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Policy Challenges of the Heterogeneity of the Value of Statistical Life

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  • Viscusi, W. Kip

Abstract

Economic research has developed estimates of the heterogeneity of the value of statistical life (VSL) on dimensions such as individual age, income, immigrant status, and the nature of the risk exposure. This paper examines the empirical evidence on the heterogeneity of VSL and explores the potential implications for the valuation of regulatory policies. Previously, the U.S. Environmental Protection Agency (EPA) unsuccessfully sought to adopt a simple age discount percentage for VSL based on survey evidence. However, labor market estimates of VSL indicate a pattern that tracks lifetime consumption trajectories, as the VSL rises with age and eventually tapers off but does not plummet with age. The VSL has an income elasticity of at least 0.5. The analysis of age variations in VSL is accompanied by a review of the value of statistical life year (VSLY) approach. The U.S. Department of Transportation recognizes the influence of a positive income elasticity of VSL, and EPA has proposed adopting a 50% cancer premium. Recent studies suggest that the risk of death from terrorist attacks are of particular concern and may merit a substantial premium in benefit assessments. Whether and how such heterogeneity in VSL should be incorporated in regulatory policy evaluations depends in part on the source of the heterogeneity. Some prominent sources of heterogeneity arise from segmented labor markets in which disadvantaged groups face different labor market opportunities. Blacks and Mexican immigrants face quite different labor market offer curves. As a result, influences that are problematic from the standpoint of setting different benefit levels for policy purposes are differences in VSL by race and immigrant status. The paper also examines the EPA's recent devaluation of life and the Posner–Sunstein proposal to use VSL estimates to set hedonic damages in tort liability cases. As with hedonic damages generally, adoption of their proposal would lead to excessive levels of compensatory damages and would greatly increase damage amounts.

Suggested Citation

  • Viscusi, W. Kip, 2011. "Policy Challenges of the Heterogeneity of the Value of Statistical Life," Foundations and Trends(R) in Microeconomics, now publishers, vol. 6(2), pages 99-172, July.
  • Handle: RePEc:now:fntmic:0700000011
    DOI: 10.1561/0700000011
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    Citations

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    Cited by:

    1. Je-Liang Liou, 2019. "Effect of Income Heterogeneity on Valuation of Mortality Risk in Taiwan: An Application of Unconditional Quantile Regression Method," IJERPH, MDPI, vol. 16(9), pages 1-15, May.
    2. Agamoni Majumder & S. Madheswaran, 2020. "Compensation for Occupational Risk and Valuation of Statistical Life," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(3), pages 967-989, June.
    3. Scott Farrow & W. Kip Viscusi, 2013. "Towards principles and standards for the benefit–cost analysis of safety," Chapters, in: Scott O. Farrow & Richard Zerbe, Jr. (ed.), Principles and Standards for Benefit–Cost Analysis, chapter 5, pages 172-193, Edward Elgar Publishing.
    4. Doucouliagos, Hristos & Stanley, T.D. & Viscusi, W. Kip, 2014. "Publication selection and the income elasticity of the value of a statistical life," Journal of Health Economics, Elsevier, vol. 33(C), pages 67-75.
    5. Agamoni Majumder & S. Madheswaran, 2017. "Compensating wage differential and value of statistical life: a meta-analysis," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 60(4), pages 527-548, December.
    6. Nicolò Barbieri & Massimiliano Mazzanti & Anna Montini & Andrea Rampa, 2022. "Risk Attitudes to Catastrophic Events: VSL and WTP for Insurance Against Earthquakes," Economics of Disasters and Climate Change, Springer, vol. 6(2), pages 317-337, July.
    7. James O’Brien, 2018. "Age, autos, and the value of a statistical life," Journal of Risk and Uncertainty, Springer, vol. 57(1), pages 51-79, August.
    8. Agamoni Majumder & S. Madheswaran, 2017. "Meta-analysis of Value of Statistical Life Estimates," IIM Kozhikode Society & Management Review, , vol. 6(1), pages 110-120, January.

    More about this item

    Keywords

    Value of statistical life; Risk; Regulation; Hedonic damages; Labor economics; Public policy; Econometrics;
    All these keywords.

    JEL classification:

    • J17 - Labor and Demographic Economics - - Demographic Economics - - - Value of Life; Foregone Income
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • H40 - Public Economics - - Publicly Provided Goods - - - General
    • K32 - Law and Economics - - Other Substantive Areas of Law - - - Energy, Environmental, Health, and Safety Law

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