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Published May 2022 | Submitted + Accepted Version
Journal Article Open

Deterrence Effects of Enforcement Schemes: An Experimental Study

Abstract

Private and public organizations are interested in finding effective ways to reduce crime and promote ethical behavior without investing heavy resources into monitoring and compliance. In this paper, we experimentally study how revealing different information about a fine distribution affects deterrence of an undesirable behavior. We use a novel incentive-compatible elicitation method to observe subjects lying (the undesirable behavior) and quantify the extent to which this behavior responds to information structures. We find that punishment schemes that communicate only partial information (the minimum fine in particular) are more effective than full information schemes at deterring lying. We explore the mechanism driving this result and link it to subjects' beliefs about their own versus the average expected fine in treatments with partial information.

Additional Information

© 2021 INFORMS. Received: April 23, 2020; Revised: November 10, 2020; January 24, 2021; Accepted: February 3, 2021; Published Online in Articles in Advance: June 4, 2021. This paper was accepted by Yan Chen, behavioral economics and decision analysis. The authors benefited from helpful feedback from three anonymous referees, Devdeepta Bose, Colin Camerer, Federico Echenique, Lindsey Gailmard, Sera Linardi, Luciano Pomatto, Pietro Ortoleva, Stephanie Wang, and audience members at the Los Angeles Area Theory Workshop and the Economic Science Association conference in Dijon (2019) and Society for the Advancement of Behavioral Economics virtual conference attendees (2020).

Attached Files

Accepted Version - finalManuscript.pdf

Submitted - Manuscript_revised.pdf

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Additional details

Created:
August 22, 2023
Modified:
October 23, 2023