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Modeling the Effects of Grade Retention in High School

Author

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  • 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," Discussion Papers (IRES - Institut de Recherches Economiques et Sociales) 2015023, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
  • Handle: RePEc:ctl:louvir:2015023
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    File URL: http://sites.uclouvain.be/econ/DP/IRES/2015023.pdf
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    Cited by:

    1. Baert, Stijn & Neyt, Brecht & Omey, Eddy & Verhaest, Dieter, 2017. "Student Work, Educational Achievement, and Later Employment: A Dynamic Approach," IZA Discussion Papers 11127, Institute for the Study of Labor (IZA).

    More about this item

    Keywords

    Education; grade retention; track mobility; dynamic discrete choice models; heterogeneous treatment effects;

    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

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