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Closing the income-achievement gap? Experimental evidence from high-dosage tutoring in Dutch primary education

Author

Listed:
  • de Ree, Joppe
  • Maggioni, Mario A.
  • Paulle, Bowen
  • Rossignoli, Domenico
  • Ruijs, Nienke
  • Walentek, Dawid

Abstract

We present experimental evidence on a high-dosage math tutoring (HDT) program implemented in three primary schools in a low-income neighborhood in the Netherlands. We find treatment effects on math scores of 0.28 national population standard deviations after one school year (p<0.01). These effects can account for 40% of the math achievement gap between low-income and high-income students in the Netherlands. As most of the evidence on intensive tutoring programs draws on research from the United States, we conclude that (i.) HDT programs can be successfully built from the ground up and exported to different institutional settings while maintaining substantial effect sizes, and, (ii.) existing income-achievement gaps can be substantially reduced by targeting low-income communities with scalable interventions like HDT.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:ecoedu:v:94:y:2023:i:c:s0272775723000304
    DOI: 10.1016/j.econedurev.2023.102383
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    Cited by:

    1. Anger, Silke & Christoph, Bernhard & Galkiewicz, Agata & Margaryan, Shushanik & Sandner, Malte & Siedler, Thomas, 2026. "Online tutoring, school performance, and school-to-work transitions: Evidence from a randomized controlled trial," European Economic Review, Elsevier, vol. 187(C).
    2. Ballestar, María Teresa & Mir, Miguel Cuerdo & Pedrera, Luis Miguel Doncel & Sainz, Jorge, 2024. "Effectiveness of tutoring at school: A machine learning evaluation," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    3. Didier Nibbering & Matthijs Oosterveen, 2023. "Instrument-based estimation of full treatment effects with movers," Papers 2306.07018, arXiv.org.
    4. Harry Anthony Patrinos, 2022. "Learning loss and learning recovery," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 49(2), pages 183-188, June.
    5. DI PIETRO Giorgio & KARPINSKI Zbigniew, 2024. "Teaching mathematics for success: A data-driven review and analysis of best practices," JRC Research Reports JRC140539, Joint Research Centre.

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    Keywords

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    JEL classification:

    • H0 - Public Economics - - General
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality

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