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From |
Richard Williams <Richard.A.Williams.5@ND.edu> |

To |
statalist@hsphsun2.harvard.edu, statalist@hsphsun2.harvard.edu |

Subject |
Re: RE : Heteroskedasticity and fixed effects (was: st: RE: Re: Weak instruments) |

Date |
Thu, 17 Jul 2008 09:41:33 -0500 |

At 07:22 AM 7/17/2008, Maarten buis wrote:

I might have a slightly different take: If a test for hetero comes up positive, don't just assume that means that you should use wls or robust standard errors or whatever. Other problems in model specification could be affecting your hetero test, e.g. you need to include interaction terms or squared terms or whatever. The advice you sometimes hear that hetero isn't that big of a deal is a bit misleading, I think, because hetero may be a byproduct of other problems in model specification.A final note, though you will probably already know it as it is (or should be) in any intro stats book: Do not test for heteroskedasticity before you have looked at the functional form of the effects of your predictors.

Anyway, one way or another, your goal is to get the right functional form, and a positive hetero test may indicate that you haven't achieved that yet.

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Richard Williams, Notre Dame Dept of Sociology

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**Follow-Ups**:**RE: RE : Heteroskedasticity and fixed effects (was: st: RE: Re: Weak instruments)***From:*"Verkuilen, Jay" <JVerkuilen@gc.cuny.edu>

**References**:**RE : Heteroskedasticity and fixed effects (was: st: RE: Re: Weakinstruments)***From:*Gaulé Patrick <patrick.gaule@epfl.ch>

**Re: RE : Heteroskedasticity and fixed effects (was: st: RE: Re: Weak instruments)***From:*Maarten buis <maartenbuis@yahoo.co.uk>

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