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On aggregation in spatial econometric modelling

Author

Listed:
  • Jean H.P. Paelinck

    (Erasmus University Rotterdam, Tinbergen Institute, Burg, Oudlaan 50, 3000 DR Rotterdam, The Netherlands (e-mail: j.paelinck@poboxes.com))

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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    Citations

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    Cited by:

    1. Juan Carlos Duque & Raúl Ramos & Jordi Suriñach, 2007. "Supervised Regionalization Methods: A Survey," International Regional Science Review, , vol. 30(3), pages 195-220, July.
    2. Paelinck, J. & Mur, J. & Trívez, J., 2004. "Econometría espacial: más luces que sombras," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 22, pages 1-19, Diciembre.
    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 de Valor Público 16499, Universidad EAFIT.
    4. Sergio J. Rey & Luc Anselin & David C. Folch & Daniel Arribas-Bel & Myrna L. Sastré Gutiérrez & Lindsey Interlante, 2011. "Measuring Spatial Dynamics in Metropolitan Areas," Economic Development Quarterly, , vol. 25(1), pages 54-64, February.
    5. 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.
    6. Gift Dumedah & Nadine Schuurman & Wanhong Yang, 2008. "Minimizing effects of scale distortion for spatially grouped census data using rough sets," Journal of Geographical Systems, Springer, vol. 10(1), pages 47-69, March.
    7. Ben Gilbert & Hannah Gagarin & Ben Hoen, 2023. "Geographic Spillovers of Wind Energy Development on Wages and Employment," Working Papers 2023-01, Colorado School of Mines, Division of Economics and Business.
    8. Martinho, Vítor João Pereira Domingues, 2011. "Spatial autocorrelation and Verdoorn law in the Portuguese nuts III," MPRA Paper 32165, University Library of Munich, Germany.
    9. 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.
    10. Martinho, Vítor João Pereira Domingues, 2011. "Analysis of spatial effects in vine crop across Portuguese regions," MPRA Paper 33200, University Library of Munich, Germany.
    11. repec:asg:wpaper:1028 is not listed on IDEAS
    12. Vitor Joao Pereira Domingues Martinho, 2011. "Spatial Effects and Verdoorn Law in the Portuguese Context," Papers 1110.5573, arXiv.org.
    13. Michal Bernard Pietrzak, 2014. "Redefining The Modifiable Areal Unit Problem Within Spatial Econometrics, The Case Of The Aggregation Problem," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 9(3), pages 131-151, September.
    14. 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.
    15. Michal Bernard Pietrzak, 2014. "Redefining The Modifiable Areal Unit Problem Within Spatial Econometrics, The Case Of The Scale Problem," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 9(2), pages 111-132, June.
    16. 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.
    17. Martinho, Vítor João Pereira Domingues, 2011. "A spatial model of the Keynesian theory for Portugal," MPRA Paper 33636, University Library of Munich, Germany.
    18. Knut Blind & Torben Schubert, 2024. "Estimating the GDP effect of Open Source Software and its complementarities with R&D and patents: evidence and policy implications," The Journal of Technology Transfer, Springer, vol. 49(2), pages 466-491, April.
    19. Fazio, Giorgio & Piacentino, Davide, 2018. "Convergence analysis for hierarchical longitudinal data," Economic Modelling, Elsevier, vol. 73(C), pages 89-99.

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