Bandingkan metode
Tinjau metode pilihan Anda berdampingan; baris yang berbeda akan disorot.
| GMM Sistem Bayesian× | Estimator GMM Arellano-Bond× | |
|---|---|---|
| Bidang | Ekonometrika | Ekonometrika |
| Keluarga | Regression model | Regression model |
| Tahun asal≠ | 1998–2010 | 1991 |
| Pencetus≠ | Blundell & Bond (System GMM, 1998); Bayesian integration via Chib and related MCMC literature | Manuel Arellano and Stephen Bond |
| Tipe≠ | Bayesian dynamic panel estimator | GMM estimator for dynamic panel data |
| Sumber perintis≠ | Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115–143. 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 | Bayesian Sys-GMM, Bayesian BB estimator, Bayesian Blundell-Bond GMM, B-SGMM | AB-GMM, Difference GMM, first-difference GMM, Arellano-Bond estimator |
| Terkait | 5 | 5 |
| Ringkasan≠ | Bayesian System GMM combines the Blundell-Bond System Generalized Method of Moments estimator for dynamic panel data with Bayesian prior distributions and posterior inference via MCMC. It handles endogeneity, individual fixed effects, and weak-instrument problems while incorporating prior knowledge and delivering full posterior uncertainty quantification — not just point estimates and asymptotic standard errors. | 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 data ↗ |
|
|