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Risk and Aversion in the Integrated Assessment of Climate Change

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  • Crost, Benjamin
  • Traeger, Christian P.

Abstract

We analyze the impact of damage uncertainty on optimal mitigation policies in the integrated assessment of climate change. Usually, these models analyzeuncertainty by averaging deterministic paths. In contrast, we build a consistentmodel deriving optimal policy rules under persistent uncertainty. For this purpose,we construct a close relative of the DICE model in a recursive dynamic programming framework. Our recursive approach allows us to disentangle effects of risk, risk aversion, and aversion to intertemporal substitution. We analyze different ways how damage uncertainty can affect the DICE equations. We compare the optimal policies to those resulting from the wide-spread ex-ante uncertainty approach averaging deterministic paths.
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Suggested Citation

  • Crost, Benjamin & Traeger, Christian P., 2010. "Risk and Aversion in the Integrated Assessment of Climate Change," CUDARE Working Papers 90935, University of California, Berkeley, Department of Agricultural and Resource Economics.
    • Handle: RePEc:ags:ucbecw:90935
    DOI: 10.22004/ag.econ.90935
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    Cited by:

    1. Lemoine, Derek M. & Traeger, Christian P., 2010. "Tipping Points and Ambiguity in the Economics of Climate Change," CUDARE Working Papers 98127, University of California, Berkeley, Department of Agricultural and Resource Economics.
    2. van den Bergh, J.C.J.M. & Botzen, W.J.W., 2015. "Monetary valuation of the social cost of CO2 emissions: A critical survey," Ecological Economics, Elsevier, vol. 114(C), pages 33-46.
    3. Svenja Hector(), "undated". "Accounting for Different Uncertainties: Implications for Climate Investments?," Working Papers ETH-RC-13-007, ETH Zurich, Chair of Systems Design.
    4. Mariia Belaia & Michael Funke & Nicole Glanemann, 2017. "Global Warming and a Potential Tipping Point in the Atlantic Thermohaline Circulation: The Role of Risk Aversion," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 67(1), pages 93-125, May.
    5. Christian Traeger, 2014. "A 4-Stated DICE: Quantitatively Addressing Uncertainty Effects in Climate Change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 59(1), pages 1-37, September.
    6. Kame Babilla, Thierry, 2014. "Food Price Volatility implications for Trade and Monetary Policy between Nigeria and CEMAC: a Bayesian DSGE model approach," Conference papers 332525, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    7. Iverson, Terrence, 2012. "Communicating Trade-offs amid Controversial Science: Decision Support for Climate Policy," Ecological Economics, Elsevier, vol. 77(C), pages 74-90.
    8. Svenja Hector, 2013. "Accounting for Different Uncertainties: Implications for Climate Investments?," Working Papers 2013.107, Fondazione Eni Enrico Mattei.
    9. Kousky, Carolyn & Kopp, Robert E. & Cooke, Roger M., 2011. "Risk premia and the social cost of carbon: A review," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 5, pages 1-24.
    10. Anderson, Evan W. & Brock, William & Sanstad, Alan H., 2016. "Robust Consumption and Energy Decisions," 2017 Allied Social Sciences Association (ASSA) Annual Meeting, January 6-8, 2017, Chicago, Illinois 250117, Agricultural and Applied Economics Association.
    11. Frank Ackerman & Elizabeth Stanton & Ramón Bueno, 2013. "Epstein–Zin Utility in DICE: Is Risk Aversion Irrelevant to Climate Policy?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 56(1), pages 73-84, September.
    12. Jensen, Svenn & Traeger, Christian P., 2014. "Optimal climate change mitigation under long-term growth uncertainty: Stochastic integrated assessment and analytic findings," European Economic Review, Elsevier, vol. 69(C), pages 104-125.
    13. Jasper N. Meya & Ulrike Kornek & Kai Lessmann, 2018. "How empirical uncertainties influence the stability of climate coalitions," International Environmental Agreements: Politics, Law and Economics, Springer, vol. 18(2), pages 175-198, April.
    14. Yongyang Cai & Kenneth L. Judd & Thomas S. Lontzek, 2013. "The Social Cost of Stochastic and Irreversible Climate Change," NBER Working Papers 18704, National Bureau of Economic Research, Inc.
    15. Erin Baker & Olaitan Olaleye & Lara Aleluia Reis, 2015. "Decision Frameworks and the Investment in R&D," Working Papers 2015.42, Fondazione Eni Enrico Mattei.
    16. Mort Webster & Nidhi Santen & Panos Parpas, 2012. "An approximate dynamic programming framework for modeling global climate policy under decision-dependent uncertainty," Computational Management Science, Springer, vol. 9(3), pages 339-362, August.
    17. Kopp, Robert E. & Mignone, Bryan K., 2012. "The US government's social cost of carbon estimates after their first two years: Pathways for improvement," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 6, pages 1-41.
    18. P. Ding & M. D. Gerst & A. Bernstein & R. B. Howarth & M. E. Borsuk, 2012. "Rare Disasters and Risk Attitudes: International Differences and Implications for Integrated Assessment Modeling," Risk Analysis, John Wiley & Sons, vol. 32(11), pages 1846-1855, November.
    19. Thomas S. Lontzek & Daiju Narita & Ole Wilms, 2016. "Stochastic Integrated Assessment of Ecosystem Tipping Risk," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 65(3), pages 573-598, November.
    20. Mark Kagan, 2012. "Climate Change Skepticism in the Face of Catastrophe," Tinbergen Institute Discussion Papers 12-112/VIII, Tinbergen Institute, revised 29 Sep 2014.
    21. Liu, Liqun, 2012. "Inferring the rate of pure time preference under uncertainty," Ecological Economics, Elsevier, vol. 74(C), pages 27-33.

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