In this paper we address the question on whether EMU has amplified or dampened intra euro area divergencies, by looking at a time-varying VAR model of Italy’s relative performance compared with the rest of the euro area, spanning from 1976 to 2009. Our main result is that EMU does not appear...

This paper develops a dynamic stochastic general equilibrium model with nominal rigidities, capital accumulation and finite lifetimes. The framework exhibits intergenerational wealth effects and is intended to investigate the macroeconomic implications of fiscal policy, which is specified by...

In this paper, we discuss the consequences of taking inot account the variations of the natural real interest rate (rt*) in simple monetary policy rules. We also provide one possible model-based analysis of the level of rt* that has prevailed in the euro area since the early 1970s, and present...

This paper presents a two period overlapping generations model with endogenous growth in the presence of a public sector with objectives of convergence for public debt and primary balance to GDP ratios. In order to ensure the existence of converging paths towards the target values of fiscal...

This paper presents a survey of methods for assessing fiscal soundness, i.e. the capability of governments to honour their obligations in the short run and in the long run. The need for a comprehensive monitoring of fiscal soundness derives from the risks to economic stability that arise from...

JEL Classification: E10, E24, J64

We estimate the approximate nonlinear solution of a small DSGE model on euro area data, using the conditional particle filter to compute the model likelihood. Our results are consistent with previous findings, based on simulated data, suggesting that this approach delivers sharper inference...

This paper develops a multi-way analysis of variance for non-Gaussian multivariate distributions and provides a practical simulation algorithm to estimate the corresponding components of variance. It specifically addresses variance in Bayesian predictive distributions, showing that it may be...

A prediction model is any statement of a probability distribution for an outcome not yet observed. This study considers the properties of weighted linear combinations of n prediction models, or linear pools, evaluated using the conventional log predictive scoring rule. The log score is a concave...

With the aim of constructing predictive distributions for daily returns, we introduce a new Markov normal mixture model in which the components are themselves normal mixtures. We derive the restrictions on the autocovariances and linear representation of integer powers of the time series in...