Managing Climate Change Under Uncertainty: Recursive Integrated Assessment at an Inflection Point

Derek Lemoine and Ivan Rudik

ISU General Staff Papers from Iowa State University, Department of Economics

Abstract: Uncertainty is critical to questions about climate change policy. Recently developed recursive integrated assessment models have become the primary tool for studying and quantifying the policy implications of uncertainty. The first wave of recursive models has made valuable, pioneering efforts at analyzing disparate sources of uncertainty. We decompose the channels through which uncertainty affects policy and quantify them in a recursive extension of a benchmark integrated assessment model. We argue that frontier numerical methods will enable the next generation of recursive models to better capture the information structure of climate change and to thereby ask new types of questions about climate change policy

Date: 2016-10-01
New Economics Papers: this item is included in nep-dge, nep-ene and nep-env
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Citations: View citations in EconPapers (8)

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Related works:
Journal Article: Managing Climate Change Under Uncertainty: Recursive Integrated Assessment at an Inflection Point (2017)
Working Paper: Managing Climate Change Under Uncertainty: Recursive Integrated Assessment at an Inflection Point (2017)
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Persistent link: https://EconPapers.repec.org/RePEc:isu:genstf:201610010700001015

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