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TABLE IV SKILLS-RELATED WAGE DIFFERENTIALS AND PERFORMANCE-PAY (PP) JOBS Sample PP jobs Non-PP jobs All jobs OLS OLS OLS FE OLS FE Estimation method (1) (2) (3) (4) (5) (6) Performance-pay job dummy -0.4526 -0.2061 -0.2406 0.1414 (0.1019) (0.0723) (0.1251) (0.0998) Years of education 0.0929 0.0665 0.0637 0.0167 0.0584 0.0040 (0.0071) (0.0039) (0.0040) (0.0091) (0.0047) (0.0096) Education x performance-pay job 0.0365 0.0169 0.0217 -0.0079 (0.007 1) (0.0048) (0.0092) (0.0071) Education x 1990-1993 0.0161 0.0222 (0.0085) (0.0056) Education x performance-pay job 0.0190 0.0280 x 1990-1993 (0.0137) (0.0089) Potential experience (effect at 20 0.4259 0.2882 0.3010 0.4545 0.3002 0.4231 years) (0.0535) (0.0288) (0.0294) (0.1258) (0.0294) (0.1256) Experience x performance-pay job 0.1162 0.0149 0.1018 -0.0278 (0.0584) (0.0501) (0.0581) (0.0509) Tenure (effect at ten years) 0.1670 0.2197 0.2262 0.1158 0.2271 0.1191 (0.0268) (0.0154) (0.0154) (0.0129) (0.0154) (0.0129) Tenure x performance-pay job -0.0666 0.0278 -0.0677 0.0196 (0.0301) (0.0237) (0.0303) (0.0239) Number of observations 9.680 16,466 26,146 26,146 26,146 26,1462. Again using column (3), what is the return to having a performance pay job for somebody with a college degree (16 years of education), 20 years of experience, and 10 years of tenure? [6 points]Question 8: Performance-linked pay (30 points) Table IV from Lemieux, MacLeod, and Parent (Quarterly Journal of Economics, 2009; see the following page) shows results from a regression of log wages on a dummy for whether a job has pay linked to performance (e.g. salespeople paid on commission) and other variables. The data are panel data on workers. In addition to the reported coefficients, the regressions include industry, occupation, and year dummies; county unemployment; and marital status, race dummies, and union status. Standard errors are in parentheses. The model also includes quadratic functions of experience (number of years in the workforce) and tenure (number of years at this specific job). The row labeled "Experience x performance- pay" is the effect of experience at 20 years interacted with performance pay. Similarly, the row labeled "Tenure x performance pay" is the effect of tenure (evaluated at ten years) interacted with performance pay. 1. Based on column (3), is the return to education higher at performance pay jobs or non- performance pay jobs? What is the difference and is it statistically significant? [6 points]3. Regression (4) includes worker-level fixed effects. The coefficient on years of education falls from .0637 in (3) to .0167 in (4). Is this a large change in economic terms? Explain. [6 points]