The use of categorical variables in data envelopment analysis
Management Science
Efficiency analysis for exogenously fixed inputs and outputs
Operations Research
Resource-use efficiency in public schools: a study of Connecticut data
Management Science
A presentation of GAMS for DEA
Computers and Operations Research - Special issue on data envelopment analysis
Profit, directional distance functions, and Nerlovian efficiency
Journal of Optimization Theory and Applications
Data Envelopment Analysis: The Assessment of Performance
Data Envelopment Analysis: The Assessment of Performance
Resource Allocation Based on Efficiency Analysis
Management Science
HICSS '06 Proceedings of the 39th Annual Hawaii International Conference on System Sciences - Volume 02
Evaluating alternative DEA models used to control for non-discretionary inputs
Computers and Operations Research
Computers and Operations Research
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This paper develops a method based on data envelopment analysis (DEA) for efficiency assessments taking into account the effect of non-discretionary factors. A typology that classifies the non-discretionary factors into two groups is proposed: the factors that characterize the external conditions where the decision making units (DMUs) operate (external factors), and the factors that are internal to the production process but cannot be controlled by the decision makers (internal factors). This paper proposes an enhanced DEA model that accommodates non-discretionary inputs and outputs and treats them differently depending on their classification as internal or external to the production process. This generalized model integrates the previous approaches for dealing with non-discretionary variables described in the DEA literature. The model defines the efficient frontier based exclusively on the discretionary variables and internal non-discretionary factors, but the potential peers of each DMU are restricted to other units facing comparable external conditions (represented by the external non-discretionary factors). The peer selection criteria implemented in the DEA model is informed by decision makers' opinion. The applicability of the model developed is illustrated with a real-world assessment of retailing stores.