Spatial Econometric Methods in Agricultural Economics Using R
Spatial Econometric Methods in Agricultural Economics Using R

Author: Paolo Postiglione

Publisher: CRC Press

Published: 2021-12-22

Total Pages: 287

ISBN-13: 1498766838

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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.

Spatial Econometric Methods in Agricultural Economics Using R
Spatial Econometric Methods in Agricultural Economics Using R

Author: Paolo Postiglione

Publisher: CRC Press

Published: 2021-12-23

Total Pages: 343

ISBN-13: 0429532067

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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.

Advances in Spatial Econometrics
Advances in Spatial Econometrics

Author: Luc Anselin

Publisher: Springer Science & Business Media

Published: 2013-03-09

Total Pages: 516

ISBN-13: 3662056178

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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, and environmental issues. An exciting new text for academics with a theoretical interest in spatial statistics and econometrics, and for practitioners looking for modern and up-to-date techniques.

New Directions in Spatial Econometrics
New Directions in Spatial Econometrics

Author: Luc Anselin

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 432

ISBN-13: 3642798772

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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.

Spatial Econometrics
Spatial Econometrics

Author: J. Paul Elhorst

Publisher: Springer Science & Business Media

Published: 2013-09-30

Total Pages: 125

ISBN-13: 3642403409

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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.

Applied Spatial Statistics and Econometrics
Applied Spatial Statistics and Econometrics

Author: Katarzyna Kopczewska

Publisher: Routledge

Published: 2020-11-25

Total Pages: 725

ISBN-13: 1000079783

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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.

Introduction to Spatial Econometrics
Introduction to Spatial Econometrics

Author: James LeSage

Publisher: CRC Press

Published: 2009-01-20

Total Pages: 362

ISBN-13: 1420064258

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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

Handbook of Applied Economic Statistics
Handbook of Applied Economic Statistics

Author: Aman Ullah

Publisher: CRC Press

Published: 1998-02-03

Total Pages: 646

ISBN-13: 1482269902

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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.

The Econometrics of Panel Data
The Econometrics of Panel Data

Author: Lászlo Mátyás

Publisher: Advanced Studies in Theoretical and Applied Econometrics

Published: 2008-04-25

Total Pages: 992

ISBN-13:

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This volume provides a general overview of the econometrics of panel data, both from a theoretical and from an applied viewpoint. This third edition provides a presentation of theoretical developments as well as surveys about how econometric tools are used to study firms and household's behaviors.

Spatial Microeconometrics
Spatial Microeconometrics

Author: Giuseppe Arbia

Publisher: Routledge

Published: 2021-03-25

Total Pages: 251

ISBN-13: 1317563484

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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.