The persistent-transitory representation for earnings processes

    7 Citationer (Scopus)

    Abstract

    We consider the decomposition of shocks to a dynamic process into a persistent and a transitory component. Without additional assumptions (such as zero correlation) the decomposition of shocks into a persistent and transitory component is indeterminate. The assumption that is conventional in the earnings literature is that there is no correlation. The Beveridge-Nelson decomposition that is widely used in time series analysis assumes a perfect correlation. Without restrictions on the correlation, the persistent-transitory decomposition is only set-identified. For reasonable autoregressive moving average (ARMA) parameters the bounds for widely used objects of interest are very wide. We illustrate that these disquieting findings are of considerable practical importance, using a sample of male workers drawn from the Panel Study of Income Dynamics (PSID).

    OriginalsprogEngelsk
    TidsskriftQuantitative Economics
    Vol/bind5
    Udgave nummer3
    Sider (fra-til)555–581
    Antal sider27
    ISSN1759-7323
    DOI
    StatusUdgivet - 1 nov. 2014

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