Projecting crime rates: An age, period, and cohort model using ARIMA techniques

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The object of this paper is to generate forecasts of U.S. index property and violent crimes. A three-step procedure is employed. First, the age-specific crime rates are decomposed into age, period, and cohort effects. Then the period and cohort effects are characterized using regression and transfer...

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Detalles Bibliográficos
Autor principal: Klepinger, Daniel H. (Autor)
Otros Autores: Weis, Joseph G.
Tipo de documento: Electrónico Artículo
Lenguaje:Inglés
Publicado: 1985
En: Journal of quantitative criminology
Año: 1985, Volumen: 1, Número: 4, Páginas: 387-416
Acceso en línea: Volltext (lizenzpflichtig)
Volltext (lizenzpflichtig)
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Palabras clave:
Cohort
Crime
Projections
Forecasts
Descripción
Sumario:The object of this paper is to generate forecasts of U.S. index property and violent crimes. A three-step procedure is employed. First, the age-specific crime rates are decomposed into age, period, and cohort effects. Then the period and cohort effects are characterized using regression and transfer functions, respectively. Finally, these statistical models are used to generate forecasts of the period and cohort effects and hence forecasted values of the age-specific crime rates. The forecasts are compared with existing data and found to be quite accurate. Issues concerning the forecast efficiency of this approach compared to that of others are also discussed.
ISSN:1573-7799
DOI:10.1007/BF01064188