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Roy Model Sorting and Non-Random Selection in the Valuation of a Statistical Life

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  • Thomas DeLeire
  • Christopher Timmins

Abstract

Wage-hedonics is used to recover the value of a statistical life by exploiting the fact that workers choosing riskier occupations will be compensated with a higher wage. However, Roy (1951) suggests that observed wage distributions will be distorted if individuals select into jobs according to idiosyncratic returns. We illustrate how this type of sorting may bias wage-hedonic VSL estimates and describe two estimators that correct for it. Using data from the CPS, we recover VSL estimates that are three to four times larger than those based on the traditional techniques, statistically significant, and robust to a wide array of specifications.

Suggested Citation

  • Thomas DeLeire & Christopher Timmins, 2008. "Roy Model Sorting and Non-Random Selection in the Valuation of a Statistical Life," NBER Working Papers 14364, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:14364
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    Cited by:

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    2. Joshua Graff Zivin & Matthew Neidell, 2013. "Environment, Health, and Human Capital," Journal of Economic Literature, American Economic Association, vol. 51(3), pages 689-730, September.
    3. Christoph M. Rheinberger & Felix Schläpfer & Michael Lobsiger, 2017. "A Novel Approach to Estimating the Demand Value of Road Safety," Working Papers 2017.15, Fondazione Eni Enrico Mattei.
    4. Strulik, Holger, 2022. "A health economic theory of occupational choice, aging, and longevity," Journal of Health Economics, Elsevier, vol. 82(C).
    5. Bastian Ravesteijn & Hans van Kippersluis & Eddy van Doorslaer, 2018. "The wear and tear on health: What is the role of occupation?," Health Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 69-86, February.
    6. Shanjun Li, 2012. "Traffic safety and vehicle choice: quantifying the effects of the ‘arms race’ on American roads," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(1), pages 34-62, January.
    7. W. Viscusi, 2010. "The heterogeneity of the value of statistical life: Introduction and overview," Journal of Risk and Uncertainty, Springer, vol. 40(1), pages 1-13, February.
    8. 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.
    9. Ketcham, Jonathan & Kuminoff, Nicolai & Saha, Nirman, 2023. "Valuing Statistical Life Using Seniors' Medical Spending," RFF Working Paper Series 23-16, Resources for the Future.
    10. Rheinberger, Christoph M. & Schläpfer, Felix & Lobsiger, Michael, 2018. "A novel approach to estimating the demand value of public safety," Journal of Environmental Economics and Management, Elsevier, vol. 89(C), pages 285-305.

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    More about this item

    JEL classification:

    • J17 - Labor and Demographic Economics - - Demographic Economics - - - Value of Life; Foregone Income
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

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