984 -0.94 0.346 -3.101906 1.087882 +house_naturalresources | -9.453026 3.440278 -2.75 0.006 -16.20759 -2.698459 + house_bfs | 1.905347 2.000922 0.95 0.341 -2.023219 5.833912 + house_eeo | -6.07616 3.26927 -1.86 0.064 -12.49497 .3426543 + house_govreform | 1.172683 1.580715 0.74 0.458 -1.930857 4.276224 + house_ir | 8.011863 2.871551 2.79 0.005 2.373923 13.6498 + house_natsecur | 2.459149 2.763767 0.89 0.374 -2.967172 7.885469 + house_oversight | -3.012654 2.705762 -1.11 0.266 -8.325088 2.29978 + house_resources | -6.124091 1.451781 -4.22 0.000 -8.974486 -3.273695 + house_science | 3.30474 2.903408 1.14 0.255 -2.395748 9.005229 + house_transp | -.5262233 1.416745 -0.37 0.710 -3.307829 2.255383 + house_homeland | .5028895 4.097408 0.12 0.902 -7.541871 8.547651 + _cons | .9643272 4.304205 0.22 0.823 -7.486456 9.41511 +---------------------------------------------------------------------------------------- + + Variable | Obs Mean Std. Dev. Min Max +-------------+--------------------------------------------------------- +tag_congre~n | 697 1 0 1 1 + +. +. preserve + +. +. * Display results +. +. forvalues i = 1/5 { + 2. gen var`i' =. + 3. } +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) +(62,349 missing values generated) + +. gen str20 var6 = "" +(62,349 missing values generated) + +. +. forvalues j=1/5 { + 2. forvalues k = 1/3 { + 3. replace var`j' = b_col`j'_row`k' if _n==6*(`k'-1)+1 + 4. replace var`j' = se_col`j'_row`k' if _n==6*(`k'-1)+2 + 5. replace var`j' = n_col`j'_row`k' if _n==6*(`k'-1)+3 + 6. replace var`j' = ni_col`j'_row`k' if _n==6*(`k'-1)+4 + 7. replace var`j' = ob_col`j'_row`k' if _n==6*(`k'-1)+5 + 8. } + 9. } +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) +(1 real change made) +(1 real change made) +(1 real change made) +(1 real change made) +(0 real changes made) + +. +. keep var1-var6 + +. keep if _n<=18 +(62,331 observations deleted) + +. +. order var6 var1-var5 + +. +. ren var6 sampletype + +. ren var1 OLS_all + +. ren var2 RD_bwidth + +. ren var3 RD_match_bw + +. ren var4 PS_match + +. ren var5 PS_match_indiv + +. +. foreach var of varlist OLS_all RD_bwidth RD_match_bw PS_match PS_match_indiv { + 2. gen str3 `var'_stars ="*" if abs(`var'/`var'[_n+1])>=1.645 & mod(_n,6)==1 + 3. replace `var'_stars ="**" if abs(`var'/`var'[_n+1])>=1.96 & mod(_n,6)==1 + 4. replace `var'_stars="***" if abs(`var'/`var'[_n+1])>=2.58 & mod(_n,6)==1 + 5. } +(18 missing values generated) +(0 real changes made) +(0 real changes made) +(18 missing values generated) +(0 real changes made) +(0 real changes made) +(18 missing values generated) +(0 real changes made) +(0 real changes made) +(18 missing values generated) +(0 real changes made) +(0 real changes made) +(18 missing values generated) +(0 real changes made) +(0 real changes made) + +. +. replace sampletype = "All" if _n>=1 & _n<=5 +(5 real changes made) + +. replace sampletype = "Democrats" if _n>=7 & _n<=11 +(5 real changes made) + +. replace sampletype = "Republicans" if _n>=13 & _n<=17 +(5 real changes made) + +. +. order sampletype OLS_all OLS_all_stars RD_bwidth RD_bwidth_stars RD_match_bw RD_match_bw_stars PS_match PS_match_stars PS_match_indiv PS_match_indiv_stars + +. export excel using "$Output/TableD2_Placebo_CosponsorsOpposite", firstrow(var) replace +file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Output/TableD2_Placebo_CosponsorsOpposite.xls saved + +. +. restore + +. +. log close + name: + log: /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Log/TableD2.log + log type: text + closed on: 13 Jul 2021, 22:53:07 +--------------------------------------------------------------------------------------------------------------------------------------------------------------------- diff --git a/30/replication_package/Output/AppendixC_simulations_output/rd_simulations1.dta b/30/replication_package/Output/AppendixC_simulations_output/rd_simulations1.dta new file mode 100644 index 0000000000000000000000000000000000000000..d54fb73ab9f3bed5fa20fde7bb2d7a5b4e741420 --- /dev/null +++ b/30/replication_package/Output/AppendixC_simulations_output/rd_simulations1.dta @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:378fa2158c3d556b2b1882b2960032980d0b690b5c425fb53737c9b378858609 +size 337796 diff --git 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b/30/replication_package/Output/AppendixC_simulations_output/results_AppendixTableC1.tex @@ -0,0 +1,38 @@ +{ +\def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi} +\begin{tabular}{l*{6}{c}} +\hline\hline + & 1 & 2 & 3 & 4 & 5 & 6 \\ +\hline +Density test (p-value)& 0.546 & 0.031 & 0.529 & 0.031 & 0.514 & 0.032 \\ + & & & & & & \\ +[1em] +Discontinuity in ideology& 0.000 & 0.055 & -0.001 & 0.057 & 0.001 & 0.059 \\ + & & & & & & \\ +[1em] +RD - simple & 0.002 & 0.059 & 0.000 & 0.052 & 0.006 & 0.056 \\ + & & & & & & \\ +[1em] +P-score weighted RD - x& 0.003 & 0.056 & 0.001 & 0.048 & 0.006 & 0.051 \\ + & & & & & & \\ +[1em] +P-score weighted RD - district ideology& 0.003 & 0.054 & 0.001 & 0.045 & 0.007 & 0.050 \\ + & & & & & & \\ +[1em] +P-score weighted RD - ideology of elected representative& 0.002 & 0.059 & -0.000 & 0.046 & 0.007 & 0.050 \\ + & & & & & & \\ +[1em] +P-score weighted, x & 0.001 & 0.053 & 0.002 & 0.036 & 0.000 & 0.048 \\ + & & & & & & \\ +[1em] +P-score weighted, district ideology& 0.001 & 0.052 & 0.001 & 0.044 & -0.000 & 0.051 \\ + & & & & & & \\ +[1em] +P-score weighted, ideology of elected representative& 0.001 & 0.053 & 0.001 & 0.041 & 0.000 & 0.059 \\ + & & & & & & \\ +[1em] +OLS & 0.001 & 0.046 & 0.002 & 0.040 & -0.000 & 0.052 \\ + & & & & & & \\ +\hline\hline +\end{tabular} +} diff --git a/30/replication_package/Output/AppendixC_simulations_output/results_AppendixTableC2.tex b/30/replication_package/Output/AppendixC_simulations_output/results_AppendixTableC2.tex new file mode 100644 index 0000000000000000000000000000000000000000..c9efbeb884ca20d73998f712381dc8c140e1effc --- /dev/null +++ b/30/replication_package/Output/AppendixC_simulations_output/results_AppendixTableC2.tex @@ -0,0 +1,38 @@ +{ +\def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi} +\begin{tabular}{l*{6}{c}} +\hline\hline + & 1 & 2 & 3 & 4 & 5 & 6 \\ +\hline +Density test (p-value)& 0.526 & 0.033 & 0.025 & 0.889 & 0.025 & 0.901 \\ + & & & & & & \\ +[1em] +Discontinuity in ideology& -0.000 & 0.052 & 0.003 & 0.070 & -0.002 & 0.058 \\ + & & & & & & \\ +[1em] +RD - simple & -0.018 & 0.051 & 0.001 & 0.054 & 0.033 & 0.067 \\ + & & & & & & \\ +[1em] +P-score weighted RD - x& -0.018 & 0.049 & 0.000 & 0.078 & 0.033 & 0.098 \\ + & & & & & & \\ +[1em] +P-score weighted RD - district ideology& -0.019 & 0.048 & -0.006 & 0.070 & 0.028 & 0.090 \\ + & & & & & & \\ +[1em] +P-score weighted RD - ideology of elected representative& 0.012 & 0.082 & 0.009 & 0.075 & 0.011 & 0.086 \\ + & & & & & & \\ +[1em] +P-score weighted, x & 0.005 & 0.053 & -0.055 & 0.368 & 0.066 & 0.226 \\ + & & & & & & \\ +[1em] +P-score weighted, district ideology& -0.010 & 0.069 & -0.014 & 0.074 & 0.017 & 0.062 \\ + & & & & & & \\ +[1em] +P-score weighted, ideology of elected representative& 0.000 & 0.050 & 0.001 & 0.054 & 0.000 & 0.042 \\ + & & & & & & \\ +[1em] +OLS & -0.037 & 0.228 & -0.106 & 0.814 & 0.126 & 0.594 \\ + & & & & & & \\ +\hline\hline +\end{tabular} +} diff --git a/30/replication_package/Output/AppendixC_simulations_output/results_AppendixTableC3.tex b/30/replication_package/Output/AppendixC_simulations_output/results_AppendixTableC3.tex new file mode 100644 index 0000000000000000000000000000000000000000..a06da5a4ddd3b34f7a2d0bcc8040aad5c1bf7218 --- /dev/null +++ b/30/replication_package/Output/AppendixC_simulations_output/results_AppendixTableC3.tex @@ -0,0 +1,38 @@ +{ +\def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi} +\begin{tabular}{l*{6}{c}} +\hline\hline + & 1 & 2 & 3 & 4 & 5 & 6 \\ +\hline +Density test (p-value)& 0.517 & 0.047 & 0.211 & 0.359 & 0.160 & 0.434 \\ + & & & & & & \\ +[1em] +Discontinuity in ideology& 0.001 & 0.052 & 0.211 & 1.000 & -0.210 & 1.000 \\ + & & & & & & \\ +[1em] +RD - simple & 0.622 & 0.961 & 0.482 & 0.611 & 0.522 & 0.543 \\ + & & & & & & \\ +[1em] +P-score weighted RD - x& 0.621 & 0.961 & 0.431 & 0.555 & 0.473 & 0.503 \\ + & & & & & & \\ +[1em] +P-score weighted RD - district ideology& 0.621 & 0.958 & 0.018 & 0.277 & 0.100 & 0.202 \\ + & & & & & & \\ +[1em] +P-score weighted RD - ideology of elected representative& 0.539 & 0.897 & 0.044 & 0.181 & 0.072 & 0.181 \\ + & & & & & & \\ +[1em] +P-score weighted, x & 0.382 & 1.000 & 0.375 & 1.000 & 0.069 & 0.208 \\ + & & & & & & \\ +[1em] +P-score weighted, district ideology& 0.396 & 1.000 & -0.061 & 0.198 & 0.015 & 0.058 \\ + & & & & & & \\ +[1em] +P-score weighted, ideology of elected representative& 0.326 & 1.000 & 0.020 & 0.089 & -0.002 & 0.049 \\ + & & & & & & \\ +[1em] +OLS & 0.159 & 1.000 & 0.131 & 0.976 & 0.123 & 0.523 \\ + & & & & & & \\ +\hline\hline +\end{tabular} +} diff --git a/30/replication_package/Output/Figure1.eps b/30/replication_package/Output/Figure1.eps new file mode 100644 index 0000000000000000000000000000000000000000..6fcb8209b3057936b80e744bc2e0805ba3f052c1 --- /dev/null +++ b/30/replication_package/Output/Figure1.eps @@ -0,0 +1,5024 @@ +%!PS-Adobe-2.0 EPSF-2.0 +%% This is a Stata generated postscript file +%%BoundingBox: 0 0 396 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9111 6942 Sln +9111 6942 9120 6987 Sln +9120 6987 9187 7031 Sln +9187 7031 9192 7038 Sln +9359 7194 9389 7208 Sln +9389 7208 9390 7252 Sln +9390 7252 9406 7296 Sln +9406 7296 9424 7341 Sln +9424 7341 9485 7385 Sln +9485 7385 9550 7429 Sln +9550 7429 9682 7472 Sln +9829 7641 9843 7650 Sln +9843 7650 9911 7695 Sln +9911 7695 9941 7739 Sln +9941 7739 10011 7783 Sln +10011 7783 10029 7827 Sln +10029 7827 10033 7872 Sln +10033 7872 10044 7916 Sln +10044 7916 10047 7960 Sln +10047 7960 10065 8004 Sln +10065 8004 10067 8004 Sln +10291 8064 10461 8093 Sln +10461 8093 10554 8137 Sln +10554 8137 10587 8182 Sln +10587 8182 10668 8226 Sln +10668 8226 10685 8264 Sln +10786 8423 10891 8447 Sln +10891 8447 10915 8491 Sln +10915 8491 10931 8536 Sln +10931 8536 10938 8580 Sln +10938 8580 10942 8624 Sln +10942 8624 10980 8668 Sln +10980 8668 10988 8713 Sln +10988 8713 11046 8746 Sln +11166 8936 11198 8978 Sln +11198 8978 11209 9022 Sln +11209 9022 11231 9067 Sln +11231 9067 11236 9111 Sln +11236 9111 11242 9155 Sln +11242 9155 11281 9199 Sln +11281 9199 11291 9244 Sln +11291 9244 11409 9279 Sln +11526 9454 11526 9465 Sln +11526 9465 11535 9509 Sln +11535 9509 11569 9553 Sln +11569 9553 11603 9598 Sln +11603 9598 11617 9642 Sln +11617 9642 11689 9686 Sln +11689 9686 11852 9723 Sln +11964 9907 11964 9907 Sln +11964 9907 12132 9952 Sln +12132 9952 12147 9996 Sln +12147 9996 12176 10040 Sln +12176 10040 12201 10085 Sln +12201 10085 12229 10129 Sln +12229 10129 12239 10173 Sln +12239 10173 12260 10209 Sln +12337 10424 12347 10439 Sln +12347 10439 12369 10483 Sln +12369 10483 12372 10527 Sln +12372 10527 12384 10571 Sln +12384 10571 12391 10616 Sln +12391 10616 12404 10660 Sln +12404 10660 12404 10704 Sln +12404 10704 12431 10748 Sln +12431 10748 12454 10793 Sln +12454 10793 12467 10837 Sln +12467 10837 12477 10860 Sln +12644 11003 12665 11014 Sln +12665 11014 12697 11058 Sln +12697 11058 12709 11102 Sln +12709 11102 12755 11147 Sln +12755 11147 12772 11191 Sln +12772 11191 12798 11235 Sln +12798 11235 12823 11279 Sln +12823 11279 12851 11324 Sln +12851 11324 12861 11368 Sln +12861 11368 12875 11394 Sln +12949 11611 12960 11633 Sln +12960 11633 12969 11678 Sln +12969 11678 13002 11722 Sln +13002 11722 13002 11766 Sln +13002 11766 13036 11810 Sln +13036 11810 13053 11855 Sln +13053 11855 13054 11899 Sln +13054 11899 13065 11943 Sln +13065 11943 13091 11987 Sln +13091 11987 13098 12032 Sln +13098 12032 13103 12035 Sln +13281 12169 13327 12209 Sln +13327 12209 13334 12253 Sln +13334 12253 13342 12297 Sln +13342 12297 13346 12342 Sln +13346 12342 13388 12386 Sln +13388 12386 13391 12430 Sln +13391 12430 13401 12474 Sln +13401 12474 13403 12519 Sln +13403 12519 13422 12563 Sln +13422 12563 13430 12590 Sln +13468 12820 13469 12828 Sln +13469 12828 13473 12873 Sln +13473 12873 13476 12917 Sln +13476 12917 13487 12961 Sln +13487 12961 13513 13005 Sln +13513 13005 13523 13050 Sln +13523 13050 13537 13094 Sln +13537 13094 13635 13138 Sln +13635 13138 13666 13182 Sln +13666 13182 13677 13196 Sln +13753 13411 13754 13448 Sln +13754 13448 13765 13492 Sln +13765 13492 13782 13536 Sln +13782 13536 13833 13581 Sln +13833 13581 13835 13625 Sln +13835 13625 13859 13669 Sln +13859 13669 13911 13713 Sln +13911 13713 13941 13758 Sln +13941 13758 13948 13802 Sln +13948 13802 13951 13808 Sln +14018 14027 14019 14068 Sln +14019 14068 14023 14112 Sln +14023 14112 14058 14156 Sln +14058 14156 14075 14200 Sln +14075 14200 14076 14245 Sln +14076 14245 14079 14289 Sln +14079 14289 14107 14333 Sln +14107 14333 14125 14377 Sln +14125 14377 14130 14422 Sln +14130 14422 14153 14457 Sln +14183 14687 14183 14687 Sln +14183 14687 14192 14731 Sln +14192 14731 14201 14776 Sln +14201 14776 14206 14820 Sln +14206 14820 14212 14864 Sln +14212 14864 14249 14908 Sln +14249 14908 14270 14953 Sln +14270 14953 14312 14997 Sln +14312 14997 14339 15041 Sln +14339 15041 14340 15085 Sln +14340 15085 14346 15105 Sln +14416 15322 14416 15351 Sln +14416 15351 14446 15395 Sln +14446 15395 14451 15439 Sln +14451 15439 14457 15484 Sln +14457 15484 14458 15528 Sln +14458 15528 14458 15572 Sln +14458 15572 14492 15616 Sln +14492 15616 14493 15661 Sln +14493 15661 14527 15705 Sln +14527 15705 14549 15749 Sln +14624 15964 14627 15970 Sln +14627 15970 14644 16015 Sln +14644 16015 14652 16059 Sln +14652 16059 14660 16103 Sln +14660 16103 14669 16148 Sln +14669 16148 14678 16192 Sln +14678 16192 14719 16236 Sln +14719 16236 14746 16280 Sln +14746 16280 14800 16325 Sln +14800 16325 14836 16357 Sln +14976 16524 14977 16546 Sln +14977 16546 14987 16590 Sln +14987 16590 15012 16634 Sln +15012 16634 15039 16679 Sln +15039 16679 15053 16723 Sln +15053 16723 15102 16767 Sln +15102 16767 15124 16811 Sln +15124 16811 15161 16856 Sln +15161 16856 15224 16897 Sln +15333 17088 15426 17121 Sln +15426 17121 15515 17165 Sln +15515 17165 15520 17210 Sln +15520 17210 15568 17254 Sln +15568 17254 15569 17298 Sln +15569 17298 15570 17342 Sln +15570 17342 15592 17387 Sln +15592 17387 15598 17405 Sln +15788 17521 15789 17564 Sln +15789 17564 15828 17608 Sln +15828 17608 15857 17652 Sln +15857 17652 15885 17696 Sln +15885 17696 15887 17741 Sln +15887 17741 15948 17785 Sln +15948 17785 16014 17829 Sln +16014 17829 16019 17873 Sln +16019 17873 16020 17888 Sln +16085 18103 16100 18139 Sln +16100 18139 16171 18183 Sln +16171 18183 16204 18228 Sln +16204 18228 16283 18272 Sln +16283 18272 16312 18316 Sln +16312 18316 16315 18360 Sln +16315 18360 16332 18405 Sln +16332 18405 16358 18449 Sln +16499 18620 16504 18626 Sln +16504 18626 16545 18670 Sln +16545 18670 16564 18714 Sln +16564 18714 16584 18759 Sln +16584 18759 16640 18803 Sln +16640 18803 16660 18847 Sln +16660 18847 16708 18891 Sln +16708 18891 16746 18936 Sln +16746 18936 16783 18978 Sln +16997 19068 16998 19068 Sln +16998 19068 17031 19113 Sln +17031 19113 17161 19157 Sln +17161 19157 17171 19201 Sln +17171 19201 17194 19245 Sln +17194 19245 17221 19290 Sln +17221 19290 17252 19334 Sln +17252 19334 17301 19378 Sln +17301 19378 17305 19382 Sln +17511 19479 17661 19511 Sln +17661 19511 17702 19555 Sln +17702 19555 17746 19599 Sln +17746 19599 17810 19644 Sln +17810 19644 17892 19688 Sln +17892 19688 17908 19698 Sln +18130 19756 18268 19776 Sln +18268 19776 18447 19821 Sln +18447 19821 18463 19865 Sln +18463 19865 18505 19909 Sln +18505 19909 18533 19927 Sln +18737 20021 18850 20042 Sln +18850 20042 19038 20086 Sln +19038 20086 19191 20121 Sln +19366 20239 19465 20263 Sln +19465 20263 19540 20308 Sln +19540 20308 19714 20352 Sln +19714 20352 19809 20364 Sln +20040 20394 20053 20396 Sln +20053 20396 20061 20440 Sln +20061 20440 20192 20485 Sln +20192 20485 20193 20529 Sln +20193 20529 20243 20573 Sln +20243 20573 20277 20617 Sln +20277 20617 20375 20649 Sln +20599 20710 20836 20750 Sln +20836 20750 20888 20794 Sln +20888 20794 20914 20839 Sln +20914 20839 20920 20883 Sln +20920 20883 20972 20913 Sln +21200 20948 21430 20971 Sln +21430 20971 21597 21016 Sln +21597 21016 21658 21027 Sln +21869 21096 21874 21104 Sln +21874 21104 22330 21128 Sln +22562 21140 22721 21148 Sln +22721 21148 22979 21193 Sln +22979 21193 23023 21196 Sln +23256 21210 23688 21237 Sln +23688 21237 23720 21239 Sln +23952 21253 24402 21281 Sln +24402 21281 24408 21294 Sln +24591 21427 24681 21458 Sln +24681 21458 24840 21502 Sln +24840 21502 24926 21547 Sln +24926 21547 25027 21585 Sln +25235 21659 25363 21679 Sln +25363 21679 25662 21724 Sln +25662 21724 25676 21754 Sln +25898 21794 26052 21812 Sln +26052 21812 26145 21856 Sln +26145 21856 26351 21879 Sln +26578 21916 26621 21945 Sln +Sepa +/Slrgb {0.753 0.753 0.753} def +Sbpa +10633 6065 Sm +11641 6074 SPl +11862 6082 SPl +11901 6090 SPl +13328 6098 SPl +13994 6106 SPl +14170 6115 SPl +14439 6123 SPl +14879 6131 SPl +15038 6139 SPl +15199 6148 SPl +15219 6156 SPl +15272 6164 SPl +15385 6172 SPl +15402 6180 SPl +15452 6189 SPl +15487 6197 SPl +15559 6205 SPl +15594 6213 SPl +15627 6221 SPl +15679 6230 SPl +15693 6238 SPl +15792 6246 SPl +15812 6254 SPl +15823 6262 SPl 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