Dear all, does anybody have experience with the calculation of marginal effects (“effects”) in Mlogit (see Croissant, Package ‘mlogit’, p.8)?
1) Is there a good qualitative explanation available for the listed options for the argument “type” (“aa”, …)? When do I have to choose aa, ar…? And when can I leave it out? 2) The table in the output – how is it to read? Does it refer to relative changes (percentage) in the probability or absolute values (percentage points)? Any help including hints for literature is welcome. Best regards! -- View this message in context: http://r.789695.n4.nabble.com/Marginal-effects-in-mlogit-tp4638322.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.
