Replication Data for: Combining Behavioral and Structural Predictors of Violent Civil Conflict: Getting Scholars and Policymakers to Talk to Each Other, International Studies Quarterly (2017) 61 (1): 28-37.
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Large-N studies of civil war overwhelmingly consider the state-specific structural conditions that make conflict likely. Meanwhile, policymakers often ignore these factors and instead search for patterns among the behavioral triggers of violence. This article combines these approaches. I use conflict narratives from the International Crisis Group’s CrisisWatch publications to cross-validate structural analyses of civil conflict and confirm the mechanisms that lead to outbreaks of violence in conflict-prone countries. I then correct for selection bias in the narrative data with an underlying model of conflict likelihood. I find that several indicators thought to be causally related to civil conflict do indeed continue to have an effect after selection. However, the narrative data overemphasizes both the importance of several low-intensity' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["civil wars","conflict"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Large-N studies of civil war overwhelmingly consider the state-specific structural conditions that make conflict likely. Meanwhile, policymakers often ignore these factors and instead search for patterns among the behavioral triggers of violence. This article combines these approaches. I use conflict narratives from the International Crisis Group’s CrisisWatch publications to cross-validate structural analyses of civil conflict and confirm the mechanisms that lead to outbreaks of violence in conflict-prone countries. I then correct for selection bias in the narrative data with an underlying model of conflict likelihood. I find that several indicators thought to be causally related to civil conflict do indeed continue to have an effect after selection. However, the narrative data overemphasizes both the importance of several low-intensity' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Large-N studies of civil war overwhelmingly consider the state-specific structural conditions that make conflict likely. Meanwhile, policymakers often ignore these factors and instead search for patterns among the behavioral triggers of violence. This article combines these approaches. I use conflict narratives from the International Crisis Group’s CrisisWatch publications to cross-validate structural analyses of civil conflict and confirm the mechanisms that lead to outbreaks of violence in conflict-prone countries. I then correct for selection bias in the narrative data with an underlying model of conflict likelihood. I find that several indicators thought to be causally related to civil conflict do indeed continue to have an effect after selection. However, the narrative data overemphasizes both the importance of several low-intensity
civil wars; conflict