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Data Envelopment Analysis: An Overview

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  • Subhash C. Ray

    (University of Connecticut)

Abstract

Over the past decades Data Envelopment Analysis (DEA) has emerged as an important nonparametric method of evaluating performance of decision making units through benchmarking. Although developed primarily for measuring technical efficiency, DEA is now applied extensively for measuring scale efficiency, cost efficiency, and profit efficiency as well. This paper integrates the different DEA models commonly applied in empirical research with their underlying theoretical foundations in neoclassical production economics.

Suggested Citation

  • Subhash C. Ray, 2014. "Data Envelopment Analysis: An Overview," Working papers 2014-33, University of Connecticut, Department of Economics.
  • Handle: RePEc:uct:uconnp:2014-33
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    References listed on IDEAS

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    More about this item

    Keywords

    Linear Programming; Technical Efficiency; Returns to Scale; Distance Functions;
    All these keywords.

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • D2 - Microeconomics - - Production and Organizations

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