@article{Gillingham:232219,
      recid = {232219},
      author = {Gillingham, Kenneth and Nordhaus, William and Anthoff,  David and Bosetti, Valentina and McJeon, Haewon and  Blanford, Geoffrey and Christensen, Peter and Reilly, John  and Sztorc, Paul},
      title = {Modeling Uncertainty in Climate Change: A Multi-Model  Comparison},
      address = {2016-03-01},
      number = {839-2016-55870},
      series = {MITP},
      pages = {69},
      month = {Mar},
      year = {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.},
      url = {http://ageconsearch.umn.edu/record/232219},
      doi = {https://doi.org/10.22004/ag.econ.232219},
}