Improved HAC Covariance Matrix Estimation Based on Forecast Errors
نویسندگان
چکیده
We propose computing HAC covariance matrix estimators based on one-stepahead forecasting errors. It is shown that this estimator is consistent and has smaller bias than other HAC estimators. Moreover, the tests that rely on this estimator have more accurate sizes without sacrificing its power.
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