Financial Frictions in Data : Evidence and Impact /

This paper investigates financial frictions in US postwar data to understand the interaction between the real business cycle and the credit market. A Bayesian estimation technique is used to estimate a large Vector Autoregression and New Keynesian models demonstrating how financial shocks can have a...

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Bibliographic Details
Main Author: Taheri Sanjani, Marzie
Format: Journal
Language:English
Published: Washington, D.C. : International Monetary Fund, 2014.
Series:IMF Working Papers; Working Paper ; No. 2014/238
Online Access:Full text available on IMF
Description
Summary:This paper investigates financial frictions in US postwar data to understand the interaction between the real business cycle and the credit market. A Bayesian estimation technique is used to estimate a large Vector Autoregression and New Keynesian models demonstrating how financial shocks can have a large and sluggish impact on the economy. I identify the default risk and the maturity mismatch channels of monetary policy transmission; I further employ a generalized-IRF to establish countercyclicality of risk spreads; and I show that the maturity mismatch shocks produce a stronger impact than the default risk shocks.
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Physical Description:1 online resource (33 pages)
Format:Mode of access: Internet
ISSN:1018-5941
Access:Electronic access restricted to authorized BRAC University faculty, staff and students