{smcl}
{com}{sf}{ul off}{txt}
{com}. 
. **** REPLICATION OF TABLE C13 ****
. 
. clear all
{res}{txt}
{com}. set mem 2g
{txt}{bf:set memory} ignored.
{p 4 4 2}
Memory no longer
needs to be set in modern Statas;
memory adjustments are performed on the fly
automatically.
{p_end}

{com}. set more off
{txt}
{com}. 
. /*      
>         OUTLINE
>         1. PREPARE DATA
>         2. REGRESSIONS
>         3. TABLE FOR PAPER
> */
. 
. ***************************
. ***** 1. PREPARE DATA *****
. ***************************
. 
. // Import Municipality 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}. 
. // Rdd
. 
. global rdd2                             "rdd_lat rdd_lon rdd_lat_2 rdd_lon_2 rdd_lat_lon"
{txt}
{com}. 
. // Reshape
. 
. drop if sample==0
{txt}(8,936 observations deleted)

{com}. 
. reshape long voix_, i(com dep annee) j(candidate) string
{txt}(j = AbstBlancs Arthaud Asselineau Balladur Barbu Bayrou Besancenot Boutin Bove Buffet ChabanDelmas Cheminade Chevenement Chirac DeGaulle DeVilliers Defferre Ducatel Duclos Dumont DupontAignan Fillon GiscarddEstaing Gluckstein Hamon Heraud Hollande Hue Joly Jospin Krivine Laguiller Lassalle LePen Lecanuet Lepage Macron Madelin Mamere Marcilhacy Megret Melenchon Mitterrand Muller Nihous Poher Pompidou Poutou Renouvin Rocard Royal Royer SaintJosse Sarkozy Schivardi Sebag Taubira TixierVignancour Voynet)

Data{col 36}Wide{col 43}->{col 48}Long
{hline 77}
Number of observations     {res}       3,696   {txt}->   {res}218,064     
{txt}Number of variables        {res}         160   {txt}->   {res}103         
{txt}j variable (59 values)                    ->   {res}candidate
{txt}xij variables:
{res}voix_AbstBlancs voix_Arthaud ... voix_Voynet{txt}-> {res}voix_
{txt}{hline 77}

{com}. drop if voix_==.
{txt}(176,022 observations deleted)

{com}. rename voix_ voix
{res}{txt}
{com}. 
. // Merge with Candidate data
. 
. merge m:1 annee candidate using $data\EEREV-D-21-00004_Data_Candidates, keepusing(rle_C nat_C aut_C abs_C)
{res}
{txt}{col 5}Result{col 33}Number of obs
{col 5}{hline 41}
{col 5}Not matched{col 30}{res}           3,696
{txt}{col 9}from master{col 30}{res}           3,696{txt}  (_merge==1)
{col 9}from using{col 30}{res}               0{txt}  (_merge==2)

{col 5}Matched{col 30}{res}          38,346{txt}  (_merge==3)
{col 5}{hline 41}

{com}. tab candidate annee if _merge==1

                 {txt}{c |}                                      Election year
           ANNEE {c |}      1965       1969       1974       1995       2002       2007       2012       2017 {c |}     Total
{hline 17}{c +}{hline 88}{c +}{hline 10}
      AbstBlancs {c |}{res}       462        462        462        462        462        462        462        462 {txt}{c |}{res}     3,696 
{txt}{hline 17}{c +}{hline 88}{c +}{hline 10}
           Total {c |}{res}       462        462        462        462        462        462        462        462 {txt}{c |}{res}     3,696 
{txt}
{com}. drop if _merge==1
{txt}(3,696 observations deleted)

{com}. drop _merge
{txt}
{com}. 
. foreach var in rle nat aut abs{c -(}
{txt}  2{com}.         
.         bysort annee com: egen rank=rank(`var'_C), field
{txt}  3{com}.         g R_top2_`var'=1*(rank<=2)
{txt}  4{com}.         replace R_top2_`var'=. if `var'_C==.
{txt}  5{com}.         drop rank
{txt}  6{com}. 
. {c )-}
{txt}(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)

{com}. 
. reshape long R_top2, i(annee com candidate) j(position) string
{txt}(j = _abs _aut _nat _rle)

Data{col 36}Wide{col 43}->{col 48}Long
{hline 77}
Number of observations     {res}      38,346   {txt}->   {res}153,384     
{txt}Number of variables        {res}         111   {txt}->   {res}109         
{txt}j variable (4 values)                     ->   {res}position
{txt}xij variables:
   {res}R_top2_abs R_top2_aut ... R_top2_rle   {txt}->   {res}R_top2
{txt}{hline 77}

{com}. 
. // Collapse vote
. 
. collapse (sum) voix, by(annee ct_1936_enc com sample borderfe25 $dialect inscrits $sigma $w $rdd2 perc_i_full perc_e_1908_1927 ///
>                 perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 perc_disp_1946 position R_top2)
{res}{txt}
{com}. 
. reshape wide voix, i(annee com R_top2) j(position) string
{txt}(j = _abs _aut _nat _rle)

Data{col 36}Long{col 43}->{col 48}Wide
{hline 77}
Number of observations     {res}      29,568   {txt}->   {res}7,392       
{txt}Number of variables        {res}          51   {txt}->   {res}53          
{txt}j variable (4 values)          {res}position   {txt}->   (dropped)
xij variables:
                                   {res}voix   {txt}->   {res}voix_abs voix_aut ... voix_rle
{txt}{hline 77}

{com}.                 
. // Reshape to get difference
. 
. g type_str="_R" if R_top2==1
{txt}(3,696 missing values generated)

{com}. replace type_str="_M" if R_top2==0
{txt}(3,696 real changes made)

{com}. drop R_top2
{txt}
{com}. 
. reshape wide voix_abs voix_aut voix_nat voix_rle, i(com annee) j(type_str) string
{txt}(j = _M _R)

Data{col 36}Long{col 43}->{col 48}Wide
{hline 77}
Number of observations     {res}       7,392   {txt}->   {res}3,696       
{txt}Number of variables        {res}          53   {txt}->   {res}56          
{txt}j variable (2 values)          {res}type_str   {txt}->   (dropped)
xij variables:
                               {res}voix_abs   {txt}->   {res}voix_abs_M voix_abs_R
                               voix_aut   {txt}->   {res}voix_aut_M voix_aut_R
                               voix_nat   {txt}->   {res}voix_nat_M voix_nat_R
                               voix_rle   {txt}->   {res}voix_rle_M voix_rle_R
{txt}{hline 77}

{com}. 
. foreach var in abs aut nat rle {c -(} 
{txt}  2{com}.     
.         g voix_`var'_RM=voix_`var'_R-voix_`var'_M
{txt}  3{com}.         
. {c )-}
{txt}
{com}. 
. // Generate vote shares
. 
. foreach var in abs aut nat rle {c -(} // 
{txt}  2{com}. foreach case in R M RM{c -(}
{txt}  3{com}. 
.         g perc_`var'_`case'_ins=(voix_`var'_`case'*100)/inscrits
{txt}  4{com}. 
.         la var perc_`var'_`case'_ins "Vote share `var'_`case'_`split' (% registered)"
{txt}  5{com}.         
.         format perc_* %9.2f
{txt}  6{com}. 
. {c )-}
{txt}  7{com}. {c )-}
{txt}
{com}. 
. **************************
. ***** 2. REGRESSIONS *****
. **************************
. 
. foreach year in 1965 1969 1974 1995 2002 2007 2012 2017{c -(}
{txt}  2{com}. 
. foreach var in aut nat rle abs{c -(} 
{txt}  3{com}.         
.         sum annee if annee==`year'
{txt}  4{com}.                 
.         // Difference
. 
.         ivreghdfe perc_`var'_RM_ins ///
>                 (perc_i_full=perc_e_1908_1927) ///
>                 perc_b_1903_1912 perc_b_1913_1922 perc_b_1923_1932 /// 
>                 $sigma $w $rdd2 /// 
>                 if annee==`year' & sample==1, cluster(ct_1936_enc) ///
>                 a(borderfe $dialect) partial($sigma $w)
{txt}  5{com}.                 
.         estimates store P`year'T1_`var'_RM
{txt}  6{com}.         scalar f = e(rkf)
{txt}  7{com}.         estadd scalar F_fs=f
{txt}  8{com}.         qui sum perc_`var'_RM_ins if e(sample)
{txt}  9{com}.         scalar mean_y=r(mean)
{txt} 10{com}.         estadd scalar mean_y
{txt} 11{com}. 
. {c )-}
{txt} 12{com}. {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}annee {c |}{res}        462        1965           0       1965       1965
{txt}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(  9,    31) = {res}    3.58
{txt}{col 55}Prob > F      = {res}  0.0038
{txt}Total (centered) SS     = {res} 106527.7596{txt}{col 55}Centered R2   = {res} -0.2255
{txt}Total (uncentered) SS   = {res} 106527.7596{txt}{col 55}Uncentered R2 = {res} -0.2255
{txt}Residual SS             = {res} 130548.5406{txt}{col 55}Root MSE      = {res}   17.67

{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_aut_RM_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}-2.788636{col 30}{space 2} 1.044235{col 41}{space 1}   -2.67{col 50}{space 3}0.012{col 58}{space 4}-4.918368{col 71}{space 3}-.6589052
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .1786395{col 30}{space 2}  .284269{col 41}{space 1}    0.63{col 50}{space 3}0.534{col 58}{space 4} -.401131{col 71}{space 3} .7584101
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.3450757{col 30}{space 2} .5339138{col 41}{space 1}   -0.65{col 50}{space 3}0.523{col 58}{space 4}   -1.434{col 71}{space 3} .7438485
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} 1.199436{col 30}{space 2} .3432896{col 41}{space 1}    3.49{col 50}{space 3}0.001{col 58}{space 4} .4992922{col 71}{space 3}  1.89958
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} -877.771{col 30}{space 2} 6189.684{col 41}{space 1}   -0.14{col 50}{space 3}0.888{col 58}{space 4}-13501.71{col 71}{space 3} 11746.17
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-3454.438{col 30}{space 2} 3577.201{col 41}{space 1}   -0.97{col 50}{space 3}0.342{col 58}{space 4}-10750.19{col 71}{space 3} 3841.312
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 3.986963{col 30}{space 2} 61.98545{col 41}{space 1}    0.06{col 50}{space 3}0.949{col 58}{space 4}-122.4332{col 71}{space 3} 130.4071
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 4.224527{col 30}{space 2} 29.96852{col 41}{space 1}    0.14{col 50}{space 3}0.889{col 58}{space 4}-56.89667{col 71}{space 3} 65.34573
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 69.62014{col 30}{space 2} 70.09745{col 41}{space 1}    0.99{col 50}{space 3}0.328{col 58}{space 4}-73.34455{col 71}{space 3} 212.5848
{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}   7.400
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0065
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.488
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  20.042
{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
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
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}20.041981

{txt}added scalar:
             e(mean_y) =  {res}43.865964

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}annee {c |}{res}        462        1965           0       1965       1965
{txt}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(  9,    31) = {res}    4.94
{txt}{col 55}Prob > F      = {res}  0.0004
{txt}Total (centered) SS     = {res}  36680.4005{txt}{col 55}Centered R2   = {res} -0.1431
{txt}Total (uncentered) SS   = {res}  36680.4005{txt}{col 55}Uncentered R2 = {res} -0.1431
{txt}Residual SS             = {res} 41929.05987{txt}{col 55}Root MSE      = {res}   10.02

{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_nat_RM_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}-1.575769{col 30}{space 2} .6130436{col 41}{space 1}   -2.57{col 50}{space 3}0.015{col 58}{space 4} -2.82608{col 71}{space 3}-.3254586
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .1768384{col 30}{space 2} .1479498{col 41}{space 1}    1.20{col 50}{space 3}0.241{col 58}{space 4}-.1249073{col 71}{space 3}  .478584
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0498801{col 30}{space 2} .2998715{col 41}{space 1}   -0.17{col 50}{space 3}0.869{col 58}{space 4}-.6614721{col 71}{space 3} .5617118
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .8728258{col 30}{space 2} .2500814{col 41}{space 1}    3.49{col 50}{space 3}0.001{col 58}{space 4} .3627815{col 71}{space 3}  1.38287
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 2578.337{col 30}{space 2} 4612.835{col 41}{space 1}    0.56{col 50}{space 3}0.580{col 58}{space 4}-6829.602{col 71}{space 3} 11986.28
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-532.6969{col 30}{space 2} 1698.066{col 41}{space 1}   -0.31{col 50}{space 3}0.756{col 58}{space 4}-3995.924{col 71}{space 3} 2930.531
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-27.55463{col 30}{space 2} 46.93175{col 41}{space 1}   -0.59{col 50}{space 3}0.561{col 58}{space 4}-123.2726{col 71}{space 3} 68.16331
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-12.13288{col 30}{space 2} 15.22758{col 41}{space 1}   -0.80{col 50}{space 3}0.432{col 58}{space 4}-43.18975{col 71}{space 3} 18.92398
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 14.91075{col 30}{space 2} 33.56115{col 41}{space 1}    0.44{col 50}{space 3}0.660{col 58}{space 4}-53.53766{col 71}{space 3} 83.35916
{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}   7.400
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0065
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.488
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  20.042
{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
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
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}20.041981

{txt}added scalar:
             e(mean_y) =  {res}72.20506

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}annee {c |}{res}        462        1965           0       1965       1965
{txt}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(  9,    31) = {res}    3.58
{txt}{col 55}Prob > F      = {res}  0.0038
{txt}Total (centered) SS     = {res} 106527.7596{txt}{col 55}Centered R2   = {res} -0.2255
{txt}Total (uncentered) SS   = {res} 106527.7596{txt}{col 55}Uncentered R2 = {res} -0.2255
{txt}Residual SS             = {res} 130548.5406{txt}{col 55}Root MSE      = {res}   17.67

{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_rle_RM_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}-2.788636{col 30}{space 2} 1.044235{col 41}{space 1}   -2.67{col 50}{space 3}0.012{col 58}{space 4}-4.918368{col 71}{space 3}-.6589052
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .1786395{col 30}{space 2}  .284269{col 41}{space 1}    0.63{col 50}{space 3}0.534{col 58}{space 4} -.401131{col 71}{space 3} .7584101
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.3450757{col 30}{space 2} .5339138{col 41}{space 1}   -0.65{col 50}{space 3}0.523{col 58}{space 4}   -1.434{col 71}{space 3} .7438485
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} 1.199436{col 30}{space 2} .3432896{col 41}{space 1}    3.49{col 50}{space 3}0.001{col 58}{space 4} .4992922{col 71}{space 3}  1.89958
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} -877.771{col 30}{space 2} 6189.684{col 41}{space 1}   -0.14{col 50}{space 3}0.888{col 58}{space 4}-13501.71{col 71}{space 3} 11746.17
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-3454.438{col 30}{space 2} 3577.201{col 41}{space 1}   -0.97{col 50}{space 3}0.342{col 58}{space 4}-10750.19{col 71}{space 3} 3841.312
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 3.986963{col 30}{space 2} 61.98545{col 41}{space 1}    0.06{col 50}{space 3}0.949{col 58}{space 4}-122.4332{col 71}{space 3} 130.4071
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 4.224527{col 30}{space 2} 29.96852{col 41}{space 1}    0.14{col 50}{space 3}0.889{col 58}{space 4}-56.89667{col 71}{space 3} 65.34573
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 69.62014{col 30}{space 2} 70.09745{col 41}{space 1}    0.99{col 50}{space 3}0.328{col 58}{space 4}-73.34455{col 71}{space 3} 212.5848
{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}   7.400
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0065
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.488
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  20.042
{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
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
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}20.041981

{txt}added scalar:
             e(mean_y) =  {res}43.865964

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}annee {c |}{res}        462        1965           0       1965       1965
{txt}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(  9,    31) = {res}    6.02
{txt}{col 55}Prob > F      = {res}  0.0001
{txt}Total (centered) SS     = {res}  30906.1666{txt}{col 55}Centered R2   = {res} -0.2826
{txt}Total (uncentered) SS   = {res}  30906.1666{txt}{col 55}Uncentered R2 = {res} -0.2826
{txt}Residual SS             = {res} 39639.68921{txt}{col 55}Root MSE      = {res}   9.738

{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_abs_RM_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}  1.71121{col 30}{space 2} .6397848{col 41}{space 1}    2.67{col 50}{space 3}0.012{col 58}{space 4} .4063601{col 71}{space 3}  3.01606
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.2268684{col 30}{space 2} .1488171{col 41}{space 1}   -1.52{col 50}{space 3}0.138{col 58}{space 4}-.5303828{col 71}{space 3}  .076646
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0374356{col 30}{space 2} .2908745{col 41}{space 1}   -0.13{col 50}{space 3}0.898{col 58}{space 4}-.6306781{col 71}{space 3} .5558068
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.7018913{col 30}{space 2} .2494924{col 41}{space 1}   -2.81{col 50}{space 3}0.008{col 58}{space 4}-1.210734{col 71}{space 3}-.1930481
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-1091.983{col 30}{space 2} 3958.978{col 41}{space 1}   -0.28{col 50}{space 3}0.785{col 58}{space 4}-9166.373{col 71}{space 3} 6982.406
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 58.58301{col 30}{space 2} 1641.746{col 41}{space 1}    0.04{col 50}{space 3}0.972{col 58}{space 4}-3289.781{col 71}{space 3} 3406.947
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 11.56253{col 30}{space 2} 40.28263{col 41}{space 1}    0.29{col 50}{space 3}0.776{col 58}{space 4}-70.59444{col 71}{space 3}  93.7195
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 10.93779{col 30}{space 2} 14.63139{col 41}{space 1}    0.75{col 50}{space 3}0.460{col 58}{space 4}-18.90312{col 71}{space 3} 40.77871
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} -4.90445{col 30}{space 2} 32.21934{col 41}{space 1}   -0.15{col 50}{space 3}0.880{col 58}{space 4}-70.61623{col 71}{space 3} 60.80733
{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}   7.400
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0065
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.488
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  20.042
{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
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
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}20.041981

{txt}added scalar:
             e(mean_y) =  {res}-74.616509

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}annee {c |}{res}        462        1969           0       1969       1969
{txt}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(  9,    31) = {res}    4.68
{txt}{col 55}Prob > F      = {res}  0.0006
{txt}Total (centered) SS     = {res} 38796.24667{txt}{col 55}Centered R2   = {res}  0.0424
{txt}Total (uncentered) SS   = {res} 38796.24667{txt}{col 55}Uncentered R2 = {res}  0.0424
{txt}Residual SS             = {res} 37151.04545{txt}{col 55}Root MSE      = {res}   9.428

{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_aut_RM_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}-.5329086{col 30}{space 2}  .782953{col 41}{space 1}   -0.68{col 50}{space 3}0.501{col 58}{space 4}-2.129752{col 71}{space 3} 1.063935
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0337534{col 30}{space 2}   .17018{col 41}{space 1}   -0.20{col 50}{space 3}0.844{col 58}{space 4}-.3808377{col 71}{space 3}  .313331
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.1642098{col 30}{space 2} .2403625{col 41}{space 1}   -0.68{col 50}{space 3}0.500{col 58}{space 4}-.6544323{col 71}{space 3} .3260127
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .7251777{col 30}{space 2} .2187564{col 41}{space 1}    3.32{col 50}{space 3}0.002{col 58}{space 4} .2790212{col 71}{space 3} 1.171334
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}  4416.86{col 30}{space 2} 2826.456{col 41}{space 1}    1.56{col 50}{space 3}0.128{col 58}{space 4}-1347.735{col 71}{space 3} 10181.45
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-275.6734{col 30}{space 2} 1373.835{col 41}{space 1}   -0.20{col 50}{space 3}0.842{col 58}{space 4}-3077.627{col 71}{space 3} 2526.281
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-45.64085{col 30}{space 2} 29.29962{col 41}{space 1}   -1.56{col 50}{space 3}0.129{col 58}{space 4}-105.3978{col 71}{space 3} 14.11611
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 10.91116{col 30}{space 2} 10.74695{col 41}{space 1}    1.02{col 50}{space 3}0.318{col 58}{space 4} -11.0074{col 71}{space 3} 32.82971
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 2.815309{col 30}{space 2} 26.54719{col 41}{space 1}    0.11{col 50}{space 3}0.916{col 58}{space 4}-51.32804{col 71}{space 3} 56.95865
{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}   7.504
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0062
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  14.665
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  21.197
{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
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
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}21.197247

{txt}added scalar:
             e(mean_y) =  {res}61.309796

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}annee {c |}{res}        462        1969           0       1969       1969
{txt}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(  9,    31) = {res}    4.68
{txt}{col 55}Prob > F      = {res}  0.0006
{txt}Total (centered) SS     = {res} 38796.24667{txt}{col 55}Centered R2   = {res}  0.0424
{txt}Total (uncentered) SS   = {res} 38796.24667{txt}{col 55}Uncentered R2 = {res}  0.0424
{txt}Residual SS             = {res} 37151.04545{txt}{col 55}Root MSE      = {res}   9.428

{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_nat_RM_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}-.5329086{col 30}{space 2}  .782953{col 41}{space 1}   -0.68{col 50}{space 3}0.501{col 58}{space 4}-2.129752{col 71}{space 3} 1.063935
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0337534{col 30}{space 2}   .17018{col 41}{space 1}   -0.20{col 50}{space 3}0.844{col 58}{space 4}-.3808377{col 71}{space 3}  .313331
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.1642098{col 30}{space 2} .2403625{col 41}{space 1}   -0.68{col 50}{space 3}0.500{col 58}{space 4}-.6544323{col 71}{space 3} .3260127
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .7251777{col 30}{space 2} .2187564{col 41}{space 1}    3.32{col 50}{space 3}0.002{col 58}{space 4} .2790212{col 71}{space 3} 1.171334
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}  4416.86{col 30}{space 2} 2826.456{col 41}{space 1}    1.56{col 50}{space 3}0.128{col 58}{space 4}-1347.735{col 71}{space 3} 10181.45
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-275.6734{col 30}{space 2} 1373.835{col 41}{space 1}   -0.20{col 50}{space 3}0.842{col 58}{space 4}-3077.627{col 71}{space 3} 2526.281
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-45.64085{col 30}{space 2} 29.29962{col 41}{space 1}   -1.56{col 50}{space 3}0.129{col 58}{space 4}-105.3978{col 71}{space 3} 14.11611
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 10.91116{col 30}{space 2} 10.74695{col 41}{space 1}    1.02{col 50}{space 3}0.318{col 58}{space 4} -11.0074{col 71}{space 3} 32.82971
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 2.815309{col 30}{space 2} 26.54719{col 41}{space 1}    0.11{col 50}{space 3}0.916{col 58}{space 4}-51.32804{col 71}{space 3} 56.95865
{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}   7.504
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0062
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  14.665
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  21.197
{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
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
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}21.197247

{txt}added scalar:
             e(mean_y) =  {res}61.309796

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}annee {c |}{res}        462        1969           0       1969       1969
{txt}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(  9,    31) = {res}    4.68
{txt}{col 55}Prob > F      = {res}  0.0006
{txt}Total (centered) SS     = {res} 38796.24667{txt}{col 55}Centered R2   = {res}  0.0424
{txt}Total (uncentered) SS   = {res} 38796.24667{txt}{col 55}Uncentered R2 = {res}  0.0424
{txt}Residual SS             = {res} 37151.04545{txt}{col 55}Root MSE      = {res}   9.428

{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_rle_RM_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}-.5329086{col 30}{space 2}  .782953{col 41}{space 1}   -0.68{col 50}{space 3}0.501{col 58}{space 4}-2.129752{col 71}{space 3} 1.063935
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0337534{col 30}{space 2}   .17018{col 41}{space 1}   -0.20{col 50}{space 3}0.844{col 58}{space 4}-.3808377{col 71}{space 3}  .313331
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.1642098{col 30}{space 2} .2403625{col 41}{space 1}   -0.68{col 50}{space 3}0.500{col 58}{space 4}-.6544323{col 71}{space 3} .3260127
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .7251777{col 30}{space 2} .2187564{col 41}{space 1}    3.32{col 50}{space 3}0.002{col 58}{space 4} .2790212{col 71}{space 3} 1.171334
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}  4416.86{col 30}{space 2} 2826.456{col 41}{space 1}    1.56{col 50}{space 3}0.128{col 58}{space 4}-1347.735{col 71}{space 3} 10181.45
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-275.6734{col 30}{space 2} 1373.835{col 41}{space 1}   -0.20{col 50}{space 3}0.842{col 58}{space 4}-3077.627{col 71}{space 3} 2526.281
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-45.64085{col 30}{space 2} 29.29962{col 41}{space 1}   -1.56{col 50}{space 3}0.129{col 58}{space 4}-105.3978{col 71}{space 3} 14.11611
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 10.91116{col 30}{space 2} 10.74695{col 41}{space 1}    1.02{col 50}{space 3}0.318{col 58}{space 4} -11.0074{col 71}{space 3} 32.82971
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 2.815309{col 30}{space 2} 26.54719{col 41}{space 1}    0.11{col 50}{space 3}0.916{col 58}{space 4}-51.32804{col 71}{space 3} 56.95865
{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}   7.504
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0062
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  14.665
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  21.197
{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
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
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}21.197247

{txt}added scalar:
             e(mean_y) =  {res}61.309796

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}annee {c |}{res}        462        1969           0       1969       1969
{txt}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(  9,    31) = {res}    3.02
{txt}{col 55}Prob > F      = {res}  0.0105
{txt}Total (centered) SS     = {res} 31683.10012{txt}{col 55}Centered R2   = {res} -0.0991
{txt}Total (uncentered) SS   = {res} 31683.10012{txt}{col 55}Uncentered R2 = {res} -0.0991
{txt}Residual SS             = {res} 34822.75576{txt}{col 55}Root MSE      = {res}   9.127

{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_abs_RM_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} .9791913{col 30}{space 2} .7145721{col 41}{space 1}    1.37{col 50}{space 3}0.180{col 58}{space 4}-.4781881{col 71}{space 3} 2.436571
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0521976{col 30}{space 2} .1416445{col 41}{space 1}   -0.37{col 50}{space 3}0.715{col 58}{space 4}-.3410834{col 71}{space 3} .2366882
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0173416{col 30}{space 2} .2001064{col 41}{space 1}   -0.09{col 50}{space 3}0.931{col 58}{space 4}-.4254612{col 71}{space 3} .3907781
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.5868613{col 30}{space 2} .2077464{col 41}{space 1}   -2.82{col 50}{space 3}0.008{col 58}{space 4}-1.010563{col 71}{space 3}-.1631598
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-2381.933{col 30}{space 2} 2975.404{col 41}{space 1}   -0.80{col 50}{space 3}0.429{col 58}{space 4} -8450.31{col 71}{space 3} 3686.445
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-209.2323{col 30}{space 2} 1335.869{col 41}{space 1}   -0.16{col 50}{space 3}0.877{col 58}{space 4}-2933.754{col 71}{space 3}  2515.29
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 23.96569{col 30}{space 2}  31.0562{col 41}{space 1}    0.77{col 50}{space 3}0.446{col 58}{space 4}-39.37385{col 71}{space 3} 87.30523
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-11.91089{col 30}{space 2} 10.06571{col 41}{space 1}   -1.18{col 50}{space 3}0.246{col 58}{space 4}-32.44003{col 71}{space 3} 8.618253
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}  7.36407{col 30}{space 2} 26.10425{col 41}{space 1}    0.28{col 50}{space 3}0.780{col 58}{space 4} -45.8759{col 71}{space 3} 60.60404
{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}   7.504
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0062
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  14.665
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  21.197
{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
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
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}21.197247

{txt}added scalar:
             e(mean_y) =  {res}-67.50827

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}annee {c |}{res}        462        1974           0       1974       1974
{txt}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(  9,    31) = {res}    5.02
{txt}{col 55}Prob > F      = {res}  0.0003
{txt}Total (centered) SS     = {res} 39712.78236{txt}{col 55}Centered R2   = {res} -0.0365
{txt}Total (uncentered) SS   = {res} 39712.78236{txt}{col 55}Uncentered R2 = {res} -0.0365
{txt}Residual SS             = {res} 41162.90323{txt}{col 55}Root MSE      = {res}   9.923

{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_aut_RM_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} .9381943{col 30}{space 2} .8618723{col 41}{space 1}    1.09{col 50}{space 3}0.285{col 58}{space 4}-.8196059{col 71}{space 3} 2.695995
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.1343929{col 30}{space 2} .2231637{col 41}{space 1}   -0.60{col 50}{space 3}0.551{col 58}{space 4}-.5895383{col 71}{space 3} .3207524
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0066469{col 30}{space 2} .2412746{col 41}{space 1}   -0.03{col 50}{space 3}0.978{col 58}{space 4}-.4987296{col 71}{space 3} .4854359
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.1361749{col 30}{space 2} .2267407{col 41}{space 1}   -0.60{col 50}{space 3}0.552{col 58}{space 4}-.5986156{col 71}{space 3} .3262658
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-10856.24{col 30}{space 2} 4251.443{col 41}{space 1}   -2.55{col 50}{space 3}0.016{col 58}{space 4}-19527.11{col 71}{space 3}-2185.365
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-187.6736{col 30}{space 2} 1300.368{col 41}{space 1}   -0.14{col 50}{space 3}0.886{col 58}{space 4}-2839.793{col 71}{space 3} 2464.445
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 111.8763{col 30}{space 2} 44.23089{col 41}{space 1}    2.53{col 50}{space 3}0.017{col 58}{space 4} 21.66677{col 71}{space 3} 202.0857
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 28.27137{col 30}{space 2}  7.93719{col 41}{space 1}    3.56{col 50}{space 3}0.001{col 58}{space 4} 12.08336{col 71}{space 3} 44.45937
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-4.534645{col 30}{space 2} 26.82065{col 41}{space 1}   -0.17{col 50}{space 3}0.867{col 58}{space 4}-59.23573{col 71}{space 3} 50.16644
{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}   7.475
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0063
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  15.198
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  22.626
{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
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
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}22.62604

{txt}added scalar:
             e(mean_y) =  {res}-56.347567

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}annee {c |}{res}        462        1974           0       1974       1974
{txt}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(  9,    31) = {res}    2.03
{txt}{col 55}Prob > F      = {res}  0.0692
{txt}Total (centered) SS     = {res} 10728.00688{txt}{col 55}Centered R2   = {res} -0.1253
{txt}Total (uncentered) SS   = {res} 10728.00688{txt}{col 55}Uncentered R2 = {res} -0.1253
{txt}Residual SS             = {res} 12072.65983{txt}{col 55}Root MSE      = {res}   5.374

{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_nat_RM_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} .7130886{col 30}{space 2} .3739009{col 41}{space 1}    1.91{col 50}{space 3}0.066{col 58}{space 4}-.0494873{col 71}{space 3} 1.475664
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0655661{col 30}{space 2} .0848601{col 41}{space 1}   -0.77{col 50}{space 3}0.446{col 58}{space 4}-.2386393{col 71}{space 3} .1075071
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0801438{col 30}{space 2}  .173695{col 41}{space 1}   -0.46{col 50}{space 3}0.648{col 58}{space 4}-.4343972{col 71}{space 3} .2741096
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.1079235{col 30}{space 2} .1558312{col 41}{space 1}   -0.69{col 50}{space 3}0.494{col 58}{space 4}-.4257434{col 71}{space 3} .2098964
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-2832.942{col 30}{space 2} 1747.955{col 41}{space 1}   -1.62{col 50}{space 3}0.115{col 58}{space 4} -6397.92{col 71}{space 3} 732.0357
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1071.491{col 30}{space 2} 769.0426{col 41}{space 1}   -1.39{col 50}{space 3}0.173{col 58}{space 4}-2639.964{col 71}{space 3} 496.9813
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 27.42146{col 30}{space 2} 17.78867{col 41}{space 1}    1.54{col 50}{space 3}0.133{col 58}{space 4}-8.858775{col 71}{space 3} 63.70169
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-5.382999{col 30}{space 2} 4.517553{col 41}{space 1}   -1.19{col 50}{space 3}0.242{col 58}{space 4}-14.59661{col 71}{space 3}  3.83061
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 23.41492{col 30}{space 2}   15.331{col 41}{space 1}    1.53{col 50}{space 3}0.137{col 58}{space 4}-7.852859{col 71}{space 3}  54.6827
{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}   7.475
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0063
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  15.198
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  22.626
{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
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
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}22.62604

{txt}added scalar:
             e(mean_y) =  {res}-79.2937

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}annee {c |}{res}        462        1974           0       1974       1974
{txt}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(  9,    31) = {res}    5.02
{txt}{col 55}Prob > F      = {res}  0.0003
{txt}Total (centered) SS     = {res} 39712.78236{txt}{col 55}Centered R2   = {res} -0.0365
{txt}Total (uncentered) SS   = {res} 39712.78236{txt}{col 55}Uncentered R2 = {res} -0.0365
{txt}Residual SS             = {res} 41162.90323{txt}{col 55}Root MSE      = {res}   9.923

{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_rle_RM_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} .9381943{col 30}{space 2} .8618723{col 41}{space 1}    1.09{col 50}{space 3}0.285{col 58}{space 4}-.8196059{col 71}{space 3} 2.695995
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.1343929{col 30}{space 2} .2231637{col 41}{space 1}   -0.60{col 50}{space 3}0.551{col 58}{space 4}-.5895383{col 71}{space 3} .3207524
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0066469{col 30}{space 2} .2412746{col 41}{space 1}   -0.03{col 50}{space 3}0.978{col 58}{space 4}-.4987296{col 71}{space 3} .4854359
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.1361749{col 30}{space 2} .2267407{col 41}{space 1}   -0.60{col 50}{space 3}0.552{col 58}{space 4}-.5986156{col 71}{space 3} .3262658
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-10856.24{col 30}{space 2} 4251.443{col 41}{space 1}   -2.55{col 50}{space 3}0.016{col 58}{space 4}-19527.11{col 71}{space 3}-2185.365
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-187.6736{col 30}{space 2} 1300.368{col 41}{space 1}   -0.14{col 50}{space 3}0.886{col 58}{space 4}-2839.793{col 71}{space 3} 2464.445
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 111.8763{col 30}{space 2} 44.23089{col 41}{space 1}    2.53{col 50}{space 3}0.017{col 58}{space 4} 21.66677{col 71}{space 3} 202.0857
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 28.27137{col 30}{space 2}  7.93719{col 41}{space 1}    3.56{col 50}{space 3}0.001{col 58}{space 4} 12.08336{col 71}{space 3} 44.45937
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-4.534645{col 30}{space 2} 26.82065{col 41}{space 1}   -0.17{col 50}{space 3}0.867{col 58}{space 4}-59.23573{col 71}{space 3} 50.16644
{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}   7.475
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0063
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  15.198
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  22.626
{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
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
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}22.62604

{txt}added scalar:
             e(mean_y) =  {res}-56.347567

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}annee {c |}{res}        462        1974           0       1974       1974
{txt}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(  9,    31) = {res}    3.61
{txt}{col 55}Prob > F      = {res}  0.0036
{txt}Total (centered) SS     = {res} 17217.15179{txt}{col 55}Centered R2   = {res} -1.5337
{txt}Total (uncentered) SS   = {res} 17217.15179{txt}{col 55}Uncentered R2 = {res} -1.5337
{txt}Residual SS             = {res} 43623.61883{txt}{col 55}Root MSE      = {res}   10.22

{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_abs_RM_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} 2.851972{col 30}{space 2} .7107995{col 41}{space 1}    4.01{col 50}{space 3}0.000{col 58}{space 4} 1.402287{col 71}{space 3} 4.301657
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.1664069{col 30}{space 2} .1502681{col 41}{space 1}   -1.11{col 50}{space 3}0.277{col 58}{space 4}-.4728807{col 71}{space 3}  .140067
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.2167694{col 30}{space 2} .3259839{col 41}{space 1}   -0.66{col 50}{space 3}0.511{col 58}{space 4}-.8816181{col 71}{space 3} .4480792
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.1984667{col 30}{space 2} .2909337{col 41}{space 1}   -0.68{col 50}{space 3}0.500{col 58}{space 4}-.7918299{col 71}{space 3} .3948966
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 2260.109{col 30}{space 2} 3018.166{col 41}{space 1}    0.75{col 50}{space 3}0.460{col 58}{space 4}-3895.482{col 71}{space 3} 8415.701
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} -945.714{col 30}{space 2} 1768.306{col 41}{space 1}   -0.53{col 50}{space 3}0.597{col 58}{space 4}-4552.197{col 71}{space 3} 2660.769
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-24.85227{col 30}{space 2} 30.12586{col 41}{space 1}   -0.82{col 50}{space 3}0.416{col 58}{space 4}-86.29437{col 71}{space 3} 36.58984
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-16.70629{col 30}{space 2} 10.85211{col 41}{space 1}   -1.54{col 50}{space 3}0.134{col 58}{space 4}-38.83932{col 71}{space 3} 5.426736
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 23.89071{col 30}{space 2} 35.54162{col 41}{space 1}    0.67{col 50}{space 3}0.506{col 58}{space 4}-48.59691{col 71}{space 3} 96.37832
{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}   7.475
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0063
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  15.198
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  22.626
{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
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
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}22.62604

{txt}added scalar:
             e(mean_y) =  {res}-76.501009

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}annee {c |}{res}        462        1995           0       1995       1995
{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(  9,    31) = {res}    1.70
{txt}{col 55}Prob > F      = {res}  0.1322
{txt}Total (centered) SS     = {res} 37713.62168{txt}{col 55}Centered R2   = {res} -0.2443
{txt}Total (uncentered) SS   = {res} 37713.62168{txt}{col 55}Uncentered R2 = {res} -0.2443
{txt}Residual SS             = {res} 46926.80631{txt}{col 55}Root MSE      = {res}   10.61

{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_aut_RM_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} 1.871004{col 30}{space 2} .6665607{col 41}{space 1}    2.81{col 50}{space 3}0.009{col 58}{space 4} .5115448{col 71}{space 3} 3.230464
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}  .125072{col 30}{space 2} .2112214{col 41}{space 1}    0.59{col 50}{space 3}0.558{col 58}{space 4}-.3057168{col 71}{space 3} .5558608
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0143439{col 30}{space 2} .4116652{col 41}{space 1}   -0.03{col 50}{space 3}0.972{col 58}{space 4}-.8539406{col 71}{space 3} .8252529
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.2624954{col 30}{space 2} .2373489{col 41}{space 1}   -1.11{col 50}{space 3}0.277{col 58}{space 4}-.7465716{col 71}{space 3} .2215809
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 1048.039{col 30}{space 2} 4494.292{col 41}{space 1}    0.23{col 50}{space 3}0.817{col 58}{space 4} -8118.13{col 71}{space 3} 10214.21
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-3510.469{col 30}{space 2} 1741.171{col 41}{space 1}   -2.02{col 50}{space 3}0.053{col 58}{space 4}-7061.612{col 71}{space 3} 40.67342
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-16.28325{col 30}{space 2}  45.8149{col 41}{space 1}   -0.36{col 50}{space 3}0.725{col 58}{space 4}-109.7234{col 71}{space 3} 77.15686
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-8.897546{col 30}{space 2} 12.85669{col 41}{space 1}   -0.69{col 50}{space 3}0.494{col 58}{space 4}-35.11893{col 71}{space 3} 17.32384
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 73.69698{col 30}{space 2} 35.08199{col 41}{space 1}    2.10{col 50}{space 3}0.044{col 58}{space 4}  2.14678{col 71}{space 3} 145.2472
{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}   7.803
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0052
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  14.274
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  23.520
{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
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
{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}23.520374

{txt}added scalar:
             e(mean_y) =  {res}-28.164661

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}annee {c |}{res}        462        1995           0       1995       1995
{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(  9,    31) = {res}    1.70
{txt}{col 55}Prob > F      = {res}  0.1322
{txt}Total (centered) SS     = {res} 37713.62168{txt}{col 55}Centered R2   = {res} -0.2443
{txt}Total (uncentered) SS   = {res} 37713.62168{txt}{col 55}Uncentered R2 = {res} -0.2443
{txt}Residual SS             = {res} 46926.80631{txt}{col 55}Root MSE      = {res}   10.61

{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_nat_RM_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} 1.871004{col 30}{space 2} .6665607{col 41}{space 1}    2.81{col 50}{space 3}0.009{col 58}{space 4} .5115448{col 71}{space 3} 3.230464
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}  .125072{col 30}{space 2} .2112214{col 41}{space 1}    0.59{col 50}{space 3}0.558{col 58}{space 4}-.3057168{col 71}{space 3} .5558608
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0143439{col 30}{space 2} .4116652{col 41}{space 1}   -0.03{col 50}{space 3}0.972{col 58}{space 4}-.8539406{col 71}{space 3} .8252529
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.2624954{col 30}{space 2} .2373489{col 41}{space 1}   -1.11{col 50}{space 3}0.277{col 58}{space 4}-.7465716{col 71}{space 3} .2215809
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 1048.039{col 30}{space 2} 4494.292{col 41}{space 1}    0.23{col 50}{space 3}0.817{col 58}{space 4} -8118.13{col 71}{space 3} 10214.21
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-3510.469{col 30}{space 2} 1741.171{col 41}{space 1}   -2.02{col 50}{space 3}0.053{col 58}{space 4}-7061.612{col 71}{space 3} 40.67342
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-16.28325{col 30}{space 2}  45.8149{col 41}{space 1}   -0.36{col 50}{space 3}0.725{col 58}{space 4}-109.7234{col 71}{space 3} 77.15686
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-8.897546{col 30}{space 2} 12.85669{col 41}{space 1}   -0.69{col 50}{space 3}0.494{col 58}{space 4}-35.11893{col 71}{space 3} 17.32384
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 73.69698{col 30}{space 2} 35.08199{col 41}{space 1}    2.10{col 50}{space 3}0.044{col 58}{space 4}  2.14678{col 71}{space 3} 145.2472
{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}   7.803
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0052
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  14.274
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  23.520
{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
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
{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}23.520374

{txt}added scalar:
             e(mean_y) =  {res}-28.164661

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}annee {c |}{res}        462        1995           0       1995       1995
{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(  9,    31) = {res}    2.81
{txt}{col 55}Prob > F      = {res}  0.0154
{txt}Total (centered) SS     = {res} 44657.87202{txt}{col 55}Centered R2   = {res} -0.6299
{txt}Total (uncentered) SS   = {res} 44657.87202{txt}{col 55}Uncentered R2 = {res} -0.6299
{txt}Residual SS             = {res} 72789.00084{txt}{col 55}Root MSE      = {res}   13.21

{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_rle_RM_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} 2.264783{col 30}{space 2} .7907756{col 41}{space 1}    2.86{col 50}{space 3}0.007{col 58}{space 4} .6519855{col 71}{space 3}  3.87758
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0719903{col 30}{space 2} .1935741{col 41}{space 1}   -0.37{col 50}{space 3}0.712{col 58}{space 4}-.4667872{col 71}{space 3} .3228066
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.1690643{col 30}{space 2} .4292876{col 41}{space 1}   -0.39{col 50}{space 3}0.696{col 58}{space 4}-1.044602{col 71}{space 3} .7064735
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0127142{col 30}{space 2} .4671349{col 41}{space 1}   -0.03{col 50}{space 3}0.978{col 58}{space 4}-.9654421{col 71}{space 3} .9400136
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}  2684.29{col 30}{space 2} 4951.435{col 41}{space 1}    0.54{col 50}{space 3}0.592{col 58}{space 4}-7414.229{col 71}{space 3} 12782.81
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 855.4974{col 30}{space 2} 2203.721{col 41}{space 1}    0.39{col 50}{space 3}0.701{col 58}{space 4}-3639.022{col 71}{space 3} 5350.017
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-26.82266{col 30}{space 2} 49.93066{col 41}{space 1}   -0.54{col 50}{space 3}0.595{col 58}{space 4}-128.6569{col 71}{space 3} 75.01159
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-30.55316{col 30}{space 2} 16.12292{col 41}{space 1}   -1.90{col 50}{space 3}0.067{col 58}{space 4}-63.43607{col 71}{space 3} 2.329763
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-8.760593{col 30}{space 2} 42.81233{col 41}{space 1}   -0.20{col 50}{space 3}0.839{col 58}{space 4}-96.07692{col 71}{space 3} 78.55574
{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}   7.803
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0052
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  14.274
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  23.520
{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
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
{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}23.520374

{txt}added scalar:
             e(mean_y) =  {res}6.2482063

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}annee {c |}{res}        462        1995           0       1995       1995
{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(  9,    31) = {res}    1.24
{txt}{col 55}Prob > F      = {res}  0.3085
{txt}Total (centered) SS     = {res} 8427.942676{txt}{col 55}Centered R2   = {res} -0.2328
{txt}Total (uncentered) SS   = {res} 8427.942676{txt}{col 55}Uncentered R2 = {res} -0.2328
{txt}Residual SS             = {res} 10390.29634{txt}{col 55}Root MSE      = {res}   4.992

{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_abs_RM_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}-.6157444{col 30}{space 2} .2625999{col 41}{space 1}   -2.34{col 50}{space 3}0.026{col 58}{space 4}-1.151321{col 71}{space 3}-.0801684
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}  .054764{col 30}{space 2} .0712971{col 41}{space 1}    0.77{col 50}{space 3}0.448{col 58}{space 4}-.0906475{col 71}{space 3} .2001754
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .1560512{col 30}{space 2} .1451362{col 41}{space 1}    1.08{col 50}{space 3}0.291{col 58}{space 4}-.1399561{col 71}{space 3} .4520585
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.1112178{col 30}{space 2} .1020922{col 41}{space 1}   -1.09{col 50}{space 3}0.284{col 58}{space 4}-.3194361{col 71}{space 3} .0970006
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-2445.055{col 30}{space 2} 2502.085{col 41}{space 1}   -0.98{col 50}{space 3}0.336{col 58}{space 4}-7548.091{col 71}{space 3}  2657.98
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-50.76983{col 30}{space 2} 787.9899{col 41}{space 1}   -0.06{col 50}{space 3}0.949{col 58}{space 4}-1657.886{col 71}{space 3} 1556.346
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 25.03134{col 30}{space 2} 24.98006{col 41}{space 1}    1.00{col 50}{space 3}0.324{col 58}{space 4}-25.91583{col 71}{space 3} 75.97851
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} .5277553{col 30}{space 2} 4.981537{col 41}{space 1}    0.11{col 50}{space 3}0.916{col 58}{space 4}-9.632156{col 71}{space 3} 10.68767
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 1.004516{col 30}{space 2} 16.02506{col 41}{space 1}    0.06{col 50}{space 3}0.950{col 58}{space 4}-31.67881{col 71}{space 3} 33.68785
{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}   7.803
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0052
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  14.274
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  23.520
{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
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
{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}23.520374

{txt}added scalar:
             e(mean_y) =  {res}-75.162461

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}annee {c |}{res}        462        2002           0       2002       2002
{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(  9,    31) = {res}    2.71
{txt}{col 55}Prob > F      = {res}  0.0187
{txt}Total (centered) SS     = {res} 26519.82623{txt}{col 55}Centered R2   = {res} -0.2954
{txt}Total (uncentered) SS   = {res} 26519.82623{txt}{col 55}Uncentered R2 = {res} -0.2954
{txt}Residual SS             = {res} 34354.48679{txt}{col 55}Root MSE      = {res}   9.077

{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_aut_RM_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}-1.426715{col 30}{space 2}  .564933{col 41}{space 1}   -2.53{col 50}{space 3}0.017{col 58}{space 4}-2.578903{col 71}{space 3}-.2745262
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.1510881{col 30}{space 2} .1879214{col 41}{space 1}   -0.80{col 50}{space 3}0.428{col 58}{space 4}-.5343564{col 71}{space 3} .2321802
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.2230247{col 30}{space 2} .2969338{col 41}{space 1}   -0.75{col 50}{space 3}0.458{col 58}{space 4}-.8286253{col 71}{space 3} .3825758
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0247375{col 30}{space 2} .2916766{col 41}{space 1}    0.08{col 50}{space 3}0.933{col 58}{space 4}-.5701409{col 71}{space 3} .6196159
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 4191.784{col 30}{space 2} 3014.748{col 41}{space 1}    1.39{col 50}{space 3}0.174{col 58}{space 4}-1956.835{col 71}{space 3}  10340.4
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 898.3025{col 30}{space 2} 1857.238{col 41}{space 1}    0.48{col 50}{space 3}0.632{col 58}{space 4}-2889.559{col 71}{space 3} 4686.164
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-41.54586{col 30}{space 2} 29.52802{col 41}{space 1}   -1.41{col 50}{space 3}0.169{col 58}{space 4}-101.7686{col 71}{space 3} 18.67693
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 1.035245{col 30}{space 2} 10.90534{col 41}{space 1}    0.09{col 50}{space 3}0.925{col 58}{space 4}-21.20635{col 71}{space 3} 23.27684
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-18.70984{col 30}{space 2} 38.16844{col 41}{space 1}   -0.49{col 50}{space 3}0.627{col 58}{space 4} -96.5549{col 71}{space 3} 59.13521
{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}   7.830
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0051
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.483
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  20.848
{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
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
{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}20.848196

{txt}added scalar:
             e(mean_y) =  {res}-36.913567

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}annee {c |}{res}        462        2002           0       2002       2002
{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(  9,    31) = {res}    2.83
{txt}{col 55}Prob > F      = {res}  0.0148
{txt}Total (centered) SS     = {res} 30442.24744{txt}{col 55}Centered R2   = {res}  0.0485
{txt}Total (uncentered) SS   = {res} 30442.24744{txt}{col 55}Uncentered R2 = {res}  0.0485
{txt}Residual SS             = {res} 28965.30487{txt}{col 55}Root MSE      = {res}   8.334

{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_nat_RM_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}  .471874{col 30}{space 2} .7262663{col 41}{space 1}    0.65{col 50}{space 3}0.521{col 58}{space 4}-1.009356{col 71}{space 3} 1.953104
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .1479884{col 30}{space 2} .1661714{col 41}{space 1}    0.89{col 50}{space 3}0.380{col 58}{space 4}-.1909205{col 71}{space 3} .4868972
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .1676651{col 30}{space 2} .2240141{col 41}{space 1}    0.75{col 50}{space 3}0.460{col 58}{space 4}-.2892147{col 71}{space 3} .6245448
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.3481506{col 30}{space 2} .1837575{col 41}{space 1}   -1.89{col 50}{space 3}0.068{col 58}{space 4}-.7229265{col 71}{space 3} .0266253
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-3105.217{col 30}{space 2} 3707.944{col 41}{space 1}   -0.84{col 50}{space 3}0.409{col 58}{space 4}-10667.62{col 71}{space 3} 4457.185
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-3614.313{col 30}{space 2} 1856.317{col 41}{space 1}   -1.95{col 50}{space 3}0.061{col 58}{space 4}-7400.296{col 71}{space 3} 171.6697
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 26.50316{col 30}{space 2} 38.07673{col 41}{space 1}    0.70{col 50}{space 3}0.492{col 58}{space 4}-51.15484{col 71}{space 3} 104.1612
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 9.316908{col 30}{space 2} 13.88212{col 41}{space 1}    0.67{col 50}{space 3}0.507{col 58}{space 4}-18.99586{col 71}{space 3} 37.62968
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 70.83992{col 30}{space 2} 36.98153{col 41}{space 1}    1.92{col 50}{space 3}0.065{col 58}{space 4}-4.584417{col 71}{space 3} 146.2643
{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}   7.830
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0051
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.483
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  20.848
{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
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
{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}20.848196

{txt}added scalar:
             e(mean_y) =  {res}-22.411216

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}annee {c |}{res}        462        2002           0       2002       2002
{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(  9,    31) = {res}    2.83
{txt}{col 55}Prob > F      = {res}  0.0148
{txt}Total (centered) SS     = {res} 30442.24744{txt}{col 55}Centered R2   = {res}  0.0485
{txt}Total (uncentered) SS   = {res} 30442.24744{txt}{col 55}Uncentered R2 = {res}  0.0485
{txt}Residual SS             = {res} 28965.30487{txt}{col 55}Root MSE      = {res}   8.334

{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_rle_RM_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}  .471874{col 30}{space 2} .7262663{col 41}{space 1}    0.65{col 50}{space 3}0.521{col 58}{space 4}-1.009356{col 71}{space 3} 1.953104
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .1479884{col 30}{space 2} .1661714{col 41}{space 1}    0.89{col 50}{space 3}0.380{col 58}{space 4}-.1909205{col 71}{space 3} .4868972
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .1676651{col 30}{space 2} .2240141{col 41}{space 1}    0.75{col 50}{space 3}0.460{col 58}{space 4}-.2892147{col 71}{space 3} .6245448
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.3481506{col 30}{space 2} .1837575{col 41}{space 1}   -1.89{col 50}{space 3}0.068{col 58}{space 4}-.7229265{col 71}{space 3} .0266253
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-3105.217{col 30}{space 2} 3707.944{col 41}{space 1}   -0.84{col 50}{space 3}0.409{col 58}{space 4}-10667.62{col 71}{space 3} 4457.185
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-3614.313{col 30}{space 2} 1856.317{col 41}{space 1}   -1.95{col 50}{space 3}0.061{col 58}{space 4}-7400.296{col 71}{space 3} 171.6697
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 26.50316{col 30}{space 2} 38.07673{col 41}{space 1}    0.70{col 50}{space 3}0.492{col 58}{space 4}-51.15484{col 71}{space 3} 104.1612
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 9.316908{col 30}{space 2} 13.88212{col 41}{space 1}    0.67{col 50}{space 3}0.507{col 58}{space 4}-18.99586{col 71}{space 3} 37.62968
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 70.83992{col 30}{space 2} 36.98153{col 41}{space 1}    1.92{col 50}{space 3}0.065{col 58}{space 4}-4.584417{col 71}{space 3} 146.2643
{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}   7.830
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0051
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.483
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  20.848
{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
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
{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}20.848196

{txt}added scalar:
             e(mean_y) =  {res}-22.411216

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}annee {c |}{res}        462        2002           0       2002       2002
{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(  9,    31) = {res}    3.48
{txt}{col 55}Prob > F      = {res}  0.0045
{txt}Total (centered) SS     = {res} 12174.82255{txt}{col 55}Centered R2   = {res} -0.8127
{txt}Total (uncentered) SS   = {res} 12174.82255{txt}{col 55}Uncentered R2 = {res} -0.8127
{txt}Residual SS             = {res}  22069.3038{txt}{col 55}Root MSE      = {res}   7.275

{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_abs_RM_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}-1.296643{col 30}{space 2} .3790682{col 41}{space 1}   -3.42{col 50}{space 3}0.002{col 58}{space 4}-2.069758{col 71}{space 3}-.5235287
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .1010296{col 30}{space 2} .1373037{col 41}{space 1}    0.74{col 50}{space 3}0.467{col 58}{space 4}-.1790032{col 71}{space 3} .3810624
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .1735202{col 30}{space 2} .1887127{col 41}{space 1}    0.92{col 50}{space 3}0.365{col 58}{space 4}-.2113618{col 71}{space 3} .5584022
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0518779{col 30}{space 2} .2093251{col 41}{space 1}    0.25{col 50}{space 3}0.806{col 58}{space 4}-.3750435{col 71}{space 3} .4787993
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-2081.246{col 30}{space 2} 2518.396{col 41}{space 1}   -0.83{col 50}{space 3}0.415{col 58}{space 4}-7217.549{col 71}{space 3} 3055.056
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-460.1765{col 30}{space 2} 1147.567{col 41}{space 1}   -0.40{col 50}{space 3}0.691{col 58}{space 4}-2800.655{col 71}{space 3} 1880.302
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 20.74843{col 30}{space 2} 25.09401{col 41}{space 1}    0.83{col 50}{space 3}0.415{col 58}{space 4}-30.43114{col 71}{space 3} 71.92801
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-2.162826{col 30}{space 2} 8.011608{col 41}{space 1}   -0.27{col 50}{space 3}0.789{col 58}{space 4}-18.50261{col 71}{space 3} 14.17696
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 10.17081{col 30}{space 2} 23.08336{col 41}{space 1}    0.44{col 50}{space 3}0.663{col 58}{space 4}-36.90802{col 71}{space 3} 57.24964
{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}   7.830
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0051
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  13.483
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  20.848
{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
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
{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}20.848196

{txt}added scalar:
             e(mean_y) =  {res}-64.58926

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}annee {c |}{res}        462        2007           0       2007       2007
{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(  9,    31) = {res}    6.04
{txt}{col 55}Prob > F      = {res}  0.0001
{txt}Total (centered) SS     = {res} 43591.04681{txt}{col 55}Centered R2   = {res}  0.0541
{txt}Total (uncentered) SS   = {res} 43591.04681{txt}{col 55}Uncentered R2 = {res}  0.0541
{txt}Residual SS             = {res} 41233.88423{txt}{col 55}Root MSE      = {res}   9.944

{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_aut_RM_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}-.0565267{col 30}{space 2} .5157815{col 41}{space 1}   -0.11{col 50}{space 3}0.913{col 58}{space 4} -1.10847{col 71}{space 3} .9954166
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.1597081{col 30}{space 2} .1646167{col 41}{space 1}   -0.97{col 50}{space 3}0.339{col 58}{space 4} -.495446{col 71}{space 3} .1760298
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} -.181488{col 30}{space 2} .3223775{col 41}{space 1}   -0.56{col 50}{space 3}0.578{col 58}{space 4}-.8389811{col 71}{space 3} .4760052
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .2628128{col 30}{space 2} .2671411{col 41}{space 1}    0.98{col 50}{space 3}0.333{col 58}{space 4} -.282025{col 71}{space 3} .8076506
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 7806.492{col 30}{space 2} 3973.686{col 41}{space 1}    1.96{col 50}{space 3}0.058{col 58}{space 4}-297.8945{col 71}{space 3} 15910.88
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} 1557.345{col 30}{space 2}  1635.25{col 41}{space 1}    0.95{col 50}{space 3}0.348{col 58}{space 4}-1777.768{col 71}{space 3} 4892.459
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-77.51919{col 30}{space 2} 39.61938{col 41}{space 1}   -1.96{col 50}{space 3}0.059{col 58}{space 4}-158.3234{col 71}{space 3} 3.285071
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 22.41175{col 30}{space 2} 13.78452{col 41}{space 1}    1.63{col 50}{space 3}0.114{col 58}{space 4}-5.701972{col 71}{space 3} 50.52547
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-38.44951{col 30}{space 2} 31.02959{col 41}{space 1}   -1.24{col 50}{space 3}0.225{col 58}{space 4}-101.7348{col 71}{space 3} 24.83576
{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}   8.606
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0034
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  15.019
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  28.007
{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
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
{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}28.006617

{txt}added scalar:
             e(mean_y) =  {res}-4.1789237

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}annee {c |}{res}        462        2007           0       2007       2007
{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(  9,    31) = {res}    2.77
{txt}{col 55}Prob > F      = {res}  0.0167
{txt}Total (centered) SS     = {res} 31386.63561{txt}{col 55}Centered R2   = {res}  0.0983
{txt}Total (uncentered) SS   = {res} 31386.63561{txt}{col 55}Uncentered R2 = {res}  0.0983
{txt}Residual SS             = {res}  28302.2011{txt}{col 55}Root MSE      = {res}   8.238

{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_nat_RM_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} .3272776{col 30}{space 2} .4582361{col 41}{space 1}    0.71{col 50}{space 3}0.480{col 58}{space 4}-.6073011{col 71}{space 3} 1.261856
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .1861999{col 30}{space 2}  .146342{col 41}{space 1}    1.27{col 50}{space 3}0.213{col 58}{space 4}-.1122665{col 71}{space 3} .4846664
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0202065{col 30}{space 2} .2175566{col 41}{space 1}    0.09{col 50}{space 3}0.927{col 58}{space 4} -.423503{col 71}{space 3} .4639161
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.3066775{col 30}{space 2} .2081012{col 41}{space 1}   -1.47{col 50}{space 3}0.151{col 58}{space 4}-.7311027{col 71}{space 3} .1177477
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-6193.315{col 30}{space 2} 2858.683{col 41}{space 1}   -2.17{col 50}{space 3}0.038{col 58}{space 4}-12023.64{col 71}{space 3}-362.9926
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} -3186.11{col 30}{space 2} 1236.068{col 41}{space 1}   -2.58{col 50}{space 3}0.015{col 58}{space 4}-5707.088{col 71}{space 3} -665.132
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 59.14503{col 30}{space 2} 28.97745{col 41}{space 1}    2.04{col 50}{space 3}0.050{col 58}{space 4} .0451282{col 71}{space 3} 118.2449
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 12.13115{col 30}{space 2} 9.197365{col 41}{space 1}    1.32{col 50}{space 3}0.197{col 58}{space 4}-6.626996{col 71}{space 3}  30.8893
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 61.32351{col 30}{space 2}  24.6611{col 41}{space 1}    2.49{col 50}{space 3}0.018{col 58}{space 4} 11.02685{col 71}{space 3} 111.6202
{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}   8.606
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0034
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  15.019
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  28.007
{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
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
{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}28.006617

{txt}added scalar:
             e(mean_y) =  {res}-49.185006

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}annee {c |}{res}        462        2007           0       2007       2007
{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(  9,    31) = {res}    2.96
{txt}{col 55}Prob > F      = {res}  0.0116
{txt}Total (centered) SS     = {res} 43517.27792{txt}{col 55}Centered R2   = {res} -0.3524
{txt}Total (uncentered) SS   = {res} 43517.27792{txt}{col 55}Uncentered R2 = {res} -0.3524
{txt}Residual SS             = {res} 58851.77443{txt}{col 55}Root MSE      = {res}   11.88

{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_rle_RM_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} 1.760972{col 30}{space 2} .5071001{col 41}{space 1}    3.47{col 50}{space 3}0.002{col 58}{space 4} .7267349{col 71}{space 3}  2.79521
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.0702204{col 30}{space 2} .1817666{col 41}{space 1}   -0.39{col 50}{space 3}0.702{col 58}{space 4}-.4409359{col 71}{space 3} .3004951
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.3338239{col 30}{space 2} .3381507{col 41}{space 1}   -0.99{col 50}{space 3}0.331{col 58}{space 4}-1.023487{col 71}{space 3} .3558391
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .2103117{col 30}{space 2} .3306707{col 41}{space 1}    0.64{col 50}{space 3}0.529{col 58}{space 4}-.4640956{col 71}{space 3} .8847191
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 8442.133{col 30}{space 2} 4372.779{col 41}{space 1}    1.93{col 50}{space 3}0.063{col 58}{space 4}-476.2095{col 71}{space 3} 17360.47
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-1929.938{col 30}{space 2} 1542.758{col 41}{space 1}   -1.25{col 50}{space 3}0.220{col 58}{space 4}-5076.414{col 71}{space 3} 1216.537
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-89.28454{col 30}{space 2} 44.94661{col 41}{space 1}   -1.99{col 50}{space 3}0.056{col 58}{space 4}-180.9538{col 71}{space 3} 2.384675
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 18.54287{col 30}{space 2} 15.89296{col 41}{space 1}    1.17{col 50}{space 3}0.252{col 58}{space 4}-13.87103{col 71}{space 3} 50.95677
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 33.43448{col 30}{space 2} 29.88158{col 41}{space 1}    1.12{col 50}{space 3}0.272{col 58}{space 4} -27.5094{col 71}{space 3} 94.37837
{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}   8.606
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0034
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  15.019
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  28.007
{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
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
{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}28.006617

{txt}added scalar:
             e(mean_y) =  {res}3.7057449

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}annee {c |}{res}        462        2007           0       2007       2007
{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(  9,    31) = {res}    1.57
{txt}{col 55}Prob > F      = {res}  0.1679
{txt}Total (centered) SS     = {res}  9505.57648{txt}{col 55}Centered R2   = {res}  0.0203
{txt}Total (uncentered) SS   = {res}  9505.57648{txt}{col 55}Uncentered R2 = {res}  0.0203
{txt}Residual SS             = {res} 9312.586967{txt}{col 55}Root MSE      = {res}   4.726

{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_abs_RM_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}-.0802744{col 30}{space 2} .3131796{col 41}{space 1}   -0.26{col 50}{space 3}0.799{col 58}{space 4}-.7190085{col 71}{space 3} .5584596
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .0608117{col 30}{space 2} .0761412{col 41}{space 1}    0.80{col 50}{space 3}0.431{col 58}{space 4}-.0944792{col 71}{space 3} .2161027
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0719055{col 30}{space 2} .1746169{col 41}{space 1}    0.41{col 50}{space 3}0.683{col 58}{space 4}-.2842281{col 71}{space 3} .4280391
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0985474{col 30}{space 2} .1210743{col 41}{space 1}   -0.81{col 50}{space 3}0.422{col 58}{space 4}  -.34548{col 71}{space 3} .1483851
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-3464.898{col 30}{space 2} 2243.862{col 41}{space 1}   -1.54{col 50}{space 3}0.133{col 58}{space 4}-8041.284{col 71}{space 3} 1111.488
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2} -1208.11{col 30}{space 2} 747.4992{col 41}{space 1}   -1.62{col 50}{space 3}0.116{col 58}{space 4}-2732.644{col 71}{space 3} 316.4251
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 33.97372{col 30}{space 2}  22.9465{col 41}{space 1}    1.48{col 50}{space 3}0.149{col 58}{space 4}-12.82598{col 71}{space 3} 80.77341
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 9.565432{col 30}{space 2} 3.507357{col 41}{space 1}    2.73{col 50}{space 3}0.010{col 58}{space 4}  2.41213{col 71}{space 3} 16.71873
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 21.92238{col 30}{space 2} 14.74358{col 41}{space 1}    1.49{col 50}{space 3}0.147{col 58}{space 4}-8.147353{col 71}{space 3} 51.99211
{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}   8.606
{txt}{col 52}Chi-sq({res}1{txt}) P-val =  {res}{col 73}0.0034
{txt}{hline 78}
{help ivreg2##widtest:Weak identification test} (Cragg-Donald Wald F statistic):{res}{col 71}  15.019
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  28.007
{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
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
{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}28.006617

{txt}added scalar:
             e(mean_y) =  {res}-72.92379

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}annee {c |}{res}        462        2012           0       2012       2012
{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(  9,    31) = {res}    2.76
{txt}{col 55}Prob > F      = {res}  0.0170
{txt}Total (centered) SS     = {res}  42812.0008{txt}{col 55}Centered R2   = {res} -1.1666
{txt}Total (uncentered) SS   = {res}  42812.0008{txt}{col 55}Uncentered R2 = {res} -1.1666
{txt}Residual SS             = {res} 92757.48329{txt}{col 55}Root MSE      = {res}   14.91

{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_aut_RM_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} 2.976578{col 30}{space 2} .8044997{col 41}{space 1}    3.70{col 50}{space 3}0.001{col 58}{space 4}  1.33579{col 71}{space 3} 4.617366
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.1381567{col 30}{space 2} .1959719{col 41}{space 1}   -0.70{col 50}{space 3}0.486{col 58}{space 4}-.5378441{col 71}{space 3} .2615306
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.7211911{col 30}{space 2} .4614392{col 41}{space 1}   -1.56{col 50}{space 3}0.128{col 58}{space 4}-1.662302{col 71}{space 3} .2199203
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .3480038{col 30}{space 2} .5003668{col 41}{space 1}    0.70{col 50}{space 3}0.492{col 58}{space 4}-.6725011{col 71}{space 3} 1.368509
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 8211.039{col 30}{space 2} 4729.242{col 41}{space 1}    1.74{col 50}{space 3}0.092{col 58}{space 4}-1434.314{col 71}{space 3} 17856.39
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-3887.841{col 30}{space 2} 2434.685{col 41}{space 1}   -1.60{col 50}{space 3}0.120{col 58}{space 4}-8853.413{col 71}{space 3} 1077.731
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-90.07836{col 30}{space 2} 48.62905{col 41}{space 1}   -1.85{col 50}{space 3}0.074{col 58}{space 4} -189.258{col 71}{space 3} 9.101228
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-.7543641{col 30}{space 2} 18.56465{col 41}{space 1}   -0.04{col 50}{space 3}0.968{col 58}{space 4}-38.61723{col 71}{space 3}  37.1085
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 79.18523{col 30}{space 2} 48.93684{col 41}{space 1}    1.62{col 50}{space 3}0.116{col 58}{space 4}-20.62212{col 71}{space 3} 178.9926
{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}   8.652
{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}  14.062
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  20.507
{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
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
{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}20.507488

{txt}added scalar:
             e(mean_y) =  {res}16.617153

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}annee {c |}{res}        462        2012           0       2012       2012
{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(  9,    31) = {res}    3.76
{txt}{col 55}Prob > F      = {res}  0.0027
{txt}Total (centered) SS     = {res}  45362.4488{txt}{col 55}Centered R2   = {res}  0.0842
{txt}Total (uncentered) SS   = {res}  45362.4488{txt}{col 55}Uncentered R2 = {res}  0.0842
{txt}Residual SS             = {res} 41543.43975{txt}{col 55}Root MSE      = {res}   9.981

{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_nat_RM_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}   .30992{col 30}{space 2} .6343787{col 41}{space 1}    0.49{col 50}{space 3}0.629{col 58}{space 4}-.9839039{col 71}{space 3} 1.603744
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} .1508402{col 30}{space 2} .1390836{col 41}{space 1}    1.08{col 50}{space 3}0.286{col 58}{space 4}-.1328227{col 71}{space 3}  .434503
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .2724129{col 30}{space 2} .4082356{col 41}{space 1}    0.67{col 50}{space 3}0.510{col 58}{space 4}-.5601892{col 71}{space 3} 1.105015
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.1970833{col 30}{space 2} .2693859{col 41}{space 1}   -0.73{col 50}{space 3}0.470{col 58}{space 4}-.7464994{col 71}{space 3} .3523328
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-8721.707{col 30}{space 2} 2750.293{col 41}{space 1}   -3.17{col 50}{space 3}0.003{col 58}{space 4}-14330.97{col 71}{space 3}-3112.447
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-3944.013{col 30}{space 2} 1612.319{col 41}{space 1}   -2.45{col 50}{space 3}0.020{col 58}{space 4}-7232.359{col 71}{space 3}-655.6665
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 83.63639{col 30}{space 2} 28.52259{col 41}{space 1}    2.93{col 50}{space 3}0.006{col 58}{space 4} 25.46419{col 71}{space 3} 141.8086
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} .9404426{col 30}{space 2} 10.20295{col 41}{space 1}    0.09{col 50}{space 3}0.927{col 58}{space 4} -19.8686{col 71}{space 3} 21.74949
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 80.16492{col 30}{space 2} 32.30858{col 41}{space 1}    2.48{col 50}{space 3}0.019{col 58}{space 4} 14.27114{col 71}{space 3} 146.0587
{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}   8.652
{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}  14.062
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  20.507
{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
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
{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}20.507488

{txt}added scalar:
             e(mean_y) =  {res}-30.306897

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}annee {c |}{res}        462        2012           0       2012       2012
{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(  9,    31) = {res}    2.76
{txt}{col 55}Prob > F      = {res}  0.0170
{txt}Total (centered) SS     = {res}  42812.0008{txt}{col 55}Centered R2   = {res} -1.1666
{txt}Total (uncentered) SS   = {res}  42812.0008{txt}{col 55}Uncentered R2 = {res} -1.1666
{txt}Residual SS             = {res} 92757.48329{txt}{col 55}Root MSE      = {res}   14.91

{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_rle_RM_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} 2.976578{col 30}{space 2} .8044997{col 41}{space 1}    3.70{col 50}{space 3}0.001{col 58}{space 4}  1.33579{col 71}{space 3} 4.617366
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.1381567{col 30}{space 2} .1959719{col 41}{space 1}   -0.70{col 50}{space 3}0.486{col 58}{space 4}-.5378441{col 71}{space 3} .2615306
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.7211911{col 30}{space 2} .4614392{col 41}{space 1}   -1.56{col 50}{space 3}0.128{col 58}{space 4}-1.662302{col 71}{space 3} .2199203
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .3480038{col 30}{space 2} .5003668{col 41}{space 1}    0.70{col 50}{space 3}0.492{col 58}{space 4}-.6725011{col 71}{space 3} 1.368509
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 8211.039{col 30}{space 2} 4729.242{col 41}{space 1}    1.74{col 50}{space 3}0.092{col 58}{space 4}-1434.314{col 71}{space 3} 17856.39
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-3887.841{col 30}{space 2} 2434.685{col 41}{space 1}   -1.60{col 50}{space 3}0.120{col 58}{space 4}-8853.413{col 71}{space 3} 1077.731
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-90.07836{col 30}{space 2} 48.62905{col 41}{space 1}   -1.85{col 50}{space 3}0.074{col 58}{space 4} -189.258{col 71}{space 3} 9.101228
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-.7543641{col 30}{space 2} 18.56465{col 41}{space 1}   -0.04{col 50}{space 3}0.968{col 58}{space 4}-38.61723{col 71}{space 3}  37.1085
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 79.18523{col 30}{space 2} 48.93684{col 41}{space 1}    1.62{col 50}{space 3}0.116{col 58}{space 4}-20.62212{col 71}{space 3} 178.9926
{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}   8.652
{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}  14.062
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  20.507
{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
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
{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}20.507488

{txt}added scalar:
             e(mean_y) =  {res}16.617153

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}annee {c |}{res}        462        2012           0       2012       2012
{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(  9,    31) = {res}    3.37
{txt}{col 55}Prob > F      = {res}  0.0055
{txt}Total (centered) SS     = {res} 10733.75958{txt}{col 55}Centered R2   = {res} -0.0881
{txt}Total (uncentered) SS   = {res} 10733.75958{txt}{col 55}Uncentered R2 = {res} -0.0881
{txt}Residual SS             = {res}  11679.8629{txt}{col 55}Root MSE      = {res}   5.292

{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_abs_RM_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}-.5323072{col 30}{space 2}  .409489{col 41}{space 1}   -1.30{col 50}{space 3}0.203{col 58}{space 4}-1.367466{col 71}{space 3} .3028513
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}  .019564{col 30}{space 2} .0974219{col 41}{space 1}    0.20{col 50}{space 3}0.842{col 58}{space 4}-.1791293{col 71}{space 3} .2182573
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.0338822{col 30}{space 2} .1454046{col 41}{space 1}   -0.23{col 50}{space 3}0.817{col 58}{space 4}-.3304368{col 71}{space 3} .2626724
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0941231{col 30}{space 2} .1282443{col 41}{space 1}   -0.73{col 50}{space 3}0.469{col 58}{space 4}-.3556792{col 71}{space 3} .1674329
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 169.8484{col 30}{space 2} 1257.193{col 41}{space 1}    0.14{col 50}{space 3}0.893{col 58}{space 4}-2394.213{col 71}{space 3}  2733.91
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-498.6413{col 30}{space 2} 880.5117{col 41}{space 1}   -0.57{col 50}{space 3}0.575{col 58}{space 4}-2294.457{col 71}{space 3} 1297.174
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} -2.22167{col 30}{space 2} 13.39506{col 41}{space 1}   -0.17{col 50}{space 3}0.869{col 58}{space 4}-29.54107{col 71}{space 3} 25.09773
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 8.093184{col 30}{space 2} 5.871071{col 41}{space 1}    1.38{col 50}{space 3}0.178{col 58}{space 4}-3.880945{col 71}{space 3} 20.06731
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 7.739927{col 30}{space 2} 17.73406{col 41}{space 1}    0.44{col 50}{space 3}0.666{col 58}{space 4}-28.42892{col 71}{space 3} 43.90877
{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}   8.652
{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}  14.062
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  20.507
{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
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
{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}20.507488

{txt}added scalar:
             e(mean_y) =  {res}-70.192839

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}annee {c |}{res}        462        2017           0       2017       2017
{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(  9,    31) = {res}    1.53
{txt}{col 55}Prob > F      = {res}  0.1827
{txt}Total (centered) SS     = {res} 44465.18885{txt}{col 55}Centered R2   = {res} -0.5294
{txt}Total (uncentered) SS   = {res} 44465.18885{txt}{col 55}Uncentered R2 = {res} -0.5294
{txt}Residual SS             = {res} 68005.84069{txt}{col 55}Root MSE      = {res}   12.77

{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_aut_RM_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}  1.92636{col 30}{space 2}  .843673{col 41}{space 1}    2.28{col 50}{space 3}0.029{col 58}{space 4} .2056776{col 71}{space 3} 3.647043
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} -.085932{col 30}{space 2} .1758752{col 41}{space 1}   -0.49{col 50}{space 3}0.629{col 58}{space 4}-.4446318{col 71}{space 3} .2727678
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.1804767{col 30}{space 2}  .409202{col 41}{space 1}   -0.44{col 50}{space 3}0.662{col 58}{space 4} -1.01505{col 71}{space 3} .6540963
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0226579{col 30}{space 2} .3828029{col 41}{space 1}    0.06{col 50}{space 3}0.953{col 58}{space 4}-.7580737{col 71}{space 3} .8033896
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 6976.673{col 30}{space 2} 3725.201{col 41}{space 1}    1.87{col 50}{space 3}0.071{col 58}{space 4}-620.9242{col 71}{space 3} 14574.27
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-2686.348{col 30}{space 2} 2516.136{col 41}{space 1}   -1.07{col 50}{space 3}0.294{col 58}{space 4}-7818.041{col 71}{space 3} 2445.344
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-75.16606{col 30}{space 2} 38.76957{col 41}{space 1}   -1.94{col 50}{space 3}0.062{col 58}{space 4}-154.2371{col 71}{space 3} 3.905001
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 9.547256{col 30}{space 2} 14.80966{col 41}{space 1}    0.64{col 50}{space 3}0.524{col 58}{space 4}-20.65725{col 71}{space 3} 39.75176
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 51.64645{col 30}{space 2} 50.21864{col 41}{space 1}    1.03{col 50}{space 3}0.312{col 58}{space 4}-50.77515{col 71}{space 3}  154.068
{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}   8.275
{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}  13.731
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  20.794
{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
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
{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}20.793739

{txt}added scalar:
             e(mean_y) =  {res}6.1014867

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}annee {c |}{res}        462        2017           0       2017       2017
{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(  9,    31) = {res}    1.53
{txt}{col 55}Prob > F      = {res}  0.1827
{txt}Total (centered) SS     = {res} 44465.18885{txt}{col 55}Centered R2   = {res} -0.5294
{txt}Total (uncentered) SS   = {res} 44465.18885{txt}{col 55}Uncentered R2 = {res} -0.5294
{txt}Residual SS             = {res} 68005.84069{txt}{col 55}Root MSE      = {res}   12.77

{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_nat_RM_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}  1.92636{col 30}{space 2}  .843673{col 41}{space 1}    2.28{col 50}{space 3}0.029{col 58}{space 4} .2056776{col 71}{space 3} 3.647043
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2} -.085932{col 30}{space 2} .1758752{col 41}{space 1}   -0.49{col 50}{space 3}0.629{col 58}{space 4}-.4446318{col 71}{space 3} .2727678
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}-.1804767{col 30}{space 2}  .409202{col 41}{space 1}   -0.44{col 50}{space 3}0.662{col 58}{space 4} -1.01505{col 71}{space 3} .6540963
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2} .0226579{col 30}{space 2} .3828029{col 41}{space 1}    0.06{col 50}{space 3}0.953{col 58}{space 4}-.7580737{col 71}{space 3} .8033896
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 6976.673{col 30}{space 2} 3725.201{col 41}{space 1}    1.87{col 50}{space 3}0.071{col 58}{space 4}-620.9242{col 71}{space 3} 14574.27
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-2686.348{col 30}{space 2} 2516.136{col 41}{space 1}   -1.07{col 50}{space 3}0.294{col 58}{space 4}-7818.041{col 71}{space 3} 2445.344
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-75.16606{col 30}{space 2} 38.76957{col 41}{space 1}   -1.94{col 50}{space 3}0.062{col 58}{space 4}-154.2371{col 71}{space 3} 3.905001
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 9.547256{col 30}{space 2} 14.80966{col 41}{space 1}    0.64{col 50}{space 3}0.524{col 58}{space 4}-20.65725{col 71}{space 3} 39.75176
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 51.64645{col 30}{space 2} 50.21864{col 41}{space 1}    1.03{col 50}{space 3}0.312{col 58}{space 4}-50.77515{col 71}{space 3}  154.068
{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}   8.275
{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}  13.731
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  20.794
{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
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
{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}20.793739

{txt}added scalar:
             e(mean_y) =  {res}6.1014867

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}annee {c |}{res}        462        2017           0       2017       2017
{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(  9,    31) = {res}    3.61
{txt}{col 55}Prob > F      = {res}  0.0035
{txt}Total (centered) SS     = {res}  34474.0836{txt}{col 55}Centered R2   = {res} -0.1259
{txt}Total (uncentered) SS   = {res}  34474.0836{txt}{col 55}Uncentered R2 = {res} -0.1259
{txt}Residual SS             = {res} 38813.55155{txt}{col 55}Root MSE      = {res}   9.648

{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_rle_RM_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} .6573059{col 30}{space 2} .6393796{col 41}{space 1}    1.03{col 50}{space 3}0.312{col 58}{space 4}-.6467174{col 71}{space 3} 1.961329
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.3156999{col 30}{space 2} .1563195{col 41}{space 1}   -2.02{col 50}{space 3}0.052{col 58}{space 4}-.6345157{col 71}{space 3} .0031159
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2}  -.01253{col 30}{space 2} .2571665{col 41}{space 1}   -0.05{col 50}{space 3}0.961{col 58}{space 4}-.5370245{col 71}{space 3} .5119644
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.2454341{col 30}{space 2} .3189982{col 41}{space 1}   -0.77{col 50}{space 3}0.447{col 58}{space 4}-.8960352{col 71}{space 3} .4051671
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2} 10125.43{col 30}{space 2} 4622.074{col 41}{space 1}    2.19{col 50}{space 3}0.036{col 58}{space 4} 698.6465{col 71}{space 3} 19552.21
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}  703.719{col 30}{space 2} 1802.377{col 41}{space 1}    0.39{col 50}{space 3}0.699{col 58}{space 4}-2972.253{col 71}{space 3} 4379.691
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2}-103.1073{col 30}{space 2} 46.43036{col 41}{space 1}   -2.22{col 50}{space 3}0.034{col 58}{space 4}-197.8027{col 71}{space 3}-8.411998
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2}-5.703127{col 30}{space 2} 10.07769{col 41}{space 1}   -0.57{col 50}{space 3}0.576{col 58}{space 4}-26.25671{col 71}{space 3} 14.85046
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2}-12.59815{col 30}{space 2}  36.0277{col 41}{space 1}   -0.35{col 50}{space 3}0.729{col 58}{space 4}-86.07713{col 71}{space 3} 60.88082
{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}   8.275
{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}  13.731
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  20.794
{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
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
{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}20.793739

{txt}added scalar:
             e(mean_y) =  {res}-21.283387

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 7}annee {c |}{res}        462        2017           0       2017       2017
{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(  9,    31) = {res}    3.37
{txt}{col 55}Prob > F      = {res}  0.0055
{txt}Total (centered) SS     = {res} 8120.584739{txt}{col 55}Centered R2   = {res} -0.0224
{txt}Total (uncentered) SS   = {res} 8120.584739{txt}{col 55}Uncentered R2 = {res} -0.0224
{txt}Residual SS             = {res} 8302.262777{txt}{col 55}Root MSE      = {res}   4.462

{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_abs_RM_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} .2384991{col 30}{space 2} .2079665{col 41}{space 1}    1.15{col 50}{space 3}0.260{col 58}{space 4}-.1856515{col 71}{space 3} .6626496
{txt}perc_b_1903_1912 {c |}{col 18}{res}{space 2}-.1119936{col 30}{space 2} .0643747{col 41}{space 1}   -1.74{col 50}{space 3}0.092{col 58}{space 4}-.2432868{col 71}{space 3} .0192995
{txt}perc_b_1913_1922 {c |}{col 18}{res}{space 2} .0602838{col 30}{space 2} .1027597{col 41}{space 1}    0.59{col 50}{space 3}0.562{col 58}{space 4}-.1492958{col 71}{space 3} .2698635
{txt}perc_b_1923_1932 {c |}{col 18}{res}{space 2}-.0522559{col 30}{space 2} .1284705{col 41}{space 1}   -0.41{col 50}{space 3}0.687{col 58}{space 4}-.3142733{col 71}{space 3} .2097614
{txt}{space 9}rdd_lat {c |}{col 18}{res}{space 2}-1294.334{col 30}{space 2} 1619.885{col 41}{space 1}   -0.80{col 50}{space 3}0.430{col 58}{space 4}-4598.111{col 71}{space 3} 2009.443
{txt}{space 9}rdd_lon {c |}{col 18}{res}{space 2}-602.9368{col 30}{space 2} 662.5841{col 41}{space 1}   -0.91{col 50}{space 3}0.370{col 58}{space 4}-1954.286{col 71}{space 3} 748.4124
{txt}{space 7}rdd_lat_2 {c |}{col 18}{res}{space 2} 12.55982{col 30}{space 2} 16.58553{col 41}{space 1}    0.76{col 50}{space 3}0.455{col 58}{space 4}-21.26659{col 71}{space 3} 46.38622
{txt}{space 7}rdd_lon_2 {c |}{col 18}{res}{space 2} 7.677207{col 30}{space 2} 3.921443{col 41}{space 1}    1.96{col 50}{space 3}0.059{col 58}{space 4}-.3206284{col 71}{space 3} 15.67504
{txt}{space 5}rdd_lat_lon {c |}{col 18}{res}{space 2} 9.845671{col 30}{space 2} 13.09662{col 41}{space 1}    0.75{col 50}{space 3}0.458{col 58}{space 4}-16.86507{col 71}{space 3} 36.55641
{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}   8.275
{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}  13.731
{txt}                         (Kleibergen-Paap rk Wald F statistic):{res}{col 71}  20.794
{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
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
{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}20.793739

{txt}added scalar:
             e(mean_y) =  {res}-75.130688
{txt}
{com}. 
. ****************************
. ***** 3. TABLE (OTHER) *****
. ****************************
. 
. // 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}. 
. // Nationalist
. 
. estout P1965T1_nat_RM P1969T1_nat_RM P1974T1_nat_RM P1995T1_nat_RM P2002T1_nat_RM P2007T1_nat_RM P2012T1_nat_RM P2017T1_nat_RM ///
>         using "$results\\$program.tex", replace style(tex) type label ///
>         cells(b(star fmt(%9.3f)) se(par fmt(%9.3f)))  ///
>         stats(mean_y, lab("\\ Mean dependent variable") 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) ///
>         title(Radical and moderate candidates: Other policy positions) ///
>         prehead( ///
>         "\begin{c -(}table{c )-}[t!]" ///
>         "\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: Nationalist vote difference (\% of registered){c )-}\\") /// 
>         posthead("\hline") ///
>         prefoot("") ///
>         postfoot("\\")
{res}
\begin{c -(}table{c )-}[t!]
\begin{c -(}center{c )-}
\begin{c -(}threeparttable{c )-}
\begin{c -(}scriptsize{c )-}
\caption{c -(}Radical and moderate candidates: Other policy positions\label{c -(}EEREV-D-21-00004_TableC13{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: Nationalist vote difference (\% of registered){c )-}\\
\hline
Conscription proxy (\%)&     --1.576** &     --0.533   &       0.713*  &       1.871***&       0.472   &       0.327   &       0.310   &       1.926** \\
                    &     (0.613)   &     (0.783)   &     (0.374)   &     (0.667)   &     (0.726)   &     (0.458)   &     (0.634)   &     (0.844)   \\

\\ Mean dependent variable&       72.21   &       61.31   &     --79.29   &     --28.16   &     --22.41   &     --49.19   &     --30.31   &        6.10   \\
\\
{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableC13.tex"'})

{com}. 
. // Authoritarian
. 
. estout P1965T1_aut_RM P1969T1_aut_RM P1974T1_aut_RM P1995T1_aut_RM P2002T1_aut_RM P2007T1_aut_RM P2012T1_aut_RM P2017T1_aut_RM ///
>         using "$results\\$program.tex", append style(tex) type label ///
>         cells(b(star fmt(%9.3f)) se(par fmt(%9.3f)))  ///       
>         stats(mean_y, lab("\\ Mean dependent variable") 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) ///
>         prehead("%\hline" ///
>         "\cmidrule(lr){c -(}2-9{c )-}" ///
>         "& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel B: 2SLS Estimates. Dep. Variable: Authoritarian vote difference (\% of registered){c )-}\\") ///
>         posthead("\hline") ///
>         prefoot("") ///
>         postfoot("\\")
{res}
%\hline
\cmidrule(lr){c -(}2-9{c )-}
& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel B: 2SLS Estimates. Dep. Variable: Authoritarian vote difference (\% of registered){c )-}\\
\hline
Conscription proxy (\%)&     --2.789** &     --0.533   &       0.938   &       1.871***&     --1.427** &     --0.057   &       2.977***&       1.926** \\
                    &     (1.044)   &     (0.783)   &     (0.862)   &     (0.667)   &     (0.565)   &     (0.516)   &     (0.804)   &     (0.844)   \\

\\ Mean dependent variable&       43.87   &       61.31   &     --56.35   &     --28.16   &     --36.91   &      --4.18   &       16.62   &        6.10   \\
\\
{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableC13.tex"'})

{com}. 
. // Rile
. 
. estout P1965T1_rle_RM P1969T1_rle_RM P1974T1_rle_RM P1995T1_rle_RM P2002T1_rle_RM P2007T1_rle_RM P2012T1_rle_RM P2017T1_rle_RM ///
>         using "$results\\$program.tex", append style(tex) type label ///
>         cells(b(star fmt(%9.3f)) se(par fmt(%9.3f)))  ///       
>         stats(mean_y, lab("\\ Mean dependent variable") 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) ///
>         prehead("%\hline" ///
>         "\cmidrule(lr){c -(}2-9{c )-}" ///
>         "& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel C: 2SLS Estimates. Dep. Variable: Right-wing vote difference (\% of registered){c )-}\\") ///
>         posthead("\hline") ///
>         prefoot("") ///
>         postfoot("\\")
{res}
%\hline
\cmidrule(lr){c -(}2-9{c )-}
& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel C: 2SLS Estimates. Dep. Variable: Right-wing vote difference (\% of registered){c )-}\\
\hline
Conscription proxy (\%)&     --2.789** &     --0.533   &       0.938   &       2.265***&       0.472   &       1.761***&       2.977***&       0.657   \\
                    &     (1.044)   &     (0.783)   &     (0.862)   &     (0.791)   &     (0.726)   &     (0.507)   &     (0.804)   &     (0.639)   \\

\\ Mean dependent variable&       43.87   &       61.31   &     --56.35   &        6.25   &     --22.41   &        3.71   &       16.62   &     --21.28   \\
\\
{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableC13.tex"'})

{com}. 
. // Extremism
. 
. estout P1965T1_abs_RM P1969T1_abs_RM P1974T1_abs_RM P1995T1_abs_RM P2002T1_abs_RM P2007T1_abs_RM P2012T1_abs_RM P2017T1_abs_RM ///
>         using "$results\\$program.tex", append style(tex) type label ///
>         cells(b(star fmt(%9.3f)) se(par fmt(%9.3f)))  ///       
>         stats(mean_y, lab("\\ Mean dependent variable") 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) ///
>         prehead("%\hline" ///
>         "\cmidrule(lr){c -(}2-9{c )-}" ///
>         "& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel C: 2SLS Estimates. Dep. Variable: Extremist (r-l) vote difference (\% of registered){c )-}\\") ///
>         posthead("\hline") ///
>         prefoot("") ///
>         postfoot("\\")
{res}
%\hline
\cmidrule(lr){c -(}2-9{c )-}
& \multicolumn{c -(}8{c )-}{c -(}c{c )-}{c -(}Panel C: 2SLS Estimates. Dep. Variable: Extremist (r-l) vote difference (\% of registered){c )-}\\
\hline
Conscription proxy (\%)&       1.711** &       0.979   &       2.852***&     --0.616** &     --1.297***&     --0.080   &     --0.532   &       0.238   \\
                    &     (0.640)   &     (0.715)   &     (0.711)   &     (0.263)   &     (0.379)   &     (0.313)   &     (0.409)   &     (0.208)   \\

\\ Mean dependent variable&     --74.62   &     --67.51   &     --76.50   &     --75.16   &     --64.59   &     --72.92   &     --70.19   &     --75.13   \\
\\
{txt}(output written to {browse  `"D:\Dropbox\SVLACHOS\Research\Malgre_nous\Replication_files\Results\EEREV-D-21-00004_TableC13.tex"'})

{com}. 
. // Closure
. 
. estout P1965T1_abs_RM P1969T1_abs_RM P1974T1_abs_RM P1995T1_abs_RM P2002T1_abs_RM P2007T1_abs_RM P2012T1_abs_RM P2017T1_abs_RM ///
>         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(%9.0fc %9.0fc)) ///
>         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("Lat-lon polynomial & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd \\ ") ///
>         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 )-}:" /// 
>         "2SLS estimates of the effect of conscription into the Wehrmacht on the aggregate vote share by candidate position. " ///
>         "The unit of observation is a municipality. " ///
>         "Standard errors clustered at the canton level in parentheses. " ///
>         "Panel A: 2SLS estimates for the difference between the aggregate vote share of most nationalist candidates and other candidates; " ///
>         "Panel B: 2SLS estimates for the difference between the aggregate vote share of most authoritarian candidates and other candidates; " ///
>         "Panel C: 2SLS estimates for the difference between the aggregate vote share of most right-wing candidates (measured using the \cite{c -(}budge2016party{c )-} index) and other candidates; " ///
>         "Panel D: 2SLS estimates for the difference between the aggregate vote share of most extremist candidates (measured using the absolute value of the \cite{c -(}budge2016party{c )-} index) and other candidates. " ///
>         "Each column presents the estimation for a different election. " ///
>         "All specifications include a quadratic polynomial in latitude and longitude ($ x+y+x^2+y^2+xy $). " ///
>         "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}
Lat-lon polynomial & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd & 2nd \\ 

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 )-}:
2SLS estimates of the effect of conscription into the Wehrmacht on the aggregate vote share by candidate position. 
The unit of observation is a municipality. 
Standard errors clustered at the canton level in parentheses. 
Panel A: 2SLS estimates for the difference between the aggregate vote share of most nationalist candidates and other candidates; 
Panel B: 2SLS estimates for the difference between the aggregate vote share of most authoritarian candidates and other candidates; 
Panel C: 2SLS estimates for the difference between the aggregate vote share of most right-wing candidates (measured using the \cite{c -(}budge2016party{c )-} index) and other candidates; 
Panel D: 2SLS estimates for the difference between the aggregate vote share of most extremist candidates (measured using the absolute value of the \cite{c -(}budge2016party{c )-} index) and other candidates. 
Each column presents the estimation for a different election. 
All specifications include a quadratic polynomial in latitude and longitude ($ x+y+x^2+y^2+xy $). 
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 )-}
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