IDEAS home Printed from https://ideas.repec.org/a/dse/indecr/0024.html

Data Envelopment Analysis for Performance Evaluation: A Child’s Guide

Author

Listed:
  • SUBHASH C. RAY

    (University of Connecticut)

  • LEI CHEN

    (University of Connecticut)

Abstract

In this paper we offer a simple exposition of the neoclassical production theoretic foundations of Data Envelopment Analysis. The concepts of technical efficiency (both input- and output-oriented), scale efficiency, and cost efficiency are explained and the corresponding DEA models are described in details. We offer step-by-step instruction on how to write the codes for solving the various DEA models using the Solver option in the widely accessible MS Excel software. An important feature of this paper is a detailed exposition of how to write various Visual Basic Macro programs for solving DEA problems. We also describe the non-convex Free Disposal Hull (FDH) procedure and the secondstage regression analysis that seeks to account for variation in measured efficiency scores due to external factors.

Suggested Citation

  • Subhash C. Ray & Lei Chen, 2010. "Data Envelopment Analysis for Performance Evaluation: A Child’s Guide," Indian Economic Review, Department of Economics, Delhi School of Economics, vol. 45(2), pages 79-124.
    • Handle: RePEc:dse:indecr:0024
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    Other versions of this item:

    Citations

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


    Cited by:

    1. Giuseppe Coco & Raffaele Lagravinese & Giuliano Resce, 2020. "Beyond the weights: a multicriteria approach to evaluate inequality in education," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 18(4), pages 469-489, December.
    2. Maha Kalai, 2019. "Nonparametric Measures of Capacity Utilization of the Tunisian Manufacturing Industry: Short- and Long-Run Dual Approach," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 10(1), pages 318-334, March.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • D02 - Microeconomics - - General - - - Institutions: Design, Formation, Operations, and Impact

    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:dse:indecr:0024. 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: Pami Dua (email available below). General contact details of provider: https://edirc.repec.org/data/deudein.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.