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Adverse Selection and the Challenges to Stand-Alone Prescription Drug Insurance

Author

Listed:
  • Pauly Mark V.

    (University of Pennsylvania and NBER)

  • Zeng Yuhui

    (University of Pennsylvania)

Abstract

This paper investigates a possible predictor of adverse selection problems in unsubsidized stand-alone prescription drug insurance: the persistence of an individual's high spending over multiple years. Using Medstat claims data and data from the Medicare Survey of Current Beneficiaries, we find that persistence is much higher for outpatient drug expenses than for other categories of medical expenses. We then use these estimates to develop a simple and intuitive model of adverse selection in competitive insurance markets and show that this high relative persistence makes it unlikely that unsubsidized drug insurance can be offered for sale, even with premiums partially risk adjusted, without a probable adverse selection death spiral. We show that this outcome can be avoided if drug coverage is bundled with other coverage, and we briefly discuss the need either for comprehensive coverage or generous subsidies if adverse selection is to be avoided in private and Medicare insurance markets.

Suggested Citation

  • Pauly Mark V. & Zeng Yuhui, 2004. "Adverse Selection and the Challenges to Stand-Alone Prescription Drug Insurance," Forum for Health Economics & Policy, De Gruyter, vol. 7(1), pages 1-22, January.
  • Handle: RePEc:bpj:fhecpo:v:7:y:2004:n:3
    DOI: 10.2202/1558-9544.1051
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    Citations

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    Cited by:

    1. Kurt Lavetti & Kosali Simon, 2018. "Strategic Formulary Design in Medicare Part D Plans," American Economic Journal: Economic Policy, American Economic Association, vol. 10(3), pages 154-192, August.
    2. Paul Grootendorst, 2012. "Prescription Drug Insurance and Reimbursement," Chapters, in: Andrew M. Jones (ed.), The Elgar Companion to Health Economics, Second Edition, chapter 11, Edward Elgar Publishing.
    3. Jonathan D. Ketcham & Claudio Lucarelli & Eugenio J. Miravete & M. Christopher Roebuck, 2012. "Sinking, Swimming, or Learning to Swim in Medicare Part D," American Economic Review, American Economic Association, vol. 102(6), pages 2639-2673, October.
    4. FUKAI Taiyo & ICHIMURA Hidehiko & KANAZAWA Kyogo, 2018. "Quantifying Health Shocks over the Life Cycle," Discussion papers 18014, Research Institute of Economy, Trade and Industry (RIETI).
    5. Hua Chen & Xiaobo Peng & Menghan Shen, 2021. "Concentration and Persistence of Healthcare Spending: Evidence from China," Sustainability, MDPI, vol. 13(11), pages 1-17, May.
    6. Heiss, Florian & Leive, Adam & McFadden, Daniel & Winter, Joachim, 2013. "Plan selection in Medicare Part D: Evidence from administrative data," Journal of Health Economics, Elsevier, vol. 32(6), pages 1325-1344.
    7. Dana P. Goldman & Geoffrey F. Joyce & William B. Vogt, 2011. "Part D Formulary and Benefit Design as a Risk-Steering Mechanism," American Economic Review, American Economic Association, vol. 101(3), pages 382-386, May.
    8. Murat K. Munkin & Pravin K. Trivedi, 2010. "Disentangling incentives effects of insurance coverage from adverse selection in the case of drug expenditure: a finite mixture approach," Health Economics, John Wiley & Sons, Ltd., vol. 19(9), pages 1093-1108, September.
    9. Islam, Md Rafiqul & Liu, Shaowu & Biddle, Rhys & Razzak, Imran & Wang, Xianzhi & Tilocca, Peter & Xu, Guandong, 2021. "Discovering dynamic adverse behavior of policyholders in the life insurance industry," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    10. Mark Pauly, 2012. "Wussinomics: the state of competitive efficiency in private health insurance," International Journal of Health Economics and Management, Springer, vol. 12(3), pages 235-245, September.
    11. Florian Heiss & Daniel McFadden & Joachim Winter, 2009. "Regulation of private health insurance markets: Lessons from enrollment, plan type choice, and adverse selection in Medicare Part D," NBER Working Papers 15392, National Bureau of Economic Research, Inc.
    12. Carey, Colleen, 2021. "Sharing the burden of subsidization: Evidence on pass-through from a subsidy revision in Medicare Part D," Journal of Public Economics, Elsevier, vol. 198(C).
    13. Colleen Carey, 2017. "Technological Change and Risk Adjustment: Benefit Design Incentives in Medicare Part D," American Economic Journal: Economic Policy, American Economic Association, vol. 9(1), pages 38-73, February.
    14. Sinaiko, Anna D. & Hirth, Richard A., 2011. "Consumers, health insurance and dominated choices," Journal of Health Economics, Elsevier, vol. 30(2), pages 450-457, March.
    15. Tomas Pedro Sanguinetti, 2019. "How Do Couples Choose Individual Insurance Plans? Evidence from Medicare Part D," 2019 Papers psa1760, Job Market Papers.
    16. Gerry, Christopher J. & Kaneva, Maria & Zasimova, Liudmila, 2017. "Reforming voluntary drug insurance in Russian healthcare: does social solidarity matter?," Health Policy, Elsevier, vol. 121(11), pages 1177-1185.
    17. Melissa Boyle, 2008. "Costs and Benefits of Elderly Prescription Drug Coverage: Evidence from Veterans’ Health Care," Working Papers 0803, College of the Holy Cross, Department of Economics.
    18. Qian Li & Pravin K. Trivedi, 2016. "Adverse and Advantageous Selection in the Medicare Supplemental Market: A Bayesian Analysis of Prescription drug Expenditure," Health Economics, John Wiley & Sons, Ltd., vol. 25(2), pages 192-211, February.

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