The Limited Impact of Extending the School Week on Educational Outcomes in Dutch Primary Education: a Quasi-Experimental Study Using Penalized Synthetic Control Analysis
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Abstract
This study uses a quasi-experimental design to investigate the causal impact of an extended school week on educational performance in 22 Dutch primary schools. The intervention has been partly modeled after the prominent Harlem Children’s Zone (HCZ). To assess the impact of the intervention, we leverage register data containing information on all Dutch children finishing primary school in the period 2009–2022. Synthetic control analysis is applied to estimate the causal effect for each individual school. The findings show the program has had limited effect on educational outcomes with little variation between schools. Although we lack implementation measures, we discuss how factors such as goal switching, lack of participation, and teacher shortages may have hampered program effectiveness. Finally, we explore whether the HCZ concept is transferable to other international contexts.
Bibliography: Custers, Gijs/van Kesteren, Erik-Jan/Ryan, Oisín: The Limited Impact of Extending the School Week on Educational Outcomes in Dutch Primary Education: a Quasi-Experimental Study Using Penalized Synthetic Control Analysis, IJREE – International Journal for Research on Extended Education, No. 1-2026, pp. 57-83.
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Literature
Abadie, A., Diamond, A., & Hainmueller, J. (2010). Synthetic control methods for comparative case studies: Estimating the effect of California’s tobacco control program. Journal of the American Statistical Association, 105(490), 493–505.
Abadie, A., & L’Hour, J. (2021). A penalized synthetic control estimator for disaggregated data. Journal of the American Statistical Association, 116(536), 1817–1834.
Bakker, B. F., Van Rooijen, J., & Van Toor, L. (2014). The system of social statistical datasets of Statistics Netherlands: An integral approach to the production of register-based social statistics. Statistical Journal of the IAOS, 30(4), 411–424.
Batruch, A., Geven, S., Kessenich, E., & van de Werfhorst, H. G. (2023). Are tracking recommendations biased? A review of teachers’ role in the creation of inequalities in tracking decisions. Teaching and Teacher Education, 123, 103985.
Ben-Michael, E., Feller, A., & Rothstein, J. (2021). The Augmented Synthetic Control Method. Journal of the American Statistical Association, 116(536), 1789–1803. https://doi.org/10.1080/01621459.2021.1929245
Bohnert, A., Fredricks, J., & Randall, E. (2010). Capturing unique dimensions of youth organized activity involvement: Theoretical and methodological considerations. Review of Educational Research, 80(4), 576–610.
Custers, G. (2025). Implementation barriers and program effectiveness: A quasi-experimental study on an extended school week. Educational Policy. Advance Online Publication.
Custers, G., Das, M., & Engbersen, G. (2023). Change or stability in educational inequalities? Educational mobility and school effects in the context of a major urban policy. Urban Studies, 60(14), 2852–2873.
De Lange, M., Dronkers, J., & Wolbers, M. H. (2014). Single-parent family forms and children’s educational performance in a comparative perspective: Effects of school’s share of single-parent families. School Effectiveness and School Improvement, 25(3), 329–350.
Dobbie, W., & Fryer Jr, R. G. (2011). Are high-quality schools enough to increase achievement among the poor? Evidence from the Harlem Children’s Zone. American Economic Journal: Applied Economics, 3(3), 158–187.
Dobbie, W., & Fryer Jr, R. G. (2013). Getting beneath the veil of effective schools: Evidence from New York City. American Economic Journal: Applied Economics, 5(4), 28–60.
Dobbie, W., & Fryer Jr, R. G. (2015). The medium-term impacts of high-achieving charter schools. Journal of Political Economy, 123(5), 985–1037.
Dol, K., Hoekstra, J., & Kleinhans, R. (2019). National Program Rotterdam South: Neighbourhood development in a large deprived urban area, Netherlands (RELOCAL Case Study No. 20/33). University of Eastern Finland.
Dronkers, J. (1995). The existence of parental choice in the Netherlands. Educational Policy, 9(3), 227–243.
Durlak, J. A., Weissberg, R. P., & Pachan, M. (2010). A meta-analysis of after-school programs that seek to promote personal and social skills in children and adolescents. American Journal of Community Psychology, 45, 294–309.
Elffers, L. (2023, December 14). De grote (on)gelijkmaker: Onderwijs in een ongelijke samenleving [The great un(equalizer): Education in an unequal society] [Oration]. University of Amsterdam.
Hallberg, K., Williams, R., Swanlund, A., & Eno, J. (2018). Short comparative interrupted time series using aggregate school-level data in education research. Educational Researcher, 47(5), 295–306.
Hanson D. (2013). Assessing the Harlem Children’s Zone (Discussion Paper No. 8). The Heritage Foundation.
Holstead, J., & King, M. H. (2011). High-quality 21st century community learning centers: Academic achievement among frequent participants and non-participants. Journal of Education for Students Placed at Risk, 16(4), 255–274.
Inspectorate of Education. (2019). Staat van het Onderwijs 2019 [State of Education 2019]. Inspectorate of Education.
Jacobs, M., van der Velden, R., & van Vugt, L. (2024). High-stakes testing and educational careers: Exploiting the differences in cutoffs between test recommendations in The Netherlands. Journal of Research on Educational Effectiveness, 17(4), 711–745.
James-Burdumy, S., Dynarski, M., & Deke, J. (2007). When elementary schools stay open late: Results from the national evaluation of the 21st Century Community Learning Centers program. Educational Evaluation and Policy Analysis, 29(4), 296–318.
Jenner, E., & Jenner, L. W. (2007). Results from a first-year evaluation of academic impacts of an afterschool program for at-risk students. Journal of Education for Students Placed at Risk, 12(2), 213–237.
Kerr, K., & Dyson, A. (2014). Developing an evidence-based rationale for a Children’s Zone approach. IJREE–International Journal for Research on Extended Education, 2(1), 15–16.
Kraft, M. A., & Novicoff, S. (2024). Time in school: A conceptual framework, synthesis of the causal research, and empirical exploration. American Educational Research Journal, 61(4), 724–766.
Kruiter, J., Mens, R., Hoogeveen, K., & Donkers, E. (2020). Procesevaluatie Dagprogrammering Rotterdam Zuid: Zicht op invoering en mogelijkheden in de toekomst [Process evaluation Day Program Rotterdam South: Insights on implementation and future possibilities]. Sardes.
Leithwood, K., & Jantzi, D. (2009). A review of empirical evidence about school size effects: A policy perspective. Review of Educational Research, 79(1), 464–490.
Leos-Urbel, J. (2015). What works after school? The relationship between after-school program quality, program attendance, and academic outcomes. Youth & Society, 47(5), 684–706.
Municipality of Rotterdam. (2011). Zuid Werkt! Nationaal programma Kwaliteitssprong Zuid [South Works! National program quality improvement South]. Municipality of Rotterdam.
National Program Rotterdam South (NPRZ). (2012). Uitvoeringsplan 2012–2014 [Implementation plan 2012–2014]. NPRZ.
National Program Rotterdam South (NPRZ). (2015). Uitvoeringsplan 2015–2018 [Implementation plan 2015–2018]. NPRZ.
National Program Rotterdam South (NPRZ). (2023). Uitvoeringsplan 2023–2027 [Implementation plan 2023–2027]. NPRZ.
Rubin, D. B. (2005). Causal inference using potential outcomes: Design, modeling, decisions. Journal of the American Statistical Association, 100(469), 322–331.
Sardes & DSP-group (2023). Dagprogrammering Rotterdam in 2022 [Day Program Rotterdam in 2022]. Sardes & DSP-group.
Swart, L., Van den Berge, W., & Visser, D. (2019). De waarde van eindtoetsen in het primair onderwijs [The value of final tests in primary education]. CPB Netherlands Bureau for Economic Policy Analysis.
VanBuuren, S., & Groothuis-Oudshoorn, K. (2011). mice: Multivariate imputation by chained equations in R. Journal of Statistical Software, 45, 1–67.
Van Kesteren, E.J. (2024). pensynth: Penalized Synthetic Control Estimation. R package version 0.5.1. doi:10.32614/CRAN.package.pensynth
Van Kesteren, E.J., Custers, G.J., & Ryan, O. (2024). Code Archive for Synthetic Control Analysis of the NPRZ Education Intervention. doi: 10.5281/zenodo.1402299
Waslander, S., Hooge, E., & Drewes, T. (2016). Steering dynamics in the Dutch education system. European Journal of Education, 51(4), 478–494.
Whitehurst, G. J., & Croft, M. (2010). The Harlem Children’s Zone, Promise Neighborhoods, and the broader, bolder approach to education. Brown Center on Education Policy, The Brookings Institution.
Yeh, S. S. (2013). A re-analysis of the effects of KIPP and the Harlem Promise Academies. Teachers College Record, 115(4), 1–20.