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Sex Offenders and Residential Location

A Predictive-Analytical Framework

Bibliographic Data

ID4140503
AuthorsElizabeth A Mack (0000-0002-1829-8787, Indiana University, corresponding author), T H Grubesic (0000-0003-4517-586X, Indiana University, corresponding author)
Year2010
Volume42
Issue8
Pages1925-1942
Publication date2010-08-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironment and Planning A Economy and Space (JOURNAL)
Journal identifiersISSN: 0308-518X • E-ISSN: 1472-3409
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1068/a42370
OpenAlexW2078879330
LanguageEN
Citations received2
References cited52

Despite the growing body of research examining the collateral consequences of legislation governing sex offenders, a complete understanding of their residential choices post release remains elusive. This paper develops a predictive-analytical framework that helps determine which demographic and socioeconomic factors best forecast the residential choices of convicted sex offenders. Specifically, a derived index of social disorganization (ISDOR) is implemented in both statistical and nonlinear data mining approaches to predict the presence of sex offenders in a community. The results of the analysis are encouraging, predicting nearly 75% of registered offender locations correctly. The utility of this framework as a tool for public policy and law enforcement is discussed

Actuarial science · Collateral · Criminology · Economics · Enforcement · Law enforcement · Legislation · Political science · Population · Sex offender · Socioeconomic status · Sociology · Crime Patterns and Interventions · Criminal Justice and Corrections Analysis · Demography · Law · Psychology · Psychopathy, Forensic Psychiatry, Sexual Offending

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Unique citing works2
Citations per year0,15
Citation span2013 - 2018 (6)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 2

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