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Re: st: xtlogit gllamm


From   "Alexander Staus" <Alexander.Staus@uni-hohenheim.de>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: xtlogit gllamm
Date   Tue, 14 Nov 2006 15:07:29 +0100

xtlogit is for a binary outcome, while gllamm can fit other models, like e.g. multinomial logit 
models.

Alex



Am 14 Nov 2006 um 4:36 hat somsupa Nopprach geschrieben:

> Dear everyone,
> 
>   I wonder that is there any different in running
> random coefficient logit model by using -xtlogit- and
> using -gllamm- command?
> 
>   Thank you very much in advance.
> Somsupa
> 
> 
>  
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---
Dipl.-Volkswirt
Alexander Staus
Institute for Agricultural Policy and Markets	
University of Hohenheim
D-70593 Stuttgart
Germany
Ph: +49 (0)711-459-24304
Fax: +49 (0)711-459-22601
Email: alexander.staus@uni-hohenheim.de
Homepage: http://www.uni-hohenheim.de/marktlehre

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