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.
idpubPublic id from wls.
gwiiq_bmStudent's IQ
edfa57qFather's education
edmo57qMother's education
bmpin1Parent's income
ocsf57occupation score
ocpf57occupational prestige score
incg400Parent's income in the top 1%
incg250Parent's income in the top 5%
relfmlCatholic religion. TRUE = Catholic; FALSE = Non-Catholic
res57A numeric code of area of residence of the graduate.
hsdm57TRUE = Catholic schooling; FALSE = Public schooling.
edfa57q.misslogical vector indicating whether edfa57q is missing.
edmo57q.misslogical vectors indicating whether edmo57q is missing.
bmpin1.misslogical vectors indicating whether bmpin1 is missing.
ocsf57.misslogical vectors indicating whether ocsf57 is missing.
ocpf57.misslogical vectors indicating whether ocpf57 is missing.
res57DicUrban or Rural. TRUE = Urban; FALSE = Rural.
edfa57q.NoNAFather's education with NAs replaced by the average.
edmo57q.NoNAMother's education with NAs replaced by the average.
bmpin1.NoNAParent's income with NAs replaced by the average.
ocsf57.NoNAOccupation score with NAs replaced by the average.
ocpf57.NoNAOccupational prestige score with NAs replaced by the average.
yrwg741974 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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