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The Dataset of Countries at Risk of Electoral Violence

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  • Sarah Birch
  • David Muchlinski

Abstract

Electoral violence is increasingly affecting elections around the world, yet researchers have been limited by a paucity of granular data on this phenomenon. This paper introduces and describes a new dataset of electoral violence—the Dataset of Countries at Risk of Electoral Violence (CREV)—that provides measures of 10 different types of electoral violence across 642 elections held around the globe between 1995 and 2013. The paper provides a detailed account of how and why the dataset was constructed, together with a replication of previous research on electoral violence. We introduce this dataset by demonstrating that the CREV, while measuring the same underlying phenomena as other datasets on electoral violence, provides researchers with the ability to draw more nuanced conclusions about the causes and consequences of violence that occurs in connection with the electoral process. We also present and analyze descriptive data from the CREV dataset.

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Handle: RePEc:taf:ftpvxx:v:32:y:2020:i:2:p:217-236
DOI: 10.1080/09546553.2017.1364636
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