caa a22 4500 606167536 CHVBK 20210128100703.0 cr unu---uuuuu 210128e20151201xx s 000 0 eng 10.1007/s10754-015-9174-0 doi (NATIONALLICENCE)springer-10.1007/s10754-015-9174-0 Medical expenditure in urban China: a quantile regression analysis [Elektronische Daten] [Jianmei Zhao, Hai Zhong] 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. Springer Science+Business Media New York, 2015 Medical expenditure nationallicence Two-part model nationallicence Quantile regression nationallicence China nationallicence Zhao Jianmei China Academy of Public Finance & Public Policy, Central University of Finance & Economics, 39 South College Road, Haidian District, 100081, Beijing, People's Republic of China aut Zhong Hai China Academy of Public Finance & Public Policy, Central University of Finance & Economics, 39 South College Road, Haidian District, 100081, Beijing, People's Republic of China aut International Journal of Health Economics and Management Springer US; http://www.springer-ny.com 15/4(2015-12-01), 387-406 2199-9023 15:4<387 2015 15 10754 https://doi.org/10.1007/s10754-015-9174-0 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10754-015-9174-0 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Zhao Jianmei China Academy of Public Finance & Public Policy, Central University of Finance & Economics, 39 South College Road, Haidian District, 100081, Beijing, People's Republic of China aut NATIONALLICENCE 700 1- Zhong Hai China Academy of Public Finance & Public Policy, Central University of Finance & Economics, 39 South College Road, Haidian District, 100081, Beijing, People's Republic of China aut NATIONALLICENCE 773 0- International Journal of Health Economics and Management Springer US; http://www.springer-ny.com 15/4(2015-12-01), 387-406 2199-9023 15:4<387 2015 15 10754