Introduction To Spatial Econometrics
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Introduction To Spatial Econometrics
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Author : James LeSage
language : en
Publisher: CRC Press
Release Date : 2009-01-20
Introduction To Spatial Econometrics written by James LeSage and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-01-20 with Business & Economics categories.
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
Introduction To Spatial Econometrics
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Author : James P. LeSage
language : en
Publisher:
Release Date : 2009
Introduction To Spatial Econometrics written by James P. LeSage and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Space in economics categories.
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, t.
A Primer For Spatial Econometrics
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Author : Giuseppe Arbia
language : en
Publisher: Springer Nature
Release Date : 2024-10-30
A Primer For Spatial Econometrics written by Giuseppe Arbia and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-30 with Business & Economics categories.
This textbook offers a practical and engaging introduction to spatial econometric modelling, detailing the key models, methodologies and tools required to successfully apply a spatial approach. The second edition contains new methodological developments, new references and new software routines in R that have emerged since the first edition published in 2014. It also extends practical applications with the use of the software STATA and of the programming language Python. The first software is used increasingly by many economists, applied econometricians and social scientists while the software Python is becoming the elective choice in many scientific applications. With new statistical appendices in R, STATA and Python, as well as worked examples, learning questions, exercises and technical definitions, this is a significantly expanded second edition that will be a valuable resource for advanced students of econometrics.
Handbook Of Applied Economic Statistics
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Author : Aman Ullah
language : en
Publisher: CRC Press
Release Date : 1998-02-03
Handbook Of Applied Economic Statistics written by Aman Ullah and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-02-03 with Mathematics categories.
This work examines theoretical issues, as well as practical developments in statistical inference related to econometric models and analysis. This work offers discussions on such areas as the function of statistics in aggregation, income inequality, poverty, health, spatial econometrics, panel and survey data, bootstrapping and time series.
A Primer For Spatial Econometrics
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Author : G. Arbia
language : en
Publisher: Springer
Release Date : 2014-06-30
A Primer For Spatial Econometrics written by G. Arbia and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-30 with Business & Economics categories.
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.
Spatial Econometric Methods In Agricultural Economics Using R
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Author : Paolo Postiglione
language : en
Publisher: CRC Press
Release Date : 2021-12-22
Spatial Econometric Methods In Agricultural Economics Using R written by Paolo Postiglione and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-22 with Technology & Engineering categories.
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 to design spatial surveys for agricultural data and/or to analyse the geographically collected data. This book attempts to describe the main typology of agricultural data and the most appropriate methods for the analysis, together with a detailed description of the available data sources and their collection methods. Topics such as spatial interpolation, point patterns, spatial autocorrelation, survey data analysis, small area estimation, regional data modelling, and spatial econometrics techniques are covered jointly with issues arising from the integration of several data types. The theory of spatial methods is complemented by real and/or simulated examples implemented through the open-source software R.
Non Standard Spatial Statistics And Spatial Econometrics
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Author : Daniel A. Griffith
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-01-11
Non Standard Spatial Statistics And Spatial Econometrics written by Daniel A. Griffith and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-01-11 with Science categories.
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.
Spatial Econometrics Spatial Autoregressive Models
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Author : Lung-fei Lee
language : en
Publisher: World Scientific
Release Date : 2023-10-16
Spatial Econometrics Spatial Autoregressive Models written by Lung-fei Lee and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-16 with Business & Economics categories.
This is the most recently developed book in Spatial Econometrics which cover important models and estimation methods. Its coverage is rather broad, and some of the topics covered have only been developed in the recent econometric literature in spatial econometrics.The book summarizes our devoted efforts on spatial econometrics that represent joint contributions with former PhD advisees from the Ohio State University in Columbus, Ohio, USA.The coverage is comprehensive and there are a total of sixteen chapters from basic statistics and statistical theory of linear-quadratic forms, law of large numbers (LLN) and central limit theory (CLT) on martingales to nonlinear spatial mixing and spatial near-epoch dependence theories, which can justify the statistic inferences for various spatial models and their estimation. New estimation and testing approaches in empirical likelihood and general empirical likelihood, and Bootstrapping are presented. Model selection is also discussed in this book. In addition to the popular spatial autoregressive models, there are chapters on multivariate SAR models, simultaneous SAR models, and panel dynamic spatial models. Recent econometric developments on intertemporal spatial models with rational expectations and flows data in trade theory will also be included. In terms of statistics, classical estimation, testing and inference are the main concerns, and we provide classical inference for the justification of Bayesian simulation approaches.
Spatial Dependence In Linear Regression Models With An Introduction To Spatial Econometrics
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Author : Luc Anselin
language : en
Publisher:
Release Date : 1996
Spatial Dependence In Linear Regression Models With An Introduction To Spatial Econometrics written by Luc Anselin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with categories.
Advanced Introduction To Spatial Statistics
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Author : Griffith, Daniel A.
language : en
Publisher: Edward Elgar Publishing
Release Date : 2022-08-12
Advanced Introduction To Spatial Statistics written by Griffith, Daniel A. and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-12 with Social Science categories.
This Advanced Introduction provides a critical review and discussion of research concerning spatial statistics, differentiating between it and spatial econometrics, to answer a set of core questions covering the geographic-tagging-of-data origins of the concept and its theoretical underpinnings, conceptual advances, and challenges for future scholarly work. It offers a vital tool for understanding spatial statistics and surveys how concerns about violating the independent observations assumption of statistical analysis developed into this discipline.