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Health Care Expenditure and GDP in African Countries: Evidence from Semiparametric Estimation with Panel Data
Joint Authors
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-06
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
A large body of literature studies on the relationship between health care expenditure (HCE) and GDP have been analyzed using data intensively from developed countries, but little is known for other regions.
This paper considers a semiparametric panel data analysis for the study of the relationship between per capita HCE and per capita GDP for 42 African countries over the period 1995–2009.
We found that infant mortality rate per 1,000 live births has a negative effect on per capita HCE, while the proportion of the population aged 65 is statistically insignificant in African countries.
Furthermore, we found that the income elasticity is not constant but varies with income level, and health care is a necessity rather than a luxury for African countries.
American Psychological Association (APA)
Lv, Zhike& Zhu, Huiming. 2014. Health Care Expenditure and GDP in African Countries: Evidence from Semiparametric Estimation with Panel Data. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1051539
Modern Language Association (MLA)
Lv, Zhike& Zhu, Huiming. Health Care Expenditure and GDP in African Countries: Evidence from Semiparametric Estimation with Panel Data. The Scientific World Journal No. 2014 (2014), pp.1-6.
https://search.emarefa.net/detail/BIM-1051539
American Medical Association (AMA)
Lv, Zhike& Zhu, Huiming. Health Care Expenditure and GDP in African Countries: Evidence from Semiparametric Estimation with Panel Data. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1051539
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1051539