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

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Author Info
Thomas DeLeire
Christopher Timmins

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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.

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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 14364.

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Date of creation: Sep 2008
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Handle: RePEc:nbr:nberwo:14364

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Find related papers by 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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  6. Patrick Bajari & Matthew E. Kahn, 2005. "Estimating Housing Demand With an Application to Explaining Racial Segregation in Cities," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 20-33, January. [Downloadable!] (restricted)
    Other versions:
  7. Ted Gayer & James T. Hamilton & W. Kip Viscusi, 2000. "Private Values Of Risk Tradeoffs At Superfund Sites: Housing Market Evidence On Learning About Risk," The Review of Economics and Statistics, MIT Press, vol. 82(3), pages 439-451, August. [Downloadable!] (restricted)
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  9. Alberini, Anna & Cropper, Maureen & Krupnick, Alan & Simon, N.B.Nathalie B., 2004. "Does the value of a statistical life vary with age and health status? Evidence from the US and Canada," Journal of Environmental Economics and Management, Elsevier, vol. 48(1), pages 769-792, July. [Downloadable!] (restricted)
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  13. Jason F. Shogren & Tommy Stamland, 2002. "Skill and the Value of Life," Journal of Political Economy, University of Chicago Press, vol. 110(5), pages 1168-1197, October. [Downloadable!] (restricted)
  14. V. Kerry Smith & Mary F. Evans & Hyun Kim & Donald H. Taylor, 2004. "Do the Near-Elderly Value Mortality Risks Differently?," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 423-429, 03. [Downloadable!] (restricted)
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  17. Jahn K. Hakes & W. Kip Viscusi, 2007. "Automobile Seatbelt Usage and the Value of Statistical Life," Southern Economic Journal, Southern Economic Association, vol. 73(3), pages 659–676, January.
  18. Thomas J. Kniesner & W. Kip Viscusi & Christopher Woock & James P. Ziliak, 2006. "Pinning Down the Value of Statistical Life," Center for Policy Research Working Papers 85, Center for Policy Research, Maxwell School, Syracuse University. [Downloadable!]
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  19. Patrick Bayer & Shakeeb Khan & Christopher Timmins, 2008. "Nonparametric Identification and Estimation in a Generalized Roy Model," NBER Working Papers 13949, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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