Measuring the Distribution of Crime and Its Concentration

Generally speaking, crime is, fortunately, a rare event. As far as modelling is concerned, this sparsity of data means that traditional measures to quantify concentration are not appropriate when applied to crime suffered by a population. Our objective is to develop a new technique to measure the co...

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Bibliographische Detailangaben
1. VerfasserIn: Prieto Curiel, Rafael (VerfasserIn)
Beteiligte: Bishop, Steven Richard ; Collignon Delmar, Sofía
Medienart: Elektronisch Aufsatz
Sprache:Englisch
Veröffentlicht: 2018
In: Journal of quantitative criminology
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Schlagwörter:
Chronic victimisation
Crime concentration
Crime concentration
Crime immunity
Gini coefficient
Lorenz curve
Mixture model
Victimisation profile
Beschreibung
Zusammenfassung:Generally speaking, crime is, fortunately, a rare event. As far as modelling is concerned, this sparsity of data means that traditional measures to quantify concentration are not appropriate when applied to crime suffered by a population. Our objective is to develop a new technique to measure the concentration of crime which takes into account its low frequency of occurrence and its high degree of concentration in such a way that this measure is comparable over time and over different populations.
ISSN:1573-7799
DOI:10.1007/s10940-017-9354-9