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The benefits of avoiding cancer (or dying from cancer): Evidence from a four- country study

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  • Alberini, Anna
  • Ščasný, Milan

Abstract

We use stated-preference methods to estimate the cancer Value per Statistical Life (VSL) and Value per Statistical Case (VSCC) from a representative sample of 45–60-year olds in four countries in Europe. We ask respondents to report information about their willingness to pay for health risk reductions that are different from those used in earlier valuation work because they are comprised of two probabilities—that of getting cancer, and that of dying from it (conditional on getting it in the first place). The product of these two probabilities is the unconditional cancer mortality risk. Our hypothetical risk reductions also include two severity-related attributes—quality-of-life impacts and pain. The results show that respondents did appear to have an intuitive grasp of compound probabilities, and took into account each component of the unconditional cancer mortality risk when answering the valuation questions. We estimate the cancer VSL to be between approximately € 2 and 5.950 million, depending on whether the (unconditional) mortality risk was reduced by lowering the chance of getting cancer, increasing the chance of surviving cancer, or both. The VSCC is estimated to be up to € 0.578 million euro, and its magnitude depends on the initial (conditional) cancer mortality and on the improvement in survival. The survey responses show that our measures of cancer severity—impacts on daily activities and pain—have little or no effect on the WTP to reduce the adverse health risks.

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  • Alberini, Anna & Ščasný, Milan, 2018. "The benefits of avoiding cancer (or dying from cancer): Evidence from a four- country study," Journal of Health Economics, Elsevier, vol. 57(C), pages 249-262.
  • Handle: RePEc:eee:jhecon:v:57:y:2018:i:c:p:249-262
    DOI: 10.1016/j.jhealeco.2017.08.004
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    Cited by:

    1. Herrera-Araujo, Daniel & Rheinberger, Christoph M. & Hammitt, James K., 2022. "Valuing non-marginal changes in mortality and morbidity risk," Journal of Health Economics, Elsevier, vol. 84(C).
    2. Dickie, Mark & Adamowicz, Wiktor & Gerking, Shelby & Veronesi, Marcella, 2022. "Risk Perception, Learning, and Willingness to Pay to Reduce Heart Disease Risk," Journal of Benefit-Cost Analysis, Cambridge University Press, vol. 13(3), pages 363-382, October.
    3. Cropper, Maureen L. & Joiner, Emily & Krupnick, Alan, 2023. "Revisiting the Environmental Protection Agency's Value of a Statistical Life," RFF Working Paper Series 23-30, Resources for the Future.
    4. Anna Alberini & Milan Ščasný, 2021. "On the validity of the estimates of the VSL from contingent valuation: Evidence from the Czech Republic," Journal of Risk and Uncertainty, Springer, vol. 62(1), pages 55-87, February.
    5. Sara Olofsson & Ulf G. Gerdtham & Lars Hultkrantz & Ulf Persson, 2019. "Dread and Risk Elimination Premium for the Value of a Statistical Life," Risk Analysis, John Wiley & Sons, vol. 39(11), pages 2391-2407, November.
    6. Lydia Chikumbi & Milan Scasny, "undated". "Does ‘price framing’ influence empirical estimates in Discrete Choice Experiments: The case study for the South African wine industry," Working Papers 878, Economic Research Southern Africa.

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    More about this item

    Keywords

    Cancer risk; Value of a statistical life; Value of a statistical case of cancer; Mortality risk reduction; Stated preferences;
    All these keywords.

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • J17 - Labor and Demographic Economics - - Demographic Economics - - - Value of Life; Foregone Income
    • K32 - Law and Economics - - Other Substantive Areas of Law - - - Energy, Environmental, Health, and Safety Law
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

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