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Canvassing the Gatekeepers: A Field Experiment to Increase Women Voters’ Turnout in Pakistan

Published online by Cambridge University Press:  18 May 2022

ALI CHEEMA*
Affiliation:
Lahore University of Management Sciences, Pakistan, and Institute of Development and Economic Alternatives, Pakistan
SARAH KHAN*
Affiliation:
Yale University, United States
ASAD LIAQAT*
Affiliation:
Independent Researcher, United States
SHANDANA KHAN MOHMAND*
Affiliation:
Institute of Development Studies, United Kingdom
*
Ali Cheema, Associate Professor of Economics, School of Humanities and Social Sciences, Lahore University of Management Sciences, Pakistan, and Senior Research Fellow, Institute of Development and Economic Alternatives, Pakistan, ali.cheema@cerp.org.pk.
Sarah Khan, Assistant Professor, Department of Political Science, Yale University, United States, sarah.khan@yale.edu.
Asad Liaqat, worked on this paper while at Harvard University and later as an independent researcher, United States, asadliaqat@gmail.com.
Shandana Khan Mohmand, Research Fellow, Institute of Development Studies, University of Sussex, United Kingdom, s.mohmand@ids.ac.uk.
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Abstract

How can we close persistent gender gaps in political participation? We develop a theory highlighting the role of male household members as “gatekeepers” of women’s participation in patriarchal settings and argue that the answer involves targeting these men. We conduct a field experiment in Pakistan and find that targeting women with a nonpartisan get-out-the-vote campaign has no effect on their turnout in a national election. However, women’s turnout increases substantially when male household members are canvassed to support women’s participation. Households where both men and women are canvassed see the largest increases in women’s turnout and additional increases in political discussion and men’s practical support to help women vote. Using a costly behavioral measure, we also demonstrate lasting effects on men’s supportive behavior in these households two months after the election. Our results address the importance, and tangible benefits, of engaging men to ease constraints that hinder equal participation.

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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), 2022. Published by Cambridge University Press on behalf of the American Political Science Association
Figure 0

Table 1. Expectations of Change in Women’s Political Participation from Short-Term Interventions

Figure 1

Table 2a. Baseline Summary Statistics: Resources, Engagement, and Mobilization

Figure 2

Table 2b. Baseline Summary Statistics: Male Gatekeeping

Figure 3

Table 3. Randomization Scheme

Figure 4

Table 4. Statistical Balance between Treatment and Control Groups

Figure 5

Table 5. Results: Women’s Turnout (ITT)

Figure 6

Figure 1. Randomization Scheme for Behavioral Outcome Measure

Figure 7

Figure 2. Visit Recall, by Treatment Group and Respondent GenderNote: The bars depict the proportion of respondents who answered yes to the question “Did representatives from Aurat Foundation, SAP-PK, or ECP visit your household in the days leading up to the election?” The error bars represent the 95% confidence interval.

Figure 8

Figure 3. Women’s Turnout at the Household Level, ITT by Treatment CategoryNote: Ordinary least squares coefficients from Table 5, Column 1. The thin and thick error bars represent the 90% and 95% confidence interval around the estimate, respectively.

Figure 9

Table 6. Results: Men’s Support for Women’s Role in Democracy

Figure 10

Figure 4. Knowledge, Attitudes, and Behavior ITT by Respondent Gender and Treatment CategoryNote: Estimates are coefficients from ordinary least squares models that include block (Union Council) fixed effects and indicators for within treatment controls and control for individual-level randomizations. The thin and thick error bars represent the 90% and 95% confidence interval around the estimate, respectively.

Figure 11

Table 7. Results: Autonomy Vignettes, ITT Survey Measure Among Women Respondents

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Cheema et al. Dataset

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