Examp5_6

Examp5_6 - Examples: Chapters 5-6 1 Examples from the...

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Unformatted text preview: Examples: Chapters 5-6 1 Examples from the Textbook Chapters 5-6 Examples: Chapters 5-6 2 Chapter 5 Example 5.2: Standard Errors in a Birth Weight Equation use BWGHT Regression with 694 observations reg lbwght cigs lfaminc in 1/694 Source | SS df MS Number of obs = 694 ---------+------------------------------ F( 2, 691) = 10.52 Model | .809213892 2 .404606946 Prob > F = 0.0000 Residual | 26.5787089 691 .038464123 R-squared = 0.0295 ---------+------------------------------ Adj R-squared = 0.0267 Total | 27.3879228 693 .039520812 Root MSE = .19612 ------------------------------------------------------------------------------ lbwght | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------+-------------------------------------------------------------------- cigs | -.0046368 .0013319 -3.481 0.001 -.0072519 -.0020216 lfaminc | .0194044 .0081884 2.370 0.018 .0033274 .0354815 _cons | 4.705583 .027053 173.939 0.000 4.652467 4.758699 ------------------------------------------------------------------------------ Regression with 1388 observations reg lbwght cigs lfaminc Source | SS df MS Number of obs = 1388 ---------+------------------------------ F( 2, 1385) = 18.31 Model | 1.29879046 2 .64939523 Prob > F = 0.0000 Residual | 49.1215342 1385 .035466812 R-squared = 0.0258 ---------+------------------------------ Adj R-squared = 0.0244 Total | 50.4203246 1387 .036352073 Root MSE = .18833 ------------------------------------------------------------------------------ lbwght | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------+-------------------------------------------------------------------- cigs | -.0040816 .0008582 -4.756 0.000 -.0057651 -.002398 lfaminc | .0162657 .0055833 2.913 0.004 .005313 .0272183 _cons | 4.718594 .0182445 258.631 0.000 4.682804 4.754383 ------------------------------------------------------------------------------ Example 5.3: Economic Model of Crime use http://fmwww.bc.edu/ec-p/data/wooldridge/CRIME1 reg narr86 pcnv ptime86 qemp86 Source | SS df MS Number of obs = 2725 ---------+------------------------------ F( 3, 2721) = 39.10 Model | 83.0741941 3 27.691398 Prob > F = 0.0000 Residual | 1927.27296 2721 .708295833 R-squared = 0.0413 ---------+------------------------------ Adj R-squared = 0.0403 Total | 2010.34716 2724 .738012906 Root MSE = .8416 ------------------------------------------------------------------------------ narr86 | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------+-------------------------------------------------------------------- pcnv | -.1499274 .0408653 -3.669 0.000 -.2300576 -.0697973 ptime86 | -.0344199 .008591 -4.007 0.000 -.0512655 -.0175744 qemp86 | -.104113 .0103877 -10.023 0.000 -.1244816 -.0837445 _cons | .7117715 .0330066 21.565 0.000 .647051 .776492 ------------------------------------------------------------------------------ predict ubar, resid reg ubar pcnv ptime86 qemp86 avgsen tottime Source | SS df MS Number of obs = 2725 ---------+------------------------------ F( 5, 2719) = 0.81 Model |...
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Examp5_6 - Examples: Chapters 5-6 1 Examples from the...

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