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Name:

Description:

a cross-section from 1976

number of observations : 3010

observation : individuals

country : United States

Variables:

A dataframe containing :

smsa66

lived in smsa in 1966 ?

smsa76

lived in smsa in 1976 ?

nearc2

grew up near 2-yr college ?

nearc4

grew up near 4-yr college ?

nearc4a

grew up near 4-year public college ?

nearc4b

grew up near 4-year private college ?

ed76

education in 1976

ed66

education in 1966

age76

age in 1976

daded

dads education (imputed avg if missing)

nodaded

dads education imputed ?

momed

mothers education

nomomed

moms education imputed ?

momdad14

lived with mom and dad at age 14 ?

sinmom14

single mom at age 14 ?

step14

step parent at age 14 ?

south66

lived in south in 1966 ?

south76

lived in south in 1976 ?

lwage76

log wage in 1976 (outliers trimmed)

famed

mom-dad education class (1-9)

black

black ?

wage76

wage in 1976 (raw, cents per hour)

enroll76

enrolled in 1976 ?

kww

the kww score

iqscore

a normed IQ score

mar76

married in 1976 ?

libcrd14

library card in home at age 14 ?

exp76

experience in 1976

Link To Google Sheets:

Rows:

Columns:

License Type:

References/Notes/Attributions:

Source

National Longitudinal Survey of Young Men (NLSYM) .

Card, D. (1995) Using geographical variation in college proximity to estimate the return to schooling in Christofides, L.N., E.K. Grant and R. Swidinsky (1995) Aspects of labour market behaviour : essays in honour of John Vanderkamp, University of Toronto Press, Toronto.

References

Verbeek, Marno (2004) A Guide to Modern Econometrics, John Wiley and Sons, chapter 5.

See Also

RetSchool, Index.Source, Index.Economics,

Index.Econometrics, Index.Observations

R Dataset Upload:

Use the following R code to directly access this dataset in R.

d <- read.csv("https://www.key2stats.com/Wages_and_Schooling_651_90.csv")

R Coding Interface:


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