Scores and Clusters of Hungarian Universities

Zsolt Tibor Kosztyán (), Vivien Valéria Csányi and Andras Telcs
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Zsolt Tibor Kosztyán: MTA-PE Budapest Ranking Research Group, Veszprém, Hungary
Vivien Valéria Csányi: MTA-PE Budapest Ranking Research Group, Veszprém, Hungary

Acta Oeconomica, 2020, vol. 70, issue 2, 229-249

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.

Keywords: application preferences; preference clustering; Hungarian higher education (search for similar items in EconPapers)
JEL-codes: C02 I23 (search for similar items in EconPapers)
Date: 2020
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