This book bridges the gap between economic theory and spatial econometric techniques. It is accessible to those with only a basic statistical background and no prior knowledge of spatial econometric methods. It provides a comprehensive treatment of the topic, motivating the reader with examples and analysis. The volume provides a rigorous treatment of the basic spatial linear model, and it discusses the violations of the classical regression assumptions that occur when dealing with spatial data.
| 1 | Motivation | 3 |
| 2 | Random fields and spatial models | 31 |
| 3 | Likelihood function for spatial samples | 73 |
| 4 | The linear regression model with spatial data | 85 |
| 5 | Italian and European [beta]-convergence models revisited | 135 |
| 6 | Looking ahead : a review of more advanced topics in spatial econometrics | 147 |
| App. A | A review of the available software for spatial econometric analysis | 163 |
Overview
This book bridges the gap between economic theory and spatial econometric techniques. It is accessible to those with only a basic statistical background and no prior knowledge of spatial econometric methods. It provides a comprehensive treatment of the topic, motivating the reader with examples and analysis. The volume provides a rigorous treatment of the basic spatial linear model, and it discusses the violations of the classical regression assumptions that occur when dealing ...