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AW: Re: st: marginal effects after random effects ordered probit


From   "schelkem@bluewin.ch" <schelkem@bluewin.ch>
To   <statalist@hsphsun2.harvard.edu>
Subject   AW: Re: st: marginal effects after random effects ordered probit
Date   Tue, 10 Oct 2006 22:15:32 +0000 (GMT)

Thank you very much for your response. Sorry, I was not specific 
enough!

I estimate the following model:

eoprob y x1 x2 x3 x4, i (id)

thereafter, I would like to get the marg. effects for some
variables x1 and x2 for outcome 1 (e.g.) and use the post
estimation command

mfx, predict (p outcome(1)) varlist(x1 x2)

this however, is not supported by reoporb. Has somebody already 
coded that?
Thanks a lot and best,
Mark

----Ursprüngliche Nachricht----
Von: scunning@gmail.com
Datum: 10.10.2006 23:59
An: <statalist@hsphsun2.harvard.edu>
Betreff: Re: st: marginal effects after random effects ordered 
probit


On Oct 10, 2006, at 5:53 PM, schelkem@bluewin.ch wrote:
> Dear all
>
> Has anyone coded the mfx function to work after the random 
effects
> ordered probit estimator (reoprob)? Guillaume Frechette, the 
author
> of reoprob, said that he had many inquiries for the mfx
> postestimation function, and somebody might already have coded 
it.
>
> Thanks a lot,
> Mark
> *
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I'm assuming that the straightforward syntax of -mfx- doesn't 
work  
then with -reoprob-?  With nonlinear models, I usually do 
something  
like:

- mfx, dydx-
- mfx, eyex-

with the first giving me the coefficients in terms of level on 
level  
and the latter in terms of an elasticity.  Your question makes 
me  
think -reoprob- may be different, but that's how you'd do it 
with,  
say, poisson or nbreg.

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*
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