******************************************************************************** ******************************** HETEROGENEITY ********************************* ******************************************************************************** use "/Users/eduardomontero/Dropbox/Research_ElSalvador_LandReform/R/Output/ag_census_wSegmCens_all.dta", clear destring Expropretario_ISTA, replace replace Expropretario_ISTA = agg_id if Expropretario_ISTA==. gen mean_med = age_mean- age_median keep age_iqr mean_med Above500 ln_agprod ln_agprod_pricew_crops CashCrop_Share StapleCrop_Share norm_dist own_amt Expropretario_ISTA reform ********************** *** Label the Data *** ********************** ** Label Variables for the output: label variable ln_agprod_pricew_crops "Agricultural Revenues (ln($/ha))" label variable ln_agprod "Agriculural Profits (ln($/ha))" label variable CashCrop_Share "Share of Property for Cash Crops" label variable StapleCrop_Share "Share of Property for Staple Crops" label variable norm_dist "Distance to Reform Threshold (ha)" label variable own_amt "Former Owner's Cumulative Landholdings (ha)" ********************* *** Set RD Params *** ********************* ** Baseline: Will use local linear rd with MSE optimal bandwidth ** with ses clustered at propietor level. ** Will also use two-sided MSE optimal bandwidth since big diff in density on ** both sides. ** Will use rdrobust package local polynomial_level 1 local bandwidth_choice "mserd" // "mserd", "msecomb2" "msetwo" local kernel_choice "tri" // "tri" local cluster_level "Expropretario_ISTA" local bw 100 ********************************************* *** OUTCOME - SEGM CENSALES HETEROGENEITY *** ********************************************* ** AGE Heterogeneity: local het_var age_iqr sum `het_var', d local mean_agesd = `r(p50)' dis "`mean_agesd'" replace mean_med =`het_var' count if mean_med <`mean_agesd' | reform==0 count if mean_med >=`mean_agesd' | reform==0 gen abovemed_het = 0 replace abovemed_het=1 if (mean_med >=`mean_agesd' & mean_med!= .) local bw 150 gen dis_meas = age_iqr //age_sd age_iqr replace dis_meas=0 if dis_meas==. reg ln_agprod Above500 c.Above500#c.dis_meas norm_dist c.Above500#c.norm_dist if abs(norm_dist) < 150, cluster(Expropretario_ISTA) rdrobust ln_agprod_pricew_crops norm_dist if (mean_med >=`mean_agesd' & mean_med!= .) | reform==0, c(0) p(`polynomial_level') h(`bw' `bw') kernel(`kernel_choice') vce(cluster `cluster_level') * outreg results distinct `cluster_level' if norm_dist < `e(h_l)' & norm_dist > -1*`e(h_r)' & `e(outcomevar)'!=. & `e(runningvar)'!=. local n_clust = `r(ndistinct)' su `e(outcomevar)' if norm_dist < `e(h_l)' & norm_dist > -1*`e(h_r)' outreg2 using "Output/Table_SegmCens_AgeHet.tex", replace se tex noobs addstat(Observations, `e(N_h_l)' + `e(N_h_r)', Clusters, `n_clust', Mean Dep. Var., `r(mean)', Bandwidth, `e(h_l)') rdrobust ln_agprod_pricew_crops norm_dist if mean_med <`mean_agesd' | reform==0, c(0) p(`polynomial_level') h(`bw' `bw') kernel(`kernel_choice') vce(cluster `cluster_level') * outreg results distinct `cluster_level' if norm_dist < `e(h_l)' & norm_dist > -1*`e(h_r)' & `e(outcomevar)'!=. & `e(runningvar)'!=. local n_clust = `r(ndistinct)' su `e(outcomevar)' if norm_dist < `e(h_l)' & norm_dist > -1*`e(h_r)' outreg2 using "Output/Table_SegmCens_AgeHet.tex", append se tex noobs addstat(Observations, `e(N_h_l)' + `e(N_h_r)', Clusters, `n_clust', Mean Dep. Var., `r(mean)', Bandwidth, `e(h_l)') */ rdrobust ln_agprod norm_dist if (mean_med >=`mean_agesd' & mean_med!= .) | reform==0, c(0) p(`polynomial_level') h(`bw' `bw') kernel(`kernel_choice') vce(cluster `cluster_level') * outreg results distinct `cluster_level' if norm_dist < `e(h_l)' & norm_dist > -1*`e(h_r)' & `e(outcomevar)'!=. & `e(runningvar)'!=. local n_clust = `r(ndistinct)' su `e(outcomevar)' if norm_dist < `e(h_l)' & norm_dist > -1*`e(h_r)' outreg2 using "Output/Table_SegmCens_AgeHet.tex", append se tex noobs addstat(Observations, `e(N_h_l)' + `e(N_h_r)', Clusters, `n_clust', Mean Dep. Var., `r(mean)', Bandwidth, `e(h_l)') rdrobust ln_agprod norm_dist if mean_med <`mean_agesd' | reform==0 , c(0) p(`polynomial_level') h(`bw' `bw') kernel(`kernel_choice') vce(cluster `cluster_level') * outreg results distinct `cluster_level' if norm_dist < `e(h_l)' & norm_dist > -1*`e(h_r)' & `e(outcomevar)'!=. & `e(runningvar)'!=. local n_clust = `r(ndistinct)' su `e(outcomevar)' if norm_dist < `e(h_l)' & norm_dist > -1*`e(h_r)' outreg2 using "Output/Table_SegmCens_AgeHet.tex", append se tex noobs addstat(Observations, `e(N_h_l)' + `e(N_h_r)', Clusters, `n_clust', Mean Dep. Var., `r(mean)', Bandwidth, `e(h_l)') *** TESTING COEFFICIENTS: * 1 vs. 2: local z = (-.430 - (-0.192))/sqrt(0.326^2 + 0.376^2) dis 2*(1-normal(abs(`z'))) local z = (-.696 - (-0.255))/sqrt(0.411^2 + 0.504^2) dis 2*(1-normal(abs(`z'))) /*gen group1 = abovemed_het ==1 // | reform==0 gen group1_Above500 = group1*Above50 reg ln_agprod_pricew_crops Above500 group1_Above500 norm_dist c.norm_dist#Above500 i.group1#c.norm_dist i.group1#c.norm_dist#Above500 if abs(norm_dist) < 150, vce(cluster Expropretario_ISTA) lincom _b[Above500] - _b[group1_Above500] reg ln_agprod Above500 group1_Above500 norm_dist c.norm_dist#Above500 if abs(norm_dist) < 150 , vce(cluster Expropretario_ISTA) lincom _b[Above500] - _b[group1_Above500]*/ local bw 300 rdrobust CashCrop_Share norm_dist if mean_med >=`mean_agesd' | reform==0, c(0) p(`polynomial_level') h(`bw' `bw') kernel(`kernel_choice') vce(cluster `cluster_level') * outreg results distinct `cluster_level' if norm_dist < `e(h_l)' & norm_dist > -1*`e(h_r)' & `e(outcomevar)'!=. & `e(runningvar)'!=. local n_clust = `r(ndistinct)' su `e(outcomevar)' if norm_dist < `e(h_l)' & norm_dist > -1*`e(h_r)' outreg2 using "Output/Table_SegmCens_AgeHet2.tex", replace se tex noobs addstat(Observations, `e(N_h_l)' + `e(N_h_r)', Clusters, `n_clust', Mean Dep. Var., `r(mean)', Bandwidth, `e(h_l)') rdrobust CashCrop_Share norm_dist if mean_med <`mean_agesd' | reform==0 , c(0) p(`polynomial_level') h(`bw' `bw') kernel(`kernel_choice') vce(cluster `cluster_level') * outreg results distinct `cluster_level' if norm_dist < `e(h_l)' & norm_dist > -1*`e(h_r)' & `e(outcomevar)'!=. & `e(runningvar)'!=. local n_clust = `r(ndistinct)' su `e(outcomevar)' if norm_dist < `e(h_l)' & norm_dist > -1*`e(h_r)' outreg2 using "Output/Table_SegmCens_AgeHet2.tex", append se tex noobs addstat(Observations, `e(N_h_l)' + `e(N_h_r)', Clusters, `n_clust', Mean Dep. Var., `r(mean)', Bandwidth, `e(h_l)') rdrobust StapleCrop_Share norm_dist if mean_med >=`mean_agesd' | reform==0, c(0) p(`polynomial_level') h(`bw' `bw') kernel(`kernel_choice') vce(cluster `cluster_level') * outreg results distinct `cluster_level' if norm_dist < `e(h_l)' & norm_dist > -1*`e(h_r)' & `e(outcomevar)'!=. & `e(runningvar)'!=. local n_clust = `r(ndistinct)' su `e(outcomevar)' if norm_dist < `e(h_l)' & norm_dist > -1*`e(h_r)' outreg2 using "Output/Table_SegmCens_AgeHet2.tex", append se tex noobs addstat(Observations, `e(N_h_l)' + `e(N_h_r)', Clusters, `n_clust', Mean Dep. Var., `r(mean)', Bandwidth, `e(h_l)') rdrobust StapleCrop_Share norm_dist if mean_med <`mean_agesd' | reform==0 , c(0) p(`polynomial_level') h(`bw' `bw') kernel(`kernel_choice') vce(cluster `cluster_level') * outreg results distinct `cluster_level' if norm_dist < `e(h_l)' & norm_dist > -1*`e(h_r)' & `e(outcomevar)'!=. & `e(runningvar)'!=. local n_clust = `r(ndistinct)' su `e(outcomevar)' if norm_dist < `e(h_l)' & norm_dist > -1*`e(h_r)' outreg2 using "Output/Table_SegmCens_AgeHet2.tex", append se tex noobs addstat(Observations, `e(N_h_l)' + `e(N_h_r)', Clusters, `n_clust', Mean Dep. Var., `r(mean)', Bandwidth, `e(h_l)') */ ** Crop ones * 1 vs. 2: local z = (-0.493 - (-0.571))/sqrt(0.139^2 + 0.132^2) dis 2*(1-normal(abs(`z'))) local z = (0.150 - (0.344))/sqrt(0.168^2 + 0.190^2) dis 2*(1-normal(abs(`z')))