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Re: st: Sample selection variable for bivariate probit selection


From   "Carlos Gamero" <[email protected]>
To   <[email protected]>
Subject   Re: st: Sample selection variable for bivariate probit selection
Date   Fri, 25 Jan 2008 12:16:39 +0100

Dear Marteen,

In your previous messages you advice me to use heckprob command in order to manage the situation I describe. However, heckprob command is designed to correct sample selection bias when both, main regression (job satisfaction) and selection equation, are probit regressions. But, what happens when you do not have a probit as selection equation but a bivariate probit as it is in my case?

Thanks a lot,
Carlos

----- Original Message ----- From: "Maarten buis" <[email protected]>
To: <[email protected]>
Cc: <[email protected]>
Sent: Friday, January 25, 2008 12:05 PM
Subject: Re: st: Sample selection variable for bivariate probit selection



--- Carlos Gamero <[email protected]> wrote:
I have a question related to STATA software that I hope you can help
me solving. I'm estimating a probit model of childs' job satisfaction
(only satisfied-dissatisfied options). We want to correct for sample
selection bias in such model, taking into account child's labor
participation. As working and schooling decissions are correlated, we
think in a bivariate probit (working/schooling decissions) as
specification for the selection mechanism. �Is there any possibility
in STATA to use a bivariate probit model as the selection criterion
when the regression part of the model is assumed NOT to be linear
(job satisfaction probit model)?
I have already answered this question twice:
http://www.stata.com/statalist/archive/2008-01/msg00374.html

If you want more information you should refine your question, for
instance by saying in what sense you found the previous answer
unsatisfactory. Repeating the same question over and over again while
it has been answered will only cause irritation.

-- Maarten

-----------------------------------------
Maarten L. Buis
Department of Social Research Methodology
Vrije Universiteit Amsterdam
Boelelaan 1081
1081 HV Amsterdam
The Netherlands

visiting address:
Buitenveldertselaan 3 (Metropolitan), room Z434

+31 20 5986715

http://home.fsw.vu.nl/m.buis/
-----------------------------------------


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