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Predictors of Social Distancing and Mask-Wearing Behavior: Panel Survey in Seven U.S. States

Author

Listed:
  • Plamen Nikolov

    (State University of New York (at Binghamton))

  • Andreas Pape

    (State University of New York at Binghamton)

  • Ozlem Tonguc

    (State University of New York at Binghamton)

  • Charlotte Williams

    (State University of New York at Binghamton)

Abstract

This paper presents preliminary summary results from a longitudinal study of participants in seven U.S. states during the COVID-19 pandemic. In addition to standard socio-economic characteristics, we collect data on various economic preference parameters: time, risk, and social preferences, and risk perception biases. We pay special attention to predictors that are both important drivers of social distancing and are potentially malleable and susceptible to policy levers. We note three important findings: (1) demographic characteristics exert the largest influence on social distancing measures and mask-wearing, (2) we show that individual risk perception and cognitive biases exert a critical role in influencing the decision to adopt social distancing measures, (3) we identify important demographic groups that are most susceptible to changing their social distancing behaviors. These findings can help inform the design of policy interventions regarding targeting specific demographic groups, which can help reduce the transmission speed of the COVID-19 virus.

Suggested Citation

  • Plamen Nikolov & Andreas Pape & Ozlem Tonguc & Charlotte Williams, 2020. "Predictors of Social Distancing and Mask-Wearing Behavior: Panel Survey in Seven U.S. States," Working Papers 2020-071, Human Capital and Economic Opportunity Working Group.
    • Handle: RePEc:hka:wpaper:2020-071
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    Cited by:

    1. Henrike Sternberg & Janina Isabel Steinert & Tim Büthe, 2023. "Compliance in the Public versus the Private Realm: Economic Preferences, Institutional Trust and COVID-19 Health Behaviors," Munich Papers in Political Economy 28, Munich School of Politics and Public Policy and the School of Management at the Technical University of Munich.
    2. Fang, Ximeng & Freyer, Timo & Ho, Chui-Yee & Chen, Zihua & Goette, Lorenz, 2022. "Prosociality predicts individual behavior and collective outcomes in the COVID-19 pandemic," Social Science & Medicine, Elsevier, vol. 308(C).
    3. Porismita Borah & Kyle Lorenzano & Anastasia Vishnevskaya & Erica Austin, 2022. "Conservative Media Use and COVID-19 Related Behavior: The Moderating Role of Media Literacy Variables," IJERPH, MDPI, vol. 19(13), pages 1-13, June.
    4. Lohmann, Paul M. & Gsottbauer, Elisabeth & You, Jing & Kontoleon, Andreas, 2023. "Anti-social behaviour and economic decision-making: Panel experimental evidence in the wake of COVID-19," Journal of Economic Behavior & Organization, Elsevier, vol. 206(C), pages 136-171.

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    More about this item

    Keywords

    COVID-19; social distancing; masks; mask wearing; health markets; health economics; cognitive biases; exponential growth; behavioral economics;
    All these keywords.

    JEL classification:

    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • D64 - Microeconomics - - Welfare Economics - - - Altruism; Philanthropy; Intergenerational Transfers

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