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?
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?
