Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Bayesian System GMM× | Sistēmas GMM panelim (Blundell-Bonda novērtētājs)× | |
|---|---|---|
| Nozare | Ekonometrija | Ekonometrija |
| Saime | Regression model | Regression model |
| Izcelsmes gads≠ | 1998–2010 | 1998 |
| Autors≠ | Blundell & Bond (System GMM, 1998); Bayesian integration via Chib and related MCMC literature | Blundell & Bond (1998); Arellano & Bover (1995) |
| Tips≠ | Bayesian dynamic panel estimator | GMM estimator for dynamic panel data |
| Pirmavots | Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115–143. DOI ↗ | Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115–143. DOI ↗ |
| Citi nosaukumi | Bayesian Sys-GMM, Bayesian BB estimator, Bayesian Blundell-Bond GMM, B-SGMM | System GMM, Blundell-Bond estimator, SYS-GMM, two-step System GMM |
| Saistītās≠ | 5 | 6 |
| Kopsavilkums≠ | 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. | 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. |
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