Table 6 Firth’s logistic regression model for other crimes evolution (D.V. is “Presence of significant crime reduction”—CR = 1)
From: Disentangling community-level changes in crime trends during the COVID-19 pandemic in Chicago
|
(1) Burglary sig. Reduction OR (SE) |
(2) Assault sig. Reduction OR (SE) |
(3) Narcotics sig. Reduction OR (SE) |
(4) Robbery sig. Reduction OR (SE) | |
|---|---|---|---|---|
| Sig. reduction Assaults |
0.978 (0.768) |
3.024* (1.851) |
2.123 (1.593) | |
| Sig. reduction Narcotics |
1.958 (1.958) |
2.984* (1.920) |
1.512 (1.122) | |
| Sig. reduction Robberies |
5.801** (4.417) |
2.046 (1.528) |
1.413 (1.323) | |
| Sig. reduction Burglaries |
1.025 (0.799) |
2.494 (2.023) |
6.373** (4.971) | |
| Burglary rate 2019 (per 10k in.) |
0.987 (0.018) | |||
| Assault rate 2019 (per 10k in.) |
0.988 (0.005) | |||
| Narcotics rate 2019 (per 10k in.) |
1.024*** (0.009) | |||
| Robbery rate 2019 (per 10k in.) |
1.015** (0.008) | |||
| Intercept |
0.139*** (0.098) |
0.193**** (0.095) |
0.204**** (0.092) |
0.039**** (0.029) |
| N | 77 | 77 | 77 | 77 |
| Chi2 | 6.721 | 4.916 | 11.385 | 9.889 |
| p | 0.151 | 0.296 | 0.023 | 0.042 |