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Impact of the Medicaid expansions on heart disease mortality in the United States: A county‐level analysis

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  • Grady King
  • Srinivas Palanki

Abstract

Despite the significant changes that the Affordable Care Act (ACA) has made to the US healthcare system since 2010, little statistical analysis of its impact on the deadliest chronic diseases has been made. County‐level data from the United States is used in conjunction with difference‐in‐difference models to isolate the effect of the Affordable Care Act on preventable deaths due to heart disease. Our national causal inference analysis found a significant decrease of preventable heart disease mortality due to the Medicaid expansions.

Suggested Citation

  • Grady King & Srinivas Palanki, 2025. "Impact of the Medicaid expansions on heart disease mortality in the United States: A county‐level analysis," Economic Affairs, Wiley Blackwell, vol. 45(1), pages 78-91, February.
    • Handle: RePEc:bla:ecaffa:v:45:y:2025:i:1:p:78-91
    DOI: 10.1111/ecaf.12685
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    References listed on IDEAS

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    2. Rupa Palanki & Siva Chamarthy & Srinivas Palanki, 2021. "Impact of the Affordable Care Act on diabetes diagnoses in the United States: A county‐level analysis," Economic Affairs, Wiley Blackwell, vol. 41(1), pages 111-122, February.
    3. Roth, Jonathan & Sant’Anna, Pedro H.C. & Bilinski, Alyssa & Poe, John, 2023. "What’s trending in difference-in-differences? A synthesis of the recent econometrics literature," Journal of Econometrics, Elsevier, vol. 235(2), pages 2218-2244.
    4. Baker, Andrew C. & Larcker, David F. & Wang, Charles C.Y., 2022. "How much should we trust staggered difference-in-differences estimates?," Journal of Financial Economics, Elsevier, vol. 144(2), pages 370-395.
    5. Sarah Miller & Norman Johnson & Laura R Wherry, 2021. "Medicaid and Mortality: New Evidence From Linked Survey and Administrative Data," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 136(3), pages 1783-1829.
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