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Dynamic Benefit-Cost Analysis for Uncertain Futures

  • Susan E. Dudley (a1), Daniel R. Pérez (a2), Brian F. Mannix (a3) and Christopher Carrigan (a4)


“Uncertain futures” refers to a set of policy problems that possess some combination of the following characteristics: (i) they potentially cause irreversible changes; (ii) they are widespread, so that policy responses may make sense only on a global scale; (iii) network effects are difficult to understand and may amplify (or moderate) consequences; (iv) time horizons are long; and (v) the likelihood of catastrophic outcomes is unknown or even unknowable. These characteristics tend to make uncertain futures intractable to market solutions because property rights are not clearly defined and essential information is unavailable. These same factors also pose challenges for benefit-cost analysis (BCA) and other traditional decision analysis tools. The diverse policy decisions confronting decision-makers today demand “dynamic BCA,” analytic frameworks that incorporate uncertainties and trade-offs across policy areas, recognizing that: perceptions of risks can be uninformed, misinformed, or inaccurate; risk characterization can suffer from ambiguity; and experts’ tendency to focus on one risk at a time may blind policymakers to important trade-offs. Dynamic BCA – which recognizes trade-offs, anticipates the need to learn from experience, and encourages learning – is essential for lowering the likelihoods and mitigating the consequences of uncertain futures while encouraging economic growth, reducing fragility, and increasing resilience.

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Abbas, Ali E. and Howard, Ronald A.. 2015. Foundations of Decision Analysis. Pearson Education: Harlow, United Kingdom.
Arrow, Kenneth J. and Fisher, Anthony C.. 1974. “Environmental Preservation, Uncertainty, and Irreversibility.” The Quarterly Journal of Economics, 88(2): 312319.
Breyer, Stephen G. 1993. Breaking the Vicious Circle. The Oliver Wendell Holmes Lectures. Vol. 1992. Cambridge, MA: Harvard University Press.
Budish, Eric, Cramton, Peter, and Shim, John. 2015. “The High-Frequency Trading Arms Race: Frequent Batch Auctions as a Market Design Response.” Quarterly Journal of Economics, 130(4): 15471621.
Chilton, Susan, Jones-Lee, Michael, Kiraly, Francis, Metcalf, Hugh, and Pang, Wei. 2006. “Dread Risks.” Journal of Risk and Uncertainty, 33(3): 165182.
Cox, Louis Anthony. Jr 2008. “Some Limitations of “Risk = Threat X Vulnerability X Consequence” for Risk Analysis of Terrorist Attacks.” Risk Analysis, 28(6): 1749.
Cox, , Louis Anthony Jr. 2019. “Muddling-Through and Deep Learning for Managing Large-Scale Uncertain Risks.” Journal of Benefit-Cost Analysis, 10(2).
Darby, John L. 2004. Estimating Terrorist Risk with Possibility Theory: Los Alamos National Laboratory.
Depoy, Jennifer Mae, Phelan, James, Sholander, Peter, Smith, Bryan, Varnado, G. Bruce, and Wyss, Gregory Dane. 2005. “Risk Assessment for Physical and Cyber Attacks on Critical Infrastructures.” IEEE: United States.
Francesca, Dominici, Greenstone, Michael, and Sunstein, Cass R.. 2014. “Particulate Matter Matters.” Science, 344(6181): 257259.
Dudley, Susan E. 2013. “A Retrospective Review of Retrospective Review.” Available at
Golany, Boaz, Kaplan, Edward H., Marmur, Abraham, and Rothblum, Uriel G.. 2009. “Nature Plays with Dice—Terrorists do Not: Allocating Resources to Counter Strategic Versus Probabilistic Risks.” European Journal of Operational Research, 192(1): 198208.
House (Select) Intelligence Committee Hearing . 2014. Washington, DC: Federal Information & News Dispatch, Inc.
Intergovernmental Panel on Climate Change. Global Warming of 1.5°C: An IPCC Special Report on the Impacts of Global Warming of 1.5°C Above Pre-Industrial Levels and Related Global Greenhouse Gas Emission Pathways, in the Context of Strengthening the Global Response to the Threat of Climate Change, Sustainable Development, and Efforts to Eradicate Poverty: Intergovernmental Panel on Climate Change, 2018.
Kahneman, Daniel. 2003. “Maps of Bounded Rationality: Psychology for Behavioral Economics.” The American Economic Review, 93(5): 14491475.
Kahneman, Daniel and Tversky, Amos. 1979. “Prospect Theory: An Analysis of Decision Under Risk.” In Handbook of the Fundamentals of Financial Decision Making. Part I, pp. 99127.
Keeney, Ralph L. 1990. “Mortality Risks Induced by Economic Expenditures.” Risk Analysis: An Official Publication of the Society for Risk Analysis, 10(1): 147159.
Knake, Robert K. 2017. A Cyberattack on the U.S. Power Grid: Council on Foreign Relations.
Kuran, Timur and Sunstein, Cass R.. 1999. “Availability Cascades and Risk Regulation.” Stanford Law Review, 51(4): 683768.
Lindblom, Charles. 1959. The Science of “Muddling through”. Public Administration Review, 19(3): 79.
Linquiti, Peter and Vonortas, Nicholas. 2012. “The Value of Flexibility in Adapting to Climate Change.” Climate Change Economics, 3(2): 801833.
Lutter, Randall, Morrall, John F., and Viscusi, W. Kip. 1999. “The Cost-Per-Life-Saved Cutoff for Safety Enhancing Regulations.” Economic Inquiry, 37(4): 599608.
Mannix, Brian. 2018. “Benefit-Cost Analysis and Emerging Technologies.” The Hastings Center Report, 48(Suppl 1, S1): S20.
National Research Council. 2010. “Review of the Department of Homeland Security’s Approach to Risk Analysis.” National Academies Press.
O’Brien, Niall Joseph and Cummins, Enda J.. 2011. “A Risk Assessment Framework for Assessing Metallic Nanomaterials of Environmental Concern: Aquatic Exposure and Behavior.” Risk Analysis, 31(5): 706726.
Ostrom, Elinor. 1990. Governing the Commons. 1st ed. Cambridge: Cambridge University Press.
Oussalah, Mourad and Newby, Martin. 2004Combination of Qualitative and Quantitative Sources of Knowledge for Risk Assessment in the Framework of Possibility Theory.” International Journal of General Systems, 33(2-3): 133151.
Pawson, Ray. 2013 The Science of Evaluation: A Realist Manifesto. London: SAGE.
Posner, Richard A. 2004. Catastrophe Risk and Response. Oxford: Oxford University Press.
Pugh, Jonathan. 2016. “Driven to Extinction? the Ethics of Eradicating Mosquitoes with Gene-Drive Technologies.” Journal of Medical Ethics, 42(9): 578581.
Raiffa, Howard. 1968. Decision Analysis: Introductory Lectures on Choices Under Uncertainty. 1 ed. Reading, MA: Addison-Wesley.
Roberts, Fred S. 2019. “From Football to Oil Rigs: Risk Assessment for Combined Cyber and Physical Attacks.” Journal of Benefit-Cost Analysis, 10(2).
Rossi, Peter H., Lipsey, Mark W., and Freeman, Howard E.. 2004. Evaluation, 7th ed. Thousand Oaks, CA: Sage Publications.
Scouras, James. 2019. “Nuclear War as a Global Catastrophic Risk.” Journal of Benefit-Cost Analysis, 10(2).
Scriven, Michael. 1997. “Truth and Objectivity in Evaluation.” In Evaluation for the 21st Century: A Handbook, 477. Thousand Oaks: SAGE Publications, Inc.
Sprenger, Charles. 2015. “An Endowment Effect for Risk: Experimental Tests of Stochastic Reference Points.” Journal of Political Economy, 123(6): 14561499.
Sunstein, Cass R. 2006. “Irreversible and Catastrophic.” Cornell Law Review 91(4): 841.
Taleb, Nassim Nicholas. 2007. Black Swan: The Impact of the Highly Improbable. New York: Random House.
U.S. Department of Energy. 2017. Quadrennial Energy Review. Transforming the Nation’s Electricity System: The Second Installment of the QER. Washington, DC: US DOE.
Viscusi, W. Kip. 2019. “Responsible Precautions for Uncertain Environmental Risks.” Journal of Benefit-Cost Analysis, 10(2).
W. Kip., Viscusi 2009. “Valuing Risks of Death from Terrorism and Natural Disasters.” Journal of Risk and Uncertainty, 38(3): 191213.
Weitzman, Martin L. 2011. “Fat-Tailed Uncertainty in the Economics of Catastrophic Climate Change.” Review of Environmental Economics and Policy, 5(2): 275292.
Whipp, Lindsay and Scannell, Kara. 2016. ‘Flash-Crash’ Trader Navinder Sarao Pleads Guilty to Spoofing. London: The Financial Times Limited.
World Economic Forum. 2018 . The Global Risks Report 2018: 13th Edition. World Economic Forum.



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