IDEAS home Printed from https://ideas.repec.org/p/clb/wpaper/201114.html
   My bibliography  Save this paper

The Effectiveness Of Remedial Courses In Italy: A Fuzzy Regression Discontinuity Design

Author

Listed:
  • Maria De Paola

    ()

  • Vincenzo Scoppa

    () (Dipartimento di Economia e Statistica, Università della Calabria)

Abstract

We evaluate the effects on student achievement of a number of remedial courses provided by an Italian University. To identify the causal effect of remediation we use a Fuzzy Regression Discontinuity Design, relying on the fact that students whose performance at a placement test was below a certain cutoff were assigned to the treatment. We deal with partial compliance using the assignment rule as an instrumental variable for the effective attendance to remedial courses. From our analysis it emerges that students just below the cutoff, attending the remedial courses, acquire a higher number of credits compared to students just above the cutoff. We also find that remedial courses reduce the probability of dropping out from academic career. On the other hand, we do not find any statistically significant effect on the average grade obtained at passed exams.

Suggested Citation

  • Maria De Paola & Vincenzo Scoppa, 2011. "The Effectiveness Of Remedial Courses In Italy: A Fuzzy Regression Discontinuity Design," Working Papers 201114, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
  • Handle: RePEc:clb:wpaper:201114
    as

    Download full text from publisher

    File URL: http://www.ecostat.unical.it/RePEc/WorkingPapers/WP14_2011.pdf
    File Function: First version, 2011-11
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. repec:ags:stataj:119292 is not listed on IDEAS
    2. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    3. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
    4. Silke Anger & Guido Heineck, 2010. "Do smart parents raise smart children? The intergenerational transmission of cognitive abilities," Journal of Population Economics, Springer;European Society for Population Economics, vol. 23(3), pages 1105-1132, June.
    5. Regina Riphahn & Florian Schieferdecker, 2012. "The transition to tertiary education and parental background over time," Journal of Population Economics, Springer;European Society for Population Economics, vol. 25(2), pages 635-675, January.
    6. McCrary, Justin, 2008. "Manipulation of the running variable in the regression discontinuity design: A density test," Journal of Econometrics, Elsevier, vol. 142(2), pages 698-714, February.
    7. 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.
    8. Maria De Paola & Vincenzo Scoppa & Rosanna Nisticò, 2012. "Monetary Incentives and Student Achievement in a Depressed Labor Market: Results from a Randomized Experiment," Journal of Human Capital, University of Chicago Press, vol. 6(1), pages 56-85.
    9. 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.
    10. Lee, David S. & Card, David, 2008. "Regression discontinuity inference with specification error," Journal of Econometrics, Elsevier, vol. 142(2), pages 655-674, February.
    11. Austin Nichols, 2007. "Causal inference with observational data," Stata Journal, StataCorp LP, vol. 7(4), pages 507-541, December.
    12. 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.
    13. Mary Silles, 2011. "The effect of schooling on teenage childbearing: evidence using changes in compulsory education laws," Journal of Population Economics, Springer;European Society for Population Economics, vol. 24(2), pages 761-777, April.
    14. Johan N. M. Lagerlöf & Andrew J. Seltzer, 2009. "The Effects of Remedial Mathematics on the Learning of Economics: Evidence from a Natural Experiment," The Journal of Economic Education, Taylor & Francis Journals, vol. 40(2), pages 115-137, April.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. repec:eee:ecoedu:v:60:y:2017:i:c:p:36-53 is not listed on IDEAS
    2. Giorgio Di Pietro, 2014. "The Short-term Effectiveness of a Remedial Mathematics Course: Evidence from a UK University," Manchester School, University of Manchester, vol. 82(3), pages 363-384, June.
    3. 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.
    4. Almeida,Rita Kullberg & Bresolin,Antonio & Pugialli Da Silva Borges,Bruna & Mendes,Karen & Menezes Filho,Naercio, 2016. "Assessing the impacts of Mais Educacao on educational outcomes : evidence between 2007 and 2011," Policy Research Working Paper Series 7644, The World Bank.
    5. 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.
    6. repec:cep:cverdp:005 is not listed on IDEAS
    7. 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.
    8. Philip Verwimp, 2016. "Secondary School as a Contraceptive: Quasi-Experimental Evidence from Burundi," Working Papers ECARES ECARES 2016-19, ULB -- Universite Libre de Bruxelles.

    More about this item

    Keywords

    Remedial Courses; Tertiary Education; Public Policy; Fuzzy Regression Discontinuity Design; Instrumental Variables;

    JEL classification:

    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

    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:clb:wpaper:201114. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Giovanni Dodero). General contact details of provider: http://edirc.repec.org/data/decalit.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.