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The effect of norm-based messages on reading and understanding COVID-19 pandemic response governmental rules

Author

Listed:
  • Ennio Bilancini

    (IMT School of Advanced Studies, Lucca, Italy)

  • Leonardo Boncinelli

    (University of Florence, Italy)

  • Valerio Capraro

    (Middlesex University London)

  • Roberto Di Paolo

    (IMT School of Advanced Studies, Lucca, Italy
    University of Alicante)

Abstract

The new coronavirus disease (COVID-19) threatens the lives of millions of people around the world, making it the largest health threat in recent times. Billions of people around the world are asked to adhere to strict shelter-in-place rules, finalized to slow down the spread of the virus. Appeals and messages are being used by leaders and policymakers to promote pandemic response. Given the stakes at play, it is thus important for social scientists to explore which messages are most effective in promoting pandemic response. In fact, some papers in the last month have explored the effect of several messages on people's intentions to engage in pandemic response behavior. In this paper, we make two contributions. First, we explore the effect of messages on people's actual engagement, and not on intentions. Specifically, our dependent variables are the level of understanding of official COVID-19 pandemic response governmental informative panels, measured through comprehension questions, and the time spent on reading these rules. Second, we test a novel set of appeals built through the theory of norms. One message targets the personal norm (what people think is the right thing to do), one targets the descriptive norm (what people think others are doing), and one targets the injunctive norm (what people think others approve or disapprove of). Our experiment is conducted online with a representative (with respect to gender, age, and location) sample of Italians. Norms are made salient using a flier. We find that norm-based fliers had no effect on comprehension and on time spent on the panels. These results suggest that norm-based interventions through fliers have very little impact on people's reading and understanding of COVID-19 pandemic response governmental rules.

Suggested Citation

  • Ennio Bilancini & Leonardo Boncinelli & Valerio Capraro & Roberto Di Paolo, 2020. "The effect of norm-based messages on reading and understanding COVID-19 pandemic response governmental rules," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 4(S), pages 45-55, June.
  • Handle: RePEc:beh:jbepv1:v:4:y:2020:i:s:p:45-55
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    References listed on IDEAS

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    Cited by:

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    2. repec:cup:judgdm:v:15:y:2020:i:6:p:1037-1043 is not listed on IDEAS
    3. Ahmed Maged Nofal & Gabriella Cacciotti & Nick Lee, 2020. "Who complies with COVID-19 transmission mitigation behavioral guidelines?," Post-Print hal-02962370, HAL.
    4. Valeria Fanghella & Thi-Thanh-Tam Vu & Luigi Mittone, 2021. "Priming prosocial behavior and expectations in response to the Covid-19 pandemic -- Evidence from an online experiment," Papers 2102.13538, arXiv.org.
    5. Valerio Capraro & Hélène Barcelo, 2020. "The effect of messaging and gender on intentions to wear a face covering to slow down COVID-19 transmission," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 4(S2), pages 45-55, December.
    6. Muhammad Nawaz & Ghulam Abid & Talat Islam & Jinsoo Hwang & Zohra Lassi, 2022. "Providing Solution in an Emergency: COVID-19 and Voice Behavior of Healthcare Professionals," SAGE Open, , vol. 12(4), pages 21582440221, December.
    7. Michelle Baddeley, 2020. "COVID-19 2020: A year of living dangerously," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 4(S3), pages 5-9, December.
    8. Danae Arroyos-Calvera & Michalis Drouvelis & Johannes Lohse & Rebecca McDonald, 2020. "Improving compliance with COVID-19 guidance: a workplace field experiment," Discussion Papers 20-30, Department of Economics, University of Birmingham.
    9. Martin Schonger & Daniela Sele, 2020. "How to better communicate the exponential growth of infectious diseases," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-13, December.
    10. Sachin Banker & Joowon Park, 2020. "Evaluating prosocial COVID-19 messaging frames: Evidence from a field study on Facebook," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 15(6), pages 1037-1043, November.
    11. Brañas-Garza, Pablo & Jorrat, Diego & Alfonso-Costillo, Antonio & Espín, Antonio M. & Garcia, Teresa & Kovářík, Jaromír, 2020. "Exposure to the Covid-19 pandemic and generosity," MPRA Paper 103389, University Library of Munich, Germany.

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    More about this item

    Keywords

    norm-based messages; nudging; health policy; pandemic response;
    All these keywords.

    JEL classification:

    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • P35 - Political Economy and Comparative Economic Systems - - Socialist Institutions and Their Transitions - - - Public Finance

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