IDEAS home Printed from https://ideas.repec.org/a/col/000174/005532.html
   My bibliography  Save this article

Análisis de los factores asociadosa la deserción y graduación estudiantil universitaria

Author

Listed:
  • Castano, Elkin
  • Gallón, Santiago
  • Gómez, Karoll
  • Vásquez, Johanna

Abstract

Resumen: Las altas tasas de deserción y bajas tasas de graduación se han convertido en un asunto de creciente interés para las instituciones de educación superior y las autoridades educativas. A partir de 2003, la Universidad de Antioquia inició un proceso de identificación de los principales factores asociados a dicho fenómeno. En este artículo se presenta el análisis sobre los determinantes de la deserción y graduación en dos de sus facultades, realizado a partir de la aplicación de los modelos de riesgo proporcional de Prentice y Gloeckler (1978) y Meyer (1990), en tiempo discreto. Los resultados confirman el impacto conjunto que tienen los factores individuales, socioeconómicos, académicos e institucionales sobre la deserción y la graduación

Suggested Citation

  • Castano, Elkin & Gallón, Santiago & Gómez, Karoll & Vásquez, Johanna, 2006. "Análisis de los factores asociadosa la deserción y graduación estudiantil universitaria," Revista Lecturas de Economía, Universidad de Antioquia, CIE, November.
    • Handle: RePEc:col:000174:005532
    as

    Download full text from publisher

    File URL: http://aprendeenlinea.udea.edu.co/revistas/index.php/lecturasdeeconomia/article/view/2639/2099
    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

    riesgo proporcional; modelo de duración en tiempo discreto; heterogeneidad no observada; censuramiento; deserción y graduación estudiantil;
    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:col:000174:005532. 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: Universidad de Antioquia. Facultad de Ciencias Economicas. (Laura Maria Posada Arboleda) (email available below). General contact details of provider: https://edirc.repec.org/data/ciantco.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.