log(wagei) = β0 + β1edui + β2log(experi) + β3marriedi + β4blacki+ β5southi + β6urbani
Using log(wagei) = 5.354 + .0628edui + .134experi + .218marriedi+ (-.198blacki) + (-.099southi) + .179urbani
1. What is the marginal effect of experience
2. A “marriage premium†means that married men earn, on average,more than nonmarried men. Holding education, experience, race, andgeographic location constant, what is the approximate difference inmonthly salary between married men and nonmarried men? Is thisdifference statistically significant at the 10% level? 1%level?
3. Modify the model by allowing log(wage) to differ across fourgroups of men: married and black, married and nonblack, single andblack, and single and nonblack. What would it look like?