Võrdle meetodeid
Vaata valitud meetodeid kõrvuti; erinevad read on esile tõstetud.
| Ruumi viivis mudel (SAR / ruumiline autoregressiivne)× | Paneelide andmete fikseeritud efektide mudel× | |
|---|---|---|
| Valdkond≠ | Ruumianalüüs | Ökonomeetria |
| Perekond | Regression model | Regression model |
| Tekkeaasta≠ | 1988 | 2014 |
| Looja≠ | Anselin (textbook formalisation); LeSage & Pace | Hsiao (textbook treatment); within transformation of panel data |
| Tüüp≠ | Spatial autoregressive regression | Panel data regression |
| Algallikas≠ | Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic. DOI ↗ | Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗ |
| Rööpnimetused | SAR model, spatial autoregressive model, spatial lag, Uzamsal Gecikme Modeli (SAR / Spatial Lag) | fixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli |
| Seotud | 5 | 5 |
| Kokkuvõte≠ | 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. | The Panel Data Fixed Effects model estimates relationships from panel data (the same units observed over several time periods) while controlling for unit- and/or time-specific effects, supporting causal inference. It is developed as the within estimator in standard treatments such as Hsiao's Analysis of Panel Data (2014). |
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