IDEAS home Printed from https://ideas.repec.org/p/bon/boncrc/crctr224_2022_353.html
   My bibliography  Save this paper

The Empirical Performance of Financial Frictions since 2008

Author

Listed:
  • Gregor Boehl
  • Felix Strobel

Abstract

We use nonlinear Bayesian methods to evaluate the performance of financial frictions `a la Bernanke et al. (1999) during and after the Global Financial Crisis. We find that, despite the attention received in the literature, including these frictions in the canonical medium-scale DSGE model does not improve the model’s ability to explain macroeconomic dynamics in the US during the Great Recession. The reason is that in the estimated model with financial frictions, the firms’ leverage declines in response to the post-2008 collapse of investment, which in turn implies a narrowing of the credit spread. Hence, the estimated model predicts financial decelerator effects. Associated financial shocks play only a minor role for macroeconomic dynamics. Our estimates account for the binding effective lower bound on nominal interest rates, and confirm our findings independently for US and euro area data.

Suggested Citation

  • Gregor Boehl & Felix Strobel, 2022. "The Empirical Performance of Financial Frictions since 2008," CRC TR 224 Discussion Paper Series crctr224_2022_353, University of Bonn and University of Mannheim, Germany.
  • Handle: RePEc:bon:boncrc:crctr224_2022_353
    as

    Download full text from publisher

    File URL: https://www.crctr224.de/research/discussion-papers/archive/dp353
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Boehl, Gregor, 2022. "Efficient solution and computation of models with occasionally binding constraints," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    2. Böhl, Gregor, 2022. "Ensemble MCMC sampling for robust Bayesian inference," IMFS Working Paper Series 177, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).

    More about this item

    Keywords

    Financial Frictions; Great Recession; Business Cycles; Effective Lower Bound; Nonlinear Bayesian Estimation;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

    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:bon:boncrc:crctr224_2022_353. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: CRC Office (email available below). General contact details of provider: https://www.crctr224.de .

    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.