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Personalized information and willingness to pay for non-financial risk prevention: An experiment

Author

Listed:
  • Yves Arrighi

    (Univ. Lille, CNRS, IESEG School of Management, UMR 9221 - LEM - Lille Économie Management)

  • David Crainich

    (Univ. Lille, CNRS, IESEG School of Management, UMR 9221 - LEM - Lille Économie Management)

  • Véronique Flambard

    (Univ. Lille, CNRS, IESEG School of Management, UMR 9221 - LEM - Lille Économie Management
    FGES, Université Catholique de Lille)

  • Sophie Massin

    (Univ. Lille, CNRS, IESEG School of Management, UMR 9221 - LEM - Lille Économie Management
    Univ. Artois)

Abstract

When receiving personalized rather than population-based information, agents improve their knowledge about their probability of experiencing adverse events (e.g. health shocks). Being revealed as high or low risk, they may revise their willingness to pay (WTP) for prevention programs. If the WTP changes of the high- and low-risk individuals go in opposite directions, the overall impact on the WTP for prevention depends on whether the relationship between WTP and the initial probability of damage is convex or concave. We address this question in a laboratory experiment. Participants received an endowment and were exposed to a non-financial damage—consisting in electrical shocks—with a certain probability. We elicit subjects’ WTP for self-protection and self-insurance, i.e. actions reducing respectively the probability and the number of shocks, using the Becker-DeGroot-Marschak mechanism. Our results suggest that WTP for self-protection is insensitive to the baseline probability to undergo pain, but reveal that WTP for self-insurance increases at a decreasing rate with this probability. This implies that the diffusion of personalized information should reduce the demand for self-insurance programs.

Suggested Citation

  • Yves Arrighi & David Crainich & Véronique Flambard & Sophie Massin, 2022. "Personalized information and willingness to pay for non-financial risk prevention: An experiment," Journal of Risk and Uncertainty, Springer, vol. 65(1), pages 57-82, August.
  • Handle: RePEc:kap:jrisku:v:65:y:2022:i:1:d:10.1007_s11166-022-09384-x
    DOI: 10.1007/s11166-022-09384-x
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    1. Bleichrodt, Han & Crainich, David & Eeckhoudt, Louis, 2003. "Comorbidities and the willingness to pay for health improvements," Journal of Public Economics, Elsevier, vol. 87(11), pages 2399-2406, October.
    2. Kaïs Dachraoui & Georges Dionne & Louis Eeckhoudt & Philippe Godfroid, 2004. "Comparative Mixed Risk Aversion: Definition and Application to Self-Protection and Willingness to Pay," Journal of Risk and Uncertainty, Springer, vol. 29(3), pages 261-276, December.
    3. repec:zbw:rwirep:0321 is not listed on IDEAS
    4. Levy, Moshe & Nir, Adi Rizansky, 2012. "The utility of health and wealth," Journal of Health Economics, Elsevier, vol. 31(2), pages 379-392.
    5. Attema, Arthur E. & l’Haridon, Olivier & van de Kuilen, Gijs, 2019. "Measuring multivariate risk preferences in the health domain," Journal of Health Economics, Elsevier, vol. 64(C), pages 15-24.
    6. Hilbe,Joseph M., 2014. "Modeling Count Data," Cambridge Books, Cambridge University Press, number 9781107028333, October.
    7. David Crainich & Louis Eeckhoudt, 2017. "Average willingness to pay for disease prevention with personalized health information," Journal of Risk and Uncertainty, Springer, vol. 55(1), pages 29-39, August.
    8. Hsee, Christopher K., 1996. "The Evaluability Hypothesis: An Explanation for Preference Reversals between Joint and Separate Evaluations of Alternatives," Organizational Behavior and Human Decision Processes, Elsevier, vol. 67(3), pages 247-257, September.
    9. An, Mark Y. & Roberto Ayala, 1995. "A Mixture Model of Willingness to Pay Distributions," Working Papers 95-21, Duke University, Department of Economics.
    10. Dorte Gyrd‐Hansen, 2017. "A Stated Preference Approach to Assess whether Health Status Impacts on Marginal Utility of Consumption," Health Economics, John Wiley & Sons, Ltd., vol. 26(10), pages 1224-1233, October.
    11. Ben Seymour & John P. O'Doherty & Peter Dayan & Martin Koltzenburg & Anthony K. Jones & Raymond J. Dolan & Karl J. Friston & Richard S. Frackowiak, 2004. "Temporal difference models describe higher-order learning in humans," Nature, Nature, vol. 429(6992), pages 664-667, June.
    12. Sven Tengstam, 2014. "Disability And Marginal Utility Of Income: Evidence From Hypothetical Choices," Health Economics, John Wiley & Sons, Ltd., vol. 23(3), pages 268-282, March.
    13. W. Kip Viscusi, 2019. "Utility functions for mild and severe health risks," Journal of Risk and Uncertainty, Springer, vol. 58(2), pages 143-166, June.
    14. An, Mark Yuying, 1996. "Semiparametric Estimation of Willingness to Pay Distributions," Working Papers 96-20, Duke University, Department of Economics.
    15. Quiggin, John C., 1981. "Risk Perception And The Analysis Of Risk Attitudes," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 25(2), pages 1-10, August.
    16. Mayrhofer, Thomas & Krieger, Miriam, 2012. "Patient Preferences and Treatment Thresholds under Diagnostic Risk: An Economic Laboratory Experiment," VfS Annual Conference 2012 (Goettingen): New Approaches and Challenges for the Labor Market of the 21st Century 62033, Verein für Socialpolitik / German Economic Association.
    17. Samuel M Hartzmark & Samuel D Hirshman & Alex Imas, 2021. "Ownership, Learning, and Beliefs," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 136(3), pages 1665-1717.
    18. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-333, March.
    19. Ehrlich, Isaac & Becker, Gary S, 1972. "Market Insurance, Self-Insurance, and Self-Protection," Journal of Political Economy, University of Chicago Press, vol. 80(4), pages 623-648, July-Aug..
    20. Mohammed Abdellaoui & Olivier L’Haridon & Horst Zank, 2010. "Separating curvature and elevation: A parametric probability weighting function," Journal of Risk and Uncertainty, Springer, vol. 41(1), pages 39-65, August.
    21. Katherine Carman & Peter Kooreman, 2014. "Probability perceptions and preventive health care," Journal of Risk and Uncertainty, Springer, vol. 49(1), pages 43-71, August.
    22. Whynes, David K. & Frew, Emma & Wolstenholme, Jane L., 2003. "A comparison of two methods for eliciting contingent valuations of colorectal cancer screening," Journal of Health Economics, Elsevier, vol. 22(4), pages 555-574, July.
    23. Pratt, John W & Zeckhauser, Richard J, 1996. "Willingness to Pay and the Distribution of Risk and Wealth," Journal of Political Economy, University of Chicago Press, vol. 104(4), pages 747-763, August.
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    More about this item

    Keywords

    Willingness to pay; Experiment; Prevention; Personalized information;
    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
    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

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