IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/3556.html
   My bibliography  Save this paper

Labor Hoarding and the Business Cycle

Author

Listed:
  • Craig Burnside
  • Martin Eichenbaum
  • Sergio Rebelo

Abstract

Existing Real Business Cycle (RBC) models assume that the key impulses to business cycles are stochastic technology shocks. RBC analysts typically measure these technology shocks by the Solow residual. This paper assesses the sensitivity of inference based on Solow residual accounting to labor hoarding behavior. Our main results can be summarized as follows. First, the quantitative implications of RBC models are very sensitive to the possibility of labor hoarding. Allowing for such behavior reduces our estimate of the variance of technology shocks by 50%. Depending on the sample period investigated, this reduces the ability of technology shocks to account for aggregate output fluctuations by 30% to 60%. Second, our labor hoarding model is capable of quantitatively accounting for the observed correlation between government consumption and the Solow residual. Third, unlike standard RBC models, our labor hoarding model is consistent with three important qualitative features of the joint behavior of average productivity and hours worked: (i) average productivity and hours worked do not display any marked contemporaneous correlation, (ii) average productivity is positively correlated with future hours worked, and (iii) average productivity is negatively correlated with lagged hours worked.

Suggested Citation

  • Craig Burnside & Martin Eichenbaum & Sergio Rebelo, 1990. "Labor Hoarding and the Business Cycle," NBER Working Papers 3556, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:3556
    Note: EFG
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w3556.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Prescott, Edward C., 1986. "Theory ahead of business-cycle measurement," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 25(1), pages 11-44, January.
    2. Baxter, Marianne & King, Robert G, 1993. "Fiscal Policy in General Equilibrium," American Economic Review, American Economic Association, vol. 83(3), pages 315-334, June.
    3. Eichenbaum, Martin & Hansen, Lars Peter, 1990. "Estimating Models with Intertemporal Substitution Using Aggregate Time Series Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(1), pages 53-69, January.
    4. Lawrence J. Christiano, 1987. "Why is consumption less volatile than income?," Quarterly Review, Federal Reserve Bank of Minneapolis, issue Fall, pages 2-20.
    5. Julio J. Rotemberg & Lawrence H. Summers, 1988. "Labor Hoarding, Inflexible Prices, and Procyclical Productivity," NBER Working Papers 2591, National Bureau of Economic Research, Inc.
    6. Evans, Charles L., 1992. "Productivity shocks and real business cycles," Journal of Monetary Economics, Elsevier, vol. 29(2), pages 191-208, April.
    7. Rogerson, Richard, 1988. "Indivisible labor, lotteries and equilibrium," Journal of Monetary Economics, Elsevier, vol. 21(1), pages 3-16, January.
    8. Christiano, Lawrence J & Eichenbaum, Martin, 1992. "Current Real-Business-Cycle Theories and Aggregate Labor-Market Fluctuations," American Economic Review, American Economic Association, vol. 82(3), pages 430-450, June.
    9. Robert J. Gordon, 1979. "The "End-of-Expansion" Phenomenon in Short-Run Productivity Behavior," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 10(2), pages 447-462.
    10. Hall, Robert E, 1988. "The Relation between Price and Marginal Cost in U.S. Industry," Journal of Political Economy, University of Chicago Press, vol. 96(5), pages 921-947, October.
    11. Jess Benhabib & Randall Wright & Richard Rogerson, 1990. "Homework in Macoreconomics I: Basic Theory (Part I of II)," NBER Working Papers 3344, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    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:nbr:nberwo:3556. 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: (). General contact details of provider: http://edirc.repec.org/data/nberrus.html .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.