Is Free and Reduced-Price Lunch a Valid Measure of Educational Disadvantage
Bibliographic Data
| ID | 9733409 |
|---|---|
| Authors | Thurston Domina (0000-0003-0161-3215, University of North Carolina at Chapel Hill, Chapel Hill, NC, corresponding author), Nikolas Pharris-Ciurej (0009-0009-3339-6826, U.S. Census Bureau, Washington, DC), Andrew M Penner (0000-0002-9483-8933, University of California, Irvine, CA), Emily K Penner (0000-0003-4649-351X, University of California, Irvine, CA), Quentin Brummet (0000-0003-3026-8983, NORC at the University of Chicago), Sonya R Porter (0009-0004-7962-3119, U.S. Census Bureau, Washington, DC), Tanya Sanabria (0000-0001-6513-7946, University of California, Irvine, CA) |
| Year | 2018 |
| Volume | 47 |
| Issue | 9 |
| Pages | 539-555 |
| Publication date | 2018-12-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Educational Researcher (JOURNAL) |
| Journal identifiers | ISSN: 0013-189X • E-ISSN: 1935-102X |
| Publisher | American Educational Research Association (AERA) (PUBLISHER) |
| DOI | 10.3102/0013189x18797609 |
| OpenAlex | W2891256993 |
| Language | EN |
| Citations received | 69 |
| References cited | 29 |
Students in the United States whose household income is less than 130% of the poverty line qualify for free lunch, and students whose household income is between 130% and 185% of the poverty line qualify for reduced-price lunch. Education researchers and policymakers often use free and reduced-price lunch (FRPL) status to measure socioeconomic disadvantage. But how valid is this measure? Linking IRS income tax data to school administrative records for all eighth graders in one California public school district and Oregon public schools, we examine how well FRPL enrollment captures student disadvantage. We find that FRPL categories capture relatively little variation in household income. However, FRPL captures elements of educational disadvantage that IRS-reported household income data do not
Demographic economics · Disadvantage · Economic growth · Economics · Family income · Geography · Household income · Measure (data warehouse · Political science · Poverty · Public economics · Socioeconomic status · Sociology · Demography · Gender, Labor, and Family Dynamics · Income, Poverty, and Inequality · School Choice and Performance
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| Unique citing works | 69 |
|---|---|
| Citations per year | 9,86 |
| Citation span | 2019 - 2026 (8) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 68 |