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Fat-tailed uncertainty and the learning-effect

  • Hwang, In Chang

One of the recent findings in the economics of climate change is that emissions control plays a significant role in the reduction of the tail-effect of fat-tailed uncertainty on welfare. The current paper gives another perspective: the learning-effect. The effect of emissions control on welfare is decomposed into the direct effect and the learning-effect. Although this has been known for thin-tailed uncertainty in the literature, this paper takes a different approach: the changes in temperature distributions under fat-tailed uncertainty and learning.

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File URL: http://mpra.ub.uni-muenchen.de/53671/1/MPRA_paper_53671.pdf
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 53671.

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Date of creation: 14 Feb 2014
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Handle: RePEc:pra:mprapa:53671
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  1. Weitzman, Martin L., 2013. "A Precautionary Tale of Uncertain Tail Fattening," Scholarly Articles 12840806, Harvard University Department of Economics.
  2. Andrew J. Leach, 2004. "The Climate Change Learning Curve," Cahiers de recherche 04-03, HEC Montréal, Institut d'économie appliquée.
  3. Martin L. Weitzman, 2012. "GHG Targets as Insurance Against Catastrophic Climate Damages," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 14(2), pages 221-244, 03.
  4. Robert S. Pindyck, 2010. "Fat Tails, Thin Tails, and Climate Change Policy," NBER Working Papers 16353, National Bureau of Economic Research, Inc.
  5. Kelly, David L. & Kolstad, Charles D., 1999. "Bayesian learning, growth, and pollution," Journal of Economic Dynamics and Control, Elsevier, vol. 23(4), pages 491-518, February.
  6. Cyert, Richard M & DeGroot, Morris H, 1974. "Rational Expectations and Bayesian Analysis," Journal of Political Economy, University of Chicago Press, vol. 82(3), pages 521-36, May/June.
  7. Kolstad, Charles D., 1996. "Learning and Stock Effects in Environmental Regulation: The Case of Greenhouse Gas Emissions," Journal of Environmental Economics and Management, Elsevier, vol. 31(1), pages 1-18, July.
  8. Hwang, In Chang & Reynès, Frédéric & Tol, Richard S. J., 2011. "Climate Policy Under Fat-Tailed Risk: An Application of Dice," Papers WP403, Economic and Social Research Institute (ESRI).
  9. Robert S. Pindyck, 2009. "Uncertain Outcomes and Climate Change Policy," NBER Working Papers 15259, National Bureau of Economic Research, Inc.
  10. 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.
  11. 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.
  12. Millner, Antony, 2013. "On welfare frameworks and catastrophic climate risks," Journal of Environmental Economics and Management, Elsevier, vol. 65(2), pages 310-325.
  13. Ulph, Alistair & Ulph, David, 1997. "Global Warming, Irreversibility and Learning," Economic Journal, Royal Economic Society, vol. 107(442), pages 636-50, May.
  14. Antony Millner, 2013. "On Welfare Frameworks and Catastrophic Climate Risks," CESifo Working Paper Series 4442, CESifo Group Munich.
  15. Kolstad, Charles D., 1996. "Fundamental irreversibilities in stock externalities," Journal of Public Economics, Elsevier, vol. 60(2), pages 221-233, May.
  16. Mort Webster, 2002. "The Curious Role of "Learning" in Climate Policy: Should We Wait for More Data?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 97-119.
  17. 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.
  18. Ingham, Alan & Ma, Jie & Ulph, Alistair, 2007. "Climate change, mitigation and adaptation with uncertainty and learning," Energy Policy, Elsevier, vol. 35(11), pages 5354-5369, November.
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