nlswork: National Longitudinal Survey of Young Working Women
In sampleSelection2: Sample Selection Models

Description Usage Format Details Source References Examples

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.

1	data(nlswork)

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).

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.

Datasets for Stata Longitudinal/Panel-Data Reference Manual, Release 10: National Longitudinal Survey. Young Women 14-26 years of age in 1968, http://www.stata-press.com/data/r10/nlswork.dta.

Boston College, National Longitudinal Survey. Young Women 14-26 years of age in 1968, http://fmwww.bc.edu/ec-p/data/stata/nlswork.dta.

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)