IDEAS home Printed from https://ideas.repec.org/a/spr/empeco/v49y2015i1p65-80.html
   My bibliography  Save this article

The effectiveness of active school attendance interventions to tackle dropout in secondary schools: a Dutch pilot case

Author

Listed:
  • Sofie Cabus
  • Kristof Witte

Abstract

Unauthorized truancy is considered as one of the earliest signals of a prospective school dropout decision. This paper evaluates the effectiveness of an active school attendance intervention tackling school dropout in Dutch secondary education. The intervention consists of increased care for, and interaction with, at-risk students by, for example, visits at home. It relies on professional mentors, teachers, case managers, social workers, and compulsory education age consultants. We analyze the effect of the intervention by a difference-in-differences analysis in combination with matching estimation techniques. The results indicate that the intervention schools significantly reduced school dropout with $$-0.54$$ - 0.54 % points in the school year 2009–2010 compared to the control schools and the school year 2008–2009. The highest impact ( $$-1.4$$ - 1.4 % points) of the intervention was estimated for the least able students. Copyright Springer-Verlag Berlin Heidelberg 2015

Suggested Citation

  • Sofie Cabus & Kristof Witte, 2015. "The effectiveness of active school attendance interventions to tackle dropout in secondary schools: a Dutch pilot case," Empirical Economics, Springer, vol. 49(1), pages 65-80, August.
    • Handle: RePEc:spr:empeco:v:49:y:2015:i:1:p:65-80
    DOI: 10.1007/s00181-014-0865-z
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s00181-014-0865-z
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s00181-014-0865-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Alberto Abadie, 2005. "Semiparametric Difference-in-Differences Estimators," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(1), pages 1-19.
    2. Black, Dan A. & Smith, J.A.Jeffrey A., 2004. "How robust is the evidence on the effects of college quality? Evidence from matching," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 99-124.
    3. Bowles, Samuel, 1972. "Schooling and Inequality from Generation to Generation," Journal of Political Economy, University of Chicago Press, vol. 80(3), pages 219-251, Part II, .
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    2. Urban, Dieter M & Weder di Mauro, Beatrice & Moser, Christoph, 2009. "Offshoring, Firm Performance and Establishment-Level Employment: Identifying Productivity and Downsizing Effects," CEPR Discussion Papers 7455, C.E.P.R. Discussion Papers.
    3. Paolo Naticchioni & Silvia Loriga, 2011. "Short and Long Term Evaluations of Public Employment Services in Italy," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 57(3), pages 201-229.
    4. Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Christian Hansen & Kengo Kato, 2018. "High-dimensional econometrics and regularized GMM," CeMMAP working papers CWP35/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Matias Busso & Patrick Kline, 2008. "Do Local Economic Development Programs Work? Evidence from the Federal Empowerment Zone Program," Cowles Foundation Discussion Papers 1639, Cowles Foundation for Research in Economics, Yale University.
    6. Dettmann, E. & Becker, C. & Schmeißer, C., 2011. "Distance functions for matching in small samples," Computational Statistics & Data Analysis, Elsevier, vol. 55(5), pages 1942-1960, May.
    7. Bemile, Esther & Anders, Sven M., 2014. "Linking Diet-Health Behaviour and Obesity using Propensity Score Matching," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182832, European Association of Agricultural Economists.
    8. Sant’Anna, Pedro H.C. & Zhao, Jun, 2020. "Doubly robust difference-in-differences estimators," Journal of Econometrics, Elsevier, vol. 219(1), pages 101-122.
    9. Trojanek, Radoslaw & Huderek-Glapska, Sonia, 2018. "Measuring the noise cost of aviation – The association between the Limited Use Area around Warsaw Chopin Airport and property values," Journal of Air Transport Management, Elsevier, vol. 67(C), pages 103-114.
    10. Bryan A. Stuart & Evan J. Taylor, 2021. "Migration Networks and Location Decisions: Evidence from US Mass Migration," American Economic Journal: Applied Economics, American Economic Association, vol. 13(3), pages 134-175, July.
    11. repec:dau:papers:123456789/4924 is not listed on IDEAS
    12. Picarelli, Nathalie, 2016. "Who really benefits from export processing zones? Evidence from Nicaraguan municipalities," Labour Economics, Elsevier, vol. 41(C), pages 318-332.
    13. Arne Henningsen & Guy Low & David Wuepper & Tobias Dalhaus & Hugo Storm & Dagim Belay & Stefan Hirsch, 2024. "Estimating Causal Effects with Observational Data: Guidelines for Agricultural and Applied Economists," IFRO Working Paper 2024/03, University of Copenhagen, Department of Food and Resource Economics.
    14. Cory Koedel, 2009. "Postsecondary Education Structure," Working Papers 0906, Department of Economics, University of Missouri, revised 04 Oct 2010.
    15. Yang Haodong & Liu Jialin & Wang Gaofeng, 2025. "Knowledge Innovation Effect of University Computing Power in China: Evidence from the top500 Supercomputers," Research in Higher Education, Springer;Association for Institutional Research, vol. 66(1), pages 1-30, February.
    16. Rachid Boumahdi & Jean-Michel Plassard, 1992. "Note à propos du caractère endogène de la variable éducation dans la fonction de gains," Revue Économique, Programme National Persée, vol. 43(1), pages 145-156.
    17. Olivier Dagnelie & Philippe Lemay‐Boucher, 2012. "Rosca Participation in Benin: A Commitment Issue," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(2), pages 235-252, April.
    18. Degl’Innocenti, Marta & Matousek, Roman & Sevic, Zeljko & Tzeremes, Nickolaos G., 2017. "Bank efficiency and financial centres: Does geographical location matter?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 46(C), pages 188-198.
    19. Kölling, Arnd, 2013. "Wirtschaftsförderung, Produktivität und betriebliche Arbeitsnachfrage - Eine Kausalanalyse mit Betriebspaneldaten -," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79843, Verein für Socialpolitik / German Economic Association.
    20. Christophe Loussouarn & Carine Franc & Yann Videau & Julien Mousquès, 2021. "Can General Practitioners Be More Productive? The Impact of Teamwork and Cooperation with Nurses on GP Activities," Health Economics, John Wiley & Sons, Ltd., vol. 30(3), pages 680-698, March.
    21. Malerba, Daniele, 2020. "Poverty alleviation and local environmental degradation: An empirical analysis in Colombia," World Development, Elsevier, vol. 127(C).

    More about this item

    Keywords

    Effectiveness; Dropout prevention; Secondary education; Truancy; I21; I28;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy

    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:spr:empeco:v:49:y:2015:i:1:p:65-80. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.