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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Dissertation
The Dynamics of Political Participation: An Analysis of the Dynamic Interaction between Individuals and their Political Micro-Environment
TL;DR: Wendel et al. as mentioned in this paper examined the dynamic interactions over time between individuals and their micro-environment, in which a single factor both influences, and is influenced by, the act of voting.
Posted Content
Spatial clustering and nonlinearities in the location of multinational firms
TL;DR: In this paper, a semiparametric geoadditive negative binomial model of industrial location is proposed to simultaneously address some important methodological issues, such as spatial clustering and nonlinearities, which have been only partly addressed in previous studies.
Global Growth Poles in a Multipolar World Economy
TL;DR: In this paper, the authors developed an empirical measure of growth poles and used it to examine the phenomenon of multipolarity in the global economy, concluding that China, Western Europe, and the United States have been important growth poles over the broad course of world history.
Posted ContentDOI
A Spatial Panel Simultaneous-Equations Model of Business Growth, Migration Behavior, Local Public Services and Household Income in Appalachia
Gebremeskel H. Gebremariam,Tesfa G. Gebremedhin,Peter V. Schaeffer,Tim T. Phipps,Randall Jackson +4 more
TL;DR: The authors developed a spatial panel simultaneous-equations model of business growth, migration behavior, local public services and median household income in a partial lag-adjustment growth- equilibrium framework and utilized a one-way error component model for the disturbances.
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.