Dealing with spatial data pooled over time in statistical models

被引：34

作者：

Dubé J. ^{[1
]}

Legros D. ^{[2
]}

机构：

[1] Univeristé du Québec À Rimouski, Rimouski, QC, G5L 3A1

[2] Laboratoire d'Économie et de Gestion, 21066 Dijon Cedex, 2 boulevard Gabriel

来源：

Letters in Spatial and Resource Sciences | 2013年 / 6卷 / 1期

关键词：

Spatial econometrics; Spatio-temporal data; Weights matrix;

D O I：

10.1007/s12076-012-0082-3

中图分类号：

学科分类号：

摘要：

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. © 2012 Springer-Verlag.

引用

页码：1 / 18

页数：17

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