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Conditional heteroskedasticity refers to the phenomenon where the variability of a time series or regression error term changes over time, often in response to past values or other variables. It is crucial in econometrics and finance for modeling volatility, as it can significantly impact the efficiency and validity of statistical inferences and predictions.
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