Chance constrained programming approaches to technical efficiencies and inefficiencies in stochastic data envelopment analysis
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TL;DR
This paper replaces ordinary DEA formulations with stochastic counterparts in the form of a series of chance constrained programming models, with emphasis on technical efficiencies and inefficiencies which do not require costs or prices.
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.