IDEAS home Printed from https://ideas.repec.org/a/ier/iecrev/v45y2004i1p175-204.html
   My bibliography  Save this article

A Markov-Switching Model Of Gnp Growth With Duration Dependence

Author

Listed:
  • Pok-sang Lam

Abstract

A Markov-switching model of postwar quarterly real GNP growth is used to examine the duration dependence of business cycles. It extends the Hamilton model and the duration-dependent model of Durland and McCurdy, and compares quite favorably to simpler models in out-of-sample forecasting. When an expansion begins, the probability of the expansion ending is 0.2, but it gradually decreases as the expansion ages. When a contraction begins, the probability of the contraction terminating is 0.07, but it increases rapidly as the contraction ages. Output growth slows over the course of an expansion. The hypothesis of the 7-10-year cycle is not supported. Copyright 2004 by the Economics Department Of The University Of Pennsylvania And Osaka University Institute Of Social And Economic Research Association.

Suggested Citation

  • Pok-sang Lam, 2004. "A Markov-Switching Model Of Gnp Growth With Duration Dependence," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 45(1), pages 175-204, February.
  • Handle: RePEc:ier:iecrev:v:45:y:2004:i:1:p:175-204
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ier:iecrev:v:45:y:2004:i:1:p:175-204. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley-Blackwell Digital Licensing or the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/deupaus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.