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Abstract

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.

Keywords

demography finance measurements parents and families poverty program evaluation regression analyses research methodology

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References

Adolphus

Lawton

C. L.

Dye

(2013). The effects of breakfast and academic performance in children and adolescents. Frontiers in Human Neuroscience, 7, 1–28.

Bass

D. N.

(2010). Fraud in the lunchroom? Education Next, 10(1).

Brown

J. L.

Pollitt

(1996). Malnutrition, poverty and intellectual development. Scientific American, 274(2), 38–43.

Buzby

J. C.

Guthrie

J. F.

(2002). Plate waste in school nutrition programs. The Journal of Consumer Affairs, 36(2), 220–238.

Byker

C. J.

Farris

A. R.

Marcenelle

Davis

G. C.

Serrano

E. L.

(2014). Food waste in a school nutrition program after implementation of new lunch program guidelines. Journal of Nutrition Education and Behavior, 46(5), 406–411.

Chetty

Friedman

J. N.

Rockoff

J. E.

(2014). Measuring the impacts of teachers I: Evaluating bias in teacher value-added estimates. The American Economic Review, 104(9), 2593–2632.

Cohen

J. F.

Richardson

Austin

S. B.

Economos

C. D.

Rimm

E. B.

(2013). School lunch waste among middle school students: Nutrients consumed and costs. American Journal of Preventive Medicine, 44(2), 114–121.

Cruse

Powers

(2006). Estimating school district poverty with FRPL data. Retrieved from http://www.census.gov/hhes/www/saipe/asapaper/CrusePowers2006asa.pdf

Dobbie

Fryer

R. G.

Jr. (2013). Getting beneath the veil of effective schools: Evidence from New York City. American Economic Journal: Applied Economics, 5(4), 28–60.

10.

Figlio

Hart

(2014). Competitive effects of means-tested school vouchers. American Economic Journal: Applied Economics, 6(1), 133–156.

11.

Frisvold, David

2015. Nutrition and cognitive achievement: An evaluation of the school breakfast program. Journal of Public Economics, 124, 91–104.

12.

Gleason

(2008). Direct certification in the national school lunch program expands access for children. Journal of Policy Analysis and Management, 27(1), 82–103.

13.

Glevwe

Jacoby

H. G.

King

E. M.

(2001). Early childhood nutrition and academic achievement: A longitudinal analysis. Journal of Public Economics, 81, 345–368.

14.

Hanushek

E. A.

Kain

J. F.

Markman

J. M.

Rivkin

S. G.

(2003). Does peer ability affect student achievement? Journal of Applied Econometrics, 18(5), 527–544.

15.

Harwell

LeBeau

(2010). Student eligibility for a free lunch as an SES measure in education research. Educational Researcher, 39(2), 120–131.

16.

Hauser

R. M.

(1994). Measuring socioeconomic status in studies of child development. Child development, 65(6), 1541–1545.

17.

Hill

C. J.

Bloom

H. S.

Black

A. R.

Lipsey

M. W.

(2008). Empirical benchmarks for interpreting effect sizes in research. Child Development Perspectives, 2(3), 172–177.

18.

Hinrichs

Peter

. 2010. The effect of the national school lunch program on education and health. Journal of Policy Analysis and Management, 29, 479–505.

19.

Imberman

S. A.

Kugler

A. D.

(2014). The effect of providing breakfast in class on student performance. Journal of Policy Analysis and Management, 33(3), 669–699.

20.

Institute of Medicine. (2008). Nutrition standards and meal requirements for National School Lunch and Breakfast Programs: Phase I. Proposed approach for recommending revisions. Washington, DC: The National Academies Press.

21.

Kim

J. S.

Sunderman

G. L.

(2005). Measuring academic proficiency under the No Child Left Behind Act: Implications for educational equity. Educational Researcher, 34(8), 3–13.

22.

Leos-Urbel

Schwartz

A. E.

Weinstein

Corcoran

(2013). Not just for poor kids: The impact of universal free school breakfast on meal participation and student outcomes. Economics of Education Review, 36, 88–107.

23.

Messick

(1987). Validity (ETS Research Report Series, 1987[2]). Retrieved from https://onlinelibrary.wiley.com/doi/abs/10.1002/j.2330-8516.1987.tb00244.x

24.

Michelmore

Dynarski

(2017). The gap within the gap: Using longitudinal data to understand income differences in student achievement (No. w22474). Cambridge, MA: National Bureau of Economic Research.

25.

Morduch

Schneider

(2017). The financial diaries: How American families cope in a World of uncertainty. Princeton, NJ: Princeton University Press.

26.

Morris

E. W.

Perry

B. L.

(2016). The punishment gap: School suspension and racial disparities in achievement. Social Problems, 63(1), 68–86.

27.

National Forum on Education Statistics. (2015). Forum guide to alternative measures of socioeconomic status in education data systems (NFES 2015-158). Retrieved from https://nces.ed.gov/pubs2015/2015158.pdf

28.

Poppendieck

(2011). Free for all: Fixing school food in America (Vol. 28). Berkeley: University of California Press.

29.

Reardon

S. F.

Kalogrides

Shores

(2017). The geography of racial/ethnic test score gaps (CEPA Working Paper No. 16-10). Stanford, CA: Stanford Center for Education Policy Analysis.

30.

Schanzenbach

D. W.

Zaki

(2014). Expanding the school breakfast program: Impacts on children’s consumption, nutrition and health (No. w20308). Cambridge, MA: National Bureau of Economic Research.

31.

Segal

Hewins

Sanderson

Nchako

Neuberger

Cai

Maurice

(2016). Community eligibility adoption rises for the 2015–16 school year, increasing access to school meals. Retrieved from https://www.cbpp.org/sites/default/files/atoms/files/4-7-16fa.pdf

32.

Shaefer

H. L.

Edin

Talbert

(2015). Understanding the dynamics of $2-a-day poverty in the United States. The Russell Sage Foundation Journal of the Social Sciences, 1(1), 120–138.

33.

Snyder

T. D.

de Brey

Dillow

S. A.

(2016). Digest of education statistics 2014 (NCES 2016-006). Washington, DC: National Center for Education Statistics, Institute of Education Sciences, U.S. Department of Education.

34.

U.S. Department of Agriculture, Economic Research Service. (2017). National School Lunch Program. Retrieved from https://www.ers.usda.gov/topics/food-nutrition-assistance/child-nutrition-programs/national-school-lunch-program/

35.

U.S. Department of Health and Human Services. (2017). U.S. federal poverty guidelines used to determine financial eligibility for certain federal programs Retrieved from https://aspe.hhs.gov/poverty-guidelines.

36.

Verstegen

D. A.

(2011). Public education finance systems in the United States and funding policies for populations with special educational needs. Education Policy Analysis Archives, 19, 21.

37.

Victora

C. G.

Adair

Fall

Hallal

P. C.

Martorell

Richter

Sachdev

H. D.

, for the Maternal and Child Undernutrition Study Group. (2008). Maternal and child undernutrition: Consequences for adult health and human capital. Lancet, 371, 340–357.

38.

Wagner

Layne

(2014). The person identification validation system (PVS): Applying the Center for Administrative Records Research and Applications’ (CARRA) record linkage software (Center for Administrative Records Research and Applications Working Paper 2014-01). Retrieved from https://www.census.gov/srd/carra/CARRA_PVS_Record_Linkage.pdf

Is Free and Reduced-Price Lunch a Valid Measure of Educational Disadvantage?

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