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...

Bayesian dynamic stochastic general equilibrium (DSGE) models combine microeconomic behavioural foundations with a full-system Bayesian likelihood estimation approach using key macro-economic variables. Because of the usefulness of this class of models for addressing questions regarding the...

The predictive likelihood is of particular relevance in a Bayesian setting when the purpose is to rank models in a forecast comparison exercise. This paper discusses how the predictive likelihood can be estimated for any subset of the observable variables in linear Gaussian state-space models...

We introduce a specification of habit formation featuring non-separability between consumption and leisure into an otherwise standard New Keynesian model. The model can be estimated with standard Bayesian techniques and the bond pricing implications are evaluated using higher-order...

This paper attempts to gauge the effects of various fiscal and monetary policy rules on macroeconomic outcomes in the euro area. It consists of two major parts – a historical assessment and an assessment based on an extended scenario until 2030 – and it builds on the ECB-BASE –a...