Nonparametric comparison of regression curves by local linear fitting
This paper proposes a new nonparametric test for the hypothesis that the regression functions in two or more populations are the same. The test is based on local linear estimates using data-driven bandwidth selectors. The test is applicable to data with random regressors and heteroskedastic responses. Simulations indicate the test has good power.
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Volume (Year): 60 (2002)
Issue (Month): 1 (November)
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References listed on IDEAS
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- Yatchew, A., 1999. "An elementary nonparametric differencing test of equality of regression functions," Economics Letters, Elsevier, vol. 62(3), pages 271-278, March.
- de Fontenay, Catherine & Gorgens, Tue & Liu, Haoming, 2002. "The Role of Mobility in Offsetting Inequality: A Nonparametric Exploration of the CPS," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 48(3), pages 347-370, September.
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- Delgado, Miguel A., 1993. "Testing the equality of nonparametric regression curves," Statistics & Probability Letters, Elsevier, vol. 17(3), pages 199-204, June.
- King, Eileen & Hart, Jeffrey D. & Wehrly, Thomas E., 1991. "Testing the equality of two regression curves using linear smoothers," Statistics & Probability Letters, Elsevier, vol. 12(3), pages 239-247, September.
- Härdle, Wolfgang, 1989. "Asymptotic maximal deviation of M-smoothers," Journal of Multivariate Analysis, Elsevier, vol. 29(2), pages 163-179, May.
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