IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/26946.html
   My bibliography  Save this paper

Polarization and Public Health: Partisan Differences in Social Distancing during the Coronavirus Pandemic

Author

Listed:
  • Hunt Allcott
  • Levi Boxell
  • Jacob C. Conway
  • Matthew Gentzkow
  • Michael Thaler
  • David Y. Yang

Abstract

We study partisan differences in Americans’ response to the COVID-19 pandemic. Political leaders and media outlets on the right and left have sent divergent messages about the severity of the crisis, which could impact the extent to which Republicans and Democrats engage in social distancing and other efforts to reduce disease transmission. We develop a simple model of a pandemic response with heterogeneous agents that clarifies the causes and consequences of heterogeneous responses. We use location data from a large sample of smartphones to show that areas with more Republicans engaged in less social distancing, controlling for other factors including public policies, population density, and local COVID cases and deaths. We then present new survey evidence of significant gaps at the individual level between Republicans and Democrats in self-reported social distancing, beliefs about personal COVID risk, and beliefs about the future severity of the pandemic.

Suggested Citation

  • Hunt Allcott & Levi Boxell & Jacob C. Conway & Matthew Gentzkow & Michael Thaler & David Y. Yang, 2020. "Polarization and Public Health: Partisan Differences in Social Distancing during the Coronavirus Pandemic," NBER Working Papers 26946, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:26946
    Note: EH LS PE POL
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w26946.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Scott R Baker & Robert A Farrokhnia & Steffen Meyer & Michaela Pagel & Constantine Yannelis & Jeffrey Pontiff, 0. "How Does Household Spending Respond to an Epidemic? Consumption during the 2020 COVID-19 Pandemic," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 10(4), pages 834-862.
    2. Ying Fan & A. Yeşim Orhun & Dana Turjeman, 2020. "Heterogeneous Actions, Beliefs, Constraints and Risk Tolerance During the COVID-19 Pandemic," NBER Working Papers 27211, National Bureau of Economic Research, Inc.
    3. Burkhardt, Jesse & Bayham, Jude & Wilson, Ander & Carter, Ellison & Berman, Jesse D. & O'Dell, Katelyn & Ford, Bonne & Fischer, Emily V. & Pierce, Jeffrey R., 2019. "The effect of pollution on crime: Evidence from data on particulate matter and ozone," Journal of Environmental Economics and Management, Elsevier, vol. 98(C).
    4. Ľuboš Pástor & Pietro Veronesi, 2020. "Political Cycles and Stock Returns," Journal of Political Economy, University of Chicago Press, vol. 128(11), pages 4011-4045.
    5. Christopher Blattman & Donald P Green & Daniel Ortega & Santiago Tobón, 2021. "Place-Based Interventions at Scale: The Direct and Spillover Effects of Policing and City Services on Crime [Clustering as a Design Problem]," Journal of the European Economic Association, European Economic Association, vol. 19(4), pages 2022-2051.
    6. Benoît, Jean-Pierre & Dubra, Juan, 2014. "A Theory of Rational Attitude Polarization," MPRA Paper 60129, University Library of Munich, Germany.
    7. Ash, Elliott & Galletta, Sergio & Hangartner, Dominik & Margalit, Yotam & Pinna, Matteo, 2024. "The Effect of Fox News on Health Behavior during COVID-19," Political Analysis, Cambridge University Press, vol. 32(2), pages 275-284, April.
    8. Roland G FryerJr & Philipp Harms & Matthew O Jackson, 2019. "Updating Beliefs when Evidence is Open to Interpretation: Implications for Bias and Polarization," Journal of the European Economic Association, European Economic Association, vol. 17(5), pages 1470-1501.
    9. John M. Barrios & Yael Hochberg, 2020. "Risk Perception Through the Lens of Politics in the Time of the COVID-19 Pandemic," NBER Working Papers 27008, National Bureau of Economic Research, Inc.
    10. Campante, Filipe R. & Hojman, Daniel A., 2013. "Media and polarization," Journal of Public Economics, Elsevier, vol. 100(C), pages 79-92.
    11. 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.
    12. Edward L. Glaeser & Bryce A. Ward, 2006. "Myths and Realities of American Political Geography," Journal of Economic Perspectives, American Economic Association, vol. 20(2), pages 119-144, Spring.
    13. Pietro Ortoleva & Erik Snowberg, 2015. "Overconfidence in Political Behavior," American Economic Review, American Economic Association, vol. 105(2), pages 504-535, February.
    14. Kirsten Cornelson & Boriana Miloucheva, 2020. "Political polarization, social fragmentation, and cooperation during a pandemic," Working Papers tecipa-663, University of Toronto, Department of Economics.
    15. Prior, Markus & Sood, Gaurav & Khanna, Kabir, 2015. "You Cannot be Serious: The Impact of Accuracy Incentives on Partisan Bias in Reports of Economic Perceptions," Quarterly Journal of Political Science, now publishers, vol. 10(4), pages 489-518, December.
    16. Vaughan, E. & Tinker, T., 2009. "Effective health risk communication about pandemic influenza for vulnerable populations," American Journal of Public Health, American Public Health Association, vol. 99(S2), pages 324-332.
    17. Bullock, John G. & Gerber, Alan S. & Hill, Seth J. & Huber, Gregory A., 2015. "Partisan Bias in Factual Beliefs about Politics," Quarterly Journal of Political Science, now publishers, vol. 10(4), pages 519-578, December.
    18. Donald R. Davis & Jonathan I. Dingel & Joan Monras & Eduardo Morales, 2019. "How Segregated Is Urban Consumption?," Journal of Political Economy, University of Chicago Press, vol. 127(4), pages 1684-1738.
    19. Andrey Simonov & Szymon Sacher & Jean-Pierre Dube & Shirsho Biswas, 2020. "The Persuasive Effect of Fox News: Non-Compliance with Social Distancing During the COVID-19 Pandemic," Working Papers 2020-67, Becker Friedman Institute for Research In Economics.
    20. Lerman, Amy E. & Sadin, Meredith L. & Trachtman, Samuel, 2017. "Policy Uptake as Political Behavior: Evidence from the Affordable Care Act," American Political Science Review, Cambridge University Press, vol. 111(4), pages 755-770, November.
    21. Jean-Pierre Dubé & Zheng Fang & Nathan Fong & Xueming Luo, 2017. "Competitive Price Targeting with Smartphone Coupons," Marketing Science, INFORMS, vol. 36(6), pages 944-975, November.
    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. 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.
    2. 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.
    3. 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.
    4. Aassve, Arnstein & Capezzone, Tommaso & Cavalli, Nicolo' & Conzo, Pierluigi & Peng, Chen, 2022. "Trust in the time of coronavirus: longitudinal evidence from the United States," SocArXiv vwzk7, Center for Open Science.
    5. Fuest, Clemens & Immel, Lea & Neumeier, Florian & Peichl, Andreas, 2023. "Does expert information affect citizens’ attitudes toward Corona policies? Evidence from Germany," European Journal of Political Economy, Elsevier, vol. 78(C).
    6. 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).
    7. Eslami, Keyvan & Lee, Hyunju, 2024. "Overreaction and the value of information in a pandemic," European Economic Review, Elsevier, vol. 161(C).
    8. Ingar Haaland & Christopher Roth & Johannes Wohlfart, 2023. "Designing Information Provision Experiments," Journal of Economic Literature, American Economic Association, vol. 61(1), pages 3-40, March.
    9. 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.
    10. 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).
    11. Shin KINOSHITA & Masayuki SATO & Takanori IDA, 2022. "Bayesian Probability Revision and Infection Prevention Behavior in Japan : A Quantitative Analysis of the First Wave of COVID-19," Discussion papers e-22-004, Graduate School of Economics , Kyoto University.
    12. Sergei Guriev & Elias Papaioannou, 2022. "The Political Economy of Populism," Journal of Economic Literature, American Economic Association, vol. 60(3), pages 753-832, September.
    13. 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.
    14. 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.
    15. Tian, Yuan & Caballero, Maria Esther & Kovak, Brian K., 2022. "Social learning along international migrant networks," Journal of Economic Behavior & Organization, Elsevier, vol. 195(C), pages 103-121.
    16. 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.
    17. Ströbel, Johannes & Bailey, Michael & Johnston, Drew & Koenen, Martin & Kuchler, Theresa & Russel, Dominic, 2020. "Social Distancing During a Pandemic - The Role of Friends," CEPR Discussion Papers 15593, C.E.P.R. Discussion Papers.
    18. Shin, Su Hyun & Ji, Hyunjung & Lim, HanNa, 2021. "Heterogeneity in preventive behaviors during COVID-19: Health risk, economic insecurity, and slanted information," Social Science & Medicine, Elsevier, vol. 278(C).
    19. Sonja Settele & Cortnie Shupe, 2020. "Lives or Livelihoods? Perceived Tradeoffs and Public Demand for Non-Pharmaceutical Interventions," CEBI working paper series 20-17, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
    20. 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.

    More about this item

    JEL classification:

    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:nbr:nberwo:26946. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    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.