Table 2.
Continuity-based RD analysis: effect of redlining on grandchildren’s average household wealth using covariate-adjusted local polynomial regression
N = 173 | RD estimator ($) | MSE-optimal bandwidth [meters] | Robust inference |
CER-optimal bandwidth [meters] | Nl | Nr | ||
---|---|---|---|---|---|---|---|---|
95% CIrbc | SE | p-value | ||||||
Outcome: Wealth (mean) | ||||||||
Model 1a | − 96,104 | 828.83 | [− 243,710, – 23,539] | 56,167 | 0.017** | 685.95 | 19 | 90 |
Model 2a | − 105,199 | 807.05 | [− 285,228, – 3432] | 71,888 | 0.045** | 667.93 | 19 | 86 |
Model 3a | − 95,124 | 984.23 | [− 260,168, – 23,875] | 60,280 | 0.018** | 814.56 | 22 | 94 |
Model 4a | − 35,419 | 399.49 | [− 37,423, – 7615] | 7604 | 0.003*** | 331.79 | 7 | 65 |
Discrete analysis using cluster standard errors; bandwidth is the distance (in meters) from yellow/red border to grandparent’s census block; adjusted models: 2a — age, year; 3a — age, year, gender; 4a — 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; wealth is rounded to the nearest whole dollar.
p < 0.10;
p < 0.05;
p < 0.01