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Performance of the Bootstrap for DEA Estimators and Iterating the Principle

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Author Info
Simar, L.
Wilson, P.W.

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Abstract

This paper further examines the bootstrap method proposed by Simar and Wilson (1998) for DEA efficiency estimators. Some simplifications are provided, and we provide Monte Carlo evidence on the coverage probabilities of confidence intervals estimated by the method.

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Publisher Info
Paper provided by Catholique de Louvain - Institut de statistique in its series Papers with number 0002.

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Length: 40 pages
Date of creation: 1999
Date of revision:
Handle: RePEc:fth:louvis:0002

Contact details of provider:
Postal: Universite Catholique de Louvain, Institut de Statistique, Voie du Roman Pays, 34 B-1348 Louvain- La-Neuve, Belgique.

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Related research
Keywords: ECONOMETRICS ; ESTIMATOR;

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Find related papers by JEL classification:
C00 - Mathematical and Quantitative Methods - - General - - - General
C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Estimation

Cited by:
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  1. W. Cooper & L. Seiford & K. Tone & J. Zhu, 2007. "Some models and measures for evaluating performances with DEA: past accomplishments and future prospects," Journal of Productivity Analysis, Springer, vol. 28(3), pages 151-163, December. [Downloadable!] (restricted)
  2. Enflo, Kerstin & Hjertstrand, Per, 2006. "Relative sources of European regional productivity convergence: A bootstrap frontier approach," Working Papers 2006:17, Lund University, Department of Economics. [Downloadable!]
Statistics
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This page was last updated on 2009-11-20.


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