A Bayesian approach to statistical inference in stochastic DEA

Tsionas, Michael and Papadakis, Emmanuel N. (2010) A Bayesian approach to statistical inference in stochastic DEA. Omega: The International Journal of Management Science, 38 (5). pp. 309-314. ISSN 0305-0483

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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.

Item Type:
Journal Article
Journal or Publication Title:
Omega: The International Journal of Management Science
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1800/1802
Subjects:
ID Code:
65238
Deposited By:
Deposited On:
17 Jun 2013 12:51
Refereed?:
Yes
Published?:
Published
Last Modified:
11 Jun 2020 02:49