Stochastic Frontier Analysis

Subal C. (State University of New York, Binghamton) Kumbhakar, C. A. Knox (University of Georgia) Lovell

ISBN 10: 0521481848 / ISBN 13: 9780521481847

Editore: Cambridge University Press, 2000

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Zustand: Sehr gut | Seiten: 344 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Codice articolo 1317448/2

Dati bibliografici

• Titolo: Stochastic Frontier Analysis
• Editore: Cambridge University Press
• Data di pubblicazione: 2000
• Lingua: Inglese
• ISBN 10: 0521481848
• ISBN 13: 9780521481847
• Rilegatura: Rilegato
• Condizione: Sehr gut
• Cataloghi dei venditori:
  • Bücher

Descrizione articolo

Riassunto

This book develops econometric techniques for the estimation of production, cost and profit frontiers.

Recensione

'Stochastic Frontier Analysis is an excellent, up-to-date and complete summary of both the theory and techniques used in frontier production, cost and profit analysis. The authors are two of the leading researchers in the field. Students and practitioners in this area will find this book to be the only reference source they need.' William H. Greene, Stern School of Business, New York University

'Every so often a book is written that pulls together a large subject matter in an accessible way, covering both theoretical and applied developments. This is such a book. The contribution of this volume is that this large but complex literature is presented in a manner accessible to the general applied economist. It is must reading for anyone who measures firm production, cost functions, or profit functions. Those measuring productivity change will gain new enlightenment on how to better approach this important measurement problem. Furthermore, the book could be used as a text or supplementary text in an advanced course in production, productivity change, or econometrics. It is well worth the investment and will make a valuable and useful addition to one's library.' James L. Searle, Jr, Journal of Economic Literature

'This book is well written, comprehensive in its breadth and depth of coverage, and authoritative in its scholarship. It is certainly going to be the standard reference on stochastic frontier models for the foreseeable future.' Peter Schmidt, The Economic Journal

'This is the best book that exists on the topic of stochastic-frontier analysis. It is clearly an excellent book that concisely reports the state of the art of this approach to efficiency analysis. This is a well-written reference book for researchers in this field and for research students considering using stochastic-frontier analysis. Libraries should carry a copy. As the first book devoted exclusively to this topic, the authors have set a very high standard.' Kevin J. Fox, Economica

From the hardback: 'Stochastic Frontier Analysis is a complete textbook on stochastic frontier models. It deals with stochastic frontier production, cost and profit functions. Models for cross-sectional and panel data are presented and discussed. The analysis of technical change and inefficiency change with panel data is also discussed in detail. The authors are highly qualified to produce such a comprehensive book on stochastic frontiers. Lovell was one of the authors of the seminal paper on the stochastic frontier production function model. He has been undertaking research on many aspects of parametric and non-parametric frontier modelling and efficiency measurement for over twenty-five years. He is a 'pioneer' in this important research area. Kumbhakar has written outstanding papers on stochastic frontier models, both of a theoretical and applied nature, over the last 12 or more years. It will surely be a helpful and widely-cited book for researchers in the field.' George E. Battese, University of New England, Australia

'It is fascinating to see what has been accomplished in the field of stochastic frontier analysis since its beginning in 1977. The authors provide a luvidly written review of all the developments that have taken place in the past quarter of a century. Although hardly any publication has escaped their attention, Kumbhakar and Lovell succeed in keeping the reader focused on the grand lines of research. Well-rooted in recent history, this book will stimulate further research into measurement and explanation of efficiency and productivity (change). I expect this book to be at hand for a long time.' Bert M. Balk, Statistics Netherlands