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Spatial Econometric Interaction Modelling

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Release : 2016-07-25
Genre : Business & Economics
Kind : eBook
Book Rating : 969/5 ( reviews)

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Book Synopsis Spatial Econometric Interaction Modelling by : Roberto Patuelli

Download or read book Spatial Econometric Interaction Modelling written by Roberto Patuelli. This book was released on 2016-07-25. Available in PDF, EPUB and Kindle. Book excerpt: This contributed volume applies spatial and space-time econometric methods to spatial interaction modeling. The first part of the book addresses general cutting-edge methodological questions in spatial econometric interaction modeling, which concern aspects such as coefficient interpretation, constrained estimation, and scale effects. The second part deals with technical solutions to particular estimation issues, such as intraregional flows, Bayesian PPML and VAR estimation. The final part presents a number of empirical applications, ranging from interregional tourism competition and domestic trade to space-time migration modeling and residential relocation.

Spatial Econometrics

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Release : 2017-07-20
Genre : Business & Economics
Kind : eBook
Book Rating : 929/5 ( reviews)

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Book Synopsis Spatial Econometrics by : Harry Kelejian

Download or read book Spatial Econometrics written by Harry Kelejian. This book was released on 2017-07-20. Available in PDF, EPUB and Kindle. Book excerpt: 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

New Directions in Spatial Econometrics

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Release : 2012-12-06
Genre : Business & Economics
Kind : eBook
Book Rating : 772/5 ( reviews)

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Book Synopsis New Directions in Spatial Econometrics by : Luc Anselin

Download or read book New Directions in Spatial Econometrics written by Luc Anselin. This book was released on 2012-12-06. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Conclusions

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Release : 2018
Genre :
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Conclusions by : Giuseppe Arbia

Download or read book Conclusions written by Giuseppe Arbia. This book was released on 2018. Available in PDF, EPUB and Kindle. Book excerpt: The present volume showcased a series of papers related to some of the most recent developments in the field of spatial econometric methods applied to spatial interaction modelling. In particular, this book was motivated by the need to testify, through a collection of methodological and empirical studies, how the various approaches that have been present in this field in the last decades have recently developed, by including tools that are typical of spatial statistics and spatial econometrics, giving birth to a somewhat novel discipline characterized by a body of methods and techniques known under the heading of spatial econometric interaction models.

Spatial Econometrics: Methods and Models

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Release : 2013-03-09
Genre : Business & Economics
Kind : eBook
Book Rating : 994/5 ( reviews)

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Book Synopsis Spatial Econometrics: Methods and Models by : L. Anselin

Download or read book Spatial Econometrics: Methods and Models written by L. Anselin. This book was released on 2013-03-09. Available in PDF, EPUB and Kindle. Book excerpt: 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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