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From | Stas Kolenikov <skolenik@gmail.com> |
To | statalist@hsphsun2.harvard.edu |
Subject | Re: st: Heteroskedasticity Test in svy |
Date | Thu, 17 Mar 2011 09:45:10 -0500 |
On Thu, Mar 17, 2011 at 8:18 AM, R G <rghertner@yahoo.com> wrote: > I'm using Stata's svy commands, and am trying to figure out if there is an > equivalent to imtest, White to do a heteroskedasticity test (besides plotting > residuals and variables). It does not make sense in the context of design-based inference paradigm. There are no information matrices to talk about, and variance estimators are generalizations of White's heteroskedasticity-robust estimators, i.e., correct for heteroskedasticity already. If you want to pursue small gains in efficiency by modeling variance of the residuals, you can try to do that, but you run into risk of misspecifying the variance model which would only make things worse. -- Stas Kolenikov, also found at http://stas.kolenikov.name Small print: I use this email account for mailing lists only. * * 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/