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For continuous outcomes & multinomial selection, this is probably what you want:
http://www.pse.ens.fr/gurgand/selmlog13.html
T
On Fri, Jul 10, 2009 at 12:31 AM, Monica
Yanez-Pagans<[email protected]> wrote:
> Dear Stata users:
>
> I am trying to address selectivity bias in the estimation of an earnings function when selection is specified as a multinomial logit model. It is in my understanding that there are three different main approaches in the literature to do so, namely the Lee (1983) approach, the Dubin and McFadden (1984) approach, and a semi-parametric approach by Dahl (2002). I am wondering if anyone knows of any routine in Stata that allows implementing any of such procedures.
>
> Thank you very much,
>
> Monica
>
> *
> * For searches and help try:
> * http://www.stata.com/help.cgi?search
> * http://www.stata.com/support/statalist/faq
> * http://www.ats.ucla.edu/stat/stata/
>
--
To every ω-consistent recursive class κ of formulae there correspond
recursive class signs r, such that neither v Gen r nor Neg(v Gen r)
belongs to Flg(κ) (where v is the free variable of r).
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
