Recent empirical literature shows that key macro variables such as GDP and productivity display long memory dynamics. For DSGE models, we propose a �Generalized� Kalman Filter to deal effectively with this problem: our method connects to and innovates upon data-filtering techniques...

The volume collects the essays presented at the 15th Workshop on Public Finance organised by Banca d'Italia in Perugia from 4 to 6 April 2013. The workshop focused on the link between fiscal policy and macroeconomic imbalances and comprised four sessions. The first session concentrated on the...

Based on a structural VAR and a dynamic general equilibrium model, we provide evidence of the changes in the monetary transmission mechanism (MTM) in the European Monetary Union after the adoption of the common currency in 1999. The estimation of a Bayesian VAR over the periods before and after...

In this paper a dynamic factor model with mixed frequency is proposed (FaMIDAS), where the past observations of high frequency indicators are used following the MIDAS approach. This structure is able to represent with richer dynamics the information content of the economic indicators and...

The paper assesses the performance of medium-term forecasts of euro-area GDP and inflation obtained with a DSGE model and a BVARX model currently in use at the Bank of Italy. The performance is compared with that of simple univariate models and with the Eurosystem projections; the same real time...

The paper examines the evolution of consumer and business confidence indexes in France, Germany and Italy since the mid-eighties, using regressions of the indexes on a set of common macroeconomic variables for each country. Comparison of the results across agents (i.e. consumers and...

We present tools for real-time detection of turning points in the industrial production growth-cycle of the euro area and its four largest economies. In particular, we apply a multivariate hidden Markov model to national survey results � i.e. to the earliest information about current...

Assessing the global economic outlook is a fundamentally important task of international financial institutions, governments and central banks. In this paper we focus on the consequences of the rapid growth of emerging markets for monitoring and forecasting the global outlook. Our main results...

In this paper we explore the performance of bridge and factor models in forecasting quarterly aggregates in the very short-term subject to a pre-selection of monthly indicators. Starting from a large information set, we select a subset of targeted predictors using data reduction techniques as in...