Table 5:

Heterogeneity by Medicaid Status and Race

		Medicaid Status		Race
	Baseline (Large CZs)	Non-Medicaid	Medicaid	White	Non-White
(1) Number of movers	710,990	650,246	60,744	629,126	81,864
Cross-CZ standard deviation of:
(2) Life expectancy (Lj)	0.66 [0.64, 0.68]	0.63 [0.61, 0.65]	1.54 [1.49, 1.59]	0.56 [0.53, 0.58]	1.35 [1.23, 1.46]
(3) Treatment effects $\left(L_j^{\ast }-\overline{L}\right)$	0.47 [0.40, 0.53]	0.46 [0.38, 0.54]	0.72 [0.37, 1.01]	0.48 [0.41, 0.54]	0.74 [0.00, 1.17]
(4) Health capital effects	0.53 [0.44, 0.59]	0.52 [0.44, 0.63]	1.50 [1.30, 1.81]	0.52 [0.45, 0.62]	1.04 [0.72, 1.57]

Notes: This table summarizes the decompositions for the largest 100 CZs by population in 2000, estimated separately by race and Medicaid status during the year prior to the reference year. Both non-mover and mover samples are partitioned by race or Medicaid status. Sample sizes in row (1) exclude movers to or from any CZ outside of the 100 largest CZs; this leaves us with about one-third of the baseline mover sample. Row (2) shows the cross-CZ standard deviation of life expectancy at 65 among non-movers in the indicated sample. All standard deviations in rows (2), (3), and (4). are computed using the split-sample approach, giving equal weight to each CZ. Brackets show the 95% confidence intervals computed via 100 iterations of the Bayesian bootstrap. Since standard deviations cannot be negative, any split-sample approach that produces a negative result we set to 0.00.