The Palgrave Handbook of Economic Performance Analysis

<div><div>1. Introduction- William H. Greene and Thijs ten Raa.-&nbsp;2. Micro foundations of earnings differences- Tirthatanmoy Das and Solomon W. Polachek.-&nbsp;3. Performance: The output/input ratio- Thijs ten Raa.-&nbsp;4. R&D, innovation and productivity- Pierre Mohnen.-&nbsp;&nbsp;5. The choice of comparable DMUs and environmental variables- John Ruggiero.- 6. Data Envelopment Analysis with alternative returns to scale- Subhash Ray.-&nbsp;7. Ranking methods within Data Envelopment Analysis- Nicole Adler and Nicola Volta.-&nbsp;8. Distributional forms in Stochastic Frontier Analysis- Alexander D. Stead, Phill Wheat, and William H. Greene.-&nbsp;9. Stochastic frontier models for discrete output variables- Eduardo Fe.-&nbsp;10. Nonparametric statistical analysis of production- Camilla Mastromarco, Leopold Simar, and Paul W. Wilson.-&nbsp;11. Bayesian performance evaluation- Mike G. Tsionas.-&nbsp;12. Common methodological choices in parametric and non-parametric analyses of firms'performance- Luis Orea/Jose Zofio.-&nbsp;13. Pricing inputs and outputs: Market prices versus shadow prices, market power, and welfare analysis- Aditi Bhattacharyya, Levent Kutlu, and Robin C. Sickles.-&nbsp;14. Aggregation of individual efficiency measures and productivity indices- Andreas Mayer and Valentin Zelenyuk.-&nbsp;15. Intermediate inputs and industry studies: Input-Output Analysis- Victoria Shestalova.-&nbsp;16. Modelling environmental adjustments of production technologies: A literature review- K. Hervé Dakpo and Frederic Ang.-&nbsp;17. An overview of issues in measuring the performance of national economies- Anthony Glass, Karligash Kenjegalieva, Robin C Sickles, and Thomas Weyman-Jones.-&nbsp;18. Productivity indexes and national statistics: Theory, methods and challenges- W. Erwin Diewert and Kevin J. Fox.&nbsp;</div></div><div><br></div><div><br></div><div><br></div>