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Key features and determinants of credit-less recoveries

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  • Martin Bijsterbosch
  • Tatjana Dahlhaus

Abstract

This paper aims to shed light on the characteristics and particularly the determinants of credit-less recoveries. After documenting some stylised facts of credit-less recoveries in emerging market economies, this paper uses panel probit models to analyse key determinants of credit-less recoveries. Our main findings are the following. First, our frequency analysis shows that credit-less recoveries are not unusual. Moreover, the frequency of credit-less recoveries doubles after a banking or currency crisis. Second, results from estimated panel probit models suggest that credit-less recoveries are typically preceded by large declines in economic activity and by financial stress, in particular if private sector indebtedness is high and the country is reliant of foreign capital inflows. Finally, our model performs well in predicting the credit-less recoveries experienced by emerging market economies in recent years. Copyright Springer-Verlag Berlin Heidelberg 2015

Suggested Citation

  • Martin Bijsterbosch & Tatjana Dahlhaus, 2015. "Key features and determinants of credit-less recoveries," Empirical Economics, Springer, vol. 49(4), pages 1245-1269, December.
  • Handle: RePEc:spr:empeco:v:49:y:2015:i:4:p:1245-1269
    DOI: 10.1007/s00181-014-0910-y
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    Cited by:

    1. John Inekwe, 2018. "Financial crises and the extreme bounds of predictors," Empirical Economics, Springer, vol. 55(4), pages 2047-2067, December.
    2. Corrado, Luisa & Rossi, Isolina, 2019. "Anatomy of credit-less recoveries," Journal of Macroeconomics, Elsevier, vol. 62(C).
    3. Jean-Marie Dufour & Joachim Wilde, 2018. "Weak identification in probit models with endogenous covariates," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 102(4), pages 611-631, October.
    4. Mingjin Luo & Shenqguan Wang, 2023. "Financialization and sluggish recovery of firms' investment: Global evidence from the 2007–2008 financial crisis," International Finance, Wiley Blackwell, vol. 26(3), pages 344-363, December.
    5. Sophia Dimelis & Ioannis Giotopoulos & Helen Louri, 2017. "Can Firms Grow Without Credit? A Quantile Panel Analysis in the Euro Area," Journal of Industry, Competition and Trade, Springer, vol. 17(2), pages 153-183, June.

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    More about this item

    Keywords

    Credit-less recovery; Financial crises; Panel probit; C23; C25; E32; E51; G01;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • 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
    • G01 - Financial Economics - - General - - - Financial Crises

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