The system GMM estimator in dynamic panel data models combines moment conditions for hte differenced equation with moment conditions for the model in levels. An initial optimal weight matrix under homoscedasticity and non-serial correlation is not known for this estimation procedure. It is common practice to use the inverse of the moment matrix of the instruments as the initial weight matrix. This paper assesses the potential efficiency loss from the use of this weight matrix using the efficiency bounds as derived by Liu and Neudecker (1997).
This paper derives an approximation of the mean square error (MSE) of the GMM estimator in dynamic p...
This paper evaluates the first-differenced maximum likelihood (FDML) and the continuously updating s...
This paper addresses the many instruments problem, i.e. (1) the trade-off between the bias and the e...
The system GMM estimator in dynamic panel data models combines moment conditions for hte differenced...
In dynamic panel models, the generalized method of moments (GMM) has been used in many applications ...
The system GMM estimator in dynamic panel data models which combines two moment conditions, i.e., fo...
In dynamic panel data (DPD) models, the generalized method of moments (GMM) estimation gives efficie...
This chapter reviews developments to improve on the poor performance of the standard GMM estimator f...
This paper considers first-order autoregressive panel model which is a simple model for dynamic pane...
This paper examines analytically and experimentally why the system GMM estimator in dynamic panel da...
The commonly used 1-step and 2-step System GMM estimators for the panel AR(1) model are inconsisten...
The system GMM estimator for dynamic panel data models combines moment conditions for the model in f...
The system GMM estimator for dynamic panel data models combines moment conditions for the model in f...
Studies employing Arellano-Bond and Blundell-Bond generalized method of moments (GMM) estimation for...
†I am deeply grateful to Taku Yamamoto for his helpful and constructive comments. I also would like ...
This paper derives an approximation of the mean square error (MSE) of the GMM estimator in dynamic p...
This paper evaluates the first-differenced maximum likelihood (FDML) and the continuously updating s...
This paper addresses the many instruments problem, i.e. (1) the trade-off between the bias and the e...
The system GMM estimator in dynamic panel data models combines moment conditions for hte differenced...
In dynamic panel models, the generalized method of moments (GMM) has been used in many applications ...
The system GMM estimator in dynamic panel data models which combines two moment conditions, i.e., fo...
In dynamic panel data (DPD) models, the generalized method of moments (GMM) estimation gives efficie...
This chapter reviews developments to improve on the poor performance of the standard GMM estimator f...
This paper considers first-order autoregressive panel model which is a simple model for dynamic pane...
This paper examines analytically and experimentally why the system GMM estimator in dynamic panel da...
The commonly used 1-step and 2-step System GMM estimators for the panel AR(1) model are inconsisten...
The system GMM estimator for dynamic panel data models combines moment conditions for the model in f...
The system GMM estimator for dynamic panel data models combines moment conditions for the model in f...
Studies employing Arellano-Bond and Blundell-Bond generalized method of moments (GMM) estimation for...
†I am deeply grateful to Taku Yamamoto for his helpful and constructive comments. I also would like ...
This paper derives an approximation of the mean square error (MSE) of the GMM estimator in dynamic p...
This paper evaluates the first-differenced maximum likelihood (FDML) and the continuously updating s...
This paper addresses the many instruments problem, i.e. (1) the trade-off between the bias and the e...