Replication Data for: Descriptive Representation in an Era of Polarization
收藏DataCite Commons2025-05-11 更新2025-05-17 收录
下载链接:
https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/XTBKSC
下载链接
链接失效反馈官方服务:
资源简介:
Studies of descriptive representation find that voters more positively evaluate representatives who share their ascriptive characteristics. I argue that this pattern can be upended when voters develop more positive affect towards outgroups. In the United States, Democrats have increasingly expressed more positive views towards marginalized groups, while Republicans’ attitudes about these groups have not shifted. Under such conditions, my argument predicts that the effect of representatives’ race and gender on constituent evaluations should vary more by constituents’ partisanship than by their own ascriptive characteristics. Applying a difference-in-differences design to 2008-2020 CCES data, I find that Democrats of all backgrounds now approve more highly of Congressmembers from historically marginalized groups, whereas Republicans’ approval is unrelated to Member identity. Democrats also give women and minority representatives leeway to diverge ideologically. These findings demonstrate that polarizing attitudes about race and gender can disrupt classic patterns in how constituents evaluate representatives.
提供机构:
Harvard Dataverse
创建时间:
2024-02-14



