This paper explores the role that the imperfect knowledge of the structure of the economy plays in the uncertainty surrounding the effects of rule-based monetary policy on unemployment dynamics in the euro area and the US. We employ a Bayesian model averaging procedure on a wide range of models...

We document that there are strong complementarities between monetary policy and macroprudential policy in shaping the evolution of bank credit. We use a unique loanlevel dataset comprising multiple credit registers from several European countries and different types of loans, including corporate...

This paper provides new empirical evidence that bears on the efficacy of unconventional monetary policies when the main policy rate is negative. When a negative interest rate policy (NIRP) is deployed in concert with rate forward guidance (FG) and quantitative easing (QE), the identification of...

This study analyses the policy measures taken in the euro area in response to the outbreak and the escalating diffusion of new coronavirus (COVID-19) pandemic. We focus on monetary, microprudential and macroprudential policies designed specifically to support bank lending conditions. For...

Exploiting confidential data from the euro area, we show that sound banks can pass negative rates on to their corporate depositors without experiencing a contraction in funding. These pass-through effects become stronger as policy rates move deeper into negative territory. Banks offering...

This paper re-examines two data issues concerning euro area money demand: aggregation of national data and measurement of the own rate.The main purpose is to study if euro area money demand is subject to parameter non-constancies using formal tests rather than informal diagnostics. As a...

In this paper, we outline a version of the New Area-Wide Model (NAWM) of the euro area designed for use in the (Broad) Macroeconomic Projection Exercises regularly undertaken by ECB/Eurosystem staff. We present estimation results for the NAWM that are obtained by employing Bayesian inference...

In this paper we review the methodology of forecasting with log-linearised DSGE models using Bayesian methods. We focus on the estimation of their predictive distributions, with special attention being paid to the mean and the covariance matrix of h-step ahead forecasts. In the empirical...