Wooldridge Source: I collected these data from the old Michigan Department of Education web site. See MATHPNL.RAW for the current web site. I used data on most high schools in the state of Michigan for 1993. I dropped some high schools that had suspicious-looking data. Data loads lazily.
data('meap93')A data.frame with 408 observations on 17 variables:
lnchprg: perc of studs in sch lnch prog
enroll: school enrollment
staff: staff per 1000 students
expend: expend. per stud, $
salary: avg. teacher salary, $
benefits: avg. teacher benefits, $
droprate: school dropout rate, perc
gradrate: school graduation rate, perc
math10: perc studs passing MEAP math
sci11: perc studs passing MEAP science
totcomp: salary + benefits
ltotcomp: log(totcomp)
lexpend: log of expend
lenroll: log(enroll)
lstaff: log(staff)
bensal: benefits/salary
lsalary: log(salary)
https://www.cengage.com/cgi-wadsworth/course_products_wp.pl?fid=M20b&product_isbn_issn=9781111531041
Many states have data, at either the district or building level, on student performance and spending. A good exercise in data collection and cleaning is to have students find such data for a particular state, and to put it into a form that can be used for econometric analysis.
Used in Text: pages 50, 65, 111-112, 127-128, 155-156, 219, 336, 339, 696-697
str(meap93)
#> 'data.frame': 408 obs. of 17 variables:
#> $ lnchprg : num 1.4 2.3 2.7 3.4 3.4 ...
#> $ enroll : int 1862 11355 7685 1148 1572 2496 3358 11983 3499 5095 ...
#> $ staff : num 112.6 101.2 114 85.4 96.1 ...
#> $ expend : int 5765 6601 6834 3586 3847 5070 4474 5159 5012 6501 ...
#> $ salary : num 37498 48722 44541 31566 29781 ...
#> $ benefits: int 7420 10370 7313 5989 5545 5895 6934 8085 7253 7386 ...
#> $ droprate: num 2.9 1.3 3.5 3.6 0 ...
#> $ gradrate: num 89.2 91.4 91.4 86.6 100 ...
#> $ math10 : num 56.4 42.7 43.8 25.3 15.3 ...
#> $ sci11 : num 67.9 65.3 54.3 60 65.8 ...
#> $ totcomp : num 44918 59092 51854 37555 35326 ...
#> $ ltotcomp: num 10.7 11 10.9 10.5 10.5 ...
#> $ lexpend : num 8.66 8.79 8.83 8.18 8.26 ...
#> $ lenroll : num 7.53 9.34 8.95 7.05 7.36 ...
#> $ lstaff : num 4.72 4.62 4.74 4.45 4.57 ...
#> $ bensal : num 0.198 0.213 0.164 0.19 0.186 ...
#> $ lsalary : num 10.5 10.8 10.7 10.4 10.3 ...
#> - attr(*, "time.stamp")= chr "25 Jun 2011 23:03"