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Abstract:

Econometrics Paper
ROBUST COVARIANCE MATRIX ESTIMATION: 'HAC' Estimates with Long Memory/Antipersistence Correction
Peter M Robinson
March 2004
Paper No' EM/2004/471:
Full Paper (pdf)

Tags: covariance matrix estimation; long memory; antipersistence correction; hac estimates; vector process; spectral density.

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.