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...

We analyse the determinants of unemployment persistence in four OECDcountries byestimating a structural Bayesian VAR with an informative priorbased on an insiders/outsiders model. We explicitly insert unemployment ben-efits and labour taxes so that our identification is not affected by the Faust...

We analyse the determinants of unemployment persistence in four OECD countries by estimating a structural Bayesian VAR with an informative prior based on an insiders/outsiders model. We explicitly insert unemployment benefits and labour taxes so that our identification is not affected by the...

In this paper we analyze the determinants of the high unemployment level in Italy and the source of its persistence, with a special focus on the role of labour taxes. We use as reference an insider-outsider model capable of generating hysteresis; within this framework we are able to evaluate the...

One of the most problematic aspects in the work of policy makers and practitioners is having efficient forecasting tools combining two seemingly incompatible features: ease of use and completeness of the information set underlying the forecasts. Econometric literature provides different answers...

This paper investigates the causes of unemployment persistence in Italy, using aggregate quarterly data. We use as reference an insider-outsider model capable of generating hysteresis. In the sample period being analysed, deep structural modifications have affected the Italian economy. For this...

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...

We develop a time-varying transition probabilities Markov Switching model in which inflation is characterised by two regimes (high and low inflation). Using Bayesian techniques, we apply the model to the euro area, Germany, the US, the UK and Canada for data from the 1960s up to the present. Our...

Bayesian inference in a time series model provides exact out-of-sample predictive distributions that fully and coherently incorporate parameter uncertainty. This study compares and evaluates Bayesian predictive distributions from alternative models, using as an illustration five alternative...

We estimate the approximate nonlinear solution of a small DSGE model using Bayesian methods. Our results, based on euro area data, suggest that this approch delivers sharper inference compared to the estimation of the linearised solution. The nonlinear model can also account for richer economic...