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Statistical Analysis in DEA

In: Benchmarking with DEA, SFA, and R

Author

Listed:
  • Peter Bogetoft

    (Copenhagen Business School CBS)

  • Lars Otto

    (University of Copenhagen)

Abstract

DEA is often classified as a non-statistical or deterministic approach that does not easily allow genuine hypothesis testing. Although DEA has not historically emphasized the use of traditional statistical tests, considerable progress has been made in this respect over the last 15 years. We will cover some important results in this chapter.

Suggested Citation

  • Peter Bogetoft & Lars Otto, 2011. "Statistical Analysis in DEA," International Series in Operations Research & Management Science, in: Benchmarking with DEA, SFA, and R, chapter 0, pages 155-196, Springer.
    • Handle: RePEc:spr:isochp:978-1-4419-7961-2_6
    DOI: 10.1007/978-1-4419-7961-2_6
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    Cited by:

    1. Fauvrelle Thiago A. & Tony C Almeida Alessio, 2018. "Determinants of Judicial Efficiency Change: Evidence from Brazil," Review of Law & Economics, De Gruyter, vol. 14(1), pages 1-36, March.
    2. Zarrin, Mansour & Brunner, Jens O., 2023. "Analyzing the accuracy of variable returns to scale data envelopment analysis models," European Journal of Operational Research, Elsevier, vol. 308(3), pages 1286-1301.

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