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Estimation of semiparametric models when the criterion function is not smooth Author info | Abstract | Publisher info | Download info | Related research | Statistics Xiaohong Chen
Oliver Linton () (Institute for Fiscal Studies and London School of Economics)
Ingred Van Keilegom
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registered author(s):
We provide easy to verify suffcient conditions for the consistency and asymptotic normality of a class of semiparametric optimization estimators where the criterion function does not obey standard smoothness conditions and simultaneously depends on some preliminary nonparametric estimators. Our results extend existing theories like those of Pakes and Pollard (1989), Andrews (1994a), and Newey (1994). We apply our results to two examples: a 'hit rate' and a partially linear median regression with some endogenous regressors.
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Paper provided by Centre for Microdata Methods and Practice, Institute for Fiscal Studies in its series CeMMAP working papers with number
CWP02/02.
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Length: 28 pp.
Date of creation: Nov 2002Date of revision:
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References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.: Richard Blundell & Martin Browning & Ian Crawford, 2002.
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repec:cup:etheor:v:11:y:1995:i:3:p:560-96 is not listed on IDEAS
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Joel Horowitz & Sokbae 'Simon' Lee, 2007.
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Oliver Linton & Kyungchul Song & Yoon-Jae Whang, 2009.
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Other versions: Vincenzo Atella & Noemi Pace & Daniela Vuri, 2008.
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