Ramanambonona, Ambinintsoa and Razafindravonona, Jean and Ranoelimanana, Dimby (2023): Optimal Law Enforcement: Nuance Between Arrest and Punishment.
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Abstract
In the economic literature on law enforcement, the distinction between the probability of arrest and the probability of conviction is not explicit. However, detection does not necessarily imply punishment. This paper focuses on proving that punishment cannot be applied without preceding detection. In this context, in the case of non-apprehension, the offender expects a double gain: monetary and non-monetary gains. The result shows that if the arrest is optimal, the reputation is equal to zero, which means that the arrest deters reputational gain. Punishment has a negative impact on the monetary gain expected by the offender
Item Type: | MPRA Paper |
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Original Title: | Optimal Law Enforcement: Nuance Between Arrest and Punishment |
English Title: | Optimal Law Enforcement: Nuance Between Arrest and Punishment |
Language: | English |
Keywords: | Deterrence; Law Enforcement; Probability of Arrest; Probability of Conviction; Reputation; Sanction |
Subjects: | K - Law and Economics > K4 - Legal Procedure, the Legal System, and Illegal Behavior K - Law and Economics > K4 - Legal Procedure, the Legal System, and Illegal Behavior > K42 - Illegal Behavior and the Enforcement of Law |
Item ID: | 113760 |
Depositing User: | Ambinintsoa Ramanambonona |
Date Deposited: | 17 Jan 2023 15:37 |
Last Modified: | 17 Jan 2023 15:37 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/113760 |