In this paper, we present a data envelopment analysis (DEA) model that replaces the standard DEA assumption of concavity for the production frontier with the less restrictive microeconomic assumption of quasi-concavity. The resulting quasi-concave model circumvents the potential specification error that comes with CCR and BCC models, if the production technology is non-concave, e.g. because of increasing marginal productivity. In addition, the model reduces the potential finite sample error associated with FDH models in small and medium-sized samples. A real-life application for the branch network of a large Dutch bank illustrates the operation of the quasi-concave model and its potential for improving performance evaluation.
- Bank branch evaluation
- Data envelopment analysis
ASJC Scopus subject areas
- Computer Science(all)
- Modelling and Simulation
- Management Science and Operations Research
- Information Systems and Management