Dear all,
I am currently using Eviews 6 to test my cross sectional data. By using White test, I found a heteroscedasticity problem in my result. Thus, following the guide, I try to solve this problem using "Heteroskedasticity Consistent Covariance" in Estimate Equation. The result shows an increase in coefficient's standard error, but when I try to test the estimated result with White test, the p-value remains the same. Am I done the steps wrongly? or the way I test is wrong? Is it correct if I test the result using White test again for heteroscedastocity like what i did?
May I know what is the correct way of using Heteroskedasticity Consistent Covariance to eliminate the heteroscedasticity in my model?
Thanks in advance.
White Heteroskedasticity-Consistent Standard Errors
Moderators: EViews Gareth, EViews Moderator
Re: White Heteroskedasticity-Consistent Standard Errors
Dear Sir
The same is problem with me, did you find the solution.
It would be nice of you if you sahre it .
The same is problem with me, did you find the solution.
It would be nice of you if you sahre it .
-
startz
- Non-normality and collinearity are NOT problems!
- Posts: 3797
- Joined: Wed Sep 17, 2008 2:25 pm
Re: White Heteroskedasticity-Consistent Standard Errors
White's method does not eliminate heteroskedasticity. It corrects the standard errors to account for the heteroskedasticity.
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