IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2101.05365.html
   My bibliography  Save this paper

Scared into Action: How Partisanship and Fear are Associated with Reactions to Public Health Directives

Author

Listed:
  • Mike Lindow
  • David DeFranza
  • Arul Mishra
  • Himanshu Mishra

Abstract

Differences in political ideology are increasingly appearing as an impediment to successful bipartisan communication from local leadership. For example, recent empirical findings have shown that conservatives are less likely to adhere to COVID-19 health directives. This behavior is in direct contradiction to past research which indicates that conservatives are more rule abiding, prefer to avoid loss, and are more prevention-motivated than liberals. We reconcile this disconnect between recent empirical findings and past research by using insights gathered from press releases, millions of tweets, and mobility data capturing local movement in retail, grocery, workplace, parks, and transit domains during COVID-19 shelter-in-place orders. We find that conservatives adhere to health directives when they express more fear of the virus. In order to better understand this phenomenon, we analyze both official and citizen communications and find that press releases from local and federal government, along with the number of confirmed COVID-19 cases, lead to an increase in expressions of fear on Twitter.

Suggested Citation

  • Mike Lindow & David DeFranza & Arul Mishra & Himanshu Mishra, 2021. "Scared into Action: How Partisanship and Fear are Associated with Reactions to Public Health Directives," Papers 2101.05365, arXiv.org.
  • Handle: RePEc:arx:papers:2101.05365
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2101.05365
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Allcott, Hunt & Boxell, Levi & Conway, Jacob & Gentzkow, Matthew & Thaler, Michael & Yang, David, 2020. "Polarization and public health: Partisan differences in social distancing during the coronavirus pandemic," Journal of Public Economics, Elsevier, vol. 191(C).
    2. John Manuel Barrios & Yael V. Hochberg, 2020. "Risk Perception Through the Lens of Politics in the Time of the COVID-19 Pandemic," Working Papers 2020-32, Becker Friedman Institute for Research In Economics.
    3. Lechner, Michael, 2011. "The Estimation of Causal Effects by Difference-in-Difference Methods," Foundations and Trends(R) in Econometrics, now publishers, vol. 4(3), pages 165-224, November.
    4. Shihao Gu & Bryan Kelly & Dacheng Xiu, 2020. "Empirical Asset Pricing via Machine Learning," The Review of Financial Studies, Society for Financial Studies, vol. 33(5), pages 2223-2273.
    5. Sudeep Bhatia, 2019. "Predicting Risk Perception: New Insights from Data Science," Management Science, INFORMS, vol. 65(8), pages 3800-3823, August.
    6. List John A., 2007. "Field Experiments: A Bridge between Lab and Naturally Occurring Data," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 6(2), pages 1-47, April.
    7. Dhaval Dave & Andrew I. Friedson & Kyutaro Matsuzawa & Joseph J. Sabia, 2021. "When Do Shelter‐In‐Place Orders Fight Covid‐19 Best? Policy Heterogeneity Across States And Adoption Time," Economic Inquiry, Western Economic Association International, vol. 59(1), pages 29-52, January.
    8. Bursztyn, Leonardo & Rao, Akaash & Roth, Christopher & Yanagizawa-Drott, David, 2020. "Misinformation during a Pandemic," The Warwick Economics Research Paper Series (TWERPS) 1274, University of Warwick, Department of Economics.
    9. Chuan Ding & Donggen Wang & Xiaolei Ma & Haiying Li, 2016. "Predicting Short-Term Subway Ridership and Prioritizing Its Influential Factors Using Gradient Boosting Decision Trees," Sustainability, MDPI, vol. 8(11), pages 1-16, October.
    10. Virgil Henry Storr & Stefanie Haeffele-Balch, 2012. "Post-disaster Community Recovery in Heterogeneous, Loosely Connected Communities," Review of Social Economy, Taylor & Francis Journals, vol. 70(3), pages 295-314, October.
    11. Tomoko Haraoka & Toshiyuki Ojima & Chiyoe Murata & Shinya Hayasaka, 2012. "Factors Influencing Collaborative Activities between Non-Professional Disaster Volunteers and Victims of Earthquake Disasters," PLOS ONE, Public Library of Science, vol. 7(10), pages 1-8, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cook, Jonathan & Newberger, Noah & Smalling, Sami, 2020. "The spread of social distancing," Economics Letters, Elsevier, vol. 196(C).
    2. Ester Faia & Andreas Fuster & Vincenzo Pezone & Basit Zafar, 2024. "Biases in Information Selection and Processing: Survey Evidence from the Pandemic," The Review of Economics and Statistics, MIT Press, vol. 106(3), pages 829-847, May.
    3. Abel Brodeur & David Gray & Anik Islam & Suraiya Bhuiyan, 2021. "A literature review of the economics of COVID‐19," Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 1007-1044, September.
    4. Maxim Ananyev & Michael Poyker & Yuan Tian, 2021. "The safest time to fly: pandemic response in the era of Fox News," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(3), pages 775-802, July.
    5. Hensel, Lukas & Witte, Marc & Caria, A. Stefano & Fetzer, Thiemo & Fiorin, Stefano & Götz, Friedrich M. & Gomez, Margarita & Haushofer, Johannes & Ivchenko, Andriy & Kraft-Todd, Gordon & Reutskaja, El, 2022. "Global Behaviors, Perceptions, and the Emergence of Social Norms at the Onset of the COVID-19 Pandemic," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 473-496.
    6. Sumedha Gupta & Kosali I. Simon & Coady Wing, 2020. "Mandated and Voluntary Social Distancing During The COVID-19 Epidemic: A Review," NBER Working Papers 28139, National Bureau of Economic Research, Inc.
    7. Coibion, Olivier & Gorodnichenko, Yuriy & Weber, Michael, 2020. "The Cost of the COVID-19 Crisis: Lockdowns, Macroeconomic Expectations, and Consumer Spending," Department of Economics, Working Paper Series qt4jn1x65h, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    8. Egorov, Georgy & Enikolopov, Ruben & Makarin, Alexey & Petrova, Maria, 2021. "Divided we stay home: Social distancing and ethnic diversity," Journal of Public Economics, Elsevier, vol. 194(C).
    9. Rafkin, Charlie & Shreekumar, Advik & Vautrey, Pierre-Luc, 2021. "When guidance changes: Government stances and public beliefs," Journal of Public Economics, Elsevier, vol. 196(C).
    10. Janssen, Aljoscha & Shapiro, Matthew H., 2021. "Does precise case disclosure limit precautionary behavior? Evidence from COVID-19 in Singapore," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 700-714.
    11. Khan, Adnan & Nasim, Sanval & Shaukat, Mahvish & Stegmann, Andreas, 2021. "Building trust in the state with information: Evidence from urban Punjab," Journal of Public Economics, Elsevier, vol. 202(C).
    12. J Anthony Cookson & Joseph E Engelberg & William Mullins & Hui Chen, 0. "Does Partisanship Shape Investor Beliefs? Evidence from the COVID-19 Pandemic," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 10(4), pages 863-893.
    13. Burcu Ozgun & Tom Broekel, 2024. "Saved by the news? COVID-19 in German news and its relationship with regional mobility behaviour," Regional Studies, Taylor & Francis Journals, vol. 58(2), pages 365-380, February.
    14. Lea-Rachel Kosnik & Allen Bellas, 2020. "Drivers of COVID-19 Stay at Home Orders: Epidemiologic, Economic, or Political Concerns?," Economics of Disasters and Climate Change, Springer, vol. 4(3), pages 503-514, October.
    15. Janssen, Aljoscha & Shapiro, Matthew, 2020. "Does Precise Case Information Limit Precautionary Behavior? Evidence from COVID-19 in Singapore," Working Paper Series 1344, Research Institute of Industrial Economics.
    16. Charles Courtemanche & Joseph Garuccio & Anh Le & Joshua Pinkston & Aaron Yelowitz, 2021. "Chance elections, social distancing restrictions, and KENTUCKY’s early COVID-19 experience," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-19, July.
    17. Milosh, Maria & Painter, Marcus & Sonin, Konstantin & Van Dijcke, David & Wright, Austin L., 2021. "Unmasking partisanship: Polarization undermines public response to collective risk," Journal of Public Economics, Elsevier, vol. 204(C).
    18. Nicolás Ajzenman & Tiago Cavalcanti & Daniel Da Mata, 2023. "More than Words: Leaders' Speech and Risky Behavior during a Pandemic," American Economic Journal: Economic Policy, American Economic Association, vol. 15(3), pages 351-371, August.
    19. Eslami, Keyvan & Lee, Hyunju, 2024. "Overreaction and the value of information in a pandemic," European Economic Review, Elsevier, vol. 161(C).
    20. Nicolás Ajzenman & Tiago Cavalcanti & Daniel Da Mata, 2020. "More than Words: Leaders' Speech and Risky Behavior During a Pandemic," Department of Economics Working Papers wp_gob_2020_03, Universidad Torcuato Di Tella.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:2101.05365. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.