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From | John Antonakis <John.Antonakis@unil.ch> |
To | statalist@hsphsun2.harvard.edu |
Subject | Re: st: Negative R-squareds using xtivreg2 |
Date | Sun, 25 Mar 2012 13:56:47 +0200 |
See this: http://www.stata.com/support/faqs/stat/2sls.htmlA negative r-square is not necessarily problematic (though it is likely that the model is misspecified). You might want to use another kind of estimator for binary dependent variables.
Best, J. __________________________________________ Prof. John Antonakis 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 http://www.hec.unil.ch/people/jantonakis Associate Editor The Leadership Quarterly __________________________________________ On 25.03.2012 12:53, Nick Cox wrote: > Away from plain or vanilla regression, there are numerous different > definitions of R-squared that need not give the same numeric answer. > The help documents the flavo[u]rs reported and their different > definitions. R-sq < 0 usually implies a lousy model in some sense; > such results rarely make it to the literature. > > If your dependent variable is binary, it is not clear why you think > this is a good command to use. > > Nick > > 2012/3/25 Rüdiger Vollmeier <ruediger.vollmeier@googlemail.com>: > >> I am running an IV regression accounting for country fixed effects >> using the -xtivreg2- command. Stata reports R-squares. However, they >> are surprisingly negative(!). Does anybody know why this is the >> case?!? >> >> Should they be adjusted somehow? Is the fact that my dependent >> variable is binary problematic? > * > * 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/