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Hostile Sexism and the 2016 Presidential Election

Author

Listed:
  • Ann L. Owen

    (Hamilton College)

  • Andrew Wei

    (Cornell University)

Abstract

We use Google Trends data to identify hostile sexism and find that sexism negatively predicts Clinton’s vote share in the 2016 general election and is associated with lower voter turnout among those more likely to vote for a Democrat. Although we find no evidence that hostile sexism was more prevalent in states in which Trump held more than 10 pre-election rallies, we find that sexism had a larger impact on votes in these areas. This shows that the marginal effect of sexism was not uniform across the country and links the differing magnitudes of the effect to Trump rallies.

Suggested Citation

  • Ann L. Owen & Andrew Wei, 2024. "Hostile Sexism and the 2016 Presidential Election," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 50(3), pages 238-258, June.
    • Handle: RePEc:pal:easeco:v:50:y:2024:i:3:d:10.1057_s41302-024-00269-2
    DOI: 10.1057/s41302-024-00269-2
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    References listed on IDEAS

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    More about this item

    Keywords

    Sexism; Elections; Google trends; Electoral college;
    All these keywords.

    JEL classification:

    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

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