The Ifo Business Climate is the most important indicator for the business cycle in Germany. In 1993 the connection between the two components of the business climate - business situation and business expectations - was graphically portrayed by Ifo in a 4-quadrant scheme: the Ifo Business Cycle...

Business cycle indicators are used to assess the economic situation of countries or regions. They are closely watched by the public, but are not easy to interpret. Does a current movement of the indicator signal a turning point or not? With the help of Markov Switching Models movements of...

Der Beitrag stellt die Außenhandelsbeziehungen zwischen den 15 alten und den acht neuen mittel- und osteuropäischen Mitgliedern der Europäischen Union in den Mittelpunkt. Werden sie durch die EU-Osterweiterung zusätzliche Impulse erhalten? Diese Frage wird im Folgenden mit Hilfe des...

In this paper we present the Ifo Investment Database, which provides annual investment data for 12 investment assets in 50 German industries from 1991 onward. The data is consistent with national accounts statistics provided by the German Federal Statistical Office and is based on investments in...

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...

This paper applies component-wise boosting to the topic of regional economic forecasting. Component-wise boosting is a pre-selection algorithm of indicators for forecasting. By using unique quarterly real gross domestic product data for two German states (the Free State of Saxony and...

Business climate indicators are used to receive early signals for turning points in the general business cycle. Therefore methods for the detection of turning points in time series are required. Estimations of slopes of a smooth component in the data can be calculated with local polynomial...

This paper looks into the 'fine print' of boosting for economic forecasting. By using German industrial production for the period from 1996 to 2014 and a data set consisting of 175 monthly indicators, we evaluate which indicators get selected by the boosting algorithm over time and four...