Reassessing the Role of Theory and Machine Learning in Forecasting Civil Conflict
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DOI: 10.1177/0022002720982358
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References listed on IDEAS
- Fariss, Christopher J. & Jones, Zachary M., 2018. "Enhancing Validity in Observational Settings When Replication is Not Possible," Political Science Research and Methods, Cambridge University Press, vol. 6(2), pages 365-380, April.
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- Robert A. Blair & Nicholas Sambanis, 2021. "Is Theory Useful for Conflict Prediction? A Response to Beger, Morgan, and Ward," Journal of Conflict Resolution, Peace Science Society (International), vol. 65(7-8), pages 1427-1453, August.
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Keywords
civil wars; replication; modeling; internal armed conflict; prediction; forecasting; civil war;All these keywords.
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