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Bootstrap Estimation for Nonparametric Efficiency Estimates

Author

Listed:
  • WILSON, Paul

    (Department of Economics, University of Texas, Austin, Texas)

  • SIMAR, Leopold

    (Institut de Statistique and CORE, Université catholique de Louvain, B-1348 Louvain-la-Neuve, Belgium)

Abstract

This paper develops a consistent bootstrap estimation procedure to obtain confidence intervals for nonparametric measures of productive efficiency. Although the methodology is illustrated in terms of technical efficiency measured by output distance functions, the technique can be easily extented to consistent non parametric frontier models. Variation in estimated efficiency scores is assumed to result from variation in empirical approximations to the true boundary of the production set. The bootstrap procedure also corrects for bias inherent in non parametric efficiency estimators.

Suggested Citation

  • WILSON, Paul & SIMAR, Leopold, 1995. "Bootstrap Estimation for Nonparametric Efficiency Estimates," LIDAM Discussion Papers CORE 1995071, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    • Handle: RePEc:cor:louvco:1995071
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    File URL: https://sites.uclouvain.be/core/publications/coredp/coredp1995.html
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    Citations

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    Cited by:

    1. Emilio Galdeano-Gomez, 2008. "Productivity effects of environmental performance: evidence from TFP analysis on marketing cooperatives," Applied Economics, Taylor & Francis Journals, vol. 40(14), pages 1873-1888.
    2. Khezrimotlagh, Dariush & Cook, Wade D. & Zhu, Joe, 2020. "A nonparametric framework to detect outliers in estimating production frontiers," European Journal of Operational Research, Elsevier, vol. 286(1), pages 375-388.
    3. Serifsoy, Baris, 2007. "Stock exchange business models and their operative performance," Journal of Banking & Finance, Elsevier, vol. 31(10), pages 2978-3012, October.
    4. J. Richmond, 2005. "Slack And Net Technical Efficiency Measurement: A Bootstrap Approach," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 4(03), pages 395-410.
    5. Richmond, J, 2001. "Slack and Net Technical Efficiency Measurement: A Bootstrap Approach," Economics Discussion Papers 8837, University of Essex, Department of Economics.
    6. Mickael Lothgren & Magnus Tambour, 1999. "Bootstrapping the data envelopment analysis Malmquist productivity index," Applied Economics, Taylor & Francis Journals, vol. 31(4), pages 417-425.
    7. Kathy Hayes, 2000. "Public Sector Performance: Move or Monitor?," Southern Economic Journal, John Wiley & Sons, vol. 66(4), pages 820-828, April.

    More about this item

    Keywords

    Bootstrap; distance function; efficiency; frontier models;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling

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