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Estimating the Social Cost of Carbon for Use in U.S. Federal Rulemakings: A Summary and Interpretation

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  • Michael Greenstone
  • Elizabeth Kopits
  • Ann Wolverton

Abstract

The United States Government recently concluded a year-long process to develop a range of values representing the monetized damages associated with an incremental increase in carbon dioxide (CO2) emissions, commonly referred to as the social cost of carbon (SCC). These values are currently used in benefit-cost analyses to assess potential federal regulations. For 2010, the central value of the SCC is $21 per ton of CO2 emissions and sensitivity analyses are to be conducted at $5, $35, and $65 (2007$). This paper summarizes the methodology and process used to develop the SCC values, complemented with our own commentary about how the SCC can be used to inform regulatory decisions and areas where further research would be particularly useful.

Suggested Citation

  • Michael Greenstone & Elizabeth Kopits & Ann Wolverton, 2011. "Estimating the Social Cost of Carbon for Use in U.S. Federal Rulemakings: A Summary and Interpretation," NBER Working Papers 16913, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:16913
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    1. Anthoff, David & Hepburn, Cameron & Tol, Richard S.J., 2009. "Equity weighting and the marginal damage costs of climate change," Ecological Economics, Elsevier, vol. 68(3), pages 836-849, January.
    2. Robert E. Hall & Charles I. Jones, 2007. "The Value of Life and the Rise in Health Spending," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(1), pages 39-72.
    3. Becker Gary S. & Murphy Kevin M. & Topel Robert H., 2011. "On the Economics of Climate Policy," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 10(2), pages 1-27, May.
      • Becker, Gary S. & Murphy, Kevin M. & Topel, Robert H., 2010. "On the Economics of Climate Policy," Working Papers 234, The University of Chicago Booth School of Business, George J. Stigler Center for the Study of the Economy and the State.
    4. Adam Daigneault & Steve Newbold, 2009. "Climate Response Uncertainty and the Unexpected Benefits of Greenhouse Gas Emissions Reductions," NCEE Working Paper Series 200806, National Center for Environmental Economics, U.S. Environmental Protection Agency, revised Mar 2009.
    5. Stephen Newbold & Adam Daigneault, 2009. "Climate Response Uncertainty and the Benefits of Greenhouse Gas Emissions Reductions," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 44(3), pages 351-377, November.
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    More about this item

    JEL classification:

    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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