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Bayesian evaluation of DSGE models with financial frictions

Author

Listed:
  • Michal Brzoza-Brzezina

    (National Bank of Poland, Warsaw School of Economics)

  • Marcin Kolasa

    (National Bank of Poland, Warsaw School of Economics)

Abstract

We evaluate two most popular approaches to implementing financial frictions into DSGE models: the Bernanke et al. (1999) setup, where frictions affect the price of loans, and the Kiyotaki and Moore (1997) model, where they concern the quantity of loans. We take both models to the data and check how well they fit it on several margins. Overall, comparing the models favors the Bernanke et al. framework. However, even this model does not make a clear improvement over the New Keynesian benchmark in terms of marginal likelihood and similarity of impulse responses to those obtained from a VAR. These findings point at the need for further research to develop macrofinancial models that would better describe the business cycle dynamics.

Suggested Citation

  • Michal Brzoza-Brzezina & Marcin Kolasa, 2013. "Bayesian evaluation of DSGE models with financial frictions," Working Papers 71, Department of Applied Econometrics, Warsaw School of Economics.
  • Handle: RePEc:wse:wpaper:71
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    More about this item

    Keywords

    financial frictions; DSGE models; Bayesian analysis;
    All these keywords.

    JEL classification:

    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

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