IDEAS home Printed from https://ideas.repec.org/a/lde/journl/y2006i65p9-36.html
   My bibliography  Save this article

Análisis de los factores asociadosa la deserción y graduación estudiantil universitaria

Author

Listed:
  • Elkin Castaño Vélez

    (Universidad de Antioquia)

  • Santiago Gallón Gómez

    (Universidad de Antioquia)

  • Karoll Gómez Portilla

    (Universidad de Antioquia)

Abstract

High drop-out rates and low graduation rates have become an issue of growing interest for higher education institutions and academic authorities. Since 2003, the University of Antioquia started a process of identification of the main factors associated with this phenomenon. This article presents an analysis of the determinants of drop-out and graduation in two of its schools, carried out by an application of the proportional hazards models of R. Prentice, L. Gloeckler, and B. Meyer set in discrete time. The results confirm the joint impact of individual, socioeconomic, academic, and institutional factors over the risk of dropping out and graduating

Suggested Citation

  • Elkin Castaño Vélez & Santiago Gallón Gómez & Karoll Gómez Portilla, 2006. "Análisis de los factores asociadosa la deserción y graduación estudiantil universitaria," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 65, pages 9-36, Julio-Dic.
  • Handle: RePEc:lde:journl:y:2006:i:65:p:9-36
    as

    Download full text from publisher

    File URL: https://revistas.udea.edu.co/index.php/lecturasdeeconomia/issue/view/313
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Alexander Arévalo S & Víctor Giménez G & Diego Prior J, 2022. "Análisis de eficiencia en educación: una aplicación del método StoNED," Revista Desarrollo y Sociedad, Universidad de los Andes,Facultad de Economía, CEDE, vol. 92(2), pages 45-91, October.

    More about this item

    Keywords

    proportional risk; discrete time duration model; non-observed heterogeneity; censorship; student desertion and graduation;
    All these keywords.

    JEL classification:

    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • I2 - Health, Education, and Welfare - - Education

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:lde:journl:y:2006:i:65:p:9-36. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Carlos Andrés Vasco Correa (email available below). General contact details of provider: https://edirc.repec.org/data/deantco.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.