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Reassessing the democratic advantage in interstate wars using k-adic datasets

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  • Jacob Ausderan

Abstract

Numerous studies have used monadic or dyadic data to show that democracies are more likely to win wars. Poast (2010; Political Analysis 18(4): 403–425) demonstrates that the use of dyadic data to model events that are really multilateral (or k -adic) can bias the statistical results. In this article, I discuss the potential consequences of that bias for previous studies on democracy and war outcomes. Then I replicate some of those studies using modified, k -adic versions of the original datasets. Finally, I conduct an original analysis using the updated dataset on wars by Reiter et al. (2014a; Journal of Conflict Resolution ; doi: 10.1177/0022002714553107). Overall, I find several changes when using k -adic data. Most significantly, the relationship between democracy and war outcomes appears to be strongest for states that join the war effort after it has already started.

Suggested Citation

  • Jacob Ausderan, 2018. "Reassessing the democratic advantage in interstate wars using k-adic datasets," Conflict Management and Peace Science, Peace Science Society (International), vol. 35(5), pages 451-473, September.
    • Handle: RePEc:sae:compsc:v:35:y:2018:i:5:p:451-473
    DOI: 10.1177/0738894216653601
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    References listed on IDEAS

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    1. Signorino, Curtis S., 1999. "Strategic Interaction and the Statistical Analysis of International Conflict," American Political Science Review, Cambridge University Press, vol. 93(2), pages 279-297, June.
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