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...

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...

This paper assesses the performance of monetary indicators as well as of a large range of economic and financial indicators in predicting euro area HICP inflation out-of-sample over the period first quarter 1999 till third quarter 2006 considering standard bivariate forecasting models, factor...

This paper provides evidence on the reliability of euro area real-time output gap estimates. A genuine real-time data set for the euro area is used, including vintages of several sets of euro area output gap estimates available from 1999 to 2006. It turns out that real-time estimates of the...

In monetary policy strategies geared towards maintaining price stability conditional and unconditional forecasts of inflation and output play an important role. In this paper we illustrate how modern sticky-price dynamic stochastic general equilibrium (DSGE) models, estimated using Bayesian...

This study develops a new monthly euro Area‐wide Leading Indicator (ALI) for the euro area business cycle. It derives the composite ALI by applying a deviation cycle methodology with a one‐sided band pass filter and choosing nine leading series. Our main findings are that i) the applied...

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...

We propose a method to incorporate information from Dynamic Stochastic General Equilibrium (DSGE) models into Dynamic Factor Analysis. The method combines a procedure previously applied for Bayesian Vector Autoregressions and a Gibbs Sampling approach for Dynamic Factor Models. The factors in...

We discuss Bayesian inferential procedures within the family of instrumental variables regression models and focus on two issues: existence conditions for posterior moments of the parameters of interest under a flat prior and the potential of Direct Monte Carlo (DMC) approaches for efficient...