This Handbook takes an econometric approach to the foundations of economic performance analysis. The focus is on the measurement of efficiency, productivity, growth and performance. These concepts are commonly measured residually and difficult to quantify in practice. In real-life applications, efficiency and productivity estimates are often quite sensitive to the models used in the performance assessment and the methodological approaches adopted by the analysis.
The Palgrave Handbook of Performance Analysis
discusses the two basic techniques of performance measurement - deterministic benchmarking and stochastic benchmarking - in detail, and addresses the statistical techniques that connect them. All chapters include applications and explore topics ranging from the output/input ratio to productivity indexes and national statistics.
Edition
Language
Place of publication
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
20 s/w Abbildungen, 17 farbige Abbildungen
XIII, 759 p. 37 illus., 17 illus. in color.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 47 mm
Weight
ISBN-13
978-3-030-23726-4 (9783030237264)
DOI
10.1007/978-3-030-23727-1
Schweitzer Classification
Thijs ten Raa
is Lecturer in Economics at Utrecht University in the Netherlands. Professor ten Raa's primary research area is economic theory. He has published twelve books, including the acclaimed
The Economics of Benchmarking
(Palgrave Macmillan, 2009) and the textbook
Microeconomics
(Palgrave Macmillan, 2013). He has published numerous articles in publications including
Economics Letters, Journal of Economic Theory, Review of Economics and Statistics, International Economic Review, Review of Income and Wealth, Journal of Productivity Analysis, Journal of Banking and Finance, Journal of Economic Behavior and Organization
and
Oxford Economic Papers.
William Greene
is Professor of Economics at New York University Stern School of Business where he teaches courses in econometrics and statistics. Professor Greene's primary research areas include econometrics and applied microeconomics; productivity andproduction economics, health econometrics, technical change and the entertainment industry. He has published numerous articles in publications including
Econometrica, Economics Letters, American Economic Review, Journal of Econometrics, Journal of Economic Education, Economics Letters, Journal of Economic Perspectives, Review of Economics and Statistics
and
Journal of Political Economy
. He is currently Editor-in-Chief for
Journal of Productivity Analysis
.
1. Introduction- William H. Greene and Thijs ten Raa.- 2. Micro foundations of earnings differences- Tirthatanmoy Das and Solomon W. Polachek.- 3. Performance: The output/input ratio- Thijs ten Raa.- 4. R&D, innovation and productivity- Pierre Mohnen.- 5. The choice of comparable DMUs and environmental variables- John Ruggiero.- 6. Data Envelopment Analysis with alternative returns to scale- Subhash Ray.- 7. Ranking methods within Data Envelopment Analysis- Nicole Adler and Nicola Volta.- 8. Distributional forms in Stochastic Frontier Analysis- Alexander D. Stead, Phill Wheat, and William H. Greene.- 9. Stochastic frontier models for discrete output variables- Eduardo Fe.- 10. Nonparametric statistical analysis of production- Camilla Mastromarco, Leopold Simar, and Paul W. Wilson.- 11. Bayesian performance evaluation- Mike G. Tsionas.- 12. Common methodological choices in parametric and non-parametric analyses of firms'performance- Luis Orea/Jose Zofio.- 13. Pricing inputs and outputs: Market prices versus shadow prices, market power, and welfare analysis- Aditi Bhattacharyya, Levent Kutlu, and Robin C. Sickles.- 14. Aggregation of individual efficiency measures and productivity indices- Andreas Mayer and Valentin Zelenyuk.- 15. Intermediate inputs and industry studies: Input-Output Analysis- Victoria Shestalova.- 16. Modelling environmental adjustments of production technologies: A literature review- K. Hervé Dakpo and Frederic Ang.- 17. An overview of issues in measuring the performance of national economies- Anthony Glass, Karligash Kenjegalieva, Robin C Sickles, and Thomas Weyman-Jones.- 18. Productivity indexes and national statistics: Theory, methods and challenges- W. Erwin Diewert and Kevin J. Fox.
