An Introduction to Efficiency and Productivity Analysis
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An Introduction to Efficiency and Productivity Analysis

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Description

Softcover version of the second edition Hardcover.
Incorporates a new author, Dr. Chris O'Donnell, who brings considerable expertise to the project in the area of performance measurement.
Numerous topics are being added and more applications using real data, as well as exercises at the end of the chapters.
Data sets, computer codes and software will be available for download from the web to accompany the volume.
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Product details

  • Paperback | 349 pages
  • 157.48 x 233.68 x 22.86mm | 521.63g
  • Springer-Verlag New York Inc.
  • New York, NY, United States
  • English
  • Revised
  • 2nd ed. 2005
  • 58 Tables, black and white; XVII, 349 p.
  • 038724266X
  • 9780387242668
  • 400,903

Review quote

From the reviews of the second edition:

"The authors introduce the four major methods economists use to analyze efficiency and productivity: econometric estimation of average response, index numbers, data envelopment analysis (DEA), and stochastic frontier analysis. They intend the book primarily as a text for students in economics and also for students in other disciplines, such as business administration. ... On the whole, I rate the book as excellent ... ." (Jamshed A. Modi, Interfaces, Vol. 37 (2), 2007)
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Table of contents

List of Figures
List of Tables
Preface

1: INTRODUCTION
1.1 Introduction
1.2 Some Informal Definitions
1.3 Overview of Methods
1.4 Outline of Chapters
1.5 What is Your Economics Background?

2: REVIEW OF PRODUCTION ECONOMICS
2.1 Introduction
2.2 Production Functions
2.3 Transformation Functions
2.4 Cost Functions
2.5 Revenue Functions
2.6 Profit Functions
2.7 Conclusions

3: PRODUCTIVITY AND EFFICIENCY MEASUREMENT CONCEPTS
3.1 Introduction
3.2 Set Theoretic Representation of a Production Technology
3.3 Output and Input Distance Functions
3.4 Efficiency Measurement using Distance, Cost and Revenue Functions
3.5 Measuring Productivity and Productivity Change
3.6 Conclusions

4: INDEX NUMBERS AND PRODUCTIVITY MEASUREMENT
4.1 Introduction
4.2 Conceptual Framework and Notation
4.3 Formulae for Price Index Numbers
4.4 Quantity Index Numbers
4.5 Properties of Index Numbers: The Test Approach
4.6 The Economic-Theoretic Approach
4.7 A Simple Numerical Example
4.8 Tansitivity in Multilateral Comparisons
4.9 TFP Change Measurement Using Index Numbers
4.10 Empirical Application: Australian National Railways
4.11 Conclusions

5: DATA AND MEASUREMENT ISSUES
5.1 Introduction
5.2 Outputs
5.3 Inputs
5.4 Prices
5.5 Comparisons over time
5.6 Output aggregates for sectoral and economy-wide comparisons
5.7 Cross-country comparisons of productivity
5.8 Data editing and errors
5.9 Conclusions

6: DATA ENVELOPMENT ANALYSIS
6.1 Introduction
6.2 The Constant Returns to Scale DEA Model
6.3 The Variable Returns to Scale Model and Scale Efficiencies
6.4 Input and Output Orientations
6.5 Conclusions

7: ADDITIONAL TOPICS ON DATA ENVELOPMENT ANALYSTS
7.1 Introduction
7.2 Price Information and Allocative Efficiency
7.3 Non-Discretionary Variables
7.4 Adjusting for the Environment
7.5 Input Congestion
7.6 Treatment of Slacks
7.7 Additional Methods
7.8 Empirical Application: Australian Universities
7.9 Conclusions

8: ECONOMETRIC ESTIMATION OF PRODUCTION TECHNOLOGIES
8.1 Introduction
8.2 Production, Cost and Profit Functions
8.3 Single Equation Estimation
8.4 Imposing Equality Constraints
8.5 Hypothesis Testing
8.6 Systems Estimation
8.7 Inequality Constraints
8.8 The Bayesian Approach
8.9 Simulation Methods
8.10 Conclusion

9: STOCHASTIC FRONTIER ANALYSIS
9.1 Introduction
9.2 The Stochastic Production Frontier
9.3 Estimating the Parameters
9.4 Predicting Technical Efficiency
9.5 Hypothesis Testing
9.6 Conclusions

10: ADDITIONAL TOPICS ON STOCHASTIC FRONTIER ANALYSIS
10.1 Introduction
10.2 Distance Functions
10.3 Cost Frontiers
10.4 Decomposing Cost Efficiency
10.5 Scale Efficiency
10.6 Panel Data Models
10.7 Accounting for the Production Environment
10.8 The Bayesian Approach
10.9 Conclusions

11: THE CALCULATION AND DECOMPOSITION OF PRODUCTIVITY CHANGE USING FRONTIER METHODS
11.1 Introduction
11.2 The Malmquist TFP Index and Panel Data
11.3 Calculation using DEA Frontiers
11.4 Calculation using SFA Frontiers
11.5 An Empirical Application
11.6 Conclusions

12: CONCLUSIONS
12.1 Summary of Methods
12.2 Relative Merits of the Methods
12.3 Some Final Points
Appendix 1: Computer Software
Appendix 2: Philippines Rice Data
References
Author Index
Subject Index
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Review Text

From the reviews of the second edition:

"The authors introduce the four major methods economists use to analyze efficiency and productivity: econometric estimation of average response, index numbers, data envelopment analysis (DEA), and stochastic frontier analysis. They intend the book primarily as a text for students in economics and also for students in other disciplines, such as business administration. ... On the whole, I rate the book as excellent ... ." (Jamshed A. Modi, Interfaces, Vol. 37 (2), 2007)
show more

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