German unifikation hit the West German economy in a prosperous and appeared as a huge demand shock at least for the first few quarters. This combination resulted in a major increase of imports from the main trading partners of West Germany, which may have helped to cushion recessionary trends...

In this paper, a set of neural network (NN) models is developed to compute short-term forecasts of regional employment patterns in Germany. NNs are modern statistical tools based on learning algorithms that are able to process large amounts of data. NNs are enjoying increasing interest in...

German unification hit the West German economy in a prosperous and appeared as a huge demand shock at least for the first few quarters. This combination resulted in a major increase of imports from the main trading partners of West Germany, which may have helped to cushion recessionary trends...

The accuracy of macroeconomic forecast depends on various factors, most importantly the mix of analytical methods used by the individual forecasters, the way that their personal experience is shaping their identification strategies, but also their efficiency in translating new information into...

The results in this paper show that current European benchmark yields can be explained, with a high degree of accuracy, by using an affine term structure (ATS) model with the following four state variables: (i) the EU unemployment rate, (ii) the EU production price index, (iii) the ECB monetary...

This analysis investigates the predictive power of the most important leading indicators for the German economy, which are provided by the ifo Institute and IHS Markit. We conduct an out-of-sample, real-time forecast experiment for growth of gross domestic product and growth of gross value added...

In this paper, we discuss the relationship between the current account rebalancing in the Eurozone, income distribution and wage policies with a focus on the main surplus economy, Germany. We will illustrate how and to which extent German wage policies could be able to contribute to a more...

In this paper, a set of neural network (NN) models is developed to compute short-term forecasts of regional employment patterns in Germany. NNs are modern statistical tools based on learning algorithms that are able to process large amounts of data. NNs are enjoying increasing interest in...