30/replication_package/Log/003_prepare_data_replication.log

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      name:  <unnamed>
       log:  /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Log/003_prepare_data_replication.log
  log type:  text
 opened on:  29 Mar 2021, 22:08:36

. 
. 
. ********************************************************************************
. 
. * From the Bills analysis data, make a cleaner data set with only the variables that will be used in the analysis
. use "$IntermediateData/bills_analysis_101-111_clean.dta"

. 
. ren sponsor sponsor_name

. 
. * keep only relevant variables
. keep private v2 HRnumber sponsor_state_abbrev sponsor_district sponsor_term_served /*
> */   sponsor_name sponsor_female sponsor_party sponsor_age sponsor_tenure_run sponsor_state_icpsr  /*
> */   agestart comc comr anycoll ivycoll black occ0 occ1 occ2 occ3 occ4 occ5 occ6 borninstate dwnom1 DSpndPct /*
> */   mixed_gender_election MV1_democrat MV1_female femaleXMV1_female lag_demshare1 lnpop lnarea lninc pct_black pct_urban pct_for_born pct_age_over65 /*
> */   numb_cosponsors numb_cosponsors_opposite pct_cosponsors_opposite plaw_cbp passh women_friend1 women_friend3 minor house_* /*
> */   numb_cosponsors_tenure_59 numb_cosponsors_tenure_10plus numb_cosponsors_fem numb_cosponsors_leader var_cosp_dwnom1_spons m_betweenness_w_spons

. 
. * Order the variables
. order private v2 HRnumber sponsor_state_abbrev sponsor_district sponsor_term_served /*
> */   sponsor_name sponsor_female sponsor_party sponsor_age sponsor_tenure_run sponsor_state_icpsr  /*
> */   agestart comc comr anycoll ivycoll black occ0 occ1 occ2 occ3 occ4 occ5 occ6 borninstate dwnom1 DSpndPct /*
> */   mixed_gender_election MV1_democrat MV1_female femaleXMV1_female lag_demshare1 lnpop lnarea lninc pct_black pct_urban pct_for_born pct_age_over65 /*
> */   numb_cosponsors numb_cosponsors_opposite pct_cosponsors_opposite plaw_cbp passh women_friend1 women_friend3 minor house_* /*
> */   numb_cosponsors_tenure_59 numb_cosponsors_tenure_10plus numb_cosponsors_fem numb_cosponsors_leader var_cosp_dwnom1_spons m_betweenness_w_spons

. 
. 
. *label commands
. label data "Bill-level data set. Each observation is an individual bill."

. 
. label var  HRnumber "Bill H.R. number (B)"

. label var sponsor_state_abbrev "Sponsor state - postal code (I)"

. label var sponsor_district "Sponsor district (I)"

. label var sponsor_term_served "Sponsor order seated (I)"

. label var sponsor_name "Sponsor name (Congress.gov) (B)"

. label var sponsor_female "1 if sponsor is female (I)"

. label var sponsor_party "Sponsor party (I)"

. label var sponsor_age "Sponsor age (I)"

. label var sponsor_tenure_run "Sponsor tenure in Congress (I)"

. label var sponsor_state_icpsr "Sponsor state (ICPSR code) (I)"

. label var agestart "Age at start of term (I)"

. label var comc "Chair of any committee? (CBP) (I)"

. label var comr "Ranking member of any committee (CBP) (I)"

. label var anycoll "Any college degree? (ICPSR + congress.gov) (I)"

. label var ivycoll "Attended an Ivy League college (ICPSR + congress.gov) (I)"

. label var black "1 if black (ICPSR + congress.gov) (I)"

. label var occ0 "Last occupation unknown (ICPSR + congress.gov) (I)"

. label var occ1 "Last occupation: Education (ICPSR + congress.gov) (I)"

. label var occ2 "Last occupation: Lawyer(ICPSR + congress.gov) (I)"

. label var occ3 "Last occupation: Professional (ICPSR + congress.gov) (I)"

. label var occ4 "Last occupation: Business(ICPSR + congress.gov) (I)"

. label var occ5 "Last occupation: Agriculture (ICPSR + congress.gov) (I)"

. label var occ6 "Last occupation: Miscellaneous (ICPSR + congress.gov) (I)"

. label var borninstate "1 if born in state (ICPSR + congress.gov) (I)"

. label var dwnom1 "DW-Nominate, 1st dimension (Poole-Rosenthal) (I)"

. label var mixed_gender_election "1 if mixed gender election (D)"

. label var MV1_democrat "Margin of victory of the Democratic candidate (D)"

. label var MV1_female "Margin of victory of the female candidate in mixed-gender elections (D)"

. label var femaleXMV1_female "Sponsor female * MV1_female (D)"

. label var lag_demshare1 "Lagged Democratic share (D)"

. label var lnpop "ln(population) in cong. district (Scott Adler + Census Summary Files) (D)"

. label var lnarea "Ln(area in sq. miles) of cong. district (Scott Adler + Census Summary Files) (D)"

. label var lninc "Ln(median family income) of cong. district (Scott Adler + Census Summary Files) (D)"
note: label truncated to 80 characters

. label var pct_black "% black in cong. district (Scott Adler + Census Summary Files) (D)"

. label var pct_urban "% urban in cong. district (Scott Adler + Census Summary Files) (D)"

. label var pct_for_born "% foreign born in cong. district (Scott Adler + Census Summary Files) (D)"

. label var pct_age_over65 "% age over 65 in cong. district (Scott Adler + Census Summary Files) (D)"

. label var numb_cosponsors "Number of cosponsors (B)"

. label var numb_cosponsors_opposite "Number of cosponsors of the opposite party(B)"

. label var pct_cosponsors_opposite "Percent cosponsors of the opposite party(B)"

. label var plaw_cbp "Bill became public law (CBP) (B)"

. label var passh "Bill passed the House (CBP) (B)"

. label var women_friend1 "1 if CR, HE, LA, ED, LAW, SW (CBP) (B)"

. label var women_friend3 "1 if topic where fraction of F *sponsors* > 75th pctile (B)"

. label var minor "Minor topic code (CBP) (B)"

. 
. foreach housecomm in "administration" /*
> */  "agriculture"  /*
> */  "appropriations" /*
> */  "armedservices" /*
> */  "budget" /*
> */  "dc"     /*
> */  "educlabor" /*
> */  "energycommerce" /* 
> */  "foreignaffairs" /*
> */  "governmentop" /*
> */  "intelligence" /*
> */  "interior" /*
> */  "judiciary" /* 
> */  "mmf"   /*
> */  "pocs"   /*
> */  "pwt"   /*
> */  "rules"  /*  
> */  "sst"   /* 
> */  "smallbusi"   /*
> */  "soc"    /*
> */  "veterans"   /*
> */  "waysandmeans" /*
> */  "naturalresources" /*
> */  "bfs"  /*
> */  "eeo"  /* 
> */  "govreform"  /* 
> */  "ir" /* 
> */  "natsecur" /* 
> */  "oversight" /*
> */  "resources" /*
> */  "science" /* 
> */  "transp" /*
> */  "homeland"  {
  2.         label var house_`housecomm' "House Committee: `housecomm'  (congress.gov) (B)"
  3. }

. 
. label var numb_cosponsors_tenure_59 "Number of cosponsors with tenure 5-9 (number of Congresses) (B)"

. label var numb_cosponsors_tenure_10plus "Number of cosponsors with tenure 10+ (number of Congresses) (B)"

. label var numb_cosponsors_fem "Number of female cosponsors (B)"

. label var numb_cosponsors_leader "Number of cosponsors who are either Committe chairs or ranking members (B)"

. label var var_cosp_dwnom1_spons "Variance of DW-Nominate1 among all cosponsors (including sponsor) (B)"

. label var m_betweenness_w_spons "Mean weighted betweenness centrality of all cosponsors (including sponsor) (B)"

. 
. compress
  variable v2 was long now int
  variable women_friend1 was float now byte
  variable numb_cosponsors_tenure_59 was float now int
  variable numb_cosponsors_tenure_10plus was float now byte
  variable numb_cosponsors_fem was float now byte
  variable numb_cosponsors_leader was float now byte
  (1,022,320 bytes saved)

. save "$AnalysisData/bills_analysis_101-111_replication.dta", replace
file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Data/AnalysisData/bills_analysis_101-111_replication.dta saved

. 
. ********************************************************************************
. ********************************************************************************
. ********************************************************************************
. ********************************************************************************
. 
. * From the cosponsors_analysis data, make a cleaner data set with only the variables that will be used in the analysis
. use "$IntermediateData/cosponsors_analysis_101-111_clean.dta", clear

. 
. *drop if v2==103 & cosponsor_state_abbrev=="FL" & cosponsor_district==41   /* This Congressional District does not exist */
. 
. gen cosponsor_name = cosponsor      /* Cosponsor name as in congress.gov */
(18 missing values generated)

. replace cosponsor_name = cosp_name_clean if cosponsor_name==""   /* If congress.gov name is missing, replace with name from other source */
(17 real changes made)

. 
. * keep only relevant variables
. keep v2 cosponsor_state_abbrev cosponsor_district cosponsor_term_served cosponsor_name cosponsor_v1_fix /*
> */   pctbills_cosponsored_opp nbills_cosponsored_opp nbills_cosponsored /*
> */   cosponsor_female cosponsor_party cosponsor_age cosponsor_tenure_run cosponsor_state_icpsr  /*
> */   cosp_comc cosp_comr cosp_ivycoll cosp_black cosp_occ0 cosp_occ1 cosp_occ2 cosp_occ3 cosp_occ4 cosp_occ5 cosp_occ6 /*
> */   cosp_borninstate cosp_dwnom1 cosp_DSpndPct /*
> */   cosp_mixed_gender_election cosp_MV1_democrat cosp_MV1_female femaleXcosp_MV1_female /*
> */   cosp_lnpop cosp_lnarea cosp_lninc cosp_pct_b cosp_pct_u cosp_pct_f cosp_pct_a house_*_m

. 
. * Order the variables
. order v2 cosponsor_state_abbrev cosponsor_district cosponsor_term_served cosponsor_name cosponsor_v1_fix/*
> */   pctbills_cosponsored_opp nbills_cosponsored_opp nbills_cosponsored /*
> */   cosponsor_female cosponsor_party cosponsor_age cosponsor_tenure_run cosponsor_state_icpsr  /*
> */   cosp_comc cosp_comr cosp_ivycoll cosp_black cosp_occ0 cosp_occ1 cosp_occ2 cosp_occ3 cosp_occ4 cosp_occ5 cosp_occ6 /*
> */   cosp_borninstate cosp_dwnom1 cosp_DSpndPct /*
> */   cosp_mixed_gender_election cosp_MV1_democrat cosp_MV1_female femaleXcosp_MV1_female /*
> */   cosp_lnpop cosp_lnarea cosp_lninc cosp_pct_b cosp_pct_u cosp_pct_f cosp_pct_a house_*_m

. 
. 
. *label commands
. label data "Individual-level data set. Each observation is an individual congress member."

. 
. label var cosponsor_state_abbrev "State - postal code (I)"

. label var cosponsor_district "District (I)"

. label var cosponsor_term_served "Order seated (I)"

. label var cosponsor_name "Name (congress.gov) (I)"

. label var cosponsor_v1_fix "Congress member ICPSR code (v1), fixed and updated (I)"

. label var pctbills_cosponsored_opposite "Pct. bills cosponsored that were sponsored by a member of the opposite party (I)"

. label var nbills_cosponsored_opposite "Number of bills cosponsored that were sponsored by a member of the opposite party (I)"
note: label truncated to 80 characters

. label var nbills_cosponsored "Number of bills cosponsored (I)"

. label var cosponsor_female "1 if female (I)"

. label var cosponsor_party "Party (I)"

. label var cosponsor_age "Age (I)"

. label var cosponsor_tenure_run "Tenure in Congress (I)"

. label var cosponsor_state_icpsr "State (ICPSR code) (I)"

. label var cosp_comc "Chair of any committee? (CBP) (I)"

. label var cosp_comr "Ranking member of any committee (CBP) (I)"

. label var cosp_ivycoll "Attended an Ivy League college (ICPSR + congress.gov) (I)"

. label var cosp_black "1 if black (ICPSR + congress.gov) (I)"

. label var cosp_occ0 "Last occupation unknown (ICPSR + congress.gov) (I)"

. label var cosp_occ1 "Last occupation: Education (ICPSR + congress.gov) (I)"

. label var cosp_occ2 "Last occupation: Lawyer(ICPSR + congress.gov) (I)"

. label var cosp_occ3 "Last occupation: Professional (ICPSR + congress.gov) (I)"

. label var cosp_occ4 "Last occupation: Business(ICPSR + congress.gov) (I)"

. label var cosp_occ5 "Last occupation: Agriculture (ICPSR + congress.gov) (I)"

. label var cosp_occ6 "Last occupation: Miscellaneous (ICPSR + congress.gov) (I)"

. label var cosp_borninstate "1 if born in state (ICPSR + congress.gov) (I)"

. label var cosp_dwnom1 "DW-Nominate, 1st dimension (Poole-Rosenthal) (I)"

. label var cosp_mixed_gender_election "1 if mixed-gender election (D)"

. label var cosp_MV1_democrat "Margin of victory of the Democratic candidate (D)"

. label var cosp_MV1_female "Margin of victory of the female candidate in mixed-gender elections (D)"

. label var femaleXcosp_MV1_female "female * cosp_MV1_female (D)"

. label var cosp_lnpop "ln(population) in cong. district (Scott Adler + Census Summary Files) (D)"

. label var cosp_lnarea "Ln(area in sq. miles) of cong. district (Scott Adler + Census Summary Files) (D)"

. label var cosp_lninc "Ln(median family income) of cong. district (Scott Adler + Census Summary Files) (D)"
note: label truncated to 80 characters

. label var cosp_pct_b "% black in cong. district (Scott Adler + Census Summary Files) (D)"

. label var cosp_pct_u "% urban in cong. district (Scott Adler + Census Summary Files) (D)"

. label var cosp_pct_f "% foreign born in cong. district (Scott Adler + Census Summary Files) (D)"

. label var cosp_pct_a "% age over 65 in cong. district (Scott Adler + Census Summary Files) (D)"

. 
. foreach housecomm in "administration" /*
> */  "agriculture"  /*
> */  "appropriations" /*
> */  "armedservices" /*
> */  "budget" /*
> */  "dc"     /*
> */  "educlabor" /*
> */  "energycommerce" /* 
> */  "foreignaffairs" /*
> */  "governmentop" /*
> */  "intelligence" /*
> */  "interior" /*
> */  "judiciary" /* 
> */  "mmf"   /*
> */  "pocs"   /*
> */  "pwt"   /*
> */  "rules"  /*  
> */  "sst"   /* 
> */  "smallbusi"   /*
> */  "soc"    /*
> */  "veterans"   /*
> */  "waysandmeans" /*
> */  "naturalresources" /*
> */  "bfs"  /*
> */  "eeo"  /* 
> */  "govreform"  /* 
> */  "ir" /* 
> */  "natsecur" /* 
> */  "oversight" /*
> */  "resources" /*
> */  "science" /* 
> */  "transp" /*
> */  "homeland"  {
  2.         label var house_`housecomm'_m "House Committee: `housecomm'  (congress.gov) (B)"
  3. }

. 
. compress
  variable v2 was long now int
  (9,754 bytes saved)

. save "$AnalysisData/cosponsors_analysis_101-111_replication.dta", replace
file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Data/AnalysisData/cosponsors_analysis_101-111_replication.dta saved

. 
. 
. ********************************************************************************
. clear

. use "$IntermediateData/sponsors_analysis_101-111_clean.dta"

. 
. ren sponsor sponsor_name

. 
. keep v2 sponsor_state_abbrev sponsor_district sponsor_term_served sponsor_name /*
> */   sponsor_female sponsor_party dwnom1 predicted_dem

. 
. order v2 sponsor_state_abbrev sponsor_district sponsor_term_served sponsor_name /*
> */   sponsor_female sponsor_party dwnom1 predicted_dem

. 
. 
. *label commands
. label data "Sponsor-level data set. Each observation is an individual congress member."

. 
. label var sponsor_state_abbrev "Sponsor state - postal code (I)"

. label var sponsor_district "Sponsor district (I)"

. label var sponsor_term_served "Sponsor order seated (I)"

. label var sponsor_name "Sponsor name (Congress.gov) (B)"

. label var sponsor_female "1 if sponsor is female (I)"

. label var sponsor_party "Sponsor party (I)"

. label var dwnom1 "DW-Nominate, 1st dimension (Poole-Rosenthal) (I)"

. label var predicted_dem "Predicted democratic share (D)"

. 
. save "$AnalysisData/sponsors_analysis_101-111_replication.dta", replace
file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Data/AnalysisData/sponsors_analysis_101-111_replication.dta saved

. 
. 
. log close
      name:  <unnamed>
       log:  /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Log/003_prepare_data_replication.log
  log type:  text
 closed on:  29 Mar 2021, 22:08:37
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