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Re: st: IIA test for multinomial logit


From   Richard Williams <[email protected]>
To   [email protected], "[email protected]" <[email protected]>
Subject   Re: st: IIA test for multinomial logit
Date   Tue, 04 Feb 2014 17:51:40 -0500

Paulina, you posted the same question on Jan 29 and received these responses:

http://www.stata.com/statalist/archive/2014-01/msg01048.html

http://www.stata.com/statalist/archive/2014-01/msg01078.html

Did you try the ideas suggested? Did they not work? If they didn't did you receive new errors, or what? We need to know if you tried the original proposed solutions and what the results were before we can offer any new advice.


At 10:48 AM 2/4/2014, Stepien, Paulina wrote:
Dear Stata Users,

I am trying to perform an IIA test for multinomial logit where dependent variable employment status (empl_st6) has 4 categories: 0 unemployed, 1 employed for wages, 2 self-employed, 3 employer. I have tried running the test in two ways, none of which seem to be working.

Firstly, I have run mlogit regression followed by mlogtest, smhsiao. This command returns following error messages: 'problem determining number of categories' and 'factor variables and time series operators not allowed'.

I have looked at the dependent variable specification but not sure what may be wrong with it. I have also looked at all potential factor variables and time series markers but even after eliminating potential culprits the test does not work. One advice I have found on stata blog is to continue setting seeds until it works, which I have tried with no success. I am not sure how many times I should try before I give up.

Secondly, I have tried running smhsiao empl_st6, elim(0) but two problems occur here: the regression fails to calculate chi2 and an error message comes up saying 'equation unemployed not found'. When I recode categories to run from 1-4 instead 0-3, the error message does not come up but chi2 is still not being calculated.

I would be most grateful if someone could advise what I am doing wrong or whether there is any solution to this problem.

Thank you in advance.

Paulina


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Richard Williams, Notre Dame Dept of Sociology
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