Table 2:

Inputs to Selection Correction

	Standard Deviation
Origin Components:
Observed health $\left(h_{j(i)}^{\mathit{\text{orig}}}\right)$	0.037 [0.036, 0.037]
Unobserved health $\left({\eta }_{j(i)}^{\mathit{\text{orig}}}\right)$	0.061 [0.058, 0.064]
Destination Components:
Observed health $\left(h_{j(i)}^{\mathit{\text{dest}}}\right)$	0.024 [0.024, 0.025]
Unobserved health $\left({\eta }_{j(i)}^{\mathit{\text{dest}}}\right)$, inferred based on Corollary 1	0.040 [0.037, 0.043]

Notes: Standard deviations are computed using the split-sample approach, and are weighted by the number of movers with each CZ as their destination. Confidence intervals are computed using 100 replications of the Bayesian bootstrap.