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Duration Dependence in US Expansions: A re-examination of the evidence

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  • Portier, Franck
  • Beaudry, Paul

Abstract

It is commonly accepted that economic expansions do not exhibit duration dependence, that is, the probability of an expansion terminating in the near future is thought to be independent of the length of the expansion. Our main focus is on determining the probability of the US economy entering a recession in the following year (or following two years) conditional on the expansion having lasted q quarters. When looking at the probability of entering a recession within a year (or 2 years), we find considerable evidence of economically significant duration dependence, especially when adopting a non-parametric approach. For example, for an expansion that has lasted only 5 quarters, the probability of entering a recession in the next year is around 10%, while this increases to 30-40% if the expansion has lasted over 35 quarters. Similarly, if looking at a two years window, we find the probability of entering a recession in the next two years raises from 25-30% to around 50-80% as the expansion extends from 5 quarters to 32 quarters. This pattern suggests that certain types of macroeconomic vulnerabilities may be accumulating as the expansion ages causing the arrival of a recession to become more likely. Our non-parametric estimates suggest that this later pattern is especially important once a recession has lasted more than 6 years.

Suggested Citation

  • Portier, Franck & Beaudry, Paul, 2019. "Duration Dependence in US Expansions: A re-examination of the evidence," CEPR Discussion Papers 13626, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:13626
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    1. Paul Beaudry & Dana Galizia & Franck Portier, 2020. "Putting the Cycle Back into Business Cycle Analysis," American Economic Review, American Economic Association, vol. 110(1), pages 1-47, January.
    2. Zuehlke, Thomas W, 2003. "Business Cycle Duration Dependence Reconsidered," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(4), pages 564-569, October.
    3. Glenn D. Rudebusch, 2016. "Will the economic recovery die of old age?," FRBSF Economic Letter, Federal Reserve Bank of San Francisco.
    4. Francis X. Diebold & Glenn Rudebusch & Daniel Sichel, 1993. "Further Evidence on Business-Cycle Duration Dependence," NBER Chapters, in: Business Cycles, Indicators, and Forecasting, pages 255-284, National Bureau of Economic Research, Inc.
    5. Diebold, Francis X & Rudebusch, Glenn D, 1990. "A Nonparametric Investigation of Duration Dependence in the American Business Cycle," Journal of Political Economy, University of Chicago Press, vol. 98(3), pages 596-616, June.
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    Cited by:

    1. Antonin Aviat & Frédérique Bec & Claude Diebolt & Catherine Doz & Denis Ferrand & Laurent Ferrara & Eric Heyer & Valérie Mignon & Pierre-Alain Pionnier, 2021. "Dating business cycles in France: a reference chronology," SciencePo Working papers Main hal-03373425, HAL.
    2. Stephen Broadberry & Jagjit S. Chadha & Jason Lennard & Ryland Thomas, 2023. "Dating business cycles in the United Kingdom, 1700–2010," Economic History Review, Economic History Society, vol. 76(4), pages 1141-1162, November.

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    More about this item

    Keywords

    Recessions; Business cycles;

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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