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Re: st: slogit versus mlogit
At 12:03 PM 3/6/2006, you wrote:
(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
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?
Richard Williams, Notre Dame Dept of Sociology
OFFICE: (574)631-6668, (574)631-6463
WWW (personal): http://www.nd.edu/~rwilliam
WWW (department): http://www.nd.edu/~soc
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