NATIONAL BUREAU OF ECONOMIC RESEARCH
NATIONAL BUREAU OF ECONOMIC RESEARCH
loading...

Ordered Leniency: An Experimental Study of Law Enforcement with Self-Reporting

Claudia M. Landeo, Kathryn E. Spier

NBER Working Paper No. 25094
Issued in September 2018
NBER Program(s):Law and Economics

This paper reports the results of an experiment designed to assess the ability of an enforcement agency to detect and deter harmful short-term activities committed by groups of injurers. With ordered-leniency policies, early cooperators receive reduced sanctions. We replicate the strategic environment described by Landeo and Spier (2018). In theory, the optimal ordered-leniency policy depends on the refinement criterion applied in case of multiplicity of equilibria. Our findings are as follows. First, we provide empirical evidence of a "race-to-the-courthouse" effect of ordered leniency: Mild and Strong Leniency induce the injurers to self-report promptly. These findings suggest that the injurers' behaviors are aligned with the risk-dominance refinement. Second, Mild and Strong Leniency significantly increase the likelihood of detection of harmful activities. This fundamental finding is explained by the high self-reporting rates under ordered-leniency policies. Third, as a result of the increase in the detection rates, the averages fines are significantly higher under Mild and Strong Leniency. As expected when the risk-dominance refinement is applied, Mild Leniency exhibits the highest average fine.

You may purchase this paper on-line in .pdf format from SSRN.com ($5) for electronic delivery.

Access to NBER Papers

You are eligible for a free download if you are a subscriber, a corporate associate of the NBER, a journalist, an employee of the U.S. federal government with a ".GOV" domain name, or a resident of nearly any developing country or transition economy.

If you usually get free papers at work/university but do not at home, you can either connect to your work VPN or proxy (if any) or elect to have a link to the paper emailed to your work email address below. The email address must be connected to a subscribing college, university, or other subscribing institution. Gmail and other free email addresses will not have access.

E-mail:

Machine-readable bibliographic record - MARC, RIS, BibTeX

Document Object Identifier (DOI): 10.3386/w25094

 
Publications
Activities
Meetings
NBER Videos
Themes
Data
People
About

National Bureau of Economic Research, 1050 Massachusetts Ave., Cambridge, MA 02138; 617-868-3900; email: info@nber.org

Contact Us