Stochastic Data Envelopment Analysis—A review

Ole B. Olesen and Niels Christian Petersen

European Journal of Operational Research, 2016, vol. 251, issue 1, 2-21

Abstract: This paper provides a review of stochastic Data Envelopment Analysis (DEA). We discuss extensions of deterministic DEA in three directions: (i) deviations from the deterministic frontier are modeled as stochastic variables, (ii) random noise in terms of measurement errors, sample noise, and specification errors is made an integral part of the model, and (iii) the frontier is stochastic as is the underlying Production Possibility Set (PPS).

Keywords: Data Envelopment Analysis; Stochastic DEA; Stochastic frontier analysis; Stochastic production possibility sets; Review of stochastic DEA (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (66)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:251:y:2016:i:1:p:2-21

DOI: 10.1016/j.ejor.2015.07.058

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