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
Are functional regions more homogeneous than administrative regions? A test using hierarchical linear models
TL;DR: In this paper, the authors investigate whether economic functional regions capture spatial clustering of core economic indicators better than administrative regions, and they use hierarchical linear models to measure the degree of homogenization of different regional delineations.
Journal ArticleDOI
A Generalized Method of Moments Estimator for a Spatial Model with Moving Average Errors, with Application to Real Estate Prices
TL;DR: In this paper, a new GMM estimator for spatial regression models with moving average errors is proposed, which is applied in a model of English real estate prices, in which the concepts of displaced demand and displaced supply are introduced to derive the spatial lag of prices, and the moving average error process represents spatially autocorrelated unmodelled variables.
Journal ArticleDOI
European Regional Efficiency and Geographical Externalities: A Spatial Nonparametric Frontier Analysis
TL;DR: In this article, a nonparametric conditional frontier methodology is proposed to account for the presence of geographical externalities that are beyond the control of regional authorities, and the results support the fact that the spatial autoregressive term has an inverted U-shaped non-linear impact on the performance of regions.
Journal ArticleDOI
Incorporation of spatial autocorrelation improves soil–landform modeling at A and B horizons
Daehyun Kim,Pavel Šamonil,Gwanyong Jeong,Václav Tejnecký,Ondřej Drábek,Jakub Hruška,Soo Jin Park +6 more
TL;DR: In this article, the authors evaluated the effect of spatial autocorrelation on the performance of non-spatial regression models and found that the improvement of the model was positively proportional to the degree of spatial auto-correlation inherent in the soil variables.
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.