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Re: st: RE: Heckman with variables that perfectly predict selection
From
Maria Alva <[email protected]>
To
[email protected]
Subject
Re: st: RE: Heckman with variables that perfectly predict selection
Date
Fri, 27 Aug 2010 23:09:26 +0100
Thank you for your reply. I realize it is not new. The feature is
still part of the heckman command in Stata11 however.
I would very much welcome any guidance on why a perfectly predictor is
not dropped in a probit and an intuition on instances when one would
want it not to be dropped.
Best Wishes.
maria
--
Maria Alva
PhD Candidate in Public Health
Health Economics Research Centre
University of Oxford
:
>>
>> "ADO-files What's New
>> Stata Ado-files - November 1998"
>>
>> Unless your version of Stata is really, really old, it does not refer to an innovation as far as you are concerned.
>>
>> Nick
>> [email protected]
>>
>> Maria Alva
>>
>> I recently came across the following statement in
>> http://www.stata.com/support/updates/ado/whatsnew.html
>>
>> "(STB-43) heckman heckman now has the capability to estimate models
>> with variables that perfectly predict selection. Previously heckman
>> would simply drop such variables from the selection equation, which is
>> inappropriate in most cases."
>>
>> Puzzled, I tried estimating a heckman selection correction model in a
>> data set where death is observed, and where deaths perfectly predict
>> non-responses to questionnaires.
>>
>> heckman y $x, select(selected= death $x) // selected=1 if a person
>> completes a questionnaire
>>
>> this gives me a negative single digit and statistically significant
>> coefficient. If instead I use
>>
>> probit selected death $x
>>
>> as expected, death drops out
>>
>> My question is twofold: what is the innovation in the Stata command
>> that causes death not to be dropped out of the selection equation as
>> it perfectly predicts the selection indicator? and most importantly,
>> what would be a valid instance for which it would be appropriate to
>> include a variable in the selection equation when this variable
>> perfectly predicts selection?
>>
>>
>> *
>> * 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/
>>
>
>
>
> --
> Maria Alva
> PhD Candidate in Public Health
> Health Economics Research Centre
> University of Oxford
>
--
Maria Alva
PhD Candidate in Public Health
Health Economics Research Centre
University of Oxford
*
* 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/