An easy-to-understand guide to modelling productivity and efficiency using modern statistical tools. Introduces the fundamentals of stochastic frontier analysis (SFA) and the latest concepts and methods related to the use of copulas in SFA. A useful reference for those interested in the newest robust methods of business analytics.
An easy-to-understand guide to modelling productivity and efficiency using modern statistical tools. Introduces the fundamentals of stochastic frontier analysis (SFA) and the latest concepts and methods related to the use of copulas in SFA. A useful reference for those interested in the newest robust methods of business analytics.
Artem Prokhorov is a Professor at the Business School of the University of Sydney, Australia. He is also a Research Fellow at the Centre Interuniversitaire de Recherche en Économie Quantitative (CIREQ) at the University of Montreal, Canada, and a Co-Founder and Academic Advisor of the Center for Econometrics and Business Analytics (CEBA) at St. Petersburg State University, Russia. Professor Prokhorov is a founding member of the International Society for Efficiency and Productivity Analysis (ISEAPA). He holds a Cand Sci degree from St. Petersburg State University and a PhD degree in Economics from Michigan State University.
Inhaltsangabe
1. Introduction 2. Basics of stochastic frontier analysis for cross-sectional data 3. Basics of stochastic frontier analysis for panel data 4. Copulas for panel stochastic frontier models 5. Modeling endogeneity in stochastic frontier models 6. Modeling dependence in production systems 7. Predicting inefficiency 8. Concluding remarks
1. Introduction 2. Basics of stochastic frontier analysis for cross-sectional data 3. Basics of stochastic frontier analysis for panel data 4. Copulas for panel stochastic frontier models 5. Modeling endogeneity in stochastic frontier models 6. Modeling dependence in production systems 7. Predicting inefficiency 8. Concluding remarks
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