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Spatio-temporal Analysis of Regional Systems: A Multiregional Spatial Vector Autoregressive Model for Spain

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Author Info

  • JULIAN RAMAJO
  • MIGUEL A. MARQUEZ
  • GEOFFREY J.D. HEWINGS

Abstract

This paper contributes to the recent literature in spatial econometrics that focuses on space-time data modeling implementing a multi-location time-series statistical framework to analyze a regional system. Therefore, taking as a point of departure the Global Vector Autoregression approach introduced in Pesaran et al. (2004), a multiregional spatial vector autoregressive model (MultiREG-SpVAR) is formulated and then applied to study the spatio-temporal transmission of macroeconomic shocks across the regions in Spain. The empirical application analyzes the extent to which a region?s economic output growth is influenced by the growth of its neighbors (push-in or inward growth effect), and also investigates the relevance of spillovers derived from temporary region specific output growth shocks (push-out or outward growth effect). Our results identify some regions that perform as ?growth generating? within the Spanish regional system since growth shocks from these regions spill over to a large number of regions of the country, playing a key role in transmitting regional business cycles. The policy implications of our results suggest that national and/or regional governments should stimulate economic activity in these leading regions in order to favor the economic recovery process of the whole Spanish economy.

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File URL: http://www-sre.wu.ac.at/ersa/ersaconfs/ersa13/ERSA2013_paper_00159.pdf
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Bibliographic Info

Paper provided by European Regional Science Association in its series ERSA conference papers with number ersa13p159.

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Date of creation: Nov 2013
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Handle: RePEc:wiw:wiwrsa:ersa13p159

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Related research

Keywords: Regional growth; spatial econometrics; vector autoregressions; spillovers.;

References

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  1. Hans DEWACHTER & Romain HOUSSA & Priscilla TOFFANO, 2010. "Spatial propagation of macroeconomic shocks in Europe," Center for Economic Studies - Discussion papers ces10.12, Katholieke Universiteit Leuven, Centrum voor Economische Studiën.
  2. Luisa Corrado & Bernard Fingleton, 2011. "Where is the Economics in Spatial Econometrics?," Working Papers 1101, University of Strathclyde Business School, Department of Economics.
  3. Ryan R. Brady, 2007. "Measuring the diffusion of housing prices across space and over time," Departmental Working Papers 19, United States Naval Academy Department of Economics.
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  12. BARRIOS, Salvador & de LUCIO, Juan José, 2002. "Economic integration and regional business cycles: Evidence from the Iberian regions," CORE Discussion Papers 2002073, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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  15. Todd H. Kuethe & Valerien Pede, 2009. "Regional Housing Price Cycles: A Spatio-Temporal Analysis Using Us State Level," Working Papers 09-04, Purdue University, College of Agriculture, Department of Agricultural Economics.
  16. Jean Imbs, 2003. "Trade, Finance, Specialization, and Synchronization," IMF Working Papers 03/81, International Monetary Fund.
  17. Christian Dreger & Konstantin Kholodilin & Michael Artis, 2011. "What drives regional business cycles? The role of common and spatial components," ERSA conference papers ersa10p317, European Regional Science Association.
  18. J. Elhorst, 2012. "Dynamic spatial panels: models, methods, and inferences," Journal of Geographical Systems, Springer, vol. 14(1), pages 5-28, January.
  19. Jesús Mur & Fernando López, 2010. "Modeling spatiotemporal data: an issue in honor of Dr. Jean Paelinck," Journal of Geographical Systems, Springer, vol. 12(2), pages 105-109, June.
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