Proceedings of the National Academy of Sciences · 2021 · 36 citations · 42 references
Public AffairsBehavioral SciencesEconomicsBehavioral EconomicsPolicy AnalysisRegulatory EconomicsPunishment TheoryRegulationRegulatory EnforcementBehavioral SanctionsEnforcementPolicy EnforcementPunishment DecisionsSanctionsSanctions Mechanisms
= 816) repeatedly faced temptations to commit violations under two enforcement policies. Controlling for expected value, we found that a policy combining a high probability of inspection with a low severity of fines (HILS) was more effective than an economically equivalent policy that combined a low probability of inspection with a high severity of fines (LIHS). The advantage of prioritizing inspection frequency over punishment severity (HILS over LIHS) was greater for participants who, in the absence of enforcement, started out with a higher violation rate. Consistent with studies of decisions from experience, frequent enforcement with small fines was more effective than rare severe fines even when we announced the severity of the fine in advance to boost deterrence. In addition, in line with the phenomenon of underweighting of rare events, the effect was stronger when the probability of inspection was rarer (as in most real-life inspection probabilities) and was eliminated under moderate inspection probabilities. We thus recommend that policymakers looking to effectively reduce recurring violations among noncriminal populations should consider increasing inspection rates rather than punishment severity.
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Crime and Punishment: An Economic Approach
Gary S. Becker · Journal of Political Economy · 1968 · 13.3K citations
Uri Gneezy, Aldo Rustichini · The Journal of Legal Studies · 2000 · 1.8K citations
Decisions from Experience and the Effect of Rare Events in Risky Choice
Ralph Hertwig, Greg Barron, Elke U. Weber et al. · Psychological Science · 2004 · 1.7K citations · Full text