Evaluation of rejected cases in an acceptance system with data envelopment analysis and goal programming

C F Leon () and F Palacios ()
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C F Leon: Universidad de Los Andes
F Palacios: Universidad de Los Andes

Journal of the Operational Research Society, 2009, vol. 60, issue 10, 1411-1420

Abstract: Abstract Some DEA models have been proposed for acceptance or rejection based on a set of cases that have been previously classified. Also, a modified DEA-type linear programming model has been proposed to determine whether a new case must be accepted or rejected, depending on its location on, above, or below the sample frontier. However, these models assume that all attributes that characterize a case are discretionary. This paper extends these results by proposing a model that includes discretionary and non-discretionary attributes (inputs), and more important, a goal program which resembles a modified additive model to determine which characteristics must be changed (and by how much) in order to accept an initially rejected case. A real application is provided to illustrate the potential of the proposed ideas.

Keywords: data envelopment analysis; goal programming; insurance (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (2)

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DOI: 10.1057/jors.2008.96

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