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From |
Maarten Buis <[email protected]> |

To |
[email protected] |

Subject |
Re: st: Estimating MNL model |

Date |
Fri, 11 Oct 2013 21:00:59 +0200 |

A multinomial logit model can be estimated in Stata using -mlogit-, see -help mlogit-. You could have found that out yourself by typing in Stata -findit multinomial logit-. I assume that with "specific variables" you mean variables that influence the probability of only one outcome category. This is conceptually problematic: If the probability of one outcome changes, than the probabilities of one or more other outcome categories has to change as well, otherwise the probabilities do not add up to 1. A multinomial logit solves that by focussing on the ratio of the probability of one outcome catogary and a fixed baseline category. So, if you constrain a variable to influence only one variable (using -constraint-, see: -help constraint-), any change in the probability of that outcome category is compensated by a change in the probablity of only the base category. I suspect that this is not what you want, but it is hard to imagine another solution that would be generally reasonable. It may be that your specific problem allows for a solution, but since you did not tell us any of the specifics we cannot help you with that. Hope this helps, Maarten On Fri, Oct 11, 2013 at 6:23 PM, Nabin Kafle <[email protected]> wrote: > How can I estimate MNL moedl in stata with alternate specific and > generic variables. What would be the command to describe them and run > the model. Thanks in advance > > -- > Nabin Kafle > * > * For searches and help try: > * http://www.stata.com/help.cgi?search > * http://www.stata.com/support/faqs/resources/statalist-faq/ > * http://www.ats.ucla.edu/stat/stata/ -- --------------------------------- Maarten L. Buis WZB Reichpietschufer 50 10785 Berlin Germany http://www.maartenbuis.nl --------------------------------- * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/

**References**:**st: Estimating MNL model***From:*Nabin Kafle <[email protected]>

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