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SSRN Electronic Journal
Article . 2015 . Peer-reviewed
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Electoral Fraud and Voter Turnout

Authors: Baghdasaryan, Vardan; Iannantuoni, Giovanna; Maggian, Valeria;

Electoral Fraud and Voter Turnout

Abstract

In this paper we experimentally investigate the consequences of electoral fraud on voter turnout. The experiment is based on a strategic binary voting model where voters decide whether to cast a costly vote in favour of their preferred candidate or to abstain. Minority candidate can illicitly influence the electoral process by applying ballot-box stuffing. In the experiment we implement two different framings: we compare voter turnout in a neutral environment and with framed instructions to explicitly replicate elections. This approach enables to both test the model's predictions and to estimate framing effects of voting and fraud. Comparison of experimental results with theoretical predictions reveals over-voting, which is exacerbated when fraud occurs. Moreover, turnout increases with moderate level of fraud. However, when considering higher electoral fraud, theoretical predictions are not matched. Voters fail to recognize that the existence of a relatively larger number of "agents" voting with certainty considerably decreases the benefits of voting.Importantly, framing matters, as revealed by the higher turnout of those in the majority group, against which the fraud is applied. Finally, individual level regression analysis provides evidences of strategic voting.

Country
France
Keywords

Ballot rigging and Voter turnout, Framing, Voting, [SHS.ECO] Humanities and Social Sciences/Economics and Finance, Laboratory experiment

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
bronze