Spatial Econometrics Methods and Models

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  • Publisher : Springer Science & Business Media
  • Release : 09 March 2013
  • ISBN : 9789401577991
  • Page : 284 pages
  • Rating : 4.5/5 from 103 voters

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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.

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Spatial Econometrics: Methods and Models

Spatial Econometrics: Methods and Models
  • Author : L. Anselin
  • Publisher : Springer Science & Business Media
  • Release Date : 2013-03-09
  • ISBN : 9789401577991
GET THIS BOOKSpatial Econometrics: Methods and Models

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

Introduction to Spatial Econometrics

Introduction to Spatial Econometrics
  • Author : James LeSage,Robert Kelley Pace
  • Publisher : CRC Press
  • Release Date : 2009-01-20
  • ISBN : 1420064258
GET THIS BOOKIntroduction to Spatial Econometrics

Although interest in spatial regression models has surged in recent years, a comprehensive, up-to-date text on these approaches does not exist. Filling this void, Introduction to Spatial Econometrics presents a variety of regression methods used to analyze spatial data samples that violate the traditional assumption of independence between observations. It explores a wide range of alternative topics, including maximum likelihood and Bayesian estimation, various types of spatial regression specifications, and applied modeling situations involving different circumstances. Leaders in this field,

Spatial Econometrics

Spatial Econometrics
  • Author : Harry Kelejian,Gianfranco Piras
  • Publisher : Academic Press
  • Release Date : 2017-07-20
  • ISBN : 9780128133927
GET THIS BOOKSpatial Econometrics

Spatial Econometrics provides a modern, powerful and flexible skillset to early career researchers interested in entering this rapidly expanding discipline. It articulates the principles and current practice of modern spatial econometrics and spatial statistics, combining rigorous depth of presentation with unusual depth of coverage. Introducing and formalizing the principles of, and ‘need’ for, models which define spatial interactions, the book provides a comprehensive framework for almost every major facet of modern science. Subjects covered at length include spatial regression models,

Spatial Econometrics

Spatial Econometrics
  • Author : J. Paul Elhorst
  • Publisher : Springer Science & Business Media
  • Release Date : 2013-09-30
  • ISBN : 9783642403408
GET THIS BOOKSpatial Econometrics

​This book provides an overview of three generations of spatial econometric models: models based on cross-sectional data, static models based on spatial panels and dynamic spatial panel data models. The book not only presents different model specifications and their corresponding estimators, but also critically discusses the purposes for which these models can be used and how their results should be interpreted.

Spatial Econometrics

Spatial Econometrics
  • Author : Giuseppe Arbia
  • Publisher : Springer Science & Business Media
  • Release Date : 2006-06-08
  • ISBN : 9783540323051
GET THIS BOOKSpatial Econometrics

This book bridges the gap between economic theory and spatial econometric techniques. It is accessible to those with only a basic statistical background and no prior knowledge of spatial econometric methods. It provides a comprehensive treatment of the topic, motivating the reader with examples and analysis. The volume provides a rigorous treatment of the basic spatial linear model, and it discusses the violations of the classical regression assumptions that occur when dealing with spatial data.

Advances in Spatial Econometrics

Advances in Spatial Econometrics
  • Author : Luc Anselin,Raymond Florax,Sergio J. Rey
  • Publisher : Springer Science & Business Media
  • Release Date : 2013-03-09
  • ISBN : 9783662056172
GET THIS BOOKAdvances in Spatial Econometrics

World-renowned experts in spatial statistics and spatial econometrics present the latest advances in specification and estimation of spatial econometric models. This includes information on the development of tools and software, and various applications. The text introduces new tests and estimators for spatial regression models, including discrete choice and simultaneous equation models. The performance of techniques is demonstrated through simulation results and a wide array of applications related to economic growth, international trade, knowledge externalities, population-employment dynamics, urban crime, land use,

A Primer for Spatial Econometrics

A Primer for Spatial Econometrics
  • Author : G. Arbia
  • Publisher : Springer
  • Release Date : 2014-06-30
  • ISBN : 9781137317940
GET THIS BOOKA Primer for Spatial Econometrics

This book aims at meeting the growing demand in the field by introducing the basic spatial econometrics methodologies to a wide variety of researchers. It provides a practical guide that illustrates the potential of spatial econometric modelling, discusses problems and solutions and interprets empirical results.

Applied Spatial Statistics and Econometrics

Applied Spatial Statistics and Econometrics
  • Author : Katarzyna Kopczewska
  • Publisher : Routledge
  • Release Date : 2020-11-26
  • ISBN : 9781000079784
GET THIS BOOKApplied Spatial Statistics and Econometrics

This textbook is a comprehensive introduction to applied spatial data analysis using R. Each chapter walks the reader through a different method, explaining how to interpret the results and what conclusions can be drawn. The author team showcases key topics, including unsupervised learning, causal inference, spatial weight matrices, spatial econometrics, heterogeneity and bootstrapping. It is accompanied by a suite of data and R code on Github to help readers practise techniques via replication and exercises. This text will be a

Spatial Econometrics

Spatial Econometrics
  • Author : Giuseppe Arbia,Badi H. Baltagi
  • Publisher : Springer Science & Business Media
  • Release Date : 2008-11-14
  • ISBN : 9783790820706
GET THIS BOOKSpatial Econometrics

Spatial Econometrics is a rapidly evolving field born from the joint efforts of economists, statisticians, econometricians and regional scientists. The book provides the reader with a broad view of the topic by including both methodological and application papers. Indeed the application papers relate to a number of diverse scientific fields ranging from hedonic models of house pricing to demography, from health care to regional economics, from the analysis of R&D spillovers to the study of retail market spatial characteristics.

New Directions in Spatial Econometrics

New Directions in Spatial Econometrics
  • Author : Luc Anselin,Raymond Florax
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-12-06
  • ISBN : 9783642798771
GET THIS BOOKNew Directions in Spatial Econometrics

The promising new directions for research and applications described here include alternative model specifications, estimators and tests for regression models and new perspectives on dealing with spatial effects in models with limited dependent variables and space-time data.

Spatial Econometric Methods in Agricultural Economics Using R

Spatial Econometric Methods in Agricultural Economics Using R
  • Author : Paolo Postiglione
  • Publisher : CRC Press
  • Release Date : 2021-12-23
  • ISBN : 9781498766838
GET THIS BOOKSpatial Econometric Methods in Agricultural Economics Using R

Modern tools, such as GIS and remote sensing, are increasingly used in the monitoring of agricultural resources. The developments in GIS technology offer growing opportunities to agricultural economics analysts dealing with large and detailed spatial databases, allowing them to combine spatial information from different sources and to produce different models. The availability of these valuable sources of information makes the advanced models suggested in the spatial statistic and econometric literature applicable to agricultural economics. This book aims at supporting stakeholders

Spatial Econometrics Using Microdata

Spatial Econometrics Using Microdata
  • Author : Jean Dubé,Diègo Legros
  • Publisher : John Wiley & Sons
  • Release Date : 2014-11-10
  • ISBN : 9781848214682
GET THIS BOOKSpatial Econometrics Using Microdata

-The objective of this book is to make a link between existing quantitative approaches... and the manner in which we can generalize thess approaches to cases where the available data for analysis have a spatial dimension.---

Spatial Econometrics: Methods and Models

Spatial Econometrics: Methods and Models
  • Author : L. Anselin
  • Publisher : Springer Science & Business Media
  • Release Date : 1988-08-31
  • ISBN : 9024737354
GET THIS BOOKSpatial Econometrics: Methods and Models

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

Modern Spatial Econometrics in Practice

Modern Spatial Econometrics in Practice
  • Author : Luc Anselin,Sergio Joseph Rey
  • Publisher : Geoda Press LLC
  • Release Date : 2014-12-27
  • ISBN : 0986342106
GET THIS BOOKModern Spatial Econometrics in Practice

This book is the definitive user's guide to the spatial regression functionality in the software packages GeoDa and GeoDaSpace, as well as the spreg module in the PySAL library --all developed at the GeoDa Center for Geospatial Analysis and Computation. The book provides the techniques to test for and estimate spatial effects in linear regression models, addressing both spatial dependence (spatial autoregressive models) as well as spatial heterogeneity (spatial regimes models). The book also serves as an introduction and a

The Econometric Analysis of Non-Stationary Spatial Panel Data

The Econometric Analysis of Non-Stationary Spatial Panel Data
  • Author : Michael Beenstock,Daniel Felsenstein
  • Publisher : Springer
  • Release Date : 2019-03-27
  • ISBN : 9783030036140
GET THIS BOOKThe Econometric Analysis of Non-Stationary Spatial Panel Data

This monograph deals with spatially dependent nonstationary time series in a way accessible to both time series econometricians wanting to understand spatial econometics, and spatial econometricians lacking a grounding in time series analysis. After charting key concepts in both time series and spatial econometrics, the book discusses how the spatial connectivity matrix can be estimated using spatial panel data instead of assuming it to be exogenously fixed. This is followed by a discussion of spatial nonstationarity in spatial cross-section data,