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Hypothesis tests using data envelopment analysis

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Abstract

A substantial body of recent work has opened the way to exploring the statistical properties of DEA estimators of production frontiers and related efficiency measures. The purpose of this paper is to survey several possibilities that have been pursued, and to present them in a unified framework. These include the development of statistics to test hypotheses about the characteristics of the production frontier, such as returns to scale, input substitutability, and model specification, and also about variation in efficiencies relative to the production frontier.

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Authors and Affiliations

  1. Carlson School of Management, University of Minnesota, 55455, Minneapolis, MN

    Rajiv D. Banker

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  1. Rajiv D. Banker
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Banker, R.D. Hypothesis tests using data envelopment analysis. J Prod Anal 7, 139–159 (1996). https://doi.org/10.1007/BF00157038

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