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Credit cycles and labor market slacks: predictive evidence from Markov-switching models

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  • Lopez Buenache, German
  • Borsi, Mihály Tamás
  • Rosa-García, Alfonso

Abstract

We model unemployment and credit cycle dynamics as a Markov-switching process with two states to identify labor market slacks i.e., periods of unemployment above its natural rate. Our results for the US economy between 1955 and 2015 show that credit contractions improve the identification of high unemployment states. Moreover, we find that credit cycles have a sizable out-of-sample predictive power on labor market slacks. This implies that the evolution of credit can be used as a leading indicator for economic policies.

Suggested Citation

  • Lopez Buenache, German & Borsi, Mihály Tamás & Rosa-García, Alfonso, 2020. "Credit cycles and labor market slacks: predictive evidence from Markov-switching models," MPRA Paper 100362, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:100362
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    References listed on IDEAS

    as
    1. Borsi, Mihály Tamás, 2018. "Credit contractions and unemployment," International Review of Economics & Finance, Elsevier, vol. 58(C), pages 573-593.
    2. Samuel Bentolila & Marcel Jansen & Gabriel Jiménez, 2018. "When Credit Dries Up: Job Losses in the Great Recession," Journal of the European Economic Association, European Economic Association, vol. 16(3), pages 650-695.
    3. Mathias Drehmann & Claudio Borio & Kostas Tsatsaronis, 2012. "Characterising the financial cycle: don't lose sight of the medium term!," BIS Working Papers 380, Bank for International Settlements.
    4. 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.
    5. Samuel Bentolila & Marcel Jansen & Gabriel Jiménez, 2018. "Erratum: When Credit Dries Up: Job Losses in the Great Recession," Journal of the European Economic Association, European Economic Association, vol. 16(2), pages 560-560.
    6. David López-Salido & Jeremy C. Stein & Egon Zakrajšek, 2017. "Credit-Market Sentiment and the Business Cycle," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(3), pages 1373-1426.
    7. Moritz Schularick & Alan M. Taylor, 2012. "Credit Booms Gone Bust: Monetary Policy, Leverage Cycles, and Financial Crises, 1870-2008," American Economic Review, American Economic Association, vol. 102(2), pages 1029-1061, April.
    8. √Íscar Jord√Ä & Moritz Schularick & Alan M. Taylor, 2013. "When Credit Bites Back," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(s2), pages 3-28, December.
    9. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    10. Maria Dolores Gadea Rivas & Gabriel Perez-Quiros, 2015. "The Failure To Predict The Great Recession—A View Through The Role Of Credit," Journal of the European Economic Association, European Economic Association, vol. 13(3), pages 534-559, June.
    11. Gabriel Chodorow-Reich, 2014. "The Employment Effects of Credit Market Disruptions: Firm-level Evidence from the 2008-9 Financial Crisis," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(1), pages 1-59.
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    More about this item

    Keywords

    credit cycle; unemployment; forecast; Markov-switching;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers

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