Stochastic Frontier Analysis: Foundations and Advances I Page 1 Stochastic Frontier
Analysis: Foundations and Advances I Subal C. Kumbhakar, Christopher F. Parmeter, and …

This paper is a survey of recent contributions to, and developments of, the relationship
between outsourcing, efficiency and productivity growth in manufacturing and services. The …

A Practitioner's Guide to Stochastic Frontier Analysis Using Stata provides practitioners in
academia and industry with a step-by-step guide on how to conduct efficiency analysis using …

Estimation of technical efficiency is widely used in empirical research using both cross-
sectional and panel data. Although several stochastic frontier models for panel data are …

Improving energy efficiency is essential for energy conservation, emissions reduction, and
sustainable development. Prevalent huge efficiency gaps are not advantageous for the …

Chapter 1 describes two broad paradigms for measuring economic efficiency, one based on
an essentially nonparametric, programming approach to analysis of observed outcomes …

Received stochastic frontier analyses with panel data have relied on traditional fixed and
random effects models. We propose extensions that circumvent two shortcomings of these …

When Harold Fried, et al. published The Measurement of Productive Efficiency: Techniques
and Applications with OUP in 1993, the book received a great deal of professional interest …

This paper considers the estimation of Kumbhakar et al.(J Prod Anal. doi: 10.1007/s11123-
012-0303-1, 2012)(KLH) four random components stochastic frontier (SF) model using MLE …

A meta-regression analysis including 167 farm level technical efficiency (TE) studies of
develo** and developed countries was undertaken. The econometric results suggest that …