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. Author manuscript; available in PMC: 2025 Jul 10.
Published in final edited form as: J Racial Ethn Health Disparities. 2024 Jun 7;12(4):2232–2252. doi: 10.1007/s40615-024-02044-7

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