Appendix Table A5.
Logistic Regression Sensitivity Anlysis Using a H~ ≤ 0.20 Threshold to Define Integration
| Odds Ratio | 95% CI | |
|---|---|---|
|
| ||
| Location type (ref: Nonmetro not adjacent to metro) | ||
| Central City | 0.18 | (0.10, 0.32) |
| Suburb in large metro | 1.99 | (1.50, 2.64) |
| Suburb in small-med metro | 1.83 | (1.40, 2.38) |
| Nonmetro adjacent to metro | 1.10 | (0.83, 1.46) |
|
| ||
| Place race and ethnic | ||
| composition (25% criterion) Black (5%) | 0.52 | (0.39, 0.69) |
| Asian (2%) | 4.05 | (3.16, 5.18) |
| Latinx (6%) | 1.47 | (1.15, 1.88) |
| Native American (2%) | 3.04 | (2.15, 4.31) |
|
| ||
| Region (ref: South) | ||
| North | 1.74 | (0.72, 4.23) |
| Midwest | 2.16 | (0.87, 5.37) |
| West | 3.23 | (1.84, 5.70) |
|
| ||
| Race by Region (ref: South) | ||
| Black | ||
| North | 1.74 | (0.94, 3.21) |
| Midwest | 2.32 | (1.12, 4.81) |
| West | 1.66 | (1.07, 2.60) |
| Latinx | ||
| North | 0.40 | (0.21, 0.74) |
| Midwest | 0.53 | (0.27, 1.03) |
| West | 0.54 | (0.33, 0.88) |
| Asian | ||
| North | 1.01 | (0.54, 1.91) |
| Midwest | 0.40 | (0.22, 0.71) |
| West | 0.53 | (0.37, 0.76) |
| Native | ||
| North | 0.34 | (0.02, >100) |
| Midwest | 0.09 | (0.02, 0.39) |
| West | 0.29 | (0.18, 0.47) |
|
| ||
| Employment hub | ||
| Military | 2.83 | (2.15, 3.74) |
| University | 2.00 | (1.39, 2.86) |
| Public sector | 1.50 | (1.19, 1.88) |
|
| ||
| Percent variablesa | ||
| Foreign-born | 1.20 | (1.11, 1.29) |
| Renters' share | 0.97 | (0.92, 1.01) |
| New housing stock | 1.11 | (1.06, 1.16) |
| Spatially lagged rate of integration | 21.66 | (15.70, 29.90) |
a.
Percentage variables were scaled to units of 10 percentage-points for easier interpretation of effect sizes. For example, a 10 percentage-point increase in foreign-born population associates with an odds ratio of 1.20.