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Statistical inference for the Russell measure of technical efficiency

Research output: Contribution to journal › Article

  • Oleg Badunenko
  • Pavlo Mozharovskyi
Data Envelopment Analysis (DEA) has become a popular approach to nonparametric efficiency measurement. The statistical inference using bootstrap methods is readily available for the radial DEA estimator, however it is missing for the Russell measure, the nonradial DEA estimator. We propose a bootstrap based procedure for making statistical inference about the individual Russell measures of technical efficiency. We perform simulations to examine finite sample properties of the proposed estimator. Finally, we present an empirical study using proposed bootstrap procedure.
Original languageEnglish
Number of pages11
JournalJournal of the Operational Research Society
Early online date23 Apr 2019
Publication statusEarly online - 23 Apr 2019


  • BADUNENKO_2019_cright_EJOR_Statistical Inference for the Russell Measure of Technical Effciency

    Rights statement: This is an Accepted Manuscript of an article published by Taylor & Francis in the Journal of Operational Research Society on 23.04.2019, available online:

    Accepted author manuscript (Post-print), 1.43 MB, PDF document

    Due to publisher’s copyright restrictions, this document is not freely available to download from this website until: 23/04/20

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