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Calculating the economic value of non-marginal mortality risk reductions

Author

Listed:
  • Cardoso, Diego S.
  • Dahis, Ricardo

Abstract

Benefit–cost analyses in public health typically calculate the benefits of mortality reduction interventions by multiplying the Value of a Statistical Life (VSL) and the expected decrease in fatalities. This procedure approximates the benefits of small mortality changes but is inaccurate for large risk changes because it holds constant the VSL—a marginal rate of substitution. Building on the theoretical framework of the VSL, we derive expressions to calculate the benefits of non-marginal mortality reductions with empirically calibrated compensating variations and illustrate their use.

Suggested Citation

  • Cardoso, Diego S. & Dahis, Ricardo, 2024. "Calculating the economic value of non-marginal mortality risk reductions," Economics Letters, Elsevier, vol. 237(C).
  • Handle: RePEc:eee:ecolet:v:237:y:2024:i:c:s0165176524001563
    DOI: 10.1016/j.econlet.2024.111673
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    More about this item

    Keywords

    Value of a statistical life; VSL; Benefit–cost analysis; Mortality risk;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • D78 - Microeconomics - - Analysis of Collective Decision-Making - - - Positive Analysis of Policy Formulation and Implementation
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

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