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Dynamics in risk taking with a low-probability hazard

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  • Andrew Royal

    (Resources for the Future)

Abstract

The experiment reported in this paper identifies the effects of experience on revealed attitudes toward risk. Subjects in the experiment encountered an uncertain risk of experiencing a negative income shock over multiple periods and were able to purchase insurance at the start of each period. Subjects engaged in greater risk taking, insuring less frequently, when faced with the same risk over multiple periods. Subjects weighted experienced outcomes proportionately, in a manner consistent with rational Bayesian inference and contrary to the theory that individuals exhibit recency bias. On the other hand, subjects assigned a greater weight to outcomes that directly impacted their earnings compared to observed outcomes that had no effect on income. Unexplained autocorrelation across subjects’ choices suggests that inertia also plays an important role in repeated risk settings. I explore the relevance of these findings to public policy aimed at influencing market outcomes in the presence of infrequent environmental hazards.

Suggested Citation

  • Andrew Royal, 2017. "Dynamics in risk taking with a low-probability hazard," Journal of Risk and Uncertainty, Springer, vol. 55(1), pages 41-69, August.
  • Handle: RePEc:kap:jrisku:v:55:y:2017:i:1:d:10.1007_s11166-017-9263-1
    DOI: 10.1007/s11166-017-9263-1
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    1. Richard H. Thaler & Shlomo Benartzi, 2004. "Save More Tomorrow (TM): Using Behavioral Economics to Increase Employee Saving," Journal of Political Economy, University of Chicago Press, vol. 112(S1), pages 164-187, February.
    2. Matthew Rabin & Ted O'Donoghue, 1999. "Doing It Now or Later," American Economic Review, American Economic Association, vol. 89(1), pages 103-124, March.
    3. Mark Browne & Christian Knoller & Andreas Richter, 2015. "Behavioral bias and the demand for bicycle and flood insurance," Journal of Risk and Uncertainty, Springer, vol. 50(2), pages 141-160, April.
    4. Browne, Mark J & Hoyt, Robert E, 2000. "The Demand for Flood Insurance: Empirical Evidence," Journal of Risk and Uncertainty, Springer, vol. 20(3), pages 291-306, May.
    5. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    6. Cai, Jing & de Janvry, Alain & Sadoulet, Elisabeth, 2016. "Subsidy Policies with Learning from Stochastic Experiences," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt7568b09m, Department of Agricultural & Resource Economics, UC Berkeley.
    7. Steven Shavell, 2014. "A general rationale for a governmental role in the relief of large risks," Journal of Risk and Uncertainty, Springer, vol. 49(3), pages 213-234, December.
    8. Kunreuther, Howard & Slovic, Paul, 1978. "Economics, Psychology, and Protective Behavior," American Economic Review, American Economic Association, vol. 68(2), pages 64-69, May.
    9. Breman, Anna, 2011. "Give more tomorrow: Two field experiments on altruism and intertemporal choice," Journal of Public Economics, Elsevier, vol. 95(11), pages 1349-1357.
    10. Matthew Rabin, 2002. "Inference by Believers in the Law of Small Numbers," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(3), pages 775-816.
    11. Anderson, Lisa R & Holt, Charles A, 1997. "Information Cascades in the Laboratory," American Economic Review, American Economic Association, vol. 87(5), pages 847-862, December.
    12. Steven Shavell, 2014. "A General Rationale for a Governmental Role in the Relief of Large Risks," NBER Working Papers 20192, National Bureau of Economic Research, Inc.
    13. Howard Kunreuther & Mark Pauly, 2006. "Rules rather than discretion: Lessons from Hurricane Katrina," Journal of Risk and Uncertainty, Springer, vol. 33(1), pages 101-116, September.
    14. Howard Kunreuther & Mark Pauly, 2006. "Rules Rather Than Discretion: Lessons from Hurricane Katrina," NBER Working Papers 12503, National Bureau of Economic Research, Inc.
    15. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, January.
    16. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    17. Johnson, Eric J & Hershey, John & Meszaros, Jacqueline & Kunreuther, Howard, 1993. "Framing, Probability Distortions, and Insurance Decisions," Journal of Risk and Uncertainty, Springer, vol. 7(1), pages 35-51, August.
    18. Daniel Kahneman & Jack L. Knetsch & Richard H. Thaler, 1991. "Anomalies: The Endowment Effect, Loss Aversion, and Status Quo Bias," Journal of Economic Perspectives, American Economic Association, vol. 5(1), pages 193-206, Winter.
    19. Viscusi, W Kip & O'Connor, Charles J, 1984. "Adaptive Responses to Chemical Labeling: Are Workers Bayesian Decision Makers?," American Economic Review, American Economic Association, vol. 74(5), pages 942-956, December.
    20. Elena Asparouhova & Michael Hertzel & Michael Lemmon, 2009. "Inference from Streaks in Random Outcomes: Experimental Evidence on Beliefs in Regime Shifting and the Law of Small Numbers," Management Science, INFORMS, vol. 55(11), pages 1766-1782, November.
    21. Erwann O. Michel‐Kerjan & Carolyn Kousky, 2010. "Come Rain or Shine: Evidence on Flood Insurance Purchases in Florida," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 77(2), pages 369-397, June.
    22. Philip Ganderton & David Brookshire & Michael McKee & Steve Stewart & Hale Thurston, 2000. "Buying Insurance for Disaster-Type Risks: Experimental Evidence," Journal of Risk and Uncertainty, Springer, vol. 20(3), pages 271-289, May.
    23. Atreya, Ajita & Ferreira, Susana & Michel-Kerjan, Erwann, 2015. "What drives households to buy flood insurance? New evidence from Georgia," Ecological Economics, Elsevier, vol. 117(C), pages 153-161.
    24. Aric Shafran, 2011. "Self-protection against repeated low probability risks," Journal of Risk and Uncertainty, Springer, vol. 42(3), pages 263-285, June.
    25. Daniel Ellsberg, 1961. "Risk, Ambiguity, and the Savage Axioms," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 75(4), pages 643-669.
    26. Justin Gallagher, 2014. "Learning about an Infrequent Event: Evidence from Flood Insurance Take-Up in the United States," American Economic Journal: Applied Economics, American Economic Association, vol. 6(3), pages 206-233, July.
    27. Jacqueline Volkman-Wise, 2015. "Representativeness and managing catastrophe risk," Journal of Risk and Uncertainty, Springer, vol. 51(3), pages 267-290, December.
    28. Kunreuther, Howard C. & Michel-Kerjan, Erwann O., 2011. "At War with the Weather: Managing Large-Scale Risks in a New Era of Catastrophes," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262516543, December.
    29. Robert Meyer, 2012. "Failing to learn from experience about catastrophes: The case of hurricane preparedness," Journal of Risk and Uncertainty, Springer, vol. 45(1), pages 25-50, August.
    30. Bin, Okmyung & Landry, Craig E., 2013. "Changes in implicit flood risk premiums: Empirical evidence from the housing market," Journal of Environmental Economics and Management, Elsevier, vol. 65(3), pages 361-376.
    31. Susan Laury & Melayne McInnes & J. Swarthout, 2009. "Insurance decisions for low-probability losses," Journal of Risk and Uncertainty, Springer, vol. 39(1), pages 17-44, August.
    32. Lucas W. Davis, 2004. "The Effect of Health Risk on Housing Values: Evidence from a Cancer Cluster," American Economic Review, American Economic Association, vol. 94(5), pages 1693-1704, December.
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    2. Andrew Royal & Margaret Walls, 2019. "Flood Risk Perceptions and Insurance Choice: Do Decisions in the Floodplain Reflect Overoptimism?," Risk Analysis, John Wiley & Sons, vol. 39(5), pages 1088-1104, May.

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    More about this item

    Keywords

    Flood risk; Insurance; Bayesian learning; Recency bias; Inertia;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles

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