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

  • Maria De Paola

    ()

  • Vincenzo Scoppa

    ()

    (Dipartimento di Economia e Statistica, Università della Calabria)

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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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
Contact details of provider: 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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  1. 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.
  2. 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.
  3. Regina Riphahn & Florian Schieferdecker, 2008. "The Transition to Tertiary Education and Parental Background over Time," Working Papers 063, Bavarian Graduate Program in Economics (BGPE).
  4. Victor Lavy & Analia Schlosser, 2004. "Targeted Remedial Education for Under-Performing Teenagers: Costs and Benefits," NBER Working Papers 10575, National Bureau of Economic Research, Inc.
  5. David S. Lee & David Card, 2006. "Regression Discontinuity Inference with Specification Error," NBER Technical Working Papers 0322, National Bureau of Economic Research, Inc.
  6. 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.
  7. 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.
  8. Lagerlöf, Johan N. M. & Seltzer, Andrew J, 2008. "The Effects of Remedial Mathematics on the Learning of Economics: Evidence from a Natural Experiment," CEPR Discussion Papers 6895, C.E.P.R. Discussion Papers.
  9. 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).
  10. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
  11. 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.
  12. Austin Nichols, 2007. "Causal inference with observational data," Stata Journal, StataCorp LP, vol. 7(4), pages 507-541, December.
  13. 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.
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