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Covariate unit root tests under structural change and asymmetric STAR dynamics

机译:结构变化和非对称STAR动力学下的协变量单位根检验

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摘要

In this paper, we intend to develop a new unit root testing procedure. The novelty of this methodology includes (1) accommodating possible trend breaks of unknown number, unknown dates, and unknown form by employing the Fourier form without directly estimating such breaks; (2) considering possible asymmetric STAR adjustments under the alterative; and (3) utilizing related covariates to boost the testing power. The limiting distribution of the test is derived, and the asymptotic critical values are tabulated. Simulation experiments show that the test can deliver robust size for various breaks commonly seen in economic analysis and enjoy high power property, even in small sample sizes encountered in empirical studies. The usefulness of the test is illustrated in an empirical study on the issue of debt sustainability in 18 OECD countries.
机译:在本文中,我们打算开发一种新的单位根测试程序。这种方法的新颖性包括:(1)通过采用傅立叶形式来适应未知数,未知日期和未知形式的可能趋势中断,而无需直接估计这种中断; (2)考虑替代项下可能的非对称STAR调整; (3)利用相关协变量提高测试能力。得出测试的极限分布,并列出渐近临界值。仿真实验表明,该测试可以为经济分析中常见的各种中断提供稳定的大小,并且即使在实证研究中遇到的样本量较小的情况下,也具有较高的功效。一项关于18个经合组织国家债务可持续性问题的实证研究证明了该测试的有效性。

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