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Performance evaluation using bootstrapping DEA techniques: Evidence from industry ratio analysis

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  • Halkos, George
  • Tzeremes, Nickolaos

Abstract

In Data Envelopment Analysis (DEA) context financial data/ ratios have been used in order to produce a unified measure of performance metric. However, several scholars have indicated that the inclusion of financial ratios create biased efficiency estimates with implications on firms’ and industries’ performance evaluation. There have been several DEA formulations and techniques dealing with this problem including sensitivity analysis, Prior-Ratio-Analysis and DEA/ output–input ratio analysis for the assessment of the efficiency and ranking of the examined units. In addition to these computational approaches this paper in order to overcome these problems applies bootstrap techniques. Moreover it provides an application evaluating the performance of 23 Greek manufacturing sectors with the use of financial data. The results reveal that in the first stage of our sensitivity analysis the efficiencies obtained are biased. However, after applying the bootstrap techniques the sensitivity analysis reveals that the efficiency scores have been significantly improved.

Suggested Citation

  • Halkos, George & Tzeremes, Nickolaos, 2010. "Performance evaluation using bootstrapping DEA techniques: Evidence from industry ratio analysis," MPRA Paper 25072, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:25072
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    References listed on IDEAS

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    Cited by:

    1. Shahsuzan Zakaria, 2023. "The Need to go Beyond Deterministic Data Envelopment Analysis (DEA): A Comparative Analysis with Bootstrapping DEA in Risk Management Efficiency Measurements," Information Management and Business Review, AMH International, vol. 15(4), pages 433-446.
    2. Sandrine A. Kablan & Jean-phillipe Boussemart, 2015. "Bootstrapping efficiency scores of microfinance institutions in West African economic and monetary union," Economics Bulletin, AccessEcon, vol. 35(4), pages 2220-2232.
    3. Halkos, George & Tzeremes, Nickolaos, 2011. "A nonparametric analysis of the Greek renewable energy sector," MPRA Paper 30467, University Library of Munich, Germany.
    4. Muhammad AFZAL & Maryam AYAZ, 2013. "Efficiency of Food Sector of Pakistan-A Dea Analysis," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 3(10), pages 1310-1330, October.

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    More about this item

    Keywords

    Performance measurement; Data Envelopment Analysis; Financial ratios; Bootstrap; Bias correction;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models

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