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Re: st: Multinomial logistic regression with cross-classified data structure

From   "Michael I. Lichter" <MLichter@Buffalo.EDU>
Subject   Re: st: Multinomial logistic regression with cross-classified data structure
Date   Tue, 06 Apr 2010 19:20:19 -0400


If you have multilevel data and want to fit a cross-classified random effects mlogit model, you might be able to do it with the Stata package gllamm (see

If you are just saying that there might be interactions between neighborhood characteristics and workplace characteristics, you can certainly use -mlogit- and use factor variables (in Stata 11) or -xi- (in earlier versions of Stata) to help you specify the interactions, and you can also specify the cluster() option if you need to take clustering at the neighborhood or workplace level into account.

Does that help?


On 4/4/2010 10:59 PM, Vivien W. Chen wrote:
Dear all,

I want to fit a multinomial logistic regression model in Stata. The
dependent variable is a categorical variable that indicates 4
occupations. The control covariates include factors of individual
backgrounds, workplace features and characteristics of residential
neighborhood. The selection among these 4 occupations might be related
to workplace and neighborhood simultaneously. So I consider to fit a
multinomial logistic cross-classified model. Could I fit this kind of
model in Stata? If yet, what syntax would you suggest? Any idea will
be deeply appreciated. Thanks!

Vivien Chen
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