Benchmarking with DEA, SFA, and R / Peter Bogetoft, Lars Otto.

Format:

Book

Author/Creator:

Bogetoft, Peter.

Contributor:

Otto, Lars.

Series:

International series in operations research & management science ; 157.

International series in operations research & management science, 0884-8289 ; 157

Language:

English

Subjects (All):

Benchmarking (Management).

Data envelopment analysis.

Physical Description:

1 online resource (361 p.)

Edition:

1st ed. 2011.

Place of Publication:

Springer Nature 2010

Language Note:

English

Summary:

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.

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.

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

ISBN:

9786612971624

9781282971622

128297162X

9781441979612

1441979611

OCLC:

695386913