Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences
Volume 42, Issue 5, 2010, Pages 565-569
[Determinants of household healthcare expenditure of rural floating population in Beijing: a Tobit model approach]. (Article)
Lu X.P.* ,
Wu M.
-
a
Department of Health Policy and Management, Peking University School of Public Health, Beijing 100191, China.
-
b
[Affiliation not available]
Abstract
To explain the household healthcare expenditure among the rural floating population in Beijing and analyze the determinants of a household total healthcare consumption. The data came from the special investigation about rural floating population in Beijing which is part of The Fourth National Health Service Investigation of China. A total of 4 698-native rural migrants (2,728 families) in Beijing were chosen as subjects and a Tobit model was used to analyze the data. Base on the censored characteristics, we use the censored least absolute deviations (CLAD) method to estimate the parameters. Compared with the general urban population, the population under investigation has a high proportion of male and unmarried, but low educated group of young people. The average household healthcare expenditure per month was 21.26 Yuan, and about 74% of the households had made no healthcare expenditure 3 months preceding the survey. The household healthcare expenditure was influenced by the household's education level, household's income level, household size, Engel's coefficient, head's choice of medical institutions and so on. The level of household healthcare expenditure is low with the determinants in the floating population, such as the household's economic circumstances and so on. We should make and develop relevant policies and improve the healthcare utilization of the floating population.
Author Keywords
[No Keywords available]
Index Keywords
Link
https://www.scopus.com/inward/record.uri?eid=2-s2.0-80053178776&partnerID=40&md5=9219e663706ebb11608937f375daa1b1
ISSN: 1671167X
Cited by: 3
Original Language: Chinese