000 04004nam a22005175i 4500
001 978-1-4419-7961-2
003 DE-He213
005 20140220083726.0
007 cr nn 008mamaa
008 101119s2011 xxu| s |||| 0|eng d
020 _a9781441979612
_9978-1-4419-7961-2
024 7 _a10.1007/978-1-4419-7961-2
_2doi
050 4 _aHD30.23
072 7 _aKJT
_2bicssc
072 7 _aKJMD
_2bicssc
072 7 _aBUS049000
_2bisacsh
082 0 4 _a658.40301
_223
100 1 _aBogetoft, Peter.
_eauthor.
245 1 0 _aBenchmarking with DEA, SFA, and R
_h[electronic resource] /
_cby Peter Bogetoft, Lars Otto.
264 1 _aNew York, NY :
_bSpringer New York,
_c2011.
300 _aXVI, 352 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aInternational Series in Operations Research & Management Science,
_x0884-8289 ;
_v157
505 0 _a1. 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.
520 _aThis 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.
650 0 _aEconomics.
650 0 _aOperations research.
650 0 _aIndustrial engineering.
650 0 _aEconometrics.
650 1 4 _aEconomics/Management Science.
650 2 4 _aOperations Research/Decision Theory.
650 2 4 _aEconometrics.
650 2 4 _aOperations Research, Mathematical Programming.
650 2 4 _aIndustrial and Production Engineering.
700 1 _aOtto, Lars.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781441979605
830 0 _aInternational Series in Operations Research & Management Science,
_x0884-8289 ;
_v157
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4419-7961-2
912 _aZDB-2-SBE
999 _c105900
_d105900