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Integrated Analysis: Combining Risk and Economic Assessments While Preserving the Separation of Powers

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  • Richard A. Williams
  • Kimberly M. Thompson

Abstract

This article presents a process for an integrated policy analysis that combines risk assessment and benefit‐cost analysis. This concept, which explicitly combines the two types of related analyses, seems to contradict the long‐accepted risk analysis paradigm of separating risk assessment and risk management since benefit‐cost analysis is generally considered to be a part of risk management. Yet that separation has become a problem because benefit‐cost analysis uses risk assessment results as a starting point and considerable debate over the last several years focused on the incompatibility of the use of upper bounds or “safe” point estimates in many risk assessments with benefit‐cost analysis. The problem with these risk assessments is that they ignore probabilistic information. As advanced probabilistic techniques for risk assessment emerge and economic analysts receive distributions of risks instead of point estimates, the artificial separation between risk analysts and the economic/decision analysts complicates the overall analysis. In addition, recent developments in countervailing risk theory suggest that combining the risk and benefit‐cost analyses is required to fully understand the complexity of choices and tradeoffs faced by the decisionmaker. This article also argues that the separation of analysis and management is important, but that benefit‐cost analysis has been wrongly classified into the risk management category and that the analytical effort associated with understanding the economic impacts of risk reduction actions need to be part of a broader risk assessment process.

Suggested Citation

  • Richard A. Williams & Kimberly M. Thompson, 2004. "Integrated Analysis: Combining Risk and Economic Assessments While Preserving the Separation of Powers," Risk Analysis, John Wiley & Sons, vol. 24(6), pages 1613-1623, December.
  • Handle: RePEc:wly:riskan:v:24:y:2004:i:6:p:1613-1623
    DOI: 10.1111/j.0272-4332.2004.00554.x
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    References listed on IDEAS

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    1. Kimberly M. Thompson & Maria Segui‐Gomez & John D. Graham, 2002. "Validating Benefit and Cost Estimates: The Case of Airbag Regulation," Risk Analysis, John Wiley & Sons, vol. 22(4), pages 803-811, August.
    2. Kimberly M. Thompson & John S. Evans, 1997. "The Value of Improved National Exposure Information for Perchloroethylene (Perc): A Case Study for Dry Cleaners," Risk Analysis, John Wiley & Sons, vol. 17(2), pages 253-271, April.
    3. Kimberly M. Thompson, 2002. "Variability and Uncertainty Meet Risk Management and Risk Communication," Risk Analysis, John Wiley & Sons, vol. 22(3), pages 647-654, June.
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    Citations

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    Cited by:

    1. Sandra Hoffmann, 2010. "Ensuring Food Safety around the Globe: The Many Roles of Risk Analysis From Risk Ranking to Microbial Risk Assessment," Risk Analysis, John Wiley & Sons, vol. 30(5), pages 711-714, May.
    2. Richard A. Williams & Kristen M. Kulinowski & Ronald White & Garrick Louis, 2010. "Risk Characterization for Nanotechnology," Risk Analysis, John Wiley & Sons, vol. 30(11), pages 1671-1679, November.
    3. James H. Lambert & Mark W. Farrington, 2006. "Risk‐Based Objectives for the Allocation of Chemical, Biological, and Radiological Air Emissions Sensors," Risk Analysis, John Wiley & Sons, vol. 26(6), pages 1659-1674, December.
    4. David M. Hassenzahl, 2006. "Implications of Excessive Precision for Risk Comparisons: Lessons from the Past Four Decades," Risk Analysis, John Wiley & Sons, vol. 26(1), pages 265-276, February.
    5. Sandra Hoffmann, 2011. "Overcoming Barriers to Integrating Economic Analysis into Risk Assessment," Risk Analysis, John Wiley & Sons, vol. 31(9), pages 1345-1355, September.
    6. Lambert, James H. & Farrington, Mark W., 2007. "Cost–benefit functions for the allocation of security sensors for air contaminants," Reliability Engineering and System Safety, Elsevier, vol. 92(7), pages 930-946.
    7. N. J. Welton & A. E. Ades & D. M. Caldwell & T. J. Peters, 2008. "Research prioritization based on expected value of partial perfect information: a case‐study on interventions to increase uptake of breast cancer screening," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(4), pages 807-841, October.
    8. Shamoun, Dima & Williams, Richard & Broughel, James & Calabrese, Edward, 2016. "Regulation under Uncertainty: Use of the Linear No-Threshold Model in Chemical and Radiation Exposure," Working Papers 04174, George Mason University, Mercatus Center.

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