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Russell and Slack-Based Measures of Efficiency: A Unifying Framework

Author

Listed:
  • Léopold Simar

    (Institut de Statistique, Biostatistique et Sciences Actuarielles, Université Catholique de Louvain, Voie du Roman Pays 20, B1348 Louvain-la-Neuve, Belgium)

  • Valentin Zelenyuk

    (School of Economics and Centre for Efficiency and Productivity Analysis (CEPA) at The University of Queensland, Australia)

  • Shirong Zhao

    (School of Finance, Dongbei University of Finance and Economics, Dalian, Liaoning 116025)

Abstract

We propose a unifying framework for the slack-based measurement of technical efficiency that also embraces Russell efficiency and many other important approaches of efficiency measures as special cases in this unified framework.

Suggested Citation

  • Léopold Simar & Valentin Zelenyuk & Shirong Zhao, 2023. "Russell and Slack-Based Measures of Efficiency: A Unifying Framework," CEPA Working Papers Series WP092023, School of Economics, University of Queensland, Australia.
    • Handle: RePEc:qld:uqcepa:191
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    File URL: https://economics.uq.edu.au/files/48148/WP092023.pdf
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    References listed on IDEAS

    as
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    2. Tsionas, Mike & Parmeter, Christopher F. & Zelenyuk, Valentin, 2023. "Bayesian Artificial Neural Networks for frontier efficiency analysis," Journal of Econometrics, Elsevier, vol. 236(2).
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    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Russell Efficiency; Slack-Based Efficiency; Non-parametric Efficiency Estimators; Data Envelopment Analysis;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • L24 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Contracting Out; Joint Ventures
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance

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