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

Author

Listed:
  • Zhenjuan Liu
  • Xuewen Lu
  • Zhenjuan Liu
  • Xuewen Lu

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.

Suggested Citation

  • Zhenjuan Liu & Xuewen Lu & Zhenjuan Liu & Xuewen Lu, 1997. "Root-n-consistent semiparametric estimation of partially linear models based on k-nn method," Econometric Reviews, Taylor & Francis Journals, vol. 16(4), pages 411-420.
    • Handle: RePEc:taf:emetrv:v:16:y:1997:i:4:p:411-420
    DOI: 10.1080/07474939708800396
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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. 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(4), pages 769-803, August.
    4. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    5. König, Anja, 1997. "Schätzen und Testen in semiparametrischen partiell linearen Modellen für die Paneldatenanalyse," Hannover Economic Papers (HEP) dp-208, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.

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