Testing Methods of Heteroscedasticity in Regression Models
Chen Sheng-tao
Abstract
Chen Sheng-tao
Abstract
Athough the existence of heteroscedasticity does not destroy the unbiasedness of the OLS estimators,the variances become larger.Thus,it makes the heteroscedasticity unreliable.Thus,it is of great significance to choose the proper testingmethods of heteroscedasticity.In this article,we summarize and evaluate several methods that are often utilized to test heteroscedasticity in detail,and discuss advantages and defects of these methods.
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Athough the existence of heteroscedasticity does not destroy the unbiasedness of the OLS estimators,the variances become larger.Thus,it makes the heteroscedasticity unreliable.Thus,it is of great significance to choose the proper testingmethods of heteroscedasticity.In this article,we summarize and evaluate several methods that are often utilized to test heteroscedasticity in detail,and discuss advantages and defects of these methods.
Key concepts: Heteroscedasticity, Econometrics, Estimator, Statistics, Mathematics, Ordinary least squares