Making Outsiders' Votes Count: Detecting Electoral Fraud through a Natural Experiment
Kentaro Fukumoto and
Yusaku Horiuchi
American Political Science Review, 2011, vol. 105, issue 3, 586-603
Abstract:
Weak electoral registration requirements are commonly thought to encourage electoral participation, but may also promote electoral fraud. As one possibility, candidates and their supporters can more easily mobilize voters who do not reside within the district to register there fraudulently and vote for that district's candidates. 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. A differences-in-differences analysis of municipality–month panel data shows that the 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 decisive enough to change the electoral results 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 electoral connections in other countries.
Date: 2011
References: Add references at CitEc
Citations: View citations in EconPapers (9)
Downloads: (external link)
https://www.cambridge.org/core/product/identifier/ ... type/journal_article link to article abstract page (text/html)
Related works:
Working Paper: Making Outsiders' Votes Count: Detecting Electoral Fraud Through a Natural Experiment (2011) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:cup:apsrev:v:105:y:2011:i:03:p:586-603_00
Access Statistics for this article
More articles in American Political Science Review from Cambridge University Press Cambridge University Press, UPH, Shaftesbury Road, Cambridge CB2 8BS UK.
Bibliographic data for series maintained by Kirk Stebbing (csjnls@cambridge.org).