An ongoing debate in the literature on efficiency of higher education institutions concerns the indicator for research output in the empirical analysis. While several studies chose to use the number of publications, others rely on the overall amount of research grants. The present study...

In research into higher education, the evaluation of completion and dropout rates has generated a steady stream of interest for decades. While most studies only calculate quotes using student and graduate numbers for both phenomena, we propose to also consider the budget available to...

One of the core indicators in the field of scientometrics is the number of papers published by a unit within a given period. However, such indicators can only be assessed properly by considering the unit’s available resources. When evaluating the efficiency of institutions worldwide, the...

In broad parts of the scientific community the position in publication performance rankings, based on journal quality ratings is seen as highly reputational for the scientist. This contribution provides evidence that, at least in economics, such publication performance measures can not always be...

In broad parts of the scientific community the position in publication performance rankings, based on journal quality ratings is seen as highly reputational for the scientist. This contribution provides evidence that, at least in economics, such publication performance measures can not always be...

While output and impact assessments were initially at the forefront of institutional research evaluations, efficiency measurements have become popular in recent years. Research efficiency is measured by indicators that relate research output to input. The additional consideration of research...

One of the core indicators in the field of scientometrics is the number of papers published by a unit within a given period. However, such indicators can only be assessed properly by considering the unit's available resources. When evaluating the efficiency of institutions worldwide, the problem...

This paper looks into the 'fine print' of boosting for economic forecasting. By using German industrial production for the period from 1996 to 2014 and a data set consisting of 175 monthly indicators, we evaluate which indicators get selected by the boosting algorithm over time and four...