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The Greek-Turkish Arms Race Using Artificial Neural Networks

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  • Andreou, Andreas S.
  • Zombanakis, George

Abstract

The aim of this paper is to forecast the pressure due to this arms race between Greece and Turkey exercised on the economy of the former. This forecast, established on the basis of the most appropriate explanatory variables, will provide the opportunity to comment on the nature and relative importance of the explanatory variables that determine the burden of this arms race on the Greek economy, as this is approximated by either the military debt of the country or the defence share of GDP. The method of analysis used is that of Artificial Neural Networks, which has been considered preferable to the conventional estimation methods for the purposes of the present analysis for reasons analyzed later on in this paper.

Suggested Citation

  • Andreou, Andreas S. & Zombanakis, George, 2003. "The Greek-Turkish Arms Race Using Artificial Neural Networks," MPRA Paper 78576, University Library of Munich, Germany, revised 14 Jul 2003.
    • Handle: RePEc:pra:mprapa:78576
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    References listed on IDEAS

    as
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    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Arms Race; Neural Networks; Defence Expenditure;
    All these keywords.

    JEL classification:

    • C65 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Miscellaneous Mathematical Tools
    • H56 - Public Economics - - National Government Expenditures and Related Policies - - - National Security and War

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