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- 340 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Introduction to Spatial Econometrics
Book details
Table of contents
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About This Book
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
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Yes, you can access Introduction to Spatial Econometrics by James LeSage, Robert Kelley Pace in PDF and/or ePUB format, as well as other popular books in Economics & Economic Theory. We have over one million books available in our catalogue for you to explore.
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Table of contents
- Front Cover
- Contents
- List of Figures
- List of Tables
- Preface
- Acknowledgements
- Symbol Description
- Chapter 1. Introduction
- Chapter 2. Motivating and Interpreting Spatial Econometric Models
- Chapter 3. Maximum Likelihood Estimation
- Chapter 4. Log-determinants and Spatial Weights
- Chapter 5. Bayesian Spatial Econometric Models
- Chapter 6. Model Comparison
- Chapter 7. Spatiotemporal and Spatial Models
- Chapter 8. Spatial Econometric Interaction Models
- Chapter 9. Matrix Exponential Spatial Models
- Chapter 10. Limited Dependent Variable Spatial Models
- References
- Color Insert
- Back Cover