Value of statistical life year in extreme poverty: a randomized experiment of measurement methods in rural Burkina Faso [Dataset]

DOI

Background: Value of a Statistical Life Year (VSLY) provides an important economic measure of an individual’s trade‑off between health risks and other consumption, and is a widely used policy parameter. Measuring VSLY is complex though, especially in low‑income and low‑literacy communities.

Methods: Using a large randomized experiment (N = 3027), we study methodological aspects of stated‑preference elicitation with payment cards (price lists) in an extreme poverty context. In a 2 × 2 design, we systematically vary whether buying or selling prices are measured, crossed with the range of the payment card.

Results: We find substantial effects of both the pricing method and the list range on elicited VSLY. Estimates of the gross domestic product per capita multiplier for VSLY range from 3.5 to 33.5 depending on the study design. Importantly, all estimates are economically and statistically significantly larger than the current World Health Organization threshold of 3.0 for cost‑effectiveness analyses.

Conclusions: Our results inform design choice in VSLY measurements, and provide insight into the potential variability of these measurements and possibly robustness checks.

Identifier
DOI https://doi.org/10.11588/data/WPWTWE
Related Identifier https://doi.org/10.1186/s12963-021-00275-y
Metadata Access https://heidata.uni-heidelberg.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.11588/data/WPWTWE
Provenance
Creator Trautmann, Stefan T.; Xu, Yilong; König‑Kersting, Christian; Patenaude, Bryan N.; Harling, Guy; Sié, Ali; Bärnighausen, Till
Publisher heiDATA
Contributor Trautmann, Stefan T.; heiDATA: Heidelberg Research Data Repository
Publication Year 2022
Funding Reference Wellcome Trust 210479/Z/18/Z
Rights info:eu-repo/semantics/openAccess
OpenAccess true
Contact Trautmann, Stefan T. (Alfred-Weber-Institute of Economics, Heidelberg University)
Representation
Resource Type Dataset
Format application/x-stata-syntax; text/plain
Size 6601; 516; 10735
Version 1.1
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences