Identifying covariates of population health using extreme bound analysis

Carmignani, Fabrizio, Shankar, Sriram, Tan, Eng Joo and Tang, Kam Ki (2014) Identifying covariates of population health using extreme bound analysis. European Journal of Health Economics, 15 5: 515-531. doi:10.1007/s10198-013-0492-1

Author Carmignani, Fabrizio
Shankar, Sriram
Tan, Eng Joo
Tang, Kam Ki
Title Identifying covariates of population health using extreme bound analysis
Journal name European Journal of Health Economics   Check publisher's open access policy
ISSN 1618-7598
Publication date 2014-06
Year available 2013
Sub-type Article (original research)
DOI 10.1007/s10198-013-0492-1
Open Access Status
Volume 15
Issue 5
Start page 515
End page 531
Total pages 17
Place of publication Heidelberg, Germany
Publisher Springer
Collection year 2014
Language eng
Formatted abstract
Background: The literature is full of lively discussion on the determinants of population health outcomes. However, different papers focus on small and different sets of variables according to their research agenda. Because many of these variables are measures of different aspects of development and are thus correlated, the results for one variable can be sensitive to the inclusion/exclusion of others.

Method: We tested for the robustness of potential predictors of population health using the extreme bounds analysis. Population health was measured by life expectancy at birth and infant mortality rate.

Results: We found that only about half a dozen variables are robust predictors for life expectancy and infant mortality rate. Among them, adolescent fertility rate, improved water sources, and gender equality are the most robust. All institutional variables and environment variables are systematically non-robust predictors of population health.

Conclusion: The results highlight the importance of robustness tests in identifying predictors or potential determinants of population health, and cast doubts on the findings of previous studies that fail to do so.
Keyword Extreme bounds analysis
Population health
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2014 Collection
School of Economics Publications
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Created: Tue, 18 Jun 2013, 16:36:11 EST by Alys Hohnen on behalf of School of Economics