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Re: st: question about 3sls using the reg3 command


From   John Antonakis <[email protected]>
To   [email protected]
Subject   Re: st: question about 3sls using the reg3 command
Date   Fri, 21 May 2010 09:14:23 +0200


Hi:

As Austin [hesitantly] suggested, you should use -cmp-, and this, particularly because it is clear that you have ordered probits as dependent variables (so, whatever the limitations are for using OLS with ordered categorical data apply here).

The one limitation with -cmp- is that it does not provide tests of overidentification. Mplus is a program that could correctly estimate this model.

HTH,
J.

____________________________________________________

Prof. John Antonakis, Associate Dean Faculty of Business and Economics
Department of Organizational Behavior
University of Lausanne
Internef #618
CH-1015 Lausanne-Dorigny
Switzerland

Tel ++41 (0)21 692-3438
Fax ++41 (0)21 692-3305

Faculty page:
http://www.hec.unil.ch/people/jantonakis

Personal page:
http://www.hec.unil.ch/jantonakis
____________________________________________________



On 21.05.2010 03:13, JOSE A ALEMAN wrote:
Hi Austin,

To answer your question, my dependent variables can only take the values 0,
1, 2, 3, 4, 5, 6, 7, or 8 in one case, and 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 or
10 in the other. How would this affect estimation?

Thanks,

Jose



Austin Nichols <austinnichols@gm ail.com> To Sent by: [email protected] owner-statalist@h cc sphsun2.harvard.e du Subject Re: st: question about 3sls using the reg3 command 05/20/2010 08:55 PM Please respond to statalist@hsphsun 2.harvard.edu



JOSE A ALEMAN <[email protected]> :
In short, no, but see
http://www.cgdev.org/content/publications/detail/1421516

-reg3- is for linear models, like OLS or -ivreg2-, and ordinal or
fractional or nonnegative dependent variables present problems; there
are several alternative approaches which are not very appealing, but
-cmp- is probably your bet best.  You should probably compare your
output there to the closest linear analog of each model using -ivreg2-
since -ivreg2- will give you a wealth of specification tests and
simple interpretations (all of which will be wrong, but might be
approximately right, given the hypothesized nonlinearity).

Do your dependent variables take on any real value between 0 and N, or
integers or some other small subset, and are the endpoints included?
l.e. is y1 in [0,8] or (0,8) or {0,1,...8} or what?  These are
important distinctions...

On Thu, May 20, 2010 at 6:52 PM, JOSE A ALEMAN <[email protected]> wrote:
Dear all,

I would like to estimate a system of simultaneous equations where my
dependent variables are both intervals (one from 0 to 8 and the other
from
0 to 10). Each dependent variable is endogenous to the other in the
system
of equations. My question is if the stata command reg3 works with such
nonlinearities? If so, is there a reference text/document that explains
this model and provides formulas that depict how estimation is achieved?

Thank you,

Jose A. Aleman, Ph.D.
Assistant Professor
Political Science Department
Fordham University
http://faculty.fordham.edu/aleman
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