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Title: Financial versus human resources in the Greek-Turkish arms race: A forecasting investigation using artificial neural networks
Authors: Andreou, Andreas S. 
Zombanakis, G. A. 
metadata.dc.contributor.other: Ανδρέου, Ανδρέας Σ.
Major Field of Science: Engineering and Technology
Field Category: Electrical Engineering - Electronic Engineering - Information Engineering
Keywords: Defence expenditure;Greek military debt;Neural networks
Issue Date: 1-Feb-2000
Source: Defence and Peace Economics, 2000, vol. 11, no. 4, pp. 403-426.
Volume: 11
Issue: 4
Start page: 403
End page: 426
Journal: Defence and Peace Economics 
Abstract: This paper aims at forecasting the burden on the Greek economy resulting from the arms race against Turkey and at concentrating on the leading determinants of this burden. The military debt and the defence share of GDP are employed alternatively in order to approximate the measurement of the arms race pressure on Greece, and the method used is that of artificial neural networks. The use of a wide variety of explanatory variables in combination with the promising results derived, suggest that the impact on the Greek economy resulting from this arms race is determined, to a large extent, by demographic factors which strongly favour the Turkish side. Prediction on both miltary debt and defence expenditure exhibited highly satisfactory accuracy, while the estimation of input significance, indicates that variables describing the Turkish side are often dominant over the corresponding Greek ones.
ISSN: 1024-2694
DOI: 10.1080/10430710008404956
Rights: ©Τaylor and francis group
Attribution-NonCommercial-NoDerivs 3.0 United States
Type: Article
Affiliation : University of Patras 
Bank of Greece 
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

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