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Understanding Heteroskedasticity in Regression by samulleg is a document available to read on EtoBox.
What is Understanding Heteroskedasticity in Regression about?
1) Heteroskedasticity occurs when the variance of the error term is not constant but depends on the independent variables. This violates the assumption of homoskedasticity in the standard regression model. 2) If heteroskedasticity is present, OLS estimates are still unbiased but the standard errors will be biased. This means that the usual t-statistics and F-statistics cannot be relied upon. 3) Several tests exist to detect heteroskedasticity, including the Breusch-Pagan test and White test, which check if
- Author
- samulleg
- Language
- EN