Three-stage DEA models for incorporating exogenous inputs Academic Article

abstract

• In this paper, we discuss three-stage models that control for exogenous, non-discretionary inputs in data envelopment analysis. In a recent article in this journal, Monte Carlo analysis was employed to compare and contrast alternative DEA models that measure efficiency in the presence of exogenous variables. The methodology for comparison was flawed, calling into question the results presented. We introduce new second-stage models and compare and contrast them with simulated data. © 2009 Elsevier Ltd. All rights reserved.

authors

• Johnson, Andrew

published proceedings

• Computers & Operations Research

author list (cited authors)

• Estelle, S. M., Johnson, A. L., & Ruggiero, J.

citation count

• 50

complete list of authors

• Estelle, Sarah M||Johnson, Andy L||Ruggiero, John

publication date

• June 2010

publisher

• Elsevier BV  Publisher

published in

• Computers & Operations Research  Journal

keywords

• Data Envelopment Analysis
• Non-discretionary Inputs

Digital Object Identifier (DOI)

• 10.1016/j.cor.2009.09.015

start page

• 1087

end page

• 1090

volume

• 37

issue

• 6