Cover image for The measurement of productive efficiency and productivity growth
Title:
The measurement of productive efficiency and productivity growth
Publication Information:
New York : Oxford University Press, 2008
Physical Description:
xiv, 638 p. : ill. ; 25 cm.
ISBN:
9780195183528

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30000010237303 HD56.25 M4356 2008 Open Access Book Book
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Summary

Summary

When Harold Fried, et al. published The Measurement of Productive Efficiency: Techniques and Applications with OUP in 1993, the book received a great deal of professional interest for its accessible treatment of the rapidly growing field of efficiency and productivity analysis. The first several chapters, providing the background, motivation, and theoretical foundations for this topic, were the most widely recognized. In this tight, direct update, these same editors have compiled over ten years of the most recent research in this changing field, and expanded on those seminal chapters. The book will guide readers from the basic models to the latest, cutting-edge extensions, and will be reinforced by references to classic and current theoretical and applied research. It is intended for professors and graduate students in a variety of fields, ranging from economics to agricultural economics, business administration, management science, and public administration. It should also appeal to public servants and policy makers engaged in business performance analysis or regulation.


Author Notes

Harold O. Fried is Professor of Economics at Union College and David L. and Beverly B. Yunich Chair of Business Ethics. C.A. Knox Lovell is Emeritus Professor of Economics at University of Georgia and Honorary Professor, School of Economics at University of Queensland.


Table of Contents

Harold O. Fried and C. A. Knox Lovell and Shelton S. SchmidtWilliam H. GreeneEmmanuel Thanassoulis and Maria C. S. Portela and Ozren DespićLéopold Simar and Paul W. WilsonRolf Färe and Shawna Grosskopf and Dimitri Margaritis
Contributorsp. xiii
1 Efficiency and Productivityp. 3
2 The Econometric Approach to Efficiency Analysisp. 92
3 Data Envelopment Analysis: The Mathematical Programming Approach to Efficiency Analysisp. 251
4 Statistical Inference in Nonparametric Frontier Models: Recent Developments and Perspectivesp. 421
5 Efficiency and Productivity: Malmquist and Morep. 522
Indexp. 623