Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Difference GMM cu Schimbări Structurale× | Estimatorul GMM Arellano-Bond× | |
|---|---|---|
| Domeniu | Econometrie | Econometrie |
| Familie | Regression model | Regression model |
| Anul apariției≠ | 1991 / 1998 | 1991 |
| Autorul original≠ | Arellano & Bond (Difference GMM); Bai & Perron (structural break testing) | Manuel Arellano and Stephen Bond |
| Tip≠ | Dynamic panel estimator with structural breaks | GMM estimator for dynamic panel data |
| Sursa seminală≠ | 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 ↗ | Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. Review of Economic Studies, 58(2), 277-297. DOI ↗ |
| Denumiri alternative | Difference GMM with structural breaks, break-augmented Arellano-Bond GMM, dynamic panel GMM with regime shifts, structural change Difference GMM | AB-GMM, Difference GMM, first-difference GMM, Arellano-Bond estimator |
| Înrudite≠ | 6 | 5 |
| Rezumat≠ | Structural Break Difference GMM extends the Arellano-Bond first-difference GMM estimator to dynamic panel settings where the data-generating process shifts at one or more unknown breakpoints. By explicitly incorporating break indicators or allowing regime-specific parameters, the estimator avoids the biased coefficient and invalid moment conditions that arise when a structural change is ignored in a standard Difference GMM fit. | The Arellano-Bond GMM estimator is the standard approach for dynamic panel data models in which the lagged dependent variable appears as a regressor. By first-differencing to remove fixed effects and using deeper lags as instruments, it yields consistent estimates even when the error is serially correlated and regressors are endogenous. |
| ScholarGateSet de date ↗ |
|
|