We forecast recession probabilities for the United States, Germany and Japan. The predictions are based on the widely-used probit approach, but the dynamics of regressors are endogenized using a VAR. The combined model is called a ‘ProbVAR’. At any point in time, the ProbVAR allows to...

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...

This paper examines the feasibility of implementing Linear Quadratic Gaussian (LQG) Control in structural cointegrated VAR models and sheds some light on the two major problems generated by such implementation. The first aspect to be taken into account is the effect of the presence of unit roots...

There has been much discussion of the differences in macroeconomic performance and prospects between the US, Japan and the euro area. Using Markov-switching techniques, in this paper we identify and compare specifically their major business-cycle features and examine the case for a common...

This monthly monetary model for the euro area is gradually constructed from its two constituting components: a money demand and a loan demand model which both include the relation between the respective retail bank rates and the short-term market interest rate. Eventually, the encompassing...

Based on a literature review, this paper investigates the reasons why broad money demand has usually been found to be more stable in the euro area than in other large economies. The paper concludes that there are three main explanations for this fact. First, in some countries outside the euro...

This paper re-examines two data issues concerning euro area money demand: aggregation of national data and measurement of the own rate.The main purpose is to study if euro area money demand is subject to parameter non-constancies using formal tests rather than informal diagnostics. As a...

Existing methods for data interpolation or backdating are either univariate or based on a very limited number of series, due to data and computing constraints that were binding until the recent past. Nowadays large datasets are readily available, and models with hundreds of parameters are fastly...