Criminal network, leniency, and market externalities
Abstract We analyze the self‐reporting incentives fostered by a leniency program within a criminal network formed by a supplier of an illegal good and his dealers who compete against each other in the product market. We show that when it is viable, a first‐informant rule always performs better than an all‐informant rule—that is, it induces a lower level of crime. Nevertheless, the viability of a first‐informant rule may be compromised if the baseline probability of conviction is sufficiently low, thereby placing disproportionate reliance on leniency over other investigative efforts for securing convictions.
Authors
- Paolo Roberti (ORCID: https://orcid.org/0000-0002-2577-0154)
- Salvatore Piccolo (ORCID: https://orcid.org/0000-0003-2959-9291)
- Giovanni Immordino (ORCID: https://orcid.org/0000-0002-8352-973X)
Institutions
- University of Bergamo (IT)
- Free University of Bozen-Bolzano (IT)
- University of Naples Federico II (IT)
Publication Details
- Journal
- Journal of Public Economic Theory
- Published
- 2024-08-01
- DOI
- https://doi.org/10.1111/jpet.12709
- Primary Topic
- Auction Theory and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00