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Journal ArticleDOI

DEA, DFA and SFA: A Comparison

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TLDR
The nonparametric data envelopment analysis (DEA) model has become increasingly popular in the analysis of productive efficiency, and the number of empirical applications is now very large as discussed by the authors.
Abstract
The nonparametric data envelopment analysis (DEA) model has become increasingly popular in the analysis of productive efficiency, and the number of empirical applications is now very large. Recent theoretical and mathematical research has also contributed to a deeper understanding of the seemingly simple but inherently complex DEA model. Less effort has, however, been directed toward comparisons between DEA and other competing efficiency analysis models. This paper undertakes a comparison of the DEA, the deterministic parametric (DFA), and the stochastic frontier (SFA) models. Efficiency comparisons across models in the above categories are done based on 15 Colombian cement plants observed during 1968–1988.

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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
Journal ArticleDOI

Environmental efficiency with multiple environmentally detrimental variables : estimated with SFA and DEA

TL;DR: In this paper, the authors compare two methods for the calculation of efficiency; namely Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis (DEA), and reveal the strengths and weaknesses for estimating environmental efficiency of the methods applied.
Journal ArticleDOI

Technical efficiency in farming: a meta-regression analysis

TL;DR: In this article, a meta-regression analysis including 167 farm level technical efficiency (TE) studies of developing and developed countries was undertaken, and the econometric results suggest that stochastic frontier models generate lower mean TE (MTE) estimates than non-parametric deterministic models, while the primal approach is the most common technological representation.
Journal ArticleDOI

Farm household efficiency in Bangladesh: a comparison of stochastic frontier and DEA methods

Abdul Wadud, +1 more
- 11 Mar 2000 - 
TL;DR: In this paper, the authors compared estimates of technical efficiency obtained from the stochastic frontier approach and the Data Envelopment Analysis (DEA) approach using farm-level survey data for rice farmers in Bangladesh.
Posted Content

Economic Efficiency and Frontier Techniques

TL;DR: In this paper, the authors provide a critical and detailed review of both core frontier methods and provide a careful consideration of their main advantages and disadvantages, of the data set utilized, and of the intrinsic characteristics of the framework under analysis.
References
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Journal ArticleDOI

The Measurement of Productive Efficiency

M. J. Farrell
Journal ArticleDOI

Formulation and estimation of stochastic frontier production function models

TL;DR: In this paper, the authors define the disturbance term as the sum of symmetric normal and (negative) half-normal random variables, and consider various aspects of maximum-likelihood estimation for the coefficients of a production function with an additive disturbance term of this sort.
Journal ArticleDOI

A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data

TL;DR: In this paper, a stochastic frontier production function is defined for panel data on firms, in which the nonnegative technical inefficiency effects are assumed to be a function of firm-specific variables and time.
Journal ArticleDOI

Frontier production functions, technical efficiency and panel data: With application to paddy farmers in India

TL;DR: In this article, a stochastic frontier production function model for panel data is presented, for which the firm effects are an exponential function of time, and the best predictor for the technical efficiency of an individual firm at a particular time period is presented for this timevarying model.
Journal ArticleDOI

A Generalized Production Frontier Approach for Estimating Determinants of Inefficiency in U.S. Dairy Farms

TL;DR: In this paper, the authors investigated farm-level efficiency of U.S. dairy farmers by estimating their technical and allocative efficiency, and found that levels of education of the farmer are important factors determining technical inefficiency and large farms are more efficient than small and medium-sized farms.
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