Efficiency and Productivity Analysis

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.

• 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

"Artem Prokhorov has pulled together a comprehensive survey of results for copula methods for Stochastic Frontier models. Many of these are from his own published work. Analysts and practitioners will want to complete their examination with this guide to leading edge extensions and tools for the Stochastic Frontier methodology."William H. Greene, New York University and University of South Florida; Past Editor in Chief, Journal of Productivity Analysis "Modeling dependence in stochastic frontier models has long been underutilized and misunderstood. This text provides a cutting edge and comprehensive treatment of the subject from the leading expert in this area. Full of examples, intuition and code, this work will move both applied and theoretical researchers closer to the 'frontier'."Christopher F. Parmeter, Associate Professor, University of Miami, United States"This is the first, and so far only, book that brings together the approach of statistical copulas and the Stochastic Frontier models, and does so in rigorous way, while also being user-friendly for practitioners, due to the well-designed examples, exercises and programming codes it provides to the readers."Valentin Zelenyuk, Professor, The University of Queensland, Australia“This revolutionary book utilizes state-of-the-art copula approaches to precisely model dependency in stochastic frontier models. Through well-crafted chapters, practical examples, and program codes, it provides graduate students, analysts, and practitioners with comprehensive tools to master these advanced techniques. Highly recommend it!”Kien C. Tran, Professor, University of Lethbridge and Research Affiliate, Center for Econometrics and Business Analytics (CEBA), St. Petersburg State University, Russia