Verfügbarkeit: Financial Frictions in Data

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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1. Verfasser:	Taheri Sanjani, Marzie (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Washington, D.C International Monetary Fund 2014
Schriftenreihe:	IMF Working Papers: Working Paper No. 14 / 238
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Zusammenfassung:	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
Beschreibung:	1 Online-Ressource (33 p)
ISBN:	1484336550 9781484336557

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spelling	Taheri Sanjani, Marzie Verfasser aut Financial Frictions in Data Evidence and Impact Taheri Sanjani, Marzie Washington, D.C International Monetary Fund 2014 1 Online-Ressource (33 p) txt rdacontent c rdamedia cr rdacarrier IMF Working Papers: Working Paper No. 14 / 238 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 Online-Ausg http://elibrary.imf.org/view/IMF001/22224-9781484336557/22224-9781484336557/22224-9781484336557.xml Verlag URL des Erstveröffentlichers Volltext
spellingShingle	Taheri Sanjani, Marzie Financial Frictions in Data Evidence and Impact
title	Financial Frictions in Data Evidence and Impact
title_auth	Financial Frictions in Data Evidence and Impact
title_exact_search	Financial Frictions in Data Evidence and Impact
title_exact_search_txtP	Financial Frictions in Data Evidence and Impact
title_full	Financial Frictions in Data Evidence and Impact Taheri Sanjani, Marzie
title_fullStr	Financial Frictions in Data Evidence and Impact Taheri Sanjani, Marzie
title_full_unstemmed	Financial Frictions in Data Evidence and Impact Taheri Sanjani, Marzie
title_short	Financial Frictions in Data
title_sort	financial frictions in data evidence and impact
title_sub	Evidence and Impact
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