IDEAS home Printed from https://ideas.repec.org/a/wly/amposc/v64y2020i2p398-415.html
   My bibliography  Save this article

Strategic Candidate Entry and Congressional Elections in the Era of Fox News

Author

Listed:
  • Kevin Arceneaux
  • Johanna Dunaway
  • Martin Johnson
  • Ryan J. Vander Wielen

Abstract

Elections are designed to give voters the ability to hold elected officials accountable for their actions. For this to work, voters must be presented with credible alternatives from which to choose. In the United States, as in other weak‐party systems, the decision to challenge an incumbent representative rests with individual, strategic‐minded politicians who carefully weigh the available information. We investigate the role that one source of information—partisan media—plays in shaping electoral competition. We hypothesize that the haphazard expansion of the conservative Fox News Channel in the decade after its 1996 launch influenced congressional elections by affecting the decision calculus of high‐quality potential candidates. Using congressional district‐level data on the local availability of Fox News, we find that Fox News altered Republican potential candidates' perceptions about the vulnerability of Democratic incumbents, thereby changing their entry patterns.

Suggested Citation

  • Kevin Arceneaux & Johanna Dunaway & Martin Johnson & Ryan J. Vander Wielen, 2020. "Strategic Candidate Entry and Congressional Elections in the Era of Fox News," American Journal of Political Science, John Wiley & Sons, vol. 64(2), pages 398-415, April.
    • Handle: RePEc:wly:amposc:v:64:y:2020:i:2:p:398-415
    DOI: 10.1111/ajps.12478
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/ajps.12478
    Download Restriction: no
    File URL: https://libkey.io/10.1111/ajps.12478?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. Stefano DellaVigna & Ethan Kaplan, 2007. "The Fox News Effect: Media Bias and Voting," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 1187-1234.
    2. Harvey Goldstein & Michael J. R. Healy, 1995. "The Graphical Presentation of a Collection of Means," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 158(1), pages 175-177, January.
    3. Black, Gordon S., 1972. "A Theory of Political Ambition: Career Choices and the Role of Structural Incentives," American Political Science Review, Cambridge University Press, vol. 66(1), pages 144-159, March.
    4. Alexis Diamond & Jasjeet S. Sekhon, 2013. "Genetic Matching for Estimating Causal Effects: A General Multivariate Matching Method for Achieving Balance in Observational Studies," The Review of Economics and Statistics, MIT Press, vol. 95(3), pages 932-945, July.
    5. Maestas, Cherie D. & Fulton, Sarah & Maisel, L. Sandy & Stone, Walter J., 2006. "When to Risk It? Institutions, Ambitions, and the Decision to Run for the U.S. House," American Political Science Review, Cambridge University Press, vol. 100(2), pages 195-208, May.
    6. Hainmueller, Jens & Mummolo, Jonathan & Xu, Yiqing, 2019. "How Much Should We Trust Estimates from Multiplicative Interaction Models? Simple Tools to Improve Empirical Practice," Political Analysis, Cambridge University Press, vol. 27(2), pages 163-192, April.
    7. Yphtach Lelkes & Gaurav Sood & Shanto Iyengar, 2017. "The Hostile Audience: The Effect of Access to Broadband Internet on Partisan Affect," American Journal of Political Science, John Wiley & Sons, vol. 61(1), pages 5-20, January.
    8. Kevin Arceneaux & Martin Johnson & René Lindstädt & Ryan J. Vander Wielen, 2016. "The Influence of News Media on Political Elites: Investigating Strategic Responsiveness in Congress," American Journal of Political Science, John Wiley & Sons, vol. 60(1), pages 5-29, January.
    9. Jacobson, Gary C., 1989. "Strategic Politicians and the Dynamics of U.S. House Elections, 1946–86," American Political Science Review, Cambridge University Press, vol. 83(3), pages 773-793, September.
    10. Ho, Daniel E. & Imai, Kosuke & King, Gary & Stuart, Elizabeth A., 2007. "Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference," Political Analysis, Cambridge University Press, vol. 15(3), pages 199-236, July.
    11. Hopkins, Daniel J. & Ladd, Jonathan M., 2014. "The Consequences of Broader Media Choice: Evidence from the Expansion of Fox News," Quarterly Journal of Political Science, now publishers, vol. 9(1), pages 115-135, March.
    12. Ho, Daniel & Imai, Kosuke & King, Gary & Stuart, Elizabeth A., 2011. "MatchIt: Nonparametric Preprocessing for Parametric Causal Inference," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 42(i08).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Geoffrey Layman & Frances Lee & Christina Wolbrecht, 2023. "Political Parties and Loser’s Consent in American Politics," The ANNALS of the American Academy of Political and Social Science, , vol. 708(1), pages 164-183, July.
    2. 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.

    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. Thomas Carsey & William Berry, 2014. "What’s a losing party to do? The calculus of contesting state legislative elections," Public Choice, Springer, vol. 160(1), pages 251-273, July.
    2. Riccardo D'Alberto & Francesco Pagliacci & Matteo Zavalloni, 2023. "A socioeconomic impact assessment of three Italian national parks," Journal of Regional Science, Wiley Blackwell, vol. 63(1), pages 114-147, January.
    3. Karolina M Lukasik & Minna Lehtonen & Anna Soveri & Otto Waris & Jussi Jylkkä & Matti Laine, 2018. "Bilingualism and working memory performance: Evidence from a large-scale online study," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-16, November.
    4. Waltl, Sofie R., 2018. "Estimating quantile-specific rental yields for residential housing in Sydney," Regional Science and Urban Economics, Elsevier, vol. 68(C), pages 204-225.
    5. Richard Aviles-Lopez & Juan de Dios Luna del Castillo & Miguel Ángel Montero-Alonso, 2023. "Exploratory Matching Model Search Algorithm (EMMSA) for Causal Analysis: Application to the Cardboard Industry," Mathematics, MDPI, vol. 11(21), pages 1-34, October.
    6. Chervier, Colas & Le Velly, Gwenolé & Ezzine-de-Blas, Driss, 2019. "When the Implementation of Payments for Biodiversity Conservation Leads to Motivation Crowding-out: A Case Study From the Cardamoms Forests, Cambodia," Ecological Economics, Elsevier, vol. 156(C), pages 499-510.
    7. Mansaray, Alhassan & Coleman, Simeon & Ataullah, Ali & Sirichand, Kavita, 2021. "Residual government ownership in public-private partnership projects," Journal of Government and Economics, Elsevier, vol. 4(C).
    8. Jetter, Michael & Walker, Jay K., 2022. "News coverage and mass shootings in the US," European Economic Review, Elsevier, vol. 148(C).
    9. Finocchiaro Castro, Massimo & Guccio, Calogero & Rizzo, Ilde, 2023. "“One-size-fits-all” public works contract does it better? An assessment of infrastructure provision in Italy," Journal of Policy Modeling, Elsevier, vol. 45(5), pages 994-1014.
    10. Gabriele Spilker & Tobias Böhmelt, 2013. "The impact of preferential trade agreements on governmental repression revisited," The Review of International Organizations, Springer, vol. 8(3), pages 343-361, September.
    11. Rigdon, Joseph & Berkowitz, Seth A. & Seligman, Hilary K. & Basu, Sanjay, 2017. "Re-evaluating associations between the Supplemental Nutrition Assistance Program participation and body mass index in the context of unmeasured confounders," Social Science & Medicine, Elsevier, vol. 192(C), pages 112-124.
    12. Baloria, Vishal P. & Heese, Jonas, 2018. "The effects of media slant on firm behavior," Journal of Financial Economics, Elsevier, vol. 129(1), pages 184-202.
    13. Datta, Nirupam, 2015. "Evaluating Impacts of Watershed Development Program on Agricultural Productivity, Income, and Livelihood in Bhalki Watershed of Bardhaman District, West Bengal," World Development, Elsevier, vol. 66(C), pages 443-456.
    14. Neimanns, Erik & Blossey, Nils, 2022. "From media-party linkages to ownership concentration causes of cross-national variation in media outlets' economic positioning," MPIfG Discussion Paper 22/8, Max Planck Institute for the Study of Societies.
    15. Stjepan Srhoj & Michael Lapinski & Janette Walde, 2019. "Size matters? Impact evaluation of business development grants on SME performance," Working Papers 2019-14, Faculty of Economics and Statistics, Universität Innsbruck.
    16. Pavithra Harsha & Shivaram Subramanian & Joline Uichanco, 2019. "Dynamic Pricing of Omnichannel Inventories," Service Science, INFORMS, vol. 21(1), pages 47-65, January.
    17. Lenis, David & Ackerman, Benjamin & Stuart, Elizabeth A., 2018. "Measuring model misspecification: Application to propensity score methods with complex survey data," Computational Statistics & Data Analysis, Elsevier, vol. 128(C), pages 48-57.
    18. Piolatto, Amedeo & Schuett, Florian, 2015. "Media competition and electoral politics," Journal of Public Economics, Elsevier, vol. 130(C), pages 80-93.
    19. Thomas Fujiwara & Karsten Müller & Carlo Schwarz, 2021. "The Effect of Social Media on Elections: Evidence from the United States," NBER Working Papers 28849, National Bureau of Economic Research, Inc.
    20. Marcel Garz & Jonna Rickardsson, 2023. "Ownership and media slant: Evidence from Swedish newspapers," Kyklos, Wiley Blackwell, vol. 76(1), pages 18-40, February.

    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:wly:amposc:v:64:y:2020:i:2:p:398-415. 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: https://doi.org/10.1111/(ISSN)1540-5907 .

    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.