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Labor Market Estimates of the Senior Discount for the Value of Statistical Life

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  • Viscusi, W. Kip
  • Aldy, Joseph

    ()
    (Resources for the Future)

Abstract

This article develops the first measures of age-industry job risks to examine the age variations in the value of statistical life. Because of the greater risk vulnerability of older workers, they face flatter wage-risk gradients than younger workers, which we show to be the case empirically. Accounting for this heterogeneity in hedonic market equilibria leads to estimates of the value of statistical life-age relationship that follows an inverted-U shape. The estimates of the value of statistical life range from $6.4 million for younger workers to a peak of $9.0 million for those age 35-44, and then a decline to $3.7 million for those age 55-62. The decline of the estimated VSL with age is consistent with there being some senior discount in the Clear Skies Initiative analysis.

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Bibliographic Info

Paper provided by Resources For the Future in its series Discussion Papers with number dp-06-12.

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Date of creation: 27 Feb 2006
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Handle: RePEc:rff:dpaper:dp-06-12

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Keywords: value of statistical life; job risks; senior discount; compensating differentials;

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References

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Citations

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Cited by:
  1. Polat, Sezgin, 2013. "Wage Compensation for Risk: The Case of Turkey," GIAM Working Papers 13-11, Galatasaray University Economic Research Center.
  2. Rohlfs, Chris & Sullivan, Ryan & Kniesner, Thomas J., 2012. "New Estimates of the Value of a Statistical Life Using Air Bag Regulations as a Quasi-Experiment," IZA Discussion Papers 6994, Institute for the Study of Labor (IZA).
  3. W. Kip Viscusi & Joni Hersch, 2007. "The Mortality Cost to Smokers," NBER Working Papers 13599, National Bureau of Economic Research, Inc.
  4. Andrea Leiter, 2011. "Age effects in monetary valuation of reduced mortality risks: the relevance of age-specific hazard rates," The European Journal of Health Economics, Springer, vol. 12(4), pages 331-344, August.
  5. Mary Evans & V. Kerry Smith, 2008. "Complementarity and the Measurement of Individual Risk Tradeoffs: Accounting for Quantity and Quality of Life Effects," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 41(3), pages 381-400, November.
  6. Bommier, Antoine & Villeneuve, Bertrand, 2008. "Risk Aversion and the Value of Risk to Life," MPRA Paper 11943, University Library of Munich, Germany.
  7. Cameron, Trudy Ann & DeShazo, J.R., 2013. "Demand for health risk reductions," Journal of Environmental Economics and Management, Elsevier, vol. 65(1), pages 87-109.
  8. W. Kip Viscusi, 2014. "The Role of Publication Selection Bias in Estimates of the Value of a Statistical Life," NBER Working Papers 20116, National Bureau of Economic Research, Inc.
  9. Yahya F. Anouti & Carol A. Dahl, 2014. "Rationalizing Transport Fuels Pricing Policies and Effects on Global Fuel Consumption, Emissions Government Revenues and Welfare," Working Papers 2014-01, Colorado School of Mines, Division of Economics and Business.
  10. John Clapp & Piet Eichholtz & Thies Lindenthal, 2012. "Real Option Value over a Housing Market Cycle: West Berlin," ERSA conference papers ersa12p264, European Regional Science Association.
  11. Clapp, John M. & Eichholtz, Piet & Lindenthal, Thies, 2013. "Real option value over a housing market cycle," Regional Science and Urban Economics, Elsevier, vol. 43(6), pages 862-874.
  12. Joseph E. Aldy & W. Kip Viscusi, 2007. "Age Differences in the Value of Statistical Life: Revealed Preference Evidence," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 1(2), pages 241-260, Summer.
  13. Hammitt, James & Roman, Henry & Stieb, David & Walsh, Tyra, 2012. "Expert Elicitation of the Value per Statistical Life in an Air Pollution Context," TSE Working Papers 12-290, Toulouse School of Economics (TSE).
  14. Konishi, Yoshifumi & Adachi, Kenji, 2011. "A framework for estimating willingness-to-pay to avoid endogenous environmental risks," Resource and Energy Economics, Elsevier, vol. 33(1), pages 130-154, January.

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