Table A2.
TERGM additional controls
| Formation Models | Model 1a Cut-off 0.005 | Model 2a Backbone alpha 0.05 | |
|---|---|---|---|
| Network structure | |||
| Edge | -4.1 (0.32) *** | -4.18 (0.27) *** | |
| Reciprocity | -0.07 (0.17) | 0.47 (0.11) *** | |
| Geometrical weighted in-degree (popularity spread) | -5 (0.31) *** | -1.33 (0.27) *** | |
| Receiver effects (“Work” community effects) | |||
| Violent crime rate | -0.54 (2.43) | -1.87 (2.32) | |
| Residential stability | -1.03 (0.08) *** | -0.33 (0.06) *** | |
| Disadvantage | 0.14 (0.1) | 0.06 (0.09) | |
| Race category (Base: White) | |||
| Black | 0.09 (0.25) | -0.96 (0.25) *** | |
| Latino | -0.62 (0.2) ** | -0.3 (0.2) | |
| Mixed | -0.42 (0.18) * | 0.1 (0.18) | |
| Sender effects (“Home” community effects) | |||
| Violent crime rate | 13.02 (3.04) *** | -2.42 (2.43) | |
| Residential stability | 0.44 (0.08) *** | 0.56 (0.06) *** | |
| Disadvantage | -0.53 (0.12) *** | -0.15 (0.09) | |
| Race category (Base: White) | |||
| Black | -0.68 (0.23) ** | -0.68 (0.22) ** | |
| Latino | -0.6 (0.2) ** | 0.03 (0.18) | |
| Mixed | 0.03 (0.17) | 0.29 (0.17) † | |
| Relational effects | |||
| Spatial proximity | 2.13 (0.15) *** | 1.39 (0.12) *** | |
| Transportation | 0.11 (0.03) *** | 0.18 (0.02) *** | |
| Dissimilarity | |||
| Violent crime rate | -11.85 (2.98) *** | -4.37 (2.44) † | |
| Residential stability | 0.3 (0.11) ** | 0.14 (0.09) | |
| Disadvantage | -0.47 (0.09) *** | -0.39 (0.07) *** | |
| Similarity | |||
| White | 0.36 (0.24) | -0.05 (0.27) | |
| Black | 0.68 (0.28) * | 2.69 (0.25) *** | |
| Latino | 1.05 (0.3) *** | 0.53 (0.3) † | |
| Mixed | -0.23 (0.21) | -0.1 (0.21) | |
| AIC | -741370 | -738843 | |
| BIC | -741157 | -738630 | |
|
| |||
| Dissolution Models | Model 1b Cut-off 0.005 | Model 2b Backbone alpha 0.05 | |
|
| |||
| Network structure | |||
| Edge | 2.76 (0.33) *** | 1.92 (0.31) *** | |
| Reciprocity | 0.21 (0.18) | 0.45 (0.14) ** | |
| Geometrical weighted in-degree (popularity spread) | -1.69 (0.25) *** | -1.39 (0.19) *** | |
| Receiver effects (“Work” community effects) | |||
| Violent crime rate | 28.72 (2.74) *** | 20.94 (2.55) *** | |
| Residential stability | -0.42 (0.09) *** | -0.59 (0.08) *** | |
| Disadvantage | 0.72 (0.11) *** | 0.16 (0.1) † | |
| Race category (Base: White) | |||
| Black | -3.61 (0.29) *** | -1.96 (0.3) *** | |
| Latino | -1.83 (0.21) *** | -1.32 (0.22) *** | |
| Mixed | -1.51 (0.19) *** | -1.28 (0.21) *** | |
| Sender effects (“Home” community effects) | |||
| Violent crime rate | -15.68 (3.2) *** | -11.97 (2.77) *** | |
| Residential stability | 0.21 (0.09) * | 0.27 (0.08) *** | |
| Disadvantage | 0.07 (0.11) | 0.09 (0.11) | |
| Race category (Base: White) | |||
| Black | 0.87 (0.28) ** | 0.86 (0.28) ** | |
| Latino | -0.22 (0.21) | 0.24 (0.2) | |
| Mixed | -0.14 (0.18) | -0.31 (0.19) | |
| Relational effects | |||
| Spatial proximity | 0.41 (0.15) ** | 1.11 (0.13) *** | |
| Transportation | 0.13 (0.03) *** | 0.03 (0.02) | |
| Dissimilarity | |||
| Violent crime rate | 2.34 (2.95) | -1.47 (2.9) | |
| Residential stability | -0.23 (0.1) * | -0.1 (0.1) | |
| Disadvantage | -0.25 (0.11) * | -0.12 (0.09) | |
| Similarity | |||
| White | -0.26 (0.25) | 0.39 (0.29) | |
| Black | -0.81 (0.29) ** | -1.54 (0.29) *** | |
| Latino | -0.32 (0.32) | -1.13 (0.33) *** | |
| Mixed | 0.36 (0.23) | 0.42 (0.24) † | |
| AIC | 3419 | 3630 | |
| BIC | 3578 | 3788 | |
Notes: Main cells represent ERGM estimates. Standard errors in parentheses. N = 77 nodes (community areas).
***
p < .001,
**
p < .01,
*
p < .05,
†
p <.10