2019
DOI: 10.2139/ssrn.3445818
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Did the ACA Medicaid Expansion Save Lives?

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Cited by 16 publications
(20 citation statements)
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“…3 A small number of recent studies use population-level mortality data to estimate changes in adult mortality in expansion states compared to non-expansion states. These studies reach very different conclusions, either unable to detect mortality effects (Black et al, 2019) or estimating varying sized reductions in adult mortality: 3.6 percent among adults ages 20-64 (Borgschulte and Vogler, 2020) and 1.2 percent among adults ages 55-64 (Chen, 2019). Yan et al (2020) find no reduction in all-cause mortality among adults ages 20-64, but a 2.7 percent decrease in health care amenable mortality.…”
Section: Introductionmentioning
confidence: 96%
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“…3 A small number of recent studies use population-level mortality data to estimate changes in adult mortality in expansion states compared to non-expansion states. These studies reach very different conclusions, either unable to detect mortality effects (Black et al, 2019) or estimating varying sized reductions in adult mortality: 3.6 percent among adults ages 20-64 (Borgschulte and Vogler, 2020) and 1.2 percent among adults ages 55-64 (Chen, 2019). Yan et al (2020) find no reduction in all-cause mortality among adults ages 20-64, but a 2.7 percent decrease in health care amenable mortality.…”
Section: Introductionmentioning
confidence: 96%
“…Meanwhile, analyses of mortality data rely on death records aggregated to the state-or county-level, without information on individual-level factors that determine eligibility such as income (e.g. Borgschulte and Vogler, 2020;Chen, 2019;Khatana et al, 2019;Swaminathan et al, 2018;Yan et al, 2020). Without information on these relevant individuallevel characteristics, these studies may be underpowered to reliably detect mortality effects of the ACA (Allen and Sommers, 2019), and may in fact vastly overstate magnitudes (Black et al, 2019).…”
Section: Introductionmentioning
confidence: 99%
“…3 The issue is also disputed among policymakers, some of whom have expressed skepticism about whether health insurance reduces mortality (Phillips, 2017). reduce adult mortality in certain contexts (Card, Dobkin and Maestas, 2009;Sommers, Baicker and Epstein, 2012;Sommers, Long and Baicker, 2014;Swaminathan et al, 2018;Khatana et al, 2019;Borgschulte and Vogler, 2019;Miller et al, 2019), 4 but the results that emerge from these studies rely on unveriable and sometimes controversial assumptions (Levy and Meltzer, 2008;Woolhandler and Himmelstein, 2017;Black et al, 2019).…”
mentioning
confidence: 99%
“…coverage: P r (C i (1) = 0) < P r (C i (0) = 0) and for each m ∈ {1, 2, ...12}, either P r (C i (1) = m) > P r (C i (0) = m) or else the dierence is not statistically signicant.35 On this point, we refer readers to the discussion and literature review inBorgschulte and Vogler (2019), who argue that such spillover eects may explain why studies in this literature tend to observe very large eects of coverage among the treated.…”
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confidence: 99%
“…Many states have increased coverage in recent years and a growing literature has shown the importance of Medicaid expansions on several outcomes. The literature finds that the Medicaid expansions change health care access (e.g., Courtemanche et al., 2019; Garthwaite et al., 2019; Huh, 2021) and decrease mortality (e.g., Borgschulte & Vogler, 2020; Miller et al., 2019). In addition, the literature documents positive externalities of the Medicaid expansions on non‐health related outcomes, such as financial well‐being (e.g., Miller et al., 2018), crime (e.g., He & Barkowski, 2020; Vogler, 2020), and child support (e.g., Bullinger, 2021).…”
Section: Introductionmentioning
confidence: 99%