We examine the global dimension of inflation in 24 OECD countries between 1980 and 2007 in a traditional Phillips curve framework. We decompose output gaps and changes in unit labor costs into common (or global) and idiosyncratic components using a factor analysis and introduce these components...

We examine the global dimension of inflation in 24 OECD countries between 1980 and 2007 in a traditional Phillips curve framework. We decompose output gaps and changes in unit labor costs into common (or global) and idiosyncratic components using a factor analysis and introduce these components...

Das DIW Berlin prognostiziert ein Wirtschaftswachstum von 1,9 Prozent im Jahresdurchschnitt 2010 und 1,7 Prozent im Jahresdurchschnitt 2011. Die Inflation bleibt mit knapp 1,5 Prozent im Prognosezeitraum moderat. Nach einem schwachen ersten Quartal, in dem die konjunkturelle Entwicklung durch...

A high degree of cyclical synchronization between the new EU member states (NMS) from Central and Eastern Europe and the euro area is generally seen as a prerequisite for successful EMU enlargement. We establish stylized facts on economic linkages between NMS and the euro area using dynamic...

This paper investigates the transmission of US macroeconomic shocks to Germany by employing a large-dimensional structural dynamic factor model. This framework allows us to investigate many transmission channels simultaneously, including 'new' channels like stock markets, foreign direct...

Factor models can cope with many variables without running into scarce degrees of freedom problems often faced in a regression-based analysis. In this article we review recent work on dynamic factor models that have become popular in macroeconomic policy analysis and forecasting. By means of an...

We look at how large international datasets can improve forecasts of national activity. We use the case of New Zealand, an archetypal small open economy. We apply "data-rich" factor and shrinkage methods to tackle the problem of efficiently handling hundreds of predictor data series from many...