Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - A Bayesian approach to statistical inference in stochastic DEA
AU - Tsionas, Michael
AU - Papadakis, Emmanuel N.
PY - 2010/10
Y1 - 2010/10
N2 - 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.
AB - 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.
KW - Efficiency measurement
KW - Stochastic DEA
KW - Bayesian methods
KW - Statistical inference
U2 - 10.1016/j.omega.2009.02.003
DO - 10.1016/j.omega.2009.02.003
M3 - Journal article
VL - 38
SP - 309
EP - 314
JO - Omega: The International Journal of Management Science
JF - Omega: The International Journal of Management Science
SN - 0305-0483
IS - 5
ER -