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Shadow Banking and the Great Recession: Evidence from an Estimated DSGE Model

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  • Fève, Patrick
  • Moura, Alban
  • Pierrard, Olivier

Abstract

We argue that shocks to credit supply by shadow and retail banks were key to understanding the behavior of the US economy during the Great Recession and the Slow Recovery. We base this result on an estimated DSGE model featuring a rich representation of credit flows. Our model selects the two banking shocks as the most important drivers of the crisis because they account simultaneously for the fall in real activity, the decline in credit intermediation, and the rise in lending-borrowing spreads. On the other hand, in contrast with the existing literature,our results assign only a moderate role to productivity and investment efficiency shocks.

Suggested Citation

  • Fève, Patrick & Moura, Alban & Pierrard, Olivier, 2019. "Shadow Banking and the Great Recession: Evidence from an Estimated DSGE Model," TSE Working Papers 19-996, Toulouse School of Economics (TSE).
    • Handle: RePEc:tse:wpaper:122855
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    Cited by:

    1. Fève, Patrick & Moura, Alban & Pierrard, Olivier, 2022. "The fall in shadow banking and the slow U.S. recovery," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    2. Gebauer, Stefan & Mazelis, Falk, 2023. "Macroprudential regulation and leakage to the shadow banking sector," European Economic Review, Elsevier, vol. 154(C).
    3. Hodula, Martin & Libich, Jan, 2023. "Has monetary policy fueled the rise in shadow banking?," Economic Modelling, Elsevier, vol. 123(C).
    4. Lei, Ningze & Huang, Liqiang, 2023. "Corporate financing from shadow banking and bond credit spreads," Finance Research Letters, Elsevier, vol. 58(PB).
    5. Philipp Kirchner, 2020. "On shadow banking and fiÂ…nancial frictions in DSGE modeling," MAGKS Papers on Economics 202019, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    6. Kirchner Philipp, 2020. "On Shadow Banking and Financial Frictions in DSGE Modeling," Review of Economics, De Gruyter, vol. 71(2), pages 101-133, August.

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    More about this item

    Keywords

    Shadow Banking; Great Recession; Slow Recovery; estimated DSGE models.;
    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
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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