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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
  1. ****Significant at 99.9%, ***Significant at 99%, **Significant at 95%, *Significant at 90%
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