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Making Young Voters: The Impact of Preregistration on Youth Turnout

Author

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  • John B. Holbein
  • D. Sunshine Hillygus
Abstract
Recent research has cast doubt on the potential for various electoral reforms to increase voter turnout. In this article, we examine the effectiveness of preregistration laws, which allow young citizens to register before being eligible to vote. We use two empirical approaches to evaluate the impact of preregistration on youth turnout. First, we implement difference‐in‐difference and lag models to bracket the causal effect of preregistration implementation using the 2000–2012 Current Population Survey. Second, focusing on the state of Florida, we leverage a discontinuity based on date of birth to estimate the effect of increased preregistration exposure on the turnout of young registrants. In both approaches, we find preregistration increases voter turnout, with equal effectiveness for various subgroups in the electorate. More broadly, observed patterns suggest that campaign context and supporting institutions may help to determine when and if electoral reforms are effective.

Suggested Citation

  • John B. Holbein & D. Sunshine Hillygus, 2016. "Making Young Voters: The Impact of Preregistration on Youth Turnout," American Journal of Political Science, John Wiley & Sons, vol. 60(2), pages 364-382, April.
    • Handle: RePEc:wly:amposc:v:60:y:2016:i:2:p:364-382
    DOI: 10.1111/ajps.12177
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    Citations

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    Cited by:

    1. Claire McKay Bowen & Fang Liu & Bingyue Su, 2021. "Differentially private data release via statistical election to partition sequentially," METRON, Springer;Sapienza Università di Roma, vol. 79(1), pages 1-31, April.
    2. Angela Cools, 2020. "Parents, Infants, and Voter Turnout," Working Papers 20-04, Davidson College, Department of Economics.
    3. Stommes, Drew & Aronow, P. M. & Sävje, Fredrik, 2023. "On the Reliability of Published Findings Using the Regression Discontinuity Design in Political Science," I4R Discussion Paper Series 22, The Institute for Replication (I4R).
    4. Weiss, Amanda, 2024. "How Much Should We Trust Modern Difference-in-Differences Estimates?," OSF Preprints bqmws, Center for Open Science.
    5. Niklas Potrafke & Felix Roesel, 2020. "Opening hours of polling stations and voter turnout: Evidence from a natural experiment," The Review of International Organizations, Springer, vol. 15(1), pages 133-163, January.
    6. Jennifer Oser & Marc Hooghe & Zsuzsa Bakk & Roberto Mari, 2023. "Changing citizenship norms among adolescents, 1999-2009-2016: A two-step latent class approach with measurement equivalence testing," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(5), pages 4915-4933, October.
    7. Piatak Jaclyn, 2023. "Do Sociocultural Factors Drive Civic Engagement? An Examination of Political Interest and Religious Attendance," Nonprofit Policy Forum, De Gruyter, vol. 14(2), pages 185-204, April.
    8. Tong Wang & Cynthia Rudin, 2022. "Causal Rule Sets for Identifying Subgroups with Enhanced Treatment Effects," INFORMS Journal on Computing, INFORMS, vol. 34(3), pages 1626-1643, May.
    9. Yingying Dong & Michal Kolesár, 2023. "When can we ignore measurement error in the running variable?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(5), pages 735-750, August.

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