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Debiasing through Law

Authors: Christine Jolls; Cass R. Sunstein;

Debiasing through Law

Abstract

Abstract In many settings, human beings are boundedly rational. A distinctive and insufficiently explored legal response to bounded rationality is to attempt to debias through law by steering people in more rational directions. In many domains, existing legal analyses emphasize the alternative approach of insulating outcomes from the effects of boundedly rational behavior, which itself is taken as a given. In fact, however, many legal strategies are efforts to engage in the different approach of debiasing through law by reducing or even eliminating people’s boundedly rational behavior. This paper offers a general account of how debiasing through law does or could work to address legal questions across a range of areas, from consumer safety law to corporate law to property law. Discussion is also devoted to the risks of government manipulation and overshooting that are sometimes raised when debiasing through law is employed.

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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!
170
Top 10%
Top 1%
Top 10%
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