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Preference updating in public health risk valuation

Author

Listed:
  • Mehmet Kutluay

    (Institute for Environmental Studies, Vrije Universiteit, Amsterdam
    Tinbergen Institute, Amsterdam/Rotterdam)

  • Roy Brouwer

    (Department of Economics and The Water Institute, University of Waterloo, Canada
    Institute for Environmental Studies, Vrije Universiteit, Amsterdam)

  • Richard S. J. Tol

    (Institution Department of Economics, University of Sussex
    Institute for Environmental Studies, Vrije Universiteit, Amsterdam
    Department of Spatial Economics, Vrije Universiteit, Amsterdam
    Tinbergen Institute, Amsterdam)

Abstract

Willingness to pay (WTP) for malaria pills, in light of new risk information and probability weighting, is estimated via a discrete choice experiment (CE). A lottery played prior to the CE yields individual-level probability weighting parameters through Bayesian inference. Over-reaction to new malaria risk information is found as marginal WTP for malaria protection increases by 20-33%. The probability weighting parameter helps to explain the observed variation in malaria valuation, while over or under-weighting of probabilities is found to be correlated with malaria knowledge and experience. This is independent of whether or not the information treatment is received. Over-reaction to new information uncovers potential biases, possibly from simply reminding people about being sick, in placing a monetary value on avoiding uncertain public health risks.

Suggested Citation

  • Mehmet Kutluay & Roy Brouwer & Richard S. J. Tol, 2017. "Preference updating in public health risk valuation," Working Paper Series 1517, Department of Economics, University of Sussex Business School.
  • Handle: RePEc:sus:susewp:1517
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    File URL: http://www.sussex.ac.uk/economics/documents/wps-15-2017.pdf
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    References listed on IDEAS

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    1. Mehmet Kutluay & Roy Brouwer & Richard S. J. Tol, 2019. "Valuing malaria morbidity: results from a global meta-analysis," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 8(3), pages 301-321, July.
    2. Kelvin Balcombe & Iain Fraser, 2015. "Parametric preference functionals under risk in the gain domain: A Bayesian analysis," Journal of Risk and Uncertainty, Springer, vol. 50(2), pages 161-187, April.
    3. 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.
    4. Matthias Sutter & Martin G. Kocher & Daniela Glätzle-Rützler & Stefan T. Trautmann, 2013. "Impatience and Uncertainty: Experimental Decisions Predict Adolescents' Field Behavior," American Economic Review, American Economic Association, vol. 103(1), pages 510-531, February.
    5. Han Bleichrodt & Louis Eeckhoudt, 2006. "Willingness to pay for reductions in health risks when probabilities are distorted," Health Economics, John Wiley & Sons, Ltd., vol. 15(2), pages 211-214, February.
    6. Viscusi, W Kip & Evans, William N, 1990. "Utility Functions That Depend on Health Status: Estimates and Economic Implications," American Economic Review, American Economic Association, vol. 80(3), pages 353-374, June.
    7. GlennW. Harrison & StevenJ. Humphrey & Arjan Verschoor, 2010. "Choice under Uncertainty: Evidence from Ethiopia, India and Uganda," Economic Journal, Royal Economic Society, vol. 120(543), pages 80-104, March.
    8. William Harbaugh & Kate Krause & Lise Vesterlund, 2002. "Risk Attitudes of Children and Adults: Choices Over Small and Large Probability Gains and Losses," Experimental Economics, Springer;Economic Science Association, vol. 5(1), pages 53-84, June.
    9. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    10. Anna Alberini & Paolo Rosato & Alberto Longo & Valentina Zanatta, 2005. "Information and Willingness to Pay in a Contingent Valuation Study: The Value of S. Erasmo in the Lagoon of Venice," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 48(2), pages 155-175.
    11. Spash, Clive L. & Hanley, Nick, 1995. "Preferences, information and biodiversity preservation," Ecological Economics, Elsevier, vol. 12(3), pages 191-208, March.
    12. Thijs Dekker & Roy Brouwer & Marjan Hofkes & Klaus Moeltner, 2011. "The Effect of Risk Context on the Value of a Statistical Life: a Bayesian Meta-model," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 49(4), pages 597-624, August.
    13. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    14. Denwood, Matthew J., 2016. "runjags: An R Package Providing Interface Utilities, Model Templates, Parallel Computing Methods and Additional Distributions for MCMC Models in JAGS," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 71(i09).
    15. Helga Fehr-Duda & Manuele Gennaro & Renate Schubert, 2006. "Gender, Financial Risk, and Probability Weights," Theory and Decision, Springer, vol. 60(2), pages 283-313, May.
    16. Rachel Croson & Uri Gneezy, 2009. "Gender Differences in Preferences," Journal of Economic Literature, American Economic Association, vol. 47(2), pages 448-474, June.
    17. Trudy Cameron, 2005. "Updating Subjective Risks in the Presence of Conflicting Information: An Application to Climate Change," Journal of Risk and Uncertainty, Springer, vol. 30(1), pages 63-97, January.
    18. John C. Bergstrom & John R. Stoll & Alan Randall, 1990. "The Impact of Information on Environmental Commodity Valuation Decisions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(3), pages 614-621.
    19. Louis Anthony Cox Jr. & Weihsueh A. Chiu & David M. Hassenzahl & Daniel M. Kammen, 2000. "Response," Risk Analysis, John Wiley & Sons, vol. 20(3), pages 295-296, June.
    20. Charles F. Manski, 2004. "Measuring Expectations," Econometrica, Econometric Society, vol. 72(5), pages 1329-1376, September.
    21. Henry Stott, 2006. "Cumulative prospect theory's functional menagerie," Journal of Risk and Uncertainty, Springer, vol. 32(2), pages 101-130, March.
    22. Stephen G. Dimmock & Roy Kouwenberg & Peter P. Wakker, 2016. "Ambiguity Attitudes in a Large Representative Sample," Management Science, INFORMS, vol. 62(5), pages 1363-1380, May.
    23. Robert J. Johnston & Kevin J. Boyle & Wiktor (Vic) Adamowicz & Jeff Bennett & Roy Brouwer & Trudy Ann Cameron & W. Michael Hanemann & Nick Hanley & Mandy Ryan & Riccardo Scarpa & Roger Tourangeau & Ch, 2017. "Contemporary Guidance for Stated Preference Studies," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(2), pages 319-405.
    24. Drazen Prelec, 1998. "The Probability Weighting Function," Econometrica, Econometric Society, vol. 66(3), pages 497-528, May.
    25. Tatyana Deryugina, 2013. "How do people update? The effects of local weather fluctuations on beliefs about global warming," Climatic Change, Springer, vol. 118(2), pages 397-416, May.
    26. Heath, Chip & Tversky, Amos, 1991. "Preference and Belief: Ambiguity and Competence in Choice under Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 4(1), pages 5-28, January.
    27. Martin, Andrew D. & Quinn, Kevin M. & Park, Jong Hee, 2011. "MCMCpack: Markov Chain Monte Carlo in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 42(i09).
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    Cited by:

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    More about this item

    Keywords

    probability weighting; malaria; valuation; information shock; Bayesian inference;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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