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Misspecification in Linear Spatial Regression Models

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  • Raymond J.G.M. Florax

    ()
    (Vrije Universiteit Amsterdam and University of Amsterdam)

  • Peter Nijkamp

    ()
    (Vrije Universiteit Amsterdam)

Abstract

Spatial effects are endemic in models based on spatially referenced data. The increased awareness of the relevance of spatial interactions, spatial externalities and networking effects among actors, evoked the area of spatial econometrics. Spatial econometrics focuses on the specification and estimation of regression models explicitly incorporating such spatial effects. The multidimensionality of spatial effects calls for misspecification tests and estimators that are notably different from techniques designed for the analysis of time series. With that in mind, we introduce the notion of spatial effects, referring to both heterogeneity and interdependence of phenomena occurring in two-dimensional space. Spatial autocorrelation or dependence can be detected by means of cross-correlation statistics in univariate as well as multivariate data settings. We review tools for exploratory spatial data analysis and misspecification tests for spatial effects in linear regress!ion models. A discussion of specification strategies and an overview of available software for spatial regression analysis, including their main functionalities, intend to give practitioners of spatial data analysis a head start.

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Bibliographic Info

Paper provided by Tinbergen Institute in its series Tinbergen Institute Discussion Papers with number 03-081/3.

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Date of creation: 08 Oct 2003
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Handle: RePEc:dgr:uvatin:20030081

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Web page: http://www.tinbergen.nl

Related research

Keywords: spatial econometrics; spatial autocorrelation; spatial heterogeneity; misspecification testing;

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References

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  1. Badi H. Baltagi & Seuck Heun Song & Won Koh, 2002. "Testing Panel Data Regression Models with Spatial Error Correlation," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 B6-4, International Conferences on Panel Data.
  2. Raymond J.G.M. Florax & Hendrik Folmer & Sergio J. Rey, 2002. "Specification Searches in Spatial Econometrics: The Relevance of Hendry's Methodology," Urban/Regional 0202001, EconWPA.
  3. A Getis, 1991. "Spatial interaction and spatial autocorrelation: a cross product approach," Environment and Planning A, Pion Ltd, London, vol. 23(9), pages 1269-1277, September.
  4. Anselin, Luc & Bera, Anil K. & Florax, Raymond & Yoon, Mann J., 1996. "Simple diagnostic tests for spatial dependence," Regional Science and Urban Economics, Elsevier, vol. 26(1), pages 77-104, February.
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Cited by:
  1. Karsten Rusche, . "Quality of Life in the Regions: An Exploratory Spatial Data Analysis for West German Labor Markets," Working Papers 200120, Institute of Spatial and Housing Economics, Munster Universitary.
  2. 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.
  3. Cho, Seong-Hoon & Kim, Seung Gyu & Clark, Christopher D. & Park, William M., 2007. "Spatial Analysis of Rural Economic Development Using a Locally Weighted Regression Model," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 36(1), April.
  4. Simonetta Longhi & Peter Nijkamp, 2005. "Forecasting Regional Labour Market Developments Under Spatial Heterogeneity and Spatial Autocorrelation," Tinbergen Institute Discussion Papers 05-041/3, Tinbergen Institute.
  5. Stéphane VIROL (IERSO-IFReDE-GRES), 2006. "Three dimensions of regional integration process in Europe: an approach by spatial econometrics (In French)," Cahiers du GRES 2006-16, Groupement de Recherches Economiques et Sociales.
  6. Longhi, Simonetta & Nijkamp, Peter, 2006. "Forecasting regional labor market developments under spatial heterogeneity and spatial correlation," Serie Research Memoranda 0015, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
  7. Modrego, F. & Celis, X. & Berdegué, J., 2008. "Polarización étnica de los ingresos rurales en el sur de Chile," Working papers 015, Rimisp Latin American Center for Rural Development.
  8. Tadao Hoshino & Koichi Kuriyama, 2010. "Measuring the Benefits of Neighbourhood Park Amenities: Application and Comparison of Spatial Hedonic Approaches," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 45(3), pages 429-444, March.
  9. Pei Li, 2008. "Metropolitan economic growth and spatial dependence: Evidence from a panel of China," Psychometrika, Springer, vol. 3(2), pages 277-295, June.
  10. Arnstein Gjestland & David McArthur & Liv Osland & Inge Thorsen, 2011. "Relationships between housing prices and commuting flows," ERSA conference papers ersa10p906, European Regional Science Association.
  11. Cem Ertur & Thiaw Kalidou, 2005. "Growth and Spatial Dependence - The Mankiw, Romer and Weil model revisited," ERSA conference papers ersa05p660, European Regional Science Association.
  12. Johan Lundberg, 2006. "Spatial interaction model of spillovers from locally provided public services," Regional Studies, Taylor & Francis Journals, vol. 40(6), pages 631-644.
  13. Arnstein Gjestland & David McArthur & Liv Osland & Inge Thorsen, 2011. "Alternative methods for quantifying commuting-related benefits of new transport infrastructure," ERSA conference papers ersa11p1223, European Regional Science Association.

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