Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Панельная пространственная модель ошибок (Panel Spatial Error Model, panel SEM)× | Пространственная модель ошибок (Spatial Error Model, SEM)× | |
|---|---|---|
| Область | Пространственный анализ | Пространственный анализ |
| Семейство | Regression model | Regression model |
| Год появления≠ | 1988 / 2003 | 1988 |
| Автор метода≠ | Anselin (1988); extended to panels by Elhorst (2003, 2014) | Anselin |
| Тип≠ | Spatial econometric panel model | Spatial regression (spatially autocorrelated errors) |
| Основополагающий источник≠ | Elhorst, J. P. (2014). Spatial Econometrics: From Cross-Sectional Data to Spatial Panels. Springer. ISBN: 978-3642403408 | Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic. DOI ↗ |
| Другие названия | panel SEM, spatial error panel model, panel spatial autocorrelation error model, SEM panel | SEM, spatial error regression, spatial autoregressive error model, Uzamsal Hata Modeli (SEM / Spatial Error) |
| Связанные | 5 | 5 |
| Сводка≠ | The Panel Spatial Error Model (panel SEM) extends the classical spatial error model to panel data, allowing spatial dependence to enter through the error term across cross-sectional units over multiple time periods. It accounts for spatially correlated omitted variables without imposing a substantive spatial spillover in the outcome itself. | 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. |
| ScholarGateНабор данных ↗ |
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