Bandingkan kaedah
Semak kaedah pilihan anda secara bersebelahan; baris yang berbeza akan diserlahkan.
| Estimator Perbezaan GMM (Estimator Arellano-Bond)× | Model Panel Data Dinamik× | |
|---|---|---|
| Bidang | Ekonometrik | Ekonometrik |
| Keluarga | Regression model | Regression model |
| Tahun asal≠ | 1991 | 1988–1991 |
| Pengasas≠ | Manuel Arellano and Stephen Bond | Arellano & Bond (1991); Holtz-Eakin, Newey & Rosen (1988) |
| Jenis≠ | GMM panel estimator | Dynamic regression / GMM estimation |
| Sumber perintis | 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 ↗ | 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 ↗ |
| Alias | Arellano-Bond estimator, AB-GMM, first-difference GMM, difference GMM estimator | dynamic panel model, panel data model with lagged dependent variable, DPD model, Arellano-Bond model |
| Berkaitan | 5 | 5 |
| Ringkasan≠ | Difference GMM, introduced by Arellano and Bond (1991), estimates dynamic panel data models by first-differencing the equation to remove fixed effects, then using lagged levels of the endogenous variables as GMM instruments. It is the standard approach when a lagged dependent variable or other endogenous regressors are present in a panel with many units and few time periods. | The dynamic panel data model extends standard panel regression by including a lagged value of the outcome variable as a regressor, capturing persistence and adjustment dynamics. Because the lagged dependent variable is correlated with the unit-specific fixed effect, ordinary OLS or within estimators are biased; GMM-based methods using internal instruments are the standard remedy. |
| ScholarGateSet data ↗ |
|
|