jtrain2: jtrain2

Description Usage Format Notes Source Examples

Description

Wooldridge Source: R.J. Lalonde (1986), “Evaluating the Econometric Evaluations of Training Programs with Experimental Data,” American Economic Review 76, 604-620. Professor Jeff Biddle, at MSU, kindly passed the data set along to me. He obtained it from Professor Lalonde. Data loads lazily.

Usage

1
data('jtrain2')

Format

A data.frame with 445 observations on 19 variables:

Notes

Professor Lalonde obtained the data from the National Supported Work Demonstration job-training program conducted by the Manpower Demonstration Research Corporation in the mid 1970s. Training status was randomly assigned, so this is essentially experimental data. Computer Exercise C17.8 looks only at the effects of training on subsequent unemployment probabilities. For illustrating the more advanced methods in Chapter 17, a good exercise would be to have the students estimate a Tobit of re78 on train, and obtain estimates of the expected values for those with and without training. These can be compared with the sample averages.

Used in Text: pages 18, 340-341, 626

Source

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

Examples

1

Example output

'data.frame':	445 obs. of  19 variables:
 $ train   : int  1 1 1 1 1 1 1 1 1 1 ...
 $ age     : int  37 22 30 27 33 22 23 32 22 33 ...
 $ educ    : int  11 9 12 11 8 9 12 11 16 12 ...
 $ black   : int  1 0 1 1 1 1 1 1 1 0 ...
 $ hisp    : int  0 1 0 0 0 0 0 0 0 0 ...
 $ married : int  1 0 0 0 0 0 0 0 0 1 ...
 $ nodegree: int  1 1 0 1 1 1 0 1 0 0 ...
 $ mosinex : int  13 13 13 13 13 13 6 6 14 13 ...
 $ re74    : num  0 0 0 0 0 0 0 0 0 0 ...
 $ re75    : num  0 0 0 0 0 0 0 0 0 0 ...
 $ re78    : num  9.93 3.6 24.91 7.51 0.29 ...
 $ unem74  : int  1 1 1 1 1 1 1 1 1 1 ...
 $ unem75  : int  1 1 1 1 1 1 1 1 1 1 ...
 $ unem78  : int  0 0 0 0 0 0 1 0 0 0 ...
 $ lre74   : num  0 0 0 0 0 0 0 0 0 0 ...
 $ lre75   : num  0 0 0 0 0 0 0 0 0 0 ...
 $ lre78   : num  2.3 1.28 3.22 2.02 -1.24 ...
 $ agesq   : int  1369 484 900 729 1089 484 529 1024 484 1089 ...
 $ mostrn  : int  13 13 13 13 13 13 6 6 14 13 ...
 - attr(*, "datalabel")= chr ""
 - attr(*, "time.stamp")= chr "25 Jun 2011 23:03"
 - attr(*, "formats")= chr  "%9.0g" "%9.0g" "%9.0g" "%9.0g" ...
 - attr(*, "types")= int  251 251 251 251 251 251 251 251 254 254 ...
 - attr(*, "val.labels")= chr  "" "" "" "" ...
 - attr(*, "var.labels")= chr  "=1 if assigned to job training" "age in 1977" "years of education" "=1 if black" ...
 - attr(*, "version")= int 10

wooldridge documentation built on June 24, 2021, 9:07 a.m.