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Dynamic Processes in Risk Perception

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  • Loewenstein, George
  • Mather, Jane

Abstract

This article examines how public concern about different social problems changes over time in response to fluctuations in problem severity. Examining time series of concern and objective severity for nine different problems, both graphically and econometrically, we address three main questions. First, how closely does concern track fluctuations in problem severity? Second, what psychological processes mediate the relationship between concern and problem severity? Finally, what factor(s) distinguish between problems for which tracking is accurate and inaccurate? Copyright 1990 by Kluwer Academic Publishers

Suggested Citation

  • Loewenstein, George & Mather, Jane, 1990. "Dynamic Processes in Risk Perception," Journal of Risk and Uncertainty, Springer, vol. 3(2), pages 155-175, June.
    • Handle: RePEc:kap:jrisku:v:3:y:1990:i:2:p:155-75
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    Cited by:

    1. Martin-Lapoirie, Dylan & McColl, Kathleen & Gallopel-Morvan, Karine & Arwidson, Pierre & Raude, Jocelyn, 2024. "Health protective behaviours during the COVID-19 pandemic: Risk adaptation or habituation?," Social Science & Medicine, Elsevier, vol. 342(C).
    2. McCluskey, Jill & Rausser, Gordon C., 2000. "Estimation of perceived risk and its effect on property values," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt46x0r71b, Department of Agricultural & Resource Economics, UC Berkeley.
    3. 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.
    4. Jill J. McCluskey & Gordon C. Rausser, 2001. "Estimation of Perceived Risk and Its Effect on Property Values," Land Economics, University of Wisconsin Press, vol. 77(1), pages 42-55.
    5. Schauf, Andrew & Oh, Poong, 2021. "Adaptation strategies and collective dynamics of extraction in networked commons of bistable resources," SocArXiv wmtqk, Center for Open Science.
    6. Jacqueline Meijer-Irons, 2015. "Who perceives what? A demographic analysis of subjective perception in rural Thailand," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 13(1), pages 167-191.
    7. Busby, J.S. & Onggo, B.S.S. & Liu, Y., 2016. "Agent-based computational modelling of social risk responses," European Journal of Operational Research, Elsevier, vol. 251(3), pages 1029-1042.
    8. Gundula Glowka & Richard Hule & Anita Zehrer, 2024. "Risk perception of SMEs: strategic risks, family-related risks, external risks," Risk Management, Palgrave Macmillan, vol. 26(4), pages 1-27, December.
    9. Konstantinos Drakos & Catherine Mueller, 2014. "On the Determinants of Terrorism Risk Concern in Europe," Defence and Peace Economics, Taylor & Francis Journals, vol. 25(3), pages 291-310, June.
    10. Drakos, Konstantinos & Müller, Cathérine, 2011. "Terrorism risk concern in Europe," Economics Letters, Elsevier, vol. 112(2), pages 195-197, August.
    11. Dora L. Costa & Matthew E. Kahn, 2017. "Death and the Media: Infectious Disease Reporting During the Health Transition," Economica, London School of Economics and Political Science, vol. 84(335), pages 393-416, July.
    12. Islam, Marco, 2021. "Motivated Risk Assessments," Working Papers 2021:12, Lund University, Department of Economics, revised 26 Jul 2022.
    13. David P. Durham & Elizabeth A. Casman & Steven M. Albert, 2012. "Deriving Behavior Model Parameters from Survey Data: Self‐Protective Behavior Adoption During the 2009–2010 Influenza A(H1N1) Pandemic," Risk Analysis, John Wiley & Sons, vol. 32(12), pages 2020-2031, December.
    14. Rachael Piltch‐Loeb & Brian J. Zikmund‐Fisher & Victoria A. Shaffer & Laura D. Scherer & Megan Knaus & Angie Fagerlin & David M. Abramson & Aaron M. Scherer, 2019. "Cross‐Sectional Psychological and Demographic Associations of Zika Knowledge and Conspiracy Beliefs Before and After Local Zika Transmission," Risk Analysis, John Wiley & Sons, vol. 39(12), pages 2683-2693, December.
    15. Yun Su & Fan Zhao & Lingzhao Tan, 2015. "Whether a large disaster could change public concern and risk perception: a case study of the 7/21 extraordinary rainstorm disaster in Beijing in 2012," 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. 78(1), pages 555-567, August.
    16. May O. Lwin & Jiahui Lu & Anita Sheldenkar & Peter J. Schulz, 2018. "Strategic Uses of Facebook in Zika Outbreak Communication: Implications for the Crisis and Emergency Risk Communication Model," IJERPH, MDPI, vol. 15(9), pages 1-19, September.
    17. Busby, J.S., 2019. "The co-evolution of competition and parasitism in the resource-based view: A risk model of product counterfeiting," European Journal of Operational Research, Elsevier, vol. 276(1), pages 300-313.
    18. Raude, Jocelyn & MCColl, Kathleen & Flamand, Claude & Apostolidis, Themis, 2019. "Understanding health behaviour changes in response to outbreaks: Findings from a longitudinal study of a large epidemic of mosquito-borne disease," Social Science & Medicine, Elsevier, vol. 230(C), pages 184-193.
    19. Qin, Hua & Sanders, Christine & Prasetyo, Yanu & Syukron, Muh. & Prentice, Elizabeth, 2021. "Exploring the dynamic relationships between risk perception and behavior in response to the Coronavirus Disease 2019 (COVID-19) outbreak," Social Science & Medicine, Elsevier, vol. 285(C).

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