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Encompassing Tests for Nonparametric Regressions

Elia Lapenta, Pascal Lavergne

arXiv 13 Mar 2022 · Econometrics · publishedEconometric Theory (2024) · 1 citations (OpenAlex)

arXiv:2203.06685 · PDF · DOI · OpenAlex · Extracted main text

Abstract

We set up a formal framework to characterize encompassing of nonparametric models through the L2 distance. We contrast it to previous literature on the comparison of nonparametric regression models. We then develop testing procedures for the encompassing hypothesis that are fully nonparametric. Our test statistics depend on kernel regression, raising the issue of bandwidth's choice. We investigate two alternative approaches to obtain a "small bias property" for our test statistics. We show the validity of a wild bootstrap method. We empirically study the use of a data-driven bandwidth and illustrate the attractive features of our tests for small and moderate samples.

Citation extraction

47
references
88
in-text mentions
47
distinct cited
5
self-citations
14,333
main-text words

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Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
1Lavergne, P. and Q. H. Vuong (1996) Nonparametric Selection of Regressors: The Nonnested Case self1.00083100%
2Delgado, M. A. and W. G. Manteiga (2001) Significance Testing in Nonparametric Regression Based on the Bootstrap0.92844100%
3Bierens, H. J (1982) Consistent Model Specification Tests0.92843100%
4Escanciano, J. C., D. T. Jacho-Chávez, and A. Lewbel (2014) Uniform Convergence of Weighted Sums of Non and Semiparametric Residuals for Estimation and Testing0.92843100%
5Stinchcombe, M. B. and H. White (1998) Consistent Specification Testing With Nuisance Parameters Present Only Under The Alternative0.84333100%
6Xia, Y., W. K. Li, H. Tong, and D. Zhang (2004) A Goodness-of-Fit Test for Single-Index Models0.84333100%
7Newey, W. K., F. Hsieh, and J. M. Robins (2004) Twicing Kernels and a Small Bias Property of Semiparametric Estimators0.81142100%
8Andrews, D. W. K (1995) Nonparametric Kernel Estimation for Semiparametric Models0.73732100%
9Chernozhukov, V., J. C. Escanciano, H. Ichimura, W. K. Newey, and J.… (2022) Locally Robust Semiparametric Estimation0.64422100%
10Lavergne, P (2001) An Equality Test Across Nonparametric Regressions self0.64422100%

Showing the top 10 of 47 scored citations.