E-Book, Englisch, Band 692, 264 Seiten, eBook
Theory and Empirical Applications
E-Book, Englisch, Band 692, 264 Seiten, eBook
Reihe: Lecture Notes in Economics and Mathematical Systems
ISBN: 978-3-031-29583-6
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: Wasserzeichen (»Systemvoraussetzungen)
The book is divided into three parts, the first of which is devoted to basic concepts, making the content self-contained. The second is devoted to DEA, and the third to SFA. The topics covered in Part 2 range from stochastic DEA to multidirectional dynamic inefficiency analysis, including directional distance functions, the elimination and choice translating algorithm, benefit-of-the-doubt composite indicators,and internal benchmarking for efficiency evaluations. Part 3 also includes exciting and cutting-edge theoretical research on e.g. robustness, nonparametric stochastic frontier models, hierarchical panel data models, and estimation methods like corrected ordinary least squares and maximum entropy.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Chapter 1. Introduction.- Part I.- Chapter 2. Production Economics and Economic Efficiency (Mónica Meireles).- Chapter 3. Data Envelopment Analysis: A Review and Synthesis (Ana S. Camanho).- Chapter 4. Stochastic Frontier Analysis: A Review and Synthesis (Mara Madaleno).- Part II.- Chapter 5. Combining Directional Distances and ELECTRE Multicriteria Decision Analysis for Preferable Assessments of Efficiency (Thyago Nepomuceno).- Chapter 6. Benefit-of-the-Doubt Composite Indicators and use of Weight Restrictions (Ana S. Camanho).- Chapter 7. Multidirectional Dynamic Inefficiency Analysis: An Extension to Include Corporate Social Responsibility (Magdalena Kapelko).- Chapter 8. Stochastic DEA (Samah Jradi).- Chapter 9. Internal Benchmarking for Efficiency Evaluations using Data Envelopment Analysis: A Review of Applications and Directions for Future Research (Fabio Sartori Piran).- Part III.- Chapter 10. Recent Advances in the Construction of Nonparametric Stochastic Frontier Models (Christopher F. Parmeter).- Chapter 11. A Hierarchical Panel Data Model for the Estimation of Stochastic Metafrontiers: Computational Issues and an Empirical Application (Christine Amsler).- Chapter 12. Robustness in Stochastic Frontier Analysis (Alexander D. Stead).- Chapter 13. Is it MOLS or COLS? (Christopher F. Parmeter).- Chapter 14. Stochastic Frontier Analysis with Maximum Entropy Estimation (Pedro Macedo).