Invalidity of the bootstrap and the m out of n bootstrap for confidence interval endpoints defined by moment inequalities
AbstractThis paper analyses the finite-sample and asymptotic properties of several bootstrap and m out of n bootstrap methods for constructing confidence interval (CI) endpoints in models defined by moment inequalities. In particular, we consider using these methods directly to construct CI endpoints. By considering two very simple models, the paper shows that neither the bootstrap nor the m out of n bootstrap is valid in finite samples or in a uniform asymptotic sense in general when applied directly to construct CI endpoints. Copyright (C) The Author(s). Journal compilation (C) Royal Economic Society 2009
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Bibliographic InfoArticle provided by Royal Economic Society in its journal Econometrics Journal.
Volume (Year): 12 (2009)
Issue (Month): s1 (01)
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- Federico Bugni & Ivan Canay & Xiaoxia Shi, 2014.
"Inference for functions of partially identified parameters in moment inequality models,"
CeMMAP working papers
CWP22/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Federico Bugni & Ivan Canay & Xiaoxia Shi, 2014. "Inference for functions of partially identified parameters in moment inequality models," CeMMAP working papers CWP05/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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