Model checks for nonlinear cointegrating regression

被引:12
作者
Wang, Qiying [1 ]
Wu, Dongsheng [2 ]
Zhu, Ke [3 ]
机构
[1] Univ Sydney, Sch Math & Stat, Sydney, NSW, Australia
[2] Univ Alabama, Dept Math Sci, Huntsville, AL 35899 USA
[3] Univ Hong Kong, Dept Stat & Actuarial Sci, Pokfulam Rd, Hong Kong, Hong Kong, Peoples R China
基金
澳大利亚研究理事会;
关键词
Cointegration; Nonlinear regression; Marked empirical process; Weak convergence; Specification testing; Model check; ASYMPTOTIC THEORY; UNIFORM-CONVERGENCE; WEAK-CONVERGENCE; SPECTRAL TESTS; ESTIMATORS;
D O I
10.1016/j.jeconom.2018.08.002
中图分类号
F [经济];
学科分类号
02 ;
摘要
Using the marked empirical processes, this paper develops a test of parametric specification in a nonlinear cointegrating regression model. Unlike the kernel-smoothed U-statistic considered in Gao et al. (2009) and Wang and Phillips (2012), our new test statistic avoids the use of bandwidth, which has some advantages for practitioners. Simulations and a real data example show that our new test has a good finite sample performance. Other contributions of this paper are to provide a rigorous proof on weak convergence for a class of martingales and construct a simulated estimator of the limiting null distribution, which are interesting in their own rights. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:261 / 284
页数:24
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