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MCS,PHD
Argosy University/ Phoniex University/
Nov-2005 - Oct-2011
Professor
Phoniex University
Oct-2001 - Nov-2016
C14 Use the data in BEAUTY.RAW for this question.
(i) 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) 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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