Examp1718

Examp1718 - Examples Chapters 17-18 1 Examples from the...

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Unformatted text preview: Examples: Chapters 17-18 1 Examples from the Textbook Chapters 17-18 Examples: Chapters 17-18 2 Chapter 17 Example 17.1: Married Woman's Labor Force Participation use httpMROZ, clear regress inlf nwifeinc educ exper expersq age kidslt6 kidsge6 Source | SS df MS Number of obs = 753 -------------+------------------------------ F( 7, 745) = 38.22 Model | 48.8080578 7 6.97257968 Prob > F = 0.0000 Residual | 135.919698 745 .182442547 R-squared = 0.2642 -------------+------------------------------ Adj R-squared = 0.2573 Total | 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 -.0005616 educ | .0379953 .007376 5.15 0.000 .023515 .0524756 exper | .0394924 .0056727 6.96 0.000 .0283561 .0506287 expersq | -.0005963 .0001848 -3.23 0.001 -.0009591 -.0002335 age | -.0160908 .0024847 -6.48 0.000 -.0209686 -.011213 kidslt6 | -.2618105 .0335058 -7.81 0.000 -.3275875 -.1960335 kidsge6 | .0130122 .013196 0.99 0.324 -.0128935 .0389179 _cons | .5855192 .154178 3.80 0.000 .2828442 .8881943 ------------------------------------------------------------------------------ logit inlf nwifeinc educ exper expersq age kidslt6 kidsge6 Iteration 0: log likelihood = -514.8732 Iteration 1: log likelihood = -406.94123 Iteration 2: log likelihood = -401.85151 Iteration 3: log likelihood = -401.76519 Iteration 4: log likelihood = -401.76515 Logit estimates Number of obs = 753 LR chi2(7) = 226.22 Prob > chi2 = 0.0000 Log likelihood = -401.76515 Pseudo R2 = 0.2197 ------------------------------------------------------------------------------ inlf | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- nwifeinc | -.0213452 .0084214 -2.53 0.011 -.0378509 -.0048394 educ | .2211704 .0434396 5.09 0.000 .1360303 .3063105 exper | .2058695 .0320569 6.42 0.000 .1430391 .2686999 expersq | -.0031541 .0010161 -3.10 0.002 -.0051456 -.0011626 age | -.0880244 .014573 -6.04 0.000 -.116587 -.0594618 kidslt6 | -1.443354 .2035849 -7.09 0.000 -1.842373 -1.044335 kidsge6 | .0601122 .0747897 0.80 0.422 -.086473 .2066974 _cons | .4254524 .8603696 0.49 0.621 -1.260841 2.111746 ------------------------------------------------------------------------------ probit inlf nwifeinc educ exper expersq age kidslt6 kidsge6 Iteration 0: log likelihood = -514.8732 Iteration 1: log likelihood = -405.78215 Iteration 2: log likelihood = -401.32924 Iteration 3: log likelihood = -401.30219 Iteration 4: log likelihood = -401.30219 Probit estimates Number of obs = 753 LR chi2(7) = 227.14 Prob > chi2 = 0.0000 Log likelihood = -401.30219 Pseudo R2 = 0.2206 ------------------------------------------------------------------------------ inlf | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+----------------------------------------------------------------...
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Examp1718 - Examples Chapters 17-18 1 Examples from the...

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