Replication Data for: Identifying patterns in the structural drivers of intrastate conflict
收藏DataCite Commons2025-05-11 更新2025-05-17 收录
下载链接:
https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/B2PLGD
下载链接
链接失效反馈官方服务:
资源简介:
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.
提供机构:
Harvard Dataverse
创建时间:
2022-04-28



