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Agent Based Modelling of Aid

Author

Listed:
  • Andras Margitay-Becht

    (Economics Department, Budapest University of Technology and Economics, Budapest, Hungary)

Abstract

The issue of modelling international financial aid to underdeveloped countries baffled economists for decades. The initial assumptions (that outside aid could help bolster up the internally insufficient investment, thus helping economic growth) were statistically proven wrong; most of the recipient countries did not experience rapid growth, rather an increasing dependence on foreign aid. The question arises: what causes some countries to use the aid successfully whereas most fail to do so? What is the underlying reason for this difference across regions? And how could it be modelled? In this paper I would like to show, that a hierarchical agent-based model might be able to model the complex international cooperation among aid-giving organizations and recipient countries, so that some light could be shed on the mechanics of efficient aid distribution. Classification-ACM-1998: J.4 [Computer Applications]; Social and behavioral sciences - Sociology

Suggested Citation

  • Andras Margitay-Becht, 2005. "Agent Based Modelling of Aid," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 3(2), pages 84-93.
    • Handle: RePEc:zna:indecs:v:3:y:2005:i:2:p:84-93
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    References listed on IDEAS

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    1. Mr. Tsidi M Tsikata, 1998. "Aid Effectiveness: A Survey of the Recent Empirical Literature," IMF Policy Discussion Papers 1998/001, International Monetary Fund.
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    Cited by:

    1. Zsolt Gilanyi, 2005. "Modelling Markets Versus Market Economies: Success and Failure," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 3(2), pages 94-99.

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    More about this item

    Keywords

    growth; aid; agent-based modelling; adaptive agents;
    All these keywords.

    JEL classification:

    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications

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