Robust covariance matrix estimation: 'HAC' estimates with long memory/antipersistence correction

P. M. Robinson

LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library

Abstract: Smoothed nonparametric estimates of the spectral density matrix at zero frequency have been widely used in econometric inference, because they can consistently estimate the covariance matrix of a partial sum of a possibly dependent vector process. When elements of the vector process exhibit long memory or antipersistence such estimates are inconsistent. We propose estimates which are still consistent in such circumstances, adapting automatically to memory parameters that can vary across the vector and be unknown.

JEL-codes: J1 (search for similar items in EconPapers)
Date: 2005-02
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Citations: View citations in EconPapers (25)

Published in Econometric Theory, February, 2005, 21(1), pp. 171-180. ISSN: 1469-4360

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