The Militarized Interstate Dispute Dataset: Putting Things in Perspective

In their latest research note in our ongoing dialogue about the Militarized Interstate Dispute (MID) dataset, Gibler, Miller, and Little (GML) reiterate their concerns about a high error rate in the MID dataset and challenge our prior replication studies, which showed that GML's recommended changes to the dataset caused few substantive changes in the core findings of two published studies. In this rejoinder, we offer further explanation of our decision-making, put GML's claims about the error rate in context, defend our replication methodology and results, and offer advice for MID dataset users.