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Replication Data for: Regions at Risk: Predicting Conflict Zones in African Insurgencies

Domain:

peace and security

Record type:

dataset
Creator:
Sch
Editor:
SchSch
Publisher:
Har
Host:avatar
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.

Visit

doi.orgdataverse.harvard.edu

Tags

Social SciencesCivil War, Insurgency, GIS, Prediction, Conflict Event

Licenses

info:eu-repo/semantics/openAccessCreative Commons Zero v1.0 Universalhttps://creativecommons.org/publicdomain/zero/1.0/legalcode

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Regions at Risk: Predicting Conflict Zones in African Insurgencies

Regions at Risk: Predicting Conflict Zones in African Insurgencies

A method for predicting conflict zones in civil wars based on point process models is presented in t