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Do Gender Quotas Really Reduce Bias? Evidence from a Policy Experiment in Southern Africa

Published online by Cambridge University Press:  10 April 2018

Amanda Clayton*
Affiliation:
Department of Political Science, Vanderbilt University, Nashville, TN 37235, USA, e-mail: amanda.clayton@vanderbit.edu
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Abstract

A well-documented policy experiment reserving seats for women village leaders in India suggests quotas decrease citizens’ gender stereotypes and increase career aspirations and educational attainment for young women and girls. But do these results generalize to cases outside of India? And how long must quotas be in place to observe the positive effects of women’s leadership? I present data from a similar policy experiment in the southern African nation of Lesotho to test whether citizens express less gender bias after 6-years of exposure to quota-elected women village representatives. Relying on surveys and data from in-field Implicit Association Tests, I find no evidence that the quota reduced average measures of citizen gender bias, although I do find weak evidence that the quota caused young women in particular to exhibit more gender-egalitarian attitudes, both explicit and implicit.

Information

Type
Research Article
Copyright
Copyright © The Experimental Research Section of the American Political Science Association 2018 
Figure 0

Table 1 Total Sample Reservation ATEs

Figure 1

Figure 1 Marginal Effects of Quota on Explicit Gender Bias by Subgroup. Higher Values Associated with More GenderEgalitarian Attitudes. Robust Standard Errors Clustered by ED. Confidence Intervals Around Estimates Calculated at the 98.75% Level to Correct for Multiple Tests. Num. Obs = 498 Men and 498 Women.

Figure 2

Table 2 D-Score Responses to IATs for Whole Sample and Men and Women Respondents Separately

Figure 3

Table 3 D-Score Responses to IATS: Model-Based Estimates of Age and Gender CATEs. Robust Standard Errors Clustered by ED

Figure 4

Figure 2 Marginal Effects of Quota on Implicit Gender Bias by Subgroup. Lower D-Scores Associated with Less Implicit Bias. Robust Standard Errors Clustered by ED. Confidence Intervals Around Estimates Calculated at the 98.75% Level to Correct for Multiple Tests. Num. Obs = 51 Women and 50 Men.

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