Hi, I am currently usind R to do a heckit maxlikehood model and I was wondering if there is anyway to do it but specifying the robustness of the std error. I would like it robust.
I am currently working with: heckit(selection= ,outcome= , method "ml") Is there anithing else to type into this function to manage that? if not, Is there any other previous or later thing to do before/after calling the heckit function to have a robust std error? Thank you! -- View this message in context: http://r.789695.n4.nabble.com/Heckit-model-with-Robus-std-error-fit-tp4671915.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
