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School Segregation and Racial Gaps in Special Education Identification

Author

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 overidentified in schools with relatively small shares of minorities and substantially underidentified 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, 2021. "School Segregation and Racial Gaps in Special Education Identification," Journal of Labor Economics, University of Chicago Press, vol. 39(S1), pages 151-197.
    • Handle: RePEc:ucp:jlabec:doi:10.1086/711421
    DOI: 10.1086/711421
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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. 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).
    6. 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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