An Introduction to Efficiency and Productivity Analysis PDF Download Ebook. Tim Coelli brings considerable expertise to the project in the area of performance measurement. Numerous topics are being added and more applications using real data, as well as exercises at the end of the chapters.
Data sets, computer codes and software will be available for download from the web to accompany the volume. The authors introduce the four major methods economists use to analyze efficiency and productivity: econometric estimation of average response, index numbers, data envelopment analysis (DEA), and stochastic frontier analysis.
Authors intend the book primarily as a text for students in economics and also for students in other disciplines, such as business administration. 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.
It is a well-written introduction to the field. It outlines, discusses and compares the four principal methods for efficiency and productivity analysis in a well-motivated presentation. 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.
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