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Does Exposure to Gender Role Models Increase Women’s Political Ambition? A Field Experiment with Politicians

Published online by Cambridge University Press:  07 August 2019

Florian Foos
Affiliation:
Department of Government, London School of Economics and Political Science, Houghton Street, London WC2A 2AE, United Kingdom, e-mail: f.foos@lse.ac.uk, http://www.florianfoos.net, Twitter: @florianfoos
Fabrizio Gilardi
Affiliation:
Department of Political Science, University of Zurich, 8050 Zürich, Switzerland, e-mail: gilardi@ipz.uzh.ch, http://www.fabriziogilardi.org, Twitter: @fgilardi
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Abstract

There is a persistent gender gap in motivations to run for political office. While exposure to role models is widely believed to increase women’s political ambition, there is little field experimental evidence on whether exposure to female politicians in realistic settings can increase political ambition. We conducted a field experiment in which a sample of 612 female students was randomly assigned to receive emails inviting them to an event that included career workshops with female politicians, or no email. The treatment increased interest in the ongoing national election campaign, but, against expectations, did not have any positive effect on political ambition. Our results suggest that female politicians who discuss their experience bluntly, instead of following a motivational script, may fail to motivate other women to pursue a political career. These results highlight the need for more research into the type of events and messages that bring more women into politics.

Information

Type
Research Article
Copyright
© The Experimental Research Section of the American Political Science Association 2019
Figure 0

Table 1 Political interest: 0–10 scale; know male candidates: 0–1 scale; know female candidates: 0–1 scale; ambition: 0–4 scale

Figure 1

Table 2 Applied to mentoring program (1 = yes, 0 = no); “could see myself running for office in a few years” (0–4 scale); 95% confidence intervals in brackets; generalized difference estimator for ITT (Aronow and Middleton, 2013)

Figure 2

Table 3 Applied to mentoring program (1 = yes, 0 = no); “could see myself running for office in a few years” (0–4 scale); 95% confidence intervals in brackets; 2SLS for CACE, HC2 standard errors

Figure 3

Table 4 “How often have you followed the news about the election campaign,” 0–6 scale; “how frequently did you follow the campaign online?,” 0–6 scale; and “which politicians got directly elected in the first round of the Swiss Federal Senate election?” 95% confidence intervals in brackets; generalized difference estimator for ITT, 2SLS for CACE, HC2 standard errors

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Foos and Gilardi Dataset

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