Table 3.
Models Predicting Firearm-Related Homicide Rate from 2012 to 2016 in the US
Model 1 (R2 = 0.609) | Model 2 (R2 = 0.612) | Model 3 (R2 = 0.642) | Model 4 (R2 = 0.642) | |
---|---|---|---|---|
β (SE) | β (SE) | β (SE) | β (SE) | |
Primary care provider rate | − 0.06 (0.05) | − 0.06 (0.05) | − 0.05 (0.05) | − 0.05 (0.05) |
Psychiatrist rate | 0.02 (0.01) | 0.02 (0.01) | − 0.01 (0.01) | 0.01 (0.01) |
Poverty rate | 0.11 (0.03)** | 0.10 (0.03)** | 0.07 (0.03)** | 0.07 (0.03)* |
Hunting license rate | − < 0.01 (< 0.01)* | − < 0.01 (< 0.01)* | − < 0.01 (< 0.01) | − < 0.01 (< 0.01) |
Density | − 0.12 (0.06)* | − 0.12 (0.06)* | − 0.17 (0.06)** | − 0.16 (0.06)** |
Medicaid generosity | − 0.28 (0.20) | − 0.60 (0.22)** | − 0.58 (0.23)* | |
Alcohol regulations | 0.28 (0.08)** | 0.28 (0.08)** | ||
Worker index | 0.18 (0.13) | 0.18 (0.13) | ||
Violent crime prohibition laws | − 0.04 (0.18) |
SE, standard error; N = 242. This table displays fixed effects models of state-level healthcare factors and policy factors predicting firearm-related homicide rate, excluding the District of Columbia and US territories. Models are adjusted for year and census division. *Value is significant at the 0.05 level. **Value is significant at the 0.01 level