Data Envelopment Analysis: Theory and Techniques for Economics and Operations Research

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Cambridge University Press, Jun 7, 2004 - Business & Economics
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Using the neo-classical theory of production economics as the analytical framework, this book, first published in 2004, provides a unified and easily comprehensible, yet fairly rigorous, exposition of the core literature on data envelopment analysis (DEA) for readers based in different disciplines. The various DEA models are developed as nonparametric alternatives to the econometric models. Apart from the standard fare consisting of the basic input- and output-oriented DEA models formulated by Charnes, Cooper, and Rhodes, and Banker, Charnes, and Cooper, the book covers developments such as the directional distance function, free disposal hull (FDH) analysis, non-radial measures of efficiency, multiplier bounds, mergers and break-up of firms, and measurement of productivity change through the Malmquist total factor productivity index. The chapter on efficiency measurement using market prices provides the critical link between DEA and the neo-classical theory of a competitive firm. The book also covers several forms of stochastic DEA in detail.
 

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Contents

Introduction and Overview
1
Productivity Efficiency and Data Envelopment Analysis
12
Appendix to Chapter 2
44
Separating Technical and Scale Efficiencies
46
Extensions to the Basic DEA Models
82
Nonradial Models and ParetoKoopmans Measures of Technical Efficiency
111
Free Disposal Hull Analysis
134
Assurance RegionCone Ratio Analysis
159
Efficiency of Merger and Breakup of Firms
187
Efficiency Analysis with Market Prices
208
Nonparametric Approaches in Production Economics
245
Measuring Total Productivity Change over Time
274
Stochastic Approaches to Data Envelopment Analysis
307
Looking Ahead
327
References
329
Index
339

Weak Disposability and Congestion
170

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