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Effects of losing public health insurance on preventative care, health, and emergency department use: Evidence from the TennCare disenrollment

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  • Daniel Sebastian Tello‐Trillo

Abstract

This paper studies the effect of losing public health insurance eligibility on preventative care, self‐reported health, and emergency department use. I exploit the 2005 TennCare disenrollment in which 190,000 residents–mainly non‐elderly childless adults–lost public health insurance eligibility due to budget cuts. I use two surveys, the Behavioral Factor Surveillance System and the National Health Interview Survey, in a difference‐in‐difference methodology to study the effects of the reform. I find that the reform lead to a 4%–5% reduction in reporting having mammograms and breast exams. An increase of 20% in number of days with health incapacitation and no strong evidence of changes of emergency department visits (nor number of visits). I document margins of heterogeneity of the effects across demographic characteristics. Finally, I explore the margins of symmetry between gaining and losing public insurance by comparing estimates to those from the Affordable Care Act Medicaid Expansions.

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  • Daniel Sebastian Tello‐Trillo, 2021. "Effects of losing public health insurance on preventative care, health, and emergency department use: Evidence from the TennCare disenrollment," Southern Economic Journal, John Wiley & Sons, vol. 88(1), pages 322-366, July.
  • Handle: RePEc:wly:soecon:v:88:y:2021:i:1:p:322-366
    DOI: 10.1002/soej.12504
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    Cited by:

    1. Maclean, Johanna Catherine & Tello-Trillo, Sebastian & Webber, Douglas, 2023. "Losing insurance and psychiatric hospitalizations," Journal of Economic Behavior & Organization, Elsevier, vol. 205(C), pages 508-527.
    2. Lindsey Rose Bullinger & Sebastian Tello-Trillo, 2021. "Connecting Medicaid and child support: evidence from the TennCare disenrollment," Review of Economics of the Household, Springer, vol. 19(3), pages 785-812, September.
    3. Viviano, Davide & Bradic, Jelena, 2023. "Synthetic Learner: Model-free inference on treatments over time," Journal of Econometrics, Elsevier, vol. 234(2), pages 691-713.

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