Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/142287
Year of Publication: 
2016
Series/Report no.: 
Nota di Lavoro No. 13.2016
Publisher: 
Fondazione Eni Enrico Mattei (FEEM), Milano
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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