An introduction to efficiency and productivity analysis /
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 t...
| Other Authors: | , , , |
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| Format: | Book |
| Language: | English |
| Published: |
New York, N.Y. :
Springer,
2005
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| Edition: | 2nd. ed. |
| Subjects: |
Table of Contents:
- 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