Environmental and Resource Economics

, Volume 33, Issue 2, pp 251–264

Willingness to Pay to Reduce Mortality Risks: Evidence from a Three-Country Contingent Valuation Study


DOI: 10.1007/s10640-005-3106-2

Cite this article as:
Alberini, A., Hunt, A. & Markandya, A. Environ Resource Econ (2006) 33: 251. doi:10.1007/s10640-005-3106-2


Valuing a change in the risk of death is a key input into the calculation of the benefits of environmental policies that save lives. Typically such risks are monetized using the Value of a Statistical Life (VSL). Since the majority of the lives saved by environmental policies are those of older persons, there has been much recent debate about whether the VSL should be lower for the elderly to reflect their fewer remaining life years. We conducted a contingent valuation survey in the UK, Italy and France designed to answer this question. The survey was administered in these three countries following a standardized protocol. Our results suggest that the VSL is €1.022 million or €2.264 million, depending on whether we use median or mean WTP. The VSL is not significantly lower for older persons, but is higher for persons who have been admitted to a hospital or emergency room for cardiovascular and respiratory problems. Income is positively and significantly associated with WTP. The income elasticities of the WTP increase gradually with income levels and are between 0.15 and 0.5 for current income levels in EU countries. We use the responses to the WTP questions to estimate the value of an extension in remaining life expectancy. The value of a loss of one year’s life expectancy is €54,000 or €163,000.


contingent valuation life expectancy risk reduction value of a statistical life willingness to pay 

JEL classifications

H41 H51 I18 I31 J17 

Copyright information

© Springer 2006

Authors and Affiliations

  • Anna Alberini
    • 1
    • 3
  • Alistair Hunt
    • 2
  • Anil Markandya
    • 2
    • 3
  1. 1.Department of Agricultural and Resource EconomicsUniversity of MarylandCollege ParkUSA
  2. 2.University of BathBathUK
  3. 3.Fondazione Eni Enrico MatteiMilanItaly

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