Explaining Post-Cold-War Civil Conflict among 17 Billion Models: The Importance of History and Religion

Michael Jetter, Rafat Mahmood (), Christopher Parmeter and Andrés Ramírez Hassan ()
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Rafat Mahmood: Monash University

No 13511, IZA Discussion Papers from Institute of Labor Economics (IZA)

Abstract: Model uncertainty remains a persistent concern when exploring the drivers of civil conflict and civil war. Considering a comprehensive set of 34 potential determinants in 175 post-Cold-War countries (covering 98.2% of the world population), we employ stochastic search variable selection (SSVS) to sort through all 234 possible models. Looking across both cross-sectional and panel data, three robust results emerge. First, past conflict constitutes the most powerful predictor of current conflict: path dependency matters. Second, larger shares of Jewish, Muslim, or Christian citizens are associated with increased chances of conflict incidence and onset - a result that is independent of religious fractionalization, polarization, and dominance. Third, economic and political factors remain less relevant than colonial origin and religion. These results lend credence to several existing schools of thought on civil conflict and provide new avenues for future research.

Keywords: greed versus grievances; stochastic search variable selection (SSVS); civil war; civil conflict; religion and conflict (search for similar items in EconPapers)
JEL-codes: D74 F54 Q34 Z12 (search for similar items in EconPapers)
Pages: 44 pages
Date: 2020-07
New Economics Papers: this item is included in nep-big and nep-his
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Citations: View citations in EconPapers (1)

Published - published as 'Post-Cold War civil conflict and the role of history and religion: A stochastic search variable selection approach' in: Economic Modelling, 2022, 114, 105907

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