Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/192304 
Year of Publication: 
2002
Series/Report no.: 
Discussion Papers No. 322
Publisher: 
Statistics Norway, Research Department, Oslo
Abstract: 
This article studies the process from data acquisition to policy decision in relation to an optimum policy on global warming. Policymakers must be reasonably skeptical before proposing remedies to curb warming, but policymakers cannot await the final proof of any proposal's merit. Balancing evidence with doubt requires an informed approach, in which information is converted to knowledge and used to illuminate and compare human welfare connected to different scenarios. This article suggests, normatively, three essential elements for data based policies: evidence, consequence, and strategy. The presented framework for data based policymaking combines results from decision theory, economics, and political theory.
Subjects: 
data based
decision making
global warming
loss function
policymaking
social welfare
strategy
type-I error
JEL: 
C44
D78
H10
Q28
Document Type: 
Working Paper

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