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Re: st: maximum number of outcomes in mlogit


From   Steven Samuels <sjhsamuels@earthlink.net>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: maximum number of outcomes in mlogit
Date   Tue, 20 May 2008 12:41:13 -0400

One might need 54 categories if they have factorial structure: factors A,B,C,... with levels kA, kB, kC, .. such that 54 = kA x kB x kC x...

If so, log-linear modeling via -glm- or Adrian Mander's -ipf- would be an appropriate analysis

-Steve

On May 20, 2008, at 12:15 PM, Maarten buis wrote:


--- "Tiemann, Michael" <Tiemann@bibb.de> wrote:
I'm running into an unexpected problem (ie I have not considered this
might be problematic). I want to estimate a multinomial logistic
model with mlogit. But my dependent variable holds 54 categories.
Now, when I try to run mlogit I am informed there are too many
categories.

Consulting the help file exerts that there is a maximum of 50
categories. Well, just 4 short . . .
My data is such that ordered or stereotype logistic regression (with
a maximum of 30 outcomes) does not apply.
Is there any way to get stata to accept more than 50 outcomes?
Such a model seems to me very very problematic. Are you extremely sure
you want to do this for 54 categories, and that you have enough data
and that your data is sufficiently well behaved to reliably estimate
such a model? I cannot imagine any real world dataset in which such a
model could be meaningfully estimated. (My imagination is finite
though, so it may exist)

-- Maarten


-----------------------------------------
Maarten L. Buis
Department of Social Research Methodology
Vrije Universiteit Amsterdam
Boelelaan 1081
1081 HV Amsterdam
The Netherlands

visiting address:
Buitenveldertselaan 3 (Metropolitan), room Z434

+31 20 5986715

http://home.fsw.vu.nl/m.buis/
-----------------------------------------


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