An introduction to efficiency and productivity analysis /

Contributor(s): Timothy J. Coelli...[et al.]Material type: TextTextPublication details: New York : Springer, 2005Edition: 2nd edDescription: xvii, 349 pagesISBN: 9780387242651; 0387242651; 038724266X (softcover)Subject(s): Production (Economic theory) | Production functions (Economic theory) | Industrial productivityDDC classification: 338.06 Online resources: Click here to access online | Click here to access online
Contents:
1.2 Some Informal Definitions 2 -- 1.3 Overview of Methods 6 -- 1.4 Outline of Chapters 7 -- 1.5 What is Your Economics Background? 9 -- 2 Review of Production Economics 11 -- 2.2 Production Functions 12 -- 2.3 Transformation Functions 20 -- 2.4 Cost Functions 21 -- 2.5 Revenue Functions 31 -- 2.6 Profit Functions 32 -- 3 Productivity and Efficiency Measurement Concepts 41 -- 3.2 Set Theoretic Representation of a Production Technology 42 -- 3.3 Output and Input Distance Functions 47 -- 3.4 Efficiency Measurement using Distance, Cost and Revenue Functions 51 -- 3.5 Measuring Productivity and Productivity Change 61 -- 4 Index Numbers and Productivity Measurement 85 -- 4.2 Conceptual Framework and Notation 86 -- 4.3 Formulae for Price Index Numbers 88 -- 4.4 Quantity Index Numbers 90 -- 4.5 Properties of Index Numbers: The Test Approach 95 -- 4.6 The Economic-Theoretic Approach 98 -- 4.7 A Simple Numerical Example 113 -- 4.8 Transitivity in Multilateral Comparisons 116 -- 4.9 TFP Change Measurement Using Index Numbers 118 -- 4.10 Empirical Application: Australian National Railways 127 -- 5 Data and Measurement Issues 133 -- 5.2 Outputs 135 -- 5.3 Inputs 141 -- 5.4 Prices 153 -- 5.5 Comparisons over time 154 -- 5.6 Output aggregates for sectoral and economy-wide comparisons 156 -- 5.7 Cross-country comparisons of productivity 157 -- 5.8 Data editing and errors 159 -- 6 Data Envelopment Analysis 161 -- 6.2 The Constant Returns to Scale DEA Model 162 -- 6.3 The Variable Returns to Scale Model and Scale Efficiencies 172 -- 6.4 Input and Output Orientations 180 -- 7 Additional Topics on Data Envelopment Analysis 183 -- 7.2 Price Information and Allocative Efficiency 183 -- 7.3 Non-Discretionary Variables 188 -- 7.4 Adjusting for the Environment 190 -- 7.5 Input Congestion 195 -- 7.6 Treatment of Slacks 198 -- 7.7 Additional Methods 199 -- 7.8 Empirical Application: Australian Universities 203 -- 8 Econometric Estimation of Production Technologies 209 -- 8.2 Production, Cost and Profit Functions 210 -- 8.3 Single Equation Estimation 214 -- 8.4 Imposing Equality Constraints 220 -- 8.5 Hypothesis Testing 223 -- 8.6 Systems Estimation 225 -- 8.7 Inequality Constraints 227 -- 8.8 The Bayesian Approach 231 -- 8.9 Simulation Methods 234 -- 9 Stochastic Frontier Analysis 241 -- 9.2 The Stochastic Production Frontier 242 -- 9.3 Estimating the Parameters 245 -- 9.4 Predicting Technical Efficiency 254 -- 9.5 Hypothesis Testing 258 -- 10 Additional Topics on Stochastic Frontier Analysis 263 -- 10.2 Distance Functions 264 -- 10.3 Cost Frontiers 266 -- 10.4 Decomposing Cost Efficiency 269 -- 10.5 Scale Efficiency 272 -- 10.6 Panel Data Models 275 -- 10.7 Accounting for the Production Environment 281 -- 10.8 The Bayesian Approach 284 -- 11 The Calculation and Decomposition of Productivity Change Using Frontier Methods 289 -- 11.2 The Malmquist TFP Index and Panel Data 291 -- 11.3 Calculation using DEA Frontiers 294 -- 11.4 Calculation using SFA Frontiers 300 -- 11.5 An Empirical Application 302 -- 12.1 Summary of Methods 311 -- 12.2 Relative Merits of the Methods 312 -- 12.3 Some Final Points 313 -- Appendix 1 Computer Software 317 -- Appendix 2 Philippines Rice Data 325.
Summary: "The second edition of An Introduction to Efficiency and Productivity Analysis is designed to be a general introduction for those who wish to study efficiency and productivity analysis. The book provides an accessible, well-written introduction to the four principal methods involved: econometric estimation of average response models; index numbers, data envelopment analysis (DEA); and stochastic frontier analysis (SFA). For each method, a detailed introduction to the basic concepts is presented, numerical examples are provided, and some of the more important extensions to the basic methods are discussed. Of special interest is the systematic use of detailed empirical applications using real-world data throughout the book."
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
Reference Books Reference Books Main Library
Reference 		Reference 338.06 INT (Browse shelf(Opens below)) Available 015443
Total holds: 0

Rev. ed. of: An introduction to efficiency and productivity analysis / by Tim Coelli. c1998.

1.2 Some Informal Definitions 2 --
1.3 Overview of Methods 6 --
1.4 Outline of Chapters 7 --
1.5 What is Your Economics Background? 9 --
2 Review of Production Economics 11 --
2.2 Production Functions 12 --
2.3 Transformation Functions 20 --
2.4 Cost Functions 21 --
2.5 Revenue Functions 31 --
2.6 Profit Functions 32 --
3 Productivity and Efficiency Measurement Concepts 41 --
3.2 Set Theoretic Representation of a Production Technology 42 --
3.3 Output and Input Distance Functions 47 --
3.4 Efficiency Measurement using Distance, Cost and Revenue Functions 51 --
3.5 Measuring Productivity and Productivity Change 61 --
4 Index Numbers and Productivity Measurement 85 --
4.2 Conceptual Framework and Notation 86 --
4.3 Formulae for Price Index Numbers 88 --
4.4 Quantity Index Numbers 90 --
4.5 Properties of Index Numbers: The Test Approach 95 --
4.6 The Economic-Theoretic Approach 98 --
4.7 A Simple Numerical Example 113 --
4.8 Transitivity in Multilateral Comparisons 116 --
4.9 TFP Change Measurement Using Index Numbers 118 --
4.10 Empirical Application: Australian National Railways 127 --
5 Data and Measurement Issues 133 --
5.2 Outputs 135 --
5.3 Inputs 141 --
5.4 Prices 153 --
5.5 Comparisons over time 154 --
5.6 Output aggregates for sectoral and economy-wide comparisons 156 --
5.7 Cross-country comparisons of productivity 157 --
5.8 Data editing and errors 159 --
6 Data Envelopment Analysis 161 --
6.2 The Constant Returns to Scale DEA Model 162 --
6.3 The Variable Returns to Scale Model and Scale Efficiencies 172 --
6.4 Input and Output Orientations 180 --
7 Additional Topics on Data Envelopment Analysis 183 --
7.2 Price Information and Allocative Efficiency 183 --
7.3 Non-Discretionary Variables 188 --
7.4 Adjusting for the Environment 190 --
7.5 Input Congestion 195 --
7.6 Treatment of Slacks 198 --
7.7 Additional Methods 199 --
7.8 Empirical Application: Australian Universities 203 --
8 Econometric Estimation of Production Technologies 209 --
8.2 Production, Cost and Profit Functions 210 --
8.3 Single Equation Estimation 214 --
8.4 Imposing Equality Constraints 220 --
8.5 Hypothesis Testing 223 --
8.6 Systems Estimation 225 --
8.7 Inequality Constraints 227 --
8.8 The Bayesian Approach 231 --
8.9 Simulation Methods 234 --
9 Stochastic Frontier Analysis 241 --
9.2 The Stochastic Production Frontier 242 --
9.3 Estimating the Parameters 245 --
9.4 Predicting Technical Efficiency 254 --
9.5 Hypothesis Testing 258 --
10 Additional Topics on Stochastic Frontier Analysis 263 --
10.2 Distance Functions 264 --
10.3 Cost Frontiers 266 --
10.4 Decomposing Cost Efficiency 269 --
10.5 Scale Efficiency 272 --
10.6 Panel Data Models 275 --
10.7 Accounting for the Production Environment 281 --
10.8 The Bayesian Approach 284 --
11 The Calculation and Decomposition of Productivity Change Using Frontier Methods 289 --
11.2 The Malmquist TFP Index and Panel Data 291 --
11.3 Calculation using DEA Frontiers 294 --
11.4 Calculation using SFA Frontiers 300 --
11.5 An Empirical Application 302 --
12.1 Summary of Methods 311 --
12.2 Relative Merits of the Methods 312 --
12.3 Some Final Points 313 --
Appendix 1 Computer Software 317 --
Appendix 2 Philippines Rice Data 325.


"The second edition of An Introduction to Efficiency and Productivity Analysis is designed to be a general introduction for those who wish to study efficiency and productivity analysis. The book provides an accessible, well-written introduction to the four principal methods involved: econometric estimation of average response models; index numbers, data envelopment analysis (DEA); and stochastic frontier analysis (SFA). For each method, a detailed introduction to the basic concepts is presented, numerical examples are provided, and some of the more important extensions to the basic methods are discussed. Of special interest is the systematic use of detailed empirical applications using real-world data throughout the book."

There are no comments on this title.

to post a comment.

© University of Vavuniya

---