A Comparison of Methods for Analyzing Criminological Panel Data
We demonstrate that fixed- and random-effects models for pooled cross-sectional and time series data, and latent growth curve models for panel data are special cases of a more general model. We compare the estimates obtained from each type of model for a data set consisting of homicide rates and a v...
| Autores principales: | ; |
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| Tipo de documento: | Electrónico Artículo |
| Lenguaje: | Inglés |
| Publicado: |
2008
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| En: |
Journal of quantitative criminology
Año: 2008, Volumen: 24, Número: 1, Páginas: 51-72 |
| Acceso en línea: |
Volltext (lizenzpflichtig) Volltext (lizenzpflichtig) |
| Journals Online & Print: | Gargar...
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| Verificar disponibilidad: | HBZ Gateway |
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| 245 | 1 | 2 | |a A Comparison of Methods for Analyzing Criminological Panel Data |
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| 520 | |a We demonstrate that fixed- and random-effects models for pooled cross-sectional and time series data, and latent growth curve models for panel data are special cases of a more general model. We compare the estimates obtained from each type of model for a data set consisting of homicide rates and a vector of explanatory variables for 400 US counties over a 15-year period. Most, but not all, estimates are similar in the two models. We identify circumstances under which one approach may be advantageous to the other. | ||
| 650 | 4 | |a Homicide rates | |
| 650 | 4 | |a Latent growth curve models | |
| 650 | 4 | |a Fixed effects models | |
| 650 | 4 | |a Random effects models | |
| 650 | 4 | |a panel data | |
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