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Does the Value of a Statistical Life Vary with Age and Health Status? Evidence from the United States and Canada

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  • Alberini, Anna
  • Cropper, Maureen L.
  • Krupnick, Alan J.
  • Simon, Nathalie B.

Abstract

Much of the justification for environmental rulemaking rests on estimates of the benefits to society of reduced mortality rates. Yet the literature providing estimates of the willingness to pay (WTP) for mortality risk reductions measures the value that healthy, prime-aged adults place on reducing their risk of dying, whereas the majority of statistical lives saved by environmental programs, according to epidemiological studies, appear to be the lives of older people and people with chronically impaired health. This paper provides an empirical assessment of the effects of age and baseline health on WTP for mortality risk reductions by reporting the results of two contingent valuation surveys designed to test the above hypotheses. One survey was administered in-person to residents of Hamilton, Ontario, and the other to a nationally representative sample of U.S. residents using the Internet. Both surveys elicited respondents' WTP for reductions in mortality risk of different magnitudes. Respondents were limited to persons aged 40 years and older, including those older than 60, to examine the impact of age on WTP. Extensive information was collected about each respondent's health status to see whether it systematically influenced WTP. Our results provide weak support for the notion that WTP declines with age, but only after age 70. Specifically, in our Canadian sample, WTP declines by about 30% after age 70 compared with WTP at younger ages. There is no such statistically significant decline, however, in the U.S. sample. We similarly find no support for the idea that people who have cancer or chronic heart or lung disease are willing to pay less to reduce their risk of dying than people without these illnesses. If anything, people with these illnesses are willing to pay more.

Suggested Citation

  • Alberini, Anna & Cropper, Maureen L. & Krupnick, Alan J. & Simon, Nathalie B., 2002. "Does the Value of a Statistical Life Vary with Age and Health Status? Evidence from the United States and Canada," Discussion Papers 10769, Resources for the Future.
  • Handle: RePEc:ags:rffdps:10769
    DOI: 10.22004/ag.econ.10769
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    References listed on IDEAS

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    1. Moore, Michael J & Viscusi, W Kip, 1988. "The Quantity-Adjusted Value of Life," Economic Inquiry, Western Economic Association International, vol. 26(3), pages 369-388, July.
    2. 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.
    3. 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.
    4. Cropper, Maureen L. & G. Sussman, Frances, 1990. "Valuing future risks to life," Journal of Environmental Economics and Management, Elsevier, vol. 19(2), pages 160-174, September.
    5. Menahem E. Yaari, 1965. "Uncertain Lifetime, Life Insurance, and the Theory of the Consumer," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 32(2), pages 137-150.
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    Cited by:

    1. 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.
    2. Rackwitz, Rüdiger, 2006. "The effect of discounting, different mortality reduction schemes and predictive cohort life tables on risk acceptability criteria," Reliability Engineering and System Safety, Elsevier, vol. 91(4), pages 469-484.
    3. 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.
    4. Anna Alberini, 2004. "Robustness of VSL Values from Contingent Valuation Surveys," Working Papers 2004.135, Fondazione Eni Enrico Mattei.
    5. Rachel Baker & Susan Chilton & Michael Jones-Lee & Hugh Metcalf, 2008. "Valuing lives equally: Defensible premise or unwarranted compromise?," Journal of Risk and Uncertainty, Springer, vol. 36(2), pages 125-138, April.
    6. Smith, V. Kerry & Pattanayak, Subhrendu K. & Van Houtven, George L., 2006. "Structural benefit transfer: An example using VSL estimates," Ecological Economics, Elsevier, vol. 60(2), pages 361-371, December.
    7. Bryan Hubbell, 2006. "Implementing QALYs in the Analysis of Air Pollution Regulations," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 34(3), pages 365-384, July.
    8. Ruediger Rackwitz, 2004. "Optimal and Acceptable Technical Facilities Involving Risks," Risk Analysis, John Wiley & Sons, vol. 24(3), pages 675-695, June.

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    More about this item

    Keywords

    Health Economics and Policy;

    JEL classification:

    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • D62 - Microeconomics - - Welfare Economics - - - Externalities
    • Q20 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - General
    • Q26 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Recreational Aspects of Natural Resources

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