| gender4 {callback} | R Documentation |
Gender/Maternity discrimination (plumbers)
Description
The data were collected by the TEPP team (FR CNRS 2042) between February and July 2015. A candidate is defined by the variables ("gender","educ").
offer: add number.
gender: Woman or Man.
age: 23 or 24 years old.
fname: first name (forename).
lname: last name (family name, surname).
educ: education, CAP = vocational training certificate before the A level, MAF = CAP + "One of the best French apprentice", OLY = CAP + participation to the Worldskills Competition.
zip: ZIP code.
cont: length of labour contract, STC = short term contract (<=1 year), LTC = long term contract (>1 year with no ending date).
recgender: gender of the recruiter.
cv: CV template, A or B.
ansmode: answering channel, email or ordinary mail ("omail").
sentorder: order in which the application was sent.
hours: weekly work time.
callback: TRUE if there was a non negative callback.
date: between February and July 2015.
Usage
data(gender4)
Format
A data frame with 1152 rows and 15 variables
References
Duguet E., du Parquet L., Petit P. (2022). Extracting the discrimination components from the callback rates". TEPP Working Paper 2022-15.
Duguet, E., du Parquet, L. & Petit, P. (2022). Révéler les composantes de la discrimination à partir des taux de rappel. Revue française d'économie, XXXVII, 233-268.