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

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

by Subhash C. Ray
     
 

ISBN-10: 0521802563

ISBN-13: 9780521802567

Pub. Date: 02/28/2014

Publisher: Cambridge University Press

Writing for readers from different disciplines, Ray (economics, U. of Connecticut-Storrs) presents the essentials of data envelopment analysis (DEA, a nonparametric method of measuring the production efficiency of firms or public sector agencies) with the aim of providing the background for allowing readers to formulate their own DEA models for specific problems. He

Overview

Writing for readers from different disciplines, Ray (economics, U. of Connecticut-Storrs) presents the essentials of data envelopment analysis (DEA, a nonparametric method of measuring the production efficiency of firms or public sector agencies) with the aim of providing the background for allowing readers to formulate their own DEA models for specific problems. He systematically relates various kinds of DEA models to specific concepts and issues, including measurement of productivity and technical efficiency without price data, Pareto-Koopmans technical efficiency, efficiency measurement without convexity, breakup and merger of firms, and productivity change over time. Annotation ©2004 Book News, Inc., Portland, OR

Product Details

ISBN-13:
9780521802567
Publisher:
Cambridge University Press
Publication date:
02/28/2014
Pages:
353
Product dimensions:
6.30(w) x 9.37(h) x 0.94(d)

Table of Contents

1. Introduction and overview; 2. Productivity, efficiency, and data envelopment analysis; 3. Variable returns to scale: separating technical and scale efficiencies; 4. Extensions to the basic DEA models; 5. Non-radial models and Pareto-Koopmans measures of technical efficiency; 6. Efficiency measurement without convexity assumption: free disposal hull analysis; 7. Dealing with slacks: assurance region/cone ratio analysis, weak disposability, and congestion; 8. Efficiency of merger and break up of firms; 9. Efficiency analysis with market prices; 10. Nonparametric approaches to production analysis; 11. Measuring total factor productivity change over time; 12. Stochastic approaches to data envelopment analysis; 13. Looking ahead.

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