Bayesian learning and the regulation of greenhouse gas emissions

Article, Preprint OPEN
Karp, Larry; Zhang, Jiangfeng;
  • Publisher: eScholarship, University of California
  • Subject: Bayesian learning | Asymmetric information | Climate change, Uncertainty, Bayesian learning, Asymmetric information, Choice of instruments, Dynamic optimization | Dynamic optimization | Choice of instruments | Uncertainty | abatement cost, air pollution, bayesian analysis, climate change, dynamic analysis, greenhouse effect, risk | Climate change

We study the importance of anticipated learning - about both environmental damages and abatement costs - in determining the level and the method of controlling greenhouse gas emissions. We also compare active learning, passive learning, and parameter uncertainty without... View more
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