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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Detalles Bibliográficos
Autor principal: Prieto Curiel, Rafael (Autor)
Otros Autores: Bishop, Steven Richard ; Collignon Delmar, Sofía
Tipo de documento: Electrónico Artículo
Lenguaje:Inglés
Publicado: 2018
En: Journal of quantitative criminology
Año: 2018, Volumen: 34, Número: 3, Páginas: 775-803
Acceso en línea: Presumably Free Access
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Palabras clave:
Chronic victimisation
Crime concentration
Crime concentration
Crime immunity
Gini coefficient
Lorenz curve
Mixture model
Victimisation profile
Descripción
Sumario: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