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First Things First: Assessing Data Quality before Model Quality

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  • Anita Gohdes
  • Megan Price

Abstract

We address weaknesses in the Peace Research Insitute Oslo (PRIO) Battle Deaths Dataset, and as a result draw contradicting conclusions to those presented by Lacina and Gleditsch. Our analysis focuses on the availability of data on battle deaths within specific conflict-years and problems encountered when data from multiple types of sources are combined. We repeat Lacina, Gleditsch, and Russett’s analysis of battle deaths over time, with an attempt to provide a more robust model and incorporate an estimate of the uncertainty present in the PRIO Battle Deaths Dataset. This reanalysis reveals that the data used to establish the PRIO Battle Deaths Dataset does not offer a clear answer as to whether battle deaths have decreased or increased since the end of the Second World War. We contend that while the PRIO Battle Deaths Dataset offers the most comprehensive assembly of battle deaths data available to date, it is not suitable for analysis across countries or over time.

Suggested Citation

  • Anita Gohdes & Megan Price, 2013. "First Things First: Assessing Data Quality before Model Quality," Journal of Conflict Resolution, Peace Science Society (International), vol. 57(6), pages 1090-1108, December.
    • Handle: RePEc:sae:jocore:v:57:y:2013:i:6:p:1090-1108
    DOI: 10.1177/0022002712459708
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    References listed on IDEAS

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    1. Brück, Tilman & Justino, Patricia & Verwimp, Philip & Avdeenko, Alexandra, 2010. "Identifying Conflict and Violence in Micro-Level Surveys," IZA Discussion Papers 5067, Institute of Labor Economics (IZA).
    2. Michael Spagat & Andrew Mack & Tara Cooper & Joakim Kreutz, 2009. "Estimating War Deaths," Journal of Conflict Resolution, Peace Science Society (International), vol. 53(6), pages 934-950, December.
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