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Dirty spatial econometrics [PDF]

open access: possibleThe Annals of Regional Science, 2015
Spatial data are often contaminated with a series of imperfections that reduce their quality and can dramatically distort the inferential conclusions based on spatial econometric modeling. A “clean” ideal situation considered in standard spatial econometrics textbooks is when we fit Cliff-Ord-type models to data where the spatial units constitute the ...
Arbia, Giuseppe   +2 more
openaire   +3 more sources

Spatial Econometric Interaction Modelling: Where Spatial Econometrics and Spatial Interaction Modelling Meet

2016
The present book is concerned with spatial interaction modelling. In particular, it aims to illustrate, through a collection of methodological and empirical studies, how estimation approaches in this field recently developed, by including the tools typical of spatial statistics and spatial econometrics (Anselin 1988; Cressie 1993; Arbia 2006, 2014 ...
Arbia, Giuseppe, Patuelli, R.
openaire   +3 more sources

Introduction: Spatial Econometrics

2010
In spatial econometrics, various topics have their own importance: specification, estimation and testing are the main building blocks of a spatial econometric model.
Daniel A. Griffith, Jean H.P. Paelinck
openaire   +1 more source

Spatial Econometric Models

2009
Spatial regression models allow us to account for dependence among observations, which often arises when observations are collected from points or regions located in space. The spatial sample of observations being analyzed could come from a number of sources. Examples of point-level observations would be individual homes, firms, or schools.
James P. LeSage, R. Kelley Pace
openaire   +1 more source

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