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Perception of Own Death Risk: A Reassessment of Road-Traffic Mortality Risk

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Abstract

This study examines individuals' perception of their own road-mortality risk. Swedish data on respondents' subjective risk beliefs is used and compared with objective risk estimates. The objective risk is defined as the risk of the respondent's own age and gender group, and it is found that low and high risk groups over- and underassess their risk levels, respectively. This study replicates the analysis used by Andersson and Lundborg (2007) and the pattern of over- and underassessment found confirms their findings. As in their study, risk beliefs are updated in line with the Bayesian learning model, a relationship not statistically significant in this study, though. Regarding results of individual characteristics and risk beliefs in both studies, whereas, e.g., gender effects are robust, other results suggest a weak relationship between the perception of own road-mortality risk and individual characteristics.

Suggested Citation

  • Andersson, Henrik, 2008. "Perception of Own Death Risk: A Reassessment of Road-Traffic Mortality Risk," Working Papers 2008:11, Swedish National Road & Transport Research Institute (VTI).
  • Handle: RePEc:hhs:vtiwps:2008_011
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    File URL: http://www.transportportal.se/SWoPEc/Andersson_Risk_perc_road.pdf
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    Cited by:

    1. W. Kip Viscusi & Richard J. Zeckhauser, 2015. "The Relative Weights of Direct and Indirect Experiences in the Formation of Environmental Risk Beliefs," Risk Analysis, John Wiley & Sons, vol. 35(2), pages 318-331, February.
    2. Daniela Knuth & Doris Kehl & Lynn Hulse & Silke Schmidt, 2014. "Risk Perception, Experience, and Objective Risk: A Cross‐National Study with European Emergency Survivors," Risk Analysis, John Wiley & Sons, vol. 34(7), pages 1286-1298, July.

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    More about this item

    Keywords

    Bayesian learning; Overall risk; Peers; Road-traffic risk;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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