Benchmarking with DEA, SFA, and R
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Benchmarking with DEA, SFA, and R

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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.show more

Product details

  • Hardback | 352 pages
  • 162.56 x 236.22 x 30.48mm | 635.03g
  • Springer-Verlag New York Inc.
  • New York, NY, United States
  • English
  • 2011 ed.
  • 53 Tables, black and white; XVI, 352 p.
  • 1441979603
  • 9781441979605
  • 1,090,872

Review quote

From the reviews:"Benchmarking with DEA, SFA, and R covers data envelopment analysis (DEA) and stochastic frontier analysis (SFA) ... . Although more advanced readers ... will gain more from reading this book, it contains something for all who are interested in the principles underlying DEA and SFA and who want to know how to use these methods ... . the book is appropriate for readers who have a fairly good foundation in the methods of DEA and SFA and wish to raise their level of understanding." (Emmanuel Thanassoulis, Interfaces, Vol. 42 (3), May-June, 2012)show more

Back cover copy

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.show more

Table of contents

1. Introduction to Benchmarking.- 2. Efficiency Measures.- 3. Production Models and Technology.- 4. Data Envelopment Analysis DEA.- 5. Additional Topics in DEA.- 6. Statistical Analysis in DEA.- 7. Stochastic Frontier Analysis SFA.- 8. Additional Topics in SFA.- 9. Merger Analysis.- 10. Regulation and Contracting.- Appendix. Getting Started with R: A Quick Introduction.show more

Review Text

From the reviews: "Benchmarking with DEA, SFA, and R covers data envelopment analysis (DEA) and stochastic frontier analysis (SFA) ... . Although more advanced readers ... will gain more from reading this book, it contains something for all who are interested in the principles underlying DEA and SFA and who want to know how to use these methods ... . the book is appropriate for readers who have a fairly good foundation in the methods of DEA and SFA and wish to raise their level of understanding." (Emmanuel Thanassoulis, Interfaces, Vol. 42 (3), May-June, 2012)show more

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