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Desempeño Académico y Curso de Iniciación Universitaria: Un Análisis de Regresiones Discontinuas || Academic Performance and University Initiation Course: An Analysis of Discontinuous Regressions

Author

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  • Hernández Medina, Patricia

    (Contabilidad y Auditoría. Universidad Técnica de Cotopaxi (Ecuador))

Abstract

La presente investigación evaluó el impacto del Curso de Iniciación Universitaria (CIU) de la Universidad Católica Andrés Bello, sede Montalbán, Caracas, Venezuela, en las cortes de ingreso 2008 a 2011, bajo la hipótesis de un mejor resultado académico para los tratados con el programa. La investigación se basó en un diseño cuasiexperimental en el que fue posible definir a partir de un índice de asignación quién se beneficia o no del tratamiento, y este criterio tiene un valor único en función de la carrera y no se ve afectado por otros criterios de la institución o el solicitante. En este tipo de diseño, se usa un índice para ordenar las unidades de análisis y un cierto valor de ese índice como criterio de selección de los grupos, de modo que los individuos elegidos para el tratamiento no puedan ser elegidos para no ser tratados. Empleando el diseño de regresiones discontinuas agudas, tanto para la metodología paramétrica y no paramétrica el CIU reduce, al menos localmente, la deserción de escuela y la de la institución entre un 9% y un 11% respectivamente, aunque no así la prosecución, sobre la cual no existe evidencia empírica que indique un mejor desempeño para los estudiantes tratados. || 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.

Suggested Citation

  • Hernández Medina, Patricia, 2019. "Desempeño Académico y Curso de Iniciación Universitaria: Un Análisis de Regresiones Discontinuas || Academic Performance and University Initiation Course: An Analysis of Discontinuous Regressions," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 27(1), pages 207-234, June.
  • Handle: RePEc:pab:rmcpee:v:27:y:2019:i:1:p:217-234
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    More about this item

    Keywords

    evaluación de impacto; diseño regresiones discontinuas; programas de nivelación; deserción; prosecución; impact evaluation; regression discontinuity design; dropout; prosecution.;
    All these keywords.

    JEL classification:

    • L42 - Industrial Organization - - Antitrust Issues and Policies - - - Vertical Restraints; Resale Price Maintenance; Quantity Discounts
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

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