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From |
"Andrea Molinari" <[email protected]> |

To |
<[email protected]> |

Subject |
Re: st: Hausman test |

Date |
Mon, 9 Aug 2004 10:14:55 +0100 |

Mark, Thanks very much for your suggestion. After thinking about it, I realised that testing the (maybe) inconsistent model vs. the consistent one was not the right way of doing it. I'll look for the artificial regression, then! Thanks again Andrea ----- Original Message ----- From: "Mark Schaffer" <[email protected]> To: <[email protected]> Sent: Sunday, August 08, 2004 10:49 PM Subject: Re: st: Hausman test > Andrea, > > From: "Andrea Molinari" <[email protected]> > To: <[email protected]> > Subject: Re: st: Hausman test > Date sent: Thu, 5 Aug 2004 13:55:16 +0100 > Send reply to: [email protected] > > > Thanks! That did the trick... > > Careful! This is the right thing to do only if you were doing it > backwards (=wrongly) to begin with. Stata needs to know which is the > efficient model and which is the inefficient-but-consistent model. > Reversing the order is equivalent to telling it to switch them > around, but if the order is backwards then you have a useless > (=wrong) test statistic. > > The root of the problem is that to guarantee a positive test > statistic, you need to use the same estimate of the error variance > throughout the calculation - either the random effects estimate or > the fixed effects estimate. Stata's -hausman- command lets you do > this with the -sigmamore- or -sigmaless- options, but the last time I > checked, xtreg doesn't leave the right information in the estimation > results that would enable these options to work. Without these > options, you get a statistic that is still asymptotically correct, > but prone to occasional misbehaviour in finite samples. > > I don't know about getting suest to work with panels. Your other > option is to run the test using the artificial regression approach. > This is guaranteed to generate a positive test statistic - I think > Davidson and MacKinnon (1993) describe how to do it. > > Hope this helps. > > --Mark > > > Andrea > > > > ----- Original Message ----- > > From: "David Greenberg" <[email protected]> > > To: <[email protected]> > > Sent: Wednesday, August 04, 2004 11:59 PM > > Subject: Re: st: Hausman test > > > > > > > Try doing the estimation of the two models in the opposite order. David > > Greenberg, Sociology Dept., New York University > > > > > > ----- Original Message ----- > > > From: Andrea Molinari <[email protected]> > > > Date: Wednesday, August 4, 2004 6:22 am > > > Subject: st: Hausman test > > > > > > > Dear all, > > > > When estimating a Hausman test between fixed and random effects > > > > models for a > > > > subsample, I got a negative chi2 value (!) together with the following > > > > message: > > > > > > > > model fitted on these data fails to meet the asymptotic > > > > assumptions of the > > > > Hausman test; see suest for a generalized test > > > > > > > > > > > > but I could not implement suest for panel. Does anyone have a hint > > > > on how to > > > > do this? > > > > > > > > > > > > > > > > Thanks! > > > > > > > > > > > > Andrea > > > > > > > > > > > > > > > > > > > > * > > > > * For searches and help try: > > > > * http://www.stata.com/support/faqs/res/findit.html > > > > * http://www.stata.com/support/statalist/faq > > > > * http://www.ats.ucla.edu/stat/stata/ > > > > > > > > > > * > > > * For searches and help try: > > > * http://www.stata.com/support/faqs/res/findit.html > > > * http://www.stata.com/support/statalist/faq > > > * http://www.ats.ucla.edu/stat/stata/ > > > > > > > > > * > > * For searches and help try: > > * http://www.stata.com/support/faqs/res/findit.html > > * http://www.stata.com/support/statalist/faq > > * http://www.ats.ucla.edu/stat/stata/ > > Prof. Mark E. Schaffer > Director > Centre for Economic Reform and Transformation > Department of Economics > School of Management & Languages > Heriot-Watt University, Edinburgh EH14 4AS UK > 44-131-451-3494 direct > 44-131-451-3008 fax > 44-131-451-3485 CERT administrator > http://www.som.hw.ac.uk/cert > > * > * For searches and help try: > * http://www.stata.com/support/faqs/res/findit.html > * http://www.stata.com/support/statalist/faq > * http://www.ats.ucla.edu/stat/stata/ > * * For searches and help try: * http://www.stata.com/support/faqs/res/findit.html * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**References**:**Re: st: Hausman test***From:*"Mark Schaffer" <[email protected]>

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