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New risk rates, inter-industry differentials and the magnitude of VSL estimates

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  • Scotton, Carol R.

Abstract

The Census of Fatal Occupational Injury (CFOI) provides data for creating objective measures of workplace risk used in estimations of wage-risk premia for value of statistical life (VSL) calculations. This relatively new data set enables a more theoretically defensible measure for use in hedonic wage equations. However, constructing these rates from the CFOI data necessarily involves creating an industry-occupation matrix defining the “jobs,†deciding whether or not to include the self-employed, and selecting a denominator. These choices in the construction of the risk measure alone, as shown here, result in variations of VSL estimates ranging from $8 million to $18 million. Further, risk measures based on the CFOI data, regardless of construction, are sensitive to simple changes in the specification for the hedonic wage equation. In particular, fixed effects describing the industry in which a worker is employed, as well as the worker’s occupation, are primary influences on the magnitude of the VSL estimates.

Suggested Citation

  • Scotton, Carol R., 2013. "New risk rates, inter-industry differentials and the magnitude of VSL estimates," Journal of Benefit-Cost Analysis, Cambridge University Press, vol. 4(1), pages 39-80, March.
    • Handle: RePEc:cup:jbcoan:v:4:y:2013:i:01:p:39-80_00
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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. Balmford, Ben & Bateman, Ian J. & Bolt, Katherine & Day, Brett & Ferrini, Silvia, 2019. "The value of statistical life for adults and children: Comparisons of the contingent valuation and chained approaches," Resource and Energy Economics, Elsevier, vol. 57(C), pages 68-84.
    3. W. Kip Viscusi, 2015. "The Role of Publication Selection Bias in Estimates of the Value of a Statistical Life," American Journal of Health Economics, University of Chicago Press, vol. 1(1), pages 27-52, Winter.
    4. Jonathan M. Lee & Laura O. Taylor, 2019. "Randomized Safety Inspections and Risk Exposure on the Job: Quasi-experimental Estimates of the Value of a Statistical Life," American Economic Journal: Economic Policy, American Economic Association, vol. 11(4), pages 350-374, November.
    5. 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.

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