Stata_log_HW5

Stata_log_HW5 - -log C\Teaching\PAM 305\HW5\Stata log...

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Unformatted text preview: -----------------------------------------------------------------------------------------------------------------------log: C:\Teaching\PAM 305\HW5\Stata log HW5.loglog type: textopened on: 30 Nov 2006, 09:45:10. regress inlf nwifeinc educ exper expersq age kidslt6 kidsge6Source | SS df MS Number of obs = 753-------------+------------------------------ F( 7, 745) = 38.22Model | 48.8080578 7 6.97257969 Prob > F = 0.0000Residual | 135.919698 745 .182442547 R-squared = 0.2642-------------+------------------------------ Adj R-squared = 0.2573Total | 184.727756 752 .245648611 Root MSE = .42713------------------------------------------------------------------------------inlf | Coef. Std. Err. t P>|t| [95% Conf. Interval]-------------+----------------------------------------------------------------nwifeinc | -.0034052 .0014485 -2.35 0.019 -.0062488 -.0005616educ | .0379953 .007376 5.15 0.000 .023515 .0524756exper | .0394924 .0056727 6.96 0.000 .0283561 .0506287expersq | -.0005963 .0001848 -3.23 0.001 -.0009591 -.0002335age | -.0160908 .0024847 -6.48 0.000 -.0209686 -.011213kidslt6 | -.2618105 .0335058 -7.81 0.000 -.3275875 -.1960335kidsge6 | .0130122 .013196 0.99 0.324 -.0128935 .0389179_cons | .5855192 .154178 3.80 0.000 .2828442 .8881943------------------------------------------------------------------------------. display invttail(745,0.025)1.9631533. *1.f.. predict inlf_hat(option xb assumed; fitted values). count if inlf_hat>117. count if inlf_hat<016. count if (inlf_hat>1|inlf_hat<0)33. *2.f.. . generate outlf=1-inlf. regress outlf nwifeinc educ exper expersq age kidslt6 kidsge6Source | SS df MS Number of obs = 753-------------+------------------------------ F( 7, 745) = 38.22Model | 48.8080578 7 6.97257969 Prob > F = 0.0000Residual | 135.919698 745 .182442547 R-squared = 0.2642-------------+------------------------------ Adj R-squared = 0.2573Total | 184.727756 752 .245648611 Root MSE = .42713------------------------------------------------------------------------------outlf | Coef. Std. Err. t P>|t| [95% Conf. Interval]-------------+----------------------------------------------------------------nwifeinc | .0034052 .0014485 2.35 0.019 .0005616 .0062488educ | -.0379953 .007376 -5.15 0.000 -.0524756 -.023515exper | -.0394924 .0056727 -6.96 0.000 -.0506287 -.0283561expersq | .0005963 .0001848 3.23 0.001 .0002335 .0009591age | .0160908 .0024847 6.48 0.000 .011213 .0209686kidslt6 | .2618105 .0335058 7.81 0.000 .1960335 .3275875kidsge6 | -.0130122 .013196 -0.99 0.324 -.0389179 .0128935_cons | .4144808 .154178 2.69 0.007 .1118057 .7171558------------------------------------------------------------------------------. *3.d.. regress inlf nwifeinc educ exper expersq age kidslt6 kidsge6Source | SS df MS Number of obs = 753-------------+------------------------------ F( 7, 745) = 38.22Model | 48.8080578 7 6.97257969 Prob > F = 0.0000Residual | 135.919698 745 .182442547 R-squared = 0.2642-------------+------------------------------ Adj R-squared = 0.2573Total | 184.727756 752 .245648611 Root MSE = .42713....
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This note was uploaded on 08/12/2008 for the course PAM 305 taught by Professor Lucarelli during the Fall '06 term at Cornell.

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Stata_log_HW5 - -log C\Teaching\PAM 305\HW5\Stata log...

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