Chance constrained programming approaches to technical efficiencies and inefficiencies in stochastic data envelopment analysis

W W Cooper (), H Deng, Z Huang and S X Li
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W W Cooper: The Red McCombs School of Business, University of Texas at Austin
H Deng: The Red McCombs School of Business, University of Texas at Austin
Z Huang: School of Business, Adelphi University
S X Li: School of Business, Adelphi University

Journal of the Operational Research Society, 2002, vol. 53, issue 12, 1347-1356

Abstract: Abstract This paper replaces ordinary DEA formulations with stochastic counterparts in the form of a series of chance constrained programming models. Emphasis is on technical efficiencies and inefficiencies which do not require costs or prices, but which are nevertheless basic in that the achievement of technical efficiency is necessary for the attainment of ‘allocative’, ‘cost’ and other types of efficiencies.

Keywords: efficiency; data envelopment analysis; dominance; stochastic; chance constraints (search for similar items in EconPapers)
Date: 2002
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Citations: View citations in EconPapers (43)

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DOI: 10.1057/palgrave.jors.2601433

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