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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
Wed, 29 Jan 2014 09:49:53 -0500
This doesn't answer your question, but Allison and others have
expressed concerns about the IIA tests:
http://www.statisticalhorizons.com/iia
Also, I assume you are using Long and Freese's spost9 package of
commands, but be explicit about where user-written commands come
from. You might be using an old version.
At 09:41 AM 1/29/2014, 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
OFFICE: (574)631-6668, (574)631-6463
HOME: (574)289-5227
EMAIL: [email protected]
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