| nlswork {sampleSelection} | R Documentation |
National Longitudinal Survey of Young Working Women
Description
The nlswork data frame contains data about 4711 young working women
who had an age of 14–26 years in 1968.
These data are collected within the "National Longitudinal Survey"
over the years 1968-1988 (with gaps).
There are 28534 observations in total.
Usage
data(nlswork)Format
This data frame contains the following columns:
- idcode
NLS ID.
- year
interview year.
- birth_yr
birth year.
- age
age in current year.
- race
1=white, 2=black, 3=other.
- msp
1 if married, spouse present.
- nev_mar
1 if never married.
- grade
current grade completed.
- collgrad
1 if college graduate.
- not_smsa
1 if not SMSA.
- c_city
1 if central city.
- south
1 if south.
- ind_code
industry of employment.
- occ_code
occupation.
- union
1 if union.
- wks_ue
weeks unemployed last year.
- ttl_exp
total work experience.
- tenure
job tenure, in years.
- hours
usual hours worked.
- wks_work
weeks worked last year.
- ln_wage
ln(wage/GNP deflator).
Details
Two different versions of this data set are available on the internet.
They are slighly different:
The variable wks_work (weeks worked last year)
is 101 in this version (from Stata),
but NA in the version provided by the Boston College
for the observation with idcode = 1 and year = 83.
Moreover, this variable
is NA in this version (from Stata),
but 104 in the version provided by the Boston College
for the observation with idcode = 2 and year = 87.
Source
Datasets for Stata Longitudinal/Panel-Data Reference Manual, Release 10: National Longitudinal Survey. Young Women 14-26 years of age in 1968, https://www.stata-press.com/data/r10/nlswork.dta.
References
Boston College, National Longitudinal Survey. Young Women 14-26 years of age in 1968, https://fmwww.bc.edu/ec-p/data/stata/nlswork.dta.
Examples
data( "nlswork" )
summary( nlswork )
## Not run:
library( "plm" )
nlswork <- plm.data( nlswork, c( "idcode", "year" ) )
plmResult <- plm( ln_wage ~ union + age + grade + not_smsa + south + occ_code,
data = nlswork, model = "random" )
summary( plmResult )
## End(Not run)