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Negative Data in DEA: A Simple Proportional Distance Function Approach

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Author Info

  • Kerstens, Kristiaan

    ()
    (IESEG School of Management, Lille, France)

  • Van de Woestyne, Ignace

    ()
    (Hogeschool-Universiteit Brussel (HUB), Belgium)

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.

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File URL: https://lirias.hubrussel.be/bitstream/123456789/2474/1/09HRP04.pdf
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Bibliographic Info

Paper provided by Hogeschool-Universiteit Brussel, Faculteit Economie en Management in its series Working Papers with number 2009/04.

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Length: 11 pages
Date of creation: Apr 2009
Date of revision:
Handle: RePEc:hub:wpecon:200904

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Web page: http://research.hubrussel.be
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Related research

Keywords: Data Envelopment Analysis; Linear Programming;

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References

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  1. Emrouznejad, Ali & Parker, Barnett R. & Tavares, Gabriel, 2008. "Evaluation of research in efficiency and productivity: A survey and analysis of the first 30 years of scholarly literature in DEA," Socio-Economic Planning Sciences, Elsevier, vol. 42(3), pages 151-157, September.
  2. Patrick T. Harker & Stavros A. Zenios, 1998. "What Drives the Performance of Financial Institutions?," Center for Financial Institutions Working Papers 98-21, Wharton School Center for Financial Institutions, University of Pennsylvania.
  3. Robert G. Chambers, 2002. "Exact nonradial input, output, and productivity measurement," Economic Theory, Springer, vol. 20(4), pages 751-765.
  4. Førsund, Finn R. & Sarafoglou, Nikias, 2003. "The Tale of two Research Communities: The Diffusion of Research on Productive Efficiency," Memorandum 08/2003, Oslo University, Department of Economics.
  5. Walter Briec & Kristiaan Kerstens, 2008. "Infeasibility and Directional Distance Functions with Application to the Determinateness of the Luenberger Productivity Indicator," Working Papers 2008-ECO-11, IESEG School of Management.
  6. Murthi, B. P. S. & Choi, Yoon K. & Desai, Preyas, 1997. "Efficiency of mutual funds and portfolio performance measurement: A non-parametric approach," European Journal of Operational Research, Elsevier, vol. 98(2), pages 408-418, April.
  7. Andrew Worthington, 2001. "An Empirical Survey of Frontier Efficiency Measurement Techniques in Education," Education Economics, Taylor & Francis Journals, vol. 9(3), pages 245-268.
  8. Jean-Paul Chavas & Kwansoo Kim, 2007. "Measurement and Sources of Economies of Scope: A Primal Approach," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 163(3), pages 411-427, September.
  9. Smith, P, 1990. "Data envelopment analysis applied to financial statements," Omega, Elsevier, vol. 18(2), pages 131-138.
  10. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
  11. DE BORGER, Bruno & KERSTENS, Kristiaan & COSTA, Álvaro, . "Public transit performance: What do we learn from frontier studies?," Working Papers 2000019, University of Antwerp, Faculty of Applied Economics.
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Cited by:
  1. Basso, Antonella & Funari, Stefania, 2014. "Constant and variable returns to scale DEA models for socially responsible investment funds," European Journal of Operational Research, Elsevier, vol. 235(3), pages 775-783.
  2. Alka Obadić & Aleksander Aristovnik, 2011. "Relative efficiency of higher education in Croatia and Slovenia: an international comparison," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 13(30), pages 362-376, June.

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