Replication Data for: Ticket Splitting in a Nationalized Era

Party loyalty in U.S. congressional elections has reached heights unprecedented in the post-war era. Theories of partisanship as informational cues would predict that ticket splitting from national partisanship should be even more rare in low-information elections. Yet, here I show that ticket splitting in state and local offices is often higher than in Congress. I use cast vote records from voting machines that overcome measurement challenges, and develop a clustering algorithm to summarize such ballot data. For example, about one in three South Carolina Trump voters in 2016 formed a bloc whose probability of ticket splitting is about 5 percent for Congress, but 25 percent for county council and 50 percent for sheriff. I show that a model with candidate valence differentials can explain these patterns: Even in a nationalized era, some voters cross party lines to vote for the more experienced and higher quality candidate in state and local elections.