A Bayesian approach to statistical inference in stochastic DEA
Stochastic DEA can deal effectively with noise in the non-parametric measurement of efficiency but unfortunately formal statistical inference on efficiency measures in not possible. In this paper, we provide a Bayesian approach to the problem organized around simulation techniques that allow for finite-sample inferences on efficiency scores. The new methods are applied to efficiency analysis of the Greek banking system for the period 1993-1999. The results show that the majority of the Greek banks operate close to best market practices.
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Volume (Year): 38 (2010)
Issue (Month): 5 (October)
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