Additive Damages, Fat-Tailed Climate Dynamics, and Uncertain Discounting
This paper in applied theory argues that there is a loose chain of reasoning connecting the following three basic links in the economics of climate change: 1) additive damages may be more appropriate for analyzing the impacts of global warming than multiplicative damages; 2) an uncertain feedback-forcing coefficient, which might be near one with infinitesimal probability, can cause the distribution of the future time trajectory of global temperatures to have fat tails and a high variance; 3) when highvariance additive damages are discounted at an uncertain rate of pure time preference, which might be near zero with infinitesimal probability, it can make expected present discounted disutility very large. Some possible implications for welfare analysis and climate-change policy are briefly noted.
|Date of creation:||2009|
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- Thomas Sterner & U. Martin Persson, 2008.
"An Even Sterner Review: Introducing Relative Prices into the Discounting Debate,"
Review of Environmental Economics and Policy,
Association of Environmental and Resource Economists, vol. 2(1), pages 61-76, Winter.
- Sterner, Thomas & Persson, U. Martin, 2007. "An Even Sterner Review: Introducing Relative Prices into the Discounting Debate," Discussion Papers dp-07-37, Resources For the Future.
- Martin L. Weitzman, 2009. "On Modeling and Interpreting the Economics of Catastrophic Climate Change," The Review of Economics and Statistics, MIT Press, vol. 91(1), pages 1-19, February.
- Weitzman, Martin L., 2009. "On Modeling and Interpreting the Economics of Catastrophic Climate Change," Scholarly Articles 3693423, Harvard University Department of Economics.
- Partha Dasgupta, 2007. "The Stern Review's economics of climate change," National Institute Economic Review, National Institute of Economic and Social Research, vol. 199(1), pages 4-7, January.
- Weitzman, Martin L., 1998. "Why the Far-Distant Future Should Be Discounted at Its Lowest Possible Rate," Journal of Environmental Economics and Management, Elsevier, vol. 36(3), pages 201-208, November. Full references (including those not matched with items on IDEAS)
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