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Testing for Asymmetric Information in Private Health Insurance

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  • Pau Olivella
  • Marcos Vera-Hernández

Abstract

We develop a test for adverse selection and use it to examine private health insurance markets. In contrast to earlier papers that consider a purely private system or a system in which private insurance supplements a public system, we focus our attention on a system where privately funded health care is substitutive of the publicly funded one. Using a model of competition among insurers, we generate predictions about the correlation between risk and the probability of taking private insurance under both symmetric information and adverse selection. These predictions constitute the basis for our adverse selection test. The theoretical model is also useful to conclude that the setting that we focus on is especially attractive to test for adverse selection. Using the British Household Panel Survey, we find evidence that adverse selection is present in this market.

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Bibliographic Info

Paper provided by Barcelona Graduate School of Economics in its series Working Papers with number 246.

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Date of creation: Jan 2006
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Handle: RePEc:bge:wpaper:246

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Related research

Keywords: Contract Theory; Testing; Health Insurance;

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References

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  1. Coulson, N Edward, et al, 1995. "Estimating the Moral-Hazard Effect of Supplemental Medical Insurance in the Demand for Prescription Drugs by the Elderly," American Economic Review, American Economic Association, vol. 85(2), pages 122-26, May.
  2. John Cawley & Tomas Philipson, 1996. "An Empirical Examination of Information Barriers to Trade in Insurance," NBER Working Papers 5669, National Bureau of Economic Research, Inc.
  3. Miguel Gouveia, 1997. "Majority rule and the public provision of a private good," Public Choice, Springer, vol. 93(3), pages 221-244, December.
  4. Jaap H. Abbring & James J. Heckman & Pierre-André Chiappori & Jean Pinquet, 2003. "Adverse Selection and Moral Hazard In Insurance: Can Dynamic Data Help to Distinguish?," Journal of the European Economic Association, MIT Press, vol. 1(2-3), pages 512-521, 04/05.
  5. Blomquist, Soren & Christiansen, Vidar, 1998. "Topping Up or Opting Out? The Optimal Design of Public Provision Schemes," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(2), pages 399-411, May.
  6. Cardon, James H & Hendel, Igal, 2001. "Asymmetric Information in Health Insurance: Evidence from the National Medical Expenditure Survey," RAND Journal of Economics, The RAND Corporation, vol. 32(3), pages 408-27, Autumn.
  7. Cameron, A C & P. K. Trivedi & Frank Milne & J. Piggott, 1988. "A Microeconometric Model of the Demand for Health Care and Health Insurance in Australia," Review of Economic Studies, Wiley Blackwell, vol. 55(1), pages 85-106, January.
  8. Lucien Gardiol & Pierre-Yves Geoffard & Chantal Grandchamp, 2003. "Separating Selection and Incentive Effects: an Econometric Study of Swiss Health Insurance Claims Data," DELTA Working Papers 2003-27, DELTA (Ecole normale supérieure).
  9. Ettner, Susan L., 1997. "Adverse selection and the purchase of Medigap insurance by the elderly," Journal of Health Economics, Elsevier, vol. 16(5), pages 543-562, October.
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Citations

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Cited by:
  1. OLIVELLA, Pau & SCHROYEN, Fred, 2011. "Multidimensional screening in a monopolistic insurance market," CORE Discussion Papers 2011056, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  2. Denise Doiron & Denzil G Fiebig & Agne Suziedelyte, 2013. "Hips and hearts: the variation in incentive effects of insurance across hospital procedures," Discussion Papers 2013-14, School of Economics, The University of New South Wales.
  3. Daniel McFadden & Carlos Noton & Pau Olivella, 2012. "Remedies for Sick Insurance," Working Papers 620, Barcelona Graduate School of Economics.
  4. Valentino Dardanoni & Paolo Li Donni, 2012. "Incentive and Selection Effects of Medigap Insurance on Inpatient Care," EIEF Working Papers Series 1203, Einaudi Institute for Economics and Finance (EIEF), revised Feb 2012.

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