Deterrence and avoidance

Jacob Nussim and Avraham D. Tabbach

International Review of Law and Economics, 2009, vol. 29, issue 4, 314-323

Abstract: This paper explores the effects of public enforcement, in general, and punishment, in particular, on crime levels if offenders can engage in avoidance activities. Avoidance reduces the probability or magnitude of punishment. In general, offenders can reduce their expected punishment either by substituting legal activities for criminal activities (the deterrence effect) or by increasing avoidance activities. This paper shows that increasing the direct costs of crime - by either increasing punishment or enforcement efforts - does not necessarily deter criminal activity and may actually trigger increased crime if avoidance is possible. Furthermore, this paper shows that increasing the opportunity costs of crime (e.g. by subsidizing legal alternatives or through educational and vocational programs) reduces both crime and avoidance and thus, in this respect, is advantageous. The conditions for these outcomes are identified, the economic mechanisms are explained, and an underlying intuitive approach for these results is proposed.

Keywords: Crime; Punishment; Enforcement; Avoidance (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (19)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0144-8188(09)00041-6
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:irlaec:v:29:y:2009:i:4:p:314-323

Access Statistics for this article

International Review of Law and Economics is currently edited by C. Ott, A. W. Katz and H-B. Schäfer

More articles in International Review of Law and Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().