Re: st: maximum number of outcomes in mlogit

[Steven Samuels <sjhsamuels@earthlink.net>]

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