Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Telpiskās regresijas paneļa analīze× | Fiksēto efektu paneļa datu modelis× | |
|---|---|---|
| Nozare≠ | Telpiskā analīze | Ekonometrija |
| Saime | Regression model | Regression model |
| Izcelsmes gads≠ | 1988-2014 | 2014 |
| Autors≠ | Anselin, Elhorst, and colleagues in spatial econometrics | Hsiao (textbook treatment); within transformation of panel data |
| Tips≠ | Spatial panel regression | Panel data regression |
| Pirmavots≠ | Elhorst, J. P. (2014). Spatial Econometrics: From Cross-Sectional Data to Spatial Panels. Springer. ISBN: 978-3642403408 | Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗ |
| Citi nosaukumi | spatial panel model, panel spatial econometrics, spatial panel data regression, PSR | fixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli |
| Saistītās≠ | 6 | 5 |
| Kopsavilkums≠ | Panel Spatial Regression extends standard panel data models by explicitly accounting for spatial dependence among cross-sectional units observed over time. It combines the temporal control of panel fixed or random effects with a spatial weights matrix that encodes geographic or network proximity, yielding unbiased and efficient estimates when observations are spatially correlated across units. | 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). |
| ScholarGateDatu kopa ↗ |
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