This paper focuses on the construction of a composite indicator for the knowledge based economy using imprecise data. Specifically, for some indicators we only have information on the bounds of the interval within which the true value is believed to lie. The proposed approach is based on a...

The need to adapt Data Envelopment Analysis (DEA) and other frontier models in the context of negative data has been a rather neglected issue in the literature. Silva Portela, Thanassoulis, and Simpson (2004) proposed a variation on the directional distance function, a very general distance...

There is a burgeoning literature using non-parametric frontier methods to measure mutual fund performance. These articles measure the relationship between the various characteristics (mainly return information and some costs of ownership) of these specialized financial products to establish a...

This paper proposes an adjusted version of the popular efficiency measurement technique Data Envelopment Analysis (DEA) that makes it possible (1) to evaluate the cost efficiency of municipalities in the collection and processing of multiple household waste fractions, (2) robustifying the cost...

This paper proposed an adjusted “shared-input” version of the popular efficiency measurement technique Data Envelopment Analysis (DEA) that enables evaluating municipality waste collection and processing performances in settings in which one input (waste costs) is shared among treatment...

This paper uses a robust (order-m) Data Envelopment Analysis approach to evaluate the efficiency of Tour de France cycling teams for the period 2007- 2011. Since there are multiple ways in which this event can be successful for a cycling team, we take it that managers face strategic input...

Students' evaluations of teacher performance (SETs) are increasingly used by universities. However, in their current format SET-scores are controversial mainly due to two issues: (1) questionnaire items are relegated to the status of being of equal importance, and (2) the feedback to the...

This paper presents a methodology to aggregate multidimensional research output. Using a tailored version of the non-parametric Data Envelopment Analysis model, we account for the large heterogeneity in research output and the individual researcher preferences by endogenously weighting the...