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...
Authors: | ; ; |
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Format: | Electronic Article |
Language: | English |
Published: |
2018
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In: |
Journal of experimental criminology
Year: 2018, Volume: 14, Issue: 2, Pages: 141-154 |
Online Access: |
Volltext (Resolving-System) |
Journals Online & Print: | |
Check availability: | HBZ Gateway |
Keywords: |
Summary: | 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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ISSN: | 1572-8315 |
DOI: | 10.1007/s11292-017-9313-3 |