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Table 5 Firth’s logistic regression model for health/demographic 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)
% Population aged >65 0.781**
(0.087)
1.008
(0.074)
0.863**
(0.067)
0.782**
(0.091)
% Population aged <18 0.932
(0.063)
0.862**
(0.052)
0.973
(0.049)
0.957
(0.061)
Overall health status 1.015
(0.052)
1.026
(0.045)
0.919**
(0.035)
1.178**
(0.092)
ln (Covid cases rate) (per 10k in) 1.130
(0.631)
0.568
(0.238)
0.477*
(0.206)
0.633
(0.335)
Burglary rate 2019 (per 10k in.) 1.019
(0.018)
   
Assault rate 2019 (per 10k in.)   1.010*
(0.005)
  
Narcotics rate 2019 (per 10k in.)    1.030***
(0.011)
 
Robbery rate 2019 (per 10k in.)     1.053****
(0.016)
Intercept 1.111
(6.529)
12.307
(67.700)
3.04e+5
(1.54e+6)
0.000
(0.000)
N 77 77 77 77
Chi2 5.657 11.877 12.837 13.096
p 0.341 0.037 0.025 0.022
  1. ****Significant at 99.9%, ***Significant at 99%, **Significant at 95%, *Significant at 90%
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