----------------------------------------------------------------------------------------- name: log: C:\Users\LabProf01\Documents\aula_reg.log log type: text opened on: 20 Oct 2022, 16:47:42 . reg wage educ exper female married nonwhite Source | SS df MS Number of obs = 526 -------------+---------------------------------- F(5, 520) = 48.00 Model | 2261.28946 5 452.257892 Prob > F = 0.0000 Residual | 4899.12483 520 9.4213939 R-squared = 0.3158 -------------+---------------------------------- Adj R-squared = 0.3092 Total | 7160.41429 525 13.6388844 Root MSE = 3.0694 ------------------------------------------------------------------------------ wage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- educ | .5831031 .0518505 11.25 0.000 .4812409 .6849654 exper | .0556719 .0110663 5.03 0.000 .0339317 .0774122 female | -2.06753 .2725729 -7.59 0.000 -2.603009 -1.53205 married | .6592313 .2976678 2.21 0.027 .074452 1.244011 nonwhite | -.0251874 .4434349 -0.06 0.955 -.8963315 .8459567 _cons | -1.784585 .7595064 -2.35 0.019 -3.276663 -.2925065 ------------------------------------------------------------------------------ . display 2261.28946 /7160.41429 .31580428 . reg wage educ exper female married Source | SS df MS Number of obs = 526 -------------+---------------------------------- F(4, 521) = 60.12 Model | 2261.25906 4 565.314766 Prob > F = 0.0000 Residual | 4899.15523 521 9.40336896 R-squared = 0.3158 -------------+---------------------------------- Adj R-squared = 0.3105 Total | 7160.41429 525 13.6388844 Root MSE = 3.0665 ------------------------------------------------------------------------------ wage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- educ | .5833233 .051656 11.29 0.000 .4818437 .6848029 exper | .0556664 .0110553 5.04 0.000 .0339479 .0773849 female | -2.067101 .2722077 -7.59 0.000 -2.601861 -1.532342 married | .6602419 .2968513 2.22 0.027 .0770693 1.243414 _cons | -1.790662 .7512121 -2.38 0.017 -3.266439 -.3148853 ------------------------------------------------------------------------------ . test (educ=1) ( 1) educ = 1 F( 1, 521) = 65.07 Prob > F = 0.0000 . test (educ=0.5) ( 1) educ = .5 F( 1, 521) = 2.60 Prob > F = 0.1073 . test (educ=0) ( 1) educ = 0 F( 1, 521) = 127.52 Prob > F = 0.0000 . test (exper=0) ( 1) exper = 0 F( 1, 521) = 25.35 Prob > F = 0.0000 . reg wage educ exper female married smsa northcen west Source | SS df MS Number of obs = 526 -------------+---------------------------------- F(7, 518) = 38.09 Model | 2433.07032 7 347.581475 Prob > F = 0.0000 Residual | 4727.34397 518 9.12614665 R-squared = 0.3398 -------------+---------------------------------- Adj R-squared = 0.3309 Total | 7160.41429 525 13.6388844 Root MSE = 3.021 ------------------------------------------------------------------------------ wage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- educ | .5487594 .0522266 10.51 0.000 .4461573 .6513614 exper | .0566748 .010901 5.20 0.000 .0352593 .0780903 female | -2.109818 .2687138 -7.85 0.000 -2.637721 -1.581915 married | .7551142 .2939942 2.57 0.010 .1775466 1.332682 smsa | .9759847 .3060632 3.19 0.002 .3747069 1.577263 northcen | -.3090447 .3167268 -0.98 0.330 -.9312716 .3131822 west | .7994791 .3671753 2.18 0.030 .0781434 1.520815 _cons | -2.173658 .7477397 -2.91 0.004 -3.642634 -.7046834 ------------------------------------------------------------------------------ . reg wage educ exper female married smsa northcen west south Source | SS df MS Number of obs = 526 -------------+---------------------------------- F(8, 517) = 33.82 Model | 2459.73674 8 307.467092 Prob > F = 0.0000 Residual | 4700.67755 517 9.09221964 R-squared = 0.3435 -------------+---------------------------------- Adj R-squared = 0.3334 Total | 7160.41429 525 13.6388844 Root MSE = 3.0153 ------------------------------------------------------------------------------ wage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- educ | .543662 .0522144 10.41 0.000 .4410836 .6462405 exper | .0567262 .0108807 5.21 0.000 .0353503 .0781021 female | -2.112765 .2682194 -7.88 0.000 -2.639699 -1.585831 married | .7835268 .2939159 2.67 0.008 .2061105 1.360943 smsa | .8823584 .310347 2.84 0.005 .2726621 1.492055 northcen | -.6788844 .3828578 -1.77 0.077 -1.431033 .0732639 west | .4343929 .4239841 1.02 0.306 -.3985507 1.267336 south | -.6217968 .363079 -1.71 0.087 -1.335088 .0914948 _cons | -1.68309 .7994317 -2.11 0.036 -3.253624 -.1125555 ------------------------------------------------------------------------------ . test smsa northcen south west ( 1) smsa = 0 ( 2) northcen = 0 ( 3) south = 0 ( 4) west = 0 F( 4, 517) = 5.46 Prob > F = 0.0003 . test smsa northcen south west educ exper female married ( 1) smsa = 0 ( 2) northcen = 0 ( 3) south = 0 ( 4) west = 0 ( 5) educ = 0 ( 6) exper = 0 ( 7) female = 0 ( 8) married = 0 F( 8, 517) = 33.82 Prob > F = 0.0000 . twoway (lfit wage educ) (scatter wage educ, sort) . reg lwage educ exper female married Source | SS df MS Number of obs = 526 -------------+---------------------------------- F(4, 521) = 75.27 Model | 54.3265253 4 13.5816313 Prob > F = 0.0000 Residual | 94.0032262 521 .180428457 R-squared = 0.3663 -------------+---------------------------------- Adj R-squared = 0.3614 Total | 148.329751 525 .28253286 Root MSE = .42477 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- educ | .0872644 .0071554 12.20 0.000 .0732075 .1013213 exper | .0076213 .0015314 4.98 0.000 .0046129 .0106297 female | -.3251146 .0377061 -8.62 0.000 -.3991892 -.25104 married | .1380145 .0411197 3.36 0.001 .0572338 .2187953 _cons | .4690918 .1040575 4.51 0.000 .264668 .6735156 ------------------------------------------------------------------------------ . reg lwage educ exper female married Source | SS df MS Number of obs = 526 -------------+---------------------------------- F(4, 521) = 75.27 Model | 54.3265253 4 13.5816313 Prob > F = 0.0000 Residual | 94.0032262 521 .180428457 R-squared = 0.3663 -------------+---------------------------------- Adj R-squared = 0.3614 Total | 148.329751 525 .28253286 Root MSE = .42477 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- educ | .0872644 .0071554 12.20 0.000 .0732075 .1013213 exper | .0076213 .0015314 4.98 0.000 .0046129 .0106297 female | -.3251146 .0377061 -8.62 0.000 -.3991892 -.25104 married | .1380145 .0411197 3.36 0.001 .0572338 .2187953 _cons | .4690918 .1040575 4.51 0.000 .264668 .6735156 ------------------------------------------------------------------------------ . reg lwage educ exper female married Source | SS df MS Number of obs = 526 -------------+---------------------------------- F(4, 521) = 75.27 Model | 54.3265253 4 13.5816313 Prob > F = 0.0000 Residual | 94.0032262 521 .180428457 R-squared = 0.3663 -------------+---------------------------------- Adj R-squared = 0.3614 Total | 148.329751 525 .28253286 Root MSE = .42477 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- educ | .0872644 .0071554 12.20 0.000 .0732075 .1013213 exper | .0076213 .0015314 4.98 0.000 .0046129 .0106297 female | -.3251146 .0377061 -8.62 0.000 -.3991892 -.25104 married | .1380145 .0411197 3.36 0.001 .0572338 .2187953 _cons | .4690918 .1040575 4.51 0.000 .264668 .6735156 ------------------------------------------------------------------------------ . reg wage educ exper female married Source | SS df MS Number of obs = 526 -------------+---------------------------------- F(4, 521) = 60.12 Model | 2261.25906 4 565.314766 Prob > F = 0.0000 Residual | 4899.15523 521 9.40336896 R-squared = 0.3158 -------------+---------------------------------- Adj R-squared = 0.3105 Total | 7160.41429 525 13.6388844 Root MSE = 3.0665 ------------------------------------------------------------------------------ wage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- educ | .5833233 .051656 11.29 0.000 .4818437 .6848029 exper | .0556664 .0110553 5.04 0.000 .0339479 .0773849 female | -2.067101 .2722077 -7.59 0.000 -2.601861 -1.532342 married | .6602419 .2968513 2.22 0.027 .0770693 1.243414 _cons | -1.790662 .7512121 -2.38 0.017 -3.266439 -.3148853 ------------------------------------------------------------------------------ . reg lwage educ exper female married Source | SS df MS Number of obs = 526 -------------+---------------------------------- F(4, 521) = 75.27 Model | 54.3265253 4 13.5816313 Prob > F = 0.0000 Residual | 94.0032262 521 .180428457 R-squared = 0.3663 -------------+---------------------------------- Adj R-squared = 0.3614 Total | 148.329751 525 .28253286 Root MSE = .42477 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- educ | .0872644 .0071554 12.20 0.000 .0732075 .1013213 exper | .0076213 .0015314 4.98 0.000 .0046129 .0106297 female | -.3251146 .0377061 -8.62 0.000 -.3991892 -.25104 married | .1380145 .0411197 3.36 0.001 .0572338 .2187953 _cons | .4690918 .1040575 4.51 0.000 .264668 .6735156 ------------------------------------------------------------------------------ . gen educ2=educ^2 variable educ2 already defined r(110); . reg lwage educ educ2 exper female married Source | SS df MS Number of obs = 526 -------------+---------------------------------- F(5, 520) = 63.53 Model | 56.2502069 5 11.2500414 Prob > F = 0.0000 Residual | 92.0795445 520 .177076047 R-squared = 0.3792 -------------+---------------------------------- Adj R-squared = 0.3733 Total | 148.329751 525 .28253286 Root MSE = .4208 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- educ | -.0132496 .0313088 -0.42 0.672 -.0747568 .0482577 educ2 | .0042752 .0012971 3.30 0.001 .001727 .0068234 exper | .0071928 .0015226 4.72 0.000 .0042015 .0101841 female | -.3095612 .037651 -8.22 0.000 -.383528 -.2355944 married | .1407932 .0407446 3.46 0.001 .060749 .2208375 _cons | 1.022525 .1970299 5.19 0.000 .6354524 1.409597 ------------------------------------------------------------------------------ . gen leduc=log(educ) variable leduc already defined r(110); . reg lwage leduc exper female married Source | SS df MS Number of obs = 524 -------------+---------------------------------- F(4, 519) = 69.50 Model | 51.6135437 4 12.9033859 Prob > F = 0.0000 Residual | 96.3610931 519 .185666846 R-squared = 0.3488 -------------+---------------------------------- Adj R-squared = 0.3438 Total | 147.974637 523 .282934296 Root MSE = .43089 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- leduc | .9249591 .0809886 11.42 0.000 .7658533 1.084065 exper | .0075989 .0015635 4.86 0.000 .0045272 .0106706 female | -.3521766 .0382206 -9.21 0.000 -.4272626 -.2770905 married | .146474 .0417431 3.51 0.000 .0644678 .2284802 _cons | -.7448509 .2124504 -3.51 0.000 -1.162219 -.3274824 ------------------------------------------------------------------------------ . test (leduc=1) ( 1) leduc = 1 F( 1, 519) = 0.86 Prob > F = 0.3546 . reg lwage educ exper female married nonwhite Source | SS df MS Number of obs = 526 -------------+---------------------------------- F(5, 520) = 60.10 Model | 54.3268032 5 10.8653606 Prob > F = 0.0000 Residual | 94.0029482 520 .1807749 R-squared = 0.3663 -------------+---------------------------------- Adj R-squared = 0.3602 Total | 148.329751 525 .28253286 Root MSE = .42518 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- educ | .0872854 .0071823 12.15 0.000 .0731755 .1013953 exper | .0076208 .0015329 4.97 0.000 .0046093 .0106322 female | -.3250736 .0377567 -8.61 0.000 -.3992481 -.2508992 married | .1381112 .0412329 3.35 0.001 .0571077 .2191146 nonwhite | .0024085 .0614245 0.04 0.969 -.1182621 .1230791 _cons | .4685106 .1052066 4.45 0.000 .2618285 .6751928 ------------------------------------------------------------------------------ . reg lwage educ exper female married Source | SS df MS Number of obs = 526 -------------+---------------------------------- F(4, 521) = 75.27 Model | 54.3265253 4 13.5816313 Prob > F = 0.0000 Residual | 94.0032262 521 .180428457 R-squared = 0.3663 -------------+---------------------------------- Adj R-squared = 0.3614 Total | 148.329751 525 .28253286 Root MSE = .42477 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- educ | .0872644 .0071554 12.20 0.000 .0732075 .1013213 exper | .0076213 .0015314 4.98 0.000 .0046129 .0106297 female | -.3251146 .0377061 -8.62 0.000 -.3991892 -.25104 married | .1380145 .0411197 3.36 0.001 .0572338 .2187953 _cons | .4690918 .1040575 4.51 0.000 .264668 .6735156 ------------------------------------------------------------------------------ . reg wage educ exper female married smsa northcen south west Source | SS df MS Number of obs = 526 -------------+---------------------------------- F(8, 517) = 33.82 Model | 2459.73674 8 307.467092 Prob > F = 0.0000 Residual | 4700.67755 517 9.09221964 R-squared = 0.3435 -------------+---------------------------------- Adj R-squared = 0.3334 Total | 7160.41429 525 13.6388844 Root MSE = 3.0153 ------------------------------------------------------------------------------ wage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- educ | .543662 .0522144 10.41 0.000 .4410836 .6462405 exper | .0567262 .0108807 5.21 0.000 .0353503 .0781021 female | -2.112765 .2682194 -7.88 0.000 -2.639699 -1.585831 married | .7835268 .2939159 2.67 0.008 .2061105 1.360943 smsa | .8823584 .310347 2.84 0.005 .2726621 1.492055 northcen | -.6788844 .3828578 -1.77 0.077 -1.431033 .0732639 south | -.6217968 .363079 -1.71 0.087 -1.335088 .0914948 west | .4343929 .4239841 1.02 0.306 -.3985507 1.267336 _cons | -1.68309 .7994317 -2.11 0.036 -3.253624 -.1125555 ------------------------------------------------------------------------------ . reg wage educ exper female married smsa northcen south Source | SS df MS Number of obs = 526 -------------+---------------------------------- F(7, 518) = 38.49 Model | 2450.19261 7 350.027516 Prob > F = 0.0000 Residual | 4710.22168 518 9.09309205 R-squared = 0.3422 -------------+---------------------------------- Adj R-squared = 0.3333 Total | 7160.41429 525 13.6388844 Root MSE = 3.0155 ------------------------------------------------------------------------------ wage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- educ | .5428525 .0522109 10.40 0.000 .4402814 .6454236 exper | .0568173 .0108809 5.22 0.000 .0354412 .0781934 female | -2.099766 .267932 -7.84 0.000 -2.626133 -1.573399 married | .7897842 .2938665 2.69 0.007 .2124674 1.367101 smsa | .8837858 .3103588 2.85 0.005 .2740692 1.493503 northcen | -.8657246 .3366521 -2.57 0.010 -1.527096 -.2043533 south | -.8088361 .3138608 -2.58 0.010 -1.425433 -.1922395 _cons | -1.498654 .7789373 -1.92 0.055 -3.028918 .0316109 ------------------------------------------------------------------------------ . log close name: log: C:\Users\LabProf01\Documents\aula_reg.log log type: text closed on: 20 Oct 2022, 16:48:46 -----------------------------------------------------------------------------------------