Description Usage Format Details Source References Examples
Does Catholic schooling causally effect outcomes, e.g. wages, later in the life? This data is extracted from a longitudinal study of high school graduates in 1957 in Wisconsin.
1 | data("wls")
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A data frame with 4469 observations on the following 24 variables.
idpub
Public id from wls.
gwiiq_bm
Student's IQ
edfa57q
Father's education
edmo57q
Mother's education
bmpin1
Parent's income
ocsf57
occupation score
ocpf57
occupational prestige score
incg400
Parent's income in the top 1%
incg250
Parent's income in the top 5%
relfml
Catholic religion. TRUE = Catholic; FALSE = Non-Catholic
res57
A numeric code of area of residence of the graduate.
hsdm57
TRUE = Catholic schooling; FALSE = Public schooling.
edfa57q.miss
logical vector indicating whether edfa57q is missing.
edmo57q.miss
logical vectors indicating whether edmo57q is missing.
bmpin1.miss
logical vectors indicating whether bmpin1 is missing.
ocsf57.miss
logical vectors indicating whether ocsf57 is missing.
ocpf57.miss
logical vectors indicating whether ocpf57 is missing.
res57Dic
Urban or Rural. TRUE = Urban; FALSE = Rural.
edfa57q.NoNA
Father's education with NAs replaced by the average.
edmo57q.NoNA
Mother's education with NAs replaced by the average.
bmpin1.NoNA
Parent's income with NAs replaced by the average.
ocsf57.NoNA
Occupation score with NAs replaced by the average.
ocpf57.NoNA
Occupational prestige score with NAs replaced by the average.
yrwg74
1974 Graduate's wages and salaries in \$100's last year.
This data set is constructed out of publicly available variables of Wisconsin Longitudinal Study. Only male graduates are considered. For more detailed description of the variables see https:// www.ssc.wisc.edu/ wlsresearch/ documentation/.
Wisconsin Longitudinal Study, https://www.ssc.wisc.edu/wlsresearch/
Herd, Pamela, Deborah Carr, and Carol Roan. 2014. "Cohort Profile: Wisconsin Longitudinal Study (WLS)." International Journal of Epidemiology 43:34–41 PMCID: PMC3937969
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