Modeling Uncertainty in Integrated Assessment of Climate Change: A Multimodel Comparison

Kenneth Gillingham, William Nordhaus, David Anthoff, Geoffrey Blanford, Valentina Bosetti, Peter Christensen, Haewon McJeon and John Reilly

Journal of the Association of Environmental and Resource Economists, 2018, vol. 5, issue 4, 791 - 826

Abstract: The economics of climate change involves a vast array of uncertainties, complicating our understanding of climate change. This study explores uncertainty in baseline trajectories using multiple integrated assessment models commonly used in climate policy development. The study examines model and parametric uncertainties for population, total factor productivity, and climate sensitivity. It estimates the probability distributions of key output variables, including CO2 concentrations, temperature, damages, and social cost of carbon (SCC). One key finding is that parametric uncertainty is more important than uncertainty in model structure. Our resulting distributions provide a useful input into climate policy discussions.

Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (34)

Downloads: (external link)
http://dx.doi.org/10.1086/698910 (application/pdf)
http://dx.doi.org/10.1086/698910 (text/html)
Access to the online full text or PDF requires a subscription.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ucp:jaerec:doi:10.1086/698910

Access Statistics for this article

More articles in Journal of the Association of Environmental and Resource Economists from University of Chicago Press
Bibliographic data for series maintained by Journals Division ().