a b s t r a c tThis paper employs a panel vector autoregressive model for the member countries of the Euro Area to explore the role of banks during the slump of the real economy that followed the financial crisis. In particular, we seek to quantify the macroeconomic effects of adverse loan supply shocks, which are identified using sign restrictions. We find that loan supply shocks significantly contributed to the evolution of the loan volume and real GDP growth in all member countries during the financial crisis. However, concerning both, the timing and the magnitude of the shocks our results also indicate that the Euro Area was characterized by a considerable degree of cross-country heterogeneity.

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. The Interest Rate Pass-Through in the Euro Area During the Global Financial Crisis Abstract This paper uses panel vector autoregressive models and simulations of an estimated DSGE model to explore the reaction of Euro-area banks to the global financial crisis. We focus on their interest-rate setting behavior in response to standard macroeconomic shocks. Our main empirical finding is that the pass-through from changes in the money market rate to retail bank rates became significantly less complete during the crisis. Model simulations show that this result can be well explained by a significant increase in the frictions that the banks' business is subject to. Terms of use: Documents in EconStor mayJEL-Code: E400, E430, E520.

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.