Students’ evaluations of teacher performance (SETs) are increasingly used by universities and colleges for teaching improvement and decision making (e.g., promotion or tenure). However, SETs are highly controversial mainly due to two issues: (1) teachers value various aspects of excellent...

The paper contributes to the debate on how to measure regions'€™ innovation performance. On the basis of the concept of regional innovation efficiency, we propose a new measure that eases the issue of choosing between industry-specific or global measures. We argue for the use of a robust...

This paper uses a robust (order-m) DEA approach to evaluate the efficiency of Tour de France cycling teams. Since there are multiple ways this event can be successful for a cycling team, we take it that managers face strategic input decisions regarding team and rider characteristics....

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...

This study presents a Data Envelopment Analysis (DEA) model to evaluate the efficiency of the exchange of regional import and export goods in a railway supply chain network. Unlike previous railway supply chain efficiency studies, the exchange efficiency incorporates railway supply chain...

The paper contributes to the debate on how to measure regions' innovation performance. On the basis of the concept of regional innovation efficiency, we propose a new measure that eases the issue of choosing between industry-specific or global measures. We argue for the use of a robust...

Environmental factors add complexity to the comparison between specific activities or entire entities. Decision making units with an inferior performance are tempted to invoke that their organization is different from the others in the data set. By reinterpreting and extending the metafrontier...

We conducted a randomized controlled trial to examine the role of information provision on students’ preferences on higher education. The preferences were measured using a discrete choice experiment. The subjects comprised 2652 10 th grade low-income Colombian students, all of whom intended to...

School rankings based on value-added (VA) estimates are subject to prediction errors, since VA is defined as the difference between predicted and actual performance. We introduce a more flexible random forest (RF), rooted in the machine learning literature, to minimize prediction errors and to...

Targeted policy interventions are more effective than one-size-fits-all initiatives. This paper proposes the use of k-means cluster analysis to identify vulnerable groups with respect to financial literacy. Using a rich sample of 12 countries, we distinguish four groups with varying financial...