IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/5477.html
   My bibliography  Save this paper

How Precise are Estimates of the Natural Rate of Unemployment?

Author

Listed:
  • Douglas Staiger
  • James H. Stock
  • Mark W. Watson

Abstract

This paper investigates the precision of conventional and unconventional estimates of the natural rate of unemployment (the 'NAIRU'). The main finding is that the NAIRU is imprecisely estimated: a typical 95% confidence interval for the NAIRU in 1990 is 5.1% to 7.7%. This imprecision obtains whether the natural rate is modeled as a constant, as a slowly changing function of time, as an unobserved random walk, or as a function of various labor market fundamentals; it obtains using other series for unemployment and inflation, including additional supply shift variables in the Phillips curve, using monthly or quarterly data, and using various measures for expected inflation. This imprecision suggests caution in using the NAIRU to guide monetary policy.

Suggested Citation

  • Douglas Staiger & James H. Stock & Mark W. Watson, 1996. "How Precise are Estimates of the Natural Rate of Unemployment?," NBER Working Papers 5477, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:5477
    Note: EFG ME
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w5477.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Victor Zarnowitz & Phillip Braun, 1993. "Twenty-two Years of the NBER-ASA Quarterly Economic Outlook Surveys: Aspects and Comparisons of Forecasting Performance," NBER Chapters, in: Business Cycles, Indicators, and Forecasting, pages 11-94, National Bureau of Economic Research, Inc.
    2. Layard, Richard & Nickell, Stephen & Jackman, Richard, 2005. "Unemployment: Macroeconomic Performance and the Labour Market," OUP Catalogue, Oxford University Press, number 9780199279173, Decembrie.
    3. Alexander H. Sarris, 1973. "A Bayesian Approach To Estimation Of Time-Varying Regression Coefficients," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 2, number 4, pages 501-523, National Bureau of Economic Research, Inc.
    4. Cooley, Thomas F & Prescott, Edward C, 1973. "Tests of an Adaptive Regression Model," The Review of Economics and Statistics, MIT Press, vol. 55(2), pages 248-256, May.
    5. Bai, Jushan, 1997. "Estimating Multiple Breaks One at a Time," Econometric Theory, Cambridge University Press, vol. 13(3), pages 315-352, June.
    6. Geoffrey M. B. Tootell, 1994. "Restructuring, the NAIRU, and the Phillips curve," New England Economic Review, Federal Reserve Bank of Boston, issue Sep, pages 31-44.
    7. Cooley, Thomas F & Prescott, Edward C, 1973. "An Adaptive Regression Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(2), pages 364-371, June.
    8. Setterfield, M. A. & Gordon, D. V. & Osberg, L., 1992. "Searching for a will o' the wisp : An empirical study of the NAIRU in Canada," European Economic Review, Elsevier, vol. 36(1), pages 119-136, January.
    9. Stephen G. Cecchetti, 1995. "Inflation Indicators and Inflation Policy," NBER Chapters, in: NBER Macroeconomics Annual 1995, Volume 10, pages 189-236, National Bureau of Economic Research, Inc.
    10. Cooley, Thomas F & Prescott, Edward C, 1976. "Estimation in the Presence of Stochastic Parameter Variation," Econometrica, Econometric Society, vol. 44(1), pages 167-184, January.
    11. Robert G. King & James H. Stock & Mark W. Watson, 1995. "Temporal instability of the unemployment-inflation relationship," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 19(May), pages 2-12.
    12. Steven J. Davis & John Haltiwanger, 1992. "Gross Job Creation, Gross Job Destruction, and Employment Reallocation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(3), pages 819-863.
    13. Oliver Jean Blanchard & Peter Diamond, 1989. "The Beveridge Curve," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 20(1), pages 1-76.
    14. Stock, James H., 1991. "Confidence intervals for the largest autoregressive root in U.S. macroeconomic time series," Journal of Monetary Economics, Elsevier, vol. 28(3), pages 435-459, December.
    15. King, Robert G. & Watson, Mark W., 1994. "The post-war U.S. phillips curve: a revisionist econometric history," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 41(1), pages 157-219, December.
    16. Stuart E. Weiner, 1993. "New estimates of the natural rate of unemployment," Economic Review, Federal Reserve Bank of Kansas City, vol. 78(Q IV), pages 53-69.
    17. Gordon, Robert J, 1990. "What Is New-Keynesian Economics?," Journal of Economic Literature, American Economic Association, vol. 28(3), pages 1115-1171, September.
    18. Kuttner, Kenneth N, 1994. "Estimating Potential Output as a Latent Variable," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(3), pages 361-368, July.
    19. Giuseppe Bertola & Ricardo J. Caballero, 1994. "Cross-Sectional Efficiency and Labour Hoarding in a Matching Model of Unemployment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(3), pages 435-456.
    20. Roy Cromb, 1993. "A Survey of Recent Econometric Work on the NAIRU," Journal of Economic Studies, Emerald Group Publishing, vol. 20(1/2), pages 27-51, January.
    21. Kenneth N. Kuttner, 1992. "Monetary policy with uncertain estimates of potential output," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 16(Jan), pages 2-15.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Douglas Staiger & James H. Stock & Mark W. Watson, 1997. "The NAIRU, Unemployment and Monetary Policy," Journal of Economic Perspectives, American Economic Association, vol. 11(1), pages 33-49, Winter.
    2. Delle Monache, Davide & Petrella, Ivan, 2017. "Adaptive models and heavy tails with an application to inflation forecasting," International Journal of Forecasting, Elsevier, vol. 33(2), pages 482-501.
    3. Davide Delle Monache & Ivan Petrella, 2014. "Adaptive Models and Heavy Tails," Birkbeck Working Papers in Economics and Finance 1409, Birkbeck, Department of Economics, Mathematics & Statistics.
    4. Lee, Jim, 2000. "The Robustness of Okun's Law: Evidence from OECD Countries," Journal of Macroeconomics, Elsevier, vol. 22(2), pages 331-356, April.
    5. Mark S Astley & Tony Yates, 1999. "Inflation and real disequilibria," Bank of England working papers 103, Bank of England.
    6. Stock, James H & Watson, Mark W, 1996. "Evidence on Structural Instability in Macroeconomic Time Series Relations," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(1), pages 11-30, January.
    7. Feldstein, Martin & Stock, James H., 1996. "Measuring money growth when financial markets are changing," Journal of Monetary Economics, Elsevier, vol. 37(1), pages 3-27, February.
    8. James H. Stock & Mark W. Watson, 1996. "Asymptotically Median Unbiased Estimation of Coefficient Variance in a Time Varying Parameter Model," NBER Technical Working Papers 0201, National Bureau of Economic Research, Inc.
    9. Min, Chung-ki, 1998. "A Gibbs sampling approach to estimation and prediction of time-varying-parameter models," Computational Statistics & Data Analysis, Elsevier, vol. 27(2), pages 171-194, April.
    10. Luca Benati, 2003. "Evolving Post-World War II U.K. Economic Performance," Computing in Economics and Finance 2003 171, Society for Computational Economics.
    11. Ravi Balakrishnan, 2001. "The interaction of firing costs and on-the-job search: an application of a search theoretic model to the Spanish labour market," Working Papers 0102, Banco de España.
    12. Marika Karanassou & Hector Sala & Dennis J. Snower, 2010. "Phillips Curves And Unemployment Dynamics: A Critique And A Holistic Perspective," Journal of Economic Surveys, Wiley Blackwell, vol. 24(1), pages 1-51, February.
    13. repec:spo:wpecon:info:hdl:2441/1625 is not listed on IDEAS
    14. Murphy, Kevin J. & Payne, James E., 2003. "Explaining change in the natural rate of unemployment: A regional approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 43(2), pages 345-368.
    15. Donald T. Sant, 1977. "Generalized Least Squares Applied to Time Varying Parameter Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 6, number 3, pages 301-314, National Bureau of Economic Research, Inc.
    16. Robert J. Gordon, 1997. "The Time-Varying NAIRU and Its Implications for Economic Policy," Journal of Economic Perspectives, American Economic Association, vol. 11(1), pages 11-32, Winter.
    17. Thomas F. Cooley, 1975. "A Comparison of Robust and Varying Parameter Estimates of a Macro-Econometric Model," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 4, number 3, pages 373-388, National Bureau of Economic Research, Inc.
    18. Clark, Todd E. & McCracken, Michael W., 2006. "The Predictive Content of the Output Gap for Inflation: Resolving In-Sample and Out-of-Sample Evidence," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(5), pages 1127-1148, August.
    19. Cara S. Lown & Robert W. Rich, 1997. "Is there an inflation puzzle?," Economic Policy Review, Federal Reserve Bank of New York, vol. 3(Dec), pages 51-77.
    20. Burgess, Simon & Turon, Hélène, 2010. "Worker flows, job flows and unemployment in a matching model," European Economic Review, Elsevier, vol. 54(3), pages 393-408, April.
    21. Éric Heyer & Xavier Timbeau, 2002. "Le chômage structurel à 5 % en France ?," Revue de l'OFCE, Presses de Sciences-Po, vol. 80(1), pages 115-151.

    More about this item

    JEL classification:

    • E6 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook

    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:5477. 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.

    If CitEc recognized a bibliographic 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.

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