Using Job Changes to Evaluate the Bias of the Value of a Statistical Life
Abstract
This paper presents a new approach to obtain unbiased estimates of the value of a statistical life (VSL) with labor market data. Investigating job changes,we combine the advantages of recent panel studies, which allow to control for unobserved heterogeneity of workers, and conventional cross-sectional estimations, which primarily exploit the variation of wage and risk between different jobs.We find a VSL of 6.1 million euros from pooled cross-sectional estimation, 1.9 million euros from the static first-differences panel model and 3.5 million euros from the job-changer specification.Thus, ignoring individual heterogeneity causes overestimates of the VSL, whereas identifying the wage-risk tradeoff not only by means of between job variation (job-changer model) but also on the basis of noisy variation on the job (panel models) may lead to underestimates of the VSL. Our results can be used to perform cost-benefit analyses of public projects aimed at reducing fatality risks, e.g., in the domains of health, environmental or traffic policy.Download Info
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Paper provided by Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen in its series Ruhr Economic Papers with number 0014.Length: 40 pages
Date of creation: Jun 2007
Date of revision:
Handle: RePEc:rwi:repape:0014
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Related research
Keywords: Value of a statistical life (VSL); compensating wage differentials; work accidents; job changes;Other versions of this item:
- Hannes Spengler & Sandra Schaffner, 2007. "Using Job Changes to Evaluate the Bias of the Value of a Statistical Life," Discussion Papers of DIW Berlin 713, DIW Berlin, German Institute for Economic Research.
- I10 - Health, Education, and Welfare - - Health - - - General
- J17 - Labor and Demographic Economics - - Demographic Economics - - - Value of Life; Foregone Income
- J28 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Safety; Job Satisfaction; Related Public Policy
- K00 - Law and Economics - - General - - - General (including Data Sources and Description)
This paper has been announced in the following NEP Reports:
- NEP-ALL-2007-08-18 (All new papers)
- NEP-LAW-2007-08-18 (Law & Economics)
References
References listed on IDEASPlease report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Spengler, Hannes, 2004.
"Kompensatorische Lohndifferenziale und der Wert eines statistischen Lebens in Deutschland,"
Darmstadt Discussion Papers in Economics
37281, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute of Economics (VWL).
- Spengler, Hannes, 2004. "Kompensatorische Lohndifferenziale und der Wert eines statistischen Lebens in Deutschland," Publications of Darmstadt Technical University, Institute of Economics (VWL) 37281, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute of Economics (VWL).
- Spengler, Hannes, 2004. "Kompensatorische Lohndifferenziale und dr Wert eines statistischen Lebens in Deutschland," Publications of Darmstadt Technical University, Institute of Economics (VWL) 22615, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute of Economics (VWL).
- Kniesner, Thomas J. & Viscusi, W. Kip & Woock, Christopher & Ziliak, James P., 2007.
"Pinning Down the Value of Statistical Life,"
IZA Discussion Papers
3107, Institute for the Study of Labor (IZA).
- 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.
- W. Kip Viscusi & Joseph E. Aldy, 2003.
"The Value of a Statistical Life: A Critical Review of Market Estimates throughout the World,"
NBER Working Papers
9487, National Bureau of Economic Research, Inc.
- Viscusi, W Kip & Aldy, Joseph E, 2003. " The Value of a Statistical Life: A Critical Review of Market Estimates throughout the World," Journal of Risk and Uncertainty, Springer, vol. 27(1), pages 5-76, August.
- Aldy, Joseph E. & Viscusi, W. Kip, 2003. "The Value of Statistical Life: A Critical Review of Market Estimates throughout the World," Working paper 282, Regulation2point0.
- Shogren, Jason F. & Stamland, Tommy, 2006. "Consistent estimation of the value of statistical life," Resource and Energy Economics, Elsevier, vol. 28(3), pages 262-281, August.
- Brown, Charles, 1980. "Equalizing Differences in the Labor Market," The Quarterly Journal of Economics, MIT Press, vol. 94(1), pages 113-34, February.
- Thomas J. Kniesner & W. Kip Viscusi & Christopher Woock & James P. Ziliak, 2005. "How Unobservable Productivity Biases the Value of a Statistical Life," NBER Working Papers 11659, National Bureau of Economic Research, Inc.
- 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.
- Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-26, November.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Martinez Perez, Jorge Eduardo & Mendez Martinez, Ildefonso, 2008. "¿Qué podemos saber sobre el Valor Estadístico de la Vida en España utilizando datos laborales?," MPRA Paper 11165, University Library of Munich, Germany.
- Kniesner, Thomas J. & Viscusi, W. Kip & Woock, Christopher & Ziliak, James P., 2007.
"Pinning Down the Value of Statistical Life,"
IZA Discussion Papers
3107, Institute for the Study of Labor (IZA).
- 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.
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