IDEAS home Printed from https://ideas.repec.org/a/oup/ecinqu/v37y1999i2p226-41.html
   My bibliography  Save this article

The U.S. Productivity Slowdown: A Peak through the Structural Break Window

Author

Listed:
  • Dolmas, Jim
  • Raj, Baldev
  • Slottje, Daniel J

Abstract

This paper provides a formal test of the null hypothesis of a unit root in the log-level of labor productivity against the alternative of linear trend stationarity with a one-time structural break in the level and slope of the trend at an a priori unknown date. Using some newly developed time series tests, the authors show that the log-level of productivity is more accurately modeled as following a deterministic trend with a regime shift rather than as a unit root process. Some implications of the results for detrending and for testing cointegration relationships between productivity and other variables are discussed. Copyright 1999 by Oxford University Press.

Suggested Citation

  • Dolmas, Jim & Raj, Baldev & Slottje, Daniel J, 1999. "The U.S. Productivity Slowdown: A Peak through the Structural Break Window," Economic Inquiry, Western Economic Association International, vol. 37(2), pages 226-241, April.
  • Handle: RePEc:oup:ecinqu:v:37:y:1999:i:2:p:226-41
    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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Patrick Francois & Joanne Roberts, 2003. "Contracting Productivity Growth," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(1), pages 59-85.
    2. Kevin J. Lansing, 2000. "Learning about a shift in trend output: implications for monetary policy and inflation," Proceedings, Federal Reserve Bank of San Francisco.
    3. Giordani, Paolo & Kohn, Robert & van Dijk, Dick, 2007. "A unified approach to nonlinearity, structural change, and outliers," Journal of Econometrics, Elsevier, vol. 137(1), pages 112-133, March.
    4. Smyth, Russell & Inder, Brett, 2004. "Is Chinese provincial real GDP per capita nonstationary?: Evidence from multiple trend break unit root tests," China Economic Review, Elsevier, vol. 15(1), pages 1-24.
    5. Pelaez, Rolando F., 2004. "Dating the productivity slowdown with a structural time-series model," The Quarterly Review of Economics and Finance, Elsevier, vol. 44(2), pages 253-264, May.
    6. Li, Xiao-Ming, 2000. "The Great Leap Forward, Economic Reforms, and the Unit Root Hypothesis: Testing for Breaking Trend Functions in China's GDP Data," Journal of Comparative Economics, Elsevier, vol. 28(4), pages 814-827, December.

    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:oup:ecinqu:v:37:y:1999:i:2:p:226-41. 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: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/weaaaea.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.