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To Emerge? Breadwinning, Motherhood, and Women’s Decisions to Run for Office

Published online by Cambridge University Press:  17 November 2020

RACHEL BERNHARD*
Affiliation:
University of California, Davis
SHAUNA SHAMES*
Affiliation:
Rutgers University, Camden
DAWN LANGAN TEELE*
Affiliation:
University of Pennsylvania
*
Rachel Bernhard, Assistant Professor, Department of Political Science, University of California, Davis, ribernhard@ucdavis.edu.
Shauna Shames, Associate Professor, Department of Political Science, Rutgers University, Camden, shauna.shames@rutgers.edu.
Dawn Langan Teele, Associate Professor, Department of Political Science, University of Pennsylvania, teele@upenn.edu.
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Abstract

Women’s underrepresentation in American politics is often attributed to relatively low levels of political ambition. Yet scholarship still grapples with a major leak in the pipeline to power: that many qualified and politically ambitious women decide against candidacy. Focusing on women with political ambition, we theorize that at the final stage of candidate emergence, household income, breadwinning responsibilities, and household composition are interlocking obstacles to women’s candidacies. We examine these dynamics through a multimethod design that includes an original survey of women most likely to run for office: alumnae of the largest Democratic campaign training organization in the United States. Although we do not find income effects, we provide evidence that breadwinning—responsibility for a majority of household income—negatively affects women’s ambition, especially for mothers. These findings have important implications for understanding how the political economy of the household affects candidate emergence and descriptive representation in the United States.

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Research Article
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Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of the American Political Science Association
Figure 0

Figure 1. Study Group, Sample, and the Dependent Variable—the Decision to Run among Political NovicesNote: The percentages listed refer to the share in each category of total respondents. Overall, the 32% of total respondents that ran after the training represents 39% of all novices.

Figure 1

Table 1. Qualitative Data Coded from Open-Ended Answers

Figure 2

Figure 2. Deterrent Factors in Candidate EmergenceNote: Coding is of open-ended data from political novices; answers could be coded into multiple categories.

Figure 3

Figure 3. Among Political Novices, Breadwinners are Less Likely to Run (left panel), but Income is Uncorrelated with Emergence (right panel)Note: The average run rate by breadwinning and income categories, reported with 95% confidence intervals calculated via OLS (for novices only). The number of respondents is reported in the bubble below each category. Appendix C-4 replicates these plots with all respondents, showing that the results hold (and strengthen) when all graduates are included.

Figure 4

Figure 4. In Regressions with Controls, Household Contribution (i.e., Breadwinning) Lowers Run Rates among Novices, but Income Does NotNote: Coefficient plots present separate OLS regressions showing how the probability of running among political novices (x-axis) is correlated with breadwinning (left column, n = 598) and income (right column, n = 562). Successive rows show how these correlations change when more variables are added to the regression cumulatively. Appendix C-3 finds similar results in noncumulative regressions, and Appendix C-2 shows the effects hold using logistic regressions.

Figure 5

Figure 5. Fears of Lost Income Depress Candidate Emergence among NovicesNote: Coefficient plots report predicted change in run rates based on fear of lost income using OLS with 95% confidence intervals. Only novices are included. As in Figure 4, each row adds different covariates to the preceding row’s model.

Figure 6

Figure 6. Testing for an Interaction Effect: Household Composition Matters for Candidate EmergenceNote: Run rates across degree of breadwinning responsibility predicted using bivariate logistic regressions, reported with 95% confidence intervals. Only novices are included. Single respondents may not be sole contributors to household income if they are students, widows, divorced, or have other access to wealth.

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