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Re: st: slogit versus mlogit


From   Richard Williams <Richard.A.Williams.5@ND.edu>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: slogit versus mlogit
Date   Mon, 06 Mar 2006 14:13:56 -0500

At 12:03 PM 3/6/2006, you wrote:
Hi
I wonder if anyone can help me?
I am trying to model an ordinal response variable with three levels. I do not have proportional odds and so I have been investigating the stereotype model. I understand that if the stereotype model is of its maximum dimension, in my case 2, then the model is equivalent to a multinomial logistic regression model. Given that I believe that a 2-dimensional model would be an improvement over a 1-dimensional model for my data, is there any benefit in fitting the model using slogit rather than mlogit? Alternatively, does anyone know where I can find detailed information on the interpretation of a 2-dimensional stereotype type model from slogit, especially when my explanatory variables are categorical?
Thanks
Sara
(Self-plug here) You may also want to take a look at -gologit2-. -gologit2- provides a means for estimating models that are less restrictive than ologit and more parsimonious than mlogit. The program can be downloaded from SSC. The support page for -gologit2-, which includes a pre-publication version of an article that is in the current Stata journal, can be found at

http://www.nd.edu/~rwilliam/gologit2/index.html


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Richard Williams, Notre Dame Dept of Sociology
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