Heteroscedasticity is a statistical condition in which the variance of the errors or the dependent variable varies across observations. It often signals that the model’s residuals do not have constant variance, which can affect inference and standard errors. In econometrics and statistics, detecting heteroscedasticity is crucial for appropriate model specification and hypothesis testing.
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