Advanced Robust and Nonparametric Methods in Efficiency Analysis: Methodology and Applications: Studies in Productivity and Efficiency
Autor Cinzia Daraio, Léopold Simaren Limba Engleză Hardback – 26 mar 2007
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Specificații
ISBN-13: 9780387351551
ISBN-10: 0387351558
Pagini: 248
Ilustrații: XXII, 248 p.
Dimensiuni: 155 x 235 x 16 mm
Greutate: 0.57 kg
Ediția:2007
Editura: Springer Us
Colecția Springer
Seria Studies in Productivity and Efficiency
Locul publicării:New York, NY, United States
ISBN-10: 0387351558
Pagini: 248
Ilustrații: XXII, 248 p.
Dimensiuni: 155 x 235 x 16 mm
Greutate: 0.57 kg
Ediția:2007
Editura: Springer Us
Colecția Springer
Seria Studies in Productivity and Efficiency
Locul publicării:New York, NY, United States
Public țintă
ResearchCuprins
Methodology.- The Measurement of Efficiency.- Statistical Inference in Nonparametric Frontier Estimation.- Nonparametric Robust Estimators: Partial Frontiers.- Conditional Measures Of Efficiency.- Applications.- Economies of Scale, Scope and Experience in the Italian Motor-Vehicle Sector.- Age, Scale and Concentration Effects in a Public Research System.- Exploring the Effects of Manager Tenure, Fund Age and their Interaction.- Conclusions.
Recenzii
From the reviews:
"The main objective of this book is to provide a systematic and comprehensive treatment of recent development in efficiency analysis. … The book contains of two parts consisting of 9 Chapters. … Book also contains an impressive list of 347 references. … This book will be useful for researchers with a background in operations research or/and management science." (Anatoliy Swishchuk, Zentralblatt MATH, Vol. 1149, 2008)
"The main objective of this book is to provide a systematic and comprehensive treatment of recent development in efficiency analysis. … The book contains of two parts consisting of 9 Chapters. … Book also contains an impressive list of 347 references. … This book will be useful for researchers with a background in operations research or/and management science." (Anatoliy Swishchuk, Zentralblatt MATH, Vol. 1149, 2008)
Textul de pe ultima copertă
Providing a systematic and comprehensive treatment of recent developments in efficiency analysis, this readable book makes available an intuitive yet rigorous presentation of advanced nonparametric and robust methods. This flexible toolbox can be used in theories based on the neoclassical theory of production and its alternatives, including evolutionary theories. The methods are complemented by empirical analysis of three different economic fields: scientific research, mutual funds industry and the insurance sector. The research demonstrates the utility of the toolbox for a wide range of economic issues, including the analysis of economies of scale and scope, dynamics of age and agglomeration effects, trade-offs in production and service activities, and explanations of efficiency differentials. Of interest to applied economists broadly, this book will also be of interest to those focused on Operations Research and/or Management Science.
"Léopold Simar is a pioneer. For over a decade he and a succession of talented co-authors have been addressing the shortcomings of the increasingly popular field of nonparametric frontier analysis for producer performance evaluation. The shortcomings of nonparametric frontier models include their deterministic and non-statistical nature, their sensitivity to outliers and extreme values, the absence of parameters that would enhance economic interpretation, and the lack of suitable techniques for incorporating exogenous influences on performance. This book, written with Cinzia Daraio, develops theoretical and empirical techniques for dealing with each. The problems are difficult and the analysis is advanced, but Simar and Daraio have delivered on their claim to have written a book that is both rigorous and readable. This original contribution will change the field." -C. A. Knox Lovell
Léopold Simar is an established star in the productivity/efficiency field. He is like a fine vintage wine– a pleasure to drink today. Cinzia Daraio is a rising star. She is like a new wine from an established vineyard – excellent today, even better tomorrow. Cinzia and Leopold combine forces in this book. The result is a treat to drink, worthy of a feast. It is a sumptuous presentation of new research that embeds the nonparametric approach to efficiency measurement into a statistical framework. Enjoy" -Harold O. Fried
"Léopold Simar is a pioneer. For over a decade he and a succession of talented co-authors have been addressing the shortcomings of the increasingly popular field of nonparametric frontier analysis for producer performance evaluation. The shortcomings of nonparametric frontier models include their deterministic and non-statistical nature, their sensitivity to outliers and extreme values, the absence of parameters that would enhance economic interpretation, and the lack of suitable techniques for incorporating exogenous influences on performance. This book, written with Cinzia Daraio, develops theoretical and empirical techniques for dealing with each. The problems are difficult and the analysis is advanced, but Simar and Daraio have delivered on their claim to have written a book that is both rigorous and readable. This original contribution will change the field." -C. A. Knox Lovell
Léopold Simar is an established star in the productivity/efficiency field. He is like a fine vintage wine– a pleasure to drink today. Cinzia Daraio is a rising star. She is like a new wine from an established vineyard – excellent today, even better tomorrow. Cinzia and Leopold combine forces in this book. The result is a treat to drink, worthy of a feast. It is a sumptuous presentation of new research that embeds the nonparametric approach to efficiency measurement into a statistical framework. Enjoy" -Harold O. Fried
Caracteristici
Designed for applied economists who have an interest in the advantages of traditional nonparametric methods (DEA/FDH) for efficiency analysis, but are sceptical about adopting them because of the drawbacks they present A complete and up to date presentation of the advances made in nonparametric frontier analysis able to overcome most of the drawbacks of traditional methods Includes supplementary material: sn.pub/extras