方法对比

	Bayesian Difference GMM	差分GMM（Arellano-Bond估计量）
领域	计量经济学	计量经济学
方法族	Regression model	Regression model
起源年份	1991/2003	1991
提出者	Arellano & Bond (1991) for Difference GMM; Chernozhukov & Hong (2003) for Bayesian GMM framework	Manuel Arellano and Stephen Bond
类型	Dynamic panel estimator (Bayesian)	GMM panel estimator
开创性文献	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.	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.
别名	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
相关	5	5
摘要	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.