Dealing with spatial data pooled over time in statistical models

Authors: Dubé, Jean; Legros, Diègo
Abstract: Recent developments in spatial econometrics have been devoted to spatiotemporal 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.
Document Type: Article de recherche
Issue Date: 25 July 2012
Open Access Date: Restricted access
Document version: VoR
Permalink: http://hdl.handle.net/20.500.11794/2108
This document was published in: Letters in Spatial and Resource Sciences, Vol. 6 (1), 1–18 (2013)
http://dx.doi.org/10.1007/s12076-012-0082-3
Springer
Alternative version: 10.1007/s12076-012-0082-3
Collection:Articles publiés dans des revues avec comité de lecture

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