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SSRN Electronic Journal
Article . 2000 . Peer-reviewed
Data sources: Crossref
EconStor
Research . 2000
Data sources: EconStor
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Optimal Leniency Programs

Authors: Spagnolo, Giancarlo;

Optimal Leniency Programs

Abstract

Leniency programs reduce sanctions for law violators that self-report. I focus on their ability to deter price-fixing cartels - and organized crime in general - by increasing incentives to "cheat" on partners. Moderate leniency programs that reduce/cancel sanctions for a spontaneously reporting party - as those normally implemented in reality - cannot affect cartels and other organized crime. Courageous leniency programs that reward spontaneously self-reporting parties may instead completely and costlessly deter them. When fines/rewards are pure transfers, optimal leniency programs maximize rewards for self-reporting. When financing rewards is costly, optimal leniency programs are restricted to the first reporting party and make this residual claimant for the fines paid by the others.

Keywords

illegal trade, Rechtsökonomik, Korruption, ddc:330, K42, K21, corruption, organised crime, collusion, Kartell, cartel deterrence, Organisierte Kriminalität, law enforcement, antitrust, Self reporting, crime deterrence, Strafrecht, Theorie

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    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.
    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).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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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!
27
Top 10%
Top 10%
Top 10%
bronze