We study the forecasting performance of three alternative large scale approaches using a dataset for Germany that consists of 123 variables in quarterly frequency. These three approaches handle the dimensionality problem evoked by such a large dataset by aggregating information, yet on different...

We study the forecasting performance of three alternative large scale approaches for German key macroeconomic variables using a dataset that consists of 123 variables in quarterly frequency. These three approaches handle the dimensionality problem evoked by such a large dataset by aggregating...

A regime shift towards increased inflation expectations is credited with jumpstarting the recovery from the Great Depression in the United States. Germany experienced a recovery as fast and strong in the 1930s. What role did inflation expectations play at the start of this remarkable economic...

Using quarterly data for the Federal Republic of Germany, we generate four-quarter-ahead forecasts for real GDP growth. Throughout the seventies and eighties, real M1 is still the best predictor. It clearly outperforms interest rate-based forecasts, and within this group short-run interest rates...

Recent theoretical advances in consumption theory suggest that there may exist predictable consumption surges which, if not taken sufficiently into account in forecasting, may lead to predictable forecast errors. We use this insight to identify economic variables that might help improve the...

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 discusses methods to quantify risk and uncertainty in macroeconomic forecasts. Both, parametric and non-parametric procedures are developed. The former are based on a class of asymmetrically weighted normal distributions whereas the latter employ asymmetric bootstrap simulations. Both...

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...