Clayton (2018)
C18.Rd
Study by A. Clayton in Lesotho "to test whether citizens express less gender bias after 6-years of exposure to quota-elected women village representatives". The data are clustered by village and electoral district.
Format
A data frame with 101 rows and 7 variables:
age
[integer] age of respondant
female
[integer] indicator variable, 1 if female, 0 otherwise
village
[factor] village name
ED
[integer] electoral division code
quota
[integer] experimental condition, whether a gender quota is enforced (1) or not (0)
dscore
[double] d-score for Implicit Association Tests (IAT)
under25
[integer] indicator variable, 1 if the person is 25 or under, 0 otherwise
Source
Harvard Dataverse, https://doi.org/10.7910/DVN/JGGUZE, licensed under CC0 1.0
References
Clayton, A. (2018). Do Gender Quotas Really Reduce Bias? Evidence from a Policy Experiment in Southern Africa. Journal of Experimental Political Science, 5(3), 182-194. https://doi.org/10.1017/XPS.2018.8