IDEAS home Printed from https://ideas.repec.org/a/bla/socsci/v105y2024i4p1042-1060.html
   My bibliography  Save this article

Partisanship is why people vote in person in a pandemic

Author

Listed:
  • Seo‐Young Silvia Kim
  • Akhil Bandreddi
  • R. Michael Alvarez

Abstract

Objective The choice of voting methods has increasingly become a politicized, partisan issue. We ask: Can a nationalized partisan rhetoric cast doubt on vote‐by‐mail (VBM) despite years of experience and a raging pandemic? Method Using 2020 general election records in Colorado, an established all‐mail voting state, we analyze first the general choice of voting methods using supervised machine learning and then the choice to switch to in‐person voting despite having used VBM in previous cycles. Results The choice of voting modes is mainly habitual; local variations of COVID‐19 hardly mattered. Republican partisanship played an important role in predicting “switchers” to in‐person voting; the probability was 5.2 percent conditional on being a Republican as opposed to 1.9 percent for a Democrat. Conclusions The results suggest that voting in person can be heavily polarized by partisan communication, despite being a health behavior in a pandemic and voters having experience with mail voting.

Suggested Citation

  • Seo‐Young Silvia Kim & Akhil Bandreddi & R. Michael Alvarez, 2024. "Partisanship is why people vote in person in a pandemic," Social Science Quarterly, Southwestern Social Science Association, vol. 105(4), pages 1042-1060, July.
  • Handle: RePEc:bla:socsci:v:105:y:2024:i:4:p:1042-1060
    DOI: 10.1111/ssqu.13380
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/ssqu.13380
    Download Restriction: no

    File URL: https://libkey.io/10.1111/ssqu.13380?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Takaya Saito & Marc Rehmsmeier, 2015. "The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-21, March.
    2. King, Gary & Zeng, Langche, 2001. "Logistic Regression in Rare Events Data," Political Analysis, Cambridge University Press, vol. 9(2), pages 137-163, January.
    3. Wang, Yu, 2019. "Comparing Random Forest with Logistic Regression for Predicting Class-Imbalanced Civil War Onset Data: A Comment," Political Analysis, Cambridge University Press, vol. 27(1), pages 107-110, January.
    4. 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).
    5. Sean Richey, 2008. "Voting by Mail: Turnout and Institutional Reform in Oregon," Social Science Quarterly, Southwestern Social Science Association, vol. 89(4), pages 902-915, December.
    6. Mark Owens, 2021. "Changes in attitudes, nothing remains quite the same: Absentee voting and public health," Social Science Quarterly, Southwestern Social Science Association, vol. 102(4), pages 1349-1360, July.
    7. Robert M. Stein & Greg Vonnahme, 2012. "When, Where, and How We Vote: Does it Matter?," Social Science Quarterly, Southwestern Social Science Association, vol. 93(3), pages 692-712, September.
    8. Kousser, Thad & Mullin, Megan, 2007. "Does Voting by Mail Increase Participation? Using Matching to Analyze a Natural Experiment," Political Analysis, Cambridge University Press, vol. 15(4), pages 428-445.
    9. Walsh, Katherine Cramer, 2012. "Putting Inequality in Its Place: Rural Consciousness and the Power of Perspective," American Political Science Review, Cambridge University Press, vol. 106(3), pages 517-532, August.
    10. Seo‐young Silvia Kim & R. Michael Alvarez & Christina M. Ramirez, 2020. "Who Voted in 2016? Using Fuzzy Forests to Understand Voter Turnout," Social Science Quarterly, Southwestern Social Science Association, vol. 101(2), pages 978-988, March.
    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. Jacek Rothert, 2020. "Optimal federal redistribution during the uncoordinated response to a pandemic," Departmental Working Papers 64, United States Naval Academy Department of Economics.
    2. Angel M. Morales & Patrick Tarwater & Indika Mallawaarachchi & Alok Kumar Dwivedi & Juan B. Figueroa-Casas, 2015. "Multinomial logistic regression approach for the evaluation of binary diagnostic test in medical research," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 16(2), pages 203-222, June.
    3. F. Gauthier & D. Germain & B. Hétu, 2017. "Logistic models as a forecasting tool for snow avalanches in a cold maritime climate: northern Gaspésie, Québec, Canada," 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. 89(1), pages 201-232, October.
    4. Douglas Cumming & Lars Hornuf & Moein Karami & Denis Schweizer, 2023. "Disentangling Crowdfunding from Fraudfunding," Journal of Business Ethics, Springer, vol. 182(4), pages 1103-1128, February.
    5. Eunae Yoo & Elliot Rabinovich & Bin Gu, 2020. "The Growth of Follower Networks on Social Media Platforms for Humanitarian Operations," Production and Operations Management, Production and Operations Management Society, vol. 29(12), pages 2696-2715, December.
    6. Bidisha Mandal & Nilton Porto & D. Elizabeth Kiss & Soo Hyun Cho & Lorna Saboe‐Wounded Head, 2023. "Health insurance coverage during the COVID‐19 pandemic: The role of Medicaid expansion," Journal of Consumer Affairs, Wiley Blackwell, vol. 57(1), pages 296-319, January.
    7. Lou, Jiehong & Shen, Xingchi & Niemeier, Deb, 2020. "Are stay-at-home orders more difficult to follow for low-income groups?," Journal of Transport Geography, Elsevier, vol. 89(C).
    8. Beland, Louis-Philippe & Brodeur, Abel & Wright, Taylor, 2020. "COVID-19, Stay-at-Home Orders and Employment: Evidence from CPS Data," GLO Discussion Paper Series 559, Global Labor Organization (GLO).
    9. Cemal Eren Arbatlı & Quamrul H. Ashraf & Oded Galor & Marc Klemp, 2020. "Diversity and Conflict," Econometrica, Econometric Society, vol. 88(2), pages 727-797, March.
    10. Aldo Carranza & Marcel Goic & Eduardo Lara & Marcelo Olivares & Gabriel Y. Weintraub & Julio Covarrubia & Cristian Escobedo & Natalia Jara & Leonardo J. Basso, 2022. "The Social Divide of Social Distancing: Shelter-in-Place Behavior in Santiago During the Covid-19 Pandemic," Management Science, INFORMS, vol. 68(3), pages 2016-2027, March.
    11. Lo Turco, Alessia & Maggioni, Daniela, 2018. "Effects of Islamic religiosity on bilateral trust in trade: The case of Turkish exports," Journal of Comparative Economics, Elsevier, vol. 46(4), pages 947-965.
    12. Nicola Fuchs-Schündeln & Dirk Krueger & André Kurmann & Etienne Lalé & Alexander Ludwig & Irina Popova, 2023. "The Fiscal and Welfare Effects of Policy Responses to the Covid-19 School Closures," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 71(1), pages 35-98, March.
    13. Nicholas W. Papageorge & Matthew V. Zahn & Michèle Belot & Eline Broek-Altenburg & Syngjoo Choi & Julian C. Jamison & Egon Tripodi, 2021. "Socio-demographic factors associated with self-protecting behavior during the Covid-19 pandemic," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(2), pages 691-738, April.
    14. Matija Kovacic & Claudio Zoli, 2021. "Ethnic distribution, effective power and conflict," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 57(2), pages 257-299, August.
    15. Alexander Dietrich & Edward S. Knotek & Keith Kuester & Gernot J. Müller & Kristian Ove R. Myrseth & Raphael Schoenle & Michael Weber, 2020. "Consumers and COVID-19: A Real-Time Survey," Economic Commentary, Federal Reserve Bank of Cleveland, vol. 2020(08), pages 1-6, April.
    16. Blackman, Allen & Guerrero, Santiago, 2012. "What drives voluntary eco-certification in Mexico?," Journal of Comparative Economics, Elsevier, vol. 40(2), pages 256-268.
    17. Jacob Ausderan, 2018. "Reassessing the democratic advantage in interstate wars using k-adic datasets," Conflict Management and Peace Science, Peace Science Society (International), vol. 35(5), pages 451-473, September.
    18. Alessandra Iannamorelli & Stefano Nobili & Antonio Scalia & Luana Zaccaria, 2024. "Asymmetric Information and Corporate Lending: Evidence from SME Bond Markets," Review of Finance, European Finance Association, vol. 28(1), pages 163-201.
    19. Paul Poast, 2013. "Issue linkage and international cooperation: An empirical investigation," Conflict Management and Peace Science, Peace Science Society (International), vol. 30(3), pages 286-303, July.
    20. Christopher J Greenwood & George J Youssef & Primrose Letcher & Jacqui A Macdonald & Lauryn J Hagg & Ann Sanson & Jenn Mcintosh & Delyse M Hutchinson & John W Toumbourou & Matthew Fuller-Tyszkiewicz &, 2020. "A comparison of penalised regression methods for informing the selection of predictive markers," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-14, November.

    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:bla:socsci:v:105:y:2024:i:4:p:1042-1060. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0038-4941 .

    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.