Table 4. Average treatment estimates across sites for 1997 MTO locations, by neighborhood characteristics.
| City-specific external dataa | Economic disadvantageb | Violent crime rates | Collective efficacy | All indicatorsc | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
|
| |||||||||||
| Exp vs. control | Sec8 vs. control | Exp vs. control | Sec8 vs. control | Exp vs. control | Sec8 vs. control | Exp vs. control | Sec8 vs. control | Treatment groups combined | Exp vs. control | Sec8 vs. control | |
|
|
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| Baltimore | 0.27 | 0.10 | -0.66 | -0.37 | -0.40 | -0.11 | 0.32 | 0.44 | 0.19 | ||
| Boston | 0.08 | 0.08 | -0.39 | -0.25 | -0.18 | -0.21 | 0.25 | 0.20 | 0.20 | 0.22 | 0.18 |
| Chicago | 0.14 | 0.01 | -0.64 | -0.74 | -0.30 | -0.13 | 0.46 | 0.05 | 0.31 | 0.36 | 0.29 |
| Los Angeles | 0.49 | 0.38 | -0.96 | -0.74 | -0.68 | -0.74 | 0.67 | 0.71 | 0.62 | ||
| New York | 0.39 | 0.18 | -0.58 | -0.26 | -0.70 | -0.46 | 0.77 | 0.34 | 0.46 | 0.56 | 0.30 |
To calculate average treatment effects for city-specific external data, we assigned a negative value for neighborhood indicators that got worse (e.g., dirty streets) and took the absolute value of other treatment effects—thus creating a summary measure in which higher values indicate better neighborhood conditions
Economic disadvantage: poverty, % persons 25 years+ with less than high school degree, unemployment
Absolute value of all of the listed indicators combined, average of averages