a cross-section of 2030 individuals
a tibble containing:
id: identification code
age: age
sex: a factor with levels "female" and "male"
marital: marital status, "married" or "single"
children: number of children
feduc: father's education
fbluecol: father blue-color
femp: father employed at time 1
educ: years of education
pvoto: mark in last degree as fraction of max mark
training: received professional training before treatment
dist: distance from nearest agency
nyu: fraction of school-to-work without employment
hour: weekly hours of work
wage: monthly wage
hwage: hourly wage at time 1
contact: contacted a temporary work agency
region: one of "Tuscany" and "Sicily"
city: the city
group: one of "control" and "treated"
sector: the sector
occup: occupation, one of "nojob", "selfemp", "bluecol" and "whitecol"
empstat: employment status, one of "empl", "unemp" and "olf" (out of labor force)
contract: job contract, one of "nojob", "atyp" (atypical) and "perm" (permanent)
loc: localisation, one of "nord", "centro", "sud" and "estero"
outcome: one of "none", "other", "fterm" and "perm"
ICHI:MEAL:NANN:08micsr