Estimating Output-Specific Efficiencies

1. Front Matter

   Pages i-xiii

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2. Motivating the Concept

   1. Front Matter

      Pages 1-1

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   2. Introduction

      • Dieter Gstach

      Pages 3-38

3. Operationalizing the Concept

   1. Front Matter

      Pages 39-39

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   2. Technology Estimation

      • Dieter Gstach

      Pages 41-61

   3. Statistical Relation to Radial Efficiency Measures

      • Dieter Gstach

      Pages 63-76

   4. Markov Chain Monte Carlo Analysis

      • Dieter Gstach

      Pages 77-82

   5. Data Generating Process with Output Specific Efficiencies

      • Dieter Gstach

      Pages 83-87

   6. Identification

      • Dieter Gstach

      Pages 89-107

   7. Deriving Posterior Distributions

      • Dieter Gstach

      Pages 109-123

4. Evaluating the Concept

   1. Front Matter

      Pages 125-125

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   2. Monte Carlo Analysis of Estimator Performance

      • Dieter Gstach

      Pages 127-150

5. Putting the Concept to Work

   1. Front Matter

      Pages 151-151

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   2. An Application: Quality vs. Quantity in UK Private Secondary Education

      • Dieter Gstach

      Pages 153-185

   3. Concluding Remarks

      • Dieter Gstach

      Pages 187-195

6. Back Matter

   Pages 197-208

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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.

• Markov Chain
• Monte Carlo Simulation
• calculus
• simulation

• Vienna University of Economics, Austria

  Dieter Gstach

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