Efficient Estimation in Heteroscedastic Varying Coefficient Models

نویسندگان

  • Chuanhua Wei
  • Lijie Wan
چکیده

This paper considers statistical inference for the heteroscedastic varying coefficient model. We propose an efficient estimator for coefficient functions that is more efficient than the conventional local-linear estimator. We establish asymptotic normality for the proposed estimator and conduct some simulation to illustrate the performance of the proposed method.

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تاریخ انتشار 2015