logo
Discounting for Climate Change [Dataset]
hdl:1902.1/13764
Version: 1 – Released: Wed Nov 25 08:12:48 EST 2009
Cataloging Information
Documentation, Data and Analysis
User Comments
Versions
 
If you use these data, please add the following citation to your scholarly references. Why cite?
Data Citation Details
Study Global IDhdl:1902.1/13764
AuthorsDavid Anthoff (Economic and Social Research Institute, Dublin); Richard S. J. Tol (Economic and Social Research Institute, Dublin, and Vrije Universiteit, Amsterdam); Gary W. Yohe (Wesleyan University, Middletow)
Production Date2009
Software FUND for TurboPascal / Delphi
DistributorEconomics: The Open-Access, Open-Assessment E-Journal Logo
Distributor ContactKorinna Werner-Schwarz (Kiel Institute for the World Economy), korinna.werner-schwarz@economics-ejournal.org
Distribution Date2009
Deposit DateOctober 19, 2009
Provenance
Abstract and Scope
Abstract

It is well-known that the discount rate is crucially important for estimating the social cost of carbon, a standard indicator for the seriousness of climate change and desirable level of climate policy. The Ramsey equation for the discount rate has three components: the pure rate of time preference, a measure of relative risk aversion, and the rate of growth of per capita consumption. Much of the attention on the appropriate discount rate for long-term environmental problems has focussed on the role played by the pure rate of time preference in this formulation. We show that the other two elements are numerically just as important in considerations of anthropogenic climate change. The elasticity of the marginal utility with respect to consumption is particularly important because it assumes three roles: consumption smoothing over time, risk aversion, and inequity aversion. Given the large uncertainties about climate change and widely asymmetric impacts, the assumed rates of risk and inequity aversion can be expected to play significant roles. The consumption growth rate plays multiple roles, as well. It is one of the determinants of the discount rate, and one of the drivers of emissions and hence climate change. We also find that the impacts of climate change grow slower than income, so the effective discount rate is higher than the real discount rate. Moreover, the differential growth rate between rich and poor countries determines the time evolution of the size of the equity weights. As there are a number of crucial but uncertain parameters, it is no surprise that one can obtain almost any estimate of the social cost of carbon. We even show that, for a low pure rate of time preference, the estimate of the social cost of carbon is indeed arbitrary—as one can exclude neither large positive nor large negative impacts in the very long run. However, if we probabilistically constrain the parameters to values that are implied by observed behaviour, we find that the expected social cost of carbon, corrected for uncertainty and inequity, is approximate 60 US dollar per metric tonne of carbon (or roughly $17 per tonne of CO2) under the assumption that catastrophic risk is zero.

Abstract Date2009
KeywordsSocial cost of carbon; Climate change; Pure time preference; Risk aversion; Inequity aversion; Income elasticity; Time horizon; Uncertainty
Topic ClassificationQ54 (JEL)
Related PublicationsDavid Anthoff, Richard S. J. Tol, and Gary W. Yohe (2009). Discounting for Climate Change. Economics: The Open-Access, Open-Assessment E-Journal, Vol. 3, 2009-24. http://www.economics-ejournal.org/economics/journalarticles/2009-24; David Anthoff, Richard S. J. Tol, and Gary W. Yohe (2009). Discounting for Climate Change. Economics Discussion Papers, No 2009-15. http://www.economics-ejournal.org/economics/discussionpapers/2009-15
Geographic Coverageglobal
Kind of Dataaggregate data
Data Collection / Methodology
Time MethodTime series
Data Availability
Number of Files 3
Terms of Use
Dataverse Network Terms of Use
View Terms of Use [+]
IQSS Dataverse Network Terms and Conditions

By downloading these Materials, I agree to the following:

  1. I will not use the Materials to
    1. obtain information that could directly or indirectly identify subjects.
    2. produce links among the Distributor's datasets or among the Distributor's data and other datasets that could identify individuals or organizations.
    3. obtain information about, or further contact with, subjects known to me except where the use and/or release of such identifying information has no potential for constituting an unwarranted invasion of privacy and/or breach of confidentiality.
  2. I agree not to download any Materials where prohibited by applicable law.
  3. I agree not to use the Materials in any way prohibited by applicable law.
  4. I agree that any books, articles, conference papers, theses, dissertations, reports, or other publications that I create which employ data reference the bibliographic citation accompanying this data. These citations include the data authors, data identifier, and other information accord with the Recommended Standard (http://thedata.org/citation/standard) for social science data.
  5. THE DISTRIBUTOR MAKES NO WARRANTIES, EXPRESS OR IMPLIED, BY OPERATION OF LAW OR OTHERWISE, REGARDING OR RELATING TO THE DATASET

"Discounting for Climate Change [Dataset]", hdl:1902.1/13764