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...

In socio-economic sciences the RePEc network (Research Papers in Economics) has become an essential source for the gathering and the spread of both existing and new economic research. Furthermore, it is currently the largest bibliometric database in economic sciences containing 33 different...

We construct a meta-ranking of 315 economics journals based on 38 different individual rankings. Our ranking incorporates both bibliometric measures from three different databases (Web of Knowledge, RePEc and Google Scholar) and previous rankings in the literature. Furthermore, we account for...

This articles investigates the recent trends in co-authorship in economics. Using data from more than 700.000 journal articles we show that the average number of authors per article has increased over the last years. This process is likely to be continued in the future. In a regression analysis...

We introduce archetypal analysis as a tool to describe and categorize scientists. This approach identifies typical characteristics of extreme ('archetypal') values in a multivariate data set. These positive or negative contextual attributes can be allocated to each scientists under...