Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Панельная пространственная модель ошибок (Panel Spatial Error Model, panel SEM)× | Пространственная модель панельных данных (FE/RE)× | |
|---|---|---|
| Область | Пространственный анализ | Пространственный анализ |
| Семейство | Regression model | Regression model |
| Год появления≠ | 1988 / 2003 | 2014 |
| Автор метода≠ | Anselin (1988); extended to panels by Elhorst (2003, 2014) | Elhorst; Lee & Yu |
| Тип | Spatial econometric panel model | Spatial econometric panel model |
| Основополагающий источник | Elhorst, J. P. (2014). Spatial Econometrics: From Cross-Sectional Data to Spatial Panels. Springer. ISBN: 978-3642403408 | Elhorst, J. P. (2014). Spatial Econometrics: From Cross-Sectional Data to Spatial Panels. Springer. DOI ↗ |
| Другие названия | panel SEM, spatial error panel model, panel spatial autocorrelation error model, SEM panel | spatial panel FE/RE, spatial econometric panel, spatial lag/error panel, Uzamsal Panel Modeli (Spatial Panel FE/RE) |
| Связанные≠ | 5 | 4 |
| 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 panel model is a family of econometric models that adds spatial dependence to panel data (units observed over time). It combines fixed- or random-effects panel structure with spatial lag, spatial error, or spatial Durbin components, and is developed in the modern spatial-econometrics literature by Elhorst (2014) and Lee & Yu (2010). |
| ScholarGateНабор данных ↗ |
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