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,...

We estimate a modified version of the “Financial Business Cycles” model originally developed by Iacoviello (2015) in order to investigate the role played by financial factors in driving the business cycle in the euro area. In the model, financial shocks such as borrower defaults, collateral...

Building on the New Area Wide Model, we develop a 4-region macroeconomic model of the euro area and the world economy. The model (EAGLE, Euro Area and Global Economy model) is microfounded and designed for conducting quantitative policy analysis of macroeconomic interdependence across regions...

This paper empirically investigates the transmission of systemic risk across the Euro Area by employing a Global VAR model. We find that a union aggregate systemic risk shock results in a sharp decline in output, with two thirds of the response to be attributed to cross-country spillovers. The...

We study the business cycle properties of the four largest euro area economies in the wake of the recent recession episodes. The analysis is based on the factors estimated from a multi-country and multi-sector data-rich environment. We measure alikeness of business cycles by studying the...

In this paper, we highlight the role of global value chains in the synchronization of economic activity between countries in Central and Eastern Europe (CEE) and the euro area. We start off by demonstrating that the degree of synchronization of the business cycles of CEE countries and their main...

This paper shows that the EMU has not affected historical characteristics of member countries' business cycles and their cross-correlations. Member countries which had similar levels of GDP per-capita in the seventies have also experienced similar business cycles since then and no significant...

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...