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Dynamic Models of Spatial Autocorrelation

Datos Bibliográficos

ID4139726
AutoresL Hordijk (Department of Economics, Erasmus University, Rotterdam, the Netherlands), Peter Nijkamp (0000-0002-4068-8132, University of Amsterdam)
Año1977
Volumen9
Número5
Páginas505-519
Fecha de publicación1977-05-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaEnvironment and Planning A Economy and Space (JOURNAL)
Identificadores de la revistaISSN: 0308-518X • E-ISSN: 1472-3409
EditorialSAGE Publications Inc (PUBLISHER)
DOI10.1068/a090505
OpenAlexW2020167000
IdiomaEN
Citas recibidas6
Referencias citadas30

Dynamic models have been studied intensively during the last decade, particularly in the field of growth theory and diffusion analysis. Consequently, problems like temporal autocorrelation have received much attention. Recently the attention of econometricians has also concentrated on spatial autocorrelation, particularly in the field of spatial interaction models. The existence of spatial autocorrelation among spatially dispersed phenomena appears to lead to significant differences in the treatment of multiregional models. In this paper, attention will be focused on the formal aspects of dynamic spatial diffusion models. Some statistical measures for temporal-spatial autocorrelation will be constructed. In addition, a formal derivation of necessary extensions in estimation procedures for dynamic multiregional econometric models will be presented, particularly in the field of seemingly unrelated regressions and instrumental variables. The analysis will be illustrated by means of a dynamic explanatory model for the spatial dispersion of foreign workers in The Netherlands

Autocorrelation · Diffusion · Econometrics · Physics · Spatial analysis · Spatial dependence · Spatial econometrics · Statistical physics · Statistics · Computer Science · Housing Market and Economics · Mathematics · Regional Economics and Spatial Analysis · Spatial and Panel Data Analysis

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Obras citantes distintas6
Citas por año0,13
Intervalo de citas1979 - 2019 (41)
Velocidad de citaciónhistorical
Altamente citadoNo
Tipos de citaNeutras: 5
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