Christopher J. O'Donnell

Productivity and Efficiency Analysis (eBook, PDF)

An Economic Approach to Measuring and Explaining Managerial Performance

• Format: PDF

Produktbeschreibung

Provides the most comprehensive guide to applied productivity and efficiency analysis currently available Explains how knowledge of production technologies, market structure and firm behaviour can be used to inform construction of meaningful price and productivity indexesShows how econometric methods can be used to decompose measures of productivity change into measures of technical change, environmental change, and different types of efficiency change

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 418
• Erscheinungstermin: 12. Dezember 2018
• Englisch
• ISBN-13: 9789811329845
• Artikelnr.: 56793053

Autorenporträt

Christopher J. O'Donnell is a Professor in Econometrics at the University of Queensland. He is a co-editor of the Journal of Productivity Analysis, an associate editor of Empirical Economics, and a Distinguished Fellow of the Australian Agricultural and Resource Economics Society. His research interests focus on mathematical programming and statistical methods for measuring and explaining productivity and efficiency change. His work has been published in leading economics and econometrics journals, including the American Journal of Agricultural Economics, the Journal of Econometrics, the Journal of Applied Econometrics, and Econometric Reviews. He has provided in-house training and/or been a consultant for organisations including the World Bank, the International Rice Research Institute, the Australian Energy Regulator, the NSW Independent Pricing and Regulatory Tribunal, and the Australian Independent Hospital Pricing Authority.

Inhaltsangabe

Chapter 1. Overview.- Chapter 2. Production Technologies.- Chapter 3. Measures of Productivity Change.- Chapter 4. Managerial Behaviour.- Chapter 5. Measures of Efficiency.- Chapter 6. Piecewise Frontier Analysis.- Chapter 7. Deterministic Frontier Analysis.- Chapter 8. Stochastic Frontier Analysis.- Chapter 9. Practical Considerations.