Wooldridge Source: Altonji, J.G., T.E. Elder, and C.R. Taber (2005), “An Evaluation of Instrumental Variable Strategies for Estimating the Effects of Catholic Schooling,” Journal of Human Resources 40, 791-821. Professor Elder kindly provided a subset of the data, with some variables stripped away for confidentiality reasons. Data loads lazily.
data('catholic')A data.frame with 7430 observations on 13 variables:
id: person identifier
read12: reading standardized score
math12: mathematics standardized score
female: =1 if female
asian: =1 if Asian
hispan: =1 if Hispanic
black: =1 if black
motheduc: mother's years of education
fatheduc: father's years of education
lfaminc: log of family income
hsgrad: =1 if graduated from high school by 1994
cathhs: =1 if attended Catholic HS
parcath: =1 if a parent reports being Catholic
pages 267, 551
str(catholic)
#> 'data.frame': 7430 obs. of 13 variables:
#> $ id : int 124902 124915 124916 124932 124944 124947 124966 124968 124972 124974 ...
#> $ read12 : num 61.4 58.3 59.3 49.6 57.6 ...
#> $ math12 : num 49.8 59.8 50.4 45 54.3 ...
#> $ female : int 0 0 1 1 1 1 1 0 0 0 ...
#> $ asian : int 0 0 0 0 0 0 0 0 0 0 ...
#> $ hispan : int 0 0 0 0 0 0 0 0 0 0 ...
#> $ black : int 0 0 0 0 0 0 0 0 0 0 ...
#> $ motheduc: num 14 14 14 12 12 12 14 14 14 14 ...
#> $ fatheduc: num 12 14 11 14 12 11 14 14 14 12 ...
#> $ lfaminc : num 10.3 10.3 10.3 10.3 10.7 ...
#> $ hsgrad : int 1 1 1 1 1 1 1 1 1 1 ...
#> $ cathhs : int 0 0 0 0 0 0 0 0 0 0 ...
#> $ parcath : int 1 1 1 1 1 1 1 1 1 1 ...