This article investigates how gender quotas impact the representation of multiple disadvantaged groups.
Data & Methods:
- Regression analysis was used to examine data from Delhi constituencies with and without random female electoral quotas implemented between 1993-2018.
*Key Findings:
- Quotas reduced descriptive representation for traditionally underprivileged castes (especially OBCs).
- Quota seats were more likely filled by candidates from privileged Hindu upper castes.
Real-World Relevance:
- The findings highlight the complex trade-offs in designing multi-dimensional representation policies.
