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Replication Data for: Crossing the Line: Evidence for the categorization theory of spatial voting

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Replication Data for: Crossing the Line: Evidence for the categorization theory of spatial voting
 
Identifier https://doi.org/10.7910/DVN/X5AQO6
 
Creator Pickup, Mark
Kimbrough, Erik O.
De Rooij, Eline A.
 
Publisher Harvard Dataverse
 
Description Bølstad and Dinas (2017) propose a model of spatial voting, based on social identity theory, that suggests supporting a candidate/policy on the other side of the ideological spectrum has a disutility that is not accounted for by common spatial-models. Unfortunately, the data they use cannot speak directly to whether the disutility arises because individuals perceive their ideology as a social identity. We present the results of an experimental study that measures the norm against crossing the ideological spectrum; tests the cost of doing so, controlling for spatial effects; and demonstrates that this cost increases with the salience and strength of identity norms. By demonstrating the norm mechanism for the disutility of crossing the ideological spectrum, we provide strong support for B&D’s model.
 
Subject Social Sciences
 
Date 2023-10-10
 
Contributor Pickup, Mark