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Does Gifted Education Work? For Which Students?

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  • David Card
  • Laura Giuliano

Abstract

Education policy makers have struggled for decades with the question of how to best serve high ability K‐12 students. As in the debate over selective college admissions, a key issue is targeting. Should gifted and talented programs be allocated on the basis of cognitive ability, or a broader combination of ability and achievement? Should there be a single admission threshold, or a lower bar for disadvantaged students? We use data from a large urban school district to study the impacts of assignment to separate gifted classrooms on three distinct groups of fourth grade students: non-disadvantaged students with IQ scores ≥130; subsidized lunch participants and English language learners with IQ scores ≥116; and students who miss the IQ thresholds but scored highest among their school/grade cohort in state-wide achievement tests in the previous year. Regression discontinuity estimates based on the IQ thresholds for the first two groups show no effects on reading or math achievement at the end of fourth grade. In contrast, estimates based on test score ranks for the third group show significant gains in reading and math, concentrated among lower-income and black and Hispanic students. The math gains persist to fifth grade and are also reflected in fifth grade science scores. Our findings suggest that a separate classroom environment is more effective for students selected on past achievement - particularly disadvantaged students who are often excluded from gifted and talented programs.

Suggested Citation

  • David Card & Laura Giuliano, 2014. "Does Gifted Education Work? For Which Students?," NBER Working Papers 20453, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:20453
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    Cited by:

    1. Abdurrahman B. Aydemir & Murat Güray Kırdar & Huzeyfe Torun, 2019. "The Effect of Education on Geographic Mobility: Incidence, Timing, and Type of Migration," RF Berlin - CReAM Discussion Paper Series 1914, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
    2. Alex Bell & Raj Chetty & Xavier Jaravel & Neviana Petkova & John Van Reenen, 2019. "Who Becomes an Inventor in America? The Importance of Exposure to Innovation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(2), pages 647-713.
    3. Murat G. Kırdar & Meltem Dayıoğlu & İsmet Koç, 2018. "The Effects of Compulsory-Schooling Laws on Teenage Marriage and Births in Turkey," Journal of Human Capital, University of Chicago Press, vol. 12(4), pages 640-668.
    4. Simone Balestra & Aurélien Sallin & Stefan C. Wolter, 2023. "High-Ability Influencers? The Heterogeneous Effects of Gifted Classmates," Journal of Human Resources, University of Wisconsin Press, vol. 58(2), pages 633-665.
    5. Basu, Anirban & Jones, Andrew M. & Dias, Pedro Rosa, 2018. "Heterogeneity in the impact of type of schooling on adult health and lifestyle," Journal of Health Economics, Elsevier, vol. 57(C), pages 1-14.
    6. Eric Brunner & Shaun Dougherty & Stephen Ross, 2019. "The Effects of Career and Technical Education: Evidence from the Connecticut Technical High School System," Working Papers 2019-047, Human Capital and Economic Opportunity Working Group.
    7. Aaron K. Chatterji, 2017. "Innovation and American K-12 Education," NBER Chapters, in: Innovation Policy and the Economy, Volume 18, pages 27-51, National Bureau of Economic Research, Inc.
    8. Youssef Benzarti & Jarkko Harju, 2021. "Using Payroll Tax Variation to Unpack the Black Box of Firm-Level Production," Journal of the European Economic Association, European Economic Association, vol. 19(5), pages 2737-2764.
    9. Akyol, Pelin & Krishna, Kala, 2017. "Preferences, selection, and value added: A structural approach," European Economic Review, Elsevier, vol. 91(C), pages 89-117.
    10. Gerard, Francois & Rokkanen, Miikka & Rothe, Christoph, 2015. "Identification and Inference in Regression Discontinuity Designs with a Manipulated Running Variable," IZA Discussion Papers 9604, Institute of Labor Economics (IZA).
    11. Fenoll, Ainoa Aparicio & Moscarola, Flavia Coda & Zaccagni, Sarah, 2021. "Mathematics camps: A gift for gifted students?," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 738-751.
    12. Victor Lavy & Yoav Goldstein, 2022. "Gifted Children Programs’ Short and Long-Term Impact: Higher Education, Earnings, and the Knowledge Economy," NBER Working Papers 29779, National Bureau of Economic Research, Inc.
    13. David M. Welsch & David M. Zimmer, 2018. "Do High School Gifted Programs Lead to Later-in-Life Success?," Journal of Labor Research, Springer, vol. 39(2), pages 201-218, June.
    14. 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.
    15. François Gerard & Miikka Rokkanen & Christoph Rothe, 2020. "Bounds on treatment effects in regression discontinuity designs with a manipulated running variable," Quantitative Economics, Econometric Society, vol. 11(3), pages 839-870, July.
    16. Assaad, Ragui & Aydemir, Abdurrahman B. & Dayioglu-Tayfur, Meltem & Kirdar, Murat Güray, 2023. "Wage Returns to Human Capital Resulting from an Extra Year of Primary School: Evidence from Egypt," IZA Discussion Papers 16037, Institute of Labor Economics (IZA).
    17. Gerard, François & Rothe, Christoph & Rokkanen, Miikka, 2016. "Bounds on Treatment Effects in Regression Discontinuity Designs under Manipulation of the Running Variable, with an Application," CEPR Discussion Papers 11668, C.E.P.R. Discussion Papers.
    18. Aaron Chatterji, 2017. "Innovation and American K-12 Education," NBER Working Papers 23531, National Bureau of Economic Research, Inc.
    19. Booij, Adam S. & Haan, Ferry & Plug, Erik, 2016. "Enriching Students Pays Off: Evidence from an Individualized Gifted and Talented Program in Secondary Education," IZA Discussion Papers 9757, Institute of Labor Economics (IZA).

    More about this item

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality

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