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st: Categorical dependent variable models


From   "Paley, Irina" <[email protected]>
To   "[email protected]" <[email protected]>
Subject   st: Categorical dependent variable models
Date   Mon, 20 Apr 2009 18:32:55 -0400

Dear statalist members,

Thanks for your previous help in my search for the right model, I am hoping you can prod me a little further.

I want to estimate the effect of gender on the choice between 3 types of products, and the data I have only has consumer characterisics (I can stretch it somewhat to get a couple of product characteristics, though). the data fails the iia assumption, so I want to use something more fitting than mlogit.

Is there a model, perhaps a variant of mixed logit or multinomial probit, that can allow me to have only consumer specific characteristics, and that would allow me to circumvent the assumption of uncorrelated outcome specific errors?  

I would really appreciate your suggestions.

Thanks,

Irina

 

-----Original Message-----
From: [email protected] [mailto:[email protected]] On Behalf Of Martin Weiss
Sent: Monday, April 20, 2009 6:04 PM
To: [email protected]
Subject: st: Re: GMM-estimation of probit models

<>

I do not think that there is a routine at the moment, yet this problem is very similar (I imagine) to the one that Austin presented in Chicago, July
2008: http://www.stata.com/meeting/snasug08/nichols_gmm.pdf

If you can tweak those moment conditions from poisson to probit, you can write the thing yourself... Also note the command -findit ivpois-


HTH
Martin
_______________________
----- Original Message ----- 
From: "Carlos Soares" <[email protected]>
To: <[email protected]>
Sent: Monday, April 20, 2009 11:54 PM
Subject: st: GMM-estimation of probit models


> Dear Statalisters,
>
> Would any of you know of a Stata routine to run GMM-estimation of
> probit models with endogenous regressors?
>
> Thanks,
>
> Carlos
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