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The Benefits of Avoiding Cancer (or Dying from Cancer): Evidence from a Four-country Study


  • Alberini, Anna
  • Ščasný, Milan


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 qualitative 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 € 1.9 and 5.7 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 € 0.550 million euro, and its magnitude depends on the initial (conditional) cancer mortality and on the improvement in survival. We interpret these as “pure” mortality and cancer risk values, stripped of morbidity, pain or quality-of-life effects. The survey responses show that 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, 2017. "The Benefits of Avoiding Cancer (or Dying from Cancer): Evidence from a Four-country Study," SAS: Society and Sustainability 253214, Fondazione Eni Enrico Mattei (FEEM).
  • Handle: RePEc:ags:feemss:253214

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    1. James Hammitt & Jin-Tan Liu, 2004. "Effects of Disease Type and Latency on the Value of Mortality Risk," Journal of Risk and Uncertainty, Springer, vol. 28(1), pages 73-95, January.
    2. Adamowicz, Wiktor & Dupont, Diane & Krupnick, Alan & Zhang, Jing, 2011. "Valuation of cancer and microbial disease risk reductions in municipal drinking water: An analysis of risk context using multiple valuation methods," Journal of Environmental Economics and Management, Elsevier, vol. 61(2), pages 213-226, March.
    3. Cameron, Trudy Ann & James, Michelle D, 1987. "Efficient Estimation Methods for "Closed-ended' Contingent Valuation Surveys," The Review of Economics and Statistics, MIT Press, vol. 69(2), pages 269-276, May.
    4. Ronald A. Howard, 1984. "On Fates Comparable to Death," Management Science, INFORMS, vol. 30(4), pages 407-422, April.
    5. Alberini, Anna & Ščasný, Milan, 2013. "Exploring heterogeneity in the value of a statistical life: Cause of death v. risk perceptions," Ecological Economics, Elsevier, vol. 94(C), pages 143-155.
    6. Savage, Ian, 1993. "An Empirical Investigation into the Effect of Psychological Perceptions on the Willingness-to-Pay to Reduce Risk," Journal of Risk and Uncertainty, Springer, vol. 6(1), pages 75-90, January.
    7. Viscusi, W Kip, 1991. "Age Variations in Risk Perceptions and Smoking Decisions," The Review of Economics and Statistics, MIT Press, vol. 73(4), pages 577-588, November.
    8. George Houtven & Melonie Sullivan & Chris Dockins, 2008. "Cancer premiums and latency effects: A risk tradeoff approach for valuing reductions in fatal cancer risks," Journal of Risk and Uncertainty, Springer, vol. 36(2), pages 179-199, April.
    9. Cameron, Trudy Ann & DeShazo, J.R., 2013. "Demand for health risk reductions," Journal of Environmental Economics and Management, Elsevier, vol. 65(1), pages 87-109.
    10. Gentry, Elissa Philip & Viscusi, W. Kip, 2016. "The fatality and morbidity components of the value of statistical life," Journal of Health Economics, Elsevier, vol. 46(C), pages 90-99.
    11. Lisa A. Robinson & James K. Hammitt, 2016. "Valuing Reductions in Fatal Illness Risks: Implications of Recent Research," Health Economics, John Wiley & Sons, Ltd., vol. 25(8), pages 1039-1052, August.
    12. Cropper, Maureen L. & William N. Evans & Stephen J. Berard & Maria M. Ducla-Soares & Paul R. Portney, 1992. "The Determinants of Pesticide Regulation: A Statistical Analysis of EPA Decision Making," Journal of Political Economy, University of Chicago Press, vol. 100(1), pages 175-197, February.
    13. Jones-Lee, M W & Hammerton, M & Philips, P R, 1985. "The Value of Safety: Results of a National Sample Survey," Economic Journal, Royal Economic Society, vol. 95(377), pages 49-72, March.
    14. Ted Gayer & James T. Hamilton & W. Kip Viscusi, 2002. "The Market Value of Reducing Cancer Risk: Hedonic Housing Prices with Changing Information," Southern Economic Journal, Southern Economic Association, vol. 69(2), pages 266-289, October.
    15. Hammitt, James K. & Haninger, Kevin, 2017. "Valuing nonfatal health risk as a function of illness severity and duration: Benefit transfer using QALYs," Journal of Environmental Economics and Management, Elsevier, vol. 82(C), pages 17-38.
    16. Maureen Cropper & James K. Hammitt & Lisa A. Robinson, 2011. "Valuing Mortality Risk Reductions: Progress and Challenges," Annual Review of Resource Economics, Annual Reviews, vol. 3(1), pages 313-336, October.
    17. Corso, Phaedra S & Hammitt, James K & Graham, John D, 2001. "Valuing Mortality-Risk Reduction: Using Visual Aids to Improve the Validity of Contingent Valuation," Journal of Risk and Uncertainty, Springer, vol. 23(2), pages 165-184, September.
    18. Krupnick, Alan & Alberini, Anna & Cropper, Maureen & Simon, Nathalie & O'Brien, Bernie & Goeree, Ron & Heintzelman, Martin, 2002. "Age, Health and the Willingness to Pay for Mortality Risk Reductions: A Contingent Valuation Survey of Ontario Residents," Journal of Risk and Uncertainty, Springer, vol. 24(2), pages 161-186, March.
    19. Ted Gayer & James T. Hamilton & W. Kip Viscusi, 2000. "Private Values Of Risk Tradeoffs At Superfund Sites: Housing Market Evidence On Learning About Risk," The Review of Economics and Statistics, MIT Press, vol. 82(3), pages 439-451, August.
    20. Hammitt, James K & Graham, John D, 1999. "Willingness to Pay for Health Protection: Inadequate Sensitivity to Probability?," Journal of Risk and Uncertainty, Springer, vol. 18(1), pages 33-62, April.
    21. Wesley A. Magat & W. Kip Viscusi & Joel Huber, 1996. "A Reference Lottery Metric for Valuing Health," Management Science, INFORMS, vol. 42(8), pages 1118-1130, August.
    22. Lucas W. Davis, 2004. "The Effect of Health Risk on Housing Values: Evidence from a Cancer Cluster," American Economic Review, American Economic Association, vol. 94(5), pages 1693-1704, December.
    23. Eeckhoudt, Louis R & Hammitt, James K, 2001. "Background Risks and the Value of a Statistical Life," Journal of Risk and Uncertainty, Springer, vol. 23(3), pages 261-279, November.
    24. Takahiro Tsuge & Atsuo Kishimoto & Kenji Takeuchi, 2005. "A Choice Experiment Approach to the Valuation of Mortality," Journal of Risk and Uncertainty, Springer, vol. 31(1), pages 73-95, July.
    25. James Hammitt & Kevin Haninger, 2010. "Valuing fatal risks to children and adults: Effects of disease, latency, and risk aversion," Journal of Risk and Uncertainty, Springer, vol. 40(1), pages 57-83, February.
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    More about this item


    Cancer Risk; Value of a Statistical Life; Value of a Statistical Case of Cancer; Mortality Risk Reduction; Stated Preferences; Health Economics and Policy; I18; J17; K32; Q51;

    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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