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Estimating crime rates from police reports and victim surveys : progressive convergence in time series analyses /
Ansari tests and explains the progressive convergence between the UCR and NCVS crime data series using multi method approach and time seriesanalysis. Graphic and correlational analyses support the convergence between the two series for all categories. However, the cointegration test indicates that t...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
El Paso :
LFB Scholarly Publishing LLC,
2013.
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| Colección: | Criminal justice (LFB Scholarly Publishing LLC)
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| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | Ansari tests and explains the progressive convergence between the UCR and NCVS crime data series using multi method approach and time seriesanalysis. Graphic and correlational analyses support the convergence between the two series for all categories. However, the cointegration test indicates that the series are cointegrated for burglary and are in the process of converging for robbery and violent crime. The results of autoregressive models show that police productivity in terms of crime reporting and the methodological changes in the NCVS in 1992 are significant factors that reduce the diverg. |
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| Descripción Física: | 1 online resource (ix, 262 pages) |
| Bibliografía: | Includes bibliographical references (pages 247-258) and indexes. |
| ISBN: | 9781593327101 1593327102 |