The DOI matches its Crossref record; 78 of the 78 references it cites were found in a registry or an index.
What Have We Learned about Gender from Candidate Choice Experiments? A Meta-Analysis of Sixty-Seven Factorial Survey Experiments
Abstract
Candidate choice survey experiments in the form of conjoint or vignette experiments have become a standard part of the political science toolkit for understanding the effects of candidate characteristics on vote choice. We collect 67 such studies from all over the world and reanalyze them using a standardized approach. We find that the average effect of being a woman (relative to a man) is a gain of approximately 2 percentage points. We find some evidence of heterogeneity across contexts, candidates, and respondents. The difference is somewhat larger for white (vs. black) candidates and among survey respondents who are women (vs. men) or, in the US context, identify as Democrats or Independents (vs. Republicans). Our results add to the growing body of experimental and observational evidence that voter preferences are not a major factor explaining the persistently low rates of women in elected office.
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Cites
Mapping the Margins: Intersectionality, Identity Politics, and Violence against Women of Color
Crenshaw, K. (1991) · Stanford Law Review · doi:10.2307/1229039 · Cited by 32,792
An Economic Theory of Democracy.
Banfield, E. C., & Downs, A. (1958) · Midwest Journal of Political Science · doi:10.2307/2109186 · Cited by 18,594
Kenny, A. (2018) · Carl Strehlow’s 1909 Comparative Heritage Dictionary: An Aranda, German, Loritja and Dieri to English Dictionary with Introductory Essays · doi:10.22459/cschd.08.2018.04 · Cited by 3,216
Hainmueller, J., Hopkins, D. J., & Yamamoto, T. (2014) · Political Analysis · doi:10.1093/pan/mpt024 · Cited by 1,990 · cited 2×
“When subjects rate multiple candidate pro fi les, we follow standard practice in the analysis of conjoint experiments and cluster our standard errors by re-spondent (Hainmueller et al. 2014).”
BackgroundMethodAn Economic Model of Representative Democracy
Besley, T., & Coate, S. (1997) · The Quarterly Journal of Economics · doi:10.1162/003355397555136 · Cited by 1,649
The Reasoning Voter: Communication and Persuasion in Presidential Campaigns.
Feld, S. L., & Popkin, S. L. (1992) · Contemporary Sociology · doi:10.2307/2075855 · Cited by 1,524
Gender Stereotypes and the Perception of Male and Female Candidates
Huddy, L., & Terkildsen, N. (1993) · American Journal of Political Science · doi:10.2307/2111526 · Cited by 1,385
Experimenter demand effects in economic experiments
Zizzo, D. J. (2010) · Experimental Economics · doi:10.1007/s10683-009-9230-z · Cited by 1,194
Gender Stereotypes and Vote Choice
Sanbonmatsu, K. (2002) · American Journal of Political Science · doi:10.2307/3088412 · Cited by 836
Race and Gender Cues in Low-Information Elections
Mcdermott, M. L. (1998) · Political Research Quarterly · doi:10.1177/106591299805100403 · Cited by 744
Metadata
- Authors
- Schwarz, S., & Coppock, A.
- Venue
- The Journal of Politics
- Publisher
- University of Chicago Press
- Published
- 2022-04-01
- Volume
- 84
- Issue
- 2
- Pages
- 655-668
- ISSN
- 0022-3816 (ISSN-L)
- 1468-2508
- OpenAlex
- W3183892221
- Cited by
- 269
- References
- 78
- FWCI
- 10.28
- Type
- journal article
- Language
- en
- Open access
- closed
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