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RE: st: RE: Three-stage Heckprob selection model - how to do?


From   "Pascal Stock" <[email protected]>
To   <[email protected]>
Subject   RE: st: RE: Three-stage Heckprob selection model - how to do?
Date   Fri, 14 May 2010 10:55:50 +0200

Thanks Martin,

I am coming closer to a solution. The textbook about Microeconometrics with
STATA I fetched from the library. Let's see whether I can design a good
model.

Kind regards

Pascal

____________________________________________
Pascal Stock

Quadrat N4, 8-9
68131 Mannheim
Germany

Phone: +49 (0) 621 - 16753 - 80
Fax: +49 (0) 621 - 16753 - 81
Mobile phone: +49 (0) 178 - 4981887
Email: [email protected]

-----Original Message-----
From: [email protected]
[mailto:[email protected]] On Behalf Of Martin Weiss
Sent: Freitag, 14. Mai 2010 10:31
To: [email protected]
Subject: AW: st: RE: Three-stage Heckprob selection model - how to do?


<> 


You want to take a look at http://www.stata-press.com/books/mus.html,
section 13.4.5., where Cameron and Trivedi -bootstrap- for the se of a
two-step estimator. Careful, the second edition is now out.



HTH
Martin


-----Ursprüngliche Nachricht-----
Von: [email protected]
[mailto:[email protected]] Im Auftrag von Pascal Stock
Gesendet: Freitag, 14. Mai 2010 10:15
An: [email protected]
Betreff: RE: st: RE: Three-stage Heckprob selection model - how to do?

Hello Martin,
thanks for the advice. The cmp command looks interesting.

The problem with the manual design of a selection model by computing the
inverse mills ration and entering it as additional regressor in the
structural equation is the adjustment of the variance of the estimated
regression coefficients of the structural equation, as the inverse mills
ratio is estimated as well. Does anyone know how to adjust the variance as
described in theory by Greene (2003, p. 785) or Heckman (1979)?

Kind regards

Pascal

____________________________________________
Pascal Stock

Quadrat N4, 8-9
68131 Mannheim
Germany

Phone: +49 (0) 621 - 16753 - 80
Fax: +49 (0) 621 - 16753 - 81
Mobile phone: +49 (0) 178 - 4981887
Email: [email protected]




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