Whether Medicaid and EITC interact to affect academic achievement is an empirical question. While they may simply operate independently, they may also be complementary. For example, improvements in cognitive skills or health due to EITC generosity—through parents’ use of refunds to enhance home environments and invest in learning—may enable children to derive greater returns to subsequent positive changes that Medicaid may engender in their home environments (e.g., see Bullinger et al., 2023). In this case, gains from Medicaid may be larger for children who have benefited from greater EITC generosity, a mechanism that aligns with “dynamic complementarity.” Additionally, the EITC refunds may facilitate healthcare utilization by helping families cover expenses associated with accessing care, such as transportation and childcare, which can enhance the effectiveness of Medicaid in improving family functioning, and in turn, child well-being.
Methods. Data come from the Early Childhood Longitudinal Study–Kindergarten Cohort 2010–2011, a nationally representative longitudinal survey following children from kindergarten through grade 5 (survey year: 2010–2016). To address endogeneity concerns, I exploit plausibly exogenous variation in parents’ access to Medicaid and exposure to EITC generosity generated by state policy changes, using a difference‑in‑difference‑in‑differences framework with child and year fixed effects. Identification relies on 1) state Medicaid expansions under the Affordable Care Act—implemented primarily in 2014—and 2) changes in refundable state EITCs, including adoption, expansion, reduction, or elimination of policies. I interact these policy changes to estimate whether the effect of Medicaid on children’s reading and math achievement varies with state EITC generosity.
Results. Similar to prior research (Bullinger et al., 2023), I find that the Medicaid expansion increases test scores, particularly reading outcomes. Future analyses will examine whether these gains are larger for children exposed to more generous EITC benefits, and potential mechanisms underlying these effects. I will further assess heterogeneity in interaction effects by child race and ethnicity and parental education, given that socioeconomically more disadvantaged populations may be more responsive to safety‑net policies.
Discussion. As recent policy changes are projected to reduce access to safety‑net benefits, including Medicaid, this study provides timely evidence on how multiple policies jointly influence children’s development, which is a key predictor of long-term socioeconomic and health trajectories. Findings may contribute to an evidence base that can inform state and local policy decisions affecting families with children.
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