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The Curious Role of "Learning" in Climate Policy: Should We Wait for More Data?

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RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography for Economics:
  1. > Environmental and Natural Resource Economics > Climate economics > Uncertainty

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Cited by:

  1. Kenneth Gillingham & William D. Nordhaus & David Anthoff & Geoffrey Blanford & Valentina Bosetti & Peter Christensen & Haewon McJeon & John Reilly & Paul Sztorc, 2015. "Modeling Uncertainty in Climate Change: A Multi-Model Comparison," NBER Working Papers 21637, National Bureau of Economic Research, Inc.
  2. Jacoby, Henry D. & Reilly, John M. & McFarland, James R. & Paltsev, Sergey, 2006. "Technology and technical change in the MIT EPPA model," Energy Economics, Elsevier, vol. 28(5-6), pages 610-631, November.
  3. Fernández, Jorge & Miller, Sebastián J., 2011. "When Should Developing Countries Announce Their Climate Policy?," IDB Publications (Working Papers) 3960, Inter-American Development Bank.
  4. 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 Business School.
  5. Haim, David & Plantinga, Andrew J. & Thomann, Enrique, 2014. "The optimal time path for carbon abatement and carbon sequestration under uncertainty: The case of stochastic targeted stock," Resource and Energy Economics, Elsevier, vol. 36(1), pages 151-165.
  6. 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.
  7. Jongmin Yu & Seokjong Ryu, 2018. "Optimal Design of a Politically Feasible Environmental Regulation," Korean Economic Review, Korean Economic Association, vol. 34, pages 75-99.
  8. In Chang Hwang & Richard S. J. Tol & Marjan W. Hofkes, 2019. "Active Learning and Optimal Climate Policy," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(4), pages 1237-1264, August.
  9. 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.
  10. Santen, Nidhi R. & Anadon, Laura Diaz, 2016. "Balancing solar PV deployment and RD&D: A comprehensive framework for managing innovation uncertainty in electricity technology investment planning," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 560-569.
  11. Baker, Erin, 2005. "Uncertainty and learning in a strategic environment: global climate change," Resource and Energy Economics, Elsevier, vol. 27(1), pages 19-40, January.
  12. Matthias Schmidt & Hermann Held & Elmar Kriegler & Alexander Lorenz, 2013. "Climate Policy Under Uncertain and Heterogeneous Climate Damages," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 54(1), pages 79-99, January.
  13. Mort Webster, 2008. "Incorporating Path Dependency into Decision-Analytic Methods: An Application to Global Climate-Change Policy," Decision Analysis, INFORMS, vol. 5(2), pages 60-75, June.
  14. Baker, Erin & Shittu, Ekundayo, 2006. "Profit-maximizing R&D in response to a random carbon tax," Resource and Energy Economics, Elsevier, vol. 28(2), pages 160-180, May.
  15. Baker, Erin & Adu-Bonnah, Kwame, 2008. "Investment in risky R&D programs in the face of climate uncertainty," Energy Economics, Elsevier, vol. 30(2), pages 465-486, March.
  16. Iverson, Terrence, 2012. "Communicating Trade-offs amid Controversial Science: Decision Support for Climate Policy," Ecological Economics, Elsevier, vol. 77(C), pages 74-90.
  17. Peterson, Sonja, 2004. "The contribution of economics to the analysis of climate change and uncertainty: a survey of approaches and findings," Kiel Working Papers 1212, Kiel Institute for the World Economy (IfW Kiel).
  18. Warren Sanderson & Sergei Scherbov & Brian O'Neill & Wolfgang Lutz, 2003. "Conditional Probabilistic Population Forecasting," VID Working Papers 0303, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna.
  19. Baker, Erin & Shittu, Ekundayo, 2008. "Uncertainty and endogenous technical change in climate policy models," Energy Economics, Elsevier, vol. 30(6), pages 2817-2828, November.
  20. Michael Funke & Michael Paetz, 2011. "Environmental policy under model uncertainty: a robust optimal control approach," Climatic Change, Springer, vol. 107(3), pages 225-239, August.
  21. In Chang Hwang, 2016. "Active learning and optimal climate policy," EcoMod2016 9611, EcoMod.
  22. Peterson, Sonja, 2006. "Uncertainty and economic analysis of climate change: a survey of approaches and findings," Open Access Publications from Kiel Institute for the World Economy 3778, Kiel Institute for the World Economy (IfW Kiel).
  23. Hwang, In Chang & Reynès, Frédéric & Tol, Richard S.J., 2017. "The effect of learning on climate policy under fat-tailed risk," Resource and Energy Economics, Elsevier, vol. 48(C), pages 1-18.
  24. Michael Oppenheimer, 2005. "Defining Dangerous Anthropogenic Interference: The Role of Science, the Limits of Science," Risk Analysis, John Wiley & Sons, vol. 25(6), pages 1399-1407, December.
  25. Wonjun Chang & Thomas F. Rutherford, 2017. "Catastrophic Thresholds, Bayesian Learning And The Robustness Of Climate Policy Recommendations," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 8(04), pages 1-23, November.
  26. Olaleye, Olaitan & Baker, Erin, 2015. "Large scale scenario analysis of future low carbon energy options," Energy Economics, Elsevier, vol. 49(C), pages 203-216.
  27. Hwang, In Chang, 2014. "Fat-tailed uncertainty and the learning-effect," MPRA Paper 53671, University Library of Munich, Germany.
  28. Erin Baker, 2009. "Optimal Policy under Uncertainty and Learning about Climate Change: A Stochastic Dominance Approach," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 11(5), pages 721-747, October.
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