Data · dataset · 2009
Are All Legal Probabilities Created Equal?
Listed in Harvard Dataverse
At the core of the economic analysis of law lies the concept of expected sanctions, which are calculated by multiplying the sanction that is applied to wrongdoers by the probability that it will be applied.
Description
This probability is a result of several sequential probabilities that involve the different actors responsible for sanctioning wrongdoers (e.g. police, prosecutors, judges, jurors, etc.). Generally, legal economists treat different legal probabilities as fungible and simply multiply them m uch like any other sequential probabilistic situation.
In this paper we challenge this assumption, and demonstrate that different types of legal probabilities are perceived by people as different and are expected to affect their behavior in distinct ways. More specifically, we show that uncertainty associated with legal ambiguity and uncertainty associated with imperfect enforcement should not be treated as equal. To test these predictions, we designed a series of between-subjects experimental surveys that measured and compared participants’ attitudes toward compliance in conditions of uncertainty.
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We used a sample of several hundred students both from Israel and the United States who received a description of a hypothetical scenario in which the dimension that was manipulated was related to whether the source of uncertainty was in the legality of the behavior or in the likelihood of enforc ement (while holding the expected sanction constant). Overall these studies confirmed our main hypothesis that people will comply less, when the source of uncertainty is in the law itself, in comparison to situations where the source of uncertainty is in enforcement but the illegality is clear.
Links
Where it is published
- Dataverse dataset page dataverse.harvard.edu/dataset.xhtml?persistentId=doi%3A10.7910%2FDVN%2FNMWITM ↗
landing page · from Harvard Dataverse
- DOI doi.org/10.7910/dvn/nmwitm ↗
DOI / persistent id · from Harvard Dataverse
Catalogue records · 1
- Dataverse API dataverse.harvard.edu/api/datasets/:persistentId/?persistentId=doi%3A10.7910%2FDVN%2… ↗
metadata API · from Harvard Dataverse
Provenance · 1 source records, 6 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Harvard Dataverse | doi:10.7910/DVN/NMWITM | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| created_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| description | source · Harvard Dataverse | connector:dataverse@1.0.0 | /description |
| publication_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| title | source · Harvard Dataverse | connector:dataverse@1.0.0 | /name |
| updated_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| version_label | source · Harvard Dataverse | connector:dataverse@1.0.0 |