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st: Re: predicting with probit


From   Kit Baum <baum@bc.edu>
To   statalist@hsphsun2.harvard.edu
Subject   st: Re: predicting with probit
Date   Fri, 19 May 2006 08:54:27 -0400

I don't think this is a sensible strategy. The subsamples defined by core/non-core are incidentally truncated based on a number of factors. The error term in the probit equation for core/non-core is doubtless correlated with the error term in the condom-use equation. That correlation will render estimates based on the subsamples inconsistent. It would seem that an alternative way to model this would be to write down your condom use regression in the context of a -heckman- selection model.

Kit Baum, Boston College Economics
http://ideas.repec.org/e/pba1.html


On May 19, 2006, at 2:33 AM, Scott wrote:


I have individual level data observed over three years.  An
individual is considered a part of a "core" group if they had 5 or
more sex partners in the last twelve months.  I am then going to see
how geographic conditions affects core and non-core members' condom
usage, but arguably condom usage and sex partners are jointly
determined.  So, instead, I have been advised to estimate a reduced-
form probit of "core" onto various exogenous determinants, and then
based on that value of "core-hat" sort my sample into predicted in/
out categories, followed by my reduced form condom-use regressions
onto each subsample.  Is there a post-estimation command that will
allow me to do this?
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