Abstract
We use estimates of variance in district-level electoral data as a way to identify multiple dimensions of the nationalization of party support, including “static nationalization” and “dynamic nationalization.” The multilevel model we use—also described as a random coefficient, mixed, growth curve, and hierarchical model—yields estimates of a party's mean national trajectory of electoral support (fixed effects), as well as estimates of variability around the mean trajectory parameters (random effects). Using a general model, we present a two-step approach to first identify electoral variability and then account for it. We develop the model, apply it to three political parties, demonstrate its behavior under controlled conditions using data we create, and demonstrate its application for explanatory purposes.
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