Table 3.
Continuity-based RD analysis: effect of redlining on the mean BMI in third-generation adults using covariate-adjusted local polynomial regression
N = 210 | RD estimator (kg/m2) | MSE-optimal bandwidth [meters] | Robust inference |
Nl | Nr | |||
---|---|---|---|---|---|---|---|---|
95% CIrbc | SE | p-value | CER-optimal bandwidth [meters] | |||||
Outcome: Body Mass Index (mean) | ||||||||
Model 1b | 5.16 | 290.89 | [− 2.54, 9.81] | 3.15 | 0.249 | 239.21 | 11 | 69 |
Model 2b | 5.37 | 314.26 | [− 2.29, 10.73] | 3.32 | 0.204 | 258.43 | 11 | 69 |
Model 3b | 5.92 | 405.77 | [− 2.08, 13.86] | 4.07 | 0.148 | 333.68 | 13 | 86 |
Model 4b | 7.46 | 374.44 | [− 4.00, 16.60] | 5.26 | 0.231 | 308.87 | 10 | 78 |
Discrete analysis using cluster standard errors; bandwidth is the distance (in meters) from yellow/red border to grandparent’s census block; adjusted models: 2b — age, year; 3b — age, year, gender; 4b — age, year, gender, race; all models use a first-degree polynomial; Nl (left) and Nr (right) indicate the effective number of observations within the MSE bandwidth used for estimation
p < 0.10;
p < 0.05;
p < 0.01