15. This regression investigates how gender and region are associated with hourly earnings. The dependent variable is the natural log of EARNINGS (learn). The explanatory variables are years of experience (EXP), years of schooling (S), a dummy variable for FEMALE gender, and an interaction term for female and years of schooling called (FEMALES).
Which of the following is true?
A. The marginal effect of EXP on the wage is the same for both males and females.
B. An additional year of schooling increases the expected wage for males by approximately 17% and for females by approximately 11.5%.
C. All of these answers are true.
D. The regression can be written in equation form as
learn = 0.18 + 0.16S + 0.04EXP +0.35FEMALE -0.05(FEMALE*S)
D. The regression can be written in equation form as
learn = 0.18 + 0.16S + 0.04EXP +0.35FEMALE -0.05(FEMALE*S)
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