add 106

106/paper.pdf

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b0f6d7678ecca5e754266a42bb48b6a7bdf1cf8a866f40d707b611fd43fd0c64
+size 749305

106/replication_package/01_Country_Table1/CrossCountry_Analysis_Table1.do

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+* THIS DO-FILE IS FOR THE CROSS-COUNTRY ANALYSES
+* IT CREATES OUTPUT FOR TABLE 1 AND APPENDIX TABLES B1, B2, B3, AND B4.
+* Stata needs the ado file x_ols2.ado (a slight modification of the ado file x_ols.ado programmed by Jean-Pierre Dube)
+* to calculate Conley standard errors based on genetic distance
+
+use data\CountryData.dta, clear
+
+
+*_______________________________________________________________________________
+*	Table 1: Cousin Marriage and Democracy: Cross-country Evidence
+*			(with Conley standard errors based on genetic distance)
+
+gen cutoff1=.01 //define cutoff for Conley based on genetic distance
+gen cutoff2=.01
+gen constant=1
+
+* Table 1, Panel 1 (cousin marriage preference), Panel 2 (cousin-term differentiation), Panel 3 (log % cousin marriage)
+local y pol_Democracy_1996_2015
+local a nu_rugged ag_distcr du_caloricsui ag_abslat
+
+foreach v of var CousinMarriagePref CousinTermDiff bit_consang_ln { 
+
+preserve
+keep if `y'!=. & `v'!=.
+reg `y' `v' , r
+local r2_x = e(r2)
+x_ols2 gendist_coord1 gendist_coord2 cutoff1 cutoff2 `y' `v' constant, coord(2) xreg(2)
+ereturn post beta cov_dep
+quiet eststo: ereturn display
+estadd scalar r2 = `r2_x'
+drop epsilon window dis1 dis2
+
+reg `y' `v' `a', r
+local r2_x = e(r2)
+x_ols2 gendist_coord1 gendist_coord2 cutoff1 cutoff2 `y' `v' `a' constant, coord(2) xreg(6)
+ereturn post beta cov_dep
+quiet eststo: ereturn display
+estadd scalar r2 = `r2_x'
+drop epsilon window dis1 dis2
+
+reg `y' `v' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain, r
+local r2_x = e(r2)
+x_ols2 gendist_coord1 gendist_coord2 cutoff1 cutoff2 `y' `v' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain constant, coord(2) xreg(12)
+ereturn post beta cov_dep
+quiet eststo: ereturn display
+estadd scalar r2 = `r2_x'
+drop epsilon window dis1 dis2
+
+reg `y' `v' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain ag_yst_aa ag_pdiv_aa, r
+local r2_x = e(r2)
+x_ols2 gendist_coord1 gendist_coord2 cutoff1 cutoff2 `y' `v' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain ag_yst_aa ag_pdiv_aa constant, coord(2) xreg(14)
+ereturn post beta cov_dep
+quiet eststo: ereturn display
+estadd scalar r2 = `r2_x'
+drop epsilon window dis1 dis2
+
+reg `y' `v' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain ag_yst_aa ag_pdiv_aa ft_CombinedPa irri_impact4_5 , r
+local r2_x = e(r2)
+x_ols2 gendist_coord1 gendist_coord2 cutoff1 cutoff2 `y' `v' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain ag_yst_aa ag_pdiv_aa ft_CombinedPa irri_impact4_5 constant, coord(2) xreg(16)
+ereturn post beta cov_dep
+quiet eststo: ereturn display
+estadd scalar r2 = `r2_x'
+drop epsilon window dis1 dis2
+
+reg `y' `v' `a' ag_cont_*, r
+local r2_x = e(r2)
+x_ols2 gendist_coord1 gendist_coord2 cutoff1 cutoff2 `y' `v' `a' ag_cont_* constant, coord(2) xreg(10)
+ereturn post beta cov_dep
+quiet eststo: ereturn display
+estadd scalar r2 = `r2_x'
+drop epsilon window dis1 dis2
+
+reg `y' `v' `a' bar_christ bar_MUSLIM00 bar_HINDU00 bar_BUDDIS00, r
+local r2_x = e(r2)
+x_ols2 gendist_coord1 gendist_coord2 cutoff1 cutoff2 `y' `v' `a' bar_christ bar_MUSLIM00 bar_HINDU00 bar_BUDDIS00 constant, coord(2) xreg(10)
+ereturn post beta cov_dep
+quiet eststo: ereturn display
+estadd scalar r2 = `r2_x'
+drop epsilon window dis1 dis2
+
+reg `y' `v' `a' ag_peuro, r
+local r2_x = e(r2)
+x_ols2 gendist_coord1 gendist_coord2 cutoff1 cutoff2 `y' `v' `a' ag_peuro constant, coord(2) xreg(7)
+ereturn post beta cov_dep
+quiet eststo: ereturn display
+estadd scalar r2 = `r2_x'
+drop epsilon window dis1 dis2
+
+esttab using tables\Table1_`v'.rtf, varlabels(__000005 `v') replace star(* 0.10 ** 0.05 *** 0.01) r2 se cells(b(star fmt(2)) se(par fmt(2)))
+eststo clear
+restore	
+}
+
+* Table 1, Panel 4 (Western and Eastern Church exposure)
+local y pol_Democracy_1996_2015
+local a nu_rugged ag_distcr du_caloricsui ag_abslat
+local u ChurchExpWest 
+local v ChurchExpEast
+
+preserve
+keep if `y'!=. & ChurchExpWest!=. & ChurchExpEast!=. 
+reg `y' `u' `v' , r
+local r2_x = e(r2)
+x_ols2 gendist_coord1 gendist_coord2 cutoff1 cutoff2 `y' `u' `v' constant, coord(2) xreg(3)
+ereturn post beta cov_dep
+quiet eststo: ereturn display
+estadd scalar r2 = `r2_x'
+drop epsilon window dis1 dis2
+
+reg `y' `u' `v' `a', r
+local r2_x = e(r2)
+x_ols2 gendist_coord1 gendist_coord2 cutoff1 cutoff2 `y' `u' `v' `a' constant, coord(2) xreg(7)
+ereturn post beta cov_dep
+quiet eststo: ereturn display
+estadd scalar r2 = `r2_x'
+drop epsilon window dis1 dis2
+
+reg `y' `u' `v' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain, r
+local r2_x = e(r2)
+x_ols2 gendist_coord1 gendist_coord2 cutoff1 cutoff2 `y' `u' `v' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain constant, coord(2) xreg(13)
+ereturn post beta cov_dep
+quiet eststo: ereturn display
+estadd scalar r2 = `r2_x'
+drop epsilon window dis1 dis2
+
+reg `y' `u' `v' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain ag_yst_aa ag_pdiv_aa, r
+local r2_x = e(r2)
+x_ols2 gendist_coord1 gendist_coord2 cutoff1 cutoff2 `y' `u' `v' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain ag_yst_aa ag_pdiv_aa constant, coord(2) xreg(15)
+ereturn post beta cov_dep
+quiet eststo: ereturn display
+estadd scalar r2 = `r2_x'
+drop epsilon window dis1 dis2
+
+reg `y' `u' `v' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain ag_yst_aa ag_pdiv_aa ft_CombinedPa irri_impact4_5, r
+local r2_x = e(r2)
+x_ols2 gendist_coord1 gendist_coord2 cutoff1 cutoff2 `y' `u' `v' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain ag_yst_aa ag_pdiv_aa ft_CombinedPa irri_impact4_5 constant, coord(2) xreg(17)
+ereturn post beta cov_dep
+quiet eststo: ereturn display
+estadd scalar r2 = `r2_x'
+drop epsilon window dis1 dis2
+
+reg `y' `u' `v' `a' ag_cont_*, r
+local r2_x = e(r2)
+x_ols2 gendist_coord1 gendist_coord2 cutoff1 cutoff2 `y' `u' `v' `a' ag_cont_* constant, coord(2) xreg(11)
+ereturn post beta cov_dep
+quiet eststo: ereturn display
+estadd scalar r2 = `r2_x'
+drop epsilon window dis1 dis2
+
+reg `y' `u' `v' `a' bar_christ bar_MUSLIM00 bar_HINDU00 bar_BUDDIS00, r
+local r2_x = e(r2)
+x_ols2 gendist_coord1 gendist_coord2 cutoff1 cutoff2 `y' `u' `v' `a' bar_christ bar_MUSLIM00 bar_HINDU00 bar_BUDDIS00 constant, coord(2) xreg(11)
+ereturn post beta cov_dep
+quiet eststo: ereturn display
+estadd scalar r2 = `r2_x'
+drop epsilon window dis1 dis2
+
+reg `y' `u' `v' `a' ag_peuro, r
+local r2_x = e(r2)
+x_ols2 gendist_coord1 gendist_coord2 cutoff1 cutoff2 `y' `u' `v' `a' ag_peuro constant, coord(2) xreg(8)
+ereturn post beta cov_dep
+quiet eststo: ereturn display
+estadd scalar r2 = `r2_x'
+drop epsilon window dis1 dis2
+
+esttab using tables\Table1_Church.rtf, coeflabels(__000005 "`u'" __000006 "`v'") replace star(* 0.10 ** 0.05 *** 0.01) r2 se cells(b(star fmt(2)) se(par fmt(2)))
+eststo clear
+restore	
+
+*_______________________________________________________________________________
+*	Check for multicolinearity if all controls were added simultaneously
+local y pol_Democracy_1996_2015
+local a nu_rugged ag_distcr du_caloricsui ag_abslat
+foreach v of var CousinMarriagePref CousinTermDiff bit_consang_ln { 
+preserve
+keep if `y'!=. & `v'!=.
+reg `y' `v' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain ag_yst_aa ag_pdiv_aa ft_CombinedPa irri_impact4_5 ag_cont_* ag_peuro bar_christ bar_MUSLIM00 bar_HINDU00 bar_BUDDIS00, r
+vif
+restore	
+}
+local v ChurchExpWest ChurchExpEast
+reg `y' `v' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain ag_yst_aa ag_pdiv_aa ft_CombinedPa irri_impact4_5 ag_cont_* ag_peuro bar_christ bar_MUSLIM00 bar_HINDU00 bar_BUDDIS00, r
+vif
+
+
+
+
+*_______________________________________________________________________________
+*	Table B1: Kinship and Democracy: Cross-country Evidence with Conley standard errors based on geographic distance
+gen const = 1
+gen year = 2
+gen cellID=3
+
+* Table B1, Panel 1 (cousin marriage preference), Panel 2 (cousin-term differentiation), Panel 3 (log % cousin marriage)
+local dist 10000
+local y pol_Democracy_1996_2015
+local a nu_rugged ag_distcr du_caloricsui ag_abslat
+
+foreach v of var CousinMarriagePref CousinTermDiff bit_consang_ln {
+quiet reg `y' `v', r
+mat robust_mat1=r(table)
+mat robust_mat2=robust_mat1[2,1...]
+eststo: acreg `y' `v', spatial latitude(nu_lat) longitude(nu_lon) dist(`dist') bartlett
+estadd mat robust_se=robust_mat2
+
+quiet reg `y' `v' `a', r
+mat robust_mat1=r(table)
+mat robust_mat2=robust_mat1[2,1...]
+eststo: acreg `y' `v' `a', spatial latitude(nu_lat) longitude(nu_lon) dist(`dist') bartlett
+estadd mat robust_se=robust_mat2
+
+quiet reg `y' `v' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain, r
+mat robust_mat1=r(table)
+mat robust_mat2=robust_mat1[2,1...]
+eststo: acreg `y' `v' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain, spatial latitude(nu_lat) longitude(nu_lon) dist(`dist') bartlett
+estadd mat robust_se=robust_mat2
+
+quiet reg `y' `v' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain ag_yst_aa ag_pdiv_aa, r
+mat robust_mat1=r(table)
+mat robust_mat2=robust_mat1[2,1...]
+eststo: acreg `y' `v' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain ag_yst_aa ag_pdiv_aa, spatial latitude(nu_lat) longitude(nu_lon) dist(`dist') bartlett
+estadd mat robust_se=robust_mat2
+
+quiet reg `y' `v' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain ag_yst_aa ag_pdiv_aa ft_CombinedPa irri_impact4_5, r
+mat robust_mat1=r(table)
+mat robust_mat2=robust_mat1[2,1...]
+eststo: acreg `y' `v' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain ag_yst_aa ag_pdiv_aa ft_CombinedPa irri_impact4_5, spatial latitude(nu_lat) longitude(nu_lon) dist(`dist') bartlett
+estadd mat robust_se=robust_mat2
+
+quiet reg `y' `v' `a' ag_cont_*, r
+mat robust_mat1=r(table)
+mat robust_mat2=robust_mat1[2,1...]
+eststo: acreg `y' `v' `a' ag_cont_*, spatial latitude(nu_lat) longitude(nu_lon) dist(`dist') bartlett
+estadd mat robust_se=robust_mat2
+
+quiet reg `y' `v' `a' bar_christ bar_MUSLIM00 bar_HINDU00 bar_BUDDIS00, r
+mat robust_mat1=r(table)
+mat robust_mat2=robust_mat1[2,1...]
+eststo: acreg `y' `v' `a' bar_christ bar_MUSLIM00 bar_HINDU00 bar_BUDDIS00, spatial latitude(nu_lat) longitude(nu_lon) dist(`dist') bartlett
+estadd mat robust_se=robust_mat2
+
+quiet reg `y' `v' `a' ag_peuro, r
+mat robust_mat1=r(table)
+mat robust_mat2=robust_mat1[2,1...]
+eststo: acreg `y' `v' `a' ag_peuro, spatial latitude(nu_lat) longitude(nu_lon) dist(`dist') bartlett
+estadd mat robust_se=robust_mat2
+
+esttab using tables\TableB1_`v'.rtf, replace star(* 0.10 ** 0.05 *** 0.01) cells(b(star fmt(2)) se(par fmt(2)) robust_se(fmt(2) par(" \right[ " " \left] ")))
+eststo clear
+}
+
+*Table B1, Panel 4 Church
+local dist 10000
+local a nu_rugged ag_distcr du_caloricsui ag_abslat
+local v ChurchExpWest ChurchExpEast
+
+foreach y of var pol_Democracy_1996_2015 {
+quiet reg `y' `v', r
+mat robust_mat1=r(table)
+mat robust_mat2=robust_mat1[2,1...]
+eststo: acreg `y' `v', spatial latitude(nu_lat) longitude(nu_lon) dist(`dist') bartlett
+estadd mat robust_se=robust_mat2
+
+quiet reg `y' `v' `a', r
+mat robust_mat1=r(table)
+mat robust_mat2=robust_mat1[2,1...]
+eststo: acreg `y' `v' `a', spatial latitude(nu_lat) longitude(nu_lon) dist(`dist') bartlett
+estadd mat robust_se=robust_mat2
+
+quiet reg `y' `v' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain, r
+mat robust_mat1=r(table)
+mat robust_mat2=robust_mat1[2,1...]
+eststo: acreg `y' `v' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain, spatial latitude(nu_lat) longitude(nu_lon) dist(`dist') bartlett
+estadd mat robust_se=robust_mat2
+
+quiet reg `y' `v' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain ag_yst_aa ag_pdiv_aa, r
+mat robust_mat1=r(table)
+mat robust_mat2=robust_mat1[2,1...]
+eststo: acreg `y' `v' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain ag_yst_aa ag_pdiv_aa, spatial latitude(nu_lat) longitude(nu_lon) dist(`dist') bartlett
+estadd mat robust_se=robust_mat2
+
+quiet reg `y' `v' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain ag_yst_aa ag_pdiv_aa ft_CombinedPa irri_impact4_5, r
+mat robust_mat1=r(table)
+mat robust_mat2=robust_mat1[2,1...]
+eststo: acreg `y' `v' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain ag_yst_aa ag_pdiv_aa ft_CombinedPa irri_impact4_5, spatial latitude(nu_lat) longitude(nu_lon) dist(`dist') bartlett
+estadd mat robust_se=robust_mat2
+
+quiet reg `y' `v' `a' ag_cont_*, r
+mat robust_mat1=r(table)
+mat robust_mat2=robust_mat1[2,1...]
+eststo: acreg `y' `v' `a' ag_cont_*, spatial latitude(nu_lat) longitude(nu_lon) dist(`dist') bartlett
+estadd mat robust_se=robust_mat2
+
+quiet reg `y' `v' `a' bar_christ bar_MUSLIM00 bar_HINDU00 bar_BUDDIS00, r
+mat robust_mat1=r(table)
+mat robust_mat2=robust_mat1[2,1...]
+eststo: acreg `y' `v' `a' bar_christ bar_MUSLIM00 bar_HINDU00 bar_BUDDIS00, spatial latitude(nu_lat) longitude(nu_lon) dist(`dist') bartlett
+estadd mat robust_se=robust_mat2
+
+quiet reg `y' `v' `a' ag_peuro, r
+mat robust_mat1=r(table)
+mat robust_mat2=robust_mat1[2,1...]
+eststo: acreg `y' `v' `a' ag_peuro, spatial latitude(nu_lat) longitude(nu_lon) dist(`dist') bartlett
+estadd mat robust_se=robust_mat2
+
+esttab using tables\TableB1_Church.rtf, replace star(* 0.10 ** 0.05 *** 0.01) cells(b(star fmt(2)) se(par fmt(2)) robust_se(fmt(2) par(" \right[ " " \left] ")))
+eststo clear
+}
+
+
+*_______________________________________________________________________________
+* Table B2:  Local variation in Kinship and Democracy: Cross-country Evidence
+*			  Regression controls for the surrounding countries kinship and Church exposure
+
+local y pol_Democracy_1996_2015
+local a nu_rugged ag_distcr du_caloricsui ag_abslat
+
+* Table B2, Panel 1: Cousin marriage preferred
+local v CousinMarriagePref 
+local w close_CousinMarriagePref_2000
+preserve
+eststo: reg `y' `v' `w', r
+eststo: reg `y' `v' `w' `a', r
+eststo: reg `y' `v' `w' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain, r
+eststo: reg `y' `v' `w' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain ag_yst_aa ag_pdiv_aa, r
+eststo: reg `y' `v' `w' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain ag_yst_aa ag_pdiv_aa ft_CombinedPa irri_impact4_5, r
+eststo: reg `y' `v' `w' `a' ag_cont_*, r
+eststo: reg `y' `v' `w' `a' bar_christ bar_MUSLIM00 bar_HINDU00 bar_BUDDIS00, r
+eststo: reg `y' `v' `w' `a' ag_peuro, r
+esttab using tables\TableB2_Panel_1_`v'.rtf, replace star(* 0.10 ** 0.05 *** 0.01) r2 se cells(b(star fmt(2)) se(par fmt(2)))
+eststo clear
+restore	
+
+*Table B2, Panel 2: Cousin-term differentiation
+local v CousinTermDiff
+local w close_CousinTermDiff_2000
+preserve
+eststo: reg `y' `v' `w', r
+eststo: reg `y' `v' `w' `a', r
+eststo: reg `y' `v' `w' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain, r
+eststo: reg `y' `v' `w' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain ag_yst_aa ag_pdiv_aa, r
+eststo: reg `y' `v' `w' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain ag_yst_aa ag_pdiv_aa ft_CombinedPa irri_impact4_5, r
+eststo: reg `y' `v' `w' `a' ag_cont_*, r
+eststo: reg `y' `v' `w' `a' bar_christ bar_MUSLIM00 bar_HINDU00 bar_BUDDIS00, r
+eststo: reg `y' `v' `w' `a' ag_peuro, r
+esttab using tables\TableB2_Panel_2_`v'.rtf, replace star(* 0.10 ** 0.05 *** 0.01) r2 se cells(b(star fmt(2)) se(par fmt(2)))
+eststo clear
+restore	
+
+*Table B2, Panel 3: Log % cousin marriage
+local v bit_consang_ln
+local w close_bit_consang_2000_ln
+preserve
+eststo: reg `y' `v' `w', r
+eststo: reg `y' `v' `w' `a', r
+eststo: reg `y' `v' `w' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain, r
+eststo: reg `y' `v' `w' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain ag_yst_aa ag_pdiv_aa, r
+eststo: reg `y' `v' `w' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain ag_yst_aa ag_pdiv_aa ft_CombinedPa irri_impact4_5, r
+eststo: reg `y' `v' `w' `a' ag_cont_*, r
+eststo: reg `y' `v' `w' `a' bar_christ bar_MUSLIM00 bar_HINDU00 bar_BUDDIS00, r
+eststo: reg `y' `v' `w' `a' ag_peuro, r
+esttab using tables\TableB2_Panel_3_`v'.rtf, replace star(* 0.10 ** 0.05 *** 0.01) r2 se cells(b(star fmt(2)) se(par fmt(2)))
+eststo clear
+restore	
+
+*Table B2, Panel 4: Church exposure
+local v ChurchExpWest close_ChurchExpWest_2000
+local w ChurchExpEast close_ChurchExpEast_2000
+preserve
+eststo: reg `y' `v' `w', r
+eststo: reg `y' `v' `w' `a', r
+eststo: reg `y' `v' `w' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain, r
+eststo: reg `y' `v' `w' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain ag_yst_aa ag_pdiv_aa, r
+eststo: reg `y' `v' `w' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain ag_yst_aa ag_pdiv_aa ft_CombinedPa irri_impact4_5, r
+eststo: reg `y' `v' `w' `a' ag_cont_*, r
+eststo: reg `y' `v' `w' `a' bar_christ bar_MUSLIM00 bar_HINDU00 bar_BUDDIS00, r
+eststo: reg `y' `v' `w' `a' ag_peuro, r
+esttab using tables\TableB2_Panel_4_Church_neigh.rtf, replace star(* 0.10 ** 0.05 *** 0.01) r2 se cells(b(star fmt(2)) se(par fmt(2)))
+eststo clear
+restore	
+
+
+
+
+
+*________________________________________________________________________________
+* Table B3: Kin Networks, GDP per Capita and Democracy: Cross-country Evidence
+*			(with Conley standard errors based on genetic distance)
+
+* Table B3, Panel 1 (cousin marriage preference), Panel 2 (cousin-term differentiation), Panel 3 (log % cousin marriage)
+local y pol_Democracy_1996_2015
+local a nu_rugged ag_distcr du_caloricsui ag_abslat ag_ln_gdppc2000
+
+foreach v of var  CousinMarriagePref CousinTermDiff bit_consang_ln {
+
+preserve
+keep if `y'!=. & `v'!=.
+reg `y' `v' ag_ln_gdppc2000, r
+local r2_x = e(r2)
+x_ols2 gendist_coord1 gendist_coord2 cutoff1 cutoff2 `y' `v' ag_ln_gdppc2000 constant, coord(2) xreg(3)
+ereturn post beta cov_dep
+quiet eststo: ereturn display
+estadd scalar r2 = `r2_x'
+drop epsilon window dis1 dis2
+
+reg `y' `v' `a', r
+local r2_x = e(r2)
+x_ols2 gendist_coord1 gendist_coord2 cutoff1 cutoff2 `y' `v' `a' constant, coord(2) xreg(7)
+ereturn post beta cov_dep
+quiet eststo: ereturn display
+estadd scalar r2 = `r2_x'
+drop epsilon window dis1 dis2
+
+reg `y' `v' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain, r
+local r2_x = e(r2)
+x_ols2 gendist_coord1 gendist_coord2 cutoff1 cutoff2 `y' `v' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain constant, coord(2) xreg(13)
+ereturn post beta cov_dep
+quiet eststo: ereturn display
+estadd scalar r2 = `r2_x'
+drop epsilon window dis1 dis2
+
+reg `y' `v' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain ag_yst_aa ag_pdiv_aa, r
+local r2_x = e(r2)
+x_ols2 gendist_coord1 gendist_coord2 cutoff1 cutoff2 `y' `v' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain ag_yst_aa ag_pdiv_aa constant, coord(2) xreg(15)
+ereturn post beta cov_dep
+quiet eststo: ereturn display
+estadd scalar r2 = `r2_x'
+drop epsilon window dis1 dis2
+
+reg `y' `v' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain ag_yst_aa ag_pdiv_aa ft_CombinedPa irri_impact4_5, r
+local r2_x = e(r2)
+x_ols2 gendist_coord1 gendist_coord2 cutoff1 cutoff2 `y' `v' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain ag_yst_aa ag_pdiv_aa ft_CombinedPa irri_impact4_5 constant, coord(2) xreg(17)
+ereturn post beta cov_dep
+quiet eststo: ereturn display
+estadd scalar r2 = `r2_x'
+drop epsilon window dis1 dis2
+
+reg `y' `v' `a' ag_cont_*, r
+local r2_x = e(r2)
+x_ols2 gendist_coord1 gendist_coord2 cutoff1 cutoff2 `y' `v' `a' ag_cont_* constant, coord(2) xreg(11)
+ereturn post beta cov_dep
+quiet eststo: ereturn display
+estadd scalar r2 = `r2_x'
+drop epsilon window dis1 dis2
+
+reg `y' `v' `a' bar_christ bar_MUSLIM00 bar_HINDU00 bar_BUDDIS00, r
+local r2_x = e(r2)
+x_ols2 gendist_coord1 gendist_coord2 cutoff1 cutoff2 `y' `v' `a' bar_christ bar_MUSLIM00 bar_HINDU00 bar_BUDDIS00 constant, coord(2) xreg(11)
+ereturn post beta cov_dep
+quiet eststo: ereturn display
+estadd scalar r2 = `r2_x'
+drop epsilon window dis1 dis2
+
+reg `y' `v' `a' ag_peuro, r
+local r2_x = e(r2)
+x_ols2 gendist_coord1 gendist_coord2 cutoff1 cutoff2 `y' `v' `a' ag_peuro constant, coord(2) xreg(8)
+ereturn post beta cov_dep
+quiet eststo: ereturn display
+estadd scalar r2 = `r2_x'
+drop epsilon window dis1 dis2
+
+esttab using tables\TableB3_`v'.rtf, varlabels(__000005 `v')  replace star(* 0.10 ** 0.05 *** 0.01) r2 se cells(b(star fmt(2)) se(par fmt(2)))
+eststo clear
+restore	
+}
+
+
+*Table B3, Panel 4: Church exposure
+local y pol_Democracy_1996_2015
+local a nu_rugged ag_distcr du_caloricsui ag_abslat ag_ln_gdppc2000
+local v ChurchExpWest ChurchExpEast
+
+preserve
+keep if `y'!=. & ChurchExpWest!=. & ChurchExpEast!=. 
+reg `y' `v' ag_ln_gdppc2000, r
+local r2_x = e(r2)
+x_ols2 gendist_coord1 gendist_coord2 cutoff1 cutoff2 `y' `v' ag_ln_gdppc2000 constant, coord(2) xreg(4)
+ereturn post beta cov_dep
+quiet eststo: ereturn display
+estadd scalar r2 = `r2_x'
+drop epsilon window dis1 dis2
+
+reg `y' `v' `a', r
+local r2_x = e(r2)
+x_ols2 gendist_coord1 gendist_coord2 cutoff1 cutoff2 `y' `v' `a' constant, coord(2) xreg(8)
+ereturn post beta cov_dep
+quiet eststo: ereturn display
+estadd scalar r2 = `r2_x'
+drop epsilon window dis1 dis2
+
+reg `y' `v' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain, r
+local r2_x = e(r2)
+x_ols2 gendist_coord1 gendist_coord2 cutoff1 cutoff2 `y' `v' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain constant, coord(2) xreg(14)
+ereturn post beta cov_dep
+quiet eststo: ereturn display
+estadd scalar r2 = `r2_x'
+drop epsilon window dis1 dis2
+
+reg `y' `v' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain ag_yst_aa ag_pdiv_aa, r
+local r2_x = e(r2)
+x_ols2 gendist_coord1 gendist_coord2 cutoff1 cutoff2 `y' `v' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain ag_yst_aa ag_pdiv_aa constant, coord(2) xreg(16)
+ereturn post beta cov_dep
+quiet eststo: ereturn display
+estadd scalar r2 = `r2_x'
+drop epsilon window dis1 dis2
+
+reg `y' `v' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain ag_yst_aa ag_pdiv_aa ft_CombinedPa irri_impact4_5, r
+local r2_x = e(r2)
+x_ols2 gendist_coord1 gendist_coord2 cutoff1 cutoff2 `y' `v' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain ag_yst_aa ag_pdiv_aa ft_CombinedPa irri_impact4_5 constant, coord(2) xreg(18)
+ereturn post beta cov_dep
+quiet eststo: ereturn display
+estadd scalar r2 = `r2_x'
+drop epsilon window dis1 dis2
+
+reg `y' `v' `a' ag_cont_*, r
+local r2_x = e(r2)
+x_ols2 gendist_coord1 gendist_coord2 cutoff1 cutoff2 `y' `v' `a' ag_cont_* constant, coord(2) xreg(12)
+ereturn post beta cov_dep
+quiet eststo: ereturn display
+estadd scalar r2 = `r2_x'
+drop epsilon window dis1 dis2
+
+reg `y' `v' `a' bar_christ bar_MUSLIM00 bar_HINDU00 bar_BUDDIS00, r
+local r2_x = e(r2)
+x_ols2 gendist_coord1 gendist_coord2 cutoff1 cutoff2 `y' `v' `a' bar_christ bar_MUSLIM00 bar_HINDU00 bar_BUDDIS00 constant, coord(2) xreg(12)
+ereturn post beta cov_dep
+quiet eststo: ereturn display
+estadd scalar r2 = `r2_x'
+drop epsilon window dis1 dis2
+
+reg `y' `v' `a' ag_peuro, r
+local r2_x = e(r2)
+x_ols2 gendist_coord1 gendist_coord2 cutoff1 cutoff2 `y' `v' `a' ag_peuro constant, coord(2) xreg(9)
+ereturn post beta cov_dep
+quiet eststo: ereturn display
+estadd scalar r2 = `r2_x'
+drop epsilon window dis1 dis2
+
+esttab using tables\TableB3_Church.rtf, replace star(* 0.10 ** 0.05 *** 0.01) r2 se cells(b(star fmt(2)) se(par fmt(2)))
+eststo clear
+restore	
+
+
+
+
+
+
+*_______________________________________________________________________________
+*	Table B4: Country-level Medieval Church exposure and kin networks 
+
+* Table B4, Panel 1 (cousin marriage preference), Panel 2 (cousin-term differentiation), Panel 3 (log % cousin marriage)
+local v ChurchExpWest ChurchExpEast
+local a nu_rugged ag_distcr du_caloricsui ag_abslat
+
+foreach y of var CousinMarriagePref CousinTermDiff bit_consang_ln { 
+
+preserve
+keep if `y'!=. & ChurchExpWest!=. & ChurchExpEast!=.
+reg `y' `v' , r
+local r2_x = e(r2)
+x_ols2 gendist_coord1 gendist_coord2 cutoff1 cutoff2 `y' `v' constant, coord(2) xreg(3)
+ereturn post beta cov_dep
+quiet eststo: ereturn display
+estadd scalar r2 = `r2_x'
+drop epsilon window dis1 dis2
+
+reg `y' `v' `a', r
+local r2_x = e(r2)
+x_ols2 gendist_coord1 gendist_coord2 cutoff1 cutoff2 `y' `v' `a' constant, coord(2) xreg(7)
+ereturn post beta cov_dep
+quiet eststo: ereturn display
+estadd scalar r2 = `r2_x'
+drop epsilon window dis1 dis2
+
+reg `y' `v' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain, r
+local r2_x = e(r2)
+x_ols2 gendist_coord1 gendist_coord2 cutoff1 cutoff2 `y' `v' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain constant, coord(2) xreg(13)
+ereturn post beta cov_dep
+quiet eststo: ereturn display
+estadd scalar r2 = `r2_x'
+drop epsilon window dis1 dis2
+
+reg `y' `v' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain ag_yst_aa ag_pdiv_aa, r
+local r2_x = e(r2)
+x_ols2 gendist_coord1 gendist_coord2 cutoff1 cutoff2 `y' `v' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain ag_yst_aa ag_pdiv_aa constant, coord(2) xreg(15)
+ereturn post beta cov_dep
+quiet eststo: ereturn display
+estadd scalar r2 = `r2_x'
+drop epsilon window dis1 dis2
+
+reg `y' `v' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain ag_yst_aa ag_pdiv_aa ft_CombinedPa irri_impact4_5, r
+local r2_x = e(r2)
+x_ols2 gendist_coord1 gendist_coord2 cutoff1 cutoff2 `y' `v' `a' nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain ag_yst_aa ag_pdiv_aa ft_CombinedPa irri_impact4_5 constant, coord(2) xreg(17)
+ereturn post beta cov_dep
+quiet eststo: ereturn display
+estadd scalar r2 = `r2_x'
+drop epsilon window dis1 dis2
+
+reg `y' `v' `a' ag_cont_*, r
+local r2_x = e(r2)
+x_ols2 gendist_coord1 gendist_coord2 cutoff1 cutoff2 `y' `v' `a' ag_cont_* nu_tropical ag_temp du_precavr  ag_elevavg du_oat_rain du_rye_rain ag_yst_aa ag_pdiv_aa ft_CombinedPa irri_impact4_5 constant, coord(2) xreg(21)
+ereturn post beta cov_dep
+quiet eststo: ereturn display
+estadd scalar r2 = `r2_x'
+drop epsilon window dis1 dis2
+
+reg `y' `v' `a' bar_christ bar_MUSLIM00 bar_HINDU00 bar_BUDDIS00, r
+local r2_x = e(r2)
+x_ols2 gendist_coord1 gendist_coord2 cutoff1 cutoff2 `y' `v' `a' bar_christ bar_MUSLIM00 bar_HINDU00 bar_BUDDIS00 constant, coord(2) xreg(11)
+ereturn post beta cov_dep
+quiet eststo: ereturn display
+estadd scalar r2 = `r2_x'
+drop epsilon window dis1 dis2
+
+esttab using tables\TableB4_`y'.rtf, replace star(* 0.10 ** 0.05 *** 0.01) r2 se cells(b(star fmt(2)) se(par fmt(2)))
+eststo clear
+restore	
+}
+
+
+
+
+

106/replication_package/01_Country_Table1/data/CountryData.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:21552efd99596f0d0846d3e023974db2afd828b0198f0d4f042595954baf8f38
+size 51804

106/replication_package/01_Country_Table1/data/CountryData.dta

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:de32b38be9722fdfed29003ef748cb21a5ae670e4be60ed167b93dc632e8ff58
+size 200363

106/replication_package/01_Country_Table1/x_ols2.ado

@@ -0,0 +1,189 @@
+/************************************************************************/
+/* x_ols.ado										*/
+/*OLS ESTIMATION FOR X-SECTIONAL DATA WITH LOCATION-BASED DEPENDENCE	*/
+/*for STATA 6.0										*/
+/*				by	Jean-Pierre Dube					*/
+/*					Northwestern University				*/
+/*					July 10, 1999					*/
+/*												*/
+/*			reference:								*/
+/*												*/
+/*	Conley, Timothy G.[1996].  "Econometric Modelling of Cross		*/
+/*	Sectional Dependence." Northwestern University Working Paper.	*/
+/*												*/
+/************************************************************************/
+/************************************************************************/
+/*To invoke this command type:							*/
+/*   >>x_ols coordlist cutofflist depvar regressorlist, xreg() coord()	*/
+/*												*/
+/*	(1)If you want a constant in the regression, specify one of the	*/
+/*	input variables as a 1. (ie. include it in list of regressors).	*/
+/*												*/
+/*	(2) You MUST specify the xreg() and coord() options.			*/
+/*												*/
+/*	(3)	xreg() denotes # regressors						*/
+/*		coord()	denotes dimension of coordinates			*/
+/*												*/
+/*	(4) Your cutofflist must correspond to coordlist (same order)	*/
+/*												*/
+/*												*/
+/*OUTPUT: all the standard `reg' procedure matrices will be in memory.	*/
+/*	There will also be a matrix cov_dep, the corrected variance-	*/
+/*	covariance matrix.								*/
+/************************************************************************/
+
+
+program define x_ols2
+	version 6.0
+#delimit ;				/*sets `;' as end of line*/
+
+/*FIRST I TAKE INFO. FROM COMMAND LINE AND ORGANIZE IT*/
+local varlist	"req ex min(1)";	/*must specify at least one variable...
+					   all must be existing in memory*/
+local options	"xreg(int -1) COord(int -1)";
+		/* # indep. var, dimension of location coordinates*/
+
+parse "`*'";				/*separate options and variables*/
+
+if `xreg'<1{;
+	if `xreg'==-1{;
+		di in red "option xreg() required!!!";
+		exit 198};
+	di in red "xreg(`xreg') is invalid";
+	exit 198};	
+
+if `coord'<1{;
+	if `coord'==-1{;
+		di in red "option coord() required!!!";
+		exit 198};
+	di in red "coord(`coord') is invalid";
+	exit 198};	
+
+
+/*Separate input variables:
+	coordinates, cutoffs, dependent, regressors*/
+
+parse "`varlist'", parse(" ");	
+
+local a=1;
+while `a'<=`coord'{;
+	tempvar coord`a';
+	gen `coord`a''=``a'';	/*get coordinates*/
+local a=`a'+1};
+
+local aa=1;
+while `aa'<=`coord'{;
+	tempvar cut`aa';
+	gen `cut`aa''=``a'';	/*get cutoffs*/
+	local a=`a'+1;
+local aa=`aa'+1};
+
+tempvar Y;
+gen `Y'=``a'';			/*get dep variable*/
+local depend : word `a' of `varlist';
+
+local a=`a'+1;
+
+local b=1;
+while `b'<=`xreg'{;
+	tempvar X`b';
+	local ind`b' : word `a' of `varlist';
+	gen `X`b''= ``a'';
+	local a=`a'+1;
+local b=`b'+1};			/*get indep var(s)...rest of list*/
+
+/*NOW I RUN THE REGRESSION AND COMPUTE THE COV MATRIX*/
+
+	quietly{;			/*so that steps are not printed on screen*/
+
+	/*(1) RUN REGRESSION*/
+	tempname XX XX_N invXX invN;
+	scalar `invN'=1/_N;
+	if `xreg'==1 {;
+		reg `Y' `X1', noconstant robust;
+		mat accum `XX'=`X1',noconstant;
+		mat `XX_N'=`XX'*`invN';
+		mat `invXX'=inv(`XX_N')};	/* creates (X'X/N)^(-1)*/
+	else{;
+		reg `Y' `X1'-`X`xreg'', noconstant;
+		mat accum `XX'=`X1'-`X`xreg'',noconstant;
+		mat `XX_N'=`XX'*`invN';
+		mat `invXX'=inv(`XX_N')};	/* creates (X'X/N)^(-1)*/
+	predict epsilon,residuals;	/* OLS residuals*/
+	
+
+
+	/*(2) COMPUTE CORRECTED COVARIANCE MATRIX*/
+	tempname XUUX XUUX1 XUUX2 XUUXt;
+	tempvar XUUk;
+	mat `XUUX'=J(`xreg',`xreg',0);
+	gen `XUUk'=0;
+	gen window=1;			/*initializes mat.s/var.s to be used*/
+	local i=1;
+	while `i'<=_N{;			/*loop through all observations*/
+		local d=1;
+		replace window=1;
+		while `d'<=`coord'{;	/*loop through coordinates*/
+			if `i'==1{;
+				gen dis`d'=0};
+			replace dis`d'=abs(`coord`d''-`coord`d''[`i']);
+			replace window=window*(1-dis`d'/`cut`d'');
+			replace window=0 if dis`d'>=`cut`d'';
+		local d=`d'+1};				/*create window*/
+		capture mat drop `XUUX2';
+		local k=1;
+		while `k'<=`xreg'{;
+			replace `XUUk'=`X`k''[`i']*epsilon*epsilon[`i']*window;
+			mat vecaccum `XUUX1'=`XUUk' `X1'-`X`xreg'', noconstant;
+			mat `XUUX2'=nullmat(`XUUX2') \ `XUUX1';
+		local k=`k'+1};
+		mat `XUUXt'=`XUUX2'';
+		mat `XUUX1'=`XUUX2'+`XUUXt';
+		scalar fix=.5;		/*to correct for double-counting*/
+		mat `XUUX1'=`XUUX1'*fix;
+		mat `XUUX'=`XUUX'+`XUUX1';
+	local i=`i'+1};
+	mat `XUUX'=`XUUX'*`invN';
+
+
+
+tempname V VV;
+mat `V'=`invXX'*`XUUX';
+mat `VV'=`V'*`invXX';
+
+matrix cov_dep=`VV'*`invN';		/*corrected covariance matrix*/
+matrix beta = e(b);
+
+};					/*end quietly command*/
+
+
+/*THIS PART CREATES AND PRINTS THE OUTPUT TABLE IN STATA*/
+local z=1;
+local v=`a';
+di _newline(2) _skip(5)
+"Results for Cross Sectional OLS corrected for Spatial Dependence";
+di _newline	_col(35)	" number of observations=  "  _result(1);
+di " Dependent Variable= " "`depend'";
+di _newline
+"variable" _col(25) "ols estimates" _col(40) "White s.e." _col(55) 
+	"Conley s.e." _col(70) "Conley p-value";
+di 
+"--------" _col(25) "-------------" _col(40) "----------" _col(55) 
+	"-------------------------------------";
+
+while `z'<=`xreg'{;
+	tempvar se1`z' se2`z' pv`z';
+	local beta`z'=_b[`X`z''];
+	local se`z'=_se[`X`z''];
+	local df = e(df_r);
+	gen `se1`z''=cov_dep[`z',`z'];
+	gen `se2`z''=sqrt(`se1`z'');
+	gen `pv`z'' = (2 * ttail(`df', abs(`beta`z''/`se2`z'')));
+	di "`ind`z''" _col(25)  `beta`z''  _col(40)  `se`z'' _col(55) `se2`z'' _col(70) `pv`z'';
+local z=`z'+1};
+
+
+
+
+end;
+exit;

106/replication_package/02_Ethnicity_Table2/Ethnicity_Analysis_Table2.do

@@ -0,0 +1,76 @@
+* THIS DO-FILE IS FOR THE ETHNICITY-LEVEL ANALYSIS
+* IT CREATES OUTPUT FOR TABLE 2 AND APPENDIX TABLE B6
+
+use data\EthnographicAtlas.dta, clear
+
+*_________________________________________________________________________
+*	Table 2: Ethnicities’ Kinship and Local Democratic Traditions
+
+
+* Sets of covariates
+local a avg_rugged co_latitude distance_to_coast suit_agri 
+local a2 annual_mean_temp annual_mean_prec elevation slope
+local b co_fishing co_husbandry co_agriculture
+local c co_prop_land co_prop_mov
+local d co_settlementcomplex co_irrigation co_hierarchy
+
+preserve
+drop if avg_rugged==. | co_latitude==. | distance_to_coast==. | suit_agri==. 
+drop if co_fishing==. | co_husbandry==. | co_agriculture==.
+drop if co_prop_land==. | co_prop_mov==.
+drop if co_settlementcomplex==. | co_irrigation==. | co_hierarchy==.
+
+*Panel 1: Cousin narriage preferred
+local x CousinMarriage_Pref
+eststo: xi: reg co_succession `x'      , cluster(language_family)
+eststo: xi: reg co_succession `x' `a'  , cluster(language_family)
+eststo: xi: reg co_succession `x' `a' `a2' , cluster(language_family)
+psacalc delta `x', rmax(0.28) beta(0) 
+eststo: xi: reg co_succession `x' `a' `a2' `b' , cluster(language_family)
+eststo: xi: reg co_succession `x' `a' `a2' `b' `c' , cluster(language_family)
+eststo: xi: reg co_succession `x' `a' `a2' `b' `c' `d', cluster(language_family)
+psacalc delta `x', rmax(0.28) beta(0) 
+eststo: xi: reg co_succession `x' `a' `a2' `b' `c' `d' i.therm_clim, cluster(language_family)
+psacalc delta `x', rmax(0.28) beta(0) 
+eststo: xi: reg co_succession `x' `a' `a2' `b' `c' `d' i.therm_clim co_deepchrist, cluster(language_family)
+psacalc delta `x', rmax(0.28) beta(0) 
+esttab using tables\Table2_Panel1.rtf, replace star(* 0.10 ** 0.05 *** 0.01) r2 ar2 aic bic se cells(b(star fmt(2)) se(par fmt(2))) scalars(F)
+eststo clear
+
+
+*Panel 2: Cousin-term differentiation
+local x CousinTerm_Dif
+eststo: xi: reg co_succession `x'      , cluster(language_family)
+eststo: xi: reg co_succession `x' `a'  , cluster(language_family)
+eststo: xi: reg co_succession `x' `a' `a2' , cluster(language_family)
+psacalc delta `x', rmax(0.28) beta(0) 
+eststo: xi: reg co_succession `x' `a' `a2' `b' , cluster(language_family)
+eststo: xi: reg co_succession `x' `a' `a2' `b' `c' , cluster(language_family)
+eststo: xi: reg co_succession `x' `a' `a2' `b' `c' `d', cluster(language_family)
+psacalc delta `x', rmax(0.28) beta(0) 
+eststo: xi: reg co_succession `x' `a' `a2' `b' `c' `d' i.therm_clim, cluster(language_family)
+psacalc delta `x', rmax(0.28) beta(0) 
+eststo: xi: reg co_succession `x' `a' `a2' `b' `c' `d' i.therm_clim co_deepchrist, cluster(language_family)
+psacalc delta `x', rmax(0.28) beta(0) 
+esttab using tables\Table2_Panel2.rtf, replace star(* 0.10 ** 0.05 *** 0.01) r2 ar2 aic bic se cells(b(star fmt(2)) se(par fmt(2))) scalars(F)
+eststo clear
+restore
+
+
+*______________________________
+*	Table B6: Ethnicity-level Deep Christianization, Cousin Terms and Cousin marriage
+
+local x co_deepchrist
+foreach y of var CousinMarriage_Pref CousinTerm_Dif NonInuit_Term {
+
+eststo: reg `y' `x'      , cluster(language_family)
+eststo: reg `y' `x' `a'  , cluster(language_family)
+eststo: reg `y' `x' `a' `a2' , cluster(language_family)
+eststo: reg `y' `x' `a' `a2' `b' , cluster(language_family)
+eststo: reg `y' `x' `a' `a2' `b' `c' , cluster(language_family)
+eststo: reg `y' `x' `a' `a2' `b' `c' `d', cluster(language_family)
+eststo: xi: reg `y' `x' `a' `a2' `b' `c' `d' i.therm_clim, cluster(language_family)
+psacalc delta `x', rmax(0.48) beta(0)
+esttab using tables\TableB6_`y'.rtf, replace star(* 0.10 ** 0.05 *** 0.01) r2 ar2 aic bic se cells(b(star fmt(2)) se(par fmt(2))) scalars(F)
+eststo clear
+}

106/replication_package/02_Ethnicity_Table2/data/EthnographicAtlas.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9cf69db966b557515c64f4c4b8605e6c8ad17ba1914f65ee6dd96457c8abd35c
+size 175096

106/replication_package/02_Ethnicity_Table2/data/EthnographicAtlas.dta

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c64a066ca11315436135ba849463bb3094a0e1339aa90ba323c55ef42973973f
+size 259049

106/replication_package/03_HistoricalUrbanAnalysis_Table3_Table4/ChurchExposureAndCommune_Table3.do

@@ -0,0 +1,263 @@
+* THIS DO-FILE IS FOR THE HISTORICAL PANEL DATA ANALYSIS 
+* IT CREATES THE OUTPUT FOR TABLE 3 AND APPENDIX TABLES C1, C2, C3, C4, C5, C7, C8,
+
+
+use data\urbanflexible.dta, clear
+
+
+
+
+*________________________________________________
+*	Table 3: Western Church Exposure and Communes: Panel Data Estimates
+
+*Table 3, Panel 1
+preserve
+keep if sample10K==1
+local v bo_commune exposure
+eststo: xi: areg `v' bo_plundered i.year, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered i.year bo_seariver_*, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered i.year caloric_suit_100_*, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered i.year bo_roman_*, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered i.year Europe_*, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered BandAB i.year bo_ever_bishop_*, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered bo_citypop_le10_ bo_citypop_le10_lag i.year, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered i.year bo_seariver_* caloric_suit_100_* bo_roman_* Europe_* BandAB bo_ever_bishop_* bo_citypop_le10_ bo_citypop_le10_lag, absorb(cellID) cluster(cellID)
+esttab using tables\Table3_Panel_1.rtf, replace star(* 0.10 ** 0.05 *** 0.01) se cells(b(star fmt(3)) se(par fmt(3))) scalars(r2)
+eststo clear
+restore
+
+* Table 3, Panel 2 (Extended ban)
+preserve
+keep if sample10K==1
+local v bo_commune exposure exposure_eb
+eststo: xi: areg `v' bo_plundered i.year, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered i.year bo_seariver_*, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered i.year caloric_suit_100_*, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered i.year bo_roman_*, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered i.year Europe_*, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered BandAB i.year bo_ever_bishop_*, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered bo_citypop_le10_ bo_citypop_le10_lag i.year, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered i.year bo_seariver_* caloric_suit_100_* bo_roman_* Europe_* BandAB bo_ever_bishop_* bo_citypop_le10_ bo_citypop_le10_lag, absorb(cellID) cluster(cellID)
+esttab using tables\Table3_Panel_2.rtf, replace star(* 0.10 ** 0.05 *** 0.01) se cells(b(star fmt(3)) se(par fmt(3))) scalars(r2)
+eststo clear
+restore
+
+*_______________________________________________
+*	Table C1: Descriptive statistic of panel data set on Church exposure and Communes
+preserve
+keep if sample10K==1
+gen treat = 0 if exposure==0
+replace treat = 1 if exposure>0 & exposure!=.
+table year, c(sum bo_citypop_le10_)
+table year treat, c(sum bo_citypop_le10_)
+*calcuate fraction 
+bys year: egen urban_pop = sum(bo_citypop_le10_)
+replace  urban_pop= urban_pop/1000
+bys year: egen urban_pop_christ = sum(bo_citypop_le10_) if exposure>0 & exposure!=.
+replace  urban_pop_christ= urban_pop_christ/1000
+bys year: egen communes_no = sum(bo_commune)
+bys year: egen mean_exp = mean(exposure)
+*bys year: egen mean_exp_Christ = mean(exposure) if exposure>0
+gen urban_pop_frac_christ = urban_pop_christ/urban_pop
+gen city_ex = 1 if bo_citypop_le10_>0 //city exists
+bys year: egen city_no = sum(city_ex) //number of existing cities
+bys year: egen city_no_Christ = sum(city_ex) if exposure>0 & exposure!=.
+gen commune_frac = communes_no/city_no //percentage of communes among existing cities
+*gen commune_frac_Christ = communes_no/city_no_Christ
+collapse city_n* communes_no commune_frac  urban_pop*  mean_ex*, by(year)
+order year
+gen frac_christian_cities = city_no_Christ/city_no
+order year city_no city_no_Christ frac_christian_cities urban_pop urban_pop_christ urban_pop_frac_christ communes_no commune_frac mean_exp
+outsheet using tables\TableC1_descriptives.xls, replace
+restore
+
+
+*_________________________________________________________________________________
+* Table C2: Western Church Exposure and Communes: 
+*			Panel Data Estimates with spatial Conley standard errors
+*Panel 1
+preserve
+keep if sample10K==1
+forvalues i=500(2000)2500 {
+local dist `i'
+eststo: acreg bo_commune exposure bo_plundered, id(cellID) time(year) spatial bartlett latitude(latitude) longitude(longitude) pfe1(cellID) pfe2(year) dist(`i')
+eststo: acreg bo_commune exposure bo_plundered bo_seariver_*, id(cellID) time(year) spatial bartlett latitude(latitude) longitude(longitude) pfe1(cellID) pfe2(year) dist(`i')
+eststo: acreg bo_commune exposure bo_plundered caloric_suit_100_*, id(cellID) time(year) spatial bartlett latitude(latitude) longitude(longitude) pfe1(cellID) pfe2(year) dist(`i')
+eststo: acreg bo_commune exposure bo_plundered bo_roman_*, id(cellID) time(year) spatial bartlett latitude(latitude) longitude(longitude) pfe1(cellID) pfe2(year) dist(`i')
+eststo: acreg bo_commune exposure bo_plundered Europe_*, id(cellID) time(year) spatial bartlett latitude(latitude) longitude(longitude) pfe1(cellID) pfe2(year) dist(`i')
+eststo: acreg bo_commune exposure bo_plundered BandAB bo_ever_bishop_* , id(cellID) time(year) spatial bartlett latitude(latitude) longitude(longitude) pfe1(cellID) pfe2(year) dist(`i')
+eststo: acreg bo_commune exposure bo_plundered bo_citypop_le10_ bo_citypop_le10_lag, id(cellID) time(year) spatial bartlett latitude(latitude) longitude(longitude) pfe1(cellID) pfe2(year) dist(`i')
+eststo: acreg bo_commune exposure bo_plundered bo_seariver_* caloric_suit_100_* bo_roman_* Europe_* BandAB bo_ever_bishop_* bo_citypop_le10_ bo_citypop_le10_lag, id(cellID) time(year) spatial bartlett latitude(latitude) longitude(longitude) pfe1(cellID) pfe2(year) dist(`i')
+esttab using tables\TableC2_Panel_1_Conley_`i'.rtf, replace star(* 0.10 ** 0.05 *** 0.01) se cells(b(star fmt(3)) se(par fmt(3))) scalars(r2)
+eststo clear
+}
+restore
+
+*Panel 2
+preserve
+keep if sample10K==1
+forvalues i=500(2000)2500 {
+local dist `i'
+eststo: acreg bo_commune exposure exposure_eb bo_plundered, id(cellID) time(year) spatial bartlett latitude(latitude) longitude(longitude) pfe1(cellID) pfe2(year) dist(`i')
+eststo: acreg bo_commune exposure exposure_eb bo_plundered bo_seariver_*, id(cellID) time(year) spatial bartlett latitude(latitude) longitude(longitude) pfe1(cellID) pfe2(year) dist(`i')
+eststo: acreg bo_commune exposure exposure_eb bo_plundered caloric_suit_100_*, id(cellID) time(year) spatial bartlett latitude(latitude) longitude(longitude) pfe1(cellID) pfe2(year) dist(`i')
+eststo: acreg bo_commune exposure exposure_eb bo_plundered bo_roman_*, id(cellID) time(year) spatial bartlett latitude(latitude) longitude(longitude) pfe1(cellID) pfe2(year) dist(`i')
+eststo: acreg bo_commune exposure exposure_eb bo_plundered Europe_*, id(cellID) time(year) spatial bartlett latitude(latitude) longitude(longitude) pfe1(cellID) pfe2(year) dist(`i')
+eststo: acreg bo_commune exposure exposure_eb bo_plundered BandAB bo_ever_bishop_* , id(cellID) time(year) spatial bartlett latitude(latitude) longitude(longitude) pfe1(cellID) pfe2(year) dist(`i')
+eststo: acreg bo_commune exposure exposure_eb bo_plundered bo_citypop_le10_ bo_citypop_le10_lag, id(cellID) time(year) spatial bartlett latitude(latitude) longitude(longitude) pfe1(cellID) pfe2(year) dist(`i')
+eststo: acreg bo_commune exposure exposure_eb bo_plundered bo_seariver_* caloric_suit_100_* bo_roman_* Europe_* BandAB bo_ever_bishop_* bo_citypop_le10_ bo_citypop_le10_lag, id(cellID) time(year) spatial bartlett latitude(latitude) longitude(longitude) pfe1(cellID) pfe2(year) dist(`i')
+esttab using tables\TableC2_Panel_2_Conley_`i'.rtf, replace star(* 0.10 ** 0.05 *** 0.01) se cells(b(star fmt(3)) se(par fmt(3))) scalars(r2)
+eststo clear
+}
+restore
+
+
+*_______________________________________________________________________________
+*	Table C3: Church exposure & communes: Iberian Peninsula, Carolingian Emp. & Roman Britain
+
+* Panel 1: Hispanic Penninsula
+preserve
+keep if sample10K==1
+local v bo_commune exposure_s exposure_ns
+eststo: xi: areg `v' bo_plundered i.year, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered i.year bo_seariver_*, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered i.year caloric_suit_100_*, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered i.year bo_roman_*, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered i.year Europe_*, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered BandAB i.year bo_ever_bishop_*, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered bo_citypop_le10_ bo_citypop_le10_lag i.year, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered i.year bo_seariver_* caloric_suit_100_* bo_roman_* Europe_* BandAB bo_ever_bishop_* bo_citypop_le10_ bo_citypop_le10_lag, absorb(cellID) cluster(cellID)
+esttab using tables\TableC3_Panel_1_Iberia.rtf, replace star(* 0.10 ** 0.05 *** 0.01) se cells(b(star fmt(3)) se(par fmt(3))) scalars(r2)
+eststo clear
+restore
+
+* Panel 2: Carolingian Empire
+preserve
+keep if sample10K==1
+local v bo_commune exposure_c exposure_nc
+eststo: xi: areg `v' bo_plundered i.year, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered i.year bo_seariver_*, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered i.year caloric_suit_100_*, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered i.year bo_roman_*, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered i.year Europe_*, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered BandAB i.year bo_ever_bishop_*, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered bo_citypop_le10_ bo_citypop_le10_lag i.year, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered i.year bo_seariver_* caloric_suit_100_* bo_roman_* Europe_* BandAB bo_ever_bishop_* bo_citypop_le10_ bo_citypop_le10_lag, absorb(cellID) cluster(cellID)
+esttab using tables\TableC3_Panel_2_Carolingian.rtf, replace star(* 0.10 ** 0.05 *** 0.01) se cells(b(star fmt(3)) se(par fmt(3))) scalars(r2)
+eststo clear
+restore
+
+* Panel 3: Roman Britain
+preserve
+keep if sample10K==1
+local v bo_commune exposure_rb exposure_nrb
+eststo: xi: areg `v' bo_plundered i.year, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered i.year bo_seariver_*, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered i.year caloric_suit_100_*, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered i.year bo_roman_*, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered i.year Europe_*, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered BandAB i.year bo_ever_bishop_*, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered bo_citypop_le10_ bo_citypop_le10_lag i.year, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered i.year bo_seariver_* caloric_suit_100_* bo_roman_* Europe_* BandAB bo_ever_bishop_* bo_citypop_le10_ bo_citypop_le10_lag, absorb(cellID) cluster(cellID)
+esttab using tables\TableC3_Panel_3_RomainBrittain.rtf, replace star(* 0.10 ** 0.05 *** 0.01) se cells(b(star fmt(3)) se(par fmt(3))) scalars(r2)
+eststo clear
+restore
+
+
+*________________________________________________________________________________________
+* Table C4: Western Church Exposure and Inclusive City Institutions in the HRE*Panel 1
+preserve
+keep if sampleHRE==1
+local v fw_InclusiveInst exposure
+xi: areg `v' i.year, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered i.year, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered i.year bo_seariver_*, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered i.year caloric_suit_100_*, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered i.year bo_roman_*, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered i.year*caro, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered BandAB i.year bo_ever_bishop_*, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered bo_citypop_le5_ bo_citypop_le5_lag i.year, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered i.year bo_seariver_* caloric_suit_100_* bo_roman_* BandAB bo_ever_bishop_* bo_citypop_le5_ bo_citypop_le5_lag, absorb(cellID) cluster(cellID)
+esttab using tables\TableC4_Panel_1.rtf, replace star(* 0.10 ** 0.05 *** 0.01) se cells(b(star fmt(3)) se(par fmt(3))) scalars(r2)
+eststo clear
+restore
+
+*Panel 2
+preserve
+keep if sampleHRE==1
+local v fw_InclusiveInst exposure
+keep if northgerm==1
+eststo: xi: areg `v' bo_plundered i.year, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered i.year bo_seariver_*, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered i.year caloric_suit_100_*, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered i.year bo_roman_*, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered i.year*caro, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered BandAB i.year bo_ever_bishop_*, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered bo_citypop_le5_ bo_citypop_le5_lag i.year, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered i.year bo_seariver_* caloric_suit_100_* bo_roman_* BandAB bo_ever_bishop_* bo_citypop_le5_ bo_citypop_le5_lag, absorb(cellID) cluster(cellID)
+esttab using tables\TableC4_Panel_2.rtf, replace star(* 0.10 ** 0.05 *** 0.01) se cells(b(star fmt(3)) se(par fmt(3))) scalars(r2)
+eststo clear
+restore
+
+
+*_______________________________________________________________________________
+* Table C5: Western Church Exposure and City population: Panel Data Estimates 
+preserve
+keep if sample10K==1
+local v bo_citypop_le10_ exposure
+eststo: xi: areg `v' bo_plundered i.year, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered i.year bo_seariver_*, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered i.year caloric_suit_100_*, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered i.year bo_roman_*, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered i.year Europe_*, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered BandAB i.year bo_ever_bishop_*, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered bo_commune bo_commune_lag1 i.year, absorb(cellID) cluster(cellID)
+eststo: xi: areg `v' bo_plundered i.year bo_seariver_* caloric_suit_100_* bo_roman_* Europe_* BandAB bo_ever_bishop_* bo_commune bo_commune_lag1, absorb(cellID) cluster(cellID)
+esttab using tables\TableC5_population.rtf, replace star(* 0.10 ** 0.05 *** 0.01) se cells(b(star fmt(3)) se(par fmt(3))) scalars(r2)
+eststo clear
+restore
+
+
+
+*_______________________________________________________________________________
+*	Table C7: Western Church Exposure and Commune Cities: Event study - Specification (3)
+
+preserve
+keep if sample10K==1
+eststo: xi: areg bo_commune bo_plundered aw_m3_ aw_m2_ aw_m1_ aw_0_ aw_1_  aw_2_ aw_3_ aw_4_ aw_5_ aw_6_ aw_7_ aw_8_ aw_9_ i.year, absorb(cellID) cluster(cellID)
+test aw_m3_ = aw_m2_ = aw_m1_ = 0
+eststo: xi: areg bo_commune bo_plundered aw_m3_ aw_m2_ aw_m1_ aw_0_ aw_1_  aw_2_ aw_3_ aw_4_ aw_5_ aw_6_ aw_7_ aw_8_ aw_9_ i.year bo_seariver_*, absorb(cellID) cluster(cellID)
+test aw_m1_ = aw_0_
+eststo: xi: areg bo_commune bo_plundered aw_m3_ aw_m2_ aw_m1_ aw_0_ aw_1_  aw_2_ aw_3_ aw_4_ aw_5_ aw_6_ aw_7_ aw_8_ aw_9_ i.year caloric_suit_100_*, absorb(cellID) cluster(cellID)
+test aw_m1_ = aw_0_
+eststo: xi: areg bo_commune bo_plundered aw_m3_ aw_m2_ aw_m1_ aw_0_ aw_1_  aw_2_ aw_3_ aw_4_ aw_5_ aw_6_ aw_7_ aw_8_ aw_9_ i.year bo_roman_*, absorb(cellID) cluster(cellID)
+test aw_m1_ = aw_0_
+eststo: xi: areg bo_commune bo_plundered aw_m3_ aw_m2_ aw_m1_ aw_0_ aw_1_  aw_2_ aw_3_ aw_4_ aw_5_ aw_6_ aw_7_ aw_8_ aw_9_ i.year Europe_*, absorb(cellID) cluster(cellID)
+test aw_m1_ = aw_0_
+eststo: xi: areg bo_commune bo_plundered aw_m3_ aw_m2_ aw_m1_ aw_0_ aw_1_  aw_2_ aw_3_ aw_4_ aw_5_ aw_6_ aw_7_ aw_8_ aw_9_ i.year bo_ever_bishop_* BandAB, absorb(cellID) cluster(cellID)
+test aw_m1_ = aw_0_
+eststo: xi: areg bo_commune bo_plundered aw_m3_ aw_m2_ aw_m1_ aw_0_ aw_1_  aw_2_ aw_3_ aw_4_ aw_5_ aw_6_ aw_7_ aw_8_ aw_9_ i.year bo_citypop_le10_ bo_citypop_le10_lag, absorb(cellID) cluster(cellID)
+test aw_m1_ = aw_0_
+eststo: xi: areg bo_commune bo_plundered aw_m3_ aw_m2_ aw_m1_ aw_0_ aw_1_  aw_2_ aw_3_ aw_4_ aw_5_ aw_6_ aw_7_ aw_8_ aw_9_ i.year bo_seariver_* caloric_suit_100_* bo_roman_* Europe_* bo_ever_bishop_* BandAB bo_citypop_le10_ bo_citypop_le10_lag, absorb(cellID) cluster(cellID)
+test aw_m1_ = aw_0_
+esttab using tables\TableC7_EventStudy.rtf, replace star(* 0.10 ** 0.05 *** 0.01) se cells(b(star fmt(3)) se(par fmt(3))) scalars(r2)
+eststo clear
+restore
+
+*_______________________________________________________________________________
+*	Table C8: Western Church Exposure and Commune Cities: Event study Specification (4)
+preserve
+keep if sample10K==1
+eststo: xi: areg bo_commune bo_plundered aw_m3_ aw_m2_ aw_m1_ aw_0_ aw_1_ aw_2_ aw_3_ aw_4_ aw_5_ aw_6_ aw_7_ aw_8_ aw_9_ aw_m_eb3_ aw_m_eb2_ aw_m_eb1_ aw_eb0_ aw_eb1_ aw_eb2_  aw_eb3_  aw_eb4_  aw_eb5_  aw_eb6_ aw_eb7_  aw_eb8_  aw_eb9_  i.year, absorb(cellID) cluster(cellID)
+test aw_m3_ = aw_m2_ = aw_m1_ = 0
+test aw_m_eb3_ = aw_m_eb2_ = aw_m_eb1_ = 0
+eststo: xi: areg bo_commune bo_plundered aw_m3_ aw_m2_ aw_m1_ aw_0_ aw_1_ aw_2_ aw_3_ aw_4_ aw_5_ aw_6_ aw_7_ aw_8_ aw_9_ aw_m_eb3_ aw_m_eb2_ aw_m_eb1_ aw_eb0_ aw_eb1_ aw_eb2_  aw_eb3_  aw_eb4_  aw_eb5_  aw_eb6_ aw_eb7_  aw_eb8_  aw_eb9_  i.year bo_seariver_*, absorb(cellID) cluster(cellID)
+eststo: xi: areg bo_commune bo_plundered aw_m3_ aw_m2_ aw_m1_ aw_0_ aw_1_ aw_2_ aw_3_ aw_4_ aw_5_ aw_6_ aw_7_ aw_8_ aw_9_ aw_m_eb3_ aw_m_eb2_ aw_m_eb1_ aw_eb0_ aw_eb1_ aw_eb2_  aw_eb3_  aw_eb4_  aw_eb5_  aw_eb6_ aw_eb7_  aw_eb8_  aw_eb9_  i.year caloric_suit_100_*, absorb(cellID) cluster(cellID)
+eststo: xi: areg bo_commune bo_plundered aw_m3_ aw_m2_ aw_m1_ aw_0_ aw_1_ aw_2_ aw_3_ aw_4_ aw_5_ aw_6_ aw_7_ aw_8_ aw_9_ aw_m_eb3_ aw_m_eb2_ aw_m_eb1_ aw_eb0_ aw_eb1_ aw_eb2_  aw_eb3_  aw_eb4_  aw_eb5_  aw_eb6_ aw_eb7_  aw_eb8_  aw_eb9_  i.year bo_roman_*, absorb(cellID) cluster(cellID)
+eststo: xi: areg bo_commune bo_plundered aw_m3_ aw_m2_ aw_m1_ aw_0_ aw_1_ aw_2_ aw_3_ aw_4_ aw_5_ aw_6_ aw_7_ aw_8_ aw_9_ aw_m_eb3_ aw_m_eb2_ aw_m_eb1_ aw_eb0_ aw_eb1_ aw_eb2_  aw_eb3_  aw_eb4_  aw_eb5_  aw_eb6_ aw_eb7_  aw_eb8_  aw_eb9_  i.year Europe_*, absorb(cellID) cluster(cellID)
+eststo: xi: areg bo_commune bo_plundered aw_m3_ aw_m2_ aw_m1_ aw_0_ aw_1_ aw_2_ aw_3_ aw_4_ aw_5_ aw_6_ aw_7_ aw_8_ aw_9_ aw_m_eb3_ aw_m_eb2_ aw_m_eb1_ aw_eb0_ aw_eb1_ aw_eb2_  aw_eb3_  aw_eb4_  aw_eb5_  aw_eb6_ aw_eb7_  aw_eb8_  aw_eb9_  i.year bo_ever_bishop_* BandAB, absorb(cellID) cluster(cellID)
+eststo: xi: areg bo_commune bo_plundered aw_m3_ aw_m2_ aw_m1_ aw_0_ aw_1_ aw_2_ aw_3_ aw_4_ aw_5_ aw_6_ aw_7_ aw_8_ aw_9_ aw_m_eb3_ aw_m_eb2_ aw_m_eb1_ aw_eb0_ aw_eb1_ aw_eb2_  aw_eb3_  aw_eb4_  aw_eb5_  aw_eb6_ aw_eb7_  aw_eb8_  aw_eb9_  i.year bo_citypop_le10_ bo_citypop_le10_lag, absorb(cellID) cluster(cellID)
+eststo: xi: areg bo_commune bo_plundered aw_m3_ aw_m2_ aw_m1_ aw_0_ aw_1_ aw_2_ aw_3_ aw_4_ aw_5_ aw_6_ aw_7_ aw_8_ aw_9_ aw_m_eb3_ aw_m_eb2_ aw_m_eb1_ aw_eb0_ aw_eb1_ aw_eb2_  aw_eb3_  aw_eb4_  aw_eb5_  aw_eb6_ aw_eb7_  aw_eb8_  aw_eb9_  i.year bo_seariver_* caloric_suit_100_* bo_roman_* Europe_* bo_ever_bishop_* BandAB bo_citypop_le10_ bo_citypop_le10_lag, absorb(cellID) cluster(cellID)
+esttab using tables\TableC8_EventStudy.rtf, replace star(* 0.10 ** 0.05 *** 0.01) se cells(b(star fmt(3)) se(par fmt(3))) scalars(r2)
+eststo clear
+restore

106/replication_package/03_HistoricalUrbanAnalysis_Table3_Table4/IncestLegislationExposureAndCommune_Table4.do

@@ -0,0 +1,96 @@
+*THIS DO-FILE IS FOR THE INCESTLEGISLATION EXPOSURE ANALYSIS
+*IT CREATES OUTPUT FOR TABLE 4 AND APPENDIX TABLES C9 AND C10
+
+use data\IncestLegislation.dta, clear
+
+
+*____________________
+* Table4: Incest Legislation Exposure and Communes in the Carolingian Empire
+* Panel 1
+preserve 
+local y bo_commune1200
+local x IncestLegislation_exp Church_exp_1200 italy
+eststo: xi: reg `y' `x', r
+eststo: xi: reg `y' `x' bo_sea1200, r
+eststo: xi: reg `y' `x' caloric_suit_100, r
+eststo: xi: reg `y' `x' bo_rom_road_n, r
+eststo: xi: reg `y' `x' bo_bisharch1200, r
+eststo: xi: reg `y' `x' bo_rom_road_n caloric_suit_100  bo_sea1200 bo_bisharch1200, r
+eststo: xi: reg `y' `x' bo_citypop_le10_1200, r
+eststo: xi: reg `y' `x' bo_citypop_le10_1200 bo_rom_road_n caloric_suit_100  bo_sea1200 bo_bisharch1200, r
+esttab using tables/Table4_Panel_1.rtf, replace star(* 0.10 ** 0.05 *** 0.01) se cells(b(star fmt(2)) se(par fmt(2))) scalars(r2)
+eststo clear
+
+* Panel 2
+local y bo_commune1200
+local x IncestLegislation_exp Church_exp_1200 Synod_exp italy
+eststo: xi: reg `y' `x' , r
+eststo: xi: reg `y' `x' bo_sea1200, r
+eststo: xi: reg `y' `x' caloric_suit_100, r
+eststo: xi: reg `y' `x' bo_rom_road_n, r
+eststo: xi: reg `y' `x' bo_bisharch1200, r
+eststo: xi: reg `y' `x' bo_rom_road_n caloric_suit_100  bo_sea1200 bo_bisharch1200, r
+eststo: xi: reg `y' `x' bo_citypop_le10_1200, r
+eststo: xi: reg `y' `x' bo_citypop_le10_1200 bo_rom_road_n caloric_suit_100  bo_sea1200 bo_bisharch1200, r
+esttab using tables\Table4_Panel_2.rtf, replace star(* 0.10 ** 0.05 *** 0.01) se cells(b(star fmt(2)) se(par fmt(2))) scalars(r2)
+eststo clear
+
+
+*____________________
+* Table C9: Incest Legislation Exposure and Communes in the Carolingian Empire 
+*			with spatial Conley standard errors
+
+* Panel 1
+local dist 500
+local x IncestLegislation_exp Church_exp_1200 italy
+eststo: acreg `y' `x', spatial latitude(latitude) longitude(longitude) dist(`dist') bartlett
+eststo: acreg `y' `x' bo_sea1200, spatial latitude(latitude) longitude(longitude) dist(`dist') bartlett
+eststo: acreg `y' `x' caloric_suit_100, spatial latitude(latitude) longitude(longitude) dist(`dist') bartlett
+eststo: acreg `y' `x' bo_rom_road_n, spatial latitude(latitude) longitude(longitude) dist(`dist') bartlett
+eststo: acreg `y' `x' bo_bisharch1200, spatial latitude(latitude) longitude(longitude) dist(`dist') bartlett
+eststo: acreg `y' `x' bo_rom_road_n caloric_suit_100  bo_sea1200 bo_bisharch1200, spatial latitude(latitude) longitude(longitude) dist(`dist') bartlett
+eststo: acreg `y' `x' bo_citypop_le10_1200, spatial latitude(latitude) longitude(longitude) dist(`dist') bartlett
+eststo: acreg `y' `x' bo_citypop_le10_1200 bo_rom_road_n caloric_suit_100  bo_sea1200 bo_bisharch1200, spatial latitude(latitude) longitude(longitude) dist(`dist') bartlett
+esttab using tables\TableC9_Panel_1_Conley.rtf, replace star(* 0.10 ** 0.05 *** 0.01) se cells(b(star fmt(2)) se(par fmt(2))) scalars(r2)
+eststo clear
+
+local x IncestLegislation_exp Synod_exp Church_exp_1200 italy
+eststo: acreg `y' `x', spatial latitude(latitude) longitude(longitude) dist(`dist') bartlett
+eststo: acreg `y' `x' bo_sea1200, spatial latitude(latitude) longitude(longitude) dist(`dist') bartlett
+eststo: acreg `y' `x' caloric_suit_100, spatial latitude(latitude) longitude(longitude) dist(`dist') bartlett
+eststo: acreg `y' `x' bo_rom_road_n, spatial latitude(latitude) longitude(longitude) dist(`dist') bartlett
+eststo: acreg `y' `x' bo_bisharch1200, spatial latitude(latitude) longitude(longitude) dist(`dist') bartlett
+eststo: acreg `y' `x' bo_rom_road_n caloric_suit_100  bo_sea1200 bo_bisharch1200, spatial latitude(latitude) longitude(longitude) dist(`dist') bartlett
+eststo: acreg `y' `x' bo_citypop_le10_1200, spatial latitude(latitude) longitude(longitude) dist(`dist') bartlett
+eststo: acreg `y' `x' bo_citypop_le10_1200 bo_rom_road_n caloric_suit_100  bo_sea1200 bo_bisharch1200, spatial latitude(latitude) longitude(longitude) dist(`dist') bartlett
+esttab using tables\TableC9_Panel_2_Conley.rtf, replace star(* 0.10 ** 0.05 *** 0.01) se cells(b(star fmt(2)) se(par fmt(2))) scalars(r2)
+eststo clear
+restore
+
+
+*_______________________________________________________________________________
+*	Table C10:  Incest Legislation Exposure and City Population within the Carolingian Empire
+
+* in year 800 AD
+preserve 
+drop if bo_citypop_le10_800==.
+drop if bo_citypop_le10_1200==0
+
+local y bo_citypop_le10_800
+local x IncestLegislation_exp Church_exp_800 Synod_exp italy
+eststo: reg `y' `x', r 
+eststo: reg `y' `x' bo_sea800, r
+eststo: reg `y' `x' caloric_suit_100, r
+eststo: reg `y' `x' bo_rom_road_n, r
+eststo: reg `y' `x' bo_bisharch800, r
+eststo: reg `y' `x' bo_rom_road_n caloric_suit_100  bo_sea800 bo_bisharch800, r
+esttab using tables\TableC10.rtf, replace star(* 0.10 ** 0.05 *** 0.01) se cells(b(star fmt(3)) se(par fmt(3))) scalars(r2)
+eststo clear
+restore
+
+
+
+
+
+
+

106/replication_package/03_HistoricalUrbanAnalysis_Table3_Table4/data/IncestLegislation.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9baefd450d1f840697e3918125466f09c680fdc865f7026b250eae6367c9a3f2
+size 9536

106/replication_package/03_HistoricalUrbanAnalysis_Table3_Table4/data/IncestLegislation.dta

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3e168d9bc9d62bfc5ac7596b5646b7cabd2c1bd72a37abacc8dc2056217bf339
+size 71758

106/replication_package/03_HistoricalUrbanAnalysis_Table3_Table4/data/urbanflexible.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:11aae3495574d194df1a5719f3515f7def3670aa7ae19d9031e76cd54fb8e995
+size 5395764

106/replication_package/03_HistoricalUrbanAnalysis_Table3_Table4/data/urbanflexible.dta

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d326815d5008a4f89db5593fb98292f2cc80d01c80904c263181738c5ca34a90
+size 9714793

106/replication_package/04_EuropeanRegions_Table5/Analysis_EuropeanRegions.do

@@ -0,0 +1,110 @@
+* THIS DO-FILE IS FOR THE EUROPEAN REGIONAL ANALYSIS
+* IT CREATES THE OUTPUT FOR TABLE 5 AND APPENDIX TABLES D1 & B5
+
+
+use data\EuropeanRegions2.dta, clear
+
+ 
+*______________________________
+* Create sample (such that all regressions will have same number of observations
+
+keep if facntr==1  //only respondents whose father did not immigrate
+keep if mocntr==1  //only respondents whose father did not immigrate
+keep if citizen==1 //only those who indicated that they are citizens
+drop if education==.
+drop if rlgdnm==.
+drop if rlgdgr==.
+drop if domicil==.
+drop if monastic==.
+drop if pop_densit500ad ==.
+
+
+*____________________________________________
+*	Table 5: Cousin Marriage and Political Participation in Regions of Europe
+local v Ln_FirstCousin
+local a ageb_sqrt ageb female
+local b rugged dist_coast caloricsui abs_latitude
+local c prec temp elevation river_lake rye_rain oat_rain
+local d roman_road
+local e monastic
+local f rlgdgr i.rlgdnm
+local g i.education 
+local h i.domicil pop_densit500ad
+
+local x vote
+eststo: areg `x' `v' `a' 								i.essround, absorb(cntry) cluster(region_name)
+eststo: areg `x' `v' `a' `b' 							i.essround, absorb(cntry) cluster(region_name)
+eststo: areg `x' `v' `a' `b' `c' 						i.essround, absorb(cntry) cluster(region_name)
+eststo: areg `x' `v' `a' `b' `d' 						i.essround, absorb(cntry) cluster(region_name)
+eststo: areg `x' `v' `a' `b' `e' `f' 					i.essround, absorb(cntry) cluster(region_name)
+eststo: areg `x' `v' `a' `b' `g' 						i.essround, absorb(cntry) cluster(region_name)
+eststo: areg `x' `v' `a' `b' `h'						i.essround, absorb(cntry) cluster(region_name)
+eststo: areg `x' `v' `a' `b' `c' `d' `e' `f' `g' `h'	i.essround, absorb(cntry) cluster(region_name)
+esttab using tables\Table6_Vote.rtf, replace star(* 0.10 ** 0.05 *** 0.01) se cells(b(star fmt(3)) se(par fmt(3))) scalars(r2)
+eststo clear
+
+*____________________________________________
+*	Table D1:	Cousin Marriage and Political Participation in Regions of Europe with spatial Conley standard errors
+
+*create numeric countyr code
+sort cntry
+by cntry: gen country_id = 1 if _n==1
+replace country_id = sum(country_id)
+replace country_id = . if missing(cntry)
+
+local x vote
+local dist 2500
+eststo: acreg `x' `v' `a'									, pfe1(essround) pfe2(country_id) spatial latitude(latitude) longitude(longitude) dist(`dist') bartlett
+eststo: acreg `x' `v' `a' `b'								, pfe1(essround) pfe2(country_id) spatial latitude(latitude) longitude(longitude) dist(`dist') bartlett
+eststo: acreg `x' `v' `a' `b' `c'							, pfe1(essround) pfe2(country_id) spatial latitude(latitude) longitude(longitude) dist(`dist') bartlett
+eststo: acreg `x' `v' `a' `b' `d'							, pfe1(essround) pfe2(country_id) spatial latitude(latitude) longitude(longitude) dist(`dist') bartlett
+eststo: xi: acreg `x' `v' `a' `b' `e' `f'						, pfe1(essround) pfe2(country_id) spatial latitude(latitude) longitude(longitude) dist(`dist') bartlett
+eststo: xi: acreg `x' `v' `a' `b' `g'							, pfe1(essround) pfe2(country_id) spatial latitude(latitude) longitude(longitude) dist(`dist') bartlett
+eststo: xi: acreg `x' `v' `a' `b' `h'							, pfe1(essround) pfe2(country_id) spatial latitude(latitude) longitude(longitude) dist(`dist') bartlett
+eststo: xi: acreg `x' `v' `a' `b' `c' `d' `e' `f' `g' `h'		, pfe1(essround) pfe2(country_id) spatial latitude(latitude) longitude(longitude) dist(`dist') bartlett
+esttab using tables\TableD1_Conley_`dist'.rtf, replace star(* 0.10 ** 0.05 *** 0.01) se cells(b(star fmt(3)) se(par fmt(3))) scalars(r2)
+eststo clear
+
+
+*___________________________________________
+*	Table B5:	European regional-level Church exposure and cousin-marriage practices 
+clear all
+use data\EuropeanRegions2.dta
+
+preserve
+collapse carolingian_ratio ChurchExp rugged dist_coast caloricsui abs_latitude FirstCousin pop_densit500ad  roman_road rye_rain oat_rain prec temp irg_po elevation river_lake, by(cntry region_name)
+
+gen Ln_FirstCousin = ln(FirstCousin)
+
+keep if cntry=="IT" | cntry=="ES" | cntry=="FR" | cntry=="TR"
+
+local a rugged dist_coast caloricsui
+local b rugged dist_coast caloricsui abs_latitude
+
+local x Ln_FirstCousin
+local v ChurchExp
+*Panel 1: Church Exposure & Cousin-Marriage______________________________
+eststo: areg `x' `v' , absorb(cntry) r
+eststo: areg `x' `v' `a', absorb(cntry) r
+eststo: areg `x' `v' `b', absorb(cntry) r
+eststo: areg `x' `v' `a' prec temp elevation river_lake rye_rain oat_rain irg_po, absorb(cntry) r
+eststo: areg `x' `v' `a' roman_road , absorb(cntry) r
+eststo: areg `x' `v' `a' pop_densit500ad , absorb(cntry) r
+eststo: areg `x' `v' `a' roman_road pop_densit500ad  roman_road rye_rain oat_rain prec temp irg_po elevation river_lake, absorb(cntry) cluster(region_name)
+esttab using tables\TableB5_Panel_1_ChurchExposure.rtf, replace star(* 0.10 ** 0.05 *** 0.01) se cells(b(star fmt(3)) se(par fmt(3))) scalars(r2)
+eststo clear
+
+local x Ln_FirstCousin
+local v carolingian_ratio
+*Panel 2: Carolingian Exposure & Cousin-Marriage______________________________
+eststo: areg `x' `v' , absorb(cntry) r
+eststo: areg `x' `v' `a', absorb(cntry) r
+eststo: areg `x' `v' `b', absorb(cntry) r
+eststo: areg `x' `v' `a' prec temp elevation river_lake rye_rain oat_rain irg_po, absorb(cntry) r
+eststo: areg `x' `v' `a' roman_road , absorb(cntry) r
+eststo: areg `x' `v' `a' pop_densit500ad , absorb(cntry) r
+eststo: areg `x' `v' `a' roman_road pop_densit500ad  roman_road rye_rain oat_rain prec temp irg_po elevation river_lake, absorb(cntry) cluster(region_name)
+esttab using tables\TableB5_Panel_2_Carolingian.rtf, replace star(* 0.10 ** 0.05 *** 0.01) se cells(b(star fmt(3)) se(par fmt(3))) scalars(r2)
+eststo clear
+restore
+

106/replication_package/04_EuropeanRegions_Table5/data/EuropeanRegions2.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:81e1121ff4fe750117ad0e8b6195b69cc2206f2ce32e40dcf38d8c48238c103a
+size 58775964

106/replication_package/04_EuropeanRegions_Table5/data/EuropeanRegions2.dta

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6394c22aca6e8200e00d9aa5a7127bc3c15ea7d1dc381082091f2e9c71a553d3
+size 52920454

106/replication_package/05_SecondGenerationImmigrants_Table6/01_Table6/AnalysesSecondGeneration.do

@@ -0,0 +1,143 @@
+* THIS DO-FILE IS FOR THE SECOND GENERATION IMMIGRANT ANALYSIS
+* IT CREATES THE OUTPUT FOR TABLE 6 AND APPENDIX TABLES D3
+
+clear all
+use data\ESS_immigrants.dta
+
+*_____________________
+*	Table 6: Kin Networks in Mothers’ Originating Countries and Voting
+
+preserve
+keep if cntbrth_h==1 //keep only those that are born domestically
+keep if mocntr==2 //only those where mother is from somewhere else
+keep if citizen ==1 //only citizens
+drop if ageb<18
+
+*drop those where information where mother was born is missing
+drop if mbrncnt =="99"
+drop if mbrncnt =="88"
+drop if mbrncnt =="77"
+drop if mbrncnt =="06"
+drop if mbrncnt =="04"
+drop if mbrncnt =="03"
+drop if mbrncnt =="02"
+
+*drop observations with missing covariates ==> all specification have the same number of observations, which allows easy comparison
+drop if education==. | rlgdnm==. | uempla==. | uempli==.
+drop if dscrgrp==. | rlgdgr==. | ageb==. | ageb_sqrt==. | gndr==.    
+drop if m_nu_rugged==. | m_ag_abslat==. | m_du_caloricsui==. | m_ag_distcr ==. | m_nu_european==.
+
+local a m_nu_rugged m_ag_abslat m_du_caloricsui m_ag_distcr 
+local y vote
+
+* Panel 1: Cousin marriage preference
+local v m_fs_cousin_pref_cont
+eststo: xi: areg `y' `v'       ageb ageb_sqrt gndr i.essround          , absorb(cntry) cluster(cntry) 
+eststo: xi: areg `y' `v'   `a' ageb ageb_sqrt gndr i.essround          , absorb(cntry) cluster(cntry)
+eststo: xi: areg `y' `v'   `a' ageb ageb_sqrt gndr i.essround i.rlgdnm rlgdgr , absorb(cntry) cluster(cntry)
+eststo: xi: areg `y' `v'   `a' ageb ageb_sqrt gndr i.essround                 dscrgrp i.education uempla uempli , absorb(cntry) cluster(cntry)
+eststo: xi: areg `y' `v'   `a' ageb ageb_sqrt gndr i.essround i.rlgdnm rlgdgr dscrgrp i.education uempla uempli , absorb(cntry) cluster(cntry)
+eststo: xi: areg `y' `v'   `a' ageb ageb_sqrt gndr i.essround m_nu_european , absorb(cntry) cluster(cntry)
+esttab using tables\Table6_Panel_1.rtf, replace star(* 0.10 ** 0.05 *** 0.01) r2 se cells(b(star fmt(3)) se(par fmt(3))) scalars(chi2 fs)
+eststo clear
+
+*Panel 2: Cousin-term differentiation
+local v m_fs_diff_cousin 
+eststo: xi: areg `y' `v'       ageb ageb_sqrt gndr i.essround          , absorb(cntry) cluster(cntry) 
+eststo: xi: areg `y' `v'   `a' ageb ageb_sqrt gndr i.essround          , absorb(cntry) cluster(cntry)
+eststo: xi: areg `y' `v'   `a' ageb ageb_sqrt gndr i.essround i.rlgdnm rlgdgr , absorb(cntry) cluster(cntry)
+eststo: xi: areg `y' `v'   `a' ageb ageb_sqrt gndr i.essround                 dscrgrp i.education uempla uempli , absorb(cntry) cluster(cntry)
+eststo: xi: areg `y' `v'   `a' ageb ageb_sqrt gndr i.essround i.rlgdnm rlgdgr dscrgrp i.education uempla uempli , absorb(cntry) cluster(cntry)
+eststo: xi: areg `y' `v'   `a' ageb ageb_sqrt gndr i.essround m_nu_european , absorb(cntry) cluster(cntry)
+esttab using tables\Table6_Panel_2.rtf, replace star(* 0.10 ** 0.05 *** 0.01) r2 se cells(b(star fmt(3)) se(par fmt(3))) scalars(chi2 fs)
+eststo clear
+
+*Panel 3: Log % cousin marriage
+local v m_bit_consang_ln
+eststo: xi: areg `y' `v'       ageb ageb_sqrt gndr i.essround          , absorb(cntry) cluster(cntry) 
+eststo: xi: areg `y' `v'   `a' ageb ageb_sqrt gndr i.essround          , absorb(cntry) cluster(cntry)
+eststo: xi: areg `y' `v'   `a' ageb ageb_sqrt gndr i.essround i.rlgdnm rlgdgr , absorb(cntry) cluster(cntry)
+eststo: xi: areg `y' `v'   `a' ageb ageb_sqrt gndr i.essround                 dscrgrp i.education uempla uempli , absorb(cntry) cluster(cntry)
+eststo: xi: areg `y' `v'   `a' ageb ageb_sqrt gndr i.essround i.rlgdnm rlgdgr dscrgrp i.education uempla uempli , absorb(cntry) cluster(cntry)
+eststo: xi: areg `y' `v'   `a' ageb ageb_sqrt gndr i.essround m_nu_european , absorb(cntry) cluster(cntry)
+esttab using tables\Table6_Panel_3.rtf, replace star(* 0.10 ** 0.05 *** 0.01) r2 se cells(b(star fmt(3)) se(par fmt(3))) scalars(chi2 fs)
+eststo clear
+restore
+
+
+
+
+
+
+
+
+*_____________________
+*	Table D3: Kin networks in Fathers’ Originating Countries and Political Activity
+preserve
+keep if cntbrth_h==1 //keep only those that are born domestically
+keep if facntr==2 //only those where father is from somewhere else
+*keep only those where we know where father is from
+drop if fbrncnt =="99"
+drop if fbrncnt =="88"
+drop if fbrncnt =="77"
+drop if fbrncnt =="06"
+drop if fbrncnt =="04"
+drop if fbrncnt =="03"
+drop if fbrncnt =="02"
+
+drop if education==. | rlgdnm==. | uempla==. | uempli==.
+drop if dscrgrp==. | rlgdgr==. | ageb==. | ageb_sqrt==. | gndr==.    
+drop if f_nu_rugged==. | f_ag_abslat==. | f_du_caloricsui==.  | f_ag_distcr ==. | f_nu_european==.
+
+local a f_nu_rugged f_ag_abslat f_du_caloricsui f_ag_distcr 
+local y active1_std
+
+* Panel 1: Cousin marriage preference
+local v f_fs_cousin_pref_cont
+eststo: xi: areg `y' `v'       ageb ageb_sqrt gndr i.essround          , absorb(cntry) cluster(cntry) 
+eststo: xi: areg `y' `v'   `a' ageb ageb_sqrt gndr i.essround          , absorb(cntry) cluster(cntry)
+eststo: xi: areg `y' `v'   `a' ageb ageb_sqrt gndr i.essround i.rlgdnm rlgdgr , absorb(cntry) cluster(cntry)
+eststo: xi: areg `y' `v'   `a' ageb ageb_sqrt gndr i.essround                 dscrgrp i.education uempla uempli , absorb(cntry) cluster(cntry)
+eststo: xi: areg `y' `v'   `a' ageb ageb_sqrt gndr i.essround i.rlgdnm rlgdgr dscrgrp i.education uempla uempli , absorb(cntry) cluster(cntry)
+eststo: xi: areg `y' `v'   `a' ageb ageb_sqrt gndr i.essround f_nu_european , absorb(cntry) cluster(cntry)
+esttab using tables\TableD3_Panel_1.rtf, replace star(* 0.10 ** 0.05 *** 0.01) r2 se cells(b(star fmt(3)) se(par fmt(3))) scalars(chi2 fs)
+eststo clear
+
+* Panel 2: Cousin-term differentiation
+local v f_fs_diff_cousin 
+eststo: xi: areg `y' `v'       ageb ageb_sqrt gndr i.essround          , absorb(cntry) cluster(cntry) 
+eststo: xi: areg `y' `v'   `a' ageb ageb_sqrt gndr i.essround          , absorb(cntry) cluster(cntry)
+eststo: xi: areg `y' `v'   `a' ageb ageb_sqrt gndr i.essround i.rlgdnm rlgdgr , absorb(cntry) cluster(cntry)
+eststo: xi: areg `y' `v'   `a' ageb ageb_sqrt gndr i.essround                 dscrgrp i.education uempla uempli , absorb(cntry) cluster(cntry)
+eststo: xi: areg `y' `v'   `a' ageb ageb_sqrt gndr i.essround i.rlgdnm rlgdgr dscrgrp i.education uempla uempli , absorb(cntry) cluster(cntry)
+eststo: xi: areg `y' `v'   `a' ageb ageb_sqrt gndr i.essround f_nu_european , absorb(cntry) cluster(cntry)
+esttab using tables\TableD3_Panel_2.rtf, replace star(* 0.10 ** 0.05 *** 0.01) r2 se cells(b(star fmt(3)) se(par fmt(3))) scalars(chi2 fs)
+eststo clear
+
+* Panel 3: Log percent cousin marriage
+local v f_bit_consang_ln
+eststo: xi: areg `y' `v'       ageb ageb_sqrt gndr i.essround          , absorb(cntry) cluster(cntry) 
+eststo: xi: areg `y' `v'   `a' ageb ageb_sqrt gndr i.essround          , absorb(cntry) cluster(cntry)
+eststo: xi: areg `y' `v'   `a' ageb ageb_sqrt gndr i.essround i.rlgdnm rlgdgr , absorb(cntry) cluster(cntry)
+eststo: xi: areg `y' `v'   `a' ageb ageb_sqrt gndr i.essround                 dscrgrp i.education uempla uempli , absorb(cntry) cluster(cntry)
+eststo: xi: areg `y' `v'   `a' ageb ageb_sqrt gndr i.essround i.rlgdnm rlgdgr dscrgrp i.education uempla uempli , absorb(cntry) cluster(cntry)
+eststo: xi: areg `y' `v'   `a' ageb ageb_sqrt gndr i.essround f_nu_european , absorb(cntry) cluster(cntry)
+esttab using tables\TableD3_Panel_3.rtf, replace star(* 0.10 ** 0.05 *** 0.01) r2 se cells(b(star fmt(3)) se(par fmt(3))) scalars(chi2 fs)
+eststo clear
+
+restore
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+

106/replication_package/05_SecondGenerationImmigrants_Table6/01_Table6/data/ESS_immigrants.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:14df47af2d69084780b916cc2516d19d9b149ea73bb08533ba068a915cce799f
+size 11564985

106/replication_package/05_SecondGenerationImmigrants_Table6/01_Table6/data/ESS_immigrants.dta

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2c43888f4a849d0b1a2b72f115249c7078266205d57a7881825ca458451ef182
+size 10302301

106/replication_package/05_SecondGenerationImmigrants_Table6/02_TableD4/Analyses_AncestralEthnicity.do

@@ -0,0 +1,52 @@
+*SECOND GENERATION IMMIGRANTS ANALYSIS EXPLOITUNG WITHIN COUNTRY VARIATION OF THE ORIGN COUNTRY DUE TO MATCHING OF ETHNICITIES
+*THIS CREATES APPENDIX TABLE D4
+
+
+clear all
+use data\SecondGen_AncetralEthnicity.dta, replace
+
+
+*____________________________________________________
+*	Table D4: Kin networks of Fathers’ Ancestral Ethnicities & Political activity
+preserve
+
+keep if facntr == 2 //non-domestic mother
+drop if fbrncnt =="99" //drop those where origin is not known
+drop if fbrncnt =="88"
+drop if fbrncnt =="77"
+drop if fbrncnt =="06"
+drop if fbrncnt =="04"
+drop if fbrncnt =="03"
+drop if fbrncnt =="02"
+
+keep if mbrncnt==fbrncnt | mbrncnt==cntry //keep only those where father is from the same country as mother or mother is native
+
+*drop entries with missing data for covariates so that all specifications have the same number of observations
+drop if dscrgrp==. | rlgdgr==. | uempla==. | uempli==. | ageb==. | ageb_sqrt==. | gndr==. | married==. | rlgdnm==.
+drop if co_fishing==. | co_husbandry==. | co_agriculture==. | co_hierarchy==. | co_irrigation==. | co_settlementcomplex_mean==.
+
+local x co_fishing co_husbandry co_agriculture co_hierarchy co_irrigation co_settlementcomplex_mean
+local y activity1
+
+* Panel 1: Cousin marriage preference
+local v fs_cousin_preferred_cont_mean
+eststo: xi: areg `y' `v'      i.cntry ageb ageb_sqrt gndr i.essround  , absorb(fbrncnt) cluster(cntry)
+eststo: xi: areg `y' `v'  `x' i.cntry ageb ageb_sqrt gndr i.essround  , absorb(fbrncnt) cluster(cntry)
+eststo: xi: areg `y' `v'  `x' i.cntry dscrgrp uempla uempli married ageb ageb_sqrt gndr i.essround  , absorb(fbrncnt) cluster(cntry)
+eststo: xi: areg `y' `v'  `x' i.cntry dscrgrp uempla uempli married i.rlgdnm rlgdgr ageb ageb_sqrt gndr i.essround , absorb(fbrncnt) cluster(cntry)
+esttab using tables/TableD4_Panel_1.rtf, replace star(* 0.10 ** 0.05 *** 0.01) r2 se cells(b(star fmt(3)) se(par fmt(3))) scalars(chi2 fs)
+eststo clear
+
+* Panel 2: Cousin-term differentiation
+local v fs_diff_cousin_mean
+eststo: xi: areg `y' `v'      i.cntry ageb ageb_sqrt gndr i.essround  , absorb(fbrncnt) cluster(cntry)
+eststo: xi: areg `y' `v'  `x' i.cntry ageb ageb_sqrt gndr i.essround  , absorb(fbrncnt) cluster(cntry)
+eststo: xi: areg `y' `v'  `x' i.cntry dscrgrp uempla uempli married ageb ageb_sqrt gndr i.essround  , absorb(fbrncnt) cluster(cntry)
+eststo: xi: areg `y' `v'  `x' i.cntry dscrgrp uempla uempli married i.rlgdnm rlgdgr ageb ageb_sqrt gndr i.essround , absorb(fbrncnt) cluster(cntry)
+esttab using tables/TableD4_Panel_2.rtf, replace star(* 0.10 ** 0.05 *** 0.01) r2 se cells(b(star fmt(3)) se(par fmt(3))) scalars(chi2 fs)
+eststo clear
+restore
+
+
+
+

106/replication_package/05_SecondGenerationImmigrants_Table6/02_TableD4/data/SecondGen_AncetralEthnicity.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9853988d3ccd177728a2857ab7982166f49ff5c912ad7940664ce9cd905a9b57
+size 777409

106/replication_package/05_SecondGenerationImmigrants_Table6/02_TableD4/data/SecondGen_AncetralEthnicity.dta

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:46577754e98eeb0794f18e55d51257b0c9e67ba78da02b94f795e92f78181cbb
+size 1128528

106/replication_package/06_Appendix_Italy/Italy.do

@@ -0,0 +1,30 @@
+* THIS DO FILE CREATES OUTUT FOR APPENDIX TABLE D2
+
+
+
+use data\ItalyData.dta, clear
+
+*____________________________________________________
+* Table D2: Cousin marriage, Voter Turnout and Judicial Inefficiency in Italy
+
+local y trust1 //voter turnout
+local x Ln_FirstCousin
+eststo: reg `y' `x', r
+eststo: reg `y' `x' ruggedness dist_coast caloric_su abs_latitude, r
+eststo: reg `y' `x' ruggedness dist_coast caloric_su abs_latitude tmp oat_irr rye_irr elevation prec_m river_lake, r
+eststo: reg `y' `x' ruggedness dist_coast caloric_su abs_latitude tmp oat_irr rye_irr elevation prec_m river_lake avgschprov81, r
+eststo: reg `y' `x' ruggedness dist_coast caloric_su abs_latitude tmp oat_irr rye_irr elevation prec_m river_lake i.regions , r
+eststo: areg `y' `x' ruggedness dist_coast caloric_su abs_latitude tmp oat_irr rye_irr elevation prec_m river_lake avgschprov81, r absorb(Nuts2Code)
+esttab using tables\TableD2_Panel_1.rtf, replace star(* 0.10 ** 0.05 *** 0.01) r2 se cells(b(star fmt(2)) se(par fmt(2))) scalars(F)
+eststo clear
+
+local y ineff1 // judicial inefficiencies
+local x Ln_FirstCousin
+eststo: reg `y' `x', r
+eststo: reg `y' `x' ruggedness dist_coast caloric_su abs_latitude, r
+eststo: reg `y' `x' ruggedness dist_coast caloric_su abs_latitude tmp oat_irr rye_irr elevation prec_m river_lake, r
+eststo: reg `y' `x' ruggedness dist_coast caloric_su abs_latitude tmp oat_irr rye_irr elevation prec_m river_lake avgschprov81, r
+eststo: reg `y' `x' ruggedness dist_coast caloric_su abs_latitude tmp oat_irr rye_irr elevation prec_m river_lake i.regions , r
+eststo: areg `y' `x' ruggedness dist_coast caloric_su abs_latitude tmp oat_irr rye_irr elevation prec_m river_lake avgschprov81, r absorb(Nuts2Code)
+esttab using tables\TableD2_Panel_2.rtf, replace star(* 0.10 ** 0.05 *** 0.01) r2 se cells(b(star fmt(2)) se(par fmt(2))) scalars(F)
+eststo clear

106/replication_package/06_Appendix_Italy/data/Italydata.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3444f6e31974a561df2cb54e6edf36c4d2b2c849a21eb09889eba2b7a644fa9e
+size 23940

106/replication_package/06_Appendix_Italy/data/Italydata.dta

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3024b5b254c4cd8695c88f0ce4bce95993e56711aa290d285e6d7c660aeae9f2
+size 28695

106/replication_package/07_Appendix_HistoricalCountry/PopulationEurope.do

@@ -0,0 +1,25 @@
+* THIS DO FILE CREATES OUTUT FOR APPENDIX TABLE C6
+
+use data\HistoricalCountry.dta, clear
+
+*__________________________________________________________________________
+* Table C6: Western Church Exposure and Countries’ medieval Urban and Overall Population
+
+eststo: areg Pop ChurchExpWest ChurchExpEast, absorb(country) r
+test ChurchExpWest = ChurchExpEast
+eststo: areg Pop ChurchExpWest ChurchExpEast i.year, absorb(country) r
+test ChurchExpWest = ChurchExpEast
+xi: eststo: areg Pop ChurchExpWest ChurchExpEast i.year*Roman, absorb(country) r
+test ChurchExpWest = ChurchExpEast
+
+eststo: areg urban_  ChurchExpWest ChurchExpEast, absorb(country) r
+test ChurchExpWest = ChurchExpEast
+eststo: areg urban_  ChurchExpWest ChurchExpEast i.year, absorb(country) r
+test ChurchExpWest = ChurchExpEast
+xi: eststo: areg urban_  ChurchExpWest ChurchExpEast i.year*Roman, absorb(country) r
+test ChurchExpWest = ChurchExpEast
+
+esttab using tables\TableC6.rtf, replace star(* 0.10 ** 0.05 *** 0.01) r2 se cells(b(star fmt(2)) se(par fmt(2)))
+eststo clear
+
+

106/replication_package/07_Appendix_HistoricalCountry/data/HistoricalCountry.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e05fbc0edf907c23cc6485978afa92b96a36952fa8df5128d980905f6cd6d675
+size 6269

106/replication_package/07_Appendix_HistoricalCountry/data/HistoricalCountry.dta

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8a3a87304e43a35010949a89109eec487f3fda7b8fa53f660b06bb5d725c92b0
+size 152617

106/replication_package/README.pdf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c886b9ffdb2b23ea996dd05eb68c0a2ee5ef1e48efcb7c8dab131ec537f5efd6
+size 323890

106/should_reproduce.txt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dfcefd9ebbbb6eddb777d68a6d8be96c98e7a132059885056e1ca5888e92b027
+size 65