The Effectiveness Of Remedial Courses In Italy: A Fuzzy Regression Discontinuity Design
AbstractWe 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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Bibliographic InfoPaper 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.
Length: 21 pages
Date of creation: Nov 2011
Date of revision:
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/
More information through EDIRC
Remedial Courses; Tertiary Education; Public Policy; Fuzzy Regression Discontinuity Design; Instrumental Variables;
Find related papers by 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
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-12-13 (All new papers)
- NEP-EDU-2011-12-13 (Education)
- NEP-LAB-2011-12-13 (Labour Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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