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Some International Evidence on Double-Dip Recession

Author

Listed:
  • Ben L. Kyer

    (Francis Marion University)

  • Gary E. Maggs

    (St. John Fisher College)

Abstract

With quarterly data on real gross domestic product for 21 nations from the Organization for Economic Co-operation and Development, this paper investigates the relatively neglected concept of double-dip recession. For this paper, a double-dip recession is defined as a second decline of real gross domestic product (GDP) after a trough of the economic cycle but prior to the reversion point or the previous peak level of real GDP. We find that while traditional or single-dip recessions constitute the majority of the recessions found for this paper, double-dip recessions are rather common occurrences across the world. However, higher-order multi-dip recessions, with three or more declines of real GDP before the reversion point is attained, are considerably less prevalent. We also find evidence of what we term trough-deepening multi-dip recessions.

Suggested Citation

  • Ben L. Kyer & Gary E. Maggs, 2019. "Some International Evidence on Double-Dip Recession," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 25(3), pages 347-362, August.
    • Handle: RePEc:kap:iaecre:v:25:y:2019:i:3:d:10.1007_s11294-019-09747-2
    DOI: 10.1007/s11294-019-09747-2
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    References listed on IDEAS

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    1. Paul Krugman & Robin Wells, 2017. "Essentials of Economics," Palgrave Macmillan Books, Palgrave Macmillan, edition 0, number 978-1-319-18664-7.
    2. Nicholas Bloom, 2009. "The Impact of Uncertainty Shocks," Econometrica, Econometric Society, vol. 77(3), pages 623-685, May.
    3. Arthur F. Burns & Wesley C. Mitchell, 1946. "Measuring Business Cycles," NBER Books, National Bureau of Economic Research, Inc, number burn46-1, March.
    4. Camacho, Maximo & Perez Quiros, Gabriel & Poncela, Pilar, 2014. "Green shoots and double dips in the euro area: A real time measure," International Journal of Forecasting, Elsevier, vol. 30(3), pages 520-535.
    5. Tyler Atkinson & Harvey Rosenblum, 2010. "Gauging the odds of a double-dip recession amid signals and slowdowns," Economic Letter, Federal Reserve Bank of Dallas, vol. 5(12), pages 1-4, December.
    6. Jacques Anas & Monica Billio & Laurent Ferrara & Gian Luigi Mazzi, 2008. "A System For Dating And Detecting Turning Points In The Euro Area," Manchester School, University of Manchester, vol. 76(5), pages 549-577, September.
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    Keywords

    Double-dip recession; Reversion point;

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