Benchmarking with DEA, SFA, and R

  • Peter Bogetoft
  • Lars Otto
Part of the International Series in Operations Research & Management Science book series (ISOR, volume 157)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Peter Bogetoft, Lars Otto
    Pages 1-22
  3. Peter Bogetoft, Lars Otto
    Pages 23-55
  4. Peter Bogetoft, Lars Otto
    Pages 57-80
  5. Peter Bogetoft, Lars Otto
    Pages 81-113
  6. Peter Bogetoft, Lars Otto
    Pages 115-153
  7. Peter Bogetoft, Lars Otto
    Pages 155-196
  8. Peter Bogetoft, Lars Otto
    Pages 197-231
  9. Peter Bogetoft, Lars Otto
    Pages 233-262
  10. Peter Bogetoft, Lars Otto
    Pages 263-297
  11. Peter Bogetoft, Lars Otto
    Pages 299-324
  12. Back Matter
    Pages 325-351

About this book

Introduction

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.

Keywords

DEA Data Envelopment Analysis Econometrics Operations Research Production and Operations Management Productivity

Authors and affiliations

  • Peter Bogetoft
    • 1
  • Lars Otto
    • 2
  1. 1., Department of EconomicsCopenhagen Business School CBSFrederiksbergDenmark
  2. 2., Institute of Food and Resource EconomicsUniversity of CopenhagenFrederiksberg CDenmark

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4419-7961-2
  • Copyright Information Springer Science+Business Media, LLC 2011
  • Publisher Name Springer, New York, NY
  • eBook Packages Business and Economics
  • Print ISBN 978-1-4419-7960-5
  • Online ISBN 978-1-4419-7961-2
  • Series Print ISSN 0884-8289
  • About this book