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Assessing small non-zero perceptions of chance: The case of H1N1 (swine) flu risks

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  • Wändi Bruine de Bruin
  • Andrew Parker
  • Jürgen Maurer

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Suggested Citation

  • Wändi Bruine de Bruin & Andrew Parker & Jürgen Maurer, 2011. "Assessing small non-zero perceptions of chance: The case of H1N1 (swine) flu risks," Journal of Risk and Uncertainty, Springer, vol. 42(2), pages 145-159, April.
    • Handle: RePEc:kap:jrisku:v:42:y:2011:i:2:p:145-159
    DOI: 10.1007/s11166-011-9113-5
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    References listed on IDEAS

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    1. Michael D. Hurd & Kathleen McGarry, 1995. "Evaluation of the Subjective Probabilities of Survival in the Health and Retirement Study," Journal of Human Resources, University of Wisconsin Press, vol. 30, pages 268-292.
    2. F. Thomas Juster, 1966. "Consumer Buying Intentions and Purchase Probability: An Experiment in Survey Design," NBER Books, National Bureau of Economic Research, Inc, number just66-2, July.
    3. Michael D. Hurd & Kathleen McGarry, 2002. "The Predictive Validity of Subjective Probabilities of Survival," Economic Journal, Royal Economic Society, vol. 112(482), pages 966-985, October.
    4. Lee Lillard & Robert J. Willis, 2001. "Cognition and Wealth: The Importance of Probabilistic Thinking," Working Papers wp007, University of Michigan, Michigan Retirement Research Center.
    5. Andrea D. Gurmankin & Marie Helweg-Larsen & Katrina Armstrong & Stephen E. Kimmel & Kevin G. M. Volpp, 2005. "Comparing the Standard Rating Scale and the Magnifier Scale for Assessing Risk Perceptions," Medical Decision Making, , vol. 25(5), pages 560-570, September.
    6. McClelland, Gary H & Schulze, William D & Coursey, Don L, 1993. "Insurance for Low-Probability Hazards: A Bimodal Response to Unlikely Events," Journal of Risk and Uncertainty, Springer, vol. 7(1), pages 95-116, August.
    7. Steven Woloshin & Lisa M. Schwartz & Stephanie Byram & Baruch Fischhoff & H. Gilbert Welch, 2000. "A New Scale for Assessing Perceptions of Chance," Medical Decision Making, , vol. 20(3), pages 298-307, July.
    8. Ritov, Ilana & Baron, Jonathan & Hershey, John C, 1993. "Framing Effects in the Evaluation of Multiple Risk Reduction," Journal of Risk and Uncertainty, Springer, vol. 6(2), pages 145-159, April.
    9. Fischhoff, Baruch & Welch, Ned & Fredrick, Shane, 1999. "Construal Processes in Preference Assessment," Journal of Risk and Uncertainty, Springer, vol. 19(1-3), pages 139-164, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    RePEc Biblio mentions

    As found on the RePEc Biblio, the curated bibliography for Economics:
    1. > Economics of Welfare > Health Economics > Economics of Pandemics > Specific pandemics > Swine Influenza (H1N1)

    Citations

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    Cited by:

    1. Stefan Pichler & Nicolas R. Ziebarth, 2015. "The Pros and Cons of Sick Pay Schemes: Testing for Contagious Presenteeism and Shirking Behavior," Discussion Papers of DIW Berlin 1509, DIW Berlin, German Institute for Economic Research.
    2. Pichler, Stefan & Ziebarth, Nicolas R., 2015. "The Pros and Cons of Sick Pay Schemes: A Method to Test for Contagious Presenteeism and Shirking Behavior," IZA Discussion Papers 8850, Institute of Labor Economics (IZA).
    3. Kettlewell, Nathan, 2020. "Subjective Expectations for Health Service Use and Consequences for Health Insurance Behavior," IZA Discussion Papers 13445, Institute of Labor Economics (IZA).
    4. W. J. Wouter Botzen & Jantsje M. Mol & Peter J. Robinson & Juan Zhang & Jeffrey Czajkowski, 2022. "Individual hurricane evacuation intentions during the COVID-19 pandemic: insights for risk communication and emergency management policies," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 111(1), pages 507-522, March.
    5. Joachim Winter & Amelie Wuppermann, 2014. "Do They Know What Is At Risk? Health Risk Perception Among The Obese," Health Economics, John Wiley & Sons, Ltd., vol. 23(5), pages 564-585, May.
    6. Jantsje M. Mol & W. J. Wouter Botzen & Julia E. Blasch & Hans de Moel, 2020. "Insights into Flood Risk Misperceptions of Homeowners in the Dutch River Delta," Risk Analysis, John Wiley & Sons, vol. 40(7), pages 1450-1468, July.
    7. Pichler, Stefan & Ziebarth, Nicolas R., 2017. "The pros and cons of sick pay schemes: Testing for contagious presenteeism and noncontagious absenteeism behavior," Journal of Public Economics, Elsevier, vol. 156(C), pages 14-33.
    8. repec:cup:judgdm:v:10:y:2015:i:4:p:365-385 is not listed on IDEAS
    9. Wändi Bruine de Bruin & Katherine G. Carman, 2018. "Measuring Subjective Probabilities: The Effect of Response Mode on the Use of Focal Responses, Validity, and Respondents’ Evaluations," Risk Analysis, John Wiley & Sons, vol. 38(10), pages 2128-2143, October.
    10. W.J. Wouter Botzen & Howard Kunreuther & Erwann Michel-Kerjan, 2015. "Divergence between individual perceptions and objective indicators of tail risks: Evidence from floodplain residents in New York City," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 10(4), pages 365-385, July.
    11. Johannes G. Jaspersen & Gilberto Montibeller, 2015. "Probability Elicitation Under Severe Time Pressure: A Rank‐Based Method," Risk Analysis, John Wiley & Sons, vol. 35(7), pages 1317-1335, July.
    12. Pichler, Stefan & Ziebarth, Nicolas R., 2019. "Reprint of: The pros and cons of sick pay schemes: Testing for contagious presenteeism and noncontagious absenteeism behavior," Journal of Public Economics, Elsevier, vol. 171(C), pages 86-104.

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    More about this item

    Keywords

    Risk perceptions; Expectations; Visual linear scale; Magnifier scale; H1N1 flu; I10; D84; C83;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

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