Spatial 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, weighting matrices, estimation procedures and the complications associated with their use. The work particularly focuses on models of uncertainty and estimation under various complications relating to model specifications, data problems, tests of hypotheses, along with systems and panel data extensions which are covered in exhaustive detail. Extensions discussing pre-test procedures and Bayesian methodologies are provided at length. Throughout, direct applications of spatial models are described in detail, with copious illustrative empirical examples demonstrating how readers might implement spatial analysis in research projects. Designed as a textbook and reference companion, every chapter concludes with a set of questions for formal or self--study. Finally, the book includes extensive supplementing information in a large sample theory in the R programming language that supports early career econometricians interested in the implementation of statistical procedures covered. Combines advanced theoretical foundations with cutting-edge computational developments in R Builds from solid foundations, to more sophisticated extensions that are intended to jumpstart research careers in spatial econometrics Written by two of the most accomplished and extensively published econometricians working in the discipline Describes fundamental principles intuitively, but without sacrificing rigor Provides empirical illustrations for many spatial methods across diverse field Emphasizes a modern treatment of the field using the generalized method of moments (GMM) approach Explores sophisticated modern research methodologies, including pre-test procedures and Bayesian data analysis

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  • Author : Harry Kelejian
  • Publisher : Academic Press
  • Pages : 458 pages
  • ISBN : 0128133929
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKSpatial Econometrics

Spatial Econometrics

Spatial Econometrics
  • Author : Harry Kelejian,Gianfranco Piras
  • Publisher : Academic Press
  • Release : 20 July 2017
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: Methods and Models

Spatial Econometrics: Methods and Models
  • Author : L. Anselin
  • Publisher : Springer Science & Business Media
  • Release : 09 March 2013
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 : 20 January 2009
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 : J. Paul Elhorst
  • Publisher : Springer Science & Business Media
  • Release : 30 September 2013
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.

Advances in Spatial Econometrics

Advances in Spatial Econometrics
  • Author : Luc Anselin,Raymond Florax,Sergio J. Rey
  • Publisher : Springer Science & Business Media
  • Release : 09 March 2013
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,

Spatial Econometrics

Spatial Econometrics
  • Author : Giuseppe Arbia
  • Publisher : Springer Science & Business Media
  • Release : 08 June 2006
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.

New Directions in Spatial Econometrics

New Directions in Spatial Econometrics
  • Author : Luc Anselin,Raymond Florax
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
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.

A Primer for Spatial Econometrics

A Primer for Spatial Econometrics
  • Author : G. Arbia
  • Publisher : Springer
  • Release : 30 June 2014
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 : 26 November 2020
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 : 14 November 2008
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.

Spatial Econometrics and Spatial Statistics

Spatial Econometrics and Spatial Statistics
  • Author : A. Getis,J. Lacambra,H. Zoller
  • Publisher : Palgrave Macmillan
  • Release : 24 February 2004
GET THIS BOOKSpatial Econometrics and Spatial Statistics

The field of spatial econometrics has come to include the methods and models that deal with estimation and testing problems encountered when attempting to implement regional economic models. Those problems are often characterized by the difficulties associated with assessing the importance of spatial dependence and spatial heterogeneity. This book includes contributions on spatial proximity, spatial patterning and in particular the spatial association (dependence) contained in local map patterns.

Spatial Econometric Methods in Agricultural Economics Using R

Spatial Econometric Methods in Agricultural Economics Using R
  • Author : Paolo Postiglione
  • Publisher : CRC Press
  • Release : 23 December 2021
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

Modern Spatial Econometrics in Practice

Modern Spatial Econometrics in Practice
  • Author : Luc Anselin,Sergio Joseph Rey
  • Publisher : Geoda Press LLC
  • Release : 27 December 2014
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

Spatial Microeconometrics

Spatial Microeconometrics
  • Author : Giuseppe Arbia,Giuseppe Espa,Diego Giuliani
  • Publisher : Routledge
  • Release : 26 March 2021
GET THIS BOOKSpatial Microeconometrics

Spatial Microeconometrics introduces the reader to the basic concepts of spatial statistics, spatial econometrics and the spatial behavior of economic agents at the microeconomic level. Incorporating useful examples and presenting real data and datasets on real firms, the book takes the reader through the key topics in a systematic way. The book outlines the specificities of data that represent a set of interacting individuals with respect to traditional econometrics that treat their locational choices as exogenous and their economic behavior