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Why Women Earn High Marks: Examining the Role of Partisanship and Gender in Political Evaluations

Published online by Cambridge University Press:  14 May 2021

Lindsey Cormack
Affiliation:
Stevens Institute of Technology
Kristyn L. Karl
Affiliation:
Stevens Institute of Technology
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Abstract

We present the results of a randomized survey experiment demonstrating that the public evaluates women politicians more highly than men across multiple characteristic assessments. This finding is consistent with a recent wave of research indicating greater preferences for women politicians. Which respondents rate women politicians more highly, and why? We find that women and younger voters do not account for the greater marks given to women politicians. Instead, respondent partisanship and the presumed partisanship of the politician account for a great deal of our findings, with gender playing a complicating role. Democratic and Republican respondents are apt to project their own partisanship onto politicians, and across both parties, we find higher assessments for co-partisan politicians and for women politicians. On the whole, women politicians are evaluated on par with or significantly higher than men politicians across six characteristics, scoring especially well relative to men when politicians are presumed to be members of the opposing party and when traditionally feminine characteristics are assessed.

Information

Type
Research Article
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of the Women, Gender, and Politics Research Section of the American Political Science Association
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Table 1. SSI (national) sample descriptive statistics

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Figure 1. Politician assessments by gender (June 2018 national sample, n = 1,397)

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Figure 2. Women in Congress by party (92nd–116th Congresses)

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Figure 3. (a) Politician assessments, men respondents only (June 2018 national sample, n = 650). (b) Politician assessments, women respondents only (June 2018 national sample, n = 738).

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Table 2. Difference-in-difference estimations across respondent sex

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Figure 4. (a) Politician assessments, Democratic respondents only (June 2018 national sample, n = 639). (b) Politician assessments, Republican respondents only (June 2018 national sample, n = 636).

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Table 3. Difference-in-difference estimations across respondent partisanship

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Table 4. Respondent projection of partisanship onto politicians by respondent and politician type

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Figure 5. Likelihood that a respondent projected their own partisanship onto a politician: by politician gender and respondent partisanship. The full model is presented in Table A1 in the appendix.

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Table 5. Politician assessment by respondent characteristics, party presumption and politician sex (ordinary least squares)

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Figure 6. Marginal effects by presumed shared party ID and politician sex.

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