On two-step estimation for varying coefficient models

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초록

In this note we discuss two-step kernel estimation of varying coefficient regression models that have a common smoothing variable. The method allows one to use different bandwidths for different coefficient functions. We consider local polynomial fitting and present explicit formulas for the asymptotic biases and variances of the estimators. (C) 2013 The Korean Statistical Society. Published by Elsevier B.V. All rights reserved.

키워드

Varying coefficient modelsKernel smoothingBandwidth selectorsLocal polynomial regression
제목
On two-step estimation for varying coefficient models
저자
Lee, Young Kyung
DOI
10.1016/j.jkss.2013.08.001
발행일
2013-12
유형
Article
저널명
Journal of the Korean Statistical Society
42
4
페이지
565 ~ 571