Medical expenditure in urban China: a quantile regression analysis

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• 作者：Jianmei Zhao ; Hai Zhong
• 关键词：Medical expenditure ; Two ; part model ; Quantile regression ; China ; I11 ; I18 ; H31
• 刊名：International Journal of Health Care Finance and Economics
• 出版年：2015
• 出版时间：December 2015
• 年：2015
• 卷：15
• 期：4
• 页码：387-406
• 全文大小：448 KB
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• 作者单位：Jianmei Zhao (1)
  Hai Zhong (1)
  
  1. China Academy of Public Finance & Public Policy, Central University of Finance & Economics, 39 South College Road, Haidian District, Beijing, 100081, People’s Republic of China
  
• 刊物主题：Public Health; Economic Policy; Public Finance & Economics; Health Informatics; Statistics for Life Sciences, Medicine, Health Sciences; Statistics for Business/Economics/Mathematical Finance/Insurance;
• 出版者：Springer US
• ISSN：1573-6962

文摘

Many countries have been trying to expand their public health insurance coverage in recent years. To achieve two fundamental policy goals—equity in health care utilization and control of health care costs—policymakers need a better understanding of the underlying determinants of individual health care expenditure beyond the results of mean regressions. In this paper, we apply a quantile regression method to investigate the heterogeneous effects of various determinants of medical expenditure in China. Comparing with the average effects, we find that health care expenditures at the upper end of the distribution are under stronger influences of need factors such as poor health status, and weaker influences of socioeconomic factors and insurance status. On the other hand, health care expenditures at the lower end of the distribution are under stronger influences of socioeconomic factors and insurance status, and weaker influences of need factors. Our study may provide useful information to policymakers for the optimal design of their health care systems, and it may be of particular interests to the health policymakers in China, where is currently still in a period of reshaping its health-care system. Keywords Medical expenditure Two-part model Quantile regression China