
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.

| Do Gender Quotas Hurt Less Privileged Groups? Evidence From India was authored by Varun Karekurve-Ramachandra and Alexander Lee. It was published by Wiley in AJPS in 2020. |
