Optimal Law Enforcement with Ordered Leniency

B-Tier
Journal: Journal of Law and Economics
Year: 2020
Volume: 63
Issue: 1
Pages: 71 - 111

Authors (2)

Claudia M. Landeo (University of Alberta) Kathryn E. Spier (not in RePEc)

Score contribution per author:

1.005 = (α=2.01 / 2 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

This paper studies the design of optimal enforcement policies with ordered leniency to detect and deter harmful short-term activities committed by groups of injurers. With ordered leniency, the degree of leniency granted to an injurer who self-reports depends on his or her position in the self-reporting queue. We show that the ordered-leniency policy that induces maximal deterrence gives successively larger discounts to injurers who secure higher positions in the reporting queue. This creates a so-called race to the courthouse in which all injurers self-report promptly and, as a result, social harm is reduced. We show that the expected fine increases with the size of the group, which thus discourages the formation of large illegal enterprises. The first-best outcome is obtained with ordered leniency when the externalities associated with the harmful activities are not too great. Our findings complement Kaplow and Shavell’s results for single-injurer environments.

Technical Details

RePEc Handle
repec:ucp:jlawec:doi:10.1086/705829
Journal Field
Industrial Organization
Author Count
2
Added to Database
2026-01-25