Expert Elicitation of the Value per Statistical Life in an Air Pollution Context

James Hammitt, Henry Roman, David Stieb and Tyra Walsh

No 12.10.367, LERNA Working Papers from LERNA, University of Toulouse

Abstract: The monetized value of avoided premature mortality typically dominates the calculated benefits of air pollution regulations; therefore, characterization of the uncertainty surrounding these estimates is key to good policymaking. Formal expert judgment elicitation methods are one means of characterizing this uncertainty. They have been applied to characterize uncertainty in the mortality concentration-response function, but have yet to be used to characterize uncertainty in the economic values placed on avoided mortality. We report the findings of a pilot expert judgment study for Health Canada designed to elicit quantitative probabilistic judgments of uncertainties in Value-per-Statistical-Life (VSL) estimates for use in an air pollution context. The two-stage elicitation addressed uncertainties in both a base case VSL for a reduction in mortality risk from traumatic accidents and in benefits transferrelated adjustments to the base case for an air quality application (e.g., adjustments for age, income, and health status). Results for each expert were integrated to develop example quantitative probabilistic uncertainty distributions for VSL that could be incorporated into air quality models.

Date: 2012-01
New Economics Papers: this item is included in nep-ene, nep-env and nep-hea
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Citations: View citations in EconPapers (9)

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Journal Article: Expert Elicitation of the Value per Statistical Life in an Air Pollution Context (2012)
Working Paper: Expert Elicitation of the Value per Statistical Life in an Air Pollution Context (2012)
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