Võrdle meetodeid
Vaata valitud meetodeid kõrvuti; erinevad read on esile tõstetud.
| Robustne erinevuste GMM× | Robust System GMM× | |
|---|---|---|
| Valdkond | Ökonomeetria | Ökonomeetria |
| Perekond | Regression model | Regression model |
| Tekkeaasta≠ | 1991 / 2005 | 1998–2005 |
| Looja≠ | Arellano & Bond (1991); robust inference extension via Windmeijer (2005) | Blundell & Bond (1998); robustness corrections by Windmeijer (2005) |
| Tüüp≠ | GMM estimator with robust standard errors | Panel data GMM estimator |
| Algallikas≠ | Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. The Review of Economic Studies, 58(2), 277-297. DOI ↗ | Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115–143. DOI ↗ |
| Rööpnimetused | robust Arellano-Bond estimator, difference GMM with robust SE, HAC difference GMM, AB-GMM robust | system GMM with robust standard errors, two-step system GMM, Blundell-Bond robust estimator, robust S-GMM |
| Seotud≠ | 6 | 5 |
| Kokkuvõte≠ | Robust Difference GMM applies the Arellano-Bond first-difference GMM estimator with heteroscedasticity- and autocorrelation-consistent (HAC) or Windmeijer-corrected standard errors, delivering valid inference for dynamic panel models even when error variances are non-constant or residuals are cross-sectionally correlated. | Robust System GMM is a two-step panel data estimator that combines the difference and levels moment conditions of Blundell and Bond (1998) with Windmeijer's (2005) finite-sample correction to the two-step variance, producing valid inference even in short panels with a persistent dependent variable, individual fixed effects, and potentially endogenous regressors. |
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