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The Perception and Valuation of the Risks of Climate Change: A Rational and Behavioral Blend

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  • W. Kip Viscusi
  • Richard Zeckhauser

Abstract

Over 250 respondents--graduate students in law and public policy--assessed the risks of climate change and valued climate-change mitigation policies. Many aspects of their behavior were consistent with rational behavior. For example, respondents successfully estimated distributions of temperature increases in Boston by 2100. The median value of best estimates was 1-3 degrees Fahrenheit. In addition, people with higher risk estimates, whether for temperature or related risks (e.g., hurricane intensities) offered more to avoid warming. Median willingness to pay (WTP) to avoid global warming was $0.50/gallon, and 3% of income. And important scope tests (e.g., respondents paid more for bigger accomplishments) were passed. However, significant behavioral propensities also emerged. For example, accessibility of neutral information on global warming boosted risk estimates. Warming projections correlated with estimates for unrelated risks, such as earthquakes and heart attacks. The implied WTP for avoidance was much greater when asked as a percent of income than as a gas tax, a percent thinking bias. Home team betting showed itself; individuals predicting a Bush victory predicted smaller temperature increases. In the climate-change arena, behavioral decision tendencies are like a fun-house mirror: They magnify some estimates and shrink others, but the contours of rational decision remain recognizable.

Suggested Citation

  • W. Kip Viscusi & Richard Zeckhauser, 2005. "The Perception and Valuation of the Risks of Climate Change: A Rational and Behavioral Blend," NBER Working Papers 11863, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:11863
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    References listed on IDEAS

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    1. Israel Debra & Levinson Arik, 2004. "Willingness to Pay for Environmental Quality: Testable Empirical Implications of the Growth and Environment Literature," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 3(1), pages 1-31, February.
    2. R. H. Strotz, 1955. "Myopia and Inconsistency in Dynamic Utility Maximization," Review of Economic Studies, Oxford University Press, vol. 23(3), pages 165-180.
    3. Joseph E. Aldy & Scott Barrett & Robert N. Stavins, 2003. "Thirteen plus one: a comparison of global climate policy architectures," Climate Policy, Taylor & Francis Journals, vol. 3(4), pages 373-397, December.
    4. Kahneman, Daniel & Knetsch, Jack L., 1992. "Valuing public goods: The purchase of moral satisfaction," Journal of Environmental Economics and Management, Elsevier, vol. 22(1), pages 57-70, January.
    5. Kahneman, Daniel & Tversky, Amos, 1979. "Prospect Theory: An Analysis of Decision under Risk," Econometrica, Econometric Society, vol. 47(2), pages 263-291, March.
    6. David Laibson, 1997. "Golden Eggs and Hyperbolic Discounting," The Quarterly Journal of Economics, Oxford University Press, vol. 112(2), pages 443-478.
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    Cited by:

    1. Onno J. Kuik & Barbara Bucher & Michela Catenacci & Etem Karakaya & Richard S.J. Tol, 2006. "Methodological aspects of recent climate change damage cost studies," Working Papers FNU-122, Research unit Sustainability and Global Change, Hamburg University, revised Dec 2006.

    More about this item

    JEL classification:

    • Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water
    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies

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