Wooldridge Data loads lazily.

data('benefits')

Format

A data.frame with 1848 observations on 18 variables:

  • distid: district identifier

  • schid: school identifier

  • lunch: percent eligible, free lunch

  • enroll: school enrollment

  • staff: staff per 1000 students

  • exppp: expenditures per pupil

  • avgsal: average teacher salary, $

  • avgben: average teacher non-salary benefits, $

  • math4: percent passing 4th grade math test

  • story4: percent passing 4th grade reading test

  • bs: avgben/avgsal

  • lavgsal: log(avgsal)

  • lenroll: log(enroll)

  • lstaff: log(staff)

  • bsbar: within-district avg of bs

  • lunchbar: within-district avg of lunch

  • lenrollbar: within-district avg of lenroll

  • lstaffbar: within-district avg of lstaff

Source

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

NA

Examples

str(benefits)
#> 'data.frame': 1848 obs. of 18 variables: #> $ distid : num 1010 2010 2020 2070 3010 3010 3010 3020 3020 3020 ... #> $ schid : int 4937 4959 4999 597 790 1403 4056 922 2864 4851 ... #> $ lunch : num 48.3 51.5 51.2 33.7 11.9 ... #> $ enroll : int 539 59 82 409 259 337 589 450 380 281 ... #> $ staff : num 71.1 127.1 122.6 77.5 87.6 ... #> $ exppp : int 3586 4357 5667 2752 3253 3326 2260 2934 3063 2957 ... #> $ avgsal : num 39383 25622 31318 27873 31264 ... #> $ avgben : int 13656 10004 12645 9657 10017 8395 10518 11032 11278 12211 ... #> $ math4 : num 68 40 57.1 63.2 56.4 ... #> $ story4 : num 70.7 40 57.1 73.5 64.1 ... #> $ bs : num 0.347 0.39 0.404 0.346 0.32 ... #> $ lavgsal : num 10.6 10.2 10.4 10.2 10.4 ... #> $ lenroll : num 6.29 4.08 4.41 6.01 5.56 ... #> $ lstaff : num 4.26 4.84 4.81 4.35 4.47 ... #> $ bsbar : num 0.347 0.39 0.404 0.346 0.319 ... #> $ lunchbar : num 48.3 51.5 51.2 33.7 20.9 ... #> $ lenrollbar: num 6.29 4.08 4.41 6.01 5.92 ... #> $ lstaffbar : num 4.26 4.84 4.81 4.35 4.39 ... #> - attr(*, "time.stamp")= chr "22 Jan 2013 14:09"