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Statistical inference for the Russell measure of technical efficiency

Author

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  • Oleg Badunenko
  • Pavlo Mozharovskyi

    (LTCI - Laboratoire Traitement et Communication de l'Information - IMT - Institut Mines-Télécom [Paris] - Télécom Paris)

Abstract

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.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Oleg Badunenko & Pavlo Mozharovskyi, 2018. "Statistical inference for the Russell measure of technical efficiency," Post-Print hal-02288042, HAL.
  • Handle: RePEc:hal:journl:hal-02288042
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    Cited by:

    1. Isabel Narbón-Perpiñá & Maria Teresa Balaguer-Coll & Diego Prior & Emili Tortosa-Ausina, 2023. "Vertical transfers, political alignment, and efficiency in local government," Working Papers 2023/08, Economics Department, Universitat Jaume I, Castellón (Spain).

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