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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
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    Citations

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    Cited by:

    1. Diego Opazo & Sebastián Moreno & Eduardo Álvarez-Miranda & Jordi Pereira, 2021. "Analysis of First-Year University Student Dropout through Machine Learning Models: A Comparison between Universities," Mathematics, MDPI, vol. 9(20), pages 1-27, October.
    2. 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;
    All these keywords.

    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

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