Bayesian learning and the regulation of greenhouse gas emissions
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 learning. Current beliefs about damages and abatement costs have an important effect on the optimal level of emissions, However, the optimal level of emissions is not sensitive either to the possibility of learning about damages. or to the type of learning (active or passive), Taxes dominate quotas, but by a small margin.
(This abstract was borrowed from another version of this item.)
|Date of creation:||2001|
|Date of revision:|
|Contact details of provider:|| Postal: 207 Giannini Hall #3310, Berkeley, CA 94720-3310|
Phone: (510) 642-3345
Fax: (510) 643-8911
Web page: http://areweb.berkeley.edu/library/Main/CUDARE
More information through EDIRC
|Order Information:|| Postal: University of California, Giannini Foundation of Agricultural Economics Library, 248 Giannini Hall #3310, Berkeley CA 94720-3310|
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Karp, Larry S. & Costello, Christopher, 2000.
"Dynamic quotas with learning,"
CUDARE Working Paper Series
914, University of California at Berkeley, Department of Agricultural and Resource Economics and Policy.
- Karp, Larry & Costello, Christopher J, 2000. "Dynamic Quotas with Learning," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt88x3f17p, Department of Agricultural & Resource Economics, UC Berkeley.
- Ulph, Alistair & Ulph, David, 1997. "Global Warming, Irreversibility and Learning," Economic Journal, Royal Economic Society, vol. 107(442), pages 636-50, May.
- Nordhaus, William D, 1991. "To Slow or Not to Slow: The Economics of the Greenhouse Effect," Economic Journal, Royal Economic Society, vol. 101(407), pages 920-37, July.
- Roughgarden, Tim & Schneider, Stephen H., 1999. "Climate change policy: quantifying uncertainties for damages and optimal carbon taxes," Energy Policy, Elsevier, vol. 27(7), pages 415-429, July.
- Hoel, Michael & Karp, Larry, 2001.
"Taxes versus Quotas for a Stock Pollutant,"
Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series
qt5fx9p7kf, Department of Agricultural & Resource Economics, UC Berkeley.
- John B. Taylor & Harald Uhlig, 1989.
"Solving Nonlinear Stochastic Growth Models: A Comparison of Alternative Solution Methods,"
NBER Working Papers
3117, National Bureau of Economic Research, Inc.
- Taylor, John B & Uhlig, Harald, 1990. "Solving Nonlinear Stochastic Growth Models: A Comparison of Alternative Solution Methods," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(1), pages 1-17, January.
- Kolstad, Charles D., 1996. "Learning and Stock Effects in Environmental Regulation: The Case of Greenhouse Gas Emissions," Journal of Environmental Economics and Management, Elsevier, vol. 31(1), pages 1-18, July.
- Peck, Stephen C. & Teisberg, Thomas J., 1993. "Global warming uncertainties and the value of information: an analysis using CETA," Resource and Energy Economics, Elsevier, vol. 15(1), pages 71-97, March.
- Judd, Kenneth L., 1992. "Projection methods for solving aggregate growth models," Journal of Economic Theory, Elsevier, vol. 58(2), pages 410-452, December.
- Pizer, William A., 1999. "The optimal choice of climate change policy in the presence of uncertainty," Resource and Energy Economics, Elsevier, vol. 21(3-4), pages 255-287, August.
- Peter Kennedy, 1999. "Learning About Environmental Damage: Implications for Emissions Trading," Canadian Journal of Economics, Canadian Economics Association, vol. 32(5), pages 1313-1327, November.
- Kolstad, Charles D., 1996. "Fundamental irreversibilities in stock externalities," Journal of Public Economics, Elsevier, vol. 60(2), pages 221-233, May.
- Kelly, David L. & Kolstad, Charles D., 1999. "Bayesian learning, growth, and pollution," Journal of Economic Dynamics and Control, Elsevier, vol. 23(4), pages 491-518, February.
- Larry Karp, Jiangfeng Zhang, 2001. "Regulating Global Climate Change with Bayesian Learning about Damages," Computing in Economics and Finance 2001 251, Society for Computational Economics.
- Graciela Chichilnisky & Geoffrey Heal, 1993. "Global Environmental Risks," Journal of Economic Perspectives, American Economic Association, vol. 7(4), pages 65-86, Fall.
When requesting a correction, please mention this item's handle: RePEc:are:cudare:926. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Jeff Cole)The email address of this maintainer does not seem to be valid anymore. Please ask Jeff Cole to update the entry or send us the correct email address
If references are entirely missing, you can add them using this form.