Integrating Conflict Event Data

Donnay, Karsten; Dunford, Eric T.; McGrath, Erin C.; Backer, David; Cunningham, David E.

Integrating Conflict Event Data

Dateien

Donnay_2-3kh189s47dad4.pdfGröße: 978.49 KBDownloads: 602

Datum

2019

Autor:innen

Donnay, Karsten

Dunford, Eric T.

McGrath, Erin C.

Backer, David

Cunningham, David E.

Open Access-Veröffentlichung

Open Access Green

Sammlungen

Politik- und Verwaltungswissenschaft
Exzellenzcluster "Die politische Dimension von Ungleichheit"

Publikationstyp

Zeitschriftenartikel

Publikationsstatus

Published

Erschienen in

Journal of Conflict Resolution. 2019, 63(5), pp. 1337-1364. ISSN 0022-0027. eISSN 1552-8766. Available under: doi: 10.1177/0022002718777050

Zusammenfassung

The growing multitude of sophisticated event-level data collection enables novel analyses of conflict. Even when multiple event data sets are available, researchers tend to rely on only one. We instead advocate integrating information from multiple event data sets. The advantages include facilitating analysis of relationships between different types of conflict, providing more comprehensive empirical measurement, and evaluating the relative coverage and quality of data sets. Existing integration efforts have been performed manually, with significant limitations. Therefore, we introduce Matching Event Data by Location, Time and Type (MELTT)—an automated, transparent, reproducible methodology for integrating event data sets. For the cases of Nigeria 2011, South Sudan 2015, and Libya 2014, we show that using MELTT to integrate data from four leading conflict event data sets (Uppsala Conflict Data Project–Georeferenced Event Data, Armed Conflict Location and Event Data, Social Conflict Analysis Database, and Global Terrorism Database) provides a more complete picture of conflict. We also apply multiple systems estimation to show that each of these data sets has substantial missingness in coverage.

Fachgebiet (DDC)

320 Politik

Schlagwörter

event data, data integration, conflict, civil wars, protests

Zitieren

ISO 690

DONNAY, Karsten, Eric T. DUNFORD, Erin C. MCGRATH, David BACKER, David E. CUNNINGHAM, 2019. Integrating Conflict Event Data. In: Journal of Conflict Resolution. 2019, 63(5), pp. 1337-1364. ISSN 0022-0027. eISSN 1552-8766. Available under: doi: 10.1177/0022002718777050

BibTex

@article{Donnay2019Integ-45178,
  year={2019},
  doi={10.1177/0022002718777050},
  title={Integrating Conflict Event Data},
  number={5},
  volume={63},
  issn={0022-0027},
  journal={Journal of Conflict Resolution},
  pages={1337--1364},
  author={Donnay, Karsten and Dunford, Eric T. and McGrath, Erin C. and Backer, David and Cunningham, David E.}
}

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Universitätsbibliographie

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