Replication Data for: Regions at Risk: Predicting Conflict Zones in African Insurgencies
收藏DataONE2016-03-11 更新2024-06-27 收录
下载链接:
https://search.dataone.org/view/sha256:e925ef69ed151788164a8886f87e354423dfb9753aaf0cfb09c061f96ed0a43f
下载链接
链接失效反馈官方服务:
资源简介:
A method for predicting conflict zones in civil wars based on point process models is presented in this paper. Instead of testing the validity of specific theoretical conjectures about the determinants of violence in a causal framework, this paper builds on classic literature and a wide body of recent studies to predict conflict zones based on a series of geographic conditions. Using an innovative cross-validation design, the study shows that the quantitative research program on the micro-foundations of violence in civil conflict has crafted generalizable insights permitting out-of-sample predictions of conflict zones. The study region is delimited to 10 countries in Sub-Saharan Africa that experienced full-blown insurgencies in the post-Cold War era.
创建时间:
2023-11-21



