IDEAS home Printed from https://ideas.repec.org/a/aka/aoecon/v70y2020i2p229-249.html
   My bibliography  Save this article

Scores and Clusters of Hungarian Universities

Author

Listed:
  • Zsolt Tibor Kosztyán

    (MTA-PE Budapest Ranking Research Group, Veszprém, Hungary
    Institute of Advanced Studies, University of Pannonia – Kőszeg Campus, Kőszeg, Hungary
    Department of Quantitative Methods, University of Pannonia, Egyetem utca 10, Veszprém, H–8200, Hungary)

  • Vivien Valéria Csányi

    (MTA-PE Budapest Ranking Research Group, Veszprém, Hungary)

  • András Telcs

    (MTA-PE Budapest Ranking Research Group, Veszprém, Hungary
    Department of Quantitative Methods, University of Pannonia, Egyetem utca 10, Veszprém, H–8200, Hungary
    Wigner Research Center for Physics, Budapest, Hungary
    Department of Computer Science and Information Theory, Budapest University of Technology and Economics Budapest, Hungary)

Abstract

We present an application preference, list-based framework to Hungarian universities, which allows different type of flexible aggregation, and hence, analysis and clustering of application data. A novel mathematical method is developed by which preference lists can be converted into scored rankings. The proposed approach is demonstrated in the case of Hungary covering the period of 2006–2015. Our method reveals that the efforts to leverage the geographical center–periphery differences did not fulfil the expectations of policy makers. Also, it turns out that a student’s top preference is very difficult to influence, while recruiters may build their strategy on the information of the first but one choice.

Suggested Citation

  • Zsolt Tibor Kosztyán & Vivien Valéria Csányi & András Telcs, 2020. "Scores and Clusters of Hungarian Universities," Acta Oeconomica, Akadémiai Kiadó, Hungary, vol. 70(2), pages 229-249, June.
    • Handle: RePEc:aka:aoecon:v:70:y:2020:i:2:p:229-249
    DOI: 10.1556/032.2020.00012
    as

    Download full text from publisher

    File URL: https://doi.org/10.1556/032.2020.00012
    Download Restriction: subscription
    File URL: https://libkey.io/10.1556/032.2020.00012?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    application preferences; preference clustering; Hungarian higher education;
    All these keywords.

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions

    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:aka:aoecon:v:70:y:2020:i:2:p:229-249. 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: Kriston, Orsolya (email available below). General contact details of provider: https://akademiai.hu/ .

    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.