twa {micsr} | R Documentation |
Temporary help jobs and permanent employment
Description
a cross-section of 2030 individuals
Format
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"
Source
Journal of Applied Econometrics Data Archive : http://qed.econ.queensu.ca/jae/
References
Ichino A, Mealli F, Nannicini T (2008). “From Temporary Help Jobs to Permanent Employment: What Can We Learn from Matching Estimators and Their Sensitivity?” Journal of Applied Econometrics, 23(3), 305–327.