Efficiency and Productivity Analysis: Using Copulas in Stochastic Frontier Models

This book provides an easy-to-understand guide to modeling productivity and efficiency using modern statistical tools, covering topics such as panel data modeling, endogeneity, joint modeling, and optimal and robust prediction of inefficiency scores. It illustrates these concepts with practical examples and codes written in modern programming languages, emphasizing the importance of considering simultaneity in optimization. It is a useful reference for those interested in robust methods of business analytics in productivity and efficiency.

Format: Paperback / softback
Length: 224 pages
Publication date: 28 February 2024
Publisher: Taylor & Francis Ltd

This comprehensive guide provides a straightforward approach to modeling productivity and efficiency using modern statistical tools. It begins by introducing readers to the fundamentals of stochastic frontier analysis (SFA) and gradually guides them to the forefront of academic research in this field. Professor Artem Prokhorov, a renowned expert in the area, covers a wide range of topics, including panel data modeling, endogeneity in SFA, joint modeling of technical and allocative inefficiency, and optimal and robust prediction of inefficiency scores.

To capture various forms of statistical dependence that have been previously overlooked in modeling production, the book employs copulas, which are used to model the joint distribution of multiple variables. Through practical examples and codes written in modern programming languages, the classic and advanced topics are illustrated, making the content accessible to a broad audience.

One of the key insights of the book is the importance of considering simultaneity when optimizing both the values of output and the ratio of inputs used in production. Ignoring this simultaneity can lead to biased estimates of productivity and returns-to-scale, potentially understating inefficiency. The book offers a valuable reference for those interested in the latest robust methods of business analytics in the area of productivity and efficiency, with implications for strategy, budgeting, resourcing, and benchmarking of firms, industries, and production units more broadly.

Weight: 374g
Dimension: 153 x 235 x 17 (mm)
ISBN-13: 9780367346102