Inflation has been persistently weak in the euro area despite the economic recovery since 2013. We investigate the sources behind this protracted low inflation by building a time-varying parameter model that jointly explains the dynamics of inflation and inflation expectations from the ECB's...

This paper investigates the role of fiscal policies over the aggregate EMU business cycle. Previous studies, based on the assumption of non-separability between public and private consumption, obtain a large public consumption multiplier, a small fraction of non-Ricardian households and,...

This paper develops a two-block Structural Vector Autoregression (SVAR) to estimate the spillover of external shocks to the Maltese economy. The model focuses on five broad macroeconomic shocks hitting the euro area; an aggregate demand shock, two aggregate supply shocks which respectively proxy...

We examine bank capital shocks using a recent new approach based on non-normal errors in vector autoregressive models. Using a sample of 14 European economies over January 2004 through March 2018 we identify two distinct classes of bank capital shocks, capital tightening shocks, and bank...

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...

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...

We introduce a Bayesian Mixed-Frequency VAR model for the aggregate euro area labour market that features a structural identification via sign restrictions. The purpose of this paper is twofold: we aim at (i) providing reliable and timely forecasts of key labour market variables and (ii)...

The paper considers a Bayesian approach to the cointegrated VAR model with a uniform prior on the cointegration space. Building on earlier work by Villani (2005b), where the posterior probability of the cointegration rank can be calculated conditional on the lag order, the current paper also...

We contribute to the empirical literature on the impact of shocks to bank capital in the euro area by estimating a Bayesian VAR model identified with sign restrictions. The variables included in the VAR are those typically used in monetary policy analysis, extended to include aggregate banking...

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...