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-steps ahead forecasts. In the empirical...

The global financial crisis (2008-09) led to a sharp contraction in both Euro Area (EA) and US real activity, and was followed by a long-lasting slump. However, the post-crisis adjustment in the EA and the US shows striking differences—in particular, the EA slump has been markedly more...

This paper explores the Balassa-Samuelson effect in a New-Keynesian DSGE model of a monetary union with traded and non-traded goods. Credible sets for theoretical impulse response functions show that a model with perfect intersectoral labour mobility is unable to reproduce an appreciation of the...

This paper assesses the role of financial variables in real economic fluctuations, in view of analysing the link between financial cycles and business cycles at the global level. A Global VAR modelling approach, which has been proved suitable for modelling country or regional linkages, is used...

Emerging market economies (also known as emerging economies, EEs) have become important on the world economic stage, where they now play a vital role in international trade and financial flows and account for a conspicuous fraction of the global economic dynamic. Despite the relatively tepid...

This paper explores and quantifies the role of endogenous firm entry in amplifying and propagating shocks to the economy. To this end, we estimate two DSGE models on US data with Bayesian methods: one model with endogenous firm entry and translog preferences and one model without. Both models...

This paper investigates how the ordering of variables affects properties of the time-varying covariance matrix in the Cholesky multivariate stochastic volatility model. It establishes that systematically different dynamic restrictions are imposed when the ratio of volatilities is time-varying....

In this paper we propose a new small area estimation methodology aimed at the estimation of Value Added, Labor Cost and related competitiveness indicators for subsets of the population of Italian small and medium sized manufacturing firms classified according to geographical region, industrial...

Time-varying parameter models with stochastic volatility are widely used to study macroeconomic and financial data. These models are almost exclusively estimated using Bayesian methods. A common practice is to focus on prior distributions that themselves depend on relatively few hyperparameters...

An estimated Markov-switching DSGE modelling framework that allows for parameter shifts across regimes is employed to test the hypothesis of regime-dependent credibility of Hong Kong s linked exchange rate system. The model distinguishes two regimes with respect to the time-series properties of...