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| Author | : Daniel A. Griffith |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 277 |
| Release | : 2011-01-11 |
| Genre | : Science |
| ISBN | : 3642160433 |
Download Non-standard Spatial Statistics and Spatial Econometrics Book in PDF, ePub and Kindle
Despite spatial statistics and spatial econometrics both being recent sprouts of the general tree "spatial analysis with measurement"—some may remember the debate after WWII about "theory without measurement" versus "measurement without theory"—several general themes have emerged in the pertaining literature. But exploring selected other fields of possible interest is tantalizing, and this is what the authors intend to report here, hoping that they will suscitate interest in the methodologies exposed and possible further applications of these methodologies. The authors hope that reactions about their publication will ensue, and they would be grateful to reader(s) motivated by some of the research efforts exposed hereafter letting them know about these experiences.
| Author | : Katarzyna Kopczewska |
| Publisher | : Routledge |
| Total Pages | : 725 |
| Release | : 2020-11-25 |
| Genre | : Business & Economics |
| ISBN | : 1000079783 |
Download Applied Spatial Statistics and Econometrics Book in PDF, ePub and Kindle
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 valuable resource for advanced students of econometrics, spatial planning and regional science. It will also be suitable for researchers and data scientists working with spatial data.
| Author | : L. Anselin |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 295 |
| Release | : 2013-03-09 |
| Genre | : Business & Economics |
| ISBN | : 9401577994 |
Download Spatial Econometrics: Methods and Models Book in PDF, ePub and Kindle
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.
| Author | : Daniel A. Griffith |
| Publisher | : Springer |
| Total Pages | : 272 |
| Release | : 2018-03-07 |
| Genre | : Business & Economics |
| ISBN | : 331972553X |
Download Morphisms for Quantitative Spatial Analysis Book in PDF, ePub and Kindle
This book treats the notion of morphisms in spatial analysis, paralleling these concepts in spatial statistics (Part I) and spatial econometrics (Part II). The principal concept is morphism (e.g., isomorphisms, homomorphisms, and allomorphisms), which is defined as a structure preserving the functional linkage between mathematical properties or operations in spatial statistics and spatial econometrics, among other disciplines. The purpose of this book is to present selected conceptions in both domains that are structurally the same, even though their labelling and the notation for their elements may differ. As the approaches presented here are applied to empirical materials in geography and economics, the book will also be of interest to scholars of regional science, quantitative geography and the geospatial sciences. It is a follow-up to the book “Non-standard Spatial Statistics and Spatial Econometrics” by the same authors, which was published by Springer in 2011.
| Author | : James LeSage |
| Publisher | : CRC Press |
| Total Pages | : 362 |
| Release | : 2009-01-20 |
| Genre | : Business & Economics |
| ISBN | : 1420064258 |
Download Introduction to Spatial Econometrics Book in PDF, ePub and Kindle
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 observat
| Author | : Michael Beenstock |
| Publisher | : Springer |
| Total Pages | : 280 |
| Release | : 2019-03-27 |
| Genre | : Business & Economics |
| ISBN | : 3030036146 |
Download The Econometric Analysis of Non-Stationary Spatial Panel Data Book in PDF, ePub and Kindle
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, and a full exposition of non-stationarity in both single and multi-equation contexts, including the estimation and simulation of spatial vector autoregression (VAR) models and spatial error correction (ECM) models. The book reviews the literature on panel unit root tests and panel cointegration tests for spatially independent data, and for data that are strongly spatially dependent. It provides for the first time critical values for panel unit root tests and panel cointegration tests when the spatial panel data are weakly or spatially dependent. The volume concludes with a discussion of incorporating strong and weak spatial dependence in non-stationary panel data models. All discussions are accompanied by empirical testing based on a spatial panel data of house prices in Israel.
| Author | : Yoshiki Yamagata |
| Publisher | : Academic Press |
| Total Pages | : 302 |
| Release | : 2019-11-03 |
| Genre | : Business & Economics |
| ISBN | : 0128131322 |
Download Spatial Analysis Using Big Data Book in PDF, ePub and Kindle
Spatial Analysis Using Big Data: Methods and Urban Applications helps readers understand the most powerful, state-of-the-art spatial econometric methods, focusing particularly on urban research problems. The methods represent a cluster of potentially transformational socio-economic modeling tools that allow researchers to capture real-time and high-resolution information to potentially reveal new socioeconomic dynamics within urban populations. Each method, written by leading exponents of the discipline, uses real-time urban big data to solve research problems in spatial science. Urban applications of these methods are provided in unsurpassed depth, with chapters on surface temperature mapping, view value analysis, community clustering and spatial-social networks, among many others. Reviews some of the most powerful and challenging modern methods to study big data problems in spatial science Provides computer codes written in R, MATLAB and Python to help implement methods Applies these methods to common problems observed in urban and regional economics
| Author | : Giuseppe Arbia |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 283 |
| Release | : 2008-11-14 |
| Genre | : Business & Economics |
| ISBN | : 3790820709 |
Download Spatial Econometrics Book in PDF, ePub and Kindle
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. Particular emphasis is given to regional economic applications of spatial econometrics methods with a number of contributions specifically focused on the spatial concentration of economic activities and agglomeration, regional paths of economic growth, regional convergence of income and productivity and the evolution of regional employment. Most of the papers appearing in this book were solicited from the International Workshop on Spatial Econometrics and Statistics held in Rome (Italy) in 2006.
| Author | : J. Paul Elhorst |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 125 |
| Release | : 2013-09-30 |
| Genre | : Business & Economics |
| ISBN | : 3642403409 |
Download Spatial Econometrics Book in PDF, ePub and Kindle
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.
| Author | : A. Getis |
| Publisher | : Palgrave Macmillan |
| Total Pages | : 297 |
| Release | : 2004-02-24 |
| Genre | : Education |
| ISBN | : 9781403907974 |
Download Spatial Econometrics and Spatial Statistics Book in PDF, ePub and Kindle
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.
