2016
DOI: 10.7249/rr1736
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The Effect of the 2014 Medicaid Expansion on Insurance Coverage for Newly Eligible Childless Adults

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Cited by 9 publications
(16 citation statements)
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“…Given the complex survey design of the BRFSS, models are generally estimated using survey design estimation methods. However, considering that Medicaid expansion decisions were made at the state level, a good case can be made that error terms are likely to be more strongly correlated within states across time periods (Dworsky & Eibner, 2016). Accordingly, cases were weighted by BRFSS final survey weights and standard errors of all coefficient estimates were adjusted for clustering within states.…”
Section: Difference-in-differences Model Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…Given the complex survey design of the BRFSS, models are generally estimated using survey design estimation methods. However, considering that Medicaid expansion decisions were made at the state level, a good case can be made that error terms are likely to be more strongly correlated within states across time periods (Dworsky & Eibner, 2016). Accordingly, cases were weighted by BRFSS final survey weights and standard errors of all coefficient estimates were adjusted for clustering within states.…”
Section: Difference-in-differences Model Resultsmentioning
confidence: 99%
“…Accordingly, cases were weighted by BRFSS final survey weights and standard errors of all coefficient estimates were adjusted for clustering within states. This approach should produce more conservative inferences relative to inferences using the BRFSS design variables since survey strata are nested within states (Dworsky & Eibner, 2016). Although separate DD models were estimated for each racial/ethnic subgroup, estimation information from all subgroups was pooled together using the Stata seemingly unrelated estimation procedure, suest.…”
Section: Difference-in-differences Model Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Expanded eligibility is having a disproportionately positive impact on adult men compared to women because men have historically been less often Medicaid-eligible [1]. Indeed, Medicaid expansion states are experiencing post-ACA gains in insurance coverage among newly eligible childless men [3]. For example, in the setting of expanded Medicaid eligibility, the probability of insurance coverage among men increased by 14.2 percentage points [3].…”
Section: Introductionmentioning
confidence: 99%
“…Indeed, Medicaid expansion states are experiencing post-ACA gains in insurance coverage among newly eligible childless men [3]. For example, in the setting of expanded Medicaid eligibility, the probability of insurance coverage among men increased by 14.2 percentage points [3]. Furthermore, coverage gains are most pronounced among racial/ethnic minority men (e.g., non-Hispanic Blacks or African Americans)-populations with well-documented racial disparities in conditions amenable to treatment upon early detection [4,5].…”
Section: Introductionmentioning
confidence: 99%