Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Просторово-часова просторова модель Дарбіна (ST-SDM)× | Просторова модель помилок (SEM)× | |
|---|---|---|
| Галузь | Просторовий аналіз | Просторовий аналіз |
| Родина | Regression model | Regression model |
| Рік появи≠ | 2009-2014 | 1988 |
| Автор методу≠ | LeSage & Pace; extended to space-time by Elhorst | Anselin |
| Тип≠ | Spatial econometric panel model | Spatial regression (spatially autocorrelated errors) |
| Основоположне джерело≠ | LeSage, J. P., & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press / Taylor & Francis. ISBN: 978-1420064247 | Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic. DOI ↗ |
| Інші назви | ST-SDM, spatiotemporal Durbin model, spatial Durbin panel model, space-time SDM | SEM, spatial error regression, spatial autoregressive error model, Uzamsal Hata Modeli (SEM / Spatial Error) |
| Пов'язані≠ | 6 | 5 |
| Підсумок≠ | The Space-Time Spatial Durbin Model extends the cross-sectional Spatial Durbin Model to panel data, simultaneously capturing spatial spillovers in both the dependent variable and the explanatory variables across space and over time. It is the most general and flexible specification in the spatial panel family, nesting the spatial lag and spatial error models as special cases. | The Spatial Error Model, developed within Anselin's spatial econometrics framework (1988), is a regression model that assumes spatial dependence enters through the error term: the disturbances of neighbouring units are correlated. It is used when unobserved shared factors make the errors of nearby observations move together, and it is estimated by maximum likelihood or GMM rather than ordinary least squares. |
| ScholarGateНабір даних ↗ |
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