Re: st: RE: specification test after non-linear regression

[Cindy Gao <cindy.gao@ymail.com>]

Thank you Nick for your quick reply. I did see that there was nothing under -nl postestimation-, but I thought there might be some user-written routine or other way around it. I realise that a test for omitted nonlinear variables would not make that much sense for -nl- models in general, but is there no other way of testing/checking how 'good'/appropriately specified a -nl- model is (other than just looking at the Rsq)? 

Thank you.

sincerely,
Cindy




----- Original Message ----
From: Nick Cox <n.j.cox@durham.ac.uk>
To: statalist@hsphsun2.harvard.edu
Sent: Wed, 16 June, 2010 17:07:00
Subject: st: RE: specification test after non-linear regression

The help for -nl postestimation- tells you what is available after -nl-. 

It doesn't include this kind of test, which doesn't make much sense with -nl- models in general. 

Nick 
n.j.cox@durham.ac.uk 

Cindy Gao

I am trying to find out how to do a specification test (e.g. to test whether specification is correct, omitted variables etc) after running a non-linear least squares regression. My regression command is of the form:

- nl (depvar = {b0} + {b1}*var1+ indicator*({b2} + {b3}*var1) + {b4}*var2 + {b5}*var3) -

(where depvar is the dependent variable, var1-3 are explanatory variables, and indicator is an indicator variable). (This can also be done by going to the Statistics item on the menu, then linear models and related, then other, nonlinear least squares). The regression runs successfully and I obtain my results.

The problem comes when I try to run the specification test immediately afterwards. I try to run the Ramsey specification test  ( - estat ovtest - ) but get the following error message:

invalid subcommand ovtest
r(321);

I have tried even with alternative nonlinear regressions and get the same outcome. Does this-ovtest-  command not work in general after running a nonlinear regression? How then to do a specification test in any other way? I really need to do one.


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