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The effect of cancer diagnosis on switching health insurance in medicare

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  • Brett Lissenden

Abstract

Because health insurance is intended to protect patients in the event of a health shock, it is important to evaluate health insurance policy in the context of patients who experience health shocks. I measure the effect of cancer diagnosis on health insurance switching in order to compare cancer patient's preferences among private and publicly administered Medicare. I estimate that a cancer diagnosis increases the probability a patient will leave a private Medicare plan, for the public plan, by 0.8% points (41%). Similarly, a cancer diagnosis decreases the probability a patient will leave the public Medicare plan, for a private plan, by 0.5% points (16%). The implication is that private Medicare plans are relatively less attractive to cancer patients than they are to noncancer patients.

Suggested Citation

  • Brett Lissenden, 2019. "The effect of cancer diagnosis on switching health insurance in medicare," Health Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 339-349, March.
  • Handle: RePEc:wly:hlthec:v:28:y:2019:i:3:p:339-349
    DOI: 10.1002/hec.3843
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    References listed on IDEAS

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    1. Vilsa Curto & Liran Einav & Amy Finkelstein & Jonathan Levin & Jay Bhattacharya, 2019. "Health Care Spending and Utilization in Public and Private Medicare," American Economic Journal: Applied Economics, American Economic Association, vol. 11(2), pages 302-332, April.
    2. Jason Brown & Mark Duggan & Ilyana Kuziemko & William Woolston, 2014. "How Does Risk Selection Respond to Risk Adjustment? New Evidence from the Medicare Advantage Program," American Economic Review, American Economic Association, vol. 104(10), pages 3335-3364, October.
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    4. Keith M. Marzilli Ericson, 2014. "Consumer Inertia and Firm Pricing in the Medicare Part D Prescription Drug Insurance Exchange," American Economic Journal: Economic Policy, American Economic Association, vol. 6(1), pages 38-64, February.
    5. Maria Polyakova, 2016. "Regulation of Insurance with Adverse Selection and Switching Costs: Evidence from Medicare Part D," American Economic Journal: Applied Economics, American Economic Association, vol. 8(3), pages 165-195, July.
    6. Jonathan Gruber & Robin McKnight, 2016. "Controlling Health Care Costs through Limited Network Insurance Plans: Evidence from Massachusetts State Employees," American Economic Journal: Economic Policy, American Economic Association, vol. 8(2), pages 219-250, May.
    7. Benjamin R. Handel, 2013. "Adverse Selection and Inertia in Health Insurance Markets: When Nudging Hurts," American Economic Review, American Economic Association, vol. 103(7), pages 2643-2682, December.
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    Cited by:

    1. A. A. Withagen-Koster & R. C. Kleef & F. Eijkenaar, 2020. "Incorporating self-reported health measures in risk equalization through constrained regression," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(4), pages 513-528, June.
    2. Rebecca M. Myerson & Reginald D. Tucker‐Seeley & Dana P. Goldman & Darius N. Lakdawalla, 2020. "Does Medicare Coverage Improve Cancer Detection and Mortality Outcomes?," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(3), pages 577-604, June.

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