Negative data in DEA: a simple proportional distance function approach

Kristiaan Kerstens and I Van de Woestyne
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I Van de Woestyne: Hogeschool Universiteit Brussel

Journal of the Operational Research Society, 2011, vol. 62, issue 7, 1413-1419

Abstract: Abstract 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. A recent article in this journal proposed a variation on the directional distance function, a very general distance function that is dual to the profit function, to accommodate the occurrence of negative data. In this contribution, we define and recommend a generalised Farrell proportional distance function that can do the same job and that maintains a proportional interpretation under mild conditions.

Keywords: data envelopment analysis; linear programming; optimization; production; finance (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (35)

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Working Paper: Negative data in DEA: a simple proportional distance function approach (2011)
Working Paper: Negative Data in DEA: A Simple Proportional Distance Function Approach (2009)
Working Paper: Negative Data in DEA: A Simple Proportional Distance Function Approach (2009)
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DOI: 10.1057/jors.2010.108

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