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Bayesian Evaluation of DSGE Models with Financial Frictions
Author(s) -
Michał BrzozaBrzezina,
Marcin Kolasa
Publication year - 2012
Publication title -
ssrn electronic journal
Language(s) - English
Resource type - Journals
ISSN - 1556-5068
DOI - 10.2139/ssrn.2024974
Subject(s) - dynamic stochastic general equilibrium , bayesian probability , economics , econometrics , bayes estimator , finance , computer science , monetary policy , monetary economics , artificial intelligence
We evaluate two most popular approaches to implementing financial frictions into DSGE models: the Bernanke et al. (1999) setup, where financial frictions enter through the price of loans, and the Kiyotaki and Moore (1997) model, where they concern the quantity of loans. We take both models to the US data and check how well they fit it on several margins. Overall, comparing the models favors the framework of Bernanke et al. (1999). However, even this model is not able to make a clear improvement over the benchmark New Keynesian model, and the Kiyotaki and Moore (1997) underperforms it on several margins. Furthermore, none of the extensions explains the 2007-09 recession as significantly more “financial” than several previous ones.

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