Adler, M. D. (2019). Measuring social welfare: An introduction. Oxford: Oxford University Press.
Adler, M.D., Ferranna, M., Hammitt, J.K., & Treich, N. (2019). Fair innings? The utilitarian and prioritarian value of risk reduction over a whole lifetime. Duke Law School Public Law & Legal Theory Series no. 2019-79. Available at SSRN: https://ssrn.com/abstract=3493976.
Alberini, A., Cropper, M., Krupnick, A., & Simon, N. 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, 48(1), 769–792.
Aldy, J.E., & Smyth, S.J. (2014). Heterogeneity in the value of life. NBER working paper 20206.
Aldy, J. E., & Viscusi, W. K. (2008). Adjusting the value of a statistical life for age and cohort effects. Review of Economics and Statistics, 90(3), 573–581.
Aldy, J. E. (2019). Birds of a feather: Estimating the value of statistical life from dual-earner families. Journal of Risk and Uncertainty, 58(2-3), 187–205.
Arias, E., & Xu, J. (2019). United States Life Tables, 2017. National Vital Statistics Reports, 68(7), June 24.
Aumann, R. J., & Kurz, M. (1977). Power and taxes. Econometrica, 45(5), 1137–1161.
Bernard, C., Rheinberger, C. M., & Treich, N. (2018). Catastrophe aversion and risk equity in an interdependent world. Management Science, 64(10), 4490–4504.
Barseghyan, L., Molinari, F., O’Donoghue, T., & Teitelbaum, J. C. (2018). Estimating risk preferences in the field. Journal of Economic Literature, 56(2), 501–564.
Beattie, J., Covey, J., Dolan, P., Hopkins, L., Jones-Lee, M., Loomes, G., Pidgeon, N., Robinson, A., & Spencer, A. (1998). On the contingent valuation of safety and the safety of contingent valuation: Part 1 – Caveat investigator. Journal of Risk and Uncertainty, 17(1), 5–25.
Bleichrodt, H., Courbage, C., & Rey, B. (2019). The value of a statistical life under changes in ambiguity. Journal of Risk and Uncertainty, 58(1), 1–15.
Broughel, J., & Viscusi, W. K. (2020). The mortality cost of expenditures. Contemporary Economic Policy. https://doi.org/10.1111/coep.12483.
Cameron, T. A., & DeShazo, J. R. (2013). Demand for health risk reductions. Journal of Environmental Economics and Management, 65(1), 87–109.
Cardoso, D.S., & Dahis, R. (2020). Value of a statistical life under large mortality risk change: Theory and an application to COVID-19. https://ssrn.com/abstract=3599529.
Chapman, K. S., & Hariharan, G. (1994). Controlling for causality in the link from income to mortality. Journal of Risk and Uncertainty, 8, 85–94.
Chapman, K. S., & Hariharan, G. (1996). Do poor people have a stronger relationship between income and mortality than the rich? Implications of panel data for health-health analysis. Journal of Risk and Uncertainty, 12(1), 51–63.
Chilton, S., Covey, J., Hopkins, L., Jones-Lee, M., Loomes, G., Pidgeon, N., & Spencer, A. (2002). Public perceptions of risk and preference-based values of safety. Journal of Risk and Uncertainty, 25(3), 211–232.
Chilton, S., Jones-Lee, M., Kiraly, F., Metcalf, H., & Pang, W. (2006). Dread risks. Journal of Risk and Uncertainty, 33(3), 165–182.
Corso, P. S., Hammitt, J. K., & Graham, J. D. (2001). Valuing mortality-risk reduction: Using visual aids to improve the validity of contingent valuation. Journal of Risk and Uncertainty, 23(2), 165–184.
Costa, D. L., & Kahn, M. E. (2004). Changes in the value of life, 1940-1980. Journal of Risk and Uncertainty, 29(159–180), 2004.
Cropper, M. L., & Sussman, F. G. (1990). Valuing future risks to life. Journal of Environmental Economics and Management, 19(2), 160–174.
Drèze, J. (1962). L’utilitè sociale d’une vie humaine. Revue Française de Recherche Opèrationelle, 6, 93–118.
Eeckhoudt, L. R., & Hammitt, J. K. (2001). Background risks and the value of a statistical life. Journal of Risk and Uncertainty, 23(3), 261–279.
Ellsberg, D. (1961). Risk, ambiguity, and the Savage axioms. Quarterly Journal of Economics, 75(4), 643–669.
Evans, M. F., & Smith, V. K. (2010). Measuring how risk tradeoffs adjust with income. Journal of Risk and Uncertainty, 40(1), 33–55.
Ferguson, N. M., et al. (2020). Impact of non-pharmaceutical interventions (NPIs) to reduce COVID-19 mortality and healthcare demand. Imperial College COVID-19 Response Team, London, (16 March 2020).
Fischhoff, B., Slovic, P., Lichtenstein, S., Read, S., & Combs, B. (1978). How safe is safe enough? A psychometric study of attitudes toward technological risks and benefits. Policy Sciences, 9(2), 127–152.
Gajdos, T., Takashi, H., Tallon, J.-M., & Vergnaud, J.-C. (2008). Attitude toward imprecise information. Journal of Economic Theory, 140(23–56), 2008.
Gilboa, I., & Schmeidler, D. (1989). Maxmin expected utility with non-unique prior. Journal of Mathematical Economics, 18(2), 141–153.
Gollier, C. (2020). If the objective is herd immunity, on whom should it be built? COVID Economics, 16, 98–114.
Greenstone, M., & Nigam, V. (2020). Does social distancing matter? COVID Economics, 7, 1–23.
Guo, X., & Hammitt, J. K. (2009). Compensating wage differentials with unemployment: Evidence from China. Environmental and Resource Economics, 42(2), 187–209.
Gyrd-Hansen, D., Halvorsen, P. A., & Kristiansen, I. S. (2008). Willingness-to-pay for a statistical life in the times of a pandemic. Health Economics, 17(1), 55–66.
Hall, R. E., Jones, C. I., & Klenow, P. J. (2020). Trading off consumption and COVID-19 deaths. Mimeo: Stanford University.
Hammitt, J. K. (2013). Positive vs. normative justifications for benefit-cost analysis: Implications for interpretation and policy. Review of Environmental Economics and Policy, 7(2), 199–218.
Hammitt, J. K., & Liu, J.-T. (2004). Effects of disease type and latency on the value of mortality risk. Journal of Risk and Uncertainty, 28(1), 73–95.
Hammitt, J. K., & Haninger, K. (2010). Valuing fatal risks to children and adults: Effects of disease, latency, and risk aversion. Journal of Risk and Uncertainty, 40(1), 57–83.
Hammitt, J.K., & 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), article 1, https://doi.org/10.2202/2152-2812.1009.
Hammitt, J. K., & Treich, N. (2007). Statistical vs. identified lives in benefit-cost analysis. Journal of Risk and Uncertainty, 35(1), 45–66.
Hammitt, J. K., Geng, F., Guo, X., & Nielsen, C. P. (2019). Valuing mortality risk in China: Comparing stated-preference estimates from 2005 and 2016. Journal of Risk and Uncertainty, 58(2-3), 167–186.
Harris, J. (1985). The value of life. London: Routledge and Kegan Paul.
Himmelstein, D., Thorne, D., Warren, E., & Woolhandler, S. (2009). Medical bankruptcy in the United States, 2007: Results of a national study. American Journal of Medicine, 122(8), 741–746.
Hoffmann, S., Krupnick, A., & Qin, P. (2017). Building a set of internationally comparable VSL studies: Estimates of Chinese willingness to pay to reduce mortality risk. Journal of Benefit-Cost Analysis, 8(2), 251–289.
Johannesson, M., Johansson, P.-O., & Löfgren, K.-G. (1997). On the value of changes in life expectancy: Blips versus parametric changes. Journal of Risk and Uncertainty, 15(3), 221–239.
Jones-Lee, M. (1974). The value of changes in the probability of death or injury. Journal of Political Economy, 82(4), 835–849.
Jones-Lee, M. W., Hammerton, M., & Philips, P. R. (1985). The value of safety: Results of a national sample survey. Economic Journal, 95(377), 49–72.
Jones-Lee, M. W., & Loomes, G. (1995). Scale and context effects in the valuation of transport safety. Journal of Risk and Uncertainty, 11(3), 183–203.
Kahneman, D. (2011). Thinking, fast and slow. New York: Farrar, Straus, and Giroux.
Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263–291.
Kaplow, L. (2005). The value of a statistical life and the coefficient of relative risk aversion. Journal of Risk and Uncertainty, 31(1), 23–34.
Keeney, R. L. (1980). Equity and public risk. Operations Research, 28(3-part-i), 527–534.
Keeney, R. (1997). Estimating fatalities induced by the economic costs of regulations. Journal of Risk and Uncertainty, 14(1), 5–23.
Keeney, R. (1990). Mortality risks induced by economic expenditures. Risk Analysis, 10(1), 147–159.
Klibanoff, P., Marinacci, M., & Mukerji, S. (2005). A smooth model of decision making under ambiguity. Econometrica, 73, 1846–1892.
Kniesner, T. J., Viscusi, W. K., & Ziliak, J. P. (2010). Policy relevant heterogeneity in the value of statistical life: New evidence from panel data quantile regressions. Journal of Risk and Uncertainty, 40(1), 15–31.
Krupnick, A. (2007). Mortality-risk valuation and age: Stated preference evidence. Review of Environmental Economics and Policy, 1(2), 261–282.
Lindhjem, H., Navrud, S., Braathen, N. A., & Biausque, V. (2011). Valuing mortality risk reductions from environmental, transport, and health policies: A global meta-analysis of stated-preference studies. Risk Analysis, 31(9), 1381–1407.
Liu, J.-T., Hammitt, J. K., Wang, J.-D., & Tsou, M.-W. (2005). Valuation of the risk of SARS in Taiwan. Health Economics, 14(1), 83–91.
Loewenstein, G. F., Weber, E. U., Hsee, C. K., & Welch, E. S. (2001). Risk as feelings. Psychological Bulletin, 127(2), 267–286.
Margolis, H. (1996). Dealing with risk: Why the public and the experts disagree on environmental issues. University of Chicago Press.
Masterman, C. J., & 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.
McDonald, R. L., Chilton, S. M., Jones-Lee, M. W., & Metcalf, H. R. T. (2016). Dread and latency impacts on a VSL for cancer risk reductions. Journal of Risk and Uncertainty, 52(2), 137–161.
Murphy, K. M., & Topel, R. H. (2006). The value of health and longevity. Journal of Political Economy, 114(5), 871–904.
Ng, Y.-K. (1992). The older the more valuable: Divergence between utility and dollar values of life as one ages. Journal of Economics, 55(1), 1–16.
Pratt, J. W., & Zeckhauser, R. J. (1996). Willingness to pay and the distribution of risk and wealth. Journal of Political Economy, 104(4), 747–763.
Rheinberger, C. M. (2011). A mixed logit approach to study preferences for safety on alpine roads. Environmental and Resource Economics, 49(1), 121–146.
Rheinberger, C. M., & Treich, N. (2017). Attitudes toward catastrophe. Environmental and Resource Economics, 67(3), 609–636.
Riddel, M., & Shaw, W. D. (2006). A theoretically-consistent empirical model of non-expected utility: An application to nuclear-waste transport. Journal of Risk and Uncertainty, 32(2), 131–150.
Robinson, L. A. (2007). How US government agencies value mortality risk reductions. Review of Environmental Economics and Policy, 1(2), 283–299.
Robinson, L.A., & Hammitt, J.K. (2011). Behavioral economics and the conduct of benefit-cost analysis: Towards principles and standards. Journal of Benefit-Cost Analysis, 2(2), article 5, https://doi.org/10.2202/2152-2812.1059. Reprinted in S. Farrow & R.O. Zerbe Jr. (Eds.), Principles and Standards for Benefit-Cost Analysis. Chapter 10, 317–363. Cheltenham, UK: Edward Elgar, 2013.
Robinson, L. A., Raich, W., Hammitt, J. K., & O’Keeffe, L. (2019). Valuing children’s fatality risk reductions. Journal of Benefit-Cost Analysis, 10(2), 156–177.
Rosen, S. (1988). The value of changes in life expectancy. Journal of Risk and Uncertainty, 1(3), 285–304.
Rothshchild, M., & Stiglitz, J. (1970). Increasing risk: I. A definition. Journal of Economic Theory, 2(3), 225–243.
Schelling, T. C. (1968). The life you save may be your own. In S. Chase (Ed.), Problems in public expenditure analysis (pp. 143–144). Brookings: Washington, D.C.
Shepard, D. S., & Zeckhauser, R. J. (1984). Survival versus consumption. Management Science, 30(4), 423–439.
Shogren, J.F. (2005). Economics of diet and health: Research challenges. Food Economics – Acta Agriculturae Scandinavica, Section C, 2(3,4), 117–127.
Shogren, J. F., & Thunström, L. (2016). Do we need a new behavioral benchmark for BCA? Journal of Benefit-Cost Analysis, 7(1), 92–106.
Shrime, M. G., Weinstein, M. C., Hammitt, J. K., Cohen, J. L., & Salomon, J. A. (2018). Trading bankruptcy for health: A discrete-choice experiment. Value in Health, 21(1), 95–104.
Slovic, P., Fischhoff, B., & Lichtenstein, S. (1984). Behavioral decision theory perspectives on risk and safety. Acta Psychologica, 56(1-3), 183–203.
Slovic, P., Finucane, M., Peters, E., & MacGregor, D. G. (2004). Risk as analysis and risk as feelings: Some thoughts about affect, reason, risk, and rationality. Risk Analysis, 24(2), 311–322.
Slovic, P. (1987). Perception of risk. Science, 236(4799), 280–285.
Smith, J. E., & Keeney, R. L. (2005). Your money or your life: A prescriptive model for health, safety, and consumption decisions. Management Science, 51(9), 1309–1325.
Subramanian, U., & Cropper, M. (2000). Public choices between life saving programs: The tradeoff between qualitative factors and lives saved. Journal of Risk and Uncertainty, 21(1), 117–149.
Thaler, R. (1985). Mental accounting and consumer choice. Marketing Science, 4(3), 199–214.
Thunström, L., Newbold, S. C., Finnoff, D., Ashworth, M., & Shogren, J. F. (2020). The benefits and costs of using social distancing to flatten the curve for COVID-19. Journal of Benefit-Cost Analysis, 11(2), 179–195.
Trautmann, S., & van de Kuilen, G. (2015). Ambiguity attitudes. The Wiley Blackwell Handbook of Judgment and Decision Making. 89–116. Chichester: Wiley.
Treich, N. (2010). The value of a statistical life under ambiguity aversion. Journal of Environmental Economics and Management, 59(1), 15–26.
Viscusi, W. K. (1994a). Mortality effects of regulatory costs and policy evaluation criteria. RAND Journal of Economics, 225, 94–109.
Viscusi, W. K. (1994b). Risk-risk analysis. Journal of Risk and Uncertainty, 8, 5–18.
Viscusi, W. K. (2009). The devaluation of life. Regulation and Governance, 3(2), 103–127.
Viscusi, W. K. (2010). Policy challenges of the heterogeneity of the value of statistical life. Foundations and Trends in Microeconomics, 6(2), 99–172.
Viscusi, W. K., & 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.
Viscusi, W. K., Magat, W. A., & Huber, J. (1991). Communication of ambiguous risk information. Theory and Decision, 31(2-3), 159–173.
Viscusi, W. K., & Masterman, C. J. (2017a). Anchoring biases in international estimates of the value of a statistical life. Journal of Risk and Uncertainty, 54(2), 103–128.
Viscusi, W. K., & Masterman, C. J. (2017b). Income elasticities and global values of a statistical life. Journal of Benefit-Cost Analysis, 8(2), 226–250.
Weinstein, M. C., Shepard, D. S., & Pliskin, J. S. (1980). The economic value of changing mortality probabilities: A decision-theoretic approach. Quarterly Journal of Economics, 94(2), 373–396.
Wildavsky, A. (1979). No risk is the highest risk of all. American Scientist, 67, 32–37.
Wildavsky, A. (1980). Richer is safer. The Public Interest, 60, 23–39.