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

Glenn Palmer, Vito D’Orazio, Michael Kenwick and Matthew Lane
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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

Conflict Management and Peace Science, 2015, vol. 32, issue 2, 222-242

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.

Keywords: Conflict; data; MID; militarized interstate dispute (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:compsc:v:32:y:2015:i:2:p:222-242

DOI: 10.1177/0738894214559680

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