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Estimation of the coefficients of a linear regression in the presence of spatial autocorrelation. An application to a Belgian labour-demand function


  • P Bodson
  • D Peeters


Regression analyses of a spatially distributed variable is a common technique in urban and regional planning. Frequently, however, the disturbance terms are not completely independent but exhibit spatial autocorrelation. A method is proposed for taking account of this spatial autocorrelation and is illustrated by means of an application to a Belgian labour-demand function.

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  • P Bodson & D Peeters, 1975. "Estimation of the coefficients of a linear regression in the presence of spatial autocorrelation. An application to a Belgian labour-demand function," Environment and Planning A, Pion Ltd, London, vol. 7(4), pages 455-472, April.
  • Handle: RePEc:pio:envira:v:7:y:1975:i:4:p:455-472

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    Cited by:

    1. Jesus Mur & Marcos Herrera & Manuel Ruiz, 2011. "Selecting the W Matrix. Parametric vs Nonparametric Approaches," ERSA conference papers ersa11p1055, European Regional Science Association.
    2. Paelinck, Jean & Mur, Jesús & Trivez, F. Javier, 2015. "Modelos para datos espaciales con estructura transversal o de panel. Una revisión/Models for Spatial Data with Panel or Cross-Sectional Structure. A Review," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 33, pages 7-30, Enero.
    3. Sandy Dall'erba & Eveline Van Leeuwen, 2006. "Does Agricultural Employment Benefit From Eu Support?," ERSA conference papers ersa06p96, European Regional Science Association.
    4. Julie Le Gallo & Sandy Dall'erba, 2008. "Spatial and sectoral productivity convergence between European regions, 1975-2000," Papers in Regional Science, Wiley Blackwell, vol. 87(4), pages 505-525, November.
    5. Burridge, Peter, 2011. "A research agenda on general-to-specific spatial model search," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 21, pages 71-90.
    6. Alamá-Sabater, Luisa & Heid, Benedikt & Jiménez-Fernández, Eduardo & Márquez-Ramos, Laura, 2016. "What drives interdependence of FDI among host countries? The role of geographic proximity and similarity in public debt," Economic Modelling, Elsevier, vol. 58(C), pages 466-474.
    7. Sarker, M. Mizanur Rahman, 2012. "Spatial modeling of households’ knowledge about arsenic pollution in Bangladesh," Social Science & Medicine, Elsevier, vol. 74(8), pages 1232-1239.
    8. Eveline Van Leeuwen & Sandy Dall'erba, "undated". "Does Agricultural Employment Benefit From EU Support?," Regional and Urban Modeling 283600099, EcoMod.
    9. Herrera Gómez, Marcos & Mur Lacambra, Jesús & Ruiz Marín, Manuel, 2011. "¿Cuál matriz de pesos espaciales?. Un enfoque sobre selección de modelos
      [Which spatial weighting matrix? An approach for model selection]
      ," MPRA Paper 37585, University Library of Munich, Germany.
    10. repec:kap:iaecre:v:15:y:2009:i:1:p:44-58 is not listed on IDEAS
    11. Gema Fernández-Avilés Calderón, 2009. "Spatial Regression Analysis vs. Kriging Methods for Spatial Estimation," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 15(1), pages 44-58, February.
    12. Thomas A. Garrett & Gary A. Wagner & David C. Wheelock, 2005. "A spatial analysis of state banking regulation," Papers in Regional Science, Wiley Blackwell, vol. 84(4), pages 575-595, November.
    13. Herrera Gómez, Marcos & Cid, Juan Carlos & Paz, Jorge Augusto, 2012. "Introducción a la econometría espacial: Una aplicación al estudio de la fecundidad en la Argentina usando R
      [Introduction to Spatial Econometrics: An application to the study of fertility in Argent
      ," MPRA Paper 41138, University Library of Munich, Germany.
    14. Mohamed Mekki Ben Jemaa, 2016. "Economic, Political and Cultural Proximity and Growth Propagation: A Network Model with Endogenous Proximity Matrix," Working Papers 1047, Economic Research Forum, revised 09 Jan 2016.
    15. Jesùs Mur, 2013. "Causality, Uncertainty and Identification: Three Issues on the Spatial Econometrics Agenda," SCIENZE REGIONALI, FrancoAngeli Editore, vol. 2013(1), pages 5-27.
    16. repec:asg:wpaper:1013 is not listed on IDEAS
    17. Herrera Gómez, Marcos & Mur Lacambra, Jesús & Ruiz Marín, Manuel, 2012. "Selecting the Most Adequate Spatial Weighting Matrix:A Study on Criteria," MPRA Paper 73700, University Library of Munich, Germany.
    18. Cletus C. Coughlin & Thomas A. Garrett & Rubén Hernández-Murillo, 2004. "Spatial probit and the geographic patterns of state lotteries," Working Papers 2003-042, Federal Reserve Bank of St. Louis.
    19. Jörgen Johansson & Krister Sandberg, 2001. "Hedonic Prices for Co-operative Flats in the City of Umeå estimated with Spatial Autoregressive GMM," ERSA conference papers ersa01p111, European Regional Science Association.
    20. Sandberg, Krister, 2002. "On Space-Time Changes of Hedonic Prices for Single Family Houses," ERSA conference papers ersa02p196, European Regional Science Association.
    21. Krister Sandberg, 2003. "On Space-Time Changes of Hedonic Prices for Single Family Homes," ERSA conference papers ersa03p275, European Regional Science Association.
    22. Jesus Mur & Antonio Paez, 2011. "Local weighting or the necessity of flexibility," ERSA conference papers ersa11p942, European Regional Science Association.

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