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

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Author Info

  • 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.

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File URL: http://www.ecostat.unical.it/RePEc/WorkingPapers/WP14_2011.pdf
File Function: First version, 2011-11
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Bibliographic Info

Paper provided by Università della Calabria, Dipartimento di Economia, Statistica e Finanza (Ex Dipartimento di Economia e Statistica) in its series Working Papers with number 201114.

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Length: 21 pages
Date of creation: Nov 2011
Date of revision:
Handle: RePEc:clb:wpaper:201114

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Postal: Università della Calabria, Dipartimento di Economia, Statistica e Finanza, Ponte Pietro Bucci, Cubo 0/C, I-87036 Arcavacata di Rende, CS, Italy
Phone: +39 0984 492413
Fax: +39 0984 492421
Web page: http://www.unical.it/portale/strutture/dipartimenti_240/disesf/
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Related research

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

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References

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  1. Austin Nichols, 2007. "Causal inference with observational data," Stata Journal, StataCorp LP, vol. 7(4), pages 507-541, December.
  2. Guido Imbens & Thomas Lemieux, 2007. "Regression Discontinuity Designs: A Guide to Practice," NBER Working Papers 13039, National Bureau of Economic Research, Inc.
  3. 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.
  4. David S. Lee & David Card, 2006. "Regression Discontinuity Inference with Specification Error," NBER Technical Working Papers 0322, National Bureau of Economic Research, Inc.
  5. Silke Anger & Guido Heineck, 2009. "Do Smart Parents Raise Smart Children?: The Intergenerational Transmission of Cognitive Abilities," SOEPpapers on Multidisciplinary Panel Data Research 156, DIW Berlin, The German Socio-Economic Panel (SOEP).
  6. Mary Silles, 2011. "The effect of schooling on teenage childbearing: evidence using changes in compulsory education laws," Journal of Population Economics, Springer, vol. 24(2), pages 761-777, April.
  7. 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.
  8. Maria De Paola & Vincenzo Scoppa & Rosanna Nistic�, 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. Brian A. Jacob & Lars Lefgren, 2002. "Remedial Education and Student Achievement: A Regression-Discontinuity Analysis," NBER Working Papers 8918, National Bureau of Economic Research, Inc.
  10. Regina Riphahn & Florian Schieferdecker, 2012. "The transition to tertiary education and parental background over time," Journal of Population Economics, Springer, vol. 25(2), pages 635-675, January.
  11. 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.
  12. 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.
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Cited by:
  1. Maria De Paola & Vincenzo Scoppa, 2014. "Procrastination, Academic Success And The Effectiveness Of A Remedial Program," Working Papers 201401, Università della Calabria, Dipartimento di Economia, Statistica e Finanza (Ex Dipartimento di Economia e Statistica).

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