If I understand correctly from their website, "discrete choice" models
are mostly generalized linear models with the common link functions
for discrete data? Apart from a few names I didn't recognize, all
analyses seem quite "standard" to me. So I wonder why you would write
the log-likelihood yours
Hi all,
Sorry to bother you. I'm estimating a discrete choice model in R using
the maxBFGS command. Since I wrote the log-likelihood myself, in order to
double check, I run the same model in Limdep. It turns out that the
coefficient estimates are quite close; however, the standard errors are v
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