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Statistical Precision of DEA: A Bootstrap Application to Spanish Public Services

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Author Info
Gonzalez, X M
Miles, D

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Abstract

The aim of this paper is to discuss how the efficiency conclusions obtained from DEA are affected when they are complemented with bootstrap confidence intervals. Bootstrap approximations to DEA estimator distribution functions have not been practically used in empirical analysis, despite being an important statistical tool to discuss the sensitivity of the efficiency point estimator. Copyright 2002 by Taylor and Francis Group

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Publisher Info
Article provided by Taylor and Francis Journals in its journal Applied Economics Letters.

Volume (Year): 9 (2002)
Issue (Month): 2 (February)
Pages: 127-32
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Handle: RePEc:taf:apeclt:v:9:y:2002:i:2:p:127-32

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  1. Maria Alberta Oliveira & Carlos Santos, 2005. "Assessing school efficiency in Portugal using FDH and bootstrapping," Applied Economics, Taylor and Francis Journals, vol. 37(8), pages 957-968, May. [Downloadable!] (restricted)
  2. Olson, Kent & Vu, Linh, 2009. "Productivity Growth, Technical Efficiency and Technical Change on Minnesota Farms," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49204, Agricultural and Applied Economics Association. [Downloadable!]
  3. Emili Tortosa Ausina, 2002. "Sensitivity Analysis Of Efficiency And Malmquist Productivity Indices: An Application To Spanish Savings Banks," Working Papers. Serie EC 2002-30, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie). [Downloadable!]
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This page was last updated on 2009-12-5.


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