[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/p/ctl/louvir/2015023.html
   My bibliography  Save this paper

Modeling the Effects of Grade Retention in High School

Author

Listed:
  • Bart Cockx

    (Ghent University (SHERPPA), Université catholique de Louvain (IRES), IZA and CESifo)

  • Stijn Baert

    (Ghent University (SHERPPA), University of Antwerp, Université catholique de Louvain (IRES) and IZA)

  • Matteo Picchio

    (Department of Economics and Social Sciences, Marche Polytechnic University; CentER, Tilburg University; Sherppa, Ghent University; IZA)

Abstract
A dynamic discrete choice model is set up to estimate the effects of grade retention in high school, both in the short- (end-of-year evaluation) and long-run (drop-out and delay). In contrast to regression discontinuity designs, this approach captures treatment heterogeneity and controls for grade-varying unobservable determinants. A method is proposed to deal with initial conditions and with partial observability of the track choices at the start of high school. Forced track downgrading is considered as an alternative remedial measure. In the long-run, grade retention and its alternative have adverse effects on schooling outcomes and, more so, for less able pupils.

Suggested Citation

  • Bart Cockx & Stijn Baert & Matteo Picchio, 2015. "Modeling the Effects of Grade Retention in High School," LIDAM Discussion Papers IRES 2015023, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
  • Handle: RePEc:ctl:louvir:2015023
    as

    Download full text from publisher

    File URL: http://sites.uclouvain.be/econ/DP/IRES/2015023.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Filomena, Mattia & Giorgetti, Isabella & Picchio, Matteo, 2022. "Off to a Bad Start: Youth Nonemployment and Labor Market Outcomes Later in Life," IZA Discussion Papers 15366, Institute of Labor Economics (IZA).
    2. Stijn Baert & Dieter Verhaest, 2021. "Work Hard or Play Hard? Degree Class, Student Leadership and Employment Opportunities," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(4), pages 1024-1047, August.
    3. Baert, Stijn & Picchio, Matteo, 2021. "A signal of (Train)ability? Grade repetition and hiring chances," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 867-878.
    4. Matteo Picchio & Claudia Pigini & Stefano Staffolani & Alina Verashchagina, 2021. "If not now, when? The timing of childbirth and labor market outcomes," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(6), pages 663-685, September.
    5. Cockx, B. & Declercq, Koen & Dejemeppe, Muriel, 2022. "Losing prospective entitlement to unemployment benefits. Impact on educational attainment," ROA Research Memorandum 003, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    6. By Stijn Baert & Brecht Neyt & Eddy Omey & Dieter Verhaest, 2022. "Student work during secondary education, educational achievement, and later employment: a dynamic approach," Empirical Economics, Springer, vol. 63(3), pages 1605-1635, September.
    7. Baert, Stijn & Neyt, Brecht & Omey, Eddy & Verhaest, Dieter, 2017. "Student Work, Educational Achievement, and Later Employment: A Dynamic Approach," IZA Discussion Papers 11127, Institute of Labor Economics (IZA).
    8. Neyt, Brecht & Verhaest, Dieter & Baert, Stijn, 2020. "The impact of dual apprenticeship programmes on early labour market outcomes: A dynamic approach," Economics of Education Review, Elsevier, vol. 78(C).
    9. Simon ter Meulen, 2023. "Long-Term Effects of Grade Retention," CESifo Working Paper Series 10212, CESifo.
    10. Javier Valbuena & Mauro Mediavilla & Álvaro Choi & María Gil, 2021. "Effects Of Grade Retention Policies: A Literature Review Of Empirical Studies Applying Causal Inference," Journal of Economic Surveys, Wiley Blackwell, vol. 35(2), pages 408-451, April.
    11. Bach, Maximilian, 2019. "Strategic grade retention," ZEW Discussion Papers 19-059, ZEW - Leibniz Centre for European Economic Research.
    12. De Groote, Olivier, 2019. "Dynamic Effort Choice in High School: Costs and Benefits of an Academic Track," TSE Working Papers 19-1002, Toulouse School of Economics (TSE), revised Jun 2023.
    13. Brecht Neyt & Dieter Verhaest & Stijn Baert, 2019. "The Impact of Internship Experience During Secondary Education on Schooling and Labour Market Outcomes," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 19/980, Ghent University, Faculty of Economics and Business Administration.
    14. Navarini, Lorenzo & Verhaest, Dieter, 2024. "Returns to Education and Overeducation Risk: A Dynamic Model," GLO Discussion Paper Series 1456, Global Labor Organization (GLO).
    15. Servaas van der Berg & Gabrielle Wills & Rebecca Selkirk & Charles Adams & Chris van Wyk, 2019. "The cost of repetition in South Africa," Working Papers 13/2019, Stellenbosch University, Department of Economics.
    16. Emilio Borghesan & Hugo Reis & Petra E. Todd, 2022. "Learning Through Repetition? A Dynamic Evaluation of Grade Retention in Portugal," PIER Working Paper Archive 22-030, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    17. Zhang, Shiying & Huang, Ao, 2022. "The long-term effects of automatic grade promotion on child development," China Economic Review, Elsevier, vol. 74(C).
    18. Loviglio, Annalisa, 2023. "School Quality beyond Test Scores: The Role of Schools in Shaping Educational Outcomes," IZA Discussion Papers 16111, Institute of Labor Economics (IZA).

    More about this item

    Keywords

    Education; grade retention; track mobility; dynamic discrete choice models; heterogeneous treatment effects;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ctl:louvir:2015023. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Virginie LEBLANC (email available below). General contact details of provider: https://edirc.repec.org/data/iruclbe.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.