השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| אמידת GMM מערכתית לפנל (אומד בלנדל-בונד)× | מודל אפקטים קבועים בפאנל× | |
|---|---|---|
| תחום | אקונומטריקה | אקונומטריקה |
| משפחה | Regression model | Regression model |
| שנת המקור≠ | 1998 | 1978 |
| הוגה השיטה≠ | Blundell & Bond (1998); Arellano & Bover (1995) | Mundlak (1978); classical treatment in Wooldridge (2010) and Baltagi (2021) |
| סוג≠ | GMM estimator for dynamic panel data | Panel regression estimator |
| מקור מכונן≠ | Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115–143. DOI ↗ | Wooldridge, J. M. (2010). Econometric Analysis of Cross Section and Panel Data (2nd ed.). MIT Press. ISBN: 978-0262232586 |
| כינויים | System GMM, Blundell-Bond estimator, SYS-GMM, two-step System GMM | within estimator, FE model, within-group estimator, LSDV model |
| קשורות≠ | 6 | 5 |
| תקציר≠ | Panel System GMM is a two-equation GMM estimator for dynamic panel data that stacks the differenced equation (using lagged levels as instruments) with the levels equation (using lagged differences as instruments). Developed by Blundell and Bond (1998) on the foundation of Arellano and Bover (1995), it is the preferred tool when the lagged dependent variable is highly persistent or individual effects are large. | The panel fixed effects (FE) model controls for all time-invariant, unit-specific unobserved heterogeneity by absorbing it into individual intercepts. By sweeping out unit means through the within transformation, FE yields unbiased estimates of the effect of time-varying regressors even when omitted unit-level confounders are correlated with those regressors. |
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