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
Population distribution over time: modelling local spatial dependence with a CAR process
TL;DR: In this paper, the effectiveness of local spatial dependence in shaping the population density distribution is investigated, where individual location preferences are modelled by considering the status-related features, and the individual location preference is determined based on the status information.
Journal ArticleDOI
The Pricing of Spatial Linkages in Companies’ Underlying Assets
Bing Zhu,Stanimira Milcheva +1 more
TL;DR: In this article, the authors propose a trading strategy that exploits the information contained in the spatial linkages of the underlying assets, and show that a long-short hedge that sells the stocks that experience a drop in the price if their connected stocks have also gone down in price and buys the stock that experience an increase in the prices if their linked stocks have been also gone up delivers a non-market return of 9.7% per year.
Journal ArticleDOI
Interpretation of Structural Parameters for Models with Spatial Autoregression
TL;DR: A set of three original measures that allow the interpretation of the strength of the impact of the explanatory processes within the spatial SAR model, which take the forms of average direct impact, average indirect impact and average induced impact simplifies significantly the complex procedure of the interpretations of the structural parameters for spatial models to the use of merely three values.
Journal ArticleDOI
Spatializing Area-Based Measures of Neighborhood Characteristics for Multilevel Regression Analyses: An Areal Median Filtering Approach.
Masayoshi Oka,David Wong +1 more
TL;DR: The areal median filtering approach provides a means to specify or formulate “neighborhoods” as meaningful geographic entities by removing enumeration unit boundaries as the absolute barriers and by pooling information from the neighboring enumeration units.
Journal Article
Is corruption contagious? An econometric analysis
TL;DR: In this paper, three main techniques are used: spatial autocorrelation tests, GMM and three stage least squares to analyze how corruption in one country may be affected by its neighbors' corruption.
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.