Intro to Mathematical Economics
Homoscedasticity refers to a condition in statistical modeling where the variance of the errors is constant across all levels of the independent variable(s). This property is crucial for ensuring that the estimates from regression models are efficient and unbiased, which allows for valid inference in analyses involving relationships between variables. When homoscedasticity holds, it indicates that the spread of residuals remains stable, which is essential for reliable hypothesis testing and interpretation of model coefficients.
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