add 24

24/paper.pdf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:93a0f2303479e92741273e98fae9a4a2083f0fc2c3cdd625db813a7b29364d05
+size 986746

24/replication_package/Code/config.do

@@ -0,0 +1,42 @@
+clear all
+set more off
+
+program main
+    * *** Add required packages from SSC to this list ***
+    local ssc_packages "estout grc1leg dataout cdfplot"
+    * *** Add required packages from SSC to this list ***
+
+    if !missing("`ssc_packages'") {
+        foreach pkg in "`ssc_packages'" {
+        * install using ssc, but avoid re-installing if already present
+            capture which `pkg'
+            if _rc == 111 {                 
+               dis "Installing `pkg'"
+               quietly ssc install `pkg', replace
+               }
+        }
+    }
+
+ /* Install packages using net, but avoid re-installing if already present
+    capture which yaml
+       if _rc == 111 {
+        quietly net from "https://raw.githubusercontent.com/gslab-econ/stata-misc/master/"
+        quietly cap ado uninstall yaml
+        quietly net install yaml
+       }
+    * Install complicated packages : moremata (which cannot be tested for with which)
+    capture confirm file $adobase/plus/m/moremata.hlp
+        if _rc != 0 {
+        cap ado uninstall moremata
+        ssc install moremata
+        }
+     * Standard GSLAB stuff
+    quietly net from "https://raw.githubusercontent.com/gslab-econ/gslab_stata/master/gslab_misc/ado"
+       quietly cap net uninstall matrix_to_txt
+       quietly net install matrix_to_txt
+       quietly cap net uninstall preliminaries
+       quietly net install preliminaries
+*/
+end
+
+main

24/replication_package/Code/datacleaning.do

@@ -0,0 +1,2050 @@
+		
+/*-------------------------------*/	
+*NO CHOICE 
+/*-------------------------------*/	
+
+clear
+import delimited "${raw}NoChoice_deidentified.csv", varnames(1)
+drop if status==1
+tab distributionchannel
+drop if distributionchannel=="preview"
+tab finished
+keep if finished==1
+
+sort newid
+quietly by newid:  gen dup = cond(_N==1,0,_n)
+tab dup
+drop if dup!=0
+
+rename q32 attention
+
+g id=_n
+g attentionpassed=attention==3
+keep if attentionpassed==1
+
+
+*Treatments
+g treatment=1 if condition=="BeforeA"
+replace treatment=2 if condition=="AfterA"
+replace treatment=3 if condition=="BeforeB"
+replace treatment=4 if condition=="AfterB"
+
+label def treat 1 "Before A" 2 "After A" 3 "Before B" 4 "After B"
+label val treatment treat 
+
+
+
+*Beliefs
+g beliefbin=q45 
+g beliefnum=q43
+
+*Recommend b
+g recommendb=(recommendationa==2 | recommendationb==2)
+
+*Signal
+g signalblue=(fl_211_do=="Signal_blue2" | fl_221_do=="Signal_blue2" | fl_229_do=="Signal_blue2" | fl_127_do=="Signal_blue2")
+
+*Conflict
+g conflict=1 if treatment<3 & signalblue==1
+replace conflict=1 if treatment>2 & signalblue==0
+replace conflict=0 if conflict==.
+
+*Commission
+g incentiveA=(condition=="AfterA" | condition=="BeforeA")
+g incentiveB=1-incentiveA
+
+*Recommend incentivized
+g recommendincentivized=recommendb if treatment>2
+replace recommendincentivized=1-recommendb if treatment<3
+
+*Before-After
+g before=(treatment==1 | treatment==3)
+g after=1-before
+
+*Prosociality 		
+forval i=2(1)5{
+recode q8`i' (1=0) (2=1)
+}
+
+rename q82 alpha1
+rename q83 alpha2
+rename q84 alpha3
+rename q85 alpha4
+rename q176 alpha5
+
+recode alpha5 (1=0) (2=1)
+
+egen alphamiss=rowmiss(alpha1 alpha2 alpha3 alpha4) 
+tab alphamiss
+
+*alpha1-5 equal 1 is recommend the incentivized option 
+
+*RESTRICTING RESPONDENTS TO THOSE WITH COMPLETE ALPHA CHOICES
+keep if alphamiss==0
+
+*Prosociality switch 
+reshape long alpha, i(id) j(number)
+	
+sort id number		
+g previouschoice=alpha[_n-1] if number>1		
+g steptob=(alpha-previouschoice) if number>1
+bys id: egen sumsteptob=total(steptob) 
+
+*Alpha value final = number of times you go with the incentive to recommend Y
+g alphavalue=0 if sumsteptob==0 & alpha==0 & number==5 /*always choosing X, no incentive*/
+replace alphavalue=5 if sumsteptob==0 & alpha==1 & number==5 /*always choosing Y, incentive*/
+*Alpha value is the question number when the steptob is 1 for those who switch
+replace alphavalue=number-1 if sumsteptob==1 & steptob==1 
+
+g inconsistentchoice=(steptob==-1)
+bys id: egen inconsistentid=total(inconsistentchoice) 
+
+bys id: egen alphavaluefinal=total(alphavalue) 
+replace alphavaluefinal=. if inconsistentid>0
+
+tab alphavaluefinal, m
+cap drop alphavalue inconsistentchoice previouschoice steptob
+reshape wide alpha, i(id) j(number)
+
+*Average alpha
+tab alphavaluefinal if treatment!=., m
+
+rename recommendincentivized recommendincentive
+g female=(gender==2)
+replace age="31" if age=="3i"
+destring age, replace
+recode englishnative (2=0)
+
+g nodifficulty=(difficulty==2)
+replace nodifficulty=. if difficulty==.
+
+label var female "Female"
+label var age "Age"
+
+gen seeincentivefirst=(condition=="BeforeA" | condition=="BeforeB")
+
+gen selfish=0
+replace selfish=1 if alphavaluefinal>3
+replace selfish=. if alphavaluefinal==.
+gen missingalpha=0
+replace missingalpha=1 if alphavaluefinal==.
+
+gen noconflict=1-conflict
+g seeincentivefirst_noconflict=seeincentivefirst*noconflict 	
+
+
+g recommendincentive_before=recommendincentive if seeincentivefirst==1
+g recommendincentive_after=recommendincentive if seeincentivefirst==0	
+
+
+egen stdalpha=std(alphavaluefinal)
+
+
+g choice="No Choice"
+
+
+save "${data}nochoice.dta", replace		
+
+
+
+/*------------------------------*/
+*CHOICE EXPERIMENT
+/*------------------------------*/
+*** CLEANING DEIDENTIFIED DATA
+clear
+import delimited "${raw}Choice1_deidentified.csv", varnames(1)
+
+drop if status==1
+*drop if workerid==""
+tab distributionchannel
+drop if distributionchannel=="preview"
+tab finished
+keep if finished==1
+
+
+sort newid
+quietly by newid:  gen dup = cond(_N==1,0,_n)
+tab dup
+drop if dup!=0 
+
+
+rename q32 attention
+
+g id=_n+10000
+g attentionpassed=attention==3
+keep if attentionpassed==1
+
+***gen IncentiveB
+g incentiveB=.
+replace incentiveB=1 if condition=="choiceFreeB"
+replace incentiveB=1 if condition=="choicePayB"
+replace incentiveB=0 if condition=="choiceFreeA"
+replace incentiveB=0 if condition=="choicePayA"
+
+g incentiveA=.
+replace incentiveA=1 if condition=="choiceFreeA"
+replace incentiveA=1 if condition=="choicePayA"
+replace incentiveA=0 if condition=="choiceFreeB"
+replace incentiveA=0 if condition=="choicePayB"
+
+**Commission
+gen commission="commissionB" if incentiveB==1
+replace commission="commissionA" if incentiveB==0
+
+*Choice before
+g choicebefore=(choicefreeq==1 | choicepay==1)
+
+*Recommendation 
+g recommendb=(recommendationa==2 | recommendationb==2)
+replace recommendb=. if recommendationa==. & recommendationb==.
+g recommenda=1-recommendb	
+
+g recommendincentive=recommendb if commission=="commissionB"
+replace recommendincentive=recommenda if commission=="commissionA"	
+
+
+*Beliefs
+g beliefbin=q45 
+g belief=q43 
+replace belief=q43*100 if q43<1
+
+*Signal
+g signalblue=(fl_298_do=="Signal_blue2" ///
+		| fl_304_do=="Signal_blue2" ///
+		| fl_211_do=="Signal_blue2" ///
+		| fl_221_do=="Signal_blue2" ///
+		| fl_310_do=="Signal_blue2" ///
+		| fl_229_do=="Signal_blue2" ///
+		| fl_325_do=="Signal_blue2" ///
+		| fl_127_do=="Signal_blue2")	
+	
+			
+*Conflict	
+g conflict=0
+replace conflict=1 if signalblue==1 & commission=="commissionA"
+replace conflict=1 if signalblue==0 & commission=="commissionB"
+
+
+*Treatment 
+g treatment="ChoiceFree" if condition=="choiceFreeA" | condition=="choiceFreeB"
+replace treatment="ChoicePay" if condition=="choicePayA" | condition=="choicePayB"
+
+
+*Random assignment to order
+g get=fl_264_do if condition=="choiceFreeA" & choicefreeq==2
+replace get=fl_265_do if condition=="choiceFreeA" & choicefreeq==1
+
+replace get=fl_289_do if condition=="choiceFreeB" & choicefreeq==1
+replace get=fl_287_do if condition=="choiceFreeB" & choicefreeq==2
+
+replace get=fl_342_do if condition=="choicePayA" & choicepayq==2
+replace get=fl_272_do if condition=="choicePayA" & choicepayq==1
+
+replace get=fl_320_do if condition=="choicePayB" & choicepayq==1
+replace get=fl_331_do if condition=="choicePayB" & choicepayq==2
+
+g getafter=(get=="GetAfter") 
+g getbefore=1-getafter
+
+g costlydemand=(condition=="choicePayA" | condition=="choicePayB") 
+g choicewave=1
+
+g study=2 if costlydemand==0
+replace study=3 if costlydemand==1
+
+replace age="51" if age=="51`"
+replace age="" if age=="re"
+destring age, replace
+
+*Prosociality
+destring q82 q83 q84 q85 q176, force replace
+ 		
+forval i=2(1)5{
+recode q8`i' (1=0) (2=1)
+}
+
+rename q82 alpha1
+rename q83 alpha2
+rename q84 alpha3
+rename q85 alpha4
+rename q176 alpha5
+recode alpha5 (1=0) (2=1)
+egen alphamiss=rowmiss(alpha1 alpha2 alpha3 alpha4 alpha5) 
+keep if alphamiss==0
+
+g choice="Choice"
+
+
+drop fl_17_do fl_264_do fl_298_do fl_265_do fl_211_do fl_272_do fl_304_do fl_342_do ///
+*fl_289_do fl_221_do fl_310_do fl_287_do fl_229_do fl_320_do fl_320_do fl_325_do fl_331_do fl_127_do
+	
+ 
+save "${data}choice1.dta", replace
+
+/*-------------------------------*/	
+*PROFESSIONALS STUDY
+/*-------------------------------*/	
+
+*** CLEAN DE_IDENTIFIED DATA
+**PROLIFIC
+clear
+import delimited "${raw}ProfessionalsProlific_deidentified.csv", varnames(1)
+
+drop if status==1
+drop if distributionchannel=="preview"
+keep if finished==1
+sort newid
+quietly by newid:  gen dup = cond(_N==1,0,_n)
+drop if dup>0
+
+
+g sample="Prolific"
+
+
+
+save "${data}professionals_prolific", replace
+
+*CLOUDRESEARCH
+clear
+import delimited "${raw}ProfessionalsCloudresearch_deidentified.csv", varnames(1)
+
+g sample="CloudResearch"
+drop if status==1
+drop if distributionchannel=="preview"
+keep if finished==1
+
+sort newid
+quietly by newid:  gen dup = cond(_N==1,0,_n)
+tab dup
+drop if dup!=0
+
+
+drop fl_17_do fl_481_do fl_523_do fl_528_do fl_548_do fl_555_do fl_563_do fl_657_do fl_629_do fl_656_do fl_642_do
+ 
+rename industry industry_cloudresearch
+append using "${data}professionals_prolific.dta", force
+
+	
+g attentionpassed=attention==3 
+drop if attentionpassed==0
+
+
+*Choice
+g choicebefore=(choicefree==1)
+replace choicebefore=. if choicefree==.
+drop if choicebefore==.
+
+*Beliefs
+g beliefbin=q45 
+g beliefnum=q43
+g belief=q43 
+replace belief=q43*100 if q43<1
+
+*Recommendation 
+g recommendb=(recommendationa==2 | recommendationb==2)
+replace recommendb=. if recommendationa==. & recommendationb==.
+g recommenda=1-recommendb	
+g recommendincentive=recommenda if condition=="choicefreeA"
+replace recommendincentive=recommendb if condition=="choicefreeB"
+		
+*Get before		
+g getafter=(getbefore=="GetAfter") 
+g getbefore2=(getbefore=="GetBefore")
+drop getbefore
+rename getbefore2 getbefore
+
+*Signal
+g signalblue=signal=="Blue"
+
+*Conflict
+g conflict=0
+replace conflict=1 if signalblue==1 & (condition=="choicefreeA")	
+replace conflict=1 if signalblue==0 & (condition=="choicefreeB")	 
+
+g incentiveA=(commission=="commissionA")
+g incentiveB=1-incentiveA
+g costlydemand=0	
+	
+g female=(gender==2)
+	
+g choice="Professionals"
+
+g beliefcorrect=0
+replace beliefcorrect=1 if beliefbin==4 & signalblue==1 /*signal $2, quality low with 25% chance*/
+replace beliefcorrect=1 if beliefbin==8 & signalblue==0 /*signal $0, quality low with 66.7% chance*/
+
+g explanationchoice=q211
+
+destring age, replace
+
+g id=_n+20000
+
+
+
+keep recommendincentive getbefore incentiveB incentiveA ///
+costlydemand choicebefore belief conflict signalblue ///
+female age  sample beliefbin choice beliefcorrect ///
+ newid explanationchoice 	jobtitle industry shortid currentcountr
+ 
+g study=1 
+
+save "${data}professionals.dta", replace
+
+/*-------------------------------*/	
+*PROFESSIONALS - JOB TITLES
+/*-------------------------------*/	
+
+
+clear
+import excel "${raw}Professionals_jobtitles.xlsx", first case(l)
+save "${data}professionals_jobtitles.dta", replace
+
+/*-------------------------------*/	
+*CHOICE 2 - REVERSED
+/*-------------------------------*/	
+*** CLEANING DEIDENTIFIED DATA
+clear
+import delimited "${raw}Choice2_deidentified.csv", varnames(1)
+
+drop if status==1
+
+tab distributionchannel
+drop if distributionchannel=="preview"
+tab finished
+keep if finished==1
+
+sort newid
+quietly by newid:  gen dup = cond(_N==1,0,_n)
+tab dup
+drop if dup>0
+
+
+
+drop if  q_recaptchascore<.50
+
+
+g id=_n+30000
+
+g attention=attention_a
+replace attention=attention_b if attention_b!=.
+replace attention=att_highro if att_highro!=.
+replace attention=att_highflipped if att_highflipped!=.
+drop attention_a attention_b att_highro att_highflipped
+
+g attentionpassed=attention==3 
+tab attentionpassed 
+drop if attentionpassed==0
+rename q211 explanationchoice
+replace explanationchoice=q188 if explanationchoice==""
+drop q188
+
+
+
+*Choice before
+g choicebefore=.
+replace choicebefore=1 if choicefreereghigh==1
+replace choicebefore=0 if choicefreereghigh==2
+
+*Beliefs
+g beliefbin=q45 
+*g beliefnum=q43
+g belief=q43 if incentives=="$0.15 "
+replace belief=q551 if incentives=="$15 "
+replace beliefbin=q550 if incentives=="$15 "
+replace belief=q43*100 if q43<1 
+
+*Recommendation 
+g recommendb=.
+replace recommendb=1 if  recommendationb==2
+replace recommendb=0 if  recommendationb==1
+replace recommendb=1 if  recommendationb_flip==2
+replace recommendb=0 if  recommendationb_flip==1
+
+replace recommendb=1 if  recommendationa==2
+replace recommendb=0 if  recommendationa==1
+replace recommendb=1 if  recommendationa_flip==2
+replace recommendb=0 if  recommendationa_flip==1
+
+g recommenda=1-recommendb	
+
+g recommendincentive=recommendb if commission=="commissionB"
+replace recommendincentive=recommenda if commission=="commissionA"
+
+*Signal
+g signalblue=.
+*replace signalblue=1 if signal=="Blue"
+replace signalblue=1 if fl_272_do=="Signal_blue2"
+replace signalblue=1 if fl_459_do=="Signal_blue2HIGHINCENTIVES"
+replace signalblue=1 if fl_260_do=="Signal_blue2"
+replace signalblue=1 if fl_450_do=="Signal_blue2HIGHINCENTIVES"
+replace signalblue=1 if fl_248_do=="Signal_blue2REVERSEPRODUCTORDER"
+replace signalblue=1 if fl_508_do=="Signal_blue2REVERSEPRODUCTORDER-HIGHINCENTIVES"
+replace signalblue=1 if fl_236_do=="Signal_blue2REVERSEPRODUCTORDER"
+replace signalblue=1 if fl_469_do=="Signal_blue2REVERSEPRODUCTORDER-HIGHINCENTIVES"
+replace signalblue=1 if fl_163_do=="Signal_blue2"
+replace signalblue=1 if fl_476_do=="Signal_blue2HIGHINCENTIVES"
+replace signalblue=1 if fl_151_do=="Signal_blue2"
+replace signalblue=1 if fl_483_do=="Signal_blue2HIGHINCENTIVES"
+replace signalblue=1 if fl_139_do=="Signal_blue2REVERSEPRODUCTORDER"
+replace signalblue=1 if fl_491_do=="Signal_blue2REVERSEPRODUCTORDER-HIGHINCENTIVES"
+replace signalblue=1 if fl_127_do=="Signal_blue2REVERSEPRODUCTORDER"
+replace signalblue=1 if fl_499_do=="Signal_blue2REVERSEPRODUCTORDER-HIGHINCENTIVES"
+replace signalblue=1 if signal=="Blue"
+
+
+
+replace signalblue=0 if fl_272_do=="Signal_red0"
+replace signalblue=0 if fl_459_do=="Signal_red0HIGHINCENTIVES"
+replace signalblue=0 if fl_260_do=="Signal_red0"
+replace signalblue=0 if fl_450_do=="Signal_red0HIGHINCENTIVES"
+replace signalblue=0 if fl_248_do=="Signal_redREVERSEPRODUCTORDER"
+replace signalblue=0 if fl_508_do=="Signal_redREVERSEPRODUCTORDER-HIGHINCENTIVES"
+replace signalblue=0 if fl_236_do=="Signal_redREVERSEPRODUCTORDER"
+replace signalblue=0 if fl_469_do=="Signal_redREVERSEPRODUCTORDER-HIGHINCENTIVES"
+replace signalblue=0 if fl_163_do=="Signal_red0"
+replace signalblue=0 if fl_476_do=="Signal_red0HIGHINCENTIVES"
+replace signalblue=0 if fl_151_do=="Signal_red0"
+replace signalblue=0 if fl_483_do=="Signal_red0HIGHINCENTIVES"
+replace signalblue=0 if fl_139_do=="Signal_redREVERSEPRODUCTORDER"
+replace signalblue=0 if fl_491_do=="Signal_redREVERSEPRODUCTORDER-HIGHINCENTIVES"
+replace signalblue=0 if fl_127_do=="Signal_redREVERSEPRODUCTORDER"
+replace signalblue=0 if fl_499_do=="Signal_redREVERSEPRODUCTORDER-HIGHINCENTIVES"
+replace signalblue=0 if signal=="Red"
+
+
+*Conflict
+g conflict=.
+replace conflict=1 if signalblue==0 & commission=="commissionB"
+replace conflict=0 if signalblue==1 & commission=="commissionB"
+replace conflict=1 if signalblue==1 & commission=="commissionA"
+replace conflict=0 if signalblue==0 & commission=="commissionA"
+
+g incentiveshigh=(incentives=="$15 ")
+g flippedorder=(uncertainproduct=="Product A")
+g costlydemand=0	
+g incentiveA=(commission=="commissionA")
+g incentiveB=1-incentiveA
+
+gen incentiveleft=.
+replace incentiveleft=1 if incentiveB==1 & flippedorder==1
+replace incentiveleft=0 if incentiveB==1 & flippedorder==0
+replace incentiveleft=1 if incentiveA==1 & flippedorder==0
+replace incentiveleft=0 if incentiveA==1 & flippedorder==1
+
+tab condition
+replace condition="ChoiceFree" 
+
+g choicewave=2
+g getafter=(getbefore=="GetAfter") 
+cap drop getbefore
+g getbefore=1-getafter
+g study=4 
+
+
+*Prosociality
+
+
+forval i=2(1)5{
+recode q8`i' (1=0) (2=1)
+}
+forval i=4(1)8{
+recode q54`i' (1=0) (2=1)
+}
+
+g alpha1=q82 if incentiveshigh==0
+replace alpha1=q544 if incentiveshigh==1
+g alpha2=q83 if incentiveshigh==0
+replace alpha2=q545 if incentiveshigh==1
+g alpha3=q84 if incentiveshigh==0
+replace alpha3=q546 if incentiveshigh==1
+g alpha4=q85 if incentiveshigh==0
+replace alpha4=q547 if incentiveshigh==1
+
+g alpha5=v193 if incentiveshigh==0
+recode alpha5 (1=0) (2=1)
+replace alpha5=q548 if incentiveshigh==1
+
+egen alphamiss=rowmiss(alpha1 alpha2 alpha3 alpha4 alpha5) 
+keep if alphamiss==0
+g choice="Choice"
+
+
+drop fl_101_do fl_226_do fl_341_do fl_314_do fl_411_do fl_271_do fl_272_do fl_459_do ///
+fl_259_do fl_260_do fl_450_do fl_247_do fl_248_do fl_508_do fl_235_do fl_236_do fl_469_do /// 
+fl_117_do fl_365_do fl_205_do fl_413_do fl_162_do fl_163_do fl_476_do fl_150_do fl_151_do fl_483_do ///
+fl_138_do fl_139_do fl_491_do fl_126_do fl_127_do fl_499_do 
+
+save "${data}choice2.dta", replace
+
+
+/*-------------------------------*/	
+*CHOICE 3 - wave3
+/*-------------------------------*/	
+
+
+*** CLEANING DEIDENTIFIED DATA
+clear
+import delimited "${raw}Choice3_deidentified.csv", varnames(1)
+
+drop if status==1
+*drop if workerid==""
+tab distributionchannel
+drop if distributionchannel=="preview"
+tab finished
+keep if finished==1
+
+tab attention
+replace attention=q343 if condition=="Highx10" | condition=="Highx100"
+keep if attention!=.
+gen attentionpassed=(attention==3)
+
+tab attentionpassed
+**94.86% passed the attention check (N=2095) out of 2202 who completed the attention check question
+drop if attentionpassed!=1
+
+
+sort newid
+quietly by newid:  gen dup = cond(_N==1,0,_n)
+tab dup
+drop if dup!=0
+
+drop if  q_recaptchascore<.50
+tab status
+
+
+sort startdate
+g id=_n+40000
+
+
+**Beliefs
+replace beliefbin=beliefbin_high if beliefbin==.	
+drop beliefbin_high
+replace belief=belief_high if belief_high!=.
+drop belief_high
+replace belief=belief*100 if belief<1
+
+
+replace age="" if age=="casian"
+destring age, replace
+
+***Gen recommendB and recommenda dummies
+
+g recommendb=.
+replace recommendb=1 if  recommendationb==2
+replace recommendb=0 if  recommendationb==1
+
+replace recommendb=1 if  recommendationa==2
+replace recommendb=0 if  recommendationa==1
+
+
+g recommenda=1-recommendb	
+
+***gen IncentiveB
+g incentiveB=.
+replace incentiveB=1 if commission=="commissionB"
+replace incentiveB=0 if commission=="commissionA"
+
+g incentiveA=.
+replace incentiveA=1 if commission=="commissionA"
+replace incentiveA=0 if commission=="commissionB"
+
+
+*GET by treatment
+g getafter=(getbefore=="GetAfter") 
+cap drop getbefore
+g getbefore=1-getafter
+
+
+**gen bluesignal dummy
+g signalblue=.
+replace signalblue=1 if signal=="Blue"
+replace signalblue=1 if fl_750_do=="SignalBlue_HighIncentives"
+replace signalblue=1 if fl_773_do=="SignalBlue_HighIncentives"
+replace signalblue=1 if fl_785_do=="SignalBlue_HighIncentives"
+replace signalblue=1 if fl_528_do=="Signal_blue2"
+replace signalblue=1 if fl_555_do=="Signal_blue2"
+replace signalblue=1 if fl_555_do=="Signal_blue2"
+replace signalblue=1 if fl_629_do=="Signal_blue2"
+replace signalblue=1 if fl_642_do=="Signal_blue2"
+replace signalblue=0 if signal=="Red"
+replace signalblue=0 if fl_750_do=="SignalRed_highIncentives"
+replace signalblue=0 if fl_773_do=="SignalRed_highIncentives"
+replace signalblue=0 if fl_785_do=="SignalRed_highIncentives"
+replace signalblue=0 if fl_528_do=="Signal_red0"
+replace signalblue=0 if fl_555_do=="Signal_red0"
+replace signalblue=0 if fl_555_do=="Signal_red0"
+replace signalblue=0 if fl_629_do=="Signal_red0"
+replace signalblue=0 if fl_642_do=="Signal_red0"
+
+g conflict=.
+replace conflict=1 if signalblue==0 & commission=="commissionB"
+replace conflict=0 if signalblue==1 & commission=="commissionB"
+replace conflict=1 if signalblue==1 & commission=="commissionA"
+replace conflict=0 if signalblue==0 & commission=="commissionA"
+	
+
+tab commission 
+g recommendincentive=recommendb if commission=="commissionB"
+replace recommendincentive=recommenda if commission=="commissionA"	
+
+
+gen choicebefore=.
+replace choicebefore=1 if choicefree==1
+replace choicebefore=0 if choicefree==2
+replace choicebefore=1 if choicepaybefore==1
+replace choicebefore=0 if choicepaybefore==2
+replace choicebefore=0 if choicepayafter==2
+replace choicebefore=1 if choicepayafter==1
+
+
+
+*** DUMMIES FOR STAKE TREATMENTS
+
+gen HighStakes=""
+replace HighStakes=condition if condition=="Highx10"
+replace HighStakes=condition if condition=="Highx100"
+
+gen Highx10=0
+replace Highx10=1 if  condition=="Highx10"
+gen  Highx100=0
+replace Highx100=1 if  condition=="Highx100"
+
+replace condition="ChoiceFree" if Highx10==1
+replace condition="ChoiceFree" if Highx100==1
+
+
+**Info avoidance
+tab ia_choice
+gen chooseblindness=ia_choice
+replace chooseblindness=0 if ia_choice==2
+tab chooseblindness
+
+gen ia_recommend1=.
+replace ia_recommend1=1 if ia_rec_quality0==1 | ia_recq2==1 | ia_rec_both2==1 | ia_rec_both0==1
+replace ia_recommend1=0 if ia_rec_quality0==2 | ia_recq2==2 | ia_rec_both2==2 | ia_rec_both0==2
+
+gen ia_recommendincentive=1 if ia_recommend1==1 & ia_incentive=="Product 1"
+replace ia_recommendincentive=0 if ia_recommend1==0 & ia_incentive=="Product 1"
+replace ia_recommendincentive=1 if ia_recommend1==0 & ia_incentive=="Product 2"
+replace ia_recommendincentive=0 if ia_recommend1==1 & ia_incentive=="Product 2"
+
+
+
+
+***Prosociality
+forval i=1(1)5{
+recode alpha`i' (1=0) (2=1)
+}	
+
+egen alphamiss=rowmiss(alpha1 alpha2 alpha3 alpha4) 
+keep if alphamiss==0
+
+gen study=6
+rename q211 explanationchoice
+gen costlydemand=0
+replace costlydemand=1 if condition=="PayBefore"
+
+
+g sample="MTurk"
+	
+
+
+drop fl_728_do fl_816_do fl_737_do fl_759_do fl_750_do fl_761_do fl_773_do fl_778_do ///
+ fl_785_do fl_793_do fl_800_do fl_825_do fl_837_do fl_903_do fl_843_do fl_870_do fl_850_do ///
+fl_880_do fl_855_do fl_889_do fl_17_do fl_481_do fl_523_do fl_528_do fl_548_do fl_555_do ///
+ fl_563_do fl_657_do fl_629_do fl_656_do fl_642_do fl_933_do fl_916_do fl_935_do
+
+g choice="Choice"
+save "${data}choice3.dta", replace
+
+	
+	
+/*-------------------------------*/	
+*POOLING ALL CHOICE WAVES INTO 1 DATASET
+/*-------------------------------*/	
+		
+
+	u "${data}choice1.dta", clear
+	append using "${data}choice2.dta" 
+	append using "${data}choice3.dta"
+
+	*Prosociality - switch point 
+	reshape long alpha, i(id) j(number)
+			
+	sort id number		
+	g previouschoice=alpha[_n-1] if number>1		
+	g steptob=(alpha-previouschoice) if number>1
+	bys id: egen sumsteptob=total(steptob) 
+
+	*Alpha value final = number of times you go with the incentive to recommend Y
+	g alphavalue=0 if sumsteptob==0 & alpha==0 & number==5 /*always choosing X, no incentive*/
+	replace alphavalue=5 if sumsteptob==0 & alpha==1 & number==5 /*always choosing Y, incentive*/
+	*Alpha value is the question number when the steptob is 1 for those who switch
+	replace alphavalue=number-1 if sumsteptob==1 & steptob==1 
+
+	g inconsistentchoice=(steptob==-1)
+	bys id: egen inconsistentid=total(inconsistentchoice) 
+
+	bys id: egen alphavaluefinal=total(alphavalue) 
+	replace alphavaluefinal=. if inconsistentid>0
+
+	cap drop alphavalue inconsistentchoice previouschoice steptob 
+
+	reshape wide alpha, i(id) j(number)
+
+
+	*ATTENTIVE GUYS are DROPPED FOR INCOMPLETE ANSWERS
+	*KEEP CONSISTENT GUYS IN ALPHA TASK		
+	tab alphavaluefinal, m
+	egen stdalpha=std(alphavaluefinal)
+
+	gen selfish=(alphavaluefinal>3)
+	replace selfish=. if alphavaluefinal==.
+		
+	*tab attention0, m
+	*keep if attention0==1
+			
+	destring gender age englishnative difficulty, force replace 
+	g female=(gender==2)
+	recode englishnative (2=0)
+	g nodifficulty=(difficulty==2)
+	replace nodifficulty=. if difficulty==.
+
+	label var female "Female"
+	label var age "Age"
+
+	g beliefcorrect=0
+	replace beliefcorrect=1 if beliefbin==4 & signalblue==1
+	replace beliefcorrect=1 if beliefbin==8 & signalblue==0
+
+	replace sample="MTurk"
+	
+	replace incentiveleft=0 if study!=4
+	replace incentiveshigh=0 if study!=4
+	
+	drop if choicebefore==.
+	tab condition, m
+	replace condition="ChoiceFree" if condition=="choiceFreeA"
+	replace condition="ChoiceFree" if condition=="choiceFreeB"
+	replace condition="PayBefore" if condition=="choicePayA"
+	replace condition="PayBefore" if condition=="choicePayB"
+
+		
+keep id startdate enddate attentionpassed recommendincentive getbefore incentiveB incentiveA commission costlydemand ///
+choicebefore belief beliefbin conflict signalblue female age selfish stdalpha ///
+alphavaluefinal beliefcorrect newid shortid ///
+sample choice incentiveshigh flippedorder /// 
+incentiveleft condition study  Highx10 Highx100 chooseblindness 
+
+append using "${data}professionals.dta"
+
+rename costlydemand incentivecostly
+	g qualitycostly=0
+	replace qualitycostly=1 if condition=="PayAfter"
+
+g professionals=(study==1)
+g prolific=(sample=="Prolific")
+g cloudresearch=(sample=="CloudResearch")
+gen professionalscloudresearch=0 if professionals==1 & cloudresearch==1
+replace professionalscloudresearch=1 if professionals==1 & cloudresearch==1
+replace incentiveshigh=0 if incentiveshigh==.
+replace incentiveleft=0 if incentiveleft==.
+replace Highx10=0 if Highx10==.
+replace Highx100=0 if Highx100==.
+g mturkwave=.
+replace mturkwave=1 if study==2 | study==3
+replace mturkwave=2 if study==4
+replace mturkwave=3 if study==6
+
+***drop 1 participant <18 to comply w IRB rules
+drop if age<18
+replace age=. if age==545
+
+
+replace condition="ChoiceFree_Professionals" if study==1
+tab condition
+
+drop if choicebefore==.
+
+replace study=7 if study==6 & condition=="PayBefore"
+replace study=8 if study==6 & condition=="PayAfter"
+
+** waves
+g wave1=(study==2 | study==3)
+g wave2=(study==4)
+g wave3=(study==6 | study==7 | study==8)
+
+**professionals cloudresearch
+replace professionalscloudresearch=0 if professionalscloudresearch==.
+
+**probabilistic incentives
+g probabilistic_incentive=1 if incentiveshigh==1
+replace probabilistic_incentive=1 if professionals==1
+replace probabilistic_incentive=0 if professionals==0 & incentiveshigh==0
+
+**locatedUS
+
+	g locatedus=1 if study>1
+	replace locatedus=1 if study==1 & prolific==0
+	replace locatedus=1 if study==1 & prolific==1 & currentcountryofresidence=="United States"
+	replace locatedus=0 if study==1 & prolific==1 & currentcountryofresidence!="United States"
+	drop currentcountryofresidence
+
+**For appendix
+g wave="AMT-1" if wave1==1
+replace wave="AMT-2" if wave2==1
+replace wave="AMT-3" if wave3==1
+replace wave="Prolific/CloudResearch" if study==1
+
+g incentivedesign="0.15" if wave1==1
+replace incentivedesign="15 (to 1 out of 100)" if incentiveshigh==1 | wave=="Prolific/CloudResearch"
+replace incentivedesign="1.50" if Highx10==1
+replace incentivedesign="15 (to everyone)" if Highx100==1
+replace incentivedesign="0.15" if wave2==1 & incentiveshigh==0
+replace incentivedesign="0.15" if wave3==1 & Highx10==0 & Highx100==0
+
+g year=2019 if wave1==1
+replace year=2020 if wave2==1 | wave=="Prolific/CloudResearch"
+replace year=2021 if wave3==1
+
+
+g treatment=0 if condition=="ChoiceFree"
+replace treatment=1 if  professionals==1
+replace treatment=2 if condition=="PayBefore" 
+replace treatment=3 if condition=="PayAfter"
+gen selfishseeincentivecostly=stdalpha*incentivecostly
+gen selfishseequalitycostly=stdalpha*qualitycostly
+
+gen committ=1-choicebefore
+
+*Separate dummies, instead of factor variables in regression
+g professionalsfree=(professionals==1)
+g seeincentivecostly=condition=="PayBefore" 
+g seequalitycostly=condition=="PayAfter"
+g incentiveshigh_incentiveleft=incentiveshigh*incentiveleft
+
+*blinding
+
+g avoid_incentiveinfo=(chooseblindness==1)
+replace avoid_incentiveinfo=. if chooseblindness==.
+gen choiceafter=1-choicebefore
+
+**Recommendations
+***Gen indicator for whether participants get their desired choice of info order
+gen getyourchoice=0
+replace getyourchoice=1 if choicebefore==1 & getbefore==1
+replace getyourchoice=1 if choicebefore==0 & getbefore==0
+label var getyourchoice "Random Assignment to Preferred Order"
+
+g choicebefore_getyourchoice=choicebefore*getyourchoice	
+label var choicebefore_getyourchoice "Prefer to See Incentive First X Random Assignment"
+
+
+g getbeforenoconflict=getbefore*(1-conflict)	
+g noconflict=1-conflict
+g choicebeforenoconflict=choicebefore*(1-conflict)
+
+g choicebefore_getbefore=choicebefore*getbefore
+g choicebefore_getbefore_nocon=choicebefore*getbefore*(1-conflict)
+
+g notgetyourchoice=(1-getyourchoice)
+g notgetyourchoicenoconflict=(1-getyourchoice)*(1-conflict)
+g choicebeforenotgetyourchoice=notgetyourchoice*choicebefore
+
+gen choicebeforegetbefore=choicebefore*getbefore
+
+***Beliefs
+g logsignalhigh=-log(2) /*prob signal H if q=L 0.4 / prob signal H if q=H 0.8 --> log(1/2)=-log(2)*/
+g logsignallow=log(3) /*prob signal L if q=L 0.6 / prob signal L if quality H 0.2 --> log(3) */
+
+g logitbelief=log(belief/(100-belief))	/*that B is low quality*/
+
+
+g good=0
+replace good=logsignallow if incentiveA==1 & signalblue==0
+replace good=logsignalhigh if incentiveB==1 & signalblue==1
+g bad=0
+replace bad=logsignallow if incentiveB==1 & signalblue==0
+replace bad=logsignalhigh if incentiveA==1 & signalblue==1
+
+g goodchoicebefore=good*choicebefore 
+g badchoicebefore=bad*choicebefore 
+
+g goodgetyourchoice=good*getyourchoice
+g badgetyourchoice=bad*getyourchoice
+
+g goodnotgetyourchoice=good*(1-getyourchoice)
+g badnotgetyourchoice=bad*(1-getyourchoice)
+
+g goodchoicebeforenotgetyourchoice=good*(1-getyourchoice)*choicebefore
+g badchoicebeforenotgetyourchoice=bad*(1-getyourchoice)*choicebefore
+
+g bayesianposterior=33 if signalblue==1
+replace bayesianposterior=75 if signalblue==0
+
+label var good "Good news (log odds incl.)"
+label var bad "Bad news (log odds incl.)"
+label var badchoicebefore "Bad news (log) X Pref Inc 1st"
+label var goodchoicebefore "Good news (log) X Pref Inc 1st"
+label var goodgetyourchoice "Good news (log) X Get Choice"
+label var badgetyourchoice "Bad news (log) X Get Choice"
+label var goodnotgetyourchoice "Good news (log) X Not Get Choice"
+label var badnotgetyourchoice "Bad news (log) X Not Get Choice"
+label var goodchoicebeforenotgetyourchoice "Good news (log) X Prefer Inc 1st X Not Get Choice"
+label var badchoicebeforenotgetyourchoice "bad news (log) X Prefer Inc 1st X Not Get Choice"
+label var bayesianposterior "Bayesian Posterior"
+
+g badsignal=0
+replace badsignal=1 if incentiveB==1 & signalblue==0
+replace badsignal=1 if incentiveA==1 & signalblue==1 
+			
+
+*Gen variables for those who update in correct direction
+*belief is likelihood that quality is LOW, so if signal is blue($2), likelihood should be 25
+g updatecorrect=(belief<50) if signalblue==1
+replace updatecorrect=(belief>50) if signalblue==0
+
+g updatedirection=1 if signalblue==1 & belief<50
+replace updatedirection=1 if signalblue==0 & belief>50
+replace updatedirection=0 if belief==50
+replace updatedirection=-1 if belief>50 & signalblue==1
+replace updatedirection=-1 if belief<50 & signalblue==0
+
+g updatewrong=(updatedirection==-1)
+
+**cumulative beliefs distance
+g beliefdistance=belief-33.3 if signalblue==1 /*positive difference=too little updating*/
+replace beliefdistance=75-belief if signalblue==0 /*positive difference=too little updating*/
+
+g relbeliefdistance=(50-belief)/(50-33) if signalblue==1
+replace relbeliefdistance=(50-belief)/(50-75) if signalblue==0
+
+**correct direction - incentivized measure
+*Prob quality of B is low, bin #5 - 41-50%
+
+g correctdirbin=0
+replace correctdirbin=1 if signalblue==1 & beliefbin<6 & beliefbin!=. /*if signal is blue, $2, it decreases*/
+replace correctdirbin=1 if signalblue==0 & beliefbin>4 & beliefbin!=. /*if signal is blue, $0, it decreases*/
+
+*correct bin - incentivized measure
+g beliefinbin=0
+replace beliefinbin=1 if belief<11 & beliefbin==1
+replace beliefinbin=1 if belief>10 & belief<21 & beliefbin==2
+replace beliefinbin=1 if belief>20 & belief<31 & beliefbin==3
+replace beliefinbin=1 if belief>30 & belief<41 & beliefbin==4
+replace beliefinbin=1 if belief>40 & belief<51 & beliefbin==5
+replace beliefinbin=1 if belief>50 & belief<61 & beliefbin==6
+replace beliefinbin=1 if belief>60 & belief<71 & beliefbin==7
+replace beliefinbin=1 if belief>70 & belief<81 & beliefbin==8
+replace beliefinbin=1 if belief>80 & belief<91 & beliefbin==9
+replace beliefinbin=1 if belief>90 & belief!=. & beliefbin==10
+replace beliefinbin=. if belief==. | beliefbin==. 
+
+** belief at prior
+
+g belief_prior=0
+replace belief_prior=1 if beliefbin==5
+replace belief_prior=. if beliefbin==.
+
+*** belief at prior - continuous
+g belief_prior_continuos=0
+replace belief_prior_continuos=1 if belief==50
+replace belief_prior_continuos=. if belief==.
+
+drop newid 
+
+save "${data}choice_experiments.dta", replace
+
+
+/*-----CHOICE - CODED EXPLANATIONS OF CHOICE -------*/
+*IMPORT EXPLANATIONS CSV
+clear
+import excel "${raw}Choice_explanations_deidentified.xlsx", first case(l)		
+save "${data}coding_explanations.dta", replace
+
+u "${data}choice_experiments.dta", clear
+keep if mturkwave==2 | professionals==1
+rename id participant_id 
+g id=shortid 
+bys id: egen countid=count(id) 
+tab countid study
+drop if alphavaluefinal==. & study!=1
+
+merge 1:m shortid using "${data}coding_explanations.dta", force
+rename _merge _mergedecisions
+keep if _mergedecisions==3
+tab countid study if rater==1
+
+replace condition="ChoiceFree_Professionals" if study==1
+egen rowsum=rowtotal(limitbias nomatter commission_expl feeling other)
+
+g mergedcategory=1 if limitbias==1 & rowsum<2
+replace mergedcategory=2 if nomatter==1 & rowsum<2
+replace mergedcategory=3 if commission_expl==1 & rowsum<2
+replace mergedcategory=4 if (feeling==1 | other==1) & (rowsum==1 | rowsum==2)
+replace mergedcategory=5 if rowsum==0
+replace mergedcategory=6 if rowsum>1 & limitbias==1 & nomatter==1
+replace mergedcategory=7 if rowsum>1 & limitbias==1 & commission_expl==1
+replace mergedcategory=8 if rowsum>1 & limitbias==1 & (feeling==1 | other==1)
+replace mergedcategory=9 if rowsum>1 & commission_expl==1 & nomatter==1
+replace mergedcategory=10 if rowsum>1 & nomatter==1 & (feeling==1 | other==1)		
+replace mergedcategory=11 if rowsum>1 & commission_expl==1 & (feeling==1 | other==1)
+
+g otherreason=(other==1 | feeling==1)
+
+reshape wide limitbias nomatter commission_expl feeling other comments rowsum ///
+	mergedcategory otherreason, i(shortid) j(rater)
+	
+g nocategory1=(limitbias1==0 & nomatter1==0 & commission_expl1==0 & otherreason1==0)
+g nocategory2=(limitbias2==0 & nomatter2==0 & commission_expl2==0 & otherreason2==0)
+	
+foreach v of newlist limitbias nomatter commission_expl feeling other otherreason nocategory {
+egen `v'=rowmean(`v'1 `v'2)
+}
+egen mergedcategory=rowmean(mergedcategory1 mergedcategory2)
+
+drop shortid
+
+save "${data}Choice_coding_explanations.dta", replace
+
+
+
+/*-------------------------------*/	
+*STAKES STUDY
+/*-------------------------------*/	
+
+
+*** CLEANING DEIDENTIFIED DATA
+clear
+import delimited "${raw}Stakes_deidentified.csv", varnames(1)
+
+drop if status==1
+tab distributionchannel
+drop if distributionchannel=="preview"
+tab finished
+keep if finished==1
+
+g attentionpassed=attention==3 
+keep if attentionpassed==1
+
+
+sort newid
+quietly by newid:  gen dup = cond(_N==1,0,_n)
+tab dup
+drop if dup!=0
+
+drop if  q_recaptchascore<.50
+
+g id=_n+50000
+
+
+*Treatment
+g condition2=0.30 if condition=="PayBefore_HighCommission"
+replace condition2=0.15 if condition=="PayBefore_main"
+replace condition2=0.01 if condition=="PayBeforeLowCommission"
+
+recode choicepaybefore (2=0)
+recode choicehighcommission (2=0)
+recode choicelowcommission (2=0)
+
+g choicebefore=choicepaybefore if condition=="PayBefore_main"
+replace choicebefore=choicehighcommission if condition=="PayBefore_HighCommission"
+replace choicebefore=choicelowcommission if condition=="PayBeforeLowCommission"
+
+*Signal
+g signalblue=(signal=="Blue")
+
+*Beliefs
+g beliefbin=q45		
+g belief=q43
+
+g beliefcorrect=0
+replace beliefcorrect=1 if beliefbin==4 & signalblue==1
+replace beliefcorrect=1 if beliefbin==8 & signalblue==0
+
+*Recommendation
+g recommendb=(recommendationa==2 | recommendationb==2)
+g recommenda=1-recommendb	
+g recommendincentive=recommenda if commission=="commissionA"
+replace recommendincentive=recommendb if commission=="commissionB"
+
+
+			
+*Conflict
+g conflict=0
+replace conflict=1 if signalblue==1 & commission=="commissionA"
+replace conflict=1 if signalblue==0 & commission=="commissionB"	 
+
+*Get before
+g getbeforenum=(fl_523_do=="GetBeforeIncentiveforA" | ///
+				fl_548_do=="GetBeforeIncentiveforA" |  ///
+				fl_657_do=="GetBeforeIncentiveforB" | ///
+				fl_656_do=="GetBeforeIncentiveforB" )
+drop getbefore
+rename getbeforenum getbefore
+
+destring age, replace
+
+**Gender
+gen female=.
+replace female=1 if gender==2
+replace female=0 if gender==1
+
+*Prosociality
+forval i=2(1)5{
+recode q8`i' (1=0) (2=1)
+}
+
+rename q82 alpha1
+rename q83 alpha2
+rename q84 alpha3
+rename q85 alpha4
+rename q176 alpha5
+recode alpha5 (1=0) (2=1)
+
+egen alphamiss=rowmiss(alpha1 alpha2 alpha3 alpha4) 
+keep if alphamiss==0
+
+*Prosociality - switch point 
+	reshape long alpha, i(id) j(number)
+			
+	sort id number		
+	g previouschoice=alpha[_n-1] if number>1		
+	g steptob=(alpha-previouschoice) if number>1
+	bys id: egen sumsteptob=total(steptob) 
+
+	*Alpha value final = number of times you go with the incentive to recommend Y
+	g alphavalue=0 if sumsteptob==0 & alpha==0 & number==5 /*always choosing X, no incentive*/
+	replace alphavalue=5 if sumsteptob==0 & alpha==1 & number==5 /*always choosing Y, incentive*/
+	*Alpha value is the question number when the steptob is 1 for those who switch
+	replace alphavalue=number-1 if sumsteptob==1 & steptob==1 
+
+	g inconsistentchoice=(steptob==-1)
+	bys id: egen inconsistentid=total(inconsistentchoice) 
+
+	bys id: egen alphavaluefinal=total(alphavalue) 
+	replace alphavaluefinal=. if inconsistentid>0
+
+	cap drop alphavalue inconsistentchoice previouschoice steptob 
+
+	reshape wide alpha, i(id) j(number)
+
+
+	*ATTENTIVE GUYS are DROPPED FOR INCOMPLETE ANSWERS
+	*KEEP CONSISTENT GUYS IN ALPHA TASK		
+	tab alphavaluefinal, m
+	gen selfish=(alphavaluefinal>3)
+	replace selfish=. if alphavaluefinal==.
+		
+g choice="Stakes"
+
+drop if choicebefore==.
+
+g conditionnum=1 if condition=="PayBeforeLowCommission"
+replace conditionnum=2 if condition=="PayBefore_main"
+replace conditionnum=3 if condition=="PayBefore_HighCommission"
+
+keep if conditionnum!=.
+
+label var female "Female"
+label var age "Age"
+
+replace age=61 if age==611
+		
+g commissionlow=conditionnum==1
+g commissionintermediate=conditionnum==2
+g commissionhigh=conditionnum==3
+		
+g noconflict=1-conflict
+g choicebeforenoconflict=choicebefore*noconflict
+g incentiveB=commission=="commissionB"
+
+g getyourchoice=0
+replace getyourchoice=1 if choicebefore==1 & getbefore==1
+replace getyourchoice=1 if choicebefore==0 & getbefore==0
+
+g notgetyourchoice=1-getyourchoice
+g choicebeforenotgetyourchoice=choicebefore*notgetyourchoice
+g notgetyourchoicenoconflict=noconflict*notgetyourchoice
+
+g commissionlowchoicebefore=commissionlow*choicebefore
+g commissionhighchoicebefore=commissionhigh*choicebefore
+
+egen stdalpha=std(alphavaluefinal)
+
+
+drop responseid newid    
+drop   distributionchannel userlanguage
+drop fl_17_do fl_481_do fl_523_do fl_528_do fl_548_do fl_555_do fl_563_do fl_657_do fl_629_do fl_656_do fl_642_do
+
+
+save "${data}stakes.dta", replace
+
+
+/*-------------------------------*/	
+* INFORMATION ARCHITECT STUDY
+/*-------------------------------*/	
+
+*** INFORMATION ARCHITECTS*****
+
+*** CLEANING DEIDENTIFIED DATA
+clear
+import delimited "${raw}InformationArchitect_deidentified.csv", varnames(1)
+
+
+drop if status==1
+tab distributionchannel
+drop if distributionchannel=="preview"
+tab finished
+keep if finished==1
+
+
+sort newid
+quietly by newid:  gen dup = cond(_N==1,0,_n)
+tab dup
+drop if dup!=0
+
+drop if  q_recaptchascore<.50
+
+
+gen attentionpassed=.
+replace attentionpassed=1 if attention==3
+replace attentionpassed=0 if attention==1 | attention==2 | attention==4 
+tab attentionpassed
+**92.11% passed the attention check (N=549) out of 602 who completed the attention check question
+
+
+drop if attentionpassed!=1
+sort startdate
+gen id=_n+70000
+
+** condition
+replace condition="IA-Advisor" if condition=="DM-Advisor"
+replace condition="IA-Client" if condition=="DM-Client"
+
+
+**Gender
+gen female=.
+replace female=1 if gender==2
+replace female=0 if gender==1
+
+**Age
+destring age, replace
+
+gen choicebefore=0
+replace choicebefore=1 if condition=="IA-Advisor" & choicedmadvisor==1
+replace choicebefore=1 if condition=="IA-Client" & choicedmclient==1
+
+***Prosociality
+
+
+forval i=1(1)5{
+	recode alpha`i' (1=0) (2=1)
+	}
+
+egen alphamiss=rowmiss(alpha1 alpha2 alpha3 alpha4) 
+keep if alphamiss==0
+
+reshape long alpha, i(id) j(number)
+
+
+sort id number		
+	g previouschoice=alpha[_n-1] if number>1		
+	g steptob=(alpha-previouschoice) if number>1
+	bys id: egen sumsteptob=total(steptob) 
+
+	g alphavalue=0 if sumsteptob==0 & alpha==0 & number==5 /*always choosing X, no incentive*/
+	replace alphavalue=5 if sumsteptob==0 & alpha==1 & number==5 /*always choosing Y, incentive*/
+	replace alphavalue=number-1 if sumsteptob==1 & steptob==1 
+
+	g inconsistentchoice=(steptob==-1)
+	bys id: egen inconsistentid=total(inconsistentchoice) 
+
+	bys id: egen alphavaluefinal=total(alphavalue) 
+	replace alphavaluefinal=. if inconsistentid>0
+	
+cap drop alphavalue inconsistentchoice previouschoice steptob 
+
+	reshape wide alpha, i(id) j(number)
+	
+gen study=9
+
+sort choicebefore alphavaluefinal
+gen missingalpha=0
+replace missingalpha=1 if alphavaluefinal==.
+sort missingalpha choicebefore
+gen id_pair=_n
+
+
+gen IAAdvisor=(condition=="IA-Advisor")
+gen IAClient=(condition=="IA-Client")
+
+drop newid
+
+save "${data}InformationArchitect.dta", replace
+
+*** ADVISORS*****
+
+*** CLEANING DEIDENTIFIED DATA
+clear
+import delimited "${raw}InformationArchitect_Advisor_deidentified.csv", varnames(1)
+
+
+drop if status==1
+tab distributionchannel
+drop if distributionchannel=="preview"
+tab finished
+keep if finished==1
+
+
+**Gender
+gen female=.
+replace female=1 if gender==2
+replace female=0 if gender==1
+
+**Age
+destring age, replace
+
+**Signal Blue
+gen signalblue=.
+replace signalblue=1 if fl_211_do=="Signal_blue2"
+replace signalblue=0 if fl_211_do=="Signal_red0"
+replace signalblue=1 if fl_221_do=="Signal_blue2"
+replace signalblue=0 if fl_221_do=="Signal_red0"
+replace signalblue=1 if fl_229_do=="Signal_blue2"
+replace signalblue=0 if fl_229_do=="Signal_red0"
+replace signalblue=1 if fl_127_do=="Signal_blue2"
+replace signalblue=0 if fl_127_do=="Signal_red0"
+
+**Beliefs
+g beliefcorrect=0
+replace beliefcorrect=1 if beliefbin==4 & signalblue==1
+replace beliefcorrect=1 if beliefbin==8 & signalblue==0
+
+*Recommendation
+g recommendb=(recommendationa==2 | recommendationb==2)
+
+*Conflict
+gen conflict=0
+replace conflict=1 if condition=="AfterA" & signalblue==1
+replace conflict=1 if condition=="AfterB" & signalblue==0
+replace conflict=1 if condition=="BeforeA" & signalblue==1
+replace conflict=1 if condition=="BeforeB" & signalblue==0
+
+**gen id
+gen id_advisor=_n+75000
+
+
+**Prosociality
+forval i=1(1)5{
+	recode alpha`i' (1=0) (2=1)
+	}
+
+
+reshape long alpha, i(id_advisor) j(number)
+				
+		sort id_advisor number		
+		g previouschoice=alpha[_n-1] if number>1		
+
+		g steptob=(alpha-previouschoice) if number>1
+		bys id_advisor: egen sumsteptob=total(steptob) 
+	
+	*Alpha value final = number of times you go with the incentive to recommend Y
+	g alphavalue=0 if sumsteptob==0 & alpha==0 & number==5 /*always choosing X, no incentive*/
+	replace alphavalue=5 if sumsteptob==0 & alpha==1 & number==5 /*always choosing Y, incentive*/
+	*Alpha value is the question number when the steptob is 1 for those who switch
+	replace alphavalue=number-1 if sumsteptob==1 & steptob==1 
+
+	g inconsistentchoice=(steptob==-1)
+	bys id_advisor: egen inconsistentid=total(inconsistentchoice) 
+
+	bys id_advisor: egen alphavaluefinal=total(alphavalue) 
+	replace alphavaluefinal=. if inconsistentid>0
+	
+cap drop alphavalue inconsistentchoice previouschoice steptob 
+
+	reshape wide alpha, i(id_advisor) j(number)
+	
+gen study=9
+
+tab conflict
+
+*Recommend incentive
+gen recommendincentive=0                             
+replace recommendincentive=1 if (condition=="AfterA" | condition=="BeforeA" ) & recommendb==0
+replace recommendincentive=1 if (condition=="AfterB" | condition=="BeforeB" ) & recommendb==1
+
+gen treatment=0
+replace treatment =1 if condition=="BeforeA" | condition=="BeforeB"
+replace treatment =2 if condition=="AfterA" | condition=="AfterB"
+
+gen incentiveforA=.
+replace incentiveforA=1 if  (condition=="AfterA" | condition=="BeforeA" ) 
+replace incentiveforA=0 if  (condition=="AfterB" | condition=="BeforeB" ) 
+
+gen incentiveB=1-incentiveforA
+
+drop newid
+
+save "${data}InformationArchitect_advisors.dta", replace
+
+
+	
+******* APPENDIX *********
+	
+/*-------------------------------*/	
+*NO CHOICE - TOGETHER for APPENDIX
+/*-------------------------------*/	
+
+clear
+import delimited "${raw}NoChoiceSimoultaneous_deidentified.csv", varnames(1)
+
+
+drop if status==1
+*drop if workerid==""
+tab distributionchannel
+drop if distributionchannel=="preview"
+tab finished
+keep if finished==1
+
+
+sort newid
+quietly by newid:  gen dup = cond(_N==1,0,_n)
+tab dup
+drop if dup!=0
+
+rename q32 attention
+
+g attentionpassed=attention==3
+keep if attentionpassed==1
+
+
+tab q_recaptchascore
+drop if q_recaptchascore<.5
+
+
+sort startdate
+gen id=_n + 80000
+
+
+*Beliefs
+g beliefbin=q45 
+g beliefnum=q43
+
+**Gender
+gen female=.
+replace female=1 if gender==2
+replace female=0 if gender==1
+
+
+
+gen treatment=0
+replace treatment =1 if condition=="BeforeA" | condition=="BeforeB"
+replace treatment =2 if condition=="AfterA" | condition=="AfterB"
+replace treatment =3 if condition=="TogetherA" | condition=="TogetherB"
+
+
+g recommendb=(recommendationa==2 | recommendationb==2)
+
+
+gen signalblue=.
+replace signalblue=1 if fl_259_do=="All-Signalblue-incentiveA"
+replace signalblue=0 if fl_259_do=="All-Signalred-incentiveA"
+replace signalblue=0 if fl_268_do=="All-Signalred-incentiveB"
+replace signalblue=1 if fl_268_do=="All-Signalblue-incentiveB"
+replace signalblue=1 if fl_211_do=="Signal_blue2"
+replace signalblue=0 if fl_211_do=="Signal_red0"
+replace signalblue=1 if fl_221_do=="Signal_blue2"
+replace signalblue=0 if fl_221_do=="Signal_red0"
+replace signalblue=1 if fl_229_do=="Signal_blue2"
+replace signalblue=0 if fl_229_do=="Signal_red0"
+replace signalblue=1 if fl_127_do=="Signal_blue2"
+replace signalblue=0 if fl_127_do=="Signal_red0"
+
+gen conflict=0
+replace conflict=1 if cond=="AfterA" & signalblue==1
+replace conflict=1 if cond=="AfterB" & signalblue==0
+replace conflict=1 if cond=="BeforeA" & signalblue==1
+replace conflict=1 if cond=="BeforeB" & signalblue==0
+replace conflict=1 if cond=="TogetherA" & signalblue==1
+replace conflict=1 if cond=="TogetherB" & signalblue==0
+
+
+tab conflict
+
+gen recommendincentive=0                             
+replace recommendincentive=1 if (cond=="AfterA" | cond=="BeforeA" | cond=="TogetherA") & recommendb==0
+replace recommendincentive=1 if (cond=="AfterB" | cond=="BeforeB" | cond=="TogetherB") & recommendb==1
+
+gen incentiveforA=.
+replace incentiveforA=1 if  (cond=="AfterA" | cond=="BeforeA" | cond=="TogetherA") 
+replace incentiveforA=0 if  (cond=="AfterB" | cond=="BeforeB" | cond=="TogetherB") 
+
+gen incentiveB=1-incentiveforA
+
+*Prosociality 		
+forval i=2(1)5{
+recode q8`i' (1=0) (2=1)
+}
+
+rename q82 alpha1
+rename q83 alpha2
+rename q84 alpha3
+rename q85 alpha4
+rename q176 alpha5
+recode alpha5 (1=0) (2=1)
+
+egen alphamiss=rowmiss(alpha1 alpha2 alpha3 alpha4) 
+tab alphamiss
+
+*alpha1-5 equal 1 is recommend the incentivized option 
+
+*RESTRICTING RESPONDENTS TO THOSE WITH COMPLETE ALPHA CHOICES
+keep if alphamiss==0
+
+*Prosociality switch 
+reshape long alpha, i(id) j(number)
+	
+sort id number		
+g previouschoice=alpha[_n-1] if number>1		
+g steptob=(alpha-previouschoice) if number>1
+bys id: egen sumsteptob=total(steptob) 
+
+*Alpha value final = number of times you go with the incentive to recommend Y
+g alphavalue=0 if sumsteptob==0 & alpha==0 & number==5 /*always choosing X, no incentive*/
+replace alphavalue=5 if sumsteptob==0 & alpha==1 & number==5 /*always choosing Y, incentive*/
+*Alpha value is the question number when the steptob is 1 for those who switch
+replace alphavalue=number-1 if sumsteptob==1 & steptob==1 
+
+g inconsistentchoice=(steptob==-1)
+bys id: egen inconsistentid=total(inconsistentchoice) 
+
+bys id: egen alphavaluefinal=total(alphavalue) 
+replace alphavaluefinal=. if inconsistentid>0
+
+tab alphavaluefinal, m
+cap drop alphavalue inconsistentchoice previouschoice steptob
+reshape wide alpha, i(id) j(number)
+
+*alpha
+tab alphavaluefinal if treatment!=., m
+
+
+gen seeincentivefirst=(treatment==1)
+
+gen Together=(treatment==3)
+
+gen noconflict=1-conflict
+
+gen wave=2
+
+
+gen missingalpha=(alphavaluefinal==.)
+
+drop responseid newid shortid
+
+save "${data}NoChoiceSimoultaneous.dta", replace
+
+	
+/*-------------------------------*/	
+*CHOICE DETERMINISTIC
+/*-------------------------------*/	
+
+clear
+import delimited "${raw}ChoiceDeterministic_deidentified.csv", varnames(1)
+
+
+drop if status==1
+tab distributionchannel
+drop if distributionchannel=="preview"
+tab finished
+keep if finished==1
+
+
+sort newid
+quietly by newid:  gen dup = cond(_N==1,0,_n)
+tab dup
+drop if dup!=0
+
+drop if  q_recaptchascore<.50
+
+
+g id=_n + 90000
+tab attention, m
+g attentionpassed=attention==3
+
+tab attentionpassed
+**78.89% passed the attention check (N=953) out of 1200 who completed the attention check question and were not excluded according to the criteria above
+drop if attentionpassed!=1
+
+
+tab belief
+replace belief=belief*100 if belief<1
+
+***Gen recommendB and recommenda dummies
+
+g recommendb=.
+replace recommendb=1 if  recommendationb==2
+replace recommendb=0 if  recommendationb==1
+
+replace recommendb=1 if  recommendationa==2
+replace recommendb=0 if  recommendationa==1
+
+
+g recommenda=1-recommendb	
+
+
+***gen IncentiveB
+g incentiveB=.
+replace incentiveB=1 if commission=="commissionB"
+replace incentiveB=0 if commission=="commissionA"
+
+g incentiveA=.
+replace incentiveA=1 if commission=="commissionA"
+replace incentiveA=0 if commission=="commissionB"
+
+
+*GET by treatment
+g getafter=(getbefore=="GetAfter") 
+cap drop getbefore
+g getbefore=1-getafter
+
+
+
+**gen bluesignal dummy
+g signalblue=.
+replace signalblue=1 if fl_528_do=="Signal_blue2"
+replace signalblue=1 if fl_1034_do=="Signal_blue2"
+replace signalblue=1 if fl_555_do=="Signal_blue2"
+replace signalblue=1 if fl_1047_do=="Signal_blue2"
+replace signalblue=1 if fl_629_do=="Signal_blue2"
+replace signalblue=1 if fl_642_do=="Signal_blue2"
+replace signalblue=1 if fl_1060_do=="Signal_blue2"
+replace signalblue=1 if fl_1073_do=="Signal_blue2"
+
+replace signalblue=0 if fl_528_do=="Signal_red0"
+replace signalblue=0 if fl_555_do=="Signal_red0"
+replace signalblue=0 if fl_1047_do=="Signal_red0"
+replace signalblue=0 if fl_1034_do=="Signal_red0"
+replace signalblue=0 if fl_629_do=="Signal_red0"
+replace signalblue=0 if fl_642_do=="Signal_red0"
+replace signalblue=0 if fl_1060_do=="Signal_red0"
+replace signalblue=0 if fl_1073_do=="Signal_red0"
+drop if signalblue==.
+
+g conflict=.
+replace conflict=1 if signalblue==0 & commission=="commissionB"
+replace conflict=0 if signalblue==1 & commission=="commissionB"
+replace conflict=1 if signalblue==1 & commission=="commissionA"
+replace conflict=0 if signalblue==0 & commission=="commissionA"
+	
+
+tab commission 
+g recommendincentive=recommendb if commission=="commissionB"
+replace recommendincentive=recommenda if commission=="commissionA"	
+
+
+gen choicebefore=.
+replace choicebefore=1 if choicefree==1
+replace choicebefore=0 if choicefree==2
+
+
+
+**Gender
+gen female=.
+replace female=1 if gender==2
+replace female=0 if gender==1
+
+
+***Prosociality
+forval i=1(1)5{
+recode alpha`i' (1=0) (2=1)
+}	
+
+egen alphamiss=rowmiss(alpha1 alpha2 alpha3 alpha4) 
+keep if alphamiss==0
+
+g sample="MTurk"
+rename q211 explanationchoice
+gen costlydemand=0
+
+
+reshape long alpha, i(id) j(number)
+	
+sort id number		
+g previouschoice=alpha[_n-1] if number>1		
+g steptob=(alpha-previouschoice) if number>1
+bys id: egen sumsteptob=total(steptob) 
+
+*Alpha value final = number of times you go with the incentive to recommend Y
+g alphavalue=0 if sumsteptob==0 & alpha==0 & number==5 /*always choosing X, no incentive*/
+replace alphavalue=5 if sumsteptob==0 & alpha==1 & number==5 /*always choosing Y, incentive*/
+*Alpha value is the question number when the steptob is 1 for those who switch
+replace alphavalue=number-1 if sumsteptob==1 & steptob==1 
+
+g inconsistentchoice=(steptob==-1)
+bys id: egen inconsistentid=total(inconsistentchoice) 
+
+bys id: egen alphavaluefinal=total(alphavalue) 
+replace alphavaluefinal=. if inconsistentid>0
+
+tab alphavaluefinal, m
+cap drop alphavalue inconsistentchoice previouschoice steptob
+reshape wide alpha, i(id) j(number)
+
+*Average alpha
+tab alphavaluefinal, m
+
+
+gen Deterministic=(condition=="ChoiceFree_Deterministic")
+
+egen stdalpha=std(alphavaluefinal)
+
+* prepare data for regressions
+g getbefore_Deterministic=getbefore*Deterministic	
+label var getbefore_Deterministic "Get Before X Deterministic"
+
+gen Not_getyourchoice=0
+replace Not_getyourchoice=1 if choicebefore==1 & getbefore==0
+replace Not_getyourchoice=1 if choicebefore==0 & getbefore==1
+gen getyourchoice=1-Not_getyourchoice
+
+gen choicebefore_Notgetyourchoice=choicebefore*Not_getyourchoice
+gen noconflict=1-conflict
+gen noconflict_choicebefore=noconflict*choicebefore
+gen noconflict_Notgetyourchoice=noconflict*Not_getyourchoice
+
+gen choicebefore_Deterministic=choicebefore*Deterministic
+gen choicebefore_getyourchoiceDet=choicebefore*getyourchoice*Deterministic
+gen choicebefore_noconflict=choicebefore*noconflict
+gen Deterministic_noconflict=Deterministic*noconflict
+gen Deterministic_choicebeforeNocon=Deterministic*noconflict*choicebefore
+
+label var getyourchoice "Random Assignment to Preferred Order"
+label var choicebefore_getyourchoice "Prefer to See Incentive First X Random Assignment"
+
+gen getyourchoice_Det=getyourchoice*Deterministic
+
+drop responseid newid shortid dup
+drop fl_728_do fl_17_do fl_481_do fl_523_do fl_528_do fl_1034_do fl_548_do fl_555_do fl_1047_do fl_563_do fl_657_do fl_629_do fl_1060_do fl_656_do fl_642_do fl_1073_do
+save "${data}Choice_Deterministic.dta", replace
+
+/*-------------------------------*/	
+*PREDICTIONS
+/*-------------------------------*/	
+clear
+import excel "${raw}predictions_explanations_coded_deidentified.xlsx", firstrow
+save "${data}predictions_explanations_coded.dta", replace
+
+clear
+import excel "${raw}predictions_deidentified.xlsx", firstrow
+
+
+drop if _n<3
+drop if status==1
+drop if q_relevantidduplicate==1
+drop if q_relevantidfraudscore!=0
+
+destring  predictbeforered_es_1 predictafterred_es_1 predictbeforeblue_es_1 predictafterblue_es_1, force replace
+
+g predictbeforered1=predictbeforered_es_1
+g predictafterred1=predictafterred_es_1
+g predictbeforeblue1=predictbeforeblue_es_1
+g predictafterblue1=predictafterblue_es_1
+g gapred=predictbeforered1-58 if predictbeforered1!=.
+replace gapred=68-predictafterred1 if predictafterred1!=.
+g gapblue=predictbeforeblue1-75 if predictbeforeblue1!=.
+replace gapblue=86-predictafterblue1 if predictafterblue1!=.
+
+g gap=gapred if gapred!=.
+replace gap=gapblue if gapblue!=.
+
+g choice="Predictions"
+
+tab gap
+drop if gap==.
+
+merge 1:1 shortid using "${data}predictions_explanations_coded.dta" 
+
+
+g attentivenum=attentive=="YES"
+tab attentivenum
+keep if attentivenum==1
+
+tab gender 
+destring age, force replace
+tabstat age
+
+
+replace gap=gap/100	
+replace gapred=gapred/100	
+replace gapblue=gapblue/100	
+	
+egen meangap=mean(gap)
+egen sdgap=sd(gap)
+egen ngap=count(gap)
+
+g logap = meangap - sdgap/(sqrt(ngap))
+g higap = meangap + sdgap/(sqrt(ngap))
+
+
+g predicteddirection=predictafterred if predictafterred!=.
+replace predicteddirection=predictbeforered if predictbeforered!=.
+replace predicteddirection=predictafterblue if predictafterblue!=.
+replace predicteddirection=predictbeforeblue if predictbeforeblue!=.
+
+
+g before=1 if predictbeforered!=. | predictbeforeblue!=.
+replace before=0 if predictafterred!=. | predictafterblue!=.
+
+g predictcorrect=1 if (predicteddirection==1 & before==0) | (predicteddirection==3 & before==1)
+replace predictcorrect=0 if (predicteddirection==2 & before==0) | (predicteddirection==2 & before==1)
+replace predictcorrect=-1 if (predicteddirection==3 & before==0) | (predicteddirection==1 & before==1)
+
+drop _merge responseid
+save "${data}predictionsstudy.dta", replace
+
+/*-------------------------------*/	
+*CLIENTS
+/*-------------------------------*/	
+
+*** NOCHOICE, CHOICE AND STAKES EXPERIMENTS - MAIN
+clear
+import delimited using "${raw}Clients/Clients_Main_deidentified.csv", varnames(1)
+
+gen follow=.
+replace follow=1 if client_choiceb==1 & advisor_recommendb==1
+replace follow=1 if client_choiceb==0 & advisor_recommendb==0
+replace follow=0 if client_choiceb==0 & advisor_recommendb==1
+replace follow=0 if client_choiceb==1 & advisor_recommendb==0
+
+save "${data}Clients_Main.dta", replace
+
+
+*** CLIENTS ** NOCHOICE, CHOICE AND STAKES EXPERIMENTS - MPL
+
+clear
+import delimited using "${raw}Clients/Clients_MPL_deidentified.csv", varnames(1)
+
+gen follow=.
+replace follow=1 if advisor_recommends_producty==1 & client_choicey==1
+replace follow=1 if advisor_recommends_producty==0 & client_choicey==0
+replace follow=0 if advisor_recommends_producty==0 & client_choicey==1
+replace follow=0 if advisor_recommends_producty==1 & client_choicey==0
+
+save "${data}Clients_MPL.dta", replace
+
+*** CLIENTS ** NOCHOICE, CHOICE AND STAKES EXPERIMENTS - BLINDING
+
+clear
+import delimited using "${raw}Clients/Clients_Blinding_deidentified.csv", varnames(1)
+
+
+gen follow=.
+replace follow=1 if recommendation_infoavoidance==1 & choice1==1
+replace follow=1 if recommendation_infoavoidance==0 & choice1==0
+replace follow=0 if recommendation_infoavoidance==0 & choice1==1
+replace follow=0 if recommendation_infoavoidance==1 & choice1==0
+
+save "${data}Clients_Blinding.dta", replace
+
+*** CLIENTS ** INFORMATION ARCHITECTS - MAIN
+clear 
+import delimited using "${raw}Clients/Clients_InfoArchitectsMain_deidentified.csv", varnames(1)
+
+gen follow=.
+replace follow=1 if client_choiceb==1 & advisor_recommendb==1
+replace follow=1 if client_choiceb==0 & advisor_recommendb==0
+replace follow=0 if client_choiceb==0 & advisor_recommendb==1
+replace follow=0 if client_choiceb==1 & advisor_recommendb==0
+
+save "${data}Clients_InfoArchitectsMain.dta", replace
+
+*** CLIENTS ** INFORMATION ARCHITECTS - MPL ADVISORS
+
+clear 
+import delimited using "${raw}Clients/Clients_IAAdvisors_MPL_deidentified.csv", varnames(1)
+
+
+gen follow=.
+replace follow=1 if advisor_recommends_producty==1 & client_choicey==1
+replace follow=1 if advisor_recommends_producty==0 & client_choicey==0
+replace follow=0 if advisor_recommends_producty==0 & client_choicey==1
+replace follow=0 if advisor_recommends_producty==1 & client_choicey==0
+
+save "${data}Clients_IAAdvisors_MPL.dta", replace
+
+*** CLIENTS ** INFORMATION ARCHITECTS - MPL INFO ARCHITECTS
+clear
+import delimited using "${raw}Clients/Clients_IAInfoArchitects_MPL_deidentified.csv", varnames(1)
+
+
+gen follow=.
+replace follow=1 if advisor_recommends_producty==1 & client_choicey==1
+replace follow=1 if advisor_recommends_producty==0 & client_choicey==0
+replace follow=0 if advisor_recommends_producty==0 & client_choicey==1
+replace follow=0 if advisor_recommends_producty==1 & client_choicey==0
+
+save "${data}Clients_IAInfoArchitects_MPL.dta", replace
+
+
+*** CLIENTS ** NOCHOICE SIMULTANEOUS - MAIN
+
+clear 
+import delimited using "${raw}Clients/Clients_NoChoiceSimultaneousMain_deidentified.csv", varnames(1)
+
+gen follow=.
+replace follow=1 if advisor_recommendb==1 & client_choiceb==1
+replace follow=1 if advisor_recommendb==0 & client_choiceb==0
+replace follow=0 if advisor_recommendb==0 & client_choiceb==1
+replace follow=0 if advisor_recommendb==1 & client_choiceb==0
+
+save "${data}Clients_NoChoiceSimultaneousMain.dta", replace
+
+
+*** CLIENTS ** NOCHOICE SIMULTANEOUS - MPL
+
+clear
+import delimited using "${raw}Clients/Clients_NoChoiceSimultaneousMPL_deidentified.csv", varnames(1)
+
+
+gen follow=.
+replace follow=1 if advisor_recommends_producty==1 & client_choicey==1
+replace follow=1 if advisor_recommends_producty==0 & client_choicey==0
+replace follow=0 if advisor_recommends_producty==0 & client_choicey==1
+replace follow=0 if advisor_recommends_producty==1 & client_choicey==0
+
+save "${data}Clients_NoChoiceSimultaneousMPL.dta", replace
+
+*** CLIENTS ** CHOICE DETERMINISTIC - MAIN
+clear 
+import delimited using "${raw}Clients/Clients_ChoiceDeterministic_Main_deidentified.csv", varnames(1)
+gen follow=.
+replace follow=1 if advisor_recommendb==1 & client_choiceb==1
+replace follow=1 if advisor_recommendb==0 & client_choiceb==0
+replace follow=0 if advisor_recommendb==0 & client_choiceb==1
+replace follow=0 if advisor_recommendb==1 & client_choiceb==0
+
+save "${data}Clients_ChoiceDeterministic_Main.dta", replace
+
+*** CLIENTS ** CHOICE DETERMINISTIC - MPL
+
+
+clear 
+import delimited using "${raw}Clients/Clients_ChoiceDeterministic_MPL_deidentified.csv", varnames(1)
+
+
+gen follow=.
+replace follow=1 if advisor_recommends_producty==1 & client_choicey==1
+replace follow=1 if advisor_recommends_producty==0 & client_choicey==0
+replace follow=0 if advisor_recommends_producty==0 & client_choicey==1
+replace follow=0 if advisor_recommends_producty==1 & client_choicey==0
+
+save "${data}Clients_ChoiceDeterministic_MPL.dta", replace
+
+*drop unnecessary files
+rm "${data}choice1.dta"
+rm "${data}choice2.dta"
+rm "${data}choice3.dta"
+rm "${data}professionals_prolific.dta"
+rm "${data}coding_explanations.dta"

24/replication_package/Code/main.do

@@ -0,0 +1,15 @@
+
+clear 
+*GLOBALS
+*set the path to "YOUR PATH"
+local path=" "
+		
+		global raw  "`path'/Data/Raw Data/"
+		global data "`path'/Data/Clean Data/"
+		global main "`path'/Results/Main Text/"
+		global appendix "`path'/Results/Appendix/" 
+		global code "`path'/Code/" 
+
+do "${code}config.do"
+do "${code}datacleaning.do"
+do "${code}analysis.do"

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