| | clear |
| | set mem 500m |
| | set more off |
| | set logtype text |
| | set matsize 3000 |
| |
|
| | cap log close |
| | log using "$Log/Table7.log", replace |
| |
|
| |
|
| | use "$AnalysisData/bills_analysis_101-111_replication.dta" |
| | keep if private==0 |
| |
|
| | bysort v2 sponsor_state_abbrev sponsor_district sponsor_term_served: egen tot_bills=count(v2) |
| |
|
| | gen byte sponsor_democrat = sponsor_party==100 if sponsor_party~=. |
| |
|
| | gen byte NE = sponsor_state_icpsr>=1 & sponsor_state_icpsr<=14 if sponsor_state_icpsr~=. |
| | gen byte MW = sponsor_state_icpsr>=21 & sponsor_state_icpsr<=37 if sponsor_state_icpsr~=. |
| | gen byte SO = sponsor_state_icpsr>=40 & sponsor_state_icpsr<=56 if sponsor_state_icpsr~=. |
| | gen byte WE = sponsor_state_icpsr>=61 & sponsor_state_icpsr<=82 if sponsor_state_icpsr~=. |
| |
|
| | replace sponsor_age=. if sponsor_age>100 |
| | gen sponsor_rookie=(sponsor_tenure_run==1) if sponsor_tenure_run!=. |
| | gen byte leader = (comc==1) | (comr==1) if comc~=. & comr~=. |
| |
|
| | gen lnpden=lnpop-lnarea |
| | gen absMV=abs(MV1_democrat) |
| |
|
| | egen tag_congressmen=tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) |
| | egen group_congressmen = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) |
| | egen tag_sponsor = tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) |
| | egen group_sponsor = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served) |
| |
|
| | cap drop pct_cosponsors_opposite |
| | gen pct_cosponsors_opposite=100*numb_cosponsors_opposite/(numb_cosponsors+1) |
| | replace pct_cosponsors_opposite=. if pct_cosponsors_opposite>100 |
| |
|
| | compress |
| |
|
| | egen tag_bill = tag(v2 HRnumber) |
| |
|
| | gen int decade = 1980 if v2<=102 |
| | replace decade=1990 if v2>=103 & v2<=107 |
| | replace decade=2000 if v2>=108 |
| |
|
| | egen district_id = group(decade sponsor_state_abbrev sponsor_district) |
| | |
| | local controls1 = "i.v2 " |
| | local controls2 = "i.v2 MV1_female femaleXMV1_female " |
| | local controls3 = "i.v2 MV1_female femaleXMV1_female " |
| | local controls4 = "i.v2 " |
| | local controls5 = "i.v2 " |
| |
|
| | local other_controls = "i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden" |
| | local billchars = "i.minor house_*" |
| | local indivchars = "sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate tot_bills" |
| | local districtchars = "NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden" |
| |
|
| | local if1 = "if tag_bill==1" |
| | local if2 = "if sponsor_party==100 & tag_bill==1" |
| | local if3 = "if sponsor_party==200 & tag_bill==1" |
| |
|
| | gen tenured=sponsor_tenure>=5 if sponsor_tenure!=. |
| |
|
| | foreach depvar of varlist numb_cosponsors { |
| | forvalues l = 0/1 { |
| | forvalues j = 1/5 { |
| | forvalues k = 1/3 { |
| | qui reg `depvar' sponsor_female `controls3' `other_controls' `if`k'' & mixed_gender_election==1 & tenured==`l', robust cluster(group_sponsor) |
| | qui gen sample=e(sample) |
| | |
| | di "" |
| | di "" |
| | di "j = ", `j', "k = ", `k' |
| | di "" |
| | di "" |
| | |
| | di "rdbwselect_2014 `depvar' MV1_female `if`k'', c(0) kernel(uniform)" |
| | rdbwselect_2014 `depvar' MV1_female `if`k'', c(0) kernel(uniform) |
| | local band = e(h_CCT) |
| |
|
| | if `j'==1 { |
| | di "reg `depvar' sponsor_female `controls`j'' `other_controls' `if`k'' & tenured==`l', robust cluster(group_sponsor)" |
| | reg `depvar' sponsor_female `controls`j'' `other_controls' `if`k'' & tenured==`l', robust cluster(group_sponsor) |
| | } |
| | else if `j'==2 { |
| | di "reg `depvar' sponsor_female `controls`j'' `if`k'' & sample==1 & abs(MV1_female)<=`band' & tenured==`l', robust cluster(group_sponsor)" |
| | reg `depvar' sponsor_female `controls`j'' `if`k'' & sample==1 & abs(MV1_female)<=`band' & tenured==`l', robust cluster(group_sponsor) |
| | } |
| | else if `j'==3 { |
| | qui probit sponsor_female i.v2 `districtchars' `if`k'' & tag_sponsor==1 & abs(MV1_female)<=`band' |
| | predict pscore if sample==1 |
| | gen wt = 1/pscore if sponsor_female==1 |
| | replace wt =1/(1-pscore) if sponsor_female==0 |
| | di "reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & sample==1 & tenured==`l' & abs(MV1_female)<=`band', robust cluster(group_sponsor)" |
| | reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & sample==1 & tenured==`l' & abs(MV1_female)<=`band', robust cluster(group_sponsor) |
| | drop pscore wt |
| | } |
| | else if `j'==4 { |
| | qui probit sponsor_female i.v2 `districtchars' absMV `if`k'' & tag_sponsor==1 |
| | predict pscore |
| | gen wt = 1/pscore if sponsor_female==1 |
| | replace wt =1/(1-pscore) if sponsor_female==0 |
| | di "reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & tenured==`l', robust cluster(group_sponsor)" |
| | reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & tenured==`l', robust cluster(group_sponsor) |
| | drop pscore wt |
| | } |
| | else if `j'==5 { |
| | qui probit sponsor_female i.v2 `districtchars' `indivchars' absMV `if`k'' & tag_sponsor==1 |
| | predict pscore |
| | gen wt = 1/pscore if sponsor_female==1 |
| | replace wt =1/(1-pscore) if sponsor_female==0 |
| | di "reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & tenured==`l', robust cluster(group_sponsor)" |
| | reg `depvar' sponsor_female `controls`j'' `billchars' [aw=wt] `if`k'' & tenured==`l', robust cluster(group_sponsor) |
| | drop pscore wt |
| | } |
| |
|
| | if `j'~=2 & `j'~=3 { |
| | scalar b_col`j'_row`k' = _b[sponsor_female] |
| | scalar se_col`j'_row`k' = _se[sponsor_female] |
| | scalar n_col`j'_row`k' = e(N) |
| | sum tag_congressmen if tag_congressmen==1 & e(sample) |
| | scalar ni_col`j'_row`k' = e(N_clust) |
| | scalar ob_col`j'_row`k' = . |
| | } |
| | else if `j'==2 | `j'==3 { |
| | scalar b_col`j'_row`k' = _b[sponsor_female] |
| | scalar se_col`j'_row`k' = _se[sponsor_female] |
| | scalar n_col`j'_row`k' = e(N) |
| | sum tag_congressmen if tag_congressmen==1 & e(sample) |
| | scalar ni_col`j'_row`k' = e(N_clust) |
| | scalar ob_col`j'_row`k' = round(`band') |
| | } |
| |
|
| | drop sample |
| | } |
| | } |
| |
|
| | preserve |
| |
|
| | |
| |
|
| | forvalues i = 1/5 { |
| | gen var`i' =. |
| | } |
| | gen str20 var6 = "" |
| | |
| | forvalues j=1/5 { |
| | forvalues k = 1/3 { |
| | replace var`j' = b_col`j'_row`k' if _n==6*(`k'-1)+1 |
| | replace var`j' = se_col`j'_row`k' if _n==6*(`k'-1)+2 |
| | replace var`j' = n_col`j'_row`k' if _n==6*(`k'-1)+3 |
| | replace var`j' = ni_col`j'_row`k' if _n==6*(`k'-1)+4 |
| | replace var`j' = ob_col`j'_row`k' if _n==6*(`k'-1)+5 |
| | } |
| | } |
| |
|
| | keep var1-var6 |
| | keep if _n<=18 |
| |
|
| | order var6 var1-var5 |
| |
|
| | ren var6 sampletype |
| | ren var1 OLS_all |
| | ren var2 RD_bwidth |
| | ren var3 RD_match_bw |
| | ren var4 PS_match |
| | ren var5 PS_match_indiv |
| |
|
| | foreach var of varlist OLS_all RD_bwidth RD_match_bw PS_match PS_match_indiv { |
| | gen str3 `var'_stars ="*" if abs(`var'/`var'[_n+1])>=1.645 & mod(_n,6)==1 |
| | replace `var'_stars ="**" if abs(`var'/`var'[_n+1])>=1.96 & mod(_n,6)==1 |
| | replace `var'_stars="***" if abs(`var'/`var'[_n+1])>=2.58 & mod(_n,6)==1 |
| | } |
| |
|
| | replace sampletype = "All" if _n>=1 & _n<=5 |
| | replace sampletype = "Democrats" if _n>=7 & _n<=11 |
| | replace sampletype = "Republicans" if _n>=13 & _n<=17 |
| |
|
| | order sampletype OLS_all OLS_all_stars RD_bwidth RD_bwidth_stars RD_match_bw RD_match_bw_stars PS_match PS_match_stars PS_match_indiv PS_match_indiv_stars |
| | export excel using "$Output/Table7_`depvar'_T`l'", firstrow(var) replace |
| | restore |
| | } |
| | } |
| |
|
| | log close |
| |
|
