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Felsőoktatási rangsorok jelentkezői preferenciák alapján
[University rankings on the basis of applicants preferences]

Author

Listed:
  • Csató, László

Abstract

A felsőoktatási intézmények rangsorolása a jelentkezők preferenciái alapján alkalmas lehet számos mérési probléma - például a szempontok önkényes súlyozása - okozta torzítások elkerülésére. Azon feltevés alapján, hogy egy felvételiző pontosan akkor preferál egy objektumot (intézményt, kart, szakot stb.) egy másikkal szemben, ha jelentkezési lapján előrébb szerepelteti, egy súlyozott, irányított gráf generálható, amelynek csúcsai a vizsgált objektumok. A cikk az MTA KRTK adatbankjában elérhető Felvi-adatbázis 2013. évi csaknem teljes körű mintáján - a hálózat részletes elemzése mellett - bemutatja a méret- és összetételhatás kiszűrésének lehetséges eszközeit, valamint három módszer alkalmazásával teljes és részterületekre bontott kari rangsorokat közöl. Journal of Economic Literature (JEL) kód: C44, D71, D85, I23.

Suggested Citation

  • Csató, László, 2016. "Felsőoktatási rangsorok jelentkezői preferenciák alapján [University rankings on the basis of applicants preferences]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(1), pages 27-61.
    • Handle: RePEc:ksa:szemle:1606
    DOI: 10.18414/KSZ.2016.1.27
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    References listed on IDEAS

    as
    1. Török, Ádám & Telcs, András & Kosztyán, Zsolt Tibor, 2013. "Hallgatói preferencia-sorrendek készítése az egyetemi jelentkezések alapján [Preparing student preference rankings based on applications for university]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(3), pages 290-317.
    2. László Csató, 2013. "Ranking by pairwise comparisons for Swiss-system tournaments," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 21(4), pages 783-803, December.
    3. Christopher N. Avery & Mark E. Glickman & Caroline M. Hoxby & Andrew Metrick, 2013. "A Revealed Preference Ranking of U.S. Colleges and Universities," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(1), pages 425-467.
    4. Atila Abdulkadiroğlu & Nikhil Agarwal & Parag A. Pathak, 2015. "The Welfare Effects of Coordinated Assignment: Evidence from the NYC HS Match," NBER Working Papers 21046, National Bureau of Economic Research, Inc.
    5. Michael Spence, 1973. "Job Market Signaling," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 87(3), pages 355-374.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • D71 - Microeconomics - - Analysis of Collective Decision-Making - - - Social Choice; Clubs; Committees; Associations
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions

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