-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- name: log: /home/lfbrooks/pppa6022/2017/problem_sets/problem_set_1/ps1_2015v04.log log type: text opened on: 23 Feb 2017, 20:50:42 . *********************************************************************************** > > ****** 1. ipums-usa data ********************************************************** > > ***********************************************************************************; . ******* A. get ready **************************************************************; . *** A.1. start up things ***; . clear all; . pause on; . set more off; . * set todays date; . adopath ++ /home/lfbrooks/home/bleah/ado; [1] "/home/lfbrooks/home/bleah/ado" [2] (BASE) "/c1/apps/statamp/13/ado/base/" [3] (SITE) "/c1/apps/statamp/ado/" [4] "." [5] (PERSONAL) "~/ado/personal/" [6] (PLUS) "~/ado/plus/" [7] (OLDPLACE) "~/ado/" . dateo; . *** A.2. load data ***; . * switch for which sample we use *; . *local sample big; . local sample small; . * load the big sample *; . if "`sample'" == "big" > {; . * 1950 *; . * program that creates these data is > /home/lfbrooks/home/bleah/pppa6022/2014/stataprg/problem_set_1/load1950v01.do; . use /groups/brooksgrp/pppa6022/2014/1950_census_data/20140128_ipums_1950; . * 2010 *; . * program that creates these data is > /home/lfbrooks/home/bleah/pppa6022/2014/stataprg/problem_set_1/load2010v01.do; . append using /groups/brooksgrp/pppa6022/2014/2010_census_data/20140128_ipums_2010; . * code making the smaller sample *; . * take a smaller random sample *; . *gen double rand_samp = runiform(); . *keep if rand_samp > 0.9; . * save this as a junk dataset to load *; . *save /groups/brooksgrp/pppa6022/2015/small_census/ipumscen, replace; . }; . * load the small sample *; . if "`sample'" == "small" > {; . use /groups/brooksgrp/pppa6022/2015/small_census/ipumscen; . }; . ***** B. 1(a) mean male wages *************************************************; . *** B.1. marker for prime-age males ***; . gen prime_age_male = 0; . replace prime_age_male = 1 if (age >= 25 & age < 65) & sex == 1; (121405 real changes made) . save /lustre/groups/brooksgrp/forlater, replace; file /lustre/groups/brooksgrp/forlater.dta saved . *** B.2. re-code top coded wages ***; . replace incwage = . if year == 1950 & incwage == 999999; (158111 real changes made, 158111 to missing) . replace incwage = . if year == 2010 & incwage == 999999; (60570 real changes made, 60570 to missing) . * saves the data for later use *; . preserve; . * keep only obs of interest *; . keep if prime_age_male == 1; (376761 observations deleted) . *** B.3. find average wages by year ***; . * make a small table with mean and sd of mean of wage *; . * we are not weighting, though this is totally wrong!! *; . sort year prime_age_male; . collapse (mean) incwage=incwage (sd) incwage_sd=incwage (count) inc_obs=incwage, by(year prime_age_male); . * make marker for wage type *; . gen wage_type = "nominal"; . * this is the average wage for prime age men by year *; . list; +------------------------------------------------------------------+ | year prime_~e incwage incwage_sd inc_obs wage_t~e | |------------------------------------------------------------------| 1. | 1950 1 2205.66264 1968.259314 11258 nominal | 2. | 2010 1 42718.47399 55894.44078 78745 nominal | +------------------------------------------------------------------+ . * save it *; . save /lustre/groups/brooksgrp/tempavwages, replace; file /lustre/groups/brooksgrp/tempavwages.dta saved . *save /home/lfbrooks/pppa6022/2017/problem_sets/problem_set_1/tempavwages_`sample', replace; . *** B.4. use a t-test to test whether the wages are different *; . * bring back the data *; . restore; . preserve; . keep if prime_age_male == 1; (376761 observations deleted) . * get values for 1950 into local macros *; . summ incwage if year == 1950; Variable | Obs Mean Std. Dev. Min Max -------------+-------------------------------------------------------- incwage | 11258 2205.663 1968.259 0 10000 . local mu_1950 = r(mean); . local sd_1950 = r(sd); . local n_1950 = r(N); . * get values for 2010 into local macros *; . summ incwage if year == 2010; Variable | Obs Mean Std. Dev. Min Max -------------+-------------------------------------------------------- incwage | 78745 42718.47 55894.44 0 569000 . local mu_2010 = r(mean); . local sd_2010 = r(sd); . local n_2010 = r(N); . * t-test *; . local t_value = (`mu_2010' - `mu_1950') / sqrt((`sd_2010'^2/`n_2010') + (`sd_1950'^2/`n_1950')); . di "t-test value is `t_value'"; t-test value is 202.5162965812413 . ****** C. 1(b): on weighting *******************************************; . * keep only non-missing wage obs *; . keep if incwage ! = .; (31402 observations deleted) . * keep only prime age men *; . keep if prime_age_male == 1; (0 observations deleted) . * create group averages by education *; . collapse (mean) incwage=incwage (count) n_educ=incwage, by(year educ); . * create group-s share of total *; . * make group total obs *; . egen yr_tot = sum(n_educ), by(year); . gen grp_wt = n_educ / yr_tot; . by year: summ grp_wt; -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- -> year = 1950 Variable | Obs Mean Std. Dev. Min Max -------------+-------------------------------------------------------- grp_wt | 12 .0833333 .0994604 .015811 .3614319 -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- -> year = 2010 Variable | Obs Mean Std. Dev. Min Max -------------+-------------------------------------------------------- grp_wt | 11 .0909091 .1108151 .0060067 .3693187 . * average by year with group weights *; . collapse (mean) incwage=incwage [aweight=grp_wt], by(year); . list; +--------------------+ | year incwage | |--------------------| 1. | 1950 2205.662641 | 2. | 2010 42718.47371 | +--------------------+ . ***** D. make wages real *******************************************************; . *** D.1. get back to big dataset and find cpi stuff ***; . restore; . keep if prime_age_male == 1; (376761 observations deleted) . * values from the BLS are as follows: > 24.98 for 1950 > 220.437 for 2010 > 234.594 for 2013; . * re-scale so 2013 is 1: > 0.1065/ for 1950 > 0.9396 f/or 2010 > 1 for 2013 ; . * this means that $0.03 in 1950 is $1 in 2013 ; . * so how much is $1 in 1950 in 2013? > 0.1065 / 1 = 1 / x > x = 1 / 0.1065 = 9.39 ; . * fix wages *; . gen rl_wage = incwage * 9.39 if year == 1950; (110147 missing values generated) . replace rl_wage = incwage * 1.067 if year == 2010; (78745 real changes made) . preserve; . *** D.2. 1(c): re-do the average wages by year for real wages ***; . sort year; . collapse (mean) incwage=rl_wage (sd) incwage_sd = incwage (count) inc_obs=incwage, by(year); . * make marker for wage type *; . gen wage_type = "real"; . *** D.3. make a table ***; . * add the nominal wage dataset from b *; . append using /lustre/groups/brooksgrp/tempavwages; (note: variable incwage was float, now double to accommodate using data's values) (note: variable wage_type was str4, now str7 to accommodate using data's values) (label year_lbl already defined) . list; +---------------------------------------------------------------+ | year incwage incwage_sd inc_obs wage_t~e prime_~e | |---------------------------------------------------------------| 1. | 1950 20711.17 1968.259314 11258 real . | 2. | 2010 45580.61 55894.44078 78745 real . | 3. | 1950 2205.663 1968.259314 11258 nominal 1 | 4. | 2010 42718.47 55894.44078 78745 nominal 1 | +---------------------------------------------------------------+ . * make the dataset wide so I can do t-tests *; . reshape wide incwage incwage_sd inc_obs, i(wage_type) j(year); (note: j = 1950 2010) Data long -> wide ----------------------------------------------------------------------------- Number of obs. 4 -> 2 Number of variables 6 -> 8 j variable (2 values) year -> (dropped) xij variables: incwage -> incwage1950 incwage2010 incwage_sd -> incwage_sd1950 incwage_sd2010 inc_obs -> inc_obs1950 inc_obs2010 ----------------------------------------------------------------------------- . * do t-tests *; . gen t_value_`y' = (incwage2010 - incwage1950) / sqrt( (incwage_sd2010^2/inc_obs2010) + (incwage_sd1950^2/inc_obs1950) ); . list; +--------------------------------------------------------------------------------------------------------+ | wage_t~e in~e1950 incwage_~50 inc_o~50 in~e2010 incwage_~10 inc_o~10 prime_~e t_value_ | |--------------------------------------------------------------------------------------------------------| 1. | nominal 2205.663 1968.259314 11258 42718.47 55894.44078 78745 1 202.5163 | 2. | real 20711.17 1968.259314 11258 45580.61 55894.44078 78745 . 124.3179 | +--------------------------------------------------------------------------------------------------------+ . * output the dataset *; . outsheet using /home/lfbrooks/pppa6022/2017/problem_sets/problem_set_1/problem1_avwages_`sample'.txt, replace; . ***** E. 1(d) and 1(e) husband vs wife wages ****************************************; . *** E.1. set up data for regressions ***; . drop _all; . use /lustre/groups/brooksgrp/forlater; . * fix wages *; . gen rl_wage = incwage * 9.39 if year == 1950; (305809 missing values generated) . replace rl_wage = incwage * 1.067 if year == 2010; (305809 real changes made) . * subset to married couples *; . * keep if married, spouse present *; . keep if marst == 1; (289993 observations deleted) . * keep if head of household or spouse *; . keep if relate == 1 | relate == 2; (9207 observations deleted) . * make male dummy *; . gen male = 0; . replace male = 1 if sex == 1; (99559 real changes made) . * make 2010 dummy *; . gen d2010 = 0; . replace d2010 = 1 if year == 2010; (124128 real changes made) . * make 2010*male *; . gen d2010_male = d2010*male; . tab d2010 male; | male d2010 | 0 1 | Total -----------+----------------------+---------- 0 | 37,204 37,634 | 74,838 1 | 62,203 61,925 | 124,128 -----------+----------------------+---------- Total | 99,407 99,559 | 198,966 . * keep only 65 or younger *; . keep if age <= 65 & age >= 25; (35074 observations deleted) . * make age squared, cubed, to the fourth power *; . gen age2 = age*age; . gen age3 = age2*age; . gen age4 = age3*age; . * make a hh serial number by year (thanks, Drew! for catching this) *; . sort year; . by year: summ serial; -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- -> year = 1950 Variable | Obs Mean Std. Dev. Min Max -------------+-------------------------------------------------------- serial | 65805 230867.5 133196.5 9 461100 -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- -> year = 2010 Variable | Obs Mean Std. Dev. Min Max -------------+-------------------------------------------------------- serial | 98087 706262 405337.3 11 1397788 . gen serialyr = 1950*1000000+serial if year == 1950; (98087 missing values generated) . replace serialyr = 2010*1000000+serial if year == 2010; (98087 real changes made) . * check this sample *; . summ age male incwage; Variable | Obs Mean Std. Dev. Min Max -------------+-------------------------------------------------------- age | 163892 44.83169 11.03119 25 65 male | 163892 .4952225 .4999787 0 1 incwage | 163892 321091 443816.8 0 999999 . *** E.2. regressions ***; . *** 1(d) ***; . * estimate wages as a function of age, year, and being the husband *; . regress rl_wage age male d2010; Source | SS df MS Number of obs = 163892 -------------+------------------------------ F( 3,163888) =92831.57 Model | 1.8863e+18 3 6.2877e+17 Prob > F = 0.0000 Residual | 1.1101e+18163888 6.7732e+12 R-squared = 0.6295 -------------+------------------------------ Adj R-squared = 0.6295 Total | 2.9964e+18163891 1.8283e+13 Root MSE = 2.6e+06 ------------------------------------------------------------------------------ rl_wage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- age | -6789.659 603.9425 -11.24 0.000 -7973.373 -5605.945 male | 57305.63 12885.51 4.45 0.000 32050.3 82560.96 d2010 | -6878555 13574.76 -506.72 0.000 -6905162 -6851949 _cons | 7212598 27398.34 263.25 0.000 7158897 7266298 ------------------------------------------------------------------------------ . eststo c1; . * re-estimate with a variety of sensible covariates *; . xi: regress rl_wage age male d2010 i.educ i.race i.metro; i.educ _Ieduc_0-11 (naturally coded; _Ieduc_0 omitted) i.race _Irace_1-9 (naturally coded; _Irace_1 omitted) i.metro _Imetro_0-4 (naturally coded; _Imetro_0 omitted) Source | SS df MS Number of obs = 163892 -------------+------------------------------ F( 26,163865) = . Model | 2.9081e+18 26 1.1185e+17 Prob > F = 0.0000 Residual | 8.8254e+16163865 5.3858e+11 R-squared = 0.9705 -------------+------------------------------ Adj R-squared = 0.9705 Total | 2.9964e+18163891 1.8283e+13 Root MSE = 7.3e+05 ------------------------------------------------------------------------------ rl_wage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- age | -2381.528 171.8333 -13.86 0.000 -2718.317 -2044.738 male | 24691.65 3636.325 6.79 0.000 17564.53 31818.77 d2010 | -702629.2 7707.664 -91.16 0.000 -717736.1 -687522.4 _Ieduc_1 | -8937109 18632.62 -479.65 0.000 -8973629 -8900590 _Ieduc_2 | -8960584 8920.45 -1004.50 0.000 -8978068 -8943100 _Ieduc_3 | -8802818 16229.78 -542.39 0.000 -8834628 -8771008 _Ieduc_4 | -8808048 14995.87 -587.36 0.000 -8837440 -8778656 _Ieduc_5 | -8731849 16069.8 -543.37 0.000 -8763346 -8700353 _Ieduc_6 | -8517032 8183.828 -1040.71 0.000 -8533072 -8500992 _Ieduc_7 | -8460767 9787.24 -864.47 0.000 -8479949 -8441584 _Ieduc_8 | -8480661 10645.35 -796.65 0.000 -8501526 -8459797 _Ieduc_9 | -9187083 45991.05 -199.76 0.000 -9277224 -9096941 _Ieduc_10 | -8432032 9242.021 -912.36 0.000 -8450146 -8413917 _Ieduc_11 | -8393784 10021.29 -837.59 0.000 -8413425 -8374142 _Irace_2 | -7330.383 7106.668 -1.03 0.302 -21259.3 6598.534 _Irace_3 | -13052.46 26593.78 -0.49 0.624 -65175.7 39070.78 _Irace_4 | -230903.8 20021.6 -11.53 0.000 -270145.7 -191661.9 _Irace_5 | -9598.066 39149.06 -0.25 0.806 -86329.38 67133.25 _Irace_6 | -250554.9 12012.14 -20.86 0.000 -274098.5 -227011.4 _Irace_7 | -232204.9 14352.49 -16.18 0.000 -260335.5 -204074.3 _Irace_8 | -127673.1 19872.63 -6.42 0.000 -166623.1 -88723.2 _Irace_9 | -73719.8 76150.65 -0.97 0.333 -222973.4 75533.83 _Imetro_1 | 5299.626 9048.824 0.59 0.558 -12435.87 23035.13 _Imetro_2 | -45902.1 9608.718 -4.78 0.000 -64734.98 -27069.22 _Imetro_3 | -4470.447 8879.837 -0.50 0.615 -21874.74 12933.84 _Imetro_4 | -13852.23 9041.926 -1.53 0.126 -31574.21 3869.752 _cons | 9295850 11708.84 793.92 0.000 9272901 9318800 ------------------------------------------------------------------------------ . eststo c2; . * re-estimate with covariates and family fixed effects *; . xi: areg rl_wage age male i.educ i.race i.metro, absorb(serialyr); i.educ _Ieduc_0-11 (naturally coded; _Ieduc_0 omitted) i.race _Irace_1-9 (naturally coded; _Irace_1 omitted) i.metro _Imetro_0-4 (naturally coded; _Imetro_0 omitted) Linear regression, absorbing indicators Number of obs = 163892 F( 25, 149346) = 73019.41 Prob > F = 0.0000 R-squared = 0.9735 Adj R-squared = 0.9709 Root MSE = 7.296e+05 ------------------------------------------------------------------------------ rl_wage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- age | -2457.384 180.0416 -13.65 0.000 -2810.262 -2104.506 male | 24383.23 3772.462 6.46 0.000 16989.28 31777.18 _Ieduc_1 | -8967973 19245.16 -465.99 0.000 -9005693 -8930253 _Ieduc_2 | -8990173 9175.73 -979.78 0.000 -9008157 -8972189 _Ieduc_3 | -8835434 16822.02 -525.23 0.000 -8868405 -8802464 _Ieduc_4 | -8846281 15552.72 -568.79 0.000 -8876764 -8815798 _Ieduc_5 | -8767376 16700.14 -524.99 0.000 -8800108 -8734644 _Ieduc_6 | -8563917 8476.568 -1010.30 0.000 -8580531 -8547303 _Ieduc_7 | -8503991 10194.75 -834.15 0.000 -8523973 -8484010 _Ieduc_8 | -8519704 11103.99 -767.26 0.000 -8541467 -8497940 _Ieduc_9 | -9184179 47072.86 -195.11 0.000 -9276441 -9091917 _Ieduc_10 | -8479132 9616.247 -881.75 0.000 -8497980 -8460285 _Ieduc_11 | -8439103 10471.02 -805.95 0.000 -8459626 -8418580 _Irace_2 | -6011.58 7748.055 -0.78 0.438 -21197.61 9174.453 _Irace_3 | -19385.19 28394.4 -0.68 0.495 -75037.64 36267.25 _Irace_4 | -220054.1 21355.2 -10.30 0.000 -261909.9 -178198.4 _Irace_5 | -30300.58 41851.3 -0.72 0.469 -112328.3 51727.13 _Irace_6 | -237523 12922.12 -18.38 0.000 -262850.1 -212195.9 _Irace_7 | -202518.8 15387.5 -13.16 0.000 -232678 -172359.6 _Irace_8 | -117372.9 21097.89 -5.56 0.000 -158724.4 -76021.48 _Irace_9 | -85224.71 80084.34 -1.06 0.287 -242188.4 71738.98 _Imetro_1 | 11809.5 10088.67 1.17 0.242 -7964.096 31583.1 _Imetro_2 | -30800.67 10856.85 -2.84 0.005 -52079.88 -9521.462 _Imetro_3 | 11221.65 10172.54 1.10 0.270 -8716.33 31159.63 _Imetro_4 | 4916.687 10201.24 0.48 0.630 -15077.54 24910.92 _cons | 8895281 13538.58 657.03 0.000 8868746 8921816 -------------+---------------------------------------------------------------- serialyr | F(14520, 149346) = 1.711 0.000 (14521 categories) . eststo c3; . * re-estimate, allowing the main effect to vary *; . xi: areg rl_wage age male d2010_male i.educ i.race i.metro, absorb(serialyr); i.educ _Ieduc_0-11 (naturally coded; _Ieduc_0 omitted) i.race _Irace_1-9 (naturally coded; _Irace_1 omitted) i.metro _Imetro_0-4 (naturally coded; _Imetro_0 omitted) Linear regression, absorbing indicators Number of obs = 163892 F( 26, 149345) = 70211.07 Prob > F = 0.0000 R-squared = 0.9735 Adj R-squared = 0.9709 Root MSE = 7.296e+05 ------------------------------------------------------------------------------ rl_wage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- age | -2452.644 180.098 -13.62 0.000 -2805.633 -2099.656 male | 19675.79 5855.121 3.36 0.001 8199.867 31151.71 d2010_male | 8035.293 7643.359 1.05 0.293 -6945.538 23016.12 _Ieduc_1 | -8967879 19245.36 -465.98 0.000 -9005600 -8930159 _Ieduc_2 | -8990199 9175.761 -979.78 0.000 -9008184 -8972215 _Ieduc_3 | -8835512 16822.17 -525.23 0.000 -8868483 -8802541 _Ieduc_4 | -8846411 15553.21 -568.78 0.000 -8876895 -8815927 _Ieduc_5 | -8767484 16700.45 -524.98 0.000 -8800216 -8734751 _Ieduc_6 | -8564007 8476.992 -1010.26 0.000 -8580621 -8547392 _Ieduc_7 | -8504013 10194.77 -834.15 0.000 -8523995 -8484032 _Ieduc_8 | -8519571 11104.7 -767.20 0.000 -8541336 -8497806 _Ieduc_9 | -9184130 47072.87 -195.10 0.000 -9276392 -9091868 _Ieduc_10 | -8479107 9616.274 -881.75 0.000 -8497955 -8460259 _Ieduc_11 | -8439170 10471.21 -805.94 0.000 -8459694 -8418647 _Irace_2 | -6047.078 7748.126 -0.78 0.435 -21233.25 9139.094 _Irace_3 | -19270.13 28394.6 -0.68 0.497 -74922.96 36382.71 _Irace_4 | -219923.3 21355.55 -10.30 0.000 -261779.8 -178066.9 _Irace_5 | -30175.66 41851.46 -0.72 0.471 -112203.7 51852.35 _Irace_6 | -237325.5 12923.49 -18.36 0.000 -262655.3 -211995.7 _Irace_7 | -202547.4 15387.52 -13.16 0.000 -232706.6 -172388.1 _Irace_8 | -117363.1 21097.89 -5.56 0.000 -158714.5 -76011.63 _Irace_9 | -85428.28 80084.55 -1.07 0.286 -242392.4 71535.82 _Imetro_1 | 11793.32 10088.68 1.17 0.242 -7980.291 31566.93 _Imetro_2 | -30826.8 10856.87 -2.84 0.005 -52106.05 -9547.545 _Imetro_3 | 11199.72 10172.56 1.10 0.271 -8738.298 31137.73 _Imetro_4 | 4885.802 10201.28 0.48 0.632 -15108.5 24880.11 _cons | 8895103 13539.63 656.97 0.000 8868566 8921640 -------------+---------------------------------------------------------------- serialyr | F(14520, 149345) = 1.606 0.000 (14521 categories) . eststo c4; . *** 1(e): different treatments of age ***; . * parametric non-linear effects of age *; . xi: areg rl_wage age age2 age3 age4 male d2010 d2010_male i.educ i.race i.metro , absorb(serialyr); i.educ _Ieduc_0-11 (naturally coded; _Ieduc_0 omitted) i.race _Irace_1-9 (naturally coded; _Irace_1 omitted) i.metro _Imetro_0-4 (naturally coded; _Imetro_0 omitted) note: d2010 omitted because of collinearity Linear regression, absorbing indicators Number of obs = 163892 F( 29, 149342) = 62993.60 Prob > F = 0.0000 R-squared = 0.9735 Adj R-squared = 0.9709 Root MSE = 7.294e+05 ------------------------------------------------------------------------------ rl_wage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- age | 74417.39 51406.54 1.45 0.148 -26338.38 175173.2 age2 | -2269.023 1801.661 -1.26 0.208 -5800.243 1262.197 age3 | 30.72978 27.32209 1.12 0.261 -22.82097 84.28052 age4 | -.1635793 .1515591 -1.08 0.280 -.4606321 .1334735 male | 17913.81 5855.883 3.06 0.002 6436.402 29391.23 d2010 | 0 (omitted) d2010_male | 9663.608 7642.489 1.26 0.206 -5315.516 24642.73 _Ieduc_1 | -8965991 19240.4 -466.00 0.000 -9003702 -8928280 _Ieduc_2 | -8990092 9173.222 -980.04 0.000 -9008072 -8972113 _Ieduc_3 | -8833066 16818.29 -525.21 0.000 -8866029 -8800102 _Ieduc_4 | -8844145 15550.35 -568.74 0.000 -8874623 -8813666 _Ieduc_5 | -8763974 16700.23 -524.78 0.000 -8796706 -8731242 _Ieduc_6 | -8561471 8479.924 -1009.62 0.000 -8578092 -8544851 _Ieduc_7 | -8501439 10196 -833.80 0.000 -8521423 -8481455 _Ieduc_8 | -8518607 11104.03 -767.16 0.000 -8540371 -8496844 _Ieduc_9 | -9177360 47063.3 -195.00 0.000 -9269603 -9085117 _Ieduc_10 | -8477325 9614.906 -881.69 0.000 -8496170 -8458480 _Ieduc_11 | -8437090 10471.04 -805.75 0.000 -8457613 -8416567 _Irace_2 | -7119.153 7746.341 -0.92 0.358 -22301.82 8063.519 _Irace_3 | -19724.42 28385.24 -0.69 0.487 -75358.92 35910.07 _Irace_4 | -223274.1 21351.05 -10.46 0.000 -265121.7 -181426.5 _Irace_5 | -30792.27 41838.46 -0.74 0.462 -112794.8 51210.27 _Irace_6 | -239540.2 12922.14 -18.54 0.000 -264867.3 -214213 _Irace_7 | -204426 15384.41 -13.29 0.000 -234579.1 -174272.9 _Irace_8 | -119243 21092.07 -5.65 0.000 -160583.1 -77903.01 _Irace_9 | -87476.34 80058.08 -1.09 0.275 -244388.6 69435.88 _Imetro_1 | 12086.22 10085.36 1.20 0.231 -7680.882 31853.32 _Imetro_2 | -30606.78 10853.26 -2.82 0.005 -51878.96 -9334.608 _Imetro_3 | 10476.72 10169.5 1.03 0.303 -9455.289 30408.73 _Imetro_4 | 4845.551 10197.94 0.48 0.635 -15142.21 24833.31 _cons | 7918274 534797.3 14.81 0.000 6870082 8966466 -------------+---------------------------------------------------------------- serialyr | F(14520, 149342) = 1.610 0.000 (14521 categories) . eststo c5; . * non-parametric non-linear effects of age *; . xi: areg rl_wage i.age male d2010 d2010_male i.educ i.race i.metro, absorb(serialyr); i.age _Iage_25-65 (naturally coded; _Iage_25 omitted) i.educ _Ieduc_0-11 (naturally coded; _Ieduc_0 omitted) i.race _Irace_1-9 (naturally coded; _Irace_1 omitted) i.metro _Imetro_0-4 (naturally coded; _Imetro_0 omitted) note: d2010 omitted because of collinearity Linear regression, absorbing indicators Number of obs = 163892 F( 65, 149306) = 28107.49 Prob > F = 0.0000 R-squared = 0.9735 Adj R-squared = 0.9709 Root MSE = 7.293e+05 ------------------------------------------------------------------------------ rl_wage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- _Iage_26 | 3708.357 21178.56 0.18 0.861 -37801.19 45217.9 _Iage_27 | 5663.061 20605.88 0.27 0.783 -34724.04 46050.16 _Iage_28 | 14804.33 20178.15 0.73 0.463 -24744.43 54353.1 _Iage_29 | 6829.862 19811.77 0.34 0.730 -32000.81 45660.54 _Iage_30 | 25156.28 19402.82 1.30 0.195 -12872.84 63185.41 _Iage_31 | 27289.76 19661.81 1.39 0.165 -11247 65826.52 _Iage_32 | 30128.57 19399.72 1.55 0.120 -7894.488 68151.64 _Iage_33 | 39260.18 19329.39 2.03 0.042 1374.96 77145.39 _Iage_34 | 43387.39 19222.18 2.26 0.024 5712.309 81062.47 _Iage_35 | 36383 19119.38 1.90 0.057 -1090.593 73856.6 _Iage_36 | 34615.31 19289.86 1.79 0.073 -3192.433 72423.06 _Iage_37 | 39705.03 19134.3 2.08 0.038 2202.18 77207.88 _Iage_38 | 34203.56 18955.54 1.80 0.071 -2948.925 71356.04 _Iage_39 | 20646.45 18998.75 1.09 0.277 -16590.72 57883.62 _Iage_40 | 23569.01 18868.37 1.25 0.212 -13412.61 60550.64 _Iage_41 | 10328.84 19273.24 0.54 0.592 -27446.33 48104 _Iage_42 | 25938.77 19014.94 1.36 0.173 -11330.13 63207.68 _Iage_43 | 31021.78 19254.48 1.61 0.107 -6716.623 68760.18 _Iage_44 | 24589.48 19282.84 1.28 0.202 -13204.5 62383.46 _Iage_45 | 257.0704 19026.16 0.01 0.989 -37033.82 37547.96 _Iage_46 | 41678.37 19165.7 2.17 0.030 4113.972 79242.76 _Iage_47 | 20341.75 19204.24 1.06 0.289 -17298.17 57981.66 _Iage_48 | 9758.037 19238.44 0.51 0.612 -27948.92 47465 _Iage_49 | 141.1298 19092.67 0.01 0.994 -37280.12 37562.38 _Iage_50 | 7471.597 19069.71 0.39 0.695 -29904.65 44847.85 _Iage_51 | 6523.125 19486.55 0.33 0.738 -31670.12 44716.37 _Iage_52 | 12597.11 19311.5 0.65 0.514 -25253.03 50447.25 _Iage_53 | 10969.3 19435.47 0.56 0.572 -27123.83 49062.43 _Iage_54 | -30216.86 19386.69 -1.56 0.119 -68214.37 7780.662 _Iage_55 | -43930.81 19548.8 -2.25 0.025 -82246.07 -5615.55 _Iage_56 | -16917 19818.92 -0.85 0.393 -55761.69 21927.69 _Iage_57 | -30043.13 19819.21 -1.52 0.130 -68888.39 8802.127 _Iage_58 | -59800.45 19956.26 -3.00 0.003 -98914.32 -20686.58 _Iage_59 | -35785.97 20050.93 -1.78 0.074 -75085.38 3513.449 _Iage_60 | -72387.5 19990.12 -3.62 0.000 -111567.7 -33207.27 _Iage_61 | -50220.28 20499.79 -2.45 0.014 -90399.46 -10041.1 _Iage_62 | -26804 20366.52 -1.32 0.188 -66721.96 13113.96 _Iage_63 | -66234.47 20283.64 -3.27 0.001 -105990 -26478.96 _Iage_64 | -81915.05 21237.62 -3.86 0.000 -123540.4 -40289.73 _Iage_65 | -114759.3 21436.77 -5.35 0.000 -156774.9 -72743.67 male | 17844.46 5856.335 3.05 0.002 6366.16 29322.76 d2010 | 0 (omitted) d2010_male | 9628.395 7643.08 1.26 0.208 -5351.888 24608.68 _Ieduc_1 | -8965658 19241.88 -465.94 0.000 -9003372 -8927944 _Ieduc_2 | -8990279 9174.397 -979.93 0.000 -9008260 -8972297 _Ieduc_3 | -8833028 16820.12 -525.15 0.000 -8865995 -8800061 _Ieduc_4 | -8844695 15552.56 -568.70 0.000 -8875178 -8814212 _Ieduc_5 | -8763882 16701.19 -524.75 0.000 -8796616 -8731148 _Ieduc_6 | -8561552 8480.464 -1009.56 0.000 -8578174 -8544931 _Ieduc_7 | -8501237 10197.64 -833.65 0.000 -8521224 -8481250 _Ieduc_8 | -8518824 11104.91 -767.12 0.000 -8540589 -8497058 _Ieduc_9 | -9177329 47066.55 -194.99 0.000 -9269579 -9085080 _Ieduc_10 | -8477312 9615.872 -881.60 0.000 -8496158 -8458465 _Ieduc_11 | -8437147 10472.45 -805.65 0.000 -8457673 -8416621 _Irace_2 | -6779.291 7747.198 -0.88 0.382 -21963.64 8405.061 _Irace_3 | -19150.93 28387.89 -0.67 0.500 -74790.61 36488.75 _Irace_4 | -223385.3 21353.54 -10.46 0.000 -265237.8 -181532.8 _Irace_5 | -30937.72 41841.96 -0.74 0.460 -112947.1 51071.69 _Irace_6 | -239130 12923.57 -18.50 0.000 -264459.9 -213800.1 _Irace_7 | -203796.4 15386.18 -13.25 0.000 -233953 -173639.8 _Irace_8 | -119295.9 21093.55 -5.66 0.000 -160638.9 -77952.99 _Irace_9 | -86393.9 80064.2 -1.08 0.281 -243318.1 70530.32 _Imetro_1 | 11730.55 10086.28 1.16 0.245 -8038.35 31499.44 _Imetro_2 | -30847.28 10854.04 -2.84 0.004 -52120.98 -9573.583 _Imetro_3 | 10279.42 10170.35 1.01 0.312 -9654.271 30213.11 _Imetro_4 | 4579.98 10198.91 0.45 0.653 -15409.68 24569.63 _cons | 8782179 18763.04 468.06 0.000 8745404 8818955 -------------+---------------------------------------------------------------- serialyr | F(14520, 149306) = 1.610 0.000 (14521 categories) . eststo c6; . *** output results ***; . estout * > using "/home/lfbrooks/pppa6022/2017/problem_sets/problem_set_1/${date}_prob1_regs_`sample'.txt", > replace > varwidth(12) varlabels(_cons Constant) > cells(b(star fmt(%12.1f)) se(par fmt(%12.1f))) > stats(r2 N, fmt(%9.3f %9.0g %9.3f) labels("R-squared" "Obs")); (output written to /home/lfbrooks/pppa6022/2017/problem_sets/problem_set_1/20170223_prob1_regs_small.txt) . *********************************************************************************** > > ****** 2. ipums-cps data ********************************************************** > > ***********************************************************************************; . ****** A. prep stuff **********************************************************; . restore; . clear all; . * set todays date; . adopath ++ /home/lfbrooks/home/bleah/ado; [1] "/home/lfbrooks/home/bleah/ado" [2] (BASE) "/c1/apps/statamp/13/ado/base/" [3] (SITE) "/c1/apps/statamp/ado/" [4] "." [5] (PERSONAL) "~/ado/personal/" [6] (PLUS) "~/ado/plus/" [7] (OLDPLACE) "~/ado/" . dateo; . ****** B. load data ***********************************************************; . * switch for which sample we use *; . *local sample big; . local sample small; . * load the big sample *; . if "`sample'" == "big" > {; . * load cps data, keeping only variables that are of interest *; . use /groups/brooksgrp/containerization/current_population_survey/input_201401/20140107_cpsinput; . * take a smaller random sample *; . *gen double rand_samp = runiform(); . *keep if rand_samp > 0.9; . * save this as a junk dataset to load *; . *save /lustre/groups/brooksgrp/ipumscps, replace; . }; . if "`sample'" == "small" > {; . * bring in the smaller data *; . use /lustre/groups/brooksgrp/ipumscps; . }; . ****** C. set up data *********************************************************; . ** fix topcodes **; . * not in universe *; . replace incwage = . if incwage == 9999999; (190472 real changes made, 190472 to missing) . * missing *; . replace incwage = . if incwage == 9999998; (172 real changes made, 172 to missing) . * top-coded -- starts in 2011.. i think at 1,000,000 *; . replace incwage = 1000000 if incwage == 9999997; (0 real changes made) . * marker for employed guys *; . gen emp = 0; . replace emp = 1 if empstat == 10 | empstat == 12 | empstat ==13; (366844 real changes made) . ** make fake treatment **; . * make a list of all treated states *; . local trts 26 6 4 35 27 39 51 21 54 29 28 13 19 33 25 23; . * make a treatment variable *; . gen treat=0; . * fix it for the affected states *; . foreach j in > `trts' > {; 2. replace treat=1 if statefip == `j'; 3. label variable treat "1 if ever in a treated state"; 4. }; (21953 real changes made) (74894 real changes made) (9208 real changes made) (9038 real changes made) (11545 real changes made) (30697 real changes made) (11819 real changes made) (10232 real changes made) (8462 real changes made) (12283 real changes made) (7873 real changes made) (13413 real changes made) (10236 real changes made) (8179 real changes made) (17585 real changes made) (8539 real changes made) . * make a linear trend *; . gen trend = year - 1979; . * make an after variable *; . gen after=0; . replace after=1 if year >= 2000; (286192 real changes made) . * make a trend*treatment interaction *; . gen trend_treat = 0; . replace trend_treat = trend * treat * after; (98443 real changes made) . gen trend_treat_before = 0; . replace trend_treat_before = trend if treat == 1; (260363 real changes made) . * make a treated*after variable *; . gen treat_after = treat*after; . label variable treat_after "1 if after the treatment in a treated state"; . * make a treated*after*male variable *; . gen male = 0; . replace male = 1 if sex==1; (391181 real changes made) . label variable male "1 if male (from sex)"; . gen treat_after_male = treat*after*male; . label variable treat_after_male "1 if after the treatment in a treated state and obs is male"; . * make other interactions that we need *; . gen male_after = male*after; . gen male_treat = male*treat; . ****** C. summary tables ******************************************************; . *** C.1. diff-in-diff ***; . preserve; . sort treat after; . collapse (mean) incwage (sem) incwage_sd = incwage (count) incwage_obs=incwage > if emp == 1, by(treat after); . * create the variance of income *; . gen incwage_var = incwage_sd*incwage_sd; . * output to excel *; . outsheet using /home/lfbrooks/pppa6022/2014/stataout/problem_set_1/${date}_prob2c_ttests_`sample'.txt, replace; (note: file /home/lfbrooks/pppa6022/2014/stataout/problem_set_1/20170223_prob2c_ttests_small.txt not found) . *** C.2. triple diff ***; . restore; . preserve; . sort treat after male; . collapse (mean) incwage (sem) incwage_sd = incwage (count) incwage_obs=incwage > if emp == 1, by(treat after male); . * create the variance of income *; . gen incwage_var = incwage_sd*incwage_sd; . * output to excel *; . outsheet using /home/lfbrooks/pppa6022/2014/stataout/problem_set_1/${date}_prob2d_ttests_`sample'.txt, replace; (note: file /home/lfbrooks/pppa6022/2014/stataout/problem_set_1/20170223_prob2d_ttests_small.txt not found) . ****** D. pictures ************************************************************; . * keep the data around for later *; . restore; . preserve; . * command for making graphs i like *; . graph set eps orientation landscape; . *** D.1. set up data for the picture ***; . * get annual mean wages for treated and untreated states, and also the std error *; . sort year treat; . collapse (mean) incwage (sem) incwage_sd = incwage if emp == 1 & year < 2000, by(year treat); . * reshape to make it wider *; . reshape wide incwage incwage_sd, i(year) j(treat); (note: j = 0 1) Data long -> wide ----------------------------------------------------------------------------- Number of obs. 76 -> 38 Number of variables 4 -> 5 j variable (2 values) treat -> (dropped) xij variables: incwage -> incwage0 incwage1 incwage_sd -> incwage_sd0 incwage_sd1 ----------------------------------------------------------------------------- . * calculate confidence bands *; . foreach j in > 0 1 > {; 2. gen cihi`j' = incwage`j' + 1.96*incwage_sd`j'; 3. label variable cihi`j' "upper confidence bound for incwage when treatment = `j'"; 4. gen cilo`j' = incwage`j' - 1.96*incwage_sd`j'; 5. label variable cilo`j' "lower confidence bound for incwage when treatment = `j'"; 6. }; . * check this *; . list; +----------------------------------------------------------------------------------------------------------+ | year incwage0 incwage_sd0 incwage1 incwage_sd1 cihi0 cilo0 cihi1 cilo1 | |----------------------------------------------------------------------------------------------------------| 1. | 1962 3480.252847 85.3577548 3687.936212 98.61701531 3647.554 3312.952 3881.226 3494.647 | 2. | 1963 3664.868085 107.1473322 4024.516717 167.0743586 3874.877 3454.859 4351.982 3697.051 | 3. | 1964 3842.78881 95.18922386 4117.017992 117.6878902 4029.36 3656.218 4347.686 3886.35 | 4. | 1965 4015.090217 86.82173803 4263.135895 114.8056126 4185.261 3844.92 4488.155 4038.117 | 5. | 1966 4139.933717 63.0599458 4527.654125 86.74956876 4263.531 4016.336 4697.683 4357.625 | |----------------------------------------------------------------------------------------------------------| 6. | 1967 4563.657475 85.01240439 4909.595588 119.1299454 4730.282 4397.033 5143.09 4676.101 | 7. | 1968 4637.106631 60.18533968 4955.429664 132.4103217 4755.07 4519.144 5214.954 4695.905 | 8. | 1969 4957.201714 64.78142107 5458.413094 140.6032792 5084.173 4830.23 5733.996 5182.831 | 9. | 1970 5479.248032 76.2005895 5887.779522 144.2823641 5628.601 5329.895 6170.573 5604.986 | 10. | 1971 5953.722408 81.93742838 6424.742109 166.1503921 6114.32 5793.125 6750.397 6099.087 | |----------------------------------------------------------------------------------------------------------| 11. | 1972 5951.296059 83.89516695 6373.838846 184.4008343 6115.73 5786.861 6735.265 6012.413 | 12. | 1973 6418.161794 92.41231433 6950.98773 203.4247123 6599.29 6237.034 7349.7 6552.275 | 13. | 1974 6999.908569 96.6950369 7595.093496 211.4396428 7189.431 6810.386 8009.515 7180.672 | 14. | 1975 7358.682899 103.7306074 7881.658738 232.6406745 7561.995 7155.371 8337.635 7425.683 | 15. | 1976 7900.699426 106.3377116 8720.564741 238.571889 8109.122 7692.277 9188.166 8252.964 | |----------------------------------------------------------------------------------------------------------| 16. | 1977 8619.948712 122.1746672 8485.806312 154.3625932 8859.411 8380.486 8788.357 8183.256 | 17. | 1978 9150.464054 127.5018367 9117.677366 167.131111 9400.367 8900.561 9445.254 8790.101 | 18. | 1979 9947.951042 135.5289958 10316.71203 178.9468083 10213.59 9682.314 10667.45 9965.977 | 19. | 1980 10941.26922 135.5562256 10920.00795 187.6318659 11206.96 10675.58 11287.77 10552.25 | 20. | 1981 11675.62577 142.6992343 11922.17716 191.7516681 11955.32 11395.94 12298.01 11546.34 | |----------------------------------------------------------------------------------------------------------| 21. | 1982 12796.85268 178.1617321 12754.84738 232.7926651 13146.05 12447.66 13211.12 12298.57 | 22. | 1983 13899.03636 193.7450209 14075.7813 258.5852129 14278.78 13519.3 14582.61 13568.95 | 23. | 1984 14230.07165 189.0590114 13925.33387 265.2062897 14600.63 13859.52 14445.14 13405.53 | 24. | 1985 15516.9129 215.7851178 15471.77299 283.5868281 15939.85 15093.97 16027.6 14915.94 | 25. | 1986 16303.64202 228.8302347 16417.22686 308.6638794 16752.15 15855.13 17022.21 15812.25 | |----------------------------------------------------------------------------------------------------------| 26. | 1987 16730.91419 225.4531871 17233.44128 318.1346997 17172.8 16289.03 17856.98 16609.9 | 27. | 1988 17510.20904 238.7887977 17944.24013 334.9957064 17978.23 17042.18 18600.83 17287.65 | 28. | 1989 18560.75784 256.8351286 19088.49932 382.7603098 19064.15 18057.36 19838.71 18338.29 | 29. | 1990 19792.68571 263.4610987 19811.07449 354.8783976 20309.07 19276.3 20506.64 19115.51 | 30. | 1991 19981.79205 263.068647 21101.28678 371.0261138 20497.41 19466.18 21828.5 20374.08 | |----------------------------------------------------------------------------------------------------------| 31. | 1992 20600.41764 273.5432245 21495.21144 385.9243761 21136.56 20064.27 22251.62 20738.8 | 32. | 1993 21146.54878 287.4733217 21774.07662 390.0837129 21710 20583.1 22538.64 21009.51 | 33. | 1994 21827.36886 298.0422775 22347.81918 421.5212582 22411.53 21243.21 23174 21521.64 | 34. | 1995 22973.93221 318.9102827 23594.71644 426.8715686 23599 22348.87 24431.38 22758.05 | 35. | 1996 25378.61284 482.592257 25785.19506 741.8933485 26324.49 24432.73 27239.31 24331.08 | |----------------------------------------------------------------------------------------------------------| 36. | 1997 27445.51564 548.1541642 27307.69354 734.520472 28519.9 26371.13 28747.35 25868.03 | 37. | 1998 27542.01368 533.5657034 28683.35429 793.7268572 28587.8 26496.22 30239.06 27127.65 | 38. | 1999 28473.61063 552.5870776 29039.91667 716.3689339 29556.68 27390.54 30444 27635.83 | +----------------------------------------------------------------------------------------------------------+ . *** D.2. make the average wage over time picture ***; . graph twoway > (rarea cilo1 cihi1 year, bcolor(gs14)) > (rarea cilo0 cihi0 year, bcolor(gs14)) > (connected incwage0 year, msymbol(o)) > (connected incwage1 year, msymbol(o)), > ytitle("annual wage") > legend(off) > xsize(11) ysize(8.5); . graph export "/home/lfbrooks/pppa6022/2014/statafig/problem_set_1/${date}_mean_wage_wandwo_treatment_`sample'.eps", replace; (note: file /home/lfbrooks/pppa6022/2014/statafig/problem_set_1/20170223_mean_wage_wandwo_treatment_small.eps not found) (file /home/lfbrooks/pppa6022/2014/statafig/problem_set_1/20170223_mean_wage_wandwo_treatment_small.eps written in EPS format) . ****** E. regressions *********************************************************; . * bring back the data *; . restore; . *** E.1. test the parallel pre-trend assumption with a regression (2(a)) ***; . * could have a linear trend, and an interaction term for the treated guys *; . xi: regress incwage trend trend_treat_before i.age i.race i.statefip if emp == 1 & year < 2000; i.age _Iage_0-99 (naturally coded; _Iage_0 omitted) i.race _Irace_100-830 (naturally coded; _Irace_100 omitted) i.statefip _Istatefip_1-99 (naturally coded; _Istatefip_1 omitted) note: _Iage_1 omitted because of collinearity note: _Iage_2 omitted because of collinearity note: _Iage_3 omitted because of collinearity note: _Iage_4 omitted because of collinearity note: _Iage_5 omitted because of collinearity note: _Iage_6 omitted because of collinearity note: _Iage_7 omitted because of collinearity note: _Iage_8 omitted because of collinearity note: _Iage_9 omitted because of collinearity note: _Iage_10 omitted because of collinearity note: _Iage_11 omitted because of collinearity note: _Iage_12 omitted because of collinearity note: _Iage_13 omitted because of collinearity note: _Iage_93 omitted because of collinearity note: _Iage_95 omitted because of collinearity note: _Iage_96 omitted because of collinearity note: _Iage_97 omitted because of collinearity note: _Iage_98 omitted because of collinearity note: _Iage_99 omitted because of collinearity note: _Irace_651 omitted because of collinearity note: _Irace_652 omitted because of collinearity note: _Irace_801 omitted because of collinearity note: _Irace_802 omitted because of collinearity note: _Irace_803 omitted because of collinearity note: _Irace_804 omitted because of collinearity note: _Irace_805 omitted because of collinearity note: _Irace_806 omitted because of collinearity note: _Irace_807 omitted because of collinearity note: _Irace_808 omitted because of collinearity note: _Irace_809 omitted because of collinearity note: _Irace_810 omitted because of collinearity note: _Irace_811 omitted because of collinearity note: _Irace_812 omitted because of collinearity note: _Irace_813 omitted because of collinearity note: _Irace_814 omitted because of collinearity note: _Irace_816 omitted because of collinearity note: _Irace_817 omitted because of collinearity note: _Irace_818 omitted because of collinearity note: _Irace_820 omitted because of collinearity note: _Irace_830 omitted because of collinearity Source | SS df MS Number of obs = 231066 -------------+------------------------------ F(160,230905) = 436.00 Model | 1.7436e+13 160 1.0898e+11 Prob > F = 0.0000 Residual | 5.7714e+13230905 249947011 R-squared = 0.2320 -------------+------------------------------ Adj R-squared = 0.2315 Total | 7.5150e+13231065 325234309 Root MSE = 15810 ------------------------------------------------------------------------------------ incwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------------+---------------------------------------------------------------- trend | 719.1633 4.451464 161.56 0.000 710.4386 727.8881 trend_treat_before | -9.93168 7.364129 -1.35 0.177 -24.36518 4.501823 _Iage_1 | 0 (omitted) _Iage_2 | 0 (omitted) _Iage_3 | 0 (omitted) _Iage_4 | 0 (omitted) _Iage_5 | 0 (omitted) _Iage_6 | 0 (omitted) _Iage_7 | 0 (omitted) _Iage_8 | 0 (omitted) _Iage_9 | 0 (omitted) _Iage_10 | 0 (omitted) _Iage_11 | 0 (omitted) _Iage_12 | 0 (omitted) _Iage_13 | 0 (omitted) _Iage_14 | 6356.251 15825.89 0.40 0.688 -24662.09 37374.59 _Iage_15 | 1984.671 15819.18 0.13 0.900 -29020.51 32989.85 _Iage_16 | 1126.262 15816.65 0.07 0.943 -29873.97 32126.5 _Iage_17 | 1503.12 15815.6 0.10 0.924 -29495.05 32501.29 _Iage_18 | 2553.094 15815.18 0.16 0.872 -28444.25 33550.44 _Iage_19 | 4122.316 15814.97 0.26 0.794 -26874.61 35119.24 _Iage_20 | 5199.506 15814.91 0.33 0.742 -25797.3 36196.31 _Iage_21 | 5971.349 15814.81 0.38 0.706 -25025.28 36967.97 _Iage_22 | 6896.622 15814.71 0.44 0.663 -24099.81 37893.05 _Iage_23 | 7972.803 15814.65 0.50 0.614 -23023.5 38969.1 _Iage_24 | 9120.725 15814.58 0.58 0.564 -21875.44 40116.89 _Iage_25 | 10480.91 15814.57 0.66 0.507 -20515.24 41477.06 _Iage_26 | 11395.55 15814.57 0.72 0.471 -19600.59 42391.69 _Iage_27 | 11849.14 15814.53 0.75 0.454 -19146.92 42845.21 _Iage_28 | 12255.99 15814.57 0.77 0.438 -18740.16 43252.15 _Iage_29 | 12712.78 15814.57 0.80 0.421 -18283.38 43708.93 _Iage_30 | 13275.35 15814.53 0.84 0.401 -17720.72 44271.41 _Iage_31 | 13772.27 15814.6 0.87 0.384 -17223.93 44768.48 _Iage_32 | 13813.94 15814.55 0.87 0.382 -17182.17 44810.06 _Iage_33 | 14547.96 15814.58 0.92 0.358 -16448.21 45544.12 _Iage_34 | 14279.21 15814.6 0.90 0.367 -16716.99 45275.42 _Iage_35 | 15284.94 15814.6 0.97 0.334 -15711.26 46281.14 _Iage_36 | 15728.81 15814.59 0.99 0.320 -15267.38 46725 _Iage_37 | 15724.37 15814.63 0.99 0.320 -15271.9 46720.65 _Iage_38 | 16072.55 15814.67 1.02 0.309 -14923.8 47068.9 _Iage_39 | 16065.4 15814.7 1.02 0.310 -14931 47061.8 _Iage_40 | 16374.69 15814.65 1.04 0.300 -14621.61 47371 _Iage_41 | 16551.21 15814.72 1.05 0.295 -14445.24 47547.66 _Iage_42 | 16513.91 15814.77 1.04 0.296 -14482.64 47510.45 _Iage_43 | 16414.75 15814.78 1.04 0.299 -14581.81 47411.3 _Iage_44 | 16539.94 15814.82 1.05 0.296 -14456.7 47536.59 _Iage_45 | 16440.3 15814.86 1.04 0.299 -14556.41 47437.02 _Iage_46 | 16464.55 15814.94 1.04 0.298 -14532.33 47461.42 _Iage_47 | 16604.16 15814.94 1.05 0.294 -14392.73 47601.04 _Iage_48 | 16638.78 15814.96 1.05 0.293 -14358.14 47635.69 _Iage_49 | 16599.32 15815.04 1.05 0.294 -14397.76 47596.4 _Iage_50 | 16318.53 15815.06 1.03 0.302 -14678.59 47315.65 _Iage_51 | 16577.57 15815.17 1.05 0.295 -14419.75 47574.9 _Iage_52 | 15748.66 15815.24 1.00 0.319 -15248.81 46746.13 _Iage_53 | 15591.58 15815.31 0.99 0.324 -15406.01 46589.18 _Iage_54 | 15526.33 15815.31 0.98 0.326 -15471.27 46523.93 _Iage_55 | 15897.84 15815.47 1.01 0.315 -15100.07 46895.76 _Iage_56 | 15334.86 15815.54 0.97 0.332 -15663.19 46332.91 _Iage_57 | 15367.62 15815.61 0.97 0.331 -15630.56 46365.8 _Iage_58 | 14843.37 15815.86 0.94 0.348 -16155.31 45842.05 _Iage_59 | 15007.51 15816.04 0.95 0.343 -15991.52 46006.54 _Iage_60 | 13763.52 15816.17 0.87 0.384 -17235.77 44762.81 _Iage_61 | 13733.74 15816.57 0.87 0.385 -17266.32 44733.81 _Iage_62 | 13096.16 15817.17 0.83 0.408 -17905.09 44097.41 _Iage_63 | 12262.24 15817.7 0.78 0.438 -18740.04 43264.52 _Iage_64 | 12266.27 15818.7 0.78 0.438 -18737.98 43270.51 _Iage_65 | 11694.08 15820.16 0.74 0.460 -19313.03 42701.19 _Iage_66 | 8951.534 15821.47 0.57 0.572 -22058.15 39961.22 _Iage_67 | 8394.081 15822.4 0.53 0.596 -22617.42 39405.58 _Iage_68 | 6921.643 15824.47 0.44 0.662 -24093.9 37937.19 _Iage_69 | 6950.376 15826.02 0.44 0.661 -24068.21 37968.96 _Iage_70 | 7038.268 15826.72 0.44 0.657 -23981.69 38058.23 _Iage_71 | 4914.77 15832.4 0.31 0.756 -26116.33 35945.87 _Iage_72 | 5257.713 15832.54 0.33 0.740 -25773.66 36289.09 _Iage_73 | 5048.098 15837.86 0.32 0.750 -25993.7 36089.89 _Iage_74 | 5524.692 15840.59 0.35 0.727 -25522.45 36571.83 _Iage_75 | 4918.451 15845.58 0.31 0.756 -26138.48 35975.39 _Iage_76 | 5849.334 15855.5 0.37 0.712 -25227.04 36925.7 _Iage_77 | 5609.848 15867.99 0.35 0.724 -25491.01 36710.7 _Iage_78 | 5597.947 15865.46 0.35 0.724 -25497.94 36693.83 _Iage_79 | 6908.198 15886.73 0.43 0.664 -24229.39 38045.79 _Iage_80 | 6963.599 15912.87 0.44 0.662 -24225.21 38152.41 _Iage_81 | 5901.779 15956.24 0.37 0.711 -25372.03 37175.59 _Iage_82 | 2388.565 16009.71 0.15 0.881 -28990.06 33767.19 _Iage_83 | 3732.804 16051.05 0.23 0.816 -27726.83 35192.44 _Iage_84 | 5773.976 16203.75 0.36 0.722 -25984.96 37532.91 _Iage_85 | 13135.17 16246.51 0.81 0.419 -18707.57 44977.92 _Iage_86 | 3957.103 16368.19 0.24 0.809 -28124.13 36038.34 _Iage_87 | 50184.61 17080.01 2.94 0.003 16708.23 83660.99 _Iage_88 | 3356.416 16516.38 0.20 0.839 -29015.26 35728.1 _Iage_89 | -1433.092 16584.98 -0.09 0.931 -33939.23 31073.05 _Iage_90 | 2515.301 16074.69 0.16 0.876 -28990.67 34021.27 _Iage_91 | 7631.119 19367.04 0.39 0.694 -30327.77 45590.01 _Iage_92 | 2149.504 22361.35 0.10 0.923 -41678.17 45977.17 _Iage_93 | 0 (omitted) _Iage_94 | 7402.124 19367.06 0.38 0.702 -30556.82 45361.06 _Iage_95 | 0 (omitted) _Iage_96 | 0 (omitted) _Iage_97 | 0 (omitted) _Iage_98 | 0 (omitted) _Iage_99 | 0 (omitted) _Irace_200 | -3188.878 122.3958 -26.05 0.000 -3428.771 -2948.986 _Irace_300 | -4089.131 603.4825 -6.78 0.000 -5271.941 -2906.321 _Irace_650 | 62.24734 330.7133 0.19 0.851 -585.9422 710.4369 _Irace_651 | 0 (omitted) _Irace_652 | 0 (omitted) _Irace_700 | -1997.565 291.1768 -6.86 0.000 -2568.264 -1426.866 _Irace_801 | 0 (omitted) _Irace_802 | 0 (omitted) _Irace_803 | 0 (omitted) _Irace_804 | 0 (omitted) _Irace_805 | 0 (omitted) _Irace_806 | 0 (omitted) _Irace_807 | 0 (omitted) _Irace_808 | 0 (omitted) _Irace_809 | 0 (omitted) _Irace_810 | 0 (omitted) _Irace_811 | 0 (omitted) _Irace_812 | 0 (omitted) _Irace_813 | 0 (omitted) _Irace_814 | 0 (omitted) _Irace_816 | 0 (omitted) _Irace_817 | 0 (omitted) _Irace_818 | 0 (omitted) _Irace_820 | 0 (omitted) _Irace_830 | 0 (omitted) _Istatefip_2 | 4694.291 469.2346 10.00 0.000 3774.603 5613.978 _Istatefip_4 | 504.938 475.0918 1.06 0.288 -426.2297 1436.106 _Istatefip_5 | -2757.751 482.2194 -5.72 0.000 -3702.888 -1812.613 _Istatefip_6 | 2092.206 350.0038 5.98 0.000 1406.208 2778.204 _Istatefip_8 | 1232.408 457.6236 2.69 0.007 335.4776 2129.339 _Istatefip_9 | 3084.141 452.942 6.81 0.000 2196.386 3971.896 _Istatefip_10 | 1840.949 511.1253 3.60 0.000 839.1567 2842.741 _Istatefip_11 | 6684.041 504.5312 13.25 0.000 5695.173 7672.909 _Istatefip_12 | 182.9513 371.2698 0.49 0.622 -544.728 910.6307 _Istatefip_13 | 2117.23 422.0183 5.02 0.000 1290.086 2944.375 _Istatefip_15 | 2011.683 526.0227 3.82 0.000 980.6918 3042.674 _Istatefip_16 | -1943.048 481.9703 -4.03 0.000 -2887.697 -998.3987 _Istatefip_17 | 2985.624 366.1271 8.15 0.000 2268.024 3703.224 _Istatefip_18 | 1183.396 409.17 2.89 0.004 381.4331 1985.358 _Istatefip_19 | -1682.956 454.851 -3.70 0.000 -2574.452 -791.4596 _Istatefip_20 | -194.3983 467.9108 -0.42 0.678 -1111.491 722.6948 _Istatefip_21 | -89.8795 456.1449 -0.20 0.844 -983.9118 804.1528 _Istatefip_22 | 949.3778 447.9975 2.12 0.034 71.31424 1827.441 _Istatefip_23 | -1315.097 502.8661 -2.62 0.009 -2300.701 -329.4924 _Istatefip_24 | 4331.912 430.8599 10.05 0.000 3487.438 5176.386 _Istatefip_25 | 3275.905 390.601 8.39 0.000 2510.338 4041.473 _Istatefip_26 | 3275.449 387.2559 8.46 0.000 2516.438 4034.461 _Istatefip_27 | 1192.702 448.5334 2.66 0.008 313.5883 2071.816 _Istatefip_28 | -1082.384 484.3429 -2.23 0.025 -2031.684 -133.0849 _Istatefip_29 | 788.1164 424.7114 1.86 0.064 -44.30697 1620.54 _Istatefip_30 | -3158.132 481.2389 -6.56 0.000 -4101.347 -2214.916 _Istatefip_31 | -2457.568 467.5445 -5.26 0.000 -3373.943 -1541.193 _Istatefip_32 | 1404.856 488.5512 2.88 0.004 447.308 2362.404 _Istatefip_33 | 1120.154 519.4398 2.16 0.031 102.0659 2138.243 _Istatefip_34 | 4690.422 374.4698 12.53 0.000 3956.471 5424.373 _Istatefip_35 | -1620.374 467.0881 -3.47 0.001 -2535.855 -704.8936 _Istatefip_36 | 2977.759 354.3829 8.40 0.000 2283.178 3672.341 _Istatefip_37 | 28.23722 390.1126 0.07 0.942 -736.3733 792.8478 _Istatefip_38 | -2607.95 476.8068 -5.47 0.000 -3542.479 -1673.421 _Istatefip_39 | 2086.693 368.3712 5.66 0.000 1364.695 2808.691 _Istatefip_40 | 100.9851 470.527 0.21 0.830 -821.2358 1023.206 _Istatefip_41 | 155.5191 467.6404 0.33 0.739 -761.044 1072.082 _Istatefip_42 | 1693.055 365.5281 4.63 0.000 976.6296 2409.481 _Istatefip_44 | 650.5873 519.3911 1.25 0.210 -367.4059 1668.581 _Istatefip_45 | 249.0156 475.0193 0.52 0.600 -682.01 1180.041 _Istatefip_46 | -4112.269 464.2286 -8.86 0.000 -5022.145 -3202.393 _Istatefip_47 | -421.3527 438.4413 -0.96 0.337 -1280.686 437.981 _Istatefip_48 | 533.2574 360.0372 1.48 0.139 -172.4063 1238.921 _Istatefip_49 | 509.501 468.1424 1.09 0.276 -408.0461 1427.048 _Istatefip_50 | -1440.319 519.8451 -2.77 0.006 -2459.202 -421.436 _Istatefip_51 | 3335.664 436.6729 7.64 0.000 2479.797 4191.532 _Istatefip_53 | 1676.528 463.9854 3.61 0.000 767.1281 2585.927 _Istatefip_54 | -770.5346 494.2136 -1.56 0.119 -1739.181 198.1114 _Istatefip_55 | 1324.97 440.7547 3.01 0.003 461.1023 2188.838 _Istatefip_56 | -675.5605 501.0137 -1.35 0.178 -1657.534 306.4134 _Istatefip_61 | 4305.15 2861.351 1.50 0.132 -1303.024 9913.324 _Istatefip_65 | 4518.783 2622.498 1.72 0.085 -621.2462 9658.811 _Istatefip_68 | 6819.729 4243.85 1.61 0.108 -1498.108 15137.57 _Istatefip_69 | 4948.195 2622.517 1.89 0.059 -191.8709 10088.26 _Istatefip_70 | 1779.835 512.4933 3.47 0.001 775.3611 2784.308 _Istatefip_71 | 2037.746 432.3846 4.71 0.000 1190.283 2885.209 _Istatefip_72 | 1287.144 605.9343 2.12 0.034 99.52792 2474.759 _Istatefip_73 | 477.9816 668.3366 0.72 0.474 -831.9409 1787.904 _Istatefip_74 | 2041.937 699.3339 2.92 0.004 671.261 3412.614 _Istatefip_75 | 1285.934 562.1091 2.29 0.022 184.2149 2387.654 _Istatefip_76 | 315.6867 541.1883 0.58 0.560 -745.0285 1376.402 _Istatefip_77 | 904.8623 783.5703 1.15 0.248 -630.9152 2440.64 _Istatefip_78 | 1419.429 687.8897 2.06 0.039 71.18297 2767.675 _Istatefip_79 | 1258.874 810.2098 1.55 0.120 -329.1164 2846.864 _Istatefip_80 | 2054.693 742.9188 2.77 0.006 598.5912 3510.795 _Istatefip_81 | -163.577 864.0367 -0.19 0.850 -1857.067 1529.913 _Istatefip_83 | 318.4957 660.1812 0.48 0.629 -975.4425 1612.434 _Istatefip_84 | -250.7759 665.1401 -0.38 0.706 -1554.433 1052.882 _Istatefip_85 | -770.0478 638.019 -1.21 0.227 -2020.549 480.453 _Istatefip_87 | -360.6795 498.7909 -0.72 0.470 -1338.297 616.9377 _Istatefip_88 | 399.9167 695.2513 0.58 0.565 -962.758 1762.591 _Istatefip_89 | 191.3006 609.2943 0.31 0.754 -1002.901 1385.502 _Istatefip_90 | 1545.861 569.4838 2.71 0.007 429.6877 2662.035 _Istatefip_99 | 3660.496 4577.656 0.80 0.424 -5311.591 12632.58 _cons | -2258.475 15816.71 -0.14 0.886 -33258.83 28741.88 ------------------------------------------------------------------------------------ . eststo t1; . * could test whether year effects are equal before *; . xi: regress incwage i.year*treat i.race i.age i.statefip if emp == 1 & year < 2000; i.year _Iyear_1962-2013 (naturally coded; _Iyear_1962 omitted) i.year*treat _IyeaXtre_# (coded as above) i.race _Irace_100-830 (naturally coded; _Irace_100 omitted) i.age _Iage_0-99 (naturally coded; _Iage_0 omitted) i.statefip _Istatefip_1-99 (naturally coded; _Istatefip_1 omitted) note: _Iyear_2000 omitted because of collinearity note: _Iyear_2001 omitted because of collinearity note: _Iyear_2002 omitted because of collinearity note: _Iyear_2003 omitted because of collinearity note: _Iyear_2004 omitted because of collinearity note: _Iyear_2005 omitted because of collinearity note: _Iyear_2006 omitted because of collinearity note: _Iyear_2007 omitted because of collinearity note: _Iyear_2008 omitted because of collinearity note: _Iyear_2009 omitted because of collinearity note: _Iyear_2010 omitted because of collinearity note: _Iyear_2011 omitted because of collinearity note: _Iyear_2012 omitted because of collinearity note: _Iyear_2013 omitted because of collinearity note: _IyeaXtre_2000 omitted because of collinearity note: _IyeaXtre_2001 omitted because of collinearity note: _IyeaXtre_2002 omitted because of collinearity note: _IyeaXtre_2003 omitted because of collinearity note: _IyeaXtre_2004 omitted because of collinearity note: _IyeaXtre_2005 omitted because of collinearity note: _IyeaXtre_2006 omitted because of collinearity note: _IyeaXtre_2007 omitted because of collinearity note: _IyeaXtre_2008 omitted because of collinearity note: _IyeaXtre_2009 omitted because of collinearity note: _IyeaXtre_2010 omitted because of collinearity note: _IyeaXtre_2011 omitted because of collinearity note: _IyeaXtre_2012 omitted because of collinearity note: _IyeaXtre_2013 omitted because of collinearity note: _Irace_651 omitted because of collinearity note: _Irace_652 omitted because of collinearity note: _Irace_801 omitted because of collinearity note: _Irace_802 omitted because of collinearity note: _Irace_803 omitted because of collinearity note: _Irace_804 omitted because of collinearity note: _Irace_805 omitted because of collinearity note: _Irace_806 omitted because of collinearity note: _Irace_807 omitted because of collinearity note: _Irace_808 omitted because of collinearity note: _Irace_809 omitted because of collinearity note: _Irace_810 omitted because of collinearity note: _Irace_811 omitted because of collinearity note: _Irace_812 omitted because of collinearity note: _Irace_813 omitted because of collinearity note: _Irace_814 omitted because of collinearity note: _Irace_816 omitted because of collinearity note: _Irace_817 omitted because of collinearity note: _Irace_818 omitted because of collinearity note: _Irace_820 omitted because of collinearity note: _Irace_830 omitted because of collinearity note: _Iage_1 omitted because of collinearity note: _Iage_2 omitted because of collinearity note: _Iage_3 omitted because of collinearity note: _Iage_4 omitted because of collinearity note: _Iage_5 omitted because of collinearity note: _Iage_6 omitted because of collinearity note: _Iage_7 omitted because of collinearity note: _Iage_8 omitted because of collinearity note: _Iage_9 omitted because of collinearity note: _Iage_10 omitted because of collinearity note: _Iage_11 omitted because of collinearity note: _Iage_12 omitted because of collinearity note: _Iage_13 omitted because of collinearity note: _Iage_95 omitted because of collinearity note: _Iage_96 omitted because of collinearity note: _Iage_97 omitted because of collinearity note: _Iage_98 omitted because of collinearity note: _Iage_99 omitted because of collinearity note: _Istatefip_23 omitted because of collinearity Source | SS df MS Number of obs = 231066 -------------+------------------------------ F(233,230832) = 306.06 Model | 1.7737e+13 233 7.6125e+10 Prob > F = 0.0000 Residual | 5.7413e+13230832 248722539 R-squared = 0.2360 -------------+------------------------------ Adj R-squared = 0.2353 Total | 7.5150e+13231065 325234309 Root MSE = 15771 -------------------------------------------------------------------------------- incwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------------+---------------------------------------------------------------- _Iyear_1963 | 225.8623 603.3994 0.37 0.708 -956.785 1408.51 _Iyear_1964 | 481.3733 537.3891 0.90 0.370 -571.8954 1534.642 _Iyear_1965 | 743.0466 536.0442 1.39 0.166 -307.5862 1793.679 _Iyear_1966 | 947.9819 469.348 2.02 0.043 28.07185 1867.892 _Iyear_1967 | 1433.478 509.2674 2.81 0.005 435.3267 2431.629 _Iyear_1968 | 1341.278 464.5518 2.89 0.004 430.768 2251.787 _Iyear_1969 | 1661.685 461.3149 3.60 0.000 757.5199 2565.851 _Iyear_1970 | 2236.599 465.1465 4.81 0.000 1324.923 3148.274 _Iyear_1971 | 2649.208 464.7434 5.70 0.000 1738.323 3560.093 _Iyear_1972 | 2885.538 467.0034 6.18 0.000 1970.223 3800.852 _Iyear_1973 | 3450.432 468.8125 7.36 0.000 2531.571 4369.292 _Iyear_1974 | 4206.21 468.9572 8.97 0.000 3287.066 5125.354 _Iyear_1975 | 4485.89 471.532 9.51 0.000 3561.7 5410.081 _Iyear_1976 | 5048.332 469.2788 10.76 0.000 4128.557 5968.106 _Iyear_1977 | 6414.046 461.79 13.89 0.000 5508.95 7319.143 _Iyear_1978 | 7043.765 458.834 15.35 0.000 6144.462 7943.068 _Iyear_1979 | 7665.154 459.4645 16.68 0.000 6764.615 8565.693 _Iyear_1980 | 8851.848 448.6746 19.73 0.000 7972.457 9731.238 _Iyear_1981 | 9627.728 448.7323 21.46 0.000 8748.224 10507.23 _Iyear_1982 | 10417.15 457.1555 22.79 0.000 9521.135 11313.16 _Iyear_1983 | 11382.6 457.0145 24.91 0.000 10486.86 12278.34 _Iyear_1984 | 11699.32 453.0109 25.83 0.000 10811.44 12587.21 _Iyear_1985 | 12864.91 454.4707 28.31 0.000 11974.16 13755.66 _Iyear_1986 | 13556.7 454.7423 29.81 0.000 12665.42 14447.98 _Iyear_1987 | 13923.75 454.8329 30.61 0.000 13032.29 14815.21 _Iyear_1988 | 14651.8 453.3874 32.32 0.000 13763.18 15540.43 _Iyear_1989 | 15885.35 455.754 34.86 0.000 14992.09 16778.62 _Iyear_1990 | 16885.1 452.7282 37.30 0.000 15997.76 17772.44 _Iyear_1991 | 17043.83 452.5301 37.66 0.000 16156.88 17930.77 _Iyear_1992 | 17497.98 455.6437 38.40 0.000 16604.93 18391.03 _Iyear_1993 | 18066.54 455.6538 39.65 0.000 17173.47 18959.61 _Iyear_1994 | 18713.64 455.5095 41.08 0.000 17820.86 19606.43 _Iyear_1995 | 19989.72 457.7127 43.67 0.000 19092.61 20886.82 _Iyear_1996 | 22297.46 466.4132 47.81 0.000 21383.3 23211.61 _Iyear_1997 | 24347.66 463.6069 52.52 0.000 23439 25256.32 _Iyear_1998 | 24461.15 461.2657 53.03 0.000 23557.08 25365.21 _Iyear_1999 | 25396.76 463.0492 54.85 0.000 24489.19 26304.32 _Iyear_2000 | 0 (omitted) _Iyear_2001 | 0 (omitted) _Iyear_2002 | 0 (omitted) _Iyear_2003 | 0 (omitted) _Iyear_2004 | 0 (omitted) _Iyear_2005 | 0 (omitted) _Iyear_2006 | 0 (omitted) _Iyear_2007 | 0 (omitted) _Iyear_2008 | 0 (omitted) _Iyear_2009 | 0 (omitted) _Iyear_2010 | 0 (omitted) _Iyear_2011 | 0 (omitted) _Iyear_2012 | 0 (omitted) _Iyear_2013 | 0 (omitted) treat | -1060.716 805.0962 -1.32 0.188 -2638.683 517.2523 _IyeaXtre_1963 | 544.6318 993.2678 0.55 0.583 -1402.147 2491.411 _IyeaXtre_1964 | 58.06404 876.7774 0.07 0.947 -1660.397 1776.525 _IyeaXtre_1965 | 135.4431 874.6503 0.15 0.877 -1578.849 1849.735 _IyeaXtre_1966 | -11.4419 759.9339 -0.02 0.988 -1500.893 1478.009 _IyeaXtre_1967 | 132.2944 828.6163 0.16 0.873 -1491.772 1756.361 _IyeaXtre_1968 | 397.0814 808.3769 0.49 0.623 -1187.317 1981.479 _IyeaXtre_1969 | 665.8406 808.8772 0.82 0.410 -919.5379 2251.219 _IyeaXtre_1970 | 791.9798 806.1379 0.98 0.326 -788.0299 2371.989 _IyeaXtre_1971 | 733.6739 809.3265 0.91 0.365 -852.5851 2319.933 _IyeaXtre_1972 | 378.5005 822.5458 0.46 0.645 -1233.668 1990.669 _IyeaXtre_1973 | 21.82352 850.3722 0.03 0.980 -1644.884 1688.531 _IyeaXtre_1974 | -90.99019 849.5334 -0.11 0.915 -1756.054 1574.073 _IyeaXtre_1975 | -126.9077 853.5167 -0.15 0.882 -1799.778 1545.963 _IyeaXtre_1976 | 135.1844 846.6698 0.16 0.873 -1524.267 1794.635 _IyeaXtre_1977 | -444.9934 745.6584 -0.60 0.551 -1906.465 1016.478 _IyeaXtre_1978 | -395.2814 746.657 -0.53 0.597 -1858.71 1068.147 _IyeaXtre_1979 | 73.20825 744.3624 0.10 0.922 -1385.723 1532.139 _IyeaXtre_1980 | -324.4343 732.3232 -0.44 0.658 -1759.769 1110.9 _IyeaXtre_1981 | -250.1545 729.3272 -0.34 0.732 -1679.617 1179.308 _IyeaXtre_1982 | -544.1103 741.9582 -0.73 0.463 -1998.329 910.1087 _IyeaXtre_1983 | -245.8886 745.8109 -0.33 0.742 -1707.659 1215.881 _IyeaXtre_1984 | -621.9274 741.5485 -0.84 0.402 -2075.343 831.4885 _IyeaXtre_1985 | -488.6095 739.6082 -0.66 0.509 -1938.223 961.0035 _IyeaXtre_1986 | -357.2541 744.532 -0.48 0.631 -1816.518 1102.01 _IyeaXtre_1987 | 190.9235 742.5201 0.26 0.797 -1264.397 1646.244 _IyeaXtre_1988 | 141.0614 742.6749 0.19 0.849 -1314.562 1596.685 _IyeaXtre_1989 | -143.4795 752.2728 -0.19 0.849 -1617.915 1330.956 _IyeaXtre_1990 | -457.0251 739.3784 -0.62 0.536 -1906.188 992.1375 _IyeaXtre_1991 | 413.268 739.8896 0.56 0.576 -1036.897 1863.433 _IyeaXtre_1992 | 327.1424 743.3022 0.44 0.660 -1129.711 1783.995 _IyeaXtre_1993 | 91.51025 741.634 0.12 0.902 -1362.073 1545.094 _IyeaXtre_1994 | -125.0592 746.1218 -0.17 0.867 -1587.439 1337.32 _IyeaXtre_1995 | -211.4823 745.4511 -0.28 0.777 -1672.547 1249.583 _IyeaXtre_1996 | 9.410847 763.3488 0.01 0.990 -1486.733 1505.555 _IyeaXtre_1997 | -776.7554 757.4999 -1.03 0.305 -2261.436 707.9249 _IyeaXtre_1998 | 498.8739 754.616 0.66 0.509 -980.154 1977.902 _IyeaXtre_1999 | 150.7187 755.8447 0.20 0.842 -1330.717 1632.155 _IyeaXtre_2000 | 0 (omitted) _IyeaXtre_2001 | 0 (omitted) _IyeaXtre_2002 | 0 (omitted) _IyeaXtre_2003 | 0 (omitted) _IyeaXtre_2004 | 0 (omitted) _IyeaXtre_2005 | 0 (omitted) _IyeaXtre_2006 | 0 (omitted) _IyeaXtre_2007 | 0 (omitted) _IyeaXtre_2008 | 0 (omitted) _IyeaXtre_2009 | 0 (omitted) _IyeaXtre_2010 | 0 (omitted) _IyeaXtre_2011 | 0 (omitted) _IyeaXtre_2012 | 0 (omitted) _IyeaXtre_2013 | 0 (omitted) _Irace_200 | -3219.91 122.1288 -26.36 0.000 -3459.279 -2980.541 _Irace_300 | -4654.826 602.869 -7.72 0.000 -5836.433 -3473.218 _Irace_650 | -444.5481 331.1119 -1.34 0.179 -1093.519 204.4226 _Irace_651 | 0 (omitted) _Irace_652 | 0 (omitted) _Irace_700 | -1568.281 291.5164 -5.38 0.000 -2139.646 -996.9167 _Irace_801 | 0 (omitted) _Irace_802 | 0 (omitted) _Irace_803 | 0 (omitted) _Irace_804 | 0 (omitted) _Irace_805 | 0 (omitted) _Irace_806 | 0 (omitted) _Irace_807 | 0 (omitted) _Irace_808 | 0 (omitted) _Irace_809 | 0 (omitted) _Irace_810 | 0 (omitted) _Irace_811 | 0 (omitted) _Irace_812 | 0 (omitted) _Irace_813 | 0 (omitted) _Irace_814 | 0 (omitted) _Irace_816 | 0 (omitted) _Irace_817 | 0 (omitted) _Irace_818 | 0 (omitted) _Irace_820 | 0 (omitted) _Irace_830 | 0 (omitted) _Iage_1 | 0 (omitted) _Iage_2 | 0 (omitted) _Iage_3 | 0 (omitted) _Iage_4 | 0 (omitted) _Iage_5 | 0 (omitted) _Iage_6 | 0 (omitted) _Iage_7 | 0 (omitted) _Iage_8 | 0 (omitted) _Iage_9 | 0 (omitted) _Iage_10 | 0 (omitted) _Iage_11 | 0 (omitted) _Iage_12 | 0 (omitted) _Iage_13 | 0 (omitted) _Iage_14 | -6291.94 3.10e+07 -0.00 1.000 -6.07e+07 6.07e+07 _Iage_15 | -10634.99 3.10e+07 -0.00 1.000 -6.07e+07 6.07e+07 _Iage_16 | -11467.4 3.10e+07 -0.00 1.000 -6.07e+07 6.07e+07 _Iage_17 | -11067.76 3.10e+07 -0.00 1.000 -6.07e+07 6.07e+07 _Iage_18 | -10038.19 3.10e+07 -0.00 1.000 -6.07e+07 6.07e+07 _Iage_19 | -8499.109 3.10e+07 -0.00 1.000 -6.07e+07 6.07e+07 _Iage_20 | -7387.984 3.10e+07 -0.00 1.000 -6.07e+07 6.07e+07 _Iage_21 | -6601.949 3.10e+07 -0.00 1.000 -6.07e+07 6.07e+07 _Iage_22 | -5698.818 3.10e+07 -0.00 1.000 -6.07e+07 6.07e+07 _Iage_23 | -4574.019 3.10e+07 -0.00 1.000 -6.07e+07 6.07e+07 _Iage_24 | -3430.706 3.10e+07 -0.00 1.000 -6.07e+07 6.07e+07 _Iage_25 | -2067.553 3.10e+07 -0.00 1.000 -6.07e+07 6.07e+07 _Iage_26 | -1192.967 3.10e+07 -0.00 1.000 -6.07e+07 6.07e+07 _Iage_27 | -720.9494 3.10e+07 -0.00 1.000 -6.07e+07 6.07e+07 _Iage_28 | -329.2714 3.10e+07 -0.00 1.000 -6.07e+07 6.07e+07 _Iage_29 | 123.9425 3.10e+07 0.00 1.000 -6.07e+07 6.07e+07 _Iage_30 | 698.0955 3.10e+07 0.00 1.000 -6.07e+07 6.07e+07 _Iage_31 | 1155.126 3.10e+07 0.00 1.000 -6.07e+07 6.07e+07 _Iage_32 | 1200.345 3.10e+07 0.00 1.000 -6.07e+07 6.07e+07 _Iage_33 | 1887.969 3.10e+07 0.00 1.000 -6.07e+07 6.07e+07 _Iage_34 | 1636.09 3.10e+07 0.00 1.000 -6.07e+07 6.07e+07 _Iage_35 | 2586.221 3.10e+07 0.00 1.000 -6.07e+07 6.07e+07 _Iage_36 | 3012.942 3.10e+07 0.00 1.000 -6.07e+07 6.07e+07 _Iage_37 | 3011.796 3.10e+07 0.00 1.000 -6.07e+07 6.07e+07 _Iage_38 | 3341.831 3.10e+07 0.00 1.000 -6.07e+07 6.07e+07 _Iage_39 | 3306.968 3.10e+07 0.00 1.000 -6.07e+07 6.07e+07 _Iage_40 | 3649.995 3.10e+07 0.00 1.000 -6.07e+07 6.07e+07 _Iage_41 | 3791.169 3.10e+07 0.00 1.000 -6.07e+07 6.07e+07 _Iage_42 | 3735.842 3.10e+07 0.00 1.000 -6.07e+07 6.07e+07 _Iage_43 | 3639.469 3.10e+07 0.00 1.000 -6.07e+07 6.07e+07 _Iage_44 | 3704.62 3.10e+07 0.00 1.000 -6.07e+07 6.07e+07 _Iage_45 | 3644.351 3.10e+07 0.00 1.000 -6.07e+07 6.07e+07 _Iage_46 | 3676.302 3.10e+07 0.00 1.000 -6.07e+07 6.07e+07 _Iage_47 | 3856.25 3.10e+07 0.00 1.000 -6.07e+07 6.07e+07 _Iage_48 | 3877.077 3.10e+07 0.00 1.000 -6.07e+07 6.07e+07 _Iage_49 | 3779.67 3.10e+07 0.00 1.000 -6.07e+07 6.07e+07 _Iage_50 | 3525.984 3.10e+07 0.00 1.000 -6.07e+07 6.07e+07 _Iage_51 | 3787.296 3.10e+07 0.00 1.000 -6.07e+07 6.07e+07 _Iage_52 | 3040.208 3.10e+07 0.00 1.000 -6.07e+07 6.07e+07 _Iage_53 | 2895.572 3.10e+07 0.00 1.000 -6.07e+07 6.07e+07 _Iage_54 | 2773.019 3.10e+07 0.00 1.000 -6.07e+07 6.07e+07 _Iage_55 | 3164.503 3.10e+07 0.00 1.000 -6.07e+07 6.07e+07 _Iage_56 | 2610.766 3.10e+07 0.00 1.000 -6.07e+07 6.07e+07 _Iage_57 | 2690.004 3.10e+07 0.00 1.000 -6.07e+07 6.07e+07 _Iage_58 | 2151.346 3.10e+07 0.00 1.000 -6.07e+07 6.07e+07 _Iage_59 | 2348.123 3.10e+07 0.00 1.000 -6.07e+07 6.07e+07 _Iage_60 | 1091.615 3.10e+07 0.00 1.000 -6.07e+07 6.07e+07 _Iage_61 | 1046.837 3.10e+07 0.00 1.000 -6.07e+07 6.07e+07 _Iage_62 | 436.151 3.10e+07 0.00 1.000 -6.07e+07 6.07e+07 _Iage_63 | -436.5175 3.10e+07 -0.00 1.000 -6.07e+07 6.07e+07 _Iage_64 | -434.0585 3.10e+07 -0.00 1.000 -6.07e+07 6.07e+07 _Iage_65 | -1074.579 3.10e+07 -0.00 1.000 -6.07e+07 6.07e+07 _Iage_66 | -3793.116 3.10e+07 -0.00 1.000 -6.07e+07 6.07e+07 _Iage_67 | -4325.618 3.10e+07 -0.00 1.000 -6.07e+07 6.07e+07 _Iage_68 | -5824.493 3.10e+07 -0.00 1.000 -6.07e+07 6.07e+07 _Iage_69 | -5760.177 3.10e+07 -0.00 1.000 -6.07e+07 6.07e+07 _Iage_70 | -5690.697 3.10e+07 -0.00 1.000 -6.07e+07 6.07e+07 _Iage_71 | -7847.783 3.10e+07 -0.00 1.000 -6.07e+07 6.07e+07 _Iage_72 | -7474.273 3.10e+07 -0.00 1.000 -6.07e+07 6.07e+07 _Iage_73 | -7597.593 3.10e+07 -0.00 1.000 -6.07e+07 6.07e+07 _Iage_74 | -7217.822 3.10e+07 -0.00 1.000 -6.07e+07 6.07e+07 _Iage_75 | -7860.638 3.10e+07 -0.00 1.000 -6.07e+07 6.07e+07 _Iage_76 | -6946.131 3.10e+07 -0.00 1.000 -6.07e+07 6.07e+07 _Iage_77 | -7246.067 3.10e+07 -0.00 1.000 -6.07e+07 6.07e+07 _Iage_78 | -7208.022 3.10e+07 -0.00 1.000 -6.07e+07 6.07e+07 _Iage_79 | -5789.235 3.10e+07 -0.00 1.000 -6.07e+07 6.07e+07 _Iage_80 | -5704.687 3.10e+07 -0.00 1.000 -6.07e+07 6.07e+07 _Iage_81 | -6992.461 3.10e+07 -0.00 1.000 -6.07e+07 6.07e+07 _Iage_82 | -10207.24 3.10e+07 -0.00 1.000 -6.07e+07 6.07e+07 _Iage_83 | -9337.465 3.10e+07 -0.00 1.000 -6.07e+07 6.07e+07 _Iage_84 | -7207.571 3.10e+07 -0.00 1.000 -6.07e+07 6.07e+07 _Iage_85 | 114.9503 3.10e+07 0.00 1.000 -6.07e+07 6.07e+07 _Iage_86 | -8507.743 3.10e+07 -0.00 1.000 -6.07e+07 6.07e+07 _Iage_87 | 37466.8 3.10e+07 0.00 0.999 -6.06e+07 6.07e+07 _Iage_88 | -9036.259 3.10e+07 -0.00 1.000 -6.07e+07 6.07e+07 _Iage_89 | -14528.67 3.10e+07 -0.00 1.000 -6.07e+07 6.07e+07 _Iage_90 | -10253.33 3.10e+07 -0.00 1.000 -6.07e+07 6.07e+07 _Iage_91 | -5669.952 3.10e+07 -0.00 1.000 -6.07e+07 6.07e+07 _Iage_92 | -9118.779 3.10e+07 -0.00 1.000 -6.07e+07 6.07e+07 _Iage_93 | -12047.85 3.10e+07 -0.00 1.000 -6.07e+07 6.07e+07 _Iage_94 | -5966.125 3.10e+07 -0.00 1.000 -6.07e+07 6.07e+07 _Iage_95 | 0 (omitted) _Iage_96 | 0 (omitted) _Iage_97 | 0 (omitted) _Iage_98 | 0 (omitted) _Iage_99 | 0 (omitted) _Istatefip_2 | 5015.977 468.3842 10.71 0.000 4097.956 5933.998 _Istatefip_4 | 1654.431 502.5876 3.29 0.001 669.3719 2639.49 _Istatefip_5 | -2650.514 481.1797 -5.51 0.000 -3593.614 -1707.415 _Istatefip_6 | 3327.176 391.8821 8.49 0.000 2559.097 4095.255 _Istatefip_8 | 1317.628 456.6741 2.89 0.004 422.5585 2212.698 _Istatefip_9 | 3211.794 452.4424 7.10 0.000 2325.018 4098.569 _Istatefip_10 | 2001.072 510.0801 3.92 0.000 1001.328 3000.816 _Istatefip_11 | 6844.182 503.8359 13.58 0.000 5856.677 7831.688 _Istatefip_12 | 377.9009 371.3795 1.02 0.309 -349.9934 1105.795 _Istatefip_13 | 3175.827 458.3317 6.93 0.000 2277.508 4074.145 _Istatefip_15 | 2265.332 525.0871 4.31 0.000 1236.174 3294.489 _Istatefip_16 | -1772.631 480.9812 -3.69 0.000 -2715.342 -829.9201 _Istatefip_17 | 3129.475 366.5404 8.54 0.000 2411.065 3847.884 _Istatefip_18 | 1389.429 409.5422 3.39 0.001 586.737 2192.121 _Istatefip_19 | -501.6366 484.326 -1.04 0.300 -1450.903 447.6298 _Istatefip_20 | -80.40565 466.9216 -0.17 0.863 -995.5599 834.7486 _Istatefip_21 | 994.0131 487.7301 2.04 0.042 38.07471 1949.952 _Istatefip_22 | 948.896 447.6511 2.12 0.034 71.51137 1826.281 _Istatefip_23 | 0 (omitted) _Istatefip_24 | 4402.247 430.6669 10.22 0.000 3558.151 5246.343 _Istatefip_25 | 4599.834 426.1527 10.79 0.000 3764.585 5435.082 _Istatefip_26 | 4354.647 422.5665 10.31 0.000 3526.428 5182.867 _Istatefip_27 | 2371.04 479.1378 4.95 0.000 1431.942 3310.137 _Istatefip_28 | 119.3536 513.4993 0.23 0.816 -887.0919 1125.799 _Istatefip_29 | 1851.083 460.2749 4.02 0.000 948.9561 2753.21 _Istatefip_30 | -2942.223 480.2793 -6.13 0.000 -3883.558 -2000.888 _Istatefip_31 | -2365.929 466.5208 -5.07 0.000 -3280.297 -1451.56 _Istatefip_32 | 1616.77 487.7273 3.31 0.001 660.8374 2572.703 _Istatefip_33 | 2483.523 544.0845 4.56 0.000 1417.131 3549.914 _Istatefip_34 | 4889.061 374.6638 13.05 0.000 4154.729 5623.392 _Istatefip_35 | -390.9604 494.5873 -0.79 0.429 -1360.339 578.4179 _Istatefip_36 | 3124.601 354.7766 8.81 0.000 2429.248 3819.954 _Istatefip_37 | 212.7178 389.8818 0.55 0.585 -551.4404 976.8761 _Istatefip_38 | -2365.592 475.8752 -4.97 0.000 -3298.296 -1432.889 _Istatefip_39 | 3310.31 409.5989 8.08 0.000 2507.507 4113.114 _Istatefip_40 | 127.2862 469.5321 0.27 0.786 -792.9846 1047.557 _Istatefip_41 | 241.3764 467.0402 0.52 0.605 -674.0105 1156.763 _Istatefip_42 | 1840.667 365.983 5.03 0.000 1123.35 2557.984 _Istatefip_44 | 726.8061 518.2401 1.40 0.161 -288.9312 1742.543 _Istatefip_45 | 218.8488 474.0254 0.46 0.644 -710.2289 1147.926 _Istatefip_46 | -3842.206 463.3598 -8.29 0.000 -4750.38 -2934.033 _Istatefip_47 | -418.2497 438.0596 -0.95 0.340 -1276.835 440.3358 _Istatefip_48 | 738.789 360.2572 2.05 0.040 32.6941 1444.884 _Istatefip_49 | 633.8804 467.1866 1.36 0.175 -281.7933 1549.554 _Istatefip_50 | -1195.864 518.8895 -2.30 0.021 -2212.874 -178.8537 _Istatefip_51 | 4527.997 468.7646 9.66 0.000 3609.23 5446.764 _Istatefip_53 | 1655.258 462.9469 3.58 0.000 747.8938 2562.622 _Istatefip_54 | 317.2054 522.2173 0.61 0.544 -706.327 1340.738 _Istatefip_55 | 1196.279 439.8129 2.72 0.007 334.2567 2058.301 _Istatefip_56 | -515.105 500.0465 -1.03 0.303 -1495.183 464.9733 _Istatefip_61 | 1024.021 2878.782 0.36 0.722 -4618.317 6666.359 _Istatefip_65 | 1177.216 2642.761 0.45 0.656 -4002.528 6356.96 _Istatefip_68 | 3248.599 4250.127 0.76 0.445 -5081.54 11578.74 _Istatefip_69 | 1625.249 2642.754 0.61 0.539 -3554.48 6804.978 _Istatefip_70 | 2029.309 529.0861 3.84 0.000 992.3134 3066.304 _Istatefip_71 | 2762.08 445.6454 6.20 0.000 1888.626 3635.533 _Istatefip_72 | 1560.313 619.5883 2.52 0.012 345.9356 2774.69 _Istatefip_73 | 745.9267 680.4692 1.10 0.273 -587.7753 2079.629 _Istatefip_74 | 2346.872 710.8695 3.30 0.001 953.5858 3740.158 _Istatefip_75 | 1572.226 577.1118 2.72 0.006 441.1018 2703.35 _Istatefip_76 | 1032.214 551.3663 1.87 0.061 -48.44952 2112.878 _Istatefip_77 | 1183.431 793.4881 1.49 0.136 -371.7855 2738.647 _Istatefip_78 | 1735.783 699.7778 2.48 0.013 364.2362 3107.329 _Istatefip_79 | 1572.075 819.8512 1.92 0.055 -34.81202 3178.963 _Istatefip_80 | 2306.591 753.8098 3.06 0.002 829.1436 3784.039 _Istatefip_81 | 1196.513 877.906 1.36 0.173 -524.16 2917.186 _Istatefip_83 | 1683.654 679.3764 2.48 0.013 352.0936 3015.214 _Istatefip_84 | 1127.18 684.1636 1.65 0.099 -213.7633 2468.123 _Istatefip_85 | 600.199 657.9832 0.91 0.362 -689.4311 1889.829 _Istatefip_87 | 1005.677 524.7752 1.92 0.055 -22.86875 2034.223 _Istatefip_88 | 1735.478 713.3946 2.43 0.015 337.2427 3133.713 _Istatefip_89 | 1582.881 630.4599 2.51 0.012 347.1962 2818.567 _Istatefip_90 | 2910.472 592.1394 4.92 0.000 1749.894 4071.05 _Istatefip_99 | 1983.167 4571.13 0.43 0.664 -6976.13 10942.46 _cons | 1503.414 3.10e+07 0.00 1.000 -6.07e+07 6.07e+07 -------------------------------------------------------------------------------- . local testvals _IyeaXtre_1963; . forvalues y=1964/1999 > {; 2. local testvals `testvals' = _IyeaXtre_`y'; 3. }; . test `testvals' = 0; ( 1) _IyeaXtre_1963 - _IyeaXtre_1964 = 0 ( 2) _IyeaXtre_1963 - _IyeaXtre_1965 = 0 ( 3) _IyeaXtre_1963 - _IyeaXtre_1966 = 0 ( 4) _IyeaXtre_1963 - _IyeaXtre_1967 = 0 ( 5) _IyeaXtre_1963 - _IyeaXtre_1968 = 0 ( 6) _IyeaXtre_1963 - _IyeaXtre_1969 = 0 ( 7) _IyeaXtre_1963 - _IyeaXtre_1970 = 0 ( 8) _IyeaXtre_1963 - _IyeaXtre_1971 = 0 ( 9) _IyeaXtre_1963 - _IyeaXtre_1972 = 0 (10) _IyeaXtre_1963 - _IyeaXtre_1973 = 0 (11) _IyeaXtre_1963 - _IyeaXtre_1974 = 0 (12) _IyeaXtre_1963 - _IyeaXtre_1975 = 0 (13) _IyeaXtre_1963 - _IyeaXtre_1976 = 0 (14) _IyeaXtre_1963 - _IyeaXtre_1977 = 0 (15) _IyeaXtre_1963 - _IyeaXtre_1978 = 0 (16) _IyeaXtre_1963 - _IyeaXtre_1979 = 0 (17) _IyeaXtre_1963 - _IyeaXtre_1980 = 0 (18) _IyeaXtre_1963 - _IyeaXtre_1981 = 0 (19) _IyeaXtre_1963 - _IyeaXtre_1982 = 0 (20) _IyeaXtre_1963 - _IyeaXtre_1983 = 0 (21) _IyeaXtre_1963 - _IyeaXtre_1984 = 0 (22) _IyeaXtre_1963 - _IyeaXtre_1985 = 0 (23) _IyeaXtre_1963 - _IyeaXtre_1986 = 0 (24) _IyeaXtre_1963 - _IyeaXtre_1987 = 0 (25) _IyeaXtre_1963 - _IyeaXtre_1988 = 0 (26) _IyeaXtre_1963 - _IyeaXtre_1989 = 0 (27) _IyeaXtre_1963 - _IyeaXtre_1990 = 0 (28) _IyeaXtre_1963 - _IyeaXtre_1991 = 0 (29) _IyeaXtre_1963 - _IyeaXtre_1992 = 0 (30) _IyeaXtre_1963 - _IyeaXtre_1993 = 0 (31) _IyeaXtre_1963 - _IyeaXtre_1994 = 0 (32) _IyeaXtre_1963 - _IyeaXtre_1995 = 0 (33) _IyeaXtre_1963 - _IyeaXtre_1996 = 0 (34) _IyeaXtre_1963 - _IyeaXtre_1997 = 0 (35) _IyeaXtre_1963 - _IyeaXtre_1998 = 0 (36) _IyeaXtre_1963 - _IyeaXtre_1999 = 0 (37) _IyeaXtre_1963 = 0 F( 37,230832) = 0.71 Prob > F = 0.9093 . eststo t2; . *** E.2. diff-in-diff regression *****; . xi: regress incwage treat_after i.age i.race i.statefip i.year if emp == 1; i.age _Iage_0-99 (naturally coded; _Iage_0 omitted) i.race _Irace_100-830 (naturally coded; _Irace_100 omitted) i.statefip _Istatefip_1-99 (naturally coded; _Istatefip_1 omitted) i.year _Iyear_1962-2013 (naturally coded; _Iyear_1962 omitted) note: _Iage_1 omitted because of collinearity note: _Iage_2 omitted because of collinearity note: _Iage_3 omitted because of collinearity note: _Iage_4 omitted because of collinearity note: _Iage_5 omitted because of collinearity note: _Iage_6 omitted because of collinearity note: _Iage_7 omitted because of collinearity note: _Iage_8 omitted because of collinearity note: _Iage_9 omitted because of collinearity note: _Iage_10 omitted because of collinearity note: _Iage_11 omitted because of collinearity note: _Iage_12 omitted because of collinearity note: _Iage_13 omitted because of collinearity note: _Iage_92 omitted because of collinearity note: _Iage_95 omitted because of collinearity note: _Iage_96 omitted because of collinearity note: _Iage_97 omitted because of collinearity note: _Iage_98 omitted because of collinearity note: _Iage_99 omitted because of collinearity note: _Irace_817 omitted because of collinearity note: _Irace_818 omitted because of collinearity Source | SS df MS Number of obs = 364579 -------------+------------------------------ F(229,364349) = 372.04 Model | 8.2687e+13 229 3.6108e+11 Prob > F = 0.0000 Residual | 3.5362e+14364349 970544176 R-squared = 0.1895 -------------+------------------------------ Adj R-squared = 0.1890 Total | 4.3630e+14364578 1.1967e+09 Root MSE = 31154 ------------------------------------------------------------------------------- incwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] --------------+---------------------------------------------------------------- treat_after | -61.27473 233.4531 -0.26 0.793 -518.8359 396.2864 _Iage_1 | 0 (omitted) _Iage_2 | 0 (omitted) _Iage_3 | 0 (omitted) _Iage_4 | 0 (omitted) _Iage_5 | 0 (omitted) _Iage_6 | 0 (omitted) _Iage_7 | 0 (omitted) _Iage_8 | 0 (omitted) _Iage_9 | 0 (omitted) _Iage_10 | 0 (omitted) _Iage_11 | 0 (omitted) _Iage_12 | 0 (omitted) _Iage_13 | 0 (omitted) _Iage_14 | 3104.562 31182.46 0.10 0.921 -58012.14 64221.26 _Iage_15 | -5416.523 31167.21 -0.17 0.862 -66503.34 55670.3 _Iage_16 | -7668.134 31162.74 -0.25 0.806 -68746.18 53409.91 _Iage_17 | -8165.95 31161.05 -0.26 0.793 -69240.68 52908.78 _Iage_18 | -6697.985 31160.46 -0.21 0.830 -67771.56 54375.59 _Iage_19 | -4066.39 31160.28 -0.13 0.896 -65139.63 57006.85 _Iage_20 | -2786.742 31160.18 -0.09 0.929 -63859.78 58286.29 _Iage_21 | -1368.144 31160.04 -0.04 0.965 -62440.9 59704.62 _Iage_22 | -234.9742 31159.95 -0.01 0.994 -61307.55 60837.6 _Iage_23 | 1386.135 31159.81 0.04 0.965 -59686.17 62458.44 _Iage_24 | 2775.919 31159.76 0.09 0.929 -58296.29 63848.13 _Iage_25 | 5404.716 31159.7 0.17 0.862 -55667.37 66476.8 _Iage_26 | 6336.16 31159.7 0.20 0.839 -54735.93 67408.25 _Iage_27 | 7100.097 31159.64 0.23 0.820 -53971.89 68172.08 _Iage_28 | 7864.388 31159.66 0.25 0.801 -53207.63 68936.41 _Iage_29 | 8524.31 31159.66 0.27 0.784 -52547.7 69596.32 _Iage_30 | 9131.506 31159.6 0.29 0.769 -51940.39 70203.41 _Iage_31 | 10680.08 31159.63 0.34 0.732 -50391.88 71752.04 _Iage_32 | 10860.56 31159.57 0.35 0.727 -50211.29 71932.4 _Iage_33 | 11320.22 31159.63 0.36 0.716 -49751.73 72392.17 _Iage_34 | 11568.37 31159.63 0.37 0.710 -49503.58 72640.32 _Iage_35 | 12861.35 31159.61 0.41 0.680 -48210.56 73933.26 _Iage_36 | 13573.52 31159.61 0.44 0.663 -47498.4 74645.44 _Iage_37 | 13492.38 31159.65 0.43 0.665 -47579.61 74564.36 _Iage_38 | 13779.68 31159.64 0.44 0.658 -47292.3 74851.66 _Iage_39 | 14577.39 31159.63 0.47 0.640 -46494.56 75649.35 _Iage_40 | 15148.6 31159.55 0.49 0.627 -45923.21 76220.4 _Iage_41 | 15508.01 31159.62 0.50 0.619 -45563.91 76579.94 _Iage_42 | 15547.14 31159.65 0.50 0.618 -45524.87 76619.14 _Iage_43 | 15738.61 31159.67 0.51 0.613 -45333.42 76810.64 _Iage_44 | 15766.66 31159.68 0.51 0.613 -45305.39 76838.71 _Iage_45 | 15713.65 31159.73 0.50 0.614 -45358.49 76785.79 _Iage_46 | 15226.35 31159.79 0.49 0.625 -45845.91 76298.62 _Iage_47 | 15468.82 31159.78 0.50 0.620 -45603.43 76541.07 _Iage_48 | 16414.13 31159.79 0.53 0.598 -44658.14 77486.41 _Iage_49 | 16747.62 31159.93 0.54 0.591 -44324.92 77820.15 _Iage_50 | 15758.23 31159.95 0.51 0.613 -45314.35 76830.8 _Iage_51 | 16063.6 31160.09 0.52 0.606 -45009.26 77136.47 _Iage_52 | 15232.29 31160.17 0.49 0.625 -45840.73 76305.3 _Iage_53 | 15198 31160.22 0.49 0.626 -45875.12 76271.12 _Iage_54 | 15337.46 31160.29 0.49 0.623 -45735.79 76410.71 _Iage_55 | 14717.62 31160.47 0.47 0.637 -46355.97 75791.22 _Iage_56 | 15819 31160.62 0.51 0.612 -45254.9 76892.9 _Iage_57 | 14945.15 31160.81 0.48 0.632 -46129.12 76019.41 _Iage_58 | 13663.24 31161.05 0.44 0.661 -47411.5 74737.99 _Iage_59 | 13972.97 31161.28 0.45 0.654 -47102.22 75048.16 _Iage_60 | 12751.47 31161.5 0.41 0.682 -48324.15 73827.1 _Iage_61 | 13140.6 31161.99 0.42 0.673 -47935.99 74217.18 _Iage_62 | 12280.26 31162.74 0.39 0.694 -48797.79 73358.3 _Iage_63 | 11035.01 31163.5 0.35 0.723 -50044.52 72114.55 _Iage_64 | 11161.6 31164.57 0.36 0.720 -49920.04 72243.24 _Iage_65 | 8113.85 31166.2 0.26 0.795 -52970.99 69198.69 _Iage_66 | 6205.096 31168.08 0.20 0.842 -54883.42 67293.62 _Iage_67 | 7093.75 31169.41 0.23 0.820 -53997.38 68184.88 _Iage_68 | 2983.139 31172.16 0.10 0.924 -58113.37 64079.65 _Iage_69 | 3469.356 31173.79 0.11 0.911 -57630.35 64569.06 _Iage_70 | 2167.019 31175.12 0.07 0.945 -58935.31 63269.34 _Iage_71 | 1533.968 31180.88 0.05 0.961 -59579.63 62647.56 _Iage_72 | 841.3342 31181.53 0.03 0.978 -60273.54 61956.2 _Iage_73 | 1108.777 31186.67 0.04 0.972 -60016.18 62233.73 _Iage_74 | 76.9861 31195.07 0.00 0.998 -61064.44 61218.41 _Iage_75 | 3.455541 31197.19 0.00 1.000 -61142.12 61149.03 _Iage_76 | 142.2208 31207.57 0.00 0.996 -61023.69 61308.13 _Iage_77 | -22.73036 31218.95 -0.00 0.999 -61210.94 61165.48 _Iage_78 | 1058.663 31220.89 0.03 0.973 -60133.37 62250.69 _Iage_79 | -1470.619 31253.8 -0.05 0.962 -62727.15 59785.91 _Iage_80 | -739.6139 31209.61 -0.02 0.981 -61909.53 60430.3 _Iage_81 | 5691.798 31416.46 0.18 0.856 -55883.53 67267.13 _Iage_82 | -1680.674 31509.86 -0.05 0.957 -63439.07 60077.72 _Iage_83 | -1056.335 31565.21 -0.03 0.973 -62923.22 60810.55 _Iage_84 | 3028.722 31775.05 0.10 0.924 -59249.45 65306.89 _Iage_85 | -2744.421 31318.16 -0.09 0.930 -64127.1 58638.25 _Iage_86 | 1510.34 32251.21 0.05 0.963 -61701.07 64721.75 _Iage_87 | 47358.58 33654.59 1.41 0.159 -18603.42 113320.6 _Iage_88 | 5054.688 32430.09 0.16 0.876 -58507.34 68616.72 _Iage_89 | -6048.717 32430.34 -0.19 0.852 -69611.23 57513.79 _Iage_90 | -1676.435 31641.25 -0.05 0.958 -63692.36 60339.49 _Iage_91 | 4768.431 38161.6 0.12 0.901 -70027.18 79564.04 _Iage_92 | 0 (omitted) _Iage_93 | -1982.131 44065.23 -0.04 0.964 -88348.69 84384.43 _Iage_94 | 3515.798 38161.36 0.09 0.927 -71279.33 78310.93 _Iage_95 | 0 (omitted) _Iage_96 | 0 (omitted) _Iage_97 | 0 (omitted) _Iage_98 | 0 (omitted) _Iage_99 | 0 (omitted) _Irace_200 | -5669.286 187.7153 -30.20 0.000 -6037.202 -5301.369 _Irace_300 | -7623.816 676.9701 -11.26 0.000 -8950.658 -6296.975 _Irace_650 | 151.0801 531.2157 0.28 0.776 -890.0871 1192.247 _Irace_651 | 4542.381 447.6789 10.15 0.000 3664.944 5419.818 _Irace_652 | -4558.542 1418.824 -3.21 0.001 -7339.395 -1777.688 _Irace_700 | -1207.807 564.3783 -2.14 0.032 -2313.972 -101.6425 _Irace_801 | -9019.207 1921.144 -4.69 0.000 -12784.59 -5253.822 _Irace_802 | -4684.536 1018.377 -4.60 0.000 -6680.526 -2688.546 _Irace_803 | 4708.181 1848.746 2.55 0.011 1084.694 8331.669 _Irace_804 | -2230.915 3187.252 -0.70 0.484 -8477.835 4016.004 _Irace_805 | -11227.9 3286.577 -3.42 0.001 -17669.49 -4786.305 _Irace_806 | -8744.306 6968.764 -1.25 0.210 -22402.88 4914.267 _Irace_807 | -10685.6 12722.78 -0.84 0.401 -35621.88 14250.67 _Irace_808 | -18654.53 12723.21 -1.47 0.143 -43591.64 6282.574 _Irace_809 | -6798.587 3024.145 -2.25 0.025 -12725.82 -871.3522 _Irace_810 | -18128.05 4499.124 -4.03 0.000 -26946.2 -9309.902 _Irace_811 | -709.9777 15579.16 -0.05 0.964 -31244.66 29824.71 _Irace_812 | -9174.828 10387.87 -0.88 0.377 -29534.75 11185.1 _Irace_813 | -3480.579 3177.128 -1.10 0.273 -9707.656 2746.497 _Irace_814 | -26667.07 17991.51 -1.48 0.138 -61929.9 8595.756 _Irace_816 | -34965.57 31158.31 -1.12 0.262 -96034.94 26103.8 _Irace_817 | 0 (omitted) _Irace_818 | 0 (omitted) _Irace_820 | 2364.093 6128.797 0.39 0.700 -9648.168 14376.35 _Irace_830 | -12383.3 9863.047 -1.26 0.209 -31714.58 6947.986 _Istatefip_2 | 3445.886 702.5924 4.90 0.000 2068.826 4822.947 _Istatefip_4 | 231.0956 713.2527 0.32 0.746 -1166.859 1629.05 _Istatefip_5 | -3252.317 733.9795 -4.43 0.000 -4690.895 -1813.739 _Istatefip_6 | 2186.456 541.858 4.04 0.000 1124.43 3248.482 _Istatefip_8 | 3199.106 660.178 4.85 0.000 1905.177 4493.036 _Istatefip_9 | 7303.574 661.5775 11.04 0.000 6006.902 8600.246 _Istatefip_10 | 2012.243 729.474 2.76 0.006 582.4959 3441.991 _Istatefip_11 | 14538.03 741.251 19.61 0.000 13085.2 15990.86 _Istatefip_12 | 352.8069 568.401 0.62 0.535 -761.2423 1466.856 _Istatefip_13 | 2471.426 649.8535 3.80 0.000 1197.732 3745.12 _Istatefip_15 | -254.0122 745.9436 -0.34 0.733 -1716.04 1208.015 _Istatefip_16 | -3053.84 726.5509 -4.20 0.000 -4477.859 -1629.822 _Istatefip_17 | 3549.449 567.7847 6.25 0.000 2436.608 4662.29 _Istatefip_18 | 1206.401 638.6661 1.89 0.059 -45.36613 2458.167 _Istatefip_19 | -2659.137 675.4095 -3.94 0.000 -3982.919 -1335.354 _Istatefip_20 | -290.0697 691.2537 -0.42 0.675 -1644.907 1064.767 _Istatefip_21 | -1428.046 699.3244 -2.04 0.041 -2798.701 -57.39076 _Istatefip_22 | 416.5693 708.2049 0.59 0.556 -971.4914 1804.63 _Istatefip_23 | -3046.432 717.4971 -4.25 0.000 -4452.705 -1640.159 _Istatefip_24 | 7500.177 639.3324 11.73 0.000 6247.105 8753.25 _Istatefip_25 | 4728.613 614.61 7.69 0.000 3523.995 5933.23 _Istatefip_26 | 2951.89 601.5553 4.91 0.000 1772.86 4130.921 _Istatefip_27 | 1743.817 660.8159 2.64 0.008 448.6371 3038.996 _Istatefip_28 | -1580.493 753.7391 -2.10 0.036 -3057.799 -103.1864 _Istatefip_29 | 1092.852 660.1742 1.66 0.098 -201.0698 2386.774 _Istatefip_30 | -5000.044 738.3776 -6.77 0.000 -6447.242 -3552.845 _Istatefip_31 | -3325.573 686.2868 -4.85 0.000 -4670.675 -1980.472 _Istatefip_32 | 425.1188 698.7527 0.61 0.543 -944.4158 1794.653 _Istatefip_33 | 3638.366 709.3011 5.13 0.000 2248.157 5028.576 _Istatefip_34 | 6268.621 584.505 10.72 0.000 5123.009 7414.234 _Istatefip_35 | -2256.566 722.7298 -3.12 0.002 -3673.095 -840.0373 _Istatefip_36 | 3442.161 548.2136 6.28 0.000 2367.679 4516.644 _Istatefip_37 | -85.62438 607.4242 -0.14 0.888 -1276.158 1104.909 _Istatefip_38 | -2922.658 707.0469 -4.13 0.000 -4308.449 -1536.867 _Istatefip_39 | 1846.794 577.1858 3.20 0.001 715.5272 2978.062 _Istatefip_40 | -540.2599 712.3391 -0.76 0.448 -1936.424 855.9038 _Istatefip_41 | -709.8873 700.2164 -1.01 0.311 -2082.291 662.5163 _Istatefip_42 | 1839.735 567.7752 3.24 0.001 726.9122 2952.558 _Istatefip_44 | 1873.632 721.4759 2.60 0.009 459.5606 3287.703 _Istatefip_45 | -853.1387 719.6931 -1.19 0.236 -2263.716 557.4385 _Istatefip_46 | -4672.137 684.1185 -6.83 0.000 -6012.989 -3331.285 _Istatefip_47 | -1370.158 681.0294 -2.01 0.044 -2704.955 -35.36017 _Istatefip_48 | 1.481123 552.5188 0.00 0.998 -1081.439 1084.402 _Istatefip_49 | -208.835 699.2987 -0.30 0.765 -1579.44 1161.77 _Istatefip_50 | -3258.069 728.1837 -4.47 0.000 -4685.288 -1830.851 _Istatefip_51 | 5749.226 657.8032 8.74 0.000 4459.951 7038.5 _Istatefip_53 | 1512.369 680.2159 2.22 0.026 179.1662 2845.572 _Istatefip_54 | -2183.183 754.2355 -2.89 0.004 -3661.462 -704.9034 _Istatefip_55 | 330.3514 655.7507 0.50 0.614 -954.9007 1615.604 _Istatefip_56 | -2148.73 722.6328 -2.97 0.003 -3565.069 -732.3915 _Istatefip_61 | 460.5718 5651.597 0.08 0.935 -10616.39 11537.54 _Istatefip_65 | 1151.417 5182.38 0.22 0.824 -9005.895 11308.73 _Istatefip_68 | 3158.406 8371.533 0.38 0.706 -13249.55 19566.36 _Istatefip_69 | 2245.498 5182.365 0.43 0.665 -7911.783 12402.78 _Istatefip_70 | 1883.293 942.8357 2.00 0.046 35.36262 3731.223 _Istatefip_71 | 2899.985 761.9688 3.81 0.000 1406.548 4393.421 _Istatefip_72 | 1450.845 1137.729 1.28 0.202 -779.0698 3680.76 _Istatefip_73 | 533.2043 1266.202 0.42 0.674 -1948.514 3014.923 _Istatefip_74 | 2621.261 1329.935 1.97 0.049 14.6274 5227.894 _Istatefip_75 | 1936.906 1047.184 1.85 0.064 -115.5428 3989.356 _Istatefip_76 | 1415.626 995.9849 1.42 0.155 -536.4747 3367.727 _Istatefip_77 | 1108.869 1501.167 0.74 0.460 -1833.374 4051.113 _Istatefip_78 | 1650.047 1306.602 1.26 0.207 -910.8541 4210.948 _Istatefip_79 | 1543.969 1555.304 0.99 0.321 -1504.381 4592.319 _Istatefip_80 | 2041.086 1418.769 1.44 0.150 -739.6592 4821.832 _Istatefip_81 | 1393.435 1672.85 0.83 0.405 -1885.302 4672.171 _Istatefip_83 | 2465.98 1261.997 1.95 0.051 -7.497398 4939.457 _Istatefip_84 | 1395.177 1271.987 1.10 0.273 -1097.881 3888.235 _Istatefip_85 | 989.2913 1216.949 0.81 0.416 -1395.892 3374.475 _Istatefip_87 | 1312.748 930.5625 1.41 0.158 -511.1268 3136.623 _Istatefip_88 | 1818.202 1332.94 1.36 0.173 -794.32 4430.724 _Istatefip_89 | 1708.379 1158.449 1.47 0.140 -562.1479 3978.905 _Istatefip_90 | 3523.565 1076.951 3.27 0.001 1412.773 5634.356 _Istatefip_99 | 1910.374 9015.845 0.21 0.832 -15760.42 19581.17 _Iyear_1963 | 403.3987 946.4231 0.43 0.670 -1451.563 2258.36 _Iyear_1964 | 474.121 838.5153 0.57 0.572 -1169.344 2117.586 _Iyear_1965 | 924.6982 836.4559 1.11 0.269 -714.7307 2564.127 _Iyear_1966 | 1023.05 728.9802 1.40 0.160 -405.7295 2451.83 _Iyear_1967 | 1680.206 793.3686 2.12 0.034 125.227 3235.185 _Iyear_1968 | 1678.825 741.4205 2.26 0.024 225.6626 3131.987 _Iyear_1969 | 2095.982 737.4365 2.84 0.004 650.6282 3541.336 _Iyear_1970 | 2790.95 741.6649 3.76 0.000 1337.308 4244.591 _Iyear_1971 | 3113.092 741.9641 4.20 0.000 1658.864 4567.32 _Iyear_1972 | 3353.847 747.9798 4.48 0.000 1887.829 4819.866 _Iyear_1973 | 3752.598 755.6154 4.97 0.000 2271.614 5233.582 _Iyear_1974 | 4587.589 755.6582 6.07 0.000 3106.521 6068.657 _Iyear_1975 | 4781.263 760.0866 6.29 0.000 3291.516 6271.011 _Iyear_1976 | 5497.767 755.5897 7.28 0.000 4016.833 6978.7 _Iyear_1977 | 7029.979 715.8647 9.82 0.000 5626.905 8433.052 _Iyear_1978 | 7742.417 714.5052 10.84 0.000 6342.008 9142.826 _Iyear_1979 | 8448.714 713.7338 11.84 0.000 7049.817 9847.611 _Iyear_1980 | 9584.11 699.5523 13.70 0.000 8213.009 10955.21 _Iyear_1981 | 10349.59 698.0175 14.83 0.000 8981.5 11717.69 _Iyear_1982 | 10853.1 710.7328 15.27 0.000 9460.088 12246.12 _Iyear_1983 | 11846.83 712.6933 16.62 0.000 10449.97 13243.69 _Iyear_1984 | 12132.48 707.4661 17.15 0.000 10745.87 13519.1 _Iyear_1985 | 13263.6 707.7211 18.74 0.000 11876.48 14650.71 _Iyear_1986 | 13938.67 710.4016 19.62 0.000 12546.3 15331.03 _Iyear_1987 | 14495.46 709.5437 20.43 0.000 13104.78 15886.15 _Iyear_1988 | 15168.1 708.4522 21.41 0.000 13779.55 16556.64 _Iyear_1989 | 16312.82 714.7157 22.82 0.000 14912 17713.65 _Iyear_1990 | 17185.34 706.3108 24.33 0.000 15800.99 18569.69 _Iyear_1991 | 17564.66 706.4232 24.86 0.000 16180.09 18949.23 _Iyear_1992 | 17891.14 710.4705 25.18 0.000 16498.64 19283.64 _Iyear_1993 | 18425.59 709.6174 25.97 0.000 17034.76 19816.42 _Iyear_1994 | 18882.63 711.757 26.53 0.000 17487.61 20277.65 _Iyear_1995 | 20132.93 713.0589 28.23 0.000 18735.36 21530.51 _Iyear_1996 | 22555.98 728.5859 30.96 0.000 21127.97 23983.99 _Iyear_1997 | 24206.39 723.4993 33.46 0.000 22788.36 25624.43 _Iyear_1998 | 24791.05 720.3474 34.42 0.000 23379.19 26202.91 _Iyear_1999 | 25678.55 722.2431 35.55 0.000 24262.97 27094.12 _Iyear_2000 | 26231.29 723.1051 36.28 0.000 24814.02 27648.55 _Iyear_2001 | 29149.22 683.1764 42.67 0.000 27810.22 30488.23 _Iyear_2002 | 30464.42 685.7334 44.43 0.000 29120.4 31808.43 _Iyear_2003 | 31428.21 685.5703 45.84 0.000 30084.51 32771.91 _Iyear_2004 | 31715.84 686.9722 46.17 0.000 30369.39 33062.28 _Iyear_2005 | 32784.08 687.2483 47.70 0.000 31437.09 34131.06 _Iyear_2006 | 34202.7 687.8818 49.72 0.000 32854.47 35550.93 _Iyear_2007 | 35894.82 688.399 52.14 0.000 34545.58 37244.06 _Iyear_2008 | 36530.77 688.79 53.04 0.000 35180.76 37880.78 _Iyear_2009 | 37174.8 690.7921 53.81 0.000 35820.87 38528.73 _Iyear_2010 | 37417.78 691.654 54.10 0.000 36062.16 38773.4 _Iyear_2011 | 38075.46 693.7913 54.88 0.000 36715.65 39435.27 _Iyear_2012 | 39099.26 694.5273 56.30 0.000 37738.01 40460.52 _Iyear_2013 | 40498.39 691.9979 58.52 0.000 39142.1 41854.69 _cons | -8330.713 31167.81 -0.27 0.789 -69418.7 52757.28 ------------------------------------------------------------------------------- . eststo r1; . *** E.3. diff-in-diff-in-diff regression ***; . xi: regress incwage treat_after_male treat_after male_after male_treat i.age i.race i.statefip i.year if emp == 1; i.age _Iage_0-99 (naturally coded; _Iage_0 omitted) i.race _Irace_100-830 (naturally coded; _Irace_100 omitted) i.statefip _Istatefip_1-99 (naturally coded; _Istatefip_1 omitted) i.year _Iyear_1962-2013 (naturally coded; _Iyear_1962 omitted) note: _Iage_1 omitted because of collinearity note: _Iage_2 omitted because of collinearity note: _Iage_3 omitted because of collinearity note: _Iage_4 omitted because of collinearity note: _Iage_5 omitted because of collinearity note: _Iage_6 omitted because of collinearity note: _Iage_7 omitted because of collinearity note: _Iage_8 omitted because of collinearity note: _Iage_9 omitted because of collinearity note: _Iage_10 omitted because of collinearity note: _Iage_11 omitted because of collinearity note: _Iage_12 omitted because of collinearity note: _Iage_13 omitted because of collinearity note: _Iage_92 omitted because of collinearity note: _Iage_95 omitted because of collinearity note: _Iage_96 omitted because of collinearity note: _Iage_97 omitted because of collinearity note: _Iage_98 omitted because of collinearity note: _Iage_99 omitted because of collinearity note: _Irace_817 omitted because of collinearity note: _Irace_818 omitted because of collinearity Source | SS df MS Number of obs = 364579 -------------+------------------------------ F(232,364346) = 425.74 Model | 9.3053e+13 232 4.0109e+11 Prob > F = 0.0000 Residual | 3.4325e+14364346 942100973 R-squared = 0.2133 -------------+------------------------------ Adj R-squared = 0.2128 Total | 4.3630e+14364578 1.1967e+09 Root MSE = 30694 ---------------------------------------------------------------------------------- incwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -----------------+---------------------------------------------------------------- treat_after_male | -6684.37 422.0861 -15.84 0.000 -7511.646 -5857.094 treat_after | 3735.811 323.1414 11.56 0.000 3102.463 4369.158 male_after | 16604.91 207.2252 80.13 0.000 16198.76 17011.07 male_treat | 7313.719 228.183 32.05 0.000 6866.487 7760.951 _Iage_1 | 0 (omitted) _Iage_2 | 0 (omitted) _Iage_3 | 0 (omitted) _Iage_4 | 0 (omitted) _Iage_5 | 0 (omitted) _Iage_6 | 0 (omitted) _Iage_7 | 0 (omitted) _Iage_8 | 0 (omitted) _Iage_9 | 0 (omitted) _Iage_10 | 0 (omitted) _Iage_11 | 0 (omitted) _Iage_12 | 0 (omitted) _Iage_13 | 0 (omitted) _Iage_14 | 3380.155 30722.14 0.11 0.912 -56834.33 63594.64 _Iage_15 | -5120.218 30707.12 -0.17 0.868 -65305.26 55064.83 _Iage_16 | -7537.421 30702.71 -0.25 0.806 -67713.82 52638.98 _Iage_17 | -7928.706 30701.04 -0.26 0.796 -68101.84 52244.43 _Iage_18 | -6595.55 30700.46 -0.21 0.830 -66767.55 53576.45 _Iage_19 | -3825.407 30700.29 -0.12 0.901 -63997.07 56346.26 _Iage_20 | -2821.305 30700.19 -0.09 0.927 -62992.77 57350.16 _Iage_21 | -1250.847 30700.05 -0.04 0.967 -61422.04 58920.35 _Iage_22 | -316.0469 30699.96 -0.01 0.992 -60487.06 59854.97 _Iage_23 | 1397.191 30699.82 0.05 0.964 -58773.56 61567.94 _Iage_24 | 2793.645 30699.77 0.09 0.927 -57377 62964.3 _Iage_25 | 5279.4 30699.71 0.17 0.863 -54891.13 65449.93 _Iage_26 | 6172.898 30699.71 0.20 0.841 -53997.63 66343.43 _Iage_27 | 6927.272 30699.66 0.23 0.821 -53243.16 67097.7 _Iage_28 | 7638.924 30699.68 0.25 0.803 -52531.54 67809.39 _Iage_29 | 8441.905 30699.67 0.27 0.783 -51728.55 68612.36 _Iage_30 | 8959.689 30699.62 0.29 0.770 -51210.66 69130.04 _Iage_31 | 10466.38 30699.65 0.34 0.733 -49704.02 70636.79 _Iage_32 | 10672.19 30699.59 0.35 0.728 -49498.1 70842.48 _Iage_33 | 11163.44 30699.64 0.36 0.716 -49006.95 71333.83 _Iage_34 | 11370.33 30699.64 0.37 0.711 -48800.07 71540.72 _Iage_35 | 12707.86 30699.62 0.41 0.679 -47462.5 72878.22 _Iage_36 | 13345.14 30699.63 0.43 0.664 -46825.22 73515.5 _Iage_37 | 13284.68 30699.66 0.43 0.665 -46885.75 73455.11 _Iage_38 | 13596.42 30699.66 0.44 0.658 -46574.01 73766.84 _Iage_39 | 14477.08 30699.65 0.47 0.637 -45693.33 74647.48 _Iage_40 | 14969.2 30699.57 0.49 0.626 -45201.06 75139.45 _Iage_41 | 15450.44 30699.63 0.50 0.615 -44719.93 75620.81 _Iage_42 | 15497.82 30699.67 0.50 0.614 -44672.63 75668.27 _Iage_43 | 15649.73 30699.68 0.51 0.610 -44520.74 75820.2 _Iage_44 | 15627.34 30699.69 0.51 0.611 -44543.15 75797.84 _Iage_45 | 15556.59 30699.74 0.51 0.612 -44614 75727.17 _Iage_46 | 15171.09 30699.8 0.49 0.621 -44999.61 75341.8 _Iage_47 | 15333.13 30699.79 0.50 0.617 -44837.56 75503.82 _Iage_48 | 16318.47 30699.81 0.53 0.595 -43852.25 76489.18 _Iage_49 | 16627.06 30699.94 0.54 0.588 -43543.91 76798.03 _Iage_50 | 15672.21 30699.96 0.51 0.610 -44498.8 75843.22 _Iage_51 | 15945.92 30700.1 0.52 0.603 -44225.37 76117.21 _Iage_52 | 15115.18 30700.18 0.49 0.622 -45056.27 75286.63 _Iage_53 | 15071.5 30700.23 0.49 0.623 -45100.05 75243.04 _Iage_54 | 15228.52 30700.3 0.50 0.620 -44943.15 75400.2 _Iage_55 | 14655.5 30700.47 0.48 0.633 -45516.51 74827.51 _Iage_56 | 15599.3 30700.62 0.51 0.611 -44573.02 75771.61 _Iage_57 | 14837.06 30700.81 0.48 0.629 -45335.61 75009.74 _Iage_58 | 13485.69 30701.05 0.44 0.660 -46687.46 73658.84 _Iage_59 | 13765.69 30701.27 0.45 0.654 -46407.9 73939.28 _Iage_60 | 12472.29 30701.49 0.41 0.685 -47701.72 72646.31 _Iage_61 | 12914.55 30701.97 0.42 0.674 -47260.41 73089.52 _Iage_62 | 11966.01 30702.71 0.39 0.697 -48210.4 72142.41 _Iage_63 | 10940.5 30703.45 0.36 0.722 -49237.37 71118.36 _Iage_64 | 10980.22 30704.51 0.36 0.721 -49199.72 71160.16 _Iage_65 | 7697.166 30706.12 0.25 0.802 -52485.93 67880.26 _Iage_66 | 5931.435 30707.97 0.19 0.847 -54255.29 66118.15 _Iage_67 | 6807.148 30709.28 0.22 0.825 -53382.14 66996.44 _Iage_68 | 2788.548 30711.99 0.09 0.928 -57406.04 62983.14 _Iage_69 | 3306.639 30713.59 0.11 0.914 -56891.1 63504.38 _Iage_70 | 1568.922 30714.91 0.05 0.959 -58631.4 61769.24 _Iage_71 | 748.6188 30720.58 0.02 0.981 -59462.81 60960.05 _Iage_72 | 292.7136 30721.22 0.01 0.992 -59919.97 60505.4 _Iage_73 | 625.6025 30726.29 0.02 0.984 -59597.02 60848.22 _Iage_74 | -234.5588 30734.57 -0.01 0.994 -60473.4 60004.29 _Iage_75 | -172.9983 30736.65 -0.01 0.996 -60415.93 60069.94 _Iage_76 | -646.6362 30746.88 -0.02 0.983 -60909.6 59616.33 _Iage_77 | -830.478 30758.09 -0.03 0.978 -61115.42 59454.47 _Iage_78 | 390.1407 30760.01 0.01 0.990 -59898.56 60678.84 _Iage_79 | -1717.848 30792.43 -0.06 0.956 -62070.1 58634.4 _Iage_80 | -1694.503 30748.89 -0.06 0.956 -61961.42 58572.41 _Iage_81 | 5290.831 30952.68 0.17 0.864 -55375.52 65957.18 _Iage_82 | -2606.899 31044.71 -0.08 0.933 -63453.61 58239.81 _Iage_83 | -1381.267 31099.24 -0.04 0.965 -62334.86 59572.33 _Iage_84 | 2592.765 31305.99 0.08 0.934 -58766.05 63951.58 _Iage_85 | -2865.846 30855.84 -0.09 0.926 -63342.38 57610.69 _Iage_86 | 1507.891 31775.11 0.05 0.962 -60770.38 63786.17 _Iage_87 | 47108.67 33157.78 1.42 0.155 -17879.59 112096.9 _Iage_88 | 5860.892 31951.36 0.18 0.854 -56762.82 68484.61 _Iage_89 | -7615.188 31951.6 -0.24 0.812 -70239.38 55009.01 _Iage_90 | -1082.589 31174.16 -0.03 0.972 -62183.02 60017.84 _Iage_91 | 4685.129 37598.25 0.12 0.901 -69006.33 78376.59 _Iage_92 | 0 (omitted) _Iage_93 | -2129.22 43414.74 -0.05 0.961 -87220.82 82962.38 _Iage_94 | 3717.707 37598.01 0.10 0.921 -69973.29 77408.7 _Iage_95 | 0 (omitted) _Iage_96 | 0 (omitted) _Iage_97 | 0 (omitted) _Iage_98 | 0 (omitted) _Iage_99 | 0 (omitted) _Irace_200 | -4957.969 185.0753 -26.79 0.000 -5320.711 -4595.227 _Irace_300 | -7176.749 666.9903 -10.76 0.000 -8484.031 -5869.468 _Irace_650 | 197.5965 523.3801 0.38 0.706 -828.213 1223.406 _Irace_651 | 4625.431 441.0724 10.49 0.000 3760.942 5489.92 _Irace_652 | -3997.968 1397.891 -2.86 0.004 -6737.793 -1258.143 _Irace_700 | -1083.58 556.0493 -1.95 0.051 -2173.42 6.260352 _Irace_801 | -8423.755 1892.797 -4.45 0.000 -12133.58 -4713.929 _Irace_802 | -4740.301 1003.344 -4.72 0.000 -6706.827 -2773.775 _Irace_803 | 4797.651 1821.471 2.63 0.008 1227.621 8367.68 _Irace_804 | -2666.958 3140.213 -0.85 0.396 -8821.683 3487.767 _Irace_805 | -9850.259 3238.093 -3.04 0.002 -16196.82 -3503.693 _Irace_806 | -7472.462 6865.902 -1.09 0.276 -20929.43 5984.504 _Irace_807 | -10170.52 12535.01 -0.81 0.417 -34738.76 14397.72 _Irace_808 | -18022.26 12535.42 -1.44 0.151 -42591.31 6546.796 _Irace_809 | -5119.581 2979.565 -1.72 0.086 -10959.44 720.2785 _Irace_810 | -17734.64 4432.714 -4.00 0.000 -26422.63 -9046.651 _Irace_811 | 4059.828 15349.27 0.26 0.791 -26024.3 34143.95 _Irace_812 | -11545.23 10234.55 -1.13 0.259 -31604.66 8514.19 _Irace_813 | -3766.974 3130.23 -1.20 0.229 -9902.132 2368.184 _Irace_814 | -23354.1 17725.96 -1.32 0.188 -58096.45 11388.25 _Irace_816 | -25661.21 30698.72 -0.84 0.403 -85829.8 34507.39 _Irace_817 | 0 (omitted) _Irace_818 | 0 (omitted) _Irace_820 | 2270.069 6038.323 0.38 0.707 -9564.867 14105 _Irace_830 | -6828.373 9717.627 -0.70 0.482 -25874.64 12217.89 _Istatefip_2 | 3551.659 692.2217 5.13 0.000 2194.925 4908.393 _Istatefip_4 | -4140.311 715.1755 -5.79 0.000 -5542.034 -2738.588 _Istatefip_5 | -3277.997 723.1446 -4.53 0.000 -4695.339 -1860.655 _Istatefip_6 | -2111.874 549.8703 -3.84 0.000 -3189.604 -1034.144 _Istatefip_8 | 2997.736 650.4397 4.61 0.000 1722.893 4272.578 _Istatefip_9 | 7342.299 651.812 11.26 0.000 6064.767 8619.831 _Istatefip_10 | 2116.272 718.7066 2.94 0.003 707.6279 3524.915 _Istatefip_11 | 14560.01 730.3111 19.94 0.000 13128.62 15991.39 _Istatefip_12 | 339.2811 560.0105 0.61 0.545 -758.3229 1436.885 _Istatefip_13 | -1652.811 653.0217 -2.53 0.011 -2932.714 -372.9072 _Istatefip_15 | -296.8632 734.9322 -0.40 0.686 -1737.309 1143.582 _Istatefip_16 | -3115.576 715.8268 -4.35 0.000 -4518.576 -1712.577 _Istatefip_17 | 3582.717 559.4039 6.40 0.000 2486.302 4679.133 _Istatefip_18 | 1343.922 629.2404 2.14 0.033 110.6297 2577.215 _Istatefip_19 | -6577.966 677.8252 -9.70 0.000 -7906.484 -5249.449 _Istatefip_20 | -155.4345 681.0506 -0.23 0.819 -1490.274 1179.405 _Istatefip_21 | -5455.258 701.0675 -7.78 0.000 -6829.329 -4081.186 _Istatefip_22 | 397.0854 697.7506 0.57 0.569 -970.4853 1764.656 _Istatefip_23 | -7070.475 718.2321 -9.84 0.000 -8478.189 -5662.761 _Istatefip_24 | 7629.367 629.8964 12.11 0.000 6394.789 8863.945 _Istatefip_25 | 890.515 618.4744 1.44 0.150 -321.6764 2102.707 _Istatefip_26 | -1068.687 606.398 -1.76 0.078 -2257.21 119.8349 _Istatefip_27 | -2105.328 663.3879 -3.17 0.002 -3405.548 -805.107 _Istatefip_28 | -5782.282 753.8842 -7.67 0.000 -7259.873 -4304.691 _Istatefip_29 | -2920.137 662.9515 -4.40 0.000 -4219.503 -1620.772 _Istatefip_30 | -4781.438 727.4812 -6.57 0.000 -6207.279 -3355.596 _Istatefip_31 | -3175.086 676.1574 -4.70 0.000 -4500.335 -1849.838 _Istatefip_32 | 391.9655 688.438 0.57 0.569 -957.3526 1741.284 _Istatefip_33 | -307.7889 710.3167 -0.43 0.665 -1699.989 1084.411 _Istatefip_34 | 6331.03 575.8771 10.99 0.000 5202.328 7459.732 _Istatefip_35 | -6245.893 723.9792 -8.63 0.000 -7664.871 -4826.916 _Istatefip_36 | 3539.405 540.1223 6.55 0.000 2480.781 4598.028 _Istatefip_37 | -115.2386 598.4574 -0.19 0.847 -1288.197 1057.72 _Istatefip_38 | -2897.451 696.6096 -4.16 0.000 -4262.785 -1532.116 _Istatefip_39 | -2304.28 583.4939 -3.95 0.000 -3447.911 -1160.649 _Istatefip_40 | -462.1962 701.8239 -0.66 0.510 -1837.75 913.3579 _Istatefip_41 | -573.8951 689.8811 -0.83 0.405 -1926.042 778.2514 _Istatefip_42 | 1924.495 559.3954 3.44 0.001 828.0965 3020.894 _Istatefip_44 | 2140.112 710.8312 3.01 0.003 746.9043 3533.321 _Istatefip_45 | -691.4804 709.072 -0.98 0.329 -2081.241 698.2799 _Istatefip_46 | -4351.952 674.0286 -6.46 0.000 -5673.028 -3030.875 _Istatefip_47 | -1315.918 670.9766 -1.96 0.050 -2631.012 -.8234227 _Istatefip_48 | -75.64306 544.365 -0.14 0.889 -1142.582 991.2963 _Istatefip_49 | -438.1253 688.9839 -0.64 0.525 -1788.513 912.2627 _Istatefip_50 | -2931.161 717.4428 -4.09 0.000 -4337.328 -1524.995 _Istatefip_51 | 1586.642 660.789 2.40 0.016 291.5146 2881.768 _Istatefip_53 | 1404.246 670.1776 2.10 0.036 90.71807 2717.775 _Istatefip_54 | -6356.382 755.1332 -8.42 0.000 -7836.421 -4876.343 _Istatefip_55 | 581.9144 646.0757 0.90 0.368 -684.3749 1848.204 _Istatefip_56 | -2204.792 711.9665 -3.10 0.002 -3600.225 -809.3585 _Istatefip_61 | 930.3784 5568.178 0.17 0.867 -9983.086 11843.84 _Istatefip_65 | 1584.255 5105.889 0.31 0.756 -8423.137 11591.65 _Istatefip_68 | 3518.185 8247.957 0.43 0.670 -12647.57 19683.94 _Istatefip_69 | 2630.278 5105.873 0.52 0.606 -7377.082 12637.64 _Istatefip_70 | 2084.73 928.9305 2.24 0.025 264.0536 3905.406 _Istatefip_71 | 3042.626 750.7299 4.05 0.000 1571.217 4514.034 _Istatefip_72 | 1667.368 1120.944 1.49 0.137 -529.648 3864.385 _Istatefip_73 | 734.2513 1247.519 0.59 0.556 -1710.85 3179.352 _Istatefip_74 | 2721.119 1310.309 2.08 0.038 152.9513 5289.286 _Istatefip_75 | 2016.615 1031.734 1.95 0.051 -5.553498 4038.783 _Istatefip_76 | 1472.472 981.2885 1.50 0.133 -450.8247 3395.768 _Istatefip_77 | 1295.304 1479.015 0.88 0.381 -1603.521 4194.129 _Istatefip_78 | 1839.154 1287.322 1.43 0.153 -683.9589 4362.268 _Istatefip_79 | 1751.944 1532.352 1.14 0.253 -1251.421 4755.308 _Istatefip_80 | 2248.617 1397.833 1.61 0.108 -491.0945 4988.328 _Istatefip_81 | 1541.233 1648.158 0.94 0.350 -1689.107 4771.574 _Istatefip_83 | 2463.851 1243.369 1.98 0.048 26.88372 4900.818 _Istatefip_84 | 1500.511 1253.213 1.20 0.231 -955.75 3956.771 _Istatefip_85 | 1053.429 1198.986 0.88 0.380 -1296.548 3403.407 _Istatefip_87 | 1440.588 916.8295 1.57 0.116 -356.3706 3237.547 _Istatefip_88 | 1949.437 1313.265 1.48 0.138 -624.5247 4523.398 _Istatefip_89 | 1846.508 1141.352 1.62 0.106 -390.5073 4083.524 _Istatefip_90 | 3574.901 1061.055 3.37 0.001 1495.264 5654.538 _Istatefip_99 | 2276.085 8882.755 0.26 0.798 -15133.85 19686.02 _Iyear_1963 | 467.7827 932.4543 0.50 0.616 -1359.8 2295.366 _Iyear_1964 | 616.8569 826.1473 0.75 0.455 -1002.367 2236.081 _Iyear_1965 | 1091.393 824.1239 1.32 0.185 -523.8654 2706.651 _Iyear_1966 | 1143.615 718.2296 1.59 0.111 -264.0935 2551.324 _Iyear_1967 | 1819.457 781.6699 2.33 0.020 287.4069 3351.507 _Iyear_1968 | 1889.049 730.5014 2.59 0.010 457.2874 3320.81 _Iyear_1969 | 2296.634 726.5727 3.16 0.002 872.5731 3720.695 _Iyear_1970 | 2983.066 730.7385 4.08 0.000 1550.841 4415.292 _Iyear_1971 | 3325.229 731.0362 4.55 0.000 1892.419 4758.038 _Iyear_1972 | 3597.233 736.9719 4.88 0.000 2152.79 5041.676 _Iyear_1973 | 4024.434 744.5011 5.41 0.000 2565.234 5483.634 _Iyear_1974 | 4865.935 744.5451 6.54 0.000 3406.649 6325.222 _Iyear_1975 | 5083.911 748.9164 6.79 0.000 3616.057 6551.765 _Iyear_1976 | 5795.695 744.4849 7.78 0.000 4336.526 7254.863 _Iyear_1977 | 7338.122 705.3633 10.40 0.000 5955.631 8720.613 _Iyear_1978 | 8042.418 704.02 11.42 0.000 6662.56 9422.277 _Iyear_1979 | 8743.361 703.2555 12.43 0.000 7365.001 10121.72 _Iyear_1980 | 9900.441 689.2946 14.36 0.000 8549.444 11251.44 _Iyear_1981 | 10670.36 687.7833 15.51 0.000 9322.328 12018.4 _Iyear_1982 | 11258.04 700.3512 16.07 0.000 9885.377 12630.71 _Iyear_1983 | 12189.47 702.2497 17.36 0.000 10813.09 13565.86 _Iyear_1984 | 12500.25 697.1135 17.93 0.000 11133.93 13866.58 _Iyear_1985 | 13613.54 697.3569 19.52 0.000 12246.74 14980.34 _Iyear_1986 | 14285.3 699.9959 20.41 0.000 12913.33 15657.27 _Iyear_1987 | 14878.56 699.1704 21.28 0.000 13508.21 16248.92 _Iyear_1988 | 15555.75 698.0967 22.28 0.000 14187.5 16924 _Iyear_1989 | 16669.6 704.2502 23.67 0.000 15289.29 18049.91 _Iyear_1990 | 17615.75 696.0124 25.31 0.000 16251.58 18979.91 _Iyear_1991 | 17937.92 696.0876 25.77 0.000 16573.61 19302.23 _Iyear_1992 | 18322.45 700.1035 26.17 0.000 16950.27 19694.64 _Iyear_1993 | 18846.25 699.2604 26.95 0.000 17475.72 20216.78 _Iyear_1994 | 19316.92 701.3771 27.54 0.000 17942.24 20691.6 _Iyear_1995 | 20519.26 702.6363 29.20 0.000 19142.11 21896.4 _Iyear_1996 | 23030.52 717.9778 32.08 0.000 21623.3 24437.73 _Iyear_1997 | 24652.62 712.9469 34.58 0.000 23255.27 26049.98 _Iyear_1998 | 25267.45 709.8636 35.59 0.000 23876.14 26658.76 _Iyear_1999 | 26151.25 711.7288 36.74 0.000 24756.28 27546.22 _Iyear_2000 | 17672.01 721.0277 24.51 0.000 16258.81 19085.2 _Iyear_2001 | 20591.45 682.1076 30.19 0.000 19254.54 21928.36 _Iyear_2002 | 22205.39 684.154 32.46 0.000 20864.47 23546.31 _Iyear_2003 | 23028.5 684.1677 33.66 0.000 21687.55 24369.45 _Iyear_2004 | 23506.94 685.386 34.30 0.000 22163.61 24850.28 _Iyear_2005 | 24426.65 685.8282 35.62 0.000 23082.44 25770.85 _Iyear_2006 | 25803.05 686.6 37.58 0.000 24457.34 27148.77 _Iyear_2007 | 27482.29 686.8839 40.01 0.000 26136.02 28828.56 _Iyear_2008 | 28298.76 686.95 41.19 0.000 26952.36 29645.17 _Iyear_2009 | 28983.46 688.9943 42.07 0.000 27633.05 30333.87 _Iyear_2010 | 29227.06 689.8768 42.37 0.000 27874.92 30579.2 _Iyear_2011 | 29704.42 692.1788 42.91 0.000 28347.77 31061.07 _Iyear_2012 | 30854.49 692.8117 44.54 0.000 29496.6 32212.38 _Iyear_2013 | 32091.63 690.5237 46.47 0.000 30738.22 33445.03 _cons | -8666.629 30707.71 -0.28 0.778 -68852.83 51519.57 ---------------------------------------------------------------------------------- . eststo r2; . *** E.4. shrink T to 2, re-do regression from (c) ***; . * make a state/year level dataset *; . * omit years before 1976, b/c some of them have funny states *; . sort after statefip; . collapse incwage treat treat_after if emp==1 & year > 1976, by(after statefip); . xi: areg incwage treat after treat_after, absorb(statefip); note: treat omitted because of collinearity Linear regression, absorbing indicators Number of obs = 102 F( 2, 49) = 763.25 Prob > F = 0.0000 R-squared = 0.9726 Adj R-squared = 0.9435 Root MSE = 2574.3600 ------------------------------------------------------------------------------ incwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- treat | 0 (omitted) after | 19780.22 615.3897 32.14 0.000 18543.55 21016.9 treat_after | 436.171 1098.69 0.40 0.693 -1771.73 2644.072 _cons | 17138.45 360.4825 47.54 0.000 16414.04 17862.87 -------------+---------------------------------------------------------------- statefip | F(50, 49) = 4.222 0.000 (51 categories) . eststo r3; . *** E.5. output results ***; . estout * > using "/home/lfbrooks/pppa6022/2014/stataout/problem_set_1/${date}_prob2_regs_`sample'.txt", > replace > varwidth(12) varlabels(_cons Constant) > cells(b(star fmt(%12.1f)) se(par fmt(%12.1f))) > stats(r2 N, fmt(%9.3f %9.0g %9.3f) labels("R-squared" "Observations")); (note: file /home/lfbrooks/pppa6022/2014/stataout/problem_set_1/20170223_prob2_regs_small.txt not found) (output written to /home/lfbrooks/pppa6022/2014/stataout/problem_set_1/20170223_prob2_regs_small.txt) . log close; name: log: /home/lfbrooks/pppa6022/2017/problem_sets/problem_set_1/ps1_2015v04.log log type: text closed on: 23 Feb 2017, 20:55:05 --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------