Negative Data in DEA: A Simple Proportional Distance Function Approach

Kristiaan Kerstens and Ignace Van de Woestyne ()
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Ignace Van de Woestyne: Hogeschool-Universiteit Brussel (HUB), Belgium

No 2009/04, Working Papers from Hogeschool-Universiteit Brussel, Faculteit Economie en Management

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. Silva Portela, Thanassoulis, and Simpson (2004) proposed a variation on the directional distance function, a very general distance function that is dual to the profit function, to accommodate eventual negative data. In this contribution, we suggest a simple variation on the proportional distance function that can do the same job.

Keywords: Data Envelopment Analysis; Linear Programming (search for similar items in EconPapers)
Pages: 11 pages
Date: 2009-04
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Citations: View citations in EconPapers (2)

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Related works:
Journal Article: Negative data in DEA: a simple proportional distance function approach (2011)
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)
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