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An investigation into the probability that this is the last year of the economic expansion

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  • Manfred Keil
  • Edward Leamer
  • Yao Li

Abstract

The paper finds determinants for the end of U.S. economic expansions since 1960 using a binary variable approach. Different from previous studies, we specify a left‐hand side variable that is coded as one during the year prior to NBER dated recessions rather than during recessions. We thereby avoid confounding the occurrence of a recession with its length. We limit the sample by excluding recession periods and the recovery months during the subsequent expansions. This eliminates contamination of the conclusions by taking out observations for which subsequent recessions are unlikely. The resulting specification with the interest rate spread as a predictor outperforms the traditionally used equation and is robust against alternative specifications regarding the warning period.

Suggested Citation

  • Manfred Keil & Edward Leamer & Yao Li, 2023. "An investigation into the probability that this is the last year of the economic expansion," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(5), pages 1228-1244, August.
  • Handle: RePEc:wly:jforec:v:42:y:2023:i:5:p:1228-1244
    DOI: 10.1002/for.2939
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    References listed on IDEAS

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    1. Bernard, Henri & Gerlach, Stefan, 1998. "Does the Term Structure Predict Recessions? The International Evidence," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 3(3), pages 195-215, July.
    2. Marcelle Chauvet & Simon Potter, 2005. "Forecasting recessions using the yield curve," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(2), pages 77-103.
    3. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    4. Arturo Estrella & Anthony P. Rodrigues & Sebastian Schich, 2003. "How Stable is the Predictive Power of the Yield Curve? Evidence from Germany and the United States," The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 629-644, August.
    5. James H. Stock & Mark W.Watson, 2003. "Forecasting Output and Inflation: The Role of Asset Prices," Journal of Economic Literature, American Economic Association, vol. 41(3), pages 788-829, September.
    6. Estrella, Arturo & Hardouvelis, Gikas A, 1991. "The Term Structure as a Predictor of Real Economic Activity," Journal of Finance, American Finance Association, vol. 46(2), pages 555-576, June.
    7. Peter Johansson & Andrew C. Meldrum, 2018. "Predicting Recession Probabilities Using the Slope of the Yield Curve," FEDS Notes 2018-03-01-3, Board of Governors of the Federal Reserve System (U.S.).
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    Cited by:

    1. Priscila Silva & Mariana Hidalgo & Mindy Hotchkiss & Lasitha Dharmasena & Igor Linkov & Lance Fiondella, 2024. "Predictive Resilience Modeling Using Statistical Regression Methods," Mathematics, MDPI, vol. 12(15), pages 1-30, July.
    2. Pascal Michaillat & Emmanuel Saez, 2024. "Has the Recession Started?," Papers 2408.05856, arXiv.org, revised Sep 2024.

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