Stochastic Frontier Analysis

Authors: Behr, Andreas
Elaborates on theoretical and empirical production and efficiency analysis
Applies methods to sample data sets using the statistical software R
Helps to understand the methods by employing small simulations and step-by-step programming
Features exercises and recommended further reading for each chapter

Editors: Hwang, Shiuh-Nan, Lee, Hsuan-Shih, Zhu, Joe (Eds.)
Editor (Zhu) is one of the most prominent researchers in the field
Only book to explore using DEA in addition to other decision techniques
Prestigious and international group of contributing authors

An Introduction to Efficiency and Productivity Analysis is designed to be a general introduction for those who wish to study efficiency and productivity analysis. The book provides an accessible, well-written introduction to the four principal methods involved: econometric estimation of average response models; index numbers, data envelopment analysis (DEA); and stochastic frontier analysis (SFA).

An Introduction to Efficiency and Productivity Analysis is designed to be a general introduction for those who wish to study efficiency and productivity analysis. The book provides an accessible, well-written introduction to the four principal methods involved: econometric estimation of average response models; index numbers, data envelopment analysis (DEA); and stochastic frontier analysis (SFA).

This book focuses on the application of newly innovated analytical tools for sustainable development on regional economic and environmental issues in Korea.