Proceedings of the 2013 International Conference on Advances in Social Science, Humanities, and Management

Regression Analysis of Health Insurance Cost Affecting Factors

Authors
Xiaolong Huang, Quanfang Han, Shoaling Ge, Zhidong Zhang, Qihan Cheng
Corresponding Author
Xiaolong Huang
Available Online December 2013.
DOI
10.2991/asshm-13.2013.56How to use a DOI?
Keywords
Health care costs Influencing factors Both sides of supply and demand Multiple regression
Abstract

The paper selected the relevant data of 1999-2009 basic medical insurance for urban residents in China as object. By setting the relevant indicators, build multiple linear regression models and analysis the factors which affect the health care costs of China from two perspectives, that is, both sides of supply and demand. To put forward strategies and suggestions for controlling the health insurance costs in China.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2013 International Conference on Advances in Social Science, Humanities, and Management
Series
Advances in Intelligent Systems Research
Publication Date
December 2013
ISBN
10.2991/asshm-13.2013.56
ISSN
1951-6851
DOI
10.2991/asshm-13.2013.56How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xiaolong Huang
AU  - Quanfang Han
AU  - Shoaling Ge
AU  - Zhidong Zhang
AU  - Qihan Cheng
PY  - 2013/12
DA  - 2013/12
TI  - Regression Analysis of Health Insurance Cost Affecting Factors
BT  - Proceedings of the 2013 International Conference on Advances in Social Science, Humanities, and Management
PB  - Atlantis Press
SP  - 306
EP  - 311
SN  - 1951-6851
UR  - https://doi.org/10.2991/asshm-13.2013.56
DO  - 10.2991/asshm-13.2013.56
ID  - Huang2013/12
ER  -