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Modeling Spatial Autocorrelation In Spatial Interaction Data: An Application To Patent Citation Data In The European Union

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  • Manfred M. Fischer
  • Daniel A. Griffith

Abstract

Spatial interaction models of the gravity type are widely used to model origin-destination flows. They draw attention to three types of variables to explain variation in spatial interactions across geographic space: variables that characterize an origin region of a flow, variables that characterize a destination region of a flow, and finally variables that measure the separation between origin and destination regions. This paper outlines and compares two approaches, the spatial econometric and the eigenfunction-based spatial filtering approach, to deal with the issue of spatial autocorrelation among flow residuals. An example using patent citation data that capture knowledge flows across 112 European regions serves to illustrate the application and the comparison of the two approaches. Copyright (c) 2008, Wiley Periodicals, Inc.

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Bibliographic Info

Article provided by Wiley Blackwell in its journal Journal of Regional Science.

Volume (Year): 48 (2008)
Issue (Month): 5 ()
Pages: 969-989

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Handle: RePEc:bla:jregsc:v:48:y:2008:i:5:p:969-989

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Cited by:
  1. Matthias Koch, 2012. "Spatial Filtering and Model Interpretation for Spatial Durbin Models," ERSA conference papers ersa12p1021, European Regional Science Association.
  2. Corinne Autant-Bernard, 2011. "Spatial econometrics of innovation: Recent contributions and research perspectives," Working Papers halshs-00605056, HAL.
  3. Georgios Fotopoulos & Helen Louri, 2011. "On the geography of international banking: the role of third-country effects," Working Papers 125, Bank of Greece.
  4. Montresor, Elisa & Pecci, Francesco & Pontarollo, Nicola, 2011. "The convergence process of the European regions: the role of Regional Policy and the Common Agricultural Policy," Studies in Agricultural Economics, Research Institute for Agricultural Economics, vol. 113(2), October.
  5. Georgios Fotopoulos & Helen Louri, 2011. "On the Geography of International Banking: a case for spatial econometrics?," ERSA conference papers ersa10p1081, European Regional Science Association.
  6. Giuseppe Ricciardo Lamonica & Barbara Zagaglia, 2013. "The determinants of internal mobility in Italy, 1995-2006," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 29(16), pages 407-440, September.
  7. Tamara Mata & Carlos Llano, 2013. "Social networks and trade of services: modelling interregional flows with spatial and network autocorrelation effects," Journal of Geographical Systems, Springer, vol. 15(3), pages 319-367, July.
  8. Wolfgang Polasek & Richard Sellner, 2011. "Does Globalization affect Regional Growth? Evidence for NUTS-2 Regions in EU-27," Working Paper Series 24_11, The Rimini Centre for Economic Analysis.
  9. Yongwan Chun, 2008. "Modeling network autocorrelation within migration flows by eigenvector spatial filtering," Journal of Geographical Systems, Springer, vol. 10(4), pages 317-344, December.
  10. repec:asg:wpaper:1013 is not listed on IDEAS

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