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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 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