Estimation issues associated with time-series: cross-section analysis in criminology
In this paper we offer a relatively comprehensive introduction to estimation issues associated with time-series—cross-section analysis in criminology. We divide the estimation issues into two categories: (1) those that have received a fair amount of attention in the literature and (2) those that hav...
Autores principales: | ; |
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Tipo de documento: | Electrónico Artículo |
Lenguaje: | Inglés |
Publicado: |
2004
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En: |
Western criminology review
Año: 2004, Volumen: 5, Número: 1, Páginas: 35-49 |
Acceso en línea: |
Volltext (kostenfrei) |
Verificar disponibilidad: | HBZ Gateway |
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100 | 1 | |a Worrall, John L. |e VerfasserIn |0 (DE-588)1025366190 |0 (DE-627)722166389 |0 (DE-576)183289013 |4 aut | |
109 | |a Worrall, John L. |a Worrall, John Lampert |a Worrall, John | ||
245 | 1 | 0 | |a Estimation issues associated with time-series |b cross-section analysis in criminology |c John L. Worrall, Travis C. Pratt |
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520 | |a In this paper we offer a relatively comprehensive introduction to estimation issues associated with time-series—cross-section analysis in criminology. We divide the estimation issues into two categories: (1) those that have received a fair amount of attention in the literature and (2) those that have not. Issues that have received attention are heterogeneity, autocorrelation, panel heteroskedasticity, nonstationarity, and unit-specific trends. Issues that have not received much attention are spatial autocorrelation and contemporaneous correlation. Using county-level data from the state of California, focusing in particular on the crimes of assault, robbery, and burglary, we control for the first set of estimation problems, then we explore the effects of the latter set. We conclude that contemporaneous correlation deserves more attention than spatial autocorrelation. Also, we found that assault is more sensitive to the estimation issues raised than either robbery or burglary. | ||
650 | 4 | |a Methodenfragen | |
650 | 4 | |a Kriminologische Forschung | |
650 | 4 | |a Zeitreihen | |
650 | 4 | |a time-series--cross-section data | |
650 | 4 | |a Heterogeneity | |
650 | 4 | |a autocorrelation | |
650 | 4 | |a panel heteroskedasticity | |
650 | 4 | |a Nonstationarity | |
700 | 1 | |a Pratt, Travis C. |e VerfasserIn |0 (DE-588)137111061 |0 (DE-627)58993449X |0 (DE-576)184978777 |4 aut | |
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