jtrain3

Description

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.

Usage

data('jtrain3')

Format

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

Used in Text

pages 340-341, 480-481

Source

https://www.cengage.com/cgi-wadsworth/course_products_wp.pl?fid=M20b&product_isbn_issn=9781111531041

Examples

 str(jtrain3)