Example 2.3: CEO Salary and Return on Equity. Salary for ROE = 0. Salary for ROE = 30. Example 2.4: Wage and Education
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1 1 Stata Textbook Examples Introductory Econometrics: A Modern Approach by Jeffrey M. Wooldridge (1st & 2d eds.) Chapter 2 - The Simple Regression Model Example 2.3: CEO Salary and Return on Equity summ salary roe salary roe Salary for ROE = 0 display _b[roe]*0+_b[_cons] Salary for ROE = 30 display _b[roe]*30+_b[_cons] Example 2.4: Wage and Education summ wage wage reg wage educ F( 1, 524) = Model Prob > F = Residual R-squared = Adj R-squared = Total Root MSE = wage Coef. Std. Err. t P> t [95% Conf. Interval]
2 2 educ _cons Wage for educ = 0 display _b[educ]*0+_b[_cons] Wage for educ = 8 display _b[educ]*8+_b[_cons] Return to 4 years education display _b[educ]* Example 2.5: Voting Outcomes and Campaign Expenditures use reg votea sharea Source SS df MS Number of obs = F( 1, 171) = Model Prob > F = Residual R-squared = Adj R-squared = Total Root MSE = votea Coef. Std. Err. t P> t [95% Conf. Interval] sharea _cons Example 2.6: CEO Salary and Return on Equity summ salary roe salary roe
3 3 Fitted Values and Residuals for the First 15 CEOs predict salhat, xb gen uhat=salary-salhat list roe salary salhat uhat in 1/15 roe salary salhat uhat Example 2.7: Wage and Education summ wage educ wage educ reg wage educ F( 1, 524) = Model Prob > F = Residual R-squared = Adj R-squared = Total Root MSE = wage Coef. Std. Err. t P> t [95% Conf. Interval] educ _cons Wage for educ = 12.56
4 4 display _b[educ]*12.56+_b[_cons] Example 2.8: CEO Salary and Return on Equity Example 2.9: Voting Outcomes and Campaign Expenditures use reg votea sharea Source SS df MS Number of obs = F( 1, 171) = Model Prob > F = Residual R-squared = Adj R-squared = Total Root MSE = votea Coef. Std. Err. t P> t [95% Conf. Interval] sharea _cons Example 2.10: A Log Wage Equation reg lwage educ F( 1, 524) = Model Prob > F = Residual R-squared = Adj R-squared = Total Root MSE = lwage Coef. Std. Err. t P> t [95% Conf. Interval]
5 5 educ _cons Example 2.11: CEO Salary and Firm Sales reg lsalary lsales F( 1, 207) = Model Prob > F = Residual R-squared = Adj R-squared = Total Root MSE = l lsales _cons Example 2.12: Student Math Performance and the School Lunch Program use reg math10 lnchprg Source SS df MS Number of obs = F( 1, 406) = Model Prob > F = Residual R-squared = Adj R-squared = Total Root MSE = math10 Coef. Std. Err. t P> t [95% Conf. Interval] lnchprg _cons This page prepared by Oleksandr Talavera (revised 13 Sep 2002) Send your questions/comments/suggestions to Kit Baum at baum@bc.edu These pages are maintained by the Faculty Micro Resource Center's GSA Program, a unit of Boston College Academic Technology Services
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