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Re: st: nonlinear combination from multiple model results


From   Jorge Eduardo Pérez Pérez <perez.jorge@ur.edu.co>
To   "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
Subject   Re: st: nonlinear combination from multiple model results
Date   Wed, 4 May 2011 18:07:37 -0400

You can use the -suest- command to do this. See -help suest-
_______________________
Jorge Eduardo Pérez Pérez




On Wed, May 4, 2011 at 4:43 PM, b.tracy <bst73@yahoo.com> wrote:
> I am trying to create a nonlinear combination of parameters from two different models (and I am not succeeding).
>
> As an example:
> Model 1
> reg y1 x1 x2
>
> Model 2
> reg y2 x3 x4
>
> I now would like to estimate something like:
> elas = 1 + [y1]_b[x1]/scalar1 + [y2]_b[x3]/scalar2
>
> I have been using -nlcom- for other, similar estimates (with parameters from only one model), but I cannot find a way to make it work to include results from different models.
>
> My specific case is a bit more complex than my example above, as my estimates are from multiple, multiple regression models (i.e., -reg3-).
> My specific case regards the estimation of a total price elasticity from nested translog cost functions (which requires parameters from both estimations), in the event someone has done this before using a different approach.
>
> Any help would be greatly appreciated.
>
> Regards,
>
> Brandon.
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