RE: st: binary endogenous variable in OLS

["Jun Xu" <mystata@hotmail.com>]

Thanks a lot again, Mark and Kit.

Jun Xu
Ph.D. Candidate
Department of Sociology
Indiana University at Bloomington





> From: "Mark Schaffer" <M.E.Schaffer@hw.ac.uk>
> Reply-To: statalist@hsphsun2.harvard.edu
> To: statalist@hsphsun2.harvard.edu
> CC: statalist@hsphsun2.harvard.edu
> Subject: RE: st: binary endogenous variable in OLS
> Date: Sat, 10 Sep 2005 17:12:28 +0100 (BST)
>
> This has come up on Statalist in the past:
>
> http://www.stata.com/statalist/archive/2004-07/msg00699.html
>
> has some other suggestions.
>
> --Mark
>
> NB: I just used Google on the keywords "statalist dummy endogenous ivreg"
> to get this link.  Aren't search engines wonderful?
>
> > I think probably the key words that I entered might not that capturing.
> > Thanks a lot.
> >
> > Jun Xu
> > Ph.D. Candidate
> > Department of Sociology
> > Indiana University at Bloomington
> >
> >
> >
> >
> >>From: Kit Baum <baum@bc.edu>
> >>Reply-To: statalist@hsphsun2.harvard.edu
> >>To: statalist@hsphsun2.harvard.edu
> >>Subject: st: binary endogenous variable in OLS
> >>Date: Sat, 10 Sep 2005 11:21:17 -0400
> >>
> >>I searched both FAQ and Stata listserv, but could find threads about
> >>estimating a regression with a binary endogenous rhs variable. I  think
> >>it's
> >>not about selection and because it's binary, so I cannot use heckman or
> >>ivreg. Appreciate any ideas.
> >>
> >>
> >>findit cdsimeq
> >>
> >>Kit Baum, Boston College Economics
> >>http://ideas.repec.org/e/pba1.html
> >>
> >>
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>
> Prof. Mark Schaffer
> Director, CERT
> Department of Economics
> School of Management & Languages
> Heriot-Watt University, Edinburgh EH14 4AS
> tel +44-131-451-3494 / fax +44-131-451-3294
> email: m.e.schaffer@hw.ac.uk
> web: http://www.sml.hw.ac.uk/ecomes
>
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