This volume systematically details both the basic principles and new developments in Data Envelopment Analysis (DEA), offering a solid understanding of the methodology, its uses, and its potential. New material in this edition includes coverage of recent developments that have greatly extended the power and scope of DEA and have lead to new directions for research and DEA uses. Each chapter accompanies its developments with simple numerical examples and discussions of actual applications. The first nine chapters cover the basic principles of DEA, while the final seven chapters provide a more advanced treatment.
Cuprins
General Discussion.- The Basic CCR Model.- The CCR Model and Production Correspondence.- Alternative Dea Models.- Returns to Scale.- Models with Restricted Multipliers.- Non-Discretionary and Categorical Variables.- Allocation Models.- Data Variations.- Super-Efficiency Models.- Efficiency Change over Time.- Scale Elasticity and Congestion.- Undesirable Outputs Models.- Economies of Scope and Capacity Utilization.- A Dea Game.- Multi-Stage Use of Parametric and Non-Parametric Models.
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