Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/286162 
Title (translated): 
Academic performance and university initiation course: An analysis of discontinuous regressions
Year of Publication: 
2019
Citation: 
[Journal:] Revista de Métodos Cuantitativos para la Economía y la Empresa [ISSN:] 1886-516X [Volume:] 27 [Year:] 2019 [Pages:] 207-234
Publisher: 
Universidad Pablo de Olavide, Sevilla
Abstract (Translated): 
This study evaluated the impact of the University Initiation Course (UIC) of the Andres Bello Catholic University, Montalban, Caracas, Venezuela, from 2008 to 2011, under the hypothesis of a better academic result for the students that participated in this program. The research was based on a quasi-experimental design in which it was possible to define from an allocation index who benefits or not from the treatment, and this criterion is a unique value depending on the career and is not affected by other criteria of the institution or the applicant. In this type of design, an index is used to order the units of analysis and a certain value of that index as a criterion of selection of the groups, so that the individuals chosen for the treatment cannot be chosen not to be treated. The estimation of the magnitude of the impact for each parametric and non-parametric methodology at least locally indicates that the UIC reduces school and institutional dropout at a minimum 9% and 11% respectively, although it does not reduce the prosecution, on which there is no empirical evidence indicating a better performance for the treated students.
Subjects: 
Impact evaluation
regression discontinuity design
dropout
prosecution
JEL: 
L42
C25
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-sa Logo
Document Type: 
Article

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