Financial Frictions in Data [electronic resource] : Evidence and Impact / Marzie Taheri Sanjani.

By: Taheri Sanjani, MarzieMaterial type: TextTextSeries: IMF Working Papers; Working Paper ; No. 14/238Publication details: Washington, D.C. : International Monetary Fund, 2014Description: 1 online resource (33 p.)ISBN: 1484336550 :ISSN: 1018-5941Subject(s): Bayesian Analysis | Bayesian Var | Credit Spread | Default Risk | Default | DSGE | United StatesAdditional physical formats: Print Version:: Financial Frictions in Data : Evidence and ImpactOnline resources: IMF e-Library | IMF Book Store Abstract: 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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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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