-------------------------------------------------------------------------------------------------------------------------------------------------- log: G:\Yu\research\Health Economics\2010\table4.log log type: text opened on: 16 Jun 2010, 00:06:41 . sort male; . /* regression for column (1) */ > by male: regress bmi mombmi dadbmi, robust; -------------------------------------------------------------------------------------------------------------------------------------------------- -> male = 0 Linear regression Number of obs = 863 F( 2, 860) = 74.91 Prob > F = 0.0000 R-squared = 0.1876 Root MSE = 4.6082 ------------------------------------------------------------------------------ | Robust bmi | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- mombmi | .3036419 .0316351 9.60 0.000 .2415509 .3657329 dadbmi | .2585864 .0451747 5.72 0.000 .1699209 .347252 _cons | 8.301537 1.350793 6.15 0.000 5.650301 10.95277 ------------------------------------------------------------------------------ -------------------------------------------------------------------------------------------------------------------------------------------------- -> male = 1 Linear regression Number of obs = 930 F( 2, 927) = 49.30 Prob > F = 0.0000 R-squared = 0.1194 Root MSE = 4.3448 ------------------------------------------------------------------------------ | Robust bmi | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- mombmi | .221814 .0297378 7.46 0.000 .1634528 .2801752 dadbmi | .1796762 .0373466 4.81 0.000 .1063824 .2529699 _cons | 13.9519 1.151011 12.12 0.000 11.69301 16.21079 ------------------------------------------------------------------------------ . /* regression for column (2) */ > by male: regress bmi > logfaminc withkid uninsured smoke educ age agesq employed > black hispanic othrace married, robust; -------------------------------------------------------------------------------------------------------------------------------------------------- -> male = 0 Linear regression Number of obs = 863 F( 12, 850) = 5.59 Prob > F = 0.0000 R-squared = 0.0936 Root MSE = 4.8963 ------------------------------------------------------------------------------ | Robust bmi | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- logfaminc | -.6296362 .4244176 -1.48 0.138 -1.462666 .2033931 withkid | .2259412 .3883733 0.58 0.561 -.5363418 .9882243 uninsured | .1758853 .5813767 0.30 0.762 -.9652169 1.316988 smoke | .7323205 .4758635 1.54 0.124 -.2016847 1.666326 educ | -.314483 .1325427 -2.37 0.018 -.5746324 -.0543337 age | -1.272186 .8952896 -1.42 0.156 -3.029423 .4850519 agesq | .0367039 .0194971 1.88 0.060 -.0015643 .074972 employed | -.2658565 .3508391 -0.76 0.449 -.9544692 .4227561 black | 2.028872 .6739427 3.01 0.003 .7060849 3.351659 hispanic | .6832905 .6322107 1.08 0.280 -.5575866 1.924168 othrace | 1.141389 1.142781 1.00 0.318 -1.101614 3.384392 married | -.1610276 .6139535 -0.26 0.793 -1.36607 1.044015 _cons | 40.85832 9.78297 4.18 0.000 21.6567 60.05993 ------------------------------------------------------------------------------ -------------------------------------------------------------------------------------------------------------------------------------------------- -> male = 1 Linear regression Number of obs = 930 F( 12, 917) = 4.08 Prob > F = 0.0000 R-squared = 0.0576 Root MSE = 4.5191 ------------------------------------------------------------------------------ | Robust bmi | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- logfaminc | .2548852 .3468632 0.73 0.463 -.4258527 .9356231 withkid | .0288339 .4110212 0.07 0.944 -.7778175 .8354853 uninsured | -.0585878 .4393017 -0.13 0.894 -.9207413 .8035657 smoke | -.7815407 .3316697 -2.36 0.019 -1.432461 -.1306209 educ | -.1362124 .1104426 -1.23 0.218 -.352962 .0805372 age | .5793907 .7779636 0.74 0.457 -.9474052 2.106187 agesq | -.0053637 .0169421 -0.32 0.752 -.0386136 .0278861 employed | -.5788114 .3311376 -1.75 0.081 -1.228687 .0710641 black | .7982497 .7637571 1.05 0.296 -.7006652 2.297165 hispanic | 1.373962 .763596 1.80 0.072 -.124637 2.87256 othrace | -1.545839 .6426584 -2.41 0.016 -2.807091 -.2845873 married | -.3485864 .5391061 -0.65 0.518 -1.406611 .7094385 _cons | 16.55943 8.368019 1.98 0.048 .1367392 32.98212 ------------------------------------------------------------------------------ . /* regression for column (3) */ > by male: regress bmi mombmi dadbmi > logfaminc withkid uninsured smoke educ age agesq employed > black hispanic othrace married, robust; -------------------------------------------------------------------------------------------------------------------------------------------------- -> male = 0 Linear regression Number of obs = 863 F( 14, 848) = 14.11 Prob > F = 0.0000 R-squared = 0.2345 Root MSE = 4.5049 ------------------------------------------------------------------------------ | Robust bmi | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- mombmi | .2578539 .0309292 8.34 0.000 .1971472 .3185606 dadbmi | .2552237 .0442747 5.76 0.000 .168323 .3421245 logfaminc | -.2708401 .4005028 -0.68 0.499 -1.056933 .5152528 withkid | .2326142 .3547898 0.66 0.512 -.463755 .9289835 uninsured | -.1973885 .5295615 -0.37 0.709 -1.236793 .8420164 smoke | .8253074 .4419411 1.87 0.062 -.0421193 1.692734 educ | -.1844792 .1268367 -1.45 0.146 -.4334298 .0644714 age | -1.086941 .8382743 -1.30 0.195 -2.732277 .5583947 agesq | .029798 .018378 1.62 0.105 -.0062736 .0658697 employed | -.3920348 .3220624 -1.22 0.224 -1.024168 .240098 black | 1.69756 .6360785 2.67 0.008 .449087 2.946033 hispanic | .4277411 .5910685 0.72 0.469 -.7323877 1.58787 othrace | .8155229 1.022575 0.80 0.425 -1.191552 2.822598 married | -.3381904 .5719983 -0.59 0.555 -1.460889 .7845081 _cons | 22.77646 9.240483 2.46 0.014 4.639563 40.91336 ------------------------------------------------------------------------------ -------------------------------------------------------------------------------------------------------------------------------------------------- -> male = 1 Linear regression Number of obs = 930 F( 14, 915) = 11.52 Prob > F = 0.0000 R-squared = 0.1618 Root MSE = 4.2665 ------------------------------------------------------------------------------ | Robust bmi | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- mombmi | .2112532 .0294824 7.17 0.000 .1533923 .2691142 dadbmi | .1700317 .0374517 4.54 0.000 .0965304 .243533 logfaminc | .431923 .3401835 1.27 0.205 -.2357075 1.099554 withkid | .2306704 .3816565 0.60 0.546 -.5183534 .9796942 uninsured | -.1940177 .4239283 -0.46 0.647 -1.026002 .6379671 smoke | -.6619061 .324217 -2.04 0.041 -1.298201 -.0256108 educ | -.0517357 .1023827 -0.51 0.613 -.2526679 .1491964 age | .2295603 .762 0.30 0.763 -1.26591 1.725031 agesq | .0009507 .0166428 0.06 0.954 -.0317118 .0336132 employed | -.6461894 .3116028 -2.07 0.038 -1.257729 -.0346502 black | .3826974 .7422686 0.52 0.606 -1.074049 1.839444 hispanic | 1.236875 .6638379 1.86 0.063 -.0659465 2.539697 othrace | -1.297685 .6296577 -2.06 0.040 -2.533426 -.0619437 married | -.5443365 .5227295 -1.04 0.298 -1.570225 .4815515 _cons | 8.781168 8.060689 1.09 0.276 -7.038417 24.60075 ------------------------------------------------------------------------------ . /* regression for column (4) */ > by male: regress bmi mombmi momsmoke momeduc momemployed > dadbmi dadsmoke dadeduc dademployed > logfaminc withkid uninsured smoke educ age agesq employed > black hispanic othrace married, robust; -------------------------------------------------------------------------------------------------------------------------------------------------- -> male = 0 Linear regression Number of obs = 863 F( 20, 842) = 11.64 Prob > F = 0.0000 R-squared = 0.2514 Root MSE = 4.4708 ------------------------------------------------------------------------------ | Robust bmi | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- mombmi | .2528569 .0316883 7.98 0.000 .1906596 .3150542 momsmoke | .7138167 .5320158 1.34 0.180 -.3304161 1.75805 momeduc | .0644312 .0759952 0.85 0.397 -.084731 .2135935 momemployed | -.6375766 .3645353 -1.75 0.081 -1.353081 .0779279 dadbmi | .2666229 .0444288 6.00 0.000 .1794187 .353827 dadsmoke | 1.061124 .4434964 2.39 0.017 .1906357 1.931612 dadeduc | -.0530231 .0724929 -0.73 0.465 -.195311 .0892649 dademployed | -.8060397 .4916731 -1.64 0.102 -1.771088 .159009 logfaminc | -.1230441 .4034921 -0.30 0.760 -.9150125 .6689242 withkid | .1703361 .3570318 0.48 0.633 -.5304407 .8711129 uninsured | -.3100637 .5299406 -0.59 0.559 -1.350223 .730096 smoke | .5141678 .4360418 1.18 0.239 -.3416887 1.370024 educ | -.1381134 .1305427 -1.06 0.290 -.3943407 .118114 age | -1.200313 .8298112 -1.45 0.148 -2.829054 .4284286 agesq | .0320158 .0182119 1.76 0.079 -.0037302 .0677618 employed | -.3861583 .3247983 -1.19 0.235 -1.023668 .2513512 black | 1.529907 .6315597 2.42 0.016 .2902908 2.769523 hispanic | .4348206 .6157439 0.71 0.480 -.7737526 1.643394 othrace | .8169143 .9552553 0.86 0.393 -1.058047 2.691875 married | -.2892979 .5765957 -0.50 0.616 -1.421032 .8424358 _cons | 23.46183 9.192114 2.55 0.011 5.419679 41.50397 ------------------------------------------------------------------------------ -------------------------------------------------------------------------------------------------------------------------------------------------- -> male = 1 Linear regression Number of obs = 930 F( 20, 909) = 9.43 Prob > F = 0.0000 R-squared = 0.1911 Root MSE = 4.2051 ------------------------------------------------------------------------------ | Robust bmi | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- mombmi | .2244633 .0293168 7.66 0.000 .1669269 .2819997 momsmoke | .8359147 .421042 1.99 0.047 .0095872 1.662242 momeduc | -.1068035 .0754567 -1.42 0.157 -.2548931 .0412861 momemployed | .7629164 .3291104 2.32 0.021 .1170119 1.408821 dadbmi | .1731805 .0368604 4.70 0.000 .1008392 .2455218 dadsmoke | .8665118 .3871084 2.24 0.025 .1067817 1.626242 dadeduc | -.0987955 .0697674 -1.42 0.157 -.2357194 .0381285 dademployed | .0996172 .4033721 0.25 0.805 -.6920317 .8912661 logfaminc | .6557181 .3398022 1.93 0.054 -.01117 1.322606 withkid | .3275688 .3805264 0.86 0.390 -.4192437 1.074381 uninsured | -.2346029 .4189241 -0.56 0.576 -1.056774 .5875679 smoke | -.7564629 .3269078 -2.31 0.021 -1.398045 -.1148811 educ | .0724946 .1129928 0.64 0.521 -.1492625 .2942518 age | .1392326 .7744656 0.18 0.857 -1.380716 1.659181 agesq | .0031652 .0169118 0.19 0.852 -.0300255 .036356 employed | -.78165 .3120752 -2.50 0.012 -1.394122 -.1691784 black | .6018306 .7167878 0.84 0.401 -.8049207 2.008582 hispanic | .992711 .6547039 1.52 0.130 -.2921961 2.277618 othrace | -1.263008 .6384155 -1.98 0.048 -2.515947 -.0100681 married | -.3952616 .5185387 -0.76 0.446 -1.412934 .6224106 _cons | 8.55523 8.303396 1.03 0.303 -7.740827 24.85129 ------------------------------------------------------------------------------ . log close; log: G:\Yu\research\Health Economics\2010\table4.log log type: text closed on: 16 Jun 2010, 00:06:41 --------------------------------------------------------------------------------------------------------------------------------------------------