We estimate a panel VAR model for the euro area to quantitatively asses the contribution of the TARGET2 system to the propagation of different types of structural economic shocks as well as to the historical evolution of aggregate economic activity in euro area member countries. Our results suggest that TARGET2 has significantly affected the transmission of capital ow shocks while leaving the macroeconomic responses to other aggregate shocks virtually unaltered. Furthermore, on basis of counterfactual analyses, we find that TARGET2 has contributed substantially to avoid deeper recessions in distressed periphery member countries like Spain, Italy, Ireland and Portugal, while to a smaller degree depressing aggregate economic activity in core member states, such as Germany, the Netherlands and Finland.

This paper uses panel vector autoregressive (VAR) models for euro area member countries to explore the widening of retail bank interest rate spreads that emerged in the course of the global financial crisis. We find that the interest rate pass-through was generally complete on impact before the outbreak of the financial crisis, but became significantly distorted in the period thereafter, which hampered the effectiveness of monetary policy. Empirical evidence suggests that the decrease in the interest rate pass-through can be related to a change in the structural parameters characterizing the economies and a substantial increase in the average size of structural shocks. DSGE model simulations show that an increase in the frictions that banks are subject to can explain the decrease in the retail bank interest rate pass-through.

This paper addresses the credit channel in Germany by using aggregate data. We present a stylized model of the banking firm in which banks decide on their loan supply in the light of expectations about the future course of monetary policy. Applying a VAR model, we estimate the response of bank loans to a monetary policy shock taking account of the reaction of the output level and the loan rate. We estimate our model to evaluate the response of bank loans by matching the theoretical impulse responses with the empirical impulse responses to a monetary policy shock. Evidence in support of the credit channel can be reported.