Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

The Limits of Quantification

Authors: Sunstein, Cass;

The Limits of Quantification

Abstract

The problem of nonquantifiability is a recurrent one in both public policy and ordinary life. Much of the time, we cannot quantify the benefits of potential courses of action, or the costs, or both, and we must nonetheless decided whether and how to proceed. Under existing Executive Orders, agencies are generally required to quantify both benefits and costs, and (to the extent permitted by law) to show that the former justify the latter. But agencies are also permitted to consider apparently nonquantifiable factors, such as human dignity and fairness, and also to consider factors that are not quantifiable because of the limits of existing knowledge. When quantification is impossible, agencies should engage in “breakeven analysis,” by which they explore how high the nonquantifiable benefits would have to be in order for the benefits to justify the costs. Breakeven analysis can be used and potentially disciplined in three different ways. (1) Sometimes agencies are able to identity lower or upper bounds, either through point estimates or through an assessment of expected value. (2) Agencies can often make progress by exploring comparison cases in which relevant values have already been assigned (such as for a statistical life). (3) When agencies cannot identify lower or upper bounds, and when helpful comparisons are unavailable, breakeven analysis requires agencies to identify what information is missing and to specify the conditions under which benefits would justify costs (“conditional justification”). In admittedly rare cases, regulators, no less than individuals, might have to “pick” or instead to “opt.”

Country
United States
Related Organizations
Keywords

330

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    6
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!