G2TT
来源类型Working Paper
规范类型报告
DOI10.3386/w21637
来源IDWorking Paper 21637
Modeling Uncertainty in Climate Change: A Multi-Model Comparison
Kenneth Gillingham; William D. Nordhaus; David Anthoff; Geoffrey Blanford; Valentina Bosetti; Peter Christensen; Haewon McJeon; John Reilly; Paul Sztorc
发表日期2015-10-19
出版年2015
语种英语
摘要The economics of climate change involves a vast array of uncertainties, complicating both the analysis and development of climate policy. This study presents the results of the first comprehensive study of uncertainty in climate change using multiple integrated assessment models. The study looks at model and parametric uncertainties for population, total factor productivity, and climate sensitivity. It estimates the pdfs of key output variables, including CO2 concentrations, temperature, damages, and the social cost of carbon (SCC). One key finding is that parametric uncertainty is more important than uncertainty in model structure. Our resulting pdfs also provide insights on tail events.
主题Development and Growth ; Growth and Productivity ; Environmental and Resource Economics ; Energy ; Environment
URLhttps://www.nber.org/papers/w21637
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/579312
推荐引用方式
GB/T 7714
Kenneth Gillingham,William D. Nordhaus,David Anthoff,et al. Modeling Uncertainty in Climate Change: A Multi-Model Comparison. 2015.
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