EconPapers    
Economics at your fingertips  
 

Bayesian learning and the regulation of greenhouse gas emissions

Larry S. Karp and Jiangfeng Zhang

No 926, CUDARE Working Paper Series from University of California at Berkeley, Department of Agricultural and Resource Economics and Policy

Keywords: Abatement cost; Air pollution; Bayesian analysis; Climate changes; Dynamic analysis; Greenhouse effect; Risk (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ene
Date: 2001
View citations in EconPapers

Downloads: (external link)
http://papers.ssrn.com/paper.taf?abstract_id=280671

Related works:
Working Paper: Bayesian Learning and the Regulation of Greenhouse Gas Emissions (2001) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: http://EconPapers.repec.org/RePEc:are:cudare:926

Ordering information: This working paper can be ordered from
University of California, Giannini Foundation of Agricultural Economics Library, 248 Giannini Hall #3310, Berkeley CA 94720-3310

The price is $10.25 Dom, $20.50 Int (U.S.$).

Access Statistics for this paper

More papers in CUDARE Working Paper Series from University of California at Berkeley, Department of Agricultural and Resource Economics and Policy
Contact information at EDIRC.
Series data maintained by ().

 
Page updated 2009-11-26
Handle: RePEc:are:cudare:926