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Publication Selection Biases in Stated Preference Estimates of the Value of a Statistical Life

Published online by Cambridge University Press:  17 December 2020

Clayton J. Masterman  and
W. Kip Viscusi
Clayton J. Masterman
Affiliation:
Vanderbilt Law School, 131 21st Ave. South, Nashville, TN37203, USA, e-mail: [email protected]
W. Kip Viscusi*
Affiliation:
University Distinguished Professor of Law, Economics, and Management, Vanderbilt Law School, 131 21st Ave. South, Nashville, TN37203, USA, e-mail: [email protected]
*
*e-mail: [email protected]
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Abstract

This article presents the first meta-analysis documenting the extent of publication selection biases in stated preference estimates of the value of a statistical life (VSL). Stated preference studies fail to overcome the publication biases that affect much of the VSL literature. Such biases account for approximately 90% of the mean value of published VSL estimates in this subset of the literature. The bias is greatest for the largest estimates, possibly because the high-income labor market and stated preference estimates from the USA serve as an anchor for the VSL in other higher income countries. Estimates from lower-income countries exhibit less bias but remain unreliable for benefit-cost analysis. Unlike labor market estimates of the VSL, there is no evidence that any subsample of VSL estimates is free of significant publication selection biases. Although stated preference studies often provide the most readily accessible country-specific VSL estimates, a preferable approach to monetizing mortality risk benefits is to draw on income-adjusted estimates from labor market studies in the USA that use Census of Fatal Occupational Injuries risk data. These estimates lack publication selection effects as well as the limitations that are endemic to stated preference methods.

Keywords

meta-analysispublication selection biasstated preferencevalue of a statistical life.
Type
Article
Information
Journal of Benefit-Cost Analysis , Volume 11 , Issue 3 , Fall 2020 , pp. 357 - 379
Copyright
© The Author(s), 2020. Published by Cambridge University Press on behalf of the Society for Benefit-Cost Analysis

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References

Alberini, A. 2005. “What is a Life Worth? Robustness of VSL Values from Contingent Valuation Surveys.” Risk Analysis, 25(4): 783–800.CrossRefGoogle ScholarPubMed
Alberini, A., Cropper, M. L. Krupnick, A. J., and Simon, N. B.. 2004. “Does the Value of a Statistical Life Vary with Age and Health Status? Evidence from the United States and Canada.” Journal of Environmental Economics and Management, 48(1): 769–792.CrossRefGoogle Scholar
Aldy, J. E., and Viscusi, W. K.. 2008. “Adjusting the Value of a Statistical Life for Age and Cohort Effects.” The Review of Economics and Statistics, 90(3): 573–581.CrossRefGoogle Scholar
Ashenfelter, O., and Greenstone, M.. 2004. “Estimating the Value of a Statistical Life: The Importance of Omitted Variables and Publication Bias.” American Economic Review: Papers and Proceedings, 94(2): 454–460.CrossRefGoogle Scholar
Bellavance, F., Dionne, G., and Lebeau, M.. 2009. “The Value of Statistical Life: A Meta-Analysis with a Mixed Effects Regression Model.” Journal of Health Economics, 28(2): 444–464.CrossRefGoogle ScholarPubMed
Cameron, T. A., and DeShazo, J. R.. 2013. “Demand for Health Risk Reductions.” Journal of Environmental Economics and Management, 65(1): 87–109.CrossRefGoogle Scholar
Carthy, T., Chilton, S. Covey, J., Hopkins, L., Jones-Lee, M., Loomes, G., N. Pidgeon, , and Spencer, A.. 1999. “On the Contingent Valuation of Safety and the Safety of Contingent Valuation. Part 2: The CV-SG ‘Chained’ Approach.” Journal of Risk and Uncertainty, 17(3): 187–213.CrossRefGoogle Scholar
Chilton, S., Covey, J., Hopkins, L., Jones-Lee, M., Loomes, G., Pidgeon, N., and Spencer, A.. 2002. “Public Perceptions of Risk and Preference-Based Values of Safety.” Journal of Risk and Uncertainty, 30(3): 261–287.Google Scholar
de Blaeji, A. T., Florax, R. J. G. M., Rietveld, P., and Verhoef, E.. 2003. “The Value of a Statistical Life in Road Safety: A Meta-Analysis.” Accident Analysis and Prevention, 35(6): 973–986.CrossRefGoogle Scholar
Dekker, T., Brouwer, R., Hofkes, M., and Moeltner, K.. 2011. “The Effect of Risk Context on the Value of a Statistical Life: A Meta-Analysis with a Mixed Effects Regression Model.” Environmental and Resource Economics, 49(4): 597–624.CrossRefGoogle Scholar
Doucouliagos, H., Paldam, M., and Stanley, T. D.. 2018. “Skating on Thin Evidence: Implications for Public Policy.” European Journal on Political Economy, 54(C): 16–25.CrossRefGoogle Scholar
Doucouliagos, H., Stanley, T. D., and Giles, M.. 2012. “Are Estimates of the Value of a Statistical Life Exaggerated?” Journal of Health Economics, 31(1): 197–206.CrossRefGoogle ScholarPubMed
Hammitt, J. K., and Liu, T. M.. 2004. “Effects of Disease Type and Latency on the Value of Mortality Risk.” Journal of Risk and Uncertainty, 28(1): 73–95.CrossRefGoogle Scholar
Hammitt, J. K., and Robinson, L. A.. 2011. “The Income Elasticity of the Value Per Statistical Life: Transferring Estimates between High and Low Income Populations.” Journal of Benefit-Cost Analysis, 2(1): 1–29.CrossRefGoogle Scholar
Hammitt, J. K., and Zhou, Y.. 2006. “The Economic Value of Air-Pollution Related Risks in China: A Contingent Valuation Study.” Environmental and Resource Economics, 32(3): 113–127.Google Scholar
Hammitt, J. K., and Graham, J. D.. 1999. “Willingness to Pay for Health Protection: Inadequate Sensitivity to Probability?” Journal of Risk and Uncertainty, 18(1): 33–62.CrossRefGoogle Scholar
Hammitt, J. K., Geng, F., Guo, X., and Nielson, C. P. 2019. “Valuing Mortality Risk in China: Comparing Stated-Preference Estimates from 2005 and 2016.” Journal of Risk and Uncertainty, 58(2): 167–186.CrossRefGoogle Scholar
Jones-Lee, M. W., Hammerton, M., and Philips, P. R.. 1985. “The Value of Safety: Results of a National Sample Survey.” Economic Journal, 95(3): 49–72.CrossRefGoogle Scholar
Kochi, I., Hubbell, B., and Kramer, R.. 2006. “An Empirical Bayes Approach to Combining and Comparing Estimates of the Value of Statistical Life for Environmental Policy Analysis.” Environmental and Resource Economics, 34(3): 385–406.CrossRefGoogle Scholar
Krupnick, A. 2007. “Mortality-Risk Valuation and Age: Stated Preference Evidence.” Review of Environmental Economics and Policy, 1(2): 261–282.CrossRefGoogle Scholar
Lindhjem, H., and Navrud, S.. 2008. “How Reliable are Meta-Analyses for International Benefit Transfers?” Ecological Economics, 66(2–3), 425–435.CrossRefGoogle Scholar
Lindhjem, H., Navrud, S., Braathen, N. A., and Biausque, V.. 2011. “Valuing Mortality Risk Reductions from Environmental, Transport, and Health Policies: A Global Meta-Analysis of Stated Preferences Studies.” Risk Analysis, 31(9): 1381–1407.CrossRefGoogle Scholar
Masterman, C. J., and Viscusi, W. K.. 2017. “Income Elasticities and Global Values of Statistical Life.” Journal of Benefit-Cost Analysis, 8(2): 226–250.Google Scholar
Masterman, C. J., and Viscusi, W. K.. 2018. “The Income Elasticity of Global Values of a Statistical Life: Stated Preference Evidence.” Journal of Benefit-Cost Analysis, 9(3): 407–434.CrossRefGoogle Scholar
Mrozek, J. R., and Taylor, L. O.. 2002. “What Determines the Value of Life? A Meta-Analysis.” Journal of Policy Analysis and Management, 21(2): 253–270.CrossRefGoogle Scholar
OECD. 2012. Mortality Risk Valuation in Environment, Health, and Transport Policies. Paris, France: OECD Publishing. http://dx.doi.org/10.1787/9789264130807-en.Google Scholar
Robinson, L. A. 2007. “Policy Monitor: How U.S. Government Agencies Value Mortality Risk Reductions.” Review of Environmental Economics and Policy, 1(2): 283–299.CrossRefGoogle Scholar
Robinson, L. A., and Hammitt, J. K.. 2015. “Research Synthesis and the Value Per Statistical Life.” Risk Analysis, 35(6): 1086–1100.CrossRefGoogle ScholarPubMed
Robinson, L. A., Hammitt, J. K., and O’Keeffe, L.. 2018. “Valuing Mortality Risk Reductions in Global Benefit-Cost Analysis.” Journal of Benefit-Cost Analysis, 10(S1): 15–50.CrossRefGoogle Scholar
T. D., Stanley, and Doucouliagos, H.. 2017. “Neither Fixed nor Random: Weighted Least Squares Meta-Regression.” Research Synthesis Methods, 8(1): 19–42.Google Scholar
Stanley, T. D. 2005. “Beyond Publication Bias.” Journal of Economic Surveys, 19(3): 309–345.CrossRefGoogle Scholar
Stanley, T. D. 2008. “Meta-Regression Methods for Detecting and Estimating Empirical Effects in the Presence of Publication Selection.” Oxford Bulletin of Economics and Statistics, 70(1): 103–105.Google Scholar
Stanley, T. D., and Doucouliagos, H.. 2012. Meta-Regression Analysis in Economics and Business. London, UK: Routledge.CrossRefGoogle Scholar
Stanley, T. D., and Doucouliagos, H.. 2014. “Meta Regression Approximations to Reduce Publication Selection Bias.” Research Synthesis Methods, 5(1): 60–78.CrossRefGoogle ScholarPubMed
U.S. Environmental Protection Agency. 2016. Valuing Mortality Risk Reductions for Policy: A Meta-Analytic Approach. Available at https://yosemite.epa.gov/sab/sabproduct.nsf/0/0CA9E925C9A702F285257F380050C842/$File/VSL%20white%20paper_final_020516.pdf. (accessed Febuary 5, 2018).Google Scholar
U.S. Office of Management and Budget, Office of Information and Regulatory Affairs. 2015. 2015 Report to Congress on the Benefits and Costs of Federal Regulations and Agency Compliance with the Unfunded Mandates Reform Act. Available at https://obamawhitehouse.archives.gov/sites/default/files/omb/inforeg/2015_cb/2015-cost-benefit-report.pdf. (accessed September 20, 2018).Google Scholar
Vassanadumrongdee, S., and Matsuoka, S. 2005. “Risk Perceptions and Value of a Statistical Life for Air Pollution and Traffic Accidents: Evidence from Bangkok, Thailand.” Journal of Risk and Uncertainty, 30(3): 261–287.CrossRefGoogle Scholar
Viscusi, W. K. 2015. “The Role of Publication Selection Bias in Estimates of the Value of a Statistical Life.” American Journal of Health Economics, 1(1): 27–52.CrossRefGoogle Scholar
Viscusi, W. K. 2018. “Best Estimate Selection Bias in the Value of a Statistical Life.” Journal of Benefit Cost Analysis, 9(2): 205–246.CrossRefGoogle Scholar
Viscusi, W. K., and Aldy, J. E.. 2003. “The Value of a Statistical Life: A Critical Review of Market Estimates Throughout the World.” Journal of Risk and Uncertainty, 27(1): 5–76.CrossRefGoogle Scholar
Viscusi, W. K., and Masterman, C. J.. 2017. “Anchoring Biases in International Estimates of the Value of a Statistical Life.” Journal of Risk and Uncertainty, 54(2): 103–128.CrossRefGoogle Scholar
Viscusi, W. K., and Gentry, E. P.. 2015. “The Value of a Statistical Life for Transportation Regulations: A Test of the Benefits Transfer Methodology.” Journal of Risk and Uncertainty, 51(1): 53–77.CrossRefGoogle Scholar
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