IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/100362.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/100362/1/MPRA_paper_100362.pdf
    File Function: original version
    Download Restriction: no
    File URL: https://mpra.ub.uni-muenchen.de/100523/1/MPRA_paper_100523.pdf
    File Function: revised version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. √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.
    3. Borsi, Mihály Tamás, 2018. "Credit contractions and unemployment," International Review of Economics & Finance, Elsevier, vol. 58(C), pages 573-593.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    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. Borsi, Mihály Tamás, 2018. "Credit contractions and unemployment," International Review of Economics & Finance, Elsevier, vol. 58(C), pages 573-593.
    2. Laeven, Luc & Perez-Quiros, Gabriel & Rivas, María Dolores Gadea, 2020. "Growth-and-risk trade-off," Working Paper Series 2397, European Central Bank.
    3. Giacomo Rodano & Nicolas Serrano-Velarde & Emanuele Tarantino, 2018. "Lending Standards over the Credit Cycle," The Review of Financial Studies, Society for Financial Studies, vol. 31(8), pages 2943-2982.
    4. Grodecka-Messi, Anna & Kenny, Seán & Ögren, Anders, 2021. "Predictors of bank distress: The 1907 crisis in Sweden," Explorations in Economic History, Elsevier, vol. 80(C).
    5. Borsi, Mihály Tamás, 2018. "Fiscal multipliers across the credit cycle," Journal of Macroeconomics, Elsevier, vol. 56(C), pages 135-151.
    6. Saini, Seema & Ahmad, Wasim & Bekiros, Stelios, 2021. "Understanding the credit cycle and business cycle dynamics in India," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 988-1006.
    7. Constantinescu, Mihnea & Nguyen, Anh Dinh Minh, 2021. "A century of gaps: Untangling business cycles from secular trends," Economic Modelling, Elsevier, vol. 100(C).
    8. Thomas Grjebine & Fabien Tripier, 2016. "Finance and Growth: From the Business Cycle to the Long Run," Working Papers 2016-28, CEPII research center.
    9. 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.
    10. Schüler, Yves S. & Hiebert, Paul P. & Peltonen, Tuomas A., 2020. "Financial cycles: Characterisation and real-time measurement," Journal of International Money and Finance, Elsevier, vol. 100(C).
    11. Alfaro, Laura & García-Santana, Manuel & Moral-Benito, Enrique, 2021. "On the direct and indirect real effects of credit supply shocks," Journal of Financial Economics, Elsevier, vol. 139(3), pages 895-921.
    12. Laeven, Luc & McAdam, Peter & Popov, Alexander, 2023. "Credit shocks, employment protection, and growth:firm-level evidence from spain," Journal of Banking & Finance, Elsevier, vol. 152(C).
    13. Svensson, Lars E.O., 2017. "Cost-benefit analysis of leaning against the wind," Journal of Monetary Economics, Elsevier, vol. 90(C), pages 193-213.
    14. Thomas Grjebine & Fabien Tripier, 2015. "Excess Finance and Growth: Don't Lose Sight of Expansions !," Working Papers 2015-31, CEPII research center.
    15. Bauer, Gregory H., 2017. "International house price cycles, monetary policy and credit," Journal of International Money and Finance, Elsevier, vol. 74(C), pages 88-114.
    16. Caggese, Andrea & Cuñat, Vicente & Metzger, Daniel, 2019. "Firing the wrong workers: Financing constraints and labor misallocation," Journal of Financial Economics, Elsevier, vol. 133(3), pages 589-607.
    17. Duc Thi Luu, 2022. "Portfolio Correlations in the Bank-Firm Credit Market of Japan," Computational Economics, Springer;Society for Computational Economics, vol. 60(2), pages 529-569, August.
    18. Mikhail Stolbov, 2014. "International Credit Cycles: A Regional Perspective," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 1, pages 21-47.
    19. Kirstin Hubrich & Daniel F. Waggoner, 2022. "The Transmission of Financial Shocks and Leverage of Financial Institutions: An Endogenous Regime-Switching Framework," FRB Atlanta Working Paper 2022-5, Federal Reserve Bank of Atlanta.

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pra:mprapa:100362. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.