Nonparametric Lag Selection for Additive Models based on the Smooth Backfitting Estimator
Zheng-Feng Guo, Lingyan Cao, Ying He
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DOI: 10.4236/tel.2011.12004   PDF    HTML     4,537 Downloads   9,418 Views   Citations

Abstract

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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Guo, Z. , Cao, L. and He, Y. (2011) Nonparametric Lag Selection for Additive Models based on the Smooth Backfitting Estimator. Theoretical Economics Letters, 1, 15-17. doi: 10.4236/tel.2011.12004.

Conflicts of Interest

The authors declare no conflicts of interest.

References

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