Replication data for: Understanding the Past: Statistical Analysis of Causal Attribution

What proportion of the past militarized disputes between non-democracies would have been prevented had those dyads been democratic? Although political scientists often ask these questions of causal attribution, existing quantitative methods fail to address them.

This paper proposes an alternative statistical methodology based on the widely accepted counterfactual framework of causal inference. The contribution of this paper is threefold. First, the paper clarifies differences between causal attribution and causal effects by specifying the type of research questions to which each quantity is relevant.