On teh inconsistency of bootstrap distribution estimators

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On teh inconsistency of bootstrap distribution estimators

Author Info

HALL, P.
HARDLE, W.
SIMAR, L.

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Abstract

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Paper provided by Université catholique de Louvain, Center for Operations Research and Econometrics (CORE) in its series CORE Discussion Papers with number 1991020.

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Date of creation: 01 Jan 1991
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Handle: RePEc:cor:louvco:1991020

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Article
- Hall, Peter & Hardle, Wolfgang & Simar, Leopold, 1993. "On the inconsistency of bootstrap distribution estimators," Computational Statistics & Data Analysis, Elsevier, vol. 16(1), pages 11-18, June. [Downloadable!] (restricted)

Cited by:
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Myungsup Kim & Yangseon Kim & Peter Schmidt, 2006. "On the Accuracy of Bootstrap Confidence Intervals for Efficiency Levels in Stochastic Frontier Models with Panel Data," Working Papers 0704, University of Crete, Department of Economics. [Downloadable!]
Other versions:
- Myungsup Kim & Yangseon Kim & Peter Schmidt, 2007. "On the accuracy of bootstrap confidence intervals for efficiency levels in stochastic frontier models with panel data," Journal of Productivity Analysis, Springer, vol. 28(3), pages 165-181, December. [Downloadable!] (restricted)
Wolfgang HÄRDLE & Byeong PARK, . "Testing increasing dispersion," Sonderforschungsbereich 373 1994-2, Humboldt Universitaet Berlin.
Other versions:
- B.U.PARK & Wolfgang HAERDLE, . "Testing increasing dispersion," Statistic und Oekonometrie 9314, Humboldt Universitaet Berlin. [Downloadable!]
- Hardle, W. & Park, B. U., 1995. "Testing increasing dispersion," Computational Statistics & Data Analysis, Elsevier, vol. 19(6), pages 641-653, June. [Downloadable!] (restricted)
Leopold SIMAR & Wolfgang HAERDLE, . "Iterated bootstrap with applications to frontier models," Statistic und Oekonometrie 9302, Humboldt Universitaet Berlin. [Downloadable!]
Other versions:
- Hall, P. & Hardle, W. & Simar, L., 1991. "Iterated bootstrap with applications to frontier models," CORE Discussion Papers 1991021, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

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