| jtrain3 | R Documentation |
Wooldridge Source: R.H. Dehejia and S. Wahba (1999), “Causal Effects in Nonexperimental Studies: Reevaluating the Evaluation of Training Programs,” Journal of the American Statistical Association 94, 1053-1062. Professor Sergio Firpo, at the University of British Columbia, has used this data set in his recent work, and he kindly provided it to me. This data set is a subset of that originally used by Lalonde in the study cited for JTRAIN2.RAW. Data loads lazily.
data('jtrain3')
A data.frame with 2675 observations on 20 variables:
train: =1 if in job training
age: in years, 1977
educ: years of schooling
black: =1 if black
hisp: =1 if Hispanic
married: =1 if married
re74: '74 earnings, $1000s '82
re75: '75 earnings, $1000s '82
unem75: =1 if unem. all of '75
unem74: =1 if unem. all of '74
re78: '78 earnings, $1000s '82
agesq: age^2
trre74: train*re74
trre75: train*re75
trun74: train*unem74
trun75: train*unem75
avgre: (re74 + re75)/2
travgre: train*avgre
unem78: =1 if unem. all of '78
em78: 1 - unem78
pages 340-341, 480-481
https://www.cengage.com/cgi-wadsworth/course_products_wp.pl?fid=M20b&product_isbn_issn=9781111531041
str(jtrain3)