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Školné či dotace? (simulace s modely systému vysokých škol)
[Tuitions or subsidies? (simulations with models of the university system)]

Author

Listed:
  • Tomáš Cahlík
  • Jiří Hlaváček
  • Jana Marková

Abstract

The impact of different financing alternatives on two simple models of the university system is analysed in this paper. Both models are agent - based, the reason is that we analyse a system of heterogeneous universities instead of a representative university. Models differ in the rules for the decision-making of universities. In the first - optimising model - each university in each period maximalizes the probability of survival, control variables are the income of universities and the salary of teachers. In the second model we implicitly assume constrained rationality or shortage of relevant information and each university in each period reacts according to simple rules on the difference between the number of applicants and its capacity. Basic result is that the behaviour of models in different situations differs with the financing alternatives and it would be an oversimplification to generalize that some of the financing alternative is always the best.

Suggested Citation

  • Tomáš Cahlík & Jiří Hlaváček & Jana Marková, 2008. "Školné či dotace? (simulace s modely systému vysokých škol) [Tuitions or subsidies? (simulations with models of the university system)]," Politická ekonomie, Prague University of Economics and Business, vol. 2008(1), pages 54-66.
  • Handle: RePEc:prg:jnlpol:v:2008:y:2008:i:1:id:630:p:54-66
    DOI: 10.18267/j.polek.630
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    References listed on IDEAS

    as
    1. J. Stanley Metcalfe & John Foster (ed.), 2004. "Evolution and Economic Complexity," Books, Edward Elgar Publishing, number 3216.
    2. John Foster & Werner Hölzl (ed.), 2004. "Applied Evolutionary Economics and Complex Systems," Books, Edward Elgar Publishing, number 3061.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    agent-based approach; financing in the educational sector; maximalization of survival probability; procedural rationality;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D00 - Microeconomics - - General - - - General
    • H52 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Education
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

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