This paper deals with the estimation of employment equations for Germany, which are to be used for forecasting and simulation purposes. The authors estimate both single and system error correction equations for German working hours using quarterly raw data covering the period 1980:1-2004:2....

This paper deals with the estimation of employment equations for Germany, which are to be used for forecasting and simulation purposes. The authors estimate both single and system error correction equations for German working hours using quarterly raw data covering the period 1980:1-2004:2....

This paper considers factor forecasting with national versus factor forecasting with international data. We forecast German GDP based on a large set of about 500 time series, consisting of German data as well as data from Euro-area and G7 countries. For factor estimation, we consider standard...

Das MOGBOT ist ein ökonometrisches Modell für die Zweige der deutschen Volkswirtschaft nach der Gliederung A*10 der Klassifikation WZ 2008 (ergänzt durch das Verarbeitende Gewerbe, Abschnitt C), die den Daten der Volkswirtschaftlichen Gesamtrechnungen nach der Generalrevision 2011 zugrunde...

Die im Koalitionsvertrag geplanten Maßnahmen werden nicht nur direkte Effekte haben, sondern über verschiedene Kanäle auch indirekt wirken. Der Autor simuliert mit Hilfe zweier Makromodelle, wie sich Arbeitslosigkeit, Staatsbudget, Wachstum und Preisindex entwickeln werden. Insgesamt würden...

This study introduces a monthly coincident indicator for consumption in Germany based on Google Trends data on web search activity. In real-time nowcasting experiments the indicator outperforms common survey-based indicators in predicting consumption. Unlike those indicators, it provides...

This paper investigates the role of mismatch between job seekers and job openings for the forecasting performance of a labor market matching function. In theory, higher mismatch lowers matching efficiency which increases the risk that the vacancies cannot be filled within the usual period of...

The use of large datasets for macroeconomic forecasting has received a great deal of interest recently. Boosting is one possible method of using high-dimensional data for this purpose. It is a stage-wise additive modelling procedure, which, in a linear specification, becomes a variable selection...

The German Energiewende envisages achieving a climate-neutral building stock in 2050 by means of two major pillars of regulation: First, residential buildings should consume 80% less primary energy and, second, the remaining energy demand should be covered primarily with renewables. This paper...

Information about special events can improve economic forecasts substantially. However, due to the lack of timely quantitative data about these events, it has been difficult for professional forecasters to utilise such information in their forecasts. This paper investigates whether Internet...