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

摘要

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.