{smcl}
{com}{sf}{ul off}{txt}
{com}. 
. **** REPLICATION OF TABLE C17 ****
. 
. clear all
{res}{txt}
{com}. set mem 2g
{txt}{bf:set memory} ignored.
{p 4 4 2}
Memory no longer
needs to be set in modern Statas;
memory adjustments are performed on the fly
automatically.
{p_end}

{com}. set more off
{txt}
{com}. 
. /*      
>         OUTLINE
>         1. PREPARE DATA
>         2. REGRESSIONS
>         3. TABLE FOR PAPER
> */
. 
. ***************************
. ***** 1. PREPARE DATA *****
. ***************************
. 
. // Import data
. 
. use $data\EEREV-D-21-00004_Data_Interreg.dta, clear
{txt}
{com}. 
. keep if dep_inc==1
{txt}(223,410 observations deleted)

{com}. 
. tab annee, sum(alsace)

            {txt}{c |}          Summary of Alsace
Survey year {c |}        Mean   Std. dev.       Freq.
{hline 12}{c +}{hline 36}
       1985 {c |}  {res} .97961957    .1413939         736
  {txt}     1986 {c |}  {res} .70060484   .45822414         992
  {txt}     1987 {c |}  {res} .70327553   .45703424       1,038
  {txt}     1988 {c |}  {res}  .6993988   .45874938         998
  {txt}     1989 {c |}  {res} .72282609   .44780596       1,104
  {txt}     1991 {c |}  {res}  .7059448   .45585891         942
  {txt}     1992 {c |}  {res}  .7007874   .45813863       1,016
  {txt}     1993 {c |}  {res} .69268775   .46160805       1,012
  {txt}     1994 {c |}  {res} .69397828   .46106646       1,013
  {txt}     1995 {c |}  {res} .69941061   .45873972       1,018
  {txt}     1996 {c |}  {res}  .7029703   .45717611       1,010
  {txt}     1997 {c |}  {res} .69822485   .45925473       1,014
  {txt}     1998 {c |}  {res}  .7007007    .4581805         999
  {txt}     1999 {c |}  {res} .69781312   .45943421       1,006
  {txt}     2000 {c |}  {res} .69223206   .46179706       1,017
  {txt}     2001 {c |}  {res} .68897638   .46314042       1,016
  {txt}     2002 {c |}  {res} .69405941   .46103296       1,010
  {txt}     2003 {c |}  {res} .69753695   .45955111       1,015
  {txt}     2004 {c |}  {res}         1           0         715
{txt}{hline 12}{c +}{hline 36}
      Total {c |}  {res} .72213593   .44795801      18,671
{txt}
{com}. drop if annee==2004 // Only alsace
{txt}(715 observations deleted)

{com}. 
. // Each party separately
.         
. levelsof proximite, local(levels)
{res}{txt}`"CNIP"' `"CPNT"' `"DL"' `"Droite de Millon"' `"ECO"' `"ECOA"' `"EELV"' `"EXG"' `"FN"' `"GE"' `"MDC"' `"MNR"' `"MPF"' `"NA"' `"PCF"' `"PRG"' `"PS"' `"PSU"' `"RPF"' `"RPR"' `"UDF"'

{com}. tab proximite, g(prox_)

   {txt}Party feeling {c |}
       closer to {c |}      Freq.     Percent        Cum.
{hline 17}{c +}{hline 35}
            CNIP {c |}{res}         92        0.51        0.51
{txt}            CPNT {c |}{res}        278        1.55        2.06
{txt}              DL {c |}{res}         77        0.43        2.49
{txt}Droite de Millon {c |}{res}         11        0.06        2.55
{txt}             ECO {c |}{res}        546        3.04        5.59
{txt}            ECOA {c |}{res}         84        0.47        6.06
{txt}            EELV {c |}{res}      1,200        6.69       12.75
{txt}             EXG {c |}{res}        395        2.20       14.95
{txt}              FN {c |}{res}        778        4.33       19.28
{txt}              GE {c |}{res}        424        2.36       21.65
{txt}             MDC {c |}{res}        109        0.61       22.25
{txt}             MNR {c |}{res}         52        0.29       22.54
{txt}             MPF {c |}{res}         29        0.16       22.70
{txt}              NA {c |}{res}      4,635       25.82       48.53
{txt}             PCF {c |}{res}        313        1.74       50.27
{txt}             PRG {c |}{res}        215        1.20       51.47
{txt}              PS {c |}{res}      3,768       20.99       72.46
{txt}             PSU {c |}{res}         92        0.51       72.98
{txt}             RPF {c |}{res}        146        0.81       73.79
{txt}             RPR {c |}{res}      2,815       15.68       89.48
{txt}             UDF {c |}{res}      1,889       10.52      100.00
{txt}{hline 17}{c +}{hline 35}
           Total {c |}{res}     17,948      100.00
{txt}
{com}. 
. // Transmission variables
. 
. cap drop born_1908_1913 born_1914_1927
{txt}
{com}. g born_1908_1913=1*(birthyr>=1908 & birthyr<=1913 & sexe==1)
{txt}
{com}. g born_1908_1913_fem=1*(birthyr>=1908 & birthyr<=1913 & sexe==2)
{txt}
{com}. g born_1914_1927=1*(birthyr>=1914 & birthyr<=1927 & sexe==1)
{txt}
{com}. g born_1914_1927_fem=1*(birthyr>=1914 & birthyr<=1927 & sexe==2)
{txt}
{com}. 
. // Code parties not present as missing
. 
. forvalues i=1(1)21{c -(} 
{txt}  2{com}. 
. levelsof annee, local(levels)
{txt}  3{com}. foreach l of local levels{c -(}
{txt}  4{com}.         
.         qui sum prox_`i' if annee==`l'
{txt}  5{com}.         g tmp=r(sd)
{txt}  6{com}.         replace prox_`i'=. if tmp==0 & annee==`l'
{txt}  7{com}.         drop tmp
{txt}  8{com}.         
. {c )-}
{txt}  9{com}. {c )-}
{res}{txt}1985 1986 1987 1988 1989 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(1,016 real changes made, 1,016 to missing)
(1,012 real changes made, 1,012 to missing)
(1,006 real changes made, 1,006 to missing)
(1,018 real changes made, 1,018 to missing)
(1,010 real changes made, 1,010 to missing)
(1,014 real changes made, 1,014 to missing)
(999 real changes made, 999 to missing)
(1,006 real changes made, 1,006 to missing)
(1,017 real changes made, 1,017 to missing)
(1,016 real changes made, 1,016 to missing)
(1,010 real changes made, 1,010 to missing)
(1,015 real changes made, 1,015 to missing)
{res}{txt}1985 1986 1987 1988 1989 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003
(736 real changes made, 736 to missing)
(992 real changes made, 992 to missing)
(1,038 real changes made, 1,038 to missing)
(997 real changes made, 997 to missing)
(1,104 real changes made, 1,104 to missing)
(942 real changes made, 942 to missing)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
{res}{txt}1985 1986 1987 1988 1989 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003
(736 real changes made, 736 to missing)
(992 real changes made, 992 to missing)
(1,038 real changes made, 1,038 to missing)
(997 real changes made, 997 to missing)
(1,104 real changes made, 1,104 to missing)
(942 real changes made, 942 to missing)
(1,016 real changes made, 1,016 to missing)
(1,012 real changes made, 1,012 to missing)
(1,006 real changes made, 1,006 to missing)
(1,018 real changes made, 1,018 to missing)
(1,010 real changes made, 1,010 to missing)
(1,014 real changes made, 1,014 to missing)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(1,015 real changes made, 1,015 to missing)
{res}{txt}1985 1986 1987 1988 1989 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003
(736 real changes made, 736 to missing)
(992 real changes made, 992 to missing)
(1,038 real changes made, 1,038 to missing)
(997 real changes made, 997 to missing)
(1,104 real changes made, 1,104 to missing)
(942 real changes made, 942 to missing)
(1,016 real changes made, 1,016 to missing)
(1,012 real changes made, 1,012 to missing)
(1,006 real changes made, 1,006 to missing)
(1,018 real changes made, 1,018 to missing)
(1,010 real changes made, 1,010 to missing)
(1,014 real changes made, 1,014 to missing)
(0 real changes made)
(1,006 real changes made, 1,006 to missing)
(1,017 real changes made, 1,017 to missing)
(1,016 real changes made, 1,016 to missing)
(1,010 real changes made, 1,010 to missing)
(1,015 real changes made, 1,015 to missing)
{res}{txt}1985 1986 1987 1988 1989 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(1,016 real changes made, 1,016 to missing)
(1,012 real changes made, 1,012 to missing)
(1,006 real changes made, 1,006 to missing)
(1,018 real changes made, 1,018 to missing)
(1,010 real changes made, 1,010 to missing)
(1,014 real changes made, 1,014 to missing)
(999 real changes made, 999 to missing)
(1,006 real changes made, 1,006 to missing)
(1,017 real changes made, 1,017 to missing)
(1,016 real changes made, 1,016 to missing)
(1,010 real changes made, 1,010 to missing)
(1,015 real changes made, 1,015 to missing)
{res}{txt}1985 1986 1987 1988 1989 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003
(736 real changes made, 736 to missing)
(992 real changes made, 992 to missing)
(1,038 real changes made, 1,038 to missing)
(997 real changes made, 997 to missing)
(1,104 real changes made, 1,104 to missing)
(942 real changes made, 942 to missing)
(1,016 real changes made, 1,016 to missing)
(1,012 real changes made, 1,012 to missing)
(1,006 real changes made, 1,006 to missing)
(1,018 real changes made, 1,018 to missing)
(1,010 real changes made, 1,010 to missing)
(1,014 real changes made, 1,014 to missing)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
{res}{txt}1985 1986 1987 1988 1989 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003
(736 real changes made, 736 to missing)
(992 real changes made, 992 to missing)
(1,038 real changes made, 1,038 to missing)
(997 real changes made, 997 to missing)
(1,104 real changes made, 1,104 to missing)
(942 real changes made, 942 to missing)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
{res}{txt}1985 1986 1987 1988 1989 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
{res}{txt}1985 1986 1987 1988 1989 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
{res}{txt}1985 1986 1987 1988 1989 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003
(736 real changes made, 736 to missing)
(992 real changes made, 992 to missing)
(1,038 real changes made, 1,038 to missing)
(997 real changes made, 997 to missing)
(1,104 real changes made, 1,104 to missing)
(942 real changes made, 942 to missing)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(999 real changes made, 999 to missing)
(1,006 real changes made, 1,006 to missing)
(1,017 real changes made, 1,017 to missing)
(1,016 real changes made, 1,016 to missing)
(1,010 real changes made, 1,010 to missing)
(1,015 real changes made, 1,015 to missing)
{res}{txt}1985 1986 1987 1988 1989 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003
(736 real changes made, 736 to missing)
(992 real changes made, 992 to missing)
(1,038 real changes made, 1,038 to missing)
(997 real changes made, 997 to missing)
(1,104 real changes made, 1,104 to missing)
(942 real changes made, 942 to missing)
(1,016 real changes made, 1,016 to missing)
(1,012 real changes made, 1,012 to missing)
(1,006 real changes made, 1,006 to missing)
(1,018 real changes made, 1,018 to missing)
(1,010 real changes made, 1,010 to missing)
(1,014 real changes made, 1,014 to missing)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
{res}{txt}1985 1986 1987 1988 1989 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003
(736 real changes made, 736 to missing)
(992 real changes made, 992 to missing)
(1,038 real changes made, 1,038 to missing)
(997 real changes made, 997 to missing)
(1,104 real changes made, 1,104 to missing)
(942 real changes made, 942 to missing)
(1,016 real changes made, 1,016 to missing)
(1,012 real changes made, 1,012 to missing)
(1,006 real changes made, 1,006 to missing)
(1,018 real changes made, 1,018 to missing)
(1,010 real changes made, 1,010 to missing)
(1,014 real changes made, 1,014 to missing)
(999 real changes made, 999 to missing)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
{res}{txt}1985 1986 1987 1988 1989 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003
(736 real changes made, 736 to missing)
(992 real changes made, 992 to missing)
(1,038 real changes made, 1,038 to missing)
(997 real changes made, 997 to missing)
(1,104 real changes made, 1,104 to missing)
(942 real changes made, 942 to missing)
(1,016 real changes made, 1,016 to missing)
(1,012 real changes made, 1,012 to missing)
(1,006 real changes made, 1,006 to missing)
(1,018 real changes made, 1,018 to missing)
(1,010 real changes made, 1,010 to missing)
(1,014 real changes made, 1,014 to missing)
(0 real changes made)
(1,006 real changes made, 1,006 to missing)
(1,017 real changes made, 1,017 to missing)
(1,016 real changes made, 1,016 to missing)
(0 real changes made)
(0 real changes made)
{res}{txt}1985 1986 1987 1988 1989 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
{res}{txt}1985 1986 1987 1988 1989 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
{res}{txt}1985 1986 1987 1988 1989 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
{res}{txt}1985 1986 1987 1988 1989 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
{res}{txt}1985 1986 1987 1988 1989 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003
(0 real changes made)
(0 real changes made)
(0 real changes made)
(997 real changes made, 997 to missing)
(1,104 real changes made, 1,104 to missing)
(942 real changes made, 942 to missing)
(1,016 real changes made, 1,016 to missing)
(1,012 real changes made, 1,012 to missing)
(1,006 real changes made, 1,006 to missing)
(1,018 real changes made, 1,018 to missing)
(1,010 real changes made, 1,010 to missing)
(1,014 real changes made, 1,014 to missing)
(999 real changes made, 999 to missing)
(1,006 real changes made, 1,006 to missing)
(1,017 real changes made, 1,017 to missing)
(1,016 real changes made, 1,016 to missing)
(1,010 real changes made, 1,010 to missing)
(1,015 real changes made, 1,015 to missing)
{res}{txt}1985 1986 1987 1988 1989 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003
(736 real changes made, 736 to missing)
(992 real changes made, 992 to missing)
(1,038 real changes made, 1,038 to missing)
(997 real changes made, 997 to missing)
(1,104 real changes made, 1,104 to missing)
(942 real changes made, 942 to missing)
(1,016 real changes made, 1,016 to missing)
(1,012 real changes made, 1,012 to missing)
(1,006 real changes made, 1,006 to missing)
(1,018 real changes made, 1,018 to missing)
(1,010 real changes made, 1,010 to missing)
(1,014 real changes made, 1,014 to missing)
(999 real changes made, 999 to missing)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
{res}{txt}1985 1986 1987 1988 1989 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
{res}{txt}1985 1986 1987 1988 1989 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)

{com}. 
. // Rad right parties
. 
. g prox_32=max(prox_4, prox_13, prox_19) // Droite de Millon, MPF, RPF
{txt}(11,893 missing values generated)

{com}. g prox_33=max(prox_12, prox_32) // MNR, Droite de Millon, MPF, RPF
{txt}(11,893 missing values generated)

{com}. 
. **************************
. ***** 2. REGRESSIONS *****
. **************************
. 
. // Regressions
. 
. foreach var in confiance11 proximiteFN prox_9 prox_12 prox_32 prox_33{c -(}
{txt}  2{com}.         
.         reghdfe `var' alsace /// 
>                 c.born_1908_1913_fem#c.alsace c.born_1908_1913#c.alsace c.p_g1_1908_1913#c.alsace c.p_g2_1908_1913#c.alsace if birthyr>1907, ///
>                 cluster(i.birthyr#i.alsace) a(i.birthyr#i.sexe i.nationalite_pop i.religion i.anciennete i.annee)
{txt}  3{com}. 
.         estimates store G0`var'
{txt}  4{com}.         qui sum `var' if e(sample)
{txt}  5{com}.         scalar mean_y=r(mean)
{txt}  6{com}.         estadd scalar mean_y
{txt}  7{com}. 
. {c )-}
{res}{txt}(dropped 1 {browse "http://scorreia.com/research/singletons.pdf":singleton observations})
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 7 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}     1,935
{txt}Absorbing 5 HDFE groups{col 51}F({res}   5{txt},{res}    132{txt}){col 67}= {res}     54.20
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.0883
{txt}{col 51}Adj R-squared{col 67}= {res}    0.0139
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0048
{txt}{col 1}Number of clusters ({res}birthyr#alsace{txt}) {col 30}= {res}       133{txt}{col 51}Root MSE{col 67}= {res}    0.4954

{txt}{ralign 95:(Std. err. adjusted for {res:133} clusters in birthyr#alsace)}
{hline 30}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 31}{c |}{col 43}    Robust
{col 1}                  confiance11{col 31}{c |} Coefficient{col 43}  std. err.{col 55}      t{col 63}   P>|t|{col 71}     [95% con{col 84}f. interval]
{hline 30}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 23}alsace {c |}{col 31}{res}{space 2} .0641719{col 43}{space 2} .0347286{col 54}{space 1}    1.85{col 63}{space 3}0.067{col 71}{space 4}-.0045248{col 84}{space 3} .1328686
{txt}{space 29} {c |}
c.born_1908_1913_fem#c.alsace {c |}{col 31}{res}{space 2} .1198645{col 43}{space 2} .1874597{col 54}{space 1}    0.64{col 63}{space 3}0.524{col 71}{space 4}-.2509492{col 84}{space 3} .4906783
{txt}{space 29} {c |}
{space 4}c.born_1908_1913#c.alsace {c |}{col 31}{res}{space 2}-.5356877{col 43}{space 2} .0529794{col 54}{space 1}  -10.11{col 63}{space 3}0.000{col 71}{space 4}-.6404862{col 84}{space 3}-.4308893
{txt}{space 29} {c |}
{space 4}c.p_g1_1908_1913#c.alsace {c |}{col 31}{res}{space 2}-.5998269{col 43}{space 2} .1451812{col 54}{space 1}   -4.13{col 63}{space 3}0.000{col 71}{space 4}-.8870096{col 84}{space 3}-.3126442
{txt}{space 29} {c |}
{space 4}c.p_g2_1908_1913#c.alsace {c |}{col 31}{res}{space 2}-.2182065{col 43}{space 2} .1571701{col 54}{space 1}   -1.39{col 63}{space 3}0.167{col 71}{space 4}-.5291044{col 84}{space 3} .0926915
{txt}{space 29} {c |}
{space 24}_cons {c |}{col 31}{res}{space 2} .5576815{col 43}{space 2} .0210679{col 54}{space 1}   26.47{col 63}{space 3}0.000{col 71}{space 4} .5160071{col 84}{space 3} .5993559
{txt}{hline 30}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 17}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}     Absorbed FE{col 18}{c |} Categories{col 31} - Redundant{col 43}  = Num. Coefs{col 58}{c |}
{res}{col 1}{text}{hline 17}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}    birthyr#sexe{col 18}{c |}{space 1}      133{col 31}{space 1}        0{col 43}{result}{space 1}      133{col 57}{text} {col 58}{c |}
{res}{col 1}{text} nationalite_pop{col 18}{c |}{space 1}        2{col 31}{space 1}        1{col 43}{result}{space 1}        1{col 57}{text} {col 58}{c |}
{res}{col 1}{text}        religion{col 18}{c |}{space 1}        6{col 31}{space 1}        1{col 43}{result}{space 1}        5{col 57}{text}?{col 58}{c |}
{res}{col 1}{text}      anciennete{col 18}{c |}{space 1}        3{col 31}{space 1}        1{col 43}{result}{space 1}        2{col 57}{text}?{col 58}{c |}
{res}{col 1}{text}           annee{col 18}{c |}{space 1}        2{col 31}{space 1}        1{col 43}{result}{space 1}        1{col 57}{text}?{col 58}{c |}
{res}{col 1}{text}{hline 17}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
             e(mean_y) =  {res}.53488372
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}    17,667
{txt}Absorbing 5 HDFE groups{col 51}F({res}   5{txt},{res}    155{txt}){col 67}= {res}      4.83
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0004
{txt}{col 51}R-squared{col 67}= {res}    0.0232
{txt}{col 51}Adj R-squared{col 67}= {res}    0.0128
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0001
{txt}{col 1}Number of clusters ({res}birthyr#alsace{txt}) {col 30}= {res}       156{txt}{col 51}Root MSE{col 67}= {res}    0.2305

{txt}{ralign 95:(Std. err. adjusted for {res:156} clusters in birthyr#alsace)}
{hline 30}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 31}{c |}{col 43}    Robust
{col 1}                  proximiteFN{col 31}{c |} Coefficient{col 43}  std. err.{col 55}      t{col 63}   P>|t|{col 71}     [95% con{col 84}f. interval]
{hline 30}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 23}alsace {c |}{col 31}{res}{space 2} .0011466{col 43}{space 2} .0054449{col 54}{space 1}    0.21{col 63}{space 3}0.833{col 71}{space 4}-.0096092{col 84}{space 3} .0119025
{txt}{space 29} {c |}
c.born_1908_1913_fem#c.alsace {c |}{col 31}{res}{space 2}-.0012958{col 43}{space 2} .0060708{col 54}{space 1}   -0.21{col 63}{space 3}0.831{col 71}{space 4}-.0132881{col 84}{space 3} .0106964
{txt}{space 29} {c |}
{space 4}c.born_1908_1913#c.alsace {c |}{col 31}{res}{space 2} .0363914{col 43}{space 2}  .009508{col 54}{space 1}    3.83{col 63}{space 3}0.000{col 71}{space 4} .0176094{col 84}{space 3} .0551735
{txt}{space 29} {c |}
{space 4}c.p_g1_1908_1913#c.alsace {c |}{col 31}{res}{space 2} -.006941{col 43}{space 2} .0341104{col 54}{space 1}   -0.20{col 63}{space 3}0.839{col 71}{space 4}-.0743223{col 84}{space 3} .0604404
{txt}{space 29} {c |}
{space 4}c.p_g2_1908_1913#c.alsace {c |}{col 31}{res}{space 2}-.0220322{col 43}{space 2} .0185703{col 54}{space 1}   -1.19{col 63}{space 3}0.237{col 71}{space 4}-.0587158{col 84}{space 3} .0146514
{txt}{space 29} {c |}
{space 24}_cons {c |}{col 31}{res}{space 2} .0592023{col 43}{space 2} .0028773{col 54}{space 1}   20.58{col 63}{space 3}0.000{col 71}{space 4} .0535185{col 84}{space 3} .0648862
{txt}{hline 30}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 17}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}     Absorbed FE{col 18}{c |} Categories{col 31} - Redundant{col 43}  = Num. Coefs{col 58}{c |}
{res}{col 1}{text}{hline 17}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}    birthyr#sexe{col 18}{c |}{space 1}      156{col 31}{space 1}        0{col 43}{result}{space 1}      156{col 57}{text} {col 58}{c |}
{res}{col 1}{text} nationalite_pop{col 18}{c |}{space 1}        3{col 31}{space 1}        1{col 43}{result}{space 1}        2{col 57}{text} {col 58}{c |}
{res}{col 1}{text}        religion{col 18}{c |}{space 1}        7{col 31}{space 1}        1{col 43}{result}{space 1}        6{col 57}{text}?{col 58}{c |}
{res}{col 1}{text}      anciennete{col 18}{c |}{space 1}        4{col 31}{space 1}        1{col 43}{result}{space 1}        3{col 57}{text}?{col 58}{c |}
{res}{col 1}{text}           annee{col 18}{c |}{space 1}       18{col 31}{space 1}        2{col 43}{result}{space 1}       16{col 57}{text}?{col 58}{c |}
{res}{col 1}{text}{hline 17}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
             e(mean_y) =  {res}.05705553
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}    17,667
{txt}Absorbing 5 HDFE groups{col 51}F({res}   5{txt},{res}    155{txt}){col 67}= {res}      6.10
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.0184
{txt}{col 51}Adj R-squared{col 67}= {res}    0.0079
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0003
{txt}{col 1}Number of clusters ({res}birthyr#alsace{txt}) {col 30}= {res}       156{txt}{col 51}Root MSE{col 67}= {res}    0.2035

{txt}{ralign 95:(Std. err. adjusted for {res:156} clusters in birthyr#alsace)}
{hline 30}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 31}{c |}{col 43}    Robust
{col 1}                       prox_9{col 31}{c |} Coefficient{col 43}  std. err.{col 55}      t{col 63}   P>|t|{col 71}     [95% con{col 84}f. interval]
{hline 30}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 23}alsace {c |}{col 31}{res}{space 2} .0057225{col 43}{space 2} .0049308{col 54}{space 1}    1.16{col 63}{space 3}0.248{col 71}{space 4}-.0040178{col 84}{space 3} .0154628
{txt}{space 29} {c |}
c.born_1908_1913_fem#c.alsace {c |}{col 31}{res}{space 2}-.0042058{col 43}{space 2} .0057766{col 54}{space 1}   -0.73{col 63}{space 3}0.468{col 71}{space 4}-.0156168{col 84}{space 3} .0072052
{txt}{space 29} {c |}
{space 4}c.born_1908_1913#c.alsace {c |}{col 31}{res}{space 2} .0330606{col 43}{space 2} .0095016{col 54}{space 1}    3.48{col 63}{space 3}0.001{col 71}{space 4} .0142912{col 84}{space 3}   .05183
{txt}{space 29} {c |}
{space 4}c.p_g1_1908_1913#c.alsace {c |}{col 31}{res}{space 2}-.0259227{col 43}{space 2} .0314986{col 54}{space 1}   -0.82{col 63}{space 3}0.412{col 71}{space 4}-.0881447{col 84}{space 3} .0362992
{txt}{space 29} {c |}
{space 4}c.p_g2_1908_1913#c.alsace {c |}{col 31}{res}{space 2}-.0404341{col 43}{space 2} .0159456{col 54}{space 1}   -2.54{col 63}{space 3}0.012{col 71}{space 4}-.0719329{col 84}{space 3}-.0089354
{txt}{space 29} {c |}
{space 24}_cons {c |}{col 31}{res}{space 2} .0460984{col 43}{space 2} .0025244{col 54}{space 1}   18.26{col 63}{space 3}0.000{col 71}{space 4} .0411118{col 84}{space 3}  .051085
{txt}{hline 30}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 17}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}     Absorbed FE{col 18}{c |} Categories{col 31} - Redundant{col 43}  = Num. Coefs{col 58}{c |}
{res}{col 1}{text}{hline 17}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}    birthyr#sexe{col 18}{c |}{space 1}      156{col 31}{space 1}        0{col 43}{result}{space 1}      156{col 57}{text} {col 58}{c |}
{res}{col 1}{text} nationalite_pop{col 18}{c |}{space 1}        3{col 31}{space 1}        1{col 43}{result}{space 1}        2{col 57}{text} {col 58}{c |}
{res}{col 1}{text}        religion{col 18}{c |}{space 1}        7{col 31}{space 1}        1{col 43}{result}{space 1}        6{col 57}{text}?{col 58}{c |}
{res}{col 1}{text}      anciennete{col 18}{c |}{space 1}        4{col 31}{space 1}        1{col 43}{result}{space 1}        3{col 57}{text}?{col 58}{c |}
{res}{col 1}{text}           annee{col 18}{c |}{space 1}       18{col 31}{space 1}        2{col 43}{result}{space 1}       16{col 57}{text}?{col 58}{c |}
{res}{col 1}{text}{hline 17}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
             e(mean_y) =  {res}.04364069
{txt}(dropped 4 {browse "http://scorreia.com/research/singletons.pdf":singleton observations})
{res}{txt}note: {res}c.born_1908_1913_fem#c.alsace{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}c.born_1908_1913#c.alsace{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}{txt}note: c.born_1908_1913_fem#c.alsace omitted because of collinearity
{txt}note: c.born_1908_1913#c.alsace omitted because of collinearity
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}     5,019
{txt}Absorbing 5 HDFE groups{col 51}F({res}   3{txt},{res}    143{txt}){col 67}= {res}      2.21
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0891
{txt}{col 51}R-squared{col 67}= {res}    0.0299
{txt}{col 51}Adj R-squared{col 67}= {res}   -0.0012
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0006
{txt}{col 1}Number of clusters ({res}birthyr#alsace{txt}) {col 30}= {res}       144{txt}{col 51}Root MSE{col 67}= {res}    0.1013

{txt}{ralign 95:(Std. err. adjusted for {res:144} clusters in birthyr#alsace)}
{hline 30}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 31}{c |}{col 43}    Robust
{col 1}                      prox_12{col 31}{c |} Coefficient{col 43}  std. err.{col 55}      t{col 63}   P>|t|{col 71}     [95% con{col 84}f. interval]
{hline 30}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 23}alsace {c |}{col 31}{res}{space 2}-.0025057{col 43}{space 2} .0053189{col 54}{space 1}   -0.47{col 63}{space 3}0.638{col 71}{space 4}-.0130195{col 84}{space 3} .0080082
{txt}{space 29} {c |}
c.born_1908_1913_fem#c.alsace {c |}{col 31}{res}{space 2}        0{col 43}{txt}  (omitted)
{space 29} {c |}
{space 4}c.born_1908_1913#c.alsace {c |}{col 31}{res}{space 2}        0{col 43}{txt}  (omitted)
{space 29} {c |}
{space 4}c.p_g1_1908_1913#c.alsace {c |}{col 31}{res}{space 2}-.0074134{col 43}{space 2} .0239511{col 54}{space 1}   -0.31{col 63}{space 3}0.757{col 71}{space 4}-.0547572{col 84}{space 3} .0399305
{txt}{space 29} {c |}
{space 4}c.p_g2_1908_1913#c.alsace {c |}{col 31}{res}{space 2}  .024388{col 43}{space 2} .0148233{col 54}{space 1}    1.65{col 63}{space 3}0.102{col 71}{space 4}-.0049131{col 84}{space 3}  .053689
{txt}{space 29} {c |}
{space 24}_cons {c |}{col 31}{res}{space 2} .0090839{col 43}{space 2} .0020645{col 54}{space 1}    4.40{col 63}{space 3}0.000{col 71}{space 4} .0050031{col 84}{space 3} .0131647
{txt}{hline 30}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 17}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}     Absorbed FE{col 18}{c |} Categories{col 31} - Redundant{col 43}  = Num. Coefs{col 58}{c |}
{res}{col 1}{text}{hline 17}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}    birthyr#sexe{col 18}{c |}{space 1}      145{col 31}{space 1}        0{col 43}{result}{space 1}      145{col 57}{text} {col 58}{c |}
{res}{col 1}{text} nationalite_pop{col 18}{c |}{space 1}        1{col 31}{space 1}        1{col 43}{result}{space 1}        0{col 57}{text} {col 58}{c |}
{res}{col 1}{text}        religion{col 18}{c |}{space 1}        6{col 31}{space 1}        1{col 43}{result}{space 1}        5{col 57}{text}?{col 58}{c |}
{res}{col 1}{text}      anciennete{col 18}{c |}{space 1}        1{col 31}{space 1}        1{col 43}{result}{space 1}        0{col 57}{text}?{col 58}{c |}
{res}{col 1}{text}           annee{col 18}{c |}{space 1}        5{col 31}{space 1}        1{col 43}{result}{space 1}        4{col 57}{text}?{col 58}{c |}
{res}{col 1}{text}{hline 17}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
             e(mean_y) =  {res}.01036063
{txt}(dropped 4 {browse "http://scorreia.com/research/singletons.pdf":singleton observations})
{res}{txt}note: {res}c.born_1908_1913_fem#c.alsace{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}c.born_1908_1913#c.alsace{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}{txt}note: c.born_1908_1913_fem#c.alsace omitted because of collinearity
{txt}note: c.born_1908_1913#c.alsace omitted because of collinearity
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}     6,003
{txt}Absorbing 5 HDFE groups{col 51}F({res}   3{txt},{res}    144{txt}){col 67}= {res}      1.17
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.3233
{txt}{col 51}R-squared{col 67}= {res}    0.0383
{txt}{col 51}Adj R-squared{col 67}= {res}    0.0119
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0003
{txt}{col 1}Number of clusters ({res}birthyr#alsace{txt}) {col 30}= {res}       145{txt}{col 51}Root MSE{col 67}= {res}    0.1718

{txt}{ralign 95:(Std. err. adjusted for {res:145} clusters in birthyr#alsace)}
{hline 30}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 31}{c |}{col 43}    Robust
{col 1}                      prox_32{col 31}{c |} Coefficient{col 43}  std. err.{col 55}      t{col 63}   P>|t|{col 71}     [95% con{col 84}f. interval]
{hline 30}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 23}alsace {c |}{col 31}{res}{space 2}-.0149399{col 43}{space 2} .0104037{col 54}{space 1}   -1.44{col 63}{space 3}0.153{col 71}{space 4}-.0355036{col 84}{space 3} .0056238
{txt}{space 29} {c |}
c.born_1908_1913_fem#c.alsace {c |}{col 31}{res}{space 2}        0{col 43}{txt}  (omitted)
{space 29} {c |}
{space 4}c.born_1908_1913#c.alsace {c |}{col 31}{res}{space 2}        0{col 43}{txt}  (omitted)
{space 29} {c |}
{space 4}c.p_g1_1908_1913#c.alsace {c |}{col 31}{res}{space 2} .0743004{col 43}{space 2} .0404926{col 54}{space 1}    1.83{col 63}{space 3}0.069{col 71}{space 4}-.0057363{col 84}{space 3} .1543371
{txt}{space 29} {c |}
{space 4}c.p_g2_1908_1913#c.alsace {c |}{col 31}{res}{space 2}  .043632{col 43}{space 2} .0313069{col 54}{space 1}    1.39{col 63}{space 3}0.166{col 71}{space 4}-.0182485{col 84}{space 3} .1055125
{txt}{space 29} {c |}
{space 24}_cons {c |}{col 31}{res}{space 2} .0305998{col 43}{space 2} .0033222{col 54}{space 1}    9.21{col 63}{space 3}0.000{col 71}{space 4} .0240333{col 84}{space 3} .0371663
{txt}{hline 30}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 17}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}     Absorbed FE{col 18}{c |} Categories{col 31} - Redundant{col 43}  = Num. Coefs{col 58}{c |}
{res}{col 1}{text}{hline 17}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}    birthyr#sexe{col 18}{c |}{space 1}      146{col 31}{space 1}        0{col 43}{result}{space 1}      146{col 57}{text} {col 58}{c |}
{res}{col 1}{text} nationalite_pop{col 18}{c |}{space 1}        1{col 31}{space 1}        1{col 43}{result}{space 1}        0{col 57}{text} {col 58}{c |}
{res}{col 1}{text}        religion{col 18}{c |}{space 1}        6{col 31}{space 1}        1{col 43}{result}{space 1}        5{col 57}{text}?{col 58}{c |}
{res}{col 1}{text}      anciennete{col 18}{c |}{space 1}        4{col 31}{space 1}        1{col 43}{result}{space 1}        3{col 57}{text}?{col 58}{c |}
{res}{col 1}{text}           annee{col 18}{c |}{space 1}        6{col 31}{space 1}        2{col 43}{result}{space 1}        4{col 57}{text}?{col 58}{c |}
{res}{col 1}{text}{hline 17}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
             e(mean_y) =  {res}.03081792
{txt}(dropped 4 {browse "http://scorreia.com/research/singletons.pdf":singleton observations})
{res}{txt}note: {res}c.born_1908_1913_fem#c.alsace{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}note: {res}c.born_1908_1913#c.alsace{txt} is probably collinear with the fixed effects (all partialled-out values are close to zero; tol = 1.0e-09)
{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}{txt}note: c.born_1908_1913_fem#c.alsace omitted because of collinearity
{txt}note: c.born_1908_1913#c.alsace omitted because of collinearity
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}     6,003
{txt}Absorbing 5 HDFE groups{col 51}F({res}   3{txt},{res}    144{txt}){col 67}= {res}      1.48
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.2226
{txt}{col 51}R-squared{col 67}= {res}    0.0369
{txt}{col 51}Adj R-squared{col 67}= {res}    0.0106
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0004
{txt}{col 1}Number of clusters ({res}birthyr#alsace{txt}) {col 30}= {res}       145{txt}{col 51}Root MSE{col 67}= {res}    0.1937

{txt}{ralign 95:(Std. err. adjusted for {res:145} clusters in birthyr#alsace)}
{hline 30}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 31}{c |}{col 43}    Robust
{col 1}                      prox_33{col 31}{c |} Coefficient{col 43}  std. err.{col 55}      t{col 63}   P>|t|{col 71}     [95% con{col 84}f. interval]
{hline 30}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 23}alsace {c |}{col 31}{res}{space 2} -.017096{col 43}{space 2} .0113566{col 54}{space 1}   -1.51{col 63}{space 3}0.134{col 71}{space 4}-.0395431{col 84}{space 3} .0053511
{txt}{space 29} {c |}
c.born_1908_1913_fem#c.alsace {c |}{col 31}{res}{space 2}        0{col 43}{txt}  (omitted)
{space 29} {c |}
{space 4}c.born_1908_1913#c.alsace {c |}{col 31}{res}{space 2}        0{col 43}{txt}  (omitted)
{space 29} {c |}
{space 4}c.p_g1_1908_1913#c.alsace {c |}{col 31}{res}{space 2} .0689912{col 43}{space 2} .0449632{col 54}{space 1}    1.53{col 63}{space 3}0.127{col 71}{space 4}-.0198819{col 84}{space 3} .1578642
{txt}{space 29} {c |}
{space 4}c.p_g2_1908_1913#c.alsace {c |}{col 31}{res}{space 2} .0638516{col 43}{space 2} .0326451{col 54}{space 1}    1.96{col 63}{space 3}0.052{col 71}{space 4}-.0006738{col 84}{space 3}  .128377
{txt}{space 29} {c |}
{space 24}_cons {c |}{col 31}{res}{space 2} .0382406{col 43}{space 2} .0037514{col 54}{space 1}   10.19{col 63}{space 3}0.000{col 71}{space 4} .0308257{col 84}{space 3} .0456555
{txt}{hline 30}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 17}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}     Absorbed FE{col 18}{c |} Categories{col 31} - Redundant{col 43}  = Num. Coefs{col 58}{c |}
{res}{col 1}{text}{hline 17}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}    birthyr#sexe{col 18}{c |}{space 1}      146{col 31}{space 1}        0{col 43}{result}{space 1}      146{col 57}{text} {col 58}{c |}
{res}{col 1}{text} nationalite_pop{col 18}{c |}{space 1}        1{col 31}{space 1}        1{col 43}{result}{space 1}        0{col 57}{text} {col 58}{c |}
{res}{col 1}{text}        religion{col 18}{c |}{space 1}        6{col 31}{space 1}        1{col 43}{result}{space 1}        5{col 57}{text}?{col 58}{c |}
{res}{col 1}{text}      anciennete{col 18}{c |}{space 1}        4{col 31}{space 1}        1{col 43}{result}{space 1}        3{col 57}{text}?{col 58}{c |}
{res}{col 1}{text}           annee{col 18}{c |}{space 1}        6{col 31}{space 1}        2{col 43}{result}{space 1}        4{col 57}{text}?{col 58}{c |}
{res}{col 1}{text}{hline 17}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
             e(mean_y) =  {res}.03948026
{txt}
{com}. 
. // Just coefficients with variation
. 
. foreach var in prox_12 prox_32 prox_33{c -(}
{txt}  2{com}.         
.         reghdfe `var' alsace /// 
>                 c.p_g1_1908_1913#c.alsace c.p_g2_1908_1913#c.alsace if birthyr>1907, ///
>                 cluster(i.birthyr#i.alsace) a(i.birthyr#i.sexe i.nationalite_pop i.religion i.anciennete i.annee)
{txt}  3{com}. 
.         estimates store G0`var'
{txt}  4{com}.         qui sum `var' if e(sample)
{txt}  5{com}.         scalar mean_y=r(mean)
{txt}  6{com}.         estadd scalar mean_y
{txt}  7{com}. 
. {c )-}
{res}{txt}(dropped 4 {browse "http://scorreia.com/research/singletons.pdf":singleton observations})
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}     5,019
{txt}Absorbing 5 HDFE groups{col 51}F({res}   3{txt},{res}    143{txt}){col 67}= {res}      2.21
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.0891
{txt}{col 51}R-squared{col 67}= {res}    0.0299
{txt}{col 51}Adj R-squared{col 67}= {res}   -0.0012
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0006
{txt}{col 1}Number of clusters ({res}birthyr#alsace{txt}) {col 30}= {res}       144{txt}{col 51}Root MSE{col 67}= {res}    0.1013

{txt}{ralign 91:(Std. err. adjusted for {res:144} clusters in birthyr#alsace)}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                  prox_12{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}alsace {c |}{col 27}{res}{space 2}-.0025057{col 39}{space 2} .0053189{col 50}{space 1}   -0.47{col 59}{space 3}0.638{col 67}{space 4}-.0130195{col 80}{space 3} .0080082
{txt}{space 25} {c |}
c.p_g1_1908_1913#c.alsace {c |}{col 27}{res}{space 2}-.0074134{col 39}{space 2} .0239511{col 50}{space 1}   -0.31{col 59}{space 3}0.757{col 67}{space 4}-.0547572{col 80}{space 3} .0399305
{txt}{space 25} {c |}
c.p_g2_1908_1913#c.alsace {c |}{col 27}{res}{space 2}  .024388{col 39}{space 2} .0148233{col 50}{space 1}    1.65{col 59}{space 3}0.102{col 67}{space 4}-.0049131{col 80}{space 3}  .053689
{txt}{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2} .0090839{col 39}{space 2} .0020645{col 50}{space 1}    4.40{col 59}{space 3}0.000{col 67}{space 4} .0050031{col 80}{space 3} .0131647
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 17}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}     Absorbed FE{col 18}{c |} Categories{col 31} - Redundant{col 43}  = Num. Coefs{col 58}{c |}
{res}{col 1}{text}{hline 17}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}    birthyr#sexe{col 18}{c |}{space 1}      145{col 31}{space 1}        0{col 43}{result}{space 1}      145{col 57}{text} {col 58}{c |}
{res}{col 1}{text} nationalite_pop{col 18}{c |}{space 1}        1{col 31}{space 1}        1{col 43}{result}{space 1}        0{col 57}{text} {col 58}{c |}
{res}{col 1}{text}        religion{col 18}{c |}{space 1}        6{col 31}{space 1}        1{col 43}{result}{space 1}        5{col 57}{text}?{col 58}{c |}
{res}{col 1}{text}      anciennete{col 18}{c |}{space 1}        1{col 31}{space 1}        1{col 43}{result}{space 1}        0{col 57}{text}?{col 58}{c |}
{res}{col 1}{text}           annee{col 18}{c |}{space 1}        5{col 31}{space 1}        1{col 43}{result}{space 1}        4{col 57}{text}?{col 58}{c |}
{res}{col 1}{text}{hline 17}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
             e(mean_y) =  {res}.01036063
{txt}(dropped 4 {browse "http://scorreia.com/research/singletons.pdf":singleton observations})
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}     6,003
{txt}Absorbing 5 HDFE groups{col 51}F({res}   3{txt},{res}    144{txt}){col 67}= {res}      1.17
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.3233
{txt}{col 51}R-squared{col 67}= {res}    0.0383
{txt}{col 51}Adj R-squared{col 67}= {res}    0.0119
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0003
{txt}{col 1}Number of clusters ({res}birthyr#alsace{txt}) {col 30}= {res}       145{txt}{col 51}Root MSE{col 67}= {res}    0.1718

{txt}{ralign 91:(Std. err. adjusted for {res:145} clusters in birthyr#alsace)}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                  prox_32{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}alsace {c |}{col 27}{res}{space 2}-.0149399{col 39}{space 2} .0104037{col 50}{space 1}   -1.44{col 59}{space 3}0.153{col 67}{space 4}-.0355036{col 80}{space 3} .0056238
{txt}{space 25} {c |}
c.p_g1_1908_1913#c.alsace {c |}{col 27}{res}{space 2} .0743004{col 39}{space 2} .0404926{col 50}{space 1}    1.83{col 59}{space 3}0.069{col 67}{space 4}-.0057363{col 80}{space 3} .1543371
{txt}{space 25} {c |}
c.p_g2_1908_1913#c.alsace {c |}{col 27}{res}{space 2}  .043632{col 39}{space 2} .0313069{col 50}{space 1}    1.39{col 59}{space 3}0.166{col 67}{space 4}-.0182485{col 80}{space 3} .1055125
{txt}{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2} .0305998{col 39}{space 2} .0033222{col 50}{space 1}    9.21{col 59}{space 3}0.000{col 67}{space 4} .0240333{col 80}{space 3} .0371663
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 17}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}     Absorbed FE{col 18}{c |} Categories{col 31} - Redundant{col 43}  = Num. Coefs{col 58}{c |}
{res}{col 1}{text}{hline 17}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}    birthyr#sexe{col 18}{c |}{space 1}      146{col 31}{space 1}        0{col 43}{result}{space 1}      146{col 57}{text} {col 58}{c |}
{res}{col 1}{text} nationalite_pop{col 18}{c |}{space 1}        1{col 31}{space 1}        1{col 43}{result}{space 1}        0{col 57}{text} {col 58}{c |}
{res}{col 1}{text}        religion{col 18}{c |}{space 1}        6{col 31}{space 1}        1{col 43}{result}{space 1}        5{col 57}{text}?{col 58}{c |}
{res}{col 1}{text}      anciennete{col 18}{c |}{space 1}        4{col 31}{space 1}        1{col 43}{result}{space 1}        3{col 57}{text}?{col 58}{c |}
{res}{col 1}{text}           annee{col 18}{c |}{space 1}        6{col 31}{space 1}        2{col 43}{result}{space 1}        4{col 57}{text}?{col 58}{c |}
{res}{col 1}{text}{hline 17}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
             e(mean_y) =  {res}.03081792
{txt}(dropped 4 {browse "http://scorreia.com/research/singletons.pdf":singleton observations})
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}HDFE Linear regression{col 51}Number of obs{col 67}= {res}     6,003
{txt}Absorbing 5 HDFE groups{col 51}F({res}   3{txt},{res}    144{txt}){col 67}= {res}      1.48
{txt}Statistics robust to heteroskedasticity{col 51}Prob > F{col 67}= {res}    0.2226
{txt}{col 51}R-squared{col 67}= {res}    0.0369
{txt}{col 51}Adj R-squared{col 67}= {res}    0.0106
{txt}{col 51}Within R-sq.{col 67}= {res}    0.0004
{txt}{col 1}Number of clusters ({res}birthyr#alsace{txt}) {col 30}= {res}       145{txt}{col 51}Root MSE{col 67}= {res}    0.1937

{txt}{ralign 91:(Std. err. adjusted for {res:145} clusters in birthyr#alsace)}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                  prox_33{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}alsace {c |}{col 27}{res}{space 2} -.017096{col 39}{space 2} .0113566{col 50}{space 1}   -1.51{col 59}{space 3}0.134{col 67}{space 4}-.0395431{col 80}{space 3} .0053511
{txt}{space 25} {c |}
c.p_g1_1908_1913#c.alsace {c |}{col 27}{res}{space 2} .0689912{col 39}{space 2} .0449632{col 50}{space 1}    1.53{col 59}{space 3}0.127{col 67}{space 4}-.0198819{col 80}{space 3} .1578642
{txt}{space 25} {c |}
c.p_g2_1908_1913#c.alsace {c |}{col 27}{res}{space 2} .0638516{col 39}{space 2} .0326451{col 50}{space 1}    1.96{col 59}{space 3}0.052{col 67}{space 4}-.0006738{col 80}{space 3}  .128377
{txt}{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2} .0382406{col 39}{space 2} .0037514{col 50}{space 1}   10.19{col 59}{space 3}0.000{col 67}{space 4} .0308257{col 80}{space 3} .0456555
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 17}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text}     Absorbed FE{col 18}{c |} Categories{col 31} - Redundant{col 43}  = Num. Coefs{col 58}{c |}
{res}{col 1}{text}{hline 17}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}    birthyr#sexe{col 18}{c |}{space 1}      146{col 31}{space 1}        0{col 43}{result}{space 1}      146{col 57}{text} {col 58}{c |}
{res}{col 1}{text} nationalite_pop{col 18}{c |}{space 1}        1{col 31}{space 1}        1{col 43}{result}{space 1}        0{col 57}{text} {col 58}{c |}
{res}{col 1}{text}        religion{col 18}{c |}{space 1}        6{col 31}{space 1}        1{col 43}{result}{space 1}        5{col 57}{text}?{col 58}{c |}
{res}{col 1}{text}      anciennete{col 18}{c |}{space 1}        4{col 31}{space 1}        1{col 43}{result}{space 1}        3{col 57}{text}?{col 58}{c |}
{res}{col 1}{text}           annee{col 18}{c |}{space 1}        6{col 31}{space 1}        2{col 43}{result}{space 1}        4{col 57}{text}?{col 58}{c |}
{res}{col 1}{text}{hline 17}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
             e(mean_y) =  {res}.03948026
{txt}
{com}. 
. 
. ******************************
. ***** 3. TABLE FOR PAPER *****
. ******************************
. 
. // Fixed effects
. 
. estfe . G0*, labels(nationalite_pop "Individual controls" annee "Survey year FE" birthyr#sexe "YoB $ \times $ gender FE")
{res}{txt}
{com}. return list

{txt}macros:
        r(indicate_fe) : "{res} "Individual controls=0.nationalite_pop"  "Survey year FE=0.annee"  "YoB $ \times $ gender FE=0.birthyr#0.sexe"  "religion=0.r{txt}.."

{com}. 
. // Labels
. 
. la var born_1908_1913 "Born 1908-1913" 
{txt}
{com}. la var alsace "Alsace"
{txt}
{com}. 
. // Trust
. 
. estout G0confiance11 G0proximiteFN G0prox_9 G0prox_12 G0prox_32 G0prox_33 ///
>         using "$results\\$program.tex", replace style(tex) type label ///
>         cells(b(star fmt(%9.3f)) se(par fmt(%9.3f)))  ///
>         collabels(none) ///
>         mlabels(, span none prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) ///
>         msign(--) starlevels(* .1 ** .05 *** .01) ///
>         keep(alsace c.born_1908_1913#c.alsace c.born_1908_1913_fem#c.alsace c.p_g1_1908_1913#c.alsace c.p_g2_1908_1913#c.alsace) ///
>         order(alsace c.born_1908_1913#c.alsace c.born_1908_1913_fem#c.alsace c.p_g1_1908_1913#c.alsace c.p_g2_1908_1913#c.alsace) ///
>         varlabels(c.born_1908_1913_fem#c.alsace "[0.3em] Born 1908-1913 (Woman) $ \times $ Alsace" c.p_g1_1908_1913#c.alsace "[0.3em] Born 1908-1913 (Father) $ \times $ Alsace" c.p_g2_1908_1913#c.alsace "[0.3em] Born 1908-1913 (Grand-father) $ \times $ Alsace") ///
>         title(Party proximity and trust in institutions: Intergenerational transmission) ///
>         prehead("\begin{c -(}table{c )-}[h!]" ///
>         "\begin{c -(}center{c )-}" ///
>         "\begin{c -(}threeparttable{c )-}" ///
>         "\begin{c -(}scriptsize{c )-}" ///
>         "\caption{c -(}@title{c )-}\label{c -(}$program{c )-}" ///
>         "\begin{c -(}tabular*{c )-}{c -(}\columnwidth{c )-}{c -(}@{c -(}\extracolsep{c -(}\stretch{c -(}1{c )-}{c )-}{c )-}l*{c -(}@M{c )-}{c -(}c{c )-}@{c -(}{c )-}{c )-}" ///
>         "\hline" "\hline" ///
>         "               &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(1){c )-}                &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(2){c )-}                &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(3){c )-}        &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(4){c )-}        &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(5){c )-}        &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(6){c )-} \\" ///        
>         "\cmidrule(lr){c -(}2-7{c )-}" ///
>         "& Trust & \multicolumn{c -(}5{c )-}{c -(}c{c )-}{c -(}\textit{c -(}Which party do you feel closer to, or less distant from{c )-}{c )-}\\" ///
>         "\cmidrule(lr){c -(}2-2{c )-} \cmidrule(lr){c -(}3-7{c )-}" ///
>         "\multicolumn{c -(}1{c )-}{c -(}l{c )-}{c -(}\textit{c -(}Dep. Variable{c )-}{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Elected{c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\textit{c -(}Radical right{c )-}{c )-}     &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\textit{c -(}National{c )-}{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\textit{c -(}National Rep{c )-}{c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\textit{c -(}Rally/Movement{c )-}{c )-}   &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\textit{c -(}Other{c )-}{c )-}     \\" ///  
>         "&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}politicians{c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\textit{c -(}(any){c )-}{c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\textit{c -(}Front{c )-}{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\textit{c -(}Movement{c )-}{c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\textit{c -(}for France{c )-}{c )-}        &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\textit{c -(}radical right{c )-}{c )-}     \\" ///  
>         "\hline") ///Vote Share of 
>         posthead("\\") ///
>         prefoot("\\") ///
>         postfoot("")
{res}
\begin{c -(}table{c )-}[h!]
\begin{c -(}center{c )-}
\begin{c -(}threeparttable{c )-}
\begin{c -(}scriptsize{c )-}
\caption{c -(}Party proximity and trust in institutions: Intergenerational transmission{c )-}\label{c -(}EEREV-D-21-00004_TableC17{c )-}
\begin{c -(}tabular*{c )-}{c -(}\columnwidth{c )-}{c -(}@{c -(}\extracolsep{c -(}\stretch{c -(}1{c )-}{c )-}{c )-}l*{c -(}6{c )-}{c -(}c{c )-}@{c -(}{c )-}{c )-}
\hline
\hline
               &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(1){c )-}                &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(2){c )-}                &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(3){c )-}        &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(4){c )-}        &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(5){c )-}        &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(6){c )-} \\
\cmidrule(lr){c -(}2-7{c )-}
& Trust & \multicolumn{c -(}5{c )-}{c -(}c{c )-}{c -(}\textit{c -(}Which party do you feel closer to, or less distant from{c )-}{c )-}\\
\cmidrule(lr){c -(}2-2{c )-} \cmidrule(lr){c -(}3-7{c )-}
\multicolumn{c -(}1{c )-}{c -(}l{c )-}{c -(}\textit{c -(}Dep. Variable{c )-}{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Elected{c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\textit{c -(}Radical right{c )-}{c )-}     &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\textit{c -(}National{c )-}{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\textit{c -(}National Rep{c )-}{c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\textit{c -(}Rally/Movement{c )-}{c )-}   &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\textit{c -(}Other{c )-}{c )-}     \\
&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}politicians{c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\textit{c -(}(any){c )-}{c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\textit{c -(}Front{c )-}{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\textit{c -(}Movement{c )-}{c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\textit{c -(}for France{c )-}{c )-}        &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\textit{c -(}radical right{c )-}{c )-}     \\
\hline
\\
Alsace              &       0.064*  &       0.001   &       0.006   &     --0.003   &     --0.015   &     --0.017   \\
                    &     (0.035)   &     (0.005)   &     (0.005)   &     (0.005)   &     (0.010)   &     (0.011)   \\
Born 1908-1913 $\times$ Alsace&     --0.536***&       0.036***&       0.033***&               &               &               \\
                    &     (0.053)   &     (0.010)   &     (0.010)   &               &               &               \\
[0.3em] Born 1908-1913 (Woman) $ \times $ Alsace&       0.120   &     --0.001   &     --0.004   &               &               &               \\
                    &     (0.187)   &     (0.006)   &     (0.006)   &               &               &               \\
[0.3em] Born 1908-1913 (Father) $ \times $ Alsace&     --0.600***&     --0.007   &     --0.026   &     --0.007   &       0.074*  &       0.069   \\
                    &     (0.145)   &     (0.034)   &     (0.031)   &     (0.024)   &     (0.040)   &     (0.045)   \\
[0.3em] Born 1908-1913 (Grand-father) $ \times $ Alsace&     --0.218   &     --0.022   &     --0.040** &       0.024   &       0.044   &       0.064*  \\
                    &     (0.157)   &     (0.019)   &     (0.016)   &     (0.015)   &     (0.031)   &     (0.033)   \\
\\

{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableC17.tex"'})

{com}. 
. estout G0confiance11 G0proximiteFN G0prox_9 G0prox_12 G0prox_32 G0prox_33 ///
>         using "$results\\$program.tex", append style(tex) type label ///
>         cells(b(star fmt(%9.3f)) se(par fmt(%9.3f)))  ///
>         stats(mean_y N N_clust r2, lab("Mean dep. variable" "Observations" "Clusters" "$ R $-squared") fmt(3 %9.0fc %9.0fc 2)) ///
>         collabels(none) ///
>         mlabels(, span none prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) ///
>         msign(--) starlevels(* .1 ** .05 *** .01) ///
>         drop(*) /// 
>         indicate( ///
>         "Individual controls = 0.nationalite_pop" ///   
>         "Survey year FE = 0.annee" ///
>         "Year-of-birth FE = 0.birthyr#0.sexe" ///
>         , labels(Yes )) ///
>         prehead("") ///
>         posthead("") ///
>         prefoot("\hline") ///
>         postfoot("\hline" "\hline" ///
>         "\end{c -(}tabular*{c )-}" /// 
>         "\end{c -(}scriptsize{c )-}" ///
>         "\begin{c -(}tablenotes{c )-}[normal,flushleft]" ///
>         "\begin{c -(}scriptsize{c )-}" ///
>         "\item \emph{c -(}Notes{c )-}:" /// 
>         "Reduced-form estimates of the potential mechanism. " ///
>         "The unit of observation is an individual. " ///
>         "Standard errors clustered at year-of-birth $ \times $ region level in parentheses. " ///
>         "Each column presents a different estimation result. " ///
>         "Column (1): Intergenerational transmission of attitudes; " ///
>         "Column (2): proximity to radical right-wing parties; " ///
>         "Column (3): proximity to the National Front; " ///
>         "Column (4): proximity to the National Republican Movement; " ///
>         "Column (5): proximity to the Rally for France and the Movement for France; " ///
>         "Column (6): proximity to the National Republican Movement, the Rally for France, and the Movement for France. " ///
>         "Year-of-birth $ \times $ gender fixed effects are included in all specifications. " ///
>         "* significant at 10\%; ** at 5\%; *** at 1\%. " ///    
>         "\end{c -(}scriptsize{c )-}" ///
>         "\end{c -(}tablenotes{c )-}" ///
>         "\end{c -(}threeparttable{c )-} " ///
>         "\end{c -(}center{c )-}" ///
>         "\end{c -(}table{c )-}")
{res}


Individual controls &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   \\
Survey year FE      &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   \\
Year-of-birth FE    &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   \\
\hline
Mean dep. variable  &       0.535   &       0.057   &       0.044   &       0.010   &       0.031   &       0.039   \\
Observations        &       1,935   &      17,667   &      17,667   &       5,019   &       6,003   &       6,003   \\
Clusters            &         133   &         156   &         156   &         144   &         145   &         145   \\
$ R $-squared       &        0.09   &        0.02   &        0.02   &        0.03   &        0.04   &        0.04   \\
\hline
\hline
\end{c -(}tabular*{c )-}
\end{c -(}scriptsize{c )-}
\begin{c -(}tablenotes{c )-}[normal,flushleft]
\begin{c -(}scriptsize{c )-}
\item \emph{c -(}Notes{c )-}:
Reduced-form estimates of the potential mechanism. 
The unit of observation is an individual. 
Standard errors clustered at year-of-birth $ \times $ region level in parentheses. 
Each column presents a different estimation result. 
Column (1): Intergenerational transmission of attitudes; 
Column (2): proximity to radical right-wing parties; 
Column (3): proximity to the National Front; 
Column (4): proximity to the National Republican Movement; 
Column (5): proximity to the Rally for France and the Movement for France; 
Column (6): proximity to the National Republican Movement, the Rally for France, and the Movement for France. 
Year-of-birth $ \times $ gender fixed effects are included in all specifications. 
* significant at 10\%; ** at 5\%; *** at 1\%. 
\end{c -(}scriptsize{c )-}
\end{c -(}tablenotes{c )-}
\end{c -(}threeparttable{c )-} 
\end{c -(}center{c )-}
\end{c -(}table{c )-}
{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableC17.tex"'})

{com}. 
. cap log close
{smcl}
{com}{sf}{ul off}