An approximate dynamic programming framework for modeling global climate policy under decision-dependent uncertainty
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DOI: 10.1007/s10287-012-0147-1
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Cited by:- Guo, Jian-Xin & Zhu, Lei & Fan, Ying, 2016. "Emission path planning based on dynamic abatement cost curve," European Journal of Operational Research, Elsevier, vol. 255(3), pages 996-1013.
- Chang, Charles W., 2014. "DICESC: Optimal Policy in a Stochastic Control Framework," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170831, Agricultural and Applied Economics Association.
- Fertig, Emily, 2018. "Rare breakthroughs vs. incremental development in R&D strategy for an early-stage energy technology," Energy Policy, Elsevier, vol. 123(C), pages 711-721.
- Olaleye, Olaitan & Baker, Erin, 2015. "Large scale scenario analysis of future low carbon energy options," Energy Economics, Elsevier, vol. 49(C), pages 203-216.
- Maier, Sebastian & Pflug, Georg C. & Polak, John W., 2020. "Valuing portfolios of interdependent real options under exogenous and endogenous uncertainties," European Journal of Operational Research, Elsevier, vol. 285(1), pages 133-147.
- Mort Webster & Karen Fisher-Vanden & David Popp & Nidhi Santen, 2017.
"Should We Give Up after Solyndra? Optimal Technology R&D Portfolios under Uncertainty,"
Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(S1), pages 123-151.
- Mort D. Webster & Karen Fisher-Vanden & David Popp & Nidhi R. Santen, 2015. "Should We Give Up After Solyndra? Optimal Technology R&D Portfolios under Uncertainty," CESifo Working Paper Series 5448, CESifo.
- Mort Webster & Karen Fisher-Vanden & David Popp & Nidhi Santen, 2015. "Should We Give Up After Solyndra? Optimal Technology R&D Portfolios under Uncertainty," NBER Working Papers 21396, National Bureau of Economic Research, Inc.
- 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.
- Delavane B. Diaz, 2015. "Integrated Assessment of Climate Catastrophes with Endogenous Uncertainty: Does the Risk of Ice Sheet Collapse Justify Precautionary Mitigation?," Working Papers 2015.64, Fondazione Eni Enrico Mattei.
- Giacomo Marangoni & Gauthier De Maere & Valentina Bosetti, 2017.
"Optimal Clean Energy R&D Investments Under Uncertainty,"
MITP: Mitigation, Innovation and Transformation Pathways
256056, Fondazione Eni Enrico Mattei (FEEM).
- Giacomo Marangoni & Gauthier De Maere & Valentina Bosetti, 2017. "Optimal Clean Energy R&D Investments Under Uncertainty," Working Papers 2017.16, Fondazione Eni Enrico Mattei.
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- Miftakhova, Alena & Judd, Kenneth L. & Lontzek, Thomas S. & Schmedders, Karl, 2020.
"Statistical approximation of high-dimensional climate models,"
Journal of Econometrics, Elsevier, vol. 214(1), pages 67-80.
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- Yongyang Cai & Kenneth L. Judd & Thomas S. Lontzek, 2013. "The Social Cost of Stochastic and Irreversible Climate Change," NBER Working Papers 18704, National Bureau of Economic Research, Inc.
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Keywords
Climate policy analysis; Approximate dynamic programming; Decision dependent uncertainty; Stochastic dynamic programming; Endogenous uncertainty;
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