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Every Story Has a Beginning, Middle, and an End (But Not Always in That Order): Predicting Duration Dynamics in a Unified Framework

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  • Chiba, Daina
  • Metternich, Nils W.
  • Ward, Michael D.

Abstract

There are three fundamental duration dynamics of civil conflicts: time until conflict onset, conflict duration, and time until conflict recurrence. Theoretical and empirical models of war usually focus on one or at most two aspects of these three important duration dynamics. We present a new split-population seemingly unrelated duration estimator that treats pre-conflict duration, conflict duration, and post-conflict duration as interdependent processes thus permitting improved predictions about the onset, duration, and recurrence of civil conflict. Our findings provide support for the more fundamental idea that prediction is dependent on a good approximation of the theoretically implied underlying data-generating process. In addition, we account for the fact that some countries might never experience these duration dynamics or become immune after experiencing them in the past.

Suggested Citation

  • Chiba, Daina & Metternich, Nils W. & Ward, Michael D., 2015. "Every Story Has a Beginning, Middle, and an End (But Not Always in That Order): Predicting Duration Dynamics in a Unified Framework," Political Science Research and Methods, Cambridge University Press, vol. 3(3), pages 515-541, September.
  • Handle: RePEc:cup:pscirm:v:3:y:2015:i:03:p:515-541_00
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    Cited by:

    1. Andreas Beger & Richard K. Morgan & Michael D. Ward, 2021. "Reassessing the Role of Theory and Machine Learning in Forecasting Civil Conflict," Journal of Conflict Resolution, Peace Science Society (International), vol. 65(7-8), pages 1405-1426, August.
    2. Minnie M. Joo & Brandon Bolte & Nguyen Huynh & Bumba Mukherjee, 2023. "Bayesian Spatial Split-Population Survival Model with Applications to Democratic Regime Failure and Civil War Recurrence," Mathematics, MDPI, vol. 11(8), pages 1-23, April.
    3. 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.
    4. Jun Xiang, 2017. "Dyadic Effects, Relevance, and the Empirical Assessment of the Kantian Peace," International Interactions, Taylor & Francis Journals, vol. 43(2), pages 248-271, March.

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