Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| GMM Tofauti ya Bayesian× | Kiendesha cha GMM cha Tofauti (Kiendesha cha Arellano-Bond)× | |
|---|---|---|
| Nyanja | Ekonometriki | Ekonometriki |
| Familia | Regression model | Regression model |
| Mwaka wa asili≠ | 1991/2003 | 1991 |
| Mwanzilishi≠ | Arellano & Bond (1991) for Difference GMM; Chernozhukov & Hong (2003) for Bayesian GMM framework | Manuel Arellano and Stephen Bond |
| Aina≠ | Dynamic panel estimator (Bayesian) | GMM panel estimator |
| Chanzo asilia≠ | 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 ↗ |
| Majina mbadala | Bayesian Arellano-Bond estimator, Bayesian difference GMM, quasi-Bayesian difference GMM, Bayesian first-difference GMM | Arellano-Bond estimator, AB-GMM, first-difference GMM, difference GMM estimator |
| Zinazohusiana | 5 | 5 |
| Muhtasari≠ | Bayesian Difference GMM combines the Arellano-Bond first-differencing strategy for dynamic panel data with a Bayesian inference framework. By treating the GMM moment conditions as a quasi-likelihood and placing priors on parameters, the approach produces a full posterior distribution over coefficients rather than a single point estimate with asymptotic standard errors. | 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. |
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