I have so far used the following command glm(formula = s ~ age + gender + gemedu + gemhinc + es_gdppc + imf_pop + estbbo_m, family = binomial(link = "probit"))
My question is 1. How do i discard the non significant selection variables (one out of the seven variables above is non-significant) and calculate the Inverse Mills Ratio of the significant variables 2. I need the inverse mills ratio from the above to run the outcome equation model using OLS with the Inverse mills ratio as the control for selection bias, kindly help, hence I need to get the IMR 3. How can this eb done in R using my concept or otherwise does there exist anotehr way of doing what I wish to achieve Please help Thanks# Saurav -- Dr.Saurav Pathak PhD, Univ.of.Florida Mechanical Engineering Doctoral Student Innovation and Entrepreneurship Imperial College Business School s.patha...@imperial.ac.uk 0044-7795321121 [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.