Arbeitspapier
Optimal Climate Policy for a Pessimistic Social Planner
In this paper we characterize the preferences of a pessimistic social planner concerned with the potential costs of extreme, low-probability climate events. This pessimistic attitude is represented by a recursive optimization criterion à la Hansen and Sargent (1995) that introduces supplementary curvature in the social preferences of standard linear-quadratic optimization analysis and, under certain conditions, it can be shown to correspond to the Epstein-Zin recursive utility. The introduction of extra convexity and the separation between risk-aversion and time-preference implies that, independently of the choice of the discount rate, a sharp, early and steady mitigation effort arises as the optimal climate policy, supporting the main recommendation of the Stern Review (Stern, 2007). Nonetheless, we accommodate for its main criticism of using a too low and questionable discount rate (Nordhaus, 2007), while preserving the assumption of a normal (thin-tailed) probability distribution (Weitzman, 2009). Finally, we argue that our theoretical framework is sufficiently general and robust to possible mis-specifications of the model.
- Language
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Englisch
- Bibliographic citation
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Series: Nota di Lavoro ; No. 33.2014
- Classification
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Wirtschaft
Optimization Techniques; Programming Models; Dynamic Analysis
Climate; Natural Disasters and Their Management; Global Warming
- Subject
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Climate Change
Climate Policy Targets
Risk Aversion
Pessimism
- Event
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Geistige Schöpfung
- (who)
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Valentini, Edilio
Vitale, Paolo
- Event
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Veröffentlichung
- (who)
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Fondazione Eni Enrico Mattei (FEEM)
- (where)
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Milano
- (when)
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2014
- Handle
- Last update
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10.03.2025, 11:45 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Valentini, Edilio
- Vitale, Paolo
- Fondazione Eni Enrico Mattei (FEEM)
Time of origin
- 2014