Table 4 Firth’s logistic regression model for socio-economic variables (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) | |
|---|---|---|---|---|
| Crowded housing (%) |
1.204 (0.148) |
0.923 (0.146) |
1.140 (0.135) |
0.755 (0.175) |
| Vacant housing (%) |
0.967 (0.099) |
0.905 (0.102) |
1.318*** (0.127) |
0.954 (0.104) |
| Income diversity |
0.810* (0.094) |
1.446** (0.246) |
1.270*** (0.133) |
0.744** (0.081) |
| Poverty rate |
0.833** (0.055) |
1.066 (0.060) |
1.083 (0.055) |
0.976 (0.061) |
| Total population (\(\backslash 1000\)) |
1.039** (0.016) |
1.039*** (0.015) |
1.032** (0.014) |
1.056*** (0.019) |
| Burglary rate 2019 (per 10k in.) |
1.030 (0.024) | |||
| Assault rate 2019 (per 10k in.) |
1.029** (0.013) | |||
| Narcotics rate 2019 (per 10k in.) |
1.003 (0.006) | |||
| Robbery rate 2019 (per 10k in.) |
1.013 (0.012) | |||
| Intercept |
3.10e+4 (2.33e+5) |
0.000** (0.000) |
0.000* (0.000) |
4.35e+5 (3.02e+6) |
| N | 77 | 77 | 77 | 77 |
| Chi2 | 8.384 | 10.066 | 17.579 | 13.459 |
| p | 0.211 | 0.122 | 0.007 | 0.036 |