We study the identification of policy shocks in Bayesian proxy VARs for the case that the instrument consists of sparse qualitative observations indicating the signs of certain shocks. We propose two identification schemes, i.e. linear discriminant analysis and a non-parametric sign concordance...

Since its creation the euro area suffered from imbalances between its core and peripheral members. This paper checks whether macroprudential policy tools - applied in a countercyclical fashion as known from the DSGE literature to the peripheral countries - could contribute to providing more...

We analyse the interaction between monetary and macroprudential policies in the euro area by means of a two-country DSGE model with financial frictions and cross-border spillover effects. We calibrate the model for the four largest euro area countries (i.e. Germany, France, Italy, and Spain),...

Should monetary policy lean against financial stability risks? This has been a subject of fierce debate over the last decades. We contribute to the debate about “leaning against the wind” (LAW) along three lines. First, we evaluate the cost and benefits of LAW using the Svensson (2017)...

The Global Financial Crisis fostered the design and adoption of macroprudential policies throughout the world. This raises important questions for monetary policy. What, if any, is the relationship between monetary and macroprudential policies? In particular, how does the effectiveness of...

We analyze the impact on lending standards of short-term interest rates and macro-prudential policy before the 2008 crisis, and of the provision of central bank liquidity during the crisis. Exploiting the euro area institutional setting for monetary and prudential policy and using the Bank...

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

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...