Nearly Efficient Likelihood Ratio Tests for Seasonal Unit Roots

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    Abstract

    In an important generalization of zero frequency autore-
    gressive unit root tests, Hylleberg, Engle, Granger, and Yoo (1990) developed
    regression-based tests for unit roots at the seasonal frequencies in quarterly time
    series. We develop likelihood ratio tests for seasonal unit roots and show that
    these tests are "nearly efficient" in the sense of Elliott, Rothenberg, and Stock
    (1996), i.e. that their local asymptotic power functions are indistinguishable
    from the Gaussian power envelope. Currently available nearly efficient testing
    procedures for seasonal unit roots are regression-based and require the choice
    of a GLS detrending parameter, which our likelihood ratio tests do not.
    OriginalsprogEngelsk
    Artikelnummer5
    TidsskriftJournal of Time Series Econometrics
    Vol/bind3
    Nummer1
    ISSN2194-6507
    DOI
    StatusUdgivet - 2011

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