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Representation and the Legislative Enterprise: An Expanded View of Staff Representation

Amanda Rutherford, Jiaen Wu

Politics, Groups, and Identities (2025, online first)

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Overview

Congressional staff are the workhorses of the legislative enterprise, yet research on representation among them has tended to treat staff as a single, undifferentiated group. Less attention has been given to whether and how legislators’ race, gender, and partisanship shape representation across the full organization, from senior aides in Washington to caseworkers in the district. We examine over 180,000 staff contracts from the U.S. House of Representatives between 2005 and 2019, using an AI-assisted classification approach to identify whether each staff member works in the DC or district office and whether they serve in a senior or non-senior position. This lets us trace representation across multiple tiers of the legislative enterprise rather than collapsing them into a single count. We find that female legislators hire more women overall but not more women in senior roles, where decision-making power concentrates, while nonwhite legislators hire substantially more staff of color across every tier. Party, however, exerts the strongest pull—Democrats hire more diverse staff regardless of a member’s own race or gender.

AI-Assisted Job Classification

Congressional job titles are extremely inconsistent (e.g., “Counsel,” “Leg. Correspondent,” “District Aide–Veterans”). To create comparable staff categories, we develop an AI-assisted classification system that:

This method provides a transparent, replicable, and scalable approach to staff classification.

Key Findings

1. Gender-based representation is limited and asymmetric

2. Race-based representation is stronger and more consistent

3. Electoral pressures constrain representation

4. Party identity is a powerful force