IDEAS home Printed from https://ideas.repec.org/a/kap/jrisku/v65y2022i1d10.1007_s11166-022-09384-x.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11166-022-09384-x
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11166-022-09384-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Jiakun Zheng, 2021. "Willingness to pay for reductions in health risks under anticipated regret," Post-Print hal-04227414, HAL.
    3. Courbage, Christophe & Rey, Béatrice & Treich, Nicolas, 2013. "Prevention and precaution," TSE Working Papers 13-445, Toulouse School of Economics (TSE).
    4. 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.
    5. 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.
    6. Bellavance, Franois & Dionne, Georges & Lebeau, Martin, 2009. "The value of a statistical life: A meta-analysis with a mixed effects regression model," Journal of Health Economics, Elsevier, vol. 28(2), pages 444-464, March.
    7. Felder, Stefan, 2020. "The treatment decision under uncertainty: The effects of health, wealth and the probability of death," Journal of Health Economics, Elsevier, vol. 69(C).
    8. James K. Hammitt, 2020. "Valuing mortality risk in the time of COVID-19," Journal of Risk and Uncertainty, Springer, vol. 61(2), pages 129-154, October.
    9. 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.
    10. Han Bleichrodt & Christophe Courbage & Béatrice Rey, 2019. "The value of a statistical life under changes in ambiguity," Journal of Risk and Uncertainty, Springer, vol. 58(1), pages 1-15, February.
    11. Antoine Bommier & Bertrand Villeneuve, 2012. "Risk Aversion and the Value of Risk to Life," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 79(1), pages 77-104, March.
    12. Hammitt, James K. & Treich, Nicolas, 2021. "Fatality Risk Regulation," TSE Working Papers 21-1177, Toulouse School of Economics (TSE).
    13. Kevin Haninger & James K. Hammitt, 2011. "Diminishing Willingness to Pay per Quality‐Adjusted Life Year: Valuing Acute Foodborne Illness," Risk Analysis, John Wiley & Sons, vol. 31(9), pages 1363-1380, September.
    14. Zhihua Xu & Jingzhu Shan, 2018. "The effect of risk perception on willingness to pay for reductions in the health risks posed by particulate matter 2.5: A case study of Beijing, China," Energy & Environment, , vol. 29(8), pages 1319-1337, December.
    15. Henrik Andersson & Nicolas Treich, 2011. "The Value of a Statistical Life," Chapters, in: André de Palma & Robin Lindsey & Emile Quinet & Roger Vickerman (ed.), A Handbook of Transport Economics, chapter 17, Edward Elgar Publishing.
    16. Marcela V. Parada‐Contzen, 2019. "The Value of a Statistical Life for Risk‐Averse and Risk‐Seeking Individuals," Risk Analysis, John Wiley & Sons, vol. 39(11), pages 2369-2390, November.
    17. Maliheh Mansouri & Julie Rowney, 2014. "The Dilemma of Accountability for Professionals: A Challenge for Mainstream Management Theories," Journal of Business Ethics, Springer, vol. 123(1), pages 45-56, August.
    18. Dennis Guignet & Anna Alberini, 2015. "Can Property Values Capture Changes in Environmental Health Risks? Evidence from a Stated Preference Study in Italy and the United Kingdom," Risk Analysis, John Wiley & Sons, vol. 35(3), pages 501-517, March.
    19. Stefan Felder & Andreas Werblow, 2009. "The Marginal Cost of Saving a Life in Health Care: Age, Gender and Regional Differences in Switzerland," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 145(II), pages 137-153, June.
    20. Rheinberger, Christoph M. & Schläpfer, Felix & Lobsiger, Michael, 2017. "A Novel Approach to Estimating the Demand Value of Road Safety," ETA: Economic Theory and Applications 254045, Fondazione Eni Enrico Mattei (FEEM).

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:jrisku:v:65:y:2022:i:1:d:10.1007_s11166-022-09384-x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.