IDEAS home Printed from https://ideas.repec.org/p/uwa/wpaper/05-26.html

Student Outcomes at University in Autsralia: A Quantile Regression Approach

Author

Listed:
  • Elisa Rose Birch

    (Department of Economics, The University of Western Australia)

  • Paul W. Miller

    (Department of Economics, The University of Western Australia)

Abstract

Students’ success during their first year at university is largely influenced by their university entrance score. Personal characteristics and secondary school characteristics also impact on success. This paper uses quantile regression to investigate how the effects of these factors vary along the grade distribution. It finds that the factors which influence grades have a more pronounced impact on the success of low-achieving students than on that of high-achieving students. These results have implications for student selection and also for the way scholarships may be used to attract talented high school students.

Suggested Citation

  • Elisa Rose Birch & Paul W. Miller, 2005. "Student Outcomes at University in Autsralia: A Quantile Regression Approach," Economics Discussion / Working Papers 05-26, The University of Western Australia, Department of Economics.
    • Handle: RePEc:uwa:wpaper:05-26
    as

    Download full text from publisher

    File URL: https://ecompapers.biz.uwa.edu.au/paper/PDF%20of%20Discussion%20Papers/2005/05_26_Miller.pdf
    File Function: First version, 2005
    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. Viviana Carcaiso & Leonardo Grilli, 2023. "Quantile regression for count data: jittering versus regression coefficients modelling in the analysis of credits earned by university students after remote teaching," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(4), pages 1061-1082, October.
    2. Grace Chia & Paul W Miller, 2007. "Tertiary Performance, Field of Study and Graduate Starting Salaries," Economics Discussion / Working Papers 07-12, The University of Western Australia, Department of Economics.
    3. Hildete P. Pinheiro & Rafael P. Maia & Eufrásio A. Lima Neto & Mariana Rodrigues-Motta, 2019. "Zero-one augmented beta and zero-inflated discrete models with heterogeneous dispersion for the analysis of student academic performance," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 28(4), pages 749-767, December.
    4. Steve Agnew & Paul Bostock & Ellie Kay & Kaylene Sampson & Russell Wordsworth, 2024. "How Does Level Three National Certificate of Educational Achievement (NCEA) Economics Standards Performance Predict Academic Attainment in a First-Year Microeconomics Course?," Working Papers in Economics 24/17, University of Canterbury, Department of Economics and Finance.
    5. Juliana Guimarães & Breno Sampaio, 2007. "The Influence Of Family Background And Individual Characteristics On Entrance Tests Scores Of Brazilian University Students," Anais do XXXV Encontro Nacional de Economia [Proceedings of the 35th Brazilian Economics Meeting] 092, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    6. Juliana Guimarães & Breno Sampaio, 2008. "Mind the Gap: Evidences from Gender Differences in Scores in Brazil," Anais do XXXVI Encontro Nacional de Economia [Proceedings of the 36th Brazilian Economics Meeting] 200807211527140, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    7. Girijasankar Mallik & John Lodewijks, 2010. "Student Performance in a Large First Year Economics Subject: Which Variables are Significant?," Economic Papers, The Economic Society of Australia, vol. 29(1), pages 80-86, March.
    8. Elisa Rose Birch & Paul W Miller, 2007. "The Characteristics of ‘Gap‐Year’ Students and Their Tertiary Academic Outcomes," The Economic Record, The Economic Society of Australia, vol. 83(262), pages 329-344, September.
    9. Buly A. Cardak & Joe Vecci, 2016. "Graduates, Dropouts and Slow Finishers: The Effects of Credit Constraints on University Outcomes," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(3), pages 323-346, June.
    10. Hildete P. Pinheiro & Pranab K. Sen & Aluísio Pinheiro & Samara F. Kiihl, 2020. "A nonparametric approach to assess undergraduate performance," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 74(4), pages 538-558, November.
    11. Bizon, Wojciech, 2018. "“Tell them it's easy”: Framing incentives in learning basic statistical problems," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 76(C), pages 76-81.
    12. Mallik, Girijasankar & Shankar, Sriram, 2016. "Does prior knowledge of economics and higher level mathematics improve student learning in principles of economics?," Economic Analysis and Policy, Elsevier, vol. 49(C), pages 66-73.

    More about this item

    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:uwa:wpaper:05-26. 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: Sam Tang (email available below). General contact details of provider: https://edirc.repec.org/data/deuwaau.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.