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MCS,PHD
Argosy University/ Phoniex University/
Nov-2005 - Oct-2011
Professor
Phoniex University
Oct-2001 - Nov-2016
C14Â Â Â Â Â Â Â Use the data in BEAUTY.RAW for this question.
(i)Â Â Â Â Â Â Using the data pooled for men and women, estimate the equation
lwage 5 b0 1 b1belavg 1 b2abvavg 1 b3 female 1 b4educ 1 b5exper 1 b5exper2 1 u,
and report the results using heteroskedasticity-robust standard errors below coefficients. Are any of the coefficients surprising in either their signs or magni- tudes? Is the coefficient on female practically large and statistically significant?
(ii)Â Â Â Â Add interactions of female with all other explanatory variables in the equation from part (i) (five interactions in all). Compute the usual F test of joint signifi- cance of the five interactions and a heteroskedasticity-robust version. Does using the heteroskedasticity-robust version change the outcome in any important way?
(iii)   In the full model with interactions, determine whether those involving the looks variables—female • belavg and female • abvavg—are jointly significant. Are their coefficients practically small?
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