The ifo Institute for Economic Research has been conducting the ifo business survey since its foundation in 1949. To ensure stability of participation rates, regular sample recruitment is indispensable. Does the dispatch method matter for response rates of a recruiting campaign? To answer this...

FamData is a database covering family businesses and non-family businesses across various size classes and branches containing structural and financial information. The ifo Institute assembled a business panel with executives from almost 4,000 companies. In addition to the "hard" business data...

In the monthly ifo Business Survey around 9,000 German companies answer questions about their current business situation, expectations and plans for the near future as well as on other business variables. This paper provides an overview of all regular questions (monthly, quarterly, bi-annually,...

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...

After World War II, town twinning became popular, notably in Germany. This was mainly a reaction to the war experience, and it was aimed at creating renewed international understanding and co-operation between German cities and cities in other countries. The contacts created by town twinning...

We construct a unique data set to analyze whether or not a large temporary shock had an impact on German city growth and city size distribution. Following recent work by Davis and Weinstein (2001) on Japan, we take the strategic bombing of German cities during WWII as our example of such a...

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...