Modeling Uncertainty in Climate Change: A Multi-Model Comparison

Kenneth Gillingham, William Nordhaus, David Anthoff (), Geoffrey Blanford, Valentina Bosetti, Peter Christensen, Haewan McJeon, John Reilly and Paul Sztorc
Additional contact information
Geoffrey Blanford: Electric Power Research Institute (EPRI)
Haewan McJeon: Joint Global Change Research Institute, University of Maryland
Paul Sztorc: Dept. of Economics, Yale University

No 2022, Cowles Foundation Discussion Papers from Cowles Foundation for Research in Economics, Yale University

Abstract: 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.

Keywords: Climate change; Modeling; Uncertainty; Statistics; Integrated assessment models (search for similar items in EconPapers)
JEL-codes: C6 H4 Q4 Q5 (search for similar items in EconPapers)
Pages: 66 pages
Date: 2015-09
New Economics Papers: this item is included in nep-agr, nep-ene and nep-env
References: Add references at CitEc
Citations: View citations in EconPapers (19)

Downloads: (external link)
https://cowles.yale.edu/sites/default/files/files/pub/d20/d2022.pdf (application/pdf)
Our link check indicates that this URL is bad, the error code is: 404 Not Found

Related works:
Working Paper: Modeling Uncertainty in Climate Change: A Multi-Model Comparison (2016)
Working Paper: Modeling Uncertainty in Climate Change: A Multi-Model Comparison (2016)
Working Paper: Modeling Uncertainty in Climate Change: A Multi-Model Comparison (2016)
Working Paper: Modeling Uncertainty in Climate Change: A Multi-Model Comparison (2015)
Working Paper: Modeling Uncertainty in Climate Change: A Multi-Model Comparison (2015)
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:cwl:cwldpp:2022

Ordering information: This working paper can be ordered from
Cowles Foundation, Yale University, Box 208281, New Haven, CT 06520-8281 USA
The price is None.

Access Statistics for this paper

More papers in Cowles Foundation Discussion Papers from Cowles Foundation for Research in Economics, Yale University Yale University, Box 208281, New Haven, CT 06520-8281 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Brittany Ladd ().