When there are more moment conditions than observations, the usual GMM weighting matrix is singular. We show that using the generalized inverse is not a good idea. With continuous updating, the criterion function equals one for every parameter value.
The efficiency of the generalized method of moment (GMM) estimator is addressed by using a character...
For the basic dynamic panel data model we give an expression for the optimal instrumental variable (...
It is well-known that the method of moments (MM) estimator is usu-ally ine ¢ cient relative to the m...
When in a linear GMM model nuisance parameters are eliminated by multiplying the moment conditions b...
We consider questions of efficiency and redundancy in the GMM estimation problem in which we have tw...
The generalized method of moments (GMM) framework generalizes the linear IV model, to other settings...
There are two difficulties with the implementation of the characteristic function-based estimators. ...
We describe an intuitive, simple, and systematic approach to generating moment conditions for genera...
One-step efficient GMM estimation has been developed in the recent papers of Back and Brown (1990), ...
We describe an intuitive, simple, and systematic approach to generating moment conditions for genera...
For estimating distributions from grouped data, setting up moment conditions in terms of group share...
This paper provides a first order asymptotic theory for generalized method of moments (GMM) estimato...
This paper determines the properties of standard generalized method of moments (GMM) estimators, tes...
General Method of Moments (GMM) estimation of a linear one-equation model using panel data with erro...
General Method of Moments (GMM) estimation of a linear one-equation model using panel data with erro...
The efficiency of the generalized method of moment (GMM) estimator is addressed by using a character...
For the basic dynamic panel data model we give an expression for the optimal instrumental variable (...
It is well-known that the method of moments (MM) estimator is usu-ally ine ¢ cient relative to the m...
When in a linear GMM model nuisance parameters are eliminated by multiplying the moment conditions b...
We consider questions of efficiency and redundancy in the GMM estimation problem in which we have tw...
The generalized method of moments (GMM) framework generalizes the linear IV model, to other settings...
There are two difficulties with the implementation of the characteristic function-based estimators. ...
We describe an intuitive, simple, and systematic approach to generating moment conditions for genera...
One-step efficient GMM estimation has been developed in the recent papers of Back and Brown (1990), ...
We describe an intuitive, simple, and systematic approach to generating moment conditions for genera...
For estimating distributions from grouped data, setting up moment conditions in terms of group share...
This paper provides a first order asymptotic theory for generalized method of moments (GMM) estimato...
This paper determines the properties of standard generalized method of moments (GMM) estimators, tes...
General Method of Moments (GMM) estimation of a linear one-equation model using panel data with erro...
General Method of Moments (GMM) estimation of a linear one-equation model using panel data with erro...
The efficiency of the generalized method of moment (GMM) estimator is addressed by using a character...
For the basic dynamic panel data model we give an expression for the optimal instrumental variable (...
It is well-known that the method of moments (MM) estimator is usu-ally ine ¢ cient relative to the m...