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The MID4 dataset, 2002–2010: Procedures, coding rules and description

Author

Listed:
  • Glenn Palmer

    (Department of Political Science, Pennsylvania State University, USA)

  • Vito D’Orazio

    (Institute for Quantitative Social Science, Harvard University, USA)

  • Michael Kenwick

    (Department of Political Science, Pennsylvania State University, USA)

  • Matthew Lane

    (Department of Political Science, Pennsylvania State University, USA)

Abstract

Understanding the causes of interstate conflict continues to be a primary goal of the field of international relations. To that end, scholars continue to rely on large datasets of conflict in the international system. This paper introduces the latest iteration in the most widely used dataset on interstate conflicts, the Militarized Interstate Dispute (MID) 4 data. In this paper we first outline the updated data-collection process for the MID4 data. Second, we present some minor changes and clarifications to the coding rules for the MID4 datasets, as well as pointing out how the MID coding procedures affect several notable “close call†cases. Third, we introduce updates to the existing MID datasets for the years 2002–2010 and provide descriptive statistics that allow comparisons of the newer MID data to prior versions. We also offer some best practices and point out several ways in which the new MID data can contribute to research in international conflict.

Suggested Citation

  • Glenn Palmer & Vito D’Orazio & Michael Kenwick & Matthew Lane, 2015. "The MID4 dataset, 2002–2010: Procedures, coding rules and description," Conflict Management and Peace Science, Peace Science Society (International), vol. 32(2), pages 222-242, April.
    • Handle: RePEc:sae:compsc:v:32:y:2015:i:2:p:222-242
    DOI: 10.1177/0738894214559680
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    References listed on IDEAS

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    1. D. Scott Bennett & Allan C. Stam, 2000. "Research Design and Estimator Choices in the Analysis of Interstate Dyads," Journal of Conflict Resolution, Peace Science Society (International), vol. 44(5), pages 653-685, October.
    2. Glenn Palmer & Tamar London & Patrick Regan, 2004. "What's Stopping You?: The Sources of Political Constraints on International Conflict Behavior in Parliamentary Democracies," International Interactions, Taylor & Francis Journals, vol. 30(1), pages 1-24, January.
    3. D'Orazio, Vito & Landis, Steven T. & Palmer, Glenn & Schrodt, Philip, 2014. "Separating the Wheat from the Chaff: Applications of Automated Document Classification Using Support Vector Machines," Political Analysis, Cambridge University Press, vol. 22(2), pages 224-242, April.
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