IDEAS home Printed from https://ideas.repec.org/p/col/000416/014295.html
   My bibliography  Save this paper

Factores que afectan la elección de carrera: caso Bogotá

Author

Listed:
  • Luz Adriana Pineda Barón

Abstract

Uno de los problemas que influyen en la formación de capital humano es la inadecuada elección de carrera. Esta elección está altamente condicionada a la certeza vocacional que el estudiante tiene al momento de culminar sus estudios de secundaria. El objetivo de este trabajo es encontrar a través de un Modelo Logit Multinomial los factores individuales, socioeconómicos, académicos, de preferencias y de expectativas salariales que afectaron la elección de un programa académico de educación superior, de los estudiantes que presentaron la Prueba Saber 11 en el primer periodo del ano 2009 y la Prueba Saber Pro en el segundo periodo del ano 2013, matriculados en un programa de modalidad presencial en Bogotá. Se encuentra que la elección de carrera está asociada al género, a la educación superior de la madre del estudiante, a los ingresos familiares, a los resultados de la Prueba Saber 11, discriminada por áreas y a las expectativas salariales.

Suggested Citation

  • Luz Adriana Pineda Barón, 2015. "Factores que afectan la elección de carrera: caso Bogotá," Vniversitas Económica 14295, Universidad Javeriana - Bogotá.
  • Handle: RePEc:col:000416:014295
    as

    Download full text from publisher

    File URL: http://www.dotec-colombia.org/administrator/index.php?option=com_content&view=article&layout=edit
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Wagner Enoc Vicente-Ramos & Brenda Gonzales Silva & Shirley Teresa Nuñez Merino & Silvana Marjorie Paucar Lazo & Christian R. Mejia, 2020. "Academic Motivations of Pregrade Students in the Choice of International Business Career," International Journal of Higher Education, Sciedu Press, vol. 9(2), pages 1-85, April.

    More about this item

    Keywords

    Capital humano; elección de carrera; Modelo Logit Multinomial; probabilidad; relación de riesgo relativo.;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • I25 - Health, Education, and Welfare - - Education - - - Education and Economic Development

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:000416:014295. 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: Mayerly Galindo Rodriguez (email available below). General contact details of provider: .

    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.