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The Long-Run Effects of College Remedial Education

Author

Listed:
  • De Benedetto, Marco Alberto

    (University of Calabria)

  • De Paola, Maria

    (University of Calabria)

  • Scoppa, Vincenzo

    (University of Calabria)

  • Smirnova, Janna

    (University of Calabria)

Abstract

We investigate the long-run impact of college remedial education on students' academic performance and employment status. By implementing a Fuzzy Regression Discontinuity Design we show that attending remedial courses positively affects the probability to get a university degree, whereas no significant effect is found on labour market outcomes.

Suggested Citation

  • De Benedetto, Marco Alberto & De Paola, Maria & Scoppa, Vincenzo & Smirnova, Janna, 2022. "The Long-Run Effects of College Remedial Education," IZA Discussion Papers 15082, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp15082
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    References listed on IDEAS

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    1. Ignacio García-Pérez, J. & Hidalgo-Hidalgo, Marisa, 2017. "No student left behind? Evidence from the Programme for School Guidance in Spain," Economics of Education Review, Elsevier, vol. 60(C), pages 97-111.
    2. Victor Lavy & Assaf Kott & Genia Rachkovski, 2022. "Does Remedial Education in Late Childhood Pay Off After All? Long-Run Consequences for University Schooling, Labor Market Outcomes, and Intergenerational Mobility," Journal of Labor Economics, University of Chicago Press, vol. 40(1), pages 239-282.
    3. Matias D. Cattaneo & Michael Jansson & Xinwei Ma, 2020. "Simple Local Polynomial Density Estimators," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 115(531), pages 1449-1455, July.
    4. Paco Martorell & Isaac McFarlin, 2011. "Help or Hindrance? The Effects of College Remediation on Academic and Labor Market Outcomes," The Review of Economics and Statistics, MIT Press, vol. 93(2), pages 436-454, May.
    5. Maria Paola & Vincenzo Scoppa, 2014. "The effectiveness of remedial courses in Italy: a fuzzy regression discontinuity design," Journal of Population Economics, Springer;European Society for Population Economics, vol. 27(2), pages 365-386, April.
    6. Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell, 2018. "On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(522), pages 767-779, April.
    7. Duchini, Emma, 2017. "Is college remedial education a worthy investment? New evidence from a sharp regression discontinuity design," Economics of Education Review, Elsevier, vol. 60(C), pages 36-53.
    8. Juan Carlos Calcagno & Bridget Terry Long, 2008. "The Impact of Postsecondary Remediation Using a Regression Discontinuity Approach: Addressing Endogenous Sorting and Noncompliance," NBER Working Papers 14194, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    remediation; education; employment; RDD;
    All these keywords.

    JEL classification:

    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation

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