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

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  • 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
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    References listed on IDEAS

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    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. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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).
    11. 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.
    12. 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.
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    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.

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