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Recent Trends in the Probability of High Out-of- Pocket Medical Expenses in the US

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  • Katherine Baird

Abstract

Objective: This paper measures large out-of-pocket expenses by health condition, income, and elderly status, and estimates changes in them between 2010 and 2013. Data Source: The paper uses nationally-representative household survey data. Study Design: Logistic regression estimates the probabilities of high expenses by demographic groups in the two study years. Households have large out-of-pocket expenses when these exceed 5% or alternatively 10% of income. Data Collection/Abstraction Method: The study uses 99.5% of the 344,000 individuals in the two samples. Principle Findings: Despite favorable conditions, the large numbers of Americans exposed to high out-of-pocket expenditures has not declined much. Conclusions: The magnitude of financial risk and trends in them underscore the need to monitor the ACA’s success in reducing Americans’ exposure to large medical bills.

Suggested Citation

  • Katherine Baird, 2016. "Recent Trends in the Probability of High Out-of- Pocket Medical Expenses in the US," LIS Working papers 675, LIS Cross-National Data Center in Luxembourg.
    • Handle: RePEc:lis:liswps:675
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    References listed on IDEAS

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    1. Amitabh Chandra & Jonathan Gruber & Robin McKnight, 2010. "Patient Cost-Sharing and Hospitalization Offsets in the Elderly," American Economic Review, American Economic Association, vol. 100(1), pages 193-213, March.
    2. Law, Michael R. & Daw, Jamie R. & Cheng, Lucy & Morgan, Steven G., 2013. "Growth in private payments for health care by Canadian households," Health Policy, Elsevier, vol. 110(2), pages 141-146.
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    Cited by:

    1. Ilan Kwon & Oejin Shin & Sojung Park & Goeun Kwon, 2019. "Multi-Morbid Health Profiles and Specialty Healthcare Service Use: A Moderating Role of Poverty," IJERPH, MDPI, vol. 16(11), pages 1-14, June.

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