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Student Dropout in Higher Education: An Application of Hazard Functions

Author

Listed:
  • Maja Mihaljevic Kosor

    (Faculty of Economics, University of Split)

Abstract

Hazard functions are a part of survival analysis which is a branch of statistics dealing with failure in mechanical systems and death in biological organisms e.g. lifetime or reliability of machine components, survival times of patients in clinical trials. Here, the interest is focused on a group of individuals, for which there is a defined point event, often referred to as failure, arising after a length of time, referred to as the failure time. To gain more insight into student dropout we examine the application of hazard functions in higher education. In such a model, the probability is investigated that the student will complete/leave a degree in a given year conditional on him/her having ?survived? the programme up to that point. This may allow a wider analysis as it captures both students who have and have not completed their studies and examines the impact of selected variables for the duration of student?s higher education course.

Suggested Citation

  • Maja Mihaljevic Kosor, 2016. "Student Dropout in Higher Education: An Application of Hazard Functions," Proceedings of International Academic Conferences 3506156, International Institute of Social and Economic Sciences.
    • Handle: RePEc:sek:iacpro:3506156
    as

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    File URL: https://iises.net/proceedings/22nd-international-academic-conference-lisbon/table-of-content/detail?cid=35&iid=037&rid=6156
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    References listed on IDEAS

    as
    1. Wiji Arulampalam & Robin A. Naylor & Jeremy P. Smith, 2004. "A hazard model of the probability of medical school drop‐out in the UK," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 167(1), pages 157-178, February.
    2. Häkkinen, Iida & Uusitalo, Roope, 2003. "The Effect of a Student Aid Reform on Graduation: A Duration Analysis," Working Paper Series 2003:8, Uppsala University, Department of Economics.
    3. Ronald G. Ehrenberg & Panagiotis G. Mavros, 1995. "Do Doctoral Students' Financial Support Patterns Affect Their Times-To-Degree and Completion Probabilities?," Journal of Human Resources, University of Wisconsin Press, vol. 30(3), pages 581-609.
    4. Kiefer, Nicholas M, 1988. "Economic Duration Data and Hazard Functions," Journal of Economic Literature, American Economic Association, vol. 26(2), pages 646-679, June.
    5. Nickell, Stephen J, 1979. "Estimating the Probability of Leaving Unemployment," Econometrica, Econometric Society, vol. 47(5), pages 1249-1266, September.
    6. Lancaster, Tony, 1979. "Econometric Methods for the Duration of Unemployment," Econometrica, Econometric Society, vol. 47(4), pages 939-956, July.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    hazard functions; student droput; duration analysis;
    All these keywords.

    JEL classification:

    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • I29 - Health, Education, and Welfare - - Education - - - Other
    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General

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