Heteroskedasticity

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cyclechic
Posts: 4
Joined: Wed May 11, 2011 7:57 am

Heteroskedasticity

Postby cyclechic » Wed May 25, 2011 7:54 am

Hello All,

I have run a cross-section regression using 2SLS that is free from all specification problems except heteroskedasticity.

To correct for this I have used the White method and, as expcted, the coefficients have remained the same, and the standard errors and t-statistics vary slightly.

I then re-ran the misspecification tests and, as when using 2SLS, the model passed all tests (in fact all the test statistics were the same) except the test for heteroskedasticity, implying that although I corrected for the problem, heteroskedasticity was still present. Could somebody just tell me if running the misspecification tests is appropriate after applying the White remedy, or do I just accept that the coefficients are no longer fully efficient and carry on with interpretation as normal?

Thank you in advance,

cyclechic.

startz
Non-normality and collinearity are NOT problems!
Posts: 3775
Joined: Wed Sep 17, 2008 2:25 pm

Re: Heteroskedasticity

Postby startz » Wed May 25, 2011 8:19 am

cyclechic wrote:Hello All,

I have run a cross-section regression using 2SLS that is free from all specification problems except heteroskedasticity.

To correct for this I have used the White method and, as expcted, the coefficients have remained the same, and the standard errors and t-statistics vary slightly.

I then re-ran the misspecification tests and, as when using 2SLS, the model passed all tests (in fact all the test statistics were the same) except the test for heteroskedasticity, implying that although I corrected for the problem, heteroskedasticity was still present. Could somebody just tell me if running the misspecification tests is appropriate after applying the White remedy, or do I just accept that the coefficients are no longer fully efficient and carry on with interpretation as normal?

Thank you in advance,

cyclechic.

White's method doesn't remove the heteroskedasticity. After all, as you point out, the coefficients are unchanged. White's method only corrects the standard errors.

cyclechic
Posts: 4
Joined: Wed May 11, 2011 7:57 am

Re: Heteroskedasticity

Postby cyclechic » Wed May 25, 2011 8:38 am

Ah, ok. Thanks for your help.

To remove the heteroscedasticity.. Weighted Least Squares?

cyclechic

startz
Non-normality and collinearity are NOT problems!
Posts: 3775
Joined: Wed Sep 17, 2008 2:25 pm

Re: Heteroskedasticity

Postby startz » Wed May 25, 2011 9:20 am

Weighted TSLS is certainly fine, that's essentially GMM. Or you might just stick with 2SLS with White standard errors.


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