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A simple message for autocorrelation correctors: don't

Mizon, G. E. (1995) A simple message for autocorrelation correctors: don't Journal of Econometrics, 69, (1), pp. 267-288. (doi:10.1016/0304-4076(94)01671-L).

Record type: Article

Abstract

Though the practice of ‘correcting for residual autocorrelation’ has long been critized, it is still commonly advocated and followed. A simple example shows that even when a linear regression model has first-order autoregressive errors, it is possible for autoregressive least squares estimation (e.g., Cochrane-Orcutt) to yield inconsistent estimates. This dramatically illustrates that ‘autocorrelation correction’ is invalid in general, and cannot be justified on the grounds of ‘robustifying’ estimation against the presence of residual serial correlation. Invalid common factors in I(1) systems also have adverse effects on inference. A ‘general-to-specific’ modelling strategy applied to the observed modelled variables avoids these difficulties.

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More information

Published date: 1995
Keywords: autocorrelation-correction, common factors, serial correlation, modelling

Identifiers

Local EPrints ID: 32884
URI: http://eprints.soton.ac.uk/id/eprint/32884
ISSN: 0304-4076
PURE UUID: c1049926-93eb-417a-8ab3-900f8ff2a092

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Date deposited: 29 Mar 2007
Last modified: 17 Jul 2017 15:54

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Contributors

Author: G. E. Mizon

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