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Averaging estimators for kernel regressions

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  • Liu, Chu-An

Abstract

This paper considers model averaging for kernel regressions. We construct a weighted average of the local constant and local linear estimators at each point of estimation. We propose a two-step cross-validation method for bandwidths and weights selection, and derive the rate of convergence of the cross-validation weights to their optimal benchmark values.

Suggested Citation

  • Liu, Chu-An, 2018. "Averaging estimators for kernel regressions," Economics Letters, Elsevier, vol. 171(C), pages 102-105.
    • Handle: RePEc:eee:ecolet:v:171:y:2018:i:c:p:102-105
    DOI: 10.1016/j.econlet.2018.07.016
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    References listed on IDEAS

    as
    1. Hall, Peter G. & Racine, Jeffrey S., 2015. "Infinite order cross-validated local polynomial regression," Journal of Econometrics, Elsevier, vol. 185(2), pages 510-525.
    2. Daniel J. Henderson & Christopher F. Parmeter, 2016. "Model Averaging Over Nonparametric Estimators," Advances in Econometrics, in: Essays in Honor of Aman Ullah, volume 36, pages 539-560, Emerald Group Publishing Limited.
    3. Claeskens,Gerda & Hjort,Nils Lid, 2008. "Model Selection and Model Averaging," Cambridge Books, Cambridge University Press, number 9780521852258.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Yulia Kotlyarova & Marcia M. A. Schafgans & Victoria Zinde-Walsh, 2021. "Rates of Expansions for Functional Estimators," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 121-139, December.

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    More about this item

    Keywords

    Cross-validation; Local constant estimator; Local linear estimator; Model averaging;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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