Benchmarking with DEA, SFA, and R

Benchmarking with DEA, SFA, and R
Author :
Publisher : Springer Science & Business Media
Total Pages : 362
Release :
ISBN-10 : 9781441979612
ISBN-13 : 1441979611
Rating : 4/5 (611 Downloads)

Book Synopsis Benchmarking with DEA, SFA, and R by : Peter Bogetoft

Download or read book Benchmarking with DEA, SFA, and R written by Peter Bogetoft and published by Springer Science & Business Media. This book was released on 2010-11-19 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers recent advances in efficiency evaluations, most notably Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA) methods. It introduces the underlying theories, shows how to make the relevant calculations and discusses applications. The aim is to make the reader aware of the pros and cons of the different methods and to show how to use these methods in both standard and non-standard cases. Several software packages have been developed to solve some of the most common DEA and SFA models. This book relies on R, a free, open source software environment for statistical computing and graphics. This enables the reader to solve not only standard problems, but also many other problem variants. Using R, one can focus on understanding the context and developing a good model. One is not restricted to predefined model variants and to a one-size-fits-all approach. To facilitate the use of R, the authors have developed an R package called Benchmarking, which implements the main methods within both DEA and SFA. The book uses mathematical formulations of models and assumptions, but it de-emphasizes the formal proofs - in part by placing them in appendices -- or by referring to the original sources. Moreover, the book emphasizes the usage of the theories and the interpretations of the mathematical formulations. It includes a series of small examples, graphical illustrations, simple extensions and questions to think about. Also, it combines the formal models with less formal economic and organizational thinking. Last but not least it discusses some larger applications with significant practical impacts, including the design of benchmarking-based regulations of energy companies in different European countries, and the development of merger control programs for competition authorities.


Benchmarking with DEA, SFA, and R Related Books

Benchmarking with DEA, SFA, and R
Language: en
Pages: 362
Authors: Peter Bogetoft
Categories: Business & Economics
Type: BOOK - Published: 2010-11-19 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This book covers recent advances in efficiency evaluations, most notably Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA) methods. It intr
Handbook on Data Envelopment Analysis
Language: en
Pages: 513
Authors: William W. Cooper
Categories: Business & Economics
Type: BOOK - Published: 2011-08-23 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This handbook covers DEA topics that are extensively used and solidly based. The purpose of the handbook is to (1) describe and elucidate the state of the field
Productivity and Efficiency Analysis
Language: en
Pages: 333
Authors: William H. Greene
Categories: Business & Economics
Type: BOOK - Published: 2015-12-29 - Publisher: Springer

DOWNLOAD EBOOK

This proceedings volume examines the state-of-the art of productivity and efficiency analysis and adds to the existing research by bringing together a selection
Advances in Efficiency and Productivity
Language: en
Pages: 411
Authors: Juan Aparicio
Categories: Business & Economics
Type: BOOK - Published: 2016-12-23 - Publisher: Springer

DOWNLOAD EBOOK

This book grows from a conference on the state of the art and recent advances in Efficiency and Productivity. Papers were commissioned from leading researchers
Network Data Envelopment Analysis
Language: en
Pages: 447
Authors: Chiang Kao
Categories: Business & Economics
Type: BOOK - Published: 2016-08-23 - Publisher: Springer

DOWNLOAD EBOOK

This book presents the underlying theory, model development, and applications of network Data Envelopment Analysis (DEA) in a systematic way. The field of netwo