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Modelování optimální výše zápisného na české veřejné vysoké školy
[Modeling the optimal level of the enrollment fee at Czech public universities]

Author

Listed:
  • Mazurek, Jiří

Abstract

Public universities in the Czech Republic suffer from insufficient funding for many years. One possibility for an increased funding of Czech public universities is an introduction of a low administrative fee called enrollment fee for each semester of a study. The aim of this article is to show how to find the optimal level of the enrollment fee for a given university so the total revenue of a university for enrolling students is maximal. This is done via mathematical model encompassing parameters such as maximal enrollment fee, sensitivity of enrolling students to the level of the enrollment fee, the number of enrolling students, etc. By improperly adjusted enrollment fee a university can lose millions or tens of millions crowns per year. Thus, the determination of the optimal level of the enrollment fee has high practical value, as it enables a university to maximize its combined revenue from the enrollment fee and the number of enrolling students.

Suggested Citation

  • Mazurek, Jiří, 2014. "Modelování optimální výše zápisného na české veřejné vysoké školy [Modeling the optimal level of the enrollment fee at Czech public universities]," MPRA Paper 57136, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:57136
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    File URL: https://mpra.ub.uni-muenchen.de/57136/1/MPRA_paper_57136.pdf
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    References listed on IDEAS

    as
    1. Bruce D. Craven & Sardar M. N. Islam, 2005. "Optimization in Economics and Finance," Dynamic Modeling and Econometrics in Economics and Finance, Springer, number 978-0-387-24280-4, July-Dece.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Czech Republic; enrollment fee; mathematical modeling; optimization; total revenue; university.;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • I22 - Health, Education, and Welfare - - Education - - - Educational Finance; Financial Aid

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