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An Introduction to Efficiency and Productivity Analysis

TLDR
This book 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.
Abstract
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. More extensive listings of data and computer instruction files are available on the book's website: (www.uq.edu.au/economics/cepa/crob2005).

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Journal ArticleDOI

Estimation and inference in two-stage, semi-parametric models of production processes

TL;DR: In this paper, a coherent data-generating process (DGP) is described for nonparametric estimates of productive efficiency on environmental variables in two-stage procedures to account for exogenous factors that might affect firms’ performance.
Journal ArticleDOI

Data envelopment analysis (DEA) - Thirty years on

TL;DR: A sketch of some of the major research thrusts in data envelopment analysis (DEA) over the three decades since the appearance of the seminal work of Charnes et al. is provided.
Journal ArticleDOI

Metafrontier frameworks for the study of firm-level efficiencies and technology ratios

TL;DR: In this paper, the concept of a metafrontier is used to compare the technical efficiencies of firms that may be classified into different groups. And the authors present the basic analytical framework necessary for the definition of a meta-frontier, shows how a meta-frontiers can be estimated using non-parametric and parametric methods, and presents an empirical application using cross-country agricultural sector data.
Journal ArticleDOI

Total-factor energy efficiency of regions in China

TL;DR: In this article, the authors analyzed energy efficiency of 29 administrative regions in China for the period 1995-2002 with a newly introduced index, the index of total-factor energy efficiency (TFEE), which divides the target energy input by the actual energy input.
Book ChapterDOI

The Econometric Approach to Efficiency Analysis

TL;DR: The Econometrics of Panel DataSpringer Handbook of Science and Technology IndicatorsPanel Data and Econometric Methods for Productivity Measurement and Efficiency Analysis as discussed by the authors, and a Practitioner's Guide to Stochastic Frontier Analysis Using StataBenchmarking for Performance EvaluationEssays on Microeconomics and Industrial OrganisationHealth System EfficiencyInternational Journal of Production EconomicsEconometric Analysis of Model Selection and Model TestingInternational Applications of Productivity and Efficiency analysisAdvanced Robust and Nonparametric Methods in Efficiency Analysis
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