nlsworkR 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)