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The climate change learning curve

Citations

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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 Business School.
  2. Aleksandar Arandjelovi'c & Pavel V. Shevchenko & Tomoko Matsui & Daisuke Murakami & Tor A. Myrvoll, 2024. "Solving stochastic climate-economy models: A deep least-squares Monte Carlo approach," Papers 2408.09642, arXiv.org.
  3. Aliakbari, Elmira & McKitrick, Ross, 2018. "Information aggregation in a prediction market for climate outcomes," Energy Economics, Elsevier, vol. 74(C), pages 97-106.
  4. McKitrick, Ross, 2011. "A simple state-contingent pricing rule for complex intertemporal externalities," Energy Economics, Elsevier, vol. 33(1), pages 111-120, January.
  5. Crost, Benjamin & Traeger, Christian P., 2010. "Risk and Aversion in the Integrated Assessment of Climate Change," CUDARE Working Papers 90935, University of California, Berkeley, Department of Agricultural and Resource Economics.
  6. Newbold, Stephen C. & Marten, Alex L., 2014. "The value of information for integrated assessment models of climate change," Journal of Environmental Economics and Management, Elsevier, vol. 68(1), pages 111-123.
  7. Chakravorty, Ujjayant & Leach, Andrew & Moreaux, Michel, 2011. "Would hotelling kill the electric car?," Journal of Environmental Economics and Management, Elsevier, vol. 61(3), pages 281-296, May.
  8. Yongyang Cai, 2020. "The Role of Uncertainty in Controlling Climate Change," Papers 2003.01615, arXiv.org, revised Oct 2020.
  9. Jensen, Svenn & Traeger, Christian P., 2014. "Optimal climate change mitigation under long-term growth uncertainty: Stochastic integrated assessment and analytic findings," European Economic Review, Elsevier, vol. 69(C), pages 104-125.
  10. Ivan Rudik & Derek Lemoine & Maxwell Rosenthal, 2018. "General Bayesian Learning in Dynamic Stochastic Models: Estimating the Value of Science Policy," 2018 Meeting Papers 369, Society for Economic Dynamics.
  11. Luke G. Fitzpatrick & David L. Kelly, 2017. "Probabilistic Stabilization Targets," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(2), pages 611-657.
  12. McKitrick, Ross & Lee, Jamie, 2017. "Forming a Majority Coalition for Carbon Taxes under a State-Contingent Updating Rule," Strategic Behavior and the Environment, now publishers, vol. 6(4), pages 289-309, November.
  13. van den Bijgaart, Inge & Gerlagh, Reyer & Liski, Matti, 2016. "A simple formula for the social cost of carbon," Journal of Environmental Economics and Management, Elsevier, vol. 77(C), pages 75-94.
  14. KEVIN DAYARATNA & ROSS McKITRICK & DAVID KREUTZER, 2017. "Empirically Constrained Climate Sensitivity And The Social Cost Of Carbon," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 8(02), pages 1-12, May.
  15. van den Bijgaart, Inge & Gerlagh, Reyer & Liski, Matti, 2016. "A simple formula for the social cost of carbon," Journal of Environmental Economics and Management, Elsevier, vol. 77(C), pages 75-94.
  16. Mark Kagan, 2012. "Climate Change Skepticism in the Face of Catastrophe," Tinbergen Institute Discussion Papers 12-112/VIII, Tinbergen Institute, revised 29 Sep 2014.
  17. Masako Ikefuji & Roger J. A. Laeven & Jan R. Magnus & Chris Muris, 2011. "Weitzman meets Nordhaus: Expected utility and catastrophic risk in a stochastic economy-climate model," ISER Discussion Paper 0825, Institute of Social and Economic Research, Osaka University.
  18. Tommi Ekholm, 2014. "Hedging the climate sensitivity risks of a temperature target," Climatic Change, Springer, vol. 127(2), pages 153-167, November.
  19. Kelly, David L. & Tan, Zhuo, 2015. "Learning and climate feedbacks: Optimal climate insurance and fat tails," Journal of Environmental Economics and Management, Elsevier, vol. 72(C), pages 98-122.
  20. Ikefuji, Masako & Laeven, Roger J.A. & Magnus, Jan R. & Muris, Chris, 2020. "Expected utility and catastrophic risk in a stochastic economy–climate model," Journal of Econometrics, Elsevier, vol. 214(1), pages 110-129.
  21. Christian Traeger, 2014. "A 4-Stated DICE: Quantitatively Addressing Uncertainty Effects in Climate Change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 59(1), pages 1-37, September.
  22. Lemoine, Derek M. & Traeger, Christian P., 2010. "Tipping Points and Ambiguity in the Economics of Climate Change," CUDARE Working Papers 98127, University of California, Berkeley, Department of Agricultural and Resource Economics.
  23. Iverson, Terrence, 2012. "Communicating Trade-offs amid Controversial Science: Decision Support for Climate Policy," Ecological Economics, Elsevier, vol. 77(C), pages 74-90.
  24. Hess, Joshua H. & Manning, Dale T. & Iverson, Terry & Cutler, Harvey, 2019. "Uncertainty, learning, and local opposition to hydraulic fracturing," Resource and Energy Economics, Elsevier, vol. 55(C), pages 102-123.
  25. Ross McKitrick, 2013. "State-contingent pricing as a response to uncertainty in climate policy," Chapters, in: Roger Fouquet (ed.), Handbook on Energy and Climate Change, chapter 18, pages 415-433, Edward Elgar Publishing.
  26. Gallic, Ewen & Vermandel, Gauthier, 2020. "Weather shocks," European Economic Review, Elsevier, vol. 124(C).
  27. 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.
  28. 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.
  29. García-León, David, 2016. "Adapting to Climate Change: an Analysis under Uncertainty," EIA: Climate Change: Economic Impacts and Adaptation 232216, Fondazione Eni Enrico Mattei (FEEM).
  30. Charles F. Mason & Neil Wilmot, 2015. "Modeling Damages in Climate Policy Models: Temperature-Based or Carbon-Based?," CESifo Working Paper Series 5287, CESifo.
  31. Brian R. Copeland & M. Scott Taylor, 2017. "Environmental and resource economics: A Canadian retrospective," Canadian Journal of Economics, Canadian Economics Association, vol. 50(5), pages 1381-1413, December.
  32. 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 Business School.
  33. Ahlvik, Lassi & Hyytiäinen, Kari, 2015. "Value of adaptation in water protection — Economic impacts of uncertain climate change in the Baltic Sea," Ecological Economics, Elsevier, vol. 116(C), pages 231-240.
  34. 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.
  35. Crost, Benjamin & Traeger, Christian P., 2013. "Optimal climate policy: Uncertainty versus Monte Carlo," Economics Letters, Elsevier, vol. 120(3), pages 552-558.
  36. Stagnaro, Carlo, 2008. "Europe 2020: an Alternative Proposal," MPRA Paper 48743, University Library of Munich, Germany.
  37. Margaret Insley & Tracy Snoddon & Peter A. Forsyth, 2018. "Strategic interactions and uncertainty in decisions to curb greenhouse gas emissions," Working Papers 1805, University of Waterloo, Department of Economics, revised 06 Jan 2018.
  38. Pavel V. Shevchenko & Daisuke Murakami & Tomoko Matsui & Tor A. Myrvoll, 2022. "Impact of COVID-19 type events on the economy and climate under the stochastic DICE model," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 24(3), pages 459-476, July.
  39. Lemoine, Derek & Traeger, Christian P., 2016. "Ambiguous tipping points," Journal of Economic Behavior & Organization, Elsevier, vol. 132(PB), pages 5-18.
  40. In Chang Hwang, 2017. "A Recursive Method for Solving a Climate–Economy Model: Value Function Iterations with Logarithmic Approximations," Computational Economics, Springer;Society for Computational Economics, vol. 50(1), pages 95-110, June.
  41. 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.
  42. Alexis Hannart & Michael Ghil & Jean-Louis Dufresne & Philippe Naveau, 2013. "Disconcerting learning on climate sensitivity and the uncertain future of uncertainty," Climatic Change, Springer, vol. 119(3), pages 585-601, August.
  43. In Hwang & Frédéric Reynès & Richard Tol, 2013. "Climate Policy Under Fat-Tailed Risk: An Application of Dice," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 56(3), pages 415-436, November.
  44. Ahlvik, Lassi & Iho, Antti, 2018. "Optimal geoengineering experiments," Journal of Environmental Economics and Management, Elsevier, vol. 92(C), pages 148-168.
  45. Derek Lemoine & Christian Traeger, 2014. "Watch Your Step: Optimal Policy in a Tipping Climate," American Economic Journal: Economic Policy, American Economic Association, vol. 6(1), pages 137-166, February.
  46. van den Bijgaart, Inge, 2016. "Essays in environmental economics and policy," Other publications TiSEM 298bee2a-cb08-4173-9fe1-8, Tilburg University, School of Economics and Management.
  47. In Chang Hwang, 2016. "Active learning and optimal climate policy," EcoMod2016 9611, EcoMod.
  48. 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.
  49. Hwang, In Chang, 2014. "Fat-tailed uncertainty and the learning-effect," MPRA Paper 53671, University Library of Munich, Germany.
  50. 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.
  51. Brian R. Copeland & M. Scott Taylor, 2017. "Environmental and resource economics: A Canadian retrospective," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 50(5), pages 1381-1413, December.
  52. Tideman, T. Nicolaus & Plassmann, Florenz, 2010. "Pricing externalities," European Journal of Political Economy, Elsevier, vol. 26(2), pages 176-184, June.
  53. Ekholm, Tommi, 2018. "Climatic Cost-benefit Analysis Under Uncertainty and Learning on Climate Sensitivity and Damages," Ecological Economics, Elsevier, vol. 154(C), pages 99-106.
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