مقایسهٔ روشها
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| مدل پانل فضایی-زمانی مکانی× | مدل وقفه فضایی (SAR / خودرگرسیون فضایی)× | |
|---|---|---|
| حوزه | تحلیل فضایی | تحلیل فضایی |
| خانواده | Regression model | Regression model |
| سال پیدایش≠ | 2003–2014 | 1988 |
| پدیدآور≠ | J. Paul Elhorst | Anselin (textbook formalisation); LeSage & Pace |
| نوع≠ | Spatial panel regression | Spatial autoregressive regression |
| منبع بنیادین≠ | 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 ↗ |
| نامهای دیگر | ST-SPM, spatiotemporal panel model, space-time panel econometrics, dynamic spatial panel model | SAR model, spatial autoregressive model, spatial lag, Uzamsal Gecikme Modeli (SAR / Spatial Lag) |
| 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 Spatial Lag Model is an autoregressive regression that assumes spatial dependence in the dependent variable itself: the outcome values of neighbouring units enter the model as an explanatory term (ρWy). It was formalised in Anselin's Spatial Econometrics (1988) and developed further by LeSage and Pace (2009), and it decomposes spillover effects into direct, indirect, and total impacts. |
| ScholarGateمجموعهداده ↗ |
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