An Introduction to Efficiency and Productivity Analysis
The second edition of 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). For each method, a detailed introduction to the basic concepts is presented, numerical examples are provided, and some of the more important extensions to the basic methods are discussed. Of special interest is the systematic use of detailed empirical applications using real-world data throughout the book.
In recent years, there have been a number of excellent advance-level books published on performance measurement. This book, however, is the first systematic survey of performance measurement with the express purpose of introducing the field to a wide audience of students, researchers, and practitioners. Indeed, the 2nd Edition maintains its uniqueness: (1) It is a well-written introduction to the field. (2) It outlines, discusses and compares the four principal methods for efficiency and productivity analysis in a well-motivated presentation. (3) It provides detailed advice on computer programs that can be used to implement these performance measurement methods. The book contains computer instructions and output listings for the SHAZAM, LIMDEP, TFPIP, DEAP and FRONTIER computer programs.
360 pages; ISBN 9780387258959
, or download in
Title: An Introduction to Efficiency and Productivity Analysis
Author: Timothy J. Coelli; Dodla Sai Prasada Rao; Christopher J. O'Donnell; George Edward Battese
- Academic > Economics > Competition. Production. Wealth
- Academic > Economics > Industries. Land use. Labor
- Technology > Engineering
- Business > Quality Control
- Business > Management Science
- Business > Production & Operations Management
- Business > Econometrics
- Business > Development
- Business > Industries