Series estimation of functional-coefficient partially linear regression model

Abstract

This paper develops an alternative and complement estimation procedure for functional coefficient partially linear regression (FCPLR) model based on series method. We derive the convergence rates and asymptotic normality of the proposed estimator. We examine its finite sample performance and compare it with the two-step local linear estimator via a small scale Monte Carlo simulation.