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This paper aims to shed light on the role of credit supply shocks in euro area countries during the recent pre-crisis, bust, and post-crisis periods. A time-varying parameter vector autoregression (TVP-VAR) with stochastic volatility à la Primiceri (2005) is estimated for each country, and the...
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We implement a two-step approach to construct a financing conditions index (FCI) for the euro area and its four larger member states (Germany, France, Italy and Spain). The method, which follows Hatzius et al. (2010), is based on factor analysis and enables to summarise information on financing...
Persistent link: https://www.econbiz.de/10011605689
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We implement a two-step approach to construct a financing conditions index (FCI) for the euro area and its four larger member states (Germany, France, Italy and Spain). The method, which follows Hatzius et al. (2010), is based on factor analysis and enables to summarise information on financing...
Persistent link: https://www.econbiz.de/10010753758
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We study how credit supply shocks in the US, the euro area and Japan are transmitted to other economies. We use the recently-developed GVAR approach to model financial variables jointly with macroeconomic variables in 33 countries for the period 1983-2009. We experiment with inter-country links...
Persistent link: https://www.econbiz.de/10010307706
This paper evaluates the performance of a variety of structural VAR models in estimating the impact of credit supply shocks. Using a Monte-Carlo experiment, we show that identification based on sign and quantity restrictions and via external instruments is effective in recovering the underlying...
Persistent link: https://www.econbiz.de/10011381010
This paper evaluates the performance of structural VAR models in estimating the impact of credit supply shocks. In a simple Monte-Carlo experiment, we generate data from a DSGE model that features bank lending and credit supply shocks and use SVARs to try and recover the impulse responses to...
Persistent link: https://www.econbiz.de/10010368177
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