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Risk Preference Heterogeneity And Multiple Demand For Insurance

  • LI DONNI, P.

We examined the relationship between unobserved risk preferences and four insurance purchase decisions: health Medigap insurance, long-term insurance, life insurance and annuity. Standard economic theory assumes that individuals take decision over a set of risky domains according to their own risk preferences which are stable across decision contexts. This assumption of context-invariant risk preference has caused debate in the literature concerning its validity. Using data from the Health and Retirement Study, we exploit latent class analysis to identify conditional on predicted and realized risk how heterogeneity in risk preferences affects multiple insurance demand. Our results provide evidence of the existence of domain general component of risk preferences, although non-preference factors - such as context specificity - play also an important role. JEL Classi_cation Numbers G11, Keywords

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Paper provided by HEDG, c/o Department of Economics, University of York in its series Health, Econometrics and Data Group (HEDG) Working Papers with number 10/17.

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Date of creation: Jul 2010
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Handle: RePEc:yor:hectdg:10/17
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  1. Amy Finkelstein & James Poterba, 2006. "Testing for Asymmetric Information Using 'Unused Observables' in Insurance Markets: Evidence from the U.K. Annuity Market," NBER Working Papers 12112, National Bureau of Economic Research, Inc.
  2. Gourieroux,Christian & Monfort,Alain, 1995. "Statistics and Econometric Models," Cambridge Books, Cambridge University Press, number 9780521405515, November.
  3. Matthew Rabin., 2000. "Risk Aversion and Expected-Utility Theory: A Calibration Theorem," Economics Working Papers E00-279, University of California at Berkeley.
  4. 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.
  5. Robert B. Barsky & F. Thomas Juster & Miles S. Kimball & Matthew D. Shapiro, 1997. "Preference Parameters and Behavioral Heterogeneity: An Experimental Approach in the Health and Retirement Study," The Quarterly Journal of Economics, Oxford University Press, vol. 112(2), pages 537-579.
  6. Cutler, David & McGarry, Kathleen & Finkelstein, Amy, 2008. "Preference Heterogeneity and Insurance Markets: Explaining a Puzzle of Insurance," Scholarly Articles 2640581, Harvard University Department of Economics.
  7. Tomas Philipson & John Cawley, 1999. "An Empirical Examination of Information Barriers to Trade in Insurance," American Economic Review, American Economic Association, vol. 89(4), pages 827-846, September.
  8. Joachim Inkmann & Alexander Michaelides, 2012. "Can the Life Insurance Market Provide Evidence for a Bequest Motive?," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 79(3), pages 671-695, 09.
  9. Alma Cohen & Liran Einav, 2005. "Estimating Risk Preferences from Deductible Choice," Discussion Papers 04-031, Stanford Institute for Economic Policy Research.
  10. David McCarthy & Olivia S. Mitchell, 2003. "International Adverse Selection in Life Insurance and Annuities," NBER Working Papers 9975, National Bureau of Economic Research, Inc.
  11. Levon Barseghyan & Jeffrey Prince & Joshua C. Teitelbaum, 2011. "Are Risk Preferences Stable across Contexts? Evidence from Insurance Data," American Economic Review, American Economic Association, vol. 101(2), pages 591-631, April.
  12. W. Kip Viscusi, 2004. "The Value of Life: Estimates with Risks by Occupation and Industry," Economic Inquiry, Western Economic Association International, vol. 42(1), pages 29-48, January.
  13. Hanming Fang & Michael P. Keane & Dan Silverman, 2008. "Sources of Advantageous Selection: Evidence from the Medigap Insurance Market," Journal of Political Economy, University of Chicago Press, vol. 116(2), pages 303-350, 04.
  14. Guiso, Luigi & Paiella, Monica, 2004. "The Role of Risk Aversion in Predicting Individual Behaviours," CEPR Discussion Papers 4591, C.E.P.R. Discussion Papers.
  15. Bartolucci, Francesco & Forcina, Antonio, 2006. "A Class of Latent Marginal Models for CaptureRecapture Data With Continuous Covariates," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 786-794, June.
  16. 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.
  17. Liran Einav & Amy Finkelstein & Jonathan Levin, 2009. "Beyond Testing: Empirical Models of Insurance Markets," NBER Working Papers 15241, National Bureau of Economic Research, Inc.
  18. Francesco Bartolucci & Antonio Forcina, 2005. "Likelihood inference on the underlying structure of IRT models," Psychometrika, Springer;The Psychometric Society, vol. 70(1), pages 31-43, March.
  19. Amy Finkelstein & James Poterba, 2000. "Adverse Selection in Insurance Markets: Policyholder Evidence from the U.K. Annuity Market," NBER Working Papers 8045, National Bureau of Economic Research, Inc.
  20. Daniel Kahneman, 2003. "A Psychological Perspective on Economics," American Economic Review, American Economic Association, vol. 93(2), pages 162-168, May.
  21. Miles S. Kimball & Claudia R. Sahm & Matthew D. Shapiro, 2007. "Imputing Risk Tolerance from Survey Responses," NBER Working Papers 13337, National Bureau of Economic Research, Inc.
  22. Matthew Rabin & Richard H. Thaler, 2001. "Anomalies: Risk Aversion," Journal of Economic Perspectives, American Economic Association, vol. 15(1), pages 219-232, Winter.
  23. Amy Finkelstein & Kathleen McGarry, 2006. "Multiple Dimensions of Private Information: Evidence from the Long-Term Care Insurance Market," American Economic Review, American Economic Association, vol. 96(4), pages 938-958, September.
  24. Heckman, James & Singer, Burton, 1984. "A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data," Econometrica, Econometric Society, vol. 52(2), pages 271-320, March.
  25. Guan-Hua Huang & Karen Bandeen-Roche, 2004. "Building an identifiable latent class model with covariate effects on underlying and measured variables," Psychometrika, Springer;The Psychometric Society, vol. 69(1), pages 5-32, March.
  26. Alma Cohen & Peter Siegelman, 2010. "Testing for Adverse Selection in Insurance Markets," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 77(1), pages 39-84.
  27. Bruno Jullien & Bernard Salanie, 2000. "Estimating Preferences under Risk: The Case of Racetrack Bettors," Journal of Political Economy, University of Chicago Press, vol. 108(3), pages 503-530, June.
  28. Daniel Kahneman, 2003. "Maps of Bounded Rationality: Psychology for Behavioral Economics," American Economic Review, American Economic Association, vol. 93(5), pages 1449-1475, December.
  29. Charles A. Holt & Susan K. Laury, 2002. "Risk Aversion and Incentive Effects," American Economic Review, American Economic Association, vol. 92(5), pages 1644-1655, December.
  30. Kodde, David A & Palm, Franz C, 1986. "Wald Criteria for Jointly Testing Equality and Inequality Restriction s," Econometrica, Econometric Society, vol. 54(5), pages 1243-48, September.
  31. John C. Hershey & Howard C. Kunreuther & Paul J. H. Schoemaker, 1982. "Sources of Bias in Assessment Procedures for Utility Functions," Management Science, INFORMS, vol. 28(8), pages 936-954, August.
  32. Dardanoni, V & Li Donni, P, 2008. "Testing For Asymmetric Information In Insurance Markets With Unobservable Types," Health, Econometrics and Data Group (HEDG) Working Papers 08/26, HEDG, c/o Department of Economics, University of York.
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