A quasi-concave data envelopment analysis model with an application for bank branch performance evaluation

A quasi-concave data envelopment analysis model with an application for bank branch performance evaluation

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Article ID: iaor20021775
Country: Netherlands
Volume: 132
Issue: 2
Start Page Number: 296
End Page Number: 311
Publication Date: Jul 2001
Journal: European Journal of Operational Research
Authors: ,
Keywords: statistics: data envelopment analysis
Abstract:

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.

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