Σύγκριση μεθόδων
Εξετάστε τις επιλεγμένες μεθόδους δίπλα-δίπλα· οι γραμμές που διαφέρουν επισημαίνονται.
| Μοντέλο Χωρικής Υστέρησης (SAR / Χωρικό Αυτοπαλίνδρομο)× | Μοντέλο Σταθερών Επιπτώσεων Δεδομένων Πάνελ× | |
|---|---|---|
| Πεδίο≠ | Χωρική Ανάλυση | Οικονομετρία |
| Οικογένεια | Regression model | Regression model |
| Έτος προέλευσης≠ | 1988 | 2014 |
| Δημιουργός≠ | Anselin (textbook formalisation); LeSage & Pace | Hsiao (textbook treatment); within transformation of panel data |
| Τύπος≠ | Spatial autoregressive regression | Panel data regression |
| Θεμελιώδης πηγή≠ | Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic. DOI ↗ | Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗ |
| Εναλλακτικές ονομασίες | 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 |
| Συναφείς | 5 | 5 |
| Σύνοψη≠ | 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). |
| ScholarGateΣύνολο δεδομένων ↗ |
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