Bayesian Evaluation of DSGE Models with Financial Frictions

B-Tier
Journal: Journal of Money, Credit, and Banking
Year: 2013
Volume: 45
Issue: 8
Pages: 1451-1476

Authors (2)

MICHAŁ BRZOZA‐BRZEZINA (not in RePEc) MARCIN KOLASA (International Monetary Fund (I...)

Score contribution per author:

1.005 = (α=2.01 / 2 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

We evaluate two most popular approaches to implementing financial frictions into DSGE models: the Bernanke, Gertler, and Gilchrist () setup, where frictions affect the price of loans, and the Kiyotaki and Moore () 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, Gertler, and Gilchrist 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.

Technical Details

RePEc Handle
repec:wly:jmoncb:v:45:y:2013:i:8:p:1451-1476
Journal Field
Macro
Author Count
2
Added to Database
2026-01-24