Who’s Got the “Best Shot”? Race-Gender Stereotypes and Primary Elections

This article draws on an original dataset of all candidates for the U.S. House (2006–2020) to analyze the impact of both gender and race in primary elections across district competitiveness. I argue that stereotypes related to women’s perceived liberalism can either pose obstacles or prove advantageous depending on the district context, and I ask how these patterns differ when race and intersectionality are integrated into analyses. I first employ single-axis models to examine candidacies and election outcomes for women across party, before turning to an intersectional approach to detect observational evidence of the impact of race-gender stereotyping for white women and women of color candidates. I find that while Democratic women overall win primaries more often in competitive and safe Republican districts, this pattern is driven by white Democratic women succeeding in precisely the districts where one would expect stereotypes about women’s liberalism should disadvantage them. Conversely, both white women and women of color in the Republican Party are more likely to win in safe Democratic districts. My findings broaden our view of when and where identity matters most at the primary stage and call into question conclusions from extant work suggesting voters apply stereotypes that penalize all women candidates.

Authors

Institutions

Publication Details

Journal
Political Research Quarterly
Published
2025-08-30
DOI
https://doi.org/10.1177/10659129251374685
Primary Topic
Gender Politics and Representation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Who’s Got the “Best Shot”? Race-Gender Stereotypes and Primary Elections

Alexandra Snipes
Political Research Quarterly
Gender Politics and Representation
article

Who’s Got the “Best Shot”? Race-Gender Stereotypes and Primary Elections

Alexandra Snipes
article en

Abstract

This article draws on an original dataset of all candidates for the U.S. House (2006–2020) to analyze the impact of both gender and race in primary elections across district competitiveness. I argue that stereotypes related to women’s perceived liberalism can either pose obstacles or prove advantageous depending on the district context, and I ask how these patterns differ when race and intersectionality are integrated into analyses. I first employ single-axis models to examine candidacies and election outcomes for women across party, before turning to an intersectional approach to detect observational evidence of the impact of race-gender stereotyping for white women and women of color candidates. I find that while Democratic women overall win primaries more often in competitive and safe Republican districts, this pattern is driven by white Democratic women succeeding in precisely the districts where one would expect stereotypes about women’s liberalism should disadvantage them. Conversely, both white women and women of color in the Republican Party are more likely to win in safe Democratic districts. My findings broaden our view of when and where identity matters most at the primary stage and call into question conclusions from extant work suggesting voters apply stereotypes that penalize all women candidates.

Political Research QuarterlyVol. 78(4)
Emory University (US)
Openalex Percentile: Top 71%
Gender Politics and Representation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.