Frequent Probabilistic Punishment in Law Enforcement

نویسندگان

  • Orit Perry
  • Ido Erev
  • Ernan Haruvy
چکیده

The timing and the frequency of punishment are critical elements in law enforcement. Previous studies suggest the superiority of immediate punishment schemes over delayed punishment, as well as the importance of frequent punishment. Yet law enforcement schemes which utilize both frequent and immediate punishment may be cost prohibitive in real settings. In this work, we propose the “bad lottery immediate punishment” as an effective substitute to immediate punishment. This is a punishment mechanism that signals immediately to an offender that his violation has been spotted, but the actual penalty is delayed and is probabilistic. This finding has far reaching implications in law enforcement, where probabilistic punishment is potentially more cost effective.

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تاریخ انتشار 2000