Muutke küpsiste eelistusi

Estimating Output-Specific Efficiencies Softcover reprint of the original 1st ed. 2002 [Pehme köide]

  • Formaat: Paperback / softback, 204 pages, kõrgus x laius: 235x155 mm, kaal: 355 g, XIV, 204 p., 1 Paperback / softback
  • Sari: Applied Optimization 61
  • Ilmumisaeg: 26-Nov-2013
  • Kirjastus: Springer-Verlag New York Inc.
  • ISBN-10: 1461348838
  • ISBN-13: 9781461348832
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  • Formaat: Paperback / softback, 204 pages, kõrgus x laius: 235x155 mm, kaal: 355 g, XIV, 204 p., 1 Paperback / softback
  • Sari: Applied Optimization 61
  • Ilmumisaeg: 26-Nov-2013
  • Kirjastus: Springer-Verlag New York Inc.
  • ISBN-10: 1461348838
  • ISBN-13: 9781461348832
The present book is the offspring of my Habilitation, which is the key to academic tenure in Austria. Legal requirements demand that a Ha­ bilitation be published and so only seeing it in print marks the real end of this biographical landmark project. From a scientific perspective I may hope to finally reach a broader audience with this book for a criti­ cal appraisal of the research done. Aside from objectives the book is a reflection of many years of research preceding Habilitation proper in the field of efficiency measurement. Regarding the subject matter the main intention was to fill an important remaining gap in the efficiency analysis literature. Hitherto no technique was available to estimate output-specific efficiencies in a statistically convincing way. This book closes this gap, although some desirable improvements and generalizations of the proposed estimation technique may yet be required, before it will eventually establish as standard tool for efficiency analysis. The likely audience for this book includes professional researchers, who want to enrich their tool set for applied efficiency analysis, as well as students of economics, management science or operations research, in­ tending to learn more about the potentials of rigorously understood efficiency analysis. But also managers or public officials potentially or­ dering efficiency studies should benefit from the book by learning about the extended capabilities of efficiency analysis. Just reading the intro­ duction may change their perception of value for money when it comes to comparative performance measurement.

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Springer Book Archives
Preface xi
Acknowledgments xiii
Part I Motivating the concept
1 Introduction
3(38)
1 Outline of the book
12(5)
2 Related literature
17(10)
3 Motivation
27(3)
4 Geometrical illustration
30(4)
5 Interpreting the difference
34(7)
Part II Operationalizing the concept
2 Technology Estimation
41(22)
1 Statistical structures underlying DEA
42(2)
2 Output-ratios to characterize technology
44(10)
3 DEA bias correction
54(6)
4 Estimator consistency
60(3)
3 Relation To Radial Measures
63(14)
1 Ouput-specific vs. radial efficiencies
64(4)
2 An example that works
68(3)
3 So why not use simple regression analysis?
71(1)
4 A counterexample
72(5)
4 Markov Chain Monte Carlo Analysis
77(6)
1 The Metropolis-Hastings algorithm
79(1)
2 Single-component updates
80(1)
3 Sampling from conjugate distributions
81(2)
5 Data Generating Process
83(6)
1 Target output ratios
83(1)
2 Output specific efficiencies
84(2)
3 Distribution of output vectors
86(3)
6 Identification
89(20)
1 The basic tradeoff in an expectational perspective
90(2)
2 The role of domain observations
92(6)
3 Likelihood surface
98(11)
7 Posterior Distributions
109(18)
1 The prior assumptions
109(1)
2 Sampling
110(5)
3 Scale Invariance
115(12)
Part III Evaluating the concept
8 Estimator Performance
127(26)
1 Sample generation
127(5)
2 Case of DEA-estimated frontier
132(9)
3 Case of known frontier
141(12)
Part IV Putting the concept to work
9 An Application
153(34)
1 A brief review of related literature
154(3)
2 Estimating technology
157(1)
3 The statistical model
158(5)
4 Constructing the Markov chains
163(4)
5 Data
167(5)
6 Results
172(11)
7 Conclusions from the application
183(4)
10 Concluding Remarks
187(10)
1 Summary
187(7)
2 Routes for future research
194(3)
References 197