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Testing for a Moderately Explosive Process with Structural Change in Drift*

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成果类型:
期刊论文
作者:
Xiang, Jingjie;Guo, Gangzheng;Zhao, Qing*
通讯作者:
Zhao, Qing
作者机构:
[Xiang, Jingjie] Cent China Normal Univ, Sch Econ & Business Adm, Wuhan, Peoples R China.
[Guo, Gangzheng] China Construct Bank, Int Inst, Beijing, Peoples R China.
[Guo, Gangzheng] Tsinghua Univ, Sch Econ & Management, Beijing, Peoples R China.
[Zhao, Qing] Dongbei Univ Finance & Econ, Sch Finance, Dalian, Peoples R China.
通讯机构:
[Zhao, Qing] D
Dongbei Univ Finance & Econ, Sch Finance, Dalian, Peoples R China.
语种:
英文
期刊:
OXFORD BULLETIN OF ECONOMICS AND STATISTICS
ISSN:
0305-9049
年:
2022
卷:
84
期:
2
页码:
300-333
基金类别:
*Guo equally shares the first authorship with Xiang. The work of Zhao is supported by MOE (Ministry of Education in China) Project of Humanities and Social Sciences (No.20YJA790084). The authors are grateful for very helpful comments from Anindya Banerjee (the editor) and two anonymous referees.
机构署名:
本校为第一机构
院系归属:
经济与工商管理学院
摘要:
This paper studies large sample properties of a moderately explosive autoregression with a structural change in the unobservable drift term, and develops asymptotic tests for the null of moderate explosiveness under different dependence structures. When the innovation sequence is independently and identically distributed (i.i.d.), we show that the t statistic is asymptotically standard normal. When the innovations are weakly dependent in the form of homoskedasticity or conditional heteroskedasticity, we invoke the fixed-smoothing asymptotics to construct the heteroskedasticity and autocorrelat...

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