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.