If the «resources in the home» variable is a reliable proxy for family income data, as the authors claim, then why use the flawed federal
lunch program variable at all?
Not exact matches
It depends on too many
variables, most of which are not fully within the control of the person running the meal
program — getting more paying kids to buy the school
lunch, keeping volatile food costs under control (remember the spike of 2008?
For a final check, we added controls for a full set of cohort - level
variables, including race, gender, participation in the federal subsidized
lunch program, and median zip code income.
Our data included each student's answers on each year's test; which school and classroom each student was in; each student's previous and future test scores; and demographic
variables including each student's age, sex, race, and eligibility for the federal school
lunch program, a widely used proxy for family income.
The analysis also took into account students» age, gender, eligibility for the free
lunch program, and whether they had been assigned to a small class, as well as
variables measuring the demographic composition of the student's class.