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On aggregation in spatial econometric modelling


  • Jean H.P. Paelinck

    (Erasmus University Rotterdam, Tinbergen Institute, Burg, Oudlaan 50, 3000 DR Rotterdam, The Netherlands (e-mail:


Abstract. The spatial aggregation problem – also termed the modifiable areal unit problem – has attracted regular attention in spatial statistics and econometrics. In this study econometric aggregation analysis is used to investigate the formal composition of meso-areal parameters given micro-areal underlying relations with spatial dependence. Impact on stochastic terms (possible meso-areal spatial autocorrelation) is also studied. Finally consequences for meso-areal estimation are derived, the general finding having been that spatial aggregation leads to meso-region specific parameter values, with the estimation problems this implies.

Suggested Citation

  • Jean H.P. Paelinck, 2000. "On aggregation in spatial econometric modelling," Journal of Geographical Systems, Springer, vol. 2(2), pages 157-165, July.
  • Handle: RePEc:kap:jgeosy:v:2:y:2000:i:2:d:10.1007_pl00011452
    DOI: 10.1007/PL00011452

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    Cited by:

    1. Martinho, Vítor João Pereira Domingues, 2011. "Analysis of spatial effects in vine crop across Portuguese regions," MPRA Paper 33200, University Library of Munich, Germany.
    2. Martinho, Vítor João Pereira Domingues, 2011. "A spatial model of the Keynesian theory for Portugal," MPRA Paper 33636, University Library of Munich, Germany.
    3. Gustavo A. García & Edgar Julián Muñoz González & Stefany Gallego Ortiz, 2018. "Análisis Espacial de la Informalidad Laboral a Nivel Intra-urbano," DOCUMENTOS DE TRABAJO CIEF 016499, UNIVERSIDAD EAFIT.
    4. Vitor Joao Pereira Domingues Martinho, 2011. "Spatial Effects and Verdoorn Law in the Portuguese Context," Papers 1110.5573,
    5. Martinho, Vítor João Pereira Domingues, 2011. "Spatial autocorrelation and Verdoorn law in the Portuguese nuts III," MPRA Paper 32165, University Library of Munich, Germany.
    6. Julie Le Gallo & Coro Chasco, 2015. "Spatial econometrics principles and challenges in Jean Paelinck's research," Spatial Economic Analysis, Taylor & Francis Journals, vol. 10(3), pages 263-269, September.
    7. Paelinck, J. & Mur, J. & Trívez, J., 2004. "Econometría espacial: más luces que sombras," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 22, pages 1-19, Diciembre.
    8. Martinho, Vítor João Pereira Domingues, 2011. "Analysis of spatial effects in vine and olive crops across Portuguese regions," MPRA Paper 33201, University Library of Munich, Germany.
    9. Ali Jalili, 2005. "Impacts of Aggregation on Relative Performances of Nonsurvey Updating Techniques And Intertemporal Stability of Input–Output Coefficients," Economic Change and Restructuring, Springer, vol. 38(2), pages 147-165, June.
    10. Guangqing Chi & Jun Zhu, 2008. "Spatial Regression Models for Demographic Analysis," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 27(1), pages 17-42, February.
    11. repec:eee:ecmode:v:73:y:2018:i:c:p:89-99 is not listed on IDEAS


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