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Record Nr. |
UNINA9910786238003321 |
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Autore |
Ansari Sami <1966-> |
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Titolo |
Estimating crime rates from police reports and victim surveys [[electronic resource] ] : progressive convergence in time series analyses / / Sami Ansari |
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Pubbl/distr/stampa |
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El Paso, : LFB Scholarly Publishing LLC, 2013 |
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ISBN |
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Descrizione fisica |
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1 online resource (272 p.) |
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Collana |
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Criminal justice: recent scholarship |
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Disciplina |
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Soggetti |
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Victims of crimes |
Victims of crimes surveys |
Criminal statistics |
Police reports |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and indexes. |
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Nota di contenuto |
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Acknowledgments -- Introduction -- UCR and NCVS : historical and methodological review -- Conception, exploration, and explanation of convergence between the UCR and NCVS : analytical framework and major hypotheses -- Data, measurement, and analytic strategy -- Are the UCR and NCVS converging? -- Modeling convergence : investigation of factors -- Appendix A: Comparison between the UCR and NCVS in research -- Appendix B: List of variables explored and used in the study -- Appendix C: Stationarity check and transformation -- References -- Indexes. |
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Sommario/riassunto |
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Ansari tests and explains the progressive convergence between the UCR and NCVS crime data series using multi method approach and time series analysis. 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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