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Modeling Uncertainty in Climate Change: A Multi-Model Comparison

Author

Listed:
  • Kenneth Gillingham
  • William Nordhaus
  • David Anthoff
  • Geoffrey Blanford
  • Valentina Bosetti
  • Peter Christensen
  • Haewon McJeon
  • John Reilly
  • Paul Sztorc
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.

Suggested Citation

  • Kenneth Gillingham & William Nordhaus & David Anthoff & Geoffrey Blanford & Valentina Bosetti & Peter Christensen & Haewon McJeon & John Reilly & Paul Sztorc, 2015. "Modeling Uncertainty in Climate Change: A Multi-Model Comparison," CESifo Working Paper Series 5538, CESifo.
    • Handle: RePEc:ces:ceswps:_5538
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    References listed on IDEAS

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    1. Valentina Bosetti & Carlo Carraro & Marzio Galeotti & Emanuele Massetti & Massimo Tavoni, 2006. "WITCH. A World Induced Technical Change Hybrid Model," Working Papers 2006_46, Department of Economics, University of Venice "Ca' Foscari".
    2. Lutz, Wolfgang & Butz, William P. & KC, Samir (ed.), 2014. "World Population and Human Capital in the Twenty-First Century," OUP Catalogue, Oxford University Press, number 9780198703167.
    3. Alexander Robinson & Reinhard Calov & Andrey Ganopolski, 2012. "Multistability and critical thresholds of the Greenland ice sheet," Nature Climate Change, Nature, vol. 2(6), pages 429-432, June.
    4. Philippe Aghion, 2005. "Growth and Institutions," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 32(1), pages 3-18, March.
    5. Acemoglu, Daron & Johnson, Simon & Robinson, James A., 2005. "Institutions as a Fundamental Cause of Long-Run Growth," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 6, pages 385-472, Elsevier.
    6. Rytgaard, Mette, 1990. "Estimation in the Pareto Distribution," ASTIN Bulletin, Cambridge University Press, vol. 20(2), pages 201-216, November.
    7. Anthoff, David & Tol, Richard S.J., 2010. "On international equity weights and national decision making on climate change," Journal of Environmental Economics and Management, Elsevier, vol. 60(1), pages 14-20, July.
    8. Clements,Michael & Hendry,David, 1998. "Forecasting Economic Time Series," Cambridge Books, Cambridge University Press, number 9780521632423, January.
    9. William D. Nordhaus & David Popp, 1997. "What is the Value of Scientific Knowledge? An Application to Global Warming Using the PRICE Model," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 1-45.
    10. Kriegler, Elmar & Petermann, Nils & Krey, Volker & Schwanitz, Valeria Jana & Luderer, Gunnar & Ashina, Shuichi & Bosetti, Valentina & Eom, Jiyong & Kitous, Alban & Méjean, Aurélie & Paroussos, Leonida, 2015. "Diagnostic indicators for integrated assessment models of climate policy," Technological Forecasting and Social Change, Elsevier, vol. 90(PA), pages 45-61.
    11. Edmonds, Jae & Reilly, John, 1983. "A long-term global energy- economic model of carbon dioxide release from fossil fuel use," Energy Economics, Elsevier, vol. 5(2), pages 74-88, April.
    12. Valentina Bosetti, Carlo Carraro, Marzio Galeotti, Emanuele Massetti, Massimo Tavoni, 2006. "A World induced Technical Change Hybrid Model," The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 13-38.
    13. Peck, Stephen C. & Teisberg, Thomas J., 1993. "Global warming uncertainties and the value of information: an analysis using CETA," Resource and Energy Economics, Elsevier, vol. 15(1), pages 71-97, March.
    14. Geoffrey Blanford & James Merrick & Richard Richels & Steven Rose, 2014. "Trade-offs between mitigation costs and temperature change," Climatic Change, Springer, vol. 123(3), pages 527-541, April.
    15. David Anthoff & Richard Tol, 2013. "Erratum to: The uncertainty about the social cost of carbon: A decomposition analysis using fund," Climatic Change, Springer, vol. 121(2), pages 413-413, November.
    16. Martin L. Weitzman, 2009. "On Modeling and Interpreting the Economics of Catastrophic Climate Change," The Review of Economics and Statistics, MIT Press, vol. 91(1), pages 1-19, February.
    17. Valentina Bosetti & Carlo Carraro & Emanuele Massetti & Massimo Tavoni (ed.), 2014. "Climate Change Mitigation, Technological Innovation and Adaptation," Books, Edward Elgar Publishing, number 14279.
    18. Robert T. Clemen & Robert L. Winkler, 1999. "Combining Probability Distributions From Experts in Risk Analysis," Risk Analysis, John Wiley & Sons, vol. 19(2), pages 187-203, April.
    19. Mort Webster, 2002. "The Curious Role of "Learning" in Climate Policy: Should We Wait for More Data?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 97-119.
    20. Richard L. Revesz & Peter H. Howard & Kenneth Arrow & Lawrence H. Goulder & Robert E. Kopp & Michael A. Livermore & Michael Oppenheimer & Thomas Sterner, 2014. "Global warming: Improve economic models of climate change," Nature, Nature, vol. 508(7495), pages 173-175, April.
    21. Pizer, William A., 1999. "The optimal choice of climate change policy in the presence of uncertainty," Resource and Energy Economics, Elsevier, vol. 21(3-4), pages 255-287, August.
    22. Brian C. O'Neill & Deborah Balk & Melanie Brickman & Markos Ezra, 2001. "A Guide to Global Population Projections," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 4(8), pages 203-288.
    23. Mort Webster & Andrei Sokolov & John Reilly & Chris Forest & Sergey Paltsev & Adam Schlosser & Chien Wang & David Kicklighter & Marcus Sarofim & Jerry Melillo & Ronald Prinn & Henry Jacoby, 2012. "Analysis of climate policy targets under uncertainty," Climatic Change, Springer, vol. 112(3), pages 569-583, June.
    24. David Anthoff & Richard Tol, 2013. "The uncertainty about the social cost of carbon: A decomposition analysis using fund," Climatic Change, Springer, vol. 117(3), pages 515-530, April.
    25. Edmonds Jae & Reilly John, 1983. "Global Energy and C02 to the Year 2050," The Energy Journal, , vol. 4(3), pages 21-48, July.
    26. Baker, Erin, 2005. "Uncertainty and learning in a strategic environment: global climate change," Resource and Energy Economics, Elsevier, vol. 27(1), pages 19-40, January.
    27. Edmonds, Jae & Reilly, John, 1983. "Global energy production and use to the year 2050," Energy, Elsevier, vol. 8(6), pages 419-432.
    28. Roy Batchelor & Pami Dua, 1995. "Forecaster Diversity and the Benefits of Combining Forecasts," Management Science, INFORMS, vol. 41(1), pages 68-75, January.
    29. Richard B. Freeman, 2010. "What Does Global Expansion of Higher Education Mean for the United States?," NBER Chapters, in: American Universities in a Global Market, pages 373-404, National Bureau of Economic Research, Inc.
    30. -, 2009. "The economics of climate change," Sede Subregional de la CEPAL para el Caribe (Estudios e Investigaciones) 38679, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
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    More about this item

    Keywords

    climate change; integrated assessment models;

    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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