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*** ESLR: EHPM Outcomes - RD Analysis - HH Survey ***
*****************************************************
capture log close
clear
set matsize 3000
set more off
** Set Workspace **
cd /Users/`c(username)'/Dropbox/Research_ElSalvador_LandReform/Replication/
*********************
*** Load the Data ***
*********************
use "./Data/ehpm_incomemodule_wreform.dta", clear
capture drop ln_hh_inc_pc hh_inc_pc_real ln_hh_inc_pc_real
gen ln_hh_inc_pc = log(hh_income_pc)
gen hh_inc_pc_real = (year==2000)*hh_income_pc*71.57/100 + ///
(year==2001)*hh_income_pc*74.25/100 + (year==2004)*hh_income_pc*80.68/100 + ///
(year==2005)*hh_income_pc*84.47/100 + (year==2006)*hh_income_pc*87.88/100 + ///
(year==2007)*hh_income_pc*91.90/100 + (year==2008)*hh_income_pc*98.06/100 + ///
(year==2009)*hh_income_pc*99.10/100 + (year==2011)*hh_income_pc*105.13/100 + ///
(year==2012)*hh_income_pc*106.95/100 + (year==2013)*hh_income_pc*107.79/100
gen ln_hh_inc_pc_real = log(hh_inc_pc_real )
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*** Set RD Params ***
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** Baseline: Will use local linear rd with manual bandwidth (due to sample size)
** with ses clustered at propietor level.
** Will use rdrobust package
local polynomial_level 1
local cluster_level "Expropretario_ISTA"
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*** OUTCOME 1a - HH INCOME PC LEVELS ***
****************************************
** Avg HH per capita income:
local bwidth = 300
local bwidth = 300
reg hh_inc_pc_real Above500 norm_dist c.norm_dist#Above500 i_year* sex age age2 if abs(norm_dist) < `bwidth' , cluster(`cluster_level')
sum hh_income_pc if abs(norm_dist)<`bwidth'
outreg2 using "./Output/Table_Earnings.tex", replace se tex noobs nocons nor2 keep(Above500) addstat(Observations, `e(N)', Clusters, `e(N_clust)', Mean Dep. Var., `r(mean)', Bandwidth, `bwidth')
local bwidth = 150
reg hh_inc_pc_real Above500 norm_dist c.norm_dist#Above500 i_year* sex age age2 if abs(norm_dist) < `bwidth' , cluster(`cluster_level')
sum hh_income_pc if abs(norm_dist)<`bwidth'
outreg2 using "./Output/Table_Earnings.tex", append se tex noobs nocons nor2 keep(Above500) addstat(Observations, `e(N)', Clusters, `e(N_clust)', Mean Dep. Var., `r(mean)', Bandwidth, `bwidth')
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*** OUTCOME 1b - WAGE INCOME COMPRESSION ***
*******************************************
** IQR:
** Reg:
preserve
collapse (iqr) hh_income_pc hh_inc_pc_real (mean) norm_dist Above500, by(match_id Expropretario_ISTA i_year*) cw
local bwidth =300
reg hh_inc_pc_real Above500 norm_dist c.norm_dist#Above500 i_year* if abs(norm_dist) < `bwidth' , cluster(`cluster_level')
sum hh_income_pc if abs(norm_dist)<`bwidth'
outreg2 using "./Output/Table_Earnings.tex", append se tex noobs nocons nor2 keep(Above500) addstat(Observations, `e(N)', Clusters, `e(N_clust)', Mean Dep. Var., `r(mean)', Bandwidth, `bwidth')
local bwidth = 150
reg hh_inc_pc_real Above500 norm_dist c.norm_dist#Above500 i_year* if abs(norm_dist) < `bwidth' , cluster(`cluster_level')
sum hh_income_pc if abs(norm_dist)<`bwidth'
outreg2 using "./Output/Table_Earnings.tex", append se tex noobs nocons nor2 keep(Above500) addstat(Observations, `e(N)', Clusters, `e(N_clust)', Mean Dep. Var., `r(mean)', Bandwidth, `bwidth')
restore
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*** QUANTILE REGRESSION COEFFICIENT PLOT
****************************************
gen Above500_QPlot = Above500
label var Above500_QPlot "Quantile Estimates for: Above 500 (ha)"
drop if num_members < 5
local bwidth =150
bsqreg ln_hh_inc_pc_real Above500_QPlot norm_dist norm_dist_Above i_year1-i_year8 i_year10-i_year11 if abs(norm_dist) < `bwidth' & hh_inc_pc >0, q(.50)
set scheme lean1
grqreg Above500_QPlot, ci reps(40) qstep(.2) seed(821)
graph export "./Output/EHPM_QuantilePlot_ln_hh_inc_pc_real.pdf", replace
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