On this Picostat.com statistics page, you will find information about the RetSchool data set which pertains to Return to Schooling . The RetSchool data set is found in the Ecdat R package. You can load the RetSchool data set in R by issuing the following command at the console data("RetSchool"). This will load the data into a variable called RetSchool. If R says the RetSchool data set is not found, you can try installing the package by issuing this command install.packages("Ecdat") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the RetSchool R data set. The size of this file is about 224,635 bytes.

Return to Schooling

Description

a panel of 48 observations from 1970 to 1986

number of observations : 5225

observation : individuals

country : United States

Usage

data(RetSchool)

Format

A time serie containing :

wage76

wage in 1876

grade76

grade level in 1976

exp76

experience 1n 1976

black

black ?

south76

lived in south in 1976 ?

smsa76

lived in smsa in 1976 ?

region

region, a factor with levels (un,midatl,enc,wnc,sa,esc,wsc,m,p)

smsa66

lived in smsa in 1966 ?

momdad14

lived with both parents at age 14 ?

sinmom14

lived with mother only at age 14 ?

nodaded

father has no formal education ?

nomomed

mother has no formal education ?

daded

mean grade level of father

momed

mean grade level of mother

famed

father's and mother's education, a factor with 9 levels

age76

age in 1976

col4

is any 4-year college nearby ?

Source

Kling, Jeffrey R. (2001) “Interpreting Instrumental Variables Estimates of the Return to Schooling”, Journal of Business and Economic Statistics, 19(3), july, 358–364.

Dehejia, R.H. and S. Wahba (2002) “Propensity-score Matching Methods for Nonexperimental Causal Studies”, Restat, 151–161.

References

Cameron, A.C. and P.K. Trivedi (2005) Microeconometrics : methods and applications, Cambridge.

See Also

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

Index.Time.Series

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Dataset imported from https://www.r-project.org.