A SPECIFICATION TEST FOR NONLINEAR NONSTATIONARY MODELS

被引:53
|
作者
Wang, Qiying [1 ]
Phillips, Peter C. B.
机构
[1] Univ Sydney, Sch Math & Stat, Sydney, NSW 2006, Australia
来源
ANNALS OF STATISTICS | 2012年 / 40卷 / 02期
基金
澳大利亚研究理事会;
关键词
Intersection local time; kernel regression; nonlinear nonparametric model; nonstationary time series; specification tests; weak convergence; ASYMPTOTIC THEORY; NONPARAMETRIC-ESTIMATION; TIME-SERIES; FUNCTIONALS; CONVERGENCE;
D O I
10.1214/12-AOS975
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
We provide a limit theory for a general class of kernel smoothed U-statistics that may be used for specification testing in time series regression with nonstationary data. The test framework allows for linear and nonlinear models with endogenous regressors that have autoregressive unit roots or near unit roots. The limit theory for the specification test depends on the self-intersection local time of a Gaussian process. A new weak convergence result is developed for certain partial sums of functions involving nonstationary time series that converges to the intersection local time process. This result is of independent interest and is useful in other applications. Simulations examine the finite sample performance of the test.
引用
收藏
页码:727 / 758
页数:32
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