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Women Grab Back: Exclusion, Policy Threat, and Women’s Political Ambition

Published online by Cambridge University Press:  07 February 2023

AMANDA CLAYTON*
Affiliation:
Vanderbilt University, United States
DIANA Z. O’BRIEN*
Affiliation:
Washington University in St. Louis, United States
JENNIFER M. PISCOPO*
Affiliation:
Occidental College, United States
*
Amanda Clayton, Assistant Professor, Department of Political Science, Vanderbilt University, United States, amanda.clayton@vanderbilt.edu.
Diana Z. O’Brien, Professor, Department of Political Science, Washington University in St. Louis, United States, dzobrien@wustl.edu.
Jennifer M. Piscopo, Associate Professor, Department of Politics, Occidental College, United States, piscopo@oxy.edu.
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Abstract

Previous work suggests that observing women officeholders increases women’s political ambition. Yet, jumps in women’s representation in the United States’ “Years of the Woman”—following the Anita Hill testimonies and the election of Donald Trump—are linked to women’s exclusion from political decision-making. Drawing on focus groups with prospective women candidates, we theorize that exclusion when combined with a gendered policy threat increases women’s political ambition. Using survey experiments replicated across different samples, we show that women who read about an all-male city council poised to legislate on women’s rights report increased ambition compared with their pretreatment ambition levels and to women in other treatment groups. Women’s increased sense of political efficacy drives these results. When women’s rights are not under discussion, men’s overrepresentation does not move (or even depresses) women’s ambition. Seeing the policy consequences of their exclusion causes some women to seek a seat at the table.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of the American Political Science Association
Figure 0

Figure 1. Image Shown to Focus Group Participants. Vice President Mike Pence Meets with the Freedom Caucus on March 23, 2017 to Discuss Repealing Provisions of the Affordable Care Act, Including Maternal Health and Birth Control CoverageSource:https://twitter.com/VP45/status/844977432713146370.

Figure 1

Figure 2. Treatment Effects for Women Respondents on Interest in Hypothetical RaceNote: Error Bars at 95% confidence intervals. See also Model 1 of Table 1.

Figure 2

Table 1. Difference-in-Difference Test for Women Respondents across Three Ambition Measures (Dynata Sample)

Figure 3

Table 2. Difference-in-Difference Test for Men Respondents across Three Ambition Measures (Dynata Sample)

Figure 4

Figure 3. Within-Subject Treatment Effects (Pretreatment vs. Posttreatment) for Women RespondentsNote: Error Bars at 95% confidence intervals. See also Model 2 of Table 1.

Figure 5

Figure 4. Treatment Effects for Women Respondents on Click-Out RatesNote: Error Bars at 95% confidence intervals. See also Model 3 of Table 1.

Figure 6

Figure 5. Treatment Effects for Women Respondents on Interest in Hypothetical Race by Pretreatment Abortion StanceNote: Error Bars at 95% confidence intervals. See also Table SI.3 in the Supplementary Material.

Figure 7

Figure 6. Treatment Effects for Women Respondents on Perceived EfficacyNote: Error Bars at 95% confidence intervals. See also Table 3.

Figure 8

Table 3. Difference-in-Difference Test for Women Respondents for Measures of Efficacy (Dynata Data)

Figure 9

Figure 7. Treatment Effects for Women Respondents on Interest in Hypothetical Race by Pretreatment Entry PreferencesNote: Error Bars at 95% confidence intervals. See also Table SI.3 in the Supplementary Material.

Figure 10

Figure 8. Conditional Average Treatment Effects for Women Respondents on Interest in Hypothetical Race by Party IdentificationNote: Error Bars at 95% confidence intervals. The dot size represents sample size in each group. See also Table SI.5 in the Supplementary Material.

Figure 11

Figure 9. Conditional Treatment Effects for Women Respondents on Interest in Hypothetical Race by Respondent Race/EthnicityNote: Error Bars at 95% confidence intervals. See also Table SI.6 in the Supplementary Material.

Figure 12

Table 4. Replication using CES Data. Difference-in-Difference Test for Women Respondents (Model 1) and Men Respondents (Model 2) on Interest in Running for the Race Described in the Experimental Vignette

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