This paper describes recent work to strengthen nowcasting capacity at the IMF’s European department. It motivates and compiles datasets of standard and nontraditional variables, such as Google search and air quality. It applies standard dynamic factor models (DFMs) and several machine learning...

This article presents futures oriented analyses of 3D printing, which are based on technology foresight study performed in Finland in 2013. The methodological framework of the Finnish technology foresight study is shortly introduced and explained in this article. The analysis reflects current...

Societies and economies are experiencing deep and intertwined structural changes that may unsettle the perceptions European citizens have of their economic and employment security. Such labour-market perceptions are likely in turn to alter people's political positions. For instance, those...

The first official data releases of quarterly real GDP for the euro area are published about eight weeks after the end of the reference quarters. Meanwhile, ongoing economic developments must be assessed from various, more readily available, monthly indicators. We examine in the context of...

Monitoring and forecasting price developments in the euro area is essential in the light of the second pillar of the ECBu0092s monetary policy strategy. This study analyses whether the forecasting accuracy of forecasting aggregate euro area inflation can be improved by aggregating forecasts of...

This paper studies the informational content of the slope of the yield curve as a predictor of recessions in the euro area. In particular, the historical predictive power of ten yield spreads, for different segments of the yield curve, is tested using a probit model. The yield spread between the...

We analyse the performance of budgetary and growth forecasts of all stability and convergence programmes submitted by EU member states over the last decade. Differences emerge for the bias in budgetary projections across countries. As a second step we explore whether economic, political and...

In this paper we adopt a principal components analysis (PCA) to reduce the dimensionality of the term structure and employ autoregressive models (AR) to forecast principal components which, in turn, are used to forecast swap rates. Arguing in favor of structural variation, we propose data...