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| 패널 네트워크 기반 공간 분석× | 패널 공간 오차 모형× | |
|---|---|---|
| 분야 | 공간분석 | 공간분석 |
| 계열 | Regression model | Regression model |
| 기원 연도≠ | 2000s–2010s | 1988 / 2003 |
| 창시자≠ | Developed from LeSage & Pace spatial econometrics and Elhorst panel spatial frameworks | Anselin (1988); extended to panels by Elhorst (2003, 2014) |
| 유형≠ | Panel spatial regression | Spatial econometric panel model |
| 원전≠ | LeSage, J. P., & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press / Taylor & Francis. ISBN: 978-1420064247 | Elhorst, J. P. (2014). Spatial Econometrics: From Cross-Sectional Data to Spatial Panels. Springer. ISBN: 978-3642403408 |
| 별칭 | panel spatial network analysis, longitudinal network spatial analysis, panel network spatial econometrics, PNBSA | panel SEM, spatial error panel model, panel spatial autocorrelation error model, SEM panel |
| 관련 | 5 | 5 |
| 요약≠ | Panel Network-Based Spatial Analysis extends standard spatial econometric models to repeated-measures (panel) data by representing spatial dependence through network connectivity rather than simple geographic proximity. It captures how units connected in a network influence each other's outcomes over time, while controlling for unit-level and time-level fixed effects. | 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. |
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