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Advances in Data Envelopment Analysis

Author

Listed:
  • Rolf Färe

    (Oregon State University, USA)

  • Shawna Grosskopf

    (Oregon State University, USA)

  • Dimitris Margaritis

    (University of Auckland, New Zealand)

Abstract

Data Envelopment Analysis (DEA) is often overlooked in empirical work such as diagnostic tests to determine whether the data conform with technology which, in turn, is important in identifying technical change, or finding which types of DEA models allow data transformations, including dealing with ordinal data.

Individual chapters are listed in the "Chapters" tab

Suggested Citation

  • Rolf Färe & Shawna Grosskopf & Dimitris Margaritis, 2015. "Advances in Data Envelopment Analysis," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 9450, January.
    • Handle: RePEc:wsi:wsbook:9450
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    File URL: https://www.worldscientific.com/worldscibooks/10.1142/9450
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    Cited by:

    1. Thyago Celso Cavalcante Nepomuceno & Katarina Tatiana Marques Santiago & Cinzia Daraio & Ana Paula Cabral Seixas Costa, 2022. "Exogenous crimes and the assessment of public safety efficiency and effectiveness," Annals of Operations Research, Springer, vol. 316(2), pages 1349-1382, September.

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