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Uncertainty, Climate Change and the Global Economy

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  • Persson, Torsten
  • von Below, David

Abstract

The paper illustrates how one may assess our comprehensive uncertainty about the various relations in the entire chain from human activity to climate change. Using a modified version of the RICE model of the global economy and climate, we perform Monte Carlo simulations, where full sets of parameters in the model's most important equations are drawn randomly from pre-specified distributions, and present results in the forms of fan charts and histograms. Our results suggest that under a Business-As-Usual scenario, the median increase of global mean temperature in 2105 relative to 1900 will be around 4.5 °C. The 99 percent confidence interval ranges from 3.0 °C to 6.9 °C. Uncertainty about socio-economic drivers of climate change lie behind a non-trivial part of this uncertainty about global warming.

Suggested Citation

  • Persson, Torsten & von Below, David, 2008. "Uncertainty, Climate Change and the Global Economy," CEPR Discussion Papers 7024, C.E.P.R. Discussion Papers.
    • Handle: RePEc:cpr:ceprdp:7024
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    References listed on IDEAS

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    1. Warwick J. McKibbin & David Pearce & Alison Stegman, 2004. "Can the IPCC SRES Be Improved?," Energy & Environment, , vol. 15(3), pages 351-362, July.
    2. Stern,Nicholas, 2007. "The Economics of Climate Change," Cambridge Books, Cambridge University Press, number 9780521700801.
    3. 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.
    4. William D. Nordhaus, 2006. "The "Stern Review" on the Economics of Climate Change," NBER Working Papers 12741, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Desmet, Klaus & Rossi-Hansberg, Esteban, 2015. "On the spatial economic impact of global warming," Journal of Urban Economics, Elsevier, vol. 88(C), pages 16-37.
    2. Philippe Aghion & Antoine Dechezleprêtre & David Hémous & Ralf Martin & John Van Reenen, 2016. "Carbon Taxes, Path Dependency, and Directed Technical Change: Evidence from the Auto Industry," Journal of Political Economy, University of Chicago Press, vol. 124(1), pages 1-51.
    3. Warwick McKibbin & Adele Morris & Peter Wilcoxen, 2008. "Expecting The Unexpected: Macroeconomic Volatility And Climate Policy," CAMA Working Papers 2008-35, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    4. Daron Acemoglu & Philippe Aghion & Leonardo Bursztyn & David Hemous, 2012. "The Environment and Directed Technical Change," American Economic Review, American Economic Association, vol. 102(1), pages 131-166, February.
    5. BRECHET, Thierry & THENIE, Julien & ZEIMES, Thibaut & ZUBER, Stéphane, 2010. "The benefits of cooperation under uncertainty: the case of climate change," LIDAM Discussion Papers CORE 2010062, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

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    More about this item

    Keywords

    Climate-economy models; Global warming; Monte carlo study;
    All these keywords.

    JEL classification:

    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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