The ifo Business Climate Index is the most important early indicator for developments in the German economy. It aggregates thousands of responses from the companies surveyed in the ifo business surveys on a monthly basis. This article presents the new ifo Business Climate for Germany, which will...

Based on a description of the German system of taxes and transfers, the incentives to work are analyzed for several groups of the labor force. The effects of the ?Hartz IV? reform (effective from 2005 onwards) on the incentives receive particular attention. It turns out that the marginal...

Different studies provide surprisingly a large variety of controversial conclusions about the forecasting power of an indicator, even when it is supposed to forecast the same time series. In this study we aim to provide a thorough overview of linear forecasting techniques and draw conclusions...

The Ifo Institute for Economic Research has been conducting regular business surveys since its foundation in 1949. The most well-known of Ifo's surveys is the Ifo Business Survey (ifo Konjunkturtest). The micro data of the Ifo Business Survey are accessible to external researchers on-site at Ifo...

Does time-varying business volatility affect the price setting of firms and thus the transmission of monetary policy into the real economy? To address this question, we estimate from the firm-level micro data of the German IFO Business Climate Survey the impact of idiosyncratic volatility on the...

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...

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...