Published July 1990 | Version Submitted
Working Paper Open

Criminal Choice, Nonmonetary Sanctions, and Marginal Deterrence: A Normative Analysis

Abstract

This paper develops a normative model of optimal sanctions in the Becker Tradition which emphasizes the role of marginal deterrence. The paper complements Shavell's 1987 American Economic Review paper, the essential difference being that Shavell's model concentrates on variations in the sanction imposed within a single category of acts (a specific crime) while the model in this paper concentrates on variations in the sanction imposed across categories of acts (different crimes). In their most general formulations, neither Shavell's model nor the model developed in this paper yields the result that acts with greater social harm should receive greater sanctions. But special cases, which readers may or may not find reasonable, do yield that result, within crimes for both models and across crimes in the model developed in this paper. This paper also identifies the necessary condition of jointness in the cost of law enforcement in the case of comparisons across crimes.

Additional Information

Revised version. Original dated to May 1989. This work was supported by the National Science Foundation (Grant no. SES-8902545). It is adapted in substantial measure from Reinganum and Wilde (1986). I thank Prof. Reinganum for her contributions but she bears no responsibility for opinions or conclusions stated herein, or any errors or shortcomings of the analysis. Published as Wilde, Louis L. "Criminal choice, nonmonetary sanctions and marginal deterrence: A normative analysis." International review of Law and Economics 12, no. 3 (1992): 333-344.

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Additional titles

Alternative title
Criminal choice, nonmonetary sanctions and marginal deterrence: A normative analysis

Identifiers

Eprint ID
81048
Resolver ID
CaltechAUTHORS:20170831-153642931

Funding

NSF
SES-8902545

Dates

Created
2017-08-31
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Updated
2019-10-03
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Caltech Custom Metadata

Caltech groups
Social Science Working Papers
Series Name
Social Science Working Paper
Series Volume or Issue Number
743