As one of the main pillars of the ifo Institute's economic research, the ifo Business Survey has been conducted monthly since 1949, a year after the foundation of the ifo Institute. Since then, ifo has extended its survey activity by developing and administering additional business, expert, and...

As one of the main pillars of the ifo Institute's economic research, the ifo Business Survey has been conducted monthly since 1949, a year after the foundation of the ifo Institute. Since then, ifo has extended its survey activity by developing and administering additional business, expert, and...

Das vorliegende Handbuch soll einen Überblick über die Befragungen des ifo Instituts sowie die daraus resultierenden Konjunkturindikatoren und deren Verwendung für die Prognose volkswirtschaftlicher Kennzahlen liefern. Des Weiteren ist es als Interpretationshilfe für den Umgang mit den...

Das vorliegende Handbuch soll einen Überblick über die Befragungen des ifo Instituts sowie die daraus resultierenden Konjunkturindikatoren und deren Verwendung für die Prognose volkswirtschaftlicher Kennzahlen liefern. Des Weiteren ist es als Interpretationshilfe für den Umgang mit den...

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 evaluates the forecast performance of boosting, a variable selection device, and compares it with the forecast combination schemes and dynamic factor models presented in Stock and Watson (2006). Using the same data set and comparison methodology, we find that boosting is a serious...

In this paper, we assess the accuracy of macroeconomic forecasts at the regional level using a large data set at quarterly frequency. We forecast gross domestic product (GDP) for two German states (Free State of Saxony and Baden-Württemberg) and Eastern Germany. We overcome the problem of a...

In this paper, we ask whether it is possible to forecast gross-value added (GVA) and its sectoral sub-components at the regional level. We are probably the first who evaluate sectoral forecasts at the regional level using a huge data set at quarterly frequency to investigate this issue. With an...

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...

In this paper we assess the information content of seven widely cited early indicators for the euro area with respect to forecasting area-wide industrial production. To this end, we use various tests that are designed to compare competing forecast models. In addition to the standard...