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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VerfasserInnen: Prieto Curiel, Rafael (VerfasserIn) ; Bishop, Steven Richard (VerfasserIn) ; Collignon Delmar, Sofía (VerfasserIn)
Medienart: Elektronisch Aufsatz
Sprache:Englisch
Veröffentlicht: 2018
In: Journal of quantitative criminology
Jahr: 2018, Band: 34, Heft: 3, Seiten: 775-803
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Schlagwörter:
Gini coefficient
Lorenz curve
Crime immunity
Chronic victimisation
Victimisation profile
Mixture model
Crime concentration
Crime concentration
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