IDEAS home Printed from https://ideas.repec.org/a/bpj/bejmac/vcontributions.4y2004i1n5.html

What Does It Take to Explain Procyclical Productivity?

Author

Listed:
  • Wen Yi

    (Cornell University)

Abstract

Labor productivity comoves strongly with output, leads output and employment, and is only weakly correlated with employment. Procyclical productivity is observed in virtually all countries and industries, and it is observed even in periods of fluctuations due to pure demand shocks, such as during the Great Depression and the second World War. This paper shows that a standard RBC model driven by demand shocks alone is able to explain procyclical productivity without the need to resort to technology shocks or increasing returns to scale. The key element is labor hoarding due to adjustment cost of labor. It is also shown that the observed cross-country differences in productivity cycles can be rationalized by a single parameter alone - the size of the adjustment cost of labor.

Suggested Citation

  • Wen Yi, 2004. "What Does It Take to Explain Procyclical Productivity?," The B.E. Journal of Macroeconomics, De Gruyter, vol. 4(1), pages 1-40, June.
  • Handle: RePEc:bpj:bejmac:v:contributions.4:y:2004:i:1:n:5
    DOI: 10.2202/1534-6005.1180
    as

    Download full text from publisher

    File URL: https://doi.org/10.2202/1534-6005.1180
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.

    File URL: https://libkey.io/10.2202/1534-6005.1180?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or

    for a different version of it.

    Other versions of this item:

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    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:bpj:bejmac:v:contributions.4:y:2004:i:1:n:5. 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: Peter Golla (email available below). General contact details of provider: https://www.degruyterbrill.com .

    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.