Browsing by Author "TenEyck, Michael"
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Item The Effect of Medical Marijuana Laws on Crime: Evidence from State Panel Data, 1990-2006(Public Library of Science, 2014-03) Morris, Robert G.; TenEyck, Michael; Barnes, James C.; Kovandzic, Tomislav; 0000 0003 5627 7714 (Barnes, JC); 0000 0000 5311 5742 (Kovandzic, T); 2011138406 (Barnes, JC); 2006005160 (Kovandzic, T); 87819498 (Murdoch, JC)Background: Debate has surrounded the legalization of marijuana for medical purposes for decades. Some have argued medical marijuana legalization (MML) poses a threat to public health and safety, perhaps also affecting crime rates. In recent years, some U.S. states have legalized marijuana for medical purposes, reigniting political and public interest in the impact of marijuana legalization on a range of outcomes. Methods: Relying on U.S. state panel data, we analyzed the association between state MML and state crime rates for all Part I offenses collected by the FBI. Findings: Results did not indicate a crime exacerbating effect of MML on any of the Part I offenses. Alternatively, state MML may be correlated with a reduction in homicide and assault rates, net of other covariates. Conclusions: These findings run counter to arguments suggesting the legalization of marijuana for medical purposes poses a danger to public health in terms of exposure to violent crime and property crimes.Item Indicators of domestic/intimate partner violence are structured by genetic and nonshared environmental influences(Elsevier, 2012-11-17) Barnes, James C.; TenEyck, Michael; Boutwell, Brian B.; Beaver, Kevin M.; 0000 0003 5627 7714 (Barnes, JC); 2011138406 (Barnes, JC); Barnes, James C.One of the most consistent findings to emerge from domestic/intimate partner violence (IPV) research is that IPV tends to ―run in the family.‖ Social learning theories appear to be consistent with empirical data, but almost no attention has been given to alternative explanations, including that genetic factors explain intergenerational transmission of IPV. Data for this study were drawn from wave 4 of the National Longitudinal Study of Adolescent Health (Add Health). Three indicators of IPV were measured and genetic factors accounted for 24% of the variance in hitting one’s partner, 54% of the variance in injuring one’s partner, and 51% of the variance in forcing sexual activity on one’s partner. The shared environment explained none of the variance across all three indicators and the nonshared environment explained the remainder of the variance. These findings point to the importance of genetic factors in the etiology of IPV.