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Female Representation and Legitimacy: Evidence from a Harmonized Experiment in Jordan, Morocco, and Tunisia

Published online by Cambridge University Press:  27 April 2023

KRISTEN KAO*
Affiliation:
University of Gothenburg, Sweden
ELLEN LUST*
Affiliation:
University of Gothenburg, Sweden
MARWA SHALABY*
Affiliation:
University of Wisconsin–Madison, United States
CHAGAI M. WEISS*
Affiliation:
Stanford University, United States
*
Kristen Kao, Docent, Department of Political Science, University of Gothenburg, Sweden, kristen.kao@gu.se.
Ellen Lust, Professor, Department of Political Science, University of Gothenburg, Sweden, ellen.lust@gu.se.
Marwa Shalaby, Assistant Professor, Departments of Gender and Women’s Studies and Political Science, University of Wisconsin–Madison, United States, marwa.shalaby@wisc.edu.
Chagai M. Weiss, Postdoctoral Fellow, Conflict and Polarization Initiative, Stanford King Center on Global Development, Stanford University, United States, cmweiss@stanford.edu.
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Abstract

How does the gender composition of deliberative committees affect citizens’ evaluations of their decision-making processes? Do citizens perceive decisions made by gender-balanced, legislative bodies as more legitimate than those made by all-male bodies? Extant work on the link between women’s descriptive representation and perceptions of democratic legitimacy in advanced democracies finds the equal presence of women legitimizes decision-making. However, this relationship has not been tested in more patriarchal, less democratic settings. We employ survey experiments in Jordan, Morocco, and Tunisia to investigate how citizens respond to gender representation in committees. We find that women’s presence promotes citizens’ perceptions of the legitimacy of committee processes and outcomes and, moreover, that pro-women decisions are associated with higher levels of perceived legitimacy. Thus, this study demonstrates the robustness of findings from the West regarding gender representation and contributes to the burgeoning literature on women and politics.

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Letter
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. Experimental Sites in Cross-National PerspectiveNote: Figure (a) reports the average levels of agreement with the statement that men make better politicians than women. Data come from the sixth wave of the World Values Survey (World Values Survey Association 2020). Figure (b) reports 2021 electoral democracy scores per country collected by V-dem (Coppedge et al. 2021).

Figure 1

Figure 2. ATEs on Agreement that Committee Made the Right DecisionNote: This figure reports the average treatment effect (ATE) of gender-balance and committee-decision treatments on a scale measuring beliefs that the committee made the right decision. See Appendix C.1 of the Supplementary Material for full model.

Figure 2

Figure 3. ATEs on Attitudes toward the CommitteeNote: This figure reports the average treatment effect (ATE) of our gender-balance and committee decision treatments on a scale measuring attitudes toward the committee. See Appendix C.2 of the Supplementary Material for full model.

Figure 3

Figure 4. ATEs on Belief that the Public Will Accept the Committee’s DecisionNote: This figure reports the average treatment effect (ATE) of our gender-balance and committee decision treatments on the respondent’s belief that the public will accept the committee’s decision. See Appendix C.3 of the Supplementary Material for full model.

Figure 4

Figure 5. Effect of Gender Balance Conditional on Committee DecisionNote: These plots consider the interaction effect of both our treatments on our three main outcomes. See Appendix C.4 of the Supplementary Material for full model.

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Kao et al. Dataset

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Kao et al. supplementary material

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