IDEAS home Printed from https://ideas.repec.org/a/eee/ecoedu/v60y2017icp97-111.html
   My bibliography  Save this article

No student left behind? Evidence from the Programme for School Guidance in Spain

Author

Listed:
  • Ignacio García-Pérez, J.
  • Hidalgo-Hidalgo, Marisa

Abstract

This paper evaluates the effects of a remedial education programme implemented in Spain between 2005 and 2012 that offered after-school classes for underperforming students from poor socioeconomic backgrounds. We use two different estimation strategies, re-weighting estimators and propensity score matching, and address the existence of selection bias. We find that this programme had a substantial positive effect on children’s academic achievement: the probability of falling behind the general progress of the group declined by between 3.5 and 6.4 percentage points and mean reading scores increased by between 8.5 and 17.4% of one standard deviation. We also find that a larger exposure to the programme improves students’ scores: whereas students in schools that participated in the programme for at most two years do not experience any significant positive effect, those in schools that participated for at least three years did. The programme significantly reduced the probability of belonging to the bottom part of the distribution (by between 3.2 and 7.7 percentage points) and improved mean scores (by between 8 and 21.5% of one standard deviation). Finally, we find that the impact of the programme is much stronger for students in rural schools than for students in urban schools.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:ecoedu:v:60:y:2017:i:c:p:97-111
    DOI: 10.1016/j.econedurev.2017.08.006
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0272775716304812
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.econedurev.2017.08.006?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 look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Abhijit V. Banerjee & Shawn Cole & Esther Duflo & Leigh Linden, 2007. "Remedying Education: Evidence from Two Randomized Experiments in India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 1235-1264.
    2. Anthony B. Atkinson & Thomas Piketty & Emmanuel Saez, 2011. "Top Incomes in the Long Run of History," Journal of Economic Literature, American Economic Association, vol. 49(1), pages 3-71, March.
    3. Matias Busso & John DiNardo & Justin McCrary, 2014. "New Evidence on the Finite Sample Properties of Propensity Score Reweighting and Matching Estimators," The Review of Economics and Statistics, MIT Press, vol. 96(5), pages 885-897, December.
    4. Brian A. Jacob & Lars Lefgren, 2004. "Remedial Education and Student Achievement: A Regression-Discontinuity Analysis," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 226-244, February.
    5. Lee, Myoung-jae, 2005. "Micro-Econometrics for Policy, Program and Treatment Effects," OUP Catalogue, Oxford University Press, number 9780199267699.
    6. Keisuke Hirano & Guido W. Imbens & Geert Ridder, 2003. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," Econometrica, Econometric Society, vol. 71(4), pages 1161-1189, July.
    7. Busso, Matias & DiNardo, John & McCrary, Justin, 2009. "New Evidence on the Finite Sample Properties of Propensity Score Matching and Reweighting Estimators," IZA Discussion Papers 3998, Institute of Labor Economics (IZA).
    8. 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.
    9. Laura Hospido & Ernesto Villanueva & Gema Zamarro, 2015. "Finance For All: The Impact Of Financial Literacy Training In Compulsory Secondary Education In Spain," Working Papers 1502, Banco de España.
    10. Victor Lavy & Analia Schlosser, 2005. "Targeted Remedial Education for Underperforming Teenagers: Costs and Benefits," Journal of Labor Economics, University of Chicago Press, vol. 23(4), pages 839-874, October.
    11. De Paola, Maria & Scoppa, Vincenzo, 2015. "Procrastination, academic success and the effectiveness of a remedial program," Journal of Economic Behavior & Organization, Elsevier, vol. 115(C), pages 217-236.
    12. James J. Heckman & Jora Stixrud & Sergio Urzua, 2006. "The Effects of Cognitive and Noncognitive Abilities on Labor Market Outcomes and Social Behavior," Journal of Labor Economics, University of Chicago Press, vol. 24(3), pages 411-482, July.
    13. Ulubasoglu, Mehmet A. & Cardak, Buly A., 2007. "International comparisons of rural-urban educational attainment: Data and determinants," European Economic Review, Elsevier, vol. 51(7), pages 1828-1857, October.
    14. Anthony Barnes Atkinson, 2010. "Macerata Lectures on European Economic Policy. Poverty and the EU: the New Decade," Working Papers 24-2010, Macerata University, Department of Studies on Economic Development (DiSSE), revised May 2010.
    15. Battaglia, Marianna & Lebedinski, Lara, 2015. "Equal Access to Education: An Evaluation of the Roma Teaching Assistant Program in Serbia," World Development, Elsevier, vol. 76(C), pages 62-81.
    16. Knight, John & Li, Shi, 1996. "Educational Attainment and the Rural--Urban Divide in China," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 58(1), pages 83-117, February.
    17. Kanbur, Ravi, 2014. "Globalization and Inequality," Working Papers 180163, Cornell University, Department of Applied Economics and Management.
    18. J. Ignacio Garc𫑐鲥z & Marisa Hidalgo-Hidalgo & J. Antonio Robles-Zurita, 2014. "Does grade retention affect students' achievement? Some evidence from Spain," Applied Economics, Taylor & Francis Journals, vol. 46(12), pages 1373-1392, April.
    19. Helena Holmlund & Olmo Silva, 2014. "Targeting Noncognitive Skills to Improve Cognitive Outcomes: Evidence from a Remedial Education Intervention," Journal of Human Capital, University of Chicago Press, vol. 8(2), pages 126-160.
    20. Lounkaew, Kiatanantha, 2013. "Explaining urban–rural differences in educational achievement in Thailand: Evidence from PISA literacy data," Economics of Education Review, Elsevier, vol. 37(C), pages 213-225.
    21. 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.
    22. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," Econometrica, Econometric Society, vol. 66(5), pages 1017-1098, September.
    23. Brunello, Giorgio & De Paola, Maria, 2013. "The Costs of Early School Leaving in Europe," IZA Discussion Papers 7791, Institute of Labor Economics (IZA).
    Full references (including those not matched with items on IDEAS)

    Citations

    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Lo que debería preocuparnos de PISA
      by María Ramos in Politikon on 2016-12-13 15:21:00

    Citations

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


    Cited by:

    1. Giorgio Vittadini & Giuseppe Folloni & Caterina Sturaro, 2022. "The Development of Cognitive and Noncognitive Skills in Students in the Autonomous Province of Trento," Economies, MDPI, vol. 10(7), pages 1-17, July.
    2. Marianna Battaglia & Marisa Hidalgo-Hidalgo, 2020. "Non-Cognitive Skills and Remedial Education: Good News for Girls," Working Papers 20.10, Universidad Pablo de Olavide, Department of Economics.
    3. De Benedetto, Marco Alberto & De Paola, Maria & Scoppa, Vincenzo & Smirnova, Janna, 2022. "The long-run effects of college remedial education," Economics Letters, Elsevier, vol. 216(C).
    4. Oriol Pons & Saeid Habibi & Diana Peña, 2018. "Sustainability Assessment of Household Waste Based Solar Control Devices for Workshops in Primary Schools," Sustainability, MDPI, vol. 10(11), pages 1-23, November.
    5. Luis Pires & Rosa Santero-Sánchez & Cristian Macías, 2021. "School Failure in the Region of Madrid (Spain): An Approximation through Diagnostic Assessment in 2019," Sustainability, MDPI, vol. 13(17), pages 1-20, September.
    6. Battaglia, Marianna & Lebedinski, Lara, 2022. "With a little help from my friends: Medium-Term effects of a remedial education program targeting Roma minority," Economics of Education Review, Elsevier, vol. 86(C).

    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. Marianna Battaglia & Marisa Hidalgo-Hidalgo, 2020. "Non-Cognitive Skills and Remedial Education: Good News for Girls," Working Papers 20.10, Universidad Pablo de Olavide, Department of Economics.
    2. Martins, Pedro S., 2017. "Can Non-Cognitive Skills Programs Improve Achievement? Quasi-Experimental Evidence from EPIS," GLO Discussion Paper Series 105, Global Labor Organization (GLO).
    3. Pedro S. Martins, 2017. "(How) Do Non-Cognitive Skills Programs Improve Adolescent School Achievement? Experimental Evidence," Working Papers 81, Queen Mary, University of London, School of Business and Management, Centre for Globalisation Research.
    4. Helena Holmlund & Olmo Silva, 2014. "Targeting Noncognitive Skills to Improve Cognitive Outcomes: Evidence from a Remedial Education Intervention," Journal of Human Capital, University of Chicago Press, vol. 8(2), pages 126-160.
    5. 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.
    6. Hvidman, Charlotte & Koch, Alexander K. & Nafziger, Julia & Nielsen, Søren Albeck & Rosholm, Michael, 2024. "An intensive, school-based learning camp targeting academic and non-cognitive skills evaluated in a randomized trial," Labour Economics, Elsevier, vol. 88(C).
    7. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    8. Hugo Bodory & Lorenzo Camponovo & Martin Huber & Michael Lechner, 2020. "The Finite Sample Performance of Inference Methods for Propensity Score Matching and Weighting Estimators," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(1), pages 183-200, January.
    9. Battistin, Erich & Meroni, Elena Claudia, 2016. "Should we increase instruction time in low achieving schools? Evidence from Southern Italy," Economics of Education Review, Elsevier, vol. 55(C), pages 39-56.
    10. Erich Battistin & Antonio Schizzerotto, 2019. "Threat of grade retention, remedial education and student achievement: evidence from upper secondary schools in Italy," Empirical Economics, Springer, vol. 56(2), pages 651-678, February.
    11. Battaglia, Marianna & Lebedinski, Lara, 2015. "Equal Access to Education: An Evaluation of the Roma Teaching Assistant Program in Serbia," World Development, Elsevier, vol. 76(C), pages 62-81.
    12. Marco Caliendo & Robert Mahlstedt & Gerard J. van den Berg & Johan Vikström, 2023. "Side effects of labor market policies," Scandinavian Journal of Economics, Wiley Blackwell, vol. 125(2), pages 339-375, April.
    13. Paweł Strawiński, 2013. "Controlling for overlap in matching," Working Papers 2013-10, Faculty of Economic Sciences, University of Warsaw.
    14. Rodríguez-Planas, Núria, 2010. "Longer-Term Impacts of Mentoring, Educational Services, and Incentives to Learn: Evidence from a Randomized Trial," IZA Discussion Papers 4754, Institute of Labor Economics (IZA).
    15. Michael Lechner & Anthony Strittmatter, 2019. "Practical procedures to deal with common support problems in matching estimation," Econometric Reviews, Taylor & Francis Journals, vol. 38(2), pages 193-207, February.
    16. Frölich, Markus & Huber, Martin & Wiesenfarth, Manuel, 2017. "The finite sample performance of semi- and non-parametric estimators for treatment effects and policy evaluation," Computational Statistics & Data Analysis, Elsevier, vol. 115(C), pages 91-102.
    17. Fan, Yanqin & Guerre, Emmanuel & Zhu, Dongming, 2017. "Partial identification of functionals of the joint distribution of “potential outcomes”," Journal of Econometrics, Elsevier, vol. 197(1), pages 42-59.
    18. Marco Caliendo & Stefan Tübbicke, 2019. "Do Start-Up Subsidies for the Unemployed Affect Participants’ Well-Being? A Rigorous Look at (Un-)Intended Consequences of Labor Market Policies," CEPA Discussion Papers 14, Center for Economic Policy Analysis.
    19. Fredrik Andersson & Harry J. Holzer & Julia I. Lane & David Rosenblum & Jeffrey Smith, 2024. "Does Federally Funded Job Training Work? Nonexperimental Estimates of WIA Training Impacts Using Longitudinal Data on Workers and Firms," Journal of Human Resources, University of Wisconsin Press, vol. 59(4), pages 1244-1283.
    20. Eric Edmonds & Ben Feigenberg & Jessica Leight, 2023. "Advancing the Agency of Adolescent Girls," The Review of Economics and Statistics, MIT Press, vol. 105(4), pages 852-866, July.

    More about this item

    Keywords

    Remedial education; PAE; Programme evaluation; PISA; Selection bias;
    All these keywords.

    JEL classification:

    • H52 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Education
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

    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:eee:ecoedu:v:60:y:2017:i:c:p:97-111. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/econedurev .

    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.