The Dataset of Countries at Risk of Electoral Violence

Sarah Birch; David Muchlinski

doi:10.1080/09546553.2017.1364636

The Dataset of Countries at Risk of Electoral Violence

Sarah Birch, David Muchlinski

UNSW University of New South Wales

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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.

Original language	English
Journal	Terrorism and Political Violence
Early online date	26 Sept 2017
DOIs	https://doi.org/10.1080/09546553.2017.1364636
Publication status	E-pub ahead of print - 26 Sept 2017

Keywords

elections
conflict
electoral violence
event data

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1080/09546553.2017.1364636Licence: CC BY-NC-ND

The Dataset of Countries_BIRCH_Publishedonline26September2017_GOLD VoR (CC BY-NC-ND)Final published version, 1.67 MBLicence: CC BY-NC-ND

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AB - 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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KW - conflict

KW - electoral violence

KW - event data

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M3 - Article

SN - 0954-6553

JO - Terrorism and Political Violence

JF - Terrorism and Political Violence

ER -

The Dataset of Countries at Risk of Electoral Violence

Abstract

Keywords

UN SDGs

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