Journal of Productivity Analysis

, Volume 17, Issue 3, pp 183–200

Nonparametric Efficiency Analysis under Price Uncertainty: A First-Order Stochastic Dominance Approach

Authors

  • Timo Kuosmanen
    • Department of Social SciencesWageningen University
  • Thierry Post
    • Erasmus Research Centre of Management (ERIM) and Department of Finance and AccountingErasmus University Rotterdam
Article

DOI: 10.1023/A:1015037719942

Cite this article as:
Kuosmanen, T. & Post, T. Journal of Productivity Analysis (2002) 17: 183. doi:10.1023/A:1015037719942

Abstract

This paper extends the nonparametric approach to efficiency analysis to deal with uncertainty of input-output prices. We generalize the notion of economic efficiency to derive necessary and sufficient first-order stochastic dominance (FSD) efficiency conditions. Interestingly, the FSD conditions include as limiting cases the traditional conditions for economic efficiency and technical efficiency. Furthermore, we propose empirical tests for these FSD conditions, which require minimal assumptions concerning the preferences of the decision-maker and the statistical distribution of the prices. From operational point of view, the FSD conditions can be tested empirically using standard mathematical programming techniques. An empirical application to the Dutch electricity distribution sector illustrates the approach.

nonparametric efficiency analysisdata envelopment analysisperformance evaluation under uncertaintystochastic dominanceelectricity distribution sector

Copyright information

© Kluwer Academic Publishers 2002