Dear Statalist,
I have the following questions on mlogit:
1) It seems that is possible to estimate an MNL model and get an
adjusted covariance matrix for the MNL estimators. While this is
straightforward in OLS (using the residual covariance matrix), I do not
follow how this is done in STATA. So does it replace the standard MNL
choice probabilities in the last iteration of the likelihood
maximization, with other choice probabilities?
2) what is the exact difference between the McFadden Hausman IIA test
and the suest based Hausman test? What is the test statistic of the last
one and how is it performed? Thank you very much in advance
--
Ioannis Tikoudis
(M.Phil, Tek.Lic)
Division of Economics
The Royal Institute of Technology
Drottning Kristinas väg 30
SE-100 44 Stockholm
Phone: +46 (0) 87906969
Cell: +46 (0) 739193271
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