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Panel nonparametric regression with fixed effects

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  • Lee, Jungyoon
  • Robinson, Peter M.

Abstract

Nonparametric regression is developed for data with both a temporal and a cross-sectional dimension. The model includes additive, unknown, individual-specifi…c components and allows also for cross-sectional and temporal dependence and conditional heteroscedasticity. A simple nonparametric estimate is shown to be dominated by a GLS-type one. Asymptotically optimal bandwidth choices are justified for both estimates. Feasible optimal bandwidths, and feasi- ble optimal regression estimates, are asymptotically justifi…ed, with fi…nite sample performance examined in a Monte Carlo study.

Suggested Citation

  • Lee, Jungyoon & Robinson, Peter M., 2013. "Panel nonparametric regression with fixed effects," LSE Research Online Documents on Economics 58175, London School of Economics and Political Science, LSE Library.
    • Handle: RePEc:ehl:lserod:58175
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    File URL: http://eprints.lse.ac.uk/58175/
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    References listed on IDEAS

    as
    1. Hansen, Bruce E., 2008. "Uniform Convergence Rates For Kernel Estimation With Dependent Data," Econometric Theory, Cambridge University Press, vol. 24(3), pages 726-748, June.
    2. Henderson, Daniel J. & Carroll, Raymond J. & Li, Qi, 2008. "Nonparametric estimation and testing of fixed effects panel data models," Journal of Econometrics, Elsevier, vol. 144(1), pages 257-275, May.
    3. Robinson, Peter M, 1988. "Root- N-Consistent Semiparametric Regression," Econometrica, Econometric Society, vol. 56(4), pages 931-954, July.
    4. P. M. Robinson, 1983. "Nonparametric Estimators For Time Series," Journal of Time Series Analysis, Wiley Blackwell, vol. 4(3), pages 185-207, May.
    5. Robinson, Peter M., 2012. "Nonparametric trending regression with cross-sectional dependence," Journal of Econometrics, Elsevier, vol. 169(1), pages 4-14.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    panel data; nonparametric regression; cross-sectional dependence; generalized least squares; optimal bandwidth;
    All these keywords.

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics

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