-------------------------------------------------------------------------------------------------------------------------------------------------- log: G:\Yu\research\Health Economics\2010\table7.log log type: text opened on: 16 Jun 2010, 00:06:42 . sort male with_p; . by male with_p: regress bmi > logfaminc withkid uninsured smoke educ age agesq employed > black hispanic othrace married, robust; -------------------------------------------------------------------------------------------------------------------------------------------------- -> male = 0, with_p = 0 Linear regression Number of obs = 1862 F( 12, 1849) = 11.24 Prob > F = 0.0000 R-squared = 0.0663 Root MSE = 5.3341 ------------------------------------------------------------------------------ | Robust bmi | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- logfaminc | -.9529231 .3684165 -2.59 0.010 -1.675479 -.2303671 withkid | .485338 .288092 1.68 0.092 -.0796818 1.050358 uninsured | -.697047 .3207831 -2.17 0.030 -1.326182 -.067912 smoke | -.0134058 .3108084 -0.04 0.966 -.622978 .5961664 educ | -.3107944 .0612899 -5.07 0.000 -.430999 -.1905898 age | 1.201926 .562152 2.14 0.033 .0994065 2.304445 agesq | -.0204045 .0111863 -1.82 0.068 -.0423437 .0015346 employed | .4328319 .2682395 1.61 0.107 -.0932522 .958916 black | 2.513601 .3922462 6.41 0.000 1.744309 3.282893 hispanic | .2013977 .3629961 0.55 0.579 -.5105277 .9133231 othrace | .1506942 .4772582 0.32 0.752 -.7853274 1.086716 married | .4909009 .3147144 1.56 0.119 -.1263321 1.108134 _cons | 15.6942 6.877187 2.28 0.023 2.206331 29.18207 ------------------------------------------------------------------------------ -------------------------------------------------------------------------------------------------------------------------------------------------- -> male = 0, with_p = 1 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, with_p = 0 Linear regression Number of obs = 1339 F( 12, 1326) = 5.68 Prob > F = 0.0000 R-squared = 0.0490 Root MSE = 4.5189 ------------------------------------------------------------------------------ | Robust bmi | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- logfaminc | .3964649 .3661174 1.08 0.279 -.3217676 1.114697 withkid | .4839328 .3411313 1.42 0.156 -.185283 1.153149 uninsured | -.4204895 .3121361 -1.35 0.178 -1.032824 .191845 smoke | -.7066356 .2790774 -2.53 0.011 -1.254117 -.1591543 educ | -.1604985 .0572252 -2.80 0.005 -.2727603 -.0482366 age | .5586184 .5417584 1.03 0.303 -.5041786 1.621415 agesq | -.0082612 .0108988 -0.76 0.449 -.0296421 .0131196 employed | .0699612 .3347382 0.21 0.834 -.586713 .7266355 black | 1.657208 .415281 3.99 0.000 .8425285 2.471888 hispanic | .5666882 .333321 1.70 0.089 -.0872059 1.220582 othrace | -.5230772 .5128417 -1.02 0.308 -1.529147 .4829925 married | .0471665 .33189 0.14 0.887 -.6039202 .6982532 _cons | 17.93355 6.848965 2.62 0.009 4.497566 31.36954 ------------------------------------------------------------------------------ -------------------------------------------------------------------------------------------------------------------------------------------------- -> male = 1, with_p = 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 ------------------------------------------------------------------------------ . log close; log: G:\Yu\research\Health Economics\2010\table7.log log type: text closed on: 16 Jun 2010, 00:06:42 --------------------------------------------------------------------------------------------------------------------------------------------------