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Re: st: Q on reg3 output for model fit
From
John Antonakis <[email protected]>
To
[email protected]
Subject
Re: st: Q on reg3 output for model fit
Date
Sun, 10 Feb 2013 09:26:58 +0100
I would worry more about the chi-square statistic of fit (i.e.,
overidentification statistic, which is what I assume you are talking
about). If that is significant, the model is misspecified and an
unlikely candidate to have generated the data. So, I would rethink the
model.
Best,
J.
__________________________________________
John Antonakis
Professor of Organizational Behavior
Director, Ph.D. Program in Management
Faculty of Business and Economics
University of Lausanne
Internef #618
CH-1015 Lausanne-Dorigny
Switzerland
Tel ++41 (0)21 692-3438
Fax ++41 (0)21 692-3305
http://www.hec.unil.ch/people/jantonakis
Associate Editor
The Leadership Quarterly
__________________________________________
On 10.02.2013 07:17, Jason R Franken wrote:
I'm running 3SLS using reg3 and get negative R-square (consistent with the explanation at http://www.stata.com/support/faqs/statistics/two-stage-least-squares/). As I understand, this can happen when the mean of the dependent variable is a better predictor than the model. However, the p-values of the chi-square statistic are significant. What if anything can I determine about model fit from the R-square and chi-square statistics in the output of reg3?
Thank you in advance for any insight you can provide.
Jason Franken
Jason Franken
Assistant Professor
School of Agriculture
Western Illinois University
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