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Improving the Sensitivity of Data Envelopment Analysis by Reducing Dimensionality

Author

Listed:
  • Fox, K.J.
  • Hill
  • R.J.

Abstract

Sata Envelopment Analysis (DEA) of efficiency is highly sensitive to the level of aggregation. Generally as the number of inputs and outputs increase, differences in measured relative efficiency across firms decrease. This paper advocates using the EKS index number formula to aggreagte inputs and outputs into a single input and output index prior to using DEA.

Suggested Citation

  • Fox, K.J. & Hill & R.J., 1996. "Improving the Sensitivity of Data Envelopment Analysis by Reducing Dimensionality," Papers 96/1, New South Wales - School of Economics.
    • Handle: RePEc:fth:nesowa:96/1
    as

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    More about this item

    Keywords

    PHARMACEUTICAL INDUSTRY; STATISTICS;

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

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