Archival Notice
This is an archive page that is no longer being updated. It may contain outdated information and links may no longer function as originally intended.
Models estimated using random effects ordered logistic regression reveal that theoretical accounts based on partisan politics, gendered politics, economic threat, and racial threat largely explain variation in CCW laws over time. Tests for interactions, however, indicate that the influence of gubernatorial politics varied according to Republican strength in the legislature and by region. Also, the impact of racial threat on CCW laws is dependent on the crime rate. Overall, this research advances the literature by simultaneously assessing all plausible state level CCW policies, incorporating novel threat and political predictors, and utilizing a larger sample size than prior studies. (publisher abstract modified)
Downloads
Similar Publications
- The Role of Simulated Data in Making the Best Predictions (from the 87th Annual Meeting of the American Association of Physical Anthropologists - 2018)
- Community Court Grows in Brooklyn: A Comprehensive Evaluation of the Red Hook Community Justice Center, Final Report
- Evaluating Machine Learning Methods on a Large-scale of in Silico Fire Debris Data