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Not Too Late: Improving Academic Outcomes among Adolescents

Author

Listed:
  • Jonathan Guryan
  • Jens Ludwig
  • Monica P. Bhatt
  • Philip J. Cook
  • Jonathan M. V. Davis
  • Kenneth Dodge
  • George Farkas
  • Roland G. Fryer Jr.
  • Susan Mayer
  • Harold Pollack
  • Laurence Steinberg
  • Greg Stoddard

Abstract

Improving academic outcomes for economically disadvantaged students has proven challenging, particularly for children at older ages. We present two large-scale randomized controlled trials of a high-dosage tutoring program delivered to secondary school students in Chicago. One innovation is to use paraprofessional tutors to hold down cost, thereby increasing scalability. Participating in math tutoring increases math test scores by 0.18 to 0.40 standard deviations and increases math and non-math course grades. These effects persist into future years. The data are consistent with increased personalization of instruction as a mechanism. The benefit-cost ratio is comparable to many successful early-childhood programs.

Suggested Citation

  • Jonathan Guryan & Jens Ludwig & Monica P. Bhatt & Philip J. Cook & Jonathan M. V. Davis & Kenneth Dodge & George Farkas & Roland G. Fryer Jr. & Susan Mayer & Harold Pollack & Laurence Steinberg & Greg, 2023. "Not Too Late: Improving Academic Outcomes among Adolescents," American Economic Review, American Economic Association, vol. 113(3), pages 738-765, March.
    • Handle: RePEc:aea:aecrev:v:113:y:2023:i:3:p:738-65
    DOI: 10.1257/aer.20210434
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    Citations

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    Cited by:

    1. Bonesrønning, Hans & Finseraas, Henning & Hardoy, Ines & Iversen, Jon Marius Vaag & Nyhus, Ole Henning & Opheim, Vibeke & Salvanes, Kari Vea & Sandsør, Astrid Marie Jorde & Schøne, Pål, 2022. "Small-group instruction to improve student performance in mathematics in early grades: Results from a randomized field experiment," Journal of Public Economics, Elsevier, vol. 216(C).
    2. Carlana, Michela & La Ferrara, Eliana, 2021. "Apart but Connected: Online Tutoring and Student Outcomes during the COVID-19 Pandemic," IZA Discussion Papers 14094, Institute of Labor Economics (IZA).
    3. de Ree, Joppe & Maggioni, Mario A. & Paulle, Bowen & Rossignoli, Domenico & Ruijs, Nienke & Walentek, Dawid, 2023. "Closing the income-achievement gap? Experimental evidence from high-dosage tutoring in Dutch primary education," Economics of Education Review, Elsevier, vol. 94(C).
    4. Borra, Cristina & Iacovou, Maria & Sevilla, Almudena, 2023. "Adolescent development and the math gender gap," European Economic Review, Elsevier, vol. 158(C).
    5. Jonathan M.V. Davis & Jonathan Guryan & Kelly Hallberg & Jens Ludwig, 2017. "The Economics of Scale-Up," NBER Working Papers 23925, National Bureau of Economic Research, Inc.
    6. Pedro S. Martins, 2017. "(How) Do Non-Cognitive Skills Programs Improve Adolescent School Achievement? Experimental Evidence," Working Papers 81, Queen Mary, University of London, School of Business and Management, Centre for Globalisation Research.
    7. Noam Angrist & Peter Bergman & Moitshepi Matsheng, 2020. "School’s Out: Experimental Evidence on Limiting Learning Loss Using “Low-Tech” in a Pandemic," NBER Working Papers 28205, National Bureau of Economic Research, Inc.
    8. Nicolai T. Borgen & Lars J. Kirkebøen & Andreas Kotsadam & Oddbjørn Raaum, 2022. "Do funds for more teachers improve student outcomes?," Discussion Papers 982, Statistics Norway, Research Department.
    9. Verónica Cabezas & José Ignacio Cuesta & Francisco Gallego, 2021. "Does Short-Term School Tutoring have Medium-Term Effects? Experimental Evidence from Chile," Documentos de Trabajo 565, Instituto de Economia. Pontificia Universidad Católica de Chile..
    10. Lars J. Kirkebøen & Trude Gunnes & Lena Lindenskov & Marte Rønning, 2021. "Didactic methods and small-group instruction for low-performing adolescents in mathematics. Results from a randomized controlled trial," Discussion Papers 957, Statistics Norway, Research Department.

    More about this item

    JEL classification:

    • H75 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Government: Health, Education, and Welfare
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination

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