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Economic Policy in the Face of Severe Tail Events

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  • WILLIAM D. NORDHAUS

Abstract

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  • William D. Nordhaus, 2012. "Economic Policy in the Face of Severe Tail Events," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 14(2), pages 197-219, March.
    • Handle: RePEc:bla:jpbect:v:14:y:2012:i:2:p:197-219
    DOI: j.1467-9779.2011.01544.x
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    File URL: http://hdl.handle.net/10.1111/j.1467-9779.2011.01544.x
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    Cited by:

    1. Christian Traeger, 2014. "Why uncertainty matters: discounting under intertemporal risk aversion and ambiguity," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 56(3), pages 627-664, August.
    2. Bluhm, Richard & Krause, Melanie, 2022. "Top lights: Bright cities and their contribution to economic development," Journal of Development Economics, Elsevier, vol. 157(C).
    3. David Anthoff & Richard S. J. Tol, 2022. "Testing the Dismal Theorem," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 9(5), pages 885-920.
    4. Igor Fedotenkov, 2020. "A Review of More than One Hundred Pareto-Tail Index Estimators," Statistica, Department of Statistics, University of Bologna, vol. 80(3), pages 245-299.
    5. López, Ramón E. & Yoon, Sang W., 2020. "Sustainable development: Structural transformation and the consumer demand," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 22-38.
    6. Mona Ahmadiani & Susana Ferreira & Craig E. Landry, 2019. "Flood Insurance and Risk Reduction: Market Penetration, Coverage, and Mitigation in Coastal North Carolina," Southern Economic Journal, John Wiley & Sons, vol. 85(4), pages 1058-1082, April.
    7. Nordhaus, William, 2013. "Integrated Economic and Climate Modeling," Handbook of Computable General Equilibrium Modeling, in: Peter B. Dixon & Dale Jorgenson (ed.), Handbook of Computable General Equilibrium Modeling, edition 1, volume 1, chapter 0, pages 1069-1131, Elsevier.
    8. 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.
    9. Zaili Zhen & Lixin Tian, 2020. "The impact of climate damage function on the social cost of carbon and economic growth rate," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(7), pages 1287-1304, October.
    10. Bluhm, Richard & Krause, Melanie, 2022. "Top lights: Bright cities and their contribution to economic development," Journal of Development Economics, Elsevier, vol. 157(C).
    11. Zhang, Hailing & Liu, Changxin & Wang, Can, 2021. "Extreme climate events and economic impacts in China: A CGE analysis with a new damage function in IAM," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    12. Nicholas Stern, 2013. "The Structure of Economic Modeling of the Potential Impacts of Climate Change: Grafting Gross Underestimation of Risk onto Already Narrow Science Models," Journal of Economic Literature, American Economic Association, vol. 51(3), pages 838-859, September.
    13. Quiggin, John, 2018. "The importance of ‘extremely unlikely’ events: tail risk and the costs of climate change," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 62(1), January.

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