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Gender, Race, Age and Voting: A Research Note

Author

Listed:
  • Stephen Ansolabehere

    (Department of Government, Harvard University, 1737 Cambridge St., Cambridge, MA 02138, USA)

  • Eitan Hersh

    (Department of Political Science, Yale University, 77 Prospect St., New Haven, CT 06520, USA)

Abstract

In this brief analysis, we use a new dataset of two million voter registration records to demonstrate that gender, race, and age do not correlate with political participation in the ways that previous research has shown. Among Blacks and Latinos, women participate at vastly higher rates than men; many Blacks participate at higher rates than Whites; and the relationship between age and participation is both not linear and varies by race and gender. Survey research is unable to capture the true relationship between demographics and participation on account of survey bias and, more importantly, the non-linearity of effects. As a result, theories of participation, like the dominant resources-based models, have been built on faulty premises and tested with inadequate data. Our evidence calls for a renewed effort to understand election participation by utilizing large datasets, by being attentive to linearity assumptions, and by returning to theory.

Suggested Citation

  • Stephen Ansolabehere & Eitan Hersh, 2013. "Gender, Race, Age and Voting: A Research Note," Politics and Governance, Cogitatio Press, vol. 1(2), pages 132-137.
  • Handle: RePEc:cog:poango:v:1:y:2013:i:2:p:132-137
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    References listed on IDEAS

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    1. Silver, Brian D. & Anderson, Barbara A. & Abramson, Paul R., 1986. "Who Overreports Voting?," American Political Science Review, Cambridge University Press, vol. 80(2), pages 613-624, June.
    2. Ansolabehere, Stephen & Hersh, Eitan, 2012. "Validation: What Big Data Reveal About Survey Misreporting and the Real Electorate," Political Analysis, Cambridge University Press, vol. 20(4), pages 437-459.
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    Cited by:

    1. Liam F. Beiser-McGrath & Robert A. Huber, 2018. "Assessing the relative importance of psychological and demographic factors for predicting climate and environmental attitudes," Climatic Change, Springer, vol. 149(3), pages 335-347, August.
    2. Michal Plaček & Cristina del Campo & Vladislav Valentinov & Gabriela Vaceková & Markéta Šumpíková & František Ochrana, 2022. "Gender Heterogeneity and Politics in Decision-Making About Green Public Procurement in the Czech Republic," Politics and Governance, Cogitatio Press, vol. 10(3), pages 239-250.
    3. Plaček, Michal & del Campo, Cristina & Valentinov, Vladislav & Vaceková, Gabriela & Šumpíková, Markéta & Ochrana, František, 2022. "Gender heterogeneity and politics in decision-making about green public procurement in the Czech Republic," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 10(3), pages 239-250.

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