Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/142287
Authors: 
Gillingham, Kenneth
Nordhaus, William
Anthoff, David
Bosetti, Valentina
McJeon, Haewon
Blanford, Geoffrey
Christensen, Peter
Reilly, John
Sztorc, Paul
Year of Publication: 
2016
Series/Report no.: 
Nota di Lavoro, Fondazione Eni Enrico Mattei 13.2016
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.
Subjects: 
Climate Change
Integrated Assessment Models
JEL: 
Q54
Document Type: 
Working Paper

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