Enhancing the inclusion of non-discretionary inputs in DEA

José Manuel Cordero Ferrera · Francisco Pedraja Chaparro · Daniel Santín González

38 citations0/0 files storedJournal of the Operational Research Society

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Efficiency Analysis Using DEA Sports Analytics and Performance Management and Performance Evaluation

Abstract

The aim of this paper is to provide an alternative approach for estimating efficiency when a set of decision-making units uses non-discretionary inputs in the productive process. To test the influence of these variables, our proposal uses a multi-stage approach based on Tobit regressions. In order to avoid potential bias, a bootstrap procedure is used to estimate these regressions. This methodology allows enhancing other models previously proposed to introduce non-controllable inputs in data envelopment analysis (DEA) overcoming, thus, some of their main shortcomings. We illustrate our framework with an empirical application on Spanish high schools where non-controllable factors play a major role to explain educational achievements.

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References

1978Measuring the efficiency of decision making units 1984Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis 2005Estimation and inference in two-stage, semi-parametric models of production processes 1994Data Envelopment Analysis: Theory, Methodology, and Applications 1986The Economics of Schooling: Production and Efficiency in Public Schools.1997Assessing the Effects of School Resources on Student Performance: An Update 1993The measurement of productive efficiency : techniques and applications 1986Efficiency Analysis for Exogenously Fixed Inputs and Outputs

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