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Root-n-consistent semiparametric estimation of partially linear models based on k-nn method

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  • Zhenjuan Liu
  • Xuewen Lu
  • Zhenjuan Liu
  • Xuewen Lu
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    Abstract

    In the context of the partially linear semiparametric model examined by Robinson (1988), we show that root-n-consisten estimation results established using kernel and series methods can also be obtained by using k-nearest-neighbor (k-nn) method.

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    File URL: http://www.tandfonline.com/doi/abs/10.1080/07474939708800396
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    Bibliographic Info

    Article provided by Taylor & Francis Journals in its journal Econometric Reviews.

    Volume (Year): 16 (1997)
    Issue (Month): 4 ()
    Pages: 411-420

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    Handle: RePEc:taf:emetrv:v:16:y:1997:i:4:p:411-420

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    Related research

    Keywords: Semiparametric regression; nearest neighbor nonparametric regression; partially linear model;

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    Cited by:
    1. repec:ebl:ecbull:v:3:y:2008:i:48:p:1-6 is not listed on IDEAS
    2. David Jacho-Chávez, 2008. "k nearest-neighbor estimation of inverse density weighted expectations," Economics Bulletin, AccessEcon, vol. 3(48), pages 1-6.
    3. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    4. Chu, Ba & Jacho-Chávez, David T., 2012. "k-NEAREST NEIGHBOR ESTIMATION OF INVERSE-DENSITY-WEIGHTED EXPECTATIONS WITH DEPENDENT DATA," Econometric Theory, Cambridge University Press, vol. 28(04), pages 769-803, August.

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