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Far out or alone in the crowd: Classification of selfevaluators in DEA

  • Edvardsen, Dag Fjeld

    (The Norwegian Building Research Institute, Norway)

  • Føsund, Finn R.

    ()

    (Department of Economics)

  • Kittelsen, Sverre A.C.

    (The Frisch Centre, Norway)

The units found strongly efficient in DEA studies on efficiency can be divided into self-evaluators and active peers, depending on whether the peers are referencing any inefficient units or not. The contribution of the paper starts with subdividing the selfevaluators into interior and exterior ones. The exterior self-evaluators are efficient “by default”; there is no firm evidence from observations for the classification. These units should therefore not been regarded as efficient, and be removed from the observations on efficiency scores when performing a two-stage analysis of explaining the distribution of the scores. A method for classifying self-evaluators based on the additive DEA model is developed. The application to municipal nursing- and home care services of Norway shows significant effects of removing exterior self-evaluators from the data when doing a two-stage analysis.

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File URL: http://www.hero.uio.no/publicat/2003/HERO2003_7.pdf
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Paper provided by Oslo University, Health Economics Research Programme in its series HERO On line Working Paper Series with number 2003:7.

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Length: 24 pages
Date of creation: 21 Jun 2009
Date of revision:
Handle: RePEc:hhs:oslohe:2003_007
Contact details of provider: Postal: HERO / Institute of Health Management and Health Economics P.O. Box 1089 Blindern, N-0317 Oslo, Norway
Phone: 2307 5309
Fax: 2307 5310
Web page: http://www.hero.uio.no/eng.htmlEmail:


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  1. Edvardsen, Dag Fjeld & Forsund, Finn R., 2003. "International benchmarking of electricity distribution utilities," Resource and Energy Economics, Elsevier, vol. 25(4), pages 353-371, October.
  2. 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.
  3. Seitz, Wesley D, 1971. "Productive Efficiency in the Steam-Electric Generating Industry," Journal of Political Economy, University of Chicago Press, vol. 79(4), pages 878-86, July-Aug..
  4. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
  5. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
  6. Finn Førsund & Nikias Sarafoglou, 2002. "On the Origins of Data Envelopment Analysis," Journal of Productivity Analysis, Springer, vol. 17(1), pages 23-40, January.
  7. Charnes, A. & Cooper, W. W. & Golany, B. & Seiford, L. & Stutz, J., 1985. "Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 91-107.
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