On this R-data 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
a panel of 48 observations from 1970 to 1986
number of observations : 5225
observation : individuals
country : United States
A time serie containing :
wage in 1876
grade level in 1976
experience 1n 1976
lived in south in 1976 ?
lived in smsa in 1976 ?
region, a factor with levels (un,midatl,enc,wnc,sa,esc,wsc,m,p)
lived in smsa in 1966 ?
lived with both parents at age 14 ?
lived with mother only at age 14 ?
father has no formal education ?
mother has no formal education ?
mean grade level of father
mean grade level of mother
father's and mother's education, a factor with 9 levels
age in 1976
is any 4-year college nearby ?
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.
Cameron, A.C. and P.K. Trivedi (2005) Microeconometrics : methods and applications, Cambridge.
Dataset imported from https://www.r-project.org.