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What risks do people perceive in everyday life? A perspective gained from the experience sampling method (ESM)

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Abstract

The experiential sampling method (ESM) was used to collect data from 74 parttime students who described and assessed the risks involved in their current activities when interrupted at random moments by text messages. The major categories of perceived risk were short-term in nature and involved “loss of time or materials” related to work and “physical damage” (e.g., from transportation). Using techniques of multilevel analysis, we demonstrate effects of gender, emotional state, and types of risk on assessments of risk. Specifically, females do not differ from males in assessing the potential severity of risks but they see these as more likely to occur. Also, participants assessed risks to be lower when in more positive self-reported emotional states. We further demonstrate the potential of ESM by showing that risk assessments associated with current actions exceed those made retrospectively. We conclude by noting advantages and disadvantages of ESM for collecting data about risk perceptions.

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  • Robin Hogarth & Mariona Portell & Anna Cuxart, 2007. "What risks do people perceive in everyday life? A perspective gained from the experience sampling method (ESM)," Economics Working Papers 1005, Department of Economics and Business, Universitat Pompeu Fabra.
  • Handle: RePEc:upf:upfgen:1005
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    1. Robin Hogarth & Mariona Portell & Anna Cuxart & Gueorgui I. Kolev, 2008. "Emotion and reason in everyday risk perception," Economics Working Papers 1108, Department of Economics and Business, Universitat Pompeu Fabra, revised Jul 2009.
    2. Robin Hogarth & Mariona Portell & Anna Cuxart, 2010. "The Role of Incidental variables of Time in Mood Assessment," Working Papers 487, Barcelona School of Economics.
    3. Dave Möwisch & Florian Schmiedek & David Richter & Annette Brose, 2019. "Capturing Affective Well-Being in Daily Life with the Day Reconstruction Method: A Refined View on Positive and Negative Affect," Journal of Happiness Studies, Springer, vol. 20(2), pages 641-663, February.
    4. Peter M. Wiedemann & Frederik Freudenstein & Christoph Böhmert & Joe Wiart & Rodney J. Croft, 2017. "RF EMF Risk Perception Revisited: Is the Focus on Concern Sufficient for Risk Perception Studies?," IJERPH, MDPI, vol. 14(6), pages 1-13, June.
    5. Rolando Esteban Liranzo-Gómez & Antonio Torres-Valle & Ulises Javier Jauregui-Haza, 2024. "Risk Perception Assessment of Sargassum Blooms in Dominican Republic," Sustainability, MDPI, vol. 16(5), pages 1-17, March.
    6. Steudner, Tobias, 2021. "The Effects of Positive Feelings and Arousal on Privacy Decision-Making," 23rd ITS Biennial Conference, Online Conference / Gothenburg 2021. Digital societies and industrial transformations: Policies, markets, and technologies in a post-Covid world 238055, International Telecommunications Society (ITS).
    7. Noort, Mark C. & Reader, Tom W. & Gillespie, Alex, 2019. "Speaking up to prevent harm: a systematic review of the safety voice literature," LSE Research Online Documents on Economics 100774, London School of Economics and Political Science, LSE Library.
    8. Sarin, Rakesh & Wieland, Alice, 2016. "Risk aversion for decisions under uncertainty: Are there gender differences?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 60(C), pages 1-8.

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    More about this item

    Keywords

    Experiential sampling method; risk perception; risk assessment; gender differences; multi-level analysis; simultaneous vs. retrospective judgment;
    All these keywords.

    JEL classification:

    • C39 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Other
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • M10 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - General

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