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Methodological Workflow

In: Identifying the Complex Causes of Civil War

Author

Listed:
  • Atin Basuchoudhary

    (Virginia Military Institute)

  • James T. Bang

    (Saint Ambrose University)

  • John David

    (Virginia Military Institute)

  • Tinni Sen

    (Virginia Military Institute)

Abstract

This chapter describes a formal methodological sequence of events that allows us to interpret hitherto “black-box” machine learning algorithmic outcomes as the effect of some cause. While we apply this methodological workflow to understanding the causes of civil conflict, it can help answer many questions in economics and political science. We use the backdoor criteria to help determine causal impacts and introduce the idea of empirically informed covariate selection to guide the researcher to fulfill these criteria reasonably. Last we suggest that predictive accuracy is a critical element in highlighting the nature of the causal impact.

Suggested Citation

  • Atin Basuchoudhary & James T. Bang & John David & Tinni Sen, 2021. "Methodological Workflow," Springer Books, in: Identifying the Complex Causes of Civil War, chapter 0, pages 29-47, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-81993-4_3
    DOI: 10.1007/978-3-030-81993-4_3
    as

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