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Distance Functions

With Applications to DEA

  • Chapter
Book cover Handbook on Data Envelopment Analysis

Part of the book series: International Series in Operations Research & Management Science ((ISOR,volume 71))

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Abstract

Duality between distance functions and support functions is shown to be the basis for performance measures and their decompositions. DEA may be used to evaluate the measures.

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References

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Author information

Authors and Affiliations

  1. Department of Economics and Department of Agricultural Economics, Oregon State University, Corvallis, OR, 97331, USA

    Rolf Färe

  2. Department of Economics, Oregon State University, Corvallis, OR, 97331, USA

    Shawna Grosskopf

  3. National Forage Seed Production Research Center, Agricultural Research Sevice, USDA, Corvallis, OR, 97331, USA

    Gerald Whittaker

Authors
  1. Rolf Färe
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  2. Shawna Grosskopf
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  3. Gerald Whittaker
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Editor information

Editors and Affiliations

  1. University of Texas at Austin, USA

    William W. Cooper

  2. University of Michigan at Ann Arbor, USA

    Lawrence M. Seiford

  3. Worcester Polytechnic Institute, USA

    Joe Zhu

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© 2004 Kluwer Academic Publishers

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Färe, R., Grosskopf, S., Whittaker, G. (2004). Distance Functions. In: Cooper, W.W., Seiford, L.M., Zhu, J. (eds) Handbook on Data Envelopment Analysis. International Series in Operations Research & Management Science, vol 71. Springer, Boston, MA. https://doi.org/10.1007/1-4020-7798-X_5

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  • DOI: https://doi.org/10.1007/1-4020-7798-X_5

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4020-7797-5

  • Online ISBN: 978-1-4020-7798-2

  • eBook Packages: Springer Book Archive

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