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, John Reilly

Research output: Contribution to journalArticle


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.

Original languageEnglish (US)
Pages (from-to)791-826
Number of pages36
JournalJournal of the Association of Environmental and Resource Economists
Issue number4
StatePublished - Oct 1 2018


  • Climate policy
  • Integrated assessment models
  • Uncertainty

ASJC Scopus subject areas

  • Economics and Econometrics
  • Nature and Landscape Conservation
  • Management, Monitoring, Policy and Law

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