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Uncertainty in Integrated Assessment Models of Climate Change: Alternative Analytical Approaches

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Author Info

  • Alexander Golub

    (Environmental Defense Fund)

  • Daiju Narita

    (Kiel Institute for the World Economy)

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    Abstract

    Uncertainty plays a key role in the economics of climate change, and the discussions surrounding its implications for climate policy are far from settled. We give an overview of the literature on uncertainty in integrated assessment models of climate change and identify some future research needs. In the paper, we pay particular attention to three different and complementary approaches that model uncertainty in association with integrated assessment models: the discrete uncertainty modeling, the most common way to incorporate uncertainty in complex climate-economy models: the real options analysis, a simplified way to identify and value flexibility: the continuous-time stochastic dynamic programming, which is computationally most challenging but necessary if persistent stochasticity is considered.

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    Bibliographic Info

    Paper provided by Fondazione Eni Enrico Mattei in its series Working Papers with number 2011.02.

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    Date of creation: Jan 2011
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    Handle: RePEc:fem:femwpa:2011.02

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    Related research

    Keywords: Uncertainty; Learning; Economics of Climate Change; Integrated Assessment Models; Real Options;

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    Cited by:
    1. Daiju Narita & Martin F. Quaas, 2012. "Adaptation to Climate Change and Climate Variability: Do It Now or Wait and See?," Kiel Working Papers 1809, Kiel Institute for the World Economy.
    2. Gren, Ing-Marie & Carlsson, Mattias & Elofsson, Katarina & Munnich, Miriam, 2012. "Stochastic carbon sinks for combating carbon dioxide emissions in the EU," Energy Economics, Elsevier, vol. 34(5), pages 1523-1531.

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