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A cautionary note on methods of comparing programmatic efficiency between two or more groups of DMUs in data envelopment analysis

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  • Gary Simpson

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  • Gary Simpson, 2007. "A cautionary note on methods of comparing programmatic efficiency between two or more groups of DMUs in data envelopment analysis," Journal of Productivity Analysis, Springer, vol. 28(1), pages 141-147, October.
    • Handle: RePEc:kap:jproda:v:28:y:2007:i:1:p:141-147
    DOI: 10.1007/s11123-007-0041-y
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    References listed on IDEAS

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    1. Léopold Simar & Paul Wilson, 2000. "Statistical Inference in Nonparametric Frontier Models: The State of the Art," Journal of Productivity Analysis, Springer, vol. 13(1), pages 49-78, January.
    2. Patrick L. Brockett & William W. Cooper & Linda L. Golden & John J. Rousseau & Yuying Wang, 2005. "Financial Intermediary Versus Production Approach to Efficiency of Marketing Distribution Systems and Organizational Structure of Insurance Companies," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 72(3), pages 393-412, September.
    3. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
    4. A. Charnes & W. W. Cooper & E. Rhodes, 1981. "Evaluating Program and Managerial Efficiency: An Application of Data Envelopment Analysis to Program Follow Through," Management Science, INFORMS, vol. 27(6), pages 668-697, June.
    5. B. Golany & J. E. Storbeck, 1999. "A Data Envelopment Analysis of the Operational Efficiency of Bank Branches," Interfaces, INFORMS, vol. 29(3), pages 14-26, June.
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    Cited by:

    1. Krasnopjorovs, Olegs, 2013. "Latvijas ekonomikas izaugsmi noteicošie faktori [Factors of Economic Growth in Latvia]," MPRA Paper 47550, University Library of Munich, Germany.

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    More about this item

    Keywords

    Data envelopment analysis (DEA); Statistics; Programmatic efficiency; C12; C14; C61; C67;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models

    Statistics

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