Three-Stage DEA Models for Incorporating Exogenous Inputs

Estelle, Sarah M.; Johnson, Andrew L; Ruggiero, John

doi:10.2139/ssrn.1480785

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Three-Stage DEA Models for Incorporating Exogenous Inputs

Estella, S., A.L. Johnson, and J. Ruggiero, 2010. “Three-stage DEA Models for Incorporating Exogenous Inputs.” Computers and Operations Research 37(6): 1087-1090.

17 Pages Posted: 1 Oct 2009 Last revised: 23 Feb 2018

See all articles by Sarah M. Estelle

John Ruggiero

University of Dayton - School of Business Administration - Department of Economics and Finance

Date Written: September 30, 2009

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.

Keywords: data envelopment analysis, Non-discretionary inputs

Suggested Citation: Suggested Citation

Estelle, Sarah M. and Johnson, Andrew L and Ruggiero, John, Three-Stage DEA Models for Incorporating Exogenous Inputs (September 30, 2009). Estella, S., A.L. Johnson, and J. Ruggiero, 2010. “Three-stage DEA Models for Incorporating Exogenous Inputs.” Computers and Operations Research 37(6): 1087-1090., Available at SSRN: https://ssrn.com/abstract=1480785 or http://dx.doi.org/10.2139/ssrn.1480785