Efficient estimation of partially linear varying coefficient models

نویسندگان

  • Wei Long
  • Min Ouyang
  • Ying Shang
چکیده

In this paper, we consider the problem of estimating a semiparametric partially linear varying coefficient model. We derive the semiparametric efficiency bound for the asymptotic variance of the finitedimensional parameter estimator. We also propose an efficient estimator for estimating the finitedimensional parameter of the model. Simulation results show substantial efficiency gain of our proposed estimator over a conventional estimator as considered in Ahmad et al. (2005). © 2013 Elsevier B.V. All rights reserved.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Efficient estimation and model selection for single-index varying-coefficient models

The single-index varying-coefficient models include many types of popular semiparametric models, i.e. single-index models, partially linear models, varying-coefficient models, and so on. In this paper, we first establish the semiparametric efficiency bound for the single-index varying-coefficient model, and develop an estimation method based on the efficient estimating equations. Although our m...

متن کامل

New Efficient Estimation and Variable Selection Methods for Semiparametric Varying-coefficient Partially Linear Models By

The complexity of semiparametric models poses new challenges to statistical inference and model selection that frequently arise from real applications. In this work, we propose new estimation and variable selection procedures for the semiparametric varying-coefficient partially linear model. We first study quantile regression estimates for the nonparametric varyingcoefficient functions and the ...

متن کامل

New Efficient Estimation and Variable Selection Methods for Semiparametric Varying-coefficient Partially Linear Models.

The complexity of semiparametric models poses new challenges to statistical inference and model selection that frequently arise from real applications. In this work, we propose new estimation and variable selection procedures for the semiparametric varying-coefficient partially linear model. We first study quantile regression estimates for the nonparametric varying-coefficient functions and the...

متن کامل

Efficient Shrinkage Estimation about the Partially Linear Varying Coefficient Model with Random Effect for Longitudinal Data

In this paper, an efficient shrinkage estimation procedure for the partially linear varying coefficient model (PLVC) with random effect is considered. By selecting the significant variable and estimating the nonzero coefficient, the model structure specification is accomplished by introducing a novel penalized estimating equation. Under some mild conditions, the asymptotic properties for the pr...

متن کامل

Semiparametric Quantile Regression Estimation in Dynamic Models with Partially Varying Coefficients∗

We study quantile regression estimation for dynamic models with partially varying coefficients so that the values of some coefficients may be functions of informative covariates. Estimation of both parametric and nonparametric functional coefficients are proposed. In particular, we propose a three stage semiparametric procedure. Both consistency and asymptotic normality of the proposed estimato...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2013