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Re: st: multinomial logistic regression: adjacent logits

From   Constantine Daskalakis <>
Subject   Re: st: multinomial logistic regression: adjacent logits
Date   Thu, 29 Sep 2005 17:09:43 -0400

At 04:44 PM 9/29/2005, Yi-Fu Chen wrote:
Hi, everyone,

I want to run a four-category multinomial logistic model and I find the comparison will be more interesting for me if I use adjacent logits.
Does anyone know how to do multinomial logistic regression with adjacent logits?
It seems mlogit only provides baseline logits.

Any suggestions are appriciated.


In an older version of Stata I did this through -mlogit- and using -constraint- for the constraints b_j = (J-j)*b. I think this is still what you need to do.

Example: Y is the outcome (let's say it takes on values 0, 1, and 2) and X and Z are predictors.

. constraint define 1 [2]x =2*[1]x

. constraint define 2 [2]z =2*[1]z

. mlogit y x z, basecategory(0) constraint(1 2)

You can assess fit by comparing unconstrained and constrained models (see Stata manual for mlogit, constrained models).

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Constantine Daskalakis, ScD
Assistant Professor,
Thomas Jefferson University, Division of Biostatistics,
211 S. 9th St., Suite 602, Philadelphia, PA 19107
Tel: 215-955-5695
Fax: 215-503-3804
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