Valuing malaria morbidity results from a global meta analysis.pdf (1.91 MB)
Valuing malaria morbidity: results from a global meta-analysis
journal contribution
posted on 2023-06-09, 16:49 authored by Mehmet Kutluay, Roy Brouwer, Richard TolRichard TolThe risk of malaria transmission worldwide is expected to increase with climate change. In order to estimate the welfare implications, we analyse the factors that explain willingness to pay to avoid malaria morbidity using a meta-analysis. We fail to replicate a previous meta-analysis, despite using a near-identical dataset. Thus, this paper outlines a more robust approach to analysing such data. We compare multiple regression models via a cross-validation exercise to assess best fit, the first in the meta-analysis literature to do so. Weighted random effects gives best fit. Confirming previous studies, we find that revealed preferences are significantly lower than stated preferences; and that there is no significant difference in the willingness to pay for policies that prevent (pre-morbidity) or treat malaria (post-morbidity). We add two new results to the morbidity literature: (1) Age has a non-linear impact on mean willingness to pay and (2) willingness to pay decreases if malaria policies target communities instead of individual households.
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Publication status
- Published
File Version
- Published version
Journal
Journal of Environmental Economics and PolicyISSN
2160-6544Publisher
Taylor & FrancisExternal DOI
Issue
3Volume
8Page range
301-321Department affiliated with
- Economics Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2019-02-11First Open Access (FOA) Date
2019-04-09First Compliant Deposit (FCD) Date
2019-04-09Usage metrics
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