Record Details


Field	Value

Title	Replication Data for: Identifying patterns in the structural drivers of intrastate conflict

Identifier	https://doi.org/10.7910/DVN/B2PLGD

Creator	Moyer, Jonathan Matthews, Austin Rafa, Mickey Xiong, Yutang

Publisher	Harvard Dataverse

Description	Quantitative methods have been used to a) better predict civil conflict onset and b) understand causal mechanisms to informing policy intervention and theory. But an exploration of individual conflict onset cases illustrates great variation in the characteristics describing civil war onsets, suggesting that there is not one single set of factors that lead to intrastate war. In this paper we use descriptive statistics to explore persistent clusters in the drivers of civil war onset, finding evidence that some arrangements of structural drivers cluster robustly across multiple model specifications (such as young, poorly developed states with anocratic regimes). Additionally, we find that approximately one-fifth of onset cases cannot be neatly clustered across models, suggesting that these cases are difficult to predict and multiple methods for understanding civil conflict onsets (and state failures more generally) may be necessary.

Subject	Social Sciences civil conflict clustering analysis state failure quantitative models

Language	English

Contributor	Xiong, Yutang

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