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Stochastic Processes for Spatial Econometrics

Stochastic Processes for Spatial Econometrics
Author: Jorge Mateu Mahiques
Publisher: Netbiblo
Total Pages: 90
Release: 2010
Genre: Social Science
ISBN: 849745412X

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This monograph presents a general methodology which is shown to be valid in the analysis of spatial point structures and that is certainly easier to use by non-expert researchers coming from other applied sciences than other much modern techniques. We suggest that the local conditioning approach has the advantage that it is statistically efficient, easy to correct for edge-effects and provides similar results than other (more complicated) likelihood-based methods. We show a mathematical justification to prove that any purely inhibitory pairwise interaction point process (pipp) can be obtained as the limit of a sequence of auto-Poisson lattice schemes and within this context we develop the pseudolikelihood estimating equations. We particularly focus on developing a Monte Carlo simulation study to analyze the behaviour of the parameter s of a particular pipp model derived using this technique. We also stress that this methodology has a wide range of applications in many fields, particularly in economy and demography.


Stochastic Spatial Processes

Stochastic Spatial Processes
Author: Petre Tautu
Publisher: Springer
Total Pages: 320
Release: 2006-11-14
Genre: Mathematics
ISBN: 3540470530

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Proceedings of a Conference held in Heidelberg, September 10 - 14, 1984


Spatial Econometrics: Methods and Models

Spatial Econometrics: Methods and Models
Author: L. Anselin
Publisher: Springer Science & Business Media
Total Pages: 295
Release: 2013-03-09
Genre: Business & Economics
ISBN: 9401577994

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Spatial econometrics deals with spatial dependence and spatial heterogeneity, critical aspects of the data used by regional scientists. These characteristics may cause standard econometric techniques to become inappropriate. In this book, I combine several recent research results to construct a comprehensive approach to the incorporation of spatial effects in econometrics. My primary focus is to demonstrate how these spatial effects can be considered as special cases of general frameworks in standard econometrics, and to outline how they necessitate a separate set of methods and techniques, encompassed within the field of spatial econometrics. My viewpoint differs from that taken in the discussion of spatial autocorrelation in spatial statistics - e.g., most recently by Cliff and Ord (1981) and Upton and Fingleton (1985) - in that I am mostly concerned with the relevance of spatial effects on model specification, estimation and other inference, in what I caIl a model-driven approach, as opposed to a data-driven approach in spatial statistics. I attempt to combine a rigorous econometric perspective with a comprehensive treatment of methodological issues in spatial analysis.


Stochastic Spatial Processes

Stochastic Spatial Processes
Author: Petre Tăutu
Publisher: Springer
Total Pages: 338
Release: 1986
Genre: Biology
ISBN:

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Modelling Spatial Processes

Modelling Spatial Processes
Author: Michael Tiefelsdorf
Publisher: Springer
Total Pages: 236
Release: 2006-04-11
Genre: Science
ISBN: 3540486771

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A novel methodology is put forward in this book, which empowers researchers to investigate and identify potential spatial processes among a set of regions. Spatial processes and their underlying functional spatial relationships are commonly observed in the geosciences and related disciplines. Examples are spatially autocorrelated random variables manifesting themselves in distinct global patterns as well as local clusters and hot spots, or spatial interaction leading to stochastic ties among the regions. An example from observational epidemiology demonstrates the flexibility of Moran's approach by analyzing the spatial distribution of cancer data from several perspectives. Recent advances in computing technology, computer algorithms, statistical techniques and global and local spatial patterns by means of Moran's I feasability. Moran's I is an extremely versatile tool for exploring and analyzing spatial data and testing spatial hypotheses.


Spatial Processes

Spatial Processes
Author: Andrew David Cliff
Publisher: Taylor & Francis
Total Pages: 266
Release: 1981
Genre: Mathematics
ISBN: 9780850860818

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Stochastic Spatial Processes

Stochastic Spatial Processes
Author: Petre Tautu
Publisher:
Total Pages: 324
Release: 2014-01-15
Genre:
ISBN: 9783662181058

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Exploratory and explanatory statistical analysis of spatial data

Exploratory and explanatory statistical analysis of spatial data
Author: C.P.A. Bartels
Publisher: Springer Science & Business Media
Total Pages: 271
Release: 2012-12-06
Genre: Business & Economics
ISBN: 9400992335

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In September 1977 a "Regional Science Symposium" was held at the Faculty of Economics of the University of Goningen in the Netherlands. The impetus in organizing this symposium was the recent estab lishmen t at the F acuIty of Economics of a group engaged in teaching and research within the field of regional science. The aim of the symposium was to familiarize university members with regional science and to introduce the new group to both the national and international scene. Two separate topics of potential interest to both researchers and policy-makers were selected. The first theme, spatial inequalities and regional development, was chosen because of its central place in regional science. Authors from several disciplines were asked to approach this theme from a general, policy-oriented point of view. This ensured the spotlighting of the various dimensions of spatial inequality and its implications for regional policy. The results of their efforts have been collected in a volume entitled Spatial Inequalities and Regional Development. The second theme focussed on spatial statistical analysis. This branch of statistics is a relatively new one. It is receiving growing attention from researchers in the field of applied regional science. The conference dealing with this topic concentrated on recent research results related to the use of appropriate statistical and econometric methods for analyzing spatial data. The papers con cerned have been collected in another volume, entitled Exploratory and Explanatory Statistical Analysis of Spatial Data.