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The Seeds of Negativity: Knowledge and Money

Author

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  • Mitchell J. Lovett

    (Simon Graduate School of Business, University of Rochester, Rochester, New York 14627)

  • Ron Shachar

    (Arison School of Business, Interdisciplinary Center Herzliya, Herzliya 46150, Israel; and Fuqua School of Business, Duke University, Durham, North Carolina 27708)

Abstract

This paper studies the tendency to use negative ads. For this purpose, we focus on an interesting industry (political campaigns) and an intriguing empirical regularity (the tendency to "go negative" is higher in close races). We present a model of electoral competition in which ads inform voters either of the good traits of the candidate or of the bad traits of his opponent. We find that in equilibrium, the proportion of negative ads depends on both voters' knowledge and the candidate's budget. Furthermore, for an interesting subset of the parameter space, negativity increases in both knowledge and budget. Using data on the elections for the U.S. House of Representative in 2000, 2002, and 2004, we examine the model and its implications. Using nonstructural estimation, we find that negativity indeed increases in both voters' knowledge and the candidate's budget. Furthermore, we also find that knowledge and budget mediate the effect of closeness on negativity. Using structural estimation, we reinforce these findings. Specifically, we find that the model's parameters are within the subset of the parameter space discussed above. Thus, the evidence implies that the model is not only helpful in identifying variables that were ignored by previous studies (i.e., knowledge and budget) but also in explaining an intriguing empirical regularity.

Suggested Citation

  • Mitchell J. Lovett & Ron Shachar, 2011. "The Seeds of Negativity: Knowledge and Money," Marketing Science, INFORMS, vol. 30(3), pages 430-446, 05-06.
  • Handle: RePEc:inm:ormksc:v:30:y:2011:i:3:p:430-446
    DOI: 10.1287/mksc.1110.0638
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    1. Lau, Richard R. & Sigelman, Lee & Heldman, Caroline & Babbitt, Paul, 1999. "The Effects of Negative Political Advertisements: A Meta-Analytic Assessment," American Political Science Review, Cambridge University Press, vol. 93(4), pages 851-875, December.
    2. Richard H. Thaler, 2008. "Mental Accounting and Consumer Choice," Marketing Science, INFORMS, vol. 27(1), pages 15-25, 01-02.
    3. Yuxin Chen & Yogesh V. Joshi & Jagmohan S. Raju & Z. John Zhang, 2009. "A Theory of Combative Advertising," Marketing Science, INFORMS, vol. 28(1), pages 1-19, 01-02.
    4. Debora Viana Thompson & Rebecca W. Hamilton, 2006. "The Effects of Information Processing Mode on Consumers' Responses to Comparative Advertising," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 32(4), pages 530-540, March.
    5. Shiv, Baba & Edell, Julie A & Payne, John W, 1997. "Factors Affecting the Impact of Negatively and Positively Framed Ad Messages," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 24(3), pages 285-294, December.
    6. Greg Shaffer & Florian Zettelmeyer, 2009. "Comparative Advertising and In-Store Displays," Marketing Science, INFORMS, vol. 28(6), pages 1144-1156, 11-12.
    7. Narasimhan, Chakravarthi, 1988. "Competitive Promotional Strategies," The Journal of Business, University of Chicago Press, vol. 61(4), pages 427-449, October.
    8. Mann, Thomas E. & Wolfinger, Raymond E., 1980. "Candidates and Parties in Congressional Elections," American Political Science Review, Cambridge University Press, vol. 74(3), pages 617-632, September.
    9. David Soberman & Loïc Sadoulet, 2007. "Campaign Spending Limits and Political Advertising," Management Science, INFORMS, vol. 53(10), pages 1521-1532, October.
    10. Mark Glickman, 2001. "Dynamic paired comparison models with stochastic variances," Journal of Applied Statistics, Taylor & Francis Journals, vol. 28(6), pages 673-689.
    11. Skaperdas, Stergios & Grofman, Bernard, 1995. "Modeling Negative Campaigning," American Political Science Review, Cambridge University Press, vol. 89(1), pages 49-61, March.
    12. Mark E. Glickman, 1999. "Parameter Estimation in Large Dynamic Paired Comparison Experiments," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 48(3), pages 377-394.
    13. Harrington, Joseph Jr. & Hess, Gregory D., 1996. "A Spatial Theory of Positive and Negative Campaigning," Games and Economic Behavior, Elsevier, vol. 17(2), pages 209-229, December.
    14. David P. Baron, 1989. "Service-Induced Campaign Contributions and the Electoral Equilibrium," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 104(1), pages 45-72.
    15. Joan M. Phillips & Joel E. Urbany & Thomas J. Reynolds, 2008. "Confirmation and the Effects of Valenced Political Advertising: A Field Experiment," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 34(6), pages 794-806, October.
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    Cited by:

    1. Qiang Liu & Thomas J. Steenburgh & Sachin Gupta, 2015. "The Cross Attributes Flexible Substitution Logit: Uncovering Category Expansion and Share Impacts of Marketing Instruments," Marketing Science, INFORMS, vol. 34(1), pages 144-159, January.
    2. Brett Gordon & Mitchell Lovett & Ron Shachar & Kevin Arceneaux & Sridhar Moorthy & Michael Peress & Akshay Rao & Subrata Sen & David Soberman & Oleg Urminsky, 2012. "Marketing and politics: Models, behavior, and policy implications," Marketing Letters, Springer, vol. 23(2), pages 391-403, June.
    3. Brett R. Gordon & Mitchell J. Lovett & Bowen Luo & James C. Reeder, 2023. "Disentangling the Effects of Ad Tone on Voter Turnout and Candidate Choice in Presidential Elections," Management Science, INFORMS, vol. 69(1), pages 220-243, January.
    4. Li, Xiaolin & Singh Rao, Raghunath & Narasimhan, Om & Gao, Xing, 2022. "Stay positive or go negative? Memory imperfections and messaging strategy," LSE Research Online Documents on Economics 113556, London School of Economics and Political Science, LSE Library.
    5. Barton, Jared & Castillo, Marco & Petrie, Ragan, 2016. "Negative campaigning, fundraising, and voter turnout: A field experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 121(C), pages 99-113.
    6. Satoshi Kasamatsu & Daiki Kishishita, 2022. "Informative campaigning in multidimensional politics: The role of naïve voters," Journal of Theoretical Politics, , vol. 34(1), pages 78-106, January.
    7. Yanwen Wang & Michael Lewis & David A. Schweidel, 2018. "A Border Strategy Analysis of Ad Source and Message Tone in Senatorial Campaigns," Marketing Science, INFORMS, vol. 37(3), pages 333-355, May.
    8. Mitchell J. Lovett, 2019. "Empirical Research on Political Marketing: a Selected Review," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 6(3), pages 49-56, December.
    9. Lingling Zhang & Doug J. Chung, 2020. "The Air War vs. the Ground Game: An Analysis of Multichannel Marketing in U.S. Presidential Elections," Marketing Science, INFORMS, vol. 39(5), pages 872-892, September.
    10. Li, Xiaolin & Rao, Raghunath Singh & Narasimhan, Om & Gao, Xing, 2022. "Stay positive or go negative? Memory imperfections and messaging strategy," International Journal of Research in Marketing, Elsevier, vol. 39(4), pages 1127-1149.

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