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

by Subhash C. Ray

• ISBN13: 9780521802567
• ISBN10: 0521802563
• Format: Hardcover
• Copyright: 2004-06-07
• Publisher: Cambridge University Press

Summary

Using the neo-classical theory of production economics as the analytical framework, this book 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 more recent 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.

Table of Contents

Preface	ix
1 Introduction and Overview	1	(11)
2 Productivity, Efficiency, and Data Envelopment Analysis	12	(34)
Appendix to Chapter 2	42	(4)
3 Variable Returns to Scale: Separating Technical and Scale Efficiencies	46	(36)
4 Extensions to the Basic DEA Models	82	(29)
5 Nonradial Models and Pareto-Koopmans Measures of Technical Efficiency	111	(23)
6 Efficiency Measurement without Convexity Assumption: Free Disposal Hull Analysis	134	(25)
7 Dealing with Slacks: Assurance Region/Cone Ratio Analysis, Weak Disposability, and Congestion	159	(28)
8 Efficiency of Merger and Breakup of Firms	187	(21)
9 Efficiency Analysis with Market Prices	208	(37)
10 Nonparametric Approaches in Production Economics	245	(29)
11 Measuring Total Productivity Change over Time	274	(33)
12 Stochastic Approaches to Data Envelopment Analysis	307	(20)
13 Looking Ahead	327	(2)
References	329	(10)
Index	339