4. The gains in education and experience have _____________ the female/male wage gap over time.
a. increased
b. reduced
c. equalized
d. enhanced
4. The gains in education and experience have _____________ the female/male wage gap over time.
a. increased
b. reduced
c. equalized
d. enhanced
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Suppose the following wage regression is run where the results are presented in a table below:
Wage = b0 + b1*Male + b2*Age + b3*Grade + b4*Married + b5*Experience
where the variables are as defined in class. Refer to the empirical results when answering the questions.
Coefficients | Standard Error | t Stat | |
Intercept | -7.856 | 0.404 | -19.444 |
Male | 1.845 | 0.093 | 19.793 |
Age | 0.123 | 0.015 | 7.902 |
Grade | 0.677 | 0.021 | 31.920 |
Married | 0.713 | 0.099 | 7.133 |
Experience | 0.0096 | 0.0003 | 26.003 |
a) According to these regression results, do married individuals earn more than those non-married?
b) How much less would a female expect to earn on average than a male (when controlling for age, grade, marital status, and experience)?
c) Which variables are statistically significant at the 95 percent confidence level?
d) Calculate the average wage of a 20-year old married male with 16 years of education and 104 weeks of experience. Do the same for a 20-year old married female with 12 years of education and 0 work experience.
e) By how much will wages change with an additional year of education?
f) Suppose male are systematically more likely to be in a union than females and that union wages are higher than non-union wages. What effect will re-running this regression with a union dummy variable included have on the male coefficient?