White test for heteroscedasticity
- Estimate the equation, get the residuals
 Regress the residuals squared on all explanatory variables and on squares and cross-products of all explanatory variables: - Get the R2 of this regression and the sample size n
- Test the joint significance of (1), using where k is the number of slope coefficients in (1)
- If nR2 is larger than the critical value, then we have to reject the null hypothesis of no heteroskedasticity
Читайте також: - Detection of Heteroscedasticity
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