Σύγκριση μεθόδων
Εξετάστε τις επιλεγμένες μεθόδους δίπλα-δίπλα· οι γραμμές που διαφέρουν επισημαίνονται.
| Μοντέλο Αυτοπαλίνδρομης Σειράς Πάνελ (Panel AR)× | Μοντέλο Σταθερών Επιπτώσεων× | |
|---|---|---|
| Πεδίο | Οικονομετρία | Οικονομετρία |
| Οικογένεια | Regression model | Regression model |
| Έτος προέλευσης≠ | 1980s-2000s | 1971–1978 |
| Δημιουργός≠ | Hsiao, C.; Arellano, M. | Mundlak (1978); Nerlove (1971); classical panel econometrics |
| Τύπος≠ | Autoregressive time-series model for panel data | Panel regression estimator |
| Θεμελιώδης πηγή≠ | Hsiao, C. (2003). Analysis of Panel Data (2nd ed.). Cambridge University Press. ISBN: 978-0521522717 | Baltagi, B. H. (2021). Econometric Analysis of Panel Data (6th ed.). Springer. ISBN: 978-3030538002 |
| Εναλλακτικές ονομασίες | panel autoregressive model, PAR model, AR model for panel data, panel AR(p) | FE model, within estimator, least squares dummy variable, LSDV regression |
| Συναφείς | 5 | 5 |
| Σύνοψη≠ | The Panel AR model extends the classical univariate autoregressive model to panel data, capturing how each unit's own past values predict its current value while controlling for unobserved individual heterogeneity through fixed or random effects. It is foundational for modelling dynamic persistence in micro or macro panel datasets. | The fixed effects (FE) model is the workhorse estimator for panel data when unobserved unit-specific characteristics are suspected to correlate with the regressors. By absorbing each entity's time-invariant heterogeneity into a separate intercept, FE isolates the causal effect of within-unit variation and eliminates omitted-variable bias from time-constant confounders. |
| ScholarGateΣύνολο δεδομένων ↗ |
|
|