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.
Year of publication: |
2010
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---|---|
Authors: | Tsionas, Efthymios G. ; Papadakis, Emmanuel N. |
Published in: |
Omega. - Elsevier, ISSN 0305-0483. - Vol. 38.2010, 5, p. 309-314
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Publisher: |
Elsevier |
Keywords: | Efficiency measurement Stochastic DEA Bayesian methods Statistical inference |
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