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A note on the asymptotic behavior of a mildly unstable integer-valued AR(1) model
被引:1
|作者:
Peng, Ling
[1
,2
]
Xie, Shujin
[1
,2
]
Liu, Xiaohui
[2
]
Zhu, Fukang
[3
]
机构:
[1] Jiangxi Univ Finance & Econ, Sch Stat & Data Sci, Nanchang, Peoples R China
[2] Jiangxi Univ Finance & Econ, Key Lab Data Sci Finance & Econ, Nanchang 330013, Jiangxi, Peoples R China
[3] Jilin Univ, Sch Math, Changchun, Peoples R China
来源:
基金:
中国国家自然科学基金;
中国博士后科学基金;
关键词:
Integer-valued autoregressive models;
mildly unstable;
conditional least squares estimator;
limiting distribution;
D O I:
10.1080/02331888.2024.2400185
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 note examines the conditional least squares (CLS) estimators for integer-valued autoregressive (INAR) models, with a focus on the INAR(1) model. Our investigation reveals that the joint limiting distribution of the CLS estimators for the autoregressive coefficient and the mean of the model errors is degenerate in the case of mildly unstable INAR(1) models with moderate deviations from unity. This degeneracy may pose challenges for statistical inference. We provide commenting notes based on the asymptotic results to address this issue. Additionally, we conduct simulation studies and analyze a real-world dataset to validate the theoretical findings.
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页码:1248 / 1266
页数:19
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