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Linear double autoregression
Zhu, Qianqian1; Zheng, Yao2; Li, Guodong2
刊名JOURNAL OF ECONOMETRICS
2018-11
卷号207期号:1页码:162-174
关键词Conditional quantile estimation Goodness-of-fit test Heavy tail Nonlinear time series model Stationary solution
ISSN号0304-4076
DOI10.1016/j.jeconom.2018.05.006
英文摘要This paper proposes the linear double autoregression, a conditional heteroscedastic model with a conditional mean structure but compatible with the quantile regression. The existence of a strictly stationary solution is discussed, for which a necessary and sufficient condition is established. A doubly weighted quantile regression estimation procedure is introduced, where the first set of weights ensures the asymptotic normality of the estimator and the second set improves its efficiency through balancing individual quantile regression estimators across multiple quantile levels. Bayesian information criteria are proposed for model selection, and two goodness-of-fit tests are constructed to check the adequacy of the fitted conditional mean and conditional scale structures. Simulation studies indicate that the proposed inference tools perform well in finite samples, and an empirical example illustrates the usefulness of the new model. (C) 2018 Elsevier B.V. All rights reserved.
WOS研究方向Business & Economics ; Mathematics ; Mathematical Methods In Social Sciences
语种英语
出版者ELSEVIER SCIENCE SA
WOS记录号WOS:000447479900008
内容类型期刊论文
源URL[http://10.2.47.112/handle/2XS4QKH4/483]  
专题上海财经大学
通讯作者Zheng, Yao
作者单位1.Shanghai Univ Finance & Econ, Sch Stat & Management, Shanghai, Peoples R China;
2.Univ Hong Kong, Dept Stat & Actuarial Sci, Pokfulam Rd, Hong Kong, Hong Kong, Peoples R China
推荐引用方式
GB/T 7714
Zhu, Qianqian,Zheng, Yao,Li, Guodong. Linear double autoregression[J]. JOURNAL OF ECONOMETRICS,2018,207(1):162-174.
APA Zhu, Qianqian,Zheng, Yao,&Li, Guodong.(2018).Linear double autoregression.JOURNAL OF ECONOMETRICS,207(1),162-174.
MLA Zhu, Qianqian,et al."Linear double autoregression".JOURNAL OF ECONOMETRICS 207.1(2018):162-174.
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