Valuing Mortality Risks in Low and Middle Income Countries

The summer 2017 issue of the Journal of Benefit-Cost Analysis features a symposium organized by CHDS Senior Research Scientist Lisa A. Robinson. In addition to an introduction and summary drafted by Ms. Robinson, the issue includes an article on the conceptual framework authored by faculty member James K. Hammitt and two additional articles that use different methods to estimate these values.

Access the articles below:

Robinson, L. (2017). Estimating the Values of Mortality Risk Reductions in Low- and Middle-Income Countries. Journal of Benefit-Cost Analysis, 1-10. doi:10.1017/bca.2017.14
Hammitt, J. (2017). Extrapolating the Value Per Statistical Life Between Populations: Theoretical Implications. Journal of Benefit-Cost Analysis, 1-11. doi:10.1017/bca.2017.13
Viscusi, W., & Masterman, C. (2017). Income Elasticities and Global Values of a Statistical Life. Journal of Benefit-Cost Analysis, 1-25. doi:10.1017/bca.2017.12
Hoffmann, S., Krupnick, A., & Qin, P. (2017). Building a Set of Internationally Comparable Value of Statistical Life Studies: Estimates of Chinese Willingness to Pay to Reduce Mortality Risk. Journal of Benefit-Cost Analysis, 1-39. doi:10.1017/bca.2017.16

Lisa A. Robinson and James K. Hammitt are members of a leadership team responsible for a project to develop guidelines that encourage the conduct of high quality benefit‐cost analyses, funded by the Bill and Melinda Gates Foundation. Co-leaders include Dean Jamison (University of California, San Francisco), and David de Ferranti (Results for Development Institute). Learn more about this project.