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“Negative Political Advertising: It’s All in the Timing”

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  • Davis, Brent

Abstract

Negative political advertising is a common feature of election campaigns in liberal democracies, whether in the milder form of ‘contrast ads’ or the more aggressive form of ‘attack ads’. Despite a substantial volume of scholarship, whether such advertisements generate persuasion effects (persuading voters of the deficiencies in the subject of the ads) or backlash effects (diminishing the standing of the candidate/party promulgating the ads) remains a still-unresolved question. This ‘persuasion or backlash’ question may well reflect the implicit assumption in many of the research designs, and their associated (and consequently mis-specified) models: that causality runs from negative political advertising to vote intention. This article tests that assumption, and finds it wanting. Testing for endogeneity indicates a bi-directional causality between negative political advertising and vote intention; each causes the other, but with differential temporal profiles. For electoral scholars (and campaign strategists) this means the decision(s) to engage in negative political advertising is not just if, by whom or how, but also when.

Suggested Citation

  • Davis, Brent, 2017. "“Negative Political Advertising: It’s All in the Timing”," MPRA Paper 79449, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:79449
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    References listed on IDEAS

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    1. Conor M. Dowling & Amber Wichowsky, 2015. "Attacks without Consequence? Candidates, Parties, Groups, and the Changing Face of Negative Advertising," American Journal of Political Science, John Wiley & Sons, vol. 59(1), pages 19-36, January.
    2. Thomas Stratmann, 2009. "How prices matter in politics: the returns to campaign advertising," Public Choice, Springer, vol. 140(3), pages 357-377, September.
    3. Kahn, Kim Fridkin & Kenney, Patrick J., 1999. "Do Negative Campaigns Mobilize or Suppress Turnout? Clarifying the Relationship between Negativity and Participation," American Political Science Review, Cambridge University Press, vol. 93(4), pages 877-889, December.
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    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior

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