Clayton (2018)

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.

Usage

C18

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, doi: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. doi:10.1017/XPS.2018.8