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Why Do Life Insurance Policyholders Lapse? The Roles of Income, Health and Bequest Motive Shocks

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  • Hanming Fang
  • Edward Kung
Abstract
Previous research has shown that the reasons for lapsation have important implications regarding the effects of the emerging life settlement market on consumer welfare. We present and empirically implement a dynamic discrete choice model of life insurance decisions to assess the importance of various factors in explaining life insurance lapsations. In order to explain some key features in the data, our model incorporates serially correlated unobservable state variables which we deal with using posterior distributions of the unobservables simulated from Sequential Monte Carlo (SMC) method. We estimate the model using the life insurance holding information from the Health and Retirement Study (HRS) data. Counterfactual simulations using the estimates of our model suggest that a large fraction of life insurance lapsations are driven by i.i.d choice specific shocks, particularly when policyholders are relatively young. But as the remaining policyholders get older, the role of such i.i.d. shocks gets smaller, and more of their lapsations are driven either by income, health or bequest motive shocks. Income and health shocks are relatively more important than bequest motive shocks in explaining lapsations when policyholders are young, but as they age, the bequest motive shocks play a more important role. We also suggest the implications of these findings regarding the effects of the emerging life settlement market on consumer welfare.

Suggested Citation

  • Hanming Fang & Edward Kung, 2012. "Why Do Life Insurance Policyholders Lapse? The Roles of Income, Health and Bequest Motive Shocks," NBER Working Papers 17899, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:17899
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    References listed on IDEAS

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    1. Jesús Fernández-Villaverde & Juan F. Rubio-Ramírez, 2007. "Estimating Macroeconomic Models: A Likelihood Approach," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 74(4), pages 1059-1087.
    2. Jeremy T. Fox, 2007. "Semiparametric estimation of multinomial discrete-choice models using a subset of choices," RAND Journal of Economics, RAND Corporation, vol. 38(4), pages 1002-1019, December.
    3. Igal Hendel & Alessandro Lizzeri, 2003. "The Role of Commitment in Dynamic Contracts: Evidence from Life Insurance," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(1), pages 299-328.
    4. Hanming Fang & Edward Kung, 2020. "Life Insurance and Life Settlements: The Case for Health‐Contingent Cash Surrender Values," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 87(1), pages 7-39, March.
    5. Jason R. Blevins, 2016. "Sequential Monte Carlo Methods for Estimating Dynamic Microeconomic Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(5), pages 773-804, August.
    6. Fang, Hanming & Wu, Zenan, 2020. "Life insurance and life settlement markets with overconfident policyholders," Journal of Economic Theory, Elsevier, vol. 189(C).
    7. Keane, Michael P & Wolpin, Kenneth I, 1994. "The Solution and Estimation of Discrete Choice Dynamic Programming Models by Simulation and Interpolation: Monte Carlo Evidence," The Review of Economics and Statistics, MIT Press, vol. 76(4), pages 648-672, November.
    8. 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.
    9. Hanming Fang & Edward Kung, 2010. "How Does Life Settlement Affect the Primary Life Insurance Market?," PIER Working Paper Archive 10-006, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    10. Hiroyuki Kasahara & Katsumi Shimotsu, 2009. "Nonparametric Identification of Finite Mixture Models of Dynamic Discrete Choices," Econometrica, Econometric Society, vol. 77(1), pages 135-175, January.
    11. 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.
    12. Hu, Yingyao & Shum, Matthew, 2012. "Nonparametric identification of dynamic models with unobserved state variables," Journal of Econometrics, Elsevier, vol. 171(1), pages 32-44.
    13. He, Daifeng, 2009. "The life insurance market: Asymmetric information revisited," Journal of Public Economics, Elsevier, vol. 93(9-10), pages 1090-1097, October.
    14. Stephen Fier & Andre Liebenberg, 2013. "Life Insurance Lapse Behavior," North American Actuarial Journal, Taylor & Francis Journals, vol. 17(2), pages 153-167.
    15. Olsson, Jimmy & Rydén, Tobias, 2008. "Asymptotic properties of particle filter-based maximum likelihood estimators for state space models," Stochastic Processes and their Applications, Elsevier, vol. 118(4), pages 649-680, April.
    16. Gallant, A. Ronald & Hong, Han & Khwaja, Ahmed, 2018. "A Bayesian approach to estimation of dynamic models with small and large number of heterogeneous players and latent serially correlated states," Journal of Econometrics, Elsevier, vol. 203(1), pages 19-32.
    17. Glenn Daily & Igal Hendel & Alessandro Lizzeri, 2008. "Does the Secondary Life Insurance Market Threaten Dynamic Insurance?," American Economic Review, American Economic Association, vol. 98(2), pages 151-156, May.
    18. Andriy Norets, 2009. "Inference in Dynamic Discrete Choice Models With Serially orrelated Unobserved State Variables," Econometrica, Econometric Society, vol. 77(5), pages 1665-1682, September.
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    More about this item

    JEL classification:

    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • H31 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - Household
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms

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