Time series robustness checks to test the effects of the 1996 Australian firearm law on cause-specific mortality
Many studies utilize time series methods to identify causal effects without accounting for an underlying time trend. We show that accounting for trends changes the conclusions in the study of Chapman et al. (JAMA, 316(3), 291-299, 2016), who evaluated the impact of the Australian firearm law in 1996...
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| Otros Autores: | ; |
| Tipo de documento: | Electrónico Artículo |
| Lenguaje: | Inglés |
| Publicado: |
2018
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| En: |
Journal of experimental criminology
Año: 2018, Volumen: 14, Número: 2, Páginas: 141-154 |
| Acceso en línea: |
Volltext (Resolving-System) |
| Journals Online & Print: | Gargar...
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| Verificar disponibilidad: | HBZ Gateway |
| Palabras clave: |
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| 520 | |a Many studies utilize time series methods to identify causal effects without accounting for an underlying time trend. We show that accounting for trends changes the conclusions in the study of Chapman et al. (JAMA, 316(3), 291-299, 2016), who evaluated the impact of the Australian firearm law in 1996. We also introduce a new empirical method that tests whether their empirical strategy can actually identify a causal effect that is also useful for panel analyses. | ||
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