Intro to Econometrics
Homoscedasticity refers to the assumption that the variance of the errors in a regression model is constant across all levels of the independent variable(s). This property is crucial for ensuring valid statistical inference, as it allows for more reliable estimates of coefficients and standard errors, thereby improving the overall robustness of regression analyses.
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