This paper deals with the estimation of employment equations for Germany, which are to be used for forecasting and …, however, is affected by German reunification and relative factor prices no longer play a significant role. The forecasting …

This paper investigates the role of mismatch between job seekers and job openings for the forecasting performance of a …-of-sample tests that account for the nested model environment, we find that forecasting models enhanced by the mismatch indicator …

period 1970Q1 - 2003Q4 for ten macroeconomic variables. The years 2000 - 2003 are used as forecasting period. A range of … different univariate forecasting methods is applied. Some of them are based on linear autoregressive models and we also use some … forecasting variables which need considerable adjustments in their levels when joining German and EMU data. These results suggest …

There has been increased interest in the use of "big data" when it comes to forecasting macroeconomic time series such … as private consumption or unemployment. However, applications on forecasting GDP are rather rare. In this paper we … incorporate Google search data into a Bridge Equation Model, a version of which usually belongs to the suite of forecasting models …

between migration and fertility into a forecasting model. Next to the detailed and stochastic quantification of age …

We present a comprehensive disaggregate approach for short-term forecasting economic activity in Germany by explicitly …

forecasting ability of the spread. Klassifikation: …

In this study, we analyzed the forecasting and nowcasting performance of a generalized regression neural network (GRNN …