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Erschienen in:
2018 | Supplement | Buchkapitel
Spatially Augmented Analysis of Macroeconomic Convergence with Application to the Czech Republic and Its Neighbors
verfasst von : Tomáš Formánek
Erschienen in: Applied Computational Intelligence and Mathematical Methods
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Abstract
This paper deals with macroeconomic convergence at the NUTS2 level for the following six countries: Czechia, Slovakia, Poland, Hungary, Germany and Austria. Prominent spatial dependencies are identified and compared to the Solow-Swan type convergence. The estimation and testing is performed using spatial panel data methodology. At the theoretical and empirical level, properties and performance of spatial panel models are compared with classical cross-sectional and panel (non-spatial) approaches. Given the variety of available frameworks of modeling and estimation of spatial dependencies, significant proportion of this paper is devoted to model specification and robustness analysis issues. Also, topics relevant for appropriate interpretation of the estimated spatio-temporal models are included.