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Cross–Country Dependence, Heterogeneity and the Growth Effects of Military Spending

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  • Kyriakos Emmanouilidis
  • Christos Karpetis

Abstract

Until today, the great majority of the relevant literature is dominated by growth models that assume common structural parameters and Total Factor Productivity (TFP) evolution across countries. In the context of the modified Solow convergence equation, the role of the present paper is to highlight the importance of incorporating cross–country differences, both in observables and unobservables, in the investigation of the defense–growth nexus. Special attention is paid to the heterogeneity in TFP growth and the cross–country dependence induced by global shocks. Furthermore, it analyzes the econometric issues involved by providing a brief review of various heterogeneous dynamic panel estimators. The presented estimators are then applied to two alternative panel specifications of the Solow model. Overall, the empirical application revealed that the Dynamic Common Correlated Effects (DCCE) estimator seems to be the most reliable option among the various dynamic panel estimators employed.

Suggested Citation

  • Kyriakos Emmanouilidis & Christos Karpetis, 2022. "Cross–Country Dependence, Heterogeneity and the Growth Effects of Military Spending," Defence and Peace Economics, Taylor & Francis Journals, vol. 33(7), pages 842-856, October.
    • Handle: RePEc:taf:defpea:v:33:y:2022:i:7:p:842-856
    DOI: 10.1080/10242694.2021.1893454
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    References listed on IDEAS

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    1. Vasilis Sarafidis & Donald Robertson, 2009. "On the impact of error cross-sectional dependence in short dynamic panel estimation," Econometrics Journal, Royal Economic Society, vol. 12(1), pages 62-81, March.
    2. Giorgio d'Agostino & Luca Pieroni & J Paul Dunne, 2010. "Assessing the Effects of Military Expenditure on Growth," Working Papers 1012, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
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