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18/paper.pdf

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18/replication_package/ReadMe.pdf

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18/replication_package/thank_you_replication/data/charity_more_questions.csv

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18/replication_package/thank_you_replication/data/experiment_data.xlsx

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18/replication_package/thank_you_replication/data/gift.dta

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18/replication_package/thank_you_replication/data/spi_mailing_list.csv

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18/replication_package/thank_you_replication/data/transactions.dta

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18/replication_package/thank_you_replication/dofiles/01_dataprep/main.do

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+/**********************************************************************************************
+* Purpose: Runs all do-files located in the dofiles/dataprep folder
+* Date modified: 2021 
+
+*Instructions: Uncomment line 22 and 29 after data from UAS has been received and all do files
+in the dataprep folder have been run
+**********************************************************************************************/
+
+*===============================================================================
+*  CREATING DATASETS
+*===============================================================================
+
+do "$dofiles/01_dataprep/step1_creating_temp_datasets.do" 
+do "$dofiles/01_dataprep/step2_creating_exp1_2_3_dataset.do" 
+do "$dofiles/01_dataprep/step3_creating_charity_dataset.do" 
+
+/***********************************************************************************************
+Uncomment below line after data from UAS has been received and all do files in the dataprep folder
+have been run
+***********************************************************************************************/
+
+*do "$dofiles/01_dataprep/step4_creating_uas_dataset.do" 
+
+/***********************************************************************************************
+Uncomment below line after data from UAS has been received and all do files in the dataprep folder
+have been run
+***********************************************************************************************/
+
+*do "$dofiles/01_dataprep/step5_creating_forecast_sample_figure2.do" 
+
+do "$dofiles/01_dataprep/step6_creating_charity_round2.do" 

18/replication_package/thank_you_replication/dofiles/01_dataprep/step1_creating_temp_datasets.do

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+/********************************************************************************
+* Purpose: This do file creates, cleans, and merges files to create the datasets 
+  out of which final data for experiment 1, 2 and 3 will be extracted for analysis. 
+  It also creates the final dataset used for the creation of Figure 1
+
+*Input Files: transactions.dta, callog.dta, demographics.dta, treatments.dta, gift.dta
+*Temp Files: transaction_temp.dta, callog_temp.dta, demographics_temp.dta, treatments_temp.dta
+*Output Files: temp_data_exp1_exp3, reshaped_temp_data_exp1_exp3, gift_exp2temp
+********************************************************************************/
+
+cd "$dir/data"
+
+/////////////////////////////////////////////////////////
+////												/////
+//// 	     PREPARE TRANSACTION DATA				/////
+////												/////
+/////////////////////////////////////////////////////////
+
+use "transactions", clear //transaction log
+
+split gift_date, p(" ") //all of the dates have an hour attached
+drop gift_date2
+drop gift_date
+ren gift_date1 gift_date
+
+gen date=date(gift_date, "YMD")
+format date %d //format date
+sort account_id date
+
+//Create variables for gift type - installment, or one-time
+
+	gen gift_kind1=0 if gift_kind=="IN" 
+	replace gift_kind1=1 if gift_kind=="OP" 
+	replace gift_kind1=2 if source_category=="SG" 
+	replace gift_kind1=3 if gift_kind=="NULL"
+	replace gift_kind1=4 if gift_kind1==. //all other types
+	
+	gen pledge=0
+	replace pledge=1 if source_category=="P" //identify pledge gifts 
+
+	label define source_definition 0 "Installment" 1 "One time payment" 2 "Sustaining Gift" 3 "Other" 4 "Unknown"
+	label values gift_kind1 source_definition
+
+//Create variables for solicitation type
+ 
+	gen technique1=0 if technique=="FF"
+	replace technique1=1 if technique=="IN"
+	replace technique1=2 if technique=="MM"
+	replace technique1=3 if technique=="OT"
+	replace technique1=4 if technique1==. //all other types
+
+	label define technique_definition 0 "Face to Face" 1 "Internet" 2 "Mailing" 3 "Other" 4 "Unknown"
+	label values technique1 technique_definition
+
+//Create numeric variables for rejoin type - new, renewing
+
+	gen gift_type1=0 if gift_type=="NW"
+	replace gift_type1=1 if gift_type=="RN"
+	replace gift_type1=2 if gift_type=="RJ"
+	replace gift_type1=3 if gift_type=="AD"
+	replace gift_type1=4 if gift_type=="UP"
+	replace gift_type1=5 if gift_type=="OT"
+	replace gift_type1=6 if gift_type1==. //all other types
+	
+	label define gift_definition 0 "New" 1 "Renewal" 2 "Rejoin" 3 "Additional" 4 "Upgrade" 5 "Other" 6 "Unknown"
+	label values gift_type1 gift_definition
+	
+	
+	
+//Rename variables
+
+	drop technique gift_type gift_kind
+	ren technique1 technique
+	ren gift_type1 gift_type
+	ren gift_kind1 gift_kind
+	label var technique "Solicitation type"
+	label var gift_kind "Gift Kind-Onetime or Inst"
+	label var gift_type "Gift Type-New or Renew"
+	label var date "Date of gift (transactions)"
+	label var account_id "Account ID"
+	label var gift_date "Formatted Date of gift (transactions)"
+	label var payment_amount "Donation amount"	
+
+	
+	replace account=upper(account) //standardize account ID
+	replace station=upper(station)
+	
+//Collapse all so you have only one payment per day
+
+	collapse (sum) payment_amount (mean) gift_kind technique gift_type pledge, by(account_id date station gift_date) 
+	
+	
+//Format transaction dates
+
+	gen transaction_month=month(date)
+	gen transaction_year=year(date)
+
+
+	//A few IDs give above $10,000 or more at some point. Tag all of them.
+	
+	gen big_donor_temp=1 if payment_amount>=10000
+	bysort account: egen big_donor=sum(big_donor_temp)
+
+	
+save transaction_temp, replace
+
+/////////////////////////////////////////////////////////
+////												/////
+//// 			PREPARE CALL DATA					/////
+////												/////
+/////////////////////////////////////////////////////////
+
+use "callog", clear //log of calls
+
+
+	replace account=upper(account) //standardize account ID
+	replace station=upper(station)
+	
+//Drop anyone who was accidentally in the experiment two times
+
+	duplicates tag account, gen(t) //this drops 0.26% of the calls (1,139)
+	drop if t>0
+	
+// Label variables
+
+	gen date_call=date(int_contact_date, "DM20Y")
+	format date_call %d
+	label var date_call "Date of call from call log"
+	
+	gen date_gift=date(gift_date, "DM20Y")
+	format date_gift %d
+	label var date_gift "Date of gift from call log"
+
+	ren segment treatment
+	label var treatment "Treatment"
+	gen treat=0 if treatment=="Control"
+	replace treat=1 if treatment=="Active Calls"
+	label var treat "Treatment 0/1"
+	
+	gen date=date(gift_date, "MDY") 
+	format date %d 
+	label var date "Date of gift (call log)"
+	label var account "Account ID"
+	sort account_id date
+	
+	label var exec_date "YYMM of TY Group"
+	
+//Generate response type
+
+	gen response_type1=0 if response_type=="LEFTMSG"
+	replace response_type1=1 if response_type=="NEGENG"
+	replace response_type1=2 if response_type=="NOCALL"
+	replace response_type1=3 if response_type=="NOREACH"
+	replace response_type1=4 if response_type=="POSENG"
+	replace response_type1=5 if response_type=="REACHED"
+	replace response_type1=6 if response_type1==.
+	
+	label define response_label 0 "Left Message" 1 "Negative Eng" 2 "Control" 3 "Not reached" 4 "Positive Eng" 5 "Neutral Eng" 6 "Unknown"
+	label values response_type1 response_label
+	label var response_type1 "Response Type"
+
+//Generate engagement dummies
+
+	gen reached=0 if treat==1
+	replace reached=1 if response_type=="POSENG" | response_type=="NEGENG" | response_type=="REACHED" | response_type=="LEFTMSG"
+	label var reached "Reached, 0/1 if treated"
+
+	gen positive_engagement=0 if treat==1
+	replace positive_engagement=1 if response_type=="POSENG"
+	label var positive_engagement "Positive, 0/1 if treated"
+
+	gen neutral_engagement=0 if treat==1
+	replace neutral_engagement=1 if response_type=="REACHED"
+	label var neutral_engagement "Positive, 0/1 if treated"
+
+	gen negative_engagement=0 if treat==1
+	replace negative_engagement=1 if response_type=="NEGENG"
+	label var negative_engagement "Negative, 0/1 if treated"
+
+	gen left_message=0 if treat==1
+	replace left_message=1 if response_type=="LEFTMSG"
+	label var left_message "Left Msg, 0/1 if treated"
+	
+
+sort account date
+
+	
+	
+	//Available data is through 2018Q1. That means drop exec dates on or after 17/04	
+	
+	drop if exec_date==1704 | exec_date==1707 | exec_date==1710 | exec_date==1801
+	
+//Prepare exec date data
+	
+	tostring exec_date, force replace
+	gen exec_year = substr(exec_date, 1, 2)
+	gen exec_month = substr(exec_date, 3, 2)
+	gen exec_day = 1
+	
+	destring exec_year, force replace
+	destring exec_month, force replace
+	
+	replace exec_year=exec_year+2000 
+	
+	gen edate = mdy(exec_month, exec_day, exec_year)
+	
+	format edate %td
+	
+	gen e_year=year(edate)
+	gen e_month=month(edate)
+	
+	//****** THESE VARIABLES ESTABLISH WHEN CALLS ARE MADE RELATIVE TO THE LAST GIFT FOR TREATMENT PEOPLE ONLY
+	
+	gen months_to_exec_from_gift_date=.
+	replace months_to_exec_from_gift_date=(edate-date_gift)/30.25 if treat==1 
+	
+	gen months_to_call_from_edate=.
+	replace months_to_call_from_edate=(date_call-edate)/30.25 if treat==1 
+	
+	gen months_to_call_from_gift=.
+	replace months_to_call_from_gift=(date_call-date_gift)/30.25 if treat==1 
+	
+drop technique // also available in other dataset
+
+ren date date_initial_gift //only for treatment people
+
+save callog_temp, replace
+
+/////////////////////////////////////////////////////////
+////												/////
+//// 			PREPARE DEMOGRAPHIPCS		     	/////
+////												/////
+/////////////////////////////////////////////////////////
+
+use "demographics", clear
+
+*ren accountid account_id
+sort account
+
+replace account=upper(account) //standardize account ID
+
+drop if account=="NULL" //drop those without an account
+duplicates drop // we have 0.3% of data that is duplicate account IDs and information
+
+gen demo_dont_contact=0
+replace demo_dont_contact=1 if donotphone=="X" | donotthank=="X"
+
+gen female=.
+replace female=0 if gender=="M"
+replace female=1 if gender=="F"
+
+
+
+//Split into 3 groups
+gen age_at_gift=""
+replace age_at_gift="18 to 44 years old" if agecode==1 | agecode==2 | agecode==3
+replace age_at_gift="45 to 64 years old" if agecode==4 | agecode==5
+replace age_at_gift="65+ years old" if agecode==6 | agecode==7
+
+//Split into 4 groups
+gen income=""
+replace income="Below $34,000" if hhincomecode=="A" | hhincomecode=="B" | hhincomecode=="C"
+replace income="$35,000-$$99,999" if hhincomecode=="D" | hhincomecode=="E" | hhincomecode=="F"
+replace income="$100,000-$174,999" if hhincomecode=="G" | hhincomecode=="H" | hhincomecode=="I"
+replace income="$175,000+" if hhincomecode=="J" | hhincomecode=="K" | hhincomecode=="L"
+replace income="" if hhincomecode=="U" 
+
+//Split into 3 groups
+gen lorgroup=""
+replace lorgroup="5 years or less" if lor==2 | lor==3 | lor==4
+replace lorgroup="6-15 years" if lor==5 | lor==6
+replace lorgroup="16+ years" if lor==7 | lor==8
+
+//Add indicators for missing data
+gen age_income_missing=0
+replace age_income_missing=1 if agecode==.
+
+gen female_missing=0
+replace female_missing=1 if female==.
+
+global var demographics female age_at_gift income lorgroup age_income_missing
+
+save demographics_temp, replace
+
+/////////////////////////////////////////////////////////
+////												/////
+//// 			PREPARE TREATMENTS       			/////
+////												/////
+/////////////////////////////////////////////////////////
+
+//Experiment 3 treatments are exec-date 1610.
+
+use "treatments", clear
+
+replace account=upper(account) //standardize account ID
+
+duplicates drop  //1 ID is a duplicate
+
+save treatments_temp, replace
+
+
+/////////////////////////////////////////////////////////
+////												/////
+//// 			MERGE DATASETS						/////
+////												/////
+/////////////////////////////////////////////////////////
+
+
+
+	use "transaction_temp", clear
+	
+//-----------------------------------------
+// Merge demographics
+//-----------------------------------------
+	
+	merge m:1 account_id using "demographics_temp.dta"
+	
+	drop _m
+	
+//-----------------------------------------
+// Merge the call log and transaction log
+//-----------------------------------------
+	
+	merge m:1 account_id using "callog_temp.dta"
+
+	
+	gen in_experiment=0
+	replace in_experiment=1 if _m==3
+	
+	keep if _m==3 //these are account numbers that could be matched
+	
+	drop _m
+	
+	replace date_initial_gift=. if date_initial_gift==td(1jan1900) | treat==0 
+
+//-----------------------------------------
+// Merge in the treatments
+//-----------------------------------------
+	
+	merge m:1 account_id using "treatments_temp.dta"
+	drop if _merge==2
+
+//-----------------------------------------------
+// Drop big donors
+//-----------------------------------------------
+
+	drop if big_donor>=1
+	
+//-----------------------------------------------	
+//Generate 365.25 days past exec_date
+//This tags all transactions according to where they fall in the timeline
+//-----------------------------------------------
+	
+	gen timeline=""
+	replace timeline="a_existing_donor" if date<edate-365.25 
+	replace timeline="b_year before" if date<=edate & date>edate-365.25 
+	replace timeline="c_year after" if date>=edate & date<edate+(365.25) 
+	replace timeline="d_two years after" if date>=edate+365.25 & date<edate+365.25+365.25 
+	replace timeline="e_three years after" if date>=edate+365.25+365.25 & date<edate+365.25+365.25+365.25 
+	replace timeline="f_four years after" if date>=edate+365.25+365.25+365.25 & date<edate+365.25+365.25+365.25+365.25
+	replace timeline="g_five years after" if date>=edate+365.25+365.25+365.25+365.25 & date<edate+365.25+365.25+365.25+365.25+365.25
+	replace timeline="h_six+ years after" if date>=edate+365.25+365.25+365.25+365.25+365.25
+	
+	
+	
+	gen sustaining_donors=0
+	replace sustaining_donors=1 if gift_kind==2 & timeline=="b_year before"
+	bysort account: egen sustaining_donors_temp=max(sustaining_donors)
+	drop if sustaining_donors_temp>=1
+	
+	
+//-----------------------------------------------	
+// Get the initial gifts
+//-----------------------------------------------
+	
+	gen difference=edate-date   //difference between exec date and date
+								//positive if gift date earlier
+								//negative if gift date later
+	
+	gen difference_months=difference/30.25
+	gen difference_months_round=round(difference_months,1)
+	
+	gen var1=1
+	
+	replace difference=. if difference<0 //don't count future gifts
+	
+	bysort account: egen minimum_diff=min(difference) //get the gift closest to exec date
+	gen diff_months=minimum_diff/30.25
+	
+	//*** This variable gives the months that pass from the last gift to exec date.
+	
+	
+	gen months_to_exec_date=round(diff_months, 1)
+	
+	//Get the first and last dates in the file
+	
+    by account (date), sort: gen firstdate = date[1]
+	by account (date), sort: gen lastdate = date[_N]
+	
+	format firstdate %tdd_m_y
+	format lastdate %tdd_m_y
+	gen firstdate_year=year(firstdate)
+	gen firstdate_month=month(firstdate)
+	gen lastdate_year=year(lastdate)
+	gen lastdate_month=month(lastdate)
+			
+save "temp_data_exp1_exp3",replace
+	
+	collapse (sum) payment_amount var1 (mean) pledge, by(timeline account_id station exec_date edate treat script response_type female age_at_gift lorgroup income female_missing age_income_missing months_to_exec_date months_to_call_from_edate months_to_exec_from_gift_date months_to_call_from_gift)
+	
+	encode timeline, gen(t)
+	replace t=0 if t==.
+	
+	drop timeline
+	
+	//Reshape wide
+	reshape wide payment_amount var1 pledge, i(account_id) j(t)
+	
+	//drop existing donors 
+	drop if payment_amount1!=. 
+	
+	replace payment_amount2=0 if payment_amount2==. 
+	replace payment_amount3=0 if payment_amount3==. 
+	replace payment_amount4=0 if payment_amount4==. & edate<date("01/01/2016","MDY") 
+	replace payment_amount5=0 if payment_amount5==. & edate<date("01/01/2015","MDY") 
+	replace payment_amount6=0 if payment_amount6==. & edate<date("01/01/2014","MDY") 
+
+
+	replace var12=0 if var12==.
+	replace var13=0 if var13==.
+	replace var14=0 if var14==. & edate<date("01/01/2016","MDY")
+	replace var15=0 if var15==. & edate<date("01/01/2015","MDY") 
+	replace var16=0 if var16==.	& edate<date("01/01/2014","MDY") 
+
+	
+	gen retention=payment_amount3/payment_amount2
+	gen retention2=(payment_amount4)/payment_amount2
+	gen retention3=(payment_amount5)/payment_amount2
+	
+	gen renewing=0
+	replace renewing=1 if var13!=0 & var13!=.
+
+	gen age_x_treat=age_at_gift*treat
+	gen female_x_treat=female*treat
+	gen payment_pre_x_treat=payment_amount2*treat
+	gen var12_x_treat=var12*treat
+	gen income_x_treat=income*treat
+	
+	encode station, gen(station_id)
+	encode exec_date, gen(edate_dummy)
+	
+	bysort station_id: egen retention_mean=mean(retention)
+		
+	//Generate engagement dummies
+
+	gen reached=0 if treat==1
+	replace reached=1 if response_type=="POSENG" | response_type=="NEGENG" | response_type=="REACHED" | response_type=="LEFTMSG"
+	label var reached "Reached, 0/1 if treated"
+
+	gen positive_engagement=0 if treat==1
+	replace positive_engagement=1 if response_type=="POSENG"
+	label var positive_engagement "Positive, 0/1 if treated"
+
+	gen neutral_engagement=0 if treat==1
+	replace neutral_engagement=1 if response_type=="REACHED"
+	label var neutral_engagement "Positive, 0/1 if treated"
+
+	gen negative_engagement=0 if treat==1
+	replace negative_engagement=1 if response_type=="NEGENG"
+	label var negative_engagement "Negative, 0/1 if treated"
+
+	gen left_message=0 if treat==1
+	replace left_message=1 if response_type=="LEFTMSG"
+	label var left_message "Left Msg, 0/1 if treated"
+	
+	
+		
+	replace script=0 if script==. & treat!=. //script dummy stands for whether new script
+	gen treatment="control" if treat==0
+	replace treatment="call" if treat==1
+	replace treatment="new" if script==1
+	
+	
+	//The below creates script2 which is equal to 1 for new script and 0 otherwise
+	gen script2=script
+	replace script2=0 if treat==0
+	label var script2 "New Call Script"
+
+	
+	tab income, gen(inc_display)
+	tab age_at_gift, gen(age_display)
+	tab lorgroup, gen(lor_display)
+	
+	label var age_display1 "18 to 44 years old"
+	label var age_display2 "45 to 64 years old"
+	label var age_display3 "65+ years old"
+	label var inc_display4 "Income below $34,000"
+	label var inc_display3 "Income $35,000-$99,999"
+	label var inc_display1 "Income $100,000-$174,999"
+	label var inc_display2 "Income $175,000+"
+	label var lor_display1 "Residence length 5 years or less"
+	label var lor_display2 "Residence length 6-15 years"
+	label var lor_display3 "Residence length 16+ years"
+	
+	egen ii=group(station_id edate_dummy)
+	xtset ii //station_id
+	
+	label var payment_amount3 "Gift Amount"
+	label var payment_amount2 "Baseline Gift Amount"
+	label var var12 "Baseline Number of Gifts"
+	label var female "Female"
+	label var script "New Script Treatment"
+	label var treat "Call Treatment"
+	
+	order account_id station
+	********
+	save reshaped_temp_data_exp1_exp3, replace
+	********
+	
+	*final: 600,390, 71 - variables - verified
+	
+
+	
+use "gift.dta",clear
+	
+	
+ren treatment response_type
+ren paymentamounttransactions payment_amount
+gen var1=1 //counter for number of transactions
+ren id account_id
+
+gen treat="Control" if response_type=="Control"
+replace treat="Call" if response_type=="Called: Contacted" | response_type=="Called: Not Contacted"
+
+gen date=date(giftdatetransaction,"MD20Y")
+gen edate=date("4/1/2013","MDY")
+
+gen year=year(date)
+gen month=month(date)
+
+gen diff=edate-date //exec date minus date
+
+
+//Create timeline just like in the previous data
+
+	gen timeline=""
+	replace timeline="a_existing_donor" if date<edate-365.25 
+	replace timeline="b_year before" if date<=edate & date>edate-(365.25) 
+	replace timeline="c_year after" if date>=edate & date<edate+(365.25) 
+	replace timeline="two years after or more" if date>=edate+365.25+365.25 
+	replace timeline="na" if timeline==""
+	
+	save gift_exp2temp, replace
+
+	*erasing temp files
+	erase "transaction_temp.dta"
+	erase "callog_temp.dta" 
+	erase "demographics_temp.dta"
+	erase "treatments_temp.dta"

18/replication_package/thank_you_replication/dofiles/01_dataprep/step2_creating_exp1_2_3_dataset.do

@@ -0,0 +1,153 @@
+********************************************************************************
+*Purpose: Creating final analysis files for exp1, exp2 and exp3 which are used to create:
+*Figure 2 and Figure A2. 
+*Table 1, Table 2, Table A1, Table A2, Table A3, Table A4, Table A6
+  
+*Input Files: reshaped_temp_data_exp1_exp3.dta, gift_exp2temp.dta
+*Output Files: exp1_analysis_data.dta, exp2_analysis_data, exp3_analysis_data
+********************************************************************************
+
+cd "$dir/data"
+use reshaped_temp_data_exp1_exp3,clear
+
+**DROP MISSING PAYMENT AMOUNT 2
+drop if payment_amount2==0
+
+
+*Experiment 1
+*------------------------------
+	label var inc_display4 "\%Income below \\\$34,000"
+	label var inc_display3 "\%Income \\\$35,000-\\\$99,999"
+	label var inc_display1 "\%Income \\\$100,000-\\\$174,999"
+	label var inc_display2 "\%Income \\\$175,000+"
+	label var female_missing "Gender missing"
+	label var age_income_missing "Age/Income missing"
+	label var female "\%Female"
+	label var age_display1 "\%18 to 44 years old"
+	label var age_display2 "\%45 to 64 years old"
+	label var age_display3 "\%65+ years old"
+
+*donated and conditional outcome 
+		gen donated = 1 if var13>0 & !missing(var13)
+		replace donated=0 if var13==0
+		*generate gift conditional on donating 
+		gen gift_cond = payment_amount3 if payment_amount3>0
+		label var donated "Donated"
+		label var gift_cond "Gift Amount Conditional"
+		
+*redo residence length:
+replace lor_display2=1 if lor_display3==1
+	label var lor_display1 "\%Residence length$<$5 years"
+	label var lor_display2 "\%Residence length$>5$ years"
+	drop lor_display3
+
+	
+keep if exec_date!="1610" & exec_date!="1701"
+
+
+*This drop is to reconcile the treatment imbalance, we take out three stations with no control observations
+drop if station=="24" | station=="55" | station=="64" | station=="61"
+
+
+save exp1_analysis_data, replace
+	
+
+
+*Experiment 2
+*-----------------------
+clear
+use gift_exp2temp
+collapse (sum) payment_amount var1, by(timeline account_id treat response_type)
+encode timeline, gen(t)
+drop timeline
+
+	reshape wide payment_amount var1, i(account_id treat) j(t) 
+
+	drop if payment_amount1!=. //drop existing donors 
+
+	replace payment_amount2=0 if payment_amount2==.
+	replace payment_amount3=0 if payment_amount3==.
+	replace payment_amount4=0 if payment_amount4==.
+
+	replace var12=0 if var12==.
+	replace var13=0 if var13==.
+	replace var14=0 if var14==.
+	
+	gen retention=payment_amount3/payment_amount2
+	gen retention2=payment_amount4/payment_amount2
+	
+	gen renewing=0
+	replace renewing=1 if var13!=0
+
+*donated and conditional outcome 
+		gen donated = 1 if var13>0 & !missing(var13)
+		replace donated=0 if var13==0
+		*generate gift conditional on donating 
+		gen gift_cond = payment_amount3 if payment_amount3>0
+		label var donated "Donated"
+		label var gift_cond "Gift Amount Conditional"
+	
+rename treat treatment
+encode treatment, gen(treat)
+replace treat = 0 if treat==2
+
+label var payment_amount2 "Baseline Gift Amount"
+label var var12 "Baseline Number of Gifts" 
+label var renewing "\% Returning Donor"
+save exp2_analysis_data, replace 
+
+
+*Experiment 3
+clear
+use reshaped_temp_data_exp1_exp3
+
+**DROP MISSING PAYMENT AMOUNT 2
+drop if payment_amount2==0
+
+
+*redo residence length:
+replace lor_display2=1 if lor_display3==1
+	label var lor_display1 "\%Residence length$<$5 years"
+	label var lor_display2 "\%Residence length$>5$ years"
+	drop lor_display3
+	
+*labels for the latex file
+	label var inc_display4 "\%Income below \\\$34,000"
+	label var inc_display3 "\%Income \\\$35,000-\\\$99,999"
+	label var inc_display1 "\%Income \\\$100,000-\\\$174,999"
+	label var inc_display2 "\%Income \\\$175,000+"
+	label var female_missing "Gender missing"
+	label var age_income_missing "Age/Income missing"
+	label var female "\%Female"
+	label var age_display1 "\%18 to 44 years old"
+	label var age_display2 "\%45 to 64 years old"
+	label var age_display3 "\%65+ years old"
+	
+
+*donated and conditional outcome 
+		gen donated = 1 if var13>0 & !missing(var13)
+		replace donated=0 if var13==0
+		*generate gift conditional on donating 
+		gen gift_cond = payment_amount3 if payment_amount3>0
+		label var donated "Donated"
+		label var gift_cond "Gift Amount Conditional"
+
+*drop rules for Experiment 3, we only keep 1601
+gen exp3 = 1 if edate==td(01oct2016)
+replace exp3=0 if edate!=td(01oct2016)
+
+
+keep if exp3==1
+gen exp3_treat = 0 if script2==0 & treat==0
+replace exp3_treat=1 if script2==0 & treat==1
+replace exp3_treat=2 if script2==1 & treat==1
+
+
+*This drop is to reconcile the treatment imbalance, we take out three stations
+*with no control observations
+drop if station=="24" | station=="55" | station=="64" | station=="61"
+
+label define exp3_label 0 "Control" 1 "Old Script" 2 "New Script"
+label values exp3_treat exp3_label
+
+save exp3_analysis_data, replace

18/replication_package/thank_you_replication/dofiles/01_dataprep/step3_creating_charity_dataset.do

@@ -0,0 +1,108 @@
+/********************************************************************************
+* Purpose: This do file creates the dataset used for creation of
+Figure A3, Figure A4, Figure A5, Table A5 
+
+*Input Files: charity.xlsx
+*Output Files: charity.dta
+********************************************************************************/
+
+
+cd "$dir/data"
+import excel "charity.xlsx", firstrow clear
+
+//--------------------------------------------------------
+*clean outcome variables
+//--------------------------------------------------------
+*public tv exp 1
+rename Q12 exp1_percent
+rename Q14 exp1_amount
+*public tv with enhanced script exp3
+rename Q17 exp3_percent
+rename Q15 exp3_amount
+
+*non profit
+rename Q18 exp2_percent
+rename Q30 exp2_amount
+*confidence
+rename Q20 confidence
+
+*other variables
+rename Q7 org_program
+replace org_program="Other" if org_program=="Other:"
+encode org_program, gen(org_type)
+
+foreach var of varlist exp1_percent exp1_amount exp2_percent exp2_amount/*
+*/ exp3_percent exp3_amount confidence {
+	replace `var'="." if `var'=="-99"
+	destring `var', replace
+}
+gen exp1_percentactual=28
+gen exp1_amountactual=126.24
+gen exp2_percentactual=31
+gen exp2_amountactual=116.01
+gen exp3_percentactual=27
+gen exp3_amountactual=114.27
+
+gen num_correct=0
+foreach x of numlist 1/3  {
+	foreach var in amount percent {
+		label var exp`x'_`var' "Experiment `x' (`var')"
+		replace num_correct=num_correct+1 if exp`x'_`var'> (exp`x'_`var'actual-(0.05*exp`x'_`var'actual))/*
+		*/ & exp`x'_`var'<(exp`x'_`var'actual+(0.05*exp`x'_`var'actual))
+	}
+}
+
+count if !missing(exp1_percent) & !missing(exp1_amount)
+local num_1_char=r(N)
+count if !missing(exp2_percent) & !missing(exp2_amount)
+local num_2_char=r(N)
+count if !missing(exp3_percent) & !missing(exp3_amount)
+local num_3_char=r(N)
+
+
+//--------------------------------------------------------
+*cleaning some more variables
+//--------------------------------------------------------
+
+label var confidence "Confidence"
+label var num_correct "Number Correct"
+
+gen exp_org=1 if Q10=="Less than 1 year"
+gen exp_industry=1 if Q11=="Less than 1 year"
+replace exp_org=2 if Q10=="1-5 years"
+replace exp_industry=2 if Q11=="1-5 years"
+replace exp_org=3 if Q10=="6 or more years"
+replace exp_industry=3 if Q11=="6 or more years"
+label define experience 1 ">1 year" 2 "1-5 years" 3 "6+ years"
+label values exp_org experience
+label values exp_industry experience
+
+gen num_donations=1 if Q6=="100 to 999" | Q6=="Fewer than 100"
+replace num_donations=2 if Q6=="1,000 to 9,999"
+replace num_donations=3 if Q6=="10,000 to 99,999"
+replace num_donations=4 if Q6=="100,000+"
+
+gen does_calls = 1 if Q21=="Always" | Q21=="Often" | Q21=="Sometimes"
+replace does_calls=0 if Q21=="Rarely" | Q21=="Never"
+
+
+
+label var exp_org "Experience (organization)"
+label var exp_industry "Experience (industry)"
+label var does_calls "Does Calls"
+label var num_donations "No. of Donations"
+
+gen highexp_ind = 1 if exp_industry==3
+replace highexp_ind=0 if exp_industry==1 | exp_industry==2
+
+gen highexp_org=1 if exp_org==3
+replace highexp_org=0 if exp_org==1 | exp_org==2
+
+gen high_don=1 if num_donations==3 | num_donations==4
+replace high_don=0 if num_donations==1 | num_donations==2
+
+label var high_don "10k+ donations/year"
+label var highexp_org "Experience 5+ years (org.)"
+label var highexp_ind "Experience 5+ years (industry)"
+
+save "charity.dta",replace

18/replication_package/thank_you_replication/dofiles/01_dataprep/step4_creating_uas_dataset.do

@@ -0,0 +1,44 @@
+/********************************************************************************
+* Purpose: This do file creates the UAS dataset which is used for creation of 
+Figure A3 and Figure A4
+
+*Input Files: uas166.dta, uas24.dta
+*Output Files: uas_dataset.dta
+********************************************************************************/
+
+
+
+
+cd "$dir/data"
+use uas166, clear
+merge 1:1 uasid using uas24, keepusing(q453_ q454_)
+drop _merge
+gen donated_charity=1 if q454>=500 & !missing(q454)
+replace donated_charity=0 if q453==5 | q454<500 & !missing(q454)
+gen exp1_percentactual=28
+gen exp1_amountactual=126.24
+gen exp2_percentactual=31
+gen exp2_amountactual=116.01
+gen exp3_percentactual=27
+gen exp3_amountactual=114.27
+rename charity_q1cont exp1_percent
+rename charity_q2cont exp3_percent
+rename charity_q3cont exp2_percent
+rename charity_q1_nocall exp1_amount
+rename charity_q2_yescall exp3_amount
+rename charity_q3_nocall exp2_amount
+
+gen expall_percent=exp1_percent if !missing(exp1_percent)
+replace expall_percent=exp2_percent if !missing(exp2_percent)
+replace expall_percent=exp3_percent if !missing(exp3_percent)
+
+count if !missing(exp1_percent) & !missing(exp1_amount)
+local num_1_uas=r(N)
+count if !missing(exp2_percent) & !missing(exp2_amount)
+local num_2_uas=r(N)
+count if !missing(exp3_percent) & !missing(exp3_amount)
+local num_3_uas=r(N)
+
+gen num_correct=0
+
+save "uas_dataset",replace

18/replication_package/thank_you_replication/dofiles/01_dataprep/step5_creating_forecast_sample_figure2.do

@@ -0,0 +1,152 @@
+/********************************************************************************
+* Purpose: This do file creates the dataset to be used for creation of Figure 2 
+
+*Input Files: charity.dta, exp1_analysis_data.dta, exp2_analysis_data, exp3_analysis_data, 
+uas_dataset.dta
+*Temp Files: charity_temp.dta
+*Output Files: forecast_charity.dta
+********************************************************************************/
+
+
+cd "$dir/data"
+
+***creating charity_temp
+
+use "charity",clear
+
+*proportion correct 
+foreach x of numlist 1/3 {
+summarize exp`x'_percentactual
+gen exp`x'_percentcorr=1 if exp`x'_percent<=(r(mean) + .05*r(mean)) & exp`x'_percent>=(r(mean) - .05*r(mean))
+summarize exp`x'_amountactual
+gen exp`x'_amountcorr=1 if exp`x'_amount<=(r(mean) + .05*r(mean)) & exp`x'_amount>=(r(mean) - .05*r(mean))
+replace exp`x'_percentcorr=0 if !missing(exp`x'_percent) & missing(exp`x'_percentcorr)
+replace exp`x'_amountcorr=0 if !missing(exp`x'_amount) & missing(exp`x'_amountcorr)
+}
+//--------------------------------------------------------
+*Charity predicted vs actual gaps
+//--------------------------------------------------------
+
+foreach x of numlist 1/3 {
+gen exp`x'_gapamount = exp`x'_amount - exp`x'_amountactual
+gen exp`x'_gappercent= exp`x'_percent - exp`x'_percentactual
+}
+egen gap_amount= rowmean(exp*_gapamount)
+egen gap_percent = rowmean(exp*_gappercent)
+
+label var gap_amount "Overprediction (amount)"
+label var gap_percent "Overprediction (percent)"
+
+
+   
+collapse (mean) exp1_* exp2_* exp3_* confidence (semean) exp1_percent_se=exp1_percent/*
+*/ exp1_amount_se=exp1_amount exp2_percent_se=exp2_percent exp3_percent_se=exp3_percent/*
+*/ exp2_amount_se=exp2_amount exp3_amount_se=exp3_amount
+
+foreach x of numlist 1/3 {
+	foreach var in amount percent percent_se amount_se {
+	rename exp`x'_`var' `var'`x'
+	}
+}
+
+
+gen x=1
+reshape long amount percent percent_se amount_se, i(x) j(exp)
+
+gen hi_amount=amount+(amount_se*2)
+gen hi_percent=percent+(percent_se*2)
+gen lo_amount=amount-(amount_se*2)
+gen lo_percent=percent-(percent_se*2)
+gen proj=2
+
+
+save "charity_temp.dta", replace
+
+***adding in actual values
+
+*--------------------------------------------------------
+*Experimental Sample
+*--------------------------------------------------------
+foreach x of numlist 1/3 {
+use exp`x'_analysis_data, clear
+gen amount=payment_amount3 if renewing==1
+
+*grab obsv for table
+count if !missing(amount)
+local num_`x'_exp=r(N)
+
+collapse (mean) amount renewing (semean) percent_se=renewing/*
+*/ amount_se=payment_amount2, by(treat)
+rename renewing percent
+replace percent=100*percent
+replace percent_se=100*percent_se
+gen hi_amount=amount+(amount_se*2)
+gen hi_percent=percent+(percent_se*2)
+gen lo_amount=amount-(amount_se*2)
+gen lo_percent=percent-(percent_se*2)
+gen proj=1 if treat==0
+replace proj=1.5 if treat==1
+gen exp=`x'
+append using charity_temp
+save charity_temp, replace
+}
+
+
+
+*--------------------------------------------------------
+*Adding to UAS Sample*
+*--------------------------------------------------------
+cd "$dir/data"
+use uas_dataset, clear
+
+*proportion correct guessing by experiment
+foreach x of numlist 1/3 {
+summarize exp`x'_percentactual
+gen exp`x'_percentcorr=1 if exp`x'_percent<=(r(mean) + .05*r(mean)) & exp`x'_percent>=(r(mean) - .05*r(mean))
+summarize exp`x'_amountactual
+gen exp`x'_amountcorr=1 if exp`x'_amount<=(r(mean) + .05*r(mean)) & exp`x'_amount>=(r(mean) - .05*r(mean))
+replace exp`x'_percentcorr=0 if !missing(exp`x'_percent) & missing(exp`x'_percentcorr)
+replace exp`x'_amountcorr=0 if !missing(exp`x'_amount) & missing(exp`x'_amountcorr)
+}
+
+foreach x of numlist 1/3  {
+label var exp`x'_percent "Experiment `x' (percent)"
+label var exp`x'_amount "Experiment `x' (amount)"
+replace num_correct=num_correct+1 if exp`x'_percent> (exp`x'_percentactual-(0.05*exp`x'_percentactual))/*
+		*/ & exp`x'_percent<(exp`x'_percentactual+(0.05*exp`x'_percentactual))
+	
+	}
+	
+label var num_correct "Number Correct"
+
+drop exp*actual
+   
+
+collapse (mean) exp1_* exp2_* exp3_* (semean) exp1_percent_se=exp1_percent/*
+*/  exp2_percent_se=exp2_percent exp3_percent_se=exp3_percent exp1_amount_se=exp1_amount/*
+*/  exp2_amount_se=exp2_amount exp3_amount_se=exp3_amount 
+
+foreach x of numlist 1/3 {
+	foreach var in percent percent_se amount amount_se{
+	rename exp`x'_`var' `var'`x'
+	}
+}
+
+gen x=1
+reshape long percent percent_se amount amount_se, i(x) j(exp)
+replace exp=1 if exp==4
+replace exp=2 if exp==5
+replace exp=3 if exp==6
+
+gen hi_percent=percent+(percent_se*2)
+gen lo_percent=percent-(percent_se*2)
+gen hi_amount=amount+(amount_se*2)
+gen lo_amount=amount-(amount_se*2)
+
+gen proj=2.5
+
+append using charity_temp
+
+save "forecast_charity",replace
+
+erase "$dir/data/charity_temp.dta"

18/replication_package/thank_you_replication/dofiles/01_dataprep/step6_creating_charity_round2.do

@@ -0,0 +1,145 @@
+/********************************************************************************
+* Purpose: This do file creates the charity dataset to be used for analysis of the
+second round of surveys.
+
+This dataset is used in the creation of Figure A6
+
+*Input Files: spi2019_practitioner.xlsx, experiment_data.xlsx, charity_more_questions.csv
+*Temp Files: spi_2019.dta actual_experiment_data.dta spi_mailinglist.dta charity_morequestions.dta 
+*Output Files: charity_round2.dta
+********************************************************************************/
+
+cd "$dir/data"
+
+**cleaning SPI Practitioner data
+
+import excel "spi2019_practitioner.xlsx", sheet("Sheet1") firstrow clear
+gen version="spi2019"
+rename door_1 volunteer_1 
+rename door_3 volunteer_2 
+rename door_2 volunteer_3
+rename door_4 volunteer_4
+rename door_confidence volunteer_confidence
+foreach x in 1 2 3 confidence {
+rename announcements_`x' door_`x'
+rename callingin_`x' calling_`x'
+}
+
+gen do_door=1 if inlist(solicitation_activities,"1")
+gen do_mail =1 if inlist(solicitation_activities,"2")
+gen do_call=1 if inlist(solicitation_activities,"3")
+gen do_match=1 if inlist(solicitation_activities,"4")
+gen do_gift=1 if inlist(solicitation_activities,"5")
+gen do_premium=1 if inlist(solicitation_activities,"6")
+gen do_paid=1 if inlist(solicitation_activities,"7")
+gen do_volunteer =1 if inlist(solicitation_activities,"8")
+
+save "spi_2019.dta", replace 
+
+**saving actual experiment data
+
+import excel "experiment_data.xlsx", firstrow clear
+gen tempid=1
+save "actual_experiment_data", replace 
+
+**saving SPI data from mailings
+
+import delimited "spi_mailing_list.csv", varnames(1) clear
+gen version="spi_mail"
+save "spi_mailinglist.dta", replace 
+
+**saving Fundraising Professionals Survey
+
+import delimited "charity_more_questions.csv", varnames(1) clear
+save charity_morequestions, replace
+
+//-------------------------
+*forecast 
+//-------------------------
+use charity_morequestions,clear
+local today td(12march2020)
+local future td(20march2020)
+
+
+//-------------------------------------
+*make charts
+//--------------------------------------
+gen version="main_run"
+append using "spi_mailinglist.dta"
+
+*renaming variables
+rename q17_3 mail_1
+rename q17_4 mail_2
+rename q15_8 mail_3
+rename q15_6 mail_4
+rename q59_1 mail_confidence
+rename q50 mail_read
+
+rename q54_2 volunteer_1
+rename q55_1 volunteer_2
+rename v54   volunteer_3
+rename q56_1 volunteer_4
+rename q62_1 volunteer_confidence
+rename q49 volunteer_read
+
+rename q18_3 calling_1
+rename q18_4 calling_2
+rename q18_5 calling_3
+rename q60_1 calling_confidence
+rename q48 calling_read
+
+rename q51_2 matching_1
+rename q51_3 matching_2
+rename q51_4 matching_3
+rename q52_5 matching_4
+rename q52_6 matching_5
+rename q52_7 matching_6
+rename q61_1 matching_confidence
+rename q44 matching_read
+
+rename q12_9 door_1
+rename q14_3 door_2
+rename q53_4 door_3
+rename q58_1 door_confidence
+rename q46 door_read
+
+rename v76 agency_1
+rename v77 agency_2
+rename v78 agency_3
+rename q63_1 agency_4
+rename v80 agency_confidence
+rename q47 agency_read
+
+
+foreach var in mail volunteer calling matching door agency {
+	foreach x of numlist 1/6 {
+		capture destring `var'_`x', replace
+	}
+	destring `var'_confidence, replace
+}
+
+append using "spi_2019.dta"
+
+
+replace do_door=1 if !missing(q67_7)
+replace do_mail =1 if !missing(q67_8)
+replace do_match=1 if !missing(q67_1)  
+replace do_gift=1 if !missing(q67_5)
+replace do_premium=1 if !missing(q67_6)
+replace do_paid=1 if !missing(q67_4)
+replace do_volunteer =1  if !missing(q67_3)
+gen do_info=1 if !missing(q67_9)
+gen do_agency=1 if !missing(q67_12)
+
+*load in actual values
+gen tempid=1
+merge m:1 tempid using "actual_experiment_data"
+drop _merge tempid
+save "charity_round2",replace
+
+*erasing temp files
+
+erase "spi_2019.dta"
+erase "spi_mailinglist.dta"
+erase "charity_morequestions.dta" 
+erase "actual_experiment_data.dta" 

18/replication_package/thank_you_replication/dofiles/02_analysis/Figure1_giving_cumprob.do

@@ -0,0 +1,50 @@
+********************************************************************************
+*Purpose: This do file creates Figure 1
+*Input Files: temp_data_exp1_exp3.dta
+*Output Files: figure1_giving_cumprob.pdf
+********************************************************************************
+
+
+clear
+cd "$dir/data"
+
+use temp_data_exp1_exp3, clear
+
+***cleaning dataset
+
+keep if date>=td(01jul2011) & date<=td(31oct2017)
+keep if exec_date!="1610" & exec_date!="1701" 
+drop if station=="24" | station=="55" | station=="64" | station=="61"
+
+count if treat==1
+local treat_group = 445641
+count if treat==0
+local control_group=55434
+gen gift=1
+gen monthyear = mofd(date)
+format monthyear %tmMonCCYY
+format date %td
+gen weeks_since_edate=round((date - edate)/7)
+
+
+cd "$dir/latex"
+
+keep if weeks_since_edate>0
+sort account_id weeks_since_edate
+		by account_id: gen dup=_n
+		drop if dup>1
+
+collapse(sum) gift if weeks_since_edate<=260, by(weeks_since_edate treat)
+tsset treat weeks_since_edate
+sort treat weeks_since_edate
+by treat: gen cum_gift_amount=sum(gift)
+replace cum_gift_amount=cum_gift_amount/`treat_group' if treat==1
+replace cum_gift_amount=cum_gift_amount/`control_group' if treat==0
+
+***creating figure 
+
+twoway (line cum_gift_amount weeks_since_edate if treat==1 , lcolor(red) lwidth(med))/*
+*/ (line cum_gift_amount weeks_since_edate if treat==0 , lpattern(shortdash) lcolor(blue) lwidth(med)),/*
+*/ legend(order(1 "Treatment" 2 "Control")) ytitle("Cum. Prob. Donating") xlabel(0 (25) 260) xtitle("Weeks from Treatment")/*
+*/ graphregion(color(white)) bgcolor(white) 
+graph export "figure1_giving_cumprob.pdf", as(pdf) font("Times New Roman") replace

18/replication_package/thank_you_replication/dofiles/02_analysis/Figure2_forecast_graph.do

@@ -0,0 +1,67 @@
+********************************************************************************
+*Purpose: This do file creates Figure 1
+*Input Files: forecast_charity.dta
+*Temp Files: block11.gph, block21.gph, block31.gph, block12.gph, block22.gph, block32.gph, figure2_forecast_graph.gph
+*Output Files: figure2_forecast_graph.eps
+********************************************************************************
+
+cd "$dir/data"
+use forecast_charity, clear
+
+*Saving values 
+foreach x of numlist 1/3 {
+summarize percent if proj==1.5 & exp==`x'
+local exp`x'_perc=r(mean)
+summarize amount if proj==1.5 & exp==`x'
+local exp`x'_am=r(mean)
+local lo_perc`x'=`exp`x'_perc' - 0.05*`exp`x'_perc'
+local hi_perc`x'=`exp`x'_perc' + 0.05*`exp`x'_perc'
+local lo_am`x'=`exp`x'_am' - 0.05*`exp`x'_am'
+local hi_am`x'=`exp`x'_am' + 0.05*`exp`x'_am'
+}
+
+
+//-----------------------------------
+* Forecast Graphs
+//-----------------------------------
+cd "$dir/latex"
+foreach x of numlist 1/3 {
+*percent graph
+capture erase block`x'1.gph
+twoway (bar percent proj if exp==`x' & proj==1, barwidth(0.40) fcolor(none)/*
+*/ lcolor(black))(bar percent proj if exp==`x' & proj==1.5, barwidth(0.40) fcolor(emerald)/*
+*/ lcolor(black))(bar percent proj if exp==`x' & proj==2, barwidth(0.40) fcolor(ltblue)/*
+*/ lcolor(black)) (bar percent proj if exp==`x' & proj==2.5, barwidth(0.40) fcolor(blue)/*
+*/ lcolor(black)) (rcap hi_percent lo_percent proj if exp==`x', lcolor(red)),/*
+*/ xlabel(1 "Control" 1.5 "Treatment" 2 "Experts" 2.5 "Nonexperts", labsize(small))/*
+*/ ytitle("Percentage Donating (%)") xtitle("")  ysca(axis(1) r(0 55)) ylab(0(20)55, nogrid) /* 
+*/ graphregion(color(white)) legend(off) saving(block`x'1.gph,replace) title("Experiment `x': % Donating", size(small))
+
+*amount graph
+capture erase block`x'2.gph
+twoway (bar amount proj if exp==`x' & proj==1, barwidth(0.40) fcolor(none)/*
+*/ lcolor(black)) (bar amount proj if exp==`x' & proj==1.5, barwidth(0.40) fcolor(emerald)/*
+*/ lcolor(black)) (bar amount proj if exp==`x' & proj==2, barwidth(0.40) fcolor(ltblue)/*
+*/ lcolor(black)) (bar amount proj if exp==`x' & proj==2.5, barwidth(0.40) fcolor(blue)/*
+*/ lcolor(black)) (rcap hi_amount lo_amount proj if exp==`x', lcolor(red)),/*
+*/ xlabel(1 "Control" 1.5 "Treatment" 2 "Experts" 2.5 "Nonexperts", labsize(small))/*
+*/ ysca(axis(1) r(0 175)) ylab(0(40)175, nogrid) ytitle("Gift amount ($)") xtitle("") /* 
+*/ title("Experiment `x': Gift Amount", size(small)) graphregion(color(white)) legend(off) saving(block`x'2.gph,replace)
+}
+
+
+capture erase forecast_graph.gph
+graph combine block11.gph block12.gph/*
+*/ block21.gph block22.gph block31.gph block32.gph, rows(3) cols(2) graphregion(color(white))/*
+*/ saving(figure2_forecast_graph.gph, replace) ysize(7)
+graph export figure2_forecast_graph.eps, as(eps) preview(on) replace
+
+**erasing temp files 
+
+foreach x of numlist 1/3 {
+	capture erase block`x'1.gph
+	capture erase block`x'2.gph
+	
+}
+
+capture erase figure2_forecast_graph.gph

18/replication_package/thank_you_replication/dofiles/02_analysis/Figure3_obs_pred_don_rates.do

@@ -0,0 +1,102 @@
+********************************************************************************
+*Purpose: This do file creates Figure 3
+*Input Files: charity_round2.dta
+*Output Files: figure3_obs_pred_don_rates.pdf
+********************************************************************************
+
+
+cd "$dir/data"
+use "charity_round2", clear
+
+*creating globals 
+
+global donation_rates mail_1 mail_2 door_1 door_2 door_3 matching_1 matching_2 matching_3 volunteer_1 volunteer_2 agency_1 agency_3
+global cond_amounts mail_3 mail_4 volunteer_3 volunteer_4 calling_1 calling_2 calling_3 matching_4 matching_5 matching_6 agency_2 agency_4
+
+*Generating Predicted and Observed Effects
+
+foreach var of varlist $cond_amounts $donation_rates {
+	gen peffect_`var'=`var' - `var'_control
+	gen aeffect_`var'=`var'_actual - `var'_control
+	gen sepeffect_`var'=`var' - `var'_control
+}
+
+
+*gen se for actual obsv, donation rates
+foreach var of varlist $donation_rates {
+summarize `var'_actual
+local success1=r(mean)/100
+summarize `var'_control
+local success2=r(mean)/100
+di `success1'
+di `success2'
+di (`success1'*(1-`success1'))*(`success2'^2)
+gen seaeffect_`var'=sqrt(((`success1'*(1-`success1'))/`var'_nactual) + ((`success2'*(1-`success2'))/`var'_ncontrol))
+replace seaeffect_`var'=seaeffect_`var'*100
+
+}
+
+
+
+*gen se for actual obsv, cond amounts
+foreach var of varlist $cond_amounts {
+gen seaeffect_`var'=sqrt((`var'_seactual)^2 + (`var'_secontrol)^2)
+}
+
+
+foreach var of varlist $donation_rates $cond_amounts {
+	gen treatment_`var'=`var'_actual
+}
+
+
+collapse (mean) aeffect_* peffect_* seaeffect_* treatment_* (semean) sepeffect_* 
+
+
+local count=1
+foreach var in $donation_rates $cond_amounts {
+	rename peffect_`var' peffect`count'
+	rename sepeffect_`var' sepeffect`count'
+	rename aeffect_`var' aeffect`count'
+	rename seaeffect_`var' seaeffect`count'
+	rename treatment_`var' treatment`count'
+	local count=`count'+1
+}
+
+*reshaping for graph 
+
+gen id=1
+reshape long peffect aeffect sepeffect seaeffect treatment control forecast/*
+*/ setreatment secontrol seforecast, j(experiment) i(id)
+drop id
+
+*generating CI
+
+gen hi_p = peffect + 1.96*sepeffect
+gen lo_p = peffect - 1.96*sepeffect
+gen hi_a = aeffect + 1.96*seaeffect
+gen lo_a = aeffect - 1.96*seaeffect
+
+
+
+gen y=0
+
+keep if experiment<=12 & experiment!=3 & experiment!=5 & experiment!=10 & experiment!=9
+replace experiment=experiment-3 if experiment>=6 & experiment<=8
+replace experiment=6 if experiment==4 & treatment==5
+replace experiment=experiment-4 if experiment>=11
+
+label define experiment4 1 "(Falk,2007) 1 Gift" 2 "(Falk,2007) 4 Gifts" /*
+	*/ 3 "(Karlan & List, 2007) 1:1 Match" 4 "(Karlan & List, 2007) 2:1 Match" 5 "(Karlan & List, 2007) 3:1 Match" 6 "(DellaVigna et al.,2012) Opt-out" 7  "(Kessler et al., 2019) Overall" 8 "(Kessler et al., 2019) Rich & Powerful"
+
+	
+	label values experiment experiment4
+
+twoway (scatter peffect experiment, msize(small) mfcolor(black) mlcolor(black) )/*
+*/ (scatter aeffect experiment, msize(small) mfcolor(none) mlcolor(gray)) /*
+*/ (rcap hi_p lo_p experiment, lcolor(black)) (rcap hi_a lo_a experiment, lcolor(gray)) (line y experiment, lpattern(dash)),/*
+*/ ytitle("Change in % Donated") xtitle("") legend(order(1 "Predicted Effect" 2 "Observed Effect"))/*
+*/ graphregion(color(white)) xlabel(#8,valuelabel labsize(vsmall) angle(25))
+
+cd "$dir/latex"
+graph export figure3_obs_pred_don_rates.pdf, replace
+

18/replication_package/thank_you_replication/dofiles/02_analysis/Table1_balance_table.do

@@ -0,0 +1,322 @@
+********************************************************************************
+*Purpose: This do file creates Table 1
+*Input Files: exp1_analysis_data, exp2_analysis_data, exp3_analysis_data
+*Output Files: table1_balance_table.tex
+********************************************************************************
+
+
+cd "$dir/data"
+use exp1_analysis_data, clear
+	
+foreach var of varlist var12 payment_amount2 {
+ranksum `var', by(treat) porder
+*Mann Whitney doesn't save p-value, so have to calculate from z with 2 * normprob(-abs(r(z)))
+local `var'_p = 2 * normprob(-abs(r(z)))
+summarize `var' if treat==0
+local `var'_cntrl_mean = r(mean)
+local `var'_cntrl_se= (r(sd)/(sqrt(r(N))))
+summarize `var' if treat==1
+local `var'_treat_mean = r(mean)
+local `var'_treat_se=(r(sd)/(sqrt(r(N))))
+}
+
+foreach var of varlist female age_display* inc_display* lor_display* female_missing age_income_missing {
+tabulate `var' treat, chi2
+local `var'_p = r(p)
+summarize `var' if treat==0
+local `var'_cntrl_mean = r(mean)*100
+local `var'_cntrl_se= (r(sd)/(sqrt(r(N))))*100
+summarize `var' if treat==1
+local `var'_treat_mean = r(mean)*100
+local `var'_treat_se=(r(sd)/(sqrt(r(N))))*100
+}
+
+foreach var of varlist var12 payment_amount2 female age_display* inc_display* lor_display* female_missing age_income_missing {
+*add significance stars
+if ``var'_p'>.01 {
+	local `var'_star=""
+			}
+if ``var'_p' <= .1 & ``var'_p' > .05 {
+		local `var'_star="*"
+		}
+	if ``var'_p' <= .05 & ``var'_p' > .01 {
+		local `var'_star="**"
+		}
+	if ``var'_p' <= .01 {
+		local `var'_star="***"
+		}
+}
+
+label var left_message "\%Left Message"
+		label var positive_engagement "\%Positive Engagement"
+		label var negative_engagement "\%Negative Engagement"
+		label var neutral_engagement "\%Neutral Engagement"
+		
+foreach var of varlist reached left_message positive_engagement neutral_engagement negative_engagement {
+summarize `var' 
+				local `var'_treat_mean = r(mean)*100
+				local `var'_treat_se=(r(sd)/(sqrt(r(N))))*100
+}
+label var reached "\% Reached"
+
+
+count if treat==1
+local num_treat_mean = r(N)
+gen num = r(N)
+label var num "N"
+count if treat==0
+local num_cntrl_mean = r(N)
+
+cd "$dir/latex"
+file open fh using "table1_balance_table.tex", write replace
+		file write fh "\begin{subtable}[t]{\linewidth}" _n ///
+			"\centering" _n ///
+			"\vspace{0pt}" _n ///
+			"\caption{Experiment 1: Public Television Stations}" _n ///
+			"\begin{tabular}{l c c c}" _n ///
+			"& \multicolumn{1}{c}{Treatment} & \multicolumn{1}{c}{Control} & \multicolumn{1}{c}{p-value}\\" _n ///
+			"\hline" _n ///
+			"\hline" _n 
+
+	
+foreach var of varlist payment_amount2 var12 female age_display* inc_display4/*
+*/ inc_display3 inc_display1 inc_display2  {
+			
+			
+
+
+			file write fh "\hspace{4mm}"`"`: var label `var''"'" & " %4.2f (``var'_treat_mean') " & " %4.2f (``var'_cntrl_mean') " & " %4.2f (``var'_p') "``var'_star' \\" _n 
+			file write fh " &  (" %4.2f (``var'_treat_se') ") & (" %4.2f (``var'_cntrl_se') ") & \\" _n  
+			
+			}
+			
+			foreach var of varlist reached left_message positive_engagement neutral_engagement negative_engagement num {
+				
+				if `var'== num {
+			file write fh "\hline" _n
+			file write fh "\hspace{4mm}"`"`: var label `var''"'" & " %15.0fc (``var'_treat_mean') " & " %15.0fc (``var'_cntrl_mean') " & \\" _n 
+			}
+			
+			else{
+			file write fh "\hspace{4mm}"`"`: var label `var''"'" & " %4.2f (``var'_treat_mean') " & & \\" _n 
+			file write fh " &  (" %4.2f (``var'_treat_se') ") & & \\" _n  
+			}
+			}
+			
+file write fh "\hline" _n ///
+			  "\hline" _n ///
+			  "\vspace{0pt}" _n
+file write fh "\end{tabular}" _n
+
+*Experiment 2
+*-----------------------
+clear
+cd "$dir/data"
+use exp2_analysis_data, replace 
+
+
+foreach var of varlist payment_amount2 var12 {
+ranksum `var', by(treat) porder
+local `var'_p = 2 * normprob(-abs(r(z)))
+summarize `var' if treat==0
+local `var'_cntrl_mean = r(mean)
+local `var'_cntrl_se= (r(sd)/(sqrt(r(N))))
+summarize `var' if treat==1
+local `var'_treat_mean = r(mean)
+local `var'_treat_se=(r(sd)/(sqrt(r(N))))
+}
+
+foreach var of varlist renewing {
+tabulate `var' treat, chi2
+local `var'_p = r(p)
+summarize `var' if treat==0
+local `var'_cntrl_mean = r(mean)*100
+local `var'_cntrl_se= (r(sd)/(sqrt(r(N))))*100
+summarize `var' if treat==1
+local `var'_treat_mean = r(mean)*100
+local `var'_treat_se=(r(sd)/(sqrt(r(N))))*100
+}
+
+foreach var of varlist var12 payment_amount2 renewing {
+*add significance stars
+if ``var'_p'>.1 {
+	local `var'_star=""
+			}
+if ``var'_p' <= .1 & ``var'_p' > .05 {
+		local `var'_star="*"
+		}
+	if ``var'_p' <= .05 & ``var'_p' > .01 {
+		local `var'_star="**"
+		}
+	if ``var'_p' <= .01 {
+		local `var'_star="***"
+		}
+}
+
+count if treat==1
+local num_treat_mean = r(N)
+gen num = r(N)
+label var num "N"
+count if treat==0
+local num_cntrl_mean = r(N)
+
+gen reached = 1 if response_type == "Called: Contacted"
+		replace reached=0 if response_type=="Called: Not Contacted"
+		foreach var of varlist reached  {
+				summarize `var' 
+				local `var'_treat_mean = r(mean)*100
+				local `var'_treat_se=(r(sd)/(sqrt(r(N))))*100
+		}
+						label var reached "\% Reached"
+
+						file write fh "\caption{Experiment 2: National Non-Profit}" _n ///
+			"\vspace{0pt}" _n ///
+			"\begin{tabular}{l c c c}" _n ///
+			"& \multicolumn{1}{c}{Treatment} & \multicolumn{1}{c}{Control} & \multicolumn{1}{c}{p-value}\\" _n ///
+			"\hline" _n ///
+			"\hline" _n 
+			
+foreach var of varlist payment_amount2 var12  {
+
+		
+
+			file write fh "\hspace{4mm}"`"`: var label `var''"'" & " %4.2f (``var'_treat_mean') " & " %4.2f (``var'_cntrl_mean') " & " %4.2f (``var'_p') "``var'_star' \\" _n 
+			file write fh " &  (" %4.2f (``var'_treat_se') ") & (" %4.2f (``var'_cntrl_se') ") & \\" _n  
+			
+			}
+			
+			
+			foreach var of varlist reached num{
+			
+				if `var'== num {
+			file write fh "\hline" _n
+			file write fh "\hspace{4mm}"`"`: var label `var''"'" & " %15.0fc (``var'_treat_mean') " & " %15.0fc (``var'_cntrl_mean') " & \\" _n 
+			}
+			
+			else{
+				file write fh "\hspace{4mm}"`"`: var label `var''"'" & " %4.2f (``var'_treat_mean') " \\" _n 
+			file write fh " &  (" %4.2f (``var'_treat_se') ") \\" _n  
+			}
+			}
+		
+
+		file write fh	"\hline" _n ///
+			"\hline" _n ///
+			"\vspace{0pt}" _n
+file write fh "\end{tabular}" _n
+file write fh "\end{subtable}" _n
+file write fh "\end{table}" _n
+file write fh "\pagebreak" _n
+file write fh "\begin{table}[t]" _n
+file write fh "\ContinuedFloat" _n
+file write fh "\caption{Balance Table, cont.}" _n
+file write fh "\begin{subtable}[t]{\linewidth}" _n
+
+*Experiment 3
+clear
+cd "$dir/data"
+use exp3_analysis_data, replace
+
+file write fh "\caption{Experiment 3: Public Television, New Script}" _n ///
+			"\vspace{0pt}" _n ///
+			"\begin{tabular}{l c c c c}" _n ///
+			"& \multicolumn{1}{c}{New Script} & \multicolumn{1}{c}{Original Script} & \multicolumn{1}{c}{Control} & \multicolumn{1}{c}{p-value}\\" _n ///
+			"\hline" _n ///
+			"\hline" _n 
+
+	
+foreach var of varlist var12 payment_amount2 female age_display* inc_display* /*
+*/lor_display* female_missing age_income_missing{
+oneway `var' exp3_treat 
+local `var'_p = string(Ftail(r(df_m), r(df_r), r(F)), "%9.2f")
+
+if `var'==var12 | `var'==payment_amount2 {
+local scalar=1 
+}
+else {
+local scalar=100
+}
+summarize `var' if exp3_treat==0
+local `var'_cntrl_mean = r(mean)*`scalar'
+local `var'_cntrl_se= (r(sd)/(sqrt(r(N))))*`scalar'
+summarize `var' if exp3_treat==1
+local `var'_treat1_mean = r(mean)*`scalar'
+local `var'_treat1_se=(r(sd)/(sqrt(r(N))))*`scalar'
+summarize `var' if exp3_treat==2
+local `var'_treat2_mean = r(mean)*`scalar'
+local `var'_treat2_se=(r(sd)/(sqrt(r(N))))*`scalar'
+
+*add significance stars
+if ``var'_p'>.1 {
+	local `var'_star=""
+			}
+if ``var'_p' <= .1 & ``var'_p' > .05 {
+		local `var'_star="*"
+		}
+	if ``var'_p' <= .05 & ``var'_p' > .01 {
+		local `var'_star="**"
+		}
+	if ``var'_p' <= .01 {
+		local `var'_star="***"
+		}
+}
+
+count if exp3_treat==1
+local num_treat1_mean = r(N)
+gen num = r(N)
+label var num "N"
+count if treat==0
+local num_cntrl_mean = r(N)
+count if exp3_treat==2
+local num_treat2_mean = r(N)
+
+label var left_message "\%Left Message"
+		label var positive_engagement "\%Positive Engagement"
+		label var negative_engagement "\%Negative Engagement"
+		label var neutral_engagement "\%Neutral Engagement"
+
+		foreach var of varlist reached left_message positive_engagement neutral_engagement negative_engagement female age_display* inc_display* {
+			    summarize `var' if exp3_treat==0
+				local `var'_cntrl_mean = r(mean)*100
+				local `var'_cntrl_se=(r(sd)/(sqrt(r(N))))*100
+				
+				summarize `var' if exp3_treat==1
+				local `var'_treat1_mean = r(mean)*100
+				local `var'_treat1_se=(r(sd)/(sqrt(r(N))))*100
+				summarize `var' if exp3_treat==2
+				local `var'_treat2_mean = r(mean)*100
+				local `var'_treat2_se=(r(sd)/(sqrt(r(N))))*100
+				}
+		
+			label var reached "\% Reached"
+
+			
+foreach var of varlist payment_amount2 var12 female age_display* inc_display4/*
+*/ inc_display3 inc_display1 inc_display2   {
+			
+			file write fh "\hspace{4mm}"`"`: var label `var''"'" & " %4.2f (``var'_treat2_mean') " & " %4.2f (``var'_treat1_mean') " & " %4.2f (``var'_cntrl_mean') " & " %4.2f (``var'_p') "``var'_star' \\" _n 
+			file write fh " &  (" %4.3f (``var'_treat2_se') ") & (" %4.2f (``var'_treat1_se') ") & (" %4.2f (``var'_cntrl_se') ") & \\" _n  
+		
+			}
+			
+foreach var of varlist reached left_message positive_engagement neutral_engagement negative_engagement num {
+	
+	if `var'== num {
+			file write fh "\hline" _n
+			file write fh "\hspace{4mm}"`"`: var label `var''"'" & " %15.0fc (``var'_treat2_mean') " & " %15.0fc (``var'_treat1_mean') " & " %15.0fc (``var'_cntrl_mean') " & \\" _n 
+			}
+			
+			else {
+				file write fh "\hspace{4mm}"`"`: var label `var''"'" & " %4.2f (``var'_treat2_mean') " & " %4.2f (``var'_treat1_mean') " \\" _n 
+			file write fh " &  (" %4.2f (``var'_treat2_se') ") & (" %4.2f (``var'_treat1_se') ")  \\" _n  
+		 }
+}
+				
+			
+			
+file write fh "\hline" _n ///
+			"\hline" _n 
+file write fh "\end{tabular}" _n
+file write fh "\end{subtable}" _n
+
+file close fh 

18/replication_package/thank_you_replication/dofiles/02_analysis/Table2_treatment_effects.do

@@ -0,0 +1,235 @@
+********************************************************************************
+*Purpose: This do file creates Table 2
+*Input Files: exp1_analysis_data, exp2_analysis_data, exp3_analysis_data
+*Output Files: table2_treatment_effects.tex
+********************************************************************************
+
+foreach experiment in 1 2 3 {
+clear
+cd "$dir/data"
+use exp`experiment'_analysis_data
+
+if `experiment'==1 {
+cd "$dir/latex"
+file open fh using "table2_treatment_effects.tex", write replace
+
+		file write fh "\begin{subtable}[t]{\linewidth}" _n ///
+			"\centering" _n ///
+			"\vspace{0pt}" _n ///
+			"\caption{Experiment 1: Public Television Stations}" _n ///
+			"\begin{tabular}{l c c c c}" _n ///
+			"& \multicolumn{1}{c}{Treatment} & \multicolumn{1}{c}{Control} & \multicolumn{1}{c}{p-value} & \multicolumn{1}{c}{}\\" _n ///
+			"\hline" _n ///
+			"\hline" _n 
+}
+
+if `experiment'==2 {
+	file write fh "\caption{Experiment 2: National Non-Profit}" _n ///
+			"\vspace{0pt}" _n ///
+			"\begin{tabular}{l c c c c}" _n ///
+			"& \multicolumn{1}{c}{Treatment} & \multicolumn{1}{c}{Control} & \multicolumn{1}{c}{p-value} & \multicolumn{1}{c}{}\\" _n ///
+			"\hline" _n ///
+			"\hline" _n 
+			}
+
+if `experiment'==3 {
+file write fh "\caption{Experiment 3: Public Television, New Script}" _n ///
+			"\vspace{0pt}" _n ///
+			"\begin{tabular}{l c c c c}" _n ///
+			"& \multicolumn{1}{c}{New Script} & \multicolumn{1}{c}{Original Script} & \multicolumn{1}{c}{Control} & \multicolumn{1}{c}{p-value}\\" _n ///
+			"\hline" _n ///
+			"\hline" _n 
+}
+
+
+foreach var of varlist payment_amount3 var13 retention renewing {
+
+if `experiment'==3 {
+*Unconditional Gift, includes 0 for no renewers
+oneway `var' exp3_treat 
+local `var'_p = string(Ftail(r(df_m), r(df_r), r(F)), "%9.2f")
+summarize `var' if exp3_treat==0
+
+if "`var'" =="renewing" | "`var'"== "retention" {
+local `var'_cntrl_mean = r(mean) * 100 
+local `var'_cntrl_se= (r(sd)/(sqrt(r(N)))) * 100
+summarize `var' if exp3_treat==1
+local `var'_treat1_mean = r(mean) * 100
+local `var'_treat1_se=(r(sd)/(sqrt(r(N)))) * 100
+summarize `var' if exp3_treat==2
+local `var'_treat2_mean = r(mean) * 100
+local `var'_treat2_se=(r(sd)/(sqrt(r(N)))) * 100
+}
+else {
+local `var'_cntrl_mean = r(mean)
+local `var'_cntrl_se= (r(sd)/(sqrt(r(N))))
+summarize `var' if exp3_treat==1
+local `var'_treat1_mean = r(mean)
+local `var'_treat1_se=(r(sd)/(sqrt(r(N))))
+summarize `var' if exp3_treat==2
+local `var'_treat2_mean = r(mean)
+local `var'_treat2_se=(r(sd)/(sqrt(r(N))))
+}
+
+*Conditional on Donating aka renewing==1
+oneway `var' exp3_treat if renewing==1
+local `var'_p_con = string(Ftail(r(df_m), r(df_r), r(F)), "%9.2f")
+summarize `var' if exp3_treat==0 & renewing==1
+local `var'_cntrl_mean_con = r(mean)
+local `var'_cntrl_se_con = (r(sd)/(sqrt(r(N))))
+summarize `var' if exp3_treat==1 & renewing==1
+local `var'_treat1_mean_con = r(mean)
+local `var'_treat1_se_con=(r(sd)/(sqrt(r(N))))
+summarize `var' if exp3_treat==2 & renewing==1
+local `var'_treat2_mean_con = r(mean)
+local `var'_treat2_se_con =(r(sd)/(sqrt(r(N))))
+}
+
+else {
+*Unconditional Gift, includes 0 for no renewers
+if "`var'" == "renewing" {
+tabulate `var' treat, chi2
+local `var'_p = r(p)
+}
+else {
+ranksum `var', by(treat) porder
+local `var'_p = 2 * normprob(-abs(r(z)))
+}
+
+if "`var'" =="renewing" | "`var'"== "retention" {
+summarize `var' if treat==0
+local `var'_cntrl_mean = r(mean) * 100
+local `var'_cntrl_se= (r(sd)/(sqrt(r(N)))) * 100
+summarize `var' if treat==1
+local `var'_treat_mean = r(mean) * 100
+local `var'_treat_se=(r(sd)/(sqrt(r(N)))) * 100
+}
+
+else {
+summarize `var' if treat==0
+local `var'_cntrl_mean = r(mean) 
+local `var'_cntrl_se= (r(sd)/(sqrt(r(N))))
+summarize `var' if treat==1
+local `var'_treat_mean = r(mean)
+local `var'_treat_se=(r(sd)/(sqrt(r(N))))
+}
+
+*Conditional on Donating aka renewing==1
+ranksum `var' if renewing==1, by(treat) porder
+local `var'_p_con = 2 * normprob(-abs(r(z)))
+summarize `var' if treat==0 & renewing==1
+local `var'_cntrl_mean_con = r(mean)
+local `var'_cntrl_se_con = (r(sd)/(sqrt(r(N))))
+summarize `var' if treat==1 & renewing==1
+local `var'_treat_mean_con = r(mean)
+local `var'_treat_se_con =(r(sd)/(sqrt(r(N))))
+}
+
+
+*add significance stars
+if ``var'_p'>.1 {
+	local `var'_star=""
+			}
+if ``var'_p' <= .1 & ``var'_p' > .05 {
+		local `var'_star="*"
+		}
+	if ``var'_p' <= .05 & ``var'_p' > .01 {
+		local `var'_star="**"
+		}
+	if ``var'_p' <= .01 {
+		local `var'_star="***"
+		}
+
+		
+if ``var'_p_con'>.1 {
+	local `var'_star_con=""
+			}
+if ``var'_p_con' <= .1 & ``var'_p' > .05 {
+		local `var'_star_con="*"
+		}
+	if ``var'_p_con' <= .05 & ``var'_p' > .01 {
+		local `var'_star_con="**"
+		}
+	if ``var'_p_con' <= .01 {
+		local `var'_star_con="***"
+		}
+}
+
+*num observations
+if `experiment'==3 {
+count if exp3_treat==1
+local num_treat1_mean = r(N)
+count if exp3_treat==2
+local num_treat2_mean = r(N)
+gen num = r(N)
+label var num "N"
+count if exp3_treat==0
+local num_cntrl_mean = r(N)
+}
+else {
+count if treat==1
+local num_treat_mean = r(N)
+gen num = r(N)
+label var num "N"
+count if treat==0
+local num_cntrl_mean = r(N)
+}
+
+label var payment_amount3 "Amount Donated"
+label var var13 "Number of Gifts"
+label var retention "Retention rate"
+label var renewing "Percent Donating"
+
+if `experiment'==1 | `experiment'==2 {
+foreach var of varlist renewing  {
+			file write fh "\hspace{4mm}"`"`: var label `var''"'" & " %4.2f (``var'_treat_mean') " & " %4.2f (``var'_cntrl_mean') " & " %4.2f (``var'_p') "``var'_star' \\" _n 
+			}
+foreach var of varlist  payment_amount3 var13 {
+			file write fh "\hspace{4mm}"`"`: var label `var''"'" & " %4.2f (``var'_treat_mean') " & " %4.2f (``var'_cntrl_mean') " & " %4.2f (``var'_p') "``var'_star' \\" _n 
+			file write fh " &  (" %4.2f (``var'_treat_se') ") & (" %4.2f (``var'_cntrl_se') ") & & \\" _n  
+			}
+
+foreach var of varlist payment_amount3 {
+	label var payment_amount3 "Amount \\$\mid\\$ Donated"
+			file write fh "\hspace{4mm}"`"`: var label `var''"'" & " %4.2f (``var'_treat_mean_con') " & " %4.2f (``var'_cntrl_mean_con') " & " %4.2f (``var'_p_con') "``var'_star_con' &\\" _n 
+			file write fh " &  (" %4.2f (``var'_treat_se_con') ") & (" %4.2f (``var'_cntrl_se_con') ") & & \\" _n  
+		}
+foreach var of varlist retention {
+		file write fh "\hspace{4mm}"`"`: var label `var''"'" & " %4.2f (``var'_treat_mean') " & " %4.2f (``var'_cntrl_mean') " & " %4.2f (``var'_p') "``var'_star' &\\" _n 
+		}
+	file write fh "\hline" _n
+	file write fh "\hspace{4mm}"`"`: var label num'"'" & " %15.0fc (`num_treat_mean') " & " %15.0fc (`num_cntrl_mean') " & &  \\"
+	file write fh "\hline \hline" _n
+	file write fh "\vspace{0pt}" _n
+}
+else {
+
+foreach var of varlist renewing  {
+			file write fh "\hspace{4mm}"`"`: var label `var''"'" & " %4.2f (``var'_treat2_mean') " & " %4.2f (``var'_treat1_mean') " & " %4.2f (``var'_cntrl_mean') " & " %4.2f (``var'_p') "``var'_star' \\" _n 
+			}
+foreach var of varlist payment_amount3 var13 {
+			file write fh "\hspace{4mm}"`"`: var label `var''"'" & " %4.2f (``var'_treat2_mean') " & " %4.2f (``var'_treat1_mean') " & " %4.2f (``var'_cntrl_mean') " & " %4.2f (``var'_p') "``var'_star' \\" _n 
+			file write fh " &  (" %4.2f (``var'_treat2_se') ") & (" %4.2f (``var'_treat1_se') ") & (" %4.2f (``var'_cntrl_se') ") & \\" _n  
+			}
+
+foreach var of varlist payment_amount3 {
+	label var payment_amount3 "Amount \\$\mid\\$ Donated"
+	*local payment_amount3lab="\em{unconditional on donating}"
+	
+			file write fh "\hspace{4mm}"`"`: var label `var''"'" & " %4.2f (``var'_treat2_mean_con') " & " %4.2f (``var'_treat1_mean_con') " & " %4.2f (``var'_cntrl_mean_con') " & " %4.2f (``var'_p_con') "``var'_star_con' \\" _n 
+			file write fh " &  (" %4.2f (``var'_treat2_se_con') ") & (" %4.2f (``var'_treat1_se_con') ") & (" %4.2f (``var'_cntrl_se_con') ") & \\" _n  
+foreach var of varlist retention {
+		file write fh "\hspace{4mm}"`"`: var label `var''"'" & " %4.2f (``var'_treat2_mean') " & " %4.2f (``var'_treat1_mean') " & " %4.2f (``var'_cntrl_mean') " & " %4.2f (``var'_p') "``var'_star' \\" _n 
+		}
+
+}
+file write fh "\hline" _n
+file write fh "\hspace{4mm}"`"`: var label num'"'" & " %15.0fc (`num_treat2_mean') " & " %15.0fc (`num_treat1_mean') " & " %15.0fc (`num_cntrl_mean') " &  \\"
+file write fh "\hline \hline" _n
+}
+
+file write fh "\end{tabular}" _n
+}
+file write fh "\end{subtable}" _n
+
+file close fh 

18/replication_package/thank_you_replication/dofiles/02_analysis/main.do

@@ -0,0 +1,45 @@
+/**********************************************************************************************
+*This dofile can only be run after the running all dofiles located in the dofiles/dataprep folder
+* Purpose: Runs all do-files located in the dofiles/analysis folder
+* Date modified: 2021 
+
+*Instructions: Uncomment line 32 after data from UAS has been received and all do files
+in the dataprep folder have been run
+**********************************************************************************************/
+
+
+
+
+
+*===============================================================================
+*  CREATING MAIN FIGURES AND TABLES
+*===============================================================================
+
+*MAIN FIGURES
+
+*Figure 1 - Cumulative Probability of Donating in Experiment 
+do "$dofiles/02_analysis/Figure1_giving_cumprob.do" 
+
+
+
+*Figure 2 - Forecasts of Treatment Effects
+
+/***********************************************************************************************
+Uncomment below line after data from UAS has been received and all do files in the dataprep folder
+have been run
+***********************************************************************************************/
+
+*do "$dofiles/02_analysis/Figure2_forecast_graph.do" 
+
+*Figure 3 - Treatment Effect (in % Change):  Observed Versus Predicted
+do "$dofiles/02_analysis/Figure3_obs_pred_don_rates.do"
+
+*MAIN TABLES
+
+*Table 1 - Balance Table
+do "$dofiles/02_analysis/Table1_balance_table.do" 
+
+*Table 2 - Treatment Effect
+do "$dofiles/02_analysis/Table2_treatment_effects.do"
+
+

18/replication_package/thank_you_replication/dofiles/03_appendix/FigureA2_kdensity.do

@@ -0,0 +1,28 @@
+********************************************************************************
+*Purpose: This do file creates Figure A2
+*Input Files: exp1_analysis_data.dta, exp2_analysis_data.dta, exp3_analysis_data.dta
+*Output Files: figureA2_kdensity_exp1.png, figureA2_kdensity_exp2.png, figureA2_kdensity_exp3.png
+********************************************************************************
+
+
+foreach x of numlist 1/3 {
+cd "$dir/data"
+use exp`x'_analysis_data, clear
+
+if `x'==1 | `x'==2 {
+
+
+twoway (kdensity payment_amount3 if treat==1 & payment_amount3>0 & payment_amount3<500, bwidth(3) lcolor(red))/*
+*/ (kdensity payment_amount3 if treat==0 & payment_amount3>0 & payment_amount3<500, bwidth(3) lcolor(blue) lpattern(dash))/*
+*/ , xlabel(0 (50) 500) legend(order (1 "Treatment" 2 "Control")) xtitle("Amount | Donated") ytitle("Kernel Density") graphregion(color(white))
+}
+else {
+
+twoway (kdensity payment_amount3 if treat==1 & script==1 & payment_amount3>0 & payment_amount3<500, bwidth(3) lcolor(red))/*
+*/ (kdensity payment_amount3 if treat==1 & script==0 & payment_amount3>0 & payment_amount3<500, bwidth(3) lcolor(green) lpattern(dash) )/*
+*/ (kdensity payment_amount3 if treat==0 & script==0 & payment_amount3>0 & payment_amount3<500, bwidth(3) lcolor(blue) lpattern(dash))/*
+*/, legend(order (1 "New Script" 2 "Old Script" 3 "Control"))  xlabel(0 (50) 500) xtitle("Amount | Donated") ytitle("Kernel Density") graphregion(color(white))/*
+*/
+}
+graph export "$dir/latex/figureA2_kdensity_exp`x'.png", replace
+}

18/replication_package/thank_you_replication/dofiles/03_appendix/FigureA3_historgram_forecasted.do

@@ -0,0 +1,106 @@
+********************************************************************************
+*Purpose: This do file creates Figure A3
+*Input Files: charity.dta, uas_dataset.dta
+*Temp Files: exp1_hist_charityperc.gph, exp2_hist_charityperc.gph, exp3_hist_charityperc.gph
+*exp1_hist_uasperc.gph, exp2_hist_uasperc.gph, exp3_hist_uasperc.gph
+*Output Files: figureA3_all_hist_perc.eps
+********************************************************************************
+
+
+
+cd "$dir/data"
+use "charity.dta",clear
+
+
+
+gen y=20
+gen w=40
+label var y "Treatment"
+
+//--------------------------------------------------------
+*Charity predicted vs actual gaps
+//--------------------------------------------------------
+
+foreach x of numlist 1/3 {
+gen exp`x'_gapamount = exp`x'_amount - exp`x'_amountactual
+gen exp`x'_gappercent= exp`x'_percent - exp`x'_percentactual
+}
+egen gap_amount= rowmean(exp*_gapamount)
+egen gap_percent = rowmean(exp*_gappercent)
+
+label var gap_amount "Overprediction (amount)"
+label var gap_percent "Overprediction (percent)"
+
+
+
+//--------------------------------------------------------
+*histograms
+//--------------------------------------------------------
+replace y=0 in 5
+replace w=0 in 5
+cd "$dir/latex"
+foreach x of numlist 1/3 {
+summarize exp`x'_percentactual
+gen exp`x'_conf_perchi=(r(mean) + .05*r(mean))
+gen exp`x'_conf_perclow=(r(mean) - .05*r(mean))
+summarize exp`x'_amountactual
+gen exp`x'_conf_amhi=(r(mean) + .05*r(mean))
+gen exp`x'_conf_amlow=(r(mean) - .05*r(mean))
+
+capture erase exp`x'_hist_charityperc.gph
+twoway (histogram exp`x'_percent, fcolor(none) lcolor(gray) width(5) percent) (line y exp`x'_conf_perchi, /*
+*/ lcolor(black) lpattern(dot)) (line y exp`x'_conf_perclow, lcolor(black) lpattern(dot)), saving(exp`x'_hist_charityperc,replace)/*
+*/ graphregion(color(white)) legend(off) ylabel(,nogrid)  title("Exp `x': Experts", size(medium))
+
+}
+
+cd "$dir/data"
+
+use "uas_dataset",clear
+
+*make histogram fragments for forecast histograms
+gen y=20
+gen w=40
+replace y=0 in 788
+replace w=0 in 788
+label var y "Treatment"
+cd "$dir/latex"
+
+foreach x of numlist 1/3  {
+label var exp`x'_percent "Experiment `x' (percent)"
+label var exp`x'_amount "Experiment `x' (amount)"
+replace num_correct=num_correct+1 if exp`x'_percent> (exp`x'_percentactual-(0.05*exp`x'_percentactual))/*
+		*/ & exp`x'_percent<(exp`x'_percentactual+(0.05*exp`x'_percentactual))
+	
+*histograms
+summarize exp`x'_percentactual
+gen exp`x'_conf_perchi=(r(mean) + .05*r(mean))
+gen exp`x'_conf_perclow=(r(mean) - .05*r(mean))
+summarize exp`x'_amountactual
+gen exp`x'_conf_amhi=(r(mean) + .05*r(mean))
+gen exp`x'_conf_amlow=(r(mean) - .05*r(mean))
+di "``x'_conf_perc'"
+di "``x'_conf_am'"
+
+capture erase exp`x'_hist_uasperc.gph
+twoway (histogram exp`x'_percent, fcolor(none) lcolor(gray) width(5) percent) (line y exp`x'_conf_perchi, /*
+*/ lcolor(black) lpattern(dot)) (line y exp`x'_conf_perclow, lcolor(black) lpattern(dot)), saving(exp`x'_hist_uasperc,replace)/*
+*/ graphregion(color(white)) legend(off) ylabel(,nogrid) title("Exp. `x': Nonexperts", size(medium))
+
+}
+
+*combining graphs for final figure
+
+set graphics on
+graph combine exp1_hist_charityperc.gph exp2_hist_charityperc.gph exp3_hist_charityperc.gph/*
+*/ exp1_hist_uasperc.gph exp2_hist_uasperc.gph exp3_hist_uasperc.gph,/*
+*/ ycommon xcommon graphregion(color(white)) l1title("Percent of Sample", size(small)) b1title("Percent Donating", size(small))
+graph export figureA3_all_hist_perc.eps, replace
+
+*erasing temp files 
+
+foreach x of numlist 1/3  {
+capture erase exp`x'_hist_charityperc.gph
+capture erase exp`x'_hist_uasperc.gph
+}
+

18/replication_package/thank_you_replication/dofiles/03_appendix/FigureA4_histogram_forecasted_conditional.do

@@ -0,0 +1,111 @@
+********************************************************************************
+*Purpose: This do file creates Figure A3
+*Input Files: charity.dta, uas_dataset.dta
+*Temp Files: exp1_hist_charityam.gph, exp2_hist_charityam.gph, exp3_hist_charityam.gph
+*exp1_hist_uasam.gph, exp2_hist_uasam.gph, exp3_hist_uasam.gph
+*Output Files: figureA4_all_hist_am.eps
+********************************************************************************
+
+
+
+
+cd "$dir/data"
+use "charity.dta",clear
+
+
+
+gen y=20
+gen w=40
+label var y "Treatment"
+
+//--------------------------------------------------------
+*Charity predicted vs actual gaps
+//--------------------------------------------------------
+
+foreach x of numlist 1/3 {
+gen exp`x'_gapamount = exp`x'_amount - exp`x'_amountactual
+gen exp`x'_gappercent= exp`x'_percent - exp`x'_percentactual
+}
+egen gap_amount= rowmean(exp*_gapamount)
+egen gap_percent = rowmean(exp*_gappercent)
+
+label var gap_amount "Overprediction (amount)"
+label var gap_percent "Overprediction (percent)"
+
+
+
+//--------------------------------------------------------
+*histograms
+//--------------------------------------------------------
+replace y=0 in 5
+replace w=0 in 5
+cd "$dir/latex"
+foreach x of numlist 1/3 {
+summarize exp`x'_percentactual
+gen exp`x'_conf_perchi=(r(mean) + .05*r(mean))
+gen exp`x'_conf_perclow=(r(mean) - .05*r(mean))
+summarize exp`x'_amountactual
+gen exp`x'_conf_amhi=(r(mean) + .05*r(mean))
+gen exp`x'_conf_amlow=(r(mean) - .05*r(mean))
+
+
+capture erase exp`x'_hist_charityam.gph
+twoway (histogram exp`x'_amount, fcolor(none) lcolor(gray) width(30) percent) (line w exp`x'_conf_amhi, /*
+*/ lcolor(black) lpattern(dot)) (line w exp`x'_conf_amlow, lcolor(black) lpattern(dot))if exp`x'_amount!=1000, saving(exp`x'_hist_charityam,replace)/*
+*/ graphregion(color(white)) legend(off) ylabel(,nogrid) title("Exp `x': Experts", size(medium))
+}
+
+
+
+cd "$dir/data"
+
+use "uas_dataset",clear
+
+*make histogram fragments for forecast histograms
+gen y=20
+gen w=40
+replace y=0 in 788
+replace w=0 in 788
+label var y "Treatment"
+cd "$dir/latex"
+
+foreach x of numlist 1/3  {
+label var exp`x'_percent "Experiment `x' (percent)"
+label var exp`x'_amount "Experiment `x' (amount)"
+replace num_correct=num_correct+1 if exp`x'_percent> (exp`x'_percentactual-(0.05*exp`x'_percentactual))/*
+		*/ & exp`x'_percent<(exp`x'_percentactual+(0.05*exp`x'_percentactual))
+	
+*histograms
+summarize exp`x'_percentactual
+gen exp`x'_conf_perchi=(r(mean) + .05*r(mean))
+gen exp`x'_conf_perclow=(r(mean) - .05*r(mean))
+summarize exp`x'_amountactual
+gen exp`x'_conf_amhi=(r(mean) + .05*r(mean))
+gen exp`x'_conf_amlow=(r(mean) - .05*r(mean))
+di "``x'_conf_perc'"
+di "``x'_conf_am'"
+
+capture erase exp`x'_hist_uasam.gph
+twoway (histogram exp`x'_amount, fcolor(none) lcolor(gray) width(30) percent) (line w exp`x'_conf_amhi, /*
+*/ lcolor(black) lpattern(dot)) (line w exp`x'_conf_amlow, lcolor(black) lpattern(dot)) if exp`x'_amount!=1000, saving(exp`x'_hist_uasam,replace)/*
+*/ graphregion(color(white)) legend(off) ylabel(,nogrid) title("Exp. `x': Nonexperts", size(medium))
+	}
+
+
+**combining the graphs
+
+graph combine exp1_hist_charityam.gph exp2_hist_charityam.gph exp3_hist_charityam.gph/*
+*/ exp1_hist_uasam.gph exp2_hist_uasam.gph exp3_hist_uasam.gph,/*
+*/ ycommon xcommon graphregion(color(white)) l1title("Percent of Sample", size(small)) b1title("Amount | Donated", size(small))
+graph export figureA4_all_hist_am.eps, replace 
+
+
+*erasing temp files
+
+foreach x of numlist 1/3  {
+capture erase exp`x'_hist_charityam.gph
+capture erase exp`x'_hist_uasam.gph
+}
+
+
+

18/replication_package/thank_you_replication/dofiles/03_appendix/FigureA5_charity_characteristics.do

@@ -0,0 +1,29 @@
+********************************************************************************
+*Purpose: This do file creates Figure A5
+*Input Files: charity.dta
+*Temp Files: num_donations_hist.gph, org_type_pie.gph
+*Output Files: figureA5_charity_characteristics.pdf
+********************************************************************************
+
+
+
+cd "$dir/data"
+use "charity.dta",clear
+
+cd "$dir/latex"
+histogram num_donations, discrete percent fcolor(none) lcolor(black) /*
+*/ saving(num_donations_hist.gph,replace) xlabel(1 "100-999" 2 "1,000-9,999" 3 "10,000-99,999" 4 "100,000+")/*
+*/ graphregion(color(white)) legend(off) xtitle("") ylabel(,nogrid)/*
+*/ title("Number of Individual Donations per Year", size(medium))
+
+graph pie, over(org_type) saving(org_type_pie.gph,replace) title("Charities by Field", size(medium))/*
+*/ graphregion(color(white)) legend(order( 1 2 3 4 5 6 8 9 7) size(vsmall)) pie(_all, explode(0.25))
+
+graph combine num_donations_hist.gph org_type_pie.gph/*
+*/, iscale(0.8) graphregion(color(white)) xsize(9.0) 
+graph export figureA5_charity_characteristics.pdf, replace
+
+*erasing temp files
+
+capture erase num_donations_hist.gph
+capture erase org_type_pie.gph

18/replication_package/thank_you_replication/dofiles/03_appendix/FigureA6_obs_pred_don_behavior.do

@@ -0,0 +1,243 @@
+********************************************************************************
+*Purpose: This do file creates Figure A6
+*Input Files: charity_round2.dta
+
+*Temp Files:
+*In .gph and .png form
+*gifts_1, gifts_2, calling_1, calling_2, agency_1,agency_2
+
+*Output Files:
+*figureA6_agency.png, figureA6_calling.png, figureA6_gifts.png, figureA6_info_1.png, figureA6_door_1.png
+********************************************************************************
+
+
+cd "$dir/data"
+use "charity_round2", clear
+
+
+**creating globals 
+
+global donation_rates mail_1 mail_2 door_1 door_2 door_3 matching_1 matching_2 matching_3 volunteer_1 volunteer_2 agency_1 agency_3
+global cond_amounts mail_3 mail_4 volunteer_3 volunteer_4 calling_1 calling_2 calling_3 matching_4 matching_5 matching_6 agency_2 agency_4
+
+
+foreach var of varlist $cond_amounts $donation_rates {
+	gen peffect_`var'=`var' - `var'_control
+	gen aeffect_`var'=`var'_actual - `var'_control
+	gen sepeffect_`var'=`var' - `var'_control
+}
+
+*gen se for actual obsv, donation rates
+foreach var of varlist $donation_rates {
+summarize `var'_actual
+local success1=r(mean)/100
+summarize `var'_control
+local success2=r(mean)/100
+di `success1'
+di `success2'
+di (`success1'*(1-`success1'))*(`success2'^2)
+gen seaeffect_`var'=sqrt(((`success1'*(1-`success1'))/`var'_nactual) + ((`success2'*(1-`success2'))/`var'_ncontrol))
+replace seaeffect_`var'=seaeffect_`var'*100
+
+gen setreatment_`var'=(sqrt((`success1'*(1-`success1'))/`var'_nactual))*100
+gen secontrol_`var'=(sqrt((`success2'*(1-`success2'))/`var'_ncontrol))*100
+}
+
+
+
+*gen se for actual obsv, cond amounts
+foreach var of varlist $cond_amounts {
+gen seaeffect_`var'=sqrt((`var'_seactual)^2 + (`var'_secontrol)^2)
+gen setreatment_`var'=`var'_seactual
+gen secontrol_`var'=`var'_secontrol
+}
+
+count if !missing(peffect_mail_1) | !missing(finished)
+local obsv=r(N)
+
+foreach var of varlist $donation_rates $cond_amounts {
+	gen treatment_`var'=`var'_actual
+	gen control_`var'=`var'_control
+	gen forecast_`var'=`var'
+	gen seforecast_`var'=forecast_`var'
+}
+
+
+collapse (mean) aeffect_* peffect_* seaeffect_* treatment_* control_* forecast_* setreatment_* secontrol_* /*
+*/ *_confidence (semean) sepeffect_* seforecast_*
+
+
+local count=1
+foreach var in $donation_rates $cond_amounts {
+	rename peffect_`var' peffect`count'
+	rename sepeffect_`var' sepeffect`count'
+	rename aeffect_`var' aeffect`count'
+	rename seaeffect_`var' seaeffect`count'
+	rename treatment_`var' treatment`count'
+	rename control_`var' control`count'
+	rename forecast_`var' forecast`count'
+	rename setreatment_`var' setreatment`count'
+	rename secontrol_`var' secontrol`count'
+	rename seforecast_`var' seforecast`count'
+	local count=`count'+1
+}
+
+gen id=1
+reshape long peffect aeffect sepeffect seaeffect treatment control forecast/*
+*/ setreatment secontrol seforecast, j(experiment) i(id)
+drop id
+
+	label define experiment 1 "Gifts 1" 2 "Gifts 2" 3 "Opt out 1" 4 "Opt out 2" 5 "Opt out 3" /*
+	*/ 6 "Matching 1" 7 "Matching 2" 8 "Matching 3" 9 "Paid info" 10 "Volunteer info" 11 "Agency 1" 12 "Agency 2"/*
+	*/ 13 "Gifts 1" 14 "Gifts 2" 15 "Paid info" 16 "Volunteer info" 17 "Info 1" 18 "Info 2" 19 "Info 3"/*
+	*/ 20 "Matching 1" 21 "Matching 2" 22 "Matching 3" 23 "Agency 1" 24 "Agency 2"
+	
+	label values experiment experiment
+
+
+gen hi_p = peffect + 1.96*sepeffect
+gen lo_p = peffect - 1.96*sepeffect
+gen hi_a = aeffect + 1.96*seaeffect
+gen lo_a = aeffect - 1.96*seaeffect
+
+
+
+//----------------------
+* Mail Graph
+//--------------------
+gen control_location=1 if inlist(experiment, 1, 13, 9,15,17,6,20,3,11,23)
+replace control_location=4 if inlist(experiment, 10, 16,4,12,24)
+replace control_location=7 if inlist(experiment, 5)
+gen treat_location=2 if inlist(experiment, 1, 13, 9,15,17,6,20,3,11,22,23)
+replace treat_location=3 if inlist(experiment, 2, 14)
+replace treat_location=5 if inlist(experiment,10,16,4,12,24)
+replace treat_location=4 if inlist(experiment,18,7,21)
+replace treat_location=6 if inlist(experiment,19,8,22)
+replace treat_location=8 if inlist(experiment,5)
+gen forecast_location=4 if inlist(experiment, 1, 13)
+replace forecast_location=5 if inlist(experiment, 2, 14,18,7,21)
+replace forecast_location=3 if inlist(experiment,9,15,17,6,20,3,11,23)
+replace forecast_location=6 if inlist(experiment,10,16,4,12,24)
+replace forecast_location=7 if inlist(experiment,19,8,22)
+replace forecast_location=9 if inlist(experiment,5)
+
+foreach type in control treatment forecast {
+gen hi_`type'=`type'+1.96*se`type'
+gen lo_`type'=`type'-1.96*se`type'
+}
+
+
+
+cd "$dir/latex"
+
+
+*Mailing Postcard gifts
+
+twoway (bar control control_location if experiment==1, fcolor(midblue) lcolor(black) barwidth(.9)) (bar treatment treat_location if experiment==1, barwidth(.9) fcolor(cranberry) lcolor(black))/*
+*/ (bar treatment treat_location if experiment==2, fcolor(green) lcolor(black) barwidth(.9)) (bar forecast forecast_location if experiment==1, fcolor(cranberry*.5) lcolor(black) barwidth(.9)) /*
+*/ (bar forecast forecast_location if experiment==2, fcolor(green*.5) lcolor(black) barwidth(.9)) (rcap hi_control lo_control control_location if experiment==1, lcolor(red))/*
+*/ (rcap hi_treatment lo_treatment treat_location if experiment==1 | experiment==2, lcolor(red)) /*
+*/ (rcap hi_forecast lo_forecast forecast_location if experiment==1 | experiment==2, lcolor(red)), graphregion(color(white)) ylabel(0(10)40,nogrid) ytitle("Proportion Donating (%)") /*
+*/ legend(off) xlabel(1 "control"  2 `""treatment" "1 postcard""' 3 `""treatment" "4 postcards""' 4 `""forecast" "1 postcard""' 5 `""forecast" "4 postcards""', labsize(small)) saving(gifts_1.gph,replace)
+graph export gifts_1.png, replace 
+
+
+twoway (bar control control_location if experiment==13, fcolor(midblue) lcolor(black) barwidth(.9)) (bar treatment treat_location if experiment==13, fcolor(cranberry) lcolor(black) barwidth(.9))/*
+*/ (bar treatment treat_location if experiment==14, barwidth(.9) fcolor(green) lcolor(black)) (bar forecast forecast_location if experiment==13, barwidth(.9) fcolor(cranberry*.5) lcolor(black)) /*
+*/ (bar forecast forecast_location if experiment==14, fcolor(green*.5) lcolor(black) barwidth(.9)) /*
+*/ (rcap hi_control lo_control control_location if experiment==13, lcolor(red))/*
+*/ (rcap hi_treatment lo_treatment treat_location if experiment==13 | experiment==14, lcolor(red)) /*
+*/ (rcap hi_forecast lo_forecast forecast_location if experiment==13 | experiment==14, lcolor(red)), graphregion(color(white)) ylabel(,nogrid) ytitle("Giving Amount ($)") /*
+*/ legend(off) ylabel(50 (10) 80) yscale(range( 50 80)) xlabel(1 "control"  2 `""treatment" "1 postcard""' 3 `""treatment" "4 postcards""' 4 `""forecast" "1 postcard""' 5 `""forecast" "4 postcards""', labsize(small)) saving(gifts_2.gph,replace)
+graph export gifts_2.png, replace 
+
+
+
+
+*Calling graphs
+twoway (bar control control_location if experiment==6, fcolor(midblue) lcolor(black) barwidth(.9) )/*
+*/ (bar treatment treat_location if experiment==6 | experiment==7 | experiment==8, fcolor(cranberry) lcolor(black) barwidth(.9))/*
+*/ (bar forecast forecast_location if experiment==6 | experiment==7 | experiment==8, fcolor(cranberry*.5) lcolor(black) barwidth(.9)) /*
+*/ (rcap hi_control lo_control control_location if experiment==6 | experiment==7 | experiment==8, lcolor(red))/*
+*/ (rcap hi_treatment lo_treatment treat_location if experiment==6 | experiment==7 | experiment==8, lcolor(red)) /*
+*/ (rcap hi_forecast lo_forecast forecast_location if experiment==6 | experiment==7 | experiment==8, lcolor(red)), graphregion(color(white)) ylabel(,nogrid) ytitle("Proportion Donating (%)")  /*
+*/ legend(off) xlabel(1 "control" 2 `""treatment" "1:1""' 3 `""forecast" "1:1""'/*
+*/ 4 `""treatment" "2:1""' 5 `""forecast" "2:1""' 6 `""treatment" "3:1""' 7 `""forecast" "3:1""', labsize(small))  saving(calling_1.gph,replace)
+graph export calling_1.png, replace 
+
+twoway (bar control control_location if experiment==20, fcolor(midblue) lcolor(black) barwidth(.9) )/*
+*/ (bar treatment treat_location if experiment==20 | experiment==21 | experiment==22, fcolor(cranberry) lcolor(black) barwidth(.9))/*
+*/ (bar forecast forecast_location if experiment==20 | experiment==21 | experiment==22, fcolor(cranberry*.5) lcolor(black) barwidth(.9)) /*
+*/ (rcap hi_control lo_control control_location if experiment==20 | experiment==21 | experiment==22, lcolor(red))/*
+*/ (rcap hi_treatment lo_treatment treat_location if experiment==20 | experiment==21 | experiment==22, lcolor(red)) /*
+*/ (rcap hi_forecast lo_forecast forecast_location if experiment==20 | experiment==21 | experiment==22, lcolor(red)), graphregion(color(white)) ylabel(,nogrid) ytitle("Giving Amount ($)")  /*
+*/ legend(off) xlabel(1 "control" 2 `""treatment" "1:1""' 3 `""forecast" "1:1""'/*
+*/ 4 `""treatment" "2:1""' 5 `""forecast" "2:1""' 6 `""treatment" "3:1""' 7 `""forecast" "3:1""', labsize(small)) saving(calling_2.gph,replace)
+graph export calling_2.png, replace 
+
+
+
+*Agency graphs
+twoway (bar control control_location if experiment==11 | experiment==12, fcolor(midblue) lcolor(black) barwidth(.9))/*
+*/ (bar treatment treat_location if experiment==11 | experiment==12, fcolor(cranberry) lcolor(black) barwidth(.9))/*
+*/ (bar forecast forecast_location if experiment==11 | experiment==12, fcolor(cranberry*.5) lcolor(black) barwidth(.9)) /*
+*/ (rcap hi_control lo_control control_location if experiment==11 | experiment==12, lcolor(red))/*
+*/ (rcap hi_treatment lo_treatment treat_location if experiment==11 | experiment==12, lcolor(red)) /*
+*/ (rcap hi_forecast lo_forecast forecast_location if experiment==11 | experiment==12, lcolor(red)), graphregion(color(white)) ylabel(,nogrid) ytitle("Proportion Donating (%)")  /*
+*/ legend(off) xlabel(1 "control" 2 `""treatment" "overall""' 3 "forecast" 4 "control" 5 `""treatment" "top 5%""'/*
+*/ 6 "forecast") saving(agency_1.gph,replace)
+graph export agency_1.png, replace 
+
+twoway (bar control control_location if experiment==23 | experiment==24, fcolor(midblue) lcolor(black) barwidth(.9)) /*
+*/ (bar treatment treat_location if experiment==23 | experiment==24, fcolor(cranberry) lcolor(black) barwidth(.9))/*
+*/(bar forecast forecast_location if experiment==23 | experiment==24, fcolor(cranberry*.5) lcolor(black) barwidth(.9)) /*
+*/ (rcap hi_control lo_control control_location if experiment==23 | experiment==24, lcolor(red))/*
+*/ (rcap hi_treatment lo_treatment treat_location if experiment==23 | experiment==24, lcolor(red)) /*
+*/ (rcap hi_forecast lo_forecast forecast_location if experiment==23 | experiment==24, lcolor(red)), /*
+*/ graphregion(color(white)) ytitle("Giving amount ($)") ylabel(,nogrid) /*
+*/ legend(off) xlabel(1 "control" 2 `""treatment" "overall""' 3 "forecast" 4 "control" 5 `""treatment" "top 5%""'/*
+*/ 6 "forecast")  saving(agency_2.gph,replace) 
+graph export agency_2.png, replace 
+
+*Combining
+foreach x in agency calling gifts  {
+graph combine `x'_1.gph `x'_2.gph, graphregion(color(white)) xsize(7)
+graph export figureA6_`x'_ppt.png, replace
+}
+
+
+*Calling in (info)
+twoway (bar control control_location if experiment==17, fcolor(midblue) barwidth(.9) lcolor(black) )/*
+*/ (bar treatment treat_location if experiment==17 | experiment==18 | experiment==19, fcolor(cranberry) barwidth(.9) lcolor(black))/*
+*/ (bar forecast forecast_location if experiment==17 | experiment==18 | experiment==19, fcolor(cranberry*.5) barwidth(.9) lcolor(black)) /*
+*/ (rcap hi_control lo_control control_location if experiment==17 | experiment==18 | experiment==19, lcolor(red))/*
+*/ (rcap hi_treatment lo_treatment treat_location if experiment==17 | experiment==18 | experiment==19, lcolor(red)) /*
+*/ (rcap hi_forecast lo_forecast forecast_location if experiment==17 | experiment==18 | experiment==19, lcolor(red)), graphregion(color(white)) ylabel(,nogrid) ytitle("Giving Amount ($)")  /*
+*/ legend(off) xlabel(1 "control" 2 `""treatment" "$75""' 3 `""forecast" "$75""'/*
+*/ 4 `""treatment" "$180""' 5 `""forecast" "$180""' 6 `""treatment" "$300""' 7 `""forecast" "$300""')
+graph export figureA6_info_1.png, replace 
+
+
+
+*Door to door graphs
+twoway (bar control control_location if experiment==3 | experiment==4 | experiment==5, fcolor(midblue) lcolor(black) barwidth(.9) )/*
+*/ (bar treatment treat_location if experiment==3 | experiment==4 | experiment==5, fcolor(cranberry) lcolor(black) barwidth(.9))/*
+*/ (bar forecast forecast_location if experiment==3 | experiment==4 | experiment==5, fcolor(cranberry*.5) lcolor(black) barwidth(.9)) /*
+*/ (rcap hi_control lo_control control_location if experiment==3 | experiment==4 | experiment==5, lcolor(red))/*
+*/ (rcap hi_treatment lo_treatment treat_location if experiment==3 | experiment==4 | experiment==5, lcolor(red)) /*
+*/ (rcap hi_forecast lo_forecast forecast_location if experiment==3 | experiment==4 | experiment==5, lcolor(red)), graphregion(color(white)) ylabel(,nogrid) ytitle("Proportion (%)") /*
+*/ legend(off) xlabel(1 "control" 2 `""treat" "door opening""' 3 "forecast" 4 "control" 5 `""treat" "donating""' 6 "forecast" /*
+*/ 7 "control" 8 `""treat" "small donor""' 9 "forecast") 
+graph export figureA6_door_1.png, replace 
+
+
+*erasing temp files 
+
+foreach var in .png .gph{
+cap erase gifts_1`var'
+cap erase gifts_2`var'
+cap erase calling_1`var'
+cap erase calling_2`var'
+cap erase agency_1`var'
+cap erase agency_2`var'
+}

18/replication_package/thank_you_replication/dofiles/03_appendix/TableA1_factors_associated_with_giving.do

@@ -0,0 +1,109 @@
+********************************************************************************
+*Purpose: This do file creates Table A1 
+*Input Files: exp1_analysis_data, exp2_analysis_data, exp3_analysis_data
+*Output Files: tableA1_factors_associated_with_giving.tex
+********************************************************************************
+
+
+	foreach experiment in 1 2 3 {
+	clear
+	cd "$dir/data"
+	use exp`experiment'_analysis_data
+
+		if `experiment'==2 {
+			global controls 
+			*reached var specific for LATE estimates
+			gen reached = 1 if response_type == "Called: Contacted"
+			replace reached=0 if response_type=="Called: Not Contacted" | response_type=="Control"
+			}
+		else {
+			global controls female age_display2 age_display3 inc_display3/*
+			*/ inc_display1 inc_display2 lor_display2 
+			label var inc_display4 "Income below \\$34,000"
+			label var inc_display3 "Income \\$35,000-\\$99,999"
+			label var inc_display1 "Income \\$100,000-\\$174,999"
+			label var inc_display2 "Income \\$175,000+"
+			label var female "Female"
+			label var age_display1 "18 to 44 years old"
+			label var age_display2 "45 to 64 years old"
+			label var age_display3 "65+ years old"
+			label var lor_display1 "Residence length$<$5 years"
+			label var lor_display2 "Residence length$>$5 years"
+			
+			*reached var specifc LATE estimates
+			replace reached = 0 if treat==0
+			}
+
+			if `experiment'==3 {
+				gen new_script=1 if exp3_treat==2
+				replace new_script=0 if exp3_treat!=2
+				label var new_script "New Call Script"
+				}
+
+label var treat "Call Treatment"
+label var reached "Reached"
+
+		*Table 3: OLS Regression
+				if `experiment'==3 {
+				*set station id for fixed effects
+				xtset ii
+				*donated Reg
+				xtreg donated treat new_script payment_amount2 var12 $controls, fe
+				estimates store exp`experiment'_reg_prob
+				*cond. gift amount Reg
+				xtreg gift_cond treat new_script payment_amount2 var12 $controls, fe
+				estimates store exp`experiment'_reg_amount
+				}
+
+			else {
+				if `experiment'==1 {
+				xtset ii 
+				*donated Reg
+				xtreg donated treat payment_amount2 var12 $controls, fe
+				estimates store exp`experiment'_reg_prob
+				*cond. gift amount Reg
+				xtreg gift_cond treat payment_amount2 var12 $controls, fe 
+				estimates store exp`experiment'_reg_amount
+				}
+				else{
+				* no fixed effets in exp 2
+				*donated Reg
+				reg donated treat payment_amount2 var12 $controls
+				estimates store exp`experiment'_reg_prob
+				*cond. gift amount Reg
+				reg gift_cond treat payment_amount2 var12 $controls
+				estimates store exp`experiment'_reg_amount
+				}
+				}
+		
+		
+			if `experiment'==1 {
+				*No Control Reg
+				xtset ii
+				xtreg `outcome' treat payment_amount2 var12, fe
+				estimates store exp`experiment'_`outcome'_nocontrol
+				*With Control Reg
+				xtreg `outcome' treat payment_amount2 var12 $controls, fe
+				estimates store exp`experiment'_`outcome'_control
+				}
+			if `experiment'==2 {
+				*No Control Reg
+				reg `outcome' treat payment_amount2 var12 
+				estimates store exp`experiment'_`outcome'_nocontrol
+				}
+				}
+	
+
+
+
+cd "$dir/latex"
+
+esttab exp1_reg_prob exp2_reg_prob exp3_reg_prob exp1_reg_amount exp2_reg_amount exp3_reg_amount/*
+*/ using tableA1_factors_associated_with_giving.tex, nonotes cells(b(star fmt(2)) se(par))/*
+*/ stats(r2 N, fmt(2 %15.0fc) label (R2 N)) label collabels(none) varlabels(_cons Constant)/*
+*/ starlevels( * 0.10 ** 0.05 *** 0.010)  mgroups("\em{Donated}" "\em{Amount \$\mid\$ Donated}", pattern(1 0 0 1 0 0)/*
+*/ prefix(\multicolumn{@span}{c}{) suffix(}) span erepeat(\cmidrule(lr){@span}))  /*            
+*/ nonumbers mtitles("Experiment 1" "Experiment 2" "Experiment 3" "Experiment 1" "Experiment 2"  "Experiment 3")/* 
+*/ order(treat new_script) replace
+
+

18/replication_package/thank_you_replication/dofiles/03_appendix/TableA2_average_gift_amount_LATE.do

@@ -0,0 +1,90 @@
+*******************************************************************************
+*Purpose: This do file creates Table A2 
+*Input Files: exp1_analysis_data, exp2_analysis_data, exp3_analysis_data
+*Output Files: tableA2_average_gift_amount_LATE.tex
+********************************************************************************
+
+
+	foreach experiment in 1 2 3 {
+	clear
+	cd "$dir/data"
+	use exp`experiment'_analysis_data
+
+		if `experiment'==2 {
+			global controls 
+			*reached var specific for LATE estimates
+			gen reached = 1 if response_type == "Called: Contacted"
+			replace reached=0 if response_type=="Called: Not Contacted" | response_type=="Control"
+			}
+		else {
+			global controls female age_display2 age_display3 inc_display3/*
+			*/ inc_display1 inc_display2 lor_display2 
+			label var inc_display4 "Income below \\$34,000"
+			label var inc_display3 "Income \\$35,000-\\$99,999"
+			label var inc_display1 "Income \\$100,000-\\$174,999"
+			label var inc_display2 "Income \\$175,000+"
+			label var female "Female"
+			label var age_display1 "18 to 44 years old"
+			label var age_display2 "45 to 64 years old"
+			label var age_display3 "65+ years old"
+			label var lor_display1 "Residence length$<$5 years"
+			label var lor_display2 "Residence length$>$5 years"
+			
+			*reached var specifc LATE estimates
+			replace reached = 0 if treat==0
+			}
+
+			if `experiment'==3 {
+				gen new_script=1 if exp3_treat==2
+				replace new_script=0 if exp3_treat!=2
+				label var new_script "New Call Script"
+				}
+
+label var treat "Call Treatment"
+label var reached "Reached"
+
+		
+		*Table 4: LATE, 2SLS Regression
+	
+			if `experiment'==3 {
+			tab ii, gen(ii)
+			drop ii 
+			ivreg donated new_script payment_amount2 var12 ii* $controls (reached=treat)
+			estimates store exp`experiment'_reg_prob
+
+			ivreg gift_cond new_script payment_amount2 var12 $controls ii* (reached=treat)
+			estimates store exp`experiment'_reg_amount
+			}
+			
+			if `experiment'==1 {
+			tab ii, gen(ii)
+			drop ii 
+			ivreg donated payment_amount2 var12 ii* $controls (reached=treat)
+			estimates store exp`experiment'_reg_prob
+
+			ivreg gift_cond payment_amount2 var12 $controls ii* (reached=treat)
+			estimates store exp`experiment'_reg_amount
+			}
+
+			if `experiment'==2 {
+			ivreg donated payment_amount2 var12 $controls (reached=treat)
+			estimates store exp`experiment'_reg_prob
+
+			ivreg gift_cond payment_amount2 var12 $controls (reached=treat)
+			estimates store exp`experiment'_reg_amount
+			}
+			
+	}
+	
+
+cd "$dir/latex"
+
+
+esttab exp1_reg_prob exp2_reg_prob exp3_reg_prob exp1_reg_amount exp2_reg_amount exp3_reg_amount/*
+*/ using tableA2_average_gift_amount_LATE.tex, nonotes cells(b(star fmt(2)) se(par))/*
+*/ stats(r2 N, fmt(2 %15.0fc) label (R2 N)) label collabels(none) varlabels(_cons Constant)/*
+*/ starlevels( * 0.10 ** 0.05 *** 0.010) drop(ii*) mgroups("\em{Donated}" "\em{Amount \$\mid\$ Donated}", pattern(1 0 0 1 0 0)/*
+*/ prefix(\multicolumn{@span}{c}{) suffix(}) span erepeat(\cmidrule(lr){@span}))/*
+*/ nonumbers mtitles("Experiment 1" "Experiment 2" "Experiment 3" "Experiment 1" "Experiment 2" "Experiment 3")/* 
+*/ order(reached new_script) replace
+

18/replication_package/thank_you_replication/dofiles/03_appendix/TableA3_treatment_future_years.do

@@ -0,0 +1,92 @@
+*******************************************************************************
+*Purpose: This do file creates Table A3
+*Input Files: exp1_analysis_data
+*Output Files: tableA3_treatment_future_years.tex
+********************************************************************************
+
+
+
+cd "$dir/data"
+use exp1_analysis_data, clear
+
+cd "$dir/latex"
+file open fh using "tableA3_treatment_future_years.tex", write replace
+
+		file write fh "\begin{subtable}[t]{\linewidth}" _n ///
+			"\centering" _n ///
+			"\vspace{0pt}" _n ///
+
+foreach x of numlist 4/7 {
+gen renewing`x'=0
+replace renewing`x' =1 if var1`x'!=0 & var1`x'!=.
+gen gift_cond`x'=payment_amount`x' if !missing(payment_amount`x') & payment_amount`x'>0
+label var renewing`x' "Percent Donating"
+label var payment_amount`x' "Amount Donated"
+label var var1`x' "Number of Gifts"
+label var gift_cond`x' "Amount \\$\mid\\$ Donated"
+foreach var of varlist payment_amount`x' /*
+*/ var1`x' renewing`x' gift_cond`x' {
+
+if `var'==renewing`x' {
+tabulate `var' treat, chi2
+local `var'_p = r(p)
+summarize `var' if treat==0
+local `var'_cntrl_mean = r(mean)*100
+local `var'_cntrl_se= (r(sd)/(sqrt(r(N))))*100
+summarize `var' if treat==1
+local `var'_treat_mean = r(mean)*100
+local `var'_treat_se=(r(sd)/(sqrt(r(N))))*100
+}
+else {
+ranksum `var', by(treat) porder
+local `var'_p = 2 * normprob(-abs(r(z)))
+summarize `var' if treat==0
+local `var'_cntrl_mean = r(mean)
+local `var'_cntrl_se= (r(sd)/(sqrt(r(N))))
+summarize `var' if treat==1
+local `var'_treat_mean = r(mean)
+local `var'_treat_se=(r(sd)/(sqrt(r(N))))
+}
+
+*add significance stars
+if ``var'_p'>.1 {
+	local `var'_star=""
+			}
+if ``var'_p' <= .1 & ``var'_p' > .05 {
+		local `var'_star="*"
+		}
+	if ``var'_p' <= .05 & ``var'_p' > .01 {
+		local `var'_star="**"
+		}
+	if ``var'_p' <= .01 {
+		local `var'_star="***"
+		}
+}
+count if treat==1 & !missing(payment_amount`x')
+local num_treat`x'=r(N)
+count if treat==0 & !missing(payment_amount`x')
+local num_control`x'=r(N)
+}
+
+
+foreach x of numlist 4/7 {
+	local year=`x'-2
+	file write fh "\caption{`year' Years Following Randomization}" _n ///
+			"\vspace{0pt}" _n ///
+			"\begin{tabular}{l c c c}" _n ///
+			"& \multicolumn{1}{c}{Treatment} & \multicolumn{1}{c}{Control} & \multicolumn{1}{c}{p-value}\\" _n ///
+			"\hline" _n ///
+			"\hline" _n 
+	foreach var of varlist renewing`x' gift_cond`x' {
+				file write fh "\hspace{4mm}"`"`: var label `var''"'" & " %4.2f (``var'_treat_mean') " & " %4.2f (``var'_cntrl_mean') " & " %4.2f (``var'_p') "``var'_star' \\" _n 
+				file write fh " &  (" %4.2f (``var'_treat_se') ") & (" %4.2f (``var'_cntrl_se') ") & \\" _n  
+				}
+	file write fh "\hline" _n
+	file write fh "\hspace{4mm} N &  " %15.0fc (`num_treat`x'') " & " %15.0fc (`num_control`x'') " & \\" _n  
+	file write fh "\hline" _n ///
+				"\hline" _n 
+	file write fh "\end{tabular}" _n
+}
+
+file write fh "\end{subtable}" _n
+file close fh

18/replication_package/thank_you_replication/dofiles/03_appendix/TableA4_unconditional_gift_te_exp1.do

@@ -0,0 +1,38 @@
+*******************************************************************************
+*Purpose: This do file creates Table A4
+*Input Files: exp1_analysis_data
+*Output Files: tableA4_unconditional_gift_te_exp1.tex
+********************************************************************************
+
+
+cd "$dir/data"
+clear
+use exp1_analysis_data
+
+global controls female age_display2 age_display3 inc_display3/*
+*/ inc_display1 inc_display2 lor_display2 
+label var inc_display4 "Income below \\$34,000"
+label var inc_display3 "Income \\$35,000-\\$99,999"
+label var inc_display1 "Income \\$100,000-\\$174,999"
+label var inc_display2 "Income \\$175,000+"
+label var female "Female"
+label var age_display1 "18 to 44 years old"
+label var age_display2 "45 to 64 years old"
+label var age_display3 "65+ years old"
+label var lor_display1 "Residence length$<$5 years"
+label var lor_display2 "Residence length$>$5 years"
+label var treat "Call Treatment"
+
+xtset ii 
+				
+xtreg payment_amount3 treat payment_amount2 var12 $controls , fe
+estimates store exp1_reg_prob
+									
+cd "$dir/latex"
+	
+esttab exp1_reg_prob /*
+*/ using tableA4_unconditional_gift_te_exp1.tex, nonotes cells(b(star fmt(2)) se(par))/*
+*/ stats(r2 N, fmt(2 %15.0fc) label (R2 N)) label collabels(none) varlabels(_cons Constant)/*
+*/ starlevels( * 0.10 ** 0.05 *** 0.010)/*            
+*/ nonumbers mtitles("Unconditional Gift Amount")/* 
+*/ replace		

18/replication_package/thank_you_replication/dofiles/03_appendix/TableA5_experience.do

@@ -0,0 +1,72 @@
+*******************************************************************************
+*Purpose: This do file creates Table A5
+*Input Files: charity.dta
+*Output Files: tableA5_experience.tex
+********************************************************************************
+
+
+cd "$dir/data"
+use "charity.dta",clear
+
+
+//--------------------------------------------------------
+*Charity predicted vs actual gaps
+//--------------------------------------------------------
+
+foreach x of numlist 1/3 {
+gen exp`x'_gapamount = exp`x'_amount - exp`x'_amountactual
+gen exp`x'_gappercent= exp`x'_percent - exp`x'_percentactual
+}
+egen gap_amount= rowmean(exp*_gapamount)
+egen gap_percent = rowmean(exp*_gappercent)
+
+label var gap_amount "Overprediction (amount)"
+label var gap_percent "Overprediction (percent)"
+
+
+
+//--------------------------------------------------------
+*prediction by experience regression
+//--------------------------------------------------------
+
+foreach var of varlist highexp_org highexp_ind high_don does_calls {
+ reg gap_amount `var'
+		local t = _b[`var']/_se[`var']
+		local `var'_p1 = 2*ttail(e(df_r),abs(`t'))
+		local `var'_b1=_b[`var']
+		local `var'_s1=_se[`var']
+ reg gap_percent `var'
+		local t = _b[`var']/_se[`var']
+		local `var'_p2 = 2*ttail(e(df_r),abs(`t'))
+		local `var'_b2=_b[`var']
+		local `var'_s2=_se[`var']
+		
+	foreach y of numlist 1/2 {
+	if ``var'_p`y'' > .1 local `var'_p`y'1 =""
+	if ``var'_p`y'' > .05 & ``var'_p`y'' <=.1 local `var'_p`y'1="*"
+	if ``var'_p`y'' > .01 & ``var'_p`y'' <=.05 local `var'_p`y'1="**"
+	if ``var'_p`y'' <=.01 local `var'_p`y'1="***"
+	}
+	}
+
+count if !missing(gap_amount)
+local n1=r(N)
+count if !missing(gap_percent)
+local n2=r(N)
+cd "$dir/latex"	
+file open fh using "tableA5_experience.tex", write replace
+		file write fh "\begin{tabular}{l*{7}{c}}" _n ///
+			"\hline" _n ///
+			"\hline" _n ///
+			"& \multicolumn{1}{c}{Overprediction (\\$ per donation)} & \multicolumn{1}{c}{Overprediction (\% donated)} \\" _n ///
+			"\hline" _n
+foreach var of varlist highexp_org highexp_ind high_don does_calls {
+		file write fh  "\hspace{4mm}"`"`: var label `var''"'" & " %4.2f (``var'_b1') "``var'_p11' & " %4.2f (``var'_b2') "``var'_p21' \\ " _n
+		file write fh  "& (" %4.2f (``var'_s1') ") & (" %4.2f (``var'_s2') ")  \\ " _n
+		}
+
+file write fh "\hline" _n
+file write fh  "\hspace{4mm} N & " %4.0f (`n1') " & " %4.0f (`n2') " \\ " _n
+file write fh "\hline\hline" _n
+file write fh "\end{tabular}" _n
+file close fh

18/replication_package/thank_you_replication/dofiles/03_appendix/TableA6_general_interactions_combined.do

@@ -0,0 +1,53 @@
+*******************************************************************************
+*Purpose: This do file creates Table A6
+*Input Files: exp1_analysis_data.dta
+*Output Files: tableA6_general_interactions_combined.tex
+********************************************************************************
+
+
+
+cd "$dir/data"
+
+use exp1_analysis_data, clear
+
+replace pledge2=1 if pledge2>0 & !missing(pledge2)
+*replace category_p2=1 if category_p2>0 & !missing(category_p2)
+
+*make interaction terms
+foreach x of numlist 1/3 {
+gen treat_age`x'=age_display`x'*treat
+}
+foreach x of numlist 1/4 {
+gen treat_inc`x'=inc_display`x'*treat
+}
+gen treat_female=female*treat
+gen treat_payment_amount2=payment_amount2*treat
+gen treat_var12=var12*treat
+gen treat_p=pledge2*treat
+gen treat_residence=treat*lor_display2
+label var gift_cond "Exp. 1" 
+label var donated "Exp. 1" 
+label var treat_female "Treatment*Female"
+label var treat_payment_amount2 "Treatment*Baseline Donation"
+label var treat_var12 "Treatment*Baseline Gifts"
+label var treat_p "Treatment*Pledge Drive"
+label var treat_age2 "Treatment*45-64 years old"
+label var treat_age3 "Treatment*65+ years old"
+label var treat_inc1 "Treatment*\\$100k-175k+"
+label var treat_inc2 "Treatment*\\$175k+"
+label var treat_inc3 "Treatment*\\$35k-99k"
+label var treat_residence "Treatment*Residence length 5+ years"
+label var treat "Treatment"
+label var pledge2 "Pledge Drive"
+label var donated "Prop. Donating"
+label var gift_cond "Amount Donated"
+
+xtset ii
+cd "$dir/latex"
+eststo clear
+eststo: quietly xtreg donated treat pledge2 treat_p , fe
+eststo: quietly xtreg gift_cond treat pledge2 treat_p , fe
+esttab using tableA6_general_interactions_combined.tex, keep(treat pledge2 treat_p) cells(b(star fmt(2)) se(par))/* 
+  */ stats(r2 N, fmt(2 %15.0fc) label(R2 N))   /*
+  */ label collabels(none) /*
+  */ star(* 0.10 ** 0.05 *** 0.01) nonotes replace

18/replication_package/thank_you_replication/dofiles/03_appendix/main.do

@@ -0,0 +1,65 @@
+/***********************************************************************************************
+*This dofile can only be run after the running all dofiles located in the dofiles/dataprep folder
+* Purpose: Runs all do-files located in the dofiles/appendix folder
+* Date modified: 2021 
+
+*Instructions: Uncomment lines 27 and 36 after data from UAS has been received and all do files
+in the dataprep folder have been run
+**********************************************************************************************/
+
+*===============================================================================
+* CREATING APPENDIX FIGURES AND TABLES
+*===============================================================================
+
+*APPENDIX FIGURES
+
+*Figure A1 -  Flow Diagram: Experiments 1 and 3 created manually
+
+*Figure A2 -  Distribution of Gift Amounts by Experiment
+do "$dofiles/03_appendix/FigureA2_kdensity.do" 
+
+*Figure A3 -  Histograms of Forecasted Treatment Effects: Percent Donating
+
+/***********************************************************************************************
+Uncomment below line after data from UAS has been received and all do files in the dataprep folder
+have been run
+***********************************************************************************************/
+*do "$dofiles/03_appendix/FigureA3_historgram_forecasted.do" 
+
+*Figure A4 -  Histograms of Forecasted Treatment Effects: Amount|Donated
+
+/***********************************************************************************************
+Uncomment below line after data from UAS has been received and all do files in the dataprep folder
+have been run
+***********************************************************************************************/
+
+*do "$dofiles/03_appendix/FigureA4_histogram_forecasted_conditional.do" 
+
+*Figure A5 -  Characteristics of Charity Sample
+do "$dofiles/03_appendix/FigureA5_charity_characteristics.do" 
+
+*Figure A6 -  Observed and Predicted Donation Behavior, All Studies
+do "$dofiles/03_appendix/FigureA6_obs_pred_don_behavior.do" 
+
+*APPENDIX TABLES 
+
+*Table A1 -   Factors Associated with Giving in the next Year
+do "$dofiles/03_appendix/TableA1_factors_associated_with_giving.do" 
+
+*Table A2 -   Average Gift Amount on Treatment, LATE Estimates
+do "$dofiles/03_appendix/TableA2_average_gift_amount_LATE.do" 
+
+*Table A3 -  Treatment Effects in Future Years in Experiment 1
+do "$dofiles/03_appendix/TableA3_treatment_future_years.do" 
+
+*Table A4 -  Effect of Treatment on Unconditional Gift Amount in Experiment 1
+do "$dofiles/03_appendix/TableA4_unconditional_gift_te_exp1.do"
+
+*Table A5 -  Average Overprediction by Experience and Charity Size
+do "$dofiles/03_appendix/TableA5_experience.do" 
+
+*Table A6 -  Robustness Test: Proportion Donating and ConditionalGift Card Amount in Experiment 1
+do "$dofiles/03_appendix/TableA6_general_interactions_combined.do"
+
+
+	

18/replication_package/thank_you_replication/dofiles/master.do

@@ -0,0 +1,95 @@
+/**********************************************************************************************
+* Purpose: Master do-file runs all do-files for "Do Thank-You Calls Increase Charitable Giving? 
+Expert Forecasts and Field Experimental Evidence"
+* Date modified: 2021 
+
+
+
+
+BEFORE RUNNING: *Edit global dir to directory of master file if different than below
+
+**********************************************************************************************/
+
+
+*-------------------------------------------------------------------------------
+*						DIRECTORY
+*
+*------------------------------------------------------------------------------- 
+
+clear all 
+set more off
+
+*Enter directory of master file here
+global dir "/Users/`c(username)'/Dropbox/thank_you_replication"
+
+* Do-files directory
+global dofiles "$dir/dofiles"
+
+*===============================================================================
+* A. CREATING DATASETS
+*===============================================================================
+
+do "$dofiles/01_dataprep/main.do" 
+
+*===============================================================================
+* B. CREATING MAIN FIGURES AND TABLES
+*===============================================================================
+
+do "$dofiles/02_analysis/main.do"
+
+
+*MAIN FIGURES
+
+*Figure 1 - Cumulative Probability of Donating in Experiment 
+
+*Figure 2 - Forecasts of Treatment Effects (CAN'T BE CREATED WITHOUT UAS DATA)
+
+*Figure 3 - Treatment Effect (in % Change):  Observed Versus Predicted
+
+*MAIN TABLES
+
+*Table 1 - Balance Table
+
+*Table 2 - Treatment Effect
+
+
+
+*===============================================================================
+* C. CREATING APPENDIX FIGURES AND TABLES
+*===============================================================================
+
+do "$dofiles/03_appendix/main.do"
+
+
+*APPENDIX FIGURES
+
+*Figure A1 -  Flow Diagram: Experiments 1 and 3 created manually
+
+*Figure A2 -  Distribution of Gift Amounts by Experiment
+
+*Figure A3 -  Histograms of Forecasted Treatment Effects: Percent Donating (CAN'T BE CREATED WITHOUT UAS DATA)
+
+*Figure A4 -  Histograms of Forecasted Treatment Effects: Amount|Donated (CAN'T BE CREATED WITHOUT UAS DATA)
+
+*Figure A5 -  Characteristics of Charity Sample
+
+*Figure A6 -  Observed and Predicted Donation Behavior, All Studies
+
+*APPENDIX TABLES 
+
+*Table A1 -   Factors Associated with Giving in the next Year
+
+*Table A2 -   Average Gift Amount on Treatment, LATE Estimates
+
+*Table A3 -  Treatment Effects in Future Years in Experiment 1
+
+*Table A4 -  Effect of Treatment on Unconditional Gift Amount in Experiment 1
+
+*Table A5 -  Average Overprediction by Experience and Charity Size
+
+*Table A6 -  Robustness Test: Proportion Donating and Conditional Gift Card Amount in Experiment 1
+
+
+	
+
+

18/replication_package/thank_you_replication/dofiles/step0_Install_Packages_One_Time.do

@@ -0,0 +1,13 @@
+clear all
+set more off
+
+program packages
+        foreach pkg in  estout {
+            dis "Installing `pkg'"
+             ssc install `pkg', replace
+        }
+end
+
+packages
+
+

18/replication_package/thank_you_replication/questionnaires/SPI2019_practitioner_survey.pdf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:92c1eb9b7b9176d72790f5f9f8100b1f862731bf60c435f2dfb9d8c41338e79c
+size 256375

18/replication_package/thank_you_replication/questionnaires/charity_more_questions_survey.pdf

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+size 203026

18/replication_package/thank_you_replication/questionnaires/charity_survey.pdf

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+version https://git-lfs.github.com/spec/v1
+oid sha256:3b990c12f4847c81e8e81e77ebbfc1c5421c5b73c7c392f67c85cd2bbb7f0b36
+size 225388

18/replication_package/thank_you_replication/questionnaires/uas166_relevant_pg34_37.pdf

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+oid sha256:ba7b8a06b21093a41d0b8665e852af3ca14f321adf123e735370caf259657a2e
+size 301396

18/replication_package/thank_you_replication/questionnaires/uas24_relevant_pg81.pdf

@@ -0,0 +1,3 @@
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+oid sha256:5d2adc72449a0a3432100d9056e27ee7b60680768a8bfd6f6830eefe38d07dc0
+size 221226

18/should_reproduce.txt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f4398f9ed99c05fbdc1866e3f8ece9f68c69e6329b64702527503241e706a28e
+size 42