IDEAS home Printed from https://ideas.repec.org/a/lap/journl/543.html
   My bibliography  Save this article

Determinants in University Desertion and Graduation: An Application using Duration Models

Author

Listed:
  • Paula Giovagnoli

    (Centro de Estudios Distributivos, Laborales y Sociales (CEDLAS), Departamento de Economía, Universidad Nacional de La Plata)

Abstract

This study examines the issue of student departure from a public university. Non-parametric proportional hazard models are used to estimate the quantitative and qualitative effects of the students’ personal and socioeconomic characteristics on the probability of their dropping out or graduating. Data include a cohort of students who started studying accounting at the National University of Rosario, Argentina, in 1991. The results are useful to evaluate and design public policies in the educational sector.

Suggested Citation

  • Paula Giovagnoli, 2005. "Determinants in University Desertion and Graduation: An Application using Duration Models," Económica, Departamento de Economía, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, vol. 0(1-2), pages 59-90, January-D.
  • Handle: RePEc:lap:journl:543
    as

    Download full text from publisher

    File URL: http://www.depeco.econo.unlp.edu.ar/economica/ing/resumen-articulo.php?param=5¶m2=21
    Download Restriction: no

    Citations

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


    Cited by:

    1. Rossella Iraci Capuccinello, 2014. "Determinants and timing of dropping out decisions: evidence from the UK FE sector," Working Papers 15742191, Lancaster University Management School, Economics Department.

    More about this item

    Keywords

    University students; drop out and graduation; duration models;

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies

    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:lap:journl:543. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Margarita Machelett). General contact details of provider: http://edirc.repec.org/data/funlpar.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.