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A test strategy for spurious spatial regression, spatial nonstationarity, and spatial cointegration

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  • Jørgen Lauridsen
  • Reinhold Kosfeld

Abstract

A test strategy consisting of a two-step Lagrange Multiplier test is suggested as a device to reveal spatial nonstationarity and spurious spatial regression. It is further illustrated how the test strategy can be used as a diagnostic for presence of a spatial cointegrating relationship between two variables. Using Monte Carlo simulations it is shown that the small-sample behaviour of the test strategy is as desired in these cases. Copyright (c) 2006 the author(s). Journal compilation (c) 2006 RSAI.

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Bibliographic Info

Article provided by Wiley Blackwell in its journal Papers in Regional Science.

Volume (Year): 85 (2006)
Issue (Month): 3 (08)
Pages: 363-377

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Handle: RePEc:bla:presci:v:85:y:2006:i:3:p:363-377

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Web page: http://www.blackwellpublishing.com/journal.asp?ref=1056-8190

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References

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  1. Jørgen Lauridsen, 2006. "Spatial autoregressively distributed lag models: equivalent forms, estimation, and an illustrative commuting model," The Annals of Regional Science, Springer, vol. 40(2), pages 297-311, June.
  2. Sergio Rey & Brett Montouri, 1999. "US Regional Income Convergence: A Spatial Econometric Perspective," Regional Studies, Taylor & Francis Journals, vol. 33(2), pages 143-156.
  3. Jorgen Lauridsen & Birgit Nahrstedt, 1998. "Spatial patterns in intermunicipal Danish commuting," ERSA conference papers ersa98p441, European Regional Science Association.
  4. Mur, Jesus, 2002. "On the specification of spatial econometric models," ERSA conference papers ersa02p012, European Regional Science Association.
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Cited by:
  1. Badi H. Baltagi & Chihwa Kao & Long Liu, 2012. "The Estimation and Testing of a Linear Regression with Near Unit Root in the Spatial Autoregressive Error Term," Center for Policy Research Working Papers 151, Center for Policy Research, Maxwell School, Syracuse University.
  2. Lauridsen, J. & Kosfeld, R., 2004. "A wald Test for Spatial Nonstationarity," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 22, pages 1-12, Diciembre.
  3. Badi H. Baltagi & Bernard Fingleton & Alain Pirotte, 2013. "Spatial Lag Models with Nested Random Effects: An Instrumental Variable Procedure with an Application to English House Prices," Center for Policy Research Working Papers 161, Center for Policy Research, Maxwell School, Syracuse University.
  4. Reinhold Kosfeld & Jorgen Lauridsen, 2004. "Dynamic spatial modelling of regional convergence processes," Empirical Economics, Springer, vol. 29(4), pages 705-722, December.
  5. repec:asg:wpaper:1013 is not listed on IDEAS
  6. Tony Smith & Ka Lee, 2012. "The effects of spatial autoregressive dependencies on inference in ordinary least squares: a geometric approach," Journal of Geographical Systems, Springer, vol. 14(1), pages 91-124, January.
  7. Andrea Vaona, 2010. "Spatial autocorrelation and the sensitivity of RESET: a simulation study," Journal of Geographical Systems, Springer, vol. 12(1), pages 89-103, March.
  8. Filiz Yesilyurt & J. Elhorst, 2014. "A regional analysis of inflation dynamics in Turkey," The Annals of Regional Science, Springer, vol. 52(1), pages 1-17, January.
  9. Jørgen Lauridsen & Reinhold Kosfeld, 2007. "Spatial cointegration and heteroscedasticity," Journal of Geographical Systems, Springer, vol. 9(3), pages 253-265, September.

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