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Duration dependence and change-points in the likelihood of credit booms ending

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  • Castroa, Vitor
  • Kubota, Megumi

Abstract

Whether the likelihood of a credit boom ending is dependent on its age or not, or whether the respective behavior is smooth or bumpy are important issues to which the economic literature has not given attention yet. This paper tries to fill that gap, exploring those issues with a proper duration analysis. Credit booms are identified considering two criteria well established in the literature: (i) the Mendoza-Terrones criteria and (ii) and the Gourinchas-Valdes-Landarretche criteria. A continuous-time Weibull duration model is employed over a group of 71 countries for the period 1975q1-2010q4 to investigate whether credit booms are duration dependent or not. The findings show that the likelihood of credit booms ending increases over their duration and that these events have become longer over the past decades. In addition, the paper extends the baseline Weibull duration model in order to allow for change-points in the duration dependence parameter. The empirical findings support the presence of a change-point: increasing positive duration dependence is observed in booms that last less than eight to ten quarters, but it becomes decreasing or even irrelevant for longer events. Analogous results are found for those credit boom episodes that are followed by systemic banking crisis (bad credit booms). The findings also show that credit booms are, on average, longer in industrial than in developing countries.

Suggested Citation

  • Castroa, Vitor & Kubota, Megumi, 2013. "Duration dependence and change-points in the likelihood of credit booms ending," Policy Research Working Paper Series 6475, The World Bank.
  • Handle: RePEc:wbk:wbrwps:6475
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    Cited by:

    1. Stijn Claessens & M Ayhan Kose, 2018. "Frontiers of macrofinancial linkages," BIS Papers, Bank for International Settlements, number 95.
    2. Vítor Castro & Rodrigo Martins, 2021. "What drives the duration of credit booms?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 1531-1549, January.
    3. Vítor Castro & Rodrigo Martins, 2018. "Economic and political drivers of the duration of credit booms," NIPE Working Papers 15/2018, NIPE - Universidade do Minho.
    4. Garšvienė Lina & Balčiūnaitė Kristina & Matuzevičiūtė Kristina & Ruplienė Dovilė, 2022. "Assessment of Factors Determining the Level of Private Credit in European Union Countries," Management of Organizations: Systematic Research, Sciendo, vol. 87(1), pages 67-82, June.
    5. Vítor Castro & Rodrigo Martins, 2020. "Riding the Wave of Credit: Are Longer Expansions Really a Bad Omen?," Open Economies Review, Springer, vol. 31(4), pages 729-751, September.

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    More about this item

    Keywords

    Financial Crisis Management&Restructuring; Economic Theory&Research; Currencies and Exchange Rates; Bankruptcy and Resolution of Financial Distress; Financial Intermediation;
    All these keywords.

    JEL classification:

    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
    • 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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