An input-oriented super-efficiency measure in stochastic data envelopment analysis: Evaluating chief executive officers of US public banks and thrifts

Authors:
M. Khodabakhshi;M. Asgharian;Greg N. Gregoriou
Affiliations:
Department of Mathematics, Faculty of Science, Lorestan University, Khorram Abad, Iran;Department of Mathematics and Statistics, McGill University, Montreal, Canada;Department of Economics and Finance, School of Business and Economics, SUNY, Plattsburgh, New York, United States
Venue:
Expert Systems with Applications: An International Journal
Year:
2010

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Abstract

We develop an input-oriented super-efficiency measure in stochastic data envelopment analysis. A deterministic equivalent of the stochastic super-efficiency model is given. It is shown that this deterministic model can be converted to a quadratic program. Sensitivity analysis of the proposed super-efficiency model is discussed. The SNL Executive Compensation database is used to illustrate the methods developed in this article.