Advanced Search
MyIDEAS: Login

Robust Control in Global Warming Management: An Analytical Dynamic Integrated Assessment

Contents:

Author Info

  • Hennlock, Magnus
Registered author(s):

    Abstract

    Imperfect measurement of uncertainty (deeper uncertainty) in climate sensitivity is introduced in a two-sectoral integrated assessment model (IAM) with endogenous growth, based on an extension of DICE. The household expresses ambiguity aversion and can use robust control via a `shadow ambiguity premium' on social carbon cost to identify robust climate policy feedback rules that work well over a range such as the IPCC climate sensitivity range (IPCC, 2007a). Ambiguity aversion, in combination with linear damage, increases carbon cost in a similar way as a low pure rate of time preference. However, ambiguity aversion in combination with non-linear damage would also make policy more responsive to changes in climate data observations. Perfect ambiguity aversion results in an infinite expected shadow carbon cost and a zero carbon consumption path. Dynamic programming identifies an analytically tractable solution to the IAM.

    Download Info

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
    File URL: http://www.rff.org/RFF/documents/RFF-DP-09-19.pdf
    Download Restriction: no

    Bibliographic Info

    Paper provided by Resources For the Future in its series Discussion Papers with number dp-09-19.

    as in new window
    Length:
    Date of creation: 04 May 2009
    Date of revision:
    Handle: RePEc:rff:dpaper:dp-09-19

    Contact details of provider:
    Web page: http://www.rff.org
    More information through EDIRC

    Related research

    Keywords: climate policy; carbon cost; robust control; Knightian uncertainty; ambiguity aversion; integrated asssessment;

    Find related papers by JEL classification:

    This paper has been announced in the following NEP Reports:

    References

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
    as in new window
    1. David Schmeidler, 1989. "Subjective Probability and Expected Utility without Additivity," Levine's Working Paper Archive 7662, David K. Levine.
    2. Catarina Roseta-Palma & Anastasios Xepapadeas, 2004. "Robust Control in Water Management," Journal of Risk and Uncertainty, Springer, vol. 29(1), pages 21-34, 07.
    3. Paul M Romer, 1999. "Endogenous Technological Change," Levine's Working Paper Archive 2135, David K. Levine.
    4. Sterner, Thomas & Persson, U. Martin, 2007. "An Even Sterner Review: Introducing Relative Prices into the Discounting Debate," Discussion Papers dp-07-37, Resources For the Future.
    5. Gollier, Christian & Jullien, Bruno & Treich, Nicolas, 2000. "Scientific progress and irreversibility: an economic interpretation of the 'Precautionary Principle'," Journal of Public Economics, Elsevier, vol. 75(2), pages 229-253, February.
    6. Curley, Shawn P. & Yates, J. Frank & Abrams, Richard A., 1986. "Psychological sources of ambiguity avoidance," Organizational Behavior and Human Decision Processes, Elsevier, vol. 38(2), pages 230-256, October.
    7. William D. Nordhaus, 2009. "An Analysis of the Dismal Theorem," Levine's Working Paper Archive 814577000000000116, David K. Levine.
    8. William D. Nordhaus & David Popp, 1996. "What is the Value of Scientific Knowledge? An Application to Global Warming Using the PRICE Model," Cowles Foundation Discussion Papers 1117, Cowles Foundation for Research in Economics, Yale University.
    9. Stefan Trautmann & Ferdinand Vieider & Peter Wakker, 2008. "Causes of ambiguity aversion: Known versus unknown preferences," Journal of Risk and Uncertainty, Springer, vol. 36(3), pages 225-243, June.
    10. Kahneman, Daniel & Tversky, Amos, 1979. "Prospect Theory: An Analysis of Decision under Risk," Econometrica, Econometric Society, vol. 47(2), pages 263-91, March.
    11. Fox, Craig R & Tversky, Amos, 1995. "Ambiguity Aversion and Comparative Ignorance," The Quarterly Journal of Economics, MIT Press, vol. 110(3), pages 585-603, August.
    12. Giannis Vardas & Anastasios Xepapadeas, 2010. "Model Uncertainty, Ambiguity and the Precautionary Principle: Implications for Biodiversity Management," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 45(3), pages 379-404, March.
    13. Chichilnisky, Graciela, 2000. "An axiomatic approach to choice under uncertainty with catastrophic risks," Resource and Energy Economics, Elsevier, vol. 22(3), pages 221-231, July.
    14. Camilla Froyn, 2005. "Decision Criteria, Scientific Uncertainty, and the Globalwarming Controversy," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 10(2), pages 183-211, April.
    15. Gilboa, Itzhak & Schmeidler, David, 1989. "Maxmin expected utility with non-unique prior," Journal of Mathematical Economics, Elsevier, vol. 18(2), pages 141-153, April.
    16. Gary W. Yohe & Richard S.J. Tol, 2007. "Precaution And A Dismal Theorem: Implications For Climate Policy And Climate Research," Working Papers FNU-145, Research unit Sustainability and Global Change, Hamburg University, revised Aug 2007.
    17. William D. Nordhaus, 2006. "The "Stern Review" on the Economics of Climate Change," NBER Working Papers 12741, National Bureau of Economic Research, Inc.
    18. Epstein, Larry G. & Schneider, Martin, 2003. "Recursive multiple-priors," Journal of Economic Theory, Elsevier, vol. 113(1), pages 1-31, November.
    19. Ulph, Alistair & Ulph, David, 1997. "Global Warming, Irreversibility and Learning," Economic Journal, Royal Economic Society, vol. 107(442), pages 636-50, May.
    20. Thomas J. Sargent & LarsPeter Hansen, 2001. "Robust Control and Model Uncertainty," American Economic Review, American Economic Association, vol. 91(2), pages 60-66, May.
    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 in new window

    Cited by:
    1. Richard S. J. Tol & In Chang Hwang & Frédéric Reynès, 2012. "The Effect of Learning on Climate Policy under Fat-tailed Uncertainty," Working Paper Series 5312, Department of Economics, University of Sussex.
    2. Hwang, In Chang, 2014. "A recursive method for solving a climate-economy model: value function iterations with logarithmic approximations," MPRA Paper 54782, University Library of Munich, Germany.
    3. Tol, Richard S.J., 2013. "Targets for global climate policy: An overview," Journal of Economic Dynamics and Control, Elsevier, vol. 37(5), pages 911-928.
    4. In Chang Hwang & Richard S.J. Tol & Marjan W. Hofkes, 2013. "Active Learning about Climate Change," Working Paper Series 6513, Department of Economics, University of Sussex.

    Lists

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    Statistics

    Access and download statistics

    Corrections

    When requesting a correction, please mention this item's handle: RePEc:rff:dpaper:dp-09-19. 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: (Webmaster).

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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