Table 4.

Impact of the ACA Parental Income Eligibility Expansion on Impact of the ACA Medicaid Expansion on Health Outcomes in Low-Income Households (<138% FPL)

A. Parent Health	Overall Health
	(1)	(2)
Expansion	0.063*** (0.018)	0.062*** (0.017)
Mean of DV	0.839	0.839
Time Varying State Covariates	No	Yes
Observationsa	5,240	5,240
R-squared (within-child)	0.005	0.006
Wild Cluster Bootstrap p-value	0.055	0.029
B. Child Health Utilization	Doctor Visits
	(1)	(2)
Expansion	−0.025 (0.018)	−0.010 (0.020)
Mean of DV	0.94	0.94
Time Varying State Covariates	No	Yes
Observationsa	5,390	5,390
R-squared (within-child)	0.010	0.013
Wild Cluster Bootstrap p-value	0.807	0.812
C. Child Health	Overall Health		BMI
	(1)	(2)	(1)	(2)
Expansion	−0.002 (0.009)	0.007 (0.009)	−0.444* (0.183)	−0.486* (0.192)
Mean of DV	0.95	0.95	16.91	16.91
Time Varying State Covariates	No	Yes	No	Yes
Observationsa	7,430	7,430	8,140	8,140
R-squared (within-child)	0.002	0.002	0.458	0.459
Wild Cluster Bootstrap p-value	0.817	0.631	0.048	0.066

Notes: Each column of each panel corresponds to a different OLS regression model. Each model includes wave and child fixed effects and sampling weights. Expansion represents β from equation (2), as shown in appendix, and measures the average effect of the Medicaid expansions after it took place. Mean of each dependent variable (DV) provides the within-child average of the DV after controlling for just wave fixed effects. Heteroscedasticity-robust standard errors, in parentheses, are clustered at the state level.

^aSample sizes (in child-years) are rounded to the nearest 10 as per dataset guidelines.

^*p < 0.05,

^**p < 0.01,

^***p < 0.001. We also report wild cluster bootstrapped p-values in the last row within each panel created using “boottest” command in STATA with 1,000 replications, which provides more conservative standard errors for inference in Table 4 (Cameron & Miller, 2008; 2015).