Unit Root Testing in Presence of a Double Threshold Process
被引:0
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作者:
Francesco Giordano
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机构:University of Salerno,Department of Economics and Statistics
Francesco Giordano
Marcella Niglio
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机构:University of Salerno,Department of Economics and Statistics
Marcella Niglio
Cosimo Damiano Vitale
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机构:University of Salerno,Department of Economics and Statistics
Cosimo Damiano Vitale
机构:
[1] University of Salerno,Department of Economics and Statistics
来源:
Methodology and Computing in Applied Probability
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2017年
/
19卷
关键词:
Threshold autoregressive process;
Stationarity;
Unit root test;
37M10;
62F03;
D O I:
暂无
中图分类号:
学科分类号:
摘要:
In this paper we propose a double threshold process that generalizes the threshold autoregressive one widely known in the literature. It is characterized by a structure with two thresholds: the first regulates the switching between two autoregressive regimes; the second threshold regulates the switching between the two regimes of the stationary innovations. A testing procedure based on a Wald statistic has been given to evaluate the presence of unit roots in the process against stationarity. The asymptotic distribution of the statistic has been derived and the size and the power of the test have been evaluated through a Monte Carlo study where the proposed test is compared to two competing unit root testing procedures. The results clearly highlight the advantage obtained from the proposed test as the asymmetry of the generating process increases.
机构:
Univ Coll Dublin, Sch Math & Stat, Dublin, Ireland
King Abdullah Univ Sci & Technol, Stat Program, Thuwal, Saudi ArabiaUniv Coll Dublin, Sch Math & Stat, Dublin, Ireland
Barreto-Souza, Wagner
Chan, Ngai Hang
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机构:
City Univ Hong Kong, Dept Biostat, Kowloon Tong, Hong Kong, Peoples R ChinaUniv Coll Dublin, Sch Math & Stat, Dublin, Ireland