IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

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

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

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.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www-sre.wu.ac.at/ersa/ersaconfs/ersa13/ERSA2013_paper_00159.pdf
Download Restriction: no

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

as
in new window

Length:
Date of creation: Nov 2013
Date of revision:
Handle: RePEc:wiw:wiwrsa:ersa13p159
Contact details of provider: Postal: Welthandelsplatz 1, 1020 Vienna, Austria
Web page: http://www.ersa.org

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Jean Imbs, 2003. "Trade, Finance, Specialization, and Synchronization," IMF Working Papers 03/81, International Monetary Fund.
  2. 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).
  3. Mas Ivars Matilde & Pérez García Francisco & Uriel Jiménez Ezequiel, 2012. "El stock y los servicios de capital en España y su distribución territorial y sectorial (1964-2010)," Working Papers 2012109, Fundacion BBVA / BBVA Foundation.
  4. Calderon, Cesar & Chong, Alberto & Stein, Ernesto, 2007. "Trade intensity and business cycle synchronization: Are developing countries any different?," Journal of International Economics, Elsevier, vol. 71(1), pages 2-21, March.
  5. Neusser, Klaus, 2008. "Interdependencies of US manufacturing sectoral TFPs: A spatial VAR approach," Journal of Macroeconomics, Elsevier, vol. 30(3), pages 991-1004, September.
  6. Ana Gomez Loscos & M. Dolores Gadea & Antonio Montañes, 2011. "Cycles inside cycles: Spanish regional aggregation," ERSA conference papers ersa11p99, European Regional Science Association.
  7. J. Elhorst, 2012. "Dynamic spatial panels: models, methods, and inferences," Journal of Geographical Systems, Springer, vol. 14(1), pages 5-28, January.
  8. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
  9. Matteo Ciccarelli & Fabio Canova, 2006. "Estimating Multi-country VAR models," Computing in Economics and Finance 2006 478, Society for Computational Economics.
  10. Luisa Corrado & Bernard Fingleton, 2012. "Where Is The Economics In Spatial Econometrics?," Journal of Regional Science, Wiley Blackwell, vol. 52(2), pages 210-239, 05.
  11. Valter Giacinto, 2010. "On vector autoregressive modeling in space and time," Journal of Geographical Systems, Springer, vol. 12(2), pages 125-154, June.
  12. Azomahou, Théophile & Diebolt, Claude & Mishra, Tapas, 2009. "Spatial persistence of demographic shocks and economic growth," Journal of Macroeconomics, Elsevier, vol. 31(1), pages 98-127, March.
  13. 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.
  14. Ryan R. Brady, 2011. "Measuring the diffusion of housing prices across space and over time," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(2), pages 213-231, March.
  15. Miguel Márquez & Julián Ramajo & Geoffrey Hewings, 2010. "Measuring the spillover effects of public capital: a bi-regional structural vector autoregressive analysis," Letters in Spatial and Resource Sciences, Springer, vol. 3(3), pages 111-125, October.
  16. Sergio J. Rey & Mark V. Janikas, 2004. "STARS: Space-Time Analysis of Regional Systems," Urban/Regional 0406001, EconWPA.
  17. 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.
  18. 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.
  19. 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.
  20. Valter Di Giacinto, 2006. "A Generalized Space-Time ARMA Model with an Application to Regional Unemployment Analysis in Italy," International Regional Science Review, , vol. 29(2), pages 159-198, April.
  21. Michael Beenstock & Daniel Felsenstein, 2007. "Spatial Vector Autoregressions," Spatial Economic Analysis, Taylor & Francis Journals, vol. 2(2), pages 167-196.
  22. Di Giacinto, Valter, 2002. "Differential regional effects of monetary policy: a geographical SVAR approach," ERSA conference papers ersa02p257, European Regional Science Association.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:wiw:wiwrsa:ersa13p159. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Gunther Maier)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.