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The impact of healthcare spending on health outcomes: a meta-regression analysis

Gallet, Craig A. and Doucouliagos, Hristos 2017, The impact of healthcare spending on health outcomes: a meta-regression analysis, Social science & medicine, vol. 179, pp. 9-17, doi: 10.1016/j.socscimed.2017.02.024.

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Title The impact of healthcare spending on health outcomes: a meta-regression analysis
Author(s) Gallet, Craig A.
Doucouliagos, HristosORCID iD for Doucouliagos, Hristos orcid.org/0000-0001-5269-3556
Journal name Social science & medicine
Volume number 179
Start page 9
End page 17
Total pages 9
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2017-04
ISSN 0277-9536
Keyword(s) healthcare spending
mortality
life expectancy
publication bias
meta-regression
Summary While numerous studies assess the impact of healthcare spending on health outcomes, typicallyreporting multiple estimates of the elasticity of health outcomes (most often measured by a mortalityrate or life expectancy) with respect to healthcare spending, the extent to which study attributes influencethese elasticity estimates is unclear. Accordingly, we utilize a meta-data set (consisting of 65studies completed over the 1969e2014 period) to examine these elasticity estimates using metaregressionanalysis (MRA). Correcting for a number of issues, including publication selection bias,healthcare spending is found to have the greatest impact on the mortality rate compared to life expectancy.Indeed, conditional on several features of the literature, the spending elasticity for mortality isnear 0.13, whereas it is near to þ0.04 for life expectancy. MRA results reveal that the spending elasticityfor the mortality rate is particularly sensitive to data aggregation, the specification of the health productionfunction, and the nature of healthcare spending. The spending elasticity for life expectancy isparticularly sensitive to the age at which life expectancy is measured, as well as the decision to controlfor the endogeneity of spending in the health production function. With such results in hand, we have abetter understanding of how modeling choices influence results reported in this literature.
Language eng
DOI 10.1016/j.socscimed.2017.02.024
Field of Research 1117 Public Health And Health Services
1601 Anthropology
1608 Sociology
Socio Economic Objective 0 Not Applicable
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2017, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30092042

Document type: Journal Article
Collection: Department of Economics
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