遇见数据集

Replication Data for: Who Counts? Non-Citizen Residents, Spatial Sorting, and Malapportionment

收藏
DataONE2025-04-04 更新2025-11-01 收录
官方服务:

资源简介:

Existing research argues that malapportionment primarily favors rural areas, resulting in conservative biases of electoral systems. In this paper, we provide a new perspective on the study of apportionment processes by identifying the institutional design under which malapportionment may favor other regions. Because of the geographical sorting of non-citizen residents, we argue that regions with high shares of non-citizen residents benefit from populationbased apportionment, whereas the spatial sorting of non-citizens does not affect malapportionment in case of citizen-based apportionment. Empirically, we use sub-national data from ten advanced democracies to forward evidence that differences in apportionment mechanisms and district-level shares of non-citizen residents systematically influence malapportionment. Our findings suggest that the impact of malapportionment on political representation and public policies might be more heterogeneous than previously thought.

创建时间:
2025-10-29
二维码
社区交流群
二维码
科研交流群
商业服务