مقایسهٔ روشها
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| مدل پانل فضایی-زمانی مکانی× | مدل خودهمبستگی فضایی-زمانی وابسته× | |
|---|---|---|
| حوزه | تحلیل فضایی | تحلیل فضایی |
| خانواده | Regression model | Regression model |
| سال پیدایش≠ | 2003–2014 | 2003-2008 |
| پدیدآور≠ | J. Paul Elhorst | Anselin, Le Gallo & Jayet; Elhorst |
| نوع | Spatial panel regression | Spatial panel regression |
| منبع بنیادین≠ | Elhorst, J. P. (2014). Spatial Econometrics: From Cross-Sectional Data to Spatial Panels. Springer. ISBN: 978-3642403408 | Anselin, L., Le Gallo, J., & Jayet, H. (2008). Spatial Panel Econometrics. In L. Matyas & P. Sevestre (Eds.), The Econometrics of Panel Data (pp. 625-660). Springer. link ↗ |
| نامهای دیگر | ST-SPM, spatiotemporal panel model, space-time panel econometrics, dynamic spatial panel model | ST-SAR, spatial-temporal lag model, spatiotemporal autoregressive model, space-time SAR model |
| مرتبط | 5 | 5 |
| خلاصه≠ | The Space-Time Spatial Panel Model extends standard spatial panel econometrics to jointly account for cross-sectional spatial dependence, temporal autocorrelation, and unit-level heterogeneity. It allows outcomes in one location and time period to be influenced by outcomes in neighboring locations and by the location's own past, making it the canonical framework for dynamic spatiotemporal panel data analysis. | The Space-Time Spatial Lag Model extends the classic spatial autoregressive (SAR) lag model to panel data, capturing how the outcome in each location at each time point is influenced by the contemporaneous outcomes of neighboring locations, while also controlling for unit-specific and time-specific fixed effects. |
| ScholarGateمجموعهداده ↗ |
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