IDEAS home Printed from https://ideas.repec.org/a/adr/anecst/y2006i82p217-242.html
   My bibliography  Save this article

Efficiency Measurement: A Nonparametric Approach

Author

Listed:
  • Yves Aragon
  • Abdelaati Daouia
  • Christine Thomas-Agnan

Abstract

The aim of the paper is to present a statistical methodology allowing a meaningful comparison of the production performance of firms without resorting to the usual concept of production frontier. We introduce an efficiency measure based on a nonstandard conditional distribution and propose a two-stage estimation procedure with a smoothing step followed by an isotonization step. We illustrate the approach through a simulated example and an analysis of the performance of Spanish electricity distributors.

Suggested Citation

  • Yves Aragon & Abdelaati Daouia & Christine Thomas-Agnan, 2006. "Efficiency Measurement: A Nonparametric Approach," Annals of Economics and Statistics, GENES, issue 82, pages 217-242.
  • Handle: RePEc:adr:anecst:y:2006:i:82:p:217-242
    as

    Download full text from publisher

    File URL: http://www.jstor.org/stable/20079157
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Alexandre Volle & Antoine Cazals & Bilal El Rafhi, 2023. "Another Wind of Change? Evidence about Political Outsiders in the French Parliament," Revue d'économie politique, Dalloz, vol. 133(2), pages 203-231.
    2. Gavoille, Nicolas & Verschelde, Marijn, 2017. "Electoral competition and political selection: An analysis of the activity of French deputies, 1958–2012," European Economic Review, Elsevier, vol. 92(C), pages 180-195.
    3. Gavoille, Nicolas & Verschelde, Marijn, 2017. "Electoral competition and political selection: An analysis of the activity of French deputies, 1958–2012," European Economic Review, Elsevier, vol. 92(C), pages 180-195.
    4. Daouia, Abdelaati & Simar, Leopold, 2007. "Nonparametric efficiency analysis: A multivariate conditional quantile approach," Journal of Econometrics, Elsevier, vol. 140(2), pages 375-400, October.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:adr:anecst:y:2006:i:82:p:217-242. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Secretariat General or Laurent Linnemer (email available below). General contact details of provider: https://edirc.repec.org/data/ensaefr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.