This paper compares different ways to estimate the current state of the economy using factor models that can handle unbalanced datasets. Due to the different release lags of business cycle indicators, data unbalancedness often emerges at the end of multivariate samples, which is sometimes...

Modern trade theory emphasizes firm-level productivity differentials to explain the cross-border activities of non-financial firms. This study tests whether a productivity pecking order also determines international banking activities. Using a novel dataset that contains all German banks’...

This paper discusses a factor model for estimating monthly GDP using a large number of monthly and quarterly time series in real-time. To take into account the different periodicities of the data and missing observations at the end of the sample, the factors are estimated by applying an EM...

This paper provides new evidence on the foreign direct investment stocks of German firms. We use firm-level data for the years 1990-2000 to describe the regional and sectoral patterns of German FDI through gravity-type equations. We provide evidence on the patterns of FDI by sector, by size of...

This paper studies the sectoral and geographical dimensions of the response of bank lending to sectoral growth. We use several bank-level datasets provided by the Deutsche Bundesbank for the 1996-2002 period. Our results show that bank heterogeneity affects how lending responds to domestic...

This paper discusses the forecasting performance of alternative factor models based on a large panel of quarterly time series for the german economy. One model extracts factors by static principals components analysis, the other is based on dynamic principal components obtained using frequency...