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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%