Spatial Microeconometrics PDF Download
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Author | : Giuseppe Arbia |
Publisher | : Routledge |
Total Pages | : 251 |
Release | : 2021-03-25 |
Genre | : Business & Economics |
ISBN | : 1317563484 |
Download Spatial Microeconometrics Book in PDF, ePub and Kindle
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 as independent. In particular, the authors address the consequences of neglecting such important sources of information on statistical inference and how to improve the model predictive performances. The book presents the theory, clarifies the concepts and instructs the readers on how to perform their own analyses, describing in detail the codes which are necessary when using the statistical language R. The book is written by leading figures in the field and is completely up to date with the very latest research. It will be invaluable for graduate students and researchers in economic geography, regional science, spatial econometrics, spatial statistics and urban economics.
Author | : Giuseppe Arbia |
Publisher | : Routledge |
Total Pages | : 259 |
Release | : 2021-03-26 |
Genre | : Business & Economics |
ISBN | : 1317563476 |
Download Spatial Microeconometrics Book in PDF, ePub and Kindle
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 as independent. In particular, the authors address the consequences of neglecting such important sources of information on statistical inference and how to improve the model predictive performances. The book presents the theory, clarifies the concepts and instructs the readers on how to perform their own analyses, describing in detail the codes which are necessary when using the statistical language R. The book is written by leading figures in the field and is completely up to date with the very latest research. It will be invaluable for graduate students and researchers in economic geography, regional science, spatial econometrics, spatial statistics and urban economics.
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 | : 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 | : Steven Durlauf |
Publisher | : Springer |
Total Pages | : 365 |
Release | : 2016-06-07 |
Genre | : Literary Criticism |
ISBN | : 0230280811 |
Download Microeconometrics Book in PDF, ePub and Kindle
Specially selected from The New Palgrave Dictionary of Economics 2nd edition, each article within this compendium covers the fundamental themes within the discipline and is written by a leading practitioner in the field. A handy reference tool.
Author | : Hashimzade, Nigar |
Publisher | : Edward Elgar Publishing |
Total Pages | : 672 |
Release | : 2021-11-18 |
Genre | : Business & Economics |
ISBN | : 1788976487 |
Download Handbook of Research Methods and Applications in Empirical Microeconomics Book in PDF, ePub and Kindle
Written in a comprehensive yet accessible style, this Handbook introduces readers to a range of modern empirical methods with applications in microeconomics, illustrating how to use two of the most popular software packages, Stata and R, in microeconometric applications.
Author | : A. Colin Cameron |
Publisher | : Cambridge University Press |
Total Pages | : 1058 |
Release | : 2005-05-09 |
Genre | : Business & Economics |
ISBN | : 1139444867 |
Download Microeconometrics Book in PDF, ePub and Kindle
This book provides the most comprehensive treatment to date of microeconometrics, the analysis of individual-level data on the economic behavior of individuals or firms using regression methods for cross section and panel data. The book is oriented to the practitioner. A basic understanding of the linear regression model with matrix algebra is assumed. The text can be used for a microeconometrics course, typically a second-year economics PhD course; for data-oriented applied microeconometrics field courses; and as a reference work for graduate students and applied researchers who wish to fill in gaps in their toolkit. Distinguishing features of the book include emphasis on nonlinear models and robust inference, simulation-based estimation, and problems of complex survey data. The book makes frequent use of numerical examples based on generated data to illustrate the key models and methods. More substantially, it systematically integrates into the text empirical illustrations based on seven large and exceptionally rich data sets.
Author | : G. Arbia |
Publisher | : Springer |
Total Pages | : 161 |
Release | : 2014-06-30 |
Genre | : Business & Economics |
ISBN | : 1137317949 |
Download A Primer for Spatial Econometrics Book in PDF, ePub and Kindle
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.
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 | : 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.