Question
A large company is accused of gender discrimination in wages. The following model has been estimated from the company’s human resource information. ln(wage) = 12
A large company is accused of gender discrimination in wages. The following model has been estimated from the company’s human resource information.
ln(wâge) = 12 + 0.0BEDU + 0.5EXPER -2 FEMALE
Where
WAGE - is hourly wage
EDU - is years of education
EXPER - is years of relevant experience
MALE - indicates the employee is male.
1. How much more do men at the firm earn, on average?
a. | $1.21 per hour more than females | |
b. | $0.1932 more per year than females | |
c. | $0.1932 per hour | |
d. | 0.1932% more than females |
2. A union representative suspects that men are paid more than women. What hypothesis would the representative use?
a. | H0: βMALE = 0 H1: βMALE > 0 | |
b. | H0: βMALE = 0 H1: βMALE < 0 | |
c. | H0: βMALE = βEDU = βEXPER = 0 H1: βMALE ≠ 0 and βEDU = 0 and βEXPER = 0 | |
d. | H0: βMALE = 0 H1: βMALE ≠ 0 |
3. In the past, it has been argued that men have been in the workforce much longer than women. As companies pay more with experience, men receive more wages as a result. Another researcher wants another model to be estimated accounting for the difference in experience by each gender. The effects of education on wage is something that the researcher is also interested in observing. Which of these models is likely to be used by the researcher?
a. | ln(WAGE) = β0 + β1EDU + β2EXPER + β3MALE + β4(EXPER·MALE) + u | |
b. | ln(WAGE) = β0 + β1EDU + β2EXPER + β3MALE + u | |
c. | ln(WAGE) = β0 + β1(EXPER·MALE) + u | |
d. | ln(WAGE) = β0 + β1EDU + β2EXPER + β3MALE + u |
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