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Valuing malaria morbidity: results from a global meta-analysis

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posted on 2023-06-09, 16:49 authored by Mehmet Kutluay, Roy Brouwer, Richard TolRichard Tol
The 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.

History

Publication status

  • Published

File Version

  • Published version

Journal

Journal of Environmental Economics and Policy

ISSN

2160-6544

Publisher

Taylor & Francis

Issue

3

Volume

8

Page range

301-321

Department affiliated with

  • Economics Publications

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2019-02-11

First Open Access (FOA) Date

2019-04-09

First Compliant Deposit (FCD) Date

2019-04-09

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