+-------------+-------------------+
| Schooling   | R Documentation   |
+-------------+-------------------+

Wages and Schooling
-------------------

Description
~~~~~~~~~~~

a cross-section from 1976

*number of observations* : 3010

*observation* : individuals

*country* : United States

Usage
~~~~~

::

    data(Schooling)

Format
~~~~~~

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

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,
`http://www.econ.kuleuven.ac.be/GME <http://www.econ.kuleuven.ac.be/GME>`_,
chapter 5.

See Also
~~~~~~~~

``Index.Source``, ``Index.Economics``, ``Index.Econometrics``,
``Index.Observations``
