In this paper a novel survey dataset allows us to use a direct measure for credit constraints as well as a direct measure for the innovative activity of a firm to identify the effects of credit constraints on the innovation behaviour of firms. Furthermore, the design of the survey questions and...

What were the economic consequences of the 2007/08 oil price hike for Germany? In this paper we use a structural vector autoregressive model to study the effects of oil price changes driven by different supply and demand shocks on the German economy. We find that a higher oil bill always stifles...

What were the economic consequences of the 2007/08 oil price hike for Germany? In this paper we use a structural vector autoregressive model to study the effects of oil price changes driven by different supply and demand shocks on the German economy. We find that a higher oil bill always stifles...

In this paper a novel survey dataset allows us to use a direct measure for credit constraints as well as a direct measure for the innovative activity of a firm to identify the effects of credit constraints on the innovation behaviour of firms. Furthermore, the design of the survey questions and...

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...

Over the last decade, the topic of regional economic forecasting has become increasingly prevalent in academic literature. The most striking problem in this context is data availability at a regional level. However, considerable methodological improvements have been made to address this problem....

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...

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...

It is well-known that the distribution of citations to articles in a journal is skewed. We ask whether journal rankings based on the impact factor are robust with respect to this fact. We exclude the most cited paper, the top 5 and 10 cited papers for 100 economics journals and recalculate the...

We apply the test of Ijiri and Simon (1974) to a large data set of authors in economics. This test has been used by Tol (2009, 2013a) to identify a (within-author) Matthew effect for authors based on citations. We show that the test is quite sensitive to its underlying assumptions and identifies...