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Predicting risk selection following major changes in medicare

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  • Steven D. Pizer
  • Austin B. Frakt
  • Roger Feldman

Abstract

The Medicare Modernization Act of 2003 created several new types of private insurance plans within Medicare, starting in 2006. Some of these plan types previously did not exist in the commercial market and there was great uncertainty about their prospects. In this paper, we show that statistical models and historical data from the Medicare Current Beneficiary Survey can be used to predict the experience of new plan types with reasonable accuracy. This lays the foundation for the analysis of program modifications currently under consideration. We predict market share, risk selection, and stability for the most prominent new plan type, the stand‐alone Medicare prescription drug plan (PDP). First, we estimate a model of consumer choice across Medicare insurance plans available in the data. Next, we modify the data to include PDPs and use the model to predict the probability of enrollment for each beneficiary in each plan type. Finally, we calculate mean‐adjusted actual spending by plan type. We predict that adverse selection into PDPs will be substantial, but that enrollment and premiums will be stable. Our predictions correspond well to actual experience in 2006. Copyright © 2007 John Wiley & Sons, Ltd.

Suggested Citation

  • Steven D. Pizer & Austin B. Frakt & Roger Feldman, 2008. "Predicting risk selection following major changes in medicare," Health Economics, John Wiley & Sons, Ltd., vol. 17(4), pages 453-468, April.
  • Handle: RePEc:wly:hlthec:v:17:y:2008:i:4:p:453-468
    DOI: 10.1002/hec.1252
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    References listed on IDEAS

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    1. Mark V. Pauly & Yuhui Zeng, 2003. "Adverse Selection and the Challenges to Stand-Alone Prescription Drug Insurance," NBER Working Papers 9919, National Bureau of Economic Research, Inc.
    2. Leonardo Leiderman & Assaf Razin, 1986. "Propogation of Shocks in a High-Inflation Economy: Israel, 1980-85," NBER Working Papers 2003, National Bureau of Economic Research, Inc.
    3. Coulson, N. Edward & Stuart, Bruce, 1992. "Persistence in the use of pharmaceuticals by the elderly : Evidence from annual claims," Journal of Health Economics, Elsevier, vol. 11(3), pages 315-328, October.
    4. Gary L. Hunt, 2000. "Alternative Nested Logit Model Structures and the Special Case of Partial Degeneracy," Journal of Regional Science, Wiley Blackwell, vol. 40(1), pages 89-113, February.
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    1. Austin B. Frakt & Steven D. Pizer, 2010. "Beneficiary price sensitivity in the Medicare prescription drug plan market," Health Economics, John Wiley & Sons, Ltd., vol. 19(1), pages 88-100, January.
    2. Pizer, Steven D. & Prentice, Julia C., 2011. "Time is money: Outpatient waiting times and health insurance choices of elderly veterans in the United States," Journal of Health Economics, Elsevier, vol. 30(4), pages 626-636, July.
    3. Steven Pizer & Austin Frakt & Roger Feldman, 2009. "Nothing for something? Estimating cost and value for beneficiaries from recent medicare spending increases on HMO payments and drug benefits," International Journal of Health Economics and Management, Springer, vol. 9(1), pages 59-81, March.
    4. Austin B. Frakt & Steven D. Pizer & Roger Feldman, 2012. "Should Medicare adopt the Veterans health administration formulary?," Health Economics, John Wiley & Sons, Ltd., vol. 21(5), pages 485-495, May.
    5. Randall P. Ellis & Juan Gabriel Fernandez, 2013. "Risk Selection, Risk Adjustment and Choice: Concepts and Lessons from the Americas," IJERPH, MDPI, vol. 10(11), pages 1-34, October.
    6. Atherly Adam & van den Broek-Altenburg Eline & Feldman Roger D. & Dowd Bryan, 2020. "Switching Costs in Medicare Advantage," Forum for Health Economics & Policy, De Gruyter, vol. 23(1), pages 1-14, June.

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