<>
You may want to check out
http://www.stata.com/meeting/2sweden/gutierrez_sweden07.pdf before
proceeding...
HTH
Martin
-----Ursprüngliche Nachricht-----
Von: [email protected]
[mailto:[email protected]] Im Auftrag von Stephen O'Neill
Gesendet: Sonntag, 19. Juli 2009 17:27
An: [email protected]
Betreff: Re: st: RE: Xtprobit - comparing coefficients across groups
Hi Martin,
Thanks for the suggestion, but I want to allow my coefficients to differ
across the groups also, can xtmelogit do this also? I had tried gllamm
before but it is very slow for my models!
----- Original Message ----
From: Martin Weiss <[email protected]>
To: [email protected]
Sent: Sunday, July 19, 2009 1:18:31 AM
Subject: st: RE: Xtprobit - comparing coefficients across groups
<>
The heterogeneity btw the groups could also be handled by
-xtmelogit-/-gllamm-
HTH
Martin
-----Original Message-----
From: [email protected]
[mailto:[email protected]] On Behalf Of Stephen O'Neill
Sent: Sonntag, 19. Juli 2009 02:18
To: [email protected]
Subject: st: Xtprobit - comparing coefficients across groups
Hello,
I am estimating a dynamic probit model using xtprobit following the approach
of Wooldridge (2005) "Simple solutions to the intitial conditions
problem...". My dataset contains observations for 1,200 individuals over 8
years. I wish to allow the coefficients in my model to differ across groups
(6 groups - I have a grouping variable). To do this I am currently
estimating the model separately for each group. [I had used interaction
terms originally but after reading Ai and Norton -"Interaction terms in
logit and probit models" I decided against this]. I now have 3 related
questions:
1) Is there an alternative method which does not require me to split my
sample?
2) Given that the coefficients are really (beta/sigma), how can I compare
the various coefficients (I presume I need to adjust by sigma_u)?
3) How can I test whether the coefficients differ across groups? [I also
plan to look at different two periods so this question will arise here also]
Thank you in advance for any help which you can offer,
Regards,
Stephen
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