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Power and Bias of Likelihood Based Inference in the Cointegration Model under Fractional Cointegration

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Author Info

  • Andersson, Michael K.

    (Dept. of Economic Statistics, Stockholm School of Economics)

  • Gredenhoff, Mikael P.

    (Dept. of Economic Statistics, Stockholm School of Economics)

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    Abstract

    This paper investigates how fractional cointegration affects the common maximum likelihood cointegration procedure. It is shown that the likelihood ratio test of no cointegration has considerable power against fractional alternatives. In contrast to the case of a cointegrated system, the usual maximum likelihood estimator gives severely biased estimates of the long-run relation under fractional cointegration. This suggests that the standard likelihood approach should be used with caution and that a test to separate fractionally cointegrated series from series that are cointegrated of an integer order should be executed prior to estimation.

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    Bibliographic Info

    Paper provided by Stockholm School of Economics in its series Working Paper Series in Economics and Finance with number 221.

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    Length: 20 pages
    Date of creation: 24 Feb 1998
    Date of revision:
    Publication status: Published in Economics Letters, 1999, pages 143-147.
    Handle: RePEc:hhs:hastef:0221

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    Postal: The Economic Research Institute, Stockholm School of Economics, P.O. Box 6501, 113 83 Stockholm, Sweden
    Phone: +46-(0)8-736 90 00
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    Web page: http://www.hhs.se/
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    Related research

    Keywords: Error correction; likelihood ratio test; maximum likelihood; fractional integration;

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    Cited by:
    1. Lyhagen, Johan, 1998. "Maximum likelihood estimation of the multivariate fractional cointegrating model," Working Paper Series in Economics and Finance 233, Stockholm School of Economics.

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