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      Valuing Mortality Risk Reductions in Global Benefit-Cost Analysis

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          Abstract

          The estimates used to value mortality risk reductions are a major determinant of the benefits of many public health and environmental policies. These estimates (typically expressed as the value per statistical life, VSL) describe the willingness of those affected by a policy to exchange their own income for the risk reductions they experience. While these values are relatively well studied in high-income countries, less is known about the values held by lower-income populations. We identify 26 studies conducted in the 172 countries considered low- or middle-income in any of the past 20 years; several have significant limitations. Thus there are few or no direct estimates of VSL for most such countries. Instead, analysts typically extrapolate values from wealthier countries, adjusting only for income differences. This extrapolation requires selecting a base value and an income elasticity that summarizes the rate at which VSL changes with income. Because any such approach depends on assumptions of uncertain validity, we recommend that analysts conduct a standardized sensitivity analysis to assess the extent to which their conclusions change depending on these estimates. In the longer term, more research on the value of mortality risk reductions in low- and middle-income countries is essential.

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          The Income Elasticity of the Value per Statistical Life: Transferring Estimates between High and Low Income Populations

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            Age Differences in the Value of Statistical Life: Revealed Preference Evidence

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              Valuing mortality risk reductions from environmental, transport, and health policies: a global meta-analysis of stated preference studies.

              We conduct, to our knowledge, the first global meta-analysis (MA) of stated preference (SP) surveys of mortality risk valuation. The surveys ask adults their willingness to pay (WTP) for small reductions in mortality risks, deriving estimates of the sample mean value of statistical life (VSL) for environmental, health, and transport policies. We explain the variation in VSL estimates by differences in the characteristics of the SP methodologies applied, the population affected, and the characteristics of the mortality risks valued, including the magnitude of the risk change. The mean (median) VSL in our full data set of VSL sample means was found to be around $7.4 million (2.4 million) (2005 U.S. dollars). The most important variables explaining the variation in VSL are gross domestic product (GDP) per capita and the magnitude of the risk change valued. According to theory, however, VSL should be independent of the risk change. We discuss and test a range of quality screening criteria in order to investigate the effect of limiting the MA to high-quality studies. When limiting the MA to studies that find statistically significant differences in WTP using external or internal scope tests (without requiring strict proportionality), we find that mean VSL from studies that pass both tests tend to be less sensitive to the magnitude of the risk change. Mean VSL also tends to decrease when stricter screening criteria are applied. For many of our screened models, we find a VSL income elasticity of 0.7-0.9, which is reduced to 0.3-0.4 for some subsets of the data that satisfy scope tests or use the same high-quality survey. © 2011 Society for Risk Analysis.
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                Author and article information

                Journal
                J Benefit Cost Anal
                J Benefit Cost Anal
                BCA
                Journal of Benefit-Cost Analysis
                Cambridge University Press
                2194-5888
                2152-2812
                15 January 2019
                2019
                : 10
                : Suppl 1
                : 15-50
                Affiliations
                [1 ]Harvard T.H. Chan School of Public Health, Center for Health Decision Science and Center for Risk Analysis, 718 Huntington Avenue, Boston, Massachusetts 02115, USA
                [2 ]Toulouse School of Economics, Université Toulouse Capitole, 21, allée de Brienne, 31000 Toulouse, France
                Author notes
                [* ] Corresponding author: Lisa A. Robinson, e-mail: robinson@ 123456hsph.harvard.edu , e-mail: jkh@ 123456harvard.edu , e-mail: okeeffe@ 123456hsph.harvard.edu
                Article
                BCA-2018-bca.2018.26
                10.1017/bca.2018.26
                7473065
                32968616
                2aafb369-2a4d-4c5a-b2ca-bc93b721557c
                © Society for Benefit-Cost Analysis, 2019.

                This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence, which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.

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                low- and middle-income countries,value of mortality risk reductions,value per statistical life,willingness to pay

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