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Value of Statistical Life and Cause of Accident: A Choice Experiment

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  • Fredrik Carlsson
  • Dinky Daruvala
  • Henrik Jaldell

Abstract

The purpose of this study is to compare the value of statistical life (VSL) estimates for traffic, drowning, and fire accidents. Using a choice experiment in a mail survey of 5,000 Swedish respondents we estimated the willingness to pay for risk reductions in the three accidents. In the experiment respondents were asked a series of questions, whether they would choose risk reducing investments where type of accident, cost of the investment, the risk reduction acquired, and the baseline risk varied between questions. The VSLs for fire and drowning accidents were found to be about 1/3 lower than that for traffic accidents. Although respondents worry more about traffic accidents, this alone cannot explain the difference in VSL estimates. The difference between fire and drowning accidents was not found to be statistically significant.

Suggested Citation

  • Fredrik Carlsson & Dinky Daruvala & Henrik Jaldell, 2010. "Value of Statistical Life and Cause of Accident: A Choice Experiment," Risk Analysis, John Wiley & Sons, vol. 30(6), pages 975-986, June.
    • Handle: RePEc:wly:riskan:v:30:y:2010:i:6:p:975-986
    DOI: 10.1111/j.1539-6924.2010.01399.x
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    Cited by:

    1. Hultkrantz, Lars & Svensson, Mikael, 2010. "The Economic Value of Preventing Fatalities: Recent evidence on the value of a statistical life in Sweden," Working Papers 2010:14, Örebro University, School of Business.
    2. S. Olofsson & U.-G. Gerdtham & L. Hultkrantz & U. Persson, 2019. "Value of a QALY and VSI estimated with the chained approach," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(7), pages 1063-1077, September.
    3. Vimefall Elin & Persson Mattias & Olofsson Sara & Hultkrantz Lars, 2022. "Is prevention of suicide worth less? A comparison of the value per statistical life," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(2), pages 261-275, March.
    4. Adam Behrendt & Vineet M. Payyappalli & Jun Zhuang, 2019. "Modeling the Cost Effectiveness of Fire Protection Resource Allocation in the United States: Models and a 1980–2014 Case Study," Risk Analysis, John Wiley & Sons, vol. 39(6), pages 1358-1381, June.
    5. Dennis Guignet & Anna Alberini, 2015. "Can Property Values Capture Changes in Environmental Health Risks? Evidence from a Stated Preference Study in Italy and the United Kingdom," Risk Analysis, John Wiley & Sons, vol. 35(3), pages 501-517, March.
    6. Svensson, Mikael & Hultkrantz, Lars, 2012. "The Willingness to Pay for a QALY - Results based on value of statistical life estimates in Sweden," Karlstad University Working Papers in Economics 2, Karlstad University, Department of Economics.
    7. Persson, Mattias & Svensson, Mikael, 2013. "The willingness to pay to reduce school bullying," Economics of Education Review, Elsevier, vol. 35(C), pages 1-11.
    8. Henrik Lindhjem & Ståle Navrud & Nils Axel Braathen & Vincent Biausque, 2011. "Valuing Mortality Risk Reductions from Environmental, Transport, and Health Policies: A Global Meta‐Analysis of Stated Preference Studies," Risk Analysis, John Wiley & Sons, vol. 31(9), pages 1381-1407, September.
    9. Jin, Yana & Andersson, Henrik & Zhang, Shiqiu, 2020. "Do preferences to reduce health risks related to air pollution depend on illness type? Evidence from a choice experiment in Beijing, China," Journal of Environmental Economics and Management, Elsevier, vol. 103(C).
    10. Cem Tekeşin & Shihomi Ara, 2014. "Measuring the Value of Mortality Risk Reductions in Turkey," IJERPH, MDPI, vol. 11(7), pages 1-33, July.

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    More about this item

    JEL classification:

    • D60 - Microeconomics - - Welfare Economics - - - General
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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