IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/18607.html
   My bibliography  Save this paper

Risk Management and Climate Change

Author

Listed:
  • Howard Kunreuther
  • Geoffrey Heal
  • Myles Allen
  • Ottmar Edenhofer
  • Christopher B. Field
  • Gary Yohe

Abstract

The selection of climate policies should be an exercise in risk management reflecting the many relevant sources of uncertainty. Studies of climate change and its impacts rarely yield consensus on the distribution of exposure, vulnerability, or possible outcomes. Hence policy analysis cannot effectively evaluate alternatives using standard approaches such as expected utility theory and benefit-cost analysis. This Perspective highlights the value of robust decision-making tools designed for situations, such as evaluating climate policies, where generally agreed-upon probability distributions are not available and stakeholders differ in their degree of risk tolerance. This broader risk management approach enables one to examine a range of possible outcomes and the uncertainty surrounding their likelihoods.

Suggested Citation

  • Howard Kunreuther & Geoffrey Heal & Myles Allen & Ottmar Edenhofer & Christopher B. Field & Gary Yohe, 2012. "Risk Management and Climate Change," NBER Working Papers 18607, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:18607
    Note: EEE
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w18607.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Laure Cabantous & Denis Hilton & Howard Kunreuther & Erwann Michel-Kerjan, 2011. "Is imprecise knowledge better than conflicting expertise? Evidence from insurers’ decisions in the United States," Journal of Risk and Uncertainty, Springer, vol. 42(3), pages 211-232, June.
    2. Simon Dietz, 2011. "High impact, low probability? An empirical analysis of risk in the economics of climate change," Climatic Change, Springer, vol. 108(3), pages 519-541, October.
    3. Robert J. Lempert & David G. Groves & Steven W. Popper & Steve C. Bankes, 2006. "A General, Analytic Method for Generating Robust Strategies and Narrative Scenarios," Management Science, INFORMS, vol. 52(4), pages 514-528, April.
    4. Kunreuther, Howard & Meszaros, Jacqueline & Hogarth, Robin M. & Spranca, Mark, 1995. "Ambiguity and underwriter decision processes," Journal of Economic Behavior & Organization, Elsevier, vol. 26(3), pages 337-352, May.
    5. 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.
    6. Peter Klibanoff & Massimo Marinacci & Sujoy Mukerji, 2005. "A Smooth Model of Decision Making under Ambiguity," Econometrica, Econometric Society, vol. 73(6), pages 1849-1892, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dittrich, Ruth & Wreford, Anita & Moran, Dominic, 2016. "A survey of decision-making approaches for climate change adaptation: Are robust methods the way forward?," Ecological Economics, Elsevier, vol. 122(C), pages 79-89.
    2. John E. Bistline, 2015. "Fat-Tailed Uncertainty, Learning, And Climate Policy," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 6(02), pages 1-21.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Keck, Steffen & Diecidue, Enrico & Budescu, David V., 2014. "Group decisions under ambiguity: Convergence to neutrality," Journal of Economic Behavior & Organization, Elsevier, vol. 103(C), pages 60-71.
    2. Simon Dietz & Falk Niehörster, 2021. "Pricing ambiguity in catastrophe risk insurance," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 46(2), pages 112-132, September.
    3. Loïc Berger & Johannes Emmerling & Massimo Tavoni, 2017. "Managing Catastrophic Climate Risks Under Model Uncertainty Aversion," Management Science, INFORMS, vol. 63(3), pages 749-765, March.
    4. Marielle Brunette & Laure Cabantous & Stéphane Couture & Anne Stenger, 2013. "The impact of governmental assistance on insurance demand under ambiguity: a theoretical model and an experimental test," Theory and Decision, Springer, vol. 75(2), pages 153-174, August.
    5. Loic Berger & Massimo Marinacci, 2017. "Model Uncertainty in Climate Change Economics," Working Papers 616, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    6. M. Brunette & S. Couture & J. Foncel & S. Garcia, 2020. "The decision to insure against forest fire risk: an econometric analysis combining hypothetical real data," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 45(1), pages 111-133, January.
    7. Millner, Antony, 2013. "On welfare frameworks and catastrophic climate risks," Journal of Environmental Economics and Management, Elsevier, vol. 65(2), pages 310-325.
    8. 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.
    9. Seth D. Baum & Timothy M. Maher & Jacob Haqq-Misra, 2013. "Double catastrophe: intermittent stratospheric geoengineering induced by societal collapse," Environment Systems and Decisions, Springer, vol. 33(1), pages 168-180, March.
    10. Baker, Erin & Bosetti, Valentina & Salo, Ahti, 2016. "Finding Common Ground when Experts Disagree: Belief Dominance over Portfolios of Alternatives," MITP: Mitigation, Innovation and Transformation Pathways 243147, Fondazione Eni Enrico Mattei (FEEM).
    11. Arun S. Malik & Stephen C. Smith, 2012. "Adaptation To Climate Change In Low-Income Countries: Lessons From Current Research And Needs From Future Research," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 3(02), pages 1-22.
    12. van der Ploeg, Frederick & Rezai, Armon, 2019. "The agnostic's response to climate deniers: Price carbon!," European Economic Review, Elsevier, vol. 111(C), pages 70-84.
    13. Dietz, Simon, 2012. "The treatment of risk and uncertainty in the US social cost of carbon for regulatory impact analysis," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW), vol. 6, pages 1-12.
    14. Théodora Dupont-Courtade, 2012. "Insurance demand under ambiguity and conflict for extreme risks: Evidence from a large representative survey," Documents de travail du Centre d'Economie de la Sorbonne 12020, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    15. Simon Dietz, 2011. "The treatment of risk and uncertainty in the US Social Cost of Carbon for Regulatory Impact Analysis," GRI Working Papers 54, Grantham Research Institute on Climate Change and the Environment.
    16. W. A. Brock & A. Xepapadeas, 2015. "Modeling Coupled Climate, Ecosystems, and Economic Systems," Working Papers 2015.66, Fondazione Eni Enrico Mattei.
    17. Pezzey, John C.V. & Burke, Paul J., 2014. "Towards a more inclusive and precautionary indicator of global sustainability," Ecological Economics, Elsevier, vol. 106(C), pages 141-154.
    18. Oliver Walker & Simon Dietz, 2012. "Ambiguity and insurance: robust capital requirements and premiums," GRI Working Papers 97, Grantham Research Institute on Climate Change and the Environment.
    19. Thomas D. Pol & Ekko C. Ierland & Silke Gabbert, 2017. "Economic analysis of adaptive strategies for flood risk management under climate change," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 22(2), pages 267-285, February.
    20. 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.

    More about this item

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:18607. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.