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Dealing with spatial data pooled over time in statistical models

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  • Jean Dubé

    ()

  • Diègo Legros

    ()

Abstract

Recent developments in spatial econometrics have been devoted to spatio-temporal data and how spatial panel data structure should be modeled. Little effort has been devoted to the way one must deal with spatial data pooled over time. This paper presents the characteristics of spatial data pooled over time and proposes a simple way to take into account unidirectional temporal effect as well as multidirectional spatial effect in the estimation process. An empirical example, using data on 25,357 single family homes sold in Lucas County, OH (USA), between 1993 and 1998 (available in the MatLab library), is used to illustrate the potential of the approach proposed. Copyright Springer-Verlag 2013

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Bibliographic Info

Article provided by Springer in its journal Letters in Spatial and Resource Sciences.

Volume (Year): 6 (2013)
Issue (Month): 1 (March)
Pages: 1-18

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Handle: RePEc:spr:lsprsc:v:6:y:2013:i:1:p:1-18

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Web page: http://www.springer.com/economics/journal/12076

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Related research

Keywords: Spatio-temporal data; Weights matrix; Spatial econometrics; C21; C23; C51; C81; R15;

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References

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  13. Jean Dubé & Catherine Baumont & Diègo Legros, 2011. "Utilisation des matrices de pondérations en économétrie spatiale. Proposition dans un contexte spatio-temporel," LEG - Document de travail - Economie 2011-01, LEG, Laboratoire d'Economie et de Gestion, CNRS, Université de Bourgogne.
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Cited by:
  1. Dubé, Jean & Thériault, Marius & Des Rosiers, François, 2013. "Commuter rail accessibility and house values: The case of the Montreal South Shore, Canada, 1992–2009," Transportation Research Part A: Policy and Practice, Elsevier, vol. 54(C), pages 49-66.
  2. Dubé, Jean & Legros, Diègo & Thériault, Marius & Des Rosiers, François, 2014. "A spatial Difference-in-Differences estimator to evaluate the effect of change in public mass transit systems on house prices," Transportation Research Part B: Methodological, Elsevier, vol. 64(C), pages 24-40.

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