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Improving Institutions of Risk Management: Uncertain Causality and Judicial Review of Regulations

In: Causal Analytics for Applied Risk Analysis

Author

Listed:
  • Louis Anthony Cox Jr.

    (Cox Associates)

  • Douglas A. Popken

    (Cox Associates)

  • Richard X. Sun

    (Cox Associates)

Abstract

This chapter continues to consider questions of applied benefit-cost analysis and effective risk management, building on themes introduced in the previous two chapters. It expands the scope of the discussion to include a law-and-economics perspective on how different institutions—regulatory and judicial—involved in societal risk management can best work together to promote the public interest. In the interests of making the exposition relatively self-contained, we briefly recapitulate distinctions among types of causality and principles of causal inference that are discussed in more detail in Chap. 2 , as well as principles of benefit-cost analysis and risk psychology, including heuristics and biases, from Chap. 10 . In this chapter, however, the focus is less on individual, group, or organizational decision-making than on how rigorous judicial review of causal reasoning might improve regulatory risk assessment and policy.

Suggested Citation

  • Louis Anthony Cox Jr. & Douglas A. Popken & Richard X. Sun, 2018. "Improving Institutions of Risk Management: Uncertain Causality and Judicial Review of Regulations," International Series in Operations Research & Management Science, in: Causal Analytics for Applied Risk Analysis, chapter 0, pages 513-556, Springer.
  • Handle: RePEc:spr:isochp:978-3-319-78242-3_14
    DOI: 10.1007/978-3-319-78242-3_14
    as

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