Performance of unit-root tests for non linear unit-root and partial unit-root processes

被引:4
|
作者
Zhang, Lingxiang [1 ]
机构
[1] Beijing Inst Technol, Sch Management & Econ, 5 Zhongguancun South St, Beijing 100081, Peoples R China
基金
高等学校博士学科点专项科研基金;
关键词
Monte Carlo simulation; Partial unit root; Unit-root tests; C12; C32; C52; THRESHOLD AUTOREGRESSION; ADJUSTMENT; MODELS; RATES; POWER;
D O I
10.1080/03610926.2014.922985
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
This paper investigates the finite-sample performance of the augmented Dickey-Fuller (ADF), Phillips-Perron (PP), momentum threshold autoregressive (M-TAR), Kapetanios-Shin-Snell (KSS), and the inf-t unit-root tests. Simulation results show that the ADF and KSS tests have better size, whereas other tests generate severe size distortions when the date-generating processes are non linear unit-root processes. In general, with regard to the combination of test powers with test sizes, the ADF and KSS tests are comparatively better than the PP, M-TAR, and inf-t tests; moreover, the inf-t test exhibits the poorest performance even for larger sample sizes.
引用
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页码:4528 / 4536
页数:9
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