
- 458 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Spatial Econometrics
About this book
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
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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Spatial Econometrics by Harry Kelejian,Gianfranco Piras in PDF and/or ePUB format, as well as other popular books in Economics & Econometrics. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover image
- Title page
- Table of Contents
- Copyright
- List of Empirical Illustrations
- List of Figures
- List of Tables
- Preface
- Acknowledgements
- Chapter 1: Spatial Models: Basic Issues
- Chapter 2: Specification and Estimation
- Chapter 3: Spillover Effects in Spatial Models
- Chapter 4: Predictors in Spatial Models
- Chapter 5: Problems in Estimating Weighting Matrices
- Chapter 6: Additional Endogenous Variables: Possible Nonlinearities
- Chapter 7: Bayesian Analysis
- Chapter 8: Pretest and Sample Selection Issues in Spatial Analysis
- Chapter 9: HAC Estimation of VC Matrices
- Chapter 10: Missing Data and Edge Issues
- Chapter 11: Tests for Spatial Correlation
- Chapter 12: Nonnested Models and the J-Test
- Chapter 13: Endogenous Weighting Matrices: Specifications and Estimation
- Chapter 14: Systems of Spatial Equations
- Chapter 15: Panel Data Models
- Appendix A: Introduction to Large Sample Theory
- Appendix B: Spatial Models in R
- Answer Manual
- References
- Index