publication . Article . Preprint . 2004

the climate change learning curve

Andrew Leach;
Open Access
  • Published: 01 Apr 2004 Journal: Journal of Economic Dynamics and Control, volume 31, pages 1,728-1,752 (issn: 0165-1889, Copyright policy)
  • Publisher: Elsevier BV
The key element in the tension between those who believe climate change is an issue and those who do not is essentially the question of whether we are merely in a long period of shock-induced above average temperatures or if we have led to this increase in temperatures by anthropogenic carbon emissions. The model proposed in this paper allows for a model in which we weigh observations on temperature against the potential that these are generated by a combination of uncertain parameters; namely the coefficient of autoregression and the sensitivity of temperature change to atmospheric carbon levels. This paper shows that, contrary to predictions in the literature ...
free text keywords: Climate Change; Bayesian Learning; Environmental Regulation; Growth; Pollution; Dynamic Programming; Precautionary Principle., Economics and Econometrics, Control and Optimization, Applied Mathematics, Bellman equation, Greenhouse gas, Autoregressive model, Least squares, Dynamic programming, Climate change, Economics, Atmospheric carbon cycle, Econometrics, Bayesian inference, jel:Q25, jel:Q28, jel:D83, jel:D81, jel:C61, jel:C63, jel:E1, jel:E61, jel:H4
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Cyert, R. M., and M. H. DeGroot (1974): “Rational Expectations and Bayesian Analysis,” Journal of Political Economy, 82, 521-535. [OpenAIRE]

Doornik, J. A. (2003): Ox Version 3.30. Oxford.

IEA-04-01: ANDREW LEACH. « Integrated Assessment of Climate Change Using an OLG Model », 34 pages.

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