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The Treatment of Uncertainty in EPA’s Analysis of Air Pollution Rules: A Status Report

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  • Fraas, Arthur G.

Abstract

An understanding of the uncertainty in benefit and cost estimates is a critical part of a benefit–cost analysis. Without a quantitative treatment of uncertainty, it is difficult to know how much confidence to place in the benefit–cost estimates associated with regulatory analysis. In 2002, an NRC report recommended that EPA move toward conducting probabilistic, multiple-source uncertainty analyses in its RIAs with the specification of probability distributions for major sources of uncertainty in the benefit estimates. In 2006, reports by GAO and RFF found that EPA had begun to address the NRC recommendations, but that much remained to be done to meet the NRC concerns. This paper provides a further review of EPA’s progress in developing a quantitative assessment of the uncertainties in its health benefits analyses for the RIAs for four recent rulemakings setting National Ambient Air Quality Standards (NAAQS). In conclusion, EPA’s basic approach to presenting the uncertainty in its health benefits estimates remains largely unchanged. Recent RIAs present the results of uncertainty analysis in piecemeal fashion rather than providing an overall, comprehensive statement of the uncertainty in the estimates. In addition, the uncertainty analysis in recent RIAs continues to focus on the concentration-response relationship and largely fails to address the uncertainty associated with the other key elements of the benefits analysis.

Suggested Citation

  • Fraas, Arthur G., 2011. "The Treatment of Uncertainty in EPA’s Analysis of Air Pollution Rules: A Status Report," Journal of Benefit-Cost Analysis, Cambridge University Press, vol. 2(2), pages 1-27, April.
  • Handle: RePEc:cup:jbcoan:v:2:y:2011:i:02:p:1-27_00
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    Cited by:

    1. Art Fraas & Randall Lutter, 2013. "Uncertain Benefits Estimates for Reductions in Fine Particle Concentrations," Risk Analysis, John Wiley & Sons, vol. 33(3), pages 434-449, March.
    2. Craig, Christopher A. & Feng, Song, 2016. "An examination of electricity generation by utility organizations in the Southeast United States," Energy, Elsevier, vol. 116(P1), pages 601-608.

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