{smcl}
{com}{sf}{ul off}{txt}
{com}. 
. **** REPLICATION OF TABLE A1 ****
. 
. 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. REGRESSIONS LINEAR
>         2. REGRESSIONS CUBIC
>         3. TABLE FOR PAPER
> */
. 
. *********************************
. ***** 1. REGRESSIONS LINEAR *****
. *********************************
. 
. // Import data
. 
. use $data\EEREV-D-21-00004_Data_Municipalities.dta, clear
{txt}
{com}. 
. // Macros
. 
. global geogr_endow                      "water lelevation_mean lelevation_std ldist_de" 
{txt}
{com}. global pop                                      "perc_b_1928_1945 perc_b_1946_1964 perc_b_1965_1980 perc_b_1981_1996 perc_male_counter"
{txt}
{com}. global demog_chara                      "lpop_counter perc_fore $pop"
{txt}
{com}. global socec_aspec                      "perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd"
{txt}
{com}. 
. // Control vectors
. 
. global sigma                            "perc_prot_church pop_jew p_french_name lpop_1936 perc_fore_1936 perc_dial_1936 perc_disp_1946 $geogr_endow perc_droi_1936_ins"
{txt}
{com}. global w                                        "$demog_chara $socec_aspec"
{txt}
{com}. global dialect                          "dialect_lux dialect_mos dialect_rhe dialect_pal dialect_als dialect_hau dialect_lor dialect_fra"
{txt}
{com}. 
. // Polynomial
. 
. global rdd2 "rdd_lat rdd_lon"
{txt}
{com}. 
. // 1965-1969 FOR TABLE
. 
. foreach year in 1969{c -(}
{txt}  2{com}. 
.         reg perc_voixexd_ins perc_e_1908_1927 if annee==`year' & sample==1, cluster(ct_1936_enc)
{txt}  3{com}.         estimates store P`year'T1_VOTE, title(`year'R1)
{txt}  4{com}.         qui sum perc_voixexd_ins if e(sample)
{txt}  5{com}.         scalar mean_y=r(mean)
{txt}  6{com}.         estadd scalar mean_y
{txt}  7{com}.         
. {c )-}

{txt}Linear regression                               Number of obs     = {res}       462
                                                {txt}{help j_robustsingular:F(0, 31) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}         .
                                                {txt}Root MSE          =    {res}      0

{txt}{ralign 82:(Std. err. adjusted for {res:32} clusters in ct_1936_enc)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}perc_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (omitted)
{space 11}_cons {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (omitted)
{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}added scalar:
             e(mean_y) =  {res}0
{txt}
{com}. 
. // Radical-Right
. 
. foreach year in 1965 1974 1995 2002 2007 2012 2017{c -(}
{txt}  2{com}.         
.         ivreghdfe perc_voixexd_ins (perc_i_full = perc_e_1908_1927) ///
>                 perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 perc_disp_1946 /// 
>                 $sigma $w $rdd2 /// 
>                 if annee==`year' & sample==1, cluster(ct_1936_enc) ///
>                 a(borderfe $dialect) partial($sigma $w)
{txt}  3{com}.                 
.         estimates store P`year'T1_VOTE
{txt}  4{com}.         scalar f = e(rkf)
{txt}  5{com}.         estadd scalar F_fs=f
{txt}  6{com}.         qui sum perc_voixexd_ins if e(sample)
{txt}  7{com}.         scalar mean_y=r(mean)
{txt}  8{com}.         estadd scalar mean_y
{txt}  9{com}.         
. {c )-}
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  6,    31) = {res}    1.36
{txt}{col 55}Prob > F      = {res}  0.2629
{txt}Total (centered) SS     = {res} 617.1098426{txt}{col 55}Centered R2   = {res} -0.0241
{txt}Total (uncentered) SS   = {res} 617.1098426{txt}{col 55}Uncentered R2 = {res} -0.0241
{txt}Residual SS             = {res} 632.0011168{txt}{col 55}Root MSE      = {res}   1.225

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}perc_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2}-.0535244{col 30}{space 2}  .118633{col 41}{space 1}   -0.45{col 50}{space 3}0.655{col 58}{space 4}-.2954779{col 71}{space 3} .1884292
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0221047{col 30}{space 2} .0211369{col 41}{space 1}    1.05{col 50}{space 3}0.304{col 58}{space 4}-.0210043{col 71}{space 3} .0652136
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0410079{col 30}{space 2} .0230597{col 41}{space 1}    1.78{col 50}{space 3}0.085{col 58}{space 4}-.0060226{col 71}{space 3} .0880385
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0815802{col 30}{space 2} .0336636{col 41}{space 1}   -2.42{col 50}{space 3}0.021{col 58}{space 4}-.1502376{col 71}{space 3}-.0129229
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-.8045091{col 30}{space 2} 1.730905{col 41}{space 1}   -0.46{col 50}{space 3}0.645{col 58}{space 4}-4.334713{col 71}{space 3} 2.725694
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} .4982041{col 30}{space 2} 1.040841{col 41}{space 1}    0.48{col 50}{space 3}0.636{col 58}{space 4}-1.624606{col 71}{space 3} 2.621014
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.295
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0040
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  14.679
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  27.998
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter perc_bacplus
{col 23}perc_bluecollar perc_chom lrev_median lrev_sd _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}27.998126

{txt}added scalar:
             e(mean_y) =  {res}1.2057242
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  6,    31) = {res}    1.37
{txt}{col 55}Prob > F      = {res}  0.2564
{txt}Total (centered) SS     = {res} 73.62421611{txt}{col 55}Centered R2   = {res}  0.0032
{txt}Total (uncentered) SS   = {res} 73.62421611{txt}{col 55}Uncentered R2 = {res}  0.0032
{txt}Residual SS             = {res} 73.39129879{txt}{col 55}Root MSE      = {res}   .4175

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}perc_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .0101756{col 30}{space 2} .0175144{col 41}{space 1}    0.58{col 50}{space 3}0.565{col 58}{space 4}-.0255453{col 71}{space 3} .0458965
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0060324{col 30}{space 2} .0055715{col 41}{space 1}    1.08{col 50}{space 3}0.287{col 58}{space 4}-.0053307{col 71}{space 3} .0173956
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0102444{col 30}{space 2} .0098182{col 41}{space 1}   -1.04{col 50}{space 3}0.305{col 58}{space 4}-.0302688{col 71}{space 3} .0097799
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0102436{col 30}{space 2} .0089924{col 41}{space 1}   -1.14{col 50}{space 3}0.263{col 58}{space 4}-.0285836{col 71}{space 3} .0080965
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-.6399562{col 30}{space 2} .4225659{col 41}{space 1}   -1.51{col 50}{space 3}0.140{col 58}{space 4}-1.501785{col 71}{space 3} .2218727
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-.0884412{col 30}{space 2} .2590787{col 41}{space 1}   -0.34{col 50}{space 3}0.735{col 58}{space 4}-.6168356{col 71}{space 3} .4399533
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.490
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0036
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  17.097
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  31.876
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter perc_bacplus
{col 23}perc_bluecollar perc_chom lrev_median lrev_sd _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}31.875809

{txt}added scalar:
             e(mean_y) =  {res}.3129585
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  6,    31) = {res}    3.42
{txt}{col 55}Prob > F      = {res}  0.0104
{txt}Total (centered) SS     = {res} 8862.597983{txt}{col 55}Centered R2   = {res} -0.3406
{txt}Total (uncentered) SS   = {res} 8862.597983{txt}{col 55}Uncentered R2 = {res} -0.3406
{txt}Residual SS             = {res} 11881.62415{txt}{col 55}Root MSE      = {res}   5.319

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}perc_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .9517124{col 30}{space 2}  .375515{col 41}{space 1}    2.53{col 50}{space 3}0.017{col 58}{space 4} .1858446{col 71}{space 3}  1.71758
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0410853{col 30}{space 2} .0878654{col 41}{space 1}    0.47{col 50}{space 3}0.643{col 58}{space 4}-.1381173{col 71}{space 3} .2202879
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0839216{col 30}{space 2} .1865944{col 41}{space 1}   -0.45{col 50}{space 3}0.656{col 58}{space 4}-.4644835{col 71}{space 3} .2966402
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0221404{col 30}{space 2} .1410921{col 41}{space 1}   -0.16{col 50}{space 3}0.876{col 58}{space 4}-.3098996{col 71}{space 3} .2656188
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} -1.33581{col 30}{space 2} 7.050266{col 41}{space 1}   -0.19{col 50}{space 3}0.851{col 58}{space 4}-15.71492{col 71}{space 3}  13.0433
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-18.14663{col 30}{space 2} 4.480011{col 41}{space 1}   -4.05{col 50}{space 3}0.000{col 58}{space 4}-27.28368{col 71}{space 3}-9.009593
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.692
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0032
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  16.461
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  32.795
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}32.794834

{txt}added scalar:
             e(mean_y) =  {res}22.177668
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  6,    31) = {res}    2.33
{txt}{col 55}Prob > F      = {res}  0.0571
{txt}Total (centered) SS     = {res} 7921.764391{txt}{col 55}Centered R2   = {res} -0.1567
{txt}Total (uncentered) SS   = {res} 7921.764391{txt}{col 55}Uncentered R2 = {res} -0.1567
{txt}Residual SS             = {res} 9163.103581{txt}{col 55}Root MSE      = {res}   4.671

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}perc_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .6005248{col 30}{space 2} .2848045{col 41}{space 1}    2.11{col 50}{space 3}0.043{col 58}{space 4} .0196622{col 71}{space 3} 1.181387
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0224504{col 30}{space 2} .0813852{col 41}{space 1}    0.28{col 50}{space 3}0.784{col 58}{space 4}-.1435359{col 71}{space 3} .1884367
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0623067{col 30}{space 2} .1338333{col 41}{space 1}    0.47{col 50}{space 3}0.645{col 58}{space 4}-.2106482{col 71}{space 3} .3352615
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0831656{col 30}{space 2}  .107933{col 41}{space 1}   -0.77{col 50}{space 3}0.447{col 58}{space 4}-.3032964{col 71}{space 3} .1369651
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-6.420433{col 30}{space 2}  6.26281{col 41}{space 1}   -1.03{col 50}{space 3}0.313{col 58}{space 4}-19.19352{col 71}{space 3} 6.352651
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-9.569264{col 30}{space 2} 3.723815{col 41}{space 1}   -2.57{col 50}{space 3}0.015{col 58}{space 4}-17.16404{col 71}{space 3}-1.974492
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.844
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0029
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  16.166
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  29.829
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}29.828598

{txt}added scalar:
             e(mean_y) =  {res}22.249573
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  6,    31) = {res}    1.75
{txt}{col 55}Prob > F      = {res}  0.1414
{txt}Total (centered) SS     = {res} 5514.142028{txt}{col 55}Centered R2   = {res} -0.0409
{txt}Total (uncentered) SS   = {res} 5514.142028{txt}{col 55}Uncentered R2 = {res} -0.0409
{txt}Residual SS             = {res} 5739.515611{txt}{col 55}Root MSE      = {res}   3.697

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}perc_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2}-.1115631{col 30}{space 2} .1833305{col 41}{space 1}   -0.61{col 50}{space 3}0.547{col 58}{space 4}-.4854682{col 71}{space 3}  .262342
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0505401{col 30}{space 2} .0624888{col 41}{space 1}    0.81{col 50}{space 3}0.425{col 58}{space 4}-.0769068{col 71}{space 3} .1779869
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0049728{col 30}{space 2} .1028551{col 41}{space 1}    0.05{col 50}{space 3}0.962{col 58}{space 4}-.2048016{col 71}{space 3} .2147473
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0223065{col 30}{space 2} .0652308{col 41}{space 1}   -0.34{col 50}{space 3}0.735{col 58}{space 4}-.1553455{col 71}{space 3} .1107326
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 4.209368{col 30}{space 2} 3.389363{col 41}{space 1}    1.24{col 50}{space 3}0.224{col 58}{space 4}-2.703282{col 71}{space 3} 11.12202
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-4.801039{col 30}{space 2} 2.648637{col 41}{space 1}   -1.81{col 50}{space 3}0.080{col 58}{space 4}-10.20297{col 71}{space 3} .6008914
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   9.634
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0019
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  19.361
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  47.716
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}47.715875

{txt}added scalar:
             e(mean_y) =  {res}14.88564
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  6,    31) = {res}    1.05
{txt}{col 55}Prob > F      = {res}  0.4156
{txt}Total (centered) SS     = {res} 7587.892197{txt}{col 55}Centered R2   = {res}  0.0128
{txt}Total (uncentered) SS   = {res} 7587.892197{txt}{col 55}Uncentered R2 = {res}  0.0128
{txt}Residual SS             = {res} 7490.470031{txt}{col 55}Root MSE      = {res}   4.223

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}perc_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2}-.0010147{col 30}{space 2} .2982382{col 41}{space 1}   -0.00{col 50}{space 3}0.997{col 58}{space 4}-.6092755{col 71}{space 3} .6072461
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0379054{col 30}{space 2} .0502575{col 41}{space 1}    0.75{col 50}{space 3}0.456{col 58}{space 4}-.0645954{col 71}{space 3} .1404062
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0100559{col 30}{space 2} .1511771{col 41}{space 1}    0.07{col 50}{space 3}0.947{col 58}{space 4}-.2982719{col 71}{space 3} .3183836
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0955176{col 30}{space 2} .0968556{col 41}{space 1}    0.99{col 50}{space 3}0.332{col 58}{space 4}-.1020207{col 71}{space 3} .2930558
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 6.329751{col 30}{space 2} 4.833482{col 41}{space 1}    1.31{col 50}{space 3}0.200{col 58}{space 4}-3.528202{col 71}{space 3}  16.1877
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-3.490413{col 30}{space 2} 3.057166{col 41}{space 1}   -1.14{col 50}{space 3}0.262{col 58}{space 4}-9.725544{col 71}{space 3} 2.744718
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  10.393
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0013
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  17.164
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  38.112
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}38.112253

{txt}added scalar:
             e(mean_y) =  {res}23.237011
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  6,    31) = {res}    3.60
{txt}{col 55}Prob > F      = {res}  0.0080
{txt}Total (centered) SS     = {res} 9083.430189{txt}{col 55}Centered R2   = {res}  0.0394
{txt}Total (uncentered) SS   = {res} 9083.430189{txt}{col 55}Uncentered R2 = {res}  0.0394
{txt}Residual SS             = {res} 8725.855646{txt}{col 55}Root MSE      = {res}   4.558

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}perc_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2}-.0141368{col 30}{space 2} .3116353{col 41}{space 1}   -0.05{col 50}{space 3}0.964{col 58}{space 4}-.6497213{col 71}{space 3} .6214476
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .1173452{col 30}{space 2} .0595898{col 41}{space 1}    1.97{col 50}{space 3}0.058{col 58}{space 4} -.004189{col 71}{space 3} .2388794
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0177087{col 30}{space 2}  .094936{col 41}{space 1}   -0.19{col 50}{space 3}0.853{col 58}{space 4} -.211332{col 71}{space 3} .1759146
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .1365163{col 30}{space 2} .0980451{col 41}{space 1}    1.39{col 50}{space 3}0.174{col 58}{space 4}-.0634479{col 71}{space 3} .3364805
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 15.97375{col 30}{space 2} 5.130832{col 41}{space 1}    3.11{col 50}{space 3}0.004{col 58}{space 4} 5.509351{col 71}{space 3} 26.43815
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-3.404559{col 30}{space 2} 3.476719{col 41}{space 1}   -0.98{col 50}{space 3}0.335{col 58}{space 4}-10.49538{col 71}{space 3} 3.686257
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   9.749
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0018
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  16.686
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  35.615
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}35.614563

{txt}added scalar:
             e(mean_y) =  {res}27.274936
{txt}
{com}. 
. // Abstention
. 
. foreach year in 1965 1969 1974 1995 2002 2007 2012 2017{c -(}
{txt}  2{com}.         
.         tab annee if annee==`year'
{txt}  3{com}.         
.         ivreghdfe perc_bna_ins (perc_i_full = perc_e_1908_1927) ///
>                 perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 perc_disp_1946 /// 
>                 $sigma $w $rdd2 /// 
>                 if annee==`year' & sample==1, cluster(ct_1936_enc) ///
>                 a(borderfe $dialect) partial($sigma $w)
{txt}  4{com}.                 
.         estimates store P`year'T1_ABST, title(`year'R1)
{txt}  5{com}.         scalar f = e(rkf)
{txt}  6{com}.         estadd scalar F_fs=f
{txt}  7{com}.         qui sum perc_bna_ins if e(sample)
{txt}  8{com}.         scalar mean_y=r(mean)
{txt}  9{com}.         estadd scalar mean_y
{txt} 10{com}.         
. {c )-}

   {txt}Election {c |}
       year {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       1965 {c |}{res}      1,579      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,579      100.00
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  6,    31) = {res}    4.87
{txt}{col 55}Prob > F      = {res}  0.0013
{txt}Total (centered) SS     = {res} 11796.59426{txt}{col 55}Centered R2   = {res} -0.3102
{txt}Total (uncentered) SS   = {res} 11796.59426{txt}{col 55}Uncentered R2 = {res} -0.3102
{txt}Residual SS             = {res} 15456.43878{txt}{col 55}Root MSE      = {res}   6.059

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} 1.117436{col 30}{space 2} .3853966{col 41}{space 1}    2.90{col 50}{space 3}0.007{col 58}{space 4} .3314144{col 71}{space 3} 1.903458
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.1873737{col 30}{space 2} .0863747{col 41}{space 1}   -2.17{col 50}{space 3}0.038{col 58}{space 4}-.3635362{col 71}{space 3}-.0112113
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0569837{col 30}{space 2} .1871051{col 41}{space 1}    0.30{col 50}{space 3}0.763{col 58}{space 4}-.3246198{col 71}{space 3} .4385871
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}  -.49864{col 30}{space 2} .1460575{col 41}{space 1}   -3.41{col 50}{space 3}0.002{col 58}{space 4}-.7965262{col 71}{space 3}-.2007537
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} .3711357{col 30}{space 2} 7.614624{col 41}{space 1}    0.05{col 50}{space 3}0.961{col 58}{space 4}-15.15899{col 71}{space 3} 15.90126
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-9.651286{col 30}{space 2} 4.537496{col 41}{space 1}   -2.13{col 50}{space 3}0.041{col 58}{space 4}-18.90557{col 71}{space 3}-.3970006
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.295
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0040
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  14.679
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  27.998
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter perc_bacplus
{col 23}perc_bluecollar perc_chom lrev_median lrev_sd _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}27.998126

{txt}added scalar:
             e(mean_y) =  {res}15.28727

   {txt}Election {c |}
       year {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       1969 {c |}{res}      1,579      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,579      100.00
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  6,    31) = {res}    3.12
{txt}{col 55}Prob > F      = {res}  0.0164
{txt}Total (centered) SS     = {res} 18676.55415{txt}{col 55}Centered R2   = {res} -0.4320
{txt}Total (uncentered) SS   = {res} 18676.55415{txt}{col 55}Uncentered R2 = {res} -0.4320
{txt}Residual SS             = {res} 26745.17822{txt}{col 55}Root MSE      = {res}    7.97

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} 1.487899{col 30}{space 2} .5641515{col 41}{space 1}    2.64{col 50}{space 3}0.013{col 58}{space 4} .3373041{col 71}{space 3} 2.638493
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.1309468{col 30}{space 2} .1245954{col 41}{space 1}   -1.05{col 50}{space 3}0.301{col 58}{space 4}-.3850608{col 71}{space 3} .1231672
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0305743{col 30}{space 2} .2169729{col 41}{space 1}    0.14{col 50}{space 3}0.889{col 58}{space 4}-.4119449{col 71}{space 3} .4730934
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.5182961{col 30}{space 2} .1830828{col 41}{space 1}   -2.83{col 50}{space 3}0.008{col 58}{space 4}-.8916959{col 71}{space 3}-.1448964
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 9.631028{col 30}{space 2} 7.823812{col 41}{space 1}    1.23{col 50}{space 3}0.228{col 58}{space 4}-6.325742{col 71}{space 3}  25.5878
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-18.28512{col 30}{space 2} 7.346085{col 41}{space 1}   -2.49{col 50}{space 3}0.018{col 58}{space 4}-33.26756{col 71}{space 3}-3.302685
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.425
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0037
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  16.277
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  31.167
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter perc_bacplus
{col 23}perc_bluecollar perc_chom lrev_median lrev_sd _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}31.167438

{txt}added scalar:
             e(mean_y) =  {res}23.6278

   {txt}Election {c |}
       year {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       1974 {c |}{res}      1,579      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,579      100.00
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  6,    31) = {res}    1.98
{txt}{col 55}Prob > F      = {res}  0.0988
{txt}Total (centered) SS     = {res} 8937.800927{txt}{col 55}Centered R2   = {res} -0.0933
{txt}Total (uncentered) SS   = {res} 8937.800927{txt}{col 55}Uncentered R2 = {res} -0.0933
{txt}Residual SS             = {res} 9771.318767{txt}{col 55}Root MSE      = {res}   4.818

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .6584731{col 30}{space 2} .3102078{col 41}{space 1}    2.12{col 50}{space 3}0.042{col 58}{space 4} .0258001{col 71}{space 3} 1.291146
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0332046{col 30}{space 2} .0883419{col 41}{space 1}   -0.38{col 50}{space 3}0.710{col 58}{space 4}-.2133791{col 71}{space 3}   .14697
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0773139{col 30}{space 2} .1423477{col 41}{space 1}   -0.54{col 50}{space 3}0.591{col 58}{space 4}-.3676338{col 71}{space 3} .2130061
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.1156319{col 30}{space 2} .1301748{col 41}{space 1}   -0.89{col 50}{space 3}0.381{col 58}{space 4}-.3811252{col 71}{space 3} .1498615
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 10.38888{col 30}{space 2} 4.638836{col 41}{space 1}    2.24{col 50}{space 3}0.032{col 58}{space 4} .9279085{col 71}{space 3} 19.84984
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-4.617695{col 30}{space 2} 3.429673{col 41}{space 1}   -1.35{col 50}{space 3}0.188{col 58}{space 4}-11.61256{col 71}{space 3} 2.377169
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.490
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0036
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  17.097
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  31.876
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter perc_bacplus
{col 23}perc_bluecollar perc_chom lrev_median lrev_sd _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}31.875809

{txt}added scalar:
             e(mean_y) =  {res}17.065947

   {txt}Election {c |}
       year {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       1995 {c |}{res}      1,579      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,579      100.00
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  6,    31) = {res}    0.66
{txt}{col 55}Prob > F      = {res}  0.6833
{txt}Total (centered) SS     = {res} 6008.066893{txt}{col 55}Centered R2   = {res} -0.0370
{txt}Total (uncentered) SS   = {res} 6008.066893{txt}{col 55}Uncentered R2 = {res} -0.0370
{txt}Residual SS             = {res} 6230.617808{txt}{col 55}Root MSE      = {res}   3.852

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} -.184195{col 30}{space 2} .1996754{col 41}{space 1}   -0.92{col 50}{space 3}0.363{col 58}{space 4}-.5914357{col 71}{space 3} .2230457
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0664132{col 30}{space 2} .0638617{col 41}{space 1}    1.04{col 50}{space 3}0.306{col 58}{space 4}-.0638335{col 71}{space 3}   .19666
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0075597{col 30}{space 2} .1126581{col 41}{space 1}    0.07{col 50}{space 3}0.947{col 58}{space 4}-.2222081{col 71}{space 3} .2373275
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0883205{col 30}{space 2} .0696614{col 41}{space 1}   -1.27{col 50}{space 3}0.214{col 58}{space 4}-.2303958{col 71}{space 3} .0537548
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 2.640391{col 30}{space 2} 5.103721{col 41}{space 1}    0.52{col 50}{space 3}0.609{col 58}{space 4}-7.768717{col 71}{space 3}  13.0495
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 3.312806{col 30}{space 2}   3.0278{col 41}{space 1}    1.09{col 50}{space 3}0.282{col 58}{space 4}-2.862433{col 71}{space 3} 9.488045
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.692
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0032
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  16.461
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  32.795
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}32.794834

{txt}added scalar:
             e(mean_y) =  {res}19.787649

   {txt}Election {c |}
       year {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       2002 {c |}{res}      1,579      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,579      100.00
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  6,    31) = {res}    2.80
{txt}{col 55}Prob > F      = {res}  0.0270
{txt}Total (centered) SS     = {res} 8951.441339{txt}{col 55}Centered R2   = {res} -0.5104
{txt}Total (uncentered) SS   = {res} 8951.441339{txt}{col 55}Uncentered R2 = {res} -0.5104
{txt}Residual SS             = {res} 13520.16405{txt}{col 55}Root MSE      = {res}   5.674

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2}-.8546602{col 30}{space 2}  .293789{col 41}{space 1}   -2.91{col 50}{space 3}0.007{col 58}{space 4}-1.453847{col 71}{space 3}-.2554737
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0372501{col 30}{space 2} .1173238{col 41}{space 1}    0.32{col 50}{space 3}0.753{col 58}{space 4}-.2020333{col 71}{space 3} .2765336
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0288188{col 30}{space 2} .1366909{col 41}{space 1}    0.21{col 50}{space 3}0.834{col 58}{space 4}-.2499641{col 71}{space 3} .3076017
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0432781{col 30}{space 2} .1514508{col 41}{space 1}    0.29{col 50}{space 3}0.777{col 58}{space 4} -.265608{col 71}{space 3} .3521641
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 11.10285{col 30}{space 2} 5.466132{col 41}{space 1}    2.03{col 50}{space 3}0.051{col 58}{space 4}-.0454042{col 71}{space 3}  22.2511
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 5.813048{col 30}{space 2} 5.216081{col 41}{space 1}    1.11{col 50}{space 3}0.274{col 58}{space 4} -4.82522{col 71}{space 3} 16.45131
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.844
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0029
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  16.166
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  29.829
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}29.828598

{txt}added scalar:
             e(mean_y) =  {res}28.387391

   {txt}Election {c |}
       year {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       2007 {c |}{res}      1,579      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,579      100.00
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  6,    31) = {res}    1.19
{txt}{col 55}Prob > F      = {res}  0.3390
{txt}Total (centered) SS     = {res} 4170.341767{txt}{col 55}Centered R2   = {res} -0.1422
{txt}Total (uncentered) SS   = {res} 4170.341767{txt}{col 55}Uncentered R2 = {res} -0.1422
{txt}Residual SS             = {res} 4763.554649{txt}{col 55}Root MSE      = {res}   3.368

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .3134561{col 30}{space 2} .1445587{col 41}{space 1}    2.17{col 50}{space 3}0.038{col 58}{space 4} .0186268{col 71}{space 3} .6082855
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0020714{col 30}{space 2} .0601533{col 41}{space 1}    0.03{col 50}{space 3}0.973{col 58}{space 4}-.1206121{col 71}{space 3} .1247549
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0320155{col 30}{space 2} .0891908{col 41}{space 1}   -0.36{col 50}{space 3}0.722{col 58}{space 4}-.2139214{col 71}{space 3} .1498904
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} -.030349{col 30}{space 2} .0829493{col 41}{space 1}   -0.37{col 50}{space 3}0.717{col 58}{space 4}-.1995252{col 71}{space 3} .1388271
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 3.371721{col 30}{space 2} 3.508333{col 41}{space 1}    0.96{col 50}{space 3}0.344{col 58}{space 4}-3.783571{col 71}{space 3} 10.52701
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-.2718073{col 30}{space 2} 2.940081{col 41}{space 1}   -0.09{col 50}{space 3}0.927{col 58}{space 4}-6.268142{col 71}{space 3} 5.724528
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   9.634
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0019
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  19.361
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  47.716
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}47.715875

{txt}added scalar:
             e(mean_y) =  {res}16.72891

   {txt}Election {c |}
       year {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       2012 {c |}{res}      1,579      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,579      100.00
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  6,    31) = {res}    0.69
{txt}{col 55}Prob > F      = {res}  0.6629
{txt}Total (centered) SS     = {res} 5094.179372{txt}{col 55}Centered R2   = {res}  0.0111
{txt}Total (uncentered) SS   = {res} 5094.179372{txt}{col 55}Uncentered R2 = {res}  0.0111
{txt}Residual SS             = {res} 5037.467949{txt}{col 55}Root MSE      = {res}   3.463

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .0727224{col 30}{space 2} .2277324{col 41}{space 1}    0.32{col 50}{space 3}0.752{col 58}{space 4}-.3917408{col 71}{space 3} .5371856
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0035719{col 30}{space 2}  .082355{col 41}{space 1}    0.04{col 50}{space 3}0.966{col 58}{space 4}-.1643922{col 71}{space 3} .1715359
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0528525{col 30}{space 2} .1016516{col 41}{space 1}   -0.52{col 50}{space 3}0.607{col 58}{space 4}-.2601722{col 71}{space 3} .1544672
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0355035{col 30}{space 2} .0948836{col 41}{space 1}   -0.37{col 50}{space 3}0.711{col 58}{space 4}-.2290199{col 71}{space 3} .1580129
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 4.373402{col 30}{space 2} 2.633562{col 41}{space 1}    1.66{col 50}{space 3}0.107{col 58}{space 4}-.9977825{col 71}{space 3} 9.744587
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-2.131332{col 30}{space 2} 2.270406{col 41}{space 1}   -0.94{col 50}{space 3}0.355{col 58}{space 4}-6.761857{col 71}{space 3} 2.499192
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  10.393
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0013
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  17.164
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  38.112
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}38.112253

{txt}added scalar:
             e(mean_y) =  {res}19.41339

   {txt}Election {c |}
       year {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       2017 {c |}{res}      1,579      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,579      100.00
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F(  6,    31) = {res}    1.86
{txt}{col 55}Prob > F      = {res}  0.1191
{txt}Total (centered) SS     = {res}  6125.33048{txt}{col 55}Centered R2   = {res} -0.0573
{txt}Total (uncentered) SS   = {res}  6125.33048{txt}{col 55}Uncentered R2 = {res} -0.0573
{txt}Residual SS             = {res} 6476.576551{txt}{col 55}Root MSE      = {res}   3.927

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .2520205{col 30}{space 2} .2064701{col 41}{space 1}    1.22{col 50}{space 3}0.231{col 58}{space 4} -.169078{col 71}{space 3}  .673119
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}  -.11773{col 30}{space 2} .0590813{col 41}{space 1}   -1.99{col 50}{space 3}0.055{col 58}{space 4}-.2382271{col 71}{space 3} .0027672
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0603662{col 30}{space 2} .0945625{col 41}{space 1}    0.64{col 50}{space 3}0.528{col 58}{space 4}-.1324953{col 71}{space 3} .2532277
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.1150985{col 30}{space 2} .1199704{col 41}{space 1}   -0.96{col 50}{space 3}0.345{col 58}{space 4}-.3597798{col 71}{space 3} .1295828
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 2.375715{col 30}{space 2} 3.310327{col 41}{space 1}    0.72{col 50}{space 3}0.478{col 58}{space 4}-4.375741{col 71}{space 3} 9.127172
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-7.521503{col 30}{space 2} 3.078243{col 41}{space 1}   -2.44{col 50}{space 3}0.020{col 58}{space 4}-13.79962{col 71}{space 3}-1.243386
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   9.749
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0018
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  16.686
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  35.615
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}35.614563

{txt}added scalar:
             e(mean_y) =  {res}20.639399
{txt}
{com}. 
. ********************************
. ***** 2. REGRESSIONS CUBIC *****
. ********************************
. 
. // Polynomial
. 
. global rdd2 "rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon rdd_lat_3 rdd_lon_3 rdd_lat_2_lon rdd_lat_lon_2"
{txt}
{com}. 
. // 1965-1969 FOR TABLE
. 
. foreach year in 1969{c -(}
{txt}  2{com}. 
.         reg perc_voixexd_ins perc_e_1908_1927 if annee==`year' & sample==1, cluster(ct_1936_enc)
{txt}  3{com}.         estimates store P`year'T1_VOTE3, title(`year'R1)
{txt}  4{com}.         qui sum perc_voixexd_ins if e(sample)
{txt}  5{com}.         scalar mean_y=r(mean)
{txt}  6{com}.         estadd scalar mean_y
{txt}  7{com}.         
. {c )-}

{txt}Linear regression                               Number of obs     = {res}       462
                                                {txt}{help j_robustsingular:F(0, 31) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}         .
                                                {txt}Root MSE          =    {res}      0

{txt}{ralign 82:(Std. err. adjusted for {res:32} clusters in ct_1936_enc)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}perc_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
perc_e_1908_1927 {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (omitted)
{space 11}_cons {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (omitted)
{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}added scalar:
             e(mean_y) =  {res}0
{txt}
{com}. 
. // Radical-Right
. 
. foreach year in 1965 1974 1995 2002 2007 2012 2017{c -(}
{txt}  2{com}.         
.         ivreghdfe perc_voixexd_ins (perc_i_full = perc_e_1908_1927) ///
>                 perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 perc_disp_1946 /// 
>                 $sigma $w $rdd2 /// 
>                 if annee==`year' & sample==1, cluster(ct_1936_enc) ///
>                 a(borderfe $dialect) partial($sigma $w)
{txt}  3{com}.                 
.         estimates store P`year'T1_VOTE3
{txt}  4{com}.         scalar f = e(rkf)
{txt}  5{com}.         estadd scalar F_fs=f
{txt}  6{com}.         qui sum perc_voixexd_ins if e(sample)
{txt}  7{com}.         scalar mean_y=r(mean)
{txt}  8{com}.         estadd scalar mean_y
{txt}  9{com}.         
. {c )-}
{res}{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996 rdd_lat_3 rdd_lat_2_lon rdd_lat_lon_2
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F( 10,    31) = {res}    1.12
{txt}{col 55}Prob > F      = {res}  0.3821
{txt}Total (centered) SS     = {res} 617.1098426{txt}{col 55}Centered R2   = {res} -0.0366
{txt}Total (uncentered) SS   = {res} 617.1098426{txt}{col 55}Uncentered R2 = {res} -0.0366
{txt}Residual SS             = {res} 639.6987653{txt}{col 55}Root MSE      = {res}   1.239

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}perc_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2}-.0677475{col 30}{space 2} .1245121{col 41}{space 1}   -0.54{col 50}{space 3}0.590{col 58}{space 4}-.3216916{col 71}{space 3} .1861966
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0250152{col 30}{space 2}   .02277{col 41}{space 1}    1.10{col 50}{space 3}0.280{col 58}{space 4}-.0214245{col 71}{space 3} .0714549
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0436319{col 30}{space 2} .0246423{col 41}{space 1}    1.77{col 50}{space 3}0.086{col 58}{space 4}-.0066264{col 71}{space 3} .0938902
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0855006{col 30}{space 2} .0374055{col 41}{space 1}   -2.29{col 50}{space 3}0.029{col 58}{space 4}-.1617896{col 71}{space 3}-.0092117
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-744.3489{col 30}{space 2} 623.6563{col 41}{space 1}   -1.19{col 50}{space 3}0.242{col 58}{space 4}-2016.304{col 71}{space 3} 527.6064
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 212.3462{col 30}{space 2} 1097.221{col 41}{space 1}    0.19{col 50}{space 3}0.848{col 58}{space 4} -2025.45{col 71}{space 3} 2450.143
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 8.002959{col 30}{space 2} 6.455992{col 41}{space 1}    1.24{col 50}{space 3}0.224{col 58}{space 4}-5.164124{col 71}{space 3} 21.17004
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 3.528678{col 30}{space 2} 121.8091{col 41}{space 1}    0.03{col 50}{space 3}0.977{col 58}{space 4}-244.9027{col 71}{space 3}   251.96
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-4.934337{col 30}{space 2} 5.002748{col 41}{space 1}   -0.99{col 50}{space 3}0.332{col 58}{space 4}-15.13751{col 71}{space 3} 5.268835
{txt}{space 7}rdd_lon_3 {c |}{col 18}{res}{space 2}-.1339997{col 30}{space 2} 5.559831{col 41}{space 1}   -0.02{col 50}{space 3}0.981{col 58}{space 4}-11.47335{col 71}{space 3} 11.20535
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.632
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0033
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.845
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  29.162
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon rdd_lon_3
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter perc_bacplus
{col 23}perc_bluecollar perc_chom lrev_median lrev_sd _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996 rdd_lat_3 rdd_lat_2_lon rdd_lat_lon_2
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}29.161724

{txt}added scalar:
             e(mean_y) =  {res}1.2057242
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996 rdd_lat_3 rdd_lat_2_lon rdd_lat_lon_2
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F( 10,    31) = {res}    1.54
{txt}{col 55}Prob > F      = {res}  0.1736
{txt}Total (centered) SS     = {res} 73.62421611{txt}{col 55}Centered R2   = {res}  0.0184
{txt}Total (uncentered) SS   = {res} 73.62421611{txt}{col 55}Uncentered R2 = {res}  0.0184
{txt}Residual SS             = {res} 72.27177537{txt}{col 55}Root MSE      = {res}   .4163

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}perc_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .0120024{col 30}{space 2} .0157354{col 41}{space 1}    0.76{col 50}{space 3}0.451{col 58}{space 4}-.0200902{col 71}{space 3} .0440949
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0056254{col 30}{space 2} .0052857{col 41}{space 1}    1.06{col 50}{space 3}0.295{col 58}{space 4}-.0051548{col 71}{space 3} .0164055
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0100698{col 30}{space 2} .0095725{col 41}{space 1}   -1.05{col 50}{space 3}0.301{col 58}{space 4} -.029593{col 71}{space 3} .0094534
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0121961{col 30}{space 2} .0087847{col 41}{space 1}   -1.39{col 50}{space 3}0.175{col 58}{space 4}-.0301125{col 71}{space 3} .0057204
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-26.15255{col 30}{space 2} 123.1194{col 41}{space 1}   -0.21{col 50}{space 3}0.833{col 58}{space 4}-277.2562{col 71}{space 3} 224.9511
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-660.5692{col 30}{space 2} 272.3594{col 41}{space 1}   -2.43{col 50}{space 3}0.021{col 58}{space 4} -1216.05{col 71}{space 3}-105.0885
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} .0935868{col 30}{space 2} 1.210494{col 41}{space 1}    0.08{col 50}{space 3}0.939{col 58}{space 4}-2.375231{col 71}{space 3} 2.562405
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 74.95254{col 30}{space 2}  27.5534{col 41}{space 1}    2.72{col 50}{space 3}0.011{col 58}{space 4} 18.75702{col 71}{space 3} 131.1481
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 2.244312{col 30}{space 2} 1.982132{col 41}{space 1}    1.13{col 50}{space 3}0.266{col 58}{space 4}-1.798273{col 71}{space 3} 6.286897
{txt}{space 7}rdd_lon_3 {c |}{col 18}{res}{space 2} -3.39596{col 30}{space 2} 1.259388{col 41}{space 1}   -2.70{col 50}{space 3}0.011{col 58}{space 4}-5.964499{col 71}{space 3}-.8274201
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.195
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0042
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  15.226
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  28.090
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon rdd_lon_3
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter perc_bacplus
{col 23}perc_bluecollar perc_chom lrev_median lrev_sd _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996 rdd_lat_3 rdd_lat_2_lon rdd_lat_lon_2
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}28.090433

{txt}added scalar:
             e(mean_y) =  {res}.3129585
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}rdd_lat_3 rdd_lat_2_lon rdd_lat_lon_2
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F( 10,    31) = {res}    2.51
{txt}{col 55}Prob > F      = {res}  0.0242
{txt}Total (centered) SS     = {res} 8862.597983{txt}{col 55}Centered R2   = {res} -0.4673
{txt}Total (uncentered) SS   = {res} 8862.597983{txt}{col 55}Uncentered R2 = {res} -0.4673
{txt}Residual SS             = {res} 13004.22191{txt}{col 55}Root MSE      = {res}   5.591

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}perc_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} 1.085328{col 30}{space 2} .3803662{col 41}{space 1}    2.85{col 50}{space 3}0.008{col 58}{space 4}  .309566{col 71}{space 3}  1.86109
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0300352{col 30}{space 2} .0932796{col 41}{space 1}    0.32{col 50}{space 3}0.750{col 58}{space 4}-.1602097{col 71}{space 3} .2202802
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0974029{col 30}{space 2} .1984545{col 41}{space 1}   -0.49{col 50}{space 3}0.627{col 58}{space 4}-.5021536{col 71}{space 3} .3073478
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0020004{col 30}{space 2} .1571062{col 41}{space 1}   -0.01{col 50}{space 3}0.990{col 58}{space 4}-.3224205{col 71}{space 3} .3184198
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 1364.626{col 30}{space 2} 2320.784{col 41}{space 1}    0.59{col 50}{space 3}0.561{col 58}{space 4}-3368.645{col 71}{space 3} 6097.898
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-3166.695{col 30}{space 2} 3937.344{col 41}{space 1}   -0.80{col 50}{space 3}0.427{col 58}{space 4}-11196.96{col 71}{space 3} 4863.571
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-16.81207{col 30}{space 2} 23.66874{col 41}{space 1}   -0.71{col 50}{space 3}0.483{col 58}{space 4}-65.08478{col 71}{space 3} 31.46065
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 187.7103{col 30}{space 2} 410.6203{col 41}{space 1}    0.46{col 50}{space 3}0.651{col 58}{space 4}-649.7554{col 71}{space 3} 1025.176
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 37.12572{col 30}{space 2} 23.21253{col 41}{space 1}    1.60{col 50}{space 3}0.120{col 58}{space 4}-10.21654{col 71}{space 3} 84.46798
{txt}{space 7}rdd_lon_3 {c |}{col 18}{res}{space 2}-8.810811{col 30}{space 2} 18.74491{col 41}{space 1}   -0.47{col 50}{space 3}0.642{col 58}{space 4} -47.0413{col 71}{space 3} 29.41968
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   9.229
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0024
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  14.453
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  34.194
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon rdd_lon_3
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}rdd_lat_3 rdd_lat_2_lon rdd_lat_lon_2
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}34.193709

{txt}added scalar:
             e(mean_y) =  {res}22.177668
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}rdd_lat_3 rdd_lat_2_lon rdd_lat_lon_2
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F( 10,    31) = {res}    2.56
{txt}{col 55}Prob > F      = {res}  0.0219
{txt}Total (centered) SS     = {res} 7921.764391{txt}{col 55}Centered R2   = {res} -0.2395
{txt}Total (uncentered) SS   = {res} 7921.764391{txt}{col 55}Uncentered R2 = {res} -0.2395
{txt}Residual SS             = {res}  9819.08373{txt}{col 55}Root MSE      = {res}   4.858

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}perc_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .7255757{col 30}{space 2} .3175814{col 41}{space 1}    2.28{col 50}{space 3}0.029{col 58}{space 4} .0778642{col 71}{space 3} 1.373287
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0230285{col 30}{space 2} .0847391{col 41}{space 1}    0.27{col 50}{space 3}0.788{col 58}{space 4}-.1497979{col 71}{space 3} .1958549
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0492401{col 30}{space 2} .1460027{col 41}{space 1}    0.34{col 50}{space 3}0.738{col 58}{space 4}-.2485343{col 71}{space 3} .3470146
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0903586{col 30}{space 2} .1177304{col 41}{space 1}   -0.77{col 50}{space 3}0.449{col 58}{space 4}-.3304715{col 71}{space 3} .1497542
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-1266.161{col 30}{space 2} 1823.627{col 41}{space 1}   -0.69{col 50}{space 3}0.493{col 58}{space 4}-4985.473{col 71}{space 3} 2453.152
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 2066.597{col 30}{space 2} 3330.811{col 41}{space 1}    0.62{col 50}{space 3}0.539{col 58}{space 4}-4726.637{col 71}{space 3}  8859.83
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 11.49195{col 30}{space 2} 18.08076{col 41}{space 1}    0.64{col 50}{space 3}0.530{col 58}{space 4}  -25.384{col 71}{space 3}  48.3679
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} -417.468{col 30}{space 2} 335.3507{col 41}{space 1}   -1.24{col 50}{space 3}0.223{col 58}{space 4} -1101.42{col 71}{space 3} 266.4841
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 18.89164{col 30}{space 2} 23.29739{col 41}{space 1}    0.81{col 50}{space 3}0.424{col 58}{space 4} -28.6237{col 71}{space 3} 66.40699
{txt}{space 7}rdd_lon_3 {c |}{col 18}{res}{space 2}  19.3314{col 30}{space 2} 15.39728{col 41}{space 1}    1.26{col 50}{space 3}0.219{col 58}{space 4}-12.07156{col 71}{space 3} 50.73435
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   9.037
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0026
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.215
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  27.444
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon rdd_lon_3
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}rdd_lat_3 rdd_lat_2_lon rdd_lat_lon_2
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}27.444138

{txt}added scalar:
             e(mean_y) =  {res}22.249573
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}rdd_lat_3 rdd_lat_2_lon rdd_lat_lon_2
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F( 10,    31) = {res}    4.15
{txt}{col 55}Prob > F      = {res}  0.0011
{txt}Total (centered) SS     = {res} 5514.142028{txt}{col 55}Centered R2   = {res}  0.0578
{txt}Total (uncentered) SS   = {res} 5514.142028{txt}{col 55}Uncentered R2 = {res}  0.0578
{txt}Residual SS             = {res} 5195.645874{txt}{col 55}Root MSE      = {res}   3.534

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}perc_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .0449839{col 30}{space 2} .1912097{col 41}{space 1}    0.24{col 50}{space 3}0.816{col 58}{space 4}-.3449909{col 71}{space 3} .4349587
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0490144{col 30}{space 2} .0600959{col 41}{space 1}    0.82{col 50}{space 3}0.421{col 58}{space 4} -.073552{col 71}{space 3} .1715808
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0153376{col 30}{space 2} .0908974{col 41}{space 1}   -0.17{col 50}{space 3}0.867{col 58}{space 4}-.2007239{col 71}{space 3} .1700488
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0202356{col 30}{space 2} .0682211{col 41}{space 1}   -0.30{col 50}{space 3}0.769{col 58}{space 4}-.1593735{col 71}{space 3} .1189023
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-2035.635{col 30}{space 2} 1093.921{col 41}{space 1}   -1.86{col 50}{space 3}0.072{col 58}{space 4}-4266.702{col 71}{space 3} 195.4314
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 2648.943{col 30}{space 2} 2513.637{col 41}{space 1}    1.05{col 50}{space 3}0.300{col 58}{space 4}-2477.655{col 71}{space 3}  7775.54
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 19.66099{col 30}{space 2} 10.91646{col 41}{space 1}    1.80{col 50}{space 3}0.081{col 58}{space 4}-2.603269{col 71}{space 3} 41.92525
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-475.7653{col 30}{space 2} 258.3025{col 41}{space 1}   -1.84{col 50}{space 3}0.075{col 58}{space 4}-1002.577{col 71}{space 3} 51.04613
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}  16.7142{col 30}{space 2} 14.48328{col 41}{space 1}    1.15{col 50}{space 3}0.257{col 58}{space 4}-12.82466{col 71}{space 3} 46.25305
{txt}{space 7}rdd_lon_3 {c |}{col 18}{res}{space 2} 21.70425{col 30}{space 2}  11.7302{col 41}{space 1}    1.85{col 50}{space 3}0.074{col 58}{space 4}-2.219646{col 71}{space 3} 45.62814
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  10.110
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0015
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  15.065
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  39.771
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon rdd_lon_3
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}rdd_lat_3 rdd_lat_2_lon rdd_lat_lon_2
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}39.770966

{txt}added scalar:
             e(mean_y) =  {res}14.88564
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}rdd_lat_3 rdd_lat_2_lon rdd_lat_lon_2
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F( 10,    31) = {res}    3.10
{txt}{col 55}Prob > F      = {res}  0.0075
{txt}Total (centered) SS     = {res} 7587.892197{txt}{col 55}Centered R2   = {res}  0.0631
{txt}Total (uncentered) SS   = {res} 7587.892197{txt}{col 55}Uncentered R2 = {res}  0.0631
{txt}Residual SS             = {res} 7109.266676{txt}{col 55}Root MSE      = {res}   4.134

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}perc_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .2025299{col 30}{space 2} .3156698{col 41}{space 1}    0.64{col 50}{space 3}0.526{col 58}{space 4} -.441283{col 71}{space 3} .8463428
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}  .038378{col 30}{space 2} .0520645{col 41}{space 1}    0.74{col 50}{space 3}0.467{col 58}{space 4}-.0678082{col 71}{space 3} .1445643
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0094554{col 30}{space 2} .1375029{col 41}{space 1}   -0.07{col 50}{space 3}0.946{col 58}{space 4}-.2898944{col 71}{space 3} .2709836
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0821077{col 30}{space 2} .1017742{col 41}{space 1}    0.81{col 50}{space 3}0.426{col 58}{space 4}-.1254622{col 71}{space 3} .2896776
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-3091.736{col 30}{space 2} 1027.857{col 41}{space 1}   -3.01{col 50}{space 3}0.005{col 58}{space 4}-5188.063{col 71}{space 3}-995.4086
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1139.019{col 30}{space 2} 3273.199{col 41}{space 1}   -0.35{col 50}{space 3}0.730{col 58}{space 4}-7814.751{col 71}{space 3} 5536.714
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 29.30348{col 30}{space 2}  10.7143{col 41}{space 1}    2.73{col 50}{space 3}0.010{col 58}{space 4}  7.45152{col 71}{space 3} 51.15544
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-65.29411{col 30}{space 2}  345.111{col 41}{space 1}   -0.19{col 50}{space 3}0.851{col 58}{space 4}-769.1526{col 71}{space 3} 638.5644
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 33.01903{col 30}{space 2}  18.8738{col 41}{space 1}    1.75{col 50}{space 3}0.090{col 58}{space 4}-5.474345{col 71}{space 3} 71.51241
{txt}{space 7}rdd_lon_3 {c |}{col 18}{res}{space 2}  2.95343{col 30}{space 2} 15.77438{col 41}{space 1}    0.19{col 50}{space 3}0.853{col 58}{space 4}-29.21863{col 71}{space 3} 35.12549
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  10.427
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0012
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  11.992
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  22.937
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon rdd_lon_3
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}rdd_lat_3 rdd_lat_2_lon rdd_lat_lon_2
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}22.936607

{txt}added scalar:
             e(mean_y) =  {res}23.237011
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}rdd_lat_3 rdd_lat_2_lon rdd_lat_lon_2
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F( 10,    31) = {res}    2.85
{txt}{col 55}Prob > F      = {res}  0.0123
{txt}Total (centered) SS     = {res} 9083.430189{txt}{col 55}Centered R2   = {res}  0.0460
{txt}Total (uncentered) SS   = {res} 9083.430189{txt}{col 55}Uncentered R2 = {res}  0.0460
{txt}Residual SS             = {res} 8665.267877{txt}{col 55}Root MSE      = {res}   4.564

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}perc_voixexd_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .0809974{col 30}{space 2} .3895623{col 41}{space 1}    0.21{col 50}{space 3}0.837{col 58}{space 4}-.7135201{col 71}{space 3}  .875515
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .1122183{col 30}{space 2} .0658228{col 41}{space 1}    1.70{col 50}{space 3}0.098{col 58}{space 4}-.0220282{col 71}{space 3} .2464649
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} -.023129{col 30}{space 2} .1010434{col 41}{space 1}   -0.23{col 50}{space 3}0.820{col 58}{space 4}-.2292083{col 71}{space 3} .1829503
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .1299321{col 30}{space 2} .1060669{col 41}{space 1}    1.23{col 50}{space 3}0.230{col 58}{space 4}-.0863928{col 71}{space 3} .3462569
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-394.0292{col 30}{space 2} 2125.103{col 41}{space 1}   -0.19{col 50}{space 3}0.854{col 58}{space 4}-4728.206{col 71}{space 3} 3940.148
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-631.0111{col 30}{space 2} 4011.259{col 41}{space 1}   -0.16{col 50}{space 3}0.876{col 58}{space 4}-8812.028{col 71}{space 3} 7550.006
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 2.862149{col 30}{space 2} 21.45091{col 41}{space 1}    0.13{col 50}{space 3}0.895{col 58}{space 4}-40.88727{col 71}{space 3} 46.61157
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-35.24071{col 30}{space 2} 403.0495{col 41}{space 1}   -0.09{col 50}{space 3}0.931{col 58}{space 4}-857.2656{col 71}{space 3} 786.7842
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}  17.8365{col 30}{space 2} 26.73356{col 41}{space 1}    0.67{col 50}{space 3}0.510{col 58}{space 4}-36.68697{col 71}{space 3} 72.35996
{txt}{space 7}rdd_lon_3 {c |}{col 18}{res}{space 2}  1.67983{col 30}{space 2} 18.43661{col 41}{space 1}    0.09{col 50}{space 3}0.928{col 58}{space 4}-35.92189{col 71}{space 3} 39.28155
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  10.182
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0014
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  11.484
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  24.561
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon rdd_lon_3
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}rdd_lat_3 rdd_lat_2_lon rdd_lat_lon_2
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}24.560931

{txt}added scalar:
             e(mean_y) =  {res}27.274936
{txt}
{com}. 
. // Abstention
. 
. foreach year in 1965 1969 1974 1995 2002 2007 2012 2017{c -(}
{txt}  2{com}.         
.         tab annee if annee==`year'
{txt}  3{com}.         
.         ivreghdfe perc_bna_ins (perc_i_full = perc_e_1908_1927) ///
>                 perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 perc_disp_1946 /// 
>                 $sigma $w $rdd2 /// 
>                 if annee==`year' & sample==1, cluster(ct_1936_enc) ///
>                 a(borderfe $dialect) partial($sigma $w)
{txt}  4{com}.                 
.         estimates store P`year'T1_ABST3, title(`year'R1)
{txt}  5{com}.         scalar f = e(rkf)
{txt}  6{com}.         estadd scalar F_fs=f
{txt}  7{com}.         qui sum perc_bna_ins if e(sample)
{txt}  8{com}.         scalar mean_y=r(mean)
{txt}  9{com}.         estadd scalar mean_y
{txt} 10{com}. 
. {c )-}

   {txt}Election {c |}
       year {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       1965 {c |}{res}      1,579      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,579      100.00
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996 rdd_lat_3 rdd_lat_2_lon rdd_lat_lon_2
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F( 10,    31) = {res}    5.98
{txt}{col 55}Prob > F      = {res}  0.0001
{txt}Total (centered) SS     = {res} 11796.59426{txt}{col 55}Centered R2   = {res} -0.1942
{txt}Total (uncentered) SS   = {res} 11796.59426{txt}{col 55}Uncentered R2 = {res} -0.1942
{txt}Residual SS             = {res} 14086.92648{txt}{col 55}Root MSE      = {res}   5.812

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2}  1.01974{col 30}{space 2} .3559315{col 41}{space 1}    2.86{col 50}{space 3}0.007{col 58}{space 4}  .293813{col 71}{space 3} 1.745667
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.1859756{col 30}{space 2} .0846486{col 41}{space 1}   -2.20{col 50}{space 3}0.036{col 58}{space 4}-.3586176{col 71}{space 3}-.0133336
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0554386{col 30}{space 2} .1859433{col 41}{space 1}    0.30{col 50}{space 3}0.768{col 58}{space 4}-.3237953{col 71}{space 3} .4346725
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.5098454{col 30}{space 2} .1523587{col 41}{space 1}   -3.35{col 50}{space 3}0.002{col 58}{space 4} -.820583{col 71}{space 3}-.1991078
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 487.3098{col 30}{space 2} 2822.704{col 41}{space 1}    0.17{col 50}{space 3}0.864{col 58}{space 4}-5269.634{col 71}{space 3} 6244.253
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-11106.02{col 30}{space 2} 4202.494{col 41}{space 1}   -2.64{col 50}{space 3}0.013{col 58}{space 4}-19677.06{col 71}{space 3}-2534.975
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} -6.24345{col 30}{space 2} 28.04687{col 41}{space 1}   -0.22{col 50}{space 3}0.825{col 58}{space 4}-63.44543{col 71}{space 3} 50.95853
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 1410.471{col 30}{space 2}  430.765{col 41}{space 1}    3.27{col 50}{space 3}0.003{col 58}{space 4} 531.9203{col 71}{space 3} 2289.022
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 16.97542{col 30}{space 2}  27.3835{col 41}{space 1}    0.62{col 50}{space 3}0.540{col 58}{space 4} -38.8736{col 71}{space 3} 72.82444
{txt}{space 7}rdd_lon_3 {c |}{col 18}{res}{space 2}-64.51062{col 30}{space 2} 19.78912{col 41}{space 1}   -3.26{col 50}{space 3}0.003{col 58}{space 4}-104.8708{col 71}{space 3}-24.15045
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.632
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0033
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.845
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  29.162
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon rdd_lon_3
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter perc_bacplus
{col 23}perc_bluecollar perc_chom lrev_median lrev_sd _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996 rdd_lat_3 rdd_lat_2_lon rdd_lat_lon_2
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}29.161724

{txt}added scalar:
             e(mean_y) =  {res}15.28727

   {txt}Election {c |}
       year {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       1969 {c |}{res}      1,579      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,579      100.00
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996 rdd_lat_3 rdd_lat_2_lon rdd_lat_lon_2
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F( 10,    31) = {res}    2.30
{txt}{col 55}Prob > F      = {res}  0.0368
{txt}Total (centered) SS     = {res} 18676.55415{txt}{col 55}Centered R2   = {res} -0.4003
{txt}Total (uncentered) SS   = {res} 18676.55415{txt}{col 55}Uncentered R2 = {res} -0.4003
{txt}Residual SS             = {res} 26153.02412{txt}{col 55}Root MSE      = {res}   7.919

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} 1.465661{col 30}{space 2} .5808933{col 41}{space 1}    2.52{col 50}{space 3}0.017{col 58}{space 4} .2809215{col 71}{space 3} 2.650401
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.1366011{col 30}{space 2} .1235747{col 41}{space 1}   -1.11{col 50}{space 3}0.277{col 58}{space 4}-.3886334{col 71}{space 3} .1154312
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0240998{col 30}{space 2} .2172644{col 41}{space 1}    0.11{col 50}{space 3}0.912{col 58}{space 4}-.4190137{col 71}{space 3} .4672134
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.5145831{col 30}{space 2} .1927806{col 41}{space 1}   -2.67{col 50}{space 3}0.012{col 58}{space 4}-.9077617{col 71}{space 3}-.1214045
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 1622.466{col 30}{space 2} 3159.418{col 41}{space 1}    0.51{col 50}{space 3}0.611{col 58}{space 4}-4821.209{col 71}{space 3} 8066.141
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-9121.574{col 30}{space 2} 5509.091{col 41}{space 1}   -1.66{col 50}{space 3}0.108{col 58}{space 4}-20357.44{col 71}{space 3} 2114.292
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-18.46863{col 30}{space 2} 32.37846{col 41}{space 1}   -0.57{col 50}{space 3}0.573{col 58}{space 4}-84.50494{col 71}{space 3} 47.56768
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 1082.638{col 30}{space 2}  578.959{col 41}{space 1}    1.87{col 50}{space 3}0.071{col 58}{space 4}-98.15638{col 71}{space 3} 2263.433
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 25.78604{col 30}{space 2} 33.17813{col 41}{space 1}    0.78{col 50}{space 3}0.443{col 58}{space 4}-41.88121{col 71}{space 3} 93.45329
{txt}{space 7}rdd_lon_3 {c |}{col 18}{res}{space 2}-49.76236{col 30}{space 2} 26.43982{col 41}{space 1}   -1.88{col 50}{space 3}0.069{col 58}{space 4}-103.6867{col 71}{space 3} 4.162003
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.705
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0032
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  14.978
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  31.041
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon rdd_lon_3
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter perc_bacplus
{col 23}perc_bluecollar perc_chom lrev_median lrev_sd _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996 rdd_lat_3 rdd_lat_2_lon rdd_lat_lon_2
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}31.041197

{txt}added scalar:
             e(mean_y) =  {res}23.6278

   {txt}Election {c |}
       year {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       1974 {c |}{res}      1,579      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,579      100.00
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}perc_b_1981_1996 rdd_lat_3 rdd_lat_2_lon rdd_lat_lon_2
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F( 10,    31) = {res}    2.35
{txt}{col 55}Prob > F      = {res}  0.0336
{txt}Total (centered) SS     = {res} 8937.800927{txt}{col 55}Centered R2   = {res} -0.1718
{txt}Total (uncentered) SS   = {res} 8937.800927{txt}{col 55}Uncentered R2 = {res} -0.1718
{txt}Residual SS             = {res} 10473.23156{txt}{col 55}Root MSE      = {res}   5.012

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .7955664{col 30}{space 2} .3302682{col 41}{space 1}    2.41{col 50}{space 3}0.022{col 58}{space 4}   .12198{col 71}{space 3} 1.469153
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0395299{col 30}{space 2} .0903919{col 41}{space 1}   -0.44{col 50}{space 3}0.665{col 58}{space 4}-.2238853{col 71}{space 3} .1448255
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0970146{col 30}{space 2} .1516642{col 41}{space 1}   -0.64{col 50}{space 3}0.527{col 58}{space 4}-.4063359{col 71}{space 3} .2123066
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.1075902{col 30}{space 2} .1409489{col 41}{space 1}   -0.76{col 50}{space 3}0.451{col 58}{space 4}-.3950574{col 71}{space 3}  .179877
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-29.74867{col 30}{space 2} 1430.885{col 41}{space 1}   -0.02{col 50}{space 3}0.984{col 58}{space 4}-2948.058{col 71}{space 3}  2888.56
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-2759.822{col 30}{space 2} 2702.487{col 41}{space 1}   -1.02{col 50}{space 3}0.315{col 58}{space 4}-8271.579{col 71}{space 3} 2751.936
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-2.110271{col 30}{space 2} 14.41701{col 41}{space 1}   -0.15{col 50}{space 3}0.885{col 58}{space 4}-31.51397{col 71}{space 3} 27.29342
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 158.1175{col 30}{space 2} 285.6109{col 41}{space 1}    0.55{col 50}{space 3}0.584{col 58}{space 4}-424.3898{col 71}{space 3} 740.6247
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 33.48735{col 30}{space 2} 15.39112{col 41}{space 1}    2.18{col 50}{space 3}0.037{col 58}{space 4} 2.096963{col 71}{space 3} 64.87774
{txt}{space 7}rdd_lon_3 {c |}{col 18}{res}{space 2} -7.45486{col 30}{space 2} 13.05752{col 41}{space 1}   -0.57{col 50}{space 3}0.572{col 58}{space 4}-34.08584{col 71}{space 3} 19.17612
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   8.195
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0042
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  15.226
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  28.090
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon rdd_lon_3
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_male_counter perc_bacplus
{col 23}perc_bluecollar perc_chom lrev_median lrev_sd _cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}perc_b_1981_1996 rdd_lat_3 rdd_lat_2_lon rdd_lat_lon_2
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}28.090433

{txt}added scalar:
             e(mean_y) =  {res}17.065947

   {txt}Election {c |}
       year {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       1995 {c |}{res}      1,579      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,579      100.00
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}rdd_lat_3 rdd_lat_2_lon rdd_lat_lon_2
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F( 10,    31) = {res}    1.37
{txt}{col 55}Prob > F      = {res}  0.2379
{txt}Total (centered) SS     = {res} 6008.066893{txt}{col 55}Centered R2   = {res} -0.0148
{txt}Total (uncentered) SS   = {res} 6008.066893{txt}{col 55}Uncentered R2 = {res} -0.0148
{txt}Residual SS             = {res} 6097.118955{txt}{col 55}Root MSE      = {res}   3.828

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2}-.1471816{col 30}{space 2}  .225667{col 41}{space 1}   -0.65{col 50}{space 3}0.519{col 58}{space 4}-.6074326{col 71}{space 3} .3130693
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}  .071244{col 30}{space 2} .0622956{col 41}{space 1}    1.14{col 50}{space 3}0.262{col 58}{space 4}-.0558087{col 71}{space 3} .1982966
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0071041{col 30}{space 2} .1127798{col 41}{space 1}    0.06{col 50}{space 3}0.950{col 58}{space 4}-.2229119{col 71}{space 3} .2371201
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0983541{col 30}{space 2} .0672087{col 41}{space 1}   -1.46{col 50}{space 3}0.153{col 58}{space 4}-.2354271{col 71}{space 3} .0387189
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-2265.343{col 30}{space 2} 2097.518{col 41}{space 1}   -1.08{col 50}{space 3}0.288{col 58}{space 4} -6543.26{col 71}{space 3} 2012.573
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 2415.629{col 30}{space 2} 2389.901{col 41}{space 1}    1.01{col 50}{space 3}0.320{col 58}{space 4}-2458.607{col 71}{space 3} 7289.865
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 23.54684{col 30}{space 2} 20.89738{col 41}{space 1}    1.13{col 50}{space 3}0.268{col 58}{space 4}-19.07364{col 71}{space 3} 66.16732
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-308.4004{col 30}{space 2} 254.6419{col 41}{space 1}   -1.21{col 50}{space 3}0.235{col 58}{space 4}-827.7459{col 71}{space 3} 210.9451
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-3.702611{col 30}{space 2}  15.1906{col 41}{space 1}   -0.24{col 50}{space 3}0.809{col 58}{space 4}-34.68404{col 71}{space 3} 27.27881
{txt}{space 7}rdd_lon_3 {c |}{col 18}{res}{space 2} 14.19502{col 30}{space 2} 11.66486{col 41}{space 1}    1.22{col 50}{space 3}0.233{col 58}{space 4}-9.595611{col 71}{space 3} 37.98566
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   9.229
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0024
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  14.453
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  34.194
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon rdd_lon_3
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}rdd_lat_3 rdd_lat_2_lon rdd_lat_lon_2
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}34.193709

{txt}added scalar:
             e(mean_y) =  {res}19.787649

   {txt}Election {c |}
       year {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       2002 {c |}{res}      1,579      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,579      100.00
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}rdd_lat_3 rdd_lat_2_lon rdd_lat_lon_2
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F( 10,    31) = {res}    3.02
{txt}{col 55}Prob > F      = {res}  0.0088
{txt}Total (centered) SS     = {res} 8951.441339{txt}{col 55}Centered R2   = {res} -0.4121
{txt}Total (uncentered) SS   = {res} 8951.441339{txt}{col 55}Uncentered R2 = {res} -0.4121
{txt}Residual SS             = {res} 12640.33577{txt}{col 55}Root MSE      = {res}   5.512

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2}-.7785297{col 30}{space 2} .2977932{col 41}{space 1}   -2.61{col 50}{space 3}0.014{col 58}{space 4}-1.385883{col 71}{space 3}-.1711765
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0385129{col 30}{space 2} .1170049{col 41}{space 1}    0.33{col 50}{space 3}0.744{col 58}{space 4}-.2001202{col 71}{space 3} .2771461
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0185852{col 30}{space 2} .1258421{col 41}{space 1}    0.15{col 50}{space 3}0.884{col 58}{space 4}-.2380715{col 71}{space 3} .2752419
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0511973{col 30}{space 2}  .141776{col 41}{space 1}    0.36{col 50}{space 3}0.720{col 58}{space 4}-.2379568{col 71}{space 3} .3403514
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-392.0002{col 30}{space 2} 1972.519{col 41}{space 1}   -0.20{col 50}{space 3}0.844{col 58}{space 4}-4414.979{col 71}{space 3} 3630.979
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 5033.205{col 30}{space 2} 3192.849{col 41}{space 1}    1.58{col 50}{space 3}0.125{col 58}{space 4}-1478.653{col 71}{space 3} 11545.06
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 3.960356{col 30}{space 2} 20.18726{col 41}{space 1}    0.20{col 50}{space 3}0.846{col 58}{space 4}-37.21182{col 71}{space 3} 45.13254
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-703.0481{col 30}{space 2} 369.7392{col 41}{space 1}   -1.90{col 50}{space 3}0.067{col 58}{space 4}-1457.136{col 71}{space 3} 51.03996
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 2.146905{col 30}{space 2} 19.70402{col 41}{space 1}    0.11{col 50}{space 3}0.914{col 58}{space 4}-38.03971{col 71}{space 3} 42.33352
{txt}{space 7}rdd_lon_3 {c |}{col 18}{res}{space 2} 32.05708{col 30}{space 2} 16.79782{col 41}{space 1}    1.91{col 50}{space 3}0.066{col 58}{space 4}-2.202298{col 71}{space 3} 66.31647
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}   9.037
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0026
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.215
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  27.444
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon rdd_lon_3
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}rdd_lat_3 rdd_lat_2_lon rdd_lat_lon_2
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}27.444138

{txt}added scalar:
             e(mean_y) =  {res}28.387391

   {txt}Election {c |}
       year {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       2007 {c |}{res}      1,579      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,579      100.00
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}rdd_lat_3 rdd_lat_2_lon rdd_lat_lon_2
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F( 10,    31) = {res}    2.77
{txt}{col 55}Prob > F      = {res}  0.0144
{txt}Total (centered) SS     = {res} 4170.341767{txt}{col 55}Centered R2   = {res} -0.2236
{txt}Total (uncentered) SS   = {res} 4170.341767{txt}{col 55}Uncentered R2 = {res} -0.2236
{txt}Residual SS             = {res}  5102.84173{txt}{col 55}Root MSE      = {res}   3.502

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .4100991{col 30}{space 2} .1853877{col 41}{space 1}    2.21{col 50}{space 3}0.034{col 58}{space 4} .0319984{col 71}{space 3} .7881999
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0025179{col 30}{space 2} .0609649{col 41}{space 1}   -0.04{col 50}{space 3}0.967{col 58}{space 4}-.1268566{col 71}{space 3} .1218208
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0419241{col 30}{space 2} .0999259{col 41}{space 1}   -0.42{col 50}{space 3}0.678{col 58}{space 4}-.2457244{col 71}{space 3} .1618761
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0469264{col 30}{space 2} .0874242{col 41}{space 1}   -0.54{col 50}{space 3}0.595{col 58}{space 4}-.2252292{col 71}{space 3} .1313763
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-866.9728{col 30}{space 2} 1472.158{col 41}{space 1}   -0.59{col 50}{space 3}0.560{col 58}{space 4}-3869.459{col 71}{space 3} 2135.513
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-2501.861{col 30}{space 2}  2495.78{col 41}{space 1}   -1.00{col 50}{space 3}0.324{col 58}{space 4}-7592.039{col 71}{space 3} 2588.316
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 7.317146{col 30}{space 2} 14.81016{col 41}{space 1}    0.49{col 50}{space 3}0.625{col 58}{space 4}-22.88837{col 71}{space 3} 37.52266
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 190.6916{col 30}{space 2}  256.638{col 41}{space 1}    0.74{col 50}{space 3}0.463{col 58}{space 4} -332.725{col 71}{space 3} 714.1081
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 21.42051{col 30}{space 2} 14.71758{col 41}{space 1}    1.46{col 50}{space 3}0.156{col 58}{space 4}-8.596189{col 71}{space 3} 51.43722
{txt}{space 7}rdd_lon_3 {c |}{col 18}{res}{space 2}-8.310841{col 30}{space 2} 11.66644{col 41}{space 1}   -0.71{col 50}{space 3}0.482{col 58}{space 4} -32.1047{col 71}{space 3} 15.48302
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  10.110
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0015
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  15.065
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  39.771
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon rdd_lon_3
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}rdd_lat_3 rdd_lat_2_lon rdd_lat_lon_2
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}39.770966

{txt}added scalar:
             e(mean_y) =  {res}16.72891

   {txt}Election {c |}
       year {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       2012 {c |}{res}      1,579      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,579      100.00
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}rdd_lat_3 rdd_lat_2_lon rdd_lat_lon_2
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F( 10,    31) = {res}    2.31
{txt}{col 55}Prob > F      = {res}  0.0363
{txt}Total (centered) SS     = {res} 5094.179372{txt}{col 55}Centered R2   = {res}  0.0110
{txt}Total (uncentered) SS   = {res} 5094.179372{txt}{col 55}Uncentered R2 = {res}  0.0110
{txt}Residual SS             = {res} 5038.169855{txt}{col 55}Root MSE      = {res}    3.48

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .1690933{col 30}{space 2} .2853258{col 41}{space 1}    0.59{col 50}{space 3}0.558{col 58}{space 4}-.4128325{col 71}{space 3} .7510191
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0019896{col 30}{space 2} .0854055{col 41}{space 1}   -0.02{col 50}{space 3}0.982{col 58}{space 4}-.1761752{col 71}{space 3}  .172196
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0598568{col 30}{space 2}  .103941{col 41}{space 1}   -0.58{col 50}{space 3}0.569{col 58}{space 4}-.2718459{col 71}{space 3} .1521324
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0449958{col 30}{space 2} .1012422{col 41}{space 1}   -0.44{col 50}{space 3}0.660{col 58}{space 4}-.2514806{col 71}{space 3}  .161489
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 58.97622{col 30}{space 2} 940.0696{col 41}{space 1}    0.06{col 50}{space 3}0.950{col 58}{space 4}-1858.308{col 71}{space 3} 1976.261
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-527.9137{col 30}{space 2} 2789.391{col 41}{space 1}   -0.19{col 50}{space 3}0.851{col 58}{space 4}-6216.914{col 71}{space 3} 5161.087
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-2.065538{col 30}{space 2} 9.572948{col 41}{space 1}   -0.22{col 50}{space 3}0.831{col 58}{space 4}-21.58969{col 71}{space 3} 17.45862
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-66.22067{col 30}{space 2} 293.2417{col 41}{space 1}   -0.23{col 50}{space 3}0.823{col 58}{space 4} -664.291{col 71}{space 3} 531.8496
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 19.91163{col 30}{space 2} 14.95665{col 41}{space 1}    1.33{col 50}{space 3}0.193{col 58}{space 4}-10.59265{col 71}{space 3} 50.41591
{txt}{space 7}rdd_lon_3 {c |}{col 18}{res}{space 2} 3.235602{col 30}{space 2} 13.43655{col 41}{space 1}    0.24{col 50}{space 3}0.811{col 58}{space 4}-24.16842{col 71}{space 3} 30.63962
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  10.427
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0012
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  11.992
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  22.937
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon rdd_lon_3
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}rdd_lat_3 rdd_lat_2_lon rdd_lat_lon_2
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}22.936607

{txt}added scalar:
             e(mean_y) =  {res}19.41339

   {txt}Election {c |}
       year {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       2017 {c |}{res}      1,579      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,579      100.00
{txt}Warning - duplicate variables detected
Duplicates:{col 21}perc_disp_1946
Warning - collinearities detected
Vars dropped:{col 21}rdd_lat_3 rdd_lat_2_lon rdd_lat_lon_2
{res}{txt}({browse "http://scorreia.com/research/hdfe.pdf":MWFE estimator} converged in 6 iterations)
{res}
{txt}IV (2SLS) estimation
{hline 20}

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on ct_1936_enc

Number of clusters (ct_1936_enc) = {col 33}{res}    32{txt}{col 55}Number of obs = {res}     462
{txt}{col 55}F( 10,    31) = {res}    1.88
{txt}{col 55}Prob > F      = {res}  0.0873
{txt}Total (centered) SS     = {res}  6125.33048{txt}{col 55}Centered R2   = {res} -0.1066
{txt}Total (uncentered) SS   = {res}  6125.33048{txt}{col 55}Uncentered R2 = {res} -0.1066
{txt}Residual SS             = {res} 6778.015566{txt}{col 55}Root MSE      = {res}   4.036

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}    perc_bna_ins{col 18}{c |} Coefficient{col 30}  std. err.{col 42}      t{col 50}   P>|t|{col 58}     [95% con{col 71}f. interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}perc_i_full {c |}{col 18}{res}{space 2} .3458133{col 30}{space 2} .2446927{col 41}{space 1}    1.41{col 50}{space 3}0.168{col 58}{space 4}-.1532407{col 71}{space 3} .8448674
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.1187667{col 30}{space 2} .0648297{col 41}{space 1}   -1.83{col 50}{space 3}0.077{col 58}{space 4}-.2509877{col 71}{space 3} .0134542
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0534644{col 30}{space 2} .1013586{col 41}{space 1}    0.53{col 50}{space 3}0.602{col 58}{space 4}-.1532579{col 71}{space 3} .2601867
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.1381429{col 30}{space 2} .1223068{col 41}{space 1}   -1.13{col 50}{space 3}0.267{col 58}{space 4}-.3875894{col 71}{space 3} .1113035
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-1733.283{col 30}{space 2} 1715.578{col 41}{space 1}   -1.01{col 50}{space 3}0.320{col 58}{space 4}-5232.228{col 71}{space 3} 1765.662
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-2796.069{col 30}{space 2} 2978.089{col 41}{space 1}   -0.94{col 50}{space 3}0.355{col 58}{space 4}-8869.921{col 71}{space 3} 3277.783
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 16.04407{col 30}{space 2} 17.37971{col 41}{space 1}    0.92{col 50}{space 3}0.363{col 58}{space 4}-19.40209{col 71}{space 3} 51.49023
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 218.0864{col 30}{space 2} 308.9903{col 41}{space 1}    0.71{col 50}{space 3}0.486{col 58}{space 4}-412.1034{col 71}{space 3} 848.2762
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 23.47456{col 30}{space 2} 17.53114{col 41}{space 1}    1.34{col 50}{space 3}0.190{col 58}{space 4}-12.28043{col 71}{space 3} 59.22956
{txt}{space 7}rdd_lon_3 {c |}{col 18}{res}{space 2}-9.643058{col 30}{space 2} 14.09886{col 41}{space 1}   -0.68{col 50}{space 3}0.499{col 58}{space 4}-38.39788{col 71}{space 3} 19.11176
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{help ivreg2##idtest:Underidentification test} (Kleibergen-Paap rk LM statistic):{res}{col 71}  10.182
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0014
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  11.484
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  24.561
{txt}Stock-Yogo weak ID test critical values:{res}{txt}{col 42}10% maximal IV size{res}{col 73} 16.38
{txt}{col 42}15% maximal IV size{res}{col 73}  8.96
{txt}{col 42}20% maximal IV size{res}{col 73}  6.66
{txt}{col 42}25% maximal IV size{res}{col 73}  5.53
{txt}Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
{hline 78}
{help ivreg2##overidtests:Hansen J statistic} (overidentification test of all instruments):{res}{col 71}   0.000
{txt}{col 50}(equation exactly identified)
{hline 78}
Instrumented:{col 23}perc_i_full
Included instruments:{col 23}perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932
{col 23}rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon rdd_lon_3
Excluded instruments:{col 23}perc_e_1908_1927
{help ivreg2##partial:Partialled-out}:{col 23}perc_prot_church pop_jew p_french_name lpop_1936
{col 23}perc_fore_1936 perc_dial_1936 perc_disp_1946 water
{col 23}lelevation_mean lelevation_std ldist_de perc_droi_1936_ins
{col 23}lpop_counter perc_fore perc_b_1928_1945 perc_b_1946_1964
{col 23}perc_b_1965_1980 perc_b_1981_1996 perc_male_counter
{col 23}perc_bacplus perc_bluecollar perc_chom lrev_median lrev_sd
{col 23}_cons
{col 23}nb: total SS, model F and R2s are after partialling-out;
{col 23}    any {help ivreg2##s_small:small-sample adjustments} include partialled-out
{col 23}    variables in regressor count K
Duplicates:{col 23}perc_disp_1946
Dropped collinear:{col 23}rdd_lat_3 rdd_lat_2_lon rdd_lat_lon_2
{hline 78}
{res}
{txt}Absorbed degrees of freedom:
{res}{col 1}{text}{hline 13}{c TT}{hline 12}{hline 12}{hline 14}{hline 1}{c TRC}
{col 1}{text} Absorbed FE{col 14}{c |} Categories{col 27} - Redundant{col 39}  = Num. Coefs{col 54}{c |}
{res}{col 1}{text}{hline 13}{c +}{hline 12}{hline 12}{hline 14}{hline 1}{c RT}
{col 1}{text}  borderfe25{col 14}{c |}{space 1}        8{col 27}{space 1}        0{col 39}{result}{space 1}        8{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_lux{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text} {col 54}{c |}
{res}{col 1}{text} dialect_mos{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_rhe{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_pal{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_als{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_hau{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_lor{col 14}{c |}{space 1}        2{col 27}{space 1}        1{col 39}{result}{space 1}        1{col 53}{text}?{col 54}{c |}
{res}{col 1}{text} dialect_fra{col 14}{c |}{space 1}        1{col 27}{space 1}        1{col 39}{result}{space 1}        0{col 53}{text}?{col 54}{c |}
{res}{col 1}{text}{hline 13}{c BT}{hline 12}{hline 12}{hline 14}{hline 1}{c BRC}
? = number of redundant parameters may be higher
{res}
{txt}added scalar:
               e(F_fs) =  {res}24.560931

{txt}added scalar:
             e(mean_y) =  {res}20.639399
{txt}
{com}. 
. ******************************
. ***** 3. TABLE FOR PAPER *****
. ******************************
. 
. // Fixed effects
. 
. estfe . P*, labels(dialect_lux "Historical dialects")
{res}{txt}
{com}. return list

{txt}macros:
        r(indicate_fe) : "{res} "Historical dialects=0.dialect_lux"  "borderfe25=0.borderfe25" "dialect_mos=0.dialect_mos" "dialect_rhe=0.dialect_rhe" "diale{txt}.."

{com}. 
. // Labels
. 
. la var perc_i_full "\\ Conscription proxy (\%)"
{txt}
{com}. 
. // Radical-Right Linear
. 
. estout P1965T1_VOTE P1969T1_VOTE P1974T1_VOTE P1995T1_VOTE P2002T1_VOTE P2007T1_VOTE P2012T1_VOTE P2017T1_VOTE ///
>         using "$results\\$program.tex", replace style(tex) type label ///
>         cells(b(star fmt(%9.3f)) se(par fmt(%9.3f)))  ///
>         stats(F_fs, lab("First-stage $ F $-statistic") fmt(2)) ///
>         collabels(none) ///
>         mlabels(, span none prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) ///
>         msign(--) starlevels(* .1 ** .05 *** .01) ///
>         keep(perc_i_full) ///
>         order(perc_i_full) ///
>         title(Abstention and the radical right-wing vote: Sensitivity to lat-lon polynomial) ///
>         prehead( ///
>         "\begin{c -(}table{c )-}[!h]" ///
>         "\begin{c -(}center{c )-}" ///
>         "\begin{c -(}threeparttable{c )-}" ///
>         "\begin{c -(}scriptsize{c )-}" ///
>         "\caption{c -(}@title\label{c -(}$program{c )-}{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 )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(7){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(8){c )-}\\" ///   
>         "       &\multicolumn{c -(}3{c )-}{c -(}c{c )-}{c -(}Earlier elections{c )-} &\multicolumn{c -(}5{c )-}{c -(}c{c )-}{c -(}Later elections{c )-}\\" ///
>         "\cmidrule(lr){c -(}2-4{c )-} \cmidrule(lr){c -(}5-9{c )-}" ///
>         "\multicolumn{c -(}1{c )-}{c -(}l{c )-}{c -(}\textit{c -(}Election year{c )-}{c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1965{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1969{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1974{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1995{c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2002{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2007{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2012{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2017{c )-}\\" ///
>         "\cmidrule(lr){c -(}2-9{c )-}" ///
>         "& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel A: 2SLS Estimates. Dep. Variable: Radical right-wing vote (\% of registered){c )-}\\") ///
>         posthead("\hline") ///
>         prefoot("\\ Lat-lon polynomial degree & 1st &  & 1st & 1st & 1st & 1st & 1st & 1st \\ ") ///
>         postfoot("\\")
{res}
\begin{c -(}table{c )-}[!h]
\begin{c -(}center{c )-}
\begin{c -(}threeparttable{c )-}
\begin{c -(}scriptsize{c )-}
\caption{c -(}Abstention and the radical right-wing vote: Sensitivity to lat-lon polynomial\label{c -(}EEREV-D-21-00004_TableA1{c )-}{c )-}
\begin{c -(}tabular*{c )-}{c -(}\columnwidth{c )-}{c -(}@{c -(}\extracolsep{c -(}\stretch{c -(}1{c )-}{c )-}{c )-}l*{c -(}8{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 )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(7){c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(8){c )-}\\
       &\multicolumn{c -(}3{c )-}{c -(}c{c )-}{c -(}Earlier elections{c )-} &\multicolumn{c -(}5{c )-}{c -(}c{c )-}{c -(}Later elections{c )-}\\
\cmidrule(lr){c -(}2-4{c )-} \cmidrule(lr){c -(}5-9{c )-}
\multicolumn{c -(}1{c )-}{c -(}l{c )-}{c -(}\textit{c -(}Election year{c )-}{c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1965{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1969{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1974{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}1995{c )-}  &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2002{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2007{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2012{c )-} &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}2017{c )-}\\
\cmidrule(lr){c -(}2-9{c )-}
& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel A: 2SLS Estimates. Dep. Variable: Radical right-wing vote (\% of registered){c )-}\\
\hline
\\ Conscription proxy (\%)&     --0.054   &               &       0.010   &       0.952** &       0.601** &     --0.112   &     --0.001   &     --0.014   \\
                    &     (0.119)   &               &     (0.018)   &     (0.376)   &     (0.285)   &     (0.183)   &     (0.298)   &     (0.312)   \\
\\ Lat-lon polynomial degree & 1st &  & 1st & 1st & 1st & 1st & 1st & 1st \\ 
First-stage $ F $-statistic&       28.00   &               &       31.88   &       32.79   &       29.83   &       47.72   &       38.11   &       35.61   \\
\\
{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableA1.tex"'})

{com}. 
. // Radical-Right Cubic
. 
. estout P1965T1_VOTE3 P1969T1_VOTE3 P1974T1_VOTE3 P1995T1_VOTE3 P2002T1_VOTE3 P2007T1_VOTE3 P2012T1_VOTE3 P2017T1_VOTE3 ///
>         using "$results\\$program.tex", append style(tex) type label ///
>         cells(b(star fmt(%9.3f)) se(par fmt(%9.3f)))  ///
>         stats(F_fs, lab("First-stage $ F $-statistic") fmt(2)) ///
>         collabels(none) ///
>         mlabels(, span none prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) ///
>         msign(--) starlevels(* .1 ** .05 *** .01) ///
>         keep(perc_i_full) ///
>         order(perc_i_full) ///
>         prehead("") ///
>         posthead("\hline") ///
>         prefoot("\\ Lat-lon polynomial degree & 3rd &  & 3rd & 3rd & 3rd & 3rd & 3rd & 3rd \\ ") ///
>         postfoot("\\")
{res}

\hline
\\ Conscription proxy (\%)&     --0.068   &               &       0.012   &       1.085***&       0.726** &       0.045   &       0.203   &       0.081   \\
                    &     (0.125)   &               &     (0.016)   &     (0.380)   &     (0.318)   &     (0.191)   &     (0.316)   &     (0.390)   \\
\\ Lat-lon polynomial degree & 3rd &  & 3rd & 3rd & 3rd & 3rd & 3rd & 3rd \\ 
First-stage $ F $-statistic&       29.16   &               &       28.09   &       34.19   &       27.44   &       39.77   &       22.94   &       24.56   \\
\\
{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableA1.tex"'})

{com}. 
. // Abstention Linear
. 
. estout P1965T1_ABST P1969T1_ABST P1974T1_ABST P1995T1_ABST P2002T1_ABST P2007T1_ABST P2012T1_ABST P2017T1_ABST ///
>         using "$results\\$program.tex", append style(tex) type label ///
>         cells(b(star fmt(%9.3f)) se(par fmt(%9.3f)))  ///
>         stats(F_fs, lab("First-stage $ F $-statistic") fmt(2)) ///
>         collabels(none) ///
>         mlabels(, span none prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) ///
>         msign(--) starlevels(* .1 ** .05 *** .01) ///
>         keep(perc_i_full) ///
>         order(perc_i_full) ///
>         prehead("%\hline" ///
>         "\cmidrule(lr){c -(}2-9{c )-}" ///
>         "& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel B: 2SLS Estimates. Dep. Variable: Abstention (\% of registered){c )-}\\") ///
>         posthead("\hline") ///
>         prefoot("\\ Lat-lon polynomial degree & 1st & 1st & 1st & 1st & 1st & 1st & 1st & 1st \\ ") ///
>         postfoot("\\")
{res}
%\hline
\cmidrule(lr){c -(}2-9{c )-}
& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel B: 2SLS Estimates. Dep. Variable: Abstention (\% of registered){c )-}\\
\hline
\\ Conscription proxy (\%)&       1.117***&       1.488** &       0.658** &     --0.184   &     --0.855***&       0.313** &       0.073   &       0.252   \\
                    &     (0.385)   &     (0.564)   &     (0.310)   &     (0.200)   &     (0.294)   &     (0.145)   &     (0.228)   &     (0.206)   \\
\\ Lat-lon polynomial degree & 1st & 1st & 1st & 1st & 1st & 1st & 1st & 1st \\ 
First-stage $ F $-statistic&       28.00   &       31.17   &       31.88   &       32.79   &       29.83   &       47.72   &       38.11   &       35.61   \\
\\
{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableA1.tex"'})

{com}. 
. // Abstention Cubic
. 
. estout P1965T1_ABST3 P1969T1_ABST3 P1974T1_ABST3 P1995T1_ABST3 P2002T1_ABST3 P2007T1_ABST3 P2012T1_ABST3 P2017T1_ABST3 ///
>         using "$results\\$program.tex", append style(tex) type label ///
>         cells(b(star fmt(%9.3f)) se(par fmt(%9.3f)))  ///
>         stats(F_fs, lab("First-stage $ F $-statistic") fmt(2)) ///
>         collabels(none) ///
>         mlabels(, span none prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) ///
>         msign(--) starlevels(* .1 ** .05 *** .01) ///
>         keep(perc_i_full) ///
>         order(perc_i_full) ///
>         prehead("") ///
>         posthead("\hline") ///
>         prefoot("\\ Lat-lon polynomial degree & 3rd & 3rd & 3rd & 3rd & 3rd & 3rd & 3rd & 3rd \\ ") ///
>         postfoot("\\")
{res}

\hline
\\ Conscription proxy (\%)&       1.020***&       1.466** &       0.796** &     --0.147   &     --0.779** &       0.410** &       0.169   &       0.346   \\
                    &     (0.356)   &     (0.581)   &     (0.330)   &     (0.226)   &     (0.298)   &     (0.185)   &     (0.285)   &     (0.245)   \\
\\ Lat-lon polynomial degree & 3rd & 3rd & 3rd & 3rd & 3rd & 3rd & 3rd & 3rd \\ 
First-stage $ F $-statistic&       29.16   &       31.04   &       28.09   &       34.19   &       27.44   &       39.77   &       22.94   &       24.56   \\
\\
{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableA1.tex"'})

{com}. 
. // Closure
. 
. estout P1965T1_ABST P1969T1_ABST P1974T1_ABST P1995T1_ABST P2002T1_ABST P2007T1_ABST P2012T1_ABST P2017T1_ABST ///
>         using "$results\\$program.tex", append style(tex) type label ///
>         cells(b(star fmt(%9.3f)) se(par fmt(%9.3f)))  ///
>         stats(N N_clust, lab("Observations" "Clusters") fmt(0 0)) ///
>         collabels(none) ///
>         mlabels(, span none prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) ///
>         msign(--) starlevels(* .1 ** .05 *** .01) ///
>         drop(*) ///     
>         indicate( ///   
>         "Border segment FE = 0.borderfe25" ///
>         "Historical dialect FE = 0.dialect_lux" ///
>         "Full set of controls = perc_b_1903_1912" ///
>         , 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 )-}:" /// 
>         "Sensitivity of the results of Table \ref{c -(}EEREV-D-21-00004_Table5{c )-} to different latitude-longitude polynomials. " ///
>         "The unit of observation is a municipality. " ///
>         "Standard errors clustered at the canton level in parentheses. " ///
>         "Panel A: 2SLS estimates with radical right-wing vote as the outcome and a first order ($ x+y $) and third order ($ x+y+x^2+y^2+xy+x^3+y^3+x^2y+xy^2 $) polynomial in latitude-longitude; " ///
>         "Panel B: 2SLS estimates with abstention as the outcome. " ///
>         "Each column presents the estimation for a different election. " ///
>         "First-stage F-statistic is the Kleibergen-Paap rk Wald F-statistic of the first-stage estimation. " ///
>         "* 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}


Border segment FE   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   \\
Historical dialect FE &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   \\
Full set of controls &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   &         Yes   \\
\hline
Observations        &         462   &         462   &         462   &         462   &         462   &         462   &         462   &         462   \\
Clusters            &          32   &          32   &          32   &          32   &          32   &          32   &          32   &          32   \\
\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 )-}:
Sensitivity of the results of Table \ref{c -(}EEREV-D-21-00004_Table5{c )-} to different latitude-longitude polynomials. 
The unit of observation is a municipality. 
Standard errors clustered at the canton level in parentheses. 
Panel A: 2SLS estimates with radical right-wing vote as the outcome and a first order ($ x+y $) and third order ($ x+y+x^2+y^2+xy+x^3+y^3+x^2y+xy^2 $) polynomial in latitude-longitude; 
Panel B: 2SLS estimates with abstention as the outcome. 
Each column presents the estimation for a different election. 
First-stage F-statistic is the Kleibergen-Paap rk Wald F-statistic of the first-stage estimation. 
* 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_TableA1.tex"'})

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