Methoden vergleichen

	Bayesian Difference GMM	Bayesianisches System-GMM
Fachgebiet	Ökonometrie	Ökonometrie
Familie	Regression model	Regression model
Entstehungsjahr	1991/2003	1998–2010
Urheber	Arellano & Bond (1991) for Difference GMM; Chernozhukov & Hong (2003) for Bayesian GMM framework	Blundell & Bond (System GMM, 1998); Bayesian integration via Chib and related MCMC literature
Typ	Dynamic panel estimator (Bayesian)	Bayesian dynamic panel estimator
Wegweisende Quelle	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.	Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115–143.
Aliasnamen	Bayesian Arellano-Bond estimator, Bayesian difference GMM, quasi-Bayesian difference GMM, Bayesian first-difference GMM	Bayesian Sys-GMM, Bayesian BB estimator, Bayesian Blundell-Bond GMM, B-SGMM
Verwandt	5	5
Zusammenfassung	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.	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.