IDEAS home Printed from https://ideas.repec.org/a/cup/macdyn/v3y1999i04p506-533_01.html
   My bibliography  Save this article

Are Technology Shocks Nonlinear?

Author

Listed:
  • AltuÄŸ, Sumru
  • Ashley, Richard A.
  • Patterson, Douglas M.

Abstract

The behavior of postwar real U.S. GNP, the inputs to an aggregate production function, and several formulations of the associated Solow residuals for the presence of nonlinearities in their generating mechanisms are examined. Three different statistical tests for nonlinearity are implemented: the McLeod-Li test, the BDS test, and the Hinich bicovariance test. We find substantial evidence for nonlinearity in the generating mechanism of real GNP growth but no evidence for nonlinearity in the Solow residuals. We further find that the generating mechanism of the labor input series is nonlinear, whereas that of the capital services input appears to be linear. We therefore conclude that the observed nonlinearity in real output arises from nonlinearities in the labor markets, not from nonlinearities in the technical shocks driving the system. Finally, we investigate the source of the nonlinearities in the labor markets by examining simulated data from a model of the Dutch economy with asymmetric adjustment costs.

Suggested Citation

  • AltuÄŸ, Sumru & Ashley, Richard A. & Patterson, Douglas M., 1999. "Are Technology Shocks Nonlinear?," Macroeconomic Dynamics, Cambridge University Press, vol. 3(4), pages 506-533, December.
  • Handle: RePEc:cup:macdyn:v:3:y:1999:i:04:p:506-533_01
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S1365100599013036/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no

    Citations

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


    Cited by:

    1. Duncan, Roberto, 2016. "Does the US current account show a symmetric behavior over the business cycle?," International Review of Economics & Finance, Elsevier, vol. 41(C), pages 202-219.
    2. Valderrama, Diego, 2007. "Statistical nonlinearities in the business cycle: A challenge for the canonical RBC model," Journal of Economic Dynamics and Control, Elsevier, vol. 31(9), pages 2957-2983, September.
    3. Sean Holly & Paul Turner & Melvyn Weeks, 2003. "Asymmetric Adjustment and Bias in Estimation of an Equilibrium Relationship from a Cointegrating Regression," Computational Economics, Springer;Society for Computational Economics, vol. 21(3), pages 195-202, June.
    4. Altug, Sumru G. & Bildirici, Melike, 2010. "Business Cycles around the Globe: A Regime-switching Approach," CEPR Discussion Papers 7968, C.E.P.R. Discussion Papers.
    5. Domenico Ferraro, 2018. "The Asymmetric Cyclical Behavior of the U.S. Labor Market," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 30, pages 145-162, October.
    6. Randal J. Verbrugge, 1998. "A cross-country investigation of macroeconomic asymmetries," Macroeconomics 9809017, University Library of Munich, Germany, revised 30 Sep 1998.
    7. Domenico Ferraro, 2018. "The Asymmetric Cyclical Behavior of the U.S. Labor Market," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 30, pages 145-162, October.
    8. Diego Valderrama, 2002. "Nonlinearities in international business cycles," Working Paper Series 2002-23, Federal Reserve Bank of San Francisco, revised 2002.
    9. Sumru Altug & Erhan Uluceviz, 2011. "Leading Indicators of Real Activity and Inflation for Turkey, 2001-2010," Koç University-TUSIAD Economic Research Forum Working Papers 1134, Koc University-TUSIAD Economic Research Forum.
    10. Gary D. Hansen & Edward C. Prescott, 2005. "Capacity constraints, asymmetries, and the business cycle," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 8(4), pages 850-865, October.
    11. Diego Valderrama, 2003. "Statistical Nonlinearities in the Business Cycle," Computing in Economics and Finance 2003 219, Society for Computational Economics.

    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:cup:macdyn:v:3:y:1999:i:04:p:506-533_01. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Keith Waters). General contact details of provider: https://www.cambridge.org/mdy .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.