UNIFORM CONVERGENCE FOR NONPARAMETRIC ESTIMATORS WITH NONSTATIONARY DATA

被引:15
作者
Chan, Nigel [1 ]
Wang, Qiying [1 ]
机构
[1] Univ Sydney, Sch Math & Stat, Sydney, NSW 2006, Australia
基金
澳大利亚研究理事会;
关键词
TIME-SERIES; ASYMPTOTIC THEORY; LOCAL TIME; MARTINGALES; REGRESSION; RATES;
D O I
10.1017/S026646661400005X
中图分类号
F [经济];
学科分类号
02 ;
摘要
Sharp upper and lower uniform bounds are established for a general class of functionals of integrated and fractionally integrated time series. The main result is used to develop optimal uniform convergence for the Nadaraya-Watson estimator and the local linear nonparametric estimator in a nonlinear cointegrating regression model. Unlike the point-wise situation, it is shown that the performance of the local linear nonparametric estimator is superior to that of the Nadaraya-Watson estimator in uniform asymptotics.
引用
收藏
页码:1110 / 1133
页数:24
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