Journal ArticleDOI
Spatial Externalities, Spatial Multipliers, And Spatial Econometrics
TLDR
In this paper, a taxonomy of spatial econometric model specifications that incorporate spatial externalities in various ways is presented, where the point of departure is a reduced form in which local or globa...Abstract:
This article outlines a taxonomy of spatial econometric model specifications that incorporate spatial externalities in various ways. The point of departure is a reduced form in which local or globa...read more
Citations
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Journal ArticleDOI
Linked to Landscape: Assessing Urbanization in Germany through Landscape and Economic Factors
Rose Keller,Colin Vance +1 more
TL;DR: In this article, the authors estimate a model of landscape change that integrates geospatial and socioeconomic data in a spatial autoregressive model to explain the variance in urban growth observed in Germany between 2000 and 2006.
Journal ArticleDOI
Do local governments follow their neighbours’ tax strategies? Tax mimicking amongst Polish municipalities
TL;DR: In this article, the authors identified the spatial property tax mimicking phenomenon at the local government level in Poland and used spatial autocorrelation and spatial regression models to identify the scale of tax mimicing amongst municipalities in Poland.
References
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Book
Statistics for spatial data
Noel A Cressie,Noel A Cressie +1 more
TL;DR: In this paper, the authors present a survey of statistics for spatial data in the field of geostatistics, including spatial point patterns and point patterns modeling objects, using Lattice Data and spatial models on lattices.
Book
Spatial Econometrics: Methods and Models
TL;DR: In this article, a typology of Spatial Econometric Models is presented, and the maximum likelihood approach to estimate and test Spatial Process Models is proposed, as well as alternative approaches to Inference in Spatial process models.
Journal ArticleDOI
5. Statistics for Spatial Data
Mike Rees,N. Cressie +1 more
TL;DR: Cressie et al. as discussed by the authors presented the Statistics for Spatial Data (SDS) for the first time in 1991, and used it for the purpose of statistical analysis of spatial data.
Journal ArticleDOI
Identification of Endogenous Social Effects: The Reflection Problem
TL;DR: The authors examined the reflection problem that arises when a researcher observing the distribution of behaviour in a population tries to infer whether the average behaviour in some group influences the behaviour of the individuals that comprise the group.
Book
Spatial Processes Models and Applications
Andrew Cliff,J. Keith Ord +1 more
TL;DR: The authors describe various ways the degree of spatial autocorrelation in a set of variate values can be assessed and to which the pattern formed by the location of objects treatable as points can be examined.