Heteroskedasticity-Autocorrelation Robust Standard Errors Using the Bartlett Kernel without Truncation

Nicholas Kiefer ()

Working Papers from Cornell University, Center for Analytic Economics

Abstract: In this paper we analyze heteroskedasticity-autocorrelation (HAC) robust tests constructed using the Bartlett kernel without truncation. We show that while such an HAC estimator is not consistent, asymptotically valid testing is still possible. We show that tests using the Bartlett kernel without truncation are exactly equivalent to recent HAC robust tests proposed by Kiefer, Vogelsang and Bunzel (2000, Econometrica, 68, pp 695-714).

Date: 2001-02
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Journal Article: Heteroskedasticity-Autocorrelation Robust Standard Errors Using The Bartlett Kernel Without Truncation (2002)
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Persistent link: https://EconPapers.repec.org/RePEc:ecl:corcae:01-13

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