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| 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. > * > * 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/ > * * 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/