Research on China insurance demand forecasting: Based on mixed frequency data model

Cheng Wang; Mengnan Xu; Zheng Wang; Wenjing Sun

doi:10.1371/journal.pone.0305523

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Open Access

Peer-reviewed

Research Article

Research on China insurance demand forecasting: Based on mixed frequency data model

Cheng Wang,

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

Affiliations School of Medical Economics and Management, Anhui University of Chinese Medicine, Hefei, China, Key Laboratory of Data Science & Innovative Development of Traditional Chinese Medicine, Philosophy and Social Sciences of Anhui Province, Hefei, China
⨯
Mengnan Xu ,

Roles Conceptualization, Formal analysis, Methodology, Software, Supervision, Validation, Writing – review & editing

* E-mail: 15058477369@163.com

Affiliations School of Medical Economics and Management, Anhui University of Chinese Medicine, Hefei, China, Key Laboratory of Data Science & Innovative Development of Traditional Chinese Medicine, Philosophy and Social Sciences of Anhui Province, Hefei, China

https://orcid.org/0009-0006-0770-5259

⨯
Zheng Wang,

Roles Project administration, Supervision, Validation

Affiliations School of Medical Economics and Management, Anhui University of Chinese Medicine, Hefei, China, Key Laboratory of Data Science & Innovative Development of Traditional Chinese Medicine, Philosophy and Social Sciences of Anhui Province, Hefei, China
⨯
Wenjing Sun

Roles Funding acquisition, Project administration

Affiliations School of Medical Economics and Management, Anhui University of Chinese Medicine, Hefei, China, Key Laboratory of Data Science & Innovative Development of Traditional Chinese Medicine, Philosophy and Social Sciences of Anhui Province, Hefei, China
⨯

Research on China insurance demand forecasting: Based on mixed frequency data model

Cheng Wang,
Mengnan Xu,
Zheng Wang,
Wenjing Sun

Published: July 31, 2024
https://doi.org/10.1371/journal.pone.0305523

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