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


  • Tomáš Cahlík
  • Jiří Hlaváček
  • Jana Marková


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, University of Economics, Prague, vol. 2008(1), pages 54-66.
  • Handle: RePEc:prg:jnlpol:v:2008:y:2008:i:1:id:630:p:54-66

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    References listed on IDEAS

    1. Graciela L. Kaminsky, 1998. "Currency and banking crises: the early warnings of distress," International Finance Discussion Papers 629, Board of Governors of the Federal Reserve System (U.S.).
    2. Graciela Kaminsky & Saul Lizondo & Carmen M. Reinhart, 1998. "Leading Indicators of Currency Crises," IMF Staff Papers, Palgrave Macmillan, vol. 45(1), pages 1-48, March.
    3. Graciela L. Kaminsky & Carmen M. Reinhart & Carlos A. Végh, 2005. "When It Rains, It Pours: Procyclical Capital Flows and Macroeconomic Policies," NBER Chapters,in: NBER Macroeconomics Annual 2004, Volume 19, pages 11-82 National Bureau of Economic Research, Inc.
    4. Martin Schneider & Aaron Tornell, 2004. "Balance Sheet Effects, Bailout Guarantees and Financial Crises," Review of Economic Studies, Oxford University Press, vol. 71(3), pages 883-913.
    5. Joon-Ho Hahm & Frederic S. Mishkin, 2000. "Causes of the Korean Financial Crisis: Lessons for Policy," NBER Working Papers 7483, National Bureau of Economic Research, Inc.
    6. Carmen M. Reinhart & Kenneth S. Rogoff, 2004. "Serial Default and the "Paradox" of Rich-to-Poor Capital Flows," American Economic Review, American Economic Association, vol. 94(2), pages 53-58, May.
    7. Reuven Glick & Ramon Moreno & Mark M. Spiegel, 2001. "Financial crises in emerging markets," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, issue mar.23.
    8. Giancarlo Corsetti & Paolo Pesenti & Nouriel Roubini, 1998. "What Caused the Asian Currency and Financial Crisis? Part I: A Macroeconomic Overview," NBER Working Papers 6833, National Bureau of Economic Research, Inc.
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    More about this item


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

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D0 - Microeconomics - - 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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