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School Segregation and Racial Gaps in Special Education Identification

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Listed:
  • Todd E. Elder
  • David N. Figlio
  • Scott A. Imberman
  • Claudia L. Persico

Abstract

We use linked birth and education records from Florida to investigate how the identification of childhood disabilities varies by race and school racial composition. Using a series of decompositions, we find that black and Hispanic students are identified with disabilities at lower rates than are observationally similar white students. Black and Hispanic students are over-identified in schools with relatively small shares of minorities and substantially under-identified in schools with large minority shares. Our results are consistent with a heightened awareness among school officials of disabilities in students who are racially and ethnically distinct from the majority race in the school.

Suggested Citation

  • Todd E. Elder & David N. Figlio & Scott A. Imberman & Claudia L. Persico, 2019. "School Segregation and Racial Gaps in Special Education Identification," NBER Working Papers 25829, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:25829
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    References listed on IDEAS

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    1. Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2005. "Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 151-184, February.
    2. Raj Chetty & Nathaniel Hendren & Maggie R Jones & Sonya R Porter, 2020. "Race and Economic Opportunity in the United States: an Intergenerational Perspective [“Intergenerational Mobility of Immigrants in the US Over Two Centuries,”]," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(2), pages 711-783.
    3. Card, David & Rothstein, Jesse, 2007. "Racial segregation and the black-white test score gap," Journal of Public Economics, Elsevier, vol. 91(11-12), pages 2158-2184, December.
    4. Timothy N. Bond & Kevin Lang, 2013. "The Evolution of the Black-White Test Score Gap in Grades K–3: The Fragility of Results," The Review of Economics and Statistics, MIT Press, vol. 95(5), pages 1468-1479, December.
    5. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    6. Elder, Todd E., 2010. "The importance of relative standards in ADHD diagnoses: Evidence based on exact birth dates," Journal of Health Economics, Elsevier, vol. 29(5), pages 641-656, September.
    7. David Card & Laura Giuliano, 2016. "Can Tracking Raise the Test Scores of High-Ability Minority Students?," American Economic Review, American Economic Association, vol. 106(10), pages 2783-2816, October.
    8. Cullen, Julie Berry, 2003. "The impact of fiscal incentives on student disability rates," Journal of Public Economics, Elsevier, vol. 87(7-8), pages 1557-1589, August.
    9. Todd Elder & David Figlio & Scott Imberman & Claudia Persico, 2020. "The Role of Neonatal Health in the Incidence of Childhood Disability," American Journal of Health Economics, University of Chicago Press, vol. 6(2), pages 216-250.
    10. Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2008. "Using Selection on Observed Variables to Assess Bias from Unobservables When Evaluating Swan-Ganz Catheterization," American Economic Review, American Economic Association, vol. 98(2), pages 345-350, May.
    11. Dan Black & Amelia Haviland & Seth Sanders & Lowell Taylor, 2006. "Why Do Minority Men Earn Less? A Study of Wage Differentials among the Highly Educated," The Review of Economics and Statistics, MIT Press, vol. 88(2), pages 300-313, May.
    12. Todd E. Elder & Darren H. Lubotsky, 2009. "Kindergarten Entrance Age and Children’s Achievement: Impacts of State Policies, Family Background, and Peers," Journal of Human Resources, University of Wisconsin Press, vol. 44(3).
    13. Debopam Bhattacharya & Bhashkar Mazumder, 2011. "A nonparametric analysis of black–white differences in intergenerational income mobility in the United States," Quantitative Economics, Econometric Society, vol. 2(3), pages 335-379, November.
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    Cited by:

    1. Bacic, Ryan & Zheng, Angela, 2023. "Race and the income-achievement gap," CLEF Working Paper Series 55, Canadian Labour Economics Forum (CLEF), University of Waterloo.
    2. Rademakers, Robbert & van Hoorn, André, 2022. "How Racial Measures Affect the Estimation of Racial Inequality," MPRA Paper 121770, University Library of Munich, Germany.
    3. Seth M. Freedman & Kelli R. Marquardt & Dario Salcedo & Kosali I. Simon & Coady Wing, 2023. "Societal Disruptions And Child Mental Health: Evidence From ADHD Diagnosis During The COVID-19 Pandemic," NBER Working Papers 30909, National Bureau of Economic Research, Inc.
    4. Bacic, Ryan & Zheng, Angela, 2023. "Race and the Income-Achievement Gap," IZA Discussion Papers 16419, Institute of Labor Economics (IZA).
    5. Levere, Michael & Hemmeter, Jeffrey & Wittenburg, David, 2024. "The importance of schools in driving children’s applications for disability benefits," Journal of Public Economics, Elsevier, vol. 239(C).
    6. Chin, Mark J., 2024. "JUE Insight: Desegregated but still separated? The impact of school integration on student suspensions and special education classification," Journal of Urban Economics, Elsevier, vol. 141(C).
    7. Ryan Bacic & Angela Zheng, 2024. "Race and the Income‐Achievement Gap," Economic Inquiry, Western Economic Association International, vol. 62(1), pages 5-23, January.

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    More about this item

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • J70 - Labor and Demographic Economics - - Labor Discrimination - - - General

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