Replication data for: (Mis)Using Dyadic Data to Analyze Multilateral Events

Scholars, particularly in international relations, often divide the actors in a multilateral event into a series of dyadic relations. Though this practice can dramatically increase the size of datasets, using dyadic data to analyze what are, in reality, k-adic events leads to model misspecification and, inevitably, statistical bias.

In short, one cannot recover a k-adic data generating process using dy-adic data. In this paper, I accomplish three tasks. First, I use Monte Carlo simulations to confirm that analyzing k-adic events with dyadic data produces substantial bias.