A Bayesian approach to statistical inference in stochastic DEA

Mike Tsionas and Emmanuel N. Papadakis

Omega, 2010, vol. 38, issue 5, 309-314

Abstract: 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.

Keywords: Efficiency; measurement; Stochastic; DEA; Bayesian; methods; Statistical; inference (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (22)

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