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Making Outsiders' Votes Count: Detecting Electoral Fraud Through a Natural Experiment

Author

Listed:
  • Kentaro Fukumoto

    (Gakushuin University)

  • Yusaku Horiuchi

    (The Australian National University (ANU) - Crawford School of Public Policy)

Abstract

Weak electoral registration requirements are commonly thought to encourage electoral participation, but may also promote electoral fraud. For one, candidates and their supporters can more easily mobilize voters outside the district to register and vote for the candidates, even though these voters do not reside within the district. We statistically detect this classic type of electoral fraud for the first time, by taking advantage of a natural experimental setting in Japanese municipal elections. We argue that whether or not a municipal election was held in April 2003 can be regarded as an "as-if" randomly assigned treatment. The difference-in-difference analysis of municipality-month panel data shows that an increase in the new population just prior to April 2003 is significantly larger in treatment municipalities (with an election) than in control ones (without an election). The estimated effects are, in some cases, decisive enough to change the electoral results, especially when the election is competitive. We argue that our approach – "election timing as treatment" – can be applied to investigate not only this type of electoral fraud but also other "electoral connection[s]" (Mayhew 1974) in other countries.

Suggested Citation

  • Kentaro Fukumoto & Yusaku Horiuchi, 2011. "Making Outsiders' Votes Count: Detecting Electoral Fraud Through a Natural Experiment," Crawford School Research Papers 1101, Crawford School of Public Policy, The Australian National University.
  • Handle: RePEc:een:crwfrp:1101
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    File URL: http://www.crawford.anu.edu.au/pdf/crwf_ssrn/crwfrp_1101.pdf
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    References listed on IDEAS

    as
    1. Torsten Persson & Guido Tabellini & Francesco Trebbi, 2003. "Electoral Rules and Corruption," Journal of the European Economic Association, MIT Press, vol. 1(4), pages 958-989, June.
    2. Wand, Jonathan N. & Shotts, Kenneth W. & Sekhon, Jasjeet S. & Mebane, Walter R. & Herron, Michael C. & Brady, Henry E., 2001. "The Butterfly Did It: The Aberrant Vote for Buchanan in Palm Beach County, Florida," American Political Science Review, Cambridge University Press, vol. 95(4), pages 793-810, December.
    3. Ziblatt, Daniel, 2009. "Shaping Democratic Practice and the Causes of Electoral Fraud: The Case of Nineteenth-Century Germany," American Political Science Review, Cambridge University Press, vol. 103(1), pages 1-21, February.
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    Cited by:

    1. Ferlenga, Francesco & Knight, Brian, 2025. "Vote early and vote often? Detecting electoral fraud from the timing of 19th century elections," Journal of Public Economics, Elsevier, vol. 243(C).
    2. Baghdasaryan, Vardan & Iannantuoni, Giovanna & Maggian, Valeria, 2019. "Electoral fraud and voter turnout: An experimental study," European Journal of Political Economy, Elsevier, vol. 58(C), pages 203-219.
    3. Escobari, Diego & Hoover, Gary A., 2024. "Late-Arriving Votes and Electoral Fraud: A Natural Experiment and Regression Discontinuity Evidence from Bolivia," World Development, Elsevier, vol. 173(C).
    4. Revelli, Federico, 2019. "The electoral migration cycle," European Journal of Political Economy, Elsevier, vol. 59(C), pages 461-482.
    5. Shigeoka, Hitoshi & Watanabe, Yasutora, 2023. "Policy Diffusion through Elections," IZA Discussion Papers 16275, Institute of Labor Economics (IZA).
    6. Lucardi, Adrián, 2019. "The Effect of District Magnitude on Electoral Outcomes: Evidence from Two Natural Experiments in Argentina," British Journal of Political Science, Cambridge University Press, vol. 49(2), pages 557-577, April.
    7. Vardan, Baghdasaryan & Giovanna, Iannantuoni & Valeria, Maggian, 2015. "Electoral fraud and voter turnout," Working Papers 315, University of Milano-Bicocca, Department of Economics, revised 25 Nov 2015.
    8. Garmann, Sebastian, 2016. "Concurrent elections and turnout: Causal estimates from a German quasi-experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 126(PA), pages 167-178.

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    JEL classification:

    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior

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