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Title: Introduction to Data Envelopment Analysis
Authors: Santos, Jorge
Mendesm, Armando B.
Santos, Emiliana Azevedo
Soares da Silva, L. D. G.
Editors: Santos, Jorge
Keywords: Data Envelopment Analysis
Stochastic Frontier Analysis
Issue Date: 17-Dec-2012
Publisher: Springer
Citation: Book Section 2013 978-94-007-5738-7 Efficiency Measures in the Agricultural Sector Mendes, Armando B. L. D. G. Soares da Silva, Emiliana Azevedo Santos, Jorge M 10.1007/978-94-007-5739-4_1 Efficiency Measures in the Agricultural Sector: The Beginning Springer Netherlands 2013-01-01 Data Envelopment Analysis Models Non-parametric Parametric Stochastic Frontier Analysis Silva, Emiliana Mendes, ArmandoB. Santos, Jorge 3-12 English
Abstract: The agricultural productivity is often based on non-parametric models (DEA), or stochastic models (SFA). In this initial article, the editors start by pointing that the models (DEA and SFA) allow estimating the efficiency of the production frontier and their structural forms. Then, it is presented, in general terms, the differences between DEA and SFA models: DEA model involves the use of technical linear programming to construct a non-parametric piecewise surface, and SFA models comprise econometric models with a random variable, or an error term, including two components: one to account for random effects and another to take care of the technical inefficiency effects. Finally, it shows a comparison between the two approaches (SFA and DEA) and the advantages and disadvantages of their utilizations.
Type: bookPart
Appears in Collections:MAT - Publicações - Capítulos de Livros

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