We analyse the evolution of the business cycle in the accession countries, after a careful examination of the seasonal properties of the available series and the required modification of the cycle dating procedures. We then focus on the degree of cyclical concordance within the group of...

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...

This paper analyses two features of concern to policy-makers in the countries of the prospective European Monetary Union: the solvency of their government’s finances; and the accuracy of fiscal forecasts. Extending the existing methodology of solvency tests, the paper finds that, with few...

Time series models are often adopted for forecasting because of their simplicity and good performance. The number of parameters in these models increases quickly with the number of variables modelled, so that usually only univariate or small-scale multivariate models are considered. Yet, data...

We analyse the relative performance of the IMF, OECD and EC in forecasting the government deficit, as a ratio to DGP, for the G7 countries. Interesting differences across countries emerge, sometimes supporting the hypothesis of an asymmetric loss function (i.e., of a preference for...

SFB 649 Discussion Paper 2006-065 Forecasting Euro-Area Variables with German Pre-EMU Data Ralf Brüggemann* Helmut Lütkepohl** Massimiliano Marcellino*** * Department of Economics, Humboldt-Universität zu Berlin, Germany ** Department of Economics,...