TABLE 1—
Weight Allocation for Synthetic Control Analysis of New York State: 1999‒2019
| State | Weight | ||
| Firearm Mortality | Firearm Suicide | Firearm Homicide | |
| Alabama | 0.000 | 0.000 | 0.000 |
| Alaska | 0.000 | 0.000 | 0.158 |
| Arizona | 0.000 | 0.000 | 0.058 |
| Arkansas | 0.000 | 0.000 | 0.000 |
| California | 0.192 | 0.000 | 0.000 |
| Connecticut | 0.000 | 0.037 | 0.000 |
| Delaware | 0.000 | 0.000 | 0.000 |
| Florida | 0.000 | 0.000 | 0.000 |
| Georgia | 0.000 | 0.000 | 0.000 |
| Hawaii | 0.305 | 0.082 | 0.000 |
| Idaho | 0.000 | 0.000 | 0.000 |
| Illinois | 0.000 | 0.098 | 0.000 |
| Kansas | 0.000 | 0.000 | 0.156 |
| Kentucky | 0.000 | 0.000 | 0.000 |
| Louisiana | 0.000 | 0.000 | 0.000 |
| Maine | 0.000 | 0.000 | 0.000 |
| Maryland | 0.031 | 0.000 | 0.000 |
| Massachusetts | 0.376 | 0.649 | 0.017 |
| Minnesota | 0.000 | 0.000 | 0.123 |
| Mississippi | 0.000 | 0.000 | 0.000 |
| Missouri | 0.000 | 0.000 | 0.010 |
| Montana | 0.000 | 0.000 | 0.000 |
| Nebraska | 0.041 | 0.000 | 0.000 |
| Nevada | 0.000 | 0.000 | 0.060 |
| New Hampshire | 0.026 | 0.000 | 0.000 |
| New Jersey | 0.000 | 0.063 | 0.000 |
| New Mexico | 0.000 | 0.000 | 0.000 |
| North Dakota | 0.000 | 0.000 | 0.000 |
| Ohio | 0.000 | 0.000 | 0.000 |
| Oklahoma | 0.000 | 0.000 | 0.000 |
| Oregon | 0.000 | 0.000 | 0.106 |
| Pennsylvania | 0.000 | 0.071 | 0.000 |
| Rhode Island | 0.012 | 0.000 | 0.000 |
| South Carolina | 0.000 | 0.000 | 0.000 |
| South Dakota | 0.000 | 0.000 | 0.000 |
| Texas | 0.000 | 0.000 | 0.000 |
| Utah | 0.000 | 0.000 | 0.241 |
| Virginia | 0.000 | 0.000 | 0.064 |
| West Virginia | 0.000 | 0.000 | 0.000 |
| Wisconsin | 0.000 | 0.000 | 0.000 |
| Wyoming | 0.000 | 0.000 | 0.000 |
| Washington, DC | 0.017 | 0.000 | 0.009 |
| RMSPE synthetic control/all control states | 0.159/0.618 | 0.102/0.424 | 0.104/0.533 |
Note. RMSPE = root mean square prediction error. The RMSPE provides a measure of the fit, with lower values indicating a better alignment with New York during the preintervention period.