Interstate War Battle dataset (1823–2003)

Eric Min
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Eric Min: Department of Political Science, 8783University of California

Journal of Peace Research, 2021, vol. 58, issue 2, 294-303

Abstract: Extant scholarship on interstate war and conflict resolution predominantly utilizes formal models, case studies, and statistical models with wars as the unit of analysis to assess the impact of battlefield activity on war duration and termination. As such, longstanding views of war have not been tested systematically using intraconflict measures, and deeper studies of war dynamics have also been hampered. I address these gaps by creating and introducing the Interstate War Battle (IWB) dataset, which captures the outcomes and dates of 1,708 battles across 97 interstate wars since 1823. This article describes the sources used to create these data, provides definitions, and presents descriptive statistics for the basic battle data and several daily-level measures constructed from them. I then use the data to test the implications of two major theoretical perspectives on conflict termination: the informational view, which emphasizes convergence in beliefs through battlefield activity; and Zartman’s ripeness theory, which highlights costly stalemates in fighting. I find suggestive evidence for informational views and little support for ripeness theory: new battlefield outcomes promote negotiated settlements, while battlefield stagnation undermines them. The IWB dataset has significant implications, highlights future research topics, and motivates a renewed research agenda on the empirical study of conflict.

Keywords: battle; conflict; information; interstate war; ripeness theory; war (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:sae:joupea:v:58:y:2021:i:2:p:294-303

DOI: 10.1177/0022343320913305

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