Please use the “WOMEN13” data attached to answer the questions below. Data include the following variables:
D = 1 if a woman is looking for a job, 0 otherwise
M = 1 if a woman is married, 0 otherwise
S = Number of years of schooling for each woman included in the analysis
1) First estimate a linear probability model (LPM) that regresses whether a woman is looking for a job (D) on whether she is married (M) and years of schooling (S). Are the results as expected? Interpret the results with emphasis on a) whether coefficients are statistically significant, b) marginal effects, and c) model fit.
2) Next, estimate a “probit” model using the same data. Are the results as expected? Interpret the results with emphasis on a) whether coefficients are statistically significant, b) marginal effects, c) and 3) model fit.
3) Finally, estimate a “logit” model using the same data. Are the results as expected? Interpret the results with emphasis on a) whether coefficients are statistically significant, b) marginal effects, c) odds ratios, and d) model fit.