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Nonparametric Lag Selection for Additive Models based on the Smooth Backfitting Estimator

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DOI: 10.4236/tel.2011.12004    3,921 Downloads   8,376 Views  


This paper proposes a nonparametric FPE-like procedure based on the smooth backfitting estimator when the additive structure is a priori known. This procedure can be expected to perform well because of its well-known finite sample performance of the smooth backfitting estimator. Consistency of our procedure is established under very general conditions, including heteroskedasticity.

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The authors declare no conflicts of interest.

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Z. Guo, L. Cao and Y. He, "Nonparametric Lag Selection for Additive Models based on the Smooth Backfitting Estimator," Theoretical Economics Letters, Vol. 1 No. 2, 2011, pp. 15-17. doi: 10.4236/tel.2011.12004.


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