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Econometric Modelling Based on Dynamic Count Regression and China Power Supply Dataset

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成果类型:
期刊论文
作者:
Yan, Yixin;Hu, Jiliang;Chen, Xiding;Kumar, A. P. Senthil
通讯作者:
Hu, J.
作者机构:
[Hu, Jiliang; Yan, Yixin] Cent China Normal Univ, Sch Econ & Business Adm, Wuhan, Peoples R China.
[Chen, Xiding] Wenzhou Business Coll, Sch Finance & Trade, Wenzhou, Peoples R China.
[Kumar, A. P. Senthil] Jigjiga Univ, Sch Social Work, Jigjiga, Somali Reg Stat, Ethiopia.
通讯机构:
School of Economics and Business Administration, Central China Normal University, Wuhan, China
语种:
英文
期刊:
Mathematical Problems in Engineering
ISSN:
1024-123X
年:
2022
卷:
2022
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:
Traditionally, economic data of power supply is often analyzed through the count regression model due to the type of empirical data in the decision-making process. However, in reality, it is difficult to use count data model for data with autoregressive features. The main reason is that the time series features and autoregressive attributes cannot be controlled through the count regression model, which violates the assumptions set by the model. Therefore, there may be errors in the empirical analysis results. This letter firstly describes the characteristic of the count regression model and th...

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