16. 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, an interaction term for female and years of schooling called (FEMALES), and dummy variables for region where the respondent lives, where the northeast region (REGNE) has been dropped.
What is the marginal effect of an addition year of schooling on EARNINGS for males?
A. An additional year of schooling raises wages by $0.15 holding all other explanatory variables constant.
B. An additional year of schooling raises wages by 15.2% holding all other explanatory variables constant.
C. An additional year of schooling raises wages by $0.165 holding all other explanatory variables constant.
D. An additional year of schooling raises wages by 16.5% holding all other explanatory variables constant.
A. An additional year of schooling raises wages by $0.15 holding all other explanatory variables constant.
Students succeed in their courses by connecting and communicating with an expert until they receive help on their questions
Consult our trusted tutors.
Login | Sign Up
