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dc.contributor.authorCeronsky, Meganen
dc.contributor.authorAnthoff, Daviden
dc.contributor.authorHepburn, Cameronen
dc.contributor.authorTol, Richard S. J.en
dc.date.accessioned2011-06-30-
dc.date.accessioned2011-09-30T10:01:27Z-
dc.date.available2011-09-30T10:01:27Z-
dc.date.issued2011-
dc.identifier.urihttp://hdl.handle.net/10419/50174-
dc.description.abstractResearch into the social cost of carbon emissions - the marginal social damage from a tonne of emitted carbon - has tended to focus on best guess scenarios. Such scenarios generally ignore the potential for low-probability, high-damage events, which are critically important to determining optimal climate policy. This paper uses the FUND integrated assessment model to investigate the influence of three types of low-probability, high-impact climate responses on the social cost of carbon: the collapse of the Atlantic Ocean Meridional Overturning Circulation; large scale dissociation of oceanic methane hydrates; and climate sensitivities above best guess levels. We find that incorporating these events can increase the social cost of carbon by a factor of over 3.en
dc.language.isoengen
dc.publisher|aThe Economic and Social Research Institute (ESRI) |cDublinen
dc.relation.ispartofseries|aESRI Working Paper |x392en
dc.subject.ddc330en
dc.subject.keywordclimate changeen
dc.subject.keywordcatastropheen
dc.subject.keywordnon-linearityen
dc.subject.keywordimpactsen
dc.titleChecking the price tag on catastrophe: The social cost of carbon under non-linear climate response-
dc.typeWorking Paperen
dc.identifier.ppn663372984en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen

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