This paper sets out a comprehensive framework to identify regional business cycles within Spain and analyses their stylised features and the degree of synchronisation both within them and between them and the Spanish economy. We show that the regional cycles are quite heterogeneous although they...

French economic activity is significantly affected by economic activity in the rest of the world. In recent years, the export performance of France relative to its own past and relative to a major trading partner, Germany, deteriorated. That deterioration seems related to the trend growth of...

This paper considers methods for forecasting macroeconomic time series in a framework where the number of predictors, N, is too large to apply traditional regression models but not sufficiently large to resort to statistical inference based on double asymptotics. Our interest is motivated by a...

This paper employs concepts from information theory for choosing the dimension of a data set. We propose a relative information measure connected to Kullback–Leibler numbers. By ordering the series of the data set according to the measure, we are able to obtain a subset of a data set that is...

This paper proposes a new forecasting method that exploits information from a largepanel of time series. The method is based on the generalized dynamic factor model proposedin Forni, Hallin, Lippi, and Reichlin (2000), and takes advantage of the information onthe dynamic covariance structure of...

In this paper we examine whether data from business tendency surveys are useful for forecasting the macro economy in the short run. Our analyses primarily concern the growth rates of real GDP but we also evaluate forecasts of other variables such as unemployment, price and wage inflation,...