SDM: A New Data Set on Self-determination Movements with an Application to the Reputational Theory of Conflict

Nicholas Sambanis, Micha Germann, Andreas Schädel

Research output: Contribution to journalArticle

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Abstract

This article presents a new data set on self-determination movements (SDMs) with universal coverage for the period from 1945 to 2012. The data set corrects the selection bias that characterizes previous efforts to code SDMs and significantly expands coverage relative to the extant literature. For a random sample of cases, we add information on state–movement interactions and several attributes of SDM groups. The data can be used to study the causes of SDMs, the escalation of self-determination (SD) conflicts over time, and several other theoretical arguments concerning separatist conflict that have previously been tested with incomplete or inferior data. We demonstrate the usefulness of the new data set by revisiting Barbara Walter’s influential argument that governments will not accommodate SD challengers if they face several potential future challengers down the road because they want to build a reputation for strength. We do not find support for Walter’s reputational theory of separatist conflict.
Original languageEnglish
Pages (from-to)656-686
Number of pages31
JournalJournal of Conflict Resolution
Volume62
Issue number3
Early online date30 Oct 2017
DOIs
Publication statusPublished - 1 Mar 2018

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self-determination
coverage
escalation
random sample
reputation
Self-determination
road
cause
trend
interaction
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SDM : A New Data Set on Self-determination Movements with an Application to the Reputational Theory of Conflict. / Sambanis, Nicholas; Germann, Micha; Schädel, Andreas.

In: Journal of Conflict Resolution, Vol. 62, No. 3, 01.03.2018, p. 656-686.

Research output: Contribution to journalArticle

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